Revert "Accommodate DMR-MARC JSON only database dumps"
This reverts commit 596fdd19752e74e8b504ddfecfb3bf99cfb0d785.
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50baf50ba7
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.gitignore
vendored
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.gitignore
vendored
@ -3,10 +3,6 @@ __pycache__/
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*.py[cod]
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*.py[cod]
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*$py.class
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*$py.class
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# Local Additions
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*.csv
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*.json
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# C extensions
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# C extensions
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*.so
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*.so
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@ -20,11 +20,11 @@
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from __future__ import print_function
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from __future__ import print_function
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import json
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from os.path import isfile, getmtime
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from os.path import isfile, getmtime
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from time import time
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from time import time
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from urllib import URLopener
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from urllib import URLopener
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from csv import reader as csv_reader
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from csv import reader as csv_reader
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from csv import DictReader as csv_dict_reader
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from binascii import b2a_hex as ahex
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from binascii import b2a_hex as ahex
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# Does anybody read this stuff? There's a PEP somewhere that says I should do this.
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# Does anybody read this stuff? There's a PEP somewhere that says I should do this.
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@ -36,6 +36,12 @@ __maintainer__ = 'Cort Buffington, N0MJS'
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__email__ = 'n0mjs@me.com'
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__email__ = 'n0mjs@me.com'
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# CONSTANTS
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SUB_FIELDS = ('ID', 'CALLSIGN', 'NAME', 'CITY', 'STATE', 'COUNTRY', 'TYPE')
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PEER_FIELDS = ('ID', 'CALLSIGN', 'CITY', 'STATE', 'COUNTRY', 'FREQ', 'CC', 'OFFSET', 'TYPE', 'LINKED', 'TRUSTEE', 'INFO', 'OTHER', 'NETWORK', )
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TGID_FIELDS = ('ID', 'NAME')
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#************************************************
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#************************************************
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# STRING UTILITY FUNCTIONS
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# STRING UTILITY FUNCTIONS
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#************************************************
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#************************************************
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@ -66,22 +72,6 @@ def int_id(_hex_string):
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return int(ahex(_hex_string), 16)
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return int(ahex(_hex_string), 16)
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#************************************************
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# RANDOM UTILITY FUNCTIONS
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#************************************************
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# Ensure all keys and values in a dictionary are ascii
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def mk_ascii_dict(input):
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if isinstance(input, dict):
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return {mk_ascii_dict(key): mk_ascii_dict(value) for key, value in input.iteritems()}
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elif isinstance(input, list):
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return [mk_ascii_dict(element) for element in input]
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elif isinstance(input, unicode):
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return input.encode('ascii','ignore')
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else:
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return input
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#************************************************
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#************************************************
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# ID ALIAS FUNCTIONS
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# ID ALIAS FUNCTIONS
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#************************************************
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#************************************************
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@ -110,74 +100,38 @@ def try_download(_path, _file, _url, _stale,):
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# LEGACY VERSION - MAKES A SIMPLE {INTEGER ID: 'CALLSIGN'} DICTIONARY
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# LEGACY VERSION - MAKES A SIMPLE {INTEGER ID: 'CALLSIGN'} DICTIONARY
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def mk_id_dict(_path, _file):
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def mk_id_dict(_path, _file):
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dict = {}
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dict = {}
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if _file.endswith(('.json','.JSON')):
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try:
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with open(_path+_file, 'rU') as _handle:
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ids = json.loads(_handle.read().decode('utf-8', 'ignore'))
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if 'repeaters' in ids:
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ids = ids['repeaters']
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id_type = 'locator'
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id_value = 'callsign'
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elif 'users' in ids:
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ids = ids['users']
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id_type = 'radio_id'
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id_value = 'callsign'
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elif 'tgids' in ids:
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ids = ids['tgids']
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id_type = 'tgid'
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id_value = 'name'
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else:
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return dict
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for row in range(len(ids)):
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dict[int(ids[row][id_type])] = ids[row][id_value].encode('ascii','ignore')
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_handle.close
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return dict
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except IOError:
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return dict
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elif _file.endswith(('.csv','.CSV')):
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try:
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with open(_path+_file, 'rU') as _handle:
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ids = csv_reader(_handle, dialect='excel', delimiter=',')
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for row in ids:
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dict[int(row[0])] = (row[1])
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_handle.close
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return dict
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except IOError:
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return dict
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# NEW VERSION - MAKES A FULL DICTIONARY OF INFORMATION BASED ON TYPE OF ALIAS FILE
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# BASED ON DOWNLOADS FROM DMR-MARC AND ONLY WORKS FOR DMR-MARC STYLE JSON FILES!!!
