



import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
	_snake_case	=						'''pt'''
elif is_tf_available():
	_snake_case	=						'''tf'''
else:
	_snake_case	=						'''jax'''



class 						UpperCAmelCase_					( snake_case__     ,      unittest.TestCase):
							lowerCamelCase__         =	ByTaTokenizer
							lowerCamelCase__         =	False







							def      snake_case__   (     self):

														'''simple docstring'''

														super().setUp()
														_lowerCAmelCase  :							Optional[int]				     =					ByTaTokenizer()
														tokenizer.save_pretrained(self.tmpdirname)







							@cached_property
							def      snake_case__   (     self):

														'''simple docstring'''

														return ByTaTokenizer.from_pretrained("google/byt5-small")







							def      snake_case__   (     self,    **__a):

														'''simple docstring'''

														return self.tokenizer_class.from_pretrained(self.tmpdirname,    **_A)







							def      snake_case__   (     self,    __a,    __a=False,    __a=20,    __a=5):

														'''simple docstring'''

														_lowerCAmelCase  :							List[str]				     =					[]
														for i in range(len(_A)):
																					try:
																												_lowerCAmelCase  :							Optional[Any]				     =					tokenizer.decode([i],    clean_up_tokenization_spaces=_A)
																					except UnicodeDecodeError:
																												pass
																					toks.append((i, tok))

														_lowerCAmelCase  :							Optional[Any]				     =					list(filter(lambda __a: re.match(R"^[ a-zA-Z]+$",    t[1]),    _A))
														_lowerCAmelCase  :							Optional[int]				     =					list(filter(lambda __a: [t[0]] == tokenizer.encode(t[1],    add_special_tokens=_A),    _A))
														if max_length is not None and len(_A) > max_length:
																					_lowerCAmelCase  :							List[str]				     =					toks[:max_length]
														if min_length is not None and len(_A) < min_length and len(_A) > 0:
																					while len(_A) < min_length:
																												_lowerCAmelCase  :							Tuple				     =					toks + toks
        # toks_str = [t[1] for t in toks]
														_lowerCAmelCase  :							Dict				     =					[t[0] for t in toks]

														# Ensure consistency
														_lowerCAmelCase  :							Dict				     =					tokenizer.decode(_A,    clean_up_tokenization_spaces=_A)
														if " " not in output_txt and len(_A) > 1:
																					_lowerCAmelCase  :							Dict				     =					(
																					    tokenizer.decode([toks_ids[0]],    clean_up_tokenization_spaces=_A)
																					    + ' '
																					    + tokenizer.decode(toks_ids[1:],    clean_up_tokenization_spaces=_A)
																					)
														if with_prefix_space:
																					_lowerCAmelCase  :							Any				     =					' ' + output_txt
														_lowerCAmelCase  :							str				     =					tokenizer.encode(_A,    add_special_tokens=_A)
														return output_txt, output_ids







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							List[Any]				     =					self.ta_base_tokenizer
														_lowerCAmelCase  :							Any				     =					tokenizer(["hi</s>", "I went to the gym</s>", "</s>"])
														_lowerCAmelCase  :							Tuple				     =					tokenizer(["hi", "I went to the gym", ""])
														self.assertListEqual(batch_with_eos_added["input_ids"],    batch_without_eos_added["input_ids"])







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							int				     =					self.ta_base_tokenizer
														_lowerCAmelCase  :							List[str]				     =					'Unicode €.'
														_lowerCAmelCase  :							Dict				     =					tokenizer(_A)
														_lowerCAmelCase  :							Tuple				     =					[88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
														self.assertEqual(encoded["input_ids"],    _A)

														# decoding
														_lowerCAmelCase  :							Union[str, Any]				     =					tokenizer.decode(_A)
														self.assertEqual(_A,    "Unicode €.</s>")

														_lowerCAmelCase  :							List[Any]				     =					tokenizer("e è é ê ë")
														_lowerCAmelCase  :							Union[str, Any]				     =					[104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
														self.assertEqual(encoded["input_ids"],    _A)
														# decoding
														_lowerCAmelCase  :							Optional[int]				     =					tokenizer.decode(_A)
														self.assertEqual(_A,    "e è é ê ë</s>")

