
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


_SCREAMING_SNAKE_CASE     :   List[Any]							 =      logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE     :   int							 =      {
    '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',
    },
}

_SCREAMING_SNAKE_CASE     :   str							 =      {
    'Salesforce/codegen-350M-mono': 2_0_4_8,
}

@lru_cache()
def 					SCREAMING_SNAKE_CASE  (   )			->							int:

				"""simple docstring"""







				A__	:						Dict								=				(
				    list(range(ord('''!'''							)				,    ord('''~'''							) + 1							)							) + list(range(ord('''¡'''							)				,    ord('''¬'''							) + 1							)							) + list(range(ord('''®'''							)				,    ord('''ÿ'''							) + 1							)							)
				)
				A__	:						Union[str, Any]								=				bs[:]
				A__	:						str								=				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 					SCREAMING_SNAKE_CASE  (   __UpperCamelCase			:    List[Any]							)			->							Union[str, Any]:

				"""simple docstring"""







				A__	:						Dict								=				set()
				A__	:						str								=				word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)							)
								A__	:						int								=				char
				return pairs







class 			UpperCamelCase__		(     SCREAMING_SNAKE_CASE_ ):







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





	def __init__(      self					,							UpperCamelCase__					,							UpperCamelCase__					,							UpperCamelCase__="replace"					,							UpperCamelCase__="<|endoftext|>"					,							UpperCamelCase__="<|endoftext|>"					,							UpperCamelCase__="<|endoftext|>"					,							UpperCamelCase__=None					,							UpperCamelCase__=False					,							UpperCamelCase__=False					,							**UpperCamelCase__					,							):
					A__	:						str								=				AddedToken(UpperCamelCase__					,							lstrip=UpperCamelCase__					,							rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,							UpperCamelCase__		) else bos_token
					A__	:						List[Any]								=				AddedToken(UpperCamelCase__					,							lstrip=UpperCamelCase__					,							rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,							UpperCamelCase__		) else eos_token
					A__	:						Any								=				AddedToken(UpperCamelCase__					,							lstrip=UpperCamelCase__					,							rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,							UpperCamelCase__		) else unk_token
					A__	:						Dict								=				AddedToken(UpperCamelCase__					,							lstrip=UpperCamelCase__					,							rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,							UpperCamelCase__		) else pad_token
					super().__init__(
					    errors=UpperCamelCase__					,							unk_token=UpperCamelCase__					,							bos_token=UpperCamelCase__					,							eos_token=UpperCamelCase__					,							pad_token=UpperCamelCase__					,							add_prefix_space=UpperCamelCase__					,							add_bos_token=UpperCamelCase__					,							**UpperCamelCase__					,							)
					A__	:						int								=				add_bos_token

					with open(UpperCamelCase__					,							encoding='''utf-8'''		) as vocab_handle:
									A__	:						Tuple								=				json.load(UpperCamelCase__		)
					A__	:						Union[str, Any]								=				{v: k for k, v in self.encoder.items()}
					A__	:						List[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(UpperCamelCase__					,							encoding='''utf-8'''		) as merges_handle:
									A__	:						List[str]								=				merges_handle.read().split('''\n'''		)[1:-1]
					A__	:						Any								=				[tuple(merge.split()		) for merge in bpe_merges]
					A__	:						Any								=				dict(zip(UpperCamelCase__					,							range(len(UpperCamelCase__		)		)		)		)
					A__	:						int								=				{}
					A__	:						Dict								=				add_prefix_space

					# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
					A__	:						List[str]								=				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		):
					return len(self.encoder		)





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





	def 	__snake_case					(      self					,							UpperCamelCase__		):
					if token in self.cache:
									return self.cache[token]
					A__	:						Union[str, Any]								=				tuple(UpperCamelCase__		)
					A__	:						List[str]								=				get_pairs(UpperCamelCase__		)

					if not pairs:
									return token

					while True:
									A__	:						Optional[int]								=				min(UpperCamelCase__					,							key=lambda UpperCamelCase__		: self.bpe_ranks.get(UpperCamelCase__					,							float('''inf'''		)		)		)
									if bigram not in self.bpe_ranks:
													break
									A__							,				A__	:						str								=				bigram
									A__	:						Union[str, Any]								=				[]
									A__	:						List[str]								=				0
									while i < len(UpperCamelCase__		):
													try:
																	A__	:						List[str]								=				word.index(UpperCamelCase__					,							UpperCamelCase__		)
													except ValueError:
																	new_word.extend(word[i:]		)
																	break
													else:
																	new_word.extend(word[i:j]		)
																	A__	:						Optional[int]								=				j

													if word[i] == first and i < len(UpperCamelCase__		) - 1 and word[i + 1] == second:
																	new_word.append(first + second		)
																	i += 2
													else:
																	new_word.append(word[i]		)
																	i += 1
									A__	:						Union[str, Any]								=				tuple(UpperCamelCase__		)
									A__	:						Optional[Any]								=				new_word
									if len(UpperCamelCase__		) == 1:
													break
									else:
													A__	:						int								=				get_pairs(UpperCamelCase__		)
					A__	:						Tuple								=				''' '''.join(UpperCamelCase__		)
					A__	:						Optional[int]								=				word
					return word





	def 	__snake_case					(      self					,							UpperCamelCase__					,							UpperCamelCase__=None		):
					if self.add_bos_token:
									A__	:						Any								=				[self.bos_token_id]
					else:
									A__	:						List[str]								=				[]

