id stringlengths 1 8 | text stringlengths 6 1.05M | dataset_id stringclasses 1
value |
|---|---|---|
3385713 | from squabblegui.sqsettingswidget import SqSettingsWidget
from squabblegui.sqchatwidget import SqChatWidget
| StarcoderdataPython |
123552 |
import json
import time
import copy
import checkpoint as loader
import argparse
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
from torch.autograd import Variable
from torch import nn,optim
import torch
import torchvision
import torch.nn.functional as F
from torch import nn
from PIL impor... | StarcoderdataPython |
101238 | # -------------------------------------------------------------------------------------------------
# STRING
# -------------------------------------------------------------------------------------------------
print('\n\t\tSTRING\n')
print("Hello Word!") # first example
print('Hello Word!')... | StarcoderdataPython |
8091864 | <filename>experimental/tau_value_determination.py
"""
Script for determining the optimal tau value for the Singular Value Decomposition (SVD) unfolding.
From http://root.cern.ch/root/html/TUnfold.html:
Note1: ALWAYS choose a higher number of bins on the reconstructed side
as compared to the generated size!
No... | StarcoderdataPython |
1772800 | <filename>netforce_mfg/netforce_mfg/models/production_qc.py
# Copyright (c) 2012-2015 Netforce Co. Ltd.
#
# 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 without restriction, including witho... | StarcoderdataPython |
8180161 | <filename>ros/src/perception/src/perception/video_inference.py
import sys
from moviepy.editor import *
import perception.predict as predict
import numpy as np
import cv2
def main():
if len(sys.argv) != 2:
print("Please specify path to movie file.")
exit()
filepath = sys.argv[1]
print("Read... | StarcoderdataPython |
3425201 | <reponame>vijaykumawat256/Prompt-Summarization
def solution(roman):
| StarcoderdataPython |
1712867 | from __future__ import division
import threading
import time
from src.robot import Robot
from src.drawing import Map, Canvas
import brickpi
#Initialize the interface
interface=brickpi.Interface()
interface.initialize()
Canvas = Canvas()
Map = Map(Canvas)
Robot = Robot(interface,
pid_config_file="speed... | StarcoderdataPython |
168189 | <gh_stars>0
import setuptools
with open("../readme.md", "r") as f:
long_description = f.read()
setuptools.setup(
name="a9a",
version="0.0.2",
author="<NAME>",
description="a9a archivator",
long_description=long_description,
long_description_content_type="text/markdown",
packages=setupt... | StarcoderdataPython |
99350 | <filename>tests/elements/test_sextupole.py
from unittest import TestCase
import numpy as np
from pyaccelerator.elements.sextupole import SextupoleThin
class TestSextupoleThin(TestCase):
def test_init(self):
sextupole = SextupoleThin(1)
assert sextupole.length == 0
assert sextupole.name.s... | StarcoderdataPython |
298639 | #Edited 12/3/17 <NAME>
#Functions used to set up the algorithm and perform checks on the given
#variables
import scipy
import numpy
import sys
import random
import QJMCAA
import QJMCMath
#TESTED
def dimensionTest(H,jumpOps,eOps,psi0):
#Compare all to the hamiltonian
dim = H.get_shape()
c = 0
for item in jumpOps:... | StarcoderdataPython |
1883962 | from pandas import DataFrame
from engine.pkmn.types.TypesBaseRuleSet import TypesBaseRuleSet
from models.pkmn.types.PokemonType import PokemonType
class ClassicTypesRuleSet(TypesBaseRuleSet):
def __init__(self):
# Init all at 1
type_effectiveness_chart = DataFrame({ref_pkmn_type: {pkmn_type: floa... | StarcoderdataPython |
9779959 | <gh_stars>0
import json
def handler(context, event):
# for object bodies, just take it as is. otherwise decode
if not isinstance(event.body, dict):
body = event.body.decode('utf8')
else:
body = event.body
return json.dumps({
'id': event.id,
'triggerClass': event.trigge... | StarcoderdataPython |
3305951 | <filename>sherry/inherit/__init__.py
# encoding=utf-8
"""
create by pymu
on 2021/5/30
at 21:37
""" | StarcoderdataPython |
1842147 | """
Overview
========
This module implements the INSERT mode that implements the functionality of inserting chars
in the AreaVi instances.
