






"""simple docstring"""



import os
import unittest
from tempfile import TemporaryDirectory

import torch
import torch.nn as nn

from accelerate.utils import (
    OffloadedWeightsLoader,
    extract_submodules_state_dict,
    load_offloaded_weight,
    offload_state_dict,
    offload_weight,
)







class    lowercase__			(							nn.Module   ):


			def __init__(      self     :  List[str]					):
										super().__init__()
										lowerCamelCase_       :							Optional[Any]									=nn.Linear(3   ,       4					)
										lowerCamelCase_       :							List[Any]									=nn.BatchNormad(4					)
										lowerCamelCase_       :							Any									=nn.Linear(4   ,       5					)


			def 	UpperCAmelCase__						(      self     :  str   ,       snake_case__     :  Optional[Any]					):
										return self.lineara(self.batchnorm(self.lineara(a_					)					)					)







class    lowercase__			(							unittest.TestCase   ):


			def 	UpperCAmelCase__						(      self     :  int					):
										lowerCamelCase_       :							Union[str, Any]									=ModelForTest()
										with TemporaryDirectory() as tmp_dir:
																	offload_state_dict(a_   ,       model.state_dict()					)
																	lowerCamelCase_       :							Dict									=os.path.join(a_   ,       "index.json"					)
																	self.assertTrue(os.path.isfile(a_					)					)
																	# TODO: add tests on what is inside the index

																	for key in ["linear1.weight", "linear1.bias", "linear2.weight", "linear2.bias"]:
																								lowerCamelCase_       :							Tuple									=os.path.join(a_   ,       F"""{key}.dat"""					)
																								self.assertTrue(os.path.isfile(a_					)					)
																								# TODO: add tests on the fact weights are properly loaded


			def 	UpperCAmelCase__						(      self     :  Tuple					):
										lowerCamelCase_       :							List[Any]									=[torch.floataa, torch.floataa, torch.bfloataa]

										for dtype in dtypes:
																	lowerCamelCase_       :							List[Any]									=torch.randn(2   ,       3   ,       dtype=a_					)
																	with TemporaryDirectory() as tmp_dir:
																								lowerCamelCase_       :							Optional[int]									=offload_weight(a_   ,       "weight"   ,       a_   ,       {}					)
																								lowerCamelCase_       :							Optional[int]									=os.path.join(a_   ,       "weight.dat"					)
																								self.assertTrue(os.path.isfile(a_					)					)
																								self.assertDictEqual(a_   ,       {"weight": {"shape": [2, 3], "dtype": str(a_					).split("."					)[1]}}					)

																								lowerCamelCase_       :							int									=load_offloaded_weight(a_   ,       index["weight"]					)
																								self.assertTrue(torch.equal(a_   ,       a_					)					)


			def 	UpperCAmelCase__						(      self     :  Tuple					):
										lowerCamelCase_       :							int									=ModelForTest()
										lowerCamelCase_       :							int									=model.state_dict()
										lowerCamelCase_       :							Any									={k: v for k, v in state_dict.items() if """linear2""" not in k}
										lowerCamelCase_       :							Optional[int]									={k: v for k, v in state_dict.items() if """linear2""" in k}

										with TemporaryDirectory() as tmp_dir:
																	offload_state_dict(a_   ,       a_					)
																	lowerCamelCase_       :							Optional[int]									=OffloadedWeightsLoader(state_dict=a_   ,       save_folder=a_					)

																	# Every key is there with the right value
																	self.assertEqual(sorted(a_					)   ,       sorted(state_dict.keys()					)					)
																	for key, param in state_dict.items():
																								self.assertTrue(torch.allclose(a_   ,       weight_map[key]					)					)

										lowerCamelCase_       :							Tuple									={k: v for k, v in state_dict.items() if """weight""" in k}
										lowerCamelCase_       :							List[str]									={k: v for k, v in state_dict.items() if """weight""" not in k}

										with TemporaryDirectory() as tmp_dir:
																	offload_state_dict(a_   ,       a_					)
																	lowerCamelCase_       :							Dict									=OffloadedWeightsLoader(state_dict=a_   ,       save_folder=a_					)

																	# Every key is there with the right value
																	self.assertEqual(sorted(a_					)   ,       sorted(state_dict.keys()					)					)
																	for key, param in state_dict.items():
																								self.assertTrue(torch.allclose(a_   ,       weight_map[key]					)					)

										with TemporaryDirectory() as tmp_dir:
																	offload_state_dict(a_   ,       a_					)
																	# Duplicates are removed
																	lowerCamelCase_       :							int									=OffloadedWeightsLoader(state_dict=a_   ,       save_folder=a_					)

																	# Every key is there with the right value
																	self.assertEqual(sorted(a_					)   ,       sorted(state_dict.keys()					)					)
																	for key, param in state_dict.items():
																								self.assertTrue(torch.allclose(a_   ,       weight_map[key]					)					)


			def 	UpperCAmelCase__						(      self     :  List[str]					):
										lowerCamelCase_       :							int									={"""a.1""": 0, """a.10""": 1, """a.2""": 2}
										lowerCamelCase_       :							Tuple									=extract_submodules_state_dict(a_   ,       ["a.1", "a.2"]					)
										self.assertDictEqual(a_   ,       {"a.1": 0, "a.2": 2}					)

										lowerCamelCase_       :							Optional[int]									={"""a.1.a""": 0, """a.10.a""": 1, """a.2.a""": 2}
										lowerCamelCase_       :							Tuple									=extract_submodules_state_dict(a_   ,       ["a.1", "a.2"]					)
										self.assertDictEqual(a_   ,       {"a.1.a": 0, "a.2.a": 2}					)









