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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
31280135514 | import json
from django.db import IntegrityError
from django.http import HttpResponseRedirect, JsonResponse, HttpResponse
from django.shortcuts import render
from django.contrib.auth import authenticate, login, logout
from django.urls import reverse
from .models import *
from django.views.decorators.csrf import csrf_ex... | Rohithk2003/toolConnect | server/toolShare/views.py | views.py | py | 14,285 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.http.JsonResponse",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 37,
"usage_type": "call"
},
{
"api_na... |
31195742049 | #! /usr/bin/env python3
'''
Install links
Installation:
pip3 install --user colorama
pip3 install --user PyYAML
'''
import os
import sys
import enum
import subprocess
import yaml
from colorama import Fore, Back, Style
import time
global root
root = '~/'
class FileStatus(enum.Enum):
CorrectLink = f'{Fore.... | StonyBoy/linux-config | install_config.py | install_config.py | py | 9,700 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore.GREEN",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "colorama.Style.... |
25580931869 | # https://atcoder.jp/contests/dwacon5th-prelims/tasks/dwacon5th_prelims_b
# 解説見てしまった
# N≤1000の性質をうまく使う必要はない。O(N^2)で全部書き出せばいい。完全に引っ掛け。
# 答えの仮定、bitごとに見る、上位桁からのgreedyらへんがキーワード
from itertools import combinations
N, K = map(int, input().split())
A = list(map(int, input().split()))
B = [sum(A[s:t]) for s, t in combinations(... | masakiaota/kyoupuro | practice/cyan_diff/dwacon5th_prelims_b/dwacon5th_prelims_b.py | dwacon5th_prelims_b.py | py | 868 | python | ja | code | 1 | github-code | 18 | [
{
"api_name": "itertools.combinations",
"line_number": 9,
"usage_type": "call"
}
] |
2616321168 | """empty message
Revision ID: 90fdf582f177
Revises: 6d835ab0989d
Create Date: 2019-06-20 14:20:02.355877
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '90fdf582f177'
down_revision = '6d835ab0989d'
branch_labels = None
depends_on = None
def upgrade():
# ... | teliportme/remixvr | backend/migrations/versions/90fdf582f177_.py | 90fdf582f177_.py | py | 872 | python | en | code | 139 | github-code | 18 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
37081763326 | #!/usr/bin/env python
import os, sys
import cv2, json
import time, math
import copy, cPickle
import numpy as np
import os.path as osp
from config import cfg
import datasets.ds_utils as ds_utils
from datasets.cython_bbox import bbox_overlaps
import keras
from keras.layers import Input, Dense, merge
from keras.layers i... | fwtan/who_where | lib/models/PredictionCNN.py | PredictionCNN.py | py | 21,836 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "config.cfg.GRID_SHAPE",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "config.cfg",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "config.cfg.GRID_SHAPE",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "conf... |
29957911647 | # -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.3.3
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # This notebook is not prepar... | sugiyama34/AIciaSolidProject | 056.GraphicalModeling/Bayesian Network.py | Bayesian Network.py | py | 9,284 | python | en | code | 157 | github-code | 18 | [
{
"api_name": "pandas.options",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_... |
71426624360 | """Loading libraries and stuff"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
"""Preprocessing and metrics"""
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
"""Regressors"""... | aorursy/new-nb-3 | ferneutron_an-approach-using-different-kinds-of-regressors.py | ferneutron_an-approach-using-different-kinds-of-regressors.py | py | 5,206 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
7584896432 | import csv
from nltk.corpus import verbnet
verbs = verbnet.lemmas()
transitive_verbs = []
for verb in verbs:
class_ids = verbnet.classids(verb)
for class_id in class_ids:
vnclass = verbnet.vnclass(class_id)
vnframes = vnclass.findall('FRAMES/FRAME')
prettified_frames = verbnet.pprint... | reflashed/ariana | data/gen-verbs.py | gen-verbs.py | py | 630 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nltk.corpus.verbnet.lemmas",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.verbnet",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.verbnet.classids",
"line_number": 8,
"usage_type": "call"
},
{
"api_name... |
73902984679 | import requests
from bs4 import BeautifulSoup
LIMIT = 50
URL = "https://www.indeed.com/jobs?as_and=python&limit={LIMIT}"
def get_last_page():
result = requests.get(URL) # print해보면 200이 나와야 OK.
