diff --git a/examples/language/gpt/README.md b/examples/language/gpt/README.md new file mode 100644 index 000000000..2ee61897f --- /dev/null +++ b/examples/language/gpt/README.md @@ -0,0 +1,242 @@ +# Run GPT With Colossal-AI + +## Overview + +In Colossal-AI, there are many ways to run GPT in a distributed manner. The `train_gpt.py` script runs training with the specific configuration scripts in `gpt2_configs/` for different parallelisms of GPT-2 . We have provided some example configuration files of GPT-2 and you can modify them to adapt to your own use. + +## How to Prepare Webtext Dataset + +We do not host any datasets for GPT or BERT training, however, we provide a detailed guide on how to prepare the dataset so that our results may be reproduced. + +### Overview + +We utilize the publicly available [OpenWebText](https://github.com/eukaryote31/openwebtext) library by [jcpeterson](https://github.com/jcpeterson/openwebtext) and [eukaryote31's](https://github.com/eukaryote31/openwebtext) work to download urls to different web pages. We then filtered, cleaned, and deduplicated all downloaded content according to the procedure described in following section. + +### Install necessary packages + +**Note: LSH requires GCC's early version. We have tested that version 9.3.0 works, but version 10.3.0 is not.** + +```bash +pip install ftfy langdetect numpy torch pandas nltk sentencepiece boto3 tqdm regex bs4 newspaper3k htmlmin tldextract cached-path +git clone https://github.com/mattilyra/LSH.git +cd LSH +python setup.py install +``` + +If you couldn't install it successfully, you may try to replace the `cMinhash.cpp` in `LSH/lsh` with ours, which is provided in `tools/lsh/cMinhash.cpp`. + +### Download Data + +1. Download the deduplicated URLs from [jcpeterson](https://mega.nz/#F!EZZD0YwJ!9_PlEQzdMVLaNdKv_ICNVQ!cc4RgQQZ). + +2. Unzip the zip file and you will get a folder `URLs` which consists of many txt files including urls. + +3. Remove blacklisted URLs. + + *We appreciate Megatron-LM for making the data preprocessing code public. We have forked Megatron-LM and fixed some bugs. For your convenience, we have collated the needed files in `tools/Megatron`. Click [here](https://github.com/NVIDIA/Megatron-LM.git) to check the source code of Megatron-LM.* + + ```bash + cd path/to/tools + python Megatron/blacklist_urls.py + ``` + +4. Download the content from the clean urls and merge the contents into one loose json file with 1 json per newline of the format `{'text': text, 'url': unique_url}`. + + *We have forked and modified [openwebtext](https://github.com/yet-another-account/openwebtext) as there are some bugs in it. For your convenience, we provide our modified version in `tools/download`.* + + ```bash + python download/download.py --n_procs 50 --output + ``` + +### Prepare Data for GPT Training + +1. Perform ftfy, English detection and remove documents with less than 128 tokens. This step can be sharded and run on shards. + + ```bash + python Megatron/cleanup_dataset.py + ``` + + Additional cleanup (e.g. remove documents less than 512 characters or dataset specific cleaning like stories, realnews datasets) can be done using `cleanup_fix_dataset.py`. More details can be found by running `python cleanup_fix_dataset.py --help`. + +2. Using LSH, find possible duplicates and store them in a file for later processing. The code supports saving and loading fingerprints for recurrent deduplications, and is also multithreaded for faster processing. More details are can be found by `python find_duplicate.py --help`. + + ```bash + python Megatron/find_duplicates.py --inputs url --output + ``` + +3. Based on similarity measure defind inside function `is_similar` (default: 0.9), group urls that are similar. Basically, for each group, only one url we should keep and remove the rest. + + ```bash + python Megatron/group_duplicate_url.py + ``` + +4. Remove similar documents that were detected in the last step. The `dedup.json` is the data after deduplication. + + ```bash + python Megatron/remove_group_duplicates.py + ``` + +5. shuffle the dataset. + + ```bash + shuf -o + ``` + +## How to Prepare Yuan Dataset + +### Overview + +Yuan dataset is a large scale Chinese dataset with 1TB high quality texts proposed by Inspur. You can apply on https://air.inspur.com/home to get access to the dataset. We downloaded and loaded all downloaded content according to the procedure described in following section. + +### Download + +The dataset can be according to the website once your application is approved. + +You also need to download the vocab file from https://github.com/Shawn-Inspur/Yuan-1.0/blob/main/src/vocab.txt + +The final data dir should be organized as: + +``` +|--dataset +| |--001.txt +| |--002.txt +| |--... +|--vocab.txt +``` + +### Process & Load + +Before you run the code, you should replace line 44 in train_gpt.py with + +``` +import dataset.yuan import YuanDataset +train_ds = YuanDataset(os.environ['DATA'], vocab_path='/path/to/data/vocab.txt'seq_len=gpc.config.SEQ_LEN) +``` + +Then you can run model following the Usage section. The dataset will be processed when you run it for the first time, and save the cache. Then the data can be loaded automatically. + +## **Usage** + +```Bash +#!/usr/bin/env sh +export DATA=/path/to/train_data.json + +colossalai run --nproc_per_node= train_gpt.py --config=gpt2_configs/ +``` + +You can copy it and save it as `run.sh`. Then use `bash ./run.sh` to run the script in your terminal. + +Please modify `DATA`, `num_gpus` and `config_file` with the path to your dataset, the number of GPUs and the config file path, respectively. +If you are going to train gpt3, just replace `gpt2_configs` with `gpt3_configs`. + +## GPT-2 + +Here are the GPT-2 configs' default parameter: + +| config | scale | GPU* | batch size | MiB of each GPU | TP | PP | DP | +| ------------ | ----- | ---- | ----------- | --------------- | --- | --- | --- | +| gpt2-vanilla | small | 1 | 1 | 6071 | 1 | 1 | 1 | +| gpt2-vanilla | small | 2 | 1 | 6449*2 | 1 | 1 | 2 | +| gpt2-1d | small | 2 | 1 | 5287*2 | 2 | 1 | 1 | +| gpt2-2d | small | 4 | 1 | 4590*4 | 4 | 1 | 1 | +| gpt-2.5d | small | 8 | 1 | 4815*8 | 8 | 1 | 1 | +| gpt2-3d | small | 8 | 1 | 4901*8 | 8 | 1 | 1 | +| gpt2-pp | small | 2 | 1 | 5877*2 | 1 | 2 | 1 | +| gpt2-zero2 | small | 1 | 1 | 5459 | 1 | 1 | 1 | +| gpt2-zero3 | small | 1 | 1 | 6577 | 1 | 1 | 1 | +| gpt2-nvme | small | 1 | 1 | 5067 | 1 | 1 | 1 | +| gpt2-pp1d | small | 8 | 8 | 5411*8 | 2 | 2 | 2 | + +*\*Note: For GPUs, we use Nvidia A100 80G.* +*\*Note: Results of ZeRO are outdated, we will update them soon.* + +**We set** `TENSOR_PARALLEL` `PIPELINE_PARALLEL` **and** `DATA_PARALLEL` **as small as it can be to run every demo with the least number of GPUs.** + +### **Modify the config file** + +#### **General** + +There are some **general rules** when modifying the config files. + +```Plain%20Text +TP denotes Tensor Parallel +PP denotes Pipeline Parallel +DP denotes Data Parallel + +GPUS = TP * PP * DP +Where DP is autoseted +``` + +You can set the **batch size** and the **epoch** number by changing the number of +`BATCH_SIZE` and `NUM_EPOCHS`, respectively. Then, we will introduce the config file of each mode. + +Please note that `gpt2_zero3.py` has nothing but `BATCH_SIZE` and `NUM_EPOCHS` to change. + +#### **Vanilla & Data Parallel** + +`Vanilla` is the basic mode of GPT-2 with no parallelism at all. However, if you use more than 1 GPU and TP * PP < no. of GPUs, Colossal-AI will **set DP for you** **automatically**. + +#### **1D, 2D, 2.5D, 3D** + +In files `gpt2_1d.py, gpt2_2d.py, gpt2_2p5d.py, gpt2_3d.py`, there is a line: + +```Python +TENSOR_PARALLEL = 2 +``` + +You can modify it to use more tensor parallel, just with the general rules satisfied. +In particular, `TENSOR_PARALLEL` should be a square number and cubic number for 2D and 3D, +respectively, and `TENSOR_PARALLEL / DEPTH` should be a square number for 2.5D. + +#### **Pipeline Parallel** + +To use pipeline parallel training, you should install colossalai from the **latest** main branch. + +In `gpt2_pp.py`, there are lines: + +```Python +# BATCH_SIZE / NUM_MICRO_BATCHES should be an integer +NUM_MICRO_BATCHES = 1 +PIPELINE = 2 +``` + +#### **Pipeline + 1D + Data Parallel** + +In `gpt2_pp1d.py`, we have + +```Python +BATCH_SIZE = 8 +NUM_EPOCHS = 60 +NUM_MICRO_BATCHES = 1 +HIDDEN_SIZE = 768 +PIPELINE = 2 +TENSOR_PARALLEL = 2 +MODE = '1d' +TENSOR_SHAPE = (BATCH_SIZE // NUM_MICRO_BATCHES, SEQ_LEN, HIDDEN_SIZE) +``` + +We have introduced `BATCH_SIZE`, `NUM_EPOCHS`, `NUM_MICRO_BATCHES`, `PIPELINE`, `TENSOR_PARALLEL` as discussed above. +`HIDDEN_SIZE` refers to the hidden dimension of the model, i.e. `gpt2_small` is 768. +You can choose `None, '1d', '2d', '2.5d', '3d'` for `MODE`. + +## GPT-3 + +GPT-3 is a really huge model, for which it seems not possible to train it with a little number of GPUs. Therefore, we choose some common sets of parameters instead of the smallest ones. + +Here are our default parameters of GPT-3 configs: + +| config | GPU* | batch size | TP | PP | DP | +| -------------- | ---- | ---------- | --- | --- | --- | +| gpt3_pp1d_min | 96 | 192 | 4 | 24 | 1 | +| gpt3_pp1d | 128 | 192 | 4 | 32 | 1 | +| gpt3_pp2d | 96 | 2*48 | 4 | 24 | 1 | +| gpt3_pp2p5d | 96 | 2*48 | 4 | 24 | 1 | +| gpt3_zero3_min | 64 | 3 | 1 | 1 | 64 | +| gpt3_zero3 | 96 | 2 | 1 | 1 | 96 | + +*\*Note: we use Nvidia A100 40G GPUs* +*\*Note: Results of ZeRO are outdated, we will update them soon.* + +In the figure above, the suffix `_min` means the set of hyper-parameters requires the least number of GPUs with the same mode. + +GPT-3 and GPT-2 have the same set of hyper-parameters. diff --git a/examples/language/gpt/dataset/webtext.py b/examples/language/gpt/dataset/webtext.py new file mode 100644 index 000000000..70607b1d3 --- /dev/null +++ b/examples/language/gpt/dataset/webtext.py @@ -0,0 +1,39 @@ +import json +import os + +import torch +from torch.utils.data import Dataset + +from colossalai.registry import DATASETS +from transformers import GPT2Tokenizer + + +@DATASETS.register_module +class WebtextDataset(Dataset): + + def __init__(self, path, seq_len=1024) -> None: + super().__init__() + root = os.path.dirname(path) + encoded_data_cache_path = os.path.join(root, f'gpt_webtext_{seq_len}.pt') + if os.path.isfile(encoded_data_cache_path): + seq_len_, data, attention_mask = torch.load(encoded_data_cache_path) + if seq_len_ == seq_len: + self.data = data + self.attention_mask = attention_mask + return + raw_data = [] + with open(path) as f: + for line in f.readlines(): + raw_data.append(json.loads(line)['text']) + tokenizer = GPT2Tokenizer.from_pretrained('gpt2') + tokenizer.pad_token = tokenizer.unk_token + encoded_data = tokenizer(raw_data, padding=True, truncation=True, max_length=seq_len, return_tensors='pt') + self.data = encoded_data['input_ids'] + self.attention_mask = encoded_data['attention_mask'] + torch.save((seq_len, self.data, self.attention_mask), encoded_data_cache_path) + + def __len__(self): + return len(self.data) + + def __getitem__(self, index): + return {'input_ids': self.data[index], 'attention_mask': self.attention_mask[index]}, self.data[index] diff --git a/examples/language/gpt/dataset/yuan.py b/examples/language/gpt/dataset/yuan.py new file mode 100644 index 000000000..917a32f57 --- /dev/null +++ b/examples/language/gpt/dataset/yuan.py @@ -0,0 +1,329 @@ +import collections +import glob +import logging +import multiprocessing +import os +import sys + +import jieba +import six +import torch +from tools.tokenization_enc_dec import EncDecTokenizer +from torch.utils.data import Dataset +from tqdm import tqdm + +from colossalai.registry import DATASETS + +try: + import nltk + + nltk_available = True +except ImportError: + nltk_available = False + +jieba.setLogLevel(logging.INFO) +sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir))) +torch.backends.cudnn.deterministic = True +torch.backends.cudnn.benchmark = False + + +def is_contain_chinese(check_str): + for ch in check_str: + if u'\u4e00' <= ch <= u'\u9fff': + return True + return False + + +def convert_to_unicode(text): + """Converts `text` to Unicode (if it's not already), assuming utf-8 input.""" + if six.PY3: + if isinstance(text, str): + return text + elif isinstance(text, bytes): + return text.decode("utf-8", "ignore") + else: + raise ValueError("Unsupported string type: %s" % (type(text))) + else: + raise ValueError("Should be running on Python 3") + + +class WordpieceTokenizer(object): + + def __init__(self, vocab, unk_token="", max_input_chars_per_word=200): + self.vocab = vocab + self.unk_token = unk_token + self.max_input_chars_per_word = max_input_chars_per_word + + def tokenize(self, token): + + token = convert_to_unicode(token) + + chars = list(token) + if len(chars) > self.max_input_chars_per_word: + return [self.unk_token] + + start = 0 + sub_tokens = [] + while start < len(chars): + end = len(chars) + cur_substr = None + while start < end: + substr = "".join(chars[start:end]) + if is_contain_chinese(substr): + if substr in self.vocab: + cur_substr = substr + break + else: + if start > 0: + substr = "##" + substr + if substr in self.vocab: + cur_substr = substr + break + end -= 1 + if cur_substr is None: + sub_tokens.append(self.unk_token) + start += 1 + continue + sub_tokens.append(cur_substr) + start = end + + return sub_tokens + + +def load_vocab(vocab_file): + """Loads a vocabulary file into a dictionary.""" + vocab = collections.OrderedDict() + index = 0 + with open(vocab_file, "r", encoding='utf-8') as reader: + while True: + token = convert_to_unicode(reader.readline()) + if not token: + break + token = token.strip() + vocab[token] = index + index += 1 + return vocab + + +class EncDecTokenizer(object): + + def __init__(self, vocab_file, max_len=None, max_sentinels=190): + self.max_len = max_len if max_len is not None else int(1e12) + self.encoder = load_vocab(vocab_file) + self.decoder = {v: k for k, v in self.encoder.items()} + self.wordpiece_tokenizer = WordpieceTokenizer(vocab=self.encoder) + + self.translator = str.maketrans(" \n", "\u2582\u2583") + + self.sentinel_list = [self.encoder[''.format(i)] for i in range(max_sentinels)] + + self.en_vocab = {} + for k, v in self.encoder.items(): + if is_contain_chinese(k): + self.en_vocab[v] = False + else: + self.en_vocab[v] = True + self.en_vocab[10] = False + + @property + def vocab_size(self): + return len(self.encoder) + + def __len__(self): + return len(self.encoder) + + @property + def eod_id(self): + return self.encoder[self.eod_token] + + @property + def pad_id(self): + return self.encoder[self.pad_token] + + @property + def eod_token(self): + return '' + + @property + def pad_token(self): + return '' + + def get_sentinel_num(self): + return len(self.sentinel_list) + + def get_sentinel_id(self, idx): + return self.sentinel_list[idx] + + def tokenize(self, text): + """ Tokenize a string. """ + output_tokens = [] + for x in jieba.cut(text, cut_all=False): + x = x.translate(self.translator) + output_tokens.extend(self.wordpiece_tokenizer.tokenize(x)) + + # print(output_tokens) + + return output_tokens + + def encode(self, text): + output_tokens = [self.encoder[x] for x in self.tokenize(text)] + + # filter space + new_output_tokens = [output_tokens[0]] + for i, x in enumerate(output_tokens[1:-1]): + if x == 10: + if self.en_vocab[output_tokens[i]] and self.en_vocab[output_tokens[i + 2]]: + continue + new_output_tokens.append(x) + new_output_tokens.append(output_tokens[-1]) + + return new_output_tokens + + def decode(self, tokens): + new_tokens = [] + for i, x in enumerate(tokens[:-1]): + if self.en_vocab[x] and self.en_vocab[tokens[i + 1]]: + new_tokens.append(x) + new_tokens.append(10) + else: + new_tokens.append(x) + new_tokens.append(tokens[-1]) + + # text = ''.join([self.decoder[x] for x in new_tokens]) + # text = text.replace('\u2582', ' ').replace('\u2583', '\n') + # return text + return [self.decoder[x] for x in tokens] + + +class IdentitySplitter(object): + + @staticmethod + def tokenize(*text): + return text + + +class Encoder(object): + + def __init__(self, vocab_path, length, sentence_splitter): + self.vocab_path = vocab_path + self.length = length + self.sentence_splitter = sentence_splitter + self.tokenizer = EncDecTokenizer(os.path.join(self.vocab_path)) + self.splitter = IdentitySplitter() + + def initializer(self): + # Use Encoder class as a container for global data + pass + + def encode(self, line): + # end with + if len(line) > 20000: + return None, 0 + if len(line) < 10: + return None, 0 + data = line.strip().strip('') + data = data.replace("", "\n") + doc_ids = self.tokenizer.encode(data) + doc_ids.append(self.tokenizer.eod_id) + return doc_ids, len(line) + + +@DATASETS.register_module +class YuanDataset(Dataset): + """ + Yuan is an open source Chinese dataset, which can be accessed on https://github.com/Shawn-Inspur/Yuan-1.0. + + Args: + path(str): Path to dataset's folder, raw data should be organized under the folder as 001.txt, 002.txt... + eg:/path/yuan/dataset + vocab_path(str): Path to the vocab file. eg:/path/yuan/vocab.txt + seq_len(int): Sequence length of the transformer, defaults to 2048. + """ + + def __init__(self, path, vocab_path, seq_len=2048) -> None: + super().__init__() + + self.input_path = path + workers = 16 + sentence_splitter = None + self.vocab_path = vocab_path + self.pad_id = EncDecTokenizer(os.path.join(self.vocab_path)).pad_id + self.length = seq_len + + if self.input_path[-1] == '/': + self.input_path = self.input_path[:-1] + if os.path.exists(os.path.join(self.input_path, 'data_list.pt')): + self.data_path = torch.load(os.path.join(self.input_path, 'data_list.pt')) + return + + fin_list = glob.glob(self.input_path + '/0[0-9][0-9].txt') + self.data_path = [] + for fin_path in fin_list: + if not os.path.exists(fin_path): + continue + if '.txt' not in fin_path: + continue + + all_data = [] + print("Processing ", fin_path) + with open(fin_path, 'r', encoding='utf-8', errors='ignore') as fin: + + encoder = Encoder(self.vocab_path, seq_len, sentence_splitter) + pool = multiprocessing.Pool(workers, initializer=encoder.initializer) + encoded_docs = pool.imap_unordered(encoder.encode, fin, 30) + + for i, (no_noise_tokens, bytes_processed) in tqdm(enumerate(encoded_docs, start=1)): + if no_noise_tokens is None: + continue + all_data.append(no_noise_tokens) + + pool.close() + + print('Saving ', fin_path) + base_path = fin_path.replace('.txt', '') + if not os.path.exists(base_path): + os.mkdir(base_path) + idx = 0 + for d in tqdm(all_data): + idx += 1 + cur_path = os.path.join(base_path, str(idx) + '.txt') + with open(cur_path, 'w+', encoding='utf-8') as f: + for i in d: + f.write(str(i) + ' ') + f.write('\n') + self.data_path.append(cur_path.replace(self.input_path + '/', '')) + + torch.save(self.data_path, os.path.join(self.input_path, 'data_list.pt')) + + def __len__(self): + return len(self.data_path) + + def __getitem__(self, index): + path = self.data_path[index] + root = os.path.join(self.input_path, path) + with open(root, "r") as f: + data = f.readlines() + assert len(data) == 1 + data = data[0][:-2].split(' ') + try: + data = list(map(int, data)) + except: + while '' in data: + data.remove('') + data = list(map(int, data)) + if len(data) > self.length: + data = data[:self.length - 1] + [data[-1]] + mask = [1] * self.length + else: + data += [self.pad_id] * (self.length - len(data)) + mask = [1] * len(data) + [0] * (self.length - len(data)) + + data = torch.tensor(data) + mask = torch.tensor(mask) + return {'input_ids': data, 'attention_mask': mask}, data + + +if __name__ == '__main__': + dataset = YuanDataset('/data/gpt-yuan/ASC22/dataset', vocab_path='/data/gpt-yuan/ASC22/vocab.txt', seq_len=2048) + test = dataset.