
import os

import pytest
import yaml

from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict



@pytest.mark.parametrize(
    """files"""      ,					[
        ["""full:README.md""", """dataset_infos.json"""],
        ["""empty:README.md""", """dataset_infos.json"""],
        ["""dataset_infos.json"""],
        ["""full:README.md"""],
    ]      ,					)
def   __lowerCAmelCase    (				UpperCAmelCase__					:   List[str]      ,					UpperCAmelCase__					:   str							)	->     Any:
							lowerCamelCase_					=       tmp_path_factory.mktemp("""dset_infos_dir"""							)
							if "full:README.md" in files:
														with open(dataset_infos_dir / """README.md"""      ,					"""w"""							) as f:
																					f.write("""---\ndataset_info:\n  dataset_size: 42\n---"""							)
							if "empty:README.md" in files:
														with open(dataset_infos_dir / """README.md"""      ,					"""w"""							) as f:
																					f.write(""""""							)
    # we want to support dataset_infos.json for backward compatibility
							if "dataset_infos.json" in files:
														with open(dataset_infos_dir / """dataset_infos.json"""      ,					"""w"""							) as f:
																					f.write("""{\"default\": {\"dataset_size\": 42}}"""							)
							lowerCamelCase_					=       DatasetInfosDict.from_directory(UpperCAmelCase__							)
							assert dataset_infos
							assert dataset_infos["default"].dataset_size == 4_2



@pytest.mark.parametrize(
    """dataset_info"""      ,					[
        DatasetInfo(),
        DatasetInfo(
            description="""foo"""      ,					features=Features({"""a""": Value("""int32"""							)}							)      ,					builder_name="""builder"""      ,					config_name="""config"""      ,					version="""1.0.0"""      ,					splits=[{"""name""": """train"""}]      ,					download_size=4_2      ,					),
    ]      ,					)
def   __lowerCAmelCase    (				UpperCAmelCase__					:   Optional[int]      ,					UpperCAmelCase__					:   DatasetInfo							)	->     Dict:
							lowerCamelCase_					=       str(UpperCAmelCase__							)
							dataset_info.write_to_directory(UpperCAmelCase__							)
							lowerCamelCase_					=       DatasetInfo.from_directory(UpperCAmelCase__							)
							assert dataset_info == reloaded
							assert os.path.exists(os.path.join(UpperCAmelCase__      ,					"""dataset_info.json"""							)							)



def   __lowerCAmelCase    (				)	->     List[str]:
							lowerCamelCase_					=       DatasetInfo(
							    description="""foo"""      ,					citation="""bar"""      ,					homepage="""https://foo.bar"""      ,					license="""CC0"""      ,					features=Features({"""a""": Value("""int32"""							)}							)      ,					post_processed={}      ,					supervised_keys=()      ,					task_templates=[]      ,					builder_name="""builder"""      ,					config_name="""config"""      ,					version="""1.0.0"""      ,					splits=[{"""name""": """train""", """num_examples""": 4_2}]      ,					download_checksums={}      ,					download_size=1_3_3_7      ,					post_processing_size=4_4_2      ,					dataset_size=1_2_3_4      ,					size_in_bytes=1_3_3_7 + 4_4_2 + 1_2_3_4      ,					)
							lowerCamelCase_					=       dataset_info._to_yaml_dict()
							assert sorted(UpperCAmelCase__							) == sorted(DatasetInfo._INCLUDED_INFO_IN_YAML							)
							for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
														assert key in dataset_info_yaml_dict
														assert isinstance(dataset_info_yaml_dict[key]      ,					(list, dict, int, str)							)
							lowerCamelCase_					=       yaml.safe_dump(UpperCAmelCase__							)
							lowerCamelCase_					=       yaml.safe_load(UpperCAmelCase__							)
							assert dataset_info_yaml_dict == reloaded



def   __lowerCAmelCase    (				)	->     Any:
							lowerCamelCase_					=       DatasetInfo()
							lowerCamelCase_					=       dataset_info._to_yaml_dict()
							assert dataset_info_yaml_dict == {}



