index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
24,978 | jackw01/led-control | refs/heads/master | /ledcontrol/animationfunctions.py | # led-control WS2812B LED Controller Server
# Copyright 2022 jackw01. Released under the MIT License (see LICENSE for details).
from random import random
from enum import Enum
import ledcontrol.driver as driver
import ledcontrol.utils as utils
ColorMode = Enum('ColorMode', ['hsv', 'rgb'])
def blank(t, dt, x, y, z, ... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,979 | jackw01/led-control | refs/heads/master | /ledcontrol/app.py | # led-control WS2812B LED Controller Server
# Copyright 2022 jackw01. Released under the MIT License (see LICENSE for details).
import json
import atexit
import shutil
import traceback
from threading import Timer
from pathlib import Path
from flask import Flask, render_template, request, jsonify
from ledcontrol.animat... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,980 | jackw01/led-control | refs/heads/master | /ledcontrol/driver/driver_non_raspberry_pi.py | # led-control WS2812B LED Controller Server
# Copyright 2023 jackw01. Released under the MIT License (see LICENSE for details).
import math
import pyfastnoisesimd as fns
noise_coords = fns.empty_coords(3)
noise = fns.Noise()
def float_to_int_1000(t):
return int(t * 999.9) % 1000
def float_to_int_1000_mirror(t):... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,981 | jackw01/led-control | refs/heads/master | /ledcontrol/driver/__init__.py | # led-control WS2812B LED Controller Server
# Copyright 2023 jackw01. Released under the MIT License (see LICENSE for details).
import io
def is_raspberrypi():
try:
with io.open('/sys/firmware/devicetree/base/model', 'r') as m:
if 'raspberry pi' in m.read().lower():
return True... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,982 | jackw01/led-control | refs/heads/master | /renderpreviews.py | from PIL import Image
from colorsys import hsv_to_rgb
from ledcontrol.animationcontroller import AnimationController
import ledcontrol.animationfunctions as animfunctions
import ledcontrol.colorpalettes as colorpalettes
import ledcontrol.pixelmappings as pixelmappings
import ledcontrol.driver as driver
import ledcontro... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,983 | jackw01/led-control | refs/heads/master | /ledcontrol/animationcontroller.py | # led-control WS2812B LED Controller Server
# Copyright 2022 jackw01. Released under the MIT License (see LICENSE for details).
import math
import random
import time
import traceback
import RestrictedPython
import sacn
import collections
from itertools import zip_longest
from ledcontrol.intervaltimer import IntervalTi... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,984 | jackw01/led-control | refs/heads/master | /ledcontrol/intervaltimer.py | # led-control WS2812B LED Controller Server
# Copyright 2022 jackw01. Released under the MIT License (see LICENSE for details).
import time
from threading import Event, Thread
class IntervalTimer:
'Repeat function call at a regular interval'
def __init__(self, interval, function, *args, **kwargs):
se... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,985 | jackw01/led-control | refs/heads/master | /ledcontrol/utils.py | # led-control WS2812B LED Controller Server
# Copyright 2021 jackw01. Released under the MIT License (see LICENSE for details).
import re
import math
import colorsys
# Constrain value
def clamp(x, min, max):
if x < min:
return min
elif x > max:
return max
else:
return x
# Title ge... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,986 | jackw01/led-control | refs/heads/master | /ledcontrol/__init__.py | # led-control WS2812B LED Controller Server
# Copyright 2022 jackw01. Released under the MIT License (see LICENSE for details).
import argparse
from ledcontrol.app import create_app
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--port', type=int, default=80,
help=... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,987 | jackw01/led-control | refs/heads/master | /setup.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from setuptools import find_packages, setup, Extension
from setuptools.command.develop import develop
from setuptools.command.install import install
from subprocess import check_call
def pre_install():
print('preinstall')
if is_raspberrypi():
ch... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,988 | jackw01/led-control | refs/heads/master | /ledcontrol/homekit.py | import threading
import signal
from pyhap.accessory import Accessory
from pyhap.accessory_driver import AccessoryDriver
from pyhap.const import CATEGORY_LIGHTBULB
class LEDControlHomeKitAccessory(Accessory):
category = CATEGORY_LIGHTBULB # This is for the icon in the iOS Home app.
def __init__(self, *args,... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
24,989 | jackw01/led-control | refs/heads/master | /ledcontrol/pixelmappings.py | # led-control WS2812B LED Controller Server
# Copyright 2021 jackw01. Released under the MIT License (see LICENSE for details).
import collections
Point = collections.namedtuple('Point', ['x', 'y', 'z'])
def line(count):
return lambda i: Point(i / count, 0, 0)
def from_array(mapping):
min_v = min([min(pt) f... | {"/ledcontrol/ledcontroller.py": ["/ledcontrol/animationfunctions.py", "/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/animationfunctions.py": ["/ledcontrol/driver/__init__.py", "/ledcontrol/utils.py"], "/ledcontrol/app.py": ["/ledcontrol/animationcontroller.py", "/ledcontrol/ledcontroller.py", ... |
25,012 | MuhammedBuyukkinaci/TensorFlow-Multiclass-Image-Classification-using-CNN-s | refs/heads/master | /main.py | import os # dealing with directories
import matplotlib.pyplot as plt # for visualizations
import numpy as np # arrays
import pandas as pd # for manipulating data
import torch
import torch.nn as nn
import torch.nn.functional as F
from PIL import Image
from sklearn.metrics import roc_auc_score
from torch.u... | {"/main.py": ["/utils/helpers.py"]} |
25,013 | MuhammedBuyukkinaci/TensorFlow-Multiclass-Image-Classification-using-CNN-s | refs/heads/master | /utils/helpers.py | import os
import zipfile
import cv2
import numpy as np
import torchvision.transforms as transforms
def unzip_input_file(file_name) -> None:
with zipfile.ZipFile(file_name, "r") as zip_ref:
zip_ref.extractall()
# Reading .npy files
def load_data(file_path: str):
return np.load(file_path, allow_pickl... | {"/main.py": ["/utils/helpers.py"]} |
25,017 | lferran/pyflipt | refs/heads/main | /pyflipt/__init__.py | from .client import * # noqa
from .models import * # noqa
| {"/pyflipt/__init__.py": ["/pyflipt/client.py", "/pyflipt/models.py"], "/example.py": ["/pyflipt/__init__.py"], "/pyflipt/client.py": ["/pyflipt/__init__.py"]} |
25,018 | lferran/pyflipt | refs/heads/main | /pyflipt/models.py | from enum import Enum
from typing import Dict, Optional
from pydantic import BaseModel
class FliptBasicUnit(BaseModel):
...
