
"""simple docstring"""

from collections import OrderedDict
from typing import Any, List, Mapping, Optional

from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, PatchingSpec
from ...utils import logging


UpperCamelCase			:       Optional[int]									=				logging.get_logger(__name__)

UpperCamelCase			:       int									=				{
    "EleutherAI/gpt-j-6B": "https://huggingface.co/EleutherAI/gpt-j-6B/resolve/main/config.json",
    # See all GPT-J models at https://huggingface.co/models?filter=gpt_j
}

class __lowerCAmelCase	(   __SCREAMING_SNAKE_CASE    ):
					lowercase		     =		"gptj"
					lowercase		     =		{
					    "max_position_embeddings": "n_positions",
					    "hidden_size": "n_embd",
					    "num_attention_heads": "n_head",
					    "num_hidden_layers": "n_layer",
					}





					def __init__(			self			,  __UpperCAmelCase=5_0400			,  __UpperCAmelCase=2048			,  __UpperCAmelCase=4096			,  __UpperCAmelCase=28			,  __UpperCAmelCase=16			,  __UpperCAmelCase=64			,  __UpperCAmelCase=None			,  __UpperCAmelCase="gelu_new"			,  __UpperCAmelCase=0.0			,  __UpperCAmelCase=0.0			,  __UpperCAmelCase=0.0			,  __UpperCAmelCase=1E-5			,  __UpperCAmelCase=0.0_2			,  __UpperCAmelCase=True			,  __UpperCAmelCase=5_0256			,  __UpperCAmelCase=5_0256			,  __UpperCAmelCase=False			,  **__UpperCAmelCase			,  ):

						'''simple docstring'''




						__UpperCamelCase       						= vocab_size
						__UpperCamelCase       						= n_positions
						__UpperCamelCase       						= n_embd
						__UpperCamelCase       						= n_layer
						__UpperCamelCase       						= n_head
						__UpperCamelCase       						= n_inner
						__UpperCamelCase       						= rotary_dim
						__UpperCamelCase       						= activation_function
						__UpperCamelCase       						= resid_pdrop
						__UpperCamelCase       						= embd_pdrop
						__UpperCamelCase       						= attn_pdrop
						__UpperCamelCase       						= layer_norm_epsilon
						__UpperCamelCase       						= initializer_range
						__UpperCamelCase       						= use_cache

						__UpperCamelCase       						= bos_token_id
						__UpperCamelCase       						= eos_token_id

						super().__init__(
						    bos_token_id=__UpperCAmelCase			,  eos_token_id=__UpperCAmelCase			,  tie_word_embeddings=__UpperCAmelCase			,  **__UpperCAmelCase   )


class __lowerCAmelCase	(   __SCREAMING_SNAKE_CASE    ):





					def __init__(			self			,  __UpperCAmelCase			,  __UpperCAmelCase = "default"			,  __UpperCAmelCase = None			,  __UpperCAmelCase = False			,  ):

						'''simple docstring'''




						super().__init__(__UpperCAmelCase			,  task=__UpperCAmelCase			,  patching_specs=__UpperCAmelCase			,  use_past=__UpperCAmelCase   )
						if not getattr(self._config			,  'pad_token_id'			,  __UpperCAmelCase   ):
							# TODO: how to do that better?
							__UpperCamelCase       						= 0





					@property
					def 		UpperCAmelCase      (			self   ):

						'''simple docstring'''




						__UpperCamelCase       						= OrderedDict({'input_ids': {0: 'batch', 1: 'sequence'}}   )
						if self.use_past:
							self.fill_with_past_key_values_(__UpperCAmelCase			,  direction='inputs'   )
							__UpperCamelCase       						= {0: 'batch', 1: 'past_sequence + sequence'}
						else:
							__UpperCamelCase       						= {0: 'batch', 1: 'sequence'}

						return common_inputs





					@property
					def 		UpperCAmelCase      (			self   ):

						'''simple docstring'''




						return self._config.n_layer





					@property
					def 		UpperCAmelCase      (			self   ):

						'''simple docstring'''




						return self._config.n_head





					def 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = -1			,  __UpperCAmelCase = -1			,  __UpperCAmelCase = False			,  __UpperCAmelCase = None			,  ):

						'''simple docstring'''




						__UpperCamelCase       						= super(__UpperCAmelCase			,  self   ).generate_dummy_inputs(
						    __UpperCAmelCase			,  batch_size=__UpperCAmelCase			,  seq_length=__UpperCAmelCase			,  is_pair=__UpperCAmelCase			,  framework=__UpperCAmelCase   )

						# We need to order the input in the way they appears in the forward()
						__UpperCamelCase       						= OrderedDict({'input_ids': common_inputs['input_ids']}   )

						# Need to add the past_keys
						if self.use_past:
							if not is_torch_available():
								raise ValueError('Cannot generate dummy past_keys inputs without PyTorch installed.'   )
							else:
								import torch

								__UpperCamelCase						,			__UpperCamelCase       						= common_inputs['input_ids'].shape
								# Not using the same length for past_key_values
								__UpperCamelCase       						= seqlen + 2
								__UpperCamelCase       						= (
								    batch,
								    self.num_attention_heads,
								    past_key_values_length,
								    self._config.hidden_size // self.num_attention_heads,
								)
								__UpperCamelCase       						= [
								    (torch.zeros(__UpperCAmelCase   ), torch.zeros(__UpperCAmelCase   )) for _ in range(self.num_layers   )
								]

						__UpperCamelCase       						= common_inputs['attention_mask']
						if self.use_past:
							__UpperCamelCase       						= ordered_inputs['attention_mask'].dtype
							__UpperCamelCase       						= torch.cat(
							    [ordered_inputs['attention_mask'], torch.ones(__UpperCAmelCase			,  __UpperCAmelCase			,  dtype=__UpperCAmelCase   )]			,  dim=1   )

						return ordered_inputs







					@property
					def 		UpperCAmelCase      (			self   ):

						'''simple docstring'''




						return 13





"""simple docstring"""

from __future__ import annotations

import os
from typing import Any

import requests

UpperCamelCase			:       Union[str, Any]									=				"https://api.github.com"

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
UpperCamelCase			:       Union[str, Any]									=				BASE_URL + "/user"

# https://github.com/settings/tokens
UpperCamelCase			:       Optional[int]									=				os.environ.get("USER_TOKEN", "")






def 							A		(       snake_case   :str	)   ->			dict[Any, Any]:
 __UpperCamelCase       						= {
     'Authorization': f'token {auth_token}',
     'Accept': 'application/vnd.github.v3+json',
 }
 return requests.get(snake_case       ,      headers=snake_case	).json()


if __name__ == "__main__":  # pragma: no cover
      if USER_TOKEN:
            for key, value in fetch_github_info(USER_TOKEN).items():
                  print(f'''{key}: {value}''')
      else:
            raise ValueError("'USER_TOKEN' field cannot be empty.")



