






from typing import Callable, Dict, Optional, Tuple

import torch
from torch import nn
from torch.distributions import (
    AffineTransform,
    Distribution,
    Independent,
    NegativeBinomial,
    Normal,
    StudentT,
    TransformedDistribution,
)







class 	_UpperCAmelCase  (  _A		):




      """simple docstring"""



      def __init__(   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase=None    ,	_lowerCAmelCase=None    ,	_lowerCAmelCase=0		):



          '''simple docstring'''
          lowerCAmelCase__   :Optional[Any]      							=				1.0 if scale is None else scale
          lowerCAmelCase__   :Any      							=				0.0 if loc is None else loc

          super().__init__(_lowerCAmelCase    ,	[AffineTransform(loc=self.loc    ,	scale=self.scale    ,	event_dim=_lowerCAmelCase		)]		)
      @property
      def 			snake_case_      (   self		):



          '''simple docstring'''
          return self.base_dist.mean * self.scale + self.loc
      @property
      def 			snake_case_      (   self		):



          '''simple docstring'''
          return self.base_dist.variance * self.scale**2



      @property
      def 			snake_case_      (   self		):



          '''simple docstring'''
          return self.variance.sqrt()







class 	_UpperCAmelCase  (  nn.Module		):




      """simple docstring"""



      def __init__(   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase    ,	_lowerCAmelCase    ,	**_lowerCAmelCase		):



          '''simple docstring'''
          super().__init__(**_lowerCAmelCase		)
          lowerCAmelCase__   :Any      							=				args_dim
          lowerCAmelCase__   :Optional[int]      							=				nn.ModuleList([nn.Linear(_lowerCAmelCase    ,	_lowerCAmelCase		) for dim in args_dim.values()]		)
          lowerCAmelCase__   :Any      							=				domain_map



      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          lowerCAmelCase__   :str      							=				[proj(_lowerCAmelCase		) for proj in self.proj]

          return self.domain_map(*_lowerCAmelCase		)







class 	_UpperCAmelCase  (  nn.Module		):




      """simple docstring"""



      def __init__(   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          super().__init__()
          lowerCAmelCase__   :Tuple      							=				function



      def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	*_lowerCAmelCase		):



          '''simple docstring'''
          return self.function(_lowerCAmelCase    ,	*_lowerCAmelCase		)







class 	_UpperCAmelCase  :




      """simple docstring"""



      A          =    42
      A          =    42
      A          =    42
      def __init__(   self    ,	_lowerCAmelCase = 1		):



          '''simple docstring'''
          lowerCAmelCase__   :Optional[Any]      							=				dim
          lowerCAmelCase__   :Optional[int]      							=				{k: dim * self.args_dim[k] for k in self.args_dim}
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          if self.dim == 1:
              return self.distribution_class(*_lowerCAmelCase		)
          else:
              return Independent(self.distribution_class(*_lowerCAmelCase		)    ,	1		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase = None    ,	_lowerCAmelCase = None    ,	):



          '''simple docstring'''
          lowerCAmelCase__   :Optional[Any]      							=				self._base_distribution(_lowerCAmelCase		)
          if loc is None and scale is None:
              return distr
          else:
              return AffineTransformed(_lowerCAmelCase    ,	loc=_lowerCAmelCase    ,	scale=_lowerCAmelCase    ,	event_dim=self.event_dim		)
      @property
      def 			snake_case_      (   self		):



          '''simple docstring'''
          return () if self.dim == 1 else (self.dim,)
      @property
      def 			snake_case_      (   self		):



          '''simple docstring'''
          return len(self.event_shape		)
      @property
      def 			snake_case_      (   self		):



          '''simple docstring'''
          return 0.0
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          return ParameterProjection(
              in_features=_lowerCAmelCase    ,	args_dim=self.args_dim    ,	domain_map=LambdaLayer(self.domain_map		)    ,	)
      def 			snake_case_      (   self    ,	*_lowerCAmelCase		):



          '''simple docstring'''
          raise NotImplementedError()



      @staticmethod
      def 			snake_case_      (   _lowerCAmelCase		):



