index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
5,489 | damian-villarreal/CoinsApi | refs/heads/main | /app/__init__.py | from flask import Flask
from config import Config
from flask_mongoengine import MongoEngine
from flask_login import LoginManager
from flask_restful import Api
from flask_cors import CORS
app = Flask(__name__)
app.config.from_object(Config)
api = Api(app)
login = LoginManager(app)
db = MongoEngine(app)
CORS(app)
from... | {"/app/__init__.py": ["/config.py"], "/app/routes.py": ["/app/__init__.py", "/app/resources.py"], "/app/models.py": ["/app/__init__.py"], "/app/resources.py": ["/app/models.py"]} |
5,490 | damian-villarreal/CoinsApi | refs/heads/main | /app/routes.py | from werkzeug.utils import redirect
from app import api
from .resources import *
api.add_resource(Home, '/')
api.add_resource(Redirect, '/redirect')
api.add_resource(CoinsApi, '/api/coins')
api.add_resource(CoinApi, '/api/coin/<id>','/api/coin')
api.add_resource(UsersApi, '/api/users')
api.add_resource(UserApi, '/a... | {"/app/__init__.py": ["/config.py"], "/app/routes.py": ["/app/__init__.py", "/app/resources.py"], "/app/models.py": ["/app/__init__.py"], "/app/resources.py": ["/app/models.py"]} |
5,491 | damian-villarreal/CoinsApi | refs/heads/main | /app/models.py | from app import db
import datetime
from flask_bcrypt import generate_password_hash, check_password_hash
from flask_login import UserMixin
from app import login
class User(UserMixin, db.Document):
email = db.EmailField(required=True, unique=True)
password = db.StringField(required=True, min_length=6)
ro... | {"/app/__init__.py": ["/config.py"], "/app/routes.py": ["/app/__init__.py", "/app/resources.py"], "/app/models.py": ["/app/__init__.py"], "/app/resources.py": ["/app/models.py"]} |
5,492 | damian-villarreal/CoinsApi | refs/heads/main | /app/resources.py |
from flask_login.utils import login_required
from flask_restful import Resource
from flask import Response, request, jsonify, redirect, url_for
from flask_login import current_user, login_user, logout_user
from werkzeug.utils import redirect
from .models import Coin, Account, User, Transaction
class Home(Resource):
... | {"/app/__init__.py": ["/config.py"], "/app/routes.py": ["/app/__init__.py", "/app/resources.py"], "/app/models.py": ["/app/__init__.py"], "/app/resources.py": ["/app/models.py"]} |
5,493 | damian-villarreal/CoinsApi | refs/heads/main | /config.py | import os
class Config(object):
SECRET_KEY = 'MbXCJXAW9PHIMJnYc87E9yT_T-Bxbd6zDpuKWg'
MONGODB_SETTINGS = {'host': 'mongodb+srv://admin:root@coins.zw6ys.mongodb.net/Coins?retryWrites=true&w=majority'}
JSON_SORT_KEYS = False
| {"/app/__init__.py": ["/config.py"], "/app/routes.py": ["/app/__init__.py", "/app/resources.py"], "/app/models.py": ["/app/__init__.py"], "/app/resources.py": ["/app/models.py"]} |
5,494 | RALF34/McGyver_Game | refs/heads/master | /classes_and_methods.py | """classes for McGyver game"""
import pygame
import random
from pygame.locals import *
from constants import *
class Labyrinth :
def __init__(self, code_file):
self.code_file = code_file
self.position_tools = {'ether':(0,0), 'tube':(0,0), 'needle':(0,0)}
def display_game(self,position_mcgyver,screen):
"""M... | {"/classes_and_methods.py": ["/constants.py"], "/McGyver_game.py": ["/classes.py", "/constants.py"], "/classes.py": ["/constants.py"]} |
5,495 | RALF34/McGyver_Game | refs/heads/master | /Labyrinth _game.py | """classes for McGyver game"""
import pygame, random
from pygame.locals import *
from constantes import *
class Labyrinth :
def __init__(self, code_file):
self.code_file = code_file
self.position_tools = ((0,0),(0,0),(0,0))
def display_laby(self):
"""Method to display the labyrinth"""
pygame.init()
sc... | {"/classes_and_methods.py": ["/constants.py"], "/McGyver_game.py": ["/classes.py", "/constants.py"], "/classes.py": ["/constants.py"]} |
5,496 | RALF34/McGyver_Game | refs/heads/master | /McGyver_game.py | """
Game "Trapped in the labyrinthe"
McGyver has to collect three objects and reach the exit of the labyrinthe
Python script
Fichiers : ,McGyver_game.py, classes.py, constants.py, struct_laby.txt
"""
import pygame
from pygame.locals import *
from classes import *
from constants import *
pygame.init()
screen = py... | {"/classes_and_methods.py": ["/constants.py"], "/McGyver_game.py": ["/classes.py", "/constants.py"], "/classes.py": ["/constants.py"]} |
5,497 | RALF34/McGyver_Game | refs/heads/master | /classes.py | """classes for McGyver game"""
import pygame
import random
from pygame.locals import *
from constants import *
class Labyrinth:
def __init__(self, code_file):
"""File coding the structure of the labyrinth """
self.code_file = code_file
"""Dictionnary containing the three objects as keys
... | {"/classes_and_methods.py": ["/constants.py"], "/McGyver_game.py": ["/classes.py", "/constants.py"], "/classes.py": ["/constants.py"]} |
5,498 | RALF34/McGyver_Game | refs/heads/master | /constants.py | nbr_cells_on_board = 15
lenght_cell = 45
| {"/classes_and_methods.py": ["/constants.py"], "/McGyver_game.py": ["/classes.py", "/constants.py"], "/classes.py": ["/constants.py"]} |
5,499 | dera1992/biosec | refs/heads/main | /home/models.py | from django.db import models
