index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
4,543 | dalaomai/stuInfoManag | refs/heads/master | /app/personal/__init__.py | from flask import Blueprint
personal = Blueprint('personal',__name__)
from . import views
from ..main import errors | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,544 | dalaomai/stuInfoManag | refs/heads/master | /flasky.py | import os
import click
from flask_migrate import Migrate
from app import create_app, db
from app.models import Teacher,Student,Course,Course_Teach_Stu,Admin
from flask_script import Manager,Shell
app = create_app(os.getenv('FLASK_CONFIG') or 'default')
manager = Manager(app)
migrate = Migrate(app, db)
@app.shell_con... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,545 | dalaomai/stuInfoManag | refs/heads/master | /app/admin/__init__.py | from flask import Blueprint
admin = Blueprint('admin',__name__)
from . import views
from ..main import errors | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,546 | dalaomai/stuInfoManag | refs/heads/master | /app/models.py | from werkzeug.security import generate_password_hash, check_password_hash
from flask_login import UserMixin
from app import login_manager
from app import db
from config import RolePermission
from sqlalchemy import and_
from app.decorators import permission_required
from config import Permission
class User(UserMixin)... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,547 | dalaomai/stuInfoManag | refs/heads/master | /app/personal/forms.py | from flask_wtf import FlaskForm
from wtforms import IntegerField,StringField,PasswordField,SubmitField,SelectField,BooleanField,widgets
from wtforms.validators import Required,Length,EqualTo
class StuForm(FlaskForm):
stype = StringField("角色",render_kw={'readonly':'readonly'})
id = StringField("学号",render_kw={'... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,548 | dalaomai/stuInfoManag | refs/heads/master | /app/statistic/views.py | from . import statistic
from flask import render_template,flash,redirect,url_for,request
from flask_login import login_user,current_user,login_required,logout_user
from config import Config
from app.decorators import permission_required
from config import Permission,RolePermission
import json
from sqlalchemy import de... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,549 | dalaomai/stuInfoManag | refs/heads/master | /app/personal/views.py | from . import personal
from .forms import StuForm,TeachForm,AdminForm
from flask import render_template,flash,redirect,url_for
from flask_login import login_user,current_user,login_required,logout_user
from app.decorators import permission_required
from config import Permission
from app.models import Student,Teacher,Ad... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,550 | dalaomai/stuInfoManag | refs/heads/master | /app/source/views.py | from . import source
from flask import render_template,flash,redirect,url_for,request
from flask_login import login_user,current_user,login_required,logout_user
from config import Config
from app.decorators import permission_required
from config import Permission,RolePermission
import json
from sqlalchemy import desc,... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,551 | dalaomai/stuInfoManag | refs/heads/master | /app/teacher/views.py | from . import teacher
from flask import render_template,flash,redirect,url_for,request
from flask_login import login_user,current_user,login_required,logout_user
from config import Config
from app.decorators import permission_required
from config import Permission,RolePermission
import json
from sqlalchemy import desc... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,552 | dalaomai/stuInfoManag | refs/heads/master | /app/aclass/views.py | from . import aclass
from flask import render_template,flash,redirect,url_for,request
from flask_login import login_user,current_user,login_required,logout_user
from config import Config
from app.decorators import permission_required
from config import Permission,RolePermission
import json
from sqlalchemy import desc,... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,553 | dalaomai/stuInfoManag | refs/heads/master | /app/course/views.py | from app.course import course
from flask import render_template,flash,redirect,url_for,request
from flask_login import login_user,current_user,login_required,logout_user
from config import Config
from app.decorators import permission_required
from config import Permission,RolePermission
import json
from sqlalchemy imp... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,554 | dalaomai/stuInfoManag | refs/heads/master | /app/student/views.py | from . import student
from flask import render_template,flash,redirect,url_for,request
from flask_login import login_user,current_user,login_required,logout_user
from config import Config
from app.decorators import permission_required
from config import Permission,RolePermission
import json
from sqlalchemy import desc... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,555 | dalaomai/stuInfoManag | refs/heads/master | /app/student/__init__.py | from flask import Blueprint
student = Blueprint('student',__name__)
from . import views
from ..main import errors | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,556 | dalaomai/stuInfoManag | refs/heads/master | /app/admin/views.py | from . import admin
from flask import render_template,flash,redirect,url_for,request
from flask_login import login_user,current_user,login_required,logout_user
from config import Config
from app.decorators import permission_required
from config import Permission,RolePermission
import json
from sqlalchemy import desc,a... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,557 | dalaomai/stuInfoManag | refs/heads/master | /app/main/views.py | from flask import render_template, session, redirect, url_for, current_app
from flask_login import current_user,login_required
from app import db
from app.main import main
@main.route('/', methods=['GET', 'POST'])
@login_required
def index():
return render_template('index.html')
| {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,558 | dalaomai/stuInfoManag | refs/heads/master | /app/auth/views.py | from flask import render_template,flash,redirect,url_for
from flask_login import login_user,current_user,login_required,logout_user
from . import auth
from app.auth.forms import LoginForm
