





'''simple docstring'''




import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


__SCREAMING_SNAKE_CASE	:Tuple	    =							get_tests_dir('''fixtures/test_sentencepiece.model''')

if is_torch_available():
  from transformers.models.mbart.modeling_mbart import shift_tokens_right

__SCREAMING_SNAKE_CASE	:Optional[Any]	    =							250004
__SCREAMING_SNAKE_CASE	:Optional[int]	    =							250020







@require_sentencepiece
@require_tokenizers
class     A_      (    _a				,		unittest.TestCase     ):
 _lowerCamelCase    :					List[str]       			=				MBartaaTokenizer
 _lowerCamelCase    :					int       			=				MBartaaTokenizerFast
 _lowerCamelCase    :					Any       			=				True
 _lowerCamelCase    :					Any       			=				True




 def 	lowercase      (   self			:       Optional[Any]       ):
      super().setUp()

      # We have a SentencePiece fixture for testing
      _UpperCAmelCase					=  MBartaaTokenizer(snake_case_      ,     src_lang="en_XX"      ,     tgt_lang="ro_RO"      ,     keep_accents=snake_case_       )
      tokenizer.save_pretrained(self.tmpdirname       )




 def 	lowercase      (   self			:       Tuple       ):
      _UpperCAmelCase					=  "<s>"
      _UpperCAmelCase					=  0

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




 def 	lowercase      (   self			:       int       ):
      _UpperCAmelCase					=  list(self.get_tokenizer().get_vocab().keys()       )

      self.assertEqual(vocab_keys[0]      ,     "<s>"       )
      self.assertEqual(vocab_keys[1]      ,     "<pad>"       )
      self.assertEqual(vocab_keys[-1]      ,     "<mask>"       )
      self.assertEqual(len(snake_case_       )      ,     1_0_5_4       )




 def 	lowercase      (   self			:       Optional[Any]       ):
      self.assertEqual(self.get_tokenizer().vocab_size      ,     1_0_5_4       )




 def 	lowercase      (   self			:       str       ):
      _UpperCAmelCase					=  MBartaaTokenizer(snake_case_      ,     src_lang="en_XX"      ,     tgt_lang="ro_RO"      ,     keep_accents=snake_case_       )

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

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(snake_case_       )      ,     [value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]      ,     )

      _UpperCAmelCase					=  tokenizer.tokenize("I was born in 92000, and this is falsé."       )
      self.assertListEqual(
          snake_case_      ,     [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", "."]      ,     )
      _UpperCAmelCase					=  tokenizer.convert_tokens_to_ids(snake_case_       )
      self.assertListEqual(
          snake_case_      ,     [
              value + tokenizer.fairseq_offset
              for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
          ]      ,     )

      _UpperCAmelCase					=  tokenizer.convert_ids_to_tokens(snake_case_       )
      self.assertListEqual(
          snake_case_      ,     [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>", "."]      ,     )




