'''simple docstring'''

import json
import os
import unittest

from transformers import AutoTokenizer, GPTaTokenizer, GPTaTokenizerFast
from transformers.models.gpta.tokenization_gpta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class   SCREAMING_SNAKE_CASE			(						_UpperCamelCase    ,			unittest.TestCase):







		"""simple docstring"""
		lowercase   :      Optional[Any]       =							GPTaTokenizer
		lowercase   :      int       =							GPTaTokenizerFast
		lowercase   :      int       =							True
		lowercase   :      Any       =							{'add_prefix_space': True}
		lowercase   :      Optional[Any]       =							False






		def 		UpperCamelCase__       (   self				) ->     Optional[Any]:
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								_lowerCAmelCase										=[
								    "l",
								    "o",
								    "w",
								    "e",
								    "r",
								    "s",
								    "t",
								    "i",
								    "d",
								    "n",
								    "\u0120",
								    "\u0120l",
								    "\u0120n",
								    "\u0120lo",
								    "\u0120low",
								    "er",
								    "\u0120lowest",
								    "\u0120newer",
								    "\u0120wider",
								    "<unk>",
								    "<|endoftext|>",
								]
								_lowerCAmelCase										=dict(zip(__A		,						range(len(__A				)				)				)				)
								_lowerCAmelCase										=["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
								_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 		UpperCamelCase__       (   self		,						**__A				) ->     int:
								kwargs.update(self.special_tokens_map				)
								return GPTaTokenizer.from_pretrained(self.tmpdirname		,						**__A				)






		def 		UpperCamelCase__       (   self		,						**__A				) ->     List[Any]:
								kwargs.update(self.special_tokens_map				)
								return GPTaTokenizerFast.from_pretrained(self.tmpdirname		,						**__A				)






		def 		UpperCamelCase__       (   self		,						__A				) ->     Any:
								_lowerCAmelCase										="lower newer"
								_lowerCAmelCase										="lower newer"
								return input_text, output_text






		def 		UpperCamelCase__       (   self				) ->     List[str]:
								_lowerCAmelCase										=GPTaTokenizer(self.vocab_file		,						self.merges_file		,						**self.special_tokens_map				)
								_lowerCAmelCase										="lower newer"
								_lowerCAmelCase										=["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
								_lowerCAmelCase										=tokenizer.tokenize(__A		,						add_prefix_space=__A				)
								self.assertListEqual(__A		,						__A				)

								_lowerCAmelCase										=tokens + [tokenizer.unk_token]
								_lowerCAmelCase										=[14, 15, 10, 9, 3, 2, 15, 19]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(__A				)		,						__A				)






		def 		UpperCamelCase__       (   self				) ->     Tuple:
								if not self.test_rust_tokenizer:
														return

								_lowerCAmelCase										=self.get_tokenizer()
								_lowerCAmelCase										=self.get_rust_tokenizer(add_prefix_space=__A				)

								_lowerCAmelCase										="lower newer"

								# Testing tokenization
								_lowerCAmelCase										=tokenizer.tokenize(__A		,						add_prefix_space=__A				)
								_lowerCAmelCase										=rust_tokenizer.tokenize(__A				)
								self.assertListEqual(__A		,						__A				)

								# Testing conversion to ids without special tokens
								_lowerCAmelCase										=tokenizer.encode(__A		,						add_special_tokens=__A		,						add_prefix_space=__A				)
								_lowerCAmelCase										=rust_tokenizer.encode(__A		,						add_special_tokens=__A				)
								self.assertListEqual(__A		,						__A				)

								# Testing conversion to ids with special tokens
								_lowerCAmelCase										=self.get_rust_tokenizer(add_prefix_space=__A				)
								_lowerCAmelCase										=tokenizer.encode(__A		,						add_prefix_space=__A				)
								_lowerCAmelCase										=rust_tokenizer.encode(__A				)
								self.assertListEqual(__A		,						__A				)