from app.models import User
@auth.route('/login',methods=['GET','POST'])
def login():
form = LoginForm()
#进入登陆页面
if not... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,559 | dalaomai/stuInfoManag | refs/heads/master | /app/aclass/__init__.py | from flask import Blueprint
aclass = Blueprint('aclass',__name__)
from . import views
from ..main import errors | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,560 | dalaomai/stuInfoManag | refs/heads/master | /app/auth/forms.py | from flask_wtf import FlaskForm
from wtforms import IntegerField,StringField,PasswordField,SubmitField,SelectField,BooleanField
from wtforms.validators import Required,Length
class LoginForm(FlaskForm):
id = StringField("ID",validators=[Required()])
passwd = PasswordField("Password",validators=[Required()])
... | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,561 | dalaomai/stuInfoManag | refs/heads/master | /app/source/__init__.py | from flask import Blueprint
source = Blueprint('source',__name__)
from . import views
from ..main import errors | {"/app/__init__.py": ["/config.py", "/app/personal/__init__.py", "/app/course/__init__.py", "/app/student/__init__.py", "/app/source/__init__.py", "/app/teacher/__init__.py", "/app/admin/__init__.py", "/app/aclass/__init__.py", "/app/statistic/__init__.py"], "/flasky.py": ["/app/__init__.py", "/app/models.py"], "/app/m... |
4,571 | TheoLvs/carbonify | refs/heads/main | /carbonify/basecarbone.py | import pandas as pd
import plotly.express as px
from nltk.tokenize import wordpunct_tokenize
class BaseCarbone:
def __init__(self,path,lang = "français"):
self.lang = lang
self.data,self._category_cols = self._prepare_data(path,lang)
@property
def categories(self):
return self.dat... | {"/carbonify/__init__.py": ["/carbonify/basecarbone.py"], "/index.py": ["/carbonify/__init__.py"]} |
4,572 | TheoLvs/carbonify | refs/heads/main | /carbonify/__init__.py | from .basecarbone import BaseCarbone | {"/carbonify/__init__.py": ["/carbonify/basecarbone.py"], "/index.py": ["/carbonify/__init__.py"]} |
4,573 | TheoLvs/carbonify | refs/heads/main | /index.py | import streamlit as st
# Page Configuration
st.set_page_config(page_title="Carbonify Tool",page_icon="🌎",layout="wide",initial_sidebar_state="expanded")
from carbonify import BaseCarbone
#------------------------------------------------------------------------------------------
# PARAMETERS
#----------------------... | {"/carbonify/__init__.py": ["/carbonify/basecarbone.py"], "/index.py": ["/carbonify/__init__.py"]} |
4,574 | simgeekiz/FashionChallenge | refs/heads/master | /data_preparation/testbatchgeneratortrain.py | from __future__ import absolute_import
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from keras.preprocessing import sequence
import sklearn
import argparse
import cPickle
import gzip
import json
from tensorflow.python.lib.io import file_io
import random
f... | {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,575 | simgeekiz/FashionChallenge | refs/heads/master | /model/trainer/confusion_matrix.py | import numpy as np
# Computes the confusion matrix given 'many-hot' encoded predictions and labels.
# Rows in the confusion matrix are in the following order: tp, fp, tn, fn.
def confusion_matrix(y_true, y_pred):
confusion = np.zeros(228,4)
for i in range(228):
confusion[0][0] = sum(y_true[i] & y_pred[i])
confu... | {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,576 | simgeekiz/FashionChallenge | refs/heads/master | /model/trainer/train.py | from __future__ import absolute_import
import numpy as np
import pandas as pd
import tensorflow as tf
import sklearn
import argparse
import cPickle
import gzip
import json
import random
import os
from tensorflow.python.lib.io import file_io
from keras.models import Model
from keras.layers import Gl... | {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,577 | simgeekiz/FashionChallenge | refs/heads/master | /pretrained_network/Pretrained-networks/ResNet50/ResNet50.py | from os.path import join
from keras.applications import ResNet50
from keras.layers import GlobalAveragePooling2D, Dense, Dropout
from keras.models import Model, load_model
from keras.utils.np_utils import to_categorical
import pandas as pd
import csv
import os
import numpy as np
import json
from matplotlib import py... | {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,578 | simgeekiz/FashionChallenge | refs/heads/master | /data_preparation/batchgeneratorv2.py | """
Module to generate batches for both the training and validation set.
For training, use the BatchGenerator.
For validation, use the BatchSequence.
"""
from os import listdir
from os.path import join
from math import ceil, floor
import numpy as np
import sklearn
from keras.utils import Sequence
fro... | {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,579 | simgeekiz/FashionChallenge | refs/heads/master | /pretrained_network/Pretrained-networks/vgg16/vgg16.py | # -*- coding: utf-8 -*-
import os
import sys
sys.path.append("../../data_preparation/")
import json
import pickle
import numpy as np
import pandas as pd
from keras.applications import VGG16
from keras.layers import GlobalAveragePooling2D, Dense, Dropout
from keras.models import Model, load_model
from batch_generator ... | {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,580 | simgeekiz/FashionChallenge | refs/heads/master | /model/trainer/exception.py | from __future__ import absolute_import
import numpy as np
import pandas as pd
from keras.models import Sequential
from keras.layers import Dense, Embedding, LSTM
from sklearn.model_selection import train_test_split
from keras.preprocessing import sequence
import sklearn
import argparse
import cPickle
import gzip
impo... | {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,581 | simgeekiz/FashionChallenge | refs/heads/master | /exception_callbacks/callbacks.py | import numpy as np
import keras
# these have to be defined in a notebook
# class Metrics(Callback):
# def on_train_begin(self, logs={}):
# self.mean_f1s = []
# self.recalls = []
# self.precisions = []
# def on_epoch_end(self, epoch, logs={}):
# y_pred = (np.asarray(self.model.p... | {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,582 | simgeekiz/FashionChallenge | refs/heads/master | /data_preparation/multilabel_functions.py | '''
Module to import multilabels. It assumes that you have run the corresponding Notebook once.