__getitem__(0) + print(test) diff --git a/examples/language/gpt/gpt2_configs/gpt2_1d.py b/examples/language/gpt/gpt2_configs/gpt2_1d.py new file mode 100644 index 000000000..f19c220a2 --- /dev/null +++ b/examples/language/gpt/gpt2_configs/gpt2_1d.py @@ -0,0 +1,31 @@ +from titans.loss.lm_loss import GPTLMLoss +from titans.model.gpt import gpt2_small +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 1 +SEQ_LEN = 1024 +NUM_EPOCHS = 60 + +TENSOR_PARALLEL = 2 + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +loss = dict(type=GPTLMLoss,) + +model = dict( + type=gpt2_small, + checkpoint=True, +) + +parallel = dict( + pipeline=1, + tensor=dict(size=TENSOR_PARALLEL, mode='1d'), +) diff --git a/examples/language/gpt/gpt2_configs/gpt2_2d.py b/examples/language/gpt/gpt2_configs/gpt2_2d.py new file mode 100644 index 000000000..dae9a0b4e --- /dev/null +++ b/examples/language/gpt/gpt2_configs/gpt2_2d.py @@ -0,0 +1,30 @@ +from titans.loss.lm_loss import GPTLMLoss +from titans.model.gpt import gpt2_small +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 4 +SEQ_LEN = 1024 +NUM_EPOCHS = 60 +TENSOR_PARALLEL = 4 + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +loss = dict(type=GPTLMLoss,) + +model = dict( + type=gpt2_small, + checkpoint=True, +) + +parallel = dict( + pipeline=1, + tensor=dict(size=TENSOR_PARALLEL, mode='2d'), +) diff --git a/examples/language/gpt/gpt2_configs/gpt2_2p5d.py b/examples/language/gpt/gpt2_configs/gpt2_2p5d.py new file mode 100644 index 000000000..5add79dbc --- /dev/null +++ b/examples/language/gpt/gpt2_configs/gpt2_2p5d.py @@ -0,0 +1,31 @@ +from titans.loss.lm_loss import GPTLMLoss +from titans.model.gpt import gpt2_small +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 4 +SEQ_LEN = 1024 +NUM_EPOCHS = 60 +TENSOR_PARALLEL = 8 +DEPTH = 2 + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +loss = dict(type=GPTLMLoss,) + +model = dict( + type=gpt2_small, + checkpoint=True, +) + +parallel = dict( + pipeline=1, + tensor=dict(size=TENSOR_PARALLEL, depth=DEPTH, mode='2.5d'), +) diff --git a/examples/language/gpt/gpt2_configs/gpt2_3d.py b/examples/language/gpt/gpt2_configs/gpt2_3d.py new file mode 100644 index 000000000..10f3ca4cb --- /dev/null +++ b/examples/language/gpt/gpt2_configs/gpt2_3d.py @@ -0,0 +1,30 @@ +from titans.loss.lm_loss import GPTLMLoss +from titans.model.gpt import gpt2_small +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 4 +SEQ_LEN = 1024 +NUM_EPOCHS = 60 +TENSOR_PARALLEL = 8 + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +loss = dict(type=GPTLMLoss,) + +model = dict( + type=gpt2_small, + checkpoint=True, +) + +parallel = dict( + pipeline=1, + tensor=dict(size=TENSOR_PARALLEL, mode='3d'), +) diff --git a/examples/language/gpt/gpt2_configs/gpt2_pp.py b/examples/language/gpt/gpt2_configs/gpt2_pp.py new file mode 100644 index 000000000..f3f8b4e1d --- /dev/null +++ b/examples/language/gpt/gpt2_configs/gpt2_pp.py @@ -0,0 +1,33 @@ +from titans.loss.lm_loss import GPTLMLoss +from titans.model.gpt import gpt2_small +#from model_zoo.gpt.gpt import gpt2_small_pipeline +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 8 +SEQ_LEN = 1024 +NUM_EPOCHS = 60 +HIDDEN_SIZE = 768 +NUM_MICRO_BATCHES = 4 +PIPELINE = 2 + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +loss = dict(type=GPTLMLoss,) + +model = dict( + type=gpt2_small, + checkpoint=True, +) + +parallel = dict( + pipeline=PIPELINE, + tensor=dict(size=1, mode=None), +) diff --git a/examples/language/gpt/gpt2_configs/gpt2_pp1d.py b/examples/language/gpt/gpt2_configs/gpt2_pp1d.py new file mode 100644 index 000000000..cd3863978 --- /dev/null +++ b/examples/language/gpt/gpt2_configs/gpt2_pp1d.py @@ -0,0 +1,35 @@ +import torch +from titans.loss.lm_loss import GPTLMLoss +from titans.loss.vocab_cross_entropy import vocab_parallel_cross_entropy +from titans.model.gpt import gpt2_small +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 8 +NUM_EPOCHS = 60 +SEQ_LEN = 1024 + +NUM_MICRO_BATCHES = 4 +HIDDEN_SIZE = 768 +PIPELINE = 2 +TENSOR_PARALLEL = 2 +MODE = '1d' + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +parallel = dict(pipeline=PIPELINE, tensor=dict(mode=MODE, size=TENSOR_PARALLEL)) + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +model = dict( + type=gpt2_small, + checkpoint=True, + dtype=torch.half, +) + +loss_fn = dict(type=vocab_parallel_cross_entropy) diff --git a/examples/language/gpt/gpt2_configs/gpt2_vanilla.py b/examples/language/gpt/gpt2_configs/gpt2_vanilla.py new file mode 100644 index 000000000..ee6ad6162 --- /dev/null +++ b/examples/language/gpt/gpt2_configs/gpt2_vanilla.py @@ -0,0 +1,26 @@ +from titans.model.gpt import gpt2_small +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 1 +NUM_EPOCHS = 60 +SEQ_LEN = 1024 + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +model = dict( + type=gpt2_small, + checkpoint=True, +) + +parallel = dict( + pipeline=1, + tensor=dict(size=1, mode=None), +) diff --git a/examples/language/gpt/gpt2_configs/gpt2_zero3.py b/examples/language/gpt/gpt2_configs/gpt2_zero3.py new file mode 100644 index 000000000..a108a3ef5 --- /dev/null +++ b/examples/language/gpt/gpt2_configs/gpt2_zero3.py @@ -0,0 +1,24 @@ +from titans.model.gpt import gpt2_small + +from colossalai.nn.optimizer import HybridAdam +from colossalai.zero.shard_utils import TensorShardStrategy + +BATCH_SIZE = 2 +NUM_EPOCHS = 60 +SEQ_LEN = 1024 + +zero = dict(model_config=dict(tensor_placement_policy='auto', + shard_strategy=TensorShardStrategy(), + reuse_fp16_shard=True), + optimizer_config=dict()) + +optimizer = dict( + type=HybridAdam, + lr=0.00015, + weight_decay=1e-2, +) + +model = dict( + type=gpt2_small, + checkpoint=True, +) diff --git a/examples/language/gpt/gpt2_configs/gpt2_zero3_pp1d.py b/examples/language/gpt/gpt2_configs/gpt2_zero3_pp1d.py new file mode 100644 index 000000000..51da810e4 --- /dev/null +++ b/examples/language/gpt/gpt2_configs/gpt2_zero3_pp1d.py @@ -0,0 +1,26 @@ +from model import GPT2_small_pipeline_hybrid + +from colossalai.nn.optimizer import HybridAdam +from colossalai.zero.shard_utils import BucketTensorShardStrategy, TensorShardStrategy + +BATCH_SIZE = 8 +NUM_EPOCHS = 60 +SEQ_LEN = 1024 +NUM_MICRO_BATCHES = 4 +HIDDEN_SIZE = 768 +TENSOR_SHAPE = (BATCH_SIZE // NUM_MICRO_BATCHES, SEQ_LEN, HIDDEN_SIZE) +zero = dict(model_config=dict(tensor_placement_policy='cpu', shard_strategy=BucketTensorShardStrategy()), + optimizer_config=dict()) + +optimizer = dict( + type=HybridAdam, + lr=0.00015, + weight_decay=1e-2, +) + +model = dict(type=GPT2_small_pipeline_hybrid, checkpoint=True, num_chunks=1) + +parallel = dict( + pipeline=2, + tensor=dict(size=2, mode='1d'), +) diff --git a/examples/language/gpt/gpt3_configs/gpt3_pp1d.py b/examples/language/gpt/gpt3_configs/gpt3_pp1d.py new file mode 100644 index 000000000..97db9fed4 --- /dev/null +++ b/examples/language/gpt/gpt3_configs/gpt3_pp1d.py @@ -0,0 +1,30 @@ +import torch +from titans.loss.vocab_cross_entropy import vocab_parallel_cross_entropy +from titans.model.gpt import gpt3 +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 192 +NUM_EPOCHS = 60 +SEQ_LEN = 2048 +NUM_MICRO_BATCHES = 192 +TENSOR_SHAPE = (BATCH_SIZE // NUM_MICRO_BATCHES, SEQ_LEN, 12288) + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +parallel = dict(pipeline=32, tensor=dict(mode='1d', size=4)) + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +model = dict( + type=gpt3, + checkpoint=True, + dtype=torch.half, +) + +loss_fn = dict(type=vocab_parallel_cross_entropy) diff --git a/examples/language/gpt/gpt3_configs/gpt3_pp1d_min.py b/examples/language/gpt/gpt3_configs/gpt3_pp1d_min.py new file mode 100644 index 000000000..9faaa385e --- /dev/null +++ b/examples/language/gpt/gpt3_configs/gpt3_pp1d_min.py @@ -0,0 +1,30 @@ +import torch +from titans.loss.vocab_cross_entropy import vocab_parallel_cross_entropy +from titans.model.gpt import gpt3 +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 192 +NUM_EPOCHS = 60 +SEQ_LEN = 2048 +NUM_MICRO_BATCHES = 192 +TENSOR_SHAPE = (BATCH_SIZE // NUM_MICRO_BATCHES, SEQ_LEN, 12288) + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +parallel = dict(pipeline=24, tensor=dict(mode='1d', size=4)) + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +model = dict( + type=gpt3, + checkpoint=True, + dtype=torch.half, +) + +loss_fn = dict(type=vocab_parallel_cross_entropy) diff --git a/examples/language/gpt/gpt3_configs/gpt3_pp2d.py b/examples/language/gpt/gpt3_configs/gpt3_pp2d.py new file mode 100644 index 000000000..5597f38b9 --- /dev/null +++ b/examples/language/gpt/gpt3_configs/gpt3_pp2d.py @@ -0,0 +1,27 @@ +import torch +from titans.model.gpt import gpt3 +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 2 * 48 +NUM_EPOCHS = 60 +SEQ_LEN = 2048 +NUM_MICRO_BATCHES = 48 +TENSOR_SHAPE = (BATCH_SIZE // NUM_MICRO_BATCHES // 2, SEQ_LEN, 12288 // 2) + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +parallel = dict(pipeline=24, tensor=dict(mode='2d', size=4)) + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +model = dict( + type=gpt3, + checkpoint=True, + dtype=torch.half, +) diff --git a/examples/language/gpt/gpt3_configs/gpt3_pp2p5d.py b/examples/language/gpt/gpt3_configs/gpt3_pp2p5d.py new file mode 100644 index 000000000..02d3c94e8 --- /dev/null +++ b/examples/language/gpt/gpt3_configs/gpt3_pp2p5d.py @@ -0,0 +1,27 @@ +import torch +from titans.model.gpt import gpt3 +from torch.optim import Adam + +from colossalai.amp import AMP_TYPE + +BATCH_SIZE = 2 * 48 +NUM_EPOCHS = 60 +SEQ_LEN = 2048 +NUM_MICRO_BATCHES = 48 +TENSOR_SHAPE = (BATCH_SIZE // NUM_MICRO_BATCHES // 2, SEQ_LEN, 12288 // 2) + +fp16 = dict(mode=AMP_TYPE.NAIVE) + +parallel = dict(pipeline=24, tensor=dict(mode='2.5d', depth=1, size=4)) + +optimizer = dict( + type=Adam, + lr=0.00015, + weight_decay=1e-2, +) + +model = dict( + type=gpt3, + checkpoint=True, + dtype=torch.half, +) diff --git a/examples/language/gpt/run.sh b/examples/language/gpt/run.sh new file mode 100644 index 000000000..bbf1b6d0e --- /dev/null +++ b/examples/language/gpt/run.sh @@ -0,0 +1,7 @@ +export DATA=/data/scratch/gpt_data/small-gpt-dataset.json + +export NODE_RANK=${NODE_RANK:-0} +export MASTER_ADDR=${MASTER_ADDR:-"127.0.0.1"} +export MASTER_PORT=${MASTER_PORT:-"12345"} + +env OMP_NUM_THREADS=16 torchrun --standalone --nproc_per_node=2 train_gpt.py 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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 +#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 +#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) +#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) : PyInstanceMethod_New(func)) +#else +#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass) +#endif +#if PY_VERSION_HEX >= 0x030500B1 +#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods +#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async) +#elif CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 +typedef struct { + unaryfunc am_await; + unaryfunc am_aiter; + unaryfunc am_anext; +} __Pyx_PyAsyncMethodsStruct; +#define __Pyx_PyType_AsAsync(obj) \ + ((__Pyx_PyAsyncMethodsStruct *)(Py_TYPE(obj)->tp_reserved)) +#else +#define __Pyx_PyType_AsAsync(obj) NULL +#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 +#define __Pyx_void_to_None(void_result) \ + ((void)(void_result), Py_INCREF(Py_None), Py_None) + +#ifndef __cplusplus +#error \ + "Cython files generated with the C++ option must be compiled with a C++ compiler." +#endif +#ifndef CYTHON_INLINE +#define CYTHON_INLINE inline +#endif +template +void __Pyx_call_destructor(T &x) { + x.~T(); +} +template +class __Pyx_FakeReference { + public: + __Pyx_FakeReference() : ptr(NULL) {} + __Pyx_FakeReference(const T &ref) : ptr(const_cast(&ref)) {} + T *operator->() { return ptr; } + operator T &() { return *ptr; } + + private: + T *ptr; +}; + +#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; \ + } + +#if PY_MAJOR_VERSION >= 3 +#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 + +#ifndef __PYX_EXTERN_C +#ifdef __cplusplus +#define __PYX_EXTERN_C extern "C" +#else +#define __PYX_EXTERN_C extern +#endif +#endif + +#define __PYX_HAVE__lsh__cMinhash +#define __PYX_HAVE_API__lsh__cMinhash +#include "MurmurHash3.h" +#include "numpy/arrayobject.h" +#include "numpy/ufuncobject.h" +#include "pystate.h" +#include "pythread.h" +#include "stdint.h" +#include "stdio.h" +#include "stdlib.h" +#include "string.h" +#ifdef _OPENMP +#include +#endif /* _OPENMP */ + +#ifdef PYREX_WITHOUT_ASSERTIONS +#define CYTHON_WITHOUT_ASSERTIONS +#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_NCP_UNUSED +#if CYTHON_COMPILING_IN_CPYTHON +#define CYTHON_NCP_UNUSED +#else +#define CYTHON_NCP_UNUSED CYTHON_UNUSED +#endif +#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_DEFAULT 0 +#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)))) +#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) && defined(_M_X64) +#define __Pyx_sst_abs(value) _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 char *__Pyx_PyObject_AsString(PyObject *); +static CYTHON_INLINE 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_PyObject_AsSString(s) ((signed char *)__Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsUString(s) \ + ((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) +#if PY_MAJOR_VERSION < 3 +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); +} +#else +#define __Pyx_Py_UNICODE_strlen Py_UNICODE_strlen +#endif +#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) +#define __Pyx_PyBool_FromLong(b) \ + ((b) ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False)) +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject *); +static CYTHON_INLINE PyObject *__Pyx_PyNumber_IntOrLong(PyObject *x); +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject *); +static CYTHON_INLINE PyObject *__Pyx_PyInt_FromSize_t(size_t); +#if CYTHON_COMPILING_IN_CPYTHON +#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)); + 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 PyObject *__pyx_m; +static PyObject *__pyx_d; +static PyObject *__pyx_b; +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; + +/* None.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[] = { + "lsh/cMinhash.pyx", + "__init__.pxd", + "stringsource", + "type.pxd", +}; +/* 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; + +/* 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; + +/* 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 + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":725 + * # 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":726 + * + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":727 + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":728 + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":732 + * #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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":733 + * + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":734 + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":735 + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":739 + * #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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":740 + * + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":749 + * # 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":750 + * # 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":751 + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":753 + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":754 + * + * ctypedef npy_ulong uint_t + * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< + * ctypedef npy_ulonglong ulonglong_t + * + */ +typedef npy_ulonglong __pyx_t_5numpy_ulong_t; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":755 + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":757 + * ctypedef npy_ulonglong ulonglong_t + * + * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< + * ctypedef npy_uintp uintp_t + * + */ +typedef npy_intp __pyx_t_5numpy_intp_t; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":758 + * + * ctypedef npy_intp intp_t + * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< + * + * ctypedef npy_double float_t + */ +typedef npy_uintp __pyx_t_5numpy_uintp_t; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":760 + * 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; + +/* "../../anaconda3/envs/skimit-extract/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":761 + * + * ctypedef npy_double float_t + * ctypedef npy_double double_t # <<<<<<<<<<<<<< + * ctypedef npy_longdouble longdouble_t + * + */ +typedef npy_double __pyx_t_5numpy_double_t; 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+static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, + PyObject **type, + PyObject **value, + PyObject **tb); +#else +#define __Pyx_ErrRestoreWithState(type, value, tb) \ + PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb) +#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb) +#endif + +/* RaiseException.proto */ +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, + PyObject *cause); + +/* DictGetItem.proto */ +#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()) { + PyObject *args = PyTuple_Pack(1, key); + if (likely(args)) PyErr_SetObject(PyExc_KeyError, args); + Py_XDECREF(args); + } + return NULL; + } + Py_INCREF(value); + return value; +} +#else +#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key) +#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); + +/* 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 *); + +/* 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)); + +/* SaveResetException.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +#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_COMPILING_IN_CPYTHON +#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_COMPILING_IN_CPYTHON +#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 + +/* SwapException.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +#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); + +/* 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 CYTHON_INLINE 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); + +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_COMPILING_IN_CPYTHON +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_CPYTHON +static PyObject *__Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, + int inplace); +#else +#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace) \ + (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_COMPILING_IN_CPYTHON +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 void __Pyx_RaiseUnboundLocalError(const char *varname); + +/* ForceInitThreads.proto */ +#ifndef __PYX_FORCE_INIT_THREADS +#define __PYX_FORCE_INIT_THREADS 0 +#endif + +/* None.proto */ +static CYTHON_INLINE long __Pyx_div_long(long, long); + +/* WriteUnraisableException.proto */ +static void __Pyx_WriteUnraisable(const char *name, int clineno, int lineno, + const char *filename, int full_traceback, + int nogil); + +/* 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); + +/* SetVTable.proto */ +static int __Pyx_SetVtable(PyObject *dict, void *vtable); + +/* 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; + +/* None.proto */ +static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0}; +static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1}; + +/* 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); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject *__Pyx_PyInt_From_uint32_t(uint32_t value); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject *__Pyx_PyInt_From_long(long value); + +/* None.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 + +/* None.proto */ +static CYTHON_INLINE __pyx_t_float_complex +__pyx_t_float_complex_from_parts(float, float); + +/* None.proto */ +#if CYTHON_CCOMPLEX +#define __Pyx_c_eqf(a, b) ((a) == (b)) +#define __Pyx_c_sumf(a, b) ((a) + (b)) +#define __Pyx_c_difff(a, b) ((a) - (b)) +#define __Pyx_c_prodf(a, b) ((a) * (b)) +#define __Pyx_c_quotf(a, b) ((a) / (b)) +#define __Pyx_c_negf(a) (-(a)) +#ifdef __cplusplus +#define __Pyx_c_is_zerof(z) ((z) == (float)0) +#define __Pyx_c_conjf(z) (::std::conj(z)) +#if 1 +#define __Pyx_c_absf(z) (::std::abs(z)) +#define __Pyx_c_powf(a, b) (::std::pow(a, b)) +#endif +#else +#define __Pyx_c_is_zerof(z) ((z) == 0) +#define __Pyx_c_conjf(z) (conjf(z)) +#if 1 +#define __Pyx_c_absf(z) (cabsf(z)) +#define __Pyx_c_powf(a, b) (cpowf(a, b)) +#endif +#endif +#else +static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, + __pyx_t_float_complex); +static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, + __pyx_t_float_complex); +static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, + __pyx_t_float_complex); +static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, + __pyx_t_float_complex); +static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, + __pyx_t_float_complex); +static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex); +static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex); +static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex); +#if 1 +static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex); +static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, + __pyx_t_float_complex); +#endif +#endif + +/* None.proto */ +static CYTHON_INLINE __pyx_t_double_complex +__pyx_t_double_complex_from_parts(double, double); + +/* None.proto */ +#if CYTHON_CCOMPLEX +#define __Pyx_c_eq(a, b) ((a) == (b)) +#define __Pyx_c_sum(a, b) ((a) + (b)) +#define __Pyx_c_diff(a, b) ((a) - (b)) +#define __Pyx_c_prod(a, b) ((a) * (b)) +#define __Pyx_c_quot(a, b) ((a) / (b)) +#define __Pyx_c_neg(a) (-(a)) +#ifdef __cplusplus +#define __Pyx_c_is_zero(z) ((z) == (double)0) +#define __Pyx_c_conj(z) (::std::conj(z)) +#if 1 +#define __Pyx_c_abs(z) (::std::abs(z)) +#define __Pyx_c_pow(a, b) (::std::pow(a, b)) +#endif +#else +#define __Pyx_c_is_zero(z) ((z) == 0) +#define __Pyx_c_conj(z) (conj(z)) +#if 1 +#define __Pyx_c_abs(z) (cabs(z)) +#define __Pyx_c_pow(a, b) (cpow(a, b)) +#endif +#endif +#else +static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, + __pyx_t_double_complex); +static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, + __pyx_t_double_complex); +static CYTHON_INLINE __pyx_t_double_complex + __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex); +static CYTHON_INLINE __pyx_t_double_complex + __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex); +static CYTHON_INLINE __pyx_t_double_complex + __Pyx_c_quot(__pyx_t_double_complex, __pyx_t_double_complex); +static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex); +static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex); +static CYTHON_INLINE __pyx_t_double_complex + __Pyx_c_conj(__pyx_t_double_complex); +#if 1 +static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex); +static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, + __pyx_t_double_complex); +#endif +#endif + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject *__Pyx_PyInt_From_int(int value); + +/* 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 uint32_t __Pyx_PyInt_As_uint32_t(PyObject *); + +/* CIntFromPy.proto */ +static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); + +/* CIntFromPy.proto */ +static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); + +/* 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_ds_nn_uint64_t(PyObject *); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice +__Pyx_PyObject_to_MemoryviewSlice_ds_nn_uint32_t(PyObject *); + +/* CheckBinaryVersion.proto */ +static int __Pyx_check_binary_version(void); + +/* PyIdentifierFromString.proto */ +#if !defined(__Pyx_PyIdentifier_FromString) +#if PY_MAJOR_VERSION < 3 +#define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s) +#else +#define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s) +#endif +#endif + +/* ModuleImport.proto */ +static PyObject *__Pyx_ImportModule(const char *name); + +/* TypeImport.proto */ +static PyTypeObject *__Pyx_ImportType(const char *module_name, + const char *class_name, size_t size, + int strict); + +/* 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 'cython.view' */ + +/* Module declarations from 'cython' */ + +/* Module declarations from 'libc.string' */ + +/* Module declarations from 'libc.stdlib' */ + +/* Module declarations from 'libc.stdint' */ + +/* Module declarations from 'cpython.buffer' */ + +/* 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 '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 'lsh.cMinhash' */ +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 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 __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_uint32_t = { + "uint32_t", + NULL, + sizeof(__pyx_t_5numpy_uint32_t), + {0}, + 0, + IS_UNSIGNED(__pyx_t_5numpy_uint32_t) ? 