repo_name stringclasses 400
values | branch_name stringclasses 4
values | file_content stringlengths 16 72.5k | language stringclasses 1
value | num_lines int64 1 1.66k | avg_line_length float64 6 85 | max_line_length int64 9 949 | path stringlengths 5 103 | alphanum_fraction float64 0.29 0.89 | alpha_fraction float64 0.27 0.89 |
|---|---|---|---|---|---|---|---|---|---|
fengd13/tcpreplay_GUI | refs/heads/master | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 31 10:36:40 2018
@author: fd
"""
# !/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 23 18:00:59 2018
@author: key1234
"""
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 23 14:24:35 2018
@author: fd
"""
import sys
import time... | Python | 405 | 32.671604 | 113 | /tcpreplay_gui.py | 0.519798 | 0.50819 |
fengd13/tcpreplay_GUI | refs/heads/master | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 24 09:50:29 2018
@author: fd
"""
import json
dic = {
"真实流量测试":
{
"dspflow": ["flow.pcap"],
"flow": ["flow2.pcap", "3.pcap"],
},
"恶意流量测试":
{
"情况1": ["6.pcap"],
"情况2": ... | Python | 61 | 23.245901 | 45 | /makejson.py | 0.396753 | 0.375325 |
Imenbaa/Validity-index | refs/heads/master | # -*- coding: utf-8 -*-
"""
Created on Tue Nov 27 20:07:59 2018
@author: Imen
"""
import numpy as np
import pandas as pd
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
from sklearn.datasets.samples_generator import make_blobs
#Create a database of random values of 4 features and a fi... | Python | 88 | 31.852272 | 112 | /validity_index_.py | 0.657939 | 0.621349 |
thinkAmi-sandbox/AWS_CDK-sample | refs/heads/master | import os
import boto3
from numpy.random import rand
def lambda_handler(event, context):
body = f'{event["message"]} \n value: {rand()}'
client = boto3.client('s3')
client.put_object(
Bucket=os.environ['BUCKET_NAME'],
Key='sfn_first.txt',
Body=body,
)
return {
'bod... | Python | 18 | 19.722221 | 51 | /step_functions/step_functions/lambda_function/first/lambda_function.py | 0.571046 | 0.563003 |
thinkAmi-sandbox/AWS_CDK-sample | refs/heads/master | import pathlib
from aws_cdk import core
from aws_cdk.aws_iam import PolicyStatement, Effect, ManagedPolicy, ServicePrincipal, Role
from aws_cdk.aws_lambda import AssetCode, LayerVersion, Function, Runtime
from aws_cdk.aws_s3 import Bucket
from aws_cdk.aws_stepfunctions import Task, StateMachine, Parallel
from aws_cdk.... | Python | 203 | 29.906404 | 100 | /step_functions/step_functions/step_functions_stack.py | 0.545904 | 0.541281 |
thinkAmi-sandbox/AWS_CDK-sample | refs/heads/master | def lambda_handler(event, context):
if event['parallel_no'] == 1:
raise Exception('強制的にエラーとします')
return 'only 3rd message.'
| Python | 5 | 27.200001 | 38 | /step_functions/step_functions/lambda_function/third/lambda_function.py | 0.64539 | 0.631206 |
thinkAmi-sandbox/AWS_CDK-sample | refs/heads/master | def lambda_handler(event, context):
if event['parallel_no'] % 2 == 0:
raise Exception('偶数です')
return {
'message': event['message'],
'const_value': event['const_value']
}
| Python | 8 | 24.875 | 43 | /step_functions/step_functions/lambda_function/second/lambda_function.py | 0.555556 | 0.545894 |
thinkAmi-sandbox/AWS_CDK-sample | refs/heads/master | import json
def lambda_handler(event, context):
# {
# "resource": "arn:aws:lambda:region:id:function:sfn_error_lambda",
# "input": {
# "Error": "Exception",
# "Cause": "{\"errorMessage\": \"\\u5076\\u6570\\u3067\\u3059\",
# \"errorType\": \"Exception\",
# ... | Python | 21 | 31.952381 | 95 | /step_functions/step_functions/lambda_function/error/lambda_function.py | 0.49422 | 0.446532 |
thinkAmi-sandbox/AWS_CDK-sample | refs/heads/master | #!/usr/bin/env python3
from aws_cdk import core
from step_functions.step_functions_stack import StepFunctionsStack
app = core.App()
# CFnのStack名を第2引数で渡す
StepFunctionsStack(app, 'step-functions')
app.synth()
| Python | 13 | 15.384615 | 66 | /step_functions/app.py | 0.774648 | 0.765258 |
thinkAmi-sandbox/AWS_CDK-sample | refs/heads/master | AWS_SCIPY_ARN = 'arn:aws:lambda:region:account_id:layer:AWSLambda-Python37-SciPy1x:2' | Python | 1 | 85 | 85 | /step_functions/step_functions/settings.example.py | 0.8 | 0.752941 |
yywang0514/dsnre | refs/heads/master | import sys
import os
import time
import numpy as np
import torch
import torch.nn.functional as F
import argparse
import logging
from lib import *
from model import *
def train(options):
if not os.path.exists(options.folder):
os.mkdir(options.folder)
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter(... | Python | 275 | 35.825455 | 138 | /train.py | 0.633356 | 0.621803 |
yywang0514/dsnre | refs/heads/master | import torch
import torch.nn as nn
import math
class LayerNorm(nn.Module):
"""Layer Normalization class"""
def __init__(self, features, eps=1e-6):
super(LayerNorm, self).__init__()
self.a_2 = nn.Parameter(torch.ones(features))
self.b_2 = nn.Parameter(torch.zeros(features))
self.eps = eps
def forward(self... | Python | 311 | 27.713827 | 177 | /lib/module.py | 0.672564 | 0.666181 |
