

import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class 					a__						(					snake_case							,	unittest.TestCase		):
			"""simple docstring"""







			__lowerCamelCase        =       None
			__lowerCamelCase        =       BloomTokenizerFast
			__lowerCamelCase        =       BloomTokenizerFast
			__lowerCamelCase        =       True
			__lowerCamelCase        =       False
			__lowerCamelCase        =       'tokenizer_file'
			__lowerCamelCase        =       {'bos_token': '<s>', 'eos_token': '</s>', 'unk_token': '<unk>', 'pad_token': '<pad>'}


			def      UpperCamelCase		(    self       )  ->						Dict:
							'''simple docstring'''






							super().setUp()
							A__        =			BloomTokenizerFast.from_pretrained("bigscience/tokenizer"       )
							tokenizer.save_pretrained(self.tmpdirname       )


			def      UpperCamelCase		(    self      ,      **lowercase       )  ->						List[str]:
							'''simple docstring'''






							kwargs.update(self.special_tokens_map       )
							return BloomTokenizerFast.from_pretrained(self.tmpdirname      ,      **lowercase       )


			def      UpperCamelCase		(    self       )  ->						Dict:
							'''simple docstring'''






							A__        =			self.get_rust_tokenizer()

							A__        =			["The quick brown fox</s>", "jumps over the lazy dog</s>"]
							A__        =			[[2175, 23714, 73173, 144252, 2], [77, 132619, 3478, 368, 109586, 35433, 2]]

							A__        =			tokenizer.batch_encode_plus(lowercase       )["input_ids"]
							self.assertListEqual(lowercase      ,      lowercase       )

							A__        =			tokenizer.batch_decode(lowercase       )
							self.assertListEqual(lowercase      ,      lowercase       )


			def      UpperCamelCase		(    self      ,      lowercase=6       )  ->						List[str]:
							'''simple docstring'''






							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'       ):
															A__        =			self.rust_tokenizer_class.from_pretrained(lowercase      ,      **lowercase       )
															# tokenizer_r.pad_token = None # Hotfixing padding = None
															# Simple input
															A__        =			"This is a simple input"
															A__        =			["This is a simple input 1", "This is a simple input 2"]
															A__        =			("This is a simple input", "This is a pair")
															A__        =			[
															    ("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
															try:
																			tokenizer_r.encode(lowercase      ,      max_length=lowercase       )
																			tokenizer_r.encode_plus(lowercase      ,      max_length=lowercase       )

																			tokenizer_r.batch_encode_plus(lowercase      ,      max_length=lowercase       )
																			tokenizer_r.encode(lowercase      ,      max_length=lowercase       )
																			tokenizer_r.batch_encode_plus(lowercase      ,      max_length=lowercase       )
															except ValueError:
																			self.fail("Bloom Tokenizer should be able to deal with padding"       )

															A__        =			None  # Hotfixing padding = None
															self.assertRaises(lowercase      ,      tokenizer_r.encode      ,      lowercase      ,      max_length=lowercase      ,      padding="max_length"       )

															# Simple input
															self.assertRaises(lowercase      ,      tokenizer_r.encode_plus      ,      lowercase      ,      max_length=lowercase      ,      padding="max_length"       )

															# Simple input
															self.assertRaises(
															    lowercase      ,      tokenizer_r.batch_encode_plus      ,      lowercase      ,      max_length=lowercase      ,      padding="max_length"      ,      )

															# Pair input
															self.assertRaises(lowercase      ,      tokenizer_r.encode      ,      lowercase      ,      max_length=lowercase      ,      padding="max_length"       )

															# Pair input
															self.assertRaises(lowercase      ,      tokenizer_r.encode_plus      ,      lowercase      ,      max_length=lowercase      ,      padding="max_length"       )

															# Pair input
															self.assertRaises(
															    lowercase      ,      tokenizer_r.batch_encode_plus      ,      lowercase      ,      max_length=lowercase      ,      padding="max_length"      ,      )


			def      UpperCamelCase		(    self       )  ->						List[Any]:
							'''simple docstring'''






							A__        =			self.get_rust_tokenizer()
							A__        =			load_dataset("xnli"      ,      "all_languages"      ,      split="test"      ,      streaming=lowercase       )

