seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73907153148 | import tkinter as tk
import os
from style import fnt, ACTIVE_BG, BG, FG, ACCENT
class Option(tk.Checkbutton):
def __init__(self, parent, filename):
# Pull option content from file
with open(filename, 'r') as f:
self.content = f.readlines()
# Grab description of option f... | johnathan-coe/TexInit | widgets.py | widgets.py | py | 1,828 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.Checkbutton",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tkinter.IntVar",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "style.FG",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "style.fnt",
"line... |
72699110267 | import os
import requests
class RegistryHandler(object):
get_repos_url = '/v2/_catalog'
get_tags_url = '/v2/{repo}/tags/list'
get_digests_url = '/v2/{repo}/manifests/{tag}'
delete_digest_url = '/v2/{repo}/manifests/{digest}'
def __init__(self, host):
self.host = host
def get_repos(se... | zzyy8678/stady_python | delete_regestry.py | delete_regestry.py | py | 2,144 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.delete",
"line_nu... |
35282991136 | import subprocess
import argparse
import datetime
import json
import time
def get_options():
parser = argparse.ArgumentParser(
description='Provision a Kubernetes cluster in GKE.')
parser.add_argument(
'-c', '--cluster', type=str, default=None,
help='K8s cluster to configure'
)
... | NVIDIA/nvindex-cloud | provision/gke/finalize.py | finalize.py | py | 2,346 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "subprocess.CalledProcessError",
"line_number": 32,
"usage_type": "attribute"
},
{
... |
30358219721 | import unittest
from traits.api import HasTraits, Int, Str, Tuple
from traitsui.api import Item, View
from traits.testing.api import UnittestTools
from traitsui.tests._tools import (
BaseTestMixin,
create_ui,
requires_toolkit,
reraise_exceptions,
ToolkitName,
)
class TupleEditor(HasTraits):
... | enthought/traitsui | traitsui/tests/editors/test_tuple_editor.py | test_tuple_editor.py | py | 2,229 | python | en | code | 290 | github-code | 6 | [
{
"api_name": "traits.api.HasTraits",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "traits.api.Tuple",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "traits.api.Int",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "traits.api.S... |
14505164780 | import typing
from qittle.http.client import ABCHTTPClient, AiohttpClient
from .abc import ABCSessionManager
class SessionManager(ABCSessionManager):
def __init__(self, http_client: typing.Optional[typing.Type[ABCHTTPClient]] = None):
self.http_client = http_client or AiohttpClient
self.... | cyanlabs-org/qittle | qittle/http/session/manager.py | manager.py | py | 621 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "abc.ABCSessionManager",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "typing.Type",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "qittle.http.... |
26038424036 | from __future__ import annotations
from typing import ClassVar
from pants.core.util_rules.environments import EnvironmentField
from pants.engine.target import (
COMMON_TARGET_FIELDS,
BoolField,
Dependencies,
DictStringToStringField,
IntField,
MultipleSourcesField,
SpecialCasedDependencies,... | pantsbuild/pants | src/python/pants/backend/adhoc/target_types.py | target_types.py | py | 12,321 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.engine.target.Dependencies",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pants.engine.target.StringField",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.ClassVar",
"line_number": 27,
"usage_type": "name"
},
{
"... |
2578089451 | from collections import defaultdict
def func(nums1, nums2):
hash = defaultdict(int)
while nums1:
np1 = nums1.pop()
hash[np1[0]] += np1[1]
while nums2:
np2 = nums2.pop()
hash[np2[0]] += np2[1]
return sorted([[key, value] for key, value in hash.items()])
... | mayo516/Algorithm | 주리머/2-2w/wc/(성공) 6362. Merge Two 2D Arrays by Summing Values.py | (성공) 6362. Merge Two 2D Arrays by Summing Values.py | py | 409 | python | en | code | null | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 3,
"usage_type": "call"
}
] |
28158074215 | """Destroy unused AMIs in your AWS account.
Usage:
ami_destroyer.py <requiredtag> [options]
Arguments:
<requiredtag> Tag required for an AMI to be cleaned up in the form tag:NameOfTag
Options:
--retain=<retain> Number of images to retain, sorted newest to latest [default: 2]
-... | crielly/amidestroyer | amidestroyer.py | amidestroyer.py | py | 4,275 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "logging.Logger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
... |
3625906365 | from django.shortcuts import render, redirect, get_object_or_404
from django.views.generic import DetailView, View, UpdateView, ListView, TemplateView
from django.core.urlresolvers import reverse
from django.urls import reverse_lazy
from django.contrib import messages
from django.http import Http404
from .models impor... | tegarty/E-Commerce_django | orders/views.py | views.py | py | 8,371 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.views.generic.View",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "models.Checkout.objects.filter",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "models.Checkout.objects",
"line_number": 49,
"usage_type": "attribute"
},
{
... |
4222865674 | #!usr/bin/python
import os
import SimpleITK as sitk
import numpy as np
import scipy.ndimage.interpolation
import skimage.exposure
import skimage.filters
import skimage.transform
path="//Users//zhangyuwei//Desktop//test"
ShrinkFactor = 4
for i in os.walk(path):
for j in range(len(i[2])):
... | 20zzyw/Radiomic-Toolbox | N4ITK_instance.py | N4ITK_instance.py | py | 4,354 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.walk",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext",
"line_nu... |
35383876896 | import json
from random import randint
import discord
from discord.ext import tasks, commands
def getData():
with open("data.json", "r") as levelsFile:
return json.loads(levelsFile.read())
def setData(_dict):
with open("data.json", "w") as levelsFile:
levelsFile.write(json.dumps(_dict))
l... | JONKKKK/Codes | 2MS2A/dnd.py | dnd.py | py | 7,250 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Cog",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.comma... |
13276813866 | import sys
from os.path import join
from PyQt5 import uic
from PyQt5.QtWidgets import QApplication, QMainWindow, QPushButton, QListWidgetItem, QWidget
from PyQt5.QtGui import QPixmap
from PyQt5.QtCore import Qt
import sqlite3
from functools import partial
class EditInfo(QWidget):
def __init__(self, id) -> None:
... | QBoff/Moscow-Kiper | task5/main.py | main.py | py | 5,993 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.uic.loadUi",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.join",
... |
31791424883 | import setuptools
with open('README.md', 'r') as fh:
long_description = fh.read()
setuptools.setup(
name='bhamcal',
version='0.1',
license='GPL 3',
python_requires='>=3',
author='Justin Chadwell',
author_email='jedevc@gmail.com',
url='https://github.com/jedevc/bhamcal',
descripti... | jedevc/bhamcal | setup.py | setup.py | py | 881 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 20,
"usage_type": "call"
}
] |
23142628393 | # Neuon AI - PlantCLEF 2020
import tensorflow as tf
from preprocessing import inception_preprocessing
