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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
39279840802 | from astropy.io import fits
from astropy.convolution import convolve, Box1DKernel
import scipy as sp
import matplotlib
import matplotlib.pyplot as plt
import glob
'''
O 436
B 582
A 745
F 766
G 596
K 759
M 306
'''
'''
O 476, 8773, 9818
B 96, 378, 462, 489, 492
A 17, 114, 120, 136
F 52, 158
G 25, 27, 30, 85
K 61, 65
... | grd349/LearningLAMOST | Matt/RegressorRF/Figures/plot_class.py | plot_class.py | py | 1,790 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "glob.glob",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "scipy.sqrt",
... |
34638872728 | import requests
from bs4 import BeautifulSoup
""" https://www.youtube.com/watch?v=PzWIdcFY9YQ """
url = 'https://url.com/sitemap.xml'
sitemapsoup = BeautifulSoup(requests.get(url).content, 'lxml')
sitemapurls = sitemapsoup.find_all("loc")
xml_urls = [sitemapurl.text for sitemapurl in sitemapurls]
count = 0
cerr... | martamc-sp/PythonforSEO | lessons/4-urls-canonical.py | 4-urls-canonical.py | py | 824 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"li... |
15560736212 | #!/usr/bin/env python3
# This is a simple script that takes in an scurve file produced by
# csvcolumn_to_scurve and produces a png graph of the scurve.
import argparse
import csv
import matplotlib.pyplot as plt
import numpy as np
FIELDS = ['N/total', 'New/Old']
def get_data(input_file):
global FIELDS
for... | apple/swift | utils/dev-scripts/scurve_printer.py | scurve_printer.py | py | 2,875 | python | en | code | 64,554 | github-code | 36 | [
{
"api_name": "csv.DictReader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array"... |
16989917132 | from logging import Logger
from typing import List
from pypika import Table # type: ignore
from pypika import PostgreSQLQuery as Q
from app.models.mart import engine_mart
from app.models.askue import AccountPoint
from app.models.mart import RegPointModel, RsPointModel, BalanceModel, BalanceRegModel
from sqlalchemy.eng... | giveyourtears/electroComputationServer | app/jobs/balance/data_mart_layer.py | data_mart_layer.py | py | 10,828 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "logging.Logger",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pypika.Table",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pypika.PostgreSQLQuery.from_",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pypika.Postg... |
10331225638 | import json
import requests
class SSEStatsOnTime(object):
"""
http://www.sse.com.cn/services/hkexsc/home/
"""
def __init__(self):
self.url = 'http://yunhq.sse.com.cn:32041//v1/hkp/status/amount_status'
self.headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x6... | wilsonkrum/DataFactory | hkland_flow/stock_hu_ontime.py | stock_hu_ontime.py | py | 1,796 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 19,
"usage_type": "call"
}
] |
43156623065 | #!/usr/bin/env python
import unittest
import mock
from quadcopter_brain import QuadcopterBrain
class TestQuadcopterBrain(unittest.TestCase):
@mock.patch('landing_site.LandingSite')
@mock.patch('quadcopter.Quadcopter')
def setUp(self, quadcopter_mock, landing_site_mock):
self.quadcopter_brain = ... | vpreston/mission_runner | quadcopter_brain/src/quadcopter_brain/test_quadcopter_brain.py | test_quadcopter_brain.py | py | 6,854 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "quadcopter_brain.QuadcopterBrain",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mo... |
11525663576 | import sqlite3
con = sqlite3.connect('example.db')
cursor = con.cursor()
persons = [("kiran", 21, "kiran@gmail.com"),
("anu", 29, "anu@yahoo.com"),
("sathis", 65, "satish@rediff.com")]
cursor.executemany("INSERT INTO person values (?, ?, ?)", persons)
print(cursor.rowcount)
con.commit()
con.clo... | avinash431/IntroductionToPython | databases/database-3.py | database-3.py | py | 325 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 2,
"usage_type": "call"
}
] |
28987537714 | import threading as td
import RPi.GPIO as GPIO
import datetime as dt
import time
from helpers import TimeMeasure
import elemental_api_class as liveapi
class StreamAvailController:
def __init__(self, gpi_trigger, event_id, elemental_ip, lock_interval = 3, in_cue = False):
self.gpi_trigger = gpi_trigg... | Hristiyan-Andreev/gpi_0.7_hw_reworked | s_av_ctrl.py | s_av_ctrl.py | py | 4,401 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "elemental_api_class.Elemental_api",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "helpers.TimeMeasure",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "RPi.... |
73223886825 | #!/usr/bin/env python3
import argparse
import cv2
import pic
import sys
import time
from PIL import *
def clearscreen(n):
print('\033[1A\033[K'*n, end='')
def main(filename, resize, colors=None, webcam=False, invert=False,
scale=(1, 1), nosleep=False):
vc = cv2.VideoCapture(filename)
tpf = 1.0/... | bahorn/emojipic | emojipic/ani.py | ani.py | py | 1,143 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FPS",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pic.EmojiImage",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
37635424970 | # Given an array nums which consists of non-negative integers and an integer m, you can split the array into m non-empty continuous subarrays.
