





import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin





class       lowerCAmelCase__(			UpperCamelCase__	,  unittest.TestCase     ):






       '''simple docstring'''


       __snake_case			      =     ProphetNetTokenizer
       __snake_case			      =     False




       def      UpperCamelCase_      (   self				)      ->  Any:
            super().setUp()

            _SCREAMING_SNAKE_CASE							:						Optional[int]         =				[
                "[UNK]",
                "[CLS]",
                "[SEP]",
                "[PAD]",
                "[MASK]",
                "want",
                "##want",
                "##ed",
                "wa",
                "un",
                "runn",
                "##ing",
                ",",
                "low",
                "lowest",
            ]
            _SCREAMING_SNAKE_CASE							:						int         =				os.path.join(self.tmpdirname     ,    VOCAB_FILES_NAMES["vocab_file"]				)
            with open(self.vocab_file     ,    "w"     ,    encoding="utf-8"				) as vocab_writer:
                 vocab_writer.write("".join([x + "\n" for x in vocab_tokens]				)				)




       def      UpperCamelCase_      (   self     ,    __lowerCamelCase				)      ->  Union[str, Any]:
            _SCREAMING_SNAKE_CASE							:						List[Any]         =				"UNwant\u00E9d,running"
            _SCREAMING_SNAKE_CASE							:						Any         =				"unwanted, running"
            return input_text, output_text




       def      UpperCamelCase_      (   self				)      ->  List[Any]:
            _SCREAMING_SNAKE_CASE							:						Optional[Any]         =				self.tokenizer_class(self.vocab_file				)

            _SCREAMING_SNAKE_CASE							:						Union[str, Any]         =				tokenizer.tokenize("UNwant\u00E9d,running"				)
            self.assertListEqual(__lowerCamelCase     ,    ["un", "##want", "##ed", ",", "runn", "##ing"]				)
            self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase				)     ,    [9, 6, 7, 1_2, 1_0, 1_1]				)




       def      UpperCamelCase_      (   self				)      ->  Dict:
            _SCREAMING_SNAKE_CASE							:						str         =				BasicTokenizer()

            self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"				)     ,    ["ah", "\u535A", "\u63A8", "zz"]				)




       def      UpperCamelCase_      (   self				)      ->  Any:
            _SCREAMING_SNAKE_CASE							:						Dict         =				BasicTokenizer(do_lower_case=__lowerCamelCase				)

            self.assertListEqual(
                tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "				)     ,    ["hello", "!", "how", "are", "you", "?"]				)
            self.assertListEqual(tokenizer.tokenize("H\u00E9llo"				)     ,    ["hello"]				)




       def      UpperCamelCase_      (   self				)      ->  Dict:
            _SCREAMING_SNAKE_CASE							:						Any         =				BasicTokenizer(do_lower_case=__lowerCamelCase     ,    strip_accents=__lowerCamelCase				)

            self.assertListEqual(
                tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "				)     ,    ["hällo", "!", "how", "are", "you", "?"]				)
            self.assertListEqual(tokenizer.tokenize("H\u00E9llo"				)     ,    ["h\u00E9llo"]				)




       def      UpperCamelCase_      (   self				)      ->  str:
            _SCREAMING_SNAKE_CASE							:						Dict         =				BasicTokenizer(do_lower_case=__lowerCamelCase     ,    strip_accents=__lowerCamelCase				)

            self.assertListEqual(
                tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "				)     ,    ["hallo", "!", "how", "are", "you", "?"]				)
            self.assertListEqual(tokenizer.tokenize("H\u00E9llo"				)     ,    ["hello"]				)




       def      UpperCamelCase_      (   self				)      ->  int:
            _SCREAMING_SNAKE_CASE							:						Any         =				BasicTokenizer(do_lower_case=__lowerCamelCase				)

            self.assertListEqual(
                tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "				)     ,    ["hallo", "!", "how", "are", "you", "?"]				)
            self.assertListEqual(tokenizer.tokenize("H\u00E9llo"				)     ,    ["hello"]				)