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# RESULTING DICTIONARY KEYS ARE INTEGER RADIO ID, AND VALURES ARE DICTIONARIES OF
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# WHATEVER IS IN EACH ROW OF THE DMR-MARC DATABASE USED, IE.:
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# 312345: {u'map': u'0', u'color_code': u'1', u'city': u'Morlon'.....u'map_info': u'', u'trustee': u'HB9HFF'}
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def mk_full_id_dict(_path, _file):
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dict = {}
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try:
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try:
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with open(_path+_file, 'rU') as _handle:
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with open(_path+_file, 'rU') as _handle:
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ids = json.loads(_handle.read().decode('utf-8', 'ignore'))
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ids = csv_reader(_handle, dialect='excel', delimiter=',')
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if 'repeaters' in ids:
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for row in ids:
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ids = ids['repeaters']
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dict[int(row[0])] = (row[1])
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id_type = 'locator'
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elif 'users' in ids:
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ids = ids['users']
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id_type = 'radio_id'
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else:
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return dict
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for row in range(len(ids)):
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dict[int(ids[row][id_type])] = ids[row]
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_handle.close
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_handle.close
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dict = mk_ascii_dict(dict)
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return dict
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return dict
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except IOError:
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except IOError:
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return dict
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return dict
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# USE THIS TO QUERY THE ID DICTIONARIES WE MAKE WITH THE FUNCTION(S) ABOVE
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# NEW VERSION - MAKES A FULL DICTIONARY OF INFORMATION BASED ON TYPE OF ALIAS FILE
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# BASED ON DOWNLOADS FROM DMR-MARC, TGID IS STILL A "SIMPLE" DICTIONARY
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def mk_full_id_dict(_path, _file, _type):
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dict = {}
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if _type == 'subscriber':
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fields = SUB_FIELDS
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elif _type == 'peer':
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fields = PEER_FIELDS
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elif _type == 'tgid':
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fields = TGID_FIELDS
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try:
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with open(_path+_file, 'rU') as _handle:
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ids = csv_dict_reader(_handle, fieldnames=fields, restkey='OTHER', dialect='excel', delimiter=',')
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for row in ids:
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for item in row:
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dict[int(row['ID'])] = row
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_handle.close
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return dict
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except IOError:
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return dict
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# THESE ARE THE SAME THING FOR LEGACY PURPOSES
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def get_alias(_id, _dict, *args):
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def get_alias(_id, _dict, *args):
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if type(_id) == str:
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if type(_id) == str:
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_id = int_id(_id)
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_id = int_id(_id)
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@ -194,5 +148,23 @@ def get_alias(_id, _dict, *args):
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return _dict[_id]
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return _dict[_id]
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return _id
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return _id
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# FOR LEGACY PURPOSES
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def get_info(_id, _dict, *args):
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get_info = get_alias
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if type(_id) == str:
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_id = int_id(_id)
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if _id in _dict:
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if args:
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retValue = []
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for _item in args:
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try:
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retValue.append(_dict[_id][_item])
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except TypeError:
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return _dict[_id]
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return retValue
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else:
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return _dict[_id]
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return _id
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2
setup.py
2
setup.py
@ -7,7 +7,7 @@ def readme():
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return file.read()
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return file.read()
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setup(name='dmr_utils',
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setup(name='dmr_utils',
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version='0.1.12',
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version='0.1.8',
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description='ETSI DMR (Digital Mobile Radio) Tier II Utilities',
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description='ETSI DMR (Digital Mobile Radio) Tier II Utilities',
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long_description='Modules to disassemble and assemble DMR packets, including generating and decoding various FEC routines',
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long_description='Modules to disassemble and assemble DMR packets, including generating and decoding various FEC routines',
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classifiers=[
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classifiers=[
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