# Write an algorithm to minimize the largest sum among these m subarrays.
# Example 1:
# Input: nums = [7,2,5,10,8], m = 2
# Output: 18
# Explanation:
# There are four way... | sunnyyeti/Leetcode-solutions | 410 Split Array Largest Sum.py | 410 Split Array Largest Sum.py | py | 1,656 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "functools.cache",
"line_number": 44,
"usage_type": "name"
}
] |
40961271099 | import argparse
import os
import shutil
from subprocess import run
from probar_entrega1 import probar
import pandas as pd
BASE_PATH = os.path.realpath(os.path.join(os.path.dirname(__file__)))
def bajar_repositorio(info_grupo):
print("Cloning", info_grupo['grupo'])
grupo_path = os.path.join(BASE_PATH, info_... | ucse-ia/ucse_ia | 2018/corrector.py | corrector.py | py | 1,647 | python | es | code | 5 | github-code | 36 | [
{
"api_name": "os.path.realpath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"lin... |
26552867136 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/4/12 23:29
# @Author : DZQ
# @File : main.py
import sys
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QThread, pyqtSignal
from PyQt5.QtWidgets import *
import xlrd
from threading import Thread
import json
from BaiduIndexSpider import B... | dzqann/BaiduIndex | main.py | main.py | py | 9,586 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "... |
8525512026 | import tensorflow as tf
import os
import sys
import data_generation
import networks
import scipy.io as sio
import param
import util
import truncated_vgg
from keras.backend.tensorflow_backend import set_session
from keras.optimizers import Adam
import scipy.misc
def train(model_name, gpu_id):
with tf.Session() as ... | TZebin/Deep-Learning-Camp-JEJU2018 | Code/posewarp-cvpr2018/code/posewarp_train.py | posewarp_train.py | py | 4,468 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.Session",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "param.get_general_params",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
26987164949 | import datetime
from django import forms
from django.core.exceptions import ValidationError
from .models import TimeLog, Subject, Tag
class DateForm(forms.Form):
def __init__(self, *args, **kwargs):
self.min_date = kwargs.pop('min_date')
self.max_date = kwargs.pop('max_date')
# if user h... | mf210/WAYD | timing/forms.py | forms.py | py | 5,996 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "django.forms.Form",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.DateField",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.forms... |
18844787736 | import sys,time,unittest
from selenium.webdriver.common.by import By
from selenium import webdriver
sys.path.append(".//")
sys.path.append(sys.path[0].split("ATQ项目")[0] + 'ATQ项目\\02.方法模块')
import Function_temp as F
class ATQtest(unittest.TestCase):
#driver全局变量
option =webdriver.FirefoxOptions()
option.set... | cainiaosun/study | 测试/UI自动化/测试工具__Selenium/selenium/Selenium/ATQ项目/01.脚本文件/登录.py | 登录.py | py | 5,365 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
3745893127 | """empty message
Revision ID: 9c5fa6db20f1
Revises: ar399258p714
Create Date: 2023-03-06 13:56:47.958406
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '9c5fa6db20f1'
down_revision = 'ar399258p714'
branch_labels = None
depends_on = None
def upgrade():
op... | abnamro/repository-scanner | components/resc-backend/alembic/versions/9c5fa6db20f1_finding_column.py | 9c5fa6db20f1_finding_column.py | py | 1,202 | python | en | code | 137 | github-code | 36 | [
{
"api_name": "alembic.op.add_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
33911980837 | #!/usr/bin/env python3
import queries
import connection_handler
from IPython import embed
import mysql.connector
import grammar_format
from dotenv import load_dotenv
from managers.word_manager import Word_Manager
import re
load_dotenv()
class Phrase_Manager:
def __init__(self, phrase="None", person="None", pe... | aburk3/Brain | managers/phrase_manager.py | phrase_manager.py | py | 6,593 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "managers.word_manager.Word_Manager",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "grammar_format.assign_part_of_speech",
"line_number": 39,
"usage_type": "call"
},... |
4889121541 | from utils import parseDate, checkDateInTheFuture, checkDateFromNotTooBig, s3Query
from http_response import okResponse, badRequestResponse
from typing import Union
import os
import boto3
BucketName = os.environ.get('BUCKET_NAME')
FileName = os.environ.get('PROV_FILE_NAME')
s3 = boto3.client('s3')
maxMonths = 5
de... | menalb/covid-data-app | api/bucketquery/coviddata/app_prov.py | app_prov.py | py | 1,582 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_num... |
3674524668 | #Importing pyplot submodule
import matplotlib.pyplot as plt
import numpy as np
x = np.array(['Apples','Bananas','Lichi','Pineapple'])
y = np.array([100,45,60,90])
#using bar() to represent data in bar graph
plt.subplot(1,2,2)
plt.bar(x,y, width = 0.5)
plt.title('Vertical')
plt.show()
#for showing the... | manudeepsinha/daily_commit | 2020/12/Python/23_matplotlib_bar.py | 23_matplotlib_bar.py | py | 524 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
16157216808 | import pandas as pd
from django.contrib.auth.decorators import login_required
from django.contrib.sites.shortcuts import get_current_site
from django.http import HttpResponse
from django.urls import reverse
from researcher_UI.models import Administration
@login_required
def download_links(request, study_obj, administ... | langcog/web-cdi | webcdi/researcher_UI/utils/download/download_links.py | download_links.py | py | 1,991 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "researcher_UI.models.Administration.objects.filter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "researcher_UI.models.Administration.objects",
"line_number": 19,
... |
3238104451 | import numpy as np
import pandas as pd
#from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
import xlwt
import KMeans
import Visualization
plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号
points = []
center_points = []
K = 4
file="D:\\ex... | JiaoZixun/Recommend_By_Canopy-K-means | recommend——豆瓣/对比实验——K-means聚类.py | 对比实验——K-means聚类.py | py | 1,454 | python | en | code | 18 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
30662323647 | from datetime import datetime, timedelta
from pytz import timezone
from dateutil.relativedelta import relativedelta
data_1 = datetime(2023, 10, 30, 17, 10, 59)
print(data_1)
data_str = "2023-10-30 17:18:59"
data_str_formatter = "%Y-%m-%d %H:%M:%S"
data_2 = datetime.strptime(data_str, data_str_formatter)
print(data_... | juannaee/WorkSpace-Python-Intermediario | SEÇÃO 4/datetime/main1.py | main1.py | py | 994 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetim... |
42669964568 | import glob
import cv2
import numpy as np
from tqdm import tqdm
class Calibration(object):
def __init__(self, targetfilepath):
# termination criteria
self.criteria = (cv2.TERM_CRITERIA_EPS +
cv2.TERM_CRITERIA_MAX_ITER, 30, 1e-5)
# prepare object points, like (0,0... | Team-AllyHyeseongKim/vision-utils-calibrator-depth-map-deblur-odometry- | custom_lib/cail/calibrator.py | calibrator.py | py | 3,920 | python | ko | code | 0 | github-code | 36 | [
{
"api_name": "cv2.TERM_CRITERIA_EPS",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.TERM_CRITERIA_MAX_ITER",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name":... |
71578877863 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
import vtk
def main():
cps = vtk.vtkConvexPointSet()
