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


lowercase_  : Dict								=					get_tests_dir('fixtures/test_sentencepiece.model')






@require_sentencepiece
@require_tokenizers
class 		_lowerCamelCase		( UpperCamelCase_     ,  unittest.TestCase     ):
    __a						=   XGLMTokenizer
    __a						=   XGLMTokenizerFast
    __a						=   True
    __a						=   True
    def     UpperCamelCase_					(	self )							->       Dict:
     super().setUp()

     # We have a SentencePiece fixture for testing
     SCREAMING_SNAKE_CASE__: Union[str, Any]=   XGLMTokenizer(lowerCAmelCase			,			keep_accents=lowerCAmelCase )
     tokenizer.save_pretrained(self.tmpdirname )
    def     UpperCamelCase_					(	self )							->       Dict:
     SCREAMING_SNAKE_CASE__: Tuple=   '''<pad>'''
     SCREAMING_SNAKE_CASE__: Union[str, Any]=   1

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase )			,			lowerCAmelCase )
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase )			,			lowerCAmelCase )
    def     UpperCamelCase_					(	self )							->       Optional[Any]:
     SCREAMING_SNAKE_CASE__: List[Any]=   list(self.get_tokenizer().get_vocab().keys() )

     self.assertEqual(vocab_keys[0]			,			'''<s>''' )
     self.assertEqual(vocab_keys[1]			,			'''<pad>''' )
     self.assertEqual(len(lowerCAmelCase )			,			1008 )
    def     UpperCamelCase_					(	self )							->       Dict:
     self.assertEqual(self.get_tokenizer().vocab_size			,			1008 )
    def     UpperCamelCase_					(	self )							->       List[str]:
     SCREAMING_SNAKE_CASE__: Optional[int]=   XGLMTokenizer(lowerCAmelCase			,			keep_accents=lowerCAmelCase )

     SCREAMING_SNAKE_CASE__: Dict=   tokenizer.tokenize('''This is a test''' )
     self.assertListEqual(lowerCAmelCase			,			['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est'''] )

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

     SCREAMING_SNAKE_CASE__: int=   tokenizer.tokenize('''I was born in 92000, and this is falsé.''' )
     self.assertListEqual(
         lowerCAmelCase			,			[
             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''',
             '''.''',
         ]			,			)
     SCREAMING_SNAKE_CASE__: str=   tokenizer.convert_tokens_to_ids(lowerCAmelCase )
     self.assertListEqual(
         lowerCAmelCase			,			[
             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]
         ]			,			)

     SCREAMING_SNAKE_CASE__: Union[str, Any]=   tokenizer.convert_ids_to_tokens(lowerCAmelCase )
     self.assertListEqual(
         lowerCAmelCase			,			[
             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     UpperCamelCase_					(	self )							->       Union[str, Any]:
     return XGLMTokenizer.from_pretrained('''facebook/xglm-564M''' )
    def     UpperCamelCase_					(	self )							->       List[Any]:
     with tempfile.NamedTemporaryFile() as f:
      shutil.copyfile(lowerCAmelCase			,			f.name )
      SCREAMING_SNAKE_CASE__: str=   XGLMTokenizer(f.name			,			keep_accents=lowerCAmelCase )
      SCREAMING_SNAKE_CASE__: Dict=   pickle.dumps(lowerCAmelCase )
     pickle.loads(lowerCAmelCase )
    def     UpperCamelCase_					(	self )							->       Optional[Any]:
     if not self.test_rust_tokenizer:
      return

     SCREAMING_SNAKE_CASE__: List[Any]=   self.get_tokenizer()
     SCREAMING_SNAKE_CASE__: List[Any]=   self.get_rust_tokenizer()

     SCREAMING_SNAKE_CASE__: List[str]=   '''I was born in 92000, and this is falsé.'''

     SCREAMING_SNAKE_CASE__: Tuple=   tokenizer.tokenize(lowerCAmelCase )
     SCREAMING_SNAKE_CASE__: Tuple=   rust_tokenizer.tokenize(lowerCAmelCase )
     self.assertListEqual(lowerCAmelCase			,			lowerCAmelCase )

     SCREAMING_SNAKE_CASE__: List[Any]=   tokenizer.encode(lowerCAmelCase			,			add_special_tokens=lowerCAmelCase )
     SCREAMING_SNAKE_CASE__: int=   rust_tokenizer.encode(lowerCAmelCase			,			add_special_tokens=lowerCAmelCase )
     self.assertListEqual(lowerCAmelCase			,			lowerCAmelCase )

     SCREAMING_SNAKE_CASE__: str=   self.get_rust_tokenizer()
     SCREAMING_SNAKE_CASE__: int=   tokenizer.encode(lowerCAmelCase )
     SCREAMING_SNAKE_CASE__: List[str]=   rust_tokenizer.encode(lowerCAmelCase )
     self.assertListEqual(lowerCAmelCase			,			lowerCAmelCase )
    @slow
    def     UpperCamelCase_					(	self )							->       Optional[Any]:
     SCREAMING_SNAKE_CASE__: Tuple=   '''Hello World!'''
     SCREAMING_SNAKE_CASE__: Optional[int]=   [2, 31227, 4447, 35]

     self.assertListEqual(lowerCAmelCase			,			self.big_tokenizer.encode(lowerCAmelCase ) )
    @slow
    def     UpperCamelCase_					(	self )							->       int:
     SCREAMING_SNAKE_CASE__: List[Any]=   (
         '''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
     SCREAMING_SNAKE_CASE__: Dict=   [2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
     # fmt: on

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



    @slow
    def     UpperCamelCase_					(	self )							->       str:
     # fmt: off
     SCREAMING_SNAKE_CASE__: Any=   {
         '''input_ids''': [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 7, 597, 32, 24, 3688, 9865, 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=lowerCAmelCase			,			model_name='''facebook/xglm-564M'''			,			padding=lowerCAmelCase			,			)




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_      =     {
    'configuration_instructblip': [
        'INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'InstructBlipConfig',
        'InstructBlipQFormerConfig',
        'InstructBlipVisionConfig',
    ],
    'processing_instructblip': ['InstructBlipProcessor'],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a_      =     [
			    'INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'InstructBlipQFormerModel',
			    'InstructBlipPreTrainedModel',
			    'InstructBlipForConditionalGeneration',
			    'InstructBlipVisionModel',
			]

if TYPE_CHECKING:
			from .configuration_instructblip import (
			    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    InstructBlipConfig,
			    InstructBlipQFormerConfig,
			    InstructBlipVisionConfig,
			)
			from .processing_instructblip import InstructBlipProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_instructblip import (
						    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
						    InstructBlipForConditionalGeneration,
						    InstructBlipPreTrainedModel,
						    InstructBlipQFormerModel,
						    InstructBlipVisionModel,
						)

else:
			import sys

			a_      =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)