Here's an implementation of the dynamic formulas for the Win'it platform in Python:
```python
def calculate_cost_of_win(face_value, gross_profit_margin):
    return face_value * (1 - gross_profit_margin)

def calculate_value_of_bonus_retry(cost_of_win, odds_of_winning):
    return cost_of_win * odds_of_winning / 100

def calculate_odds_with_bonus_retry(face_value, value_of_bonus_retry):
    return (face_value / value_of_bonus_retry) - 1

def calculate_bonus_retries_earned(num_friends_referred, bonus_retry_reward_per_referral):
    return num_friends_referred * bonus_retry_reward_per_referral

def calculate_cost_of_promotion(num_games, face_value, num_bonus_retries, value_of_bonus_retry):
    return (num_games * face_value) + (num_bonus_retries * value_of_bonus_retry)

def calculate_discount_to_fund_promotion(cost_of_promotion, total_sales):
    return (cost_of_promotion / total_sales) * 100

def calculate_num_games_won(num_games, odds_with_bonus_retry, num_bonus_retries):
    return num_games * (1 - (1 - odds_with_bonus_retry) ** num_bonus_retries)

def calculate_face_value_of_winnings(num_games_won, face_value):
    return num_games_won * face_value

def calculate_credit_won(face_value_of_winnings, gross_profit_margin):
    return face_value_of_winnings * (1 - gross_profit_margin)

def calculate_credit_banked(face_value_of_winnings, credit_won):
    return face_value_of_winnings - credit_won

def calculate_total_credit_issued(credit_banked, credit_won):
    return credit_banked + credit_won
```
You can call these functions with the appropriate inputs to calculate the different parameters of the Win'it platform, such as the cost of the win, value of bonus retries, number of games won, and credit banked/won. For example:
```python
# Inputs
face_value = 10
gross_profit_margin = 0.5
odds_of_winning = 5
num_friends_referred = 3
bonus_retry_reward_per_referral = 100
num_games = 100
num_bonus_retries = 10
total_sales = 1000

# Calculations
cost_of_win = calculate_cost_of_win(face_value, gross_profit_margin)
value_of_bonus_retry = calculate_value_of_bonus_retry(cost_of_win, odds_of_winning)
odds_with_bonus_retry = calculate_odds_with_bonus_retry(face_value, value_of_bonus_retry)
num_bonus_retries_earned = calculate_bonus_retries_earned(num_friends_referred, bonus_retry_reward_per_referral)
cost_of_promotion = calculate_cost_of_promotion(num_games, face_value, num_bonus_retries, value_of_bonus_retry)
discount_to_fund_promotion = calculate_discount_to_fund_promotion(cost_of_promotion, total_sales)
num_games_won = calculate_num_games_won(num_games, odds_with_bonus_retry, num_bonus_retries_earned)
face_value_of_winnings = calculate_face_value_of_winnings(num_games_won, face_value)
credit_won = calculate_credit_won(face_value_of_winnings, gross_profit_margin)
credit_banked = calculate_credit_banked(face_value_of_winnings, credit_won)
total_credit_issued = calculate_total_credit_issued(credit_banked, credit_won)

# Display results
print("Cost of win:", cost_of_win)
print("Value of bonus retry:", value_of_bonus_retry)
print("Odds with bonus retry:", odds_with_bonus_retry)
print("Bonus retries earned:", num_bonus_retries
```
다음은 파이썬에서 Win'it 플랫폼에 대한 동적 수식을 구현한 것입니다:```pythondef calculate_cost_of_win(face_value, gross_profit_margin):    반환 face_value * (1 - gross_profit_margin)def calculate_value_of_bonus_retry(cost_of_win, odds_of_winning):    반환 비용_오브_승리 * 승률_오브_승리 / 100def calculate_odds_with_bonus_retry(face_value, value_of_bonus_retry):    return (face_value / value_of_bonus_retry) - 1def calculate_bonus_retries_earned(num_friends_referred, bonus_retry_reward_per_referral):    반환 num_friends_referred * bonus_retry_reward_per_referraldef calculate_cost_of_promotion(num_games, face_value, num_bonus_retries, value_of_bonus_retry):    return (num_games * face_value) + (num_bonus_retries * value_of_bonus_retry)def calculate_discount_to_fund_promotion(cost_of_promotion, total_sales):    반환(cost_of_프로모션/총_매출) * 100def calculate_num_games_won(num_games, odds_with_bonus_retry, num_bonus_retries):    return num_games * (1 - (1 - odds_with_bonus_retry) ** num_bonus_retries)def calculate_face_value_of_winnings(num_games_won, face_value):    반환 NUM_GAMES_원 * FACE_가치def calculate_credit_won(face_value_of_winnings, gross_profit_margin):    반환 face_value_of_winnings * (1 - gross_profit_margin)def calculate_credit_banked(face_value_of_winnings, credit_won):    반환 액면가_상금 - 크레딧_원def calculate_total_credit_issued(credit_banked, credit_won):    반환 크레딧_은행 + 크레딧_원```이 함수를 적절한 입력값과 함께 호출하여 당첨 비용, 보너스 재시도 가치, 당첨 게임 수, 적립된 크레딧/원 등 Win'it 플랫폼의 다양한 매개변수를 계산할 수 있습니다. 예를 들어```python# 입력face_value = 10총수익_마진 = 0.5odds_of_winning = 5num_friends_referred = 3보너스_재시도_보상_추천당_보상 = 100num_games = 100num_bonus_retries = 10총_매출 = 1000# 계산cost_of_win = 계산_비용_오브_윈(액면가, 총이익_마진)value_of_bonus_retry = calculate_value_of_bonus_retry(cost_of_win, odds_of_winning)odds_with_bonus_retry = calculate_odds_with_bonus_retry(face_value, value_of_bonus_retry)num_bonus_retries_earned = calculate_bonus_retries_earned(num_friends_referred, bonus_retry_reward_per_referral)프로모션 비용 = 계산_프로모션_비용(num_games, face_value, num_bonus_retries, value_of_bonus_retry)할인_투_펀드_프로모션 = 계산_할인_투_펀드_프로모션(프로모션_비용, 총_매출)num_games_원 = 계산_num_games_원(num_games, 배당률_위드_보너스_재시도, 보너스_재시도_획득)얼굴_가치_상금 = 계산_얼굴_가치_상금(num_games_원, 얼굴_가치)크레딧_원 = 계산_크레딧_원(상금 액면가, 총수익 마진)크레딧_은행 = 계산_크레딧_은행(액면가_오브_상금, 크레딧_원)총_신용발행액 = 계산_총_신용발행액(신용_은행, 신용_원)# 결과 표시print("당첨 비용:", cost_of_win)print("보너스 재시도 금액:", value_of_bonus_retry)print("보너스 재시도 확률:", odds_with_bonus_retry)print("획득한 보너스 재시도 횟수:", num_bonus_retries```