points = vtk.vtkPoints()
points.InsertNextPoint(0, 0, 0)
points.InsertNextPoint(1, 0, 0)
points.InsertNextPoint(1, 1, 0)
points.InsertNextPoint(0, 1, 0)
points.InsertNextPoint(0, 0, 1)
... | lorensen/VTKExamples | src/Python/GeometricObjects/ConvexPointSet.py | ConvexPointSet.py | py | 2,484 | python | en | code | 319 | github-code | 36 | [
{
"api_name": "vtk.vtkConvexPointSet",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "vtk.vtkPoints",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "vtk.vtkUnstructuredGrid",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "vtk.vtkName... |
25305879977 | __author__ = 'diegopinheiro'
from common.attribute import Attribute
import math
import numpy
class AttributeConverter:
@staticmethod
def get_representation(attribute=Attribute(), category=None):
number_representation = AttributeConverter.get_number_representation(attribute=attribute)
categor... | diegompin/genetic_algorithm | common/attribute_converter.py | attribute_converter.py | py | 1,144 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "common.attribute.Attribute",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.binary_repr",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "common.attribut... |
36289714812 | from kafka.admin import KafkaAdminClient, ConfigResource, ConfigResourceType
TOPIC_NAME = "kafka.client.tutorial"
BOOTSTRAP_SERVER_HOST = "kafka_tutorial:9092" # 카프카 클러스터 서버의 host와 port를 지정
admin_client = KafkaAdminClient(
bootstrap_servers=BOOTSTRAP_SERVER_HOST
)
print("== Get broker information")
# return typ... | 2h-kim/kafka-personal-study | simple-kafka-admin-client/kafka-admin-client.py | kafka-admin-client.py | py | 1,069 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "kafka.admin.KafkaAdminClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "kafka.admin.ConfigResource",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "kafka.admin.ConfigResourceType.BROKER",
"line_number": 16,
"usage_type": "attribut... |
3835970469 | import json
import pandas as pd
import numpy as np
import filenames
myjson = {
"arm": {
"malware": [],
"benign": []
},
"mips": {
"malware": [],
"bening": []
}
}
df_arm_malware_forpoison = pd.read_csv(filenames.forpoison_arm_malware, header=None, index_col=False)
myjso... | ZsZs88/Poisoning | filepicker.py | filepicker.py | py | 1,111 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "filenames.forpoison_arm_malware",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "... |
34916305882 | import numpy as np
import matplotlib.pyplot as plt
with open("../buildxcode/cte.txt") as f:
data = f.read()
data = data.split('\n')
x = [float(i) for i in data]
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.set_title("CTE")
ax1.set_ylabel('CTE')
ax1.plot(x,... | suprnrdy/CarND-PID-Control-Project-master | src/plotCTE.py | plotCTE.py | py | 341 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mat... |
25056282946 | from django import forms
from django.core.exceptions import ValidationError
from manager.models import Accountancy
from manager.wallet_operations import wallet_choice, wallet_data_parse, change_wallet_balance
class AccountancyForm(forms.ModelForm):
class Meta:
model = Accountancy
fields = ()
... | AndriyKy/zlatnic | manager/forms.py | forms.py | py | 1,544 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "manager.models.Accountancy",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dja... |
13962486159 | from django.db import IntegrityError
from django.utils.timezone import make_aware
from datetime import datetime
import logging
from .utils import get_extras
class DatabaseHandler(logging.Handler):
"""
A log handler to store logs into the database.
Currently, only log entries that belong to an event ar... | helfertool/helfertool | src/toollog/handlers.py | handlers.py | py | 2,156 | python | en | code | 52 | github-code | 36 | [
{
"api_name": "logging.Handler",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.LogEntry",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.make_aware",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": ... |
5216435364 | from pydantic import BaseModel, EmailStr
from datetime import datetime
from typing import Optional
class User(BaseModel):
user_id : int
username : str
forenames: str
surname : str
email : EmailStr
bio : Optional[str]
display_name : Optional[str]
created_at: datetime
class UserRegistra... | willpennell/r-shows | user-management-service/app/schemas/user_schemas.py | user_schemas.py | py | 802 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pydantic.EmailStr",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",... |
15991913621 | #!/usr/bin/python
from Constants import Constants as cnt
from CoinDaemon import CoinDaemon
from bitcoinrpc.authproxy import AuthServiceProxy
class Wallet:
"""Provides a high-level abstraction of a coin wallet and simplifies
the process of making JSON API RPC calls to the coin wallet
daemon"""
walletPa... | chriscassidy561/coinScript | Wallet.py | Wallet.py | py | 2,828 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Constants.Constants.HOME_DIR",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "Constants.Constants",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "shutil.copy",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "Coi... |
30952198138 | import requests
class Polyline:
def __init__(self) -> None:
self.users = dict()
self.polylines = []
self.matches = []
def add(self, ID: int, name: str, ph_no: int, source: list, destination: list) -> None:
polyline = Polyline.__get_polyline(source, destination)
self.po... | Sivaram46/pool-ride | polyline.py | polyline.py | py | 4,465 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 123,
"usage_type": "call"
}
] |
34598487595 |
# IntesisHome Inegration with Domoticz
#
# Author: CV8R
#
"""
<plugin key="BasePlug" name="IntesisBox WMP-1 Protocol" author="CV8R" version="0.0.9" >
<description>
<h2>IntesisBox WMP-1</h2><br/>
<ul style="list-style-type:square">
<li>IntesisBox WMP-1 interface for air conditioners into IP based con... | luismalddonado/IntesishomewithDomoticz | plugin.py | plugin.py | py | 18,692 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "Domoticz.Log",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "Domoticz.He... |
7774676634 | from urllib.request import urlopen
from bs4 import BeautifulSoup
import ssl
# Ignore SSL certificate errors
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
url = input('Enter URL: ')
count2 = input('Enter count: ')
position = input('Enter position: ')
count2 = int(count2... | laurmvan/SI206-Fall2017 | HW6/HW6_PartB.py | HW6_PartB.py | py | 875 | python | en | code | null | github-code | 36 | [
{
"api_name": "ssl.create_default_context",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ssl.CERT_NONE",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs... |
6751769066 | # -*- coding: utf-8 -*-
from PyQt5.QtWidgets import QWidget
from PyQt5.QtGui import QDoubleValidator
from PyQt5.QtCore import pyqtSignal, pyqtSlot
from selfdefineformat.views.editcheckbox import Ui_Form
class EditCheckBoxModule(QWidget, Ui_Form):
edited = pyqtSignal()
def __init__(self, element, parent=None... | zxcvbnmz0x/gmpsystem | selfdefineformat/modules/editcheckboxmodule.py | editcheckboxmodule.py | py | 3,645 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "selfdefineformat.views.editcheckbox.Ui_Form",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 10,
"usage_type": "call"
},
... |
459210709 | import requests
import json
import ntpath
class Jira:
"""Common JIRA API methods.
