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add proc_net_arp parser and tests
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81
docs/parsers/proc_net_arp.md
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81
docs/parsers/proc_net_arp.md
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[Home](https://kellyjonbrazil.github.io/jc/)
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<a id="jc.parsers.proc_net_arp"></a>
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# jc.parsers.proc\_net\_arp
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jc - JSON Convert `/proc/net/arp` file parser
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Usage (cli):
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$ cat /proc/net/arp | jc --proc
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or
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$ jc /proc/net/arp
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or
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$ cat /proc/net/arp | jc --proc-net-arp
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Usage (module):
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import jc
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result = jc.parse('proc', proc_net_arp_file)
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or
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import jc
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result = jc.parse('proc_net_arp', proc_net_arp_file)
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Schema:
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[
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{
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"IP_address": string,
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"HW_type": string,
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"Flags": string,
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"HW_address": string,
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"Mask": string,
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"Device": string
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}
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]
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Examples:
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$ cat /proc/net/arp | jc --proc -p
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[
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{
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"IP_address": "192.168.71.254",
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"HW_type": "0x1",
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"Flags": "0x2",
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"HW_address": "00:50:56:f3:2f:ae",
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"Mask": "*",
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"Device": "ens33"
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},
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...
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]
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<a id="jc.parsers.proc_net_arp.parse"></a>
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### parse
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```python
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def parse(data: str, raw: bool = False, quiet: bool = False) -> List[Dict]
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```
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Main text parsing function
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Parameters:
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data: (string) text data to parse
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raw: (boolean) unprocessed output if True
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quiet: (boolean) suppress warning messages if True
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Returns:
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List of Dictionaries. Raw or processed structured data.
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### Parser Information
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Compatibility: linux
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Version 1.0 by Kelly Brazil (kellyjonbrazil@gmail.com)
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@ -121,6 +121,7 @@ parsers = [
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'proc-pid-stat',
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'proc-pid-statm',
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'proc-pid-status',
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'proc-net-arp',
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'ps',
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'route',
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'rpm-qi',
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116
jc/parsers/proc_net_arp.py
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116
jc/parsers/proc_net_arp.py
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"""jc - JSON Convert `/proc/net/arp` file parser
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Usage (cli):
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$ cat /proc/net/arp | jc --proc
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or
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$ jc /proc/net/arp
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or
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$ cat /proc/net/arp | jc --proc-net-arp
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Usage (module):
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import jc
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result = jc.parse('proc', proc_net_arp_file)
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or
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import jc
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result = jc.parse('proc_net_arp', proc_net_arp_file)
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Schema:
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[
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{
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"IP_address": string,
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"HW_type": string,
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"Flags": string,
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"HW_address": string,
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"Mask": string,
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"Device": string
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}
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]
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Examples:
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$ cat /proc/net/arp | jc --proc -p
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[
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{
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"IP_address": "192.168.71.254",
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"HW_type": "0x1",
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"Flags": "0x2",
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"HW_address": "00:50:56:f3:2f:ae",
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"Mask": "*",
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"Device": "ens33"
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},
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...
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]
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"""
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from typing import List, Dict
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import jc.utils
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from jc.parsers.universal import simple_table_parse
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class info():
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"""Provides parser metadata (version, author, etc.)"""
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version = '1.0'
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description = '`/proc/net/arp` file parser'
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author = 'Kelly Brazil'
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author_email = 'kellyjonbrazil@gmail.com'
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compatible = ['linux']
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hidden = True
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__version__ = info.version
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def _process(proc_data: List[Dict]) -> List[Dict]:
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"""
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Final processing to conform to the schema.
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Parameters:
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proc_data: (List of Dictionaries) raw structured data to process
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Returns:
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List of Dictionaries. Structured to conform to the schema.
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"""
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return proc_data
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def parse(
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data: str,
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raw: bool = False,
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quiet: bool = False
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) -> List[Dict]:
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"""
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Main text parsing function
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Parameters:
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data: (string) text data to parse
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raw: (boolean) unprocessed output if True
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quiet: (boolean) suppress warning messages if True
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Returns:
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List of Dictionaries. Raw or processed structured data.
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"""
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jc.utils.compatibility(__name__, info.compatible, quiet)
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jc.utils.input_type_check(data)
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raw_output: List = []
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if jc.utils.has_data(data):
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header = 'IP_address HW_type Flags HW_address Mask Device'
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data_splitlines = data.splitlines()
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data_splitlines[0] = header
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raw_output = simple_table_parse(data_splitlines)
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return raw_output if raw else _process(raw_output)
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5
man/jc.1
5
man/jc.1
@ -590,6 +590,11 @@ PLIST file parser
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\fB--proc-pid-status\fP
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`/proc/<pid>/status` file parser
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.TP
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.B
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\fB--proc-net-arp\fP
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`/proc/net/arp` file parser
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.TP
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.B
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\fB--ps\fP
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1
tests/fixtures/linux-proc/net_arp.json
vendored
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1
tests/fixtures/linux-proc/net_arp.json
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[{"IP_address":"192.168.71.254","HW_type":"0x1","Flags":"0x2","HW_address":"00:50:56:f3:2f:ae","Mask":"*","Device":"ens33"},{"IP_address":"192.168.71.2","HW_type":"0x1","Flags":"0x2","HW_address":"00:50:56:f7:4a:fc","Mask":"*","Device":"ens33"},{"IP_address":"192.168.71.1","HW_type":"0x1","Flags":"0x2","HW_address":"a6:83:e7:d2:a9:65","Mask":"*","Device":"ens33"}]
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44
tests/test_proc_net_arp.py
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44
tests/test_proc_net_arp.py
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import os
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import unittest
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import json
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from typing import Dict
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import jc.parsers.proc_net_arp
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THIS_DIR = os.path.dirname(os.path.abspath(__file__))
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class MyTests(unittest.TestCase):
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f_in: Dict = {}
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f_json: Dict = {}
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@classmethod
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def setUpClass(cls):
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fixtures = {
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'proc_net_arp': (
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'fixtures/linux-proc/net_arp',
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'fixtures/linux-proc/net_arp.json')
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}
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for file, filepaths in fixtures.items():
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with open(os.path.join(THIS_DIR, filepaths[0]), 'r', encoding='utf-8') as a, \
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open(os.path.join(THIS_DIR, filepaths[1]), 'r', encoding='utf-8') as b:
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cls.f_in[file] = a.read()
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cls.f_json[file] = json.loads(b.read())
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def test_proc_net_arp_nodata(self):
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"""
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Test 'proc_net_arp' with no data
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"""
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self.assertEqual(jc.parsers.proc_net_arp.parse('', quiet=True), [])
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def test_proc_net_arp(self):
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"""
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Test '/proc/net/arp'
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"""
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self.assertEqual(jc.parsers.proc_net_arp.parse(self.f_in['proc_net_arp'], quiet=True),
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self.f_json['proc_net_arp'])
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if __name__ == '__main__':
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unittest.main()
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