								# Testing the unknown token
								_lowerCAmelCase										=tokens + [rust_tokenizer.unk_token]
								_lowerCAmelCase										=[14, 15, 10, 9, 3, 2, 15, 19]
								self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(__A				)		,						__A				)






		def 		UpperCamelCase__       (   self		,						*__A		,						**__A				) ->     Tuple:
								# It's very difficult to mix/test pretokenization with byte-level
								# And get both GPT2 and Roberta to work at the same time (mostly an issue of adding a space before the string)
								pass






		def 		UpperCamelCase__       (   self		,						__A=15				) ->     Tuple:
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
														with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''				):
																				_lowerCAmelCase										=self.rust_tokenizer_class.from_pretrained(__A		,						**__A				)

																				# Simple input
																				_lowerCAmelCase										="This is a simple input"
																				_lowerCAmelCase										=["This is a simple input 1", "This is a simple input 2"]
																				_lowerCAmelCase										=("This is a simple input", "This is a pair")
																				_lowerCAmelCase										=[
																				    ("This is a simple input 1", "This is a simple input 2"),
																				    ("This is a simple pair 1", "This is a simple pair 2"),
																				]

																				# Simple input tests
																				self.assertRaises(__A		,						tokenizer_r.encode		,						__A		,						max_length=__A		,						padding='max_length'				)

																				# Simple input
																				self.assertRaises(__A		,						tokenizer_r.encode_plus		,						__A		,						max_length=__A		,						padding='max_length'				)

																				# Simple input
																				self.assertRaises(
																				    __A		,						tokenizer_r.batch_encode_plus		,						__A		,						max_length=__A		,						padding='max_length'		,						)

																				# Pair input
																				self.assertRaises(__A		,						tokenizer_r.encode		,						__A		,						max_length=__A		,						padding='max_length'				)

																				# Pair input
																				self.assertRaises(__A		,						tokenizer_r.encode_plus		,						__A		,						max_length=__A		,						padding='max_length'				)

																				# Pair input
																				self.assertRaises(
																				    __A		,						tokenizer_r.batch_encode_plus		,						__A		,						max_length=__A		,						padding='max_length'		,						)






		def 		UpperCamelCase__       (   self				) ->     Union[str, Any]:
								_lowerCAmelCase										=GPTaTokenizer.from_pretrained(self.tmpdirname		,						pad_token='<pad>'				)

								# Simple input
								_lowerCAmelCase										="This is a simple input"
								_lowerCAmelCase										=["This is a simple input looooooooong", "This is a simple input"]
								_lowerCAmelCase										=("This is a simple input", "This is a pair")
								_lowerCAmelCase										=[
								    ("This is a simple input loooooong", "This is a simple input"),
								    ("This is a simple pair loooooong", "This is a simple pair"),
								]

								_lowerCAmelCase										=tokenizer.pad_token_id

								_lowerCAmelCase										=tokenizer(__A		,						padding='max_length'		,						max_length=30		,						return_tensors='np'				)
								_lowerCAmelCase										=tokenizer(__A		,						padding=__A		,						truncate=__A		,						return_tensors='np'				)
								_lowerCAmelCase										=tokenizer(*__A		,						padding='max_length'		,						max_length=60		,						return_tensors='np'				)
								_lowerCAmelCase										=tokenizer(__A		,						padding=__A		,						truncate=__A		,						return_tensors='np'				)

								# s
								# test single string max_length padding
								self.assertEqual(out_s['input_ids'].shape[-1]		,						30				)
								self.assertTrue(pad_token_id in out_s['input_ids']				)
								self.assertTrue(0 in out_s['attention_mask']				)

								# s2
								# test automatic padding
								self.assertEqual(out_sa['input_ids'].shape[-1]		,						33				)
								# long slice doesn't have padding
								self.assertFalse(pad_token_id in out_sa['input_ids'][0]				)
								self.assertFalse(0 in out_sa['attention_mask'][0]				)
								# short slice does have padding
								self.assertTrue(pad_token_id in out_sa['input_ids'][1]				)
								self.assertTrue(0 in out_sa['attention_mask'][1]				)