yywang0514/dsnre | refs/heads/master | import torch
import torch.nn as nn
from lib import *
class Model(nn.Module):
def __init__(self,
fine_tune,
pre_train_emb,
part_point,
size_vocab,
dim_emb, ... | Python | 99 | 29.747475 | 192 | /model.py | 0.567861 | 0.561288 |
yywang0514/dsnre | refs/heads/master | from module import *
from util import *
from data_iterator import *
| Python | 3 | 21.666666 | 27 | /lib/__init__.py | 0.764706 | 0.764706 |
yywang0514/dsnre | refs/heads/master | import sys
import codecs
class InstanceBag(object):
def __init__(self, entities, rel, num, sentences, positions, entitiesPos):
self.entities = entities
self.rel = rel
self.num = num
self.sentences = sentences
self.positions = positions
self.entitiesPos = entitiesPos
def bags_decompose(data_bags):
bag... | Python | 87 | 27 | 83 | /format.py | 0.645996 | 0.635729 |
yywang0514/dsnre | refs/heads/master | import sys
import re
import numpy as np
import cPickle as pkl
import codecs
import logging
from data_iterator import *
logger = logging.getLogger()
extra_token = ["<PAD>", "<UNK>"]
def display(msg):
print(msg)
logger.info(msg)
def datafold(filename):
f = open(filename, 'r')
data = []
while 1:
line = f.readl... | Python | 169 | 20.177515 | 115 | /lib/util.py | 0.622974 | 0.604807 |
yywang0514/dsnre | refs/heads/master | import time
import cPickle
import numpy as np
import torch
class InstanceBag(object):
def __init__(self, entities, rel, num, sentences, positions, entitiesPos):
self.entities = entities
self.rel = rel
self.num = num
self.sentences = sentences
self.positions = positions
self.entitiesPos = entitiesPos
def ... | Python | 64 | 32.4375 | 116 | /lib/data_iterator.py | 0.612617 | 0.607477 |
porterjamesj/bcbio-nextgen | refs/heads/master | """Calculate potential effects of variations using external programs.
Supported:
snpEff: http://sourceforge.net/projects/snpeff/
"""
import os
import csv
import glob
from bcbio import utils
from bcbio.distributed.transaction import file_transaction
from bcbio.pipeline import config_utils, tools
from bcbio.provenanc... | Python | 140 | 43.628571 | 96 | /bcbio/variation/effects.py | 0.617958 | 0.615557 |
porterjamesj/bcbio-nextgen | refs/heads/master | """Run distributed functions provided a name and json/YAML file with arguments.
Enables command line access and alternative interfaces to run specific
functionality within bcbio-nextgen.
"""
import yaml
from bcbio.distributed import multitasks
def process(args):
"""Run the function in args.name given arguments i... | Python | 25 | 39 | 116 | /bcbio/distributed/runfn.py | 0.691 | 0.691 |
porterjamesj/bcbio-nextgen | refs/heads/master | """Run distributed tasks in parallel using IPython or joblib on multiple cores.
"""
import functools
try:
import joblib
except ImportError:
joblib = False
from bcbio.distributed import ipython
from bcbio.log import logger, setup_local_logging
from bcbio.provenance import diagnostics, system
def parallel_runn... | Python | 80 | 37.762501 | 90 | /bcbio/distributed/messaging.py | 0.598194 | 0.597227 |
porterjamesj/bcbio-nextgen | refs/heads/master | from os import path
from bcbio.pipeline import config_utils
from bcbio.utils import safe_makedir, file_exists, get_in
from bcbio.provenance import do
CLEANUP_FILES = ["Aligned.out.sam", "Log.out", "Log.progress.out"]
def align(fastq_file, pair_file, ref_file, names, align_dir, data):
config = data["config"]
... | Python | 54 | 37.888889 | 78 | /bcbio/ngsalign/star.py | 0.651905 | 0.647143 |
MagnusPoppe/hidden-markov-models | refs/heads/master | import random
import sys
actions = ["LEFT", "RIGHT", "UP", "DOWN"]
def perform_action(x, y, action):
if action == "LEFT" and x != 0: return x-1, y
if action == "RIGHT" and x != 3: return x+1, y
if action == "UP" and y != 0: return x, y-1
if action == "DOWN" and y != 2: return x, y+1
return x, ... | Python | 69 | 31.536232 | 114 | /policy_iteration.py | 0.55615 | 0.529412 |
MagnusPoppe/hidden-markov-models | refs/heads/master | import pandas as pd
from math import log2
_TRAINING_FILE = "/Users/magnus/Downloads/data/training.csv"
_TESTING_FILE = "/Users/magnus/Downloads/data/test.csv"
def entropy(V):
""" ENTROPY SHOWS HOW MUCH OF THE TOTAL DECSISION SPACE AN ATTRIBUTE TAKES UP """
return - sum(vk * log2(vk) for vk in V if vk > 0)
de... | Python | 68 | 38.75 | 98 | /boolean_decision_tree.py | 0.61695 | 0.607698 |
MagnusPoppe/hidden-markov-models | refs/heads/master | # %%
import numpy as np
# Transition model for state_t (Answer to to PART A, 1)
Xt = np.array([[0.7, 0.3], [0.3, 0.7]])
# Sensor model for state_t (Answer to PART A, 2)
O1 = np.array([[0.9, .0], [.0, 0.2]])
O3 = np.array([[0.1, .0], [.0, 0.8]])
init = np.array([0.5, 0.5])
def forward(f, Xt, OT, OF, E, k):
t =... | Python | 40 | 28 | 94 | /hmm.py | 0.554217 | 0.512909 |
MagnusPoppe/hidden-markov-models | refs/heads/master | import copy
# Setup:
s = "s"
states = ["s", "!s"]
actions = ["N", "M"]
Xt = {"A1": 1.0, "A2": 1.0}
R = {"s": 2.0, "!s": 3.0}
y = 0.5
def E(c, R):
E = c * max(R.values())
