

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			:   str				,     snake_case__			:   Optional[int]     ):

     """simple docstring"""






     if isinstance(A__				,     A__     ):
      # 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
      SCREAMING_SNAKE_CASE		    =      deepcopy(A__     )
     elif os.path.exists(A__     ):
      with io.open(A__				,     'r'				,     encoding='utf-8'     ) as f:
       SCREAMING_SNAKE_CASE		    =      json.load(A__     )
     else:
      try:
       SCREAMING_SNAKE_CASE		    =      baseaa.urlsafe_baadecode(A__     ).decode('utf-8'     )
       SCREAMING_SNAKE_CASE		    =      json.loads(A__     )
      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}"""     )

     SCREAMING_SNAKE_CASE		    =      config

     self.set_stage_and_offload()

    def UpperCamelCase      (      self			:   Tuple     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      self.get_value('zero_optimization.stage'				,     -1     )

     # offload
     SCREAMING_SNAKE_CASE		    =      False
     if self.is_zeroa() or self.is_zeroa():
      SCREAMING_SNAKE_CASE		    =      set(['cpu', 'nvme']     )
      SCREAMING_SNAKE_CASE		    =      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:
       SCREAMING_SNAKE_CASE		    =      True

    def UpperCamelCase      (      self			:   Dict				,     snake_case__			:   List[str]     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      self.config

     # find the config node of interest if it exists
     SCREAMING_SNAKE_CASE		    =      ds_key_long.split('.'     )
     SCREAMING_SNAKE_CASE		    =      nodes.pop()
     for node in nodes:
      SCREAMING_SNAKE_CASE		    =      config.get(A__     )
      if config is None:
       return None, ds_key

     return config, ds_key

    def UpperCamelCase      (      self			:   List[str]				,     snake_case__			:   str				,     snake_case__			:   List[Any]=None     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      self.find_config_node(A__     )
     if config is None:
      return default
     return config.get(A__				,     A__     )

    def UpperCamelCase      (      self			:   Optional[Any]				,     snake_case__			:   Union[str, Any]				,     snake_case__			:   Any=False     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      self.config

     # find the config node of interest if it exists
     SCREAMING_SNAKE_CASE		    =      ds_key_long.split('.'     )
     for node in nodes:
      SCREAMING_SNAKE_CASE		    =      config
      SCREAMING_SNAKE_CASE		    =      config.get(A__     )
      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(A__     )

    def UpperCamelCase      (      self			:   Any				,     snake_case__			:   List[Any]     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      self.get_value(A__     )
     return False if value is None else bool(A__     )

    def UpperCamelCase      (      self			:   int				,     snake_case__			:   str     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      self.get_value(A__     )
     return False if value is None else not bool(A__     )

    def UpperCamelCase      (      self			:   List[str]     ):

     """simple docstring"""






     return self._stage == 2

    def UpperCamelCase      (      self			:   Optional[Any]     ):

     """simple docstring"""






     return self._stage == 3




    def UpperCamelCase      (      self			:   Optional[Any]     ):

     """simple docstring"""






     return self._offload




class   UpperCamelCase			:

    def __init__(      self			:   List[str]				,     snake_case__			:   Tuple     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      engine




    def UpperCamelCase      (      self			:   Tuple				,     snake_case__			:   Optional[Any]				,     **snake_case__			:   Any     ):

     """simple docstring"""






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

     # 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			(  __snake_case ):

    def __init__(      self			:   Any				,     snake_case__			:   str     ):

     """simple docstring"""






     super().__init__(A__				,     device_placement=A__				,     scaler=A__     )
     SCREAMING_SNAKE_CASE		    =      hasattr(self.optimizer				,     'overflow'     )

    def UpperCamelCase      (      self			:   List[Any]				,     snake_case__			:   Tuple=None     ):

     """simple docstring"""






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

    def UpperCamelCase      (      self			:   str     ):

     """simple docstring"""






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




    @property
    def UpperCamelCase      (      self			:   List[Any]     ):

     """simple docstring"""






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




class   UpperCamelCase			(  __snake_case ):

    def __init__(      self			:   Union[str, Any]				,     snake_case__			:   int				,     snake_case__			:   int     ):

     """simple docstring"""






     super().__init__(A__				,     A__     )




    def UpperCamelCase      (      self			:   str     ):

