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212
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b5078b9854c91fa4f913d8e9cf8b08dc1713fe7f
|
5307cf8599fe63025c98ca3a6fb3d8a8b96f2c1e
|
/learning/urls.py
|
7a2b29c048e51617cf70d47fa0b2742c476762ec
|
[] |
no_license
|
lidayan/soundwave
|
5bf4382071938b55f9fe2dfd9c709d2c4cb96aeb
|
082852465ff263ece5a3301768c905f7c8d6f53b
|
refs/heads/master
| 2020-01-27T09:58:19.726921
| 2016-09-11T14:38:33
| 2016-09-11T14:38:33
| 67,899,466
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 435
|
py
|
from django.conf.urls import patterns, url, include
from rest_framework.routers import DefaultRouter
import views
# Create a router and register our viewsets with it.
router = DefaultRouter()
router.register(r'snippet', views.SnippetViewSet)
urlpatterns = patterns('',
url(r'^api/', include(router.urls)),
url(r'^api/user/$', views.UserList.as_view()),
url(r'^api/user/(?P<pk>[0-9]+)/$', views.UserDetail.as_view()),
)
|
[
"dayan.li@datayes.com"
] |
dayan.li@datayes.com
|
aefc218d9c057a504d5c617cb6fd9a67156ff7d7
|
486abb27f63d89704c0c8df30adc1250610881d1
|
/7 - Modèle proie-prédateur.py
|
7d02fb088c0fbd6cc366b9f808fa4c6dabe22f6f
|
[] |
no_license
|
Julien-COCCO/Mini-Projet
|
8fb595fcd1f421ddbe1641a88798c09b610c7450
|
e881f28b7d136837b9ccd0307bfd464cf0d17881
|
refs/heads/main
| 2023-04-20T23:55:17.347591
| 2021-05-10T09:53:22
| 2021-05-10T09:53:22
| 365,993,895
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,589
|
py
|
import numpy as np
import matplotlib.pyplot as plt
import scipy.integrate as sc
tfin = 4 # En années
n = round(365*tfin) # Intauration d'une d'une étude jour par jour
h = tfin/n
t = np.linspace(0,tfin,n)
Y0 = np.array([5,3])
## 1 et 2
a1 = 3
b1 = 1
a2 = 2
b2 = 1
y1 = np.zeros(n)
for i in range(n):
y1[i] = 5*np.exp(a1*t[i])
y2 = np.zeros(n)
for i in range(n):
y2[i] = 3*np.exp(-a2*t[i])
plt.figure(1)
#plt.plot(t,y1,label="Proies sans prédateurs")
plt.plot(t,y2,label="Prédateurs sans proies")
plt.xlabel("Temps (années)")
plt.ylabel("Effectif de l'espèce")
plt.legend()
plt.show()
## 3 et +
def modelePP(Y,t):
a1 = 3
b1 = 1
a2 = 2
b2 = 1
if Y[0] < 2:
a1 = 0 # Il faut un effectif minimum de 2 pour que la reproduction est lieu
if Y[0] < 1:
Y[0] = 0 # Lorsque l'effectif descend en-dessous de 1, on le fait passer à 0
if Y[1] < 2:
b2 = 0 # Il faut un effectif minimum de 2 pour que la reproduction est lieu
if Y[1] < 1:
Y[1] = 0 # Lorsque l'effectif descend en-dessous de 1, on le fait passer à 0
Yprime = np.zeros(2)
Yprime[0] = a1*Y[0] - b1*Y[0]*Y[1]
Yprime[1] = -a2*Y[1] + b2*Y[0]*Y[1]
return(Yprime)
Ye = np.zeros((n,2))
Ye[0][:] = Y0
# Méthode d'Euler
for i in range(1,n):
Ye[i][:] = Ye[i-1][:] + h*modelePP(Ye[i-1][:],i-1)
#
Yrk = np.zeros((n,2))
Yrk[0][:] = Y0
# Création des vecteurs intermédiaires
k1 = np.zeros(2)
k2 = np.zeros(2)
k3 = np.zeros(2)
k4 = np.zeros(2)
#
# Méthode de Runge-Kutta d'ordre 4
for i in range(1,n):
k1 = modelePP(Yrk[i-1],i-1)
k2 = Yrk[i-1][:] + (h/2)*k1
k2 = modelePP(k2,i-1)
k3 = Yrk[i-1][:] + (h/2)*k2
k3 = modelePP(k3,i-1)
k4 = Yrk[i-1][:] + h*k3
k4 = modelePP(k4,i-1)
Yrk[i][:] = Yrk[i-1][:] + (h/6)*(k1+2*k2+2*k3+k4)
#
plt.figure("Evolution")
plt.plot(t,Yrk[:,0],label="Evolution des proies (Runge-Kutta d'ordre 4)")
plt.plot(t,Yrk[:,1],label="Evolution des prédateurs (Runge-Kutta d'ordre 4)")
# plt.plot(t,Ye[:,0],label="Evolution des proies (Euler)")
# plt.plot(t,Ye[:,1],label="Evolution des prédateurs (Euler)")
plt.xlabel("Temps (années) (3 1 6 1)")
plt.ylabel("Effectif de l'espèce")
plt.legend()
plt.show()
plt.figure("Portrait de phase")
plt.plot(Yrk[:,0],Yrk[:,1],label="Portrait de phase (Runge-Kutta d'ordre 4)")
# plt.plot(Ye[:,0],Ye[:,1],label="Portrait de phase (Euler)")
plt.xlabel("Lièvres")
plt.ylabel("Lynxs")
plt.legend()
plt.show()
|
[
"noreply@github.com"
] |
Julien-COCCO.noreply@github.com
|
54cbac2ab3251f212b32ce8738bf0a161e2bf3b3
|
8d20be639f9cbdccb12426c7c75782c32a36dd95
|
/mastermind/mastermind_api/apps.py
|
a01aa6c29c1d27a5a88696ba5c894cfbffd708a6
|
[] |
no_license
|
pkmishra47/DjangoRestAPI
|
40f80db68fafbce3df5be6d2f40701b2a8070102
|
6b7c22738cf17983094afc2010798c78c0797516
|
refs/heads/master
| 2022-12-21T06:48:51.326545
| 2020-05-23T04:25:11
| 2020-05-23T04:25:11
| 211,448,263
| 0
| 0
| null | 2022-12-08T07:28:36
| 2019-09-28T05:19:39
|
Python
|
UTF-8
|
Python
| false
| false
| 102
|
py
|
from django.apps import AppConfig
class MastermindApiConfig(AppConfig):
name = 'mastermind_api'
|
[
"pkmishra.pradeep@gmail.com"
] |
pkmishra.pradeep@gmail.com
|
d4fcd6722bf3e2aa3b7c4a69ef1f326cba652e5d
|
2f98aa7e5bfc2fc5ef25e4d5cfa1d7802e3a7fae
|
/python/python_9354.py
|
a2f63ab382168c4f95a27c8efd89815462e8eb59
|
[] |
no_license
|
AK-1121/code_extraction
|
cc812b6832b112e3ffcc2bb7eb4237fd85c88c01
|
5297a4a3aab3bb37efa24a89636935da04a1f8b6
|
refs/heads/master
| 2020-05-23T08:04:11.789141
| 2015-10-22T19:19:40
| 2015-10-22T19:19:40
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 73
|
py
|
# Packaging pyOpenSSL into a windows executable using PyInstaller
BINARY
|
[
"ubuntu@ip-172-31-7-228.us-west-2.compute.internal"
] |
ubuntu@ip-172-31-7-228.us-west-2.compute.internal
|
1cedfbd0e683c883671587ad562589837e9e10b8
|
2c574b863fd85124b630c528e1ddd3a387ae0157
|
/8.largestProductInASeries.py
|
f6416ade31961a4fd0681328eaa817e57678bd86
|
[] |
no_license
|
omiroshn/projecteuler
|
93acc12f4667ea88eb5b47c13cdddb00d5fe12a9
|
3720e300e6f5a6e1983df7fdac280a6793e1ae23
|
refs/heads/master
| 2021-10-10T20:04:06.343317
| 2019-01-16T14:58:14
| 2019-01-16T14:58:14
| 163,091,809
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,183
|
py
|
str = "7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450"
max = 0
i = 0
while i < len(str)-12:
new = 1
for j in range(i,i+13):
if str[j] == '0':
break
new *= int(str[j],10)
j+=1
if new > max:
max = new
i+=1
print(max)
|
[
"omiroshn@e3r7p7.unit.ua"
] |
omiroshn@e3r7p7.unit.ua
|
12444cb7e47305bf4db4235d9626ee2b73e2079a
|
ded10c2f2f5f91c44ec950237a59225e8486abd8
|
/.history/2/path_integral_naive_sampling_20200423233542.py
|
b970e8822162b2391f5669c343fb95a05a7aecf9
|
[] |
no_license
|
jearistiz/Statistical-Physics-Projects
|
276a86407b32ded4e06b32efb2fadbd8eff8daed
|
d9c5b16a50856e148dc8604d92b6de3ea21fc552
|
refs/heads/master
| 2022-11-05T03:41:23.623050
| 2020-06-28T06:36:05
| 2020-06-28T06:36:05
| 254,909,897
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 6,845
|
py
|
# -*- coding: utf-8 -*-
from __future__ import division
import os
from time import time
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from matrix_squaring import (rho_free, harmonic_potential, anharmonic_potential,
QHO_canonical_ensemble, save_csv)
# Author: Juan Esteban Aristizabal-Zuluaga
# date: 202004151200
def path_naive_sampling( N_path=10, beta=4., N_iter=int(1e5), delta=0.5,
potential=harmonic_potential, potential_string='harmonic_potential',
append_every=1, save_paths_data=True, paths_file_name=None,
paths_relevant_info=None):
"""
Uso:
"""
dtau = beta/N_path
path_x = [0.] * N_path
pathss_x = [path_x[:]]
N_iter = int(N_iter)
t_0 = time()
for step in range(N_iter):
k = np.random.randint(0,N_path)
#Periodic boundary conditions
knext, kprev = (k+1) % N_path, (k-1) % N_path
x_new = path_x[k] + np.random.uniform(-delta,delta)
old_weight = (rho_free(path_x[kprev],path_x[k],dtau)
* np.exp(- dtau * potential(path_x[k]))
* rho_free(path_x[k],path_x[knext],dtau))
new_weight = (rho_free(path_x[kprev],x_new,dtau)
* np.exp(- dtau * potential(x_new))
* rho_free(x_new,path_x[knext],dtau))
# Decide si acepta proposición x_new para x[k]
if np.random.uniform(0,1) < new_weight/old_weight:
path_x[k] = x_new
if step%append_every == 0:
pathss_x.append(path_x[:])
t_1 = time()
print('Path integral naive sampling: %d iterations -> %.2E seconds'%(N_iter,t_1-t_0))
pathss_x = np.array(pathss_x)
script_dir = os.path.dirname(os.path.abspath(__file__))
if save_paths_data:
if paths_file_name is None:
paths_file_name = (
'pi_x-pi-%s-beta_%.3f-N_path_%d-N_iter_%d-delta_%.3f-append_every_%d.csv'
%(potential_string, beta, N_path, N_iter, delta, append_every)
)
paths_file_name = script_dir + '/' + paths_file_name
if paths_relevant_info is None:
paths_relevant_info = [
'All paths generated by path_integral_naive_sampling.py each row is a path',
'%s beta = %.3f N_path = %d N_iter = %d delta = %.3f'
%(potential_string, beta, N_path, N_iter, delta)
]
#Tamaño en memoria es menor y no afecta los cálculos en casos armónico y anarmónico
pathss_x = np.round(pathss_x,5)
save_csv(pathss_x, None, None, paths_file_name, paths_relevant_info)
return pathss_x
def figures_fn( pathss_x, beta = 4 , N_plot = 201, x_max = 3, N_iter=int(1e5), append_every=1,
N_beta_ticks = 11, msq_file='file.csv', file_name='path-plot-prueba',
show_theory=True, show_matrix_squaring=True, show_path=True,
show_compare_hist=True, show_complete_path_hist=True,
save_plot=True, show_plot=True):
pathss_x = np.array(pathss_x)
script_dir=os.path.dirname(os.path.abspath(__file__))
x_plot = np.linspace(-x_max,x_max,N_plot)
N_path = len(pathss_x[-1])
# Crea figura
fig, ax1 = plt.subplots()
# Grafica histograma, teórico y si se pide un camino aleatorio
ax1.set_xlabel(u'$x$')
ax1.set_ylabel(u'$\pi^{(Q)} (x;\\beta)$')
if show_theory:
lns1 = ax1.plot(x_plot,QHO_canonical_ensemble(x_plot,beta),label=u'Teórico')
if show_matrix_squaring:
msq_file = script_dir + '/' + msq_file
matrix_squaring_data = pd.read_csv(msq_file, index_col=0, comment='#')
lns2 = ax1.plot( matrix_squaring_data['position_x'],matrix_squaring_data['prob_density'],
label = u'Algoritmo Matrix\nSquaring')
lns3 = ax1.hist(pathss_x[:,0], bins=int(np.sqrt(N_iter/append_every)), normed=True,
label=u'Integral de camino\nnaive sampling',alpha=.40)
if show_compare_hist:
lns5 = ax1.hist(pathss_x[:,np.random.choice(np.arange(1,N_path))], bins=int(np.sqrt(N_iter/append_every)), normed=True,
label=u'Comparación hist. $x[k]$',alpha=.40)
if show_complete_path_hist:
pathss_x2 = pathss_x.copy()
pathss_x2 = pathss_x2.flatten()
lns6 = ax1.hist(pathss_x2, bins=int(np.sqrt(N_iter*N_path/append_every)), normed=True,
label=u'Comparación tomando\npath completo $\{x[k]\}_k$',alpha=.40)
ax1.tick_params(axis='y')
ax1.set_ylim(bottom=0)
ax1.set_xlim(-x_max,x_max)
if not show_path:
plt.legend(loc = 'best', fontsize=12)
if save_plot:
plt.savefig(script_dir+'/'+file_name)
if show_plot:
plt.show()
plt.close()
if show_path:
ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis
ax2.set_ylabel(u'$\\tau$') # we already handled the x-label with ax1
beta_plot = np.linspace(0,beta,N_path+1)
path_plot = list(pathss_x[-1])
path_plot.append(pathss_x[-1][0])
lns4 = ax2.plot(path_plot, beta_plot,'o-',c='k',label=u'Path')
ax2.tick_params(axis='y')
beta_ticks = np.linspace(0,beta,N_beta_ticks)
ax2.set_yticks(beta_ticks)
ax2.set_yticklabels(u'$%.2f$'%b for b in beta_ticks)
ax2.set_ylim(bottom=0)
ax2.set_xlim(-x_max,x_max)
# Parafernalia para agrgar labels correctamente cuando se usan dos ejes con
# escalas diferentes
if not show_theory:
lns1 = [0]
if not show_matrix_squaring:
lns2 = [0]
if not show_compare_hist:
lns5 = [0]
if not show_complete_path_hist:
lns6 = [0]
try:
lns3_test = [lns3[2][0]]
except:
lns3_test = [0]
try:
lns6_test = [lns6[2][0]]
except:
lns6_test = [0]
try:
lns5_test = [lns5[2][0]]
except:
lns5_test = [0]
leg_test = lns1 + lns2 + lns4 + lns3_test + lns6_test + lns5_test
labs = []
leg = []
for i,l in enumerate(leg_test):
try:
labs.append(l.get_label())
leg.append(leg_test[i])
except:
pass
ax1.legend(leg, labs, loc='best',title=u'$\\beta=%.2f$'%beta, fontsize=12)
fig.tight_layout() # otherwise the right y-label is slightly clipped
if save_plot:
plt.savefig(script_dir+'/'+file_name)
if show_plot:
plt.show()
plt.close()
return 0
|
[
"jeaz.git@gmail.com"
] |
jeaz.git@gmail.com
|
0e6e2846874fba66be0bcd6076ebea11c2ad25da
|
8d785cd8214d268e2245d91308c0e95328f21839
|
/Q7.py
|
4498f1acc957fe3f7536aae20b23d5609e89d8b4
|
[
"MIT"
] |
permissive
|
Naro-Usmany/CP19_38
|
9761f1b95dfc4e65cbb0a9099763f436872bc768
|
7a20cd2b8998552c7598f58b936375602158bc9c
|
refs/heads/master
| 2020-05-16T00:03:22.932324
| 2019-04-21T16:39:45
| 2019-04-21T16:39:45
| 182,570,201
| 0
| 0
|
MIT
| 2019-04-21T18:46:01
| 2019-04-21T18:46:01
| null |
UTF-8
|
Python
| false
| false
| 667
|
py
|
# Question No 7
test1=int(input("Enter Your Score For Test 1: "))
test2=int(input("Enter Your Score For Test 2: "))
Mainexam=int(input("Enter Your Score For The Main Exam: "))
Total_score=test1+test2+Mainexam
if test1>25 or test1<0:
print("Invalid Score")
elif test2>25 or test2<0:
print("Invalid Score")
elif Mainexam>50 or Mainexam<0:
print("Invalid Score")
if Mainexam<25:
print("Fail")
elif Total_score>80:
print("Distintion")
elif Total_score >=50 and Total_score<=59:
print("Pass")
elif Total_score >=60 and Total_score<=79:
print("Credit")
print("Total Score: ",Total_score)
|
[
"noreply@github.com"
] |
Naro-Usmany.noreply@github.com
|
c72a814645268eb02bfe3a429f935c65c23e5dae
|
ab124df80f241ee4634041a5110553c603a7c168
|
/flask_app/Env2/Interface.py
|
3dd543a46f3334479417a6053e0517c404669800
|
[] |
no_license
|
thibaultdalmon/RecommenderSystem
|
8a07b2f5a0ffff53a421d7a7b06c1837b2bd4417
|
9f2bad06ceb2451977873d77aa50e33b2f2fc518
|
refs/heads/master
| 2020-04-20T01:11:25.572272
| 2019-02-27T21:49:04
| 2019-02-27T21:49:04
| 168,538,659
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,626
|
py
|
import requests
class Interface:
def __init__(self, args):
self.base_url = 'http://{}'.format(args.ip_address_env_2)
self.user_id = args.user_id
self.url_reset = '{}/reset'.format(self.base_url)
self.url_predict = '{}/predict'.format(self.base_url)
r = requests.get(url=self.url_reset, params={'user_id': self.user_id})
data = r.json()
self.state_history = data['state_history']
self.rewards_history = data['rewards_history']
self.action_history = data['action_history']
self.nb_items = data['nb_items']
self.nb_users = data['nb_users']
self.nb_variables = len(self.state_history[0][0]) - 2
self.next_state = data['next_state']
def reset(self):
r = requests.get(url=self.url_reset, params={'user_id': self.user_id})
data = r.json()
self.state_history = data['state_history']
self.rewards_history = data['rewards_history']
self.action_history = data['action_history']
self.nb_items = data['nb_items']
self.nb_users = data['nb_users']
self.next_state = data['next_state']
def request(self, predicted_score):
params = {}
params['user_id'] = self.user_id
params['predicted_score'] = predicted_score
r = requests.get(url=self.url_predict, params=params)
result = r.json()
next_user = result['next_user']
next_item = result['next_item']
next_variables = result['next_variables']
rating = result['rating']
return next_user, next_item, next_variables, rating
|
[
"emmanuel.goutierre@mac.com"
] |
emmanuel.goutierre@mac.com
|
6ae1e56592fc2dca20e0176f1a5fd7319474f14d
|
fd105ff97d48b09c2624f21c350881e3879abb5c
|
/dj_oydiv/admin/vidyoadmin.py
|
a5342b6b2c97730ffb6edd29a8eeba156a8775cd
|
[
"BSD-3-Clause"
] |
permissive
|
lowks/dj-oydiv
|
e3406a13de6a46ff0e0e987826719b49039792fa
|
b8cca24462745d5ac5ec7ad05e06dbab73a05e66
|
refs/heads/master
| 2020-12-01T02:58:07.482114
| 2015-11-28T16:54:36
| 2015-11-28T16:54:36
| 47,873,863
| 0
| 0
| null | 2015-12-12T10:27:33
| 2015-12-12T10:27:33
| null |
UTF-8
|
Python
| false
| false
| 8,749
|
py
|
from __future__ import absolute_import, unicode_literals
from django.contrib.admin import ModelAdmin, TabularInline
from django.core.exceptions import ValidationError, PermissionDenied, SuspiciousOperation
from django.core.validators import URLValidator, validate_ipv46_address, RegexValidator
from django import forms
from django.utils.translation import ugettext as _
from django.utils.encoding import python_2_unicode_compatible
from ..models import VidyoAdmin, IPModel
HostnameValidator = RegexValidator(URLValidator.host_re, message=_("Enter a valid hostname"))
#ASSUMPTIONS
#FIXME
# This code assumes that the VidyoAdmin object being edited is the
# same as request.user._dj_auth_user.
@python_2_unicode_compatible
class IPModelInline(TabularInline):
"""Whitelist IP address"""
verbose_name_plural = _("Whitelisted hosts")
verbose_name = _("IP address")
model = IPModel
extra = 1
fk_name = '_admin_model'
def clean(self, *args, **kwargs):
self.model.clean(*args, **kwargs)
def __str__(self):
return _("Whitelist IP address")
class VidyoAdminForm(forms.ModelForm):
"""
Custom form for the VidyoAdmin model with additional fields
to allow the user to change their password.
"""
class Meta:
model = VidyoAdmin
exclude = ()
# Additional form fields which are on this form but not on the model
current_admin_password = forms.CharField(
widget=forms.PasswordInput(),
error_messages={'current_admin_password': 'Please enter password'},
required=False,
help_text=_("This is the current password of the <b>assigned owner</b>")
)
portal_password = forms.CharField(widget=forms.PasswordInput(), required=False)
confirm_portal_password = forms.CharField(widget=forms.PasswordInput(), required=False)
cdr_password = forms.CharField(widget=forms.PasswordInput(), required=False)
def _clean_hostname_field(self, field_name):
host = self.cleaned_data[field_name].strip()
HostnameValidator(host)
return host
def clean_portal_host(self):
return self._clean_hostname_field('portal_host')
def clean_cdr_host(self):
return self._clean_hostname_field('cdr_host')
def clean_replay_host(self):
return self._clean_hostname_field('replay_host')
def clean(self, *args, **kwargs):
"""
Make sure that if the user is changing their password that the old
password is correct and that the 2 copies of the new one match.
"""
errs = list()
data = super(VidyoAdminForm, self).clean(*args, **kwargs)
# .get() because the field isn't always on the model
current_admin_password = data.get('current_admin_password')
if self.instance.pk:
try:
self.instance.decrypt(current_admin_password)
except ValueError:
errs.append(
ValidationError(
_("Password is incorrect."),
code='current_admin_password',
params={'current_admin_password': ''}
)
)
else:
if 'portal_password' not in self.changed_data or not len(data.get('portal_password')):
errs.append(
ValidationError(
_("The portal password is required to create the model."),
code='portal_password',
params={'portal_password': ''}
)
)
# Changing assigments is not allowed after instantiation.
# If the POST data contains this field, then someone is doing something they shouldn't
if self.instance.pk and 'dj_auth_user' in data:
raise SuspiciousOperation(
_("An attempt to modify an existing ForeignKey dj_auth_user was detected")
)
user = data.get('dj_auth_user')
if not user and not self.instance.pk:
errs.append(
ValidationError(
_("You must assign a user"),
code='dj_auth_user',
params={'dj_auth_user': ''})
)
if 'portal_password' in self.changed_data or 'confirm_portal_password' in self.changed_data:
if current_admin_password:
user = user or self.instance.dj_auth_user
if not user.check_password(current_admin_password):
errs.append(
ValidationError(
_("Password is incorrect."),
code='current_admin_password',
params={'current_admin_password': ''}
)
)
portal_password = data['portal_password']
confirm_portal_password = data['confirm_portal_password']
if portal_password != confirm_portal_password:
errs.append(
ValidationError(
_("Passwords do not match."),
code='confirm_portal_password',
params={'confirm_portal_password': ''}
)
)
else:
errs.append(ValidationError(
_("Password required"),
code='current_admin_password',
params={'current_admin_password': ''})
)
if len(errs):
raise ValidationError(errs)
return self.cleaned_data
class VidyoAdminAdmin(ModelAdmin):
"""
Custom ModelAdmin class which overrides things to allow the user to
change their password while editing a VidyoAdmin object.
"""
form = VidyoAdminForm
inlines = (IPModelInline,)
list_display = ('portal_user',
'portal_host',
'replay_host',
'portal_prefix',
'ssl',
'use_ip_auth',
'user_count',
)
search_fields = ['portal_user']
fieldsets = (
(
None,
{
'fields': (
'dj_auth_user',
'portal_host',
'portal_user',
'portal_prefix',
'ssl',
'use_ip_auth',
'user_proxy',
'user_group',
'user_location_tag',
'replay_host',
)
}
),
(
_("Call Detail Records options"),
{
'classes': ('collapse',),
'fields': (
'cdr_enabled',
'cdr_port',
'cdr_host',
'cdr_user',
'cdr_password',
)
}
),
(
_("Portal API user password"),
{
'fields': (
'portal_password',
'confirm_portal_password',
)
}
),
(_("Confirmation"), {'fields': ('current_admin_password',)}),
)
def get_readonly_fields(self, request, obj=None):
if obj is not None and obj.pk:
return ['dj_auth_user']
return list()
def save_model(self, request, obj, form, change):
"""
Override this method to do the password changing as well as the
normal object saving.
"""
if change:
if not self.has_change_permission(request):
raise PermissionDenied()
if obj.pk is None:
if not self.has_add_permission(request):
raise PermissionDenied()
if form.cleaned_data.get('current_admin_password'):
current_admin_password = form.cleaned_data['current_admin_password']
portal_password = form.cleaned_data['portal_password']
# If current_admin_password is set and we've got to here then the
# we just need to check whether we're interested in updating the password.
# If not, we still have to decrypt the admin object
if portal_password:
if change:
obj.change_password(current_admin_password, portal_password)
else:
obj.set_password(current_admin_password, portal_password)
else:
obj.decrypt(current_admin_password)
obj.save()
return super(VidyoAdminAdmin, self).save_model(request, obj, form, change)
|
[
"ilias@debian"
] |
ilias@debian
|
0928bd0efa78ee2cfad0e764ddb3cfd8979eb0b4
|
83fa4c66b49c4915115c88c4f78d1141dc47a54c
|
/dcosdev/oper/tests/init_py.py
|
47c89d0afdd600298a69bf12356ea749f3a70fc3
|
[
"Apache-2.0"
] |
permissive
|
mesosphere/dcosdev
|
65a40e0b5f9ee63dc0af67474166652132ac51c3
|
7281d7d26b22bd500ae4ac5d0fc6550cb1098c1d
|
refs/heads/master
| 2023-06-07T09:44:23.937857
| 2019-01-24T03:14:38
| 2019-01-24T03:14:38
| 137,130,989
| 10
| 7
|
Apache-2.0
| 2021-08-10T18:40:52
| 2018-06-12T21:42:55
|
Python
|
UTF-8
|
Python
| false
| false
| 216
|
py
|
template = """
import sys
import os.path
# Add /testing/ to PYTHONPATH:
this_file_dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.normpath(os.path.join(this_file_dir, '..', 'testing')))
"""
|
[
"michael.beisiegel@gmail.com"
] |
michael.beisiegel@gmail.com
|
65401664b06a93b095a28cc96b9e0bfc736e4c62
|
61c5150c9c11c013460ec8386b3fd1c4196e632c
|
/src/generate_config.py
|
9a2fdeac22f9fe3b76843d2e9e2bd83c99fff43d
|
[
"MIT"
] |
permissive
|
mbailleu/avocado
|
73e10151204e8ccdff202f914de55c721f5d624a
|
6b835f580671412be975fea70b8d1890cdd8e399
|
refs/heads/main
| 2023-07-30T23:27:59.498506
| 2021-09-20T14:19:56
| 2021-09-20T14:19:56
| 363,992,538
| 16
| 2
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,736
|
py
|
#! /usr/bin/env python3
import sys
import socket
import argparse
from typing import List
config_str = "-n {threads}\n" \
"-u {ip}:{port}\n" \
"-p {phys}\n" \
"-k {n_keys}\n" \
"-v {max_vsz}\n"
replica_str = "\n-a {ip}:{port}:{threads}"
known_svr = {
"rose" : "129.215.165.52",
"martha" : "129.215.165.53",
"donna" : "129.215.165.54",
"amy" : "129.215.165.57",
"clara" : "129.215.165.58",
}
def get_host_name(server: str) -> str:
res = socket.gethostbyname(server)
if (res != "127.0.0.1"):
return res
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("8.8.8.8", 80))
res = s.getsockname()[0]
s.close()
return res
def get_ip(server: str) -> str:
res = known_svr.get(server, None)
if res != None:
return res
res = get_host_name(server)
known_svr[server] = res
return res
def generate_str(i: int, args) -> str:
res = config_str.format(threads = args.threads, ip = get_ip(args.servers[i]), port = args.port, phys = args.phys_port, n_keys = args.number_of_distinct_keys, max_vsz = args.max_value_size, output = "out_{}".format(args.servers[i]))
res += args.dump_config
for j in range(len(args.servers)):
if j == i:
continue
res += replica_str.format(ip = get_ip(args.servers[j]), port = args.port, threads = args.threads)
return res
def main(args: List[str]):
parser = argparse.ArgumentParser(description="Generates configs for avocado setups")
parser.add_argument('-p', "--port", type = int, default = 31850, help = "set the port on which the server should run (currently only supports the same port for all servers)")
parser.add_argument('-t', "--threads", type = int, required = True, help = "set the number of threads the server should run (currently only supports the same number of threads for all servers)")
parser.add_argument('-k', "--number-of-distinct-keys", type = int, required = True, help = "set the number of distinct keys to be used in the in memory kv")
parser.add_argument('-vsz', "--max-value-size", type = int, required = True, help = "set the maximum value size")
parser.add_argument("--phys-port", type = int, default = 0, help = "set the physical port")
parser.add_argument("servers", type = str, nargs = '+', help = "list of server the config should be written for")
parser.add_argument("-d", "--dump-config", action="store_const", const = "--dump-config\n", default="", help="dump config at start of application")
args = parser.parse_args(args[1:])
for i in range(len(args.servers)):
with open("config-{}".format(args.servers[i]), "w") as f:
print(generate_str(i, args), file = f)
if __name__ == "__main__":
main(sys.argv)
|
[
"M.Bailleu@web.de"
] |
M.Bailleu@web.de
|
6b00f9aecb7845cf2e63a7bf2f43e65bb2b96572
|
f78572ce42d800147396308943e346d32c011601
|
/sss_object_detection/scripts/sim_sss_detection_publisher_old.py
|
2e8a3ab682af1d31cf1a1427b97ed939ed053cc5
|
[
"BSD-3-Clause"
] |
permissive
|
ShounakCy/smarc_perception
|
83f579bb4fe1aa4b6b19f261f8f547ec81d4c2dd
|
37de967be6246dbfd588608d7cbf77112c785ed3
|
refs/heads/noetic-devel
| 2023-08-18T19:41:46.019355
| 2021-10-14T12:15:21
| 2021-10-14T12:15:21
| 408,851,791
| 0
| 0
|
BSD-3-Clause
| 2021-09-21T14:25:51
| 2021-09-21T14:25:48
| null |
UTF-8
|
Python
| false
| false
| 10,434
|
py
|
#!/usr/bin/env python
import rospy
import numpy as np
import tf
from nav_msgs.msg import Odometry
from vision_msgs.msg import ObjectHypothesisWithPose, Detection2DArray, Detection2D
from visualization_msgs.msg import Marker, MarkerArray
from std_msgs.msg import ColorRGBA
from geometry_msgs.msg import PoseStamped, PointStamped
from tf.transformations import euler_from_quaternion
import copy
import math
import sys
class sim_sss_detector:
"""A mock SSS object detector for simulation. Only objects within the
detection_range of the vehicle will be detectable."""
def __init__(self,
robot_name,
detection_range=8,
buoy_radius=0.20,
noise_sigma=.1):
self.robot_name = robot_name
self.detection_range = detection_range
self.buoy_radius = buoy_radius
self.noise_sigma = noise_sigma
self.prev_pose = None
self.current_pose = None
self.yaw = None
self.frame_id = None
self.stamp = rospy.Time.now()
self.marked_positions = {}
self.tf_listener = tf.TransformListener()
self.odom_sub = rospy.Subscriber('/{}/dr/odom'.format(robot_name), Odometry,
self._update_pose)
self.marked_pos_sub = rospy.Subscriber(
'/{}/sim/marked_positions'.format(robot_name), MarkerArray,
self._update_marked_positions)
self.pub = rospy.Publisher(
'/{}/sim/sidescan/detection_hypothesis'.format(robot_name),
Detection2DArray,
queue_size=2)
self.pub_detected_markers = rospy.Publisher(
'/{}/sim/sidescan/detected_markers'.format(robot_name),
Marker,
queue_size=2)
def _update_marked_positions(self, msg):
"""Update marked_positions based on the MarkerArray msg received."""
if len(self.marked_positions) > 0:
return
for marker in msg.markers:
self.marked_positions['{}/{}'.format(marker.ns, marker.id)] = marker
print(
'There are {} number of marked positions'.format(len(self.marked_positions))
)
def _update_pose(self, msg):
"""Update prev_pose and current_pose according to the odom msg received"""
if not self.prev_pose:
self.prev_pose = msg.pose.pose
self.current_pose = msg.pose.pose
self.stamp = msg.header.stamp
self.frame_id = msg.header.frame_id
self.prev_pose = self.current_pose
self.current_pose = msg.pose.pose
markers_in_range = self.get_markers_in_detection_range()
heading = self.calculate_heading()
for marker in markers_in_range:
cos_sim = self.calculate_marker_cosine_angle(heading, marker)
print >>sys.stderr, 'cos_sim = "%s"' % cos_sim
detectable = cos_sim <= self.buoy_radius
if detectable:
print('\t{} is within detection angle! Cos = {}'.format(marker, cos_sim))
print >>sys.stderr, 'Detected'
self._publish_marker_detection(self.marked_positions[marker],
cos_sim)
def _publish_marker_detection(self, marker, cos_sim):
"""Publish detected marker"""
distance = self._get_distance_to_marker(marker)
object_hypothesis = ObjectHypothesisWithPose()
object_hypothesis.id = 1
# the higher the cos_sim (further away from 90 degree angle between current_pose
# and the marker), the lower the score
object_hypothesis.score = (-cos_sim + (self.buoy_radius * 2)) / (
self.buoy_radius * 2)
marker_transformed = self._wait_for_marker_transform(marker)
object_hypothesis.pose.pose = marker_transformed.pose
# Add random noise to pose of object
object_hypothesis.pose.pose.position.x += np.random.randn(
) * self.noise_sigma
object_hypothesis.pose.pose.position.y += np.random.randn(
) * self.noise_sigma
object_hypothesis.pose.pose.position.z += np.random.randn(
) * self.noise_sigma
object_hypothesis.pose.pose.orientation.x += np.random.randn(
) * self.noise_sigma
object_hypothesis.pose.pose.orientation.y += np.random.randn(
) * self.noise_sigma
object_hypothesis.pose.pose.orientation.z += np.random.randn(
) * self.noise_sigma
object_hypothesis.pose.pose.orientation.w += np.random.randn(
) * self.noise_sigma
# Wrap ObjectHypothesisWithPose msg into Detection2D msg
detection_msg = Detection2D()
detection_msg.header.frame_id = self.frame_id
detection_msg.header.stamp = rospy.Time.now()
detection_msg.results.append(object_hypothesis)
# Wrap Detection2D msg into Detection2DArray msg
detection_array_msg = Detection2DArray()
detection_array_msg.header = detection_msg.header
detection_array_msg.detections.append(detection_msg)
self.pub.publish(detection_array_msg)
# Publish detection as a Marker for visualization in rviz
detected_marker = copy.deepcopy(marker)
detected_marker.header.stamp = rospy.Time.now()
detected_marker.ns = 'detected_{}'.format(detected_marker.ns)
detected_marker.color = ColorRGBA(0, 1, 0, 1)
detected_marker.lifetime.secs = 1
self.pub_detected_markers.publish(detected_marker)
def _get_position_differences(self, position1, position2):
dx = position1.x - position2.x
dy = position1.y - position2.y
dz = position1.z - position2.z
return dx, dy, dz
def _normalize_vector(self, position_array):
"""Given an np.ndarray, return the normalized equivalent"""
norm = np.linalg.norm(position_array)
if norm > 0:
position_array = position_array / norm
return position_array
def calculate_heading(self):
"""Calculate a normalized heading vector using current orientation"""
quaternion = self.current_pose.orientation
(_, pitch, yaw) = euler_from_quaternion(
[quaternion.x, quaternion.y, quaternion.z, quaternion.w])
heading = np.array([
math.cos(yaw) * math.cos(pitch),
math.sin(yaw) * math.cos(pitch),
math.sin(pitch)
]).reshape(-1, 1)
heading = self._normalize_vector(heading)
return heading
def _calculate_distance_to_position(self, position):
"""Calculate the distance between current_pose.position and the given position"""
dx, dy, dz = self._get_position_differences(position,
self.current_pose.position)
return (dx**2 + dy**2 + dz**2)**.5
def _get_vec_to_position(self, position, normalized=True):
"""Return vector from current_pose.position to the given position"""
dx, dy, dz = self._get_position_differences(position,
self.current_pose.position)
vec_to_position = np.array([dx, dy, dz]).reshape(-1, 1)
if normalized:
vec_to_position = self._normalize_vector(
position_array=vec_to_position)
return vec_to_position
def _construct_pose_stamped_from_marker_msg(self, marker):
marker_pose_stamped = PoseStamped()
marker_pose_stamped.pose = marker.pose
marker_pose_stamped.header.stamp = self.stamp
marker_pose_stamped.header.frame_id = marker.header.frame_id
return marker_pose_stamped
def _wait_for_marker_transform(self, marker):
marker_pose_stamped = self._construct_pose_stamped_from_marker_msg(
marker)
self.tf_listener.waitForTransform(marker_pose_stamped.header.frame_id,
self.frame_id, rospy.Time(),
rospy.Duration(1.0))
marker_transformed = self.tf_listener.transformPose(
self.frame_id, marker_pose_stamped)
return marker_transformed
def _get_distance_to_marker(self, marker):
"""Return distance from the marker to current_pose"""
marker_transformed = self._wait_for_marker_transform(marker)
distance = self._calculate_distance_to_position(
marker_transformed.pose.position)
return distance
def get_markers_in_detection_range(self):
"""Returns a list of markers within detection_range relative to
self.current_pose"""
markers_in_range = []
for marker_name, marker in self.marked_positions.items():
distance = self._get_distance_to_marker(marker)
if distance < self.detection_range:
markers_in_range.append(marker_name)
return markers_in_range
def calculate_marker_cosine_angle(self, heading, marker):
"""Calculate the cosine between the heading and the marker position.
Used to determine whether the marker is observable:
A marker is observable if the magnitude of the projection of the vector
from self.current_pose.position onto the heading vector <= the marker's radius."""
marker_transformed = self._wait_for_marker_transform(
self.marked_positions[marker])
vec_to_marker_position = self._get_vec_to_position(
marker_transformed.pose.position, normalized=True)
cos_heading_marker = np.dot(heading.reshape(1, -1),
vec_to_marker_position.reshape(-1,
1))[0][0]
return abs(cos_heading_marker)
def main():
rospy.init_node('sim_sss_detection_publisher', anonymous=True)
rospy.Rate(5) # ROS Rate at 5Hz
robot_name_param = '~robot_name'
if rospy.has_param(robot_name_param):
robot_name = rospy.get_param(robot_name_param)
print('Getting robot_name = {} from param server'.format(robot_name))
else:
robot_name = 'sam'
print('{} param not found in param server.\n'.format(robot_name_param))
print('Setting robot_name = {} default value.'.format(robot_name))
detector = sim_sss_detector(robot_name=robot_name)
while not rospy.is_shutdown():
rospy.spin()
if __name__ == '__main__':
main()
|
[
"shounakcy@gmail.com"
] |
shounakcy@gmail.com
|
644bdf18c3278dfbb6513ced1fa8d8f9ea13799d
|
dd1c8bfb7def81e356832d117d69d818d07570c0
|
/assignment1/cs231n/classifiers/test.py
|
fa87d17598fce3c629b56dd9cf0ed7793875e0eb
|
[] |
no_license
|
Wafaaismail/Cs231n
|
a6e70161819da6d545239480589991c066036663
|
e8f416cfb7c596f0e089a0dfa54378da9f06ee51
|
refs/heads/master
| 2020-06-24T08:31:47.520922
| 2019-07-29T21:16:58
| 2019-07-29T21:16:58
| 198,914,990
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 191
|
py
|
print("hello")
from cs231n.data_utils import load_CIFAR10
#---------------------read data----------------------------------------------#
xtr,ytr,xte,yte = load_CIFAR10('datasets/cifar-10/')
|
[
"wafaaismail595@gmail.com"
] |
wafaaismail595@gmail.com
|
e08abba05c648cd743d8e27e42efb77e4e23b760
|
a2058795324905f3c44e0f78bad6d61b19b7242b
|
/whatsappReader/whatsappReader/wsgi.py
|
8f68b44dadb367c112c8d4d60ac5fb1704071a3f
|
[] |
no_license
|
tanvi-surana/whatsapp-reader
|
5564470d8e4c25079810c08a7782dcb0a9313b7a
|
5f21691f95b200105f719a4319fff0c926233f94
|
refs/heads/master
| 2021-07-11T20:40:30.235462
| 2016-10-15T10:40:23
| 2016-10-15T10:40:23
| 56,430,296
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 405
|
py
|
"""
WSGI config for whatsappReader project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "whatsappReader.settings")
application = get_wsgi_application()
|
[
"tanvisurana20@gmail.com"
] |
tanvisurana20@gmail.com
|
6a49b8bc19060826a3fe80ad6adef0f097d97029
|
e4ec5b6cf3cfe2568ef0b5654c019e398b4ecc67
|
/azure-cli/2.0.18/libexec/lib/python3.6/site-packages/azure/batch/operations/job_schedule_operations.py
|
36694469bf92effa151f16897e33916ae7600f2c
|
[] |
no_license
|
EnjoyLifeFund/macHighSierra-cellars
|
59051e496ed0e68d14e0d5d91367a2c92c95e1fb
|
49a477d42f081e52f4c5bdd39535156a2df52d09
|
refs/heads/master
| 2022-12-25T19:28:29.992466
| 2017-10-10T13:00:08
| 2017-10-10T13:00:08
| 96,081,471
| 3
| 1
| null | 2022-12-17T02:26:21
| 2017-07-03T07:17:34
| null |
UTF-8
|
Python
| false
| false
| 54,625
|
py
|
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.pipeline import ClientRawResponse
import uuid
from .. import models
class JobScheduleOperations(object):
"""JobScheduleOperations operations.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An objec model deserializer.
:ivar api_version: Client API Version. Constant value: "2017-06-01.5.1".
"""
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self.api_version = "2017-06-01.5.1"
self.config = config
def exists(
self, job_schedule_id, job_schedule_exists_options=None, custom_headers=None, raw=False, **operation_config):
"""Checks the specified job schedule exists.
:param job_schedule_id: The ID of the job schedule which you want to
check.
:type job_schedule_id: str
:param job_schedule_exists_options: Additional parameters for the
operation
:type job_schedule_exists_options: :class:`JobScheduleExistsOptions
<azure.batch.models.JobScheduleExistsOptions>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: bool
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`BatchErrorException<azure.batch.models.BatchErrorException>`
"""
timeout = None
if job_schedule_exists_options is not None:
timeout = job_schedule_exists_options.timeout
client_request_id = None
if job_schedule_exists_options is not None:
client_request_id = job_schedule_exists_options.client_request_id
return_client_request_id = None
if job_schedule_exists_options is not None:
return_client_request_id = job_schedule_exists_options.return_client_request_id
ocp_date = None
if job_schedule_exists_options is not None:
ocp_date = job_schedule_exists_options.ocp_date
if_match = None
if job_schedule_exists_options is not None:
if_match = job_schedule_exists_options.if_match
if_none_match = None
if job_schedule_exists_options is not None:
if_none_match = job_schedule_exists_options.if_none_match
if_modified_since = None
if job_schedule_exists_options is not None:
if_modified_since = job_schedule_exists_options.if_modified_since
if_unmodified_since = None
if job_schedule_exists_options is not None:
if_unmodified_since = job_schedule_exists_options.if_unmodified_since
# Construct URL
url = '/jobschedules/{jobScheduleId}'
path_format_arguments = {
'jobScheduleId': self._serialize.url("job_schedule_id", job_schedule_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if timeout is not None:
query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
if client_request_id is not None:
header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
if return_client_request_id is not None:
header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
if ocp_date is not None:
header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
if if_none_match is not None:
header_parameters['If-None-Match'] = self._serialize.header("if_none_match", if_none_match, 'str')
if if_modified_since is not None:
header_parameters['If-Modified-Since'] = self._serialize.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
header_parameters['If-Unmodified-Since'] = self._serialize.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
# Construct and send request
request = self._client.head(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200, 404]:
raise models.BatchErrorException(self._deserialize, response)
deserialized = (response.status_code == 200)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
client_raw_response.add_headers({
'client-request-id': 'str',
'request-id': 'str',
'ETag': 'str',
'Last-Modified': 'rfc-1123',
})
return client_raw_response
return deserialized
def delete(
self, job_schedule_id, job_schedule_delete_options=None, custom_headers=None, raw=False, **operation_config):
"""Deletes a job schedule from the specified account.