       def      UpperCamelCase_      (   self				)      ->  List[str]:
            _SCREAMING_SNAKE_CASE							:						List[str]         =				BasicTokenizer(do_lower_case=__lowerCamelCase				)

            self.assertListEqual(
                tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "				)     ,    ["HeLLo", "!", "how", "Are", "yoU", "?"]				)




       def      UpperCamelCase_      (   self				)      ->  List[str]:
            _SCREAMING_SNAKE_CASE							:						Optional[Any]         =				BasicTokenizer(do_lower_case=__lowerCamelCase     ,    strip_accents=__lowerCamelCase				)

            self.assertListEqual(
                tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "				)     ,    ["HäLLo", "!", "how", "Are", "yoU", "?"]				)




       def      UpperCamelCase_      (   self				)      ->  Union[str, Any]:
            _SCREAMING_SNAKE_CASE							:						Any         =				BasicTokenizer(do_lower_case=__lowerCamelCase     ,    strip_accents=__lowerCamelCase				)

            self.assertListEqual(
                tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "				)     ,    ["HaLLo", "!", "how", "Are", "yoU", "?"]				)




       def      UpperCamelCase_      (   self				)      ->  str:
            _SCREAMING_SNAKE_CASE							:						Any         =				BasicTokenizer(do_lower_case=__lowerCamelCase     ,    never_split=["[UNK]"]				)

            self.assertListEqual(
                tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"				)     ,    ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]				)




       def      UpperCamelCase_      (   self				)      ->  List[str]:
            _SCREAMING_SNAKE_CASE							:						Union[str, Any]         =				["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

            _SCREAMING_SNAKE_CASE							:						Union[str, Any]         =				{}
            for i, token in enumerate(__lowerCamelCase				):
                 _SCREAMING_SNAKE_CASE							:						Any         =				i
            _SCREAMING_SNAKE_CASE							:						Tuple         =				WordpieceTokenizer(vocab=__lowerCamelCase     ,    unk_token="[UNK]"				)

            self.assertListEqual(tokenizer.tokenize(""				)     ,    []				)

            self.assertListEqual(tokenizer.tokenize("unwanted running"				)     ,    ["un", "##want", "##ed", "runn", "##ing"]				)

            self.assertListEqual(tokenizer.tokenize("unwantedX running"				)     ,    ["[UNK]", "runn", "##ing"]				)




       @require_torch
       def      UpperCamelCase_      (   self				)      ->  int:
            _SCREAMING_SNAKE_CASE							:						Dict         =				self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"				)

            _SCREAMING_SNAKE_CASE							:						Optional[int]         =				["A long paragraph for summarization.", "Another paragraph for summarization."]
            _SCREAMING_SNAKE_CASE							:						Union[str, Any]         =				[1_0_3_7, 2_1_4_6, 2_0_4_2_3, 2_0_0_5, 7_6_8_0, 7_8_4_9, 3_9_8_9, 1_0_1_2, 1_0_2]
            _SCREAMING_SNAKE_CASE							:						Dict         =				tokenizer(__lowerCamelCase     ,    padding=__lowerCamelCase     ,    return_tensors="pt"				)
            self.assertIsInstance(__lowerCamelCase     ,    __lowerCamelCase				)
            _SCREAMING_SNAKE_CASE							:						List[Any]         =				list(batch.input_ids.numpy()[0]				)
            self.assertListEqual(__lowerCamelCase     ,    __lowerCamelCase				)

            self.assertEqual((2, 9)     ,    batch.input_ids.shape				)
            self.assertEqual((2, 9)     ,    batch.attention_mask.shape				)




       def      UpperCamelCase_      (   self				)      ->  List[str]:
            self.assertTrue(_is_whitespace(" "				)				)
            self.assertTrue(_is_whitespace("\t"				)				)
            self.assertTrue(_is_whitespace("\r"				)				)
            self.assertTrue(_is_whitespace("\n"				)				)
            self.assertTrue(_is_whitespace("\u00A0"				)				)

