From f511521e010835fb601889be2defdd6d67d25efc Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 4 Aug 2020 17:41:11 +0200 Subject: [PATCH 01/26] install cython deps --- setup.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/setup.py b/setup.py index 4aa3d52a..1780f10a 100644 --- a/setup.py +++ b/setup.py @@ -10,6 +10,15 @@ from setuptools import setup, find_packages import setuptools.command.develop import setuptools.command.build_py +# handle import if cython is not already installed. +try: + from Cython.Build import cythonize +except ImportError: + # create closure for deferred import + def cythonize (*args, ** kwargs ): + from Cython.Build import cythonize + return cythonize(*args, ** kwargs) + parser = argparse.ArgumentParser(add_help=False, allow_abbrev=False) parser.add_argument('--checkpoint', type=str, help='Path to checkpoint file to embed in wheel.') @@ -99,6 +108,7 @@ setup( 'tts-server = TTS.server.server:main' ] }, + ext_modules=cythonize(find_pyx(), language_level=3), packages=find_packages(include=['TTS*']), project_urls={ 'Documentation': 'https://github.com/mozilla/TTS/wiki', From 95de34e8efb64ec6ca250d9964b5ff79563aa6eb Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 4 Aug 2020 17:44:26 +0200 Subject: [PATCH 02/26] find cython files insetup --- setup.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/setup.py b/setup.py index 1780f10a..18b0c742 100644 --- a/setup.py +++ b/setup.py @@ -45,6 +45,16 @@ else: pass +# Handle Cython code +def find_pyx(path='.'): + pyx_files = [] + for root, dirs, filenames in os.walk(path): + for fname in filenames: + if fname.endswith('.pyx'): + pyx_files.append(os.path.join(root, fname)) + return pyx_files + + class build_py(setuptools.command.build_py.build_py): # pylint: disable=too-many-ancestors def run(self): self.create_version_file() From 89d15bf118078c79b22e422d6e9228c3bdc5100e Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 4 Aug 2020 18:06:34 +0200 Subject: [PATCH 03/26] merge glow-tts after rebranding --- TTS/tts/datasets/TTSDataset.py | 28 ++++++++++++++++++++++++++-- TTS/tts/layers/losses.py | 21 ++++++++++++++++++++- TTS/tts/utils/generic_utils.py | 32 ++++++++++++++++++++++++++++++++ setup.py | 2 ++ 4 files changed, 80 insertions(+), 3 deletions(-) diff --git a/TTS/tts/datasets/TTSDataset.py b/TTS/tts/datasets/TTSDataset.py index 9c50cb6a..a92b880f 100644 --- a/TTS/tts/datasets/TTSDataset.py +++ b/TTS/tts/datasets/TTSDataset.py @@ -113,7 +113,14 @@ class MyDataset(Dataset): return phonemes def load_data(self, idx): - text, wav_file, speaker_name = self.items[idx] + item = self.items[idx] + + if len(item) == 4: + text, wav_file, speaker_name, attn_file = item + else: + text, wav_file, speaker_name = item + attn = None + wav = np.asarray(self.load_wav(wav_file), dtype=np.float32) if self.use_phonemes: @@ -125,9 +132,13 @@ class MyDataset(Dataset): assert text.size > 0, self.items[idx][1] assert wav.size > 0, self.items[idx][1] + if "attn_file" in locals(): + attn = np.load(attn_file) + sample = { 'text': text, 'wav': wav, + 'attn': attn, 'item_idx': self.items[idx][1], 'speaker_name': speaker_name, 'wav_file_name': os.path.basename(wav_file) @@ -245,8 +256,21 @@ class MyDataset(Dataset): linear = torch.FloatTensor(linear).contiguous() else: linear = None + + # collate attention alignments + if batch[0]['attn'] is not None: + attns = [batch[idx]['attn'].T for idx in ids_sorted_decreasing] + for idx, attn in enumerate(attns): + pad2 = mel.shape[1] - attn.shape[1] + pad1 = text.shape[1] - attn.shape[0] + attn = np.pad(attn, [[0, pad1], [0, pad2]]) + attns[idx] = attn + attns = prepare_tensor(attns, self.outputs_per_step) + attns = torch.FloatTensor(attns).unsqueeze(1) + else: + attns = None return text, text_lenghts, speaker_name, linear, mel, mel_lengths, \ - stop_targets, item_idxs, speaker_embedding + stop_targets, item_idxs, speaker_embedding, attns raise TypeError(("batch must contain tensors, numbers, dicts or lists;\ found {}".format(type(batch[0])))) diff --git a/TTS/tts/layers/losses.py b/TTS/tts/layers/losses.py index 008a9dd6..074da0d7 100644 --- a/TTS/tts/layers/losses.py +++ b/TTS/tts/layers/losses.py @@ -1,3 +1,4 @@ +import math import numpy as np import torch from torch import nn @@ -150,7 +151,7 @@ class GuidedAttentionLoss(torch.nn.Module): @staticmethod def _make_ga_mask(ilen, olen, sigma): - grid_x, grid_y = torch.meshgrid(torch.arange(olen, device=olen.device), torch.arange(ilen, device=ilen.device)) + grid_x, grid_y = torch.meshgrid(torch.arange(olen), torch.arange(ilen)) grid_x, grid_y = grid_x.float(), grid_y.float() return 1.0 - torch.exp(-(grid_y / ilen - grid_x / olen) ** 2 / (2 * (sigma ** 2))) @@ -243,3 +244,21 @@ class TacotronLoss(torch.nn.Module): return_dict['loss'] = loss return return_dict + + +class GlowTTSLoss(torch.nn.Module): + def __init__(self): + super(GlowTTSLoss, self).__init__() + self.constant_factor = 0.5 * math.log(2 * math.pi) + + def forward(self, z, means, scales, log_det, y_lengths, o_dur_log, o_attn_dur, x_lengths): + return_dict = {} + # flow loss + pz = torch.sum(scales) + 0.5 * torch.sum(torch.exp(-2 * scales) * (z - means)**2) + log_mle = self.constant_factor + (pz - torch.sum(log_det)) / (torch.sum(y_lengths // 2) * 2 * 80) + # duration loss + loss_dur = torch.sum((o_dur_log - o_attn_dur)**2) / torch.sum(x_lengths) + return_dict['loss'] = log_mle + loss_dur + return_dict['log_mle'] = log_mle + return_dict['loss_dur'] = loss_dur + return return_dict \ No newline at end of file diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 6eaa2358..393da12c 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -1,3 +1,4 @@ +import re import torch import importlib import numpy as np @@ -44,6 +45,11 @@ def sequence_mask(sequence_length, max_len=None): return seq_range_expand < seq_length_expand +def to_camel(text): + text = text.capitalize() + return re.sub(r'(?!^)_([a-zA-Z])', lambda m: m.group(1).upper(), text) + + def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): print(" > Using model: {}".format(c.model)) MyModel = importlib.import_module('TTS.tts.models.' + c.model.lower()) @@ -99,6 +105,32 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): double_decoder_consistency=c.double_decoder_consistency, ddc_r=c.ddc_r, speaker_embedding_dim=speaker_embedding_dim) + elif c.model.lower() == "glow_tts": + model = MyModel(num_chars=num_chars, + hidden_channels=192, + filter_channels=768, + filter_channels_dp=256, + out_channels=80, + kernel_size=3, + num_heads=2, + num_layers_enc=6, + dropout_p=0.1, + num_flow_blocks_dec=12, + kernel_size_dec=5, + dilation_rate=1, + num_block_layers=4, + dropout_p_dec=0.05, + num_speakers=num_speakers, + c_in_channels=0, + num_splits=4, + num_sqz=2, + sigmoid_scale=False, + rel_attn_window_size=4, + input_length=None, + mean_only=True, + hidden_channels_enc=192, + hidden_channels_dec=192, + use_encoder_prenet=True) return model diff --git a/setup.py b/setup.py index 18b0c742..3126cf6d 100644 --- a/setup.py +++ b/setup.py @@ -5,6 +5,7 @@ import os import shutil import subprocess import sys +import numpy from setuptools import setup, find_packages import setuptools.command.develop @@ -118,6 +119,7 @@ setup( 'tts-server = TTS.server.server:main' ] }, + include_dirs=[numpy.get_include()], ext_modules=cythonize(find_pyx(), language_level=3), packages=find_packages(include=['TTS*']), project_urls={ From d5c6d608848fab1643605a635cac28ab0cd930d7 Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 4 Aug 2020 22:22:35 +0200 Subject: [PATCH 04/26] synthesis update for glow tts --- TTS/tts/utils/synthesis.py | 26 +++++++++++++++++--------- 1 file changed, 17 insertions(+), 9 deletions(-) diff --git a/TTS/tts/utils/synthesis.py b/TTS/tts/utils/synthesis.py index 76ac7909..85eeec66 100644 --- a/TTS/tts/utils/synthesis.py +++ b/TTS/tts/utils/synthesis.py @@ -46,16 +46,24 @@ def compute_style_mel(style_wav, ap, cuda=False): def run_model_torch(model, inputs, CONFIG, truncated, speaker_id=None, style_mel=None, speaker_embeddings=None): - if CONFIG.use_gst: - decoder_output, postnet_output, alignments, stop_tokens = model.inference( - inputs, style_mel=style_mel, speaker_ids=speaker_id, speaker_embeddings=speaker_embeddings) - else: - if truncated: - decoder_output, postnet_output, alignments, stop_tokens = model.inference_truncated( - inputs, speaker_ids=speaker_id, speaker_embeddings=speaker_embeddings) - else: + if 'tacotron' in CONFIG.model.lower(): + if CONFIG.use_gst: decoder_output, postnet_output, alignments, stop_tokens = model.inference( - inputs, speaker_ids=speaker_id, speaker_embeddings=speaker_embeddings) + inputs, style_mel=style_mel, speaker_ids=speaker_id, speaker_embeddings=speaker_embeddings) + else: + if truncated: + decoder_output, postnet_output, alignments, stop_tokens = model.inference_truncated( + inputs, speaker_ids=speaker_id, speaker_embeddings=speaker_embeddings) + else: + decoder_output, postnet_output, alignments, stop_tokens = model.inference( + inputs, speaker_ids=speaker_id, speaker_embeddings=speaker_embeddings) + elif 'glow' in CONFIG.model.lower(): + inputs_lengths = torch.tensor(inputs.shape[1:2]).to(inputs.device) + postnet_output, _, _, _, alignments, _, _ = model.inference(inputs, inputs_lengths) + postnet_output = postnet_output.permute(0, 2, 1) + # these only belong to tacotron models. + decoder_output = None + stop_tokens = None return decoder_output, postnet_output, alignments, stop_tokens From 673ba74a802a00170ec057fbdd260863601fcf95 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 5 Aug 2020 12:59:40 +0200 Subject: [PATCH 05/26] glow tts training and inference fixes --- TTS/tts/utils/io.py | 2 +- TTS/tts/utils/synthesis.py | 4 +-- TTS/tts/utils/visual.py | 62 +++++++++++++++++++++++++++++--------- 3 files changed, 51 insertions(+), 17 deletions(-) diff --git a/TTS/tts/utils/io.py b/TTS/tts/utils/io.py index bf5e13d8..0749bd14 100644 --- a/TTS/tts/utils/io.py +++ b/TTS/tts/utils/io.py @@ -18,7 +18,7 @@ def load_checkpoint(model, checkpoint_path, amp=None, use_cuda=False): if use_cuda: model.cuda() # set model stepsize - if 'r' in state.keys(): + if hasattr(model.decoder, 'r'): model.decoder.set_r(state['r']) return model, state diff --git a/TTS/tts/utils/synthesis.py b/TTS/tts/utils/synthesis.py index 85eeec66..48083a2a 100644 --- a/TTS/tts/utils/synthesis.py +++ b/TTS/tts/utils/synthesis.py @@ -107,9 +107,9 @@ def run_model_tflite(model, inputs, CONFIG, truncated, speaker_id=None, style_me def parse_outputs_torch(postnet_output, decoder_output, alignments, stop_tokens): postnet_output = postnet_output[0].data.cpu().numpy() - decoder_output = decoder_output[0].data.cpu().numpy() + decoder_output = None if decoder_output is None else decoder_output[0].data.cpu().numpy() alignment = alignments[0].cpu().data.numpy() - stop_tokens = stop_tokens[0].cpu().numpy() + stop_tokens = None if stop_tokens is None else stop_tokens[0].cpu().numpy() return postnet_output, decoder_output, alignment, stop_tokens diff --git a/TTS/tts/utils/visual.py b/TTS/tts/utils/visual.py index 500d7707..033a5191 100644 --- a/TTS/tts/utils/visual.py +++ b/TTS/tts/utils/visual.py @@ -6,14 +6,20 @@ import matplotlib.pyplot as plt from TTS.tts.utils.text import phoneme_to_sequence, sequence_to_phoneme -def plot_alignment(alignment, info=None, fig_size=(16, 10), title=None, output_fig=False): +def plot_alignment(alignment, + info=None, + fig_size=(16, 10), + title=None, + output_fig=False): if isinstance(alignment, torch.Tensor): alignment_ = alignment.detach().cpu().numpy().squeeze() else: alignment_ = alignment fig, ax = plt.subplots(figsize=fig_size) - im = ax.imshow( - alignment_.T, aspect='auto', origin='lower', interpolation='none') + im = ax.imshow(alignment_.T, + aspect='auto', + origin='lower', + interpolation='none') fig.colorbar(im, ax=ax) xlabel = 'Decoder timestep' if info is not None: @@ -29,7 +35,10 @@ def plot_alignment(alignment, info=None, fig_size=(16, 10), title=None, output_f return fig -def plot_spectrogram(spectrogram, ap=None, fig_size=(16, 10), output_fig=False): +def plot_spectrogram(spectrogram, + ap=None, + fig_size=(16, 10), + output_fig=False): if isinstance(spectrogram, torch.Tensor): spectrogram_ = spectrogram.detach().cpu().numpy().squeeze().T else: @@ -45,7 +54,17 @@ def plot_spectrogram(spectrogram, ap=None, fig_size=(16, 10), output_fig=False): return fig -def visualize(alignment, postnet_output, stop_tokens, text, hop_length, CONFIG, decoder_output=None, output_path=None, figsize=(8, 24), output_fig=False): +def visualize(alignment, + postnet_output, + text, + hop_length, + CONFIG, + stop_tokens=None, + decoder_output=None, + output_path=None, + figsize=(8, 24), + output_fig=False): + if decoder_output is not None: num_plot = 4 else: @@ -60,18 +79,30 @@ def visualize(alignment, postnet_output, stop_tokens, text, hop_length, CONFIG, plt.ylabel("Encoder timestamp", fontsize=label_fontsize) # compute phoneme representation and back if CONFIG.use_phonemes: - seq = phoneme_to_sequence(text, [CONFIG.text_cleaner], CONFIG.phoneme_language, CONFIG.enable_eos_bos_chars, tp=CONFIG.characters if 'characters' in CONFIG.keys() else None) - text = sequence_to_phoneme(seq, tp=CONFIG.characters if 'characters' in CONFIG.keys() else None) + seq = phoneme_to_sequence( + text, [CONFIG.text_cleaner], + CONFIG.phoneme_language, + CONFIG.enable_eos_bos_chars, + tp=CONFIG.characters if 'characters' in CONFIG.keys() else None) + text = sequence_to_phoneme( + seq, + tp=CONFIG.characters if 'characters' in CONFIG.keys() else None) print(text) plt.yticks(range(len(text)), list(text)) plt.colorbar() - # plot stopnet predictions - plt.subplot(num_plot, 1, 2) - plt.plot(range(len(stop_tokens)), list(stop_tokens)) + + if stop_tokens is not None: + # plot stopnet predictions + plt.subplot(num_plot, 1, 2) + plt.plot(range(len(stop_tokens)), list(stop_tokens)) + # plot postnet spectrogram plt.subplot(num_plot, 1, 3) - librosa.display.specshow(postnet_output.T, sr=CONFIG.audio['sample_rate'], - hop_length=hop_length, x_axis="time", y_axis="linear", + librosa.display.specshow(postnet_output.T, + sr=CONFIG.audio['sample_rate'], + hop_length=hop_length, + x_axis="time", + y_axis="linear", fmin=CONFIG.audio['mel_fmin'], fmax=CONFIG.audio['mel_fmax']) @@ -82,8 +113,11 @@ def visualize(alignment, postnet_output, stop_tokens, text, hop_length, CONFIG, if decoder_output is not None: plt.subplot(num_plot, 1, 4) - librosa.display.specshow(decoder_output.T, sr=CONFIG.audio['sample_rate'], - hop_length=hop_length, x_axis="time", y_axis="linear", + librosa.display.specshow(decoder_output.T, + sr=CONFIG.audio['sample_rate'], + hop_length=hop_length, + x_axis="time", + y_axis="linear", fmin=CONFIG.audio['mel_fmin'], fmax=CONFIG.audio['mel_fmax']) plt.xlabel("Time", fontsize=label_fontsize) From 1dea2c903419f8c2a82521a3913089e7c65c3e9f Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 6 Aug 2020 12:33:49 +0200 Subject: [PATCH 06/26] faster sequence masking --- TTS/tts/utils/generic_utils.py | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 393da12c..6d7ceb75 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -34,15 +34,11 @@ def split_dataset(items): def sequence_mask(sequence_length, max_len=None): if max_len is None: max_len = sequence_length.data.max() - batch_size = sequence_length.size(0) - seq_range = torch.arange(0, max_len).long() - seq_range_expand = seq_range.unsqueeze(0).expand(batch_size, max_len) - if sequence_length.is_cuda: - seq_range_expand = seq_range_expand.to(sequence_length.device) - seq_length_expand = ( - sequence_length.unsqueeze(1).expand_as(seq_range_expand)) + seq_range = torch.arange(max_len, + dtype=sequence_length.dtype, + device=sequence_length.device) # B x T_max - return seq_range_expand < seq_length_expand + return seq_range.unsqueeze(0) < sequence_length.unsqueeze(1) def to_camel(text): From 43771a3a5c24bceb83e74ccf70a38c19eb739bae Mon Sep 17 00:00:00 2001 From: erogol Date: Sun, 9 Aug 2020 12:43:05 +0200 Subject: [PATCH 07/26] remove redundant arguments --- TTS/tts/utils/generic_utils.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 6d7ceb75..2600e369 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -121,8 +121,6 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): num_splits=4, num_sqz=2, sigmoid_scale=False, - rel_attn_window_size=4, - input_length=None, mean_only=True, hidden_channels_enc=192, hidden_channels_dec=192, From 383c5f71854c5695f1ea6fc956f6dc4e03a6affa Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 10 Aug 2020 12:57:15 +0200 Subject: [PATCH 08/26] add glow-tts model and layers --- mozilla_voice_tts/bin/train_glow_tts.py | 651 + .../tts/layers/glow_tts/__init__.py | 0 .../tts/layers/glow_tts/attention.py | 202 + .../tts/layers/glow_tts/commons.py | 63 + .../tts/layers/glow_tts/decoder.py | 110 + .../tts/layers/glow_tts/duration_predictor.py | 42 + .../tts/layers/glow_tts/encoder.py | 138 + mozilla_voice_tts/tts/layers/glow_tts/glow.py | 358 + .../tts/layers/glow_tts/glow_v2.py | 125 + .../glow_tts/monotonic_align/__init__.py | 49 + .../layers/glow_tts/monotonic_align/core.c | 24668 ++++++++++++++++ .../layers/glow_tts/monotonic_align/core.pyx | 45 + .../layers/glow_tts/monotonic_align/setup.py | 9 + .../tts/layers/glow_tts/transformer.py | 100 + mozilla_voice_tts/tts/models/glow_tts.py | 178 + 15 files changed, 26738 insertions(+) create mode 100644 mozilla_voice_tts/bin/train_glow_tts.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/__init__.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/attention.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/commons.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/decoder.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/duration_predictor.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/encoder.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/glow.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/glow_v2.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/__init__.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.c create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.pyx create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/setup.py create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/transformer.py create mode 100644 mozilla_voice_tts/tts/models/glow_tts.py diff --git a/mozilla_voice_tts/bin/train_glow_tts.py b/mozilla_voice_tts/bin/train_glow_tts.py new file mode 100644 index 00000000..c329e4f9 --- /dev/null +++ b/mozilla_voice_tts/bin/train_glow_tts.py @@ -0,0 +1,651 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +import argparse +import glob +import os +import sys +import time +import traceback + +import numpy as np +import torch +from torch.utils.data import DataLoader +from torch.nn.parallel import DistributedDataParallel as DDP + +from mozilla_voice_tts.tts.datasets.preprocess import load_meta_data +from mozilla_voice_tts.tts.datasets.TTSDataset import MyDataset +from mozilla_voice_tts.tts.layers.losses import GlowTTSLoss +from mozilla_voice_tts.utils.console_logger import ConsoleLogger +from mozilla_voice_tts.tts.utils.distribute import (DistributedSampler, + init_distributed, reduce_tensor) +from mozilla_voice_tts.tts.utils.generic_utils import check_config, setup_model +from mozilla_voice_tts.tts.utils.io import save_best_model, save_checkpoint +from mozilla_voice_tts.tts.utils.measures import alignment_diagonal_score +from mozilla_voice_tts.tts.utils.speakers import (get_speakers, load_speaker_mapping, + save_speaker_mapping) +from mozilla_voice_tts.tts.utils.synthesis import synthesis +from mozilla_voice_tts.tts.utils.text.symbols import make_symbols, phonemes, symbols +from mozilla_voice_tts.tts.utils.visual import plot_alignment, plot_spectrogram +from mozilla_voice_tts.utils.audio import AudioProcessor +from mozilla_voice_tts.utils.generic_utils import (KeepAverage, count_parameters, + create_experiment_folder, get_git_branch, + remove_experiment_folder, set_init_dict) +from mozilla_voice_tts.utils.io import copy_config_file, load_config +from mozilla_voice_tts.utils.radam import RAdam +from mozilla_voice_tts.utils.tensorboard_logger import TensorboardLogger +from mozilla_voice_tts.utils.training import (NoamLR, adam_weight_decay, check_update, + gradual_training_scheduler, set_weight_decay, + setup_torch_training_env) + +use_cuda, num_gpus = setup_torch_training_env(True, False) + + +def setup_loader(ap, r, is_val=False, verbose=False): + if is_val and not c.run_eval: + loader = None + else: + dataset = MyDataset( + r, + c.text_cleaner, + compute_linear_spec=True if c.model.lower() == 'tacotron' else False, + meta_data=meta_data_eval if is_val else meta_data_train, + ap=ap, + tp=c.characters if 'characters' in c.keys() else None, + batch_group_size=0 if is_val else c.batch_group_size * + c.batch_size, + min_seq_len=c.min_seq_len, + max_seq_len=c.max_seq_len, + phoneme_cache_path=c.phoneme_cache_path, + use_phonemes=c.use_phonemes, + phoneme_language=c.phoneme_language, + enable_eos_bos=c.enable_eos_bos_chars, + verbose=verbose) + sampler = DistributedSampler(dataset) if num_gpus > 1 else None + loader = DataLoader( + dataset, + batch_size=c.eval_batch_size if is_val else c.batch_size, + shuffle=False, + collate_fn=dataset.collate_fn, + drop_last=False, + sampler=sampler, + num_workers=c.num_val_loader_workers + if is_val else c.num_loader_workers, + pin_memory=False) + return loader + + +def format_data(data): + if c.use_speaker_embedding: + speaker_mapping = load_speaker_mapping(OUT_PATH) + + # setup input data + text_input = data[0] + text_lengths = data[1] + speaker_names = data[2] + mel_input = data[4].permute(0, 2, 1) # B x D x T + mel_lengths = data[5] + attn_mask = data[8] + avg_text_length = torch.mean(text_lengths.float()) + avg_spec_length = torch.mean(mel_lengths.float()) + + if c.use_speaker_embedding: + speaker_ids = [ + speaker_mapping[speaker_name] for speaker_name in speaker_names + ] + speaker_ids = torch.LongTensor(speaker_ids) + else: + speaker_ids = None + + # dispatch data to GPU + if use_cuda: + text_input = text_input.cuda(non_blocking=True) + text_lengths = text_lengths.cuda(non_blocking=True) + mel_input = mel_input.cuda(non_blocking=True) + mel_lengths = mel_lengths.cuda(non_blocking=True) + if speaker_ids is not None: + speaker_ids = speaker_ids.cuda(non_blocking=True) + if attn_mask is not None: + attn_mask = attn_mask.cuda(non_blocking=True) + return text_input, text_lengths, mel_input, mel_lengths, speaker_ids,\ + avg_text_length, avg_spec_length, attn_mask + + +def data_depended_init(model, ap): + """Data depended initialization for normalization layers.""" + if hasattr(model, 'module'): + for f in model.module.decoder.flows: + if getattr(f, "set_ddi", False): + f.set_ddi(True) + else: + for f in model.decoder.flows: + if getattr(f, "set_ddi", False): + f.set_ddi(True) + + data_loader = setup_loader(ap, 1, is_val=False) + model.train() + print(" > Data depended initialization ... ") + with torch.no_grad(): + for num_iter, data in enumerate(data_loader): + + # format data + text_input, text_lengths, mel_input, mel_lengths, speaker_ids,\ + avg_text_length, avg_spec_length, attn_mask = format_data(data) + + # forward pass model + _ = model.forward( + text_input, text_lengths, mel_input, mel_lengths, attn_mask) + break + + if hasattr(model, 'module'): + for f in model.module.decoder.flows: + if getattr(f, "set_ddi", False): + f.set_ddi(False) + else: + for f in model.decoder.flows: + if getattr(f, "set_ddi", False): + f.set_ddi(False) + return model + + +def train(model, criterion, optimizer, scheduler, + ap, global_step, epoch, amp): + data_loader = setup_loader(ap, 1, is_val=False, + verbose=(epoch == 0)) + model.train() + epoch_time = 0 + keep_avg = KeepAverage() + if use_cuda: + batch_n_iter = int( + len(data_loader.dataset) / (c.batch_size * num_gpus)) + else: + batch_n_iter = int(len(data_loader.dataset) / c.batch_size) + end_time = time.time() + c_logger.print_train_start() + for num_iter, data in enumerate(data_loader): + start_time = time.time() + + # format data + text_input, text_lengths, mel_input, mel_lengths, speaker_ids,\ + avg_text_length, avg_spec_length, attn_mask = format_data(data) + + loader_time = time.time() - end_time + + global_step += 1 + + # setup lr + if c.noam_schedule: + scheduler.step() + optimizer.zero_grad() + + # forward pass model + z, logdet, y_mean, y_log_scale, alignments, o_dur_log, o_total_dur = model.forward( + text_input, text_lengths, mel_input, mel_lengths, attn_mask) + + # compute loss + loss_dict = criterion(z, y_mean, y_log_scale, logdet, mel_lengths, + o_dur_log, o_total_dur, text_lengths) + + # backward pass + if amp is not None: + with amp.scale_loss( loss_dict['loss'], optimizer) as scaled_loss: + scaled_loss.backward() + else: + loss_dict['loss'].backward() + + if amp: + amp_opt_params = amp.master_params(optimizer) + else: + amp_opt_params = None + grad_norm, _ = check_update(model, c.grad_clip, ignore_stopnet=True, amp_opt_params=amp_opt_params) + optimizer.step() + + # current_lr + current_lr = optimizer.param_groups[0]['lr'] + + # compute alignment error (the lower the better ) + align_error = 1 - alignment_diagonal_score(alignments) + loss_dict['align_error'] = align_error + + step_time = time.time() - start_time + epoch_time += step_time + + # aggregate losses from processes + if num_gpus > 1: + loss_dict['log_mle'] = reduce_tensor(loss_dict['log_mle'].data, num_gpus) + loss_dict['loss_dur'] = reduce_tensor(loss_dict['loss_dur'].data, num_gpus) + loss_dict['loss'] = reduce_tensor(loss_dict['loss'] .data, num_gpus) + + # detach loss values + loss_dict_new = dict() + for key, value in loss_dict.items(): + if isinstance(value, (int, float)): + loss_dict_new[key] = value + else: + loss_dict_new[key] = value.item() + loss_dict = loss_dict_new + + # update avg stats + update_train_values = dict() + for key, value in loss_dict.items(): + update_train_values['avg_' + key] = value + update_train_values['avg_loader_time'] = loader_time + update_train_values['avg_step_time'] = step_time + keep_avg.update_values(update_train_values) + + # print training progress + if global_step % c.print_step == 0: + log_dict = { + "avg_spec_length": [avg_spec_length, 1], # value, precision + "avg_text_length": [avg_text_length, 1], + "step_time": [step_time, 4], + "loader_time": [loader_time, 2], + "current_lr": current_lr, + } + c_logger.print_train_step(batch_n_iter, num_iter, global_step, + log_dict, loss_dict, keep_avg.avg_values) + + if args.rank == 0: + # Plot Training Iter Stats + # reduce TB load + if global_step % c.tb_plot_step == 0: + iter_stats = { + "lr": current_lr, + "grad_norm": grad_norm, + "step_time": step_time + } + iter_stats.update(loss_dict) + tb_logger.tb_train_iter_stats(global_step, iter_stats) + + if global_step % c.save_step == 0: + if c.checkpoint: + # save model + save_checkpoint(model, optimizer, global_step, epoch, 1, OUT_PATH, + model_loss=loss_dict['loss'], + amp_state_dict=amp.state_dict() if amp else None) + + # Diagnostic visualizations + # direct pass on model for spec predictions + spec_pred, *_ = model.inference(text_input[:1], text_lengths[:1]) + spec_pred = spec_pred.permute(0, 2, 1) + gt_spec = mel_input.permute(0, 2, 1) + const_spec = spec_pred[0].data.cpu().numpy() + gt_spec = gt_spec[0].data.cpu().numpy() + align_img = alignments[0].data.cpu().numpy() + + figures = { + "prediction": plot_spectrogram(const_spec, ap), + "ground_truth": plot_spectrogram(gt_spec, ap), + "alignment": plot_alignment(align_img), + } + + tb_logger.tb_train_figures(global_step, figures) + + # Sample audio + train_audio = ap.inv_melspectrogram(const_spec.T) + tb_logger.tb_train_audios(global_step, + {'TrainAudio': train_audio}, + c.audio["sample_rate"]) + end_time = time.time() + + # print epoch stats + c_logger.print_train_epoch_end(global_step, epoch, epoch_time, keep_avg) + + # Plot Epoch Stats + if args.rank == 0: + epoch_stats = {"epoch_time": epoch_time} + epoch_stats.update(keep_avg.avg_values) + tb_logger.tb_train_epoch_stats(global_step, epoch_stats) + if c.tb_model_param_stats: + tb_logger.tb_model_weights(model, global_step) + return keep_avg.avg_values, global_step + + +@torch.no_grad() +def evaluate(model, criterion, ap, global_step, epoch): + data_loader = setup_loader(ap, 1, is_val=True) + model.eval() + epoch_time = 0 + keep_avg = KeepAverage() + c_logger.print_eval_start() + if data_loader is not None: + for num_iter, data in enumerate(data_loader): + start_time = time.time() + + # format data + text_input, text_lengths, mel_input, mel_lengths, speaker_ids,\ + avg_text_length, avg_spec_length, attn_mask = format_data(data) + + # forward pass model + z, logdet, y_mean, y_log_scale, alignments, o_dur_log, o_total_dur = model.forward( + text_input, text_lengths, mel_input, mel_lengths, attn_mask) + + # compute loss + loss_dict = criterion(z, y_mean, y_log_scale, logdet, mel_lengths, + o_dur_log, o_total_dur, text_lengths) + + # step time + step_time = time.time() - start_time + epoch_time += step_time + + # compute alignment score + align_error = 1 - alignment_diagonal_score(alignments) + loss_dict['align_error'] = align_error + + # aggregate losses from processes + if num_gpus > 1: + loss_dict['log_mle'] = reduce_tensor(loss_dict['log_mle'].data, num_gpus) + loss_dict['loss_dur'] = reduce_tensor(loss_dict['loss_dur'].data, num_gpus) + loss_dict['loss'] = reduce_tensor(loss_dict['loss'] .data, num_gpus) + + # detach loss values + loss_dict_new = dict() + for key, value in loss_dict.items(): + if isinstance(value, (int, float)): + loss_dict_new[key] = value + else: + loss_dict_new[key] = value.item() + loss_dict = loss_dict_new + + # update avg stats + update_train_values = dict() + for key, value in loss_dict.items(): + update_train_values['avg_' + key] = value + keep_avg.update_values(update_train_values) + + if c.print_eval: + c_logger.print_eval_step(num_iter, loss_dict, keep_avg.avg_values) + + if args.rank == 0: + # Diagnostic visualizations + # direct pass on model for spec predictions + if hasattr(model, 'module'): + spec_pred, *_ = model.module.inference(text_input[:1], text_lengths[:1]) + else: + spec_pred, *_ = model.inference(text_input[:1], text_lengths[:1]) + spec_pred = spec_pred.permute(0, 2, 1) + gt_spec = mel_input.permute(0, 2, 1) + + const_spec = spec_pred[0].data.cpu().numpy() + gt_spec = gt_spec[0].data.cpu().numpy() + align_img = alignments[0].data.cpu().numpy() + + eval_figures = { + "prediction": plot_spectrogram(const_spec, ap), + "ground_truth": plot_spectrogram(gt_spec, ap), + "alignment": plot_alignment(align_img) + } + + # Sample audio + eval_audio = ap.inv_melspectrogram(const_spec.T) + tb_logger.tb_eval_audios(global_step, {"ValAudio": eval_audio}, + c.audio["sample_rate"]) + + # Plot Validation Stats + tb_logger.tb_eval_stats(global_step, keep_avg.avg_values) + tb_logger.tb_eval_figures(global_step, eval_figures) + + if args.rank == 0 and epoch > c.test_delay_epochs: + if c.test_sentences_file is None: + test_sentences = [ + "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", + "Be a voice, not an echo.", + "I'm sorry Dave. I'm afraid I can't do that.", + "This cake is great. It's so delicious and moist.", + "Prior to November 22, 1963." + ] + else: + with open(c.test_sentences_file, "r") as f: + test_sentences = [s.strip() for s in f.readlines()] + + # test sentences + test_audios = {} + test_figures = {} + print(" | > Synthesizing test sentences") + speaker_id = 0 if c.use_speaker_embedding else None + style_wav = c.get("style_wav_for_test") + for idx, test_sentence in enumerate(test_sentences): + try: + wav, alignment, decoder_output, postnet_output, stop_tokens, inputs = synthesis( + model, + test_sentence, + c, + use_cuda, + ap, + speaker_id=speaker_id, + style_wav=style_wav, + truncated=False, + enable_eos_bos_chars=c.enable_eos_bos_chars, #pylint: disable=unused-argument + use_griffin_lim=True, + do_trim_silence=False) + + file_path = os.path.join(AUDIO_PATH, str(global_step)) + os.makedirs(file_path, exist_ok=True) + file_path = os.path.join(file_path, + "TestSentence_{}.wav".format(idx)) + ap.save_wav(wav, file_path) + test_audios['{}-audio'.format(idx)] = wav + test_figures['{}-prediction'.format(idx)] = plot_spectrogram( + postnet_output, ap) + test_figures['{}-alignment'.format(idx)] = plot_alignment( + alignment) + except: + print(" !! Error creating Test Sentence -", idx) + traceback.print_exc() + tb_logger.tb_test_audios(global_step, test_audios, + c.audio['sample_rate']) + tb_logger.tb_test_figures(global_step, test_figures) + return keep_avg.avg_values + + +# FIXME: move args definition/parsing inside of main? +def main(args): # pylint: disable=redefined-outer-name + # pylint: disable=global-variable-undefined + global meta_data_train, meta_data_eval, symbols, phonemes + # Audio processor + ap = AudioProcessor(**c.audio) + if 'characters' in c.keys(): + symbols, phonemes = make_symbols(**c.characters) + + # DISTRUBUTED + if num_gpus > 1: + init_distributed(args.rank, num_gpus, args.group_id, + c.distributed["backend"], c.distributed["url"]) + num_chars = len(phonemes) if c.use_phonemes else len(symbols) + + # load data instances + meta_data_train, meta_data_eval = load_meta_data(c.datasets) + + # set the portion of the data used for training + if 'train_portion' in c.keys(): + meta_data_train = meta_data_train[:int(len(meta_data_train) * c.train_portion)] + if 'eval_portion' in c.keys(): + meta_data_eval = meta_data_eval[:int(len(meta_data_eval) * c.eval_portion)] + + # parse speakers + if c.use_speaker_embedding: + speakers = get_speakers(meta_data_train) + if args.restore_path: + prev_out_path = os.path.dirname(args.restore_path) + speaker_mapping = load_speaker_mapping(prev_out_path) + assert all([speaker in speaker_mapping + for speaker in speakers]), "As of now you, you cannot " \ + "introduce new speakers to " \ + "a previously trained model." + else: + speaker_mapping = {name: i for i, name in enumerate(speakers)} + save_speaker_mapping(OUT_PATH, speaker_mapping) + num_speakers = len(speaker_mapping) + print("Training with {} speakers: {}".format(num_speakers, + ", ".join(speakers))) + else: + num_speakers = 0 + + # setup model + model = setup_model(num_chars, num_speakers, c) + optimizer = RAdam(model.parameters(), lr=c.lr, weight_decay=0, betas=(0.9, 0.98), eps=1e-9) + criterion = GlowTTSLoss() + + if c.apex_amp_level: + # pylint: disable=import-outside-toplevel + from apex import amp + from apex.parallel import DistributedDataParallel as DDP + model.cuda() + model, optimizer = amp.initialize(model, optimizer, opt_level=c.apex_amp_level) + else: + amp = None + + if args.restore_path: + checkpoint = torch.load(args.restore_path, map_location='cpu') + try: + # TODO: fix optimizer init, model.cuda() needs to be called before + # optimizer restore + optimizer.load_state_dict(checkpoint['optimizer']) + if c.reinit_layers: + raise RuntimeError + model.load_state_dict(checkpoint['model']) + except: + print(" > Partial model initialization.") + model_dict = model.state_dict() + model_dict = set_init_dict(model_dict, checkpoint['model'], c) + model.load_state_dict(model_dict) + del model_dict + + if amp and 'amp' in checkpoint: + amp.load_state_dict(checkpoint['amp']) + + for group in optimizer.param_groups: + group['initial_lr'] = c.lr + print(" > Model restored from step %d" % checkpoint['step'], + flush=True) + args.restore_step = checkpoint['step'] + else: + args.restore_step = 0 + + if use_cuda: + model.cuda() + criterion.cuda() + + # DISTRUBUTED + if num_gpus > 1: + model = DDP(model) + + if c.noam_schedule: + scheduler = NoamLR(optimizer, + warmup_steps=c.warmup_steps, + last_epoch=args.restore_step - 1) + else: + scheduler = None + + num_params = count_parameters(model) + print("\n > Model has {} parameters".format(num_params), flush=True) + + if 'best_loss' not in locals(): + best_loss = float('inf') + + global_step = args.restore_step + model = data_depended_init(model, ap) + for epoch in range(0, c.epochs): + c_logger.print_epoch_start(epoch, c.epochs) + # train_avg_loss_dict, global_step = train(model, criterion, optimizer, + # scheduler, ap, global_step, + # epoch, amp) + train_avg_loss_dict, global_step = 0, 0 + eval_avg_loss_dict = evaluate(model, criterion, ap, global_step, epoch) + c_logger.print_epoch_end(epoch, eval_avg_loss_dict) + target_loss = train_avg_loss_dict['avg_loss'] + if c.run_eval: + target_loss = eval_avg_loss_dict['avg_loss'] + best_loss = save_best_model(target_loss, best_loss, model, optimizer, global_step, epoch, c.r, + OUT_PATH, amp_state_dict=amp.state_dict() if amp else None) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser() + parser.add_argument( + '--continue_path', + type=str, + help='Training output folder to continue training. Use to continue a training. If it is used, "config_path" is ignored.', + default='', + required='--config_path' not in sys.argv) + parser.add_argument( + '--restore_path', + type=str, + help='Model file to be restored. Use to finetune a model.', + default='') + parser.add_argument( + '--config_path', + type=str, + help='Path to config file for training.', + required='--continue_path' not in sys.argv + ) + parser.add_argument('--debug', + type=bool, + default=False, + help='Do not verify commit integrity to run training.') + + # DISTRUBUTED + parser.add_argument( + '--rank', + type=int, + default=0, + help='DISTRIBUTED: process rank for distributed training.') + parser.add_argument('--group_id', + type=str, + default="", + help='DISTRIBUTED: process group id.') + args = parser.parse_args() + + if args.continue_path != '': + args.output_path = args.continue_path + args.config_path = os.path.join(args.continue_path, 'config.json') + list_of_files = glob.glob(args.continue_path + "/*.pth.tar") # * means all if need specific format then *.csv + latest_model_file = max(list_of_files, key=os.path.getctime) + args.restore_path = latest_model_file + print(f" > Training continues for {args.restore_path}") + + # setup output paths and read configs + c = load_config(args.config_path) + # check_config(c) + _ = os.path.dirname(os.path.realpath(__file__)) + + if c.apex_amp_level: + print(" > apex AMP level: ", c.apex_amp_level) + + OUT_PATH = args.continue_path + if args.continue_path == '': + OUT_PATH = create_experiment_folder(c.output_path, c.run_name, args.debug) + + AUDIO_PATH = os.path.join(OUT_PATH, 'test_audios') + + c_logger = ConsoleLogger() + + if args.rank == 0: + os.makedirs(AUDIO_PATH, exist_ok=True) + new_fields = {} + if args.restore_path: + new_fields["restore_path"] = args.restore_path + new_fields["github_branch"] = get_git_branch() + copy_config_file(args.config_path, + os.path.join(OUT_PATH, 'config.json'), new_fields) + os.chmod(AUDIO_PATH, 0o775) + os.chmod(OUT_PATH, 0o775) + + LOG_DIR = OUT_PATH + tb_logger = TensorboardLogger(LOG_DIR, model_name='TTS') + + # write model desc to tensorboard + tb_logger.tb_add_text('model-description', c['run_description'], 0) + + try: + main(args) + except KeyboardInterrupt: + remove_experiment_folder(OUT_PATH) + try: + sys.exit(0) + except SystemExit: + os._exit(0) # pylint: disable=protected-access + except Exception: # pylint: disable=broad-except + remove_experiment_folder(OUT_PATH) + traceback.print_exc() + sys.exit(1) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/__init__.py b/mozilla_voice_tts/tts/layers/glow_tts/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/mozilla_voice_tts/tts/layers/glow_tts/attention.py b/mozilla_voice_tts/tts/layers/glow_tts/attention.py new file mode 100644 index 00000000..f7e14ddc --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/attention.py @@ -0,0 +1,202 @@ +import copy +import math +import numpy as np +import torch +from torch import nn +from torch.nn import functional as F + + +def convert_pad_shape(pad_shape): + l = pad_shape[::-1] + pad_shape = [item for sublist in l for item in sublist] + return pad_shape + + +class MultiHeadAttention(nn.Module): + def __init__(self, + channels, + out_channels, + n_heads, + window_size=None, + heads_share=True, + dropout_p=0., + input_length=None, + proximal_bias=False, + proximal_init=False): + super().__init__() + assert channels % n_heads == 0 + + self.channels = channels + self.out_channels = out_channels + self.n_heads = n_heads + self.window_size = window_size + self.heads_share = heads_share + self.input_length = input_length + self.proximal_bias = proximal_bias + self.dropout_p = dropout_p + self.attn = None + + self.k_channels = channels // n_heads + self.conv_q = nn.Conv1d(channels, channels, 1) + self.conv_k = nn.Conv1d(channels, channels, 1) + self.conv_v = nn.Conv1d(channels, channels, 1) + if window_size is not None: + n_heads_rel = 1 if heads_share else n_heads + rel_stddev = self.k_channels**-0.5 + self.emb_rel_k = nn.Parameter( + torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) + * rel_stddev) + self.emb_rel_v = nn.Parameter( + torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) + * rel_stddev) + self.conv_o = nn.Conv1d(channels, out_channels, 1) + self.drop = nn.Dropout(dropout_p) + + nn.init.xavier_uniform_(self.conv_q.weight) + nn.init.xavier_uniform_(self.conv_k.weight) + if proximal_init: + self.conv_k.weight.data.copy_(self.conv_q.weight.data) + self.conv_k.bias.data.copy_(self.conv_q.bias.data) + nn.init.xavier_uniform_(self.conv_v.weight) + + def forward(self, x, c, attn_mask=None): + q = self.conv_q(x) + k = self.conv_k(c) + v = self.conv_v(c) + + x, self.attn = self.attention(q, k, v, mask=attn_mask) + + x = self.conv_o(x) + return x + + def attention(self, query, key, value, mask=None): + # reshape [b, d, t] -> [b, n_h, t, d_k] + b, d, t_s, t_t = (*key.size(), query.size(2)) + query = query.view(b, self.n_heads, self.k_channels, + t_t).transpose(2, 3) + key = key.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3) + value = value.view(b, self.n_heads, self.k_channels, + t_s).transpose(2, 3) + + scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt( + self.k_channels) + if self.window_size is not None: + assert t_s == t_t, "Relative attention is only available for self-attention." + key_relative_embeddings = self._get_relative_embeddings( + self.emb_rel_k, t_s) + rel_logits = self._matmul_with_relative_keys( + query, key_relative_embeddings) + rel_logits = self._relative_position_to_absolute_position( + rel_logits) + scores_local = rel_logits / math.sqrt(self.k_channels) + scores = scores + scores_local + if self.proximal_bias: + assert t_s == t_t, "Proximal bias is only available for self-attention." + scores = scores + self._attention_bias_proximal(t_s).to( + device=scores.device, dtype=scores.dtype) + if mask is not None: + scores = scores.masked_fill(mask == 0, -1e4) + if self.input_length is not None: + block_mask = torch.ones_like(scores).triu( + -self.input_length).tril(self.input_length) + scores = scores * block_mask + -1e4 * (1 - block_mask) + p_attn = F.softmax(scores, dim=-1) # [b, n_h, t_t, t_s] + p_attn = self.drop(p_attn) + output = torch.matmul(p_attn, value) + if self.window_size is not None: + relative_weights = self._absolute_position_to_relative_position( + p_attn) + value_relative_embeddings = self._get_relative_embeddings( + self.emb_rel_v, t_s) + output = output + self._matmul_with_relative_values( + relative_weights, value_relative_embeddings) + output = output.transpose(2, 3).contiguous().view( + b, d, t_t) # [b, n_h, t_t, d_k] -> [b, d, t_t] + return output, p_attn + + def _matmul_with_relative_values(self, x, y): + """ + x: [b, h, l, m] + y: [h or 1, m, d] + ret: [b, h, l, d] + """ + ret = torch.matmul(x, y.unsqueeze(0)) + return ret + + def _matmul_with_relative_keys(self, x, y): + """ + x: [b, h, l, d] + y: [h or 1, m, d] + ret: [b, h, l, m] + """ + ret = torch.matmul(x, y.unsqueeze(0).transpose(-2, -1)) + return ret + + def _get_relative_embeddings(self, relative_embeddings, length): + max_relative_position = 2 * self.window_size + 1 + # Pad first before slice to avoid using cond ops. + pad_length = max(length - (self.window_size + 1), 0) + slice_start_position = max((self.window_size + 1) - length, 0) + slice_end_position = slice_start_position + 2 * length - 1 + if pad_length > 0: + padded_relative_embeddings = F.pad( + relative_embeddings, + convert_pad_shape([[0, 0], [pad_length, pad_length], + [0, 0]])) + else: + padded_relative_embeddings = relative_embeddings + used_relative_embeddings = padded_relative_embeddings[:, + slice_start_position: + slice_end_position] + return used_relative_embeddings + + def _relative_position_to_absolute_position(self, x): + """ + x: [b, h, l, 2*l-1] + ret: [b, h, l, l] + """ + batch, heads, length, _ = x.size() + # Concat columns of pad to shift from relative to absolute indexing. + x = F.pad(x, convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, + 1]])) + + # Concat extra elements so to add up to shape (len+1, 2*len-1). + x_flat = x.view([batch, heads, length * 2 * length]) + x_flat = F.pad( + x_flat, convert_pad_shape([[0, 0], [0, 0], [0, + length - 1]])) + + # Reshape and slice out the padded elements. + x_final = x_flat.view([batch, heads, length + 1, + 2 * length - 1])[:, :, :length, length - 1:] + return x_final + + def _absolute_position_to_relative_position(self, x): + """ + x: [b, h, l, l] + ret: [b, h, l, 2*l-1] + """ + batch, heads, length, _ = x.size() + # padd along column + x = F.pad( + x, + convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, + length - 1]])) + x_flat = x.view([batch, heads, length**2 + length * (length - 1)]) + # add 0's in the beginning that will skew the elements after reshape + x_flat = F.pad( + x_flat, convert_pad_shape([[0, 0], [0, 0], [length, 0]])) + x_final = x_flat.view([batch, heads, length, 2 * length])[:, :, :, 1:] + return x_final + + def _attention_bias_proximal(self, length): + """Bias for self-attention to encourage attention to close positions. + Args: + length: an integer scalar. + Returns: + a Tensor with shape [1, 1, length, length] + """ + r = torch.arange(length, dtype=torch.float32) + diff = torch.unsqueeze(r, 0) - torch.unsqueeze(r, 1) + return torch.unsqueeze( + torch.unsqueeze(-torch.log1p(torch.abs(diff)), 0), 0) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/commons.py b/mozilla_voice_tts/tts/layers/glow_tts/commons.py new file mode 100644 index 00000000..5724a909 --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/commons.py @@ -0,0 +1,63 @@ +import math +import numpy as np +import torch +from torch import nn +from torch.nn import functional as F + + +def convert_pad_shape(pad_shape): + l = pad_shape[::-1] + pad_shape = [item for sublist in l for item in sublist] + return pad_shape + + +def shift_1d(x): + x = F.pad(x, convert_pad_shape([[0, 0], [0, 0], [1, 0]]))[:, :, :-1] + return x + + +def sequence_mask(length, max_length=None): + if max_length is None: + max_length = length.max() + x = torch.arange(max_length, dtype=length.dtype, device=length.device) + return x.unsqueeze(0) < length.unsqueeze(1) + + +def maximum_path(value, mask, max_neg_val=-np.inf): + """ Numpy-friendly version. It's about 4 times faster than torch version. + value: [b, t_x, t_y] + mask: [b, t_x, t_y] + """ + value = value * mask + + device = value.device + dtype = value.dtype + value = value.cpu().detach().numpy() + mask = mask.cpu().detach().numpy().astype(np.bool) + + b, t_x, t_y = value.shape + direction = np.zeros(value.shape, dtype=np.int64) + v = np.zeros((b, t_x), dtype=np.float32) + x_range = np.arange(t_x, dtype=np.float32).reshape(1, -1) + for j in range(t_y): + v0 = np.pad(v, [[0, 0], [1, 0]], + mode="constant", + constant_values=max_neg_val)[:, :-1] + v1 = v + max_mask = (v1 >= v0) + v_max = np.where(max_mask, v1, v0) + direction[:, :, j] = max_mask + + index_mask = (x_range <= j) + v = np.where(index_mask, v_max + value[:, :, j], max_neg_val) + direction = np.where(mask, direction, 1) + + path = np.zeros(value.shape, dtype=np.float32) + index = mask[:, :, 0].sum(1).astype(np.int64) - 1 + index_range = np.arange(b) + for j in reversed(range(t_y)): + path[index_range, index, j] = 1 + index = index + direction[index_range, index, j] - 1 + path = path * mask.astype(np.float32) + path = torch.from_numpy(path).to(device=device, dtype=dtype) + return path diff --git a/mozilla_voice_tts/tts/layers/glow_tts/decoder.py b/mozilla_voice_tts/tts/layers/glow_tts/decoder.py new file mode 100644 index 00000000..647459f0 --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/decoder.py @@ -0,0 +1,110 @@ +import torch +from torch import nn +from torch.nn import functional as F + +from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask +from mozilla_voice_tts.tts.layers.glow_tts.glow import InvConvNear, CouplingBlock, ActNorm + + +def squeeze(x, x_mask=None, num_sqz=2): + b, c, t = x.size() + + t = (t // num_sqz) * num_sqz + x = x[:, :, :t] + x_sqz = x.view(b, c, t // num_sqz, num_sqz) + x_sqz = x_sqz.permute(0, 3, 1, + 2).contiguous().view(b, c * num_sqz, t // num_sqz) + + if x_mask is not None: + x_mask = x_mask[:, :, num_sqz - 1::num_sqz] + else: + x_mask = torch.ones(b, 1, t // num_sqz).to(device=x.device, + dtype=x.dtype) + return x_sqz * x_mask, x_mask + + +def unsqueeze(x, x_mask=None, num_sqz=2): + b, c, t = x.size() + + x_unsqz = x.view(b, num_sqz, c // num_sqz, t) + x_unsqz = x_unsqz.permute(0, 2, 3, + 1).contiguous().view(b, c // num_sqz, + t * num_sqz) + + if x_mask is not None: + x_mask = x_mask.unsqueeze(-1).repeat(1, 1, 1, + num_sqz).view(b, 1, t * num_sqz) + else: + x_mask = torch.ones(b, 1, t * num_sqz).to(device=x.device, + dtype=x.dtype) + return x_unsqz * x_mask, x_mask + + +class Decoder(nn.Module): + """Stack of Glow Modules""" + def __init__(self, + in_channels, + hidden_channels, + kernel_size, + dilation_rate, + num_flow_blocks, + num_coupling_layers, + dropout_p=0., + num_splits=4, + num_sqz=2, + sigmoid_scale=False, + c_in_channels=0, + feat_channels=None): + super().__init__() + + self.in_channels = in_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.num_flow_blocks = num_flow_blocks + self.num_coupling_layers = num_coupling_layers + self.dropout_p = dropout_p + self.num_splits = num_splits + self.num_sqz = num_sqz + self.sigmoid_scale = sigmoid_scale + self.c_in_channels = c_in_channels + + self.flows = nn.ModuleList() + for _ in range(num_flow_blocks): + self.flows.append(ActNorm(channels=in_channels * num_sqz)) + self.flows.append( + InvConvNear(channels=in_channels * num_sqz, + num_splits=num_splits)) + self.flows.append( + CouplingBlock(in_channels * num_sqz, + hidden_channels, + kernel_size=kernel_size, + dilation_rate=dilation_rate, + num_layers=num_coupling_layers, + c_in_channels=c_in_channels, + dropout_p=dropout_p, + sigmoid_scale=sigmoid_scale)) + + def forward(self, x, x_mask, g=None, reverse=False): + if not reverse: + flows = self.flows + logdet_tot = 0 + else: + flows = reversed(self.flows) + logdet_tot = None + + if self.num_sqz > 1: + x, x_mask = squeeze(x, x_mask, self.num_sqz) + for f in flows: + if not reverse: + x, logdet = f(x, x_mask, g=g, reverse=reverse) + logdet_tot += logdet + else: + x, logdet = f(x, x_mask, g=g, reverse=reverse) + if self.num_sqz > 1: + x, x_mask = unsqueeze(x, x_mask, self.num_sqz) + return x, logdet_tot + + def store_inverse(self): + for f in self.flows: + f.store_inverse() diff --git a/mozilla_voice_tts/tts/layers/glow_tts/duration_predictor.py b/mozilla_voice_tts/tts/layers/glow_tts/duration_predictor.py new file mode 100644 index 00000000..4b17177e --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/duration_predictor.py @@ -0,0 +1,42 @@ +import copy +import math +import numpy as np +import scipy +import torch +from torch import nn +from torch.nn import functional as F + + +class DurationPredictor(nn.Module): + def __init__(self, in_channels, filter_channels, kernel_size, dropout_p): + super().__init__() + + self.in_channels = in_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.dropout_p = dropout_p + + self.drop = nn.Dropout(dropout_p) + self.conv_1 = nn.Conv1d(in_channels, + filter_channels, + kernel_size, + padding=kernel_size // 2) + self.norm_1 = nn.GroupNorm(1, filter_channels) + self.conv_2 = nn.Conv1d(filter_channels, + filter_channels, + kernel_size, + padding=kernel_size // 2) + self.norm_2 = nn.GroupNorm(1, filter_channels) + self.proj = nn.Conv1d(filter_channels, 1, 1) + + def forward(self, x, x_mask): + x = self.conv_1(x * x_mask) + x = torch.relu(x) + x = self.norm_1(x) + x = self.drop(x) + x = self.conv_2(x * x_mask) + x = torch.relu(x) + x = self.norm_2(x) + x = self.drop(x) + x = self.proj(x * x_mask) + return x * x_mask diff --git a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py new file mode 100644 index 00000000..1a1fe2ca --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py @@ -0,0 +1,138 @@ +import math +import torch +from torch import nn +from torch.nn import functional as F + +from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask +from mozilla_voice_tts.tts.layers.glow_tts.glow import ConvLayerNorm +from mozilla_voice_tts.tts.layers.glow_tts.duration_predictor import DurationPredictor + + +class PositionalEncoding(nn.Module): + def __init__(self, d_model, max_len=5000): + super(PositionalEncoding, self).__init__() + self.register_buffer('pe', self._get_pe_matrix(d_model, max_len)) + + def forward(self, x): + return x + self.pe[:x.size(0)].unsqueeze(1) + + def _get_pe_matrix(self, d_model, max_len): + pe = torch.zeros(max_len, d_model) + position = torch.arange(0, max_len, dtype=torch.float).unsqueeze(1) + div_term = torch.pow(10000, + torch.arange(0, d_model, 2).float() / d_model) + + pe[:, 0::2] = torch.sin(position / div_term) + pe[:, 1::2] = torch.cos(position / div_term) + + return pe + + +class Encoder(nn.Module): + """Glow-TTS encoder module. We use Pytorch TransformerEncoder instead + of the one with relative position embedding. We use positional encoding + for capturing positiong information. + + Args: + num_chars (int): number of characters. + out_channels (int): number of output channels. + hidden_channels (int): encoder's embedding size. + filter_channels (int): transformer's feed-forward channels. + num_head (int): number of attention heads in transformer. + num_layers (int): number of transformer encoder stack. + kernel_size (int): kernel size for conv layers and duration predictor. + dropout_p (float): dropout rate for any dropout layer. + mean_only (bool): if True, output only mean values and use constant std. + use_prenet (bool): if True, use pre-convolutional layers before transformer layers. + c_in_channels (int): number of channels in conditional input. + + Shapes: + - input: (B, T, C) + """ + + def __init__(self, + num_chars, + out_channels, + hidden_channels, + filter_channels, + filter_channels_dp, + num_heads, + num_layers, + kernel_size, + dropout_p, + mean_only=False, + use_prenet=False, + c_in_channels=0): + + super().__init__() + + self.num_chars = num_chars + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.filter_channels_dp = filter_channels_dp + self.num_heads = num_heads + self.num_layers = num_layers + self.kernel_size = kernel_size + self.dropout_p = dropout_p + self.mean_only = mean_only + self.use_prenet = use_prenet + self.c_in_channels = c_in_channels + + self.emb = nn.Embedding(num_chars, hidden_channels) + nn.init.normal_(self.emb.weight, 0.0, hidden_channels**-0.5) + self.register_buffer('pe', PositionalEncoding(hidden_channels).pe) + + if use_prenet: + self.pre = ConvLayerNorm(hidden_channels, + hidden_channels, + hidden_channels, + kernel_size=5, + num_layers=3, + dropout_p=0.5) + + encoder = nn.TransformerEncoderLayer(hidden_channels, + num_heads, + dim_feedforward=filter_channels, + dropout=dropout_p) + self.encoder = nn.TransformerEncoder(encoder, num_layers) + + self.proj_m = nn.Conv1d(hidden_channels, out_channels, 1) + if not mean_only: + self.proj_s = nn.Conv1d(hidden_channels, out_channels, 1) + self.duration_predictor = DurationPredictor( + hidden_channels + c_in_channels, filter_channels_dp, kernel_size, + dropout_p) + + def forward(self, x, x_lengths, g=None): + # pass embedding layer + # [B ,T, D] + x = self.emb(x) * math.sqrt(self.hidden_channels) + x += self.pe[:x.shape[1]].unsqueeze(0) + # [B, D, T] + x = torch.transpose(x, 1, -1) + # compute input sequence mask + x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.size(2)), + 1).to(x.dtype) + # pass pre-conv layers + if self.use_prenet: + x = self.pre(x, x_mask) + # pass encoder + x = self.encoder(x.permute(2, 0, 1), + src_key_padding_mask=~(x_mask.squeeze(1).to(bool))) + x = x.permute(1, 2, 0) + # set duration predictor input + if g is not None: + g_exp = g.expand(-1, -1, x.size(-1)) + x_dp = torch.cat([torch.detach(x), g_exp], 1) + else: + x_dp = torch.detach(x) + # pass final projection layer + x_m = self.proj_m(x) * x_mask + if not self.mean_only: + x_logs = self.proj_s(x) * x_mask + else: + x_logs = torch.zeros_like(x_m) + # pass duration predictor + logw = self.duration_predictor(x_dp, x_mask) + return x_m, x_logs, logw, x_mask diff --git a/mozilla_voice_tts/tts/layers/glow_tts/glow.py b/mozilla_voice_tts/tts/layers/glow_tts/glow.py new file mode 100644 index 00000000..b560db21 --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/glow.py @@ -0,0 +1,358 @@ +import torch +from torch import nn +from torch.nn import functional as F + + +class LayerNorm(nn.Module): + def __init__(self, channels, eps=1e-4): + """Layer norm for the 2nd dimension of the input. + Args: + channels (int): number of channels (2nd dimension) of the input. + eps (float): to prevent 0 division + + Shapes: + - input: (B, C, T) + - output: (B, C, T) + """ + super().__init__() + self.channels = channels + self.eps = eps + + self.gamma = nn.Parameter(torch.ones(1, channels, 1) * 0.1) + self.beta = nn.Parameter(torch.zeros(1, channels, 1)) + + def forward(self, x): + mean = torch.mean(x, 1, keepdim=True) + variance = torch.mean((x - mean)**2, 1, keepdim=True) + x = (x - mean) * torch.rsqrt(variance + self.eps) + x = x * self.gamma + self.beta + return x + + +class ConvLayerNorm(nn.Module): + def __init__(self, in_channels, hidden_channels, out_channels, kernel_size, + num_layers, dropout_p): + super().__init__() + self.in_channels = in_channels + self.hidden_channels = hidden_channels + self.out_channels = out_channels + self.kernel_size = kernel_size + self.num_layers = num_layers + self.dropout_p = dropout_p + assert num_layers > 1, " [!] number of layers should be > 0." + assert kernel_size % 2 == 1, " [!] kernel size should be odd number." + + self.conv_layers = nn.ModuleList() + self.norm_layers = nn.ModuleList() + + self.conv_layers.append( + nn.Conv1d(in_channels, + hidden_channels, + kernel_size, + padding=kernel_size // 2)) + self.norm_layers.append(LayerNorm(hidden_channels)) + + for _ in range(num_layers - 1): + self.conv_layers.append( + nn.Conv1d(hidden_channels, + hidden_channels, + kernel_size, + padding=kernel_size // 2)) + self.norm_layers.append(LayerNorm(hidden_channels)) + + self.proj = nn.Conv1d(hidden_channels, out_channels, 1) + self.proj.weight.data.zero_() + self.proj.bias.data.zero_() + + def forward(self, x, x_mask): + x_org = x + for i in range(self.num_layers): + x = self.conv_layers[i](x * x_mask) + x = self.norm_layers[i](x * x_mask) + x = F.dropout(F.relu(x), self.dropout_p, training=self.training) + x = x_org + self.proj(x) + return x * x_mask + + +@torch.jit.script +def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels): + n_channels_int = n_channels[0] + in_act = input_a + input_b + t_act = torch.tanh(in_act[:, :n_channels_int, :]) + s_act = torch.sigmoid(in_act[:, n_channels_int:, :]) + acts = t_act * s_act + return acts + + +class WN(torch.nn.Module): + def __init__(self, + in_channels, + hidden_channels, + kernel_size, + dilation_rate, + num_layers, + c_in_channels=0, + dropout_p=0): + super(WN, self).__init__() + assert kernel_size % 2 == 1 + assert hidden_channels % 2 == 0 + self.in_channels = in_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.num_layers = num_layers + self.c_in_channels = c_in_channels + self.dropout_p = dropout_p + + self.in_layers = torch.nn.ModuleList() + self.res_skip_layers = torch.nn.ModuleList() + self.dropout = nn.Dropout(dropout_p) + + if c_in_channels != 0: + cond_layer = torch.nn.Conv1d(c_in_channels, + 2 * hidden_channels * num_layers, 1) + self.cond_layer = torch.nn.utils.weight_norm(cond_layer, + name='weight') + + for i in range(num_layers): + dilation = dilation_rate**i + padding = int((kernel_size * dilation - dilation) / 2) + in_layer = torch.nn.Conv1d(hidden_channels, + 2 * hidden_channels, + kernel_size, + dilation=dilation, + padding=padding) + in_layer = torch.nn.utils.weight_norm(in_layer, name='weight') + self.in_layers.append(in_layer) + + if i < num_layers - 1: + res_skip_channels = 2 * hidden_channels + else: + res_skip_channels = hidden_channels + + res_skip_layer = torch.nn.Conv1d(hidden_channels, + res_skip_channels, 1) + res_skip_layer = torch.nn.utils.weight_norm(res_skip_layer, + name='weight') + self.res_skip_layers.append(res_skip_layer) + + def forward(self, x, x_mask=None, g=None, **kwargs): # pylint: disable=unused-argument + output = torch.zeros_like(x) + n_channels_tensor = torch.IntTensor([self.hidden_channels]) + + if g is not None: + g = self.cond_layer(g) + + for i in range(self.num_layers): + x_in = self.in_layers[i](x) + x_in = self.dropout(x_in) + if g is not None: + cond_offset = i * 2 * self.hidden_channels + g_l = g[:, + cond_offset:cond_offset + 2 * self.hidden_channels, :] + else: + g_l = torch.zeros_like(x_in) + + acts = fused_add_tanh_sigmoid_multiply(x_in, g_l, + n_channels_tensor) + + res_skip_acts = self.res_skip_layers[i](acts) + if i < self.num_layers - 1: + x = (x + res_skip_acts[:, :self.hidden_channels, :]) * x_mask + output = output + res_skip_acts[:, self.hidden_channels:, :] + else: + output = output + res_skip_acts + return output * x_mask + + def remove_weight_norm(self): + if self.c_in_channels != 0: + torch.nn.utils.remove_weight_norm(self.cond_layer) + for l in self.in_layers: + torch.nn.utils.remove_weight_norm(l) + for l in self.res_skip_layers: + torch.nn.utils.remove_weight_norm(l) + + +class ActNorm(nn.Module): + """Activation Normalization bijector as an alternative to Batch Norm. It computes + mean and std from a sample data in advance and it uses these values + for normalization at training. + + Args: + channels (int): input channels. + ddi (False): data depended initialization flag. + + Shapes: + - inputs: (B, C, T) + - outputs: (B, C, T) + """ + + def __init__(self, channels, ddi=False, **kwargs): # pylint: disable=unused-argument + super().__init__() + self.channels = channels + self.initialized = not ddi + + self.logs = nn.Parameter(torch.zeros(1, channels, 1)) + self.bias = nn.Parameter(torch.zeros(1, channels, 1)) + + def forward(self, x, x_mask=None, reverse=False, **kwargs): # pylint: disable=unused-argument + if x_mask is None: + x_mask = torch.ones(x.size(0), 1, x.size(2)).to(device=x.device, + dtype=x.dtype) + x_len = torch.sum(x_mask, [1, 2]) + if not self.initialized: + self.initialize(x, x_mask) + self.initialized = True + + if reverse: + z = (x - self.bias) * torch.exp(-self.logs) * x_mask + logdet = None + else: + z = (self.bias + torch.exp(self.logs) * x) * x_mask + logdet = torch.sum(self.logs) * x_len # [b] + + return z, logdet + + def store_inverse(self): + pass + + def set_ddi(self, ddi): + self.initialized = not ddi + + def initialize(self, x, x_mask): + with torch.no_grad(): + denom = torch.sum(x_mask, [0, 2]) + m = torch.sum(x * x_mask, [0, 2]) / denom + m_sq = torch.sum(x * x * x_mask, [0, 2]) / denom + v = m_sq - (m**2) + logs = 0.5 * torch.log(torch.clamp_min(v, 1e-6)) + + bias_init = (-m * torch.exp(-logs)).view(*self.bias.shape).to( + dtype=self.bias.dtype) + logs_init = (-logs).view(*self.logs.shape).to( + dtype=self.logs.dtype) + + self.bias.data.copy_(bias_init) + self.logs.data.copy_(logs_init) + + +class InvConvNear(nn.Module): + def __init__(self, channels, num_splits=4, no_jacobian=False, **kwargs): # pylint: disable=unused-argument + super().__init__() + assert num_splits % 2 == 0 + self.channels = channels + self.num_splits = num_splits + self.no_jacobian = no_jacobian + self.weight_inv = None + + w_init = torch.qr( + torch.FloatTensor(self.num_splits, self.num_splits).normal_())[0] + if torch.det(w_init) < 0: + w_init[:, 0] = -1 * w_init[:, 0] + self.weight = nn.Parameter(w_init) + + def forward(self, x, x_mask=None, reverse=False, **kwargs): # pylint: disable=unused-argument + """Split the input into groups of size self.num_splits and + perform 1x1 convolution separately. Cast 1x1 conv operation + to 2d by reshaping the input for efficienty. + """ + + b, c, t = x.size() + assert c % self.num_splits == 0 + if x_mask is None: + x_mask = 1 + x_len = torch.ones((b, ), dtype=x.dtype, device=x.device) * t + else: + x_len = torch.sum(x_mask, [1, 2]) + + x = x.view(b, 2, c // self.num_splits, self.num_splits // 2, t) + x = x.permute(0, 1, 3, 2, 4).contiguous().view(b, self.num_splits, + c // self.num_splits, t) + + if reverse: + if self.weight_inv is not None: + weight = self.weight_inv + else: + weight = torch.inverse( + self.weight.float()).to(dtype=self.weight.dtype) + logdet = None + else: + weight = self.weight + if self.no_jacobian: + logdet = 0 + else: + logdet = torch.logdet( + self.weight) * (c / self.num_splits) * x_len # [b] + + weight = weight.view(self.num_splits, self.num_splits, 1, 1) + z = F.conv2d(x, weight) + + z = z.view(b, 2, self.num_splits // 2, c // self.num_splits, t) + z = z.permute(0, 1, 3, 2, 4).contiguous().view(b, c, t) * x_mask + return z, logdet + + def store_inverse(self): + self.weight_inv = torch.inverse( + self.weight.float()).to(dtype=self.weight.dtype) + + +class CouplingBlock(nn.Module): + def __init__(self, + in_channels, + hidden_channels, + kernel_size, + dilation_rate, + num_layers, + c_in_channels=0, + dropout_p=0, + sigmoid_scale=False): + super().__init__() + self.in_channels = in_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.num_layers = num_layers + self.c_in_channels = c_in_channels + self.dropout_p = dropout_p + self.sigmoid_scale = sigmoid_scale + + start = torch.nn.Conv1d(in_channels // 2, hidden_channels, 1) + start = torch.nn.utils.weight_norm(start) + self.start = start + # Initializing last layer to 0 makes the affine coupling layers + # do nothing at first. This helps with training stability + end = torch.nn.Conv1d(hidden_channels, in_channels, 1) + end.weight.data.zero_() + end.bias.data.zero_() + self.end = end + + self.wn = WN(in_channels, hidden_channels, kernel_size, dilation_rate, + num_layers, c_in_channels, dropout_p) + + def forward(self, x, x_mask=None, reverse=False, g=None, **kwargs): # pylint: disable=unused-argument + if x_mask is None: + x_mask = 1 + x_0, x_1 = x[:, :self.in_channels // 2], x[:, self.in_channels // 2:] + + x = self.start(x_0) * x_mask + x = self.wn(x, x_mask, g) + out = self.end(x) + + z_0 = x_0 + m = out[:, :self.in_channels // 2, :] + logs = out[:, self.in_channels // 2:, :] + if self.sigmoid_scale: + logs = torch.log(1e-6 + torch.sigmoid(logs + 2)) + + if reverse: + z_1 = (x_1 - m) * torch.exp(-logs) * x_mask + logdet = None + else: + z_1 = (m + torch.exp(logs) * x_1) * x_mask + logdet = torch.sum(logs * x_mask, [1, 2]) + + z = torch.cat([z_0, z_1], 1) + return z, logdet + + def store_inverse(self): + self.wn.remove_weight_norm() diff --git a/mozilla_voice_tts/tts/layers/glow_tts/glow_v2.py b/mozilla_voice_tts/tts/layers/glow_tts/glow_v2.py new file mode 100644 index 00000000..28bf960f --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/glow_v2.py @@ -0,0 +1,125 @@ +import torch +from torch import nn +from torch.nn import functional as F + +from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask +from mozilla_voice_tts.tts.layers.glow_tts.glow import InvConvNear, CouplingBlock, ActNorm, BatchNorm + + +def squeeze(x, x_mask=None, num_sqz=2): + b, c, t = x.size() + + t = (t // num_sqz) * num_sqz + x = x[:, :, :t] + x_sqz = x.view(b, c, t // num_sqz, num_sqz) + x_sqz = x_sqz.permute(0, 3, 1, + 2).contiguous().view(b, c * num_sqz, t // num_sqz) + + if x_mask is not None: + x_mask = x_mask[:, :, num_sqz - 1::num_sqz] + else: + x_mask = torch.ones(b, 1, t // num_sqz).to(device=x.device, + dtype=x.dtype) + return x_sqz * x_mask, x_mask + + +def unsqueeze(x, x_mask=None, num_sqz=2): + b, c, t = x.size() + + x_unsqz = x.view(b, num_sqz, c // num_sqz, t) + x_unsqz = x_unsqz.permute(0, 2, 3, + 1).contiguous().view(b, c // num_sqz, + t * num_sqz) + + if x_mask is not None: + x_mask = x_mask.unsqueeze(-1).repeat(1, 1, 1, + num_sqz).view(b, 1, t * num_sqz) + else: + x_mask = torch.ones(b, 1, t * num_sqz).to(device=x.device, + dtype=x.dtype) + return x_unsqz * x_mask, x_mask + + +class Decoder(nn.Module): + """Stack of Glow Modules""" + def __init__(self, + in_channels, + hidden_channels, + kernel_size, + dilation_rate, + num_blocks, + num_coupling_layers, + dropout_p=0., + num_splits=4, + num_sqz=2, + sigmoid_scale=False, + c_in_channels=0): + super().__init__() + + self.in_channels = in_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.num_blocks = num_blocks + self.num_coupling_layers = num_coupling_layers + self.dropout_p = dropout_p + self.num_splits = num_splits + self.num_sqz = num_sqz + self.sigmoid_scale = sigmoid_scale + self.c_in_channels = c_in_channels + + self.norm_layers = nn.ModuleList() + self.invconv_layers = nn.ModuleList() + self.coupling_layers = nn.ModuleList() + + for _ in range(num_blocks): + self.norm_layers.append(ActNorm(in_channels=in_channels * num_sqz)) + self.invconv_layers.append( + InvConvNear(channels=in_channels * num_sqz, + num_splits=num_splits)) + self.coupling_layers.append( + CouplingBlock(in_channels * num_sqz, + hidden_channels, + kernel_size=kernel_size, + dilation_rate=dilation_rate, + num_layers=num_coupling_layers, + c_in_channels=c_in_channels, + dropout_p=dropout_p, + sigmoid_scale=sigmoid_scale)) + + def forward(self, x, x_mask, g=None, reverse=False): + if not reverse: + # norm_layers = self.norm_layers + invconv_layers = self.invconv_layers + coupling_layers = self.coupling_layers + logdet_tot = 0 + else: + # norm_layers = reversed(self.norm_layers) + invconv_layers = self.invconv_layers[::-1] + coupling_layers = self.coupling_layers[::-1] + logdet_tot = None + + if self.num_sqz > 1: + x, x_mask = squeeze(x, x_mask, self.num_sqz) + for idx in range(len(self.invconv_layers)): + if not reverse: + # x, log_det = norm_layers[idx](x, reverse) + # logdet_tot += log_det + + x, log_det = invconv_layers[idx](x, x_mask, reverse) + logdet_tot += log_det + + x, log_det = coupling_layers[idx](x, x_mask, g=g, reverse=reverse) + logdet_tot += log_det + else: + x, log_det = coupling_layers[idx](x, x_mask, g=g, reverse=reverse) + x, log_det = invconv_layers[idx](x, x_mask, reverse) + # x, logdet = norm_layers[idx](x, reverse) + + if self.num_sqz > 1: + x, x_mask = unsqueeze(x, x_mask, self.num_sqz) + return x, logdet_tot + + def store_inverse(self): + for f in self.flows: + f.store_inverse() \ No newline at end of file diff --git a/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/__init__.py b/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/__init__.py new file mode 100644 index 00000000..36603208 --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/__init__.py @@ -0,0 +1,49 @@ +import numpy as np +import torch +from torch.nn import functional as F +from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask +from mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core import maximum_path_c + + +def convert_pad_shape(pad_shape): + l = pad_shape[::-1] + pad_shape = [item for sublist in l for item in sublist] + return pad_shape + + +def generate_path(duration, mask): + """ + duration: [b, t_x] + mask: [b, t_x, t_y] + """ + device = duration.device + + b, t_x, t_y = mask.shape + cum_duration = torch.cumsum(duration, 1) + path = torch.zeros(b, t_x, t_y, dtype=mask.dtype).to(device=device) + + cum_duration_flat = cum_duration.view(b * t_x) + path = sequence_mask(cum_duration_flat, t_y).to(mask.dtype) + path = path.view(b, t_x, t_y) + path = path - F.pad(path, convert_pad_shape([[0, 0], [1, 0], [0, 0] + ]))[:, :-1] + path = path * mask + return path + + +def maximum_path(value, mask): + """ Cython optimised version. + value: [b, t_x, t_y] + mask: [b, t_x, t_y] + """ + value = value * mask + device = value.device + dtype = value.dtype + value = value.data.cpu().numpy().astype(np.float32) + path = np.zeros_like(value).astype(np.int32) + mask = mask.data.cpu().numpy() + + t_x_max = mask.sum(1)[:, 0].astype(np.int32) + t_y_max = mask.sum(2)[:, 0].astype(np.int32) + maximum_path_c(path, value, t_x_max, t_y_max) + return torch.from_numpy(path).to(device=device, dtype=dtype) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.c b/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.c new file mode 100644 index 00000000..f82b9ed4 --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.c @@ -0,0 +1,24668 @@ +/* Generated by Cython 0.29.15 */ + +/* BEGIN: Cython Metadata +{ + "distutils": { + "depends": [], + "name": "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core", + "sources": [ + "core.pyx" + ] + }, + "module_name": "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core" +} +END: Cython Metadata */ + +#define PY_SSIZE_T_CLEAN +#include "Python.h" +#ifndef Py_PYTHON_H + #error Python headers needed to compile C extensions, please install development version of Python. +#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) + #error Cython requires Python 2.6+ or Python 3.3+. +#else +#define CYTHON_ABI "0_29_15" +#define CYTHON_HEX_VERSION 0x001D0FF0 +#define CYTHON_FUTURE_DIVISION 0 +#include +#ifndef offsetof + #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) +#endif +#if !defined(WIN32) && !defined(MS_WINDOWS) + #ifndef __stdcall + #define __stdcall + #endif + #ifndef __cdecl + #define __cdecl + #endif + #ifndef __fastcall + #define __fastcall + #endif +#endif +#ifndef DL_IMPORT + #define DL_IMPORT(t) t +#endif +#ifndef DL_EXPORT + #define DL_EXPORT(t) t +#endif +#define __PYX_COMMA , +#ifndef HAVE_LONG_LONG + #if PY_VERSION_HEX >= 0x02070000 + #define HAVE_LONG_LONG + #endif +#endif +#ifndef PY_LONG_LONG + #define PY_LONG_LONG LONG_LONG +#endif +#ifndef Py_HUGE_VAL + #define Py_HUGE_VAL HUGE_VAL +#endif +#ifdef PYPY_VERSION + #define CYTHON_COMPILING_IN_PYPY 1 + #define CYTHON_COMPILING_IN_PYSTON 0 + #define CYTHON_COMPILING_IN_CPYTHON 0 + #undef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 0 + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #if PY_VERSION_HEX < 0x03050000 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #elif !defined(CYTHON_USE_ASYNC_SLOTS) + #define CYTHON_USE_ASYNC_SLOTS 1 + #endif + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #undef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 0 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #undef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 1 + #undef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 0 + #undef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 0 + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #undef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 0 + #undef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 +#elif defined(PYSTON_VERSION) + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_PYSTON 1 + #define CYTHON_COMPILING_IN_CPYTHON 0 + #ifndef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 1 + #endif + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #ifndef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 1 + #endif + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #ifndef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 0 + #endif + #ifndef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 1 + #endif + #ifndef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 1 + #endif + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #undef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 0 + #undef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 +#else + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_PYSTON 0 + #define CYTHON_COMPILING_IN_CPYTHON 1 + #ifndef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 1 + #endif + #if PY_VERSION_HEX < 0x02070000 + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #elif !defined(CYTHON_USE_PYTYPE_LOOKUP) + #define CYTHON_USE_PYTYPE_LOOKUP 1 + #endif + #if PY_MAJOR_VERSION < 3 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #elif !defined(CYTHON_USE_ASYNC_SLOTS) + #define CYTHON_USE_ASYNC_SLOTS 1 + #endif + #if PY_VERSION_HEX < 0x02070000 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #elif !defined(CYTHON_USE_PYLONG_INTERNALS) + #define CYTHON_USE_PYLONG_INTERNALS 1 + #endif + #ifndef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 1 + #endif + #ifndef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 1 + #endif + #if PY_VERSION_HEX < 0x030300F0 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #elif !defined(CYTHON_USE_UNICODE_WRITER) + #define CYTHON_USE_UNICODE_WRITER 1 + #endif + #ifndef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 0 + #endif + #ifndef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 1 + #endif + #ifndef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 1 + #endif + #ifndef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 1 + #endif + #ifndef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 1 + #endif + #ifndef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000) + #endif + #ifndef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1) + #endif + #ifndef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1) + #endif + #ifndef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3) + #endif +#endif +#if !defined(CYTHON_FAST_PYCCALL) +#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1) +#endif +#if CYTHON_USE_PYLONG_INTERNALS + #include "longintrepr.h" + #undef SHIFT + #undef BASE + #undef MASK + #ifdef SIZEOF_VOID_P + enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) }; + #endif +#endif +#ifndef __has_attribute + #define __has_attribute(x) 0 +#endif +#ifndef __has_cpp_attribute + #define __has_cpp_attribute(x) 0 +#endif +#ifndef CYTHON_RESTRICT + #if defined(__GNUC__) + #define CYTHON_RESTRICT __restrict__ + #elif defined(_MSC_VER) && _MSC_VER >= 1400 + #define CYTHON_RESTRICT __restrict + #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define CYTHON_RESTRICT restrict + #else + #define CYTHON_RESTRICT + #endif +#endif +#ifndef CYTHON_UNUSED +# if defined(__GNUC__) +# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) +# define CYTHON_UNUSED __attribute__ ((__unused__)) +# else +# define CYTHON_UNUSED +# endif +# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) +# define CYTHON_UNUSED __attribute__ ((__unused__)) +# else +# define CYTHON_UNUSED +# endif +#endif +#ifndef CYTHON_MAYBE_UNUSED_VAR +# if defined(__cplusplus) + template void CYTHON_MAYBE_UNUSED_VAR( const T& ) { } +# else +# define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x) +# endif +#endif +#ifndef CYTHON_NCP_UNUSED +# if CYTHON_COMPILING_IN_CPYTHON +# define CYTHON_NCP_UNUSED +# else +# define CYTHON_NCP_UNUSED CYTHON_UNUSED +# endif +#endif +#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) +#ifdef _MSC_VER + #ifndef _MSC_STDINT_H_ + #if _MSC_VER < 1300 + typedef unsigned char uint8_t; + typedef unsigned int uint32_t; + #else + typedef unsigned __int8 uint8_t; + typedef unsigned __int32 uint32_t; + #endif + #endif +#else + #include +#endif +#ifndef CYTHON_FALLTHROUGH + #if defined(__cplusplus) && __cplusplus >= 201103L + #if __has_cpp_attribute(fallthrough) + #define CYTHON_FALLTHROUGH [[fallthrough]] + #elif __has_cpp_attribute(clang::fallthrough) + #define CYTHON_FALLTHROUGH [[clang::fallthrough]] + #elif __has_cpp_attribute(gnu::fallthrough) + #define CYTHON_FALLTHROUGH [[gnu::fallthrough]] + #endif + #endif + #ifndef CYTHON_FALLTHROUGH + #if __has_attribute(fallthrough) + #define CYTHON_FALLTHROUGH __attribute__((fallthrough)) + #else + #define CYTHON_FALLTHROUGH + #endif + #endif + #if defined(__clang__ ) && defined(__apple_build_version__) + #if __apple_build_version__ < 7000000 + #undef CYTHON_FALLTHROUGH + #define CYTHON_FALLTHROUGH + #endif + #endif +#endif + +#ifndef CYTHON_INLINE + #if defined(__clang__) + #define CYTHON_INLINE __inline__ __attribute__ ((__unused__)) + #elif defined(__GNUC__) + #define CYTHON_INLINE __inline__ + #elif defined(_MSC_VER) + #define CYTHON_INLINE __inline + #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define CYTHON_INLINE inline + #else + #define CYTHON_INLINE + #endif +#endif + +#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag) + #define Py_OptimizeFlag 0 +#endif +#define __PYX_BUILD_PY_SSIZE_T "n" +#define CYTHON_FORMAT_SSIZE_T "z" +#if PY_MAJOR_VERSION < 3 + #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) + #define __Pyx_DefaultClassType PyClass_Type +#else + #define __Pyx_BUILTIN_MODULE_NAME "builtins" +#if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2 + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) +#else + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) +#endif + #define __Pyx_DefaultClassType PyType_Type +#endif +#ifndef Py_TPFLAGS_CHECKTYPES + #define Py_TPFLAGS_CHECKTYPES 0 +#endif +#ifndef Py_TPFLAGS_HAVE_INDEX + #define Py_TPFLAGS_HAVE_INDEX 0 +#endif +#ifndef Py_TPFLAGS_HAVE_NEWBUFFER + #define Py_TPFLAGS_HAVE_NEWBUFFER 0 +#endif +#ifndef Py_TPFLAGS_HAVE_FINALIZE + #define Py_TPFLAGS_HAVE_FINALIZE 0 +#endif +#ifndef METH_STACKLESS + #define METH_STACKLESS 0 +#endif +#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL) + #ifndef METH_FASTCALL + #define METH_FASTCALL 0x80 + #endif + typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs); + typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args, + Py_ssize_t nargs, PyObject *kwnames); +#else + #define __Pyx_PyCFunctionFast _PyCFunctionFast + #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords +#endif +#if CYTHON_FAST_PYCCALL +#define __Pyx_PyFastCFunction_Check(func)\ + ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))))) +#else +#define __Pyx_PyFastCFunction_Check(func) 0 +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc) + #define PyObject_Malloc(s) PyMem_Malloc(s) + #define PyObject_Free(p) PyMem_Free(p) + #define PyObject_Realloc(p) PyMem_Realloc(p) +#endif +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1 + #define PyMem_RawMalloc(n) PyMem_Malloc(n) + #define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n) + #define PyMem_RawFree(p) PyMem_Free(p) +#endif +#if CYTHON_COMPILING_IN_PYSTON + #define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno) +#else + #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno) +#endif +#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000 + #define __Pyx_PyThreadState_Current PyThreadState_GET() +#elif PY_VERSION_HEX >= 0x03060000 + #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet() +#elif PY_VERSION_HEX >= 0x03000000 + #define __Pyx_PyThreadState_Current PyThreadState_GET() +#else + #define __Pyx_PyThreadState_Current _PyThreadState_Current +#endif +#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT) +#include "pythread.h" +#define Py_tss_NEEDS_INIT 0 +typedef int Py_tss_t; +static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { + *key = PyThread_create_key(); + return 0; +} +static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { + Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); + *key = Py_tss_NEEDS_INIT; + return key; +} +static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) { + PyObject_Free(key); +} +static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) { + return *key != Py_tss_NEEDS_INIT; +} +static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) { + PyThread_delete_key(*key); + *key = Py_tss_NEEDS_INIT; +} +static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { + return PyThread_set_key_value(*key, value); +} +static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { + return PyThread_get_key_value(*key); +} +#endif +#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) +#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) +#else +#define __Pyx_PyDict_NewPresized(n) PyDict_New() +#endif +#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION + #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) + #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) +#else + #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) + #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) +#endif +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS +#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash) +#else +#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name) +#endif +#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND) + #define CYTHON_PEP393_ENABLED 1 + #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\ + 0 : _PyUnicode_Ready((PyObject *)(op))) + #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u) + #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i) + #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u) + #define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u) + #define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u) + #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i) + #define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch) + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u))) +#else + #define CYTHON_PEP393_ENABLED 0 + #define PyUnicode_1BYTE_KIND 1 + #define PyUnicode_2BYTE_KIND 2 + #define PyUnicode_4BYTE_KIND 4 + #define __Pyx_PyUnicode_READY(op) (0) + #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u) + #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i])) + #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111) + #define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE)) + #define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u)) + #define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i])) + #define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch) + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u)) +#endif +#if CYTHON_COMPILING_IN_PYPY + #define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b) + #define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b) +#else + #define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b) + #define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\ + PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b)) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains) + #define PyUnicode_Contains(u, s) PySequence_Contains(u, s) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check) + #define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format) + #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt) +#endif +#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b)) +#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b) +#else + #define __Pyx_PyString_Format(a, b) PyString_Format(a, b) +#endif +#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII) + #define PyObject_ASCII(o) PyObject_Repr(o) +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyBaseString_Type PyUnicode_Type + #define PyStringObject PyUnicodeObject + #define PyString_Type PyUnicode_Type + #define PyString_Check PyUnicode_Check + #define PyString_CheckExact PyUnicode_CheckExact + #define PyObject_Unicode PyObject_Str +#endif +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj) + #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj) +#else + #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj)) + #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj)) +#endif +#ifndef PySet_CheckExact + #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type) +#endif +#if CYTHON_ASSUME_SAFE_MACROS + #define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq) +#else + #define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq) +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyIntObject PyLongObject + #define PyInt_Type PyLong_Type + #define PyInt_Check(op) PyLong_Check(op) + #define PyInt_CheckExact(op) PyLong_CheckExact(op) + #define PyInt_FromString PyLong_FromString + #define PyInt_FromUnicode PyLong_FromUnicode + #define PyInt_FromLong PyLong_FromLong + #define PyInt_FromSize_t PyLong_FromSize_t + #define PyInt_FromSsize_t PyLong_FromSsize_t + #define PyInt_AsLong PyLong_AsLong + #define PyInt_AS_LONG PyLong_AS_LONG + #define PyInt_AsSsize_t PyLong_AsSsize_t + #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask + #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask + #define PyNumber_Int PyNumber_Long +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyBoolObject PyLongObject +#endif +#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY + #ifndef PyUnicode_InternFromString + #define PyUnicode_InternFromString(s) PyUnicode_FromString(s) + #endif +#endif +#if PY_VERSION_HEX < 0x030200A4 + typedef long Py_hash_t; + #define __Pyx_PyInt_FromHash_t PyInt_FromLong + #define __Pyx_PyInt_AsHash_t PyInt_AsLong +#else + #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t + #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t +#endif +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func)) +#else + #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass) +#endif +#if CYTHON_USE_ASYNC_SLOTS + #if PY_VERSION_HEX >= 0x030500B1 + #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods + #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async) + #else + #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved)) + #endif +#else + #define __Pyx_PyType_AsAsync(obj) NULL +#endif +#ifndef __Pyx_PyAsyncMethodsStruct + typedef struct { + unaryfunc am_await; + unaryfunc am_aiter; + unaryfunc am_anext; + } __Pyx_PyAsyncMethodsStruct; +#endif + +#if defined(WIN32) || defined(MS_WINDOWS) + #define _USE_MATH_DEFINES +#endif +#include +#ifdef NAN +#define __PYX_NAN() ((float) NAN) +#else +static CYTHON_INLINE float __PYX_NAN() { + float value; + memset(&value, 0xFF, sizeof(value)); + return value; +} +#endif +#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL) +#define __Pyx_truncl trunc +#else +#define __Pyx_truncl truncl +#endif + + +#define __PYX_ERR(f_index, lineno, Ln_error) \ +{ \ + __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \ +} + +#ifndef __PYX_EXTERN_C + #ifdef __cplusplus + #define __PYX_EXTERN_C extern "C" + #else + #define __PYX_EXTERN_C extern + #endif +#endif + +#define __PYX_HAVE__TTS__tts__layers__glow_tts__monotonic_align__core +#define __PYX_HAVE_API__TTS__tts__layers__glow_tts__monotonic_align__core +/* Early includes */ +#include +#include +#include "numpy/arrayobject.h" +#include "numpy/ufuncobject.h" +#include "pythread.h" +#include +#include "pystate.h" +#ifdef _OPENMP +#include +#endif /* _OPENMP */ + +#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS) +#define CYTHON_WITHOUT_ASSERTIONS +#endif + +typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding; + const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; + +#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 +#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0 +#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8) +#define __PYX_DEFAULT_STRING_ENCODING "" +#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString +#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize +#define __Pyx_uchar_cast(c) ((unsigned char)c) +#define __Pyx_long_cast(x) ((long)x) +#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\ + (sizeof(type) < sizeof(Py_ssize_t)) ||\ + (sizeof(type) > sizeof(Py_ssize_t) &&\ + likely(v < (type)PY_SSIZE_T_MAX ||\ + v == (type)PY_SSIZE_T_MAX) &&\ + (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\ + v == (type)PY_SSIZE_T_MIN))) ||\ + (sizeof(type) == sizeof(Py_ssize_t) &&\ + (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ + v == (type)PY_SSIZE_T_MAX))) ) +static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) { + return (size_t) i < (size_t) limit; +} +#if defined (__cplusplus) && __cplusplus >= 201103L + #include + #define __Pyx_sst_abs(value) std::abs(value) +#elif SIZEOF_INT >= SIZEOF_SIZE_T + #define __Pyx_sst_abs(value) abs(value) +#elif SIZEOF_LONG >= SIZEOF_SIZE_T + #define __Pyx_sst_abs(value) labs(value) +#elif defined (_MSC_VER) + #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value)) +#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define __Pyx_sst_abs(value) llabs(value) +#elif defined (__GNUC__) + #define __Pyx_sst_abs(value) __builtin_llabs(value) +#else + #define __Pyx_sst_abs(value) ((value<0) ? -value : value) +#endif +static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*); +static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); +#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s)) +#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) +#define __Pyx_PyBytes_FromString PyBytes_FromString +#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); +#if PY_MAJOR_VERSION < 3 + #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString + #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize +#else + #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString + #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize +#endif +#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) +#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) +#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) +#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s) +#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) +static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { + const Py_UNICODE *u_end = u; + while (*u_end++) ; + return (size_t)(u_end - u - 1); +} +#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) +#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode +#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode +#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj) +#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) +static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b); +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*); +static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); +#define __Pyx_PySequence_Tuple(obj)\ + (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj)) +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); +static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); +#if CYTHON_ASSUME_SAFE_MACROS +#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) +#else +#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) +#endif +#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) +#if PY_MAJOR_VERSION >= 3 +#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) +#else +#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) +#endif +#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x)) +#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII +static int __Pyx_sys_getdefaultencoding_not_ascii; +static int __Pyx_init_sys_getdefaultencoding_params(void) { + PyObject* sys; + PyObject* default_encoding = NULL; + PyObject* ascii_chars_u = NULL; + PyObject* ascii_chars_b = NULL; + const char* default_encoding_c; + sys = PyImport_ImportModule("sys"); + if (!sys) goto bad; + default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); + Py_DECREF(sys); + if (!default_encoding) goto bad; + default_encoding_c = PyBytes_AsString(default_encoding); + if (!default_encoding_c) goto bad; + if (strcmp(default_encoding_c, "ascii") == 0) { + __Pyx_sys_getdefaultencoding_not_ascii = 0; + } else { + char ascii_chars[128]; + int c; + for (c = 0; c < 128; c++) { + ascii_chars[c] = c; + } + __Pyx_sys_getdefaultencoding_not_ascii = 1; + ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); + if (!ascii_chars_u) goto bad; + ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); + if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { + PyErr_Format( + PyExc_ValueError, + "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", + default_encoding_c); + goto bad; + } + Py_DECREF(ascii_chars_u); + Py_DECREF(ascii_chars_b); + } + Py_DECREF(default_encoding); + return 0; +bad: + Py_XDECREF(default_encoding); + Py_XDECREF(ascii_chars_u); + Py_XDECREF(ascii_chars_b); + return -1; +} +#endif +#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 +#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) +#else +#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) +#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT +static char* __PYX_DEFAULT_STRING_ENCODING; +static int __Pyx_init_sys_getdefaultencoding_params(void) { + PyObject* sys; + PyObject* default_encoding = NULL; + char* default_encoding_c; + sys = PyImport_ImportModule("sys"); + if (!sys) goto bad; + default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); + Py_DECREF(sys); + if (!default_encoding) goto bad; + default_encoding_c = PyBytes_AsString(default_encoding); + if (!default_encoding_c) goto bad; + __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1); + if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; + strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); + Py_DECREF(default_encoding); + return 0; +bad: + Py_XDECREF(default_encoding); + return -1; +} +#endif +#endif + + +/* Test for GCC > 2.95 */ +#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) +#else /* !