# /// script
# requires-python = ">=3.12"
# dependencies = []
# exclude-newer = "2026-08-08T00:00:00Z"
# ///
"""Readable retrospective accounting-change bridge for Cedar Trail."""

from __future__ import annotations


def money(amount: float) -> str:
    """Display financial amounts with commas, parentheses, and two decimals."""
    return f"({abs(amount):,.2f})" if amount < 0 else f"{amount:,.2f}"


def per_share(amount: float) -> str:
    """Display per-share amounts with parentheses for negative values."""
    return f"({abs(amount):,.4f})" if amount < 0 else f"{amount:,.4f}"


def show(title: str, rows: list[tuple[str, float]]) -> None:
    """Print a compact financial schedule."""
    print(f"\n{title}\n{'-' * len(title)}")
    width = max(len(label) for label, _ in rows)
    for label, value in rows:
        print(f"{label:<{width}}  {money(value):>18}")


# Supplied conclusions: voluntary change is preferable and full retrospective
# application is practicable. Python does not originate those judgments.
tax_rate = 0.25

pre_year_2_pretax_effect = 240_000.00
opening_tax_effect = pre_year_2_pretax_effect * tax_rate
opening_equity_effect = pre_year_2_pretax_effect - opening_tax_effect
show(
    "Opening Year 2 bridge",
    [
        ("Pretax direct effect", pre_year_2_pretax_effect),
        ("Deferred tax liability", -opening_tax_effect),
        ("Opening retained earnings", opening_equity_effect),
    ],
)

# One dictionary is enough structure to avoid repeating formulas while keeping
# the accounting readable from top to bottom.
periods = {
    "Year 2": {
        "reported_pretax_income": 620_000.00,
        "pretax_adjustment": 70_000.00,
        "weighted_average_shares": 500_000.00,
    },
    "Year 3": {
        "reported_pretax_income": 750_000.00,
        "pretax_adjustment": -30_000.00,
        "weighted_average_shares": 520_000.00,
    },
}

for period, facts in periods.items():
    pretax_adjustment = facts["pretax_adjustment"]
    tax_effect = pretax_adjustment * tax_rate
    after_tax_effect = pretax_adjustment - tax_effect
    recast_pretax_income = facts["reported_pretax_income"] + pretax_adjustment
    basic_eps_adjustment = after_tax_effect / facts["weighted_average_shares"]
    show(
        f"{period} comparative bridge",
        [
            ("Pretax income as reported", facts["reported_pretax_income"]),
            ("Signed pretax adjustment", pretax_adjustment),
            ("Pretax income recast", recast_pretax_income),
            ("Tax effect", tax_effect),
            ("After-tax effect", after_tax_effect),
        ],
    )
    print(f"Basic EPS adjustment  {per_share(basic_eps_adjustment):>18}")

assert abs(opening_equity_effect - 180_000.00) < 0.01
assert abs(periods["Year 2"]["pretax_adjustment"] * (1 - tax_rate) - 52_500.00) < 0.01
assert abs(periods["Year 3"]["pretax_adjustment"] * (1 - tax_rate) + 22_500.00) < 0.01

print("\nBoundary: this script recomputes supplied direct effects and tax assumptions.")
print("It does not decide acceptability, preferability, practicability, tax law, or diluted EPS.")