稻花香里说丰年
This commit is contained in:
wJsJwr
parent
99fedde465
commit
8c9dbec59e
2
.vscode/settings.json
vendored
2
.vscode/settings.json
vendored
@ -1,3 +1,3 @@
|
||||
{
|
||||
"python.pythonPath": "C:\\Users\\wjs\\Anaconda3\\python.exe"
|
||||
"python.pythonPath": "/Users/wjsjwr/.pyenv/versions/anaconda3-5.0.1/bin/python"
|
||||
}
|
||||
45
dist_of_k.py
Normal file
45
dist_of_k.py
Normal file
@ -0,0 +1,45 @@
|
||||
import json
|
||||
from matplotlib import pyplot as plt
|
||||
from island.match import Match
|
||||
from island.matches import Matches
|
||||
from numpy import mean, std
|
||||
import numpy as np
|
||||
|
||||
|
||||
matches = Matches('wos-data-new')
|
||||
max_round = 15
|
||||
|
||||
|
||||
|
||||
fig = plt.figure(figsize=(6.4, 3.6))
|
||||
ax = fig.gca()
|
||||
index = np.arange(11)
|
||||
ax.set_xlabel('k')
|
||||
ax.set_ylabel('p(k)')
|
||||
|
||||
c = ['#00b894','#00cec9','#0984e3','#6c5ce7','#e84393','#d63031','#e17055','#fdcb6e','#2d3436','#6ab04c','#30336b','#ED4C67']
|
||||
|
||||
for i in range(len(matches.data)):
|
||||
k = np.zeros(11)
|
||||
m = matches.data[i]
|
||||
n = {}
|
||||
for r in m.query('neighbor', 'create').raw_data:
|
||||
if r['a'] in n:
|
||||
n[r['a']].append(r['b'])
|
||||
else:
|
||||
n[r['a']] = [r['b']]
|
||||
|
||||
if r['b'] in n:
|
||||
n[r['b']].append(r['a'])
|
||||
else:
|
||||
n[r['b']] = [r['a']]
|
||||
for j in n.keys():
|
||||
k[len(n[j])] += 1
|
||||
pk = k / np.sum(k)
|
||||
print(i)
|
||||
ax.scatter(index, pk, color=c[i])
|
||||
|
||||
# ax.set_title('Scores by group and gender')
|
||||
fig.tight_layout()
|
||||
plt.show()
|
||||
# plt.savefig('graph/neigh_per_round.eps')
|
||||
@ -95,6 +95,55 @@ class Match:
|
||||
|
||||
return len(self.raw_data)
|
||||
|
||||
|
||||
def get_tr(self, i, target, nb, sv):
|
||||
"""
|
||||
# 计算tau_p的方式是统计周围邻居剩余的tr
|
||||
# 本函数计算第i轮，所有有消耗tr的player，最后剩余的tr
|
||||
# 由于是计算剩余tr，所以不能计算和target之间的交互
|
||||
# nb是target的邻居
|
||||
"""
|
||||
trs = {}
|
||||
req = self.query('action', 'request').where(lambda x: x['rno'] == i+1)
|
||||
app = self.query('action', 'approve').where(lambda x: x['rno'] == i+1).raw_data
|
||||
can = self.query('action', 'cancel').where(lambda x: x['rno'] == i+1).raw_data
|
||||
den = self.query('action', 'deny').where(lambda x: x['rno'] == i+1).raw_data
|
||||
|
||||
fr = []
|
||||
for r in self.query('action', 'done').where(lambda x: x['rno'] == i and (x['a'] == target or x['b'] == target)).raw_data:
|
||||
if r['a'] == target:
|
||||
fr.append(r['b'])
|
||||
elif r['b'] == target:
|
||||
fr.append(r['a'])
|
||||
|
||||
truenb = []
|
||||
for r in nb:
|
||||
if r not in fr and r in sv:
|
||||
truenb.append(r)
|
||||
trs[r] = 1440
|
||||
|
||||
for r in req.raw_data:
|
||||
if r['from'] in truenb and r['to'] != target :
|
||||
if r['from'] not in trs:
|
||||
trs[r['from']] = 1440
|
||||
trs[r['from']] -= r['tr']
|
||||
|
||||
for r in app:
|
||||
if r['from'] in truenb and r['to'] != target:
|
||||
if r['from'] not in trs:
|
||||
trs[r['from']] = 1440
|
||||
trs[r['from']] -= r['tr']
|
||||
|
||||
for r in can:
|
||||
if r['from'] in trs and r['to'] != target:
|
||||
trs[r['from']] += req.where(lambda x: x['from'] == r['from'] and x['to'] == r['to'] and x['log_id'] < r['log_id']).orderby('log_id').raw_data[-1]['tr']
|
||||
|
||||
for r in den:
|
||||
if r['to'] in trs and r['from'] != target:
|
||||
trs[r['to']] += req.where(lambda x: x['from'] == r['to'] and x['to'] == r['from'] and x['log_id'] < r['log_id']).orderby('log_id').raw_data[-1]['tr']
|
||||
|
||||
return trs
|
||||
|
||||
@staticmethod
|
