index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
344 | ewheeler/nomenklatura | refs/heads/master | /setup.py | from setuptools import setup, find_packages
setup(
name='nomenklatura',
version='0.1',
description="Make record linkages on the web.",
long_description='',
classifiers=[
],
keywords='data mapping identity linkage record',
author='Open Knowledge Foundation',
author_email='info@ok... | {"/nomenklatura/core.py": ["/nomenklatura/__init__.py"], "/nomenklatura/views/sessions.py": ["/nomenklatura/__init__.py", "/nomenklatura/core.py", "/nomenklatura/model/__init__.py"], "/nomenklatura/assets.py": ["/nomenklatura/core.py"], "/nomenklatura/manage.py": ["/nomenklatura/core.py", "/nomenklatura/model/__init__.... |
345 | ewheeler/nomenklatura | refs/heads/master | /nomenklatura/model/__init__.py |
from nomenklatura.model.dataset import Dataset
from nomenklatura.model.entity import Entity
from nomenklatura.model.account import Account
from nomenklatura.model.upload import Upload
| {"/nomenklatura/core.py": ["/nomenklatura/__init__.py"], "/nomenklatura/views/sessions.py": ["/nomenklatura/__init__.py", "/nomenklatura/core.py", "/nomenklatura/model/__init__.py"], "/nomenklatura/assets.py": ["/nomenklatura/core.py"], "/nomenklatura/manage.py": ["/nomenklatura/core.py", "/nomenklatura/model/__init__.... |
346 | ewheeler/nomenklatura | refs/heads/master | /nomenklatura/core.py | import logging
from logging.handlers import RotatingFileHandler
from flask import Flask
from flask import url_for as _url_for
from flask.ext.sqlalchemy import SQLAlchemy
from flask.ext.oauth import OAuth
from flask.ext.assets import Environment
import certifi
from kombu import Exchange, Queue
from celery import Celer... | {"/nomenklatura/core.py": ["/nomenklatura/__init__.py"], "/nomenklatura/views/sessions.py": ["/nomenklatura/__init__.py", "/nomenklatura/core.py", "/nomenklatura/model/__init__.py"], "/nomenklatura/assets.py": ["/nomenklatura/core.py"], "/nomenklatura/manage.py": ["/nomenklatura/core.py", "/nomenklatura/model/__init__.... |
347 | ewheeler/nomenklatura | refs/heads/master | /contrib/heroku_settings.py | import os
def bool_env(val):
"""Replaces string based environment values with Python booleans"""
return True if os.environ.get(val, 'False').lower() == 'true' else False
#DEBUG = True
SECRET_KEY = os.environ.get('SECRET_KEY')
SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL',
... | {"/nomenklatura/core.py": ["/nomenklatura/__init__.py"], "/nomenklatura/views/sessions.py": ["/nomenklatura/__init__.py", "/nomenklatura/core.py", "/nomenklatura/model/__init__.py"], "/nomenklatura/assets.py": ["/nomenklatura/core.py"], "/nomenklatura/manage.py": ["/nomenklatura/core.py", "/nomenklatura/model/__init__.... |
348 | ewheeler/nomenklatura | refs/heads/master | /nomenklatura/default_settings.py | DEBUG = False
APP_NAME = 'nomenklatura'
CELERY_BROKER_URL = 'amqp://guest:guest@localhost:5672//'
ALLOWED_EXTENSIONS = set(['csv', 'tsv', 'ods', 'xls', 'xlsx', 'txt'])
SIGNUP_DISABLED = False
| {"/nomenklatura/core.py": ["/nomenklatura/__init__.py"], "/nomenklatura/views/sessions.py": ["/nomenklatura/__init__.py", "/nomenklatura/core.py", "/nomenklatura/model/__init__.py"], "/nomenklatura/assets.py": ["/nomenklatura/core.py"], "/nomenklatura/manage.py": ["/nomenklatura/core.py", "/nomenklatura/model/__init__.... |
349 | ewheeler/nomenklatura | refs/heads/master | /nomenklatura/views/sessions.py | import logging
import requests
from flask import url_for, session, Blueprint, redirect
from flask import request
from apikit import jsonify
from werkzeug.exceptions import Forbidden
from nomenklatura import authz
from nomenklatura.core import app, db, github
from nomenklatura.model import Account, Dataset
section = ... | {"/nomenklatura/core.py": ["/nomenklatura/__init__.py"], "/nomenklatura/views/sessions.py": ["/nomenklatura/__init__.py", "/nomenklatura/core.py", "/nomenklatura/model/__init__.py"], "/nomenklatura/assets.py": ["/nomenklatura/core.py"], "/nomenklatura/manage.py": ["/nomenklatura/core.py", "/nomenklatura/model/__init__.... |
350 | ewheeler/nomenklatura | refs/heads/master | /nomenklatura/assets.py | from flask.ext.assets import Bundle
from nomenklatura.core import assets
deps_assets = Bundle(
'vendor/jquery/dist/jquery.js',
'vendor/bootstrap/js/collapse.js',
'vendor/angular/angular.js',
'vendor/angular-route/angular-route.js',
'vendor/angular-bootstrap/ui-bootstrap-tpls.js',
'vendor/ngUpl... | {"/nomenklatura/core.py": ["/nomenklatura/__init__.py"], "/nomenklatura/views/sessions.py": ["/nomenklatura/__init__.py", "/nomenklatura/core.py", "/nomenklatura/model/__init__.py"], "/nomenklatura/assets.py": ["/nomenklatura/core.py"], "/nomenklatura/manage.py": ["/nomenklatura/core.py", "/nomenklatura/model/__init__.... |
351 | ewheeler/nomenklatura | refs/heads/master | /nomenklatura/__init__.py | # shut up useless SA warning:
import warnings
warnings.filterwarnings('ignore', 'Unicode type received non-unicode bind param value.')
