



import argparse
import re

import torch
from CLAP import create_model

from transformers import AutoFeatureExtractor, ClapConfig, ClapModel


a__      :				Union[str, Any]   	=			{
    "text_branch": "text_model",
    "audio_branch": "audio_model.audio_encoder",
    "attn": "attention.self",
    "self.proj": "output.dense",
    "attention.self_mask": "attn_mask",
    "mlp.fc1": "intermediate.dense",
    "mlp.fc2": "output.dense",
    "norm1": "layernorm_before",
    "norm2": "layernorm_after",
    "bn0": "batch_norm",
}

a__      :				List[str]   	=			AutoFeatureExtractor.from_pretrained("laion/clap-htsat-unfused", truncation="rand_trunc")

def   _lowerCAmelCase   (						A__						,  A__=False	):
      lowercase__,	lowercase__     =  create_model(
          'HTSAT-tiny'						,  'roberta'						,  A__						,  precision='fp32'						,  device='cuda:0' if torch.cuda.is_available() else 'cpu'						,  enable_fusion=A__						,  fusion_type='aff_2d' if enable_fusion else None						,  )
      return model, model_cfg

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  {}

      lowercase__     =  r'.*sequential.(\d+).*'
      lowercase__     =  r'.*_projection.(\d+).*'

      for key, value in state_dict.items():
            # check if any key needs to be modified
            for key_to_modify, new_key in KEYS_TO_MODIFY_MAPPING.items():
                  if key_to_modify in key:
                        lowercase__     =  key.replace(A__						,  A__	)

            if re.match(A__						,  A__	):
                  # replace sequential layers with list
                  lowercase__     =  re.match(A__						,  A__	).group(1	)

                  lowercase__     =  key.replace(F'''sequential.{sequential_layer}.'''						,  F'''layers.{int(A__	)//3}.linear.'''	)
            elif re.match(A__						,  A__	):
                  lowercase__     =  int(re.match(A__						,  A__	).group(1	)	)

                  # Because in CLAP they use `nn.Sequential`...
                  lowercase__     =  1 if projecton_layer == 0 else 2

                  lowercase__     =  key.replace(F'''_projection.{projecton_layer}.'''						,  F'''_projection.linear{transformers_projection_layer}.'''	)

            if "audio" and "qkv" in key:
                  # split qkv into query key and value
                  lowercase__     =  value
                  lowercase__     =  mixed_qkv.size(0	) // 3

                  lowercase__     =  mixed_qkv[:qkv_dim]
                  lowercase__     =  mixed_qkv[qkv_dim : qkv_dim * 2]
                  lowercase__     =  mixed_qkv[qkv_dim * 2 :]

                  lowercase__     =  query_layer
                  lowercase__     =  key_layer
                  lowercase__     =  value_layer
            else:
                  lowercase__     =  value

      return model_state_dict

def   _lowerCAmelCase   (						A__						,  A__						,  A__						,  A__=False	):
      lowercase__,	lowercase__     =  init_clap(A__						,  enable_fusion=A__	)

      clap_model.eval()
      lowercase__     =  clap_model.state_dict()
      lowercase__     =  rename_state_dict(A__	)

      lowercase__     =  ClapConfig()
      lowercase__     =  enable_fusion
      lowercase__     =  ClapModel(A__	)

      # ignore the spectrogram embedding layer
      model.load_state_dict(A__						,  strict=A__	)

      model.save_pretrained(A__	)
      transformers_config.save_pretrained(A__	)


if __name__ == "__main__":
       a__      :				str   	=			argparse.ArgumentParser()
       parser.add_argument("--pytorch_dump_folder_path", default=None, type=str, help="Path to the output PyTorch model.")
       parser.add_argument("--checkpoint_path", default=None, type=str, help="Path to fairseq checkpoint")
       parser.add_argument("--config_path", default=None, type=str, help="Path to hf config.json of model to convert")
       parser.add_argument("--enable_fusion", action="store_true", help="Whether to enable fusion or not")
       a__      :				Optional[Any]   	=			parser.parse_args()

       convert_clap_checkpoint(args.checkpoint_path, args.pytorch_dump_folder_path, args.config_path, args.enable_fusion)





import heapq
import sys

import numpy as np

a__      :				Dict   	=			tuple[int, int]



class       UpperCAmelCase__:

   '''simple docstring'''




   def __init__(						self  :			List[str])	->				Any:




         """simple docstring"""

         lowercase__     =  []
         lowercase__     =  set()


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Union[str, Any]:




         """simple docstring"""

         if not self.empty():
               return self.elements[0][0]
         else:
               return float('inf')


   def 			UpperCAmelCase		(						self  :			int)	->				str:




         """simple docstring"""

         return len(self.elements) == 0


   def 			UpperCAmelCase		(						self  :			Dict			,				lowerCAmelCase  :			List[Any]			,				lowerCAmelCase  :			List[str])	->				List[str]:




         """simple docstring"""

         if item not in self.set:
               heapq.heappush(self.elements			,				(priority, item))
               self.set.add(lowerCAmelCase)
         else:
               # update
               # print("update", item)
               lowercase__     =  []
               ((lowercase__),	(lowercase__))     =  heapq.heappop(self.elements)
               while x != item:
                     temp.append((pri, x))
                     ((lowercase__),	(lowercase__))     =  heapq.heappop(self.elements)
               temp.append((priority, item))
               for pro, xxx in temp:
                     heapq.heappush(self.elements			,				(pro, xxx))


   def 			UpperCAmelCase		(						self  :			Optional[Any]			,				lowerCAmelCase  :			int)	->				Tuple:




         """simple docstring"""

         if item in self.set:
               self.set.remove(lowerCAmelCase)
               lowercase__     =  []
               ((lowercase__),	(lowercase__))     =  heapq.heappop(self.elements)
               while x != item:
                     temp.append((pro, x))
                     ((lowercase__),	(lowercase__))     =  heapq.heappop(self.elements)
               for prito, yyy in temp:
                     heapq.heappush(self.elements			,				(prito, yyy))


   def 			UpperCAmelCase		(						self  :			Dict)	->				List[Any]:




         """simple docstring"""

         return self.elements[0][1]



   def 			UpperCAmelCase		(						self  :			List[str])	->				str:




         """simple docstring"""

         ((lowercase__),	(lowercase__))     =  heapq.heappop(self.elements)
         self.set.remove(lowerCAmelCase)
         return (priority, item)

def   _lowerCAmelCase   (						A__						,  A__	):
      # euclidean distance
      lowercase__     =  np.array(A__	)
      lowercase__     =  np.array(A__	)
      return np.linalg.norm(a - b	)

def   _lowerCAmelCase   (						A__						,  A__	):
      # integer division by time variable
      return consistent_heuristic(A__						,  A__	) // t

def   _lowerCAmelCase   (						A__						,  A__	):
      # manhattan distance
      return abs(p[0] - goal[0]	) + abs(p[1] - goal[1]	)

def   _lowerCAmelCase   (						A__						,  A__						,  A__						,  A__	):
      lowercase__     =  g_function[start] + Wa * heuristics[i](A__						,  A__	)
      return ans

def   _lowerCAmelCase   (						A__						,  A__						,  A__	):
      lowercase__     =  np.chararray((n, n)	)
      for i in range(A__	):
            for j in range(A__	):
                  lowercase__     =  '*'

      for i in range(A__	):
            for j in range(A__	):
                  if (j, (n - 1) - i) in blocks:
                        lowercase__     =  '#'

      lowercase__     =  '-'
      lowercase__     =  back_pointer[goal]
      while x != start:
            ((lowercase__),	(lowercase__))     =  x
            # print(x)
            lowercase__     =  '-'
            lowercase__     =  back_pointer[x]
      lowercase__     =  '-'

      for i in range(A__	):
            for j in range(A__	):
                  if (i, j) == (0, n - 1):
                        print(grid[i][j]						,  end=' '	)
                        print('<-- End position'						,  end=' '	)
                  else:
                        print(grid[i][j]						,  end=' '	)
            print()
      print('^'	)
      print('Start position'	)
      print()
      print('# is an obstacle'	)
      print('- is the path taken by algorithm'	)
      print('PATH TAKEN BY THE ALGORITHM IS:-'	)
      lowercase__     =  back_pointer[goal]
      while x != start:
            print(A__						,  end=' '	)
            lowercase__     =  back_pointer[x]
      print(A__	)
      sys.exit()

def   _lowerCAmelCase   (						A__	):
      if p[0] < 0 or p[0] > n - 1:
            return False
      if p[1] < 0 or p[1] > n - 1:
            return False
      return True

def   _lowerCAmelCase   (						A__						,  A__						,  A__						,  A__						,  A__						,  A__						,  A__						,  A__						,  ):
      for itera in range(A__	):
            open_list[itera].remove_element(A__	)
      # print("s", s)
      # print("j", j)
      ((lowercase__),	(lowercase__))     =  s
      lowercase__     =  (x - 1, y)
      lowercase__     =  (x + 1, y)
      lowercase__     =  (x, y + 1)
      lowercase__     =  (x, y - 1)

      for neighbours in [left, right, up, down]:
            if neighbours not in blocks:
                  if valid(A__	) and neighbours not in visited:
                        # print("neighbour", neighbours)
                        visited.add(A__	)
                        lowercase__     =  -1
                        lowercase__     =  float('inf'	)

