



'''simple docstring'''





import io
import json
import unittest

from parameterized import parameterized

from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu


SCREAMING_SNAKE_CASE__          =  get_tests_dir() + "/test_data/fsmt/fsmt_val_data.json"
with io.open(filename, "r", encoding="utf-8") as f:
 SCREAMING_SNAKE_CASE__          =  json.load(f)


@require_torch
class 					snake_case			(unittest.TestCase ):



       def 				_a   (					self  ,UpperCAmelCase_   )	->				str:
           return FSMTTokenizer.from_pretrained(UpperCAmelCase_   )



       def 				_a   (					self  ,UpperCAmelCase_   )	->				Optional[int]:
           lowercase__									=    FSMTForConditionalGeneration.from_pretrained(UpperCAmelCase_   ).to(UpperCAmelCase_   )
           if torch_device == "cuda":
               model.half()
           return model







       @parameterized.expand(
           [
               ["en-ru", 26.0],
               ["ru-en", 22.0],
               ["en-de", 22.0],
               ["de-en", 29.0],
           ]   )
       @slow
       def 				_a   (					self  ,UpperCAmelCase_  ,UpperCAmelCase_   )	->				Optional[int]:
           # note: this test is not testing the best performance since it only evals a small batch
           # but it should be enough to detect a regression in the output quality
           lowercase__									=    F'''facebook/wmt19-{pair}'''
           lowercase__									=    self.get_tokenizer(UpperCAmelCase_   )
           lowercase__									=    self.get_model(UpperCAmelCase_   )

           lowercase__									=    bleu_data[pair]["src"]
           lowercase__									=    bleu_data[pair]["tgt"]

           lowercase__									=    tokenizer(UpperCAmelCase_  ,return_tensors="pt"  ,truncation=UpperCAmelCase_  ,padding="longest"   ).to(UpperCAmelCase_   )
           lowercase__									=    model.generate(
               input_ids=batch.input_ids  ,num_beams=8  ,)
           lowercase__									=    tokenizer.batch_decode(
               UpperCAmelCase_  ,skip_special_tokens=UpperCAmelCase_  ,clean_up_tokenization_spaces=UpperCAmelCase_   )
           lowercase__									=    calculate_bleu(UpperCAmelCase_  ,UpperCAmelCase_   )
           print(UpperCAmelCase_   )
           self.assertGreaterEqual(scores["bleu"]  ,UpperCAmelCase_   )









'''simple docstring'''





from __future__ import annotations

import math




def 							lowerCamelCase	(					_snake_case	:    float  ,_snake_case	:    int							):





    '''simple docstring'''


    lowercase__									=    u
    for i in range(1  ,_snake_case							):
        lowercase__									=    temp * (u - i)
    return temp




def 							lowerCamelCase	(					):





    '''simple docstring'''


    lowercase__									=    int(input("enter the numbers of values: "							)							)
    lowercase__									=    []
    for _ in range(_snake_case							):
        y.append([]							)
    for i in range(_snake_case							):
        for j in range(_snake_case							):
            y[i].append(_snake_case							)
            lowercase__									=    0

    print("enter the values of parameters in a list: "							)
    lowercase__									=    list(map(_snake_case  ,input().split()							)							)

    print("enter the values of corresponding parameters: "							)
    for i in range(_snake_case							):
        lowercase__									=    float(input()							)

    lowercase__									=    int(input("enter the value to interpolate: "							)							)
    lowercase__									=    (value - x[0]) / (x[1] - x[0])

    # for calculating forward difference table

    for i in range(1  ,_snake_case							):
        for j in range(n - i							):
            lowercase__									=    y[j + 1][i - 1] - y[j][i - 1]

    lowercase__									=    y[0][0]
    for i in range(1  ,_snake_case							):
        summ += (ucal(_snake_case  ,_snake_case							) * y[0][i]) / math.factorial(_snake_case							)

    print(f'''the value at {value} is {summ}'''							)


if __name__ == "__main__":
 main()




