



"""simple docstring"""


import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


snake_case_         = """
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
"""







class    A_    (  unittest.TestCase			,     SCREAMING_SNAKE_CASE_       ):



						"""simple docstring"""






						def 			UpperCAmelCase__  (      self				:Dict      )       ->    List[Any]:
												UpperCAmelCase    =				load_tool('summarization'      )
												self.tool.setup()
												UpperCAmelCase    =				load_tool('summarization'     ,						remote=lowercase_      )






						def 			UpperCAmelCase__  (      self				:List[str]      )       ->    Tuple:
												UpperCAmelCase    =				self.tool(lowercase_      )
												self.assertEqual(
												    lowercase_     ,						'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'     ,						)






						def 			UpperCAmelCase__  (      self				:List[Any]      )       ->    int:
												UpperCAmelCase    =				self.remote_tool(lowercase_      )
												self.assertEqual(
												    lowercase_     ,						'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'     ,						)






						def 			UpperCAmelCase__  (      self				:Optional[Any]      )       ->    Optional[int]:
												UpperCAmelCase    =				self.tool(text=lowercase_      )
												self.assertEqual(
												    lowercase_     ,						'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'     ,						)






						def 			UpperCAmelCase__  (      self				:Optional[int]      )       ->    Tuple:
												UpperCAmelCase    =				self.remote_tool(text=lowercase_      )
												self.assertEqual(
												    lowercase_     ,						'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'     ,						)










"""simple docstring"""


import json
import os
import re
import unicodedata
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer, _is_control, _is_punctuation, _is_whitespace
from ...utils import logging


snake_case_         = logging.get_logger(__name__)

snake_case_         = {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

snake_case_         = {
    """vocab_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/vocab.json"""},
    """merges_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/merges.txt"""},
}

snake_case_         = {
    """openai-gpt""": 512,
}

def 				_lowerCAmelCase   (     lowercase_		):
						UpperCAmelCase    =				text.strip()
						if not text:
												return []
						UpperCAmelCase    =				text.split()
						return tokens







class    A_    (  SCREAMING_SNAKE_CASE_       ):



						"""simple docstring"""






						def __init__(      self				:Dict     ,						lowercase_				:int=True     ,						lowercase_				:Union[str, Any]=None     ,						lowercase_				:List[Any]=True     ,						lowercase_				:List[str]=None     ,						lowercase_				:Optional[int]=True     ,						)       ->    Any:
												if never_split is None:
																		UpperCAmelCase    =				[]
												UpperCAmelCase    =				do_lower_case
												UpperCAmelCase    =				set(lowercase_      )
												UpperCAmelCase    =				tokenize_chinese_chars
												UpperCAmelCase    =				strip_accents
												UpperCAmelCase    =				do_split_on_punc






						def 			UpperCAmelCase__  (      self				:List[str]     ,						lowercase_				:Optional[int]     ,						lowercase_				:int=None      )       ->    List[Any]:
												UpperCAmelCase    =				self.never_split.union(set(lowercase_      )      ) if never_split else self.never_split
												UpperCAmelCase    =				self._clean_text(lowercase_      )

												# This was added on November 1st, 2018 for the multilingual and Chinese
												# models. This is also applied to the English models now, but it doesn't
												# matter since the English models were not trained on any Chinese data
												# and generally don't have any Chinese data in them (there are Chinese
												# characters in the vocabulary because Wikipedia does have some Chinese
												# words in the English Wikipedia.).
												if self.tokenize_chinese_chars:
																		UpperCAmelCase    =				self._tokenize_chinese_chars(lowercase_      )
												# prevents treating the same character with different unicode codepoints as different characters
												UpperCAmelCase    =				unicodedata.normalize('NFC'     ,						lowercase_      )
												UpperCAmelCase    =				whitespace_tokenize(lowercase_      )
												UpperCAmelCase    =				[]
												for token in orig_tokens:
																		if token not in never_split:
																								if self.do_lower_case:
																														UpperCAmelCase    =				token.lower()
																														if self.strip_accents is not False:
																																				UpperCAmelCase    =				self._run_strip_accents(lowercase_      )
																								elif self.strip_accents:
																														UpperCAmelCase    =				self._run_strip_accents(lowercase_      )
																		split_tokens.extend(self._run_split_on_punc(lowercase_     ,						lowercase_      )      )