When you delete a job schedule, this also deletes all jobs and tasks
under that schedule. When tasks are deleted, all the files in their
working directories on the compute nodes are also deleted (the
retention period is ignored). The job schedule statistics are no longer
accessible once the job schedule is deleted, though they are still
counted towards account lifetime statistics.
:param job_schedule_id: The ID of the job schedule to delete.
:type job_schedule_id: str
:param job_schedule_delete_options: Additional parameters for the
operation
:type job_schedule_delete_options: :class:`JobScheduleDeleteOptions
<azure.batch.models.JobScheduleDeleteOptions>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`BatchErrorException<azure.batch.models.BatchErrorException>`
"""
timeout = None
if job_schedule_delete_options is not None:
timeout = job_schedule_delete_options.timeout
client_request_id = None
if job_schedule_delete_options is not None:
client_request_id = job_schedule_delete_options.client_request_id
return_client_request_id = None
if job_schedule_delete_options is not None:
return_client_request_id = job_schedule_delete_options.return_client_request_id
ocp_date = None
if job_schedule_delete_options is not None:
ocp_date = job_schedule_delete_options.ocp_date
if_match = None
if job_schedule_delete_options is not None:
if_match = job_schedule_delete_options.if_match
if_none_match = None
if job_schedule_delete_options is not None:
if_none_match = job_schedule_delete_options.if_none_match
if_modified_since = None
if job_schedule_delete_options is not None:
if_modified_since = job_schedule_delete_options.if_modified_since
if_unmodified_since = None
if job_schedule_delete_options is not None:
if_unmodified_since = job_schedule_delete_options.if_unmodified_since
# Construct URL
url = '/jobschedules/{jobScheduleId}'
path_format_arguments = {
'jobScheduleId': self._serialize.url("job_schedule_id", job_schedule_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if timeout is not None:
query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
if client_request_id is not None:
header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
if return_client_request_id is not None:
header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
if ocp_date is not None:
header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
if if_none_match is not None:
header_parameters['If-None-Match'] = self._serialize.header("if_none_match", if_none_match, 'str')
if if_modified_since is not None:
header_parameters['If-Modified-Since'] = self._serialize.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
header_parameters['If-Unmodified-Since'] = self._serialize.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [202]:
raise models.BatchErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'client-request-id': 'str',
'request-id': 'str',
})
return client_raw_response
def get(
self, job_schedule_id, job_schedule_get_options=None, custom_headers=None, raw=False, **operation_config):
"""Gets information about the specified job schedule.
:param job_schedule_id: The ID of the job schedule to get.
:type job_schedule_id: str
:param job_schedule_get_options: Additional parameters for the
operation
:type job_schedule_get_options: :class:`JobScheduleGetOptions
<azure.batch.models.JobScheduleGetOptions>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CloudJobSchedule
<azure.batch.models.CloudJobSchedule>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`BatchErrorException<azure.batch.models.BatchErrorException>`
"""
select = None
if job_schedule_get_options is not None:
select = job_schedule_get_options.select
expand = None
if job_schedule_get_options is not None:
expand = job_schedule_get_options.expand
timeout = None
if job_schedule_get_options is not None:
timeout = job_schedule_get_options.timeout
client_request_id = None
if job_schedule_get_options is not None:
client_request_id = job_schedule_get_options.client_request_id
return_client_request_id = None
if job_schedule_get_options is not None:
return_client_request_id = job_schedule_get_options.return_client_request_id
ocp_date = None
if job_schedule_get_options is not None:
ocp_date = job_schedule_get_options.ocp_date
if_match = None
if job_schedule_get_options is not None:
if_match = job_schedule_get_options.if_match
if_none_match = None
if job_schedule_get_options is not None:
if_none_match = job_schedule_get_options.if_none_match
if_modified_since = None
if job_schedule_get_options is not None:
if_modified_since = job_schedule_get_options.if_modified_since
if_unmodified_since = None
if job_schedule_get_options is not None:
if_unmodified_since = job_schedule_get_options.if_unmodified_since
# Construct URL
url = '/jobschedules/{jobScheduleId}'
path_format_arguments = {
'jobScheduleId': self._serialize.url("job_schedule_id", job_schedule_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, 'str')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, 'str')
if timeout is not None:
query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
if client_request_id is not None:
header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
if return_client_request_id is not None:
header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
if ocp_date is not None:
header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
if if_none_match is not None:
header_parameters['If-None-Match'] = self._serialize.header("if_none_match", if_none_match, 'str')
if if_modified_since is not None:
header_parameters['If-Modified-Since'] = self._serialize.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
header_parameters['If-Unmodified-Since'] = self._serialize.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.BatchErrorException(self._deserialize, response)
deserialized = None
header_dict = {}
if response.status_code == 200:
deserialized = self._deserialize('CloudJobSchedule', response)
header_dict = {
'client-request-id': 'str',
'request-id': 'str',
'ETag': 'str',
'Last-Modified': 'rfc-1123',
}
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
client_raw_response.add_headers(header_dict)
return client_raw_response
return deserialized
def patch(
self, job_schedule_id, job_schedule_patch_parameter, job_schedule_patch_options=None, custom_headers=None, raw=False, **operation_config):
"""Updates the properties of the specified job schedule.
This replaces only the job schedule properties specified in the
request. For example, if the schedule property is not specified with
this request, then the Batch service will keep the existing schedule.
Changes to a job schedule only impact jobs created by the schedule
after the update has taken place; currently running jobs are
unaffected.
:param job_schedule_id: The ID of the job schedule to update.
:type job_schedule_id: str
:param job_schedule_patch_parameter: The parameters for the request.
:type job_schedule_patch_parameter: :class:`JobSchedulePatchParameter
<azure.batch.models.JobSchedulePatchParameter>`
:param job_schedule_patch_options: Additional parameters for the
operation
:type job_schedule_patch_options: :class:`JobSchedulePatchOptions
<azure.batch.models.JobSchedulePatchOptions>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`BatchErrorException<azure.batch.models.BatchErrorException>`
"""
timeout = None
if job_schedule_patch_options is not None:
timeout = job_schedule_patch_options.timeout
client_request_id = None
if job_schedule_patch_options is not None:
client_request_id = job_schedule_patch_options.client_request_id
return_client_request_id = None
if job_schedule_patch_options is not None:
return_client_request_id = job_schedule_patch_options.return_client_request_id
ocp_date = None
if job_schedule_patch_options is not None:
ocp_date = job_schedule_patch_options.ocp_date
if_match = None
if job_schedule_patch_options is not None:
if_match = job_schedule_patch_options.if_match
if_none_match = None
if job_schedule_patch_options is not None:
if_none_match = job_schedule_patch_options.if_none_match
if_modified_since = None
if job_schedule_patch_options is not None:
if_modified_since = job_schedule_patch_options.if_modified_since
if_unmodified_since = None
if job_schedule_patch_options is not None:
if_unmodified_since = job_schedule_patch_options.if_unmodified_since
# Construct URL
url = '/jobschedules/{jobScheduleId}'
path_format_arguments = {
'jobScheduleId': self._serialize.url("job_schedule_id", job_schedule_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if timeout is not None:
query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
if client_request_id is not None:
header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
if return_client_request_id is not None:
header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
if ocp_date is not None:
header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
if if_none_match is not None:
header_parameters['If-None-Match'] = self._serialize.header("if_none_match", if_none_match, 'str')
if if_modified_since is not None:
header_parameters['If-Modified-Since'] = self._serialize.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
header_parameters['If-Unmodified-Since'] = self._serialize.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
# Construct body
body_content = self._serialize.body(job_schedule_patch_parameter, 'JobSchedulePatchParameter')
# Construct and send request
request = self._client.patch(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.BatchErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'client-request-id': 'str',
'request-id': 'str',
'ETag': 'str',
'Last-Modified': 'rfc-1123',
'DataServiceId': 'str',
})
return client_raw_response
def update(
self, job_schedule_id, job_schedule_update_parameter, job_schedule_update_options=None, custom_headers=None, raw=False, **operation_config):
"""Updates the properties of the specified job schedule.
This fully replaces all the updateable properties of the job schedule.
For example, if the schedule property is not specified with this
request, then the Batch service will remove the existing schedule.
Changes to a job schedule only impact jobs created by the schedule
after the update has taken place; currently running jobs are
unaffected.
:param job_schedule_id: The ID of the job schedule to update.
:type job_schedule_id: str
:param job_schedule_update_parameter: The parameters for the request.
:type job_schedule_update_parameter:
:class:`JobScheduleUpdateParameter
<azure.batch.models.JobScheduleUpdateParameter>`
:param job_schedule_update_options: Additional parameters for the
operation
:type job_schedule_update_options: :class:`JobScheduleUpdateOptions
<azure.batch.models.JobScheduleUpdateOptions>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`BatchErrorException<azure.batch.models.BatchErrorException>`
"""
timeout = None
if job_schedule_update_options is not None:
timeout = job_schedule_update_options.timeout
client_request_id = None
if job_schedule_update_options is not None:
client_request_id = job_schedule_update_options.client_request_id
return_client_request_id = None
if job_schedule_update_options is not None:
return_client_request_id = job_schedule_update_options.return_client_request_id
ocp_date = None
if job_schedule_update_options is not None:
ocp_date = job_schedule_update_options.ocp_date
if_match = None
if job_schedule_update_options is not None:
if_match = job_schedule_update_options.if_match
if_none_match = None
if job_schedule_update_options is not None:
if_none_match = job_schedule_update_options.if_none_match
if_modified_since = None
if job_schedule_update_options is not None:
if_modified_since = job_schedule_update_options.if_modified_since
if_unmodified_since = None
if job_schedule_update_options is not None:
if_unmodified_since = job_schedule_update_options.if_unmodified_since
# Construct URL
url = '/jobschedules/{jobScheduleId}'
path_format_arguments = {
'jobScheduleId': self._serialize.url("job_schedule_id", job_schedule_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if timeout is not None:
query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
if client_request_id is not None:
header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
if return_client_request_id is not None:
header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
if ocp_date is not None:
header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
if if_none_match is not None:
header_parameters['If-None-Match'] = self._serialize.header("if_none_match", if_none_match, 'str')
if if_modified_since is not None:
header_parameters['If-Modified-Since'] = self._serialize.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
header_parameters['If-Unmodified-Since'] = self._serialize.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
# Construct body
body_content = self._serialize.body(job_schedule_update_parameter, 'JobScheduleUpdateParameter')
# Construct and send request
request = self._client.put(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [200]:
raise models.BatchErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'client-request-id': 'str',
'request-id': 'str',
'ETag': 'str',
'Last-Modified': 'rfc-1123',
'DataServiceId': 'str',
})
return client_raw_response
def disable(
self, job_schedule_id, job_schedule_disable_options=None, custom_headers=None, raw=False, **operation_config):
"""Disables a job schedule.
No new jobs will be created until the job schedule is enabled again.
:param job_schedule_id: The ID of the job schedule to disable.
:type job_schedule_id: str
:param job_schedule_disable_options: Additional parameters for the
operation
:type job_schedule_disable_options: :class:`JobScheduleDisableOptions
<azure.batch.models.JobScheduleDisableOptions>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`BatchErrorException<azure.batch.models.BatchErrorException>`
"""
timeout = None
if job_schedule_disable_options is not None:
timeout = job_schedule_disable_options.timeout
client_request_id = None
if job_schedule_disable_options is not None:
client_request_id = job_schedule_disable_options.client_request_id
return_client_request_id = None
if job_schedule_disable_options is not None:
return_client_request_id = job_schedule_disable_options.return_client_request_id
ocp_date = None
if job_schedule_disable_options is not None:
ocp_date = job_schedule_disable_options.ocp_date
if_match = None
if job_schedule_disable_options is not None:
if_match = job_schedule_disable_options.if_match
if_none_match = None
if job_schedule_disable_options is not None:
if_none_match = job_schedule_disable_options.if_none_match
if_modified_since = None
if job_schedule_disable_options is not None:
if_modified_since = job_schedule_disable_options.if_modified_since
if_unmodified_since = None
if job_schedule_disable_options is not None:
if_unmodified_since = job_schedule_disable_options.if_unmodified_since
# Construct URL
url = '/jobschedules/{jobScheduleId}/disable'
path_format_arguments = {
'jobScheduleId': self._serialize.url("job_schedule_id", job_schedule_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if timeout is not None:
query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
if client_request_id is not None:
header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
if return_client_request_id is not None:
header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
if ocp_date is not None:
header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
if if_none_match is not None:
header_parameters['If-None-Match'] = self._serialize.header("if_none_match", if_none_match, 'str')
if if_modified_since is not None:
header_parameters['If-Modified-Since'] = self._serialize.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
header_parameters['If-Unmodified-Since'] = self._serialize.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [204]:
raise models.BatchErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'client-request-id': 'str',
'request-id': 'str',
'ETag': 'str',
'Last-Modified': 'rfc-1123',
'DataServiceId': 'str',
})
return client_raw_response
def enable(
self, job_schedule_id, job_schedule_enable_options=None, custom_headers=None, raw=False, **operation_config):
"""Enables a job schedule.
:param job_schedule_id: The ID of the job schedule to enable.
:type job_schedule_id: str
:param job_schedule_enable_options: Additional parameters for the
operation
:type job_schedule_enable_options: :class:`JobScheduleEnableOptions
<azure.batch.models.JobScheduleEnableOptions>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`BatchErrorException<azure.batch.models.BatchErrorException>`
"""
timeout = None
if job_schedule_enable_options is not None:
timeout = job_schedule_enable_options.timeout
client_request_id = None
if job_schedule_enable_options is not None:
client_request_id = job_schedule_enable_options.client_request_id
return_client_request_id = None
if job_schedule_enable_options is not None:
return_client_request_id = job_schedule_enable_options.return_client_request_id
ocp_date = None
if job_schedule_enable_options is not None:
ocp_date = job_schedule_enable_options.ocp_date
if_match = None
if job_schedule_enable_options is not None:
if_match = job_schedule_enable_options.if_match
if_none_match = None
if job_schedule_enable_options is not None:
if_none_match = job_schedule_enable_options.if_none_match
if_modified_since = None
if job_schedule_enable_options is not None:
if_modified_since = job_schedule_enable_options.if_modified_since
if_unmodified_since = None
if job_schedule_enable_options is not None:
if_unmodified_since = job_schedule_enable_options.if_unmodified_since
# Construct URL
url = '/jobschedules/{jobScheduleId}/enable'
path_format_arguments = {
'jobScheduleId': self._serialize.url("job_schedule_id", job_schedule_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if timeout is not None:
query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
if client_request_id is not None:
header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
if return_client_request_id is not None:
header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
if ocp_date is not None:
header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
if if_none_match is not None:
header_parameters['If-None-Match'] = self._serialize.header("if_none_match", if_none_match, 'str')
if if_modified_since is not None:
header_parameters['If-Modified-Since'] = self._serialize.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
header_parameters['If-Unmodified-Since'] = self._serialize.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [204]:
raise models.BatchErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'client-request-id': 'str',
'request-id': 'str',
'ETag': 'str',
'Last-Modified': 'rfc-1123',
'DataServiceId': 'str',
})
return client_raw_response
def terminate(
self, job_schedule_id, job_schedule_terminate_options=None, custom_headers=None, raw=False, **operation_config):
"""Terminates a job schedule.
:param job_schedule_id: The ID of the job schedule to terminates.
:type job_schedule_id: str
:param job_schedule_terminate_options: Additional parameters for the
operation
:type job_schedule_terminate_options:
:class:`JobScheduleTerminateOptions
<azure.batch.models.JobScheduleTerminateOptions>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`BatchErrorException<azure.batch.models.BatchErrorException>`
"""
timeout = None
if job_schedule_terminate_options is not None:
timeout = job_schedule_terminate_options.timeout
client_request_id = None
if job_schedule_terminate_options is not None:
client_request_id = job_schedule_terminate_options.client_request_id
return_client_request_id = None
if job_schedule_terminate_options is not None:
return_client_request_id = job_schedule_terminate_options.return_client_request_id
ocp_date = None
if job_schedule_terminate_options is not None:
ocp_date = job_schedule_terminate_options.ocp_date
if_match = None
if job_schedule_terminate_options is not None:
if_match = job_schedule_terminate_options.if_match
if_none_match = None
if job_schedule_terminate_options is not None:
if_none_match = job_schedule_terminate_options.if_none_match
if_modified_since = None
if job_schedule_terminate_options is not None:
if_modified_since = job_schedule_terminate_options.if_modified_since
if_unmodified_since = None
if job_schedule_terminate_options is not None:
if_unmodified_since = job_schedule_terminate_options.if_unmodified_since
# Construct URL
url = '/jobschedules/{jobScheduleId}/terminate'
path_format_arguments = {
'jobScheduleId': self._serialize.url("job_schedule_id", job_schedule_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if timeout is not None:
query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
if client_request_id is not None:
header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
if return_client_request_id is not None:
header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
if ocp_date is not None:
header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
if if_none_match is not None:
header_parameters['If-None-Match'] = self._serialize.header("if_none_match", if_none_match, 'str')
if if_modified_since is not None:
header_parameters['If-Modified-Since'] = self._serialize.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
header_parameters['If-Unmodified-Since'] = self._serialize.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [202]:
raise models.BatchErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'client-request-id': 'str',
'request-id': 'str',
'ETag': 'str',
'Last-Modified': 'rfc-1123',
'DataServiceId': 'str',
})
return client_raw_response
def add(
self, cloud_job_schedule, job_schedule_add_options=None, custom_headers=None, raw=False, **operation_config):
"""Adds a job schedule to the specified account.
:param cloud_job_schedule: The job schedule to be added.
:type cloud_job_schedule: :class:`JobScheduleAddParameter
<azure.batch.models.JobScheduleAddParameter>`
:param job_schedule_add_options: Additional parameters for the
operation
:type job_schedule_add_options: :class:`JobScheduleAddOptions
<azure.batch.models.JobScheduleAddOptions>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`BatchErrorException<azure.batch.models.BatchErrorException>`
"""
timeout = None
if job_schedule_add_options is not None:
timeout = job_schedule_add_options.timeout
client_request_id = None
if job_schedule_add_options is not None:
client_request_id = job_schedule_add_options.client_request_id
return_client_request_id = None
if job_schedule_add_options is not None:
return_client_request_id = job_schedule_add_options.return_client_request_id
ocp_date = None
if job_schedule_add_options is not None:
ocp_date = job_schedule_add_options.ocp_date
# Construct URL
url = '/jobschedules'
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if timeout is not None:
query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
if client_request_id is not None:
header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
if return_client_request_id is not None:
header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
if ocp_date is not None:
header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
# Construct body
body_content = self._serialize.body(cloud_job_schedule, 'JobScheduleAddParameter')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, **operation_config)
if response.status_code not in [201]:
raise models.BatchErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'client-request-id': 'str',
'request-id': 'str',
'ETag': 'str',
'Last-Modified': 'rfc-1123',
'DataServiceId': 'str',
})
return client_raw_response
def list(
self, job_schedule_list_options=None, custom_headers=None, raw=False, **operation_config):
"""Lists all of the job schedules in the specified account.
:param job_schedule_list_options: Additional parameters for the
operation
:type job_schedule_list_options: :class:`JobScheduleListOptions
<azure.batch.models.JobScheduleListOptions>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`CloudJobSchedulePaged
<azure.batch.models.CloudJobSchedulePaged>`
:raises:
:class:`BatchErrorException<azure.batch.models.BatchErrorException>`
"""
filter = None
if job_schedule_list_options is not None:
filter = job_schedule_list_options.filter
select = None
if job_schedule_list_options is not None:
select = job_schedule_list_options.select
expand = None
if job_schedule_list_options is not None:
expand = job_schedule_list_options.expand
max_results = None
if job_schedule_list_options is not None:
max_results = job_schedule_list_options.max_results
timeout = None
if job_schedule_list_options is not None:
timeout = job_schedule_list_options.timeout
client_request_id = None
if job_schedule_list_options is not None:
client_request_id = job_schedule_list_options.client_request_id
return_client_request_id = None
if job_schedule_list_options is not None:
return_client_request_id = job_schedule_list_options.return_client_request_id
ocp_date = None
if job_schedule_list_options is not None:
ocp_date = job_schedule_list_options.ocp_date
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/jobschedules'
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if filter is not None:
query_parameters['$filter'] = self._serialize.query("filter", filter, 'str')
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, 'str')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, 'str')
if max_results is not None:
query_parameters['maxresults'] = self._serialize.query("max_results", max_results, 'int', maximum=1000, minimum=1)
if timeout is not None:
query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
if client_request_id is not None:
header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
if return_client_request_id is not None:
header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
if ocp_date is not None:
header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(
request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.BatchErrorException(self._deserialize, response)
return response
# Deserialize response
deserialized = models.CloudJobSchedulePaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.CloudJobSchedulePaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
|
[
"Raliclo@gmail.com"
] |
Raliclo@gmail.com
|
a08383826ef8a4aa9b8dafec2a1557b638f65b68
|
0b03b18954fcacc64ec63b211423603e6c6c07e4
|
/test/wsdl2py/test_DerivedTypes.py
|
909f12baf20f8e51c63539b02402a71d60a155fa
|
[] |
no_license
|
chevah/ZSI
|
c1463e30828cd24b2f68033ab269a49fd9c8dd63
|
91335df5b25cd007847a8dca30de2fc53a8ad60b
|
refs/heads/master
| 2021-01-19T13:03:58.999380
| 2017-08-19T20:03:41
| 2017-08-19T20:03:41
| 100,818,295
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 9,526
|
py
|
#!/usr/bin/env python
############################################################################
# Joshua R. Boverhof, LBNL
# See LBNLCopyright for copyright notice!
###########################################################################
import os, sys, unittest
from ServiceTest import main, ServiceTestCase, ServiceTestSuite
from ZSI import EvaluateException, FaultException
from ZSI.writer import SoapWriter
from ZSI.parse import ParsedSoap
from ZSI.TC import _get_type_definition as GTD
from ZSI.TC import _get_global_element_declaration as GED
"""
Unittest
WSDL: derivedTypes.
"""
# General targets
def dispatch():
"""Run all dispatch tests"""
suite = ServiceTestSuite()
suite.addTest(unittest.makeSuite(DTTestCase, 'test_dispatch'))
return suite
def local():
"""Run all local tests"""
suite = ServiceTestSuite()
suite.addTest(unittest.makeSuite(DTTestCase, 'test_local'))
return suite
def net():
"""Run all network tests"""
suite = ServiceTestSuite()
suite.addTest(unittest.makeSuite(DTTestCase, 'test_net'))
return suite
def all():
"""Run all tests"""
suite = ServiceTestSuite()
suite.addTest(unittest.makeSuite(DTTestCase, 'test_'))
return suite
class DTTestCase(ServiceTestCase):
name = "test_DerivedTypes"
client_file_name = None
types_file_name = "test_DerivedTypes_xsd_services_types.py"
server_file_name = None
def __init__(self, methodName):
ServiceTestCase.__init__(self, methodName)
self.wsdl2py_args.append('-x')
self.wsdl2py_args.append('-b')
def test_local_ged_substitution(self):
"""This test is designed to fail, trying to dump
a GED in via type substitution.
"""
self.types_module
pyobj = GED('urn:test', 'test').pyclass()
# use GED of a derived type
pyobj.Actor = sub = GED('urn:test', 'MiddleActor').pyclass()
sub.Element1 = 'foo'
sub.Element2 = 'bar'
sw = SoapWriter()
self.failUnlessRaises(TypeError, sw.serialize, pyobj)
def test_local_type_substitution_test2(self):
"""test extension of extension"""
attr1 = 'aone'
attr2 = 'atwo'
attr3 = 'athree'
self.types_module
pyobj = GED('urn:test', 'test2').pyclass()
# Test maxOccurs>1 for substitution
#
pyobj.Actor = [GTD('urn:test', 'TopActor')(None).pyclass()]
sub1 = pyobj.Actor[0]
sub1.Element1 = 'one'
sub1.Element2 = 'two'
sub1.Element3 = 'three'
sub1.set_attribute_attr1(attr1)
sub1.set_attribute_attr2(attr2)
sub1.set_attribute_attr3(attr3)
sw = SoapWriter()
sw.serialize(pyobj)
xml = str(sw)
ps = ParsedSoap(xml)
pyobj2 = ps.Parse(pyobj.typecode)
sub2 = pyobj2.Actor[0]
self.failUnless(sub2.get_attribute_attr1() == attr1, 'bad attribute 1')
self.failUnless(sub2.get_attribute_attr2() == attr2, 'bad attribute 2')
self.failUnless(sub2.get_attribute_attr3() == attr3, 'bad attribute 3')
self.failUnless(sub2.Element1 == sub1.Element1, 'bad element 1')
self.failUnless(sub2.Element2 == sub1.Element2, 'bad element 2')
self.failUnless(sub2.Element3 == sub1.Element3, 'bad element 3')
# check parsed out correct type
self.failUnless(isinstance(sub2.typecode, sub1.typecode.__class__),
'local element actor "%s" must be an instance of "%s"'%
(sub2.typecode, sub1.typecode.__class__))
# check local element is derived from base
base = GTD('urn:test', 'BaseActor')
self.failUnless(isinstance(sub2.typecode, base),
'local element actor must be a derived type of "%s"'%
base)
def test_local_type_substitution2(self):
"""test extension of extension"""
attr1 = 'aone'
attr2 = 'atwo'
attr3 = 'athree'
self.types_module
pyobj = GED('urn:test', 'test').pyclass()
# [ 1489129 ] Unexpected subsitution error message
# try to parse before type ever initialized
"""
ps = ParsedSoap(MSG1)
pyobj0 = ps.Parse(pyobj.typecode)
sub0 = pyobj0.Actor
self.failUnless(sub0.get_attribute_attr1() == attr1, 'bad attribute1')
self.failUnless(sub0.get_attribute_attr2() == attr2, 'bad attribute2')
"""
# [ 1489090 ] Derived type attributes don't populate the attr dictionary
# [ 1489677 ] Derivation from derived type missing derived element
#
pyobj.Actor = sub1 = GTD('urn:test', 'TopActor')(None).pyclass()
sub1.Element1 = 'one'
sub1.Element2 = 'two'
sub1.Element3 = 'three'
sub1.set_attribute_attr1(attr1)
sub1.set_attribute_attr2(attr2)
sub1.set_attribute_attr3(attr3)
sw = SoapWriter()
sw.serialize(pyobj)
xml = str(sw)
ps = ParsedSoap(xml)
pyobj2 = ps.Parse(pyobj.typecode)
sub2 = pyobj2.Actor
self.failUnless(sub2.get_attribute_attr1() == attr1, 'bad attribute 1')
self.failUnless(sub2.get_attribute_attr2() == attr2, 'bad attribute 2')
self.failUnless(sub2.get_attribute_attr3() == attr3, 'bad attribute 3')
self.failUnless(sub2.Element1 == sub1.Element1, 'bad element 1')
self.failUnless(sub2.Element2 == sub1.Element2, 'bad element 2')
self.failUnless(sub2.Element3 == sub1.Element3, 'bad element 3')
# check parsed out correct type
self.failUnless(isinstance(sub2.typecode, sub1.typecode.__class__),
'local element actor "%s" must be an instance of "%s"'%
(sub2.typecode, sub1.typecode.__class__))
# check local element is derived from base
base = GTD('urn:test', 'BaseActor')
self.failUnless(isinstance(sub2.typecode, base),
'local element actor must be a derived type of "%s"'%
base)
def test_local_parse_missing_type_substitution(self):
"""attempt to substitute an unregistered/unknown type """
attr1 = 'myclass'
attr2 = 'whatever'
self.types_module
pyobj = GED('urn:test', 'test').pyclass()
ps = ParsedSoap(NO_SUB_MSG)
self.failUnlessRaises(EvaluateException, ps.Parse, pyobj.typecode)
def test_local_type_substitution1(self):
"""test extension. Parse known instance, serialize an equivalent, Parse it back. """
attr1 = 'myclass'
attr2 = 'whatever'
self.types_module
pyobj = GED('urn:test', 'test').pyclass()
# [ 1489129 ] Unexpected subsitution error message
# try to parse before type ever initialized
ps = ParsedSoap(MSG1)
pyobj0 = ps.Parse(pyobj.typecode)
sub0 = pyobj0.Actor
self.failUnless(sub0.get_attribute_attr1() == attr1, 'bad attribute1')
self.failUnless(sub0.get_attribute_attr2() == attr2, 'bad attribute2')
# [ 1489090 ] Derived type attributes don't populate the attr dictionary
#
pyobj.Actor = sub1 = GTD('urn:test', 'MiddleActor')(None).pyclass()
sub1.Element1 = 'foo'
sub1.Element2 = 'bar'
sub1.set_attribute_attr1(attr1)
sub1.set_attribute_attr2(attr2)
sw = SoapWriter()
sw.serialize(pyobj)
xml = str(sw)
ps = ParsedSoap(xml)
pyobj2 = ps.Parse(pyobj.typecode)
sub2 = pyobj2.Actor
self.failUnless(sub2.get_attribute_attr1() == attr1, 'bad attribute class')
self.failUnless(sub2.get_attribute_attr2() == attr2, 'bad attribute name')
# check parsed out correct type
self.failUnless(isinstance(sub2.typecode, sub1.typecode.__class__),
'local element actor "%s" must be an instance of "%s"'%
(sub2.typecode, sub1.typecode.__class__))
# check local element is derived from base
base = GTD('urn:test', 'BaseActor')
self.failUnless(isinstance(sub2.typecode, base),
'local element actor must be a derived type of "%s"'%
base)
MSG1 = """<SOAP-ENV:Envelope xmlns:SOAP-ENC="http://schemas.xmlsoap.org/soap/encoding/" xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/" xmlns:ZSI="http://www.zolera.com/schemas/ZSI/" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><SOAP-ENV:Header></SOAP-ENV:Header><SOAP-ENV:Body xmlns:ns1="urn:test"><ns1:test><actor attr1="myclass" attr2="whatever" xsi:type="ns1:MiddleActor"><element1 xsi:type="xsd:string">foo</element1><element2 xsi:type="xsd:string">bar</element2></actor></ns1:test></SOAP-ENV:Body></SOAP-ENV:Envelope>"""
NO_SUB_MSG = """<SOAP-ENV:Envelope xmlns:SOAP-ENC="http://schemas.xmlsoap.org/soap/encoding/" xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/" xmlns:ZSI="http://www.zolera.com/schemas/ZSI/" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><SOAP-ENV:Header></SOAP-ENV:Header><SOAP-ENV:Body xmlns:ns1="urn:test"><ns1:test><actor attr1="myclass" attr2="whatever" xsi:type="ns1:Bogus"><element1 xsi:type="xsd:string">foo</element1><element2 xsi:type="xsd:string">bar</element2></actor></ns1:test></SOAP-ENV:Body></SOAP-ENV:Envelope>"""
if __name__ == "__main__" :
main()
|
[
"adi.roiban@chevah.com"
] |
adi.roiban@chevah.com
|
1eb5a1b07e2952ebaab6dfabb39ac5e9eb4580b5
|
60d3f970a1dd44820838c96afe5f73dd3bd2783e
|
/chapter4Lists.py
|
f8df678c1fba628098b7e24f7a49f56c3caa1638
|
[] |
no_license
|
Ayoyiinka/Automate-the-Boring-Stuff-with-Python
|
bdd6533db5dcb61ae93338f5c5a2f88aeeb9a50c
|
6034795d0a029e9e960346b7be39a714286aa3be
|
refs/heads/master
| 2020-04-17T13:59:58.686538
| 2019-07-04T16:48:10
| 2019-07-04T16:48:10
| 155,059,238
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,505
|
py
|
#Commma Code
'''Write a function that takes a list value as an argument and returns a string with all the items separated by a comma and a space,
with and inserted before the last item. But your function should be able to work with any list value passed to it.'''
def listToText(listt):
text = ''
for i in range(len(listt) - 1):
text += str(listt[i]) + ', '
text = text + 'and ' + str(listt[-1])
return text
spam = ['apples', 'bananas', 'tofu', 'cats', 'yam', 'egg', 1, 3]
spamText = listToText(spam)
print(spamText)
#Character Picture Grid
'''Say you have a list of lists where each value in the inner lists is a one-characterstring, like this(grid variable):
You can think of grid[x][y] as being the character at the x- and y-coordinates of a “picture” drawn with text characters. The (0, 0)
origin will be in the upper-left corner, the x-coordinates increase going right, and w the y-coordinates increase going down.Copy the
previous grid value, and write code that uses it to print the image below:
..OO.OO..
.OOOOOOO.
.OOOOOOO.
..OOOOO..
...OOO...
....O....'''
grid = [['.', '.', '.', '.', '.', '.'],
['.', 'O', 'O', '.', '.', '.'],
['O', 'O', 'O', 'O', '.', '.'],
['O', 'O', 'O', 'O', 'O', '.'],
['.', 'O', 'O', 'O', 'O', 'O'],
['O', 'O', 'O', 'O', 'O', '.'],
['O', 'O', 'O', 'O', '.', '.'],
['.', 'O', 'O', '.', '.', '.'],
['.', '.', '.', '.', '.', '.']]
for i in range(len(grid[0])):
for j in range(len(grid)):
print(grid[j][i], end='')
print()
|
[
"noreply@github.com"
] |
Ayoyiinka.noreply@github.com
|
d543770293d847a8bf9393c2475a126cb14fc13f
|
741e0c840dba83676ec6fdd9a3ef968935173be3
|
/lucky_club/__init__.py
|
b632938e91d3c8d170e6e4eb7725d4215ec14763
|
[] |
no_license
|
avandriets/LuckyClub
|
058f484bd4b4f1e425e211b65730cb3c1919e88e
|
a4dac32bed9242b4ee35f0d0e9b8fc0300dbf565
|
refs/heads/master
| 2021-03-30T18:08:20.189413
| 2018-04-22T06:21:16
| 2018-04-22T06:21:16
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 28
|
py
|
from .lucky_club import app
|
[
"avandriets@gmail.com"
] |
avandriets@gmail.com
|
20e67fdfe0bb01c82519e17dea4e003f9b7f0e94
|
a760487505a435d4e0bbbe7a2b4a5f892b36056a
|
/activity/migrations/0010_auto_20210718_1447.py
|
b77ad1e65e35c93cf04de1370bc8908e577caddd
|
[] |
no_license
|
feliciawnn/hobbybuddy
|
9e67c3847826c1fa2adbb07df74978a7ac265da1
|
5f7f0a5232c4ae0500852b07592bf1d1d4e728b2
|
refs/heads/main
| 2023-06-19T15:29:32.134051
| 2021-07-18T15:43:14
| 2021-07-18T15:43:14
| 386,869,351
| 2
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,256
|
py
|
# Generated by Django 3.2.5 on 2021-07-18 07:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('activity', '0009_auto_20210718_1427'),
]
operations = [
migrations.AlterField(
model_name='activity',
name='description',
field=models.TextField(max_length=1000),
),
migrations.AlterField(
model_name='activity',
name='id',
field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),
),
migrations.AlterField(
model_name='activitycategory',
name='id',
field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),
),
migrations.AlterField(
model_name='category',
name='id',
field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),
),
migrations.AlterField(
model_name='usercategory',
name='id',
field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),
),
]
|
[
"ebag0003@student.monash.edu"
] |
ebag0003@student.monash.edu
|
9531e2229c027b7d6eaac6c388925b9cdd044dbb
|
5962a371a48ca77dfc1a8f0251da9124bbf3286f
|
/CommonTools/python/Sources/CMG/V5_10_0/Summer12/cmgTuple_TTbarMcatnlo_cff.py
|
f715018498eed3f786baa4fe60456c3d53fabb48
|
[] |
no_license
|
kuyoun/KoPFA
|
6533339ec6dbd31ba91e5e419e11ff04cc2aaae8
|
8e45717a432f00704a1b71bcdf0d5a22b55e1a9b
|
refs/heads/master
| 2020-12-25T02:11:46.442898
| 2013-11-07T12:15:19
| 2013-11-07T12:15:19
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 450,118
|
py
|
import FWCore.ParameterSet.Config as cms
source = cms.Source(
"PoolSource",
noEventSort = cms.untracked.bool(True),
duplicateCheckMode = cms.untracked.string("noDuplicateCheck"),
fileNames = cms.untracked.vstring()
)
source.fileNames.extend([
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_0.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_10.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_100.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1000.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1001.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1002.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1003.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1004.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1005.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1006.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1007.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1008.root',
'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1009.root',
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'/store/cmst3/user/cmgtools/CMG/TT_8TeV-mcatnlo/Summer12_DR53X-PU_S10_START53_V7A-v1/AODSIM/V5_B/PAT_CMG_V5_10_0/cmgTuple_1010.root',
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])
|
[
""
] | |
72e23f1c3fbb1ae2f8bb1b6e13bf13519fd8c181
|
4dc63579783f743006a22a03905adc060b742cbe
|
/LinkedList/convert_sorted_list_to_binary_search_tree.py
|
1d54db6e6031c193caab0ad353f85e1a550c59b6
|
[] |
no_license
|
doguhanyeke/leetcode-sol
|
37aaad9ea2e4b2870ba10c3ad51bda19cca1e300
|
dcf22bb4ff3cb0d04536e9a446dd299d3a1ce734
|
refs/heads/master
| 2022-04-07T00:39:40.914138
| 2020-01-07T14:21:16
| 2020-01-07T14:21:16
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 875
|
py
|
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def sortedListToBST(self, head: ListNode) -> TreeNode:
size = 0
current = head
lst = []
while current:
lst.append(current.val)
current = current.next
size += 1
def construct_tree(l, r):
if l > r:
return None
mid = int((l + r) / 2)
root = TreeNode(lst[mid])
root.left = construct_tree(l, mid - 1)
root.right = construct_tree(mid + 1, r)
return root
return construct_tree(0, size - 1)
|
[
"doguyeke@gmail.com"
] |
doguyeke@gmail.com
|
329b1920c6969f7b5dc1b5a6eda1e8bcbda1fb91
|
d79f645fb7b306cb6d4e842907623c88537d3163
|
/examples/linregPolyVsN.py
|
2bc955f7c538d866e1dd9e0582372b5eef151371
|
[
"MIT"
] |
permissive
|
krkeane/pyprobml
|
1f21099b03e78f1f8f0be226a1b7942421ef2212
|
6647192136703cec639b57bbf892b40caadc2e0a
|
refs/heads/master
| 2021-05-10T19:56:21.507104
| 2018-02-17T15:05:01
| 2018-02-17T15:05:01
| 118,170,285
| 0
| 0
| null | 2018-01-19T19:43:08
| 2018-01-19T19:43:06
| null |
UTF-8
|
Python
| false
| false
| 2,030
|
py
|
import os
os.chdir("..")
from utils.util import poly_data_make
from sklearn.linear_model import Ridge
from sklearn.preprocessing import MinMaxScaler
import matplotlib.pyplot as plt
import numpy as np
TrueDeg = 2 #The true degree of the model
degrees = [1, 2, 14, 20] #The degrees of our design matrices
#Function to expand from x to design matrix of degree deg
def ExpandtoDeg(x,deg):
return np.array([x**i for i in range(deg+1)]).transpose().reshape(-1,deg+1)
for ModDeg in degrees:
ns = np.round(np.linspace(10, 210, 20))
err = []
errtrain = []
for n in ns:
#Forming data
xtrain, ytrain, xtest, _, ytest, _ = poly_data_make(sampling='thibaux', deg=TrueDeg, n=n)
#Rescaling data
scaler = MinMaxScaler(feature_range=(-1, 1))
xtrain = scaler.fit_transform(xtrain.reshape(-1, 1))
xtest = scaler.transform(xtest.reshape(-1, 1))
#Fitting ridge regression. Small differences in alpha near zero make a visual difference in the plot when n is close to 0.
regr = Ridge(alpha=0, fit_intercept=False) #Using ridge instead of ordinary least squares for numerical stability
XDesignTrain = ExpandtoDeg(xtrain, ModDeg)
XDesignTest = ExpandtoDeg(xtest, ModDeg)
regr.fit(XDesignTrain,ytrain)
ypred = regr.predict(XDesignTest)
err.append(np.mean((ytest-ypred)**2))
errtrain.append(np.mean((ytrain-regr.predict(XDesignTrain))**2))
#Plotting
fig, ax = plt.subplots()
ax.plot(ns, err, color = 'r', marker = 's',label='test')
ax.plot(ns, errtrain, marker = 'x', label='train')
ax.legend(loc='upper right', shadow=True)
ax.set_xlim([0,200])
ax.set_ylim([0,22])
plt.axhline(y=4, color='k', linewidth=2)
plt.xlabel('size of training set')
plt.ylabel('mse')
plt.title('truth = degree 2, model = degree '+ str(ModDeg))
plt.savefig(os.path.join('figures', 'polyfitN{}.png'.format(ModDeg)),orientation='landscape')
plt.draw()
plt.show()
|
[
"noreply@github.com"
] |
krkeane.noreply@github.com
|
208f610fcc7a5d61a4e865a2904adb780b593f7e
|
192bd70c616232c7054173069d5354e4d6d52c62
|
/util/emu.py
|
03d1ec3a068a0f9d390bec4556ccd5064cdf91ef
|
[
"MIT"
] |
permissive
|
zh-explorer/patchkit
|
a37254aa674e6057142d7aecf8a172ae9bd84bfc
|
832575645e340503623d558ad97df92594bfd93a
|
refs/heads/master
| 2021-01-19T17:36:19.112581
| 2020-06-01T05:24:34
| 2020-06-01T05:24:34
| 88,334,238
| 1
| 1
|
NOASSERTION
| 2020-06-01T05:24:36
| 2017-04-15T08:24:23
|
C
|
UTF-8
|
Python
| false
| false
| 11,106
|
py
|
import os
import struct
import time
import traceback
from contextlib import contextmanager
from collections import defaultdict, OrderedDict
from unicorn import *
from unicorn.x86_const import *
from capstone import *
from capstone.x86_const import *
def align(addr, size):
start = addr
end = addr + size
end = (end + 0xfff) & ~0xfff
start = start & ~0xfff
return start, end - start
X86_REGS = [
UC_X86_REG_EAX,
UC_X86_REG_EBX,
UC_X86_REG_ECX,
UC_X86_REG_EDX,
UC_X86_REG_ESI,
UC_X86_REG_EDI,
UC_X86_REG_ESP,
]
class Block:
def __init__(self, addr, size, data):
self.addr = addr
self.size = size
self.data = str(data)
def __hash__(self):
return hash((self.addr, self.size, self.data))
def __lt__(self, other):
return self.addr < other.addr
def __contains__(self, addr):
return addr >= self.addr and addr < self.addr + self.size
# other should have a higher addr
def merge(self, other):
end = self.addr + self.size
self.addr = min(self.addr, other.addr)
self.size = (other.addr + other.size) - self.addr
if end < other.addr:
gap = (other.addr - end) * '\0'
self.data += gap + other.data
class Transaction:
def __init__(self, uc):
self.uc = uc
# save all registers
self.saved_regs = {}
for enum in X86_REGS:
val = uc.reg_read(enum)
self.saved_regs[enum] = val
# save memory undo deltas
self.saved_mem = {}
def hook_mem(uc, access, addr, size, value, user):
try:
data = str(uc.mem_read(addr, size))
except UcError:
return
for i in xrange(size):
waddr = addr + i
if not waddr in self.saved_mem:
self.saved_mem[waddr] = data[i]
self.hh = uc.hook_add(UC_HOOK_MEM_WRITE, hook_mem)
def rewind(self):
self.uc.hook_del(self.hh)
# rollback register changes
for enum in X86_REGS:
self.uc.reg_write(enum, self.saved_regs[enum])
# rollback memory writes
for addr, b in self.saved_mem.items():
self.uc.mem_write(addr, b)
def discard(self):
self.uc.hook_del(self.hh)
class Backtrack:
def __init__(self, emu, uc):
self.uc = uc
self.emu = emu
self.cs = Cs(CS_ARCH_X86, CS_MODE_32)
self.cs.detail = True
uc.hook_add(UC_HOOK_CODE, self.jmp_hook)
# recursive import :(
from util.cfg import CONDJMPS
self.CONDJMPS = CONDJMPS
self.visited = set()
self.pending = set()
self.targets = []
self.last_addr = 0
def add(self, prev, addr):
key = (prev, addr)
if not key in self.visited and not key in self.pending:
self.pending.add(key)
self.targets.append((addr, Transaction(self.uc)))
def jmp_hook(self, uc, addr, size, user):
# TODO: caching/skipping here will be huge
# this is gonna be slow
data = uc.mem_read(addr, size)
ins = tuple(self.cs.disasm(str(data), addr))[0]
if ins.id in self.CONDJMPS:
dst = ins.operands[0]
if dst.type == X86_OP_IMM:
dst = dst.imm
self.add(addr, addr + len(ins.bytes))
self.add(addr, dst)
self.visited.add((self.last_addr, addr))
self.last_addr = addr
def run(self, entry):
uc = self.uc
self.last_addr = entry
print ' [BACKTRACK] Running once:'
self.recv_hist = []
# stop emulator on receive() spam
def hook_intr(uc, intno, user):
if intno == 0x80:
if self.emu.sysnum == 3: # SYS_receive
self.recv_hist.append(time.time())
if len(self.recv_hist) > 10:
if (self.recv_hist[-1] - self.recv_hist[-11]) < 1:
uc.emu_stop()
hh = uc.hook_add(UC_HOOK_INTR, hook_intr)
self.emu.verbose = True
uc.emu_start(entry, 0)
self.emu.verbose = False
self.emu.block_timeout = 1
print ' [BACKTRACK] Backtracking...'
