
"""simple docstring"""




import argparse
import os
import re


A__      :	int          =    """src/diffusers"""

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



def 							a__ (				lowerCAmelCase	:       Optional[Any]		):






     '''simple docstring'''
     UpperCAmelCase__							: str 							=						_re_indent.search(lowerCAmelCase		)
     return "" if search is None else search.groups()[0]



def 							a__ (				lowerCAmelCase	:       Any       ,    lowerCAmelCase	:       List[str]=""       ,    lowerCAmelCase	:       str=None       ,    lowerCAmelCase	:       int=None		):






     '''simple docstring'''
     UpperCAmelCase__							: Optional[Any] 							=						0
     UpperCAmelCase__							: Optional[int] 							=						code.split("\n"		)
     if start_prompt is not None:
          while not lines[index].startswith(lowerCAmelCase		):
               index += 1
          UpperCAmelCase__							: str 							=						["\n".join(lines[:index]		)]
     else:
          UpperCAmelCase__							: List[Any] 							=						[]

     # 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(lowerCAmelCase		) and (end_prompt is None or not lines[index].startswith(lowerCAmelCase		)):
          if len(lines[index]		) > 0 and get_indent(lines[index]		) == indent_level:
               if len(lowerCAmelCase		) > 0 and get_indent(current_block[-1]		).startswith(indent_level + " "		):
                    current_block.append(lines[index]		)
                    blocks.append("\n".join(lowerCAmelCase		)		)
                    if index < len(lowerCAmelCase		) - 1:
                         UpperCAmelCase__							: Union[str, Any] 							=						[lines[index + 1]]
                         index += 1
                    else:
                         UpperCAmelCase__							: Optional[Any] 							=						[]
               else:
                    blocks.append("\n".join(lowerCAmelCase		)		)
                    UpperCAmelCase__							: Union[str, Any] 							=						[lines[index]]
          else:
               current_block.append(lines[index]		)
          index += 1

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

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

     return blocks



def 							a__ (				lowerCAmelCase	:       str		):






     '''simple docstring'''

     def _inner(lowerCAmelCase	:       Dict		):
          return key(lowerCAmelCase		).lower().replace("_"       ,    ""		)

     return _inner



def 							a__ (				lowerCAmelCase	:       Tuple       ,    lowerCAmelCase	:       Tuple=None		):






     '''simple docstring'''

     # If no key is provided, we use a noop.
     def noop(lowerCAmelCase	:       Dict		):
          return x

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

     UpperCAmelCase__							: Union[str, Any] 							=						ignore_underscore(lowerCAmelCase		)
     return sorted(lowerCAmelCase       ,    key=lowerCAmelCase		) + sorted(lowerCAmelCase       ,    key=lowerCAmelCase		) + sorted(lowerCAmelCase       ,    key=lowerCAmelCase		)



def 							a__ (				lowerCAmelCase	:       Union[str, Any]		):






     '''simple docstring'''

     # This inner function sort imports between [ ].
     def _replace(lowerCAmelCase	:       List[Any]		):
          UpperCAmelCase__							: int 							=						match.groups()[0]
          if "," not in imports:
               return F"[{imports}]"
          UpperCAmelCase__							: str 							=						[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(lowerCAmelCase		)]		) + "]"

     UpperCAmelCase__							: List[Any] 							=						import_statement.split("\n"		)
     if len(lowerCAmelCase		) > 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__							: str 							=						2 if lines[1].strip() == "[" else 1
          UpperCAmelCase__							: int 							=						[(i, _re_strip_line.search(lowerCAmelCase		).groups()[0]) for i, line in enumerate(lines[idx:-idx]		)]
          UpperCAmelCase__							: int 							=						sort_objects(lowerCAmelCase       ,    key=lambda lowerCAmelCase		: x[1]		)
          UpperCAmelCase__							: str 							=						[lines[x[0] + idx] for x in sorted_indices]
          return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]		)
     elif len(lowerCAmelCase		) == 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__							: Union[str, Any] 							=						_re_bracket_content.sub(_replace       ,    lines[1]		)
          else:
               UpperCAmelCase__							: Optional[Any] 							=						[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__							: Tuple 							=						keys[:-1]
               UpperCAmelCase__							: Union[str, Any] 							=						get_indent(lines[1]		) + ", ".join([F"\"{k}\"" for k in sort_objects(lowerCAmelCase		)]		)
          return "\n".join(lowerCAmelCase		)
     else:
          # Finally we have to deal with imports fitting on one line
          UpperCAmelCase__							: Any 							=						_re_bracket_content.sub(_replace       ,    lowerCAmelCase		)
          return import_statement



def 							a__ (				lowerCAmelCase	:       int       ,    lowerCAmelCase	:       Union[str, Any]=True		):