JIRA's REST APIs provide access to resources (data entities) via URI paths. To use a REST API, your application will
make an HTTP request and parse the response. The JIRA REST API uses JSON as its communication format, and ... | mjlabe/python-atlassian-server-api | atlassian_server_api/jira.py | jira.py | py | 6,655 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.post",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "ntpath.basename",
"line_nu... |
70537611943 | import elasticsearch
import json
import luigi
from elasticsearch.helpers import bulk
from luigi.contrib import esindex
from nfl import scraper
class IngestData(luigi.Task):
category = luigi.Parameter()
year = luigi.Parameter()
def output(self):
target = luigi.LocalTarget("output/{0}/{1}.json".f... | jasonmotylinski/luigi-presentation | pipeline-py/luigi/luigipipeline/demo5.py | demo5.py | py | 1,753 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "luigi.Task",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "luigi.Parameter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "luigi.Parameter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "luigi.LocalTarget",
... |
74189117224 | #reverses the process of the spritesheetCreator script
from PIL import Image
import sys
#sets all the variables we need to accurately crop the images
imageAmount = 0
i = 1
width = 0
height = 0
maxWidth = 0
maxHeight = 0
counter = 0
row = 0
column = 0
#searches for the file saved by the spritesheet script... | IrrationalThinking/portfolio | Example/reversal.py | reversal.py | py | 2,172 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.exit",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 36,
"usage_type": "name"
}
] |
74088296424 | """
Normally step 1 to align trimmed reads
e.g.
"""
import os
import sys
from tqdm import trange
from joblib import Parallel, delayed
import re
input_root = sys.argv[1]
output_root = sys.argv[2]
genome_dir = sys.argv[3]
subdirs = []
for subdir, dirs, files in os.walk(input_root):
for file in files:
subdir... | ZhaoxiangSimonCai/BioInfoScripts | RNA_workflows/star_by_folders.py | star_by_folders.py | py | 931 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number"... |
16793418016 | import pygame
from battle import time, MOVE_DOWN_FREQ, BOARD_HEIGHT, BOARD_WIDTH, BLANK, POISON, SHAPES, BOX_SIZE, \
TEMPLATE_HEIGHT, TEMPLATE_WIDTH, MOVE_SIDE_WAYS_FREQ
from utils import get_new_piece, get_blank_board, calculate_level_and_fall_frequency, is_valid_position
from pygame.locals import *
BOARD_OFFSET ... | dadisi/battle-tetro | battle/player.py | player.py | py | 8,220 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "battle.BOX_SIZE",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "battle.BOARD_WIDTH",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "battle.time.time",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "battle.time",
"... |
73692413545 | import mock
import testtools
from stackalytics.dashboard import helpers
class TestHelpers(testtools.TestCase):
@mock.patch('time.time')
def test_get_current_company(self, mock_time_time):
current_timestamp = 1234567890
mock_time_time.return_value = current_timestamp
user = {
... | Mirantis/stackalytics | stackalytics/tests/unit/test_helpers.py | test_helpers.py | py | 2,389 | python | en | code | 12 | github-code | 36 | [
{
"api_name": "testtools.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "stackalytics.dashboard.helpers.get_current_company",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "stackalytics.dashboard.helpers",
"line_number": 26,
"usage_type... |
26744639927 | import argparse
import os
import time
import numpy as np
import torch
import torch.optim as optim
import torch.nn as nn
from torch.utils.data import DataLoader
from data_loader import CSV_PNG_Dataset, CSV_PNG_Dataset_2D, PNG_PNG_Dataset
from netArchitecture.VGG import VGGModel, VGGModel_2D
from netArchitecture.ResNe... | yuanlinping/deep_colormap_extraction | train.py | train.py | py | 10,586 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.... |
74113768742 | import click
# import pickle
# import cv2
from recognize import process, recognize, draw, show
@click.command()
@click.argument('image')
@click.option('--encodings', '-e', default='encodings.pickle', help='path to db of BTS facial encodings.')
@click.option('--detection', default='cnn', help='Which face detection mode... | cache-monet/bts_recognition | image.py | image.py | py | 741 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "recognize.process",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "recognize.recognize",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "recognize.draw",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "recognize.show",... |
2259081804 | import pyperclip as pc
names = ["Apple", "Banana", "Cherry", "Dog", "Elephant"]
present = []
absent = []
not_audio = []
asking = True
number = 0
while asking:
question = names[number]
answer = input(question + ": ")
if answer == "p":
present.append(question)
if answer == "a":
absent.ap... | PythonGeek07/Attendance-_Bot | main.py | main.py | py | 1,288 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyperclip.copy",
"line_number": 47,
"usage_type": "call"
}
] |
73915818985 | from .base import RegexVocabulary, left_pad, NoWildcardsVocabulary, NoRangeFillVocabulary, NoCheckVocabulary,\
ProcedureVocabulary, ModifierVocabulary
import re
from itertools import product
_hcpcs_split_regex = re.compile('^([A-Z]*)([0-9]+)([A-Z]*)$')
def hcpcs_split(code):
match = _hcpcs_split_regex.match(co... | modusdatascience/clinvoc | clinvoc/hcpcs.py | hcpcs.py | py | 2,356 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "base.RegexVocabulary",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "base.NoCheckVocabulary",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "base.ProcedureV... |
10183845847 | from utils import evaluation_utils, embedding_utils
from semanticgraph import io
from parsing import legacy_sp_models as sp_models
from models import baselines
import numpy as np
from sacred import Experiment
import json
import torch
from torch import nn
from torch.autograd import Variable
from tqdm import *
import ast... | jack139/gp-gnn_test | train.py | train.py | py | 9,172 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
6884335052 | import time
import torch
torch.set_printoptions(precision=7)
from addict import Dict as adict
from torch.nn import functional as F
from zerovl.core import DistHook, HookMode, WandbHook
from zerovl.core.hooks.log import LogHook
from zerovl.core.runners.builder import RUNNER
from zerovl.core.runners.epoch_runner impor... | zerovl/ZeroVL | zerovl/tasks/clip/clip_bsgs_runner.py | clip_bsgs_runner.py | py | 18,843 | python | en | code | 39 | github-code | 36 | [
{
"api_name": "torch.set_printoptions",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manual_seed_all",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "to... |
26628181853 | import pickle
from flask import Flask,request,app,jsonify,url_for,render_template
import nltk, re, string
from nltk.corpus import stopwords, twitter_samples
from sklearn.linear_model import LogisticRegression
import pickle
from sklearn.feature_extraction.text import CountVectorizer
from Utilities import process_tweet
f... | Sourav9827/Sentiment-Analysis | app.py | app.py | py | 1,224 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.app",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.app.config",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.app",
"line_num... |
35383679834 | #!/usr/bin/env python3
from sys import exit
from collections import Counter
import random
from statistics import mean
from TALinputs import TALinput
from multilanguage import Env, Lang, TALcolors
import mastermind_utilities as Utilities
# METADATA OF THIS TAL_SERVICE:
args_list = [
('max_num_attempts',int),
... | romeorizzi/TALight | example_problems/tutorial/mastermind/services/eval_driver.py | eval_driver.py | py | 3,432 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "multilanguage.Env",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "multilanguage.TALcolors",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "multilanguage.Lang",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.r... |
18433559527 | import pygame
import random
import time
import turtle
# Class thể hiện đối tượng Câu hỏi
# Một đối tượng Question gồm có 2 fields:
# - question: đề bài
# - answer: đáp án
class Question:
def __init__(self, question, answer):
self.question = question
self.answer = answer
# Class thể hiện t... | aitomatic/contrib | src/aito/util/finalproject.py | finalproject.py | py | 7,485 | python | vi | code | 2 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number... |
11580214091 | import os
import time
import random
import sys
import time
import math
from datetime import datetime
from getpass import getpass
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from seleniu... | tomo-jp/pairsBot | pairs_automation.py | pairs_automation.py | py | 2,928 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.randint",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number... |
13988027867 | import numpy as np
from scipy.interpolate import interp1d
from skfmm import travel_time, distance
from scipy.signal import resample
def resample2d( x, shape=[] ):
if len(shape)==0:
raise ValueError('shape should not be empty.')
