


'''simple docstring'''



import argparse
import os
import re


__UpperCAmelCase      :Optional[int]			    =       "src/transformers"

# Pattern that looks at the indentation in a line.
__UpperCAmelCase      :Optional[int]			    =       re.compile(r"^(\s*)\S")
# Pattern that matches `"key":" and puts `key` in group 0.
__UpperCAmelCase      :str			    =       re.compile(r"^\s*\"([^\"]+)\":")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
__UpperCAmelCase      :Tuple			    =       re.compile(r"^\s*_import_structure\[\"([^\"]+)\"\]")
# Pattern that matches `"key",` and puts `key` in group 0.
__UpperCAmelCase      :Optional[Any]			    =       re.compile(r"^\s*\"([^\"]+)\",\s*$")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
__UpperCAmelCase      :Tuple			    =       re.compile(r"\[([^\]]+)\]")




def      _a     (						_lowercase :     str  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[int]  							=      _re_indent.search(_lowercase  )
     return "" if search is None else search.groups()[0]




def      _a     (						_lowercase :     Optional[Any]      , _lowercase :     List[Any]=""      , _lowercase :     int=None      , _lowercase :     List[Any]=None  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[Any]  							=      0
     __UpperCAmelCase     :			Optional[int]  							=      code.split('''\n'''  )
     if start_prompt is not None:
          while not lines[index].startswith(_lowercase  ):
               index += 1
          __UpperCAmelCase     :			Union[str, Any]  							=      ['''\n'''.join(lines[:index]  )]
     else:
          __UpperCAmelCase     :			int  							=      []

     # We split into blocks until we get to the `end_prompt` (or the end of the block).
     __UpperCAmelCase     :			str  							=      [lines[index]]
     index += 1
     while index < len(_lowercase  ) and (end_prompt is None or not lines[index].startswith(_lowercase  )):
          if len(lines[index]  ) > 0 and get_indent(lines[index]  ) == indent_level:
               if len(_lowercase  ) > 0 and get_indent(current_block[-1]  ).startswith(indent_level + ''' '''  ):
                    current_block.append(lines[index]  )
                    blocks.append('''\n'''.join(_lowercase  )  )
                    if index < len(_lowercase  ) - 1:
                         __UpperCAmelCase     :			Union[str, Any]  							=      [lines[index + 1]]
                         index += 1
                    else:
                         __UpperCAmelCase     :			Optional[Any]  							=      []
               else:
                    blocks.append('''\n'''.join(_lowercase  )  )
                    __UpperCAmelCase     :			int  							=      [lines[index]]
          else:
               current_block.append(lines[index]  )
          index += 1

     # Adds current block if it's nonempty.
     if len(_lowercase  ) > 0:
          blocks.append('''\n'''.join(_lowercase  )  )

     # Add final block after end_prompt if provided.
     if end_prompt is not None and index < len(_lowercase  ):
          blocks.append('''\n'''.join(lines[index:]  )  )

     return blocks




def      _a     (						_lowercase :     Optional[Any]  ):





     '''simple docstring'''






     def _inner(_lowercase :     List[str]  ):
          return key(_lowercase  ).lower().replace('''_'''      , ''''''  )

     return _inner




def      _a     (						_lowercase :     Dict      , _lowercase :     Optional[Any]=None  ):





     '''simple docstring'''






     def noop(_lowercase :     Tuple  ):
          return x

     if key is None:
          __UpperCAmelCase     :			List[str]  							=      noop
     # Constants are all uppercase, they go first.
     __UpperCAmelCase     :			str  							=      [obj for obj in objects if key(_lowercase  ).isupper()]
     # Classes are not all uppercase but start with a capital, they go second.
     __UpperCAmelCase     :			List[str]  							=      [obj for obj in objects if key(_lowercase  )[0].isupper() and not key(_lowercase  ).isupper()]
     # Functions begin with a lowercase, they go last.
     __UpperCAmelCase     :			Union[str, Any]  							=      [obj for obj in objects if not key(_lowercase  )[0].isupper()]

     __UpperCAmelCase     :			List[str]  							=      ignore_underscore(_lowercase  )
     return sorted(_lowercase      , key=_lowercase  ) + sorted(_lowercase      , key=_lowercase  ) + sorted(_lowercase      , key=_lowercase  )




def      _a     (						_lowercase :     Tuple  ):





