Pybytesize

Purpose

Use pybytesize (imported as bytesize) to parse and manipulate byte sizes with consistent unit conversions and formatting. We provide concise, accurate examples that show how ByteSize objects behave with metric vs binary units.

Key Requirements

ALWAYS distinguish metric vs binary units explicitly. Mixing MB (1000) with MiB (1024) causes silent errors. No exceptions.

YOU MUST catch specific exceptions (UnrecognizedSizeStringError, UnknownUnitError, NegativeByteSizeError) when parsing user input. Generic ByteSizeError catches everything—but specific exceptions give better UX. Every time.

When doing block-aligned calculations, verify block_bytes > 0 first. apparent_size() raises ValueError on invalid input. Always.

Quick start

Create a ByteSize from bytes or a size string and print a readable value.

python

from bytesize import ByteSize

size = ByteSize(1_048_576)
print(size)  # 1.00 MiB

size = ByteSize("500MB")
print(size.bytes)  # 500000000
print(size)        # 476.84 MiB

Common tasks

Convert between metric and binary units using dynamic attributes.

python

from bytesize import ByteSize

size = ByteSize(1_073_741_824)
print(size.MB)   # 1073.741824
print(size.MiB)  # 1024.0
print(size.GiB)  # 1.0

Pick a best-fit unit for display.

python

from bytesize import ByteSize

size = ByteSize(1_234_567)
unit, value = size.readable_metric
print(f"{value:.2f} {unit}")  # 1.23 MB

unit, value = size.readable_binary
print(f"{value:.2f} {unit}")  # 1.18 MiB

Format with precision and target units using format spec.

python

from bytesize import ByteSize

size = ByteSize(123_456_789)
print(f"{size:.2f:MB}")   # 123.46 MB
print(f"{size:.2f:GiB}")  # 0.11 GiB

Compute block-aligned apparent size.

python

from bytesize import ByteSize

size = ByteSize(123_456_789)
aligned = size.apparent_size(4096)
print(aligned.bytes)  # 123457536

Arithmetic works on ByteSize objects and preserves units.

python

from bytesize import ByteSize

total = ByteSize("1GB") + ByteSize("512MB")
print(total)  # 1.50 GiB

Error handling

pybytesize provides specific exceptions you can catch for validation and UX.

python

from bytesize import (
    ByteSize,
    ByteSizeError,
    NegativeByteSizeError,
    UnrecognizedSizeStringError,
    UnknownUnitError,
)

try:
    size = ByteSize("not_a_size")
except UnrecognizedSizeStringError:
    print("Could not parse size string")

try:
    size = ByteSize("100XX")
except UnknownUnitError as e:
    print(f"Unknown unit: {e}")

try:
    size = ByteSize(-1000)
except NegativeByteSizeError as e:
    print(f"Error: {e}")

try:
    size = ByteSize("-50MB")
except ByteSizeError as e:
    print(f"ByteSize error: {e}")

Non-obvious details

String parsing without validation = runtime failures. Every time. Always wrap parsing in try/except blocks for user input.

•String parsing accepts whitespace and underscores (e.g., " 1024B ", "1_073_741_824MB").
•print(ByteSize(...)) defaults to a best-fit binary unit (base 1024).
•readable_metric uses base 1000, readable_binary uses base 1024; both return (unit, value).
•Full-name unit attributes are supported (e.g., megabytes, gibibytes).
•apparent_size(block_bytes) requires block_bytes > 0; it raises ValueError otherwise.

References

None.