Key-Commands
============
Namespace: insert-mode
Mode: NORMAL
Event: <Key-i>
Description: Get the focused AreaVi instance in INSERT mode.
"""
def insert(area):
area.chmode(... | StarcoderdataPython |
11245260 | from .markdownify import markdownify
| StarcoderdataPython |
3448895 | <gh_stars>1-10
# -*- coding: utf-8 -*-
def main():
from itertools import combinations
n, m = map(int, input().split())
a = [list(map(int, input().split())) for _ in range(n)]
ans = 0
for t1, t2 in list(combinations(range(m), 2)):
summed = 0
for i in range(n):
... | StarcoderdataPython |
8058579 | <reponame>EvictionLab/eviction-lab-etl<gh_stars>1-10
import sys
import pandas as pd
from data_constants import COLUMN_ORDER
if __name__ == '__main__':
df = pd.read_csv(
sys.stdin,
dtype={
'GEOID': 'object',
'name': 'object',
'parent-location': 'object'
})... | StarcoderdataPython |
3313936 | <reponame>dmft-wien2k/dmft-wien2k-v2<filename>script/gsl.py
#! /usr/bin/env python
# -*- coding: utf-8 -*-
###
#
# @file gsl.py
#
# DMFT is a software package provided by Rutgers Univiversity,
# the State University of New Jersey
#
# @version 1.0.0
# @author <NAME> and <NAME>
# @date 2016-02-15
#
###
from utils impo... | StarcoderdataPython |
5003398 | <gh_stars>1-10
{
'targets':
[
{
# Needed declarations for the target
'target_name': 'bluetooth',
'conditions': [
[ 'OS=="freebsd" or OS=="openbsd" or OS=="solaris" or (OS=="linux")', {
'sources': [ "bluetooth.cc" ],
'libraries': ['-lopenobex', '-lobexftp', '-l... | StarcoderdataPython |
5175383 | from . import _loader
def init():
_loader.init()
| StarcoderdataPython |
182369 | <filename>tests/simsample.py
import numpy as np
from baggingrnet.data.simulatedata import simData
from sklearn.model_selection import train_test_split
nsample=12000
simdata=simData(nsample)
simdata['gindex']=np.array([i for i in range(nsample)])
trainIndex, testIndex = train_test_split(range(nsample),test_size=0.2)
... | StarcoderdataPython |
4944103 | import os
from functools import wraps
import subprocess
from flask import Flask, request, session, g, redirect, url_for, abort, \
render_template, flash, jsonify, Response
from deploy import commands
app = Flask('deploy.default_settings')
app.config.from_object(__name__)
app.config.from_envvar('DEPLOY_SETTINGS'... | StarcoderdataPython |
1654450 | <reponame>FreddyWordingham/arctk
import numpy as np
from math import pi as PI
import math
from scipy.special import gammainc
from matplotlib import pyplot as plt
import csv
def sample(center,radius,n_per_sphere):
r = radius
ndim = center.size
x = np.random.normal(size=(n_per_sphere, ndim))
#print("x", x... | StarcoderdataPython |
3375078 | <gh_stars>1-10
"""Testing that the files can be accessed and are non-empty."""
import target_finder_model as tfm
def test_constants():
"""Test constants packaged with tfm"""
assert tfm.CROP_SIZE[0] == tfm.CROP_SIZE[1]
assert tfm.CROP_OVERLAP < tfm.CROP_SIZE[0]
assert tfm.DET_SIZE[0] == tfm.DET_SIZE[... | StarcoderdataPython |
1981357 | <reponame>freepvps/hsesamples
s = 'abc'
s2 = f'{print(s)}'
print(s2)
def f():
print('a')
print(f())
| StarcoderdataPython |
6669318 | # Copyright 2016-2020 Blue Marble Analytics LLC. All rights reserved.
