code-meters -- Monitor resource usage of Python code
Example
As a context manager:
from meters import ResourceMeter
with ResourceMeter("Data Processing"):
data = [x**2 for x in range(1000000)]
# Data Processing: wall time: 0.24156 s (241560 microseconds), CPU time: 0.226669 s (226669 microseconds), memory: 92925952 bytes (88.6211 MiB)
As a function decorator:
from meters import metered
@metered
def process(n):
return sum([x**3 for x in range(n)])
print(process(1000000))
# process: wall time: 0.310323 s (310323 microseconds), CPU time: 0.291285 s (291285 microseconds), memory: 152657920 bytes (145.586 MiB)
# 249999500000250000000000
Release files for code-meters 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| code-meters-0.0.3.tar.gz | 10.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| code_meters-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.9 kB
Release files / code-meters-0.0.3.tar.gz
| Download URL | code-meters-0.0.3.tar.gz |
|---|---|
| Size | 10.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.10
|
Release files / code_meters-0.0.3-py3-none-any.whl
| Download URL | code_meters-0.0.3-py3-none-any.whl |
|---|---|
| Size | 8.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.10
|