"""simple docstring"""


from __future__ import annotations

from collections.abc import Sequence
from typing import Literal


def 					UpperCAmelCase__       (snake_case__							:					str		,   snake_case__							:					str    ):
  """simple docstring"""

  _snake_case							:		Optional[Any]								=  list(snake_case__    )
  _snake_case							:		List[Any]								=  list(snake_case__    )
  _snake_case							:		List[Any]								=  0
  for i in range(len(snake_case__    )    ):
    if lista[i] != lista[i]:
      count += 1
      _snake_case							:		Any								=  """_"""
  if count > 1:
    return False
  else:
    return "".join(snake_case__    )


def 					UpperCAmelCase__       (snake_case__							:					list[str]    ):
  """simple docstring"""

  _snake_case							:		int								=  []
  while True:
    _snake_case							:		Union[str, Any]								=  ["""$"""] * len(snake_case__    )
    _snake_case							:		int								=  []
    for i in range(len(snake_case__    )    ):
      for j in range(i + 1		,   len(snake_case__    )    ):
        _snake_case							:		List[Any]								=  compare_string(binary[i]		,   binary[j]    )
        if k is False:
          _snake_case							:		Dict								=  """*"""
          _snake_case							:		List[Any]								=  """*"""
          temp.append("""X"""    )
    for i in range(len(snake_case__    )    ):
      if checka[i] == "$":
        pi.append(binary[i]    )
    if len(snake_case__    ) == 0:
      return pi
    _snake_case							:		Optional[int]								=  list(set(snake_case__    )    )


def 					UpperCAmelCase__       (snake_case__							:					int		,   snake_case__							:					Sequence[float]    ):
  """simple docstring"""

  _snake_case							:		Optional[int]								=  []
  for minterm in minterms:
    _snake_case							:		Any								=  """"""
    for _ in range(snake_case__    ):
      _snake_case							:		Optional[Any]								=  str(minterm % 2    ) + string
      minterm //= 2
    temp.append(snake_case__    )
  return temp


def 					UpperCAmelCase__       (snake_case__							:					str		,   snake_case__							:					str		,   snake_case__							:					int    ):
  """simple docstring"""

  _snake_case							:		Dict								=  list(snake_case__    )
  _snake_case							:		List[str]								=  list(snake_case__    )
  _snake_case							:		Tuple								=  0
  for i in range(len(snake_case__    )    ):
    if lista[i] != lista[i]:
      count_n += 1
  return count_n == count


def 					UpperCAmelCase__       (snake_case__							:					list[list[int]]		,   snake_case__							:					list[str]    ):
  """simple docstring"""

  _snake_case							:		Any								=  []
  _snake_case							:		Union[str, Any]								=  [0] * len(snake_case__    )
  for i in range(len(chart[0]    )    ):
    _snake_case							:		Tuple								=  0
    _snake_case							:		str								=  -1
    for j in range(len(snake_case__    )    ):
      if chart[j][i] == 1:
        count += 1
        _snake_case							:		Union[str, Any]								=  j
    if count == 1:
      _snake_case							:		Union[str, Any]								=  1
  for i in range(len(snake_case__    )    ):
    if select[i] == 1:
      for j in range(len(chart[0]    )    ):
        if chart[i][j] == 1:
          for k in range(len(snake_case__    )    ):
            _snake_case							:		List[Any]								=  0
      temp.append(prime_implicants[i]    )
  while True:
    _snake_case							:		Optional[int]								=  0
    _snake_case							:		str								=  -1
    _snake_case							:		Any								=  0
    for i in range(len(snake_case__    )    ):
      _snake_case							:		Union[str, Any]								=  chart[i].count(1    )
      if count_n > max_n:
        _snake_case							:		Dict								=  count_n
        _snake_case							:		Dict								=  i

    if max_n == 0:
      return temp

    temp.append(prime_implicants[rem]    )

    for i in range(len(chart[0]    )    ):
      if chart[rem][i] == 1:
        for j in range(len(snake_case__    )    ):
          _snake_case							:		Optional[Any]								=  0


def 					UpperCAmelCase__       (snake_case__							:					list[str]		,   snake_case__							:					list[str]    ):
  """simple docstring"""

  _snake_case							:		int								=  [[0 for x in range(len(snake_case__    )    )] for x in range(len(snake_case__    )    )]
  for i in range(len(snake_case__    )    ):
    _snake_case							:		Any								=  prime_implicants[i].count("""_"""    )
    for j in range(len(snake_case__    )    ):
      if is_for_table(prime_implicants[i]		,   binary[j]		,   snake_case__    ):
        _snake_case							:		Tuple								=  1

  return chart


def 					UpperCAmelCase__       ():
  """simple docstring"""

  _snake_case							:		int								=  int(input("""Enter the no. of variables\n"""    )    )
  _snake_case							:		List[str]								=  [
      float(snake_case__    )
      for x in input(
          """Enter the decimal representation of Minterms 'Spaces Separated'\n"""    ).split()
  ]
  _snake_case							:		List[str]								=  decimal_to_binary(snake_case__		,   snake_case__    )

  _snake_case							:		str								=  check(snake_case__    )
  print("""Prime Implicants are:"""    )
  print(snake_case__    )
  _snake_case							:		int								=  prime_implicant_chart(snake_case__		,   snake_case__    )

  _snake_case							:		str								=  selection(snake_case__		,   snake_case__    )
  print("""Essential Prime Implicants are:"""    )
  print(snake_case__    )


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()


