


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


_snake_case	:						Optional[int]         =							get_tests_dir("fixtures/test_sentencepiece.model")

@require_sentencepiece
@require_tokenizers
class 							a						(_lowerCAmelCase	,							unittest.TestCase ):




							"""simple docstring"""


							__UpperCAmelCase       :				List[str]	    =    XGLMTokenizer
							__UpperCAmelCase       :				Union[str, Any]	    =    XGLMTokenizerFast
							__UpperCAmelCase       :				List[Any]	    =    True
							__UpperCAmelCase       :				Optional[Any]	    =    True

							def        __snake_case   (				self			:    str							)      ->       int:
														super().setUp()

														# We have a SentencePiece fixture for testing
														__snake_case						:     Optional[int]									=  XGLMTokenizer(lowerCamelCase       ,      keep_accents=lowerCamelCase							)
														tokenizer.save_pretrained(self.tmpdirname							)

							def        __snake_case   (				self			:    str							)      ->       List[Any]:
														__snake_case						:     Optional[int]									=  "<pad>"
														__snake_case						:     Optional[int]									=  1

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

							def        __snake_case   (				self			:    int							)      ->       Any:
														__snake_case						:     List[str]									=  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        __snake_case   (				self			:    str							)      ->       Tuple:
														self.assertEqual(self.get_tokenizer().vocab_size       ,      1008							)

							def        __snake_case   (				self			:    Optional[int]							)      ->       Any:
														__snake_case						:     Any									=  XGLMTokenizer(lowerCamelCase       ,      keep_accents=lowerCamelCase							)

														__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]]       ,      )

														__snake_case						:     Dict									=  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",
														        ".",
														    ]       ,      )
														__snake_case						:     Any									=  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]
														    ]       ,      )

														__snake_case						:     Dict									=  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        __snake_case   (				self			:    List[Any]							)      ->       Optional[int]:
														return XGLMTokenizer.from_pretrained("facebook/xglm-564M"							)

							def        __snake_case   (				self			:    Optional[int]							)      ->       Optional[Any]:
														with tempfile.NamedTemporaryFile() as f:
																					shutil.copyfile(lowerCamelCase       ,      f.name							)
																					__snake_case						:     int									=  XGLMTokenizer(f.name       ,      keep_accents=lowerCamelCase							)
																					__snake_case						:     List[str]									=  pickle.dumps(lowerCamelCase							)
														pickle.loads(lowerCamelCase							)

							def        __snake_case   (				self			:    Optional[Any]							)      ->       List[str]:
														if not self.test_rust_tokenizer:
																					return

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

														__snake_case						:     Optional[Any]									=  "I was born in 92000, and this is falsé."

														__snake_case						:     Optional[int]									=  tokenizer.tokenize(lowerCamelCase							)
														__snake_case						:     List[str]									=  rust_tokenizer.tokenize(lowerCamelCase							)
														self.assertListEqual(lowerCamelCase       ,      lowerCamelCase							)

														__snake_case						:     List[Any]									=  tokenizer.encode(lowerCamelCase       ,      add_special_tokens=lowerCamelCase							)
														__snake_case						:     Any									=  rust_tokenizer.encode(lowerCamelCase       ,      add_special_tokens=lowerCamelCase							)
														self.assertListEqual(lowerCamelCase       ,      lowerCamelCase							)

														__snake_case						:     int									=  self.get_rust_tokenizer()
														__snake_case						:     Optional[int]									=  tokenizer.encode(lowerCamelCase							)
														__snake_case						:     List[Any]									=  rust_tokenizer.encode(lowerCamelCase							)
														self.assertListEqual(lowerCamelCase       ,      lowerCamelCase							)

							@slow
							def        __snake_case   (				self			:    Optional[Any]							)      ->       List[str]:
														__snake_case						:     List[str]									=  "Hello World!"
														__snake_case						:     str									=  [2, 31227, 4447, 35]

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

							@slow
							def        __snake_case   (				self			:    Any							)      ->       List[Any]:
														__snake_case						:     Optional[int]									=  (
														    "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
														__snake_case						:     Any									=  [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        __snake_case   (				self			:    str							)      ->       int:
														# fmt: off
														__snake_case						:     List[str]									=  {
														    "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       ,      )






'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__          =  {
    "configuration_clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE__          =  [
     "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
     "ClapModel",
     "ClapPreTrainedModel",
     "ClapTextModel",
     "ClapTextModelWithProjection",
     "ClapAudioModel",
     "ClapAudioModelWithProjection",
 ]
 SCREAMING_SNAKE_CASE__          =  ["ClapFeatureExtractor"]

if TYPE_CHECKING:
 from .configuration_clap import (
     CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
     ClapAudioConfig,
     ClapConfig,
     ClapTextConfig,
 )
 from .processing_clap import ClapProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_clap import ClapFeatureExtractor
  from .modeling_clap import (
      CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
      ClapAudioModel,
      ClapAudioModelWithProjection,
      ClapModel,
      ClapPreTrainedModel,
      ClapTextModel,
      ClapTextModelWithProjection,
  )


else:
 import sys

 SCREAMING_SNAKE_CASE__          =  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