| {"/nomenklatura/core.py": ["/nomenklatura/__init__.py"], "/nomenklatura/views/sessions.py": ["/nomenklatura/__init__.py", "/nomenklatura/core.py", "/nomenklatura/model/__init__.py"], "/nomenklatura/assets.py": ["/nomenklatura/core.py"], "/nomenklatura/manage.py": ["/nomenklatura/core.py", "/nomenklatura/model/__init__.... |
352 | ewheeler/nomenklatura | refs/heads/master | /nomenklatura/manage.py | from normality import normalize
from flask.ext.script import Manager
from flask.ext.assets import ManageAssets
from nomenklatura.core import db
from nomenklatura.model import Entity
from nomenklatura.views import app
from nomenklatura.assets import assets
manager = Manager(app)
manager.add_command('assets', ManageAss... | {"/nomenklatura/core.py": ["/nomenklatura/__init__.py"], "/nomenklatura/views/sessions.py": ["/nomenklatura/__init__.py", "/nomenklatura/core.py", "/nomenklatura/model/__init__.py"], "/nomenklatura/assets.py": ["/nomenklatura/core.py"], "/nomenklatura/manage.py": ["/nomenklatura/core.py", "/nomenklatura/model/__init__.... |
353 | devikadayanand16/todo | refs/heads/main | /todolist/forms.py | from django import forms
class TodoListForm(forms.Form):
text = forms.CharField(max_length=50,
widget=forms.TextInput(
attrs={'class':'form-control','placeholder':'Enter todo e.g. Grocery Shopping', 'aria-label':'Todo', 'aria-describeby':'add-btn'})) | {"/todolist/views.py": ["/todolist/models.py", "/todolist/forms.py"]} |
354 | devikadayanand16/todo | refs/heads/main | /todolist/models.py | from django.db import models
class Todolist(models.Model):
text=models.CharField(max_length=50)
completed=models.BooleanField(default=False)
def __str__(self):
return self.text | {"/todolist/views.py": ["/todolist/models.py", "/todolist/forms.py"]} |
355 | devikadayanand16/todo | refs/heads/main | /todolist/views.py | from django.shortcuts import render, redirect
from .models import Todolist
from .forms import TodoListForm
from django.views.decorators.http import require_POST
def index(request):
todo_items=Todolist.objects.order_by('id')
form = TodoListForm()
context = {'todo_items' : todo_items, 'form' : form }
return render(r... | {"/todolist/views.py": ["/todolist/models.py", "/todolist/forms.py"]} |
357 | FUZIK/secret_punto | refs/heads/master | /main.py | import tg_manager_bot.bot as manager_bot
if __name__ == '__main__':
manager_bot.main()
| {"/core/database_adapter.py": ["/config.py"]} |
358 | FUZIK/secret_punto | refs/heads/master | /config.py | DATABASE_HOST = "ec2-54-247-169-129.eu-west-1.compute.amazonaws.com"
DATABASE_PORT = 5432
DATABASE_NAME = "dbm6aqb8gc2vd3"
DATABASE_USER = "lwejloxflohbkt"
DATABASE_PASSWORD = "963dca4e85ea295a09653fad768c530c2035732fd07800146d04b9ebc28186ca"
# PuntoManagerBot
MANAGER_TG_BOT_TOKEN = "1161956935:AAEelrfE2ksdxAjdanj-Uq1... | {"/core/database_adapter.py": ["/config.py"]} |
359 | FUZIK/secret_punto | refs/heads/master | /core/database_adapter.py | import config
from peewee import PostgresqlDatabase, Model, AutoField, IntegerField, TextField, ForeignKeyField, TimestampField
from playhouse.postgres_ext import ArrayField, BlobField
_connection = PostgresqlDatabase(config.DATABASE_NAME,
host=config.DATABASE_HOST,
... | {"/core/database_adapter.py": ["/config.py"]} |
375 | xergio/redtorrent | refs/heads/master | /tracker/views.py | # -*- coding: utf-8 -*-
import django
from django.shortcuts import render_to_response
from django.http import HttpResponse
from tracker.models import AnnounceForm, ScrapeForm, Store
import sys
import socket
import bencode
import struct
import time
import redis
"""
http://bittorrent.org/beps/bep_0003.html
http://wiki... | {"/tracker/views.py": ["/tracker/models.py"]} |
376 | xergio/redtorrent | refs/heads/master | /tracker/models.py | # -*- coding: utf-8 -*-
from django import forms
import redis
import time
class AnnounceForm(forms.Form):
info_hash = forms.CharField(max_length=100)
peer_id = forms.CharField(max_length=100)
port = forms.IntegerField()
uploaded = forms.IntegerField()
downloaded = forms.IntegerField()
left = forms.IntegerField(... | {"/tracker/views.py": ["/tracker/models.py"]} |
377 | xergio/redtorrent | refs/heads/master | /redtorrent/urls.py | from django.conf.urls import patterns, url
urlpatterns = patterns('',
url(r'^$', 'tracker.views.announce', name='announce'),
url(r'^announce', 'tracker.views.announce', name='announce'),
url(r'^scrape$', 'tracker.views.scrape', name='scrape'),
)
| {"/tracker/views.py": ["/tracker/models.py"]} |
380 | katrii/ohsiha | refs/heads/master | /ohjelma/apps.py | from django.apps import AppConfig
class OhjelmaConfig(AppConfig):
name = 'ohjelma'
| {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
381 | katrii/ohsiha | refs/heads/master | /ohjelma/migrations/0003_song_release_year.py | # Generated by Django 3.0.2 on 2020-03-15 16:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ohjelma', '0002_song'),
]
operations = [
migrations.AddField(
model_name='song',
name='release_year',
fi... | {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
382 | katrii/ohsiha | refs/heads/master | /ohjelma/urls.py | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name = 'home'),
path('songs/', views.SongList.as_view(), name = 'song_list'),
path('view/<int:pk>', views.SongView.as_view(), name = 'song_view'),
path('new', views.SongCreate.as_view(), name = 'song_new'),
path... | {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
383 | katrii/ohsiha | refs/heads/master | /ohjelma/migrations/0002_song.py | # Generated by Django 3.0.2 on 2020-03-13 17:36
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ohjelma', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Song',
fields=[
('id', mod... | {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
384 | katrii/ohsiha | refs/heads/master | /ohjelma/migrations/0005_auto_20200329_1313.py | # Generated by Django 3.0.2 on 2020-03-29 10:13
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ohjelma', '0004_track'),
]
operations = [
migrations.AlterField(
model_name='track',
name='track_duration',
... | {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
385 | katrii/ohsiha | refs/heads/master | /ohjelma/migrations/0007_track_track_id.py | # Generated by Django 3.0.2 on 2020-04-11 18:42
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ohjelma', '0006_auto_20200329_1329'),
]
operations = [
migrations.AddField(
model_name='track',
name='track_id',
... | {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
386 | katrii/ohsiha | refs/heads/master | /ohjelma/views.py | from django.shortcuts import render
from django.http import HttpResponse
from django.views.generic import ListView, DetailView
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from django.urls import reverse_lazy
from ohjelma.models import Song
from ohjelma.models import Track
import json
impo... | {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
387 | katrii/ohsiha | refs/heads/master | /ohjelma/models.py | from django.db import models
from django.urls import reverse
class Question(models.Model):
question_text = models.CharField(max_length=200)
pub_date = models.DateTimeField('Date published')
class Choice(models.Model):
question = models.ForeignKey(Question, on_delete=models.CASCADE)
choice_text = mode... | {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
