CI Coverage Tests Docs PyPI Python License code style: ruff OpenSSF Scorecard

counted_float logo

counted-float

This Python package provides functionality for...

  • counting floating point operations (FLOPs) of numerical algorithms implemented in plain Python, optionally weighted by their relative cost of execution
  • running benchmarks to estimate the relative cost of executing various floating-point operations (requires numba optional dependency for achieving accurate results)

The target application area is evaluation of research prototypes of numerical algorithms where (weighted) flop counting can be useful for estimating total computational cost, in cases where benchmarking a compiled version (C, Rust, ...) is not feasible or desirable.

Flop weights are computed using a highly curated dataset spanning a wide range of modern CPUs:

  • 19 benchmarks, 16 spec sheets, 12 third party measurements (Agner Fog, uops.info)
  • covering x86 (Intel, AMD) and ARM (Apple, AWS, Azure) architectures

Full documentation: counted-float.readthedocs.io

Installation

Use your favorite package manager such as uv or pip:

pip install counted-float           # install without optional dependencies
pip install counted-float[numba]    # install with numba optional dependency
pip install counted-float[cli]      # install with CLI support (click)

Numba is optional due to its relatively large size (40-50MB, including llvmlite), but without it, benchmarks will not be reliable (but will still run, but not in jit-compiled form).

Quick start

CountedFloat is a drop-in replacement for the built-in float; it is "contagious", so results of math operations involving a CountedFloat stay CountedFloat:

from counted_float import CountedFloat

cf = CountedFloat(1.3)
f = 2.8

result = cf + f  # result = CountedFloat(4.1)

is_float_1 = isinstance(cf, float)  # True
is_float_2 = isinstance(result, float)  # True

FLOPs performed by CountedFloat values are counted while a FlopCountingContext is active:

from counted_float import CountedFloat, FlopCountingContext

cf1 = CountedFloat(1.73)
cf2 = CountedFloat(2.94)

with FlopCountingContext() as ctx:
    _ = cf1 * cf2
    _ = cf1 + cf2

counts = ctx.flop_counts()   # {FlopType.MUL: 1, FlopType.ADD: 1}
counts.total_count()         # 2

Performance overhead

CountedFloat adds counting overhead in two forms — the price of Python-level operator dispatch and result wrapping. Measured on an Apple M3 Max (measure your own machine with counted_float benchmark-counted-float):

  • native float ops (+, -, *, /, comparisons): roughly 20–40× slower than plain float per operation, environment-dependent (~23× on the M3 Max bisection benchmark);
  • patched math.* calls (math.sqrt, math.exp, …): a roughly fixed ~0.1 µs of overhead per call — about 6–7× for cheap functions like sqrt, and a smaller multiple for costlier ones (the fixed overhead is a smaller share of a slower call).

Two facts worth knowing:

  • the overhead is inherent and PauseFlopCounting does not reduce it (the instrumented operators still execute; only count registration stops) — the escape hatch for hot uncounted regions is converting back via float(x);
  • overhead never affects count accuracy — counts are exact regardless.

This makes CountedFloat a tool for research and prototyping code, not production hot loops.

Documentation

The documentation site covers the rest:

Project links

Data verified by PyPI on Jul 14, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.6.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for bert_pluymers from gravatar.com bert_pluymers

GitHub Statistics

Data verified by PyPI on Jul 14, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

Apache Software License

Requires

Python >=3.11

Provides Extra

cli numba

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

counted_float-1.5.2.tar.gz (102.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

counted_float-1.5.2-py3-none-any.whl (147.8 kB view details)

Uploaded Python 3

File details

Details for the file counted_float-1.5.2.tar.gz.

File metadata

  • Download URL: counted_float-1.5.2.tar.gz
  • Upload date:
  • Size: 102.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for counted_float-1.5.2.tar.gz
Algorithm Hash digest
SHA256 340ab2960fc5d89da3cbe5332cb69bbc8980a41b334752808953440bfad58037
MD5 894ee2157034ceccfa3f134ecbee22d3
BLAKE2b-256 c7a54f9a8d95a8a1bd6f9fb456b6366c87c761df70a0331e63e64ca3cb799734

See more details on using hashes here.

Provenance

The following attestation bundles were made for counted_float-1.5.2.tar.gz:

Publisher: release_tag.yml on bertpl/counted-float

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file counted_float-1.5.2-py3-none-any.whl.

File metadata

  • Download URL: counted_float-1.5.2-py3-none-any.whl
  • Upload date:
  • Size: 147.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for counted_float-1.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 bba59f8750b55ae6293350331de783d76c01b3621b72fe967c88cabfa4af77d6
MD5 43a93cc8235760bdf984f4a0a31c32c3
BLAKE2b-256 1d41623cc4f1045741f7fa6c8baaf350eeb72a5f7a419ca2415c0737ad10acab

See more details on using hashes here.

Provenance

The following attestation bundles were made for counted_float-1.5.2-py3-none-any.whl:

Publisher: release_tag.yml on bertpl/counted-float

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

2.6.0

2 files

2.5.0

2 files

2.4.0

2 files

2.3.1

2 files

2.3.0

2 files

2.2.2

2 files

2.2.1

2 files

2.2.0

2 files

2.1.1

2 files

2.1.0

2 files

2.0.5

2 files

2.0.4

2 files

2.0.3

2 files

2.0.2

2 files

2.0.1

2 files

2.0.0

2 files

1.7.0

2 files

1.6.3

2 files

1.6.2

2 files

1.6.1

2 files

1.6.0

2 files

This release

1.5.2 This release

2 files

1.5.1

2 files

1.5.0

2 files

1.4.2

2 files

1.4.1

2 files

1.4.0

2 files

1.3.0

2 files

1.2.2

2 files

1.2.1

2 files

1.2.0

2 files

1.1.4

2 files

1.1.3

2 files

1.1.2

2 files

1.1.1

2 files

1.1.0

2 files

1.0.5

2 files

1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

1.0.0

2 files

0.9.7

2 files

0.9.6

2 files

0.9.5

2 files

0.9.4

2 files

0.9.3

2 files

0.9.2

2 files

0.9.1

2 files

0.8.4

2 files

0.8.3

2 files

0.8.2

2 files

0.8.1

2 files

0.8.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page