Notebook: ./MultiLabelProcessor.ipynb
'''
def get_multilabels_train(filename):
return np.load(filename)
def get_multilabels_validation(filename):
return np.load(filename)
| {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,583 | simgeekiz/FashionChallenge | refs/heads/master | /pretrained_network/model/trainer/train.py | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import sys
sys.path.append('../')
import numpy as np
import pandas as pd
from keras.models import Model
from keras.layers import GlobalAveragePooling2D, Dense, Dropout
from keras.applications import VGG16
import sklearn
import argparse
import cPi... | {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,584 | simgeekiz/FashionChallenge | refs/heads/master | /pretrained_network/model/setup.py | from setuptools import find_packages
from setuptools import setup
REQUIRED_PACKAGES = ['sklearn', 'numpy>=1.13.3', 'pandas', 'keras', 'tensorflow', 'h5py', 'pillow', 'google-gax<=0.13.0']
setup(
name='trainer',
version='0.1',
install_requires=REQUIRED_PACKAGES,
packages=find_packages(),
... | {"/model/trainer/train.py": ["/exception_callbacks/callbacks.py"]} |
4,610 | mfs6174/Twitdao11 | refs/heads/master | /image_proxy.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import memcache
from google.appengine.api import urlfetch
from base import BaseHandler
from django.utils import simplejson as json
from datetime import datetime
import md
import loggi... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,611 | mfs6174/Twitdao11 | refs/heads/master | /templatetags/string.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from django.utils import simplejson as json
from django.utils.safestring import mark_safe
from django.template.defaultfilters import stringfilter
import ttp
import utils
import time
import calendar
import rfc822
import htmllib
import urllib
register = w... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,612 | mfs6174/Twitdao11 | refs/heads/master | /templatetags/entities.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from django.template.defaultfilters import stringfilter
from google.appengine.api import urlfetch
from django.utils import simplejson as json
#from google.appengine.api import memcache
import re
import urllib
import ttp
register = webapp.template.create_... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,613 | mfs6174/Twitdao11 | refs/heads/master | /twitter.py | # -*- coding: utf-8 -*-
import oauth
from django.utils import simplejson as json
from google.appengine.api import urlfetch
import urllib
from cgi import parse_qsl
import mimetypes
import random
import logging
#default configs
CONSUMER_KEY = ''
CONSUMER_SECRET = ''
REQUEST_TOKEN_URL = 'https://api.twitter.com/oauth... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,614 | mfs6174/Twitdao11 | refs/heads/master | /templatetags/tags.py | from google.appengine.ext import webapp
register = webapp.template.create_template_register()
from django.template import Node
from django.template import TemplateSyntaxError, VariableDoesNotExist, Variable
from datetime import datetime
import rfc822
@register.tag
def tweet_stats(parser, token):
try:
ta... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,615 | mfs6174/Twitdao11 | refs/heads/master | /md.py | # -*- coding: utf-8 -*-
from google.appengine.ext import db
from google.appengine.api import memcache
from google.appengine.api import users
import hashlib
import logging
import sys
import pickle
_app_config_cache=None
class AppConfig(db.Model):
consumer_key = db.StringProperty(default='')
consumer_secret ... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,616 | mfs6174/Twitdao11 | refs/heads/master | /user.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import taskqueue
from base import BaseHandler
from twitdao import Twitdao
import md
import urllib
class ShowUserTimeline(BaseHandler):
def get(self, screen_name):
param... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,617 | mfs6174/Twitdao11 | refs/heads/master | /main.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import taskqueue
from base import BaseHandler
from twitdao import Twitdao
import md
import urllib
#Home
class HomeTimeline(BaseHandler):
def get(self):
params=self.para... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,618 | mfs6174/Twitdao11 | refs/heads/master | /twitpic2.py | # -*- coding: utf-8 -*-
import mimetypes
import urllib
import random
import oauth
from django.utils import simplejson as json
from google.appengine.api import urlfetch
_http_methods={
'GET':urlfetch.GET,
'POST':urlfetch.POST,
'HEAD':urlfetch.HEAD,
'PUT':urlfetch.PUT,
'DELETE':urlfetch.DELETE
}
... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,619 | mfs6174/Twitdao11 | refs/heads/master | /ajax1.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import taskqueue
from base import BaseHandler
from django.utils import simplejson as json
from urllib import urlencode
from twitdao import Twitdao
import md
import twitpic2
class U... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,620 | mfs6174/Twitdao11 | refs/heads/master | /settings.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import memcache
from google.appengine.api import users
from base import BaseHandler
from twitdao import Twitdao
import md
import random
import os
def _generate_id(length=64):
'... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,621 | mfs6174/Twitdao11 | refs/heads/master | /index.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import users
from base import BaseHandler
import md
_mobile = [
'2.0 MMP',
'240x320',
'400X240',
'AvantGo',
'BlackBerry',
'Blazer',
'Cellphone',
'Dang... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,622 | mfs6174/Twitdao11 | refs/heads/master | /ajax.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import taskqueue
from base import BaseHandler
from django.utils import simplejson as json
from urllib import urlencode
from twitdao import Twitdao
import md
import twitpic2
class Up... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,623 | mfs6174/Twitdao11 | refs/heads/master | /base.py | # -*- coding: utf-8 -*-
from google.appengine.dist import use_library
use_library('django','1.2')
from django.conf import settings
settings.configure(INSTALLED_APPS=('zombie',))
from google.appengine.ext import webapp
from google.appengine.ext.webapp import template
from google.appengine.api import users
from Cookie... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,624 | mfs6174/Twitdao11 | refs/heads/master | /mobile.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import users
from google.appengine.api import taskqueue
from base import BaseHandler
from twitdao import Twitdao
import md
import utils
import twitpic2
import logging
class Home(Ba... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,625 | mfs6174/Twitdao11 | refs/heads/master | /config.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import users
from google.appengine.api import memcache
from google.appengine.api import taskqueue
from base import BaseHandler
import md
import os
import logging
class AppConfig(Bas... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,626 | mfs6174/Twitdao11 | refs/heads/master | /templatetags/fix.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from django.template.defaultfilters import stringfilter
import re
register = webapp.template.create_template_register()
@register.filter
@stringfilter
def secure_image(image_url):
''' *.twimg.com to https://*.amazonaws.com '''
#comment this... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,627 | mfs6174/Twitdao11 | refs/heads/master | /utils.py |
_urlsafe_chars='ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_.'
