





import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np
import regex as re

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
	if is_torch_available():
		import torch
	if is_tf_available():
		import tensorflow as tf

from ...tokenization_utils import AddedToken, PreTrainedTokenizer


__A       : List[str]						    = logging.get_logger(__name__)

__A       : List[Any]						    = {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

__A       : Any						    = {
    "vocab_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json",
    },
    "merges_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt",
    },
}

__A       : Tuple						    = {
    "Salesforce/codegen-350M-mono": 2_048,
}





@lru_cache()
def 							__lowerCAmelCase(					)       ->   Optional[Any]:




				"""simple docstring"""




				_A    =       (
				    list(range(ord('!'							)       ,    ord('~'							) + 1							)							) + list(range(ord('¡'							)       ,    ord('¬'							) + 1							)							) + list(range(ord('®'							)       ,    ord('ÿ'							) + 1							)							)
				)
				_A    =       bs[:]
				_A    =       0
				for b in range(2**8							):
								if b not in bs:
												bs.append(lowercase__							)
												cs.append(2**8 + n							)
												n += 1
				_A    =       [chr(lowercase__							) for n in cs]
				return dict(zip(lowercase__       ,    lowercase__							)							)





def 							__lowerCAmelCase(					_SCREAMING_SNAKE_CASE							)       ->   Dict:




				"""simple docstring"""




				_A    =       set()
				_A    =       word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)							)
								_A    =       char
				return pairs







class     lowerCamelCase(	A_  ):
					'''simple docstring'''


					__magic_name__        = VOCAB_FILES_NAMES
					__magic_name__        = PRETRAINED_VOCAB_FILES_MAP
					__magic_name__        = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__magic_name__        = ['''input_ids''', '''attention_mask''']




					def __init__(						self							,    snake_case_							,    snake_case_							,    snake_case_="replace"							,    snake_case_="<|endoftext|>"							,    snake_case_="<|endoftext|>"							,    snake_case_="<|endoftext|>"							,    snake_case_=None							,    snake_case_=False							,    snake_case_=False							,    **snake_case_							,    ):
									_A    =       AddedToken(snake_case_							,    lstrip=snake_case_							,    rstrip=snake_case_       ) if isinstance(snake_case_							,    snake_case_       ) else bos_token
									_A    =       AddedToken(snake_case_							,    lstrip=snake_case_							,    rstrip=snake_case_       ) if isinstance(snake_case_							,    snake_case_       ) else eos_token
									_A    =       AddedToken(snake_case_							,    lstrip=snake_case_							,    rstrip=snake_case_       ) if isinstance(snake_case_							,    snake_case_       ) else unk_token
									_A    =       AddedToken(snake_case_							,    lstrip=snake_case_							,    rstrip=snake_case_       ) if isinstance(snake_case_							,    snake_case_       ) else pad_token
									super().__init__(
									    errors=snake_case_							,    unk_token=snake_case_							,    bos_token=snake_case_							,    eos_token=snake_case_							,    pad_token=snake_case_							,    add_prefix_space=snake_case_							,    add_bos_token=snake_case_							,    **snake_case_							,    )
									_A    =       add_bos_token

									with open(snake_case_							,    encoding='utf-8'       ) as vocab_handle:
													_A    =       json.load(snake_case_       )
									_A    =       {v: k for k, v in self.encoder.items()}
									_A    =       errors  # how to handle errors in decoding
									_A    =       bytes_to_unicode()
									_A    =       {v: k for k, v in self.byte_encoder.items()}
									with open(snake_case_							,    encoding='utf-8'       ) as merges_handle:
													_A    =       merges_handle.read().split('\n'       )[1:-1]
									_A    =       [tuple(merge.split()       ) for merge in bpe_merges]
									_A    =       dict(zip(snake_case_							,    range(len(snake_case_       )       )       )       )
									_A    =       {}
									_A    =       add_prefix_space

									# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
									_A    =       re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'       )




					@property
					def 					lowerCAmelCase__		(						self       ):
									return len(self.encoder       )




					def 					lowerCAmelCase__		(						self       ):
									return dict(self.encoder							,    **self.added_tokens_encoder       )




					def 					lowerCAmelCase__		(						self							,    snake_case_       ):
									if token in self.cache:
													return self.cache[token]
									_A    =       tuple(snake_case_       )
									_A    =       get_pairs(snake_case_       )

									if not pairs:
													return token

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

																	if word[i] == first and i < len(snake_case_       ) - 1 and word[i + 1] == second:
																					new_word.append(first + second       )
																					i += 2
																	else:
																					new_word.append(word[i]       )
																					i += 1
													_A    =       tuple(snake_case_       )
													_A    =       new_word
													if len(snake_case_       ) == 1:
																	break
													else:
																	_A    =       get_pairs(snake_case_       )
									_A    =       ' '.join(snake_case_       )
									_A    =       word
									return word




					def 					lowerCAmelCase__		(						self							,    snake_case_							,    snake_case_=None       ):
									if self.add_bos_token:
													_A    =       [self.bos_token_id]
									else:
													_A    =       []