# print(result)
soup = BeautifulSoup(result.text, "html.parser")
pagination = soup.find("div", {"class": "paginat... | harleyGoo/basic_python | indeed.py | indeed.py | py | 1,840 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"l... |
33110863432 | from django.urls import path
from .views import RegisterView, LoginView, LogoutView
app_name = 'userauths'
urlpatterns = [
path("sign-up/",RegisterView, name='sign-up'),
path("sign-in/",LoginView, name='sign-in'),
path("sign-out/",LogoutView, name='sign-out'),
]
| AbdelrahmanElsaeid/Banking-App-with-Django | userauths/urls.py | urls.py | py | 285 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.RegisterView",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "views.LoginV... |
69848611559 | from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
class Driver:
def driver(f):
try:
driver = webdriver.Chrome(ChromeDriverManager().install())
driver.get("https://earsivportal.efatura.gov.tr/intragiris.html")
driver.set_win... | aliselcukkaya/fatura-olusturucu | driver.py | driver.py | py | 495 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "webdriver_manager.chrome.ChromeDriverManager",
"line_number": 7,
"usage_type": "call"
}
] |
3787461262 | import math
import random
import os
import cv2
import mahotas as mt
from pyasn1.type.univ import Null
from werkzeug.utils import secure_filename
import numpy as np
import pandas as pd
from flask import Flask, request, redirect, url_for, send_from_directory, render_template
from keras.preprocessing.image import ImageDat... | shanwij/Research-Orgicheck | app.py | app.py | py | 16,064 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "joblib.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"lin... |
3989531277 | from __future__ import unicode_literals
import pytest
from django.conf.urls import include, url
from django.core.exceptions import ImproperlyConfigured
from django.db import models
from django.test import TestCase
from rest_framework import routers, serializers, viewsets
from rest_framework.test import APIRequestFact... | shuckc/django-rest-framework | tests/test_relations_hyperlink_appname.py | test_relations_hyperlink_appname.py | py | 2,631 | python | en | code | null | github-code | 18 | [
{
"api_name": "rest_framework.test.APIRequestFactory",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 17,
"usage_type": "name"
},
{
... |
2660531397 | import os
import json
delimiter = os.sep
def init_config():
try:
os.mkdir(os.getcwd()+delimiter+"consts")
except Exception as e:
pass
def update_parameters(data):
parameters = {}
for d in data:
if int(d[5]) > 1:
bits = "{}-{}".format(d[6], int(d[6]) + int(d[5]))
... | Minfante377/CAN_plotter | helpers/config.py | config.py | py | 1,831 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.sep",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 26,
"u... |
946143213 | import sys
import ezdxf
import pandas as pd
def help():
print("Text file format: id,x,y,H")
print("e.g:\n1,500650.590,4204238.460,351.234\n2,500650.920,4204252.530,350.582")
print("\nExecution:\npython raportarisma.py coords_filename layer_name")
print("e.g:\npython raportarisma.py coords.txt apotipo... | lewisdoukas/autocad-points | raportarisma.py | raportarisma.py | py | 2,143 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ezdxf.new",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number":... |
7814116711 | bl_info = {
"name": "SwiftBlock",
"author": "Karl-Johan Nogenmyr",
"version": (0, 1),
"blender": (2, 6, 6),
"api": 44000,
"location": "Tool Shelf",
"description": "Writes block geometry as blockMeshDict file",
"warning": "not much tested yet",
"wiki_url": "http://openfoamwiki.net/ind... | nogenmyr/swiftBlock | __init__.py | __init__.py | py | 48,366 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "bpy.context",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "bpy.ops.wm.context_set_value",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bpy.ops",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "bpy.data",... |
75430946280 | # Reference에 들어있는 OpneCV_ShapeDetect Code가 실행되지 않아 찾아본 다른 코드.