_urlsafe_chars_num=len(_urlsafe_chars)
def tweet_id_encode(n):
tl, n = [], long(n)
while(n>0):
m, n = n%_urlsafe_chars_num, n//_urlsafe_chars_num
tl.insert(0,_urlsafe_chars[int(m)])
return ''.join(tl)
def t... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,628 | mfs6174/Twitdao11 | refs/heads/master | /twitdao.py | # -*- coding: utf-8 -*-
from google.appengine.api import memcache
from twitter import Twitter
import md
USER_CACHE_TIME = 10*60
TWEET_CACHE_TIME = 60*60
class Twitdao():
def __init__(self, token=None):
self.token = token
config = md.get_app_config()
if token:
self.tw... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,629 | mfs6174/Twitdao11 | refs/heads/master | /queue.py | # -*- coding: utf-8 -*-
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from base import BaseHandler
from twitdao import Twitdao
import md
import urllib
import logging
class UpdateUserCache(BaseHandler):
def get(self):
tk = self.param('tk')
screen_name = self... | {"/templatetags/string.py": ["/utils.py"], "/user.py": ["/base.py", "/twitdao.py", "/md.py"], "/main.py": ["/base.py", "/twitdao.py", "/md.py"], "/ajax1.py": ["/base.py", "/twitdao.py", "/md.py", "/twitpic2.py"], "/settings.py": ["/base.py", "/twitdao.py", "/md.py"], "/index.py": ["/base.py", "/md.py"], "/config.py": [... |
4,630 | chongchuanbing/api_demo | refs/heads/master | /app/utils/cache_utils.py | import random
from functools import wraps
from app import app
from app.config import CACHE_GLOBAL_PREFIX
from app.utils.redis_helper import redis_manage
class CachePrefix:
API_ADDRESS_BASE_LOC = 'address/baseLoc/'
API_VER_CODE = 'verCode/'
API_SALT = 'salt/'
API_SID = 'sid/'
API_TASK_DEVICE = 'ta... | {"/app/utils/img_util.py": ["/app/utils/auth_utils.py"]} |
4,631 | chongchuanbing/api_demo | refs/heads/master | /app/utils/img_util.py | import os
import random
import time
from urllib.request import urlopen
import io
import qrcode
from PIL import Image, ImageDraw, ImageFont
from app.config import CDN_SERVER, HOST_ID, APP_ROOT
from app.utils import ali_oss_helper
from app.utils.auth_utils import md5
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'gif', ... | {"/app/utils/img_util.py": ["/app/utils/auth_utils.py"]} |
4,632 | chongchuanbing/api_demo | refs/heads/master | /server.py | import os
import time
from flask import request, render_template
from flask import send_from_directory, redirect
from flask_cors import CORS
from app import init_app_br
from app.api.api_response import get_json_data
from app.api.api_base import get_docs
from app.app import create_app
from app.config import in_product... | {"/app/utils/img_util.py": ["/app/utils/auth_utils.py"]} |
4,633 | chongchuanbing/api_demo | refs/heads/master | /gun.py | import multiprocessing
debug = False
deamon = False
loglevel = 'info'
bind = '0.0.0.0:12345'
max_requests = 50000
worker_connections = 50000
pidfile = '/home/log/tissue/tissue_gun.pid'
x_forwarded_for_header = "X-Real-IP"
# 启动的进程数
workers = multiprocessing.cpu_count()
# workers = 3
worker_class = "gevent"
loglevel ... | {"/app/utils/img_util.py": ["/app/utils/auth_utils.py"]} |
4,634 | chongchuanbing/api_demo | refs/heads/master | /app/utils/ip2addr/__init__.py | import os
from app.config import APP_ROOT
from .ip2Region import Ip2Region
ip2region = Ip2Region(os.path.sep.join((APP_ROOT, 'app', 'utils', 'ip2addr', 'ip2region.db')))
| {"/app/utils/img_util.py": ["/app/utils/auth_utils.py"]} |
4,635 | chongchuanbing/api_demo | refs/heads/master | /app/utils/auth_utils.py | # encoding=utf-8
import base64
import hashlib
from Crypto.Cipher import DES3
import time
# from app import app
from app import app
MATCH = 1
NOT_FIND = -1
TIME_OUT = -2
MISMATCH = -3
BS = DES3.block_size
def b64decode(content):
return base64.b64decode(content).decode()
def b64encode(content):
return bas... | {"/app/utils/img_util.py": ["/app/utils/auth_utils.py"]} |
4,651 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /training/refactor_equilibrium_training.py | import torch
import numpy as np
from solvers import new_equilibrium_utils as eq_utils
from torch import autograd
from utils import cg_utils
def train_solver(single_iterate_solver, train_dataloader, test_dataloader,
measurement_process, optimizer,
save_location, loss_function, n_epochs... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,652 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /training/equilibrium_training.py | import torch
import numpy as np
from solvers import equilibrium_utils as eq_utils
from torch import autograd
def train_solver(single_iterate_solver, train_dataloader, test_dataloader,
measurement_process, optimizer,
save_location, loss_function, n_epochs,
use_datapara... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,653 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /utils/bsd500.py | import torch
import h5py
import random
import numpy as np
import os
from PIL import Image
from torchvision import transforms
class Dataset(torch.utils.data.Dataset):
def __init__(self, train=True, mode='S'):
super(Dataset, self).__init__()
self.train = train
self.mode = mode
self.da... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,654 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py | import torch
