
"""simple docstring"""






__UpperCAmelCase 					=    [
    ['ab-e1', 'ac-e3', 'ad-e5', 'bc-e4', 'bd-e2', 'be-e6', 'bh-e12', 'cd-e2', 'ce-e4',
     'de-e1', 'df-e8', 'dg-e5', 'dh-e10', 'ef-e3', 'eg-e2', 'fg-e6', 'gh-e6', 'hi-e3'],
    ['ab-e1', 'ac-e3', 'ad-e5', 'bc-e4', 'bd-e2', 'be-e6', 'cd-e2', 'de-e1', 'df-e8',
     'ef-e3', 'eg-e2', 'fg-e6'],
    ['ab-e1', 'ac-e3', 'bc-e4', 'bd-e2', 'de-e1', 'df-e8', 'dg-e5', 'ef-e3', 'eg-e2',
     'eh-e12', 'fg-e6', 'fh-e10', 'gh-e6'],
    ['ab-e1', 'ac-e3', 'bc-e4', 'bd-e2', 'bh-e12', 'cd-e2', 'df-e8', 'dh-e10'],
    ['ab-e1', 'ac-e3', 'ad-e5', 'bc-e4', 'bd-e2', 'cd-e2', 'ce-e4', 'de-e1', 'df-e8',
     'dg-e5', 'ef-e3', 'eg-e2', 'fg-e6']
]






def 		_snake_case			(      lowercase__						:    Any						)    ->							List[Any]:


			'''simple docstring'''





			lowerCAmelCase_       :List[Any]     	=    set()
			for row in edge_array:
						for item in row:
									distinct_edge.add(item[0]						)
			return list(UpperCamelCase__						)






def 		_snake_case			(      lowercase__						:    int ,	lowercase__						:    Dict						)    ->							Optional[int]:


			'''simple docstring'''





			lowerCAmelCase_       :Optional[int]     	=    ['''0'''] * len(UpperCamelCase__						)
			for i, row in enumerate(UpperCamelCase__						):
						for item in row:
									if distinct_edge in item[0]:
												lowerCAmelCase_       :int     	=    '''1'''
												break
			return "".join(UpperCamelCase__						)






def 		_snake_case			(      lowercase__						:    Any						)    ->							Union[str, Any]:


			'''simple docstring'''





			lowerCAmelCase_       :Dict     	=    get_distinct_edge(UpperCamelCase__						)
			lowerCAmelCase_       :List[str]     	=    {}

			for item in distinct_edge:
						lowerCAmelCase_       :Union[str, Any]     	=    get_bitcode(UpperCamelCase__ ,	UpperCamelCase__						)
						# print('bit',bit)
						# bt=''.join(bit)
						lowerCAmelCase_       :str     	=    bit.count("""1"""						)
						lowerCAmelCase_       :Union[str, Any]     	=    [s, bit]
			# Store [Distinct edge, WT(Bitcode), Bitcode] in descending order
			lowerCAmelCase_       :Dict     	=    [
			    [k, v[0], v[1]]
			    for k, v in sorted(frequency_table.items() ,	key=lambda lowercase__						: v[1][0] ,	reverse=UpperCamelCase__						)
			]
			return sorted_frequency_table






def 		_snake_case			(      lowercase__						:    Union[str, Any]						)    ->							Optional[Any]:


			'''simple docstring'''





			lowerCAmelCase_       :Tuple     	=    {}
			for _, item in enumerate(UpperCamelCase__						):
						nodes.setdefault(item[2] ,	[]						).append(item[0]						)
			return nodes






def 		_snake_case			(      lowercase__						:    Any						)    ->							List[Any]:


			'''simple docstring'''





			lowerCAmelCase_       :Dict     	=    {}
			for key, value in nodes.items():
						lowerCAmelCase_       :Optional[Any]     	=    value
			return cluster






def 		_snake_case			(      lowercase__						:    int						)    ->							Tuple:


			'''simple docstring'''





			return [i * 1_0_0 / len(UpperCamelCase__						) for i in cluster]






def 		_snake_case			(      )    ->							None:


			'''simple docstring'''





			print("""\nNodes\n"""						)
			for key, value in nodes.items():
						print(UpperCamelCase__ ,	UpperCamelCase__						)
			print("""\nSupport\n"""						)
			print(UpperCamelCase__						)
			print("""\n Cluster \n"""						)
			for key, value in sorted(cluster.items() ,	reverse=UpperCamelCase__						):
						print(UpperCamelCase__ ,	UpperCamelCase__						)
			print("""\n Graph\n"""						)
			for key, value in graph.items():
						print(UpperCamelCase__ ,	UpperCamelCase__						)
			print("""\n Edge List of Frequent subgraphs \n"""						)
			for edge_list in freq_subgraph_edge_list:
						print(UpperCamelCase__						)






def 		_snake_case			(      lowercase__						:    List[Any] ,	lowercase__						:    Optional[int] ,	lowercase__						:    List[Any] ,	lowercase__						:    Any						)    ->							List[Any]:


			'''simple docstring'''





			for i in cluster[ca]:
						lowerCAmelCase_       :str     	=    0
						lowerCAmelCase_       :Optional[int]     	=    ca + 1
						while ca < max(cluster.keys()						):
									for j in cluster[ca]:
												if int(UpperCamelCase__ ,	2						) & int(UpperCamelCase__ ,	2						) == int(UpperCamelCase__ ,	2						):
															if tuple(nodes[i]						) in graph:
																		graph[tuple(nodes[i]						)].append(nodes[j]						)
															else:
																		lowerCAmelCase_       :Union[str, Any]     	=    [nodes[j]]
															count += 1
									if count == 0:
												lowerCAmelCase_       :Optional[Any]     	=    ca + 1
									else:
												break






def 		_snake_case			(      lowercase__						:    Any ,	lowercase__						:    Tuple						)    ->							List[Any]:


			'''simple docstring'''





			lowerCAmelCase_       :int     	=    cluster[max(cluster.keys()						)]
			lowerCAmelCase_       :Tuple     	=    '''Header'''
			lowerCAmelCase_       :List[Any]     	=    {}
			for i in x:
						if (["Header"],) in graph:
									graph[(["Header"],)].append(x[i]						)
						else:
									lowerCAmelCase_       :str     	=    [x[i]]
			for i in x:
						lowerCAmelCase_       :Union[str, Any]     	=    [['''Header''']]
			lowerCAmelCase_       :Union[str, Any]     	=    1
			while i < max(UpperCamelCase__						) - 1:
						create_edge(UpperCamelCase__ ,	UpperCamelCase__ ,	UpperCamelCase__ ,	UpperCamelCase__						)
						lowerCAmelCase_       :str     	=    i + 1
			return graph






def 		_snake_case			(      lowercase__						:    Dict ,	lowercase__						:    Tuple ,	lowercase__						:    Optional[int] ,	lowercase__						:    Tuple=None						)    ->							List[str]:


			'''simple docstring'''





			lowerCAmelCase_       :str     	=    (path or []) + [start]
			if start == end:
						paths.append(UpperCamelCase__						)
			for node in graph[start]:
						if tuple(UpperCamelCase__						) not in path:
									my_dfs(UpperCamelCase__ ,	tuple(UpperCamelCase__						) ,	UpperCamelCase__ ,	UpperCamelCase__						)






def 		_snake_case			(      lowercase__						:    Optional[int] ,	lowercase__						:    Optional[Any] ,	lowercase__						:    Tuple						)    ->							Optional[Any]:


			'''simple docstring'''





			lowerCAmelCase_       :List[Any]     	=    int(s / 1_0_0 * (len(UpperCamelCase__						) - 1)						)
			for i in cluster[k]:
						my_dfs(UpperCamelCase__ ,	tuple(cluster[k][i]						) ,	(["""Header"""],)						)






def 		_snake_case			(      lowercase__						:    Optional[int]						)    ->							int:


			'''simple docstring'''





			lowerCAmelCase_       :Any     	=    []
			for edges in paths:
						lowerCAmelCase_       :Dict     	=    []
						for j in range(len(UpperCamelCase__						) - 1						):
									lowerCAmelCase_       :int     	=    list(edges[j]						)
									for e in temp:
												lowerCAmelCase_       :List[Any]     	=    (e[0], e[1])
												el.append(UpperCamelCase__						)
						freq_sub_el.append(UpperCamelCase__						)
			return freq_sub_el






def 		_snake_case			(      lowercase__						:    Union[str, Any]						)    ->							int:


			'''simple docstring'''





			for i in range(len(UpperCamelCase__						)						):
						for j in range(len(edge_array[i]						)						):
									lowerCAmelCase_       :List[str]     	=    edge_array[i][j].split("""-"""						)
									lowerCAmelCase_       :Any     	=    t


if __name__ == "__main__":
				preprocess(edge_array)
				__UpperCAmelCase 					=    get_frequency_table(edge_array)
				__UpperCAmelCase 					=    get_nodes(frequency_table)
				__UpperCAmelCase 					=    get_cluster(nodes)
				__UpperCAmelCase 					=    get_support(cluster)
				__UpperCAmelCase 					=    construct_graph(cluster, nodes)
				find_freq_subgraph_given_support(60, cluster, graph)
				__UpperCAmelCase 					=    []
				__UpperCAmelCase 					=    freq_subgraphs_edge_list(paths)
				print_all()













'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


snake_case_     			=						logging.get_logger(__name__)

snake_case_     			=						{
    """apple/mobilevit-small""": """https://huggingface.co/apple/mobilevit-small/resolve/main/config.json""",
    """apple/mobilevit-x-small""": """https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json""",
    """apple/mobilevit-xx-small""": """https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json""",
    """apple/deeplabv3-mobilevit-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"""
    ),
    """apple/deeplabv3-mobilevit-x-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"""
    ),
    """apple/deeplabv3-mobilevit-xx-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"""
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}


class 	_lowercase    (				a					):
   _UpperCamelCase									= """mobilevit"""


   def __init__(			self     , _UpperCAmelCase=3     , _UpperCAmelCase=256     , _UpperCAmelCase=2     , _UpperCAmelCase=[144, 192, 240]     , _UpperCAmelCase=[16, 32, 64, 96, 128, 160, 640]     , _UpperCAmelCase=4     , _UpperCAmelCase=2.0     , _UpperCAmelCase=4.0     , _UpperCAmelCase="silu"     , _UpperCAmelCase=3     , _UpperCAmelCase=32     , _UpperCAmelCase=0.1     , _UpperCAmelCase=0.0     , _UpperCAmelCase=0.1     , _UpperCAmelCase=0.02     , _UpperCAmelCase=1E-5     , _UpperCAmelCase=True     , _UpperCAmelCase=256     , _UpperCAmelCase=[6, 12, 18]     , _UpperCAmelCase=0.1     , _UpperCAmelCase=255     , **_UpperCAmelCase     , ):
       super().__init__(**_UpperCAmelCase       )

       A							:							Union[str, Any]				=    num_channels
       A							:							Union[str, Any]				=    image_size
       A							:							List[str]				=    patch_size
       A							:							Any				=    hidden_sizes
       A							:							Dict				=    neck_hidden_sizes
       A							:							int				=    num_attention_heads
       A							:							List[str]				=    mlp_ratio
       A							:							List[Any]				=    expand_ratio
       A							:							Dict				=    hidden_act
       A							:							List[Any]				=    conv_kernel_size
       A							:							List[str]				=    output_stride
       A							:							Dict				=    hidden_dropout_prob
       A							:							List[str]				=    attention_probs_dropout_prob
       A							:							Optional[Any]				=    classifier_dropout_prob
       A							:							Any				=    initializer_range
       A							:							Union[str, Any]				=    layer_norm_eps
       A							:							Union[str, Any]				=    qkv_bias

       # decode head attributes for semantic segmentation
       A							:							int				=    aspp_out_channels
       A							:							Any				=    atrous_rates
       A							:							Tuple				=    aspp_dropout_prob
       A							:							List[Any]				=    semantic_loss_ignore_index







class 	_lowercase    (				a					):
   _UpperCamelCase									= version.parse("""1.11"""					)


   @property
   def        snake_case					(			self       ):
       return OrderedDict([('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''})]       )


   @property
   def        snake_case					(			self       ):
       if self.task == "image-classification":
           return OrderedDict([('''logits''', {0: '''batch'''})]       )
       else:
           return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]       )


   @property
   def        snake_case					(			self       ):
       return 1E-4
