


import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
				from transformers.pipelines.conversational import Conversation


lowerCAmelCase							=						logging.get_logger(__name__)

lowerCAmelCase							=						{"""tokenizer_file""": """tokenizer.json"""}

lowerCAmelCase							=						{
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}




class        lowerCamelCase      (     _UpperCamelCase   ):
	_lowerCAmelCase    :		Optional[int]        =	VOCAB_FILES_NAMES
	_lowerCAmelCase    :		Dict        =	PRETRAINED_VOCAB_FILES_MAP
	_lowerCAmelCase    :		Tuple        =	['''input_ids''', '''attention_mask''']
	_lowerCAmelCase    :		List[str]        =	None


	def __init__(						self							,    lowercase__=None							,    lowercase__=None							,    lowercase__=None							,    lowercase__="<unk>"							,    lowercase__="<s>"							,    lowercase__="</s>"							,    lowercase__="<pad>"							,    lowercase__=False							,    lowercase__=False							,    **lowercase__							,    ):
							super().__init__(
							    lowercase__							,    lowercase__							,    tokenizer_file=lowercase__							,    unk_token=lowercase__							,    bos_token=lowercase__							,    eos_token=lowercase__							,    pad_token=lowercase__							,    add_prefix_space=lowercase__							,    clean_up_tokenization_spaces=lowercase__							,    **lowercase__							,    )
							__UpperCAmelCase :       int  						=  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
							if pre_tok_state.get('''add_prefix_space'''							,    lowercase__) != add_prefix_space:
													__UpperCAmelCase :       List[Any]  						=  getattr(lowercase__							,    pre_tok_state.pop('''type'''))
													__UpperCAmelCase :       str  						=  add_prefix_space
													__UpperCAmelCase :       Tuple  						=  pre_tok_class(**lowercase__)

							__UpperCAmelCase :       Optional[int]  						=  add_prefix_space


	def    A(						self							,    *lowercase__							,    **lowercase__):
							__UpperCAmelCase :       Optional[int]  						=  kwargs.get('''is_split_into_words'''							,    lowercase__)
							if not (self.add_prefix_space or not is_split_into_words):
													raise Exception(
													    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
													    ''' pretokenized inputs.''')

							return super()._batch_encode_plus(*lowercase__							,    **lowercase__)


	def    A(						self							,    *lowercase__							,    **lowercase__):
							__UpperCAmelCase :       Union[str, Any]  						=  kwargs.get('''is_split_into_words'''							,    lowercase__)

							if not (self.add_prefix_space or not is_split_into_words):
													raise Exception(
													    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
													    ''' pretokenized inputs.''')

							return super()._encode_plus(*lowercase__							,    **lowercase__)


	def    A(						self							,    lowercase__							,    lowercase__ = None):
							__UpperCAmelCase :       Union[str, Any]  						=  self._tokenizer.model.save(lowercase__							,    name=lowercase__)
							return tuple(lowercase__)


	def    A(						self							,    lowercase__):
							__UpperCAmelCase :       Union[str, Any]  						=  []
							for is_user, text in conversation.iter_texts():
													input_ids.extend(self.encode(lowercase__							,    add_special_tokens=lowercase__) + [self.eos_token_id])

							if len(lowercase__) > self.model_max_length:
													__UpperCAmelCase :       List[Any]  						=  input_ids[-self.model_max_length :]
							return input_ids





def 						__SCREAMING_SNAKE_CASE       (					)		->    list[list[int]]:




						'''simple docstring'''







						return [list(range(1000 - i			,					-1000 - i			,					-1			)			) for i in range(1000			)]


lowerCAmelCase							=						generate_large_matrix()
lowerCAmelCase							=						(
    [[4, 3, 2, -1], [3, 2, 1, -1], [1, 1, -1, -2], [-1, -1, -2, -3]],
    [[3, 2], [1, 0]],
    [[7, 7, 6]],
    [[7, 7, 6], [-1, -2, -3]],
    grid,
)




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    None:




						'''simple docstring'''







						assert all(row == sorted(lowercase_			,					reverse=lowercase_			) for row in grid			)
						assert all(list(lowercase_			) == sorted(lowercase_			,					reverse=lowercase_			) for col in zip(*lowercase_			)			)




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    int:




						'''simple docstring'''







						__UpperCAmelCase :       Dict  						=  0
						__UpperCAmelCase :       List[Any]  						=  len(lowercase_			) - 1

						# Edge cases such as no values or all numbers are negative.
						if not array or array[0] < 0:
												return 0

						while right + 1 > left:
												__UpperCAmelCase :       List[Any]  						=  (left + right) // 2
												__UpperCAmelCase :       Dict  						=  array[mid]

												# Num must be negative and the index must be greater than or equal to 0.
												if num < 0 and array[mid - 1] >= 0:
																		return mid

												if num >= 0:
																		__UpperCAmelCase :       Dict  						=  mid + 1
												else:
																		__UpperCAmelCase :       Optional[Any]  						=  mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
						return len(lowercase_			)




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    int:




						'''simple docstring'''







						__UpperCAmelCase :       int  						=  0
						__UpperCAmelCase :       Dict  						=  len(grid[0]			)

						for i in range(len(lowercase_			)			):
												__UpperCAmelCase :       Any  						=  find_negative_index(grid[i][:bound]			)
												total += bound
						return (len(lowercase_			) * len(grid[0]			)) - total




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    int:




						'''simple docstring'''







						return len([number for row in grid for number in row if number < 0]			)




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    int:




						'''simple docstring'''







						__UpperCAmelCase :       List[Any]  						=  0
						for row in grid:
												for i, number in enumerate(lowercase_			):
																		if number < 0:
																								total += len(lowercase_			) - i
																								break
						return total




def 						__SCREAMING_SNAKE_CASE       (					)		->    None:




						'''simple docstring'''







						from timeit import timeit

						print('''Running benchmarks'''			)
						__UpperCAmelCase :       Tuple  						=  (
						    '''from __main__ import count_negatives_binary_search, '''
						    '''count_negatives_brute_force, count_negatives_brute_force_with_break, grid'''
						)
						for func in (
						    "count_negatives_binary_search",  # took 0.7727 seconds
						    "count_negatives_brute_force_with_break",  # took 4.6505 seconds
						    "count_negatives_brute_force",  # took 12.8160 seconds
						):
												__UpperCAmelCase :       Union[str, Any]  						=  timeit(f"{func}(grid=grid)"			,					setup=lowercase_			,					number=500			)
												print(f"{func}() took {time:0.4f} seconds"			)


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				benchmark()