'U' : 'I', + IS_UNSIGNED(__pyx_t_5numpy_uint32_t), + 0}; +static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_uint64_t = { + "uint64_t", + NULL, + sizeof(__pyx_t_5numpy_uint64_t), + {0}, + 0, + IS_UNSIGNED(__pyx_t_5numpy_uint64_t) ? 'U' : 'I', + IS_UNSIGNED(__pyx_t_5numpy_uint64_t), + 0}; +static __Pyx_TypeInfo __Pyx_TypeInfo_nn_uint64_t = { + "uint64_t", + NULL, + sizeof(uint64_t), + {0}, + 0, + IS_UNSIGNED(uint64_t) ? 'U' : 'I', + IS_UNSIGNED(uint64_t), + 0}; +static __Pyx_TypeInfo __Pyx_TypeInfo_nn_uint32_t = { + "uint32_t", + NULL, + sizeof(uint32_t), + {0}, + 0, + IS_UNSIGNED(uint32_t) ? 'U' : 'I', + IS_UNSIGNED(uint32_t), + 0}; +#define __Pyx_MODULE_NAME "lsh.cMinhash" +int __pyx_module_is_main_lsh__cMinhash = 0; + +/* Implementation of 'lsh.cMinhash' */ +static PyObject *__pyx_builtin_range; +static PyObject *__pyx_builtin_ValueError; +static PyObject *__pyx_builtin_RuntimeError; +static PyObject *__pyx_builtin_MemoryError; +static PyObject *__pyx_builtin_enumerate; +static PyObject *__pyx_builtin_Ellipsis; +static PyObject *__pyx_builtin_TypeError; +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_i[] = "i"; +static const char __pyx_k_s[] = "s"; +static const char __pyx_k_id[] = "id"; +static const char __pyx_k_np[] = "np"; +static const char __pyx_k_obj[] = "obj"; +static const char __pyx_k_base[] = "base"; +static const char __pyx_k_hash[] = "hash_"; +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_test[] = "__test__"; +static const char __pyx_k_ASCII[] = "ASCII"; +static const char __pyx_k_c_str[] = "c_str"; +static const char __pyx_k_class[] = "__class__"; +static const char __pyx_k_dtype[] = "dtype"; +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_range[] = "range"; +static const char __pyx_k_seeds[] = "seeds"; +static const char __pyx_k_shape[] = "shape"; +static const char __pyx_k_start[] = "start"; +static const char __pyx_k_zeros[] = "zeros"; +static const char __pyx_k_author[] = "__author__"; +static const char __pyx_k_encode[] = "encode"; +static const char __pyx_k_format[] = "format"; +static const char __pyx_k_hashes[] = "hashes"; +static const char __pyx_k_import[] = "__import__"; +static const char __pyx_k_name_2[] = "__name__"; +static const char __pyx_k_strlen[] = "strlen"; +static const char __pyx_k_struct[] = "struct"; +static const char __pyx_k_uint32[] = "uint32"; +static const char __pyx_k_uint64[] = "uint64"; +static const char __pyx_k_unpack[] = "unpack"; +static const char __pyx_k_fortran[] = "fortran"; +static const char __pyx_k_memview[] = "memview"; +static const char __pyx_k_minhash[] = "minhash"; +static const char __pyx_k_Ellipsis[] = "Ellipsis"; +static const char __pyx_k_itemsize[] = "itemsize"; +static const char __pyx_k_mem_view[] = "mem_view"; +static const char __pyx_k_INT32_MAX[] = "INT32_MAX"; +static const char __pyx_k_INT64_MAX[] = "INT64_MAX"; +static const char __pyx_k_TypeError[] = "TypeError"; +static const char __pyx_k_enumerate[] = "enumerate"; +static const char __pyx_k_num_seeds[] = "num_seeds"; +static const char __pyx_k_IndexError[] = "IndexError"; +static const char __pyx_k_Matti_Lyra[] = "Matti Lyra"; +static const char __pyx_k_ValueError[] = "ValueError"; +static const char __pyx_k_char_ngram[] = "char_ngram"; +static const char __pyx_k_minhash_32[] = "minhash_32"; +static const char __pyx_k_minhash_64[] = "minhash_64"; +static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; +static const char __pyx_k_MemoryError[] = "MemoryError"; +static const char __pyx_k_fingerprint[] = "fingerprint"; +static const char __pyx_k_RuntimeError[] = "RuntimeError"; +static const char __pyx_k_lsh_cMinhash[] = "lsh.cMinhash"; +static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer"; +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_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_Users_miro_projects_LSH_lsh_cMi[] = + "/Users/miro/projects/LSH/lsh/cMinhash.pyx"; +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_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_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_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_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_INT32_MAX; +static PyObject *__pyx_n_s_INT64_MAX; +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_kp_s_Matti_Lyra; +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_RuntimeError; +static PyObject *__pyx_n_s_TypeError; +static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object; +static PyObject *__pyx_kp_s_Users_miro_projects_LSH_lsh_cMi; +static PyObject *__pyx_n_s_ValueError; +static PyObject *__pyx_n_s_allocate_buffer; +static PyObject *__pyx_n_s_author; +static PyObject *__pyx_n_s_base; +static PyObject *__pyx_n_s_c; +static PyObject *__pyx_n_u_c; +static PyObject *__pyx_n_s_c_str; +static PyObject *__pyx_n_s_char_ngram; +static PyObject *__pyx_n_s_class; +static PyObject *__pyx_kp_s_contiguous_and_direct; +static PyObject *__pyx_kp_s_contiguous_and_indirect; +static PyObject *__pyx_n_s_dtype; +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_fingerprint; +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_kp_s_got_differing_extents_in_dimensi; +static PyObject *__pyx_n_s_hash; +static PyObject *__pyx_n_s_hashes; +static PyObject *__pyx_n_s_i; +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_lsh_cMinhash; +static PyObject *__pyx_n_s_main; +static PyObject *__pyx_n_s_mem_view; +static PyObject *__pyx_n_s_memview; +static PyObject *__pyx_n_s_minhash; +static PyObject *__pyx_n_s_minhash_32; +static PyObject *__pyx_n_s_minhash_64; +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_np; +static PyObject *__pyx_n_s_num_seeds; +static PyObject *__pyx_n_s_numpy; +static PyObject *__pyx_n_s_obj; +static PyObject *__pyx_n_s_pack; +static PyObject *__pyx_n_s_pyx_getbuffer; +static PyObject *__pyx_n_s_pyx_vtable; +static PyObject *__pyx_n_s_range; +static PyObject *__pyx_n_s_s; +static PyObject *__pyx_n_s_seeds; +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_n_s_strlen; +static PyObject *__pyx_n_s_struct; +static PyObject *__pyx_n_s_test; +static PyObject *__pyx_n_s_uint32; +static PyObject *__pyx_n_s_uint64; +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_zeros; +static PyObject *__pyx_pf_3lsh_8cMinhash_minhash_64( + CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_c_str, int __pyx_v_strlen, + PyArrayObject *__pyx_v_seeds, int __pyx_v_char_ngram); /* proto */ +static PyObject *__pyx_pf_3lsh_8cMinhash_2minhash_32( + CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_c_str, int __pyx_v_strlen, + PyArrayObject *__pyx_v_seeds, int __pyx_v_char_ngram); /* 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 PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__getattr__( + struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getitem__( + struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__setitem__( + struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, + PyObject *__pyx_v_value); /* 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 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); 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__Pyx_AddTraceback("View.MemoryView.memview_slice", __pyx_clineno, + __pyx_lineno, __pyx_filename); + __pyx_r = 0; +__pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj); + __Pyx_XDECREF(__pyx_v_index); + __Pyx_XGIVEREF((PyObject *)__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":793 + * + * @cname('__pyx_memoryview_slice_memviewslice') + * cdef int slice_memviewslice( # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset, + */ + +static int __pyx_memoryview_slice_memviewslice( + __Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, + Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, + int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, + Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, + int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) { + Py_ssize_t __pyx_v_new_shape; + int __pyx_v_negative_step; + int __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + + /* "View.MemoryView":813 + * cdef bint negative_step + * + * if not is_slice: # <<<<<<<<<<<<<< + * + * if start < 0: + */ + __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); + if (__pyx_t_1) { + /* "View.MemoryView":815 + * if not is_slice: + * + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if not 0 <= start < shape: + */ + __pyx_t_1 = ((__pyx_v_start < 0) != 0); + if (__pyx_t_1) { + /* "View.MemoryView":816 + * + * if start < 0: + * start += shape # <<<<<<<<<<<<<< + * if not 0 <= start < shape: + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) + */ + __pyx_v_start = (__pyx_v_start + __pyx_v_shape); + + /* "View.MemoryView":815 + * if not is_slice: + * + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if not 0 <= start < shape: + */ + } + + /* "View.MemoryView":817 + * if start < 0: + * start += shape + * if not 0 <= start < shape: # <<<<<<<<<<<<<< + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) + * else: + */ + __pyx_t_1 = (0 <= __pyx_v_start); + if (__pyx_t_1) { + __pyx_t_1 = (__pyx_v_start < __pyx_v_shape); + } + __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); + if (__pyx_t_2) { + /* "View.MemoryView":818 + * start += shape + * 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 == -1)) __PYX_ERR(2, 818, __pyx_L1_error) + + /* "View.MemoryView":817 + * if start < 0: + * start += shape + * if not 0 <= start < shape: # <<<<<<<<<<<<<< + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) + * else: + */ + } + + /* "View.MemoryView":813 + * cdef bint negative_step + * + * if not is_slice: # <<<<<<<<<<<<<< + * + * if start < 0: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":821 + * else: + * + * negative_step = have_step != 0 and step < 0 # + * <<<<<<<<<<<<<< + * + * if have_step and step == 0: + */ + /*else*/ { + __pyx_t_1 = ((__pyx_v_have_step != 0) != 0); + if (__pyx_t_1) { + } else { + __pyx_t_2 = __pyx_t_1; + goto __pyx_L6_bool_binop_done; + } + __pyx_t_1 = ((__pyx_v_step < 0) != 0); + __pyx_t_2 = __pyx_t_1; + __pyx_L6_bool_binop_done:; + __pyx_v_negative_step = __pyx_t_2; + + /* "View.MemoryView":823 + * 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) { + } else { + __pyx_t_2 = __pyx_t_1; + goto __pyx_L9_bool_binop_done; + } + __pyx_t_1 = ((__pyx_v_step == 0) != 0); + __pyx_t_2 = __pyx_t_1; + __pyx_L9_bool_binop_done:; + if (__pyx_t_2) { + /* "View.MemoryView":824 + * + * 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 == -1)) __PYX_ERR(2, 824, __pyx_L1_error) + + /* "View.MemoryView":823 + * 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":827 + * + * + * if have_start: # <<<<<<<<<<<<<< + * if start < 0: + * start += shape + */ + __pyx_t_2 = (__pyx_v_have_start != 0); + if (__pyx_t_2) { + /* "View.MemoryView":828 + * + * if have_start: + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if start < 0: + */ + __pyx_t_2 = ((__pyx_v_start < 0) != 0); + if (__pyx_t_2) { + /* "View.MemoryView":829 + * if have_start: + * if start < 0: + * start += shape # <<<<<<<<<<<<<< + * if start < 0: + * start = 0 + */ + __pyx_v_start = (__pyx_v_start + __pyx_v_shape); + + /* "View.MemoryView":830 + * if start < 0: + * start += shape + * if start < 0: # <<<<<<<<<<<<<< + * start = 0 + * elif start >= shape: + */ + __pyx_t_2 = ((__pyx_v_start < 0) != 0); + if (__pyx_t_2) { + /* "View.MemoryView":831 + * start += shape + * if start < 0: + * start = 0 # <<<<<<<<<<<<<< + * elif start >= shape: + * if negative_step: + */ + __pyx_v_start = 0; + + /* "View.MemoryView":830 + * if start < 0: + * start += shape + * if start < 0: # <<<<<<<<<<<<<< + * start = 0 + * elif start >= shape: + */ + } + + /* "View.MemoryView":828 + * + * if have_start: + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if start < 0: + */ + goto __pyx_L12; + } + + /* "View.MemoryView":832 + * if start < 0: + * start = 0 + * elif start >= shape: # <<<<<<<<<<<<<< + * if negative_step: + * start = shape - 1 + */ + __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); + if (__pyx_t_2) { + /* "View.MemoryView":833 + * start = 0 + * elif start >= shape: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + __pyx_t_2 = (__pyx_v_negative_step != 0); + if (__pyx_t_2) { + /* "View.MemoryView":834 + * elif start >= shape: + * if negative_step: + * start = shape - 1 # <<<<<<<<<<<<<< + * else: + * start = shape + */ + __pyx_v_start = (__pyx_v_shape - 1); + + /* "View.MemoryView":833 + * start = 0 + * elif start >= shape: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + goto __pyx_L14; + } + + /* "View.MemoryView":836 + * start = shape - 1 + * else: + * start = shape # <<<<<<<<<<<<<< + * else: + * if negative_step: + */ + /*else*/ { __pyx_v_start = __pyx_v_shape; } + __pyx_L14:; + + /* "View.MemoryView":832 + * if start < 0: + * start = 0 + * elif start >= shape: # <<<<<<<<<<<<<< + * if negative_step: + * start = shape - 1 + */ + } + __pyx_L12:; + + /* "View.MemoryView":827 + * + * + * if have_start: # <<<<<<<<<<<<<< + * if start < 0: + * start += shape + */ + goto __pyx_L11; + } + + /* "View.MemoryView":838 + * start = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + /*else*/ { + __pyx_t_2 = (__pyx_v_negative_step != 0); + if (__pyx_t_2) { + /* "View.MemoryView":839 + * else: + * if negative_step: + * start = shape - 1 # <<<<<<<<<<<<<< + * else: + * start = 0 + */ + __pyx_v_start = (__pyx_v_shape - 1); + + /* "View.MemoryView":838 + * start = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + goto __pyx_L15; + } + + /* "View.MemoryView":841 + * start = shape - 1 + * else: + * start = 0 # <<<<<<<<<<<<<< + * + * if have_stop: + */ + /*else*/ { __pyx_v_start = 0; } + __pyx_L15:; + } + __pyx_L11:; + + /* "View.MemoryView":843 + * start = 0 + * + * if have_stop: # <<<<<<<<<<<<<< + * if stop < 0: + * stop += shape + */ + __pyx_t_2 = (__pyx_v_have_stop != 0); + if (__pyx_t_2) { + /* "View.MemoryView":844 + * + * if have_stop: + * if stop < 0: # <<<<<<<<<<<<<< + * stop += shape + * if stop < 0: + */ + __pyx_t_2 = ((__pyx_v_stop < 0) != 0); + if (__pyx_t_2) { + /* "View.MemoryView":845 + * if have_stop: + * if stop < 0: + * stop += shape # <<<<<<<<<<<<<< + * if stop < 0: + * stop = 0 + */ + __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); + + /* "View.MemoryView":846 + * if stop < 0: + * stop += shape + * if stop < 0: # <<<<<<<<<<<<<< + * stop = 0 + * elif stop > shape: + */ + __pyx_t_2 = ((__pyx_v_stop < 0) != 0); + if (__pyx_t_2) { + /* "View.MemoryView":847 + * stop += shape + * if stop < 0: + * stop = 0 # <<<<<<<<<<<<<< + * elif stop > shape: + * stop = shape + */ + __pyx_v_stop = 0; + + /* "View.MemoryView":846 + * if stop < 0: + * stop += shape + * if stop < 0: # <<<<<<<<<<<<<< + * stop = 0 + * elif stop > shape: + */ + } + + /* "View.MemoryView":844 + * + * if have_stop: + * if stop < 0: # <<<<<<<<<<<<<< + * stop += shape + * if stop < 0: + */ + goto __pyx_L17; + } + + /* "View.MemoryView":848 + * if stop < 0: + * stop = 0 + * elif stop > shape: # <<<<<<<<<<<<<< + * stop = shape + * else: + */ + __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); + if (__pyx_t_2) { + /* "View.MemoryView":849 + * stop = 0 + * elif stop > shape: + * stop = shape # <<<<<<<<<<<<<< + * else: + * if negative_step: + */ + __pyx_v_stop = __pyx_v_shape; + + /* "View.MemoryView":848 + * if stop < 0: + * stop = 0 + * elif stop > shape: # <<<<<<<<<<<<<< + * stop = shape + * else: + */ + } + __pyx_L17:; + + /* "View.MemoryView":843 + * start = 0 + * + * if have_stop: # <<<<<<<<<<<<<< + * if stop < 0: + * stop += shape + */ + goto __pyx_L16; + } + + /* "View.MemoryView":851 + * stop = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * stop = -1 + * else: + */ + /*else*/ { + __pyx_t_2 = (__pyx_v_negative_step != 0); + if (__pyx_t_2) { + /* "View.MemoryView":852 + * else: + * if negative_step: + * stop = -1 # <<<<<<<<<<<<<< + * else: + * stop = shape + */ + __pyx_v_stop = -1L; + + /* "View.MemoryView":851 + * stop = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * stop = -1 + * else: + */ + goto __pyx_L19; + } + + /* 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"View.MemoryView":1093 + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: + * if arg < 0: # <<<<<<<<<<<<<< + * return -arg + * else: + */ + __pyx_t_1 = ((__pyx_v_arg < 0) != 0); + if (__pyx_t_1) { + /* "View.MemoryView":1094 + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: + * if arg < 0: + * return -arg # <<<<<<<<<<<<<< + * else: + * return arg + */ + __pyx_r = (-__pyx_v_arg); + goto __pyx_L0; + + /* "View.MemoryView":1093 + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: + * if arg < 0: # <<<<<<<<<<<<<< + * return -arg + * else: + */ + } + + /* "View.MemoryView":1096 + * return -arg + * else: + * return arg # <<<<<<<<<<<<<< + * + * @cname('__pyx_get_best_slice_order') + */ + /*else*/ { + __pyx_r = __pyx_v_arg; + goto __pyx_L0; + } + +/* "View.MemoryView":1092 + * + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # + * <<<<<<<<<<<<<< if arg < 0: return -arg + */ + +/* function exit code */ +__pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1099 + * + * @cname('__pyx_get_best_slice_order') + * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # + * <<<<<<<<<<<<<< + * """ + * Figure out the best memory access order for a given slice. + */ + +static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, + int __pyx_v_ndim) { + int __pyx_v_i; + Py_ssize_t __pyx_v_c_stride; + Py_ssize_t __pyx_v_f_stride; + char __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + + /* "View.MemoryView":1104 + * """ + * cdef int i + * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< + * cdef Py_ssize_t f_stride = 0 + * + */ + __pyx_v_c_stride = 0; + + /* "View.MemoryView":1105 + * 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":1107 + * 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] + */ + for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1L; __pyx_t_1 -= 1) { + __pyx_v_i = __pyx_t_1; + + /* "View.MemoryView":1108 + * + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * c_stride = mslice.strides[i] + * break + */ + __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); + if (__pyx_t_2) { + /* "View.MemoryView":1109 + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< + * break + * + */ + __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1110 + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] + * break # <<<<<<<<<<<<<< + * + * for i in range(ndim): + */ + goto __pyx_L4_break; + + /* "View.MemoryView":1108 + * + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * c_stride = mslice.strides[i] + * break + */ + } + } +__pyx_L4_break:; + + /* "View.MemoryView":1112 + * break + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] + */ + __pyx_t_1 = __pyx_v_ndim; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_1; __pyx_t_3 += 1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1113 + * + * for i in range(ndim): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * f_stride = mslice.strides[i] + * break + */ + __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); + if (__pyx_t_2) { + /* "View.MemoryView":1114 + * for i in range(ndim): + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< + * break + * + */ + __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1115 + * 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":1113 + * + * for i in range(ndim): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * f_stride = mslice.strides[i] + * break + */ + } + } +__pyx_L7_break:; + + /* "View.MemoryView":1117 + * 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":1118 + * + * 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":1117 + * break + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # + * <<<<<<<<<<<<<< return 'C' else: + */ + } + + /* "View.MemoryView":1120 + * return 'C' + * else: + * return 'F' # <<<<<<<<<<<<<< + * + * @cython.cdivision(True) + */ + /*else*/ { + __pyx_r = 'F'; + goto __pyx_L0; + } + +/* "View.MemoryView":1099 + * + * @cname('__pyx_get_best_slice_order') + * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # + * <<<<<<<<<<<<<< + * """ + * Figure out the best memory access order for a given slice. + */ + +/* function exit code */ +__pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1123 + * + * @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, + */ + +static void _copy_strided_to_strided( + char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, + char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, + Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, + int __pyx_v_ndim, size_t __pyx_v_itemsize) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; + Py_ssize_t __pyx_v_dst_extent; + Py_ssize_t __pyx_v_src_stride; + Py_ssize_t __pyx_v_dst_stride; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + + /* "View.MemoryView":1130 + * + * 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":1131 + * 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":1132 + * 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":1133 + * 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":1135 + * 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":1136 + * + * 