     '''simple docstring'''






     def _replace(_lowercase :     int  ):
          __UpperCAmelCase     :			Dict  							=      match.groups()[0]
          if "," not in imports:
               return F'[{imports}]'
          __UpperCAmelCase     :			Any  							=      [part.strip().replace('''"'''      , ''''''  ) for part in imports.split(''','''  )]
          # We will have a final empty element if the line finished with a comma.
          if len(keys[-1]  ) == 0:
               __UpperCAmelCase     :			Dict  							=      keys[:-1]
          return "[" + ", ".join([F'"{k}"' for k in sort_objects(_lowercase  )]  ) + "]"

     __UpperCAmelCase     :			int  							=      import_statement.split('''\n'''  )
     if len(_lowercase  ) > 3:
          # Here we have to sort internal imports that are on several lines (one per name):
          # key: [
          #     "object1",
          #     "object2",
          #     ...
          # ]

          # We may have to ignore one or two lines on each side.
          __UpperCAmelCase     :			List[Any]  							=      2 if lines[1].strip() == '''[''' else 1
          __UpperCAmelCase     :			int  							=      [(i, _re_strip_line.search(_lowercase  ).groups()[0]) for i, line in enumerate(lines[idx:-idx]  )]
          __UpperCAmelCase     :			Any  							=      sort_objects(_lowercase      , key=lambda _lowercase  : x[1]  )
          __UpperCAmelCase     :			Tuple  							=      [lines[x[0] + idx] for x in sorted_indices]
          return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]  )
     elif len(_lowercase  ) == 3:
          # Here we have to sort internal imports that are on one separate line:
          # key: [
          #     "object1", "object2", ...
          # ]
          if _re_bracket_content.search(lines[1]  ) is not None:
               __UpperCAmelCase     :			Optional[int]  							=      _re_bracket_content.sub(_replace      , lines[1]  )
          else:
               __UpperCAmelCase     :			List[str]  							=      [part.strip().replace('''"'''      , ''''''  ) for part in lines[1].split(''','''  )]
               # We will have a final empty element if the line finished with a comma.
               if len(keys[-1]  ) == 0:
                    __UpperCAmelCase     :			Union[str, Any]  							=      keys[:-1]
               __UpperCAmelCase     :			Union[str, Any]  							=      get_indent(lines[1]  ) + ''', '''.join([F'"{k}"' for k in sort_objects(_lowercase  )]  )
          return "\n".join(_lowercase  )
     else:
          # Finally we have to deal with imports fitting on one line
          __UpperCAmelCase     :			List[str]  							=      _re_bracket_content.sub(_replace      , _lowercase  )
          return import_statement




def      _a     (						_lowercase :     Tuple      , _lowercase :     str=True  ):





     '''simple docstring'''






     with open(_lowercase      , encoding='''utf-8'''  ) as f:
          __UpperCAmelCase     :			List[str]  							=      f.read()

     if "_import_structure" not in code:
          return

     # Blocks of indent level 0
     __UpperCAmelCase     :			List[str]  							=      split_code_in_indented_blocks(
         _lowercase      , start_prompt='''_import_structure = {'''      , end_prompt='''if TYPE_CHECKING:'''  )

     # We ignore block 0 (everything untils start_prompt) and the last block (everything after end_prompt).
     for block_idx in range(1      , len(_lowercase  ) - 1  ):
          # Check if the block contains some `_import_structure`s thingy to sort.
          __UpperCAmelCase     :			Any  							=      main_blocks[block_idx]
          __UpperCAmelCase     :			Optional[Any]  							=      block.split('''\n'''  )

          # Get to the start of the imports.
          __UpperCAmelCase     :			List[str]  							=      0
          while line_idx < len(_lowercase  ) and "_import_structure" not in block_lines[line_idx]:
               # Skip dummy import blocks
               if "import dummy" in block_lines[line_idx]:
                    __UpperCAmelCase     :			int  							=      len(_lowercase  )
               else:
                    line_idx += 1
          if line_idx >= len(_lowercase  ):
               continue

          # Ignore beginning and last line: they don't contain anything.
          __UpperCAmelCase     :			Optional[Any]  							=      '''\n'''.join(block_lines[line_idx:-1]  )
          __UpperCAmelCase     :			Optional[Any]  							=      get_indent(block_lines[1]  )
          # Slit the internal block into blocks of indent level 1.
          __UpperCAmelCase     :			Optional[int]  							=      split_code_in_indented_blocks(_lowercase      , indent_level=_lowercase  )
          # We have two categories of import key: list or _import_structure[key].append/extend
          __UpperCAmelCase     :			Dict  							=      _re_direct_key if '''_import_structure = {''' in block_lines[0] else _re_indirect_key
          # Grab the keys, but there is a trap: some lines are empty or just comments.
          __UpperCAmelCase     :			int  							=      [(pattern.search(_lowercase  ).groups()[0] if pattern.search(_lowercase  ) is not None else None) for b in internal_blocks]
          # We only sort the lines with a key.
          __UpperCAmelCase     :			Optional[int]  							=      [(i, key) for i, key in enumerate(_lowercase  ) if key is not None]
          __UpperCAmelCase     :			List[Any]  							=      [x[0] for x in sorted(_lowercase      , key=lambda _lowercase  : x[1]  )]

          # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
          __UpperCAmelCase     :			str  							=      0
          __UpperCAmelCase     :			str  							=      []
          for i in range(len(_lowercase  )  ):
               if keys[i] is None:
                    reorderded_blocks.append(internal_blocks[i]  )
               else:
                    __UpperCAmelCase     :			List[str]  							=      sort_objects_in_import(internal_blocks[sorted_indices[count]]  )
                    reorderded_blocks.append(_lowercase  )
                    count += 1

        # And we put our main block back together with its first and last line.
          __UpperCAmelCase     :			List[Any]  							=      '''\n'''.join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]]  )

     if code != "\n".join(_lowercase  ):
          if check_only:
               return True
          else:
               print(F'Overwriting {file}.'  )
               with open(_lowercase      , '''w'''      , encoding='''utf-8'''  ) as f:
                    f.write('''\n'''.join(_lowercase  )  )




def      _a     (						_lowercase :     Optional[Any]=True  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Dict  							=      []
     for root, _, files in os.walk(_lowercase  ):
          if "__init__.py" in files:
               __UpperCAmelCase     :			Dict  							=      sort_imports(os.path.join(_lowercase      , '''__init__.py'''  )      , check_only=_lowercase  )
               if result:
                    __UpperCAmelCase     :			int  							=      [os.path.join(_lowercase      , '''__init__.py'''  )]
     if len(_lowercase  ) > 0:
          raise ValueError(F'Would overwrite {len(_lowercase  )} files, run `make style`.'  )


if __name__ == "__main__":
      __UpperCAmelCase      :Any			    =       argparse.ArgumentParser()
      parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
      __UpperCAmelCase      :Union[str, Any]			    =       parser.parse_args()

      sort_imports_in_all_inits(check_only=args.check_only)



'''simple docstring'''



from dataclasses import dataclass
from typing import Tuple

import numpy as np
import torch



@dataclass
class      a    :


     """simple docstring"""






     SCREAMING_SNAKE_CASE	:			torch.Tensor  # [batch_size x 3]
     SCREAMING_SNAKE_CASE	:			torch.Tensor  # [batch_size x 3]
     SCREAMING_SNAKE_CASE	:			torch.Tensor  # [batch_size x 3]
     SCREAMING_SNAKE_CASE	:			torch.Tensor  # [batch_size x 3]
     SCREAMING_SNAKE_CASE	:			int
     SCREAMING_SNAKE_CASE	:			int
     SCREAMING_SNAKE_CASE	:			float
     SCREAMING_SNAKE_CASE	:			float
     SCREAMING_SNAKE_CASE	:			Tuple[int]

     def 			lowerCamelCase__			(    self					:		Any      )						->							int:
          assert self.x.shape[0] == self.y.shape[0] == self.z.shape[0] == self.origin.shape[0]
          assert self.x.shape[1] == self.y.shape[1] == self.z.shape[1] == self.origin.shape[1] == 3
          assert len(self.x.shape      ) == len(self.y.shape      ) == len(self.z.shape      ) == len(self.origin.shape      ) == 2

     def 			lowerCamelCase__			(    self					:		Union[str, Any]      )						->							str:
          return torch.from_numpy(np.array([self.width, self.height]							,			dtype=np.floataa      )      )

     def 			lowerCamelCase__			(    self					:		Any      )						->							Optional[Any]:
          return torch.from_numpy(np.array([self.x_fov, self.y_fov]							,			dtype=np.floataa      )      )

     def 			lowerCamelCase__			(    self					:		Any      )						->							torch.Tensor:
          __UpperCAmelCase     :			Dict  							=      torch.arange(self.height * self.width      )
          __UpperCAmelCase     :			Dict  							=      torch.stack(
              [
                  pixel_indices % self.width,
                  torch.div(snake_case							,			self.width							,			rounding_mode='''trunc'''      ),
              ]							,			axis=1							,			)
          return coords