last = time.time()
finished = 0
while self.targets:
now = time.time()
if now - last > 1:
last = now
print ' [BACKTRACK] %d/%d' % (finished, finished + len(self.targets))
addr, transaction = self.targets.pop(-1)
transaction.rewind()
self.emu.alive = time.time()
try:
self.last_addr = addr
self.recv_hist = []
uc.emu_start(addr, 0)
except Exception as e:
pass
finished += 1
print ' [BACKTRACK] Finished (%d/%d)' % (finished, finished + len(self.targets))
uc.hook_del(hh)
class Emu:
def __init__(self, binary):
self.binary = binary
self.blocks = {}
self.modified = []
self.seen_receive = False
self.alive = 0
self.block_timeout = 10
self.verbose = True
self.sysnum = 0
@contextmanager
def emu(self):
uc = Uc(UC_ARCH_X86, UC_MODE_32)
# map memory
todo = []
for prog in self.binary.elf.progs:
if prog.isload and prog.memsz:
addr, size = align(prog.vaddr, prog.memsz)
uc.mem_map(addr, size)
todo.append(prog)
for prog in todo:
uc.mem_write(prog.vaddr, str(prog.data))
# map stack
stack_base = 0xbaaab000 - 0x800000
uc.mem_map(stack_base, 0x800000)
uc.reg_write(UC_X86_REG_ESP, 0xbaaaaffc)
# map secret page
secret_addr = 0x4347c000
uc.mem_map(secret_addr, 0x1000)
uc.mem_write(secret_addr, os.urandom(0x1000))
# initial register(s)
uc.reg_write(UC_X86_REG_ECX, secret_addr)
yield uc
# TODO: cleanup? there's no uc.close() yet
def explore(self, backtrack=False):
with self.emu() as uc, self.binary.collect() as pt:
self.alive = time.time()
self.alloc_pos = 0x10000
def hook_block(uc, addr, size, user):
# pt.debug('[BLOCK] 0x%x - 0x%x' % (addr, size))
# TODO: xrefs?
now = time.time()
key = (addr, size)
data = str(uc.mem_read(addr, size))
if data != pt.elf.read(addr, size):
tmp = (key, data)
if not tmp in self.modified:
self.modified.append(tmp)
if not key in self.blocks:
self.alive = now
self.blocks[key] = Block(addr, size, data)
elif now - self.alive > self.block_timeout and self.seen_receive:
if self.verbose:
pt.debug('[EMU] No recent new blocks, stopping emulation.')
uc.emu_stop()
def hook_code(uc, addr, size, user):
data = uc.mem_read(addr, size)
pt.debug(dis=pt.arch.dis(data, addr=addr))
def handle_syscall():
num = uc.reg_read(UC_X86_REG_EAX)
self.sysnum = num
arg1 = uc.reg_read(UC_X86_REG_EBX)
arg2 = uc.reg_read(UC_X86_REG_ECX)
arg3 = uc.reg_read(UC_X86_REG_EDX)
arg4 = uc.reg_read(UC_X86_REG_ESI)
arg5 = uc.reg_read(UC_X86_REG_EDI)
arg6 = uc.reg_read(UC_X86_REG_EBP)
if num == 1: # _terminate
if self.verbose:
pt.debug('[EMU] _terminate(%d)' % arg1)
uc.emu_stop()
return
if num == 2: # transmit
data = str(uc.mem_read(arg2, arg3))
if arg4:
uc.mem_write(arg4, struct.pack('<I', arg3))
if self.verbose:
pt.debug('[EMU] transmit(%d, "%s", %d, [0x%x])' % (arg1, repr(data), arg3, arg4))
elif num == 3: # receive
if not self.seen_receive:
self.alive = time.time()
self.seen_receive = True
if arg3 == 0:
if self.verbose:
pt.debug('[EMU] receive(%d, "", %d, [0x%x])' % (arg1, arg3, arg4))
uc.reg_write(UC_X86_REG_EAX, 0xffffffff)
return
else:
uc.mem_write(arg2, '\n')
if arg4:
uc.mem_write(arg4, struct.pack('<I', 1))
if self.verbose:
pt.debug('[EMU] receive(%d, "\\n", %d, [0x%x])' % (arg1, arg3, arg4))
# elif num == 4: # fdwait
elif num == 5: # allocate
addr, size = align(self.alloc_pos, arg1)
uc.mem_map(addr, size)
self.alloc_pos += size
if arg3:
uc.mem_write(arg3, struct.pack('<I', addr))
if self.verbose:
pt.debug('[EMU] allocate(0x%x, is_x=%d, [0x%x]) @0x%x' % (arg1, arg2, arg3, addr))
elif num == 6: # deallocate
if self.verbose:
pt.warn('[EMU] stubbed deallocate()')
elif num == 7: # random
uc.mem_write(arg1, os.urandom(arg2))
if arg3:
uc.mem_write(arg3, struct.pack('<I', arg2))
if self.verbose:
pt.debug('[EMU] random(0x%x, 0x%x, [0x%x])' % (arg1, arg2, arg3))
else:
if self.verbose:
pt.warn('[EMU] stubbed syscall %d' % num)
uc.reg_write(UC_X86_REG_EAX, 0xffffffff)
return
uc.reg_write(UC_X86_REG_EAX, 0)
def hook_intr(uc, intno, user):
if intno == 0x80:
try:
handle_syscall()
except UcError:
# probably a memory error
uc.reg_write(UC_X86_REG_EAX, 0xffffffff)
else:
if self.verbose:
pt.warn('Unknown interrupt during emulation: 0x%x' % intno)
uc.emu_stop()
uc.hook_add(UC_HOOK_BLOCK, hook_block)
# uc.hook_add(UC_HOOK_CODE, hook_code)
uc.hook_add(UC_HOOK_INTR, hook_intr)
if backtrack:
engine = Backtrack(self, uc)
engine.run(self.binary.elf.entry)
else:
uc.emu_start(self.binary.elf.entry, 0)
return sorted(self.blocks), self.modified
|
[
"lunixbochs@gmail.com"
] |
lunixbochs@gmail.com
|
08c2776efb8e7e7482488fbd3702cd0eff550aae
|
72fd2b0a9c7db91b40b163ffa569c16281bf2dac
|
/cifar10_cnn_test7.py
|
7d69d162a6f751480d70f2bb273bcfa7408c4de9
|
[] |
no_license
|
brunokovac/ZavrsniRad
|
a512b6d200bc89b0c421cd596c75de914d5711d5
|
278bf6639aa65d91d5e13559a1e68986dcc1d314
|
refs/heads/master
| 2020-03-19T03:04:07.625650
| 2018-07-01T13:25:02
| 2018-07-01T13:25:02
| 135,691,372
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,940
|
py
|
import tensorflow as tf
import numpy as np
import cifar10_cnn_model as cnn_model
def get_eval_metrics(matrix):
accuracy = np.trace(matrix) / np.sum(matrix)
precision = np.diagonal(matrix) / np.sum(matrix, axis=0)
recall = np.diagonal(matrix) / np.sum(matrix, axis=1)
return accuracy, precision, recall
def get_auroc():
return 0
def get_aupr():
return 0
def test(test_data, test_labels):
logits = cnn_model.model()
with tf.Session() as sess:
saver = tf.train.Saver()
saver.restore(sess, "drive/zavrsni/model")
print("*"*25, "TEST", "*"*25)
matrix_tf = tf.confusion_matrix(labels = Y_, predictions = tf.argmax(logits, 1))
matrix = sess.run(matrix_tf, feed_dict = {X : test_data, Y_ : test_labels})
print("Confusion matrix:\n", matrix)
accuracy, precision, recall = get_eval_metrics(matrix)
print("Accuracy:", accuracy)
print("Precision:", np.average(precision))
print("Recall:", np.average(recall))
print("*"*55)
import matplotlib.pyplot as plt
def save_image(image, name):
plt.imshow(image / 255, interpolation="gaussian")
plt.savefig(name)
if __name__ == "__main__":
cifar_train, cifar_test = tf.keras.datasets.cifar10.load_data()
cifar_train = (cifar_train[0].astype('float32'), cifar_train[1])
cifar_test = (cifar_test[0].astype('float32'), cifar_test[1])
train_data = cifar_train[0]
train_labels = np.asarray(cifar_train[1], dtype=np.int32)
test_data = cifar_test[0]
test_labels = np.asarray(cifar_test[1], dtype=np.int32)
sess = tf.InteractiveSession()
from math import pi
test_data = tf.contrib.image.rotate(test_data, pi).eval()
sess.close()
data_mean = train_data.mean((0, 1, 2))
data_std = train_data.std((0, 1, 2))
train_data = (train_data - data_mean) / data_std
test_data = (test_data - data_mean) / data_std
X = cnn_model.X
Y_ = cnn_model.Y_
test(test_data, test_labels)
|
[
"noreply@github.com"
] |
brunokovac.noreply@github.com
|
422a7cbbdb7c5caf6dde6adaee7e9ac91caac2ff
|
bce3dfcb2ab801087b663c56f590a8affa7495d0
|
/qa/pull-tester/rpc-tests.py
|
2a7f2b1a2326b7e5101d6c2cdeff7d67521d0cb3
|
[
"MIT"
] |
permissive
|
botslim/botslim_03.githab.io
|
cc9c61a1b51cc3ab7bd359ca9b95922ada6b033d
|
3bd14fb80553e20aaa7a76ef2d8e84658e69fabb
|
refs/heads/master
| 2021-04-18T22:38:39.456638
| 2018-02-24T15:54:16
| 2018-02-24T15:54:16
| 126,571,147
| 2
| 0
|
MIT
| 2018-03-24T06:08:18
| 2018-03-24T06:06:18
|
C++
|
UTF-8
|
Python
| false
| false
| 8,819
|
py
|
#!/usr/bin/env python2
# Copyright (c) 2014-2015 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""
Run Regression Test Suite
This module calls down into individual test cases via subprocess. It will
forward all unrecognized arguments onto the individual test scripts, other
than:
- `-extended`: run the "extended" test suite in addition to the basic one.
- `-win`: signal that this is running in a Windows environment, and we
should run the tests.
- `--coverage`: this generates a basic coverage report for the RPC
interface.
For a description of arguments recognized by test scripts, see
`qa/pull-tester/test_framework/test_framework.py:BitcoinTestFramework.main`.
"""
import os
import time
import shutil
import sys
import subprocess
import tempfile
import re
from tests_config import *
#If imported values are not defined then set to zero (or disabled)
if 'ENABLE_WALLET' not in vars():
ENABLE_WALLET=0
if 'ENABLE_BITCOIND' not in vars():
ENABLE_BITCOIND=0
if 'ENABLE_UTILS' not in vars():
ENABLE_UTILS=0
if 'ENABLE_ZMQ' not in vars():
ENABLE_ZMQ=0
ENABLE_COVERAGE=0
#Create a set to store arguments and create the passOn string
opts = set()
passOn = ""
p = re.compile("^--")
bold = ("","")
if (os.name == 'posix'):
bold = ('\033[0m', '\033[1m')
for arg in sys.argv[1:]:
if arg == '--coverage':
ENABLE_COVERAGE = 1
elif (p.match(arg) or arg == "-h"):
passOn += " " + arg
else:
opts.add(arg)
#Set env vars
buildDir = BUILDDIR
if "RAPTURED" not in os.environ:
os.environ["RAPTURED"] = buildDir + '/src/raptured' + EXEEXT
if "RAPTURECLI" not in os.environ:
os.environ["RAPTURECLI"] = buildDir + '/src/rapture-cli' + EXEEXT
if EXEEXT == ".exe" and "-win" not in opts:
# https://github.com/bitcoin/bitcoin/commit/d52802551752140cf41f0d9a225a43e84404d3e9
# https://github.com/bitcoin/bitcoin/pull/5677#issuecomment-136646964
print "Win tests currently disabled by default. Use -win option to enable"
sys.exit(0)
if not (ENABLE_WALLET == 1 and ENABLE_UTILS == 1 and ENABLE_BITCOIND == 1):
print "No rpc tests to run. Wallet, utils, and bitcoind must all be enabled"
sys.exit(0)
# python-zmq may not be installed. Handle this gracefully and with some helpful info
if ENABLE_ZMQ:
try:
import zmq
except ImportError as e:
print("ERROR: \"import zmq\" failed. Set ENABLE_ZMQ=0 or " \
"to run zmq tests, see dependency info in /qa/README.md.")
raise e
#Tests
testScripts = [
'bip68-112-113-p2p.py',
'wallet.py',
'wallet-hd.py',
'listtransactions.py',
'receivedby.py',
'mempool_resurrect_test.py',
'txn_doublespend.py --mineblock',
'txn_clone.py',
'getchaintips.py',
'rawtransactions.py',
'rest.py',
'mempool_spendcoinbase.py',
'mempool_reorg.py',
'mempool_limit.py',
'httpbasics.py',
'multi_rpc.py',
'zapwallettxes.py',
'proxy_test.py',
'merkle_blocks.py',
'fundrawtransaction.py',
'fundrawtransaction-hd.py',
'signrawtransactions.py',
'walletbackup.py',
'nodehandling.py',
'reindex.py',
'addressindex.py',
'timestampindex.py',
'spentindex.py',
'decodescript.py',
'p2p-fullblocktest.py', # NOTE: needs rapture_hash to pass
'blockchain.py',
'disablewallet.py',
'sendheaders.py', # NOTE: needs rapture_hash to pass
'keypool.py',
'keypool-hd.py',
'prioritise_transaction.py',
'invalidblockrequest.py', # NOTE: needs rapture_hash to pass
'invalidtxrequest.py', # NOTE: needs rapture_hash to pass
'abandonconflict.py',
'p2p-versionbits-warning.py',
]
if ENABLE_ZMQ:
testScripts.append('zmq_test.py')
testScriptsExt = [
'bip9-softforks.py',
'bip65-cltv.py',
'bip65-cltv-p2p.py', # NOTE: needs rapture_hash to pass
'bip68-sequence.py',
'bipdersig-p2p.py', # NOTE: needs rapture_hash to pass
'bipdersig.py',
'getblocktemplate_longpoll.py', # FIXME: "socket.error: [Errno 54] Connection reset by peer" on my Mac, same as https://github.com/bitcoin/bitcoin/issues/6651
'getblocktemplate_proposals.py',
'txn_doublespend.py',
'txn_clone.py --mineblock',
# 'pruning.py', # Prune mode is incompatible with -txindex.
'forknotify.py',
'invalidateblock.py',
# 'rpcbind_test.py', #temporary, bug in libevent, see #6655
'smartfees.py',
'maxblocksinflight.py',
'p2p-acceptblock.py', # NOTE: needs rapture_hash to pass
'mempool_packages.py',
'maxuploadtarget.py',
# 'replace-by-fee.py', # RBF is disabled in Rapture Core
]
def runtests():
coverage = None
if ENABLE_COVERAGE:
coverage = RPCCoverage()
print("Initializing coverage directory at %s\n" % coverage.dir)
rpcTestDir = buildDir + '/qa/rpc-tests/'
run_extended = '-extended' in opts
cov_flag = coverage.flag if coverage else ''
flags = " --srcdir %s/src %s %s" % (buildDir, cov_flag, passOn)
#Run Tests
for i in range(len(testScripts)):
if (len(opts) == 0
or (len(opts) == 1 and "-win" in opts )
or run_extended
or testScripts[i] in opts
or re.sub(".py$", "", testScripts[i]) in opts ):
print("Running testscript %s%s%s ..." % (bold[1], testScripts[i], bold[0]))
time0 = time.time()
subprocess.check_call(
rpcTestDir + testScripts[i] + flags, shell=True)
print("Duration: %s s\n" % (int(time.time() - time0)))
# exit if help is called so we print just one set of
# instructions
p = re.compile(" -h| --help")
if p.match(passOn):
sys.exit(0)
# Run Extended Tests
for i in range(len(testScriptsExt)):
if (run_extended or testScriptsExt[i] in opts
or re.sub(".py$", "", testScriptsExt[i]) in opts):
print(
"Running 2nd level testscript "
+ "%s%s%s ..." % (bold[1], testScriptsExt[i], bold[0]))
time0 = time.time()
subprocess.check_call(
rpcTestDir + testScriptsExt[i] + flags, shell=True)
print("Duration: %s s\n" % (int(time.time() - time0)))
if coverage:
coverage.report_rpc_coverage()
print("Cleaning up coverage data")
coverage.cleanup()
class RPCCoverage(object):
"""
Coverage reporting utilities for pull-tester.
Coverage calculation works by having each test script subprocess write
coverage files into a particular directory. These files contain the RPC
commands invoked during testing, as well as a complete listing of RPC
commands per `bitcoin-cli help` (`rpc_interface.txt`).
After all tests complete, the commands run are combined and diff'd against
the complete list to calculate uncovered RPC commands.
See also: qa/rpc-tests/test_framework/coverage.py
"""
def __init__(self):
self.dir = tempfile.mkdtemp(prefix="coverage")
self.flag = '--coveragedir %s' % self.dir
def report_rpc_coverage(self):
"""
Print out RPC commands that were unexercised by tests.
"""
uncovered = self._get_uncovered_rpc_commands()
if uncovered:
print("Uncovered RPC commands:")
print("".join((" - %s\n" % i) for i in sorted(uncovered)))
else:
print("All RPC commands covered.")
def cleanup(self):
return shutil.rmtree(self.dir)
def _get_uncovered_rpc_commands(self):
"""
Return a set of currently untested RPC commands.
"""
# This is shared from `qa/rpc-tests/test-framework/coverage.py`
REFERENCE_FILENAME = 'rpc_interface.txt'
COVERAGE_FILE_PREFIX = 'coverage.'
coverage_ref_filename = os.path.join(self.dir, REFERENCE_FILENAME)
coverage_filenames = set()
all_cmds = set()
covered_cmds = set()
if not os.path.isfile(coverage_ref_filename):
raise RuntimeError("No coverage reference found")
with open(coverage_ref_filename, 'r') as f:
all_cmds.update([i.strip() for i in f.readlines()])
for root, dirs, files in os.walk(self.dir):
for filename in files:
if filename.startswith(COVERAGE_FILE_PREFIX):
coverage_filenames.add(os.path.join(root, filename))
for filename in coverage_filenames:
with open(filename, 'r') as f:
covered_cmds.update([i.strip() for i in f.readlines()])
return all_cmds - covered_cmds
if __name__ == '__main__':
runtests()
|
[
"rapturecoredev@gmail.com"
] |
rapturecoredev@gmail.com
|
a16961f9751a339bef799e2a4a94f5a1f003b5d2
|
6fbc2ef109add7f322c34d9d4940aac2298fabc1
|
/lib/universal_html/lists.py
|
b01fe5a5df48a1ddb6a0b937b6851d8cb6025e90
|
[] |
no_license
|
edison23/fml4
|
db9c1b3225ff652de41844e94f2d1006d5142d39
|
10782892f3f0b046cde4c4098885380c68e9d5a0
|
refs/heads/master
| 2020-04-06T07:11:57.905737
| 2014-05-23T09:56:11
| 2014-05-23T09:56:11
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,271
|
py
|
# -*- coding: utf-8 -*-
# Lists conversion
import json, re, os, sys
# Open dictionary with list keywords
# with open( "../../tagsets/itemize.json", "rb" ) as fp:
# bullet_keys = json.load(fp)
# print os.path.abspath(os.path.join("tagsets", "itemize.json"))
script_path = os.path.dirname(os.path.abspath(sys.argv[0]))
bullet_keys = json.load(open(os.path.join(script_path, "tagsets", "itemize.json"), "rb" ))
def main(parameters):
f_in, f_out, _, settings = parameters
# Initialize stack for lists
list_stack = []
noprocess = 0
for line in f_in:
# Decode from utf-8
line = line.decode("utf-8")
# check if line(s) can be processed
if "</noprocess>" in line: # this isn't very robust against errors like "</noprocess><noprocess>", but that shouldn't occur anyway
f_out.write(line.encode("utf-8"))
noprocess = 0
continue # dont process the line with tag any further
if "<noprocess>" in line or noprocess == 1:
f_out.write(line.encode("utf-8"))
noprocess = 1
continue
# Control var for active lists
active = False
# If ordered or unordered list keyword was found:
for key in bullet_keys:
if re.match(r"^" + re.escape(key) + " ", line.strip("\t")):
line, list_stack = bullets(line.rstrip(), key, list_stack)
active = True
# If there was no list found and there are some active, close them all
if (not active) and (list_stack):
line, list_stack = list_close(line, "", list_stack, all=1)
line = line
f_out.write(line.encode("utf-8"))
def list_new(line, uol, list_stack):
line = "<" + bullet_keys[uol] + ">\n" + list_newline(line, uol)
list_stack.append(uol)
return line, list_stack
def list_newline(line, uol):
# Get the original characters that are to be replaced
c = re.escape(uol)
# Count tabs and create appropriate tabs string equal to the one in the line
tabs = line.count("\t")
tabs_string = tabs * "\t"
line = re.sub(tabs_string + c + r" (.*)", "\t" + r"<li>\1</li>\n", line)
return line
def list_close(line, uol, list_stack, all=0):
temp_line = ""
# Closing only one or some lists, not all
if all == 0:
# diff is difference between current level of list (i.e. number of tabs)
# and number of lists in the stack (that, obviously, need to be closed)
diff = len(list_stack) - (line.count("\t") + 1)
for i in xrange(diff):
temp_line += "</" + bullet_keys[list_stack.pop()] + ">\n"
line = temp_line + list_newline(line, uol)
# Closing all lists
elif all == 1:
while list_stack:
temp_line += "</" + bullet_keys[list_stack.pop()] + ">\n"
line = temp_line + line
return line, list_stack
def bullets(line, uol, list_stack):
# If there is no list active
if len(list_stack) == 0:
line, list_stack = list_new(line, uol, list_stack)
else:
# If the number of tabs is higher/lower than number of lists active, create/close a list,
# if equal, just add list item
# (tabs begin at 0, lists at 1, thus a "+1" correction required)
if (len(list_stack)) < (line.count("\t") + 1):
line, list_stack = list_new(line, uol, list_stack)
elif (len(list_stack)) == (line.count("\t") + 1):
line = list_newline(line, uol)
else:
line, list_stack = list_close(line, uol, list_stack) # closing only 1 list
return line, list_stack
|
[
"klementdavid@gmail.com"
] |
klementdavid@gmail.com
|
c75870ceba35b59bf03e9adec9a1acf7bbc8b7a7
|
5db0fab37c2b8a618d85d3b60fab9f806c416474
|
/src/python/pants/backend/scala/lint/scalafmt/rules.py
|
05d448bc13f60bd711e94212ae524a7bc354c65f
|
[
"Apache-2.0"
] |
permissive
|
pantsbuild/pants
|
4988d1ac5474ec95f94ce2218aeb759401e4b011
|
98cbda8545f0d58c586ed2daa76fefd729d5e0d5
|
refs/heads/main
| 2023-09-05T03:44:17.646899
| 2023-09-01T19:52:09
| 2023-09-01T19:52:09
| 7,209,075
| 2,708
| 593
|
Apache-2.0
| 2023-09-14T19:33:33
| 2012-12-17T17:39:04
|
Python
|
UTF-8
|
Python
| false
| false
| 7,643
|
py
|
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import os.path
from collections import defaultdict
from dataclasses import dataclass
from typing import cast
from pants.backend.scala.lint.scalafmt.skip_field import SkipScalafmtField
from pants.backend.scala.lint.scalafmt.subsystem import ScalafmtSubsystem
from pants.backend.scala.target_types import ScalaSourceField
from pants.core.goals.fmt import FmtResult, FmtTargetsRequest, Partitions
from pants.core.goals.generate_lockfiles import GenerateToolLockfileSentinel
from pants.core.util_rules.partitions import Partition
from pants.engine.fs import Digest, DigestSubset, MergeDigests, PathGlobs, Snapshot
from pants.engine.internals.selectors import Get, MultiGet
from pants.engine.process import ProcessResult
from pants.engine.rules import collect_rules, rule
from pants.engine.target import FieldSet, Target
from pants.engine.unions import UnionRule
from pants.jvm.goals import lockfile
from pants.jvm.jdk_rules import InternalJdk, JvmProcess
from pants.jvm.resolve.coursier_fetch import ToolClasspath, ToolClasspathRequest
from pants.jvm.resolve.jvm_tool import GenerateJvmLockfileFromTool, GenerateJvmToolLockfileSentinel
from pants.util.dirutil import find_nearest_ancestor_file, group_by_dir
from pants.util.frozendict import FrozenDict
from pants.util.logging import LogLevel
from pants.util.strutil import pluralize
_SCALAFMT_CONF_FILENAME = ".scalafmt.conf"
@dataclass(frozen=True)
class ScalafmtFieldSet(FieldSet):
required_fields = (ScalaSourceField,)
source: ScalaSourceField
@classmethod
def opt_out(cls, tgt: Target) -> bool:
return tgt.get(SkipScalafmtField).value
class ScalafmtRequest(FmtTargetsRequest):
field_set_type = ScalafmtFieldSet
tool_subsystem = ScalafmtSubsystem
class ScalafmtToolLockfileSentinel(GenerateJvmToolLockfileSentinel):
resolve_name = ScalafmtSubsystem.options_scope
@dataclass(frozen=True)
class GatherScalafmtConfigFilesRequest:
filepaths: tuple[str, ...]
@dataclass(frozen=True)
class ScalafmtConfigFiles:
snapshot: Snapshot
source_dir_to_config_file: FrozenDict[str, str]
@dataclass(frozen=True)
class PartitionInfo:
classpath_entries: tuple[str, ...]
config_snapshot: Snapshot
extra_immutable_input_digests: FrozenDict[str, Digest]
@property
def description(self) -> str:
return self.config_snapshot.files[0]
# @TODO: This logic is very similar, but not identical to the one for yamllint. It should be generalized and shared.
@rule
async def gather_scalafmt_config_files(
request: GatherScalafmtConfigFilesRequest,
) -> ScalafmtConfigFiles:
"""Gather scalafmt config files and identify which config files to use for each source
directory."""
source_dirs = frozenset(os.path.dirname(path) for path in request.filepaths)
source_dirs_with_ancestors = {"", *source_dirs}
for source_dir in source_dirs:
source_dir_parts = source_dir.split(os.path.sep)
source_dir_parts.pop()
while source_dir_parts:
source_dirs_with_ancestors.add(os.path.sep.join(source_dir_parts))
source_dir_parts.pop()
config_file_globs = [
os.path.join(dir, _SCALAFMT_CONF_FILENAME) for dir in source_dirs_with_ancestors
]
config_files_snapshot = await Get(Snapshot, PathGlobs(config_file_globs))
config_files_set = set(config_files_snapshot.files)
source_dir_to_config_file: dict[str, str] = {}
for source_dir in source_dirs:
config_file = find_nearest_ancestor_file(
config_files_set, source_dir, _SCALAFMT_CONF_FILENAME
)
if not config_file:
raise ValueError(
f"No scalafmt config file (`{_SCALAFMT_CONF_FILENAME}`) found for "
f"source directory '{source_dir}'"
)
source_dir_to_config_file[source_dir] = config_file
return ScalafmtConfigFiles(config_files_snapshot, FrozenDict(source_dir_to_config_file))
@rule
async def partition_scalafmt(
request: ScalafmtRequest.PartitionRequest, tool: ScalafmtSubsystem
) -> Partitions[PartitionInfo]:
if tool.skip:
return Partitions()
toolcp_relpath = "__toolcp"
filepaths = tuple(field_set.source.file_path for field_set in request.field_sets)
lockfile_request = await Get(GenerateJvmLockfileFromTool, ScalafmtToolLockfileSentinel())
tool_classpath, config_files = await MultiGet(
Get(ToolClasspath, ToolClasspathRequest(lockfile=lockfile_request)),
Get(
ScalafmtConfigFiles,
GatherScalafmtConfigFilesRequest(filepaths),
),
)
extra_immutable_input_digests = {
toolcp_relpath: tool_classpath.digest,
}
# Partition the work by which source files share the same config file (regardless of directory).
source_files_by_config_file: dict[str, set[str]] = defaultdict(set)
for source_dir, files_in_source_dir in group_by_dir(filepaths).items():
config_file = config_files.source_dir_to_config_file[source_dir]
source_files_by_config_file[config_file].update(
os.path.join(source_dir, name) for name in files_in_source_dir
)
config_file_snapshots = await MultiGet(
Get(Snapshot, DigestSubset(config_files.snapshot.digest, PathGlobs([config_file])))
for config_file in source_files_by_config_file
)
return Partitions(
Partition(
tuple(files),
PartitionInfo(
classpath_entries=tuple(tool_classpath.classpath_entries(toolcp_relpath)),
config_snapshot=config_snapshot,
extra_immutable_input_digests=FrozenDict(extra_immutable_input_digests),
),
)
for files, config_snapshot in zip(
source_files_by_config_file.values(), config_file_snapshots
)
)
@rule(desc="Format with scalafmt", level=LogLevel.DEBUG)
async def scalafmt_fmt(
request: ScalafmtRequest.Batch, jdk: InternalJdk, tool: ScalafmtSubsystem
) -> FmtResult:
partition_info = cast(PartitionInfo, request.partition_metadata)
merged_digest = await Get(
Digest,
MergeDigests([partition_info.config_snapshot.digest, request.snapshot.digest]),
)
result = await Get(
ProcessResult,
JvmProcess(
jdk=jdk,
argv=[
"org.scalafmt.cli.Cli",
f"--config={partition_info.config_snapshot.files[0]}",
"--non-interactive",
*request.files,
],
classpath_entries=partition_info.classpath_entries,
input_digest=merged_digest,
output_files=request.files,
extra_jvm_options=tool.jvm_options,
extra_immutable_input_digests=partition_info.extra_immutable_input_digests,
# extra_nailgun_keys=request.extra_immutable_input_digests,
use_nailgun=False,
description=f"Run `scalafmt` on {pluralize(len(request.files), 'file')}.",
level=LogLevel.DEBUG,
),
)
return await FmtResult.create(request, result)
@rule
def generate_scalafmt_lockfile_request(
_: ScalafmtToolLockfileSentinel, tool: ScalafmtSubsystem
) -> GenerateJvmLockfileFromTool:
return GenerateJvmLockfileFromTool.create(tool)
def rules():
return [
*collect_rules(),
*lockfile.rules(),
*ScalafmtRequest.rules(),
UnionRule(GenerateToolLockfileSentinel, ScalafmtToolLockfileSentinel),
]
|
[
"noreply@github.com"
] |
pantsbuild.noreply@github.com
|
1bf6c19fd5f175c303e867e22ae2a38de7eb637d
|
1d928c3f90d4a0a9a3919a804597aa0a4aab19a3
|
/python/django/2015/4/test_uuid.py
|
7ce98a085272c97a5ab3044f7a48697fd16860a0
|
[] |
no_license
|
rosoareslv/SED99
|
d8b2ff5811e7f0ffc59be066a5a0349a92cbb845
|
a062c118f12b93172e31e8ca115ce3f871b64461
|
refs/heads/main
| 2023-02-22T21:59:02.703005
| 2021-01-28T19:40:51
| 2021-01-28T19:40:51
| 306,497,459
| 1
| 1
| null | 2020-11-24T20:56:18
| 2020-10-23T01:18:07
| null |
UTF-8
|
Python
| false
| false
| 5,632
|
py
|
import json
import uuid
from django.core import exceptions, serializers
from django.db import models
from django.test import TestCase
from .models import (
NullableUUIDModel, PrimaryKeyUUIDModel, RelatedToUUIDModel, UUIDModel,
)
class TestSaveLoad(TestCase):
def test_uuid_instance(self):
instance = UUIDModel.objects.create(field=uuid.uuid4())
loaded = UUIDModel.objects.get()
self.assertEqual(loaded.field, instance.field)
def test_str_instance_no_hyphens(self):
UUIDModel.objects.create(field='550e8400e29b41d4a716446655440000')
loaded = UUIDModel.objects.get()
self.assertEqual(loaded.field, uuid.UUID('550e8400e29b41d4a716446655440000'))
def test_str_instance_hyphens(self):
UUIDModel.objects.create(field='550e8400-e29b-41d4-a716-446655440000')
loaded = UUIDModel.objects.get()
self.assertEqual(loaded.field, uuid.UUID('550e8400e29b41d4a716446655440000'))
def test_str_instance_bad_hyphens(self):
UUIDModel.objects.create(field='550e84-00-e29b-41d4-a716-4-466-55440000')
loaded = UUIDModel.objects.get()
self.assertEqual(loaded.field, uuid.UUID('550e8400e29b41d4a716446655440000'))
def test_null_handling(self):
NullableUUIDModel.objects.create(field=None)
loaded = NullableUUIDModel.objects.get()
self.assertEqual(loaded.field, None)
def test_wrong_value(self):
self.assertRaisesMessage(
ValueError, 'badly formed hexadecimal UUID string',
UUIDModel.objects.get, field='not-a-uuid')
self.assertRaisesMessage(
ValueError, 'badly formed hexadecimal UUID string',
UUIDModel.objects.create, field='not-a-uuid')
class TestMigrations(TestCase):
def test_deconstruct(self):
field = models.UUIDField()
name, path, args, kwargs = field.deconstruct()
self.assertEqual(kwargs, {})
class TestQuerying(TestCase):
def setUp(self):
self.objs = [
NullableUUIDModel.objects.create(field=uuid.uuid4()),
NullableUUIDModel.objects.create(field='550e8400e29b41d4a716446655440000'),
NullableUUIDModel.objects.create(field=None),
]
def test_exact(self):
self.assertSequenceEqual(
NullableUUIDModel.objects.filter(field__exact='550e8400e29b41d4a716446655440000'),
[self.objs[1]]
)
def test_isnull(self):
self.assertSequenceEqual(
NullableUUIDModel.objects.filter(field__isnull=True),
[self.objs[2]]
)
class TestSerialization(TestCase):
test_data = '[{"fields": {"field": "550e8400-e29b-41d4-a716-446655440000"}, "model": "model_fields.uuidmodel", "pk": null}]'
def test_dumping(self):
instance = UUIDModel(field=uuid.UUID('550e8400e29b41d4a716446655440000'))
data = serializers.serialize('json', [instance])
self.assertEqual(json.loads(data), json.loads(self.test_data))
def test_loading(self):
instance = list(serializers.deserialize('json', self.test_data))[0].object
self.assertEqual(instance.field, uuid.UUID('550e8400-e29b-41d4-a716-446655440000'))
class TestValidation(TestCase):
def test_invalid_uuid(self):
field = models.UUIDField()
with self.assertRaises(exceptions.ValidationError) as cm:
field.clean('550e8400', None)
self.assertEqual(cm.exception.code, 'invalid')
self.assertEqual(cm.exception.message % cm.exception.params, "'550e8400' is not a valid UUID.")
def test_uuid_instance_ok(self):
field = models.UUIDField()
field.clean(uuid.uuid4(), None) # no error
class TestAsPrimaryKey(TestCase):
def test_creation(self):
PrimaryKeyUUIDModel.objects.create()
loaded = PrimaryKeyUUIDModel.objects.get()
self.assertIsInstance(loaded.pk, uuid.UUID)
def test_uuid_pk_on_save(self):
saved = PrimaryKeyUUIDModel.objects.create(id=None)
loaded = PrimaryKeyUUIDModel.objects.get()
self.assertIsNotNone(loaded.id, None)
self.assertEqual(loaded.id, saved.id)
def test_uuid_pk_on_bulk_create(self):
u1 = PrimaryKeyUUIDModel()
u2 = PrimaryKeyUUIDModel(id=None)
PrimaryKeyUUIDModel.objects.bulk_create([u1, u2])
# Check that the two objects were correctly created.
u1_found = PrimaryKeyUUIDModel.objects.filter(id=u1.id).exists()
u2_found = PrimaryKeyUUIDModel.objects.exclude(id=u1.id).exists()
self.assertTrue(u1_found)
self.assertTrue(u2_found)
self.assertEqual(PrimaryKeyUUIDModel.objects.count(), 2)
def test_underlying_field(self):
pk_model = PrimaryKeyUUIDModel.objects.create()
RelatedToUUIDModel.objects.create(uuid_fk=pk_model)
related = RelatedToUUIDModel.objects.get()
self.assertEqual(related.uuid_fk.pk, related.uuid_fk_id)
def test_update_with_related_model_instance(self):
# regression for #24611
u1 = PrimaryKeyUUIDModel.objects.create()
u2 = PrimaryKeyUUIDModel.objects.create()
r = RelatedToUUIDModel.objects.create(uuid_fk=u1)
RelatedToUUIDModel.objects.update(uuid_fk=u2)
r.refresh_from_db()
self.assertEqual(r.uuid_fk, u2)
def test_update_with_related_model_id(self):
u1 = PrimaryKeyUUIDModel.objects.create()
u2 = PrimaryKeyUUIDModel.objects.create()
r = RelatedToUUIDModel.objects.create(uuid_fk=u1)
RelatedToUUIDModel.objects.update(uuid_fk=u2.pk)
r.refresh_from_db()
self.assertEqual(r.uuid_fk, u2)
|
[
"rodrigosoaresilva@gmail.com"
] |
rodrigosoaresilva@gmail.com
|
dfe5d53f68e2eb3bdd1ddc125e337e11bdf6a65c
|
310acdc816471356063121a966f6243eb5ee4bc3
|
/tests/test_preprocessing/test_pandas_array_utils.py
|
cb8bff9e375ebebcfbbd656b3f9c8e8b2a787acd
|
[
"MIT"
] |
permissive
|
octoenergy/timeserio
|
e3d1b79d7425448346bc52ef2ae8c6daf625d368
|
fbf99a05e420e684a941dd8223d07183644ced2d
|
refs/heads/master
| 2023-04-06T22:19:29.835755
| 2022-10-10T08:33:55
| 2022-10-10T08:33:55
| 196,452,519
| 69
| 12
|
MIT
| 2023-03-25T02:06:46
| 2019-07-11T19:18:04
|
Python
|
UTF-8
|
Python
| false
| false
| 1,391
|
py
|
import pytest
import numpy as np
import numpy.testing as npt
import timeserio.ini as ini
from timeserio.preprocessing.pandas import array_to_dataframe
from timeserio.data.mock import mock_fit_data
N_TIMES = 3
N_IDS = 2
N_ROWS = N_IDS * N_TIMES
N_DIMS = 2
@pytest.fixture
def df():
return mock_fit_data(periods=N_TIMES, ids=np.arange(N_IDS))
def arr1d():
return np.random.rand(N_ROWS)
def arr2d():
return np.random.rand(N_ROWS, N_DIMS)
@pytest.mark.parametrize('arr, n_dims', [
(arr1d(), 1),
(arr2d(), 2),
])
def test_create_df_from_array(arr, n_dims):
df = array_to_dataframe(arr, 'col')
npt.assert_array_equal(df.values, arr.reshape(-1, n_dims))
assert df.columns.levels[0] == ['col']
assert all(df.columns.levels[1] == list(range(n_dims)))
@pytest.mark.parametrize('arr, n_dims', [
(arr1d(), 1),
(arr2d(), 2),
])
def test_insert_into_flat_idx_df(df, arr, n_dims):
df = df[[ini.Columns.target]]
df = array_to_dataframe(arr, 'col', df=df)
df = df[[ini.Columns.target, 'col']]
assert df.values.shape == (N_ROWS, n_dims + 1)
@pytest.mark.parametrize('arr, n_dims', [
(arr1d(), 1),
(arr2d(), 2),
])
def test_insert_into_multi_idx_df(df, arr, n_dims):
df = df[['embedding']]
df = array_to_dataframe(arr, 'col', df=df)
df = df[['embedding', 'col']]
assert df.values.shape == (N_ROWS, n_dims + 2)
|
[
"igor.gotlibovych@gmail.com"
] |
igor.gotlibovych@gmail.com
|
60f78b5003d5bffe777c03021b48f46106dcd905
|
eed20283ee98a6d782e9e347eb2470edf4e52c94
|
/advanceagro/home/migrations/0009_document.py
|
43409c1ad9ff4b1fe5039fae37f2aa7d18b3764d
|
[] |
no_license
|
Yeasincse/AdvanceAgro
|
3d4d087345c67abb9c544d3b8523144930aa7c63
|
45c2e4c87b48809e11959c985efe207cb4286674
|
refs/heads/master
| 2020-03-08T07:54:16.349487
| 2018-03-21T16:27:30
| 2018-03-21T16:27:30
| 128,006,751
| 1
| 0
| null | 2018-04-04T04:26:39
| 2018-04-04T04:26:38
| null |
UTF-8
|
Python
| false
| false
| 522
|
py
|
# Generated by Django 2.0.3 on 2018-03-14 17:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0008_dailyroutine'),
]
operations = [
migrations.CreateModel(
name='Document',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('documents', models.TextField(verbose_name='Documents')),
],
),
]
|
[
"rayhancse08@gmail.com"
] |
rayhancse08@gmail.com
|
a740dfdfc1c6e8b2ea785e9d98d6ec7bf5fb31b5
|
bee070783a9318e69bc8624a69832a690b89943f
|
/day1.py
|
02dabe4f73e1b86d887eeb88578166a6f6bd8c45
|
[] |
no_license
|
fredrikljung93/advent-of-code-2020
|
ecf46b414968d8bc10837dcc4662237785e0a5e3
|
72723c5db0d2fa52b8e4a0fbcae034bd347d3b3a
|
refs/heads/master
| 2023-01-28T05:04:20.353451
| 2020-12-07T18:26:32
| 2020-12-07T18:26:32
| 318,645,837
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 719
|
py
|
#!/usr/bin/python3
path = 'puzzleinputs/day1.txt'
numbers = list(map(int, open(path, 'r').read().splitlines()))
numbersCount = range(len(numbers))
def part_one():
for x in numbersCount:
for y in numbersCount:
xn = numbers[x]
xy = numbers[y]
if xn + xy == 2020:
return xn * xy
return -1
def part_two():
for x in numbersCount:
for y in numbersCount:
for z in numbersCount:
xn = numbers[x]
xy = numbers[y]
xz = numbers[z]
if xn + xy + xz == 2020:
return xn * xy * xz
return -1
print("Part 1:", part_one())
print("Part 2:", part_two())
|
[
"fredrik.ljung@tellox.se"
] |
fredrik.ljung@tellox.se
|
bd1e29f61ac532abaf00b760de61ed4c126e3c7e
|
2ea38499ba0d3f249b7b8cb14b460af13ebe13e1
|
/sum of quare of N no.py
|
4a9c3bb96c55d8b186f021339e50e36a5df391d0
|
[] |
no_license
|
amantyagi95/python-beginner-projects
|
03e209f8c4ef5cf0883d9affe6500b5f6178a27f
|
b6ff594f6cda2d92d7b9849da58e2f1628efc323
|
refs/heads/master
| 2022-10-12T16:16:16.891821
| 2020-06-08T09:39:12
| 2020-06-08T09:39:12
| 269,071,736
| 3
| 0
| null | 2020-06-03T11:37:22
| 2020-06-03T11:37:22
| null |
UTF-8
|
Python
| false
| false
| 161
|
py
|
def sum(n):
if n==1:
return 1
return n**2 + sum(n-1)
print(sum(5))
#2nd method
sum = lambda n: 1 if n==1 else n**2+sum(n-1)
print(sum(12))
|
[
"noreply@github.com"
] |
amantyagi95.noreply@github.com
|
7559e1db5479677878ffe230531c5b0aeb163a3a
|
2b48fd923dbf9bd6fda9905f345e7fd8455df737
|
/deeplearning.py
|
af5e3a3de671d1ddd806d8715c60aa5af43b371d
|
[] |
no_license
|
medo/Telco
|
53ea17bb76d49b178b8e986cfe64fe6ed1c62eb0
|
602dd4ac48998e1c05c7a90556a3ac5faf1e3aa7
|
refs/heads/master
| 2021-01-18T11:42:52.066838
| 2016-06-02T20:20:32
| 2016-06-02T20:20:32
| 59,232,529
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 7,147
|
py
|
import pandas as pd
import numpy as np
from sklearn import cross_validation
from sklearn.cross_validation import StratifiedKFold
from sklearn.cross_validation import train_test_split
from sklearn.metrics import *
from sklearn.preprocessing import OneHotEncoder
from sklearn.feature_extraction import DictVectorizer
from sklearn.decomposition import TruncatedSVD
from sklearn.preprocessing import *
from sklearn.feature_selection import SelectKBest
from keras.models import Sequential
from keras.layers.core import *
from keras.optimizers import Adadelta
from keras.wrappers.scikit_learn import KerasClassifier
from sklearn import decomposition, pipeline, metrics, grid_search
from sklearn.linear_model import LinearRegression
from keras.optimizers import SGD
def encode_onehot(df, cols):
"""
One-hot encoding is applied to columns specified in a pandas DataFrame.
