





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      (SCREAMING_SNAKE_CASE       ,					unittest.TestCase   ):
			'''simple docstring'''




			__lowerCamelCase     :	int          =   CLIPTokenizer
			__lowerCamelCase     :	Optional[int]          =   CLIPTokenizerFast
			__lowerCamelCase     :	int          =   True
			__lowerCamelCase     :	Tuple          =   {}
			__lowerCamelCase     :	str          =   False






			def        a_	(      self       :   int       )     ->     List[str]:







					"""simple docstring"""






					super().setUp()

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

					A__  				=       os.path.join(self.tmpdirname							,     VOCAB_FILES_NAMES["""vocab_file"""]       )
					A__  				=       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        a_	(      self       :   Union[str, Any]							,     **__lowerCAmelCase       :   Optional[int]       )     ->     Any:







					"""simple docstring"""






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






			def        a_	(      self       :   List[str]							,     **__lowerCAmelCase       :   Union[str, Any]       )     ->     Dict:







					"""simple docstring"""






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






			def        a_	(      self       :   List[Any]							,     __lowerCAmelCase       :   List[Any]       )     ->     int:







					"""simple docstring"""






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






			def        a_	(      self       :   int       )     ->     List[Any]:







					"""simple docstring"""






					A__  				=       CLIPTokenizer(self.vocab_file							,     self.merges_file							,     **self.special_tokens_map       )
					A__  				=       """lower newer"""
					A__  				=       ["""lo""", """w""", """er</w>""", """n""", """e""", """w""", """er</w>"""]
					A__  				=       tokenizer.tokenize(__lowerCAmelCase       )
					self.assertListEqual(__lowerCAmelCase							,     __lowerCAmelCase       )

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






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







					"""simple docstring"""






					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'       ):
									A__  				=       self.tokenizer_class.from_pretrained(__lowerCAmelCase							,     **__lowerCAmelCase       )
									A__  				=       self.rust_tokenizer_class.from_pretrained(__lowerCAmelCase							,     **__lowerCAmelCase       )

									A__  				=       """A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."""
									A__  				=       tokenizer_s.tokenize(__lowerCAmelCase       )
									A__  				=       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
									A__  				=       """xa\u0303y""" + """ """ + """x\xe3y"""
									A__  				=       tokenizer_s.tokenize(__lowerCAmelCase       )
									A__  				=       tokenizer_r.tokenize(__lowerCAmelCase       )

									self.assertListEqual(__lowerCAmelCase							,     __lowerCAmelCase       )

									# Test that the tokenization is identical on unicode of space type
									A__  				=       [
									    """\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:
											A__  				=       tokenizer_s.tokenize(__lowerCAmelCase       )
											A__  				=       tokenizer_r.tokenize(__lowerCAmelCase       )

											self.assertListEqual(__lowerCAmelCase							,     __lowerCAmelCase       )

									# Test that the tokenization is identical on unicode of line break type
									A__  				=       [
									    """\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:
											A__  				=       tokenizer_s.tokenize(__lowerCAmelCase       )
											A__  				=       tokenizer_r.tokenize(__lowerCAmelCase       )

											self.assertListEqual(__lowerCAmelCase							,     __lowerCAmelCase       )






			def        a_	(      self       :   Any       )     ->     List[str]:







					"""simple docstring"""






					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'       ):
									A__  				=       """hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
									A__  				=       f'{text_of_1_token} {text_of_1_token}'

									A__  				=       self.rust_tokenizer_class.from_pretrained(
									    __lowerCAmelCase							,     use_fast=__lowerCAmelCase							,     )
									A__  				=       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       ))							,     )

									A__  				=       f' {text}'

									A__  				=       self.rust_tokenizer_class.from_pretrained(
									    __lowerCAmelCase							,     use_fast=__lowerCAmelCase							,     )
									A__  				=       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        a_	(      self       :   Any       )     ->     List[Any]:







					"""simple docstring"""






					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        a_	(      self       :   List[str]       )     ->     Optional[Any]:







					"""simple docstring"""






					super().test_tokenization_python_rust_equals()







			def        a_	(      self       :   Any       )     ->     int:







					"""simple docstring"""






					pass










import math







def        __lowerCamelCase (							)		->    None:






		"""simple docstring"""

		A__  				=       input("""Enter message: """   )
		A__  				=       int(input(F'Enter key [2-{len(__a   ) - 1}]: '   )   )
		A__  				=       input("""Encryption/Decryption [e/d]: """   )

		if mode.lower().startswith("""e"""   ):
				A__  				=       encrypt_message(__a   ,					__a   )
		elif mode.lower().startswith("""d"""   ):
				A__  				=       decrypt_message(__a   ,					__a   )

		# Append pipe symbol (vertical bar) to identify spaces at the end.
		print(F'Output:\n{text + "|"}'   )







def        __lowerCamelCase (							__a       :int   ,					__a       :str   )		->    str:






		"""simple docstring"""

		A__  				=       [""""""] * key
		for col in range(__a   ):
				A__  				=       col
				while pointer < len(__a   ):
						cipher_text[col] += message[pointer]
						pointer += key
		return "".join(__a   )







def        __lowerCamelCase (							__a       :int   ,					__a       :str   )		->    str:






		"""simple docstring"""

		A__  				=       math.ceil(len(__a   ) / key   )
		A__  				=       key
		A__  				=       (num_cols * num_rows) - len(__a   )
		A__  				=       [""""""] * num_cols
		A__  				=       0
		A__  				=       0

		for symbol in message:
				plain_text[col] += symbol
				col += 1

				if (
				    (col == num_cols)
				    or (col == num_cols - 1)
				    and (row >= num_rows - num_shaded_boxes)
				):
						A__  				=       0
						row += 1

		return "".join(__a   )


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()



