




import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_lowerCamelCase	:		List[str]							       =   get_tests_dir("""fixtures/test_sentencepiece.model""")


@require_sentencepiece
@require_tokenizers
class 				UpperCamelCase_    ( UpperCAmelCase__		,					unittest.TestCase     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      XGLMTokenizer
    UpperCAmelCase__							  =      XGLMTokenizerFast
    UpperCAmelCase__							  =      True
    UpperCAmelCase__							  =      True


    def        SCREAMING_SNAKE_CASE							(			self      :	str)						->Dict:





           '''simple docstring'''

           super().setUp()

           # We have a SentencePiece fixture for testing
           A__       =    XGLMTokenizer(UpperCAmelCase__					, keep_accents=UpperCAmelCase__)
           tokenizer.save_pretrained(self.tmpdirname)


    def        SCREAMING_SNAKE_CASE							(			self      :	List[str])						->Tuple:





           '''simple docstring'''

           A__       =    '''<pad>'''
           A__       =    1

           self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCAmelCase__)					, UpperCAmelCase__)
           self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCAmelCase__)					, UpperCAmelCase__)


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





           '''simple docstring'''

           A__       =    list(self.get_tokenizer().get_vocab().keys())

           self.assertEqual(vocab_keys[0]					, '''<s>''')
           self.assertEqual(vocab_keys[1]					, '''<pad>''')
           self.assertEqual(len(UpperCAmelCase__)					, 1_008)


    def        SCREAMING_SNAKE_CASE							(			self      :	Union[str, Any])						->Tuple:





           '''simple docstring'''

           self.assertEqual(self.get_tokenizer().vocab_size					, 1_008)


    def        SCREAMING_SNAKE_CASE							(			self      :	Dict)						->str:





           '''simple docstring'''

           A__       =    XGLMTokenizer(UpperCAmelCase__					, keep_accents=UpperCAmelCase__)

           A__       =    tokenizer.tokenize('''This is a test''')
           self.assertListEqual(UpperCAmelCase__					, ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est'''])

           self.assertListEqual(
               tokenizer.convert_tokens_to_ids(UpperCAmelCase__)					, [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]					, )

           A__       =    tokenizer.tokenize('''I was born in 92000, and this is falsé.''')
           self.assertListEqual(
               UpperCAmelCase__					, [
                   SPIECE_UNDERLINE + '''I''',
                   SPIECE_UNDERLINE + '''was''',
                   SPIECE_UNDERLINE + '''b''',
                   '''or''',
                   '''n''',
                   SPIECE_UNDERLINE + '''in''',
                   SPIECE_UNDERLINE + '''''',
                   '''9''',
                   '''2''',
                   '''0''',
                   '''0''',
                   '''0''',
                   ''',''',
                   SPIECE_UNDERLINE + '''and''',
                   SPIECE_UNDERLINE + '''this''',
                   SPIECE_UNDERLINE + '''is''',
                   SPIECE_UNDERLINE + '''f''',
                   '''al''',
                   '''s''',
                   '''é''',
                   '''.''',
               ]					, )
           A__       =    tokenizer.convert_tokens_to_ids(UpperCAmelCase__)
           self.assertListEqual(
               UpperCAmelCase__					, [
                   value + tokenizer.fairseq_offset
                   for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
               ]					, )

           A__       =    tokenizer.convert_ids_to_tokens(UpperCAmelCase__)
           self.assertListEqual(
               UpperCAmelCase__					, [
                   SPIECE_UNDERLINE + '''I''',
                   SPIECE_UNDERLINE + '''was''',
                   SPIECE_UNDERLINE + '''b''',
                   '''or''',
                   '''n''',
                   SPIECE_UNDERLINE + '''in''',
                   SPIECE_UNDERLINE + '''''',
                   '''<unk>''',
                   '''2''',
                   '''0''',
                   '''0''',
                   '''0''',
                   ''',''',
                   SPIECE_UNDERLINE + '''and''',
                   SPIECE_UNDERLINE + '''this''',
                   SPIECE_UNDERLINE + '''is''',
                   SPIECE_UNDERLINE + '''f''',
                   '''al''',
                   '''s''',
                   '''<unk>''',
                   '''.''',
               ]					, )


    @cached_property
    def        SCREAMING_SNAKE_CASE							(			self      :	List[Any])						->List[Any]:





           '''simple docstring'''

           return XGLMTokenizer.from_pretrained('''facebook/xglm-564M''')


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





           '''simple docstring'''

           with tempfile.NamedTemporaryFile() as f:
                  shutil.copyfile(UpperCAmelCase__					, f.name)
                  A__       =    XGLMTokenizer(f.name					, keep_accents=UpperCAmelCase__)
                  A__       =    pickle.dumps(UpperCAmelCase__)
           pickle.loads(UpperCAmelCase__)


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





           '''simple docstring'''

           if not self.test_rust_tokenizer:
                  return

           A__       =    self.get_tokenizer()
           A__       =    self.get_rust_tokenizer()

           A__       =    '''I was born in 92000, and this is falsé.'''