x1=resample(x,shape[0],axis=0)
x2=resample(x1,shape[1],axis=1)
... | wsavran/sokrg | krg_utils.py | krg_utils.py | py | 5,948 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "scipy.signal.resample",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.signal.resample",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate.interp1d",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": ... |
5547555689 | """
Tests for voting 13/01/2022.
"""
from sys import version
from collections import namedtuple
from brownie import interface, reverts
from scripts.vote_2022_01_13 import start_vote
from tx_tracing_helpers import *
from utils.config import (
lido_dao_lido_repo,
lido_dao_node_operators_registry_repo,
)
lido_o... | lidofinance/scripts | archive/tests/xtest_2022_01_13.py | xtest_2022_01_13.py | py | 5,965 | python | en | code | 14 | github-code | 36 | [
{
"api_name": "collections.namedtuple",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "brownie.interface.Repo",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "utils.config.lido_dao_lido_repo",
"line_number": 82,
"usage_type": "argument"
},
{
... |
19534802491 | from functools import wraps
from flask import request, abort, g
from app.models import User
def login_required(f):
""" This decorator ensures that the current user is logged in before calling the actual view.
"""
@wraps(f)
def decorated(*args, **kwargs):
if request.method != 'OPTIONS':
... | Zokormazo/ngLlery-backend | app/decorators.py | decorators.py | py | 1,456 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.request.method",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.request.headers.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "fla... |
5726494392 | from flask import Flask, jsonify, request
import json
import os
app = Flask(__name__)
# Load data from JSON file if it exists
def load_data():
if os.path.exists('investment_funds.json'):
with open('investment_funds.json') as file:
return json.load(file)
else:
with open('investment_... | raqif/fund_management_system | app_json.py | app_json.py | py | 3,352 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 1... |
32929404532 | #!/usr/bin/env python
# coding: utf-8
import csv
from config import ADDRESSES_FILE
from models import Birthday, get_this_week_list
def parse_data_file(in_file=ADDRESSES_FILE):
"""
:return: [] of {}
List of birthdays
"""
reader = csv.DictReader(open(in_file, "r"))
for row in reader:
... | raceup/happy-birthday-bot | hbb/bot.py | bot.py | py | 1,857 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "config.ADDRESSES_FILE",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "csv.DictReader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.get_this_week_list",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "models... |
12896234781 | """
Provides RESTful URLs for Route objects
"""
from flask import Blueprint, request
from back_end.api import jsonify_decorator, token_decorator
from back_end.db import routes
from back_end.exceptions import InvalidContent
ROUTES = Blueprint('route', __name__)
@ROUTES.route('/<routeid>', methods=['GET'])
@jsonify_d... | vedantchokshi/various-plans | back_end/api/routes.py | routes.py | py | 1,842 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "back_end.db.routes.get_from_id",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "back_end.db.routes",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "bac... |
3985469839 | import os
from skimage import io
import copy
import numpy as np
import random
from glob import glob
import json
from sklearn.preprocessing import MultiLabelBinarizer
import torch
import torch.utils.data as data
from torchvision import transforms, datasets
from src.datasets.root_paths import DATA_ROOTS
CLASSES = ['Sea... | jbayrooti/divmaker | src/datasets/bigearthnet.py | bigearthnet.py | py | 5,152 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "src.datasets.root_paths.DATA_ROOTS",
"line_number": 67,
"usage_type": "name"
},
{
... |
10045098498 | import requests
import json
import datetime,time
from kafka import KafkaProducer
# Liste des cryptos à récupérer
# Configuration du Kafka Producer
producer = KafkaProducer(bootstrap_servers=['broker:29092'], value_serializer=lambda x: json.dumps(x).encode('utf-8'))
crypto_list = ["bitcoin", "ethereum", "ripple"]
st... | stdynv/ARCHIDISTR | CryptoProducer.py | CryptoProducer.py | py | 983 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "kafka.KafkaProducer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number... |
6795419791 | from django.conf import settings
from rest_framework import viewsets, exceptions
from rest_framework.decorators import action
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework_jwt.authentication import JSONWebTokenAuthentication
from utils.certific... | tomasgarzon/exo-services | service-exo-events/event/api/views/event.py | event.py | py | 4,675 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "models.Event",
"line_number": 28,
"usage_type": "name"
},
{
"ap... |
37435918590 | #!/usr/bin/env python
# coding: utf-8
# In[5]:
import numpy as np
# In[1]:
import plotly
import matplotlib.pyplot as plt
# In[3]:
#Equations of motion:
#y = vt + .5a(t**2)
#x = vt
#y = x + 0.5a(x**2)/(v**2)
# In[6]:
#Let intial velocity v = 10 m/s, acceleration a = -9.8 m/s^2, and initial height h = 100 ... | abbychriss/toy-projects | Projectile motion.py | Projectile motion.py | py | 679 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.linspace",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
39238016680 | import cv2
import numpy as np
def get_seg_size(images, threshold=23, pmapxy=None):
seg_sizes = []
index = 0
for image in images:
"""
if index % 10 == 0:
cv2.imshow("thres", thresh_image)
cv2.waitKey(0)
"""
index += 1
if pmapxy is not None:
... | Alice-OSENSE/feature_err_analysis | feature_func.py | feature_func.py | py | 989 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.multiply",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.countNonZero",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.Canny",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.countNonZero",
"lin... |
34000667448 | import json, random, csv, sys
def check_input():
out_file = ''
if (len(sys.argv) == 3) & (sys.argv[1] == '-i'):
coded_file = sys.argv[2]
out_file = None
elif (len(sys.argv) == 5) & (sys.argv[1] == '-i') & (sys.argv[3] == '-o'):
coded_file = sys.argv[2]
out_fil... | namdar-nejad/COMP-598 | A7/Code/src/analyze.py | analyze.py | py | 1,690 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number":... |
69826161703 | """
General Numerical Solver for the 1D Time-Dependent Schrodinger Equation.