     """simple docstring"""






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




class   UpperCamelCase			:

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

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      params
     SCREAMING_SNAKE_CASE		    =      lr
     SCREAMING_SNAKE_CASE		    =      weight_decay
     SCREAMING_SNAKE_CASE		    =      kwargs




class   UpperCamelCase			:

    def __init__(      self			:   List[str]				,     snake_case__			:   List[str]				,     snake_case__			:   Dict=None				,     snake_case__			:   int=0				,     **snake_case__			:   int     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      optimizer
     SCREAMING_SNAKE_CASE		    =      total_num_steps
     SCREAMING_SNAKE_CASE		    =      warmup_num_steps
     SCREAMING_SNAKE_CASE		    =      kwargs









from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

_UpperCamelCase			:	Union[str, Any]								={'UserAgent': UserAgent().random}



def  a__ (__lowercase							:Optional[Any]   )		-> dict:
				_A	:				str   =      script.contents[0]
				_A	:				Dict   =      json.loads(data[data.find('''{"config"'''   ) : -1]   )
				return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]






class 						UpperCAmelCase__ :







		def __init__(					self       ,A__		):
						_A	:				Any   =      f"""https://www.instagram.com/{username}/"""
						_A	:				Optional[Any]   =      self.get_json()







		def  A__      (					self		):
						_A	:				str   =      requests.get(self.url       ,headers=A__		).text
						_A	:				Dict   =      BeautifulSoup(A__       ,'''html.parser'''		).find_all('''script'''		)
						try:
										return extract_user_profile(scripts[4]		)
						except (json.decoder.JSONDecodeError, KeyError):
										return extract_user_profile(scripts[3]		)







		def __repr__(					self		):
						return f"""{self.__class__.__name__}('{self.username}')"""







		def __str__(					self		):
						return f"""{self.fullname} ({self.username}) is {self.biography}"""







		@property
		def  A__      (					self		):
						return self.user_data["username"]







		@property
		def  A__      (					self		):
						return self.user_data["full_name"]







		@property
		def  A__      (					self		):
						return self.user_data["biography"]







		@property
		def  A__      (					self		):
						return self.user_data["business_email"]







		@property
		def  A__      (					self		):
						return self.user_data["external_url"]







		@property
		def  A__      (					self		):
						return self.user_data["edge_followed_by"]["count"]







		@property
		def  A__      (					self		):
						return self.user_data["edge_follow"]["count"]







		@property
		def  A__      (					self		):
						return self.user_data["edge_owner_to_timeline_media"]["count"]







		@property
		def  A__      (					self		):
						return self.user_data["profile_pic_url_hd"]







		@property
		def  A__      (					self		):
						return self.user_data["is_verified"]







		@property
		def  A__      (					self		):
						return self.user_data["is_private"]



def  a__ (__lowercase							:str = "github"   )		-> None:
				import os

				if os.environ.get('''CI'''   ):
								return  # test failing on GitHub Actions
				_A	:				Optional[int]   =      InstagramUser(__lowercase   )
				assert instagram_user.user_data
				assert isinstance(instagram_user.user_data					,  __lowercase   )
				assert instagram_user.username == username
				if username != "github":
								return
				assert instagram_user.fullname == "GitHub"
				assert instagram_user.biography == "Built for developers."
				assert instagram_user.number_of_posts > 150
				assert instagram_user.number_of_followers > 12_0000
				assert instagram_user.number_of_followings > 15
				assert instagram_user.email == "support@github.com"
				assert instagram_user.website == "https://github.com/readme"
				assert instagram_user.profile_picture_url.startswith('''https://instagram.'''   )
				assert instagram_user.is_verified is True
				assert instagram_user.is_private is False


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	_UpperCamelCase			:	List[Any]								=InstagramUser('github')
	print(instagram_user)
	print(f'''{instagram_user.number_of_posts = }''')
	print(f'''{instagram_user.number_of_followers = }''')
	print(f'''{instagram_user.number_of_followings = }''')
	print(f'''{instagram_user.email = }''')
	print(f'''{instagram_user.website = }''')
	print(f'''{instagram_user.profile_picture_url = }''')
	print(f'''{instagram_user.is_verified = }''')
	print(f'''{instagram_user.is_private = }''')