												UpperCAmelCase    =				whitespace_tokenize(' '.join(lowercase_      )      )
												return output_tokens






						def 			UpperCAmelCase__  (      self				:Tuple     ,						lowercase_				:int      )       ->    Tuple:
												UpperCAmelCase    =				unicodedata.normalize('NFD'     ,						lowercase_      )
												UpperCAmelCase    =				[]
												for char in text:
																		UpperCAmelCase    =				unicodedata.category(lowercase_      )
																		if cat == "Mn":
																								continue
																		output.append(lowercase_      )
												return "".join(lowercase_      )






						def 			UpperCAmelCase__  (      self				:Optional[Any]     ,						lowercase_				:Tuple     ,						lowercase_				:Optional[Any]=None      )       ->    Optional[int]:
												if not self.do_split_on_punc or (never_split is not None and text in never_split):
																		return [text]
												UpperCAmelCase    =				list(lowercase_      )
												UpperCAmelCase    =				0
												UpperCAmelCase    =				True
												UpperCAmelCase    =				[]
												while i < len(lowercase_      ):
																		UpperCAmelCase    =				chars[i]
																		if _is_punctuation(lowercase_      ):
																								output.append([char]      )
																								UpperCAmelCase    =				True
																		else:
																								if start_new_word:
																														output.append([]      )
																								UpperCAmelCase    =				False
																								output[-1].append(lowercase_      )
																		i += 1

												return ["".join(lowercase_      ) for x in output]






						def 			UpperCAmelCase__  (      self				:Optional[int]     ,						lowercase_				:str      )       ->    int:
												UpperCAmelCase    =				[]
												for char in text:
																		UpperCAmelCase    =				ord(lowercase_      )
																		if self._is_chinese_char(lowercase_      ):
																								output.append(' '      )
																								output.append(lowercase_      )
																								output.append(' '      )
																		else:
																								output.append(lowercase_      )
												return "".join(lowercase_      )






						def 			UpperCAmelCase__  (      self				:List[Any]     ,						lowercase_				:int      )       ->    Optional[Any]:
												# This defines a "chinese character" as anything in the CJK Unicode block:
												#   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
												#
												# Note that the CJK Unicode block is NOT all Japanese and Korean characters,
												# despite its name. The modern Korean Hangul alphabet is a different block,
												# as is Japanese Hiragana and Katakana. Those alphabets are used to write
												# space-separated words, so they are not treated specially and handled
												# like the all of the other languages.
												if (
												    (cp >= 0x4E00 and cp <= 0x9FFF)
												    or (cp >= 0x3400 and cp <= 0x4DBF)  #
												    or (cp >= 0x20000 and cp <= 0x2A6DF)  #
												    or (cp >= 0x2A700 and cp <= 0x2B73F)  #
												    or (cp >= 0x2B740 and cp <= 0x2B81F)  #
												    or (cp >= 0x2B820 and cp <= 0x2CEAF)  #
												    or (cp >= 0xF900 and cp <= 0xFAFF)
												    or (cp >= 0x2F800 and cp <= 0x2FA1F)  #
												):  #
																		return True

												return False






						def 			UpperCAmelCase__  (      self				:Optional[Any]     ,						lowercase_				:int      )       ->    List[Any]:
												UpperCAmelCase    =				[]
												for char in text:
																		UpperCAmelCase    =				ord(lowercase_      )
																		if cp == 0 or cp == 0xFFFD or _is_control(lowercase_      ):
																								continue
																		if _is_whitespace(lowercase_      ):
																								output.append(' '      )
																		else:
																								output.append(lowercase_      )
												return "".join(lowercase_      )


