




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     ):
		__snake_case									=   CLIPTokenizer
		__snake_case									=   CLIPTokenizerFast
		__snake_case									=   True
		__snake_case									=   {}
		__snake_case									=   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(UpperCamelCase__,	range(len(UpperCamelCase__   )   )   )   )
								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(UpperCamelCase__   ) + '''\n'''   )
								with open(self.merges_file,	'''w''',	encoding='''utf-8'''   ) as fp:
														fp.write('''\n'''.join(UpperCamelCase__   )   )



		def        SCREAMING_SNAKE_CASE__			(     self,	**UpperCamelCase__   ):







								"""simple docstring"""



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



		def        SCREAMING_SNAKE_CASE__			(     self,	**UpperCamelCase__   ):







								"""simple docstring"""



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



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""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(UpperCamelCase__   )
								self.assertListEqual(UpperCamelCase__,	UpperCamelCase__   )

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



		@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(UpperCamelCase__,	**UpperCamelCase__   )
																				lowerCAmelCase_      			=  self.rust_tokenizer_class.from_pretrained(UpperCamelCase__,	**UpperCamelCase__   )

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

																				self.assertListEqual(UpperCamelCase__,	UpperCamelCase__   )

																				# 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(UpperCamelCase__   )
																				lowerCAmelCase_      			=  tokenizer_r.tokenize(UpperCamelCase__   )

																				self.assertListEqual(UpperCamelCase__,	UpperCamelCase__   )

																				# 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(UpperCamelCase__   )
																										lowerCAmelCase_      			=  tokenizer_r.tokenize(UpperCamelCase__   )

																										self.assertListEqual(UpperCamelCase__,	UpperCamelCase__   )

																				# 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(UpperCamelCase__   )
																										lowerCAmelCase_      			=  tokenizer_r.tokenize(UpperCamelCase__   )

																										self.assertListEqual(UpperCamelCase__,	UpperCamelCase__   )



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

																				lowerCAmelCase_      			=  f" {text}"

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



		def        SCREAMING_SNAKE_CASE__			(     self   ):







								"""simple docstring"""



								with self.assertRaises(UpperCamelCase__   ) 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










def __UpperCamelCase			(       _A  ):
						if not numbers:
												return 0

						if not isinstance(_A ,  (list, tuple)  ) or not all(
						    isinstance(_A ,  _A  ) for number in numbers  ):
												raise ValueError('''numbers must be an iterable of integers'''  )

						lowerCAmelCase_      			=  lowerCAmelCase_      			=  lowerCAmelCase_      			=  numbers[0]

						for i in range(1 ,  len(_A  )  ):
												# update the maximum and minimum subarray products
												lowerCAmelCase_      			=  numbers[i]
												if number < 0:
																		lowerCAmelCase_			,					lowerCAmelCase_      			=  min_till_now, max_till_now
												lowerCAmelCase_      			=  max(_A ,  max_till_now * number  )
												lowerCAmelCase_      			=  min(_A ,  min_till_now * number  )

												# update the maximum product found till now
												lowerCAmelCase_      			=  max(_A ,  _A  )

						return max_prod




