Number statistics report in Mojo

A seeded sample run through min, max, mean, and spread.

from std.random import random_float64, seed

def smallest(values: List[Float64]) -> Float64:
    var best = values[0]
    for value in values:
        if value < best:
            best = value
    return best

def largest(values: List[Float64]) -> Float64:
    var best = values[0]
    for value in values:
        if value > best:
            best = value
    return best

def mean(values: List[Float64]) -> Float64:
    var total = 0.0
    for value in values:
        total += value
    return total / Float64(len(values))

def main():
    # A fixed seed keeps the report reproducible.
    seed(17)
    var readings = List[Float64]()
    for _ in range(12):
        readings.append(random_float64(0.0, 100.0))

    var low = smallest(readings)
    var high = largest(readings)
    print("readings:", len(readings))
    print("min:     ", low)
    print("max:     ", high)
    print("mean:    ", mean(readings))
    print("spread:  ", high - low)

How it works

1. seed(17) fixes the generator so the report repeats exactly.
2. Twelve random_float64 draws fill a List[Float64].
3. smallest, largest, and mean each fold the list into one number.
4. main prints the summary as a small aligned report.

Keywords and builtins used here

• Float64
• List
• def
• for
• if
• largest
• len
• main
• mean
• print
• range
• return
• smallest
• var

The run, in numbers

Lines

36

Characters to type

812

Tokens

205

Three-star pace

75 tpm

At the three-star pace of 75 tokens a minute, this run takes about 164 seconds.

Type this snippet

Step 1 of 1 in Encore, step 26 of 26 in Language basics.

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