slim = tf.contrib.slim
import numpy as np
import cv2
from nets.inception_v4 import inception_v4
from nets import inception_utils
from PIL import Image
from six.moves import cPickle
import pandas as pd
from sklearn.met... | NeuonAI/plantclef2020_challenge | validate_image.py | validate_image.py | py | 9,376 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "tensorflow.contrib",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "six.moves.cPickle.load",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "six.moves.cPickle",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "panda... |
25798704755 | #! python3
import sys
import win32api
from PyQt5.QtWidgets import QApplication, QWidget, \
QToolTip, QPushButton, QMessageBox, QDesktopWidget, \
QMainWindow, QAction, QMenu, QStatusBar
from PyQt5.QtGui import QIcon, QFont
from PyQt5.QtCore import QCoreApplication
'''
#面向过程
app = QApplication(sys.argv)
w = QWid... | JcobCN/PyLearn | pyQt5.py | pyQt5.py | py | 3,718 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QToolTip.setFont",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QToolTip",
"line_number": 32,
"usage_type": "name"
},
{
... |
34777830541 | # Set up logging
import sys
import logging
logging.basicConfig(
format="%(asctime)s - %(levelname)s - %(name)s - %(message)s",
datefmt="%m/%d/%Y %H:%M:%S",
handlers=[logging.StreamHandler(sys.stdout)],
level=logging.WARNING,
)
logger = logging.getLogger(__name__)
from typing import Optional
from dat... | ServiceNow/picard | seq2seq/prediction_output.py | prediction_output.py | py | 7,647 | python | en | code | 299 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNIN... |
10139749320 | from django.shortcuts import render, redirect, reverse, get_object_or_404
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views.generic import View
from .forms import (CreateCourseForm,
CreateCourseRegistrationForm,
CreateDepartmentForm,
... | shreygoel7/Pinocchio | Pinocchio/academicInfo/views.py | views.py | py | 12,563 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.views.generic.View",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "forms.CreateCourseForm",
"line_number": 22,
"usage_type": "name"
... |
24132755409 | #!/usr/bin/env python
import argparse
def filter_sam( out_fn, in_fn, chromosome):
with open(out_fn, 'w') as donor_out:
for line in open(in_fn, 'r'):
if line.startswith("@SQ"):
if "SN:{}\t".format(chromosome) in line:
donor_out.write(line)
elif line.startswith("@"):
donor_ou... | supernifty/reference-bias | bin/filter_sam.py | filter_sam.py | py | 832 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
}
] |
1419172936 | """scene.py module"""
# Michael Gresham
# CPSC 386-01
# 2021-11-29
# greshammichael@csu.fullerton.edu
# @Michael-Gresham
#
# Lab 03-00
#
# My scene class
# Holds all the scenes that are present in snek game.
import pygame
from pygame.constants import SCRAP_SELECTION
from random import randint
import os
import pickle
fr... | Michael-Gresham/Portfolio | cpsc-386-04-snake-Michael-Gresham-main/scene.py | scene.py | py | 19,048 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.Surface",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.display.update",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "pygame.QUIT"... |
2088985509 | #!/usr/bin/env python
"""@namespace IMP.pmi.tools
Miscellaneous utilities.
"""
from __future__ import print_function, division
import IMP
import IMP.algebra
import IMP.isd
import IMP.pmi
import IMP.pmi.topology
try:
from collections.abc import MutableSet # needs Python 3.3 or later
except ImportError:
fro... | salilab/pmi | pyext/src/tools.py | tools.py | py | 60,875 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "IMP.atom.Hierarchy.get_is_setup",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "IMP.atom",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "IMP.atom.Hierarchy",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "IMP.... |
60843869 | # -*- coding:utf-8 -*-
import time
import pickle
from .utils import Logger
class Scheduler(object):
spider = None
def __init__(self, crawler):
self.settings = crawler.settings
self.logger = Logger.from_crawler(crawler)
if self.settings.getbool("CUSTOM_REDIS"):
from custom... | ShichaoMa/structure_spider | structor/scheduler.py | scheduler.py | py | 2,682 | python | en | code | 29 | github-code | 6 | [
{
"api_name": "utils.Logger.from_crawler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.Logger",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "redis.Redis",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pickle.dumps",
... |
36229690900 | from typing import Optional
'''
1373. 二叉搜索子树的最大键值和
dfs
边统计和边判断是否为搜索树即可。
一旦子树不为搜索树，直接520520。
'''
null = None
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def maxSumBST(self, root: Optional[TreeNode]) ... | z-w-wang/Leetcode-Problemlist | DailyProblem/Tree/1373.2023-05-20.py | 1373.2023-05-20.py | py | 1,207 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
}
] |
1336912689 | #!/usr/bin/env python3
from http.server import ThreadingHTTPServer
from os.path import dirname, realpath
from .httpHandler import HTTPApiHandler
from .fileCacher import cacheFile
from ..query import QueryHandler
def startServer(port):
HTTPApiHandler.queryHandler = QueryHandler()
filesPath = dirname(realpath(__... | wheelerd/uni-chatbot | stockbot/web_frontend/__main__.py | __main__.py | py | 1,427 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "httpHandler.HTTPApiHandler.queryHandler",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "httpHandler.HTTPApiHandler",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "query.QueryHandler",
"line_number": 9,
"usage_type": "call"
},
... |
1425636890 | # -*- coding: utf-8 -*-
# import needed modules
from requests import get
from csv import writer, reader
from datetime import date
import sys
# %% define function for export/save data to *.csv file
def write_csv(data, filepath):
with open(filepath, 'w', newline='') as csv_file:
write = writer(csv_file)
... | filrat2/rain_forecast | rain_forecast.py | rain_forecast.py | py | 4,691 | python | pl | code | 0 | github-code | 6 | [
{
"api_name": "csv.writer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": ... |
71429998588 | from django.db.models import Q
from django.shortcuts import get_object_or_404
from drf_yasg.utils import swagger_auto_schema
from drf_yasg import openapi
from rest_framework.views import APIView
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.excep... | izunaaaaa/CurB_Backend | letterlist/views.py | views.py | py | 5,352 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticated",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "models.Letterlist.objects.filter",
"line_number": 29,
"usage_type... |
21618000912 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
class check_box_single():
def __init__(self):
self.driver = webdriver.Chrome('./chromedriver')
self.driver.implicitly_wait(10)
self.driver.get("ht... | CorozelEmanuel/Luxoft2021-proiect1 | Ceausu Ionut Marian/Selenium1/exemple/checkboxsingle.py | checkboxsingle.py | py | 1,572 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.ID",
"line_number": 20,
"usage_type": "attribute"
},
{
... |
30590549707 | import numpy as np
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont
from tqdm import tqdm
SQSIZE = 60
SPACING = 15
def make_col(start, end, n=5):
"""Create a column of numbers."""