Authors:
- Jake Vanderplas <vanderplas@astro.washington.edu>
- Andre Xuereb (imaginary time propagation, normalized wavefunction
For a theoretical description of the algorithm, please see
http://jakevdp.github.com/blog/2012/09/05/quantum-pyt... | akapet00/schrodinger | src/scripts/quantum_tunneling.py | quantum_tunneling.py | py | 11,191 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "seaborn.set",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 67,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line... |
38265076029 | from collections import OrderedDict
import fnmatch
import re
IMAGENET_DEFAULT_MEAN = (0.485, 0.456, 0.406)
IMAGENET_DEFAULT_STD = (0.229, 0.224, 0.225)
DEFAULT_CONFIGS = OrderedDict({
'ckdn': {
'metric_opts': {
'type': 'CKDN',
},
'metric_mode': 'FR',
},
'lpips': {
... | Sskun04085/IQA_PyTorch | pyiqa/default_model_configs.py | default_model_configs.py | py | 6,004 | python | hi | code | 0 | github-code | 36 | [
{
"api_name": "collections.OrderedDict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 220,
"usage_type": "call"
},
{
"api_name": "fnmatch.filter",
"line_number": 236,
"usage_type": "call"
},
{
"api_name": "fnmatch.filter",
... |
16968956587 | # -*- coding: utf-8 -*-
from django.template.loader import render_to_string
from django.contrib.admin.utils import quote
def get_mptt_admin_node_template(instance):
'''
Get MPTT admin node template name by model instance
:param instance: instance of mptt model
:return: template name
'''
return... | infolabs/django-edw | backend/edw/admin/mptt/utils.py | utils.py | py | 1,309 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "django.contrib.admin.utils.quote",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.utils.quote",
"line_number": 38,
"usage_typ... |
10346160454 | import pandas as pd
from pulp import *
import itertools
df = pd.read_excel('beers.xlsx')
costs = df.\
assign(Warehouse_to_Bar = lambda x: x.Warehouse_to_Bar.astype(str)).\
set_index('Warehouse_to_Bar').\
to_dict()
warehouses = ['A','B']
bars = [str(x) for x in range(1,6)]
supply_ = [1000,400... | Takfes/notes-operations-research | src/A.misc/03.pulp-transportation/pulp-transportation.py | pulp-transportation.py | py | 1,493 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_excel",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 21,
"usage_type": "call"
}
] |
30731206475 | #######################################################################
# Necessaria a instalacao do biopython (pip install biopython)
from Bio import pairwise2
from Bio.pairwise2 import format_alignment
from Bio.Seq import Seq
def alinhamento(seqt, numseq):
nome1 = "guilherme"
nome2 = "costa"
nome3 = "ol... | GuilhermeC0sta/Alinhamento-Multiplo-de-DNA | CodWithGUI/alinhamento_func.py | alinhamento_func.py | py | 3,205 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Bio.pairwise2.align.globalms",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "Bio.pairwise2.align",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "Bio.pairwise2",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "B... |
2956310970 | import socket
import struct
import subprocess
import logging
from datetime import datetime
# Configuração do cliente
MULTICAST_IP = '224.0.0.1'
MULTICAST_PORT = 5004
CHUNK_SIZE = 1472 # Tamanho do pacote incluindo 4 bytes para o contador
CLIENT_INTERFACE_IP = '0.0.0.0' # Use o IP de interface apropriado se necessári... | gpdolzan/R2LAST | cliente.py | cliente.py | py | 4,325 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.D... |
29394077350 | import cv2
import numpy as np
import glob
from pyqtgraph.Qt import QtCore, QtGui
import pyqtgraph.opengl as gl
import numpy as np
from time import sleep
dis_test_label = np.load("D:/PythonFile/NestProject/Nest_Model/pos_process/test_data/dis_test_data_complex_exp_shuffle_3.npy")
dis_test_predict = np.load('D:... | yangyongjx/LoRaNet | pos_process/reprojection_img.py | reprojection_img.py | py | 2,149 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 13,
... |
73819276585 | from transformers import BertForTokenClassification, BertJapaneseTokenizer, get_linear_schedule_with_warmup
from flask import Flask, render_template, request
import argparse
import json
from predict import predict
import torch
import sys
from pathlib import Path
base_dir = Path(__file__).resolve().parents[1]
sys.path.a... | ujiuji1259/NER | BERT/api.py | api.py | py | 1,783 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
... |
29101674414 | # Debugging script to see how much GPS signal bounced around
import csv
import math
import numpy as np
from matplotlib import pyplot as plt
'''
# distance between points
dx_between_pts = []
prev_lat, prev_long = 0, 0
with open('2_2_23_gps.csv', mode ='r') as f:
csv_f = csv.reader(f)
for i, line in enumerate(csv_f... | bainro/jackal_melodic | plotGPS.py | plotGPS.py | py | 2,117 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gpxpy.parse",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "math.isnan",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.sort",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_... |
30630423030 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 16 19:35:10 2020
@author: isaacparker
"""
#Load libraries
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import pandas as pd
from scipy.stats import lognorm, gaussian_kde
# Specify font used in plots
font = 'Adobe Myungjo... | PV-Lab/Data-Driven-PV | Figure_1.py | Figure_1.py | py | 2,792 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "matplotlib.style.use",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "m... |
2856409659 | from matplotlib import pyplot as plt
# 题目：某月气温变化表
# 知识点总结：
# 1.x,y的输入
# 2.绘制 plt.plot()
# 3.设置图片大小 plt.figure()
# 4，保存到本地 plt.savefig()
# 5.描述信息 xlabel() ylable() title()
# 6.调整x，y的间距 xticks(),yticks()
# 7.线条的样式 linestyle=
# 8.标记出特殊的点
# 9.添加水印
# 设置图片大小
plt.figure(figsize=(16, 8), dpi=80)
# 左闭右开
... | srguf/DataAnalysis | matplotlib/折线图plot/单线/折线图.py | 折线图.py | py | 1,705 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "mat... |
22530303098 | import numpy as np
import pytest
from gym.spaces import Box, Discrete
from gym.wrappers import AtariPreprocessing, StepAPICompatibility
from tests.testing_env import GenericTestEnv, old_step_fn
class AleTesting:
"""A testing implementation for the ALE object in atari games."""