class Flag(FliptBasicUnit):
key: str
name: str
description: Optional[str]
enabled: bool
class Rule(FliptBasicUnit):
flag_key: str
segment_key: str
rank: int
... | {"/pyflipt/__init__.py": ["/pyflipt/client.py", "/pyflipt/models.py"], "/example.py": ["/pyflipt/__init__.py"], "/pyflipt/client.py": ["/pyflipt/__init__.py"]} |
25,019 | lferran/pyflipt | refs/heads/main | /example.py | import asyncio
from pyflipt import (
ComparisonType,
Constraint,
Flag,
MatchType,
OperatorType,
Rule,
Segment,
get_client,
)
FLIPT_API_BASE_URL = "http://localhost:8083/api/v1"
async def main():
pf = get_client(FLIPT_API_BASE_URL)
flag = Flag(key="myflag", name="My Flag", en... | {"/pyflipt/__init__.py": ["/pyflipt/client.py", "/pyflipt/models.py"], "/example.py": ["/pyflipt/__init__.py"], "/pyflipt/client.py": ["/pyflipt/__init__.py"]} |
25,020 | lferran/pyflipt | refs/heads/main | /pyflipt/client.py | import json
from typing import List
from aiohttp import ClientSession
from pyflipt import models
__all__ = ["get_client", "FliptClient", "FliptError"]
def safe_path_join(*url_parts) -> str:
parts = []
n_parts = len(url_parts)
for index, part in enumerate(url_parts):
if index == 0:
p... | {"/pyflipt/__init__.py": ["/pyflipt/client.py", "/pyflipt/models.py"], "/example.py": ["/pyflipt/__init__.py"], "/pyflipt/client.py": ["/pyflipt/__init__.py"]} |
25,023 | ego-alt/blobchain | refs/heads/master | /blobchain/peer.py | import blobchain.blockchain as blockchain
import asyncio
import socket
import ast
# Hard-coded nodes in the network provides a contact point for finding other peers
defaulthost = '127.0.0.1'
sisters = [8888, 8877, 8866, 8855]
peerlist = []
def extract_data(data):
# Processes the raw data received into a tuple of... | {"/blobchain/peer.py": ["/blobchain/blockchain.py"], "/blobchain/miner.py": ["/blobchain/peer.py"], "/blobchain/key_generator.py": ["/blobchain/primes.py"], "/blobchain/client.py": ["/blobchain/peer.py"]} |
25,024 | ego-alt/blobchain | refs/heads/master | /blobchain/miner.py | from blobchain.peer import BlobNode
import asyncio
import sys
port = int(sys.argv[1])
if len(sys.argv) == 2:
host = None
else:
host = str(sys.argv[2])
asyncio.run(BlobNode(port, host).main())
| {"/blobchain/peer.py": ["/blobchain/blockchain.py"], "/blobchain/miner.py": ["/blobchain/peer.py"], "/blobchain/key_generator.py": ["/blobchain/primes.py"], "/blobchain/client.py": ["/blobchain/peer.py"]} |
25,025 | ego-alt/blobchain | refs/heads/master | /blobchain/key_generator.py | from random import randint
from hashlib import sha256
import blobchain.primes as primes
"""Adapted the Digital Signature Algorithm as documented by the U.S. Department of Commerce
Section B.1.1: Key Pair Generation Using Extra Random Bits
Create public and private keys"""
def bits_to_integer(bits, N):
integer = ... | {"/blobchain/peer.py": ["/blobchain/blockchain.py"], "/blobchain/miner.py": ["/blobchain/peer.py"], "/blobchain/key_generator.py": ["/blobchain/primes.py"], "/blobchain/client.py": ["/blobchain/peer.py"]} |
25,026 | ego-alt/blobchain | refs/heads/master | /web/server.py | import os
from abc import ABC
from tornado.web import Application, RequestHandler
from tornado.options import define, options, parse_command_line
from tornado.ioloop import IOLoop
define('port', default=5000, help='Port to listen on')
STATIC_DIRNAME = "assets"
settings = {
"static_path": os.path.join(os.path.dirn... | {"/blobchain/peer.py": ["/blobchain/blockchain.py"], "/blobchain/miner.py": ["/blobchain/peer.py"], "/blobchain/key_generator.py": ["/blobchain/primes.py"], "/blobchain/client.py": ["/blobchain/peer.py"]} |
25,027 | ego-alt/blobchain | refs/heads/master | /blobchain/blockchain.py | from hashlib import sha256
from time import time
class Blobchain:
def __init__(self):
self.chain = []
self.genesis_block()
def genesis_block(self):
# Initialises the blockchain with the genesis block
self.chain.append(Blob(0, "1", None, None, None))
pass
def new_b... | {"/blobchain/peer.py": ["/blobchain/blockchain.py"], "/blobchain/miner.py": ["/blobchain/peer.py"], "/blobchain/key_generator.py": ["/blobchain/primes.py"], "/blobchain/client.py": ["/blobchain/peer.py"]} |
25,028 | ego-alt/blobchain | refs/heads/master | /blobchain/primes.py | from hashlib import sha1
from math import gcd
from sympy import isprime
"""Generation of probable primes p and q using the Shawe-Taylor method
Implement as parameters for securely generating keys and signatures"""
def hash_int(digit):
# Converts SHA1 hash to integer
digit = str(digit)
new_hash = sha1(dig... | {"/blobchain/peer.py": ["/blobchain/blockchain.py"], "/blobchain/miner.py": ["/blobchain/peer.py"], "/blobchain/key_generator.py": ["/blobchain/primes.py"], "/blobchain/client.py": ["/blobchain/peer.py"]} |
25,029 | ego-alt/blobchain | refs/heads/master | /blobchain/client.py | from flask import Flask, request
import blobchain.peer as peer
import asyncio
app = Flask(__name__)
defaulthost = '127.0.0.1'
sisters = [8888, 8877, 8866, 8855]
port = 5000
@app.route('/transaction', methods=['POST'])
def make_transaction():
if request.method == 'POST':
transaction = request.get_json(for... | {"/blobchain/peer.py": ["/blobchain/blockchain.py"], "/blobchain/miner.py": ["/blobchain/peer.py"], "/blobchain/key_generator.py": ["/blobchain/primes.py"], "/blobchain/client.py": ["/blobchain/peer.py"]} |
25,041 | guma44/pyCLIP | refs/heads/master | /WiggleReader.py | from HTSeq import GenomicInterval, FileOrSequence
class WiggleReader(FileOrSequence):
"""Parse a Wiggle file"""
def __init__(self, filename_or_sequence, strand):
"""@todo: to be defined1.
