import math
from timeit import timeit


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							_lowercase				=	0
							_lowercase				=	abs(_A					)
							while True:
														_lowercase				=	n // 10
														digits += 1
														if n == 0:
																					break
							return digits


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							return 1 if n == 0 else math.floor(math.log(abs(_A					) ,10					) + 1					)


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							return len(str(abs(_A					)					)					)


def 					__lowerCAmelCase			(  ):



							"""simple docstring"""


							from collections.abc import Callable

							def benchmark_a_function(_A ,_A					) -> None:
														_lowercase				=	f'''{func.__name__}({value})'''
														_lowercase				=	timeit(f'''__main__.{call}''' ,setup="""import __main__"""					)
														print(f'''{call}: {func(_A					)} -- {timing} seconds'''					)

							for value in (262_144, 1_125_899_906_842_624, 1_267_650_600_228_229_401_496_703_205_376):
														for func in (num_digits, num_digits_fast, num_digits_faster):
																					benchmark_a_function(_A ,_A					)
														print()


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				benchmark()



import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
				from PIL import Image

				from transformers import AutoProcessor, BertTokenizer, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast


@require_vision
class _lowercase					(       unittest.TestCase						):





							"""simple docstring"""




							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	tempfile.mkdtemp()

														_lowercase				=	CLIPImageProcessor()
														_lowercase				=	BertTokenizer.from_pretrained(
														    """hf-internal-testing/tiny-random-BertModel"""     ,   model_input_names=["""input_ids""", """attention_mask"""]  )

														_lowercase				=	GitProcessor(UpperCAmelCase     ,   UpperCAmelCase  )

														processor.save_pretrained(self.tmpdirname  )



							def     _UpperCAmelCase       (    self     ,   **UpperCAmelCase  ):







														'''simple docstring'''






														return AutoProcessor.from_pretrained(self.tmpdirname     ,   **UpperCAmelCase  ).tokenizer



							def     _UpperCAmelCase       (    self     ,   **UpperCAmelCase  ):







														'''simple docstring'''






														return AutoProcessor.from_pretrained(self.tmpdirname     ,   **UpperCAmelCase  ).image_processor



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														shutil.rmtree(self.tmpdirname  )



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	[np.random.randint(255     ,   size=(3, 30, 400)     ,   dtype=np.uinta  )]

														_lowercase				=	[Image.fromarray(np.moveaxis(UpperCAmelCase     ,   0     ,   -1  )  ) for x in image_inputs]

														return image_inputs



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	GitProcessor(tokenizer=self.get_tokenizer()     ,   image_processor=self.get_image_processor()  )
														processor.save_pretrained(self.tmpdirname  )

														_lowercase				=	self.get_tokenizer(bos_token="""(BOS)"""     ,   eos_token="""(EOS)"""  )
														_lowercase				=	self.get_image_processor(do_normalize=UpperCAmelCase     ,   padding_value=1.0  )

														_lowercase				=	GitProcessor.from_pretrained(
														    self.tmpdirname     ,   bos_token="""(BOS)"""     ,   eos_token="""(EOS)"""     ,   do_normalize=UpperCAmelCase     ,   padding_value=1.0  )

														self.assertEqual(processor.tokenizer.get_vocab()     ,   tokenizer_add_kwargs.get_vocab()  )
														self.assertIsInstance(processor.tokenizer     ,   UpperCAmelCase  )

														self.assertEqual(processor.image_processor.to_json_string()     ,   image_processor_add_kwargs.to_json_string()  )
														self.assertIsInstance(processor.image_processor     ,   UpperCAmelCase  )



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	self.get_image_processor()
														_lowercase				=	self.get_tokenizer()

														_lowercase				=	GitProcessor(tokenizer=UpperCAmelCase     ,   image_processor=UpperCAmelCase  )

														_lowercase				=	self.prepare_image_inputs()

														_lowercase				=	image_processor(UpperCAmelCase     ,   return_tensors="""np"""  )
														_lowercase				=	processor(images=UpperCAmelCase     ,   return_tensors="""np"""  )

														for key in input_feat_extract.keys():
																					self.assertAlmostEqual(input_feat_extract[key].sum()     ,   input_processor[key].sum()     ,   delta=1e-2  )



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	self.get_image_processor()
														_lowercase				=	self.get_tokenizer()

														_lowercase				=	GitProcessor(tokenizer=UpperCAmelCase     ,   image_processor=UpperCAmelCase  )

														_lowercase				=	"""lower newer"""

														_lowercase				=	processor(text=UpperCAmelCase  )

														_lowercase				=	tokenizer(UpperCAmelCase     ,   return_token_type_ids=UpperCAmelCase  )

														for key in encoded_tok.keys():
																					self.assertListEqual(encoded_tok[key]     ,   encoded_processor[key]  )



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	self.get_image_processor()
														_lowercase				=	self.get_tokenizer()

														_lowercase				=	GitProcessor(tokenizer=UpperCAmelCase     ,   image_processor=UpperCAmelCase  )

														_lowercase				=	"""lower newer"""
														_lowercase				=	self.prepare_image_inputs()

														_lowercase				=	processor(text=UpperCAmelCase     ,   images=UpperCAmelCase  )

														self.assertListEqual(list(inputs.keys()  )     ,   ["""input_ids""", """attention_mask""", """pixel_values"""]  )

														# test if it raises when no input is passed
														with pytest.raises(UpperCAmelCase  ):
																					processor()



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	self.get_image_processor()
														_lowercase				=	self.get_tokenizer()

														_lowercase				=	GitProcessor(tokenizer=UpperCAmelCase     ,   image_processor=UpperCAmelCase  )

														_lowercase				=	[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

														_lowercase				=	processor.batch_decode(UpperCAmelCase  )
														_lowercase				=	tokenizer.batch_decode(UpperCAmelCase  )

														self.assertListEqual(UpperCAmelCase     ,   UpperCAmelCase  )



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	self.get_image_processor()
														_lowercase				=	self.get_tokenizer()

														_lowercase				=	GitProcessor(tokenizer=UpperCAmelCase     ,   image_processor=UpperCAmelCase  )

														_lowercase				=	"""lower newer"""
														_lowercase				=	self.prepare_image_inputs()

														_lowercase				=	processor(text=UpperCAmelCase     ,   images=UpperCAmelCase  )

														# For now the processor supports only ['input_ids', 'attention_mask', 'pixel_values']
														self.assertListEqual(list(inputs.keys()  )     ,   ["""input_ids""", """attention_mask""", """pixel_values"""]  )


