


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


a					  =     get_tests_dir('fixtures/test_sentencepiece.model')







@require_sentencepiece
@require_tokenizers
class        UpperCamelCase__   (	__magic_name__							,				unittest.TestCase   ):
					__SCREAMING_SNAKE_CASE       :  List[Any]						=   XGLMTokenizer
					__SCREAMING_SNAKE_CASE       :  List[Any]						=   XGLMTokenizerFast
					__SCREAMING_SNAKE_CASE       :  List[Any]						=   True
					__SCREAMING_SNAKE_CASE       :  int						=   True

					def   UpperCAmelCase__       (     self       :   List[Any]       ):






										'''simple docstring'''






										super().setUp()

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

					def   UpperCAmelCase__       (     self       :   Tuple       ):






										'''simple docstring'''






										lowercase_  							=			"""<pad>"""
										lowercase_  							=			1

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

					def   UpperCAmelCase__       (     self       :   str       ):






										'''simple docstring'''






										lowercase_  							=			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   UpperCAmelCase__       (     self       :   int       ):






										'''simple docstring'''






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

					def   UpperCAmelCase__       (     self       :   Tuple       ):






										'''simple docstring'''






										lowercase_  							=			XGLMTokenizer(UpperCamelCase__							,					keep_accents=UpperCamelCase__       )

										lowercase_  							=			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]]							,					)

										lowercase_  							=			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""",
										        """.""",
										    ]							,					)
										lowercase_  							=			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]
										    ]							,					)

										lowercase_  							=			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   UpperCAmelCase__       (     self       :   str       ):






										'''simple docstring'''






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

					def   UpperCAmelCase__       (     self       :   Dict       ):






										'''simple docstring'''






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

					def   UpperCAmelCase__       (     self       :   str       ):






										'''simple docstring'''






										if not self.test_rust_tokenizer:
															return

										lowercase_  							=			self.get_tokenizer()
										lowercase_  							=			self.get_rust_tokenizer()

										lowercase_  							=			"""I was born in 92000, and this is falsé."""

										lowercase_  							=			tokenizer.tokenize(UpperCamelCase__       )
										lowercase_  							=			rust_tokenizer.tokenize(UpperCamelCase__       )
										self.assertListEqual(UpperCamelCase__							,					UpperCamelCase__       )

										lowercase_  							=			tokenizer.encode(UpperCamelCase__							,					add_special_tokens=UpperCamelCase__       )
										lowercase_  							=			rust_tokenizer.encode(UpperCamelCase__							,					add_special_tokens=UpperCamelCase__       )
										self.assertListEqual(UpperCamelCase__							,					UpperCamelCase__       )

										lowercase_  							=			self.get_rust_tokenizer()
										lowercase_  							=			tokenizer.encode(UpperCamelCase__       )
										lowercase_  							=			rust_tokenizer.encode(UpperCamelCase__       )
										self.assertListEqual(UpperCamelCase__							,					UpperCamelCase__       )

					@slow
					def   UpperCAmelCase__       (     self       :   Union[str, Any]       ):






										'''simple docstring'''






										lowercase_  							=			"""Hello World!"""
										lowercase_  							=			[2, 31_227, 4_447, 35]

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

					@slow
					def   UpperCAmelCase__       (     self       :   str       ):






										'''simple docstring'''






										lowercase_  							=			(
										    """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
										lowercase_  							=			[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   UpperCAmelCase__       (     self       :   Any       ):






										'''simple docstring'''






										lowercase_  							=			{
										    """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__							,					)






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


a					  =     {
    'configuration_trocr': ['TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TrOCRConfig'],
    'processing_trocr': ['TrOCRProcessor'],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a					  =     [
							    'TROCR_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'TrOCRForCausalLM',
							    'TrOCRPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
							from .processing_trocr import TrOCRProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
							import sys

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