return E
def max_key(dictionary):
return list(Xt.keys())[list(Xt.values()).index(max(Xt.values()))]
def value_iteration(states, Xt, y)... | Python | 45 | 22.911112 | 96 | /value_iteration_world.py | 0.496283 | 0.472119 |
SGuo1995/Mushroom-poisonous-prediction | refs/heads/master | #!/usr/bin/env python
# coding: utf-8
# In[433]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import preprocessing
from sklearn.preprocessing import LabelEncoder
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import Standar... | Python | 907 | 27.802647 | 308 | /Final Project_guo_1449.py | 0.667215 | 0.646739 |
greenmato/slackline-spots | refs/heads/master | # Generated by Django 2.0.1 on 2018-03-05 22:15
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('map', '0008_auto_20180305_2211'),
]
operations = [
migrations.CreateModel(
name='Vote',
... | Python | 27 | 27.925926 | 114 | /spots-api/map/migrations/0009_auto_20180305_2215.py | 0.564661 | 0.524968 |
greenmato/slackline-spots | refs/heads/master | from django.urls import path
from django.conf import settings
from django.conf.urls.static import static
from map.views import MapView
from map.api import SpotsApi, SpotApi, RatingsApi, VotesApi
app_name = 'map'
urlpatterns = [
path('', MapView.as_view(), name='index'),
path('spots/', ... | Python | 19 | 34.052631 | 80 | /spots-api/map/urls.py | 0.636637 | 0.636637 |
greenmato/slackline-spots | refs/heads/master | from django import forms
from django.forms import ModelForm, Textarea
from map.models import Spot, Rating, Vote
class SpotForm(ModelForm):
class Meta:
model = Spot
fields = ['name', 'description', 'latitude', 'longitude']
widgets = {
'latitude': forms.HiddenInput(),
... | Python | 30 | 24.766666 | 65 | /spots-api/map/forms.py | 0.560155 | 0.560155 |
greenmato/slackline-spots | refs/heads/master | from django.db import models
from django.core.validators import MaxValueValidator, MinValueValidator
class Spot(models.Model):
name = models.CharField(max_length=50)
description = models.CharField(max_length=500)
latitude = models.DecimalField(max_digits=10, decimal_places=7)
longitude = models.Decim... | Python | 64 | 28.453125 | 75 | /spots-api/map/models.py | 0.64191 | 0.6313 |
greenmato/slackline-spots | refs/heads/master | # Generated by Django 2.0.1 on 2018-03-05 21:31
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('map', '0004_ratingtype'),
]
operations = [
migrations.AlterField(
model_name='spot',
name='latitude',
fi... | Python | 23 | 23.782608 | 71 | /spots-api/map/migrations/0005_auto_20180305_2131.py | 0.573684 | 0.529825 |
greenmato/slackline-spots | refs/heads/master | from django.shortcuts import render
from django.views import View
class MapView(View):
def get(self, request):
return render(request, 'map/index.html')
| Python | 6 | 26.5 | 48 | /spots-api/map/views.py | 0.727273 | 0.727273 |
greenmato/slackline-spots | refs/heads/master | # Generated by Django 2.0.1 on 2018-03-05 21:39
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('map', '0006_rating'),
]
operations = [
migrations.RenameField(
model_name='rating',
old_name='rating_type_id',
n... | Python | 23 | 20.608696 | 47 | /spots-api/map/migrations/0007_auto_20180305_2139.py | 0.527163 | 0.488934 |
greenmato/slackline-spots | refs/heads/master | # Generated by Django 2.0.1 on 2018-03-05 22:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('map', '0007_auto_20180305_2139'),
]
operations = [
migrations.RenameField(
model_name='rating',
old_name='rating_typ... | Python | 23 | 21.652174 | 49 | /spots-api/map/migrations/0008_auto_20180305_2211.py | 0.547025 | 0.485605 |
greenmato/slackline-spots | refs/heads/master | from abc import ABC, ABCMeta, abstractmethod
from django.forms.models import model_to_dict
from django.http import HttpResponse, JsonResponse
from django.shortcuts import get_object_or_404
from django.views import View
from django.views.decorators.csrf import csrf_exempt
from django.utils.decorators import method_decor... | Python | 95 | 29.56842 | 91 | /spots-api/map/api.py | 0.642906 | 0.634642 |
greenmato/slackline-spots | refs/heads/master | # Generated by Django 2.0 on 2017-12-17 18:04
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Spot',
fields=[
('id', models.AutoField(auto_... | Python | 24 | 28.791666 | 114 | /spots-api/map/migrations/0001_initial.py | 0.573427 | 0.541259 |
greenmato/slackline-spots | refs/heads/master | # Generated by Django 2.0.1 on 2018-03-06 21:19
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('map', '0009_auto_20180305_2215'),
]
operations = [
migrations.RenameField(
model_name='rating',
old_name='rating',
... | Python | 18 | 19.222221 | 47 | /spots-api/map/migrations/0010_auto_20180306_2119.py | 0.565934 | 0.480769 |
Turing-IA-IHC/Heart-Attack-Detection-In-Images | refs/heads/master | """
Heart attack detection in colour images using convolutional neural networks
This code make a neural network to detect infarcts
Written by Gabriel Rojas - 2019
Copyright (c) 2019 G0 S.A.S.