														# encode/decode, but with `encode` instead of `__call__`
														self.assertEqual(tokenizer.decode(tokenizer.encode("e è é ê ë")),    "e è é ê ë</s>")







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Optional[int]				     =					self.ta_base_tokenizer
														_lowerCAmelCase  :							str				     =					['A long paragraph for summarization.', 'Another paragraph for summarization.']
														# fmt: off
														_lowerCAmelCase  :							Optional[Any]				     =					[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
														# fmt: on
														_lowerCAmelCase  :							List[Any]				     =					tokenizer(_A,    padding=_A,    return_tensors=_A)
														self.assertIsInstance(_A,    _A)

														if FRAMEWORK != "jax":
																					_lowerCAmelCase  :							Optional[int]				     =					list(batch.input_ids.numpy()[0])
														else:
																					_lowerCAmelCase  :							Dict				     =					list(batch.input_ids.tolist()[0])

														self.assertListEqual(_A,    _A)

														self.assertEqual((2, 37),    batch.input_ids.shape)
														self.assertEqual((2, 37),    batch.attention_mask.shape)







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Union[str, Any]				     =					self.ta_base_tokenizer
														_lowerCAmelCase  :							Optional[int]				     =					['A long paragraph for summarization.', 'Another paragraph for summarization.']
														_lowerCAmelCase  :							Optional[int]				     =					tokenizer(_A,    padding=_A,    return_tensors=_A)
														# check if input_ids are returned and no decoder_input_ids
														self.assertIn("input_ids",    _A)
														self.assertIn("attention_mask",    _A)
														self.assertNotIn("decoder_input_ids",    _A)
														self.assertNotIn("decoder_attention_mask",    _A)







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							str				     =					self.ta_base_tokenizer
														_lowerCAmelCase  :							Optional[int]				     =					[
														    'Summary of the text.',
														    'Another summary.',
														]
														_lowerCAmelCase  :							Optional[Any]				     =					tokenizer(
														    text_target=_A,    max_length=32,    padding="max_length",    truncation=_A,    return_tensors=_A)
														self.assertEqual(32,    targets["input_ids"].shape[1])







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							str				     =					self.ta_base_tokenizer
														_lowerCAmelCase  :							Optional[int]				     =					['A long paragraph for summarization. </s>']
														_lowerCAmelCase  :							Tuple				     =					['Summary of the text. </s>']
														# fmt: off
														_lowerCAmelCase  :							str				     =					[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
														_lowerCAmelCase  :							Dict				     =					[86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
														# fmt: on

														_lowerCAmelCase  :							Dict				     =					tokenizer(_A,    text_target=_A)

														self.assertEqual(_A,    batch["input_ids"][0])
														self.assertEqual(_A,    batch["labels"][0])







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Optional[Any]				     =					self.get_tokenizers()
														for tokenizer in tokenizers:
																					with self.subTest(f"{tokenizer.__class__.__name__}"):
																												self.assertNotEqual(tokenizer.model_max_length,    42)

        # Now let's start the test
														_lowerCAmelCase  :							Optional[Any]				     =					self.get_tokenizers()
														for tokenizer in tokenizers:
																					with self.subTest(f"{tokenizer.__class__.__name__}"):
																												# Isolate this from the other tests because we save additional tokens/etc
																												_lowerCAmelCase  :							Union[str, Any]				     =					tempfile.mkdtemp()

																												_lowerCAmelCase  :							Tuple				     =					' He is very happy, UNwant\u00E9d,running'
																												_lowerCAmelCase  :							Any				     =					tokenizer.encode(_A,    add_special_tokens=_A)
																												tokenizer.save_pretrained(_A)

																												_lowerCAmelCase  :							int				     =					tokenizer.__class__.from_pretrained(_A)
																												_lowerCAmelCase  :							Optional[Any]				     =					after_tokenizer.encode(_A,    add_special_tokens=_A)
																												self.assertListEqual(_A,    _A)

																												shutil.rmtree(_A)