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":1137 + * 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":1136 + * + * 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":1138 + * 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): + */ + memcpy(__pyx_v_dst_data, __pyx_v_src_data, + (__pyx_v_itemsize * __pyx_v_dst_extent)); + + /* "View.MemoryView":1136 + * + * 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":1140 + * 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; + for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5 += 1) { + __pyx_v_i = __pyx_t_5; + + /* "View.MemoryView":1141 + * else: + * for i in range(dst_extent): + * memcpy(dst_data, src_data, itemsize) # + * <<<<<<<<<<<<<< src_data += src_stride dst_data += dst_stride + */ + memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize); + + /* "View.MemoryView":1142 + * 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":1143 + * 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":1135 + * 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":1145 + * 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; + for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5 += 1) { + __pyx_v_i = __pyx_t_5; + + /* "View.MemoryView":1146 + * 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":1150 + * 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":1151 + * 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":1123 + * + * @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":1153 + * 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":1156 + * __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":1153 + * 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":1160 + * + * @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 int i + */ + +static Py_ssize_t __pyx_memoryview_slice_get_size( + __Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) { + int __pyx_v_i; + Py_ssize_t __pyx_v_size; + Py_ssize_t __pyx_r; + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + + /* "View.MemoryView":1163 + * "Return the size of the memory occupied by the slice in number of + * bytes" cdef int i cdef Py_ssize_t size = src.memview.view.itemsize # + * <<<<<<<<<<<<<< + * + * for i in range(ndim): + */ + __pyx_t_1 = __pyx_v_src->memview->view.itemsize; + __pyx_v_size = __pyx_t_1; + + /* "View.MemoryView":1165 + * cdef Py_ssize_t size = src.memview.view.itemsize + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * size *= src.shape[i] + * + */ + __pyx_t_2 = __pyx_v_ndim; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3 += 1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1166 + * + * for i in range(ndim): + * size *= src.shape[i] # <<<<<<<<<<<<<< + * + * return size + */ + __pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i])); + } + + /* "View.MemoryView":1168 + * size *= src.shape[i] + * + * return size # <<<<<<<<<<<<<< + * + * @cname('__pyx_fill_contig_strides_array') + */ + __pyx_r = __pyx_v_size; + goto __pyx_L0; + +/* "View.MemoryView":1160 + * + * @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 int i + */ + +/* function exit code */ +__pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1171 + * + * @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; + + /* "View.MemoryView":1180 + * 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":1181 + * + * if order == 'F': + * for idx in range(ndim): # <<<<<<<<<<<<<< + * strides[idx] = stride + * stride = stride * shape[idx] + */ + __pyx_t_2 = __pyx_v_ndim; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3 += 1) { + __pyx_v_idx = __pyx_t_3; + + /* "View.MemoryView":1182 + * if order == 'F': + * for idx in range(ndim): + * strides[idx] = stride # <<<<<<<<<<<<<< + * stride = stride * shape[idx] + * else: + */ + (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; + + /* "View.MemoryView":1183 + * for idx in range(ndim): + * strides[idx] = stride + * 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":1180 + * cdef int idx + * + * if order == 'F': # <<<<<<<<<<<<<< + * for idx in range(ndim): + * strides[idx] = stride + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1185 + * stride = stride * shape[idx] + * else: + * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * strides[idx] = stride + * stride = stride * shape[idx] + */ + /*else*/ { + for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1L; __pyx_t_2 -= 1) { + __pyx_v_idx = __pyx_t_2; + + /* "View.MemoryView":1186 + * else: + * for idx in range(ndim - 1, -1, -1): + * strides[idx] = stride # <<<<<<<<<<<<<< + * stride = stride * shape[idx] + * + */ + (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; + + /* "View.MemoryView":1187 + * for idx in range(ndim - 1, -1, -1): + * strides[idx] = stride + * stride = stride * shape[idx] # <<<<<<<<<<<<<< + * + * return stride + */ + __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); + } + } +__pyx_L3:; + + /* "View.MemoryView":1189 + * stride = stride * shape[idx] + * + * return stride # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_copy_data_to_temp') + */ + __pyx_r = __pyx_v_stride; + goto __pyx_L0; + +/* "View.MemoryView":1171 + * + * @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":1192 + * + * 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0)) __PYX_ERR(2, 1314, __pyx_L1_error) + + /* "View.MemoryView":1310 + * return 0 + * + * if order == 'F' == get_best_order(&dst, ndim): # + * <<<<<<<<<<<<<< + * + * + */ + } + + /* "View.MemoryView":1316 + * 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":1317 + * + * 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":1318 + * 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":1320 + * refcount_copying(&dst, dtype_is_object, ndim, True) + * + * free(tmpdata) # <<<<<<<<<<<<<< + * return 0 + * + */ + free(__pyx_v_tmpdata); + + /* "View.MemoryView":1321 + * + * free(tmpdata) + * return 0 # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_broadcast_leading') + */ + __pyx_r = 0; + goto __pyx_L0; + +/* "View.MemoryView":1252 + * + * @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 = PyGILState_Ensure(); +#endif + __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", + __pyx_clineno, 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@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): cdef Py_ssize_t i + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":1381 + * + * @cname('__pyx_memoryview_slice_assign_scalar') + * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # + * <<<<<<<<<<<<<< size_t itemsize, void *item, bint dtype_is_object) nogil: + */ + +static void __pyx_memoryview_slice_assign_scalar( + __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, + void *__pyx_v_item, int __pyx_v_dtype_is_object) { + /* "View.MemoryView":1384 + * size_t itemsize, void *item, + * bint dtype_is_object) nogil: + * refcount_copying(dst, dtype_is_object, ndim, False) # + * <<<<<<<<<<<<<< _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, + * itemsize, item) + */ + __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, + __pyx_v_ndim, 0); + + /* "View.MemoryView":1385 + * bint dtype_is_object) nogil: + * refcount_copying(dst, dtype_is_object, ndim, False) + * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, # + * <<<<<<<<<<<<<< itemsize, item) refcount_copying(dst, dtype_is_object, ndim, + * True) + */ + __pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, + __pyx_v_dst->strides, __pyx_v_ndim, + __pyx_v_itemsize, __pyx_v_item); + + /* "View.MemoryView":1387 + * _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":1381 + * + * @cname('__pyx_memoryview_slice_assign_scalar') + * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # + * <<<<<<<<<<<<<< size_t itemsize, void *item, bint dtype_is_object) nogil: + */ + + /* function exit code */ +} + +/* "View.MemoryView":1391 + * + * @cname('__pyx_memoryview__slice_assign_scalar') + * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # + * <<<<<<<<<<<<<< Py_ssize_t *strides, int ndim, size_t itemsize, void *item) + * nogil: + */ + +static void __pyx_memoryview__slice_assign_scalar( + char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, + int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + Py_ssize_t __pyx_v_stride; + Py_ssize_t __pyx_v_extent; + int __pyx_t_1; + Py_ssize_t __pyx_t_2; + Py_ssize_t __pyx_t_3; + + /* "View.MemoryView":1395 + * size_t itemsize, void *item) nogil: + * 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]); + + /* "View.MemoryView":1396 + * 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":1398 + * cdef Py_ssize_t extent = shape[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * for i in range(extent): + * memcpy(data, item, itemsize) + */ + __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); + if (__pyx_t_1) { + /* "View.MemoryView":1399 + * + * if ndim == 1: + * for i in range(extent): # <<<<<<<<<<<<<< + * memcpy(data, item, itemsize) + * data += stride + */ + __pyx_t_2 = __pyx_v_extent; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3 += 1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1400 + * if ndim == 1: + * for i in range(extent): + * memcpy(data, item, itemsize) # <<<<<<<<<<<<<< + * data += stride + * else: + */ + memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize); + + /* "View.MemoryView":1401 + * for i in range(extent): + * memcpy(data, item, itemsize) + * data += stride # <<<<<<<<<<<<<< + * else: + * for i in range(extent): + */ + __pyx_v_data = (__pyx_v_data + __pyx_v_stride); + } + + /* "View.MemoryView":1398 + * cdef Py_ssize_t extent = shape[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * for i in range(extent): + * memcpy(data, item, itemsize) + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1403 + * data += stride + * else: + * for i in range(extent): # <<<<<<<<<<<<<< + * _slice_assign_scalar(data, shape + 1, strides + 1, + * ndim - 1, itemsize, item) + */ + /*else*/ { + __pyx_t_2 = __pyx_v_extent; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3 += 1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1404 + * else: + * for i in range(extent): + * _slice_assign_scalar(data, shape + 1, strides + 1, # + * <<<<<<<<<<<<<< ndim - 1, itemsize, item) data += stride + */ + __pyx_memoryview__slice_assign_scalar( + __pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), + (__pyx_v_ndim - 1), __pyx_v_itemsize, __pyx_v_item); + + /* "View.MemoryView":1406 + * _slice_assign_scalar(data, shape + 1, strides + 1, + * ndim - 1, itemsize, item) + * data += stride # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_data = (__pyx_v_data + __pyx_v_stride); + } + } +__pyx_L3:; + + /* "View.MemoryView":1391 + * + * @cname('__pyx_memoryview__slice_assign_scalar') + * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # + * <<<<<<<<<<<<<< Py_ssize_t *strides, int ndim, size_t itemsize, void *item) + * nogil: + */ + + /* function exit code */ +} +static struct __pyx_vtabstruct_array __pyx_vtable_array; + +static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_array_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_array_obj *)o); + p->__pyx_vtab = __pyx_vtabptr_array; + p->mode = ((PyObject *)Py_None); + Py_INCREF(Py_None); + p->_format = ((PyObject *)Py_None); + Py_INCREF(Py_None); + if (unlikely(__pyx_array___cinit__(o, a, k) < 0)) { + Py_DECREF(o); + o = 0; + } + return o; +} + +static void __pyx_tp_dealloc_array(PyObject *o) { + struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; +#if PY_VERSION_HEX >= 0x030400a1 + if (unlikely(Py_TYPE(o)->tp_finalize) && + (!PyType_IS_GC(Py_TYPE(o)) || !_PyGC_FINALIZED(o))) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } +#endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + ++Py_REFCNT(o); + __pyx_array___dealloc__(o); + --Py_REFCNT(o); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->mode); + Py_CLEAR(p->_format); + (*Py_TYPE(o)->tp_free)(o); +} +static PyObject *__pyx_sq_item_array(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_array(PyObject *o, PyObject *i, PyObject *v) { + if (v) { + return __pyx_array___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_tp_getattro_array(PyObject *o, PyObject *n) { + PyObject *v = PyObject_GenericGetAttr(o, n); + if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) { + PyErr_Clear(); + v = __pyx_array___getattr__(o, n); + } + return v; +} + +static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, + CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(o); +} + +static PyMethodDef __pyx_methods_array[] = { + {"__getattr__", (PyCFunction)__pyx_array___getattr__, METH_O | METH_COEXIST, + 0}, + {0, 0, 0, 0}}; + +static struct PyGetSetDef __pyx_getsets_array[] = { + {(char *)"memview", __pyx_getprop___pyx_array_memview, 0, (char *)0, 0}, + {0, 0, 0, 0, 0}}; + +static PySequenceMethods __pyx_tp_as_sequence_array = { + 0, /*sq_length*/ + 0, /*sq_concat*/ + 0, /*sq_repeat*/ + __pyx_sq_item_array, /*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_array = { + 0, /*mp_length*/ + __pyx_array___getitem__, /*mp_subscript*/ + __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/ +}; + +static PyBufferProcs __pyx_tp_as_buffer_array = { +#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_array_getbuffer, /*bf_getbuffer*/ + 0, /*bf_releasebuffer*/ +}; + +static PyTypeObject __pyx_type___pyx_array = { + PyVarObject_HEAD_INIT(0, 0) "lsh.cMinhash.array", /*tp_name*/ + sizeof(struct __pyx_array_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_array, /*tp_dealloc*/ + 0, /*tp_print*/ + 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 + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + &__pyx_tp_as_sequence_array, /*tp_as_sequence*/ + &__pyx_tp_as_mapping_array, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + __pyx_tp_getattro_array, /*tp_getattro*/ + 0, /*tp_setattro*/ + &__pyx_tp_as_buffer_array, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_VERSION_TAG | Py_TPFLAGS_CHECKTYPES | + Py_TPFLAGS_HAVE_NEWBUFFER | Py_TPFLAGS_BASETYPE, /*tp_flags*/ + 0, /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_array, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_array, /*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_array, /*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 +}; + +static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, + CYTHON_UNUSED PyObject *k) { + struct __pyx_MemviewEnum_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_MemviewEnum_obj *)o); + p->name = Py_None; + Py_INCREF(Py_None); + return o; +} + +static void __pyx_tp_dealloc_Enum(PyObject *o) { + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; +#if PY_VERSION_HEX >= 0x030400a1 + if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } +#endif + PyObject_GC_UnTrack(o); + Py_CLEAR(p->name); + (*Py_TYPE(o)->tp_free)(o); +} + +static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_MemviewEnum_obj *p = (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[] = {{0, 0, 0, 0}}; + +static PyTypeObject __pyx_type___pyx_MemviewEnum = { + PyVarObject_HEAD_INIT(0, 0) "lsh.cMinhash.Enum", /*tp_name*/ + sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_Enum, /*tp_dealloc*/ + 0, /*tp_print*/ + 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 +}; +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)) { + Py_DECREF(o); + o = 0; + } + return o; +} + +static void __pyx_tp_dealloc_memoryview(PyObject *o) { + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; +#if PY_VERSION_HEX >= 0x030400a1 + if (unlikely(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}, + {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) "lsh.cMinhash.memoryview", /*tp_name*/ + sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ + 0, /*tp_print*/ + 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 +}; +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 PY_VERSION_HEX >= 0x030400a1 + if (unlikely(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 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*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; +} + +/* ArgTypeTest */ +static void __Pyx_RaiseArgumentTypeInvalid(const char *name, PyObject *obj, + PyTypeObject *type) { + PyErr_Format( + PyExc_TypeError, + "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", + name, type->tp_name, Py_TYPE(obj)->tp_name); +} +static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, + int none_allowed, const char *name, + int exact) { + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + if (none_allowed && obj == Py_None) + return 1; + else if (exact) { + if (likely(Py_TYPE(obj) == type)) return 1; +#if PY_MAJOR_VERSION == 2 + else if ((type == &PyBaseString_Type) && + likely(__Pyx_PyBaseString_CheckExact(obj))) + return 1; +#endif + } else { + if (likely(PyObject_TypeCheck(obj, type))) return 1; + } + __Pyx_RaiseArgumentTypeInvalid(name, obj, type); + return 0; +} + +/* BufferFormatCheck */ +static CYTHON_INLINE int __Pyx_IsLittleEndian(void) { + unsigned int n = 1; + return *(unsigned char *)(&n) != 0; +} +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 '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 '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 '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 CYTHON_INLINE 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_IsLittleEndian()) { + PyErr_SetString( + PyExc_ValueError, + "Little-endian buffer not supported on big-endian compiler"); + return NULL; + } + ctx->new_packmode = '='; + ++ts; + break; + case '>': + case '!': + if (__Pyx_IsLittleEndian()) { + 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; + } + 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; + } + 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; + } + } + } +} +static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer *buf) { + buf->buf = NULL; + buf->obj = NULL; + buf->strides = __Pyx_zeros; + buf->shape = __Pyx_zeros; + buf->suboffsets = __Pyx_minusones; +} +static CYTHON_INLINE int __Pyx_GetBufferAndValidate( + Py_buffer *buf, PyObject *obj, __Pyx_TypeInfo *dtype, int flags, int nd, + int cast, __Pyx_BufFmt_StackElem *stack) { + if (obj == Py_None || obj == NULL) { + __Pyx_ZeroBuffer(buf); + return 0; + } + buf->buf = NULL; + if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail; + if (buf->ndim != nd) { + PyErr_Format(PyExc_ValueError, + "Buffer has wrong number of dimensions (expected %d, got %d)", + nd, buf->ndim); + goto fail; + } + if (!cast) { + __Pyx_BufFmt_Context ctx; + __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 + "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T + "d byte%s)", + buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, + (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); + goto fail; + } + if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; + return 0; +fail:; + __Pyx_ZeroBuffer(buf); + return -1; +} +static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer *info) { + if (info->buf == NULL) return; + if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; + __Pyx_ReleaseBuffer(info); +} + +/* GetModuleGlobalName */ +static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { + PyObject *result; +#if CYTHON_COMPILING_IN_CPYTHON + result = PyDict_GetItem(__pyx_d, name); + if (likely(result)) { + Py_INCREF(result); + } else { +#else + result = PyObject_GetItem(__pyx_d, name); + if (!result) { + PyErr_Clear(); +#endif + result = __Pyx_GetBuiltinName(name); + } + return result; +} + +/* 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 + +/* 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(PyObject_TypeCheck(obj, type))) return 1; + PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", + Py_TYPE(obj)->tp_name, type->tp_name); + return 0; +} + +/* 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 (!buf) { + PyErr_SetString(PyExc_ValueError, "buf is NULL."); + goto fail; + } else 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; +} +static CYTHON_INLINE void __pyx_fatalerror(const char *fmt, ...) { + va_list vargs; + char msg[200]; +#ifdef HAVE_STDARG_PROTOTYPES + va_start(vargs, fmt); +#else + va_start(vargs); +#endif + vsnprintf(msg, 200, fmt, vargs); + Py_FatalError(msg); + va_end(vargs); +} +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_COMPILING_IN_CPYTHON +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 + +/* 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 PY_VERSION_HEX >= 0x03030000 + if (cause) { +#else + if (cause && cause != Py_None) { +#endif + 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 = PyThreadState_GET(); + 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 + +/* 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"); +} + +/* 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 = 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; + } + 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_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_COMPILING_IN_CPYTHON +#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); +} + +/* 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); + } +} + +/* SaveResetException */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, + PyObject **type, + PyObject **value, + PyObject **tb) { + *type = tstate->curexc_type; + *value = tstate->curexc_value; + *tb = tstate->curexc_traceback; + 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; + 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); +} +#endif + +/* PyErrExceptionMatches */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState( + PyThreadState *tstate, PyObject *err) { + PyObject *exc_type = tstate->curexc_type; + if (exc_type == err) return 1; + if (unlikely(!exc_type)) return 0; + return PyErr_GivenExceptionMatches(exc_type, err); +} +#endif + +/* GetException */ +#if CYTHON_COMPILING_IN_CPYTHON +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_COMPILING_IN_CPYTHON + 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_COMPILING_IN_CPYTHON + 