





'''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


lowercase_			       =				logging.get_logger(__name__)

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

lowercase_			       =				{
    """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""",
    },
}

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





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





def lowerCamelCase		(  __lowerCamelCase				:					List[str]					)		->Union[str, Any]:
    _SCREAMING_SNAKE_CASE             =    set()
    _SCREAMING_SNAKE_CASE             =    word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)					)
        _SCREAMING_SNAKE_CASE             =    char
    return pairs






class       a_  (       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				,	A				,	A				,	A="replace"				,	A="<|endoftext|>"				,	A="<|endoftext|>"				,	A="<|endoftext|>"				,	A=None				,	A=False				,	A=False				,	**A				,	)	->     List[str]:
        _SCREAMING_SNAKE_CASE             =    AddedToken(A				,	lstrip=A				,	rstrip=A ) if isinstance(A				,	A ) else bos_token
        _SCREAMING_SNAKE_CASE             =    AddedToken(A				,	lstrip=A				,	rstrip=A ) if isinstance(A				,	A ) else eos_token
        _SCREAMING_SNAKE_CASE             =    AddedToken(A				,	lstrip=A				,	rstrip=A ) if isinstance(A				,	A ) else unk_token
        _SCREAMING_SNAKE_CASE             =    AddedToken(A				,	lstrip=A				,	rstrip=A ) if isinstance(A				,	A ) else pad_token
        super().__init__(
            errors=A				,	unk_token=A				,	bos_token=A				,	eos_token=A				,	pad_token=A				,	add_prefix_space=A				,	add_bos_token=A				,	**A				,	)
        _SCREAMING_SNAKE_CASE             =    add_bos_token

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

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


    @property
    def     snake_case_(	self )	->     int:
        return len(self.encoder )


    def     snake_case_(	self )	->     Tuple:
        return dict(self.encoder				,	**self.added_tokens_encoder )


    def     snake_case_(	self				,	A )	->     List[Any]:
        if token in self.cache:
            return self.cache[token]
        _SCREAMING_SNAKE_CASE             =    tuple(A )
        _SCREAMING_SNAKE_CASE             =    get_pairs(A )

        if not pairs:
            return token

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

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


    def     snake_case_(	self				,	A				,	A=None )	->     List[str]:
        if self.add_bos_token:
            _SCREAMING_SNAKE_CASE             =    [self.bos_token_id]
        else:
            _SCREAMING_SNAKE_CASE             =    []

        _SCREAMING_SNAKE_CASE             =    bos_token_ids + token_ids_a

        if token_ids_a is None:
            return output

        return output + bos_token_ids + token_ids_a


    def     snake_case_(	self				,	A )	->     str:
        _SCREAMING_SNAKE_CASE             =    []
        for token in re.findall(self.pat				,	A ):
            _SCREAMING_SNAKE_CASE             =    """""".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(A ).split(""" """ ) )
        return bpe_tokens


    def     snake_case_(	self				,	A )	->     Any:
        return self.encoder.get(A				,	self.encoder.get(self.unk_token ) )


    def     snake_case_(	self				,	A )	->     Dict:
        return self.decoder.get(A )


    def     snake_case_(	self				,	A )	->     Dict:
        _SCREAMING_SNAKE_CASE             =    """""".join(A )
        _SCREAMING_SNAKE_CASE             =    bytearray([self.byte_decoder[c] for c in text] ).decode("""utf-8"""				,	errors=self.errors )
        return text


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

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

        _SCREAMING_SNAKE_CASE             =    0
        with open(A				,	"""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!""" )
                    _SCREAMING_SNAKE_CASE             =    token_index
                writer.write(""" """.join(A ) + """\n""" )
                index += 1

        return vocab_file, merge_file


    def     snake_case_(	self				,	A				,	A=False				,	**A )	->     Tuple:
        _SCREAMING_SNAKE_CASE             =    kwargs.pop("""add_prefix_space"""				,	self.add_prefix_space )
        if is_split_into_words or add_prefix_space:
            _SCREAMING_SNAKE_CASE             =    """ """ + text
        return (text, kwargs)


    def     snake_case_(	self				,	A				,	A = False				,	A = None				,	A = None				,	**A				,	)	->     str:
        _SCREAMING_SNAKE_CASE             =    super()._decode(
            token_ids=A				,	skip_special_tokens=A				,	clean_up_tokenization_spaces=A				,	**A				,	)

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

        return decoded_text





    def     snake_case_(	self				,	A				,	A )	->     Dict:
        def find_re(A				,	A				,	A ):
            _SCREAMING_SNAKE_CASE             =    pattern.search(A				,	A )
            return m.start() if m else -1

        _SCREAMING_SNAKE_CASE             =    [re.compile(A				,	re.MULTILINE ) for pattern in truncate_before_pattern]

        _SCREAMING_SNAKE_CASE             =    list(re.finditer("""^print"""				,	A				,	re.MULTILINE ) )

        if len(A ) > 1:
            _SCREAMING_SNAKE_CASE             =    completion[: prints[1].start()]

        _SCREAMING_SNAKE_CASE             =    list(re.finditer("""^def"""				,	A				,	re.MULTILINE ) )

        if len(A ) > 1:
            _SCREAMING_SNAKE_CASE             =    completion[: defs[1].start()]

        _SCREAMING_SNAKE_CASE             =    0

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

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










'''simple docstring'''

import math
from timeit import timeit





def lowerCamelCase		(  __lowerCamelCase				:					int					)		->int:
    _SCREAMING_SNAKE_CASE             =    0
    _SCREAMING_SNAKE_CASE             =    abs(__lowerCamelCase					)
    while True:
        _SCREAMING_SNAKE_CASE             =    n // 10
        digits += 1
        if n == 0:
            break
    return digits





def lowerCamelCase		(  __lowerCamelCase				:					int					)		->int:
    return 1 if n == 0 else math.floor(math.log(abs(__lowerCamelCase					)      , 10					) + 1					)





def lowerCamelCase		(  __lowerCamelCase				:					int					)		->int:
    return len(str(abs(__lowerCamelCase					)					)					)





def lowerCamelCase		(  )		->None:
    from collections.abc import Callable

    def benchmark_a_function(__lowerCamelCase				:					Callable      , __lowerCamelCase				:					int					) -> None:
        _SCREAMING_SNAKE_CASE             =    F'{func.__name__}({value})'
        _SCREAMING_SNAKE_CASE             =    timeit(F'__main__.{call}'      , setup="""import __main__"""					)
        print(F'{call}: {func(__lowerCamelCase					)} -- {timing} seconds'					)

    for value in (26_2144, 1125_8999_0684_2624, 126_7650_6002_2822_9401_4967_0320_5376):
        for func in (num_digits, num_digits_fast, num_digits_faster):
            benchmark_a_function(__lowerCamelCase      , __lowerCamelCase					)
        print()


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      benchmark()