Modified from: https://gist.github.com/kljensen/5452382
Details:
http://en.wikipedia.org/wiki/One-hot
http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html
@param df pandas DataFrame
@param cols a list of columns to encode
@return a DataFrame with one-hot encoding
"""
vec = DictVectorizer()
vec_data = pd.DataFrame(vec.fit_transform(df[cols].to_dict(outtype='records')).toarray())
vec_data.columns = vec.get_feature_names()
vec_data.index = df.index
df = df.drop(cols, axis=1)
df = pd.concat([df, vec_data], axis=1)
return df
scores = ['precision', 'recall', 'f-score', 'support']
def get_cross_validation_scores(clf, X, y, n_folds=2, labels=['M', 'R'], NN=False):
cross_validation_scores = np.zeros((len(labels) + 1, len(scores), n_folds))
i = 0
for train, test in StratifiedKFold(y, n_folds=n_folds):
clf.fit(X[train], y[train])
if NN:
y_pred = model.predict_classes(X[test])
else:
y_pred = clf.predict(X[test])
sc = precision_recall_fscore_support(y[test], y_pred, labels=labels)
tsc = precision_recall_fscore_support(y[test], y_pred)
for s in range(len(scores)):
for l in range(len(labels) + 1):
if (l == len(labels)):
continue
cross_validation_scores[l][s][i] = sc[s][l]
cross_validation_scores[len(labels)][0][i] = precision_score(y[test], y_pred)
cross_validation_scores[len(labels)][1][i] = recall_score(y[test], y_pred)
cross_validation_scores[len(labels)][2][i] = f1_score(y[test], y_pred)
i += 1
return cross_validation_scores
def mean(x): return "%.5f" % (sum(x) / len(x))
def cross_validation_report(cv, labels):
row_format ="{:>15}" * (len(scores) + 1)
print row_format.format("", *scores)
for l in range(len(labels)):
print row_format.format(labels[l], *map(mean, cv[l]))
cv_tr = np.zeros((len(scores)))
for s in range(len(scores)):
cv_tr[s] = 0.0
for l in range(len(labels)): cv_tr[s] += float(map(mean, cv[l])[s])
cv_tr = map(lambda x: x / len(labels), cv_tr)
print row_format.format("total/av", *cv_tr)
train = pd.read_csv("train.csv")
test = pd.read_csv("test.csv")
contract = pd.read_csv("contract_ref.csv")
train_ready = train
test_ready = test
def convert_gender(g):
return {"Female": "F", "f": "F", "F": "F", "Male": "M", "m": "M", "M":"M",
"Not Entered":"Unknown","Unknown":"Unknown"}[g]
contract["GENDER"] = contract["GENDER"].apply(convert_gender)
contract["VALUE_SEGMENT"][pd.isnull(contract["VALUE_SEGMENT"])] = "Unknown"
contract["HANDSET_NAME"][pd.isnull(contract["HANDSET_NAME"])] = "Other"
contract["AGE"][contract["AGE"] < 10] = 99
contract["AGE"][contract["AGE"] == 99] = contract["AGE"].median()
#contract["APPLE"] = contract["HANDSET_NAME"].apply(lambda x: x.lower().count("apple") > 0)
#contract = contract.drop(["HANDSET_NAME"], axis=1)
def convert_segment(s):
return {"Core": 1, "Med-Low": 2, "Med-High": 3, "High":4,
"Premium": 5, "Platinum": 6, "Unknown": 0}[s]
contract["VALUE_SEGMENT"] = contract["VALUE_SEGMENT"].apply(convert_segment)
contract = encode_onehot(contract, ["GENDER"])
contract["AGE_UNKNOWN"] = contract["AGE"] == 99
contract = encode_onehot(contract, ["HANDSET_NAME"])
# contract["APPLE"] = contract["HANDSET_NAME"].apply(lambda x: x.lower().count("apple") > 0)
# contract["GALAXY"] = contract["HANDSET_NAME"].apply(lambda x: x.lower().count("galaxy") > 0)
contract = contract.drop(["RATE_PLAN"], axis=1)
def feature_engineer_usage(ds):
global contract
cols = ["206_USAGE", "207_USAGE", "208_USAGE", "209_USAGE", "210_USAGE"]
s_cols = ["206_SESSION_COUNT", "207_SESSION_COUNT", "208_SESSION_COUNT", "209_SESSION_COUNT", "210_SESSION_COUNT"]
ds["211_USAGE"] = 0
ds["211_SESSION_COUNT"] = 0
ds["tmp"] = ''
ds["s_tmp"] = ''
def predict(s, m):
vals = map(int, s.split(",")[:-1])
reg = LinearRegression()
t = np.array(range(0, 5))
t.shape = (len(t), 1)
reg.fit(t, vals)
return reg.predict(m)
# return np.poly1d(np.polyfit(t, vals, 3))(6)
for i in cols: ds['tmp'] += ds[i].astype('string') + ','
for i in s_cols: ds['s_tmp'] += ds[i].astype('string') + ','
ds['211_USAGE'] = ds.apply(lambda row: predict(row['tmp'], 6), axis=1)
ds['211_SESSION_COUNT'] = ds.apply(lambda row: predict(row['s_tmp'], 6), axis=1)
ds["MEAN"] = 0
ds["s_MEAN"] = 0
for i in cols: ds["MEAN"] += ds[i]
for i in s_cols: ds["s_MEAN"] += ds[i]
ds["MEAN"] /= 5.0
ds["s_MEAN"] /= 5.0
# df = train[["CONTRACT_KEY", "211_USAGE", "MEAN","TARGET", "210_USAGE"]]
df = ds
df = ds.drop(["tmp","s_tmp", "MEAN", "s_MEAN"], axis=1)
# df.merge(contract)
return df
train_ready = feature_engineer_usage(train)
test_ready = feature_engineer_usage(test)
train_ready.merge(contract)
q = train_ready
# q["TARGET"] = q["TARGET"].apply(lambda x: True if x == 1 else False)
#grid = GridSearchCV(estimator=model, param_grid=dict(n_estimators=ns))
X = q[(q.keys().difference(['TARGET', "CONTRACT_KEY"]))].values
y = q["TARGET"].values
#y.shape = (len(y), 1)
def create_model():
sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
model = Sequential()
model.add(Dense(100, input_dim=X.shape[1], init='normal', activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(100, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(100, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy',
optimizer=sgd,
metrics=['accuracy'])
return model
model = KerasClassifier(build_fn=create_model, nb_epoch=500, batch_size=100)
# svd = TruncatedSVD(n_components=200)
scl = StandardScaler()
#rbm = BernoulliRBM()
# kbst = SelectKBest(k=100)
mdl = model
# Create the pipeline
clf = pipeline.Pipeline([('scl', scl), ('svm', mdl)])
labels = [0, 1]
cv = get_cross_validation_scores(clf, X, y, labels=labels)
cross_validation_report(cv, labels)
|
[
"mohamed@farghal.com"
] |
mohamed@farghal.com
|
8415f662fb71412f3e2c7ded733a8de6fe78f748
|
ac00b21cc9921e1ab3d76c4a12fbcd2e5c9164b1
|
/app.py
|
7e785d5456a8a0adfea2284baaafd7393e0b5a4c
|
[] |
no_license
|
seanwayland/web-scraping-challenge
|
3c6a0bf4cab0f661d021fecb5c8b5d0244b1cfeb
|
b5ea8016b72b9397793799fed2ac1e9ecb75f5ec
|
refs/heads/master
| 2022-04-21T17:11:42.938066
| 2020-04-22T23:19:47
| 2020-04-22T23:19:47
| 257,058,135
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 560
|
py
|
from flask import Flask, render_template, jsonify
from scape_mars import scrape
from database import getLatest, update
# Import our pymongo library, which lets us connect our Flask app to our Mongo database.
import pymongo
# Create an instance of our Flask app.
app = Flask(__name__)
#update()
#index
@app.route('/')
def index():
mars = getLatest()
return render_template('index.html', mars = mars )
@app.route('/scrape')
def scrapethatbadboy():
update()
return index()
#run the app
if __name__ == '__main__':
app.run(debug=True)
|
[
"seanwayland@gmail.com"
] |
seanwayland@gmail.com
|
233be026059d2cd589600f4613b11fc8d698b63b
|
d2cf0946da1ebcc8d64b1aa21d9824a15e84dbb6
|
/fast_randint.py
|
e916a3856ec814b7a8ddbf084fb16c9cb1eb47b8
|
[] |
no_license
|
danrouse/hsbg-sim
|
dcc93fc6a0bbcd6739713a74e7da3e2f2524debf
|
cd121ac948f794e278481303fd208cd37b55b7b1
|
refs/heads/master
| 2021-03-30T08:09:53.706240
| 2020-03-17T13:10:38
| 2020-03-17T13:10:38
| 248,031,175
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 280
|
py
|
from random import random
def randint(min, max):
"""
Generate a random integer between min and max (inclusive)
See https://eli.thegreenplace.net/2018/slow-and-fast-methods-for-generating-random-integers-in-python/
"""
return min + int(random() * (max - min))
|
[
"dan@squarefoot.com"
] |
dan@squarefoot.com
|
0f39dc3f9ac1bb11a387e97f43343e6be4edf91d
|
161c61743a29e05e9f50415addebd7b8beab929c
|
/Nova Fase/recipe__oauth_login.py
|
6d6a49f061f8f5f04f97390776bf935ac1249826
|
[] |
no_license
|
julianaibiapina/Data_Science
|
f4d1ad53f6136aa199b429cd18bec23a74d5fe7d
|
febfc95f2ec4d31cfba3b437f1cf183d736cd940
|
refs/heads/master
| 2020-04-27T15:18:55.455630
| 2019-08-17T04:26:25
| 2019-08-17T04:26:25
| 174,441,080
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,287
|
py
|
import os
import sys
import twitter
from twitter.oauth import write_token_file, read_token_file
from twitter.oauth_dance import oauth_dance
# Go to http://twitter.com/apps/new to create an app and get these items
# See also http://dev.twitter.com/pages/oauth_single_token
APP_NAME = 'Análise de Bolhas Sociais'
CONSUMER_KEY = 'u0W4cRMSNbJEaP2Bs5TWKcP86'
CONSUMER_SECRET = 'fqAsaJsxiIhSvrnIFXCa7Ro01yAhWW0RIf6uMjv3Bu1nl5UA0v'
def oauth_login(app_name=APP_NAME,
consumer_key=CONSUMER_KEY,
consumer_secret=CONSUMER_SECRET,
token_file='out/twitter.oauth'):
try:
(access_token, access_token_secret) = read_token_file(token_file)
except IOError as e:
(access_token, access_token_secret) = oauth_dance(app_name, consumer_key,
consumer_secret)
if not os.path.isdir('out'):
os.mkdir('out')
write_token_file(token_file, access_token, access_token_secret)
print (sys.stderr + " OAuth Success. Token file stored to " + token_file)
return twitter.Twitter(auth=twitter.oauth.OAuth(access_token, access_token_secret,
consumer_key, consumer_secret))
if __name__ == '__main__':
oauth_login(APP_NAME, CONSUMER_KEY, CONSUMER_SECRET)
|
[
"julianibiapina@alu.ufc.br"
] |
julianibiapina@alu.ufc.br
|
759e898eb926ca254d2bcdcf6b8888a75bf98097
|
e52dd265d3cbb5bdd0300c8dcad6e3329507e573
|
/main.py
|
b97bcc5d7c30ce9698df43058fcdeb471f059ab8
|
[] |
no_license
|
fchimasanchez/centered-difference-approximation
|
32b42e225373360c2fc69a038604fdbd3b240abe
|
eee0d960970811aa6131a9b2acdae5a7cbeacbc3
|
refs/heads/master
| 2021-01-11T13:51:20.974690
| 2017-04-06T04:34:37
| 2017-04-06T04:34:37
| 86,633,616
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 886
|
py
|
## Author: Francisco Chima Sanchez
## Created: 2016-03-10
## Last Modified: 2017-04-05
# This script demonstrates the centered-difference approximation to the derivative of a function. Specifically, while
# test $f(x) = sin^2 x$ at the point $x = 1$. The step size is set at $h = 1$ and with each iteration, reduced by a factor
# of 10. Algorithm is iterated until the error in approximation is less than $10^{-8}$
import math
p = 1 # Evaluate functions at $x = 1$
h = 1 # Initial step size
error = 1 # Set error artificially high to initialize
j = 0 # Initial number of iterations
# Actual algorithm part
while error > 1e-8:
Df = ((math.sin(p+h))**2-(math.sin(p-h))**2)/(2*h) # Centered-difference formula
error = abs(Df - math.sin(2*p)) # Error made in approximation
h = 0.1 * h # Reduce step size by factor of 10
j = j + 1
print(j,"iterations needed for convergence")
|
[
"noreply@github.com"
] |
fchimasanchez.noreply@github.com
|
d9cf1e72ca0d73b2db6e9d7b9fa7918eaa9b90b7
|
20cee9c08b1d61a17e6dd44315e2854f80d7a86a
|
/mit_ocw/pipelines.py
|
418d3affcd4bb4622dd961fe61fea91bee00ba36
|
[] |
no_license
|
hamedwaezi01-zz/mit-crawler
|
81ad3878422e4c25beae0d4d5031ecc0b2049dfc
|
f5fb122771d09bf70a65a10c922e3249af585655
|
refs/heads/main
| 2023-06-04T12:58:26.856823
| 2021-06-30T17:57:38
| 2021-06-30T17:57:38
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 360
|
py
|
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
class MitOcwPipeline:
def process_item(self, item, spider):
return item
|
[
"arya.araban21@gmail.com"
] |
arya.araban21@gmail.com
|
ca4803bce63684d0a7204f2fb29547b672a2a7da
|
b985f1abc806f7cf4962374140668aa65e330a71
|
/controllers/__init__.py
|
c6a46ef47a1ecee34cd2712acced245b070428ef
|
[] |
no_license
|
Decentorage/User-Node
|
2665862706130c1bc14f2a7248a3ed0c0603088a
|
30afa71ac68a4bea73d28796186be390d00dd8c5
|
refs/heads/main
| 2023-06-26T11:21:00.136614
| 2021-07-27T13:44:13
| 2021-07-27T13:44:13
| 357,921,279
| 0
| 0
| null | 2021-07-27T13:44:14
| 2021-04-14T13:48:13
|
Python
|
UTF-8
|
Python
| false
| false
| 88
|
py
|
from .page_controller import PageController
from .progress_bar import init_progress_bar
|
[
"amr.ahmed.abdelbaqi@gmail.com"
] |
amr.ahmed.abdelbaqi@gmail.com
|
e578c71d2381a32ba6ecfb4b8fa005fdcfdde462
|
39d4504ec1da8975fac526d6801b94f4348b6b61
|
/research/real_nvp/celeba_formatting.py
|
8718df2a9e0d7003fa3e844002629fbe0f611aef
|
[
"Apache-2.0"
] |
permissive
|
vincentcheny/models
|
fe0ff5888e6ee00a0d4fa5ee14154acdbeebe7ad
|
afb1a59fc1bc792ac72d1a3e22e2469020529788
|
refs/heads/master
| 2020-07-23T21:38:24.559521
| 2019-11-15T07:50:11
| 2019-11-15T07:50:11
| 207,712,649
| 1
| 0
|
Apache-2.0
| 2019-09-11T03:12:31
| 2019-09-11T03:12:31
| null |
UTF-8
|
Python
| false
| false
| 3,242
|
py
|
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
r"""CelebA dataset formating.
Download img_align_celeba.zip from
http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html under the
link "Align&Cropped Images" in the "Img" directory and list_eval_partition.txt
under the link "Train/Val/Test Partitions" in the "Eval" directory. Then do:
unzip img_align_celeba.zip
Use the script as follow:
python celeba_formatting.py \
--partition_fn [PARTITION_FILE_PATH] \
--file_out [OUTPUT_FILE_PATH_PREFIX] \
--fn_root [CELEBA_FOLDER] \
--set [SUBSET_INDEX]
"""
from __future__ import print_function
import os
import os.path
import scipy.io
import scipy.io.wavfile
import scipy.ndimage
import tensorflow as tf
tf.flags.DEFINE_string("file_out", "",
"Filename of the output .tfrecords file.")
tf.flags.DEFINE_string("fn_root", "", "Name of root file path.")
tf.flags.DEFINE_string("partition_fn", "", "Partition file path.")
tf.flags.DEFINE_string("set", "", "Name of subset.")
FLAGS = tf.flags.FLAGS
def _int64_feature(value):
return tf.train.Feature(int64_list=tf.train.Int64List(value=[value]))
def _bytes_feature(value):
return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))
def main():
"""Main converter function."""
# Celeb A
with open(FLAGS.partition_fn, "r") as infile:
img_fn_list = infile.readlines()
img_fn_list = [elem.strip().split() for elem in img_fn_list]
img_fn_list = [elem[0] for elem in img_fn_list if elem[1] == FLAGS.set]
fn_root = FLAGS.fn_root
num_examples = len(img_fn_list)
file_out = "%s.tfrecords" % FLAGS.file_out
writer = tf.python_io.TFRecordWriter(file_out)
for example_idx, img_fn in enumerate(img_fn_list):
if example_idx % 1000 == 0:
print(example_idx, "/", num_examples)
image_raw = scipy.ndimage.imread(os.path.join(fn_root, img_fn))
rows = image_raw.shape[0]
cols = image_raw.shape[1]
depth = image_raw.shape[2]
image_raw = image_raw.tostring()
example = tf.train.Example(
features=tf.train.Features(
feature={
"height": _int64_feature(rows),
"width": _int64_feature(cols),
"depth": _int64_feature(depth),
"image_raw": _bytes_feature(image_raw)
}
)
)
writer.write(example.SerializeToString())
writer.close()
if __name__ == "__main__":
main()
|
[
"1155107977@link.cuhk.edu.hk"
] |
1155107977@link.cuhk.edu.hk
|
da5469f3023d10572bb8efd19e36506011a01ed8
|
fdde0c634bb6f38bdb0a632a25fd769e2c68c211
|
/contrib/spendfrom/spendfrom.py
|
45b564e186a1b2709d3178f4bc3749ed39a4884a
|
[
"MIT"
] |
permissive
|
BulldogCrew/bulldog
|
a29bc4edfff4ab4e274a52dc4274395a548a11dc
|
833ac01aa7b8a7d12dc410ce6bb21a1ac01b2bb3
|
refs/heads/master
| 2020-06-24T06:02:15.605980
| 2019-08-14T23:29:54
| 2019-08-14T23:29:54
| 198,871,261
| 2
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 10,035
|
py
|
#!/usr/bin/env python
#
# Use the raw transactions API to spend BULLs received on particular addresses,
# and send any change back to that same address.
#
# Example usage:
# spendfrom.py # Lists available funds
# spendfrom.py --from=ADDRESS --to=ADDRESS --amount=11.00
#
# Assumes it will talk to a bulldogd or bulldog-Qt running
# on localhost.
#
# Depends on jsonrpc
#
from decimal import *
import getpass
import math
import os
import os.path
import platform
import sys
import time
from jsonrpc import ServiceProxy, json
BASE_FEE=Decimal("0.001")
def check_json_precision():
"""Make sure json library being used does not lose precision converting BTC values"""
n = Decimal("20000000.00000003")
satoshis = int(json.loads(json.dumps(float(n)))*1.0e8)
if satoshis != 2000000000000003:
raise RuntimeError("JSON encode/decode loses precision")
def determine_db_dir():
"""Return the default location of the bulldog data directory"""
if platform.system() == "Darwin":
return os.path.expanduser("~/Library/Application Support/bulldog/")
elif platform.system() == "Windows":
return os.path.join(os.environ['APPDATA'], "bulldog")
return os.path.expanduser("~/.bulldog")
def read_bitcoin_config(dbdir):
"""Read the bulldog.conf file from dbdir, returns dictionary of settings"""
from ConfigParser import SafeConfigParser
class FakeSecHead(object):
def __init__(self, fp):
self.fp = fp
self.sechead = '[all]\n'
def readline(self):
if self.sechead:
try: return self.sechead
finally: self.sechead = None
else:
s = self.fp.readline()
if s.find('#') != -1:
s = s[0:s.find('#')].strip() +"\n"
return s
config_parser = SafeConfigParser()
config_parser.readfp(FakeSecHead(open(os.path.join(dbdir, "bulldog.conf"))))
return dict(config_parser.items("all"))
def connect_JSON(config):
"""Connect to a bulldog JSON-RPC server"""
testnet = config.get('testnet', '0')
testnet = (int(testnet) > 0) # 0/1 in config file, convert to True/False
if not 'rpcport' in config:
config['rpcport'] = 51475 if testnet else 21473
connect = "http://%s:%s@127.0.0.1:%s"%(config['rpcuser'], config['rpcpassword'], config['rpcport'])
try:
result = ServiceProxy(connect)
# ServiceProxy is lazy-connect, so send an RPC command mostly to catch connection errors,
# but also make sure the bulldogd we're talking to is/isn't testnet:
if result.getmininginfo()['testnet'] != testnet:
sys.stderr.write("RPC server at "+connect+" testnet setting mismatch\n")
sys.exit(1)
return result
except:
sys.stderr.write("Error connecting to RPC server at "+connect+"\n")
sys.exit(1)
def unlock_wallet(bulldogd):
info = bulldogd.getinfo()
if 'unlocked_until' not in info:
return True # wallet is not encrypted
t = int(info['unlocked_until'])
if t <= time.time():
try:
passphrase = getpass.getpass("Wallet is locked; enter passphrase: ")
bulldogd.walletpassphrase(passphrase, 5)
except:
sys.stderr.write("Wrong passphrase\n")
info = bulldogd.getinfo()
return int(info['unlocked_until']) > time.time()
def list_available(bulldogd):
address_summary = dict()
address_to_account = dict()
for info in bulldogd.listreceivedbyaddress(0):
address_to_account[info["address"]] = info["account"]
unspent = bulldogd.listunspent(0)
for output in unspent:
# listunspent doesn't give addresses, so:
rawtx = bulldogd.getrawtransaction(output['txid'], 1)
vout = rawtx["vout"][output['vout']]
pk = vout["scriptPubKey"]
# This code only deals with ordinary pay-to-bulldog-address
# or pay-to-script-hash outputs right now; anything exotic is ignored.
if pk["type"] != "pubkeyhash" and pk["type"] != "scripthash":
continue
address = pk["addresses"][0]
if address in address_summary:
address_summary[address]["total"] += vout["value"]
address_summary[address]["outputs"].append(output)
else:
address_summary[address] = {
"total" : vout["value"],
"outputs" : [output],
"account" : address_to_account.get(address, "")
}
return address_summary
def select_coins(needed, inputs):
# Feel free to improve this, this is good enough for my simple needs:
outputs = []
have = Decimal("0.0")
n = 0
while have < needed and n < len(inputs):
outputs.append({ "txid":inputs[n]["txid"], "vout":inputs[n]["vout"]})
have += inputs[n]["amount"]
n += 1
return (outputs, have-needed)
def create_tx(bulldogd, fromaddresses, toaddress, amount, fee):
all_coins = list_available(bulldogd)
total_available = Decimal("0.0")
needed = amount+fee
potential_inputs = []
for addr in fromaddresses:
if addr not in all_coins:
continue
potential_inputs.extend(all_coins[addr]["outputs"])
total_available += all_coins[addr]["total"]
if total_available < needed:
sys.stderr.write("Error, only %f BTC available, need %f\n"%(total_available, needed));
sys.exit(1)
#
# Note:
# Python's json/jsonrpc modules have inconsistent support for Decimal numbers.
# Instead of wrestling with getting json.dumps() (used by jsonrpc) to encode
# Decimals, I'm casting amounts to float before sending them to bulldogd.
#
outputs = { toaddress : float(amount) }
(inputs, change_amount) = select_coins(needed, potential_inputs)
if change_amount > BASE_FEE: # don't bother with zero or tiny change
change_address = fromaddresses[-1]
if change_address in outputs:
outputs[change_address] += float(change_amount)
else:
outputs[change_address] = float(change_amount)
rawtx = bulldogd.createrawtransaction(inputs, outputs)
signed_rawtx = bulldogd.signrawtransaction(rawtx)
if not signed_rawtx["complete"]:
sys.stderr.write("signrawtransaction failed\n")
sys.exit(1)
txdata = signed_rawtx["hex"]
return txdata
def compute_amount_in(bulldogd, txinfo):
result = Decimal("0.0")
for vin in txinfo['vin']:
in_info = bulldogd.getrawtransaction(vin['txid'], 1)
vout = in_info['vout'][vin['vout']]
result = result + vout['value']
return result
def compute_amount_out(txinfo):
result = Decimal("0.0")
for vout in txinfo['vout']:
result = result + vout['value']
return result
def sanity_test_fee(bulldogd, txdata_hex, max_fee):
class FeeError(RuntimeError):
pass
try:
txinfo = bulldogd.decoderawtransaction(txdata_hex)
total_in = compute_amount_in(bulldogd, txinfo)
total_out = compute_amount_out(txinfo)
if total_in-total_out > max_fee:
raise FeeError("Rejecting transaction, unreasonable fee of "+str(total_in-total_out))
tx_size = len(txdata_hex)/2
kb = tx_size/1000 # integer division rounds down
if kb > 1 and fee < BASE_FEE:
raise FeeError("Rejecting no-fee transaction, larger than 1000 bytes")
if total_in < 0.01 and fee < BASE_FEE:
raise FeeError("Rejecting no-fee, tiny-amount transaction")
# Exercise for the reader: compute transaction priority, and
# warn if this is a very-low-priority transaction
except FeeError as err:
sys.stderr.write((str(err)+"\n"))
sys.exit(1)
def main():
import optparse
parser = optparse.OptionParser(usage="%prog [options]")
parser.add_option("--from", dest="fromaddresses", default=None,
help="addresses to get BULLs from")
parser.add_option("--to", dest="to", default=None,
help="address to get send BULLs to")
parser.add_option("--amount", dest="amount", default=None,
help="amount to send")
parser.add_option("--fee", dest="fee", default="0.0",
help="fee to include")
parser.add_option("--datadir", dest="datadir", default=determine_db_dir(),
help="location of bulldog.conf file with RPC username/password (default: %default)")
parser.add_option("--testnet", dest="testnet", default=False, action="store_true",
help="Use the test network")
parser.add_option("--dry_run", dest="dry_run", default=False, action="store_true",
help="Don't broadcast the transaction, just create and print the transaction data")
(options, args) = parser.parse_args()
check_json_precision()
config = read_bitcoin_config(options.datadir)
if options.testnet: config['testnet'] = True
bulldogd = connect_JSON(config)
if options.amount is None:
address_summary = list_available(bulldogd)
for address,info in address_summary.iteritems():
n_transactions = len(info['outputs'])
if n_transactions > 1:
print("%s %.8f %s (%d transactions)"%(address, info['total'], info['account'], n_transactions))
else:
print("%s %.8f %s"%(address, info['total'], info['account']))
else:
fee = Decimal(options.fee)
amount = Decimal(options.amount)
while unlock_wallet(bulldogd) == False:
pass # Keep asking for passphrase until they get it right
txdata = create_tx(bulldogd, options.fromaddresses.split(","), options.to, amount, fee)
sanity_test_fee(bulldogd, txdata, amount*Decimal("0.01"))
if options.dry_run:
print(txdata)
else:
txid = bulldogd.sendrawtransaction(txdata)
print(txid)
if __name__ == '__main__':
main()
|
[
"kyzer@traebit.ca"
] |
kyzer@traebit.ca
|
07a88df8f6b8bca555d695eae713ffc1d79908d6
|
16dd0999755a7dcc5e0d98eecae7c63c7ca6073e
|
/03 代码/unsupervised_learning_example.py
|
74d3de6731b8e8e45b8d1c482f04809d89a88e48
|
[] |
no_license
|
kexiaojiu/Machine-learning-applications
|
36f21c5ddac884ed3bd28c515fa84fde9debcfb6
|
dddd9873a21e84212148a41b77855fdeef519626
|
refs/heads/master
| 2021-05-18T00:25:33.486088
| 2020-04-04T12:36:03
| 2020-04-04T12:36:03
| 251,022,476
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 728
|
py
|
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 30 22:17:53 2020
@author: kejie
功能：
无监督学习导入数据集示例
"""
# 导入函数库
from sklearn.datasets import load_boston
boston = load_boston()
print(boston.data.shape)
data,target = load_boston(return_X_y=True)
print(data.shape)
print(target.shape)
from sklearn.datasets import load_iris
iris = load_iris()
print(iris.data.shape)
data,target = load_iris(return_X_y=True)
print(data.shape)
print(target.shape)
list(iris.target_names)
from sklearn.datasets import load_digits
digits = load_digits()
print(digits.data.shape)
print(digits.target.shape)
print(digits.images.shape)
import matplotlib.pyplot as plt
plt.matshow(digits.images[1])
plt.show()
|
[
"kexiaojiu@163.com"
] |
kexiaojiu@163.com
|
75b84a2c990c4e00c6ae5874568cefe5e671a85a
|
c26ca09a29953222a5cc1aa609226d1f38e66f99
|
/upload_form/admin.py
|
8503c93d02c828e463b5bc88e13595c389686d8d
|
[] |
no_license
|
hypnopompicindex/django_upload_form
|
bbea046b27d854799317b53cd60fe99442ba9532
|
0e0bd29a507c8cdf40e75e3f8dbb353afc77fe49
|
refs/heads/master
| 2020-06-05T04:57:48.872773
| 2014-03-23T19:53:12
| 2014-03-23T19:53:12
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 100
|
py
|
from django.contrib import admin
from upload_form.models import Upload
admin.site.register(Upload)
|
[
"hypnopompicindex@gmail.com"
] |
hypnopompicindex@gmail.com
|
a46d9d5489514896ac01a40a28661c31dfef3055
|
005b1534c4bd8fe68d97082f88991919a6afc317
|
/gsextract/parsers/ipv6_packet.py
|
4d917f8786408a1fa9520684aaa917713b5a69d0
|
[
"MIT"
] |
permissive
|
newspaperman/gsextract-b8
|
5b4f9245f5318ba16050d3077e7cd2fcda927e9f
|
84935984648f82dd4d78aaa7abae8892788fe4f7
|
refs/heads/master
| 2023-06-17T08:04:51.546924
| 2021-07-08T20:48:32
| 2021-07-08T20:48:32
| 314,383,527
| 1
| 1
| null | 2021-07-08T20:48:33
| 2020-11-19T22:20:24
|
Python
|
UTF-8
|
Python
| false
| false
| 2,778
|
py
|
# This is a generated file! Please edit source .ksy file and use kaitai-struct-compiler to rebuild
from pkg_resources import parse_version
from kaitaistruct import __version__ as ks_version, KaitaiStruct, KaitaiStream, BytesIO
if parse_version(ks_version) < parse_version('0.7'):
raise Exception("Incompatible Kaitai Struct Python API: 0.7 or later is required, but you have %s" % (ks_version))
from .tcp_segment import TcpSegment
from .udp_datagram import UdpDatagram
from .ipv4_packet import Ipv4Packet
class Ipv6Packet(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.version = self._io.read_bits_int(4)
self.traffic_class = self._io.read_bits_int(8)
self.flow_label = self._io.read_bits_int(20)
self._io.align_to_byte()
self.payload_length = self._io.read_u2be()
self.next_header_type = self._io.read_u1()
self.hop_limit = self._io.read_u1()
self.src_ipv6_addr = self._io.read_bytes(16)
self.dst_ipv6_addr = self._io.read_bytes(16)
_on = self.next_header_type
if _on == 17:
self.next_header = UdpDatagram(self._io)
elif _on == 0:
self.next_header = self._root.OptionHopByHop(self._io, self, self._root)
elif _on == 4:
self.next_header = Ipv4Packet(self._io)
elif _on == 6:
self.next_header = TcpSegment(self._io)
elif _on == 59:
self.next_header = self._root.NoNextHeader(self._io, self, self._root)
self.rest = self._io.read_bytes_full()
class NoNextHeader(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
pass
class OptionHopByHop(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.next_header_type = self._io.read_u1()
self.hdr_ext_len = self._io.read_u1()
self.body = self._io.read_bytes((self.hdr_ext_len - 1))
_on = self.next_header_type
if _on == 0:
self.next_header = self._root.OptionHopByHop(self._io, self, self._root)
elif _on == 6:
self.next_header = TcpSegment(self._io)
elif _on == 59:
self.next_header = self._root.NoNextHeader(self._io, self, self._root)
|
[
"james.pavur@cs.ox.ac.uk"
] |
james.pavur@cs.ox.ac.uk
|
ee6194b50dfb87cae108e46a8d2f2971dbdce6d6
|
81649d5ac2927a09df229c1429e9091da262a88e
|
/app/offer_microservice_integration/__init__.py
|
f79e6d2d23d4247b7381ef9d5686a3bfd12519eb
|
[] |
no_license
|
ondrejkajinek/applifting_exercise
|
5d10506751f0bbe5eccf9af5f2e5160aa5ec57c6
|
ffec6f29c77e3748217ddb3ce6d89f014cac4791
|
refs/heads/master
| 2022-11-18T00:31:10.177877
| 2020-07-20T06:57:40
| 2020-07-20T06:57:40
| 276,981,211
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 46
|
py
|
"""App for Offer microservice integration."""
|
[
"ondrej.kajinek@gmail.com"
] |
ondrej.kajinek@gmail.com
|
46029c9b20532b50eb20a134440c95ad4d113ec4
|
3c000380cbb7e8deb6abf9c6f3e29e8e89784830
|
/venv/Lib/site-packages/cobra/modelimpl/vns/mparam.py
|
bb2c32853fc54a279615f07087237d812c9f09e1
|
[] |
no_license
|
bkhoward/aciDOM
|
91b0406f00da7aac413a81c8db2129b4bfc5497b
|
f2674456ecb19cf7299ef0c5a0887560b8b315d0
|
refs/heads/master
| 2023-03-27T23:37:02.836904
| 2021-03-26T22:07:54
| 2021-03-26T22:07:54
| 351,855,399
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 8,482
|
py
|
# coding=UTF-8
# **********************************************************************
# Copyright (c) 2013-2020 Cisco Systems, Inc. All rights reserved
# written by zen warriors, do not modify!
# **********************************************************************
from cobra.mit.meta import ClassMeta
from cobra.mit.meta import StatsClassMeta
from cobra.mit.meta import CounterMeta
from cobra.mit.meta import PropMeta
from cobra.mit.meta import Category
from cobra.mit.meta import SourceRelationMeta
from cobra.mit.meta import NamedSourceRelationMeta
from cobra.mit.meta import TargetRelationMeta
from cobra.mit.meta import DeploymentPathMeta, DeploymentCategory
from cobra.model.category import MoCategory, PropCategory, CounterCategory
from cobra.mit.mo import Mo
# ##################################################
class MParam(Mo):
"""
A meta parameter. The model utilizes a generic configuration consisting of MFolders and MParams. This enables configuration to be specified as a hierarchy. The metadata within this model consists of a key, a type (integer, boolean), and other attributes related to parameters.