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_COMPILING_IN_CPYTHON + tmp_type = tstate->curexc_type; + tmp_value = tstate->curexc_value; + tmp_tb = tstate->curexc_traceback; + tstate->curexc_type = local_type; + tstate->curexc_value = local_value; + tstate->curexc_traceback = local_tb; + 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; +} + +/* SwapException */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE void __Pyx__ExceptionSwap(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; + *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_VERSION_HEX < 0x03030000 + 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, '.')) { +#if PY_VERSION_HEX < 0x03030000 + PyObject *py_level = PyInt_FromLong(1); + if (!py_level) goto bad; + module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, + empty_dict, list, py_level, NULL); + Py_DECREF(py_level); +#else + module = PyImport_ImportModuleLevelObject(name, global_dict, empty_dict, + list, 1); +#endif + if (!module) { + if (!PyErr_ExceptionMatches(PyExc_ImportError)) goto bad; + PyErr_Clear(); + } + } + level = 0; + } +#endif + if (!module) { +#if PY_VERSION_HEX < 0x03030000 + PyObject *py_level = PyInt_FromLong(level); + if (!py_level) goto bad; + module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, + empty_dict, list, py_level, NULL); + Py_DECREF(py_level); +#else + module = PyImport_ImportModuleLevelObject(name, global_dict, empty_dict, + list, level); +#endif + } + } +bad: +#if PY_VERSION_HEX < 0x03030000 + Py_XDECREF(py_import); +#endif + Py_XDECREF(empty_list); + Py_XDECREF(empty_dict); + return module; +} + +/* GetItemInt */ +static CYTHON_INLINE 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_COMPILING_IN_CPYTHON + if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o); + if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) { + PyObject *r = PyList_GET_ITEM(o, 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_COMPILING_IN_CPYTHON + if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o); + if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) { + PyObject *r = PyTuple_GET_ITEM(o, 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_COMPILING_IN_CPYTHON + if (is_list || PyList_CheckExact(o)) { + Py_ssize_t n = + ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); + if ((!boundscheck) || (likely((n >= 0) & (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((n >= 0) & (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)); +} + +/* PyIntBinop */ +#if CYTHON_COMPILING_IN_CPYTHON +static PyObject *__Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, + CYTHON_UNUSED long intval, + CYTHON_UNUSED int inplace) { +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(op1))) { + const long b = intval; + long x; + long a = PyInt_AS_LONG(op1); + x = (long)((unsigned long)a + b); + if (likely((x ^ a) >= 0 || (x ^ b) >= 0)) return PyInt_FromLong(x); + return PyLong_Type.tp_as_number->nb_add(op1, op2); + } +#endif +#if CYTHON_USE_PYLONG_INTERNALS && PY_MAJOR_VERSION >= 3 + if (likely(PyLong_CheckExact(op1))) { + const long b = intval; + long a, x; + const PY_LONG_LONG llb = intval; + PY_LONG_LONG lla, llx; + 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; + } 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; + } + case 2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = (long)(((((unsigned long)digits[1]) << PyLong_SHIFT) | + (unsigned long)digits[0])); + break; + } 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; + } + 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; + } 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; + } + 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; + } 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; + } + 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; + } 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; + } + 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; + } 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; + } + default: + return PyLong_Type.tp_as_number->nb_add(op1, op2); + } + } + x = a + b; + return PyLong_FromLong(x); + long_long: + llx = lla + llb; + return PyLong_FromLongLong(llx); + } +#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 void __Pyx_RaiseUnboundLocalError(const char *varname) { + PyErr_Format(PyExc_UnboundLocalError, + "local variable '%s' referenced before assignment", varname); +} + +/* 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; +} + +/* 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 +} + +/* 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) { +#ifdef __Pyx_CyFunction_USED + if (likely(PyCFunction_Check(func) || + PyObject_TypeCheck(func, __pyx_CyFunctionType))) { +#else + if (likely(PyCFunction_Check(func))) { +#endif + if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { + return __Pyx_PyObject_CallMethO(func, arg); + } + } + 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 + +/* 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; +} + +/* 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; + 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(PyThreadState_GET(), /*PyThreadState *tstate,*/ + py_code, /*PyCodeObject *code,*/ + __pyx_d, /*PyObject *globals,*/ + 0 /*PyObject *locals*/ + ); + if (!py_frame) goto bad; + py_frame->f_lineno = 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 (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) + return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); + if (PyObject_TypeCheck(obj, __pyx_array_type)) + return __pyx_array_getbuffer(obj, view, flags); + if (PyObject_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 (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { + __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); + return; + } + Py_DECREF(obj); + view->obj = NULL; +} +#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; +} + +/* 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_uint32_t(uint32_t value) { + const uint32_t neg_one = (uint32_t)-1, const_zero = (uint32_t)0; + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(uint32_t) < sizeof(long)) { + return PyInt_FromLong((long)value); + } else if (sizeof(uint32_t) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long)value); + } else if (sizeof(uint32_t) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG)value); + } + } else { + if (sizeof(uint32_t) <= sizeof(long)) { + return PyInt_FromLong((long)value); + } else if (sizeof(uint32_t) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG)value); + } + } + { + int one = 1; + int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(uint32_t), little, !is_unsigned); + } +} + +/* CIntToPy */ +static CYTHON_INLINE PyObject *__Pyx_PyInt_From_long(long value) { + const long neg_one = (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); + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG)value); + } + } else { + if (sizeof(long) <= sizeof(long)) { + return PyInt_FromLong((long)value); + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG)value); + } + } + { + int one = 1; + int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(long), little, !is_unsigned); + } +} + +/* None */ +#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(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 + +/* None */ +#if CYTHON_CCOMPLEX +#else +static CYTHON_INLINE int __Pyx_c_eqf(__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_sumf(__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_difff(__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_prodf(__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; +} +static CYTHON_INLINE __pyx_t_float_complex +__Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + float denom = b.real * b.real + b.imag * b.imag; + z.real = (a.real * b.real + a.imag * b.imag) / denom; + z.imag = (a.imag * b.real - a.real * b.imag) / denom; + return z; +} +static CYTHON_INLINE __pyx_t_float_complex +__Pyx_c_negf(__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_zerof(__pyx_t_float_complex a) { + return (a.real == 0) && (a.imag == 0); +} +static CYTHON_INLINE __pyx_t_float_complex +__Pyx_c_conjf(__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_absf(__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_powf(__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: + z = __Pyx_c_prodf(a, a); + return __Pyx_c_prodf(a, a); + case 3: + z = __Pyx_c_prodf(a, a); + return __Pyx_c_prodf(z, a); + case 4: + z = __Pyx_c_prodf(a, a); + return __Pyx_c_prodf(z, z); + } + } + if (a.imag == 0) { + if (a.real == 0) { + return a; + } + r = a.real; + theta = 0; + } else { + r = __Pyx_c_absf(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 + +/* None */ +#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(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 + +/* None */ +#if CYTHON_CCOMPLEX +#else +static CYTHON_INLINE int __Pyx_c_eq(__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(__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(__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(__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; +} +static CYTHON_INLINE __pyx_t_double_complex +__Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + double denom = b.real * b.real + b.imag * b.imag; + z.real = (a.real * b.real + a.imag * b.imag) / denom; + z.imag = (a.imag * b.real - a.real * b.imag) / denom; + return z; +} +static CYTHON_INLINE __pyx_t_double_complex +__Pyx_c_neg(__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(__pyx_t_double_complex a) { + return (a.real == 0) && (a.imag == 0); +} +static CYTHON_INLINE __pyx_t_double_complex +__Pyx_c_conj(__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(__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(__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: + z = __Pyx_c_prod(a, a); + return __Pyx_c_prod(a, a); + case 3: + z = __Pyx_c_prod(a, a); + return __Pyx_c_prod(z, a); + case 4: + z = __Pyx_c_prod(a, a); + return __Pyx_c_prod(z, z); + } + } + if (a.imag == 0) { + if (a.real == 0) { + return a; + } + r = a.real; + theta = 0; + } else { + r = __Pyx_c_abs(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_int(int value) { + const int neg_one = (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); + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG)value); + } + } else { + if (sizeof(int) <= sizeof(long)) { + return PyInt_FromLong((long)value); + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG)value); + } + } + { + int one = 1; + int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(int), little, !is_unsigned); + } +} + +/* CIntToPy */ +static CYTHON_INLINE PyObject *__Pyx_PyInt_From_enum__NPY_TYPES( + enum NPY_TYPES value) { + const enum NPY_TYPES neg_one = (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); + } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG)value); + } + } else { + if (sizeof(enum NPY_TYPES) <= sizeof(long)) { + return PyInt_FromLong((long)value); + } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG)value); + } + } + { + 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)-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)) + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, + PyLong_AsUnsignedLongLong(x)) + } + } 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)) + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) + } + } + { +#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 uint32_t __Pyx_PyInt_As_uint32_t(PyObject *x) { + const uint32_t neg_one = (uint32_t)-1, const_zero = (uint32_t)0; + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(uint32_t) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(uint32_t, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (uint32_t)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 (uint32_t)0; + case 1: + __PYX_VERIFY_RETURN_INT(uint32_t, digit, digits[0]) + case 2: + if (8 * sizeof(uint32_t) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT( + uint32_t, unsigned long, + (((((unsigned long)digits[1]) << PyLong_SHIFT) | + (unsigned long)digits[0]))) + } else if (8 * sizeof(uint32_t) >= 2 * PyLong_SHIFT) { + return (uint32_t)(((((uint32_t)digits[1]) << PyLong_SHIFT) | + (uint32_t)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(uint32_t) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT( + uint32_t, unsigned long, + (((((((unsigned long)digits[2]) << PyLong_SHIFT) | + (unsigned long)digits[1]) + << PyLong_SHIFT) | + (unsigned long)digits[0]))) + } else if (8 * sizeof(uint32_t) >= 3 * PyLong_SHIFT) { + return (uint32_t)(((((((uint32_t)digits[2]) << PyLong_SHIFT) | + (uint32_t)digits[1]) + << PyLong_SHIFT) | + (uint32_t)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(uint32_t) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT( + uint32_t, 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(uint32_t) >= 4 * PyLong_SHIFT) { + return (uint32_t)(((((((((uint32_t)digits[3]) << PyLong_SHIFT) | + (uint32_t)digits[2]) + << PyLong_SHIFT) | + (uint32_t)digits[1]) + << PyLong_SHIFT) | + (uint32_t)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 (uint32_t)-1; + if (unlikely(result == 1)) goto raise_neg_overflow; + } +#endif + if (sizeof(uint32_t) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(uint32_t, unsigned long, + PyLong_AsUnsignedLong(x)) + } else if (sizeof(uint32_t) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(uint32_t, unsigned PY_LONG_LONG, + PyLong_AsUnsignedLongLong(x)) + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit *digits = ((PyLongObject *)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: + return (uint32_t)0; + case -1: + __PYX_VERIFY_RETURN_INT(uint32_t, sdigit, + (sdigit)(-(sdigit)digits[0])) + case 1: + __PYX_VERIFY_RETURN_INT(uint32_t, digit, +digits[0]) + case -2: + if (8 * sizeof(uint32_t) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT( + uint32_t, long, + -(long)(((((unsigned long)digits[1]) << PyLong_SHIFT) | + (unsigned long)digits[0]))) + } else if (8 * sizeof(uint32_t) - 1 > 2 * PyLong_SHIFT) { + return (uint32_t)(((uint32_t)-1) * + (((((uint32_t)digits[1]) << PyLong_SHIFT) | + (uint32_t)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(uint32_t) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT( + uint32_t, unsigned long, + (((((unsigned long)digits[1]) << PyLong_SHIFT) | + (unsigned long)digits[0]))) + } else if (8 * sizeof(uint32_t) - 1 > 2 * PyLong_SHIFT) { + return (uint32_t)((((((uint32_t)digits[1]) << PyLong_SHIFT) | + (uint32_t)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(uint32_t) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT( + uint32_t, long, + -(long)(((((((unsigned long)digits[2]) << PyLong_SHIFT) | + (unsigned long)digits[1]) + << PyLong_SHIFT) | + (unsigned long)digits[0]))) + } else if (8 * sizeof(uint32_t) - 1 > 3 * PyLong_SHIFT) { + return (uint32_t)(((uint32_t)-1) * + (((((((uint32_t)digits[2]) << PyLong_SHIFT) | + (uint32_t)digits[1]) + << PyLong_SHIFT) | + (uint32_t)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(uint32_t) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT( + uint32_t, unsigned long, + (((((((unsigned long)digits[2]) << PyLong_SHIFT) | + (unsigned long)digits[1]) + << PyLong_SHIFT) | + (unsigned long)digits[0]))) + } else if (8 * sizeof(uint32_t) - 1 > 3 * PyLong_SHIFT) { + return (uint32_t)((((((((uint32_t)digits[2]) << PyLong_SHIFT) | + (uint32_t)digits[1]) + << PyLong_SHIFT) | + (uint32_t)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(uint32_t) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT( + uint32_t, 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(uint32_t) - 1 > 4 * PyLong_SHIFT) { + return (uint32_t)(((uint32_t)-1) * + (((((((((uint32_t)digits[3]) << PyLong_SHIFT) | + (uint32_t)digits[2]) + << PyLong_SHIFT) | + (uint32_t)digits[1]) + << PyLong_SHIFT) | + (uint32_t)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(uint32_t) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT( + uint32_t, 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(uint32_t) - 1 > 4 * PyLong_SHIFT) { + return (uint32_t)((((((((((uint32_t)digits[3]) << PyLong_SHIFT) | + (uint32_t)digits[2]) + << PyLong_SHIFT) | + (uint32_t)digits[1]) + << PyLong_SHIFT) | + (uint32_t)digits[0]))); + } + } + break; + } +#endif + if (sizeof(uint32_t) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(uint32_t, long, PyLong_AsLong(x)) + } else if (sizeof(uint32_t) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(uint32_t, PY_LONG_LONG, + PyLong_AsLongLong(x)) + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot " + "convert large numbers"); +#else + uint32_t 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 (uint32_t)-1; + } + } else { + uint32_t val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (uint32_t)-1; + val = __Pyx_PyInt_As_uint32_t(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to uint32_t"); + return (uint32_t)-1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to uint32_t"); + return (uint32_t)-1; +} + +/* CIntFromPy */ +static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { + const char neg_one = (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)) + } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, + PyLong_AsUnsignedLongLong(x)) + } + } 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)) + } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) + } + } + { +#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; +} + +/* CIntFromPy */ +static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { + const long neg_one = (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)) + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, + PyLong_AsUnsignedLongLong(x)) + } + } 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)) + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) + } + } + { +#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; +} + +/* 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 && 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_ds_nn_uint64_t(PyObject *obj) { + __Pyx_memviewslice result = {0, 0, {0}, {0}, {0}}; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = {(__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED)}; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *)Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, PyBUF_RECORDS, 1, + &__Pyx_TypeInfo_nn_uint64_t, + 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_ds_nn_uint32_t(PyObject *obj) { + __Pyx_memviewslice result = {0, 0, {0}, {0}, {0}}; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = {(__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED)}; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *)Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, PyBUF_RECORDS, 1, + &__Pyx_TypeInfo_nn_uint32_t, + stack, &result, obj); + if (unlikely(retcode == -1)) goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* 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; +} + +/* ModuleImport */ +#ifndef __PYX_HAVE_RT_ImportModule +#define __PYX_HAVE_RT_ImportModule +static PyObject *__Pyx_ImportModule(const char *name) { + PyObject *py_name = 0; + PyObject *py_module = 0; + py_name = __Pyx_PyIdentifier_FromString(name); + if (!py_name) goto bad; + py_module = PyImport_Import(py_name); + Py_DECREF(py_name); + return py_module; +bad: + Py_XDECREF(py_name); + return 0; +} +#endif + +/* TypeImport */ +#ifndef __PYX_HAVE_RT_ImportType +#define __PYX_HAVE_RT_ImportType +static PyTypeObject *__Pyx_ImportType(const char *module_name, + const char *class_name, size_t size, + int strict) { + PyObject *py_module = 0; + PyObject *result = 0; + PyObject *py_name = 0; + char warning[200]; + Py_ssize_t basicsize; +#ifdef Py_LIMITED_API + PyObject *py_basicsize; +#endif + py_module = __Pyx_ImportModule(module_name); + if (!py_module) goto bad; + py_name = __Pyx_PyIdentifier_FromString(class_name); + if (!py_name) goto bad; + result = PyObject_GetAttr(py_module, py_name); + Py_DECREF(py_name); + py_name = 0; + Py_DECREF(py_module); + py_module = 0; + 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 (!strict && (size_t)basicsize > size) { + PyOS_snprintf(warning, sizeof(warning), + "%s.%s size changed, may indicate binary incompatibility. " + "Expected %zd, got %zd", + module_name, class_name, basicsize, size); + if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; + } else if ((size_t)basicsize != size) { + PyErr_Format(PyExc_ValueError, + "%.200s.