






"""simple docstring"""





from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader






class      a						(					__SCREAMING_SNAKE_CASE		):






    def __init__(       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							pyspark.sql.DataFrame       ,						__SCREAMING_SNAKE_CASE     :							Optional[NamedSplit] = None       ,						__SCREAMING_SNAKE_CASE     :							Optional[Features] = None       ,						__SCREAMING_SNAKE_CASE     :							bool = True       ,						__SCREAMING_SNAKE_CASE     :							str = None       ,						__SCREAMING_SNAKE_CASE     :							bool = False       ,						__SCREAMING_SNAKE_CASE     :							str = None       ,						__SCREAMING_SNAKE_CASE     :							bool = True       ,						__SCREAMING_SNAKE_CASE     :							str = "arrow"       ,						**__SCREAMING_SNAKE_CASE     :							List[Any]       ,						)     ->		str:
      super().__init__(
          split=__SCREAMING_SNAKE_CASE       ,						features=__SCREAMING_SNAKE_CASE       ,						cache_dir=__SCREAMING_SNAKE_CASE       ,						keep_in_memory=__SCREAMING_SNAKE_CASE       ,						streaming=__SCREAMING_SNAKE_CASE       ,						**__SCREAMING_SNAKE_CASE       ,						)
      lowerCamelCase_         =						load_from_cache_file
      lowerCamelCase_         =						file_format
      lowerCamelCase_         =						Spark(
          df=__SCREAMING_SNAKE_CASE       ,						features=__SCREAMING_SNAKE_CASE       ,						cache_dir=__SCREAMING_SNAKE_CASE       ,						working_dir=__SCREAMING_SNAKE_CASE       ,						**__SCREAMING_SNAKE_CASE       ,						)






    def    UpperCamelCase       (       self     :							Optional[Any]					)     ->		int:
      if self.streaming:
        return self.builder.as_streaming_dataset(split=self.split					)
      lowerCamelCase_         =						None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
      self.builder.download_and_prepare(
          download_mode=__SCREAMING_SNAKE_CASE       ,						file_format=self._file_format       ,						)
      return self.builder.as_dataset(split=self.split					)






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


SCREAMING_SNAKE_CASE							:Optional[Any]							 =				logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							:List[Any]							 =				{
    'hustvl/yolos-small': 'https://huggingface.co/hustvl/yolos-small/resolve/main/config.json',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     "yolos"






	def __init__(       self					: Any							,A					: Optional[Any]=7_68							,A					: Dict=12							,A					: Any=12							,A					: str=30_72							,A					: Any="gelu"							,A					: str=0.0							,A					: List[str]=0.0							,A					: Dict=0.02							,A					: int=1E-12							,A					: Tuple=[5_12, 8_64]							,A					: List[Any]=16							,A					: str=3							,A					: str=True							,A					: Any=1_00							,A					: Dict=True							,A					: Dict=False							,A					: Tuple=1							,A					: Union[str, Any]=5							,A					: Optional[Any]=2							,A					: Union[str, Any]=5							,A					: int=2							,A					: int=0.1							,**A					: List[str]							,):
					super().__init__(**A )

					__A   			= hidden_size
					__A   			= num_hidden_layers
					__A   			= num_attention_heads
					__A   			= intermediate_size
					__A   			= hidden_act
					__A   			= hidden_dropout_prob
					__A   			= attention_probs_dropout_prob
					__A   			= initializer_range
					__A   			= layer_norm_eps
					__A   			= image_size
					__A   			= patch_size
					__A   			= num_channels
					__A   			= qkv_bias
					__A   			= num_detection_tokens
					__A   			= use_mid_position_embeddings
					__A   			= auxiliary_loss
					# Hungarian matcher
					__A   			= class_cost
					__A   			= bbox_cost
					__A   			= giou_cost
					# Loss coefficients
					__A   			= bbox_loss_coefficient
					__A   			= giou_loss_coefficient
					__A   			= eos_coefficient





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     version.parse("1.11"  )






	@property
	def 				UpperCamelCase_  (       self					: str ):
					return OrderedDict(
					    [
					        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
					    ] )






	@property
	def 				UpperCamelCase_  (       self					: List[Any] ):
					return 1E-4







	@property
	def 				UpperCamelCase_  (       self					: Optional[Any] ):
					return 12