          '''simple docstring'''
          return (x + torch.sqrt(torch.square(_lowerCAmelCase		) + 4.0		)) / 2.0







class 	_UpperCAmelCase  (  _A		):




      """simple docstring"""



      A          =    {'''df''': 1, '''loc''': 1, '''scale''': 1}
      A          =    StudentT
      @classmethod
      def 			snake_case_      (   cls    ,	_lowerCAmelCase    ,	_lowerCAmelCase    ,	_lowerCAmelCase		):



          '''simple docstring'''
          lowerCAmelCase__   :str      							=				cls.squareplus(_lowerCAmelCase		).clamp_min(torch.finfo(scale.dtype		).eps		)
          lowerCAmelCase__   :Union[str, Any]      							=				2.0 + cls.squareplus(_lowerCAmelCase		)
          return df.squeeze(-1		), loc.squeeze(-1		), scale.squeeze(-1		)







class 	_UpperCAmelCase  (  _A		):




      """simple docstring"""



      A          =    {'''loc''': 1, '''scale''': 1}
      A          =    Normal
      @classmethod
      def 			snake_case_      (   cls    ,	_lowerCAmelCase    ,	_lowerCAmelCase		):



          '''simple docstring'''
          lowerCAmelCase__   :str      							=				cls.squareplus(_lowerCAmelCase		).clamp_min(torch.finfo(scale.dtype		).eps		)
          return loc.squeeze(-1		), scale.squeeze(-1		)







class 	_UpperCAmelCase  (  _A		):




      """simple docstring"""



      A          =    {'''total_count''': 1, '''logits''': 1}
      A          =    NegativeBinomial
      @classmethod
      def 			snake_case_      (   cls    ,	_lowerCAmelCase    ,	_lowerCAmelCase		):



          '''simple docstring'''
          lowerCAmelCase__   :List[str]      							=				cls.squareplus(_lowerCAmelCase		)
          return total_count.squeeze(-1		), logits.squeeze(-1		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          lowerCAmelCase__   :int      							=				distr_args
          if self.dim == 1:
              return self.distribution_class(total_count=_lowerCAmelCase    ,	logits=_lowerCAmelCase		)
          else:
              return Independent(self.distribution_class(total_count=_lowerCAmelCase    ,	logits=_lowerCAmelCase		)    ,	1		)



      def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase = None    ,	_lowerCAmelCase = None		):



          '''simple docstring'''
          lowerCAmelCase__   :Any      							=				distr_args

          if scale is not None:
              # See scaling property of Gamma.
              logits += scale.log()

          return self._base_distribution((total_count, logits)		)











from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info


def 				snake_case__							(							UpperCAmelCase							:  Dict       ):
    return {key.lstrip("-"       ): value for key, value in zip(unknown_args[::2]    ,			unknown_args[1::2]       )}


def 				snake_case__							(							):
    lowerCAmelCase__   :str      							=				ArgumentParser(
        "HuggingFace Datasets CLI tool"    ,			usage="datasets-cli <command> [<args>]"    ,			allow_abbrev=UpperCAmelCase       )
    lowerCAmelCase__   :Any      							=				parser.add_subparsers(help="datasets-cli command helpers"       )
    set_verbosity_info()

    # Register commands
    ConvertCommand.register_subcommand(UpperCAmelCase       )
    EnvironmentCommand.register_subcommand(UpperCAmelCase       )
    TestCommand.register_subcommand(UpperCAmelCase       )
    RunBeamCommand.register_subcommand(UpperCAmelCase       )
    DummyDataCommand.register_subcommand(UpperCAmelCase       )

    # Parse args
    lowerCAmelCase__							,lowerCAmelCase__   :int      							=				parser.parse_known_args()
    if not hasattr(UpperCAmelCase    ,			"func"       ):
        parser.print_help()
        exit(1       )
    lowerCAmelCase__   :Optional[int]      							=				parse_unknown_args(UpperCAmelCase       )

    # Run
    lowerCAmelCase__   :str      							=				args.func(UpperCAmelCase    ,			**UpperCAmelCase       )
    service.run()


if __name__ == "__main__":
 main()