nums = np.random.choice(np.arange(start, end+1), size=n, replace=False)
return nums
def generate_card():
... | Lewistrick/bingogenerator | bingo.py | bingo.py | py | 3,060 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.choice",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
6484276041 | import os
import shutil
import time
import configparser
from PIL import Image
STEP = 10
# from lib.utils import Id2name
# INPUT_DIR = r"data/MH_01_easy/mav0/cam0/data"
# OUTPUT_DIR = r"./imgs"
config = configparser.ConfigParser()
config.read("config.ini", encoding="utf-8")
INPUT_DIR = config["DEFAULT"]["SIMULATOR_... | franioli/COLMAP_SLAM | simulator.py | simulator.py | py | 1,283 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"... |
73029609789 | from django.db import models
class ShowManager(models.Manager):
def basic_validator(self, postData):
errors = {}
if len(postData['show_title']) < 2:
errors["show_title"] = "Show title should be at least 2 characters!"
if len(postData['show_network']) < 3:
errors["sh... | Jgomez1996/deployment_test | shows_app/models.py | models.py | py | 904 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Manager",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.Model",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name... |
2516918892 | import netCDF4 as netCDF
from extraction_utils import basic, getCoordinateVariable
import json
import matplotlib.pyplot as plt
import decimal
import numpy as np
import traceback
class ImageStats(object):
"""docstring for ImageStats"""
def __init__(self, filename, variable):
super(ImageStats, self).__init__()
sel... | pmlrsg/GISportal | plotting/data_extractor/analysis_types/image_stats.py | image_stats.py | py | 2,466 | python | en | code | 71 | github-code | 6 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.ma.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.ma",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "extraction_utils.getCoor... |
75276539706 | import numpy as np
import pandas as pd
import torch
from torch.autograd import Variable
def testing(group_test, y_test, model):
rmse = 0
j = 1
result = []
while j <= 100:
x_test = group_test.get_group(j).to_numpy()
data_predict = 0
for t in range(x_test.shape[0]): # iterate t... | jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction | testing.py | testing.py | py | 1,420 | python | en | code | 140 | github-code | 6 | [
{
"api_name": "numpy.append",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.autograd.Variable",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"... |
26776312630 | """Apply Perl::Critic tool and gather results."""
import argparse
import logging
import subprocess
from typing import List, Optional
from statick_tool.issue import Issue
from statick_tool.package import Package
from statick_tool.tool_plugin import ToolPlugin
class PerlCriticToolPlugin(ToolPlugin):
"""Apply Perl:... | sscpac/statick | statick_tool/plugins/tool/perlcritic_tool_plugin.py | perlcritic_tool_plugin.py | py | 3,117 | python | en | code | 66 | github-code | 6 | [
{
"api_name": "statick_tool.tool_plugin.ToolPlugin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "argparse.Namespace",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 28,
"usage_type": "name"
},
{
"api_name"... |
29279214986 | from setuptools import setup, find_packages
VERSION = '0.0.19'
DESCRIPTION = 'ParkingLot is a Python service imitating a parking lot like system.'
LONG_DESCRIPTION = 'The service indicates rather a vehicle allowed or not allowed to enter the parking lot.'
# Setting up
setup(
name="parkinglot",
vers... | PsychoRover/parking-lot | setup.py | setup.py | py | 935 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 16,
"usage_type": "call"
}
] |
8246901300 | """
Module containing the rheologies, fault setup, and ODE cycles code
for the 2D subduction case.
"""
# general imports
import json
import configparser
import numpy as np
import pandas as pd
from scipy.integrate import solve_ivp
from numba import njit, objmode, float64, int64, boolean
from scipy.interpolate import in... | tobiscode/seqeas-public | seqeas/subduction2d.py | subduction2d.py | py | 145,621 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "abc.ABC",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.logical_xor",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.all",
"line_number": 160,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number": ... |
72908983868 | import os
import testinfra.utils.ansible_runner
import pytest
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']
).get_hosts('all')
@pytest.mark.parametrize("name", [
("apt-transport-https"),
("software-properties-common"),
("unattended-upgrades"),
... | ddrugeon/ansible-pi-bootstrap | roles/unattended-upgrades/molecule/default/tests/test_install_mandatory_tools.py | test_install_mandatory_tools.py | py | 607 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "testinfra.utils.ansible_runner.utils.ansible_runner.AnsibleRunner",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "testinfra.utils.ansible_runner.utils",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "testinfra.utils.ansible_runner",
"l... |
41373296282 | #!/usr/bin/env python
from graph import DiGraph, before_after_calculations
import os
import json
import threading
import random
from datetime import date
def read_graphml_files():
with open('tmp/interesting_graphs.txt') as fh:
lines = [line.rstrip() for line in fh]
return [(line, DiGraph.from_graphm... | mkapra/graph_measurements_segmentation | simulate_networks.py | simulate_networks.py | py | 1,686 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "graph.DiGraph.from_graphml",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "graph.DiGraph",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "random.randrange",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "graph.befor... |
27813014463 | import numpy as np
import gym
import cv2
class StackedEnv(gym.Wrapper):
def __init__(self, env, width, height, n_img_stack, n_action_repeats):
super(StackedEnv, self).__init__(env)
self.width = width
self.height = height
self.n_img_stack = n_img_stack
self.n_action_repeats ... | yiliu77/deep_rl_proj | environments/stacked.py | stacked.py | py | 1,405 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "gym.Wrapper",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.rollaxis",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.rollaxis",