388 | katrii/ohsiha | refs/heads/master | /ohjelma/migrations/0006_auto_20200329_1329.py | # Generated by Django 3.0.2 on 2020-03-29 10:29
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ohjelma', '0005_auto_20200329_1313'),
]
operations = [
migrations.AlterField(
model_name='track',
name='track_durati... | {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
389 | katrii/ohsiha | refs/heads/master | /ohjelma/migrations/0009_auto_20200411_2211.py | # Generated by Django 3.0.2 on 2020-04-11 19:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ohjelma', '0008_track_track_danceability'),
]
operations = [
migrations.AddField(
model_name='track',
name='track_ac... | {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
390 | katrii/ohsiha | refs/heads/master | /ohjelma/migrations/0004_track.py | # Generated by Django 3.0.2 on 2020-03-28 23:19
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ohjelma', '0003_song_release_year'),
]
operations = [
migrations.CreateModel(
name='Track',
fields=[
... | {"/ohjelma/views.py": ["/ohjelma/models.py"]} |
394 | Bthelisma/repTravelbuddy | refs/heads/master | /apps/travel_app/migrations/0003_trip.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-12-27 10:38
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('travel_app', '0002_auto_20171227_0048'),
]
operation... | {"/apps/travel_app/views.py": ["/apps/travel_app/models.py"]} |
395 | Bthelisma/repTravelbuddy | refs/heads/master | /apps/travel_app/migrations/0004_auto_20171227_0320.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-12-27 11:20
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('travel_app', '0003_trip'),
]
operations = [
migrations.RenameField(
model... | {"/apps/travel_app/views.py": ["/apps/travel_app/models.py"]} |
396 | Bthelisma/repTravelbuddy | refs/heads/master | /apps/travel_app/models.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import re
import bcrypt
import datetime
from django.db import models
class UserManager(models.Manager):
def register_validate(self, postData):
errors = []
name = postData['name']
username = postData['username']
passwo... | {"/apps/travel_app/views.py": ["/apps/travel_app/models.py"]} |
397 | Bthelisma/repTravelbuddy | refs/heads/master | /apps/travel_app/views.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render, redirect
from .models import User
from .models import Trip
from django.contrib import messages
#==================================================#
# RENDER METHODS #
#===============... | {"/apps/travel_app/views.py": ["/apps/travel_app/models.py"]} |
398 | Bthelisma/repTravelbuddy | refs/heads/master | /apps/travel_app/migrations/0005_auto_20171227_1455.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-12-27 22:55
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('travel_app', '0004_auto_20171227_0320'),
]
operations = [
migrations.AlterFie... | {"/apps/travel_app/views.py": ["/apps/travel_app/models.py"]} |
399 | EStepzz/LogData | refs/heads/master | /tools/GenPic.py | #coding = utf-8
#author:QINWANG
'''
使用pyecharts 创建不同的图形图像
目前有：xxxx等图像
'''
from pyecharts import Line
from tools.ConnectDB import DbSomething
a = DbSomething('localhost','dns_query', 'postgres', 111111)
v1,v2 = a.search()
print (v1,v2)
class GenPic:
'''生成折线图'''
def lineChart(self):
line= Line("QPS图")... | {"/tools/GenPic.py": ["/tools/ConnectDB.py"]} |
400 | EStepzz/LogData | refs/heads/master | /tools/ConnectDB.py | #coding=utf-8
import psycopg2
import datetime
import time
class DbSomething():
def __init__(self,ip,database,username, password,port=5432):
self.ip = ip
self.database = database
self.username = username
self.password = password
self.port = port
'''如果把connection写到__init__... | {"/tools/GenPic.py": ["/tools/ConnectDB.py"]} |
402 | SSRomanSS/flask_blog | refs/heads/master | /manage.py | from blog import app, db, manager
from blog.models import *
if __name__ == '__main__':
manager.run()
| {"/manage.py": ["/blog/__init__.py"], "/run.py": ["/blog/__init__.py"], "/blog/routes.py": ["/blog/__init__.py"]} |
403 | SSRomanSS/flask_blog | refs/heads/master | /blog/__init__.py | from flask import Flask, request
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate, MigrateCommand
from flask_script import Manager
from flask_login import LoginManager
from flask_bootstrap import Bootstrap
from flask_moment import Moment
from flask_babel import Babel, lazy_gettext as _l
from fl... | {"/manage.py": ["/blog/__init__.py"], "/run.py": ["/blog/__init__.py"], "/blog/routes.py": ["/blog/__init__.py"]} |
404 | SSRomanSS/flask_blog | refs/heads/master | /migrations/versions/89b140c56c4d_fix_create_followers_relationship.py | """fix create followers relationship
Revision ID: 89b140c56c4d
Revises: 7d84ff36825f
Create Date: 2021-03-30 14:57:47.528704
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '89b140c56c4d'
down_revision = '7d84ff36825f'
branch_labels = None
depends_on = None
d... | {"/manage.py": ["/blog/__init__.py"], "/run.py": ["/blog/__init__.py"], "/blog/routes.py": ["/blog/__init__.py"]} |
405 | SSRomanSS/flask_blog | refs/heads/master | /run.py | from blog import app, db
from blog import routes, models, errors, set_logger
@app.shell_context_processor
def make_shell_context():
return {
'db': db,
'User': models.User,
'Post': models.Post
}
if __name__ == '__main__':
app.run(debug=True)
| {"/manage.py": ["/blog/__init__.py"], "/run.py": ["/blog/__init__.py"], "/blog/routes.py": ["/blog/__init__.py"]} |
406 | SSRomanSS/flask_blog | refs/heads/master | /migrations/versions/5e12ea69ab10_add_two_new_column_to_user.py | """Add two new column to User
Revision ID: 5e12ea69ab10
Revises: a89dbfef15cc
Create Date: 2021-03-29 20:46:23.445651
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '5e12ea69ab10'
down_revision = 'a89dbfef15cc'
branch_labels = None
depends_on = None
def upgr... | {"/manage.py": ["/blog/__init__.py"], "/run.py": ["/blog/__init__.py"], "/blog/routes.py": ["/blog/__init__.py"]} |
407 | SSRomanSS/flask_blog | refs/heads/master | /blog/routes.py | from datetime import datetime
from flask import render_template, flash, redirect, url_for, request
from flask_login import current_user, login_user, logout_user, login_required
from flask_babel import _
from werkzeug.urls import url_parse
from blog import app, db
from blog.forms import LoginForm, RegisterForm, EditPr... | {"/manage.py": ["/blog/__init__.py"], "/run.py": ["/blog/__init__.py"], "/blog/routes.py": ["/blog/__init__.py"]} |
411 | xiaohan2012/random_steiner_tree | refs/heads/master | /test_loop_erased_weighted.py | import pytest
import numpy as np
from graph_tool import Graph
from random_steiner_tree import random_steiner_tree
from random_steiner_tree.util import from_gt
from collections import Counter
EPSILON = 1e-10
def graph():
"""
0 (root)
/ \
1 2
\ /
3 (X)
"""
g = Graph()
... | {"/test_loop_erased_weighted.py": ["/random_steiner_tree/__init__.py"], "/distribution.py": ["/random_steiner_tree/__init__.py"], "/test.py": ["/random_steiner_tree/__init__.py"]} |
412 | xiaohan2012/random_steiner_tree | refs/heads/master | /random_steiner_tree/__init__.py | import random
from .interface import loop_erased, cut_based
def random_steiner_tree(gi, X, root, method="loop_erased", seed=None, verbose=False):