# Reference Code <https://webnautes.tistory.com/1296>
import cv2 as cv
def setLabel(image, str, contour):
(text_width, text_height), baseline = cv.getTextSize(str, cv.FONT_HERSHEY_SIMPLEX, 0.7, 1)
x,y,width,height = cv.boundingRect(contour)
pt_... | flashwoman/Object-detection | testfiles_sey/Bookshelf/tests/test_shapeDetector.py | test_shapeDetector.py | py | 3,402 | python | ko | code | 1 | github-code | 18 | [
{
"api_name": "cv2.getTextSize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.boundingRect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.recta... |
11457442028 | import qrcode
from django.shortcuts import Http404
from vimarsh18 import models as v18_models
from django.core.files.base import ContentFile
from io import BytesIO, StringIO
from django.contrib.staticfiles.templatetags.staticfiles import static
from PIL import Image, ImageDraw, ImageFont
from django.contrib.staticfiles... | yksmbkkr/yuvacentral | vimarsh18/id_generator.py | id_generator.py | py | 6,003 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "vimarsh18.models.qr_code_reg.objects.filter",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "vimarsh18.models.qr_code_reg",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "vimarsh18.models",
"line_number": 42,
"usage_type": "name"
... |
23043527672 | # 단순 선택 정렬 알고리즘 구현
from typing import MutableSequence
def selection_sort(a: MutableSequence) -> None:
"""단순 선택 정렬"""
n = len(a)
for i in range(n - 1):
min = i # 정렬한 부분에서 가장 작은 원소의 인덱스
for j in range(i + 1, n):
if a[j] < a[min]:
min = j
a[i], a[min] = a[min], a[i]... | dlrjsud/python-study | basic algorithm/algorithm 6/selection_sort.py | selection_sort.py | py | 465 | python | ko | code | 1 | github-code | 18 | [
{
"api_name": "typing.MutableSequence",
"line_number": 6,
"usage_type": "name"
}
] |
34166416649 | from flask import (
Blueprint, flash, g, redirect, render_template, request, url_for
)
from werkzeug.exceptions import abort
from flaskr.auth import login_required
from flaskr.db import get_db
from flaskr.open_gate import open,open_pedestrian
bp = Blueprint('access', __name__)
@bp.route('/access')
@login_require... | riomonet/Access_Control_Systems | gate-app/flaskr/access.py | access.py | py | 592 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flaskr.auth.login_required",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flas... |
70569463400 | #intalar el sdk pip install azure-cognitiveservices-speech cambiar a en-ES para español
import azure.cognitiveservices.speech as speechsdk
# Configura las claves y el punto de conexión
key = "4baf4501910d46fcab901eb20cacae43"
endpoint = "https://eastus.api.cognitive.microsoft.com/sts/v1.0/issuetoken"
# Crea un objeto... | R0nald455/Ai-Azure | audio.py | audio.py | py | 1,338 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "azure.cognitiveservices.speech.SpeechConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "azure.cognitiveservices.speech",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "azure.cognitiveservices.speech.SpeechRecognizer",
"line_number": 12,... |
23088423680 | import serial
import time
test_string = "[serial port test]".encode('utf-8')
#port_list = ["/dev/ttyAMA0","/dev/ttyAMA1","/dev/ttyAMA2","/dev/ttyAMA3","/dev/ttyAMA4" ]
#for port in port_list:
serialPort = serial.Serial("/dev/ttyAMA0", 9600, timeout = 2, writeTimeout = 2)
while True:
ok = False
#try:
buff = bytear... | zacaj/zpin2 | sd/recTest.py | recTest.py | py | 670 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "serial.Serial",
"line_number": 6,
"usage_type": "call"
}
] |
40303183590 | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import openstack
from ansible_collections.os_migrate.os_migrate.plugins.module_utils \
import const, resource
class SecurityGroup(resource.Resource):
resource_type = const.RES_TYPE_SECURITYGROUP
sdk_class = openstac... | lcardonag/os-migrate | os_migrate/plugins/module_utils/security_group.py | security_group.py | py | 1,860 | python | en | code | null | github-code | 18 | [