"""
meta = ClassMeta("cobra.model.vns.MParam")
meta.moClassName = "vnsMParam"
meta.rnFormat = "mParam-%(key)s"
meta.category = MoCategory.REGULAR
meta.label = "L4-L7 Services Meta Parameter"
meta.writeAccessMask = 0x1
meta.readAccessMask = 0x1
meta.isDomainable = False
meta.isReadOnly = True
meta.isConfigurable = False
meta.isDeletable = False
meta.isContextRoot = False
meta.childClasses.add("cobra.model.fault.Counts")
meta.childClasses.add("cobra.model.health.Inst")
meta.childClasses.add("cobra.model.vns.Composite")
meta.childClasses.add("cobra.model.vns.Range")
meta.childClasses.add("cobra.model.vns.RsConnector")
meta.childClasses.add("cobra.model.vns.Comparison")
meta.childNamesAndRnPrefix.append(("cobra.model.vns.RsConnector", "rsconnector"))
meta.childNamesAndRnPrefix.append(("cobra.model.fault.Counts", "fltCnts"))
meta.childNamesAndRnPrefix.append(("cobra.model.health.Inst", "health"))
meta.childNamesAndRnPrefix.append(("cobra.model.vns.Range", "range-"))
meta.childNamesAndRnPrefix.append(("cobra.model.vns.Composite", "comp-"))
meta.childNamesAndRnPrefix.append(("cobra.model.vns.Comparison", "cmp-"))
meta.parentClasses.add("cobra.model.vns.MFolder")
meta.superClasses.add("cobra.model.vns.AMItem")
meta.superClasses.add("cobra.model.naming.NamedObject")
meta.superClasses.add("cobra.model.vns.AMName")
meta.rnPrefixes = [
('mParam-', True),
]
prop = PropMeta("str", "cardinality", "cardinality", 15478, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.defaultValue = 1
prop.defaultValueStr = "1"
prop._addConstant("1", "1", 1)
prop._addConstant("n", "n", 2)
prop._addConstant("unspecified", "unspecified", 0)
meta.props.add("cardinality", prop)
prop = PropMeta("str", "childAction", "childAction", 4, PropCategory.CHILD_ACTION)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop._addConstant("deleteAll", "deleteall", 16384)
prop._addConstant("deleteNonPresent", "deletenonpresent", 8192)
prop._addConstant("ignore", "ignore", 4096)
meta.props.add("childAction", prop)
prop = PropMeta("str", "dType", "dType", 5058, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.defaultValue = 3
prop.defaultValueStr = "str"
prop._addConstant("int", "int", 1)
prop._addConstant("none", "none", 0)
prop._addConstant("real", "real", 2)
prop._addConstant("str", "str", 3)
meta.props.add("dType", prop)
prop = PropMeta("str", "description", "description", 5053, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.range = [(0, 512)]
meta.props.add("description", prop)
prop = PropMeta("str", "dispFeature", "dispFeature", 17616, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.range = [(0, 512)]
meta.props.add("dispFeature", prop)
prop = PropMeta("str", "dispLabel", "dispLabel", 17617, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.range = [(0, 512)]
meta.props.add("dispLabel", prop)
prop = PropMeta("str", "dispType", "dispType", 18628, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.defaultValue = 1
prop.defaultValueStr = "advanced"
prop._addConstant("advanced", "advanced", 1)
prop._addConstant("basic", "basic", 0)
meta.props.add("dispType", prop)
prop = PropMeta("str", "dn", "dn", 1, PropCategory.DN)
prop.label = "None"
prop.isDn = True
prop.isImplicit = True
prop.isAdmin = True
prop.isCreateOnly = True
meta.props.add("dn", prop)
prop = PropMeta("str", "key", "key", 7360, PropCategory.REGULAR)
prop.label = "None"
prop.isConfig = True
prop.isAdmin = True
prop.isCreateOnly = True
prop.isNaming = True
prop.range = [(1, 512)]
meta.props.add("key", prop)
prop = PropMeta("str", "lcOwn", "lcOwn", 9, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.defaultValue = 0
prop.defaultValueStr = "local"
prop._addConstant("implicit", "implicit", 4)
prop._addConstant("local", "local", 0)
prop._addConstant("policy", "policy", 1)
prop._addConstant("replica", "replica", 2)
prop._addConstant("resolveOnBehalf", "resolvedonbehalf", 3)
meta.props.add("lcOwn", prop)
prop = PropMeta("str", "mandatory", "mandatory", 5059, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.defaultValue = False
prop.defaultValueStr = "no"
prop._addConstant("no", None, False)
prop._addConstant("yes", None, True)
meta.props.add("mandatory", prop)
prop = PropMeta("str", "modTs", "modTs", 7, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.defaultValue = 0
prop.defaultValueStr = "never"
prop._addConstant("never", "never", 0)
meta.props.add("modTs", prop)
prop = PropMeta("str", "monPolDn", "monPolDn", 14839, PropCategory.REGULAR)
prop.label = "Monitoring policy attached to this observable object"
prop.isImplicit = True
prop.isAdmin = True
meta.props.add("monPolDn", prop)
prop = PropMeta("str", "name", "name", 5051, PropCategory.REGULAR)
prop.label = "Name"
prop.isConfig = True
prop.isAdmin = True
prop.range = [(1, 64)]
prop.regex = ['[a-zA-Z0-9_.:-]+']
meta.props.add("name", prop)
prop = PropMeta("str", "nameAlias", "nameAlias", 28417, PropCategory.REGULAR)
prop.label = "Name alias"
prop.isConfig = True
prop.isAdmin = True
prop.range = [(0, 63)]
prop.regex = ['[a-zA-Z0-9_.-]+']
meta.props.add("nameAlias", prop)
prop = PropMeta("str", "rn", "rn", 2, PropCategory.RN)
prop.label = "None"
prop.isRn = True
prop.isImplicit = True
prop.isAdmin = True
prop.isCreateOnly = True
meta.props.add("rn", prop)
prop = PropMeta("str", "srcMapping", "srcMapping", 35422, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.range = [(0, 512)]
meta.props.add("srcMapping", prop)
prop = PropMeta("str", "status", "status", 3, PropCategory.STATUS)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop._addConstant("created", "created", 2)
prop._addConstant("deleted", "deleted", 8)
prop._addConstant("modified", "modified", 4)
meta.props.add("status", prop)
prop = PropMeta("str", "validation", "validation", 5057, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.range = [(0, 512)]
meta.props.add("validation", prop)
meta.namingProps.append(getattr(meta.props, "key"))
def __init__(self, parentMoOrDn, key, markDirty=True, **creationProps):
namingVals = [key]
Mo.__init__(self, parentMoOrDn, markDirty, *namingVals, **creationProps)
# End of package file
# ##################################################
|
[
"bkhoward@live.com"
] |
bkhoward@live.com
|
a8974bac990ff3b3045311d1748f27ce8408247f
|
be39b38dddcdc98cab0c29189f5fb74f8c709f16
|
/fast-news/amp.py
|
fa81c385bdab960408b09d477512bba4b15e1195
|
[] |
no_license
|
nate-parrott/fast-news
|
80bd371a56188475a0bb647fc630ee54f388bf96
|
45ed735744bd138e65e643fd1713fd8e2d107b1e
|
refs/heads/master
| 2020-04-06T05:53:44.724331
| 2017-01-02T09:05:44
| 2017-01-02T09:05:44
| 50,979,865
| 0
| 1
| null | 2016-09-19T05:03:22
| 2016-02-03T06:41:10
|
Python
|
UTF-8
|
Python
| false
| false
| 982
|
py
|
import urllib2
import json
KEY = 'AIzaSyD2SfIR_qen6zRn0nIJIg9fmgwk-AE4Xr0'
URL = 'https://acceleratedmobilepageurl.googleapis.com/v1/ampUrls:batchGet'
def amp_fetch(urls):
body = json.dumps({"urls": urls})
request = urllib2.Request(URL, body, headers={"X-Goog-Api-Key": KEY, "Content-Type": "application/json"})
resp = json.loads(urllib2.urlopen(request).read())
print resp
results = {}
for result in resp.get('ampUrls', []):
orig = result['originalUrl']
if orig in urls and result.get('cdnAmpUrl'):
results[orig] = result['cdnAmpUrl']
return results
def fetch_amp_urls_for_articles(articles):
articles_by_url = {a.url: a for a in articles}
for url, amp_url in amp_fetch(articles_by_url.keys()).iteritems():
articles_by_url[url].amp_url = amp_url
if __name__ == '__main__':
print amp_fetch('http://www.nytimes.com/2016/10/14/magazine/after-donald-trump-will-more-women-believe-their-own-stories.html')
|
[
"nateparro2t@gmail.com"
] |
nateparro2t@gmail.com
|
4b281940f3a6e5b80f317bb1235da88d5aa9db7c
|
71876da1f508d596b256ad86e24c4e58aef5e8c9
|
/venues/urls.py
|
893a53f010542f7e01d52ed6bfe4337ec97c7e5d
|
[
"Apache-2.0"
] |
permissive
|
kmedlen/hsvdotbeer
|
d447103293e21360d7c79f45667e8a5f446c2d41
|
99a8e31dcbe3b4acfe5f082b6593ae6367bd62fb
|
refs/heads/master
| 2020-05-02T15:53:25.328458
| 2019-03-12T19:55:22
| 2019-03-12T19:55:22
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 306
|
py
|
from rest_framework.routers import DefaultRouter
from django.urls import path, include
from . import views
router = DefaultRouter()
router.register(r'', views.VenueViewSet)
router.register(r'apiconfiguration/', views.VenueAPIConfigurationViewSet)
urlpatterns = [
path('', include(router.urls)),
]
|
[
"michael@openrobotics.org"
] |
michael@openrobotics.org
|
ff2a0f4841a30a2bfc554cea07c8dc73955573d9
|
863e50a08950c2405b93f7a3e5e7a3a28f477b54
|
/tests/test_select.py
|
a7e4f025beacec1f9ac01ce27761cd8c320b068e
|
[] |
no_license
|
dillontsmith/SQLBuilder
|
9f7c9a324d5d4a1e739d6c4b39009107f0ea18e2
|
8272a8835a64c4b6b50a301fe5404c99b3b50e4c
|
refs/heads/master
| 2022-01-09T00:34:46.134441
| 2019-05-27T04:59:45
| 2019-05-27T04:59:45
| 188,762,302
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,302
|
py
|
import os
import pathlib
import pickle
import pytest
import shutil
import sqlite3
import sys
testPath = pathlib.Path(os.path.dirname(os.path.realpath(__file__)))
genPath = pathlib.Path(os.path.join(testPath,'..','gen','mods'))
sys.path.insert(0,genPath)
import sqlbuilder.builders as builder
depPath = os.path.join(testPath,'dep')
class TestSelect():
def setup_class(self):
testDb = os.path.join(depPath, 'test.db')
dbCopy = os.path.join(depPath, 'copy_test.db')
shutil.copy(testDb,dbCopy)
self.conn = sqlite3.connect(dbCopy)
self.crsr = self.conn.cursor()
@pytest.fixture
def single_field_cursor(self):
cursor = pickle.load(open(os.path.join(depPath, 'select_single_field_cursor.pickle'), 'rb'))
return cursor
@pytest.fixture
def multi_field_cursor(self):
cursor = pickle.load(open(os.path.join(depPath, 'select_multi_field_cursor.pickle'), 'rb'))
return cursor
@pytest.fixture
def inner_join_cursor(self):
cursor = pickle.load(open(os.path.join(depPath, 'select_inner_join_cursor.pickle'), 'rb'))
return cursor
def test_select_statement(self, single_field_cursor, multi_field_cursor, inner_join_cursor):
select = builder.Select('ParticipantDemographics','id')
args = select.generate()
self.crsr.execute(*args)
cursor = self.crsr.fetchall()
assert cursor == single_field_cursor, 'Output of single field select statement is incorrect'
select = builder.Select('ParticipantDemographics',['id','dob'])
args = select.generate()
self.crsr.execute(*args)
cursor = self.crsr.fetchall()
assert cursor == multi_field_cursor, 'Output of multi field select statement is incorrect'
demographics = builder.Select('ParticipantDemographics', ['dob', 'iq', 'gender', 'race', 'ethnicity'])
data = builder.Select('ExperimentData', ['taskname', 'score'])
args = demographics.inner_join(data,('id','=','id'))
self.crsr.execute(*args)
cursor = self.crsr.fetchall()
assert cursor == inner_join_cursor, 'Output of inner join select statement is incorrect'
def teardown_class(self):
self.conn.close()
os.remove(os.path.join(depPath, 'copy_test.db'))
|
[
"Dillon.th.smith@gmail.com"
] |
Dillon.th.smith@gmail.com
|
1398d8476e518a243605ff0b583a64d29064c22d
|
f2fc344b95a3f0b98c34ba5fe1a8c3e08b176c2b
|
/Global/detection_util/util.py
|
be10881fc4077015d12a28f5ae5b0a04021ad627
|
[
"MIT"
] |
permissive
|
microsoft/Bringing-Old-Photos-Back-to-Life
|
bc6ca6b84ac0f20e50fb9f7ebc45297d3ec10b1f
|
33875eccf4ebcd3665cf38cc56f3a0ce563d3a9c
|
refs/heads/master
| 2023-08-20T06:50:51.131642
| 2022-07-23T06:52:29
| 2022-07-23T06:52:29
| 274,594,200
| 14,159
| 1,863
|
MIT
| 2023-06-07T04:43:29
| 2020-06-24T06:37:58
|
Python
|
UTF-8
|
Python
| false
| false
| 7,981
|
py
|
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import os
import sys
import time
import shutil
import platform
import numpy as np
from datetime import datetime
import torch
import torchvision as tv
import torch.backends.cudnn as cudnn
# from torch.utils.tensorboard import SummaryWriter
import yaml
import matplotlib.pyplot as plt
from easydict import EasyDict as edict
import torchvision.utils as vutils
##### option parsing ######
def print_options(config_dict):
print("------------ Options -------------")
for k, v in sorted(config_dict.items()):
print("%s: %s" % (str(k), str(v)))
print("-------------- End ----------------")
def save_options(config_dict):
from time import gmtime, strftime
file_dir = os.path.join(config_dict["checkpoint_dir"], config_dict["name"])
mkdir_if_not(file_dir)
file_name = os.path.join(file_dir, "opt.txt")
with open(file_name, "wt") as opt_file:
opt_file.write(os.path.basename(sys.argv[0]) + " " + strftime("%Y-%m-%d %H:%M:%S", gmtime()) + "\n")
opt_file.write("------------ Options -------------\n")
for k, v in sorted(config_dict.items()):
opt_file.write("%s: %s\n" % (str(k), str(v)))
opt_file.write("-------------- End ----------------\n")
def config_parse(config_file, options, save=True):
with open(config_file, "r") as stream:
config_dict = yaml.safe_load(stream)
config = edict(config_dict)
for option_key, option_value in vars(options).items():
config_dict[option_key] = option_value
config[option_key] = option_value
if config.debug_mode:
config_dict["num_workers"] = 0
config.num_workers = 0
config.batch_size = 2
if isinstance(config.gpu_ids, str):
config.gpu_ids = [int(x) for x in config.gpu_ids.split(",")][0]
print_options(config_dict)
if save:
save_options(config_dict)
return config
###### utility ######
def to_np(x):
return x.cpu().numpy()
def prepare_device(use_gpu, gpu_ids):
if use_gpu:
cudnn.benchmark = True
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
if isinstance(gpu_ids, str):
gpu_ids = [int(x) for x in gpu_ids.split(",")]
torch.cuda.set_device(gpu_ids[0])
device = torch.device("cuda:" + str(gpu_ids[0]))
else:
torch.cuda.set_device(gpu_ids)
device = torch.device("cuda:" + str(gpu_ids))
print("running on GPU {}".format(gpu_ids))
else:
device = torch.device("cpu")
print("running on CPU")
return device
###### file system ######
def get_dir_size(start_path="."):
total_size = 0
for dirpath, dirnames, filenames in os.walk(start_path):
for f in filenames:
fp = os.path.join(dirpath, f)
total_size += os.path.getsize(fp)
return total_size
def mkdir_if_not(dir_path):
if not os.path.exists(dir_path):
os.makedirs(dir_path)
##### System related ######
class Timer:
def __init__(self, msg):
self.msg = msg
self.start_time = None
def __enter__(self):
self.start_time = time.time()
def __exit__(self, exc_type, exc_value, exc_tb):
elapse = time.time() - self.start_time
print(self.msg % elapse)
###### interactive ######
def get_size(start_path="."):
total_size = 0
for dirpath, dirnames, filenames in os.walk(start_path):
for f in filenames:
fp = os.path.join(dirpath, f)
total_size += os.path.getsize(fp)
return total_size
def clean_tensorboard(directory):
tensorboard_list = os.listdir(directory)
SIZE_THRESH = 100000
for tensorboard in tensorboard_list:
tensorboard = os.path.join(directory, tensorboard)
if get_size(tensorboard) < SIZE_THRESH:
print("deleting the empty tensorboard: ", tensorboard)
#
if os.path.isdir(tensorboard):
shutil.rmtree(tensorboard)
else:
os.remove(tensorboard)
def prepare_tensorboard(config, experiment_name=datetime.now().strftime("%Y-%m-%d %H-%M-%S")):
tensorboard_directory = os.path.join(config.checkpoint_dir, config.name, "tensorboard_logs")
mkdir_if_not(tensorboard_directory)
clean_tensorboard(tensorboard_directory)
tb_writer = SummaryWriter(os.path.join(tensorboard_directory, experiment_name), flush_secs=10)
# try:
# shutil.copy('outputs/opt.txt', tensorboard_directory)
# except:
# print('cannot find file opt.txt')
return tb_writer
def tb_loss_logger(tb_writer, iter_index, loss_logger):
for tag, value in loss_logger.items():
tb_writer.add_scalar(tag, scalar_value=value.item(), global_step=iter_index)
def tb_image_logger(tb_writer, iter_index, images_info, config):
### Save and write the output into the tensorboard
tb_logger_path = os.path.join(config.output_dir, config.name, config.train_mode)
mkdir_if_not(tb_logger_path)
for tag, image in images_info.items():
if tag == "test_image_prediction" or tag == "image_prediction":
continue
image = tv.utils.make_grid(image.cpu())
image = torch.clamp(image, 0, 1)
tb_writer.add_image(tag, img_tensor=image, global_step=iter_index)
tv.transforms.functional.to_pil_image(image).save(
os.path.join(tb_logger_path, "{:06d}_{}.jpg".format(iter_index, tag))
)
def tb_image_logger_test(epoch, iter, images_info, config):
url = os.path.join(config.output_dir, config.name, config.train_mode, "val_" + str(epoch))
if not os.path.exists(url):
os.makedirs(url)
scratch_img = images_info["test_scratch_image"].data.cpu()
if config.norm_input:
scratch_img = (scratch_img + 1.0) / 2.0
scratch_img = torch.clamp(scratch_img, 0, 1)
gt_mask = images_info["test_mask_image"].data.cpu()
predict_mask = images_info["test_scratch_prediction"].data.cpu()
predict_hard_mask = (predict_mask.data.cpu() >= 0.5).float()
imgs = torch.cat((scratch_img, predict_hard_mask, gt_mask), 0)
img_grid = vutils.save_image(
imgs, os.path.join(url, str(iter) + ".jpg"), nrow=len(scratch_img), padding=0, normalize=True
)
def imshow(input_image, title=None, to_numpy=False):
inp = input_image
if to_numpy or type(input_image) is torch.Tensor:
inp = input_image.numpy()
fig = plt.figure()
if inp.ndim == 2:
fig = plt.imshow(inp, cmap="gray", clim=[0, 255])
else:
fig = plt.imshow(np.transpose(inp, [1, 2, 0]).astype(np.uint8))
plt.axis("off")
fig.axes.get_xaxis().set_visible(False)
fig.axes.get_yaxis().set_visible(False)
plt.title(title)
###### vgg preprocessing ######
def vgg_preprocess(tensor):
# input is RGB tensor which ranges in [0,1]
# output is BGR tensor which ranges in [0,255]
tensor_bgr = torch.cat((tensor[:, 2:3, :, :], tensor[:, 1:2, :, :], tensor[:, 0:1, :, :]), dim=1)
# tensor_bgr = tensor[:, [2, 1, 0], ...]
tensor_bgr_ml = tensor_bgr - torch.Tensor([0.40760392, 0.45795686, 0.48501961]).type_as(tensor_bgr).view(
1, 3, 1, 1
)
tensor_rst = tensor_bgr_ml * 255
return tensor_rst
def torch_vgg_preprocess(tensor):
# pytorch version normalization
# note that both input and output are RGB tensors;
# input and output ranges in [0,1]
# normalize the tensor with mean and variance
tensor_mc = tensor - torch.Tensor([0.485, 0.456, 0.406]).type_as(tensor).view(1, 3, 1, 1)
tensor_mc_norm = tensor_mc / torch.Tensor([0.229, 0.224, 0.225]).type_as(tensor_mc).view(1, 3, 1, 1)
return tensor_mc_norm
def network_gradient(net, gradient_on=True):
if gradient_on:
for param in net.parameters():
param.requires_grad = True
else:
for param in net.parameters():
param.requires_grad = False
return net
|
[
"zhangboknight@gmail.com"
] |
zhangboknight@gmail.com
|
530b3a7222b01695ca779ac0f0eaa4bfb62655ba
|
4a18f9ec04aeb04903acde9368f21bac8999b631
|
/boot.py
|
fd668946295a3f633f6f0231e65a1ffb80071c08
|
[] |
no_license
|
xWasp97x/BulbsControl
|
4de80eaa285989329ec7751a3c4ccdeb21cc8d8c
|
fcef5cb472face34dc2f5525583f6f23bfc8345f
|
refs/heads/master
| 2020-12-27T05:24:08.045212
| 2020-02-02T13:53:19
| 2020-02-02T13:53:19
| 237,778,519
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 522
|
py
|
import esp
import wifi_manager
from updater import Updater
from machine import Timer
from time import sleep
esp.osdebug(None)
wifi = wifi_manager.WifiManager('/config/wifi.txt', '/config/networks.txt')
wifi_timer = Timer(-1)
wifi_timer.init(period=wifi.check_delay*1000, mode=Timer.PERIODIC, callback=lambda t: wifi.check_connection())
updater = Updater('/config/updater.txt')
updater_timer = Timer(-1)
updater_timer.init(period=updater.check_delay*1000, mode=Timer.PERIODIC, callback=lambda t: updater.fetch_update())
|
[
"wasp97@pop-os.localdomain"
] |
wasp97@pop-os.localdomain
|
560fdbb3b9dbc94953558372448e693322e3762f
|
eae9ed5acf06090336de50d5eef1dcb447ea03ca
|
/2020_NOV-2021_JAN/bj_20040_사이클게임.py
|
0133ed4754e06837d57bc1cacb5da4ec641d5782
|
[] |
no_license
|
SSAFY-3rd/algorithm-yongjoonseo
|
fec0ae86d52c71858a8b76c6eb71102f623b6990
|
60ce73ed81c0f9f44f219e5c52005cb1b812bc4b
|
refs/heads/master
| 2023-03-28T16:51:58.949458
| 2021-02-28T14:08:03
| 2021-02-28T14:08:03
| 316,280,484
| 0
| 0
| null | 2021-04-03T15:21:18
| 2020-11-26T16:12:45
|
Python
|
UTF-8
|
Python
| false
| false
| 1,583
|
py
|
# 평면상의 점 n개
# 어느 세 점도 일직선 위에 놓이지 않는다.
# 사이클: 한 끝점에서 모든 선분을 한 번씩만 지나 출발점으로 되돌아온다
# 사이클이 완성되었는지 판단하는 프로그램
# 출력:
# m번째 차례까지 하는 동안 이미 게임이 종료되었으면: 처음 번호
# m번째 차례까지도 종료되지 않았으면 0출력
# 체크할 조건
# 0 <= n <= 500000 // 3 <= m <= 1000000
# 입력이 많다 (m개)
# n개의 점은 0부터 n-1의 번호
# union-find 자료구조를 사용해본다.
# 새로 들어오는 a, b 둘다 이미 같은 집합에 있다면
# find(a) == find(b)라면 사이클 완성
import sys
input = sys.stdin.readline
def find(x, parents):
if parents[x] == x: return x
parents[x] = find(parents[x], parents)
return parents[x]
def union(x, y, parents, ranks):
xroot = find(x, parents)
yroot = find(y, parents)
if ranks[xroot] >= ranks[yroot]:
parents[yroot] = xroot
else:
parents[xroot] = yroot
if ranks[xroot] == ranks[yroot]:
ranks[xroot] += 1
def solution(n, m):
parents = [i for i in range(n)]
ranks = [0 for i in range(n)]
result = 0
found = False
for i in range(1, m+1):
a, b = map(int, input().split())
if found: continue
if find(a, parents) == find(b, parents):
result = i
found = True
else:
union(a, b, parents, ranks)
print(result)
if __name__ == '__main__':
solution(*map(int, input().split()))
|
[
"koreakkrea12@naver.com"
] |
koreakkrea12@naver.com
|
d2cae9d38d253e67ffb4bb8cc451c3ac92e53a89
|
ab30883ca1feff7665af7e6acf90248ce9ac2cea
|
/tests_next.py
|
1b9890d4f836fddbcaaa0e24e9c49cbdc872e3ac
|
[] |
no_license
|
WilliamJCole/IS211_Assignment6
|
8adfa17e96b340a6e84fe230434d9ab44d3cd741
|
37014c53adc33e488c61b68a1b3e1832e8a1fae6
|
refs/heads/master
| 2021-01-13T09:19:40.753829
| 2016-10-04T01:43:31
| 2016-10-04T01:43:31
| 69,926,023
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 9,430
|
py
|
import conversions_refactored as con
#TEMPERATURE CONVERSION TESTS--------------------------------------------------------------------------------------
#TEST FOR convert Celsius To Kelvin
print "TEST FOR convert Celsius To Kelvin"
tests = [(500.00, 773.15), (490.00, 763.15), (450.00, 723.15), (410.00, 683.15), (380.00, 653.15)]
for i, o in tests:
c = con.convert("Celsius", "Kelvin", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
print "TEST FOR convert Celsius To Fahrenheit"
#TEST FOR convert Celsius To Fahrenheit
tests = [(500.00, 932.00), (490.00, 914.00), (450.00, 842.00), (410.00, 770.00), (380.00, 716.00)]
for i, o in tests:
c = con.convert("Celsius", "Fahrenheit", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
print "TEST FOR convert Fahrenheit To Celsius"
#TEST FOR convert Fahrenheit To Celsius
tests = [(500.00, 932.00), (490.00, 914.00), (450.00, 842.00), (410.00, 770.00), (380.00, 716.00)]
for o, i in tests:
c = con.convert("Fahrenheit", "Celsius", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
print "TEST FOR conver tFahrenheit To Kelvin"
#TEST FOR convert Fahrenheit To Kelvin
tests = [(932.00, 773.15), (914.00, 763.15), (842.00, 723.15), (770.00, 683.15), (716.00, 653.15)]
for i, o in tests:
c = con.convert("Fahrenheit", "Kelvin", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
print "TEST FOR convert Kelvin To Fahrenheit"
#TEST FOR convert Kelvin To Fahrenheit
tests = [(932.00, 773.15), (914.00, 763.15), (842.00, 723.15), (770.00, 683.15), (716.00, 653.15)]
for o, i in tests:
c = con.convert("Kelvin", "Fahrenheit", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
print "TEST FOR convert Kelvin To Celsius"
#TEST FOR convert Kelvin To Celsius
tests = [(500.00, 773.15), (490.00, 763.15), (450.00, 723.15), (410.00, 683.15), (380.00, 653.15)]
for o, i in tests:
c = con.convert("Kelvin", "Celsius", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
#END OF TEMPERATURE TESTS---------------------------------------------------------------------------------------
print "-------------------------------------------------------------------------------\n"
#DISTANCE CONVERSION TESTS--------------------------------------------------------------------------------------
print "TEST FOR convert meters to miles"
#TEST FOR convert meters to miles
tests = [(0.48, 773.15), (0.47, 763.15), (0.45, 723.15), (0.42, 683.15), (0.41, 653.15)]
for o, i in tests:
c = con.convert("meters", "miles", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
print "TEST FOR convert meters to Yards"
#TEST FOR convert meters to Yards
tests = [(845.52, 773.15), (834.58, 763.15), (790.84, 723.15), (747.09, 683.15), (714.28, 653.15)]
for o, i in tests:
c = con.convert("meters", "Yards", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
print "TEST FOR convert miles to meters"
#TEST FOR convert miles to meters
tests = [(0.48, 772.49), (0.47, 756.39), (0.45, 724.21), (0.42, 675.93), (0.41, 659.83)]
for i, o in tests:
c = con.convert("miles", "meters", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
print "TEST FOR convert miles to Yards"
#TEST FOR convert miles to Yards
tests = [(0.48, 844.79), (0.47, 827.19), (0.45, 791.99), (0.42, 739.19), (0.41, 721.59)]
for i, o in tests:
c = con.convert("miles", "Yards", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
print "TEST FOR convert Yards to meters"
#TEST FOR convert Yards to meters
tests = [(772.49, 844.79), (756.39, 827.19), (724.20, 791.99), (675.92, 739.19), (659.83, 721.59)]
for o, i in tests:
c = con.convert("Yards", "meters", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
print "TEST FOR convert Yards to miles"
#TEST FOR convert Yards to miles
tests = [(0.48, 844.79), (0.47, 827.19), (0.45, 791.99), (0.42, 739.19), (0.41, 721.59)]
for o, i in tests:
c = con.convert("Yards", "miles", i)
if o==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(i, o, c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(i, o, c)
print ""
#END DISTANCE CONVERSION TEST---------------------------------------------------------------
print "-------------------------------------------------------------------------------\n"
#SAME UNIT TYPE CONVERSION------------------------------------------------------------
tests = [10.00, 10.00]
print "celsius to celsius"
c = con.convert("celsius", "celsius", tests[0])
if tests[1]==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(tests[0], tests[1], c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(tests[0], tests[1], c)
print ""
print "fahrenheit to fahrenheit"
c = con.convert("fahrenheit", "fahrenheit", tests[0])
if tests[1]==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(tests[0], tests[1], c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(tests[0], tests[1], c)
print ""
print "kelvin to kelvin"
c = con.convert("kelvin", "kelvin", tests[0])
if tests[1]==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(tests[0], tests[1], c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(tests[0], tests[1], c)
print ""
print "meters to meters"
c = con.convert("meters", "meters", tests[0])
if tests[1]==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(tests[0], tests[1], c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(tests[0], tests[1], c)
print ""
print "miles to miles"
c = con.convert("miles", "miles", tests[0])
if tests[1]==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(tests[0], tests[1], c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(tests[0], tests[1], c)
print ""
print "yards to yards"
c = con.convert("yards", "yards", tests[0])
if tests[1]==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(tests[0], tests[1], c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(tests[0], tests[1], c)
print ""
#END SAME UNIT TYPE CONVERSION------------------------------------------------------------
print "-------------------------------------------------------------------------------\n"
#INCOMPATIBLE UNIT TYPE CONVERSION-------------------------------------------------------
tests = [10.00, 10.00]
print "celsius to yards"
c = con.convert("celsius", "yards", tests[0])
if tests[1]==c:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST PASS"%(tests[0], tests[1], c)
else:
print "Input given: %.2f | Expected output: %.2f | Resultant output: %.2f | TEST FAIL"%(tests[0], tests[1], c)
print ""
|
[
"billy.cole@gmail.com"
] |
billy.cole@gmail.com
|
2a19d4bf77510a4d0cf772966204361c28dc3097
|
3f9d28984403cdd84b984d7a82eb6136018966a4
|
/purchase_vendor_item/models/product.py
|
371ddeaeae63a508ebb32dd5164ef5302c1728f5
|
[] |
no_license
|
joevm018/temasq
|
bee1c69aee4c87de415e66e236b40c28201e2951
|
74f003c6a009716bf26a6438f5ee48e7dfcbb030
|
refs/heads/master
| 2023-03-18T23:42:13.598853
| 2021-03-11T11:35:16
| 2021-03-11T11:35:16
| 346,671,390
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 632
|
py
|
# -*- coding: utf-8 -*-
from odoo import models, fields
class SupplierCost(models.Model):
_name = 'supplier.cost'
product_id = fields.Many2one('product.product', 'Product')
name = fields.Many2one('res.partner', 'Supplier', domain=[('supplier', '=', True)], required=True)
cost = fields.Float('Cost')
product_tmpl_id = fields.Many2one(
'product.template', 'Product Template',
index=True, ondelete='cascade', oldname='product_id')
class ProductProduct(models.Model):
_inherit = 'product.template'
supplier_ids = fields.One2many('supplier.cost', 'product_tmpl_id', string='Suppliers')
|
[
"esreejishnu@gmail.com"
] |
esreejishnu@gmail.com
|
f692d3a8ff4895709985c2f94e273f318a32ad90
|
80c8d422abaa734b88189f6d9cc960292c40f5b8
|
/src/detect_mouth.py
|
6ff0240d66439e5cd23f0bb9b403632d3a9d9658
|
[] |
no_license
|
pqzlol/Drowsy_Detection
|
08a1bf019657441f242560a3dd00cf5286770eae
|
f1a94348db9a45f27097854c54447c081257d8e4
|
refs/heads/master
| 2020-09-23T14:05:46.931559
| 2019-12-04T12:21:40
| 2019-12-04T12:21:40
| 225,506,426
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,011
|
py
|
#coding=utf-8
#导入需要的包
from scipy.spatial import distance as dist #算法库和数学工具包
from imutils.video import FileVideoStream
from imutils.video import VideoStream
from imutils import face_utils
import numpy as np #数学库，主要用于数组计算
import argparse #命令行解析包
import imutils #图像处理包
import time #时间包
import dlib #特征点标记库
import cv2 #opencv库
import matplotlib #绘图库
def mouth_aspect_ratio(mouth):
A = dist.euclidean(mouth[2],mouth[10])
B = dist.euclidean(mouth[3],mouth[9])
C = dist.euclidean(mouth[4],mouth[8])
mar1 = (A+B+C)/3.0
D= dist.euclidean(mouth[0],mouth[6])
E=dist.euclidean(mouth[12],mouth[16])
mar2=(D+E)/2.0
mar=mar1 /mar2
return mar
#define两个常数，一个用于眼睛纵横比以指示打哈欠，然后第二个常量用于比值高于阈值的连续帧数
# EAR阈值 EAR大于它，
THRESH = 0.6
# 当EAR大于阈值时，接连多少帧记一次打哈欠
CONSEC_FRAMES = 15
#储存ear比值
mar_vector = []
# 初始化打哈欠帧数总数和打哈欠总数
#frame_counter是纵横比大于THRESH的连续帧的总数
frame_counter = 0
#眨眼总数
yaw_counter = 0
#初始化dlib的人脸检测器（基于HOG），然后创建面部标志预测器
print("[INFO] loading facial landmark predictor...")
# 人脸检测器
detector = dlib.get_frontal_face_detector()
#人脸特征点检测器
predictor = dlib.shape_predictor("model/shape_predictor_68_face_landmarks.dat")
#获取嘴部的面部标志的索引
(mStart, mEnd) = face_utils.FACIAL_LANDMARKS_IDXS["mouth"]
# 启动视频流线程
print("[INFO] starting video stream thread...")
#使用文件的视频流
# vs = FileVideoStream(args["video"]).start()
# fileStream = True
#内置网络摄像头或USB摄像头
vs = VideoStream(src=0).start()
#使用Pi相机
# vs = VideoStream(usePiCamera=True).start()
fileStream = False
time.sleep(1.0)
flag=True
# 循环视频流的每帧
while flag:
#如果这是一个文件视频流，那么我们需要检查缓冲区中是否还有剩余的帧需要处理
if fileStream and not vs.more():
break
# 视频流中读取下一帧，然后调整大小并将其转换为灰度
frame = vs.read()
frame = imutils.resize(frame, width=450)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# 通过dlib的内置面部检测器检测灰度帧中的人脸
rects = detector(gray, 0)
# 遍历检测到的每个人脸，然后对每个人脸检测面部特征点
# 遍历每一个人脸
for rect in rects:
#确定面部区域的面部特征点，然后将面部特征点（x，y）坐标转换为NumPy阵列
#检测特征点
shape = predictor(gray, rect)
#面部特征点（x，y）坐标转换为NumPy阵列
shape = face_utils.shape_to_np(shape)
#提取嘴部坐标，然后使用坐标计算纵横比
mouth = shape[mStart:mEnd]
# 计算纵横比
MAR = mouth_aspect_ratio(mouth)
print('MAR= {0}'.format(MAR))
if len(mar_vector)>=251:
print mar_vector
#退出循环
flag=False
else:
mar_vector.append(MAR)
## 寻找嘴部轮廓
MouyhHull = cv2.convexHull(mouth)
# 绘制嘴部轮廓
cv2.drawContours(frame, [MouyhHull], -1, (0, 0, 255), 1)
# 如果MAR大于阈值，开始计算连续帧
if MAR > THRESH:
frame_counter += 1
# 如果MAR小于阈值
else:
# MAR大于阈值的总帧数大于等于EYE_AR_CONSEC_FRAMES记一次打哈欠
if frame_counter >= CONSEC_FRAMES:
yaw_counter += 1
# 重置MAR大于阈值的总帧数
frame_counter = 0
# 在图像上显示出打哈欠次数和EAR
cv2.putText(frame, "yaw: {}".format(yaw_counter), (10, 30),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
cv2.putText(frame, "MAR: {:.2f}".format(MAR), (300, 30),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
# show the frame
cv2.imshow("Frame", frame)
key = cv2.waitKey(1) & 0xFF
# 按“q“退出循环
if key == ord("q"):
break
# 关闭所有窗口和视频流
cv2.destroyAllWindows()
vs.stop()
|
[
"pqz234748@qq.com"
] |
pqz234748@qq.com
|
9dc6437ca72a9fa7a7a8cac21da3b4df79ddc2ea
|
f367eb55bb28e68ae34a0a9b7b6d15338c04f041
|
/unit_test.py
|
d4980b341a2c9bac74899b224369a09a7f2b1d7d
|
[] |
no_license
|
dandan611/proto_bear_in_medal_forest
|
b3616a2ee051f21de1f24db2b8740af25793d326
|
53163e534bdcea306422df3d261eecc61f3d6ab9
|
refs/heads/master
| 2022-11-21T14:13:27.371346
| 2020-07-24T17:40:08
| 2020-07-24T17:40:08
| 281,138,639
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,989
|
py
|
import time
import game_rule
from collections import deque
def testPrepareGame(field, bearPosition):
stage1Medals = deque([1,2,3,4,5,2])
stage1FieldMedals = deque([[1,1,2],[2,1,2],[3,1,3],[5,1,5],[3,2,2]])
# deque([[1,1,2],[2,1,2],[3,1,3],[4,1,4],[5,1,5],[3,2,2]])
stage1FieldBear = [3,2]
# 手配とメダルデッキの設定
hand = []
medalBox = []
for number in range(len(stage1Medals)):
if len(hand) < 5 :
hand.append(stage1Medals.popleft())
else :
medalBox.append(stage1Medals.popleft())
# 川フィールドのメダルを配置
for stage1FieldMedal in stage1FieldMedals:
field[stage1FieldMedal[0]][stage1FieldMedal[1]] += stage1FieldMedal[2]
# クマを配置
field[stage1FieldBear[0]][stage1FieldBear[1]] += 80
bearPosition = [3,2]
return field, medalBox, hand, bearPosition
if __name__ == "__main__":
# ゲームの準備
turn = 1
gameStatus = 0
# 手配
hand = []
# 落ちたメダル
dropMedals = []
# 川フィールド
field = [ [ 10 for j in range(5)] for i in range(6)]
# クマ座標
bearPosition = []
# メダル箱(デッキ)
medalBox = []
# ゲームの準備
field, medalBox, hand, bearPosition = testPrepareGame(field ,bearPosition)
while(True):
time.sleep(1)
# タイトル表示
game_rule.displayStatus(turn,medalBox,hand,field,bearPosition)
# プレイヤーのターン
selectMedal, selectLane = game_rule.selectDropMedal()
# メダル落下のターン
field, hand,dropMedals = game_rule.dropMedal(field,hand,selectMedal,selectLane)
print("落下したもの:",dropMedals)
# クマが落ちてしまった場合はゲームオーバー(game_rule.judgeGameに入れたほうがいいかも)
if len(dropMedals) > 0 and max(dropMedals) > 90 :
gameStatus = 2
break
# クマ移動のターン
field, bearPosition = game_rule.moveBear(field)
# 勝敗判定
gameStatus = game_rule.judgeGame(field, hand, bearPosition)
if gameStatus != 0 :
break
# ハンドのメダルを補充する
hand, medalBox = game_rule.refillMedal(hand, medalBox)
# ターンを進める
turn += 1
print()
# ゲーム終了時の情報
game_rule.displayStatus(turn,medalBox,hand,field,bearPosition)
if gameStatus == 1:
print("ゲームクリアです")
else :
if gameStatus == 3:
print("残りメダル数:",len(hand)+len(medalBox))
print("メダルがなくなってしまったため、ゲームオーバーです")
else :
print("落ちたもの：",dropMedals)
print("クマが滝に落ちてしまったので、ゲームオーバーです")
|
[
"kohonen_rnn@hotmail.co.jp"
] |
kohonen_rnn@hotmail.co.jp
|
19d71c985e26b7c38fca5d3ab6a6213bc89b6e32
|
7188b0e24e4e307561c6aaac133a49a9ea84f22e
|
/probing/dataset.py
|
a59c604ba8474f26ec7f45650556cfa49eaba6bd
|
[
"BSD-3-Clause"
] |
permissive
|
niceRAM/bert-ranking-analysis
|
bc8dd4f8a2229cc7a17a6c4cce1fd05c06e4b3e1
|
c17000abf4fb27ce631d403407522ff49586187e
|
refs/heads/master
| 2022-11-21T03:00:36.815118
| 2020-07-27T11:13:42
| 2020-07-27T11:13:42
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,016
|
py
|
import os
import math
import json
import torch
import logging
import numpy as np
from tqdm import tqdm
from torch.utils.data import Dataset
from collections import namedtuple, defaultdict
from torch.utils.data import DataLoader
from transformers import BertTokenizer
from dataset import pack_tensor_3D, load_qrels
logger = logging.getLogger(__name__)
logging.basicConfig(format = '%(asctime)s-%(levelname)s-%(name)s- %(message)s',
datefmt = '%d %H:%M:%S',
level = logging.INFO)
class ProbDataset(Dataset):
def __init__(self, embd_data_dir, msmarco_dir, mode, max_token_num):
qrels = defaultdict(list)
for qid, pid in zip(*load_qrels(f"{msmarco_dir}/qrels.{mode}.tsv")):
qrels[qid].append(pid)
self.qrels = dict(qrels)
self.data_lst = os.listdir(embd_data_dir)
self.embd_data_dir = embd_data_dir
self.max_token_num = max_token_num
def __len__(self):
return len(self.data_lst)
def __getitem__(self, item):
filename = self.data_lst[item]
qid, pid = filename[:-len(".npy")].split("-")
qid, pid = int(qid), int(pid)
hidden_states = np.load(f"{self.embd_data_dir}/{filename}")
hidden_states = hidden_states[:self.max_token_num, :]
ret_val = {
"hidden_states": hidden_states,
"label": 1 if pid in self.qrels[qid] else 0,
"qid": qid,
"pid": pid
}
return ret_val
def get_collate_function():
def collate_function(batch):
hidden_states_lst = [x["hidden_states"] for x in batch]
label_lst = [[x["label"]] for x in batch]
data = {
"hidden_states": pack_tensor_3D(hidden_states_lst, default=0, dtype=torch.float32),
"labels": torch.LongTensor(label_lst),
}
qid_lst = [x['qid'] for x in batch]
pid_lst = [x['pid'] for x in batch]
return data, qid_lst, pid_lst
return collate_function
|
[
"zhanjt16@mails.tsinghua.edu.cn"
] |
zhanjt16@mails.tsinghua.edu.cn
|
5b525fd04d4dd26b45f12a96ed9732c0992411fe
|
e541b4d6ca20126ff480f8e3ae8cfbba2387bf54
|
/Program05.py
|
7edf0426d4137dba520c6d8cbcdff8023071f2c8
|
[] |
no_license
|
girishsj11/Python_Programs_Storehouse
|
ec3e310371eb48ea14780c243c1e65bdfcccf1aa
|
f6f151758497848eb59ec000f9ec1aa74e7de06d
|
refs/heads/master
| 2023-06-12T03:00:29.038531
| 2021-06-22T05:01:09
| 2021-06-22T05:01:09
| 289,525,839
| 0
| 0
| null | 2021-02-19T07:16:19
| 2020-08-22T16:32:38
|
Python
|
UTF-8
|
Python
| false
| false
| 626
|
py
|
"""
Created on Mon Sep 7 21:38:35 2020
@author: giri
"""
'''
printing the least number which is generated by system randomly & tracking those numbers too.
'''
import random
if __name__ == "__main__" :
user_list = list()
final_range = int(input("Enter the count of elements to be generated by stsem randomly : "))
random_range = int(input("Enter the final range value to be taken out for genearting a integer numbers randomly : "))
for _ in range(final_range):
user_list.append(random.randint(1,random_range))
print("minimum/least number from the system generated numbers : ",min(user_list))
|
[
"noreply@github.com"
] |
girishsj11.noreply@github.com
|
05e4053e016407a2c416ec7336ed05d6af42be1c
|
1c51e1489c00d2652a86c02b5205f57ca228729e
|
/main.py
|
f79ee4b3b7eb70ecd7d853082a08d2cad1ee4f79
|
[] |
no_license
|
SanderScheijvens/NIC-info
|
bb4fd59295af50c4239ea063f646fc371bc149d0
|
1f63084d9a69295d28c66982b21a1a2d92dd20ff
|
refs/heads/main
| 2023-01-10T13:26:28.379642
| 2020-11-10T09:13:56
| 2020-11-10T09:13:56
| 311,501,808
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 297
|
py
|
import socket
import fcntl
import struct
def get_ip_address(ifname):
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
return socket.inet_ntoa(fcntl.ioctl(
s.fileno(),
0x8915, # SIOCGIFADDR
struct.pack('256s', ifname[:15])
)[20:24])
get_ip_address('eth0')
|
[
"50071969+SanderScheijvens@users.noreply.github.com"
] |
50071969+SanderScheijvens@users.noreply.github.com
|
04c3e52a7eac55ac2e6c255425b15b1a4b7e11f0
|
4ce9508dabf15164f68bce1c9a9feb3a14f2132c
|
/Department/admin.py
|
c0aaf28955bc2812145fab221b6271cdf6ee020f
|
[] |
no_license
|
mnprtpsingh/ElectiveManagement
|
1a3ea06e84a1c4d3dc10afa7353f645df5dcb8d2
|
2e65709d86b5f7a8862d0edd92319806b03e25cd
|
refs/heads/master
| 2022-01-05T16:18:57.657155
| 2019-06-18T13:06:57
| 2019-06-18T13:06:57
| 192,529,458
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,048
|
py
|
from django.contrib import admin
from .models import Department, Batch
@admin.register(Department)
class DepartmentAdmin(admin.ModelAdmin):
def has_change_permission(self, request, object=None):
if not (request.user.is_authenticated and request.user.is_staff): return False
if not object: return request.user.is_staff
return request.user.is_admin or request.user.staff.department == object
def has_delete_permission(self, request, object=None):
if not (request.user.is_authenticated and request.user.is_staff): return False
if not object: return request.user.is_staff
return request.user.is_admin or request.user.staff.department == object
@admin.register(Batch)
class BatchAdmin(admin.ModelAdmin):
ordering = ('-year',)
def has_change_permission(self, request, object=None):
return request.user.is_authenticated and request.user.is_admin
def has_delete_permission(self, request, object=None):
return request.user.is_authenticated and request.user.is_admin
|
[
"mnprtpsingh@gmail.com"
] |
mnprtpsingh@gmail.com
|
cf340d295f7a4683102ebe237f43a08843f918b1
|
169e5e87584f6f9ceee0844ade37fc53de5ee08e
|
/Reely App/reely_app/users/routes.py
|
df671eb072d162f7796cb06a4a336fb102fecb17
|
[] |
no_license
|
jcopacetic/mouse
|
f77bc18c65ee49d1c58e4b9308cb3a2a27926ef3
|
800cf25be8149244d81f793050f8a52d299202b1
|
refs/heads/master
| 2022-12-05T00:53:36.956499
| 2019-05-01T17:39:24
| 2019-05-01T17:39:24
| 184,454,405
| 0
| 1
| null | 2022-11-28T04:11:42
| 2019-05-01T17:30:15
|
Python
|
UTF-8
|
Python
| false
| false
| 1,806
|
py
|
from flask import Blueprint, render_template, redirect, url_for, flash, request
from flask_login import login_user, current_user, logout_user, login_required
from reely_app import db, bcrypt
from reely_app.models import User
from reely_app.users.forms import RegistrationForm, LoginForm
users = Blueprint('users', __name__)
@users.route('/signup', methods=['GET', 'POST'])
def signup():
if current_user.is_authenticated:
return redirect(url_for('main.home'))
form = RegistrationForm()
if form.validate_on_submit():
hashed_password = bcrypt.generate_password_hash(form.password.data).decode('utf-8')
user = User(username=form.username.data, email=form.email.data, password=hashed_password)
db.session.add(user)
db.session.commit()
flash('Your account has been created. Welcome to Reely!')
return redirect(url_for('users.signin'))
return render_template('user-templates/register.html', form=form)
@users.route('/signin', methods=['GET', 'POST'])
def signin():
if current_user.is_authenticated:
return redirect(url_for('main.home'))
form = LoginForm()
if form.validate_on_submit():
user = User.query.filter_by(email=form.email.data).first()
if user and bcrypt.check_password_hash(user.password, form.password.data):
login_user(user, remember=form.remember.data)
next_page = request.args.get('next')
return redirect(next_page) if next_page else redirect(url_for('main.home'))
else:
flash('Login Unsuccessful. Please check email and password', 'danger')
return render_template('user-templates/login.html', form=form)
@users.route('/signout')
def signout():
logout_user()
return redirect(url_for('users.signin'))
@users.route('/account')
def account():
return render_template('user-templates/account.html')
|
[
"Jonathan@khaoticdigital.com"
] |
Jonathan@khaoticdigital.com
|
45ec3800a3a24111a850fdc4d8b84fdde497e8bc
|
0ae6fbecbef0a71e28e93e6f4aed7da16f3fe038
|
/mainapp/main.py
|
d3f8dc660ccc37c6d6f50d27166c556b6714e776
|
[] |
no_license
|
maconrad/ConfigDiffer
|
c2ab47bb07f359f4aa35f275ecc5ef1574fcf7a5
|
80a926dd07329c6a6ea1d47894d2f4da492bef87
|
refs/heads/master
| 2020-04-02T22:59:55.350423
| 2019-01-10T15:01:26
| 2019-01-10T15:01:26
| 154,852,034
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,862
|
py
|
from ciscoconfparse import CiscoConfParse
from colorama import Fore, Style
import config
import json
def load_template(template):
json1_file = open(template)
json1_str = json1_file.read()
json1_data = json.loads(json1_str)
return json1_data
def main():
confparse = CiscoConfParse(config.USER_CONFIG)
cfgdiffs = CiscoConfParse([])
for template in config.TEMPLATES:
template_dict = load_template(template)
template_name = template_dict["TEMPLATE_NAME"]
template_type = template_dict["TEMPLATE_TYPE"]
print(f'{Fore.BLUE}VERIFYING TEMPlATE: ' + template_name)
print(f'**************************************{Style.RESET_ALL}')
for template_section in template_dict["SECTIONS"]:
regex_pattern = template_section["SECTION_REGEX"]
sub_regex_patterns = template_section["LINES"]
section_name = template_section["NAME"]
#regex_pattern = template_dict["SECTION_REGEX"]
#sub_regex_patterns = template_dict["LINES"]
print(f'{Fore.GREEN}-VERIFYING SECTION: {Fore.CYAN}' + section_name + f'{Style.RESET_ALL}')
## Find all matching sections (multi line objects)
objects = confparse.find_objects(regex_pattern)
## Verify first if the whole section is missing
if len(objects) == 0:
cfgdiffs.append_line(f'{Fore.RED} -> MISSING WHOLE SECTION:')
cfgdiffs.append_line(f'{Fore.RED} ' + regex_pattern)
for subregex in sub_regex_patterns:
cfgdiffs.append_line(" " + subregex)
is_valid = False
if (is_valid == False):
for line in cfgdiffs.ioscfg:
print(f'{Fore.RED}' + line + f'{Style.RESET_ALL}')
cfgdiffs = CiscoConfParse([])
## If the section is there, verify if some parts are missing
else:
for object in objects:
is_valid = True
## Mark that some lines are missing if we ever have to print that object
cfgdiffs.append_line(f'{Fore.RED} -> MISSING OR DIFFERENTLY CONFIGURED LINES')
cfgdiffs.append_line(f' ' + object.text + f'{Style.RESET_ALL}')
## Search children of the object
for subregex in sub_regex_patterns:
if not (object.re_search_children(subregex)):
cfgdiffs.append_line(" " + subregex)
is_valid = False
if(is_valid==False):
for line in cfgdiffs.ioscfg:
print(f'{Fore.RED}' + line + f'{Style.RESET_ALL}')
else:
print(f'{Fore.GREEN} -> SUCCESS - CONFIG SECTION: ' + template_name + ' FOR OBJECT: ' + object.text + f'{Style.RESET_ALL}')
#Reset cfgdiffs for next object
cfgdiffs = CiscoConfParse([])
## Find all single line objects
if(template_type=='SINGLE_LINE_AND_MULTI_SECTION'):
is_valid = True
print(f'{Fore.GREEN}-VERIFYING GENERAL LINES: {Style.RESET_ALL}')
regex_patterns = template_dict["SINGLE_LINE_REGEXES"]
for line in regex_patterns:
if not confparse.has_line_with(line):
print(f'{Fore.RED} -> MISSING OR DIFFERENTLY CONFIGURED LINES: ' + line + f'{Style.RESET_ALL}')
is_valid = False
if (is_valid==True):
print(f'{Fore.GREEN} -> SUCCESS - GENERAL CONFIG PARTS: ' + template_name + f'{Style.RESET_ALL}')
print(f'{Fore.BLUE}*****************END*********************{Style.RESET_ALL}\n')
if __name__ == "__main__":
main()
|
[
"mario.conrad@gmail.com"
] |
mario.conrad@gmail.com
|
da841d156b8b1c413a0a2705b633f82daf52e038
|
baa8b8869876845b217943b46ebeba3805c2b187
|
/manage.py
|
05ed9597d4e9993ce0521c2d2b509a98b9f29038
|
[] |
no_license
|
Tinemar/CallCars_bk
|
3f0831ab06c2f5b7754d1236a7f95e8d6ed49f07
|
df572c9509fb27c7ed2796a45ae8969aaa8f304f
|
refs/heads/master
| 2021-09-28T13:33:16.604356
| 2019-12-26T09:20:12
| 2019-12-26T09:20:12
| 230,194,431
| 0
| 0
| null | 2021-09-22T18:18:42
| 2019-12-26T04:25:40
|
Python
|
UTF-8
|
Python
| false
| false
| 628
|
py
|
#!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'CallCars.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
"available on your PYTHONPATH environment variable? Did you "
"forget to activate a virtual environment?"