assert method in {"loop_erased", "closure", "cut"}
# C++ is strict with type...
X = list(map(int, X))
root = int(root)
if seed is None:
seed = ... | {"/test_loop_erased_weighted.py": ["/random_steiner_tree/__init__.py"], "/distribution.py": ["/random_steiner_tree/__init__.py"], "/test.py": ["/random_steiner_tree/__init__.py"]} |
413 | xiaohan2012/random_steiner_tree | refs/heads/master | /distribution.py | # coding: utf-8
import networkx as nx
import numpy as np
import random
import pandas as pd
from scipy.spatial.distance import cosine
from tqdm import tqdm
from collections import Counter
from random_steiner_tree import random_steiner_tree
from random_steiner_tree.util import from_nx
from joblib import Parallel, delaye... | {"/test_loop_erased_weighted.py": ["/random_steiner_tree/__init__.py"], "/distribution.py": ["/random_steiner_tree/__init__.py"], "/test.py": ["/random_steiner_tree/__init__.py"]} |
414 | xiaohan2012/random_steiner_tree | refs/heads/master | /setup.py | # from distutils.core import setup, Extension
import os
from setuptools import setup, Extension
os.environ["CC"] = "g++"
os.environ["CXX"] = "g++"
core_module = Extension(
'random_steiner_tree/interface',
include_dirs=['/usr/include/python3.5/'],
libraries=['boost_python-py35', 'boost_graph'],
library... | {"/test_loop_erased_weighted.py": ["/random_steiner_tree/__init__.py"], "/distribution.py": ["/random_steiner_tree/__init__.py"], "/test.py": ["/random_steiner_tree/__init__.py"]} |
415 | xiaohan2012/random_steiner_tree | refs/heads/master | /test.py | import pytest
import random
import numpy as np
import networkx as nx
from graph_tool import Graph
from random_steiner_tree import random_steiner_tree
from random_steiner_tree.util import (from_nx, from_gt,
num_vertices,
isolate_vertex,
... | {"/test_loop_erased_weighted.py": ["/random_steiner_tree/__init__.py"], "/distribution.py": ["/random_steiner_tree/__init__.py"], "/test.py": ["/random_steiner_tree/__init__.py"]} |
440 | hjtree0825/stroke_network_ctmc_simulations | refs/heads/main | /stroke_expanded_add_capacity.py | from stroke_functions import *
# Initialize
T = 10000
repl_num = 100
service_rate_h = 1./7
service_rate_i = 1./3
Mean1_psc_cap = []
STD1_psc_cap = []
Mean2_psc_cap = []
STD2_psc_cap = []
Mean3_psc_cap = []
STD3_psc_cap = []
Mean4_psc_cap = []
STD4_psc_cap = []
Mean5_psc_cap = []
STD5_psc_cap = []
... | {"/stroke_expanded_add_capacity.py": ["/stroke_functions.py"], "/stroke_functions.py": ["/stroke_source.py"], "/stroke_overall_comparison.py": ["/stroke_functions.py"], "/stroke_expanded.py": ["/stroke_functions.py"], "/stroke_main.py": ["/stroke_functions.py", "/stroke_base.py", "/stroke_base_add_capacity.py", "/strok... |
441 | hjtree0825/stroke_network_ctmc_simulations | refs/heads/main | /stroke_functions.py | from stroke_source import *
g = r.Random(1234)
def next_arrival(arrival_rate):
U = g.uniform(0,1)
arrival_time = -1./arrival_rate * m.log(U)
return arrival_time
def next_service(service_rate):
U = g.uniform(0,1)
service_time = -1./service_rate * m.log(U)
return service_time
... | {"/stroke_expanded_add_capacity.py": ["/stroke_functions.py"], "/stroke_functions.py": ["/stroke_source.py"], "/stroke_overall_comparison.py": ["/stroke_functions.py"], "/stroke_expanded.py": ["/stroke_functions.py"], "/stroke_main.py": ["/stroke_functions.py", "/stroke_base.py", "/stroke_base_add_capacity.py", "/strok... |
442 | hjtree0825/stroke_network_ctmc_simulations | refs/heads/main | /stroke_overall_comparison.py | from stroke_functions import *
repl_num = 100
# Base case
open_file = open("base_mean.pkl", "rb")
loaded_list = pickle.load(open_file)
open_file.close()
Mean1 = loaded_list[0]
Mean2 = loaded_list[1]
Mean3 = loaded_list[2]
open_file = open("base_std.pkl", "rb")
loaded_list = pickle.load(open_file)
open_... | {"/stroke_expanded_add_capacity.py": ["/stroke_functions.py"], "/stroke_functions.py": ["/stroke_source.py"], "/stroke_overall_comparison.py": ["/stroke_functions.py"], "/stroke_expanded.py": ["/stroke_functions.py"], "/stroke_main.py": ["/stroke_functions.py", "/stroke_base.py", "/stroke_base_add_capacity.py", "/strok... |
443 | hjtree0825/stroke_network_ctmc_simulations | refs/heads/main | /stroke_expanded.py | from stroke_functions import *
# Initialize
T = 10000
repl_num = 10
service_rate_h = 1./7
service_rate_i = 1./3
Mean1_psc = []
STD1_psc = []
Mean2_psc = []
STD2_psc = []
Mean3_psc = []
STD3_psc = []
Mean4_psc = []
STD4_psc = []
Mean5_psc = []
STD5_psc = []
Mean6_psc = []
STD6_psc = []
cc0 = 15... | {"/stroke_expanded_add_capacity.py": ["/stroke_functions.py"], "/stroke_functions.py": ["/stroke_source.py"], "/stroke_overall_comparison.py": ["/stroke_functions.py"], "/stroke_expanded.py": ["/stroke_functions.py"], "/stroke_main.py": ["/stroke_functions.py", "/stroke_base.py", "/stroke_base_add_capacity.py", "/strok... |
444 | hjtree0825/stroke_network_ctmc_simulations | refs/heads/main | /stroke_main.py | from stroke_functions import *
import stroke_base
import stroke_base_add_capacity
import stroke_expanded
import stroke_expanded_reduced_rate
import stroke_expanded_add_capacity
import stroke_overall_comparison