"line... |
28985728032 |
import sys,re, os, io, codecs
from _collections import defaultdict
def loadModelfile():
modelfile = sys.argv[1]
features = defaultdict()
#load model file into features
with open(modelfile,"r", encoding = "ISO-8859-1") as modelhandler:
model = modelhandler.readlines()
for cldata in mo... | chandrashekar-cv/POS-Tagging | ner/netag.py | netag.py | py | 3,029 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "_collections.defaultdict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "_collections.defaultdict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "io.Text... |
19124516217 | from components import decorators
from components import endpoints_webapp2
import webapp2
import api
import config
import notifications
import service
import swarming
README_MD = (
'https://chromium.googlesource.com/infra/infra/+/master/'
'appengine/cr-buildbucket/README.md')
class MainHandler(webapp2.Request... | mithro/chromium-infra | appengine/cr-buildbucket/handlers.py | handlers.py | py | 1,762 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "webapp2.RequestHandler",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "webapp2.RequestHandler",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "service.reset_expired_builds",
"line_number": 30,
"usage_type": "call"
},
{
... |
37877845832 | import datetime
from PySide2.QtWidgets import QDialog
from ui_add_update import Ui_Dialog
class addDialog(QDialog):
def __init__(self, *args, **kvargs):
super().__init__(*args, **kvargs)
self.ui = Ui_Dialog()
self.ui.setupUi(self)
self.ui.OkButton.clicked.connec... | randrust/cashflow_pyside2 | dialogs/add_dialog.py | add_dialog.py | py | 1,602 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PySide2.QtWidgets.QDialog",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ui_add_update.Ui_Dialog",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "... |
5114407056 | import numpy as np
import pandas as pd
from scipy import ndimage
from scipy.interpolate import interp1d
import astropy.units as u
import astropy.coordinates as coord
from astropy.cosmology import FlatLambdaCDM
from astropy.constants import M_sun
import tensorflow as tf
from flowpm import utils as ut
import copy
impo... | pointeee/preheat2022_public | FGPA.py | FGPA.py | py | 18,340 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "astropy.units.Mpc",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "astropy.cosmology.FlatLambdaCDM",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "... |
28156199284 | from functools import partial
from pathlib import Path
from typing import Dict, Any, Callable, Tuple, Optional, Sequence
import PIL
import imageio
import numpy as np
import torch
from PIL import Image
from torch import Tensor
from torch.nn import Module, Tanh, Parameter
from torch.nn.functional import grid_sample, l1_... | akanimax/3inGAN | projects/thre3ingan/singans/image_model.py | image_model.py | py | 20,218 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "torch.cuda"... |
32599097431 | from flask import Flask
from flask_restful import Api, Resource
app = Flask(__name__)
api = Api(app)
class Hellocall(Resource):
def get(self,name,number):
return({'Name':name,'Age':number})
api.add_resource(Hellocall,"/Helloworld/<string:name>/<int:number>")
if __name__ == "__main__":
app.run(debug=... | somasundaram1702/Flask-basics | main.py | main.py | py | 330 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 7,
"usage_type": "name"
}
] |
3167046119 | #!/usr/bin/env python3
import base64
from functions.aes import (
gen_random_bytes,
get_blocks,
pkcs7_unpad,
pkcs7_pad,
PKCS7Error,
AESCipher,
)
_STRINGS = [
base64.b64decode(s)
for s in [
"MDAwMDAwTm93IHRoYXQgdGhlIHBhcnR5IGlzIGp1bXBpbmc=",
"MDAwMDAxV2l0aCB0aGUgYmFzcyB... | svkirillov/cryptopals-python3 | cryptopals/set3/challenge17.py | challenge17.py | py | 2,562 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base64.b64decode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "functions.aes.gen_random_bytes",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "functions.aes.gen_random_bytes",
"line_number": 35,
"usage_type": "call"
},
{
"ap... |
29792276111 | #!/usr/bin/env python3
import pandas as pd
import os
import rospy
import rospkg
from std_msgs.msg import Bool
from robo_demo_msgs.srv import RunPlanningTest
rospack = rospkg.RosPack()
EE_CONTROL_PATH = rospack.get_path('end_effector_control')
PLANNING_DATA_PATH = os.path.join(EE_CONTROL_PATH, 'data', 'planning')
CO... | dwya222/end_effector_control | scripts/automate_testing_v2.py | automate_testing_v2.py | py | 1,922 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rospkg.RosPack",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
8568584883 | # Create class
from Tools.Scripts.treesync import raw_input
import datetime
from datetime import date
class Person:
def __init__(self, name,year,month,day):
self.__name=name
self.__year=year
self.__month=month
self.__day=day
def getage(self):
now = date... | iWanjugu/Personal-Development-II | Python/getAge.py | getAge.py | py | 673 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
6288317611 | #! /usr/bin/env python
import math
import rospy
from sensor_msgs.msg import Imu
from tf.transformations import euler_from_quaternion
def imuCallback(imu):
quat = [imu.orientation.w, imu.orientation.x, imu.orientation.y, imu.orientation.z]
roll, pitch, yaw = euler_from_quaternion(quat)
rospy.loginfo('{} {} {}'.f... | vigneshrajap/UNSW-work | imu_to_yaw/src/imu_to_yaw_node.py | imu_to_yaw_node.py | py | 558 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tf.transformations.euler_from_quaternion",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rospy.loginfo",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "r... |
26113020545 | __authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "03/04/2017"
# TODO
# keep aspect ratio managed here?
# smarter dirty flag handling?
import datetime as dt
import math
import weakref
import logging
import numbers
from typing import Optional, Union
from collections import namedtuple
import numpy
from ...... | silx-kit/silx | src/silx/gui/plot/backends/glutils/GLPlotFrame.py | GLPlotFrame.py | py | 42,835 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "GLText.CENTER",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "GLText.CENTER",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "weakref.ref",