import os
import random
import sys
import argparse
sys.path.append('/home-nfs/gilton/learned_iterative_solvers')
# sys.path.append('/Users/dgilton/PycharmProjects/learned_iterative_solvers')
import torch.nn as nn
import torch.optim as optim
from torchvision import transforms
import operators.blurs as blu... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,655 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /scripts/fixedpoint/mri_prox_fixedeta_pre_and.py | import torch
import os
import random
import sys
import argparse
sys.path.append('/home-nfs/gilton/learned_iterative_solvers')
# sys.path.append('/Users/dgilton/PycharmProjects/learned_iterative_solvers')
import torch.nn as nn
import torch.optim as optim
import operators.singlecoil_mri as mrimodel
from operators.opera... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,656 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /operators/singlecoil_mri.py | import torch, numbers, math
import torch.nn as nn
import torch.nn.functional as torchfunc
from operators.operator import LinearOperator
import numpy as np
import torch
def to_tensor(data):
"""
Convert numpy array to PyTorch tensor. For complex arrays, the real and imaginary parts
are stacked along the ... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,657 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /solvers/gradnet.py | import torch.nn as nn
import torch
from solvers.cg_utils import conjugate_gradient
from PIL import Image
import imageio
import numpy as np
tt = 0
class GradNet(nn.Module):
def __init__(self, linear_operator, nonlinear_operator, eta_initial_val=0.1):
super(GradNet,self).__init__()
self.linear_op = li... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,658 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /solvers/equilibrium_nets.py | import torch.nn as nn
import torch
from solvers.cg_utils import conjugate_gradient
class EquilibriumGrad(nn.Module):
def __init__(self, linear_operator, nonlinear_operator, eta_initial_val=0.1, minval = -1, maxval = 1):
super(EquilibriumGrad,self).__init__()
self.linear_op = linear_operator
... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,659 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /solvers/equilibrium_solvers.py | import torch.nn as nn
import torch
import matplotlib
# matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
from solvers.cg_utils import conjugate_gradient
class EquilibriumGrad(nn.Module):
def __init__(self, linear_operator, nonlinear_operator, eta, minval = -1, maxval = 1):
super(EquilibriumGrad,self... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,660 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /networks/twolayer_linear_net.py | """
Copyright (c) Facebook, Inc. and its affiliates.
This source code is licensed under the MIT license found in the
LICENSE file in the root directory of this source tree.
"""
import torch
from torch import nn
from torch.nn import functional as F
class LinearNet(nn.Module):
def __init__(self, input_size, bottl... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,661 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /scripts/denoising/mri_unet_denoise.py | import torch
import os
import random
import sys
import argparse
sys.path.append('/home-nfs/gilton/learned_iterative_solvers')
# sys.path.append('/Users/dgilton/PycharmProjects/learned_iterative_solvers')
import torch.nn as nn
import torch.optim as optim
import operators.operator as lin_operator
from operators.operato... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,662 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /solvers/new_equilibrium_utils.py | import torch.nn as nn
import torch
import matplotlib
#matplotlib.use("TkAgg")
from matplotlib import pyplot as plt
import imageio
import numpy as np
from PIL import Image
def complex_conj(x):
assert x.shape[1] == 2
return torch.stack((x[:,0, ...], -x[:,1,...]), dim=1)
def torchdotproduct(x,y):
# if comple... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,663 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /training/new_equilibrium_training.py | import torch
import numpy as np
from solvers import new_equilibrium_utils as eq_utils
from torch import autograd
def train_solver(single_iterate_solver, train_dataloader, test_dataloader,
measurement_process, optimizer,
save_location, loss_function, n_epochs, forward_iterator, iterato... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,664 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /utils/testing_utils.py | from PIL import Image
import torch
import matplotlib.pyplot as plt
import numpy as np
import imageio
from PIL import Image
def save_tensor_as_color_img(img_tensor, filename):
np_array = img_tensor.cpu().detach().numpy()
imageio.save(filename, np_array)
def save_batch_as_color_imgs(tensor_batch, batch_size, ii... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,665 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /solvers/broyd_equilibrium_utils.py | import torch.nn as nn
import torch
import matplotlib
#matplotlib.use("TkAgg")
from matplotlib import pyplot as plt
import imageio
import numpy as np
from PIL import Image
def _safe_norm(v):
if not torch.isfinite(v).all():