__GNUC__ or GCC < 2.95 */ + #define likely(x) (x) + #define unlikely(x) (x) +#endif /* __GNUC__ */ +static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; } + +static PyObject *__pyx_m = NULL; +static PyObject *__pyx_d; +static PyObject *__pyx_b; +static PyObject *__pyx_cython_runtime = NULL; +static PyObject *__pyx_empty_tuple; +static PyObject *__pyx_empty_bytes; +static PyObject *__pyx_empty_unicode; +static int __pyx_lineno; +static int __pyx_clineno = 0; +static const char * __pyx_cfilenm= __FILE__; +static const char *__pyx_filename; + +/* Header.proto */ +#if !defined(CYTHON_CCOMPLEX) + #if defined(__cplusplus) + #define CYTHON_CCOMPLEX 1 + #elif defined(_Complex_I) + #define CYTHON_CCOMPLEX 1 + #else + #define CYTHON_CCOMPLEX 0 + #endif +#endif +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + #include + #else + #include + #endif +#endif +#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__) + #undef _Complex_I + #define _Complex_I 1.0fj +#endif + + +static const char *__pyx_f[] = { + "core.pyx", + "__init__.pxd", + "stringsource", + "type.pxd", +}; +/* NoFastGil.proto */ +#define __Pyx_PyGILState_Ensure PyGILState_Ensure +#define __Pyx_PyGILState_Release PyGILState_Release +#define __Pyx_FastGIL_Remember() +#define __Pyx_FastGIL_Forget() +#define __Pyx_FastGilFuncInit() + +/* MemviewSliceStruct.proto */ +struct __pyx_memoryview_obj; +typedef struct { + struct __pyx_memoryview_obj *memview; + char *data; + Py_ssize_t shape[8]; + Py_ssize_t strides[8]; + Py_ssize_t suboffsets[8]; +} __Pyx_memviewslice; +#define __Pyx_MemoryView_Len(m) (m.shape[0]) + +/* Atomics.proto */ +#include +#ifndef CYTHON_ATOMICS + #define CYTHON_ATOMICS 1 +#endif +#define __pyx_atomic_int_type int +#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\ + (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\ + !defined(__i386__) + #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) + #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) + #ifdef __PYX_DEBUG_ATOMICS + #warning "Using GNU atomics" + #endif +#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0 + #include + #undef __pyx_atomic_int_type + #define __pyx_atomic_int_type LONG + #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) + #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) + #ifdef __PYX_DEBUG_ATOMICS + #pragma message ("Using MSVC atomics") + #endif +#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 + #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) + #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) + #ifdef __PYX_DEBUG_ATOMICS + #warning "Using Intel atomics" + #endif +#else + #undef CYTHON_ATOMICS + #define CYTHON_ATOMICS 0 + #ifdef __PYX_DEBUG_ATOMICS + #warning "Not using atomics" + #endif +#endif +typedef volatile __pyx_atomic_int_type __pyx_atomic_int; +#if CYTHON_ATOMICS + #define __pyx_add_acquisition_count(memview)\ + __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) + #define __pyx_sub_acquisition_count(memview)\ + __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) +#else + #define __pyx_add_acquisition_count(memview)\ + __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) + #define __pyx_sub_acquisition_count(memview)\ + __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) +#endif + +/* ForceInitThreads.proto */ +#ifndef __PYX_FORCE_INIT_THREADS + #define __PYX_FORCE_INIT_THREADS 0 +#endif + +/* BufferFormatStructs.proto */ +#define IS_UNSIGNED(type) (((type) -1) > 0) +struct __Pyx_StructField_; +#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) +typedef struct { + const char* name; + struct __Pyx_StructField_* fields; + size_t size; + size_t arraysize[8]; + int ndim; + char typegroup; + char is_unsigned; + int flags; +} __Pyx_TypeInfo; +typedef struct __Pyx_StructField_ { + __Pyx_TypeInfo* type; + const char* name; + size_t offset; +} __Pyx_StructField; +typedef struct { + __Pyx_StructField* field; + size_t parent_offset; +} __Pyx_BufFmt_StackElem; +typedef struct { + __Pyx_StructField root; + __Pyx_BufFmt_StackElem* head; + size_t fmt_offset; + size_t new_count, enc_count; + size_t struct_alignment; + int is_complex; + char enc_type; + char new_packmode; + char enc_packmode; + char is_valid_array; +} __Pyx_BufFmt_Context; + + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 + * # in Cython to enable them only on the right systems. + * + * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< + * ctypedef npy_int16 int16_t + * ctypedef npy_int32 int32_t + */ +typedef npy_int8 __pyx_t_5numpy_int8_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 + * + * ctypedef npy_int8 int8_t + * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< + * ctypedef npy_int32 int32_t + * ctypedef npy_int64 int64_t + */ +typedef npy_int16 __pyx_t_5numpy_int16_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 + * ctypedef npy_int8 int8_t + * ctypedef npy_int16 int16_t + * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< + * ctypedef npy_int64 int64_t + * #ctypedef npy_int96 int96_t + */ +typedef npy_int32 __pyx_t_5numpy_int32_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 + * ctypedef npy_int16 int16_t + * ctypedef npy_int32 int32_t + * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< + * #ctypedef npy_int96 int96_t + * #ctypedef npy_int128 int128_t + */ +typedef npy_int64 __pyx_t_5numpy_int64_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 + * #ctypedef npy_int128 int128_t + * + * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< + * ctypedef npy_uint16 uint16_t + * ctypedef npy_uint32 uint32_t + */ +typedef npy_uint8 __pyx_t_5numpy_uint8_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 + * + * ctypedef npy_uint8 uint8_t + * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< + * ctypedef npy_uint32 uint32_t + * ctypedef npy_uint64 uint64_t + */ +typedef npy_uint16 __pyx_t_5numpy_uint16_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 + * ctypedef npy_uint8 uint8_t + * ctypedef npy_uint16 uint16_t + * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< + * ctypedef npy_uint64 uint64_t + * #ctypedef npy_uint96 uint96_t + */ +typedef npy_uint32 __pyx_t_5numpy_uint32_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 + * ctypedef npy_uint16 uint16_t + * ctypedef npy_uint32 uint32_t + * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< + * #ctypedef npy_uint96 uint96_t + * #ctypedef npy_uint128 uint128_t + */ +typedef npy_uint64 __pyx_t_5numpy_uint64_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 + * #ctypedef npy_uint128 uint128_t + * + * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< + * ctypedef npy_float64 float64_t + * #ctypedef npy_float80 float80_t + */ +typedef npy_float32 __pyx_t_5numpy_float32_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 + * + * ctypedef npy_float32 float32_t + * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< + * #ctypedef npy_float80 float80_t + * #ctypedef npy_float128 float128_t + */ +typedef npy_float64 __pyx_t_5numpy_float64_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 + * # The int types are mapped a bit surprising -- + * # numpy.int corresponds to 'l' and numpy.long to 'q' + * ctypedef npy_long int_t # <<<<<<<<<<<<<< + * ctypedef npy_longlong long_t + * ctypedef npy_longlong longlong_t + */ +typedef npy_long __pyx_t_5numpy_int_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 + * # numpy.int corresponds to 'l' and numpy.long to 'q' + * ctypedef npy_long int_t + * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< + * ctypedef npy_longlong longlong_t + * + */ +typedef npy_longlong __pyx_t_5numpy_long_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 + * ctypedef npy_long int_t + * ctypedef npy_longlong long_t + * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< + * + * ctypedef npy_ulong uint_t + */ +typedef npy_longlong __pyx_t_5numpy_longlong_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 + * ctypedef npy_longlong longlong_t + * + * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< + * ctypedef npy_ulonglong ulong_t + * ctypedef npy_ulonglong ulonglong_t + */ +typedef npy_ulong __pyx_t_5numpy_uint_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 + * + * ctypedef npy_ulong uint_t + * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< + * ctypedef npy_ulonglong ulonglong_t + * + */ +typedef npy_ulonglong __pyx_t_5numpy_ulong_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 + * ctypedef npy_ulong uint_t + * ctypedef npy_ulonglong ulong_t + * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< + * + * ctypedef npy_intp intp_t + */ +typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 + * ctypedef npy_ulonglong ulonglong_t + * + * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< + * ctypedef npy_uintp uintp_t + * + */ +typedef npy_intp __pyx_t_5numpy_intp_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 + * + * ctypedef npy_intp intp_t + * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< + * + * ctypedef npy_double float_t + */ +typedef npy_uintp __pyx_t_5numpy_uintp_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 + * ctypedef npy_uintp uintp_t + * + * ctypedef npy_double float_t # <<<<<<<<<<<<<< + * ctypedef npy_double double_t + * ctypedef npy_longdouble longdouble_t + */ +typedef npy_double __pyx_t_5numpy_float_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 + * + * ctypedef npy_double float_t + * ctypedef npy_double double_t # <<<<<<<<<<<<<< + * ctypedef npy_longdouble longdouble_t + * + */ +typedef npy_double __pyx_t_5numpy_double_t; + +/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 + * ctypedef npy_double float_t + * ctypedef npy_double double_t + * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< + * + * ctypedef npy_cfloat cfloat_t + */ +typedef npy_longdouble __pyx_t_5numpy_longdouble_t; +/* Declarations.proto */ +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + typedef ::std::complex< float > __pyx_t_float_complex; + #else + typedef float _Complex __pyx_t_float_complex; + #endif +#else + typedef struct { float real, imag; } __pyx_t_float_complex; +#endif +static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); + +/* Declarations.proto */ +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + typedef ::std::complex< double > __pyx_t_double_complex; + #else + typedef double _Complex __pyx_t_double_complex; + #endif +#else + typedef struct { double real, imag; } __pyx_t_double_complex; +#endif +static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); 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+ +/* RaiseArgTupleInvalid.proto */ +static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact, + Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); + +/* RaiseDoubleKeywords.proto */ +static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); + +/* ParseKeywords.proto */ +static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\ + PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\ + const char* function_name); + +/* None.proto */ +static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); + +/* PyObjectCall.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw); +#else +#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw) +#endif + +/* RaiseException.proto */ +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); + +/* PyCFunctionFastCall.proto */ +#if CYTHON_FAST_PYCCALL +static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs); +#else +#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL) +#endif + +/* PyFunctionFastCall.proto */ +#if CYTHON_FAST_PYCALL +#define __Pyx_PyFunction_FastCall(func, args, nargs)\ + __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL) +#if 1 || PY_VERSION_HEX < 0x030600B1 +static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs); +#else +#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs) +#endif +#define __Pyx_BUILD_ASSERT_EXPR(cond)\ + (sizeof(char [1 - 2*!(cond)]) - 1) +#ifndef Py_MEMBER_SIZE +#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member) +#endif + static size_t __pyx_pyframe_localsplus_offset = 0; + #include "frameobject.h" + #define __Pxy_PyFrame_Initialize_Offsets()\ + ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\ + (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus))) + #define __Pyx_PyFrame_GetLocalsplus(frame)\ + (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset)) +#endif + +/* PyObjectCallMethO.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); +#endif + +/* PyObjectCallOneArg.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); + +/* DictGetItem.proto */ +#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY +static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key); +#define __Pyx_PyObject_Dict_GetItem(obj, name)\ + (likely(PyDict_CheckExact(obj)) ?\ + __Pyx_PyDict_GetItem(obj, name) : PyObject_GetItem(obj, name)) +#else +#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key) +#define __Pyx_PyObject_Dict_GetItem(obj, name) PyObject_GetItem(obj, name) +#endif + +/* RaiseTooManyValuesToUnpack.proto */ +static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); + +/* RaiseNeedMoreValuesToUnpack.proto */ +static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); + +/* RaiseNoneIterError.proto */ +static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); + +/* ExtTypeTest.proto */ +static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); + +/* GetTopmostException.proto */ +#if CYTHON_USE_EXC_INFO_STACK +static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate); +#endif + +/* SaveResetException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); +#else +#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb) +#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb) +#endif + +/* PyErrExceptionMatches.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err) +static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err); +#else +#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err) +#endif + +/* GetException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb) +static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#else +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); +#endif + +/* ArgTypeTest.proto */ +#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\ + ((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\ + __Pyx__ArgTypeTest(obj, type, name, exact)) +static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact); + +/* PyObjectCall2Args.proto */ +static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2); + +/* IncludeStringH.proto */ +#include + +/* BytesEquals.proto */ +static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals); + +/* UnicodeEquals.proto */ +static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); + +/* StrEquals.proto */ +#if PY_MAJOR_VERSION >= 3 +#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals +#else +#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals +#endif + +/* None.proto */ +static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t); + +/* UnaryNegOverflows.proto */ +#define UNARY_NEG_WOULD_OVERFLOW(x)\ + (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) + +static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/ +/* GetAttr.proto */ +static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); + +/* GetItemInt.proto */ +#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\ + (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ + __Pyx_GetItemInt_Generic(o, to_py_func(i)))) +#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ + (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck); +#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ + (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck); +static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, + int is_list, int wraparound, int boundscheck); + +/* ObjectGetItem.proto */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key); +#else +#define __Pyx_PyObject_GetItem(obj, key) PyObject_GetItem(obj, key) +#endif + +/* decode_c_string_utf16.proto */ +static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) { + int byteorder = 0; + return PyUnicode_DecodeUTF16(s, size, errors, &byteorder); +} +static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) { + int byteorder = -1; + return PyUnicode_DecodeUTF16(s, size, errors, &byteorder); +} +static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) { + int byteorder = 1; + return PyUnicode_DecodeUTF16(s, size, errors, &byteorder); +} + +/* decode_c_string.proto */ +static CYTHON_INLINE PyObject* __Pyx_decode_c_string( + const char* cstring, Py_ssize_t start, Py_ssize_t stop, + const char* encoding, const char* errors, + PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)); + +/* GetAttr3.proto */ +static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *); + +/* PyDictVersioning.proto */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1) +#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ + (version_var) = __PYX_GET_DICT_VERSION(dict);\ + (cache_var) = (value); +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ + (VAR) = __pyx_dict_cached_value;\ + } else {\ + (VAR) = __pyx_dict_cached_value = (LOOKUP);\ + __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ + }\ +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj); +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj); +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version); +#else +#define __PYX_GET_DICT_VERSION(dict) (0) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var) +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP); +#endif + +/* GetModuleGlobalName.proto */ +#if CYTHON_USE_DICT_VERSIONS +#define __Pyx_GetModuleGlobalName(var, name) {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\ + (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ + __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ +} +#define __Pyx_GetModuleGlobalNameUncached(var, name) {\ + PY_UINT64_T __pyx_dict_version;\ + PyObject *__pyx_dict_cached_value;\ + (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ +} +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); +#else +#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) +#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); +#endif + +/* SwapException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#else +static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); +#endif + +/* Import.proto */ +static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); + +/* FastTypeChecks.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); +#else +#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) +#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) +#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2)) +#endif +#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) + +static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +/* ListCompAppend.proto */ +#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS +static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { + PyListObject* L = (PyListObject*) list; + Py_ssize_t len = Py_SIZE(list); + if (likely(L->allocated > len)) { + Py_INCREF(x); + PyList_SET_ITEM(list, len, x); + Py_SIZE(list) = len+1; + return 0; + } + return PyList_Append(list, x); +} +#else +#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) +#endif + +/* PyIntBinop.proto */ +#if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); +#else +#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\ + (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2)) +#endif + +/* ListExtend.proto */ +static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) { +#if CYTHON_COMPILING_IN_CPYTHON + PyObject* none = _PyList_Extend((PyListObject*)L, v); + if (unlikely(!none)) + return -1; + Py_DECREF(none); + return 0; +#else + return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v); +#endif +} + +/* ListAppend.proto */ +#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS +static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { + PyListObject* L = (PyListObject*) list; + Py_ssize_t len = Py_SIZE(list); + if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { + Py_INCREF(x); + PyList_SET_ITEM(list, len, x); + Py_SIZE(list) = len+1; + return 0; + } + return PyList_Append(list, x); +} +#else +#define __Pyx_PyList_Append(L,x) PyList_Append(L,x) +#endif + +/* None.proto */ +static CYTHON_INLINE long __Pyx_div_long(long, long); + +/* ImportFrom.proto */ +static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name); + +/* HasAttr.proto */ +static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *); + +/* PyObject_GenericGetAttrNoDict.proto */ +#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name); +#else +#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr +#endif + +/* PyObject_GenericGetAttr.proto */ +#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name); +#else +#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr +#endif + +/* SetVTable.proto */ +static int __Pyx_SetVtable(PyObject *dict, void *vtable); + +/* SetupReduce.proto */ +static int __Pyx_setup_reduce(PyObject* type_obj); + +/* TypeImport.proto */ +#ifndef __PYX_HAVE_RT_ImportType_proto +#define __PYX_HAVE_RT_ImportType_proto +enum __Pyx_ImportType_CheckSize { + __Pyx_ImportType_CheckSize_Error = 0, + __Pyx_ImportType_CheckSize_Warn = 1, + __Pyx_ImportType_CheckSize_Ignore = 2 +}; +static PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size); +#endif + +/* CLineInTraceback.proto */ +#ifdef CYTHON_CLINE_IN_TRACEBACK +#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) +#else +static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line); +#endif + +/* CodeObjectCache.proto */ +typedef struct { + PyCodeObject* code_object; + int code_line; +} __Pyx_CodeObjectCacheEntry; +struct __Pyx_CodeObjectCache { + int count; + int max_count; + __Pyx_CodeObjectCacheEntry* entries; +}; +static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; +static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); +static PyCodeObject *__pyx_find_code_object(int code_line); +static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); + +/* AddTraceback.proto */ +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename); + +#if PY_MAJOR_VERSION < 3 + static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); + static void __Pyx_ReleaseBuffer(Py_buffer *view); +#else + #define __Pyx_GetBuffer PyObject_GetBuffer + #define __Pyx_ReleaseBuffer PyBuffer_Release +#endif + + +/* BufferStructDeclare.proto */ +typedef struct { + Py_ssize_t shape, strides, suboffsets; +} __Pyx_Buf_DimInfo; +typedef struct { + size_t refcount; + Py_buffer pybuffer; +} __Pyx_Buffer; +typedef struct { + __Pyx_Buffer *rcbuffer; + char *data; + __Pyx_Buf_DimInfo diminfo[8]; +} __Pyx_LocalBuf_ND; + +/* MemviewSliceIsContig.proto */ +static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); + +/* OverlappingSlices.proto */ +static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, + __Pyx_memviewslice *slice2, + int ndim, size_t itemsize); + +/* Capsule.proto */ +static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); + +/* IsLittleEndian.proto */ +static CYTHON_INLINE int __Pyx_Is_Little_Endian(void); + +/* BufferFormatCheck.proto */ +static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); +static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, + __Pyx_BufFmt_StackElem* stack, + __Pyx_TypeInfo* type); + +/* TypeInfoCompare.proto */ +static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); + +/* MemviewSliceValidateAndInit.proto */ +static int __Pyx_ValidateAndInit_memviewslice( + int *axes_specs, + int c_or_f_flag, + int buf_flags, + int ndim, + __Pyx_TypeInfo *dtype, + __Pyx_BufFmt_StackElem stack[], + __Pyx_memviewslice *memviewslice, + PyObject *original_obj); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_int(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_float(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); + +/* RealImag.proto */ +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + #define __Pyx_CREAL(z) ((z).real()) + #define __Pyx_CIMAG(z) ((z).imag()) + #else + #define __Pyx_CREAL(z) (__real__(z)) + #define __Pyx_CIMAG(z) (__imag__(z)) + #endif +#else + #define __Pyx_CREAL(z) ((z).real) + #define __Pyx_CIMAG(z) ((z).imag) +#endif +#if defined(__cplusplus) && CYTHON_CCOMPLEX\ + && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) + #define __Pyx_SET_CREAL(z,x) ((z).real(x)) + #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) +#else + #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) + #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) +#endif + +/* Arithmetic.proto */ +#if CYTHON_CCOMPLEX + #define __Pyx_c_eq_float(a, b) ((a)==(b)) + #define __Pyx_c_sum_float(a, b) ((a)+(b)) + #define __Pyx_c_diff_float(a, b) ((a)-(b)) + #define __Pyx_c_prod_float(a, b) ((a)*(b)) + #define __Pyx_c_quot_float(a, b) ((a)/(b)) + #define __Pyx_c_neg_float(a) (-(a)) + #ifdef __cplusplus + #define __Pyx_c_is_zero_float(z) ((z)==(float)0) + #define __Pyx_c_conj_float(z) (::std::conj(z)) + #if 1 + #define __Pyx_c_abs_float(z) (::std::abs(z)) + #define __Pyx_c_pow_float(a, b) (::std::pow(a, b)) + #endif + #else + #define __Pyx_c_is_zero_float(z) ((z)==0) + #define __Pyx_c_conj_float(z) (conjf(z)) + #if 1 + #define __Pyx_c_abs_float(z) (cabsf(z)) + #define __Pyx_c_pow_float(a, b) (cpowf(a, b)) + #endif + #endif +#else + static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex); + static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex); + #if 1 + static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex); + #endif +#endif + +/* Arithmetic.proto */ +#if CYTHON_CCOMPLEX + #define __Pyx_c_eq_double(a, b) ((a)==(b)) + #define __Pyx_c_sum_double(a, b) ((a)+(b)) + #define __Pyx_c_diff_double(a, b) ((a)-(b)) + #define __Pyx_c_prod_double(a, b) ((a)*(b)) + #define __Pyx_c_quot_double(a, b) ((a)/(b)) + #define __Pyx_c_neg_double(a) (-(a)) + #ifdef __cplusplus + #define __Pyx_c_is_zero_double(z) ((z)==(double)0) + #define __Pyx_c_conj_double(z) (::std::conj(z)) + #if 1 + #define __Pyx_c_abs_double(z) (::std::abs(z)) + #define __Pyx_c_pow_double(a, b) (::std::pow(a, b)) + #endif + #else + #define __Pyx_c_is_zero_double(z) ((z)==0) + #define __Pyx_c_conj_double(z) (conj(z)) + #if 1 + #define __Pyx_c_abs_double(z) (cabs(z)) + #define __Pyx_c_pow_double(a, b) (cpow(a, b)) + #endif + #endif +#else + static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex); + static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex); + #if 1 + static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex); + #endif +#endif + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value); + +/* MemviewSliceCopyTemplate.proto */ +static __Pyx_memviewslice +__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, + const char *mode, int ndim, + size_t sizeof_dtype, int contig_flag, + int dtype_is_object); + +/* CIntFromPy.proto */ +static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); + +/* CIntFromPy.proto */ +static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); + +/* CIntFromPy.proto */ +static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); + +/* CheckBinaryVersion.proto */ +static int __Pyx_check_binary_version(void); + +/* InitStrings.proto */ +static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); + +static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ +static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ +static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ +static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ +static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ +static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ +static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ + +/* Module declarations from 'cpython.buffer' */ + +/* Module declarations from 'libc.string' */ + +/* Module declarations from 'libc.stdio' */ + +/* Module declarations from '__builtin__' */ + +/* Module declarations from 'cpython.type' */ +static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; + +/* Module declarations from 'cpython' */ + +/* Module declarations from 'cpython.object' */ + +/* Module declarations from 'cpython.ref' */ + +/* Module declarations from 'cpython.mem' */ + +/* Module declarations from 'numpy' */ + +/* Module declarations from 'numpy' */ +static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; +static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; +static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; +static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; +static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; +static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ + +/* Module declarations from 'cython.view' */ + +/* Module declarations from 'cython' */ + +/* Module declarations from 'mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core' */ +static PyTypeObject *__pyx_array_type = 0; +static PyTypeObject *__pyx_MemviewEnum_type = 0; +static PyTypeObject *__pyx_memoryview_type = 0; +static PyTypeObject *__pyx_memoryviewslice_type = 0; +static PyObject *generic = 0; +static PyObject *strided = 0; +static PyObject *indirect = 0; +static PyObject *contiguous = 0; +static PyObject *indirect_contiguous = 0; +static int __pyx_memoryview_thread_locks_used; +static PyThread_type_lock __pyx_memoryview_thread_locks[8]; +static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_each(__Pyx_memviewslice, __Pyx_memviewslice, int, int, float); /*proto*/ +static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_c(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int __pyx_skip_dispatch, struct __pyx_opt_args_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_c *__pyx_optional_args); /*proto*/ +static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ +static void *__pyx_align_pointer(void *, size_t); /*proto*/ +static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ +static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ +static PyObject *_unellipsify(PyObject *, int); /*proto*/ +static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ +static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ +static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ +static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ +static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ +static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ +static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ +static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ +static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ +static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ +static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ +static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ +static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ +static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ +static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ +static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ +static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ +static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ +static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ +static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ +static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ +static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ +static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ +static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ +static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/ +static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_float = { "float", NULL, sizeof(float), { 0 }, 0, 'R', 0, 0 }; +#define __Pyx_MODULE_NAME "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core" +extern int __pyx_module_is_main_TTS__tts__layers__glow_tts__monotonic_align__core; +int __pyx_module_is_main_TTS__tts__layers__glow_tts__monotonic_align__core = 0; + +/* Implementation of 'mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core' */ +static PyObject *__pyx_builtin_range; +static PyObject *__pyx_builtin_ValueError; +static PyObject *__pyx_builtin_RuntimeError; +static PyObject *__pyx_builtin_ImportError; +static PyObject *__pyx_builtin_MemoryError; +static PyObject *__pyx_builtin_enumerate; +static PyObject *__pyx_builtin_TypeError; +static PyObject *__pyx_builtin_Ellipsis; +static PyObject *__pyx_builtin_id; +static PyObject *__pyx_builtin_IndexError; +static const char __pyx_k_O[] = "O"; +static const char __pyx_k_c[] = "c"; +static const char __pyx_k_id[] = "id"; +static const char __pyx_k_np[] = "np"; +static const char __pyx_k_new[] = "__new__"; +static const char __pyx_k_obj[] = "obj"; +static const char __pyx_k_base[] = "base"; +static const char __pyx_k_dict[] = "__dict__"; +static const char __pyx_k_main[] = "__main__"; +static const char __pyx_k_mode[] = "mode"; +static const char __pyx_k_name[] = "name"; +static const char __pyx_k_ndim[] = "ndim"; +static const char __pyx_k_pack[] = "pack"; +static const char __pyx_k_size[] = "size"; +static const char __pyx_k_step[] = "step"; +static const char __pyx_k_stop[] = "stop"; +static const char __pyx_k_t_xs[] = "t_xs"; +static const char __pyx_k_t_ys[] = "t_ys"; +static const char __pyx_k_test[] = "__test__"; +static const char __pyx_k_ASCII[] = "ASCII"; +static const char __pyx_k_class[] = "__class__"; +static const char __pyx_k_error[] = "error"; +static const char __pyx_k_flags[] = "flags"; +static const char __pyx_k_numpy[] = "numpy"; +static const char __pyx_k_paths[] = "paths"; +static const char __pyx_k_range[] = "range"; +static const char __pyx_k_shape[] = "shape"; +static const char __pyx_k_start[] = "start"; +static const char __pyx_k_encode[] = "encode"; +static const char __pyx_k_format[] = "format"; +static const char __pyx_k_import[] = "__import__"; +static const char __pyx_k_name_2[] = "__name__"; +static const char __pyx_k_pickle[] = "pickle"; +static const char __pyx_k_reduce[] = "__reduce__"; +static const char __pyx_k_struct[] = "struct"; +static const char __pyx_k_unpack[] = "unpack"; +static const char __pyx_k_update[] = "update"; +static const char __pyx_k_values[] = "values"; +static const char __pyx_k_fortran[] = "fortran"; +static const char __pyx_k_memview[] = "memview"; +static const char __pyx_k_Ellipsis[] = "Ellipsis"; +static const char __pyx_k_getstate[] = "__getstate__"; +static const char __pyx_k_itemsize[] = "itemsize"; +static const char __pyx_k_pyx_type[] = "__pyx_type"; +static const char __pyx_k_setstate[] = "__setstate__"; +static const char __pyx_k_TypeError[] = "TypeError"; +static const char __pyx_k_enumerate[] = "enumerate"; +static const char __pyx_k_pyx_state[] = "__pyx_state"; +static const char __pyx_k_reduce_ex[] = "__reduce_ex__"; +static const char __pyx_k_IndexError[] = "IndexError"; +static const char __pyx_k_ValueError[] = "ValueError"; +static const char __pyx_k_pyx_result[] = "__pyx_result"; +static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; +static const char __pyx_k_ImportError[] = "ImportError"; +static const char __pyx_k_MemoryError[] = "MemoryError"; +static const char __pyx_k_PickleError[] = "PickleError"; +static const char __pyx_k_max_neg_val[] = "max_neg_val"; +static const char __pyx_k_RuntimeError[] = "RuntimeError"; +static const char __pyx_k_pyx_checksum[] = "__pyx_checksum"; +static const char __pyx_k_stringsource[] = "stringsource"; +static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer"; +static const char __pyx_k_reduce_cython[] = "__reduce_cython__"; +static const char __pyx_k_View_MemoryView[] = "View.MemoryView"; +static const char __pyx_k_allocate_buffer[] = "allocate_buffer"; +static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; +static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError"; +static const char __pyx_k_setstate_cython[] = "__setstate_cython__"; +static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum"; +static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; +static const char __pyx_k_strided_and_direct[] = ""; +static const char __pyx_k_strided_and_indirect[] = ""; +static const char __pyx_k_contiguous_and_direct[] = ""; +static const char __pyx_k_MemoryView_of_r_object[] = ""; +static const char __pyx_k_MemoryView_of_r_at_0x_x[] = ""; +static const char __pyx_k_contiguous_and_indirect[] = ""; +static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'"; +static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d."; +static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array"; +static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous"; +static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data."; +static const char __pyx_k_strided_and_direct_or_indirect[] = ""; +static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import"; +static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)"; +static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides"; +static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory."; +static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview"; +static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview"; +static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array"; +static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd"; +static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))"; +static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported"; +static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s"; +static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported"; +static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)"; +static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object"; +static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)"; +static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous"; +static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__"; +static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import"; +static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides."; +static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short."; +static PyObject *__pyx_n_s_ASCII; +static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri; +static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is; +static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor; +static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi; +static PyObject *__pyx_kp_s_Cannot_index_with_type_s; +static PyObject *__pyx_n_s_Ellipsis; +static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr; +static PyObject *__pyx_kp_u_Format_string_allocated_too_shor; +static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2; +static PyObject *__pyx_n_s_ImportError; +static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0; +static PyObject *__pyx_n_s_IndexError; +static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte; +static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr; +static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d; +static PyObject *__pyx_n_s_MemoryError; +static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x; +static PyObject *__pyx_kp_s_MemoryView_of_r_object; +static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor; +static PyObject *__pyx_n_b_O; +static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a; +static PyObject *__pyx_n_s_PickleError; +static PyObject *__pyx_n_s_RuntimeError; +static PyObject *__pyx_n_s_TypeError; +static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object; +static PyObject *__pyx_n_s_ValueError; +static PyObject *__pyx_n_s_View_MemoryView; +static PyObject *__pyx_n_s_allocate_buffer; +static PyObject *__pyx_n_s_base; +static PyObject *__pyx_n_s_c; +static PyObject *__pyx_n_u_c; +static PyObject *__pyx_n_s_class; +static PyObject *__pyx_n_s_cline_in_traceback; +static PyObject *__pyx_kp_s_contiguous_and_direct; +static PyObject *__pyx_kp_s_contiguous_and_indirect; +static PyObject *__pyx_n_s_dict; +static PyObject *__pyx_n_s_dtype_is_object; +static PyObject *__pyx_n_s_encode; +static PyObject *__pyx_n_s_enumerate; +static PyObject *__pyx_n_s_error; +static PyObject *__pyx_n_s_flags; +static PyObject *__pyx_n_s_format; +static PyObject *__pyx_n_s_fortran; +static PyObject *__pyx_n_u_fortran; +static PyObject *__pyx_n_s_getstate; +static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi; +static PyObject *__pyx_n_s_id; +static PyObject *__pyx_n_s_import; +static PyObject *__pyx_n_s_itemsize; +static PyObject *__pyx_kp_s_itemsize_0_for_cython_array; +static PyObject *__pyx_n_s_main; +static PyObject *__pyx_n_s_max_neg_val; +static PyObject *__pyx_n_s_memview; +static PyObject *__pyx_n_s_mode; +static PyObject *__pyx_n_s_name; +static PyObject *__pyx_n_s_name_2; +static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous; +static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou; +static PyObject *__pyx_n_s_ndim; +static PyObject *__pyx_n_s_new; +static PyObject *__pyx_kp_s_no_default___reduce___due_to_non; +static PyObject *__pyx_n_s_np; +static PyObject *__pyx_n_s_numpy; +static PyObject *__pyx_kp_s_numpy_core_multiarray_failed_to; +static PyObject *__pyx_kp_s_numpy_core_umath_failed_to_impor; +static PyObject *__pyx_n_s_obj; +static PyObject *__pyx_n_s_pack; +static PyObject *__pyx_n_s_paths; +static PyObject *__pyx_n_s_pickle; +static PyObject *__pyx_n_s_pyx_PickleError; +static PyObject *__pyx_n_s_pyx_checksum; +static PyObject *__pyx_n_s_pyx_getbuffer; +static PyObject *__pyx_n_s_pyx_result; +static PyObject *__pyx_n_s_pyx_state; +static PyObject *__pyx_n_s_pyx_type; +static PyObject *__pyx_n_s_pyx_unpickle_Enum; +static PyObject *__pyx_n_s_pyx_vtable; +static PyObject *__pyx_n_s_range; +static PyObject *__pyx_n_s_reduce; +static PyObject *__pyx_n_s_reduce_cython; +static PyObject *__pyx_n_s_reduce_ex; +static PyObject *__pyx_n_s_setstate; +static PyObject *__pyx_n_s_setstate_cython; +static PyObject *__pyx_n_s_shape; +static PyObject *__pyx_n_s_size; +static PyObject *__pyx_n_s_start; +static PyObject *__pyx_n_s_step; +static PyObject *__pyx_n_s_stop; +static PyObject *__pyx_kp_s_strided_and_direct; +static PyObject *__pyx_kp_s_strided_and_direct_or_indirect; +static PyObject *__pyx_kp_s_strided_and_indirect; +static PyObject *__pyx_kp_s_stringsource; +static PyObject *__pyx_n_s_struct; +static PyObject *__pyx_n_s_t_xs; +static PyObject *__pyx_n_s_t_ys; +static PyObject *__pyx_n_s_test; +static PyObject *__pyx_kp_s_unable_to_allocate_array_data; +static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str; +static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd; +static PyObject *__pyx_n_s_unpack; +static PyObject *__pyx_n_s_update; +static PyObject *__pyx_n_s_values; +static PyObject *__pyx_pf_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_c(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_paths, __Pyx_memviewslice __pyx_v_values, __Pyx_memviewslice __pyx_v_t_xs, __Pyx_memviewslice __pyx_v_t_ys, float __pyx_v_max_neg_val); /* proto */ +static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ +static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ +static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ +static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state); /* proto */ +static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_int_0; +static PyObject *__pyx_int_1; +static PyObject *__pyx_int_184977713; +static PyObject *__pyx_int_neg_1; +static float __pyx_k_; +static PyObject *__pyx_tuple__2; +static PyObject *__pyx_tuple__3; +static PyObject *__pyx_tuple__4; +static PyObject *__pyx_tuple__5; +static PyObject *__pyx_tuple__6; +static PyObject *__pyx_tuple__7; +static PyObject *__pyx_tuple__8; +static PyObject *__pyx_tuple__9; +static PyObject *__pyx_slice__23; +static PyObject *__pyx_tuple__10; +static PyObject *__pyx_tuple__11; +static PyObject *__pyx_tuple__12; +static PyObject *__pyx_tuple__13; +static PyObject *__pyx_tuple__14; +static PyObject *__pyx_tuple__15; +static PyObject *__pyx_tuple__16; +static PyObject *__pyx_tuple__17; +static PyObject *__pyx_tuple__18; +static PyObject *__pyx_tuple__19; +static PyObject *__pyx_tuple__20; +static PyObject *__pyx_tuple__21; +static PyObject *__pyx_tuple__22; +static PyObject *__pyx_tuple__24; +static PyObject *__pyx_tuple__25; +static PyObject *__pyx_tuple__26; +static PyObject *__pyx_tuple__27; +static PyObject *__pyx_tuple__28; +static PyObject *__pyx_tuple__29; +static PyObject *__pyx_tuple__30; +static PyObject *__pyx_tuple__31; +static PyObject *__pyx_tuple__32; +static PyObject *__pyx_codeobj__33; +/* Late includes */ + +/* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":9 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * cdef void maximum_path_each(int[:,::1] path, float[:,::1] value, int t_x, int t_y, float max_neg_val) nogil: # <<<<<<<<<<<<<< + * cdef int x + * cdef int y + */ + +static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_each(__Pyx_memviewslice __pyx_v_path, __Pyx_memviewslice __pyx_v_value, int __pyx_v_t_x, int __pyx_v_t_y, float __pyx_v_max_neg_val) { + int __pyx_v_x; + int __pyx_v_y; + float __pyx_v_v_prev; + float __pyx_v_v_cur; + int __pyx_v_index; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + long __pyx_t_4; + int __pyx_t_5; + long __pyx_t_6; + long __pyx_t_7; + int __pyx_t_8; + Py_ssize_t __pyx_t_9; + Py_ssize_t __pyx_t_10; + Py_ssize_t __pyx_t_11; + Py_ssize_t __pyx_t_12; + float __pyx_t_13; + float __pyx_t_14; + float __pyx_t_15; + Py_ssize_t __pyx_t_16; + Py_ssize_t __pyx_t_17; + Py_ssize_t __pyx_t_18; + Py_ssize_t __pyx_t_19; + Py_ssize_t __pyx_t_20; + Py_ssize_t __pyx_t_21; + int __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + Py_ssize_t __pyx_t_25; + Py_ssize_t __pyx_t_26; + + /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":15 + * cdef float v_cur + * cdef float tmp + * cdef int index = t_x - 1 # <<<<<<<<<<<<<< + * + * for y in range(t_y): + */ + __pyx_v_index = (__pyx_v_t_x - 1); + + /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":17 + * cdef int index = t_x - 1 + * + * for y in range(t_y): # <<<<<<<<<<<<<< + * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): + * if x == y: + */ + __pyx_t_1 = __pyx_v_t_y; + __pyx_t_2 = __pyx_t_1; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { + __pyx_v_y = __pyx_t_3; + + /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":18 + * + * for y in range(t_y): + * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): # <<<<<<<<<<<<<< + * if x == y: + * v_cur = max_neg_val + */ + __pyx_t_4 = (__pyx_v_y + 1); + __pyx_t_5 = __pyx_v_t_x; + if (((__pyx_t_4 < __pyx_t_5) != 0)) { + __pyx_t_6 = __pyx_t_4; + } else { + __pyx_t_6 = __pyx_t_5; + } + __pyx_t_4 = __pyx_t_6; + __pyx_t_5 = ((__pyx_v_t_x + __pyx_v_y) - __pyx_v_t_y); + __pyx_t_6 = 0; + if (((__pyx_t_5 > __pyx_t_6) != 0)) { + __pyx_t_7 = __pyx_t_5; + } else { + __pyx_t_7 = __pyx_t_6; + } + __pyx_t_6 = __pyx_t_4; + for (__pyx_t_5 = __pyx_t_7; __pyx_t_5 < __pyx_t_6; __pyx_t_5+=1) { + __pyx_v_x = __pyx_t_5; + + /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":19 + * for y in range(t_y): + * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): + * if x == y: # <<<<<<<<<<<<<< + * v_cur = max_neg_val + * else: + */ + __pyx_t_8 = ((__pyx_v_x == __pyx_v_y) != 0); + if (__pyx_t_8) { + + /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":20 + * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): + * if x == y: + * v_cur = max_neg_val # <<<<<<<<<<<<<< + * else: + * v_cur = value[x, y-1] + */ + __pyx_v_v_cur = __pyx_v_max_neg_val; + + /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":19 + * for y in range(t_y): + * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): + * if x == y: # <<<<<<<<<<<<<< + * v_cur = max_neg_val + * else: + */ + goto __pyx_L7; + } + + /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":22 + * v_cur = max_neg_val + * else: + * v_cur = value[x, y-1] # <<<<<<<<<<<<<< + * if x == 0: + * if y == 0: + */ + /*else*/ { + __pyx_t_9 = __pyx_v_x; + __pyx_t_10 = (__pyx_v_y - 1); + __pyx_v_v_cur = (*((float *) ( /* dim=1 */ ((char *) (((float *) ( /* dim=0 */ (__pyx_v_value.data + __pyx_t_9 * __pyx_v_value.strides[0]) )) + __pyx_t_10)) ))); + } + __pyx_L7:; + + /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":23 + * else: + * v_cur = value[x, y-1] + * if x == 0: # <<<<<<<<<<<<<< + * if y == 0: + * v_prev = 0. + */ + __pyx_t_8 = ((__pyx_v_x == 0) != 0); 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+ goto __pyx_L7_break; + + /* "View.MemoryView":1130 + * + * for i in range(ndim): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * f_stride = mslice.strides[i] + * break + */ + } + } + __pyx_L7_break:; + + /* "View.MemoryView":1134 + * break + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< + * return 'C' + * else: + */ + __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1135 + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): + * return 'C' # <<<<<<<<<<<<<< + * else: + * return 'F' + */ + __pyx_r = 'C'; + goto __pyx_L0; + + /* "View.MemoryView":1134 + * break + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< + * return 'C' + * else: + */ + } + + /* "View.MemoryView":1137 + * return 'C' + * else: + * return 'F' # <<<<<<<<<<<<<< + * + * @cython.cdivision(True) + */ + /*else*/ { + __pyx_r = 'F'; + goto __pyx_L0; + } + + /* 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+ int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + + /* "View.MemoryView":1147 + * + * cdef Py_ssize_t i + * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] + */ + __pyx_v_src_extent = (__pyx_v_src_shape[0]); + + /* "View.MemoryView":1148 + * cdef Py_ssize_t i + * cdef Py_ssize_t src_extent = src_shape[0] + * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t src_stride = src_strides[0] + * cdef Py_ssize_t dst_stride = dst_strides[0] + */ + __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); + + /* "View.MemoryView":1149 + * cdef Py_ssize_t src_extent = src_shape[0] + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + */ + __pyx_v_src_stride = (__pyx_v_src_strides[0]); + + /* "View.MemoryView":1150 + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] + * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< + * + * if ndim == 1: + */ + __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); + + /* "View.MemoryView":1152 + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): + */ + __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1153 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) + */ + __pyx_t_2 = ((__pyx_v_src_stride > 0) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L5_bool_binop_done; + } + __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L5_bool_binop_done; + } + + /* "View.MemoryView":1154 + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< + * memcpy(dst_data, src_data, itemsize * dst_extent) + * else: + */ + __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); + if (__pyx_t_2) { + __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); + } + __pyx_t_3 = (__pyx_t_2 != 0); + __pyx_t_1 = __pyx_t_3; + __pyx_L5_bool_binop_done:; + + /* "View.MemoryView":1153 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) + */ + if (__pyx_t_1) { + + /* "View.MemoryView":1155 + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< + * else: + * for i in range(dst_extent): + */ + (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent))); + + /* "View.MemoryView":1153 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) + */ + goto __pyx_L4; + } + + /* "View.MemoryView":1157 + * memcpy(dst_data, src_data, itemsize * dst_extent) + * else: + * for i in range(dst_extent): # <<<<<<<<<<<<<< + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride + */ + /*else*/ { + __pyx_t_4 = __pyx_v_dst_extent; + __pyx_t_5 = __pyx_t_4; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1158 + * else: + * for i in range(dst_extent): + * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< + * src_data += src_stride + * dst_data += dst_stride + */ + (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize)); + + /* "View.MemoryView":1159 + * for i in range(dst_extent): + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride # <<<<<<<<<<<<<< + * dst_data += dst_stride + * else: + */ + __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); + + /* "View.MemoryView":1160 + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride + * dst_data += dst_stride # <<<<<<<<<<<<<< + * else: + * for i in range(dst_extent): + */ + __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); + } + } + __pyx_L4:; + + /* "View.MemoryView":1152 + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1162 + * dst_data += dst_stride + * else: + * for i in range(dst_extent): # <<<<<<<<<<<<<< + * _copy_strided_to_strided(src_data, src_strides + 1, + * dst_data, dst_strides + 1, + */ + /*else*/ { + __pyx_t_4 = __pyx_v_dst_extent; + __pyx_t_5 = __pyx_t_4; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1163 + * else: + * for i in range(dst_extent): + * _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<< + * dst_data, dst_strides + 1, + * src_shape + 1, dst_shape + 1, + */ + _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); + + /* "View.MemoryView":1167 + * src_shape + 1, dst_shape + 1, + * ndim - 1, itemsize) + * src_data += src_stride # <<<<<<<<<<<<<< + * dst_data += dst_stride + * + */ + __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); + + /* "View.MemoryView":1168 + * ndim - 1, itemsize) + * src_data += src_stride + * dst_data += dst_stride # <<<<<<<<<<<<<< + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, + */ + __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); + } + } + __pyx_L3:; + + /* "View.MemoryView":1140 + * + * @cython.cdivision(True) + * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< + * char *dst_data, Py_ssize_t *dst_strides, + * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, + */ + + /* function exit code */ +} + +/* "View.MemoryView":1170 + * dst_data += dst_stride + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) nogil: + */ + +static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { + + /* "View.MemoryView":1173 + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) nogil: + * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<< + * src.shape, dst.shape, ndim, itemsize) + * + */ + _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); + + /* "View.MemoryView":1170 + * dst_data += dst_stride + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) nogil: + */ + + /* function exit code */ +} + +/* "View.MemoryView":1177 + * + * @cname('__pyx_memoryview_slice_get_size') + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< + * "Return the size of the memory occupied by the slice in number of bytes" + * cdef Py_ssize_t shape, size = src.memview.view.itemsize + */ + +static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) { + Py_ssize_t __pyx_v_shape; + Py_ssize_t __pyx_v_size; + Py_ssize_t __pyx_r; + Py_ssize_t __pyx_t_1; + Py_ssize_t *__pyx_t_2; + Py_ssize_t *__pyx_t_3; + Py_ssize_t *__pyx_t_4; + + /* "View.MemoryView":1179 + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: + * "Return the size of the memory occupied by the slice in number of bytes" + * cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<< + * + * for shape in src.shape[:ndim]: + */ + __pyx_t_1 = __pyx_v_src->memview->view.itemsize; + __pyx_v_size = __pyx_t_1; + + /* "View.MemoryView":1181 + * cdef Py_ssize_t shape, size = src.memview.view.itemsize + * + * for shape in src.shape[:ndim]: # <<<<<<<<<<<<<< + * size *= shape + * + */ + __pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim); + for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) { + __pyx_t_2 = __pyx_t_4; + __pyx_v_shape = (__pyx_t_2[0]); + + /* "View.MemoryView":1182 + * + * for shape in src.shape[:ndim]: + * size *= shape # <<<<<<<<<<<<<< + * + * return size + */ + __pyx_v_size = (__pyx_v_size * __pyx_v_shape); + } + + /* "View.MemoryView":1184 + * size *= shape + * + * return size # <<<<<<<<<<<<<< + * + * @cname('__pyx_fill_contig_strides_array') + */ + __pyx_r = __pyx_v_size; + goto __pyx_L0; + + /* "View.MemoryView":1177 + * + * @cname('__pyx_memoryview_slice_get_size') + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< + * "Return the size of the memory occupied by the slice in number of bytes" + * cdef Py_ssize_t shape, size = src.memview.view.itemsize + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1187 + * + * @cname('__pyx_fill_contig_strides_array') + * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< + * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, + * int ndim, char order) nogil: + */ + +static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) { + int __pyx_v_idx; + Py_ssize_t __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + + /* "View.MemoryView":1196 + * cdef int idx + * + * if order == 'F': # <<<<<<<<<<<<<< + * for idx in range(ndim): + * strides[idx] = stride + */ + __pyx_t_1 = ((__pyx_v_order == 'F') != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1197 + * + * if order == 'F': + * for idx in range(ndim): # <<<<<<<<<<<<<< + * strides[idx] = stride + * stride *= shape[idx] + */ + __pyx_t_2 = __pyx_v_ndim; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_idx = __pyx_t_4; + + /* "View.MemoryView":1198 + * if order == 'F': + * for idx in range(ndim): + * strides[idx] = stride # <<<<<<<<<<<<<< + * stride *= shape[idx] + * else: + */ + (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; + + /* "View.MemoryView":1199 + * for idx in range(ndim): + * strides[idx] = stride + * stride *= shape[idx] # <<<<<<<<<<<<<< + * else: + * for idx in range(ndim - 1, -1, -1): + */ + __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); + } + + /* "View.MemoryView":1196 + * cdef int idx + * + * if order == 'F': # <<<<<<<<<<<<<< + * for idx in range(ndim): + * strides[idx] = stride + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1201 + * stride *= shape[idx] + * else: + * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * strides[idx] = stride + * stride *= shape[idx] + */ + /*else*/ { + for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) { + __pyx_v_idx = __pyx_t_2; + + /* "View.MemoryView":1202 + * else: + * for idx in range(ndim - 1, -1, -1): + * strides[idx] = stride # <<<<<<<<<<<<<< + * stride *= shape[idx] + * + */ + (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; + + /* "View.MemoryView":1203 + * for idx in range(ndim - 1, -1, -1): + * strides[idx] = stride + * stride *= shape[idx] # <<<<<<<<<<<<<< + * + * return stride + */ + __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); + } + } + __pyx_L3:; + + /* "View.MemoryView":1205 + * stride *= shape[idx] + * + * return stride # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_copy_data_to_temp') + */ + __pyx_r = __pyx_v_stride; + goto __pyx_L0; + + /* "View.MemoryView":1187 + * + * @cname('__pyx_fill_contig_strides_array') + * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< + * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, + * int ndim, char order) nogil: + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1208 + * + * @cname('__pyx_memoryview_copy_data_to_temp') + * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *tmpslice, + * char order, + */ + +static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) { + int __pyx_v_i; + void *__pyx_v_result; + size_t __pyx_v_itemsize; + size_t __pyx_v_size; + void *__pyx_r; + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + struct __pyx_memoryview_obj *__pyx_t_4; + int __pyx_t_5; + int __pyx_t_6; + + /* "View.MemoryView":1219 + * cdef void *result + * + * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< + * cdef size_t size = slice_get_size(src, ndim) + * + */ + __pyx_t_1 = __pyx_v_src->memview->view.itemsize; + __pyx_v_itemsize = __pyx_t_1; + + /* "View.MemoryView":1220 + * + * cdef size_t itemsize = src.memview.view.itemsize + * cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<< + * + * result = malloc(size) + */ + __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim); + + /* "View.MemoryView":1222 + * cdef size_t size = slice_get_size(src, ndim) + * + * result = malloc(size) # <<<<<<<<<<<<<< + * if not result: + * _err(MemoryError, NULL) + */ + __pyx_v_result = malloc(__pyx_v_size); + + /* "View.MemoryView":1223 + * + * result = malloc(size) + * if not result: # <<<<<<<<<<<<<< + * _err(MemoryError, NULL) + * + */ + __pyx_t_2 = ((!(__pyx_v_result != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1224 + * result = malloc(size) + * if not result: + * _err(MemoryError, NULL) # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 1224, __pyx_L1_error) + + /* "View.MemoryView":1223 + * + * result = malloc(size) + * if not result: # <<<<<<<<<<<<<< + * _err(MemoryError, NULL) + * + */ + } + + /* "View.MemoryView":1227 + * + * + * tmpslice.data = result # <<<<<<<<<<<<<< + * tmpslice.memview = src.memview + * for i in range(ndim): + */ + __pyx_v_tmpslice->data = ((char *)__pyx_v_result); + + /* "View.MemoryView":1228 + * + * tmpslice.data = result + * tmpslice.memview = src.memview # <<<<<<<<<<<<<< + * for i in range(ndim): + * tmpslice.shape[i] = src.shape[i] + */ + __pyx_t_4 = __pyx_v_src->memview; + __pyx_v_tmpslice->memview = __pyx_t_4; + + /* "View.MemoryView":1229 + * tmpslice.data = result + * tmpslice.memview = src.memview + * for i in range(ndim): # <<<<<<<<<<<<<< + * tmpslice.shape[i] = src.shape[i] + * tmpslice.suboffsets[i] = -1 + */ + __pyx_t_3 = __pyx_v_ndim; + __pyx_t_5 = __pyx_t_3; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1230 + * tmpslice.memview = src.memview + * for i in range(ndim): + * tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<< + * tmpslice.suboffsets[i] = -1 + * + */ + (__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]); + + /* "View.MemoryView":1231 + * for i in range(ndim): + * tmpslice.shape[i] = src.shape[i] + * tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< + * + * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, + */ + (__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1L; + } + + /* "View.MemoryView":1233 + * tmpslice.suboffsets[i] = -1 + * + * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, # <<<<<<<<<<<<<< + * ndim, order) + * + */ + (void)(__pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order)); + + /* "View.MemoryView":1237 + * + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * if tmpslice.shape[i] == 1: + * tmpslice.strides[i] = 0 + */ + __pyx_t_3 = __pyx_v_ndim; + __pyx_t_5 = __pyx_t_3; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1238 + * + * for i in range(ndim): + * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< + * tmpslice.strides[i] = 0 + * + */ + __pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1239 + * for i in range(ndim): + * if tmpslice.shape[i] == 1: + * tmpslice.strides[i] = 0 # <<<<<<<<<<<<<< + * + * if slice_is_contig(src[0], order, ndim): + */ + (__pyx_v_tmpslice->strides[__pyx_v_i]) = 0; + + /* "View.MemoryView":1238 + * + * for i in range(ndim): + * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< + * tmpslice.strides[i] = 0 + * + */ + } + } + + /* "View.MemoryView":1241 + * tmpslice.strides[i] = 0 + * + * if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<< + * memcpy(result, src.data, size) + * else: + */ + __pyx_t_2 = (__pyx_memviewslice_is_contig((__pyx_v_src[0]), __pyx_v_order, __pyx_v_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1242 + * + * if slice_is_contig(src[0], order, ndim): + * memcpy(result, src.data, size) # <<<<<<<<<<<<<< + * else: + * copy_strided_to_strided(src, tmpslice, ndim, itemsize) + */ + (void)(memcpy(__pyx_v_result, __pyx_v_src->data, __pyx_v_size)); + + /* "View.MemoryView":1241 + * tmpslice.strides[i] = 0 + * + * if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<< + * memcpy(result, src.data, size) + * else: + */ + goto __pyx_L9; + } + + /* "View.MemoryView":1244 + * memcpy(result, src.data, size) + * else: + * copy_strided_to_strided(src, tmpslice, ndim, itemsize) # <<<<<<<<<<<<<< + * + * return result + */ + /*else*/ { + copy_strided_to_strided(__pyx_v_src, __pyx_v_tmpslice, __pyx_v_ndim, 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<<<<<<<<<<<<<< + * broadcasting = True + * src.strides[i] = 0 + */ + goto __pyx_L7; + } + + /* "View.MemoryView":1297 + * src.strides[i] = 0 + * else: + * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< + * + * if src.suboffsets[i] >= 0: + */ + /*else*/ { + __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1297, __pyx_L1_error) + } + __pyx_L7:; + + /* "View.MemoryView":1292 + * + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< + * if src.shape[i] == 1: + * broadcasting = True + */ + } + + /* "View.MemoryView":1299 + * _err_extents(i, dst.shape[i], src.shape[i]) + * + * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + */ + __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1300 + * + * if src.suboffsets[i] >= 0: + * _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< + * + * if slices_overlap(&src, &dst, ndim, itemsize): + */ + __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1300, __pyx_L1_error) + + /* "View.MemoryView":1299 + * _err_extents(i, dst.shape[i], src.shape[i]) + * + * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + */ + } + } + + /* "View.MemoryView":1302 + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< + * + * if not slice_is_contig(src, order, ndim): + */ + __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1304 + * if slices_overlap(&src, &dst, ndim, itemsize): + * + * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< + * order = get_best_order(&dst, ndim) + * + */ + __pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1305 + * + * if not slice_is_contig(src, order, ndim): + * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) + */ + __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); + + /* "View.MemoryView":1304 + * if slices_overlap(&src, &dst, ndim, itemsize): + * + * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< + * order = get_best_order(&dst, ndim) + * + */ + } + + /* "View.MemoryView":1307 + * order = get_best_order(&dst, ndim) + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< + * src = tmp + * + */ + __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(2, 1307, __pyx_L1_error) + __pyx_v_tmpdata = __pyx_t_7; + + /* "View.MemoryView":1308 + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) + * src = tmp # <<<<<<<<<<<<<< + * + * if not broadcasting: + */ + __pyx_v_src = __pyx_v_tmp; + + /* "View.MemoryView":1302 + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< + * + * if not slice_is_contig(src, order, ndim): + */ + } + + /* "View.MemoryView":1310 + * src = tmp + * + * if not broadcasting: # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1313 + * + * + * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): + */ + __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1314 + * + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<< + * elif slice_is_contig(src, 'F', ndim): + * direct_copy = slice_is_contig(dst, 'F', ndim) + */ + __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim); + + /* "View.MemoryView":1313 + * + * + * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): + */ + goto __pyx_L12; + } + + /* "View.MemoryView":1315 + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + */ + __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1316 + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): + * direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<< + * + * if direct_copy: + */ + __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim); + + /* "View.MemoryView":1315 + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + */ + } + __pyx_L12:; + + /* "View.MemoryView":1318 + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + * if direct_copy: # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + */ + __pyx_t_2 = (__pyx_v_direct_copy != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1320 + * if direct_copy: + * + * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, True) + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1321 + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< + * refcount_copying(&dst, dtype_is_object, ndim, True) + * free(tmpdata) + */ + (void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim))); + + /* "View.MemoryView":1322 + * refcount_copying(&dst, dtype_is_object, ndim, False) + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< + * free(tmpdata) + * return 0 + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1323 + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, True) + * free(tmpdata) # <<<<<<<<<<<<<< + * return 0 + * + */ + free(__pyx_v_tmpdata); + + /* "View.MemoryView":1324 + * refcount_copying(&dst, dtype_is_object, ndim, True) + * free(tmpdata) + * return 0 # <<<<<<<<<<<<<< + * + * if order == 'F' == get_best_order(&dst, ndim): + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":1318 + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + * if direct_copy: # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + */ + } + + /* "View.MemoryView":1310 + * src = tmp + * + * if not broadcasting: # <<<<<<<<<<<<<< + * + * + */ + } + + /* "View.MemoryView":1326 + * return 0 + * + * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = (__pyx_v_order == 'F'); + if (__pyx_t_2) { + __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim)); + } + __pyx_t_8 = (__pyx_t_2 != 0); + if (__pyx_t_8) { + + /* "View.MemoryView":1329 + * + * + * transpose_memslice(&src) # <<<<<<<<<<<<<< + * transpose_memslice(&dst) + * + */ + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1329, __pyx_L1_error) + + /* "View.MemoryView":1330 + * + * transpose_memslice(&src) + * transpose_memslice(&dst) # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + */ + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1330, __pyx_L1_error) + + /* "View.MemoryView":1326 + * return 0 + * + * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< + * + * + */ + } + + /* "View.MemoryView":1332 + * transpose_memslice(&dst) + * + * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< + * copy_strided_to_strided(&src, &dst, ndim, itemsize) + * refcount_copying(&dst, dtype_is_object, ndim, True) + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1333 + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< + * refcount_copying(&dst, dtype_is_object, ndim, True) + * + */ + copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); + + /* "View.MemoryView":1334 + * refcount_copying(&dst, dtype_is_object, ndim, False) + * copy_strided_to_strided(&src, &dst, ndim, itemsize) + * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< + * + * free(tmpdata) + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1336 + * refcount_copying(&dst, dtype_is_object, ndim, True) + * + * free(tmpdata) # <<<<<<<<<<<<<< + * return 0 + * + */ + free(__pyx_v_tmpdata); + + /* "View.MemoryView":1337 + * + * free(tmpdata) + * return 0 # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_broadcast_leading') + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":1268 + * + * @cname('__pyx_memoryview_copy_contents') + * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice dst, + * int src_ndim, int dst_ndim, + */ + + /* function exit code */ + __pyx_L1_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_r = -1; + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1340 + * + * @cname('__pyx_memoryview_broadcast_leading') + * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< + * int ndim, + * int ndim_other) nogil: + */ + +static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) { + int __pyx_v_i; + int __pyx_v_offset; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + + /* "View.MemoryView":1344 + * int ndim_other) nogil: + * cdef int i + * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< + * + * for i in range(ndim - 1, -1, -1): + */ + __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); + + /* "View.MemoryView":1346 + * cdef int offset = ndim_other - ndim + * + * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] + */ + for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { + __pyx_v_i = __pyx_t_1; + + /* "View.MemoryView":1347 + * + * for i in range(ndim - 1, -1, -1): + * mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<< + * mslice.strides[i + offset] = mslice.strides[i] + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + */ + (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]); + + /* "View.MemoryView":1348 + * for i in range(ndim - 1, -1, -1): + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<< + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + * + */ + (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1349 + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<< + * + * for i in range(offset): + */ + (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]); + } + + /* "View.MemoryView":1351 + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + * + * for i in range(offset): # <<<<<<<<<<<<<< + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] + */ + __pyx_t_1 = __pyx_v_offset; + __pyx_t_2 = __pyx_t_1; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1352 + * + * for i in range(offset): + * mslice.shape[i] = 1 # <<<<<<<<<<<<<< + * mslice.strides[i] = mslice.strides[0] + * mslice.suboffsets[i] = -1 + */ + (__pyx_v_mslice->shape[__pyx_v_i]) = 1; + + /* "View.MemoryView":1353 + * for i in range(offset): + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<< + * mslice.suboffsets[i] = -1 + * + */ + (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]); + + /* "View.MemoryView":1354 + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] + * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< + * + * + */ + (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L; + } + + /* "View.MemoryView":1340 + * + * @cname('__pyx_memoryview_broadcast_leading') + * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< + * int ndim, + * int ndim_other) nogil: + */ + + /* function exit code */ +} + +/* "View.MemoryView":1362 + * + * @cname('__pyx_memoryview_refcount_copying') + * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< + * int ndim, bint inc) nogil: + * + */ + +static void 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(struct __pyx_MemviewEnum_obj *)o; + if (p->name) { + e = (*v)(p->name, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear_Enum(PyObject *o) { + PyObject* tmp; + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; + tmp = ((PyObject*)p->name); + p->name = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + return 0; +} + +static PyMethodDef __pyx_methods_Enum[] = { + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static PyTypeObject __pyx_type___pyx_MemviewEnum = { + PyVarObject_HEAD_INIT(0, 0) + "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core.Enum", /*tp_name*/ + sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_Enum, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + __pyx_MemviewEnum___repr__, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + 0, /*tp_doc*/ + __pyx_tp_traverse_Enum, /*tp_traverse*/ + __pyx_tp_clear_Enum, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_Enum, /*tp_methods*/ + 0, /*tp_members*/ + 0, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + __pyx_MemviewEnum___init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_Enum, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; +static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; + +static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_memoryview_obj *p; + PyObject *o; + if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { + o = (*t->tp_alloc)(t, 0); + } else { + o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); + } + if (unlikely(!o)) return 0; + p = ((struct __pyx_memoryview_obj *)o); + p->__pyx_vtab = __pyx_vtabptr_memoryview; + p->obj = Py_None; Py_INCREF(Py_None); + p->_size = Py_None; Py_INCREF(Py_None); + p->_array_interface = Py_None; Py_INCREF(Py_None); + p->view.obj = NULL; + if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad; + return o; + bad: + Py_DECREF(o); o = 0; + return NULL; +} + +static void __pyx_tp_dealloc_memoryview(PyObject *o) { + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + #endif + PyObject_GC_UnTrack(o); + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + ++Py_REFCNT(o); + __pyx_memoryview___dealloc__(o); + --Py_REFCNT(o); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->obj); + Py_CLEAR(p->_size); + Py_CLEAR(p->_array_interface); + (*Py_TYPE(o)->tp_free)(o); +} + +static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + if (p->obj) { + e = (*v)(p->obj, a); if (e) return e; + } + if (p->_size) { + e = (*v)(p->_size, a); if (e) return e; + } + if (p->_array_interface) { + e = (*v)(p->_array_interface, a); if (e) return e; + } + if (p->view.obj) { + e = (*v)(p->view.obj, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear_memoryview(PyObject *o) { + PyObject* tmp; + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + tmp = ((PyObject*)p->obj); + p->obj = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + tmp = ((PyObject*)p->_size); + p->_size = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + tmp = ((PyObject*)p->_array_interface); + p->_array_interface = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + Py_CLEAR(p->view.obj); + return 0; +} +static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { + PyObject *r; + PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; + r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); + Py_DECREF(x); + return r; +} + +static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { + if (v) { + return __pyx_memoryview___setitem__(o, i, v); + } + else { + PyErr_Format(PyExc_NotImplementedError, + "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name); + return -1; + } +} + +static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o); +} + +static PyMethodDef __pyx_methods_memoryview[] = { + {"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0}, + {"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0}, + {"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0}, + {"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0}, + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_memoryview[] = { + {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0}, + {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0}, + {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0}, + {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0}, + {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0}, + {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0}, + {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0}, + {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0}, + {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0}, + {0, 0, 0, 0, 0} +}; + +static PySequenceMethods __pyx_tp_as_sequence_memoryview = { + __pyx_memoryview___len__, /*sq_length*/ + 0, /*sq_concat*/ + 0, /*sq_repeat*/ + __pyx_sq_item_memoryview, /*sq_item*/ + 0, /*sq_slice*/ + 0, /*sq_ass_item*/ + 0, /*sq_ass_slice*/ + 0, /*sq_contains*/ + 0, /*sq_inplace_concat*/ + 0, /*sq_inplace_repeat*/ +}; + +static PyMappingMethods __pyx_tp_as_mapping_memoryview = { + __pyx_memoryview___len__, /*mp_length*/ + __pyx_memoryview___getitem__, /*mp_subscript*/ + __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/ +}; + +static PyBufferProcs __pyx_tp_as_buffer_memoryview = { + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getreadbuffer*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getwritebuffer*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getsegcount*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getcharbuffer*/ + #endif + __pyx_memoryview_getbuffer, /*bf_getbuffer*/ + 0, /*bf_releasebuffer*/ +}; + +static PyTypeObject __pyx_type___pyx_memoryview = { + PyVarObject_HEAD_INIT(0, 0) + "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core.memoryview", /*tp_name*/ + sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + __pyx_memoryview___repr__, /*tp_repr*/ + 0, /*tp_as_number*/ + &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ + &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + __pyx_memoryview___str__, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + 0, /*tp_doc*/ + __pyx_tp_traverse_memoryview, /*tp_traverse*/ + __pyx_tp_clear_memoryview, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_memoryview, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_memoryview, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + 0, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_memoryview, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; +static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice; + +static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_memoryviewslice_obj *p; + PyObject *o = __pyx_tp_new_memoryview(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_memoryviewslice_obj *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice; + p->from_object = Py_None; Py_INCREF(Py_None); + p->from_slice.memview = NULL; + return o; +} + +static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) { + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + #endif + PyObject_GC_UnTrack(o); + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + ++Py_REFCNT(o); + __pyx_memoryviewslice___dealloc__(o); + --Py_REFCNT(o); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->from_object); + PyObject_GC_Track(o); + __pyx_tp_dealloc_memoryview(o); +} + +static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e; + if (p->from_object) { + e = (*v)(p->from_object, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear__memoryviewslice(PyObject *o) { + PyObject* tmp; + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + __pyx_tp_clear_memoryview(o); + tmp = ((PyObject*)p->from_object); + p->from_object = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + __PYX_XDEC_MEMVIEW(&p->from_slice, 1); + return 0; +} + +static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o); +} + +static PyMethodDef __pyx_methods__memoryviewslice[] = { + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = { + {(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0}, + {0, 0, 0, 0, 0} +}; + +static PyTypeObject __pyx_type___pyx_memoryviewslice = { + PyVarObject_HEAD_INIT(0, 0) + "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core._memoryviewslice", /*tp_name*/ + sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + #if CYTHON_COMPILING_IN_PYPY + __pyx_memoryview___repr__, /*tp_repr*/ + #else + 0, /*tp_repr*/ + #endif + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + #if CYTHON_COMPILING_IN_PYPY + __pyx_memoryview___str__, /*tp_str*/ + #else + 0, /*tp_str*/ + #endif + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + "Internal class for passing memoryview slices to Python", /*tp_doc*/ + __pyx_tp_traverse__memoryviewslice, /*tp_traverse*/ + __pyx_tp_clear__memoryviewslice, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods__memoryviewslice, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets__memoryviewslice, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + 0, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new__memoryviewslice, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; + +static PyMethodDef __pyx_methods[] = { + {"maximum_path_c", 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+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_pyx_unpickle_Enum, __pyx_t_1) < 0) __PYX_ERR(2, 1, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "(tree fragment)":11 + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<< + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + */ + + /*--- Wrapped vars code ---*/ + + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + if (__pyx_m) { + if (__pyx_d) { + __Pyx_AddTraceback("init mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core", __pyx_clineno, __pyx_lineno, __pyx_filename); + } + Py_CLEAR(__pyx_m); + } else if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_ImportError, "init mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core"); + } + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + #if CYTHON_PEP489_MULTI_PHASE_INIT + return (__pyx_m != NULL) ? 0 : -1; + #elif PY_MAJOR_VERSION >= 3 + return __pyx_m; + #else + return; + #endif +} + +/* --- Runtime support code --- */ +/* Refnanny */ +#if CYTHON_REFNANNY +static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) { + PyObject *m = NULL, *p = NULL; + void *r = NULL; + m = PyImport_ImportModule(modname); + if (!m) goto end; + p = PyObject_GetAttrString(m, "RefNannyAPI"); + if (!p) goto end; + r = PyLong_AsVoidPtr(p); +end: + Py_XDECREF(p); + Py_XDECREF(m); + return (__Pyx_RefNannyAPIStruct *)r; +} +#endif + +/* PyObjectGetAttrStr */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { + PyTypeObject* tp = Py_TYPE(obj); + if (likely(tp->tp_getattro)) + return tp->tp_getattro(obj, attr_name); +#if PY_MAJOR_VERSION < 3 + if (likely(tp->tp_getattr)) + return tp->tp_getattr(obj, PyString_AS_STRING(attr_name)); +#endif + return PyObject_GetAttr(obj, attr_name); +} +#endif + +/* GetBuiltinName */ +static PyObject *__Pyx_GetBuiltinName(PyObject *name) { + PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name); + if (unlikely(!result)) { + PyErr_Format(PyExc_NameError, +#if PY_MAJOR_VERSION >= 3 + "name '%U' is not defined", name); +#else + "name '%.200s' is not defined", PyString_AS_STRING(name)); +#endif + } + return result; +} + +/* MemviewSliceInit */ +static int +__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, + int ndim, + __Pyx_memviewslice *memviewslice, + int memview_is_new_reference) +{ + __Pyx_RefNannyDeclarations + int i, retval=-1; + Py_buffer *buf = &memview->view; + __Pyx_RefNannySetupContext("init_memviewslice", 0); + if (memviewslice->memview || memviewslice->data) { + PyErr_SetString(PyExc_ValueError, + "memviewslice is already initialized!"); + goto fail; + } + if (buf->strides) { + for (i = 0; i < ndim; i++) { + memviewslice->strides[i] = buf->strides[i]; + } + } else { + Py_ssize_t stride = buf->itemsize; + for (i = ndim - 1; i >= 0; i--) { + memviewslice->strides[i] = stride; + stride *= buf->shape[i]; + } + } + for (i = 0; i < ndim; i++) { + memviewslice->shape[i] = buf->shape[i]; + if (buf->suboffsets) { + memviewslice->suboffsets[i] = buf->suboffsets[i]; + } else { + memviewslice->suboffsets[i] = -1; + } + } + memviewslice->memview = memview; + memviewslice->data = (char *)buf->buf; + if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { + Py_INCREF(memview); + } + retval = 0; + goto no_fail; +fail: + memviewslice->memview = 0; + memviewslice->data = 0; + retval = -1; +no_fail: + __Pyx_RefNannyFinishContext(); + return retval; +} +#ifndef Py_NO_RETURN +#define Py_NO_RETURN +#endif +static void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN { + va_list vargs; + char msg[200]; +#ifdef HAVE_STDARG_PROTOTYPES + va_start(vargs, fmt); +#else + va_start(vargs); +#endif + vsnprintf(msg, 200, fmt, vargs); + va_end(vargs); + Py_FatalError(msg); +} +static CYTHON_INLINE int +__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count, + PyThread_type_lock lock) +{ + int result; + PyThread_acquire_lock(lock, 1); + result = (*acquisition_count)++; + PyThread_release_lock(lock); + return result; +} +static CYTHON_INLINE int +__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count, + PyThread_type_lock lock) +{ + int result; + PyThread_acquire_lock(lock, 1); + result = (*acquisition_count)--; + PyThread_release_lock(lock); + return result; +} +static CYTHON_INLINE void +__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) +{ + int first_time; + struct __pyx_memoryview_obj *memview = memslice->memview; + if (!memview || (PyObject *) memview == Py_None) + return; + if (__pyx_get_slice_count(memview) < 0) + __pyx_fatalerror("Acquisition count is %d (line %d)", + __pyx_get_slice_count(memview), lineno); + first_time = __pyx_add_acquisition_count(memview) == 0; + if (first_time) { + if (have_gil) { + Py_INCREF((PyObject *) memview); + } else { + PyGILState_STATE _gilstate = PyGILState_Ensure(); + Py_INCREF((PyObject *) memview); + PyGILState_Release(_gilstate); + } + } +} +static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice, + int have_gil, int lineno) { + int last_time; + struct __pyx_memoryview_obj *memview = memslice->memview; + if (!memview ) { + return; + } else if ((PyObject *) memview == Py_None) { + memslice->memview = NULL; + return; + } + if (__pyx_get_slice_count(memview) <= 0) + __pyx_fatalerror("Acquisition count is %d (line %d)", + __pyx_get_slice_count(memview), lineno); + last_time = __pyx_sub_acquisition_count(memview) == 1; + memslice->data = NULL; + if (last_time) { + if (have_gil) { + Py_CLEAR(memslice->memview); + } else { + PyGILState_STATE _gilstate = PyGILState_Ensure(); + Py_CLEAR(memslice->memview); + PyGILState_Release(_gilstate); + } + } else { + memslice->memview = NULL; + } +} + +/* PyErrFetchRestore */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + tmp_type = tstate->curexc_type; + tmp_value = tstate->curexc_value; + tmp_tb = tstate->curexc_traceback; + tstate->curexc_type = type; + tstate->curexc_value = value; + tstate->curexc_traceback = tb; + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +} +static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + *type = tstate->curexc_type; + *value = tstate->curexc_value; + *tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; +} +#endif + +/* WriteUnraisableException */ +static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, + CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename, + int full_traceback, CYTHON_UNUSED int nogil) { + PyObject *old_exc, *old_val, *old_tb; + PyObject *ctx; + __Pyx_PyThreadState_declare +#ifdef WITH_THREAD + PyGILState_STATE state; + if (nogil) + state = PyGILState_Ensure(); +#ifdef _MSC_VER + else state = (PyGILState_STATE)-1; +#endif +#endif + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&old_exc, &old_val, &old_tb); + if (full_traceback) { + Py_XINCREF(old_exc); + Py_XINCREF(old_val); + Py_XINCREF(old_tb); + __Pyx_ErrRestore(old_exc, old_val, old_tb); + PyErr_PrintEx(1); + } + #if PY_MAJOR_VERSION < 3 + ctx = PyString_FromString(name); + #else + ctx = PyUnicode_FromString(name); + #endif + __Pyx_ErrRestore(old_exc, old_val, old_tb); + if (!ctx) { + PyErr_WriteUnraisable(Py_None); + } else { + PyErr_WriteUnraisable(ctx); + Py_DECREF(ctx); + } +#ifdef WITH_THREAD + if (nogil) + PyGILState_Release(state); +#endif +} + +/* RaiseArgTupleInvalid */ +static void __Pyx_RaiseArgtupleInvalid( + const char* func_name, + int exact, + Py_ssize_t num_min, + Py_ssize_t num_max, + Py_ssize_t num_found) +{ + Py_ssize_t num_expected; + const char *more_or_less; + if (num_found < num_min) { + num_expected = num_min; + more_or_less = "at least"; + } else { + num_expected = num_max; + more_or_less = "at most"; + } + if (exact) { + more_or_less = "exactly"; + } + PyErr_Format(PyExc_TypeError, + "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)", + func_name, more_or_less, num_expected, + (num_expected == 1) ? "" : "s", num_found); +} + +/* RaiseDoubleKeywords */ +static void __Pyx_RaiseDoubleKeywordsError( + const char* func_name, + PyObject* kw_name) +{ + PyErr_Format(PyExc_TypeError, + #if PY_MAJOR_VERSION >= 3 + "%s() got multiple values for keyword argument '%U'", func_name, kw_name); + #else + "%s() got multiple values for keyword argument '%s'", func_name, + PyString_AsString(kw_name)); + #endif +} + +/* ParseKeywords */ +static int __Pyx_ParseOptionalKeywords( + PyObject *kwds, + PyObject **argnames[], + PyObject *kwds2, + PyObject *values[], + Py_ssize_t num_pos_args, + const char* function_name) +{ + PyObject *key = 0, *value = 0; + Py_ssize_t pos = 0; + PyObject*** name; + PyObject*** first_kw_arg = argnames + num_pos_args; + while (PyDict_Next(kwds, &pos, &key, &value)) { + name = first_kw_arg; + while (*name && (**name != key)) name++; + if (*name) { + values[name-argnames] = value; + continue; + } + name = first_kw_arg; + #if PY_MAJOR_VERSION < 3 + if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) { + while (*name) { + if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) + && _PyString_Eq(**name, key)) { + values[name-argnames] = value; + break; + } + name++; + } + if (*name) continue; + else { + PyObject*** argname = argnames; + while (argname != first_kw_arg) { + if ((**argname == key) || ( + (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) + && _PyString_Eq(**argname, key))) { + goto arg_passed_twice; + } + argname++; + } + } + } else + #endif + if (likely(PyUnicode_Check(key))) { + while (*name) { + int cmp = (**name == key) ? 