def 				_lowerCAmelCase   (     lowercase_		):
						UpperCAmelCase    =				set()
						UpperCAmelCase    =				word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)		)
												UpperCAmelCase    =				char
						return pairs

def 				_lowerCAmelCase   (     lowercase_		):
						UpperCAmelCase    =				text.replace('—'	,			'-'		)
						UpperCAmelCase    =				text.replace('–'	,			'-'		)
						UpperCAmelCase    =				text.replace('―'	,			'-'		)
						UpperCAmelCase    =				text.replace('…'	,			'...'		)
						UpperCAmelCase    =				text.replace('´'	,			'\''		)
						UpperCAmelCase    =				re.sub(R'(-+|~+|!+|"+|;+|\?+|\++|,+|\)+|\(+|\\+|\/+|\*+|\[+|\]+|}+|{+|\|+|_+)'	,			R' \1 '	,			lowercase_		)
						UpperCAmelCase    =				re.sub(R'\s*\n\s*'	,			' \n '	,			lowercase_		)
						UpperCAmelCase    =				re.sub(R'[^\S\n]+'	,			' '	,			lowercase_		)
						return text.strip()







class    A_    (  SCREAMING_SNAKE_CASE_       ):



						"""simple docstring"""
						__UpperCamelCase	       =							VOCAB_FILES_NAMES
						__UpperCamelCase	       =							PRETRAINED_VOCAB_FILES_MAP
						__UpperCamelCase	       =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__UpperCamelCase	       =							["""input_ids""", """attention_mask"""]






						def __init__(      self				:Dict     ,						lowercase_				:Optional[int]     ,						lowercase_				:Dict     ,						lowercase_				:List[str]="<unk>"     ,						**lowercase_				:Tuple      )       ->    Dict:
												super().__init__(unk_token=lowercase_     ,						**lowercase_      )

												try:
																		import ftfy
																		from spacy.lang.en import English

																		UpperCAmelCase    =				English()
																		UpperCAmelCase    =				_nlp.tokenizer
																		UpperCAmelCase    =				ftfy.fix_text
												except ImportError:
																		logger.warning('ftfy or spacy is not installed using BERT BasicTokenizer instead of SpaCy & ftfy.'      )
																		UpperCAmelCase    =				BasicTokenizer(do_lower_case=lowercase_      )
																		UpperCAmelCase    =				None

												with open(lowercase_     ,						encoding='utf-8'      ) as vocab_handle:
																		UpperCAmelCase    =				json.load(lowercase_      )
												UpperCAmelCase    =				{v: k for k, v in self.encoder.items()}
												with open(lowercase_     ,						encoding='utf-8'      ) as merges_handle:
																		UpperCAmelCase    =				merges_handle.read().split('\n'      )[1:-1]
												UpperCAmelCase    =				[tuple(merge.split()      ) for merge in merges]
												UpperCAmelCase    =				dict(zip(lowercase_     ,						range(len(lowercase_      )      )      )      )
												UpperCAmelCase    =				{}






						@property
						def 			UpperCAmelCase__  (      self				:Union[str, Any]      )       ->    List[Any]:
												return True






						@property
						def 			UpperCAmelCase__  (      self				:str      )       ->    str:
												return len(self.encoder      )






						def 			UpperCAmelCase__  (      self				:Optional[int]      )       ->    Optional[Any]:
												return dict(self.encoder     ,						**self.added_tokens_encoder      )






						def 			UpperCAmelCase__  (      self				:Union[str, Any]     ,						lowercase_				:List[Any]      )       ->    int:
												UpperCAmelCase    =				tuple(token[:-1]      ) + (token[-1] + '</w>',)
												if token in self.cache:
																		return self.cache[token]
												UpperCAmelCase    =				get_pairs(lowercase_      )

												if not pairs:
																		return token + "</w>"

												while True:
																		UpperCAmelCase    =				min(lowercase_     ,						key=lambda lowercase_      : self.bpe_ranks.get(lowercase_     ,						float('inf'      )      )      )
																		if bigram not in self.bpe_ranks:
																								break
																		UpperCAmelCase   ,					UpperCAmelCase    =				bigram
																		UpperCAmelCase    =				[]
																		UpperCAmelCase    =				0
																		while i < len(lowercase_      ):
																								try:
																														UpperCAmelCase    =				word.index(lowercase_     ,						lowercase_      )
																								except ValueError:
																														new_word.extend(word[i:]      )
																														break
																								else:
																														new_word.extend(word[i:j]      )
																														UpperCAmelCase    =				j

