




'''simple docstring'''
def 				snake_case_  (   a__		:	list[list[int]]			):



    """simple docstring"""




    __lowercase							=						[list(a__			) for row in matrix]
    if matrix and isinstance(a__    ,a__			):
        if isinstance(matrix[0]    ,a__			):
            __lowercase							=						0
            for row in matrix:
                if prev_len == 0:
                    __lowercase							=						len(a__			)
                    __lowercase							=						True
                else:
                    __lowercase							=						prev_len == len(a__			)
        else:
            __lowercase							=						True
    else:
        __lowercase							=						False

    return result
def 				snake_case_  (   a__		:	list[list[int]]			):



    """simple docstring"""




    if check_matrix(a__			) and len(a__			) > 0:
        __lowercase							=						[list(a__			) for row in a]
        __lowercase							=						len(a__			)
        if isinstance(a[0]    ,a__			):
            __lowercase							=						len(a[0]			)
        else:
            for dat in a:
                print(a__			)
            return

        # horizotal printing increasing
        for i in range(0    ,a__			):
            print(a[0][i]			)
        # vertical printing down
        for i in range(1    ,a__			):
            print(a[i][mat_col - 1]			)
        # horizotal printing decreasing
        if mat_row > 1:
            for i in range(mat_col - 2    ,-1    ,-1			):
                print(a[mat_row - 1][i]			)
        # vertical printing up
        for i in range(mat_row - 2    ,0    ,-1			):
            print(a[i][0]			)
        __lowercase							=						[row[1 : mat_col - 1] for row in a[1 : mat_row - 1]]
        if len(a__			) > 0:
            spiral_print_clockwise(a__			)
        else:
            return
    else:
        print("""Not a valid matrix"""			)
        return
def 				snake_case_  (   a__		:	list[list]			):



    """simple docstring"""




    if matrix:
        return list(matrix.pop(0			)			) + spiral_traversal(list(zip(*a__			)			)[::-1]			)
    else:
        return []


# driver code
if __name__ == "__main__":
  import doctest

  doctest.testmod()

  A							:      Optional[int] 	=       [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]]
  spiral_print_clockwise(a)










'''simple docstring'''
import torch
import torch.nn as nn
from transformers.modeling_utils import ModuleUtilsMixin
from transformers.models.ta.modeling_ta import (
    TaBlock,
    TaConfig,
    TaLayerNorm,
)

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin






class        SCREAMING_SNAKE_CASE(				__A   ,      __A   ,      __A     ):

       @register_to_config
       def __init__(    self					,		lowerCamelCase__					,		lowerCamelCase__					,		lowerCamelCase__					,		lowerCamelCase__					,		lowerCamelCase__					,		lowerCamelCase__					,		lowerCamelCase__					,		lowerCamelCase__					,		lowerCamelCase__					,		lowerCamelCase__ = False					,		)    ->					Optional[int]:

           """simple docstring"""



           super().__init__()

           __lowercase							=						nn.Linear(lowerCamelCase__					,		lowerCamelCase__					,		bias=lowerCamelCase__     )

           __lowercase							=						nn.Embedding(lowerCamelCase__					,		lowerCamelCase__     )
           __lowercase							=						False

           __lowercase							=						nn.Dropout(p=lowerCamelCase__     )

           __lowercase							=						TaConfig(
               d_model=lowerCamelCase__					,		num_heads=lowerCamelCase__					,		d_kv=lowerCamelCase__					,		d_ff=lowerCamelCase__					,		feed_forward_proj=lowerCamelCase__					,		dropout_rate=lowerCamelCase__					,		is_decoder=lowerCamelCase__					,		is_encoder_decoder=lowerCamelCase__					,		)
           __lowercase							=						nn.ModuleList()
           for lyr_num in range(lowerCamelCase__     ):
               __lowercase							=						TaBlock(lowerCamelCase__     )
               self.encoders.append(lowerCamelCase__     )

           __lowercase							=						TaLayerNorm(lowerCamelCase__     )
           __lowercase							=						nn.Dropout(p=lowerCamelCase__     )




       def     snake_case__			(    self					,		lowerCamelCase__					,		lowerCamelCase__     )    ->					str:

           """simple docstring"""



           __lowercase							=						self.input_proj(lowerCamelCase__     )

           # terminal relative positional encodings
           __lowercase							=						encoder_inputs.shape[1]
           __lowercase							=						torch.arange(lowerCamelCase__					,		device=encoder_inputs.device     )

           __lowercase							=						encoder_inputs_mask.sum(-1     )
           __lowercase							=						torch.roll(input_positions.unsqueeze(0     )					,		tuple(seq_lens.tolist()     )					,		dims=0     )
           x += self.position_encoding(lowerCamelCase__     )

           __lowercase							=						self.dropout_pre(lowerCamelCase__     )

           # inverted the attention mask
           __lowercase							=						encoder_inputs.size()
           __lowercase							=						self.get_extended_attention_mask(lowerCamelCase__					,		lowerCamelCase__     )

           for lyr in self.encoders:
               __lowercase							=						lyr(lowerCamelCase__					,		lowerCamelCase__     )[0]
           __lowercase							=						self.layer_norm(lowerCamelCase__     )

           return self.dropout_post(lowerCamelCase__     ), encoder_inputs_mask