0 : + #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 + (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : + #endif + PyUnicode_Compare(**name, key); + if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; + if (cmp == 0) { + values[name-argnames] = value; + break; + } + name++; + } + if (*name) continue; + else { + PyObject*** argname = argnames; + while (argname != first_kw_arg) { + int cmp = (**argname == key) ? 0 : + #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 + (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : + #endif + PyUnicode_Compare(**argname, key); + if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; + if (cmp == 0) goto arg_passed_twice; + argname++; + } + } + } else + goto invalid_keyword_type; + if (kwds2) { + if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; + } else { + goto invalid_keyword; + } + } + return 0; +arg_passed_twice: + __Pyx_RaiseDoubleKeywordsError(function_name, key); + goto bad; +invalid_keyword_type: + PyErr_Format(PyExc_TypeError, + "%.200s() keywords must be strings", function_name); + goto bad; +invalid_keyword: + PyErr_Format(PyExc_TypeError, + #if PY_MAJOR_VERSION < 3 + "%.200s() got an unexpected keyword argument '%.200s'", + function_name, PyString_AsString(key)); + #else + "%s() got an unexpected keyword argument '%U'", + function_name, key); + #endif +bad: + return -1; +} + +/* None */ +static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { + PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); +} + +/* PyObjectCall */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { + PyObject *result; + ternaryfunc call = func->ob_type->tp_call; + if (unlikely(!call)) + return PyObject_Call(func, arg, kw); + if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) + return NULL; + result = (*call)(func, arg, kw); + Py_LeaveRecursiveCall(); + if (unlikely(!result) && unlikely(!PyErr_Occurred())) { + PyErr_SetString( + PyExc_SystemError, + "NULL result without error in PyObject_Call"); + } + return result; +} +#endif + +/* RaiseException */ +#if PY_MAJOR_VERSION < 3 +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, + CYTHON_UNUSED PyObject *cause) { + __Pyx_PyThreadState_declare + Py_XINCREF(type); + if (!value || value == Py_None) + value = NULL; + else + Py_INCREF(value); + if (!tb || tb == Py_None) + tb = NULL; + else { + Py_INCREF(tb); + if (!PyTraceBack_Check(tb)) { + PyErr_SetString(PyExc_TypeError, + "raise: arg 3 must be a traceback or None"); + goto raise_error; + } + } + if (PyType_Check(type)) { +#if CYTHON_COMPILING_IN_PYPY + if (!value) { + Py_INCREF(Py_None); + value = Py_None; + } +#endif + PyErr_NormalizeException(&type, &value, &tb); + } else { + if (value) { + PyErr_SetString(PyExc_TypeError, + "instance exception may not have a separate value"); + goto raise_error; + } + value = type; + type = (PyObject*) Py_TYPE(type); + Py_INCREF(type); + if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { + PyErr_SetString(PyExc_TypeError, + "raise: exception class must be a subclass of BaseException"); + goto raise_error; + } + } + __Pyx_PyThreadState_assign + __Pyx_ErrRestore(type, value, tb); + return; +raise_error: + Py_XDECREF(value); + Py_XDECREF(type); + Py_XDECREF(tb); + return; +} +#else +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { + PyObject* owned_instance = NULL; + if (tb == Py_None) { + tb = 0; + } else if (tb && !PyTraceBack_Check(tb)) { + PyErr_SetString(PyExc_TypeError, + "raise: arg 3 must be a traceback or None"); + goto bad; + } + if (value == Py_None) + value = 0; + if (PyExceptionInstance_Check(type)) { + if (value) { + PyErr_SetString(PyExc_TypeError, + "instance exception may not have a separate value"); + goto bad; + } + value = type; + type = (PyObject*) Py_TYPE(value); + } else if (PyExceptionClass_Check(type)) { + PyObject *instance_class = NULL; + if (value && PyExceptionInstance_Check(value)) { + instance_class = (PyObject*) Py_TYPE(value); + if (instance_class != type) { + int is_subclass = PyObject_IsSubclass(instance_class, type); + if (!is_subclass) { + instance_class = NULL; + } else if (unlikely(is_subclass == -1)) { + goto bad; + } else { + type = instance_class; + } + } + } + if (!instance_class) { + PyObject *args; + if (!value) + args = PyTuple_New(0); + else if (PyTuple_Check(value)) { + Py_INCREF(value); + args = value; + } else + args = PyTuple_Pack(1, value); + if (!args) + goto bad; + owned_instance = PyObject_Call(type, args, NULL); + Py_DECREF(args); + if (!owned_instance) + goto bad; + value = owned_instance; + if (!PyExceptionInstance_Check(value)) { + PyErr_Format(PyExc_TypeError, + "calling %R should have returned an instance of " + "BaseException, not %R", + type, Py_TYPE(value)); + goto bad; + } + } + } else { + PyErr_SetString(PyExc_TypeError, + "raise: exception class must be a subclass of BaseException"); + goto bad; + } + if (cause) { + PyObject *fixed_cause; + if (cause == Py_None) { + fixed_cause = NULL; + } else if (PyExceptionClass_Check(cause)) { + fixed_cause = PyObject_CallObject(cause, NULL); + if (fixed_cause == NULL) + goto bad; + } else if (PyExceptionInstance_Check(cause)) { + fixed_cause = cause; + Py_INCREF(fixed_cause); + } else { + PyErr_SetString(PyExc_TypeError, + "exception causes must derive from " + "BaseException"); + goto bad; + } + PyException_SetCause(value, fixed_cause); + } + PyErr_SetObject(type, value); + if (tb) { +#if CYTHON_COMPILING_IN_PYPY + PyObject *tmp_type, *tmp_value, *tmp_tb; + PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); + Py_INCREF(tb); + PyErr_Restore(tmp_type, tmp_value, tb); + Py_XDECREF(tmp_tb); +#else + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject* tmp_tb = tstate->curexc_traceback; + if (tb != tmp_tb) { + Py_INCREF(tb); + tstate->curexc_traceback = tb; + Py_XDECREF(tmp_tb); + } +#endif + } +bad: + Py_XDECREF(owned_instance); + return; +} +#endif + +/* PyCFunctionFastCall */ +#if CYTHON_FAST_PYCCALL +static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) { + PyCFunctionObject *func = (PyCFunctionObject*)func_obj; + PyCFunction meth = PyCFunction_GET_FUNCTION(func); + PyObject *self = PyCFunction_GET_SELF(func); + int flags = PyCFunction_GET_FLAGS(func); + assert(PyCFunction_Check(func)); + assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))); + assert(nargs >= 0); + assert(nargs == 0 || args != NULL); + /* _PyCFunction_FastCallDict() must not be called with an exception set, + because it may clear it (directly or indirectly) and so the + caller loses its exception */ + assert(!PyErr_Occurred()); + if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) { + return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL); + } else { + return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs); + } +} +#endif + +/* PyFunctionFastCall */ +#if CYTHON_FAST_PYCALL +static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, + PyObject *globals) { + PyFrameObject *f; + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject **fastlocals; + Py_ssize_t i; + PyObject *result; + assert(globals != NULL); + /* XXX Perhaps we should create a specialized + PyFrame_New() that doesn't take locals, but does + take builtins without sanity checking them. + */ + assert(tstate != NULL); + f = PyFrame_New(tstate, co, globals, NULL); + if (f == NULL) { + return NULL; + } + fastlocals = __Pyx_PyFrame_GetLocalsplus(f); + for (i = 0; i < na; i++) { + Py_INCREF(*args); + fastlocals[i] = *args++; + } + result = PyEval_EvalFrameEx(f,0); + ++tstate->recursion_depth; + Py_DECREF(f); + --tstate->recursion_depth; + return result; +} +#if 1 || PY_VERSION_HEX < 0x030600B1 +static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) { + PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); + PyObject *globals = PyFunction_GET_GLOBALS(func); + PyObject *argdefs = PyFunction_GET_DEFAULTS(func); + PyObject *closure; +#if PY_MAJOR_VERSION >= 3 + PyObject *kwdefs; +#endif + PyObject *kwtuple, **k; + PyObject **d; + Py_ssize_t nd; + Py_ssize_t nk; + PyObject *result; + assert(kwargs == NULL || PyDict_Check(kwargs)); + nk = kwargs ? PyDict_Size(kwargs) : 0; + if (Py_EnterRecursiveCall((char*)" while calling a Python object")) { + return NULL; + } + if ( +#if PY_MAJOR_VERSION >= 3 + co->co_kwonlyargcount == 0 && +#endif + likely(kwargs == NULL || nk == 0) && + co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { + if (argdefs == NULL && co->co_argcount == nargs) { + result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals); + goto done; + } + else if (nargs == 0 && argdefs != NULL + && co->co_argcount == Py_SIZE(argdefs)) { + /* function called with no arguments, but all parameters have + a default value: use default values as arguments .*/ + args = &PyTuple_GET_ITEM(argdefs, 0); + result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals); + goto done; + } + } + if (kwargs != NULL) { + Py_ssize_t pos, i; + kwtuple = PyTuple_New(2 * nk); + if (kwtuple == NULL) { + result = NULL; + goto done; + } + k = &PyTuple_GET_ITEM(kwtuple, 0); + pos = i = 0; + while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { + Py_INCREF(k[i]); + Py_INCREF(k[i+1]); + i += 2; + } + nk = i / 2; + } + else { + kwtuple = NULL; + k = NULL; + } + closure = PyFunction_GET_CLOSURE(func); +#if PY_MAJOR_VERSION >= 3 + kwdefs = PyFunction_GET_KW_DEFAULTS(func); +#endif + if (argdefs != NULL) { + d = &PyTuple_GET_ITEM(argdefs, 0); + nd = Py_SIZE(argdefs); + } + else { + d = NULL; + nd = 0; + } +#if PY_MAJOR_VERSION >= 3 + result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL, + args, (int)nargs, + k, (int)nk, + d, (int)nd, kwdefs, closure); +#else + result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL, + args, (int)nargs, + k, (int)nk, + d, (int)nd, closure); +#endif + Py_XDECREF(kwtuple); +done: + Py_LeaveRecursiveCall(); + return result; +} +#endif +#endif + +/* PyObjectCallMethO */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { + PyObject *self, *result; + PyCFunction cfunc; + cfunc = PyCFunction_GET_FUNCTION(func); + self = PyCFunction_GET_SELF(func); + if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) + return NULL; + result = cfunc(self, arg); + Py_LeaveRecursiveCall(); + if (unlikely(!result) && unlikely(!PyErr_Occurred())) { + PyErr_SetString( + PyExc_SystemError, + "NULL result without error in PyObject_Call"); + } + return result; +} +#endif + +/* PyObjectCallOneArg */ +#if CYTHON_COMPILING_IN_CPYTHON +static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { + PyObject *result; + PyObject *args = PyTuple_New(1); + if (unlikely(!args)) return NULL; + Py_INCREF(arg); + PyTuple_SET_ITEM(args, 0, arg); + result = __Pyx_PyObject_Call(func, args, NULL); + Py_DECREF(args); + return result; +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { +#if CYTHON_FAST_PYCALL + if (PyFunction_Check(func)) { + return __Pyx_PyFunction_FastCall(func, &arg, 1); + } +#endif + if (likely(PyCFunction_Check(func))) { + if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { + return __Pyx_PyObject_CallMethO(func, arg); +#if CYTHON_FAST_PYCCALL + } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) { + return __Pyx_PyCFunction_FastCall(func, &arg, 1); +#endif + } + } + return __Pyx__PyObject_CallOneArg(func, arg); +} +#else +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { + PyObject *result; + PyObject *args = PyTuple_Pack(1, arg); + if (unlikely(!args)) return NULL; + result = __Pyx_PyObject_Call(func, args, NULL); + Py_DECREF(args); + return result; +} +#endif + +/* DictGetItem */ +#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY +static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) { + PyObject *value; + value = PyDict_GetItemWithError(d, key); + if (unlikely(!value)) { + if (!PyErr_Occurred()) { + if (unlikely(PyTuple_Check(key))) { + PyObject* args = PyTuple_Pack(1, key); + if (likely(args)) { + PyErr_SetObject(PyExc_KeyError, args); + Py_DECREF(args); + } + } else { + PyErr_SetObject(PyExc_KeyError, key); + } + } + return NULL; + } + Py_INCREF(value); + return value; +} +#endif + +/* RaiseTooManyValuesToUnpack */ +static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { + PyErr_Format(PyExc_ValueError, + "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); +} + +/* RaiseNeedMoreValuesToUnpack */ +static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { + PyErr_Format(PyExc_ValueError, + "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", + index, (index == 1) ? "" : "s"); +} + +/* RaiseNoneIterError */ +static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); +} + +/* ExtTypeTest */ +static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + if (likely(__Pyx_TypeCheck(obj, type))) + return 1; + PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", + Py_TYPE(obj)->tp_name, type->tp_name); + return 0; +} + +/* GetTopmostException */ +#if CYTHON_USE_EXC_INFO_STACK +static _PyErr_StackItem * +__Pyx_PyErr_GetTopmostException(PyThreadState *tstate) +{ + _PyErr_StackItem *exc_info = tstate->exc_info; + while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) && + exc_info->previous_item != NULL) + { + exc_info = exc_info->previous_item; + } + return exc_info; +} +#endif + +/* SaveResetException */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); + *type = exc_info->exc_type; + *value = exc_info->exc_value; + *tb = exc_info->exc_traceback; + #else + *type = tstate->exc_type; + *value = tstate->exc_value; + *tb = tstate->exc_traceback; + #endif + Py_XINCREF(*type); + Py_XINCREF(*value); + Py_XINCREF(*tb); +} +static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = type; + exc_info->exc_value = value; + exc_info->exc_traceback = tb; + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = type; + tstate->exc_value = value; + tstate->exc_traceback = tb; + #endif + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +} +#endif + +/* PyErrExceptionMatches */ +#if CYTHON_FAST_THREAD_STATE +static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { + Py_ssize_t i, n; + n = PyTuple_GET_SIZE(tuple); +#if PY_MAJOR_VERSION >= 3 + for (i=0; icurexc_type; + if (exc_type == err) return 1; + if (unlikely(!exc_type)) return 0; + if (unlikely(PyTuple_Check(err))) + return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err); + return __Pyx_PyErr_GivenExceptionMatches(exc_type, err); +} +#endif + +/* GetException */ +#if CYTHON_FAST_THREAD_STATE +static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) +#else +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) +#endif +{ + PyObject *local_type, *local_value, *local_tb; +#if CYTHON_FAST_THREAD_STATE + PyObject *tmp_type, *tmp_value, *tmp_tb; + local_type = tstate->curexc_type; + local_value = tstate->curexc_value; + local_tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; +#else + PyErr_Fetch(&local_type, &local_value, &local_tb); +#endif + PyErr_NormalizeException(&local_type, &local_value, &local_tb); +#if CYTHON_FAST_THREAD_STATE + if (unlikely(tstate->curexc_type)) +#else + if (unlikely(PyErr_Occurred())) +#endif + goto bad; + #if PY_MAJOR_VERSION >= 3 + if (local_tb) { + if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) + goto bad; + } + #endif + Py_XINCREF(local_tb); + Py_XINCREF(local_type); + Py_XINCREF(local_value); + *type = local_type; + *value = local_value; + *tb = local_tb; +#if CYTHON_FAST_THREAD_STATE + #if CYTHON_USE_EXC_INFO_STACK + { + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = local_type; + exc_info->exc_value = local_value; + exc_info->exc_traceback = local_tb; + } + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = local_type; + tstate->exc_value = local_value; + tstate->exc_traceback = local_tb; + #endif + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +#else + PyErr_SetExcInfo(local_type, local_value, local_tb); +#endif + return 0; +bad: + *type = 0; + *value = 0; + *tb = 0; + Py_XDECREF(local_type); + Py_XDECREF(local_value); + Py_XDECREF(local_tb); + return -1; +} + +/* ArgTypeTest */ +static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) +{ + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + else if (exact) { + #if PY_MAJOR_VERSION == 2 + if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; + #endif + } + else { + if (likely(__Pyx_TypeCheck(obj, type))) return 1; + } + PyErr_Format(PyExc_TypeError, + "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", + name, type->tp_name, Py_TYPE(obj)->tp_name); + return 0; +} + +/* PyObjectCall2Args */ +static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { + PyObject *args, *result = NULL; + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(function)) { + PyObject *args[2] = {arg1, arg2}; + return __Pyx_PyFunction_FastCall(function, args, 2); + } + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(function)) { + PyObject *args[2] = {arg1, arg2}; + return __Pyx_PyCFunction_FastCall(function, args, 2); + } + #endif + args = PyTuple_New(2); + if (unlikely(!args)) goto done; + Py_INCREF(arg1); + PyTuple_SET_ITEM(args, 0, arg1); + Py_INCREF(arg2); + PyTuple_SET_ITEM(args, 1, arg2); + Py_INCREF(function); + result = __Pyx_PyObject_Call(function, args, NULL); + Py_DECREF(args); + Py_DECREF(function); +done: + return result; +} + +/* BytesEquals */ +static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) { +#if CYTHON_COMPILING_IN_PYPY + return PyObject_RichCompareBool(s1, s2, equals); +#else + if (s1 == s2) { + return (equals == Py_EQ); + } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { + const char *ps1, *ps2; + Py_ssize_t length = PyBytes_GET_SIZE(s1); + if (length != PyBytes_GET_SIZE(s2)) + return (equals == Py_NE); + ps1 = PyBytes_AS_STRING(s1); + ps2 = PyBytes_AS_STRING(s2); + if (ps1[0] != ps2[0]) { + return (equals == Py_NE); + } else if (length == 1) { + return (equals == Py_EQ); + } else { + int result; +#if CYTHON_USE_UNICODE_INTERNALS + Py_hash_t hash1, hash2; + hash1 = ((PyBytesObject*)s1)->ob_shash; + hash2 = ((PyBytesObject*)s2)->ob_shash; + if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { + return (equals == Py_NE); + } +#endif + result = memcmp(ps1, ps2, (size_t)length); + return (equals == Py_EQ) ? (result == 0) : (result != 0); + } + } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { + return (equals == Py_NE); + } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { + return (equals == Py_NE); + } else { + int result; + PyObject* py_result = PyObject_RichCompare(s1, s2, equals); + if (!py_result) + return -1; + result = __Pyx_PyObject_IsTrue(py_result); + Py_DECREF(py_result); + return result; + } +#endif +} + +/* UnicodeEquals */ +static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { +#if CYTHON_COMPILING_IN_PYPY + return PyObject_RichCompareBool(s1, s2, equals); +#else +#if PY_MAJOR_VERSION < 3 + PyObject* owned_ref = NULL; +#endif + int s1_is_unicode, s2_is_unicode; + if (s1 == s2) { + goto return_eq; + } + s1_is_unicode = PyUnicode_CheckExact(s1); + s2_is_unicode = PyUnicode_CheckExact(s2); +#if PY_MAJOR_VERSION < 3 + if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) { + owned_ref = PyUnicode_FromObject(s2); + if (unlikely(!owned_ref)) + return -1; + s2 = owned_ref; + s2_is_unicode = 1; + } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) { + owned_ref = PyUnicode_FromObject(s1); + if (unlikely(!owned_ref)) + return -1; + s1 = owned_ref; + s1_is_unicode = 1; + } else if (((!s2_is_unicode) & (!s1_is_unicode))) { + return __Pyx_PyBytes_Equals(s1, s2, equals); + } +#endif + if (s1_is_unicode & s2_is_unicode) { + Py_ssize_t length; + int kind; + void *data1, *data2; + if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) + return -1; + length = __Pyx_PyUnicode_GET_LENGTH(s1); + if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) { + goto return_ne; + } +#if CYTHON_USE_UNICODE_INTERNALS + { + Py_hash_t hash1, hash2; + #if CYTHON_PEP393_ENABLED + hash1 = ((PyASCIIObject*)s1)->hash; + hash2 = ((PyASCIIObject*)s2)->hash; + #else + hash1 = ((PyUnicodeObject*)s1)->hash; + hash2 = ((PyUnicodeObject*)s2)->hash; + #endif + if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { + goto return_ne; + } + } +#endif + kind = __Pyx_PyUnicode_KIND(s1); + if (kind != __Pyx_PyUnicode_KIND(s2)) { + goto return_ne; + } + data1 = __Pyx_PyUnicode_DATA(s1); + data2 = __Pyx_PyUnicode_DATA(s2); + if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { + goto return_ne; + } else if (length == 1) { + goto return_eq; + } else { + int result = memcmp(data1, data2, (size_t)(length * kind)); + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_EQ) ? (result == 0) : (result != 0); + } + } else if ((s1 == Py_None) & s2_is_unicode) { + goto return_ne; + } else if ((s2 == Py_None) & s1_is_unicode) { + goto return_ne; + } else { + int result; + PyObject* py_result = PyObject_RichCompare(s1, s2, equals); + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + if (!py_result) + return -1; + result = __Pyx_PyObject_IsTrue(py_result); + Py_DECREF(py_result); + return result; + } +return_eq: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_EQ); +return_ne: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_NE); +#endif +} + +/* None */ +static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { + Py_ssize_t q = a / b; + Py_ssize_t r = a - q*b; + q -= ((r != 0) & ((r ^ b) < 0)); + return q; +} + +/* GetAttr */ +static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { +#if CYTHON_USE_TYPE_SLOTS +#if PY_MAJOR_VERSION >= 3 + if (likely(PyUnicode_Check(n))) +#else + if (likely(PyString_Check(n))) +#endif + return __Pyx_PyObject_GetAttrStr(o, n); +#endif + return PyObject_GetAttr(o, n); +} + +/* GetItemInt */ +static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { + PyObject *r; + if (!j) return NULL; + r = PyObject_GetItem(o, j); + Py_DECREF(j); + return r; +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + Py_ssize_t wrapped_i = i; + if (wraparound & unlikely(i < 0)) { + wrapped_i += PyList_GET_SIZE(o); + } + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) { + PyObject *r = PyList_GET_ITEM(o, wrapped_i); + Py_INCREF(r); + return r; + } + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +#else + return PySequence_GetItem(o, i); +#endif +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + Py_ssize_t wrapped_i = i; + if (wraparound & unlikely(i < 0)) { + wrapped_i += PyTuple_GET_SIZE(o); + } + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) { + PyObject *r = PyTuple_GET_ITEM(o, wrapped_i); + Py_INCREF(r); + return r; + } + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +#else + return PySequence_GetItem(o, i); +#endif +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS + if (is_list || PyList_CheckExact(o)) { + Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); + if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) { + PyObject *r = PyList_GET_ITEM(o, n); + Py_INCREF(r); + return r; + } + } + else if (PyTuple_CheckExact(o)) { + Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); + if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { + PyObject *r = PyTuple_GET_ITEM(o, n); + Py_INCREF(r); + return r; + } + } else { + PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; + if (likely(m && m->sq_item)) { + if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { + Py_ssize_t l = m->sq_length(o); + if (likely(l >= 0)) { + i += l; + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + return NULL; + PyErr_Clear(); + } + } + return m->sq_item(o, i); + } + } +#else + if (is_list || PySequence_Check(o)) { + return PySequence_GetItem(o, i); + } +#endif + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +} + +/* ObjectGetItem */ +#if CYTHON_USE_TYPE_SLOTS +static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) { + PyObject *runerr; + Py_ssize_t key_value; + PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence; + if (unlikely(!(m && m->sq_item))) { + PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name); + return NULL; + } + key_value = __Pyx_PyIndex_AsSsize_t(index); + if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) { + return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1); + } + if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) { + PyErr_Clear(); + PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name); + } + return NULL; +} +static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) { + PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping; + if (likely(m && m->mp_subscript)) { + return m->mp_subscript(obj, key); + } + return __Pyx_PyObject_GetIndex(obj, key); +} +#endif + +/* decode_c_string */ +static CYTHON_INLINE PyObject* __Pyx_decode_c_string( + const char* cstring, Py_ssize_t start, Py_ssize_t stop, + const char* encoding, const char* errors, + PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { + Py_ssize_t length; + if (unlikely((start < 0) | (stop < 0))) { + size_t slen = strlen(cstring); + if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) { + PyErr_SetString(PyExc_OverflowError, + "c-string too long to convert to Python"); + return NULL; + } + length = (Py_ssize_t) slen; + if (start < 0) { + start += length; + if (start < 0) + start = 0; + } + if (stop < 0) + stop += length; + } + length = stop - start; + if (unlikely(length <= 0)) + return PyUnicode_FromUnicode(NULL, 0); + cstring += start; + if (decode_func) { + return decode_func(cstring, length, errors); + } else { + return PyUnicode_Decode(cstring, length, encoding, errors); + } +} + +/* GetAttr3 */ +static PyObject *__Pyx_GetAttr3Default(PyObject *d) { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) + return NULL; + __Pyx_PyErr_Clear(); + Py_INCREF(d); + return d; +} +static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { + PyObject *r = __Pyx_GetAttr(o, n); + return (likely(r)) ? r : __Pyx_GetAttr3Default(d); +} + +/* PyDictVersioning */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { + PyObject **dictptr = NULL; + Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; + if (offset) { +#if CYTHON_COMPILING_IN_CPYTHON + dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); +#else + dictptr = _PyObject_GetDictPtr(obj); +#endif + } + return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; +} +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) + return 0; + return obj_dict_version == __Pyx_get_object_dict_version(obj); +} +#endif + +/* GetModuleGlobalName */ +#if CYTHON_USE_DICT_VERSIONS +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) +#else +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) +#endif +{ + PyObject *result; +#if !CYTHON_AVOID_BORROWED_REFS +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 + result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } else if (unlikely(PyErr_Occurred())) { + return NULL; + } +#else + result = PyDict_GetItem(__pyx_d, name); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } +#endif +#else + result = PyObject_GetItem(__pyx_d, name); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } + PyErr_Clear(); +#endif + return __Pyx_GetBuiltinName(name); +} + +/* SwapException */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = *type; + exc_info->exc_value = *value; + exc_info->exc_traceback = *tb; + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = *type; + tstate->exc_value = *value; + tstate->exc_traceback = *tb; + #endif + *type = tmp_type; + *value = tmp_value; + *tb = tmp_tb; +} +#else +static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); + PyErr_SetExcInfo(*type, *value, *tb); + *type = tmp_type; + *value = tmp_value; + *tb = tmp_tb; +} +#endif + +/* Import */ +static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { + PyObject *empty_list = 0; + PyObject *module = 0; + PyObject *global_dict = 0; + PyObject *empty_dict = 0; + PyObject *list; + #if PY_MAJOR_VERSION < 3 + PyObject *py_import; + py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); + if (!py_import) + goto bad; + #endif + if (from_list) + list = from_list; + else { + empty_list = PyList_New(0); + if (!empty_list) + goto bad; + list = empty_list; + } + global_dict = PyModule_GetDict(__pyx_m); + if (!global_dict) + goto bad; + empty_dict = PyDict_New(); + if (!empty_dict) + goto bad; + { + #if PY_MAJOR_VERSION >= 3 + if (level == -1) { + if (strchr(__Pyx_MODULE_NAME, '.')) { + module = PyImport_ImportModuleLevelObject( + name, global_dict, empty_dict, list, 1); + if (!module) { + if (!PyErr_ExceptionMatches(PyExc_ImportError)) + goto bad; + PyErr_Clear(); + } + } + level = 0; + } + #endif + if (!module) { + #if PY_MAJOR_VERSION < 3 + PyObject *py_level = PyInt_FromLong(level); + if (!py_level) + goto bad; + module = PyObject_CallFunctionObjArgs(py_import, + name, global_dict, empty_dict, list, py_level, (PyObject *)NULL); + Py_DECREF(py_level); + #else + module = PyImport_ImportModuleLevelObject( + name, global_dict, empty_dict, list, level); + #endif + } + } +bad: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(py_import); + #endif + Py_XDECREF(empty_list); + Py_XDECREF(empty_dict); + return module; +} + +/* FastTypeChecks */ +#if CYTHON_COMPILING_IN_CPYTHON +static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { + while (a) { + a = a->tp_base; + if (a == b) + return 1; + } + return b == &PyBaseObject_Type; +} +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { + PyObject *mro; + if (a == b) return 1; + mro = a->tp_mro; + if (likely(mro)) { + Py_ssize_t i, n; + n = PyTuple_GET_SIZE(mro); + for (i = 0; i < n; i++) { + if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) + return 1; + } + return 0; + } + return __Pyx_InBases(a, b); +} +#if PY_MAJOR_VERSION == 2 +static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) { + PyObject *exception, *value, *tb; + int res; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&exception, &value, &tb); + res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0; + if (unlikely(res == -1)) { + PyErr_WriteUnraisable(err); + res = 0; + } + if (!res) { + res = PyObject_IsSubclass(err, exc_type2); + if (unlikely(res == -1)) { + PyErr_WriteUnraisable(err); + res = 0; + } + } + __Pyx_ErrRestore(exception, value, tb); + return res; +} +#else +static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { + int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0; + if (!res) { + res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); + } + return res; +} +#endif +static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { + Py_ssize_t i, n; + assert(PyExceptionClass_Check(exc_type)); + n = PyTuple_GET_SIZE(tuple); +#if PY_MAJOR_VERSION >= 3 + for (i=0; i= 0 || (x^b) >= 0)) + return PyInt_FromLong(x); + return PyLong_Type.tp_as_number->nb_add(op1, op2); + } + #endif + #if CYTHON_USE_PYLONG_INTERNALS + if (likely(PyLong_CheckExact(op1))) { + const long b = intval; + long a, x; +#ifdef HAVE_LONG_LONG + const PY_LONG_LONG llb = intval; + PY_LONG_LONG lla, llx; +#endif + const digit* digits = ((PyLongObject*)op1)->ob_digit; + const Py_ssize_t size = Py_SIZE(op1); + if (likely(__Pyx_sst_abs(size) <= 1)) { + a = likely(size) ? digits[0] : 0; + if (size == -1) a = -a; + } else { + switch (size) { + case -2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + default: return PyLong_Type.tp_as_number->nb_add(op1, op2); + } + } + x = a + b; + return PyLong_FromLong(x); +#ifdef HAVE_LONG_LONG + long_long: + llx = lla + llb; + return PyLong_FromLongLong(llx); +#endif + + + } + #endif + if (PyFloat_CheckExact(op1)) { + const long b = intval; + double a = PyFloat_AS_DOUBLE(op1); + double result; + PyFPE_START_PROTECT("add", return NULL) + result = ((double)a) + (double)b; + PyFPE_END_PROTECT(result) + return PyFloat_FromDouble(result); + } + return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2); +} +#endif + +/* None */ +static CYTHON_INLINE long __Pyx_div_long(long a, long b) { + long q = a / b; + long r = a - q*b; + q -= ((r != 0) & ((r ^ b) < 0)); + return q; +} + +/* ImportFrom */ +static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { + PyObject* value = __Pyx_PyObject_GetAttrStr(module, name); + if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) { + PyErr_Format(PyExc_ImportError, + #if PY_MAJOR_VERSION < 3 + "cannot import name %.230s", PyString_AS_STRING(name)); + #else + "cannot import name %S", name); + #endif + } + return value; +} + +/* HasAttr */ +static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { + PyObject *r; + if (unlikely(!__Pyx_PyBaseString_Check(n))) { + PyErr_SetString(PyExc_TypeError, + "hasattr(): attribute name must be string"); + return -1; + } + r = __Pyx_GetAttr(o, n); + if (unlikely(!r)) { + PyErr_Clear(); + return 0; + } else { + Py_DECREF(r); + return 1; + } +} + +/* PyObject_GenericGetAttrNoDict */ +#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) { + PyErr_Format(PyExc_AttributeError, +#if PY_MAJOR_VERSION >= 3 + "'%.50s' object has no attribute '%U'", + tp->tp_name, attr_name); +#else + "'%.50s' object has no attribute '%.400s'", + tp->tp_name, PyString_AS_STRING(attr_name)); +#endif + return NULL; +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) { + PyObject *descr; + PyTypeObject *tp = Py_TYPE(obj); + if (unlikely(!PyString_Check(attr_name))) { + return PyObject_GenericGetAttr(obj, attr_name); + } + assert(!tp->tp_dictoffset); + descr = _PyType_Lookup(tp, attr_name); + if (unlikely(!descr)) { + return __Pyx_RaiseGenericGetAttributeError(tp, attr_name); + } + Py_INCREF(descr); + #if PY_MAJOR_VERSION < 3 + if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS))) + #endif + { + descrgetfunc f = Py_TYPE(descr)->tp_descr_get; + if (unlikely(f)) { + PyObject *res = f(descr, obj, (PyObject *)tp); + Py_DECREF(descr); + return res; + } + } + return descr; +} +#endif + +/* PyObject_GenericGetAttr */ +#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) { + if (unlikely(Py_TYPE(obj)->tp_dictoffset)) { + return PyObject_GenericGetAttr(obj, attr_name); + } + return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name); +} +#endif + +/* SetVTable */ +static int __Pyx_SetVtable(PyObject *dict, void *vtable) { +#if PY_VERSION_HEX >= 0x02070000 + PyObject *ob = PyCapsule_New(vtable, 0, 0); +#else + PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); +#endif + if (!ob) + goto bad; + if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0) + goto bad; + Py_DECREF(ob); + return 0; +bad: + Py_XDECREF(ob); + return -1; +} + +/* SetupReduce */ +static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { + int ret; + PyObject *name_attr; + name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2); + if (likely(name_attr)) { + ret = PyObject_RichCompareBool(name_attr, name, Py_EQ); + } else { + ret = -1; + } + if (unlikely(ret < 0)) { + PyErr_Clear(); + ret = 0; + } + Py_XDECREF(name_attr); + return ret; +} +static int __Pyx_setup_reduce(PyObject* type_obj) { + int ret = 0; + PyObject *object_reduce = NULL; + PyObject *object_reduce_ex = NULL; + PyObject *reduce = NULL; + PyObject *reduce_ex = NULL; + PyObject *reduce_cython = NULL; + PyObject *setstate = NULL; + PyObject *setstate_cython = NULL; +#if CYTHON_USE_PYTYPE_LOOKUP + if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD; +#else + if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD; +#endif +#if CYTHON_USE_PYTYPE_LOOKUP + object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; +#else + object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; +#endif + reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD; + if (reduce_ex == object_reduce_ex) { +#if CYTHON_USE_PYTYPE_LOOKUP + object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; +#else + object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; +#endif + reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD; + if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) { + reduce_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_cython); if (unlikely(!reduce_cython)) goto __PYX_BAD; + ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate); + if (!setstate) PyErr_Clear(); + if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) { + setstate_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate_cython); if (unlikely(!setstate_cython)) goto __PYX_BAD; + ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + } + PyType_Modified((PyTypeObject*)type_obj); + } + } + goto __PYX_GOOD; +__PYX_BAD: + if (!PyErr_Occurred()) + PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name); + ret = -1; +__PYX_GOOD: +#if !CYTHON_USE_PYTYPE_LOOKUP + Py_XDECREF(object_reduce); + Py_XDECREF(object_reduce_ex); +#endif + Py_XDECREF(reduce); + Py_XDECREF(reduce_ex); + Py_XDECREF(reduce_cython); + Py_XDECREF(setstate); + Py_XDECREF(setstate_cython); + return ret; +} + +/* TypeImport */ +#ifndef __PYX_HAVE_RT_ImportType +#define __PYX_HAVE_RT_ImportType +static PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name, + size_t size, enum __Pyx_ImportType_CheckSize check_size) +{ + PyObject *result = 0; + char warning[200]; + Py_ssize_t basicsize; +#ifdef Py_LIMITED_API + PyObject *py_basicsize; +#endif + result = PyObject_GetAttrString(module, class_name); + if (!result) + goto bad; + if (!PyType_Check(result)) { + PyErr_Format(PyExc_TypeError, + "%.200s.%.200s is not a type object", + module_name, class_name); + goto bad; + } +#ifndef Py_LIMITED_API + basicsize = ((PyTypeObject *)result)->tp_basicsize; +#else + py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); + if (!py_basicsize) + goto bad; + basicsize = PyLong_AsSsize_t(py_basicsize); + Py_DECREF(py_basicsize); + py_basicsize = 0; + if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) + goto bad; +#endif + if ((size_t)basicsize < size) { + PyErr_Format(PyExc_ValueError, + "%.200s.%.200s size changed, may indicate binary incompatibility. " + "Expected %zd from C header, got %zd from PyObject", + module_name, class_name, size, basicsize); + goto bad; + } + if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) { + PyErr_Format(PyExc_ValueError, + "%.200s.%.200s size changed, may indicate binary incompatibility. " + "Expected %zd from C header, got %zd from PyObject", + module_name, class_name, size, basicsize); + goto bad; + } + else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) { + PyOS_snprintf(warning, sizeof(warning), + "%s.%s size changed, may indicate binary incompatibility. " + "Expected %zd from C header, got %zd from PyObject", + module_name, class_name, size, basicsize); + if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; + } + return (PyTypeObject *)result; +bad: + Py_XDECREF(result); + return NULL; +} +#endif + +/* CLineInTraceback */ +#ifndef CYTHON_CLINE_IN_TRACEBACK +static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { + PyObject *use_cline; + PyObject *ptype, *pvalue, *ptraceback; +#if CYTHON_COMPILING_IN_CPYTHON + PyObject **cython_runtime_dict; +#endif + if (unlikely(!__pyx_cython_runtime)) { + return c_line; + } + __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); +#if CYTHON_COMPILING_IN_CPYTHON + cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime); + if (likely(cython_runtime_dict)) { + __PYX_PY_DICT_LOOKUP_IF_MODIFIED( + use_cline, *cython_runtime_dict, + __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback)) + } else +#endif + { + PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback); + if (use_cline_obj) { + use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True; + Py_DECREF(use_cline_obj); + } else { + PyErr_Clear(); + use_cline = NULL; + } + } + if (!use_cline) { + c_line = 0; + PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False); + } + else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { + c_line = 0; + } + __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); + return c_line; +} +#endif + +/* CodeObjectCache */ +static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { + int start = 0, mid = 0, end = count - 1; + if (end >= 0 && code_line > entries[end].code_line) { + return count; + } + while (start < end) { + mid = start + (end - start) / 2; + if (code_line < entries[mid].code_line) { + end = mid; + } else if (code_line > entries[mid].code_line) { + start = mid + 1; + } else { + return mid; + } + } + if (code_line <= entries[mid].code_line) { + return mid; + } else { + return mid + 1; + } +} +static PyCodeObject *__pyx_find_code_object(int code_line) { + PyCodeObject* code_object; + int pos; + if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { + return NULL; + } + pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); + if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { + return NULL; + } + code_object = __pyx_code_cache.entries[pos].code_object; + Py_INCREF(code_object); + return code_object; +} +static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { + int pos, i; + __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; + if (unlikely(!code_line)) { + return; + } + if (unlikely(!entries)) { + entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); + if (likely(entries)) { + __pyx_code_cache.entries = entries; + __pyx_code_cache.max_count = 64; + __pyx_code_cache.count = 1; + entries[0].code_line = code_line; + entries[0].code_object = code_object; + Py_INCREF(code_object); + } + return; + } + pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); + if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { + PyCodeObject* tmp = entries[pos].code_object; + entries[pos].code_object = code_object; + Py_DECREF(tmp); + return; + } + if (__pyx_code_cache.count == __pyx_code_cache.max_count) { + int new_max = __pyx_code_cache.max_count + 64; + entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( + __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry)); + if (unlikely(!entries)) { + return; + } + __pyx_code_cache.entries = entries; + __pyx_code_cache.max_count = new_max; + } + for (i=__pyx_code_cache.count; i>pos; i--) { + entries[i] = entries[i-1]; + } + entries[pos].code_line = code_line; + entries[pos].code_object = code_object; + __pyx_code_cache.count++; + Py_INCREF(code_object); +} + +/* AddTraceback */ +#include "compile.h" +#include "frameobject.h" +#include "traceback.h" +static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( + const char *funcname, int c_line, + int py_line, const char *filename) { + PyCodeObject *py_code = 0; + PyObject *py_srcfile = 0; + PyObject *py_funcname = 0; + #if PY_MAJOR_VERSION < 3 + py_srcfile = PyString_FromString(filename); + #else + py_srcfile = PyUnicode_FromString(filename); + #endif + if (!py_srcfile) goto bad; + if (c_line) { + #if PY_MAJOR_VERSION < 3 + py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); + #else + py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); + #endif + } + else { + #if PY_MAJOR_VERSION < 3 + py_funcname = PyString_FromString(funcname); + #else + py_funcname = PyUnicode_FromString(funcname); + #endif + } + if (!py_funcname) goto bad; + py_code = __Pyx_PyCode_New( + 0, + 0, + 0, + 0, + 0, + __pyx_empty_bytes, /*PyObject *code,*/ + __pyx_empty_tuple, /*PyObject *consts,*/ + __pyx_empty_tuple, /*PyObject *names,*/ + __pyx_empty_tuple, /*PyObject *varnames,*/ + __pyx_empty_tuple, /*PyObject *freevars,*/ + __pyx_empty_tuple, /*PyObject *cellvars,*/ + py_srcfile, /*PyObject *filename,*/ + py_funcname, /*PyObject *name,*/ + py_line, + __pyx_empty_bytes /*PyObject *lnotab*/ + ); + Py_DECREF(py_srcfile); + Py_DECREF(py_funcname); + return py_code; +bad: + Py_XDECREF(py_srcfile); + Py_XDECREF(py_funcname); + return NULL; +} +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename) { + PyCodeObject *py_code = 0; + PyFrameObject *py_frame = 0; + PyThreadState *tstate = __Pyx_PyThreadState_Current; + if (c_line) { + c_line = __Pyx_CLineForTraceback(tstate, c_line); + } + py_code = __pyx_find_code_object(c_line ? -c_line : py_line); + if (!py_code) { + py_code = __Pyx_CreateCodeObjectForTraceback( + funcname, c_line, py_line, filename); + if (!py_code) goto bad; + __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); + } + py_frame = PyFrame_New( + tstate, /*PyThreadState *tstate,*/ + py_code, /*PyCodeObject *code,*/ + __pyx_d, /*PyObject *globals,*/ + 0 /*PyObject *locals*/ + ); + if (!py_frame) goto bad; + __Pyx_PyFrame_SetLineNumber(py_frame, py_line); + PyTraceBack_Here(py_frame); +bad: + Py_XDECREF(py_code); + Py_XDECREF(py_frame); +} + +#if PY_MAJOR_VERSION < 3 +static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { + if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); + if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); + if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); + if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); + PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name); + return -1; +} +static void __Pyx_ReleaseBuffer(Py_buffer *view) { + PyObject *obj = view->obj; + if (!obj) return; + if (PyObject_CheckBuffer(obj)) { + PyBuffer_Release(view); + return; + } + if ((0)) {} + else if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); + view->obj = NULL; + Py_DECREF(obj); +} +#endif + + +/* MemviewSliceIsContig */ +static int +__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) +{ + int i, index, step, start; + Py_ssize_t itemsize = mvs.memview->view.itemsize; + if (order == 'F') { + step = 1; + start = 0; + } else { + step = -1; + start = ndim - 1; + } + for (i = 0; i < ndim; i++) { + index = start + step * i; + if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) + return 0; + itemsize *= mvs.shape[index]; + } + return 1; +} + +/* OverlappingSlices */ +static void +__pyx_get_array_memory_extents(__Pyx_memviewslice *slice, + void **out_start, void **out_end, + int ndim, size_t itemsize) +{ + char *start, *end; + int i; + start = end = slice->data; + for (i = 0; i < ndim; i++) { + Py_ssize_t stride = slice->strides[i]; + Py_ssize_t extent = slice->shape[i]; + if (extent == 0) { + *out_start = *out_end = start; + return; + } else { + if (stride > 0) + end += stride * (extent - 1); + else + start += stride * (extent - 1); + } + } + *out_start = start; + *out_end = end + itemsize; +} +static int +__pyx_slices_overlap(__Pyx_memviewslice *slice1, + __Pyx_memviewslice *slice2, + int ndim, size_t itemsize) +{ + void *start1, *end1, *start2, *end2; + __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); + __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); + return (start1 < end2) && (start2 < end1); +} + +/* Capsule */ +static CYTHON_INLINE PyObject * +__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) +{ + PyObject *cobj; +#if PY_VERSION_HEX >= 0x02070000 + cobj = PyCapsule_New(p, sig, NULL); +#else + cobj = PyCObject_FromVoidPtr(p, NULL); +#endif + return cobj; +} + +/* IsLittleEndian */ +static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) +{ + union { + uint32_t u32; + uint8_t u8[4]; + } S; + S.u32 = 0x01020304; + return S.u8[0] == 4; +} + +/* BufferFormatCheck */ +static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, + __Pyx_BufFmt_StackElem* stack, + __Pyx_TypeInfo* type) { + stack[0].field = &ctx->root; + stack[0].parent_offset = 0; + ctx->root.type = type; + ctx->root.name = "buffer dtype"; + ctx->root.offset = 0; + ctx->head = stack; + ctx->head->field = &ctx->root; + ctx->fmt_offset = 0; + ctx->head->parent_offset = 0; + ctx->new_packmode = '@'; + ctx->enc_packmode = '@'; + ctx->new_count = 1; + ctx->enc_count = 0; + ctx->enc_type = 0; + ctx->is_complex = 0; + ctx->is_valid_array = 0; + ctx->struct_alignment = 0; + while (type->typegroup == 'S') { + ++ctx->head; + ctx->head->field = type->fields; + ctx->head->parent_offset = 0; + type = type->fields->type; + } +} +static int __Pyx_BufFmt_ParseNumber(const char** ts) { + int count; + const char* t = *ts; + if (*t < '0' || *t > '9') { + return -1; + } else { + count = *t++ - '0'; + while (*t >= '0' && *t <= '9') { + count *= 10; + count += *t++ - '0'; + } + } + *ts = t; + return count; +} +static int __Pyx_BufFmt_ExpectNumber(const char **ts) { + int number = __Pyx_BufFmt_ParseNumber(ts); + if (number == -1) + PyErr_Format(PyExc_ValueError,\ + "Does not understand character buffer dtype format string ('%c')", **ts); + return number; +} +static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { + PyErr_Format(PyExc_ValueError, + "Unexpected format string character: '%c'", ch); +} +static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { + switch (ch) { + case '?': return "'bool'"; + case 'c': return "'char'"; + case 'b': return "'signed char'"; + case 'B': return "'unsigned char'"; + case 'h': return "'short'"; + case 'H': return "'unsigned short'"; + case 'i': return "'int'"; + case 'I': return "'unsigned int'"; + case 'l': return "'long'"; + case 'L': return "'unsigned long'"; + case 'q': return "'long long'"; + case 'Q': return "'unsigned long long'"; + case 'f': return (is_complex ? "'complex float'" : "'float'"); + case 'd': return (is_complex ? "'complex double'" : "'double'"); + case 'g': return (is_complex ? "'complex long double'" : "'long double'"); + case 'T': return "a struct"; + case 'O': return "Python object"; + case 'P': return "a pointer"; + case 's': case 'p': return "a string"; + case 0: return "end"; + default: return "unparseable format string"; + } +} +static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return 2; + case 'i': case 'I': case 'l': case 'L': return 4; + case 'q': case 'Q': return 8; + case 'f': return (is_complex ? 8 : 4); + case 'd': return (is_complex ? 16 : 8); + case 'g': { + PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); + return 0; + } + case 'O': case 'P': return sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(short); + case 'i': case 'I': return sizeof(int); + case 'l': case 'L': return sizeof(long); + #ifdef HAVE_LONG_LONG + case 'q': case 'Q': return sizeof(PY_LONG_LONG); + #endif + case 'f': return sizeof(float) * (is_complex ? 2 : 1); + case 'd': return sizeof(double) * (is_complex ? 2 : 1); + case 'g': return sizeof(long double) * (is_complex ? 2 : 1); + case 'O': case 'P': return sizeof(void*); + default: { + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } + } +} +typedef struct { char c; short x; } __Pyx_st_short; +typedef struct { char c; int x; } __Pyx_st_int; +typedef struct { char c; long x; } __Pyx_st_long; +typedef struct { char c; float x; } __Pyx_st_float; +typedef struct { char c; double x; } __Pyx_st_double; +typedef struct { char c; long double x; } __Pyx_st_longdouble; +typedef struct { char c; void *x; } __Pyx_st_void_p; +#ifdef HAVE_LONG_LONG +typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; +#endif +static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); + case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); + case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); +#ifdef HAVE_LONG_LONG + case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); +#endif + case 'f': return sizeof(__Pyx_st_float) - sizeof(float); + case 'd': return sizeof(__Pyx_st_double) - sizeof(double); + case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); + case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +/* These are for computing the padding at the end of the struct to align + on the first member of the struct. This will probably the same as above, + but we don't have any guarantees. + */ +typedef struct { short x; char c; } __Pyx_pad_short; +typedef struct { int x; char c; } __Pyx_pad_int; +typedef struct { long x; char c; } __Pyx_pad_long; +typedef struct { float x; char c; } __Pyx_pad_float; +typedef struct { double x; char c; } __Pyx_pad_double; +typedef struct { long double x; char c; } __Pyx_pad_longdouble; +typedef struct { void *x; char c; } __Pyx_pad_void_p; +#ifdef HAVE_LONG_LONG +typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; +#endif +static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); + case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); + case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); +#ifdef HAVE_LONG_LONG + case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); +#endif + case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); + case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); + case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); + case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { + switch (ch) { + case 'c': + return 'H'; + case 'b': case 'h': case 'i': + case 'l': case 'q': case 's': case 'p': + return 'I'; + case '?': case 'B': case 'H': case 'I': case 'L': case 'Q': + return 'U'; + case 'f': case 'd': case 'g': + return (is_complex ? 'C' : 'R'); + case 'O': + return 'O'; + case 'P': + return 'P'; + default: { + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } + } +} +static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { + if (ctx->head == NULL || ctx->head->field == &ctx->root) { + const char* expected; + const char* quote; + if (ctx->head == NULL) { + expected = "end"; + quote = ""; + } else { + expected = ctx->head->field->type->name; + quote = "'"; + } + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch, expected %s%s%s but got %s", + quote, expected, quote, + __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); + } else { + __Pyx_StructField* field = ctx->head->field; + __Pyx_StructField* parent = (ctx->head - 1)->field; + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", + field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), + parent->type->name, field->name); + } +} +static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { + char group; + size_t size, offset, arraysize = 1; + if (ctx->enc_type == 0) return 0; + if (ctx->head->field->type->arraysize[0]) { + int i, ndim = 0; + if (ctx->enc_type == 's' || ctx->enc_type == 'p') { + ctx->is_valid_array = ctx->head->field->type->ndim == 1; + ndim = 1; + if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { + PyErr_Format(PyExc_ValueError, + "Expected a dimension of size %zu, got %zu", + ctx->head->field->type->arraysize[0], ctx->enc_count); + return -1; + } + } + if (!ctx->is_valid_array) { + PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", + ctx->head->field->type->ndim, ndim); + return -1; + } + for (i = 0; i < ctx->head->field->type->ndim; i++) { + arraysize *= ctx->head->field->type->arraysize[i]; + } + ctx->is_valid_array = 0; + ctx->enc_count = 1; + } + group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); + do { + __Pyx_StructField* field = ctx->head->field; + __Pyx_TypeInfo* type = field->type; + if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { + size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); + } else { + size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); + } + if (ctx->enc_packmode == '@') { + size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); + size_t align_mod_offset; + if (align_at == 0) return -1; + align_mod_offset = ctx->fmt_offset % align_at; + if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; + if (ctx->struct_alignment == 0) + ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, + ctx->is_complex); + } + if (type->size != size || type->typegroup != group) { + if (type->typegroup == 'C' && type->fields != NULL) { + size_t parent_offset = ctx->head->parent_offset + field->offset; + ++ctx->head; + ctx->head->field = type->fields; + ctx->head->parent_offset = parent_offset; + continue; + } + if ((type->typegroup == 'H' || group == 'H') && type->size == size) { + } else { + __Pyx_BufFmt_RaiseExpected(ctx); + return -1; + } + } + offset = ctx->head->parent_offset + field->offset; + if (ctx->fmt_offset != offset) { + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", + (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); + return -1; + } + ctx->fmt_offset += size; + if (arraysize) + ctx->fmt_offset += (arraysize - 1) * size; + --ctx->enc_count; + while (1) { + if (field == &ctx->root) { + ctx->head = NULL; + if (ctx->enc_count != 0) { + __Pyx_BufFmt_RaiseExpected(ctx); + return -1; + } + break; + } + ctx->head->field = ++field; + if (field->type == NULL) { + --ctx->head; + field = ctx->head->field; + continue; + } else if (field->type->typegroup == 'S') { + size_t parent_offset = ctx->head->parent_offset + field->offset; + if (field->type->fields->type == NULL) continue; + field = field->type->fields; + ++ctx->head; + ctx->head->field = field; + ctx->head->parent_offset = parent_offset; + break; + } else { + break; + } + } + } while (ctx->enc_count); + ctx->enc_type = 0; + ctx->is_complex = 0; + return 0; +} +static PyObject * +__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) +{ + const char *ts = *tsp; + int i = 0, number; + int ndim = ctx->head->field->type->ndim; +; + ++ts; + if (ctx->new_count != 1) { + PyErr_SetString(PyExc_ValueError, + "Cannot handle repeated arrays in format string"); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + while (*ts && *ts != ')') { + switch (*ts) { + case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; + default: break; + } + number = __Pyx_BufFmt_ExpectNumber(&ts); + if (number == -1) return NULL; + if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) + return PyErr_Format(PyExc_ValueError, + "Expected a dimension of size %zu, got %d", + ctx->head->field->type->arraysize[i], number); + if (*ts != ',' && *ts != ')') + return PyErr_Format(PyExc_ValueError, + "Expected a comma in format string, got '%c'", *ts); + if (*ts == ',') ts++; + i++; + } + if (i != ndim) + return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", + ctx->head->field->type->ndim, i); + if (!*ts) { + PyErr_SetString(PyExc_ValueError, + "Unexpected end of format string, expected ')'"); + return NULL; + } + ctx->is_valid_array = 1; + ctx->new_count = 1; + *tsp = ++ts; + return Py_None; +} +static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { + int got_Z = 0; + while (1) { + switch(*ts) { + case 0: + if (ctx->enc_type != 0 && ctx->head == NULL) { + __Pyx_BufFmt_RaiseExpected(ctx); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + if (ctx->head != NULL) { + __Pyx_BufFmt_RaiseExpected(ctx); + return NULL; + } + return ts; + case ' ': + case '\r': + case '\n': + ++ts; + break; + case '<': + if (!__Pyx_Is_Little_Endian()) { + PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); + return NULL; + } + ctx->new_packmode = '='; + ++ts; + break; + case '>': + case '!': + if (__Pyx_Is_Little_Endian()) { + PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); + return NULL; + } + ctx->new_packmode = '='; + ++ts; + break; + case '=': + case '@': + case '^': + ctx->new_packmode = *ts++; + break; + case 'T': + { + const char* ts_after_sub; + size_t i, struct_count = ctx->new_count; + size_t struct_alignment = ctx->struct_alignment; + ctx->new_count = 1; + ++ts; + if (*ts != '{') { + PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_type = 0; + ctx->enc_count = 0; + ctx->struct_alignment = 0; + ++ts; + ts_after_sub = ts; + for (i = 0; i != struct_count; ++i) { + ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); + if (!ts_after_sub) return NULL; + } + ts = ts_after_sub; + if (struct_alignment) ctx->struct_alignment = struct_alignment; + } + break; + case '}': + { + size_t alignment = ctx->struct_alignment; + ++ts; + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_type = 0; + if (alignment && ctx->fmt_offset % alignment) { + ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); + } + } + return ts; + case 'x': + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->fmt_offset += ctx->new_count; + ctx->new_count = 1; + ctx->enc_count = 0; + ctx->enc_type = 0; + ctx->enc_packmode = ctx->new_packmode; + ++ts; + break; + case 'Z': + got_Z = 1; + ++ts; + if (*ts != 'f' && *ts != 'd' && *ts != 'g') { + __Pyx_BufFmt_RaiseUnexpectedChar('Z'); + return NULL; + } + CYTHON_FALLTHROUGH; + case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': + case 'l': case 'L': case 'q': case 'Q': + case 'f': case 'd': case 'g': + case 'O': case 'p': + if (ctx->enc_type == *ts && got_Z == ctx->is_complex && + ctx->enc_packmode == ctx->new_packmode) { + ctx->enc_count += ctx->new_count; + ctx->new_count = 1; + got_Z = 0; + ++ts; + break; + } + CYTHON_FALLTHROUGH; + case 's': + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_count = ctx->new_count; + ctx->enc_packmode = ctx->new_packmode; + ctx->enc_type = *ts; + ctx->is_complex = got_Z; + ++ts; + ctx->new_count = 1; + got_Z = 0; + break; + case ':': + ++ts; + while(*ts != ':') ++ts; + ++ts; + break; + case '(': + if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; + break; + default: + { + int number = __Pyx_BufFmt_ExpectNumber(&ts); + if (number == -1) return NULL; + ctx->new_count = (size_t)number; + } + } + } +} + +/* TypeInfoCompare */ + static int +__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) +{ + int i; + if (!a || !b) + return 0; + if (a == b) + return 1; + if (a->size != b->size || a->typegroup != b->typegroup || + a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { + if (a->typegroup == 'H' || b->typegroup == 'H') { + return a->size == b->size; + } else { + return 0; + } + } + if (a->ndim) { + for (i = 0; i < a->ndim; i++) + if (a->arraysize[i] != b->arraysize[i]) + return 0; + } + if (a->typegroup == 'S') { + if (a->flags != b->flags) + return 0; + if (a->fields || b->fields) { + if (!(a->fields && b->fields)) + return 0; + for (i = 0; a->fields[i].type && b->fields[i].type; i++) { + __Pyx_StructField *field_a = a->fields + i; + __Pyx_StructField *field_b = b->fields + i; + if (field_a->offset != field_b->offset || + !__pyx_typeinfo_cmp(field_a->type, field_b->type)) + return 0; + } + return !a->fields[i].type && !b->fields[i].type; + } + } + return 1; +} + +/* MemviewSliceValidateAndInit */ + static int +__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) +{ + if (buf->shape[dim] <= 1) + return 1; + if (buf->strides) { + if (spec & __Pyx_MEMVIEW_CONTIG) { + if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { + if (buf->strides[dim] != sizeof(void *)) { + PyErr_Format(PyExc_ValueError, + "Buffer is not indirectly contiguous " + "in dimension %d.", dim); + goto fail; + } + } else if (buf->strides[dim] != buf->itemsize) { + PyErr_SetString(PyExc_ValueError, + "Buffer and memoryview are not contiguous " + "in the same dimension."); + goto fail; + } + } + if (spec & __Pyx_MEMVIEW_FOLLOW) { + Py_ssize_t stride = buf->strides[dim]; + if (stride < 0) + stride = -stride; + if (stride < buf->itemsize) { + PyErr_SetString(PyExc_ValueError, + "Buffer and memoryview are not contiguous " + "in the same dimension."); + goto fail; + } + } + } else { + if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) { + PyErr_Format(PyExc_ValueError, + "C-contiguous buffer is not contiguous in " + "dimension %d", dim); + goto fail; + } else if (spec & (__Pyx_MEMVIEW_PTR)) { + PyErr_Format(PyExc_ValueError, + "C-contiguous buffer is not indirect in " + "dimension %d", dim); + goto fail; + } else if (buf->suboffsets) { + PyErr_SetString(PyExc_ValueError, + "Buffer exposes suboffsets but no strides"); + goto fail; + } + } + return 1; +fail: + return 0; +} +static int +__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) +{ + if (spec & __Pyx_MEMVIEW_DIRECT) { + if (buf->suboffsets && buf->suboffsets[dim] >= 0) { + PyErr_Format(PyExc_ValueError, + "Buffer not compatible with direct access " + "in dimension %d.", dim); + goto fail; + } + } + if (spec & __Pyx_MEMVIEW_PTR) { + if (!buf->suboffsets || (buf->suboffsets[dim] < 0)) { + PyErr_Format(PyExc_ValueError, + "Buffer is not indirectly accessible " + "in dimension %d.", dim); + goto fail; + } + } + return 1; +fail: + return 0; +} +static int +__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) +{ + int i; + if (c_or_f_flag & __Pyx_IS_F_CONTIG) { + Py_ssize_t stride = 1; + for (i = 0; i < ndim; i++) { + if (stride * buf->itemsize != buf->strides[i] && + buf->shape[i] > 1) + { + PyErr_SetString(PyExc_ValueError, + "Buffer not fortran contiguous."); + goto fail; + } + stride = stride * buf->shape[i]; + } + } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { + Py_ssize_t stride = 1; + for (i = ndim - 1; i >- 1; i--) { + if (stride * buf->itemsize != buf->strides[i] && + buf->shape[i] > 1) { + PyErr_SetString(PyExc_ValueError, + "Buffer not C contiguous."); + goto fail; + } + stride = stride * buf->shape[i]; + } + } + return 1; +fail: + return 0; +} +static int __Pyx_ValidateAndInit_memviewslice( + int *axes_specs, + int c_or_f_flag, + int buf_flags, + int ndim, + __Pyx_TypeInfo *dtype, + __Pyx_BufFmt_StackElem stack[], + __Pyx_memviewslice *memviewslice, + PyObject *original_obj) +{ + struct __pyx_memoryview_obj *memview, *new_memview; + __Pyx_RefNannyDeclarations + Py_buffer *buf; + int i, spec = 0, retval = -1; + __Pyx_BufFmt_Context ctx; + int from_memoryview = __pyx_memoryview_check(original_obj); + __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); + if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) + original_obj)->typeinfo)) { + memview = (struct __pyx_memoryview_obj *) original_obj; + new_memview = NULL; + } else { + memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( + original_obj, buf_flags, 0, dtype); + new_memview = memview; + if (unlikely(!memview)) + goto fail; + } + buf = &memview->view; + if (buf->ndim != ndim) { + PyErr_Format(PyExc_ValueError, + "Buffer has wrong number of dimensions (expected %d, got %d)", + ndim, buf->ndim); + goto fail; + } + if (new_memview) { + __Pyx_BufFmt_Init(&ctx, stack, dtype); + if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; + } + if ((unsigned) buf->itemsize != dtype->size) { + PyErr_Format(PyExc_ValueError, + "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " + "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", + buf->itemsize, + (buf->itemsize > 1) ? "s" : "", + dtype->name, + dtype->size, + (dtype->size > 1) ? "s" : ""); + goto fail; + } + for (i = 0; i < ndim; i++) { + spec = axes_specs[i]; + if (!__pyx_check_strides(buf, i, ndim, spec)) + goto fail; + if (!__pyx_check_suboffsets(buf, i, ndim, spec)) + goto fail; + } + if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)) + goto fail; + if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, + new_memview != NULL) == -1)) { + goto fail; + } + retval = 0; + goto no_fail; +fail: + Py_XDECREF(new_memview); + retval = -1; +no_fail: + __Pyx_RefNannyFinishContext(); + return retval; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_int(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, + (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3, + &__Pyx_TypeInfo_int, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_float(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, + (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3, + &__Pyx_TypeInfo_float, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, + (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1, + &__Pyx_TypeInfo_int, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { + const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(int) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(int) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(int) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(int), + little, !is_unsigned); + } +} + +/* CIntFromPyVerify */ + #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) +#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) +#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ + {\ + func_type value = func_value;\ + if (sizeof(target_type) < sizeof(func_type)) {\ + if (unlikely(value != (func_type) (target_type) value)) {\ + func_type zero = 0;\ + if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ + return (target_type) -1;\ + if (is_unsigned && unlikely(value < zero))\ + goto raise_neg_overflow;\ + else\ + goto raise_overflow;\ + }\ + }\ + return (target_type) value;\ + } + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { + const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(long) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(long) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(long) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(long), + little, !is_unsigned); + } +} + +/* Declarations */ + #if CYTHON_CCOMPLEX + #ifdef __cplusplus + static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { + return ::std::complex< float >(x, y); + } + #else + static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { + return x + y*(__pyx_t_float_complex)_Complex_I; + } + #endif +#else + static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { + __pyx_t_float_complex z; + z.real = x; + z.imag = y; + return z; + } +#endif + +/* Arithmetic */ + #if CYTHON_CCOMPLEX +#else + static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + return (a.real == b.real) && (a.imag == b.imag); + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + z.real = a.real + b.real; + z.imag = a.imag + b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + z.real = a.real - b.real; + z.imag = a.imag - b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + z.real = a.real * b.real - a.imag * b.imag; + z.imag = a.real * b.imag + a.imag * b.real; + return z; + } + #if 1 + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + if (b.imag == 0) { + return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); + } else if (fabsf(b.real) >= fabsf(b.imag)) { + if (b.real == 0 && b.imag == 0) { + return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag); + } else { + float r = b.imag / b.real; + float s = (float)(1.0) / (b.real + b.imag * r); + return __pyx_t_float_complex_from_parts( + (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); + } + } else { + float r = b.real / b.imag; + float s = (float)(1.0) / (b.imag + b.real * r); + return __pyx_t_float_complex_from_parts( + (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); + } + } + #else + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + if (b.imag == 0) { + return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); + } else { + float denom = b.real * b.real + b.imag * b.imag; + return __pyx_t_float_complex_from_parts( + (a.real * b.real + a.imag * b.imag) / denom, + (a.imag * b.real - a.real * b.imag) / denom); + } + } + #endif + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) { + __pyx_t_float_complex z; + z.real = -a.real; + z.imag = -a.imag; + return z; + } + static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) { + return (a.real == 0) && (a.imag == 0); + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) { + __pyx_t_float_complex z; + z.real = a.real; + z.imag = -a.imag; + return z; + } + #if 1 + static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) { + #if !defined(HAVE_HYPOT) || defined(_MSC_VER) + return sqrtf(z.real*z.real + z.imag*z.imag); + #else + return hypotf(z.real, z.imag); + #endif + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + float r, lnr, theta, z_r, z_theta; + if (b.imag == 0 && b.real == (int)b.real) { + if (b.real < 0) { + float denom = a.real * a.real + a.imag * a.imag; + a.real = a.real / denom; + a.imag = -a.imag / denom; + b.real = -b.real; + } + switch ((int)b.real) { + case 0: + z.real = 1; + z.imag = 0; + return z; + case 1: + return a; + case 2: + return __Pyx_c_prod_float(a, a); + case 3: + z = __Pyx_c_prod_float(a, a); + return __Pyx_c_prod_float(z, a); + case 4: + z = __Pyx_c_prod_float(a, a); + return __Pyx_c_prod_float(z, z); + } + } + if (a.imag == 0) { + if (a.real == 0) { + return a; + } else if (b.imag == 0) { + z.real = powf(a.real, b.real); + z.imag = 0; + return z; + } else if (a.real > 0) { + r = a.real; + theta = 0; + } else { + r = -a.real; + theta = atan2f(0.0, -1.0); + } + } else { + r = __Pyx_c_abs_float(a); + theta = atan2f(a.imag, a.real); + } + lnr = logf(r); + z_r = expf(lnr * b.real - theta * b.imag); + z_theta = theta * b.real + lnr * b.imag; + z.real = z_r * cosf(z_theta); + z.imag = z_r * sinf(z_theta); + return z; + } + #endif +#endif + +/* Declarations */ + #if CYTHON_CCOMPLEX + #ifdef __cplusplus + static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { + return ::std::complex< double >(x, y); + } + #else + static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { + return x + y*(__pyx_t_double_complex)_Complex_I; + } + #endif +#else + static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { + __pyx_t_double_complex z; + z.real = x; + z.imag = y; + return z; + } +#endif + +/* Arithmetic */ + #if CYTHON_CCOMPLEX +#else + static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + return (a.real == b.real) && (a.imag == b.imag); + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + z.real = a.real + b.real; + z.imag = a.imag + b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + z.real = a.real - b.real; + z.imag = a.imag - b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + z.real = a.real * b.real - a.imag * b.imag; + z.imag = a.real * b.imag + a.imag * b.real; + return z; + } + #if 1 + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + if (b.imag == 0) { + return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); + } else if (fabs(b.real) >= fabs(b.imag)) { + if (b.real == 0 && b.imag == 0) { + return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag); + } else { + double r = b.imag / b.real; + double s = (double)(1.0) / (b.real + b.imag * r); + return __pyx_t_double_complex_from_parts( + (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); + } + } else { + double r = b.real / b.imag; + double s = (double)(1.0) / (b.imag + b.real * r); + return __pyx_t_double_complex_from_parts( + (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); + } + } + #else + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + if (b.imag == 0) { + return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); + } else { + double denom = b.real * b.real + b.imag * b.imag; + return __pyx_t_double_complex_from_parts( + (a.real * b.real + a.imag * b.imag) / denom, + (a.imag * b.real - a.real * b.imag) / denom); + } + } + #endif + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) { + __pyx_t_double_complex z; + z.real = -a.real; + z.imag = -a.imag; + return z; + } + static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) { + return (a.real == 0) && (a.imag == 0); + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) { + __pyx_t_double_complex z; + z.real = a.real; + z.imag = -a.imag; + return z; + } + #if 1 + static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) { + #if !defined(HAVE_HYPOT) || defined(_MSC_VER) + return sqrt(z.real*z.real + z.imag*z.imag); + #else + return hypot(z.real, z.imag); + #endif + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + double r, lnr, theta, z_r, z_theta; + if (b.imag == 0 && b.real == (int)b.real) { + if (b.real < 0) { + double denom = a.real * a.real + a.imag * a.imag; + a.real = a.real / denom; + a.imag = -a.imag / denom; + b.real = -b.real; + } + switch ((int)b.real) { + case 0: + z.real = 1; + z.imag = 0; + return z; + case 1: + return a; + case 2: + return __Pyx_c_prod_double(a, a); + case 3: + z = __Pyx_c_prod_double(a, a); + return __Pyx_c_prod_double(z, a); + case 4: + z = __Pyx_c_prod_double(a, a); + return __Pyx_c_prod_double(z, z); + } + } + if (a.imag == 0) { + if (a.real == 0) { + return a; + } else if (b.imag == 0) { + z.real = pow(a.real, b.real); + z.imag = 0; + return z; + } else if (a.real > 0) { + r = a.real; + theta = 0; + } else { + r = -a.real; + theta = atan2(0.0, -1.0); + } + } else { + r = __Pyx_c_abs_double(a); + theta = atan2(a.imag, a.real); + } + lnr = log(r); + z_r = exp(lnr * b.real - theta * b.imag); + z_theta = theta * b.real + lnr * b.imag; + z.real = z_r * cos(z_theta); + z.imag = z_r * sin(z_theta); + return z; + } + #endif +#endif + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { + const enum NPY_TYPES neg_one = (enum NPY_TYPES) ((enum NPY_TYPES) 0 - (enum NPY_TYPES) 1), const_zero = (enum NPY_TYPES) 0; + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(enum NPY_TYPES) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(enum NPY_TYPES) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), + little, !is_unsigned); + } +} + +/* MemviewSliceCopyTemplate */ + static __Pyx_memviewslice +__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, + const char *mode, int ndim, + size_t sizeof_dtype, int contig_flag, + int dtype_is_object) +{ + __Pyx_RefNannyDeclarations + int i; + __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; + struct __pyx_memoryview_obj *from_memview = from_mvs->memview; + Py_buffer *buf = &from_memview->view; + PyObject *shape_tuple = NULL; + PyObject *temp_int = NULL; + struct __pyx_array_obj *array_obj = NULL; + struct __pyx_memoryview_obj *memview_obj = NULL; + __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); + for (i = 0; i < ndim; i++) { + if (from_mvs->suboffsets[i] >= 0) { + PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " + "indirect dimensions (axis %d)", i); + goto fail; + } + } + shape_tuple = PyTuple_New(ndim); + if (unlikely(!shape_tuple)) { + goto fail; + } + __Pyx_GOTREF(shape_tuple); + for(i = 0; i < ndim; i++) { + temp_int = PyInt_FromSsize_t(from_mvs->shape[i]); + if(unlikely(!temp_int)) { + goto fail; + } else { + PyTuple_SET_ITEM(shape_tuple, i, temp_int); + temp_int = NULL; + } + } + array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); + if (unlikely(!array_obj)) { + goto fail; + } + __Pyx_GOTREF(array_obj); + memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( + (PyObject *) array_obj, contig_flag, + dtype_is_object, + from_mvs->memview->typeinfo); + if (unlikely(!memview_obj)) + goto fail; + if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) + goto fail; + if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, + dtype_is_object) < 0)) + goto fail; + goto no_fail; +fail: + __Pyx_XDECREF(new_mvs.memview); + new_mvs.memview = NULL; + new_mvs.data = NULL; +no_fail: + __Pyx_XDECREF(shape_tuple); + __Pyx_XDECREF(temp_int); + __Pyx_XDECREF(array_obj); + __Pyx_RefNannyFinishContext(); + return new_mvs; +} + +/* CIntFromPy */ + static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { + const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(int) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (int) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (int) 0; + case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0]) + case 2: + if (8 * sizeof(int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) { + return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) { + return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) { + return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (int) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(int) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (int) 0; + case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0]) + case -2: + if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { + return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + } +#endif + if (sizeof(int) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + int val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (int) -1; + } + } else { + int val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (int) -1; + val = __Pyx_PyInt_As_int(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to int"); + return (int) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to int"); + return (int) -1; +} + +/* CIntFromPy */ + static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { + const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(long) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (long) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (long) 0; + case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0]) + case 2: + if (8 * sizeof(long) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) { + return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(long) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) { + return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(long) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) { + return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (long) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(long) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (long) 0; + case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0]) + case -2: + if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(long) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(long) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(long) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + } +#endif + if (sizeof(long) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + long val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (long) -1; + } + } else { + long val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (long) -1; + val = __Pyx_PyInt_As_long(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to long"); + return (long) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to long"); + return (long) -1; +} + +/* CIntFromPy */ + static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { + const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0; + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(char) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (char) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (char) 0; + case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0]) + case 2: + if (8 * sizeof(char) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) { + return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(char) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) { + return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(char) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) { + return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (char) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(char) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (char) 0; + case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0]) + case -2: + if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(char) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(char) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(char) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { + return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + } +#endif + if (sizeof(char) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + char val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (char) -1; + } + } else { + char val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (char) -1; + val = __Pyx_PyInt_As_char(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to char"); + return (char) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to char"); + return (char) -1; +} + +/* CheckBinaryVersion */ + static int __Pyx_check_binary_version(void) { + char ctversion[4], rtversion[4]; + PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); + PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); + if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { + char message[200]; + PyOS_snprintf(message, sizeof(message), + "compiletime version %s of module '%.100s' " + "does not match runtime version %s", + ctversion, __Pyx_MODULE_NAME, rtversion); + return PyErr_WarnEx(NULL, message, 1); + } + return 0; +} + +/* InitStrings */ + static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { + while (t->p) { + #if PY_MAJOR_VERSION < 3 + if (t->is_unicode) { + *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); + } else if (t->intern) { + *t->p = PyString_InternFromString(t->s); + } else { + *t->p = PyString_FromStringAndSize(t->s, t->n - 1); + } + #else + if (t->is_unicode | t->is_str) { + if (t->intern) { + *t->p = PyUnicode_InternFromString(t->s); + } else if (t->encoding) { + *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); + } else { + *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); + } + } else { + *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); + } + #endif + if (!*t->p) + return -1; + if (PyObject_Hash(*t->p) == -1) + return -1; + ++t; + } + return 0; +} + +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { + return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); +} +static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { + Py_ssize_t ignore; + return __Pyx_PyObject_AsStringAndSize(o, &ignore); +} +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT +#if !CYTHON_PEP393_ENABLED +static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { + char* defenc_c; + PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); + if (!defenc) return NULL; + defenc_c = PyBytes_AS_STRING(defenc); +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + { + char* end = defenc_c + PyBytes_GET_SIZE(defenc); + char* c; + for (c = defenc_c; c < end; c++) { + if ((unsigned char) (*c) >= 128) { + PyUnicode_AsASCIIString(o); + return NULL; + } + } + } +#endif + *length = PyBytes_GET_SIZE(defenc); + return defenc_c; +} +#else +static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { + if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + if (likely(PyUnicode_IS_ASCII(o))) { + *length = PyUnicode_GET_LENGTH(o); + return PyUnicode_AsUTF8(o); + } else { + PyUnicode_AsASCIIString(o); + return NULL; + } +#else + return PyUnicode_AsUTF8AndSize(o, length); +#endif +} +#endif +#endif +static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT + if ( +#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + __Pyx_sys_getdefaultencoding_not_ascii && +#endif + PyUnicode_Check(o)) { + return __Pyx_PyUnicode_AsStringAndSize(o, length); + } else +#endif +#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) + if (PyByteArray_Check(o)) { + *length = PyByteArray_GET_SIZE(o); + return PyByteArray_AS_STRING(o); + } else +#endif + { + char* result; + int r = PyBytes_AsStringAndSize(o, &result, length); + if (unlikely(r < 0)) { + return NULL; + } else { + return result; + } + } +} +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { + int is_true = x == Py_True; + if (is_true | (x == Py_False) | (x == Py_None)) return is_true; + else return PyObject_IsTrue(x); +} +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { + int retval; + if (unlikely(!x)) return -1; + retval = __Pyx_PyObject_IsTrue(x); + Py_DECREF(x); + return retval; +} +static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { +#if PY_MAJOR_VERSION >= 3 + if (PyLong_Check(result)) { + if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, + "__int__ returned non-int (type %.200s). " + "The ability to return an instance of a strict subclass of int " + "is deprecated, and may be removed in a future version of Python.", + Py_TYPE(result)->tp_name)) { + Py_DECREF(result); + return NULL; + } + return result; + } +#endif + PyErr_Format(PyExc_TypeError, + "__%.4s__ returned non-%.4s (type %.200s)", + type_name, type_name, Py_TYPE(result)->tp_name); + Py_DECREF(result); + return NULL; +} +static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { +#if CYTHON_USE_TYPE_SLOTS + PyNumberMethods *m; +#endif + const char *name = NULL; + PyObject *res = NULL; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x) || PyLong_Check(x))) +#else + if (likely(PyLong_Check(x))) +#endif + return __Pyx_NewRef(x); +#if CYTHON_USE_TYPE_SLOTS + m = Py_TYPE(x)->tp_as_number; + #if PY_MAJOR_VERSION < 3 + if (m && m->nb_int) { + name = "int"; + res = m->nb_int(x); + } + else if (m && m->nb_long) { + name = "long"; + res = m->nb_long(x); + } + #else + if (likely(m && m->nb_int)) { + name = "int"; + res = m->nb_int(x); + } + #endif +#else + if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { + res = PyNumber_Int(x); + } +#endif + if (likely(res)) { +#if PY_MAJOR_VERSION < 3 + if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) { +#else + if (unlikely(!PyLong_CheckExact(res))) { +#endif + return __Pyx_PyNumber_IntOrLongWrongResultType(res, name); + } + } + else if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_TypeError, + "an integer is required"); + } + return res; +} +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { + Py_ssize_t ival; + PyObject *x; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(b))) { + if (sizeof(Py_ssize_t) >= sizeof(long)) + return PyInt_AS_LONG(b); + else + return PyInt_AsSsize_t(b); + } +#endif + if (likely(PyLong_CheckExact(b))) { + #if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)b)->ob_digit; + const Py_ssize_t size = Py_SIZE(b); + if (likely(__Pyx_sst_abs(size) <= 1)) { + ival = likely(size) ? digits[0] : 0; + if (size == -1) ival = -ival; + return ival; + } else { + switch (size) { + case 2: + if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { + return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -2: + if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case 3: + if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { + return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -3: + if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case 4: + if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { + return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -4: + if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + } + } + #endif + return PyLong_AsSsize_t(b); + } + x = PyNumber_Index(b); + if (!x) return -1; + ival = PyInt_AsSsize_t(x); + Py_DECREF(x); + return ival; +} +static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) { + return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False); +} +static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { + return PyInt_FromSize_t(ival); +} + + +#endif /* Py_PYTHON_H */ diff --git a/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.pyx b/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.pyx new file mode 100644 index 00000000..6aabccc4 --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.pyx @@ -0,0 +1,45 @@ +import numpy as np +cimport numpy as np +cimport cython +from cython.parallel import prange + + +@cython.boundscheck(False) +@cython.wraparound(False) +cdef void maximum_path_each(int[:,::1] path, float[:,::1] value, int t_x, int t_y, float max_neg_val) nogil: + cdef int x + cdef int y + cdef float v_prev + cdef float v_cur + cdef float tmp + cdef int index = t_x - 1 + + for y in range(t_y): + for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): + if x == y: + v_cur = max_neg_val + else: + v_cur = value[x, y-1] + if x == 0: + if y == 0: + v_prev = 0. + else: + v_prev = max_neg_val + else: + v_prev = value[x-1, y-1] + value[x, y] = max(v_cur, v_prev) + value[x, y] + + for y in range(t_y - 1, -1, -1): + path[index, y] = 1 + if index != 0 and (index == y or value[index, y-1] < value[index-1, y-1]): + index = index - 1 + + +@cython.boundscheck(False) +@cython.wraparound(False) +cpdef void maximum_path_c(int[:,:,::1] paths, float[:,:,::1] values, int[::1] t_xs, int[::1] t_ys, float max_neg_val=-1e9) nogil: + cdef int b = values.shape[0] + + cdef int i + for i in prange(b, nogil=True): + maximum_path_each(paths[i], values[i], t_xs[i], t_ys[i], max_neg_val) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/setup.py b/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/setup.py new file mode 100644 index 00000000..30c22480 --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/setup.py @@ -0,0 +1,9 @@ +from distutils.core import setup +from Cython.Build import cythonize +import numpy + +setup( + name = 'monotonic_align', + ext_modules = cythonize("core.pyx"), + include_dirs=[numpy.get_include()] +) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/transformer.py b/mozilla_voice_tts/tts/layers/glow_tts/transformer.py new file mode 100644 index 00000000..0081130e --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/transformer.py @@ -0,0 +1,100 @@ +import torch +from torch import nn +from torch.nn import functional as F + +from mozilla_voice_tts.tts.layers.glow_tts.attention import MultiHeadAttention + + +class Transformer(nn.Module): + def __init__(self, + hidden_channels, + filter_channels, + num_heads, + num_layers, + kernel_size=1, + dropout_p=0., + rel_attn_window_size=None, + input_length=None, + **kwargs): + super().__init__() + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.num_heads = num_heads + self.num_layers = num_layers + self.kernel_size = kernel_size + self.dropout_p = dropout_p + self.rel_attn_window_size = rel_attn_window_size + self.input_length = input_length + + self.drop = nn.Dropout(dropout_p) + self.attn_layers = nn.ModuleList() + self.norm_layers_1 = nn.ModuleList() + self.ffn_layers = nn.ModuleList() + self.norm_layers_2 = nn.ModuleList() + for _ in range(self.num_layers): + self.attn_layers.append( + MultiHeadAttention(hidden_channels, + hidden_channels, + num_heads, + window_size=rel_attn_window_size, + dropout_p=dropout_p, + input_length=input_length)) + self.norm_layers_1.append(nn.GroupNorm(1, hidden_channels)) + self.ffn_layers.append( + FFN(hidden_channels, + hidden_channels, + filter_channels, + kernel_size, + dropout_p=dropout_p)) + self.norm_layers_2.append(nn.GroupNorm(1, hidden_channels)) + + def forward(self, x, x_mask): + attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1) + for i in range(self.num_layers): + x = x * x_mask + y = self.attn_layers[i](x, x, attn_mask) + y = self.drop(y) + x = self.norm_layers_1[i](x + y) + + y = self.ffn_layers[i](x, x_mask) + y = self.drop(y) + x = self.norm_layers_2[i](x + y) + x = x * x_mask + return x + + +class FFN(nn.Module): + def __init__(self, + in_channels, + out_channels, + filter_channels, + kernel_size, + dropout_p=0., + activation=None): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.dropout_p = dropout_p + self.activation = activation + + self.conv_1 = nn.Conv1d(in_channels, + filter_channels, + kernel_size, + padding=kernel_size // 2) + self.conv_2 = nn.Conv1d(filter_channels, + out_channels, + kernel_size, + padding=kernel_size // 2) + self.drop = nn.Dropout(dropout_p) + + def forward(self, x, x_mask): + x = self.conv_1(x * x_mask) + if self.activation == "gelu": + x = x * torch.sigmoid(1.702 * x) + else: + x = torch.relu(x) + x = self.drop(x) + x = self.conv_2(x * x_mask) + return x * x_mask diff --git a/mozilla_voice_tts/tts/models/glow_tts.py b/mozilla_voice_tts/tts/models/glow_tts.py new file mode 100644 index 00000000..cac6ec1c --- /dev/null +++ b/mozilla_voice_tts/tts/models/glow_tts.py @@ -0,0 +1,178 @@ +import math +import torch +from torch import nn +from torch.nn import functional as F + +from mozilla_voice_tts.tts.layers.glow_tts.encoder import Encoder +from mozilla_voice_tts.tts.layers.glow_tts.decoder import Decoder +from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask +from mozilla_voice_tts.tts.layers.glow_tts.monotonic_align import maximum_path, generate_path + + +class GlowTts(nn.Module): + """Glow TTS models from https://arxiv.org/abs/2005.11129""" + def __init__(self, + num_chars, + hidden_channels, + filter_channels, + filter_channels_dp, + out_channels, + kernel_size=3, + num_heads=2, + num_layers_enc=6, + dropout_p=0.1, + num_flow_blocks_dec=12, + kernel_size_dec=5, + dilation_rate=5, + num_block_layers=4, + dropout_p_dec=0., + num_speakers=0, + c_in_channels=0, + num_splits=4, + num_sqz=1, + sigmoid_scale=False, + mean_only=False, + hidden_channels_enc=None, + hidden_channels_dec=None, + use_encoder_prenet=False): + + super().