                  if valid(A__	) and g_function[neighbours] > g_function[s] + 1:
                        lowercase__     =  g_function[s] + 1
                        lowercase__     =  s
                        if neighbours not in close_list_anchor:
                              open_list[0].put(A__						,  key(A__						,  0						,  A__						,  A__	)	)
                              if neighbours not in close_list_inad:
                                    for var in range(1						,  A__	):
                                          if key(A__						,  A__						,  A__						,  A__	) <= Wa * key(
                                              A__						,  0						,  A__						,  A__	):
                                                open_list[j].put(
                                                    A__						,  key(A__						,  A__						,  A__						,  A__	)	)

def   _lowerCAmelCase   (						):
      lowercase__     =  []
      for x in range(1						,  5	):
            for y in range(1						,  6	):
                  some_list.append((x, y)	)

      for x in range(15						,  20	):
            some_list.append((x, 17)	)

      for x in range(10						,  19	):
            for y in range(1						,  15	):
                  some_list.append((x, y)	)

    # L block
      for x in range(1						,  4	):
            for y in range(12						,  19	):
                  some_list.append((x, y)	)
      for x in range(3						,  13	):
            for y in range(16						,  19	):
                  some_list.append((x, y)	)
      return some_list


a__      :				str   	=			{0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

a__      :				Any   	=			[
    (0, 1),
    (1, 1),
    (2, 1),
    (3, 1),
    (4, 1),
    (5, 1),
    (6, 1),
    (7, 1),
    (8, 1),
    (9, 1),
    (10, 1),
    (11, 1),
    (12, 1),
    (13, 1),
    (14, 1),
    (15, 1),
    (16, 1),
    (17, 1),
    (18, 1),
    (19, 1),
]
a__      :				Any   	=			make_common_ground()


a__      :				Union[str, Any]   	=			blocks_blk
# hyper parameters
a__      :				List[Any]   	=			1
a__      :				List[str]   	=			1
a__      :				Optional[int]   	=			20
a__      :				Optional[Any]   	=			3  # one consistent and two other inconsistent

# start and end destination
a__      :				Tuple   	=			(0, 0)
a__      :				str   	=			(n - 1, n - 1)

a__      :				Optional[Any]   	=			1

def   _lowerCAmelCase   (						A__						,  A__						,  A__	):
      lowercase__     =  {start: 0, goal: float('inf'	)}
      lowercase__     =  {start: -1, goal: -1}
      lowercase__     =  []
      lowercase__     =  set()

      for i in range(A__	):
            open_list.append(PriorityQueue()	)
            open_list[i].put(A__						,  key(A__						,  A__						,  A__						,  A__	)	)

      lowercase__     =  []
      lowercase__     =  []
      while open_list[0].minkey() < float('inf'	):
            for i in range(1						,  A__	):
                  # print(open_list[0].minkey(), open_list[i].minkey())
                  if open_list[i].minkey() <= Wa * open_list[0].minkey():
                        global t
                        t += 1
                        if g_function[goal] <= open_list[i].minkey():
                              if g_function[goal] < float('inf'	):
                                    do_something(A__						,  A__						,  A__	)
                        else:
                              lowercase__,	lowercase__     =  open_list[i].top_show()
                              visited.add(A__	)
                              expand_state(
                                  A__						,  A__						,  A__						,  A__						,  A__						,  A__						,  A__						,  A__						,  )
                              close_list_inad.append(A__	)
                  else:
                        if g_function[goal] <= open_list[0].minkey():
                              if g_function[goal] < float('inf'	):
                                    do_something(A__						,  A__						,  A__	)
                        else:
                              lowercase__     =  open_list[0].top_show()
                              visited.add(A__	)
                              expand_state(
                                  A__						,  0						,  A__						,  A__						,  A__						,  A__						,  A__						,  A__						,  )
                              close_list_anchor.append(A__	)
      print('No path found to goal'	)
      print()
      for i in range(n - 1						,  -1						,  -1	):
            for j in range(A__	):
                  if (j, i) in blocks:
                        print('#'						,  end=' '	)
                  elif (j, i) in back_pointer:
                        if (j, i) == (n - 1, n - 1):
                              print('*'						,  end=' '	)
                        else:
                              print('-'						,  end=' '	)
                  else:
                        print('*'						,  end=' '	)
                  if (j, i) == (n - 1, n - 1):
                        print('<-- End position'						,  end=' '	)
            print()
      print('^'	)
      print('Start position'	)
      print()
      print('# is an obstacle'	)
      print('- is the path taken by algorithm'	)


if __name__ == "__main__":
       multi_a_star(start, goal, n_heuristic)