from simple_history.models import HistoricalRecords
# Create your models here.
# the model for the operation is created here.
class Employee(models.Model):
id=models.AutoField(primary_key=True)
name=models.CharField(max_length=255)
phone=models.CharField(max_length=255)
ag... | {"/home/views.py": ["/home/models.py", "/home/serializers.py"], "/home/serializers.py": ["/home/models.py"]} |
5,500 | dera1992/biosec | refs/heads/main | /home/urls.py | from django.urls import path, include
from rest_framework import routers
from . import views
app_name = 'home'
router=routers.DefaultRouter()
router.register("employee",views.EmployeeViewset,basename="employee")
urlpatterns = [
path('api/',include(router.urls)),
path('api/archive/<str:pk>', views.archive, n... | {"/home/views.py": ["/home/models.py", "/home/serializers.py"], "/home/serializers.py": ["/home/models.py"]} |
5,501 | dera1992/biosec | refs/heads/main | /home/views.py | from rest_framework import viewsets, generics
from rest_framework.response import Response
from rest_framework.generics import get_object_or_404
from home.models import Employee
from home.serializers import EmployeeSerializer
from rest_framework.decorators import api_view
#Employee Class Base Viewset for create,r... | {"/home/views.py": ["/home/models.py", "/home/serializers.py"], "/home/serializers.py": ["/home/models.py"]} |
5,502 | dera1992/biosec | refs/heads/main | /home/migrations/0004_auto_20210407_0410.py | # Generated by Django 3.2 on 2021-04-07 03:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0003_historicalemployee'),
]
operations = [
migrations.AddField(
model_name='employee',
name='email',
... | {"/home/views.py": ["/home/models.py", "/home/serializers.py"], "/home/serializers.py": ["/home/models.py"]} |
5,503 | dera1992/biosec | refs/heads/main | /home/serializers.py | from rest_framework import serializers
from home.models import Employee
#The employee serializer is done here for json generation
class EmployeeSerializer(serializers.ModelSerializer):
class Meta:
model=Employee
fields="__all__"
| {"/home/views.py": ["/home/models.py", "/home/serializers.py"], "/home/serializers.py": ["/home/models.py"]} |
5,504 | dera1992/biosec | refs/heads/main | /home/migrations/0005_auto_20210407_0427.py | # Generated by Django 3.2 on 2021-04-07 03:27
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('home', '0004_auto_20210407_0410'),
]
operations = [
migrations.RemoveField(
model_name='employee',
name='joining_date',
... | {"/home/views.py": ["/home/models.py", "/home/serializers.py"], "/home/serializers.py": ["/home/models.py"]} |
5,505 | leighsix/CompetitionPycharm | refs/heads/master | /InterconnectedDynamics.py | import numpy as np
import networkx as nx
import Setting_Simulation_Value
import OpinionDynamics
import DecisionDynamics
import MakingPandas
import InterconnectedLayerModeling
import matplotlib
import time
matplotlib.use("Agg")
class InterconnectedDynamics:
def __init__(self):
self.opinion = OpinionDynamic... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,506 | leighsix/CompetitionPycharm | refs/heads/master | /AnalysisDB.py | import Setting_Simulation_Value
import sqlalchemy
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from sympy import *
import SelectDB
import seaborn as sns
from mpl_toolkits.mplot3d.axes3d import *
matplotlib.use("TkAgg")
class AnalysisDB:
def __init__(self):
self.... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,507 | leighsix/CompetitionPycharm | refs/heads/master | /Layer_B_Modeling.py | import networkx as nx
import numpy as np
import pandas as pd
import random
import Setting_Simulation_Value
import math
## B layer : B, B_edges
class Layer_B_Modeling:
def __init__(self, setting):
self.B_edges = self.B_layer_config(setting)
self.B_node_info = self.making_node_info()
self.G_... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,508 | leighsix/CompetitionPycharm | refs/heads/master | /OpinionDynamics.py | import random
import Setting_Simulation_Value
import InterconnectedLayerModeling
import time
import math
import networkx as nx
import numpy as np
class OpinionDynamics:
def __init__(self):
self.A_COUNT = 0
def A_layer_dynamics(self, setting, inter_layer, gamma): # A_layer 다이내믹스, 감마 적용 및 설득/타협 알고리즘 적... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,509 | leighsix/CompetitionPycharm | refs/heads/master | /DB_Management.py | import mysql.connector
class DB_Management:
def drop_duplicate_row(self, setting):
creating_intermediate_table = ('''
CREATE TABLE %s_copy LIKE %s;''' % (setting.table, setting.table))
insert_to_intermediate_table = ('''
INSERT INTO %s_copy
... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,510 | leighsix/CompetitionPycharm | refs/heads/master | /Interconnected_Network_Visualization.py | from pymnet import *
import matplotlib.pyplot as plt
import Setting_Simulation_Value
import InterconnectedLayerModeling
from mpl_toolkits.mplot3d.axes3d import *
import matplotlib.animation as animation
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.image import imread
... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,511 | leighsix/CompetitionPycharm | refs/heads/master | /RepeatDynamics.py | import numpy as np
import Setting_Simulation_Value
import InterconnectedDynamics
import InterconnectedLayerModeling
import MakingPandas
import time
class RepeatDynamics:
def __init__(self):
self.inter_dynamics = InterconnectedDynamics.InterconnectedDynamics()
self.mp = MakingPandas.MakingPandas()
... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,512 | leighsix/CompetitionPycharm | refs/heads/master | /MyWindow.py | import sys
from pymnet import *
import InterconnectedLayerModeling
from Setting_Simulation_Value import *
import Layer_A_Modeling
import Layer_B_Modeling
import Changing_Variable
import Visualization
import Interconnected_Network_Visualization
import DB_Management
import SelectDB
import seaborn as sns
import pandas as ... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,513 | leighsix/CompetitionPycharm | refs/heads/master | /MakingPandas.py | import pandas as pd
import numpy as np
import InterconnectedLayerModeling
import Setting_Simulation_Value
class MakingPandas:
def making_dataframe_per_step(self, setting, value_array):
columns = ['gamma', 'beta', 'prob_beta', 'persuasion', 'compromise',
'A_plus', 'A_minus', 'B_plus', 'B... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,514 | leighsix/CompetitionPycharm | refs/heads/master | /UsingGPU.py | import math
from numba import vectorize, cuda
import numpy as np
from numba import guvectorize
@vectorize(['float32(float32, float32)', 'float64(float64, float64)'], target='cuda')
def gpu_sincos(x, y):
return math.sin(x) * math.cos(y)
result = gpu_sincos(3.0, 4.0)
print(result)
@guvectorize(..., target='cuda... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,515 | leighsix/CompetitionPycharm | refs/heads/master | /InterconnectedLayerModeling.py | import networkx as nx
import numpy as np
import pandas as pd
import random
import matplotlib.pyplot as plt
import matplotlib
import Setting_Simulation_Value
matplotlib.use("TkAgg")
class InterconnectedLayerModeling:
def __init__(self, setting):
A_edges_array = self.A_layer_config(setting)
self.A_ed... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,516 | leighsix/CompetitionPycharm | refs/heads/master | /VisualizationNew.py | import SelectDB
import numpy as np
import Setting_Simulation_Value
import matplotlib.pyplot as plt
import matplotlib
import seaborn as sns
import pandas as pd
from sympy import *
from matplotlib import cycler
from mpl_toolkits.mplot3d.axes3d import *
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as F... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,517 | leighsix/CompetitionPycharm | refs/heads/master | /MakingMovie.py | import Setting_Simulation_Value
import Interconnected_Network_Visualization
import numpy as np
from IPython.display import display, HTML
import matplotlib.pyplot as plt
from matplotlib import animation
from mpl_toolkits.mplot3d.axes3d import *
from sympy import *
import Layer_A_Modeling
import Layer_B_Modeling
class ... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,518 | leighsix/CompetitionPycharm | refs/heads/master | /DecisionDynamics.py | import random
import time
import numpy as np
import Setting_Simulation_Value
import InterconnectedLayerModeling
import networkx as nx
class DecisionDynamics:
def __init__(self):
self.B_COUNT = 0
def B_layer_dynamics(self, setting, inter_layer, beta): # B_layer 다이내믹스, 베타 적용 및 언어데스 알고리즘 적용
prob... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,519 | leighsix/CompetitionPycharm | refs/heads/master | /UI.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'C:\Users\Purple\CompetingLayer\mainwindow.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(s... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,520 | leighsix/CompetitionPycharm | refs/heads/master | /Layer_A_Modeling.py | import networkx as nx
import numpy as np
import pandas as pd
import random
import math
import Setting_Simulation_Value
## A layer Modeling : A, A_edges, AB_edges, AB_neighbor
class Layer_A_Modeling():
def __init__(self, setting):
# network : 1 = random regular graph 2 = barabasi-albert graph
A_e... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,521 | leighsix/CompetitionPycharm | refs/heads/master | /Setting_Simulation_Value.py | import numpy as np
import math
import random
class Setting_Simulation_Value:
def __init__(self):
self.database = 'paper_revised_data' # 'competition renew_competition'
self.table = 'simulation_table4'
self.MODEL = 'BA-BA' #'RR(2)-RR(5), 'BA-BA', 'BA-RR(5)', 'RR(5)-BA', 'RR(10)-BA'
... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,522 | leighsix/CompetitionPycharm | refs/heads/master | /Visualization.py | import SelectDB
import numpy as np
import Setting_Simulation_Value
import matplotlib.pyplot as plt
import matplotlib
import seaborn as sns
import pandas as pd
from sympy import *
from mpl_toolkits.mplot3d.axes3d import *
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from numba import ... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,523 | leighsix/CompetitionPycharm | refs/heads/master | /Changing_Variable.py | import Setting_Simulation_Value
import RepeatDynamics
import sqlalchemy
from multiprocessing import Pool
from concurrent import futures
from tqdm import tqdm
class Changing_Variable:
def __init__(self):
self.repeat_dynamics = RepeatDynamics.RepeatDynamics()
def many_execute_for_simulation(self, sett... | {"/InterconnectedDynamics.py": ["/Setting_Simulation_Value.py", "/OpinionDynamics.py", "/DecisionDynamics.py", "/MakingPandas.py", "/InterconnectedLayerModeling.py"], "/AnalysisDB.py": ["/Setting_Simulation_Value.py"], "/Layer_B_Modeling.py": ["/Setting_Simulation_Value.py"], "/OpinionDynamics.py": ["/Setting_Simulatio... |
5,527 | pratham-pay/Dockertest | refs/heads/master | /main_code.py | import json
import pandas as pd
from datetime import datetime
import re
import numpy as np
VALID_ACCOUNT_TYPES = {
123: "Personal Loan"
}
def parse(json_obj):
out_dict = {}
for customer_id, account_list in json_obj.items():
out_list = []
if account_list:
account_list = json.l... | {"/api_code.py": ["/main_code.py"]} |
5,528 | pratham-pay/Dockertest | refs/heads/master | /api_code.py | import flask
from flask import request
from main_code import parse
app= flask.Flask(__name__)
app.config["DEBUG"]=True
@app.route('/', methods=['POST', 'GET'])
def api_method():
if request.is_json:
return parse(request.get_json())
else:
print(request)
return "Input not right"
app.run... | {"/api_code.py": ["/main_code.py"]} |
5,529 | peulsilva/fourth_sail | refs/heads/main | /utils.py | def exists(char, array):
for element in array:
if element.char == char:
element.addCounter()
return True
return False
def printArray(array):
for element in array:
print("Letter: "+ element.char+ " Count: ", element.count) | {"/main.py": ["/CharObject.py", "/utils.py"]} |
5,530 | peulsilva/fourth_sail | refs/heads/main | /CharObject.py | class CharObject:
def __init__(self, char):
self.char = char
self.count = 1
def addCounter(self):
self.count+=1
| {"/main.py": ["/CharObject.py", "/utils.py"]} |
5,531 | peulsilva/fourth_sail | refs/heads/main | /main.py | # Given an array which may contain duplicates, print all elements and their frequencies in descending order.