) from exc
execute_from_command_line(sys.argv)
if __name__ == '__main__':
main()
|
[
"tinemar@bupt.edu.cn"
] |
tinemar@bupt.edu.cn
|
b2b90f394a999db66d989e0f4df9dd0b0a808dd1
|
1867b94c01b08fb15c499e3e222a9656f0043efa
|
/Orgmail.py
|
c2b3ce649dea0aa0bb68bc509e315b1e7bddd154
|
[] |
no_license
|
adeayo-py/DBMS-Using-sqlite3
|
53a82c1ed1fc9600c2d6a108743599ed8ec0365f
|
930405287f4bd75836073de39118bc718367be61
|
refs/heads/master
| 2022-06-29T13:19:02.166543
| 2020-05-12T11:20:01
| 2020-05-12T11:20:01
| 263,311,019
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,473
|
py
|
import sqlite3
#creating an sqlite file named orgdb and initializing the cursor
con=sqlite3.connect('orgdb.sqlite')
cur=con.cursor()
#Delete predefined table named Counts and create new one
cur.execute('DROP TABLE IF EXISTS Counts')
cur.execute('CREATE TABLE Counts (org TEXT, count INTEGER)')
#file you to work with...mbox.txt
file=input('Enter name of file you want to work with: ')
fhandle=open(file)
for line in fhandle:
line.strip()
# Get lines that starts with 'From:'
if not line.startswith('From: '):continue
breakline=line.split()
#email address from the set of lines are indexed 1
email=breakline[1]
#split the mail where you have the @ sign and extract the domain...last index
splitemail=email.split('@')
domain=splitemail[-1]
# retrieve count in row where you have the domain
cur.execute('SELECT count FROM Counts WHERE org=?',(domain,))
#check the retrieved row. If empty insert value for count. else, update
row=cur.fetchone()
if row is None:
cur.execute('INSERT INTO Counts (org, count) VALUES (?,1) ',(domain,))
else:
cur.execute('UPDATE Counts SET count=count+1 WHERE org=?',(domain,))
#commit on orgdb.sqlite file...took time on my pc when I used a much larger file:(
con.commit()
#optional...display in python terminal in descending order of count
sql=cur.execute('SELECT org,count FROM Counts ORDER BY count DESC')
for row in sql:
print(row[0],row[1])
|
[
"noreply@github.com"
] |
adeayo-py.noreply@github.com
|
2bbb0f42374dd77623e527f9358b74d2f020446a
|
bbf9d848948a446299d9e2aa016249ce327d22bc
|
/pymoo/interface.py
|
be168c153563925b54e7bd9e6826c9154ce7caa3
|
[
"Apache-2.0"
] |
permissive
|
temaurer/pymoo
|
07dfc84b390b014d00ec062a75f3aae3a86ae006
|
1a2f3e0944ef7094df7518623e3ce23f94a39a39
|
refs/heads/master
| 2020-06-12T06:15:49.823082
| 2019-07-18T07:16:24
| 2019-07-18T07:16:24
| 194,217,929
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,480
|
py
|
"""
This class provide an interface for other libraries to specific modules. For example, the evolutionary operations
can be used easily just by calling a function and providing the lower and upper bounds of the problem.
"""
import numpy as np
from pymoo.model.population import Population
from pymop import Problem
def get_problem_func(n_var, xl, xu, type_var):
class P(Problem):
def __init__(self) -> None:
super().__init__(n_var=n_var, n_obj=1, n_constr=0, xl=xl, xu=xu, type_var=type_var)
return P
def sample(sampling, n_samples, n_var, xl=0, xu=1, type_var=np.double, **kwargs):
problem = get_problem_func(n_var, xl, xu, type_var)(**kwargs)
return sampling.sample(problem, Population(), n_samples, **kwargs).get("X")
def crossover(crossover, a, b, c=None, xl=0, xu=1, type_var=np.double, **kwargs):
n = a.shape[0]
_pop = Population().new("X", a).merge(Population().new("X", b))
_P = np.column_stack([np.arange(n), np.arange(n) + n])
if c is not None:
_pop = _pop.merge(Population().new("X", c))
_P = np.column_stack([_P, np.arange(n) + 2 * n])
problem = get_problem_func(a.shape[1], xl, xu, type_var)(**kwargs)
return crossover.do(problem, _pop, _P, **kwargs).get("X")
def mutation(mutation, X, xl=0, xu=1, type_var=np.double, **kwargs):
problem = get_problem_func(X.shape[1], xl, xu, type_var)(**kwargs)
return mutation.do(problem, Population().new("X", X), **kwargs).get("X")
if __name__ == "__main__":
from pymoo.interface import crossover
from pymoo.factory import get_crossover
import numpy as np
import matplotlib.pyplot as plt
def example_parents(n_matings, n_var):
a = np.arange(n_var)[None, :].repeat(n_matings, axis=0)
b = a + n_var
return a, b
def show(M):
plt.figure(figsize=(4, 4))
plt.imshow(M, cmap='Greys', interpolation='nearest')
plt.show()
n_matings, n_var = 100, 100
a, b = example_parents(n_matings, n_var)
print("One Point Crossover")
off = crossover(get_crossover("bin_one_point"), a, b)
show((off[:n_matings] != a[0]))
print("Two Point Crossover")
off = crossover(get_crossover("bin_two_point"), a, b)
show((off[:n_matings] != a[0]))
show((off[n_matings:] != b[0]))
print(off[n_matings:])
print("K Point Crossover (k=4)")
off = crossover(get_crossover("bin_k_point", n_points=4), a, b)
show((off[:n_matings] != a[0]))
|
[
"jules89@arcor.de"
] |
jules89@arcor.de
|
de71fbbdc0b56da1b03948af677104c123c688ca
|
df3bdc4943f19f3378add5d242b619484071fef3
|
/gerador_de_tensão.py/GERADOR_TENSAO_CA.py
|
4d121de30caf937cb08a9bd62ce1104d1c1b2e02
|
[] |
no_license
|
cleitoncmf/Simulador_FPGA_UERJ
|
39c45d0780855738ab07db76e4007cfa2f505d3b
|
d53acc7ce563e87236ac14409589cd3b3820942b
|
refs/heads/master
| 2022-12-06T18:58:44.329785
| 2020-08-31T18:57:36
| 2020-08-31T18:57:36
| 274,196,689
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,476
|
py
|
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 17 23:59:51 2020
@author: Renan
"""
import os
import math
import matplotlib.pyplot as plt
import matplotlib.ticker as tck
import scipy.interpolate
import numpy as np
f=60
vp=5
t=0
#------
w=2*np.pi*f
exp=18
bits=2**exp
tempo=[]
n=1
dt=(n/bits)
#phi=-w*t
fonte_tensao=[]
#v=vp*np.sin(w*t+phi)
tempo = np.linspace(0,bits-1,bits)
'''
for i in range (0,1024,1):
tempo.append(i)
'''
teste=[]
teste_tensao=[]
for i in range (0,bits,1):
t=t+dt
#teste.append(t)
teste_tensao.append(vp*np.sin((w*t)))
fonte_tensao.append(vp*np.sin((w*t))+5) #offset = +5V
'''
if i==0:
fonte_tensao.append(0)
else:
t=t+dt
fonte_tensao.append(vp*np.sin(w*t+phi)+5)
'''
'''
teste=[]
testeindex=[]
for i in range (0,1024,1):
if fonte_tensao[i]<0:
teste.append(fonte_tensao[i])
testeindex.append(i)
'''
tempo2 = np.linspace(0,2**(exp-6)-1,2**(exp-6))
fonte_tensao2=[]
for i in range (0,2**(exp-6),1):
fonte_tensao2.append(fonte_tensao[i])
#--------------CONFIGURAÇÃO DE GRÁFICO PYTHON----------------------
fig3 = plt.gcf() #cria a figura
plt.rcParams['figure.figsize'] = (60,40) #tamanho do gráfico
fig3, ax = plt.subplots() #anexa os subplots na figura
ax.yaxis.set_minor_locator(tck.AutoMinorLocator())
plt.rcParams.update({'font.size': 22})
plt.title("Voltage x Time",fontsize=50)
plt.xlabel('Time [s]',fontsize=50) #nome do eixo x
plt.ylabel('Voltage [V]',fontsize=50) #nome do eixo y
plt.xlabel('Tempo [s]',fontsize=50) #nome do eixo x
plt.plot(tempo2,fonte_tensao2, color='red',linewidth=3.0, linestyle = '-',label="Voltage")#,marker=".",markersize=50) #dois graficos em 1
plt.legend(loc="upper right",prop={'size': 50})
#plt.fill_between(x,0,y, color = 'grey') #pinta a área sob a curva
plt.grid(True, which='both')
plt.tick_params(labelsize=50);
#--------------FIM DE CONFIGURAÇÃO DE GRÁFICO PYTHON---------------
#------------------CRIAÇÃO DE ARQUIVO DE TEXTO---------------------
resultado = "{}\n"
arquivo = open("fonte_tensao_CA.txt","w")
#mudar para sine.mem caso queira integrar direto para o vivado
#arquivo.write(resultados)
for i in range(0,len(fonte_tensao),1):
arquivo.write(resultado.format(hex(int((fonte_tensao[i])*100))))
'''
multiplicado por 100 para garantir duas casas decimais
na leitura da simulação
'''
arquivo.close
|
[
"renanlarrieu@gmail.com"
] |
renanlarrieu@gmail.com
|
1da37480f873ed0656e0116ad98f6b8023524ad1
|
bd9d9c1846e4c277e65c63785f0eb62aee7e5754
|
/gret_notes/asgi.py
|
1e5f8c0ee3fa67368b764d8af920283b751668b7
|
[] |
no_license
|
gretkierewicz/gret_notes
|
bc96f453afade8e3f40e376989f57d2a50a12b9f
|
5e4f8ef79443d9c78fc0cb9b26c5ee3c9dd0ca33
|
refs/heads/master
| 2023-04-01T01:51:09.783305
| 2020-10-12T10:14:05
| 2020-10-12T10:14:05
| 268,258,938
| 2
| 0
| null | 2021-04-08T20:49:09
| 2020-05-31T10:42:06
|
Python
|
UTF-8
|
Python
| false
| false
| 397
|
py
|
"""
ASGI config for gret_notes project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'gret_notes.settings')
application = get_asgi_application()
|
[
"piotr.gretkierewicz@gmail.com"
] |
piotr.gretkierewicz@gmail.com
|
5cc54cdc2762a5e1c2b8009c715097089c46dfce
|
d61d5962b2806a26319d39985f0ee453f320b965
|
/venv/FOO/lib/python3.3/copy.py
|
2e46f5775f510cf25a364241241044f7f5c4b8bb
|
[] |
no_license
|
darthlukan/pysys
|
35c97c616bb45536775da74c66bcb74e8238af6a
|
e8d2dc1572e7f509b676972202e4d5dc0c3a962a
|
refs/heads/master
| 2020-04-16T10:43:52.871834
| 2015-06-17T19:17:34
| 2015-06-17T19:17:34
| 2,656,017
| 3
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 26
|
py
|
/usr/lib/python3.3/copy.py
|
[
"darthlukan@gmail.com"
] |
darthlukan@gmail.com
|
755296ae02bf6a0bc22f8654cec0179a953d7051
|
726c2e900e54ad268922bee2779b13b200911de8
|
/forsta_auth/tests/test_checks.py
|
3e64c1500e8a71a683d3c30cdd1605531a2e84ac
|
[
"MIT"
] |
permissive
|
forsta-iam/forsta-auth
|
0c59ea8f48d0019af65c9dcafaf665ac86aab673
|
9bc8c7c1033d95404c46fa351c7b689cc546a4d4
|
refs/heads/master
| 2022-12-10T16:36:09.384458
| 2019-10-22T09:04:31
| 2019-10-22T09:41:01
| 187,878,763
| 0
| 0
|
MIT
| 2022-12-08T06:41:20
| 2019-05-21T16:50:33
|
Python
|
UTF-8
|
Python
| false
| false
| 3,670
|
py
|
import smtplib
from unittest import TestCase
from unittest.mock import patch
import requests
from django.core.mail.backends.smtp import EmailBackend
from django.test import override_settings
from forsta_auth import checks as forsta_auth_checks
from forsta_auth.onboarding import checks as onboarding_checks
class OnboardingChecksTestCase(TestCase):
@override_settings(EMAIL_BACKEND='django.core.mail.backends.console.EmailBackend')
def test_check_email_not_smtp(self):
with patch.object(EmailBackend, 'open') as connection_open:
self.assertEqual([], onboarding_checks.check_email_config([]))
self.assertFalse(connection_open.called)
@override_settings(EMAIL_BACKEND='django.core.mail.backends.smtp.EmailBackend')
def test_check_email_good_credentials(self):
with patch.object(EmailBackend, 'open') as connection_open:
connection_open.return_value = None
self.assertEqual([], onboarding_checks.check_email_config([]))
self.assertTrue(connection_open.called)
@override_settings(EMAIL_BACKEND='django.core.mail.backends.smtp.EmailBackend')
def test_check_email_bad_credentials(self):
with patch.object(EmailBackend, 'open') as connection_open:
connection_open.side_effect = smtplib.SMTPAuthenticationError('550', 'Auth failed')
self.assertEqual([onboarding_checks.W001], onboarding_checks.check_email_config([]))
self.assertTrue(connection_open.called)
class SocialCredentialsTestCase(TestCase):
@override_settings(SOCIAL_AUTH_TWITTER_KEY=None, SOCIAL_AUTH_TWITTER_SECRET=None)
@patch('requests.post')
def test_twitter_no_credentials(self, requests_post):
self.assertEqual([], forsta_auth_checks.check_twitter_credentials([]))
self.assertFalse(requests_post.called)
@override_settings(SOCIAL_AUTH_TWITTER_KEY='client-id', SOCIAL_AUTH_TWITTER_SECRET='client-secret')
@patch('requests.post')
def test_twitter_good_credentials(self, requests_post):
self.assertEqual([], forsta_auth_checks.check_twitter_credentials([]))
self.assertTrue(requests_post.called)
@override_settings(SOCIAL_AUTH_TWITTER_KEY='client-id', SOCIAL_AUTH_TWITTER_SECRET='client-secret')
@patch('requests.post')
def test_twitter_bad_credentials(self, requests_post):
requests_post.return_value.raise_for_status.side_effect = requests.HTTPError()
self.assertEqual([forsta_auth_checks.W001], forsta_auth_checks.check_twitter_credentials([]))
self.assertTrue(requests_post.called)
@override_settings(SOCIAL_AUTH_GOOGLE_OAUTH2_KEY=None, SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET=None)
@patch('requests.post')
def test_google_oauth2_no_credentials(self, requests_post):
self.assertEqual([], forsta_auth_checks.check_google_oauth2_credentials([]))
self.assertFalse(requests_post.called)
@override_settings(SOCIAL_AUTH_GOOGLE_OAUTH2_KEY='client-id', SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET='client-secret')
@patch('requests.post')
def test_google_oauth2_good_credentials(self, requests_post):
self.assertEqual([], forsta_auth_checks.check_google_oauth2_credentials([]))
self.assertTrue(requests_post.called)
@override_settings(SOCIAL_AUTH_GOOGLE_OAUTH2_KEY='client-id', SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET='client-secret')
@patch('requests.post')
def test_google_oauth2_bad_credentials(self, requests_post):
requests_post.return_value.status_code = 401
self.assertEqual([forsta_auth_checks.W002], forsta_auth_checks.check_google_oauth2_credentials([]))
self.assertTrue(requests_post.called)
|
[
"adutton@oni.bio"
] |
adutton@oni.bio
|
bc0a422f900b3bdba40349940dd3e7f804d5dd31
|
80fb758c1b3f04de4a19a953a1f54d9ac06aff4d
|
/tasks/migrations/0002_task_isfinish.py
|
34f46aec17addd6612fa802b47efb3afd096ad66
|
[] |
no_license
|
leewch/TodoList
|
81cb2a79a55d14276a8ee95991b97b2dae5d11ea
|
923d20a4b5ce7dbbafbbff6656ca011e743d7a56
|
refs/heads/master
| 2021-09-28T16:41:29.793613
| 2018-11-18T13:04:42
| 2018-11-18T13:04:42
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 437
|
py
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tasks', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='task',
name='isFinish',
field=models.CharField(default='0', max_length=255),
preserve_default=False,
),
]
|
[
"lzkmylz@163.com"
] |
lzkmylz@163.com
|
d2a036678cca000857ec1e8849bf2cb517938848
|
e27119cbd78f257bb60ed36b4c59f8922231316e
|
/findex/fs.py
|
77686069973013b8b8d86eec4baf0beaf7327329
|
[] |
no_license
|
moltob/findex
|
93f9e48ab19aee01bd7f1395e30fc2a8adacf148
|
be34f7058f89ddf9759a5379292705600146959f
|
refs/heads/master
| 2022-12-04T14:38:11.195463
| 2020-08-17T08:42:24
| 2020-08-17T08:45:06
| 257,330,094
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,325
|
py
|
"""File system utilities."""
import collections
import datetime
import hashlib
import logging
import mmap
import os
import pathlib
import typing as t
# fake hash values to identify non-hashable files:
FILEHASH_EMPTY = "_empty"
FILEHASH_INACCESSIBLE_FILE = "_inaccessible_file"
FILEHASH_WALK_ERROR = "_error: {message}"
FileDesc = collections.namedtuple("FileDesc", "path size fhash created modified")
"""Descriptor for a file in index."""
_logger = logging.getLogger(__name__)
def count_files(top: pathlib.Path, onerror=None) -> int:
_logger.debug(f"Counting files in {top}.")
count = 0
for dirpath, dirnames, filenames in os.walk(top, onerror=onerror):
count += len(filenames)
return count
def count_bytes(top: pathlib.Path) -> int:
count = 0
for dirpath, _, filenames in os.walk(top):
for filename in filenames:
count += pathlib.Path(dirpath, filename).stat().st_size
return count
def walk(top: pathlib.Path) -> t.Iterable[FileDesc]:
"""Recurse given directory and for each non-empty file return content hash and path."""
_logger.debug(f"Traversing directory {top} recursively.")
for dirpath, dirnames, filenames in os.walk(top):
root = pathlib.Path(dirpath)
for filename in filenames:
filepath = root / filename
stat = filepath.stat()
filesize = stat.st_size
if filesize == 0:
filehash = FILEHASH_EMPTY
else:
try:
filehash = compute_filehash(filepath)
except PermissionError:
_logger.warning(f"File inaccessible: {filepath}.")
filehash = FILEHASH_INACCESSIBLE_FILE
_logger.debug(f"{filehash} {filepath}")
yield FileDesc(
path=str(filepath.relative_to(top)),
fhash=filehash,
size=filesize,
created=datetime.datetime.fromtimestamp(stat.st_ctime),
modified=datetime.datetime.fromtimestamp(stat.st_mtime),
)
def compute_filehash(filepath: pathlib.Path) -> str:
with open(filepath, "rb") as file:
with mmap.mmap(file.fileno(), 0, access=mmap.ACCESS_READ) as data:
sha1 = hashlib.sha1(data)
return sha1.hexdigest()
|
[
"mike@mpagel.de"
] |
mike@mpagel.de
|
f2d30dfc8f12aa0a14b7ca171d349c949a5061eb
|
1511782b2cc3dcf1f7e058e5046ec67a5561ba51
|
/2020/0310/006c.py
|
a84a8e71f82fc4defd40e1d6f9a6635515b72677
|
[] |
no_license
|
keiouok/atcoder
|
7d8a053b0cf5b42e71e265450121d1ad686fee6d
|
9af301c6d63b0c2db60ac8af5bbe1431e14bb289
|
refs/heads/master
| 2021-09-07T11:48:55.953252
| 2021-07-31T15:29:50
| 2021-07-31T15:29:50
| 186,214,079
| 4
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 999
|
py
|
import sys, re, os
from collections import deque, defaultdict, Counter
from math import ceil, sqrt, hypot, factorial, pi, sin, cos, radians
from itertools import permutations, combinations, product, accumulate
from operator import itemgetter, mul
from copy import deepcopy
from string import ascii_lowercase, ascii_uppercase, digits
from fractions import gcd
from bisect import bisect, bisect_left, bisect_right
def input(): return sys.stdin.readline().strip()
def INT(): return int(input())
def MAP(): return map(int, input().split())
def S_MAP(): return map(str, input().split())
def LIST(): return list(map(int, input().split()))
def S_LIST(): return list(map(str, input().split()))
sys.setrecursionlimit(10 ** 9)
INF = float('inf')
mod = 10 ** 9 + 7
N, M = MAP()
# tsurukame
for i in range(N+1):
a = i
b = -2 * i + 4 * N - M
c = i - 3 * N + M
if a >= 0 and b >= 0 and c >= 0:
print(a, b, c)
break
else:
print(-1, -1, -1)
|
[
"hu.youjia.hx2@is.naist.jp"
] |
hu.youjia.hx2@is.naist.jp
|
dbb11b92812c440d7ec5e968bb5061cac4d5119f
|
e4b2d88589a28e29338ef0f9a4309f775a876d53
|
/rainfall/create_label.py
|
8d70d9de0eb2aff3f0672649dbeb83c3b6b131b5
|
[] |
no_license
|
Hyomin-Choi/preprocessing-for-weather
|
79a7e8f9c32373c565cffefbc45231d91b0744a5
|
3cec44b7ed899f76c6442ab78eb57b1870ed1ed1
|
refs/heads/master
| 2023-02-18T00:06:28.581563
| 2021-01-22T06:05:56
| 2021-01-22T06:05:56
| 331,852,078
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,314
|
py
|
import pandas as pd
import numpy as np
import os
def rainfall_label(save_drive):
region_all = ['Sokcho', 'Gangneung', 'Donghae', 'Taebaek', 'Uljin', 'Pohang', 'Ulsan','Daegwallyeong'] #강원5개지역, 경상 3개지역
year_list = ['2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017']
path = '{}/rainfall/'.format(save_drive)
for region in region_all:
file_csv_list = []
for year in year_list:
folder_name = path + '{}/{}_csv/sum9'.format(region, year)
csv_file = os.listdir(folder_name)
file_csv_list.append(folder_name + '/' + csv_file[0])
label_data = pd.read_excel('./region_label/{}_label.xlsx'.format(region), header=None)._values #지역별 강수시간과 label불러옴
count = 0 #날짜 일치시 label추가
save_data = np.zeros((len(label_data),4+36*9+1+1+1))
total_year_data = np.concatenate((pd.read_csv(file_csv_list[0], header=None)._values,
pd.read_csv(file_csv_list[1], header=None)._values,
pd.read_csv(file_csv_list[2], header=None)._values,
pd.read_csv(file_csv_list[3], header=None)._values,
pd.read_csv(file_csv_list[4], header=None)._values,
pd.read_csv(file_csv_list[5], header=None)._values,
pd.read_csv(file_csv_list[6], header=None)._values,
pd.read_csv(file_csv_list[7], header=None)._values,
pd.read_csv(file_csv_list[8], header=None)._values,
pd.read_csv(file_csv_list[9], header=None)._values
), axis=0)
for idx in range(len(total_year_data)):
if count == len(label_data):
break
elif int(total_year_data[idx][-3]) == label_data[count][0]:
if label_data[count][1] == 'w_rain':
save_data[count][0] = 1
save_data[count][4:] = total_year_data[idx][4:]
elif label_data[count][1] == 'c_rain':
save_data[count][1] = 1
save_data[count][4:] = total_year_data[idx][4:]
elif label_data[count][1] == 'snow':
save_data[count][2] = 1
save_data[count][4:] = total_year_data[idx][4:]
elif label_data[count][1] == 'heavy_snow':
save_data[count][3] = 1
save_data[count][4:] = total_year_data[idx][4:]
else:
print("오류")
exit(0)
count =count+1
if not os.path.exists(path + '{}/total_label_후/'.format(region)):
os.makedirs(path + '{}/total_label_후/'.format(region))
filename = 'rainfall_X{}_Y{}.csv'.format(str(int(save_data[0][-2])).zfill(3),str(int(save_data[0][-1])).zfill(3))
np.savetxt(path + '{}/total_label_후/{}'.format(region,filename),save_data,delimiter=',')
print("지역:{},갯수:{}".format(region,count))
|
[
"gyals8500@gmail.com"
] |
gyals8500@gmail.com
|
8f8c8301fee3ba78566c3ac5baee814627d0462d
|
b0d017d7b3812f205c3c39f482363742b5a9e873
|
/networking_nec/plugins/openflow/ofc_manager.py
|
5e869d96ecf3d46c6c4b3bd62cdb9a9eb6d7472a
|
[
"Apache-2.0"
] |
permissive
|
nec-openstack/networking-nec-nwa
|
32781afaafb1a797b85a8bfa874c7f800a282867
|
0c5a4a9fb74b6dc78b773d78755c758ed67ed777
|
refs/heads/master
| 2021-01-17T17:19:30.924958
| 2016-06-29T04:14:12
| 2016-06-29T08:31:01
| 62,189,574
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 8,499
|
py
|
# Copyright 2012 NEC Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import netaddr
from oslo_config import cfg
from oslo_log import log as logging
from neutron.common import utils
from networking_nec.plugins.openflow.db import api as ndb
from networking_nec.plugins.openflow import drivers
from networking_nec.plugins.openflow import exceptions as nexc
LOG = logging.getLogger(__name__)
class OFCManager(object):
"""This class manages an OpenFlow Controller and map resources.
This class manage an OpenFlow Controller (OFC) with a driver specified in
a configuration of this plugin. This keeps mappings between IDs on Neutron
and OFC for various entities such as Tenant, Network and Filter. A Port on
OFC is identified by a switch ID 'datapath_id' and a port number 'port_no'
of the switch. An ID named as 'ofc_*' is used to identify resource on OFC.
"""
def __init__(self, plugin):
self.driver = drivers.get_driver(cfg.CONF.OFC.driver)(cfg.CONF.OFC)
self.plugin = plugin
def _get_ofc_id(self, context, resource, neutron_id):
return ndb.get_ofc_id(context.session, resource, neutron_id)
def _exists_ofc_item(self, context, resource, neutron_id):
return ndb.exists_ofc_item(context.session, resource, neutron_id)
def _add_ofc_item(self, context, resource, neutron_id, ofc_id):
# Ensure a new item is added to the new mapping table
ndb.add_ofc_item(context.session, resource, neutron_id, ofc_id)
def _del_ofc_item(self, context, resource, neutron_id):
ndb.del_ofc_item(context.session, resource, neutron_id)
def ensure_ofc_tenant(self, context, tenant_id):
if not self.exists_ofc_tenant(context, tenant_id):
self.create_ofc_tenant(context, tenant_id)
def create_ofc_tenant(self, context, tenant_id):
desc = "ID=%s at OpenStack." % tenant_id
ofc_tenant_id = self.driver.create_tenant(desc, tenant_id)
self._add_ofc_item(context, "ofc_tenant", tenant_id, ofc_tenant_id)
def exists_ofc_tenant(self, context, tenant_id):
return self._exists_ofc_item(context, "ofc_tenant", tenant_id)
def delete_ofc_tenant(self, context, tenant_id):
ofc_tenant_id = self._get_ofc_id(context, "ofc_tenant", tenant_id)
self.driver.delete_tenant(ofc_tenant_id)
self._del_ofc_item(context, "ofc_tenant", tenant_id)
def create_ofc_network(self, context, tenant_id, network_id,
network_name=None):
ofc_tenant_id = self._get_ofc_id(context, "ofc_tenant", tenant_id)
desc = "ID=%s Name=%s at Neutron." % (network_id, network_name)
ofc_net_id = self.driver.create_network(ofc_tenant_id, desc,
network_id)
self._add_ofc_item(context, "ofc_network", network_id, ofc_net_id)
def exists_ofc_network(self, context, network_id):
return self._exists_ofc_item(context, "ofc_network", network_id)
def delete_ofc_network(self, context, network_id, network):
ofc_net_id = self._get_ofc_id(context, "ofc_network", network_id)
self.driver.delete_network(ofc_net_id)
self._del_ofc_item(context, "ofc_network", network_id)
def create_ofc_port(self, context, port_id, port):
ofc_net_id = self._get_ofc_id(context, "ofc_network",
port['network_id'])
portinfo = ndb.get_portinfo(context.session, port_id)
if not portinfo:
raise nexc.PortInfoNotFound(id=port_id)
# Associate packet filters
filters = self.plugin.get_packet_filters_for_port(context, port)
if filters is not None:
params = {'filters': filters}
else:
params = {}
ofc_port_id = self.driver.create_port(ofc_net_id, portinfo, port_id,
**params)
self._add_ofc_item(context, "ofc_port", port_id, ofc_port_id)
def exists_ofc_port(self, context, port_id):
return self._exists_ofc_item(context, "ofc_port", port_id)
def delete_ofc_port(self, context, port_id, port):
ofc_port_id = self._get_ofc_id(context, "ofc_port", port_id)
self.driver.delete_port(ofc_port_id)
self._del_ofc_item(context, "ofc_port", port_id)
def create_ofc_packet_filter(self, context, filter_id, filter_dict):
ofc_pf_id = self.driver.create_filter(context, filter_dict, filter_id)
self._add_ofc_item(context, "ofc_packet_filter", filter_id, ofc_pf_id)
def update_ofc_packet_filter(self, context, filter_id, filter_dict):
ofc_pf_id = self._get_ofc_id(context, "ofc_packet_filter", filter_id)
self.driver.update_filter(ofc_pf_id, filter_dict)
def exists_ofc_packet_filter(self, context, filter_id):
return self._exists_ofc_item(context, "ofc_packet_filter", filter_id)
def delete_ofc_packet_filter(self, context, filter_id):
ofc_pf_id = self._get_ofc_id(context, "ofc_packet_filter", filter_id)
self.driver.delete_filter(ofc_pf_id)
self._del_ofc_item(context, "ofc_packet_filter", filter_id)
def create_ofc_router(self, context, tenant_id, router_id, name=None):
ofc_tenant_id = self._get_ofc_id(context, "ofc_tenant", tenant_id)
desc = "ID=%s Name=%s at Neutron." % (router_id, name)
ofc_router_id = self.driver.create_router(ofc_tenant_id, router_id,
desc)
self._add_ofc_item(context, "ofc_router", router_id, ofc_router_id)
def exists_ofc_router(self, context, router_id):
return self._exists_ofc_item(context, "ofc_router", router_id)
def delete_ofc_router(self, context, router_id, router):
ofc_router_id = self._get_ofc_id(context, "ofc_router", router_id)
self.driver.delete_router(ofc_router_id)
self._del_ofc_item(context, "ofc_router", router_id)
def add_ofc_router_interface(self, context, router_id, port_id, port):
# port must have the following fields:
# network_id, cidr, ip_address, mac_address
ofc_router_id = self._get_ofc_id(context, "ofc_router", router_id)
ofc_net_id = self._get_ofc_id(context, "ofc_network",
port['network_id'])
ip_address = '%s/%s' % (port['ip_address'],
netaddr.IPNetwork(port['cidr']).prefixlen)
mac_address = port['mac_address']
ofc_inf_id = self.driver.add_router_interface(
ofc_router_id, ofc_net_id, ip_address, mac_address)
# Use port mapping table to maintain an interface of OFC router
self._add_ofc_item(context, "ofc_port", port_id, ofc_inf_id)
def delete_ofc_router_interface(self, context, router_id, port_id):
# Use port mapping table to maintain an interface of OFC router
ofc_inf_id = self._get_ofc_id(context, "ofc_port", port_id)
self.driver.delete_router_interface(ofc_inf_id)
self._del_ofc_item(context, "ofc_port", port_id)
def update_ofc_router_route(self, context, router_id, new_routes):
ofc_router_id = self._get_ofc_id(context, "ofc_router", router_id)
ofc_routes = self.driver.list_router_routes(ofc_router_id)
route_dict = {}
cur_routes = []
for r in ofc_routes:
key = ','.join((r['destination'], r['nexthop']))
route_dict[key] = r['id']
del r['id']
cur_routes.append(r)
added, removed = utils.diff_list_of_dict(cur_routes, new_routes)
for r in removed:
key = ','.join((r['destination'], r['nexthop']))
route_id = route_dict[key]
self.driver.delete_router_route(route_id)
for r in added:
self.driver.add_router_route(ofc_router_id, r['destination'],
r['nexthop'])
|
[
"s-yanagida@pb.jp.nec.com"
] |
s-yanagida@pb.jp.nec.com
|
95055b980541fab6cadc1c258692a2473002c5f7
|
76db17558b7aca8854e0c4f9137eac37f8a0970a
|
/pybo/urls.py
|
094da1fff934c27699aee1584f5e97618c84c128
|
[] |
no_license
|
gitgitWi/Jon_Jung_Talk_Django
|
f9de804aec1fd66e2f9f7d33f4fd14af2001b357
|
6b85135c12574c23ed69edcf7ed14a6855566509
|
refs/heads/master
| 2022-11-05T10:16:08.086771
| 2020-06-15T03:30:50
| 2020-06-15T03:30:50
| 272,219,551
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,028
|
py
|
from django.urls import path
from .views import base_views, question_views, answer_views, comment_views, vote_views, about
app_name ='pybo'
urlpatterns = [
# base_views.py
path('', base_views.index, name='index'),
path('<int:question_id>/', base_views.detail, name='detail'),
# question_views.py
path('question/create/', question_views.question_create, name='question_create'),
path('question/modify/<int:question_id>/', question_views.question_modify, name='question_modify'),
path('question/delete/<int:question_id>/', question_views.question_delete, name='question_delete'),
# answer_views.py
path('answer/create/<int:question_id>/', answer_views.answer_create, name='answer_create'),
path('answer/modify/<int:answer_id>/', answer_views.answer_modify, name='answer_modify'),
path('answer/delete/<int:answer_id>/', answer_views.answer_delete, name='answer_delete'),
# comment_views.py
path('comment/create/question/<int:question_id>/', comment_views.comment_create_question, name='comment_create_question'),
path('comment/modify/question/<int:comment_id>/', comment_views.comment_modify_question, name='comment_modify_question'),
path('comment/delete/question/<int:comment_id>/', comment_views.comment_delete_question, name='comment_delete_question'),
path('comment/create/answer/<int:answer_id>/', comment_views.comment_create_answer, name='comment_create_answer'),
path('comment/modify/answer/<int:comment_id>/', comment_views.comment_modify_answer, name='comment_modify_answer'),
path('comment/delete/answer/<int:comment_id>/', comment_views.comment_delete_answer, name='comment_delete_answer'),
path('vote/question/<int:question_id>/', vote_views.vote_question, name='vote_question'),
path('vote/answer/<int:answer_id>/', vote_views.vote_answer, name='vote_answer'),
# path('about/', about.index, name='about'),
# path('about/<int:about_page>', about.page, name='about_page'),
]
|
[
"57997672+ezerwi@users.noreply.github.com"
] |
57997672+ezerwi@users.noreply.github.com
|
33e88483f8d75acaf848ab218de9617e833c318c
|
d5c7798d1753ab7a76e33747de4964f06c439a21
|
/events/serializers.py
|
dd6db1e13fc17978496f5092da94248ba9697371
|
[] |
no_license
|
bellomusodiq/sogo
|
56fd93b90678e32b663221132bf7825196434ff4
|
a72fe00e5dacee57d15c303e3e4e500b56ae6e53
|
refs/heads/master
| 2023-03-23T14:16:17.436524
| 2021-03-18T16:15:24
| 2021-03-18T16:15:24
| 296,038,420
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,124
|
py
|
from rest_framework import serializers
from .models import Event, EventArtist, Category, \
Notification, MyTicket, EventImage
class CategorySerializer(serializers.ModelSerializer):
class Meta:
fields = '__all__'
model = Category
class EventImageSerializer(serializers.ModelSerializer):
class Meta:
fields = '__all__'
model = EventImage
class EventArtistSerializer(serializers.ModelSerializer):
class Meta:
fields = '__all__'
model = EventArtist
class EventSerializer(serializers.ModelSerializer):
category_name = serializers.SerializerMethodField()
artists = serializers.SerializerMethodField()
other_images = serializers.SerializerMethodField()
paid = serializers.SerializerMethodField()
class Meta:
fields = '__all__'
model = Event
def get_category_name(self, obj):
return obj.category.name
def get_artists(self, obj):
artists = []
for artist in obj.eventartist_set.all():
artists.append(EventArtistSerializer(artist).data)
return artists
def get_other_images(self, obj):
other_images = []
for image in obj.eventimage_set.all():
other_images.append(EventImageSerializer(image).data)
return other_images
def get_paid(self, obj, *args, **kwargs):
val = False
print(self.context)
request = self.context.get('request')
my_tickets = MyTicket.objects.filter(user=request.user)
try:
confirmed_ticket = my_tickets.get(user=request.user, event=obj)
val = True
except MyTicket.DoesNotExist:
pass
return val
class NotificationSerializer(serializers.ModelSerializer):
class Meta:
fields = '__all__'
model = Notification
class MyTicketSerializer(serializers.ModelSerializer):
event_details = serializers.SerializerMethodField()
class Meta:
fields = '__all__'
model = MyTicket
def get_event_details(self, obj):
return EventSerializer(obj.event, context=self.context).data
|
[
"bmayowa25@gmail.com"
] |
bmayowa25@gmail.com
|
eb80fb50b4d9acd30cbf24e6f24aa9e11ea4fc01
|
c616bfd8cf4d32e7f0f97a8465acbfbb9d0f1fbe
|
/myclasses/views.py
|
cf6b66b54a4429acc9678022dfcf2d9c722beedb
|
[] |
no_license
|
Code-Institute-Submissions/AwsSG-educadia_AugResub
|
971d6abc8e953a1495a66062be032e278b24aaf8
|
5f7084c154fd0c97fec68c62f4183a8c901a0df5
|
refs/heads/master
| 2023-07-05T10:31:15.031721
| 2021-08-18T21:51:20
| 2021-08-18T21:51:20
| 398,003,481
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 7,010
|
py
|
from django.shortcuts import render, redirect, reverse, get_object_or_404
from .models import AllClasses, AllMaterials, ClassRegister
from myaccount.models import UserAccount
from .forms import AllClassesForm, AllMaterialsForm, ClassRegisterForm
from django.contrib import messages
# Create your views here.
def myclasses(request):
""" view to add or join classes based on user type """
if request.user.is_authenticated:
teacher = get_object_or_404(UserAccount, user=request.user)
student = None
form = AllClassesForm()
join_form = ClassRegisterForm()
if teacher.user_type != 'student':
# Creates new classes if the user is authenticated as 'teacher'
if request.method == 'POST':
form = AllClassesForm(request.POST)
if form.is_valid():
new_class = form.save(commit=False)
new_class.added_by = teacher
new_class.save()
messages.success(request, 'Class added successfully')
else:
messages.error(
request, 'Form incorrect, make sure you fill \
the required fields correctly')
else:
form = AllClassesForm()
else:
# joins classes if user is authenticated as 'student'
student = get_object_or_404(UserAccount, user=request.user)
if request.method == 'POST':
join_form = ClassRegisterForm(request.POST)
class_code = AllClasses.objects.filter(
id=join_form['registered_for'].value())[0].class_join_code
given_code = join_form['join_code'].value()
already_registered = ClassRegister.objects.filter(
join_code=given_code, student_name=student)
# check if student already registered for that class
if not already_registered:
if class_code == given_code:
if join_form.is_valid:
new_student = join_form.save(commit=False)
new_student.student_name = student
new_student.save()
messages.success(
request, 'You joined class successfully')
join_form = ClassRegisterForm()
else:
messages.error(
request, 'Form incorrect, make sure you fill \
the required fields correctly')
else:
messages.error(
request, 'The join code you entered for the \
selected class is incorrect')
else:
messages.warning(
request, 'You are already registered for this class')
template = 'myclasses/myclasses.html'
all_classes = AllClasses.objects.filter(added_by=teacher)
registered_classes = ClassRegister.objects.filter(
student_name=student).values_list('registered_for', flat=True)
joined_classes = AllClasses.objects.filter(id__in=registered_classes)
context = {
'form': form,
'all_classes': all_classes,
'join_form': join_form,
'joined_classes': joined_classes,
}
return render(request, template, context)
else:
template = 'myclasses/myclasses.html'
return render(request, template)
def class_detail(request, class_id):
""" A view for individual class details """
a_class = get_object_or_404(AllClasses, pk=class_id)
form_upload = AllMaterialsForm()
form = AllClassesForm(instance=a_class)
teacher = get_object_or_404(UserAccount, user=request.user)
# check if user is a teacher
if teacher.user_type != 'student':
# edit class POST handler
if request.method == 'POST' and 'edit_class_form' in request.POST:
form = AllClassesForm(request.POST, instance=a_class)
if form.is_valid():
form.save()
messages.success(request, 'Class details updated successfully')
else:
messages.error(
request, 'Form incorrect, make sure you fill the \
required fields correctly')
form = AllClassesForm(instance=a_class)
# add material POST handler
elif request.method == 'POST' and 'add_material_form' in request.POST:
form_upload = AllMaterialsForm(request.POST, request.FILES)
if form_upload.is_valid():
new_material = form_upload.save(commit=False)
new_material.added_by = teacher
new_material.for_class = a_class
new_material.save()
messages.success(request, 'Material uploaded successfully')
else:
messages.error(
request, 'Form incorrect, make sure you fill the \
required fields correctly')
form_upload = AllMaterialsForm()
else:
form = AllClassesForm(instance=a_class)
class_materials = AllMaterials.objects.filter(for_class=a_class)
context = {
'form_upload': form_upload,
'form': form,
'class': a_class,
'class_materials': class_materials
}
return render(request, 'myclasses/edit_class.html', context)
def delete_class(request, class_id):
"""delete selected class"""
class_to_delete = get_object_or_404(AllClasses, pk=class_id)
class_to_delete.delete()
messages.success(request, 'Class deleted successfully')
return redirect(reverse('myclasses'))
def material_detail(request, material_id):
"""A view to edit a material"""
material = get_object_or_404(AllMaterials, pk=material_id)
if request.method == 'POST':
form_upload = AllMaterialsForm(
request.POST, request.FILES, instance=material)
if form_upload.is_valid:
form_upload.save()
messages.success(request, 'Changes saved successfully')
else:
messages.error(
request, 'Form incorrect, make sure you fill the \
required fields correctly')
form_upload = AllMaterialsForm(instance=material)
context = {
'material': material,
'form_upload': form_upload
}
return render(request, 'myclasses/edit_material.html', context)
def delete_material(request, material_id):
"""delete selected material"""
material_to_delete = get_object_or_404(AllMaterials, pk=material_id)
class_id = material_to_delete.for_class.id
material_to_delete.delete()
messages.success(request, 'Material deleted successfully')
return redirect(reverse('class_detail', args=[class_id]))
|
[
"aws.sabah.gheni@gmail.com"
] |
aws.sabah.gheni@gmail.com
|
77f21156798c5bae31be3f5fd590ebc03fcc5dee
|
15a031f15b66d89ca3251d906deafbb1fda93199
|
/CompuCell3D/player/UI/LatticeDataModelTable.py
|
85dc117cccc90e5a2a207745b6f04f7d32e447df
|
[] |
no_license
|
odellus/CompuCell3D
|
52c4f0dae6d1b133bc906f95ca35ae1e73e46eff
|
690b0effc4a495e500397c1917f577123d501731
|
refs/heads/master
| 2020-02-26T15:12:21.207376
| 2013-11-26T17:47:36
| 2013-11-26T17:47:36
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,715
|
py
|
from PyQt4.QtCore import *
from PyQt4.QtGui import *
MODULENAME = '---- UI/LatticeDataModelTable.py: '
class LatticeDataModelTable(QTableView):
def __init__(self, parent, vm):
QTableView.__init__(self, parent)
self.setFrameStyle(QFrame.NoFrame)
self.setSelectionBehavior(QAbstractItemView.SelectRows)
self.setColumnWidth(0, 100)
self.setAlternatingRowColors (True)
self.horizontalHeader().setStretchLastSection(True)
# vm - viewmanager, instance of class TabView
self.vm = vm
#self.__resizeColumns()
def setParams(self):
"""
Sets the parameters if the QTableView when the model is set
"""
if self.model() is None:
return
# assert self.model().
# print self.model()
for i in range(0, self.model().rowCount()):
self.setRowHeight(i, 20)
self.setColumnWidth(0, 130)
#self.cplugins.setColumnWidth(1, 200)
self.setAlternatingRowColors (True)
self.horizontalHeader().setStretchLastSection(True)
self.connect(self, SIGNAL("clicked(const QModelIndex &)"), self.__pickMCSDirect)
self.connect(self, SIGNAL("doubleClicked(const QModelIndex &)"), self.__pickAndAdvanceMCSDirect)
def prepareToClose(self):
self.disconnect(self, SIGNAL("clicked(const QModelIndex &)"), self.__pickMCSDirect)
self.disconnect(self, SIGNAL("doubleClicked(const QModelIndex &)"), self.__pickAndAdvanceMCSDirect)
def __pickAndAdvanceMCSDirect(self,idx):
self.vm.simulation.setCurrentStepDirectAccess(idx.row())
self.vm.stepAct.trigger()
def __pickMCSDirect(self, idx):
# First, get the row number based on the idx (instance of QModelIndex)
# idx0 = idx.sibling(idx.row(), 0)
print MODULENAME,"__pickMCSDirect(): calling self.vm.simulation.setCurrentStepDirectAccess(idx.row())= ",idx.row()
self.vm.simulation.setCurrentStepDirectAccess(idx.row())
# idx1 = idx.sibling(idx.row(), 1)
# pluginInfo = [self.model().data(idx0, Qt.DisplayRole).toString(), self.model().data(idx1, Qt.DisplayRole).toString()]
# self.vm.showLatticeDataModelView(pluginInfo)
"""
def populateTable(self):
self.setColumnCount(2)
self.setRowCount(15)
for i in range(0, self.rowCount()):
self.setRowHeight(i, 20)
self.setHorizontalHeaderLabels(["Name", "Description"])
self.setFrameStyle(QFrame.NoFrame)
self.setColumnWidth(0, 100)
self.setColumnWidth(1, 120)
"""
|
[
"acosmane@indiana.edu"
] |
acosmane@indiana.edu
|
ab3b11dca774cf20b07066a5e9528066a6586354
|
b29934cacb6eeac08f576cddd37eda2293043f4c
|
/sources/Crea_link.py
|
56ec03856672b79abae1ae8e007ac96c4f0b49f7
|
[] |
no_license
|
Ashurawrun/Sources_Axwayautomator
|
11fd365da9944b5da6d77c9cb3655191a24798c6
|
44bd6c63a8852805d12e3b8a47fdf8a935efa3c7
|
refs/heads/master
| 2016-09-14T08:42:06.414667
| 2016-04-29T13:19:52
| 2016-04-29T13:19:52
| 57,381,563
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 15,354
|
py
|
#VERIFIER LES CAS OU ON A PLUSIEURS DOUBLONS DE MOINS DE 16 CHAR
import os, sys, MySQLdb
from myTools import *
import ConfigParser
from subprocess import Popen
# Paths & database infos
config = ConfigParser.ConfigParser()
config.read('../migrationautomator.cfg')
server_name = config.get('DATABASE', 'db_server')
database_name = config.get('DATABASE', 'db_name')
db_username = config.get('DATABASE', 'db_user')
db_password = config.get('DATABASE', 'db_pass')
path_res = config.get('PATHS', 'p_reslt')
path_tmp = config.get('PATHS', 'p_tmp')
path_logs = config.get('PATHS', 'p_logs')
path_trace = config.get('PATHS', 'p_trace')
fname = os.path.normpath("%s\Crea_link" % path_res)
fvtcmd = os.path.join(path_res , "%s.cmd"%fname)
# Default values
default_app = config.get('REF', 'default_app')
default_script = config.get('REF', 'default_script')
default_spath = config.get('REF', 'default_script_path')
# Connexions to DB
db0 = MySQLdb.connect(host="%s" % server_name, user="%s" % db_username, passwd="%s" % db_password, db="%s" % database_name)
cursor0 = db0.cursor()
db1 = MySQLdb.connect(host="%s" % server_name, user="%s" % db_username, passwd="%s" % db_password, db="%s" % database_name)
cursor1 = db1.cursor()
db2 = MySQLdb.connect(host="%s" % server_name, user="%s" % db_username, passwd="%s" % db_password, db="%s" % database_name)
cursor2 = db2.cursor()
def selectData (tname, idkey, value, idkeyvalue):
query = """SELECT %s FROM %s WHERE %s=\"%s\" """ %(value, tname, idkey, idkeyvalue)
#query = """SELECT V_VALUE FROM to_var WHERE ID_KEY = \"VA0000030352\" """ # %(column2, tname, column1, value)
lines = cursor1.execute(query)
data = cursor1.fetchone()
if data == None:
data = "None"
else:
data = data[0]
#print data
return data
# Fn to find a string inside of a file
def isStringInFile(mystring):
fcheck = os.path.normpath("%s\Env_sans_app.txt" % path_logs)
fcheckenv = open(fcheck, "r") # Check if the env has at least one app
mystring = mystring + "\n" # to avoid finding a string name inside a bigger string
for line in fcheckenv:
if mystring in line:
return True
return False
fcheckenv.close()
# Fn to find a string inside of a file
def isAS400(idjob):
query = """SELECT ID_AGENT FROM to_obj_job WHERE ID_KEY=\"%s\" """ %(idjob)
lines = cursor0.execute(query)
data = cursor0.fetchone()
if data == None:
data = "None"
else:
idhost = data[0]
if idhost[0:2] == "VA":
idhost = selectData("to_var", "ID_KEY", "V_VALUE", idhost)
typequeue = selectData("cf_agt", "ID_KEY", "V_SYSTYPE", idhost)
if typequeue == 2:
#queue = "queue_as400"
return True
else: return False
def IDtoString (id):
typequeue = 0
if id[0:2] == "AT":
idname = selectData("to_obj_wait", "ID", "V_USRNAME", id)
id_app = selectData("to_obj_wait", "ID", "ID_APP", id)
id_script = selectData("to_obj_wait", "ID", "DS_DELAY", id)
id_script = "Sleep.bat /Par=\""+str(id_script)+"\" "
if id[0:2] == "NW": # Risque de devoir ajouter les memes lignes qu'A "CM" pour considerer les jobs AS400
idname = selectData("to_obj_notif_wait", "ID", "V_USRNAME", id)
id_app = selectData("to_obj_notif_wait", "ID", "ID_APP", id)
id_script = default_script
if id[0:2] == "ET":
idname = selectData("to_obj_and", "ID", "V_USRNAME", id) # A VERIFIER (probleme = si le job est lie a une app cas non traite => regarder si ID_APP != "None")
id_app = selectData("to_obj_and", "ID", "ID_APP", id)
id_script = "jobok.bat"
if id[0:2] == "OU":
idname = selectData("to_obj_or", "ID", "V_USRNAME", id) # A VERIFIER (probleme = si le job est lie a une app cas non traite => regarder si ID_APP != "None")
id_app = selectData("to_obj_or", "ID", "ID_APP", id)
id_script = "jobok.bat"
if id[0:2] == "AF":
idname = selectData("to_obj_affectation", "ID", "V_USRNAME", id)
id_app = selectData("to_obj_affectation", "ID", "ID_APP", id)
id_script = default_script
if id[0:2] == "NM": # Risque de devoir ajouter les memes lignes qu'A "CM" pour considerer les jobs AS400
idname = selectData("to_obj_notif_monitor", "ID", "V_USRNAME", id)
id_app = selectData("to_obj_notif_monitor", "ID", "ID_APP", id)
id_script = default_script
if id[0:2] == "CM":
idname = selectData("to_obj_command", "ID", "V_USRNAME", id)
id_app = selectData("to_obj_command", "ID", "ID_APP", id)
idhost = selectData("to_obj_command", "ID", "ID_AGENT", id)
if idhost[0:2] == "VA":
idhost = selectData("to_var", "ID_KEY", "V_VALUE", idhost)
else:
if idhost == "None":
typequeue = 0
else:
typequeue = selectData("cf_agt", "ID_KEY", "V_SYSTYPE", idhost)
if typequeue == 2:
id_script = "#OS400#"
else:
id_script = default_script
if id[0:2] == "TE":
idname = selectData("to_obj_test_res", "ID", "V_USRNAME", id)
id_app = selectData("to_obj_test_res", "ID", "ID_APP", id)
id_script = default_script
if id[0:2] == "AB":
idname = selectData("to_obj_abort", "ID", "V_USRNAME", id)
id_app = selectData("to_obj_abort", "ID", "ID_APP", id)
id_script = default_script
if id[0:2] == "JO":
idname = selectData("to_obj_job", "ID_KEY", "V_JNAME", id)
id_app = selectData("to_obj_job", "ID_KEY", "ID_APP", id)
id_script = selectData("to_obj_job", "ID_KEY", "V_SCRIPT", id)
if isAS400(id): id_script = "#OS400#"
if str(id_script) == "None" or str(id_script)[:1] == "<" : id_script = default_script
if id[0:2] == "NA":
idname = selectData("to_obj_notif_auto", "ID", "V_USRNAME", id)
id_app = selectData("to_obj_notif_auto", "ID", "ID_APP", id)
id_script = default_script
return (idname, id_app, id_script)
def WhichLink (idtype):
if idtype == -1:
idtype = "obli"
if idtype == 0:
idtype = "obli"
elif idtype == 1:
idtype = "excl"
elif idtype == 3:
idtype = "facu"
elif idtype == 4:
idtype = "erre"
elif idtype == 5:
idtype = "obli"
elif idtype == 6:
idtype = "obli"
elif idtype == 7:
idtype = "obli"
elif idtype == 8:
idtype = "facu"
else:
idtype = "obli"
return idtype
if __name__ == "__main__":
query = """SELECT ID, ID_ENV, ID_APP, V_USRNAME, OBJ_FROM, OBJ_TO, LTYPE FROM to_obj_link"""
lines = cursor2.execute(query)
data = cursor2.fetchall()
# get the number of rows in the resultset
numrows = int(cursor2.rowcount)
dic_env = {}
i = 0
k = 0
z = 0
nb = 0
Liste_elem_vu = []
Liste_elem_vu2 = []
print "--------------- Processing of links ------------------\n"
#-------------------------------------------------------------------------------------------------------------------------
# si la table de correspondance et le fichier existent deja
corr_cptlink = 0
fcorname = "correspondances" # a mettre avant la boucle for
fcorrtab = os.path.join(path_tmp,"%s_tab.db"%fcorname) # a mettre avant la boucle for
corrTab = getTab(fcorrtab)
#corrTab["env"] ==> peut etre utilisee pour pacourir les environnements trouves avec le nom vt correspondant
corrTab["link"] = [] # a mettre avant la boucle for
fcorname = "correspondances" # a mettre avant la boucle for
fcorrtab = os.path.join(path_tmp,"%s_tab.db"%fcorname) # a mettre avant la boucle for
lvtom_envnames = getListVTnames("env", corrTab)
lvtom_appnames = getListVTnames("app", corrTab)
lvtom_jobnames = getListVTnames("job", corrTab)
#-------------------------------------------------------------------------------------------------------------------------
# Creation de fichiers pour contenir les informations.
fname = os.path.normpath("%s\Crea_link.cmd" % path_res)
f = open(fname, "w")
fname2 = os.path.normpath("%s\link_App_16char.txt" % path_logs)
f2 = open(fname2, "w")
fname3 = os.path.normpath("%s\Log_lien" % path_trace)
f3 = open(fname3, "w")
for d in data:
creerapp = False
nb += 1
if (nb == numrows/10):
print "10% processed"
if (nb == numrows/4):
print "25% processed"
if (nb == numrows*4/10):
print "40% processed"
if (nb == numrows/2):
print "50% processed"
if (nb == numrows*6/10):
print "60% processed"
if (nb == numrows*3/4):
print "75% processed"
if (nb == numrows*9/10):
print "90% processed"
if (nb == numrows):
print "100% processed"
(lien_id, env_name, app_name, lien_name, idfrom, idto, idtype) = d
dic_env[lien_id]= (lien_name, idfrom, idto, idtype)
# Don't migrate job "FCL", "ST" or "SF"
if str(idfrom[0:3]) == "FCL" or str(idto[0:3]) == "FCL":
continue
if str(idfrom[0:2]) == "ST" or str(idto[0:2]) == "ST":
continue
if str(idfrom[0:2]) == "SF" or str(idto[0:2]) == "SF":
continue
# get real value from to_var table
# idfrom is the source of the link:
if (idfrom[0:2] == "AP"):
idfrom = selectData("to_obj_app", "ID_KEY", "V_ANAME", idfrom)
else:
(idfrom,idfrom_app,idfrom_script) = IDtoString(idfrom)
# idto is the direction of the link:
if (idto[0:2] == "AP"):
idto = selectData("to_obj_app", "ID_KEY", "V_ANAME", idto)
else:
(idto,idto_app,idto_script) = IDtoString(idto)
# Get the right environment ID
if env_name[0:2] != "EB":
env_name = selectData("to_cenv", "ID_KEY", "ID_ENV", env_name)
env_name = selectData("to_env", "ID_KEY", "V_ENAME", env_name)
idtype = WhichLink(idtype)
# On va faire des liens entre les app pour eviter les cas ou les jobs ne sont pas dans des apps mais relies a des app
if str(app_name) == "None":
app_name = default_app
creerapp = True
else:
app_name = selectData("to_obj_app", "ID_KEY", "V_ANAME", app_name)
# job_name = 16 char ou moins
if len(idto) > 16:
idto = getVTname (idto, corrTab, 'job')
if len(idfrom) > 16:
idfrom = getVTname (idfrom, corrTab, 'job')
# job_name = 16 char ou moins
if len(idto) > 16:
idto = getVTname (idto, corrTab, 'link')
if len(idfrom) > 16:
idfrom = getVTname (idfrom, corrTab, 'link')
# VERIFIER SI CELA CONVIENT (rajouter un booleen garde l'etat au cas ou on veuille relier des jobs dans des apps a d'autres app sans relier les app entre elle X-liens)
# On donne a tout les jobs une app
# Si idfrom_app n'est pas nul chercher son app
if idto_app != "None":
idto_app = selectData("to_obj_app", "ID_KEY", "V_ANAME", idto_app)
if idfrom_app != "None":
idfrom_app = selectData("to_obj_app", "ID_KEY", "V_ANAME", idfrom_app)
#------ON FORMATE LE NOM DES JOBS SI NON CONFORME A VTOM ---------
# REMARQUE: ici on cree la table de correspondance pour les environnements c'est pour ca qu'on l'initalise
# a vide corrTab= {} et corrTab["env"] = [] si on utilise la table de correspondance dans un autre script
# et que cette derniere est deja remplie => on ouvre le fichier de correspondance, ca suffit.
automator_job1name = idto
lvtjobs = getListVTnames("link", corrTab)
(vtom_job1name,isnum) = formatObjName(automator_job1name, corr_cptlink, lvtjobs)
automator_job2name = idfrom
lvtjobs = getListVTnames("link", corrTab)
(vtom_job2name,isnum) = formatObjName(automator_job2name, corr_cptlink, lvtjobs)
if ((vtom_job1name != automator_job1name) and isnum):
#print vtom_jobname, "<- vtom_jobname et automator_jobname->", automator_jobname, "\n"
corr_cptlink += 1
corr = (automator_job1name, vtom_job1name)
corrTab["link"].append(corr)
elif ((vtom_job1name != automator_job1name) and not isnum):
corr = (automator_job1name, vtom_job1name)
corrTab["link"].append(corr)
if ((vtom_job2name != automator_job2name) and isnum):
#print vtom_jobname, "<- vtom_jobname et automator_jobname->", automator_jobname, "\n"
corr_cptlink += 1
corr = (automator_job2name, vtom_job2name)
corrTab["link"].append(corr)
elif ((vtom_job2name != automator_job2name) and not isnum):
corr = (automator_job2name, vtom_job2name)
corrTab["link"].append(corr)
#---------------------------------------------------------------------------------------
idto = vtom_job1name
idfrom = vtom_job2name
# Si idfrom_app ou idto_app est nul lui donner idfrom en app
if idto_app == "None": idto_app = str(idto[0:16])
if idfrom_app == "None": idfrom_app = str(idfrom[0:16])
if str(idto) == "None":
idto = str(idto_app)
if str(idfrom) == "None":
idfrom = str(idfrom_app)
#Test pour voir si il est possible qu'un job ne soit pas relie a une app mais que l'on ait un id d'app dans la table
if((idfrom_app == "None" or idto_app == "None") and str(app_name) != "None"):
f2.write("ATTENTION LIEN A PROBLEME !\n ID du lien : %s\n IDFROM %s\n IDTO %s\n NOM DE L'APP %s \n" % (lien_id, idfrom, idto, app_name))
continue
# Env_name = 16 char ou moins
if len(env_name) > 16:
f2.write("Nom de l'env: %s\n" % env_name)
env_name = getVTname (env_name, corrTab, 'env')
if env_name in Liste_elem_vu :
if len(env_name)>= 16: f2.write(" /!\\ Environnement vu en double: %s\n" % env_name)
# App_name = 16 char ou moins
if len(app_name) > 16:
app_name = getVTname (app_name, corrTab, 'app')
if app_name not in Liste_elem_vu2:
if len(app_name)>= 16: f2.write(" /!\\ Application vue en double: %s\n" % app_name)
# On verifie que les jobs sont bien dans une application
if (app_name == "None" and idfrom_app == "None" or idto_app =="None"):
f2.write("%s --appname--> , %s et %s --idfromapp-->, %s et %s idto_app--> %s -- Lien_id\n" % (app_name, idfrom_app, idfrom, idto_app, idto, lien_id))
break;
# If our environment isn't containing any application
# we create our job in an app named after the environment
if isStringInFile(env_name) == True:
# Don't create an app for each job
app_name = env_name
if idfrom_script != "#OS400#" :
idfrom_script = '#' + default_spath + "\\" + idfrom_script
if idto_script != "#OS400#" :
idto_script = '#' + default_spath + "\\" + idto_script
# If our job doesn't need to have an application created for it
if (app_name != default_app):
f.write("vtaddjob /Nom=%s/%s/%s /Script=%s /LienDe=%s/%s/%s[%s]\n" % (env_name, app_name, idfrom, idfrom_script, env_name, app_name, idto, idtype))
# If our job may not end up in an application, we'll create one for it
else:
# We start by processing idto because idfrom is being processed while we create the link
f.write("vtaddapp /Nom=%s/%s /Comm=\"Application correspondante au job %s\"\n" % (env_name, idto_app, idto))
# We create the link and process idfrom at the same time
f.write("vtaddapp /Nom=%s/%s /LienDe=%s/%s[%s]\n" % (env_name, idfrom_app, env_name, idto, idtype))
# VERIFIER POURQUOI IDFROM PEUT DEPASSER 16 CHAR (vtaddjob /Nom=CAIXA_SOIR/SAUVEGARDE_AV_TO/SAUVEGARDE_AV_TOUT)
# On place les jobs correspondants dans les app que l'on vient de creer plutot que de les laisser dans des app par defaut
f.write("vtaddjob /Nom=%s/%s/%s /Script=%s\n" % (env_name, idfrom_app, idfrom, idfrom_script))
f.write("vtaddjob /Nom=%s/%s/%s /Script=%s\n" % (env_name, idto_app, idto, idto_script))
Liste_elem_vu2.append(app_name)
Liste_elem_vu.append(env_name)
print "Number of elements processed: %s\n" % nb
db0.close()
db1.close()
db2.close()
cursor0.close()
cursor1.close()
cursor2.close()
savetab(corrTab, "%s_tab.txt"%fcorname) # a mettre en fin de script
saveTabinDB(corrTab,"%s_tab.db"%fcorname) # a mettre en fin de script
f.close()
f2.close()
f3.close()
# print dic_env
|
[
"zachary.aich@gmail.com"
] |
zachary.aich@gmail.com
|
105c24e05a3f4259c2c7cc41340ced4dd8179fad
|
1d3d5e57ee65dc4b8ed2fcd52d3815b8b55263ab
|
/services/hostAdvisor.py
|
18c429d198f773bcc7755e7a1d55a6cd8a06d875
|
[] |
no_license
|
sandeepgoyalsoftmine/consumerchoice
|
d01ede459c1f6ab7afcc065c698af68d467a9cb7
|
afc23f3e5e37b8e8feb94339ae53bcc6c13ba34f
|
refs/heads/master
| 2021-10-25T09:01:50.651740
| 2018-06-04T05:07:53
| 2018-06-04T05:07:53
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,946
|
py
|
from model.Servicemodel import ServiceRecord
class hostAdvisor():
def __init__(self):
pass
def parsing(self, response):
return self.crawl(response, self.category, self.servicename)
def crawl(self, response, category, servicename):
reviews = []
self.category = category
self.servicename = servicename
# https://www.hostadvisor.com/reviews/shared-web-hosting/bluehost
for node in response.xpath("//div[@class='textHolder']/div[2]/p"):
reviews.append(node.xpath('string()').extract());
ratings = response.xpath("//div[@class='textHolder']/div/span/meta[@itemprop='ratingValue']/@content").extract()
# dates = response.xpath("//div[@class='review-mid']/p/text()").extract()
headings = response.xpath("//div[@class='textHolder']/h5/text()").extract()
img_src = response.xpath("//div[@class='user-img ']/img/@src").extract()
authors = response.xpath("//div[@class='hidden-xs']/p[1]/text()").extract()
website_name = response.xpath("//div[@class='wpcr3_item_name']/a/text()").extract()
authors = map(lambda s: s.strip(), authors)
authors = list(filter(None, authors))
for item in range(0, len(reviews)):
servicename1 = ServiceRecord(response.url, ratings[item], headings[item], None, authors[item],
category, servicename, reviews[item], img_src, website_name)
servicename1.save()
next_page = response.xpath("//div[@class='reviewBlock']/nav[@class='text-center']/ul[@class='pagination']/li[21]/a/@href").extract()
if next_page is not None:
next_page_url = "".join(next_page)
if next_page_url and next_page_url.strip():
print(type(next_page_url))
print(next_page_url, " url")
yield response.follow(url=next_page_url, callback=self.parsing)
|
[
"meetmadhvi@gmail.com"
] |
meetmadhvi@gmail.com
|
758947346f258dfaa370e9ebc934f7ca3c4cde97
|
ad13583673551857615498b9605d9dcab63bb2c3
|
/output/instances/nistData/list/hexBinary/Schema+Instance/NISTXML-SV-IV-list-hexBinary-enumeration-4-1.py
|
d5cb297ea60881e24f20f7d83f0236fae53a4e85
|
[
"MIT"
] |
permissive
|
tefra/xsdata-w3c-tests
|
397180205a735b06170aa188f1f39451d2089815
|
081d0908382a0e0b29c8ee9caca6f1c0e36dd6db
|
refs/heads/main
| 2023-08-03T04:25:37.841917
| 2023-07-29T17:10:13
| 2023-07-30T12:11:13
| 239,622,251
| 2
| 0
|
MIT
| 2023-07-25T14:19:04
| 2020-02-10T21:59:47
|
Python
|
UTF-8
|
Python
| false
| false
| 912
|
py
|
from output.models.nist_data.list_pkg.hex_binary.schema_instance.nistschema_sv_iv_list_hex_binary_enumeration_4_xsd.nistschema_sv_iv_list_hex_binary_enumeration_4 import NistschemaSvIvListHexBinaryEnumeration4
from output.models.nist_data.list_pkg.hex_binary.schema_instance.nistschema_sv_iv_list_hex_binary_enumeration_4_xsd.nistschema_sv_iv_list_hex_binary_enumeration_4 import NistschemaSvIvListHexBinaryEnumeration4Type
obj = NistschemaSvIvListHexBinaryEnumeration4(
value=NistschemaSvIvListHexBinaryEnumeration4Type.VALUE_7168_777275626C6363707476636B7162706F6B70686B7862676E646E68706F677779726968696B646E656A627472676C6F_626C776F63737665747779736F6B77716B69_61647977697674746762_6977786F707669636D68706F6D7672777370636A666E6E6F627572777778726A6E7975707274636669616B6667646B6F75646774_77666F67626C6A747368676B7969746865666C6679707966756A676168636A6F666C68646F6D77666A69766370766F_70707369796F766B68
)
|
[
"tsoulloftas@gmail.com"
] |
tsoulloftas@gmail.com
|
9a659bef0e747acd3d04556d2e0de0f01168fcfe
|
69c40bae92ff05816aa01971a5f942c5351b01c9
|
/Student.py
|
5988a1d4ccdcab53a2f14eafebc5cf3f3e843bd3
|
[] |
no_license
|
SultanovDastan/task4_1
|
95114db3e6d66eac8ffb647b909f762dd0c41945
|
90db06b97b1ed6fa51a3ec25bb92a42989014254
|
refs/heads/master
| 2022-04-08T14:17:28.726592
| 2020-01-27T14:38:36
| 2020-01-27T14:38:36
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 525
|
py
|
class Student():
def __init__(self, name, last_name, department, year_of_entrance):
self.name = name
self.last_name = last_name
self.department = department
self. year_of_entrance = year_of_entrance
def get_student_info(self):
print(f"{self.name} {self.last_name} поступил в {self.year_of_entrance} г. на факультет: {self.department}")
example = Student('Вася', 'Иванов', 'Программирование', 2017)
example.get_student_info()
|
[
"dastsultan@gmail.com"
] |
dastsultan@gmail.com
|
9a387d7c54e519d975c1c599af012510ed2a1d8e
|
f809842aa3bba5b7c6d9de9fee75ef288e49f34c
|
/housing/scrapingapi/main.py
|
8ba227536312d7c5fc558fd6a38bbc17b8bd53c8
|
[] |
no_license
|
sumit12dec/housinghack
|
a386bf7418d27d62e65ab07569f9e0974e4d6f4b
|
5a6ad5b2906ea11d7a1cce9cb784522a003c6dfa
|
refs/heads/master
| 2020-05-19T10:22:51.616876
| 2015-04-26T06:36:46
| 2015-04-26T06:36:46
| 34,600,214
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 945
|
py
|
#appcfg.py -A enduring-grid-600 update appengine-try-python
from flask import Flask, render_template, request, jsonify
import summarize
import summ
import flask
app = Flask(__name__)
# main index
@app.route("/")
def index():
return render_template("index.html")
# cobrand session token
@app.route("/Add", methods=["GET","POST"])
def add():
a = request.form.get("value_a")
if "http" not in a:
a="http://"+a
#sum1=int(a)+int(b)
sum1 =summarize.main1(a)
return render_template("Add.html", a=a,sum1=sum1)
@app.route("/API", methods=["GET","POST"])
def api_call():
passed_url = request.args.get('url')
if "http" not in passed_url:
passed_url="http://"+passed_url
#Algorithm based on sentence score with the count of important words
#sum1 =summarize.main1(passed_url)
#algorithm based on word in title
sum2 = summ.sum2(passed_url)
return flask.jsonify(**sum2)
if __name__ == "__main__":
app.run(debug=True)
|
[
"sumit786raj@gmail.com"
] |
sumit786raj@gmail.com
|
56d0d89e3d61a18f5e0a3f77063771e2406feec9
|
db9e36884af2902aff100796e535f8069c72e17b
|
/happyquota/apps.py
|
223ead8c8770b9fb59e7a73ab3fef5415a94da53
|
[] |
no_license
|
ninathestrange/Sunday_fun
|
3e026be9b498acfdc82c6d5d67f1efbd12f686c1
|
f72aeb7f4adb9685e6fb42031c896d021941ffb6
|
refs/heads/master
| 2021-04-15T13:22:52.041898
| 2018-03-25T08:15:00
| 2018-03-25T08:15:00
| 126,676,808
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 95
|
py
|
from django.apps import AppConfig
class HappyquotaConfig(AppConfig):
name = 'happyquota'
|
[
"noreply@github.com"
] |
ninathestrange.noreply@github.com
|
0a28e84ffa257856133d168603d7f59b87306709
|
67866535afa1db9aa28b62971f78a04db9d3b488
|
/advanced_deep_learning/10_supervised_unsupervised_pretrained/02_mlp_supervised_pretrain.py
|
e3f9a57b4508eee0e6f4b475921e1ad6fb1e68f5
|
[] |
no_license
|
deeplearningcomplete/deeplearning
|
d9cf13f7f6952203c4525865e1e41044889093b7
|
d35dcb3dca13fbf18ad903e5b64bddac660d5f92
|
refs/heads/main
| 2023-02-04T06:47:27.464357
| 2020-12-19T05:19:35
| 2020-12-19T05:19:35
| 322,517,818
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,915
|
py
|
# supervised greedy layer-wise pretraining for blobs classification problem
from sklearn.datasets.samples_generator import make_blobs
from keras.layers import Dense
from keras.models import Sequential
from keras.optimizers import SGD
from keras.utils import to_categorical
from matplotlib import pyplot
# prepare the dataset
def prepare_data():
# generate 2d classification dataset
X, y = make_blobs(n_samples=1000, centers=3, n_features=2, cluster_std=2, random_state=2)
# one hot encode output variable
y = to_categorical(y)
# split into train and test
n_train = 500
trainX, testX = X[:n_train, :], X[n_train:, :]
trainy, testy = y[:n_train], y[n_train:]
return trainX, testX, trainy, testy
# define and fit the base model
def get_base_model(trainX, trainy):
# define model
model = Sequential()
model.add(Dense(10, input_dim=2, activation='relu', kernel_initializer='he_uniform'))
model.add(Dense(3, activation='softmax'))
# compile model
opt = SGD(lr=0.01, momentum=0.9)
model.compile(loss='categorical_crossentropy', optimizer=opt, metrics=['accuracy'])
# fit model
model.fit(trainX, trainy, epochs=100, verbose=0)
return model
# evaluate a fit model
def evaluate_model(model, trainX, testX, trainy, testy):
_, train_acc = model.evaluate(trainX, trainy, verbose=0)
_, test_acc = model.evaluate(testX, testy, verbose=0)
return train_acc, test_acc
# add one new layer and re-train only the new layer
def add_layer(model, trainX, trainy):
# remember the current output layer
output_layer = model.layers[-1]
# remove the output layer
model.pop()
# mark all remaining layers as non-trainable
for layer in model.layers:
layer.trainable = False
# add a new hidden layer
model.add(Dense(10, activation='relu', kernel_initializer='he_uniform'))
# re-add the output layer
model.add(output_layer)
# fit model
model.fit(trainX, trainy, epochs=100, verbose=0)
# prepare data
trainX, testX, trainy, testy = prepare_data()
# get the base model
model = get_base_model(trainX, trainy)
# evaluate the base model
scores = dict()
train_acc, test_acc = evaluate_model(model, trainX, testX, trainy, testy)
print('> layers=%d, train=%.3f, test=%.3f' % (len(model.layers), train_acc, test_acc))
scores[len(model.layers)] = (train_acc, test_acc)
# add layers and evaluate the updated model
n_layers = 10
for i in range(n_layers):
# add layer
add_layer(model, trainX, trainy)
# evaluate model
train_acc, test_acc = evaluate_model(model, trainX, testX, trainy, testy)
print('> layers=%d, train=%.3f, test=%.3f' % (len(model.layers), train_acc, test_acc))
# store scores for plotting
scores[len(model.layers)] = (train_acc, test_acc)
# plot number of added layers vs accuracy
pyplot.plot(scores.keys(), [scores[k][0] for k in scores.keys()], label='train', marker='.')
pyplot.plot(scores.keys(), [scores[k][1] for k in scores.keys()], label='test', marker='.')
pyplot.legend()
pyplot.show()
|
[
"karthikkannan@gmail.com"
] |
karthikkannan@gmail.com
|
d15f01d03cea200079bdcce17fb8b29dec89b94a
|
b92adbd59161b701be466b3dbeab34e2b2aaf488
|
/.c9/metadata/environment/clean_architecture/clean_architecture_resources/fb_post_clean_arch/views/create_post/validator_class.py
|
ff140690df2ce0debcfbaf3c621b61368854230c
|
[] |
no_license
|
R151865/cloud_9_files
|
7486fede7af4db4572f1b8033990a0f07f8749e8
|
a468c44e9aee4a37dea3c8c9188c6c06e91cc0c4
|
refs/heads/master
| 2022-11-22T10:45:39.439033
| 2020-07-23T09:31:52
| 2020-07-23T09:31:52
| 281,904,416
| 0
| 1
| null | 2022-11-20T00:47:10
| 2020-07-23T09:08:48
|
Python
|
UTF-8
|
Python
| false
| false
| 516
|
py
|
{"filter":false,"title":"validator_class.py","tooltip":"/clean_architecture/clean_architecture_resources/fb_post_clean_arch/views/create_post/validator_class.py","undoManager":{"mark":-1,"position":-1,"stack":[]},"ace":{"folds":[],"scrolltop":0,"scrollleft":0,"selection":{"start":{"row":0,"column":0},"end":{"row":0,"column":0},"isBackwards":false},"options":{"guessTabSize":true,"useWrapMode":false,"wrapToView":true},"firstLineState":0},"timestamp":1589533447210,"hash":"b7a1b343b481d4d5e7ebf6a139a17ec49189299c"}
|
[
"r151865@rguktrkv.ac.in"
] |
r151865@rguktrkv.ac.in
|
cdbf21fc1057921b1678bb10ae2cae545d83127b
|
25d641a55eb868cc74fd4e3e4daea43f6deb5853
|
/3 - Web UI & API/virtual/Lib/site-packages/pip/_vendor/chardet/_vti_cnf/hebrewprober.py
|
47b2605ae0226c7927c2f4f47d044f756cd8ea68
|
[] |
no_license
|
greens1/Final-Year-Project
|
370b7ef9979049cfc75e6776da24c7a286848b71
|
2e72f43893595deef6aa5323773a6161f2cd873a
|
refs/heads/master
| 2022-11-13T19:55:17.884414
| 2018-05-17T22:15:14
| 2018-05-17T22:15:14
| 133,852,365
| 1
| 0
| null | 2022-11-01T20:11:11
| 2018-05-17T18:21:16
|
Python
|
UTF-8
|
Python
| false
| false
| 194
|
py
|
vti_encoding:SR|utf8-nl
vti_timelastmodified:TR|15 Apr 2018 11:07:36 -0000
vti_extenderversion:SR|12.0.0.0
vti_cacheddtm:TX|15 Apr 2018 11:07:36 -0000
vti_filesize:IR|14130
vti_backlinkinfo:VX|
|
[
"greens1@tcd.ie"
] |
greens1@tcd.ie
|
27aa9ed9aecdc11eac33e56b0b2375bf6cb56d24
|
dc74b8903b3bf675cd4085d4e13535591fee8696
|
/server/paramiko/client.py
|
94f7d49be725a3cda790db8a2c177c25cac492e0
|
[
"MIT"
] |
permissive
|
ludojmj/treelud
|
1f1ccbe50c218e541e688b8d7b41dbf0826f6fdd
|
37dda35000786f359c8ddb3674572f49b8d78c48
|
refs/heads/master
| 2021-01-10T19:28:21.667660
| 2020-04-18T11:30:54
| 2020-04-18T11:30:54
| 32,236,293
| 3
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 24,745
|
py
|
# Copyright (C) 2006-2007 Robey Pointer <robeypointer@gmail.com>
#
# This file is part of paramiko.
#
# Paramiko is free software; you can redistribute it and/or modify it under the
# terms of the GNU Lesser General Public License as published by the Free
# Software Foundation; either version 2.1 of the License, or (at your option)
# any later version.
#
# Paramiko is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
# details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with Paramiko; if not, write to the Free Software Foundation, Inc.,
# 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA.
"""
SSH client & key policies
"""
from binascii import hexlify
import getpass
import os
import socket
import warnings
from paramiko.agent import Agent
from paramiko.common import DEBUG
from paramiko.config import SSH_PORT
from paramiko.dsskey import DSSKey
from paramiko.ecdsakey import ECDSAKey
from paramiko.hostkeys import HostKeys
from paramiko.py3compat import string_types
from paramiko.resource import ResourceManager
from paramiko.rsakey import RSAKey
from paramiko.ssh_exception import SSHException, BadHostKeyException
from paramiko.transport import Transport
from paramiko.util import retry_on_signal, ClosingContextManager
class SSHClient (ClosingContextManager):
"""
A high-level representation of a session with an SSH server. This class
wraps `.Transport`, `.Channel`, and `.SFTPClient` to take care of most
aspects of authenticating and opening channels. A typical use case is::
client = SSHClient()
client.load_system_host_keys()
client.connect('ssh.example.com')
stdin, stdout, stderr = client.exec_command('ls -l')
You may pass in explicit overrides for authentication and server host key
checking. The default mechanism is to try to use local key files or an
SSH agent (if one is running).
Instances of this class may be used as context managers.
.. versionadded:: 1.6
"""
def __init__(self):
"""
Create a new SSHClient.
"""
self._system_host_keys = HostKeys()
self._host_keys = HostKeys()
self._host_keys_filename = None
self._log_channel = None
self._policy = RejectPolicy()
self._transport = None
self._agent = None
def load_system_host_keys(self, filename=None):
"""
Load host keys from a system (read-only) file. Host keys read with
this method will not be saved back by `save_host_keys`.
This method can be called multiple times. Each new set of host keys
will be merged with the existing set (new replacing old if there are
conflicts).
If ``filename`` is left as ``None``, an attempt will be made to read
keys from the user's local "known hosts" file, as used by OpenSSH,
and no exception will be raised if the file can't be read. This is
probably only useful on posix.
:param str filename: the filename to read, or ``None``
:raises IOError:
if a filename was provided and the file could not be read
"""
if filename is None:
# try the user's .ssh key file, and mask exceptions
filename = os.path.expanduser('~/.ssh/known_hosts')
try:
self._system_host_keys.load(filename)
except IOError:
pass
return
self._system_host_keys.load(filename)
def load_host_keys(self, filename):
"""
Load host keys from a local host-key file. Host keys read with this
method will be checked after keys loaded via `load_system_host_keys`,
but will be saved back by `save_host_keys` (so they can be modified).
The missing host key policy `.AutoAddPolicy` adds keys to this set and
saves them, when connecting to a previously-unknown server.
This method can be called multiple times. Each new set of host keys
will be merged with the existing set (new replacing old if there are
conflicts). When automatically saving, the last hostname is used.
:param str filename: the filename to read
:raises IOError: if the filename could not be read
"""
self._host_keys_filename = filename
self._host_keys.load(filename)
def save_host_keys(self, filename):
"""
Save the host keys back to a file. Only the host keys loaded with
`load_host_keys` (plus any added directly) will be saved -- not any
host keys loaded with `load_system_host_keys`.
:param str filename: the filename to save to
:raises IOError: if the file could not be written
"""
# update local host keys from file (in case other SSH clients
# have written to the known_hosts file meanwhile.
if self._host_keys_filename is not None:
self.load_host_keys(self._host_keys_filename)
with open(filename, 'w') as f:
for hostname, keys in self._host_keys.items():
for keytype, key in keys.items():
f.write('%s %s %s\n' % (hostname, keytype, key.get_base64()))
def get_host_keys(self):
"""
Get the local `.HostKeys` object. This can be used to examine the
local host keys or change them.
:return: the local host keys as a `.HostKeys` object.
"""
return self._host_keys
def set_log_channel(self, name):
"""
Set the channel for logging. The default is ``"paramiko.transport"``
but it can be set to anything you want.
:param str name: new channel name for logging
"""
self._log_channel = name
def set_missing_host_key_policy(self, policy):
"""
Set the policy to use when connecting to a server that doesn't have a
host key in either the system or local `.HostKeys` objects. The
default policy is to reject all unknown servers (using `.RejectPolicy`).
You may substitute `.AutoAddPolicy` or write your own policy class.
:param .MissingHostKeyPolicy policy:
the policy to use when receiving a host key from a
previously-unknown server
"""
self._policy = policy
def connect(self, hostname, port=SSH_PORT, username=None, password=None, pkey=None,
key_filename=None, timeout=None, allow_agent=True, look_for_keys=True,
compress=False, sock=None, gss_auth=False, gss_kex=False,
gss_deleg_creds=True, gss_host=None, banner_timeout=None):
"""
Connect to an SSH server and authenticate to it. The server's host key
is checked against the system host keys (see `load_system_host_keys`)
and any local host keys (`load_host_keys`). If the server's hostname
is not found in either set of host keys, the missing host key policy
is used (see `set_missing_host_key_policy`). The default policy is
to reject the key and raise an `.SSHException`.
Authentication is attempted in the following order of priority:
- The ``pkey`` or ``key_filename`` passed in (if any)
- Any key we can find through an SSH agent
- Any "id_rsa", "id_dsa" or "id_ecdsa" key discoverable in
``~/.ssh/``
- Plain username/password auth, if a password was given
If a private key requires a password to unlock it, and a password is
passed in, that password will be used to attempt to unlock the key.