														_lowerCAmelCase  :							int				     =					self.get_tokenizers(model_max_length=42)
														for tokenizer in tokenizers:
																					with self.subTest(f"{tokenizer.__class__.__name__}"):
																												# Isolate this from the other tests because we save additional tokens/etc
																												_lowerCAmelCase  :							Union[str, Any]				     =					tempfile.mkdtemp()

																												_lowerCAmelCase  :							List[Any]				     =					' He is very happy, UNwant\u00E9d,running'
																												tokenizer.add_tokens(["bim", "bambam"])
																												_lowerCAmelCase  :							Any				     =					tokenizer.additional_special_tokens
																												additional_special_tokens.append("new_additional_special_token")
																												tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens})
																												_lowerCAmelCase  :							Any				     =					tokenizer.encode(_A,    add_special_tokens=_A)
																												tokenizer.save_pretrained(_A)

																												_lowerCAmelCase  :							Optional[int]				     =					tokenizer.__class__.from_pretrained(_A)
																												_lowerCAmelCase  :							int				     =					after_tokenizer.encode(_A,    add_special_tokens=_A)
																												self.assertListEqual(_A,    _A)
																												self.assertIn("new_additional_special_token",    after_tokenizer.additional_special_tokens)
																												self.assertEqual(after_tokenizer.model_max_length,    42)

																												_lowerCAmelCase  :							Any				     =					tokenizer.__class__.from_pretrained(_A,    model_max_length=43)
																												self.assertEqual(tokenizer.model_max_length,    43)

																												shutil.rmtree(_A)







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Optional[Any]				     =					[]
														if self.test_slow_tokenizer:
																					tokenizer_list.append((self.tokenizer_class, self.get_tokenizer()))

														if self.test_rust_tokenizer:
																					tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer()))

														for tokenizer_class, tokenizer_utils in tokenizer_list:
																					with tempfile.TemporaryDirectory() as tmp_dir:
																												tokenizer_utils.save_pretrained(_A)

																												with open(os.path.join(_A,    "special_tokens_map.json"),    encoding="utf-8") as json_file:
																																			_lowerCAmelCase  :							Union[str, Any]				     =					json.load(_A)

																												with open(os.path.join(_A,    "tokenizer_config.json"),    encoding="utf-8") as json_file:
																																			_lowerCAmelCase  :							Any				     =					json.load(_A)

																												_lowerCAmelCase  :							Optional[int]				     =					[f"<extra_id_{i}>" for i in range(125)]

																												_lowerCAmelCase  :							Tuple				     =					added_tokens_extra_ids + [
																												    'an_additional_special_token'
																												]
																												_lowerCAmelCase  :							str				     =					added_tokens_extra_ids + [
																												    'an_additional_special_token'
																												]

																												with open(os.path.join(_A,    "special_tokens_map.json"),    "w",    encoding="utf-8") as outfile:
																																			json.dump(_A,    _A)
																												with open(os.path.join(_A,    "tokenizer_config.json"),    "w",    encoding="utf-8") as outfile:
																																			json.dump(_A,    _A)

																												# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																												# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																												# "special_tokens_map.json" files
																												_lowerCAmelCase  :							str				     =					tokenizer_class.from_pretrained(
																												    _A,    )
																												self.assertIn(
																												    "an_additional_special_token",    tokenizer_without_change_in_init.additional_special_tokens)
																												# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
																												self.assertEqual(
																												    ["an_additional_special_token"],    tokenizer_without_change_in_init.convert_ids_to_tokens(
																												        tokenizer_without_change_in_init.convert_tokens_to_ids(["an_additional_special_token"])),    )

																												# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																												_lowerCAmelCase  :							str				     =					added_tokens_extra_ids + [AddedToken("a_new_additional_special_token",    lstrip=_A)]
																												_lowerCAmelCase  :							Optional[Any]				     =					tokenizer_class.from_pretrained(
																												    _A,    additional_special_tokens=_A,    )

																												self.assertIn("a_new_additional_special_token",    tokenizer.additional_special_tokens)
																												self.assertEqual(
																												    ["a_new_additional_special_token"],    tokenizer.convert_ids_to_tokens(
																												        tokenizer.convert_tokens_to_ids(["a_new_additional_special_token"])),    )







