13726590978

Committed 07 Mar 2025 06:07PM UTC coverage: 1.726%. First build

Build # 13726590978

Build Type

push

github

Committed by

web-flow

Commit Message

Merge pull request #45 from CCPBioSim/39-implement-ci-pipeline-pre-commit-hooks

Implement CI pipeline pre-commit hooks

Coverage Stats

27 of 1135 new or added lines in 23 files covered. (2.38%)

53 of 3071 relevant lines covered (1.73%)

0.05 hits per line

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0.0

/CodeEntropy/poseidon/analysis/helper.py

import os

import psutil


def memoryInfo(verbosePrint):
    """
    Prints the current process's memory usage in gigabytes.

    Args:
        verbosePrint (bool): This parameter is unused in the function.

    Returns:
        None
    """
    process = psutil.Process(os.getpid())
    bytes_info = float(process.memory_info().rss)
    gb = bytes_info * 1e-9
    print("memory use:", round(gb, 3), "GB")  # in gbytes


def weightingPopulation(weighting):
    """
    Save a list of weightings per frame from biased simulations in the
    EEclass
    """
    dataFile = weighting[0]
    try:
        frame_chunks = weighting[1]
    except IndexError:
        frame_chunks = 1
    weighting_list = []
    with open(dataFile) as data:
        for line in data:
            weighting_list.append(line)
    data.close()

    weighting_info = [weighting_list, frame_chunks]

    return weighting_info

1	import os	×
2
NEW 3	import psutil	×
4
5
6	def memoryInfo(verbosePrint):	×
7	"""
8	Prints the current process's memory usage in gigabytes.
9
10	Args:
11	verbosePrint (bool): This parameter is unused in the function.
12
13	Returns:
14	None
15	"""
16	process = psutil.Process(os.getpid())	×
17	bytes_info = float(process.memory_info().rss)	×
18	gb = bytes_info * 1e-9	×
NEW 19	print("memory use:", round(gb, 3), "GB") # in gbytes	×
20
21
22	def weightingPopulation(weighting):	×
23	"""
24	Save a list of weightings per frame from biased simulations in the
25	EEclass
26	"""
27	dataFile = weighting[0]	×
28	try:	×
29	frame_chunks = weighting[1]	×
30	except IndexError:	×
31	frame_chunks = 1	×
32	weighting_list = []	×
33	with open(dataFile) as data:	×
34	for line in data:	×
35	weighting_list.append(line)	×
36	data.close()	×
37
38	weighting_info = [weighting_list, frame_chunks]	×
39
40	return weighting_info	×

CCPBioSim / CodeEntropy / 13726590978

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