

'''simple docstring'''

import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
    from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


A_       						=							get_tests_dir("fixtures/test_sentencepiece.model")

A_       						=							{"target_lang": "fi", "source_lang": "en"}
A_       						=							">>zh<<"
A_       						=							"Helsinki-NLP/"

if is_torch_available():
    A_       						=							"pt"
elif is_tf_available():
    A_       						=							"tf"
else:
    A_       						=							"jax"





@require_sentencepiece
class 							_snake_case (       _a	,  unittest.TestCase						):
   _A       :     Any       =					MarianTokenizer
   _A       :     int       =					False
   _A       :     Union[str, Any]       =					True
   def     __UpperCamelCase						( self			:      Union[str, Any]							):
     super().setUp()
     SCREAMING_SNAKE_CASE:Any						      =					["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					dict(zip(SCREAMING_SNAKE_CASE__     ,range(len(SCREAMING_SNAKE_CASE__							)							)							)							)
     SCREAMING_SNAKE_CASE:str						      =					Path(self.tmpdirname							)
     save_json(SCREAMING_SNAKE_CASE__     ,save_dir / VOCAB_FILES_NAMES["vocab"]							)
     save_json(SCREAMING_SNAKE_CASE__     ,save_dir / VOCAB_FILES_NAMES["tokenizer_config_file"]							)
     if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
       copyfile(SCREAMING_SNAKE_CASE__     ,save_dir / VOCAB_FILES_NAMES["source_spm"]							)
       copyfile(SCREAMING_SNAKE_CASE__     ,save_dir / VOCAB_FILES_NAMES["target_spm"]							)

     SCREAMING_SNAKE_CASE:Dict						      =					MarianTokenizer.from_pretrained(self.tmpdirname							)
     tokenizer.save_pretrained(self.tmpdirname							)
   def     __UpperCamelCase						( self			:      Any     ,**SCREAMING_SNAKE_CASE__			:      List[str]							):
     return MarianTokenizer.from_pretrained(self.tmpdirname     ,**SCREAMING_SNAKE_CASE__							)
   def     __UpperCamelCase						( self			:      Union[str, Any]     ,SCREAMING_SNAKE_CASE__			:      List[Any]							):
     return (
         "This is a test",
         "This is a test",
     )
   def     __UpperCamelCase						( self			:      Dict							):
     SCREAMING_SNAKE_CASE:Optional[int]						      =					"</s>"
     SCREAMING_SNAKE_CASE:Tuple						      =					0

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

     self.assertEqual(vocab_keys[0]     ,"</s>"							)
     self.assertEqual(vocab_keys[1]     ,"<unk>"							)
     self.assertEqual(vocab_keys[-1]     ,"<pad>"							)
     self.assertEqual(len(SCREAMING_SNAKE_CASE__							)     ,9							)
   def     __UpperCamelCase						( self			:      int							):
     self.assertEqual(self.get_tokenizer().vocab_size     ,9							)
   def     __UpperCamelCase						( self			:      List[str]							):
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					MarianTokenizer.from_pretrained(F'''{ORG_NAME}opus-mt-en-de'''							)
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					en_de_tokenizer(["I am a small frog"]     ,return_tensors=SCREAMING_SNAKE_CASE__							)
     self.assertIsInstance(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)
     SCREAMING_SNAKE_CASE:Any						      =					[38, 121, 14, 697, 38_848, 0]
     self.assertListEqual(SCREAMING_SNAKE_CASE__     ,batch.input_ids[0]							)

     SCREAMING_SNAKE_CASE:Tuple						      =					tempfile.mkdtemp()
     en_de_tokenizer.save_pretrained(SCREAMING_SNAKE_CASE__							)
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					[x.name for x in Path(SCREAMING_SNAKE_CASE__							).glob("*"							)]
     self.assertIn("source.spm"     ,SCREAMING_SNAKE_CASE__							)
     MarianTokenizer.from_pretrained(SCREAMING_SNAKE_CASE__							)
   def     __UpperCamelCase						( self			:      Dict							):
     SCREAMING_SNAKE_CASE:List[Any]						      =					self.get_tokenizer()