Licensed under the MIT License (see LICENSE for details)
"""
from os import scandir
import num... | Python | 88 | 31.875 | 105 | /test.py | 0.59678 | 0.583361 |
Turing-IA-IHC/Heart-Attack-Detection-In-Images | refs/heads/master | """
Heart attack detection in colour images using convolutional neural networks
This code make a neural network to detect infarcts
Written by Gabriel Rojas - 2019
Copyright (c) 2019 G0 S.A.S.
Licensed under the MIT License (see LICENSE for details)
"""
import os
import sys
from time imp... | Python | 115 | 30.18261 | 109 | /train.py | 0.658471 | 0.624156 |
horsinLin/Ajax-Project | refs/heads/master | from flask import Flask, render_template, request
from flask_sqlalchemy import SQLAlchemy
import pymysql
pymysql.install_as_MySQLdb()
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI']="mysql://root:horsin@123@localhost:3306/flask"
app.config['SQLALCHEMY_COMMIT_ON_TEARDOWN'] = True
db = SQLAlchemy(app)
cla... | Python | 42 | 26 | 84 | /day02/练习/02-run.py | 0.663725 | 0.651368 |
horsinLin/Ajax-Project | refs/heads/master | from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/01-getxhr')
def getxhr():
return render_template('01-getxhr.html')
@app.route('/02-get')
def get_views():
return render_template('02-get.html')
@app.route('/03-get')
def get03_view():
return render_template('03-get.html... | Python | 40 | 20.125 | 49 | /day02/练习/01-run.py | 0.648104 | 0.60545 |
horsinLin/Ajax-Project | refs/heads/master | from flask import Flask, render_template, request
from flask_sqlalchemy import SQLAlchemy
import json
import pymysql
pymysql.install_as_MySQLdb()
app = Flask(__name__)
app.config["SQLALCHEMY_DATABASE_URI"]="mysql://root:horsin@123@localhost:3306/flask"
app.config['SQLALCHEMY_COMMIT_ON_TEARDOWN'] = True
db... | Python | 78 | 24.858974 | 89 | /day03/练习/02-run.py | 0.58568 | 0.579475 |
horsinLin/Ajax-Project | refs/heads/master | from flask import Flask, render_template
from flask_sqlalchemy import SQLAlchemy
import json
import pymysql
pymysql.install_as_MySQLdb()
app = Flask(__name__)
app.config["SQLALCHEMY_DATABASE_URI"]="mysql://root:horsin@123@localhost:3306/flask"
app.config['SQLALCHEMY_COMMIT_ON_TEARDOWN'] = True
db = SQLAlc... | Python | 100 | 22.32 | 84 | /day03/练习/01-run.py | 0.53786 | 0.526749 |
horsinLin/Ajax-Project | refs/heads/master | from flask import Flask, render_template, request
from flask_sqlalchemy import SQLAlchemy
import json
import pymysql
pymysql.install_as_MySQLdb()
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI']="mysql://root:horsin@123@localhost:3306/flask"
app.config['SQLALCHEMY_COMMIT_ON_TEARDOWN']=True
db = SQLAlchemy... | Python | 121 | 24.504131 | 89 | /day04/练习/01-run.py | 0.596894 | 0.584924 |
serhatkg021/parthenia | refs/heads/master | import RPi.GPIO as GPIO
import time
import os
GPIO.setmode(GPIO.BCM)
GPIO.setup("1",GPIO.IN)
GPIO.setup("2",GPIO.IN)
input = GPIO.input("1")
input = GPIO.input("2")
while True:
inputValue = GPIO.input("1")
if (inputValue == False):
print("1. Görev")
os.system('..\\daire\\main... | Python | 22 | 24.818182 | 65 | /Proje/Tuş/main2.py | 0.550265 | 0.534392 |
serhatkg021/parthenia | refs/heads/master | import keyboard
import os
while True:
if keyboard.is_pressed("1"):
print("1. Görev")
os.system('..\\daire\\main.py')
if keyboard.is_pressed("2"):
os.system('..\\dikdörtgen\\main.py')
if keyboard.is_pressed("3"):
print("3. Görev") | Python | 11 | 24 | 44 | /Proje/Tuş/main.py | 0.569343 | 0.551095 |
serhatkg021/parthenia | refs/heads/master | import cv2
from daire import circleScan
import keyboard
import os
cameraX = 800
cameraY = 600
cap = cv2.VideoCapture(0)
# Cemberin merkezinin ekranın orta noktaya uzaklıgını x ve y cinsinden uzaklıgı
while True:
if keyboard.is_pressed("2"):
print("2. Görev")
cap.release()
cv2.destroyAllWi... | Python | 35 | 23.685715 | 80 | /Proje/Daire/main.py | 0.61066 | 0.584009 |
serhatkg021/parthenia | refs/heads/master | import cv2
import numpy as np
# minDist = 120
# param1 = 50
# param2 = 30
# minRadius = 5
# maxRadius = 0
def circleScan(frame, camX, camY):
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray,(11,11),0)
circles = cv2.HoughCircles(blurred, cv2.HOUGH_GRADIENT, 1,120, param1=220,... | Python | 28 | 32.642857 | 142 | /Proje/Daire/daire.py | 0.585987 | 0.504246 |
serhatkg021/parthenia | refs/heads/master | import cv2
# import numpy as np
import keyboard
import os
cameraX = 800
cameraY = 600
cap = cv2.VideoCapture(0)
while(True):
if keyboard.is_pressed("1"):
print("1. Görev Dikdortgende")
cap.release()
cv2.destroyAllWindows()
os.system('..\\daire\\main.py') # Daha verimli
bre... | Python | 70 | 25.942858 | 78 | /Proje/Dikdörtgen/main.py | 0.508223 | 0.448276 |
LeonardoZanotti/opencv-logic-operations | refs/heads/main | import cv2 as cv
import numpy as np
import sys
from matplotlib import pyplot as plt
def main():
square = cv.imread('./img/square.png')
ball = cv.imread('./img/ball.png')
mask = cv.imread('./img/mask2.png')
square_gray = cv.cvtColor(square, cv.COLOR_BGR2GRAY)
ball_gray = cv.cvtColor(ball, cv.COLOR_... | Python | 122 | 28.745901 | 173 | /logic-arithmetic.py | 0.537063 | 0.505098 |
johinsDev/codewars | refs/heads/master | """
Going to zero or to infinity?