__init__() + self.num_chars = num_chars + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.filter_channels_dp = filter_channels_dp + self.out_channels = out_channels + self.kernel_size = kernel_size + self.num_heads = num_heads + self.num_layers_enc = num_layers_enc + self.dropout_p = dropout_p + self.num_flow_blocks_dec = num_flow_blocks_dec + self.kernel_size_dec = kernel_size_dec + self.dilation_rate = dilation_rate + self.num_block_layers = num_block_layers + self.dropout_p_dec = dropout_p_dec + self.num_speakers = num_speakers + self.c_in_channels = c_in_channels + self.num_splits = num_splits + self.num_sqz = num_sqz + self.sigmoid_scale = sigmoid_scale + self.mean_only = mean_only + self.hidden_channels_enc = hidden_channels_enc + self.hidden_channels_dec = hidden_channels_dec + self.use_encoder_prenet = use_encoder_prenet + self.noise_scale=0.66 + self.length_scale=1. + + self.encoder = Encoder(num_chars, + out_channels, + hidden_channels_enc or hidden_channels, + filter_channels, + filter_channels_dp, + num_heads, + num_layers_enc, + kernel_size, + dropout_p, + mean_only=mean_only, + use_prenet=True, + c_in_channels=c_in_channels) + + self.decoder = Decoder(out_channels, + hidden_channels_dec or hidden_channels, + kernel_size_dec, + dilation_rate, + num_flow_blocks_dec, + num_block_layers, + dropout_p=dropout_p_dec, + num_splits=num_splits, + num_sqz=num_sqz, + sigmoid_scale=sigmoid_scale, + c_in_channels=c_in_channels) + + if num_speakers > 1: + self.emb_g = nn.Embedding(num_speakers, c_in_channels) + nn.init.uniform_(self.emb_g.weight, -0.1, 0.1) + + def compute_outputs(self, attn, o_mean, o_log_scale, x_mask): + # compute final values with the computed alignment + y_mean = torch.matmul( + attn.squeeze(1).transpose(1, 2), o_mean.transpose(1, 2)).transpose( + 1, 2) # [b, t', t], [b, t, d] -> [b, d, t'] + y_log_scale = torch.matmul( + attn.squeeze(1).transpose(1, 2), o_log_scale.transpose( + 1, 2)).transpose(1, 2) # [b, t', t], [b, t, d] -> [b, d, t'] + # compute total duration with adjustment + o_attn_dur = torch.log(1 + torch.sum(attn, -1)) * x_mask + return y_mean, y_log_scale, o_attn_dur + + def forward(self, x, x_lengths, y=None, y_lengths=None, attn=None, g=None): + """ + x: B x T + x_lenghts: B + y: B x D x T + y_lengths: B + """ + y_max_length = y.size(2) + # norm speaker embeddings + if g is not None: + g = F.normalize(self.emb_g(g)).unsqueeze(-1) # [b, h] + # embedding pass + o_mean, o_log_scale, o_dur_log, x_mask = self.encoder(x, x_lengths, g=g) + # format feature vectors and feature vector lenghts + y, y_lengths, y_max_length, attn = self.preprocess(y, y_lengths, y_max_length, None) + # create masks + y_mask = torch.unsqueeze(sequence_mask(y_lengths, y_max_length), 1).to(x_mask.dtype) + attn_mask = torch.unsqueeze(x_mask, -1) * torch.unsqueeze(y_mask, 2) + # decoder pass + z, logdet = self.decoder(y, y_mask, g=g, reverse=False) + # find the alignment path + with torch.no_grad(): + o_scale = torch.exp(-2 * o_log_scale) + logp1 = torch.sum(-0.5 * math.log(2 * math.pi) - o_log_scale, [1]).unsqueeze(-1) # [b, t, 1] + logp2 = torch.matmul(o_scale.transpose(1,2), -0.5 * (z ** 2)) # [b, t, d] x [b, d, t'] = [b, t, t'] + logp3 = torch.matmul((o_mean * o_scale).transpose(1,2), z) # [b, t, d] x [b, d, t'] = [b, t, t'] + logp4 = torch.sum(-0.5 * (o_mean ** 2) * o_scale, [1]).unsqueeze(-1) # [b, t, 1] + logp = logp1 + logp2 + logp3 + logp4 # [b, t, t'] + attn = maximum_path(logp, + attn_mask.squeeze(1)).unsqueeze(1).detach() + y_mean, y_log_scale, o_attn_dur = self.compute_outputs( + attn, o_mean, o_log_scale, x_mask) + attn = attn.squeeze(1).permute(0, 2, 1) + return z, logdet, y_mean, y_log_scale, attn, o_dur_log, o_attn_dur + + @torch.no_grad() + def inference(self, x, x_lengths, g=None): + if g is not None: + g = F.normalize(self.emb_g(g)).unsqueeze(-1) # [b, h] + # embedding pass + o_mean, o_log_scale, o_dur_log, x_mask = self.encoder(x, x_lengths, g=g) + # compute output durations + w = (torch.exp(o_dur_log) - 1) * x_mask * self.length_scale + w_ceil = torch.ceil(w) + y_lengths = torch.clamp_min(torch.sum(w_ceil, [1, 2]), 1).long() + y_max_length = None + # compute masks + y_mask = torch.unsqueeze(sequence_mask(y_lengths, y_max_length), 1).to(x_mask.dtype) + attn_mask = torch.unsqueeze(x_mask, -1) * torch.unsqueeze(y_mask, 2) + # compute attention mask + attn = generate_path(w_ceil.squeeze(1), + attn_mask.squeeze(1)).unsqueeze(1) + y_mean, y_log_scale, o_attn_dur = self.compute_outputs( + attn, o_mean, o_log_scale, x_mask) + z = (y_mean + torch.exp(y_log_scale) * torch.randn_like(y_mean) * + self.noise_scale) * y_mask + # decoder pass + y, logdet = self.decoder(z, y_mask, g=g, reverse=True) + attn = attn.squeeze(1).permute(0, 2, 1) + return y, logdet, y_mean, y_log_scale, attn, o_dur_log, o_attn_dur + + def preprocess(self, y, y_lengths, y_max_length, attn=None): + if y_max_length is not None: + y_max_length = (y_max_length // self.num_sqz) * self.num_sqz + y = y[:, :, :y_max_length] + if attn is not None: + attn = attn[:, :, :, :y_max_length] + y_lengths = (y_lengths // self.num_sqz) * self.num_sqz + return y, y_lengths, y_max_length, attn + + def store_inverse(self): + self.decoder.store_inverse() From 77c577ddab6cc803c9dbb4a58be003ffab4dfaf3 Mon Sep 17 00:00:00 2001 From: erogol Date: Fri, 14 Aug 2020 00:48:27 +0200 Subject: [PATCH 09/26] don't use += --- mozilla_voice_tts/tts/layers/glow_tts/encoder.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py index 1a1fe2ca..d8bbc07c 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py +++ b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py @@ -108,7 +108,7 @@ class Encoder(nn.Module): # pass embedding layer # [B ,T, D] x = self.emb(x) * math.sqrt(self.hidden_channels) - x += self.pe[:x.shape[1]].unsqueeze(0) + x = x + self.pe[:x.shape[1]].unsqueeze(0) # [B, D, T] x = torch.transpose(x, 1, -1) # compute input sequence mask From 09ad6a09b0f52d2fff6c6ab11d796fb05a244c20 Mon Sep 17 00:00:00 2001 From: erogol Date: Fri, 14 Aug 2020 16:14:11 +0200 Subject: [PATCH 10/26] remove debug code --- mozilla_voice_tts/bin/train_glow_tts.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/mozilla_voice_tts/bin/train_glow_tts.py b/mozilla_voice_tts/bin/train_glow_tts.py index c329e4f9..72b8a7f1 100644 --- a/mozilla_voice_tts/bin/train_glow_tts.py +++ b/mozilla_voice_tts/bin/train_glow_tts.py @@ -547,10 +547,9 @@ def main(args): # pylint: disable=redefined-outer-name model = data_depended_init(model, ap) for epoch in range(0, c.epochs): c_logger.print_epoch_start(epoch, c.epochs) - # train_avg_loss_dict, global_step = train(model, criterion, optimizer, - # scheduler, ap, global_step, - # epoch, amp) - train_avg_loss_dict, global_step = 0, 0 + train_avg_loss_dict, global_step = train(model, criterion, optimizer, + scheduler, ap, global_step, + epoch, amp) eval_avg_loss_dict = evaluate(model, criterion, ap, global_step, epoch) c_logger.print_epoch_end(epoch, eval_avg_loss_dict) target_loss = train_avg_loss_dict['avg_loss'] From 14356d32501beeb0e1a0a6713b88f3f936cf3292 Mon Sep 17 00:00:00 2001 From: erogol Date: Sat, 15 Aug 2020 00:17:49 +0200 Subject: [PATCH 11/26] glow-tts with relative pos encoding --- TTS/tts/utils/generic_utils.py | 2 + mozilla_voice_tts/bin/train_glow_tts.py | 26 +- .../tts/layers/glow_tts/attention.py | 202 ----------- .../tts/layers/glow_tts/commons.py | 63 ---- .../tts/layers/glow_tts/duration_predictor.py | 10 +- .../tts/layers/glow_tts/encoder.py | 65 ++-- .../tts/layers/glow_tts/glow_v2.py | 125 ------- .../tts/layers/glow_tts/transformer.py | 318 +++++++++++++++--- mozilla_voice_tts/tts/models/glow_tts.py | 6 + 9 files changed, 319 insertions(+), 498 deletions(-) delete mode 100644 mozilla_voice_tts/tts/layers/glow_tts/attention.py delete mode 100644 mozilla_voice_tts/tts/layers/glow_tts/commons.py delete mode 100644 mozilla_voice_tts/tts/layers/glow_tts/glow_v2.py diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 2600e369..6d7ceb75 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -121,6 +121,8 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): num_splits=4, num_sqz=2, sigmoid_scale=False, + rel_attn_window_size=4, + input_length=None, mean_only=True, hidden_channels_enc=192, hidden_channels_dec=192, diff --git a/mozilla_voice_tts/bin/train_glow_tts.py b/mozilla_voice_tts/bin/train_glow_tts.py index 72b8a7f1..186f2c18 100644 --- a/mozilla_voice_tts/bin/train_glow_tts.py +++ b/mozilla_voice_tts/bin/train_glow_tts.py @@ -18,25 +18,29 @@ from mozilla_voice_tts.tts.datasets.TTSDataset import MyDataset from mozilla_voice_tts.tts.layers.losses import GlowTTSLoss from mozilla_voice_tts.utils.console_logger import ConsoleLogger from mozilla_voice_tts.tts.utils.distribute import (DistributedSampler, - init_distributed, reduce_tensor) + init_distributed, + reduce_tensor) from mozilla_voice_tts.tts.utils.generic_utils import check_config, setup_model from mozilla_voice_tts.tts.utils.io import save_best_model, save_checkpoint from mozilla_voice_tts.tts.utils.measures import alignment_diagonal_score -from mozilla_voice_tts.tts.utils.speakers import (get_speakers, load_speaker_mapping, - save_speaker_mapping) +from mozilla_voice_tts.tts.utils.speakers import (get_speakers, + load_speaker_mapping, + save_speaker_mapping) from mozilla_voice_tts.tts.utils.synthesis import synthesis from mozilla_voice_tts.tts.utils.text.symbols import make_symbols, phonemes, symbols from mozilla_voice_tts.tts.utils.visual import plot_alignment, plot_spectrogram from mozilla_voice_tts.utils.audio import AudioProcessor -from mozilla_voice_tts.utils.generic_utils import (KeepAverage, count_parameters, - create_experiment_folder, get_git_branch, - remove_experiment_folder, set_init_dict) +from mozilla_voice_tts.utils.generic_utils import ( + KeepAverage, count_parameters, create_experiment_folder, get_git_branch, + remove_experiment_folder, set_init_dict) from mozilla_voice_tts.utils.io import copy_config_file, load_config from mozilla_voice_tts.utils.radam import RAdam from mozilla_voice_tts.utils.tensorboard_logger import TensorboardLogger -from mozilla_voice_tts.utils.training import (NoamLR, adam_weight_decay, check_update, - gradual_training_scheduler, set_weight_decay, - setup_torch_training_env) +from mozilla_voice_tts.utils.training import (NoamLR, adam_weight_decay, + check_update, + gradual_training_scheduler, + set_weight_decay, + setup_torch_training_env) use_cuda, num_gpus = setup_torch_training_env(True, False) @@ -118,7 +122,7 @@ def data_depended_init(model, ap): if getattr(f, "set_ddi", False): f.set_ddi(True) else: - for f in model.decoder.flows: + for f in model.decoder.flows: if getattr(f, "set_ddi", False): f.set_ddi(True) @@ -142,7 +146,7 @@ def data_depended_init(model, ap): if getattr(f, "set_ddi", False): f.set_ddi(False) else: - for f in model.decoder.flows: + for f in model.decoder.flows: if getattr(f, "set_ddi", False): f.set_ddi(False) return model diff --git a/mozilla_voice_tts/tts/layers/glow_tts/attention.py b/mozilla_voice_tts/tts/layers/glow_tts/attention.py deleted file mode 100644 index f7e14ddc..00000000 --- a/mozilla_voice_tts/tts/layers/glow_tts/attention.py +++ /dev/null @@ -1,202 +0,0 @@ -import copy -import math -import numpy as np -import torch -from torch import nn -from torch.nn import functional as F - - -def convert_pad_shape(pad_shape): - l = pad_shape[::-1] - pad_shape = [item for sublist in l for item in sublist] - return pad_shape - - -class MultiHeadAttention(nn.Module): - def __init__(self, - channels, - out_channels, - n_heads, - window_size=None, - heads_share=True, - dropout_p=0., - input_length=None, - proximal_bias=False, - proximal_init=False): - super().__init__() - assert channels % n_heads == 0 - - self.channels = channels - self.out_channels = out_channels - self.n_heads = n_heads - self.window_size = window_size - self.heads_share = heads_share - self.input_length = input_length - self.proximal_bias = proximal_bias - self.dropout_p = dropout_p - self.attn = None - - self.k_channels = channels // n_heads - self.conv_q = nn.Conv1d(channels, channels, 1) - self.conv_k = nn.Conv1d(channels, channels, 1) - self.conv_v = nn.Conv1d(channels, channels, 1) - if window_size is not None: - n_heads_rel = 1 if heads_share else n_heads - rel_stddev = self.k_channels**-0.5 - self.emb_rel_k = nn.Parameter( - torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) - * rel_stddev) - self.emb_rel_v = nn.Parameter( - torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) - * rel_stddev) - self.conv_o = nn.Conv1d(channels, out_channels, 1) - self.drop = nn.Dropout(dropout_p) - - nn.init.xavier_uniform_(self.conv_q.weight) - nn.init.xavier_uniform_(self.conv_k.weight) - if proximal_init: - self.conv_k.weight.data.copy_(self.conv_q.weight.data) - self.conv_k.bias.data.copy_(self.conv_q.bias.data) - nn.init.xavier_uniform_(self.conv_v.weight) - - def forward(self, x, c, attn_mask=None): - q = self.conv_q(x) - k = self.conv_k(c) - v = self.conv_v(c) - - x, self.attn = self.attention(q, k, v, mask=attn_mask) - - x = self.conv_o(x) - return x - - def attention(self, query, key, value, mask=None): - # reshape [b, d, t] -> [b, n_h, t, d_k] - b, d, t_s, t_t = (*key.size(), query.size(2)) - query = query.view(b, self.n_heads, self.k_channels, - t_t).transpose(2, 3) - key = key.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3) - value = value.view(b, self.n_heads, self.k_channels, - t_s).transpose(2, 3) - - scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt( - self.k_channels) - if self.window_size is not None: - assert t_s == t_t, "Relative attention is only available for self-attention." - key_relative_embeddings = self._get_relative_embeddings( - self.emb_rel_k, t_s) - rel_logits = self._matmul_with_relative_keys( - query, key_relative_embeddings) - rel_logits = self._relative_position_to_absolute_position( - rel_logits) - scores_local = rel_logits / math.sqrt(self.k_channels) - scores = scores + scores_local - if self.proximal_bias: - assert t_s == t_t, "Proximal bias is only available for self-attention." - scores = scores + self._attention_bias_proximal(t_s).to( - device=scores.device, dtype=scores.dtype) - if mask is not None: - scores = scores.masked_fill(mask == 0, -1e4) - if self.input_length is not None: - block_mask = torch.ones_like(scores).triu( - -self.input_length).tril(self.input_length) - scores = scores * block_mask + -1e4 * (1 - block_mask) - p_attn = F.softmax(scores, dim=-1) # [b, n_h, t_t, t_s] - p_attn = self.drop(p_attn) - output = torch.matmul(p_attn, value) - if self.window_size is not None: - relative_weights = self._absolute_position_to_relative_position( - p_attn) - value_relative_embeddings = self._get_relative_embeddings( - self.emb_rel_v, t_s) - output = output + self._matmul_with_relative_values( - relative_weights, value_relative_embeddings) - output = output.transpose(2, 3).contiguous().view( - b, d, t_t) # [b, n_h, t_t, d_k] -> [b, d, t_t] - return output, p_attn - - def _matmul_with_relative_values(self, x, y): - """ - x: [b, h, l, m] - y: [h or 1, m, d] - ret: [b, h, l, d] - """ - ret = torch.matmul(x, y.unsqueeze(0)) - return ret - - def _matmul_with_relative_keys(self, x, y): - """ - x: [b, h, l, d] - y: [h or 1, m, d] - ret: [b, h, l, m] - """ - ret = torch.matmul(x, y.unsqueeze(0).transpose(-2, -1)) - return ret - - def _get_relative_embeddings(self, relative_embeddings, length): - max_relative_position = 2 * self.window_size + 1 - # Pad first before slice to avoid using cond ops. - pad_length = max(length - (self.window_size + 1), 0) - slice_start_position = max((self.window_size + 1) - length, 0) - slice_end_position = slice_start_position + 2 * length - 1 - if pad_length > 0: - padded_relative_embeddings = F.pad( - relative_embeddings, - convert_pad_shape([[0, 0], [pad_length, pad_length], - [0, 0]])) - else: - padded_relative_embeddings = relative_embeddings - used_relative_embeddings = padded_relative_embeddings[:, - slice_start_position: - slice_end_position] - return used_relative_embeddings - - def _relative_position_to_absolute_position(self, x): - """ - x: [b, h, l, 2*l-1] - ret: [b, h, l, l] - """ - batch, heads, length, _ = x.size() - # Concat columns of pad to shift from relative to absolute indexing. - x = F.pad(x, convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, - 1]])) - - # Concat extra elements so to add up to shape (len+1, 2*len-1). - x_flat = x.view([batch, heads, length * 2 * length]) - x_flat = F.pad( - x_flat, convert_pad_shape([[0, 0], [0, 0], [0, - length - 1]])) - - # Reshape and slice out the padded elements. - x_final = x_flat.view([batch, heads, length + 1, - 2 * length - 1])[:, :, :length, length - 1:] - return x_final - - def _absolute_position_to_relative_position(self, x): - """ - x: [b, h, l, l] - ret: [b, h, l, 2*l-1] - """ - batch, heads, length, _ = x.size() - # padd along column - x = F.pad( - x, - convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, - length - 1]])) - x_flat = x.view([batch, heads, length**2 + length * (length - 1)]) - # add 0's in the beginning that will skew the elements after reshape - x_flat = F.pad( - x_flat, convert_pad_shape([[0, 0], [0, 0], [length, 0]])) - x_final = x_flat.view([batch, heads, length, 2 * length])[:, :, :, 1:] - return x_final - - def _attention_bias_proximal(self, length): - """Bias for self-attention to encourage attention to close positions. - Args: - length: an integer scalar. - Returns: - a Tensor with shape [1, 1, length, length] - """ - r = torch.arange(length, dtype=torch.float32) - diff = torch.unsqueeze(r, 0) - torch.unsqueeze(r, 1) - return torch.unsqueeze( - torch.unsqueeze(-torch.log1p(torch.abs(diff)), 0), 0) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/commons.py b/mozilla_voice_tts/tts/layers/glow_tts/commons.py deleted file mode 100644 index 5724a909..00000000 --- a/mozilla_voice_tts/tts/layers/glow_tts/commons.py +++ /dev/null @@ -1,63 +0,0 @@ -import math -import numpy as np -import torch -from torch import nn -from torch.nn import functional as F - - -def convert_pad_shape(pad_shape): - l = pad_shape[::-1] - pad_shape = [item for sublist in l for item in sublist] - return pad_shape - - -def shift_1d(x): - x = F.pad(x, convert_pad_shape([[0, 0], [0, 0], [1, 0]]))[:, :, :-1] - return x - - -def sequence_mask(length, max_length=None): - if max_length is None: - max_length = length.max() - x = torch.arange(max_length, dtype=length.dtype, device=length.device) - return x.unsqueeze(0) < length.unsqueeze(1) - - -def maximum_path(value, mask, max_neg_val=-np.inf): - """ Numpy-friendly version. It's about 4 times faster than torch version. - value: [b, t_x, t_y] - mask: [b, t_x, t_y] - """ - value = value * mask - - device = value.device - dtype = value.dtype - value = value.cpu().detach().numpy() - mask = mask.cpu().detach().numpy().astype(np.bool) - - b, t_x, t_y = value.shape - direction = np.zeros(value.shape, dtype=np.int64) - v = np.zeros((b, t_x), dtype=np.float32) - x_range = np.arange(t_x, dtype=np.float32).reshape(1, -1) - for j in range(t_y): - v0 = np.pad(v, [[0, 0], [1, 0]], - mode="constant", - constant_values=max_neg_val)[:, :-1] - v1 = v - max_mask = (v1 >= v0) - v_max = np.where(max_mask, v1, v0) - direction[:, :, j] = max_mask - - index_mask = (x_range <= j) - v = np.where(index_mask, v_max + value[:, :, j], max_neg_val) - direction = np.where(mask, direction, 1) - - path = np.zeros(value.shape, dtype=np.float32) - index = mask[:, :, 0].sum(1).astype(np.int64) - 1 - index_range = np.arange(b) - for j in reversed(range(t_y)): - path[index_range, index, j] = 1 - index = index + direction[index_range, index, j] - 1 - path = path * mask.astype(np.float32) - path = torch.from_numpy(path).to(device=device, dtype=dtype) - return path diff --git a/mozilla_voice_tts/tts/layers/glow_tts/duration_predictor.py b/mozilla_voice_tts/tts/layers/glow_tts/duration_predictor.py index 4b17177e..5a321662 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/duration_predictor.py +++ b/mozilla_voice_tts/tts/layers/glow_tts/duration_predictor.py @@ -1,21 +1,16 @@ -import copy -import math -import numpy as np -import scipy import torch from torch import nn -from torch.nn import functional as F class DurationPredictor(nn.Module): def __init__(self, in_channels, filter_channels, kernel_size, dropout_p): super().__init__() - + # class arguments self.in_channels = in_channels self.filter_channels = filter_channels self.kernel_size = kernel_size self.dropout_p = dropout_p - + # layers self.drop = nn.Dropout(dropout_p) self.conv_1 = nn.Conv1d(in_channels, filter_channels, @@ -27,6 +22,7 @@ class DurationPredictor(nn.Module): kernel_size, padding=kernel_size // 2) self.norm_2 = nn.GroupNorm(1, filter_channels) + # output layer self.proj = nn.Conv1d(filter_channels, 1, 1) def forward(self, x, x_mask): diff --git a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py index d8bbc07c..b0e40ca4 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py +++ b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py @@ -1,33 +1,13 @@ import math import torch from torch import nn -from torch.nn import functional as F +from mozilla_voice_tts.tts.layers.glow_tts.transformer import Transformer from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask from mozilla_voice_tts.tts.layers.glow_tts.glow import ConvLayerNorm from mozilla_voice_tts.tts.layers.glow_tts.duration_predictor import DurationPredictor -class PositionalEncoding(nn.Module): - def __init__(self, d_model, max_len=5000): - super(PositionalEncoding, self).__init__() - self.register_buffer('pe', self._get_pe_matrix(d_model, max_len)) - - def forward(self, x): - return x + self.pe[:x.size(0)].unsqueeze(1) - - def _get_pe_matrix(self, d_model, max_len): - pe = torch.zeros(max_len, d_model) - position = torch.arange(0, max_len, dtype=torch.float).unsqueeze(1) - div_term = torch.pow(10000, - torch.arange(0, d_model, 2).float() / d_model) - - pe[:, 0::2] = torch.sin(position / div_term) - pe[:, 1::2] = torch.cos(position / div_term) - - return pe - - class Encoder(nn.Module): """Glow-TTS encoder module. We use Pytorch TransformerEncoder instead of the one with relative position embedding. We use positional encoding @@ -60,12 +40,13 @@ class Encoder(nn.Module): num_layers, kernel_size, dropout_p, + rel_attn_window_size=None, + input_length=None, mean_only=False, use_prenet=False, c_in_channels=0): - super().__init__() - + # class arguments self.num_chars = num_chars self.out_channels = out_channels self.hidden_channels = hidden_channels @@ -78,11 +59,10 @@ class Encoder(nn.Module): self.mean_only = mean_only self.use_prenet = use_prenet self.c_in_channels = c_in_channels - + # embedding layer self.emb = nn.Embedding(num_chars, hidden_channels) nn.init.normal_(self.emb.weight, 0.0, hidden_channels**-0.5) - self.register_buffer('pe', PositionalEncoding(hidden_channels).pe) - + # optional convolutional prenet if use_prenet: self.pre = ConvLayerNorm(hidden_channels, hidden_channels, @@ -90,49 +70,50 @@ class Encoder(nn.Module): kernel_size=5, num_layers=3, dropout_p=0.5) - - encoder = nn.TransformerEncoderLayer(hidden_channels, - num_heads, - dim_feedforward=filter_channels, - dropout=dropout_p) - self.encoder = nn.TransformerEncoder(encoder, num_layers) - + # text encoder + self.encoder = Transformer(hidden_channels, + filter_channels, + num_heads, + num_layers, + kernel_size=kernel_size, + dropout_p=dropout_p, + rel_attn_window_size=rel_attn_window_size, + input_length=input_length) + # final projection layers self.proj_m = nn.Conv1d(hidden_channels, out_channels, 1) if not mean_only: self.proj_s = nn.Conv1d(hidden_channels, out_channels, 1) + # duration predictor self.duration_predictor = DurationPredictor( hidden_channels + c_in_channels, filter_channels_dp, kernel_size, dropout_p) def forward(self, x, x_lengths, g=None): - # pass embedding layer + # embedding layer # [B ,T, D] x = self.emb(x) * math.sqrt(self.hidden_channels) - x = x + self.pe[:x.shape[1]].unsqueeze(0) # [B, D, T] x = torch.transpose(x, 1, -1) # compute input sequence mask x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.size(2)), 1).to(x.dtype) - # pass pre-conv layers + # pre-conv layers if self.use_prenet: x = self.pre(x, x_mask) - # pass encoder - x = self.encoder(x.permute(2, 0, 1), - src_key_padding_mask=~(x_mask.squeeze(1).to(bool))) - x = x.permute(1, 2, 0) + # encoder + x = self.encoder(x, x_mask) # set duration predictor input if g is not None: g_exp = g.expand(-1, -1, x.size(-1)) x_dp = torch.cat([torch.detach(x), g_exp], 1) else: x_dp = torch.detach(x) - # pass final projection layer + # final projection layer x_m = self.proj_m(x) * x_mask if not self.mean_only: x_logs = self.proj_s(x) * x_mask else: x_logs = torch.zeros_like(x_m) - # pass duration predictor + # duration predictor logw = self.duration_predictor(x_dp, x_mask) return x_m, x_logs, logw, x_mask diff --git a/mozilla_voice_tts/tts/layers/glow_tts/glow_v2.py b/mozilla_voice_tts/tts/layers/glow_tts/glow_v2.py deleted file mode 100644 index 28bf960f..00000000 --- a/mozilla_voice_tts/tts/layers/glow_tts/glow_v2.py +++ /dev/null @@ -1,125 +0,0 @@ -import torch -from torch import nn -from torch.nn import functional as F - -from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask -from mozilla_voice_tts.tts.layers.glow_tts.glow import InvConvNear, CouplingBlock, ActNorm, BatchNorm - - -def squeeze(x, x_mask=None, num_sqz=2): - b, c, t = x.size() - - t = (t // num_sqz) * num_sqz - x = x[:, :, :t] - x_sqz = x.view(b, c, t // num_sqz, num_sqz) - x_sqz = x_sqz.permute(0, 3, 1, - 2).contiguous().view(b, c * num_sqz, t // num_sqz) - - if x_mask is not None: - x_mask = x_mask[:, :, num_sqz - 1::num_sqz] - else: - x_mask = torch.ones(b, 1, t // num_sqz).to(device=x.device, - dtype=x.dtype) - return x_sqz * x_mask, x_mask - - -def unsqueeze(x, x_mask=None, num_sqz=2): - b, c, t = x.size() - - x_unsqz = x.view(b, num_sqz, c // num_sqz, t) - x_unsqz = x_unsqz.permute(0, 2, 3, - 1).contiguous().view(b, c // num_sqz, - t * num_sqz) - - if x_mask is not None: - x_mask = x_mask.unsqueeze(-1).repeat(1, 1, 1, - num_sqz).view(b, 1, t * num_sqz) - else: - x_mask = torch.ones(b, 1, t * num_sqz).to(device=x.device, - dtype=x.dtype) - return x_unsqz * x_mask, x_mask - - -class Decoder(nn.Module): - """Stack of Glow Modules""" - def __init__(self, - in_channels, - hidden_channels, - kernel_size, - dilation_rate, - num_blocks, - num_coupling_layers, - dropout_p=0., - num_splits=4, - num_sqz=2, - sigmoid_scale=False, - c_in_channels=0): - super().__init__() - - self.in_channels = in_channels - self.hidden_channels = hidden_channels - self.kernel_size = kernel_size - self.dilation_rate = dilation_rate - self.num_blocks = num_blocks - self.num_coupling_layers = num_coupling_layers - self.dropout_p = dropout_p - self.num_splits = num_splits - self.num_sqz = num_sqz - self.sigmoid_scale = sigmoid_scale - self.c_in_channels = c_in_channels - - self.norm_layers = nn.ModuleList() - self.invconv_layers = nn.ModuleList() - self.coupling_layers = nn.ModuleList() - - for _ in range(num_blocks): - self.norm_layers.append(ActNorm(in_channels=in_channels * num_sqz)) - self.invconv_layers.append( - InvConvNear(channels=in_channels * num_sqz, - num_splits=num_splits)) - self.coupling_layers.append( - CouplingBlock(in_channels * num_sqz, - hidden_channels, - kernel_size=kernel_size, - dilation_rate=dilation_rate, - num_layers=num_coupling_layers, - c_in_channels=c_in_channels, - dropout_p=dropout_p, - sigmoid_scale=sigmoid_scale)) - - def forward(self, x, x_mask, g=None, reverse=False): - if not reverse: - # norm_layers = self.norm_layers - invconv_layers = self.invconv_layers - coupling_layers = self.coupling_layers - logdet_tot = 0 - else: - # norm_layers = reversed(self.norm_layers) - invconv_layers = self.invconv_layers[::-1] - coupling_layers = self.coupling_layers[::-1] - logdet_tot = None - - if self.num_sqz > 1: - x, x_mask = squeeze(x, x_mask, self.num_sqz) - for idx in range(len(self.invconv_layers)): - if not reverse: - # x, log_det = norm_layers[idx](x, reverse) - # logdet_tot += log_det - - x, log_det = invconv_layers[idx](x, x_mask, reverse) - logdet_tot += log_det - - x, log_det = coupling_layers[idx](x, x_mask, g=g, reverse=reverse) - logdet_tot += log_det - else: - x, log_det = coupling_layers[idx](x, x_mask, g=g, reverse=reverse) - x, log_det = invconv_layers[idx](x, x_mask, reverse) - # x, logdet = norm_layers[idx](x, reverse) - - if self.num_sqz > 1: - x, x_mask = unsqueeze(x, x_mask, self.num_sqz) - return x, logdet_tot - - def store_inverse(self): - for f in self.flows: - f.store_inverse() \ No newline at end of file diff --git a/mozilla_voice_tts/tts/layers/glow_tts/transformer.py b/mozilla_voice_tts/tts/layers/glow_tts/transformer.py index 0081130e..366e48a8 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/transformer.py +++ b/mozilla_voice_tts/tts/layers/glow_tts/transformer.py @@ -1,67 +1,232 @@ +import copy +import math +import numpy as np import torch from torch import nn from torch.nn import functional as F -from mozilla_voice_tts.tts.layers.glow_tts.attention import MultiHeadAttention +from mozilla_voice_tts.tts.layers.glow_tts.glow import LayerNorm -class Transformer(nn.Module): +class RelativePositionMultiHeadAttention(nn.Module): + """Implementation of https://arxiv.org/pdf/1803.02155.pdf + Visualization of the algorithm + https://raw.githubusercontent.com/Separius/CudaRelativeAttention/master/algorithm.png + """ def __init__(self, - hidden_channels, - filter_channels, + channels, + out_channels, num_heads, - num_layers, - kernel_size=1, - dropout_p=0., rel_attn_window_size=None, + heads_share=True, + dropout_p=0., input_length=None, - **kwargs): + proximal_bias=False, + proximal_init=False): super().__init__() - self.hidden_channels = hidden_channels - self.filter_channels = filter_channels + assert channels % num_heads == 0, " [!] channels should be divisible by num_heads." + # class attributes + self.channels = channels + self.out_channels = out_channels self.num_heads = num_heads - self.num_layers = num_layers - self.kernel_size = kernel_size - self.dropout_p = dropout_p self.rel_attn_window_size = rel_attn_window_size + self.heads_share = heads_share self.input_length = input_length + self.proximal_bias = proximal_bias + self.dropout_p = dropout_p + self.attn = None + # query, key, value layers + self.k_channels = channels // num_heads + self.conv_q = nn.Conv1d(channels, channels, 1) + self.conv_k = nn.Conv1d(channels, channels, 1) + self.conv_v = nn.Conv1d(channels, channels, 1) + # output layers + self.conv_o = nn.Conv1d(channels, out_channels, 1) + self.dropout = nn.Dropout(dropout_p) + # relative positional encoding layers + if rel_attn_window_size is not None: + n_heads_rel = 1 if heads_share else num_heads + rel_stddev = self.k_channels**-0.5 + emb_rel_k = nn.Parameter( + torch.randn(n_heads_rel, rel_attn_window_size * 2 + 1, + self.k_channels) * rel_stddev) + emb_rel_v = nn.Parameter( + torch.randn(n_heads_rel, rel_attn_window_size * 2 + 1, + self.k_channels) * rel_stddev) + self.register_parameter('emb_rel_k', emb_rel_k) + self.register_parameter('emb_rel_v', emb_rel_v) - self.drop = nn.Dropout(dropout_p) - self.attn_layers = nn.ModuleList() - self.norm_layers_1 = nn.ModuleList() - self.ffn_layers = nn.ModuleList() - self.norm_layers_2 = nn.ModuleList() - for _ in range(self.num_layers): - self.attn_layers.append( - MultiHeadAttention(hidden_channels, - hidden_channels, - num_heads, - window_size=rel_attn_window_size, - dropout_p=dropout_p, - input_length=input_length)) - self.norm_layers_1.append(nn.GroupNorm(1, hidden_channels)) - self.ffn_layers.append( - FFN(hidden_channels, - hidden_channels, - filter_channels, - kernel_size, - dropout_p=dropout_p)) - self.norm_layers_2.append(nn.GroupNorm(1, hidden_channels)) + # init layers + nn.init.xavier_uniform_(self.conv_q.weight) + nn.init.xavier_uniform_(self.conv_k.weight) + # proximal bias + if proximal_init: + self.conv_k.weight.data.copy_(self.conv_q.weight.data) + self.conv_k.bias.data.copy_(self.conv_q.bias.data) + nn.init.xavier_uniform_(self.conv_v.weight) - def forward(self, x, x_mask): - attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1) - for i in range(self.num_layers): - x = x * x_mask - y = self.attn_layers[i](x, x, attn_mask) - y = self.drop(y) - x = self.norm_layers_1[i](x + y) - - y = self.ffn_layers[i](x, x_mask) - y = self.drop(y) - x = self.norm_layers_2[i](x + y) - x = x * x_mask + def forward(self, x, c, attn_mask=None): + q = self.conv_q(x) + k = self.conv_k(c) + v = self.conv_v(c) + x, self.attn = self.attention(q, k, v, mask=attn_mask) + x = self.conv_o(x) return x + def attention(self, query, key, value, mask=None): + # reshape [b, d, t] -> [b, n_h, t, d_k] + b, d, t_s, t_t = (*key.size(), query.size(2)) + query = query.view(b, self.num_heads, self.k_channels, + t_t).transpose(2, 3) + key = key.view(b, self.num_heads, self.k_channels, t_s).transpose(2, 3) + value = value.view(b, self.num_heads, self.k_channels, + t_s).transpose(2, 3) + # compute raw attention scores + scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt( + self.k_channels) + # relative positional encoding + if self.rel_attn_window_size is not None: + assert t_s == t_t, "Relative attention is only available for self-attention." + # get relative key embeddings + breakpoint() + key_relative_embeddings = self._get_relative_embeddings( + self.emb_rel_k, t_s) + rel_logits = self._matmul_with_relative_keys( + query, key_relative_embeddings) + rel_logits = self._relative_position_to_absolute_position( + rel_logits) + scores_local = rel_logits / math.sqrt(self.k_channels) + scores = scores + scores_local + # proximan bias + if self.proximal_bias: + assert t_s == t_t, "Proximal bias is only available for self-attention." + scores = scores + self._attn_proximity_bias(t_s).to( + device=scores.device, dtype=scores.dtype) + # attention score masking + if mask is not None: + # add small value to prevent oor error. + scores = scores.masked_fill(mask == 0, -1e4) + if self.input_length is not None: + block_mask = torch.ones_like(scores).triu( + -self.input_length).tril(self.input_length) + scores = scores * block_mask + -1e4 * (1 - block_mask) + # attention score normalization + p_attn = F.softmax(scores, dim=-1) # [b, n_h, t_t, t_s] + # apply dropout to attention weights + p_attn = self.dropout(p_attn) + # compute output + output = torch.matmul(p_attn, value) + # relative positional encoding for values + if self.rel_attn_window_size is not None: + relative_weights = self._absolute_position_to_relative_position( + p_attn) + value_relative_embeddings = self._get_relative_embeddings( + self.emb_rel_v, t_s) + output = output + self._matmul_with_relative_values( + relative_weights, value_relative_embeddings) + output = output.transpose(2, 3).contiguous().view( + b, d, t_t) # [b, n_h, t_t, d_k] -> [b, d, t_t] + return output, p_attn + + def _matmul_with_relative_values(self, p_attn, re): + """ + Args: + p_attn (Tensor): attention weights. + re (Tensor): relative value embedding vector. (a_(i,j)^V) + + Shapes: + p_attn: [B, H, T, V] + re: [H or 1, V, D] + logits: [B, H, T, D] + """ + logits = torch.matmul(p_attn, re.unsqueeze(0)) + return logits + + @staticmethod + def _matmul_with_relative_keys(query, re): + """ + Args: + query (Tensor): batch of query vectors. (x*W^Q) + re (Tensor): relative key embedding vector. (a_(i,j)^K) + + Shapes: + query: [B, H, T, D] + re: [H or 1, V, D] + logits: [B, H, T, V] + """ + # logits = torch.einsum('bhld, kmd -> bhlm', [query, re.to(query.dtype)]) + logits = torch.matmul(query, re.unsqueeze(0).transpose(-2, -1)) + return logits + + def _get_relative_embeddings(self, relative_embeddings, length): + """Convert embedding vestors to a tensor of embeddings + """ + # Pad first before slice to avoid using cond ops. + pad_length = max(length - (self.rel_attn_window_size + 1), 0) + slice_start_position = max((self.rel_attn_window_size + 1) - length, 0) + slice_end_position = slice_start_position + 2 * length - 1 + if pad_length > 0: + padded_relative_embeddings = F.pad( + relative_embeddings, [0, 0, pad_length, pad_length, 0, 0]) + else: + padded_relative_embeddings = relative_embeddings + used_relative_embeddings = padded_relative_embeddings[:, + slice_start_position: + slice_end_position] + return used_relative_embeddings + + @staticmethod + def _relative_position_to_absolute_position(x): + """Converts tensor from relative to absolute indexing for local attention. + Args: + x: [B, D, length, 2 * length - 1] + Returns: + A Tensor of shape [B, D, length, length] + """ + batch, heads, length, _ = x.size() + # Pad to shift from relative to absolute indexing. + x = F.pad(x, [0, 1, 0, 0, 0, 0, 0, 0]) + # Pad extra elements so to add up to shape (len+1, 2*len-1). + x_flat = x.view([batch, heads, length * 2 * length]) + x_flat = F.pad(x_flat, [0, length - 1, 0, 0, 0, 0]) + # Reshape and slice out the padded elements. + x_final = x_flat.view([batch, heads, length + 1, + 2 * length - 1])[:, :, :length, length - 1:] + return x_final + + @staticmethod + def _absolute_position_to_relative_position(x): + """ + x: [B, H, T, T] + ret: [B, H, T, 2*T-1] + """ + batch, heads, length, _ = x.size() + # padd along column + x = F.pad(x, [0, length - 1, 0, 0, 0, 0, 0, 0]) + x_flat = x.view([batch, heads, length**2 + length * (length - 1)]) + # add 0's in the beginning that will skew the elements after reshape + x_flat = F.pad(x_flat, [length, 0, 0, 0, 0, 0]) + x_final = x_flat.view([batch, heads, length, 2 * length])[:, :, :, 1:] + return x_final + + @staticmethod + def _attn_proximity_bias(length): + """Produce an attention mask that discourages distant + attention values. + Args: + length (int): an integer scalar. + Returns: + a Tensor with shape [1, 1, length, length] + """ + # L + r = torch.arange(length, dtype=torch.float32) + # L x L + diff = torch.unsqueeze(r, 0) - torch.unsqueeze(r, 1) + # scale mask values + diff = -torch.log1p(torch.abs(diff)) + # 1 x 1 x L x L + return diff.unsqueeze(0).unsqueeze(0) + class FFN(nn.Module): def __init__(self, @@ -87,7 +252,7 @@ class FFN(nn.Module): out_channels, kernel_size, padding=kernel_size // 2) - self.drop = nn.Dropout(dropout_p) + self.dropout = nn.Dropout(dropout_p) def forward(self, x, x_mask): x = self.conv_1(x * x_mask) @@ -95,6 +260,63 @@ class FFN(nn.Module): x = x * torch.sigmoid(1.702 * x) else: x = torch.relu(x) - x = self.drop(x) + x = self.dropout(x) x = self.conv_2(x * x_mask) return x * x_mask + + +class Transformer(nn.Module): + def __init__(self, + hidden_channels, + filter_channels, + num_heads, + num_layers, + kernel_size=1, + dropout_p=0., + rel_attn_window_size=None, + input_length=None): + super().__init__() + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.num_heads = num_heads + self.num_layers = num_layers + self.kernel_size = kernel_size + self.dropout_p = dropout_p + self.rel_attn_window_size = rel_attn_window_size + + self.dropout = nn.Dropout(dropout_p) + self.attn_layers = nn.ModuleList() + self.norm_layers_1 = nn.ModuleList() + self.ffn_layers = nn.ModuleList() + self.norm_layers_2 = nn.ModuleList() + for _ in range(self.num_layers): + self.attn_layers.append( + RelativePositionMultiHeadAttention( + hidden_channels, + hidden_channels, + num_heads, + rel_attn_window_size=rel_attn_window_size, + dropout_p=dropout_p, + input_length=input_length)) + self.norm_layers_1.append(LayerNorm(hidden_channels)) + self.ffn_layers.append( + FFN(hidden_channels, + hidden_channels, + filter_channels, + kernel_size, + dropout_p=dropout_p)) + self.norm_layers_2.append(LayerNorm(hidden_channels)) + + def forward(self, x, x_mask): + attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1) + for i in range(self.num_layers): + x = x * x_mask + y = self.attn_layers[i](x, x, attn_mask) + y = self.dropout(y) + x = self.norm_layers_1[i](x + y) + + y = self.ffn_layers[i](x, x_mask) + y = self.dropout(y) + x = self.norm_layers_2[i](x + y) + x = x * x_mask + return x diff --git a/mozilla_voice_tts/tts/models/glow_tts.py b/mozilla_voice_tts/tts/models/glow_tts.py index cac6ec1c..9bb96ae4 100644 --- a/mozilla_voice_tts/tts/models/glow_tts.py +++ b/mozilla_voice_tts/tts/models/glow_tts.py @@ -31,6 +31,8 @@ class GlowTts(nn.Module): num_splits=4, num_sqz=1, sigmoid_scale=False, + rel_attn_window_size=None, + input_length=None, mean_only=False, hidden_channels_enc=None, hidden_channels_dec=None, @@ -56,6 +58,8 @@ class GlowTts(nn.Module): self.num_splits = num_splits self.num_sqz = num_sqz self.sigmoid_scale = sigmoid_scale + self.rel_attn_window_size = rel_attn_window_size + self.input_length = input_length self.mean_only = mean_only self.hidden_channels_enc = hidden_channels_enc self.hidden_channels_dec = hidden_channels_dec @@ -72,6 +76,8 @@ class GlowTts(nn.Module): num_layers_enc, kernel_size, dropout_p, + rel_attn_window_size=rel_attn_window_size, + input_length=input_length, mean_only=mean_only, use_prenet=True, c_in_channels=c_in_channels) From 1b238f04b2c7b018adb9699528d1f0c9353ab4b0 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 17 Aug 2020 12:34:51 +0200 Subject: [PATCH 12/26] add gated conv encoder to glow-tts --- TTS/tts/utils/generic_utils.py | 1 + .../tts/layers/glow_tts/encoder.py | 98 ++++++++++++++----- mozilla_voice_tts/tts/models/glow_tts.py | 4 +- 3 files changed, 78 insertions(+), 25 deletions(-) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 6d7ceb75..e93a14f7 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -110,6 +110,7 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): kernel_size=3, num_heads=2, num_layers_enc=6, + encoder_type=c.encoder_type, dropout_p=0.1, num_flow_blocks_dec=12, kernel_size_dec=5, diff --git a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py index b0e40ca4..c44116ad 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py +++ b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py @@ -4,14 +4,53 @@ from torch import nn from mozilla_voice_tts.tts.layers.glow_tts.transformer import Transformer from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask -from mozilla_voice_tts.tts.layers.glow_tts.glow import ConvLayerNorm +from mozilla_voice_tts.tts.layers.glow_tts.glow import ConvLayerNorm, LayerNorm from mozilla_voice_tts.tts.layers.glow_tts.duration_predictor import DurationPredictor +class GatedConvBlock(nn.Module): + """Gated convolutional block as in https://arxiv.org/pdf/1612.08083.pdf + Args: + in_out_channels (int): number of input/output channels. + kernel_size (int): convolution kernel size. + dropout_p (float): dropout rate. + """ + def __init__(self, in_out_channels, kernel_size, dropout_p, num_layers): + super().__init__() + # class arguments + self.dropout_p = dropout_p + self.num_layers = num_layers + # define layers + self.conv_layers = nn.ModuleList() + self.norm_layers = nn.ModuleList() + self.layers = nn.ModuleList() + for _ in range(num_layers): + self.conv_layers += [ + nn.Conv1d(in_out_channels, + 2 * in_out_channels, + kernel_size, + padding=kernel_size // 2) + ] + self.norm_layers += [LayerNorm(2 * in_out_channels)] + + def forward(self, x, x_mask): + o = x + res = x + for idx in range(self.num_layers): + o = nn.functional.dropout(o, + p=self.dropout_p, + training=self.training) + o = self.conv_layers[idx](o * x_mask) + o = self.norm_layers[idx](o) + o = nn.functional.glu(o, dim=1) + o = res + o + res = o + return o + + class Encoder(nn.Module): - """Glow-TTS encoder module. We use Pytorch TransformerEncoder instead - of the one with relative position embedding. We use positional encoding - for capturing positiong information. + """Glow-TTS encoder module. It uses Transformer with Relative Pos.Encoding + as in the original paper or GatedConvBlock as a faster alternative. Args: num_chars (int): number of characters. @@ -29,13 +68,13 @@ class Encoder(nn.Module): Shapes: - input: (B, T, C) """ - def __init__(self, num_chars, out_channels, hidden_channels, filter_channels, filter_channels_dp, + encoder_type, num_heads, num_layers, kernel_size, @@ -59,26 +98,36 @@ class Encoder(nn.Module): self.mean_only = mean_only self.use_prenet = use_prenet self.c_in_channels = c_in_channels + self.encoder_type = encoder_type # embedding layer self.emb = nn.Embedding(num_chars, hidden_channels) nn.init.normal_(self.emb.weight, 0.0, hidden_channels**-0.5) - # optional convolutional prenet - if use_prenet: - self.pre = ConvLayerNorm(hidden_channels, - hidden_channels, - hidden_channels, - kernel_size=5, - num_layers=3, - dropout_p=0.5) - # text encoder - self.encoder = Transformer(hidden_channels, - filter_channels, - num_heads, - num_layers, - kernel_size=kernel_size, - dropout_p=dropout_p, - rel_attn_window_size=rel_attn_window_size, - input_length=input_length) + # init encoder + if encoder_type.lower() == "transformer": + # optional convolutional prenet + if use_prenet: + self.pre = ConvLayerNorm(hidden_channels, + hidden_channels, + hidden_channels, + kernel_size=5, + num_layers=3, + dropout_p=0.5) + # text encoder + self.encoder = Transformer( + hidden_channels, + filter_channels, + num_heads, + num_layers, + kernel_size=kernel_size, + dropout_p=dropout_p, + rel_attn_window_size=rel_attn_window_size, + input_length=input_length) + elif encoder_type.lower() == 'gatedconv': + breakpoint() + self.encoder = GatedConvBlock(hidden_channels, + kernel_size=5, + dropout_p=dropout_p, + num_layers=3 + num_layers) # final projection layers self.proj_m = nn.Conv1d(hidden_channels, out_channels, 1) if not mean_only: @@ -98,8 +147,9 @@ class Encoder(nn.Module): x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.size(2)), 1).to(x.dtype) # pre-conv layers - if self.use_prenet: - x = self.pre(x, x_mask) + if self.encoder_type == 'transformer': + if self.use_prenet: + x = self.pre(x, x_mask) # encoder x = self.encoder(x, x_mask) # set duration predictor input diff --git a/mozilla_voice_tts/tts/models/glow_tts.py b/mozilla_voice_tts/tts/models/glow_tts.py index 9bb96ae4..b7551086 100644 --- a/mozilla_voice_tts/tts/models/glow_tts.py +++ b/mozilla_voice_tts/tts/models/glow_tts.py @@ -36,7 +36,8 @@ class GlowTts(nn.Module): mean_only=False, hidden_channels_enc=None, hidden_channels_dec=None, - use_encoder_prenet=False): + use_encoder_prenet=False, + encoder_type="transformer"): super().__init__() self.num_chars = num_chars @@ -72,6 +73,7 @@ class GlowTts(nn.Module): hidden_channels_enc or hidden_channels, filter_channels, filter_channels_dp, + encoder_type, num_heads, num_layers_enc, kernel_size, From a012537908ce69c8b978a5755d687e8a9c15adaa Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 17 Aug 2020 12:45:24 +0200 Subject: [PATCH 13/26] remove breakpoint --- mozilla_voice_tts/tts/layers/glow_tts/encoder.py | 1 - 1 file changed, 1 deletion(-) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py index c44116ad..035997af 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py +++ b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py @@ -123,7 +123,6 @@ class Encoder(nn.Module): rel_attn_window_size=rel_attn_window_size, input_length=input_length) elif encoder_type.lower() == 'gatedconv': - breakpoint() self.encoder = GatedConvBlock(hidden_channels, kernel_size=5, dropout_p=dropout_p, From 1c1984d25b150dd703746372c55d0226a5840d1b Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 17 Aug 2020 16:41:31 +0200 Subject: [PATCH 14/26] comments update --- mozilla_voice_tts/tts/layers/glow_tts/transformer.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/transformer.py b/mozilla_voice_tts/tts/layers/glow_tts/transformer.py index 366e48a8..ab54b36f 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/transformer.py +++ b/mozilla_voice_tts/tts/layers/glow_tts/transformer.py @@ -9,9 +9,8 @@ from mozilla_voice_tts.tts.layers.glow_tts.glow import LayerNorm class RelativePositionMultiHeadAttention(nn.Module): - """Implementation of https://arxiv.org/pdf/1803.02155.pdf - Visualization of the algorithm - https://raw.githubusercontent.com/Separius/CudaRelativeAttention/master/algorithm.png + """Implementation of Relative Position Encoding based on + https://arxiv.org/pdf/1809.04281.pdf """ def __init__(self, channels, From 0ffe91b21dbf04ca9e6b2da2e54455eeabdf9ce8 Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 18 Aug 2020 13:24:06 +0200 Subject: [PATCH 15/26] remove breakpoint() --- mozilla_voice_tts/tts/layers/glow_tts/transformer.py | 1 - 1 file changed, 1 deletion(-) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/transformer.py b/mozilla_voice_tts/tts/layers/glow_tts/transformer.py index ab54b36f..2b9cd3bc 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/transformer.py +++ b/mozilla_voice_tts/tts/layers/glow_tts/transformer.py @@ -87,7 +87,6 @@ class RelativePositionMultiHeadAttention(nn.Module): if self.rel_attn_window_size is not None: assert t_s == t_t, "Relative attention is only available for self-attention." # get relative key embeddings - breakpoint() key_relative_embeddings = self._get_relative_embeddings( self.emb_rel_k, t_s) rel_logits = self._matmul_with_relative_keys( From 15e6ab3912f3b410e3f37dad25c265e15c30d14f Mon Sep 17 00:00:00 2001 From: erogol Date: Sat, 12 Sep 2020 03:33:36 +0200 Subject: [PATCH 16/26] glow-tts module renaming updates --- .../bin/train_glow_tts.py | 36 +- .../tts/layers/glow_tts/__init__.py | 0 .../tts/layers/glow_tts/decoder.py | 4 +- .../tts/layers/glow_tts/duration_predictor.py | 0 .../tts/layers/glow_tts/encoder.py | 8 +- .../tts/layers/glow_tts/glow.py | 0 .../glow_tts/monotonic_align/__init__.py | 4 +- .../layers/glow_tts/monotonic_align/core.c | 2440 ++++++++--------- .../layers/glow_tts/monotonic_align/core.pyx | 0 .../layers/glow_tts/monotonic_align/setup.py | 0 .../tts/layers/glow_tts/transformer.py | 2 +- .../tts/models/glow_tts.py | 8 +- TTS/tts/utils/generic_utils.py | 2 +- TTS/utils/io.py | 4 +- 14 files changed, 1254 insertions(+), 1254 deletions(-) rename {mozilla_voice_tts => TTS}/bin/train_glow_tts.py (95%) rename {mozilla_voice_tts => TTS}/tts/layers/glow_tts/__init__.py (100%) rename {mozilla_voice_tts => TTS}/tts/layers/glow_tts/decoder.py (95%) rename {mozilla_voice_tts => TTS}/tts/layers/glow_tts/duration_predictor.py (100%) rename {mozilla_voice_tts => TTS}/tts/layers/glow_tts/encoder.py (95%) rename {mozilla_voice_tts => TTS}/tts/layers/glow_tts/glow.py (100%) rename {mozilla_voice_tts => TTS}/tts/layers/glow_tts/monotonic_align/__init__.py (89%) rename {mozilla_voice_tts => TTS}/tts/layers/glow_tts/monotonic_align/core.c (99%) rename {mozilla_voice_tts => TTS}/tts/layers/glow_tts/monotonic_align/core.pyx (100%) rename {mozilla_voice_tts => TTS}/tts/layers/glow_tts/monotonic_align/setup.py (100%) rename {mozilla_voice_tts => TTS}/tts/layers/glow_tts/transformer.py (99%) rename {mozilla_voice_tts => TTS}/tts/models/glow_tts.py (96%) diff --git a/mozilla_voice_tts/bin/train_glow_tts.py b/TTS/bin/train_glow_tts.py similarity index 95% rename from mozilla_voice_tts/bin/train_glow_tts.py rename to TTS/bin/train_glow_tts.py index 186f2c18..72b1eef5 100644 --- a/mozilla_voice_tts/bin/train_glow_tts.py +++ b/TTS/bin/train_glow_tts.py @@ -13,30 +13,30 @@ import torch from torch.utils.data import DataLoader from torch.nn.parallel import DistributedDataParallel as DDP -from mozilla_voice_tts.tts.datasets.preprocess import load_meta_data -from mozilla_voice_tts.tts.datasets.TTSDataset import MyDataset -from mozilla_voice_tts.tts.layers.losses import GlowTTSLoss -from mozilla_voice_tts.utils.console_logger import ConsoleLogger -from mozilla_voice_tts.tts.utils.distribute import (DistributedSampler, +from TTS.tts.datasets.preprocess import load_meta_data +from TTS.tts.datasets.TTSDataset import MyDataset +from TTS.tts.layers.losses import GlowTTSLoss +from TTS.utils.console_logger import ConsoleLogger +from TTS.tts.utils.distribute import (DistributedSampler, init_distributed, reduce_tensor) -from mozilla_voice_tts.tts.utils.generic_utils import check_config, setup_model -from mozilla_voice_tts.tts.utils.io import save_best_model, save_checkpoint -from mozilla_voice_tts.tts.utils.measures import alignment_diagonal_score -from mozilla_voice_tts.tts.utils.speakers import (get_speakers, +from TTS.tts.utils.generic_utils import check_config, setup_model +from TTS.tts.utils.io import save_best_model, save_checkpoint +from TTS.tts.utils.measures import alignment_diagonal_score +from TTS.tts.utils.speakers import (get_speakers, load_speaker_mapping, save_speaker_mapping) -from mozilla_voice_tts.tts.utils.synthesis import synthesis -from mozilla_voice_tts.tts.utils.text.symbols import make_symbols, phonemes, symbols -from mozilla_voice_tts.tts.utils.visual import plot_alignment, plot_spectrogram -from mozilla_voice_tts.utils.audio import AudioProcessor -from mozilla_voice_tts.utils.generic_utils import ( +from TTS.tts.utils.synthesis import synthesis +from TTS.tts.utils.text.symbols import make_symbols, phonemes, symbols +from TTS.tts.utils.visual import plot_alignment, plot_spectrogram +from TTS.utils.audio import AudioProcessor +from TTS.utils.generic_utils import ( KeepAverage, count_parameters, create_experiment_folder, get_git_branch, remove_experiment_folder, set_init_dict) -from mozilla_voice_tts.utils.io import copy_config_file, load_config -from mozilla_voice_tts.utils.radam import RAdam -from mozilla_voice_tts.utils.tensorboard_logger import TensorboardLogger -from mozilla_voice_tts.utils.training import (NoamLR, adam_weight_decay, +from TTS.utils.io import copy_config_file, load_config +from TTS.utils.radam import RAdam +from TTS.utils.tensorboard_logger import TensorboardLogger +from TTS.utils.training import (NoamLR, adam_weight_decay, check_update, gradual_training_scheduler, set_weight_decay, diff --git a/mozilla_voice_tts/tts/layers/glow_tts/__init__.py b/TTS/tts/layers/glow_tts/__init__.py similarity index 100% rename from mozilla_voice_tts/tts/layers/glow_tts/__init__.py rename to TTS/tts/layers/glow_tts/__init__.py diff --git a/mozilla_voice_tts/tts/layers/glow_tts/decoder.py b/TTS/tts/layers/glow_tts/decoder.py similarity index 95% rename from mozilla_voice_tts/tts/layers/glow_tts/decoder.py rename to TTS/tts/layers/glow_tts/decoder.py index 647459f0..6256ee47 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/decoder.py +++ b/TTS/tts/layers/glow_tts/decoder.py @@ -2,8 +2,8 @@ import torch from torch import nn from torch.nn import functional as F -from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask -from mozilla_voice_tts.tts.layers.glow_tts.glow import InvConvNear, CouplingBlock, ActNorm +from TTS.tts.utils.generic_utils import sequence_mask +from TTS.tts.layers.glow_tts.glow import InvConvNear, CouplingBlock, ActNorm def squeeze(x, x_mask=None, num_sqz=2): diff --git a/mozilla_voice_tts/tts/layers/glow_tts/duration_predictor.py b/TTS/tts/layers/glow_tts/duration_predictor.py similarity index 100% rename from mozilla_voice_tts/tts/layers/glow_tts/duration_predictor.py rename to TTS/tts/layers/glow_tts/duration_predictor.py diff --git a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py b/TTS/tts/layers/glow_tts/encoder.py similarity index 95% rename from mozilla_voice_tts/tts/layers/glow_tts/encoder.py rename to TTS/tts/layers/glow_tts/encoder.py index 035997af..fd5c7140 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py +++ b/TTS/tts/layers/glow_tts/encoder.py @@ -2,10 +2,10 @@ import math import torch from torch import nn -from mozilla_voice_tts.tts.layers.glow_tts.transformer import Transformer -from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask -from mozilla_voice_tts.tts.layers.glow_tts.glow import ConvLayerNorm, LayerNorm -from mozilla_voice_tts.tts.layers.glow_tts.duration_predictor import DurationPredictor +from TTS.tts.layers.glow_tts.transformer import Transformer +from TTS.tts.utils.generic_utils import sequence_mask +from TTS.tts.layers.glow_tts.glow import ConvLayerNorm, LayerNorm +from TTS.tts.layers.glow_tts.duration_predictor import DurationPredictor class GatedConvBlock(nn.Module): diff --git a/mozilla_voice_tts/tts/layers/glow_tts/glow.py b/TTS/tts/layers/glow_tts/glow.py similarity index 100% rename from mozilla_voice_tts/tts/layers/glow_tts/glow.py rename to TTS/tts/layers/glow_tts/glow.py diff --git a/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/__init__.py b/TTS/tts/layers/glow_tts/monotonic_align/__init__.py similarity index 89% rename from mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/__init__.py rename to TTS/tts/layers/glow_tts/monotonic_align/__init__.py index 36603208..267fb7f4 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/__init__.py +++ b/TTS/tts/layers/glow_tts/monotonic_align/__init__.py @@ -1,8 +1,8 @@ import numpy as np import torch from torch.nn import functional as F -from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask -from mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core import maximum_path_c +from TTS.tts.utils.generic_utils import sequence_mask +from TTS.tts.layers.glow_tts.monotonic_align.core import maximum_path_c def convert_pad_shape(pad_shape): diff --git a/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.c b/TTS/tts/layers/glow_tts/monotonic_align/core.c similarity index 99% rename from mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.c rename to TTS/tts/layers/glow_tts/monotonic_align/core.c index f82b9ed4..5e58cd6b 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.c +++ b/TTS/tts/layers/glow_tts/monotonic_align/core.c @@ -4,12 +4,12 @@ { "distutils": { "depends": [], - "name": "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core", + "name": "TTS.tts.layers.glow_tts.monotonic_align.core", "sources": [ "core.pyx" ] }, - "module_name": "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core" + "module_name": "TTS.tts.layers.glow_tts.monotonic_align.core" } END: Cython Metadata */ @@ -959,7 +959,7 @@ typedef struct { /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 * # in Cython to enable them only on the right systems. - * + * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t @@ -967,7 +967,7 @@ typedef struct { typedef npy_int8 __pyx_t_5numpy_int8_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 - * + * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< * ctypedef npy_int32 int32_t @@ -995,7 +995,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 * #ctypedef npy_int128 int128_t - * + * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t @@ -1003,7 +1003,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; typedef npy_uint8 __pyx_t_5numpy_uint8_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 - * + * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< * ctypedef npy_uint32 uint32_t @@ -1031,7 +1031,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 * #ctypedef npy_uint128 uint128_t - * + * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< * ctypedef npy_float64 float64_t * #ctypedef npy_float80 float80_t @@ -1039,7 +1039,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; typedef npy_float32 __pyx_t_5numpy_float32_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 - * + * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< * #ctypedef npy_float80 float80_t @@ -1061,7 +1061,7 @@ typedef npy_long __pyx_t_5numpy_int_t; * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< * ctypedef npy_longlong longlong_t - * + * */ typedef npy_longlong __pyx_t_5numpy_long_t; @@ -1069,14 +1069,14 @@ typedef npy_longlong __pyx_t_5numpy_long_t; * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< - * + * * ctypedef npy_ulong uint_t */ typedef npy_longlong __pyx_t_5numpy_longlong_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 * ctypedef npy_longlong longlong_t - * + * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t @@ -1084,11 +1084,11 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t; typedef npy_ulong __pyx_t_5numpy_uint_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 - * + * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulonglong_t - * + * */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; @@ -1096,32 +1096,32 @@ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< - * + * * ctypedef npy_intp intp_t */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 * ctypedef npy_ulonglong ulonglong_t - * + * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< * ctypedef npy_uintp uintp_t - * + * */ typedef npy_intp __pyx_t_5numpy_intp_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 - * + * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< - * + * * ctypedef npy_double float_t */ typedef npy_uintp __pyx_t_5numpy_uintp_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 * ctypedef npy_uintp uintp_t - * + * * ctypedef npy_double float_t # <<<<<<<<<<<<<< * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t @@ -1129,11 +1129,11 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t; typedef npy_double __pyx_t_5numpy_float_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 - * + * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< * ctypedef npy_longdouble longdouble_t - * + * */ typedef npy_double __pyx_t_5numpy_double_t; @@ -1141,7 +1141,7 @@ typedef npy_double __pyx_t_5numpy_double_t; * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< - * + * * ctypedef npy_cfloat cfloat_t */ typedef npy_longdouble __pyx_t_5numpy_longdouble_t; @@ -1178,7 +1178,7 @@ struct __pyx_memoryviewslice_obj; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 * ctypedef npy_longdouble longdouble_t - * + * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t @@ -1186,11 +1186,11 @@ struct __pyx_memoryviewslice_obj; typedef npy_cfloat __pyx_t_5numpy_cfloat_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 - * + * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< * ctypedef npy_clongdouble clongdouble_t - * + * */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; @@ -1198,16 +1198,16 @@ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< - * + * * ctypedef npy_cdouble complex_t */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 * ctypedef npy_clongdouble clongdouble_t - * + * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< - * + * * cdef inline object PyArray_MultiIterNew1(a): */ typedef npy_cdouble __pyx_t_5numpy_complex_t; @@ -1218,7 +1218,7 @@ struct __pyx_opt_args_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximu * @cython.wraparound(False) * cpdef void maximum_path_c(int[:,:,::1] paths, float[:,:,::1] values, int[::1] t_xs, int[::1] t_ys, float max_neg_val=-1e9) nogil: # <<<<<<<<<<<<<< * cdef int b = values.shape[0] - * + * */ struct __pyx_opt_args_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_c { int __pyx_n; @@ -1226,10 +1226,10 @@ struct __pyx_opt_args_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximu }; /* "View.MemoryView":105 - * + * * @cname("__pyx_array") * cdef class array: # <<<<<<<<<<<<<< - * + * * cdef: */ struct __pyx_array_obj { @@ -1251,7 +1251,7 @@ struct __pyx_array_obj { /* "View.MemoryView":279 - * + * * @cname('__pyx_MemviewEnum') * cdef class Enum(object): # <<<<<<<<<<<<<< * cdef object name @@ -1264,10 +1264,10 @@ struct __pyx_MemviewEnum_obj { /* "View.MemoryView":330 - * + * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< - * + * * cdef object obj */ struct __pyx_memoryview_obj { @@ -1287,11 +1287,11 @@ struct __pyx_memoryview_obj { /* "View.MemoryView":965 - * + * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< * "Internal class for passing memoryview slices to Python" - * + * */ struct __pyx_memoryviewslice_obj { struct __pyx_memoryview_obj __pyx_base; @@ -1304,10 +1304,10 @@ struct __pyx_memoryviewslice_obj { /* "View.MemoryView":105 - * + * * @cname("__pyx_array") * cdef class array: # <<<<<<<<<<<<<< - * + * * cdef: */ @@ -1318,10 +1318,10 @@ static struct __pyx_vtabstruct_array *__pyx_vtabptr_array; /* "View.MemoryView":330 - * + * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< - * + * * cdef object obj */ @@ -1338,11 +1338,11 @@ static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview; /* "View.MemoryView":965 - * + * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< * "Internal class for passing memoryview slices to Python" - * + * */ struct __pyx_vtabstruct__memoryviewslice { @@ -2130,7 +2130,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, cha /* Module declarations from 'cython' */ -/* Module declarations from 'mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core' */ +/* Module declarations from 'TTS.tts.layers.glow_tts.monotonic_align.core' */ static PyTypeObject *__pyx_array_type = 0; static PyTypeObject *__pyx_MemviewEnum_type = 0; static PyTypeObject *__pyx_memoryview_type = 0; @@ -2179,11 +2179,11 @@ static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/ static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_float = { "float", NULL, sizeof(float), { 0 }, 0, 'R', 0, 0 }; -#define __Pyx_MODULE_NAME "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core" +#define __Pyx_MODULE_NAME "TTS.tts.layers.glow_tts.monotonic_align.core" extern int __pyx_module_is_main_TTS__tts__layers__glow_tts__monotonic_align__core; int __pyx_module_is_main_TTS__tts__layers__glow_tts__monotonic_align__core = 0; -/* Implementation of 'mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core' */ +/* Implementation of 'TTS.tts.layers.glow_tts.monotonic_align.core' */ static PyObject *__pyx_builtin_range; static PyObject *__pyx_builtin_ValueError; static PyObject *__pyx_builtin_RuntimeError; @@ -2531,14 +2531,14 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ * cdef float v_cur * cdef float tmp * cdef int index = t_x - 1 # <<<<<<<<<<<<<< - * + * * for y in range(t_y): */ __pyx_v_index = (__pyx_v_t_x - 1); /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":17 * cdef int index = t_x - 1 - * + * * for y in range(t_y): # <<<<<<<<<<<<<< * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): * if x == y: @@ -2549,7 +2549,7 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ __pyx_v_y = __pyx_t_3; /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":18 - * + * * for y in range(t_y): * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): # <<<<<<<<<<<<<< * if x == y: @@ -2683,7 +2683,7 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ * else: * v_prev = value[x-1, y-1] # <<<<<<<<<<<<<< * value[x, y] = max(v_cur, v_prev) + value[x, y] - * + * */ /*else*/ { __pyx_t_11 = (__pyx_v_x - 1); @@ -2696,7 +2696,7 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ * else: * v_prev = value[x-1, y-1] * value[x, y] = max(v_cur, v_prev) + value[x, y] # <<<<<<<<<<<<<< - * + * * for y in range(t_y - 1, -1, -1): */ __pyx_t_13 = __pyx_v_v_prev; @@ -2716,7 +2716,7 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":32 * value[x, y] = max(v_cur, v_prev) + value[x, y] - * + * * for y in range(t_y - 1, -1, -1): # <<<<<<<<<<<<<< * path[index, y] = 1 * if index != 0 and (index == y or value[index, y-1] < value[index-1, y-1]): @@ -2725,7 +2725,7 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ __pyx_v_y = __pyx_t_1; /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":33 - * + * * for y in range(t_y - 1, -1, -1): * path[index, y] = 1 # <<<<<<<<<<<<<< * if index != 0 and (index == y or value[index, y-1] < value[index-1, y-1]): @@ -2740,7 +2740,7 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ * path[index, y] = 1 * if index != 0 and (index == y or value[index, y-1] < value[index-1, y-1]): # <<<<<<<<<<<<<< * index = index - 1 - * + * */ __pyx_t_22 = ((__pyx_v_index != 0) != 0); if (__pyx_t_22) { @@ -2767,8 +2767,8 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ * path[index, y] = 1 * if index != 0 and (index == y or value[index, y-1] < value[index-1, y-1]): * index = index - 1 # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_v_index = (__pyx_v_index - 1); @@ -2777,7 +2777,7 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ * path[index, y] = 1 * if index != 0 and (index == y or value[index, y-1] < value[index-1, y-1]): # <<<<<<<<<<<<<< * index = index - 1 - * + * */ } } @@ -2798,7 +2798,7 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ * @cython.wraparound(False) * cpdef void maximum_path_c(int[:,:,::1] paths, float[:,:,::1] values, int[::1] t_xs, int[::1] t_ys, float max_neg_val=-1e9) nogil: # <<<<<<<<<<<<<< * cdef int b = values.shape[0] - * + * */ static PyObject *__pyx_pw_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_1maximum_path_c(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ @@ -2823,13 +2823,13 @@ static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_ * @cython.wraparound(False) * cpdef void maximum_path_c(int[:,:,::1] paths, float[:,:,::1] values, int[::1] t_xs, int[::1] t_ys, float max_neg_val=-1e9) nogil: * cdef int b = values.shape[0] # <<<<<<<<<<<<<< - * + * * cdef int i */ __pyx_v_b = (__pyx_v_values.shape[0]); /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":44 - * + * * cdef int i * for i in prange(b, nogil=True): # <<<<<<<<<<<<<< * maximum_path_each(paths[i], values[i], t_xs[i], t_ys[i], max_neg_val) @@ -3010,7 +3010,7 @@ __pyx_t_6 = __pyx_v_i; } /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":44 - * + * * cdef int i * for i in prange(b, nogil=True): # <<<<<<<<<<<<<< * maximum_path_each(paths[i], values[i], t_xs[i], t_ys[i], max_neg_val) @@ -3039,7 +3039,7 @@ __pyx_t_6 = __pyx_v_i; * @cython.wraparound(False) * cpdef void maximum_path_c(int[:,:,::1] paths, float[:,:,::1] values, int[::1] t_xs, int[::1] t_ys, float max_neg_val=-1e9) nogil: # <<<<<<<<<<<<<< * cdef int b = values.shape[0] - * + * */ /* function exit code */ @@ -3047,7 +3047,7 @@ __pyx_t_6 = __pyx_v_i; __pyx_L1_error:; __PYX_XDEC_MEMVIEW(&__pyx_t_4, 0); __PYX_XDEC_MEMVIEW(&__pyx_t_5, 0); - __Pyx_WriteUnraisable("mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core.maximum_path_c", __pyx_clineno, __pyx_lineno, __pyx_filename, 1, 1); + __Pyx_WriteUnraisable("TTS.tts.layers.glow_tts.monotonic_align.core.maximum_path_c", __pyx_clineno, __pyx_lineno, __pyx_filename, 1, 1); __pyx_L0:; } @@ -3141,7 +3141,7 @@ static PyObject *__pyx_pw_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_1m __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("maximum_path_c", 0, 4, 5, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 40, __pyx_L3_error) __pyx_L3_error:; - __Pyx_AddTraceback("mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core.maximum_path_c", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("TTS.tts.layers.glow_tts.monotonic_align.core.maximum_path_c", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return NULL; __pyx_L4_argument_unpacking_done:; @@ -3165,7 +3165,7 @@ static PyObject *__pyx_pf_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_ma if (unlikely(!__pyx_v_t_ys.memview)) { __Pyx_RaiseUnboundLocalError("t_ys"); __PYX_ERR(0, 40, __pyx_L1_error) } __pyx_t_1.__pyx_n = 1; __pyx_t_1.max_neg_val = __pyx_v_max_neg_val; - __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_c(__pyx_v_paths, __pyx_v_values, __pyx_v_t_xs, __pyx_v_t_ys, 0, &__pyx_t_1); + __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_c(__pyx_v_paths, __pyx_v_values, __pyx_v_t_xs, __pyx_v_t_ys, 0, &__pyx_t_1); __pyx_t_2 = __Pyx_void_to_None(NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 40, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; @@ -3175,7 +3175,7 @@ static PyObject *__pyx_pf_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_ma /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); - __Pyx_AddTraceback("mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core.maximum_path_c", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("TTS.tts.layers.glow_tts.monotonic_align.core.maximum_path_c", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __PYX_XDEC_MEMVIEW(&__pyx_v_paths, 1); @@ -3237,11 +3237,11 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_GIVEREF(__pyx_v_info->obj); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 - * + * * cdef int i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< * cdef bint little_endian = ((&endian_detector)[0] != 0) - * + * */ __pyx_v_endian_detector = 1; @@ -3249,23 +3249,23 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P * cdef int i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< - * + * * ndim = PyArray_NDIM(self) */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 * cdef bint little_endian = ((&endian_detector)[0] != 0) - * + * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< - * + * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) - * + * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") @@ -3278,11 +3278,11 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 - * + * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< * raise ValueError(u"ndarray is not C contiguous") - * + * */ __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_ARRAY_C_CONTIGUOUS) != 0)) != 0); __pyx_t_1 = __pyx_t_2; @@ -3290,7 +3290,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) - * + * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") @@ -3301,7 +3301,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< - * + * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) */ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__2, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 272, __pyx_L1_error) @@ -3312,7 +3312,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) - * + * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") @@ -3321,7 +3321,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") - * + * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") @@ -3334,11 +3334,11 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 - * + * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< * raise ValueError(u"ndarray is not Fortran contiguous") - * + * */ __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_ARRAY_F_CONTIGUOUS) != 0)) != 0); __pyx_t_1 = __pyx_t_2; @@ -3346,7 +3346,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") - * + * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") @@ -3357,7 +3357,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< - * + * * info.buf = PyArray_DATA(self) */ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__3, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 276, __pyx_L1_error) @@ -3368,7 +3368,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") - * + * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") @@ -3377,7 +3377,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 * raise ValueError(u"ndarray is not Fortran contiguous") - * + * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): @@ -3385,7 +3385,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 - * + * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< * if sizeof(npy_intp) != sizeof(Py_ssize_t): @@ -3497,7 +3497,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< * info.readonly = not PyArray_ISWRITEABLE(self) - * + * */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); @@ -3505,13 +3505,13 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< - * + * * cdef int t */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 - * + * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< * cdef dtype descr = PyArray_DESCR(self) @@ -3524,7 +3524,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P * cdef char* f = NULL * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< * cdef int offset - * + * */ __pyx_t_7 = PyArray_DESCR(__pyx_v_self); 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@@ -3953,7 +3953,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string - * + * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) @@ -3976,7 +3976,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __Pyx_RefNannySetupContext("__releasebuffer__", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 - * + * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< * PyObject_Free(info.format) @@ -3995,7 +3995,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s PyObject_Free(__pyx_v_info->format); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 - * + * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< * PyObject_Free(info.format) @@ -4018,7 +4018,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s * if sizeof(npy_intp) != sizeof(Py_ssize_t): * PyObject_Free(info.strides) # <<<<<<<<<<<<<< * # info.shape was stored after info.strides in the same block - * + * */ PyObject_Free(__pyx_v_info->strides); @@ -4033,7 +4033,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string - * + * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) @@ -4045,10 +4045,10 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t - * + * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(1, a) - * + * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__pyx_v_a) { @@ -4058,10 +4058,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":822 - * + * * cdef inline object PyArray_MultiIterNew1(a): * return PyArray_MultiIterNew(1, a) # <<<<<<<<<<<<<< - * + * * cdef inline object PyArray_MultiIterNew2(a, b): */ __Pyx_XDECREF(__pyx_r); @@ -4073,10 +4073,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t - * + * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(1, a) - * + * */ /* function exit code */ @@ -4092,10 +4092,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":824 * return PyArray_MultiIterNew(1, a) - * + * * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(2, a, b) - * + * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__pyx_v_a, PyObject *__pyx_v_b) { @@ -4105,10 +4105,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__ __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":825 - * + * * cdef inline object PyArray_MultiIterNew2(a, b): * return PyArray_MultiIterNew(2, a, b) # <<<<<<<<<<<<<< - * + * * cdef inline object PyArray_MultiIterNew3(a, b, c): */ __Pyx_XDECREF(__pyx_r); @@ -4120,10 +4120,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":824 * return PyArray_MultiIterNew(1, a) - * + * * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(2, a, b) - * + * */ /* function exit code */ @@ -4139,10 +4139,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":827 * return PyArray_MultiIterNew(2, a, b) - * + * * cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(3, a, b, c) - * + * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c) { @@ -4152,10 +4152,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__ __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":828 - * + * * cdef inline object PyArray_MultiIterNew3(a, b, c): * return PyArray_MultiIterNew(3, a, b, c) # <<<<<<<<<<<<<< - * + * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): */ __Pyx_XDECREF(__pyx_r); @@ -4167,10 +4167,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":827 * return PyArray_MultiIterNew(2, a, b) - * + * * cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(3, a, b, c) - * + * */ /* function exit code */ @@ -4186,10 +4186,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":830 * return PyArray_MultiIterNew(3, a, b, c) - * + * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(4, a, b, c, d) - * + * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d) { @@ -4199,10 +4199,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__ __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":831 - * + * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): * return PyArray_MultiIterNew(4, a, b, c, d) # <<<<<<<<<<<<<< - * + * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): */ __Pyx_XDECREF(__pyx_r); @@ -4214,10 +4214,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":830 * return PyArray_MultiIterNew(3, a, b, c) - * + * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(4, a, b, c, d) - * + * */ /* function exit code */ @@ -4233,10 +4233,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":833 * return PyArray_MultiIterNew(4, a, b, c, d) - * + * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(5, a, b, c, d, e) - * + * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d, PyObject *__pyx_v_e) { @@ -4246,10 +4246,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__ __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":834 - * + * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): * return PyArray_MultiIterNew(5, a, b, c, d, e) # <<<<<<<<<<<<<< - * + * * cdef inline tuple PyDataType_SHAPE(dtype d): */ __Pyx_XDECREF(__pyx_r); @@ -4261,10 +4261,10 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":833 * return PyArray_MultiIterNew(4, a, b, c, d) - * + * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(5, a, b, c, d, e) - * + * */ /* function exit code */ @@ -4280,7 +4280,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 * return PyArray_MultiIterNew(5, a, b, c, d, e) - * + * * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< * if PyDataType_HASSUBARRAY(d): * return d.subarray.shape @@ -4293,7 +4293,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 - * + * * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< * return d.subarray.shape @@ -4315,7 +4315,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ goto __pyx_L0; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 - * + * * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< * return d.subarray.shape @@ -4327,7 +4327,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ * return d.subarray.shape * else: * return () # <<<<<<<<<<<<<< - * + * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: */ /*else*/ { @@ -4339,7 +4339,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 * return PyArray_MultiIterNew(5, a, b, c, d, e) - * + * * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< * if PyDataType_HASSUBARRAY(d): * return d.subarray.shape @@ -4354,7 +4354,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () - * + * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< * # Recursive utility function used in __getbuffer__ to get format * # string. The new location in the format string is returned. @@ -4382,7 +4382,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_RefNannySetupContext("_util_dtypestring", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 - * + * * cdef dtype child * cdef int endian_detector = 1 # <<<<<<<<<<<<<< * cdef bint little_endian = ((&endian_detector)[0] != 0) @@ -4395,13 +4395,13 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< * cdef tuple fields - * + * */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields - * + * * for childname in descr.names: # <<<<<<<<<<<<<< * fields = descr.fields[childname] * child, new_offset = fields @@ -4423,11 +4423,11 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_3 = 0; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 - * + * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< * child, new_offset = fields - * + * */ if (unlikely(__pyx_v_descr->fields == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); @@ -4443,7 +4443,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< - * + * * if (end - f) - (new_offset - offset[0]) < 15: */ if (likely(__pyx_v_fields != Py_None)) { @@ -4455,8 +4455,8 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __PYX_ERR(1, 853, __pyx_L1_error) } #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); - __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_3); __Pyx_INCREF(__pyx_t_4); #else @@ -4476,10 +4476,10 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields - * + * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") - * + * */ __pyx_t_4 = __Pyx_PyInt_From_int((__pyx_v_offset[0])); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 855, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); @@ -4492,10 +4492,10 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx if (unlikely(__pyx_t_6)) { /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 - * + * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< - * + * * if ((child.byteorder == c'>' and little_endian) or */ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 856, __pyx_L1_error) @@ -4506,16 +4506,16 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields - * + * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") - * + * */ } /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") - * + * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") @@ -4534,7 +4534,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_L8_next_or:; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 - * + * * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< * raise ValueError(u"Non-native byte order not supported") @@ -4552,7 +4552,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") - * + * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") @@ -4574,7 +4574,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") - * + * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") @@ -4582,7 +4582,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 - * + * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< * f[0] = 120 # "x"; pad byte @@ -4611,7 +4611,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< * offset[0] += 1 - * + * */ __pyx_v_f = (__pyx_v_f + 1); @@ -4619,7 +4619,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< - * + * * offset[0] += child.itemsize */ __pyx_t_8 = 0; @@ -4628,9 +4628,9 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 * offset[0] += 1 - * + * * offset[0] += child.itemsize # <<<<<<<<<<<<<< - * + * * if not PyDataType_HASFIELDS(child): */ __pyx_t_8 = 0; @@ -4638,7 +4638,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize - * + * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< * t = child.type_num * if end - f < 5: @@ -4647,7 +4647,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx if (__pyx_t_6) { /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 - * + * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< * if end - f < 5: @@ -4663,7 +4663,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< * raise RuntimeError(u"Format string allocated too short.") - * + * */ __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (unlikely(__pyx_t_6)) { @@ -4672,7 +4672,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< - * + * * # Until ticket #99 is fixed, use integers to avoid warnings */ __pyx_t_4 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_tuple__6, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 880, __pyx_L1_error) @@ -4686,12 +4686,12 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< * raise RuntimeError(u"Format string allocated too short.") - * + * */ } /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 - * + * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< * elif t == NPY_UBYTE: f[0] = 66 #"B" @@ -5032,7 +5032,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize - * + * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< * t = child.type_num * if end - f < 5: @@ -5045,7 +5045,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< * return f - * + * */ /*else*/ { __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_child, __pyx_v_f, __pyx_v_end, __pyx_v_offset); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 906, __pyx_L1_error) @@ -5055,7 +5055,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields - * + * * for childname in descr.names: # <<<<<<<<<<<<<< * fields = descr.fields[childname] * child, new_offset = fields @@ -5067,15 +5067,15 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_r = __pyx_v_f; goto __pyx_L0; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () - * + * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< * # Recursive utility function used in __getbuffer__ to get format * # string. The new location in the format string is returned. @@ -5100,7 +5100,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 - * + * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) @@ -5111,11 +5111,11 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannySetupContext("set_array_base", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 - * + * * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< * PyArray_SetBaseObject(arr, base) - * + * */ Py_INCREF(__pyx_v_base); @@ -5123,14 +5123,14 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< - * + * * cdef inline object get_array_base(ndarray arr): */ (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 - * + * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) @@ -5142,7 +5142,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) - * + * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< * base = PyArray_BASE(arr) * if base is NULL: @@ -5156,7 +5156,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __Pyx_RefNannySetupContext("get_array_base", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 - * + * * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< * if base is NULL: @@ -5179,7 +5179,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py * if base is NULL: * return None # <<<<<<<<<<<<<< * return base - * + * */ __Pyx_XDECREF(__pyx_r); __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -5198,7 +5198,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py * if base is NULL: * return None * return base # <<<<<<<<<<<<<< - * + * * # Versions of the import_* functions which are more suitable for */ __Pyx_XDECREF(__pyx_r); @@ -5208,7 +5208,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) - * + * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< * base = PyArray_BASE(arr) * if base is NULL: @@ -5286,7 +5286,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { * _import_array() * except Exception: # <<<<<<<<<<<<<< * raise ImportError("numpy.core.multiarray failed to import") - * + * */ __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0]))); if (__pyx_t_4) { @@ -5300,7 +5300,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< - * + * * cdef inline int import_umath() except -1: */ __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__7, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1038, __pyx_L5_except_error) @@ -5352,7 +5352,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") - * + * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< * try: * _import_umath() @@ -5372,7 +5372,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_RefNannySetupContext("import_umath", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 - * + * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< * _import_umath() @@ -5397,7 +5397,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1042, __pyx_L3_error) /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 - * + * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< * _import_umath() @@ -5415,7 +5415,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { * _import_umath() * except Exception: # <<<<<<<<<<<<<< * raise ImportError("numpy.core.umath failed to import") - * + * */ __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0]))); if (__pyx_t_4) { @@ -5429,7 +5429,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< - * + * * cdef inline int import_ufunc() except -1: */ __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__8, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1044, __pyx_L5_except_error) @@ -5442,7 +5442,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __pyx_L5_except_error:; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 - * + * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< * _import_umath() @@ -5458,7 +5458,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") - * + * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< * try: * _import_umath() @@ -5481,7 +5481,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") - * + * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< * try: * _import_umath() @@ -5501,7 +5501,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __Pyx_RefNannySetupContext("import_ufunc", 0); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 - * + * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< * _import_umath() @@ -5526,7 +5526,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1048, __pyx_L3_error) /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 - * + * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< * _import_umath() @@ -5568,7 +5568,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __pyx_L5_except_error:; /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 - * + * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< * _import_umath() @@ -5584,7 +5584,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") - * + * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< * try: * _import_umath() @@ -5607,10 +5607,10 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { /* "View.MemoryView":122 * cdef bint dtype_is_object - * + * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< * mode="c", bint allocate_buffer=True): - * + * */ /* Python wrapper */ @@ -5700,10 +5700,10 @@ static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, P } else { /* "View.MemoryView":123 - * + * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, * mode="c", bint allocate_buffer=True): # <<<<<<<<<<<<<< - * + * * cdef int idx */ __pyx_v_allocate_buffer = ((int)1); @@ -5725,10 +5725,10 @@ static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, P /* "View.MemoryView":122 * cdef bint dtype_is_object - * + * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< * mode="c", bint allocate_buffer=True): - * + * */ /* function exit code */ @@ -5764,10 +5764,10 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ /* "View.MemoryView":129 * cdef PyObject **p - * + * * self.ndim = len(shape) # <<<<<<<<<<<<<< * self.itemsize = itemsize - * + * */ if (unlikely(__pyx_v_shape == Py_None)) { PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); @@ -5777,29 +5777,29 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __pyx_v_self->ndim = ((int)__pyx_t_1); /* "View.MemoryView":130 - * + * * self.ndim = len(shape) * self.itemsize = itemsize # <<<<<<<<<<<<<< - * + * * if not self.ndim: */ __pyx_v_self->itemsize = __pyx_v_itemsize; /* "View.MemoryView":132 * self.itemsize = itemsize - * + * * if not self.ndim: # <<<<<<<<<<<<<< * raise ValueError("Empty shape tuple for cython.array") - * + * */ __pyx_t_2 = ((!