
import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler






class     UpperCAmelCase						:



   def __init__(self						:   int       ,		snake_case__						:   List[Any]					)						->      Dict:


          '''simple docstring'''


          if isinstance(snake_case__       ,		snake_case__					):
                 # Don't modify user's data should they want to reuse it (e.g. in tests), because once we
                 # modified it, it will not be accepted here again, since `auto` values would have been overridden
                 snake_case			:  int     							= deepcopy(snake_case__					)
          elif os.path.exists(snake_case__					):
                 with io.open(snake_case__       ,		"r"       ,		encoding="utf-8"					) as f:
                        snake_case			:  Tuple     							= json.load(snake_case__					)
          else:
                 try:
                        snake_case			:  str     							= baseaa.urlsafe_baadecode(snake_case__					).decode("utf-8"					)
                        snake_case			:  Dict     							= json.loads(snake_case__					)
                 except (UnicodeDecodeError, AttributeError, ValueError):
                        raise ValueError(
                            f"""Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}"""					)

          snake_case			:  Union[str, Any]     							= config

          self.set_stage_and_offload()



   def 							_SCREAMING_SNAKE_CASE  (self						:   Dict					)						->      int:


          '''simple docstring'''


          snake_case			:  Any     							= self.get_value("zero_optimization.stage"       ,		-1					)

          # offload
          snake_case			:  Optional[Any]     							= False
          if self.is_zeroa() or self.is_zeroa():
                 snake_case			:  List[str]     							= set(["cpu", "nvme"]					)
                 snake_case			:  Dict     							= set(
                     [
                         self.get_value("zero_optimization.offload_optimizer.device"					),
                         self.get_value("zero_optimization.offload_param.device"					),
                     ]					)
                 if len(offload_devices & offload_devices_valid					) > 0:
                        snake_case			:  str     							= True



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[Any]       ,		snake_case__						:   Union[str, Any]					)						->      List[Any]:


          '''simple docstring'''


          snake_case			:  List[str]     							= self.config

          # find the config node of interest if it exists
          snake_case			:  str     							= ds_key_long.split("."					)
          snake_case			:  Dict     							= nodes.pop()
          for node in nodes:
                 snake_case			:  Dict     							= config.get(snake_case__					)
                 if config is None:
                        return None, ds_key

          return config, ds_key



   def 							_SCREAMING_SNAKE_CASE  (self						:   Union[str, Any]       ,		snake_case__						:   Union[str, Any]       ,		snake_case__						:   Any=None					)						->      str:


          '''simple docstring'''


          snake_case							,   snake_case			:  Dict     							= self.find_config_node(snake_case__					)
          if config is None:
                 return default
          return config.get(snake_case__       ,		snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[str]       ,		snake_case__						:   Tuple       ,		snake_case__						:   Optional[int]=False					)						->      List[Any]:


          '''simple docstring'''


          snake_case			:  Union[str, Any]     							= self.config

          # find the config node of interest if it exists
          snake_case			:  List[Any]     							= ds_key_long.split("."					)
          for node in nodes:
                 snake_case			:  Any     							= config
                 snake_case			:  Union[str, Any]     							= config.get(snake_case__					)
                 if config is None:
                        if must_exist:
                               raise ValueError(f"""Can't find {ds_key_long} entry in the config: {self.config}"""					)
                        else:
                               return

        # if found remove it
          if parent_config is not None:
                 parent_config.pop(snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[Any]       ,		snake_case__						:   Union[str, Any]					)						->      Optional[Any]:


          '''simple docstring'''


          snake_case			:  List[str]     							= self.get_value(snake_case__					)
          return False if value is None else bool(snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   Union[str, Any]       ,		snake_case__						:   List[str]					)						->      Optional[Any]:


          '''simple docstring'''


          snake_case			:  str     							= self.get_value(snake_case__					)
          return False if value is None else not bool(snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[Any]					)						->      Any:


          '''simple docstring'''


          return self._stage == 2



   def 							_SCREAMING_SNAKE_CASE  (self						:   Any					)						->      int:


          '''simple docstring'''


          return self._stage == 3



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[Any]					)						->      List[str]:


          '''simple docstring'''


          return self._offload






class     UpperCAmelCase						:



   def __init__(self						:   Tuple       ,		snake_case__						:   Union[str, Any]					)						->      Any:


          '''simple docstring'''


          snake_case			:  Union[str, Any]     							= engine



   def 							_SCREAMING_SNAKE_CASE  (self						:   Optional[Any]       ,		snake_case__						:   int       ,		**snake_case__						:   List[Any]					)						->      Union[str, Any]:


          '''simple docstring'''


          self.engine.backward(snake_case__       ,		**snake_case__					)

          # Deepspeed's `engine.step` performs the following operations:
          # - gradient accumulation check
          # - gradient clipping
          # - optimizer step
          # - zero grad
          # - checking overflow
          # - lr_scheduler step (only if engine.lr_scheduler is not None)
          self.engine.step()
          # and this plugin overrides the above calls with no-ops when Accelerate runs under
          # Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple
          # training loop that works transparently under many training regimes.






class     UpperCAmelCase						(		A_					):



   def __init__(self						:   str       ,		snake_case__						:   Union[str, Any]					)						->      Dict:


          '''simple docstring'''


          super().__init__(snake_case__       ,		device_placement=snake_case__       ,		scaler=snake_case__					)
          snake_case			:  str     							= hasattr(self.optimizer       ,		"overflow"					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   Union[str, Any]       ,		snake_case__						:   str=None					)						->      str:


          '''simple docstring'''


          pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[str]					)						->      Optional[int]:


          '''simple docstring'''


          pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed



   @property
   def 							_SCREAMING_SNAKE_CASE  (self						:   Any					)						->      Dict:


          '''simple docstring'''


          if self.__has_overflow__:
                 return self.optimizer.overflow
          return False






class     UpperCAmelCase						(		A_					):



   def __init__(self						:   Dict       ,		snake_case__						:   List[str]       ,		snake_case__						:   Union[str, Any]					)						->      Optional[int]:


          '''simple docstring'''


          super().__init__(snake_case__       ,		snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[str]					)						->      Dict:


          '''simple docstring'''


          pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed






class     UpperCAmelCase						:



   def __init__(self						:   Any       ,		snake_case__						:   Tuple       ,		snake_case__						:   Optional[int]=0.001       ,		snake_case__						:   Optional[int]=0       ,		**snake_case__						:   List[str]					)						->      List[str]:


          '''simple docstring'''


          snake_case			:  int     							= params
          snake_case			:  str     							= lr
          snake_case			:  List[Any]     							= weight_decay
          snake_case			:  Dict     							= kwargs






class     UpperCAmelCase						:



   def __init__(self						:   Optional[int]       ,		snake_case__						:   List[str]       ,		snake_case__						:   List[Any]=None       ,		snake_case__						:   str=0       ,		**snake_case__						:   str					)						->      Tuple:


          '''simple docstring'''


          snake_case			:  List[str]     							= optimizer
          snake_case			:  Tuple     							= total_num_steps
          snake_case			:  List[Any]     							= warmup_num_steps
          snake_case			:  Any     							= kwargs







import secrets
from random import shuffle
from string import ascii_letters, ascii_lowercase, ascii_uppercase, digits, punctuation


def      UpperCamelCase   (       __lowerCamelCase	:					int = 8       ):
       snake_case			:  int     							= ascii_letters + digits + punctuation
       return "".join(secrets.choice(__lowerCamelCase       ) for _ in range(__lowerCamelCase       )       )


def      UpperCamelCase   (       __lowerCamelCase	:					str							,   __lowerCamelCase	:					int       ):
       # Password Generator = full boot with random_number, random_letters, and
       # random_character FUNCTIONS
       # Put your code here...
       i -= len(__lowerCamelCase       )
       snake_case			:  Any     							= i // 3
       snake_case			:  Optional[int]     							= i % 3
       # chars = chars_incl + random_letters(ascii_letters, i / 3 + remainder) +
       #     random_number(digits, i / 3) + random_characters(punctuation, i / 3)
       snake_case			:  Tuple     							= (
           chars_incl
           + random(__lowerCamelCase							,   quotient + remainder       )
           + random(__lowerCamelCase							,   __lowerCamelCase       )
           + random(__lowerCamelCase							,   __lowerCamelCase       )
       )
       snake_case			:  Optional[Any]     							= list(__lowerCamelCase       )
       shuffle(__lowerCamelCase       )
       return "".join(__lowerCamelCase       )

       # random is a generalised function for letters, characters and numbers


def      UpperCamelCase   (       __lowerCamelCase	:					str							,   __lowerCamelCase	:					int       ):
       return "".join(secrets.choice(__lowerCamelCase       ) for _ in range(__lowerCamelCase       )       )


def      UpperCamelCase   (       __lowerCamelCase	:					List[str]							,   __lowerCamelCase	:					str       ):
       pass  # Put your code here...


def      UpperCamelCase   (       __lowerCamelCase	:					Optional[int]							,   __lowerCamelCase	:					List[str]       ):
       pass  # Put your code here...


def      UpperCamelCase   (       __lowerCamelCase	:					Any							,   __lowerCamelCase	:					List[Any]       ):
       pass  # Put your code here...


def      UpperCamelCase   (       __lowerCamelCase	:					str							,   __lowerCamelCase	:					int = 8       ):

       if len(__lowerCamelCase       ) < min_length:
              # Your Password must be at least 8 characters long
              return False

       snake_case			:  Dict     							= any(char in ascii_uppercase for char in password       )
       snake_case			:  Optional[int]     							= any(char in ascii_lowercase for char in password       )
       snake_case			:  str     							= any(char in digits for char in password       )
       snake_case			:  str     							= any(char in punctuation for char in password       )

       return upper and lower and num and spec_char
       # Passwords should contain UPPERCASE, lowerase
       # numbers, and special characters


def      UpperCamelCase   (       ):
       snake_case			:  int     							= int(input("Please indicate the max length of your password: "       ).strip()       )
       snake_case			:  Union[str, Any]     							= input(
           "Please indicate the characters that must be in your password: "       ).strip()
       print("Password generated:"							,   password_generator(__lowerCamelCase       )       )
       print(
           "Alternative Password generated:"							,   alternative_password_generator(__lowerCamelCase							,   __lowerCamelCase       )							,   )
       print("[If you are thinking of using this passsword, You better save it.]"       )


if __name__ == "__main__":
   main()