"""
**Relevant tables:**
+--------------------------------+------------------------------------------------+
|:code:`scenarios` table column |:code:`project_specified_capacity_scenario_id` |
+--------------------------------+--------------------... | StarcoderdataPython |
3255034 | <gh_stars>1-10
# Copyright © 2012-2018 <NAME> <<EMAIL>>
#
# 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 without restriction, including without limitation the rights
# to use, copy, modify, ... | StarcoderdataPython |
6644131 | <reponame>wwselleck/OpenFuji
from __future__ import unicode_literals, absolute_import
import six
from jaraco.collections import KeyTransformingDict
from . import strings
class IRCDict(KeyTransformingDict):
"""
A dictionary of names whose keys are case-insensitive according to the
IRC RFC rules.
>>> ... | StarcoderdataPython |
1805130 | <filename>gnome/correlation/script.py<gh_stars>0
import pickle
import openpyxl
def fetch_file(path):
with open(path, 'rb') as fp:
file = pickle.load(fp)
return file
RELATIVE_PATH = "/home/imlegend19/PycharmProjects/Research - Data Mining/gnome/"
wb = openpyxl.Workbook()
sheet = wb.active
titles ... | StarcoderdataPython |
5036115 | """
:type prices: List[int]
:rtype: int
"""
class Solution:
def maxProfit(self, prices):
max = 0
min = 100000
for i in range(len(prices)):
if prices[i] < min:
min = prices[i]
if prices[i] - min > max:
max = prices[i] - min
... | StarcoderdataPython |
6608698 | from setuptools import setup, find_packages
setup(
name='controllerlibs',
version='0.1.0',
description='shared libraries of controller',
url='',
author='<NAME>',
author_email='<EMAIL>',
license='',
keywords='',
packages=find_packages(),
install_requires=[
"Flask>=1.0",
... | StarcoderdataPython |
9782839 | <gh_stars>1000+
import logging
log = logging.getLogger(__name__)
__version__ = '0.9.0'
try:
from plex.client import Plex
except Exception as ex:
log.warn('Unable to import submodules - %s', ex, exc_info=True)
| StarcoderdataPython |
9656594 | # Generated by Django 3.0.6 on 2020-07-09 11:02
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("discount", "0019_auto_20200217_0350"),
]
operations = [
migrations.AlterModelOptions(
name="vouchercustomer",
options={"orde... | StarcoderdataPython |
9626733 | import simplejson
import cgi
class JSONFilter(object):
def __init__(self, app, mime_type='text/x-json'):
self.app = app
self.mime_type = mime_type
def __call__(self, environ, start_response):
# Read JSON POST input to jsonfilter.json if matching mime type
response = {'status': ... | StarcoderdataPython |
5044883 | # coding: utf-8
from __future__ import annotations
from datetime import date, datetime # noqa: F401
import re # noqa: F401
from typing import Any, Dict, List, Optional # noqa: F401
from pydantic import AnyUrl, BaseModel, EmailStr, validator # noqa: F401
from acapy_wrapper.models.ld_proof_vc_detail import LDProof... | StarcoderdataPython |
8149030 | <gh_stars>0
#Create Layout for impedance parameters
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.label import Label
from kivy.uix.textinput import TextInput
from kivy.uix.widget import Widget
from kivy.uix.button import Button
from kivy.uix.modalview import ModalView
from kivy.uix.spinner import Spinner
fr... | StarcoderdataPython |
11237459 | <reponame>ICRC-BME/epycom
# -*- coding: utf-8 -*-
# Copyright (c) St. Anne's University Hospital in Brno. International Clinical
# Research Center, Biomedical Engineering. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# Std imports
# Third pary imports
import pandas as... | StarcoderdataPython |
3253339 | # * -- utf-8 -- * # python3
# Author: Tang Time:2018/4/17
import math
for i in range(100000):
x = int(math.sqrt(i+100))
y = int(math.sqrt(i+268))
if (x*x == i+100) and (y*y ==i+268):
print(i)
'''简述：一个整数，它加上100和加上268后都是一个完全平方数 提问：请问该数是多少？''' | StarcoderdataPython |
4917335 | <reponame>dhruvilgandhi/DSA-Together-HacktoberFest
