





"""simple docstring"""


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


__magic_name__					:				str	=				logging.get_logger(__name__)

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

__magic_name__					:				List[str]	=				{
    """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""",
    },
}

__magic_name__					:				Tuple	=				{
    """Salesforce/codegen-350M-mono""": 2_0_4_8,
}

@lru_cache()
def     UpperCamelCase       ():
						UpperCamelCase							:		Optional[int]							      = (
						    list(range(ord("""!"""    )       ,    ord("""~"""    ) + 1    )    ) + list(range(ord("""¡"""    )       ,    ord("""¬"""    ) + 1    )    ) + list(range(ord("""®"""    )       ,    ord("""ÿ"""    ) + 1    )    )
						)
						UpperCamelCase							:		List[Any]							      = bs[:]
						UpperCamelCase							:		Optional[int]							      = 0
						for b in range(2**8    ):
												if b not in bs:
																		bs.append(lowercase_    )
																		cs.append(2**8 + n    )
																		n += 1
						UpperCamelCase							:		Optional[int]							      = [chr(lowercase_    ) for n in cs]
						return dict(zip(lowercase_       ,    lowercase_    )    )

def     UpperCamelCase       (SCREAMING_SNAKE_CASE    ):
						UpperCamelCase							:		Tuple							      = set()
						UpperCamelCase							:		Dict							      = word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)    )
												UpperCamelCase							:		int							      = char
						return pairs






class        lowercase__ (      __UpperCAmelCase  ):

			"""simple docstring"""
			__lowerCAmelCase    :							str								=     VOCAB_FILES_NAMES
			__lowerCAmelCase    :							Optional[Any]								=     PRETRAINED_VOCAB_FILES_MAP
			__lowerCAmelCase    :							Optional[int]								=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__lowerCAmelCase    :							List[Any]								=     ["""input_ids""", """attention_mask"""]







			def __init__(			self	,      _A	,      _A	,      _A="replace"	,      _A="<|endoftext|>"	,      _A="<|endoftext|>"	,      _A="<|endoftext|>"	,      _A=None	,      _A=False	,      _A=False	,      **_A	,      ):






									'''simple docstring'''







									UpperCamelCase							:		str							      = AddedToken(lowercase_	,      lstrip=lowercase_	,      rstrip=lowercase_						) if isinstance(lowercase_	,      lowercase_						) else bos_token
									UpperCamelCase							:		Dict							      = AddedToken(lowercase_	,      lstrip=lowercase_	,      rstrip=lowercase_						) if isinstance(lowercase_	,      lowercase_						) else eos_token
									UpperCamelCase							:		Dict							      = AddedToken(lowercase_	,      lstrip=lowercase_	,      rstrip=lowercase_						) if isinstance(lowercase_	,      lowercase_						) else unk_token
									UpperCamelCase							:		int							      = AddedToken(lowercase_	,      lstrip=lowercase_	,      rstrip=lowercase_						) if isinstance(lowercase_	,      lowercase_						) else pad_token
									super().__init__(
									    errors=lowercase_	,      unk_token=lowercase_	,      bos_token=lowercase_	,      eos_token=lowercase_	,      pad_token=lowercase_	,      add_prefix_space=lowercase_	,      add_bos_token=lowercase_	,      **lowercase_	,      )
									UpperCamelCase							:		Union[str, Any]							      = add_bos_token

									with open(lowercase_	,      encoding="""utf-8"""						) as vocab_handle:
															UpperCamelCase							:		Optional[Any]							      = json.load(lowercase_						)
									UpperCamelCase							:		Union[str, Any]							      = {v: k for k, v in self.encoder.items()}
									UpperCamelCase							:		Optional[Any]							      = errors  # how to handle errors in decoding
									UpperCamelCase							:		Dict							      = bytes_to_unicode()
									UpperCamelCase							:		Any							      = {v: k for k, v in self.byte_encoder.items()}
									with open(lowercase_	,      encoding="""utf-8"""						) as merges_handle:
															UpperCamelCase							:		Tuple							      = merges_handle.read().split("""\n"""						)[1:-1]
									UpperCamelCase							:		Tuple							      = [tuple(merge.split()						) for merge in bpe_merges]
									UpperCamelCase							:		str							      = dict(zip(lowercase_	,      range(len(lowercase_						)						)						)						)
									UpperCamelCase							:		Optional[Any]							      = {}
									UpperCamelCase							:		List[str]							      = add_prefix_space

