



"""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 				lowercase__       (   SCREAMING_SNAKE_CASE    , unittest.TestCase				):
       UpperCamelCase						=					GPTaTokenizer
       UpperCamelCase						=					GPTaTokenizerFast
       UpperCamelCase						=					True
       UpperCamelCase						=					{'''add_prefix_space''': True}
       UpperCamelCase						=					False



       def 					lowercase__    (							self      :  Union[str, Any]   )			->						List[Any]:


             '''simple docstring'''




             super().setUp()

             # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
             UpperCAmelCase_      			=							[
                 "l",
                 "o",
                 "w",
                 "e",
                 "r",
                 "s",
                 "t",
                 "i",
                 "d",
                 "n",
                 "\u0120",
                 "\u0120l",
                 "\u0120n",
                 "\u0120lo",
                 "\u0120low",
                 "er",
                 "\u0120lowest",
                 "\u0120newer",
                 "\u0120wider",
                 "<unk>",
                 "<|endoftext|>",
             ]
             UpperCAmelCase_      			=							dict(zip(_UpperCAmelCase		,    range(len(_UpperCAmelCase   )   )   )   )
             UpperCAmelCase_      			=							["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
             UpperCAmelCase_      			=							{"unk_token": "<unk>"}

             UpperCAmelCase_      			=							os.path.join(self.tmpdirname		,    VOCAB_FILES_NAMES["vocab_file"]   )
             UpperCAmelCase_      			=							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(_UpperCAmelCase   ) + "\n"   )
             with open(self.merges_file		,    "w"		,    encoding="utf-8"   ) as fp:
                   fp.write("\n".join(_UpperCAmelCase   )   )



       def 					lowercase__    (							self      :  Dict		,    **_UpperCAmelCase      :  Union[str, Any]   )			->						int:


             '''simple docstring'''




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



       def 					lowercase__    (							self      :  int		,    **_UpperCAmelCase      :  Tuple   )			->						Tuple:


             '''simple docstring'''




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



       def 					lowercase__    (							self      :  Tuple		,    _UpperCAmelCase      :  Optional[int]   )			->						List[str]:


             '''simple docstring'''




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



       def 					lowercase__    (							self      :  Tuple   )			->						List[Any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							GPTaTokenizer(self.vocab_file		,    self.merges_file		,    **self.special_tokens_map   )
             UpperCAmelCase_      			=							"lower newer"
             UpperCAmelCase_      			=							["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
             UpperCAmelCase_      			=							tokenizer.tokenize(_UpperCAmelCase		,    add_prefix_space=_UpperCAmelCase   )
             self.assertListEqual(_UpperCAmelCase		,    _UpperCAmelCase   )

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



       def 					lowercase__    (							self      :  Optional[int]   )			->						Tuple:


             '''simple docstring'''




             if not self.test_rust_tokenizer:
                   return

             UpperCAmelCase_      			=							self.get_tokenizer()
             UpperCAmelCase_      			=							self.get_rust_tokenizer(add_prefix_space=_UpperCAmelCase   )

             UpperCAmelCase_      			=							"lower newer"

             # Testing tokenization
             UpperCAmelCase_      			=							tokenizer.tokenize(_UpperCAmelCase		,    add_prefix_space=_UpperCAmelCase   )
             UpperCAmelCase_      			=							rust_tokenizer.tokenize(_UpperCAmelCase   )
             self.assertListEqual(_UpperCAmelCase		,    _UpperCAmelCase   )

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

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

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



       def 					lowercase__    (							self      :  Any		,    *_UpperCAmelCase      :  Tuple		,    **_UpperCAmelCase      :  List[str]   )			->						Union[str, Any]:


             '''simple docstring'''




             pass



       def 					lowercase__    (							self      :  Any		,    _UpperCAmelCase      :  str=15   )			->						Tuple:


             '''simple docstring'''




             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""   ):
                         UpperCAmelCase_      			=							self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase		,    **_UpperCAmelCase   )

                         # Simple input
                         UpperCAmelCase_      			=							"This is a simple input"
                         UpperCAmelCase_      			=							["This is a simple input 1", "This is a simple input 2"]
                         UpperCAmelCase_      			=							("This is a simple input", "This is a pair")
                         UpperCAmelCase_      			=							[
                             ("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(_UpperCAmelCase		,    tokenizer_r.encode		,    _UpperCAmelCase		,    max_length=_UpperCAmelCase		,    padding="max_length"   )

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

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

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

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

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



       def 					lowercase__    (							self      :  Tuple   )			->						Any:


             '''simple docstring'''




             UpperCAmelCase_      			=							GPTaTokenizer.from_pretrained(self.tmpdirname		,    pad_token="<pad>"   )