           A__       =    tokenizer.tokenize(UpperCAmelCase__)
           A__       =    rust_tokenizer.tokenize(UpperCAmelCase__)
           self.assertListEqual(UpperCAmelCase__					, UpperCAmelCase__)

           A__       =    tokenizer.encode(UpperCAmelCase__					, add_special_tokens=UpperCAmelCase__)
           A__       =    rust_tokenizer.encode(UpperCAmelCase__					, add_special_tokens=UpperCAmelCase__)
           self.assertListEqual(UpperCAmelCase__					, UpperCAmelCase__)

           A__       =    self.get_rust_tokenizer()
           A__       =    tokenizer.encode(UpperCAmelCase__)
           A__       =    rust_tokenizer.encode(UpperCAmelCase__)
           self.assertListEqual(UpperCAmelCase__					, UpperCAmelCase__)


    @slow
    def        SCREAMING_SNAKE_CASE							(			self      :	str)						->Optional[int]:





           '''simple docstring'''

           A__       =    '''Hello World!'''
           A__       =    [2, 31_227, 4_447, 35]

           self.assertListEqual(UpperCAmelCase__					, self.big_tokenizer.encode(UpperCAmelCase__))


    @slow
    def        SCREAMING_SNAKE_CASE							(			self      :	int)						->int:





           '''simple docstring'''

           A__       =    (
               '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
               ''' add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth'''
           )
           # fmt: off
           A__       =    [2, 1_018, 67, 11, 1_988, 2_617, 5_631, 278, 11, 3_407, 48, 71_630, 28_085, 4, 3_234, 157, 13, 6, 5, 6, 4, 3_526, 768, 15, 659, 57, 298, 3_983, 864, 129, 21, 6, 5, 13_675, 377, 652, 7_580, 10_341, 155, 2_817, 422, 1_666, 7, 1_674, 53, 113, 202_277, 17_892, 33, 60, 87, 4, 3_234, 157, 61, 2_667, 52_376, 19, 88, 23, 735]
           # fmt: on

           self.assertListEqual(UpperCAmelCase__					, self.big_tokenizer.encode(UpperCAmelCase__))





    @slow
    def        SCREAMING_SNAKE_CASE							(			self      :	Optional[int])						->Dict:





           '''simple docstring'''

           A__       =    {
               '''input_ids''': [[2, 108_825, 1_163, 15, 88_010, 473, 15_898, 157, 13_672, 1_857, 312, 8, 238_021, 1_163, 53, 13_672, 1_857, 312, 8, 53_283, 182_396, 8, 18_566, 16, 36_733, 4_101, 8, 230, 244_017, 122_553, 7, 15, 132_597, 4, 293, 12_511, 7_610, 4, 3_414, 132_597, 9, 4, 32_361, 362, 4, 734, 28_512, 32_569, 18, 4, 32_361, 26_096, 14_982, 73, 18_715, 21_433, 235_261, 15, 492, 12_427, 16, 53, 18_715, 21_433, 65_454, 15, 23_659, 563, 16, 278, 597, 2_843, 595, 7_931, 182_396, 64_186, 22, 886, 595, 132_981, 53, 25_540, 3_449, 43_982, 39_901, 5_951, 878, 330, 4, 27_694, 80_269, 312, 53, 6_517, 11_780, 611, 20_408, 5], [2, 6, 132_597, 67, 42_897, 33, 592, 8, 163_729, 25_540, 361, 136_997, 109_514, 173_230, 7, 501, 60, 102_913, 196, 5_631, 235, 63_243, 473, 6, 231_757, 74, 5_277, 7_905, 53, 3_095, 37_317, 22, 454, 183_874, 5], [2, 268, 31_298, 46_530, 6, 132_935, 43_831, 7, 597, 32, 24, 3_688, 9_865, 5]],
               '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
           }  # noqa: E501
           # fmt: on

           self.tokenizer_integration_test_util(
               expected_encoding=UpperCAmelCase__					, model_name='''facebook/xglm-564M'''					, padding=UpperCAmelCase__					, )








import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase	:		Tuple							       =   logging.get_logger(__name__)

_lowerCamelCase	:		str							       =   {
    """microsoft/git-base""": """https://huggingface.co/microsoft/git-base/resolve/main/config.json""",
}