								# p
								# test single pair max_length padding
								self.assertEqual(out_p['input_ids'].shape[-1]		,						60				)
								self.assertTrue(pad_token_id in out_p['input_ids']				)
								self.assertTrue(0 in out_p['attention_mask']				)

								# p2
								# test automatic padding pair
								self.assertEqual(out_pa['input_ids'].shape[-1]		,						52				)
								# long slice pair doesn't have padding
								self.assertFalse(pad_token_id in out_pa['input_ids'][0]				)
								self.assertFalse(0 in out_pa['attention_mask'][0]				)
								# short slice pair does have padding
								self.assertTrue(pad_token_id in out_pa['input_ids'][1]				)
								self.assertTrue(0 in out_pa['attention_mask'][1]				)






		def 		UpperCamelCase__       (   self				) ->     Any:
								_lowerCAmelCase										="$$$"
								_lowerCAmelCase										=GPTaTokenizer.from_pretrained(self.tmpdirname		,						bos_token=__A		,						add_bos_token=__A				)

								_lowerCAmelCase										="This is a simple input"
								_lowerCAmelCase										=["This is a simple input 1", "This is a simple input 2"]

								_lowerCAmelCase										=tokenizer.bos_token_id

								_lowerCAmelCase										=tokenizer(__A				)
								_lowerCAmelCase										=tokenizer(__A				)

								self.assertEqual(out_s.input_ids[0]		,						__A				)
								self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids				)				)

								_lowerCAmelCase										=tokenizer.decode(out_s.input_ids				)
								_lowerCAmelCase										=tokenizer.batch_decode(out_sa.input_ids				)

								self.assertEqual(decode_s.split()[0]		,						__A				)
								self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa				)				)






		def 		UpperCamelCase__       (   self				) ->     int:
								pass






		def 		UpperCamelCase__       (   self				) ->     Union[str, Any]:
								# TODO: change to self.get_tokenizers() when the fast version is implemented
								_lowerCAmelCase										=[self.get_tokenizer(do_lower_case=__A		,						add_bos_token=__A				)]
								for tokenizer in tokenizers:
														with self.subTest(F'''{tokenizer.__class__.__name__}'''				):
																				_lowerCAmelCase										="Encode this."
																				_lowerCAmelCase										="This one too please."
																				_lowerCAmelCase										=tokenizer.encode(__A		,						add_special_tokens=__A				)
																				encoded_sequence += tokenizer.encode(__A		,						add_special_tokens=__A				)
																				_lowerCAmelCase										=tokenizer.encode_plus(
																				    __A		,						__A		,						add_special_tokens=__A		,						return_special_tokens_mask=__A		,						)
																				_lowerCAmelCase										=encoded_sequence_dict["input_ids"]
																				_lowerCAmelCase										=encoded_sequence_dict["special_tokens_mask"]
																				self.assertEqual(len(__A				)		,						len(__A				)				)

																				_lowerCAmelCase										=[
																				    (x if not special_tokens_mask[i] else None) for i, x in enumerate(__A				)
																				]
																				_lowerCAmelCase										=[x for x in filtered_sequence if x is not None]
																				self.assertEqual(__A		,						__A				)

@require_tokenizers
class   SCREAMING_SNAKE_CASE			(						unittest.TestCase):







		"""simple docstring"""






		def 		UpperCamelCase__       (   self				) ->     Tuple:
								# More context:
								# https://huggingface.co/wjmcat/opt-350m-paddle/discussions/1
								# https://huggingface.slack.com/archives/C01N44FJDHT/p1653511495183519
								# https://github.com/huggingface/transformers/pull/17088#discussion_r871246439

								_lowerCAmelCase										=AutoTokenizer.from_pretrained('facebook/opt-350m'		,						from_slow=__A				)
								_lowerCAmelCase										="A photo of a cat"

								_lowerCAmelCase										=tokenizer.encode(
								    __A		,						)
								self.assertEqual(__A		,						[2, 250, 1345, 9, 10, 4758]				)
								tokenizer.save_pretrained('test_opt'				)

