


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

from transformers import MaMaaaTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)
from transformers.utils import is_sentencepiece_available


if is_sentencepiece_available():
    from transformers.models.mam_aaa.tokenization_mam_aaa import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


if is_sentencepiece_available():
    A      = get_tests_dir("fixtures/test_sentencepiece.model")


if is_torch_available():
    from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

A      = 12_8022
A      = 12_8028


@require_sentencepiece
class     lowercase__  (					__SCREAMING_SNAKE_CASE					,							unittest.TestCase		):
  A__=  MaMaaaTokenizer
  A__=  False
  A__=  False
  A__=  True






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         super().setUp()

         UpperCAmelCase__										=     ["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
         UpperCAmelCase__										=     dict(zip(_lowercase		,						range(len(_lowercase ) ) ) )
         UpperCAmelCase__										=     Path(self.tmpdirname )
         save_json(_lowercase		,						save_dir / VOCAB_FILES_NAMES["vocab_file"] )
         if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
                copyfile(_lowercase		,						save_dir / VOCAB_FILES_NAMES["spm_file"] )

         UpperCAmelCase__										=     MaMaaaTokenizer.from_pretrained(self.tmpdirname )
         tokenizer.save_pretrained(self.tmpdirname )






  def 			_UpperCAmelCase  (					self      :					Optional[Any]		,						**_lowercase      :					Optional[Any] ):




         """simple docstring"""







         return MaMaaaTokenizer.from_pretrained(self.tmpdirname		,						**_lowercase )






  def 			_UpperCAmelCase  (					self      :					Any		,						_lowercase      :					Optional[int] ):




         """simple docstring"""







         return (
             "This is a test",
             "This is a test",
         )






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     "</s>"
         UpperCAmelCase__										=     0

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






  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizer()
         UpperCAmelCase__										=     list(tokenizer.get_vocab().keys() )

         self.assertEqual(vocab_keys[0]		,						"</s>" )
         self.assertEqual(vocab_keys[1]		,						"<unk>" )
         self.assertEqual(vocab_keys[-1]		,						"<s>" )
         self.assertEqual(len(_lowercase )		,						tokenizer.vocab_size + len(tokenizer.get_added_vocab() ) )






  @unittest.skip("Skip this test while all models are still to be uploaded." )
  def 			_UpperCAmelCase  (					self      :					Optional[int] ):




         """simple docstring"""







         pass






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizer()

         UpperCAmelCase__										=     tokenizer.tokenize("This is a test" )
         self.assertListEqual(_lowercase		,						["▁This", "▁is", "▁a", "▁t", "est"] )

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(_lowercase )		,						[2, 3, 4, 5, 6]		,						)

         UpperCAmelCase__										=     tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6] )
         self.assertListEqual(_lowercase		,						["▁This", "▁is", "▁a", "▁t", "est"] )

         UpperCAmelCase__										=     tokenizer.convert_tokens_to_string(_lowercase )
         self.assertEqual(_lowercase		,						"This is a test" )






  @slow
  def 			_UpperCAmelCase  (					self      :					int ):




         """simple docstring"""







         UpperCAmelCase__										=     {"input_ids": [[12_80_22, 11_01_08, 3_97, 11, 3_82_72, 22_47, 12_48_11, 2_85, 1_81_05, 15_86, 2_07, 7, 3_95_34, 44_28, 3_97, 10_19, 1_81_05, 15_86, 2_07, 7, 4_13_37, 1_67_86, 2_41, 7, 2_02_14, 17, 12_56_90, 1_03_98, 7, 4_43_78, 5_80_69, 6_83_42, 77_98, 73_43, 11, 2_99, 3_33_10, 4, 1_58, 3_73_50, 9_40_77, 45_69, 2_99, 3_33_10, 90, 4, 5_28_40, 2_90, 4, 3_12_70, 1_12, 2_99, 6_82, 4, 5_28_40, 3_99_53, 1_40_79, 1_93, 5_25_19, 9_08_94, 1_78_94, 12_06_97, 11, 4_04_45, 5_51, 17, 10_19, 5_25_19, 9_08_94, 1_77_56, 9_63, 11, 4_04_45, 4_80, 17, 97_92, 11_20, 51_73, 13_93, 62_40, 1_67_86, 2_41, 12_09_96, 28, 12_45, 13_93, 11_82_40, 1_11_23, 10_19, 9_36_12, 26_91, 1_06_18, 9_80_58, 12_04_09, 19_28, 2_79, 4, 4_06_83, 3_67, 1_78, 2_07, 10_19, 1_03, 10_31_21, 5_06, 6_52_96, 5, 2], [12_80_22, 2_12_17, 3_67, 1_17, 12_54_50, 1_28, 7_19, 7, 73_08, 40, 9_36_12, 1_26_69, 11_16, 1_67_04, 71, 1_77_85, 36_99, 1_55_92, 35, 1_44, 95_84, 2_41, 1_19_43, 7_13, 9_50, 7_99, 22_47, 8_84_27, 1_50, 1_49, 11_88_13, 12_07_06, 10_19, 10_69_06, 8_15_18, 28, 12_24, 2_27_99, 3_97, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [12_80_22, 16_58, 12_33_11, 51_55, 55_78, 47_22, 2_79, 1_49_47, 23_66, 11_20, 11_97, 14, 13_48, 92_32, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], "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, 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], [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, 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=_lowercase		,						model_name="facebook/m2m100_418M"		,						revision="c168bae485c864188cf9aa0e4108b0b6934dc91e"		,						)