# Your code solution should be sent to the result printed.
from CharObject import CharObject
from utils import exists, printArray
sep= ' '
fileName= "textFile.txt"
file = open(fileName,"r")
line = file.read... | {"/main.py": ["/CharObject.py", "/utils.py"]} |
5,533 | pranavg000/Social-Network-Django | refs/heads/master | /Social Network/core/forms.py | from django.contrib.auth.models import User
from django import forms
from .models import Profile,Post,Comment
class UserForm(forms.ModelForm):
password = forms.CharField(widget=forms.PasswordInput)
email = forms.EmailField(max_length=254, help_text='Required field')
class Meta:
model = User
fields = ['username'... | {"/Social Network/core/forms.py": ["/Social Network/core/models.py"], "/Social Network/core/views.py": ["/Social Network/core/forms.py", "/Social Network/core/models.py"], "/Social Network/core/admin.py": ["/Social Network/core/models.py"]} |
5,534 | pranavg000/Social-Network-Django | refs/heads/master | /Social Network/core/views.py | from django.shortcuts import render,redirect
from django.views import generic
from django.views.generic import View
from django.views.generic.edit import CreateView,UpdateView,DeleteView
from .forms import UserForm,UpdateUserForm,UpdateProfileForm,CreatePost,CreateComment
from django.http import HttpResponse
from djan... | {"/Social Network/core/forms.py": ["/Social Network/core/models.py"], "/Social Network/core/views.py": ["/Social Network/core/forms.py", "/Social Network/core/models.py"], "/Social Network/core/admin.py": ["/Social Network/core/models.py"]} |
5,535 | pranavg000/Social-Network-Django | refs/heads/master | /Social Network/core/models.py | from django.db import models
from django.contrib.auth.models import User
class Profile(models.Model):
user = models.OneToOneField(User, on_delete= models.CASCADE)
profile_photo = models.FileField(default='default.jpg', upload_to='profile_photos')
status_info = models.CharField(default="Enter status", max_length=10... | {"/Social Network/core/forms.py": ["/Social Network/core/models.py"], "/Social Network/core/views.py": ["/Social Network/core/forms.py", "/Social Network/core/models.py"], "/Social Network/core/admin.py": ["/Social Network/core/models.py"]} |
5,536 | pranavg000/Social-Network-Django | refs/heads/master | /Social Network/core/admin.py | from django.contrib import admin
from .models import Profile,Following,Follower,Post,Comment
admin.site.register(Profile)
admin.site.register(Follower)
admin.site.register(Following)
admin.site.register(Post)
admin.site.register(Comment)
| {"/Social Network/core/forms.py": ["/Social Network/core/models.py"], "/Social Network/core/views.py": ["/Social Network/core/forms.py", "/Social Network/core/models.py"], "/Social Network/core/admin.py": ["/Social Network/core/models.py"]} |
5,537 | pranavg000/Social-Network-Django | refs/heads/master | /Social Network/SocialNetwork/urls.py | from django.contrib import admin
from django.urls import path,include
from django.contrib.auth import views as auth_views
from core import views as user_views
from django.contrib.auth.decorators import login_required
from django.conf import settings
from django.conf.urls.static import static
from django.conf.urls impor... | {"/Social Network/core/forms.py": ["/Social Network/core/models.py"], "/Social Network/core/views.py": ["/Social Network/core/forms.py", "/Social Network/core/models.py"], "/Social Network/core/admin.py": ["/Social Network/core/models.py"]} |
5,538 | pranavg000/Social-Network-Django | refs/heads/master | /Social Network/core/migrations/0001_initial.py | # Generated by Django 2.1.5 on 2019-03-03 06:29
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... | {"/Social Network/core/forms.py": ["/Social Network/core/models.py"], "/Social Network/core/views.py": ["/Social Network/core/forms.py", "/Social Network/core/models.py"], "/Social Network/core/admin.py": ["/Social Network/core/models.py"]} |
5,544 | viraatdas/Deep-tic-tac-toe | refs/heads/master | /Games.py | import numpy as np
class Game:
def __init__(self,num_rows, num_cols, action_space, obs_space):
self.num_rows = num_rows
self.num_cols = num_cols
self.action_space = action_space
self.obs_space = obs_space
def board2array(self):
new_board = np.zeros(self.... | {"/gui.py": ["/main.py", "/const.py"], "/nn.py": ["/const.py"], "/const.py": ["/Games.py", "/File_storage.py"], "/main.py": ["/File_storage.py", "/nn.py", "/Games.py", "/const.py", "/gui.py"]} |
5,545 | viraatdas/Deep-tic-tac-toe | refs/heads/master | /gui.py | from tkinter import *
from main import *
import const
class tile(Button):
def __init__(self,id,mainframe):
self.name = str(id)
super().__init__(mainframe,
text = " ",
height = 3,
width = 7,
... | {"/gui.py": ["/main.py", "/const.py"], "/nn.py": ["/const.py"], "/const.py": ["/Games.py", "/File_storage.py"], "/main.py": ["/File_storage.py", "/nn.py", "/Games.py", "/const.py", "/gui.py"]} |
5,546 | viraatdas/Deep-tic-tac-toe | refs/heads/master | /File_storage.py | import os
import pickle
def save_mct(mct):
mct_filename = "mct.txt"
with open(mct_filename, "wb") as fp: #Pickling
pickle.dump(mct, fp)
print("Monte Carlo Tree saved correctly")
def load_mct():
mct_filename = "mct.txt"
if os.path.isfile(mct_filename):
# load existing ... | {"/gui.py": ["/main.py", "/const.py"], "/nn.py": ["/const.py"], "/const.py": ["/Games.py", "/File_storage.py"], "/main.py": ["/File_storage.py", "/nn.py", "/Games.py", "/const.py", "/gui.py"]} |
5,547 | viraatdas/Deep-tic-tac-toe | refs/heads/master | /nn.py | """
Neural network
Made by Lorenzo Mambretti
"""
import tensorflow as tf
from tensorflow import keras
print("tensorflow: ",tf.__version__)
import numpy as np
import random
import const
class NN:
"""
INPUT LAYER
27 neurons
"""
x = tf.placeholder(tf.float32,[None, 27], name=... | {"/gui.py": ["/main.py", "/const.py"], "/nn.py": ["/const.py"], "/const.py": ["/Games.py", "/File_storage.py"], "/main.py": ["/File_storage.py", "/nn.py", "/Games.py", "/const.py", "/gui.py"]} |
5,548 | viraatdas/Deep-tic-tac-toe | refs/heads/master | /const.py | import os
from Games import TicTacToe
from File_storage import *
EPSILON = 0.1
SANITY_CHECK = True
cwd = os.getcwd()
cwd = cwd + '\\tensorflow_logs'
def init():
# create game
global game
game = TicTacToe()
# initialize Monte Carlo tree
global mct
mct = load_mct()
if mct =... | {"/gui.py": ["/main.py", "/const.py"], "/nn.py": ["/const.py"], "/const.py": ["/Games.py", "/File_storage.py"], "/main.py": ["/File_storage.py", "/nn.py", "/Games.py", "/const.py", "/gui.py"]} |