grayscale_obs_space = Box(low=... | openai/gym | tests/wrappers/test_atari_preprocessing.py | test_atari_preprocessing.py | py | 4,102 | python | en | code | 33,110 | github-code | 36 | [
{
"api_name": "gym.spaces.Box",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Box",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"lin... |
33997460968 | from fbchat import *
from fbchat.models import *
from Credentials import *
import json
import requests
import re
import os
import time
from threading import Thread
import socket
def finalVerification(url):
if re.search("homework-help", url):
return True
return False
def question_id(url):
try:
... | namdao2000/MessengerBot | MessengerBot.py | MessengerBot.py | py | 5,534 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.search",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.head",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 76,
... |
5275367948 | import os
import json
import psycopg2
import psycopg2.extras
from sentence_transformers import SentenceTransformer
from sklearn.metrics.pairwise import cosine_similarity
model = SentenceTransformer('distilbert-base-nli-mean-tokens')
alpha = 0.9
#Function that will take a list of goals and goal ids and output the sim... | kcirtapfromspace/cloudfoundry_circleci | src/bert/cleaned_bert_similarity.py | cleaned_bert_similarity.py | py | 1,797 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sentence_transformers.SentenceTransformer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.pairwise.cosine_similarity",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "psycopg2.extras",
"line_number": 37,
"usage_type": "a... |
4778253189 | import os
import tempfile
import pytest
import warnings
import numpy as np
import onnxruntime as ort
import torch
from torch import nn as nn
from typing import Optional, Union, Tuple, List
import transformer_engine.pytorch as te
from transformer_engine.common import recipe
import transformer_engine_extensions as tex
fr... | NVIDIA/TransformerEngine | tests/pytorch/test_onnx_export.py | test_onnx_export.py | py | 55,538 | python | en | code | 1,056 | github-code | 36 | [
{
"api_name": "os.getenv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
36663492998 | import news_parser as Util
import datetime
import time
import DBHandler
from tensorflow.keras.models import load_model
import predict
CompanyList=[]
Headless = True # False : 창띄움, True : 창없음
MakeCompanyList = False # 회사 리스트 갱신
host = '데이터베이스 주소'
ID= '계정명'
PW='비밀번호'
DB_name='DB이름'
def GetNewsInfo(driver):
headline... | woqls22/StockNews | BackEnd/PythonScripts/main.py | main.py | py | 4,929 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "news_parser.GetNews",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "news_parser.GetCompanyFromNews",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "news_parser.get_prices",
"line_number": 24,
"usage_type": "call"
},
{
"api_nam... |
7507981867 | import os, sys, random
from datetime import datetime
platforms = {
"darwin": "MacOS",
"win32": "Windows32",
"win64": "Windows64",
"linux": "Linux",
}
def run_tool():
while True:
now = datetime.now()
current_time = now.strftime("%H:%M:%S")
command = input(f"[{current_time}] ... | Vincent2212/CommandLine | main.py | main.py | py | 3,462 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sys.platform",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.system",... |
8114541825 | """
Defines a function wrapper that can be used to group calls to a 'listable'
function into batches.
"""
import sys
import traceback
import asyncio
from fsc.export import export
from . import wrap_to_coroutine
@export
class BatchSubmitter:
"""
Function wrapper that collects calls to a function of one para... | FrescolinoGroup/pyasynctools | fsc/async_tools/_batch_submit.py | _batch_submit.py | py | 4,827 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "asyncio.Queue",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "asyncio.Task",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"lin... |
7667794703 | #Usage: python3 kptable-appendix-11b.py [-h] [--help]
import datetime
import pathlib
import pandas as pd
import xlsxwriter
from lukeghg.crf.crfxmlconstants import ch4co2eq, n2oco2eq, ctoco2
from lukeghg.crf.crfxmlfunctions import ConvertFloat,ConvertSign, ConvertToCO2, SumTwoValues, SumBiomassLs
from lukeghg.crf.crfxml... | jariperttunen/lukeghg | lukeghg/lukeghg/nir/kptableappendix11b.py | kptableappendix11b.py | py | 24,795 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "lukeghg.crf.crfxmlfunctions.ConvertToCO2",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "lukeghg.crf.crfxmlconstants.ch4co2eq",
"line_number": 71,
"usage_type": "argument"
},
{
"api_name": "lukeghg.crf.crfxmlfunctions.SumBiomassLs",
"line_number": 8... |
31180051801 | from dataclasses import dataclass
from datetime import datetime
from sqlalchemy_serializer import SerializerMixin
from app import db
@dataclass
class Result(db.Model, SerializerMixin):
__tablename__ = 'results'
name: str
last_build: int
last_result: str
last_exception: str
traceback: str
u... | TomerCohen95/JenkinsViewer | models.py | models.py | py | 740 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "app.db.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "app.db",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "sqlalchemy_serializer.SerializerMixin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "datetime.... |
2986802119 | # https://towardsdatascience.com/a-detailed-guide-to-pytorchs-nn-transformer-module-c80afbc9ffb1
import math
from datetime import datetime
from os import path
import torch
import torch.nn as nn
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
from src.data_management.datasets.better_crnn_datas... | felix-20/gravitational_oceans | src/ai_nets/transformer.py | transformer.py | py | 14,567 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.nn.Dropout",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
2039679921 | #!/usr/bin/env python3
import requests, json, dewiki, sys
class ArgvError(Exception):
def __init__(self):
Exception.__init__(self, "Put in only '1' Value")
class Search:
ep = 'https://en.wikipedia.org/w/api.php'
session = requests.Session()
#endpoint
text = ''
def __init__(self, keywo... | youngmoneee/django_piscine | day03/ex02/request_wikipedia.py | request_wikipedia.py | py | 1,638 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.Session",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "dewiki.from_string",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "dewiki.from_string",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.argv",
... |
18903389392 | from uuid import uuid4
from logging import getLogger
from uchicagoldrtoolsuite import log_aware
from uchicagoldrtoolsuite.core.lib.convenience import log_init_attempt, \
log_init_success
from .abc.transformer import Transformer
from ..structures.archive import Archive
from ..structures.stage import Stage
__author... | uchicago-library/uchicagoldr-toolsuite | uchicagoldrtoolsuite/bit_level/lib/transformers/archivetostagetransformer.py | archivetostagetransformer.py | py | 4,571 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "abc.transformer.Transformer",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "uchicagoldrtoolsuite.core.lib.convenience.log_init_attempt",
"line_number": 37,
"usage_type... |
9084026058 | import requests