     '''simple docstring'''
     with open(lowerCAmelCase       ,    "r"		) as f:
          UpperCAmelCase__							: List[str] 							=						f.read()

     if "_import_structure" not in code:
          return

     # Blocks of indent level 0
     UpperCAmelCase__							: Tuple 							=						split_code_in_indented_blocks(
         lowerCAmelCase       ,    start_prompt="_import_structure = {"       ,    end_prompt="if TYPE_CHECKING:"		)

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

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

          # Ignore beginning and last line: they don't contain anything.
          UpperCAmelCase__							: Dict 							=						"\n".join(block_lines[line_idx:-1]		)
          UpperCAmelCase__							: Union[str, Any] 							=						get_indent(block_lines[1]		)
          # Slit the internal block into blocks of indent level 1.
          UpperCAmelCase__							: Union[str, Any] 							=						split_code_in_indented_blocks(lowerCAmelCase       ,    indent_level=lowerCAmelCase		)
          # We have two categories of import key: list or _import_structure[key].append/extend
          UpperCAmelCase__							: str 							=						_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__							: Optional[int] 							=						[(pattern.search(lowerCAmelCase		).groups()[0] if pattern.search(lowerCAmelCase		) 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(lowerCAmelCase		) if key is not None]
          UpperCAmelCase__							: str 							=						[x[0] for x in sorted(lowerCAmelCase       ,    key=lambda lowerCAmelCase		: x[1]		)]

          # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
          UpperCAmelCase__							: str 							=						0
          UpperCAmelCase__							: Union[str, Any] 							=						[]
          for i in range(len(lowerCAmelCase		)		):
               if keys[i] is None:
                    reordered_blocks.append(internal_blocks[i]		)
               else:
                    UpperCAmelCase__							: int 							=						sort_objects_in_import(internal_blocks[sorted_indices[count]]		)
                    reordered_blocks.append(lowerCAmelCase		)
                    count += 1

        # And we put our main block back together with its first and last line.
          UpperCAmelCase__							: Dict 							=						"\n".join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]		)

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



def 							a__ (				lowerCAmelCase	:       Optional[Any]=True		):






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


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

  sort_imports_in_all_inits(check_only=args.check_only)





"""simple docstring"""




import warnings
from pathlib import Path
from typing import List, Tuple, Union

import fire
from torch import nn

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer, PreTrainedModel
from transformers.utils import logging


A__      :	Tuple          =    logging.get_logger(__name__)



def 							a__ (				lowerCAmelCase	:       nn.ModuleList       ,    lowerCAmelCase	:       nn.ModuleList       ,    lowerCAmelCase	:       List[int]		):






     '''simple docstring'''
     UpperCAmelCase__							: Optional[Any] 							=						nn.ModuleList([src_layers[i] for i in layers_to_copy]		)
     assert len(lowerCAmelCase		) == len(lowerCAmelCase		), F"{len(lowerCAmelCase		)} != {len(lowerCAmelCase		)}"
     dest_layers.load_state_dict(layers_to_copy.state_dict()		)