#https://practice.geeksforgeeks.org/problems/find-pair-given-difference1559/1#
# Approach :
# Using Two Pointer techq
# Sort the array before applying two pointer approach
class Solution:
def findPair(self, arr, L,N):
arr.sort()
i,j = 0... | StarcoderdataPython |
194056 | <filename>examples/legacy_examples/dagster_examples/gcp_data_platform/simple_pipeline.py
import datetime
import os
from dagster_gcp.bigquery.resources import bigquery_resource
from dagster_gcp.dataproc.resources import DataprocResource
from google.cloud.bigquery.job import LoadJobConfig, QueryJobConfig
from dagster i... | StarcoderdataPython |
11218783 | <gh_stars>1-10
import logging
try:
import json
except ImportError:
import simplejson as json
from pylons import request, response, session, tmpl_context as c, url
from pylons.controllers.util import abort, redirect
from nipapwww.lib.base import BaseController, render
from pynipap import Tag, VRF, Prefix, Pool... | StarcoderdataPython |
6480158 | # hello world code for driving robot
from modules.default_config import motion
motion.can.iface = 'can0'
@_core.init_task
def _():
_e.r.conf_set('send_status_interval', 10)
_e.r.accel(400)
| StarcoderdataPython |
8069630 | <filename>ghostdr/ghost/recipes/test/149_masterArc_test.py
#!python
import os
import glob
import shutil
import re
import numpy as np
import pytest
import itertools
import astrodata
from gempy.utils import logutils
from recipe_system.reduction.coreReduce import Reduce
from recipe_system.utils.reduce_utils import norma... | StarcoderdataPython |
68886 | <gh_stars>0
from django.test import TestCase
from django.test.client import Client
from google_analytics.utils import COOKIE_NAME
from urlparse import parse_qs
class GoogleAnalyticsTestCase(TestCase):
def SetUp(self):
pass
def test_cookies_set_properly(self):
client = Client()
respons... | StarcoderdataPython |
105416 |
def reverse(x):
"""
:type x: int
:rtype: int
"""
if x < 0:
x = str(x)[:0:-1]
x = int("-" + x)
else:
x = str(x)[::-1]
x = int(x)
if x > 2**31 - 1 or x < -2**31:
return 0
return x
if __name__ == '__main__':
x = 1534236469
y = reverse(x)
pri... | StarcoderdataPython |
1942957 |
## Quantile regression
#
# This example page shows how to use ``statsmodels``' ``QuantReg`` class to replicate parts of the analysis published in
#
# * <NAME> and <NAME>. "Quantile Regressioin". Journal of Economic Perspectives, Volume 15, Number 4, Fall 2001, Pages 143–156
#
# We are interested in the relationsh... | StarcoderdataPython |
5029790 | <reponame>kristiewirth/dst<gh_stars>0
import os
from collections import Counter
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import progressbar
import seaborn as sns
class Eda:
"""
Exploratory data analysis (EDA)
"""
def separate_cols_by_type(self, df):
"""
... | StarcoderdataPython |
1992986 | <gh_stars>0
def compute_fine(actual_date, expected_date):
fine = 0
if actual_date[2] <= expected_date[2] and actual_date[1] <= expected_date[1] and actual_date[0] <= expected_date[0]:
# Actual date is on or before expected date
fine = 0
elif actual_date[0] > expected_date[0] and actual_date[1] == expected_date[... | StarcoderdataPython |
11371570 | <filename>fastaProcessing/fastaAlnCut.py<gh_stars>0
#!/usr/bin/env python
'''
1. fasta file (assume already aligned)
2. start (1-based)
3. end
'''
from sys import argv, exit
from Bio import SeqIO
from os import system
try:
fname = argv[1]
start = int(argv[2])
end = int(argv[3])
except:
exit(__doc__)... | StarcoderdataPython |
5092783 | # Character field ID when accessed: 103000003
# ObjectID: 0
# ParentID: 103000003
| StarcoderdataPython |
168918 | from cStringIO import StringIO
from ceph_deploy.hosts import remotes
class TestObjectGrep(object):
def setup(self):
self.file_object = StringIO('foo\n')
self.file_object.seek(0)
def test_finds_term(self):
assert remotes.object_grep('foo', self.file_object)
def test_does_not_fin... | StarcoderdataPython |
48355 | import datetime
from django.test import TestCase
from ..utils import get_fiscal_year, Holiday
