
import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin





class       _lowerCAmelCase   (      __a   , unittest.TestCase			):
				_lowercase     						=ProphetNetTokenizer
				_lowercase     						=False




				def 	__a		(   self	)							-> Tuple:
							super().setUp()

							lowerCAmelCase_         =      [
							    "[UNK]",
							    "[CLS]",
							    "[SEP]",
							    "[PAD]",
							    "[MASK]",
							    "want",
							    "##want",
							    "##ed",
							    "wa",
							    "un",
							    "runn",
							    "##ing",
							    ",",
							    "low",
							    "lowest",
							]
							lowerCAmelCase_         =      os.path.join(self.tmpdirname							,							VOCAB_FILES_NAMES["vocab_file"]	)
							with open(self.vocab_file							,							"w"							,							encoding="utf-8"	) as vocab_writer:
										vocab_writer.write("".join([x + "\n" for x in vocab_tokens]	)	)




				def 	__a		(   self							,							_UpperCamelCase	)							-> str:
							lowerCAmelCase_         =      "UNwant\u00E9d,running"
							lowerCAmelCase_         =      "unwanted, running"
							return input_text, output_text




				def 	__a		(   self	)							-> List[str]:
							lowerCAmelCase_         =      self.tokenizer_class(self.vocab_file	)

							lowerCAmelCase_         =      tokenizer.tokenize("UNwant\u00E9d,running"	)
							self.assertListEqual(UpperCAmelCase_							,							["un", "##want", "##ed", ",", "runn", "##ing"]	)
							self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_	)							,							[9, 6, 7, 12, 10, 11]	)




				def 	__a		(   self	)							-> Optional[int]:
							lowerCAmelCase_         =      BasicTokenizer()

							self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"	)							,							["ah", "\u535A", "\u63A8", "zz"]	)




				def 	__a		(   self	)							-> Tuple:
							lowerCAmelCase_         =      BasicTokenizer(do_lower_case=UpperCAmelCase_	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)							,							["hello", "!", "how", "are", "you", "?"]	)
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)							,							["hello"]	)




				def 	__a		(   self	)							-> str:
							lowerCAmelCase_         =      BasicTokenizer(do_lower_case=UpperCAmelCase_							,							strip_accents=UpperCAmelCase_	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)							,							["hällo", "!", "how", "are", "you", "?"]	)
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)							,							["h\u00E9llo"]	)




				def 	__a		(   self	)							-> Tuple:
							lowerCAmelCase_         =      BasicTokenizer(do_lower_case=UpperCAmelCase_							,							strip_accents=UpperCAmelCase_	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)							,							["hallo", "!", "how", "are", "you", "?"]	)
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)							,							["hello"]	)




				def 	__a		(   self	)							-> str:
							lowerCAmelCase_         =      BasicTokenizer(do_lower_case=UpperCAmelCase_	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)							,							["hallo", "!", "how", "are", "you", "?"]	)
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)							,							["hello"]	)




				def 	__a		(   self	)							-> int:
							lowerCAmelCase_         =      BasicTokenizer(do_lower_case=UpperCAmelCase_	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)							,							["HeLLo", "!", "how", "Are", "yoU", "?"]	)




				def 	__a		(   self	)							-> Dict:
							lowerCAmelCase_         =      BasicTokenizer(do_lower_case=UpperCAmelCase_							,							strip_accents=UpperCAmelCase_	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)							,							["HäLLo", "!", "how", "Are", "yoU", "?"]	)




				def 	__a		(   self	)							-> Dict:
							lowerCAmelCase_         =      BasicTokenizer(do_lower_case=UpperCAmelCase_							,							strip_accents=UpperCAmelCase_	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)							,							["HaLLo", "!", "how", "Are", "yoU", "?"]	)




				def 	__a		(   self	)							-> Tuple:
							lowerCAmelCase_         =      BasicTokenizer(do_lower_case=UpperCAmelCase_							,							never_split=["[UNK]"]	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"	)							,							["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]	)




				def 	__a		(   self	)							-> Optional[Any]:
							lowerCAmelCase_         =      ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

							lowerCAmelCase_         =      {}
							for i, token in enumerate(UpperCAmelCase_	):
										lowerCAmelCase_         =      i
							lowerCAmelCase_         =      WordpieceTokenizer(vocab=UpperCAmelCase_							,							unk_token="[UNK]"	)

							self.assertListEqual(tokenizer.tokenize(""	)							,							[]	)

							self.assertListEqual(tokenizer.tokenize("unwanted running"	)							,							["un", "##want", "##ed", "runn", "##ing"]	)

							self.assertListEqual(tokenizer.tokenize("unwantedX running"	)							,							["[UNK]", "runn", "##ing"]	)