:param filename_or_sequence: @todo
:param strand: @todo
"""
FileOrSequence.__i... | {"/test/test_ShortRead.py": ["/ShortRead.py"]} |
25,042 | guma44/pyCLIP | refs/heads/master | /test/test_ShortRead.py | import os
import sys
import unittest
script_dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(script_dir, ".."))
from ShortRead import ShortRead, IncorrectCigarException, CLIPzCigar
class CLIPzCigarTest(unittest.TestCase):
def setUp(self):
# plus strand
self.cigar1 = ... | {"/test/test_ShortRead.py": ["/ShortRead.py"]} |
25,043 | guma44/pyCLIP | refs/heads/master | /ShortRead.py | import re
from collections import defaultdict
from HTSeq import GenomicInterval, GenomicFeature
mutations_mapping = {'MAC': 'MTG',
'MAT': 'MTA',
'MAG': 'MTC',
'MAN': 'MTN',
'MCA': 'MGT',
'MCT': 'MGA',
... | {"/test/test_ShortRead.py": ["/ShortRead.py"]} |
25,044 | guma44/pyCLIP | refs/heads/master | /test/test_pyCLIP.py | import os
import sys
from Bio import SeqIO
script_dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(script_dir, ".."))
import ShortRead
for rec in SeqIO.parse(os.path.join(script_dir, 'test.fa'), 'fasta'):
actual = rec.id.split('|')[0].split(':')
read = ShortRead.ShortRead(chrom='c... | {"/test/test_ShortRead.py": ["/ShortRead.py"]} |
25,045 | mmjimenez1/restaurant_finder | refs/heads/master | /Yelp.py | import requests
import pandas as pd
import sqlalchemy
import os
from sqlalchemy import create_engine
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import plotly.graph_objects as go
import plotly.express as px
# Collect input from user and return it.
def collect_state_input():
state = input... | {"/test.py": ["/Yelp.py"]} |
25,046 | mmjimenez1/restaurant_finder | refs/heads/master | /test.py | import unittest
import pandas as pd
from Yelp import collect_state_input, collect_zip_input
from Yelp import collect_liked_input, makeScatterchart
from Yelp import makeBarchart, create_search_url
from Yelp import api_to_json, add_all_info_df
class TestFileName(unittest.TestCase):
# State length is greater than abbre... | {"/test.py": ["/Yelp.py"]} |
25,048 | Nyagah-Tech/blog | refs/heads/master | /app/auth/forms.py | from flask_wtf import FlaskForm
from wtforms import StringField,PasswordField,SubmitField,BooleanField
from wtforms.validators import Required,Email,EqualTo
from ..models import User
from wtforms import ValidationError
class LoginForm(FlaskForm):
username = StringField('your username',validators = [Required()])
... | {"/app/auth/forms.py": ["/app/models.py"], "/app/main/views.py": ["/app/models.py", "/app/main/forms.py"]} |
25,049 | Nyagah-Tech/blog | refs/heads/master | /app/main/forms.py | from flask_wtf import FlaskForm
from wtforms import StringField,BooleanField,TextAreaField,SubmitField
from wtforms.validators import Required,Email
class New_blog_form(FlaskForm):
title = StringField('Blog title',validators = [Required()])
body = TextAreaField('Write your blog here ', validators = [Required()... | {"/app/auth/forms.py": ["/app/models.py"], "/app/main/views.py": ["/app/models.py", "/app/main/forms.py"]} |
25,050 | Nyagah-Tech/blog | refs/heads/master | /app/models.py | from . import db
from werkzeug.security import generate_password_hash,check_password_hash
from flask_login import UserMixin
from . import login_manager
from datetime import datetime
class User(UserMixin,db.Model):
__tablename__ = 'users'
id = db.Column(db.Integer,primary_key = True)
username = db.Column(d... | {"/app/auth/forms.py": ["/app/models.py"], "/app/main/views.py": ["/app/models.py", "/app/main/forms.py"]} |
25,051 | Nyagah-Tech/blog | refs/heads/master | /config.py | class Config:
SECRET_KEY ='dm/01254'
SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://dan:12345@localhost/blog'
UPLOADED_PHOTOS_DEST = 'app/static/photos'
QOUTE_API_URL = 'http://quotes.stormconsultancy.co.uk/random.json'
MAIL_SERVER = 'smtp.googlemail.com'
MAIL_PORT = 587
MAIL_USE_TLS = ... | {"/app/auth/forms.py": ["/app/models.py"], "/app/main/views.py": ["/app/models.py", "/app/main/forms.py"]} |
25,052 | Nyagah-Tech/blog | refs/heads/master | /app/main/views.py | from flask import render_template,redirect,url_for,abort,request
from . import main
from flask_login import login_required,current_user
from ..models import User,Blog,Comment,Subscribe
from .forms import New_blog_form,CommentForm,UpdateProfileForm,UpdateBlogForm,Subscribe_Form
from .. import db,photos
from ..email impo... | {"/app/auth/forms.py": ["/app/models.py"], "/app/main/views.py": ["/app/models.py", "/app/main/forms.py"]} |
25,081 | TSejal/Python-Education_mgmt | refs/heads/master | /school_mgmt/urls.py | from django.conf.urls import patterns, include, url
from django.contrib import admin
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from education_mgmt import settings | {"/school_mgmt/admin.py": ["/school_mgmt/models.py"]} |
25,082 | TSejal/Python-Education_mgmt | refs/heads/master | /school_mgmt/models.py | from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User
from django.conf import settings
from django.dispatch import receiver
from rest_framework.authtoken.models import Token
class University(models.Model):
name = models.CharField(max_length=50)
logo = mo... | {"/school_mgmt/admin.py": ["/school_mgmt/models.py"]} |
25,083 | TSejal/Python-Education_mgmt | refs/heads/master | /school_mgmt/serializers.py |
from rest_framework import serializers
from school_mgmt.models import *
from rest_framework.validators import UniqueValidator
from django.contrib.auth.models import User
from random import randint
class UserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = ('us... | {"/school_mgmt/admin.py": ["/school_mgmt/models.py"]} |
25,084 | TSejal/Python-Education_mgmt | refs/heads/master | /school_mgmt/migrations/0001_initial.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.utils.timezone
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations ... | {"/school_mgmt/admin.py": ["/school_mgmt/models.py"]} |
25,085 | TSejal/Python-Education_mgmt | refs/heads/master | /school_mgmt/admin.py | from django.contrib import admin
