
import json
import os
import unittest

from transformers.models.fsmt.tokenization_fsmt import VOCAB_FILES_NAMES, FSMTTokenizer
from transformers.testing_utils import slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


# using a different tiny model than the one used for default params defined in init to ensure proper testing
_A	  =					'''stas/tiny-wmt19-en-ru'''

class 		lowercase_       (       __SCREAMING_SNAKE_CASE							,	unittest.TestCase				):
 A__						:				Any         =    FSMTTokenizer
 A__						:				Optional[int]         =    False

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        UpperCamelCase_							       =       [
            """l""",
            """o""",
            """w""",
            """e""",
            """r""",
            """s""",
            """t""",
            """i""",
            """d""",
            """n""",
            """w</w>""",
            """r</w>""",
            """t</w>""",
            """lo""",
            """low""",
            """er</w>""",
            """low</w>""",
            """lowest</w>""",
            """newer</w>""",
            """wider</w>""",
            """<unk>""",
        ]
        UpperCamelCase_							       =       dict(zip(__UpperCamelCase     ,	range(len(__UpperCamelCase     )     )     )     )
        UpperCamelCase_							       =       ["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

        UpperCamelCase_							       =       ["""en""", """ru"""]
        UpperCamelCase_							       =       {
            """langs""": self.langs,
            """src_vocab_size""": 1_0,
            """tgt_vocab_size""": 2_0,
        }

        UpperCamelCase_							       =       os.path.join(self.tmpdirname     ,	VOCAB_FILES_NAMES["""src_vocab_file"""]     )
        UpperCamelCase_							       =       os.path.join(self.tmpdirname     ,	VOCAB_FILES_NAMES["""tgt_vocab_file"""]     )
        UpperCamelCase_							       =       os.path.join(self.tmpdirname     ,	"""tokenizer_config.json"""     )
        UpperCamelCase_							       =       os.path.join(self.tmpdirname     ,	VOCAB_FILES_NAMES["""merges_file"""]     )
        with open(self.src_vocab_file     ,	"""w"""     ) as fp:
               fp.write(json.dumps(__UpperCamelCase     )     )
        with open(self.tgt_vocab_file     ,	"""w"""     ) as fp:
               fp.write(json.dumps(__UpperCamelCase     )     )
        with open(self.merges_file     ,	"""w"""     ) as fp:
               fp.write("""\n""".join(__UpperCamelCase     )     )
        with open(__UpperCamelCase     ,	"""w"""     ) as fp:
               fp.write(json.dumps(__UpperCamelCase     )     )

 @cached_property
 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        return FSMTTokenizer.from_pretrained("""facebook/wmt19-ru-en"""     )

 @cached_property
 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        return FSMTTokenizer.from_pretrained("""facebook/wmt19-en-ru"""     )

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       FSMTTokenizer.from_pretrained(__UpperCamelCase     )
        self.assertListEqual([tokenizer.src_lang, tokenizer.tgt_lang]     ,	["""en""", """ru"""]     )
        self.assertEqual(tokenizer.src_vocab_size     ,	2_1     )
        self.assertEqual(tokenizer.tgt_vocab_size     ,	2_1     )

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       FSMTTokenizer(self.langs     ,	self.src_vocab_file     ,	self.tgt_vocab_file     ,	self.merges_file     )

        UpperCamelCase_							       =       """lower"""
        UpperCamelCase_							       =       ["""low""", """er</w>"""]
        UpperCamelCase_							       =       tokenizer.tokenize(__UpperCamelCase     )
        self.assertListEqual(__UpperCamelCase     ,	__UpperCamelCase     )

        UpperCamelCase_							       =       tokens + ["""<unk>"""]
        UpperCamelCase_							       =       [1_4, 1_5, 2_0]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase     )     ,	__UpperCamelCase     )

 @slow
 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       self.tokenizer_ru_en

        UpperCamelCase_							       =       tokenizer.encode("""sequence builders"""     ,	add_special_tokens=__UpperCamelCase     )
        UpperCamelCase_							       =       tokenizer.encode("""multi-sequence build"""     ,	add_special_tokens=__UpperCamelCase     )

