




'''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


UpperCamelCase__					    =    logging.get_logger(__name__)







def 			_a   (		SCREAMING_SNAKE_CASE_							:       nn.ModuleList   ,   SCREAMING_SNAKE_CASE_							:       nn.ModuleList   ,   SCREAMING_SNAKE_CASE_							:       List[int]  ):
					__lowerCAmelCase            = nn.ModuleList([src_layers[i] for i in layers_to_copy]  )
					assert len(SCREAMING_SNAKE_CASE_  ) == len(SCREAMING_SNAKE_CASE_  ), F"""{len(SCREAMING_SNAKE_CASE_  )} != {len(SCREAMING_SNAKE_CASE_  )}"""
					dest_layers.load_state_dict(layers_to_copy.state_dict()  )


UpperCamelCase__					    =    {
    # 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))},
}
UpperCamelCase__					    =    {
    # 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   (		SCREAMING_SNAKE_CASE_							:       str   ,   SCREAMING_SNAKE_CASE_							:       Optional[Any]  ):
					try:
										__lowerCAmelCase            = 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(SCREAMING_SNAKE_CASE_  )  )







def 			_a   (		SCREAMING_SNAKE_CASE_							:       Optional[int]   ,   SCREAMING_SNAKE_CASE_							:       Union[str, Any]  ):
					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(SCREAMING_SNAKE_CASE_  )  )
					elif n_student == 1:
										return [n_teacher - 1]
					else:
										return LAYERS_TO_SUPERVISE[n_teacher][n_student]







def 			_a   (		SCREAMING_SNAKE_CASE_							:       Union[str, PreTrainedModel]   ,   SCREAMING_SNAKE_CASE_							:       Union[str, Path] = "student"   ,   SCREAMING_SNAKE_CASE_							:       Union[int, None] = None   ,   SCREAMING_SNAKE_CASE_							:       Union[int, None] = None   ,   SCREAMING_SNAKE_CASE_							:       List[Any]=False   ,   SCREAMING_SNAKE_CASE_							:       List[Any]=None   ,   SCREAMING_SNAKE_CASE_							:       Tuple=None   ,   **SCREAMING_SNAKE_CASE_							:       Union[str, Any]   ,   ):
					__lowerCAmelCase            = "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(SCREAMING_SNAKE_CASE_   ,   SCREAMING_SNAKE_CASE_  ):
										AutoTokenizer.from_pretrained(SCREAMING_SNAKE_CASE_  ).save_pretrained(SCREAMING_SNAKE_CASE_  )  # purely for convenience
										__lowerCAmelCase            = AutoModelForSeqaSeqLM.from_pretrained(SCREAMING_SNAKE_CASE_  ).eval()
					else:
										assert isinstance(SCREAMING_SNAKE_CASE_   ,   SCREAMING_SNAKE_CASE_  ), F"""teacher must be a model or string got type {type(SCREAMING_SNAKE_CASE_  )}"""
					__lowerCAmelCase            = teacher.config.to_diff_dict()

					try:
										__lowerCAmelCase     ,							__lowerCAmelCase            = teacher.config.encoder_layers, teacher.config.decoder_layers
										if e is None:
															__lowerCAmelCase            = teacher_e
										if d is None:
															__lowerCAmelCase            = teacher_d
										init_kwargs.update({"encoder_layers": e, "decoder_layers": d}  )
					except AttributeError:  # T5
										if hasattr(teacher.config   ,   "num_encoder_layers"  ):
															__lowerCAmelCase     ,							__lowerCAmelCase            = teacher.config.num_encoder_layers, teacher.config.num_decoder_layers
										else:
															__lowerCAmelCase     ,							__lowerCAmelCase            = teacher.config.num_layers, teacher.config.num_decoder_layers
										if e is None:
															__lowerCAmelCase            = teacher_e
										if d is None:
															__lowerCAmelCase            = 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(SCREAMING_SNAKE_CASE_  )

					# Copy weights
					__lowerCAmelCase            = teacher.config_class(**SCREAMING_SNAKE_CASE_  )
					__lowerCAmelCase            = AutoModelForSeqaSeqLM.from_config(SCREAMING_SNAKE_CASE_  )
					# Start by copying the full teacher state dict this will copy the first N teacher layers to the student.
					__lowerCAmelCase            = student.load_state_dict(teacher.state_dict()   ,   strict=SCREAMING_SNAKE_CASE_  )
					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
										__lowerCAmelCase     ,							__lowerCAmelCase            = list(range(SCREAMING_SNAKE_CASE_  )  ), list(range(SCREAMING_SNAKE_CASE_  )  )
										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(SCREAMING_SNAKE_CASE_  )
										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:
										__lowerCAmelCase            = pick_layers_to_copy(SCREAMING_SNAKE_CASE_   ,   SCREAMING_SNAKE_CASE_  )
					if d_layers_to_copy is None:
										__lowerCAmelCase            = pick_layers_to_copy(SCREAMING_SNAKE_CASE_   ,   SCREAMING_SNAKE_CASE_  )

