import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs





class 						SCREAMING_SNAKE_CASE				( snake_case					):





							"""simple docstring"""

							def __init__(  self:   Dict		,     __A:   Dict		,     __A:   List[str]=None		,     __A:   Optional[Any]=True		,     __A:   str=None		,     **__A:   List[str]   )    ->				Any:
												_A								= parent
												_A								= config_class
												_A								= has_text_modality
												_A								= kwargs
												_A								= common_properties

							def       __A (  self:   int   )    ->				Optional[int]:
												_A								= self.config_class(**self.inputs_dict   )
												_A								= (
												    ['''hidden_size''', '''num_attention_heads''', '''num_hidden_layers''']
												    if self.common_properties is None
												    else self.common_properties
												)

												# Add common fields for text models
												if self.has_text_modality:
																	common_properties.extend(['''vocab_size''']   )

												# Test that config has the common properties as getters
												for prop in common_properties:
																	self.parent.assertTrue(hasattr(__A		,     __A   )		,     msg=f"""`{prop}` does not exist"""   )

												# Test that config has the common properties as setter
												for idx, name in enumerate(__A   ):
																	try:
																						setattr(__A		,     __A		,     __A   )
																						self.parent.assertEqual(
																						    getattr(__A		,     __A   )		,     __A		,     msg=f"""`{name} value {idx} expected, but was {getattr(__A		,     __A   )}"""   )
																	except NotImplementedError:
																						# Some models might not be able to implement setters for common_properties
																						# In that case, a NotImplementedError is raised
																						pass

        # Test if config class can be called with Config(prop_name=..)
												for idx, name in enumerate(__A   ):
																	try:
																						_A								= self.config_class(**{name: idx}   )
																						self.parent.assertEqual(
																						    getattr(__A		,     __A   )		,     __A		,     msg=f"""`{name} value {idx} expected, but was {getattr(__A		,     __A   )}"""   )
																	except NotImplementedError:
																						# Some models might not be able to implement setters for common_properties
																						# In that case, a NotImplementedError is raised
																						pass

							def       __A (  self:   Tuple   )    ->				List[str]:
												_A								= self.config_class(**self.inputs_dict   )
												_A								= json.loads(config.to_json_string()   )
												for key, value in self.inputs_dict.items():
																	self.parent.assertEqual(obj[key]		,     __A   )

							def       __A (  self:   Union[str, Any]   )    ->				Optional[int]:
												_A								= self.config_class(**self.inputs_dict   )

												with tempfile.TemporaryDirectory() as tmpdirname:
																	_A								= os.path.join(__A		,     '''config.json'''   )
																	config_first.to_json_file(__A   )
																	_A								= self.config_class.from_json_file(__A   )

												self.parent.assertEqual(config_second.to_dict()		,     config_first.to_dict()   )

							def       __A (  self:   str   )    ->				Optional[Any]:
												_A								= self.config_class(**self.inputs_dict   )

												with tempfile.TemporaryDirectory() as tmpdirname:
																	config_first.save_pretrained(__A   )
																	_A								= self.config_class.from_pretrained(__A   )

												self.parent.assertEqual(config_second.to_dict()		,     config_first.to_dict()   )

							def       __A (  self:   Optional[Any]   )    ->				Dict:
												_A								= self.config_class(**self.inputs_dict   )

												_A								= '''test'''
												with tempfile.TemporaryDirectory() as tmpdirname:
																	_A								= os.path.join(__A		,     __A   )
																	config_first.save_pretrained(__A   )
																	_A								= self.config_class.from_pretrained(__A		,     subfolder=__A   )

												self.parent.assertEqual(config_second.to_dict()		,     config_first.to_dict()   )

							def       __A (  self:   int   )    ->				Tuple:
												_A								= self.config_class(**self.inputs_dict		,     num_labels=5   )
												self.parent.assertEqual(len(config.idalabel   )		,     5   )
												self.parent.assertEqual(len(config.labelaid   )		,     5   )

												_A								= 3
												self.parent.assertEqual(len(config.idalabel   )		,     3   )
												self.parent.assertEqual(len(config.labelaid   )		,     3   )

							def       __A (  self:   List[str]   )    ->				List[Any]:
												if self.config_class.is_composition:
																	return
												_A								= self.config_class()
												self.parent.assertIsNotNone(__A   )

							def       __A (  self:   Dict   )    ->				Dict:
												_A								= copy.deepcopy(__A   )
												_A								= self.config_class(**__A   )
												_A								= []
												for key, value in config_common_kwargs.items():
																	if key == "torch_dtype":
																						if not is_torch_available():
																											continue
																						else:
																											import torch