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







			@property
			def      _a			(			self						):






									'''simple docstring'''







									return len(self.encoder						)







			def      _a			(			self						):






									'''simple docstring'''







									return dict(self.encoder	,      **self.added_tokens_encoder						)







			def      _a			(			self	,      _A						):






									'''simple docstring'''







									if token in self.cache:
															return self.cache[token]
									UpperCamelCase							:		Any							      = tuple(lowercase_						)
									UpperCamelCase							:		Any							      = get_pairs(lowercase_						)

									if not pairs:
															return token

									while True:
															UpperCamelCase							:		str							      = min(lowercase_	,      key=lambda _A						: self.bpe_ranks.get(lowercase_	,      float("""inf"""						)						)						)
															if bigram not in self.bpe_ranks:
																					break
															UpperCamelCase							:		Optional[int]							      = bigram
															UpperCamelCase							:		List[Any]							      = []
															UpperCamelCase							:		Dict							      = 0
															while i < len(lowercase_						):
																					try:
																											UpperCamelCase							:		Any							      = word.index(lowercase_	,      lowercase_						)
																					except ValueError:
																											new_word.extend(word[i:]						)
																											break
																					else:
																											new_word.extend(word[i:j]						)
																											UpperCamelCase							:		Union[str, Any]							      = 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							:		Optional[Any]							      = tuple(lowercase_						)
															UpperCamelCase							:		Tuple							      = new_word
															if len(lowercase_						) == 1:
																					break
															else:
																					UpperCamelCase							:		List[Any]							      = get_pairs(lowercase_						)
									UpperCamelCase							:		Optional[int]							      = ''' '''.join(lowercase_						)
									UpperCamelCase							:		List[Any]							      = word
									return word







			def      _a			(			self	,      _A	,      _A=None						):






									'''simple docstring'''







									if self.add_bos_token:
															UpperCamelCase							:		int							      = [self.bos_token_id]
									else:
															UpperCamelCase							:		Optional[Any]							      = []

									UpperCamelCase							:		List[Any]							      = bos_token_ids + token_ids_a

									if token_ids_a is None:
															return output

									return output + bos_token_ids + token_ids_a







			def      _a			(			self	,      _A						):






									'''simple docstring'''







									UpperCamelCase							:		str							      = []
									for token in re.findall(self.pat	,      lowercase_						):
															UpperCamelCase							:		Optional[int]							      = ''''''.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(lowercase_						).split(""" """						)						)
									return bpe_tokens







			def      _a			(			self	,      _A						):






									'''simple docstring'''







									return self.encoder.get(lowercase_	,      self.encoder.get(self.unk_token						)						)







			def      _a			(			self	,      _A						):






									'''simple docstring'''







									return self.decoder.get(lowercase_						)







			def      _a			(			self	,      _A						):






									'''simple docstring'''







									UpperCamelCase							:		Tuple							      = ''''''.join(lowercase_						)
									UpperCamelCase							:		Tuple							      = bytearray([self.byte_decoder[c] for c in text]						).decode("""utf-8"""	,      errors=self.errors						)
									return text







			def      _a			(			self	,      _A	,      _A = None						):






