






"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase_       			=   logging.get_logger(__name__)

lowerCamelCase_       			=   {
    '''google/mobilenet_v1_1.0_224''': '''https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json''',
    '''google/mobilenet_v1_0.75_192''': '''https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json''',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}







class     UpperCamelCase_ (__A  ):
	__magic_name__			   =       '''mobilenet_v1'''





	def __init__(   self      :				int			,			lowerCAmelCase_      :				Optional[Any]=3			,			lowerCAmelCase_      :				Optional[int]=224			,			lowerCAmelCase_      :				List[Any]=1.0			,			lowerCAmelCase_      :				List[str]=8			,			lowerCAmelCase_      :				Optional[Any]="relu6"			,			lowerCAmelCase_      :				Union[str, Any]=True			,			lowerCAmelCase_      :				int=0.9_9_9			,			lowerCAmelCase_      :				List[str]=0.0_2			,			lowerCAmelCase_      :				Tuple=0.0_0_1			,			**lowerCAmelCase_      :				Optional[Any]			,			)		->    List[str]:
				super().__init__(**lowerCAmelCase_		)

				if depth_multiplier <= 0:
							raise ValueError("depth_multiplier must be greater than zero."		)

				UpperCAmelCase_  :				Optional[int]      =      num_channels
				UpperCAmelCase_  :				Any      =      image_size
				UpperCAmelCase_  :				Union[str, Any]      =      depth_multiplier
				UpperCAmelCase_  :				List[str]      =      min_depth
				UpperCAmelCase_  :				Optional[int]      =      hidden_act
				UpperCAmelCase_  :				List[str]      =      tf_padding
				UpperCAmelCase_  :				List[Any]      =      classifier_dropout_prob
				UpperCAmelCase_  :				Dict      =      initializer_range
				UpperCAmelCase_  :				Tuple      =      layer_norm_eps







class     UpperCamelCase_ (__A  ):
	__magic_name__			   =       version.parse('''1.11'''  )





	@property
	def   _SCREAMING_SNAKE_CASE   (   self      :				Union[str, Any]		)		->    Mapping[str, Mapping[int, str]]:
				return OrderedDict([("pixel_values", {0: "batch"})]		)





	@property
	def   _SCREAMING_SNAKE_CASE   (   self      :				List[Any]		)		->    Mapping[str, Mapping[int, str]]:
				if self.task == "image-classification":
							return OrderedDict([("logits", {0: "batch"})]		)
				else:
							return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]		)





	@property
	def   _SCREAMING_SNAKE_CASE   (   self      :				str		)		->    float:
				return 1e-4











"""simple docstring"""
import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


lowerCamelCase_       			=   pytest.mark.integration

@pytest.mark.parametrize("path"			,["paws", "csv"]		)
def        snake_case   (     A__			,A__		):
			inspect_dataset(A__			,A__		)
			UpperCAmelCase_  :				Tuple      =      path + ".py"
			assert script_name in os.listdir(A__		)
			assert "__pycache__" not in os.listdir(A__		)

@pytest.mark.filterwarnings("ignore:inspect_metric is deprecated:FutureWarning"		)
@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"		)
@pytest.mark.parametrize("path"			,["accuracy"]		)
def        snake_case   (     A__			,A__		):
			inspect_metric(A__			,A__		)
			UpperCAmelCase_  :				List[str]      =      path + ".py"
			assert script_name in os.listdir(A__		)
			assert "__pycache__" not in os.listdir(A__		)

@pytest.mark.parametrize(
    "path, config_name, expected_splits"			,[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]			,)
def        snake_case   (     A__			,A__			,A__		):
			UpperCAmelCase_  :				Dict      =      get_dataset_config_info(A__			,config_name=A__		)
			assert info.config_name == config_name
			assert list(info.splits.keys()		) == expected_splits

@pytest.mark.parametrize(
    "path, config_name, expected_exception"			,[
        ("paws", None, ValueError),
    ]			,)
def        snake_case   (     A__			,A__			,A__		):
			with pytest.raises(A__		):
						get_dataset_config_info(A__			,config_name=A__		)

@pytest.mark.parametrize(
    "path, expected"			,[
        ("squad", "plain_text"),
        ("acronym_identification", "default"),
        ("lhoestq/squad", "plain_text"),
        ("lhoestq/test", "default"),
        ("lhoestq/demo1", "lhoestq--demo1"),
        ("dalle-mini/wit", "dalle-mini--wit"),
    ]			,)
def        snake_case   (     A__			,A__		):
			UpperCAmelCase_  :				str      =      get_dataset_config_names(A__		)
			assert expected in config_names

@pytest.mark.parametrize(
    "path, expected_configs, expected_splits_in_first_config"			,[
        ("squad", ["plain_text"], ["train", "validation"]),
        ("dalle-mini/wit", ["dalle-mini--wit"], ["train"]),
        ("paws", ["labeled_final", "labeled_swap", "unlabeled_final"], ["train", "test", "validation"]),
    ]			,)
def        snake_case   (     A__			,A__			,A__		):
			UpperCAmelCase_  :				List[str]      =      get_dataset_infos(A__		)
			assert list(infos.keys()		) == expected_configs
			UpperCAmelCase_  :				List[str]      =      expected_configs[0]
			assert expected_config in infos
			UpperCAmelCase_  :				int      =      infos[expected_config]
			assert info.config_name == expected_config
			assert list(info.splits.keys()		) == expected_splits_in_first_config

@pytest.mark.parametrize(
    "path, expected_config, expected_splits"			,[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]			,)
def        snake_case   (     A__			,A__			,A__		):
			UpperCAmelCase_  :				Optional[Any]      =      get_dataset_infos(A__		)
			assert expected_config in infos
			UpperCAmelCase_  :				Union[str, Any]      =      infos[expected_config]
			assert info.config_name == expected_config
			assert list(info.splits.keys()		) == expected_splits




@pytest.mark.parametrize(
    "path, config_name, expected_exception"			,[
        ("paws", None, ValueError),
    ]			,)
def        snake_case   (     A__			,A__			,A__		):
			with pytest.raises(A__		):
						get_dataset_split_names(A__			,config_name=A__		)