@require_torch
@require_sentencepiece
@require_tokenizers
class     lowercase__  (					unittest.TestCase		):
  A__=  'facebook/m2m100_418M'
  A__=  [
      'In my opinion, there are two levels of response from the French government.',
      'NSA Affair Emphasizes Complete Lack of Debate on Intelligence',
  ]
  A__=  [
      'Selon moi, il y a deux niveaux de réponse de la part du gouvernement français.',
      'L\'affaire NSA souligne l\'absence totale de débat sur le renseignement',
  ]

  # fmt: off
  A__=  [EN_CODE, 593, 1_949, 115_781, 4, 71_586, 4_234, 60_633, 126_233, 432, 123_808, 15_592, 1_197, 117_132, 120_618, 5, 2]






  @classmethod
  def 			_UpperCAmelCase  (					cls      :					Any ):




         """simple docstring"""







         UpperCAmelCase__										=     MaMaaaTokenizer.from_pretrained(
             cls.checkpoint_name		,						src_lang="en"		,						tgt_lang="fr" )
         UpperCAmelCase__										=     1
         return cls






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         self.assertEqual(self.tokenizer.get_lang_id("ar" )		,						12_80_06 )
         self.assertEqual(self.tokenizer.get_lang_id("en" )		,						12_80_22 )
         self.assertEqual(self.tokenizer.get_lang_id("ro" )		,						12_80_76 )
         self.assertEqual(self.tokenizer.get_lang_id("mr" )		,						12_80_63 )






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer.get_vocab()
         self.assertEqual(len(_lowercase )		,						self.tokenizer.vocab_size )
         self.assertEqual(vocab["<unk>"]		,						3 )
         self.assertIn(self.tokenizer.get_lang_token("en" )		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					Optional[int] ):




         """simple docstring"""







         UpperCAmelCase__										=     "en"
         UpperCAmelCase__										=     self.tokenizer.batch_encode_plus(self.src_text ).input_ids[0]
         self.assertListEqual(self.expected_src_tokens		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         self.assertIn(_lowercase		,						self.tokenizer.all_special_ids )
         # fmt: off
         UpperCAmelCase__										=     [FR_CODE, 53_64, 82, 86_42, 4, 2_94, 47, 8, 1_40_28, 1_36, 32_86, 97_06, 6, 9_07_97, 6, 14_40_12, 1_62, 8_81_28, 3_00_61, 5, 2]
         # fmt: on
         UpperCAmelCase__										=     self.tokenizer.decode(_lowercase		,						skip_special_tokens=_lowercase )
         UpperCAmelCase__										=     self.tokenizer.decode(generated_ids[1:]		,						skip_special_tokens=_lowercase )
         self.assertEqual(_lowercase		,						_lowercase )
         self.assertNotIn(self.tokenizer.eos_token		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     tempfile.mkdtemp()
         UpperCAmelCase__										=     self.tokenizer.lang_token_to_id
         self.tokenizer.save_pretrained(_lowercase )
         UpperCAmelCase__										=     MaMaaaTokenizer.from_pretrained(_lowercase )
         self.assertDictEqual(new_tok.lang_token_to_id		,						_lowercase )






  @require_torch
  def 			_UpperCAmelCase  (					self      :					Any ):




         """simple docstring"""







         UpperCAmelCase__										=     "en"
         UpperCAmelCase__										=     "fr"

         UpperCAmelCase__										=     self.tokenizer(self.src_text		,						text_target=self.tgt_text		,						padding=_lowercase		,						return_tensors="pt" )