import logging
logger = logging.getLogger(__name__)
__author__ = 'lberrocal'
class TestUtils(TestCase):
def test_get_fiscal_year(self):
cdates = [[datetime.date(2015, 10, 1), 'AF16'],
[datetime.... | StarcoderdataPython |
3460556 | <reponame>teodorpatras/crate-bench
import os
from crate import client
from bench import importers, downloader
FIXTURES_URL = "https://www.vbb.de/media/download/2029"
IMPORT_MAPPING = {
'agency.txt': importers.AgenciesImporter,
'calendar_dates.txt': importers.CalendarDatesImporter,
'calendar.txt': importers... | StarcoderdataPython |
3286742 | <filename>mqttassistant/app.py
import asyncio
import signal
from . import mqtt
from . import web
from .config import Config
from .dispatch import Signal
from .log import get_logger
from .warn import configure_warnings
configure_warnings()
class Application:
def __init__(self, **kwargs):
self.logger = ge... | StarcoderdataPython |
1912628 | <reponame>davewood/do-portal
import os
from flask import request, current_app, g
from app import db
from app.core import ApiResponse, ApiPagedResponse
from app.models import Sample, Permission
from app.api.decorators import permission_required
from app.tasks import analysis
from app.utils import get_hashes
from . impor... | StarcoderdataPython |
8011746 | <reponame>neerbek/taboo-selective
# -*- coding: utf-8 -*-
"""
Created on October 3, 2017
@author: neerbek
Trains a RNN flat model on input list of trees and embeddings
"""
import sys
from numpy.random import RandomState # type: ignore
import numpy as np
import ai_util
import jan_ai_util
import rnn_model.rnn
import... | StarcoderdataPython |
4924613 | <reponame>zuru/MappedConvolutions
import torch
import torch.nn as nn
import math
import _mapped_convolution_ext._weighted_mapped_avg_pooling as weighted_mapped_avg_pool
import _mapped_convolution_ext._mapped_avg_pooling as mapped_avg_pool
import _mapped_convolution_ext._resample as resample
from .layer_utils import *... | StarcoderdataPython |
9771030 | from django.shortcuts import render
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from django.views.generic import View
from django.contrib.auth import login, logout
from django.contrib.auth.hashers import check_password
from apps.goods.models import GoodsType
from apps.user... | StarcoderdataPython |
3205005 | """Tic Tac Toe."""
from game import Game
import sys
class TicTacToe(Game):
"""Tic Tac Toe game class."""
def __init__(self):
"""Construct new tictactoe game instance."""
self.board = ['-', '-', '-', '-', '-', '-', '-', '-', '-']
self.player = 'X'
self.winner = None
def ... | StarcoderdataPython |
11283611 | <filename>download.py
import argparse
import asyncio
import hashlib
from urllib.parse import urlsplit
import aiohttp
chunk_size = 1_024 # Set to 1 KB chunks
async def download_url(url, destination):
print(f'Downloading {url}')
file_hash = hashlib.sha256()
with open(destination, 'wb') as file:
a... | StarcoderdataPython |
357429 | <reponame>vitekcode/premise
from pathlib import Path
import numpy as np
import pandas as pd
import wurst
import yaml
from schema import And, Optional, Or, Schema, Use
from .ecoinvent_modification import (
LIST_IMAGE_REGIONS,
LIST_REMIND_REGIONS,
SUPPORTED_EI_VERSIONS,
)
from .transformation import *
from ... | StarcoderdataPython |
3532458 | <gh_stars>1-10
"""
A circular racetrack has N runners on it, all running at distinct
constant speeds in the same direction. There is only one spot along
the track (say, the starting line) where any runner is allowed to
pass any other runner; if two runners "collide" at any other point
along the circle, then the race is... | StarcoderdataPython |
3210119 | from functions import *
##El conjunto a analizar es:
#Conjunto = [2,4,6,9,12,18,27,36,48,60,72]
#Prueba de que no cumple ningun orden
#Conjunto = [0,1,2,3]
#Relación =[(0,0),(0,1),(0,2),(0,3),(1,0),(1,1),(1,2),(1,3),(2,0),(2,2),(3,3)]
#Prueba relacion de equivalencia
#Conjunto =['a','b','c','d']