 @slow
 def 	lowercase      (   self			:       Tuple       ):
      _UpperCAmelCase					=  {"input_ids": [[2_5_0_0_0_4, 1_1_0_6_2, 8_2_7_7_2, 7, 1_5, 8_2_7_7_2, 5_3_8, 5_1_5_2_9, 2_3_7, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 2_1_5_1_7_5, 1_3_1_4, 1_3_6, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 5_6_3_5_9, 4_2, 1_2_2_0_0_9, 9, 1_6_4_6_6, 1_6, 8_7_3_4_4, 4_5_3_7, 9, 4_7_1_7, 7_8_3_8_1, 6, 1_5_9_9_5_8, 7, 1_5, 2_4_4_8_0, 6_1_8, 4, 5_2_7, 2_2_6_9_3, 5_4_2_8, 4, 2_7_7_7, 2_4_4_8_0, 9_8_7_4, 4, 4_3_5_2_3, 5_9_4, 4, 8_0_3, 1_8_3_9_2, 3_3_1_8_9, 1_8, 4, 4_3_5_2_3, 2_4_4_4_7, 1_2_3_9_9, 1_0_0, 2_4_9_5_5, 8_3_6_5_8, 9_6_2_6, 1_4_4_0_5_7, 1_5, 8_3_9, 2_2_3_3_5, 1_6, 1_3_6, 2_4_9_5_5, 8_3_6_5_8, 8_3_4_7_9, 1_5, 3_9_1_0_2, 7_2_4, 1_6, 6_7_8, 6_4_5, 2_7_8_9, 1_3_2_8, 4_5_8_9, 4_2, 1_2_2_0_0_9, 1_1_5_7_7_4, 2_3, 8_0_5, 1_3_2_8, 4_6_8_7_6, 7, 1_3_6, 5_3_8_9_4, 1_9_4_0, 4_2_2_2_7, 4_1_1_5_9, 1_7_7_2_1, 8_2_3, 4_2_5, 4, 2_7_5_1_2, 9_8_7_2_2, 2_0_6, 1_3_6, 5_5_3_1, 4_9_7_0, 9_1_9, 1_7_3_3_6, 5, 2], [2_5_0_0_0_4, 2_0_0_8_0, 6_1_8, 8_3, 8_2_7_7_5, 4_7, 4_7_9, 9, 1_5_1_7, 7_3, 5_3_8_9_4, 3_3_3, 8_0_5_8_1, 1_1_0_1_1_7, 1_8_8_1_1, 5_2_5_6, 1_2_9_5, 5_1, 1_5_2_5_2_6, 2_9_7, 7_9_8_6, 3_9_0, 1_2_4_4_1_6, 5_3_8, 3_5_4_3_1, 2_1_4, 9_8, 1_5_0_4_4, 2_5_7_3_7, 1_3_6, 7_1_0_8, 4_3_7_0_1, 2_3, 7_5_6, 1_3_5_3_5_5, 7, 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], [2_5_0_0_0_4, 5_8_1, 6_3_7_7_3, 1_1_9_4_5_5, 6, 1_4_7_7_9_7, 8_8_2_0_3, 7, 6_4_5, 7_0, 2_1, 3_2_8_5, 1_0_2_6_9, 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]], "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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=snake_case_      ,     model_name="facebook/mbart-large-50"      ,     revision="d3913889c59cd5c9e456b269c376325eabad57e2"      ,     )




 def 	lowercase      (   self			:       Any       ):

      if not self.test_slow_tokenizer:
           # as we don't have a slow version, we can't compare the outputs between slow and fast versions
           return

      _UpperCAmelCase					=  (self.rust_tokenizer_class, "hf-internal-testing/tiny-random-mbart50", {})
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'       ):
                _UpperCAmelCase					=  self.rust_tokenizer_class.from_pretrained(snake_case_      ,     **snake_case_       )
                _UpperCAmelCase					=  self.tokenizer_class.from_pretrained(snake_case_      ,     **snake_case_       )

                _UpperCAmelCase					=  tempfile.mkdtemp()

                _UpperCAmelCase					=  tokenizer_r.save_pretrained(snake_case_       )
                _UpperCAmelCase					=  tokenizer_p.save_pretrained(snake_case_       )

                # Checks it save with the same files + the tokenizer.json file for the fast one
                self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files       )       )
                _UpperCAmelCase					=  tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f       )
                self.assertSequenceEqual(snake_case_      ,     snake_case_       )

                # Checks everything loads correctly in the same way
                _UpperCAmelCase					=  tokenizer_r.from_pretrained(snake_case_       )
                _UpperCAmelCase					=  tokenizer_p.from_pretrained(snake_case_       )

                # Check special tokens are set accordingly on Rust and Python
                for key in tokenizer_pp.special_tokens_map:
                     self.assertTrue(hasattr(snake_case_      ,     snake_case_       )       )
                     # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
                     # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

                shutil.rmtree(snake_case_       )

                # Save tokenizer rust, legacy_format=True
                _UpperCAmelCase					=  tempfile.mkdtemp()

                _UpperCAmelCase					=  tokenizer_r.save_pretrained(snake_case_      ,     legacy_format=snake_case_       )
                _UpperCAmelCase					=  tokenizer_p.save_pretrained(snake_case_       )

                # Checks it save with the same files
                self.assertSequenceEqual(snake_case_      ,     snake_case_       )

                # Checks everything loads correctly in the same way
                _UpperCAmelCase					=  tokenizer_r.from_pretrained(snake_case_       )
                _UpperCAmelCase					=  tokenizer_p.from_pretrained(snake_case_       )

                # Check special tokens are set accordingly on Rust and Python
                for key in tokenizer_pp.special_tokens_map:
                     self.assertTrue(hasattr(snake_case_      ,     snake_case_       )       )

                shutil.rmtree(snake_case_       )