					A__	:						str								=				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					,							UpperCamelCase__		):
					A__	:						List[Any]								=				[]
					for token in re.findall(self.pat					,							UpperCamelCase__		):
									A__	:						List[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(UpperCamelCase__		).split(''' '''		)		)
					return bpe_tokens





	def 	__snake_case					(      self					,							UpperCamelCase__		):
					return self.encoder.get(UpperCamelCase__					,							self.encoder.get(self.unk_token		)		)





	def 	__snake_case					(      self					,							UpperCamelCase__		):
					return self.decoder.get(UpperCamelCase__		)





	def 	__snake_case					(      self					,							UpperCamelCase__		):
					A__	:						Dict								=				''''''.join(UpperCamelCase__		)
					A__	:						Union[str, Any]								=				bytearray([self.byte_decoder[c] for c in text]		).decode('''utf-8'''					,							errors=self.errors		)
					return text





	def 	__snake_case					(      self					,							UpperCamelCase__					,							UpperCamelCase__ = None		):
					if not os.path.isdir(UpperCamelCase__		):
									logger.error(F"Vocabulary path ({save_directory}) should be a directory"		)
									return
					A__	:						Union[str, Any]								=				os.path.join(
					    UpperCamelCase__					,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
					A__	:						Optional[Any]								=				os.path.join(
					    UpperCamelCase__					,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']		)

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

					A__	:						Union[str, Any]								=				0
					with open(UpperCamelCase__					,							'''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 UpperCamelCase__		: 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__	:						Union[str, Any]								=				token_index
													writer.write(''' '''.join(UpperCamelCase__		) + '''\n'''		)
													index += 1

					return vocab_file, merge_file





	def 	__snake_case					(      self					,							UpperCamelCase__					,							UpperCamelCase__=False					,							**UpperCamelCase__		):
					A__	:						str								=				kwargs.pop('''add_prefix_space'''					,							self.add_prefix_space		)
					if is_split_into_words or add_prefix_space:
									A__	:						Tuple								=				''' ''' + text
					return (text, kwargs)





	def 	__snake_case					(      self					,							UpperCamelCase__					,							UpperCamelCase__ = False					,							UpperCamelCase__ = None					,							UpperCamelCase__ = None					,							**UpperCamelCase__					,							):
					A__	:						int								=				super()._decode(
					    token_ids=UpperCamelCase__					,							skip_special_tokens=UpperCamelCase__					,							clean_up_tokenization_spaces=UpperCamelCase__					,							**UpperCamelCase__					,							)

					if truncate_before_pattern is not None and len(UpperCamelCase__		) > 0:
									A__	:						Union[str, Any]								=				self.truncate(UpperCamelCase__					,							UpperCamelCase__		)

					return decoded_text





	def 	__snake_case					(      self					,							UpperCamelCase__					,							UpperCamelCase__		):
					def find_re(UpperCamelCase__					,							UpperCamelCase__					,							UpperCamelCase__		):
									A__	:						int								=				pattern.search(UpperCamelCase__					,							UpperCamelCase__		)
									return m.start() if m else -1

					A__	:						Optional[Any]								=				[re.compile(UpperCamelCase__					,							re.MULTILINE		) for pattern in truncate_before_pattern]

					A__	:						int								=				list(re.finditer('''^print'''					,							UpperCamelCase__					,							re.MULTILINE		)		)

					if len(UpperCamelCase__		) > 1:
									A__	:						List[str]								=				completion[: prints[1].start()]

					A__	:						Union[str, Any]								=				list(re.finditer('''^def'''					,							UpperCamelCase__					,							re.MULTILINE		)		)

					if len(UpperCamelCase__		) > 1:
									A__	:						Any								=				completion[: defs[1].start()]

					A__	:						str								=				0

					A__	:						List[str]								=				[
					    pos for pos in [find_re(UpperCamelCase__					,							UpperCamelCase__					,							UpperCamelCase__		) for terminal in terminals] if pos != -1
					]

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

def 					SCREAMING_SNAKE_CASE  (   __UpperCamelCase			:    Dict				,    __UpperCamelCase			:    Dict							)			->							List[Any]:

				"""simple docstring"""







				if len(str(__UpperCamelCase							)							) == 1 or len(str(__UpperCamelCase							)							) == 1:
								return a * b

				A__	:						List[str]								=				max(len(str(__UpperCamelCase							)							)				,    len(str(__UpperCamelCase							)							)							)
				A__	:						Any								=				ma // 2

				A__							,				A__	:						Union[str, Any]								=				divmod(__UpperCamelCase				,    10**ma							)
				A__							,				A__	:						Tuple								=				divmod(__UpperCamelCase				,    10**ma							)

				A__	:						Optional[int]								=				karatsuba(__UpperCamelCase				,    __UpperCamelCase							)
				A__	:						Tuple								=				karatsuba((aa + aa)				,    (ba + ba)							)
				A__	:						Optional[int]								=				karatsuba(__UpperCamelCase				,    __UpperCamelCase							)

				return (z * 10 ** (2 * ma)) + ((y - z - x) * 10 ** (ma)) + (x)

def 					SCREAMING_SNAKE_CASE  (   )			->							Dict:

				"""simple docstring"""







				print(karatsuba(1_54_63				,    2_34_89							)							)


if __name__ == "__main__":
					main()