
"""simple docstring"""







import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 			A__	(     _lowerCamelCase	,					unittest.TestCase):
		A_						:	List[Any]           =     None
		A_						:	Optional[Any]           =     BloomTokenizerFast
		A_						:	List[Any]           =     BloomTokenizerFast
		A_						:	Tuple           =     True
		A_						:	Tuple           =     False
		A_						:	Optional[Any]           =     'tokenizer_file'
		A_						:	List[Any]           =     {'bos_token': '<s>', 'eos_token': '</s>', 'unk_token': '<unk>', 'pad_token': '<pad>'}

		def 							__lowerCamelCase							(				self			):
			super().setUp()
			__lowerCAmelCase      :						List[str]						      =				BloomTokenizerFast.from_pretrained('bigscience/tokenizer'			)
			tokenizer.save_pretrained(self.tmpdirname			)

		def 							__lowerCamelCase							(				self	,		**_SCREAMING_SNAKE_CASE			):
			kwargs.update(self.special_tokens_map			)
			return BloomTokenizerFast.from_pretrained(self.tmpdirname	,		**_SCREAMING_SNAKE_CASE			)

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						int						      =				self.get_rust_tokenizer()

			__lowerCAmelCase      :						List[Any]						      =				['The quick brown fox</s>', 'jumps over the lazy dog</s>']
			__lowerCAmelCase      :						str						      =				[[21_75, 2_37_14, 7_31_73, 14_42_52, 2], [77, 13_26_19, 34_78, 3_68, 10_95_86, 3_54_33, 2]]

			__lowerCAmelCase      :						Tuple						      =				tokenizer.batch_encode_plus(_SCREAMING_SNAKE_CASE			)['input_ids']
			self.assertListEqual(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)

			__lowerCAmelCase      :						Optional[int]						      =				tokenizer.batch_decode(_SCREAMING_SNAKE_CASE			)
			self.assertListEqual(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE=6			):
			for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
				with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"			):
					__lowerCAmelCase      :						Tuple						      =				self.rust_tokenizer_class.from_pretrained(_SCREAMING_SNAKE_CASE	,		**_SCREAMING_SNAKE_CASE			)
					# tokenizer_r.pad_token = None # Hotfixing padding = None
					# Simple input
					__lowerCAmelCase      :						List[str]						      =				'This is a simple input'
					__lowerCAmelCase      :						Optional[Any]						      =				['This is a simple input 1', 'This is a simple input 2']
					__lowerCAmelCase      :						Union[str, Any]						      =				('This is a simple input', 'This is a pair')
					__lowerCAmelCase      :						List[Any]						      =				[
					    ('This is a simple input 1', 'This is a simple input 2'),
					    ('This is a simple pair 1', 'This is a simple pair 2'),
					]

					# Simple input tests
					try:
						tokenizer_r.encode(_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE			)
						tokenizer_r.encode_plus(_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE			)

						tokenizer_r.batch_encode_plus(_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE			)
						tokenizer_r.encode(_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE			)
						tokenizer_r.batch_encode_plus(_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE			)
					except ValueError:
						self.fail('Bloom Tokenizer should be able to deal with padding'			)

					__lowerCAmelCase      :						Dict						      =				None  # Hotfixing padding = None
					self.assertRaises(_SCREAMING_SNAKE_CASE	,		tokenizer_r.encode	,		_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE	,		padding='max_length'			)

					# Simple input
					self.assertRaises(_SCREAMING_SNAKE_CASE	,		tokenizer_r.encode_plus	,		_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE	,		padding='max_length'			)

					# Simple input
					self.assertRaises(
					    _SCREAMING_SNAKE_CASE	,		tokenizer_r.batch_encode_plus	,		_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE	,		padding='max_length'	,		)

					# Pair input
					self.assertRaises(_SCREAMING_SNAKE_CASE	,		tokenizer_r.encode	,		_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE	,		padding='max_length'			)

					# Pair input
					self.assertRaises(_SCREAMING_SNAKE_CASE	,		tokenizer_r.encode_plus	,		_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE	,		padding='max_length'			)

					# Pair input
					self.assertRaises(
					    _SCREAMING_SNAKE_CASE	,		tokenizer_r.batch_encode_plus	,		_SCREAMING_SNAKE_CASE	,		max_length=_SCREAMING_SNAKE_CASE	,		padding='max_length'	,		)

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						str						      =				self.get_rust_tokenizer()
			__lowerCAmelCase      :						Dict						      =				load_dataset('xnli'	,		'all_languages'	,		split='test'	,		streaming=_SCREAMING_SNAKE_CASE			)