from school_mgmt.models import *
# Register your models here.
class UniversityAdmin(admin.ModelAdmin):
fieldsets = (
('University data', {'fields': ('name', 'logo', 'website')}),
('Date', {'fields': ('created_at','modified_at')}),
('Permission', {'fi... | {"/school_mgmt/admin.py": ["/school_mgmt/models.py"]} |
25,086 | TSejal/Python-Education_mgmt | refs/heads/master | /api/urls.py | from django.conf.urls import patterns, url
# from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from api.views import *
from rest_framework.authtoken import views as tokenView
print "in api url"
urlpatterns = patterns('',
url(r'^login/$', tokenView.obtain_auth_token),
url(r'^regi... | {"/school_mgmt/admin.py": ["/school_mgmt/models.py"]} |
25,087 | TSejal/Python-Education_mgmt | refs/heads/master | /api/views.py | from django.shortcuts import render
from rest_framework import status
from rest_framework.decorators import api_view, authentication_classes
from rest_framework.response import Response
from school_mgmt.serializers import *
from school_mgmt.models import *
from rest_framework.authentication import TokenAuthentication
... | {"/school_mgmt/admin.py": ["/school_mgmt/models.py"]} |
25,095 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /util/visualizer.py | """This script defines the visualizer for Deep3DFaceRecon_pytorch
"""
import numpy as np
import os
import sys
import ntpath
import time
from . import util, html
from subprocess import Popen, PIPE
from torch.utils.tensorboard import SummaryWriter
def save_images(webpage, visuals, image_path, aspect_ratio=1.0, width=25... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,096 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /util/detect_lm68.py | import os
import cv2
import numpy as np
from scipy.io import loadmat
import tensorflow as tf
from util.preprocess import align_for_lm
from shutil import move
mean_face = np.loadtxt('util/test_mean_face.txt')
mean_face = mean_face.reshape([68, 2])
def save_label(labels, save_path):
np.savetxt(save_path, labels)
d... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,097 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /options/train_options.py | """This script contains the training options for Deep3DFaceRecon_pytorch
"""
from .base_options import BaseOptions
from util import util
class TrainOptions(BaseOptions):
"""This class includes training options.
It also includes shared options defined in BaseOptions.
"""
def initialize(self, parser):... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,098 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /data/flist_dataset.py | """This script defines the custom dataset for Deep3DFaceRecon_pytorch
"""
import os.path
from data.base_dataset import BaseDataset, get_transform, get_affine_mat, apply_img_affine, apply_lm_affine
from data.image_folder import make_dataset
from PIL import Image
import random
import util.util as util
import numpy as np... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,099 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /data_preparation.py | """This script is the data preparation script for Deep3DFaceRecon_pytorch
"""
import os
import numpy as np
import argparse
from util.detect_lm68 import detect_68p,load_lm_graph
from util.skin_mask import get_skin_mask
from util.generate_list import check_list, write_list
import warnings
warnings.filterwarnings("ignor... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,100 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /options/test_options.py | """This script contains the test options for Deep3DFaceRecon_pytorch
"""
from .base_options import BaseOptions
class TestOptions(BaseOptions):
"""This class includes test options.
It also includes shared options defined in BaseOptions.
"""
def initialize(self, parser):
parser = BaseOptions.... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,101 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /train.py | """This script is the training script for Deep3DFaceRecon_pytorch
"""
import os
import time
import numpy as np
import torch
from options.train_options import TrainOptions
from data import create_dataset
from models import create_model
from util.visualizer import MyVisualizer
from util.util import genvalconf
import tor... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,102 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /util/util.py | """This script contains basic utilities for Deep3DFaceRecon_pytorch
"""
from __future__ import print_function
import numpy as np
import torch
from PIL import Image
import os
import importlib
import argparse
from argparse import Namespace
import torchvision
def str2bool(v):
if isinstance(v, bool):
return v... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,103 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /models/facerecon_model.py | """This script defines the face reconstruction model for Deep3DFaceRecon_pytorch
"""
import numpy as np
import torch
from .base_model import BaseModel
from . import networks
from .bfm import ParametricFaceModel
from .losses import perceptual_loss, photo_loss, reg_loss, reflectance_loss, landmark_loss
from util import ... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,104 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /models/losses.py | import numpy as np
import torch
import torch.nn as nn
from kornia.geometry import warp_affine
import torch.nn.functional as F
def resize_n_crop(image, M, dsize=112):
# image: (b, c, h, w)
# M : (b, 2, 3)
return warp_affine(image, M, dsize=(dsize, dsize))
### perceptual level loss
class PerceptualLoss(n... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,105 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /util/generate_list.py | """This script is to generate training list files for Deep3DFaceRecon_pytorch
"""
import os
# save path to training data
def write_list(lms_list, imgs_list, msks_list, mode='train',save_folder='datalist', save_name=''):
save_path = os.path.join(save_folder, mode)
if not os.path.isdir(save_path):
os.ma... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,106 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /util/preprocess.py | """This script contains the image preprocessing code for Deep3DFaceRecon_pytorch
"""
import numpy as np
from scipy.io import loadmat
from PIL import Image
import cv2
import os
from skimage import transform as trans
import torch
import warnings
warnings.filterwarnings("ignore", category=np.VisibleDeprecationWarning)
w... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,107 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /test.py | """This script is the test script for Deep3DFaceRecon_pytorch
"""
import os
from options.test_options import TestOptions
from data import create_dataset
from models import create_model
from util.visualizer import MyVisualizer
from util.preprocess import align_img
from PIL import Image
import numpy as np
from util.load... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,108 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /data/base_dataset.py | """This module implements an abstract base class (ABC) 'BaseDataset' for datasets.
