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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Use docstring to annotate pipen processes
pip install -U pipen-annotate
from pprint import pprint
from pipen import Proc
from pipen_annotate import annotate
class Process(Proc):
"""Short description
Long description
Input:
infile: An input file
invar: An input variable
Output:
outfile: The output file
Envs:
ncores: Number of cores
"""
input = "infile:file, invar"
output = "outfile:file:output.txt"
args = {'ncores': 1}
annotated = annotate(Process)
# prints:
{'Envs': {'ncores': {'attrs': OrderedDiot([('default', 1)]),
'help': 'Number of cores',
'terms': OrderedDiot([])}},
'Input': {'infile': {'attrs': {'action': 'extend',
'itype': 'file',
'nargs': '+'},
'help': 'An input file',
'terms': OrderedDiot([])},
'invar': {'attrs': {'action': 'extend',
'itype': 'var',
'nargs': '+'},
'help': 'An input variable',
'terms': OrderedDiot([])}},
'Output': {'outfile': {'attrs': {'default': 'output.txt',
'otype': 'file'},
'help': 'The output file',
'terms': OrderedDiot([])}},
'Summary': {'long': 'Long description\n',
'short': 'Short description'}}
FAQs
Use docstring to annotate pipen processes
We found that pipen-annotate demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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