                # Save tokenizer rust, legacy_format=False
                _UpperCAmelCase					=  tempfile.mkdtemp()

                _UpperCAmelCase					=  tokenizer_r.save_pretrained(snake_case_      ,     legacy_format=snake_case_       )
                _UpperCAmelCase					=  tokenizer_p.save_pretrained(snake_case_       )

                # Checks it saved the tokenizer.json file
                self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files       )       )

                # Checks everything loads correctly in the same way
                _UpperCAmelCase					=  tokenizer_r.from_pretrained(snake_case_       )
                _UpperCAmelCase					=  tokenizer_p.from_pretrained(snake_case_       )

                # Check special tokens are set accordingly on Rust and Python
                for key in tokenizer_pp.special_tokens_map:
                     self.assertTrue(hasattr(snake_case_      ,     snake_case_       )       )

                shutil.rmtree(snake_case_       )







@require_torch
@require_sentencepiece
@require_tokenizers
class     A_      (    unittest.TestCase     ):
 _lowerCamelCase    :					str       			=				"""facebook/mbart-large-50-one-to-many-mmt"""
 _lowerCamelCase    :					int       			=				[
     """ UN Chief Says There Is No Military Solution in Syria""",
     """ Secretary-General Ban Ki-moon says his response to Russia's stepped up military support for Syria is that \"there is no military solution\" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.""",
 ]
 _lowerCamelCase    :					Tuple       			=				[
     """Şeful ONU declară că nu există o soluţie militară în Siria""",
     """Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei"""
     """ pentru Siria este că \"nu există o soluţie militară\" la conflictul de aproape cinci ani şi că noi arme nu vor"""
     """ face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.""",
 ]
 _lowerCamelCase    :					List[Any]       			=				[EN_CODE, 82_74, 12_78_73, 2_59_16, 7, 86_22, 20_71, 4_38, 6_74_85, 53, 18_78_95, 23, 5_17_12, 2]




 @classmethod
 def 	lowercase      (   cls			:       Any       ):
      _UpperCAmelCase					=  MBartaaTokenizer.from_pretrained(
          cls.checkpoint_name      ,     src_lang="en_XX"      ,     tgt_lang="ro_RO"       )
      _UpperCAmelCase					=  1
      return cls




 def 	lowercase      (   self			:       str       ):
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"]      ,     2_5_0_0_0_1       )
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"]      ,     2_5_0_0_0_4       )
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"]      ,     2_5_0_0_2_0       )
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["mr_IN"]      ,     2_5_0_0_3_8       )




 def 	lowercase      (   self			:       Dict       ):
      _UpperCAmelCase					=  self.tokenizer.batch_encode_plus(self.src_text       ).input_ids[0]
      self.assertListEqual(self.expected_src_tokens      ,     snake_case_       )




 def 	lowercase      (   self			:       Union[str, Any]       ):
      self.assertIn(snake_case_      ,     self.tokenizer.all_special_ids       )
      _UpperCAmelCase					=  [RO_CODE, 8_8_4, 9_0_1_9, 9_6, 9, 9_1_6, 8_6_7_9_2, 3_6, 1_8_7_4_3, 1_5_5_9_6, 5, 2]
      _UpperCAmelCase					=  self.tokenizer.decode(snake_case_      ,     skip_special_tokens=snake_case_       )
      _UpperCAmelCase					=  self.tokenizer.decode(generated_ids[1:]      ,     skip_special_tokens=snake_case_       )
      self.assertEqual(snake_case_      ,     snake_case_       )
      self.assertNotIn(self.tokenizer.eos_token      ,     snake_case_       )




 def 	lowercase      (   self			:       Union[str, Any]       ):
      _UpperCAmelCase					=  ["this is gunna be a long sentence " * 2_0]
      assert isinstance(src_text[0]      ,     snake_case_       )
      _UpperCAmelCase					=  1_0
      _UpperCAmelCase					=  self.tokenizer(snake_case_      ,     max_length=snake_case_      ,     truncation=snake_case_       ).input_ids[0]
      self.assertEqual(ids[0]      ,     snake_case_       )
      self.assertEqual(ids[-1]      ,     2       )
      self.assertEqual(len(snake_case_       )      ,     snake_case_       )




 def 	lowercase      (   self			:       str       ):
      self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]       )      ,     [2_5_0_0_5_3, 2_5_0_0_0_1]       )




 def 	lowercase      (   self			:       Tuple       ):
      _UpperCAmelCase					=  tempfile.mkdtemp()
      _UpperCAmelCase					=  self.tokenizer.fairseq_tokens_to_ids
      self.tokenizer.save_pretrained(snake_case_       )
      _UpperCAmelCase					=  MBartaaTokenizer.from_pretrained(snake_case_       )
      self.assertDictEqual(new_tok.fairseq_tokens_to_ids      ,     snake_case_       )