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Dict				     =					[]
														if self.test_slow_tokenizer:
																					tokenizer_list.append((self.tokenizer_class, self.get_tokenizer()))

														if self.test_rust_tokenizer:
																					tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer()))

														for tokenizer_class, tokenizer_utils in tokenizer_list:
																					with tempfile.TemporaryDirectory() as tmp_dir:
																												tokenizer_utils.save_pretrained(_A)

																												_lowerCAmelCase  :							str				     =					tokenizer_class.from_pretrained(_A)

																												self.assertTrue(tokenizer.decode([255]) == "")







							def      snake_case__   (     self):

														'''simple docstring'''

														pass







							def      snake_case__   (     self):

														'''simple docstring'''

														pass







							def      snake_case__   (     self):

														'''simple docstring'''

														pass







							def      snake_case__   (     self):

														'''simple docstring'''

														pass







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							List[Any]				     =					self.get_tokenizers(fast=_A,    do_lower_case=_A)
														for tokenizer in tokenizers:
																					with self.subTest(f"{tokenizer.__class__.__name__}"):
																												_lowerCAmelCase  :							Dict				     =					['t', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 'x', 't', '</s>']
																												_lowerCAmelCase  :							Tuple				     =					tokenizer.convert_tokens_to_string(_A)

																												self.assertIsInstance(_A,    _A)







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							str				     =					self.get_tokenizers()
														for tokenizer in tokenizers:
																					with self.subTest(f"{tokenizer.__class__.__name__}"):
																												_lowerCAmelCase  :							Dict				     =					[
																												    'bos_token',
																												    'eos_token',
																												    'unk_token',
																												    'sep_token',
																												    'pad_token',
																												    'cls_token',
																												    'mask_token',
																												]

																												_lowerCAmelCase  :							Dict				     =					0
																												_lowerCAmelCase  :							Tuple				     =					tokenizer.convert_ids_to_tokens(
																												    _A,    skip_special_tokens=_A)

																												for attr in attributes_list:
																																			setattr(_A,    attr + "_id",    _A)
																																			self.assertEqual(getattr(_A,    _A),    _A)
																																			self.assertEqual(getattr(_A,    attr + "_id"),    _A)

																																			setattr(_A,    attr + "_id",    _A)
																																			self.assertEqual(getattr(_A,    _A),    _A)
																																			self.assertEqual(getattr(_A,    attr + "_id"),    _A)

																												setattr(_A,    "additional_special_tokens_ids",    [])
																												self.assertListEqual(getattr(_A,    "additional_special_tokens"),    [])
																												self.assertListEqual(getattr(_A,    "additional_special_tokens_ids"),    [])

																												setattr(_A,    "additional_special_tokens_ids",    [token_id_to_test_setters])
																												self.assertListEqual(getattr(_A,    "additional_special_tokens"),    [token_to_test_setters])
																												self.assertListEqual(getattr(_A,    "additional_special_tokens_ids"),    [token_id_to_test_setters])





import string






def        A       (      _lowerCamelCase						):





							'''simple docstring'''




							for key in range(len(string.ascii_uppercase						)						):
														_lowerCAmelCase  :							str				     =					""
														for symbol in message:
																					if symbol in string.ascii_uppercase:
																												_lowerCAmelCase  :							List[str]				     =					string.ascii_uppercase.find(_lowerCamelCase						)
																												_lowerCAmelCase  :							Dict				     =					num - key
																												if num < 0:
																																			_lowerCAmelCase  :							Dict				     =					num + len(string.ascii_uppercase						)
																												_lowerCAmelCase  :							Optional[Any]				     =					translated + string.ascii_uppercase[num]
																					else:
																												_lowerCAmelCase  :							int				     =					translated + symbol
														print(F"Decryption using Key #{key}: {translated}"						)






def        A       (      ):





							'''simple docstring'''




							_lowerCAmelCase  :							Tuple				     =					input("Encrypted message: "						)
							_lowerCAmelCase  :							Dict				     =					message.upper()
							decrypt(_lowerCamelCase						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()