{
"api_name": "ansible_collections.os_migrate.os_migrate.plugins.module_utils.resource.Resource",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "ansible_collections.os_migrate.os_migrate.plugins.module_utils.resource",
"line_number": 10,
"usage_type": "name"
},
{
... |
33395892969 | import numpy as np
from scipy.fft import fft, ifft, fftfreq, fftshift, ifftshift
import matplotlib.pyplot as plt
from datetime import datetime
from qudofedi import Qjob
linear_name_list = ['a', 'absorption']
thirdorder_name_list = ['gsb', 'ground state bleaching', 'se', 'stimulated emission', 'esa', 'excited state abs... | federicogallina/qudofedi | qudofedi/postprocessing.py | postprocessing.py | py | 10,425 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "qudofedi.Qjob",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
24444180911 | import jinja2
import settings
from java_instruction_conversion import get_instruction
from jinja2_view_models import get_decision_block_tree
from smt_functions import z3_truth_check
def get_java_type(model, ignore_size):
"""Maps type names from SLCO to Java"""
if model.base == "Boolean":
return "bool... | melroy999/2IMP00-Experimentation | SLCOtoJAVA2.0_det/python-textx-jinja2/jinja2_filters.py | jinja2_filters.py | py | 13,975 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "java_instruction_conversion.get_instruction",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "java_instruction_conversion.get_instruction",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "settings.add_counter",
"line_number": 78,
"usage_... |
16774568753 | import requests
import bs4
import openpyxl
import re
# 抓取整个页面
def get_url(url):
# headers = [
# {'User-Agent': 'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'},
# {'User-Agent': 'Mozilla/5.0 (Windows NT 6.2) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/1... | mffseal/WebSpider | KoolearnSchoolSpider/SchoolSpider.py | SchoolSpider.py | py | 7,601 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"lin... |
71237889320 | from flask import Flask, redirect, url_for, request, render_template, make_response, flash
app = Flask(__name__)
app.secret_key = "super secret key"
@app.route('/')
def index():
return render_template('index.html')
@app.route('/login', methods=['POST','GET'])
def login():
error = None
if request.method ... | Jiayuann/half-moon | app.py | app.py | py | 1,772 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
28893825579 | from tkinter import *
from PIL import Image,ImageTk
from random import randint
import os
root =Tk()
root.title('Stone Paper Scissor')
root.configure(background ='#008080')
# #9b59b6
#pictures
stone_img = ImageTk.PhotoImage(Image.open("rock107_1.jpeg"))
paper_img = ImageTk.PhotoImage(Image.open("paper107_1.jpeg"))... | Thirumurugan-12/Final-Project---REG | final.py | final.py | py | 3,523 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"li... |
27161487272 | import unittest, re, subprocess, sys
from functools import partial
def extract_results(stdout):
r = re.compile('^([^:]+: )?([^\s]+)')
return list(
map(
lambda chunk: r.match(chunk).group(2),
filter(
lambda line: len(line) > 0,
stdout.decode('ascii').split('\n')
)
)
)
de... | johnoliverdriscoll/py-ggmpc | test/test_command_line.py | test_command_line.py | py | 5,894 | python | en | code | 20 | github-code | 18 | [
{
"api_name": "re.compile",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.executable",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"... |
12475491362 | import sys
import os
import datetime
from datetime import timedelta
import pymysql.cursors
from sa_numeric import get_pct_change
from sa_logging import log_this
PDIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(os.path.abspath(PDIR))
from settings import SmartAlphaPath, debug
SETT = Sma... | taatuco/sa_data_collection | core/check_instr_price_inconsistency.py | check_instr_price_inconsistency.py | py | 2,814 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
21580331590 | import os.path