																											if config.torch_dtype != torch.floataa:
																																wrong_values.append(('''torch_dtype''', config.torch_dtype, torch.floataa)   )
																	elif getattr(__A		,     __A   ) != value:
																						wrong_values.append((key, getattr(__A		,     __A   ), value)   )

												if len(__A   ) > 0:
																	_A								= '''\n'''.join([f"""- {v[0]}: got {v[1]} instead of {v[2]}""" for v in wrong_values]   )
																	raise ValueError(f"""The following keys were not properly set in the config:\n{errors}"""   )



							def       __A (  self:   List[Any]   )    ->				str:
												self.create_and_test_config_common_properties()
												self.create_and_test_config_to_json_string()
												self.create_and_test_config_to_json_file()
												self.create_and_test_config_from_and_save_pretrained()
												self.create_and_test_config_from_and_save_pretrained_subfolder()
												self.create_and_test_config_with_num_labels()
												self.check_config_can_be_init_without_params()
												self.check_config_arguments_init()











import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


__A      =				'\\n    Text data.\n    Second line of data.'

__A      =				'file'




@pytest.fixture(scope='''session''' )
def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tmp_path_factory.mktemp('''data''' ) / (FILE_PATH + '''.zstd''')
					_A								= bytes(_lowercase					,			'''utf-8''' )
					with zstd.open(_lowercase					,			'''wb''' ) as f:
										f.write(_lowercase )
					return path




@pytest.fixture
def      __A					(     _lowercase ):

					'''simple docstring'''







					with open(os.path.join(tmpfs.local_root_dir					,			_lowercase )					,			'''w''' ) as f:
										f.write(_lowercase )
					return FILE_PATH




@pytest.mark.parametrize('''compression_format'''					,			['''gzip''', '''xz''', '''zstd'''] )
def      __A					(     _lowercase					,			_lowercase					,			_lowercase					,			_lowercase					,			_lowercase					,			_lowercase ):

					'''simple docstring'''







					_A								= {'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
					_A								= input_paths[compression_format]
					_A								= tmp_path / '''cache'''
					_A								= DownloadConfig(cache_dir=_lowercase					,			extract_compressed_file=_lowercase )
					_A								= cached_path(_lowercase					,			download_config=_lowercase )
					with open(_lowercase ) as f:
										_A								= f.read()
					with open(_lowercase ) as f:
										_A								= f.read()
					assert extracted_file_content == expected_file_content




@pytest.mark.parametrize('''default_extracted'''					,			[True, False] )
@pytest.mark.parametrize('''default_cache_dir'''					,			[True, False] )
def      __A					(     _lowercase					,			_lowercase					,			_lowercase					,			_lowercase					,			_lowercase ):

					'''simple docstring'''







					_A								= '''custom_cache'''
					_A								= '''custom_extracted_dir'''
					_A								= tmp_path / '''custom_extracted_path'''
					if default_extracted:
										_A								= ('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
					else:
										monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_DIR'''					,			_lowercase )
										monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''					,			str(_lowercase ) )
										_A								= custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

					_A								= xz_file
					_A								= (
					    DownloadConfig(extract_compressed_file=_lowercase )
					    if default_cache_dir
					    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir					,			extract_compressed_file=_lowercase )
					)
					_A								= cached_path(_lowercase					,			download_config=_lowercase )
					assert Path(_lowercase ).parent.parts[-2:] == expected




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= str(Path(_lowercase ).resolve() )
					assert cached_path(_lowercase ) == text_file
					# relative path
					_A								= str(Path(_lowercase ).resolve().relative_to(Path(os.getcwd() ) ) )
					assert cached_path(_lowercase ) == text_file




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= str(tmp_path.resolve() / '''__missing_file__.txt''' )
					with pytest.raises(_lowercase ):
										cached_path(_lowercase )
					# relative path
					_A								= '''./__missing_file__.txt'''
					with pytest.raises(_lowercase ):
										cached_path(_lowercase )




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= get_from_cache(f"""tmp://{tmpfs_file}""" )
					with open(_lowercase ) as f:
										_A								= f.read()
					assert output_file_content == FILE_CONTENT




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     ):

					'''simple docstring'''







					with pytest.raises(_lowercase ):
										cached_path('''https://huggingface.co''' )




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tmp_path_factory.mktemp('''data''' ) / '''file.html'''
					with pytest.raises(_lowercase ):
										http_get('''https://huggingface.co'''					,			temp_file=_lowercase )
					with pytest.raises(_lowercase ):
										http_head('''https://huggingface.co''' )




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tmp_path_factory.mktemp('''data''' ) / '''file.html'''
					with pytest.raises(_lowercase ):
										ftp_get('''ftp://huggingface.co'''					,			temp_file=_lowercase )
					with pytest.raises(_lowercase ):
										ftp_head('''ftp://huggingface.co''' )




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tmp_path_factory.mktemp('''data''' ) / '''file.html'''
					with pytest.raises(_lowercase ):
										fsspec_get('''s3://huggingface.co'''					,			temp_file=_lowercase )
					with pytest.raises(_lowercase ):
										fsspec_head('''s3://huggingface.co''' )