It also includes common transformation functions (e.g., get_transform, __scale_width), which can be later used in subclasses.
"""
import random
import numpy as np
import torch.utils.data as data
from PIL import Image
import torchvision.... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,109 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /models/bfm.py | """This script defines the parametric 3d face model for Deep3DFaceRecon_pytorch
"""
import numpy as np
import torch
import torch.nn.functional as F
from scipy.io import loadmat
from util.load_mats import transferBFM09
import os
def perspective_projection(focal, center):
# return p.T (N, 3) @ (3, 3)
return n... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,110 | matajoh/Deep3DFaceRecon_pytorch | refs/heads/master | /util/nvdiffrast.py | """This script is the differentiable renderer for Deep3DFaceRecon_pytorch
Attention, antialiasing step is missing in current version.
"""
import torch
import torch.nn.functional as F
import kornia
from kornia.geometry.camera import pixel2cam
import numpy as np
from typing import List
import nvdiffrast.torch as dr
... | {"/util/detect_lm68.py": ["/util/preprocess.py"], "/data/flist_dataset.py": ["/data/base_dataset.py", "/util/util.py", "/util/preprocess.py"], "/data_preparation.py": ["/util/detect_lm68.py", "/util/generate_list.py"], "/train.py": ["/options/train_options.py", "/util/visualizer.py", "/util/util.py"], "/models/facereco... |
25,130 | deathbeds/importnb | refs/heads/main | /src/importnb/loader.py | # coding: utf-8
"""# `loader`
the loading machinery for notebooks style documents, and less.
notebooks combine code, markdown, and raw cells to create a complete document.
the importnb loader provides an interface for transforming these objects to valid python.
"""
import ast
import inspect
import re
import shlex
im... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,131 | deathbeds/importnb | refs/heads/main | /src/importnb/utils/pytest_importnb.py | # coding: utf-8
"""A `pytest` plugin for importing notebooks as modules and using standard test discovered.
The `AlternativeModule` is reusable. See `pidgin` for an example.
"""
from pathlib import Path
import pytest
from importnb import Notebook
def get_file_patterns(cls, parent):
for pat in parent.config.g... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,132 | deathbeds/importnb | refs/heads/main | /src/importnb/decoder.py | import json
import linecache
import textwrap
from functools import partial
def quote(object, *, quotes="'''"):
if quotes in object:
quotes = '"""'
return quotes + object + "\n" + quotes
from ._json_parser import Lark_StandAlone, Transformer, Tree
class Transformer(Transformer):
def __init__(
... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,133 | deathbeds/importnb | refs/heads/main | /hatch_build.py | import os
import shlex
import sys
from functools import partial
from io import StringIO
from pathlib import Path
from hatchling.builders.hooks.plugin.interface import BuildHookInterface
class LarkStandAloneBuildHook(BuildHookInterface):
PLUGIN_NAME = "lark_standalone"
def initialize(self, version, build_dat... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,134 | deathbeds/importnb | refs/heads/main | /src/importnb/__init__.py | # coding: utf-8
__all__ = "Notebook", "reload", "imports"
def is_ipython():
from sys import modules
return "IPython" in modules
def get_ipython(force=True):
if force or is_ipython():
try:
from IPython import get_ipython
except ModuleNotFoundError:
return
... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,135 | deathbeds/importnb | refs/heads/main | /src/importnb/finder.py | # coding: utf-8
"""# `sys.path_hook` modifiers
Many suggestions for importing notebooks use `sys.meta_paths`, but `importnb` relies on the `sys.path_hooks` to load any notebook in the path. `PathHooksContext` is a base class for the `importnb.Notebook` `SourceFileLoader`.
"""
import inspect
import sys
from importlib.... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,136 | deathbeds/importnb | refs/heads/main | /src/importnb/__main__.py | from . import Notebook
def main(argv=None):
"""a convenience function for running importnb as an application"""
Notebook.load_argv(argv)
return
if __name__ == "__main__":
main()
| {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,137 | deathbeds/importnb | refs/heads/main | /src/importnb/loaders.py | from .loader import Loader, SourceModule
from dataclasses import dataclass, field
from types import ModuleType
class DataModule(SourceModule):
def _repr_json_(self):
return self.data, dict(root=repr(self), expanded=False)
@dataclass
class DataStreamLoader(Loader):
"""an import loader for data streams... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,138 | deathbeds/importnb | refs/heads/main | /src/importnb/docstrings.py | # coding: utf-8
"""# Special handling of markdown cells as docstrings.
Modify the Python `ast` to assign docstrings to functions when they are preceded by a Markdown cell.
