


'''simple docstring'''



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_80_22
__A	=12_80_28


@require_sentencepiece
class 		_snake_case					(     a__       ,   unittest.TestCase	):
     lowerCAmelCase      :Optional[int]   =					MaMaaaTokenizer
     lowerCAmelCase      :List[Any]   =					False
     lowerCAmelCase      :List[str]   =					False
     lowerCAmelCase      :Optional[Any]   =					True




     def 				snake_case__						(      self):
        super().setUp()

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

        UpperCAmelCase__  :					Optional[Any]        =     MaMaaaTokenizer.from_pretrained(self.tmpdirname)
        tokenizer.save_pretrained(self.tmpdirname)




     def 				snake_case__						(      self							,							**_lowerCamelCase):
        return MaMaaaTokenizer.from_pretrained(self.tmpdirname							,							**_lowerCamelCase)




     def 				snake_case__						(      self							,							_lowerCamelCase):
        return (
            "This is a test",
            "This is a test",
        )




     def 				snake_case__						(      self):
        UpperCAmelCase__  :					List[str]        =     """</s>"""
        UpperCAmelCase__  :					int        =     0

        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):
        UpperCAmelCase__  :					Any        =     self.get_tokenizer()
        UpperCAmelCase__  :					int        =     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(_lowerCamelCase)							,							tokenizer.vocab_size + len(tokenizer.get_added_vocab()))




     @unittest.skip("""Skip this test while all models are still to be uploaded.""")
     def 				snake_case__						(      self):
        pass




     def 				snake_case__						(      self):
        UpperCAmelCase__  :					Union[str, Any]        =     self.get_tokenizer()

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

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

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

        UpperCAmelCase__  :					str        =     tokenizer.convert_tokens_to_string(_lowerCamelCase)
        self.assertEqual(_lowerCamelCase							,							"""This is a test""")




     @slow
     def 				snake_case__						(      self):
        # fmt: off
        UpperCAmelCase__  :					Optional[int]        =     {"""input_ids""": [[12_8022, 11_0108, 397, 11, 3_8272, 2247, 12_4811, 285, 1_8105, 1586, 207, 7, 3_9534, 4428, 397, 1019, 1_8105, 1586, 207, 7, 4_1337, 1_6786, 241, 7, 2_0214, 17, 12_5690, 1_0398, 7, 4_4378, 5_8069, 6_8342, 7798, 7343, 11, 299, 3_3310, 4, 158, 3_7350, 9_4077, 4569, 299, 3_3310, 90, 4, 5_2840, 290, 4, 3_1270, 112, 299, 682, 4, 5_2840, 3_9953, 1_4079, 193, 5_2519, 9_0894, 1_7894, 12_0697, 11, 4_0445, 551, 17, 1019, 5_2519, 9_0894, 1_7756, 963, 11, 4_0445, 480, 17, 9792, 1120, 5173, 1393, 6240, 1_6786, 241, 12_0996, 28, 1245, 1393, 11_8240, 1_1123, 1019, 9_3612, 2691, 1_0618, 9_8058, 12_0409, 1928, 279, 4, 4_0683, 367, 178, 207, 1019, 103, 10_3121, 506, 6_5296, 5, 2], [12_8022, 2_1217, 367, 117, 12_5450, 128, 719, 7, 7308, 40, 9_3612, 1_2669, 1116, 1_6704, 71, 1_7785, 3699, 1_5592, 35, 144, 9584, 241, 1_1943, 713, 950, 799, 2247, 8_8427, 150, 149, 11_8813, 12_0706, 1019, 10_6906, 8_1518, 28, 1224, 2_2799, 397, 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_8022, 1658, 12_3311, 5155, 5578, 4722, 279, 1_4947, 2366, 1120, 1197, 14, 1348, 9232, 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=_lowerCamelCase							,							model_name="""facebook/m2m100_418M"""							,							revision="""c168bae485c864188cf9aa0e4108b0b6934dc91e"""							,							)


@require_torch
@require_sentencepiece
@require_tokenizers
class 		_snake_case					(     unittest.TestCase	):
     lowerCAmelCase      :Union[str, Any]   =					'''facebook/m2m100_418M'''
     lowerCAmelCase      :int   =					[
         '''In my opinion, there are two levels of response from the French government.''',
         '''NSA Affair Emphasizes Complete Lack of Debate on Intelligence''',
     ]
     lowerCAmelCase      :Union[str, Any]   =					[
         '''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
     lowerCAmelCase      :List[Any]   =					[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 				snake_case__						(      cls):
        UpperCAmelCase__  :					MaMaaaTokenizer        =     MaMaaaTokenizer.from_pretrained(
            cls.checkpoint_name							,							src_lang="""en"""							,							tgt_lang="""fr""")
        UpperCAmelCase__  :					Optional[Any]        =     1
        return cls




     def 				snake_case__						(      self):
        self.assertEqual(self.tokenizer.get_lang_id("""ar""")							,							12_8006)
        self.assertEqual(self.tokenizer.get_lang_id("""en""")							,							12_8022)
        self.assertEqual(self.tokenizer.get_lang_id("""ro""")							,							12_8076)
        self.assertEqual(self.tokenizer.get_lang_id("""mr""")							,							12_8063)




     def 				snake_case__						(      self):
        UpperCAmelCase__  :					str        =     self.tokenizer.get_vocab()
        self.assertEqual(len(_lowerCamelCase)							,							self.tokenizer.vocab_size)
        self.assertEqual(vocab["""<unk>"""]							,							3)
        self.assertIn(self.tokenizer.get_lang_token("""en""")							,							_lowerCamelCase)