     @property
     def 			lowerCamelCase__			(    self					:		Any      )						->							int:
          __UpperCAmelCase							,       *__UpperCAmelCase     :			str  							=      self.shape
          __UpperCAmelCase     :			Dict  							=      int(np.prod(snake_case      )      )

          __UpperCAmelCase     :			Tuple  							=      self.get_image_coords()
          __UpperCAmelCase     :			List[Any]  							=      torch.broadcast_to(coords.unsqueeze(0      )							,			[batch_size * inner_batch_size, *coords.shape]      )
          __UpperCAmelCase     :			Any  							=      self.get_camera_rays(snake_case      )

          __UpperCAmelCase     :			List[str]  							=      rays.view(snake_case							,			inner_batch_size * self.height * self.width							,			2							,			3      )

          return rays

     def 			lowerCamelCase__			(    self					:		Union[str, Any]							,			snake_case					:		torch.Tensor      )						->							torch.Tensor:
          __UpperCAmelCase							,       *__UpperCAmelCase							,       __UpperCAmelCase     :			List[str]  							=      coords.shape
          assert n_coords == 2
          assert batch_size == self.origin.shape[0]

          __UpperCAmelCase     :			List[str]  							=      coords.view(snake_case							,			-1							,			2      )

          __UpperCAmelCase     :			Optional[Any]  							=      self.resolution()
          __UpperCAmelCase     :			Tuple  							=      self.fov()

          __UpperCAmelCase     :			Optional[int]  							=      (flat.float() / (res - 1)) * 2 - 1
          __UpperCAmelCase     :			Union[str, Any]  							=      fracs * torch.tan(fov / 2      )

          __UpperCAmelCase     :			str  							=      fracs.view(snake_case							,			-1							,			2      )
          __UpperCAmelCase     :			Any  							=      (
              self.z.view(snake_case							,			1							,			3      )
              + self.x.view(snake_case							,			1							,			3      ) * fracs[:, :, :1]
              + self.y.view(snake_case							,			1							,			3      ) * fracs[:, :, 1:]
          )
          __UpperCAmelCase     :			Union[str, Any]  							=      directions / directions.norm(dim=-1							,			keepdim=snake_case      )
          __UpperCAmelCase     :			Union[str, Any]  							=      torch.stack(
              [
                  torch.broadcast_to(self.origin.view(snake_case							,			1							,			3      )							,			[batch_size, directions.shape[1], 3]      ),
                  directions,
              ]							,			dim=2							,			)
          return rays.view(snake_case							,			*snake_case							,			2							,			3      )






     def 			lowerCamelCase__			(    self					:		Any							,			snake_case					:		int							,			snake_case					:		int      )						->							"DifferentiableProjectiveCamera":
          assert width * self.height == height * self.width, "The aspect ratio should not change."
          return DifferentiableProjectiveCamera(
              origin=self.origin							,			x=self.x							,			y=self.y							,			z=self.z							,			width=snake_case							,			height=snake_case							,			x_fov=self.x_fov							,			y_fov=self.y_fov							,			)




def      _a     (						_lowercase :     int  ):





     '''simple docstring'''






     __UpperCAmelCase     :			str  							=      []
     __UpperCAmelCase     :			Optional[int]  							=      []
     __UpperCAmelCase     :			Union[str, Any]  							=      []
     __UpperCAmelCase     :			List[Any]  							=      []
     for theta in np.linspace(0      , 2 * np.pi      , num=20  ):
          __UpperCAmelCase     :			Dict  							=      np.array([np.sin(_lowercase  ), np.cos(_lowercase  ), -0.5]  )
          z /= np.sqrt(np.sum(z**2  )  )
          __UpperCAmelCase     :			Any  							=      -z * 4
          __UpperCAmelCase     :			Dict  							=      np.array([np.cos(_lowercase  ), -np.sin(_lowercase  ), 0.0]  )
          __UpperCAmelCase     :			List[str]  							=      np.cross(_lowercase      , _lowercase  )
          origins.append(_lowercase  )
          xs.append(_lowercase  )
          ys.append(_lowercase  )
          zs.append(_lowercase  )
     return DifferentiableProjectiveCamera(
         origin=torch.from_numpy(np.stack(_lowercase      , axis=0  )  ).float()      , x=torch.from_numpy(np.stack(_lowercase      , axis=0  )  ).float()      , y=torch.from_numpy(np.stack(_lowercase      , axis=0  )  ).float()      , z=torch.from_numpy(np.stack(_lowercase      , axis=0  )  ).float()      , width=_lowercase      , height=_lowercase      , x_fov=0.7      , y_fov=0.7      , shape=(1, len(_lowercase  ))      , )