A__      :	List[Any]          =    {
    # maps  num layers in teacher -> num_layers in student -> which teacher layers to copy.
    # 12: bart, 16: pegasus, 6: marian/Helsinki-NLP
    12: {
        1: [0],  # This says that if the teacher has 12 layers and the student has 1, copy layer 0 of the teacher
        2: [0, 6],
        3: [0, 6, 11],
        4: [0, 4, 8, 11],
        6: [0, 2, 4, 7, 9, 11],
        9: [0, 1, 2, 4, 5, 7, 9, 10, 11],
        12: list(range(12)),
    },
    16: {  # maps  num layers in student -> which teacher layers to copy
        1: [0],
        2: [0, 15],
        3: [0, 8, 15],
        4: [0, 5, 10, 15],
        6: [0, 3, 6, 9, 12, 15],
        8: [0, 2, 4, 6, 8, 10, 12, 15],
        9: [0, 1, 3, 5, 7, 9, 11, 13, 15],
        12: [0, 1, 2, 3, 4, 5, 6, 7, 9, 11, 13, 15],
        16: list(range(16)),
    },
    6: {1: [0], 2: [0, 5], 3: [0, 2, 5], 4: [0, 1, 3, 5], 6: list(range(6))},
}
A__      :	List[Any]          =    {
    # maps  num layers in student -> which teacher layers to copy.
    6: {1: [5], 2: [3, 5], 3: [1, 4, 5], 4: [1, 2, 4, 5]},
    12: {1: [11], 2: [5, 11], 3: [3, 7, 11], 6: [1, 3, 5, 8, 10, 11]},
    16: {1: [15], 4: [4, 9, 12, 15], 8: [1, 3, 5, 7, 9, 11, 13, 15]},
}



def 							a__ (				lowerCAmelCase	:       Dict       ,    lowerCAmelCase	:       Dict		):






     '''simple docstring'''
     try:
          UpperCAmelCase__							: Tuple 							=						LAYERS_TO_COPY[n_teacher][n_student]
          return val
     except KeyError:
          if n_student != n_teacher:
               warnings.warn(
                   F"no hardcoded layers to copy for teacher {n_teacher} -> student {n_student}, defaulting to first"
                   F" {n_student}"		)
          return list(range(lowerCAmelCase		)		)



def 							a__ (				lowerCAmelCase	:       int       ,    lowerCAmelCase	:       Tuple		):






     '''simple docstring'''
     if n_student > n_teacher:
          raise ValueError(F"Cannot perform intermediate supervision for student {n_student} > teacher {n_teacher}"		)
     elif n_teacher == n_student:
          return list(range(lowerCAmelCase		)		)
     elif n_student == 1:
          return [n_teacher - 1]
     else:
          return LAYERS_TO_SUPERVISE[n_teacher][n_student]



def 							a__ (				lowerCAmelCase	:       Union[str, PreTrainedModel]       ,    lowerCAmelCase	:       Union[str, Path] = "student"       ,    lowerCAmelCase	:       Union[int, None] = None       ,    lowerCAmelCase	:       Union[int, None] = None       ,    lowerCAmelCase	:       List[str]=False       ,    lowerCAmelCase	:       List[str]=None       ,    lowerCAmelCase	:       List[str]=None       ,    **lowerCAmelCase	:       List[str]       ,    ):






     '''simple docstring'''
     UpperCAmelCase__							: List[str] 							=						"encoder_layers and decoder_layers cannot be both None-- you would just have an identical teacher."
     assert (e is not None) or (d is not None), _msg
     if isinstance(lowerCAmelCase       ,    lowerCAmelCase		):
          AutoTokenizer.from_pretrained(lowerCAmelCase		).save_pretrained(lowerCAmelCase		)  # purely for convenience
          UpperCAmelCase__							: List[str] 							=						AutoModelForSeqaSeqLM.from_pretrained(lowerCAmelCase		).eval()
     else:
          assert isinstance(lowerCAmelCase       ,    lowerCAmelCase		), F"teacher must be a model or string got type {type(lowerCAmelCase		)}"
     UpperCAmelCase__							: int 							=						teacher.config.to_diff_dict()