 @require_torch
 def 	lowercase      (   self			:       Any       ):
      _UpperCAmelCase					=  self.tokenizer(self.src_text      ,     text_target=self.tgt_text      ,     padding=snake_case_      ,     return_tensors="pt"       )
      _UpperCAmelCase					=  shift_tokens_right(batch["labels"]      ,     self.tokenizer.pad_token_id       )

      # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
      assert batch.input_ids[1][0] == EN_CODE
      assert batch.input_ids[1][-1] == 2
      assert batch.labels[1][0] == RO_CODE
      assert batch.labels[1][-1] == 2
      assert batch.decoder_input_ids[1][:2].tolist() == [2, RO_CODE]




 @require_torch
 def 	lowercase      (   self			:       Union[str, Any]       ):
      _UpperCAmelCase					=  self.tokenizer(
          self.src_text      ,     text_target=self.tgt_text      ,     padding=snake_case_      ,     truncation=snake_case_      ,     max_length=len(self.expected_src_tokens       )      ,     return_tensors="pt"      ,     )
      _UpperCAmelCase					=  shift_tokens_right(batch["labels"]      ,     self.tokenizer.pad_token_id       )

      self.assertIsInstance(snake_case_      ,     snake_case_       )

      self.assertEqual((2, 1_4)      ,     batch.input_ids.shape       )
      self.assertEqual((2, 1_4)      ,     batch.attention_mask.shape       )
      _UpperCAmelCase					=  batch.input_ids.tolist()[0]
      self.assertListEqual(self.expected_src_tokens      ,     snake_case_       )
      self.assertEqual(2      ,     batch.decoder_input_ids[0, 0]       )  # decoder_start_token_id
      # Test that special tokens are reset
      self.assertEqual(self.tokenizer.prefix_tokens      ,     [EN_CODE]       )
      self.assertEqual(self.tokenizer.suffix_tokens      ,     [self.tokenizer.eos_token_id]       )




 def 	lowercase      (   self			:       Any       ):
      _UpperCAmelCase					=  self.tokenizer(self.src_text      ,     padding=snake_case_      ,     truncation=snake_case_      ,     max_length=3      ,     return_tensors="pt"       )
      _UpperCAmelCase					=  self.tokenizer(
          text_target=self.tgt_text      ,     padding=snake_case_      ,     truncation=snake_case_      ,     max_length=1_0      ,     return_tensors="pt"       )
      _UpperCAmelCase					=  targets["input_ids"]
      _UpperCAmelCase					=  shift_tokens_right(snake_case_      ,     self.tokenizer.pad_token_id       )

      self.assertEqual(batch.input_ids.shape[1]      ,     3       )
      self.assertEqual(batch.decoder_input_ids.shape[1]      ,     1_0       )




 @require_torch
 def 	lowercase      (   self			:       Any       ):
      _UpperCAmelCase					=  self.tokenizer._build_translation_inputs(
          "A test"      ,     return_tensors="pt"      ,     src_lang="en_XX"      ,     tgt_lang="ar_AR"       )

      self.assertEqual(
          nested_simplify(snake_case_       )      ,     {
              # en_XX, A, test, EOS
              "input_ids": [[2_5_0_0_0_4, 6_2, 3_0_3_4, 2]],
              "attention_mask": [[1, 1, 1, 1]],
              # ar_AR
              "forced_bos_token_id": 2_5_0_0_0_1,
          }      ,     )








from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A				:       Optional[Any]      =  {'configuration_van': ['VAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VanConfig']}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A				:       Optional[Any]      =  [
	    'VAN_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'VanForImageClassification',
	    'VanModel',
	    'VanPreTrainedModel',
	]

if TYPE_CHECKING:
	from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_van import (
		    VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
		    VanForImageClassification,
		    VanModel,
		    VanPreTrainedModel,
		)

else:
	import sys

	A				:       Union[str, Any]      =  _LazyModule(__name__, globals()['__file__'], _import_structure)





