'''simple docstring'''

from __future__ import annotations

import random
from collections.abc import Iterable




class 		SCREAMING_SNAKE_CASE_				:



   """simple docstring"""






   def __init__(       self							, snake_case_				):
         snake_case   :					dict[str, bool | None]							=						{literal: None for literal in literals}



   def __str__(       self				):
         return "{" + " , ".join(self.literals				) + "}"



   def __len__(       self				):
         return len(self.literals				)



   def      lowerCamelCase   (       self							, snake_case_				):
         for literal in self.literals:
               snake_case   :					Union[str, Any]							=						literal[:2]
               if symbol in model:
                     snake_case   :					str							=						model[symbol]
               else:
                     continue
               if value is not None:
                     # Complement assignment if literal is in complemented form
                     if literal.endswith("'"				):
                           snake_case   :					Dict							=						not value
               snake_case   :					str							=						value






   def      lowerCamelCase   (       self							, snake_case_				):
         for literal in self.literals:
               snake_case   :					int							=						literal.rstrip("'"				) if literal.endswith("'"				) else literal + "'"
               if symbol in self.literals:
                     return True

         self.assign(snake_case_				)
         for value in self.literals.values():
               if value in (True, None):
                     return value
         return any(self.literals.values()				)







class 		SCREAMING_SNAKE_CASE_				:



   """simple docstring"""






   def __init__(       self							, snake_case_				):
         snake_case   :					Tuple							=						list(snake_case_				)






   def __str__(       self				):
         return "{" + " , ".join(str(snake_case_				) for clause in self.clauses				) + "}"







def 					UpperCAmelCase__      (							)						->		Clause:



      """simple docstring"""

      snake_case   :					Optional[Any]							=						[]
      snake_case   :					Optional[Any]							=						random.randint(1,			5)
      snake_case   :					Tuple							=						"A"
      snake_case   :					Optional[Any]							=						0
      while i < no_of_literals:
            snake_case   :					Union[str, Any]							=						random.randint(1,			5)
            snake_case   :					List[Any]							=						base_var + str(_lowerCAmelCase)
            snake_case   :					Union[str, Any]							=						random.randint(0,			1)
            if var_complement == 1:
                  var_name += "'"
            if var_name in literals:
                  i -= 1
            else:
                  literals.append(_lowerCAmelCase)
            i += 1
      return Clause(_lowerCAmelCase)


def 					UpperCAmelCase__      (							)						->		Formula:



      """simple docstring"""

      snake_case   :					set[Clause]							=						set()
      snake_case   :					Union[str, Any]							=						random.randint(1,			10)
      while len(_lowerCAmelCase) < no_of_clauses:
            clauses.add(generate_clause())
      return Formula(_lowerCAmelCase)


def 					UpperCAmelCase__      (							_lowerCAmelCase						: Formula)						->		tuple[list[Clause], list[str]]:



      """simple docstring"""

      snake_case   :					Dict							=						formula.clauses
      snake_case   :					List[Any]							=						[]
      for clause in formula.clauses:
            for literal in clause.literals:
                  snake_case   :					Any							=						literal[:2]
                  if symbol not in symbols_set:
                        symbols_set.append(_lowerCAmelCase)
      return clauses, symbols_set


def 					UpperCAmelCase__      (							_lowerCAmelCase						: list[Clause],			_lowerCAmelCase						: list[str],			_lowerCAmelCase						: dict[str, bool | None])						->		tuple[list[str], dict[str, bool | None]]:



      """simple docstring"""

      snake_case   :					Optional[int]							=						[]
      snake_case   :					dict[str, bool | None]							=						{}
      snake_case   :					Dict							=						[]

      for clause in clauses:
            if clause.evaluate(_lowerCAmelCase):
                  continue
            for literal in clause.literals:
                  literals.append(_lowerCAmelCase)

      for s in symbols:
            snake_case   :					Dict							=						s + "'"
            if (s in literals and sym not in literals) or (
                s not in literals and sym in literals
            ):
                  pure_symbols.append(_lowerCAmelCase)
      for p in pure_symbols:
            snake_case   :					List[Any]							=						None
      for s in pure_symbols:
            snake_case   :					Optional[Any]							=						s + "'"
            if s in literals:
                  snake_case   :					Dict							=						True
            elif sym in literals:
                  snake_case   :					Tuple							=						False
      return pure_symbols, assignment


def 					UpperCAmelCase__      (							_lowerCAmelCase						: list[Clause],			_lowerCAmelCase						: dict[str, bool | None])						->		tuple[list[str], dict[str, bool | None]]:



      """simple docstring"""

      snake_case   :					Any							=						[]
      for clause in clauses:
            if len(_lowerCAmelCase) == 1:
                  unit_symbols.append(list(clause.literals.keys())[0])
            else:
                  snake_case   :					Union[str, Any]							=						0, 0
                  for literal, value in clause.literals.items():
                        if value is False:
                              f_count += 1
                        elif value is None:
                              snake_case   :					str							=						literal
                              n_count += 1
                  if f_count == len(_lowerCAmelCase) - 1 and n_count == 1:
                        unit_symbols.append(_lowerCAmelCase)
      snake_case   :					dict[str, bool | None]							=						{}
      for i in unit_symbols:
            snake_case   :					str							=						i[:2]
            snake_case   :					Any							=						len(_lowerCAmelCase) == 2
      snake_case   :					int							=						[i[:2] for i in unit_symbols]

      return unit_symbols, assignment


def 					UpperCAmelCase__      (							_lowerCAmelCase						: list[Clause],			_lowerCAmelCase						: list[str],			_lowerCAmelCase						: dict[str, bool | None])						->		tuple[bool | None, dict[str, bool | None] | None]:



