


'''simple docstring'''



import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


A__						:   List[Any]				=    """__DUMMY_TRANSFORMERS_USER__"""
A__						:   Optional[int]				=    """Dummy User"""
A__						:   List[str]				=    """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"""

A__						:   Dict				=    """https://hub-ci.huggingface.co"""
A__						:   Tuple				=    CI_HUB_ENDPOINT + """/datasets/{repo_id}/resolve/{revision}/{path}"""
A__						:   Optional[Any]				=    CI_HUB_ENDPOINT + """/{repo_id}/resolve/{revision}/{filename}"""
A__						:   List[Any]				=    Path("""~/.huggingface/hub_ci_token""").expanduser()



@pytest.fixture
def      UpperCAmelCase__   (      UpperCAmelCase_       :							Union[str, Any]				)	->						int:
     monkeypatch.setattr(
         'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE' ,       UpperCAmelCase_				)



@pytest.fixture
def      UpperCAmelCase__   (      UpperCAmelCase_       :							Tuple				)	->						Optional[Any]:
     monkeypatch.setattr('datasets.config.HF_ENDPOINT' ,       UpperCAmelCase_				)
     monkeypatch.setattr('datasets.config.HUB_DATASETS_URL' ,       UpperCAmelCase_				)



@pytest.fixture
def      UpperCAmelCase__   (      UpperCAmelCase_       :							Any				)	->						Any:
     monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token' ,       UpperCAmelCase_				)



@pytest.fixture
def      UpperCAmelCase__   (      UpperCAmelCase_       :							Any ,       UpperCAmelCase_       :							List[str]				)	->						Optional[int]:
     HfFolder.save_token(UpperCAmelCase_				)
     yield
     HfFolder.delete_token()



@pytest.fixture(scope='session'				)
def      UpperCAmelCase__   (      )	->						Any:
     return HfApi(endpoint=UpperCAmelCase_				)



@pytest.fixture(scope='session'				)
def      UpperCAmelCase__   (      UpperCAmelCase_       :							HfApi				)	->						Optional[Any]:
     __lowerCamelCase  :      List[Any]														=						HfFolder.get_token()
     HfFolder.save_token(UpperCAmelCase_				)
     yield CI_HUB_USER_TOKEN
     if previous_token is not None:
          HfFolder.save_token(UpperCAmelCase_				)



@pytest.fixture
def      UpperCAmelCase__   (      UpperCAmelCase_       :							str				)	->						Optional[int]:
     def _cleanup_repo(UpperCAmelCase_       :							List[str]				):
          hf_api.delete_repo(UpperCAmelCase_ ,       token=UpperCAmelCase_ ,       repo_type='dataset'				)

     return _cleanup_repo



@pytest.fixture
def      UpperCAmelCase__   (      UpperCAmelCase_       :							int				)	->						List[Any]:
     @contextmanager
     def _temporary_repo(UpperCAmelCase_       :							Union[str, Any]				):
          try:
               yield repo_id
          finally:
               cleanup_repo(UpperCAmelCase_				)

     return _temporary_repo



@pytest.fixture(scope='session'				)
def      UpperCAmelCase__   (      UpperCAmelCase_       :							HfApi ,       UpperCAmelCase_       :							Optional[int] ,       UpperCAmelCase_       :							List[Any]				)	->						Optional[Any]:
     __lowerCamelCase  :      int														=						F'repo_txt_data-{int(time.time() * 10e3				)}'
     __lowerCamelCase  :      Optional[Any]														=						F'{CI_HUB_USER}/{repo_name}'
     hf_api.create_repo(UpperCAmelCase_ ,       token=UpperCAmelCase_ ,       repo_type='dataset' ,       private=UpperCAmelCase_				)
     hf_api.upload_file(
         token=UpperCAmelCase_ ,       path_or_fileobj=str(UpperCAmelCase_				) ,       path_in_repo='data/text_data.txt' ,       repo_id=UpperCAmelCase_ ,       repo_type='dataset' ,       )
     yield repo_id
     try:
          hf_api.delete_repo(UpperCAmelCase_ ,       token=UpperCAmelCase_ ,       repo_type='dataset'				)
     except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
          pass



@pytest.fixture()
def      UpperCAmelCase__   (      UpperCAmelCase_       :							Tuple ,       UpperCAmelCase_       :							Optional[Any] ,       UpperCAmelCase_       :							Any				)	->						List[Any]:
     return hf_private_dataset_repo_txt_data_



@pytest.fixture(scope='session'				)
def      UpperCAmelCase__   (      UpperCAmelCase_       :							HfApi ,       UpperCAmelCase_       :							Tuple ,       UpperCAmelCase_       :							Any				)	->						Optional[Any]:
     __lowerCamelCase  :      List[str]														=						F'repo_zipped_txt_data-{int(time.time() * 10e3				)}'
     __lowerCamelCase  :      int														=						F'{CI_HUB_USER}/{repo_name}'
     hf_api.create_repo(UpperCAmelCase_ ,       token=UpperCAmelCase_ ,       repo_type='dataset' ,       private=UpperCAmelCase_				)
     hf_api.upload_file(
         token=UpperCAmelCase_ ,       path_or_fileobj=str(UpperCAmelCase_				) ,       path_in_repo='data.zip' ,       repo_id=UpperCAmelCase_ ,       repo_type='dataset' ,       )
     yield repo_id
     try:
          hf_api.delete_repo(UpperCAmelCase_ ,       token=UpperCAmelCase_ ,       repo_type='dataset'				)
     except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
          pass