| {"/stroke_expanded_add_capacity.py": ["/stroke_functions.py"], "/stroke_functions.py": ["/stroke_source.py"], "/stroke_overall_comparison.py": ["/stroke_functions.py"], "/stroke_expanded.py": ["/stroke_functions.py"], "/stroke_main.py": ["/stroke_functions.py", "/stroke_base.py", "/stroke_base_add_capacity.py", "/strok... |
445 | hjtree0825/stroke_network_ctmc_simulations | refs/heads/main | /stroke_source.py | import numpy as np
import random as r
import math as m
import matplotlib.pyplot as plt
import pickle | {"/stroke_expanded_add_capacity.py": ["/stroke_functions.py"], "/stroke_functions.py": ["/stroke_source.py"], "/stroke_overall_comparison.py": ["/stroke_functions.py"], "/stroke_expanded.py": ["/stroke_functions.py"], "/stroke_main.py": ["/stroke_functions.py", "/stroke_base.py", "/stroke_base_add_capacity.py", "/strok... |
446 | hjtree0825/stroke_network_ctmc_simulations | refs/heads/main | /stroke_base_add_capacity.py | from stroke_functions import *
# Initialize
T = 10000
repl_num = 100
service_rate_h = 1./7
service_rate_i = 1./3
Mean1_cap = []
STD1_cap = []
Mean2_cap = []
STD2_cap = []
Mean3_cap = []
STD3_cap = []
Mean4_cap = []
STD4_cap = []
Mean5_cap = []
STD5_cap = []
Mean6_cap = []
STD6_cap = []
cc0 = 1... | {"/stroke_expanded_add_capacity.py": ["/stroke_functions.py"], "/stroke_functions.py": ["/stroke_source.py"], "/stroke_overall_comparison.py": ["/stroke_functions.py"], "/stroke_expanded.py": ["/stroke_functions.py"], "/stroke_main.py": ["/stroke_functions.py", "/stroke_base.py", "/stroke_base_add_capacity.py", "/strok... |
447 | hjtree0825/stroke_network_ctmc_simulations | refs/heads/main | /stroke_expanded_reduced_rate.py | from stroke_functions import *
# Initialize
T = 10000
repl_num = 100
service_rate_h = 1./7
service_rate_i = 1./3
Mean1_psc_red = []
STD1_psc_red = []
Mean2_psc_red = []
STD2_psc_red = []
Mean3_psc_red = []
STD3_psc_red = []
Mean4_psc_red = []
STD4_psc_red = []
Mean5_psc_red = []
STD5_psc_red = []
... | {"/stroke_expanded_add_capacity.py": ["/stroke_functions.py"], "/stroke_functions.py": ["/stroke_source.py"], "/stroke_overall_comparison.py": ["/stroke_functions.py"], "/stroke_expanded.py": ["/stroke_functions.py"], "/stroke_main.py": ["/stroke_functions.py", "/stroke_base.py", "/stroke_base_add_capacity.py", "/strok... |
448 | hjtree0825/stroke_network_ctmc_simulations | refs/heads/main | /stroke_base.py | from stroke_functions import *
# Initialize
T = 10000
repl_num = 100
service_rate_h = 1./7
service_rate_i = 1./3
Mean1 = []
STD1 = []
Mean2 = []
STD2 = []
Mean3 = []
STD3 = []
Mean4 = []
STD4 = []
Mean5 = []
STD5 = []
Mean6 = []
STD6 = []
MeanBed1 = []
MeanBed2 = []
MeanBed3 = []
MeanBed4 =... | {"/stroke_expanded_add_capacity.py": ["/stroke_functions.py"], "/stroke_functions.py": ["/stroke_source.py"], "/stroke_overall_comparison.py": ["/stroke_functions.py"], "/stroke_expanded.py": ["/stroke_functions.py"], "/stroke_main.py": ["/stroke_functions.py", "/stroke_base.py", "/stroke_base_add_capacity.py", "/strok... |
449 | hjtree0825/stroke_network_ctmc_simulations | refs/heads/main | /stroke_customization.py | from stroke_functions import *
############################################################################
############################################################################
############################################################################
# Simply change the numbers in this section.
# ... | {"/stroke_expanded_add_capacity.py": ["/stroke_functions.py"], "/stroke_functions.py": ["/stroke_source.py"], "/stroke_overall_comparison.py": ["/stroke_functions.py"], "/stroke_expanded.py": ["/stroke_functions.py"], "/stroke_main.py": ["/stroke_functions.py", "/stroke_base.py", "/stroke_base_add_capacity.py", "/strok... |
452 | jlstack/Online-Marketplace | refs/heads/master | /application/models.py | from application import db
class Product(db.Model):
id = db.Column('id', db.Integer, primary_key=True)
name = db.Column('name', db.String(128), nullable=False)
description = db.Column('description', db.TEXT, nullable=False)
image_path = db.Column('image_path', db.String(128), nullable=True)
quantit... | {"/application/models.py": ["/application.py"]} |
453 | jlstack/Online-Marketplace | refs/heads/master | /application.py | from flask import Flask, Response, session, flash, request, redirect, render_template, g
import sys
import os
import base64
from flask_login import LoginManager, UserMixin, current_user, login_required, login_user, logout_user
import hashlib
from flask_openid import OpenID
errors = []
try:
from application import... | {"/application/models.py": ["/application.py"]} |
454 | jlstack/Online-Marketplace | refs/heads/master | /application/__init__.py | from flask import Flask
from flask.ext.sqlalchemy import SQLAlchemy
import os
def get_config():
config = {}
if 'RDS_HOSTNAME' in os.environ:
env = {
'NAME': os.environ['RDS_DB_NAME'],
'USER': os.environ['RDS_USERNAME'],
'PASSWORD': os.environ['RDS_PASSWORD'],
'HOST': os.environ['RDS... | {"/application/models.py": ["/application.py"]} |
459 | kaustavbhattacharjee/labeling | refs/heads/main | /main.py | # This is a sample Python script.