         UpperCAmelCase__										=     shift_tokens_right(
             batch["labels"]		,						self.tokenizer.pad_token_id		,						self.tokenizer.eos_token_id )

         for k in batch:
                UpperCAmelCase__										=     batch[k].tolist()
         # batch = {k: v.tolist() for k,v in batch.items()}
         # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
         # batch.decoder_inputs_ids[0][0] ==
         assert batch.input_ids[1][0] == EN_CODE
         assert batch.input_ids[1][-1] == 2
         assert batch.labels[1][0] == FR_CODE
         assert batch.labels[1][-1] == 2
         assert batch.decoder_input_ids[1][:2] == [2, FR_CODE]






  @require_torch
  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     "mr"
         self.assertListEqual(self.tokenizer.prefix_tokens		,						[self.tokenizer.get_lang_id("mr" )] )
         self.assertListEqual(self.tokenizer.suffix_tokens		,						[self.tokenizer.eos_token_id] )

         UpperCAmelCase__										=     "zh"
         self.assertListEqual(self.tokenizer.prefix_tokens		,						[self.tokenizer.get_lang_id("zh" )] )
         self.assertListEqual(self.tokenizer.suffix_tokens		,						[self.tokenizer.eos_token_id] )






  @require_torch
  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     "mr"
         self.tokenizer._switch_to_target_mode()
         self.assertListEqual(self.tokenizer.prefix_tokens		,						[self.tokenizer.get_lang_id("mr" )] )
         self.assertListEqual(self.tokenizer.suffix_tokens		,						[self.tokenizer.eos_token_id] )
         self.tokenizer._switch_to_input_mode()
         self.assertListEqual(self.tokenizer.prefix_tokens		,						[self.tokenizer.get_lang_id(self.tokenizer.src_lang )] )

         UpperCAmelCase__										=     "zh"
         self.tokenizer._switch_to_target_mode()
         self.assertListEqual(self.tokenizer.prefix_tokens		,						[self.tokenizer.get_lang_id("zh" )] )
         self.assertListEqual(self.tokenizer.suffix_tokens		,						[self.tokenizer.eos_token_id] )
         self.tokenizer._switch_to_input_mode()
         self.assertListEqual(self.tokenizer.prefix_tokens		,						[self.tokenizer.get_lang_id(self.tokenizer.src_lang )] )






  @require_torch
  def 			_UpperCAmelCase  (					self      :					Optional[int] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer._build_translation_inputs("A test"		,						return_tensors="pt"		,						src_lang="en"		,						tgt_lang="ar" )

         self.assertEqual(
             nested_simplify(_lowercase )		,						{
                 # en_XX, A, test, EOS
                 "input_ids": [[12_80_22, 58, 41_83, 2]],
                 "attention_mask": [[1, 1, 1, 1]],
                 # ar_AR
                 "forced_bos_token_id": 12_80_06,
             }		,						)









from math import atan, cos, radians, sin, tan

from .haversine_distance import haversine_distance

A      = 6378137.0
A      = 6356752.314245
A      = 637_8137





def __UpperCAmelCase       (		__A ,						__A ,						__A ,						__A			)						->					float:



       '''simple docstring'''





       UpperCAmelCase__										=     (AXIS_A - AXIS_B) / AXIS_A
       # Parametric latitudes
       # https://en.wikipedia.org/wiki/Latitude#Parametric_(or_reduced)_latitude
       UpperCAmelCase__										=     atan((1 - flattening) * tan(radians(__A			)			)			)
       UpperCAmelCase__										=     atan((1 - flattening) * tan(radians(__A			)			)			)

       # Compute central angle between two points
       # using haversine theta. sigma =  haversine_distance / equatorial radius
       UpperCAmelCase__										=     haversine_distance(__A ,						__A ,						__A ,						__A			) / EQUATORIAL_RADIUS

       # Intermediate P and Q values
       UpperCAmelCase__										=     (b_lata + b_lata) / 2
       UpperCAmelCase__										=     (b_lata - b_lata) / 2

       # Intermediate X value
       # X = (sigma - sin(sigma)) * sin^2Pcos^2Q / cos^2(sigma/2)
       UpperCAmelCase__										=     (sin(__A			) ** 2) * (cos(__A			) ** 2)
       UpperCAmelCase__										=     cos(sigma / 2			) ** 2
       UpperCAmelCase__										=     (sigma - sin(__A			)) * (x_numerator / x_demonimator)

       # Intermediate Y value
       # Y = (sigma + sin(sigma)) * cos^2Psin^2Q / sin^2(sigma/2)
       UpperCAmelCase__										=     (cos(__A			) ** 2) * (sin(__A			) ** 2)
       UpperCAmelCase__										=     sin(sigma / 2			) ** 2
       UpperCAmelCase__										=     (sigma + sin(__A			)) * (y_numerator / y_denominator)

       return EQUATORIAL_RADIUS * (sigma - ((flattening / 2) * (x_value + y_value)))


if __name__ == "__main__":
    import doctest

    doctest.testmod()





