
import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict

@dataclass
class __snake_case		(      __lowercase     ):
    _a		:						Tuple=				ComputeEnvironment.AMAZON_SAGEMAKER
    _a		:						str=				True
    _a		:						List[Any]=				"ml.p3.2xlarge"
    _a		:						str=				"accelerate_sagemaker_execution_role"
    _a		:						Optional[Any]=				"hf-sm"
    _a		:						Tuple=				"us-east-1"
    _a		:						List[Any]=				1
    _a		:						str=				"accelerate-sagemaker-1"
    _a		:						Union[str, Any]=				"1.6"
    _a		:						Optional[int]=				"4.4"
    _a		:						List[str]=				"train.py"
    _a		:						Dict=				[
        "--model_name_or_path",
        "bert",
        "--do_train",
        "False",
        "--epochs",
        "3",
        "--learning_rate",
        "5e-5",
        "--max_steps",
        "50.5",
    ]
    _a		:						Any=				[
        "--model_name_or_path",
        "bert",
        "--do_train",
        "--do_test",
        "False",
        "--do_predict",
        "--epochs",
        "3",
        "--learning_rate",
        "5e-5",
        "--max_steps",
        "50.5",
    ]






class __snake_case		(      unittest.TestCase     ):
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           lowercase							:     Optional[int]       	=      _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args      )
           assert isinstance(converted_args["""model_name_or_path"""]		,snake_case      )
           assert isinstance(converted_args["""do_train"""]		,snake_case      )
           assert isinstance(converted_args["""epochs"""]		,snake_case      )
           assert isinstance(converted_args["""learning_rate"""]		,snake_case      )
           assert isinstance(converted_args["""max_steps"""]		,snake_case      )

           with pytest.raises(snake_case      ):
                  _convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args      )


import argparse
import datetime




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			str)					->    str:






							'''simple docstring'''





							__UpperCamelCase	:   str			   =					{
							    "0": "Sunday",
							    "1": "Monday",
							    "2": "Tuesday",
							    "3": "Wednesday",
							    "4": "Thursday",
							    "5": "Friday",
							    "6": "Saturday",
							}

							__UpperCamelCase	:   List[str]			   =					{0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 0}

							# Validate
							if not 0 < len(_lowerCamelCase) < 11:
														raise ValueError("Must be 10 characters long")

							# Get month
							__UpperCamelCase	:   int			   =					int(date_input[0] + date_input[1])
							# Validate
							if not 0 < m < 13:
														raise ValueError("Month must be between 1 - 12")

							__UpperCamelCase	:   str			   =					date_input[2]
							# Validate
							if sep_a not in ["-", "/"]:
														raise ValueError("Date separator must be '-' or '/'")

							# Get day
							__UpperCamelCase	:   int			   =					int(date_input[3] + date_input[4])
							# Validate
							if not 0 < d < 32:
														raise ValueError("Date must be between 1 - 31")

							# Get second separator
							__UpperCamelCase	:   str			   =					date_input[5]
							# Validate
							if sep_a not in ["-", "/"]:
														raise ValueError("Date separator must be '-' or '/'")

							# Get year
							__UpperCamelCase	:   int			   =					int(date_input[6] + date_input[7] + date_input[8] + date_input[9])
							# Arbitrary year range
							if not 45 < y < 8_500:
														raise ValueError(
														    "Year out of range. There has to be some sort of limit...right?")

							# Get datetime obj for validation
							__UpperCamelCase	:   Union[str, Any]			   =					datetime.date(int(_lowerCamelCase)						,  int(_lowerCamelCase)						,  int(_lowerCamelCase))

							# Start math
							if m <= 2:
														__UpperCamelCase	:   Any			   =					y - 1
														__UpperCamelCase	:   Optional[Any]			   =					m + 12
							# maths var
							__UpperCamelCase	:   int			   =					int(str(_lowerCamelCase)[:2])
							__UpperCamelCase	:   int			   =					int(str(_lowerCamelCase)[2:])
							__UpperCamelCase	:   int			   =					int(2.6 * m - 5.3_9)
							__UpperCamelCase	:   int			   =					int(c / 4)
							__UpperCamelCase	:   int			   =					int(k / 4)
							__UpperCamelCase	:   int			   =					int(d + k)
							__UpperCamelCase	:   int			   =					int(t + u + v + x)
							__UpperCamelCase	:   int			   =					int(z - (2 * c))
							__UpperCamelCase	:   int			   =					round(w % 7)
							# End math

							# Validate math
							if f != convert_datetime_days[dt_ck.weekday()]:
														raise AssertionError("The date was evaluated incorrectly. Contact developer.")

							# Response
							__UpperCamelCase	:   str			   =					F'Your date {date_input}, is a {days[str(_lowerCamelCase)]}!'
							return response


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		lowercase  :					Optional[int]													=       argparse.ArgumentParser(
		    description=(
		        'Find out what day of the week nearly any date is or was. Enter '
		        'date as a string in the mm-dd-yyyy or mm/dd/yyyy format'
		    )
		)
		parser.add_argument(
		    'date_input', type=str, help='Date as a string (mm-dd-yyyy or mm/dd/yyyy)'
		)
		lowercase  :					Tuple													=       parser.parse_args()
		zeller(args.date_input)