				@require_torch
				def 	__a		(   self	)							-> List[Any]:
							lowerCAmelCase_         =      self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"	)

							lowerCAmelCase_         =      ["A long paragraph for summarization.", "Another paragraph for summarization."]
							lowerCAmelCase_         =      [1_037, 2_146, 20_423, 2_005, 7_680, 7_849, 3_989, 1_012, 102]
							lowerCAmelCase_         =      tokenizer(UpperCAmelCase_							,							padding=UpperCAmelCase_							,							return_tensors="pt"	)
							self.assertIsInstance(UpperCAmelCase_							,							UpperCAmelCase_	)
							lowerCAmelCase_         =      list(batch.input_ids.numpy()[0]	)
							self.assertListEqual(UpperCAmelCase_							,							UpperCAmelCase_	)

							self.assertEqual((2, 9)							,							batch.input_ids.shape	)
							self.assertEqual((2, 9)							,							batch.attention_mask.shape	)




				def 	__a		(   self	)							-> List[str]:
							self.assertTrue(_is_whitespace(" "	)	)
							self.assertTrue(_is_whitespace("\t"	)	)
							self.assertTrue(_is_whitespace("\r"	)	)
							self.assertTrue(_is_whitespace("\n"	)	)
							self.assertTrue(_is_whitespace("\u00A0"	)	)

							self.assertFalse(_is_whitespace("A"	)	)
							self.assertFalse(_is_whitespace("-"	)	)




				def 	__a		(   self	)							-> Optional[Any]:
							self.assertTrue(_is_control("\u0005"	)	)

							self.assertFalse(_is_control("A"	)	)
							self.assertFalse(_is_control(" "	)	)
							self.assertFalse(_is_control("\t"	)	)
							self.assertFalse(_is_control("\r"	)	)




				def 	__a		(   self	)							-> List[str]:
							self.assertTrue(_is_punctuation("-"	)	)
							self.assertTrue(_is_punctuation("$"	)	)
							self.assertTrue(_is_punctuation("`"	)	)
							self.assertTrue(_is_punctuation("."	)	)

							self.assertFalse(_is_punctuation("A"	)	)
							self.assertFalse(_is_punctuation(" "	)	)




				@slow
				def 	__a		(   self	)							-> List[Any]:
							lowerCAmelCase_         =      self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"	)

							lowerCAmelCase_         =      tokenizer.encode("sequence builders"							,							add_special_tokens=UpperCAmelCase_	)
							lowerCAmelCase_         =      tokenizer.encode("multi-sequence build"							,							add_special_tokens=UpperCAmelCase_	)

							lowerCAmelCase_         =      tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_	)
							lowerCAmelCase_         =      tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_							,							UpperCAmelCase_	)

							assert encoded_sentence == text + [102]
							assert encoded_pair == text + [102] + text_a + [102]








'''simple docstring'''





def 							lowerCamelCase	(					):





    '''simple docstring'''


    return [list(range(1_000 - i  ,-1_000 - i  ,-1							)							) for i in range(1_000							)]


SCREAMING_SNAKE_CASE__          =  generate_large_matrix()
SCREAMING_SNAKE_CASE__          =  (
    [[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 							lowerCamelCase	(					_snake_case	:    list[list[int]]							):





    '''simple docstring'''


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




def 							lowerCamelCase	(					_snake_case	:    list[int]							):





    '''simple docstring'''


    lowercase__									=    0
    lowercase__									=    len(_snake_case							) - 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:
        lowercase__									=    (left + right) // 2
        lowercase__									=    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:
            lowercase__									=    mid + 1
        else:
            lowercase__									=    mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
    return len(_snake_case							)




def 							lowerCamelCase	(					_snake_case	:    list[list[int]]							):





    '''simple docstring'''


    lowercase__									=    0
    lowercase__									=    len(grid[0]							)

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




def 							lowerCamelCase	(					_snake_case	:    list[list[int]]							):





    '''simple docstring'''


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




def 							lowerCamelCase	(					_snake_case	:    list[list[int]]							):





    '''simple docstring'''


    lowercase__									=    0
    for row in grid:
        for i, number in enumerate(_snake_case							):
            if number < 0:
                total += len(_snake_case							) - i
                break
    return total




def 							lowerCamelCase	(					):





    '''simple docstring'''


    from timeit import timeit

    print("Running benchmarks"							)
    lowercase__									=    (
        "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
    ):
        lowercase__									=    timeit(f'''{func}(grid=grid)'''  ,setup=_snake_case  ,number=500							)
        print(f'''{func}() took {time:0.4f} seconds'''							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 benchmark()