(__pyx_v_self->ndim != 0)) != 0); if (unlikely(__pyx_t_2)) { /* "View.MemoryView":133 - * + * * if not self.ndim: * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< - * + * * if itemsize <= 0: */ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__9, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 133, __pyx_L1_error) @@ -5810,28 +5810,28 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ /* "View.MemoryView":132 * self.itemsize = itemsize - * + * * if not self.ndim: # <<<<<<<<<<<<<< * raise ValueError("Empty shape tuple for cython.array") - * + * */ } /* "View.MemoryView":135 * raise ValueError("Empty shape tuple for cython.array") - * + * * if itemsize <= 0: # <<<<<<<<<<<<<< * raise ValueError("itemsize <= 0 for cython.array") - * + * */ __pyx_t_2 = ((__pyx_v_itemsize <= 0) != 0); if (unlikely(__pyx_t_2)) { /* "View.MemoryView":136 - * + * * if itemsize <= 0: * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< - * + * * if not isinstance(format, bytes): */ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__10, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 136, __pyx_L1_error) @@ -5842,26 +5842,26 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ /* "View.MemoryView":135 * raise ValueError("Empty shape tuple for cython.array") - * + * * if itemsize <= 0: # <<<<<<<<<<<<<< * raise ValueError("itemsize <= 0 for cython.array") - * + * */ } /* "View.MemoryView":138 * raise ValueError("itemsize <= 0 for cython.array") - * + * * if not isinstance(format, bytes): # <<<<<<<<<<<<<< * format = format.encode('ASCII') * self._format = format # keep a reference to the byte string */ - __pyx_t_2 = PyBytes_Check(__pyx_v_format); + __pyx_t_2 = PyBytes_Check(__pyx_v_format); __pyx_t_4 = ((!(__pyx_t_2 != 0)) != 0); if (__pyx_t_4) { /* "View.MemoryView":139 - * + * * if not isinstance(format, bytes): * format = format.encode('ASCII') # <<<<<<<<<<<<<< * self._format = format # keep a reference to the byte string @@ -5889,7 +5889,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ /* "View.MemoryView":138 * raise ValueError("itemsize <= 0 for cython.array") - * + * * if not isinstance(format, bytes): # <<<<<<<<<<<<<< * format = format.encode('ASCII') * self._format = format # keep a reference to the byte string @@ -5901,7 +5901,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ * format = format.encode('ASCII') * self._format = format # keep a reference to the byte string # <<<<<<<<<<<<<< * self.format = self._format - * + * */ if (!(likely(PyBytes_CheckExact(__pyx_v_format))||((__pyx_v_format) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "bytes", Py_TYPE(__pyx_v_format)->tp_name), 0))) __PYX_ERR(2, 140, __pyx_L1_error) __pyx_t_3 = __pyx_v_format; @@ -5916,8 +5916,8 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ * format = format.encode('ASCII') * self._format = format # keep a reference to the byte string * self.format = self._format # <<<<<<<<<<<<<< - * - * + * + * */ if (unlikely(__pyx_v_self->_format == Py_None)) { PyErr_SetString(PyExc_TypeError, "expected bytes, NoneType found"); @@ -5927,39 +5927,39 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __pyx_v_self->format = __pyx_t_7; /* "View.MemoryView":144 - * - * + * + * * self._shape = PyObject_Malloc(sizeof(Py_ssize_t)*self.ndim*2) # <<<<<<<<<<<<<< * self._strides = self._shape + self.ndim - * + * */ __pyx_v_self->_shape = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * __pyx_v_self->ndim) * 2))); /* "View.MemoryView":145 - * + * * self._shape = PyObject_Malloc(sizeof(Py_ssize_t)*self.ndim*2) * self._strides = self._shape + self.ndim # <<<<<<<<<<<<<< - * + * * if not self._shape: */ __pyx_v_self->_strides = (__pyx_v_self->_shape + __pyx_v_self->ndim); /* "View.MemoryView":147 * self._strides = self._shape + self.ndim - * + * * if not self._shape: # <<<<<<<<<<<<<< * raise MemoryError("unable to allocate shape and strides.") - * + * */ __pyx_t_4 = ((!(__pyx_v_self->_shape != 0)) != 0); if (unlikely(__pyx_t_4)) { /* "View.MemoryView":148 - * + * * if not self._shape: * raise MemoryError("unable to allocate shape and strides.") # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_MemoryError, __pyx_tuple__11, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 148, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); @@ -5969,16 +5969,16 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ /* "View.MemoryView":147 * self._strides = self._shape + self.ndim - * + * * if not self._shape: # <<<<<<<<<<<<<< * raise MemoryError("unable to allocate shape and strides.") - * + * */ } /* "View.MemoryView":151 - * - * + * + * * for idx, dim in enumerate(shape): # <<<<<<<<<<<<<< * if dim <= 0: * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) @@ -6000,7 +6000,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __pyx_t_8 = (__pyx_t_8 + 1); /* "View.MemoryView":152 - * + * * for idx, dim in enumerate(shape): * if dim <= 0: # <<<<<<<<<<<<<< * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) @@ -6014,7 +6014,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ * if dim <= 0: * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) # <<<<<<<<<<<<<< * self._shape[idx] = dim - * + * */ __pyx_t_5 = __Pyx_PyInt_From_int(__pyx_v_idx); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 153, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); @@ -6039,7 +6039,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __PYX_ERR(2, 153, __pyx_L1_error) /* "View.MemoryView":152 - * + * * for idx, dim in enumerate(shape): * if dim <= 0: # <<<<<<<<<<<<<< * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) @@ -6051,14 +6051,14 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ * if dim <= 0: * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) * self._shape[idx] = dim # <<<<<<<<<<<<<< - * + * * cdef char order */ (__pyx_v_self->_shape[__pyx_v_idx]) = __pyx_v_dim; /* "View.MemoryView":151 - * - * + * + * * for idx, dim in enumerate(shape): # <<<<<<<<<<<<<< * if dim <= 0: * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) @@ -6067,7 +6067,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":157 - * + * * cdef char order * if mode == 'fortran': # <<<<<<<<<<<<<< * order = b'F' @@ -6099,7 +6099,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __pyx_v_self->mode = __pyx_n_u_fortran; /* "View.MemoryView":157 - * + * * cdef char order * if mode == 'fortran': # <<<<<<<<<<<<<< * order = b'F' @@ -6154,7 +6154,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ * self.mode = u'c' * else: * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) # <<<<<<<<<<<<<< - * + * * self.len = fill_contig_strides_array(self._shape, self._strides, */ /*else*/ { @@ -6171,16 +6171,16 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ /* "View.MemoryView":166 * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) - * + * * self.len = fill_contig_strides_array(self._shape, self._strides, # <<<<<<<<<<<<<< * itemsize, self.ndim, order) - * + * */ __pyx_v_self->len = __pyx_fill_contig_strides_array(__pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_itemsize, __pyx_v_self->ndim, __pyx_v_order); /* "View.MemoryView":169 * itemsize, self.ndim, order) - * + * * self.free_data = allocate_buffer # <<<<<<<<<<<<<< * self.dtype_is_object = format == b'O' * if allocate_buffer: @@ -6188,11 +6188,11 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __pyx_v_self->free_data = __pyx_v_allocate_buffer; /* "View.MemoryView":170 - * + * * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' # <<<<<<<<<<<<<< * if allocate_buffer: - * + * */ __pyx_t_10 = PyObject_RichCompare(__pyx_v_format, __pyx_n_b_O, Py_EQ); __Pyx_XGOTREF(__pyx_t_10); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 170, __pyx_L1_error) __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_10); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 170, __pyx_L1_error) @@ -6203,15 +6203,15 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' * if allocate_buffer: # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_4 = (__pyx_v_allocate_buffer != 0); if (__pyx_t_4) { /* "View.MemoryView":174 - * - * + * + * * self.data = malloc(self.len) # <<<<<<<<<<<<<< * if not self.data: * raise MemoryError("unable to allocate array data.") @@ -6219,11 +6219,11 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __pyx_v_self->data = ((char *)malloc(__pyx_v_self->len)); /* "View.MemoryView":175 - * + * * self.data = malloc(self.len) * if not self.data: # <<<<<<<<<<<<<< * raise MemoryError("unable to allocate array data.") - * + * */ __pyx_t_4 = ((!(__pyx_v_self->data != 0)) != 0); if (unlikely(__pyx_t_4)) { @@ -6232,7 +6232,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ * self.data = malloc(self.len) * if not self.data: * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< - * + * * if self.dtype_is_object: */ __pyx_t_10 = __Pyx_PyObject_Call(__pyx_builtin_MemoryError, __pyx_tuple__12, NULL); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 176, __pyx_L1_error) @@ -6242,17 +6242,17 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __PYX_ERR(2, 176, __pyx_L1_error) /* "View.MemoryView":175 - * + * * self.data = malloc(self.len) * if not self.data: # <<<<<<<<<<<<<< * raise MemoryError("unable to allocate array data.") - * + * */ } /* "View.MemoryView":178 * raise MemoryError("unable to allocate array data.") - * + * * if self.dtype_is_object: # <<<<<<<<<<<<<< * p = self.data * for i in range(self.len / itemsize): @@ -6261,7 +6261,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ if (__pyx_t_4) { /* "View.MemoryView":179 - * + * * if self.dtype_is_object: * p = self.data # <<<<<<<<<<<<<< * for i in range(self.len / itemsize): @@ -6294,7 +6294,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ * for i in range(self.len / itemsize): * p[i] = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) - * + * */ (__pyx_v_p[__pyx_v_i]) = Py_None; @@ -6302,7 +6302,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ * for i in range(self.len / itemsize): * p[i] = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< - * + * * @cname('getbuffer') */ Py_INCREF(Py_None); @@ -6310,7 +6310,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ /* "View.MemoryView":178 * raise MemoryError("unable to allocate array data.") - * + * * if self.dtype_is_object: # <<<<<<<<<<<<<< * p = self.data * for i in range(self.len / itemsize): @@ -6321,17 +6321,17 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' * if allocate_buffer: # <<<<<<<<<<<<<< - * - * + * + * */ } /* "View.MemoryView":122 * cdef bint dtype_is_object - * + * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< * mode="c", bint allocate_buffer=True): - * + * */ /* function exit code */ @@ -6351,7 +6351,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ } /* "View.MemoryView":185 - * + * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< * cdef int bufmode = -1 @@ -6555,7 +6555,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru * info.suboffsets = NULL * info.itemsize = self.itemsize # <<<<<<<<<<<<<< * info.readonly = 0 - * + * */ __pyx_t_5 = __pyx_v_self->itemsize; __pyx_v_info->itemsize = __pyx_t_5; @@ -6564,14 +6564,14 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru * info.suboffsets = NULL * info.itemsize = self.itemsize * info.readonly = 0 # <<<<<<<<<<<<<< - * + * * if flags & PyBUF_FORMAT: */ __pyx_v_info->readonly = 0; /* "View.MemoryView":202 * info.readonly = 0 - * + * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * info.format = self.format * else: @@ -6580,7 +6580,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru if (__pyx_t_1) { /* "View.MemoryView":203 - * + * * if flags & PyBUF_FORMAT: * info.format = self.format # <<<<<<<<<<<<<< * else: @@ -6591,7 +6591,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru /* "View.MemoryView":202 * info.readonly = 0 - * + * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * info.format = self.format * else: @@ -6603,7 +6603,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru * info.format = self.format * else: * info.format = NULL # <<<<<<<<<<<<<< - * + * * info.obj = self */ /*else*/ { @@ -6613,9 +6613,9 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru /* "View.MemoryView":207 * info.format = NULL - * + * * info.obj = self # <<<<<<<<<<<<<< - * + * * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); @@ -6625,7 +6625,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_v_info->obj = ((PyObject *)__pyx_v_self); /* "View.MemoryView":185 - * + * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< * cdef int bufmode = -1 @@ -6656,7 +6656,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru /* "View.MemoryView":211 * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") - * + * * def __dealloc__(array self): # <<<<<<<<<<<<<< * if self.callback_free_data != NULL: * self.callback_free_data(self.data) @@ -6679,7 +6679,7 @@ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struc __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":212 - * + * * def __dealloc__(array self): * if self.callback_free_data != NULL: # <<<<<<<<<<<<<< * self.callback_free_data(self.data) @@ -6698,7 +6698,7 @@ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struc __pyx_v_self->callback_free_data(__pyx_v_self->data); /* "View.MemoryView":212 - * + * * def __dealloc__(array self): * if self.callback_free_data != NULL: # <<<<<<<<<<<<<< * self.callback_free_data(self.data) @@ -6750,7 +6750,7 @@ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struc * self._strides, self.ndim, False) * free(self.data) # <<<<<<<<<<<<<< * PyObject_Free(self._shape) - * + * */ free(__pyx_v_self->data); @@ -6768,14 +6768,14 @@ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struc * self._strides, self.ndim, False) * free(self.data) * PyObject_Free(self._shape) # <<<<<<<<<<<<<< - * + * * @property */ PyObject_Free(__pyx_v_self->_shape); /* "View.MemoryView":211 * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") - * + * * def __dealloc__(array self): # <<<<<<<<<<<<<< * if self.callback_free_data != NULL: * self.callback_free_data(self.data) @@ -6786,11 +6786,11 @@ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struc } /* "View.MemoryView":222 - * + * * @property * def memview(self): # <<<<<<<<<<<<<< * return self.get_memview() - * + * */ /* Python wrapper */ @@ -6816,7 +6816,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct _ * @property * def memview(self): * return self.get_memview() # <<<<<<<<<<<<<< - * + * * @cname('get_memview') */ __Pyx_XDECREF(__pyx_r); @@ -6827,11 +6827,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct _ goto __pyx_L0; /* "View.MemoryView":222 - * + * * @property * def memview(self): # <<<<<<<<<<<<<< * return self.get_memview() - * + * */ /* function exit code */ @@ -6846,7 +6846,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct _ } /* "View.MemoryView":226 - * + * * @cname('get_memview') * cdef get_memview(self): # <<<<<<<<<<<<<< * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE @@ -6867,7 +6867,7 @@ static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self) { * cdef get_memview(self): * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE # <<<<<<<<<<<<<< * return memoryview(self, flags, self.dtype_is_object) - * + * */ __pyx_v_flags = ((PyBUF_ANY_CONTIGUOUS | PyBUF_FORMAT) | PyBUF_WRITABLE); @@ -6875,7 +6875,7 @@ static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self) { * cdef get_memview(self): * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE * return memoryview(self, flags, self.dtype_is_object) # <<<<<<<<<<<<<< - * + * * def __len__(self): */ __Pyx_XDECREF(__pyx_r); @@ -6902,7 +6902,7 @@ static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self) { goto __pyx_L0; /* "View.MemoryView":226 - * + * * @cname('get_memview') * cdef get_memview(self): # <<<<<<<<<<<<<< * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE @@ -6924,10 +6924,10 @@ static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self) { /* "View.MemoryView":230 * return memoryview(self, flags, self.dtype_is_object) - * + * * def __len__(self): # <<<<<<<<<<<<<< * return self._shape[0] - * + * */ /* Python wrapper */ @@ -6949,10 +6949,10 @@ static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(str __Pyx_RefNannySetupContext("__len__", 0); /* "View.MemoryView":231 - * + * * def __len__(self): * return self._shape[0] # <<<<<<<<<<<<<< - * + * * def __getattr__(self, attr): */ __pyx_r = (__pyx_v_self->_shape[0]); @@ -6960,10 +6960,10 @@ static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(str /* "View.MemoryView":230 * return memoryview(self, flags, self.dtype_is_object) - * + * * def __len__(self): # <<<<<<<<<<<<<< * return self._shape[0] - * + * */ /* function exit code */ @@ -6974,10 +6974,10 @@ static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(str /* "View.MemoryView":233 * return self._shape[0] - * + * * def __getattr__(self, attr): # <<<<<<<<<<<<<< * return getattr(self.memview, attr) - * + * */ /* Python wrapper */ @@ -7001,10 +7001,10 @@ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__( __Pyx_RefNannySetupContext("__getattr__", 0); /* "View.MemoryView":234 - * + * * def __getattr__(self, attr): * return getattr(self.memview, attr) # <<<<<<<<<<<<<< - * + * * def __getitem__(self, item): */ __Pyx_XDECREF(__pyx_r); @@ -7019,10 +7019,10 @@ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__( /* "View.MemoryView":233 * return self._shape[0] - * + * * def __getattr__(self, attr): # <<<<<<<<<<<<<< * return getattr(self.memview, attr) - * + * */ /* function exit code */ @@ -7039,10 +7039,10 @@ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__( /* "View.MemoryView":236 * return getattr(self.memview, attr) - * + * * def __getitem__(self, item): # <<<<<<<<<<<<<< * return self.memview[item] - * + * */ /* Python wrapper */ @@ -7066,10 +7066,10 @@ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__ __Pyx_RefNannySetupContext("__getitem__", 0); /* "View.MemoryView":237 - * + * * def __getitem__(self, item): * return self.memview[item] # <<<<<<<<<<<<<< - * + * * def __setitem__(self, item, value): */ __Pyx_XDECREF(__pyx_r); @@ -7084,10 +7084,10 @@ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__ /* "View.MemoryView":236 * return getattr(self.memview, attr) - * + * * def __getitem__(self, item): # <<<<<<<<<<<<<< * return self.memview[item] - * + * */ /* function exit code */ @@ -7104,10 +7104,10 @@ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__ /* "View.MemoryView":239 * return self.memview[item] - * + * * def __setitem__(self, item, value): # <<<<<<<<<<<<<< * self.memview[item] = value - * + * */ /* Python wrapper */ @@ -7130,11 +7130,11 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struc __Pyx_RefNannySetupContext("__setitem__", 0); /* "View.MemoryView":240 - * + * * def __setitem__(self, item, value): * self.memview[item] = value # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_memview); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 240, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); @@ -7143,10 +7143,10 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struc /* "View.MemoryView":239 * return self.memview[item] - * + * * def __setitem__(self, item, value): # <<<<<<<<<<<<<< * self.memview[item] = value - * + * */ /* function exit code */ @@ -7269,7 +7269,7 @@ static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct } /* "View.MemoryView":244 - * + * * @cname("__pyx_array_new") * cdef array array_cwrapper(tuple shape, Py_ssize_t itemsize, char *format, # <<<<<<<<<<<<<< * char *mode, char *buf): @@ -7289,7 +7289,7 @@ static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize /* "View.MemoryView":248 * cdef array result - * + * * if buf == NULL: # <<<<<<<<<<<<<< * result = array(shape, itemsize, format, mode.decode('ASCII')) * else: @@ -7298,7 +7298,7 @@ static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize if (__pyx_t_1) { /* "View.MemoryView":249 - * + * * if buf == NULL: * result = array(shape, itemsize, format, mode.decode('ASCII')) # <<<<<<<<<<<<<< * else: @@ -7332,7 +7332,7 @@ static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize /* "View.MemoryView":248 * cdef array result - * + * * if buf == NULL: # <<<<<<<<<<<<<< * result = array(shape, itemsize, format, mode.decode('ASCII')) * else: @@ -7374,7 +7374,7 @@ static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize * result = array(shape, itemsize, format, mode.decode('ASCII'), * allocate_buffer=False) # <<<<<<<<<<<<<< * result.data = buf - * + * */ __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 252, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); @@ -7398,7 +7398,7 @@ static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize * result = array(shape, itemsize, format, mode.decode('ASCII'), * allocate_buffer=False) * result.data = buf # <<<<<<<<<<<<<< - * + * * return result */ __pyx_v_result->data = __pyx_v_buf; @@ -7407,10 +7407,10 @@ static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize /* "View.MemoryView":255 * result.data = buf - * + * * return result # <<<<<<<<<<<<<< - * - * + * + * */ __Pyx_XDECREF(((PyObject *)__pyx_r)); __Pyx_INCREF(((PyObject *)__pyx_v_result)); @@ -7418,7 +7418,7 @@ static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize goto __pyx_L0; /* "View.MemoryView":244 - * + * * @cname("__pyx_array_new") * cdef array array_cwrapper(tuple shape, Py_ssize_t itemsize, char *format, # <<<<<<<<<<<<<< * char *mode, char *buf): @@ -7535,7 +7535,7 @@ static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struc * self.name = name * def __repr__(self): # <<<<<<<<<<<<<< * return self.name - * + * */ /* Python wrapper */ @@ -7560,7 +7560,7 @@ static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr_ * self.name = name * def __repr__(self): * return self.name # <<<<<<<<<<<<<< - * + * * cdef generic = Enum("") */ __Pyx_XDECREF(__pyx_r); @@ -7573,7 +7573,7 @@ static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr_ * self.name = name * def __repr__(self): # <<<<<<<<<<<<<< * return self.name - * + * */ /* function exit code */ @@ -7871,7 +7871,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_Me } /* "View.MemoryView":298 - * + * * @cname('__pyx_align_pointer') * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< * "Align pointer memory on a given boundary" @@ -7889,59 +7889,59 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) * "Align pointer memory on a given boundary" * cdef Py_intptr_t aligned_p = memory # <<<<<<<<<<<<<< * cdef size_t offset - * + * */ __pyx_v_aligned_p = ((Py_intptr_t)__pyx_v_memory); /* "View.MemoryView":304 - * + * * with cython.cdivision(True): * offset = aligned_p % alignment # <<<<<<<<<<<<<< - * + * * if offset > 0: */ __pyx_v_offset = (__pyx_v_aligned_p % __pyx_v_alignment); /* "View.MemoryView":306 * offset = aligned_p % alignment - * + * * if offset > 0: # <<<<<<<<<<<<<< * aligned_p += alignment - offset - * + * */ __pyx_t_1 = ((__pyx_v_offset > 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":307 - * + * * if offset > 0: * aligned_p += alignment - offset # <<<<<<<<<<<<<< - * + * * return aligned_p */ __pyx_v_aligned_p = (__pyx_v_aligned_p + (__pyx_v_alignment - __pyx_v_offset)); /* "View.MemoryView":306 * offset = aligned_p % alignment - * + * * if offset > 0: # <<<<<<<<<<<<<< * aligned_p += alignment - offset - * + * */ } /* "View.MemoryView":309 * aligned_p += alignment - offset - * + * * return aligned_p # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_r = ((void *)__pyx_v_aligned_p); goto __pyx_L0; /* "View.MemoryView":298 - * + * * @cname('__pyx_align_pointer') * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< * "Align pointer memory on a given boundary" @@ -7955,7 +7955,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) /* "View.MemoryView":345 * cdef __Pyx_TypeInfo *typeinfo - * + * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< * self.obj = obj * self.flags = flags @@ -8050,7 +8050,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __Pyx_RefNannySetupContext("__cinit__", 0); /* "View.MemoryView":346 - * + * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj # <<<<<<<<<<<<<< * self.flags = flags @@ -8115,7 +8115,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) - * + * */ ((Py_buffer *)(&__pyx_v_self->view))->obj = Py_None; @@ -8123,7 +8123,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< - * + * * global __pyx_memoryview_thread_locks_used */ Py_INCREF(Py_None); @@ -8147,7 +8147,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ } /* "View.MemoryView":355 - * + * * global __pyx_memoryview_thread_locks_used * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: # <<<<<<<<<<<<<< * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] @@ -8175,7 +8175,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_memoryview_thread_locks_used = (__pyx_memoryview_thread_locks_used + 1); /* "View.MemoryView":355 - * + * * global __pyx_memoryview_thread_locks_used * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: # <<<<<<<<<<<<<< * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] @@ -8207,7 +8207,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ * self.lock = PyThread_allocate_lock() * if self.lock is NULL: # <<<<<<<<<<<<<< * raise MemoryError - * + * */ __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0); if (unlikely(__pyx_t_1)) { @@ -8216,7 +8216,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ * self.lock = PyThread_allocate_lock() * if self.lock is NULL: * raise MemoryError # <<<<<<<<<<<<<< - * + * * if flags & PyBUF_FORMAT: */ PyErr_NoMemory(); __PYX_ERR(2, 361, __pyx_L1_error) @@ -8226,7 +8226,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ * self.lock = PyThread_allocate_lock() * if self.lock is NULL: # <<<<<<<<<<<<<< * raise MemoryError - * + * */ } @@ -8241,7 +8241,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ /* "View.MemoryView":363 * raise MemoryError - * + * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') * else: @@ -8250,7 +8250,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ if (__pyx_t_1) { /* "View.MemoryView":364 - * + * * if flags & PyBUF_FORMAT: * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') # <<<<<<<<<<<<<< * else: @@ -8269,7 +8269,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ /* "View.MemoryView":363 * raise MemoryError - * + * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') * else: @@ -8281,7 +8281,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') * else: * self.dtype_is_object = dtype_is_object # <<<<<<<<<<<<<< - * + * * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( */ /*else*/ { @@ -8291,7 +8291,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ /* "View.MemoryView":368 * self.dtype_is_object = dtype_is_object - * + * * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( # <<<<<<<<<<<<<< * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) * self.typeinfo = NULL @@ -8302,14 +8302,14 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) * self.typeinfo = NULL # <<<<<<<<<<<<<< - * + * * def __dealloc__(memoryview self): */ __pyx_v_self->typeinfo = NULL; /* "View.MemoryView":345 * cdef __Pyx_TypeInfo *typeinfo - * + * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< * self.obj = obj * self.flags = flags @@ -8328,7 +8328,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ /* "View.MemoryView":372 * self.typeinfo = NULL - * + * * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) @@ -8358,7 +8358,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":373 - * + * * def __dealloc__(memoryview self): * if self.obj is not None: # <<<<<<<<<<<<<< * __Pyx_ReleaseBuffer(&self.view) @@ -8373,12 +8373,12 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) # <<<<<<<<<<<<<< * elif (<__pyx_buffer *> &self.view).obj == Py_None: - * + * */ __Pyx_ReleaseBuffer((&__pyx_v_self->view)); /* "View.MemoryView":373 - * + * * def __dealloc__(memoryview self): * if self.obj is not None: # <<<<<<<<<<<<<< * __Pyx_ReleaseBuffer(&self.view) @@ -8391,7 +8391,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) * elif (<__pyx_buffer *> &self.view).obj == Py_None: # <<<<<<<<<<<<<< - * + * * (<__pyx_buffer *> &self.view).obj = NULL */ __pyx_t_2 = ((((Py_buffer *)(&__pyx_v_self->view))->obj == Py_None) != 0); @@ -8399,18 +8399,18 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal /* "View.MemoryView":377 * elif (<__pyx_buffer *> &self.view).obj == Py_None: - * + * * (<__pyx_buffer *> &self.view).obj = NULL # <<<<<<<<<<<<<< * Py_DECREF(Py_None) - * + * */ ((Py_buffer *)(&__pyx_v_self->view))->obj = NULL; /* "View.MemoryView":378 - * + * * (<__pyx_buffer *> &self.view).obj = NULL * Py_DECREF(Py_None) # <<<<<<<<<<<<<< - * + * * cdef int i */ Py_DECREF(Py_None); @@ -8419,7 +8419,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) * elif (<__pyx_buffer *> &self.view).obj == Py_None: # <<<<<<<<<<<<<< - * + * * (<__pyx_buffer *> &self.view).obj = NULL */ } @@ -8529,7 +8529,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal * break * else: * PyThread_free_lock(self.lock) # <<<<<<<<<<<<<< - * + * * cdef char *get_item_pointer(memoryview self, object index) except NULL: */ PyThread_free_lock(__pyx_v_self->lock); @@ -8547,7 +8547,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal /* "View.MemoryView":372 * self.typeinfo = NULL - * + * * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) @@ -8559,7 +8559,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal /* "View.MemoryView":393 * PyThread_free_lock(self.lock) - * + * * cdef char *get_item_pointer(memoryview self, object index) except NULL: # <<<<<<<<<<<<<< * cdef Py_ssize_t dim * cdef char *itemp = self.view.buf @@ -8584,17 +8584,17 @@ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__py * cdef char *get_item_pointer(memoryview self, object index) except NULL: * cdef Py_ssize_t dim * cdef char *itemp = self.view.buf # <<<<<<<<<<<<<< - * + * * for dim, idx in enumerate(index): */ __pyx_v_itemp = ((char *)__pyx_v_self->view.buf); /* "View.MemoryView":397 * cdef char *itemp = self.view.buf - * + * * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< * itemp = pybuffer_index(&self.view, itemp, idx, dim) - * + * */ __pyx_t_1 = 0; if (likely(PyList_CheckExact(__pyx_v_index)) || PyTuple_CheckExact(__pyx_v_index)) { @@ -8642,10 +8642,10 @@ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__py __pyx_t_1 = (__pyx_t_1 + 1); /* "View.MemoryView":398 - * + * * for dim, idx in enumerate(index): * itemp = pybuffer_index(&self.view, itemp, idx, dim) # <<<<<<<<<<<<<< - * + * * return itemp */ __pyx_t_6 = __Pyx_PyIndex_AsSsize_t(__pyx_v_idx); if (unlikely((__pyx_t_6 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 398, __pyx_L1_error) @@ -8654,27 +8654,27 @@ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__py /* "View.MemoryView":397 * cdef char *itemp = self.view.buf - * + * * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< * itemp = pybuffer_index(&self.view, itemp, idx, dim) - * + * */ } __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":400 * itemp = pybuffer_index(&self.view, itemp, idx, dim) - * + * * return itemp # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_r = __pyx_v_itemp; goto __pyx_L0; /* "View.MemoryView":393 * PyThread_free_lock(self.lock) - * + * * cdef char *get_item_pointer(memoryview self, object index) except NULL: # <<<<<<<<<<<<<< * cdef Py_ssize_t dim * cdef char *itemp = self.view.buf @@ -8693,8 +8693,8 @@ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__py } /* "View.MemoryView":403 - * - * + * + * * def __getitem__(memoryview self, object index): # <<<<<<<<<<<<<< * if index is Ellipsis: * return self @@ -8728,11 +8728,11 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ __Pyx_RefNannySetupContext("__getitem__", 0); /* "View.MemoryView":404 - * + * * def __getitem__(memoryview self, object index): * if index is Ellipsis: # <<<<<<<<<<<<<< * return self - * + * */ __pyx_t_1 = (__pyx_v_index == __pyx_builtin_Ellipsis); __pyx_t_2 = (__pyx_t_1 != 0); @@ -8742,7 +8742,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ * def __getitem__(memoryview self, object index): * if index is Ellipsis: * return self # <<<<<<<<<<<<<< - * + * * have_slices, indices = _unellipsify(index, self.view.ndim) */ __Pyx_XDECREF(__pyx_r); @@ -8751,19 +8751,19 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ goto __pyx_L0; /* "View.MemoryView":404 - * + * * def __getitem__(memoryview self, object index): * if index is Ellipsis: # <<<<<<<<<<<<<< * return self - * + * */ } /* "View.MemoryView":407 * return self - * + * * have_slices, indices = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< - * + * * cdef char *itemp */ __pyx_t_3 = _unellipsify(__pyx_v_index, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 407, __pyx_L1_error) @@ -8777,8 +8777,8 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ __PYX_ERR(2, 407, __pyx_L1_error) } #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - __pyx_t_4 = PyTuple_GET_ITEM(sequence, 0); - __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_4 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_4); __Pyx_INCREF(__pyx_t_5); #else @@ -8797,7 +8797,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ __pyx_t_5 = 0; /* "View.MemoryView":410 - * + * * cdef char *itemp * if have_slices: # <<<<<<<<<<<<<< * return memview_slice(self, indices) @@ -8821,7 +8821,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ goto __pyx_L0; /* "View.MemoryView":410 - * + * * cdef char *itemp * if have_slices: # <<<<<<<<<<<<<< * return memview_slice(self, indices) @@ -8834,7 +8834,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ * else: * itemp = self.get_item_pointer(indices) # <<<<<<<<<<<<<< * return self.convert_item_to_object(itemp) - * + * */ /*else*/ { __pyx_t_6 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_indices); if (unlikely(__pyx_t_6 == ((char *)NULL))) __PYX_ERR(2, 413, __pyx_L1_error) @@ -8844,7 +8844,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ * else: * itemp = self.get_item_pointer(indices) * return self.convert_item_to_object(itemp) # <<<<<<<<<<<<<< - * + * * def __setitem__(memoryview self, object index, object value): */ __Pyx_XDECREF(__pyx_r); @@ -8856,8 +8856,8 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ } /* "View.MemoryView":403 - * - * + * + * * def __getitem__(memoryview self, object index): # <<<<<<<<<<<<<< * if index is Ellipsis: * return self @@ -8880,7 +8880,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ /* "View.MemoryView":416 * return self.convert_item_to_object(itemp) - * + * * def __setitem__(memoryview self, object index, object value): # <<<<<<<<<<<<<< * if self.view.readonly: * raise TypeError("Cannot assign to read-only memoryview") @@ -8912,11 +8912,11 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setit __Pyx_INCREF(__pyx_v_index); /* "View.MemoryView":417 - * + * * def __setitem__(memoryview self, object index, object value): * if self.view.readonly: # <<<<<<<<<<<<<< * raise TypeError("Cannot assign to read-only memoryview") - * + * */ __pyx_t_1 = (__pyx_v_self->view.readonly != 0); if (unlikely(__pyx_t_1)) { @@ -8925,7 +8925,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setit * def __setitem__(memoryview self, object index, object value): * if self.view.readonly: * raise TypeError("Cannot assign to read-only memoryview") # <<<<<<<<<<<<<< - * + * * have_slices, index = _unellipsify(index, self.view.ndim) */ __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__16, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 418, __pyx_L1_error) @@ -8935,19 +8935,19 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setit __PYX_ERR(2, 418, __pyx_L1_error) /* "View.MemoryView":417 - * + * * def __setitem__(memoryview self, object index, object value): * if self.view.readonly: # <<<<<<<<<<<<<< * raise TypeError("Cannot assign to read-only memoryview") - * + * */ } /* "View.MemoryView":420 * raise TypeError("Cannot assign to read-only memoryview") - * + * * have_slices, index = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< - * + * * if have_slices: */ __pyx_t_2 = _unellipsify(__pyx_v_index, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 420, __pyx_L1_error) @@ -8961,8 +8961,8 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setit __PYX_ERR(2, 420, __pyx_L1_error) } #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); - __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_3); __Pyx_INCREF(__pyx_t_4); #else @@ -8982,7 +8982,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setit /* "View.MemoryView":422 * have_slices, index = _unellipsify(index, self.view.ndim) - * + * * if have_slices: # <<<<<<<<<<<<<< * obj = self.is_slice(value) * if obj: @@ -8991,7 +8991,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setit if (__pyx_t_1) { /* "View.MemoryView":423 - * + * * if have_slices: * obj = self.is_slice(value) # <<<<<<<<<<<<<< * if obj: @@ -9056,7 +9056,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setit /* "View.MemoryView":422 * have_slices, index = _unellipsify(index, self.view.ndim) - * + * * if have_slices: # <<<<<<<<<<<<<< * obj = self.is_slice(value) * if obj: @@ -9068,7 +9068,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setit * self.setitem_slice_assign_scalar(self[index], value) * else: * self.setitem_indexed(index, value) # <<<<<<<<<<<<<< - * + * * cdef is_slice(self, obj): */ /*else*/ { @@ -9080,7 +9080,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setit /* "View.MemoryView":416 * return self.convert_item_to_object(itemp) - * + * * def __setitem__(memoryview self, object index, object value): # <<<<<<<<<<<<<< * if self.view.readonly: * raise TypeError("Cannot assign to read-only memoryview") @@ -9105,7 +9105,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setit /* "View.MemoryView":431 * self.setitem_indexed(index, value) - * + * * cdef is_slice(self, obj): # <<<<<<<<<<<<<< * if not isinstance(obj, memoryview): * try: @@ -9127,13 +9127,13 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ __Pyx_INCREF(__pyx_v_obj); /* "View.MemoryView":432 - * + * * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): # <<<<<<<<<<<<<< * try: * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, */ - __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_obj, __pyx_memoryview_type); + __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_obj, __pyx_memoryview_type); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { @@ -9219,7 +9219,7 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ * self.dtype_is_object) * except TypeError: # <<<<<<<<<<<<<< * return None - * + * */ __pyx_t_9 = __Pyx_PyErr_ExceptionMatches(__pyx_builtin_TypeError); if (__pyx_t_9) { @@ -9233,7 +9233,7 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ * self.dtype_is_object) * except TypeError: * return None # <<<<<<<<<<<<<< - * + * * return obj */ __Pyx_XDECREF(__pyx_r); @@ -9268,7 +9268,7 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ } /* "View.MemoryView":432 - * + * * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): # <<<<<<<<<<<<<< * try: @@ -9278,9 +9278,9 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ /* "View.MemoryView":439 * return None - * + * * return obj # <<<<<<<<<<<<<< - * + * * cdef setitem_slice_assignment(self, dst, src): */ __Pyx_XDECREF(__pyx_r); @@ -9290,7 +9290,7 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ /* "View.MemoryView":431 * self.setitem_indexed(index, value) - * + * * cdef is_slice(self, obj): # <<<<<<<<<<<<<< * if not isinstance(obj, memoryview): * try: @@ -9312,7 +9312,7 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ /* "View.MemoryView":441 * return obj - * + * * cdef setitem_slice_assignment(self, dst, src): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice dst_slice * cdef __Pyx_memviewslice src_slice @@ -9333,7 +9333,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryvi /* "View.MemoryView":445 * cdef __Pyx_memviewslice src_slice - * + * * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], # <<<<<<<<<<<<<< * get_slice_from_memview(dst, &dst_slice)[0], * src.ndim, dst.ndim, self.dtype_is_object) @@ -9342,11 +9342,11 @@ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryvi __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_src), (&__pyx_v_src_slice)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 445, __pyx_L1_error) /* "View.MemoryView":446 - * + * * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], * get_slice_from_memview(dst, &dst_slice)[0], # <<<<<<<<<<<<<< * src.ndim, dst.ndim, self.dtype_is_object) - * + * */ if (!(likely(((__pyx_v_dst) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_dst, __pyx_memoryview_type))))) __PYX_ERR(2, 446, __pyx_L1_error) __pyx_t_2 = __pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_dst), (&__pyx_v_dst_slice)); if (unlikely(__pyx_t_2 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 446, __pyx_L1_error) @@ -9355,7 +9355,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryvi * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], * get_slice_from_memview(dst, &dst_slice)[0], * src.ndim, dst.ndim, self.dtype_is_object) # <<<<<<<<<<<<<< - * + * * cdef setitem_slice_assign_scalar(self, memoryview dst, value): */ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_src, __pyx_n_s_ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 447, __pyx_L1_error) @@ -9369,7 +9369,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryvi /* "View.MemoryView":445 * cdef __Pyx_memviewslice src_slice - * + * * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], # <<<<<<<<<<<<<< * get_slice_from_memview(dst, &dst_slice)[0], * src.ndim, dst.ndim, self.dtype_is_object) @@ -9378,7 +9378,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryvi /* "View.MemoryView":441 * return obj - * + * * cdef setitem_slice_assignment(self, dst, src): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice dst_slice * cdef __Pyx_memviewslice src_slice @@ -9399,7 +9399,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryvi /* "View.MemoryView":449 * src.ndim, dst.ndim, self.dtype_is_object) - * + * * cdef setitem_slice_assign_scalar(self, memoryview dst, value): # <<<<<<<<<<<<<< * cdef int array[128] * cdef void *tmp = NULL @@ -9432,7 +9432,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor * cdef int array[128] * cdef void *tmp = NULL # <<<<<<<<<<<<<< * cdef void *item - * + * */ __pyx_v_tmp = NULL; @@ -9440,7 +9440,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor * cdef __Pyx_memviewslice *dst_slice * cdef __Pyx_memviewslice tmp_slice * dst_slice = get_slice_from_memview(dst, &tmp_slice) # <<<<<<<<<<<<<< - * + * * if self.view.itemsize > sizeof(array): */ __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_dst, (&__pyx_v_tmp_slice)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 456, __pyx_L1_error) @@ -9448,7 +9448,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor /* "View.MemoryView":458 * dst_slice = get_slice_from_memview(dst, &tmp_slice) - * + * * if self.view.itemsize > sizeof(array): # <<<<<<<<<<<<<< * tmp = PyMem_Malloc(self.view.itemsize) * if tmp == NULL: @@ -9457,7 +9457,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor if (__pyx_t_2) { /* "View.MemoryView":459 - * + * * if self.view.itemsize > sizeof(array): * tmp = PyMem_Malloc(self.view.itemsize) # <<<<<<<<<<<<<< * if tmp == NULL: @@ -9504,7 +9504,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor /* "View.MemoryView":458 * dst_slice = get_slice_from_memview(dst, &tmp_slice) - * + * * if self.view.itemsize > sizeof(array): # <<<<<<<<<<<<<< * tmp = PyMem_Malloc(self.view.itemsize) * if tmp == NULL: @@ -9516,7 +9516,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor * item = tmp * else: * item = array # <<<<<<<<<<<<<< - * + * * try: */ /*else*/ { @@ -9526,7 +9526,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor /* "View.MemoryView":466 * item = array - * + * * try: # <<<<<<<<<<<<<< * if self.dtype_is_object: * ( item)[0] = value @@ -9534,7 +9534,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor /*try:*/ { /* "View.MemoryView":467 - * + * * try: * if self.dtype_is_object: # <<<<<<<<<<<<<< * ( item)[0] = value @@ -9553,7 +9553,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor (((PyObject **)__pyx_v_item)[0]) = ((PyObject *)__pyx_v_value); /* "View.MemoryView":467 - * + * * try: * if self.dtype_is_object: # <<<<<<<<<<<<<< * ( item)[0] = value @@ -9566,8 +9566,8 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor * ( item)[0] = value * else: * self.assign_item_from_object( item, value) # <<<<<<<<<<<<<< - * - * + * + * */ /*else*/ { __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, ((char *)__pyx_v_item), __pyx_v_value); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 470, __pyx_L6_error) @@ -9577,8 +9577,8 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor __pyx_L8:; /* "View.MemoryView":474 - * - * + * + * * if self.view.suboffsets != NULL: # <<<<<<<<<<<<<< * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, @@ -9587,7 +9587,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor if (__pyx_t_2) { /* "View.MemoryView":475 - * + * * if self.view.suboffsets != NULL: * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) # <<<<<<<<<<<<<< * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, @@ -9598,8 +9598,8 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":474 - * - * + * + * * if self.view.suboffsets != NULL: # <<<<<<<<<<<<<< * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, @@ -9620,7 +9620,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor * item, self.dtype_is_object) * finally: * PyMem_Free(tmp) # <<<<<<<<<<<<<< - * + * * cdef setitem_indexed(self, index, value): */ /*finally:*/ { @@ -9665,7 +9665,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor /* "View.MemoryView":449 * src.ndim, dst.ndim, self.dtype_is_object) - * + * * cdef setitem_slice_assign_scalar(self, memoryview dst, value): # <<<<<<<<<<<<<< * cdef int array[128] * cdef void *tmp = NULL @@ -9686,7 +9686,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor /* "View.MemoryView":481 * PyMem_Free(tmp) - * + * * cdef setitem_indexed(self, index, value): # <<<<<<<<<<<<<< * cdef char *itemp = self.get_item_pointer(index) * self.assign_item_from_object(itemp, value) @@ -9701,11 +9701,11 @@ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *_ __Pyx_RefNannySetupContext("setitem_indexed", 0); /* "View.MemoryView":482 - * + * * cdef setitem_indexed(self, index, value): * cdef char *itemp = self.get_item_pointer(index) # <<<<<<<<<<<<<< * self.assign_item_from_object(itemp, value) - * + * */ __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_index); if (unlikely(__pyx_t_1 == ((char *)NULL))) __PYX_ERR(2, 482, __pyx_L1_error) __pyx_v_itemp = __pyx_t_1; @@ -9714,7 +9714,7 @@ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *_ * cdef setitem_indexed(self, index, value): * cdef char *itemp = self.get_item_pointer(index) * self.assign_item_from_object(itemp, value) # <<<<<<<<<<<<<< - * + * * cdef convert_item_to_object(self, char *itemp): */ __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 483, __pyx_L1_error) @@ -9723,7 +9723,7 @@ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *_ /* "View.MemoryView":481 * PyMem_Free(tmp) - * + * * cdef setitem_indexed(self, index, value): # <<<<<<<<<<<<<< * cdef char *itemp = self.get_item_pointer(index) * self.assign_item_from_object(itemp, value) @@ -9744,7 +9744,7 @@ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *_ /* "View.MemoryView":485 * self.assign_item_from_object(itemp, value) - * + * * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" @@ -9774,7 +9774,7 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview * know how to convert the type""" * import struct # <<<<<<<<<<<<<< * cdef bytes bytesitem - * + * */ __pyx_t_1 = __Pyx_Import(__pyx_n_s_struct, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 488, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); @@ -9783,7 +9783,7 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview /* "View.MemoryView":491 * cdef bytes bytesitem - * + * * bytesitem = itemp[:self.view.itemsize] # <<<<<<<<<<<<<< * try: * result = struct.unpack(self.view.format, bytesitem) @@ -9794,7 +9794,7 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview __pyx_t_1 = 0; /* "View.MemoryView":492 - * + * * bytesitem = itemp[:self.view.itemsize] * try: # <<<<<<<<<<<<<< * result = struct.unpack(self.view.format, bytesitem) @@ -9871,7 +9871,7 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview __pyx_t_1 = 0; /* "View.MemoryView":492 - * + * * bytesitem = itemp[:self.view.itemsize] * try: # <<<<<<<<<<<<<< * result = struct.unpack(self.view.format, bytesitem) @@ -9887,7 +9887,7 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview * return result */ /*else:*/ { - __pyx_t_10 = strlen(__pyx_v_self->view.format); + __pyx_t_10 = strlen(__pyx_v_self->view.format); __pyx_t_11 = ((__pyx_t_10 == 1) != 0); if (__pyx_t_11) { @@ -9896,7 +9896,7 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview * if len(self.view.format) == 1: * return result[0] # <<<<<<<<<<<<<< * return result - * + * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_result, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 498, __pyx_L5_except_error) @@ -9918,7 +9918,7 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview * if len(self.view.format) == 1: * return result[0] * return result # <<<<<<<<<<<<<< - * + * * cdef assign_item_from_object(self, char *itemp, object value): */ __Pyx_XDECREF(__pyx_r); @@ -9971,7 +9971,7 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview __pyx_L5_except_error:; /* "View.MemoryView":492 - * + * * bytesitem = itemp[:self.view.itemsize] * try: # <<<<<<<<<<<<<< * result = struct.unpack(self.view.format, bytesitem) @@ -9992,7 +9992,7 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview /* "View.MemoryView":485 * self.assign_item_from_object(itemp, value) - * + * * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" @@ -10018,7 +10018,7 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview /* "View.MemoryView":501 * return result - * + * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" @@ -10061,17 +10061,17 @@ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryvie /* "View.MemoryView":509 * cdef Py_ssize_t i - * + * * if isinstance(value, tuple): # <<<<<<<<<<<<<< * bytesvalue = struct.pack(self.view.format, *value) * else: */ - __pyx_t_2 = PyTuple_Check(__pyx_v_value); + __pyx_t_2 = PyTuple_Check(__pyx_v_value); __pyx_t_3 = (__pyx_t_2 != 0); if (__pyx_t_3) { /* "View.MemoryView":510 - * + * * if isinstance(value, tuple): * bytesvalue = struct.pack(self.view.format, *value) # <<<<<<<<<<<<<< * else: @@ -10102,7 +10102,7 @@ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryvie /* "View.MemoryView":509 * cdef Py_ssize_t i - * + * * if isinstance(value, tuple): # <<<<<<<<<<<<<< * bytesvalue = struct.pack(self.view.format, *value) * else: @@ -10114,7 +10114,7 @@ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryvie * bytesvalue = struct.pack(self.view.format, *value) * else: * bytesvalue = struct.pack(self.view.format, value) # <<<<<<<<<<<<<< - * + * * for i, c in enumerate(bytesvalue): */ /*else*/ { @@ -10177,10 +10177,10 @@ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryvie /* "View.MemoryView":514 * bytesvalue = struct.pack(self.view.format, value) - * + * * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< * itemp[i] = c - * + * */ __pyx_t_9 = 0; if (unlikely(__pyx_v_bytesvalue == Py_None)) { @@ -10196,28 +10196,28 @@ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryvie __pyx_v_c = (__pyx_t_11[0]); /* "View.MemoryView":515 - * + * * for i, c in enumerate(bytesvalue): * itemp[i] = c # <<<<<<<<<<<<<< - * + * * @cname('getbuffer') */ __pyx_v_i = __pyx_t_9; /* "View.MemoryView":514 * bytesvalue = struct.pack(self.view.format, value) - * + * * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< * itemp[i] = c - * + * */ __pyx_t_9 = (__pyx_t_9 + 1); /* "View.MemoryView":515 - * + * * for i, c in enumerate(bytesvalue): * itemp[i] = c # <<<<<<<<<<<<<< - * + * * @cname('getbuffer') */ (__pyx_v_itemp[__pyx_v_i]) = __pyx_v_c; @@ -10226,7 +10226,7 @@ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryvie /* "View.MemoryView":501 * return result - * + * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" @@ -10253,7 +10253,7 @@ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryvie } /* "View.MemoryView":518 - * + * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< * if flags & PyBUF_WRITABLE and self.view.readonly: @@ -10297,7 +10297,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_WRITABLE and self.view.readonly: # <<<<<<<<<<<<<< * raise ValueError("Cannot create writable memory view from read-only memoryview") - * + * */ __pyx_t_2 = ((__pyx_v_flags & PyBUF_WRITABLE) != 0); if (__pyx_t_2) { @@ -10314,7 +10314,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_WRITABLE and self.view.readonly: * raise ValueError("Cannot create writable memory view from read-only memoryview") # <<<<<<<<<<<<<< - * + * * if flags & PyBUF_ND: */ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__18, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 520, __pyx_L1_error) @@ -10328,13 +10328,13 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_WRITABLE and self.view.readonly: # <<<<<<<<<<<<<< * raise ValueError("Cannot create writable memory view from read-only memoryview") - * + * */ } /* "View.MemoryView":522 * raise ValueError("Cannot create writable memory view from read-only memoryview") - * + * * if flags & PyBUF_ND: # <<<<<<<<<<<<<< * info.shape = self.view.shape * else: @@ -10343,7 +10343,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu if (__pyx_t_1) { /* "View.MemoryView":523 - * + * * if flags & PyBUF_ND: * info.shape = self.view.shape # <<<<<<<<<<<<<< * else: @@ -10354,7 +10354,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu /* "View.MemoryView":522 * raise ValueError("Cannot create writable memory view from read-only memoryview") - * + * * if flags & PyBUF_ND: # <<<<<<<<<<<<<< * info.shape = self.view.shape * else: @@ -10366,7 +10366,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu * info.shape = self.view.shape * else: * info.shape = NULL # <<<<<<<<<<<<<< - * + * * if flags & PyBUF_STRIDES: */ /*else*/ { @@ -10376,7 +10376,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu /* "View.MemoryView":527 * info.shape = NULL - * + * * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< * info.strides = self.view.strides * else: @@ -10385,7 +10385,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu if (__pyx_t_1) { /* "View.MemoryView":528 - * + * * if flags & PyBUF_STRIDES: * info.strides = self.view.strides # <<<<<<<<<<<<<< * else: @@ -10396,7 +10396,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu /* "View.MemoryView":527 * info.shape = NULL - * + * * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< * info.strides = self.view.strides * else: @@ -10408,7 +10408,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu * info.strides = self.view.strides * else: * info.strides = NULL # <<<<<<<<<<<<<< - * + * * if flags & PyBUF_INDIRECT: */ /*else*/ { @@ -10418,7 +10418,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu /* "View.MemoryView":532 * info.strides = NULL - * + * * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< * info.suboffsets = self.view.suboffsets * else: @@ -10427,7 +10427,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu if (__pyx_t_1) { /* "View.MemoryView":533 - * + * * if flags & PyBUF_INDIRECT: * info.suboffsets = self.view.suboffsets # <<<<<<<<<<<<<< * else: @@ -10438,7 +10438,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu /* "View.MemoryView":532 * info.strides = NULL - * + * * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< * info.suboffsets = self.view.suboffsets * else: @@ -10450,7 +10450,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu * info.suboffsets = self.view.suboffsets * else: * info.suboffsets = NULL # <<<<<<<<<<<<<< - * + * * if flags & PyBUF_FORMAT: */ /*else*/ { @@ -10460,7 +10460,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu /* "View.MemoryView":537 * info.suboffsets = NULL - * + * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * info.format = self.view.format * else: @@ -10469,7 +10469,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu if (__pyx_t_1) { /* "View.MemoryView":538 - * + * * if flags & PyBUF_FORMAT: * info.format = self.view.format # <<<<<<<<<<<<<< * else: @@ -10480,7 +10480,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu /* "View.MemoryView":537 * info.suboffsets = NULL - * + * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * info.format = self.view.format * else: @@ -10492,7 +10492,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu * info.format = self.view.format * else: * info.format = NULL # <<<<<<<<<<<<<< - * + * * info.buf = self.view.buf */ /*else*/ { @@ -10502,7 +10502,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu /* "View.MemoryView":542 * info.format = NULL - * + * * info.buf = self.view.buf # <<<<<<<<<<<<<< * info.ndim = self.view.ndim * info.itemsize = self.view.itemsize @@ -10511,7 +10511,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu __pyx_v_info->buf = __pyx_t_6; /* "View.MemoryView":543 - * + * * info.buf = self.view.buf * info.ndim = self.view.ndim # <<<<<<<<<<<<<< * info.itemsize = self.view.itemsize @@ -10545,7 +10545,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu * info.len = self.view.len * info.readonly = self.view.readonly # <<<<<<<<<<<<<< * info.obj = self - * + * */ __pyx_t_1 = __pyx_v_self->view.readonly; __pyx_v_info->readonly = __pyx_t_1; @@ -10554,7 +10554,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu * info.len = self.view.len * info.readonly = self.view.readonly * info.obj = self # <<<<<<<<<<<<<< - * + * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); @@ -10564,7 +10564,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu __pyx_v_info->obj = ((PyObject *)__pyx_v_self); /* "View.MemoryView":518 - * + * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< * if flags & PyBUF_WRITABLE and self.view.readonly: @@ -10594,7 +10594,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu } /* "View.MemoryView":553 - * + * * @property * def T(self): # <<<<<<<<<<<<<< * cdef _memoryviewslice result = memoryview_copy(self) @@ -10640,7 +10640,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct _ * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) # <<<<<<<<<<<<<< * return result - * + * */ __pyx_t_2 = __pyx_memslice_transpose((&__pyx_v_result->from_slice)); if (unlikely(__pyx_t_2 == ((int)0))) __PYX_ERR(2, 555, __pyx_L1_error) @@ -10648,7 +10648,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct _ * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) * return result # <<<<<<<<<<<<<< - * + * * @property */ __Pyx_XDECREF(__pyx_r); @@ -10657,7 +10657,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct _ goto __pyx_L0; /* "View.MemoryView":553 - * + * * @property * def T(self): # <<<<<<<<<<<<<< * cdef _memoryviewslice result = memoryview_copy(self) @@ -10677,11 +10677,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct _ } /* "View.MemoryView":559 - * + * * @property * def base(self): # <<<<<<<<<<<<<< * return self.obj - * + * */ /* Python wrapper */ @@ -10706,7 +10706,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struc * @property * def base(self): * return self.obj # <<<<<<<<<<<<<< - * + * * @property */ __Pyx_XDECREF(__pyx_r); @@ -10715,11 +10715,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struc goto __pyx_L0; /* "View.MemoryView":559 - * + * * @property * def base(self): # <<<<<<<<<<<<<< * return self.obj - * + * */ /* function exit code */ @@ -10730,11 +10730,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struc } /* "View.MemoryView":563 - * + * * @property * def shape(self): # <<<<<<<<<<<<<< * return tuple([length for length in self.view.shape[:self.view.ndim]]) - * + * */ /* Python wrapper */ @@ -10765,7 +10765,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(stru * @property * def shape(self): * return tuple([length for length in self.view.shape[:self.view.ndim]]) # <<<<<<<<<<<<<< - * + * * @property */ __Pyx_XDECREF(__pyx_r); @@ -10788,11 +10788,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(stru goto __pyx_L0; /* "View.MemoryView":563 - * + * * @property * def shape(self): # <<<<<<<<<<<<<< * return tuple([length for length in self.view.shape[:self.view.ndim]]) - * + * */ /* function exit code */ @@ -10808,11 +10808,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(stru } /* "View.MemoryView":567 - * + * * @property * def strides(self): # <<<<<<<<<<<<<< * if self.view.strides == NULL: - * + * */ /* Python wrapper */ @@ -10844,7 +10844,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(st * @property * def strides(self): * if self.view.strides == NULL: # <<<<<<<<<<<<<< - * + * * raise ValueError("Buffer view does not expose strides") */ __pyx_t_1 = ((__pyx_v_self->view.strides == NULL) != 0); @@ -10852,9 +10852,9 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(st /* "View.MemoryView":570 * if self.view.strides == NULL: - * + * * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< - * + * * return tuple([stride for stride in self.view.strides[:self.view.ndim]]) */ __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__19, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 570, __pyx_L1_error) @@ -10867,16 +10867,16 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(st * @property * def strides(self): * if self.view.strides == NULL: # <<<<<<<<<<<<<< - * + * * raise ValueError("Buffer view does not expose strides") */ } /* "View.MemoryView":572 * raise ValueError("Buffer view does not expose strides") - * + * * return tuple([stride for stride in self.view.strides[:self.view.ndim]]) # <<<<<<<<<<<<<< - * + * * @property */ __Pyx_XDECREF(__pyx_r); @@ -10899,11 +10899,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(st goto __pyx_L0; /* "View.MemoryView":567 - * + * * @property * def strides(self): # <<<<<<<<<<<<<< * if self.view.strides == NULL: - * + * */ /* function exit code */ @@ -10919,7 +10919,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(st } /* "View.MemoryView":575 - * + * * @property * def suboffsets(self): # <<<<<<<<<<<<<< * if self.view.suboffsets == NULL: @@ -10956,7 +10956,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get_ * def suboffsets(self): * if self.view.suboffsets == NULL: # <<<<<<<<<<<<<< * return (-1,) * self.view.ndim - * + * */ __pyx_t_1 = ((__pyx_v_self->view.suboffsets == NULL) != 0); if (__pyx_t_1) { @@ -10965,7 +10965,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get_ * def suboffsets(self): * if self.view.suboffsets == NULL: * return (-1,) * self.view.ndim # <<<<<<<<<<<<<< - * + * * return tuple([suboffset for suboffset in self.view.suboffsets[:self.view.ndim]]) */ __Pyx_XDECREF(__pyx_r); @@ -10983,15 +10983,15 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get_ * def suboffsets(self): * if self.view.suboffsets == NULL: # <<<<<<<<<<<<<< * return (-1,) * self.view.ndim - * + * */ } /* "View.MemoryView":579 * return (-1,) * self.view.ndim - * + * * return tuple([suboffset for suboffset in self.view.suboffsets[:self.view.ndim]]) # <<<<<<<<<<<<<< - * + * * @property */ __Pyx_XDECREF(__pyx_r); @@ -11014,7 +11014,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get_ goto __pyx_L0; /* "View.MemoryView":575 - * + * * @property * def suboffsets(self): # <<<<<<<<<<<<<< * if self.view.suboffsets == NULL: @@ -11034,11 +11034,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get_ } /* "View.MemoryView":582 - * + * * @property * def ndim(self): # <<<<<<<<<<<<<< * return self.view.ndim - * + * */ /* Python wrapper */ @@ -11064,7 +11064,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struc * @property * def ndim(self): * return self.view.ndim # <<<<<<<<<<<<<< - * + * * @property */ __Pyx_XDECREF(__pyx_r); @@ -11075,11 +11075,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struc goto __pyx_L0; /* "View.MemoryView":582 - * + * * @property * def ndim(self): # <<<<<<<<<<<<<< * return self.view.ndim - * + * */ /* function exit code */ @@ -11094,11 +11094,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struc } /* "View.MemoryView":586 - * + * * @property * def itemsize(self): # <<<<<<<<<<<<<< * return self.view.itemsize - * + * */ /* Python wrapper */ @@ -11124,7 +11124,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(s * @property * def itemsize(self): * return self.view.itemsize # <<<<<<<<<<<<<< - * + * * @property */ __Pyx_XDECREF(__pyx_r); @@ -11135,11 +11135,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(s goto __pyx_L0; /* "View.MemoryView":586 - * + * * @property * def itemsize(self): # <<<<<<<<<<<<<< * return self.view.itemsize - * + * */ /* function exit code */ @@ -11154,11 +11154,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(s } /* "View.MemoryView":590 - * + * * @property * def nbytes(self): # <<<<<<<<<<<<<< * return self.size * self.view.itemsize - * + * */ /* Python wrapper */ @@ -11186,7 +11186,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(str * @property * def nbytes(self): * return self.size * self.view.itemsize # <<<<<<<<<<<<<< - * + * * @property */ __Pyx_XDECREF(__pyx_r); @@ -11203,11 +11203,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(str goto __pyx_L0; /* "View.MemoryView":590 - * + * * @property * def nbytes(self): # <<<<<<<<<<<<<< * return self.size * self.view.itemsize - * + * */ /* function exit code */ @@ -11224,7 +11224,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(str } /* "View.MemoryView":594 - * + * * @property * def size(self): # <<<<<<<<<<<<<< * if self._size is None: @@ -11262,7 +11262,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struc * def size(self): * if self._size is None: # <<<<<<<<<<<<<< * result = 1 - * + * */ __pyx_t_1 = (__pyx_v_self->_size == Py_None); __pyx_t_2 = (__pyx_t_1 != 0); @@ -11272,7 +11272,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struc * def size(self): * if self._size is None: * result = 1 # <<<<<<<<<<<<<< - * + * * for length in self.view.shape[:self.view.ndim]: */ __Pyx_INCREF(__pyx_int_1); @@ -11280,10 +11280,10 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struc /* "View.MemoryView":598 * result = 1 - * + * * for length in self.view.shape[:self.view.ndim]: # <<<<<<<<<<<<<< * result *= length - * + * */ __pyx_t_4 = (__pyx_v_self->view.shape + __pyx_v_self->view.ndim); for (__pyx_t_5 = __pyx_v_self->view.shape; __pyx_t_5 < __pyx_t_4; __pyx_t_5++) { @@ -11294,10 +11294,10 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struc __pyx_t_6 = 0; /* "View.MemoryView":599 - * + * * for length in self.view.shape[:self.view.ndim]: * result *= length # <<<<<<<<<<<<<< - * + * * self._size = result */ __pyx_t_6 = PyNumber_InPlaceMultiply(__pyx_v_result, __pyx_v_length); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 599, __pyx_L1_error) @@ -11308,9 +11308,9 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struc /* "View.MemoryView":601 * result *= length - * + * * self._size = result # <<<<<<<<<<<<<< - * + * * return self._size */ __Pyx_INCREF(__pyx_v_result); @@ -11324,15 +11324,15 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struc * def size(self): * if self._size is None: # <<<<<<<<<<<<<< * result = 1 - * + * */ } /* "View.MemoryView":603 * self._size = result - * + * * return self._size # <<<<<<<<<<<<<< - * + * * def __len__(self): */ __Pyx_XDECREF(__pyx_r); @@ -11341,7 +11341,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struc goto __pyx_L0; /* "View.MemoryView":594 - * + * * @property * def size(self): # <<<<<<<<<<<<<< * if self._size is None: @@ -11363,7 +11363,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struc /* "View.MemoryView":605 * return self._size - * + * * def __len__(self): # <<<<<<<<<<<<<< * if self.view.ndim >= 1: * return self.view.shape[0] @@ -11389,11 +11389,11 @@ static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_1 __Pyx_RefNannySetupContext("__len__", 0); /* "View.MemoryView":606 - * + * * def __len__(self): * if self.view.ndim >= 1: # <<<<<<<<<<<<<< * return self.view.shape[0] - * + * */ __pyx_t_1 = ((__pyx_v_self->view.ndim >= 1) != 0); if (__pyx_t_1) { @@ -11402,26 +11402,26 @@ static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_1 * def __len__(self): * if self.view.ndim >= 1: * return self.view.shape[0] # <<<<<<<<<<<<<< - * + * * return 0 */ __pyx_r = (__pyx_v_self->view.shape[0]); goto __pyx_L0; /* "View.MemoryView":606 - * + * * def __len__(self): * if self.view.ndim >= 1: # <<<<<<<<<<<<<< * return self.view.shape[0] - * + * */ } /* "View.MemoryView":609 * return self.view.shape[0] - * + * * return 0 # <<<<<<<<<<<<<< - * + * * def __repr__(self): */ __pyx_r = 0; @@ -11429,7 +11429,7 @@ static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_1 /* "View.MemoryView":605 * return self._size - * + * * def __len__(self): # <<<<<<<<<<<<<< * if self.view.ndim >= 1: * return self.view.shape[0] @@ -11443,7 +11443,7 @@ static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_1 /* "View.MemoryView":611 * return 0 - * + * * def __repr__(self): # <<<<<<<<<<<<<< * return "" % (self.base.__class__.__name__, * id(self)) @@ -11471,11 +11471,11 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12 __Pyx_RefNannySetupContext("__repr__", 0); /* "View.MemoryView":612 - * + * * def __repr__(self): * return "" % (self.base.__class__.__name__, # <<<<<<<<<<<<<< * id(self)) - * + * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_base); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 612, __pyx_L1_error) @@ -11491,18 +11491,18 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12 * def __repr__(self): * return "" % (self.base.__class__.__name__, * id(self)) # <<<<<<<<<<<<<< - * + * * def __str__(self): */ __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_builtin_id, ((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 613, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); /* "View.MemoryView":612 - * + * * def __repr__(self): * return "" % (self.base.__class__.__name__, # <<<<<<<<<<<<<< * id(self)) - * + * */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 612, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); @@ -11521,7 +11521,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12 /* "View.MemoryView":611 * return 0 - * + * * def __repr__(self): # <<<<<<<<<<<<<< * return "" % (self.base.__class__.__name__, * id(self)) @@ -11542,10 +11542,10 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12 /* "View.MemoryView":615 * id(self)) - * + * * def __str__(self): # <<<<<<<<<<<<<< * return "" % (self.base.__class__.__name__,) - * + * */ /* Python wrapper */ @@ -11569,11 +11569,11 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14 __Pyx_RefNannySetupContext("__str__", 0); /* "View.MemoryView":616 - * + * * def __str__(self): * return "" % (self.base.__class__.__name__,) # <<<<<<<<<<<<<< - * - * + * + * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_base); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 616, __pyx_L1_error) @@ -11598,10 +11598,10 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14 /* "View.MemoryView":615 * id(self)) - * + * * def __str__(self): # <<<<<<<<<<<<<< * return "" % (self.base.__class__.__name__,) - * + * */ /* function exit code */ @@ -11617,8 +11617,8 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14 } /* "View.MemoryView":619 - * - * + * + * * def is_c_contig(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice *mslice * cdef __Pyx_memviewslice tmp @@ -11651,7 +11651,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16 * cdef __Pyx_memviewslice tmp * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< * return slice_is_contig(mslice[0], 'C', self.view.ndim) - * + * */ __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 622, __pyx_L1_error) __pyx_v_mslice = __pyx_t_1; @@ -11660,7 +11660,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16 * cdef __Pyx_memviewslice tmp * mslice = get_slice_from_memview(self, &tmp) * return slice_is_contig(mslice[0], 'C', self.view.ndim) # <<<<<<<<<<<<<< - * + * * def is_f_contig(self): */ __Pyx_XDECREF(__pyx_r); @@ -11671,8 +11671,8 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16 goto __pyx_L0; /* "View.MemoryView":619 - * - * + * + * * def is_c_contig(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice *mslice * cdef __Pyx_memviewslice tmp @@ -11691,7 +11691,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16 /* "View.MemoryView":625 * return slice_is_contig(mslice[0], 'C', self.view.ndim) - * + * * def is_f_contig(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice *mslice * cdef __Pyx_memviewslice tmp @@ -11724,7 +11724,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18 * cdef __Pyx_memviewslice tmp * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< * return slice_is_contig(mslice[0], 'F', self.view.ndim) - * + * */ __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 628, __pyx_L1_error) __pyx_v_mslice = __pyx_t_1; @@ -11733,7 +11733,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18 * cdef __Pyx_memviewslice tmp * mslice = get_slice_from_memview(self, &tmp) * return slice_is_contig(mslice[0], 'F', self.view.ndim) # <<<<<<<<<<<<<< - * + * * def copy(self): */ __Pyx_XDECREF(__pyx_r); @@ -11745,7 +11745,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18 /* "View.MemoryView":625 * return slice_is_contig(mslice[0], 'C', self.view.ndim) - * + * * def is_f_contig(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice *mslice * cdef __Pyx_memviewslice tmp @@ -11764,7 +11764,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18 /* "View.MemoryView":631 * return slice_is_contig(mslice[0], 'F', self.view.ndim) - * + * * def copy(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice mslice * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS @@ -11796,14 +11796,14 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20 * def copy(self): * cdef __Pyx_memviewslice mslice * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS # <<<<<<<<<<<<<< - * + * * slice_copy(self, &mslice) */ __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_F_CONTIGUOUS)); /* "View.MemoryView":635 * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS - * + * * slice_copy(self, &mslice) # <<<<<<<<<<<<<< * mslice = slice_copy_contig(&mslice, "c", self.view.ndim, * self.view.itemsize, @@ -11811,7 +11811,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20 __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_mslice)); /* "View.MemoryView":636 - * + * * slice_copy(self, &mslice) * mslice = slice_copy_contig(&mslice, "c", self.view.ndim, # <<<<<<<<<<<<<< * self.view.itemsize, @@ -11822,9 +11822,9 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20 /* "View.MemoryView":641 * self.dtype_is_object) - * + * * return memoryview_copy_from_slice(self, &mslice) # <<<<<<<<<<<<<< - * + * * def copy_fortran(self): */ __Pyx_XDECREF(__pyx_r); @@ -11836,7 +11836,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20 /* "View.MemoryView":631 * return slice_is_contig(mslice[0], 'F', self.view.ndim) - * + * * def copy(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice mslice * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS @@ -11855,7 +11855,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20 /* "View.MemoryView":643 * return memoryview_copy_from_slice(self, &mslice) - * + * * def copy_fortran(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice src, dst * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS @@ -11888,14 +11888,14 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22 * def copy_fortran(self): * cdef __Pyx_memviewslice src, dst * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS # <<<<<<<<<<<<<< - * + * * slice_copy(self, &src) */ __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_C_CONTIGUOUS)); /* "View.MemoryView":647 * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS - * + * * slice_copy(self, &src) # <<<<<<<<<<<<<< * dst = slice_copy_contig(&src, "fortran", self.view.ndim, * self.view.itemsize, @@ -11903,7 +11903,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22 __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_src)); /* "View.MemoryView":648 - * + * * slice_copy(self, &src) * dst = slice_copy_contig(&src, "fortran", self.view.ndim, # <<<<<<<<<<<<<< * self.view.itemsize, @@ -11914,10 +11914,10 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22 /* "View.MemoryView":653 * self.dtype_is_object) - * + * * return memoryview_copy_from_slice(self, &dst) # <<<<<<<<<<<<<< - * - * + * + * */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_dst)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 653, __pyx_L1_error) @@ -11928,7 +11928,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22 /* "View.MemoryView":643 * return memoryview_copy_from_slice(self, &mslice) - * + * * def copy_fortran(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice src, dst * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS @@ -12053,7 +12053,7 @@ static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED st } /* "View.MemoryView":657 - * + * * @cname('__pyx_memoryview_new') * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): # <<<<<<<<<<<<<< * cdef memoryview result = memoryview(o, flags, dtype_is_object) @@ -12102,7 +12102,7 @@ static PyObject *__pyx_memoryview_new(PyObject *__pyx_v_o, int __pyx_v_flags, in * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo # <<<<<<<<<<<<<< * return result - * + * */ __pyx_v_result->typeinfo = __pyx_v_typeinfo; @@ -12110,7 +12110,7 @@ static PyObject *__pyx_memoryview_new(PyObject *__pyx_v_o, int __pyx_v_flags, in * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo * return result # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_check') */ __Pyx_XDECREF(__pyx_r); @@ -12119,7 +12119,7 @@ static PyObject *__pyx_memoryview_new(PyObject *__pyx_v_o, int __pyx_v_flags, in goto __pyx_L0; /* "View.MemoryView":657 - * + * * @cname('__pyx_memoryview_new') * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): # <<<<<<<<<<<<<< * cdef memoryview result = memoryview(o, flags, dtype_is_object) @@ -12141,11 +12141,11 @@ static PyObject *__pyx_memoryview_new(PyObject *__pyx_v_o, int __pyx_v_flags, in } /* "View.MemoryView":663 - * + * * @cname('__pyx_memoryview_check') * cdef inline bint memoryview_check(object o): # <<<<<<<<<<<<<< * return isinstance(o, memoryview) - * + * */ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *__pyx_v_o) { @@ -12158,19 +12158,19 @@ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *__pyx_v_o) { * @cname('__pyx_memoryview_check') * cdef inline bint memoryview_check(object o): * return isinstance(o, memoryview) # <<<<<<<<<<<<<< - * + * * cdef tuple _unellipsify(object index, int ndim): */ - __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_o, __pyx_memoryview_type); + __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_o, __pyx_memoryview_type); __pyx_r = __pyx_t_1; goto __pyx_L0; /* "View.MemoryView":663 - * + * * @cname('__pyx_memoryview_check') * cdef inline bint memoryview_check(object o): # <<<<<<<<<<<<<< * return isinstance(o, memoryview) - * + * */ /* function exit code */ @@ -12181,7 +12181,7 @@ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *__pyx_v_o) { /* "View.MemoryView":666 * return isinstance(o, memoryview) - * + * * cdef tuple _unellipsify(object index, int ndim): # <<<<<<<<<<<<<< * """ * Replace all ellipses with full slices and fill incomplete indices with @@ -12217,7 +12217,7 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { * tup = (index,) * else: */ - __pyx_t_1 = PyTuple_Check(__pyx_v_index); + __pyx_t_1 = PyTuple_Check(__pyx_v_index); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { @@ -12250,7 +12250,7 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { * tup = (index,) * else: * tup = index # <<<<<<<<<<<<<< - * + * * result = [] */ /*else*/ { @@ -12261,7 +12261,7 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { /* "View.MemoryView":676 * tup = index - * + * * result = [] # <<<<<<<<<<<<<< * have_slices = False * seen_ellipsis = False @@ -12272,7 +12272,7 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { __pyx_t_3 = 0; /* "View.MemoryView":677 - * + * * result = [] * have_slices = False # <<<<<<<<<<<<<< * seen_ellipsis = False @@ -12443,10 +12443,10 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { * else: * if not isinstance(item, slice) and not PyIndex_Check(item): # <<<<<<<<<<<<<< * raise TypeError("Cannot index with type '%s'" % type(item)) - * + * */ /*else*/ { - __pyx_t_2 = PySlice_Check(__pyx_v_item); + __pyx_t_2 = PySlice_Check(__pyx_v_item); __pyx_t_10 = ((!(__pyx_t_2 != 0)) != 0); if (__pyx_t_10) { } else { @@ -12462,7 +12462,7 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { * else: * if not isinstance(item, slice) and not PyIndex_Check(item): * raise TypeError("Cannot index with type '%s'" % type(item)) # <<<<<<<<<<<<<< - * + * * have_slices = have_slices or isinstance(item, slice) */ __pyx_t_7 = __Pyx_PyString_FormatSafe(__pyx_kp_s_Cannot_index_with_type_s, ((PyObject *)Py_TYPE(__pyx_v_item))); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 689, __pyx_L1_error) @@ -12479,16 +12479,16 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { * else: * if not isinstance(item, slice) and not PyIndex_Check(item): # <<<<<<<<<<<<<< * raise TypeError("Cannot index with type '%s'" % type(item)) - * + * */ } /* "View.MemoryView":691 * raise TypeError("Cannot index with type '%s'" % type(item)) - * + * * have_slices = have_slices or isinstance(item, slice) # <<<<<<<<<<<<<< * result.append(item) - * + * */ __pyx_t_10 = (__pyx_v_have_slices != 0); if (!__pyx_t_10) { @@ -12496,17 +12496,17 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { __pyx_t_1 = __pyx_t_10; goto __pyx_L11_bool_binop_done; } - __pyx_t_10 = PySlice_Check(__pyx_v_item); + __pyx_t_10 = PySlice_Check(__pyx_v_item); __pyx_t_2 = (__pyx_t_10 != 0); __pyx_t_1 = __pyx_t_2; __pyx_L11_bool_binop_done:; __pyx_v_have_slices = __pyx_t_1; /* "View.MemoryView":692 - * + * * have_slices = have_slices or isinstance(item, slice) * result.append(item) # <<<<<<<<<<<<<< - * + * * nslices = ndim - len(result) */ __pyx_t_9 = __Pyx_PyList_Append(__pyx_v_result, __pyx_v_item); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 692, __pyx_L1_error) @@ -12526,7 +12526,7 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { /* "View.MemoryView":694 * result.append(item) - * + * * nslices = ndim - len(result) # <<<<<<<<<<<<<< * if nslices: * result.extend([slice(None)] * nslices) @@ -12535,11 +12535,11 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { __pyx_v_nslices = (__pyx_v_ndim - __pyx_t_5); /* "View.MemoryView":695 - * + * * nslices = ndim - len(result) * if nslices: # <<<<<<<<<<<<<< * result.extend([slice(None)] * nslices) - * + * */ __pyx_t_1 = (__pyx_v_nslices != 0); if (__pyx_t_1) { @@ -12548,7 +12548,7 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { * nslices = ndim - len(result) * if nslices: * result.extend([slice(None)] * nslices) # <<<<<<<<<<<<<< - * + * * return have_slices or nslices, tuple(result) */ __pyx_t_3 = PyList_New(1 * ((__pyx_v_nslices<0) ? 