							A__        =			next(iter(lowercase       )       )["premise"]  # pick up one data
							A__        =			list(sample_data.values()       )

							A__        =			list(map(tokenizer.encode      ,      lowercase       )       )
							A__        =			[tokenizer.decode(lowercase      ,      clean_up_tokenization_spaces=lowercase       ) for x in output_tokens]
							self.assertListEqual(lowercase      ,      lowercase       )


			def      UpperCamelCase		(    self       )  ->						Union[str, Any]:
							'''simple docstring'''






							self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map       )      ,      1       )
							self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()       )[0]       )      ,      1       )




lowerCAmelCase__	   = """ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"""



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							bytes      )			->      bytes:




				'''simple docstring'''





				if not isinstance(SCREAMING_SNAKE_CASE_	,       SCREAMING_SNAKE_CASE_      ):
								A__        =			F'a bytes-like object is required, not \'{data.__class__.__name__}\''
								raise TypeError(SCREAMING_SNAKE_CASE_      )

				A__        =			"".join(bin(SCREAMING_SNAKE_CASE_      )[2:].zfill(8      ) for byte in data      )

				A__        =			len(SCREAMING_SNAKE_CASE_      ) % 6 != 0

				if padding_needed:
								# The padding that will be added later
								A__        =			b"=" * ((6 - len(SCREAMING_SNAKE_CASE_      ) % 6) // 2)

								# Append binary_stream with arbitrary binary digits (0's by default) to make its
								# length a multiple of 6.
								binary_stream += "0" * (6 - len(SCREAMING_SNAKE_CASE_      ) % 6)
				else:
								A__        =			b""

				# Encode every 6 binary digits to their corresponding Base64 character
				return (
				    "".join(
				        B64_CHARSET[int(binary_stream[index : index + 6]	,       2      )]
				        for index in range(0	,       len(SCREAMING_SNAKE_CASE_      )	,       6      )      ).encode()
				    + padding
				)



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							str      )			->      bytes:




				'''simple docstring'''





				if not isinstance(SCREAMING_SNAKE_CASE_	,       SCREAMING_SNAKE_CASE_      ) and not isinstance(SCREAMING_SNAKE_CASE_	,       SCREAMING_SNAKE_CASE_      ):
								A__        =			(
								    "argument should be a bytes-like object or ASCII string, "
								    F'not \'{encoded_data.__class__.__name__}\''
								)
								raise TypeError(SCREAMING_SNAKE_CASE_      )

				# In case encoded_data is a bytes-like object, make sure it contains only
				# ASCII characters so we convert it to a string object
				if isinstance(SCREAMING_SNAKE_CASE_	,       SCREAMING_SNAKE_CASE_      ):
								try:
												A__        =			encoded_data.decode("utf-8"      )
								except UnicodeDecodeError:
												raise ValueError("base64 encoded data should only contain ASCII characters"      )

				A__        =			encoded_data.count("="      )

				# Check if the encoded string contains non base64 characters
				if padding:
								assert all(
								    char in B64_CHARSET for char in encoded_data[:-padding]      ), "Invalid base64 character(s) found."
				else:
								assert all(
								    char in B64_CHARSET for char in encoded_data      ), "Invalid base64 character(s) found."

				# Check the padding
				assert len(SCREAMING_SNAKE_CASE_      ) % 4 == 0 and padding < 3, "Incorrect padding"

				if padding:
								# Remove padding if there is one
								A__        =			encoded_data[:-padding]

								A__        =			"".join(
								    bin(B64_CHARSET.index(SCREAMING_SNAKE_CASE_      )      )[2:].zfill(6      ) for char in encoded_data      )[: -padding * 2]
				else:
								A__        =			"".join(
								    bin(B64_CHARSET.index(SCREAMING_SNAKE_CASE_      )      )[2:].zfill(6      ) for char in encoded_data      )

				A__        =			[
				    int(binary_stream[index : index + 8]	,       2      )
				    for index in range(0	,       len(SCREAMING_SNAKE_CASE_      )	,       8      )
				]

				return bytes(SCREAMING_SNAKE_CASE_      )


if __name__ == "__main__":
	import doctest

	doctest.testmod()