5,549 | viraatdas/Deep-tic-tac-toe | refs/heads/master | /dd_ttt.py | """
Self-learning Tic Tac Toe
Made by Lorenzo Mambretti and Hariharan Sezhiyan
"""
import random
import numpy as np
import tensorflow as tf
import time
import datetime
class State:
board = np.zeros((3,3))
terminal = False
def is_valid(action, state):
if state.board[int(np.floor(action / 3))][action % 3] !... | {"/gui.py": ["/main.py", "/const.py"], "/nn.py": ["/const.py"], "/const.py": ["/Games.py", "/File_storage.py"], "/main.py": ["/File_storage.py", "/nn.py", "/Games.py", "/const.py", "/gui.py"]} |
5,550 | viraatdas/Deep-tic-tac-toe | refs/heads/master | /main.py | """
Self-learning Tic Tac Toe
Made by Lorenzo Mambretti
Last Update: 8/10/2018 11:38 AM (Lorenzo)
"""
import random
import numpy as np
import progressbar
from File_storage import *
from nn import NN
from Games import *
import const
import math
import tensorflow as tf
import argparse
class Node:
... | {"/gui.py": ["/main.py", "/const.py"], "/nn.py": ["/const.py"], "/const.py": ["/Games.py", "/File_storage.py"], "/main.py": ["/File_storage.py", "/nn.py", "/Games.py", "/const.py", "/gui.py"]} |
5,551 | viraatdas/Deep-tic-tac-toe | refs/heads/master | /ttt.py | """
Self-learning Tic Tac Toe
Made by Lorenzo Mambretti and Hariharan Sezhiyan
"""
import random
import numpy as np
import tensorflow as tf
class State:
board = np.zeros((3,3))
terminal = False
def is_valid(action, state):
if state.board[int(np.floor(action / 3))][action % 3] != 0:
return False
... | {"/gui.py": ["/main.py", "/const.py"], "/nn.py": ["/const.py"], "/const.py": ["/Games.py", "/File_storage.py"], "/main.py": ["/File_storage.py", "/nn.py", "/Games.py", "/const.py", "/gui.py"]} |
5,563 | ZhouYii/NE_Recognizer | refs/heads/master | /state.py | from document import Document
from helper import *
from os import listdir
import pickle
import re
from NE_Recognizer import NE_Recognizer
from nltk import word_tokenize
from os.path import isfile, join
class State :
def __init__(self) :
self.corpus = []
#self.add_corpus("text_extracted")
se... | {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,564 | ZhouYii/NE_Recognizer | refs/heads/master | /load.py | import pickle
ner = pickle.load(open("ne_r.pickle", "rb"))
print ner
| {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,565 | ZhouYii/NE_Recognizer | refs/heads/master | /nameentity.py | from helper import *
from scorable import Scorable
class NameEntity(Scorable) :
def __init__(self, tok_tuple, is_seed=False) :
Scorable.__init__(self)
self.name = tok_tuple
self.mined_rules = None
def init_seed(self, type) :
self.is_seed = True
self.total = 1
... | {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,566 | ZhouYii/NE_Recognizer | refs/heads/master | /RuleFactory.py | '''
Rule Factory Singleton
'''
from rule import Rule
def make_rule() :
r = Rule()
return r
| {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,567 | ZhouYii/NE_Recognizer | refs/heads/master | /state2.py | '''
Implementation of State singleton
'''
import ConfigParser
from os import listdir
from helper import *
import re
import RuleFactory
from document import Document
from nameentity import NameEntity
from os.path import isfile, join
import pickle
from nltk import word_tokenize
cfg = ConfigParser.ConfigParser()
cfg.rea... | {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,568 | ZhouYii/NE_Recognizer | refs/heads/master | /ner_old.py | from os import listdir
#from textblob import TextBlob
import re
from os.path import isfile, join
INPUT = "Raw"
LABELS = ["PER", "LOC", "ORG"]
#PARAMETERS
prom_thresh = 0.5 #To check if a rule is promoted or not
CORPUS = []
#DICTIONARIES
PER_DICT = []
ORG_DICT = []
LOC_DICT = []
#PROMOTED RULES
RULES = []
#CANDIDATE R... | {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,569 | ZhouYii/NE_Recognizer | refs/heads/master | /scorable.py | from helper import *
class Scorable :
def __init__(self) :
self.is_seed = False
self.dictionary = dict()
# Max : (max score, type responsible)
self.max_type = None
self.max_stale = True
self.total = 0.0
for t in get_types() :
self.dictionary[t] =... | {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,570 | ZhouYii/NE_Recognizer | refs/heads/master | /rule.py | from helper import *
import state2
from scorable import *
class Rule(Scorable) :
def __init__(self, fwd=None, rev=None) :
''' Sets all parameters to None, to distinguish between never-set and
set-to-empty '''
Scorable.__init__(self)
self.found_by = set()
self.fwd_window = f... | {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,571 | ZhouYii/NE_Recognizer | refs/heads/master | /run.py | import state2
def mine_rules() :
result_set = set()
for doc in state2.corpus :
for ne in state2.promoted_ne :
ne_obj = state2.get_ne_object(ne)
if ne_obj != None and ne_obj.mined_rules != None:
#Calculation already been done
precomputed_rules = [r ... | {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,572 | ZhouYii/NE_Recognizer | refs/heads/master | /main.py | def print_log(promote_set,dic) :
for item in promote_set :
print str(item) +" purity:" + str(dic[item].get_max_score())+ " type :" + \
str(dic[item].get_type())
for type in dic[item].dictionary.keys() :
print "type:"+str(type) +" : " +str(dic[item].dictionary[type])
... | {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,573 | ZhouYii/NE_Recognizer | refs/heads/master | /controller.py | from state import State
class Controller :
def __init__(self) :
self.state = State()
def find_rules_tok(self) :
for doc in self.state.corpus :
for ne in self.state.ne.keys() :
candidates = doc.find_rules(ne)
'''
prune rules
... | {"/nameentity.py": ["/scorable.py"], "/RuleFactory.py": ["/rule.py"], "/rule.py": ["/state2.py", "/scorable.py"], "/controller.py": ["/state.py"]} |
5,578 | DandinPower/CryptoAI | refs/heads/main | /ann.py | import keras
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
from sklearn.compose import ColumnTransformer
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from price import GetData
... | {"/ann.py": ["/price.py"]} |
5,579 | DandinPower/CryptoAI | refs/heads/main | /price.py | import numpy as np
import pandas as pd
from binance.client import Client
import plotly.graph_objects as go
api_key = "hbOfUeQs7wRpllIrZfbXgxRMNudnWybfoyE4MOhtO2nU2iuHta5A21TxHpapWRSY"
api_secret = "Zhb9OuU8g3zUmUmabxxZwdL9AGT21eOBTPR7VsUmNUrNxzzO3GvMSuZvNP6BIhxf"
client = Client(api_key, api_secret) # 用自己創立的Key,Secret... | {"/ann.py": ["/price.py"]} |
5,614 | YongminK/gauss-blur-py | refs/heads/master | /design.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'form.ui',