@pytest.fixture()
def      UpperCAmelCase__   (      UpperCAmelCase_       :							Tuple ,       UpperCAmelCase_       :							Optional[Any] ,       UpperCAmelCase_       :							str				)	->						Dict:
     return hf_private_dataset_repo_zipped_txt_data_



@pytest.fixture(scope='session'				)
def      UpperCAmelCase__   (      UpperCAmelCase_       :							HfApi ,       UpperCAmelCase_       :							Dict ,       UpperCAmelCase_       :							Tuple				)	->						Union[str, Any]:
     __lowerCamelCase  :      Tuple														=						F'repo_zipped_img_data-{int(time.time() * 10e3				)}'
     __lowerCamelCase  :      Any														=						F'{CI_HUB_USER}/{repo_name}'
     hf_api.create_repo(UpperCAmelCase_ ,       token=UpperCAmelCase_ ,       repo_type='dataset' ,       private=UpperCAmelCase_				)
     hf_api.upload_file(
         token=UpperCAmelCase_ ,       path_or_fileobj=str(UpperCAmelCase_				) ,       path_in_repo='data.zip' ,       repo_id=UpperCAmelCase_ ,       repo_type='dataset' ,       )
     yield repo_id
     try:
          hf_api.delete_repo(UpperCAmelCase_ ,       token=UpperCAmelCase_ ,       repo_type='dataset'				)
     except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
          pass



@pytest.fixture()
def      UpperCAmelCase__   (      UpperCAmelCase_       :							List[Any] ,       UpperCAmelCase_       :							Tuple ,       UpperCAmelCase_       :							List[Any]				)	->						Union[str, Any]:
     return hf_private_dataset_repo_zipped_img_data_













'''simple docstring'''




import os
import sys
import unittest


__UpperCAmelCase            =       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
__UpperCAmelCase            =       os.path.join(git_repo_path, """src""", """transformers""")

__UpperCAmelCase            =       """
{0} = None
"""

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

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


__UpperCAmelCase            =       """
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""




class      UpperCamelCase__					(					unittest.TestCase			):




					"""simple docstring"""


					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			find_backend("""    _import_structure[\"models.albert\"].append(\"AlbertTokenizerFast\")"""						)
							self.assertIsNone(lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				str		=			find_backend("""    if not is_tokenizers_available():"""						)
							self.assertEqual(lowerCamelCase_      ,						"""tokenizers"""						)

							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			find_backend("""    if not is_tensorflow_text_available():"""						)
							self.assertEqual(lowerCamelCase_      ,						"""tensorflow_text"""						)

							SCREAMING_SNAKE_CASE :				List[str]		=			find_backend("""    if not (is_sentencepiece_available() and is_tokenizers_available()):"""						)
							self.assertEqual(lowerCamelCase_      ,						"""sentencepiece_and_tokenizers"""						)

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

							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			find_backend(
							    """    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):"""						)
							self.assertEqual(lowerCamelCase_      ,						"""sentencepiece_and_tokenizers_and_vision"""						)


					def lowerCamelCase_			(						self				:			Any						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				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"""      ,						lowerCamelCase_						)
							self.assertIn("""tensorflow_text"""      ,						lowerCamelCase_						)
							self.assertIn("""sentencepiece_and_tokenizers"""      ,						lowerCamelCase_						)

							# 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 lowerCamelCase_			(						self				:			int						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				str		=			create_dummy_object("""CONSTANT"""      ,						"""'torch'"""						)
							self.assertEqual(lowerCamelCase_      ,						"""\nCONSTANT = None\n"""						)

							SCREAMING_SNAKE_CASE :				List[Any]		=			create_dummy_object("""function"""      ,						"""'torch'"""						)
							self.assertEqual(
							    lowerCamelCase_      ,						"""\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n"""						)

							SCREAMING_SNAKE_CASE :				str		=			"""
class FakeClass(metaclass=DummyObject):
    _backends = 'torch'

    def __init__(self, *args, **kwargs):
        requires_backends(self, 'torch')
"""
							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			create_dummy_object("""FakeClass"""      ,						"""'torch'"""						)
							self.assertEqual(lowerCamelCase_      ,						lowerCamelCase_						)



					def lowerCamelCase_			(						self				:			int						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			"""# 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\"])
"""
							SCREAMING_SNAKE_CASE :				List[Any]		=			create_dummy_files({"""torch""": ["""CONSTANT""", """function""", """FakeClass"""]}						)
							self.assertEqual(dummy_files["""torch"""]      ,						lowerCamelCase_						)