# Press ⌃R to execute it or replace it with your code.
# Press Double ⇧ to search everywhere for classes, files, tool windows, actions, and settings.
from utils import Tweet
def print_hi(name):
# Use a breakpoint in the code line below to debug your script.
print(f'Hi, {name}... | {"/main.py": ["/utils.py"]} |
460 | kaustavbhattacharjee/labeling | refs/heads/main | /utils.py | import pandas as pd
import csv
import os
from pandas import ExcelWriter
class Tweet:
def import_data(self, PATH, type):
if type == "xlsx":
xl = pd.ExcelFile(PATH)
data = xl.parse("Sheet1")
if type == "csv":
data = pd.read_csv(PATH)
# if type == "csv":
... | {"/main.py": ["/utils.py"]} |
481 | sciaso/greenpass-covid19-qrcode-decoder | refs/heads/master | /lib/greenpass.py | from pyzbar.pyzbar import decode
from PIL import Image
from base45 import b45decode
from zlib import decompress
from flynn import decoder as flynn_decoder
from lib.datamapper import DataMapper as data_mapper
class GreenPassDecoder(object):
stream_data = None
def __init__(self, stream_data):
self.stre... | {"/lib/greenpass.py": ["/lib/datamapper.py"], "/app.py": ["/lib/greenpass.py"]} |
482 | sciaso/greenpass-covid19-qrcode-decoder | refs/heads/master | /lib/datamapper.py | import json
from urllib.request import urlopen
class DataMapperError(Exception):
pass
class DataMapper:
qr_data = None
schema = None
json = ''
new_json = {}
def _save_json(self, data, schema, level=0):
for key, value in data.items():
try:
de... | {"/lib/greenpass.py": ["/lib/datamapper.py"], "/app.py": ["/lib/greenpass.py"]} |
483 | sciaso/greenpass-covid19-qrcode-decoder | refs/heads/master | /app.py | from flask import Flask, redirect, request, render_template
from os.path import splitext
from flask_sslify import SSLify
from flask_babel import Babel, gettext
import os
from lib.greenpass import GreenPassDecoder as greenpass_decoder
is_prod = os.environ.get('PRODUCTION', None)
ga_id = os.environ.get('GA_ID', None)
sh... | {"/lib/greenpass.py": ["/lib/datamapper.py"], "/app.py": ["/lib/greenpass.py"]} |
501 | FazilovDev/GraduateWork | refs/heads/main | /main.py | from Algorithms.Winnowing import get_fingerprints, get_text_from_file
from tkinter import *
from tkinter import filedialog as fd
import locale
k = 15
q = 259#259
w = 4
class PlagiarismDetect(Frame):
def __init__(self, parent):
Frame.__init__(self, parent, background="white")
self.parent = parent... | {"/main.py": ["/Algorithms/Winnowing.py"]} |
502 | FazilovDev/GraduateWork | refs/heads/main | /Algorithms/Winnowing.py | from Preprocessing.cleantext import *
class Gram:
def __init__(self, text, hash_gram, start_pos, end_pos):
self.text = text
self.hash = hash_gram
self.start_pos = start_pos
self.end_pos = end_pos
def get_text_from_file(filename):
with open(filename, 'r') as f:
text = f... | {"/main.py": ["/Algorithms/Winnowing.py"]} |
503 | Nimunex/TFG | refs/heads/master | /Device.py |
from bluepy import btle
from bluepy.btle import Peripheral, DefaultDelegate
import Services
from Services import EnvironmentService, BatterySensor, UserInterfaceService, MotionService, DeviceDelegate
## Thingy52 Definition
class Device(Peripheral):
##Thingy:52 module. Instance the class and enable to get acces... | {"/Device.py": ["/Services.py"], "/mainMotion.py": ["/Services.py", "/Device.py"]} |
504 | Nimunex/TFG | refs/heads/master | /call.py | #####################################################################
# BLE devices handler #
# A new subprocess is created for each preregistered device in: #
# ./devices.mac #
########################################... | {"/Device.py": ["/Services.py"], "/mainMotion.py": ["/Services.py", "/Device.py"]} |
505 | Nimunex/TFG | refs/heads/master | /Services.py |
from bluepy import btle
from bluepy.btle import UUID,Peripheral, DefaultDelegate
import os.path
import struct
import sys
import binascii
from urllib.request import urlopen
import bitstring
import fxpmath
from bitstring import BitArray
from fxpmath import Fxp
#Useful functions
def write_uint16(data, value, index):... | {"/Device.py": ["/Services.py"], "/mainMotion.py": ["/Services.py", "/Device.py"]} |
506 | Nimunex/TFG | refs/heads/master | /mainMotion.py | ##Main
from bluepy import btle
from bluepy.btle import Peripheral, DefaultDelegate
import os.path
import struct
import binascii
import sys
import datetime
import time
from time import time,sleep
import Services
from Services import EnvironmentService, BatterySensor, UserInterfaceService, MotionService, DeviceDelegate
... | {"/Device.py": ["/Services.py"], "/mainMotion.py": ["/Services.py", "/Device.py"]} |
512 | Frozen/jinja2-precompiler | refs/heads/master | /jinja2precompiler.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from optparse import OptionParser
import logging
import os
import re
import sys
import jinja2
def option_parse():
parser = OptionParser()
parser.add_option("-a", "--all", action="store_true", dest="all_files", help="all files")
parser.add_option("-b", "--base", des... | {"/tests/test_bugs.py": ["/jinja2precompiler.py"]} |
513 | Frozen/jinja2-precompiler | refs/heads/master | /tests/test_bugs.py | # -*- coding: utf-8 -*-
import jinja2
import pytest
import jinja2precompiler
def test_IndexError():
env = jinja2.Environment(loader=jinja2.FileSystemLoader(["."]))