									_A    =       bos_token_ids + token_ids_a

									if token_ids_a is None:
													return output

									return output + bos_token_ids + token_ids_a




					def 					lowerCAmelCase__		(						self							,    snake_case_       ):
									_A    =       []
									for token in re.findall(self.pat							,    snake_case_       ):
													_A    =       ''.join(
													    self.byte_encoder[b] for b in token.encode('utf-8'       )       )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
													bpe_tokens.extend(bpe_token for bpe_token in self.bpe(snake_case_       ).split(' '       )       )
									return bpe_tokens




					def 					lowerCAmelCase__		(						self							,    snake_case_       ):
									return self.encoder.get(snake_case_							,    self.encoder.get(self.unk_token       )       )




					def 					lowerCAmelCase__		(						self							,    snake_case_       ):
									return self.decoder.get(snake_case_       )




					def 					lowerCAmelCase__		(						self							,    snake_case_       ):
									_A    =       ''.join(snake_case_       )
									_A    =       bytearray([self.byte_decoder[c] for c in text]       ).decode('utf-8'							,    errors=self.errors       )
									return text




					def 					lowerCAmelCase__		(						self							,    snake_case_							,    snake_case_ = None       ):
									if not os.path.isdir(snake_case_       ):
													logger.error(F"Vocabulary path ({save_directory}) should be a directory"       )
													return
									_A    =       os.path.join(
									    snake_case_							,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )
									_A    =       os.path.join(
									    snake_case_							,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']       )

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

									_A    =       0
									with open(snake_case_							,    '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 snake_case_       : 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!'       )
																					_A    =       token_index
																	writer.write(' '.join(snake_case_       ) + '\n'       )
																	index += 1

									return vocab_file, merge_file




					def 					lowerCAmelCase__		(						self							,    snake_case_							,    snake_case_=False							,    **snake_case_       ):
									_A    =       kwargs.pop('add_prefix_space'							,    self.add_prefix_space       )
									if is_split_into_words or add_prefix_space:
													_A    =       ' ' + text
									return (text, kwargs)




					def 					lowerCAmelCase__		(						self							,    snake_case_							,    snake_case_ = False							,    snake_case_ = None							,    snake_case_ = None							,    **snake_case_							,    ):
									_A    =       super()._decode(
									    token_ids=snake_case_							,    skip_special_tokens=snake_case_							,    clean_up_tokenization_spaces=snake_case_							,    **snake_case_							,    )

									if truncate_before_pattern is not None and len(snake_case_       ) > 0:
													_A    =       self.truncate(snake_case_							,    snake_case_       )

									return decoded_text




					def 					lowerCAmelCase__		(						self							,    snake_case_							,    snake_case_       ):
									def find_re(snake_case_							,    snake_case_							,    snake_case_       ):
													_A    =       pattern.search(snake_case_							,    snake_case_       )
													return m.start() if m else -1

									_A    =       [re.compile(snake_case_							,    re.MULTILINE       ) for pattern in truncate_before_pattern]

									_A    =       list(re.finditer('^print'							,    snake_case_							,    re.MULTILINE       )       )

									if len(snake_case_       ) > 1:
													_A    =       completion[: prints[1].start()]

									_A    =       list(re.finditer('^def'							,    snake_case_							,    re.MULTILINE       )       )

									if len(snake_case_       ) > 1:
													_A    =       completion[: defs[1].start()]

									_A    =       0

									_A    =       [
									    pos for pos in [find_re(snake_case_							,    snake_case_							,    snake_case_       ) for terminal in terminals] if pos != -1
									]

									if len(snake_case_       ) > 0:
													return completion[: min(snake_case_       )]
									else:
													return completion












from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest







@require_tokenizers
class     lowerCamelCase(	__snake_case  ):
     '''simple docstring'''


     __magic_name__        = SqueezeBertTokenizer
     __magic_name__        = SqueezeBertTokenizerFast
     __magic_name__        = True




     def 					lowerCAmelCase__		(						self							,    **snake_case_       ):
         return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname							,    **snake_case_       )




     @slow
     def 					lowerCAmelCase__		(						self       ):
         _A    =       SqueezeBertTokenizer.from_pretrained('squeezebert/squeezebert-mnli-headless'       )

         _A    =       tokenizer.encode('sequence builders'							,    add_special_tokens=snake_case_       )
         _A    =       tokenizer.encode('multi-sequence build'							,    add_special_tokens=snake_case_       )

         _A    =       tokenizer.build_inputs_with_special_tokens(snake_case_       )
         _A    =       tokenizer.build_inputs_with_special_tokens(snake_case_							,    snake_case_       )

         assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
         assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
             tokenizer.sep_token_id
         ]