					try:
										if hasattr(
										    SCREAMING_SNAKE_CASE_   ,   "prophetnet"  ):  # For ProphetNet, student.model.encoder.layers is called student.prophetnet.encoder.layers
															copy_layers(teacher.prophetnet.encoder.layers   ,   student.prophetnet.encoder.layers   ,   SCREAMING_SNAKE_CASE_  )
															copy_layers(teacher.prophetnet.decoder.layers   ,   student.prophetnet.decoder.layers   ,   SCREAMING_SNAKE_CASE_  )
										else:
															copy_layers(teacher.model.encoder.layers   ,   student.model.encoder.layers   ,   SCREAMING_SNAKE_CASE_  )
															copy_layers(teacher.model.decoder.layers   ,   student.model.decoder.layers   ,   SCREAMING_SNAKE_CASE_  )
					except AttributeError:  # For t5, student.model.encoder.layers is called student.encoder.block
										copy_layers(teacher.encoder.block   ,   student.encoder.block   ,   SCREAMING_SNAKE_CASE_  )
										copy_layers(teacher.decoder.block   ,   student.decoder.block   ,   SCREAMING_SNAKE_CASE_  )
					logger.info(
					    F"""Copied encoder layers {e_layers_to_copy} and decoder layers {d_layers_to_copy}. Saving them to {save_path}"""  )
					__lowerCAmelCase            = {
					    "teacher_type": teacher.config.model_type,
					    "copied_encoder_layers": e_layers_to_copy,
					    "copied_decoder_layers": d_layers_to_copy,
					}
					student.save_pretrained(SCREAMING_SNAKE_CASE_  )
					# 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)










from __future__ import annotations

from collections.abc import Iterator
from typing import Any
class     a__					:






						def __init__(     self	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = data
											__lowerCAmelCase            = None






class     a__					:






						def __init__(     self    ):




											"""simple docstring"""



											__lowerCAmelCase            = None
											__lowerCAmelCase            = None






						def __iter__(     self    ):




											"""simple docstring"""



											__lowerCAmelCase            = self.head
											while self.head:
																yield node.data
																__lowerCAmelCase            = node.next
																if node == self.head:
																					break






						def __len__(     self    ):




											"""simple docstring"""



											return sum(1 for _ in self    )






						def __repr__(     self    ):




											"""simple docstring"""



											return "->".join(str(_A    ) for item in iter(self    )    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											self.insert_nth(len(self    )	,    _A    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											self.insert_nth(0	,    _A    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A    ):




											"""simple docstring"""



											if index < 0 or index > len(self    ):
																raise IndexError("list index out of range."    )
											__lowerCAmelCase            = Node(_A    )
											if self.head is None:
																__lowerCAmelCase            = new_node  # first node points itself
																__lowerCAmelCase            = __lowerCAmelCase            = new_node
											elif index == 0:  # insert at head
																__lowerCAmelCase            = self.head
																__lowerCAmelCase            = __lowerCAmelCase            = new_node
											else:
																__lowerCAmelCase            = self.head
																for _ in range(index - 1    ):
																					__lowerCAmelCase            = temp.next
																__lowerCAmelCase            = temp.next
																__lowerCAmelCase            = new_node
																if index == len(self    ) - 1:  # insert at tail
																					__lowerCAmelCase            = new_node






						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return self.delete_nth(0    )






						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return self.delete_nth(len(self    ) - 1    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A = 0    ):




											"""simple docstring"""



											if not 0 <= index < len(self    ):
																raise IndexError("list index out of range."    )
											__lowerCAmelCase            = self.head
											if self.head == self.tail:  # just one node
																__lowerCAmelCase            = __lowerCAmelCase            = None
											elif index == 0:  # delete head node
																__lowerCAmelCase            = self.tail.next.next
																__lowerCAmelCase            = self.head.next
											else:
																__lowerCAmelCase            = self.head
																for _ in range(index - 1    ):
																					__lowerCAmelCase            = temp.next
																__lowerCAmelCase            = temp.next
																__lowerCAmelCase            = temp.next.next
																if index == len(self    ) - 1:  # delete at tail
																					__lowerCAmelCase            = temp
											return delete_node.data






						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return len(self    ) == 0







def 			_a   (		):
					__lowerCAmelCase            = CircularLinkedList()
					assert len(SCREAMING_SNAKE_CASE_  ) == 0
					assert circular_linked_list.is_empty() is True
					assert str(SCREAMING_SNAKE_CASE_  ) == ""

					try:
										circular_linked_list.delete_front()
										raise AssertionError  # This should not happen
					except IndexError:
										assert True  # This should happen

					try:
										circular_linked_list.delete_tail()
										raise AssertionError  # This should not happen
					except IndexError:
										assert True  # This should happen

					try:
										circular_linked_list.delete_nth(-1  )
										raise AssertionError
					except IndexError:
										assert True

					try:
										circular_linked_list.delete_nth(0  )
										raise AssertionError
					except IndexError:
										assert True

					assert circular_linked_list.is_empty() is True
					for i in range(5  ):
										assert len(SCREAMING_SNAKE_CASE_  ) == i
										circular_linked_list.insert_nth(SCREAMING_SNAKE_CASE_   ,   i + 1  )
					assert str(SCREAMING_SNAKE_CASE_  ) == "->".join(str(SCREAMING_SNAKE_CASE_  ) for i in range(1   ,   6  )  )

					circular_linked_list.insert_tail(6  )
					assert str(SCREAMING_SNAKE_CASE_  ) == "->".join(str(SCREAMING_SNAKE_CASE_  ) for i in range(1   ,   7  )  )
					circular_linked_list.insert_head(0  )
					assert str(SCREAMING_SNAKE_CASE_  ) == "->".join(str(SCREAMING_SNAKE_CASE_  ) for i in range(0   ,   7  )  )

					assert circular_linked_list.delete_front() == 0
					assert circular_linked_list.delete_tail() == 6
					assert str(SCREAMING_SNAKE_CASE_  ) == "->".join(str(SCREAMING_SNAKE_CASE_  ) for i in range(1   ,   6  )  )
					assert circular_linked_list.delete_nth(2  ) == 3

					circular_linked_list.insert_nth(2   ,   3  )
					assert str(SCREAMING_SNAKE_CASE_  ) == "->".join(str(SCREAMING_SNAKE_CASE_  ) for i in range(1   ,   6  )  )

					assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
					import doctest

					doctest.testmod()