"line... |
28747708713 | from django.shortcuts import render
# Create your views here.
from django.http import HttpResponse
from django.template import Context, loader
def index(request):
omi = "omprakash"
import urllib
import json
resp = urllib.urlopen('https://api.coursera.org/api/courses.v1?q=search&query=malware+undergroun... | aumiom/Educational-Website-Template-with-Coursera-Search-API-Integration | myproject/myapp/views.py | views.py | py | 1,090 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "urllib.urlopen",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.template.loader.get_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.... |
40413480181 | import re
import requests
from bs4 import BeautifulSoup
from time import time as timer
__author__ = "Allen Roberts"
__credits__ = ["Allen Roberts"]
__version__ = "1.0.0"
__maintainer__ = "Allen Roberts"
def readfile():
with open('KY.txt') as file:
lines = file.readlines()
print(lines)
return line... | AllenRoberts/EmailScraper | main.py | main.py | py | 3,463 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number... |
15060558322 | import csv
import json
species_file = open('./data/union_list.json','r')
species_list = json.loads(species_file.read())
country_codes = [
"BG",
"HR",
"CZ",
"DK",
"NL",
"UK",
"EE",
"FI",
"FR",
"DE",
"GR",
"HU",
"IE",
"IT",
"LV",
"LT",
"MT",
"PL",... | eea/ias-dataflow | scripts/parse_common_names.py | parse_common_names.py | py | 1,330 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 56,
"usage_type": "call"
}
] |
9004329912 | # -*- coding: utf-8 -*-
from django.conf.urls import patterns, include, url
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.conf import settings
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'siscoer.views.home', name=... | clebersa/2014-1-gps-siscoer | src/siscoer/siscoer/urls.py | urls.py | py | 1,206 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 9,
"usage_type": "call"
},
{
"api... |
29478342356 | import sys
import networkx as nx
from assignNetwork import assignNetwork
conflicts = []
messageTypes = []
incomingMessages = []
outgoingMessages = []
stableStates = []
graph = {}
G = nx.MultiDiGraph()
assert len(sys.argv[1:]) <= 2, "Too many arguments"
file = sys.argv[1]
if(len(sys.argv[1:]) == 2):
constraiantFil... | ChingLingYeung/honoursProject | simple_conflict.py | simple_conflict.py | py | 10,499 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "networkx.MultiDiGraph",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"lin... |
17347679642 |
from django.urls import path, include
from .views import LoginView, RegisterView, \
LogoutView, DepartView, JobView, SetPwd, DepartEditView, JobEditView, \
JobRelateUserView, DepartRelateUserView, AppointWorkflowAdmin, IndexView, AppointCommon, AddDepartView, \
DepartRelateUserEditView, AddJobView, JobRela... | cuifeihe/django_WorkFlowProject | app_account/urls.py | urls.py | py | 2,353 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.IndexView.as_view",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.IndexView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.urls.... |
21480310570 | import bpy
import re
def get_group_name_from_data_path(data_path):
m = re.match(r'^pose\.bones\[\"([^\"]+)"\]', data_path)
if m:
return m[1]
# For pose blender. Should probably not be hardcoded
m = re.match(r'^\[\"([^\"]+)"\]$', data_path)
if m and m[1].endswith("_pose"):
... | greisane/gret | anim/channels_auto_group.py | channels_auto_group.py | py | 2,546 | python | en | code | 298 | github-code | 6 | [
{
"api_name": "re.match",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bpy.types",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "bpy.utils.register_class",
"line_... |
27251363866 | """
文件名: Code/Chapter07/C02_RNNImgCla/FashionMNISTRNN.py
创建时间: 2023/4/27 8:08 下午
作 者: @空字符
公众号: @月来客栈
知 乎: @月来客栈 https://www.zhihu.com/people/the_lastest
"""
import torch
import torch.nn as nn
import sys
sys.path.append('../../')
from Chapter06.C04_LN.layer_normalization import LayerNormalization
class FashionMNIST... | moon-hotel/DeepLearningWithMe | Code/Chapter07/C02_RNNImgCla/FashionMNISTRNN.py | FashionMNISTRNN.py | py | 1,754 | python | en | code | 116 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
9830880946 | # -*- coding: utf-8 -*-
##
# @file __init__.py
# @brief Contain paths to information files
# @author Gabriel H Riqueti
# @email gabrielhriqueti@gmail.com
# @date 06/05/2021
#
import os
from pathlib import Path
PATH_NERNST_EQUATION_INFO = Path(os.path.abspath(__file__)).parent / 'nernst_equation.txt'
PA... | gabrielriqu3ti/biomedical_signal_processing | biomedical_signal_processing/info/__init__.py | __init__.py | py | 670 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_nu... |
29325722402 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
To read sequentially the data from the hard disk, the data format is convert to TFRecord.
"""
import re
from pathlib import Path
import pandas as pd
import numpy as np
import tensorflow as tf
from tqdm import tqdm
from sklearn.utils import shuffle
__d... | ichiro-takahashi/tomoe-realbogus | src/data/make_record.py | make_record.py | py | 3,756 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.constant",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tensorflow.train.Featu... |
34199270716 | import time
import json
import requests
import datetime
import math
import sys
from pprint import pprint
s_time = time.time()
path = sys.argv[0].replace('c_timer.py', '')
# скважина качает 4м3/ч или 4000л/ч охватывая 10соток или 1000м2, т.е. за час получается 4л/м2 или 4мм
with open(path+'json/const_zones.json') as... | sdfim/watering | c_timer.py | c_timer.py | py | 2,563 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": ... |
27321029603 | """
Kela Kanta data preprocessing
Reads Kela Kanta data, applies the preprocessing steps below and writes the result to files.