#Relación =[('a','a... | StarcoderdataPython |
11204367 | #!/usr/bin/env python
# This example demonstrates the use of 2D text the old way by using a
# vtkTextMapper and a vtkScaledTextActor.
import vtk
# Create a sphere source, mapper, and actor
sphere = vtk.vtkSphereSource()
sphereMapper = vtk.vtkPolyDataMapper()
sphereMapper.SetInputConnection(sphere.GetOutputPort())
s... | StarcoderdataPython |
6697978 | <gh_stars>1-10
import os.path
import gzip
from itertools import izip
folder = 'noEvolve3/'
treatment_postfixes = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 30, 40, 60, 80, 100]
slrs = [15]
partners = ["Host", "Sym"]
reps = range(10,21)
#reps = range(1001, 1021)
final_update = 3
header = "uid smoi slr rep update host_... | StarcoderdataPython |
9614180 | """
Clean the data
"""
from paths import *
import os
import emoji
import string
from datetime import datetime
import re
import nltk
from pickle import dump
from multiprocessing import Pool
import random
from my_random import SEED
def clean_a_line(line, eng_words, remove_non_eng_words=False):
"""
Clean a singl... | StarcoderdataPython |
9651317 | # encoding: utf-8
"""
Tests of the "software" module
"""
from datetime import date
import json
from fairgraph.software import Software, OperatingSystem, SoftwareCategory, ProgrammingLanguage, License
from fairgraph.core import Person, Organization
from fairgraph.commons import License
try:
import pyxus
have_py... | StarcoderdataPython |
95179 | <filename>lenstronomywrapper/Sampler/launch_script.py
from lenstronomywrapper.Sampler.run import run
import sys
import os
from time import time
#job_index = int(sys.argv[1])
job_index = 1
# the name of the folder containing paramdictionary files
chain_ID = 'B1422'
# where to generate output files
#out_path = '/scrat... | StarcoderdataPython |
394577 | <gh_stars>10-100
#!/usr/bin/env python
array = [
{
'fips': '01',
'abbr': 'AL',
'name': 'Alabama',
},
{
'fips': '02',
'abbr': 'AK',
'name': 'Alaska',
},
{
'fips': '04',
'abbr': 'AZ',
'name': 'Arizona',
},
{
'fips': '05',
'abbr': 'AR',
'name': 'Arkansas',
},
{
'fips': '06',
'abbr': '... | StarcoderdataPython |
4854629 | import os
from torch.utils.data import Dataset
from PIL import Image
class SuperviselyPersonDataset(Dataset):
def __init__(self, imgdir, segdir, transform=None):
self.img_dir = imgdir
self.img_files = sorted(os.listdir(imgdir))
self.seg_dir = segdir
self.seg_files = sorted(os.listd... | StarcoderdataPython |
8053988 | import numpy as np
import torch
import torch.nn.functional as F
import torch.nn as nn
import sys
from torch.autograd import Variable
import math
def flip(x, dim):
xsize = x.size()
dim = x.dim() + dim if dim < 0 else dim
x = x.contiguous()
x = x.view(-1, *xsize[dim:])
x = x.view(x.size(0), x.size(1... | StarcoderdataPython |
3598801 | <filename>util/tFunctions.py
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
from collections import Counter
from typing import List
from azure.quantum.optimization import Term
def tOrder ( terms0 : Term ) -> int :
if len ( terms0.ids ) == 0 :
return ( 0 )
return ( Counter ( ... | StarcoderdataPython |
3406536 | <reponame>egor5q/zombiedef
# -*- coding: utf-8 -*-
import os
import telebot
import time
import telebot
import random
import info
import threading
from emoji import emojize
from telebot import types
from pymongo import MongoClient
token = os.environ['TELEGRAM_TOKEN']
bot = telebot.TeleBot(token)
client=MongoClient(o... | StarcoderdataPython |
1774171 | <gh_stars>1-10
from gym.envs.registration import register
register(
id='Drawenv-v0',
entry_point='draw_gym.draw_env:DrawEnv',
max_episode_steps=10,
reward_threshold=0.0,
) | StarcoderdataPython |
3410060 | <reponame>WitnessNR/Updated_WiNR
from numba import njit
import numpy as np
import matplotlib.pyplot as plt
from solve import *
# from tensorflow.contrib.keras.api.keras.models import Sequential
# from tensorflow.contrib.keras.api.keras.layers import Dense, Dropout, Activation, Flatten, GlobalAveragePooling2D, Lambda
... | StarcoderdataPython |
3380640 | <reponame>ViviHong200709/EduCDM
# coding: utf-8
# 2021/6/19 @ tongshiwei
from EduCDM.IRR import MIRT
import logging
from longling.lib.structure import AttrDict
from longling import set_logging_info
from EduCDM.IRR import pair_etl as etl, point_etl as vt_etl, extract_item
set_logging_info()
