





"""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


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

lowerCamelCase_	:		Optional[int]         =   {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

lowerCamelCase_	:		Optional[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',
    },
}

lowerCamelCase_	:		str         =   {
    'Salesforce/codegen-350M-mono': 20_48,
}





@lru_cache()
def 		UpperCAmelCase__						(	):






  """simple docstring"""





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





def 		UpperCAmelCase__						(	_UpperCAmelCase   ):






  """simple docstring"""





  A_    :			Tuple									=    set()
  A_    :			Any									=    word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)   )
    A_    :			List[Any]									=    char
  return pairs





class 					_UpperCAmelCase    (  UpperCAmelCase__						):



      '''simple docstring'''
      lowercase_ :					Any             =  VOCAB_FILES_NAMES
      lowercase_ :					List[str]             =  PRETRAINED_VOCAB_FILES_MAP
      lowercase_ :					str             =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowercase_ :					int             =  ["""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_   , ):

        """simple docstring"""

        A_    :			Optional[int]									=    AddedToken(snake_case_   , lstrip=snake_case_   , rstrip=snake_case_    ) if isinstance(snake_case_   , snake_case_    ) else bos_token
        A_    :			List[Any]									=    AddedToken(snake_case_   , lstrip=snake_case_   , rstrip=snake_case_    ) if isinstance(snake_case_   , snake_case_    ) else eos_token
        A_    :			str									=    AddedToken(snake_case_   , lstrip=snake_case_   , rstrip=snake_case_    ) if isinstance(snake_case_   , snake_case_    ) else unk_token
        A_    :			Tuple									=    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_    :			str									=    add_bos_token

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

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        A_    :			List[Any]									=    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    ):

        """simple docstring"""

        return len(self.encoder    )

      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

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

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        if token in self.cache:
          return self.cache[token]
        A_    :			Any									=    tuple(snake_case_    )
        A_    :			Dict									=    get_pairs(snake_case_    )

        if not pairs:
          return token

        while True:
          A_    :			str									=    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_    :			List[str]									=    bigram
          A_    :			int									=    []
          A_    :			Union[str, Any]									=    0
          while i < len(snake_case_    ):
            try:
              A_    :			Optional[int]									=    word.index(snake_case_   , snake_case_    )
            except ValueError:
              new_word.extend(word[i:]    )
              break
            else:
              new_word.extend(word[i:j]    )
              A_    :			Tuple									=    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_    :			str									=    tuple(snake_case_    )
          A_    :			Dict									=    new_word
          if len(snake_case_    ) == 1:
            break
          else:
            A_    :			Tuple									=    get_pairs(snake_case_    )
        A_    :			Any									=    ' '.join(snake_case_    )
        A_    :			Any									=    word
        return word

      def    lowerCamelCase_     (	self   , snake_case_   , snake_case_=None    ):

        """simple docstring"""

        if self.add_bos_token:
          A_    :			Optional[Any]									=    [self.bos_token_id]
        else:
          A_    :			List[str]									=    []

        A_    :			Optional[int]									=    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_    ):

        """simple docstring"""

        A_    :			List[str]									=    []
        for token in re.findall(self.pat   , snake_case_    ):
          A_    :			str									=    ''.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_    ):

        """simple docstring"""

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

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        return self.decoder.get(snake_case_    )

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        A_    :			Union[str, Any]									=    ''.join(snake_case_    )
        A_    :			Tuple									=    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    ):

        """simple docstring"""

        if not os.path.isdir(snake_case_    ):
          logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""    )
          return
        A_    :			int									=    os.path.join(
            snake_case_   , (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )
        A_    :			Tuple									=    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_    :			Optional[int]									=    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_    :			Dict									=    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_    ):

        """simple docstring"""

        A_    :			Optional[int]									=    kwargs.pop('add_prefix_space'   , self.add_prefix_space    )
        if is_split_into_words or add_prefix_space:
          A_    :			Any									=    ' ' + text
        return (text, kwargs)

      def    lowerCamelCase_     (	self   , snake_case_   , snake_case_ = False   , snake_case_ = None   , snake_case_ = None   , **snake_case_   , ):

        """simple docstring"""

        A_    :			Dict									=    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_    :			List[str]									=    self.truncate(snake_case_   , snake_case_    )

        return decoded_text

      def    lowerCamelCase_     (	self   , snake_case_   , snake_case_    ):

        """simple docstring"""

        def find_re(snake_case_   , snake_case_   , snake_case_    ):
          A_    :			List[str]									=    pattern.search(snake_case_   , snake_case_    )
          return m.start() if m else -1

        A_    :			int									=    [re.compile(snake_case_   , re.MULTILINE    ) for pattern in truncate_before_pattern]

        A_    :			Optional[Any]									=    list(re.finditer('^print'   , snake_case_   , re.MULTILINE    )    )

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

        A_    :			Any									=    list(re.finditer('^def'   , snake_case_   , re.MULTILINE    )    )

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

        A_    :			List[str]									=    0

        A_    :			Tuple									=    [
            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






"""simple docstring"""




def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  A_    :			List[str]									=    (boundary[1] - boundary[0]) / steps
  A_    :			Optional[int]									=    boundary[0]
  A_    :			Optional[int]									=    boundary[1]
  A_    :			Any									=    make_points(_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase   )
  A_    :			Dict									=    0.0
  y += (h / 3.0) * f(_UpperCAmelCase   )
  A_    :			Optional[int]									=    2
  for i in x_i:
    y += (h / 3) * (4 - 2 * (cnt % 2)) * f(_UpperCAmelCase   )
    cnt += 1
  y += (h / 3.0) * f(_UpperCAmelCase   )
  return y





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  A_    :			Optional[Any]									=    a + h
  while x < (b - h):
    yield x
    A_    :			Dict									=    x + h





def 		UpperCAmelCase__						(	_UpperCAmelCase   ):  # enter your function here






  """simple docstring"""





  A_    :			List[Any]									=    (x - 0) * (x - 0)
  return y





def 		UpperCAmelCase__						(	):






  """simple docstring"""





  A_    :			int									=    0.0  # Lower bound of integration
  A_    :			int									=    1.0  # Upper bound of integration
  A_    :			Tuple									=    10.0  # define number of steps or resolution
  A_    :			List[str]									=    [a, b]  # define boundary of integration
  A_    :			Optional[Any]									=    method_a(_UpperCAmelCase					,   _UpperCAmelCase   )
  print(f"""y = {y}"""   )


if __name__ == "__main__":
   main()