






"""simple docstring"""





# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import json
import os
from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import yaml

from ...utils import ComputeEnvironment, DistributedType, SageMakerDistributedType
from ...utils.constants import SAGEMAKER_PYTHON_VERSION, SAGEMAKER_PYTORCH_VERSION, SAGEMAKER_TRANSFORMERS_VERSION


UpperCamelCase_						:					int      				=			os.path.expanduser(
    os.getenv("""HF_HOME""", os.path.join(os.getenv("""XDG_CACHE_HOME""", """~/.cache"""), """huggingface"""))
)
UpperCamelCase_						:					Tuple      				=			os.path.join(hf_cache_home, """accelerate""")
UpperCamelCase_						:					Union[str, Any]      				=			os.path.join(cache_dir, """default_config.yaml""")
UpperCamelCase_						:					Union[str, Any]      				=			os.path.join(cache_dir, """default_config.yaml""")

# For backward compatibility: the default config is the json one if it's the only existing file.
if os.path.isfile(default_yaml_config_file) or not os.path.isfile(default_json_config_file):
    UpperCamelCase_						:					List[Any]      				=			default_yaml_config_file
else:
    UpperCamelCase_						:					Optional[Any]      				=			default_json_config_file



def      __lowercase       (     a			:					Any			)       ->       List[str]:
      if config_file is not None:
            if not os.path.isfile(a			):
                  raise FileNotFoundError(
                      f'''The passed configuration file `{config_file}` does not exist. '''
                      '''Please pass an existing file to `accelerate launch`, or use the the default one '''
                      '''created through `accelerate config` and run `accelerate launch` '''
                      '''without the `--config_file` argument.'''			)
      else:
            __snake_case   :     Dict	      =default_config_file
      with open(a							,		'''r'''							,		encoding='''utf-8'''			) as f:
            if config_file.endswith('''.json'''			):
                  if (
                      json.load(a			).get('''compute_environment'''							,		ComputeEnvironment.LOCAL_MACHINE			)
                      == ComputeEnvironment.LOCAL_MACHINE
                  ):
                        __snake_case   :     Union[str, Any]	      =ClusterConfig
                  else:
                        __snake_case   :     Any	      =SageMakerConfig
                  return config_class.from_json_file(json_file=a			)
            else:
                  if (
                      yaml.safe_load(a			).get('''compute_environment'''							,		ComputeEnvironment.LOCAL_MACHINE			)
                      == ComputeEnvironment.LOCAL_MACHINE
                  ):
                        __snake_case   :     Tuple	      =ClusterConfig
                  else:
                        __snake_case   :     List[Any]	      =SageMakerConfig
                  return config_class.from_yaml_file(yaml_file=a			)


@dataclass
class   _lowercase			:
      _a :  ComputeEnvironment
      _a :  Union[DistributedType, SageMakerDistributedType]
      _a :  str
      _a :  bool


      def _UpperCamelCase    (     self					:						str    ):





            """simple docstring"""







            __snake_case   :     Optional[Any]	      =self.__dict__
            # For serialization, it's best to convert Enums to strings (or their underlying value type).
            for key, value in result.items():
                  if isinstance(a				, a    ):
                        __snake_case   :     Any	      =value.value
                  if isinstance(a				, a    ) and not bool(a    ):
                        __snake_case   :     List[str]	      =None
            __snake_case   :     int	      ={k: v for k, v in result.items() if v is not None}
            return result


      @classmethod
      def _UpperCamelCase    (     cls					:						Union[str, Any]				, a					:						List[Any]=None    ):





            """simple docstring"""







            __snake_case   :     Union[str, Any]	      =default_json_config_file if json_file is None else json_file
            with open(a				, '''r'''				, encoding='''utf-8'''    ) as f:
                  __snake_case   :     Dict	      =json.load(a    )
            if "compute_environment" not in config_dict:
                  __snake_case   :     Dict	      =ComputeEnvironment.LOCAL_MACHINE
            if "mixed_precision" not in config_dict:
                  __snake_case   :     List[str]	      ='''fp16''' if ('''fp16''' in config_dict and config_dict['''fp16''']) else None
            if "fp16" in config_dict:  # Convert the config to the new format.
                  del config_dict["fp16"]
            if "dynamo_backend" in config_dict:  # Convert the config to the new format.
                  __snake_case   :     Tuple	      =config_dict.pop('''dynamo_backend'''    )
                  __snake_case   :     Optional[Any]	      ={} if dynamo_backend == '''NO''' else {'''dynamo_backend''': dynamo_backend}
            if "use_cpu" not in config_dict:
                  __snake_case   :     Tuple	      =False
            return cls(**a    )


      def _UpperCamelCase    (     self					:						Tuple				, a					:						Any    ):





            """simple docstring"""







            with open(a				, '''w'''				, encoding='''utf-8'''    ) as f:
                  __snake_case   :     List[Any]	      =json.dumps(self.to_dict()				, indent=2				, sort_keys=a    ) + '''\n'''
                  f.write(a    )


      @classmethod
      def _UpperCamelCase    (     cls					:						Dict				, a					:						Tuple=None    ):





            """simple docstring"""







