

'''simple docstring'''

import json
import os
import unittest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class    snake_case     (      lowercase_,						unittest.TestCase		):






				"""simple docstring"""
				_a    	=     CLIPTokenizer
				_a    	=     CLIPTokenizerFast
				_a    	=     True
				_a    	=     {}
				_a    	=     False



				def   a__					(    self       )     ->							Union[str, Any]:
											super().setUp()

											# fmt: off
											SCREAMING_SNAKE_CASE_				=				['l', 'o', 'w', 'e', 'r', 's', 't', 'i', 'd', 'n', 'lo', 'l</w>', 'w</w>', 'r</w>', 't</w>', 'low</w>', 'er</w>', 'lowest</w>', 'newer</w>', 'wider', '<unk>', '<|startoftext|>', '<|endoftext|>']
											# fmt: on
											SCREAMING_SNAKE_CASE_				=				dict(zip(_lowercase,     range(len(_lowercase       )       )       )       )
											SCREAMING_SNAKE_CASE_				=				['#version: 0.2', 'l o', 'lo w</w>', 'e r</w>']
											SCREAMING_SNAKE_CASE_				=				{'unk_token': '<unk>'}

											SCREAMING_SNAKE_CASE_				=				os.path.join(self.tmpdirname,     VOCAB_FILES_NAMES['vocab_file']       )
											SCREAMING_SNAKE_CASE_				=				os.path.join(self.tmpdirname,     VOCAB_FILES_NAMES['merges_file']       )
											with open(self.vocab_file,     'w',     encoding='utf-8'       ) as fp:
																		fp.write(json.dumps(_lowercase       ) + '\n'       )
											with open(self.merges_file,     'w',     encoding='utf-8'       ) as fp:
																		fp.write('\n'.join(_lowercase       )       )



				def   a__					(    self,     **_lowercase       )     ->							List[str]:
											kwargs.update(self.special_tokens_map       )
											return CLIPTokenizer.from_pretrained(self.tmpdirname,     **_lowercase       )



				def   a__					(    self,     **_lowercase       )     ->							str:
											kwargs.update(self.special_tokens_map       )
											return CLIPTokenizerFast.from_pretrained(self.tmpdirname,     **_lowercase       )



				def   a__					(    self,     _lowercase       )     ->							List[str]:
											SCREAMING_SNAKE_CASE_				=				'lower newer'
											SCREAMING_SNAKE_CASE_				=				'lower newer'
											return input_text, output_text



				def   a__					(    self       )     ->							List[str]:
											SCREAMING_SNAKE_CASE_				=				CLIPTokenizer(self.vocab_file,     self.merges_file,     **self.special_tokens_map       )
											SCREAMING_SNAKE_CASE_				=				'lower newer'
											SCREAMING_SNAKE_CASE_				=				['lo', 'w', 'er</w>', 'n', 'e', 'w', 'er</w>']
											SCREAMING_SNAKE_CASE_				=				tokenizer.tokenize(_lowercase       )
											self.assertListEqual(_lowercase,     _lowercase       )

											SCREAMING_SNAKE_CASE_				=				tokens + [tokenizer.unk_token]
											SCREAMING_SNAKE_CASE_				=				[10, 2, 16, 9, 3, 2, 16, 20]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase       ),     _lowercase       )



				@require_ftfy
				def   a__					(    self       )     ->							Dict:
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""       ):
																									SCREAMING_SNAKE_CASE_				=				self.tokenizer_class.from_pretrained(_lowercase,     **_lowercase       )
																									SCREAMING_SNAKE_CASE_				=				self.rust_tokenizer_class.from_pretrained(_lowercase,     **_lowercase       )

																									SCREAMING_SNAKE_CASE_				=				'A\n\'ll 11p223RF☆ho!!to?\'d\'d\'\'d of a cat to-$\'\'d.'
																									SCREAMING_SNAKE_CASE_				=				tokenizer_s.tokenize(_lowercase       )
																									SCREAMING_SNAKE_CASE_				=				tokenizer_r.tokenize(_lowercase       )

																									self.assertListEqual(_lowercase,     _lowercase       )

																									# Test that the tokenization is identical on an example containing a character (Latin Small Letter A
																									# with Tilde) encoded in 2 different ways
																									SCREAMING_SNAKE_CASE_				=				'xa\u0303y' + ' ' + 'x\xe3y'
																									SCREAMING_SNAKE_CASE_				=				tokenizer_s.tokenize(_lowercase       )
																									SCREAMING_SNAKE_CASE_				=				tokenizer_r.tokenize(_lowercase       )

																									self.assertListEqual(_lowercase,     _lowercase       )