									'''simple docstring'''







									if not os.path.isdir(lowercase_						):
															logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""						)
															return
									UpperCamelCase							:		int							      = os.path.join(
									    lowercase_	,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)
									UpperCamelCase							:		Optional[int]							      = 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							:		Optional[Any]							      = 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 _A						: 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							:		List[Any]							      = token_index
																					writer.write(""" """.join(lowercase_						) + """\n"""						)
																					index += 1

									return vocab_file, merge_file







			def      _a			(			self	,      _A	,      _A=False	,      **_A						):






									'''simple docstring'''







									UpperCamelCase							:		Union[str, Any]							      = kwargs.pop("""add_prefix_space"""	,      self.add_prefix_space						)
									if is_split_into_words or add_prefix_space:
															UpperCamelCase							:		Optional[Any]							      = ''' ''' + text
									return (text, kwargs)







			def      _a			(			self	,      _A	,      _A = False	,      _A = None	,      _A = None	,      **_A	,      ):






									'''simple docstring'''







									UpperCamelCase							:		Optional[int]							      = super()._decode(
									    token_ids=lowercase_	,      skip_special_tokens=lowercase_	,      clean_up_tokenization_spaces=lowercase_	,      **lowercase_	,      )

									if truncate_before_pattern is not None and len(lowercase_						) > 0:
															UpperCamelCase							:		List[str]							      = self.truncate(lowercase_	,      lowercase_						)

									return decoded_text







			def      _a			(			self	,      _A	,      _A						):






									'''simple docstring'''







									def find_re(_A	,      _A	,      _A						):
															UpperCamelCase							:		Dict							      = pattern.search(lowercase_	,      lowercase_						)
															return m.start() if m else -1

									UpperCamelCase							:		Optional[int]							      = [re.compile(lowercase_	,      re.MULTILINE						) for pattern in truncate_before_pattern]

									UpperCamelCase							:		int							      = list(re.finditer("""^print"""	,      lowercase_	,      re.MULTILINE						)						)

									if len(lowercase_						) > 1:
															UpperCamelCase							:		Optional[Any]							      = completion[: prints[1].start()]

									UpperCamelCase							:		Optional[Any]							      = list(re.finditer("""^def"""	,      lowercase_	,      re.MULTILINE						)						)

									if len(lowercase_						) > 1:
															UpperCamelCase							:		Optional[Any]							      = completion[: defs[1].start()]

									UpperCamelCase							:		Dict							      = 0

									UpperCamelCase							:		Any							      = [
									    pos for pos in [find_re(lowercase_	,      lowercase_	,      lowercase_						) for terminal in terminals] if pos != -1
									]

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










"""simple docstring"""


from __future__ import annotations

def     UpperCamelCase       (SCREAMING_SNAKE_CASE    ):
						UpperCamelCase							:		Tuple							      = [0] * max_one

						for i in range(0       ,    SCREAMING_SNAKE_CASE    ):
												UpperCamelCase							:		Union[str, Any]							      = i

						for i in range(2       ,    SCREAMING_SNAKE_CASE    ):
												if totients[i] == i:
																		for j in range(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    ):
																								totients[j] -= totients[j] // i

						return totients

def     UpperCamelCase       (SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    ):
						return sorted(str(SCREAMING_SNAKE_CASE    )    ) == sorted(str(SCREAMING_SNAKE_CASE    )    )

def     UpperCamelCase       (SCREAMING_SNAKE_CASE = 1000_0000    ):
						UpperCamelCase							:		List[str]							      = 1  # i
						UpperCamelCase							:		Optional[int]							      = 0  # φ(i)
						UpperCamelCase							:		List[str]							      = get_totients(max_n + 1    )

						for i in range(2       ,    max_n + 1    ):
												UpperCamelCase							:		Tuple							      = totients[i]

												if i * min_denominator < min_numerator * t and has_same_digits(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    ):
																		UpperCamelCase							:		str							      = i
																		UpperCamelCase							:		Tuple							      = t

						return min_numerator


if __name__ == "__main__":
		print(f'''{solution() = }''')