:param str hostname: the server to connect to
:param int port: the server port to connect to
:param str username:
the username to authenticate as (defaults to the current local
username)
:param str password:
a password to use for authentication or for unlocking a private key
:param .PKey pkey: an optional private key to use for authentication
:param str key_filename:
the filename, or list of filenames, of optional private key(s) to
try for authentication
:param float timeout: an optional timeout (in seconds) for the TCP connect
:param bool allow_agent: set to False to disable connecting to the SSH agent
:param bool look_for_keys:
set to False to disable searching for discoverable private key
files in ``~/.ssh/``
:param bool compress: set to True to turn on compression
:param socket sock:
an open socket or socket-like object (such as a `.Channel`) to use
for communication to the target host
:param bool gss_auth: ``True`` if you want to use GSS-API authentication
:param bool gss_kex: Perform GSS-API Key Exchange and user authentication
:param bool gss_deleg_creds: Delegate GSS-API client credentials or not
:param str gss_host: The targets name in the kerberos database. default: hostname
:param float banner_timeout: an optional timeout (in seconds) to wait
for the SSH banner to be presented.
:raises BadHostKeyException: if the server's host key could not be
verified
:raises AuthenticationException: if authentication failed
:raises SSHException: if there was any other error connecting or
establishing an SSH session
:raises socket.error: if a socket error occurred while connecting
.. versionchanged:: 1.15
Added the ``banner_timeout``, ``gss_auth``, ``gss_kex``,
``gss_deleg_creds`` and ``gss_host`` arguments.
"""
if not sock:
for (family, socktype, proto, canonname, sockaddr) in socket.getaddrinfo(hostname, port, socket.AF_UNSPEC, socket.SOCK_STREAM):
if socktype == socket.SOCK_STREAM:
af = family
addr = sockaddr
break
else:
# some OS like AIX don't indicate SOCK_STREAM support, so just guess. :(
af, _, _, _, addr = socket.getaddrinfo(hostname, port, socket.AF_UNSPEC, socket.SOCK_STREAM)
sock = socket.socket(af, socket.SOCK_STREAM)
if timeout is not None:
try:
sock.settimeout(timeout)
except:
pass
retry_on_signal(lambda: sock.connect(addr))
t = self._transport = Transport(sock, gss_kex=gss_kex, gss_deleg_creds=gss_deleg_creds)
t.use_compression(compress=compress)
if gss_kex and gss_host is None:
t.set_gss_host(hostname)
elif gss_kex and gss_host is not None:
t.set_gss_host(gss_host)
else:
pass
if self._log_channel is not None:
t.set_log_channel(self._log_channel)
if banner_timeout is not None:
t.banner_timeout = banner_timeout
t.start_client()
ResourceManager.register(self, t)
server_key = t.get_remote_server_key()
keytype = server_key.get_name()
if port == SSH_PORT:
server_hostkey_name = hostname
else:
server_hostkey_name = "[%s]:%d" % (hostname, port)
# If GSS-API Key Exchange is performed we are not required to check the
# host key, because the host is authenticated via GSS-API / SSPI as
# well as our client.
if not self._transport.use_gss_kex:
our_server_key = self._system_host_keys.get(server_hostkey_name,
{}).get(keytype, None)
if our_server_key is None:
our_server_key = self._host_keys.get(server_hostkey_name,
{}).get(keytype, None)
if our_server_key is None:
# will raise exception if the key is rejected; let that fall out
self._policy.missing_host_key(self, server_hostkey_name,
server_key)
# if the callback returns, assume the key is ok
our_server_key = server_key
if server_key != our_server_key:
raise BadHostKeyException(hostname, server_key, our_server_key)
if username is None:
username = getpass.getuser()
if key_filename is None:
key_filenames = []
elif isinstance(key_filename, string_types):
key_filenames = [key_filename]
else:
key_filenames = key_filename
if gss_host is None:
gss_host = hostname
self._auth(username, password, pkey, key_filenames, allow_agent,
look_for_keys, gss_auth, gss_kex, gss_deleg_creds, gss_host)
def close(self):
"""
Close this SSHClient and its underlying `.Transport`.
"""
if self._transport is None:
return
self._transport.close()
self._transport = None
if self._agent is not None:
self._agent.close()
self._agent = None
def exec_command(self, command, bufsize=-1, timeout=None, get_pty=False):
"""
Execute a command on the SSH server. A new `.Channel` is opened and
the requested command is executed. The command's input and output
streams are returned as Python ``file``-like objects representing
stdin, stdout, and stderr.
:param str command: the command to execute
:param int bufsize:
interpreted the same way as by the built-in ``file()`` function in
Python
:param int timeout:
set command's channel timeout. See `Channel.settimeout`.settimeout
:return:
the stdin, stdout, and stderr of the executing command, as a
3-tuple
:raises SSHException: if the server fails to execute the command
"""
chan = self._transport.open_session()
if get_pty:
chan.get_pty()
chan.settimeout(timeout)
chan.exec_command(command)
stdin = chan.makefile('wb', bufsize)
stdout = chan.makefile('r', bufsize)
stderr = chan.makefile_stderr('r', bufsize)
return stdin, stdout, stderr
def invoke_shell(self, term='vt100', width=80, height=24, width_pixels=0,
height_pixels=0):
"""
Start an interactive shell session on the SSH server. A new `.Channel`
is opened and connected to a pseudo-terminal using the requested
terminal type and size.
:param str term:
the terminal type to emulate (for example, ``"vt100"``)
:param int width: the width (in characters) of the terminal window
:param int height: the height (in characters) of the terminal window
:param int width_pixels: the width (in pixels) of the terminal window
:param int height_pixels: the height (in pixels) of the terminal window
:return: a new `.Channel` connected to the remote shell
:raises SSHException: if the server fails to invoke a shell
"""
chan = self._transport.open_session()
chan.get_pty(term, width, height, width_pixels, height_pixels)
chan.invoke_shell()
return chan
def open_sftp(self):
"""
Open an SFTP session on the SSH server.
:return: a new `.SFTPClient` session object
"""
return self._transport.open_sftp_client()
def get_transport(self):
"""
Return the underlying `.Transport` object for this SSH connection.
This can be used to perform lower-level tasks, like opening specific
kinds of channels.
:return: the `.Transport` for this connection
"""
return self._transport
def _auth(self, username, password, pkey, key_filenames, allow_agent,
look_for_keys, gss_auth, gss_kex, gss_deleg_creds, gss_host):
"""
Try, in order:
- The key passed in, if one was passed in.
- Any key we can find through an SSH agent (if allowed).
- Any "id_rsa", "id_dsa" or "id_ecdsa" key discoverable in ~/.ssh/
(if allowed).
- Plain username/password auth, if a password was given.
(The password might be needed to unlock a private key, or for
two-factor authentication [for which it is required].)
"""
saved_exception = None
two_factor = False
allowed_types = []
# If GSS-API support and GSS-PI Key Exchange was performed, we attempt
# authentication with gssapi-keyex.
if gss_kex and self._transport.gss_kex_used:
try:
self._transport.auth_gssapi_keyex(username)
return
except Exception as e:
saved_exception = e
# Try GSS-API authentication (gssapi-with-mic) only if GSS-API Key
# Exchange is not performed, because if we use GSS-API for the key
# exchange, there is already a fully established GSS-API context, so
# why should we do that again?
if gss_auth:
try:
self._transport.auth_gssapi_with_mic(username, gss_host,
gss_deleg_creds)
return
except Exception as e:
saved_exception = e
if pkey is not None:
try:
self._log(DEBUG, 'Trying SSH key %s' % hexlify(pkey.get_fingerprint()))
allowed_types = self._transport.auth_publickey(username, pkey)
two_factor = (allowed_types == ['password'])
if not two_factor:
return
except SSHException as e:
saved_exception = e
if not two_factor:
for key_filename in key_filenames:
for pkey_class in (RSAKey, DSSKey, ECDSAKey):
try:
key = pkey_class.from_private_key_file(key_filename, password)
self._log(DEBUG, 'Trying key %s from %s' % (hexlify(key.get_fingerprint()), key_filename))
self._transport.auth_publickey(username, key)
two_factor = (allowed_types == ['password'])
if not two_factor:
return
break
except SSHException as e:
saved_exception = e
if not two_factor and allow_agent:
if self._agent is None:
self._agent = Agent()
for key in self._agent.get_keys():
try:
self._log(DEBUG, 'Trying SSH agent key %s' % hexlify(key.get_fingerprint()))
# for 2-factor auth a successfully auth'd key will result in ['password']
allowed_types = self._transport.auth_publickey(username, key)
two_factor = (allowed_types == ['password'])
if not two_factor:
return
break
except SSHException as e:
saved_exception = e
if not two_factor:
keyfiles = []
rsa_key = os.path.expanduser('~/.ssh/id_rsa')
dsa_key = os.path.expanduser('~/.ssh/id_dsa')
ecdsa_key = os.path.expanduser('~/.ssh/id_ecdsa')
if os.path.isfile(rsa_key):
keyfiles.append((RSAKey, rsa_key))
if os.path.isfile(dsa_key):
keyfiles.append((DSSKey, dsa_key))
if os.path.isfile(ecdsa_key):
keyfiles.append((ECDSAKey, ecdsa_key))
# look in ~/ssh/ for windows users:
rsa_key = os.path.expanduser('~/ssh/id_rsa')
dsa_key = os.path.expanduser('~/ssh/id_dsa')
ecdsa_key = os.path.expanduser('~/ssh/id_ecdsa')
if os.path.isfile(rsa_key):
keyfiles.append((RSAKey, rsa_key))
if os.path.isfile(dsa_key):
keyfiles.append((DSSKey, dsa_key))
if os.path.isfile(ecdsa_key):
keyfiles.append((ECDSAKey, ecdsa_key))
if not look_for_keys:
keyfiles = []
for pkey_class, filename in keyfiles:
try:
key = pkey_class.from_private_key_file(filename, password)
self._log(DEBUG, 'Trying discovered key %s in %s' % (hexlify(key.get_fingerprint()), filename))
# for 2-factor auth a successfully auth'd key will result in ['password']
allowed_types = self._transport.auth_publickey(username, key)
two_factor = (allowed_types == ['password'])
if not two_factor:
return
break
except (SSHException, IOError) as e:
saved_exception = e
if password is not None:
try:
self._transport.auth_password(username, password)
return
except SSHException as e:
saved_exception = e
elif two_factor:
raise SSHException('Two-factor authentication requires a password')
# if we got an auth-failed exception earlier, re-raise it
if saved_exception is not None:
raise saved_exception
raise SSHException('No authentication methods available')
def _log(self, level, msg):
self._transport._log(level, msg)
class MissingHostKeyPolicy (object):
"""
Interface for defining the policy that `.SSHClient` should use when the
SSH server's hostname is not in either the system host keys or the
application's keys. Pre-made classes implement policies for automatically
adding the key to the application's `.HostKeys` object (`.AutoAddPolicy`),
and for automatically rejecting the key (`.RejectPolicy`).
This function may be used to ask the user to verify the key, for example.
"""
def missing_host_key(self, client, hostname, key):
"""
Called when an `.SSHClient` receives a server key for a server that
isn't in either the system or local `.HostKeys` object. To accept
the key, simply return. To reject, raised an exception (which will
be passed to the calling application).
"""
pass
class AutoAddPolicy (MissingHostKeyPolicy):
"""
Policy for automatically adding the hostname and new host key to the
local `.HostKeys` object, and saving it. This is used by `.SSHClient`.
"""
def missing_host_key(self, client, hostname, key):
client._host_keys.add(hostname, key.get_name(), key)
if client._host_keys_filename is not None:
client.save_host_keys(client._host_keys_filename)
client._log(DEBUG, 'Adding %s host key for %s: %s' %
(key.get_name(), hostname, hexlify(key.get_fingerprint())))
class RejectPolicy (MissingHostKeyPolicy):
"""
Policy for automatically rejecting the unknown hostname & key. This is
used by `.SSHClient`.
"""
def missing_host_key(self, client, hostname, key):
client._log(DEBUG, 'Rejecting %s host key for %s: %s' %
(key.get_name(), hostname, hexlify(key.get_fingerprint())))
raise SSHException('Server %r not found in known_hosts' % hostname)
class WarningPolicy (MissingHostKeyPolicy):
"""
Policy for logging a Python-style warning for an unknown host key, but
accepting it. This is used by `.SSHClient`.
"""
def missing_host_key(self, client, hostname, key):
warnings.warn('Unknown %s host key for %s: %s' %
(key.get_name(), hostname, hexlify(key.get_fingerprint())))
|
[
"ludovic.villejarno@gmail.com"
] |
ludovic.villejarno@gmail.com
|
e1f53dd5ad847aa7e775fada07a7ed10e5226e31
|
1ea6a7cd966258f2d0fda05b2be5050cea3a4839
|
/reminders/migrations/0006_auto_20161110_1950.py
|
70ef7ddf491bd5bca6c19e38c31b6ea2f797a1e4
|
[] |
no_license
|
AntycSolutions/PerfectArchOrthotics
|
7696cc86960d8d573f2d4f6496fb602ebd48010d
|
489d691c8a43d087f8c5e1f689bd5b224313ed31
|
refs/heads/master
| 2022-11-07T17:55:45.806247
| 2022-11-03T22:03:20
| 2022-11-03T22:03:20
| 26,507,909
| 0
| 1
| null | 2022-04-06T21:55:23
| 2014-11-11T22:30:13
|
HTML
|
UTF-8
|
Python
| false
| false
| 596
|
py
|
# -*- coding: utf-8 -*-
# Generated by Django 1.9.11 on 2016-11-11 02:50
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('reminders', '0005_auto_20161110_1610'),
]
operations = [
migrations.AlterField(
model_name='claimreminder',
name='created',
field=models.DateField(),
),
migrations.AlterField(
model_name='orderreminder',
name='created',
field=models.DateField(),
),
]
|
[
"and_555@hotmail.com"
] |
and_555@hotmail.com
|
584071fc69a3056c37f3694115546bd1436cfeec
|
13b0e4c9152f75be05e764167fbe7274bb58f7fe
|
/idlebook/account/management/commands/set_trade_expired.py
|
6f0f0193cfba26d0abf39680a3edef258abd75c7
|
[
"MIT"
] |
permissive
|
shawiz/idlebook
|
eebc7ba1d3e1e739e3b85f67598a68a64b4aba6a
|
407846f6cc6b5a2ec0c3cc60202e7a474c15f3f2
|
refs/heads/master
| 2020-12-04T05:43:43.161118
| 2014-08-08T22:44:34
| 2014-08-08T22:44:34
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 608
|
py
|
from django.core.management.base import BaseCommand, CommandError
from django.conf import settings
from idlebook.account.models import Trade
from time import localtime, strftime
import logging
logger = logging.getLogger("django")
class Command(BaseCommand):
args = '<None>'
help = 'Make all the expired (in days) trades expired (in database)'
def handle(self, *args, **options):
trades = Trade.objects.filter(request_status__lt=3)
for trade in trades:
trade.set_expired()
logger.info('[%s] all set expired' % strftime("%a, %d %b %Y %H:%M:%S", localtime()))
|
[
"shawiz@gmail.com"
] |
shawiz@gmail.com
|
0b76ba1353231f4978baf5a1bcbf82fe9c8b7ec5
|
1a33806484c9839eb191eef84aca25214bbc248a
|
/Klavesnice2.py
|
4d59aea76dc762631f0cc4d10465dd4a8305c8d1
|
[] |
no_license
|
PetrPatera/Raspberry
|
71be6335dc50fa67e014d64a1c4b2654948065a3
|
7af68c5e3cd8bc865a0f278c2e16ceb7a4314ff8
|
refs/heads/master
| 2023-05-25T11:12:02.908818
| 2021-06-13T21:20:15
| 2021-06-13T21:20:15
| 376,491,584
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,759
|
py
|
import RPi.GPIO as GPIO
from time import sleep
#from Teplomer import Teplomer
from SBW import Conditions
from PWM import Servo
from RGB import RGBLED
from Bzucak import Noise
GPIO.setmode(GPIO.BCM)
Nr1Pin = 13
Nr2Pin = 6
Nr3Pin = 26
Nr4Pin = 19
"Klávesnice tlačítko 1"
GPIO.setup(Nr1Pin, GPIO.IN, pull_up_down=GPIO.PUD_UP)
Nr1 = GPIO.input(Nr1Pin)
"Klávesnice tlačítko 2"
GPIO.setup(Nr2Pin, GPIO.IN, pull_up_down=GPIO.PUD_UP)
Nr2 = GPIO.input(Nr2Pin)
"Klávesnice tlačítko 3"
GPIO.setup(Nr3Pin, GPIO.IN, pull_up_down=GPIO.PUD_UP)
Nr3 = GPIO.input(Nr3Pin)
"Klávesnice tlačítko 4"
GPIO.setup(Nr4Pin, GPIO.IN, pull_up_down=GPIO.PUD_UP)
Nr4 = GPIO.input(Nr4Pin)
class AutomatickaKlavesnice():
def callback_Nr1(self):
bzucakmuj = Noise()
return bzucakmuj.opakovaneBzuceni10()
def callback_Nr2(self):
rgbmoje = RGBLED()
return rgbmoje.bilaRGB_BLICK() #teplomermuj.read_temp_print()
def callback_Nr3(self):
servomoje = Servo()
rgbmoje = RGBLED()
servomoje.akceCLOSE(), rgbmoje.redRGBSemafor_on(), rgbmoje.greenRGB_off()
return print("Závora zavřena")
def callback_Nr4(self):
servomoje = Servo()
rgbmoje = RGBLED()
servomoje.akceOPEN(), rgbmoje.redRGB_off(), rgbmoje.greenRGB_on()
return print("Závora otevřena")
GPIO.add_event_detect(Nr1Pin, GPIO.RISING, callback=AutomatickaKlavesnice.callback_Nr1, bouncetime=500)
GPIO.add_event_detect(Nr2Pin, GPIO.RISING, callback=AutomatickaKlavesnice.callback_Nr2, bouncetime=500)
GPIO.add_event_detect(Nr3Pin, GPIO.RISING, callback=AutomatickaKlavesnice.callback_Nr3, bouncetime=500)
GPIO.add_event_detect(Nr4Pin, GPIO.RISING, callback=AutomatickaKlavesnice.callback_Nr4, bouncetime=500)
|
[
"lamkost666@gmail.com"
] |
lamkost666@gmail.com
|
f22ae0fda0c604745410fb3286cc8b0d54789f0c
|
740ee815346c01ef9a758a759cc5761e45d12a16
|
/ExcelApi/settings.py
|
67d798ceb0e693f0951e691d965ae14c4357b6d5
|
[] |
no_license
|
Parsepec/excel-microapi
|
f1c4230b23b1b9f1e9b45695688ba9d9ca4c5c15
|
b46e076efa33d9a26fe9fca4fd9e3eb21b8a60aa
|
refs/heads/master
| 2022-11-09T19:30:04.758945
| 2020-06-20T10:51:23
| 2020-06-20T10:51:23
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,269
|
py
|
"""
Django settings for ExcelApi project.
Generated by 'django-admin startproject' using Django 3.0.7.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.0/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'xvpaga1=)u47y6i$%58g7_zjoev6d9l=c!j%qu)mczvd+fcc4^'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'excel_api',
'rest_framework',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'ExcelApi.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'ExcelApi.wsgi.application'
# Database
# https://docs.djangoproject.com/en/3.0/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/3.0/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/3.0/howto/static-files/
STATIC_URL = '/static/'
# ...
STATICFILES_DIRS = [
os.path.join(BASE_DIR, 'static'),
]
MEDIA_URL = '/media/'
MEDIA_ROOT = os.path.join(BASE_DIR, "media")
|
[
"oluwanifemi.bamgbose@stu.cu.edu.ng"
] |
oluwanifemi.bamgbose@stu.cu.edu.ng
|
9d9082951863af4772160aa2e637862081e3ffc7
|
879a7814faaf31643436b1ba6013bacae05105c8
|
/app/views.py
|
25835253a02322ecb785e4aa4918333a303fb0b1
|
[] |
no_license
|
DanilaMIPT/Batman
|
39d50e601fa10648d3c10cb99be7334302b4a3a5
|
305ed24739b4a8b5a00c12e68f333fd7680b43c5
|
refs/heads/master
| 2022-12-11T17:50:04.260212
| 2018-11-05T16:20:13
| 2018-11-05T16:20:13
| 150,150,717
| 0
| 0
| null | 2022-12-08T02:56:07
| 2018-09-24T18:36:54
|
Python
|
UTF-8
|
Python
| false
| false
| 785
|
py
|
from flask import request, abort, jsonify
import json
from app import app, jsonrpc
@jsonrpc.method('hello')
@app.route('/<string:name>/')
@app.route('/')
def index(name="world"):
return "Hello, {}!".format( name )
@app.route('/favicon.ico')
def icon():
return
@app.route('/form/', methods=['GET', 'POST'])
def form():
if request.method == "GET":
return """<html><head></head><body>
<form method="POST" action="/form/">
<input name="first_name" >
<input name="last_name" >
<input type="submit" >
</form>
</body></html>"""
else:
rv = jsonify( request.form )
return rv
print(request.form)
abort(404)
@jsonrpc.method('print_name')
def foo():
return {"name": "Ivan"}
|
[
"doronin1303@bk.ru"
] |
doronin1303@bk.ru
|
1070ab53df4c62e33fc5bd2b8c3c96f318a2d3f1
|
528def9844f2ce13e6a358938b0b560945ab2248
|
/sa/profiles/Eltex/LTE/get_mac_address_table.py
|
866acae1ff242df63d6b434ef71e077c22fa5394
|
[
"BSD-3-Clause"
] |
permissive
|
skripkar/noc
|
055afbd42ab4c447d05d2cde0a822916f9e0844e
|
df193b99e478fe39157c8d27ff4098262d9cb734
|
refs/heads/master
| 2020-04-10T12:53:09.602779
| 2018-12-08T07:50:30
| 2018-12-08T07:50:30
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,021
|
py
|
# -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# Eltex.LTE.get_mac_address_table
# ---------------------------------------------------------------------
# Copyright (C) 2007-2017 The NOC Project
# See LICENSE for details
# ---------------------------------------------------------------------
# Python modules
import re
# NOC modules
from noc.core.script.base import BaseScript
from noc.sa.interfaces.igetmacaddresstable import IGetMACAddressTable
class Script(BaseScript):
name = "Eltex.LTE.get_mac_address_table"
interface = IGetMACAddressTable
cache = True
rx_olt = re.compile(
r"^(?P<vlan_id>\d+)\s+(?P<mac>\S+)\s+(?P<interface>(\S+ \d+|\S+))\s+"
r"(?P<type>\S+)\s+\S+\s+\S+( to CPU)?\s+\d+\s*$", re.MULTILINE)
rx_switch = re.compile(
r"^\s*(?P<vlan_id>\d+)\s+\S+\s+(?P<mac>\S+)\s+(?P<type>\S+)\s+"
r"(?P<interface>\d+|CPU)\s+", re.MULTILINE)
def execute(self, interface=None, vlan=None, mac=None):
r = []
"""
I do not know, how parse this
----MAC table for OLT channel 0:----
0) CONFIG Ch/ID: x/134 STATUS Ch/ID: 0/134 MAC: 02:00:22:00:14:B4 Port: uni0
+0) C8:BE:19:B1:8B:F1
1) CONFIG Ch/ID: x/134 STATUS Ch/ID: 0/134 MAC: 02:00:22:00:14:B4 Port: uni1
+0) 00:07:67:99:AD:7B
2) CONFIG Ch/ID: 0/20 STATUS Ch/ID: 0/20 MAC: 02:00:4D:01:80:B4 Port: uni0
+0) A8:F9:4B:03:44:81
+1) 1C:BB:A8:0F:25:3A
+2) 00:02:9B:92:04:64
# LTE ports
cmd = "show mac table"
if interface is not None:
cmd += " %s" % interface
else:
cmd += " x"
for match in self.rx_olt.finditer(self.cli(cmd)):
interfaces = match.group("interfaces")
if interfaces == '0':
continue
r.append({
"vlan_id": match.group("vlan_id"),
"mac": match.group("mac"),
"interfaces": [interfaces],
"type": {
"dynamic": "D",
"static": "S",
"permanent": "S",
"self": "S"
}[match.group("type").lower()],
})
"""
# Switch ports
cmd = "show mac"
if vlan is not None:
cmd += " include vlan %s" % vlan
elif interface is not None:
cmd += " include interface %s" % interface
elif mac is not None:
cmd += " include mac %s" % self.profile.convert_mac(mac)
with self.profile.switch(self):
c = self.cli(cmd, cached=True)
for match in self.rx_switch.finditer(c):
interface = match.group("interface")
mtype = {
"dynamic": "D",
"static": "S",
"permanent": "S",
"self": "S"
}[match.group("type").lower()]
if interface == "CPU":
mtype = "C"
r += [{
"vlan_id": match.group("vlan_id"),
"mac": match.group("mac"),
"interfaces": [interface],
"type": mtype
}]
if r:
return r
for match in self.rx_olt.finditer(c):
interface = match.group("interface")
mtype = {
"dynamic": "D",
"static": "S",
"permanent": "S",
"self": "S"
}[match.group("type").lower()]
if interface == "CPU":
mtype = "C"
r += [{
"vlan_id": match.group("vlan_id"),
"mac": match.group("mac"),
"interfaces": [interface],
"type": mtype
}]
return r
|
[
"dmitryluhtionov@gmail.com"
] |
dmitryluhtionov@gmail.com
|
5f6ac69f835d445a78e68743e16a9231dcebf520
|
f3af143bada7f79db1e15b4386e5107bc99eb212
|
/ProjectBaseTest1/python核心编程/02-高级3-元类/04-內建属性.py
|
d7c424dc46d1bbd6a571beecc80758b70bc8bde8
|
[] |
no_license
|
xxxfly/PythonStudy
|
a5ceae1d2b16cfdba19871507458154fc292bca0
|
478d89ccefc91a84f935aebdca796c9d4c23ef61
|
refs/heads/master
| 2022-04-08T13:45:03.405768
| 2020-03-09T03:47:50
| 2020-03-09T03:47:50
| 45,187,749
| 4
| 2
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,778
|
py
|
#-*- coding:utf-8 -*-
from functools import reduce
# 常用专有属性 说明 触发方式
# __init__ 构造初始化函数 创建实例后,赋值时使用,在 __new__ 后
# __new__ 生成实例所需属性 创建实例时
# __class__ 实例所在的类 实例. __class__
# __str__ 实例字符串表
# 示,可读性 print(类实例),如没实现,
# 使用repr结果
# __repr__ 实例字符串表
# 示,准确性 类实例 回⻋ 或者
# print(repr(类实例))
# __del__ 析构 del删除实例
# __dict__ 实例自定义属
# 性 vars(实例.__dict__)
# __doc__ 类文档,子类不
# 继承 help(类或实例)
# __getattribute__ 属性访问拦截
# 器 访问实例属性时
# __bases__ 类的所有父类
# 构成元素 类名.__bases__
# class Itcast(object):
# def __init__(self,subject1):
# self.subject1=subject1;
# self.subject2='cpp'
# #属性访问时拦截器
# def __getattribute__(self,obj):
# print('===1>%s'%obj)
# if obj=='subject1':
# print('log subject1')
# return 'redirect python'
# else: #测试时注释掉这2行,将找不到subject2
# temp=object.__getattribute__(self,obj)
# print('===2>%s'%str(temp))
# return temp
# def show(self):
# print('this is Itcast')
# s=Itcast('python')
# print(s.subject1)
# print(s.subject2)
# s.show()
# #1.先获取show属性对应的结果，应该是一个方法
# #2.方法()
#--------
#內建函数
#range函数 python2直接返回一个列表，python3 返回一个迭代值，需要的时候才返回一个值
#map函数
# map(function,sequence[,sequence,...])_->list
# function 是一个函数；sequence 是一个或多个序列，取决于function需要几个参数；返回一个list
l1=map(lambda x:x*x,[1,2,3,4,5])
for temp in l1:
print(temp)
print('------')
l2=map(lambda x,y:x+y,[1,2,3],[4,5,6])
for temp in l2:
print(temp)
#filter函数
#对指定的序列进行过滤操作
#filter(function or None,sequence) -> list,tump,or string
print('-------')
l3=filter(lambda x:x%2,[1,2,3,4,5])
for temp in l3:
print(temp)
#reduce函数
#对参数序列中元素进行累积
#reduce(function,sequence[,initiall]) ->value
#function 有两个参数; sequence 序列可能str，tuple,list
#initial:固定初始值
print('------')
l4=reduce(lambda x,y:x+y,[1,2,3,4])
print(l4)
print('------')
l5=reduce(lambda x,y:x+y,[1,2,3,4],5)
print(l5)
print('------')
l6=reduce(lambda x,y:x+y,['aa','bb','cc'],'dd')
print(l6)
#sorted函数
#sorted(iterable,cmp=None,key=None,reverse=False) -->new
print('------')
l7=[22,11,2,3,452,44,34,56,24]
l7.sort()
print(l7)
l7.sort(reverse=True)
print(l7)
print(sorted(l7))
print(sorted(l7,reverse=1))
|
[
"970832396@qq.com"
] |
970832396@qq.com
|
f5ea0365a6cb17eff75b02ce5028a751ec4224fa
|
3f1497cc7b294289601068785950b209fa3e695b
|
/_scripts/objecteditor/view/__init__.py
|
913119bc9b1fd621b80a0dc2b8ba6f49a508b1c4
|
[
"MIT"
] |
permissive
|
Son-Guhun/Titan-Land-Lands-of-Plenty
|
69f62e9ff7c6b720a47371fde08f69f1ffd0bda0
|
edeca1d5437a7397195799ebf4b9585ee4609fed
|
refs/heads/master
| 2021-06-22T16:41:16.950057
| 2021-01-07T14:44:17
| 2021-01-07T14:44:17
| 179,722,671
| 12
| 1
|
MIT
| 2019-08-15T01:58:28
| 2019-04-05T17:04:16
|
Objective-J
|
UTF-8
|
Python
| false
| false
| 65
|
py
|
RACES = ('Human', 'Orc', 'Undead', 'Night Elf', 'Naga', 'Creep')
|
[
"22954418+Son-Guhun@users.noreply.github.com"
] |
22954418+Son-Guhun@users.noreply.github.com
|
e20da54fdf1d8408491d34635c359bdd6df6431e
|
3775850825a82b5712c8f7a36dfe782379ed0bf1
|
/setup.py
|
feb82bd05761ae448b1a425bf2f4c6c0f0103c5f
|
[
"Apache-2.0"
] |
permissive
|
0xinsanity/fhub
|
c10f429e81c7fbcdefbafa1a902a3fe8f7f54652
|
6a140400f7209528da5bc067a37881904a048ff8
|
refs/heads/master
| 2023-03-04T17:57:41.100282
| 2021-02-21T18:35:28
| 2021-02-21T18:35:28
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,447
|
py
|
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
#
# A pythonic way to use the Finnanhub data API.
# https://github.com/paduel/fhub
from os import path
from setuptools import setup
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='fhub',
version='0.0.13',
packages=['fhub'],
include_package_data=True,
url='https://github.com/paduel/fhub',
license='Apache 2.0',
author='Paduel',
author_email='paduel@gmail.com',
description='Python client for Finnhub API ',
long_description=long_description,
long_description_content_type='text/x-rst',
classifiers=[
'License :: OSI Approved :: Apache Software License',
'Development Status :: 3 - Alpha',
# 'Development Status :: 4 - Beta',
#'Development Status :: 5 - Production/Stable',
'Operating System :: OS Independent',
'Intended Audience :: Developers',
'Topic :: Office/Business :: Financial',
'Topic :: Office/Business :: Financial :: Investment',
'Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
]
)
|
[
"paduel@gmail.com"
] |
paduel@gmail.com
|
5fdf9b35f046c61bc175c29a404a23ad70c8d07a
|
d5b3e54985f50400f1ebd82e0a76b33e37028ffc
|
/nbdler/struct/dump.py
|
0094da8460e6387f0db6f3d33396368fc88f0039
|
[
"Apache-2.0"
] |
permissive
|
lightfold/Nbdler
|
98bc85a9b1b417e176de25507838e71833eae65a
|
898d323e786079743b8df5a909f20e2fd432c445
|
refs/heads/master
| 2022-07-06T10:50:59.007254
| 2019-09-18T13:33:04
| 2019-09-18T13:33:04
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,115
|
py
|
from collections import namedtuple
BlockDumpedData = namedtuple('_BlockDumpedData', 'rel_grid url_id progress')
ProgressDumpedData = namedtuple('_ProgressDumpedData', 'range go_inc done_inc')
HandlerDumpedData = namedtuple('_HandlerDumpedData', 'console url file maxthread buffsize blocksize')
FileDumpedData = namedtuple('_FileDumpedData', 'path name size')
UrlDumpedData = namedtuple('_UrlDumpedData', 'sources')
ConsoleDumpedData = namedtuple('_ConsoleDumpedData', 'block_data acum_time')
SourceUrlDumpedData = namedtuple('_SourceUrlDumpedData',
'url headers cookie proxy max_conn rangef name response')
UrlResponseDumpedData = namedtuple('_UrlResponseDumpedData',
'url headers code length')
ManagerDumpedData = namedtuple('_ManagerDumpedData', 'task_queue max_task')
TaskDumpedData = namedtuple('_TaskDumpedData', 'id filepath opened finished failed fileinfo request child_process')
RequestDumpedData = namedtuple('_RequestDumpedData',
'sources filepath resume block_size max_retries max_thread child_process')
|
[
"405935987@163.com"
] |
405935987@163.com
|
f138b3c05b9d0714d8efe9ca088a780a369ab21b
|
f1d01d9074ace289e7e43530079b0c34ccdde4c4
|
/ontology/maturity/collect_usage_data.py
|
2c65b7aff8a76f144ad71edfb0a69aabf186a8c2
|
[] |
no_license
|
techknowledgist/techknowledgist
|
4889300a92aad8fa940d1246ddd75036d90a6563
|
7d422ac38a9212670d0ce6e26e1446fb46740837
|
refs/heads/master
| 2021-04-26T22:35:50.390037
| 2015-11-23T19:52:26
| 2015-11-23T19:52:26
| 124,117,298
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 10,271
|
py
|
"""
Creates a file with usage information for terms in a corpus, using a set of
matches over the corpus and a classification over the corpus. What it basically
does is to combine information from the classifier output and the matcher output
for the usage/maturity patterns and prepare it for further processing down the
line (maturity scoring and time series).
Usage:
$ python collect_usage_data.py OPTIONS
--corpus DIRECTORY - the name/location of the corpus
--tscores DIRECTORY - a directory created by the technology classifier
(ontology/classifier/tclassify.py), the script picks out the file
classify.MaxEnt.out.s4.scores.sum.az; it is the responsibility of the user
to make sure that the classifier results selected match the corpus
--output FILE - output file to write the results to.
--matches DIRECTORY - the name of the matches directory inside the corpus,
residing in the corpus directory in data/o2_matcher, the script picks out
the file match.results.summ.txt in DIRECTORY, the default is 'maturity'
--language (en|cn) - the language, default is to use 'en'
--limit INTEGER - the maximum number of lines to take from the file with
technology scores, useful for debugging only, defaults to using all scores
The first three options are required. For each required option there is a
short version (-c, -t and -o).
The output is a file with for each term the technology score, the usage rate,
the number of documents the term occurs in and the number of matches for the
term. The file also has a header with information on how it was generated, input
sources and a few counts including total number of terms, total number of
matches, highest match count and highest document count. Terms are filtered,
removing some obvious crap. The total counts do not include the filtered terms
or any data relating to those filtered terms.
Example:
$ setenv CORPUS /home/j/corpuswork/fuse/FUSEData/corpora/ln-cn-all-600k
$ python collect_usage_data.py \
--corpus $CORPUS/subcorpora/1995 \
--tscores $CORPUS/classifications/technologies-201502/1995 \
--output usage-1995.txt \
--language cn
In the output, terms are presented with four numbers as follows:
0.0029 0.0000 2 0 accelerometer senses
1.0000 0.0000 1 0 accelerometer sensor
0.0555 0.1201 5 2 accelerometer signal
0.9189 0.0757 1 1 accelerometer signal accel
0.9656 0.0757 1 1 accelerometer signal trace
The first column has the average technology score for the term in the corpus,
the second the usage rate, the third the number of documents the term occurs in,
and the fourth the number of matches for the term.
The usage rate is calculated as follows:
log(match_count + 1)
----------------------------
log(highest_match_count + 1)
The result is a numner between 0 and 1. Most terms have zero scores, which
corresponds to no matches found (that is, no evidence of usage found). The closer
the number gets to 1, the closer the term usage is relative to the term with the
most matches.
"""
# TODO
#
# - add check that compares files.txt in the corpus and the files used for the
# classification
import os, sys, getopt, codecs, math
sys.path.append(os.path.abspath('../..'))
from ontology.utils.git import get_git_commit
def create_usage_file(corpus, matches, tscores, output,
limit=sys.maxint, language="en"):
"""Creates a file with technology scores, usage scores, document count and
match count for each term in a corpus."""
matches_file = os.path.join(corpus, 'data', 'o2_matcher',
matches, 'match.results.summ.txt')
tscores_file = os.path.join(tscores, 'classify.MaxEnt.out.s4.scores.sum.az')
_print_header(corpus, matches, tscores, language, output)
term_matches = _read_matches(matches_file)
stats = TermStats()
print "Reading technology scores and document counts..."
c = 0
for line in codecs.open(tscores_file, encoding='utf-8'):
c += 1
if c > limit: break
if c % 100000 == 0: print "%dk" % (c/1000,),
term, score, doc_count, min, max = line.rstrip("\n\r\f").split("\t")
if filter_term(term, language):
continue
stats.update(term, score, doc_count, term_matches)
print "\nCalculating usage rates..."
calculate_usage_rates(stats)
print "Writing usage data..."
fh_out = codecs.open(output, 'w', encoding='utf-8')
_write_info(fh_out, corpus, matches_file, tscores_file)
_write_aggregate_counts(fh_out, stats)
_write_term_data(fh_out, stats.usage_data)
def calculate_usage_rates(stats):
# in rare circumstances there are no matches, use 1.0001 instead of 1 to
# avoid a null division error with the adjustment value
adjustment = math.log(stats.highest_match_count + 1.0001)
for term in stats.usage_data:
[tscore, doc_count, match_count] = stats.usage_data[term]
usage = math.log(match_count + 1) / adjustment
stats.usage_data[term] = [tscore, usage, doc_count, match_count]
def filter_term(term, language):
if language == "en": return filter_term_en(term)
if language == "cn": return filter_term_cn(term)
def filter_term_en(term):
"""Filter out some obvious crap. Do not allow (i) terms with spaces only,
(ii) terms that do not start with a letter or digit, (iii) terms with three
or more hyphens/underscores in a row, (iv) terms where half or less of the
characters are letters, (v) term is on a short list of terms that are
generated sometime during processing (untitle, None, end), and (vi) terms
with more than 75 characters. The last avoids using what could be huge
outliers like gene sequences."""
if term.strip() == '' \
or not term[0].isalnum() \
or term.find('---') > -1 \
or term.find('___') > -1 \
or len([c for c in term if c.isalpha()]) * 2 < len(term) \
or term in ('end', 'None', 'untitled') \
or len(term) > 75:
return True
return False
def filter_term_cn(term):
return False
def _print_header(corpus, matches, tscores, langauge, output):
print "\nCreating usage statistics of terms\n"
print " corpus =", corpus
print " matches =", os.path.basename(matches)
print " tscores =", os.path.basename(tscores)
print " language =", language
print " output =", output, "\n"
def _write_info(fh, corpus, matches, tscores):
fh.write("#\n# $ python %s\n#\n" % ' '.join(sys.argv))
fh.write("# git_commit = %s\n#\n" % get_git_commit())
fh.write("# corpus = %s\n" % corpus)
fh.write("# matches = %s\n" % _condense_path(matches, corpus))
fh.write("# tscores = %s\n" % _condense_path(tscores, corpus))
fh.write("#\n")
def _condense_path(path, prefix):
if path.startswith(prefix):
return "<corpus>" + path[len(prefix):]
return path
def _write_aggregate_counts(fh, stats):
fh.write("# TOTAL_TERMS = %d\n" % stats.total_terms)
fh.write("# TOTAL_MATCHES = %d\n" % stats.total_matches)
fh.write("# TOTAL_TERMS_WITH_MATCHES = %d\n" % stats.total_terms_with_matches)
fh.write("# HIGHEST_MATCH_COUNT = %d\n" % stats.highest_match_count)
fh.write("# HIGHEST_DOC_COUNT = %d\n#\n" % stats.highest_doc_count)
def _write_term_data(fh, usage_data):
for term in sorted(usage_data.keys()):
tscore, uscore, doc_count, match_count = usage_data[term]
fh.write("%.4f\t%.4f\t%d\t%d\t%s\n" %
(tscore, uscore, doc_count, match_count, term))
def _read_matches(match_file):
"""Return a hash for match_file, contains the number of matches for all
terms from the file. The input file is assumed to have all scores for a
particular year."""
print "Reading term matches..."
term_matches = {}
for line in codecs.open(match_file, encoding='utf-8'):
fields = line.split()
matches = fields[0]
term = ' '.join(fields[1:])
term_matches[term] = matches
return term_matches
class TermStats(object):
"""Convenience object to store and update counters and usage data."""
def __init__(self):
self.usage_data = {}
self.total_terms = 0
self.total_matches = 0
self.total_terms_with_matches = 0
self.highest_match_count = 0
self.highest_doc_count = 0
def update(self, term, score, doc_count, term_matches):
self.total_terms += 1
score = float(score)
doc_count = int(doc_count)
match_count = int(term_matches.get(term, 0))
if match_count > 0:
self.total_terms_with_matches += 1
self.total_matches += match_count
if match_count > self.highest_match_count:
self.highest_match_count = match_count
if doc_count > self.highest_doc_count:
self.highest_doc_count = doc_count
self.usage_data[term] = [score, doc_count, match_count]
def check_args(corpus, matches, tscores, output):
if corpus is None:
exit("ERROR: no corpus specified with --corpus option")
elif matches is None:
exit("ERROR: no matches file specified with --matches option")
elif tscores is None:
exit("ERROR: no technology scores file specified with --tscores option")
elif output is None:
exit("ERROR: no output file specified with --output option")
if __name__ == '__main__':
options = ['output=', 'corpus=', 'matches=', 'tscores=', 'limit=', 'language=']
(opts, args) = getopt.getopt(sys.argv[1:], 'o:c:t:', options)
output = None
corpus = None
tscores = None
matches = 'maturity'
language = "en"
limit = sys.maxint
for opt, val in opts:
if opt in ('--output', '-o'): output = val
elif opt in ('--corpus', '-c'): corpus = val
elif opt in ('--tscores', '-t'): tscores = val
elif opt in ('--language'): language = val
elif opt in ('--matches'): matches = val
elif opt in ('--limit'): limit = int(val)
check_args(corpus, matches, tscores, output)
create_usage_file(corpus, matches, tscores, output, limit, language)
|
[
"marc@cs.brandeis.edu"
] |
marc@cs.brandeis.edu
|
11460bff8c454943c7beb84bfd649cfaeda823ed
|
b04cb69d509427d359c35ce2699e4bad519120d1
|
/groupdocstranslationcloud/models/file_versions.py
|
c3db08927bc8357543038ec7a0f468c211ab8de4
|
[
"MIT",
"Python-2.0"
] |
permissive
|
rsinda/groupdocs-translation-cloud-python
|
f8c7d34d4a3eee38279a41baba655cc8a5ef6b3d
|
7974d2bcf992df4f556b3df44703dd78c97c257a
|
refs/heads/master
| 2023-02-28T06:31:32.191840
| 2021-02-04T15:50:58
| 2021-02-04T15:50:58
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,585
|
py
|
# coding: utf-8
# """Copyright
# --------------------------------------------------------------------------------------------------------------------
# <copyright company="Aspose" file="file_versions.py">
# Copyright (c) 2020 GroupDocs.Translation for Cloud
# </copyright>
# <summary>
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
# </summary>
# --------------------------------------------------------------------------------------------------------------------
# """
from groupdocstranslationcloud.models import BaseModel
class FileVersions(BaseModel):
"""
Attributes:
model_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
model_types = {
'value': 'list[FileVersion]'
}
attribute_map = {
'value': 'value'
}
def __init__(self, value=None):
self._value = None
if value is not None:
self.value = value
@property
def value(self):
"""Gets the value of this FileVersions.
File versions FileVersion.
:return: The value of this FileVersions.
:rtype: list[FileVersion]
"""
return self._value
@value.setter
def value(self, value):
"""Sets the value of this FileVersions.
File versions FileVersion.
:param value: The value of this FileVersions.
:type: list[FileVersion]
"""
self._value = value
|
[
"anton.perhunov@aspose.com"
] |
anton.perhunov@aspose.com
|
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