- remove extra linebreaks
- remove empty lines
- transform base16 ints to base10 ints
- parse dates
- replace "," with "." as a decimal point
Note: running this script on ePouta takes several... | dsgelab/finregistry-data | finregistry_data/registries/kela_kanta.py | kela_kanta.py | py | 5,134 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "functools.partial",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",... |
7298829560 | import matplotlib.pyplot as plt
from astropy.io import fits
from astropy.visualization import make_lupton_rgb
from matplotlib.colors import LogNorm
from astropy.wcs import WCS
import numpy as np
db_open = [fits.open('frame-g-006793-1-0130.fits'),
fits.open('frame-i-006793-1-0130.fits'),
fits.ope... | ViniBilck/Astro-Vinicius | Cubos/Codes/Galaxy - 1/Galaxy1.py | Galaxy1.py | py | 2,530 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "astropy.io.fits.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "astropy.io.fits.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "astropy.io.fi... |
14205447601 | #!/usr/bin/env python
# coding: utf-8
# ## Single Dimension Array
# In[1]:
import pandas as pd
import matplotlib.pyplot as plt
# In[2]:
data = [10, 23, 34, 35, 45, 59]
df = pd.DataFrame(data, columns=['Score'])
df
# In[3]:
#plt.pie(df)
plt.pie(df, labels=df['Score'])
plt.title("Students Score")
plt.show()
... | AileshC/PythonLearning | python_notebooks/MatPlotLib_Pie_Demo.py | MatPlotLib_Pie_Demo.py | py | 1,233 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.pie",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
70264789629 | import django, os
from django.core.management import call_command
from dotenv import load_dotenv
def init_db():
"""Method to initialize the database with sample data"""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'FriendsLessonsSystem.settings')
load_dotenv()
django.setup()
from FriendsLesson... | ValentinGiorgetti/Desafio-Backend | FriendsLessonsSystem/init_db.py | init_db.py | py | 1,830 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.setdefault",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.setup",
... |
22610043366 | from django import forms
from django.forms.models import inlineformset_factory
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Field, Fieldset, Div, HTML, Submit, Button
from hybridjango.custom_layout_object import *
from hybridjango.mixins import BootstrapFormMixin
from .models impor... | hybrida/hybridjango | apps/events/forms.py | forms.py | py | 3,382 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "... |
73811427708 | from torch.utils.data import DataLoader
from sklearn.model_selection import KFold
from .datasets import get_cifar10_datasets, get_cifar100_datasets, get_mnist_datasets, get_image_net_dataset, TruncatedDataset, MergedDataset
from .partition import partition_by_class, partition_with_dirichlet_distribution
data_path = '... | somcogo/embedding | utils/data_loader.py | data_loader.py | py | 3,860 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datasets.get_cifar10_datasets",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datasets.get_cifar100_datasets",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datasets.get_mnist_datasets",
"line_number": 15,
"usage_type": "call"
},
... |
4992423632 | from __future__ import annotations
import typing
from homeassistant.components.switch import (
DOMAIN as PLATFORM_SWITCH,
SwitchEntity,
)
try:
from homeassistant.components.switch import SwitchDeviceClass
DEVICE_CLASS_OUTLET = SwitchDeviceClass.OUTLET
DEVICE_CLASS_SWITCH = SwitchDeviceClass.SWITC... | ZioTitanok/HomeAssistant-Configuration | custom_components/meross_lan/switch.py | switch.py | py | 4,016 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "homeassistant.components.switch.SwitchDeviceClass.OUTLET",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "homeassistant.components.switch.SwitchDeviceClass",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "homeassistant.components.switch.S... |
6043134873 | import logging
import certifi
import random, string
from elasticsearch import Elasticsearch
from flask import Flask, render_template, request, redirect, url_for, flash
from datetime import datetime
from quiz import quiz
app = Flask(__name__)
app.secret_key = 'dfuy48yerhfjdbsklueio'
es = Elasticsearch(
['https://h... | mcascallares/esquiz | main.py | main.py | py | 2,109 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "certifi.where",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.render_tem... |
43095956138 | import plugins
import sys
import data
import model
plugins.load_all('config.json')
target = sys.argv[1]
start_node = model.Node('person', target)
d = data.Storage(target)
d.add_node(start_node)
def handle(tokens):
if tokens[0].lower() == 'list':
# show list of nodes
if len(tokens) > 1:
... | tracer-sec/osint | console.py | console.py | py | 2,022 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "plugins.load_all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "model.Node",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "data.Storage",
"line_numb... |
71780096828 | from colorfield.fields import ColorField
from django.core.validators import MinValueValidator, RegexValidator
from django.db import models
from users.models import User
class Ingredient(models.Model):
"""Класс интредиент"""
name = models.CharField(
verbose_name='Наименование ингредиента',
ma... | GirzhuNikolay/foodgram-project-react | backend/recipes/models.py | models.py | py | 7,583 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": ... |
31331693062 | #! /usr/bin/python3
import os
import sys
import glob
import time
import shutil
import logging
import argparse
import subprocess
import pandas as pd
from pathlib import Path
from itertools import repeat
from multiprocessing import Pool
from nest.bbduk import QualCheck
from nest.alignment import Bwa
from nest.alignment i... | ohjeyy93/NFNeST | nest.py | nest.py | py | 21,367 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"... |
6629686746 | import tensorflow as tf
from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession
#Configure GPU
config = ConfigProto()
config.gpu_options.allow_growth = True
session = InteractiveSession(config=config)
for gpu in tf.config.experimental.list_physical_devices('GPU'):
tf.confi... | jfgf11/ml_genn_examples_ssh | Sequential API/mobilenetv1.py | mobilenetv1.py | py | 7,524 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.compat.v1.ConfigProto",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1.InteractiveSession",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.config.experimental.list_physical_devices",
"line_number": ... |
70005437309 | from __future__ import with_statement
from fabric.api import *
import os, glob, socket
import fabric.contrib.project as project
PROD = 'spreadwebm.org'
PROD_PATH = 'domains/spreadwebm.com/web/public/'
ROOT_PATH = os.path.abspath(os.path.dirname(__file__))
DEPLOY_PATH = os.path.join(ROOT_PATH, 'deploy')
def clean():
... | louquillio/spreadwebm.com | fabfile.py | fabfile.py | py | 1,127 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
1293789301 | import numpy as np
import onnx
from tests.tools import expect
class Sqrt:
@staticmethod
def export(): # type: () -> None
node = onnx.helper.make_node(
'Sqrt',
inputs=['x'],
outputs=['y'],
)
x = np.array([1, 4, 9]).astype(np.float32)
y = np... | gglin001/onnx-jax | tests/node/test_sqrt.py | test_sqrt.py | py | 632 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "onnx.helper.make_node",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "onnx.helper",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
... |
28031383283 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import rospy
import cv2
import cv_bridge
