import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
    import torch

    from transformers.generation import DisjunctiveConstraint


@require_torch
class 	lowerCamelCase_     (   unittest.TestCase ):






    '''simple docstring'''






    def 			UpperCamelCase__   (	self)       ->	Union[str, Any]:
        # For consistency across different places the DisjunctiveConstraint is called,
        # dc.token_ids is a list of integers. It is also initialized only by integers.

        __UpperCamelCase     :str			  =		[[1, 2, 4], [1, 2, 3, 4]]
        __UpperCamelCase     :Dict			  =		DisjunctiveConstraint(__lowercase)
        self.assertTrue(isinstance(dc.token_ids , __lowercase))

        with self.assertRaises(__lowercase):
            DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]))

        with self.assertRaises(__lowercase):
            DisjunctiveConstraint([torch.LongTensor([1, 2, 4]), torch.LongTensor([1, 2, 3, 4, 5])])







    def 			UpperCamelCase__   (	self)       ->	List[Any]:
        # We can't have constraints that are complete subsets of another. This leads to a preverse
        # interpretation of "constraint fulfillment": does generating [1,2,3] fulfill the constraint?
        # It would mean that it generated [1,2] which fulfills it, but it's in the middle of potentially
        # fulfilling [1,2,3,4]. If we believe that [1,2,3] does fulfill the constraint, then the algorithm
        # will necessarily never reach [1,2,3,4], giving users a false sense of control (better to just not allow it).
        __UpperCamelCase     :Dict			  =		[[1, 2], [1, 2, 3, 4]]

        with self.assertRaises(__lowercase):
            DisjunctiveConstraint(__lowercase)  # fails here







    def 			UpperCamelCase__   (	self)       ->	List[str]:
        __UpperCamelCase     :Union[str, Any]			  =		[[1, 2, 3], [1, 2, 4]]

        __UpperCamelCase     :Any			  =		DisjunctiveConstraint(__lowercase)

        __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :Dict			  =		dc.update(1)
        __UpperCamelCase     :Union[str, Any]			  =		stepped is True and completed is False and reset is False
        self.assertTrue(__lowercase)
        self.assertTrue(not dc.completed)
        self.assertTrue(dc.current_seq == [1])

        __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :List[Any]			  =		dc.update(2)
        __UpperCamelCase     :Tuple			  =		stepped is True and completed is False and reset is False
        self.assertTrue(__lowercase)
        self.assertTrue(not dc.completed)
        self.assertTrue(dc.current_seq == [1, 2])

        __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :Dict			  =		dc.update(3)
        __UpperCamelCase     :List[Any]			  =		stepped is True and completed is True and reset is False
        self.assertTrue(__lowercase)
        self.assertTrue(dc.completed)  # Completed!
        self.assertTrue(dc.current_seq == [1, 2, 3])







    def 			UpperCamelCase__   (	self)       ->	str:
        __UpperCamelCase     :Dict			  =		[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

        __UpperCamelCase     :List[Any]			  =		DisjunctiveConstraint(__lowercase)

        __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :int			  =		dc.update(1)
        self.assertTrue(not dc.completed)
        self.assertTrue(dc.current_seq == [1])

        __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :List[str]			  =		dc.update(2)
        self.assertTrue(not dc.completed)
        self.assertTrue(dc.current_seq == [1, 2])

        __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :Union[str, Any]			  =		dc.update(4)
        self.assertTrue(not dc.completed)
        self.assertTrue(dc.current_seq == [1, 2, 4])

        __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :Union[str, Any]			  =		dc.update(5)
        self.assertTrue(dc.completed)  # Completed!
        self.assertTrue(dc.current_seq == [1, 2, 4, 5])

        dc.reset()

        __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :Any			  =		dc.update(1)
        self.assertTrue(not dc.completed)
        self.assertTrue(dc.remaining() == 3)
        self.assertTrue(dc.current_seq == [1])

        __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :Tuple			  =		dc.update(2)
        self.assertTrue(not dc.completed)
        self.assertTrue(dc.remaining() == 2)
        self.assertTrue(dc.current_seq == [1, 2])

        __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :str			  =		dc.update(5)
        self.assertTrue(dc.completed)  # Completed!
        self.assertTrue(dc.remaining() == 0)
        self.assertTrue(dc.current_seq == [1, 2, 5])






import argparse
import json

from tqdm import tqdm



def lowerCamelCase  (   ):
    '''simple docstring'''







    __UpperCamelCase     :Tuple			  =		argparse.ArgumentParser()

    # Required parameters
    parser.add_argument(
        '''--src_path'''  ,			type=SCREAMING_SNAKE_CASE  ,			default='''biencoder-nq-dev.json'''  ,			help='''Path to raw DPR training data'''  ,			)
    parser.add_argument(
        '''--evaluation_set'''  ,			type=SCREAMING_SNAKE_CASE  ,			help='''where to store parsed evaluation_set file'''  ,			)
    parser.add_argument(
        '''--gold_data_path'''  ,			type=SCREAMING_SNAKE_CASE  ,			help='''where to store parsed gold_data_path file'''  ,			)
    __UpperCamelCase     :str			  =		parser.parse_args()

    with open(args.src_path  ,			'''r'''	) as src_file, open(args.evaluation_set  ,			'''w'''	) as eval_file, open(
        args.gold_data_path  ,			'''w'''	) as gold_file:
        __UpperCamelCase     :List[str]			  =		json.load(SCREAMING_SNAKE_CASE	)
        for dpr_record in tqdm(SCREAMING_SNAKE_CASE	):
            __UpperCamelCase     :List[str]			  =		dpr_record['''question''']
            __UpperCamelCase     :Tuple			  =		[context['''title'''] for context in dpr_record['''positive_ctxs''']]
            eval_file.write(question + '''\n'''	)
            gold_file.write('''\t'''.join(SCREAMING_SNAKE_CASE	) + '''\n'''	)


if __name__ == "__main__":
    main()