            self.assertFalse(_is_whitespace("A"				)				)
            self.assertFalse(_is_whitespace("-"				)				)




       def      UpperCamelCase_      (   self				)      ->  Dict:
            self.assertTrue(_is_control("\u0005"				)				)

            self.assertFalse(_is_control("A"				)				)
            self.assertFalse(_is_control(" "				)				)
            self.assertFalse(_is_control("\t"				)				)
            self.assertFalse(_is_control("\r"				)				)




       def      UpperCamelCase_      (   self				)      ->  Optional[int]:
            self.assertTrue(_is_punctuation("-"				)				)
            self.assertTrue(_is_punctuation("$"				)				)
            self.assertTrue(_is_punctuation("`"				)				)
            self.assertTrue(_is_punctuation("."				)				)

            self.assertFalse(_is_punctuation("A"				)				)
            self.assertFalse(_is_punctuation(" "				)				)







       @slow
       def      UpperCamelCase_      (   self				)      ->  Any:
            _SCREAMING_SNAKE_CASE							:						int         =				self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"				)

            _SCREAMING_SNAKE_CASE							:						str         =				tokenizer.encode("sequence builders"     ,    add_special_tokens=__lowerCamelCase				)
            _SCREAMING_SNAKE_CASE							:						List[Any]         =				tokenizer.encode("multi-sequence build"     ,    add_special_tokens=__lowerCamelCase				)

            _SCREAMING_SNAKE_CASE							:						Any         =				tokenizer.build_inputs_with_special_tokens(__lowerCamelCase				)
            _SCREAMING_SNAKE_CASE							:						str         =				tokenizer.build_inputs_with_special_tokens(__lowerCamelCase     ,    __lowerCamelCase				)

            assert encoded_sentence == text + [1_0_2]
            assert encoded_pair == text + [1_0_2] + text_a + [1_0_2]

'''simple docstring'''
def      UpperCamelCase_				(      A__  ,      A__  ,      A__						):
	if len(A__						) != len(A__						):
		raise ValueError("""The length of profit and weight must be same."""						)
	if max_weight <= 0:
		raise ValueError("""max_weight must greater than zero."""						)
	if any(p < 0 for p in profit						):
		raise ValueError("""Profit can not be negative."""						)
	if any(w < 0 for w in weight						):
		raise ValueError("""Weight can not be negative."""						)

	# List created to store profit gained for the 1kg in case of each weight
	# respectively.  Calculate and append profit/weight for each element.
	a_      				=						[p / w for p, w in zip(A__  ,      A__						)]

	# Creating a copy of the list and sorting profit/weight in ascending order
	a_      				=						sorted(A__						)

	# declaring useful variables
	a_      				=						len(A__						)
	a_      				=						0
	a_      				=						0
	a_      				=						0

	# loop till the total weight do not reach max limit e.g. 15 kg and till i<length
	while limit <= max_weight and i < length:
		# flag value for encountered greatest element in sorted_profit_by_weight
		a_      				=						sorted_profit_by_weight[length - i - 1]
		a_      				=						profit_by_weight.index(A__						)
		a_      				=						-1

		# check if the weight encountered is less than the total weight
		# encountered before.
		if max_weight - limit >= weight[index]:
			limit += weight[index]
			# Adding profit gained for the given weight 1 ===
			# weight[index]/weight[index]
			gain += 1 * profit[index]
		else:
			# Since the weight encountered is greater than limit, therefore take the
			# required number of remaining kgs and calculate profit for it.
			# weight remaining / weight[index]
			gain += (max_weight - limit) / weight[index] * profit[index]
			break
		i += 1
	return gain


if __name__ == "__main__":
		print(
		    'Input profits, weights, and then max_weight (all positive ints) separated by '
		    'spaces.'
		)

		lowercase__											=[int(x) for x in input('Input profits separated by spaces: ').split()]
		lowercase__											=[int(x) for x in input('Input weights separated by spaces: ').split()]
		lowercase__											=int(input('Max weight allowed: '))

		# Function Call
		calc_profit(profit, weight, max_weight)