@pytest.mark.parametrize(
    """dataset_infos_dict"""      ,					[
        DatasetInfosDict(),
        DatasetInfosDict({"""default""": DatasetInfo()}							),
        DatasetInfosDict({"""my_config_name""": DatasetInfo()}							),
        DatasetInfosDict(
            {
                """default""": DatasetInfo(
                    description="""foo"""      ,					features=Features({"""a""": Value("""int32"""							)}							)      ,					builder_name="""builder"""      ,					config_name="""config"""      ,					version="""1.0.0"""      ,					splits=[{"""name""": """train"""}]      ,					download_size=4_2      ,					)
            }							),
        DatasetInfosDict(
            {
                """v1""": DatasetInfo(dataset_size=4_2							),
                """v2""": DatasetInfo(dataset_size=1_3_3_7							),
            }							),
    ]      ,					)
def   __lowerCAmelCase    (				UpperCAmelCase__					:   int      ,					UpperCAmelCase__					:   DatasetInfosDict							)	->     Optional[Any]:
							lowerCamelCase_					=       str(UpperCAmelCase__							)
							dataset_infos_dict.write_to_directory(UpperCAmelCase__							)
							lowerCamelCase_					=       DatasetInfosDict.from_directory(UpperCAmelCase__							)

							# the config_name of the dataset_infos_dict take over the attribute
							for config_name, dataset_info in dataset_infos_dict.items():
														lowerCamelCase_					=       config_name
														# the yaml representation doesn't include fields like description or citation
														# so we just test that we can recover what we can from the yaml
														lowerCamelCase_					=       DatasetInfo._from_yaml_dict(dataset_info._to_yaml_dict()							)
							assert dataset_infos_dict == reloaded

							if dataset_infos_dict:
														assert os.path.exists(os.path.join(UpperCAmelCase__      ,					"""README.md"""							)							)







from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase   =	logging.get_logger(__name__)

lowercase   =	{
    '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json''',
}





class    __A(					UpperCAmelCase							):
					SCREAMING_SNAKE_CASE           =     '''gpt_neox_japanese'''

					def __init__(						self       :  Union[str, Any] ,       __UpperCamelCase       :  str=3_2_0_0_0 ,       __UpperCamelCase       :  List[Any]=2_5_6_0 ,       __UpperCamelCase       :  Any=3_2 ,       __UpperCamelCase       :  List[str]=3_2 ,       __UpperCamelCase       :  List[str]=4 ,       __UpperCamelCase       :  Dict="gelu" ,       __UpperCamelCase       :  List[Any]=1.00 ,       __UpperCamelCase       :  Any=1_0_0_0_0 ,       __UpperCamelCase       :  Optional[Any]=2_0_4_8 ,       __UpperCamelCase       :  Tuple=0.02 ,       __UpperCamelCase       :  List[str]=1E-5 ,       __UpperCamelCase       :  str=True ,       __UpperCamelCase       :  str=3_1_9_9_6 ,       __UpperCamelCase       :  int=3_1_9_9_9 ,       __UpperCamelCase       :  Optional[Any]=0.1 ,       __UpperCamelCase       :  Tuple=0.0 ,       **__UpperCamelCase       :  List[str] ,       ):
												super().__init__(bos_token_id=__UpperCamelCase ,       eos_token_id=__UpperCamelCase ,       **__UpperCamelCase )
												lowerCamelCase_					=       vocab_size
												lowerCamelCase_					=       max_position_embeddings
												lowerCamelCase_					=       hidden_size
												lowerCamelCase_					=       num_hidden_layers
												lowerCamelCase_					=       num_attention_heads
												lowerCamelCase_					=       intermediate_multiple_size
												lowerCamelCase_					=       hidden_act
												lowerCamelCase_					=       rotary_pct
												lowerCamelCase_					=       rotary_emb_base
												lowerCamelCase_					=       initializer_range
												lowerCamelCase_					=       layer_norm_eps
												lowerCamelCase_					=       use_cache
												lowerCamelCase_					=       attention_dropout
												lowerCamelCase_					=       hidden_dropout