return np.inf
return torch.norm(v)
def scalar_search_armijo(phi, phi0, derphi0... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,666 | wwhappylife/deep_equilibrium_inverse | refs/heads/main | /scripts/denoising/mri_dncnn_denoise.py | import torch
import os
import random
import sys
import argparse
sys.path.append('/home-nfs/gilton/learned_iterative_solvers')
# sys.path.append('/Users/dgilton/PycharmProjects/learned_iterative_solvers')
import torch.nn as nn
import torch.optim as optim
import operators.operator as lin_operator
from operators.operato... | {"/scripts/fixedpoint/deblur_proxgrad_fixedeta_pre.py": ["/solvers/equilibrium_solvers.py"], "/scripts/fixedpoint/mri_prox_fixedeta_pre_and.py": ["/operators/singlecoil_mri.py", "/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_unet_denoise.py": ["/solvers/equilibrium_solvers.py"], "/scripts/denoising/mri_dnc... |
4,686 | JefferyQ/boltkit | refs/heads/master | /boltkit/server/stub.py | #!/usr/bin/env python
# coding: utf-8
# Copyright (c) 2002-2016 "Neo Technology,"
# Network Engine for Objects in Lund AB [http://neotechnology.com]
#
# This file is part of Neo4j.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# Y... | {"/boltkit/server/stub.py": ["/boltkit/server/scripting.py"], "/test/test_stub_server.py": ["/boltkit/server/stub.py"], "/boltkit/__main__.py": ["/boltkit/server/__init__.py", "/boltkit/server/stub.py"]} |
4,687 | JefferyQ/boltkit | refs/heads/master | /boltkit/server/scripting.py | #!/usr/bin/env python
# coding: utf-8
# Copyright (c) 2002-2016 "Neo Technology,"
# Network Engine for Objects in Lund AB [http://neotechnology.com]
#
# This file is part of Neo4j.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# Y... | {"/boltkit/server/stub.py": ["/boltkit/server/scripting.py"], "/test/test_stub_server.py": ["/boltkit/server/stub.py"], "/boltkit/__main__.py": ["/boltkit/server/__init__.py", "/boltkit/server/stub.py"]} |
4,688 | JefferyQ/boltkit | refs/heads/master | /boltkit/server/__init__.py | #!/usr/bin/env python
# coding: utf-8
# Copyright (c) 2002-2016 "Neo Technology,"
# Network Engine for Objects in Lund AB [http://neotechnology.com]
#
# This file is part of Neo4j.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# Y... | {"/boltkit/server/stub.py": ["/boltkit/server/scripting.py"], "/test/test_stub_server.py": ["/boltkit/server/stub.py"], "/boltkit/__main__.py": ["/boltkit/server/__init__.py", "/boltkit/server/stub.py"]} |
4,689 | JefferyQ/boltkit | refs/heads/master | /test/test_stub_server.py | #!/usr/bin/env python
# coding: utf-8
# Copyright (c) 2002-2016 "Neo Technology,"
# Network Engine for Objects in Lund AB [http://neotechnology.com]
#
# This file is part of Neo4j.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# Y... | {"/boltkit/server/stub.py": ["/boltkit/server/scripting.py"], "/test/test_stub_server.py": ["/boltkit/server/stub.py"], "/boltkit/__main__.py": ["/boltkit/server/__init__.py", "/boltkit/server/stub.py"]} |
4,690 | JefferyQ/boltkit | refs/heads/master | /boltkit/__main__.py | #!/usr/bin/env python
# coding: utf-8
# Copyright (c) 2002-2016 "Neo Technology,"
# Network Engine for Objects in Lund AB [http://neotechnology.com]
#
# This file is part of Neo4j.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# Y... | {"/boltkit/server/stub.py": ["/boltkit/server/scripting.py"], "/test/test_stub_server.py": ["/boltkit/server/stub.py"], "/boltkit/__main__.py": ["/boltkit/server/__init__.py", "/boltkit/server/stub.py"]} |
4,696 | codingwithjbear/django-personal-portfolio | refs/heads/main | /blog/models.py | from django.db import models
# Create your models here.
class Blog(models.Model):
title = models.CharField(max_length=200)
description = models.TextField()
date = models.DateField()
def __str__(self): # functions have nothing to do with the database so it doesn't need to be migrated
return... | {"/portfolio/views.py": ["/portfolio/models.py"], "/blog/views.py": ["/blog/models.py"], "/portfolio/admin.py": ["/portfolio/models.py"]} |
4,697 | codingwithjbear/django-personal-portfolio | refs/heads/main | /portfolio/views.py | from django.shortcuts import render
from .models import Project
# Create your views here.
def home(request):
projects = Project.objects.all() # all the project objects from the database are placed into this variable
return render(request, 'portfolio/home.html', {'projects':projects}) #pass into the template a ... | {"/portfolio/views.py": ["/portfolio/models.py"], "/blog/views.py": ["/blog/models.py"], "/portfolio/admin.py": ["/portfolio/models.py"]} |
4,698 | codingwithjbear/django-personal-portfolio | refs/heads/main | /blog/views.py | from django.shortcuts import render, get_object_or_404 # get_Obj... tries to get and show an object or shows the 404 error
from .models import Blog
# Create your views here.
def all_blogs(request):
blog_count = Blog.objects.count
blogs = Blog.objects.order_by('-date')[:5]
#order by -date makes it so the ... | {"/portfolio/views.py": ["/portfolio/models.py"], "/blog/views.py": ["/blog/models.py"], "/portfolio/admin.py": ["/portfolio/models.py"]} |
4,699 | codingwithjbear/django-personal-portfolio | refs/heads/main | /portfolio/admin.py | from django.contrib import admin