      """simple docstring"""

      snake_case   :					Optional[int]							=						True
      for clause in clauses:
            snake_case   :					List[Any]							=						clause.evaluate(_lowerCAmelCase)
            if clause_check is False:
                  return False, None
            elif clause_check is None:
                  snake_case   :					Union[str, Any]							=						False
                  continue

      if check_clause_all_true:
            return True, model

      try:
            snake_case   :					Union[str, Any]							=						find_pure_symbols(_lowerCAmelCase,			_lowerCAmelCase,			_lowerCAmelCase)
      except RecursionError:
            print("raises a RecursionError and is")
            return None, {}
      snake_case   :					Optional[int]							=						None
      if len(_lowerCAmelCase) > 0:
            snake_case   :					List[Any]							=						pure_symbols[0], assignment[pure_symbols[0]]

      if p:
            snake_case   :					str							=						model
            snake_case   :					Union[str, Any]							=						value
            snake_case   :					Optional[Any]							=						list(_lowerCAmelCase)
            if p in tmp_symbols:
                  tmp_symbols.remove(_lowerCAmelCase)
            return dpll_algorithm(_lowerCAmelCase,			_lowerCAmelCase,			_lowerCAmelCase)

      snake_case   :					Any							=						find_unit_clauses(_lowerCAmelCase,			_lowerCAmelCase)
      snake_case   :					Dict							=						None
      if len(_lowerCAmelCase) > 0:
            snake_case   :					List[str]							=						unit_symbols[0], assignment[unit_symbols[0]]
      if p:
            snake_case   :					Any							=						model
            snake_case   :					Union[str, Any]							=						value
            snake_case   :					Optional[int]							=						list(_lowerCAmelCase)
            if p in tmp_symbols:
                  tmp_symbols.remove(_lowerCAmelCase)
            return dpll_algorithm(_lowerCAmelCase,			_lowerCAmelCase,			_lowerCAmelCase)
      snake_case   :					int							=						symbols[0]
      snake_case   :					str							=						symbols[1:]
      snake_case   :					Union[str, Any]							=						model, model
      snake_case   :					Optional[Any]							=						True, False

      return dpll_algorithm(_lowerCAmelCase,			_lowerCAmelCase,			_lowerCAmelCase) or dpll_algorithm(_lowerCAmelCase,			_lowerCAmelCase,			_lowerCAmelCase)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      A_        =   generate_formula()
      print(f"The formula {formula} is", end=" ")

      A_      ,   A_        =   generate_parameters(formula)
      A_      ,   A_        =   dpll_algorithm(clauses, symbols, {})

      if solution:
            print(f"satisfiable with the assignment {model}.")
      else:
            print("not satisfiable.")






'''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


A_        =   logging.get_logger(__name__)

A_        =   {
    "apple/mobilevit-small": "https://huggingface.co/apple/mobilevit-small/resolve/main/config.json",
    "apple/mobilevit-x-small": "https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json",
    "apple/mobilevit-xx-small": "https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json",
    "apple/deeplabv3-mobilevit-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"
    ),
    "apple/deeplabv3-mobilevit-x-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"
    ),
    "apple/deeplabv3-mobilevit-xx-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}




class 		SCREAMING_SNAKE_CASE_				(_UpperCAmelCase			):



			"""simple docstring"""






			__magic_name__   :							Optional[Any]             =					"""mobilevit"""



			def __init__(       self							, snake_case_=3							, snake_case_=256							, snake_case_=2							, snake_case_=[144, 192, 240]							, snake_case_=[16, 32, 64, 96, 128, 160, 640]							, snake_case_=4							, snake_case_=2.0							, snake_case_=4.0							, snake_case_="silu"							, snake_case_=3							, snake_case_=32							, snake_case_=0.1							, snake_case_=0.0							, snake_case_=0.1							, snake_case_=0.02							, snake_case_=1e-5							, snake_case_=True							, snake_case_=256							, snake_case_=[6, 12, 18]							, snake_case_=0.1							, snake_case_=255							, **snake_case_							, ):
									super().__init__(**snake_case_				)

									snake_case   :					Any							=						num_channels
									snake_case   :					Optional[Any]							=						image_size
									snake_case   :					Union[str, Any]							=						patch_size
									snake_case   :					Union[str, Any]							=						hidden_sizes
									snake_case   :					List[Any]							=						neck_hidden_sizes
									snake_case   :					Optional[Any]							=						num_attention_heads
									snake_case   :					Any							=						mlp_ratio
									snake_case   :					List[str]							=						expand_ratio
									snake_case   :					Tuple							=						hidden_act
									snake_case   :					Tuple							=						conv_kernel_size
									snake_case   :					int							=						output_stride
									snake_case   :					Dict							=						hidden_dropout_prob
									snake_case   :					List[str]							=						attention_probs_dropout_prob
									snake_case   :					int							=						classifier_dropout_prob
									snake_case   :					str							=						initializer_range
									snake_case   :					Optional[int]							=						layer_norm_eps
									snake_case   :					Dict							=						qkv_bias

									# decode head attributes for semantic segmentation
									snake_case   :					Optional[int]							=						aspp_out_channels
									snake_case   :					Dict							=						atrous_rates
									snake_case   :					Any							=						aspp_dropout_prob
									snake_case   :					Any							=						semantic_loss_ignore_index







class 		SCREAMING_SNAKE_CASE_				(_UpperCAmelCase			):



			"""simple docstring"""






			__magic_name__   :							Union[str, Any]             =					version.parse("""1.11"""			)



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



			@property
			def      lowerCamelCase   (       self				):
									if self.task == "image-classification":
															return OrderedDict([("logits", {0: "batch"})]				)
									else:
															return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]				)






			@property
			def      lowerCamelCase   (       self				):
									return 1e-4