     try:
          UpperCAmelCase__							,	UpperCAmelCase__							: Optional[Any] 							=						teacher.config.encoder_layers, teacher.config.decoder_layers
          if e is None:
               UpperCAmelCase__							: Tuple 							=						teacher_e
          if d is None:
               UpperCAmelCase__							: str 							=						teacher_d
          init_kwargs.update({"encoder_layers": e, "decoder_layers": d}		)
     except AttributeError:  # T5
          if hasattr(teacher.config       ,    "num_encoder_layers"		):
               UpperCAmelCase__							,	UpperCAmelCase__							: Union[str, Any] 							=						teacher.config.num_encoder_layers, teacher.config.num_decoder_layers
          else:
               UpperCAmelCase__							,	UpperCAmelCase__							: Union[str, Any] 							=						teacher.config.num_layers, teacher.config.num_decoder_layers
          if e is None:
               UpperCAmelCase__							: Optional[Any] 							=						teacher_e
          if d is None:
               UpperCAmelCase__							: Optional[Any] 							=						teacher_d
          if hasattr(teacher.config       ,    "num_encoder_layers"		):
               init_kwargs.update({"num_encoder_layers": e, "num_decoder_layers": d}		)
          else:
               init_kwargs.update({"num_layers": e, "num_decoder_layers": d}		)

    # Kwargs to instantiate student: teacher kwargs with updated layer numbers + **extra_config_kwargs
     init_kwargs.update(lowerCAmelCase		)

     # Copy weights
     UpperCAmelCase__							: Tuple 							=						teacher.config_class(**lowerCAmelCase		)
     UpperCAmelCase__							: List[str] 							=						AutoModelForSeqaSeqLM.from_config(lowerCAmelCase		)
     # Start by copying the full teacher state dict this will copy the first N teacher layers to the student.
     UpperCAmelCase__							: Optional[int] 							=						student.load_state_dict(teacher.state_dict()       ,    strict=lowerCAmelCase		)
     assert info.missing_keys == [], info.missing_keys  # every student key should have a teacher keys.

     if copy_first_teacher_layers:  # Our copying is done. We just log and save
          UpperCAmelCase__							,	UpperCAmelCase__							: int 							=						list(range(lowerCAmelCase		)		), list(range(lowerCAmelCase		)		)
          logger.info(
              F"Copied encoder layers {e_layers_to_copy} and decoder layers {d_layers_to_copy}. Saving them to"
              F" {save_path}"		)
          student.save_pretrained(lowerCAmelCase		)
          return student, e_layers_to_copy, d_layers_to_copy

     # Decide which layers of the teacher to copy. Not exactly alternating -- we try to keep first and last layer.
     if e_layers_to_copy is None:
          UpperCAmelCase__							: List[int] 							=						pick_layers_to_copy(lowerCAmelCase       ,    lowerCAmelCase		)
     if d_layers_to_copy is None:
          UpperCAmelCase__							: List[int] 							=						pick_layers_to_copy(lowerCAmelCase       ,    lowerCAmelCase		)

     try:
          if hasattr(
              lowerCAmelCase       ,    "prophetnet"		):  # For ProphetNet, student.model.encoder.layers is called student.prophetnet.encoder.layers
               copy_layers(teacher.prophetnet.encoder.layers       ,    student.prophetnet.encoder.layers       ,    lowerCAmelCase		)
               copy_layers(teacher.prophetnet.decoder.layers       ,    student.prophetnet.decoder.layers       ,    lowerCAmelCase		)
          else:
               copy_layers(teacher.model.encoder.layers       ,    student.model.encoder.layers       ,    lowerCAmelCase		)
               copy_layers(teacher.model.decoder.layers       ,    student.model.decoder.layers       ,    lowerCAmelCase		)
     except AttributeError:  # For t5, student.model.encoder.layers is called student.encoder.block
          copy_layers(teacher.encoder.block       ,    student.encoder.block       ,    lowerCAmelCase		)
          copy_layers(teacher.decoder.block       ,    student.decoder.block       ,    lowerCAmelCase		)
     logger.info(
         F"Copied encoder layers {e_layers_to_copy} and decoder layers {d_layers_to_copy}. Saving them to {save_path}"		)
     UpperCAmelCase__							: int 							=						{
         "teacher_type": teacher.config.model_type,
         "copied_encoder_layers": e_layers_to_copy,
         "copied_decoder_layers": d_layers_to_copy,
     }
     student.save_pretrained(lowerCAmelCase		)
     # Save information about copying for easier reproducibility

     return student, e_layers_to_copy, d_layers_to_copy


if __name__ == "__main__":
    fire.Fire(create_student_by_copying_alternating_layers)



