'''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


__a: List[str]          =   logging.get_logger(__name__)

__a: List[str]          =   {
    """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 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE							=    "gptj"
       SCREAMING_SNAKE_CASE							=    {
           "max_position_embeddings": "n_positions",
           "hidden_size": "n_embd",
           "num_attention_heads": "n_head",
           "num_hidden_layers": "n_layer",
       }

       def __init__(						self	,   __lowerCAmelCase=50400	,   __lowerCAmelCase=2048	,   __lowerCAmelCase=4096	,   __lowerCAmelCase=28	,   __lowerCAmelCase=16	,   __lowerCAmelCase=64	,   __lowerCAmelCase=None	,   __lowerCAmelCase="gelu_new"	,   __lowerCAmelCase=0.0	,   __lowerCAmelCase=0.0	,   __lowerCAmelCase=0.0	,   __lowerCAmelCase=1E-5	,   __lowerCAmelCase=0.0_2	,   __lowerCAmelCase=True	,   __lowerCAmelCase=50256	,   __lowerCAmelCase=50256	,   __lowerCAmelCase=False	,   **__lowerCAmelCase	,   )  ->  int:
        lowercase__				:    int  =					vocab_size
        lowercase__				:    int  =					n_positions
        lowercase__				:    int  =					n_embd
        lowercase__				:    Tuple  =					n_layer
        lowercase__				:    List[str]  =					n_head
        lowercase__				:    Union[str, Any]  =					n_inner
        lowercase__				:    str  =					rotary_dim
        lowercase__				:    str  =					activation_function
        lowercase__				:    List[str]  =					resid_pdrop
        lowercase__				:    List[str]  =					embd_pdrop
        lowercase__				:    List[str]  =					attn_pdrop
        lowercase__				:    Tuple  =					layer_norm_epsilon
        lowercase__				:    Tuple  =					initializer_range
        lowercase__				:    int  =					use_cache

        lowercase__				:    Optional[Any]  =					bos_token_id
        lowercase__				:    List[Any]  =					eos_token_id

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



class 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



       def __init__(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = "default"	,   __lowerCAmelCase = None	,   __lowerCAmelCase = False	,   )  ->  Any:
        super().__init__(__lowerCAmelCase	,   task=__lowerCAmelCase	,   patching_specs=__lowerCAmelCase	,   use_past=__lowerCAmelCase )
        if not getattr(self._config	,   '''pad_token_id'''	,   __lowerCAmelCase ):
         # TODO: how to do that better?
         lowercase__				:    List[Any]  =					0

       @property
       def _lowerCAmelCase(						self )  ->  Mapping[str, Mapping[int, str]]:
        lowercase__				:    Dict  =					OrderedDict({'''input_ids''': {0: '''batch''', 1: '''sequence'''}} )
        if self.use_past:
         self.fill_with_past_key_values_(__lowerCAmelCase	,   direction='''inputs''' )
         lowercase__				:    int  =					{0: '''batch''', 1: '''past_sequence + sequence'''}
        else:
         lowercase__				:    List[str]  =					{0: '''batch''', 1: '''sequence'''}

        return common_inputs

       @property
       def _lowerCAmelCase(						self )  ->  int:
        return self._config.n_layer

       @property
       def _lowerCAmelCase(						self )  ->  int:
        return self._config.n_head

       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = -1	,   __lowerCAmelCase = -1	,   __lowerCAmelCase = False	,   __lowerCAmelCase = None	,   )  ->  Mapping[str, Any]:
        lowercase__				:    str  =					super(__lowerCAmelCase	,   self ).generate_dummy_inputs(
            __lowerCAmelCase	,   batch_size=__lowerCAmelCase	,   seq_length=__lowerCAmelCase	,   is_pair=__lowerCAmelCase	,   framework=__lowerCAmelCase )

        # We need to order the input in the way they appears in the forward()
        lowercase__				:    List[Any]  =					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

          lowercase__ ,							lowercase__				:    Tuple  =					common_inputs['''input_ids'''].shape
          # Not using the same length for past_key_values
          lowercase__				:    Optional[int]  =					seqlen + 2
          lowercase__				:    Any  =					(
              batch,
              self.num_attention_heads,
              past_key_values_length,
              self._config.hidden_size // self.num_attention_heads,
          )
          lowercase__				:    Any  =					[
              (torch.zeros(__lowerCAmelCase ), torch.zeros(__lowerCAmelCase )) for _ in range(self.num_layers )
          ]

        lowercase__				:    Dict  =					common_inputs['''attention_mask''']
        if self.use_past:
         lowercase__				:    Optional[int]  =					ordered_inputs['''attention_mask'''].dtype
         lowercase__				:    List[Any]  =					torch.cat(
             [ordered_inputs['''attention_mask'''], torch.ones(__lowerCAmelCase	,   __lowerCAmelCase	,   dtype=__lowerCAmelCase )]	,   dim=1 )

        return ordered_inputs


       @property
       def _lowerCAmelCase(						self )  ->  int:
        return 13


'''simple docstring'''

import unittest

from knapsack import knapsack as k



class 			UpperCAmelCase  (						unittest.TestCase					):





       '''simple docstring'''



       def _lowerCAmelCase(						self )  ->  Tuple:
        lowercase__				:    Optional[Any]  =					0
        lowercase__				:    Any  =					[0]
        lowercase__				:    List[Any]  =					[0]
        lowercase__				:    Optional[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   0 )

        lowercase__				:    List[str]  =					[60]
        lowercase__				:    List[str]  =					[10]
        lowercase__				:    List[str]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   0 )

       def _lowerCAmelCase(						self )  ->  Optional[Any]:
        lowercase__				:    Optional[Any]  =					3
        lowercase__				:    List[Any]  =					[1, 2, 3]
        lowercase__				:    Union[str, Any]  =					[3, 2, 1]
        lowercase__				:    List[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   5 )


       def _lowerCAmelCase(						self )  ->  Optional[Any]:
        lowercase__				:    int  =					50
        lowercase__				:    Any  =					[60, 100, 120]
        lowercase__				:    int  =					[10, 20, 30]
        lowercase__				:    Optional[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   220 )


if __name__ == "__main__":
  unittest.main()

