



"""simple docstring"""







import os
import sys
import unittest


A		=						os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
A		=						os.path.join(git_repo_path, 'src', 'transformers')

A		=						'\n{0} = None\n'

A		=						'\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n'


A		=						'\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'

class       _a  ( unittest.TestCase):



			def 				__lowercase					(			self							:				Optional[int]		)							->					Tuple:
									snake_case   :			str						    = find_backend("    _import_structure[\"models.albert\"].append(\"AlbertTokenizerFast\")"		)
									self.assertIsNone(_lowercase		)

									snake_case   :			Tuple						    = find_backend("    if not is_tokenizers_available():"		)
									self.assertEqual(_lowercase   ,	"tokenizers"		)

									snake_case   :			Tuple						    = find_backend("    if not is_tensorflow_text_available():"		)
									self.assertEqual(_lowercase   ,	"tensorflow_text"		)

									snake_case   :			Any						    = find_backend("    if not (is_sentencepiece_available() and is_tokenizers_available()):"		)
									self.assertEqual(_lowercase   ,	"sentencepiece_and_tokenizers"		)

									snake_case   :			Optional[int]						    = find_backend(
									    "    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"		)
									self.assertEqual(_lowercase   ,	"sentencepiece_and_tensorflow_text"		)

									snake_case   :			Tuple						    = find_backend(
									    "    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):"		)
									self.assertEqual(_lowercase   ,	"sentencepiece_and_tokenizers_and_vision"		)



			def 				__lowercase					(			self							:				List[str]		)							->					List[str]:
									snake_case   :			Dict						    = read_init()
									# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
									self.assertIn("torch"   ,	_lowercase		)
									self.assertIn("tensorflow_text"   ,	_lowercase		)
									self.assertIn("sentencepiece_and_tokenizers"   ,	_lowercase		)

									# Likewise, we can't assert on the exact content of a key
									self.assertIn("BertModel"   ,	objects["torch"]		)
									self.assertIn("TFBertModel"   ,	objects["tf"]		)
									self.assertIn("FlaxBertModel"   ,	objects["flax"]		)
									self.assertIn("BertModel"   ,	objects["torch"]		)
									self.assertIn("TFBertTokenizer"   ,	objects["tensorflow_text"]		)
									self.assertIn("convert_slow_tokenizer"   ,	objects["sentencepiece_and_tokenizers"]		)



			def 				__lowercase					(			self							:				List[str]		)							->					List[Any]:
									snake_case   :			Tuple						    = create_dummy_object("CONSTANT"   ,	"'torch'"		)
									self.assertEqual(_lowercase   ,	"\nCONSTANT = None\n"		)

									snake_case   :			Dict						    = create_dummy_object("function"   ,	"'torch'"		)
									self.assertEqual(
									    _lowercase   ,	"\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n"		)

									snake_case   :			Optional[Any]						    = "\nclass FakeClass(metaclass=DummyObject):\n    _backends = 'torch'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, 'torch')\n"
									snake_case   :			Union[str, Any]						    = create_dummy_object("FakeClass"   ,	"'torch'"		)
									self.assertEqual(_lowercase   ,	_lowercase		)



			def 				__lowercase					(			self							:				List[str]		)							->					Dict:
									snake_case   :			int						    = "# This file is autogenerated by the command `make fix-copies`, do not edit.\nfrom ..utils import DummyObject, requires_backends\n\n\nCONSTANT = None\n\n\ndef function(*args, **kwargs):\n    requires_backends(function, [\"torch\"])\n\n\nclass FakeClass(metaclass=DummyObject):\n    _backends = [\"torch\"]\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, [\"torch\"])\n"
									snake_case   :			List[str]						    = create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}		)
									self.assertEqual(dummy_files["torch"]   ,	_lowercase		)








"""simple docstring"""







from random import randint, random

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							int     ,		lowerCamelCase_:							int     ,		lowerCamelCase_:							int     ,		lowerCamelCase_:							bool = False     ,		lowerCamelCase_:							bool = False     ,		lowerCamelCase_:							int = 5     ,		):
						"""simple docstring"""






						snake_case   :			str						    = [[-1] * number_of_cells]  # Create a highway without any car
						snake_case   :			str						    = 0
						snake_case   :			Any						    = max(lowerCamelCase_     ,		0 )
						while i < number_of_cells:
												snake_case   :			Optional[int]						    = (
												    randint(0     ,		lowerCamelCase_ ) if random_speed else initial_speed
												)  # Place the cars
												i += (
												    randint(1     ,		max_speed * 2 ) if random_frequency else frequency
												)  # Arbitrary number, may need tuning
						return highway

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							list     ,		lowerCamelCase_:							int ):
						"""simple docstring"""






						snake_case   :			Any						    = 0
						snake_case   :			int						    = highway_now[car_index + 1 :]
						for cell in range(len(lowerCamelCase_ ) ):  # May need a better name for this
												if cells[cell] != -1:  # If the cell is not empty then
																		return distance  # we have the distance we wanted
												distance += 1
						# Here if the car is near the end of the highway
						return distance + get_distance(lowerCamelCase_     ,		-1 )

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							list     ,		lowerCamelCase_:							float     ,		lowerCamelCase_:							int ):
						"""simple docstring"""






						snake_case   :			List[str]						    = len(lowerCamelCase_ )
						# Beforce calculations, the highway is empty
						snake_case   :			Dict						    = [-1] * number_of_cells

						for car_index in range(lowerCamelCase_ ):
												if highway_now[car_index] != -1:
																		# Add 1 to the current speed of the car and cap the speed
																		snake_case   :			Tuple						    = min(highway_now[car_index] + 1     ,		lowerCamelCase_ )
																		# Number of empty cell before the next car
																		snake_case   :			int						    = get_distance(lowerCamelCase_     ,		lowerCamelCase_ ) - 1
																		# We can't have the car causing an accident
																		snake_case   :			str						    = min(next_highway[car_index]     ,		lowerCamelCase_ )
																		if random() < probability:
																								# Randomly, a driver will slow down
																								snake_case   :			Optional[Any]						    = max(next_highway[car_index] - 1     ,		0 )
						return next_highway

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							list     ,		lowerCamelCase_:							int     ,		lowerCamelCase_:							float     ,		lowerCamelCase_:							int ):
						"""simple docstring"""






						snake_case   :			Optional[Any]						    = len(highway[0] )

						for i in range(lowerCamelCase_ ):
												snake_case   :			Union[str, Any]						    = update(highway[i]     ,		lowerCamelCase_     ,		lowerCamelCase_ )
												snake_case   :			Optional[int]						    = [-1] * number_of_cells

												for car_index in range(lowerCamelCase_ ):
																		snake_case   :			List[Any]						    = next_speeds_calculated[car_index]
																		if speed != -1:
																								# Change the position based on the speed (with % to create the loop)
																								snake_case   :			Optional[Any]						    = (car_index + speed) % number_of_cells
																								# Commit the change of position
																								snake_case   :			Tuple						    = speed
												highway.append(lowerCamelCase_ )

						return highway


if __name__ == "__main__":
			import doctest

			doctest.testmod()