"""
import ast
"""# Modifying the `ast`
>>> assert isinstance(create_test, ast.Assign)
>>> assert isinstance(test_update, ast.Attribute)... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,139 | deathbeds/importnb | refs/heads/main | /src/importnb/utils/ipython.py | # coding: utf-8
import ast
import json
import os
import sys
from pathlib import Path
from IPython import get_ipython, paths
from IPython.core import profiledir
def get_config(profile="default"):
profile_dir = profiledir.ProfileDir()
try:
profile = profile_dir.find_profile_dir_by_name(paths.get_ipytho... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,140 | deathbeds/importnb | refs/heads/main | /docs/test_cli.py | from pathlib import Path
from subprocess import check_call
from sys import executable, path, version_info
from pytest import importorskip
from importnb import Notebook
GTE10 = version_info.major == 3 and version_info.minor >= 10
HERE = Path(__file__).parent
path.insert(0, str(HERE))
UNTITLED = HERE / "Untitled42.... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,141 | deathbeds/importnb | refs/heads/main | /src/importnb/entry_points.py | from .loader import Loader
from dataclasses import dataclass, field
from types import MethodType
from contextlib import contextmanager, ExitStack
def _get_importnb_entry_points():
try:
from importlib.metadata import entry_points
yield from entry_points()["importnb"]
except ModuleNotFoundError... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,142 | deathbeds/importnb | refs/heads/main | /docs/test_importnb.py | import ast
import inspect
import json
import linecache
import sys
from importlib import reload
from importlib.util import find_spec
from pathlib import Path
from shutil import copyfile, rmtree
from types import FunctionType
from pytest import fixture, mark, raises, skip
import importnb
from importnb import Notebook, ... | {"/src/importnb/loader.py": ["/src/importnb/__init__.py", "/src/importnb/decoder.py", "/src/importnb/docstrings.py", "/src/importnb/finder.py"], "/src/importnb/__init__.py": ["/src/importnb/loader.py", "/src/importnb/entry_points.py"], "/src/importnb/__main__.py": ["/src/importnb/__init__.py"], "/src/importnb/loaders.p... |
25,150 | j-f-st/bondlog | refs/heads/master | /boards/models.py | from django.db import models
from django.contrib.auth.models import User
from django.utils import timezone
from markdownx.models import MarkdownxField
from markdownx.utils import markdownify
#twitter表示用
class Post(models.Model):
# id = AutoField(primary_key=True) # 自動的に追加されるので定義不要
tweet_id = models.CharField... | {"/boards/admin.py": ["/boards/models.py"], "/boards/views.py": ["/boards/models.py", "/boards/forms.py"]} |
25,151 | j-f-st/bondlog | refs/heads/master | /boards/forms.py | from django import forms
class SearchForm(forms.Form):
keyword = forms.CharField(label='search', max_length=40) | {"/boards/admin.py": ["/boards/models.py"], "/boards/views.py": ["/boards/models.py", "/boards/forms.py"]} |
25,152 | j-f-st/bondlog | refs/heads/master | /boards/config.py | CONSUMER_KEY = ""
CONSUMER_SECRET =""
ACCESS_TOKEN =""
ACCESS_TOKEN_SECRET =""
TWITTER_USERNAME = ""
SECRET_KEY = "karikarikari" | {"/boards/admin.py": ["/boards/models.py"], "/boards/views.py": ["/boards/models.py", "/boards/forms.py"]} |
25,153 | j-f-st/bondlog | refs/heads/master | /boards/admin.py | from django.contrib import admin
#models機能利用
from .models import Post
admin.site.index_title = ''
class PostAdmin(admin.ModelAdmin):
list_display = ('tweet_id', 'tweet_words', 'tweet_date')
search_fields = ['tweet_words']
list_filter = ('tweet_date', 'blog_category', 'blog_tag')
list_per_page = 30
ordering = ['... | {"/boards/admin.py": ["/boards/models.py"], "/boards/views.py": ["/boards/models.py", "/boards/forms.py"]} |
25,154 | j-f-st/bondlog | refs/heads/master | /bondlog/urls.py | from django.contrib import admin
from django.urls import path, include
from django.conf.urls.static import static
from django.conf import settings
# views設定利用のための設定
from boards import views
urlpatterns = [
path('admin/', admin.site.urls),
#twitter取り込みかける(後adminへ)
path('gettweet', views.gettweet, name='gettw... | {"/boards/admin.py": ["/boards/models.py"], "/boards/views.py": ["/boards/models.py", "/boards/forms.py"]} |
25,155 | j-f-st/bondlog | refs/heads/master | /boards/views.py | from django.shortcuts import render, redirect, get_object_or_404
#twitter
from requests_oauthlib import OAuth1Session
import time, calendar
import datetime
import json
import re
import os
import requests
import sys, codecs
## デバッグフラグ ##
DEBUG = False
## ---------- ##
try:
from . import config
except ImportError:
pa... | {"/boards/admin.py": ["/boards/models.py"], "/boards/views.py": ["/boards/models.py", "/boards/forms.py"]} |
25,191 | dnelson27/NetworkMapper | refs/heads/master | /network_mapper.py | from datamodels import NetworkHop
from scapy.layers.inet import UDP, traceroute
import argparse
from sys import argv
from re import match
def mapRoute(dest: str):
result, err = traceroute(target=dest)
print(result, err)
def initializeArgparser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParse... | {"/network_mapper.py": ["/datamodels.py"]} |
25,192 | dnelson27/NetworkMapper | refs/heads/master | /datamodels.py | from neomodel import StructuredNode, RelationshipTo
from neomodel.properties import StringProperty, ArrayProperty, IntegerProperty, uuid
class Ipv4Address:
def __init__(self, ipAddress: str) -> None:
self.address = ipAddress.split("/")[0]
self.cidr = ipAddress.split("/")[1]
self.mask = self... | {"/network_mapper.py": ["/datamodels.py"]} |
25,204 | sebastiangarren/blogz | refs/heads/master | /main.py | from flask import Flask, request, redirect, render_template, flash, session, make_response
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
import cgi
from app import app, db
from models import Author, Blog_post
#Initialize Classes
#Global functions
#require login
@app.before_request
def require... | {"/main.py": ["/models.py"]} |
25,205 | sebastiangarren/blogz | refs/heads/master | /models.py | from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
from app import app, db
class Author(db.Model):
__tablename__ = 'author'
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(120))
password = db.Column(db.String(120))
def __init__(self,username,password... | {"/main.py": ["/models.py"]} |
25,283 | Malbec21/Social-Network | refs/heads/master | /socialnetwork/posts/management/commands/activate_bot.py | from django.core.management import BaseCommand
from ..bot.run import SocialNetworkBot
class Command(BaseCommand):
help = 'Object of this bot demonstrate functionalities of the system according to defined rules from settings.'
