print("if all are in loss just for 1 exs 1.01 to 1.99")
import random

def weighted_choice(choices, probabilities):
    return random.choices(choices, weights=probabilities, k=1)[0]

# For the multiplier (1.01 to 2)
multiplier_choices = [i / 100 for i in range(101, 201)]  # 1.01 to 2
multiplier_probabilities = [1 if value <= 1.05 else 0.1 for value in multiplier_choices]

# For the number (20 to 100)
number_choices = list(range(20, 101))  # 20 to 100
number_probabilities = [1 if number <= 30 else 0.1 for number in number_choices]

# Choosing the multiplier and number with weighted probabilities
chosen_multiplier = weighted_choice(multiplier_choices, multiplier_probabilities)
chosen_number = weighted_choice(number_choices, number_probabilities)

print(f"Chosen multiplier: {chosen_multiplier}")
print(f"Chosen number: {chosen_number}")
print("1.For between, 1.01 to 4!")
import random

def weighted_choice(choices, probabilities):
    return random.choices(choices, weights=probabilities, k=1)[0]

# For the multiplier (1.01 to 2)
multiplier_choices = [i / 100 for i in range(101, 201)]  # 1.01 to 2
multiplier_probabilities = [1 if value <= 1.05 else 0.1 for value in multiplier_choices]

# For the number (20 to 100)
number_choices = list(range(20, 101))  # 20 to 100
number_probabilities = [1 if number <= 30 else 0.1 for number in number_choices]

# Choosing the multiplier and number with weighted probabilities
chosen_multiplier = weighted_choice(multiplier_choices, multiplier_probabilities)
chosen_number = weighted_choice(number_choices, number_probabilities)

print(f"Chosen multiplier: {chosen_multiplier}")
print(f"Chosen number: {chosen_number}")
print("2.For between,1.01 to 13!")
import random

# Define the range and weights for multipliers
multipliers = [i/100 for i in range(101, 1301)]  # Generates numbers from 1.01 to 13.00
multiplier_weights = [1 if i <= 500 else 0.1 for i in range(101, 1301)]  # Lower probability for values over 5

# Normalize the weights
total_weight_multipliers = sum(multiplier_weights)
normalized_multiplier_weights = [w/total_weight_multipliers for w in multiplier_weights]

# Choose a random multiplier
chosen_multiplier = random.choices(multipliers, weights=normalized_multiplier_weights, k=1)[0]

# Define the range and weights for numbers
numbers = list(range(20, 101))
number_weights = [1 if i <= 30 else 0.1 for i in numbers]  # Lower probability for values over 30

# Normalize the weights
total_weight_numbers = sum(number_weights)
normalized_number_weights = [w/total_weight_numbers for w in number_weights]

# Choose a random number
chosen_number = random.choices(numbers, weights=normalized_number_weights, k=1)[0]

# Output the chosen values
print(f"Chosen Multiplier: {chosen_multiplier}")
print(f"Chosen Number: {chosen_number}")
print("3.For between,1.01 to 20!")
import random

# Define the range and weights for multipliers
multipliers = [i/100 for i in range(101, 2001)]  # Generates numbers from 1.01 to 20.00
multiplier_weights = [1 if i <= 500 else 0.1 for i in range(101, 2001)]  # Lower probability for values over 5

# Normalize the weights
total_weight_multipliers = sum(multiplier_weights)
normalized_multiplier_weights = [w/total_weight_multipliers for w in multiplier_weights]

# Choose a random multiplier
chosen_multiplier = random.choices(multipliers, weights=normalized_multiplier_weights, k=1)[0]

# Define the range and weights for numbers
numbers = list(range(20, 101))
number_weights = [1 if i <= 30 else 0.1 for i in numbers]  # Lower probability for values over 30

# Normalize the weights
total_weight_numbers = sum(number_weights)
normalized_number_weights = [w/total_weight_numbers for w in number_weights]

# Choose a random number
chosen_number = random.choices(numbers, weights=normalized_number_weights, k=1)[0]

# Output the chosen values
print(f"Chosen Multiplier: {chosen_multiplier}")
print(f"Chosen Number: {chosen_number}")
print("4. For between,1.01 to 100")
import random

# Define the range and weights for multipliers
multipliers = [i / 100 for i in range(101, 10001)]  # Generates numbers from 1.01 to 100.00
multiplier_weights = [1 if i <= 500 else 0.01 for i in range(101, 10001)]  # Lower probability for values over 5

# Normalize the weights
total_weight_multipliers = sum(multiplier_weights)
normalized_multiplier_weights = [w / total_weight_multipliers for w in multiplier_weights]

# Choose a random multiplier
chosen_multiplier = random.choices(multipliers, weights=normalized_multiplier_weights, k=1)[0]

# Define the range and weights for numbers
numbers = list(range(20, 101))
number_weights = [1 if i <= 30 else 0.01 for i in numbers]  # Lower probability for values over 30

# Normalize the weights
total_weight_numbers = sum(number_weights)
normalized_number_weights = [w / total_weight_numbers for w in number_weights]

# Choose a random number
chosen_number = random.choices(numbers, weights=normalized_number_weights, k=1)[0]

# Output the chosen values
print(f"Chosen Multiplier: {chosen_multiplier}")
print(f"Chosen Number: {chosen_number}")
by