import json
import re
import unittest
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from selenium.common.exceptions import NoSuchElementException
# Create a new Firefox session
capa... | Axelflg/get_info_JSON | Find_info.py | Find_info.py | py | 7,050 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.common.desired_capabilities.DesiredCapabilities.FIREFOX.copy",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.common.desired_capabilities.DesiredCapabilities.FIREFOX",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
74039762662 | from rest_framework.decorators import api_view, permission_classes
from rest_framework.response import Response
from rest_framework import status
from rest_framework import serializers
from .models import *
from .permissions import ValidApiKey
import random
#Supporting Functions
def random_string(range_max,string=No... | ChrisBriant/nonogram_backend | api/views.py | views.py | py | 5,695 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.choice",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 65,
"usage_type": "name"
},
... |
19633985319 | from pydub import AudioSegment
from pydub.silence import split_on_silence
import os
import multiprocessing
def split_audio(filename, audio_folder='audio_folder', output_folder='segments'):
# Check if output folder exists and if not, create it
if not os.path.isdir(output_folder):
os.mkdir(output_folder)... | harshbhatia66/BallsDeepLearning | DataPipeline/segment_audio.py | segment_audio.py | py | 1,714 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.isdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11... |
11642826592 | from django.shortcuts import render
from django.views.generic import CreateView, UpdateView, ListView
from .models import Empresa
from .forms import EmpresaForm
from notafiscal.models import NotaFiscal
def empresa_list(request):
template_name ='empresa_list.html'
objects = Empresa.objects.all()
context ={... | vvalcristina/notafiscal | nfe/empresa/views.py | views.py | py | 1,063 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "models.Empresa.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Empresa.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Empresa",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": ... |
74144129703 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# =======================================
# Author : NareN
# git : https://github.com/DEVELByte
# =======================================
import logging
import os
import re
import argparse
from develbyte import create_app
logger = logging.getLogger("default")
def pur... | im-naren/flask-starter-kit | runserver.py | runserver.py | py | 1,027 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number":... |
31292738689 | import os
import configparser
def num_cpus():
try:
return len(os.sched_getaffinity(0))
except AttributeError:
return os.cpu_count()
def max_workers():
return (num_cpus() * 2) + 1
# Read configuration file
config = configparser.ConfigParser()
config.read('config.ini')
# Set bind variable ... | SaltisRS/ChatEndpoint-osrs | gunicorn_config.py | gunicorn_config.py | py | 467 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.sched_getaffinity",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.cpu_count",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 14,
"usage_type": "call"
}
] |
10978100631 | from gensim import corpora, models, similarities
import logging
from Preprocess.py import MyCorpus
processed_dir = 'Users/mlinegar/Data/LDA/BoW'
_num_topics = 10
dictionary = corpora.Dictionary.load(processed_dir + "firsttry.dict")
corpus = corpora.MmCorpus(processed_dir + "firsttry.mm")
tfidf = models.TfidfModel(co... | mlinegar/RedditScraping | Analysis/Tranformations.py | Tranformations.py | py | 435 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gensim.corpora.Dictionary.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gensim.corpora.Dictionary",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "gensim.corpora",
"line_number": 8,
"usage_type": "name"
},
{
"api_nam... |
2744613256 | from django import forms
from events.models import Event
from datetime import datetime
from django.contrib.admin import widgets
class EventInputForm(forms.ModelForm):
class Meta:
model = Event
fields = ['organization', 'name', 'start_time','end_time', 'description', 'mask_profile', 'contact_name', ... | DigitalEmpowermentATX/DECAwebsite | digital_inclusion/events/forms.py | forms.py | py | 1,532 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "events.models.Event",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.form... |
28713706413 | # ----encoding='utf-8'-----
# Chentian's code paradise
import smtplib
import email
# 负责构造文本
from email.mime.text import MIMEText
# 负责构造图片
from email.mime.image import MIMEImage
# 负责将多个对象集合起来
from email.mime.multipart import MIMEMultipart
from email.header import Header
mail_host="smtp.163.com"
mail_sender="chentstud... | codefreshstudent/day8 | 测试文件夹/测试发邮件.py | 测试发邮件.py | py | 1,338 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "email.header.Header",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 28,
"usage_type": "call"
},
... |
31888132367 | # -*- coding: utf-8 -*-
import argparse
import os
import schedule
import logging
import logging.config
import sys
import time
from redtrics.core.runner import Runner
logging.config.fileConfig(os.path.join(os.path.dirname(__file__), '..', 'etc', 'logging.ini'))
logger = logging.getLogger(__name__)
def main():
pa... | tuananh-nguyen/redtrics | redtrics/cli/app.py | app.py | py | 994 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.config.fileConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
35377030158 | from clean_doc import clean_doc
from gensim.models.doc2vec import LabeledSentence
from gensim.models import Doc2Vec
import gensim.models.doc2vec
import gensim
import multiprocessing
cores = multiprocessing.cpu_count()
assert gensim.models.doc2vec.FAST_VERSION > -1, "this will be painfully slow otherwise"
class Lab... | wrat/Semantic-Relationship-Between-News | Doc2vec_model/doc2vec.py | doc2vec.py | py | 1,124 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gensim.models",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "gensim.models.doc2vec.LabeledSentence",
"line_number": 18,
"usage_type": "call"
},
{
"... |
919257196 | import requests
from bs4 import BeautifulSoup
import re
from domains import CONTENT_AREA
from emoji import emojize
from urllib.parse import urlparse
# ChatGPT d2ee59b7-b368-4a5f-b3af-2e33b7f33b4a
example_url = [
"https://backlinko.com/actionable-seo-tips",
"https://www.semrush.com/blog/seo-tips/",
"https:/... | syahidmid/seoanalysis | scrapers/scrape.py | scrape.py | py | 6,496 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "domains.CONTENT_AREA",
... |
40372645232 | import datetime
from django.utils import timezone
from django.test import TestCase
from django.urls import reverse
from .models import Question
def create_question(question_text, days):
"""Create a question with the given `question_text` and published the given numer of `days`
offset to now (negative for qu... | gpuma/phuyu | polls/tests.py | tests.py | py | 4,413 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.utils.timezone.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mo... |
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