%.200s has the wrong size, try recompiling. Expected " + "%zd, got %zd", + module_name, class_name, basicsize, size); + goto bad; + } + return (PyTypeObject *)result; +bad: + Py_XDECREF(py_module); + Py_XDECREF(result); + return NULL; +} +#endif + +/* 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; + ++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 char *__Pyx_PyObject_AsString(PyObject *o) { + Py_ssize_t ignore; + return __Pyx_PyObject_AsStringAndSize(o, &ignore); +} +static CYTHON_INLINE char *__Pyx_PyObject_AsStringAndSize(PyObject *o, + Py_ssize_t *length) { +#if CYTHON_COMPILING_IN_CPYTHON && (__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)) { +#if PY_VERSION_HEX < 0x03030000 + 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 + if (__Pyx_PyUnicode_READY(o) == -1) return NULL; +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + if (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 + } 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 PyObject *__Pyx_PyNumber_IntOrLong(PyObject *x) { + PyNumberMethods *m; + const char *name = NULL; + PyObject *res = NULL; +#if PY_MAJOR_VERSION < 3 + if (PyInt_Check(x) || PyLong_Check(x)) +#else + if (PyLong_Check(x)) +#endif + return __Pyx_NewRef(x); + m = Py_TYPE(x)->tp_as_number; +#if PY_MAJOR_VERSION < 3 + if (m && m->nb_int) { + name = "int"; + res = PyNumber_Int(x); + } else if (m && m->nb_long) { + name = "long"; + res = PyNumber_Long(x); + } +#else + if (m && m->nb_int) { + name = "int"; + res = PyNumber_Long(x); + } +#endif + if (res) { +#if PY_MAJOR_VERSION < 3 + if (!PyInt_Check(res) && !PyLong_Check(res)) { +#else + if (!PyLong_Check(res)) { +#endif + PyErr_Format(PyExc_TypeError, "__%.4s__ returned non-%.4s (type %.200s)", + name, name, Py_TYPE(res)->tp_name); + Py_DECREF(res); + return NULL; + } + } 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(x); + } +#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_PyInt_FromSize_t(size_t ival) { + return PyInt_FromSize_t(ival); +} + +#endif /* Py_PYTHON_H */ diff --git a/examples/language/gpt/tools/Megatron/__init__.py b/examples/language/gpt/tools/Megatron/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/language/gpt/tools/Megatron/blacklist_urls.py b/examples/language/gpt/tools/Megatron/blacklist_urls.py new file mode 100644 index 000000000..38520508e --- /dev/null +++ b/examples/language/gpt/tools/Megatron/blacklist_urls.py @@ -0,0 +1,307 @@ +# coding=utf-8 +# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import glob +import re +import sys +import time + +import tldextract + +# List of the domains to blacklist. +domain_blacklist = set([ + '500px', + 'aapks', + 'akamaihd', + 'amazon', + 'apple', + 'artifactfire', + 'artstation', + 'awwni', + 'bandcamp', + 'battleforthenet', + 'coinscalendar', + 'dailymotion', + 'deviantart', + 'discord', + 'discordapp', + 'dlapkandroid', + 'dropbox', + 'e621', + 'ebay', + 'edealinfo', + 'erome', + 'eroshare', + 'explosm', + 'facebook', + 'fbcdn', + 'flickr', + 'furaffinity', + 'futhead', + 'gatopardo', + 'gfycat', + 'gifsound', + 'gifsoup', + 'giphy', + 'github', + 'google', + 'gunprime', + 'gyazo', + 'hotdealstar', + 'imagefap', + 'imageshack', + 'imgflip', + 'imgur', + 'instagram', + 'karmadecay', + 'kryptocal', + 'kym-cdn', + 'liveleak', + 'livememe', + 'lmgtfy', + 'magaimg', + 'memegenerator', + 'minorplanetcenter', + 'minus', + 'mobafire', + 'morejpeg', + 'nocookie', + 'pcpartpicker', + 'photobucket', + 'pinimg', + 'pinterest', + 'pixiv', + 'pornhub', + 'prntscr', + 'puu', + 'qkme', + 'quickmeme', + 'radd', + 'redd', + 'reddit', + 'reddit-stream', + 'redditlog', + 'redditmedia', + 'reddituploads', + 'redtube', + 'reupp', + 'reverb', + 'roanoke', + 'rollingstone', + 'sli', + 'soundcloud', + 'soundgasm', + 'spankbang', + 'spotify', + 'strawpoll', + 'streamable', + 'timeanddate', + 'tinypic', + 'touhouradio', + 'tumblr', + 'twimg', + 'twitch', + 'twitter', + 'vid', + 'vimeo', + 'vine', + 'vkaao', + 'vocaroo', + 'voyagefusion', + 'walmart', + 'wciu', + 'wikimedia', + 'wikipedia', + 'xhamster', + 'xkcd', + 'xvideos', + 'youtu', + 'youtube', + 'youtubedoubler', + 'ytimg', + 'zillexplorer', +]) + + +def domain_is_in_blacklist(url): + domain = tldextract.extract(url).domain + return domain in domain_blacklist + + +# List of extentions to blacklist. +extentions_blacklist = ( + '.3gp', + '.7z' + '.ai', + '.aif', + '.apk', + '.app', + '.avi', + '.bin', + '.bmp', + '.bz2', + '.css', + '.csv', + '.dat', + '.deb', + '.dmg', + '.doc', + '.docx', + '.exe', + '.gif', + '.gifv', + '.gz', + '.iso', + '.jar', + '.jpeg', + '.jpg', + '.js', + '.log', + '.mid', + '.midi', + '.mkv', + '.mov', + '.mp3', + '.mp4', + '.mpeg', + '.mpg', + '.ogg', + '.ogv', + '.otf', + '.pdf', + '.pkg', + '.png', + '.pps', + '.ppt', + '.pptx', + '.psd', + '.py', + '.qt', + '.ram', + '.rar', + '.sql', + '.svg', + '.swf', + '.tar.gz', + '.tar', + '.tgz', + '.tiff', + '.ttf', + '.txt', + '.wav', + '.webm', + '.wma', + '.wmv', + '.xls', + '.xlsx', + '.xml', + '.xz', + '.zip', +) + + +def extention_is_in_blacklist(url): + if url.split('?')[0].lower().endswith(extentions_blacklist): + return True + return False + + +# Malformed urls. +# This function is adapted from: +# https://stackoverflow.com/questions/7160737/python-how-to-validate-a-url-in-python-malformed-or-not +url_regex = re.compile( + r'^(?:http)s?://' # http:// or https:// + r'(?:(?:[A-Z0-9](?:[A-Z0-9-]{0,61}[A-Z0-9])?\.)+(?:[A-Z]{2,6}\.?|[A-Z0-9-]{2,}\.?)|' #domain... + r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})' # ...or ip + r'(?::\d+)?' # optional port + r'(?:/?|[/?]\S+)$', + re.IGNORECASE) + + +def url_is_malformed(url): + return re.match(url_regex, url) is None + + +def print_progress(prefix, start_time, urls_counter, domain_blacklist_counter, extention_blacklist_counter, + short_url_counter, malformed_url_counter, duplicate_url_counter): + string = prefix + ' | ' + string += 'time elapsed (s): {:.2f} | '.format(time.time() - start_time) + string += 'number of urls: {} | '.format(urls_counter) + string += 'domain blacklisted: {} | '.format(domain_blacklist_counter) + string += 'extention blacklisted: {} | '.format(extention_blacklist_counter) + string += 'short urls (<=8): {} | '.format(short_url_counter) + string += 'malformed urls: {} | '.format(malformed_url_counter) + string += 'duplicate urls: {}'.format(duplicate_url_counter) + print(string, flush=True) + + +if __name__ == '__main__': + + print('remove blacklisted urls ..') + + # Path to the url files. + path = sys.argv[1] + # Output url file. + output = sys.argv[2] + + # Get the list of url files. + files = glob.glob(path + '/*.txt') + print('> found {} files'.format(len(files))) + + urls = set() + urls_counter = 0 + domain_blacklist_counter = 0 + extention_blacklist_counter = 0 + short_url_counter = 0 + malformed_url_counter = 0 + duplicate_url_counter = 0 + start_time = time.time() + for filename in files: + with open(filename, 'r') as f: + for line in f: + url = line.strip() + urls_counter += 1 + if domain_is_in_blacklist(url): + print('[DOMAIN BLACKLIST]: {}'.format(url), flush=True) + domain_blacklist_counter += 1 + elif extention_is_in_blacklist(url): + print('[EXTENTION BLACKLIST]: {}'.format(url), flush=True) + extention_blacklist_counter += 1 + elif len(url) <= 8: + print('[SHORT URL]: {}'.format(url), flush=True) + short_url_counter += 1 + elif url_is_malformed(url): + print('[MALFORMED URL]: {}'.format(url), flush=True) + malformed_url_counter += 1 + elif url in urls: + print('[DUPLICATE URL]: {}'.format(url), flush=True) + duplicate_url_counter += 1 + else: + urls.add(url) + if urls_counter % 100000 == 0: + print_progress('PROGRESS', start_time, urls_counter, domain_blacklist_counter, + extention_blacklist_counter, short_url_counter, malformed_url_counter, + duplicate_url_counter) + + print_progress('FINAL', start_time, urls_counter, domain_blacklist_counter, extention_blacklist_counter, + short_url_counter, malformed_url_counter, duplicate_url_counter) + + # Write the final set of urls. + print('> writing cleaned up url list to {}'.format(output)) + with open(output, 'w') as f: + for url in urls: + f.write(url + '\n') + + print('done :-)') diff --git a/examples/language/gpt/tools/Megatron/cleanup_dataset.py b/examples/language/gpt/tools/Megatron/cleanup_dataset.py new file mode 100644 index 000000000..dfff5e36a --- /dev/null +++ b/examples/language/gpt/tools/Megatron/cleanup_dataset.py @@ -0,0 +1,107 @@ +# coding=utf-8 +# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import os +import sys +import time + +import ftfy +import numpy as np +from langdetect import detect +from tokenizer import Tokenizer + +MIN_DOCUMENT_LENGTH = 128 + + +def print_progress(prefix, start_time, num_docs, num_fixed_text, num_non_english_docs, chars_non_english_docs, + num_small_docs, chars_small_docs): + + string = prefix + ' | ' + string += 'elapsed time: {:.2f} | '.format(time.time() - start_time) + string += 'documents: {} | '.format(num_docs) + string += 'fixed text: {} | '.format(num_fixed_text) + string += 'non-english: {} | '.format(num_non_english_docs) + string += 'non-english chars: {} | '.format(chars_non_english_docs) + string += 'small docs: {} | '.format(num_small_docs) + string += 'small docs chars: {}'.format(chars_small_docs) + print(string, flush=True) + + +def filter_corpus(filename, out_filename, print_interval=10000): + + print(' > filtering {}'.format(filename)) + + tokenizer = Tokenizer(cache_dir='./cache') + + num_docs = 0 + num_written_docs = 0 + num_small_docs = 0 + num_fixed_text = 0 + num_non_english_docs = 0 + chars_non_english_docs = 0 + chars_small_docs = 0 + start_time = time.time() + with open(out_filename, 'wb') as f: + with open(filename, 'r') as fin: + for line in fin: + try: + num_docs += 1 + myjson = json.loads(line) + # Fix text + text = ftfy.fix_text(myjson['text']) + if text != myjson['text']: + num_fixed_text += 1 + myjson['text'] = text + # Detect language. + if detect(text) != 'en': + print('[non-english text]', myjson) + num_non_english_docs += 1 + chars_non_english_docs += len(text) + continue + # On average each token is 5 characters so 8 is an + # upper bound. + if len(text) < (8 * MIN_DOCUMENT_LENGTH): + tokens = tokenizer.tokenize_document(text) + if len(tokens) < MIN_DOCUMENT_LENGTH: + print('[small document, skipping]:', myjson) + num_small_docs += 1 + chars_small_docs += len(text) + continue + myjson = json.dumps(myjson, ensure_ascii=False) + f.write(myjson.encode('utf-8')) + f.write('\n'.encode('utf-8')) + num_written_docs += 1 + if num_docs % print_interval == 0: + print_progress('[PROGRESS]', start_time, num_docs, num_fixed_text, num_non_english_docs, + chars_non_english_docs, num_small_docs, chars_small_docs) + except Exception as e: + print(' skipping ', line, e) + + print_progress('[FINAL]', start_time, num_docs, num_fixed_text, num_non_english_docs, chars_non_english_docs, + num_small_docs, chars_small_docs) + + +if __name__ == '__main__': + + print('building gpt2 dataset ...') + + input_filename = sys.argv[1] + output_filename = sys.argv[2] + + print('will be reading {}'.format(input_filename)) + print('and will write the results to {}'.format(output_filename)) + + filter_corpus(input_filename, output_filename) diff --git a/examples/language/gpt/tools/Megatron/cleanup_fix_dataset.py b/examples/language/gpt/tools/Megatron/cleanup_fix_dataset.py new file mode 100644 index 000000000..18e4f5cc8 --- /dev/null +++ b/examples/language/gpt/tools/Megatron/cleanup_fix_dataset.py @@ -0,0 +1,191 @@ +# coding=utf-8 +# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Filter and clean documents: +Capable to clean docs with less than 512 characters, less than +256 characters and contains javascript, fix text and dataset specific +cleaning like stories and realnews datasets. +Program arguments have the details. +""" + +import argparse +import glob +import json +import multiprocessing +import os +import re +import time +from functools import partial +from pathlib import Path + +import ftfy +from langdetect import detect + + +def process_doc(json_line, args): + + # Read the line. + document = json.loads(json_line) + text = document['text'] + + output = {'remove_512': False, 'remove_256_javascript': False, \ + 'remove_512_non_english': False, 'ftfy_fix_text': False, \ + 'general_cleaning': False} + + try: + # Remove all docs with less than 512 characters + if "remove_512" in args.tasks: + if len(text) < 512: + output['remove_512'] = True + return output, text, document, True + + # Remove docs if less than 256 character length and contains Javascript + if "remove_256_javascript" in args.tasks: + if len(text) < 256 and 'javascript' in text.lower(): + output['remove_256_javascript'] = True + return output, text, document, True + + # Remove docs < 512 and nonenglish + if "remove_512_non_english" in args.tasks: + if len(text) < 512 and detect(text) != 'en': + output['remove_512_non_english'] = True + return output, text, document, True + + # Fix the text using ftfy, don't remove the text, hence return False + if "ftfy_fix_text" in args.tasks: + fixed_text = ftfy.fix_text(text) + output['ftfy_fix_text'] = True + return output, fixed_text, document, False + + # Cleaning extra spaces and newlines + if "general_cleaning" in args.tasks: + cleaned_text = re.sub(r" +|\b\n+ |\b\n+", " ", text) + #cleaned_text = re.sub(r"\n\n+", "\n\n", text) # used this for Gutenberg dataset + #cleaned_text = re.sub(r"\n", "\n\n", text) # Used this for realnews + + # stories datasets + #cleaned_text = re.sub(r" \'", "'", text) + #cleaned_text = re.sub(r" \!", "!", cleaned_text) + #cleaned_text = re.sub(r" \.", ".", cleaned_text) + #cleaned_text = re.sub(r" \?", "?", cleaned_text) + #cleaned_text = re.sub(r" - ", "-", cleaned_text) + ##cleaned_text = re.sub(r"\" ", "\"", cleaned_text) + #cleaned_text = re.sub(r" @ ", "@", cleaned_text) + + output['general_cleaning'] = True + return output, cleaned_text, document, False + + except Exception as e: + print('Error: *************************\n{}\ntext: {}'.format(e, \ + text), flush=True) + return output, text, document, True + + # don't remove + return output, text, document, False + + +def process_set(args, input_file, output_f_cleaned, output_f_filtered): + + print(' > working on {} ...'.format(input_file), flush=True) + + num_docs = num_remove_512 = num_remove_java = num_remove_512_non_english \ + = num_ftfy_fix_text = num_general_cleaning = 0 + + # Output file and counters. + output_cleaned = open(output_f_cleaned, 'wb') + output_filtered = open(output_f_filtered, 'wb') + + start_time = time.time() + + # Setup multi-processing. + num_workers = 40 + fin = open(input_file, 'r', encoding='utf-8') + pool = multiprocessing.Pool(num_workers) + process_doc_partial = partial(process_doc, args=args) + processed_docs = pool.imap(process_doc_partial, fin, 500) + + # Process documents. + for output, text, document, to_filter in processed_docs: + num_docs += 1 + + num_remove_512 += 1 if output['remove_512'] else 0 + num_remove_java += 1 if output['remove_256_javascript'] else 0 + num_remove_512_non_english += 1 if output['remove_512_non_english'] \ + else 0 + num_ftfy_fix_text += 1 if output['ftfy_fix_text'] else 0 + num_general_cleaning += 1 if output['general_cleaning'] else 0 + + document['text'] = text + myjson = json.dumps(document, ensure_ascii=False) + + if to_filter: + output_filtered.write(myjson.encode('utf-8')) + output_filtered.write('\n'.encode('utf-8')) + else: + output_cleaned.write(myjson.encode('utf-8')) + output_cleaned.write('\n'.encode('utf-8')) + + if num_docs % args.log_interval == 0: + print(' processed {:9d} documents in {:.2f} seconds ...'.format(num_docs, + time.time() - start_time), + flush=True) + + # Close the file. + output_cleaned.close() + output_filtered.close() + fin.close() + + # Print stats. + print(' >> total docs: {} remove_512 {} remove_256_javascript {} '\ + 'remove_512_non_english {} ftfy_fix_text {} general_cleaning {}'.\ + format(num_docs, num_remove_512, num_remove_java,\ + num_remove_512_non_english, num_ftfy_fix_text, \ + num_general_cleaning), flush=True) + + +if __name__ == '__main__': + + print('parsing the arguments ...') + + parser = argparse.ArgumentParser() + parser.add_argument('--input-files', nargs = '*', required=True, default=\ + None, help = 'Input json files that needs to be'\ + ' cleaned') + parser.add_argument('--tasks', nargs = '*', required=True, default=None,\ + help = 'Tasks to perform on the input files, ' \ + 'such as remove_512, remove_256_javascript, ' \ + 'remove_512_non_english, ftfy_fix_text, and ' \ + 'general_cleaning. 256 or 512 means the number' \ + ' of characters.') + + parser.add_argument('--output-path', type=str, default=None, help='Directory where the output should go') + parser.add_argument('--log-interval', type=int, default=100, help='Log interval') + + args = parser.parse_args() + + print('cleanup dataset ...') + + for input_file in args.input_files: + input_filename, input_filename_ext = os.path.splitext(Path(input_file)\ + .name) + + output_f_cleaned = os.path.join(args.output_path, input_filename + \ + "_cleaned" + input_filename_ext) + output_f_filtered = os.path.join(args.output_path, input_filename + \ + "_filtered" + input_filename_ext) + + process_set(args, input_file, output_f_cleaned, output_f_filtered) + + print('done :-)', flush=True) diff --git a/examples/language/gpt/tools/Megatron/find_duplicates.py b/examples/language/gpt/tools/Megatron/find_duplicates.py new file mode 100644 index 000000000..eaace3205 --- /dev/null +++ b/examples/language/gpt/tools/Megatron/find_duplicates.py @@ -0,0 +1,314 @@ +# coding=utf-8 +# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse +import itertools +import json +import multiprocessing +import os +import pickle +import sys +import time +from functools import partial + +import numpy as np +from lsh import cache, minhash + + +# This function is adapted from: +# https://github.com/mattilyra/LSH/blob/master/examples/Introduction.ipynb +def shingles(text, char_ngram=5): + return set(text[head:head + char_ngram] for head in range(0, len(text) - char_ngram)) + + +# This function is adapted from: +# https://github.com/mattilyra/LSH/blob/master/examples/Introduction.ipynb +def jaccard(set_a, set_b, args): + if len(set_a) < 1 or len(set_b) < 1: + return 0.0 + + intersection = set_a & set_b + union = set_a | set_b + + if args.jaccard == 'min': + return len(intersection) / min(len(set_a), len(set_b)) + elif args.jaccard == 'max': + return len(intersection) / max(len(set_a), len(set_b)) + else: + return len(intersection) / len(union) + + +def compute_fingerprint(line, key): + try: + myjson = json.loads(line) + url = myjson[key] + text = myjson['text'] + fingerprint = hasher.fingerprint(text) + except Exception as e: + print('Error:', e) + return None, None, None, False + + return url, text, fingerprint, True + + +def url_pairs_to_remove(args, bucket_urls, url_doc): + remove_urls_list = [] + deduped_local, counter_local = 0, 0 + iteration = 0 + while len(bucket_urls) > 1: + if args.heuristic_iter != -1 and \ + iteration == args.heuristic_iter: + break + + items = list(bucket_urls) + remove_urls = [] + main_url = items[np.random.randint(0, len(items))] + main_shingles = shingles(url_doc[main_url]) + + for i in range(0, len(items)): + counter_local += 1 + other_url = items[i] + if other_url == main_url: + continue + other_shingles = shingles(url_doc[other_url]) + try: + jaccard_sim = jaccard(main_shingles, other_shingles, args) + except Exception as e: + print('Error:', e) + jaccard_sim = 0.0 + if jaccard_sim > 0.5: + remove_urls.append({other_url: jaccard_sim}) + deduped_local += 1 + bucket_urls.remove(other_url) + + bucket_urls.remove(main_url) + if len(remove_urls) > 0: + remove_urls_list.append({main_url: remove_urls}) + iteration += 1 + return remove_urls_list, deduped_local, counter_local + + +def write_remove_urls_list(remove_urls_list, f_out): + if len(remove_urls_list) > 0: + for each_url_remove in remove_urls_list: + myjson = json.dumps(each_url_remove, ensure_ascii=False) + f_out.write(myjson.encode('utf-8')) + f_out.write('\n'.encode('utf-8')) + + +def compute_jaccard(each_bin, num_bins, start_time_local): + + remove_urls_list = [] + deduped_local, counter_local, bucket_local = 0, 0, 0 + + for bucket_id in each_bin: + bucket_local += 1 + if os.getpid() % num_bins == 0 and bucket_local % 100000 == 0: + print("Counter {}, progress {:.2f} time {:.2f}".\ + format(bucket_local, float(bucket_local)/float(len(each_bin)),\ + time.time() - start_time_local), flush=True) + + if len(each_bin[bucket_id]) <= 1: + continue + + bucket_urls = each_bin[bucket_id].copy() + remove_urls_list_sub, deduped_local_sub, counter_local_sub = \ + url_pairs_to_remove(args, bucket_urls, url_doc) + + deduped_local += deduped_local_sub + counter_local += counter_local_sub + if len(remove_urls_list_sub) > 0: + remove_urls_list.extend(remove_urls_list_sub) + + return remove_urls_list, deduped_local, counter_local + + +def find_pair_urls_parallel(args, lshcache, url_doc): + start_time = time.time() + f_out = open(args.output, 'wb') + deduped, counter = 0, 0 + + # compute jaccards of buckets in bin in parallel (parallelism + # limited to # of bins) + num_bins = len(lshcache.bins) + pool = multiprocessing.Pool(num_bins) + compute_jaccard_partial = partial(compute_jaccard, num_bins=num_bins, \ + start_time_local=start_time) + # don't need to pass args and url_doc as they are already shared + compute_jaccard_iter = pool.imap(compute_jaccard_partial, lshcache.bins) + + print("multiprocessing init took {:.2f}".format(time.time() - start_time),\ + flush=True) + for remove_urls_list, deduped_local, counter_local in compute_jaccard_iter: + deduped += deduped_local + counter += counter_local + write_remove_urls_list(remove_urls_list, f_out) + print(' [write]> processed {} documents in {:.2f} ' + 'seconds and deduped {} documents ...'.format(counter, time.time()\ + - start_time, deduped), flush=True) + + pool.close() + pool.join() + f_out.close() + + print(' Taken time for jaccard similarities {:.2f} seconds'.format(\ + time.time() - start_time), flush=True) + + +def find_pair_urls_sequential(args, lshcache, url_doc): + start_time = time.time() + f_out = open(args.output, 'wb') + deduped, counter = 0, 0 + for b in lshcache.bins: + for bucket_id in b: + if len(b[bucket_id]) <= 1: + continue + + bucket_urls = b[bucket_id].copy() + remove_urls_list_sub, deduped_local_sub, counter_local_sub = \ + url_pairs_to_remove(args, bucket_urls, url_doc) + + deduped += deduped_local_sub + counter += counter_local_sub + write_remove_urls_list(remove_urls_list_sub, f_out) + if counter % 10000 == 0: + print(' [write]> processed {} documents in {:.2f} ' + 'seconds and deduped {} documents ...'.format(counter, + time.time() - start_time, deduped), + flush=True) + f_out.close() + print(' [write]> processed {} documents in {:.2f} ' + 'seconds and deduped {} documents ...'