# licensing of 'form.ui' applies.
#
# Created: Sun Apr 7 02:51:25 2019
# by: pyside2-uic running on PySide2 5.12.1
#
# WARNING! All changes made in this file will be lost!
from PySide2 import QtCore, QtGui, QtWidgets
class... | {"/main.py": ["/design.py"]} |
5,615 | YongminK/gauss-blur-py | refs/heads/master | /main.py | import numpy as np
import cv2
import matplotlib.pyplot as plt
import sys
from PySide2 import QtWidgets
from PySide2.QtWidgets import QLabel
from PySide2.QtWidgets import QTableWidget, QTableWidgetItem
from PySide2.QtCore import QTranslator
import design
import os
import time
img_name = 'test.bmp'
img = cv2.imread(im... | {"/main.py": ["/design.py"]} |
5,628 | meteFANS/metview-python | refs/heads/master | /examples/UC-07-bufr-pandas.py | """
Metview Python use case
UC-07-pandas. The Analyst compute simple differences between observations and analysis
and use pandas to perform further computations
BUFR version - BUFR is not tabular or gridded, but we can use Metview Python
framework to extract a particular parameter to a tabular format (geopoints)
--... | {"/examples/UC-07-bufr-pandas.py": ["/metview/__init__.py"], "/examples/UC-01.py": ["/metview/__init__.py"], "/examples/UC-04-grib.py": ["/metview/__init__.py"], "/examples/UC-03-bufr.py": ["/metview/__init__.py"], "/metview/__main__.py": ["/metview/__init__.py"], "/examples/UC-07-bufr.py": ["/metview/__init__.py"]} |
5,629 | meteFANS/metview-python | refs/heads/master | /examples/UC-01.py | """
Metview Python use case
UC-01. The Analyst produces plots and files for the Product user
--------------------------------------------------------------------------------
1. Analyst creates plots and files thanks to his Python applications and scripts
that benefits from the underlying tools of the framework
---... | {"/examples/UC-07-bufr-pandas.py": ["/metview/__init__.py"], "/examples/UC-01.py": ["/metview/__init__.py"], "/examples/UC-04-grib.py": ["/metview/__init__.py"], "/examples/UC-03-bufr.py": ["/metview/__init__.py"], "/metview/__main__.py": ["/metview/__init__.py"], "/examples/UC-07-bufr.py": ["/metview/__init__.py"]} |
5,630 | meteFANS/metview-python | refs/heads/master | /examples/UC-04-grib.py | """
Metview Python use case
UC-04. The Analyst retrieves, for a given time interval, the values of
two parameters and combines their values on the same map
--------------------------------------------------------------------------------
1. Analyst retrieves, for a given time interval, the values of two chosen
para... | {"/examples/UC-07-bufr-pandas.py": ["/metview/__init__.py"], "/examples/UC-01.py": ["/metview/__init__.py"], "/examples/UC-04-grib.py": ["/metview/__init__.py"], "/examples/UC-03-bufr.py": ["/metview/__init__.py"], "/metview/__main__.py": ["/metview/__init__.py"], "/examples/UC-07-bufr.py": ["/metview/__init__.py"]} |
5,631 | meteFANS/metview-python | refs/heads/master | /examples/UC-03-bufr.py | """
Metview Python use case
The Python analyst reads some BUFR data and plots it in various ways
--------------------------------------------------------------------------------
1. Python analyst reads BUFR data and plots it using the default style
---------------------------------------------------------------------... | {"/examples/UC-07-bufr-pandas.py": ["/metview/__init__.py"], "/examples/UC-01.py": ["/metview/__init__.py"], "/examples/UC-04-grib.py": ["/metview/__init__.py"], "/examples/UC-03-bufr.py": ["/metview/__init__.py"], "/metview/__main__.py": ["/metview/__init__.py"], "/examples/UC-07-bufr.py": ["/metview/__init__.py"]} |
5,632 | meteFANS/metview-python | refs/heads/master | /metview/__main__.py | #
# Copyright 2017-2019 B-Open Solutions srl.
# Copyright 2017-2019 European Centre for Medium-Range Weather Forecasts (ECMWF).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://ww... | {"/examples/UC-07-bufr-pandas.py": ["/metview/__init__.py"], "/examples/UC-01.py": ["/metview/__init__.py"], "/examples/UC-04-grib.py": ["/metview/__init__.py"], "/examples/UC-03-bufr.py": ["/metview/__init__.py"], "/metview/__main__.py": ["/metview/__init__.py"], "/examples/UC-07-bufr.py": ["/metview/__init__.py"]} |
5,633 | meteFANS/metview-python | refs/heads/master | /examples/seaIce_CO2_correlation.py | # ==============================================================================
# Authors: ralf mueller, stephan siemen
#
#
# Plan is to create a plot similar to the scatter plot for co2 concentration and
# september minimum of sea ice extent
#
# reference:
# https://www.mpg.de/10579957/W004_Environment_climate_062-... | {"/examples/UC-07-bufr-pandas.py": ["/metview/__init__.py"], "/examples/UC-01.py": ["/metview/__init__.py"], "/examples/UC-04-grib.py": ["/metview/__init__.py"], "/examples/UC-03-bufr.py": ["/metview/__init__.py"], "/metview/__main__.py": ["/metview/__init__.py"], "/examples/UC-07-bufr.py": ["/metview/__init__.py"]} |