def handle(self, *args, **options):
try:
social_network_bot = ... | {"/socialnetwork/posts/management/commands/activate_bot.py": ["/socialnetwork/posts/management/bot/run.py"], "/socialnetwork/posts/serializers.py": ["/socialnetwork/posts/models.py"], "/socialnetwork/posts/api.py": ["/socialnetwork/posts/models.py", "/socialnetwork/posts/serializers.py"], "/socialnetwork/posts/urls.py"... |
25,284 | Malbec21/Social-Network | refs/heads/master | /socialnetwork/posts/management/bot/run.py | from random import randint
from uuid import uuid4
from posts.models import Post, User
from socialnetwork.settings import NUMBER_OF_USERS, MAX_POST_PER_USER, MAX_LIKES_PER_USER
class SocialNetworkBot:
def __init__(self):
self.number_of_users = NUMBER_OF_USERS
self.max_post_per_user = MAX_POST_PER_... | {"/socialnetwork/posts/management/commands/activate_bot.py": ["/socialnetwork/posts/management/bot/run.py"], "/socialnetwork/posts/serializers.py": ["/socialnetwork/posts/models.py"], "/socialnetwork/posts/api.py": ["/socialnetwork/posts/models.py", "/socialnetwork/posts/serializers.py"], "/socialnetwork/posts/urls.py"... |
25,285 | Malbec21/Social-Network | refs/heads/master | /socialnetwork/posts/migrations/0001_initial.py | # Generated by Django 3.1.7 on 2021-02-23 13:45
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | {"/socialnetwork/posts/management/commands/activate_bot.py": ["/socialnetwork/posts/management/bot/run.py"], "/socialnetwork/posts/serializers.py": ["/socialnetwork/posts/models.py"], "/socialnetwork/posts/api.py": ["/socialnetwork/posts/models.py", "/socialnetwork/posts/serializers.py"], "/socialnetwork/posts/urls.py"... |
25,286 | Malbec21/Social-Network | refs/heads/master | /socialnetwork/posts/serializers.py | from rest_framework import serializers
from .models import Post
# Post Serializer
class PostSerializer(serializers.ModelSerializer):
image = serializers.ImageField(required=False)
class Meta:
model = Post
fields = "__all__"
@staticmethod
def prepare_posts_response(serializer_data, u... | {"/socialnetwork/posts/management/commands/activate_bot.py": ["/socialnetwork/posts/management/bot/run.py"], "/socialnetwork/posts/serializers.py": ["/socialnetwork/posts/models.py"], "/socialnetwork/posts/api.py": ["/socialnetwork/posts/models.py", "/socialnetwork/posts/serializers.py"], "/socialnetwork/posts/urls.py"... |
25,287 | Malbec21/Social-Network | refs/heads/master | /socialnetwork/posts/api.py | from rest_framework import viewsets, permissions
from rest_framework.decorators import action
from rest_framework.response import Response
from .models import Post
from .serializers import PostSerializer
# Post ViewSet
class PostViewSet(viewsets.ModelViewSet):
queryset = Post.objects.all()
permission_classes... | {"/socialnetwork/posts/management/commands/activate_bot.py": ["/socialnetwork/posts/management/bot/run.py"], "/socialnetwork/posts/serializers.py": ["/socialnetwork/posts/models.py"], "/socialnetwork/posts/api.py": ["/socialnetwork/posts/models.py", "/socialnetwork/posts/serializers.py"], "/socialnetwork/posts/urls.py"... |
25,288 | Malbec21/Social-Network | refs/heads/master | /socialnetwork/posts/models.py | from django.contrib.auth.models import User
from django.db import models
class Post(models.Model):
title = models.CharField(max_length=100)
content = models.TextField()
image = models.ImageField(upload_to='posts_images', default='posts_images/default.png')
like_count = models.IntegerField(default=0)
... | {"/socialnetwork/posts/management/commands/activate_bot.py": ["/socialnetwork/posts/management/bot/run.py"], "/socialnetwork/posts/serializers.py": ["/socialnetwork/posts/models.py"], "/socialnetwork/posts/api.py": ["/socialnetwork/posts/models.py", "/socialnetwork/posts/serializers.py"], "/socialnetwork/posts/urls.py"... |
25,289 | Malbec21/Social-Network | refs/heads/master | /socialnetwork/posts/urls.py | from django.urls import path, include
from rest_framework import routers
from .api import PostViewSet
router = routers.DefaultRouter()
router.register('api/posts', PostViewSet, 'posts')
urlpatterns = [
path('', include(router.urls)),
]
| {"/socialnetwork/posts/management/commands/activate_bot.py": ["/socialnetwork/posts/management/bot/run.py"], "/socialnetwork/posts/serializers.py": ["/socialnetwork/posts/models.py"], "/socialnetwork/posts/api.py": ["/socialnetwork/posts/models.py", "/socialnetwork/posts/serializers.py"], "/socialnetwork/posts/urls.py"... |
25,297 | mksmtn/test_job | refs/heads/master | /src/Math.py | from decimal import Decimal, ROUND_DOWN, ROUND_UP
from typing import Iterable, List, Tuple
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import numpy as np
from src.Data import Data
# Type aliases
Value = float
Coordinates = Tuple[int, int]
Distance = Tuple[Value, Coordinates]
# End Type ali... | {"/src/Math.py": ["/src/Data.py"], "/tests/test_data.py": ["/src/Config.py", "/src/Data.py"], "/tests/test_math.py": ["/src/Data.py", "/src/Math.py"], "/src/Data.py": ["/src/Config.py"], "/main.py": ["/src/Config.py", "/src/Data.py", "/src/Math.py"]} |
25,298 | mksmtn/test_job | refs/heads/master | /tests/test_data.py | import os
import unittest
from random import randint
from src.Config import Config
from src.Data import Data
class TestData(unittest.TestCase):
r = randint(0, 99999999)
