config.py

import random
import math
import const

random.seed(0)

STEP_COUNTS = [100]
COMPANY_COUNTS = [100]
CANDIDATE_COUNTS = [100]
# COMPANY_CANDIDATES_TO_HIRE = math.ceil(CANDIDATE_COUNT/COMPANY_COUNT + 1)

# Strategies to choose from (distributed uniformly, in order)
COMPANY_STRATEGY_ASSIGNMENT = list(const.Strategy)
CANDIDATE_STRATEGY_ASSIGNMENT = list(const.Strategy)

# Used for determining value of offers and for deciding personal valuation
# Ex: Avg $ = 100,000, CANDIDATE_VALUATION_STD_DEV_DIVISOR = 5
#  Will generate valuation using normal distribution with 100000 as mu and 20000 as sigma (100000/5)
CANDIDATE_VALUATION_STD_DEV_DIVISOR = 10

# Random number 1-100 rolled. If above this, offer is accepted
COMPANY_RANDOM_STRATEGY_THRESHOLD = 50
CANDIDATE_RANDOM_STRATEGY_THRESHOLD = 50

# How high above/below willing to accept
ACCEPTANCE_RADIUS_PCT = 0.05

# How much value is lost when a company doesn't hire all the employees they want
COMPANY_LOST_HAPPINESS_MISSING_EMPLOYEES = 0

COMPANY_ACCEPTED_OFFER_MULTIPLIER = 1.0
CANDIDATE_ACCEPTED_OFFER_MULTIPLIER = 1.0


def company_candidates_to_hire(companies, candidates):
    return math.ceil(candidates/companies + 1)


# How far up or down to increase/decrease on negotiation
def negotiation_pct():
    return random.uniform(.02, .05)


def offer_expire_time():
    return random.randint(3, 5)