filter_func = jinja2precompiler.make_filter_func("", env, extensions=["html"], all_files=True)
assert filter_func("test.html") == True
assert fil... | {"/tests/test_bugs.py": ["/jinja2precompiler.py"]} |
515 | furotsu/turret_game | refs/heads/master | /player.py | import pygame
import sys
import math
from random import randint, choice
from constants import *
class Player(pygame.sprite.Sprite):
def __init__(self, pos_x, pos_y, screen):
super(Player, self).__init__()
self.screen = screen
self.original_image = pygame.image.load(player_img).convert_alph... | {"/player.py": ["/constants.py"], "/menu.py": ["/constants.py"], "/terrain.py": ["/constants.py"], "/main.py": ["/controller.py", "/menu.py", "/constants.py"], "/death_screen.py": ["/constants.py"], "/controller.py": ["/menu.py", "/player.py", "/leaderboard.py", "/death_screen.py", "/terrain.py", "/constants.py"], "/le... |
516 | furotsu/turret_game | refs/heads/master | /menu.py | import pygame
from constants import *
class MenuButton:
"""Create a button """
def __init__(self, pos_x, pos_y, image, button_type):
self.button_type = button_type
self.image = pygame.image.load(image).convert_alpha()
self.size = self.image.get_rect().size
self.rect_pos = self... | {"/player.py": ["/constants.py"], "/menu.py": ["/constants.py"], "/terrain.py": ["/constants.py"], "/main.py": ["/controller.py", "/menu.py", "/constants.py"], "/death_screen.py": ["/constants.py"], "/controller.py": ["/menu.py", "/player.py", "/leaderboard.py", "/death_screen.py", "/terrain.py", "/constants.py"], "/le... |
517 | furotsu/turret_game | refs/heads/master | /terrain.py | import pygame
from constants import *
class Terrain:
def __init__(self):
pass | {"/player.py": ["/constants.py"], "/menu.py": ["/constants.py"], "/terrain.py": ["/constants.py"], "/main.py": ["/controller.py", "/menu.py", "/constants.py"], "/death_screen.py": ["/constants.py"], "/controller.py": ["/menu.py", "/player.py", "/leaderboard.py", "/death_screen.py", "/terrain.py", "/constants.py"], "/le... |
518 | furotsu/turret_game | refs/heads/master | /main.py | import pygame
from controller import *
from menu import *
from constants import *
def main():
pygame.init()
screen = pygame.display.set_mode((display_width, display_height))
pygame.display.set_caption("Cannon defend v0.08")
clock = pygame.time.Clock()
controller = Controller(screen, pygame.tim... | {"/player.py": ["/constants.py"], "/menu.py": ["/constants.py"], "/terrain.py": ["/constants.py"], "/main.py": ["/controller.py", "/menu.py", "/constants.py"], "/death_screen.py": ["/constants.py"], "/controller.py": ["/menu.py", "/player.py", "/leaderboard.py", "/death_screen.py", "/terrain.py", "/constants.py"], "/le... |
519 | furotsu/turret_game | refs/heads/master | /death_screen.py | import pygame
from constants import *
class Death_screen:
def __init__(self, screen, *buttons):
self.main_block = pygame.Surface((display_width - 200, display_height - 100))
self.main_block.fill(pygame.Color('sienna2'))
self.screen = screen
self.buttons = buttons
def draw(self... | {"/player.py": ["/constants.py"], "/menu.py": ["/constants.py"], "/terrain.py": ["/constants.py"], "/main.py": ["/controller.py", "/menu.py", "/constants.py"], "/death_screen.py": ["/constants.py"], "/controller.py": ["/menu.py", "/player.py", "/leaderboard.py", "/death_screen.py", "/terrain.py", "/constants.py"], "/le... |
520 | furotsu/turret_game | refs/heads/master | /controller.py | import pygame
import sys
import menu
import player
import leaderboard
import death_screen
import terrain
from constants import *
class Controller:
"""
Class that control all game actions
"""
def __init__(self, screen, clock):
self.screen = screen
self.clock = clock
self.g... | {"/player.py": ["/constants.py"], "/menu.py": ["/constants.py"], "/terrain.py": ["/constants.py"], "/main.py": ["/controller.py", "/menu.py", "/constants.py"], "/death_screen.py": ["/constants.py"], "/controller.py": ["/menu.py", "/player.py", "/leaderboard.py", "/death_screen.py", "/terrain.py", "/constants.py"], "/le... |
521 | furotsu/turret_game | refs/heads/master | /leaderboard.py | import shelve
import pygame
from constants import *
class Leaderboard:
def __init__(self, filename, screen):
self.file = shelve.open(filename)
self.closed = True
self.screen = screen
self.sorted_leaderboard = []
self.text = []
self.rendered_text = []
self.so... | {"/player.py": ["/constants.py"], "/menu.py": ["/constants.py"], "/terrain.py": ["/constants.py"], "/main.py": ["/controller.py", "/menu.py", "/constants.py"], "/death_screen.py": ["/constants.py"], "/controller.py": ["/menu.py", "/player.py", "/leaderboard.py", "/death_screen.py", "/terrain.py", "/constants.py"], "/le... |
522 | furotsu/turret_game | refs/heads/master | /constants.py | import os.path
display_height = 600
display_width = 1000
CHARGER_HEIGHT = 60
COOLDOWN_WIDTH = 50
PLAYER_POS_X = 50
PLAYER_POS_Y = 430
START_CANNON_ANGLE = 25
MISSILE_POS_X = 70
MISSILE_POS_Y = 470
ACCELERATION = -2
MAX_SHOT_POWER = 50
POWER_CHARGE = 5
COOLDOWN = 40
ENEMY_VELOCITY_X = 0
ENEMY_VELOCITY_Y = 4
TIME_BE... | {"/player.py": ["/constants.py"], "/menu.py": ["/constants.py"], "/terrain.py": ["/constants.py"], "/main.py": ["/controller.py", "/menu.py", "/constants.py"], "/death_screen.py": ["/constants.py"], "/controller.py": ["/menu.py", "/player.py", "/leaderboard.py", "/death_screen.py", "/terrain.py", "/constants.py"], "/le... |
529 | junprog/contrastive-baseline | refs/heads/main | /train.py | from utils.contrastive_trainer import CoTrainer
from utils.simsiam_trainer import SimSiamTrainer
import argparse
import os
import math
import torch
args = None
def parse_args():
parser = argparse.ArgumentParser(description='Train ')
parser.add_argument('--data-dir', default='/mnt/hdd02/process-ucf',
... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
530 | junprog/contrastive-baseline | refs/heads/main | /datasets/cifar10.py | from typing import Callable, Optional
import random
from PIL import Image
import numpy as np
import torch
import torchvision
from torchvision import transforms
from torchvision.datasets import CIFAR10
np.random.seed(765)
random.seed(765)
class SupervisedPosNegCifar10(torch.utils.data.Dataset):
def __init__(self... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
531 | junprog/contrastive-baseline | refs/heads/main | /models/l2_contrastive_loss.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class L2ContrastiveLoss(nn.Module):
"""
Contrastive loss
Takes embeddings of two samples and a target label == 1 if samples are from the same class and label == 0 otherwise
Args :
output1 & output2 : [N, dim]
target : [... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
532 | junprog/contrastive-baseline | refs/heads/main | /datasets/spatial.py | # in : original image
# out : cropped img1 (anchor)
# cropped img2 (compete)
# target (positive img1 - img2 : 1, negative img1 - img2 : 0)
import os
from glob import glob
import random
import numpy as np
from PIL import Image
from PIL import ImageFilter
import torch
import torch.utils.data as data
impor... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
533 | junprog/contrastive-baseline | refs/heads/main | /exp.py | import torch
