import numpy as np

# -------------------------------------------------
# Load samples.dat
# -------------------------------------------------

samples = np.genfromtxt(
    "./numpyro_inference/samples.dat",
    names=True,
    comments="#"
)

# -------------------------------------------------
# Read columns
# -------------------------------------------------

log_rate = samples["log_rate"]

lambda_0 = samples["lambda_0"]
lambda_1 = samples["lambda_1"]

# Third component fraction
lambda_2 = 1.0 - lambda_0 - lambda_1

# -------------------------------------------------
# Convert total rate
# -------------------------------------------------

# Use ONE convention only

# Natural log convention
Rtot = np.exp(log_rate)

# Base-10 log convention
# Rtot = 10**log_rate

# -------------------------------------------------
# Physical rates for each component
# -------------------------------------------------

R0 = lambda_0 * Rtot
R1 = lambda_1 * Rtot
R2 = lambda_2 * Rtot

# -------------------------------------------------
# Helper function
# -------------------------------------------------

def summarize(name, arr):
    median = np.median(arr)
    low = np.percentile(arr, 5)
    high = np.percentile(arr, 95)

    print(
        f"{name:15s} "
        f"median={median:10.3f}   "
        f"5%={low:10.3f}   "
        f"95%={high:10.3f}"
    )

# -------------------------------------------------
# Print results
# -------------------------------------------------

print("\n===== Mixture Fractions =====")
summarize("lambda_0", lambda_0)
summarize("lambda_1", lambda_1)
summarize("lambda_2", lambda_2)

print("\n===== Physical Rates =====")
summarize("R_total", Rtot)
summarize("R0", R0)
summarize("R1", R1)
summarize("R2", R2)