http://www.codewars.com/kata/55a29405bc7d2efaff00007c/train/python
"""
import math
def going(n):
result = 0
for i in range(n):
result = 1.0*result/(i+1) + 1
return math.floor(result * (10**6))/(10**6)
if __name__ == "__main__":
for i in range(10):
print i, going(i) | Python | 18 | 16.5 | 66 | /going_to_zero_or_inf.py | 0.627389 | 0.541401 |
johinsDev/codewars | refs/heads/master | '''
A poor miner is trapped in a mine and you have to help him to get out !
Only, the mine is all dark so you have to tell him where to go.
In this kata, you will have to implement a method solve(map, miner, exit) that has to return the path the miner must take to reach the exit as an array of moves, such as : ['up',... | Python | 41 | 41.634148 | 464 | /escape_the_mines.py | 0.691076 | 0.671053 |
johinsDev/codewars | refs/heads/master | """
You have to create a function that takes a positive integer number and returns the next bigger number formed by the same digits:
http://www.codewars.com/kata/55983863da40caa2c900004e/train/python
"""
def next_bigger(n):
#your code here
| Python | 10 | 23.799999 | 128 | /next_bigger.py | 0.746032 | 0.678571 |
johinsDev/codewars | refs/heads/master | """
Sudoku Solution Validator
http://www.codewars.com/kata/529bf0e9bdf7657179000008/train/python
"""
def validSolution(board):
test = range(1,10,1)
def tester(alist):
return set(test)==set(alist)
for i in range(len(board)):
tem = board[i]
if not tester(tem):
return False
for i in range(len(board[0]... | Python | 53 | 25.283018 | 77 | /sudoku_solution_val.py | 0.41954 | 0.280891 |
johinsDev/codewars | refs/heads/master | """
Decimal to any Rational or Irrational Base Converter
http://www.codewars.com/kata/5509609d1dbf20a324000714/train/python
wiki_page : https://en.wikipedia.org/wiki/Non-integer_representation
"""
import math
from math import pi , log
'''
def converter(n, decimals=0, base=pi):
"""takes n in base 10 and return... | Python | 71 | 23.478872 | 69 | /decimalToRational.py | 0.541021 | 0.49455 |
johinsDev/codewars | refs/heads/master | '''
http://www.codewars.com/kata/53d3173cf4eb7605c10001a8/train/python
Write a function that returns all of the sublists of a list or Array.
Your function should be pure; it cannot modify its input.
Example:
power([1,2,3])
# => [[], [1], [2], [1, 2], [3], [1, 3], [2, 3], [1, 2, 3]]
'''
def power(s):
"""Computes... | Python | 40 | 21.625 | 69 | /powerSet.py | 0.539648 | 0.488987 |
johinsDev/codewars | refs/heads/master | def solution(n):
# TODO convert int to roman string
result = ""
remainder = n
if n == 0:
return ""
for i in range(0,len(roman_number)):
time = 1.0*remainder/roman_number[i][0]
if str(roman_number[i][0])[0] == '1':
if time < 4 and time >=1:
temp = remainder % roman_number[i][0]
div = remainder / ... | Python | 37 | 31.270269 | 94 | /roman_number.py | 0.581727 | 0.523051 |
johinsDev/codewars | refs/heads/master | #!/usr/bin/python
'''
An Arithmetic Progression is defined as one in which there is a constant difference between the consecutive terms of a given series of numbers. You are provided with consecutive elements of an Arithmetic Progression. There is however one hitch: Exactly one term from the original series is missing ... | Python | 23 | 37.869564 | 435 | /find_missing.py | 0.731243 | 0.697648 |
johinsDev/codewars | refs/heads/master | """
Square into Squares. Protect trees!
http://www.codewars.com/kata/square-into-squares-protect-trees
"""
import math
def decompose(n):
# your code
def sub_decompose(s,i):
if s < 0 :
return None
if s == 0:
return []
for j in xrange(i-1, 0 ,-1):
#print s,s - j**2 ,j
su... | Python | 24 | 20.708334 | 63 | /square_into_squares.py | 0.541267 | 0.522073 |
johinsDev/codewars | refs/heads/master | #!/usr/bin/python
from collections import defaultdict
def sum_for_list(lst):
aDict = defaultdict(lambda : 0)
def primes(n):
d = 2
aN = n
n = abs(n)
while d*d <= n:
aBool = True
while (n % d) == 0:
#primfac.add(d) # supposing you want multiple factors repeated
if aBool:
aDict[d] ... | Python | 47 | 14.957447 | 68 | /sum_for_list.py | 0.573901 | 0.537949 |
johinsDev/codewars | refs/heads/master | """
Create the function prefill that returns an array of n elements that all have the same value v. See if you can do this without using a loop.