||||
def read_from_json(json_path):
|
||||
"""
|
||||
|
||||
51
tau_p_co.py
51
tau_p_co.py
@ -10,54 +10,7 @@ from matplotlib import markers
|
||||
def error(f,x,y):
|
||||
return sp.sum((f(x)-y)**2)
|
||||
|
||||
def get_tr(m, i, target, nb, sv):
|
||||
"""
|
||||
# 计算tau_p的方式是统计周围邻居剩余的tr
|
||||
# 本函数计算第i轮，所有有消耗tr的player，最后剩余的tr
|
||||
# 由于是计算剩余tr，所以不能计算和target之间的交互
|
||||
# nb是target的邻居
|
||||
"""
|
||||
trs = {}
|
||||
req = m.query('action', 'request').where(lambda x: x['rno'] == i+1)
|
||||
app = m.query('action', 'approve').where(lambda x: x['rno'] == i+1).raw_data
|
||||
can = m.query('action', 'cancel').where(lambda x: x['rno'] == i+1).raw_data
|
||||
den = m.query('action', 'deny').where(lambda x: x['rno'] == i+1).raw_data
|
||||
|
||||
fr = []
|
||||
for r in m.query('action', 'done').where(lambda x: x['rno'] == i and (x['a'] == target or x['b'] == target)).raw_data:
|
||||
if r['a'] == target:
|
||||
fr.append(r['b'])
|
||||
elif r['b'] == target:
|
||||
fr.append(r['a'])
|
||||
|
||||
truenb = []
|
||||
for r in nb:
|
||||
if r not in fr and r in sv:
|
||||
truenb.append(r)
|
||||
trs[r] = 1440
|
||||
|
||||
for r in req.raw_data:
|
||||
if r['from'] in truenb and r['to'] != target :
|
||||
if r['from'] not in trs:
|
||||
trs[r['from']] = 1440
|
||||
trs[r['from']] -= r['tr']
|
||||
|
||||
for r in app:
|
||||
if r['from'] in truenb and r['to'] != target:
|
||||
if r['from'] not in trs:
|
||||
trs[r['from']] = 1440
|
||||
trs[r['from']] -= r['tr']
|
||||
|
||||
for r in can:
|
||||
if r['from'] in trs and r['to'] != target:
|
||||
trs[r['from']] += req.where(lambda x: x['from'] == r['from'] and x['to'] == r['to'] and x['log_id'] < r['log_id']).orderby('log_id').raw_data[-1]['tr']
|
||||
|
||||
for r in den:
|
||||
if r['to'] in trs and r['from'] != target:
|
||||
trs[r['to']] += req.where(lambda x: x['from'] == r['to'] and x['to'] == r['from'] and x['log_id'] < r['log_id']).orderby('log_id').raw_data[-1]['tr']
|
||||
|
||||
return trs
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
||||
matches = Matches('wos-data-new')
|
||||
max_round = 15
|
||||
@ -129,7 +82,7 @@ for i in range(max_round-1):
|
||||
if k not in neighbors[matches.names[j]]:
|
||||
print("[%s(%d)] alone: %d" % (matches.names[j], i+1, k))
|
||||
else:
|
||||
trs = get_tr(matches.data[j], i, k, neighbors[matches.names[j]][k], survivals[matches.names[j]][str(i)])
|
||||
trs = matches.data[j].get_tr(i, k, neighbors[matches.names[j]][k], survivals[matches.names[j]][str(i)])
|
||||
for l in neighbors[matches.names[j]][k]:
|
||||
if l in trs:
|
||||
t += trs[l]
|
||||
|
||||
122
taup_and_new_partner.py
Normal file
122
taup_and_new_partner.py
Normal file
@ -0,0 +1,122 @@
|
||||
import json
|
||||
from matplotlib import pyplot as plt
|
||||
from island.match import Match
|
||||
from island.matches import Matches
|
||||
import numpy as np
|
||||
from scipy.stats import pearsonr
|
||||
|
||||
matches = Matches('wos-data-new')
|
||||
|
||||
k = np.arange(0, 1441, 144)
|
||||
succ = np.zeros(11)
|
||||
total = np.zeros(11)
|
||||
|
||||
survivals = {}
|
||||
with open('survivals.json', 'r') as f:
|
||||
survivals = json.load(f)
|
||||
|
||||
neighbors = {}
|
||||
for i in range(len(matches.data)):
|
||||
m = matches.data[i]
|
||||
n = {}
|
||||
for r in m.query('neighbor', 'create').raw_data:
|
||||
if r['a'] in n:
|
||||
n[r['a']].append(r['b'])
|
||||
else:
|
||||
n[r['a']] = [r['b']]
|
||||
|
||||
if r['b'] in n:
|
||||
n[r['b']].append(r['a'])
|
||||
else:
|
||||
n[r['b']] = [r['a']]
|
||||
neighbors[matches.names[i]] = n
|
||||
|
||||