																								if word[i] == first and i < len(lowercase_      ) - 1 and word[i + 1] == second:
																														new_word.append(first + second      )
																														i += 2
																								else:
																														new_word.append(word[i]      )
																														i += 1
																		UpperCAmelCase    =				tuple(lowercase_      )
																		UpperCAmelCase    =				new_word
																		if len(lowercase_      ) == 1:
																								break
																		else:
																								UpperCAmelCase    =				get_pairs(lowercase_      )
												UpperCAmelCase    =				' '.join(lowercase_      )
												if word == "\n  </w>":
																		UpperCAmelCase    =				'\n</w>'
												UpperCAmelCase    =				word
												return word






						def 			UpperCAmelCase__  (      self				:List[str]     ,						lowercase_				:Union[str, Any]      )       ->    str:
												UpperCAmelCase    =				[]
												if self.fix_text is None:
																		# Using BERT's BasicTokenizer
																		UpperCAmelCase    =				self.nlp.tokenize(lowercase_      )
																		for token in text:
																								split_tokens.extend(list(self.bpe(lowercase_      ).split(' '      )      )      )
												else:
																		# Using SpaCy & ftfy (original tokenization process of OpenAI GPT)
																		UpperCAmelCase    =				self.nlp(text_standardize(self.fix_text(lowercase_      )      )      )
																		for token in text:
																								split_tokens.extend(list(self.bpe(token.text.lower()      ).split(' '      )      )      )
												return split_tokens






						def 			UpperCAmelCase__  (      self				:Tuple     ,						lowercase_				:Optional[Any]      )       ->    Tuple:
												return self.encoder.get(lowercase_     ,						self.encoder.get(self.unk_token      )      )






						def 			UpperCAmelCase__  (      self				:List[Any]     ,						lowercase_				:str      )       ->    Union[str, Any]:
												return self.decoder.get(lowercase_     ,						self.unk_token      )






						def 			UpperCAmelCase__  (      self				:Tuple     ,						lowercase_				:Optional[Any]      )       ->    Tuple:
												UpperCAmelCase    =				''.join(lowercase_      ).replace('</w>'     ,						' '      ).strip()
												return out_string






						def 			UpperCAmelCase__  (      self				:List[str]     ,						lowercase_				:str     ,						lowercase_				:Optional[str] = None      )       ->    Tuple[str]:
												if not os.path.isdir(lowercase_      ):
																		logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""      )
																		return
												UpperCAmelCase    =				os.path.join(
												    lowercase_     ,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
												UpperCAmelCase    =				os.path.join(
												    lowercase_     ,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']      )

												with open(lowercase_     ,						'w'     ,						encoding='utf-8'      ) as f:
																		f.write(json.dumps(self.encoder     ,						indent=2     ,						sort_keys=lowercase_     ,						ensure_ascii=lowercase_      ) + '\n'      )

												UpperCAmelCase    =				0
												with open(lowercase_     ,						'w'     ,						encoding='utf-8'      ) as writer:
																		writer.write('#version: 0.2\n'      )
																		for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,						key=lambda lowercase_      : kv[1]      ):
																								if index != token_index:
																														logger.warning(
																														    f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
																														    ' Please check that the tokenizer is not corrupted!'      )
																														UpperCAmelCase    =				token_index
																								writer.write(' '.join(lowercase_      ) + '\n'      )
																								index += 1

												return vocab_file, merge_file