You have to validate input:
v can be anything (primitive or otherwise)
if v is ommited, fill the array with undefined
if n is 0, return an empty array
if n is anything other... | Python | 43 | 24.39535 | 140 | /prefillAnArray.py | 0.696249 | 0.666057 |
johinsDev/codewars | refs/heads/master | """
Vigenere Autokey Cipher Helper
http://www.codewars.com/kata/vigenere-autokey-cipher-helper
"""
class VigenereAutokeyCipher:
def __init__(self, key, alphabet):
self.key = key
self.alphabet = alphabet
def code(self, text, direction):
toText = list(text)
result = []
newKey = filter(lambda x: (x in s... | Python | 57 | 26.263159 | 134 | /vigenereAutokeyCipher.py | 0.692209 | 0.688989 |
johinsDev/codewars | refs/heads/master | '''
Where my anagrams at?
http://www.codewars.com/kata/523a86aa4230ebb5420001e1/train/python
Also could construct prime list, assign each character from word to a prime number. multiply them
then divid prime number from word in words.
'''
def anagrams(word, words):
#your code here
return filter(lambd... | Python | 17 | 31.411764 | 99 | /where_my_anagrams.py | 0.687273 | 0.656364 |
johinsDev/codewars | refs/heads/master | def sierpinski(n):
result = []
for i in range(0,n+1):
if i == 0:
result.append('"')
else:
for j in range(2**(i-1),2**i):
result.append(addSpace(j,i,result))
r = result[0]
for line in result[1:]:
r= r+'\n'+line
return r
def addSpace(l,n,s... | Python | 24 | 22.416666 | 49 | /Sierpinski's Gasketr.py | 0.511586 | 0.474153 |
johinsDev/codewars | refs/heads/master | """
Validate Sudoku with size `NxN`
http://www.codewars.com/kata/540afbe2dc9f615d5e000425/train/python
"""
| Python | 4 | 26.25 | 67 | /validate_sudoku.py | 0.745455 | 0.609091 |
johinsDev/codewars | refs/heads/master | """
The Millionth Fibonacci Kata
http://www.codewars.com/kata/53d40c1e2f13e331fc000c26/train/python
"""
import math
import sys
import time
from collections import defaultdict
# following not working , took too much time to compute.
def fib(n , i):
dic = defaultdict(list)
def find_dim(k):
if k == 0:
return... | Python | 134 | 15.798508 | 72 | /millionthFib.py | 0.525732 | 0.482254 |
bhaktijkoli/python-training | refs/heads/master | # Generate a random number between 1 and 9 (including 1 and 9).
# Ask the user to guess the number, then tell them whether they
# guessed too low, too high, or exactly right.
import random as r
a = r.randint(1, 9)
def ask_user():
u = int(input("Guess the number?\n"))
if a == u:
print("Exac... | Python | 20 | 21.1 | 63 | /example25.py | 0.562771 | 0.549784 |
bhaktijkoli/python-training | refs/heads/master | # Consider that vowels in the alphabet are a, e, i, o, u and y.
# Function score_words takes a list of lowercase words as an
# argument and returns a score as follows:
# The score of a single word is 2 if the word contains an even number
# of vowels. Otherwise, the score of this word is 1 . The score for the
# who... | Python | 35 | 26.142857 | 71 | /example26.py | 0.623601 | 0.612411 |
bhaktijkoli/python-training | refs/heads/master | p = 3
n = 1
for i in range(4):
for j in range(7):
if j >= p and j <= p+n-1:
print("X", end=" ")
else:
print(" ", end=" ")
print()
p -= 1
n += 2
print("The python string multiplication way")
p = 3
n = 1
for i in range(4):
print(" " * p, end=... | Python | 22 | 15.772727 | 45 | /example10.py | 0.385604 | 0.354756 |
bhaktijkoli/python-training | refs/heads/master | import datetime as dt
today = dt.datetime.today()
for i in range(1, 6):
nextday = today + dt.timedelta(days=i)
print(nextday) | Python | 5 | 25.799999 | 42 | /example18.py | 0.664234 | 0.649635 |
bhaktijkoli/python-training | refs/heads/master | # Given the participants' score sheet for your University Sports Day,
