





def    __UpperCamelCase      (    a,     a,     a) ->List[str]:
					if len(lowerCamelCase_) != len(lowerCamelCase_):
										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.
					lowerCamelCase__       =       [p / w for p, w in zip(lowerCamelCase_,     lowerCamelCase_)]

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

					# declaring useful variables
					lowerCamelCase__       =       len(lowerCamelCase_)
					lowerCamelCase__       =       0
					lowerCamelCase__       =       0
					lowerCamelCase__       =       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
										lowerCamelCase__       =       sorted_profit_by_weight[length - i - 1]
										lowerCamelCase__       =       profit_by_weight.index(lowerCamelCase_)
										lowerCamelCase__       =       -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."
						)

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

						# Function Call
						calc_profit(profit, weight, max_weight)








from __future__ import annotations

class SCREAMING_SNAKE_CASE_ :





					"""simple docstring"""


					def __init__( self	,  _lowerCAmelCase	,  _lowerCAmelCase	):
										lowerCamelCase__    ,		lowerCamelCase__       =       text, pattern
										lowerCamelCase__    ,		lowerCamelCase__       =       len(_lowerCAmelCase	), len(_lowerCAmelCase	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):

										for i in range(self.patLen - 1	,  -1	,  -1	):
															if char == self.pattern[i]:
																				return i
										return -1





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):

										for i in range(self.patLen - 1	,  -1	,  -1	):
															if self.pattern[i] != self.text[current_pos + i]:
																				return current_pos + i
										return -1






					def 					__magic_name__ ( self	):
										# searches pattern in text and returns index positions
										lowerCamelCase__       =       []
										for i in range(self.textLen - self.patLen + 1	):
															lowerCamelCase__       =       self.mismatch_in_text(_lowerCAmelCase	)
															if mismatch_index == -1:
																				positions.append(_lowerCAmelCase	)
															else:
																				lowerCamelCase__       =       self.match_in_pattern(self.text[mismatch_index]	)
																				lowerCamelCase__       =       (
																				    mismatch_index - match_index
																				)  # shifting index lgtm [py/multiple-definition]
										return positions

A_												=     "ABAABA"
A_												=     "AB"
A_												=     BoyerMooreSearch(text, pattern)
A_												=     bms.bad_character_heuristic()

if len(positions) == 0:
						print("No match found")
else:
						print("Pattern found in following positions: ")
						print(positions)