import sensor_msgs.msg
import argparse
import numpy as np
class image_converter:
def __init__(self, input_topic, output_topic):
self.image_pub = rospy.Publisher(
output_topic, sensor_msgs.msg.Im... | kargenk/image_converter | image_converter.py | image_converter.py | py | 1,762 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rospy.Publisher",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sensor_msgs.msg.msg",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sensor_msgs.msg",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "cv_bridge.Cv... |
44713652316 | import sys
import xmltodict
color_names = {
'Foreground Color': 'ForegroundColour',
'Background Color': 'BackgroundColour',
'Cursor Text Color': 'CursorColour',
'Ansi 0 Color': 'Black',
'Ansi 1 Color': 'Red',
'Ansi 2 Color': 'Green',
'Ansi 3 Co... | arcadecoffee/iterm-to-mintty | iterm-to-mintty.py | iterm-to-mintty.py | py | 1,706 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "xmltodict.parse",
"line_number": 44,
"usage_type": "call"
}
] |
70501561789 | from django.conf.urls import patterns, include, url
urlpatterns = patterns('django_sprinkler',
url(r"^get_context/?", "views.get_context", name="get_context"),
url(r"^logs/?", "views.watering_logs", name="watering_logs"),
url(r"^toggle_valve/(\d+)?/?", "views.toggle_valve", name="toggle_valve"),
url(r"... | jpardobl/django_sprinkler | django_sprinkler/urls.py | urls.py | py | 517 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "djan... |
33967529914 | # -*- coding: utf-8 -*-
# ！/usr/bin/env python
# @Time :2020/7/7 15:39
# @Author :Sheng Chen
# @Email :sheng.chen@inossem.com
import sys
sys.path.append(r'/home/chensheng/likou')
from typing import List, Tuple
class Solution:
rows = [{} for i in range(9)]
columns = [{} for i in range(9)]
boxes = [{} fo... | fqlovetu/likou_python | 37解数独/solution1.py | solution1.py | py | 2,979 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_numbe... |
28765664515 | from async_scrape import Scrape
import requests
import json
from selenium.webdriver import Edge
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
url = "https://order.marstons.co.uk/"
base_dir = "C:/Us... | cia05rf/marstons | webscrape/scrape.py | scrape.py | py | 1,223 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Edge",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.wait.WebDriverWait",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.presence_of_all_elements_loc... |
27214868635 | from enum import IntEnum, auto
from typing import List, Mapping, Union, Tuple, Optional
from .aetg import AETGGenerator
from .matrix import MatrixGenerator
from ...model import int_enum_loads
from ...reflection import progressive_for
__all__ = ['tmatrix']
@int_enum_loads(enable_int=False, name_preprocess=str.upper)... | HansBug/hbutils | hbutils/testing/generator/func.py | func.py | py | 3,442 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "enum.IntEnum",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "enum.auto",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "model.int_enum_loads",
"line_num... |
28382656931 | import cgi
import sys
import io
import genshin.database.operation as gdo
form = cgi.FieldStorage()
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
template = """
<html>
<head>
<meta charset="utf-8">
<script type="text/javascript">
location.replace('/cgi-bin/characters.py?dname={name... | waigoma/genshin-charatraining-supporter | src/cgi-bin/character_delete.py | character_delete.py | py | 628 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cgi.FieldStorage",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "io.TextIOWrapper",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "genshin.database.opera... |
72777565307 | # Plotting solution of x''(t) + x(t) = 0 equation
import numpy as np
import matplotlib.pyplot as plt
import os
from io import StringIO
import pandas as pd
from find_solution import find_solution
from plot_utils import create_dir
def plot_solution(plot_dir, t_end, delta_t):
data = find_solution(t_end=t_end, delta_... | evgenyneu/ASP3162 | 03_second_order_ode/plotting/plot_solution.py | plot_solution.py | py | 1,130 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "find_solution.find_solution",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "plot_utils.create_dir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "io.... |
9842073923 | import redneuronal
import random
import time
import statistics
class RedNeuronalGA:
def __init__(self, size, config:list, inputsize, mut_rate = 0.01, lastbest_rate = 0.5, tour_size = 10):
'''
:param size:
:param n_genes:
:param config: lista que indica [numero de layers, [numero ... | plt1994/cc5114ne | genalg.py | genalg.py | py | 4,234 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.random",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "redneuronal.RedN",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "random.randint",
"li... |
39839377690 | #Library
import datetime
import time
from tkinter import *
import tkinter.ttk as ttk
from urllib.request import urlretrieve
import serial
import os
import RPi.GPIO as GPIO
#End Library
#Firmwares
ultra1 = serial.Serial("/dev/ttyUSB0",baudrate=9600, timeout=1)
gsm = serial.Serial("/dev/ttyAMA0",baudrate=9600, timeout=1... | sinameshkini/python_samples | sajab4.py | sajab4.py | py | 16,045 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO.setwarnings",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line... |
25004993355 | from typing import cast, Any
from aea.skills.behaviours import TickerBehaviour
from aea.helpers.search.models import Constraint, ConstraintType, Query
from packages.fetchai.protocols.oef_search.message import OefSearchMessage
from packages.fetchai.skills.tac_control.dialogues import (
OefSearchDialogues,
)
from... | DENE-dev/dene-dev | RQ1-data/exp2/1010-OCzarnecki@gdp8-e6988c211a76ac3a2736d49d00f0a6de8b44c3b0/agent_aea/skills/agent_action_each_turn/behaviours.py | behaviours.py | py | 3,601 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "aea.skills.behaviours.TickerBehaviour",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "aea.helpers.search.models.Constraint",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "aea.helpers.search.models.ConstraintType",
"line_number": 58,
... |
7930998505 | import numpy as np
import matplotlib.pyplot as plt
# seulement deux etats
def epidemie_1(temps = 50, population = 10**6):
propagation = np.array( [[0.9 , 0.1], [0.3, 0.7]]) # 0 -> infecte, 1 -> sain
popu = np.array([0, 1])
X_temps = np.linspace(0, temps, temps)
Y_infectes = []
for t in range(tem... | kmlst/TIPE-Coding-regions-in-DNA-with-Hidden-Markov-Model | tipe_code.py | tipe_code.py | py | 10,617 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": ... |
2282915747 | import torch
from torch import Tensor
from kornia.utils import one_hot
import torch.nn.functional as F
import numpy as np
from matplotlib import pyplot as plt
def reg_loss(prediction, ED, ES, device):
# print(prediction)
prediction_toSyn = prediction.squeeze().detach().cpu().numpy()
y_k = synthetic_label(p... | carlesgarciac/regression | regression-cmr/utils/reg_loss.py | reg_loss.py | py | 1,707 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.functional.mse_loss",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.from_numpy",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "num... |
41843852670 | # Code courtesy: https://towardsdatascience.com/support-vector-machine-python-example-d67d9b63f1c8
# Theory: https://www.youtube.com/watch?v=_PwhiWxHK8o
import numpy as np
import cvxopt
from sklearn.datasets.samples_generator import make_blobs
from sklearn.model_selection import train_test_split