for m_i in range(len(matches.data)):
|
||||
m = matches.data[m_i]
|
||||
info = m.query('game', 'created').select('info').first()['info']
|
||||
conf = json.loads(info['config'])
|
||||
game_end_at = int(info['game_end_at'])
|
||||
|
||||
for p in m.query('player', 'join').raw_data:
|
||||
pid = p['pid']
|
||||
for i in range(2, game_end_at):
|
||||
neighborhood = []
|
||||
if pid not in neighbors[matches.names[m_i]]:
|
||||
break
|
||||
for j in neighbors[matches.names[m_i]][pid]:
|
||||
if j in survivals[matches.names[m_i]][str(i-1)]:
|
||||
neighborhood.append(j)
|
||||
if len(neighborhood) < 2:
|
||||
break
|
||||
previous_round_partner = []
|
||||
for r in m.query('action', 'done').where(lambda x: x['rno']==i-1 and (x['a']==pid or x['b']==pid)).raw_data:
|
||||
if r['a'] == pid:
|
||||
previous_round_partner.append(r['b'])
|
||||
else:
|
||||
previous_round_partner.append(r['a'])
|
||||
new_partner_request = 0
|
||||
for r in m.query('action', 'request').where(lambda x: x['rno']==i and (x['from']==pid or x['to']==pid)).raw_data:
|
||||
if r['from'] == pid:
|
||||
if r['to'] not in previous_round_partner:
|
||||
new_partner_request += 1
|
||||
else:
|
||||
if r['from'] not in previous_round_partner:
|
||||
new_partner_request += 1
|
||||
if new_partner_request == 0:
|
||||
continue
|
||||
new_partner_succ = 0
|
||||
for r in m.query('action', 'done').where(lambda x: x['rno']==i and (x['a']==pid or x['b']==pid)).raw_data:
|
||||
if r['a'] == pid:
|
||||
if r['b'] not in previous_round_partner:
|
||||
new_partner_succ += 1
|
||||
else:
|
||||
if r['a'] not in previous_round_partner:
|
||||
new_partner_succ += 1
|
||||
t = 0
|
||||
trs = m.get_tr(i, pid, neighbors[matches.names[m_i]][pid], survivals[matches.names[m_i]][str(i-1)])
|
||||
for l in neighborhood:
|
||||
if l in trs:
|
||||
t += trs[l]
|
||||
t = t if t <= 1440 else 1440
|
||||
succ[t//144] += new_partner_succ
|
||||
total[t//144] += new_partner_request
|
||||
|
||||
red = '#d63031'
|
||||
fig = plt.figure(figsize=(6.4, 4))
|
||||
ax = fig.gca()
|
||||
bar_width = 0.35
|
||||
opacity = 1
|
||||
error_config = {'ecolor': '0.3', 'capsize': 4}
|
||||
# rects1 = ax.bar(k, succ, bar_width,
|
||||
# alpha=opacity, color='#00b894',
|
||||
# # yerr=c_req_suc_std, error_kw=error_config,
|
||||
# label='Success')
|
||||
# rects3 = ax.bar(k + bar_width, total, bar_width,
|
||||
# alpha=opacity, color='#fdcb6e',
|
||||
# # yerr=d_req_suc_mean, error_kw=error_config,
|
||||
# label='Requests')
|
||||
|
||||
ax.set_xlabel('k')
|
||||
ax.set_ylabel('Count')
|
||||
# ax.set_title('Scores by group and gender')
|
||||
# ax.set_xticks(k + bar_width / 2)
|
||||
# ax.set_xticklabels(k)
|
||||
ax.legend()
|
||||
ax2 = ax.twinx()
|
||||
ax.plot(k, succ, color='#00b894', lw=2, marker='*', ls='none')
|
||||
ax.plot(k, total, color='#fdcb6e', lw=2, marker='+', ls='none')
|
||||
for i in range(11):
|
||||
if total[i] == 0:
|
||||
total[i] = 1
|
||||
ax2.plot(k, succ/total,linewidth=2,color=red, ls='--')
|
||||
# ax2.set_ylabel("Frequency of new partners", family='sans-serif', color=red)
|
||||
# ax2.tick_params(axis='y', labelcolor=red)
|
||||
ax2.set_ylim(0,1)
|
||||
fig.tight_layout()
|
||||
plt.show()
|
||||
# plt.savefig('graph/k_and_new_partner.eps')
|
||||
|
||||
# print("[succ vs k]pearson: %f, p-value: %f" % pearsonr(succ, k))
|
||||
# print("[total vs k]pearson: %f, p-value: %f" % pearsonr(total, k))
|
||||
# print("[rate vs k]pearson: %f, p-value: %f" % pearsonr(succ/total, k))
|
||||
# print(np.average(succ/total))
|
||||
Loading…
Reference in New Issue
Block a user