code: Find user's landmarks timestamps
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@ -1,5 +1,6 @@
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#!/usr/bin/env python3
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#!/usr/bin/env python3
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import ast
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from datetime import datetime
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from datetime import datetime
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from geopy.distance import distance
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from geopy.distance import distance
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import heapq
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import heapq
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@ -873,6 +874,41 @@ def find_lmdks(usrs_data, args):
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return usrs_lmdks
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return usrs_lmdks
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def find_lmdks_cont(lmdk_data, seq, uid, pct):
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'''
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Find user's landmarks timestamps.
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Parameters:
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lmdk_data - The landmarks contacts for all users per
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landmarks percentage.
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0: uid, 1: lmdk_pct, 2: contacts
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seq - The users' data.
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0: uid, 1: lmdk_pct, 2: contacts
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uid - The user's id that we are interested in.
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pct - The landmarks percentage.
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Returns:
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lmdks - The user's landmarks timestamps for the given
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landmarks percentage.
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0: tim, 1: uid_a, 2: uid_b, 3: rssi
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'''
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# Initialize user's landmarks
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lmdks = np.empty(0)
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# All the sequence
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if pct == 100:
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# Get all timestamps
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return seq[:, 1]
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# Find for given percentage
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elif pct != 0:
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# All user's landmark contacts for all landmarks percentages
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usr_lmdks = lmdk_data[lmdk_data[:, 0] == uid]
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# User's landmark contacts for given percentage
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pct_lmdks = ast.literal_eval(usr_lmdks[usr_lmdks[:, 1] == str(pct/100)][0][2])
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# Find landmarks timestamps
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for u in pct_lmdks:
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lmdks = np.concatenate((lmdks, np.array(seq[seq[:, 2] == float(u)])[:, 0]))
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return lmdks
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def lmdks_stats(args, usrs_lmdks):
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def lmdks_stats(args, usrs_lmdks):
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'''
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'''
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Generate landmarks' stats.
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Generate landmarks' stats.
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