.format(counter, + time.time() - start_time, deduped), + flush=True) + + +if __name__ == '__main__': + + print('parsing the arguments ...') + + parser = argparse.ArgumentParser() + parser.add_argument('--seed', type=int, default=1234, help='Random seed used for python, numpy') + parser.add_argument('--inputs', nargs = '*', default=None, help = \ + 'Pairwise list of the input files and keys, ' + 'e.g. --inputs cc.json cc_id news.json news_id') + parser.add_argument('--load-fingerprints', + nargs='*', + default=None, + help='Load fingerprints from a list of pickle files,' + ' e.g. cc.pkl news.pkl') + parser.add_argument('--save-fingerprints', type=str, default=None, help='Save the fingerprints of the inputs.') + parser.add_argument('--output', + type=str, + default=None, + help='Output file name that consists of all ids' + ' with matching similarities') + parser.add_argument('--jaccard', type=str, default='union', + choices=['union', 'min', 'max'], help='Jaccard'\ + ' similarity computation') + parser.add_argument('--heuristic-iter', + type=int, + default=1, + help='Number of iterations to run the heuristics' + ': use -1 for exact') + parser.add_argument('--num-bands', type=int, default=10, help='Number of bands to use in cache') + parser.add_argument('--num-seeds', + type=int, + default=100, + help='Number of seeds to use for minhash. Note that' + ' this value should be divisible by num-bands') + parser.add_argument('--jaccard-parallel', + action='store_true', + help='Use this to process large number of documents.') + args = parser.parse_args() + + print('finding possible duplicate content ...') + + # set seed and get an array of seeds of 100 integers + np.random.seed(args.seed) + seeds = np.random.randint(0, 1e6, size=args.num_seeds) + + # initialize minhash and lsh cache + hasher = minhash.MinHasher(seeds=seeds, char_ngram=5, hashbytes=4) + lshcache = cache.Cache(num_bands=args.num_bands, hasher=hasher) + + url_doc = {} + + # load fingerprints from pickle file if needed + if args.load_fingerprints is not None: + for count_fp, fp_file_name in enumerate(args.load_fingerprints): + print("Loading fingerprints from pickle file {}".format(fp_file_name), flush=True) + fp = open(fp_file_name, "rb") + if count_fp == 0: + # assign directory for the first pkl + lshcache = pickle.load(fp) + url_doc = pickle.load(fp) + else: + # append these to lshcache and url_doc + local_lshcache = pickle.load(fp) + local_url_doc = pickle.load(fp) + for url in local_lshcache.fingerprints.keys(): + url_doc[url] = local_url_doc[url] + lshcache.add_fingerprint(local_lshcache.fingerprints[url], url) + fp.close() + + counter = 0 + start_time = time.time() + + # compute finger prints of the inputs if any + # input file and the key to use as id + if args.inputs is not None: + print("Computing fingerprints", flush=True) + assert len(args.inputs) % 2 == 0 + for input_file, key in zip(args.inputs[::2], args.inputs[1::2]): + print(' document processing {} with key {}'.format(input_file, key), flush=True) + + # compute fingerprints in parallel + num_workers = 40 + pool = multiprocessing.Pool(num_workers) + fin = open(input_file, 'r', encoding='utf-8') + compute_fingerprint_partial = partial(compute_fingerprint, key=key) + compute_fingerprint_iter = pool.imap(compute_fingerprint_partial, fin, 512) + # traverse all the texts and add fingerprints + for url, text, fingerprint, flag in compute_fingerprint_iter: + counter += 1 + if flag: + url_doc[url] = text + lshcache.add_fingerprint(fingerprint, url) + if counter % 10000 == 0: + print(' [read]> processed {} documents in {:.2f} ' + 'seconds ...'.format(counter, time.time() - \ + start_time), flush=True) + + fin.close() + pool.close() + pool.join() + + # Save the fingerprints if needed + if args.save_fingerprints is not None: + print("Saving fingerprints to pickle file {}".format(args.save_fingerprints), flush=True) + with open(args.save_fingerprints, 'wb') as f_save: + pickle.dump(lshcache, f_save) + pickle.dump(url_doc, f_save) + + # compute jaccard index of the input texts and write to file if needed + if args.output is not None: + print("Compute jaccard similarity", flush=True) + if args.jaccard_parallel: + find_pair_urls_parallel(args, lshcache, url_doc) + else: + find_pair_urls_sequential(args, lshcache, url_doc) + + print('done :-)') diff --git a/examples/language/gpt/tools/Megatron/gpt2_tokenization.py b/examples/language/gpt/tools/Megatron/gpt2_tokenization.py new file mode 100644 index 000000000..7f90bf8f0 --- /dev/null +++ b/examples/language/gpt/tools/Megatron/gpt2_tokenization.py @@ -0,0 +1,305 @@ +# coding=utf-8 +# Copyright 2018 The Open AI Team Authors and The HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tokenization classes for OpenAI GPT.""" + +from __future__ import absolute_import, division, print_function, unicode_literals + +import json +import logging +import os +import sys +from io import open + +import regex as re + +try: + from functools import lru_cache +except ImportError: + # Just a dummy decorator to get the checks to run on python2 + # because honestly I don't want to support a byte-level unicode BPE + # tokenizer on python 2 right now. + def lru_cache(): + return lambda func: func + + +logger = logging.getLogger(__name__) + +PRETRAINED_VOCAB_ARCHIVE_MAP = { + 'gpt2': "https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-vocab.json", +} +PRETRAINED_MERGES_ARCHIVE_MAP = { + 'gpt2': "https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-merges.txt", +} +PRETRAINED_VOCAB_POSITIONAL_EMBEDDINGS_SIZE_MAP = { + 'gpt2': 1024, +} +VOCAB_NAME = 'vocab.json' +MERGES_NAME = 'merges.txt' +SPECIAL_TOKENS_NAME = 'special_tokens.txt' + + +@lru_cache() +def bytes_to_unicode(): + """ + Returns list of utf-8 byte and a corresponding list of unicode strings. + The reversible bpe codes work on unicode strings. + This means you need a large # of unicode characters in your vocab if you want to avoid UNKs. + When you're at something like a 10B token dataset you end up needing around 5K for decent coverage. + This is a significant percentage of your normal, say, 32K bpe vocab. + To avoid that, we want lookup tables between utf-8 bytes and unicode strings. + And avoids mapping to whitespace/control characters the bpe code barfs on. + """ + _chr = unichr if sys.version_info[0] == 2 else chr + bs = list(range(ord("!"), ord("~") + 1)) + list(range(ord("¡"), ord("¬") + 1)) + \ + list(range(ord("®"), ord("ÿ") + 1)) + cs = bs[:] + n = 0 + for b in range(2**8): + if b not in bs: + bs.append(b) + cs.append(2**8 + n) + n += 1 + cs = [_chr(n) for n in cs] + return dict(zip(bs, cs)) + + +def get_pairs(word): + """Return set of symbol pairs in a word. + + Word is represented as tuple of symbols (symbols being variable-length strings). + """ + pairs = set() + prev_char = word[0] + for char in word[1:]: + pairs.add((prev_char, char)) + prev_char = char + return pairs + + +class GPT2Tokenizer(object): + """ + GPT-2 BPE tokenizer. Peculiarities: + - Byte-level BPE + """ + + @classmethod + def from_pretrained(cls, pretrained_model_name_or_path, cache_dir=None, *inputs, **kwargs): + """ + Instantiate a PreTrainedBertModel from a pre-trained model file. + Download and cache the pre-trained model file if needed. + """ + if pretrained_model_name_or_path in PRETRAINED_VOCAB_ARCHIVE_MAP: + vocab_file = PRETRAINED_VOCAB_ARCHIVE_MAP[pretrained_model_name_or_path] + merges_file = PRETRAINED_MERGES_ARCHIVE_MAP[pretrained_model_name_or_path] + special_tokens_file = None + else: + vocab_file = os.path.join(pretrained_model_name_or_path, VOCAB_NAME) + merges_file = os.path.join(pretrained_model_name_or_path, MERGES_NAME) + special_tokens_file = os.path.join(pretrained_model_name_or_path, SPECIAL_TOKENS_NAME) + if not os.path.exists(special_tokens_file): + special_tokens_file = None + else: + logger.info("loading special tokens file {}".format(special_tokens_file)) + # redirect to the cache, if necessary + try: + from cached_path import cached_path + resolved_vocab_file = cached_path(vocab_file) + resolved_merges_file = cached_path(merges_file) + except EnvironmentError: + logger.error("Model name '{}' was not found in model name list ({}). " + "We assumed '{}' was a path or url but couldn't find files {} and {} " + "at this path or url.".format(pretrained_model_name_or_path, + ', '.join(PRETRAINED_VOCAB_ARCHIVE_MAP.keys()), + pretrained_model_name_or_path, vocab_file, merges_file)) + return None + if resolved_vocab_file == vocab_file and resolved_merges_file == merges_file: + logger.info("loading vocabulary file {}".format(vocab_file)) + logger.info("loading merges file {}".format(merges_file)) + else: + logger.info("loading vocabulary file {} from cache at {}".format(vocab_file, resolved_vocab_file)) + logger.info("loading merges file {} from cache at {}".format(merges_file, resolved_merges_file)) + if pretrained_model_name_or_path in PRETRAINED_VOCAB_POSITIONAL_EMBEDDINGS_SIZE_MAP: + # if we're using a pretrained model, ensure the tokenizer wont index sequences longer + # than the number of positional embeddings + max_len = PRETRAINED_VOCAB_POSITIONAL_EMBEDDINGS_SIZE_MAP[pretrained_model_name_or_path] + kwargs['max_len'] = min(kwargs.get('max_len', int(1e12)), max_len) + # Instantiate tokenizer. + if special_tokens_file and 'special_tokens' not in kwargs: + special_tokens = open(special_tokens_file, encoding='utf-8').read().split('\n')[:-1] + else: + special_tokens = kwargs.pop('special_tokens', []) + tokenizer = cls(resolved_vocab_file, resolved_merges_file, special_tokens=special_tokens, *inputs, **kwargs) + return tokenizer + + def __init__(self, vocab_file, merges_file, errors='replace', special_tokens=None, max_len=None): + self.max_len = max_len if max_len is not None else int(1e12) + self.encoder = json.load(open(vocab_file)) + self.decoder = {v: k for k, v in self.encoder.items()} + self.errors = errors # how to handle errors in decoding + self.byte_encoder = bytes_to_unicode() + self.byte_decoder = {v: k for k, v in self.byte_encoder.items()} + bpe_data = open(merges_file, encoding='utf-8').read().split('\n')[1:-1] + bpe_merges = [tuple(merge.split()) for merge in bpe_data] + self.bpe_ranks = dict(zip(bpe_merges, range(len(bpe_merges)))) + self.cache = {} + + # Should haved added re.IGNORECASE so BPE merges can happen for + # capitalized versions of contractions + self.pat = re.compile(r"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+""") + + self.special_tokens = {} + self.special_tokens_decoder = {} + self.set_special_tokens(special_tokens) + + def __len__(self): + return len(self.encoder) + len(self.special_tokens) + + def set_special_tokens(self, special_tokens): + """ Add a list of additional tokens to the encoder. + The additional tokens are indexed starting from the last index of the + current vocabulary in the order of the `special_tokens` list. + """ + if not special_tokens: + self.special_tokens = {} + self.special_tokens_decoder = {} + return + self.special_tokens = dict((tok, len(self.encoder) + i) for i, tok in enumerate(special_tokens)) + self.special_tokens_decoder = {v: k for k, v in self.special_tokens.items()} + logger.info("Special tokens {}".format(self.special_tokens)) + + def bpe(self, token): + if token in self.cache: + return self.cache[token] + word = tuple(token) + pairs = get_pairs(word) + + if not pairs: + return token + + while True: + bigram = min(pairs, key=lambda pair: self.bpe_ranks.get(pair, float('inf'))) + if bigram not in self.bpe_ranks: + break + first, second = bigram + new_word = [] + i = 0 + while i < len(word): + try: + j = word.index(first, i) + new_word.extend(word[i:j]) + i = j + except BaseException: + new_word.extend(word[i:]) + break + + if word[i] == first and i < len(word) - 1 and word[i + 1] == second: + new_word.append(first + second) + i += 2 + else: + new_word.append(word[i]) + i += 1 + new_word = tuple(new_word) + word = new_word + if len(word) == 1: + break + else: + pairs = get_pairs(word) + word = ' '.join(word) + self.cache[token] = word + return word + + def tokenize(self, text): + """ Tokenize a string. """ + bpe_tokens = [] + for token in re.findall(self.pat, text): + if sys.version_info[0] == 2: + token = ''.join(self.byte_encoder[ord(b)] for b in token) + else: + token = ''.join(self.byte_encoder[b] for b in token.encode('utf-8')) + bpe_tokens.extend(bpe_token for bpe_token in self.bpe(token).split(' ')) + return bpe_tokens + + def convert_tokens_to_ids(self, tokens): + """ Converts a sequence of tokens into ids using the vocab. """ + ids = [] + if isinstance(tokens, str) or (sys.version_info[0] == 2 and isinstance(tokens, unicode)): + if tokens in self.special_tokens: + return self.special_tokens[tokens] + else: + return self.encoder.get(tokens, 0) + for token in tokens: + if token in self.special_tokens: + ids.append(self.special_tokens[token]) + else: + ids.append(self.encoder.get(token, 0)) + if len(ids) > self.max_len: + logger.warning("Token indices sequence length is longer than the specified maximum " + " sequence length for this OpenAI GPT model ({} > {}). Running this" + " sequence through the model will result in indexing errors".format(len(ids), self.max_len)) + return ids + + def convert_ids_to_tokens(self, ids, skip_special_tokens=False): + """Converts a sequence of ids in BPE tokens using the vocab.""" + tokens = [] + for i in ids: + if i in self.special_tokens_decoder: + if not skip_special_tokens: + tokens.append(self.special_tokens_decoder[i]) + else: + tokens.append(self.decoder[i]) + return tokens + + def encode(self, text): + return self.convert_tokens_to_ids(self.tokenize(text)) + + def decode(self, tokens): + text = ''.join([self.decoder[token] for token in tokens]) + text = bytearray([self.byte_decoder[c] for c in text]).decode('utf-8', errors=self.errors) + return text + + def save_vocabulary(self, vocab_path): + """Save the tokenizer vocabulary and merge files to a directory.""" + if not os.path.isdir(vocab_path): + logger.error("Vocabulary path ({}) should be a directory".format(vocab_path)) + return + vocab_file = os.path.join(vocab_path, VOCAB_NAME) + merge_file = os.path.join(vocab_path, MERGES_NAME) + special_tokens_file = os.path.join(vocab_path, SPECIAL_TOKENS_NAME) + + with open(vocab_file, 'w', encoding='utf-8') as f: + f.write(json.dumps(self.encoder, ensure_ascii=False)) + + index = 0 + with open(merge_file, "w", encoding="utf-8") as writer: + writer.write(u'#version: 0.2\n') + for bpe_tokens, token_index in sorted(self.bpe_ranks.items(), key=lambda kv: kv[1]): + if index != token_index: + logger.warning("Saving vocabulary to {}: BPE merge indices are not consecutive." + " Please check that the tokenizer is not corrupted!".format(merge_file)) + index = token_index + writer.write(' '.join(bpe_tokens) + u'\n') + index += 1 + + index = len(self.encoder) + with open(special_tokens_file, 'w', encoding='utf-8') as writer: + for token, token_index in sorted(self.special_tokens.items(), key=lambda kv: kv[1]): + if index != token_index: + logger.warning("Saving special tokens vocabulary to {}: BPE indices are not consecutive." + " Please check that the tokenizer is not corrupted!".format(special_tokens_file)) + index = token_index + writer.write(token + u'\n') + index += 1 + + return vocab_file, merge_file, special_tokens_file diff --git a/examples/language/gpt/tools/Megatron/group_duplicate_url.py b/examples/language/gpt/tools/Megatron/group_duplicate_url.py new file mode 100644 index 000000000..ed9cf673e --- /dev/null +++ b/examples/language/gpt/tools/Megatron/group_duplicate_url.py @@ -0,0 +1,85 @@ +# coding=utf-8 +# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import sys +import time + +if __name__ == '__main__': + + print('grouping duplicate urls ...') + + input = sys.argv[1] + output = sys.argv[2] + if len(sys.argv) > 3: + jaccard_similarity_threshold = float(sys.argv[3]) + else: + jaccard_similarity_threshold = 0.7 + + url_to_index = {} + index_to_urls = [] + counter = 0 + start_time = time.time() + with open(input, 'r') as f: + for line in f: + counter += 1 + myjson = json.loads(line) + urls = [] + for main_url in myjson.keys(): + urls.append(main_url) + for value in myjson[main_url]: + for other_url, js in value.items(): + if js >= jaccard_similarity_threshold: + urls.append(other_url) + current_index = -1 + other_indices = set() + for url in urls: + if url in url_to_index: + if current_index == -1: + current_index = url_to_index[url] + elif current_index != url_to_index[url]: + other_indices.add(url_to_index[url]) + if current_index == -1: + current_index = len(index_to_urls) + index_to_urls.append(set()) + for url in urls: + url_to_index[url] = current_index + index_to_urls[current_index].add(url) + for index in other_indices: + for url in index_to_urls[index]: + index_to_urls[current_index].add(url) + url_to_index[url] = current_index + index_to_urls[index] = None + + if counter % 100000 == 0: + print(' > processed {} lines in {} seconds ...'.format(counter, time.time() - start_time)) + + total_remove = 0 + total_remain = 0 + for urls in index_to_urls: + if urls is not None: + if len(urls) > 1: + total_remove += (len(urls) - 1) + total_remain += 1 + print('out of {} urls, only {} are unique and {} should be removed'.format(total_remove + total_remain, + total_remain, total_remove)) + + with open(output, 'wb') as f: + for i, urls in enumerate(index_to_urls): + if urls is not None: + if len(urls) > 1: + myjson = json.dumps({str(i): list(urls)}, ensure_ascii=False) + f.write(myjson.encode('utf-8')) + f.write('\n'.encode('utf-8')) diff --git a/examples/language/gpt/tools/Megatron/remove_group_duplicates.py b/examples/language/gpt/tools/Megatron/remove_group_duplicates.py new file mode 100644 index 000000000..726f365b1 --- /dev/null +++ b/examples/language/gpt/tools/Megatron/remove_group_duplicates.py @@ -0,0 +1,64 @@ +# coding=utf-8 +# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import sys +import time + +if __name__ == '__main__': + + url_filename = sys.argv[1] + data_filename = sys.argv[2] + output_filename = sys.argv[3] + + urls = set() + with open(url_filename, 'r') as f: + for line in f: + myjson = json.loads(line) + for key in myjson: + this_urls = myjson[key] + for i in range(1, len(this_urls)): + urls.add(this_urls[i]) + print('will be removing {} urls'.format(len(urls)), flush=True) + + written_docs = 0 + removed_docs = 0 + removed_chars = 0 + start_time = time.time() + with open(output_filename, 'wb') as fout: + with open(data_filename, 'r') as fin: + for line in fin: + try: + myjson = json.loads(line) + url = myjson['url'] + if url in urls: + print('removing', myjson) + removed_docs += 1 + removed_chars += len(myjson['text']) + continue + myjson = json.dumps(myjson, ensure_ascii=False) + fout.write(myjson.encode('utf-8')) + fout.write('\n'.encode('utf-8')) + written_docs += 1 + if written_docs % 10000 == 0: + print(' [PROCESSED] time (s): {:.2f} | written: {} ' + '| removed: {} (char: {})'.format(time.time() - start_time, written_docs, removed_docs, + removed_chars)) + except Exception as e: + print('[SKIPPING]', line, e) + + print(' [PROCESSED] time (s): {:.2f} | written: {} ' + '| removed: {} (char: {})'.format(time.time() - start_time, written_docs, removed_docs, removed_chars)) + print('done :-)') diff --git a/examples/language/gpt/tools/Megatron/tokenizer.py b/examples/language/gpt/tools/Megatron/tokenizer.py new file mode 100644 index 000000000..2947c1dcf --- /dev/null +++ b/examples/language/gpt/tools/Megatron/tokenizer.py @@ -0,0 +1,36 @@ +# coding=utf-8 +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import sys + +sys.path.append('..') + +from gpt2_tokenization import GPT2Tokenizer + + +class Tokenizer: + + def __init__(self, cache_dir=None): + self.tokenizer = GPT2Tokenizer.from_pretrained('gpt2', cache_dir=cache_dir) + self.tokenizer.max_len = int(1e12) + self.eod_token = self.tokenizer.encoder['<|endoftext|>'] + assert self.eod_token < 65535, 'vocab size will not fit in uint16' + print('> GPT2 tokenizer with {} vocab size and eod token {} ...'.format(len(self.tokenizer.encoder), + self.eod_token)) + + def tokenize_document(self, document): + tokens = self.tokenizer.encode(document) + tokens.append(self.eod_token) + return tokens diff --git a/examples/language/gpt/tools/download/download.py b/examples/language/gpt/tools/download/download.py new file mode 100644 index 000000000..6212028b7 --- /dev/null +++ b/examples/language/gpt/tools/download/download.py @@ -0,0 +1,347 @@ +# Code taken in large part from https://github.com/jcpeterson/openwebtext + +from __future__ import print_function + +import argparse +import io +import json +import multiprocessing as mpl +import os +import os.path as op +import sqlite3 +import tarfile +import time +import warnings +from glob import glob +from hashlib import sha256 + +import tldextract +from scrapers import bs4_scraper, newspaper_scraper, raw_scraper +# for backward compatibility +from six.moves.urllib.request import urlopen +from tqdm import tqdm +from utils import chunks, extract_month, linecount, mkdir + +parser = argparse.ArgumentParser() +parser.add_argument("url_file", type=str) +parser.add_argument( + "--save_uncompressed", + action="store_true", + default=False, + help="whether to save the raw txt files to disk", +) +parser.add_argument( + "--output", + type=str, + default='raw.json', + help="where to save the output json", +) +parser.add_argument( + "--output_dir", + type=str, + default="scraped", + help="which folder in the working directory to use for output", +) +parser.add_argument( + "--n_procs", + type=int, + default=10, + help="how many processes (cores) to use for parallel scraping", +) +parser.add_argument( + "--timeout", + type=int, + default=-1, + help="maximum scrape time for a single URL; -1 means no limit", +) +parser.add_argument( + "--max_urls", + type=int, + default=-1, + help="maximum # of URLs to scrape; mostly for debugging", +) +parser.add_argument( + "--chunk_size", + type=int, + default=100, + help="how many URLs to scrape before saving to archive", +) +parser.add_argument( + "--scraper", + type=str, + default="newspaper", + choices=["raw", "bs4", "newspaper"], + help="which text/content scraper to use; raw is html", +) +parser.add_argument( + "--compress", + action="store_true", + default=False, + help="whether to output scraped content as compressed archives", +) +parser.add_argument( + "--compress_fmt", + type=str, + default="xz", + choices=["xz", "bz2", "gz"], + help="which archive format to use", +) +parser.add_argument( + "--scraper_memoize", + action="store_true", + default=False, + help="whether to use cache for newspaper", +) +parser.add_argument( + "--show_warnings", + action="store_true", + default=False, + help="whether to show warnings in general during scraping", +) +parser.add_argument( + "--sqlite_meta", + action="store_true", + default=True, + help="whether to use sqlite for storing meta. if false, json will be used instead", +) +args = parser.parse_args() + +if not args.show_warnings: + # avoid lots of datetime warnings + warnings.filterwarnings("ignore") + + +def load_urls(fh, max_urls=-1): + url_entries = enumerate(fh) + if max_urls != -1: + url_entries = list(url_entries)[:max_urls] + return url_entries + + +def vet_link(link): + # check if server responds with non-200 status code or link points to a + # non-html file + link_type, link_status = "", -1 + try: + info = urlopen(link) + link_type = info.headers["Content-Type"] + link_status = info.status + except: + pass + + # we want "text/html" only! + is_good_link = False + if "text/html" in link_type and link_status == 200: + is_good_link = True + + return is_good_link, link_type + + +def download(url_entry, + scraper=args.scraper, + save_uncompressed=args.save_uncompressed, + memoize=args.scraper_memoize, + arch_meta=not args.sqlite_meta): + + uid, url = url_entry + url = url.strip() + fid = "{:07d}-{}".format(uid, sha256(url.encode()).hexdigest()) + + data_dir = mkdir(op.join(args.output_dir, "data")) + text_fp = op.join(data_dir, "{}.txt".format(fid)) + + if arch_meta: + meta_dir = mkdir(op.join(args.output_dir, "meta")) + meta_fp = op.join(meta_dir, "{}.json".format(fid)) + + # already downloaded! + if op.exists(text_fp): + return + + # is_good_link, link_type = vet_link(url) + # if not is_good_link: + # return + + if scraper == "bs4": + scrape = bs4_scraper + elif scraper == "newspaper": + scrape = newspaper_scraper + elif scraper == "raw": + scrape = raw_scraper + + text, meta = scrape(url, memoize) + + ext = tldextract.extract(url) + domain = '.'