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      '''git_vision_model'''


    def __init__(			self      :	Any					, UpperCAmelCase__      :	Any=768					, UpperCAmelCase__      :	int=3_072					, UpperCAmelCase__      :	List[str]=12					, UpperCAmelCase__      :	Dict=12					, UpperCAmelCase__      :	Optional[int]=3					, UpperCAmelCase__      :	List[Any]=224					, UpperCAmelCase__      :	Union[str, Any]=16					, UpperCAmelCase__      :	Union[str, Any]="quick_gelu"					, UpperCAmelCase__      :	Dict=1e-5					, UpperCAmelCase__      :	Union[str, Any]=0.0					, UpperCAmelCase__      :	Any=0.02					, **UpperCAmelCase__      :	Any					, )						->Optional[int]:





           '''simple docstring'''

           super().__init__(**UpperCAmelCase__)

           A__       =    hidden_size
           A__       =    intermediate_size
           A__       =    num_hidden_layers
           A__       =    num_attention_heads
           A__       =    num_channels
           A__       =    patch_size
           A__       =    image_size
           A__       =    initializer_range
           A__       =    attention_dropout
           A__       =    layer_norm_eps
           A__       =    hidden_act





    @classmethod
    def        SCREAMING_SNAKE_CASE							(			cls      :	Any					, UpperCAmelCase__      :	Union[str, os.PathLike]					, **UpperCAmelCase__      :	int)						->"PretrainedConfig":





           '''simple docstring'''

           cls._set_token_in_kwargs(UpperCAmelCase__)

           A__ ,							A__       =    cls.get_config_dict(UpperCAmelCase__					, **UpperCAmelCase__)

           # get the vision config dict if we are loading from GITConfig
           if config_dict.get('''model_type''') == "git":
                  A__       =    config_dict['''vision_config''']

           if "model_type" in config_dict and hasattr(cls					, '''model_type''') and config_dict["model_type"] != cls.model_type:
                  logger.warning(
                      f"""You are using a model of type {config_dict["model_type"]} to instantiate a model of type """
                      f"""{cls.model_type}. This is not supported for all configurations of models and can yield errors.""")

           return cls.from_dict(UpperCAmelCase__					, **UpperCAmelCase__)


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      '''git'''


    def __init__(			self      :	Dict					, UpperCAmelCase__      :	Dict=None					, UpperCAmelCase__      :	int=30_522					, UpperCAmelCase__      :	Optional[int]=768					, UpperCAmelCase__      :	Dict=6					, UpperCAmelCase__      :	int=12					, UpperCAmelCase__      :	List[str]=3_072					, UpperCAmelCase__      :	str="gelu"					, UpperCAmelCase__      :	int=0.1					, UpperCAmelCase__      :	Union[str, Any]=0.1					, UpperCAmelCase__      :	List[Any]=1_024					, UpperCAmelCase__      :	List[str]=0.02					, UpperCAmelCase__      :	Any=1e-12					, UpperCAmelCase__      :	Union[str, Any]=0					, UpperCAmelCase__      :	List[Any]="absolute"					, UpperCAmelCase__      :	int=True					, UpperCAmelCase__      :	Any=False					, UpperCAmelCase__      :	int=101					, UpperCAmelCase__      :	Tuple=102					, UpperCAmelCase__      :	Dict=None					, **UpperCAmelCase__      :	List[str]					, )						->Any:





           '''simple docstring'''

           super().__init__(bos_token_id=UpperCAmelCase__					, eos_token_id=UpperCAmelCase__					, pad_token_id=UpperCAmelCase__					, **UpperCAmelCase__)

           if vision_config is None:
                  A__       =    {}
                  logger.info('''vision_config is None. initializing the GitVisionConfig with default values.''')

           A__       =    GitVisionConfig(**UpperCAmelCase__)
           A__       =    vocab_size
           A__       =    hidden_size
           A__       =    num_hidden_layers
           A__       =    num_attention_heads
           A__       =    hidden_act
           A__       =    intermediate_size
           A__       =    hidden_dropout_prob
           A__       =    attention_probs_dropout_prob
           A__       =    max_position_embeddings
           A__       =    initializer_range
           A__       =    layer_norm_eps
           A__       =    position_embedding_type
           A__       =    use_cache
           A__       =    tie_word_embeddings
           A__       =    num_image_with_embedding

           A__       =    bos_token_id
           A__       =    eos_token_id





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





           '''simple docstring'''

           A__       =    copy.deepcopy(self.__dict__)
           A__       =    self.vision_config.to_dict()
           A__       =    self.__class__.model_type
           return output


