




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 			a__    (					UpperCAmelCase__ ,				unittest.TestCase      ):
						_a							:    int					=    CLIPTokenizer
						_a							:    Dict					=    CLIPTokenizerFast
						_a							:    List[str]					=    True
						_a							:    Optional[Any]					=    {}
						_a							:    str					=    False






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""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(_A		,			range(len(_A			)			)			)			)
											__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(_A			) + "\n"			)
											with open(self.merges_file		,			"w"		,			encoding="utf-8"			) as fp:
																fp.write("\n".join(_A			)			)






						def 				__SCREAMING_SNAKE_CASE(   self		,			**_A			):




											"""simple docstring"""



											kwargs.update(self.special_tokens_map			)
											return CLIPTokenizer.from_pretrained(self.tmpdirname		,			**_A			)






						def 				__SCREAMING_SNAKE_CASE(   self		,			**_A			):




											"""simple docstring"""



											kwargs.update(self.special_tokens_map			)
											return CLIPTokenizerFast.from_pretrained(self.tmpdirname		,			**_A			)






						def 				__SCREAMING_SNAKE_CASE(   self		,			_A			):




											"""simple docstring"""



											__lowerCAmelCase				   =       """lower newer"""
											__lowerCAmelCase				   =       """lower newer"""
											return input_text, output_text






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""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(_A			)
											self.assertListEqual(_A		,			_A			)

											__lowerCAmelCase				   =       tokens + [tokenizer.unk_token]
											__lowerCAmelCase				   =       [1_0, 2, 1_6, 9, 3, 2, 1_6, 2_0]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(_A			)		,			_A			)






						@require_ftfy
						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""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(_A		,			**_A			)
																					__lowerCAmelCase				   =       self.rust_tokenizer_class.from_pretrained(_A		,			**_A			)

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

																					self.assertListEqual(_A		,			_A			)

																					# 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(_A			)
																					__lowerCAmelCase				   =       tokenizer_r.tokenize(_A			)

																					self.assertListEqual(_A		,			_A			)

																					# 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(_A			)
																										__lowerCAmelCase				   =       tokenizer_r.tokenize(_A			)

																										self.assertListEqual(_A		,			_A			)

																					# 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(_A			)
																										__lowerCAmelCase				   =       tokenizer_r.tokenize(_A			)

																										self.assertListEqual(_A		,			_A			)






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""simple docstring"""



											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(
																					    _A		,			use_fast=_A		,			)
																					__lowerCAmelCase				   =       tokenizer_r(_A		,			return_offsets_mapping=_A		,			add_special_tokens=_A			)
																					self.assertEqual(encoding.offset_mapping[0]		,			(0, len(_A			))			)
																					self.assertEqual(
																					    encoding.offset_mapping[1]		,			(len(_A			) + 1, len(_A			) + 1 + len(_A			))		,			)

																					__lowerCAmelCase				   =       f""" {text}"""

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






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""simple docstring"""



											with self.assertRaises(_A			) 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 				__SCREAMING_SNAKE_CASE(   self			):




											"""simple docstring"""



											super().test_tokenization_python_rust_equals()






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""simple docstring"""



											pass








'''simple docstring'''







from math import isqrt


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	int  )  ->			bool:
       return all(number % divisor != 0 for divisor in range(2    ,isqrt(_UpperCAmelCase  ) + 1  )  )


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	int = 10**6  )  ->			int:
       _a    : List[Any]     					=0
       _a    : str     					=1
       _a    : Optional[Any]     					=7
       while prime_candidate < max_prime:
              primes_count += is_prime(_UpperCAmelCase  )

              cube_index += 1
              prime_candidate += 6 * cube_index

       return primes_count


if __name__ == "__main__":
   print(F"{solution() = }")