.join([x for x in ext if x]) + meta["domain"] = domain + + if text is None or text.strip() == "": + return ("", meta, fid, uid) + + if save_uncompressed: + with open(text_fp, "w") as out: + out.write(text) + if arch_meta: + with open(meta_fp, "w") as out: + json.dump(meta, out) + + return (text, meta, fid, uid) + + +def archive_chunk(cid, cdata, out_dir, fmt, arch_meta): + mkdir(out_dir) + texts, metas, fids, uids = zip(*cdata) + + data_tar = op.join(out_dir, "{}_data.{}".format(cid, fmt)) + if arch_meta: + meta_tar = op.join(out_dir, "{}_meta.{}".format(cid, fmt)) + tar_fps, texts, exts = [data_tar, meta_tar], [texts, metas], ["txt", "json"] + else: + tar_fps, texts, exts = [data_tar], [texts], ["txt"] + + doc_count = 0 + docs_counted = False + for tar_fp, txts, ext in zip(tar_fps, texts, exts): + with tarfile.open(tar_fp, "w:" + fmt) as tar: + for f, fid in zip(txts, fids): + if f == "": + continue + else: + if not docs_counted: + doc_count += 1 + + if ext == "json": + f = json.dumps(f) + + f = f.encode("utf-8") + t = tarfile.TarInfo("{}.{}".format(fid, ext)) + t.size = len(f) + tar.addfile(t, io.BytesIO(f)) + docs_counted = True + + return doc_count + + +def load_state(url_file): + ckptfile = url_file + '.ckpt' + if op.exists(ckptfile): + with open(ckptfile) as fp: + r = fp.read() + if r == '': + return 0 + else: + return int(r) + else: + return 0 + + +def save_state(url_file, cid): + ckptfile = url_file + '.ckpt' + with open(ckptfile, 'w') as fp: + fp.write(str(cid)) + + +def sqlite_conn(): + conn = sqlite3.connect('metadata.db') + conn.execute(''' + CREATE TABLE IF NOT EXISTS metadata ( + fid char(64) not null primary key, + url varchar(2048) not null, + domain varchar(255) not null, + word_count int null, + elapsed int null, + scraper varchar(255) not null, + success boolean not null + ); + ''') + conn.execute(''' + CREATE INDEX IF NOT EXISTS ix_meta_url ON metadata(url); + ''') + conn.execute(''' + CREATE INDEX IF NOT EXISTS ix_meta_domain ON metadata(domain); + ''') + + return conn + + +if __name__ == "__main__": + if args.sqlite_meta: + conn = sqlite_conn() + cur = conn.cursor() + + start_elem = load_state(args.url_file) + start_chnk = start_elem // args.chunk_size + + f_json = open(args.output, "w") + + # URLs we haven't scraped yet (if first run, all URLs in file) + with open(args.url_file) as fh: + url_entries = load_urls(fh, args.max_urls) + + pool = mpl.Pool(args.n_procs) + total = linecount(args.url_file) // args.chunk_size + print('Total chunks: ', total) + chunk_iterator = tqdm(enumerate(chunks(url_entries, args.chunk_size, start_elem)), total=total) + + # display already-downloaded chunks on progress bar + chunk_iterator.update(start_chnk) + + # process one "chunk" of args.chunk_size URLs at a time + for i, chunk in chunk_iterator: + cid = start_chnk + i + 1 + + tqdm.write("Downloading chunk {}".format(cid)) + t1 = time.time() + + if args.timeout > 0: + # imap as iterator allows .next() w/ timeout. + # ordered version doesn't seem to work correctly. + # for some reason, you CANNOT track j or chunk[j] in the loop, + # so don't add anything else to the loop below! + # confusingly, chunksize below is unrelated to our chunk_size + chunk_iter = pool.imap_unordered(download, chunk, chunksize=1) + cdata = [] + for j in range(len(chunk)): + try: + result = chunk_iter.next(timeout=args.timeout) + cdata.append(result) + except mpl.TimeoutError: + tqdm.write(" --- Timeout Error --- ") + else: + cdata = list(pool.imap(download, chunk, chunksize=1)) + + tqdm.write("{} / {} downloads timed out".format(len(chunk) - len(cdata), len(chunk))) + tqdm.write("Chunk time: {} seconds".format(time.time() - t1)) + + # write metadata to sqlite + if args.sqlite_meta: + for text, meta, fid, _ in filter(lambda x: x, cdata): + if text: + params = (fid, meta["url"], meta["domain"], meta["elapsed"], meta["word_count"], + meta["scraper"], True) + else: + params = (fid, meta["url"], meta["domain"], None, None, meta["scraper"], False) + cur.execute( + "insert or ignore into metadata (fid, url, domain, elapsed, word_count, scraper, success) values (?, ?, ?, ?, ?, ?, ?)", + params) + conn.commit() + + dump_chunk = [] + for text, meta, fid, _ in filter(lambda x: x, cdata): + if text: + line_json = {"text": text, "url": meta["url"]} + dump_chunk.append(json.dumps(line_json) + '\n') + f_json.writelines(dump_chunk) + + # archive and save this chunk to file + if args.compress: + tqdm.write("Compressing...") + t2 = time.time() + count = archive_chunk(cid, cdata, args.output_dir, args.compress_fmt, not args.sqlite_meta) + tqdm.write("Archive created in {} seconds".format(time.time() - t2)) + tqdm.write("{} out of {} URLs yielded content\n".format(len(list(filter(lambda x: x and x[0], cdata))), + len(chunk))) + + save_state(args.url_file, cid * args.chunk_size) + f_json.close() + print("Done!") diff --git a/examples/language/gpt/tools/download/download_old.py b/examples/language/gpt/tools/download/download_old.py new file mode 100644 index 000000000..3eb7b2c91 --- /dev/null +++ b/examples/language/gpt/tools/download/download_old.py @@ -0,0 +1,58 @@ +import hashlib +import multiprocessing as mp +import os +import traceback + +import newspaper +import tldextract +import tqdm +from filter import should_exclude + +hash = hashlib.sha256 + +try: + os.mkdir('data') +except FileExistsError: + pass + + +def dl(url): + url = url.strip() + + if should_exclude(url): + return + + ext = tldextract.extract(url) + domain = '.'.join([x for x in ext if x]) + + fname = 'data/{}-{}.txt'.format(domain, hash(url.encode()).hexdigest()) + if os.path.isfile(fname): + return +# print('Downloading', url) + try: + article = newspaper.Article(url, fetch_images=False) + article.download() + article.parse() + except newspaper.article.ArticleException: + # print('Dead link:', url) + return + + +# traceback.print_exc() + + text = article.text + + if text.strip() == '': + # print('Empty') + return + + with open(fname, 'w') as out: + out.write(text) + +if __name__ == '__main__': + p = mp.Pool(100) # num of download threads + with open('urls.txt') as fh: + urls = list(fh) + + list(tqdm.tqdm(p.imap(dl, urls), total=len(urls))) + print('Done!') diff --git a/examples/language/gpt/tools/download/filter.py b/examples/language/gpt/tools/download/filter.py new file mode 100644 index 000000000..10a99842d --- /dev/null +++ b/examples/language/gpt/tools/download/filter.py @@ -0,0 +1,110 @@ +import re + +import tldextract +import tqdm +from utils import linecount + +# https://stackoverflow.com/questions/7160737/python-how-to-validate-a-url-in-python-malformed-or-not +url_regex = re.compile( + r'^(?:http)s?://' # http:// or https:// + r'(?:(?:[A-Z0-9](?:[A-Z0-9-]{0,61}[A-Z0-9])?\.)+(?:[A-Z]{2,6}\.?|[A-Z0-9-]{2,}\.?)|' #domain... + r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})' # ...or ip + r'(?::\d+)?' # optional port + r'(?:/?|[/?]\S+)$', + re.IGNORECASE) + +# domains that aren't scraper friendly. do not include subdomains! +exclude_domains = set([ + # image & video hosting sites + 'imgur.com', + 'redd.it', + 'instagram.com', + 'discord.gg', + 'gfycat.com', + 'giphy.com', + 'reddituploads.com', + 'redditmedia.com', + 'twimg.com', + 'sli.mg', + 'magaimg.net', + 'flickr.com', + 'imgflip.com', + 'youtube.com', + 'youtu.be', + 'youtubedoubler.com', + 'vimeo.com', + 'twitch.tv', + 'streamable.com', + 'bandcamp.com', + 'soundcloud.com', + + # not scraper friendly + 'reddit.com', + 'gyazo.com', + 'github.com', + 'xkcd.com', + 'twitter.com', + 'spotify.com', + 'itunes.apple.com', + 'facebook.com', + 'gunprime.com', + 'strawpoll.me', + 'voyagefusion.com', + 'rollingstone.com', + 'google.com', + 'timeanddate.com', + 'walmart.com', + 'roanoke.com', + 'spotrac.com', + + # original paper excluded wikipedia + 'wikipedia.org', + + # lots of top posts for this one + 'battleforthenet.com', +]) + +exclude_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.gifv', '.pdf', '.mp4', '.mp3', '.ogv', '.webm', '.doc', + '.docx', '.log', '.csv', '.dat', '.iso', '.bin', '.exe', '.apk', '.jar', '.app', '.ppt', '.pps', + '.pptx', '.xml', '.gz', '.xz', '.bz2', '.tgz', '.tar', '.zip', '.wma', '.mov', '.wmv', '.3gp', + '.svg', '.rar', '.wav', '.avi', '.7z') + + +def should_exclude(url): + + ext = tldextract.extract(url) + domain = '.'.join([x for x in ext if x]) + basedomain = '.'.join(ext[-2:]) + + # Ignore non-URLs + if len(url) <= 8 or ' ' in url or re.match(url_regex, url) is None: + return True + + # Ignore excluded domains + if basedomain in exclude_domains or domain in exclude_domains: + return True + + # Ignore case-insensitive matches for excluded extensions + if url.lower().split('?')[0].endswith(exclude_extensions): + return True + + return False + + +if __name__ == '__main__': + url_file = 'urls.txt' + filtered_file = 'urls-filtered.txt' + + with open(url_file) as urls, open(filtered_file, 'w') as out: + url_len = linecount(url_file) + print("URL file is", url_len, "URLs long.") + url_set = set() + for line in tqdm.tqdm(urls, total=url_len): + if len(line.strip()) == 0: + continue # Skip whitespace-only lines + line = line.strip().split()[0] # Drop any components following whitespace + if should_exclude(line): + continue + url_set.add(line) + for line in tqdm.tqdm(url_set): + out.write(line + '\n') diff --git a/examples/language/gpt/tools/download/get_urls.py b/examples/language/gpt/tools/download/get_urls.py new file mode 100644 index 000000000..da66ac0bf --- /dev/null +++ b/examples/language/gpt/tools/download/get_urls.py @@ -0,0 +1,32 @@ +import datetime + +import praw +import psaw +import tqdm + +api = psaw.PushshiftAPI() + +# all posts until the end of 2017 +end_time = int(datetime.datetime(2018, 1, 1).timestamp()) + +query = api.search_submissions(before=end_time, + filter=['url', 'score'], + sort='desc', + score='>2', + is_self=False, + over_18=False) + +with tqdm.tqdm() as pbar: + # download links from submissions + with open('urls.txt', 'w') as fh: + for subm in query: + url = subm.url + + # weird issue with psaw/pushshift that breaks score=">2" + if subm.score < 3: + continue + #print(subm.score) +# pbar.write(str(datetime.datetime.fromtimestamp(subm.created_utc))) + pbar.update(1) + fh.write(url + '\n') + fh.flush() diff --git a/examples/language/gpt/tools/download/scrapers.py b/examples/language/gpt/tools/download/scrapers.py new file mode 100644 index 000000000..e72b27c29 --- /dev/null +++ b/examples/language/gpt/tools/download/scrapers.py @@ -0,0 +1,121 @@ +# Code taken in large part from https://github.com/jcpeterson/openwebtext + +import time +import unicodedata + +import bs4 +import newspaper +from filter import should_exclude +from htmlmin import minify +from lxml.html.clean import Cleaner + + +def find_and_filter_tag(tag, soup): + """tag specific filter logic""" + + candidates = soup.find_all(tag) + candidates = [unicodedata.normalize("NFKD", x.string) for x in candidates if x.string is not None] + + if tag == "p": + candidates = [y.strip() for y in candidates if len(y.split(" ")) >= 4] + count = sum(len(y.split(" ")) for y in candidates) + else: + raise NotImplementedError + + return (candidates, count) + + +def raw_scraper(url, memoize): + t1 = time.time() + if should_exclude(url): + # heuristic to make downloading faster + return None, { + "url": url, + "scraper": "raw", + } + + try: + cleaner = Cleaner() + cleaner.javascript = True + cleaner.style = True + article = newspaper.Article(url, fetch_images=False, memoize_articles=memoize) + article.download() + html = minify(article.html) + html = cleaner.clean_html(html) + article.parse() + except: + return None, { + "url": url, + "scraper": "raw", + } + if article.text == "": + return None, { + "url": url, + "scraper": "raw", + } + + metadata = {"url": url, "elapsed": time.time() - t1, "scraper": "raw"} + return html, metadata + + +def newspaper_scraper(url, memoize): + t1 = time.time() + if should_exclude(url): + # heuristic to make downloading faster + return None, { + "url": url, + "scraper": "newspaper", + } + + try: + article = newspaper.Article(url, fetch_images=False, memoize_articles=memoize) + article.download() + article.parse() + text = article.text + count = len(text.split()) + except: + return None, { + "url": url, + "scraper": "newspaper", + } + + metadata = { + "url": url, + "word_count": count, + "elapsed": time.time() - t1, + "scraper": "newspaper", + } + return text, metadata + + +def bs4_scraper(url, memoize): + t1 = time.time() + if should_exclude(url): + # heuristic to make downloading faster + return None, { + "url": url, + "scraper": "bs4", + } + + try: + article = newspaper.Article(url, fetch_images=False, memoize_articles=memoize) + article.download() + html = article.html + soup = bs4.BeautifulSoup(html, "lxml") + text, count = find_and_filter_tag("p", soup) + # DDB: keep text as a single string for consistency with + # newspaper_scraper + text = " ".join(text) + except: + return None, { + "url": url, + "scraper": "bs4", + } + + metadata = { + "url": url, + "word_count": count, + "elapsed": time.time() - t1, + "scraper": "bs4", + } + return text, metadata diff --git a/examples/language/gpt/tools/download/utils.py b/examples/language/gpt/tools/download/utils.py new file mode 100644 index 000000000..a1da2139a --- /dev/null +++ b/examples/language/gpt/tools/download/utils.py @@ -0,0 +1,62 @@ +# Code taken in large part from https://github.com/jcpeterson/openwebtext + +import collections +import os +import os.path as op +import re +import tarfile + + +def extract_month(url_file_name): + month_re = r"(RS_.*2\d{3}-\d{2})" + month = op.split(url_file_name)[-1] + month = re.match(month_re, month).group() + return month + + +def chunks(l, n, s=0): + """Yield successive n-sized chunks from l, skipping the first s chunks.""" + if isinstance(l, collections.Iterable): + chnk = [] + for i, elem in enumerate(l): + if i < s: + continue + + chnk.append(elem) + if len(chnk) == n: + yield chnk + chnk = [] + if len(chnk) != 0: + yield chnk + + else: + for i in range(s, len(l), n): + yield l[i:i + n] + + +def extract_archive(archive_fp, outdir="."): + with tarfile.open(archive_fp, "r") as tar: + tar.extractall(outdir) + return outdir + + +def mkdir(fp): + try: + os.makedirs(fp) + except FileExistsError: + pass + return fp + + +def linecount(filename): + f = open(filename, 'rb') + lines = 0 + buf_size = 1024 * 1024 + read_f = f.raw.read + + buf = read_f(buf_size) + while buf: + lines += buf.count(b'\n') + buf = read_f(buf_size) + + return lines diff --git a/examples/language/gpt/train_gpt.py b/examples/language/gpt/train_gpt.py new file mode 100644 index 000000000..aa80143af --- /dev/null +++ b/examples/language/gpt/train_gpt.py @@ -0,0 +1,143 @@ +import contextlib +import os + +import torch +from dataset.webtext import WebtextDataset +from titans.loss.lm_loss import GPTLMLoss + +import colossalai +import colossalai.utils as utils +from colossalai import nn as col_nn +from colossalai.context.parallel_mode import ParallelMode +from colossalai.core import global_context as gpc +from colossalai.logging import disable_existing_loggers, get_dist_logger +from colossalai.nn import LinearWarmupLR +from colossalai.pipeline.pipelinable import PipelinableContext +from colossalai.trainer import Trainer, hooks +from colossalai.utils import is_using_pp +from colossalai.utils.timer import MultiTimer +from colossalai.zero.init_ctx import ZeroInitContext + + +def calc_local_model_size(model: torch.nn.Module): + numel_per_device = 0 + for p in model.parameters(): + numel_per_device += p.numel() + return numel_per_device + + +def main(): + parser = colossalai.get_default_parser() + parser.add_argument('--from_torch', default=False, action='store_true') + args = parser.parse_args() + disable_existing_loggers() + if args.from_torch: + colossalai.launch_from_torch(config=args.config) + else: + colossalai.launch_from_slurm(config=args.config, host=args.host, port=29500, seed=42) + + logger = get_dist_logger() + + logger.info('Build data loader', ranks=[0]) + train_ds = WebtextDataset(os.environ['DATA'], seq_len=gpc.config.SEQ_LEN) + train_dataloader = utils.get_dataloader(train_ds, + seed=42, + batch_size=gpc.config.BATCH_SIZE, + pin_memory=True, + shuffle=True, + drop_last=True) + + logger.info('Build model', ranks=[0]) + use_pipeline = is_using_pp() + use_interleaved = hasattr(gpc.config.model, 'num_chunks') + num_chunks = getattr(gpc.config.model, 'num_chunks', 1) + use_zero3 = hasattr(gpc.config, 'zero') + + if not use_pipeline: + ctx = contextlib.nullcontext() + if use_zero3: + ctx = ZeroInitContext(target_device=torch.cuda.current_device(), + shard_strategy=gpc.config.zero.model_config.shard_strategy, + shard_param=True) + with ctx: + model = gpc.config.model.pop('type')(**gpc.config.model) + else: + pipelinable = PipelinableContext() + with pipelinable: + model = gpc.config.model.pop('type')(**gpc.config.model) + + def mask_function(attention_mask=None): + if attention_mask is not None: + batch_size = gpc.config.BATCH_SIZE // gpc.config.NUM_MICRO_BATCHES + attention_mask = attention_mask.view(batch_size, -1) + attention_mask = col_nn.partition_batch(attention_mask) + attention_mask = attention_mask.unsqueeze(1).unsqueeze(2) + attention_mask = (1.0 - attention_mask) * -10000.0 + return attention_mask + + # GPT2_small exec_seq + # (lyl)TODO: The exec_seq for gpt3 will be added here and to_layer_list should be more friendly to use. + exec_seq = ['embed', mask_function, 'blocks.0', 'blocks.1', 'blocks.2', 'blocks.3', 'blocks.4', 'blocks.5', (mask_function, "front"), \ + 'blocks.6', 'blocks.7', 'blocks.8', 'blocks.9', 'blocks.10', 'blocks.11', 'norm', 'head'] + pipelinable.to_layer_list(exec_seq) + ctx = contextlib.nullcontext() + # (lyl)TODO: Zero context and pipelinable context should be integrated into one context. + if use_zero3: + ctx = ZeroInitContext(target_device=torch.cuda.current_device(), + shard_strategy=gpc.config.zero.model_config.shard_strategy, + shard_param=True) + with ctx: + model = pipelinable.partition(num_chunks, gpc.pipeline_parallel_size, + gpc.get_local_rank(ParallelMode.PIPELINE)) + + if use_zero3: + numel = ctx.model_numel_tensor.item() + else: + numel = calc_local_model_size(model) + + tflop = numel * gpc.config.BATCH_SIZE * gpc.config.SEQ_LEN \ + * gpc.get_world_size(ParallelMode.MODEL) * gpc.get_world_size(ParallelMode.DATA) * 8 / (1024 ** 4) + + criterion = getattr(gpc.config, 'loss_fn', None) + if criterion is not None: + criterion = criterion.type() + else: + criterion = GPTLMLoss() + + logger.info('Build optimizer', ranks=[0]) + optimizer = gpc.config.optimizer.pop('type')(model.parameters(), **gpc.config.optimizer) + + lr_scheduler = LinearWarmupLR(optimizer, total_steps=gpc.config.NUM_EPOCHS, warmup_steps=5) + + engine, train_dataloader, _, lr_scheduler = colossalai.initialize(model, + optimizer, + criterion, + train_dataloader=train_dataloader, + lr_scheduler=lr_scheduler) + global_batch_size = gpc.config.BATCH_SIZE * \ + gpc.get_world_size(ParallelMode.DATA) * getattr(gpc.config, "gradient_accumulation", 1) + logger.info(f'Init done, global batch size = {global_batch_size}', ranks=[0]) + + timier = MultiTimer() + + trainer = Trainer(engine=engine, logger=logger, timer=timier) + + hook_list = [ + hooks.LossHook(), + hooks.LRSchedulerHook(lr_scheduler=lr_scheduler, by_epoch=True), + hooks.LogMetricByEpochHook(logger), + hooks.ThroughputHook(ignored_steps=10, tflop_per_step=tflop), + hooks.LogMetricByStepHook(), + hooks.LogMemoryByEpochHook(logger), + ] + + trainer.fit(train_dataloader=train_dataloader, + epochs=gpc.config.NUM_EPOCHS, + test_interval=1, + hooks=hook_list, + display_progress=True, + return_output_label=False) + + +if __name__ == '__main__': + main()