        UpperCamelCase_							       =       tokenizer.build_inputs_with_special_tokens(__UpperCamelCase     )
        UpperCamelCase_							       =       tokenizer.build_inputs_with_special_tokens(__UpperCamelCase     ,	__UpperCamelCase     )

        assert encoded_sentence == text + [2]
        assert encoded_pair == text + [2] + text_a + [2]

 @slow
 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       self.tokenizer_en_ru
        UpperCamelCase_							       =       self.tokenizer_ru_en

        UpperCamelCase_							       =       [
            [
                """Here's a little song I wrote. Don't worry, be happy.""",
                [2_4_7_0, 3_9, 1_1, 2_3_4_9, 7_2_2_2, 7_0, 5_9_7_9, 7, 8_4_5_0, 1_0_5_0, 1_3_1_6_0, 5, 2_6, 6_4_4_5, 7, 2],
            ],
            ["""This is it. No more. I'm done!""", [1_3_2, 2_1, 3_7, 7, 1_4_3_4, 8_6, 7, 7_0, 6_4_7_6, 1_3_0_5, 4_2_7, 2]],
        ]

        # if data needs to be recreated or added, run:
        # import torch
        # model = torch.hub.load("pytorch/fairseq", "transformer.wmt19.en-ru", checkpoint_file="model4.pt", tokenizer="moses", bpe="fastbpe")
        # for src_text, _ in targets: print(f"""[\n"{src_text}",\n {model.encode(src_text).tolist()}\n],""")

        for src_text, tgt_input_ids in targets:
               UpperCamelCase_							       =       tokenizer_enc.encode(__UpperCamelCase     ,	return_tensors=__UpperCamelCase     )
               self.assertListEqual(__UpperCamelCase     ,	__UpperCamelCase     )

               # and decode backward, using the reversed languages model
               UpperCamelCase_							       =       tokenizer_dec.decode(__UpperCamelCase     ,	skip_special_tokens=__UpperCamelCase     )
               self.assertEqual(__UpperCamelCase     ,	__UpperCamelCase     )

 @slow
 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       FSMTTokenizer.from_pretrained("""facebook/wmt19-ru-en"""     ,	do_lower_case=__UpperCamelCase     )
        UpperCamelCase_							       =       tokenizer.tokenize("""USA is United States of America"""     )
        UpperCamelCase_							       =       ["""us""", """a</w>""", """is</w>""", """un""", """i""", """ted</w>""", """st""", """ates</w>""", """of</w>""", """am""", """er""", """ica</w>"""]
        self.assertListEqual(__UpperCamelCase     ,	__UpperCamelCase     )

 @unittest.skip("""FSMTConfig.__init__  requires non-optional args"""     )
 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        pass

 @unittest.skip("""FSMTConfig.__init__  requires non-optional args"""     )
 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        pass





def 				lowerCamelCase__				(						a__  :  int     )		->	str:
       UpperCamelCase_							       =       1
       UpperCamelCase_							       =       0
       UpperCamelCase_							       =       1
       UpperCamelCase_							       =       1
       UpperCamelCase_							       =       3
       UpperCamelCase_							       =       3
       UpperCamelCase_							       =       limit
       UpperCamelCase_							       =       0

       UpperCamelCase_							       =       """"""
       while counter != decimal + 1:
              if 4 * q + r - t < n * t:
                     result += str(a__     )
                     if counter == 0:
                            result += "."

                     if decimal == counter:
                            break

                     counter += 1
                     UpperCamelCase_							       =       10 * (r - n * t)
                     UpperCamelCase_							       =       ((10 * (3 * q + r)) // t) - 10 * n
                     q *= 10
                     UpperCamelCase_							       =       nr
              else:
                     UpperCamelCase_							       =       (2 * q + r) * l
                     UpperCamelCase_							       =       (q * (7 * k) + 2 + (r * l)) // (t * l)
                     q *= k
                     t *= l
                     l += 2
                     k += 1
                     UpperCamelCase_							       =       nn
                     UpperCamelCase_							       =       nr
       return result




def 				lowerCamelCase__				(						)		->	None:
       print(f'''{calculate_pi(50     ) = }'''     )
       import doctest

       doctest.testmod()


if __name__ == "__main__":
      main()