     SCREAMING_SNAKE_CASE:Dict						      =					tok(
         ["I am a small frog" * 1_000, "I am a small frog"]     ,padding=SCREAMING_SNAKE_CASE__     ,truncation=SCREAMING_SNAKE_CASE__     ,return_tensors=SCREAMING_SNAKE_CASE__							)
     self.assertIsInstance(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)
     self.assertEqual(batch.input_ids.shape     ,(2, 512)							)
   def     __UpperCamelCase						( self			:      Optional[int]							):
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					self.get_tokenizer()
     SCREAMING_SNAKE_CASE:Tuple						      =					tok(["I am a tiny frog", "I am a small frog"]     ,padding=SCREAMING_SNAKE_CASE__     ,return_tensors=SCREAMING_SNAKE_CASE__							)
     self.assertIsInstance(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)
     self.assertEqual(batch_smaller.input_ids.shape     ,(2, 10)							)
   @slow
   def     __UpperCamelCase						( self			:      str							):
     # fmt: off
     SCREAMING_SNAKE_CASE:List[str]						      =					{"input_ids": [[43_495, 462, 20, 42_164, 1_369, 52, 464, 132, 1_703, 492, 13, 7_491, 38_999, 6, 8, 464, 132, 1_703, 492, 13, 4_669, 37_867, 13, 7_525, 27, 1_593, 988, 13, 33_972, 7_029, 6, 20, 8_251, 383, 2, 270, 5_866, 3_788, 2, 2_353, 8_251, 12_338, 2, 13_958, 387, 2, 3_629, 6_953, 188, 2_900, 2, 13_958, 8_011, 11_501, 23, 8_460, 4_073, 34_009, 20, 435, 11_439, 27, 8, 8_460, 4_073, 6_004, 20, 9_988, 375, 27, 33, 266, 1_945, 1_076, 1_350, 37_867, 3_288, 5, 577, 1_076, 4_374, 8, 5_082, 5, 26_453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10_767, 6, 316, 304, 4_239, 3, 0], [148, 15_722, 19, 1_839, 12, 1_350, 13, 22_327, 5_082, 5_418, 47_567, 35_938, 59, 318, 19_552, 108, 2_183, 54, 14_976, 4_835, 32, 547, 1_114, 8, 315, 2_417, 5, 92, 19_088, 3, 0, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100], [36, 6_395, 12_570, 39_147, 11_597, 6, 266, 4, 45_405, 7_296, 3, 0, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100]], "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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
     # fmt: on

     self.tokenizer_integration_test_util(
         expected_encoding=SCREAMING_SNAKE_CASE__     ,model_name="Helsinki-NLP/opus-mt-en-de"     ,revision="1a8c2263da11e68e50938f97e10cd57820bd504c"     ,decode_kwargs={"use_source_tokenizer": True}     ,)







   def     __UpperCamelCase						( self			:      List[str]							):
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs"							)

     SCREAMING_SNAKE_CASE:int						      =					"Tämä on testi"
     SCREAMING_SNAKE_CASE:str						      =					"This is a test"

     SCREAMING_SNAKE_CASE:int						      =					[76, 7, 2_047, 2]
     SCREAMING_SNAKE_CASE:Dict						      =					[69, 12, 11, 940, 2]

     SCREAMING_SNAKE_CASE:Optional[Any]						      =					tokenizer(SCREAMING_SNAKE_CASE__							).input_ids
     self.assertListEqual(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)

     SCREAMING_SNAKE_CASE:Dict						      =					tokenizer(text_target=SCREAMING_SNAKE_CASE__							).input_ids
     self.assertListEqual(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)

     SCREAMING_SNAKE_CASE:Dict						      =					tokenizer.decode(SCREAMING_SNAKE_CASE__     ,skip_special_tokens=SCREAMING_SNAKE_CASE__							)
     self.assertEqual(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)









'''simple docstring'''

import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
A_       						=							[
    "kernels/rwkv/wkv_cuda.cu",
    "kernels/rwkv/wkv_op.cpp",
    "kernels/deformable_detr/ms_deform_attn.h",
    "kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh",
    "models/graphormer/algos_graphormer.pyx",
]





def    A_  ( snake_case ):
  # Test all the extensions added in the setup
  for file in FILES_TO_FIND:
    if not (transformers_path / file).exists():
      return False
  return True


if __name__ == "__main__":
    A_       						=							argparse.ArgumentParser()
    parser.add_argument("--check_lib", action="store_true", help="Whether to check the build or the actual package.")
    A_       						=							parser.parse_args()
    if args.check_lib:
        A_       						=							importlib.import_module("transformers")
        A_       						=							Path(transformers_module.__file__).parent
    else:
        A_       						=							Path.cwd() / "build/lib/transformers"
    if not test_custom_files_are_present(transformers_path):
        raise ValueError("The built release does not contain the custom files. Fix this before going further!")