0:__pyx_v_nslices)); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 696, __pyx_L1_error) @@ -12564,19 +12564,19 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":695 - * + * * nslices = ndim - len(result) * if nslices: # <<<<<<<<<<<<<< * result.extend([slice(None)] * nslices) - * + * */ } /* "View.MemoryView":698 * result.extend([slice(None)] * nslices) - * + * * return have_slices or nslices, tuple(result) # <<<<<<<<<<<<<< - * + * * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): */ __Pyx_XDECREF(__pyx_r); @@ -12609,7 +12609,7 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { /* "View.MemoryView":666 * return isinstance(o, memoryview) - * + * * cdef tuple _unellipsify(object index, int ndim): # <<<<<<<<<<<<<< * """ * Replace all ellipses with full slices and fill incomplete indices with @@ -12635,7 +12635,7 @@ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { /* "View.MemoryView":700 * return have_slices or nslices, tuple(result) - * + * * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): # <<<<<<<<<<<<<< * for suboffset in suboffsets[:ndim]: * if suboffset >= 0: @@ -12653,7 +12653,7 @@ static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets, int __ __Pyx_RefNannySetupContext("assert_direct_dimensions", 0); /* "View.MemoryView":701 - * + * * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): * for suboffset in suboffsets[:ndim]: # <<<<<<<<<<<<<< * if suboffset >= 0: @@ -12669,7 +12669,7 @@ static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets, int __ * for suboffset in suboffsets[:ndim]: * if suboffset >= 0: # <<<<<<<<<<<<<< * raise ValueError("Indirect dimensions not supported") - * + * */ __pyx_t_4 = ((__pyx_v_suboffset >= 0) != 0); if (unlikely(__pyx_t_4)) { @@ -12678,8 +12678,8 @@ static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets, int __ * for suboffset in suboffsets[:ndim]: * if suboffset >= 0: * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_5 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__24, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 703, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); @@ -12692,14 +12692,14 @@ static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets, int __ * for suboffset in suboffsets[:ndim]: * if suboffset >= 0: # <<<<<<<<<<<<<< * raise ValueError("Indirect dimensions not supported") - * + * */ } } /* "View.MemoryView":700 * return have_slices or nslices, tuple(result) - * + * * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): # <<<<<<<<<<<<<< * for suboffset in suboffsets[:ndim]: * if suboffset >= 0: @@ -12719,7 +12719,7 @@ static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets, int __ } /* "View.MemoryView":710 - * + * * @cname('__pyx_memview_slice') * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< * cdef int new_ndim = 0, suboffset_dim = -1, dim @@ -12770,19 +12770,19 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ __pyx_v_suboffset_dim = -1; /* "View.MemoryView":718 - * - * + * + * * memset(&dst, 0, sizeof(dst)) # <<<<<<<<<<<<<< - * + * * cdef _memoryviewslice memviewsliceobj */ (void)(memset((&__pyx_v_dst), 0, (sizeof(__pyx_v_dst)))); /* "View.MemoryView":722 * cdef _memoryviewslice memviewsliceobj - * + * * assert memview.view.ndim > 0 # <<<<<<<<<<<<<< - * + * * if isinstance(memview, _memoryviewslice): */ #ifndef CYTHON_WITHOUT_ASSERTIONS @@ -12796,17 +12796,17 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ /* "View.MemoryView":724 * assert memview.view.ndim > 0 - * + * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * memviewsliceobj = memview * p_src = &memviewsliceobj.from_slice */ - __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":725 - * + * * if isinstance(memview, _memoryviewslice): * memviewsliceobj = memview # <<<<<<<<<<<<<< * p_src = &memviewsliceobj.from_slice @@ -12829,7 +12829,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ /* "View.MemoryView":724 * assert memview.view.ndim > 0 - * + * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * memviewsliceobj = memview * p_src = &memviewsliceobj.from_slice @@ -12842,7 +12842,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ * else: * slice_copy(memview, &src) # <<<<<<<<<<<<<< * p_src = &src - * + * */ /*else*/ { __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_src)); @@ -12851,36 +12851,36 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ * else: * slice_copy(memview, &src) * p_src = &src # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_v_p_src = (&__pyx_v_src); } __pyx_L3:; /* "View.MemoryView":735 - * - * + * + * * dst.memview = p_src.memview # <<<<<<<<<<<<<< * dst.data = p_src.data - * + * */ __pyx_t_4 = __pyx_v_p_src->memview; __pyx_v_dst.memview = __pyx_t_4; /* "View.MemoryView":736 - * + * * dst.memview = p_src.memview * dst.data = p_src.data # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_5 = __pyx_v_p_src->data; __pyx_v_dst.data = __pyx_t_5; /* "View.MemoryView":741 - * - * + * + * * cdef __Pyx_memviewslice *p_dst = &dst # <<<<<<<<<<<<<< * cdef int *p_suboffset_dim = &suboffset_dim * cdef Py_ssize_t start, stop, step @@ -12888,7 +12888,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ __pyx_v_p_dst = (&__pyx_v_dst); /* "View.MemoryView":742 - * + * * cdef __Pyx_memviewslice *p_dst = &dst * cdef int *p_suboffset_dim = &suboffset_dim # <<<<<<<<<<<<<< * cdef Py_ssize_t start, stop, step @@ -12898,7 +12898,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ /* "View.MemoryView":746 * cdef bint have_start, have_stop, have_step - * + * * for dim, index in enumerate(indices): # <<<<<<<<<<<<<< * if PyIndex_Check(index): * slice_memviewslice( @@ -12949,7 +12949,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ __pyx_t_6 = (__pyx_t_6 + 1); /* "View.MemoryView":747 - * + * * for dim, index in enumerate(indices): * if PyIndex_Check(index): # <<<<<<<<<<<<<< * slice_memviewslice( @@ -12977,7 +12977,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_t_10, 0, 0, 0, 0, 0, 0); if (unlikely(__pyx_t_11 == ((int)-1))) __PYX_ERR(2, 748, __pyx_L1_error) /* "View.MemoryView":747 - * + * * for dim, index in enumerate(indices): * if PyIndex_Check(index): # <<<<<<<<<<<<<< * slice_memviewslice( @@ -13071,7 +13071,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ * start = index.start or 0 * stop = index.stop or 0 # <<<<<<<<<<<<<< * step = index.step or 0 - * + * */ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_stop); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 761, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_9); @@ -13092,7 +13092,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ * start = index.start or 0 * stop = index.stop or 0 * step = index.step or 0 # <<<<<<<<<<<<<< - * + * * have_start = index.start is not None */ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_step); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 762, __pyx_L1_error) @@ -13112,7 +13112,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ /* "View.MemoryView":764 * step = index.step or 0 - * + * * have_start = index.start is not None # <<<<<<<<<<<<<< * have_stop = index.stop is not None * have_step = index.step is not None @@ -13124,11 +13124,11 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ __pyx_v_have_start = __pyx_t_1; /* "View.MemoryView":765 - * + * * have_start = index.start is not None * have_stop = index.stop is not None # <<<<<<<<<<<<<< * have_step = index.step is not None - * + * */ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_stop); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 765, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_9); @@ -13140,7 +13140,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ * have_start = index.start is not None * have_stop = index.stop is not None * have_step = index.step is not None # <<<<<<<<<<<<<< - * + * * slice_memviewslice( */ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_step); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 766, __pyx_L1_error) @@ -13151,7 +13151,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ /* "View.MemoryView":768 * have_step = index.step is not None - * + * * slice_memviewslice( # <<<<<<<<<<<<<< * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], * dim, new_ndim, p_suboffset_dim, @@ -13162,7 +13162,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ * have_start, have_stop, have_step, * True) * new_ndim += 1 # <<<<<<<<<<<<<< - * + * * if isinstance(memview, _memoryviewslice): */ __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); @@ -13171,7 +13171,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ /* "View.MemoryView":746 * cdef bint have_start, have_stop, have_step - * + * * for dim, index in enumerate(indices): # <<<<<<<<<<<<<< * if PyIndex_Check(index): * slice_memviewslice( @@ -13181,17 +13181,17 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ /* "View.MemoryView":776 * new_ndim += 1 - * + * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * return memoryview_fromslice(dst, new_ndim, * memviewsliceobj.to_object_func, */ - __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":777 - * + * * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< * memviewsliceobj.to_object_func, @@ -13218,7 +13218,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(2, 779, __pyx_L1_error) } /* "View.MemoryView":777 - * + * * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< * memviewsliceobj.to_object_func, @@ -13233,7 +13233,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ /* "View.MemoryView":776 * new_ndim += 1 - * + * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * return memoryview_fromslice(dst, new_ndim, * memviewsliceobj.to_object_func, @@ -13245,7 +13245,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< * memview.dtype_is_object) - * + * */ /*else*/ { __Pyx_XDECREF(((PyObject *)__pyx_r)); @@ -13254,8 +13254,8 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, * memview.dtype_is_object) # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 782, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); @@ -13265,7 +13265,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< * memview.dtype_is_object) - * + * */ if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(2, 782, __pyx_L1_error) __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3); @@ -13274,7 +13274,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ } /* "View.MemoryView":710 - * + * * @cname('__pyx_memview_slice') * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< * cdef int new_ndim = 0, suboffset_dim = -1, dim @@ -13296,7 +13296,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ } /* "View.MemoryView":807 - * + * * @cname('__pyx_memoryview_slice_memviewslice') * cdef int slice_memviewslice( # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, @@ -13313,9 +13313,9 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":827 * cdef bint negative_step - * + * * if not is_slice: # <<<<<<<<<<<<<< - * + * * if start < 0: */ __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); @@ -13323,7 +13323,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":829 * if not is_slice: - * + * * if start < 0: # <<<<<<<<<<<<<< * start += shape * if not 0 <= start < shape: @@ -13332,7 +13332,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, if (__pyx_t_1) { /* "View.MemoryView":830 - * + * * if start < 0: * start += shape # <<<<<<<<<<<<<< * if not 0 <= start < shape: @@ -13342,7 +13342,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":829 * if not is_slice: - * + * * if start < 0: # <<<<<<<<<<<<<< * start += shape * if not 0 <= start < shape: @@ -13368,7 +13368,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< * else: - * + * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 832, __pyx_L1_error) @@ -13383,9 +13383,9 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":827 * cdef bint negative_step - * + * * if not is_slice: # <<<<<<<<<<<<<< - * + * * if start < 0: */ goto __pyx_L3; @@ -13393,9 +13393,9 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":835 * else: - * + * * negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<< - * + * * if have_step and step == 0: */ /*else*/ { @@ -13412,10 +13412,10 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":837 * negative_step = have_step != 0 and step < 0 - * + * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) - * + * */ __pyx_t_1 = (__pyx_v_have_step != 0); if (__pyx_t_1) { @@ -13429,26 +13429,26 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, if (__pyx_t_2) { /* "View.MemoryView":838 - * + * * if have_step and step == 0: * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 838, __pyx_L1_error) /* "View.MemoryView":837 * negative_step = have_step != 0 and step < 0 - * + * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) - * + * */ } /* "View.MemoryView":841 - * - * + * + * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape @@ -13457,7 +13457,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, if (__pyx_t_2) { /* "View.MemoryView":842 - * + * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape @@ -13504,7 +13504,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } /* "View.MemoryView":842 - * + * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape @@ -13575,8 +13575,8 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_L12:; /* "View.MemoryView":841 - * - * + * + * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape @@ -13618,7 +13618,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, * start = shape - 1 * else: * start = 0 # <<<<<<<<<<<<<< - * + * * if have_stop: */ /*else*/ { @@ -13630,7 +13630,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":857 * start = 0 - * + * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape @@ -13639,7 +13639,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, if (__pyx_t_2) { /* "View.MemoryView":858 - * + * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape @@ -13686,7 +13686,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } /* "View.MemoryView":858 - * + * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape @@ -13726,7 +13726,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":857 * start = 0 - * + * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape @@ -13768,7 +13768,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, * stop = -1 * else: * stop = shape # <<<<<<<<<<<<<< - * + * * if not have_step: */ /*else*/ { @@ -13780,100 +13780,100 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":870 * stop = shape - * + * * if not have_step: # <<<<<<<<<<<<<< * step = 1 - * + * */ __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":871 - * + * * if not have_step: * step = 1 # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_v_step = 1; /* "View.MemoryView":870 * stop = shape - * + * * if not have_step: # <<<<<<<<<<<<<< * step = 1 - * + * */ } /* "View.MemoryView":875 - * + * * with cython.cdivision(True): * new_shape = (stop - start) // step # <<<<<<<<<<<<<< - * + * * if (stop - start) - step * new_shape: */ __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); /* "View.MemoryView":877 * new_shape = (stop - start) // step - * + * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 - * + * */ __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); if (__pyx_t_2) { /* "View.MemoryView":878 - * + * * if (stop - start) - step * new_shape: * new_shape += 1 # <<<<<<<<<<<<<< - * + * * if new_shape < 0: */ __pyx_v_new_shape = (__pyx_v_new_shape + 1); /* "View.MemoryView":877 * new_shape = (stop - start) // step - * + * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 - * + * */ } /* "View.MemoryView":880 * new_shape += 1 - * + * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 - * + * */ __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":881 - * + * * if new_shape < 0: * new_shape = 0 # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_v_new_shape = 0; /* "View.MemoryView":880 * new_shape += 1 - * + * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 - * + * */ } /* "View.MemoryView":884 - * - * + * + * * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset @@ -13881,11 +13881,11 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); /* "View.MemoryView":885 - * + * * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<< * dst.suboffsets[new_ndim] = suboffset - * + * */ (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape; @@ -13893,16 +13893,16 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<< - * - * + * + * */ (__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset; } __pyx_L3:; /* "View.MemoryView":889 - * - * + * + * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< * dst.data += start * stride * else: @@ -13911,7 +13911,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, if (__pyx_t_2) { /* "View.MemoryView":890 - * + * * if suboffset_dim[0] < 0: * dst.data += start * stride # <<<<<<<<<<<<<< * else: @@ -13920,8 +13920,8 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride)); /* "View.MemoryView":889 - * - * + * + * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< * dst.data += start * stride * else: @@ -13933,7 +13933,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, * dst.data += start * stride * else: * dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<< - * + * * if suboffset >= 0: */ /*else*/ { @@ -13944,7 +13944,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":894 * dst.suboffsets[suboffset_dim[0]] += start * stride - * + * * if suboffset >= 0: # <<<<<<<<<<<<<< * if not is_slice: * if new_ndim == 0: @@ -13953,7 +13953,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, if (__pyx_t_2) { /* "View.MemoryView":895 - * + * * if suboffset >= 0: * if not is_slice: # <<<<<<<<<<<<<< * if new_ndim == 0: @@ -14012,7 +14012,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_L26:; /* "View.MemoryView":895 - * + * * if suboffset >= 0: * if not is_slice: # <<<<<<<<<<<<<< * if new_ndim == 0: @@ -14025,7 +14025,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, * "must be indexed and not sliced", dim) * else: * suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<< - * + * * return 0 */ /*else*/ { @@ -14035,7 +14035,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":894 * dst.suboffsets[suboffset_dim[0]] += start * stride - * + * * if suboffset >= 0: # <<<<<<<<<<<<<< * if not is_slice: * if new_ndim == 0: @@ -14044,16 +14044,16 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, /* "View.MemoryView":904 * suboffset_dim[0] = new_ndim - * + * * return 0 # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_r = 0; goto __pyx_L0; /* "View.MemoryView":807 - * + * * @cname('__pyx_memoryview_slice_memviewslice') * cdef int slice_memviewslice( # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, @@ -14077,7 +14077,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } /* "View.MemoryView":910 - * + * * @cname('__pyx_pybuffer_index') * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< * Py_ssize_t dim) except NULL: @@ -14112,14 +14112,14 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P * cdef Py_ssize_t shape, stride, suboffset = -1 * cdef Py_ssize_t itemsize = view.itemsize # <<<<<<<<<<<<<< * cdef char *resultp - * + * */ __pyx_t_1 = __pyx_v_view->itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":916 * cdef char *resultp - * + * * if view.ndim == 0: # <<<<<<<<<<<<<< * shape = view.len / itemsize * stride = itemsize @@ -14128,7 +14128,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P if (__pyx_t_2) { /* "View.MemoryView":917 - * + * * if view.ndim == 0: * shape = view.len / itemsize # <<<<<<<<<<<<<< * stride = itemsize @@ -14155,7 +14155,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P /* "View.MemoryView":916 * cdef char *resultp - * + * * if view.ndim == 0: # <<<<<<<<<<<<<< * shape = view.len / itemsize * stride = itemsize @@ -14187,7 +14187,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P * stride = view.strides[dim] * if view.suboffsets != NULL: # <<<<<<<<<<<<<< * suboffset = view.suboffsets[dim] - * + * */ __pyx_t_2 = ((__pyx_v_view->suboffsets != NULL) != 0); if (__pyx_t_2) { @@ -14196,7 +14196,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P * stride = view.strides[dim] * if view.suboffsets != NULL: * suboffset = view.suboffsets[dim] # <<<<<<<<<<<<<< - * + * * if index < 0: */ __pyx_v_suboffset = (__pyx_v_view->suboffsets[__pyx_v_dim]); @@ -14206,7 +14206,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P * stride = view.strides[dim] * if view.suboffsets != NULL: # <<<<<<<<<<<<<< * suboffset = view.suboffsets[dim] - * + * */ } } @@ -14214,7 +14214,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P /* "View.MemoryView":925 * suboffset = view.suboffsets[dim] - * + * * if index < 0: # <<<<<<<<<<<<<< * index += view.shape[dim] * if index < 0: @@ -14223,7 +14223,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P if (__pyx_t_2) { /* "View.MemoryView":926 - * + * * if index < 0: * index += view.shape[dim] # <<<<<<<<<<<<<< * if index < 0: @@ -14236,7 +14236,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P * index += view.shape[dim] * if index < 0: # <<<<<<<<<<<<<< * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) - * + * */ __pyx_t_2 = ((__pyx_v_index < 0) != 0); if (unlikely(__pyx_t_2)) { @@ -14245,7 +14245,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P * index += view.shape[dim] * if index < 0: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< - * + * * if index >= shape: */ __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_dim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 928, __pyx_L1_error) @@ -14265,13 +14265,13 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P * index += view.shape[dim] * if index < 0: # <<<<<<<<<<<<<< * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) - * + * */ } /* "View.MemoryView":925 * suboffset = view.suboffsets[dim] - * + * * if index < 0: # <<<<<<<<<<<<<< * index += view.shape[dim] * if index < 0: @@ -14280,19 +14280,19 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P /* "View.MemoryView":930 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) - * + * * if index >= shape: # <<<<<<<<<<<<<< * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) - * + * */ __pyx_t_2 = ((__pyx_v_index >= __pyx_v_shape) != 0); if (unlikely(__pyx_t_2)) { /* "View.MemoryView":931 - * + * * if index >= shape: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< - * + * * resultp = bufp + index * stride */ __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_dim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 931, __pyx_L1_error) @@ -14309,16 +14309,16 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P /* "View.MemoryView":930 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) - * + * * if index >= shape: # <<<<<<<<<<<<<< * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) - * + * */ } /* "View.MemoryView":933 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) - * + * * resultp = bufp + index * stride # <<<<<<<<<<<<<< * if suboffset >= 0: * resultp = ( resultp)[0] + suboffset @@ -14326,11 +14326,11 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P __pyx_v_resultp = (__pyx_v_bufp + (__pyx_v_index * __pyx_v_stride)); /* "View.MemoryView":934 - * + * * resultp = bufp + index * stride * if suboffset >= 0: # <<<<<<<<<<<<<< * resultp = ( resultp)[0] + suboffset - * + * */ __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { @@ -14339,32 +14339,32 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P * resultp = bufp + index * stride * if suboffset >= 0: * resultp = ( resultp)[0] + suboffset # <<<<<<<<<<<<<< - * + * * return resultp */ __pyx_v_resultp = ((((char **)__pyx_v_resultp)[0]) + __pyx_v_suboffset); /* "View.MemoryView":934 - * + * * resultp = bufp + index * stride * if suboffset >= 0: # <<<<<<<<<<<<<< * resultp = ( resultp)[0] + suboffset - * + * */ } /* "View.MemoryView":937 * resultp = ( resultp)[0] + suboffset - * + * * return resultp # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_r = __pyx_v_resultp; goto __pyx_L0; /* "View.MemoryView":910 - * + * * @cname('__pyx_pybuffer_index') * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< * Py_ssize_t dim) except NULL: @@ -14383,11 +14383,11 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P } /* "View.MemoryView":943 - * + * * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< * cdef int ndim = memslice.memview.view.ndim - * + * */ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { @@ -14411,7 +14411,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: * cdef int ndim = memslice.memview.view.ndim # <<<<<<<<<<<<<< - * + * * cdef Py_ssize_t *shape = memslice.shape */ __pyx_t_1 = __pyx_v_memslice->memview->view.ndim; @@ -14419,26 +14419,26 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { /* "View.MemoryView":946 * cdef int ndim = memslice.memview.view.ndim - * + * * cdef Py_ssize_t *shape = memslice.shape # <<<<<<<<<<<<<< * cdef Py_ssize_t *strides = memslice.strides - * + * */ __pyx_t_2 = __pyx_v_memslice->shape; __pyx_v_shape = __pyx_t_2; /* "View.MemoryView":947 - * + * * cdef Py_ssize_t *shape = memslice.shape * cdef Py_ssize_t *strides = memslice.strides # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_2 = __pyx_v_memslice->strides; __pyx_v_strides = __pyx_t_2; /* "View.MemoryView":951 - * + * * cdef int i, j * for i in range(ndim / 2): # <<<<<<<<<<<<<< * j = ndim - 1 - i @@ -14463,7 +14463,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] # <<<<<<<<<<<<<< * shape[i], shape[j] = shape[j], shape[i] - * + * */ __pyx_t_5 = (__pyx_v_strides[__pyx_v_j]); __pyx_t_6 = (__pyx_v_strides[__pyx_v_i]); @@ -14474,7 +14474,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] * shape[i], shape[j] = shape[j], shape[i] # <<<<<<<<<<<<<< - * + * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: */ __pyx_t_6 = (__pyx_v_shape[__pyx_v_j]); @@ -14484,10 +14484,10 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { /* "View.MemoryView":956 * shape[i], shape[j] = shape[j], shape[i] - * + * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") - * + * */ __pyx_t_8 = (((__pyx_v_memslice->suboffsets[__pyx_v_i]) >= 0) != 0); if (!__pyx_t_8) { @@ -14501,40 +14501,40 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { if (__pyx_t_7) { /* "View.MemoryView":957 - * + * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") # <<<<<<<<<<<<<< - * + * * return 1 */ __pyx_t_9 = __pyx_memoryview_err(__pyx_builtin_ValueError, ((char *)"Cannot transpose memoryview with indirect dimensions")); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 957, __pyx_L1_error) /* "View.MemoryView":956 * shape[i], shape[j] = shape[j], shape[i] - * + * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") - * + * */ } } /* "View.MemoryView":959 * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") - * + * * return 1 # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_r = 1; goto __pyx_L0; /* "View.MemoryView":943 - * + * * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< * cdef int ndim = memslice.memview.view.ndim - * + * */ /* function exit code */ @@ -14555,10 +14555,10 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { /* "View.MemoryView":976 * cdef int (*to_dtype_func)(char *, object) except 0 - * + * * def __dealloc__(self): # <<<<<<<<<<<<<< * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) - * + * */ /* Python wrapper */ @@ -14577,20 +14577,20 @@ static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewsl __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":977 - * + * * def __dealloc__(self): * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) # <<<<<<<<<<<<<< - * + * * cdef convert_item_to_object(self, char *itemp): */ __PYX_XDEC_MEMVIEW((&__pyx_v_self->from_slice), 1); /* "View.MemoryView":976 * cdef int (*to_dtype_func)(char *, object) except 0 - * + * * def __dealloc__(self): # <<<<<<<<<<<<<< * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) - * + * */ /* function exit code */ @@ -14599,7 +14599,7 @@ static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewsl /* "View.MemoryView":979 * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) - * + * * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< * if self.to_object_func != NULL: * return self.to_object_func(itemp) @@ -14613,7 +14613,7 @@ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memor __Pyx_RefNannySetupContext("convert_item_to_object", 0); /* "View.MemoryView":980 - * + * * cdef convert_item_to_object(self, char *itemp): * if self.to_object_func != NULL: # <<<<<<<<<<<<<< * return self.to_object_func(itemp) @@ -14637,7 +14637,7 @@ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memor goto __pyx_L0; /* "View.MemoryView":980 - * + * * cdef convert_item_to_object(self, char *itemp): * if self.to_object_func != NULL: # <<<<<<<<<<<<<< * return self.to_object_func(itemp) @@ -14649,7 +14649,7 @@ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memor * return self.to_object_func(itemp) * else: * return memoryview.convert_item_to_object(self, itemp) # <<<<<<<<<<<<<< - * + * * cdef assign_item_from_object(self, char *itemp, object value): */ /*else*/ { @@ -14663,7 +14663,7 @@ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memor /* "View.MemoryView":979 * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) - * + * * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< * if self.to_object_func != NULL: * return self.to_object_func(itemp) @@ -14682,7 +14682,7 @@ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memor /* "View.MemoryView":985 * return memoryview.convert_item_to_object(self, itemp) - * + * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< * if self.to_dtype_func != NULL: * self.to_dtype_func(itemp, value) @@ -14697,7 +14697,7 @@ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memo __Pyx_RefNannySetupContext("assign_item_from_object", 0); /* "View.MemoryView":986 - * + * * cdef assign_item_from_object(self, char *itemp, object value): * if self.to_dtype_func != NULL: # <<<<<<<<<<<<<< * self.to_dtype_func(itemp, value) @@ -14716,7 +14716,7 @@ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memo __pyx_t_2 = __pyx_v_self->to_dtype_func(__pyx_v_itemp, __pyx_v_value); if (unlikely(__pyx_t_2 == ((int)0))) __PYX_ERR(2, 987, __pyx_L1_error) /* "View.MemoryView":986 - * + * * cdef assign_item_from_object(self, char *itemp, object value): * if self.to_dtype_func != NULL: # <<<<<<<<<<<<<< * self.to_dtype_func(itemp, value) @@ -14729,7 +14729,7 @@ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memo * self.to_dtype_func(itemp, value) * else: * memoryview.assign_item_from_object(self, itemp, value) # <<<<<<<<<<<<<< - * + * * @property */ /*else*/ { @@ -14741,7 +14741,7 @@ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memo /* "View.MemoryView":985 * return memoryview.convert_item_to_object(self, itemp) - * + * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< * if self.to_dtype_func != NULL: * self.to_dtype_func(itemp, value) @@ -14761,11 +14761,11 @@ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memo } /* "View.MemoryView":992 - * + * * @property * def base(self): # <<<<<<<<<<<<<< * return self.from_object - * + * */ /* Python wrapper */ @@ -14790,7 +14790,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__ * @property * def base(self): * return self.from_object # <<<<<<<<<<<<<< - * + * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_XDECREF(__pyx_r); @@ -14799,11 +14799,11 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__ goto __pyx_L0; /* "View.MemoryView":992 - * + * * @property * def base(self): # <<<<<<<<<<<<<< * return self.from_object - * + * */ /* function exit code */ @@ -14921,7 +14921,7 @@ static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUS } /* "View.MemoryView":999 - * + * * @cname('__pyx_memoryview_fromslice') * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< * int ndim, @@ -14947,20 +14947,20 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl /* "View.MemoryView":1007 * cdef _memoryviewslice result - * + * * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< * return None - * + * */ __pyx_t_1 = ((((PyObject *)__pyx_v_memviewslice.memview) == Py_None) != 0); if (__pyx_t_1) { /* "View.MemoryView":1008 - * + * * if memviewslice.memview == Py_None: * return None # <<<<<<<<<<<<<< - * - * + * + * */ __Pyx_XDECREF(__pyx_r); __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -14968,18 +14968,18 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl /* "View.MemoryView":1007 * cdef _memoryviewslice result - * + * * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< * return None - * + * */ } /* "View.MemoryView":1013 - * - * + * + * * result = _memoryviewslice(None, 0, dtype_is_object) # <<<<<<<<<<<<<< - * + * * result.from_slice = memviewslice */ __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1013, __pyx_L1_error) @@ -15003,28 +15003,28 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl /* "View.MemoryView":1015 * result = _memoryviewslice(None, 0, dtype_is_object) - * + * * result.from_slice = memviewslice # <<<<<<<<<<<<<< * __PYX_INC_MEMVIEW(&memviewslice, 1) - * + * */ __pyx_v_result->from_slice = __pyx_v_memviewslice; /* "View.MemoryView":1016 - * + * * result.from_slice = memviewslice * __PYX_INC_MEMVIEW(&memviewslice, 1) # <<<<<<<<<<<<<< - * + * * result.from_object = ( memviewslice.memview).base */ __PYX_INC_MEMVIEW((&__pyx_v_memviewslice), 1); /* "View.MemoryView":1018 * __PYX_INC_MEMVIEW(&memviewslice, 1) - * + * * result.from_object = ( memviewslice.memview).base # <<<<<<<<<<<<<< * result.typeinfo = memviewslice.memview.typeinfo - * + * */ __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_memviewslice.memview), __pyx_n_s_base); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1018, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); @@ -15035,10 +15035,10 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_2 = 0; /* "View.MemoryView":1019 - * + * * result.from_object = ( memviewslice.memview).base * result.typeinfo = memviewslice.memview.typeinfo # <<<<<<<<<<<<<< - * + * * result.view = memviewslice.memview.view */ __pyx_t_4 = __pyx_v_memviewslice.memview->typeinfo; @@ -15046,7 +15046,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl /* "View.MemoryView":1021 * result.typeinfo = memviewslice.memview.typeinfo - * + * * result.view = memviewslice.memview.view # <<<<<<<<<<<<<< * result.view.buf = memviewslice.data * result.view.ndim = ndim @@ -15055,7 +15055,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_v_result->__pyx_base.view = __pyx_t_5; /* "View.MemoryView":1022 - * + * * result.view = memviewslice.memview.view * result.view.buf = memviewslice.data # <<<<<<<<<<<<<< * result.view.ndim = ndim @@ -15077,7 +15077,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) - * + * */ ((Py_buffer *)(&__pyx_v_result->__pyx_base.view))->obj = Py_None; @@ -15085,14 +15085,14 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< - * + * * if (memviewslice.memview).flags & PyBUF_WRITABLE: */ Py_INCREF(Py_None); /* "View.MemoryView":1027 * Py_INCREF(Py_None) - * + * * if (memviewslice.memview).flags & PyBUF_WRITABLE: # <<<<<<<<<<<<<< * result.flags = PyBUF_RECORDS * else: @@ -15101,7 +15101,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl if (__pyx_t_1) { /* "View.MemoryView":1028 - * + * * if (memviewslice.memview).flags & PyBUF_WRITABLE: * result.flags = PyBUF_RECORDS # <<<<<<<<<<<<<< * else: @@ -15111,7 +15111,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl /* "View.MemoryView":1027 * Py_INCREF(Py_None) - * + * * if (memviewslice.memview).flags & PyBUF_WRITABLE: # <<<<<<<<<<<<<< * result.flags = PyBUF_RECORDS * else: @@ -15123,7 +15123,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl * result.flags = PyBUF_RECORDS * else: * result.flags = PyBUF_RECORDS_RO # <<<<<<<<<<<<<< - * + * * result.view.shape = result.from_slice.shape */ /*else*/ { @@ -15133,25 +15133,25 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl /* "View.MemoryView":1032 * result.flags = PyBUF_RECORDS_RO - * + * * result.view.shape = result.from_slice.shape # <<<<<<<<<<<<<< * result.view.strides = result.from_slice.strides - * + * */ __pyx_v_result->__pyx_base.view.shape = ((Py_ssize_t *)__pyx_v_result->from_slice.shape); /* "View.MemoryView":1033 - * + * * result.view.shape = result.from_slice.shape * result.view.strides = result.from_slice.strides # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_v_result->__pyx_base.view.strides = ((Py_ssize_t *)__pyx_v_result->from_slice.strides); /* "View.MemoryView":1036 - * - * + * + * * result.view.suboffsets = NULL # <<<<<<<<<<<<<< * for suboffset in result.from_slice.suboffsets[:ndim]: * if suboffset >= 0: @@ -15159,7 +15159,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_v_result->__pyx_base.view.suboffsets = NULL; /* "View.MemoryView":1037 - * + * * result.view.suboffsets = NULL * for suboffset in result.from_slice.suboffsets[:ndim]: # <<<<<<<<<<<<<< * if suboffset >= 0: @@ -15185,7 +15185,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl * if suboffset >= 0: * result.view.suboffsets = result.from_slice.suboffsets # <<<<<<<<<<<<<< * break - * + * */ __pyx_v_result->__pyx_base.view.suboffsets = ((Py_ssize_t *)__pyx_v_result->from_slice.suboffsets); @@ -15193,7 +15193,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl * if suboffset >= 0: * result.view.suboffsets = result.from_slice.suboffsets * break # <<<<<<<<<<<<<< - * + * * result.view.len = result.view.itemsize */ goto __pyx_L6_break; @@ -15211,7 +15211,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl /* "View.MemoryView":1042 * break - * + * * result.view.len = result.view.itemsize # <<<<<<<<<<<<<< * for length in result.view.shape[:ndim]: * result.view.len *= length @@ -15220,11 +15220,11 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_v_result->__pyx_base.view.len = __pyx_t_9; /* "View.MemoryView":1043 - * + * * result.view.len = result.view.itemsize * for length in result.view.shape[:ndim]: # <<<<<<<<<<<<<< * result.view.len *= length - * + * */ __pyx_t_7 = (__pyx_v_result->__pyx_base.view.shape + __pyx_v_ndim); for (__pyx_t_8 = __pyx_v_result->__pyx_base.view.shape; __pyx_t_8 < __pyx_t_7; __pyx_t_8++) { @@ -15238,7 +15238,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl * result.view.len = result.view.itemsize * for length in result.view.shape[:ndim]: * result.view.len *= length # <<<<<<<<<<<<<< - * + * * result.to_object_func = to_object_func */ __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_result->__pyx_base.view.len); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1044, __pyx_L1_error) @@ -15253,27 +15253,27 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl /* "View.MemoryView":1046 * result.view.len *= length - * + * * result.to_object_func = to_object_func # <<<<<<<<<<<<<< * result.to_dtype_func = to_dtype_func - * + * */ __pyx_v_result->to_object_func = __pyx_v_to_object_func; /* "View.MemoryView":1047 - * + * * result.to_object_func = to_object_func * result.to_dtype_func = to_dtype_func # <<<<<<<<<<<<<< - * + * * return result */ __pyx_v_result->to_dtype_func = __pyx_v_to_dtype_func; /* "View.MemoryView":1049 * result.to_dtype_func = to_dtype_func - * + * * return result # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_get_slice_from_memoryview') */ __Pyx_XDECREF(__pyx_r); @@ -15282,7 +15282,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl goto __pyx_L0; /* "View.MemoryView":999 - * + * * @cname('__pyx_memoryview_fromslice') * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< * int ndim, @@ -15304,7 +15304,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl } /* "View.MemoryView":1052 - * + * * @cname('__pyx_memoryview_get_slice_from_memoryview') * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< * __Pyx_memviewslice *mslice) except NULL: @@ -15327,7 +15327,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p * obj = memview * return &obj.from_slice */ - __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { @@ -15368,7 +15368,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p * else: * slice_copy(memview, mslice) # <<<<<<<<<<<<<< * return mslice - * + * */ /*else*/ { __pyx_memoryview_slice_copy(__pyx_v_memview, __pyx_v_mslice); @@ -15377,7 +15377,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p * else: * slice_copy(memview, mslice) * return mslice # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_slice_copy') */ __pyx_r = __pyx_v_mslice; @@ -15385,7 +15385,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p } /* "View.MemoryView":1052 - * + * * @cname('__pyx_memoryview_get_slice_from_memoryview') * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< * __Pyx_memviewslice *mslice) except NULL: @@ -15404,7 +15404,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p } /* "View.MemoryView":1063 - * + * * @cname('__pyx_memoryview_slice_copy') * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< * cdef int dim @@ -15426,7 +15426,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem /* "View.MemoryView":1067 * cdef (Py_ssize_t*) shape, strides, suboffsets - * + * * shape = memview.view.shape # <<<<<<<<<<<<<< * strides = memview.view.strides * suboffsets = memview.view.suboffsets @@ -15435,11 +15435,11 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem __pyx_v_shape = __pyx_t_1; /* "View.MemoryView":1068 - * + * * shape = memview.view.shape * strides = memview.view.strides # <<<<<<<<<<<<<< * suboffsets = memview.view.suboffsets - * + * */ __pyx_t_1 = __pyx_v_memview->view.strides; __pyx_v_strides = __pyx_t_1; @@ -15448,7 +15448,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem * shape = memview.view.shape * strides = memview.view.strides * suboffsets = memview.view.suboffsets # <<<<<<<<<<<<<< - * + * * dst.memview = <__pyx_memoryview *> memview */ __pyx_t_1 = __pyx_v_memview->view.suboffsets; @@ -15456,25 +15456,25 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem /* "View.MemoryView":1071 * suboffsets = memview.view.suboffsets - * + * * dst.memview = <__pyx_memoryview *> memview # <<<<<<<<<<<<<< * dst.data = memview.view.buf - * + * */ __pyx_v_dst->memview = ((struct __pyx_memoryview_obj *)__pyx_v_memview); /* "View.MemoryView":1072 - * + * * dst.memview = <__pyx_memoryview *> memview * dst.data = memview.view.buf # <<<<<<<<<<<<<< - * + * * for dim in range(memview.view.ndim): */ __pyx_v_dst->data = ((char *)__pyx_v_memview->view.buf); /* "View.MemoryView":1074 * dst.data = memview.view.buf - * + * * for dim in range(memview.view.ndim): # <<<<<<<<<<<<<< * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] @@ -15485,7 +15485,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem __pyx_v_dim = __pyx_t_4; /* "View.MemoryView":1075 - * + * * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] # <<<<<<<<<<<<<< * dst.strides[dim] = strides[dim] @@ -15498,7 +15498,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] # <<<<<<<<<<<<<< * dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1 - * + * */ (__pyx_v_dst->strides[__pyx_v_dim]) = (__pyx_v_strides[__pyx_v_dim]); @@ -15506,7 +15506,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] * dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1 # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_copy_object') */ if ((__pyx_v_suboffsets != 0)) { @@ -15518,7 +15518,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem } /* "View.MemoryView":1063 - * + * * @cname('__pyx_memoryview_slice_copy') * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< * cdef int dim @@ -15530,7 +15530,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem } /* "View.MemoryView":1080 - * + * * @cname('__pyx_memoryview_copy_object') * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< * "Create a new memoryview object" @@ -15549,7 +15549,7 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) # <<<<<<<<<<<<<< * return memoryview_copy_from_slice(memview, &memviewslice) - * + * */ __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_memviewslice)); @@ -15557,7 +15557,7 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) * return memoryview_copy_from_slice(memview, &memviewslice) # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_copy_object_from_slice') */ __Pyx_XDECREF(__pyx_r); @@ -15568,7 +15568,7 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx goto __pyx_L0; /* "View.MemoryView":1080 - * + * * @cname('__pyx_memoryview_copy_object') * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< * "Create a new memoryview object" @@ -15587,7 +15587,7 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx } /* "View.MemoryView":1087 - * + * * @cname('__pyx_memoryview_copy_object_from_slice') * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< * """ @@ -15608,17 +15608,17 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview /* "View.MemoryView":1094 * cdef int (*to_dtype_func)(char *, object) except 0 - * + * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func */ - __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":1095 - * + * * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func # <<<<<<<<<<<<<< * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func @@ -15639,7 +15639,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview /* "View.MemoryView":1094 * cdef int (*to_dtype_func)(char *, object) except 0 - * + * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func @@ -15652,7 +15652,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview * else: * to_object_func = NULL # <<<<<<<<<<<<<< * to_dtype_func = NULL - * + * */ /*else*/ { __pyx_v_to_object_func = NULL; @@ -15661,7 +15661,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview * else: * to_object_func = NULL * to_dtype_func = NULL # <<<<<<<<<<<<<< - * + * * return memoryview_fromslice(memviewslice[0], memview.view.ndim, */ __pyx_v_to_dtype_func = NULL; @@ -15670,7 +15670,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview /* "View.MemoryView":1101 * to_dtype_func = NULL - * + * * return memoryview_fromslice(memviewslice[0], memview.view.ndim, # <<<<<<<<<<<<<< * to_object_func, to_dtype_func, * memview.dtype_is_object) @@ -15681,8 +15681,8 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview * return memoryview_fromslice(memviewslice[0], memview.view.ndim, * to_object_func, to_dtype_func, * memview.dtype_is_object) # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 1101, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); @@ -15691,7 +15691,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview goto __pyx_L0; /* "View.MemoryView":1087 - * + * * @cname('__pyx_memoryview_copy_object_from_slice') * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< * """ @@ -15710,8 +15710,8 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview } /* "View.MemoryView":1109 - * - * + * + * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< * if arg < 0: * return -arg @@ -15722,7 +15722,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { int __pyx_t_1; /* "View.MemoryView":1110 - * + * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< * return -arg @@ -15742,7 +15742,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { goto __pyx_L0; /* "View.MemoryView":1110 - * + * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< * return -arg @@ -15754,7 +15754,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { * return -arg * else: * return arg # <<<<<<<<<<<<<< - * + * * @cname('__pyx_get_best_slice_order') */ /*else*/ { @@ -15763,8 +15763,8 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { } /* "View.MemoryView":1109 - * - * + * + * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< * if arg < 0: * return -arg @@ -15776,7 +15776,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { } /* "View.MemoryView":1116 - * + * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ @@ -15798,7 +15798,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ * cdef int i * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< * cdef Py_ssize_t f_stride = 0 - * + * */ __pyx_v_c_stride = 0; @@ -15806,14 +15806,14 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ * cdef int i * cdef Py_ssize_t c_stride = 0 * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< - * + * * for i in range(ndim - 1, -1, -1): */ __pyx_v_f_stride = 0; /* "View.MemoryView":1124 * cdef Py_ssize_t f_stride = 0 - * + * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] @@ -15822,7 +15822,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1125 - * + * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * c_stride = mslice.strides[i] @@ -15836,7 +15836,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break - * + * */ __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); @@ -15844,13 +15844,13 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< - * + * * for i in range(ndim): */ goto __pyx_L4_break; /* "View.MemoryView":1125 - * + * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * c_stride = mslice.strides[i] @@ -15862,7 +15862,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ /* "View.MemoryView":1129 * break - * + * * for i in range(ndim): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] @@ -15873,7 +15873,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ __pyx_v_i = __pyx_t_4; /* "View.MemoryView":1130 - * + * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * f_stride = mslice.strides[i] @@ -15887,7 +15887,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break - * + * */ __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); @@ -15895,13 +15895,13 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< - * + * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): */ goto __pyx_L7_break; /* "View.MemoryView":1130 - * + * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * f_stride = mslice.strides[i] @@ -15913,7 +15913,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ /* "View.MemoryView":1134 * break - * + * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< * return 'C' * else: @@ -15922,7 +15922,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ if (__pyx_t_2) { /* "View.MemoryView":1135 - * + * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): * return 'C' # <<<<<<<<<<<<<< * else: @@ -15933,7 +15933,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ /* "View.MemoryView":1134 * break - * + * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< * return 'C' * else: @@ -15944,7 +15944,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ * return 'C' * else: * return 'F' # <<<<<<<<<<<<<< - * + * * @cython.cdivision(True) */ /*else*/ { @@ -15953,7 +15953,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ } /* "View.MemoryView":1116 - * + * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ @@ -15966,7 +15966,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ } /* "View.MemoryView":1140 - * + * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< * char *dst_data, Py_ssize_t *dst_strides, @@ -15987,7 +15987,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v Py_ssize_t __pyx_t_6; /* "View.MemoryView":1147 - * + * * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_extent = dst_shape[0] @@ -16009,7 +16009,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_stride = dst_strides[0] - * + * */ __pyx_v_src_stride = (__pyx_v_src_strides[0]); @@ -16017,14 +16017,14 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< - * + * * if ndim == 1: */ __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); /* "View.MemoryView":1152 * cdef Py_ssize_t dst_stride = dst_strides[0] - * + * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): @@ -16033,7 +16033,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v if (__pyx_t_1) { /* "View.MemoryView":1153 - * + * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): @@ -16068,7 +16068,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v __pyx_L5_bool_binop_done:; /* "View.MemoryView":1153 - * + * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): @@ -16086,7 +16086,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent))); /* "View.MemoryView":1153 - * + * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): @@ -16140,7 +16140,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v /* "View.MemoryView":1152 * cdef Py_ssize_t dst_stride = dst_strides[0] - * + * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): @@ -16175,7 +16175,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v * ndim - 1, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride - * + * */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); @@ -16183,7 +16183,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v * ndim - 1, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< - * + * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, */ __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); @@ -16192,7 +16192,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v __pyx_L3:; /* "View.MemoryView":1140 - * + * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< * char *dst_data, Py_ssize_t *dst_strides, @@ -16204,7 +16204,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v /* "View.MemoryView":1170 * dst_data += dst_stride - * + * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, * int ndim, size_t itemsize) nogil: @@ -16217,13 +16217,13 @@ static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memvi * int ndim, size_t itemsize) nogil: * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<< * src.shape, dst.shape, ndim, itemsize) - * + * */ _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); /* "View.MemoryView":1170 * dst_data += dst_stride - * + * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, * int ndim, size_t itemsize) nogil: @@ -16233,7 +16233,7 @@ static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memvi } /* "View.MemoryView":1177 - * + * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< * "Return the size of the memory occupied by the slice in number of bytes" @@ -16253,7 +16253,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: * "Return the size of the memory occupied by the slice in number of bytes" * cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<< - * + * * for shape in src.shape[:ndim]: */ __pyx_t_1 = __pyx_v_src->memview->view.itemsize; @@ -16261,10 +16261,10 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr /* "View.MemoryView":1181 * cdef Py_ssize_t shape, size = src.memview.view.itemsize - * + * * for shape in src.shape[:ndim]: # <<<<<<<<<<<<<< * size *= shape - * + * */ __pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim); for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) { @@ -16272,10 +16272,10 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr __pyx_v_shape = (__pyx_t_2[0]); /* "View.MemoryView":1182 - * + * * for shape in src.shape[:ndim]: * size *= shape # <<<<<<<<<<<<<< - * + * * return size */ __pyx_v_size = (__pyx_v_size * __pyx_v_shape); @@ -16283,16 +16283,16 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr /* "View.MemoryView":1184 * size *= shape - * + * * return size # <<<<<<<<<<<<<< - * + * * @cname('__pyx_fill_contig_strides_array') */ __pyx_r = __pyx_v_size; goto __pyx_L0; /* "View.MemoryView":1177 - * + * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< * "Return the size of the memory occupied by the slice in number of bytes" @@ -16305,7 +16305,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr } /* "View.MemoryView":1187 - * + * * @cname('__pyx_fill_contig_strides_array') * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, @@ -16322,7 +16322,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ /* "View.MemoryView":1196 * cdef int idx - * + * * if order == 'F': # <<<<<<<<<<<<<< * for idx in range(ndim): * strides[idx] = stride @@ -16331,7 +16331,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ if (__pyx_t_1) { /* "View.MemoryView":1197 - * + * * if order == 'F': * for idx in range(ndim): # <<<<<<<<<<<<<< * strides[idx] = stride @@ -16363,7 +16363,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ /* "View.MemoryView":1196 * cdef int idx - * + * * if order == 'F': # <<<<<<<<<<<<<< * for idx in range(ndim): * strides[idx] = stride @@ -16387,7 +16387,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride # <<<<<<<<<<<<<< * stride *= shape[idx] - * + * */ (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; @@ -16395,7 +16395,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride * stride *= shape[idx] # <<<<<<<<<<<<<< - * + * * return stride */ __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); @@ -16405,16 +16405,16 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ /* "View.MemoryView":1205 * stride *= shape[idx] - * + * * return stride # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_copy_data_to_temp') */ __pyx_r = __pyx_v_stride; goto __pyx_L0; /* "View.MemoryView":1187 - * + * * @cname('__pyx_fill_contig_strides_array') * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, @@ -16427,7 +16427,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ } /* "View.MemoryView":1208 - * + * * @cname('__pyx_memoryview_copy_data_to_temp') * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *tmpslice, @@ -16449,26 +16449,26 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, /* "View.MemoryView":1219 * cdef void *result - * + * * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< * cdef size_t size = slice_get_size(src, ndim) - * + * */ __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":1220 - * + * * cdef size_t itemsize = src.memview.view.itemsize * cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<< - * + * * result = malloc(size) */ __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim); /* "View.MemoryView":1222 * cdef size_t size = slice_get_size(src, ndim) - * + * * result = malloc(size) # <<<<<<<<<<<<<< * if not result: * _err(MemoryError, NULL) @@ -16476,11 +16476,11 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __pyx_v_result = malloc(__pyx_v_size); /* "View.MemoryView":1223 - * + * * result = malloc(size) * if not result: # <<<<<<<<<<<<<< * _err(MemoryError, NULL) - * + * */ __pyx_t_2 = ((!(__pyx_v_result != 0)) != 0); if (__pyx_t_2) { @@ -16489,23 +16489,23 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, * result = malloc(size) * if not result: * _err(MemoryError, NULL) # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 1224, __pyx_L1_error) /* "View.MemoryView":1223 - * + * * result = malloc(size) * if not result: # <<<<<<<<<<<<<< * _err(MemoryError, NULL) - * + * */ } /* "View.MemoryView":1227 - * - * + * + * * tmpslice.data = result # <<<<<<<<<<<<<< * tmpslice.memview = src.memview * for i in range(ndim): @@ -16513,7 +16513,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __pyx_v_tmpslice->data = ((char *)__pyx_v_result); /* "View.MemoryView":1228 - * + * * tmpslice.data = result * tmpslice.memview = src.memview # <<<<<<<<<<<<<< * for i in range(ndim): @@ -16539,7 +16539,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<< * tmpslice.suboffsets[i] = -1 - * + * */ (__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]); @@ -16547,7 +16547,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] * tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< - * + * * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, */ (__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1L; @@ -16555,16 +16555,16 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, /* "View.MemoryView":1233 * tmpslice.suboffsets[i] = -1 - * + * * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, # <<<<<<<<<<<<<< * ndim, order) - * + * */ (void)(__pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order)); /* "View.MemoryView":1237 - * - * + * + * * for i in range(ndim): # <<<<<<<<<<<<<< * if tmpslice.shape[i] == 1: * tmpslice.strides[i] = 0 @@ -16575,11 +16575,11 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __pyx_v_i = __pyx_t_6; /* "View.MemoryView":1238 - * + * * for i in range(ndim): * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< * tmpslice.strides[i] = 0 - * + * */ __pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0); if (__pyx_t_2) { @@ -16588,24 +16588,24 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, * for i in range(ndim): * if tmpslice.shape[i] == 1: * tmpslice.strides[i] = 0 # <<<<<<<<<<<<<< - * + * * if slice_is_contig(src[0], order, ndim): */ (__pyx_v_tmpslice->strides[__pyx_v_i]) = 0; /* "View.MemoryView":1238 - * + * * for i in range(ndim): * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< * tmpslice.strides[i] = 0 - * + * */ } } /* "View.MemoryView":1241 * tmpslice.strides[i] = 0 - * + * * if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<< * memcpy(result, src.data, size) * else: @@ -16614,7 +16614,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, if (__pyx_t_2) { /* "View.MemoryView":1242 - * + * * if slice_is_contig(src[0], order, ndim): * memcpy(result, src.data, size) # <<<<<<<<<<<<<< * else: @@ -16624,7 +16624,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, /* "View.MemoryView":1241 * tmpslice.strides[i] = 0 - * + * * if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<< * memcpy(result, src.data, size) * else: @@ -16636,7 +16636,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, * memcpy(result, src.data, size) * else: * copy_strided_to_strided(src, tmpslice, ndim, itemsize) # <<<<<<<<<<<<<< - * + * * return result */ /*else*/ { @@ -16646,16 +16646,16 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, /* "View.MemoryView":1246 * copy_strided_to_strided(src, tmpslice, ndim, itemsize) - * + * * return result # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_r = __pyx_v_result; goto __pyx_L0; /* "View.MemoryView":1208 - * + * * @cname('__pyx_memoryview_copy_data_to_temp') * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *tmpslice, @@ -16679,7 +16679,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, } /* "View.MemoryView":1251 - * + * * @cname('__pyx_memoryview_err_extents') * cdef int _err_extents(int i, Py_ssize_t extent1, # <<<<<<<<<<<<<< * Py_ssize_t extent2) except -1 with gil: @@ -16702,7 +16702,7 @@ static int __pyx_memoryview_err_extents(int __pyx_v_i, Py_ssize_t __pyx_v_extent * Py_ssize_t extent2) except -1 with gil: * raise ValueError("got differing extents in dimension %d (got %d and %d)" % * (i, extent1, extent2)) # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_err_dim') */ __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_i); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 1254, __pyx_L1_error) @@ -16728,7 +16728,7 @@ static int __pyx_memoryview_err_extents(int __pyx_v_i, Py_ssize_t __pyx_v_extent * Py_ssize_t extent2) except -1 with gil: * raise ValueError("got differing extents in dimension %d (got %d and %d)" % # <<<<<<<<<<<<<< * (i, extent1, extent2)) - * + * */ __pyx_t_3 = __Pyx_PyString_Format(__pyx_kp_s_got_differing_extents_in_dimensi, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1253, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); @@ -16741,7 +16741,7 @@ static int __pyx_memoryview_err_extents(int __pyx_v_i, Py_ssize_t __pyx_v_extent __PYX_ERR(2, 1253, __pyx_L1_error) /* "View.MemoryView":1251 - * + * * @cname('__pyx_memoryview_err_extents') * cdef int _err_extents(int i, Py_ssize_t extent1, # <<<<<<<<<<<<<< * Py_ssize_t extent2) except -1 with gil: @@ -16764,11 +16764,11 @@ static int __pyx_memoryview_err_extents(int __pyx_v_i, Py_ssize_t __pyx_v_extent } /* "View.MemoryView":1257 - * + * * @cname('__pyx_memoryview_err_dim') * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: # <<<<<<<<<<<<<< * raise error(msg.decode('ascii') % dim) - * + * */ static int __pyx_memoryview_err_dim(PyObject *__pyx_v_error, char *__pyx_v_msg, int __pyx_v_dim) { @@ -16788,7 +16788,7 @@ static int __pyx_memoryview_err_dim(PyObject *__pyx_v_error, char *__pyx_v_msg, * @cname('__pyx_memoryview_err_dim') * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: * raise error(msg.decode('ascii') % dim) # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_err') */ __pyx_t_2 = __Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1258, __pyx_L1_error) @@ -16821,11 +16821,11 @@ static int __pyx_memoryview_err_dim(PyObject *__pyx_v_error, char *__pyx_v_msg, __PYX_ERR(2, 1258, __pyx_L1_error) /* "View.MemoryView":1257 - * + * * @cname('__pyx_memoryview_err_dim') * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: # <<<<<<<<<<<<<< * raise error(msg.decode('ascii') % dim) - * + * */ /* function exit code */ @@ -16845,7 +16845,7 @@ static int __pyx_memoryview_err_dim(PyObject *__pyx_v_error, char *__pyx_v_msg, } /* "View.MemoryView":1261 - * + * * @cname('__pyx_memoryview_err') * cdef int _err(object error, char *msg) except -1 with gil: # <<<<<<<<<<<<<< * if msg != NULL: @@ -16919,7 +16919,7 @@ static int __pyx_memoryview_err(PyObject *__pyx_v_error, char *__pyx_v_msg) { * raise error(msg.decode('ascii')) * else: * raise error # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_copy_contents') */ /*else*/ { @@ -16928,7 +16928,7 @@ static int __pyx_memoryview_err(PyObject *__pyx_v_error, char *__pyx_v_msg) { } /* "View.MemoryView":1261 - * + * * @cname('__pyx_memoryview_err') * cdef int _err(object error, char *msg) except -1 with gil: # <<<<<<<<<<<<<< * if msg != NULL: @@ -16952,7 +16952,7 @@ static int __pyx_memoryview_err(PyObject *__pyx_v_error, char *__pyx_v_msg) { } /* "View.MemoryView":1268 - * + * * @cname('__pyx_memoryview_copy_contents') * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< * __Pyx_memviewslice dst, @@ -17020,13 +17020,13 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * cdef bint broadcasting = False * cdef bint direct_copy = False # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice tmp - * + * */ __pyx_v_direct_copy = 0; /* "View.MemoryView":1284 * cdef __Pyx_memviewslice tmp - * + * * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: @@ -17035,7 +17035,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ if (__pyx_t_2) { /* "View.MemoryView":1285 - * + * * if src_ndim < dst_ndim: * broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<< * elif dst_ndim < src_ndim: @@ -17045,7 +17045,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ /* "View.MemoryView":1284 * cdef __Pyx_memviewslice tmp - * + * * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: @@ -17058,7 +17058,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< * broadcast_leading(&dst, dst_ndim, src_ndim) - * + * */ __pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0); if (__pyx_t_2) { @@ -17067,7 +17067,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: * broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<< - * + * * cdef int ndim = max(src_ndim, dst_ndim) */ __pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim); @@ -17077,16 +17077,16 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< * broadcast_leading(&dst, dst_ndim, src_ndim) - * + * */ } __pyx_L3:; /* "View.MemoryView":1289 * broadcast_leading(&dst, dst_ndim, src_ndim) - * + * * cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<< - * + * * for i in range(ndim): */ __pyx_t_3 = __pyx_v_dst_ndim; @@ -17100,7 +17100,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ /* "View.MemoryView":1291 * cdef int ndim = max(src_ndim, dst_ndim) - * + * * for i in range(ndim): # <<<<<<<<<<<<<< * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: @@ -17111,7 +17111,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_v_i = __pyx_t_4; /* "View.MemoryView":1292 - * + * * for i in range(ndim): * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< * if src.shape[i] == 1: @@ -17162,7 +17162,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * src.strides[i] = 0 * else: * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< - * + * * if src.suboffsets[i] >= 0: */ /*else*/ { @@ -17171,7 +17171,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_L7:; /* "View.MemoryView":1292 - * + * * for i in range(ndim): * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< * if src.shape[i] == 1: @@ -17181,38 +17181,38 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ /* "View.MemoryView":1299 * _err_extents(i, dst.shape[i], src.shape[i]) - * + * * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Dimension %d is not direct", i) - * + * */ __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":1300 - * + * * if src.suboffsets[i] >= 0: * _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< - * + * * if slices_overlap(&src, &dst, ndim, itemsize): */ __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1300, __pyx_L1_error) /* "View.MemoryView":1299 * _err_extents(i, dst.shape[i], src.shape[i]) - * + * * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Dimension %d is not direct", i) - * + * */ } } /* "View.MemoryView":1302 * _err_dim(ValueError, "Dimension %d is not direct", i) - * + * * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< - * + * * if not slice_is_contig(src, order, ndim): */ __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0); @@ -17220,73 +17220,73 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ /* "View.MemoryView":1304 * if slices_overlap(&src, &dst, ndim, itemsize): - * + * * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< * order = get_best_order(&dst, ndim) - * + * */ __pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1305 - * + * * if not slice_is_contig(src, order, ndim): * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< - * + * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) */ __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); /* "View.MemoryView":1304 * if slices_overlap(&src, &dst, ndim, itemsize): - * + * * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< * order = get_best_order(&dst, ndim) - * + * */ } /* "View.MemoryView":1307 * order = get_best_order(&dst, ndim) - * + * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< * src = tmp - * + * */ __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(2, 1307, __pyx_L1_error) __pyx_v_tmpdata = __pyx_t_7; /* "View.MemoryView":1308 - * + * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) * src = tmp # <<<<<<<<<<<<<< - * + * * if not broadcasting: */ __pyx_v_src = __pyx_v_tmp; /* "View.MemoryView":1302 * _err_dim(ValueError, "Dimension %d is not direct", i) - * + * * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< - * + * * if not slice_is_contig(src, order, ndim): */ } /* "View.MemoryView":1310 * src = tmp - * + * * if not broadcasting: # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1313 - * - * + * + * * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): @@ -17295,7 +17295,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ if (__pyx_t_2) { /* "View.MemoryView":1314 - * + * * if slice_is_contig(src, 'C', ndim): * direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<< * elif slice_is_contig(src, 'F', ndim): @@ -17304,8 +17304,8 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim); /* "View.MemoryView":1313 - * - * + * + * * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): @@ -17318,7 +17318,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(dst, 'F', ndim) - * + * */ __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0); if (__pyx_t_2) { @@ -17327,7 +17327,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): * direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<< - * + * * if direct_copy: */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim); @@ -17337,16 +17337,16 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(dst, 'F', ndim) - * + * */ } __pyx_L12:; /* "View.MemoryView":1318 * direct_copy = slice_is_contig(dst, 'F', ndim) - * + * * if direct_copy: # <<<<<<<<<<<<<< - * + * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_2 = (__pyx_v_direct_copy != 0); @@ -17354,7 +17354,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ /* "View.MemoryView":1320 * if direct_copy: - * + * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) @@ -17362,7 +17362,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1321 - * + * * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) @@ -17384,7 +17384,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) # <<<<<<<<<<<<<< * return 0 - * + * */ free(__pyx_v_tmpdata); @@ -17392,7 +17392,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) * return 0 # <<<<<<<<<<<<<< - * + * * if order == 'F' == get_best_order(&dst, ndim): */ __pyx_r = 0; @@ -17400,28 +17400,28 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ /* "View.MemoryView":1318 * direct_copy = slice_is_contig(dst, 'F', ndim) - * + * * if direct_copy: # <<<<<<<<<<<<<< - * + * * refcount_copying(&dst, dtype_is_object, ndim, False) */ } /* "View.MemoryView":1310 * src = tmp - * + * * if not broadcasting: # <<<<<<<<<<<<<< - * - * + * + * */ } /* "View.MemoryView":1326 * return 0 - * + * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_t_2 = (__pyx_v_order == 'F'); if (__pyx_t_2) { @@ -17431,35 +17431,35 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ if (__pyx_t_8) { /* "View.MemoryView":1329 - * - * + * + * * transpose_memslice(&src) # <<<<<<<<<<<<<< * transpose_memslice(&dst) - * + * */ __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1329, __pyx_L1_error) /* "View.MemoryView":1330 - * + * * transpose_memslice(&src) * transpose_memslice(&dst) # <<<<<<<<<<<<<< - * + * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1330, __pyx_L1_error) /* "View.MemoryView":1326 * return 0 - * + * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< - * - * + * + * */ } /* "View.MemoryView":1332 * transpose_memslice(&dst) - * + * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) @@ -17467,11 +17467,11 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1333 - * + * * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) - * + * */ copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); @@ -17479,32 +17479,32 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< - * + * * free(tmpdata) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1336 * refcount_copying(&dst, dtype_is_object, ndim, True) - * + * * free(tmpdata) # <<<<<<<<<<<<<< * return 0 - * + * */ free(__pyx_v_tmpdata); /* "View.MemoryView":1337 - * + * * free(tmpdata) * return 0 # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_broadcast_leading') */ __pyx_r = 0; goto __pyx_L0; /* "View.MemoryView":1268 - * + * * @cname('__pyx_memoryview_copy_contents') * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< * __Pyx_memviewslice dst, @@ -17528,7 +17528,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ } /* "View.MemoryView":1340 - * + * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< * int ndim, @@ -17546,14 +17546,14 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic * int ndim_other) nogil: * cdef int i * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< - * + * * for i in range(ndim - 1, -1, -1): */ __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); /* "View.MemoryView":1346 * cdef int offset = ndim_other - ndim - * + * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * mslice.shape[i + offset] = mslice.shape[i] * mslice.strides[i + offset] = mslice.strides[i] @@ -17562,7 +17562,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1347 - * + * * for i in range(ndim - 1, -1, -1): * mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<< * mslice.strides[i + offset] = mslice.strides[i] @@ -17575,7 +17575,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic * mslice.shape[i + offset] = mslice.shape[i] * mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<< * mslice.suboffsets[i + offset] = mslice.suboffsets[i] - * + * */ (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]); @@ -17583,7 +17583,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic * mslice.shape[i + offset] = mslice.shape[i] * mslice.strides[i + offset] = mslice.strides[i] * mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<< - * + * * for i in range(offset): */ (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]); @@ -17591,7 +17591,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic /* "View.MemoryView":1351 * mslice.suboffsets[i + offset] = mslice.suboffsets[i] - * + * * for i in range(offset): # <<<<<<<<<<<<<< * mslice.shape[i] = 1 * mslice.strides[i] = mslice.strides[0] @@ -17602,7 +17602,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1352 - * + * * for i in range(offset): * mslice.shape[i] = 1 # <<<<<<<<<<<<<< * mslice.strides[i] = mslice.strides[0] @@ -17615,7 +17615,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic * mslice.shape[i] = 1 * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<< * mslice.suboffsets[i] = -1 - * + * */ (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]); @@ -17623,14 +17623,14 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic * mslice.shape[i] = 1 * mslice.strides[i] = mslice.strides[0] * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< - * - * + * + * */ (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L; } /* "View.MemoryView":1340 - * + * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< * int ndim, @@ -17641,19 +17641,19 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic } /* "View.MemoryView":1362 - * + * * @cname('__pyx_memoryview_refcount_copying') * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< * int ndim, bint inc) nogil: - * + * */ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { int __pyx_t_1; /* "View.MemoryView":1366 - * - * + * + * * if dtype_is_object: # <<<<<<<<<<<<<< * refcount_objects_in_slice_with_gil(dst.data, dst.shape, * dst.strides, ndim, inc) @@ -17662,17 +17662,17 @@ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, i if (__pyx_t_1) { /* "View.MemoryView":1367 - * + * * if dtype_is_object: * refcount_objects_in_slice_with_gil(dst.data, dst.shape, # <<<<<<<<<<<<<< * dst.strides, ndim, inc) - * + * */ __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); /* "View.MemoryView":1366 - * - * + * + * * if dtype_is_object: # <<<<<<<<<<<<<< * refcount_objects_in_slice_with_gil(dst.data, dst.shape, * dst.strides, ndim, inc) @@ -17680,18 +17680,18 @@ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, i } /* "View.MemoryView":1362 - * + * * @cname('__pyx_memoryview_refcount_copying') * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< * int ndim, bint inc) nogil: - * + * */ /* function exit code */ } /* "View.MemoryView":1371 - * + * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, @@ -17709,13 +17709,13 @@ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_da * Py_ssize_t *strides, int ndim, * bint inc) with gil: * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< - * + * * @cname('__pyx_memoryview_refcount_objects_in_slice') */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); /* "View.MemoryView":1371 - * + * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, @@ -17730,7 +17730,7 @@ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_da } /* "View.MemoryView":1377 - * + * * @cname('__pyx_memoryview_refcount_objects_in_slice') * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, bint inc): @@ -17748,7 +17748,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss /* "View.MemoryView":1381 * cdef Py_ssize_t i - * + * * for i in range(shape[0]): # <<<<<<<<<<<<<< * if ndim == 1: * if inc: @@ -17759,7 +17759,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1382 - * + * * for i in range(shape[0]): * if ndim == 1: # <<<<<<<<<<<<<< * if inc: @@ -17810,7 +17810,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss __pyx_L6:; /* "View.MemoryView":1382 - * + * * for i in range(shape[0]): * if ndim == 1: # <<<<<<<<<<<<<< * if inc: @@ -17824,7 +17824,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, # <<<<<<<<<<<<<< * ndim - 1, inc) - * + * */ /*else*/ { @@ -17832,7 +17832,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, * ndim - 1, inc) # <<<<<<<<<<<<<< - * + * * data += strides[0] */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc); @@ -17841,16 +17841,16 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss /* "View.MemoryView":1391 * ndim - 1, inc) - * + * * data += strides[0] # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_v_data = (__pyx_v_data + (__pyx_v_strides[0])); } /* "View.MemoryView":1377 - * + * * @cname('__pyx_memoryview_refcount_objects_in_slice') * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, bint inc): @@ -17862,7 +17862,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss } /* "View.MemoryView":1397 - * + * * @cname('__pyx_memoryview_slice_assign_scalar') * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< * size_t itemsize, void *item, @@ -17893,13 +17893,13 @@ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) * refcount_copying(dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1397 - * + * * @cname('__pyx_memoryview_slice_assign_scalar') * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< * size_t itemsize, void *item, @@ -17910,7 +17910,7 @@ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst } /* "View.MemoryView":1407 - * + * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, @@ -17931,7 +17931,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t * cdef Py_ssize_t i * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t extent = shape[0] - * + * */ __pyx_v_stride = (__pyx_v_strides[0]); @@ -17939,14 +17939,14 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t * cdef Py_ssize_t i * cdef Py_ssize_t stride = strides[0] * cdef Py_ssize_t extent = shape[0] # <<<<<<<<<<<<<< - * + * * if ndim == 1: */ __pyx_v_extent = (__pyx_v_shape[0]); /* "View.MemoryView":1414 * cdef Py_ssize_t extent = shape[0] - * + * * if ndim == 1: # <<<<<<<<<<<<<< * for i in range(extent): * memcpy(data, item, itemsize) @@ -17955,7 +17955,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t if (__pyx_t_1) { /* "View.MemoryView":1415 - * + * * if ndim == 1: * for i in range(extent): # <<<<<<<<<<<<<< * memcpy(data, item, itemsize) @@ -17987,7 +17987,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t /* "View.MemoryView":1414 * cdef Py_ssize_t extent = shape[0] - * + * * if ndim == 1: # <<<<<<<<<<<<<< * for i in range(extent): * memcpy(data, item, itemsize) @@ -18021,8 +18021,8 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) * data += stride # <<<<<<<<<<<<<< - * - * + * + * */ __pyx_v_data = (__pyx_v_data + __pyx_v_stride); } @@ -18030,7 +18030,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t __pyx_L3:; /* "View.MemoryView":1407 - * + * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, @@ -18550,7 +18550,7 @@ static PyBufferProcs __pyx_tp_as_buffer_array = { static PyTypeObject __pyx_type___pyx_array = { PyVarObject_HEAD_INIT(0, 0) - "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core.array", /*tp_name*/ + "TTS.tts.layers.glow_tts.monotonic_align.core.array", /*tp_name*/ sizeof(struct __pyx_array_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_array, /*tp_dealloc*/ @@ -18669,7 +18669,7 @@ static PyMethodDef __pyx_methods_Enum[] = { static PyTypeObject __pyx_type___pyx_MemviewEnum = { PyVarObject_HEAD_INIT(0, 0) - "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core.Enum", /*tp_name*/ + "TTS.tts.layers.glow_tts.monotonic_align.core.Enum", /*tp_name*/ sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_Enum, /*tp_dealloc*/ @@ -18930,7 +18930,7 @@ static PyBufferProcs __pyx_tp_as_buffer_memoryview = { static PyTypeObject __pyx_type___pyx_memoryview = { PyVarObject_HEAD_INIT(0, 0) - "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core.memoryview", /*tp_name*/ + "TTS.tts.layers.glow_tts.monotonic_align.core.memoryview", /*tp_name*/ sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ @@ -19068,7 +19068,7 @@ static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = { static PyTypeObject __pyx_type___pyx_memoryviewslice = { PyVarObject_HEAD_INIT(0, 0) - "mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core._memoryviewslice", /*tp_name*/ + "TTS.tts.layers.glow_tts.monotonic_align.core._memoryviewslice", /*tp_name*/ sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/ @@ -19319,7 +19319,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< - * + * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) */ __pyx_tuple__2 = PyTuple_Pack(1, __pyx_kp_u_ndarray_is_not_C_contiguous); if (unlikely(!__pyx_tuple__2)) __PYX_ERR(1, 272, __pyx_L1_error) @@ -19330,7 +19330,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< - * + * * info.buf = PyArray_DATA(self) */ __pyx_tuple__3 = PyTuple_Pack(1, __pyx_kp_u_ndarray_is_not_Fortran_contiguou); if (unlikely(!__pyx_tuple__3)) __PYX_ERR(1, 276, __pyx_L1_error) @@ -19349,10 +19349,10 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GIVEREF(__pyx_tuple__4); /* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 - * + * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< - 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__Pyx_AddTraceback("init mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("init TTS.tts.layers.glow_tts.monotonic_align.core", __pyx_clineno, __pyx_lineno, __pyx_filename); } Py_CLEAR(__pyx_m); } else if (!PyErr_Occurred()) { - PyErr_SetString(PyExc_ImportError, "init mozilla_voice_tts.tts.layers.glow_tts.monotonic_align.core"); + PyErr_SetString(PyExc_ImportError, "init TTS.tts.layers.glow_tts.monotonic_align.core"); } __pyx_L0:; __Pyx_RefNannyFinishContext(); @@ -21966,8 +21966,8 @@ static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED llx = lla + llb; return PyLong_FromLongLong(llx); #endif - - + + } #endif if (PyFloat_CheckExact(op1)) { diff --git a/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.pyx b/TTS/tts/layers/glow_tts/monotonic_align/core.pyx similarity index 100% rename from mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/core.pyx rename to TTS/tts/layers/glow_tts/monotonic_align/core.pyx diff --git a/mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/setup.py b/TTS/tts/layers/glow_tts/monotonic_align/setup.py similarity index 100% rename from mozilla_voice_tts/tts/layers/glow_tts/monotonic_align/setup.py rename to TTS/tts/layers/glow_tts/monotonic_align/setup.py diff --git a/mozilla_voice_tts/tts/layers/glow_tts/transformer.py b/TTS/tts/layers/glow_tts/transformer.py similarity index 99% rename from mozilla_voice_tts/tts/layers/glow_tts/transformer.py rename to TTS/tts/layers/glow_tts/transformer.py index 2b9cd3bc..5cccea19 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/transformer.py +++ b/TTS/tts/layers/glow_tts/transformer.py @@ -5,7 +5,7 @@ import torch from torch import nn from torch.nn import functional as F -from mozilla_voice_tts.tts.layers.glow_tts.glow import LayerNorm +from TTS.tts.layers.glow_tts.glow import LayerNorm class RelativePositionMultiHeadAttention(nn.Module): diff --git a/mozilla_voice_tts/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py similarity index 96% rename from mozilla_voice_tts/tts/models/glow_tts.py rename to TTS/tts/models/glow_tts.py index b7551086..67212a36 100644 --- a/mozilla_voice_tts/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -3,10 +3,10 @@ import torch from torch import nn from torch.nn import functional as F -from mozilla_voice_tts.tts.layers.glow_tts.encoder import Encoder -from mozilla_voice_tts.tts.layers.glow_tts.decoder import Decoder -from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask -from mozilla_voice_tts.tts.layers.glow_tts.monotonic_align import maximum_path, generate_path +from TTS.tts.layers.glow_tts.encoder import Encoder +from TTS.tts.layers.glow_tts.decoder import Decoder +from TTS.tts.utils.generic_utils import sequence_mask +from TTS.tts.layers.glow_tts.monotonic_align import maximum_path, generate_path class GlowTts(nn.Module): diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index e93a14f7..183f5b90 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -49,7 +49,7 @@ def to_camel(text): def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): print(" > Using model: {}".format(c.model)) MyModel = importlib.import_module('TTS.tts.models.' + c.model.lower()) - MyModel = getattr(MyModel, c.model) + MyModel = getattr(MyModel, to_camel(c.model)) if c.model.lower() in "tacotron": model = MyModel(num_chars=num_chars, num_speakers=num_speakers, diff --git a/TTS/utils/io.py b/TTS/utils/io.py index c54d2e9f..07ec63a0 100644 --- a/TTS/utils/io.py +++ b/TTS/utils/io.py @@ -5,8 +5,8 @@ import pickle as pickle_tts class RenamingUnpickler(pickle_tts.Unpickler): """Overload default pickler to solve module renaming problem""" def find_class(self, module, name): - if 'mozilla_voice_tts' in module : - module = module.replace('mozilla_voice_tts', 'TTS') + if 'TTS' in module : + module = module.replace('TTS', 'TTS') return super().find_class(module, name) class AttrDict(dict): From 72b8ac0ff64c87d3193335480af9d21771ad1e90 Mon Sep 17 00:00:00 2001 From: erogol Date: Sun, 9 Aug 2020 12:43:05 +0200 Subject: [PATCH 17/26] remove redundant arguments --- TTS/tts/utils/generic_utils.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 183f5b90..41efa210 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -122,8 +122,6 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): num_splits=4, num_sqz=2, sigmoid_scale=False, - rel_attn_window_size=4, - input_length=None, mean_only=True, hidden_channels_enc=192, hidden_channels_dec=192, From 498a3ea36fdb51870f859ed6c2cd908f1f04cd44 Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 11 Aug 2020 18:27:49 +0200 Subject: [PATCH 18/26] fix condition check --- TTS/bin/train_glow_tts.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TTS/bin/train_glow_tts.py b/TTS/bin/train_glow_tts.py index 72b1eef5..3d71dbd5 100644 --- a/TTS/bin/train_glow_tts.py +++ b/TTS/bin/train_glow_tts.py @@ -389,7 +389,7 @@ def evaluate(model, criterion, ap, global_step, epoch): tb_logger.tb_eval_stats(global_step, keep_avg.avg_values) tb_logger.tb_eval_figures(global_step, eval_figures) - if args.rank == 0 and epoch > c.test_delay_epochs: + if args.rank == 0 and epoch >= c.test_delay_epochs: if c.test_sentences_file is None: test_sentences = [ "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", From 45fbc0d0038e9632a05397e4028e121d0185ae7a Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 13 Aug 2020 12:42:48 +0200 Subject: [PATCH 19/26] convolution encoder with GLU and res connections --- TTS/tts/layers/glow_tts/glow.py | 2 +- TTS/tts/models/glow_tts.py | 23 +++++++++-------------- 2 files changed, 10 insertions(+), 15 deletions(-) diff --git a/TTS/tts/layers/glow_tts/glow.py b/TTS/tts/layers/glow_tts/glow.py index b560db21..045909dc 100644 --- a/TTS/tts/layers/glow_tts/glow.py +++ b/TTS/tts/layers/glow_tts/glow.py @@ -65,7 +65,7 @@ class ConvLayerNorm(nn.Module): self.proj.bias.data.zero_() def forward(self, x, x_mask): - x_org = x + x_res = x for i in range(self.num_layers): x = self.conv_layers[i](x * x_mask) x = self.norm_layers[i](x * x_mask) diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index 67212a36..245f6252 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -69,20 +69,15 @@ class GlowTts(nn.Module): self.length_scale=1. self.encoder = Encoder(num_chars, - out_channels, - hidden_channels_enc or hidden_channels, - filter_channels, - filter_channels_dp, - encoder_type, - num_heads, - num_layers_enc, - kernel_size, - dropout_p, - rel_attn_window_size=rel_attn_window_size, - input_length=input_length, - mean_only=mean_only, - use_prenet=True, - c_in_channels=c_in_channels) + out_channels=out_channels, + hidden_channels=hidden_channels, + filter_channels=filter_channels, + filter_channels_dp=filter_channels_dp, + num_layers=num_layers_enc, + kernel_size=kernel_size, + dropout_p=dropout_p, + mean_only=mean_only, + c_in_channels=c_in_channels) self.decoder = Decoder(out_channels, hidden_channels_dec or hidden_channels, From 53523eebbe1238ccbad2c94e36360857649ee9c2 Mon Sep 17 00:00:00 2001 From: erogol Date: Sun, 16 Aug 2020 17:49:56 +0200 Subject: [PATCH 20/26] layer norm before GLU --- .../tts/layers/glow_tts/encoder.py | 139 ++++++++++++++++++ 1 file changed, 139 insertions(+) create mode 100644 mozilla_voice_tts/tts/layers/glow_tts/encoder.py diff --git a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py new file mode 100644 index 00000000..2f24f9e0 --- /dev/null +++ b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py @@ -0,0 +1,139 @@ +import math +import torch +from torch import nn +from torch.nn import functional as F + +from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask +from mozilla_voice_tts.tts.layers.glow_tts.glow import ConvLayerNorm, LayerNorm +from mozilla_voice_tts.tts.layers.glow_tts.duration_predictor import DurationPredictor +from mozilla_voice_tts.tts.layers.tacotron2 import ConvBNBlock + + +class PositionalEncoding(nn.Module): + def __init__(self, d_model, max_len=5000): + super(PositionalEncoding, self).__init__() + self.register_buffer('pe', self._get_pe_matrix(d_model, max_len)) + + def forward(self, x): + return x + self.pe[:x.size(0)].unsqueeze(1) + + def _get_pe_matrix(self, d_model, max_len): + pe = torch.zeros(max_len, d_model) + position = torch.arange(0, max_len, dtype=torch.float).unsqueeze(1) + div_term = torch.pow(10000, + torch.arange(0, d_model, 2).float() / d_model) + + pe[:, 0::2] = torch.sin(position / div_term) + pe[:, 1::2] = torch.cos(position / div_term) + + return pe + + +class ConvBlock(nn.Module): + def __init__(self, in_out_channels, kernel_size, dropout_p): + super().__init__() + self.conv_layer = nn.Conv1d(in_out_channels, 2 * in_out_channels, kernel_size, padding=kernel_size//2) + self.dropout = nn.Dropout(dropout_p) + self.layer_norm = LayerNorm(2 * in_out_channels) + self.glu = nn.GLU(1) + + def forward(self, x, x_mask): + res = x + o = self.dropout(x) + o = self.conv_layer(o * x_mask) + o = self.layer_norm(o) + o = self.glu(o) + return res + o + + +class Encoder(nn.Module): + """Glow-TTS encoder module. We use Pytorch TransformerEncoder instead + of the one with relative position embedding. We use positional encoding + for capturing positiong information. + + Args: + num_chars (int): number of characters. + out_channels (int): number of output channels. + hidden_channels (int): encoder's embedding size. + filter_channels (int): transformer's feed-forward channels. + num_head (int): number of attention heads in transformer. + num_layers (int): number of transformer encoder stack. + kernel_size (int): kernel size for conv layers and duration predictor. + dropout_p (float): dropout rate for any dropout layer. + mean_only (bool): if True, output only mean values and use constant std. + use_prenet (bool): if True, use pre-convolutional layers before transformer layers. + c_in_channels (int): number of channels in conditional input. + + Shapes: + - input: (B, T, C) + """ + + def __init__(self, + num_chars, + out_channels, + hidden_channels, + filter_channels, + filter_channels_dp, + num_layers, + kernel_size, + dropout_p, + mean_only=False, + use_prenet=False, + c_in_channels=0): + + super().__init__() + + self.num_chars = num_chars + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.filter_channels_dp = filter_channels_dp + self.num_layers = num_layers + self.kernel_size = kernel_size + self.dropout_p = dropout_p + self.mean_only = mean_only + self.use_prenet = use_prenet + self.c_in_channels = c_in_channels + + self.emb = nn.Embedding(num_chars, hidden_channels) + nn.init.normal_(self.emb.weight, 0.0, hidden_channels**-0.5) + + self.encoder = nn.ModuleList() + for i in range(num_layers + 3): + self.encoder += [ConvBlock(hidden_channels, kernel_size=5, dropout_p=dropout_p)] + + self.proj_m = nn.Conv1d(hidden_channels, out_channels, 1) + if not mean_only: + self.proj_s = nn.Conv1d(hidden_channels, out_channels, 1) + self.duration_predictor = DurationPredictor( + hidden_channels + c_in_channels, filter_channels_dp, kernel_size, + dropout_p) + + def forward(self, x, x_lengths, g=None): + # pass embedding layer + # [B ,T, D] + x = self.emb(x) + # x += self.pe[:x.shape[1]].unsqueeze(0) + # [B, D, T] + x = torch.transpose(x, 1, -1) + # compute input sequence mask + x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.size(2)), + 1).to(x.dtype) + # pass encoder + for layer in self.encoder: + x = layer(x) + # set duration predictor input + if g is not None: + g_exp = g.expand(-1, -1, x.size(-1)) + x_dp = torch.cat([torch.detach(x), g_exp], 1) + else: + x_dp = torch.detach(x) + # pass final projection layer + x_m = self.proj_m(x) * x_mask + if not self.mean_only: + x_logs = self.proj_s(x) * x_mask + else: + x_logs = torch.zeros_like(x_m) + # pass duration predictor + logw = self.duration_predictor(x_dp, x_mask) + return x_m, x_logs, logw, x_mask From 7c2c4d6f27bbcd5d150c6109a5d92df6e486caf2 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 17 Aug 2020 10:58:49 +0200 Subject: [PATCH 21/26] pass x_mask to layer norm --- TTS/vocoder/layers/pqmf.py | 2 +- mozilla_voice_tts/tts/layers/glow_tts/encoder.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/TTS/vocoder/layers/pqmf.py b/TTS/vocoder/layers/pqmf.py index ef5a3507..d31953d6 100644 --- a/TTS/vocoder/layers/pqmf.py +++ b/TTS/vocoder/layers/pqmf.py @@ -22,7 +22,7 @@ class PQMF(torch.nn.Module): for k in range(N): constant_factor = (2 * k + 1) * (np.pi / (2 * N)) * (np.arange(taps + 1) - - ((taps - 1) / 2)) + ((taps - 1) / 2)) # TODO: (taps - 1) -> taps phase = (-1)**k * np.pi / 4 H[k] = 2 * QMF * np.cos(constant_factor + phase) diff --git a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py index 2f24f9e0..1e691823 100644 --- a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py +++ b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py @@ -121,7 +121,7 @@ class Encoder(nn.Module): 1).to(x.dtype) # pass encoder for layer in self.encoder: - x = layer(x) + x = layer(x, x_mask) # set duration predictor input if g is not None: g_exp = g.expand(-1, -1, x.size(-1)) From f1a75468c260cb2efc5cce7683771ba631eafcdc Mon Sep 17 00:00:00 2001 From: erogol Date: Sat, 12 Sep 2020 04:00:25 +0200 Subject: [PATCH 22/26] fix arguments --- TTS/tts/models/glow_tts.py | 3 + .../tts/layers/glow_tts/encoder.py | 139 ------------------ 2 files changed, 3 insertions(+), 139 deletions(-) delete mode 100644 mozilla_voice_tts/tts/layers/glow_tts/encoder.py diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index 245f6252..ce0865d2 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -73,12 +73,15 @@ class GlowTts(nn.Module): hidden_channels=hidden_channels, filter_channels=filter_channels, filter_channels_dp=filter_channels_dp, + encoder_type=encoder_type, + num_heads=num_heads, num_layers=num_layers_enc, kernel_size=kernel_size, dropout_p=dropout_p, mean_only=mean_only, c_in_channels=c_in_channels) + self.decoder = Decoder(out_channels, hidden_channels_dec or hidden_channels, kernel_size_dec, diff --git a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py b/mozilla_voice_tts/tts/layers/glow_tts/encoder.py deleted file mode 100644 index 1e691823..00000000 --- a/mozilla_voice_tts/tts/layers/glow_tts/encoder.py +++ /dev/null @@ -1,139 +0,0 @@ -import math -import torch -from torch import nn -from torch.nn import functional as F - -from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask -from mozilla_voice_tts.tts.layers.glow_tts.glow import ConvLayerNorm, LayerNorm -from mozilla_voice_tts.tts.layers.glow_tts.duration_predictor import DurationPredictor -from mozilla_voice_tts.tts.layers.tacotron2 import ConvBNBlock - - -class PositionalEncoding(nn.Module): - def __init__(self, d_model, max_len=5000): - super(PositionalEncoding, self).__init__() - self.register_buffer('pe', self._get_pe_matrix(d_model, max_len)) - - def forward(self, x): - return x + self.pe[:x.size(0)].unsqueeze(1) - - def _get_pe_matrix(self, d_model, max_len): - pe = torch.zeros(max_len, d_model) - position = torch.arange(0, max_len, dtype=torch.float).unsqueeze(1) - div_term = torch.pow(10000, - torch.arange(0, d_model, 2).float() / d_model) - - pe[:, 0::2] = torch.sin(position / div_term) - pe[:, 1::2] = torch.cos(position / div_term) - - return pe - - -class ConvBlock(nn.Module): - def __init__(self, in_out_channels, kernel_size, dropout_p): - super().__init__() - self.conv_layer = nn.Conv1d(in_out_channels, 2 * in_out_channels, kernel_size, padding=kernel_size//2) - self.dropout = nn.Dropout(dropout_p) - self.layer_norm = LayerNorm(2 * in_out_channels) - self.glu = nn.GLU(1) - - def forward(self, x, x_mask): - res = x - o = self.dropout(x) - o = self.conv_layer(o * x_mask) - o = self.layer_norm(o) - o = self.glu(o) - return res + o - - -class Encoder(nn.Module): - """Glow-TTS encoder module. We use Pytorch TransformerEncoder instead - of the one with relative position embedding. We use positional encoding - for capturing positiong information. - - Args: - num_chars (int): number of characters. - out_channels (int): number of output channels. - hidden_channels (int): encoder's embedding size. - filter_channels (int): transformer's feed-forward channels. - num_head (int): number of attention heads in transformer. - num_layers (int): number of transformer encoder stack. - kernel_size (int): kernel size for conv layers and duration predictor. - dropout_p (float): dropout rate for any dropout layer. - mean_only (bool): if True, output only mean values and use constant std. - use_prenet (bool): if True, use pre-convolutional layers before transformer layers. - c_in_channels (int): number of channels in conditional input. - - Shapes: - - input: (B, T, C) - """ - - def __init__(self, - num_chars, - out_channels, - hidden_channels, - filter_channels, - filter_channels_dp, - num_layers, - kernel_size, - dropout_p, - mean_only=False, - use_prenet=False, - c_in_channels=0): - - super().__init__() - - self.num_chars = num_chars - self.out_channels = out_channels - self.hidden_channels = hidden_channels - self.filter_channels = filter_channels - self.filter_channels_dp = filter_channels_dp - self.num_layers = num_layers - self.kernel_size = kernel_size - self.dropout_p = dropout_p - self.mean_only = mean_only - self.use_prenet = use_prenet - self.c_in_channels = c_in_channels - - self.emb = nn.Embedding(num_chars, hidden_channels) - nn.init.normal_(self.emb.weight, 0.0, hidden_channels**-0.5) - - self.encoder = nn.ModuleList() - for i in range(num_layers + 3): - self.encoder += [ConvBlock(hidden_channels, kernel_size=5, dropout_p=dropout_p)] - - self.proj_m = nn.Conv1d(hidden_channels, out_channels, 1) - if not mean_only: - self.proj_s = nn.Conv1d(hidden_channels, out_channels, 1) - self.duration_predictor = DurationPredictor( - hidden_channels + c_in_channels, filter_channels_dp, kernel_size, - dropout_p) - - def forward(self, x, x_lengths, g=None): - # pass embedding layer - # [B ,T, D] - x = self.emb(x) - # x += self.pe[:x.shape[1]].unsqueeze(0) - # [B, D, T] - x = torch.transpose(x, 1, -1) - # compute input sequence mask - x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.size(2)), - 1).to(x.dtype) - # pass encoder - for layer in self.encoder: - x = layer(x, x_mask) - # set duration predictor input - if g is not None: - g_exp = g.expand(-1, -1, x.size(-1)) - x_dp = torch.cat([torch.detach(x), g_exp], 1) - else: - x_dp = torch.detach(x) - # pass final projection layer - x_m = self.proj_m(x) * x_mask - if not self.mean_only: - x_logs = self.proj_s(x) * x_mask - else: - x_logs = torch.zeros_like(x_m) - # pass duration predictor - logw = self.duration_predictor(x_dp, x_mask) - return x_m, x_logs, logw, x_mask From 3660c57f1ea7a1fc519ae528c52b7ec3b437b168 Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 17 Sep 2020 03:10:58 +0200 Subject: [PATCH 23/26] time seperable convolution encoder, huber loss for duration predictor --- TTS/tts/layers/glow_tts/duration_predictor.py | 6 +- TTS/tts/layers/glow_tts/encoder.py | 61 ++++++------------- TTS/tts/layers/glow_tts/glow.py | 28 +-------- TTS/tts/layers/losses.py | 18 ++++-- TTS/tts/models/glow_tts.py | 1 + TTS/vocoder/tf/layers/melgan.py | 1 - 6 files changed, 38 insertions(+), 77 deletions(-) diff --git a/TTS/tts/layers/glow_tts/duration_predictor.py b/TTS/tts/layers/glow_tts/duration_predictor.py index 5a321662..9f825832 100644 --- a/TTS/tts/layers/glow_tts/duration_predictor.py +++ b/TTS/tts/layers/glow_tts/duration_predictor.py @@ -1,6 +1,8 @@ import torch from torch import nn +from .normalization import LayerNorm + class DurationPredictor(nn.Module): def __init__(self, in_channels, filter_channels, kernel_size, dropout_p): @@ -16,12 +18,12 @@ class DurationPredictor(nn.Module): filter_channels, kernel_size, padding=kernel_size // 2) - self.norm_1 = nn.GroupNorm(1, filter_channels) + self.norm_1 = LayerNorm(filter_channels) self.conv_2 = nn.Conv1d(filter_channels, filter_channels, kernel_size, padding=kernel_size // 2) - self.norm_2 = nn.GroupNorm(1, filter_channels) + self.norm_2 = LayerNorm(filter_channels) # output layer self.proj = nn.Conv1d(filter_channels, 1, 1) diff --git a/TTS/tts/layers/glow_tts/encoder.py b/TTS/tts/layers/glow_tts/encoder.py index fd5c7140..df0e0462 100644 --- a/TTS/tts/layers/glow_tts/encoder.py +++ b/TTS/tts/layers/glow_tts/encoder.py @@ -3,49 +3,11 @@ import torch from torch import nn from TTS.tts.layers.glow_tts.transformer import Transformer +from TTS.tts.layers.glow_tts.gated_conv import GatedConvBlock from TTS.tts.utils.generic_utils import sequence_mask from TTS.tts.layers.glow_tts.glow import ConvLayerNorm, LayerNorm from TTS.tts.layers.glow_tts.duration_predictor import DurationPredictor - - -class GatedConvBlock(nn.Module): - """Gated convolutional block as in https://arxiv.org/pdf/1612.08083.pdf - Args: - in_out_channels (int): number of input/output channels. - kernel_size (int): convolution kernel size. - dropout_p (float): dropout rate. - """ - def __init__(self, in_out_channels, kernel_size, dropout_p, num_layers): - super().