# Register your models here.
from .models import Project
admin.site.register(Project) # says that I want to see this model inside of admin | {"/portfolio/views.py": ["/portfolio/models.py"], "/blog/views.py": ["/blog/models.py"], "/portfolio/admin.py": ["/portfolio/models.py"]} |
4,700 | codingwithjbear/django-personal-portfolio | refs/heads/main | /portfolio/models.py | from django.db import models
class Project(models.Model):
title = models.CharField(max_length=100)
description = models.CharField(max_length=250)
image = models.ImageField(upload_to='portfolio/images/') #upload_to automatically creates a media folder so this would be in media/portfolio/images
url = mod... | {"/portfolio/views.py": ["/portfolio/models.py"], "/blog/views.py": ["/blog/models.py"], "/portfolio/admin.py": ["/portfolio/models.py"]} |
4,701 | codingwithjbear/django-personal-portfolio | refs/heads/main | /blog/urls.py | from django.urls import path, include
from . import views
app_name = 'blog' #declaring the app name will help limit errors if another app has the same page name "detail" in our example
urlpatterns = [
path('',views.all_blogs, name='all_blogs'),
path('<int:blog_id>/',views.detail, name='detail'), # if any one ... | {"/portfolio/views.py": ["/portfolio/models.py"], "/blog/views.py": ["/blog/models.py"], "/portfolio/admin.py": ["/portfolio/models.py"]} |
4,735 | chenhangjun/Spam_SMS_Classify | refs/heads/master | /SignUp.py | from tkinter import *
from tkinter.messagebox import *
import pymysql
class SignUp(object):
def __init__(self, master=None):
self.db = pymysql.connect("localhost", "chenhangjun", "1030416518", "InfoDB", charset='utf8')
self.cursor = self.db.cursor()
self.root = master # 定义内部变量root
self.root = To... | {"/NBTest.py": ["/NaiveBayes.py"], "/UIMain.py": ["/Login.py"], "/Login.py": ["/MainPage.py", "/SignUp.py"]} |
4,736 | chenhangjun/Spam_SMS_Classify | refs/heads/master | /TextProcess.py | import csv
import numpy as np
import re
from zhon.hanzi import punctuation
import jieba
import pandas as pd
# 读取数据
csvFile = open("dataset.csv", "r")
reader = csv.reader(csvFile)
# type(reader) == _csv.reader
rows = [row for row in reader]
# type(rows) == list
data = np.array(rows)
# type(data) == numpy.ndarray
# data... | {"/NBTest.py": ["/NaiveBayes.py"], "/UIMain.py": ["/Login.py"], "/Login.py": ["/MainPage.py", "/SignUp.py"]} |
4,737 | chenhangjun/Spam_SMS_Classify | refs/heads/master | /NBTest.py | import numpy as np
import csv
from NaiveBayes import NaiveBayes
import matplotlib.pyplot as plt
# 读取数据
csvFile = open("dataset.csv", "r")
reader = csv.reader(csvFile)
rows = [row for row in reader]
data = np.array(rows)
# 获取标签
Y_data_str = data[:, 0]
Y_data_int = np.zeros(len(Y_data_str), dtype=int)
# Y_data_str 值的类... | {"/NBTest.py": ["/NaiveBayes.py"], "/UIMain.py": ["/Login.py"], "/Login.py": ["/MainPage.py", "/SignUp.py"]} |
4,738 | chenhangjun/Spam_SMS_Classify | refs/heads/master | /UIMain.py | from tkinter import *
from Login import *
root = Tk()
root.title('登录')
Login(root)
# MainPage(root)
root.mainloop()
| {"/NBTest.py": ["/NaiveBayes.py"], "/UIMain.py": ["/Login.py"], "/Login.py": ["/MainPage.py", "/SignUp.py"]} |
4,739 | chenhangjun/Spam_SMS_Classify | refs/heads/master | /MainPage.py | from tkinter import *
import json
import math
from zhon.hanzi import punctuation
import jieba
class MainPage(object):
def __init__(self, master=None):
self.content = ''
self.result = ''
self.root = master # 定义内部变量root
self.root = Tk(className='垃圾短信识别') # 窗口标题
self.root.geometry('%dx%d' % (60... | {"/NBTest.py": ["/NaiveBayes.py"], "/UIMain.py": ["/Login.py"], "/Login.py": ["/MainPage.py", "/SignUp.py"]} |
4,740 | chenhangjun/Spam_SMS_Classify | refs/heads/master | /Login.py | from tkinter import *
from tkinter.messagebox import *
from MainPage import *
from SignUp import *
import pymysql
class Login(object):
def __init__(self, master=None):
self.db = pymysql.connect("localhost", "chenhangjun", "1030416518", "InfoDB", charset='utf8')
self.cursor = self.db.cursor()
self.ro... | {"/NBTest.py": ["/NaiveBayes.py"], "/UIMain.py": ["/Login.py"], "/Login.py": ["/MainPage.py", "/SignUp.py"]} |
4,741 | chenhangjun/Spam_SMS_Classify | refs/heads/master | /NaiveBayes.py | import math
import json
# 参考：https://www.cnblogs.com/liweiwei1419/p/9870956.html
class NaiveBayes:
def __init__(self):
self.ham_count = 0 # 非垃圾短信数量
self.spam_count = 0 # 垃圾短信数量
self.ham_words_count = 0 # 非垃圾短信总次数
self.spam_words_count = 0 # 垃圾短信总词数
self.ham_words = list() # 非垃圾... | {"/NBTest.py": ["/NaiveBayes.py"], "/UIMain.py": ["/Login.py"], "/Login.py": ["/MainPage.py", "/SignUp.py"]} |
4,743 | gboquizo/hackathon_optimizacion_entregas_material | refs/heads/master | /app/modules/donor.py | """Routes for donor."""
from app import csrf
from app.models import Donor, Product, StockDonor
from flask import Blueprint, request
from flask_login import login_required
from flask import jsonify
# Blueprint Configuration
donor_bp = Blueprint('donor', __name__)
@donor_bp.route('/api/v1/donor', methods=['GET'])
def g... | {"/app/modules/donor.py": ["/app/__init__.py", "/app/models.py"], "/app/schemas.py": ["/app/__init__.py", "/app/models.py"], "/app/__init__.py": ["/app/modules/auth.py", "/app/modules/admin.py", "/app/modules/dealer.py", "/app/modules/donor.py"], "/app/models.py": ["/app/__init__.py"], "/app/modules/admin.py": ["/app/m... |
4,744 | gboquizo/hackathon_optimizacion_entregas_material | refs/heads/master | /app/config.py | # app/config.py
import os
basedir = os.path.abspath(os.path.dirname(__file__))
class BaseConfig(object):
"""Base configuration."""