5,634 | meteFANS/metview-python | refs/heads/master | /metview/__init__.py | #
# Copyright 2017-2019 B-Open Solutions srl.
# Copyright 2017-2019 European Centre for Medium-Range Weather Forecasts (ECMWF).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://ww... | {"/examples/UC-07-bufr-pandas.py": ["/metview/__init__.py"], "/examples/UC-01.py": ["/metview/__init__.py"], "/examples/UC-04-grib.py": ["/metview/__init__.py"], "/examples/UC-03-bufr.py": ["/metview/__init__.py"], "/metview/__main__.py": ["/metview/__init__.py"], "/examples/UC-07-bufr.py": ["/metview/__init__.py"]} |
5,635 | meteFANS/metview-python | refs/heads/master | /metview/bindings.py | #
# Copyright 2017-2019 B-Open Solutions srl.
# Copyright 2017-2019 European Centre for Medium-Range Weather Forecasts (ECMWF).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://ww... | {"/examples/UC-07-bufr-pandas.py": ["/metview/__init__.py"], "/examples/UC-01.py": ["/metview/__init__.py"], "/examples/UC-04-grib.py": ["/metview/__init__.py"], "/examples/UC-03-bufr.py": ["/metview/__init__.py"], "/metview/__main__.py": ["/metview/__init__.py"], "/examples/UC-07-bufr.py": ["/metview/__init__.py"]} |
5,636 | meteFANS/metview-python | refs/heads/master | /examples/UC-07-bufr.py | """
Metview Python use case
UC-07. The Analyst compute simple differences between observations and analysis
and plot the values
BUFR version - BUFR is not tabular or gridded, but we can use Metview Python
framework to extract a particular parameter to a tabular format (geopoints)
------------------------------------... | {"/examples/UC-07-bufr-pandas.py": ["/metview/__init__.py"], "/examples/UC-01.py": ["/metview/__init__.py"], "/examples/UC-04-grib.py": ["/metview/__init__.py"], "/examples/UC-03-bufr.py": ["/metview/__init__.py"], "/metview/__main__.py": ["/metview/__init__.py"], "/examples/UC-07-bufr.py": ["/metview/__init__.py"]} |
5,658 | GregLahaye/wikipedia-game | refs/heads/master | /game.py | import wikipedia
def search(root, target):
root = wikipedia.check(root)
target = wikipedia.check(target)
if root and target:
if root != target:
visited = set([root])
queue = [[root]]
found = False
print("Finding the shortest route from '{}... | {"/game.py": ["/wikipedia.py"]} |
5,659 | GregLahaye/wikipedia-game | refs/heads/master | /wikipedia.py | import requests
def random(num=1):
params = {
"format": "json",
"action": "query",
"generator": "random",
"grnnamespace": "0",
"grnlimit": num
}
r = s.get(API_URL, params=params)
response = r.json()
titles = [item[... | {"/game.py": ["/wikipedia.py"]} |
5,660 | shrirangbagdi/LogParser | refs/heads/master | /PatternFour.py | import re
from datetime import datetime
#"[2020-07-07T18:42:01.735] [INFO] ngui - com.unraveldata.ngui.topx.enabled :true"
class PatternFour:
def __init__(self, line):
self.line = line
def IsPatternFour(self):
try:
time_stamp = self.line[1:24]
message_type = self.line[... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,661 | shrirangbagdi/LogParser | refs/heads/master | /S3BucketParser/S3BucketParser.py | import json
import os
import boto3
from S3BucketParser.BucketFolderParser import BucketFolderParser
s3_object = boto3.resource('s3', aws_access_key_id="****",
aws_secret_access_key="****")
class S3BucketParser:
def __init__(self, bucketName):
self.bucketName = bucketName
... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,662 | shrirangbagdi/LogParser | refs/heads/master | /LambdaAWSFunction/log_parser.py | import os
import boto3
from LambdaAWSFunction.message import message
class Log_Parser:
def __init__(self):
pass
def parse_file(self, event):
s3 = boto3.resource("s3")
file_obj = event["Records"][0]
bucket_name = str(file_obj['s3']['bucket']['name'])
file_name = str(f... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,663 | shrirangbagdi/LogParser | refs/heads/master | /LogParser.py | import json
import sys
import os
from FileParser import FileParser
from FolderParser import FolderParser
class LogParser:
def __init__(self, propertyFile):
self.propertyFile = propertyFile
self.parseSpecificDate = False
def GetSource(self):
try:
property_file = open(self.... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,664 | shrirangbagdi/LogParser | refs/heads/master | /S3BucketParser.py | import json
import os
import boto3
from BucketFolderParser import BucketFolderParser
class S3BucketParser:
def __init__(self, bucketName):
self.bucketName = bucketName
def Parser(self):
bucket = self.findBucket()
if not bucket:
print("Bucket not found!")
else:
... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,665 | shrirangbagdi/LogParser | refs/heads/master | /LambdaAWSFunction/LambdaFunction.py | import boto3
import json
import os
from LambdaAWSFunction.log_parser import Log_Parser
def lambda_handler(event, context):
s3 = boto3.client('s3')
bucket = 'ouput-bucket'
log = Log_Parser()
messages = log.parse_file(event)
if messages:
file_name = str(event["Records"][0]['s3']['object']... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,666 | shrirangbagdi/LogParser | refs/heads/master | /FolderParser.py | import os
import boto3
from FileParser import FileParser
class FolderParser:
def __init__(self, sourcePathway, destinationPathway, startDate=0, endDate=0, pattern=""):
self.sourcePathway = sourcePathway
self.destinationPathway = destinationPathway
self.startDate = startDate
self.e... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,667 | shrirangbagdi/LogParser | refs/heads/master | /BucketFileParser.py | import boto3
from PatternFour import PatternFour
from PatternOne import PatternOne
from PatternThree import PatternThree
class BucketFileParser:
def __init__(self, caseID, fileObject):
self.caseID = caseID
self.fileObject = fileObject
def generateMessages(self):
list_of_messages = []... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,668 | shrirangbagdi/LogParser | refs/heads/master | /PatternThree.py | #Pattern3="[2020-05-11T16:54:33,500][WARN ][o.e.m.j.JvmGcMonitorService] [unravel_s_1] [gc][1126797] overhead, spent [709ms] collecting in the last [1.2s]"
import re
from datetime import datetime
class PatternThree:
def __init__(self, line):
self.line = line
def IsPatternThree(self):
try:
... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,669 | shrirangbagdi/LogParser | refs/heads/master | /BucketFolderParser.py | import bz2
import gzip