from matplotlib import ... | gmortuza/machine-learning-scratch | machine_learning/instance_based/svm/svm.py | svm.py | py | 3,218 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cvxopt.matrix",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.outer",
"line_number": ... |
39540715020 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 15 2021
@author: sagrana
"""
from rest_framework import status
from rest_framework.generics import CreateAPIView, RetrieveAPIView
from rest_framework.response import Response
from rest_framework.permissions import AllowAny
from .models import User
fr... | theRuthless/stark_ly3000_web_app | backend/users/views.py | views.py | py | 1,740 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.generics.CreateAPIView",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "serializers.UserRegistrationSerializer",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.AllowAny",
"line_number": 20,
"us... |
27643482594 | from rest_framework.decorators import api_view
from rest_framework.response import Response
from base.serializers import ProductSerializer, UserSerializer, UserSerializerWithToken
from base.models import Product
@api_view(['GET'])
def getProducts(request):
query = request.query_params.get('keyword')
if query... | hitrocs-polito/smart-bozor | base/views/product_views.py | product_views.py | py | 917 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base.models.Product.objects.filter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "base.models.Product.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "base.models.Product",
"line_number": 14,
"usage_type": "name"
},
... |
38169404173 | from . import parse as parser
from modules import YaraRules, GeoIP, ProjectHoneyPot, LangDetect
class Scanner:
def __init__(self):
self.yara_manager = YaraRules.YaraManager()
def parse_email(self, email_content: str):
return parser.parse_email(email_content)
def scan(self, email: str):
# parse it
... | lukasolsen/EmailAnalyser | server/base/service/scan.py | scan.py | py | 2,296 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "modules.YaraRules.YaraManager",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "modules.YaraRules",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "modules.LangDetect.detect_language",
"line_number": 42,
"usage_type": "call"
},
{
"... |
34913449577 | import numpy as np
import scipy.integrate
import scipy.optimize
import bokeh.plotting
from bokeh.plotting import figure, output_file, show
import bokeh.io
from bokeh.models import Span
def dilute(molecule_diluted,molecules_0,DR=0.2): #input Object want to dilute and where the parameters is stored
molecules_0... | william831015/GRN-in-chemostat | scripts/functions.py | functions.py | py | 3,004 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.integrate.odeint",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "scipy.int... |
35574468725 | from collections import defaultdict
def createGraph():
g=defaultdict(list)
return g
def topoSort(g,indeg,q,cnt,n,res):
for i in range(n):
if indeg[i] is 0:
q.append(i)
while(q):
cur=q.pop(0)
for i in g[cur]:
indeg[i]-=1
if(indeg... | goyalgaurav64/Graph | topological-sort-kahns-algo-bfs.py | topological-sort-kahns-algo-bfs.py | py | 868 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 3,
"usage_type": "call"
}
] |
1149669859 | from lib.contents_reader import ContentsReader
import asyncio
CLEAR_SCREEN = "\u001b[2J"
NEW_LINE = "\r\n"
class ZineFunctions:
def __init__(self, reader, writer, index_file_path):
self.reader = reader
self.writer = writer
self.contents_reader = ContentsReader(index_file_path)
asy... | caraesten/dial_a_zine | dialazine/lib/zine_functions.py | zine_functions.py | py | 2,161 | python | en | code | 58 | github-code | 6 | [
{
"api_name": "lib.contents_reader.ContentsReader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_number": 36,
"usage_type": "call"
}
] |
19107028474 | """Extract data on near-Earth objects and close approaches from CSV and JSON files.
The `load_neos` function extracts NEO data from a CSV file, formatted as
described in the project instructions, into a collection of `NearEarthObject`s.
The `load_approaches` function extracts close approach data from a JSON file,
for... | rcmadden/Near-Earth-Objects | extract.py | extract.py | py | 2,061 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.DictReader",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "models.NearEarthObject",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "models.CloseApproach"... |
14988584675 | from setuptools import setup
package_name = 'leg_controller'
setup(
name=package_name,
version='0.0.0',
packages=[package_name],
data_files=[
('share/ament_index/resource_index/packages',
['resource/' + package_name]),
('share/' + package_name, ['package.xml']),
],
... | PetriJF/Hexapod | src/leg_controller/setup.py | setup.py | py | 813 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
}
] |
13303958661 | from fastapi import APIRouter, Depends
from app.dependencies import verify_api_key
from app.libraries.libpoller import Poller
from app.schemas.poller import PollerModel, PollerUpdateModel, PollerCreateModel
router = APIRouter(tags=["poller"])
oPoller = Poller()
# Poller Requests ( API_KEY required )
@router.get("/p... | treytose/Pyonet-API | pyonet-api/app/routers/poller.py | poller.py | py | 1,534 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "app.libraries.libpoller.Poller",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "fastapi.Depends",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.de... |
39253810380 | from mangaki.models import Artist, Manga, Genre
from django.db.utils import IntegrityError, DataError
import re
from collections import Counter
def run():
with open('../data/manga-news/manga.csv') as f:
next(f)
artists = {}
hipsters = Counter()
for i, line in enumerate(f):
... | mangaki/mangaki | mangaki/tools/add_manga.py | add_manga.py | py | 2,689 | python | en | code | 137 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mangaki.models.Artist.objects.filter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "man... |
16421467025 | # Test the models with LG_chem stock
# If the prediction is success, Expand the number of stock
import math
import os
import pdb
from datetime import datetime
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tqdm import tqdm
import torch
import torch.nn as nn
from torch.utils.data import D... | groundwater98/Miraeasset_Bigdata_Festival | ML/Prediction/predict.py | predict.py | py | 13,225 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
29157516812 | #!/usr/bin/env python3
import asyncio
from mavsdk import System
from mavsdk.gimbal import GimbalMode, ControlMode
async def run():
# Init the drone
drone = System()
await drone.connect(system_address="udp://:14540")
# Start printing gimbal position updates
print_gimbal_position_task = \
... | mavlink/MAVSDK-Python | examples/gimbal.py | gimbal.py | py | 2,709 | python | en | code | 246 | github-code | 6 | [
{
"api_name": "mavsdk.System",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "asyncio.ensure_future",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mavsdk.gimbal.ControlMode.PRIMARY",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_na... |
26023685530 | import numpy as np
import numpy as np
import matplotlib.pyplot as plt
from fealpy.mesh.uniform_mesh_2d import UniformMesh2d
from scipy.sparse.linalg import spsolve
#from ..decorator import cartesian
class MembraneOscillationPDEData: # 点击这里可以查看 FEALPy 中的代码
def __init__(self, D=[0, 1, 0, 1], T=[0, 5]):
"""... | suanhaitech/pythonstudy2023 | Mia_wave/wace_2.py | wace_2.py | py | 5,381 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.zeros_like",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "fealpy.mesh.unifor... |
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