params = AttrDict(
ba... | StarcoderdataPython |
11332860 | #
# Copyright (c) 2017 Orange.
#
# 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 agre... | StarcoderdataPython |
11381287 | <filename>pdb_profiling/viewer.py
# @Created Date: 2020-10-21 09:09:05 pm
# @Filename: viewer.py
# @Email: <EMAIL>
# @Author: <NAME>
# @Last Modified: 2020-10-21 09:09:10 pm
# @Copyright (c) 2020 MinghuiGroup, Soochow University
from pandas import isna, DataFrame
from pdb_profiling.utils import expand_interval
from pd... | StarcoderdataPython |
1698160 | <reponame>cmsong111/NJ_code
a= int(input())
print('%X'% a)
| StarcoderdataPython |
3386126 | <gh_stars>1-10
import tensorflow as tf
from tensorflow.keras.applications import MobileNetV2
from tensorflow.keras.models import Model
train_loss_tracker = tf.keras.metrics.Mean()
val_loss_tracker = tf.keras.metrics.Mean()
train_acc_tracker = tf.keras.metrics.SparseCategoricalAccuracy()
val_acc_tracker = tf.keras.met... | StarcoderdataPython |
11391149 | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/00b_inference.export.ipynb (unless otherwise specified).
__all__ = ['get_information']
# Cell
from fastai.vision.all import *
# Cell
def _gen_dict(tfm):
"Grabs the `attrdict` and transform name from `tfm`"
tfm_dict = attrdict(tfm, *tfm.store_attrs.split(','))
... | StarcoderdataPython |
9635805 | <gh_stars>1-10
import numpy as np
def init_pop(n_pop, n_var, xl, xu):
"""
Initialize a population with uniform distribution
parameter
----------
n_pop: int
population size
n_var: int
number of decision variables
xl, xu: float
lower and upper boundary of decision variables... | StarcoderdataPython |
3318163 | <gh_stars>1-10
def output_gpx(points, output_filename):
"""
Output a GPX file with latitude and longitude from the points DataFrame.
"""
from xml.dom.minidom import getDOMImplementation
def append_trkpt(pt, trkseg, doc):
trkpt = doc.createElement('trkpt')
trkpt.setAttribute('lat', '%... | StarcoderdataPython |
8088916 | <reponame>alviproject/alvi
def create_node(pipe, id, parent_id, value):
pipe.send('create_node', (id, ), dict(
id=id,
parent_id=parent_id,
value=value,
))
def update_node(pipe, id, value):
pipe.send('update_node', (id, ), dict(
id=id,
value=value,
))
def remov... | StarcoderdataPython |
11382161 | <gh_stars>10-100
import unittest
import ctypes as ct
from ctree.c.nodes import *
class TestSymbols(unittest.TestCase):
def _check(self, actual, expected):
self.assertEqual(actual.codegen(), expected)
def test_symbolref(self):
ref = SymbolRef("foo")
self._check(ref, "foo")
def te... | StarcoderdataPython |
8192514 | # 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! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from . import utilities, tables
class GetInst... | StarcoderdataPython |
164152 | <gh_stars>0
import machine, network, ubinascii, ujson, urequests
WiFi = network.WLAN(network.STA_IF)
mac = ubinascii.hexlify(network.WLAN().config("mac"),":").decode()
print("MAC address: " + mac)
def connect():
import network, utime
WiFi = network.WLAN(network.STA_IF)
if not WiFi.isconnected():... | StarcoderdataPython |
244390 | # -*- coding: utf-8 -*-
import re
# All of the variables available in a PKGBUILD
PB_VARIABLES = [
# String variables
'pkgver', 'pkgrel', 'pkgdesc', 'url', 'epoch', 'pkgbase',
# Bash Array variables
'pkgname', 'license', 'source', 'groups', 'arch', 'depends',
'makedepends', 'checkdepends', 'optdepe... | StarcoderdataPython |
9719582 | <reponame>marstr/azure-cli-dev-tools
# -----------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------... | StarcoderdataPython |
4974001 | import hashlib
import json
from time import time
from uuid import uuid4
from urllib.parse import urlparse
import requests
class Blockchain(object):
def __init__(self):
# Initiates the blockchain
self.chain = []
self.current_transactions = []
# Creating a genesis block
se... | StarcoderdataPython |
6658877 | """
Comparing optimizers
=====================
Comparison of optimizers on various problems.