__init__() - # class arguments - self.dropout_p = dropout_p - self.num_layers = num_layers - # define layers - self.conv_layers = nn.ModuleList() - self.norm_layers = nn.ModuleList() - self.layers = nn.ModuleList() - for _ in range(num_layers): - self.conv_layers += [ - nn.Conv1d(in_out_channels, - 2 * in_out_channels, - kernel_size, - padding=kernel_size // 2) - ] - self.norm_layers += [LayerNorm(2 * in_out_channels)] - - def forward(self, x, x_mask): - o = x - res = x - for idx in range(self.num_layers): - o = nn.functional.dropout(o, - p=self.dropout_p, - training=self.training) - o = self.conv_layers[idx](o * x_mask) - o = self.norm_layers[idx](o) - o = nn.functional.glu(o, dim=1) - o = res + o - res = o - return o +from TTS.tts.layers.glow_tts.time_depth_sep_conv import TimeDepthSeparableConvBlock class Encoder(nn.Module): @@ -82,7 +44,7 @@ class Encoder(nn.Module): rel_attn_window_size=None, input_length=None, mean_only=False, - use_prenet=False, + use_prenet=True, c_in_channels=0): super().__init__() # class arguments @@ -127,6 +89,21 @@ class Encoder(nn.Module): kernel_size=5, dropout_p=dropout_p, num_layers=3 + num_layers) + elif encoder_type.lower() == 'time-depth-separable': + # optional convolutional prenet + if use_prenet: + self.pre = ConvLayerNorm(hidden_channels, + hidden_channels, + hidden_channels, + kernel_size=5, + num_layers=3, + dropout_p=0.5) + self.encoder = TimeDepthSeparableConvBlock(hidden_channels, + hidden_channels, + hidden_channels, + kernel_size=5, + num_layers=3 + num_layers) + # final projection layers self.proj_m = nn.Conv1d(hidden_channels, out_channels, 1) if not mean_only: @@ -146,7 +123,7 @@ class Encoder(nn.Module): x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.size(2)), 1).to(x.dtype) # pre-conv layers - if self.encoder_type == 'transformer': + if self.encoder_type in ['transformer', 'time-depth-separable']: if self.use_prenet: x = self.pre(x, x_mask) # encoder diff --git a/TTS/tts/layers/glow_tts/glow.py b/TTS/tts/layers/glow_tts/glow.py index 045909dc..acfc55e5 100644 --- a/TTS/tts/layers/glow_tts/glow.py +++ b/TTS/tts/layers/glow_tts/glow.py @@ -2,31 +2,7 @@ import torch from torch import nn from torch.nn import functional as F - -class LayerNorm(nn.Module): - def __init__(self, channels, eps=1e-4): - """Layer norm for the 2nd dimension of the input. - Args: - channels (int): number of channels (2nd dimension) of the input. - eps (float): to prevent 0 division - - Shapes: - - input: (B, C, T) - - output: (B, C, T) - """ - super().__init__() - self.channels = channels - self.eps = eps - - self.gamma = nn.Parameter(torch.ones(1, channels, 1) * 0.1) - self.beta = nn.Parameter(torch.zeros(1, channels, 1)) - - def forward(self, x): - mean = torch.mean(x, 1, keepdim=True) - variance = torch.mean((x - mean)**2, 1, keepdim=True) - x = (x - mean) * torch.rsqrt(variance + self.eps) - x = x * self.gamma + self.beta - return x +from .normalization import LayerNorm class ConvLayerNorm(nn.Module): @@ -70,7 +46,7 @@ class ConvLayerNorm(nn.Module): x = self.conv_layers[i](x * x_mask) x = self.norm_layers[i](x * x_mask) x = F.dropout(F.relu(x), self.dropout_p, training=self.training) - x = x_org + self.proj(x) + x = x_res + self.proj(x) return x * x_mask diff --git a/TTS/tts/layers/losses.py b/TTS/tts/layers/losses.py index 074da0d7..4bc31d90 100644 --- a/TTS/tts/layers/losses.py +++ b/TTS/tts/layers/losses.py @@ -251,13 +251,19 @@ class GlowTTSLoss(torch.nn.Module): super(GlowTTSLoss, self).__init__() self.constant_factor = 0.5 * math.log(2 * math.pi) - def forward(self, z, means, scales, log_det, y_lengths, o_dur_log, o_attn_dur, x_lengths): + def forward(self, z, means, scales, log_det, y_lengths, o_dur_log, + o_attn_dur, x_lengths): return_dict = {} - # flow loss - pz = torch.sum(scales) + 0.5 * torch.sum(torch.exp(-2 * scales) * (z - means)**2) - log_mle = self.constant_factor + (pz - torch.sum(log_det)) / (torch.sum(y_lengths // 2) * 2 * 80) - # duration loss - loss_dur = torch.sum((o_dur_log - o_attn_dur)**2) / torch.sum(x_lengths) + # flow loss - neg log likelihood + pz = torch.sum(scales) + 0.5 * torch.sum( + torch.exp(-2 * scales) * (z - means)**2) + log_mle = self.constant_factor + (pz - torch.sum(log_det)) / ( + torch.sum(y_lengths // 2) * 2 * z.shape[1]) + # duration loss - MSE + # loss_dur = torch.sum((o_dur_log - o_attn_dur)**2) / torch.sum(x_lengths) + # duration loss - huber loss + loss_dur = torch.nn.functional.smooth_l1_loss( + o_dur_log, o_attn_dur, reduction='sum') / torch.sum(x_lengths) return_dict['loss'] = log_mle + loss_dur return_dict['log_mle'] = log_mle return_dict['loss_dur'] = loss_dur diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index ce0865d2..b7700dfc 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -79,6 +79,7 @@ class GlowTts(nn.Module): kernel_size=kernel_size, dropout_p=dropout_p, mean_only=mean_only, + use_prenet=use_encoder_prenet, c_in_channels=c_in_channels) diff --git a/TTS/vocoder/tf/layers/melgan.py b/TTS/vocoder/tf/layers/melgan.py index f9806579..34b25d65 100644 --- a/TTS/vocoder/tf/layers/melgan.py +++ b/TTS/vocoder/tf/layers/melgan.py @@ -48,7 +48,6 @@ class ResidualStack(tf.keras.layers.Layer): ] def call(self, x): - # breakpoint() for block, shortcut in zip(self.blocks, self.shortcuts): res = shortcut(x) for layer in block: From c008003506dd4d3d58f6b25c5c68a8a036448da8 Mon Sep 17 00:00:00 2001 From: erogol Date: Fri, 18 Sep 2020 12:52:19 +0200 Subject: [PATCH 24/26] do not check sample rate as loading stats file for normalization to enable interpolation for different sample rate vocoder --- .gitignore | 1 + .../layers/glow_tts/monotonic_align/core.c | 24668 ---------------- TTS/tts/models/glow_tts.py | 25 +- TTS/utils/audio.py | 7 +- .../models/fullband_melgan_generator.py | 31 + TTS/vocoder/utils/generic_utils.py | 9 + 6 files changed, 57 insertions(+), 24684 deletions(-) delete mode 100644 TTS/tts/layers/glow_tts/monotonic_align/core.c create mode 100644 TTS/vocoder/models/fullband_melgan_generator.py diff --git a/.gitignore b/.gitignore index b6fee485..579bfbea 100644 --- a/.gitignore +++ b/.gitignore @@ -129,3 +129,4 @@ TODO.txt .vscode/* data/* notebooks/data/* +TTS/tts/layers/glow_tts/monotonic_align/core.c diff --git a/TTS/tts/layers/glow_tts/monotonic_align/core.c b/TTS/tts/layers/glow_tts/monotonic_align/core.c deleted file mode 100644 index 5e58cd6b..00000000 --- a/TTS/tts/layers/glow_tts/monotonic_align/core.c +++ /dev/null @@ -1,24668 +0,0 @@ -/* Generated by Cython 0.29.15 */ - 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#define METH_STACKLESS 0 -#endif -#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL) - #ifndef METH_FASTCALL - #define METH_FASTCALL 0x80 - #endif - typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs); - typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args, - Py_ssize_t nargs, PyObject *kwnames); -#else - #define __Pyx_PyCFunctionFast _PyCFunctionFast - #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords -#endif -#if CYTHON_FAST_PYCCALL -#define __Pyx_PyFastCFunction_Check(func)\ - ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))))) -#else -#define __Pyx_PyFastCFunction_Check(func) 0 -#endif -#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc) - #define PyObject_Malloc(s) PyMem_Malloc(s) - #define PyObject_Free(p) PyMem_Free(p) - #define PyObject_Realloc(p) PyMem_Realloc(p) -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1 - #define PyMem_RawMalloc(n) PyMem_Malloc(n) - #define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n) - #define PyMem_RawFree(p) PyMem_Free(p) -#endif -#if CYTHON_COMPILING_IN_PYSTON - #define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co) - #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno) -#else - #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0) - #define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno) -#endif -#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000 - #define __Pyx_PyThreadState_Current PyThreadState_GET() -#elif PY_VERSION_HEX >= 0x03060000 - #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet() -#elif PY_VERSION_HEX >= 0x03000000 - #define __Pyx_PyThreadState_Current PyThreadState_GET() -#else - #define __Pyx_PyThreadState_Current _PyThreadState_Current -#endif -#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT) -#include "pythread.h" -#define Py_tss_NEEDS_INIT 0 -typedef int Py_tss_t; -static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { - *key = PyThread_create_key(); - return 0; -} -static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { - Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); - *key = Py_tss_NEEDS_INIT; - return key; -} -static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) { - PyObject_Free(key); -} -static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) { - return *key != Py_tss_NEEDS_INIT; -} -static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) { - PyThread_delete_key(*key); - *key = Py_tss_NEEDS_INIT; -} -static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { - return PyThread_set_key_value(*key, value); -} -static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { - return PyThread_get_key_value(*key); -} -#endif -#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) -#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) -#else -#define __Pyx_PyDict_NewPresized(n) PyDict_New() -#endif -#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION - #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) - #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) -#else - #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) - #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS -#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash) -#else -#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name) -#endif -#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND) - #define CYTHON_PEP393_ENABLED 1 - #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\ - 0 : _PyUnicode_Ready((PyObject *)(op))) - #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u) - #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i) - #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u) - #define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u) - #define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u) - #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i) - #define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch) - #define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u))) -#else - #define CYTHON_PEP393_ENABLED 0 - #define PyUnicode_1BYTE_KIND 1 - #define PyUnicode_2BYTE_KIND 2 - #define PyUnicode_4BYTE_KIND 4 - #define __Pyx_PyUnicode_READY(op) (0) - #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u) - #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i])) - #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111) - #define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE)) - #define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u)) - #define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i])) - #define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch) - #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u)) -#endif -#if CYTHON_COMPILING_IN_PYPY - #define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b) - #define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b) -#else - #define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b) - #define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\ - PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b)) -#endif -#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains) - #define PyUnicode_Contains(u, s) PySequence_Contains(u, s) -#endif -#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check) - #define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type) -#endif -#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format) - #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt) -#endif -#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b)) -#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) -#if PY_MAJOR_VERSION >= 3 - #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b) -#else - #define __Pyx_PyString_Format(a, b) PyString_Format(a, b) -#endif -#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII) - #define PyObject_ASCII(o) PyObject_Repr(o) -#endif -#if PY_MAJOR_VERSION >= 3 - #define PyBaseString_Type PyUnicode_Type - #define PyStringObject PyUnicodeObject - #define PyString_Type PyUnicode_Type - #define PyString_Check PyUnicode_Check - #define PyString_CheckExact PyUnicode_CheckExact - #define PyObject_Unicode PyObject_Str -#endif -#if PY_MAJOR_VERSION >= 3 - #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj) - #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj) -#else - #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj)) - #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj)) -#endif -#ifndef PySet_CheckExact - #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type) -#endif -#if CYTHON_ASSUME_SAFE_MACROS - #define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq) -#else - #define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq) -#endif -#if PY_MAJOR_VERSION >= 3 - #define PyIntObject PyLongObject - #define PyInt_Type PyLong_Type - #define PyInt_Check(op) PyLong_Check(op) - #define PyInt_CheckExact(op) PyLong_CheckExact(op) - #define PyInt_FromString PyLong_FromString - #define PyInt_FromUnicode PyLong_FromUnicode - #define PyInt_FromLong PyLong_FromLong - #define PyInt_FromSize_t PyLong_FromSize_t - #define PyInt_FromSsize_t PyLong_FromSsize_t - #define PyInt_AsLong PyLong_AsLong - #define PyInt_AS_LONG PyLong_AS_LONG - #define PyInt_AsSsize_t PyLong_AsSsize_t - #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask - #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask - #define PyNumber_Int PyNumber_Long -#endif -#if PY_MAJOR_VERSION >= 3 - #define PyBoolObject PyLongObject -#endif -#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY - #ifndef PyUnicode_InternFromString - #define PyUnicode_InternFromString(s) PyUnicode_FromString(s) - #endif -#endif -#if PY_VERSION_HEX < 0x030200A4 - typedef long Py_hash_t; - #define __Pyx_PyInt_FromHash_t PyInt_FromLong - #define __Pyx_PyInt_AsHash_t PyInt_AsLong -#else - #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t - #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t -#endif -#if PY_MAJOR_VERSION >= 3 - #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func)) -#else - #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass) -#endif -#if CYTHON_USE_ASYNC_SLOTS - #if PY_VERSION_HEX >= 0x030500B1 - #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods - #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async) - #else - #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved)) - #endif -#else - #define __Pyx_PyType_AsAsync(obj) NULL -#endif -#ifndef __Pyx_PyAsyncMethodsStruct - typedef struct { - unaryfunc am_await; - unaryfunc am_aiter; - unaryfunc am_anext; - } __Pyx_PyAsyncMethodsStruct; -#endif - -#if defined(WIN32) || defined(MS_WINDOWS) - #define _USE_MATH_DEFINES -#endif -#include -#ifdef NAN -#define __PYX_NAN() ((float) NAN) -#else -static CYTHON_INLINE float __PYX_NAN() { - float value; - memset(&value, 0xFF, sizeof(value)); - return value; -} -#endif -#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL) -#define __Pyx_truncl trunc -#else -#define __Pyx_truncl truncl -#endif - - -#define __PYX_ERR(f_index, lineno, Ln_error) \ -{ \ - __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \ -} - -#ifndef __PYX_EXTERN_C - #ifdef __cplusplus - #define __PYX_EXTERN_C extern "C" - #else - #define __PYX_EXTERN_C extern - #endif -#endif - -#define __PYX_HAVE__TTS__tts__layers__glow_tts__monotonic_align__core -#define __PYX_HAVE_API__TTS__tts__layers__glow_tts__monotonic_align__core -/* Early includes */ -#include -#include -#include "numpy/arrayobject.h" -#include "numpy/ufuncobject.h" -#include "pythread.h" -#include -#include "pystate.h" -#ifdef _OPENMP -#include -#endif /* _OPENMP */ - -#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS) -#define CYTHON_WITHOUT_ASSERTIONS -#endif - -typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding; - const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; - -#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 -#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0 -#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8) -#define __PYX_DEFAULT_STRING_ENCODING "" -#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString -#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize -#define __Pyx_uchar_cast(c) ((unsigned char)c) -#define __Pyx_long_cast(x) ((long)x) -#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\ - (sizeof(type) < sizeof(Py_ssize_t)) ||\ - (sizeof(type) > sizeof(Py_ssize_t) &&\ - likely(v < (type)PY_SSIZE_T_MAX ||\ - v == (type)PY_SSIZE_T_MAX) &&\ - (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\ - v == (type)PY_SSIZE_T_MIN))) ||\ - (sizeof(type) == sizeof(Py_ssize_t) &&\ - (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ - v == (type)PY_SSIZE_T_MAX))) ) -static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) { - return (size_t) i < (size_t) limit; -} -#if defined (__cplusplus) && __cplusplus >= 201103L - #include - #define __Pyx_sst_abs(value) std::abs(value) -#elif SIZEOF_INT >= SIZEOF_SIZE_T - #define __Pyx_sst_abs(value) abs(value) -#elif SIZEOF_LONG >= SIZEOF_SIZE_T - #define __Pyx_sst_abs(value) labs(value) -#elif defined (_MSC_VER) - #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value)) -#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L - #define __Pyx_sst_abs(value) llabs(value) -#elif defined (__GNUC__) - #define __Pyx_sst_abs(value) __builtin_llabs(value) -#else - #define __Pyx_sst_abs(value) ((value<0) ? -value : value) -#endif -static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*); -static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); -#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s)) -#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) -#define __Pyx_PyBytes_FromString PyBytes_FromString -#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); -#if PY_MAJOR_VERSION < 3 - #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString - #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize -#else - #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString - #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize -#endif -#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) -#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) -#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) -#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s) -#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) -static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { - const Py_UNICODE *u_end = u; - while (*u_end++) ; - return (size_t)(u_end - u - 1); -} -#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) -#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode -#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode -#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj) -#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) -static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b); -static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); -static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*); -static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); -#define __Pyx_PySequence_Tuple(obj)\ - (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj)) -static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); -static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); -#if CYTHON_ASSUME_SAFE_MACROS -#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) -#else -#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) -#endif -#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) -#if PY_MAJOR_VERSION >= 3 -#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) -#else -#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) -#endif -#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x)) -#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII -static int __Pyx_sys_getdefaultencoding_not_ascii; -static int __Pyx_init_sys_getdefaultencoding_params(void) { - PyObject* sys; - PyObject* default_encoding = NULL; - PyObject* ascii_chars_u = NULL; - PyObject* ascii_chars_b = NULL; - const char* default_encoding_c; - sys = PyImport_ImportModule("sys"); - if (!sys) goto bad; - default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); - Py_DECREF(sys); - if (!default_encoding) goto bad; - default_encoding_c = PyBytes_AsString(default_encoding); - if (!default_encoding_c) goto bad; - if (strcmp(default_encoding_c, "ascii") == 0) { - __Pyx_sys_getdefaultencoding_not_ascii = 0; - } else { - char ascii_chars[128]; - int c; - for (c = 0; c < 128; c++) { - ascii_chars[c] = c; - } - __Pyx_sys_getdefaultencoding_not_ascii = 1; - ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); - if (!ascii_chars_u) goto bad; - ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); - if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { - PyErr_Format( - PyExc_ValueError, - "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", - default_encoding_c); - goto bad; - } - Py_DECREF(ascii_chars_u); - Py_DECREF(ascii_chars_b); - } - Py_DECREF(default_encoding); - return 0; -bad: - Py_XDECREF(default_encoding); - Py_XDECREF(ascii_chars_u); - Py_XDECREF(ascii_chars_b); - return -1; -} -#endif -#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 -#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) -#else -#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) -#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT -static char* __PYX_DEFAULT_STRING_ENCODING; -static int __Pyx_init_sys_getdefaultencoding_params(void) { - PyObject* sys; - PyObject* default_encoding = NULL; - char* default_encoding_c; - sys = PyImport_ImportModule("sys"); - if (!sys) goto bad; - default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); - Py_DECREF(sys); - if (!default_encoding) goto bad; - default_encoding_c = PyBytes_AsString(default_encoding); - if (!default_encoding_c) goto bad; - __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1); - if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; - strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); - Py_DECREF(default_encoding); - return 0; -bad: - Py_XDECREF(default_encoding); - return -1; -} -#endif -#endif - - -/* Test for GCC > 2.95 */ -#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) - #define likely(x) __builtin_expect(!!(x), 1) - #define unlikely(x) __builtin_expect(!!(x), 0) -#else /* !__GNUC__ or GCC < 2.95 */ - #define likely(x) (x) - #define unlikely(x) (x) -#endif /* __GNUC__ */ -static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; } - -static PyObject *__pyx_m = NULL; -static PyObject *__pyx_d; -static PyObject *__pyx_b; -static PyObject *__pyx_cython_runtime = NULL; -static PyObject *__pyx_empty_tuple; -static PyObject *__pyx_empty_bytes; -static PyObject *__pyx_empty_unicode; -static int __pyx_lineno; -static int __pyx_clineno = 0; -static const char * __pyx_cfilenm= __FILE__; -static const char *__pyx_filename; - -/* Header.proto */ -#if !defined(CYTHON_CCOMPLEX) - #if defined(__cplusplus) - #define CYTHON_CCOMPLEX 1 - #elif defined(_Complex_I) - #define CYTHON_CCOMPLEX 1 - #else - #define CYTHON_CCOMPLEX 0 - #endif -#endif -#if CYTHON_CCOMPLEX - #ifdef __cplusplus - #include - #else - #include - #endif -#endif -#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__) - #undef _Complex_I - #define _Complex_I 1.0fj -#endif - - -static const char *__pyx_f[] = { - "core.pyx", - "__init__.pxd", - "stringsource", - "type.pxd", -}; -/* NoFastGil.proto */ -#define __Pyx_PyGILState_Ensure PyGILState_Ensure -#define __Pyx_PyGILState_Release PyGILState_Release -#define __Pyx_FastGIL_Remember() -#define __Pyx_FastGIL_Forget() -#define __Pyx_FastGilFuncInit() - -/* MemviewSliceStruct.proto */ -struct __pyx_memoryview_obj; -typedef struct { - struct __pyx_memoryview_obj *memview; - char *data; - Py_ssize_t shape[8]; - Py_ssize_t strides[8]; - Py_ssize_t suboffsets[8]; -} __Pyx_memviewslice; -#define __Pyx_MemoryView_Len(m) (m.shape[0]) - -/* Atomics.proto */ -#include -#ifndef CYTHON_ATOMICS - #define CYTHON_ATOMICS 1 -#endif -#define __pyx_atomic_int_type int -#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\ - (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\ - !defined(__i386__) - #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) - #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) - #ifdef __PYX_DEBUG_ATOMICS - #warning "Using GNU atomics" - #endif -#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0 - #include - #undef __pyx_atomic_int_type - #define __pyx_atomic_int_type LONG - #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) - #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) - #ifdef __PYX_DEBUG_ATOMICS - #pragma message ("Using MSVC atomics") - #endif -#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 - #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) - #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) - #ifdef __PYX_DEBUG_ATOMICS - #warning "Using Intel atomics" - #endif -#else - #undef CYTHON_ATOMICS - #define CYTHON_ATOMICS 0 - #ifdef __PYX_DEBUG_ATOMICS - #warning "Not using atomics" - #endif -#endif -typedef volatile __pyx_atomic_int_type __pyx_atomic_int; 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- int flags; -} __Pyx_TypeInfo; -typedef struct __Pyx_StructField_ { - __Pyx_TypeInfo* type; - const char* name; - size_t offset; -} __Pyx_StructField; -typedef struct { - __Pyx_StructField* field; - size_t parent_offset; -} __Pyx_BufFmt_StackElem; -typedef struct { - __Pyx_StructField root; - __Pyx_BufFmt_StackElem* head; - size_t fmt_offset; - size_t new_count, enc_count; - size_t struct_alignment; - int is_complex; - char enc_type; - char new_packmode; - char enc_packmode; - char is_valid_array; -} __Pyx_BufFmt_Context; - - -/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 - * # in Cython to enable them only on the right systems. - * - * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< - * ctypedef npy_int16 int16_t - * ctypedef npy_int32 int32_t - */ -typedef npy_int8 __pyx_t_5numpy_int8_t; - -/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 - * - * ctypedef npy_int8 int8_t - * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< - * ctypedef npy_int32 int32_t - * ctypedef npy_int64 int64_t - */ -typedef npy_int16 __pyx_t_5numpy_int16_t; 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- -/* "../../../../../../../miniconda3/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 - * ctypedef npy_double float_t - * ctypedef npy_double double_t - * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< - * - * ctypedef npy_cfloat cfloat_t - */ -typedef npy_longdouble __pyx_t_5numpy_longdouble_t; -/* Declarations.proto */ -#if CYTHON_CCOMPLEX - #ifdef __cplusplus - typedef ::std::complex< float > __pyx_t_float_complex; - #else - typedef float _Complex __pyx_t_float_complex; - #endif -#else - typedef struct { float real, imag; } __pyx_t_float_complex; -#endif -static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); - -/* Declarations.proto */ -#if CYTHON_CCOMPLEX - #ifdef __cplusplus - typedef ::std::complex< double > __pyx_t_double_complex; - #else - typedef double _Complex __pyx_t_double_complex; - #endif -#else - typedef struct { double real, imag; } __pyx_t_double_complex; -#endif -static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); 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__Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ - __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} -#define __Pyx_GetModuleGlobalNameUncached(var, name) {\ - PY_UINT64_T __pyx_dict_version;\ - PyObject *__pyx_dict_cached_value;\ - (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); -#else -#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) -#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); -#endif - -/* SwapException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#else -static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); -#endif - -/* Import.proto */ -static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); - -/* FastTypeChecks.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); -#else -#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) -#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) -#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2)) -#endif -#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) - -static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ -/* ListCompAppend.proto */ -#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS -static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { - PyListObject* L = (PyListObject*) list; - Py_ssize_t len = Py_SIZE(list); - if (likely(L->allocated > len)) { - Py_INCREF(x); - PyList_SET_ITEM(list, len, x); - Py_SIZE(list) = len+1; - return 0; - } - return PyList_Append(list, x); -} -#else -#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) -#endif - -/* PyIntBinop.proto */ -#if !CYTHON_COMPILING_IN_PYPY -static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); -#else -#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\ - (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2)) -#endif - -/* ListExtend.proto */ -static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) { -#if CYTHON_COMPILING_IN_CPYTHON - PyObject* none = _PyList_Extend((PyListObject*)L, v); - if (unlikely(!none)) - return -1; - Py_DECREF(none); - return 0; -#else - return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v); -#endif -} - -/* ListAppend.proto */ -#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS -static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { - PyListObject* L = (PyListObject*) list; - Py_ssize_t len = Py_SIZE(list); - if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { - Py_INCREF(x); - PyList_SET_ITEM(list, len, x); - Py_SIZE(list) = len+1; - return 0; - } - return PyList_Append(list, x); -} -#else -#define __Pyx_PyList_Append(L,x) PyList_Append(L,x) -#endif - -/* None.proto */ -static CYTHON_INLINE long __Pyx_div_long(long, long); - -/* ImportFrom.proto */ -static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name); - -/* HasAttr.proto */ -static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *); - -/* PyObject_GenericGetAttrNoDict.proto */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name); -#else -#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr -#endif - -/* PyObject_GenericGetAttr.proto */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name); -#else -#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr -#endif - -/* SetVTable.proto */ -static int __Pyx_SetVtable(PyObject *dict, void *vtable); - -/* SetupReduce.proto */ -static int __Pyx_setup_reduce(PyObject* type_obj); - -/* TypeImport.proto */ -#ifndef __PYX_HAVE_RT_ImportType_proto -#define __PYX_HAVE_RT_ImportType_proto -enum __Pyx_ImportType_CheckSize { - __Pyx_ImportType_CheckSize_Error = 0, - __Pyx_ImportType_CheckSize_Warn = 1, - __Pyx_ImportType_CheckSize_Ignore = 2 -}; -static PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size); -#endif - -/* CLineInTraceback.proto */ -#ifdef CYTHON_CLINE_IN_TRACEBACK -#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) -#else -static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line); -#endif - -/* CodeObjectCache.proto */ -typedef struct { - PyCodeObject* code_object; - int code_line; -} __Pyx_CodeObjectCacheEntry; -struct __Pyx_CodeObjectCache { - int count; - int max_count; - __Pyx_CodeObjectCacheEntry* entries; -}; -static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); -static PyCodeObject *__pyx_find_code_object(int code_line); -static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); - -/* AddTraceback.proto */ -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename); - -#if PY_MAJOR_VERSION < 3 - static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); - static void __Pyx_ReleaseBuffer(Py_buffer *view); -#else - #define __Pyx_GetBuffer PyObject_GetBuffer - #define __Pyx_ReleaseBuffer PyBuffer_Release -#endif - - -/* BufferStructDeclare.proto */ -typedef struct { - Py_ssize_t shape, strides, suboffsets; -} __Pyx_Buf_DimInfo; -typedef struct { - size_t refcount; - Py_buffer pybuffer; -} __Pyx_Buffer; -typedef struct { - __Pyx_Buffer *rcbuffer; - char *data; - __Pyx_Buf_DimInfo diminfo[8]; -} __Pyx_LocalBuf_ND; - -/* MemviewSliceIsContig.proto */ -static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); - -/* OverlappingSlices.proto */ -static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, - __Pyx_memviewslice *slice2, - int ndim, size_t itemsize); - -/* Capsule.proto */ -static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); - -/* IsLittleEndian.proto */ -static CYTHON_INLINE int __Pyx_Is_Little_Endian(void); - -/* BufferFormatCheck.proto */ -static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); -static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, - __Pyx_BufFmt_StackElem* stack, - __Pyx_TypeInfo* type); - -/* TypeInfoCompare.proto */ -static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); - -/* MemviewSliceValidateAndInit.proto */ -static int __Pyx_ValidateAndInit_memviewslice( - int *axes_specs, - int c_or_f_flag, - int buf_flags, - int ndim, - __Pyx_TypeInfo *dtype, - __Pyx_BufFmt_StackElem stack[], - __Pyx_memviewslice *memviewslice, - PyObject *original_obj); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_int(PyObject *, int writable_flag); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_float(PyObject *, int writable_flag); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag); - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); - -/* RealImag.proto */ -#if CYTHON_CCOMPLEX - #ifdef __cplusplus - #define __Pyx_CREAL(z) ((z).real()) - #define __Pyx_CIMAG(z) ((z).imag()) - #else - #define __Pyx_CREAL(z) (__real__(z)) - #define __Pyx_CIMAG(z) (__imag__(z)) - #endif -#else - #define __Pyx_CREAL(z) ((z).real) - #define __Pyx_CIMAG(z) ((z).imag) -#endif -#if defined(__cplusplus) && CYTHON_CCOMPLEX\ - && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) - #define __Pyx_SET_CREAL(z,x) ((z).real(x)) - #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) -#else - #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) - #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) -#endif - -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX - #define __Pyx_c_eq_float(a, b) ((a)==(b)) - #define __Pyx_c_sum_float(a, b) ((a)+(b)) - #define __Pyx_c_diff_float(a, b) ((a)-(b)) - #define __Pyx_c_prod_float(a, b) ((a)*(b)) - #define __Pyx_c_quot_float(a, b) ((a)/(b)) - #define __Pyx_c_neg_float(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_float(z) ((z)==(float)0) - #define __Pyx_c_conj_float(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_float(z) (::std::abs(z)) - #define __Pyx_c_pow_float(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_float(z) ((z)==0) - #define __Pyx_c_conj_float(z) (conjf(z)) - #if 1 - #define __Pyx_c_abs_float(z) (cabsf(z)) - #define __Pyx_c_pow_float(a, b) (cpowf(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex); - #if 1 - static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex); - #endif -#endif - -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX - #define __Pyx_c_eq_double(a, b) ((a)==(b)) - #define __Pyx_c_sum_double(a, b) ((a)+(b)) - #define __Pyx_c_diff_double(a, b) ((a)-(b)) - #define __Pyx_c_prod_double(a, b) ((a)*(b)) - #define __Pyx_c_quot_double(a, b) ((a)/(b)) - #define __Pyx_c_neg_double(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_double(z) ((z)==(double)0) - #define __Pyx_c_conj_double(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_double(z) (::std::abs(z)) - #define __Pyx_c_pow_double(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_double(z) ((z)==0) - #define __Pyx_c_conj_double(z) (conj(z)) - #if 1 - #define __Pyx_c_abs_double(z) (cabs(z)) - #define __Pyx_c_pow_double(a, b) (cpow(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex); - #if 1 - static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex); - #endif -#endif - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value); - -/* MemviewSliceCopyTemplate.proto */ -static __Pyx_memviewslice -__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, - const char *mode, int ndim, - size_t sizeof_dtype, int contig_flag, - int dtype_is_object); - -/* CIntFromPy.proto */ -static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); - -/* CIntFromPy.proto */ -static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); - -/* CIntFromPy.proto */ -static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); - -/* CheckBinaryVersion.proto */ -static int __Pyx_check_binary_version(void); - -/* InitStrings.proto */ -static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); - -static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ -static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ -static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ -static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ -static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ -static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ -static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ - -/* Module declarations from 'cpython.buffer' */ - -/* Module declarations from 'libc.string' */ - -/* Module declarations from 'libc.stdio' */ - -/* Module declarations from '__builtin__' */ - -/* Module declarations from 'cpython.type' */ -static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; - -/* Module declarations from 'cpython' */ - -/* Module declarations from 'cpython.object' */ - -/* Module declarations from 'cpython.ref' */ - -/* Module declarations from 'cpython.mem' */ - -/* Module declarations from 'numpy' */ - -/* Module declarations from 'numpy' */ -static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; -static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; -static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; -static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; -static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; -static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ - -/* Module declarations from 'cython.view' */ - -/* Module declarations from 'cython' */ - -/* Module declarations from 'TTS.tts.layers.glow_tts.monotonic_align.core' */ -static PyTypeObject *__pyx_array_type = 0; -static PyTypeObject *__pyx_MemviewEnum_type = 0; -static PyTypeObject *__pyx_memoryview_type = 0; -static PyTypeObject *__pyx_memoryviewslice_type = 0; -static PyObject *generic = 0; -static PyObject *strided = 0; -static PyObject *indirect = 0; -static PyObject *contiguous = 0; -static PyObject *indirect_contiguous = 0; -static int __pyx_memoryview_thread_locks_used; -static PyThread_type_lock __pyx_memoryview_thread_locks[8]; -static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_each(__Pyx_memviewslice, __Pyx_memviewslice, int, int, float); /*proto*/ -static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_c(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int __pyx_skip_dispatch, struct __pyx_opt_args_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_c *__pyx_optional_args); /*proto*/ -static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ -static void *__pyx_align_pointer(void *, size_t); /*proto*/ -static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ -static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ -static PyObject *_unellipsify(PyObject *, int); /*proto*/ -static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ -static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ -static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ -static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ -static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ -static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ -static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ -static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ -static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ -static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ -static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ -static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ -static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ -static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ -static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ -static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ -static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ -static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ -static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ -static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ -static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ -static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ -static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ -static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ -static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/ -static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 }; -static __Pyx_TypeInfo __Pyx_TypeInfo_float = { "float", NULL, sizeof(float), { 0 }, 0, 'R', 0, 0 }; -#define __Pyx_MODULE_NAME "TTS.tts.layers.glow_tts.monotonic_align.core" -extern int __pyx_module_is_main_TTS__tts__layers__glow_tts__monotonic_align__core; -int __pyx_module_is_main_TTS__tts__layers__glow_tts__monotonic_align__core = 0; - -/* Implementation of 'TTS.tts.layers.glow_tts.monotonic_align.core' */ -static PyObject *__pyx_builtin_range; -static PyObject *__pyx_builtin_ValueError; -static PyObject *__pyx_builtin_RuntimeError; -static PyObject *__pyx_builtin_ImportError; -static PyObject *__pyx_builtin_MemoryError; -static PyObject *__pyx_builtin_enumerate; -static PyObject *__pyx_builtin_TypeError; -static PyObject *__pyx_builtin_Ellipsis; -static PyObject *__pyx_builtin_id; -static PyObject *__pyx_builtin_IndexError; -static const char __pyx_k_O[] = "O"; -static const char __pyx_k_c[] = "c"; -static const char __pyx_k_id[] = "id"; -static const char __pyx_k_np[] = "np"; -static const char __pyx_k_new[] = "__new__"; -static const char __pyx_k_obj[] = "obj"; -static const char __pyx_k_base[] = "base"; -static const char __pyx_k_dict[] = "__dict__"; -static const char __pyx_k_main[] = "__main__"; -static const char __pyx_k_mode[] = "mode"; -static const char __pyx_k_name[] = "name"; -static const char __pyx_k_ndim[] = "ndim"; -static const char __pyx_k_pack[] = "pack"; -static const char __pyx_k_size[] = "size"; -static const char __pyx_k_step[] = "step"; -static const char __pyx_k_stop[] = "stop"; -static const char __pyx_k_t_xs[] = "t_xs"; -static const char __pyx_k_t_ys[] = "t_ys"; -static const char __pyx_k_test[] = "__test__"; -static const char __pyx_k_ASCII[] = "ASCII"; -static const char __pyx_k_class[] = "__class__"; -static const char __pyx_k_error[] = "error"; -static const char __pyx_k_flags[] = "flags"; -static const char __pyx_k_numpy[] = "numpy"; -static const char __pyx_k_paths[] = "paths"; -static const char __pyx_k_range[] = "range"; -static const char __pyx_k_shape[] = "shape"; -static const char __pyx_k_start[] = "start"; -static const char __pyx_k_encode[] = "encode"; -static const char __pyx_k_format[] = "format"; -static const char __pyx_k_import[] = "__import__"; -static const char __pyx_k_name_2[] = "__name__"; -static const char __pyx_k_pickle[] = "pickle"; -static const char __pyx_k_reduce[] = "__reduce__"; -static const char __pyx_k_struct[] = "struct"; -static const char __pyx_k_unpack[] = "unpack"; -static const char __pyx_k_update[] = "update"; -static const char __pyx_k_values[] = "values"; -static const char __pyx_k_fortran[] = "fortran"; -static const char __pyx_k_memview[] = "memview"; -static const char __pyx_k_Ellipsis[] = "Ellipsis"; -static const char __pyx_k_getstate[] = "__getstate__"; -static const char __pyx_k_itemsize[] = "itemsize"; -static const char __pyx_k_pyx_type[] = "__pyx_type"; -static const char __pyx_k_setstate[] = "__setstate__"; -static const char __pyx_k_TypeError[] = "TypeError"; -static const char __pyx_k_enumerate[] = "enumerate"; -static const char __pyx_k_pyx_state[] = "__pyx_state"; -static const char __pyx_k_reduce_ex[] = "__reduce_ex__"; -static const char __pyx_k_IndexError[] = "IndexError"; -static const char __pyx_k_ValueError[] = "ValueError"; -static const char __pyx_k_pyx_result[] = "__pyx_result"; -static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; -static const char __pyx_k_ImportError[] = "ImportError"; -static const char __pyx_k_MemoryError[] = "MemoryError"; -static const char __pyx_k_PickleError[] = "PickleError"; -static const char __pyx_k_max_neg_val[] = "max_neg_val"; -static const char __pyx_k_RuntimeError[] = "RuntimeError"; -static const char __pyx_k_pyx_checksum[] = "__pyx_checksum"; -static const char __pyx_k_stringsource[] = "stringsource"; -static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer"; -static const char __pyx_k_reduce_cython[] = "__reduce_cython__"; -static const char __pyx_k_View_MemoryView[] = "View.MemoryView"; -static const char __pyx_k_allocate_buffer[] = "allocate_buffer"; -static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; -static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError"; -static const char __pyx_k_setstate_cython[] = "__setstate_cython__"; -static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum"; -static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; -static const char __pyx_k_strided_and_direct[] = ""; -static const char __pyx_k_strided_and_indirect[] = ""; -static const char __pyx_k_contiguous_and_direct[] = ""; -static const char __pyx_k_MemoryView_of_r_object[] = ""; -static const char __pyx_k_MemoryView_of_r_at_0x_x[] = ""; -static const char __pyx_k_contiguous_and_indirect[] = ""; -static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'"; -static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d."; -static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array"; -static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous"; -static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data."; -static const char __pyx_k_strided_and_direct_or_indirect[] = ""; -static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import"; -static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)"; -static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides"; -static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory."; -static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview"; -static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview"; -static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array"; -static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd"; -static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))"; -static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported"; -static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s"; -static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported"; -static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)"; -static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object"; -static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)"; -static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous"; -static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__"; -static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import"; -static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides."; -static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short."; -static PyObject *__pyx_n_s_ASCII; -static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri; -static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is; -static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor; -static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi; -static PyObject *__pyx_kp_s_Cannot_index_with_type_s; -static PyObject *__pyx_n_s_Ellipsis; -static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr; -static PyObject *__pyx_kp_u_Format_string_allocated_too_shor; -static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2; -static PyObject *__pyx_n_s_ImportError; -static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0; -static PyObject *__pyx_n_s_IndexError; -static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte; -static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr; 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-static PyObject *__pyx_n_s_encode; -static PyObject *__pyx_n_s_enumerate; -static PyObject *__pyx_n_s_error; -static PyObject *__pyx_n_s_flags; -static PyObject *__pyx_n_s_format; -static PyObject *__pyx_n_s_fortran; -static PyObject *__pyx_n_u_fortran; -static PyObject *__pyx_n_s_getstate; -static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi; -static PyObject *__pyx_n_s_id; -static PyObject *__pyx_n_s_import; -static PyObject *__pyx_n_s_itemsize; -static PyObject *__pyx_kp_s_itemsize_0_for_cython_array; -static PyObject *__pyx_n_s_main; -static PyObject *__pyx_n_s_max_neg_val; -static PyObject *__pyx_n_s_memview; -static PyObject *__pyx_n_s_mode; -static PyObject *__pyx_n_s_name; -static PyObject *__pyx_n_s_name_2; -static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous; -static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou; -static PyObject *__pyx_n_s_ndim; -static PyObject *__pyx_n_s_new; -static PyObject *__pyx_kp_s_no_default___reduce___due_to_non; -static PyObject *__pyx_n_s_np; -static PyObject *__pyx_n_s_numpy; -static PyObject *__pyx_kp_s_numpy_core_multiarray_failed_to; -static PyObject *__pyx_kp_s_numpy_core_umath_failed_to_impor; -static PyObject *__pyx_n_s_obj; -static PyObject *__pyx_n_s_pack; -static PyObject *__pyx_n_s_paths; -static PyObject *__pyx_n_s_pickle; -static PyObject *__pyx_n_s_pyx_PickleError; -static PyObject *__pyx_n_s_pyx_checksum; -static PyObject *__pyx_n_s_pyx_getbuffer; -static PyObject *__pyx_n_s_pyx_result; -static PyObject *__pyx_n_s_pyx_state; -static PyObject *__pyx_n_s_pyx_type; -static PyObject *__pyx_n_s_pyx_unpickle_Enum; -static PyObject *__pyx_n_s_pyx_vtable; -static PyObject *__pyx_n_s_range; -static PyObject *__pyx_n_s_reduce; -static PyObject *__pyx_n_s_reduce_cython; -static PyObject *__pyx_n_s_reduce_ex; -static PyObject *__pyx_n_s_setstate; -static PyObject *__pyx_n_s_setstate_cython; -static PyObject *__pyx_n_s_shape; -static PyObject *__pyx_n_s_size; -static PyObject *__pyx_n_s_start; -static PyObject *__pyx_n_s_step; -static PyObject *__pyx_n_s_stop; -static PyObject *__pyx_kp_s_strided_and_direct; -static PyObject *__pyx_kp_s_strided_and_direct_or_indirect; -static PyObject *__pyx_kp_s_strided_and_indirect; -static PyObject *__pyx_kp_s_stringsource; -static PyObject *__pyx_n_s_struct; -static PyObject *__pyx_n_s_t_xs; -static PyObject *__pyx_n_s_t_ys; -static PyObject *__pyx_n_s_test; -static PyObject *__pyx_kp_s_unable_to_allocate_array_data; -static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str; -static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd; -static PyObject *__pyx_n_s_unpack; -static PyObject *__pyx_n_s_update; -static PyObject *__pyx_n_s_values; -static PyObject *__pyx_pf_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_c(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_paths, __Pyx_memviewslice __pyx_v_values, __Pyx_memviewslice __pyx_v_t_xs, __Pyx_memviewslice __pyx_v_t_ys, float __pyx_v_max_neg_val); /* proto */ -static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ -static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ -static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ -static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ -static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ -static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ -static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */ -static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ -static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ -static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ -static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ -static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state); /* proto */ -static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ -static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ -static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ -static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ -static PyObject *__pyx_int_0; -static PyObject *__pyx_int_1; -static PyObject *__pyx_int_184977713; -static PyObject *__pyx_int_neg_1; -static float __pyx_k_; -static PyObject *__pyx_tuple__2; -static PyObject *__pyx_tuple__3; -static PyObject *__pyx_tuple__4; -static PyObject *__pyx_tuple__5; -static PyObject *__pyx_tuple__6; -static PyObject *__pyx_tuple__7; -static PyObject *__pyx_tuple__8; -static PyObject *__pyx_tuple__9; -static PyObject *__pyx_slice__23; -static PyObject *__pyx_tuple__10; -static PyObject *__pyx_tuple__11; -static PyObject *__pyx_tuple__12; -static PyObject *__pyx_tuple__13; -static PyObject *__pyx_tuple__14; -static PyObject *__pyx_tuple__15; -static PyObject *__pyx_tuple__16; -static PyObject *__pyx_tuple__17; -static PyObject *__pyx_tuple__18; -static PyObject *__pyx_tuple__19; -static PyObject *__pyx_tuple__20; -static PyObject *__pyx_tuple__21; -static PyObject *__pyx_tuple__22; -static PyObject *__pyx_tuple__24; -static PyObject *__pyx_tuple__25; -static PyObject *__pyx_tuple__26; -static PyObject *__pyx_tuple__27; -static PyObject *__pyx_tuple__28; -static PyObject *__pyx_tuple__29; -static PyObject *__pyx_tuple__30; -static PyObject *__pyx_tuple__31; -static PyObject *__pyx_tuple__32; -static PyObject *__pyx_codeobj__33; -/* Late includes */ - -/* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":9 - * @cython.boundscheck(False) - * @cython.wraparound(False) - * cdef void maximum_path_each(int[:,::1] path, float[:,::1] value, int t_x, int t_y, float max_neg_val) nogil: # <<<<<<<<<<<<<< - * cdef int x - * cdef int y - */ - -static void __pyx_f_3TTS_3tts_6layers_8glow_tts_15monotonic_align_4core_maximum_path_each(__Pyx_memviewslice __pyx_v_path, __Pyx_memviewslice __pyx_v_value, int __pyx_v_t_x, int __pyx_v_t_y, float __pyx_v_max_neg_val) { - int __pyx_v_x; - int __pyx_v_y; - float __pyx_v_v_prev; - float __pyx_v_v_cur; - int __pyx_v_index; - int __pyx_t_1; - int __pyx_t_2; - int __pyx_t_3; - long __pyx_t_4; - int __pyx_t_5; - long __pyx_t_6; - long __pyx_t_7; - int __pyx_t_8; - Py_ssize_t __pyx_t_9; - Py_ssize_t __pyx_t_10; - Py_ssize_t __pyx_t_11; - Py_ssize_t __pyx_t_12; - float __pyx_t_13; - float __pyx_t_14; - float __pyx_t_15; - Py_ssize_t __pyx_t_16; - Py_ssize_t __pyx_t_17; - Py_ssize_t __pyx_t_18; - Py_ssize_t __pyx_t_19; - Py_ssize_t __pyx_t_20; - Py_ssize_t __pyx_t_21; - int __pyx_t_22; - Py_ssize_t __pyx_t_23; - Py_ssize_t __pyx_t_24; - Py_ssize_t __pyx_t_25; - Py_ssize_t __pyx_t_26; - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":15 - * cdef float v_cur - * cdef float tmp - * cdef int index = t_x - 1 # <<<<<<<<<<<<<< - * - * for y in range(t_y): - */ - __pyx_v_index = (__pyx_v_t_x - 1); - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":17 - * cdef int index = t_x - 1 - * - * for y in range(t_y): # <<<<<<<<<<<<<< - * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): - * if x == y: - */ - __pyx_t_1 = __pyx_v_t_y; - __pyx_t_2 = __pyx_t_1; - for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { - __pyx_v_y = __pyx_t_3; - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":18 - * - * for y in range(t_y): - * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): # <<<<<<<<<<<<<< - * if x == y: - * v_cur = max_neg_val - */ - __pyx_t_4 = (__pyx_v_y + 1); - __pyx_t_5 = __pyx_v_t_x; - if (((__pyx_t_4 < __pyx_t_5) != 0)) { - __pyx_t_6 = __pyx_t_4; - } else { - __pyx_t_6 = __pyx_t_5; - } - __pyx_t_4 = __pyx_t_6; - __pyx_t_5 = ((__pyx_v_t_x + __pyx_v_y) - __pyx_v_t_y); - __pyx_t_6 = 0; - if (((__pyx_t_5 > __pyx_t_6) != 0)) { - __pyx_t_7 = __pyx_t_5; - } else { - __pyx_t_7 = __pyx_t_6; - } - __pyx_t_6 = __pyx_t_4; - for (__pyx_t_5 = __pyx_t_7; __pyx_t_5 < __pyx_t_6; __pyx_t_5+=1) { - __pyx_v_x = __pyx_t_5; - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":19 - * for y in range(t_y): - * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): - * if x == y: # <<<<<<<<<<<<<< - * v_cur = max_neg_val - * else: - */ - __pyx_t_8 = ((__pyx_v_x == __pyx_v_y) != 0); - if (__pyx_t_8) { - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":20 - * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): - * if x == y: - * v_cur = max_neg_val # <<<<<<<<<<<<<< - * else: - * v_cur = value[x, y-1] - */ - __pyx_v_v_cur = __pyx_v_max_neg_val; - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":19 - * for y in range(t_y): - * for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): - * if x == y: # <<<<<<<<<<<<<< - * v_cur = max_neg_val - * else: - */ - goto __pyx_L7; - } - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":22 - * v_cur = max_neg_val - * else: - * v_cur = value[x, y-1] # <<<<<<<<<<<<<< - * if x == 0: - * if y == 0: - */ - /*else*/ { - __pyx_t_9 = __pyx_v_x; - __pyx_t_10 = (__pyx_v_y - 1); - __pyx_v_v_cur = (*((float *) ( /* dim=1 */ ((char *) (((float *) ( /* dim=0 */ (__pyx_v_value.data + __pyx_t_9 * __pyx_v_value.strides[0]) )) + __pyx_t_10)) ))); - } - __pyx_L7:; - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":23 - * else: - * v_cur = value[x, y-1] - * if x == 0: # <<<<<<<<<<<<<< - * if y == 0: - * v_prev = 0. - */ - __pyx_t_8 = ((__pyx_v_x == 0) != 0); - if (__pyx_t_8) { - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":24 - * v_cur = value[x, y-1] - * if x == 0: - * if y == 0: # <<<<<<<<<<<<<< - * v_prev = 0. - * else: - */ - __pyx_t_8 = ((__pyx_v_y == 0) != 0); - if (__pyx_t_8) { - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":25 - * if x == 0: - * if y == 0: - * v_prev = 0. # <<<<<<<<<<<<<< - * else: - * v_prev = max_neg_val - */ - __pyx_v_v_prev = 0.; - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":24 - * v_cur = value[x, y-1] - * if x == 0: - * if y == 0: # <<<<<<<<<<<<<< - * v_prev = 0. - * else: - */ - goto __pyx_L9; - } - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":27 - * v_prev = 0. - * else: - * v_prev = max_neg_val # <<<<<<<<<<<<<< - * else: - * v_prev = value[x-1, y-1] - */ - /*else*/ { - __pyx_v_v_prev = __pyx_v_max_neg_val; - } - __pyx_L9:; - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":23 - * else: - * v_cur = value[x, y-1] - * if x == 0: # <<<<<<<<<<<<<< - * if y == 0: - * v_prev = 0. - */ - goto __pyx_L8; - } - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":29 - * v_prev = max_neg_val - * else: - * v_prev = value[x-1, y-1] # <<<<<<<<<<<<<< - * value[x, y] = max(v_cur, v_prev) + value[x, y] - * - */ - /*else*/ { - __pyx_t_11 = (__pyx_v_x - 1); - __pyx_t_12 = (__pyx_v_y - 1); - __pyx_v_v_prev = (*((float *) ( /* dim=1 */ ((char *) (((float *) ( /* dim=0 */ (__pyx_v_value.data + __pyx_t_11 * __pyx_v_value.strides[0]) )) + __pyx_t_12)) ))); - } - __pyx_L8:; - - /* "TTS/tts/layers/glow_tts/monotonic_align/core.pyx":30 - * else: - * v_prev = value[x-1, y-1] - * value[x, y] = max(v_cur, v_prev) + value[x, y] # <<<<<<<<<<<<<< - * - * for y in range(t_y - 1, -1, -1): - */ - __pyx_t_13 = __pyx_v_v_prev; - __pyx_t_14 = __pyx_v_v_cur; - if (((__pyx_t_13 > __pyx_t_14) != 0)) { - __pyx_t_15 = __pyx_t_13; - } else { - __pyx_t_15 = __pyx_t_14; - } - __pyx_t_16 = __pyx_v_x; - __pyx_t_17 = __pyx_v_y; - __pyx_t_18 = __pyx_v_x; - __pyx_t_19 = __pyx_v_y; - *((float *) ( /* dim=1 */ ((char *) (((float *) ( /* dim=0 */ (__pyx_v_value.data + __pyx_t_18 * __pyx_v_value.strides[0]) )) + __pyx_t_19)) )) = (__pyx_t_15 + (*((float *) ( /* dim=1 */ ((char *) (((float *) ( /* dim=0 */ (__pyx_v_value.data + __pyx_t_16 * __pyx_v_value.strides[0]) )) + __pyx_t_17)) )))); 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if (__pyx_t_2) { - - /* "View.MemoryView":1304 - * if slices_overlap(&src, &dst, ndim, itemsize): - * - * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< - * order = get_best_order(&dst, ndim) - * - */ - __pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0); - if (__pyx_t_2) { - - /* "View.MemoryView":1305 - * - * if not slice_is_contig(src, order, ndim): - * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< - * - * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) - */ - __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); - - /* "View.MemoryView":1304 - * if slices_overlap(&src, &dst, ndim, itemsize): - * - * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< - * order = get_best_order(&dst, ndim) - * - */ - } - - /* "View.MemoryView":1307 - * order = get_best_order(&dst, ndim) - * - * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< - * src = tmp - * - */ - __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(2, 1307, __pyx_L1_error) - 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"" : "s", num_found); -} - -/* RaiseDoubleKeywords */ -static void __Pyx_RaiseDoubleKeywordsError( - const char* func_name, - PyObject* kw_name) -{ - PyErr_Format(PyExc_TypeError, - #if PY_MAJOR_VERSION >= 3 - "%s() got multiple values for keyword argument '%U'", func_name, kw_name); - #else - "%s() got multiple values for keyword argument '%s'", func_name, - PyString_AsString(kw_name)); - #endif -} - -/* ParseKeywords */ -static int __Pyx_ParseOptionalKeywords( - PyObject *kwds, - PyObject **argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - const char* function_name) -{ - PyObject *key = 0, *value = 0; - Py_ssize_t pos = 0; - PyObject*** name; - PyObject*** first_kw_arg = argnames + num_pos_args; - while (PyDict_Next(kwds, &pos, &key, &value)) { - name = first_kw_arg; - while (*name && (**name != key)) name++; - if (*name) { - values[name-argnames] = value; - continue; - } - name = first_kw_arg; - #if PY_MAJOR_VERSION < 3 - if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) { - while (*name) { - if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) - && _PyString_Eq(**name, key)) { - values[name-argnames] = value; - break; - } - name++; - } - if (*name) continue; - else { - PyObject*** argname = argnames; - while (argname != first_kw_arg) { - if ((**argname == key) || ( - (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) - && _PyString_Eq(**argname, key))) { - goto arg_passed_twice; - } - argname++; - } - } - } else - #endif - if (likely(PyUnicode_Check(key))) { - while (*name) { - int cmp = (**name == key) ? 0 : - #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 - (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : - #endif - PyUnicode_Compare(**name, key); - if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; - if (cmp == 0) { - values[name-argnames] = value; - break; - } - name++; - } - if (*name) continue; - else { - PyObject*** argname = argnames; - while (argname != first_kw_arg) { - int cmp = (**argname == key) ? 0 : - #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 - (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : - #endif - PyUnicode_Compare(**argname, key); - if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; - if (cmp == 0) goto arg_passed_twice; - argname++; - } - } - } else - goto invalid_keyword_type; - if (kwds2) { - if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; - } else { - goto invalid_keyword; - } - } - return 0; -arg_passed_twice: - __Pyx_RaiseDoubleKeywordsError(function_name, key); - goto bad; -invalid_keyword_type: - PyErr_Format(PyExc_TypeError, - "%.200s() keywords must be strings", function_name); - goto bad; -invalid_keyword: - PyErr_Format(PyExc_TypeError, - #if PY_MAJOR_VERSION < 3 - "%.200s() got an unexpected keyword argument '%.200s'", - function_name, PyString_AsString(key)); - #else - "%s() got an unexpected keyword argument '%U'", - function_name, key); - #endif -bad: - return -1; -} - -/* None */ -static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { - PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); -} - -/* PyObjectCall */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { - PyObject *result; - ternaryfunc call = func->ob_type->tp_call; - if (unlikely(!call)) - return PyObject_Call(func, arg, kw); - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - result = (*call)(func, arg, kw); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* RaiseException */ -#if PY_MAJOR_VERSION < 3 -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, - CYTHON_UNUSED PyObject *cause) { - __Pyx_PyThreadState_declare - Py_XINCREF(type); - if (!value || value == Py_None) - value = NULL; - else - Py_INCREF(value); - if (!tb || tb == Py_None) - tb = NULL; - else { - Py_INCREF(tb); - if (!PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto raise_error; - } - } - if (PyType_Check(type)) { -#if CYTHON_COMPILING_IN_PYPY - if (!value) { - Py_INCREF(Py_None); - value = Py_None; - } -#endif - PyErr_NormalizeException(&type, &value, &tb); - } else { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto raise_error; - } - value = type; - type = (PyObject*) Py_TYPE(type); - Py_INCREF(type); - if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto raise_error; - } - } - __Pyx_PyThreadState_assign - __Pyx_ErrRestore(type, value, tb); - return; -raise_error: - Py_XDECREF(value); - Py_XDECREF(type); - Py_XDECREF(tb); - return; -} -#else -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { - PyObject* owned_instance = NULL; - if (tb == Py_None) { - tb = 0; - } else if (tb && !PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto bad; - } - if (value == Py_None) - value = 0; - if (PyExceptionInstance_Check(type)) { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto bad; - } - value = type; - type = (PyObject*) Py_TYPE(value); - } else if (PyExceptionClass_Check(type)) { - PyObject *instance_class = NULL; - if (value && PyExceptionInstance_Check(value)) { - instance_class = (PyObject*) Py_TYPE(value); - if (instance_class != type) { - int is_subclass = PyObject_IsSubclass(instance_class, type); - if (!is_subclass) { - instance_class = NULL; - } else if (unlikely(is_subclass == -1)) { - goto bad; - } else { - type = instance_class; - } - } - } - if (!instance_class) { - PyObject *args; - if (!value) - args = PyTuple_New(0); - else if (PyTuple_Check(value)) { - Py_INCREF(value); - args = value; - } else - args = PyTuple_Pack(1, value); - if (!args) - goto bad; - owned_instance = PyObject_Call(type, args, NULL); - Py_DECREF(args); - if (!owned_instance) - goto bad; - value = owned_instance; - if (!PyExceptionInstance_Check(value)) { - PyErr_Format(PyExc_TypeError, - "calling %R should have returned an instance of " - "BaseException, not %R", - type, Py_TYPE(value)); - goto bad; - } - } - } else { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto bad; - } - if (cause) { - PyObject *fixed_cause; - if (cause == Py_None) { - fixed_cause = NULL; - } else if (PyExceptionClass_Check(cause)) { - fixed_cause = PyObject_CallObject(cause, NULL); - if (fixed_cause == NULL) - goto bad; - } else if (PyExceptionInstance_Check(cause)) { - fixed_cause = cause; - Py_INCREF(fixed_cause); - } else { - PyErr_SetString(PyExc_TypeError, - "exception causes must derive from " - "BaseException"); - goto bad; - } - PyException_SetCause(value, fixed_cause); - } - PyErr_SetObject(type, value); - if (tb) { -#if CYTHON_COMPILING_IN_PYPY - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); - Py_INCREF(tb); - PyErr_Restore(tmp_type, tmp_value, tb); - Py_XDECREF(tmp_tb); -#else - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject* tmp_tb = tstate->curexc_traceback; - if (tb != tmp_tb) { - Py_INCREF(tb); - tstate->curexc_traceback = tb; - Py_XDECREF(tmp_tb); - } -#endif - } -bad: - Py_XDECREF(owned_instance); - return; -} -#endif - -/* PyCFunctionFastCall */ -#if CYTHON_FAST_PYCCALL -static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) { - PyCFunctionObject *func = (PyCFunctionObject*)func_obj; - PyCFunction meth = PyCFunction_GET_FUNCTION(func); - PyObject *self = PyCFunction_GET_SELF(func); - int flags = PyCFunction_GET_FLAGS(func); - assert(PyCFunction_Check(func)); - assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))); - assert(nargs >= 0); - assert(nargs == 0 || args != NULL); - /* _PyCFunction_FastCallDict() must not be called with an exception set, - because it may clear it (directly or indirectly) and so the - caller loses its exception */ - assert(!PyErr_Occurred()); - if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) { - return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL); - } else { - return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs); - } -} -#endif - -/* PyFunctionFastCall */ -#if CYTHON_FAST_PYCALL -static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, - PyObject *globals) { - PyFrameObject *f; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject **fastlocals; - Py_ssize_t i; - PyObject *result; - assert(globals != NULL); - /* XXX Perhaps we should create a specialized - PyFrame_New() that doesn't take locals, but does - take builtins without sanity checking them. - */ - assert(tstate != NULL); - f = PyFrame_New(tstate, co, globals, NULL); - if (f == NULL) { - return NULL; - } - fastlocals = __Pyx_PyFrame_GetLocalsplus(f); - for (i = 0; i < na; i++) { - Py_INCREF(*args); - fastlocals[i] = *args++; - } - result = PyEval_EvalFrameEx(f,0); - ++tstate->recursion_depth; - Py_DECREF(f); - --tstate->recursion_depth; - return result; -} -#if 1 || PY_VERSION_HEX < 0x030600B1 -static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) { - PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); - PyObject *globals = PyFunction_GET_GLOBALS(func); - PyObject *argdefs = PyFunction_GET_DEFAULTS(func); - PyObject *closure; -#if PY_MAJOR_VERSION >= 3 - PyObject *kwdefs; -#endif - PyObject *kwtuple, **k; - PyObject **d; - Py_ssize_t nd; - Py_ssize_t nk; - PyObject *result; - assert(kwargs == NULL || PyDict_Check(kwargs)); - nk = kwargs ? PyDict_Size(kwargs) : 0; - if (Py_EnterRecursiveCall((char*)" while calling a Python object")) { - return NULL; - } - if ( -#if PY_MAJOR_VERSION >= 3 - co->co_kwonlyargcount == 0 && -#endif - likely(kwargs == NULL || nk == 0) && - co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { - if (argdefs == NULL && co->co_argcount == nargs) { - result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals); - goto done; - } - else if (nargs == 0 && argdefs != NULL - && co->co_argcount == Py_SIZE(argdefs)) { - /* function called with no arguments, but all parameters have - a default value: use default values as arguments .*/ - args = &PyTuple_GET_ITEM(argdefs, 0); - result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals); - goto done; - } - } - if (kwargs != NULL) { - Py_ssize_t pos, i; - kwtuple = PyTuple_New(2 * nk); - if (kwtuple == NULL) { - result = NULL; - goto done; - } - k = &PyTuple_GET_ITEM(kwtuple, 0); - pos = i = 0; - while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { - Py_INCREF(k[i]); - Py_INCREF(k[i+1]); - i += 2; - } - nk = i / 2; - } - else { - kwtuple = NULL; - k = NULL; - } - closure = PyFunction_GET_CLOSURE(func); -#if PY_MAJOR_VERSION >= 3 - kwdefs = PyFunction_GET_KW_DEFAULTS(func); -#endif - if (argdefs != NULL) { - d = &PyTuple_GET_ITEM(argdefs, 0); - nd = Py_SIZE(argdefs); - } - else { - d = NULL; - nd = 0; - } -#if PY_MAJOR_VERSION >= 3 - result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL, - args, (int)nargs, - k, (int)nk, - d, (int)nd, kwdefs, closure); -#else - result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL, - args, (int)nargs, - k, (int)nk, - d, (int)nd, closure); -#endif - Py_XDECREF(kwtuple); -done: - Py_LeaveRecursiveCall(); - return result; -} -#endif -#endif - -/* PyObjectCallMethO */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { - PyObject *self, *result; - PyCFunction cfunc; - cfunc = PyCFunction_GET_FUNCTION(func); - self = PyCFunction_GET_SELF(func); - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - result = cfunc(self, arg); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* PyObjectCallOneArg */ -#if CYTHON_COMPILING_IN_CPYTHON -static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { - PyObject *result; - PyObject *args = PyTuple_New(1); - if (unlikely(!args)) return NULL; - Py_INCREF(arg); - PyTuple_SET_ITEM(args, 0, arg); - result = __Pyx_PyObject_Call(func, args, NULL); - Py_DECREF(args); - return result; -} -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { -#if CYTHON_FAST_PYCALL - if (PyFunction_Check(func)) { - return __Pyx_PyFunction_FastCall(func, &arg, 1); - } -#endif - if (likely(PyCFunction_Check(func))) { - if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { - return __Pyx_PyObject_CallMethO(func, arg); -#if CYTHON_FAST_PYCCALL - } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) { - return __Pyx_PyCFunction_FastCall(func, &arg, 1); -#endif - } - } - return __Pyx__PyObject_CallOneArg(func, arg); -} -#else -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { - PyObject *result; - PyObject *args = PyTuple_Pack(1, arg); - if (unlikely(!args)) return NULL; - result = __Pyx_PyObject_Call(func, args, NULL); - Py_DECREF(args); - return result; -} -#endif - -/* DictGetItem */ -#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY -static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) { - PyObject *value; - value = PyDict_GetItemWithError(d, key); - if (unlikely(!value)) { - if (!PyErr_Occurred()) { - if (unlikely(PyTuple_Check(key))) { - PyObject* args = PyTuple_Pack(1, key); - if (likely(args)) { - PyErr_SetObject(PyExc_KeyError, args); - Py_DECREF(args); - } - } else { - PyErr_SetObject(PyExc_KeyError, key); - } - } - return NULL; - } - Py_INCREF(value); - return value; -} -#endif - -/* RaiseTooManyValuesToUnpack */ -static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { - PyErr_Format(PyExc_ValueError, - "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); -} - -/* RaiseNeedMoreValuesToUnpack */ -static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { - PyErr_Format(PyExc_ValueError, - "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", - index, (index == 1) ? "" : "s"); -} - -/* RaiseNoneIterError */ -static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { - PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); -} - -/* ExtTypeTest */ -static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - if (likely(__Pyx_TypeCheck(obj, type))) - return 1; - PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", - Py_TYPE(obj)->tp_name, type->tp_name); - return 0; -} - -/* GetTopmostException */ -#if CYTHON_USE_EXC_INFO_STACK -static _PyErr_StackItem * -__Pyx_PyErr_GetTopmostException(PyThreadState *tstate) -{ - _PyErr_StackItem *exc_info = tstate->exc_info; - while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) && - exc_info->previous_item != NULL) - { - exc_info = exc_info->previous_item; - } - return exc_info; -} -#endif - -/* SaveResetException */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - #if CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); - *type = exc_info->exc_type; - *value = exc_info->exc_value; - *tb = exc_info->exc_traceback; - #else - *type = tstate->exc_type; - *value = tstate->exc_value; - *tb = tstate->exc_traceback; - #endif - Py_XINCREF(*type); - Py_XINCREF(*value); - Py_XINCREF(*tb); -} -static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = type; - exc_info->exc_value = value; - exc_info->exc_traceback = tb; - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = type; - tstate->exc_value = value; - tstate->exc_traceback = tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -} -#endif - -/* PyErrExceptionMatches */ -#if CYTHON_FAST_THREAD_STATE -static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(tuple); -#if PY_MAJOR_VERSION >= 3 - for (i=0; icurexc_type; - if (exc_type == err) return 1; - if (unlikely(!exc_type)) return 0; - if (unlikely(PyTuple_Check(err))) - return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err); - return __Pyx_PyErr_GivenExceptionMatches(exc_type, err); -} -#endif - -/* GetException */ -#if CYTHON_FAST_THREAD_STATE -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) -#else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) -#endif -{ - PyObject *local_type, *local_value, *local_tb; -#if CYTHON_FAST_THREAD_STATE - PyObject *tmp_type, *tmp_value, *tmp_tb; - local_type = tstate->curexc_type; - local_value = tstate->curexc_value; - local_tb = tstate->curexc_traceback; - tstate->curexc_type = 0; - tstate->curexc_value = 0; - tstate->curexc_traceback = 0; -#else - PyErr_Fetch(&local_type, &local_value, &local_tb); -#endif - PyErr_NormalizeException(&local_type, &local_value, &local_tb); -#if CYTHON_FAST_THREAD_STATE - if (unlikely(tstate->curexc_type)) -#else - if (unlikely(PyErr_Occurred())) -#endif - goto bad; - #if PY_MAJOR_VERSION >= 3 - if (local_tb) { - if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) - goto bad; - } - #endif - Py_XINCREF(local_tb); - Py_XINCREF(local_type); - Py_XINCREF(local_value); - *type = local_type; - *value = local_value; - *tb = local_tb; -#if CYTHON_FAST_THREAD_STATE - #if CYTHON_USE_EXC_INFO_STACK - { - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = local_type; - exc_info->exc_value = local_value; - exc_info->exc_traceback = local_tb; - } - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = local_type; - tstate->exc_value = local_value; - tstate->exc_traceback = local_tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -#else - PyErr_SetExcInfo(local_type, local_value, local_tb); -#endif - return 0; -bad: - *type = 0; - *value = 0; - *tb = 0; - Py_XDECREF(local_type); - Py_XDECREF(local_value); - Py_XDECREF(local_tb); - return -1; -} - -/* ArgTypeTest */ -static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) -{ - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - else if (exact) { - #if PY_MAJOR_VERSION == 2 - if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; - #endif - } - else { - if (likely(__Pyx_TypeCheck(obj, type))) return 1; - } - PyErr_Format(PyExc_TypeError, - "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", - name, type->tp_name, Py_TYPE(obj)->tp_name); - return 0; -} - -/* PyObjectCall2Args */ -static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { - PyObject *args, *result = NULL; - #if CYTHON_FAST_PYCALL - if (PyFunction_Check(function)) { - PyObject *args[2] = {arg1, arg2}; - return __Pyx_PyFunction_FastCall(function, args, 2); - } - #endif - #if CYTHON_FAST_PYCCALL - if (__Pyx_PyFastCFunction_Check(function)) { - PyObject *args[2] = {arg1, arg2}; - return __Pyx_PyCFunction_FastCall(function, args, 2); - } - #endif - args = PyTuple_New(2); - if (unlikely(!args)) goto done; - Py_INCREF(arg1); - PyTuple_SET_ITEM(args, 0, arg1); - Py_INCREF(arg2); - PyTuple_SET_ITEM(args, 1, arg2); - Py_INCREF(function); - result = __Pyx_PyObject_Call(function, args, NULL); - Py_DECREF(args); - Py_DECREF(function); -done: - return result; -} - -/* BytesEquals */ -static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) { -#if CYTHON_COMPILING_IN_PYPY - return PyObject_RichCompareBool(s1, s2, equals); -#else - if (s1 == s2) { - return (equals == Py_EQ); - } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { - const char *ps1, *ps2; - Py_ssize_t length = PyBytes_GET_SIZE(s1); - if (length != PyBytes_GET_SIZE(s2)) - return (equals == Py_NE); - ps1 = PyBytes_AS_STRING(s1); - ps2 = PyBytes_AS_STRING(s2); - if (ps1[0] != ps2[0]) { - return (equals == Py_NE); - } else if (length == 1) { - return (equals == Py_EQ); - } else { - int result; -#if CYTHON_USE_UNICODE_INTERNALS - Py_hash_t hash1, hash2; - hash1 = ((PyBytesObject*)s1)->ob_shash; - hash2 = ((PyBytesObject*)s2)->ob_shash; - if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { - return (equals == Py_NE); - } -#endif - result = memcmp(ps1, ps2, (size_t)length); - return (equals == Py_EQ) ? (result == 0) : (result != 0); - } - } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { - return (equals == Py_NE); - } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { - return (equals == Py_NE); - } else { - int result; - PyObject* py_result = PyObject_RichCompare(s1, s2, equals); - if (!py_result) - return -1; - result = __Pyx_PyObject_IsTrue(py_result); - Py_DECREF(py_result); - return result; - } -#endif -} - -/* UnicodeEquals */ -static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { -#if CYTHON_COMPILING_IN_PYPY - return PyObject_RichCompareBool(s1, s2, equals); -#else -#if PY_MAJOR_VERSION < 3 - PyObject* owned_ref = NULL; -#endif - int s1_is_unicode, s2_is_unicode; - if (s1 == s2) { - goto return_eq; - } - s1_is_unicode = PyUnicode_CheckExact(s1); - s2_is_unicode = PyUnicode_CheckExact(s2); -#if PY_MAJOR_VERSION < 3 - if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) { - owned_ref = PyUnicode_FromObject(s2); - if (unlikely(!owned_ref)) - return -1; - s2 = owned_ref; - s2_is_unicode = 1; - } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) { - owned_ref = PyUnicode_FromObject(s1); - if (unlikely(!owned_ref)) - return -1; - s1 = owned_ref; - s1_is_unicode = 1; - } else if (((!s2_is_unicode) & (!s1_is_unicode))) { - return __Pyx_PyBytes_Equals(s1, s2, equals); - } -#endif - if (s1_is_unicode & s2_is_unicode) { - Py_ssize_t length; - int kind; - void *data1, *data2; - if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) - return -1; - length = __Pyx_PyUnicode_GET_LENGTH(s1); - if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) { - goto return_ne; - } -#if CYTHON_USE_UNICODE_INTERNALS - { - Py_hash_t hash1, hash2; - #if CYTHON_PEP393_ENABLED - hash1 = ((PyASCIIObject*)s1)->hash; - hash2 = ((PyASCIIObject*)s2)->hash; - #else - hash1 = ((PyUnicodeObject*)s1)->hash; - hash2 = ((PyUnicodeObject*)s2)->hash; - #endif - if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { - goto return_ne; - } - } -#endif - kind = __Pyx_PyUnicode_KIND(s1); - if (kind != __Pyx_PyUnicode_KIND(s2)) { - goto return_ne; - } - data1 = __Pyx_PyUnicode_DATA(s1); - data2 = __Pyx_PyUnicode_DATA(s2); - if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { - goto return_ne; - } else if (length == 1) { - goto return_eq; - } else { - int result = memcmp(data1, data2, (size_t)(length * kind)); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - return (equals == Py_EQ) ? (result == 0) : (result != 0); - } - } else if ((s1 == Py_None) & s2_is_unicode) { - goto return_ne; - } else if ((s2 == Py_None) & s1_is_unicode) { - goto return_ne; - } else { - int result; - PyObject* py_result = PyObject_RichCompare(s1, s2, equals); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - if (!py_result) - return -1; - result = __Pyx_PyObject_IsTrue(py_result); - Py_DECREF(py_result); - return result; - } -return_eq: - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - return (equals == Py_EQ); -return_ne: - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - return (equals == Py_NE); -#endif -} - -/* None */ -static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { - Py_ssize_t q = a / b; - Py_ssize_t r = a - q*b; - q -= ((r != 0) & ((r ^ b) < 0)); - return q; -} - -/* GetAttr */ -static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { -#if CYTHON_USE_TYPE_SLOTS -#if PY_MAJOR_VERSION >= 3 - if (likely(PyUnicode_Check(n))) -#else - if (likely(PyString_Check(n))) -#endif - return __Pyx_PyObject_GetAttrStr(o, n); -#endif - return PyObject_GetAttr(o, n); -} - -/* GetItemInt */ -static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { - PyObject *r; - if (!j) return NULL; - r = PyObject_GetItem(o, j); - Py_DECREF(j); - return r; -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, - CYTHON_NCP_UNUSED int wraparound, - CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - Py_ssize_t wrapped_i = i; - if (wraparound & unlikely(i < 0)) { - wrapped_i += PyList_GET_SIZE(o); - } - if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) { - PyObject *r = PyList_GET_ITEM(o, wrapped_i); - Py_INCREF(r); - return r; - } - return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); -#else - return PySequence_GetItem(o, i); -#endif -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, - CYTHON_NCP_UNUSED int wraparound, - CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - Py_ssize_t wrapped_i = i; - if (wraparound & unlikely(i < 0)) { - wrapped_i += PyTuple_GET_SIZE(o); - } - if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) { - PyObject *r = PyTuple_GET_ITEM(o, wrapped_i); - Py_INCREF(r); - return r; - } - return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); -#else - return PySequence_GetItem(o, i); -#endif -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, - CYTHON_NCP_UNUSED int wraparound, - CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS - if (is_list || PyList_CheckExact(o)) { - Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); - if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) { - PyObject *r = PyList_GET_ITEM(o, n); - Py_INCREF(r); - return r; - } - } - else if (PyTuple_CheckExact(o)) { - Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); - if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { - PyObject *r = PyTuple_GET_ITEM(o, n); - Py_INCREF(r); - return r; - } - } else { - PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; - if (likely(m && m->sq_item)) { - if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { - Py_ssize_t l = m->sq_length(o); - if (likely(l >= 0)) { - i += l; - } else { - if (!PyErr_ExceptionMatches(PyExc_OverflowError)) - return NULL; - PyErr_Clear(); - } - } - return m->sq_item(o, i); - } - } -#else - if (is_list || PySequence_Check(o)) { - return PySequence_GetItem(o, i); - } -#endif - return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); -} - -/* ObjectGetItem */ -#if CYTHON_USE_TYPE_SLOTS -static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) { - PyObject *runerr; - Py_ssize_t key_value; - PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence; - if (unlikely(!(m && m->sq_item))) { - PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name); - return NULL; - } - key_value = __Pyx_PyIndex_AsSsize_t(index); - if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) { - return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1); - } - if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) { - PyErr_Clear(); - PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name); - } - return NULL; -} -static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) { - PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping; - if (likely(m && m->mp_subscript)) { - return m->mp_subscript(obj, key); - } - return __Pyx_PyObject_GetIndex(obj, key); -} -#endif - -/* decode_c_string */ -static CYTHON_INLINE PyObject* __Pyx_decode_c_string( - const char* cstring, Py_ssize_t start, Py_ssize_t stop, - const char* encoding, const char* errors, - PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { - Py_ssize_t length; - if (unlikely((start < 0) | (stop < 0))) { - size_t slen = strlen(cstring); - if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) { - PyErr_SetString(PyExc_OverflowError, - "c-string too long to convert to Python"); - return NULL; - } - length = (Py_ssize_t) slen; - if (start < 0) { - start += length; - if (start < 0) - start = 0; - } - if (stop < 0) - stop += length; - } - length = stop - start; - if (unlikely(length <= 0)) - return PyUnicode_FromUnicode(NULL, 0); - cstring += start; - if (decode_func) { - return decode_func(cstring, length, errors); - } else { - return PyUnicode_Decode(cstring, length, encoding, errors); - } -} - -/* GetAttr3 */ -static PyObject *__Pyx_GetAttr3Default(PyObject *d) { - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) - return NULL; - __Pyx_PyErr_Clear(); - Py_INCREF(d); - return d; -} -static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { - PyObject *r = __Pyx_GetAttr(o, n); - return (likely(r)) ? r : __Pyx_GetAttr3Default(d); -} - -/* PyDictVersioning */ -#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; -} -static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { - PyObject **dictptr = NULL; - Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; - if (offset) { -#if CYTHON_COMPILING_IN_CPYTHON - dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); -#else - dictptr = _PyObject_GetDictPtr(obj); -#endif - } - return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; -} -static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) - return 0; - return obj_dict_version == __Pyx_get_object_dict_version(obj); -} -#endif - -/* GetModuleGlobalName */ -#if CYTHON_USE_DICT_VERSIONS -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) -#else -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) -#endif -{ - PyObject *result; -#if !CYTHON_AVOID_BORROWED_REFS -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 - result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } else if (unlikely(PyErr_Occurred())) { - return NULL; - } -#else - result = PyDict_GetItem(__pyx_d, name); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } -#endif -#else - result = PyObject_GetItem(__pyx_d, name); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } - PyErr_Clear(); -#endif - return __Pyx_GetBuiltinName(name); -} - -/* SwapException */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = *type; - exc_info->exc_value = *value; - exc_info->exc_traceback = *tb; - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = *type; - tstate->exc_value = *value; - tstate->exc_traceback = *tb; - #endif - *type = tmp_type; - *value = tmp_value; - *tb = tmp_tb; -} -#else -static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); - PyErr_SetExcInfo(*type, *value, *tb); - *type = tmp_type; - *value = tmp_value; - *tb = tmp_tb; -} -#endif - -/* Import */ -static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { - PyObject *empty_list = 0; - PyObject *module = 0; - PyObject *global_dict = 0; - PyObject *empty_dict = 0; - PyObject *list; - #if PY_MAJOR_VERSION < 3 - PyObject *py_import; - py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); - if (!py_import) - goto bad; - #endif - if (from_list) - list = from_list; - else { - empty_list = PyList_New(0); - if (!empty_list) - goto bad; - list = empty_list; - } - global_dict = PyModule_GetDict(__pyx_m); - if (!global_dict) - goto bad; - empty_dict = PyDict_New(); - if (!empty_dict) - goto bad; - { - #if PY_MAJOR_VERSION >= 3 - if (level == -1) { - if (strchr(__Pyx_MODULE_NAME, '.')) { - module = PyImport_ImportModuleLevelObject( - name, global_dict, empty_dict, list, 1); - if (!module) { - if (!PyErr_ExceptionMatches(PyExc_ImportError)) - goto bad; - PyErr_Clear(); - } - } - level = 0; - } - #endif - if (!module) { - #if PY_MAJOR_VERSION < 3 - PyObject *py_level = PyInt_FromLong(level); - if (!py_level) - goto bad; - module = PyObject_CallFunctionObjArgs(py_import, - name, global_dict, empty_dict, list, py_level, (PyObject *)NULL); - Py_DECREF(py_level); - #else - module = PyImport_ImportModuleLevelObject( - name, global_dict, empty_dict, list, level); - #endif - } - } -bad: - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(py_import); - #endif - Py_XDECREF(empty_list); - Py_XDECREF(empty_dict); - return module; -} - -/* FastTypeChecks */ -#if CYTHON_COMPILING_IN_CPYTHON -static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { - while (a) { - a = a->tp_base; - if (a == b) - return 1; - } - return b == &PyBaseObject_Type; -} -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { - PyObject *mro; - if (a == b) return 1; - mro = a->tp_mro; - if (likely(mro)) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(mro); - for (i = 0; i < n; i++) { - if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) - return 1; - } - return 0; - } - return __Pyx_InBases(a, b); -} -#if PY_MAJOR_VERSION == 2 -static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) { - PyObject *exception, *value, *tb; - int res; - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - __Pyx_ErrFetch(&exception, &value, &tb); - res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0; - if (unlikely(res == -1)) { - PyErr_WriteUnraisable(err); - res = 0; - } - if (!res) { - res = PyObject_IsSubclass(err, exc_type2); - if (unlikely(res == -1)) { - PyErr_WriteUnraisable(err); - res = 0; - } - } - __Pyx_ErrRestore(exception, value, tb); - return res; -} -#else -static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { - int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0; - if (!res) { - res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); - } - return res; -} -#endif -static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { - Py_ssize_t i, n; - assert(PyExceptionClass_Check(exc_type)); - n = PyTuple_GET_SIZE(tuple); -#if PY_MAJOR_VERSION >= 3 - for (i=0; i= 0 || (x^b) >= 0)) - return PyInt_FromLong(x); - return PyLong_Type.tp_as_number->nb_add(op1, op2); - } - #endif - #if CYTHON_USE_PYLONG_INTERNALS - if (likely(PyLong_CheckExact(op1))) { - const long b = intval; - long a, x; -#ifdef HAVE_LONG_LONG - const PY_LONG_LONG llb = intval; - PY_LONG_LONG lla, llx; -#endif - const digit* digits = ((PyLongObject*)op1)->ob_digit; - const Py_ssize_t size = Py_SIZE(op1); - if (likely(__Pyx_sst_abs(size) <= 1)) { - a = likely(size) ? digits[0] : 0; - if (size == -1) a = -a; - } else { - switch (size) { - case -2: - if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { - a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; -#ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { - lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; -#endif - } - CYTHON_FALLTHROUGH; - case 2: - if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { - a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; -#ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { - lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; -#endif - } - CYTHON_FALLTHROUGH; - case -3: - if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { - a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; -#ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { - lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; -#endif - } - CYTHON_FALLTHROUGH; - case 3: - if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { - a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; -#ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { - lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; -#endif - } - CYTHON_FALLTHROUGH; - case -4: - if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { - a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; -#ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { - lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; -#endif - } - CYTHON_FALLTHROUGH; - case 4: - if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { - a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; -#ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { - lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; -#endif - } - CYTHON_FALLTHROUGH; - default: return PyLong_Type.tp_as_number->nb_add(op1, op2); - } - } - x = a + b; - return PyLong_FromLong(x); -#ifdef HAVE_LONG_LONG - long_long: - llx = lla + llb; - return PyLong_FromLongLong(llx); -#endif - - - } - #endif - if (PyFloat_CheckExact(op1)) { - const long b = intval; - double a = PyFloat_AS_DOUBLE(op1); - double result; - PyFPE_START_PROTECT("add", return NULL) - result = ((double)a) + (double)b; - PyFPE_END_PROTECT(result) - return PyFloat_FromDouble(result); - } - return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2); -} -#endif - -/* None */ -static CYTHON_INLINE long __Pyx_div_long(long a, long b) { - long q = a / b; - long r = a - q*b; - q -= ((r != 0) & ((r ^ b) < 0)); - return q; -} - -/* ImportFrom */ -static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { - PyObject* value = __Pyx_PyObject_GetAttrStr(module, name); - if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) { - PyErr_Format(PyExc_ImportError, - #if PY_MAJOR_VERSION < 3 - "cannot import name %.230s", PyString_AS_STRING(name)); - #else - "cannot import name %S", name); - #endif - } - return value; -} - -/* HasAttr */ -static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { - PyObject *r; - if (unlikely(!