APP_NAME = os.getenv('APP_NAME', 'Delia')
BCRYPT_LOG_ROUNDS = 4
DEBUG_TB_ENABLED = False
SECRET_KEY = os.getenv('SECRET_KEY', 'secret_key')
SQLALCHEMY_TRACK_MODI... | {"/app/modules/donor.py": ["/app/__init__.py", "/app/models.py"], "/app/schemas.py": ["/app/__init__.py", "/app/models.py"], "/app/__init__.py": ["/app/modules/auth.py", "/app/modules/admin.py", "/app/modules/dealer.py", "/app/modules/donor.py"], "/app/models.py": ["/app/__init__.py"], "/app/modules/admin.py": ["/app/m... |
4,745 | gboquizo/hackathon_optimizacion_entregas_material | refs/heads/master | /app/schemas.py | """
Map a database model to json data
Schemas are equivalent to Django serializers.
"""
from app import ma
from .models import *
class DonorSchema(ma.Schema):
class Meta:
model = Donor
sqla_session = db.session
fields = ('user', 'address', 'updated_at')
class AddressSchema(ma.Schema):
... | {"/app/modules/donor.py": ["/app/__init__.py", "/app/models.py"], "/app/schemas.py": ["/app/__init__.py", "/app/models.py"], "/app/__init__.py": ["/app/modules/auth.py", "/app/modules/admin.py", "/app/modules/dealer.py", "/app/modules/donor.py"], "/app/models.py": ["/app/__init__.py"], "/app/modules/admin.py": ["/app/m... |
4,746 | gboquizo/hackathon_optimizacion_entregas_material | refs/heads/master | /app/__init__.py | # app/__init__.py
import os
from flask import Flask, render_template
from flask_debugtoolbar import DebugToolbarExtension
from flask_login import LoginManager
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_wtf import CSRFProtect
from flask_marshmallow import Marshmallow
# Instan... | {"/app/modules/donor.py": ["/app/__init__.py", "/app/models.py"], "/app/schemas.py": ["/app/__init__.py", "/app/models.py"], "/app/__init__.py": ["/app/modules/auth.py", "/app/modules/admin.py", "/app/modules/dealer.py", "/app/modules/donor.py"], "/app/models.py": ["/app/__init__.py"], "/app/modules/admin.py": ["/app/m... |
4,747 | gboquizo/hackathon_optimizacion_entregas_material | refs/heads/master | /app/routes.py | import os
from flask import render_template
@app.route('/')
@app.route('/index')
def index():
print(os.getenv('APP_LOCALE'))
user = {'username': 'Germán'}
files = [
{
'properties': {'hash': '1234123412341234'},
'name': 'try.txt'
},
{
'properties'... | {"/app/modules/donor.py": ["/app/__init__.py", "/app/models.py"], "/app/schemas.py": ["/app/__init__.py", "/app/models.py"], "/app/__init__.py": ["/app/modules/auth.py", "/app/modules/admin.py", "/app/modules/dealer.py", "/app/modules/donor.py"], "/app/models.py": ["/app/__init__.py"], "/app/modules/admin.py": ["/app/m... |
4,748 | gboquizo/hackathon_optimizacion_entregas_material | refs/heads/master | /app/models.py | # app/models.py
import os
import datetime
import hashlib
import humanfriendly
from werkzeug import generate_password_hash, check_password_hash
from flask_login import UserMixin
from app import db
from sqlalchemy import CheckConstraint
class User(UserMixin, db.Model):
__tablename__ = 'users'
id = db.Column(d... | {"/app/modules/donor.py": ["/app/__init__.py", "/app/models.py"], "/app/schemas.py": ["/app/__init__.py", "/app/models.py"], "/app/__init__.py": ["/app/modules/auth.py", "/app/modules/admin.py", "/app/modules/dealer.py", "/app/modules/donor.py"], "/app/models.py": ["/app/__init__.py"], "/app/modules/admin.py": ["/app/m... |
4,749 | gboquizo/hackathon_optimizacion_entregas_material | refs/heads/master | /app/modules/admin.py | # Blueprint Configuration
from flask import Blueprint, render_template
from flask_login import current_user
from werkzeug.exceptions import abort
from app.models import User
admin_bp = Blueprint('admin', __name__)
@admin_bp.route('/admin-panel')
def index():
if not current_user.is_admin():
abort(403)
... | {"/app/modules/donor.py": ["/app/__init__.py", "/app/models.py"], "/app/schemas.py": ["/app/__init__.py", "/app/models.py"], "/app/__init__.py": ["/app/modules/auth.py", "/app/modules/admin.py", "/app/modules/dealer.py", "/app/modules/donor.py"], "/app/models.py": ["/app/__init__.py"], "/app/modules/admin.py": ["/app/m... |
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