			__lowerCAmelCase      :						Any						      =				next(iter(_SCREAMING_SNAKE_CASE			)			)['premise']  # pick up one data
			__lowerCAmelCase      :						List[Any]						      =				list(sample_data.values()			)

			__lowerCAmelCase      :						Union[str, Any]						      =				list(map(tokenizer.encode	,		_SCREAMING_SNAKE_CASE			)			)
			__lowerCAmelCase      :						str						      =				[tokenizer.decode(_SCREAMING_SNAKE_CASE	,		clean_up_tokenization_spaces=_SCREAMING_SNAKE_CASE			) for x in output_tokens]
			self.assertListEqual(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)







		def 							__lowerCamelCase							(				self			):
			# The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
			# any sequence length constraints. This test of the parent class will fail since it relies on the
			# maximum sequence length of the positoonal embeddings.
			self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map			)	,		1			)
			self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()			)[0]			)	,		1			)

"""simple docstring"""







import argparse
import datetime
def    __lowerCAmelCase    (_UpperCamelCase		):
	__lowerCAmelCase      :						Optional[Any]						      =				{
	    '0': 'Sunday',
	    '1': 'Monday',
	    '2': 'Tuesday',
	    '3': 'Wednesday',
	    '4': 'Thursday',
	    '5': 'Friday',
	    '6': 'Saturday',
	}

	__lowerCAmelCase      :						Optional[Any]						      =				{0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 0}

	# Validate
	if not 0 < len(_UpperCamelCase		) < 11:
		raise ValueError('Must be 10 characters long'		)

	# Get month
	__lowerCAmelCase      :						int						      =				int(date_input[0] + date_input[1]		)
	# Validate
	if not 0 < m < 13:
		raise ValueError('Month must be between 1 - 12'		)

	__lowerCAmelCase      :						str						      =				date_input[2]
	# Validate
	if sep_a not in ["-", "/"]:
		raise ValueError('Date separator must be \'-\' or \'/\''		)

	# Get day
	__lowerCAmelCase      :						int						      =				int(date_input[3] + date_input[4]		)
	# Validate
	if not 0 < d < 32:
		raise ValueError('Date must be between 1 - 31'		)

	# Get second separator
	__lowerCAmelCase      :						str						      =				date_input[5]
	# Validate
	if sep_a not in ["-", "/"]:
		raise ValueError('Date separator must be \'-\' or \'/\''		)

	# Get year
	__lowerCAmelCase      :						int						      =				int(date_input[6] + date_input[7] + date_input[8] + date_input[9]		)
	# Arbitrary year range
	if not 45 < y < 8500:
		raise ValueError(
		    'Year out of range. There has to be some sort of limit...right?'		)

	# Get datetime obj for validation
	__lowerCAmelCase      :						Tuple						      =				datetime.date(int(_UpperCamelCase		)	,  int(_UpperCamelCase		)	,  int(_UpperCamelCase		)		)

	# Start math
	if m <= 2:
		__lowerCAmelCase      :						int						      =				y - 1
		__lowerCAmelCase      :						Tuple						      =				m + 12
	# maths var
	__lowerCAmelCase      :						int						      =				int(str(_UpperCamelCase		)[:2]		)
	__lowerCAmelCase      :						int						      =				int(str(_UpperCamelCase		)[2:]		)
	__lowerCAmelCase      :						int						      =				int(2.6 * m - 5.39		)
	__lowerCAmelCase      :						int						      =				int(c / 4		)
	__lowerCAmelCase      :						int						      =				int(k / 4		)
	__lowerCAmelCase      :						int						      =				int(d + k		)
	__lowerCAmelCase      :						int						      =				int(t + u + v + x		)
	__lowerCAmelCase      :						int						      =				int(z - (2 * c)		)
	__lowerCAmelCase      :						int						      =				round(w % 7		)
	# End math

	# Validate math
	if f != convert_datetime_days[dt_ck.weekday()]:
		raise AssertionError('The date was evaluated incorrectly. Contact developer.'		)

	# Response
	__lowerCAmelCase      :						str						      =				F"Your date {date_input}, is a {days[str(_UpperCamelCase		)]}!"
	return response


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							lowerCamelCase__        =		argparse.ArgumentParser(
							    description=(
							        """Find out what day of the week nearly any date is or was. Enter """
							        """date as a string in the mm-dd-yyyy or mm/dd/yyyy format"""
							    )
							)
							parser.add_argument(
							    """date_input""", type=str, help="""Date as a string (mm-dd-yyyy or mm/dd/yyyy)"""
							)
							lowerCamelCase__        =		parser.parse_args()
							zeller(args.date_input)