file = str(r) + '_test.csv'
nrows = 999
ncols = 49
min_border = -1.0
max_border = 1.0
config = Config(
file=file... | {"/src/Math.py": ["/src/Data.py"], "/tests/test_data.py": ["/src/Config.py", "/src/Data.py"], "/tests/test_math.py": ["/src/Data.py", "/src/Math.py"], "/src/Data.py": ["/src/Config.py"], "/main.py": ["/src/Config.py", "/src/Data.py", "/src/Math.py"]} |
25,299 | mksmtn/test_job | refs/heads/master | /src/Config.py | class Config:
"""Holds some project-related variables"""
def __init__(self, file: str, nrows: int, ncols: int):
"""
:param file: Name of CSV file to write numbers
:param nrows: Number of rows in the generated CSV file
:param ncols: Number of columns in the generated CSV file
... | {"/src/Math.py": ["/src/Data.py"], "/tests/test_data.py": ["/src/Config.py", "/src/Data.py"], "/tests/test_math.py": ["/src/Data.py", "/src/Math.py"], "/src/Data.py": ["/src/Config.py"], "/main.py": ["/src/Config.py", "/src/Data.py", "/src/Math.py"]} |
25,300 | mksmtn/test_job | refs/heads/master | /tests/test_math.py | from decimal import Decimal
from typing import List
import math
import unittest
from src.Data import Data
from src.Math import EuclideanDistance
class TestEuclideanDistance(unittest.TestCase):
def setUp(self) -> None:
self._data = Data(file='tests/test_vectors.csv')
self._euclidean_distance = Eu... | {"/src/Math.py": ["/src/Data.py"], "/tests/test_data.py": ["/src/Config.py", "/src/Data.py"], "/tests/test_math.py": ["/src/Data.py", "/src/Math.py"], "/src/Data.py": ["/src/Config.py"], "/main.py": ["/src/Config.py", "/src/Data.py", "/src/Math.py"]} |
25,301 | mksmtn/test_job | refs/heads/master | /src/Data.py | import numpy as np
import pandas as pd
from src.Config import Config
class Data:
"""Vectors' data from CSV file"""
_bothProvidedMsg = 'Either `config` or `file` argument should be provided, but not both'
_noneProvidedMsg = 'Neither `config` nor `file` argument is provided'
@staticmethod
def gen... | {"/src/Math.py": ["/src/Data.py"], "/tests/test_data.py": ["/src/Config.py", "/src/Data.py"], "/tests/test_math.py": ["/src/Data.py", "/src/Math.py"], "/src/Data.py": ["/src/Config.py"], "/main.py": ["/src/Config.py", "/src/Data.py", "/src/Math.py"]} |
25,302 | mksmtn/test_job | refs/heads/master | /main.py | from sys import argv
from decimal import Decimal
from src.Config import Config
from src.Data import Data
from src.Math import EuclideanDistance
def main(args):
file = 'examples/vectors.csv'
if args[1] == 'g':
if len(args) == 4:
nrows = int(args[2])
ncols = int(args[3])
... | {"/src/Math.py": ["/src/Data.py"], "/tests/test_data.py": ["/src/Config.py", "/src/Data.py"], "/tests/test_math.py": ["/src/Data.py", "/src/Math.py"], "/src/Data.py": ["/src/Config.py"], "/main.py": ["/src/Config.py", "/src/Data.py", "/src/Math.py"]} |
25,306 | tweenty247/CompleteWebside | refs/heads/master | /Web_Laundry/migrations/0002_remove_formnames_subject.py | # Generated by Django 3.1.2 on 2020-10-03 07:18
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('Web_Laundry', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='formnames',
name='subject',
),
... | {"/Web_Laundry/admin.py": ["/Web_Laundry/models.py"], "/Web_Laundry/views.py": ["/Web_Laundry/forms.py"], "/Web_Laundry/forms.py": ["/Web_Laundry/models.py"]} |
25,307 | tweenty247/CompleteWebside | refs/heads/master | /Web_Laundry/admin.py | from django.contrib import admin
from .models import FormNames, AppointmentSection, SubscribeForm
admin.site.register(FormNames)
admin.site.register(AppointmentSection)
admin.site.register(SubscribeForm)
| {"/Web_Laundry/admin.py": ["/Web_Laundry/models.py"], "/Web_Laundry/views.py": ["/Web_Laundry/forms.py"], "/Web_Laundry/forms.py": ["/Web_Laundry/models.py"]} |
25,308 | tweenty247/CompleteWebside | refs/heads/master | /Web_Laundry/migrations/0005_auto_20201004_0024.py | # Generated by Django 3.1.2 on 2020-10-03 23:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Web_Laundry', '0004_subscribtionmodel'),
]
operations = [
migrations.CreateModel(
name='AppointmentSection',
fields=... | {"/Web_Laundry/admin.py": ["/Web_Laundry/models.py"], "/Web_Laundry/views.py": ["/Web_Laundry/forms.py"], "/Web_Laundry/forms.py": ["/Web_Laundry/models.py"]} |
25,309 | tweenty247/CompleteWebside | refs/heads/master | /Web_Laundry/views.py | from django.shortcuts import render, redirect
from .forms import ModelFormNames, AppointmentSectionFormNames, ModalSubscribeForm
from django.contrib import messages
def index(request):
if request.method == 'POST':
form = AppointmentSectionFormNames(request.POST)
if form.is_valid():
for... | {"/Web_Laundry/admin.py": ["/Web_Laundry/models.py"], "/Web_Laundry/views.py": ["/Web_Laundry/forms.py"], "/Web_Laundry/forms.py": ["/Web_Laundry/models.py"]} |
25,310 | tweenty247/CompleteWebside | refs/heads/master | /Web_Laundry/models.py | from django.db import models
class FormNames(models.Model):
name = models.CharField(max_length=200)
email = models.EmailField()
number = models.IntegerField(default=1234567)
message = models.TextField()
def __str__(self):
return self.name
class AppointmentSection(models.Model):
name... | {"/Web_Laundry/admin.py": ["/Web_Laundry/models.py"], "/Web_Laundry/views.py": ["/Web_Laundry/forms.py"], "/Web_Laundry/forms.py": ["/Web_Laundry/models.py"]} |
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