


"""simple docstring"""






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


UpperCamelCase__				:str			   =	get_tests_dir("""fixtures/test_sentencepiece.model""")






@require_sentencepiece
@require_tokenizers
class      A(  lowerCamelCase__				,							unittest.TestCase		):

		"""simple docstring"""





		A    =							XGLMTokenizer
		A    =							XGLMTokenizerFast
		A    =							True
		A    =							True
		def   _UpperCamelCase( self   )      ->	List[Any]:

					"""simple docstring"""



					super().setUp()

					# We have a SentencePiece fixture for testing
					_UpperCamelCase					:Any					     =	XGLMTokenizer(SCREAMING_SNAKE_CASE__					,				keep_accents=SCREAMING_SNAKE_CASE__   )
					tokenizer.save_pretrained(self.tmpdirname   )
		def   _UpperCamelCase( self   )      ->	str:

					"""simple docstring"""



					_UpperCamelCase					:Dict					     =	'''<pad>'''
					_UpperCamelCase					:Union[str, Any]					     =	1

					self.assertEqual(self.get_tokenizer()._convert_token_to_id(SCREAMING_SNAKE_CASE__   )					,				SCREAMING_SNAKE_CASE__   )
					self.assertEqual(self.get_tokenizer()._convert_id_to_token(SCREAMING_SNAKE_CASE__   )					,				SCREAMING_SNAKE_CASE__   )
		def   _UpperCamelCase( self   )      ->	Union[str, Any]:

					"""simple docstring"""



					_UpperCamelCase					:List[str]					     =	list(self.get_tokenizer().get_vocab().keys()   )

					self.assertEqual(vocab_keys[0]					,				'''<s>'''   )
					self.assertEqual(vocab_keys[1]					,				'''<pad>'''   )
					self.assertEqual(len(SCREAMING_SNAKE_CASE__   )					,				10_08   )
		def   _UpperCamelCase( self   )      ->	Tuple:

					"""simple docstring"""



					self.assertEqual(self.get_tokenizer().vocab_size					,				10_08   )
		def   _UpperCamelCase( self   )      ->	List[str]:

					"""simple docstring"""



					_UpperCamelCase					:Dict					     =	XGLMTokenizer(SCREAMING_SNAKE_CASE__					,				keep_accents=SCREAMING_SNAKE_CASE__   )

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

					self.assertListEqual(
					    tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )					,				[value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]					,				)

					_UpperCamelCase					:List[Any]					     =	tokenizer.tokenize('''I was born in 92000, and this is falsé.'''   )
					self.assertListEqual(
					    SCREAMING_SNAKE_CASE__					,				[
					        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''',
					        '''.''',
					    ]					,				)
					_UpperCamelCase					:Optional[Any]					     =	tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )
					self.assertListEqual(
					    SCREAMING_SNAKE_CASE__					,				[
					        value + tokenizer.fairseq_offset
					        for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
					    ]					,				)

					_UpperCamelCase					:List[Any]					     =	tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE__   )
					self.assertListEqual(
					    SCREAMING_SNAKE_CASE__					,				[
					        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   )      ->	Optional[Any]:

					"""simple docstring"""



					return XGLMTokenizer.from_pretrained('''facebook/xglm-564M'''   )
		def   _UpperCamelCase( self   )      ->	Tuple:

					"""simple docstring"""



					with tempfile.NamedTemporaryFile() as f:
								shutil.copyfile(SCREAMING_SNAKE_CASE__					,				f.name   )
								_UpperCamelCase					:Tuple					     =	XGLMTokenizer(f.name					,				keep_accents=SCREAMING_SNAKE_CASE__   )
								_UpperCamelCase					:Union[str, Any]					     =	pickle.dumps(SCREAMING_SNAKE_CASE__   )
					pickle.loads(SCREAMING_SNAKE_CASE__   )
		def   _UpperCamelCase( self   )      ->	str:

					"""simple docstring"""



					if not self.test_rust_tokenizer:
								return

					_UpperCamelCase					:List[str]					     =	self.get_tokenizer()
					_UpperCamelCase					:int					     =	self.get_rust_tokenizer()

					_UpperCamelCase					:Union[str, Any]					     =	'''I was born in 92000, and this is falsé.'''

					_UpperCamelCase					:int					     =	tokenizer.tokenize(SCREAMING_SNAKE_CASE__   )
					_UpperCamelCase					:Any					     =	rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE__   )
					self.assertListEqual(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   )

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

					_UpperCamelCase					:Optional[Any]					     =	self.get_rust_tokenizer()
					_UpperCamelCase					:List[Any]					     =	tokenizer.encode(SCREAMING_SNAKE_CASE__   )
					_UpperCamelCase					:Union[str, Any]					     =	rust_tokenizer.encode(SCREAMING_SNAKE_CASE__   )
					self.assertListEqual(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   )
		@slow
		def   _UpperCamelCase( self   )      ->	str:

					"""simple docstring"""



					_UpperCamelCase					:List[str]					     =	'''Hello World!'''
					_UpperCamelCase					:List[str]					     =	[2, 3_12_27, 44_47, 35]

					self.assertListEqual(SCREAMING_SNAKE_CASE__					,				self.big_tokenizer.encode(SCREAMING_SNAKE_CASE__   )   )
		@slow
		def   _UpperCamelCase( self   )      ->	int:

					"""simple docstring"""



					_UpperCamelCase					:Optional[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
					_UpperCamelCase					:Union[str, Any]					     =	[2, 10_18, 67, 11, 19_88, 26_17, 56_31, 2_78, 11, 34_07, 48, 7_16_30, 2_80_85, 4, 32_34, 1_57, 13, 6, 5, 6, 4, 35_26, 7_68, 15, 6_59, 57, 2_98, 39_83, 8_64, 1_29, 21, 6, 5, 1_36_75, 3_77, 6_52, 75_80, 1_03_41, 1_55, 28_17, 4_22, 16_66, 7, 16_74, 53, 1_13, 20_22_77, 1_78_92, 33, 60, 87, 4, 32_34, 1_57, 61, 26_67, 5_23_76, 19, 88, 23, 7_35]
					# fmt: on

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





		@slow
		def   _UpperCamelCase( self   )      ->	Dict:

					"""simple docstring"""



					_UpperCamelCase					:str					     =	{
					    '''input_ids''': [[2, 10_88_25, 11_63, 15, 8_80_10, 4_73, 1_58_98, 1_57, 1_36_72, 18_57, 3_12, 8, 23_80_21, 11_63, 53, 1_36_72, 18_57, 3_12, 8, 5_32_83, 18_23_96, 8, 1_85_66, 16, 3_67_33, 41_01, 8, 2_30, 24_40_17, 12_25_53, 7, 15, 13_25_97, 4, 2_93, 1_25_11, 76_10, 4, 34_14, 13_25_97, 9, 4, 3_23_61, 3_62, 4, 7_34, 2_85_12, 3_25_69, 18, 4, 3_23_61, 2_60_96, 1_49_82, 73, 1_87_15, 2_14_33, 23_52_61, 15, 4_92, 1_24_27, 16, 53, 1_87_15, 2_14_33, 6_54_54, 15, 2_36_59, 5_63, 16, 2_78, 5_97, 28_43, 5_95, 79_31, 18_23_96, 6_41_86, 22, 8_86, 5_95, 13_29_81, 53, 2_55_40, 34_49, 4_39_82, 3_99_01, 59_51, 8_78, 3_30, 4, 2_76_94, 8_02_69, 3_12, 53, 65_17, 1_17_80, 6_11, 2_04_08, 5], [2, 6, 13_25_97, 67, 4_28_97, 33, 5_92, 8, 16_37_29, 2_55_40, 3_61, 13_69_97, 10_95_14, 17_32_30, 7, 5_01, 60, 10_29_13, 1_96, 56_31, 2_35, 6_32_43, 4_73, 6, 23_17_57, 74, 52_77, 79_05, 53, 30_95, 3_73_17, 22, 4_54, 18_38_74, 5], [2, 2_68, 3_12_98, 4_65_30, 6, 13_29_35, 4_38_31, 7, 5_97, 32, 24, 36_88, 98_65, 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=SCREAMING_SNAKE_CASE__					,				model_name='''facebook/xglm-564M'''					,				padding=SCREAMING_SNAKE_CASE__					,				)





"""simple docstring"""






UpperCamelCase__				:Tuple			   =	frozenset(
    [
        """prompt""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

UpperCamelCase__				:List[str]			   =	frozenset(["""prompt""", """negative_prompt"""])

UpperCamelCase__				:Tuple			   =	frozenset([])

UpperCamelCase__				:Union[str, Any]			   =	frozenset(["""image"""])

UpperCamelCase__				:str			   =	frozenset(
    [
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

UpperCamelCase__				:Any			   =	frozenset(["""image"""])

UpperCamelCase__				:Optional[int]			   =	frozenset(
    [
        """prompt""",
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
    ]
)

UpperCamelCase__				:int			   =	frozenset(["""prompt""", """image""", """negative_prompt"""])

UpperCamelCase__				:Tuple			   =	frozenset(
    [
        # Text guided image variation with an image mask
        """prompt""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
    ]
)

UpperCamelCase__				:Any			   =	frozenset(["""prompt""", """image""", """mask_image""", """negative_prompt"""])

UpperCamelCase__				:Dict			   =	frozenset(
    [
        # image variation with an image mask
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

UpperCamelCase__				:Dict			   =	frozenset(["""image""", """mask_image"""])

UpperCamelCase__				:Tuple			   =	frozenset(
    [
        """example_image""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

UpperCamelCase__				:List[str]			   =	frozenset(["""example_image""", """image""", """mask_image"""])

UpperCamelCase__				:List[str]			   =	frozenset(["""class_labels"""])

UpperCamelCase__				:Union[str, Any]			   =	frozenset(["""class_labels"""])

UpperCamelCase__				:Any			   =	frozenset(["""batch_size"""])

UpperCamelCase__				:Optional[Any]			   =	frozenset([])

UpperCamelCase__				:Optional[Any]			   =	frozenset(["""batch_size"""])

UpperCamelCase__				:Optional[int]			   =	frozenset([])

UpperCamelCase__				:str			   =	frozenset(
    [
        """prompt""",
        """audio_length_in_s""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

UpperCamelCase__				:Union[str, Any]			   =	frozenset(["""prompt""", """negative_prompt"""])
UpperCamelCase__				:Tuple			   =	frozenset(["""input_tokens"""])

UpperCamelCase__				:int			   =	frozenset(["""input_tokens"""])