__Pyx_PyBaseString_Check(n))) { - PyErr_SetString(PyExc_TypeError, - "hasattr(): attribute name must be string"); - return -1; - } - r = __Pyx_GetAttr(o, n); - if (unlikely(!r)) { - PyErr_Clear(); - return 0; - } else { - Py_DECREF(r); - return 1; - } -} - -/* PyObject_GenericGetAttrNoDict */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) { - PyErr_Format(PyExc_AttributeError, -#if PY_MAJOR_VERSION >= 3 - "'%.50s' object has no attribute '%U'", - tp->tp_name, attr_name); -#else - "'%.50s' object has no attribute '%.400s'", - tp->tp_name, PyString_AS_STRING(attr_name)); -#endif - return NULL; -} -static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) { - PyObject *descr; - PyTypeObject *tp = Py_TYPE(obj); - if (unlikely(!PyString_Check(attr_name))) { - return PyObject_GenericGetAttr(obj, attr_name); - } - assert(!tp->tp_dictoffset); - descr = _PyType_Lookup(tp, attr_name); - if (unlikely(!descr)) { - return __Pyx_RaiseGenericGetAttributeError(tp, attr_name); - } - Py_INCREF(descr); - #if PY_MAJOR_VERSION < 3 - if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS))) - #endif - { - descrgetfunc f = Py_TYPE(descr)->tp_descr_get; - if (unlikely(f)) { - PyObject *res = f(descr, obj, (PyObject *)tp); - Py_DECREF(descr); - return res; - } - } - return descr; -} -#endif - -/* PyObject_GenericGetAttr */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) { - if (unlikely(Py_TYPE(obj)->tp_dictoffset)) { - return PyObject_GenericGetAttr(obj, attr_name); - } - return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name); -} -#endif - -/* SetVTable */ -static int __Pyx_SetVtable(PyObject *dict, void *vtable) { -#if PY_VERSION_HEX >= 0x02070000 - PyObject *ob = PyCapsule_New(vtable, 0, 0); -#else - PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); -#endif - if (!ob) - goto bad; - if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0) - goto bad; - Py_DECREF(ob); - return 0; -bad: - Py_XDECREF(ob); - return -1; -} - -/* SetupReduce */ -static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { - int ret; - PyObject *name_attr; - name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2); - if (likely(name_attr)) { - ret = PyObject_RichCompareBool(name_attr, name, Py_EQ); - } else { - ret = -1; - } - if (unlikely(ret < 0)) { - PyErr_Clear(); - ret = 0; - } - Py_XDECREF(name_attr); - return ret; -} -static int __Pyx_setup_reduce(PyObject* type_obj) { - int ret = 0; - PyObject *object_reduce = NULL; - PyObject *object_reduce_ex = NULL; - PyObject *reduce = NULL; - PyObject *reduce_ex = NULL; - PyObject *reduce_cython = NULL; - PyObject *setstate = NULL; - PyObject *setstate_cython = NULL; -#if CYTHON_USE_PYTYPE_LOOKUP - if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD; -#else - if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD; -#endif -#if CYTHON_USE_PYTYPE_LOOKUP - object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; -#else - object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; -#endif - reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD; - if (reduce_ex == object_reduce_ex) { -#if CYTHON_USE_PYTYPE_LOOKUP - object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; -#else - object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; -#endif - reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD; - if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) { - reduce_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_cython); if (unlikely(!reduce_cython)) goto __PYX_BAD; - ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate); - if (!setstate) PyErr_Clear(); - if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) { - setstate_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate_cython); if (unlikely(!setstate_cython)) goto __PYX_BAD; - ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - } - PyType_Modified((PyTypeObject*)type_obj); - } - } - goto __PYX_GOOD; -__PYX_BAD: - if (!PyErr_Occurred()) - PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name); - ret = -1; -__PYX_GOOD: -#if !CYTHON_USE_PYTYPE_LOOKUP - Py_XDECREF(object_reduce); - Py_XDECREF(object_reduce_ex); -#endif - Py_XDECREF(reduce); - Py_XDECREF(reduce_ex); - Py_XDECREF(reduce_cython); - Py_XDECREF(setstate); - Py_XDECREF(setstate_cython); - return ret; -} - -/* TypeImport */ -#ifndef __PYX_HAVE_RT_ImportType -#define __PYX_HAVE_RT_ImportType -static PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name, - size_t size, enum __Pyx_ImportType_CheckSize check_size) -{ - PyObject *result = 0; - char warning[200]; - Py_ssize_t basicsize; -#ifdef Py_LIMITED_API - PyObject *py_basicsize; -#endif - result = PyObject_GetAttrString(module, class_name); - if (!result) - goto bad; - if (!PyType_Check(result)) { - PyErr_Format(PyExc_TypeError, - "%.200s.%.200s is not a type object", - module_name, class_name); - goto bad; - } -#ifndef Py_LIMITED_API - basicsize = ((PyTypeObject *)result)->tp_basicsize; -#else - py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); - if (!py_basicsize) - goto bad; - basicsize = PyLong_AsSsize_t(py_basicsize); - Py_DECREF(py_basicsize); - py_basicsize = 0; - if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) - goto bad; -#endif - if ((size_t)basicsize < size) { - PyErr_Format(PyExc_ValueError, - "%.200s.%.200s size changed, may indicate binary incompatibility. " - "Expected %zd from C header, got %zd from PyObject", - module_name, class_name, size, basicsize); - goto bad; - } - if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) { - PyErr_Format(PyExc_ValueError, - "%.200s.%.200s size changed, may indicate binary incompatibility. " - "Expected %zd from C header, got %zd from PyObject", - module_name, class_name, size, basicsize); - goto bad; - } - else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) { - PyOS_snprintf(warning, sizeof(warning), - "%s.%s size changed, may indicate binary incompatibility. " - "Expected %zd from C header, got %zd from PyObject", - module_name, class_name, size, basicsize); - if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; - } - return (PyTypeObject *)result; -bad: - Py_XDECREF(result); - return NULL; -} -#endif - -/* CLineInTraceback */ -#ifndef CYTHON_CLINE_IN_TRACEBACK -static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { - PyObject *use_cline; - PyObject *ptype, *pvalue, *ptraceback; -#if CYTHON_COMPILING_IN_CPYTHON - PyObject **cython_runtime_dict; -#endif - if (unlikely(!__pyx_cython_runtime)) { - return c_line; - } - __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); -#if CYTHON_COMPILING_IN_CPYTHON - cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime); - if (likely(cython_runtime_dict)) { - __PYX_PY_DICT_LOOKUP_IF_MODIFIED( - use_cline, *cython_runtime_dict, - __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback)) - } else -#endif - { - PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback); - if (use_cline_obj) { - use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True; - Py_DECREF(use_cline_obj); - } else { - PyErr_Clear(); - use_cline = NULL; - } - } - if (!use_cline) { - c_line = 0; - PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False); - } - else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { - c_line = 0; - } - __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); - return c_line; -} -#endif - -/* CodeObjectCache */ -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { - int start = 0, mid = 0, end = count - 1; - if (end >= 0 && code_line > entries[end].code_line) { - return count; - } - while (start < end) { - mid = start + (end - start) / 2; - if (code_line < entries[mid].code_line) { - end = mid; - } else if (code_line > entries[mid].code_line) { - start = mid + 1; - } else { - return mid; - } - } - if (code_line <= entries[mid].code_line) { - return mid; - } else { - return mid + 1; - } -} -static PyCodeObject *__pyx_find_code_object(int code_line) { - PyCodeObject* code_object; - int pos; - if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { - return NULL; - } - pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); - if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { - return NULL; - } - code_object = __pyx_code_cache.entries[pos].code_object; - Py_INCREF(code_object); - return code_object; -} -static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { - int pos, i; - __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; - if (unlikely(!code_line)) { - return; - } - if (unlikely(!entries)) { - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); - if (likely(entries)) { - __pyx_code_cache.entries = entries; - __pyx_code_cache.max_count = 64; - __pyx_code_cache.count = 1; - entries[0].code_line = code_line; - entries[0].code_object = code_object; - Py_INCREF(code_object); - } - return; - } - pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); - if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { - PyCodeObject* tmp = entries[pos].code_object; - entries[pos].code_object = code_object; - Py_DECREF(tmp); - return; - } - if (__pyx_code_cache.count == __pyx_code_cache.max_count) { - int new_max = __pyx_code_cache.max_count + 64; - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( - __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry)); - if (unlikely(!entries)) { - return; - } - __pyx_code_cache.entries = entries; - __pyx_code_cache.max_count = new_max; - } - for (i=__pyx_code_cache.count; i>pos; i--) { - entries[i] = entries[i-1]; - } - entries[pos].code_line = code_line; - entries[pos].code_object = code_object; - __pyx_code_cache.count++; - Py_INCREF(code_object); -} - -/* AddTraceback */ -#include "compile.h" -#include "frameobject.h" -#include "traceback.h" -static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( - const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = 0; - PyObject *py_srcfile = 0; - PyObject *py_funcname = 0; - #if PY_MAJOR_VERSION < 3 - py_srcfile = PyString_FromString(filename); - #else - py_srcfile = PyUnicode_FromString(filename); - #endif - if (!py_srcfile) goto bad; - if (c_line) { - #if PY_MAJOR_VERSION < 3 - py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - #else - py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - #endif - } - else { - #if PY_MAJOR_VERSION < 3 - py_funcname = PyString_FromString(funcname); - #else - py_funcname = PyUnicode_FromString(funcname); - #endif - } - if (!py_funcname) goto bad; - py_code = __Pyx_PyCode_New( - 0, - 0, - 0, - 0, - 0, - __pyx_empty_bytes, /*PyObject *code,*/ - __pyx_empty_tuple, /*PyObject *consts,*/ - __pyx_empty_tuple, /*PyObject *names,*/ - __pyx_empty_tuple, /*PyObject *varnames,*/ - __pyx_empty_tuple, /*PyObject *freevars,*/ - __pyx_empty_tuple, /*PyObject *cellvars,*/ - py_srcfile, /*PyObject *filename,*/ - py_funcname, /*PyObject *name,*/ - py_line, - __pyx_empty_bytes /*PyObject *lnotab*/ - ); - Py_DECREF(py_srcfile); - Py_DECREF(py_funcname); - return py_code; -bad: - Py_XDECREF(py_srcfile); - Py_XDECREF(py_funcname); - return NULL; -} -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = 0; - PyFrameObject *py_frame = 0; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - if (c_line) { - c_line = __Pyx_CLineForTraceback(tstate, c_line); - } - py_code = __pyx_find_code_object(c_line ? -c_line : py_line); - if (!py_code) { - py_code = __Pyx_CreateCodeObjectForTraceback( - funcname, c_line, py_line, filename); - if (!py_code) goto bad; - __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); - } - py_frame = PyFrame_New( - tstate, /*PyThreadState *tstate,*/ - py_code, /*PyCodeObject *code,*/ - __pyx_d, /*PyObject *globals,*/ - 0 /*PyObject *locals*/ - ); - if (!py_frame) goto bad; - __Pyx_PyFrame_SetLineNumber(py_frame, py_line); - PyTraceBack_Here(py_frame); -bad: - Py_XDECREF(py_code); - Py_XDECREF(py_frame); -} - -#if PY_MAJOR_VERSION < 3 -static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { - if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); - if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); - if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); - if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); - PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name); - return -1; -} -static void __Pyx_ReleaseBuffer(Py_buffer *view) { - PyObject *obj = view->obj; - if (!obj) return; - if (PyObject_CheckBuffer(obj)) { - PyBuffer_Release(view); - return; - } - if ((0)) {} - else if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); - view->obj = NULL; - Py_DECREF(obj); -} -#endif - - -/* MemviewSliceIsContig */ -static int -__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) -{ - int i, index, step, start; - Py_ssize_t itemsize = mvs.memview->view.itemsize; - if (order == 'F') { - step = 1; - start = 0; - } else { - step = -1; - start = ndim - 1; - } - for (i = 0; i < ndim; i++) { - index = start + step * i; - if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) - return 0; - itemsize *= mvs.shape[index]; - } - return 1; -} - -/* OverlappingSlices */ -static void -__pyx_get_array_memory_extents(__Pyx_memviewslice *slice, - void **out_start, void **out_end, - int ndim, size_t itemsize) -{ - char *start, *end; - int i; - start = end = slice->data; - for (i = 0; i < ndim; i++) { - Py_ssize_t stride = slice->strides[i]; - Py_ssize_t extent = slice->shape[i]; - if (extent == 0) { - *out_start = *out_end = start; - return; - } else { - if (stride > 0) - end += stride * (extent - 1); - else - start += stride * (extent - 1); - } - } - *out_start = start; - *out_end = end + itemsize; -} -static int -__pyx_slices_overlap(__Pyx_memviewslice *slice1, - __Pyx_memviewslice *slice2, - int ndim, size_t itemsize) -{ - void *start1, *end1, *start2, *end2; - __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); - __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); - return (start1 < end2) && (start2 < end1); -} - -/* Capsule */ -static CYTHON_INLINE PyObject * -__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) -{ - PyObject *cobj; -#if PY_VERSION_HEX >= 0x02070000 - cobj = PyCapsule_New(p, sig, NULL); -#else - cobj = PyCObject_FromVoidPtr(p, NULL); -#endif - return cobj; -} - -/* IsLittleEndian */ -static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) -{ - union { - uint32_t u32; - uint8_t u8[4]; - } S; - S.u32 = 0x01020304; - return S.u8[0] == 4; -} - -/* BufferFormatCheck */ -static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, - __Pyx_BufFmt_StackElem* stack, - __Pyx_TypeInfo* type) { - stack[0].field = &ctx->root; - stack[0].parent_offset = 0; - ctx->root.type = type; - ctx->root.name = "buffer dtype"; - ctx->root.offset = 0; - ctx->head = stack; - ctx->head->field = &ctx->root; - ctx->fmt_offset = 0; - ctx->head->parent_offset = 0; - ctx->new_packmode = '@'; - ctx->enc_packmode = '@'; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->is_complex = 0; - ctx->is_valid_array = 0; - ctx->struct_alignment = 0; - while (type->typegroup == 'S') { - ++ctx->head; - ctx->head->field = type->fields; - ctx->head->parent_offset = 0; - type = type->fields->type; - } -} -static int __Pyx_BufFmt_ParseNumber(const char** ts) { - int count; - const char* t = *ts; - if (*t < '0' || *t > '9') { - return -1; - } else { - count = *t++ - '0'; - while (*t >= '0' && *t <= '9') { - count *= 10; - count += *t++ - '0'; - } - } - *ts = t; - return count; -} -static int __Pyx_BufFmt_ExpectNumber(const char **ts) { - int number = __Pyx_BufFmt_ParseNumber(ts); - if (number == -1) - PyErr_Format(PyExc_ValueError,\ - "Does not understand character buffer dtype format string ('%c')", **ts); - return number; -} -static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { - PyErr_Format(PyExc_ValueError, - "Unexpected format string character: '%c'", ch); -} -static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { - switch (ch) { - case '?': return "'bool'"; - case 'c': return "'char'"; - case 'b': return "'signed char'"; - case 'B': return "'unsigned char'"; - case 'h': return "'short'"; - case 'H': return "'unsigned short'"; - case 'i': return "'int'"; - case 'I': return "'unsigned int'"; - case 'l': return "'long'"; - case 'L': return "'unsigned long'"; - case 'q': return "'long long'"; - case 'Q': return "'unsigned long long'"; - case 'f': return (is_complex ? "'complex float'" : "'float'"); - case 'd': return (is_complex ? "'complex double'" : "'double'"); - case 'g': return (is_complex ? "'complex long double'" : "'long double'"); - case 'T': return "a struct"; - case 'O': return "Python object"; - case 'P': return "a pointer"; - case 's': case 'p': return "a string"; - case 0: return "end"; - default: return "unparseable format string"; - } -} -static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return 2; - case 'i': case 'I': case 'l': case 'L': return 4; - case 'q': case 'Q': return 8; - case 'f': return (is_complex ? 8 : 4); - case 'd': return (is_complex ? 16 : 8); - case 'g': { - PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); - return 0; - } - case 'O': case 'P': return sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(short); - case 'i': case 'I': return sizeof(int); - case 'l': case 'L': return sizeof(long); - #ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(PY_LONG_LONG); - #endif - case 'f': return sizeof(float) * (is_complex ? 2 : 1); - case 'd': return sizeof(double) * (is_complex ? 2 : 1); - case 'g': return sizeof(long double) * (is_complex ? 2 : 1); - case 'O': case 'P': return sizeof(void*); - default: { - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } - } -} -typedef struct { char c; short x; } __Pyx_st_short; -typedef struct { char c; int x; } __Pyx_st_int; -typedef struct { char c; long x; } __Pyx_st_long; -typedef struct { char c; float x; } __Pyx_st_float; -typedef struct { char c; double x; } __Pyx_st_double; -typedef struct { char c; long double x; } __Pyx_st_longdouble; -typedef struct { char c; void *x; } __Pyx_st_void_p; -#ifdef HAVE_LONG_LONG -typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; -#endif -static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); - case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); - case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); -#ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); -#endif - case 'f': return sizeof(__Pyx_st_float) - sizeof(float); - case 'd': return sizeof(__Pyx_st_double) - sizeof(double); - case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); - case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -/* These are for computing the padding at the end of the struct to align - on the first member of the struct. This will probably the same as above, - but we don't have any guarantees. - */ -typedef struct { short x; char c; } __Pyx_pad_short; -typedef struct { int x; char c; } __Pyx_pad_int; -typedef struct { long x; char c; } __Pyx_pad_long; -typedef struct { float x; char c; } __Pyx_pad_float; -typedef struct { double x; char c; } __Pyx_pad_double; -typedef struct { long double x; char c; } __Pyx_pad_longdouble; -typedef struct { void *x; char c; } __Pyx_pad_void_p; -#ifdef HAVE_LONG_LONG -typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; -#endif -static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); - case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); - case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); -#ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); -#endif - case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); - case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); - case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); - case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { - switch (ch) { - case 'c': - return 'H'; - case 'b': case 'h': case 'i': - case 'l': case 'q': case 's': case 'p': - return 'I'; - case '?': case 'B': case 'H': case 'I': case 'L': case 'Q': - return 'U'; - case 'f': case 'd': case 'g': - return (is_complex ? 'C' : 'R'); - case 'O': - return 'O'; - case 'P': - return 'P'; - default: { - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } - } -} -static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { - if (ctx->head == NULL || ctx->head->field == &ctx->root) { - const char* expected; - const char* quote; - if (ctx->head == NULL) { - expected = "end"; - quote = ""; - } else { - expected = ctx->head->field->type->name; - quote = "'"; - } - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch, expected %s%s%s but got %s", - quote, expected, quote, - __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); - } else { - __Pyx_StructField* field = ctx->head->field; - __Pyx_StructField* parent = (ctx->head - 1)->field; - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", - field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), - parent->type->name, field->name); - } -} -static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { - char group; - size_t size, offset, arraysize = 1; - if (ctx->enc_type == 0) return 0; - if (ctx->head->field->type->arraysize[0]) { - int i, ndim = 0; - if (ctx->enc_type == 's' || ctx->enc_type == 'p') { - ctx->is_valid_array = ctx->head->field->type->ndim == 1; - ndim = 1; - if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { - PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %zu", - ctx->head->field->type->arraysize[0], ctx->enc_count); - return -1; - } - } - if (!ctx->is_valid_array) { - PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", - ctx->head->field->type->ndim, ndim); - return -1; - } - for (i = 0; i < ctx->head->field->type->ndim; i++) { - arraysize *= ctx->head->field->type->arraysize[i]; - } - ctx->is_valid_array = 0; - ctx->enc_count = 1; - } - group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); - do { - __Pyx_StructField* field = ctx->head->field; - __Pyx_TypeInfo* type = field->type; - if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { - size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); - } else { - size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); - } - if (ctx->enc_packmode == '@') { - size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); - size_t align_mod_offset; - if (align_at == 0) return -1; - align_mod_offset = ctx->fmt_offset % align_at; - if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; - if (ctx->struct_alignment == 0) - ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, - ctx->is_complex); - } - if (type->size != size || type->typegroup != group) { - if (type->typegroup == 'C' && type->fields != NULL) { - size_t parent_offset = ctx->head->parent_offset + field->offset; - ++ctx->head; - ctx->head->field = type->fields; - ctx->head->parent_offset = parent_offset; - continue; - } - if ((type->typegroup == 'H' || group == 'H') && type->size == size) { - } else { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - } - offset = ctx->head->parent_offset + field->offset; - if (ctx->fmt_offset != offset) { - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", - (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); - return -1; - } - ctx->fmt_offset += size; - if (arraysize) - ctx->fmt_offset += (arraysize - 1) * size; - --ctx->enc_count; - while (1) { - if (field == &ctx->root) { - ctx->head = NULL; - if (ctx->enc_count != 0) { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - break; - } - ctx->head->field = ++field; - if (field->type == NULL) { - --ctx->head; - field = ctx->head->field; - continue; - } else if (field->type->typegroup == 'S') { - size_t parent_offset = ctx->head->parent_offset + field->offset; - if (field->type->fields->type == NULL) continue; - field = field->type->fields; - ++ctx->head; - ctx->head->field = field; - ctx->head->parent_offset = parent_offset; - break; - } else { - break; - } - } - } while (ctx->enc_count); - ctx->enc_type = 0; - ctx->is_complex = 0; - return 0; -} -static PyObject * -__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) -{ - const char *ts = *tsp; - int i = 0, number; - int ndim = ctx->head->field->type->ndim; -; - ++ts; - if (ctx->new_count != 1) { - PyErr_SetString(PyExc_ValueError, - "Cannot handle repeated arrays in format string"); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - while (*ts && *ts != ')') { - switch (*ts) { - case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; - default: break; - } - number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return NULL; - if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) - return PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %d", - ctx->head->field->type->arraysize[i], number); - if (*ts != ',' && *ts != ')') - return PyErr_Format(PyExc_ValueError, - "Expected a comma in format string, got '%c'", *ts); - if (*ts == ',') ts++; - i++; - } - if (i != ndim) - return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", - ctx->head->field->type->ndim, i); - if (!*ts) { - PyErr_SetString(PyExc_ValueError, - "Unexpected end of format string, expected ')'"); - return NULL; - } - ctx->is_valid_array = 1; - ctx->new_count = 1; - *tsp = ++ts; - return Py_None; -} -static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { - int got_Z = 0; - while (1) { - switch(*ts) { - case 0: - if (ctx->enc_type != 0 && ctx->head == NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - if (ctx->head != NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - return ts; - case ' ': - case '\r': - case '\n': - ++ts; - break; - case '<': - if (!__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '>': - case '!': - if (__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '=': - case '@': - case '^': - ctx->new_packmode = *ts++; - break; - case 'T': - { - const char* ts_after_sub; - size_t i, struct_count = ctx->new_count; - size_t struct_alignment = ctx->struct_alignment; - ctx->new_count = 1; - ++ts; - if (*ts != '{') { - PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - ctx->enc_count = 0; - ctx->struct_alignment = 0; - ++ts; - ts_after_sub = ts; - for (i = 0; i != struct_count; ++i) { - ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); - if (!ts_after_sub) return NULL; - } - ts = ts_after_sub; - if (struct_alignment) ctx->struct_alignment = struct_alignment; - } - break; - case '}': - { - size_t alignment = ctx->struct_alignment; - ++ts; - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - if (alignment && ctx->fmt_offset % alignment) { - ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); - } - } - return ts; - case 'x': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->fmt_offset += ctx->new_count; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->enc_packmode = ctx->new_packmode; - ++ts; - break; - case 'Z': - got_Z = 1; - ++ts; - if (*ts != 'f' && *ts != 'd' && *ts != 'g') { - __Pyx_BufFmt_RaiseUnexpectedChar('Z'); - return NULL; - } - CYTHON_FALLTHROUGH; - case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': - case 'l': case 'L': case 'q': case 'Q': - case 'f': case 'd': case 'g': - case 'O': case 'p': - if (ctx->enc_type == *ts && got_Z == ctx->is_complex && - ctx->enc_packmode == ctx->new_packmode) { - ctx->enc_count += ctx->new_count; - ctx->new_count = 1; - got_Z = 0; - ++ts; - break; - } - CYTHON_FALLTHROUGH; - case 's': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_count = ctx->new_count; - ctx->enc_packmode = ctx->new_packmode; - ctx->enc_type = *ts; - ctx->is_complex = got_Z; - ++ts; - ctx->new_count = 1; - got_Z = 0; - break; - case ':': - ++ts; - while(*ts != ':') ++ts; - ++ts; - break; - case '(': - if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; - break; - default: - { - int number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return NULL; - ctx->new_count = (size_t)number; - } - } - } -} - -/* TypeInfoCompare */ - static int -__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) -{ - int i; - if (!a || !b) - return 0; - if (a == b) - return 1; - if (a->size != b->size || a->typegroup != b->typegroup || - a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { - if (a->typegroup == 'H' || b->typegroup == 'H') { - return a->size == b->size; - } else { - return 0; - } - } - if (a->ndim) { - for (i = 0; i < a->ndim; i++) - if (a->arraysize[i] != b->arraysize[i]) - return 0; - } - if (a->typegroup == 'S') { - if (a->flags != b->flags) - return 0; - if (a->fields || b->fields) { - if (!(a->fields && b->fields)) - return 0; - for (i = 0; a->fields[i].type && b->fields[i].type; i++) { - __Pyx_StructField *field_a = a->fields + i; - __Pyx_StructField *field_b = b->fields + i; - if (field_a->offset != field_b->offset || - !__pyx_typeinfo_cmp(field_a->type, field_b->type)) - return 0; - } - return !a->fields[i].type && !b->fields[i].type; - } - } - return 1; -} - -/* MemviewSliceValidateAndInit */ - static int -__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) -{ - if (buf->shape[dim] <= 1) - return 1; - if (buf->strides) { - if (spec & __Pyx_MEMVIEW_CONTIG) { - if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { - if (buf->strides[dim] != sizeof(void *)) { - PyErr_Format(PyExc_ValueError, - "Buffer is not indirectly contiguous " - "in dimension %d.", dim); - goto fail; - } - } else if (buf->strides[dim] != buf->itemsize) { - PyErr_SetString(PyExc_ValueError, - "Buffer and memoryview are not contiguous " - "in the same dimension."); - goto fail; - } - } - if (spec & __Pyx_MEMVIEW_FOLLOW) { - Py_ssize_t stride = buf->strides[dim]; - if (stride < 0) - stride = -stride; - if (stride < buf->itemsize) { - PyErr_SetString(PyExc_ValueError, - "Buffer and memoryview are not contiguous " - "in the same dimension."); - goto fail; - } - } - } else { - if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) { - PyErr_Format(PyExc_ValueError, - "C-contiguous buffer is not contiguous in " - "dimension %d", dim); - goto fail; - } else if (spec & (__Pyx_MEMVIEW_PTR)) { - PyErr_Format(PyExc_ValueError, - "C-contiguous buffer is not indirect in " - "dimension %d", dim); - goto fail; - } else if (buf->suboffsets) { - PyErr_SetString(PyExc_ValueError, - "Buffer exposes suboffsets but no strides"); - goto fail; - } - } - return 1; -fail: - return 0; -} -static int -__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) -{ - if (spec & __Pyx_MEMVIEW_DIRECT) { - if (buf->suboffsets && buf->suboffsets[dim] >= 0) { - PyErr_Format(PyExc_ValueError, - "Buffer not compatible with direct access " - "in dimension %d.", dim); - goto fail; - } - } - if (spec & __Pyx_MEMVIEW_PTR) { - if (!buf->suboffsets || (buf->suboffsets[dim] < 0)) { - PyErr_Format(PyExc_ValueError, - "Buffer is not indirectly accessible " - "in dimension %d.", dim); - goto fail; - } - } - return 1; -fail: - return 0; -} -static int -__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) -{ - int i; - if (c_or_f_flag & __Pyx_IS_F_CONTIG) { - Py_ssize_t stride = 1; - for (i = 0; i < ndim; i++) { - if (stride * buf->itemsize != buf->strides[i] && - buf->shape[i] > 1) - { - PyErr_SetString(PyExc_ValueError, - "Buffer not fortran contiguous."); - goto fail; - } - stride = stride * buf->shape[i]; - } - } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { - Py_ssize_t stride = 1; - for (i = ndim - 1; i >- 1; i--) { - if (stride * buf->itemsize != buf->strides[i] && - buf->shape[i] > 1) { - PyErr_SetString(PyExc_ValueError, - "Buffer not C contiguous."); - goto fail; - } - stride = stride * buf->shape[i]; - } - } - return 1; -fail: - return 0; -} -static int __Pyx_ValidateAndInit_memviewslice( - int *axes_specs, - int c_or_f_flag, - int buf_flags, - int ndim, - __Pyx_TypeInfo *dtype, - __Pyx_BufFmt_StackElem stack[], - __Pyx_memviewslice *memviewslice, - PyObject *original_obj) -{ - struct __pyx_memoryview_obj *memview, *new_memview; - __Pyx_RefNannyDeclarations - Py_buffer *buf; - int i, spec = 0, retval = -1; - __Pyx_BufFmt_Context ctx; - int from_memoryview = __pyx_memoryview_check(original_obj); - __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); - if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) - original_obj)->typeinfo)) { - memview = (struct __pyx_memoryview_obj *) original_obj; - new_memview = NULL; - } else { - memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( - original_obj, buf_flags, 0, dtype); - new_memview = memview; - if (unlikely(!memview)) - goto fail; - } - buf = &memview->view; - if (buf->ndim != ndim) { - PyErr_Format(PyExc_ValueError, - "Buffer has wrong number of dimensions (expected %d, got %d)", - ndim, buf->ndim); - goto fail; - } - if (new_memview) { - __Pyx_BufFmt_Init(&ctx, stack, dtype); - if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; - } - if ((unsigned) buf->itemsize != dtype->size) { - PyErr_Format(PyExc_ValueError, - "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " - "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", - buf->itemsize, - (buf->itemsize > 1) ? "s" : "", - dtype->name, - dtype->size, - (dtype->size > 1) ? "s" : ""); - goto fail; - } - for (i = 0; i < ndim; i++) { - spec = axes_specs[i]; - if (!__pyx_check_strides(buf, i, ndim, spec)) - goto fail; - if (!__pyx_check_suboffsets(buf, i, ndim, spec)) - goto fail; - } - if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)) - goto fail; - if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, - new_memview != NULL) == -1)) { - goto fail; - } - retval = 0; - goto no_fail; -fail: - Py_XDECREF(new_memview); - retval = -1; -no_fail: - __Pyx_RefNannyFinishContext(); - return retval; -} - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_int(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, - (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3, - &__Pyx_TypeInfo_int, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; -__pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; -} - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_float(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, - (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3, - &__Pyx_TypeInfo_float, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; -__pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; -} - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, - (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1, - &__Pyx_TypeInfo_int, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; -__pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; -} - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { - const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(int) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(int) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(int) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(int), - little, !is_unsigned); - } -} - -/* CIntFromPyVerify */ - #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) -#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) -#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ - {\ - func_type value = func_value;\ - if (sizeof(target_type) < sizeof(func_type)) {\ - if (unlikely(value != (func_type) (target_type) value)) {\ - func_type zero = 0;\ - if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ - return (target_type) -1;\ - if (is_unsigned && unlikely(value < zero))\ - goto raise_neg_overflow;\ - else\ - goto raise_overflow;\ - }\ - }\ - return (target_type) value;\ - } - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { - const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(long) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(long) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(long) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(long), - little, !is_unsigned); - } -} - -/* Declarations */ - #if CYTHON_CCOMPLEX - #ifdef __cplusplus - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - return ::std::complex< float >(x, y); - } - #else - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - return x + y*(__pyx_t_float_complex)_Complex_I; - } - #endif -#else - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - __pyx_t_float_complex z; - z.real = x; - z.imag = y; - return z; - } -#endif - -/* Arithmetic */ - #if CYTHON_CCOMPLEX -#else - static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - return (a.real == b.real) && (a.imag == b.imag); - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real + b.real; - z.imag = a.imag + b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real - b.real; - z.imag = a.imag - b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real * b.real - a.imag * b.imag; - z.imag = a.real * b.imag + a.imag * b.real; - return z; - } - #if 1 - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - if (b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); - } else if (fabsf(b.real) >= fabsf(b.imag)) { - if (b.real == 0 && b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag); - } else { - float r = b.imag / b.real; - float s = (float)(1.0) / (b.real + b.imag * r); - return __pyx_t_float_complex_from_parts( - (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); - } - } else { - float r = b.real / b.imag; - float s = (float)(1.0) / (b.imag + b.real * r); - return __pyx_t_float_complex_from_parts( - (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); - } - } - #else - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - if (b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); - } else { - float denom = b.real * b.real + b.imag * b.imag; - return __pyx_t_float_complex_from_parts( - (a.real * b.real + a.imag * b.imag) / denom, - (a.imag * b.real - a.real * b.imag) / denom); - } - } - #endif - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) { - __pyx_t_float_complex z; - z.real = -a.real; - z.imag = -a.imag; - return z; - } - static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) { - return (a.real == 0) && (a.imag == 0); - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) { - __pyx_t_float_complex z; - z.real = a.real; - z.imag = -a.imag; - return z; - } - #if 1 - static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) { - #if !defined(HAVE_HYPOT) || defined(_MSC_VER) - return sqrtf(z.real*z.real + z.imag*z.imag); - #else - return hypotf(z.real, z.imag); - #endif - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - float r, lnr, theta, z_r, z_theta; - if (b.imag == 0 && b.real == (int)b.real) { - if (b.real < 0) { - float denom = a.real * a.real + a.imag * a.imag; - a.real = a.real / denom; - a.imag = -a.imag / denom; - b.real = -b.real; - } - switch ((int)b.real) { - case 0: - z.real = 1; - z.imag = 0; - return z; - case 1: - return a; - case 2: - return __Pyx_c_prod_float(a, a); - case 3: - z = __Pyx_c_prod_float(a, a); - return __Pyx_c_prod_float(z, a); - case 4: - z = __Pyx_c_prod_float(a, a); - return __Pyx_c_prod_float(z, z); - } - } - if (a.imag == 0) { - if (a.real == 0) { - return a; - } else if (b.imag == 0) { - z.real = powf(a.real, b.real); - z.imag = 0; - return z; - } else if (a.real > 0) { - r = a.real; - theta = 0; - } else { - r = -a.real; - theta = atan2f(0.0, -1.0); - } - } else { - r = __Pyx_c_abs_float(a); - theta = atan2f(a.imag, a.real); - } - lnr = logf(r); - z_r = expf(lnr * b.real - theta * b.imag); - z_theta = theta * b.real + lnr * b.imag; - z.real = z_r * cosf(z_theta); - z.imag = z_r * sinf(z_theta); - return z; - } - #endif -#endif - -/* Declarations */ - #if CYTHON_CCOMPLEX - #ifdef __cplusplus - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - return ::std::complex< double >(x, y); - } - #else - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - return x + y*(__pyx_t_double_complex)_Complex_I; - } - #endif -#else - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - __pyx_t_double_complex z; - z.real = x; - z.imag = y; - return z; - } -#endif - -/* Arithmetic */ - #if CYTHON_CCOMPLEX -#else - static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - return (a.real == b.real) && (a.imag == b.imag); - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real + b.real; - z.imag = a.imag + b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real - b.real; - z.imag = a.imag - b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real * b.real - a.imag * b.imag; - z.imag = a.real * b.imag + a.imag * b.real; - return z; - } - #if 1 - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - if (b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); - } else if (fabs(b.real) >= fabs(b.imag)) { - if (b.real == 0 && b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag); - } else { - double r = b.imag / b.real; - double s = (double)(1.0) / (b.real + b.imag * r); - return __pyx_t_double_complex_from_parts( - (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); - } - } else { - double r = b.real / b.imag; - double s = (double)(1.0) / (b.imag + b.real * r); - return __pyx_t_double_complex_from_parts( - (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); - } - } - #else - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - if (b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); - } else { - double denom = b.real * b.real + b.imag * b.imag; - return __pyx_t_double_complex_from_parts( - (a.real * b.real + a.imag * b.imag) / denom, - (a.imag * b.real - a.real * b.imag) / denom); - } - } - #endif - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) { - __pyx_t_double_complex z; - z.real = -a.real; - z.imag = -a.imag; - return z; - } - static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) { - return (a.real == 0) && (a.imag == 0); - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) { - __pyx_t_double_complex z; - z.real = a.real; - z.imag = -a.imag; - return z; - } - #if 1 - static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) { - #if !defined(HAVE_HYPOT) || defined(_MSC_VER) - return sqrt(z.real*z.real + z.imag*z.imag); - #else - return hypot(z.real, z.imag); - #endif - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - double r, lnr, theta, z_r, z_theta; - if (b.imag == 0 && b.real == (int)b.real) { - if (b.real < 0) { - double denom = a.real * a.real + a.imag * a.imag; - a.real = a.real / denom; - a.imag = -a.imag / denom; - b.real = -b.real; - } - switch ((int)b.real) { - case 0: - z.real = 1; - z.imag = 0; - return z; - case 1: - return a; - case 2: - return __Pyx_c_prod_double(a, a); - case 3: - z = __Pyx_c_prod_double(a, a); - return __Pyx_c_prod_double(z, a); - case 4: - z = __Pyx_c_prod_double(a, a); - return __Pyx_c_prod_double(z, z); - } - } - if (a.imag == 0) { - if (a.real == 0) { - return a; - } else if (b.imag == 0) { - z.real = pow(a.real, b.real); - z.imag = 0; - return z; - } else if (a.real > 0) { - r = a.real; - theta = 0; - } else { - r = -a.real; - theta = atan2(0.0, -1.0); - } - } else { - r = __Pyx_c_abs_double(a); - theta = atan2(a.imag, a.real); - } - lnr = log(r); - z_r = exp(lnr * b.real - theta * b.imag); - z_theta = theta * b.real + lnr * b.imag; - z.real = z_r * cos(z_theta); - z.imag = z_r * sin(z_theta); - return z; - } - #endif -#endif - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { - const enum NPY_TYPES neg_one = (enum NPY_TYPES) ((enum NPY_TYPES) 0 - (enum NPY_TYPES) 1), const_zero = (enum NPY_TYPES) 0; - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(enum NPY_TYPES) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(enum NPY_TYPES) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), - little, !is_unsigned); - } -} - -/* MemviewSliceCopyTemplate */ - static __Pyx_memviewslice -__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, - const char *mode, int ndim, - size_t sizeof_dtype, int contig_flag, - int dtype_is_object) -{ - __Pyx_RefNannyDeclarations - int i; - __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; - struct __pyx_memoryview_obj *from_memview = from_mvs->memview; - Py_buffer *buf = &from_memview->view; - PyObject *shape_tuple = NULL; - PyObject *temp_int = NULL; - struct __pyx_array_obj *array_obj = NULL; - struct __pyx_memoryview_obj *memview_obj = NULL; - __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); - for (i = 0; i < ndim; i++) { - if (from_mvs->suboffsets[i] >= 0) { - PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " - "indirect dimensions (axis %d)", i); - goto fail; - } - } - shape_tuple = PyTuple_New(ndim); - if (unlikely(!shape_tuple)) { - goto fail; - } - __Pyx_GOTREF(shape_tuple); - for(i = 0; i < ndim; i++) { - temp_int = PyInt_FromSsize_t(from_mvs->shape[i]); - if(unlikely(!temp_int)) { - goto fail; - } else { - PyTuple_SET_ITEM(shape_tuple, i, temp_int); - temp_int = NULL; - } - } - array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); - if (unlikely(!array_obj)) { - goto fail; - } - __Pyx_GOTREF(array_obj); - memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( - (PyObject *) array_obj, contig_flag, - dtype_is_object, - from_mvs->memview->typeinfo); - if (unlikely(!memview_obj)) - goto fail; - if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) - goto fail; - if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, - dtype_is_object) < 0)) - goto fail; - goto no_fail; -fail: - __Pyx_XDECREF(new_mvs.memview); - new_mvs.memview = NULL; - new_mvs.data = NULL; -no_fail: - __Pyx_XDECREF(shape_tuple); - __Pyx_XDECREF(temp_int); - __Pyx_XDECREF(array_obj); - __Pyx_RefNannyFinishContext(); - return new_mvs; -} - -/* CIntFromPy */ - static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { - const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if (sizeof(int) < sizeof(long)) { - __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (int) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)x)->ob_digit; - switch (Py_SIZE(x)) { - case 0: return (int) 0; - case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0]) - case 2: - if (8 * sizeof(int) > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) { - return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 3: - if (8 * sizeof(int) > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) { - return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 4: - if (8 * sizeof(int) > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) { - return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (int) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if (sizeof(int) <= sizeof(unsigned long)) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)x)->ob_digit; - switch (Py_SIZE(x)) { - case 0: return (int) 0; - case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0])) - case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0]) - case -2: - if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { - return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 2: - if (8 * sizeof(int) > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { - return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -3: - if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { - return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 3: - if (8 * sizeof(int) > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { - return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -4: - if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { - return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 4: - if (8 * sizeof(int) > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { - return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - } -#endif - if (sizeof(int) <= sizeof(long)) { - __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { -#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) - PyErr_SetString(PyExc_RuntimeError, - "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); -#else - int val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); - #if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } - #endif - if (likely(v)) { - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - int ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); - Py_DECREF(v); - if (likely(!ret)) - return val; - } -#endif - return (int) -1; - } - } else { - int val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (int) -1; - val = __Pyx_PyInt_As_int(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to int"); - return (int) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to int"); - return (int) -1; -} - -/* CIntFromPy */ - static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { - const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if (sizeof(long) < sizeof(long)) { - __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (long) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)x)->ob_digit; - switch (Py_SIZE(x)) { - case 0: return (long) 0; - case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0]) - case 2: - if (8 * sizeof(long) > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) { - return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 3: - if (8 * sizeof(long) > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) { - return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 4: - if (8 * sizeof(long) > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) { - return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (long) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if (sizeof(long) <= sizeof(unsigned long)) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)x)->ob_digit; - switch (Py_SIZE(x)) { - case 0: return (long) 0; - case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0])) - case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0]) - case -2: - if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { - return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 2: - if (8 * sizeof(long) > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { - return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -3: - if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { - return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 3: - if (8 * sizeof(long) > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { - return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -4: - if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { - return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 4: - if (8 * sizeof(long) > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { - return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - } -#endif - if (sizeof(long) <= sizeof(long)) { - __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { -#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) - PyErr_SetString(PyExc_RuntimeError, - "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); -#else - long val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); - #if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } - #endif - if (likely(v)) { - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - int ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); - Py_DECREF(v); - if (likely(!ret)) - return val; - } -#endif - return (long) -1; - } - } else { - long val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (long) -1; - val = __Pyx_PyInt_As_long(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to long"); - return (long) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to long"); - return (long) -1; -} - -/* CIntFromPy */ - static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { - const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0; - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if (sizeof(char) < sizeof(long)) { - __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (char) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)x)->ob_digit; - switch (Py_SIZE(x)) { - case 0: return (char) 0; - case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0]) - case 2: - if (8 * sizeof(char) > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) { - return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - case 3: - if (8 * sizeof(char) > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) { - return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - case 4: - if (8 * sizeof(char) > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) { - return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (char) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if (sizeof(char) <= sizeof(unsigned long)) { - __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)x)->ob_digit; - switch (Py_SIZE(x)) { - case 0: return (char) 0; - case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0])) - case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0]) - case -2: - if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { - return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 2: - if (8 * sizeof(char) > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { - return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case -3: - if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { - return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 3: - if (8 * sizeof(char) > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { - return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case -4: - if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { - return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 4: - if (8 * sizeof(char) > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { - return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - } -#endif - if (sizeof(char) <= sizeof(long)) { - __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { -#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) - PyErr_SetString(PyExc_RuntimeError, - "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); -#else - char val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); - #if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } - #endif - if (likely(v)) { - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - int ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); - Py_DECREF(v); - if (likely(!ret)) - return val; - } -#endif - return (char) -1; - } - } else { - char val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (char) -1; - val = __Pyx_PyInt_As_char(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to char"); - return (char) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to char"); - return (char) -1; -} - -/* CheckBinaryVersion */ - static int __Pyx_check_binary_version(void) { - char ctversion[4], rtversion[4]; - PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); - PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); - if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { - char message[200]; - PyOS_snprintf(message, sizeof(message), - "compiletime version %s of module '%.100s' " - "does not match runtime version %s", - ctversion, __Pyx_MODULE_NAME, rtversion); - return PyErr_WarnEx(NULL, message, 1); - } - return 0; -} - -/* InitStrings */ - static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { - while (t->p) { - #if PY_MAJOR_VERSION < 3 - if (t->is_unicode) { - *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); - } else if (t->intern) { - *t->p = PyString_InternFromString(t->s); - } else { - *t->p = PyString_FromStringAndSize(t->s, t->n - 1); - } - #else - if (t->is_unicode | t->is_str) { - if (t->intern) { - *t->p = PyUnicode_InternFromString(t->s); - } else if (t->encoding) { - *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); - } else { - *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); - } - } else { - *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); - } - #endif - if (!*t->p) - return -1; - if (PyObject_Hash(*t->p) == -1) - return -1; - ++t; - } - return 0; -} - -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { - return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); -} -static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { - Py_ssize_t ignore; - return __Pyx_PyObject_AsStringAndSize(o, &ignore); -} -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT -#if !CYTHON_PEP393_ENABLED -static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - char* defenc_c; - PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); - if (!defenc) return NULL; - defenc_c = PyBytes_AS_STRING(defenc); -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - { - char* end = defenc_c + PyBytes_GET_SIZE(defenc); - char* c; - for (c = defenc_c; c < end; c++) { - if ((unsigned char) (*c) >= 128) { - PyUnicode_AsASCIIString(o); - return NULL; - } - } - } -#endif - *length = PyBytes_GET_SIZE(defenc); - return defenc_c; -} -#else -static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - if (likely(PyUnicode_IS_ASCII(o))) { - *length = PyUnicode_GET_LENGTH(o); - return PyUnicode_AsUTF8(o); - } else { - PyUnicode_AsASCIIString(o); - return NULL; - } -#else - return PyUnicode_AsUTF8AndSize(o, length); -#endif -} -#endif -#endif -static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT - if ( -#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - __Pyx_sys_getdefaultencoding_not_ascii && -#endif - PyUnicode_Check(o)) { - return __Pyx_PyUnicode_AsStringAndSize(o, length); - } else -#endif -#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) - if (PyByteArray_Check(o)) { - *length = PyByteArray_GET_SIZE(o); - return PyByteArray_AS_STRING(o); - } else -#endif - { - char* result; - int r = PyBytes_AsStringAndSize(o, &result, length); - if (unlikely(r < 0)) { - return NULL; - } else { - return result; - } - } -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { - int is_true = x == Py_True; - if (is_true | (x == Py_False) | (x == Py_None)) return is_true; - else return PyObject_IsTrue(x); -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { - int retval; - if (unlikely(!x)) return -1; - retval = __Pyx_PyObject_IsTrue(x); - Py_DECREF(x); - return retval; -} -static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { -#if PY_MAJOR_VERSION >= 3 - if (PyLong_Check(result)) { - if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, - "__int__ returned non-int (type %.200s). " - "The ability to return an instance of a strict subclass of int " - "is deprecated, and may be removed in a future version of Python.", - Py_TYPE(result)->tp_name)) { - Py_DECREF(result); - return NULL; - } - return result; - } -#endif - PyErr_Format(PyExc_TypeError, - "__%.4s__ returned non-%.4s (type %.200s)", - type_name, type_name, Py_TYPE(result)->tp_name); - Py_DECREF(result); - return NULL; -} -static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { -#if CYTHON_USE_TYPE_SLOTS - PyNumberMethods *m; -#endif - const char *name = NULL; - PyObject *res = NULL; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x) || PyLong_Check(x))) -#else - if (likely(PyLong_Check(x))) -#endif - return __Pyx_NewRef(x); -#if CYTHON_USE_TYPE_SLOTS - m = Py_TYPE(x)->tp_as_number; - #if PY_MAJOR_VERSION < 3 - if (m && m->nb_int) { - name = "int"; - res = m->nb_int(x); - } - else if (m && m->nb_long) { - name = "long"; - res = m->nb_long(x); - } - #else - if (likely(m && m->nb_int)) { - name = "int"; - res = m->nb_int(x); - } - #endif -#else - if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { - res = PyNumber_Int(x); - } -#endif - if (likely(res)) { -#if PY_MAJOR_VERSION < 3 - if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) { -#else - if (unlikely(!PyLong_CheckExact(res))) { -#endif - return __Pyx_PyNumber_IntOrLongWrongResultType(res, name); - } - } - else if (!PyErr_Occurred()) { - PyErr_SetString(PyExc_TypeError, - "an integer is required"); - } - return res; -} -static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { - Py_ssize_t ival; - PyObject *x; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_CheckExact(b))) { - if (sizeof(Py_ssize_t) >= sizeof(long)) - return PyInt_AS_LONG(b); - else - return PyInt_AsSsize_t(b); - } -#endif - if (likely(PyLong_CheckExact(b))) { - #if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)b)->ob_digit; - const Py_ssize_t size = Py_SIZE(b); - if (likely(__Pyx_sst_abs(size) <= 1)) { - ival = likely(size) ? digits[0] : 0; - if (size == -1) ival = -ival; - return ival; - } else { - switch (size) { - case 2: - if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { - return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -2: - if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case 3: - if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { - return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -3: - if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case 4: - if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { - return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -4: - if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - } - } - #endif - return PyLong_AsSsize_t(b); - } - x = PyNumber_Index(b); - if (!x) return -1; - ival = PyInt_AsSsize_t(x); - Py_DECREF(x); - return ival; -} -static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) { - return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False); -} -static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { - return PyInt_FromSize_t(ival); -} - - -#endif /* Py_PYTHON_H */ diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index b7700dfc..2ef92422 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -69,19 +69,18 @@ class GlowTts(nn.Module): self.length_scale=1. self.encoder = Encoder(num_chars, - out_channels=out_channels, - hidden_channels=hidden_channels, - filter_channels=filter_channels, - filter_channels_dp=filter_channels_dp, - encoder_type=encoder_type, - num_heads=num_heads, - num_layers=num_layers_enc, - kernel_size=kernel_size, - dropout_p=dropout_p, - mean_only=mean_only, - use_prenet=use_encoder_prenet, - c_in_channels=c_in_channels) - + out_channels=out_channels, + hidden_channels=hidden_channels, + filter_channels=filter_channels, + filter_channels_dp=filter_channels_dp, + encoder_type=encoder_type, + num_heads=num_heads, + num_layers=num_layers_enc, + kernel_size=kernel_size, + dropout_p=dropout_p, + mean_only=mean_only, + use_prenet=use_encoder_prenet, + c_in_channels=c_in_channels) self.decoder = Decoder(out_channels, hidden_channels_dec or hidden_channels, diff --git a/TTS/utils/audio.py b/TTS/utils/audio.py index 7a13d14b..aaa14dfd 100644 --- a/TTS/utils/audio.py +++ b/TTS/utils/audio.py @@ -174,8 +174,9 @@ class AudioProcessor(object): for key in stats_config.keys(): if key in skip_parameters: continue - assert stats_config[key] == self.__dict__[key],\ - f" [!] Audio param {key} does not match the value used for computing mean-var stats. {stats_config[key]} vs {self.__dict__[key]}" + if key != 'sample_rate': + assert stats_config[key] == self.__dict__[key],\ + f" [!] Audio param {key} does not match the value used for computing mean-var stats. {stats_config[key]} vs {self.__dict__[key]}" return mel_mean, mel_std, linear_mean, linear_std, stats_config # pylint: disable=attribute-defined-outside-init @@ -322,6 +323,7 @@ class AudioProcessor(object): def load_wav(self, filename, sr=None): if sr is None: x, sr = sf.read(filename) + assert self.sample_rate == sr, "%s vs %s"%(self.sample_rate, sr) else: x, sr = librosa.load(filename, sr=sr) if self.do_trim_silence: @@ -329,7 +331,6 @@ class AudioProcessor(object): x = self.trim_silence(x) except ValueError: print(f' [!] File cannot be trimmed for silence - {filename}') - assert self.sample_rate == sr, "%s vs %s"%(self.sample_rate, sr) if self.do_sound_norm: x = self.sound_norm(x) return x diff --git a/TTS/vocoder/models/fullband_melgan_generator.py b/TTS/vocoder/models/fullband_melgan_generator.py new file mode 100644 index 00000000..9f90ee17 --- /dev/null +++ b/TTS/vocoder/models/fullband_melgan_generator.py @@ -0,0 +1,31 @@ +import torch + +from TTS.vocoder.models.melgan_generator import MelganGenerator + + +class FullbandMelganGenerator(MelganGenerator): + def __init__(self, + in_channels=80, + out_channels=1, + proj_kernel=7, + base_channels=512, + upsample_factors=(2, 8, 2, 2), + res_kernel=3, + num_res_blocks=4): + super(FullbandMelganGenerator, + self).__init__(in_channels=in_channels, + out_channels=out_channels, + proj_kernel=proj_kernel, + base_channels=base_channels, + upsample_factors=upsample_factors, + res_kernel=res_kernel, + num_res_blocks=num_res_blocks) + + @torch.no_grad() + def inference(self, cond_features): + cond_features = cond_features.to(self.layers[1].weight.device) + cond_features = torch.nn.functional.pad( + cond_features, + (self.inference_padding, self.inference_padding), + 'replicate') + return self.layers(cond_features) diff --git a/TTS/vocoder/utils/generic_utils.py b/TTS/vocoder/utils/generic_utils.py index 4b9a7c3f..89dc68fb 100644 --- a/TTS/vocoder/utils/generic_utils.py +++ b/TTS/vocoder/utils/generic_utils.py @@ -67,6 +67,15 @@ def setup_generator(c): upsample_factors=c.generator_model_params['upsample_factors'], res_kernel=3, num_res_blocks=c.generator_model_params['num_res_blocks']) + if c.generator_model in 'fullband_melgan_generator': + model = MyModel( + in_channels=c.audio['num_mels'], + out_channels=1, + proj_kernel=7, + base_channels=512, + upsample_factors=c.generator_model_params['upsample_factors'], + res_kernel=3, + num_res_blocks=c.generator_model_params['num_res_blocks']) if c.generator_model in 'parallel_wavegan_generator': model = MyModel( in_channels=1, From e4c63866030b33aa452dccf3729634952ae87a20 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 21 Sep 2020 13:09:52 +0200 Subject: [PATCH 25/26] change import for normalization layer --- TTS/tts/layers/glow_tts/decoder.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/TTS/tts/layers/glow_tts/decoder.py b/TTS/tts/layers/glow_tts/decoder.py index 6256ee47..43811821 100644 --- a/TTS/tts/layers/glow_tts/decoder.py +++ b/TTS/tts/layers/glow_tts/decoder.py @@ -3,7 +3,8 @@ from torch import nn from torch.nn import functional as F from TTS.tts.utils.generic_utils import sequence_mask -from TTS.tts.layers.glow_tts.glow import InvConvNear, CouplingBlock, ActNorm +from TTS.tts.layers.glow_tts.glow import InvConvNear, CouplingBlock +from TTS.tts.layers.glow_tts.normalization import ActNorm def squeeze(x, x_mask=None, num_sqz=2): From e0b9fa887f94b69b14c98d52d923e70c3dba6c54 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 21 Sep 2020 14:15:40 +0200 Subject: [PATCH 26/26] glow-tts modules added --- TTS/bin/train_glow_tts.py | 31 ++-- TTS/tts/configs/glow_tts_gated_conv.json | 132 +++++++++++++++++ TTS/tts/configs/glow_tts_tdsep.json | 132 +++++++++++++++++ TTS/tts/layers/glow_tts/gated_conv.py | 44 ++++++ TTS/tts/layers/glow_tts/normalization.py | 101 +++++++++++++ .../layers/glow_tts/time_depth_sep_conv.py | 94 ++++++++++++ TTS/tts/models/glow_tts.py | 9 +- tests/test_glow_tts.py | 135 ++++++++++++++++++ 8 files changed, 656 insertions(+), 22 deletions(-) create mode 100644 TTS/tts/configs/glow_tts_gated_conv.json create mode 100644 TTS/tts/configs/glow_tts_tdsep.json create mode 100644 TTS/tts/layers/glow_tts/gated_conv.py create mode 100644 TTS/tts/layers/glow_tts/normalization.py create mode 100644 TTS/tts/layers/glow_tts/time_depth_sep_conv.py create mode 100644 tests/test_glow_tts.py diff --git a/TTS/bin/train_glow_tts.py b/TTS/bin/train_glow_tts.py index 3d71dbd5..cf9d98d2 100644 --- a/TTS/bin/train_glow_tts.py +++ b/TTS/bin/train_glow_tts.py @@ -10,37 +10,32 @@ import traceback import numpy as np import torch -from torch.utils.data import DataLoader from torch.nn.parallel import DistributedDataParallel as DDP - +from torch.utils.data import DataLoader from TTS.tts.datasets.preprocess import load_meta_data from TTS.tts.datasets.TTSDataset import MyDataset from TTS.tts.layers.losses import GlowTTSLoss -from TTS.utils.console_logger import ConsoleLogger -from TTS.tts.utils.distribute import (DistributedSampler, - init_distributed, - reduce_tensor) +from TTS.tts.utils.distribute import (DistributedSampler, init_distributed, + reduce_tensor) from TTS.tts.utils.generic_utils import check_config, setup_model from TTS.tts.utils.io import save_best_model, save_checkpoint from TTS.tts.utils.measures import alignment_diagonal_score -from TTS.tts.utils.speakers import (get_speakers, - load_speaker_mapping, - save_speaker_mapping) +from TTS.tts.utils.speakers import (get_speakers, load_speaker_mapping, + save_speaker_mapping) from TTS.tts.utils.synthesis import synthesis from TTS.tts.utils.text.symbols import make_symbols, phonemes, symbols from TTS.tts.utils.visual import plot_alignment, plot_spectrogram from TTS.utils.audio import AudioProcessor -from TTS.utils.generic_utils import ( - KeepAverage, count_parameters, create_experiment_folder, get_git_branch, - remove_experiment_folder, set_init_dict) +from TTS.utils.console_logger import ConsoleLogger +from TTS.utils.generic_utils import (KeepAverage, count_parameters, + create_experiment_folder, get_git_branch, + remove_experiment_folder, set_init_dict) from TTS.utils.io import copy_config_file, load_config from TTS.utils.radam import RAdam from TTS.utils.tensorboard_logger import TensorboardLogger -from TTS.utils.training import (NoamLR, adam_weight_decay, - check_update, - gradual_training_scheduler, - set_weight_decay, - setup_torch_training_env) +from TTS.utils.training import (NoamLR, adam_weight_decay, check_update, + gradual_training_scheduler, set_weight_decay, + setup_torch_training_env) use_cuda, num_gpus = setup_torch_training_env(True, False) @@ -116,7 +111,7 @@ def format_data(data): def data_depended_init(model, ap): - """Data depended initialization for normalization layers.""" + """Data depended initialization for activation normalization.""" if hasattr(model, 'module'): for f in model.module.decoder.flows: if getattr(f, "set_ddi", False): diff --git a/TTS/tts/configs/glow_tts_gated_conv.json b/TTS/tts/configs/glow_tts_gated_conv.json new file mode 100644 index 00000000..696bdaf7 --- /dev/null +++ b/TTS/tts/configs/glow_tts_gated_conv.json @@ -0,0 +1,132 @@ +{ + "model": "glow_tts", + "run_name": "glow-tts-gatedconv", + "run_description": "glow-tts model training with gated conv.", + + // AUDIO PARAMETERS + "audio":{ + "fft_size": 1024, // number of stft frequency levels. Size of the linear spectogram frame. + "win_length": 1024, // stft window length in ms. + "hop_length": 256, // stft window hop-lengh in ms. + "frame_length_ms": null, // stft window length in ms.If null, 'win_length' is used. + "frame_shift_ms": null, // stft window hop-lengh in ms. If null, 'hop_length' is used. + + // Audio processing parameters + "sample_rate": 22050, // DATASET-RELATED: wav sample-rate. If different than the original data, it is resampled. + "preemphasis": 0.0, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis. + "ref_level_db": 0, // reference level db, theoretically 20db is the sound of air. + + // Griffin-Lim + "power": 1.1, // value to sharpen wav signals after GL algorithm. + "griffin_lim_iters": 60,// #griffin-lim iterations. 30-60 is a good range. Larger the value, slower the generation. + + // Silence trimming + "do_trim_silence": true,// enable trimming of slience of audio as you load it. LJspeech (false), TWEB (false), Nancy (true) + "trim_db": 60, // threshold for timming silence. Set this according to your dataset. + + // MelSpectrogram parameters + "num_mels": 80, // size of the mel spec frame. + "mel_fmin": 50.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!! + "mel_fmax": 7600.0, // maximum freq level for mel-spec. Tune for dataset!! + "spec_gain": 1.0, // scaler value appplied after log transform of spectrogram. + + // Normalization parameters + "signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params. + "min_level_db": -100, // lower bound for normalization + "symmetric_norm": true, // move normalization to range [-1, 1] + "max_norm": 1.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm] + "clip_norm": true, // clip normalized values into the range. + "stats_path": "/home/erogol/Data/LJSpeech-1.1/scale_stats.npy" // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored + }, + + // VOCABULARY PARAMETERS + // if custom character set is not defined, + // default set in symbols.py is used + // "characters":{ + // "pad": "_", + // "eos": "~", + // "bos": "^", + // "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz!'(),-.:;? ", + // "punctuations":"!'(),-.:;? ", + // "phonemes":"iyɨʉɯuɪʏʊeøɘəɵɤoɛœɜɞʌɔæɐaɶɑɒᵻʘɓǀɗǃʄǂɠǁʛpbtdʈɖcɟkɡqɢʔɴŋɲɳnɱmʙrʀⱱɾɽɸβfvθðszʃʒʂʐçʝxɣχʁħʕhɦɬɮʋɹɻjɰlɭʎʟˈˌːˑʍwɥʜʢʡɕʑɺɧɚ˞ɫ" + // }, + + // DISTRIBUTED TRAINING + "distributed":{ + "backend": "nccl", + "url": "tcp:\/\/localhost:54321" + }, + + "reinit_layers": [], // give a list of layer names to restore from the given checkpoint. If not defined, it reloads all heuristically matching layers. + + // MODEL PARAMETERS + "use_mas": false, // use Monotonic Alignment Search if true. Otherwise use pre-computed attention alignments. + + // TRAINING + "batch_size": 32, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'. + "eval_batch_size":16, + "r": 1, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled. + "loss_masking": true, // enable / disable loss masking against the sequence padding. + + // VALIDATION + "run_eval": true, + "test_delay_epochs": 0, //Until attention is aligned, testing only wastes computation time. + "test_sentences_file": null, // set a file to load sentences to be used for testing. If it is null then we use default english sentences. + + // OPTIMIZER + "noam_schedule": true, // use noam warmup and lr schedule. + "grad_clip": 5.0, // upper limit for gradients for clipping. + "epochs": 10000, // total number of epochs to train. + "lr": 1e-3, // Initial learning rate. If Noam decay is active, maximum learning rate. + "wd": 0.000001, // Weight decay weight. + "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr" + "seq_len_norm": false, // Normalize eash sample loss with its length to alleviate imbalanced datasets. Use it if your dataset is small or has skewed distribution of sequence lengths. + + "encoder_type": "gatedconv", + + // TENSORBOARD and LOGGING + "print_step": 25, // Number of steps to log training on console. + "tb_plot_step": 100, // Number of steps to plot TB training figures. + "print_eval": false, // If True, it prints intermediate loss values in evalulation. + "save_step": 5000, // Number of training steps expected to save traninpg stats and checkpoints. + "checkpoint": true, // If true, it saves checkpoints per "save_step" + "tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging. + "apex_amp_level": null, + + // DATA LOADING + "text_cleaner": "phoneme_cleaners", + "enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars. + "num_loader_workers": 4, // number of training data loader processes. Don't set it too big. 4-8 are good values. + "num_val_loader_workers": 4, // number of evaluation data loader processes. + "batch_group_size": 0, //Number of batches to shuffle after bucketing. + "min_seq_len": 3, // DATASET-RELATED: minimum text length to use in training + "max_seq_len": 500, // DATASET-RELATED: maximum text length + "compute_f0": false, // compute f0 values in data-loader + + // PATHS + "output_path": "/home/erogol/Models/LJSpeech/", + + // PHONEMES + "phoneme_cache_path": "/home/erogol/Models/phoneme_cache/", // phoneme computation is slow, therefore, it caches results in the given folder. + "use_phonemes": true, // use phonemes instead of raw characters. It is suggested for better pronounciation. + "phoneme_language": "en-us", // depending on your target language, pick one from https://github.com/bootphon/phonemizer#languages + + // MULTI-SPEAKER and GST + "use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning. + "style_wav_for_test": null, // path to style wav file to be used in TacotronGST inference. + "use_gst": false, // TACOTRON ONLY: use global style tokens + + // DATASETS + "datasets": // List of datasets. They all merged and they get different speaker_ids. + [ + { + "name": "ljspeech", + "path": "/home/erogol/Data/LJSpeech-1.1/", + "meta_file_train": "metadata.csv", + "meta_file_val": null + // "path_for_attn": "/home/erogol/Data/LJSpeech-1.1/alignments/" + } + ] +} + + diff --git a/TTS/tts/configs/glow_tts_tdsep.json b/TTS/tts/configs/glow_tts_tdsep.json new file mode 100644 index 00000000..67047523 --- /dev/null +++ b/TTS/tts/configs/glow_tts_tdsep.json @@ -0,0 +1,132 @@ +{ + "model": "glow_tts", + "run_name": "glow-tts-tdsep-conv", + "run_description": "glow-tts model training with time-depth separable conv encoder.", + + // AUDIO PARAMETERS + "audio":{ + "fft_size": 1024, // number of stft frequency levels. Size of the linear spectogram frame. + "win_length": 1024, // stft window length in ms. + "hop_length": 256, // stft window hop-lengh in ms. + "frame_length_ms": null, // stft window length in ms.If null, 'win_length' is used. + "frame_shift_ms": null, // stft window hop-lengh in ms. If null, 'hop_length' is used. + + // Audio processing parameters + "sample_rate": 22050, // DATASET-RELATED: wav sample-rate. If different than the original data, it is resampled. + "preemphasis": 0.0, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis. + "ref_level_db": 0, // reference level db, theoretically 20db is the sound of air. + + // Griffin-Lim + "power": 1.1, // value to sharpen wav signals after GL algorithm. + "griffin_lim_iters": 60,// #griffin-lim iterations. 30-60 is a good range. Larger the value, slower the generation. + + // Silence trimming + "do_trim_silence": true,// enable trimming of slience of audio as you load it. LJspeech (false), TWEB (false), Nancy (true) + "trim_db": 60, // threshold for timming silence. Set this according to your dataset. + + // MelSpectrogram parameters + "num_mels": 80, // size of the mel spec frame. + "mel_fmin": 50.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!! + "mel_fmax": 7600.0, // maximum freq level for mel-spec. Tune for dataset!! + "spec_gain": 1.0, // scaler value appplied after log transform of spectrogram. + + // Normalization parameters + "signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params. + "min_level_db": -100, // lower bound for normalization + "symmetric_norm": true, // move normalization to range [-1, 1] + "max_norm": 1.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm] + "clip_norm": true, // clip normalized values into the range. + "stats_path": "/home/erogol/Data/LJSpeech-1.1/scale_stats.npy" // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored + }, + + // VOCABULARY PARAMETERS + // if custom character set is not defined, + // default set in symbols.py is used + // "characters":{ + // "pad": "_", + // "eos": "~", + // "bos": "^", + // "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz!'(),-.:;? ", + // "punctuations":"!'(),-.:;? ", + // "phonemes":"iyɨʉɯuɪʏʊeøɘəɵɤoɛœɜɞʌɔæɐaɶɑɒᵻʘɓǀɗǃʄǂɠǁʛpbtdʈɖcɟkɡqɢʔɴŋɲɳnɱmʙrʀⱱɾɽɸβfvθðszʃʒʂʐçʝxɣχʁħʕhɦɬɮʋɹɻjɰlɭʎʟˈˌːˑʍwɥʜʢʡɕʑɺɧɚ˞ɫ" + // }, + + // DISTRIBUTED TRAINING + "distributed":{ + "backend": "nccl", + "url": "tcp:\/\/localhost:54321" + }, + + "reinit_layers": [], // give a list of layer names to restore from the given checkpoint. If not defined, it reloads all heuristically matching layers. + + // MODEL PARAMETERS + "use_mas": false, // use Monotonic Alignment Search if true. Otherwise use pre-computed attention alignments. + + // TRAINING + "batch_size": 32, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'. + "eval_batch_size":16, + "r": 1, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled. + "loss_masking": true, // enable / disable loss masking against the sequence padding. + + // VALIDATION + "run_eval": true, + "test_delay_epochs": 0, //Until attention is aligned, testing only wastes computation time. + "test_sentences_file": null, // set a file to load sentences to be used for testing. If it is null then we use default english sentences. + + // OPTIMIZER + "noam_schedule": true, // use noam warmup and lr schedule. + "grad_clip": 5.0, // upper limit for gradients for clipping. + "epochs": 10000, // total number of epochs to train. + "lr": 1e-3, // Initial learning rate. If Noam decay is active, maximum learning rate. + "wd": 0.000001, // Weight decay weight. + "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr" + "seq_len_norm": false, // Normalize eash sample loss with its length to alleviate imbalanced datasets. Use it if your dataset is small or has skewed distribution of sequence lengths. + + "encoder_type": "time-depth-separable", + + // TENSORBOARD and LOGGING + "print_step": 25, // Number of steps to log training on console. + "tb_plot_step": 100, // Number of steps to plot TB training figures. + "print_eval": false, // If True, it prints intermediate loss values in evalulation. + "save_step": 5000, // Number of training steps expected to save traninpg stats and checkpoints. + "checkpoint": true, // If true, it saves checkpoints per "save_step" + "tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging. + "apex_amp_level": null, + + // DATA LOADING + "text_cleaner": "phoneme_cleaners", + "enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars. + "num_loader_workers": 4, // number of training data loader processes. Don't set it too big. 4-8 are good values. + "num_val_loader_workers": 4, // number of evaluation data loader processes. + "batch_group_size": 0, //Number of batches to shuffle after bucketing. + "min_seq_len": 3, // DATASET-RELATED: minimum text length to use in training + "max_seq_len": 500, // DATASET-RELATED: maximum text length + "compute_f0": false, // compute f0 values in data-loader + + // PATHS + "output_path": "/home/erogol/Models/LJSpeech/", + + // PHONEMES + "phoneme_cache_path": "/home/erogol/Models/phoneme_cache/", // phoneme computation is slow, therefore, it caches results in the given folder. + "use_phonemes": true, // use phonemes instead of raw characters. It is suggested for better pronounciation. + "phoneme_language": "en-us", // depending on your target language, pick one from https://github.com/bootphon/phonemizer#languages + + // MULTI-SPEAKER and GST + "use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning. + "style_wav_for_test": null, // path to style wav file to be used in TacotronGST inference. + "use_gst": false, // TACOTRON ONLY: use global style tokens + + // DATASETS + "datasets": // List of datasets. They all merged and they get different speaker_ids. + [ + { + "name": "ljspeech", + "path": "/home/erogol/Data/LJSpeech-1.1/", + "meta_file_train": "metadata.csv", + "meta_file_val": null + // "path_for_attn": "/home/erogol/Data/LJSpeech-1.1/alignments/" + } + ] + } + + diff --git a/TTS/tts/layers/glow_tts/gated_conv.py b/TTS/tts/layers/glow_tts/gated_conv.py new file mode 100644 index 00000000..2417ea63 --- /dev/null +++ b/TTS/tts/layers/glow_tts/gated_conv.py @@ -0,0 +1,44 @@ +import torch +from torch import nn + +from .normalization import LayerNorm + + +class GatedConvBlock(nn.Module): + """Gated convolutional block as in https://arxiv.org/pdf/1612.08083.pdf + Args: + in_out_channels (int): number of input/output channels. + kernel_size (int): convolution kernel size. + dropout_p (float): dropout rate. + """ + def __init__(self, in_out_channels, kernel_size, dropout_p, num_layers): + super().__init__() + # class arguments + self.dropout_p = dropout_p + self.num_layers = num_layers + # define layers + self.conv_layers = nn.ModuleList() + self.norm_layers = nn.ModuleList() + self.layers = nn.ModuleList() + for _ in range(num_layers): + self.conv_layers += [ + nn.Conv1d(in_out_channels, + 2 * in_out_channels, + kernel_size, + padding=kernel_size // 2) + ] + self.norm_layers += [LayerNorm(2 * in_out_channels)] + + def forward(self, x, x_mask): + o = x + res = x + for idx in range(self.num_layers): + o = nn.functional.dropout(o, + p=self.dropout_p, + training=self.training) + o = self.conv_layers[idx](o * x_mask) + o = self.norm_layers[idx](o) + o = nn.functional.glu(o, dim=1) + o = res + o + res = o + return o \ No newline at end of file diff --git a/TTS/tts/layers/glow_tts/normalization.py b/TTS/tts/layers/glow_tts/normalization.py new file mode 100644 index 00000000..70444abc --- /dev/null +++ b/TTS/tts/layers/glow_tts/normalization.py @@ -0,0 +1,101 @@ +import torch +from torch import nn + + +class LayerNorm(nn.Module): + def __init__(self, channels, eps=1e-4): + """Layer norm for the 2nd dimension of the input. + Args: + channels (int): number of channels (2nd dimension) of the input. + eps (float): to prevent 0 division + + Shapes: + - input: (B, C, T) + - output: (B, C, T) + """ + super().__init__() + self.channels = channels + self.eps = eps + + self.gamma = nn.Parameter(torch.ones(1, channels, 1) * 0.1) + self.beta = nn.Parameter(torch.zeros(1, channels, 1)) + + def forward(self, x): + mean = torch.mean(x, 1, keepdim=True) + variance = torch.mean((x - mean)**2, 1, keepdim=True) + x = (x - mean) * torch.rsqrt(variance + self.eps) + x = x * self.gamma + self.beta + return x + + +class TemporalBatchNorm1d(nn.BatchNorm1d): + """Normalize each channel separately over time and batch. + """ + def __init__(self, channels, affine=True, track_running_stats=True, momentum=0.1): + super(TemporalBatchNorm1d, self).__init__(channels, affine=affine, track_running_stats=track_running_stats, momentum=momentum) + + def forward(self, x): + return super().forward(x.transpose(2,1)).transpose(2,1) + + +class ActNorm(nn.Module): + """Activation Normalization bijector as an alternative to Batch Norm. It computes + mean and std from a sample data in advance and it uses these values + for normalization at training. + + Args: + channels (int): input channels. + ddi (False): data depended initialization flag. + + Shapes: + - inputs: (B, C, T) + - outputs: (B, C, T) + """ + + def __init__(self, channels, ddi=False, **kwargs): # pylint: disable=unused-argument + super().__init__() + self.channels = channels + self.initialized = not ddi + + self.logs = nn.Parameter(torch.zeros(1, channels, 1)) + self.bias = nn.Parameter(torch.zeros(1, channels, 1)) + + def forward(self, x, x_mask=None, reverse=False, **kwargs): # pylint: disable=unused-argument + if x_mask is None: + x_mask = torch.ones(x.size(0), 1, x.size(2)).to(device=x.device, + dtype=x.dtype) + x_len = torch.sum(x_mask, [1, 2]) + if not self.initialized: + self.initialize(x, x_mask) + self.initialized = True + + if reverse: + z = (x - self.bias) * torch.exp(-self.logs) * x_mask + logdet = None + else: + z = (self.bias + torch.exp(self.logs) * x) * x_mask + logdet = torch.sum(self.logs) * x_len # [b] + + return z, logdet + + def store_inverse(self): + pass + + def set_ddi(self, ddi): + self.initialized = not ddi + + def initialize(self, x, x_mask): + with torch.no_grad(): + denom = torch.sum(x_mask, [0, 2]) + m = torch.sum(x * x_mask, [0, 2]) / denom + m_sq = torch.sum(x * x * x_mask, [0, 2]) / denom + v = m_sq - (m**2) + logs = 0.5 * torch.log(torch.clamp_min(v, 1e-6)) + + bias_init = (-m * torch.exp(-logs)).view(*self.bias.shape).to( + dtype=self.bias.dtype) + logs_init = (-logs).view(*self.logs.shape).to( + dtype=self.logs.dtype) + + self.bias.data.copy_(bias_init) + self.logs.data.copy_(logs_init) \ No newline at end of file diff --git a/TTS/tts/layers/glow_tts/time_depth_sep_conv.py b/TTS/tts/layers/glow_tts/time_depth_sep_conv.py new file mode 100644 index 00000000..19fc7035 --- /dev/null +++ b/TTS/tts/layers/glow_tts/time_depth_sep_conv.py @@ -0,0 +1,94 @@ +import torch +from torch import nn + +from .normalization import LayerNorm + + +class TimeDepthSeparableConv(nn.Module): + """Time depth separable convolution as in https://arxiv.org/pdf/1904.02619.pdf + It shows competative results with less computation and memory footprint.""" + def __init__(self, + in_channels, + hid_channels, + out_channels, + kernel_size, + bias=True): + super(TimeDepthSeparableConv, self).__init__() + + self.in_channels = in_channels + self.out_channels = out_channels + self.hid_channels = hid_channels + self.kernel_size = kernel_size + + self.time_conv = nn.Conv1d( + in_channels, + 2 * hid_channels, + kernel_size=1, + stride=1, + padding=0, + bias=bias, + ) + self.norm1 = nn.BatchNorm1d(2 * hid_channels) + self.depth_conv = nn.Conv1d( + hid_channels, + hid_channels, + kernel_size, + stride=1, + padding=(kernel_size - 1) // 2, + groups=hid_channels, + bias=bias, + ) + self.norm2 = nn.BatchNorm1d(hid_channels) + self.time_conv2 = nn.Conv1d( + hid_channels, + out_channels, + kernel_size=1, + stride=1, + padding=0, + bias=bias, + ) + self.norm3 = nn.BatchNorm1d(out_channels) + + def forward(self, x): + x_res = x + x = self.time_conv(x) + x = self.norm1(x) + x = nn.functional.glu(x, dim=1) + x = self.depth_conv(x) + x = self.norm2(x) + x = x * torch.sigmoid(x) + x = self.time_conv2(x) + x = self.norm3(x) + x = x_res + x + return x + + +class TimeDepthSeparableConvBlock(nn.Module): + def __init__(self, + in_channels, + hid_channels, + out_channels, + num_layers, + kernel_size, + bias=True): + super(TimeDepthSeparableConvBlock, self).__init__() + assert (kernel_size - 1) % 2 == 0 + assert num_layers > 1 + + self.layers = nn.ModuleList() + layer = TimeDepthSeparableConv( + in_channels, hid_channels, + out_channels if num_layers == 1 else hid_channels, kernel_size, + bias) + self.layers.append(layer) + for idx in range(num_layers - 1): + layer = TimeDepthSeparableConv( + hid_channels, hid_channels, out_channels if + (idx + 1) == (num_layers - 1) else hid_channels, kernel_size, + bias) + self.layers.append(layer) + + def forward(self, x, mask): + for layer in self.layers: + x = layer(x * mask) + return x diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index 2ef92422..50f08c93 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -112,10 +112,11 @@ class GlowTts(nn.Module): def forward(self, x, x_lengths, y=None, y_lengths=None, attn=None, g=None): """ - x: B x T - x_lenghts: B - y: B x D x T - y_lengths: B + Shapes: + x: B x T + x_lenghts: B + y: B x C x T + y_lengths: B """ y_max_length = y.size(2) # norm speaker embeddings diff --git a/tests/test_glow_tts.py b/tests/test_glow_tts.py new file mode 100644 index 00000000..6f3cdb81 --- /dev/null +++ b/tests/test_glow_tts.py @@ -0,0 +1,135 @@ +import copy +import os +import unittest + +import torch +from tests import get_tests_input_path +from torch import nn, optim + +from TTS.tts.layers.losses import GlowTTSLoss +from TTS.tts.models.glow_tts import GlowTts +from TTS.utils.io import load_config +from TTS.utils.audio import AudioProcessor + +#pylint: disable=unused-variable + +torch.manual_seed(1) +use_cuda = torch.cuda.is_available() +device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + +c = load_config(os.path.join(get_tests_input_path(), 'test_config.json')) + +ap = AudioProcessor(**c.audio) +WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav") + + +def count_parameters(model): + r"""Count number of trainable parameters in a network""" + return sum(p.numel() for p in model.parameters() if p.requires_grad) + + +class GlowTTSTrainTest(unittest.TestCase): + @staticmethod + def test_train_step(): + input_dummy = torch.randint(0, 24, (8, 128)).long().to(device) + input_lengths = torch.randint(100, 129, (8, )).long().to(device) + input_lengths[-1] = 128 + mel_spec = torch.rand(8, c.audio['num_mels'], 30).to(device) + linear_spec = torch.rand(8, 30, c.audio['fft_size']).to(device) + mel_lengths = torch.randint(20, 30, (8, )).long().to(device) + speaker_ids = torch.randint(0, 5, (8, )).long().to(device) + + criterion = criterion = GlowTTSLoss() + + # model to train + model = GlowTts( + num_chars=32, + hidden_channels=128, + filter_channels=32, + filter_channels_dp=32, + out_channels=80, + kernel_size=3, + num_heads=2, + num_layers_enc=6, + dropout_p=0.1, + num_flow_blocks_dec=12, + kernel_size_dec=5, + dilation_rate=5, + num_block_layers=4, + dropout_p_dec=0., + num_speakers=0, + c_in_channels=0, + num_splits=4, + num_sqz=1, + sigmoid_scale=False, + rel_attn_window_size=None, + input_length=None, + mean_only=False, + hidden_channels_enc=None, + hidden_channels_dec=None, + use_encoder_prenet=False, + encoder_type="transformer" + ).to(device) + + # reference model to compare model weights + model_ref = GlowTts( + num_chars=32, + hidden_channels=128, + filter_channels=32, + filter_channels_dp=32, + out_channels=80, + kernel_size=3, + num_heads=2, + num_layers_enc=6, + dropout_p=0.1, + num_flow_blocks_dec=12, + kernel_size_dec=5, + dilation_rate=5, + num_block_layers=4, + dropout_p_dec=0., + num_speakers=0, + c_in_channels=0, + num_splits=4, + num_sqz=1, + sigmoid_scale=False, + rel_attn_window_size=None, + input_length=None, + mean_only=False, + hidden_channels_enc=None, + hidden_channels_dec=None, + use_encoder_prenet=False, + encoder_type="transformer" + ).to(device) + + model.train() + print(" > Num parameters for GlowTTS model:%s" % + (count_parameters(model))) + + # pass the state to ref model + model_ref.load_state_dict(copy.deepcopy(model.state_dict())) + + count = 0 + for param, param_ref in zip(model.parameters(), + model_ref.parameters()): + assert (param - param_ref).sum() == 0, param + count += 1 + + optimizer = optim.Adam(model.parameters(), lr=c.lr) + for _ in range(5): + z, logdet, y_mean, y_log_scale, alignments, o_dur_log, o_total_dur = model.forward( + input_dummy, input_lengths, mel_spec, mel_lengths, None) + optimizer.zero_grad() + loss_dict = criterion(z, y_mean, y_log_scale, logdet, mel_lengths, + o_dur_log, o_total_dur, input_lengths) + loss = loss_dict['loss'] + loss.backward() + optimizer.step() + + # check parameter changes + count = 0 + for param, param_ref in zip(model.parameters(), + model_ref.parameters()): + assert (param != param_ref).any( + ), "param {} with shape {} not updated!! \n{}\n{}".format( + count, param.shape, param, param_ref) + count += 1 \ No newline at end of file