import torchvision
from PIL import Image
from matplotlib import pyplot as plt
import random
model = torchvision.models.__dict__['vgg19']()
print(model)
img = torch.rand(1,3,256,256)
out = model.features(img)
print(out.size())
import torchvision.transforms as trans
crop = trans.RandomCrop(224)
img = tor... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
534 | junprog/contrastive-baseline | refs/heads/main | /models/create_linear_eval_model.py | import os
from collections import OrderedDict
import torch
import torch.nn as nn
import torchvision.models as models
class LinearEvalModel(nn.Module):
def __init__(self, arch='vgg19', dim=512, num_classes=10):
super().__init__()
if arch == 'vgg19':
self.features = models.vgg19().featu... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
535 | junprog/contrastive-baseline | refs/heads/main | /models/cosine_contrastive_loss.py | import torch
import torch.nn as nn
import torch.nn.functional as F
def D(p, z, version='simplified'): # negative cosine similarity
if version == 'original':
z = z.detach() # stop gradient
p = F.normalize(p, dim=1) # l2-normalize
z = F.normalize(z, dim=1) # l2-normalize
return -(... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
536 | junprog/contrastive-baseline | refs/heads/main | /utils/helper.py | import os
import numpy as np
import torch
def worker_init_fn(worker_id):
np.random.seed(np.random.get_state()[1][0] + worker_id)
class Save_Handle(object):
"""handle the number of """
def __init__(self, max_num):
self.save_list = []
... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
537 | junprog/contrastive-baseline | refs/heads/main | /utils/visualizer.py | import os
import numpy as np
from PIL import Image
import torch
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
### torch テンソル(バッチ)を受け取って、args.div_numに応じて、描画する
mean = np.array([0.485, 0.456, 0.406])
std = np.array([0.229, 0.224, 0.225])
def invnorm(img, N):
img = img[N,:,:,:].to('c... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
538 | junprog/contrastive-baseline | refs/heads/main | /train_val_split.py | import os
from glob import glob
import numpy as np
import argparse
def parse_args():
parser = argparse.ArgumentParser(description='Test ')
parser.add_argument('--data-dir', default='/mnt/hdd02/shibuya_scramble',
help='original data directory')
args = parser.parse_args()
return ... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
539 | junprog/contrastive-baseline | refs/heads/main | /utils/simsiam_trainer.py | import os
import sys
import time
import logging
import numpy as np
import torch
from torch import optim
from torch.optim import lr_scheduler
from torch.utils.data import DataLoader
import torchvision.models as models
import torchvision.datasets as datasets
from models.simple_siamese_net import SiameseNetwork
from mo... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
540 | junprog/contrastive-baseline | refs/heads/main | /models/simple_siamese_net_tmp.py | import torch
import torch.nn as nn
class projection_MLP(nn.Module):
def __init__(self, in_dim=512, hidden_dim=512, out_dim=512): # bottleneck structure
super().__init__()
self.layers = nn.Sequential(
nn.Linear(in_dim, hidden_dim),
nn.ReLU(),
nn.Linear(hi... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
541 | junprog/contrastive-baseline | refs/heads/main | /utils/contrastive_trainer.py | import os
import sys
import time
import logging
import numpy as np
import torch
from torch import optim
from torch.optim import lr_scheduler
from torch.utils.data import DataLoader
import torchvision.models as models
import torchvision.datasets as datasets
from models.siamese_net import SiameseNetwork
from models.l2... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
542 | junprog/contrastive-baseline | refs/heads/main | /linear_eval.py | import os
import argparse
import logging
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim import lr_scheduler
from torch.utils.data import DataLoader
import torchvision.models as models
from datasets.cifar10 import get_simsiam_dataset
f... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
543 | junprog/contrastive-baseline | refs/heads/main | /models/siamese_net.py | import torch
import torch.nn as nn
class SiameseNetwork(nn.Module):
def __init__(self, model, pretrained=False, simple_model=False):
super(SiameseNetwork, self).__init__()
self.simple_model = simple_model
if simple_model:
self.features = nn.Sequential(nn.Conv2d(3, 32, 5), nn.PRe... | {"/train.py": ["/utils/contrastive_trainer.py", "/utils/simsiam_trainer.py"], "/utils/simsiam_trainer.py": ["/models/cosine_contrastive_loss.py", "/utils/helper.py", "/utils/visualizer.py", "/datasets/spatial.py", "/datasets/cifar10.py"], "/utils/contrastive_trainer.py": ["/models/siamese_net.py", "/models/l2_contrasti... |
544 | EricHughesABC/T2EPGviewer | refs/heads/master | /t2fit.py | # -*- coding: utf-8 -*-
"""
Created on Sat Mar 3 11:30:41 2018
@author: ERIC
"""
import numpy as np
import lmfit
from epg import cpmg_epg_b1 as cpmg_epg_b1_c
from scipy import integrate
mxyz90 = np.fromfile( 'epg/mxyz90.txt', sep=' ' )
mxyz180 = np.fromfile('epg/mxyz180.txt', sep=' ')
mxyz90 = mxyz9... | {"/visionplot_widgets.py": ["/t2fit.py", "/ImageData.py", "/epgT2paramsDialog.py", "/azzT2paramsDialog.py"], "/simple_pandas_plot.py": ["/visionplot_widgets.py", "/mriplotwidget.py", "/ImageData.py"]} |
545 | EricHughesABC/T2EPGviewer | refs/heads/master | /visionplot_widgets.py | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 28 13:11:07 2018
@author: neh69
"""
import sys
import numpy as np
#import matplotlib
import pandas as pd
#import mplcursors
from uncertainties import ufloat
import t2fit
import lmfit as lm
from matplotlib import pyplot as plt
#import seaborn as sns
f... | {"/visionplot_widgets.py": ["/t2fit.py", "/ImageData.py", "/epgT2paramsDialog.py", "/azzT2paramsDialog.py"], "/simple_pandas_plot.py": ["/visionplot_widgets.py", "/mriplotwidget.py", "/ImageData.py"]} |
546 | EricHughesABC/T2EPGviewer | refs/heads/master | /epgT2paramsDialog.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'epg_fit_parameters_dialog.ui'
#
# Created by: PyQt5 UI code generator 5.6
#
# WARNING! All changes made in this file will be lost!
import lmfit as lm
from PyQt5 import QtCore, QtGui, QtWidgets
class EpgT2paramsDialog(object):
... | {"/visionplot_widgets.py": ["/t2fit.py", "/ImageData.py", "/epgT2paramsDialog.py", "/azzT2paramsDialog.py"], "/simple_pandas_plot.py": ["/visionplot_widgets.py", "/mriplotwidget.py", "/ImageData.py"]} |
547 | EricHughesABC/T2EPGviewer | refs/heads/master | /mriplotwidget.py | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 17 14:34:43 2019
@author: neh69
"""
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
#import seaborn as sns
from matplotlib.backends.qt_compat import QtCore, QtWidgets, is_pyqt5
#import seaborn as sns
if is_pyqt5():
print("... | {"/visionplot_widgets.py": ["/t2fit.py", "/ImageData.py", "/epgT2paramsDialog.py", "/azzT2paramsDialog.py"], "/simple_pandas_plot.py": ["/visionplot_widgets.py", "/mriplotwidget.py", "/ImageData.py"]} |
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