import os
import zipfile
from io import BytesIO
import boto3
from boto3 import s3
from BucketFileParser import BucketFileParser
class BucketFolderParser:
def __init__(self, obj):
self.obj = obj
def parseBucketFolder(self):
directory = self.obj.key
print(direct... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,670 | shrirangbagdi/LogParser | refs/heads/master | /Parser.py | import json
import re
class Parser:
def __init__(self, logfile):
self.logfile = logfile
def ParseFile(self):
list_of_warnings = []
log_file = open(self.logfile, 'r')
previous_type = ""
warning = {}
first_iteration = True
first_phrase = 0
second_... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,671 | shrirangbagdi/LogParser | refs/heads/master | /PatternOne.py | import re
from datetime import datetime
class PatternOne:
def __init__(self, line):
self.line = line
def IsPatternOne(self):
try:
time_stamp = self.line[0:23]
message_type = self.line.split()[2]
return self.IsCorrectTimeStamp(time_stamp) and self.IsCorrectT... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,672 | shrirangbagdi/LogParser | refs/heads/master | /FileParser.py | import json
import os
import re
from datetime import datetime
from PatternFour import PatternFour
from PatternOne import PatternOne
from PatternThree import PatternThree
class FileParser:
def __init__(self, logfile, destinationPathway, dateStart=0, dateEnd=0, pattern=""):
self.logfile = logfile
... | {"/LogParser.py": ["/FileParser.py", "/FolderParser.py"], "/S3BucketParser.py": ["/BucketFolderParser.py"], "/LambdaAWSFunction/LambdaFunction.py": ["/LambdaAWSFunction/log_parser.py"], "/FolderParser.py": ["/FileParser.py"], "/BucketFileParser.py": ["/PatternFour.py", "/PatternOne.py", "/PatternThree.py"], "/BucketFol... |
5,684 | raysmith619/sudoku | refs/heads/master | /src/sudoku.py | # sudoko.py
"""
This is a program to solve, and someday create, Sudoku puzzles
It was adapted from the Perl program sudoku.pl
To ease the adaption process the original variable, function and file names, where possible, have been preserved.
The Trace.pm module use has been replaced by the select_trace.py module.
"""
... | {"/src/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/sudoku_subs.py": ["/sudoku_globals.py"], "/puzzle/SudokuPly.py": ["/sudoku_globals.py"], "/puzzle/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/SudokuBoard.py": ["/sudoku_globals.py"], "/sudoku_subs.py": ["/sudoku_globals.py"]} |
5,685 | raysmith619/sudoku | refs/heads/master | /puzzle/sudoku_subs.py | # sudoku_subs.py
# Top level subs for sudoku.py
# imported to workaround the lack of forward referencing subroutines
import sys
import os
from tkinter import filedialog
from tkinter import *
import time
import argparse
from math import *
from select_trace import SlTrace
from select_error import SelectError
... | {"/src/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/sudoku_subs.py": ["/sudoku_globals.py"], "/puzzle/SudokuPly.py": ["/sudoku_globals.py"], "/puzzle/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/SudokuBoard.py": ["/sudoku_globals.py"], "/sudoku_subs.py": ["/sudoku_globals.py"]} |
5,686 | raysmith619/sudoku | refs/heads/master | /puzzle/sudoku_vals.py | #sudoku_vals.py
# Adapted from SudokuData.pm with just values
#################
## sudokuVals ##
#################
from select_trace import SlTrace
from select_error import SelectError
EMPTY = 0 # Empty cell def
class CellDesc:
""" Cell description
"""
def __init__(self, row=None... | {"/src/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/sudoku_subs.py": ["/sudoku_globals.py"], "/puzzle/SudokuPly.py": ["/sudoku_globals.py"], "/puzzle/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/SudokuBoard.py": ["/sudoku_globals.py"], "/sudoku_subs.py": ["/sudoku_globals.py"]} |
5,687 | raysmith619/sudoku | refs/heads/master | /time_example.py | import timeit
start = timeit.timeit()
print("hello")
end = timeit.timeit()
print(end - start)
| {"/src/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/sudoku_subs.py": ["/sudoku_globals.py"], "/puzzle/SudokuPly.py": ["/sudoku_globals.py"], "/puzzle/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/SudokuBoard.py": ["/sudoku_globals.py"], "/sudoku_subs.py": ["/sudoku_globals.py"]} |
5,688 | raysmith619/sudoku | refs/heads/master | /src/SudokuData.py | #SudokuData.py
# Adapted from SudokuData.pm
#################
## sudokuData ##
#################
import re
import copy
from random import randint
from select_trace import SlTrace
from select_error import SelectError
from sudoku_vals import SudokuVals, CellDesc
base=None
"""
Marker difinition
"""
clas... | {"/src/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/sudoku_subs.py": ["/sudoku_globals.py"], "/puzzle/SudokuPly.py": ["/sudoku_globals.py"], "/puzzle/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/SudokuBoard.py": ["/sudoku_globals.py"], "/sudoku_subs.py": ["/sudoku_globals.py"]} |
5,689 | raysmith619/sudoku | refs/heads/master | /sudoku_globals.py | # sudoku_globals.py
""" Program Globals
We might restucture the program to avoid this at a later date
but to push ahead with most of the structure intqct we have these global variables
"""
from select_trace import SlTrace
from resource_group import ResourceGroup
from select_control import SelectControl
def in... | {"/src/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/sudoku_subs.py": ["/sudoku_globals.py"], "/puzzle/SudokuPly.py": ["/sudoku_globals.py"], "/puzzle/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/SudokuBoard.py": ["/sudoku_globals.py"], "/sudoku_subs.py": ["/sudoku_globals.py"]} |
5,690 | raysmith619/sudoku | refs/heads/master | /puzzle/SudokuPuzzle.py | #SudokuPuzzle.py
# Adapted from SudokuData.py
#################
## sudokuPuzzle ##
#################
from select_error import SelectError
from SudokuData import SudokuData
class SudokuPuzzle(SudokuData):
def __init__(self, desc=None, file_name=None, **kwargs):
"""
:description: Description ... | {"/src/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/sudoku_subs.py": ["/sudoku_globals.py"], "/puzzle/SudokuPly.py": ["/sudoku_globals.py"], "/puzzle/sudoku.py": ["/sudoku_subs.py", "/sudoku_globals.py"], "/puzzle/SudokuBoard.py": ["/sudoku_globals.py"], "/sudoku_subs.py": ["/sudoku_globals.py"]} |
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