            __snake_case   :     str	      =default_yaml_config_file if yaml_file is None else yaml_file
            with open(a				, '''r'''				, encoding='''utf-8'''    ) as f:
                  __snake_case   :     Any	      =yaml.safe_load(a    )
            if "compute_environment" not in config_dict:
                  __snake_case   :     Optional[int]	      =ComputeEnvironment.LOCAL_MACHINE

            if "mixed_precision" not in config_dict:
                  __snake_case   :     int	      ='''fp16''' if ('''fp16''' in config_dict and config_dict['''fp16''']) else None
            if isinstance(config_dict['''mixed_precision''']				, a    ) and not config_dict["mixed_precision"]:
                  __snake_case   :     List[Any]	      ='''no'''
            if "fp16" in config_dict:  # Convert the config to the new format.
                  del config_dict["fp16"]
            if "dynamo_backend" in config_dict:  # Convert the config to the new format.
                  __snake_case   :     Dict	      =config_dict.pop('''dynamo_backend'''    )
                  __snake_case   :     str	      ={} if dynamo_backend == '''NO''' else {'''dynamo_backend''': dynamo_backend}
            if "use_cpu" not in config_dict:
                  __snake_case   :     str	      =False
            return cls(**a    )


      def _UpperCamelCase    (     self					:						int				, a					:						str    ):





            """simple docstring"""







            with open(a				, '''w'''				, encoding='''utf-8'''    ) as f:
                  yaml.safe_dump(self.to_dict()				, a    )







      def _UpperCamelCase    (     self					:						Union[str, Any]    ):





            """simple docstring"""







            if isinstance(self.compute_environment				, a    ):
                  __snake_case   :     List[Any]	      =ComputeEnvironment(self.compute_environment    )
            if isinstance(self.distributed_type				, a    ):
                  if self.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
                        __snake_case   :     Dict	      =SageMakerDistributedType(self.distributed_type    )
                  else:
                        __snake_case   :     Optional[Any]	      =DistributedType(self.distributed_type    )
            if self.dynamo_config is None:
                  __snake_case   :     str	      ={}



@dataclass
class   _lowercase			(  lowerCAmelCase    ):
      _a :  int
      _a :  int										= 0
      _a :  int										= 1
      _a :  Optional[str]										= None
      _a :  Optional[str]										= None
      _a :  Optional[int]										= None
      _a :  Optional[str]										= "static"
      _a :  Optional[bool]										= False
      _a :  str										= "main"

      # args for deepspeed_plugin
      _a :  dict										= None
      # args for fsdp
      _a :  dict										= None
      # args for megatron_lm
      _a :  dict										= None
      # args for ipex
      _a :  dict										= None
      # args for TPU
      _a :  bool										= False

      # args for TPU pods
      _a :  str										= None
      _a :  str										= None
      _a :  bool										= False
      _a :  bool										= False
      _a :  str										= None
      _a :  List[str]										= None
      _a :  List[str]										= None
      _a :  List[str]										= None

      # args for dynamo
      _a :  dict										= None


      def _UpperCamelCase    (     self					:						Union[str, Any]    ):





            """simple docstring"""







            if self.deepspeed_config is None:
                  __snake_case   :     Union[str, Any]	      ={}
            if self.fsdp_config is None:
                  __snake_case   :     int	      ={}
            if self.megatron_lm_config is None:
                  __snake_case   :     int	      ={}
            if self.ipex_config is None:
                  __snake_case   :     Union[str, Any]	      ={}
            return super().__post_init__()



@dataclass
class   _lowercase			(  lowerCAmelCase    ):
      _a :  str
      _a :  str
      _a :  Optional[str]										= None
      _a :  Optional[str]										= None
      _a :  str										= "us-east-1"
      _a :  int										= 1
      _a :  str										= "all"
      _a :  str										= f"accelerate-sagemaker-{num_machines}"
      _a :  str										= SAGEMAKER_PYTORCH_VERSION
      _a :  str										= SAGEMAKER_TRANSFORMERS_VERSION
      _a :  str										= SAGEMAKER_PYTHON_VERSION
      _a :  str										= None
      _a :  str										= None
      _a :  dict										= None
      _a :  dict										= None










"""simple docstring"""





from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
UpperCamelCase_						:					int      				=			[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
          0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]



def      __lowercase       (     a			:					int			)       ->       list[int]:
      return [int(a			) for c in f'''{ruleset:08}'''[:8]]



def      __lowercase       (     a			:					list[list[int]]							,		a			:					list[int]							,		a			:					int			)       ->       list[int]:
      __snake_case   :     Optional[Any]	      =len(cells[0]			)  # 31
      __snake_case   :     List[str]	      =[]
      for i in range(a			):
            # Get the neighbors of each cell
            # Handle neighbours outside bounds by using 0 as their value
            __snake_case   :     Optional[Any]	      =0 if i == 0 else cells[time][i - 1]
            __snake_case   :     Dict	      =0 if i == population - 1 else cells[time][i + 1]
            # Define a new cell and add it to the new generation
            __snake_case   :     Optional[int]	      =7 - int(f'''{left_neighbor}{cells[time][i]}{right_neighbor}'''							,		2			)
            next_generation.append(rule[situation]			)
      return next_generation



def      __lowercase       (     a			:					list[list[int]]			)       ->       Image.Image:
      __snake_case   :     int	      =Image.new('''RGB'''							,		(len(cells[0]			), len(a			))			)
      __snake_case   :     List[Any]	      =img.load()
      # Generates image
      for w in range(img.width			):
            for h in range(img.height			):
                  __snake_case   :     int	      =255 - int(255 * cells[h][w]			)
                  __snake_case   :     List[str]	      =(color, color, color)
      return img


if __name__ == "__main__":
    UpperCamelCase_						:					Optional[Any]      				=			bin(int(input("""Rule:\n""").strip()))[2:]
    UpperCamelCase_						:					List[str]      				=			format_ruleset(int(rule_num))
    for time in range(16):
        CELLS.append(new_generation(CELLS, rule, time))
    UpperCamelCase_						:					List[Any]      				=			generate_image(CELLS)
    # Uncomment to save the image
    # img.save(f"rule_{rule_num}.png")
    img.show()


