






import os
from pathlib import Path
from typing import Dict, List

import fire
import torch

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


__snake_case							 =  get_logger(__name__)
def   _A       (    SCREAMING_SNAKE_CASE__  :     str					,  SCREAMING_SNAKE_CASE__  :     str	):





    if text.startswith(_lowerCamelCase	):
        return text[len(_lowerCamelCase	) :]
    return text  # or whatever
def   _A       (    SCREAMING_SNAKE_CASE__  :     Any	):
    return {remove_prefix(_lowerCamelCase					,  '''model.'''	): v for k, v in sd.items()}
def   _A       (    SCREAMING_SNAKE_CASE__  :     List[Dict[str, torch.Tensor]]	):
    UpperCamelCase	:int     							=       {}
    for k in state_dicts[0].keys():
        UpperCamelCase	:List[Any]     							=       [sd[k] for sd in state_dicts]
        UpperCamelCase	:str     							=       sum(_lowerCamelCase	) / len(_lowerCamelCase	)
        assert isinstance(_lowerCamelCase					,  torch.Tensor	)
        UpperCamelCase	:Union[str, Any]     							=       new_t
    return new_sd
def   _A       (    SCREAMING_SNAKE_CASE__  :     str					,  SCREAMING_SNAKE_CASE__  :     str					,  SCREAMING_SNAKE_CASE__  :     str	):
    UpperCamelCase	:Optional[Any]     							=       AutoModelForSeqaSeqLM.from_pretrained(_lowerCamelCase	)
    if os.path.isfile(_lowerCamelCase	):
        UpperCamelCase	:List[Any]     							=       [pl_ckpt_path]
    else:
        assert os.path.isdir(_lowerCamelCase	)
        UpperCamelCase	:Union[str, Any]     							=       list(Path(_lowerCamelCase	).glob('''*.ckpt'''	)	)
        assert ckpt_files, F'''could not find any ckpt files inside the {pl_ckpt_path} directory'''

    if len(_lowerCamelCase	) > 1:
        logger.info(F'''averaging the weights of {ckpt_files}'''	)

    UpperCamelCase	:Union[str, Any]     							=       [sanitize(torch.load(_lowerCamelCase					,  map_location='''cpu'''	)['''state_dict''']	) for x in ckpt_files]
    UpperCamelCase	:int     							=       average_state_dicts(_lowerCamelCase	)

    UpperCamelCase							,       UpperCamelCase	:Any     							=       hf_model.load_state_dict(_lowerCamelCase					,  strict=_lowerCamelCase	)
    assert not missing, F'''missing keys: {missing}'''
    hf_model.save_pretrained(_lowerCamelCase	)
    try:
        UpperCamelCase	:str     							=       AutoTokenizer.from_pretrained(_lowerCamelCase	)
        tok.save_pretrained(_lowerCamelCase	)
    except Exception:
        pass
        # dont copy tokenizer if cant


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













def   _A       (    SCREAMING_SNAKE_CASE__  :     list[list[int]]	):
    if len(SCREAMING_SNAKE_CASE__	) == 0 or not all(len(SCREAMING_SNAKE_CASE__	) == 2 for pair in coordinates	):
        raise ValueError('''The program cannot work out a fitting polynomial.'''	)

    if len({tuple(SCREAMING_SNAKE_CASE__	) for pair in coordinates}	) != len(SCREAMING_SNAKE_CASE__	):
        raise ValueError('''The program cannot work out a fitting polynomial.'''	)

    UpperCamelCase	:str     							=       {x for x, _ in coordinates}
    if len(SCREAMING_SNAKE_CASE__	) == 1:
        return F'''x={coordinates[0][0]}'''

    if len(SCREAMING_SNAKE_CASE__	) != len(SCREAMING_SNAKE_CASE__	):
        raise ValueError('''The program cannot work out a fitting polynomial.'''	)

    UpperCamelCase	:List[Any]     							=       len(SCREAMING_SNAKE_CASE__	)

    UpperCamelCase	:Optional[int]     							=       0
    UpperCamelCase	:list[list[float]]     							=       []
    # put the x and x to the power values in a matrix
    while count_of_line < x:
        UpperCamelCase	:Tuple     							=       0
        UpperCamelCase	:Optional[int]     							=       coordinates[count_of_line][0]
        UpperCamelCase	:list[float]     							=       []
        while count_in_line < x:
            count_line.append(a ** (x - (count_in_line + 1))	)
            count_in_line += 1
        matrix.append(SCREAMING_SNAKE_CASE__	)
        count_of_line += 1

    UpperCamelCase	:Optional[int]     							=       0
    # put the y values into a vector
    UpperCamelCase	:list[float]     							=       []
    while count_of_line < x:
        vector.append(coordinates[count_of_line][1]	)
        count_of_line += 1

    UpperCamelCase	:str     							=       0

    while count < x:
        UpperCamelCase	:Optional[Any]     							=       0
        while zahlen < x:
            if count == zahlen:
                zahlen += 1
            if zahlen == x:
                break
            UpperCamelCase	:Union[str, Any]     							=       matrix[zahlen][count] / matrix[count][count]
            for counting_columns, item in enumerate(matrix[count]	):
                # manipulating all the values in the matrix
                matrix[zahlen][counting_columns] -= item * bruch
            # manipulating the values in the vector
            vector[zahlen] -= vector[count] * bruch
            zahlen += 1
        count += 1

    UpperCamelCase	:Optional[int]     							=       0
    # make solutions
    UpperCamelCase	:list[str]     							=       []
    while count < x:
        solution.append(str(vector[count] / matrix[count][count]	)	)
        count += 1

    UpperCamelCase	:Union[str, Any]     							=       0
    UpperCamelCase	:Any     							=       '''f(x)='''

    while count < x:
        UpperCamelCase	:list[str]     							=       solution[count].split('''E'''	)
        if len(SCREAMING_SNAKE_CASE__	) > 1:
            UpperCamelCase	:List[Any]     							=       F'''{remove_e[0]}*10^{remove_e[1]}'''
        solved += F'''x^{x - (count + 1)}*{solution[count]}'''
        if count + 1 != x:
            solved += "+"
        count += 1

    return solved


if __name__ == "__main__":
 print(points_to_polynomial([]))
 print(points_to_polynomial([[]]))
 print(points_to_polynomial([[1, 0], [2, 0], [3, 0]]))
 print(points_to_polynomial([[1, 1], [2, 1], [3, 1]]))
 print(points_to_polynomial([[1, 3], [2, 3], [3, 3]]))
 print(points_to_polynomial([[1, 1], [2, 2], [3, 3]]))
 print(points_to_polynomial([[1, 1], [2, 4], [3, 9]]))
 print(points_to_polynomial([[1, 3], [2, 6], [3, 11]]))
 print(points_to_polynomial([[1, -3], [2, -6], [3, -11]]))
 print(points_to_polynomial([[1, 5], [2, 2], [3, 9]]))