"""
import functools
import pickle
import numpy as np
from scipy import optimize
from joblib import Memory
from cost_functions import mk_quad, mk_gauss, rosenbrock,\
rosenbrock_prime, rosenbrock_hessian, LoggingFunction,... | StarcoderdataPython |
11278559 | <reponame>raufer/pytheater
from pytheater.actor import Actor
class AnonymousActor(Actor):
async def receive(self, message, sender=None):
return message
| StarcoderdataPython |
3231783 | '''
Created on Nov 12, 2016
@author: jeanl
'''
import FlightDB as fDB
from Midterm_Graph import *
DBAddress = './Database/Graph.db'
AirAddress = './Database/AirportData.csv'
FlyAddress = './Database/FlightData.csv'
folder_name = './Database'
# Make a Database
database = fDB.FlightDB(folder_name)
GraphAddress = 'C:\... | StarcoderdataPython |
9692336 | <gh_stars>1000+
import collections
import os
import six
import yaml
from copy import deepcopy
from geodata.address_formatting.formatter import AddressFormatter
from geodata.configs.utils import recursive_merge, DoesNotExist
from geodata.encoding import safe_encode
this_dir = os.path.realpath(os.path.dirname(__file_... | StarcoderdataPython |
9778361 | import __main__
from threading import Thread
import dbus
from dbus.mainloop.glib import DBusGMainLoop
from gi.repository import GLib
from gi.repository import GObject
try:
DBusGMainLoop(set_as_default=True)
GObject.threads_init()
dbus.mainloop.glib.threads_init()
dbus_loop = DBusGMainLoop()
DBUS_BU... | StarcoderdataPython |
286051 | #Shipping Accounts App
#Define list of users
users = ['eramom', 'footea', 'davisv', 'papinukt', 'allenj', 'eliasro']
print("Welcome to the Shipping Accounts Program.")
#Get user input
username = input("\nHello, what is your username: ").lower().strip()
#User is in list....
if username in users:
#print a price ... | StarcoderdataPython |
8171230 | <filename>all.py
# all.py made for the DSS project.
# Written by A.E.A.E, To be committed on Github
# Imports
from sklearn.datasets import load_digits
from sklearn.linear_model import LogisticRegression
from sklearn.neighbors import KNeighborsClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.m... | StarcoderdataPython |
5044605 | nombre = 'Soto'
lugar = 'San Telmo'
hora = '3 de la mañana'
comida = 'mondiola'
# los %s sereemplazan con las cadenas del final, en el orden en que aparecen.
print('Hola, %s, te invito a una fiesta en %s, mañana a las %s. Traé %s.' % (nombre, lugar, hora, comida))
| StarcoderdataPython |
5073587 | <filename>team7/notmain.py<gh_stars>1-10
import webbrowser
webbrowser.open("https://www.youtube.com/watch?v=z8ZqFlw6hYg")
while True:
print("ValueError: ctypes objects containing pointers cannot be pickled")
| StarcoderdataPython |
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