# you are required to find the runner-up score. You are given n scores.
# Store them in a list and find the score of the runner-up.
score_str = input("Enter scores\n")
score_list = score_str.split(" ")
highestScore = 0;
rupnnerUp = 0
for sco... | Python | 19 | 28.210526 | 71 | /example23.py | 0.678322 | 0.674825 |
bhaktijkoli/python-training | refs/heads/master | # To find a factorial of a number
# 5! = 5 * 4 * 3 * 2 * 1
# fact(5) = 5 * fact(4)
# fact(4) = 4 * fact(3)
# fact(3) = 3 * fact(2)
# fact(2) = 2 * fact(1)
# fact(1) = 1
# fact(5) = 5 * 4 * 3 * 2 * 1
def fact(n):
if n == 1:
return 1
return n * fact(n-1)
n = 5
result = fact(n)
print(... | Python | 19 | 15.315789 | 33 | /example13.py | 0.449541 | 0.357798 |
bhaktijkoli/python-training | refs/heads/master | # GUI Programing
# Tkinter
import tkinter as tk
from tkinter import messagebox
## Welcome Window
def show_welcome():
welcome = tk.Tk()
welcome.title("Welcome ADMIN")
welcome.geometry("200x200")
welcome.mainloop()
## Login Window
# 1. Intialize Root Window
root = tk.Tk()
root.title("... | Python | 54 | 24.851852 | 75 | /example21.py | 0.664365 | 0.629834 |
bhaktijkoli/python-training | refs/heads/master | import datetime as dt
today = dt.datetime.today()
yesterday = today - dt.timedelta(days=1)
tomorrow = today + dt.timedelta(days=1)
print("Yesterday", yesterday)
print("Today", today)
print("Tomorrow", tomorrow) | Python | 8 | 25.5 | 40 | /example17.py | 0.715596 | 0.706422 |
bhaktijkoli/python-training | refs/heads/master | # Make a two-player Rock-Paper-Scissors game. (Hint: Ask for player
# plays (using input), compare them, print out a message of
# congratulations to the winner, and ask if the players want to start a
# new game)
def is_play_valid(play):
if play != 'rock' and play != 'paper' and play != 'scissors':
r... | Python | 45 | 26.822222 | 71 | /example24.py | 0.52973 | 0.513514 |
bhaktijkoli/python-training | refs/heads/master | l = [1, 5, 12, 2, 15, 6]
i = 0
s = 0
for i in l:
s += i
print(s)
i = 0
s = 0
while i<len(l):
s += l[i]
i += 1
print(s) | Python | 13 | 9.153846 | 24 | /example2.py | 0.370629 | 0.27972 |
bhaktijkoli/python-training | refs/heads/master | def add(a, b):
return a + b
def sub(a, b):
return a - b
def pow(a,b):
return a ** b
if __name__ != "__main__":
print("Basic Module Imported") | Python | 11 | 13.636364 | 34 | /basic.py | 0.482353 | 0.482353 |
bhaktijkoli/python-training | refs/heads/master | x = int(input("Enter a number\n"))
for i in range(x):
print(i ** 2)
| Python | 3 | 23 | 34 | /example5.py | 0.546667 | 0.533333 |
bhaktijkoli/python-training | refs/heads/master | x = 65
for i in range(5):
for j in range(i+1):
print(chr(x+j), end=" ")
print() | Python | 6 | 15.166667 | 32 | /example9.py | 0.455446 | 0.415842 |
bhaktijkoli/python-training | refs/heads/master | import datetime as dt
today = dt.datetime.today()
print("Current date and time", dt.datetime.now())
print("Current Time in 12 Hours Format", today.strftime("%I:%M:%S %p"))
print("Current year", today.year)
print("Month of the year", today.strftime("%B"))
print("Week number of the year", today.strftime("%W"))
pri... | Python | 11 | 44.81818 | 71 | /example15.py | 0.676413 | 0.672515 |
bhaktijkoli/python-training | refs/heads/master | x = int(input("Enter the value of X\n"))
if x%2 != 0:
print("Weird")
elif x >= 2 and x <= 5:
print("Not Weird")
elif x >= 6 and x<= 20:
print("Weird")
elif x > 20:
print("Not Weird") | Python | 9 | 21.111111 | 40 | /example1.py | 0.519417 | 0.475728 |
bhaktijkoli/python-training | refs/heads/master | samples = (1, 2, 3, 4, 12, 5, 20, 11, 21)
e = o = 0
for s in samples:
if s % 2 == 0:
e += 1
else:
o += 1
print("Number of even numbers : %d" % (e))
print("Number of odd numbers : %d" % (o)) | Python | 10 | 20.5 | 42 | /example6.py | 0.44843 | 0.367713 |
bhaktijkoli/python-training | refs/heads/master | # Password generator
import random as r
lenth = int(input("Enter the length of password\n"))
password = ""
for i in range(lenth):
password += chr(r.randint(33, 123))
print(password) | Python | 8 | 22.375 | 52 | /example27.py | 0.678756 | 0.65285 |
bhaktijkoli/python-training | refs/heads/master | #Write a python program to find the longest word in a file.
f = open("demo.txt", "r")
line = f.readline()
longestWord = ""
while line:
words = line.split(" ")
lineLongestWord = max(words, key=len)
if len(lineLongestWord) > len(longestWord):
longestWord = lineLongestWord
line = f.readl... | Python | 14 | 24.571428 | 59 | /example19.py | 0.648649 | 0.648649 |
bhaktijkoli/python-training | refs/heads/master | # 0 1 1 2 3 5 8
def fib(n):
a = 0
b = 1
print(a, end=" ")
print(b, end=" ")
for i in range(2, n):
c = a + b
print(c, end=" ")
a = b
b = c
n = int(input("Enter the number\n"))
fib(n) | Python | 14 | 15.785714 | 36 | /example12.py | 0.376518 | 0.336032 |
bhaktijkoli/python-training | refs/heads/master | # GUI Calculator Program
import tkinter as tk
# Intialize window
window = tk.Tk()
window.title("Calculator")
# Application Logic
result = tk.StringVar()
def add(value):
result.set(result.get() + value)
def peform():
result.set(eval(result.get()))
def clear():
result.set("")
# Initialize W... | Python | 63 | 42.111111 | 112 | /example22.py | 0.657904 | 0.60533 |
bhaktijkoli/python-training | refs/heads/master | #Write a python program to count the numbers of alphabets, digits and spaces in a file.