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

             UpperCAmelCase_      			=							tokenizer.pad_token_id

             UpperCAmelCase_      			=							tokenizer(_UpperCAmelCase		,    padding="max_length"		,    max_length=30		,    return_tensors="np"   )
             UpperCAmelCase_      			=							tokenizer(_UpperCAmelCase		,    padding=_UpperCAmelCase		,    truncate=_UpperCAmelCase		,    return_tensors="np"   )
             UpperCAmelCase_      			=							tokenizer(*_UpperCAmelCase		,    padding="max_length"		,    max_length=60		,    return_tensors="np"   )
             UpperCAmelCase_      			=							tokenizer(_UpperCAmelCase		,    padding=_UpperCAmelCase		,    truncate=_UpperCAmelCase		,    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 					lowercase__    (							self      :  int   )			->						List[str]:


             '''simple docstring'''




             UpperCAmelCase_      			=							"$$$"
             UpperCAmelCase_      			=							GPTaTokenizer.from_pretrained(self.tmpdirname		,    bos_token=_UpperCAmelCase		,    add_bos_token=_UpperCAmelCase   )

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

             UpperCAmelCase_      			=							tokenizer.bos_token_id

             UpperCAmelCase_      			=							tokenizer(_UpperCAmelCase   )
             UpperCAmelCase_      			=							tokenizer(_UpperCAmelCase   )

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

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

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



       def 					lowercase__    (							self      :  int   )			->						List[str]:


             '''simple docstring'''




             pass







       def 					lowercase__    (							self      :  Optional[int]   )			->						Dict:


             '''simple docstring'''




             UpperCAmelCase_      			=							[self.get_tokenizer(do_lower_case=_UpperCAmelCase		,    add_bos_token=_UpperCAmelCase   )]
             for tokenizer in tokenizers:
                   with self.subTest(F"""{tokenizer.__class__.__name__}"""   ):
                         UpperCAmelCase_      			=							"Encode this."
                         UpperCAmelCase_      			=							"This one too please."
                         UpperCAmelCase_      			=							tokenizer.encode(_UpperCAmelCase		,    add_special_tokens=_UpperCAmelCase   )
                         encoded_sequence += tokenizer.encode(_UpperCAmelCase		,    add_special_tokens=_UpperCAmelCase   )
                         UpperCAmelCase_      			=							tokenizer.encode_plus(
                             _UpperCAmelCase		,    _UpperCAmelCase		,    add_special_tokens=_UpperCAmelCase		,    return_special_tokens_mask=_UpperCAmelCase		,    )
                         UpperCAmelCase_      			=							encoded_sequence_dict["input_ids"]
                         UpperCAmelCase_      			=							encoded_sequence_dict["special_tokens_mask"]
                         self.assertEqual(len(_UpperCAmelCase   )		,    len(_UpperCAmelCase   )   )

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



@require_tokenizers
class 				lowercase__       (   unittest.TestCase				):



       def 					lowercase__    (							self      :  List[Any]   )			->						int:


             '''simple docstring'''




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

             UpperCAmelCase_      			=							tokenizer.encode(
                 _UpperCAmelCase		,    )
             self.assertEqual(_UpperCAmelCase		,    [2, 250, 1345, 9, 10, 4758]   )
             tokenizer.save_pretrained("test_opt"   )

             UpperCAmelCase_      			=							AutoTokenizer.from_pretrained("./test_opt"   )
             UpperCAmelCase_      			=							tokenizer.encode(
                 _UpperCAmelCase		,    )
             self.assertEqual(_UpperCAmelCase		,    [2, 250, 1345, 9, 10, 4758]   )



       def 					lowercase__    (							self      :  Optional[Any]   )			->						Optional[int]:


             '''simple docstring'''




             UpperCAmelCase_      			=							AutoTokenizer.from_pretrained("facebook/opt-350m"		,    use_slow=_UpperCAmelCase   )
             UpperCAmelCase_      			=							"A photo of a cat"

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







       @unittest.skip("This test is failing because of a bug in the fast tokenizer"   )
       def 					lowercase__    (							self      :  Any   )			->						Optional[Any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							AutoTokenizer.from_pretrained("facebook/opt-350m"		,    from_slow=_UpperCAmelCase   )

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

             UpperCAmelCase_      			=							"A photo of a cat"
             UpperCAmelCase_      			=							tokenizer.encode(
                 _UpperCAmelCase		,    )
             # We changed the bos token
             self.assertEqual(_UpperCAmelCase		,    [31957, 250, 1345, 9, 10, 4758]   )
             tokenizer.save_pretrained("./tok"   )
             UpperCAmelCase_      			=							AutoTokenizer.from_pretrained("./tok"   )
             self.assertTrue(tokenizer.is_fast   )
             UpperCAmelCase_      			=							tokenizer.encode(
                 _UpperCAmelCase		,    )
             self.assertEqual(_UpperCAmelCase		,    [31957, 250, 1345, 9, 10, 4758]   )









"""simple docstring"""





from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *




