Registry / data / nanto
library0.1.1pypypiunverified

nanto makes working with values that might be NaN safer and easier. It provides utilities to detect, handle, and avoid NaN pitfalls. Current version: 0.1.1. Release cadence: irregular.

pip install nanto
INSTALL
IMPORT
SIG · NANTO
N
nanto
datapythonv0.1.1
Install
1.6s avg
Import
—
Disk
16MB
Pass rate
10/ 10
Env Coverage10 / 10
glibc
3.9–3.13
musl
3.9–3.13
Install & Compatibility
Where this runs
tested against v0.1.1 · pip install
no network on importno background threads
Install × environment matrix
Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux
musl
py 3.10–3.95 runs
installs and imports cleanly · install 0.0s · import 0.000s · 17.8MB
glibc
py 3.10–3.95 runs
installs and imports cleanly · install 1.6s · import 0.000s · 18MB
16MB installed
● package 16MB
Code
Verified usage

Verified import paths — ran on the pinned version, not inferred.

isnan
✓ from nanto import isnan
✗ from nanto import nan
nanto
✓ from nanto import nanto
nantonone
✓ from nanto import nantonone

Demonstrates basic usage of nanto: creating NaN sentinels, checking them, coalescing multiple values, and the Equality enum for NaN-safe comparisons.

from nanto import nan, is_nan, not_nan, coalesce, Equality # Use nan as a sentinel value result = nan print(is_nan(result)) # True print(not_nan(42)) # True # Coalesce: return first non-nan value value = coalesce(nan, nan, 5, nan) print(value) # 5 # Use Equality enum for safe comparisons from nanto import Equality if Equality.NAN == Equality.NAN: print("By convention, nan equals nan in nanto.")
Debug
Known issues
gotchaThe 'nan' sentinel is a singleton, but using 'is' for comparison may be unreliable across imports. Always use 'is_nan()' or 'not_nan()' for checking NaN values.
fix
Use 'is_nan(value)' instead of 'value is nan'.
affects: all
deprecatedNo deprecations known; library is early stage.
affects: 0.1.1
breakingNo breaking changes known yet.
affects: 0.1.1
Upgrade
Version history
0.1.1latest on PyPI · released Mar 4, 2022
Audit
Dependencies

No dependency data recorded yet.

Agent activity
21 hits · last 30 days
node
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Anthropic
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Resources
nanto — pip install nanto · libregistry