



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__  (	UpperCamelCase					,							unittest.TestCase						):
					__A     :    List[Any]           =						CLIPTokenizer
					__A     :    List[str]           =						CLIPTokenizerFast
					__A     :    str           =						True
					__A     :    Optional[Any]           =						{}
					__A     :    List[str]           =						False







					def  _lowercase			(       self      :     List[str]):
											super().setUp()

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

											A__	:							List[Any]						    = os.path.join(self.tmpdirname			,		VOCAB_FILES_NAMES["vocab_file"])
											A__	:							List[Any]						    = 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  _lowercase			(       self      :     Optional[int]			,		**_A      :     Dict):
											kwargs.update(self.special_tokens_map)
											return CLIPTokenizer.from_pretrained(self.tmpdirname			,		**_A)







					def  _lowercase			(       self      :     Any			,		**_A      :     List[Any]):
											kwargs.update(self.special_tokens_map)
											return CLIPTokenizerFast.from_pretrained(self.tmpdirname			,		**_A)







					def  _lowercase			(       self      :     str			,		_A      :     List[str]):
											A__	:							Any						    = "lower newer"
											A__	:							Dict						    = "lower newer"
											return input_text, output_text







					def  _lowercase			(       self      :     List[Any]):
											A__	:							Any						    = CLIPTokenizer(self.vocab_file			,		self.merges_file			,		**self.special_tokens_map)
											A__	:							Optional[Any]						    = "lower newer"
											A__	:							int						    = ["lo", "w", "er</w>", "n", "e", "w", "er</w>"]
											A__	:							Any						    = tokenizer.tokenize(_A)
											self.assertListEqual(_A			,		_A)

											A__	:							List[str]						    = tokens + [tokenizer.unk_token]
											A__	:							Any						    = [10, 2, 16, 9, 3, 2, 16, 20]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(_A)			,		_A)







					@require_ftfy
					def  _lowercase			(       self      :     Optional[int]):
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'):
																							A__	:							Optional[Any]						    = self.tokenizer_class.from_pretrained(_A			,		**_A)
																							A__	:							str						    = self.rust_tokenizer_class.from_pretrained(_A			,		**_A)

																							A__	:							List[str]						    = "A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."
																							A__	:							Optional[Any]						    = tokenizer_s.tokenize(_A)
																							A__	:							List[Any]						    = 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
																							A__	:							Optional[int]						    = "xa\u0303y" + " " + "x\xe3y"
																							A__	:							Dict						    = tokenizer_s.tokenize(_A)
																							A__	:							Optional[Any]						    = tokenizer_r.tokenize(_A)

																							self.assertListEqual(_A			,		_A)

																							# Test that the tokenization is identical on unicode of space type
																							A__	:							Any						    = [
																							    "\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__	:							Union[str, Any]						    = tokenizer_s.tokenize(_A)
																													A__	:							Optional[Any]						    = tokenizer_r.tokenize(_A)

																													self.assertListEqual(_A			,		_A)

																							# Test that the tokenization is identical on unicode of line break type
																							A__	:							Optional[int]						    = [
																							    "\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__	:							Optional[int]						    = tokenizer_s.tokenize(_A)
																													A__	:							Union[str, Any]						    = tokenizer_r.tokenize(_A)

																													self.assertListEqual(_A			,		_A)







					def  _lowercase			(       self      :     Tuple):
											# 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})'):
																							A__	:							List[Any]						    = "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
																							A__	:							int						    = F'{text_of_1_token} {text_of_1_token}'

																							A__	:							Union[str, Any]						    = self.rust_tokenizer_class.from_pretrained(
																							    _A			,		use_fast=_A			,		)
																							A__	:							Any						    = 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))			,		)

																							A__	:							Optional[int]						    = F' {text}'

																							A__	:							List[str]						    = self.rust_tokenizer_class.from_pretrained(
																							    _A			,		use_fast=_A			,		)
																							A__	:							Union[str, Any]						    = 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  _lowercase			(       self      :     List[Any]):
											# 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(_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  _lowercase			(       self      :     int):
											super().test_tokenization_python_rust_equals()







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




snake_case    :						Tuple  =						'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
def 	snake_case__       (					)		->		None:







						"""simple docstring"""

						A__	:							Union[str, Any]						    = input("Enter message: "       )
						A__	:							Tuple						    = input("Enter key [alphanumeric]: "       )
						A__	:							Optional[Any]						    = input("Encrypt/Decrypt [e/d]: "       )

						if mode.lower().startswith("e"       ):
												A__	:							Tuple						    = "encrypt"
												A__	:							str						    = encrypt_message(__lowercase							,     __lowercase       )
						elif mode.lower().startswith("d"       ):
												A__	:							Optional[Any]						    = "decrypt"
												A__	:							Union[str, Any]						    = decrypt_message(__lowercase							,     __lowercase       )

						print(F'\n{mode.title()}ed message:'       )
						print(__lowercase       )
def 	snake_case__       (					__lowercase							,     __lowercase       )		->		str:







						"""simple docstring"""

						return translate_message(__lowercase							,     __lowercase							,     "encrypt"       )
def 	snake_case__       (					__lowercase							,     __lowercase       )		->		str:







						"""simple docstring"""

						return translate_message(__lowercase							,     __lowercase							,     "decrypt"       )
def 	snake_case__       (					__lowercase							,     __lowercase							,     __lowercase       )		->		str:







						"""simple docstring"""

						A__	:							Dict						    = []
						A__	:							Union[str, Any]						    = 0
						A__	:							List[Any]						    = key.upper()

						for symbol in message:
												A__	:							List[str]						    = LETTERS.find(symbol.upper()       )
												if num != -1:
																		if mode == "encrypt":
																								num += LETTERS.find(key[key_index]       )
																		elif mode == "decrypt":
																								num -= LETTERS.find(key[key_index]       )

																		num %= len(__lowercase       )

																		if symbol.isupper():
																								translated.append(LETTERS[num]       )
																		elif symbol.islower():
																								translated.append(LETTERS[num].lower()       )

																		key_index += 1
																		if key_index == len(__lowercase       ):
																								A__	:							Optional[int]						    = 0
												else:
																		translated.append(__lowercase       )
						return "".join(__lowercase       )


if __name__ == "__main__":
		main()