




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        __lowerCAmelCase					(			__magic_name__     ,							unittest.TestCase					):

			"""simple docstring"""







			snake_case_  						=			CLIPTokenizer
			snake_case_  						=			CLIPTokenizerFast
			snake_case_  						=			True
			snake_case_  						=			{}
			snake_case_  						=			False


			def  lowercase_       ( self				)       -> int:



							'''simple docstring'''
							super().setUp()

							# fmt: off
							__lowerCamelCase									=       ['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
							__lowerCamelCase									=       dict(zip(lowerCamelCase__     ,		range(len(lowerCamelCase__				)				)				)				)
							__lowerCamelCase									=       ['#version: 0.2', 'l o', 'lo w</w>', 'e r</w>']
							__lowerCamelCase									=       {'unk_token': '<unk>'}

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


			def  lowercase_       ( self     ,		**lowerCamelCase__				)       -> Dict:



							'''simple docstring'''
							kwargs.update(self.special_tokens_map				)
							return CLIPTokenizer.from_pretrained(self.tmpdirname     ,		**lowerCamelCase__				)


			def  lowercase_       ( self     ,		**lowerCamelCase__				)       -> List[Any]:



							'''simple docstring'''
							kwargs.update(self.special_tokens_map				)
							return CLIPTokenizerFast.from_pretrained(self.tmpdirname     ,		**lowerCamelCase__				)


			def  lowercase_       ( self     ,		lowerCamelCase__				)       -> int:



							'''simple docstring'''
							__lowerCamelCase									=       'lower newer'
							__lowerCamelCase									=       'lower newer'
							return input_text, output_text


			def  lowercase_       ( self				)       -> Dict:



							'''simple docstring'''
							__lowerCamelCase									=       CLIPTokenizer(self.vocab_file     ,		self.merges_file     ,		**self.special_tokens_map				)
							__lowerCamelCase									=       'lower newer'
							__lowerCamelCase									=       ['lo', 'w', 'er</w>', 'n', 'e', 'w', 'er</w>']
							__lowerCamelCase									=       tokenizer.tokenize(lowerCamelCase__				)
							self.assertListEqual(lowerCamelCase__     ,		lowerCamelCase__				)

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


			@require_ftfy
			def  lowercase_       ( self				)       -> Union[str, Any]:



							'''simple docstring'''
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""				):
															__lowerCamelCase									=       self.tokenizer_class.from_pretrained(lowerCamelCase__     ,		**lowerCamelCase__				)
															__lowerCamelCase									=       self.rust_tokenizer_class.from_pretrained(lowerCamelCase__     ,		**lowerCamelCase__				)

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

															self.assertListEqual(lowerCamelCase__     ,		lowerCamelCase__				)

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

															self.assertListEqual(lowerCamelCase__     ,		lowerCamelCase__				)

															# Test that the tokenization is identical on unicode of space type
															__lowerCamelCase									=       [
															    '\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:
																			__lowerCamelCase									=       tokenizer_s.tokenize(lowerCamelCase__				)
																			__lowerCamelCase									=       tokenizer_r.tokenize(lowerCamelCase__				)

																			self.assertListEqual(lowerCamelCase__     ,		lowerCamelCase__				)

															# Test that the tokenization is identical on unicode of line break type
															__lowerCamelCase									=       [
															    '\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:
																			__lowerCamelCase									=       tokenizer_s.tokenize(lowerCamelCase__				)
																			__lowerCamelCase									=       tokenizer_r.tokenize(lowerCamelCase__				)

																			self.assertListEqual(lowerCamelCase__     ,		lowerCamelCase__				)


			def  lowercase_       ( self				)       -> Any:



							'''simple docstring'''
							# 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})"""				):
															__lowerCamelCase									=       'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
															__lowerCamelCase									=       f"""{text_of_1_token} {text_of_1_token}"""

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

															__lowerCamelCase									=       f""" {text}"""

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


			def  lowercase_       ( self				)       -> List[str]:



							'''simple docstring'''
							# 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(lowerCamelCase__				) 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  lowercase_       ( self				)       -> List[Any]:



							'''simple docstring'''
							super().test_tokenization_python_rust_equals()






			def  lowercase_       ( self				)       -> Optional[int]:



							'''simple docstring'''
							# CLIP always lower cases letters
							pass








def      lowerCamelCase_						(			UpperCamelCase__							: str )	->			bool:





				"""simple docstring"""


				__lowerCamelCase									=       0
				for ch in input_str:
								__lowerCamelCase									=       ord(UpperCamelCase__ )
								__lowerCamelCase									=       pow(2					,	UpperCamelCase__ )

								# If we already turned on bit for current character's unicode
								if bitmap >> ch_unicode & 1 == 1:
												return False
								bitmap |= ch_bit_index_on
				return True


if __name__ == "__main__":
					import doctest

					doctest.testmod()