																									# Test that the tokenization is identical on unicode of space type
																									SCREAMING_SNAKE_CASE_				=				[
																									    '\u0009',  # (horizontal tab, '\t')
																									    '\u000B',  # (vertical tab)
																									    '\u000C',  # (form feed)
																									    '\u0020',  # (space, ' ')
																									    '\u200E',  # (left-to-right mark):w
																									    '\u200F',  # (right-to-left mark)
																									]
																									for unicode_seq in spaces_unicodes:
																																SCREAMING_SNAKE_CASE_				=				tokenizer_s.tokenize(_lowercase       )
																																SCREAMING_SNAKE_CASE_				=				tokenizer_r.tokenize(_lowercase       )

																																self.assertListEqual(_lowercase,     _lowercase       )

																									# Test that the tokenization is identical on unicode of line break type
																									SCREAMING_SNAKE_CASE_				=				[
																									    '\u000A',  # (line feed, '\n')
																									    '\r\n',  # (carriage return and line feed, '\r\n')
																									    '\u000D',  # (carriage return, '\r')
																									    '\r',  # (carriage return, '\r')
																									    '\u000D',  # (carriage return, '\r')
																									    '\u2028',  # (line separator)
																									    '\u2029',  # (paragraph separator)
																									    # "\u0085", # (next line)
																									]

																									# The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
																									# it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
																									# space (and thus into an empty list).

																									for unicode_seq in line_break_unicodes:
																																SCREAMING_SNAKE_CASE_				=				tokenizer_s.tokenize(_lowercase       )
																																SCREAMING_SNAKE_CASE_				=				tokenizer_r.tokenize(_lowercase       )

																																self.assertListEqual(_lowercase,     _lowercase       )



				def   a__					(    self       )     ->							str:
											# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space`
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""       ):
																									SCREAMING_SNAKE_CASE_				=				'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
																									SCREAMING_SNAKE_CASE_				=				f"""{text_of_1_token} {text_of_1_token}"""

																									SCREAMING_SNAKE_CASE_				=				self.rust_tokenizer_class.from_pretrained(
																									    _lowercase,     use_fast=_lowercase,     )
																									SCREAMING_SNAKE_CASE_				=				tokenizer_r(_lowercase,     return_offsets_mapping=_lowercase,     add_special_tokens=_lowercase       )
																									self.assertEqual(encoding.offset_mapping[0],     (0, len(_lowercase       ))       )
																									self.assertEqual(
																									    encoding.offset_mapping[1],     (len(_lowercase       ) + 1, len(_lowercase       ) + 1 + len(_lowercase       )),     )

																									SCREAMING_SNAKE_CASE_				=				f""" {text}"""

																									SCREAMING_SNAKE_CASE_				=				self.rust_tokenizer_class.from_pretrained(
																									    _lowercase,     use_fast=_lowercase,     )
																									SCREAMING_SNAKE_CASE_				=				tokenizer_r(_lowercase,     return_offsets_mapping=_lowercase,     add_special_tokens=_lowercase       )
																									self.assertEqual(encoding.offset_mapping[0],     (1, 1 + len(_lowercase       ))       )
																									self.assertEqual(
																									    encoding.offset_mapping[1],     (1 + len(_lowercase       ) + 1, 1 + len(_lowercase       ) + 1 + len(_lowercase       )),     )



				def   a__					(    self       )     ->							str:
											# Test related to the breaking change introduced in transformers v4.17.0
											# We need to check that an error in raised when the user try to load a previous version of the tokenizer.
											with self.assertRaises(_lowercase       ) as context:
																		self.rust_tokenizer_class.from_pretrained('robot-test/old-clip-tokenizer'       )

											self.assertTrue(
											    context.exception.args[0].startswith(
											        'The `backend_tokenizer` provided does not match the expected format.'       )       )



				@require_ftfy
				def   a__					(    self       )     ->							int:
											super().test_tokenization_python_rust_equals()





				def   a__					(    self       )     ->							Optional[Any]:
											# CLIP always lower cases letters
											pass








'''simple docstring'''

def 							_UpperCamelCase				(   lowerCAmelCase__:					int = 1000   )      -> int:
							SCREAMING_SNAKE_CASE_				=				2**power
							SCREAMING_SNAKE_CASE_				=				str(lowerCAmelCase__   )
							SCREAMING_SNAKE_CASE_				=				list(lowerCAmelCase__   )
							SCREAMING_SNAKE_CASE_				=				0

							for i in list_num:
														sum_of_num += int(lowerCAmelCase__   )

							return sum_of_num


if __name__ == "__main__":
							SCREAMING_SNAKE_CASE							:				Tuple     	=			int(input("Enter the power of 2: ").strip())
							print("2 ^ ", power, " = ", 2**power)
							SCREAMING_SNAKE_CASE							:				str     	=			solution(power)
							print("Sum of the digits is: ", result)