								_lowerCAmelCase										=AutoTokenizer.from_pretrained('./test_opt'				)
								_lowerCAmelCase										=tokenizer.encode(
								    __A		,						)
								self.assertEqual(__A		,						[2, 250, 1345, 9, 10, 4758]				)






		def 		UpperCamelCase__       (   self				) ->     int:
								_lowerCAmelCase										=AutoTokenizer.from_pretrained('facebook/opt-350m'		,						use_slow=__A				)
								_lowerCAmelCase										="A photo of a cat"

								_lowerCAmelCase										=tokenizer.encode(
								    __A		,						)
								# Same as above
								self.assertEqual(__A		,						[2, 250, 1345, 9, 10, 4758]				)






		@unittest.skip('This test is failing because of a bug in the fast tokenizer'				)
		def 		UpperCamelCase__       (   self				) ->     str:
								_lowerCAmelCase										=AutoTokenizer.from_pretrained('facebook/opt-350m'		,						from_slow=__A				)

								_lowerCAmelCase										="bos"
								_lowerCAmelCase										=tokenizer.get_vocab()["bos"]

								_lowerCAmelCase										="A photo of a cat"
								_lowerCAmelCase										=tokenizer.encode(
								    __A		,						)
								# We changed the bos token
								self.assertEqual(__A		,						[3_1957, 250, 1345, 9, 10, 4758]				)
								tokenizer.save_pretrained('./tok'				)
								_lowerCAmelCase										=AutoTokenizer.from_pretrained('./tok'				)
								self.assertTrue(tokenizer.is_fast				)
								_lowerCAmelCase										=tokenizer.encode(
								    __A		,						)
								self.assertEqual(__A		,						[3_1957, 250, 1345, 9, 10, 4758]				)





'''simple docstring'''

lowercase_     		= {
    '''A''': '''.-''', '''B''': '''-...''', '''C''': '''-.-.''', '''D''': '''-..''', '''E''': '''.''', '''F''': '''..-.''', '''G''': '''--.''',
    '''H''': '''....''', '''I''': '''..''', '''J''': '''.---''', '''K''': '''-.-''', '''L''': '''.-..''', '''M''': '''--''', '''N''': '''-.''',
    '''O''': '''---''', '''P''': '''.--.''', '''Q''': '''--.-''', '''R''': '''.-.''', '''S''': '''...''', '''T''': '''-''', '''U''': '''..-''',
    '''V''': '''...-''', '''W''': '''.--''', '''X''': '''-..-''', '''Y''': '''-.--''', '''Z''': '''--..''', '''1''': '''.----''',
    '''2''': '''..---''', '''3''': '''...--''', '''4''': '''....-''', '''5''': '''.....''', '''6''': '''-....''', '''7''': '''--...''',
    '''8''': '''---..''', '''9''': '''----.''', '''0''': '''-----''', '''&''': '''.-...''', '''@''': '''.--.-.''',
    ''':''': '''---...''', ''',''': '''--..--''', '''.''': '''.-.-.-''', '''\'''': '''.----.''', '''"''': '''.-..-.''',
    '''?''': '''..--..''', '''/''': '''-..-.''', '''=''': '''-...-''', '''+''': '''.-.-.''', '''-''': '''-....-''',
    '''(''': '''-.--.''', ''')''': '''-.--.-''', '''!''': '''-.-.--''', ''' ''': '''/'''
}  # Exclamation mark is not in ITU-R recommendation
# fmt: on
lowercase_     		= {value: key for key, value in MORSE_CODE_DICT.items()}



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






						return " ".join(MORSE_CODE_DICT[char] for char in message.upper()      )



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






						return "".join(REVERSE_DICT[char] for char in message.split()      )



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										='Morse code here!'
						print(a__      )
						_lowerCAmelCase										=encrypt(a__      )
						print(a__      )
						_lowerCAmelCase										=decrypt(a__      )
						print(a__      )


if __name__ == "__main__":
							main()





