
import os
import sys
import unittest


lowercase  :					Any						    =							os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
lowercase  :					List[Any]						    =							os.path.join(git_repo_path, """src""", """transformers""")

lowercase  :					List[Any]						    =							"""
{0} = None
"""

lowercase  :					Tuple						    =							"""
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
"""


lowercase  :					Optional[Any]						    =							"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""

class __snake_case		(      unittest.TestCase     ):
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           lowercase							:     List[Any]       	=      find_backend("""    _import_structure[\"models.albert\"].append(\"AlbertTokenizerFast\")"""      )
           self.assertIsNone(snake_case      )

           lowercase							:     List[str]       	=      find_backend("""    if not is_tokenizers_available():"""      )
           self.assertEqual(snake_case		,"""tokenizers"""      )

           lowercase							:     List[Any]       	=      find_backend("""    if not is_tensorflow_text_available():"""      )
           self.assertEqual(snake_case		,"""tensorflow_text"""      )

           lowercase							:     Any       	=      find_backend("""    if not (is_sentencepiece_available() and is_tokenizers_available()):"""      )
           self.assertEqual(snake_case		,"""sentencepiece_and_tokenizers"""      )

           lowercase							:     Tuple       	=      find_backend(
               """    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"""      )
           self.assertEqual(snake_case		,"""sentencepiece_and_tensorflow_text"""      )

           lowercase							:     Union[str, Any]       	=      find_backend(
               """    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):"""      )
           self.assertEqual(snake_case		,"""sentencepiece_and_tokenizers_and_vision"""      )
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           lowercase							:     Optional[Any]       	=      read_init()
           # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
           self.assertIn("""torch"""		,snake_case      )
           self.assertIn("""tensorflow_text"""		,snake_case      )
           self.assertIn("""sentencepiece_and_tokenizers"""		,snake_case      )

           # Likewise, we can't assert on the exact content of a key
           self.assertIn("""BertModel"""		,objects["""torch"""]      )
           self.assertIn("""TFBertModel"""		,objects["""tf"""]      )
           self.assertIn("""FlaxBertModel"""		,objects["""flax"""]      )
           self.assertIn("""BertModel"""		,objects["""torch"""]      )
           self.assertIn("""TFBertTokenizer"""		,objects["""tensorflow_text"""]      )
           self.assertIn("""convert_slow_tokenizer"""		,objects["""sentencepiece_and_tokenizers"""]      )
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           lowercase							:     Any       	=      create_dummy_object("""CONSTANT"""		,"""'torch'"""      )
           self.assertEqual(snake_case		,"""\nCONSTANT = None\n"""      )

           lowercase							:     Any       	=      create_dummy_object("""function"""		,"""'torch'"""      )
           self.assertEqual(
               snake_case		,"""\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n"""      )

           lowercase							:     Any       	=      """
class FakeClass(metaclass=DummyObject):
    _backends = 'torch'

    def __init__(self, *args, **kwargs):
        requires_backends(self, 'torch')
"""
           lowercase							:     int       	=      create_dummy_object("""FakeClass"""		,"""'torch'"""      )
           self.assertEqual(snake_case		,snake_case      )
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           lowercase							:     int       	=      """# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends


CONSTANT = None


def function(*args, **kwargs):
    requires_backends(function, [\"torch\"])


class FakeClass(metaclass=DummyObject):
    _backends = [\"torch\"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, [\"torch\"])
"""
           lowercase							:     Union[str, Any]       	=      create_dummy_files({"""torch""": ["""CONSTANT""", """function""", """FakeClass"""]}      )
           self.assertEqual(dummy_files["""torch"""]		,snake_case      )





import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union

@dataclass
class     _A       :
       UpperCamelCase__  :    Optional[Union[str, Path]]											=						None
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    Optional[Dict]											=						None
       UpperCamelCase__  :    Optional[str]											=						None
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    bool											=						True
       UpperCamelCase__  :    Optional[int]											=						None
       UpperCamelCase__  :    int											=						1
       UpperCamelCase__  :    Optional[Union[str, bool]]											=						None
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    Optional[Dict]											=						None
       UpperCamelCase__  :    Optional[str]											=						None



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


           '''simple docstring'''

           return self.__class__(**{k: copy.deepcopy(__SCREAMING_SNAKE_CASE) for k, v in self.__dict__.items()})