     def 				snake_case__						(      self):
        UpperCAmelCase__  :					int        =     """en"""
        UpperCAmelCase__  :					Union[str, Any]        =     self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
        self.assertListEqual(self.expected_src_tokens							,							_lowerCamelCase)




     def 				snake_case__						(      self):
        self.assertIn(_lowerCamelCase							,							self.tokenizer.all_special_ids)
        # fmt: off
        UpperCAmelCase__  :					Dict        =     [FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 1_4028, 136, 3286, 9706, 6, 9_0797, 6, 14_4012, 162, 8_8128, 3_0061, 5, 2]
        # fmt: on
        UpperCAmelCase__  :					Optional[int]        =     self.tokenizer.decode(_lowerCamelCase							,							skip_special_tokens=_lowerCamelCase)
        UpperCAmelCase__  :					List[Any]        =     self.tokenizer.decode(generated_ids[1:]							,							skip_special_tokens=_lowerCamelCase)
        self.assertEqual(_lowerCamelCase							,							_lowerCamelCase)
        self.assertNotIn(self.tokenizer.eos_token							,							_lowerCamelCase)




     def 				snake_case__						(      self):
        UpperCAmelCase__  :					str        =     tempfile.mkdtemp()
        UpperCAmelCase__  :					Optional[Any]        =     self.tokenizer.lang_token_to_id
        self.tokenizer.save_pretrained(_lowerCamelCase)
        UpperCAmelCase__  :					int        =     MaMaaaTokenizer.from_pretrained(_lowerCamelCase)
        self.assertDictEqual(new_tok.lang_token_to_id							,							_lowerCamelCase)




     @require_torch
     def 				snake_case__						(      self):
        UpperCAmelCase__  :					Dict        =     """en"""
        UpperCAmelCase__  :					Optional[Any]        =     """fr"""

        UpperCAmelCase__  :					int        =     self.tokenizer(self.src_text							,							text_target=self.tgt_text							,							padding=_lowerCamelCase							,							return_tensors="""pt""")

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

        for k in batch:
           UpperCAmelCase__  :					Dict        =     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 				snake_case__						(      self):
        UpperCAmelCase__  :					List[Any]        =     """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__  :					List[Any]        =     """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 				snake_case__						(      self):
        UpperCAmelCase__  :					Dict        =     """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__  :					int        =     """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 				snake_case__						(      self):
        UpperCAmelCase__  :					str        =     self.tokenizer._build_translation_inputs("""A test"""							,							return_tensors="""pt"""							,							src_lang="""en"""							,							tgt_lang="""ar""")

        self.assertEqual(
            nested_simplify(_lowerCamelCase)							,							{
                # en_XX, A, test, EOS
                """input_ids""": [[12_8022, 58, 4183, 2]],
                """attention_mask""": [[1, 1, 1, 1]],
                # ar_AR
                """forced_bos_token_id""": 12_8006,
            }							,							)



'''simple docstring'''



from collections.abc import Callable
from math import pi, sqrt
from random import uniform
from statistics import mean







def     _UpperCamelCase      (		UpperCamelCase__					):

			# A local function to see if a dot lands in the circle.
			def is_in_circle(UpperCamelCase__ ,      UpperCamelCase__					) -> bool:
						UpperCAmelCase__  :					List[str]        =     sqrt((x**2) + (y**2)					)
						# Our circle has a radius of 1, so a distance
						# greater than 1 would land outside the circle.
						return distance_from_centre <= 1

			# The proportion of guesses that landed in the circle
			UpperCAmelCase__  :					Optional[Any]        =     mean(
			    int(is_in_circle(uniform(-1.0 ,      1.0					) ,      uniform(-1.0 ,      1.0					)					)					)
			    for _ in range(UpperCamelCase__					)					)
			# The ratio of the area for circle to square is pi/4.
			UpperCAmelCase__  :					int        =     proportion * 4
			print(f'''The estimated value of pi is {pi_estimate}'''					)
			print(f'''The numpy value of pi is {pi}'''					)
			print(f'''The total error is {abs(pi - pi_estimate					)}'''					)







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__ = 0.0 ,      UpperCamelCase__ = 1.0 ,      ):
			return mean(
			    function_to_integrate(uniform(UpperCamelCase__ ,      UpperCamelCase__					)					) for _ in range(UpperCamelCase__					)					) * (max_value - min_value)







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__ = 0.0 ,      UpperCamelCase__ = 1.0					):

			def identity_function(UpperCamelCase__					) -> float:
						return x

			UpperCAmelCase__  :					List[str]        =     area_under_curve_estimator(
			    UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					)
			UpperCAmelCase__  :					Optional[int]        =     (max_value * max_value - min_value * min_value) / 2

			print("""******************"""					)
			print(f'''Estimating area under y=x where x varies from {min_value} to {max_value}'''					)
			print(f'''Estimated value is {estimated_value}'''					)
			print(f'''Expected value is {expected_value}'''					)
			print(f'''Total error is {abs(estimated_value - expected_value					)}'''					)
			print("""******************"""					)







def     _UpperCamelCase      (		UpperCamelCase__					):

			def function_to_integrate(UpperCamelCase__					) -> float:
						return sqrt(4.0 - x * x					)

			UpperCAmelCase__  :					Dict        =     area_under_curve_estimator(
			    UpperCamelCase__ ,      UpperCamelCase__ ,      0.0 ,      2.0					)

			print("""******************"""					)
			print("""Estimating pi using area_under_curve_estimator"""					)
			print(f'''Estimated value is {estimated_value}'''					)
			print(f'''Expected value is {pi}'''					)
			print(f'''Total error is {abs(estimated_value - pi					)}'''					)
			print("""******************"""					)


if __name__ == "__main__":
		import doctest

		doctest.testmod()