


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        __lowercase       (							a_			,							unittest.TestCase  ):



		"""simple docstring"""

		UpperCamelCase     :					Dict			       =		GPTaTokenizer
		UpperCamelCase     :					Any			       =		GPTaTokenizerFast
		UpperCamelCase     :					List[str]			       =		True
		UpperCamelCase     :					Dict			       =		{"add_prefix_space": True}
		UpperCamelCase     :					Union[str, Any]			       =		False







		def 					__A   ( self	)  -> str:







					'''simple docstring'''







					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 					__A   ( self		,      **A	)  -> Optional[Any]:







					'''simple docstring'''







					kwargs.update(self.special_tokens_map	)
					return GPTaTokenizer.from_pretrained(self.tmpdirname		,      **A	)







		def 					__A   ( self		,      **A	)  -> Optional[Any]:







					'''simple docstring'''







					kwargs.update(self.special_tokens_map	)
					return GPTaTokenizerFast.from_pretrained(self.tmpdirname		,      **A	)







		def 					__A   ( self		,      A	)  -> Optional[int]:







					'''simple docstring'''







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







		def 					__A   ( self	)  -> Optional[Any]:







					'''simple docstring'''







					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 					__A   ( self	)  -> Tuple:







					'''simple docstring'''







					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 					__A   ( self		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					pass







		def 					__A   ( self		,      A=15	)  -> Union[str, Any]:







					'''simple docstring'''







					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 					__A   ( self	)  -> Optional[Any]:







					'''simple docstring'''







					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 					__A   ( self	)  -> Tuple:







					'''simple docstring'''







					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 					__A   ( self	)  -> List[str]:







					'''simple docstring'''







					pass







		def 					__A   ( self	)  -> Tuple:







					'''simple docstring'''







					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        __lowercase       (							unittest.TestCase  ):



		"""simple docstring"""

		def 					__A   ( self	)  -> List[Any]:







					'''simple docstring'''







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

					lowerCamelCase    		=  tokenizer.encode(
					    A		,      )
					self.assertEqual(A		,      [2, 2_50, 13_45, 9, 10, 47_58]	)
					tokenizer.save_pretrained("""test_opt"""	)

					lowerCamelCase    		=  AutoTokenizer.from_pretrained("""./test_opt"""	)
					lowerCamelCase    		=  tokenizer.encode(
					    A		,      )
					self.assertEqual(A		,      [2, 2_50, 13_45, 9, 10, 47_58]	)







		def 					__A   ( self	)  -> List[Any]:







					'''simple docstring'''







					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, 2_50, 13_45, 9, 10, 47_58]	)







		@unittest.skip("""This test is failing because of a bug in the fast tokenizer"""	)
		def 					__A   ( self	)  -> str:







					'''simple docstring'''







					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_19_57, 2_50, 13_45, 9, 10, 47_58]	)
					tokenizer.save_pretrained("""./tok"""	)
					lowerCamelCase    		=  AutoTokenizer.from_pretrained("""./tok"""	)
					self.assertTrue(tokenizer.is_fast	)
					lowerCamelCase    		=  tokenizer.encode(
					    A		,      )
					self.assertEqual(A		,      [3_19_57, 2_50, 13_45, 9, 10, 47_58]	)





# Lint as: python3
import itertools
import os
import re


UpperCAmelCase   :    Any     =		re.compile(r"([A-Z]+)([A-Z][a-z])")
UpperCAmelCase   :    Optional[Any]     =		re.compile(r"([a-z\d])([A-Z])")

UpperCAmelCase   :    Optional[Any]     =		re.compile(r"(?<!_)_(?!_)")
UpperCAmelCase   :    Any     =		re.compile(r"(_{2,})")

UpperCAmelCase   :    List[Any]     =		r"^\w+(\.\w+)*$"

UpperCAmelCase   :    Any     =		r"<>:/\|?*"






def 	__lowerCamelCase						(							lowerCamelCase__		:						Tuple      ):





			'''simple docstring'''




			lowerCamelCase    		=  _uppercase_uppercase_re.sub(R"""\1_\2"""  ,							lowerCamelCase__      )
			lowerCamelCase    		=  _lowercase_uppercase_re.sub(R"""\1_\2"""  ,							lowerCamelCase__      )
			return name.lower()






def 	__lowerCamelCase						(							lowerCamelCase__		:						List[str]      ):





			'''simple docstring'''




			lowerCamelCase    		=  _single_underscore_re.split(lowerCamelCase__      )
			lowerCamelCase    		=  [_multiple_underscores_re.split(lowerCamelCase__      ) for n in name]
			return "".join(n.capitalize() for n in itertools.chain.from_iterable(lowerCamelCase__      ) if n != """"""      )






def 	__lowerCamelCase						(							lowerCamelCase__		:						Any      ):





			'''simple docstring'''




			if os.path.basename(lowerCamelCase__      ) != name:
						raise ValueError(f'Should be a dataset name, not a path: {name}'      )
			return camelcase_to_snakecase(lowerCamelCase__      )






def 	__lowerCamelCase						(							lowerCamelCase__		:						List[str]  ,							lowerCamelCase__		:						int      ):





			'''simple docstring'''




			if os.path.basename(lowerCamelCase__      ) != name:
						raise ValueError(f'Should be a dataset name, not a path: {name}'      )
			if not re.match(_split_re  ,							lowerCamelCase__      ):
						raise ValueError(f'Split name should match \'{_split_re}\'\' but got \'{split}\'.'      )
			return f'{filename_prefix_for_name(lowerCamelCase__      )}-{split}'






def 	__lowerCamelCase						(							lowerCamelCase__		:						List[Any]  ,							lowerCamelCase__		:						Optional[Any]  ,							lowerCamelCase__		:						List[Any]  ,							lowerCamelCase__		:						int=None      ):





			'''simple docstring'''




			lowerCamelCase    		=  filename_prefix_for_split(lowerCamelCase__  ,							lowerCamelCase__      )
			if filetype_suffix:
						prefix += f'.{filetype_suffix}'
			lowerCamelCase    		=  os.path.join(lowerCamelCase__  ,							lowerCamelCase__      )
			return f'{filepath}*'






def 	__lowerCamelCase						(							lowerCamelCase__		:						Dict  ,							lowerCamelCase__		:						List[Any]  ,							lowerCamelCase__		:						List[Any]  ,							lowerCamelCase__		:						int=None  ,							lowerCamelCase__		:						str=None      ):





			'''simple docstring'''




			lowerCamelCase    		=  filename_prefix_for_split(lowerCamelCase__  ,							lowerCamelCase__      )
			lowerCamelCase    		=  os.path.join(lowerCamelCase__  ,							lowerCamelCase__      )

			if shard_lengths:
						lowerCamelCase    		=  len(lowerCamelCase__      )
						lowerCamelCase    		=  [f'{prefix}-{shard_id:05d}-of-{num_shards:05d}' for shard_id in range(lowerCamelCase__      )]
						if filetype_suffix:
									lowerCamelCase    		=  [filename + f'.{filetype_suffix}' for filename in filenames]
						return filenames
			else:
						lowerCamelCase    		=  prefix
						if filetype_suffix:
									filename += f'.{filetype_suffix}'
						return [filename]

