



import torch

from transformers import AutoTokenizer

class 						lowerCamelCase_     (			__a    ):






						'''simple docstring'''







						def __init__(						self   :      List[str]						,						__lowerCamelCase   :      Optional[Any]			)   ->					Union[str, Any]:
									A				:       int														=    AutoTokenizer.from_pretrained(__lowerCamelCase			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      Tuple						,						__lowerCamelCase   :      Any			)   ->					Tuple:

									if isinstance(__lowerCamelCase						,						__lowerCamelCase			) and all(isinstance(_x						,						__lowerCamelCase			) for _x in x			):
												A				:       Tuple														=    None
												for l in x:
															A				:       str														=    self.tokenizer(
															    __lowerCamelCase						,						padding="max_length"						,						max_length=3_84						,						truncation=__lowerCamelCase						,						return_tensors="pt"						,						)
															A				:       List[str]														=    torch.tensor([len(__lowerCamelCase			)]			)
															if d is not None:
																		for k in d.keys():
																					A				:       List[str]														=    torch.cat((d[k], t[k])						,						0			)
															else:
																		A				:       Optional[Any]														=    t

												A				:       Optional[Any]														=    torch.tensor(self.tokenizer.convert_tokens_to_ids("[E]"			)			)
												A				:       Any														=    torch.tensor(self.tokenizer.convert_tokens_to_ids("[/E]"			)			)

									elif isinstance(__lowerCamelCase						,						__lowerCamelCase			) and all(isinstance(_x						,						__lowerCamelCase			) for _x in x			):
												A				:       Any														=    self.tokenizer(
												    __lowerCamelCase						,						padding="max_length"						,						max_length=3_84						,						truncation=__lowerCamelCase						,						return_tensors="pt"						,						)

									else:
												raise Exception(
												    "Type of parameter x was not recognized! Only `list of strings` for query or `list of lists of"
												    " strings` for supports are supported."			)

									return d







						def       SCREAMING_SNAKE_CASE__		(						self   :      Tuple						,						__lowerCamelCase   :      Dict						,						__lowerCamelCase   :      Tuple						,						__lowerCamelCase   :      Optional[Any]						,						__lowerCamelCase   :      Union[str, Any]						,						__lowerCamelCase   :      List[str]=0.70			)   ->					int:
									A				:       Dict														=    []
									for idx in range(len(W_query["input_ids"]			)			):
												A				:       Dict														=    range(p_start.shape[1]			)

												A				:       str														=    []
												for start_id in start_indexes:
															for end_id in end_indexes:
																		if start_id < end_id:
																					output.append(
																					    (
																					        start_id,
																					        end_id,
																					        p_start[idx][start_id].item(),
																					        p_end[idx][end_id].item(),
																					    )			)

												output.sort(key=lambda __lowerCamelCase			: (tup[2] * tup[3])						,						reverse=__lowerCamelCase			)
												A				:       List[Any]														=    []
												for k in range(len(__lowerCamelCase			)			):
															if output[k][2] * output[k][3] >= thresh:
																		A							,			A				:       Dict														=    output[k][0], output[k][1]
																		A				:       Any														=    self.tokenizer.decode(W_query["input_ids"][idx][c_start_pos:c_end_pos]			)
																		temp.append((decoded, output[k][2] * output[k][3])			)

												final_outputs.append(__lowerCamelCase			)

									return final_outputs





'''simple docstring'''







from __future__ import annotations





def 		snake_case_				(_a      :				list[list[int]]       ,  _a      :				list[list[int]]	):
    assert len(_a	) == len(_a	)

    UpperCAmelCase     			=						len(_a	)
    UpperCAmelCase     			=						list(range(_a	)	)
    UpperCAmelCase     			=						[-1] * n  # who the donor has donated to
    UpperCAmelCase     			=						[-1] * n  # who the recipient has received from
    UpperCAmelCase     			=						[0] * n

    while unmatched_donors:
        UpperCAmelCase     			=						unmatched_donors[0]
        UpperCAmelCase     			=						donor_pref[donor]
        UpperCAmelCase     			=						donor_preference[num_donations[donor]]
        num_donations[donor] += 1
        UpperCAmelCase     			=						recipient_pref[recipient]
        UpperCAmelCase     			=						rec_record[recipient]

        if prev_donor != -1:
            if rec_preference.index(_a	) > rec_preference.index(_a	):
                UpperCAmelCase     			=						donor
                UpperCAmelCase     			=						recipient
                unmatched_donors.append(_a	)
                unmatched_donors.remove(_a	)
        else:
            UpperCAmelCase     			=						donor
            UpperCAmelCase     			=						recipient
            unmatched_donors.remove(_a	)
    return donor_record