f = open("demo.txt", "r")
alphabets = 0
digits = 0
spaces = 0
others = 0
lines = f.readlines()
for line in lines:
for c in line:
if c.isalpha():
alphabets += 1
elif c.isdigit():
... | Python | 24 | 21.708334 | 87 | /example20.py | 0.56261 | 0.548501 |
bhaktijkoli/python-training | refs/heads/master | for i in range(5):
for j in range(i+1):
print(i+1, end=" ")
print()
print("The python way...")
for i in range(5):
print(str(str(i+1) + " ") * int(i+1)) | Python | 9 | 18.333334 | 41 | /example8.py | 0.480663 | 0.447514 |
bhaktijkoli/python-training | refs/heads/master | for i in range(5):
for j in range(5-i):
print("X", end=" ")
print()
for i in range(5):
print("X " * int(5-i)) | Python | 8 | 15.5 | 27 | /example7.py | 0.449275 | 0.42029 |
bhaktijkoli/python-training | refs/heads/master | # GUI Programing
# Tkinter
import tkinter as tk
from tkinter import messagebox
# 1. Intialize Root Window
root = tk.Tk()
root.title("Login Application")
root.geometry("200x200")
# 2. Application Logic
# 3. Intialize widgets
# 4. Placement of widgets (pack, grid, place)
# 5. Running the main loo... | Python | 20 | 15.1 | 45 | /demo.py | 0.691176 | 0.658824 |
bhaktijkoli/python-training | refs/heads/master | class Student:
def __init__(self, name, roll_no):
self.name = name
self.roll_no = roll_no
self.age = 0
self.marks = 0
def display(self):
print("Name", self.name)
print("Roll No", self.roll_no)
print("Age", self.age)
print("Marks", self.... | Python | 26 | 19.615385 | 38 | /example14.py | 0.530357 | 0.501786 |
bhaktijkoli/python-training | refs/heads/master | x = input("Enter a string \n")
d = l = 0
for c in x:
if c.isalpha():
l += 1
if c.isdigit():
d += 1;
print("Letters %d" % (l))
print("Digits %d" % (d)) | Python | 12 | 13.833333 | 30 | /example4.py | 0.425532 | 0.409574 |
bhaktijkoli/python-training | refs/heads/master | def is_leap(y):
return y % 4 == 0
y = int(input("Enter a year\n"))
if is_leap(y):
print("Leap year")
else:
print("Not a Leap Year") | Python | 8 | 17.125 | 32 | /example16.py | 0.543046 | 0.529801 |
bhaktijkoli/python-training | refs/heads/master | def checkPrime(x):
for i in range(2, x):
if x % i == 0:
print("Not a prime number")
break;
else:
print("Print number")
x = int(input("Enter any number\n"))
checkPrime(x) | Python | 10 | 20.9 | 39 | /example11.py | 0.493392 | 0.484582 |
bhaktijkoli/python-training | refs/heads/master | w = input("Enter a word")
r = "";
for a in w:
r = a + r
print(r) | Python | 6 | 10.666667 | 25 | /example3.py | 0.445946 | 0.445946 |
pedromeldola/Desafio | refs/heads/master | from django.db import models
#criação da classe com os atributos
class Jogo(models.Model):
idJogo = models.AutoField(primary_key=True)
placar = models.IntegerField()
placarMin = models.IntegerField()
placarMax = models.IntegerField()
quebraRecMin = models.IntegerField()
quebraRecMax = models.In... | Python | 13 | 28.923077 | 47 | /core/models.py | 0.705128 | 0.705128 |
pedromeldola/Desafio | refs/heads/master | from django.shortcuts import render,redirect
from .models import Jogo
from django.views.decorators.csrf import csrf_protect
#método para chamar todos os objetos que estão na classe Jogo quando entrar na home page
def home_page(request):
jogo = Jogo.objects.all()
return render (request,'home.html',{'jogo':jogo}... | Python | 44 | 37.886364 | 137 | /core/views.py | 0.696669 | 0.694331 |
pedromeldola/Desafio | refs/heads/master | # Generated by Django 3.1 on 2020-10-01 01:54
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='jogo',
name='id',
),
migr... | Python | 27 | 22.185184 | 70 | /core/migrations/0002_auto_20200930_2254.py | 0.533546 | 0.504792 |
pedromeldola/Desafio | refs/heads/master | # Generated by Django 3.1.1 on 2020-09-28 18:50
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Jogo',
fields=[
('id', models.AutoField(aut... | Python | 26 | 28.23077 | 114 | /core/migrations/0001_initial.py | 0.544737 | 0.523684 |
memogarcia/pratai-runtimes | refs/heads/master | import os
import sys
import logging
from time import time
class AppFilter(logging.Filter):
def filter(self, record):
record.function_id = os.environ.get("function_id", 'no_function_id')
record.request_id = os.environ.get("request_id", 'no_request_id')
return True
logger = logging.getLogg... | Python | 65 | 22.415384 | 109 | /runtimes/python27/server.py | 0.662073 | 0.659449 |
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