from typing import Any, Callable, Optional, Tuple, List
from PIL import Image
import torchvision.datasets as dset
from preprocessors import get_transform
import torch
import numpy as np
import json
from argparse import ArgumentParser
class CocoDataset(dset.VisionDataset):
"""`MS Coco Detection <ht... | amazon-science/alexa-arena | modeling/vision_model/data_generators/coco_data_generator.py | coco_data_generator.py | py | 5,561 | python | en | code | 75 | github-code | 18 | [
{
"api_name": "torchvision.datasets.VisionDataset",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torchvision.datasets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 33,
"usage_type": "name"
},
{
"api_... |
43108536168 | import scipy.stats as ss
import numpy as np
import matplotlib.pyplot as plt
#mean=0 , standard deviation=1 is normal distribution for obsv. coming fom class 0
#mean=1 , standard deviation=1 is normal distribution for obsv. coming fom class 1
#generating synthetic data
def generate_synth_data(n=50):
"""Create two s... | enginBozkurt/Python | Introduction to Classification/harvardEx15.py | harvardEx15.py | py | 778 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.concatenate",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.concatenate",
... |
42160200881 | import requests
from decimal import Decimal
from flask import Flask
from flask import render_template, jsonify, request
from engine import *
app = Flask(__name__)
app.secret_key = '12345'
@app.route('/')
def hello_world():
return render_template('home.html')
@app.route('/choice', methods=["POST"])
def userCho... | eddanapudi/ahdbot-conversational | app.py | app.py | py | 2,247 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
23307661463 | import os
from datetime import datetime as dt
from dotenv import load_dotenv
from flask import Flask, render_template
from pymongo import MongoClient
from pytz import timezone, utc
from rq import Queue
from dbstats import globals
from dbstats.refresh import refresh
from worker import conn
if 'MONGODB_URI' not in os.... | IshanManchanda/DankBot-Stats | app.py | app.py | py | 1,645 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"... |
9421055541 | #!/usr/bin/python
# coding:utf-8
import os
import codecs
import jieba.posseg as posseg
import warnings
warnings.filterwarnings(action='ignore', category=UserWarning, module='gensim')
from gensim import corpora, models, similarities
class SimilarText:
def __init__(self, stop_words_path):
if os.path.exists... | lxy6688/lianxi | nlp_service/service/similar/similar.py | similar.py | py | 3,715 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "codecs.open",
... |
71426505960 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.... | aorursy/new-nb-3 | esaeki_restaurant-revenue-prediction.py | esaeki_restaurant-revenue-prediction.py | py | 2,722 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.walk",
"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": "pandas.read_csv",
"line_number"... |
23513419559 | import yaml
key_lookup='companies'
with open('data.yaml') as file:
yaml_data = yaml.load_all(file, Loader=yaml.FullLoader)
for data in yaml_data:
for key, v in data.items():
# print(key, "->", v)
if key == key_lookup:
print(key, "-->", v)
... | MattyStacks/python_snippets | yaml_snippet_1.py | yaml_snippet_1.py | py | 352 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "yaml.load_all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "yaml.FullLoader",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "yaml.dump",
"line_number": 16,
"usage_type": "call"
}
] |
28185451815 | # vim:fileencoding=utf-8
import os, shutil
from flask import Blueprint, render_template, request, redirect, url_for, send_from_directory
from singleton import db
from models.book import Book
from models.crawler import Crawler
from werkzeug import secure_filename
import utils, constants
book_mgr = Blueprint('book_mgr'... | GHScan/DailyProjects | Web/OpenComic/src/views/book_mgr.py | book_mgr.py | py | 3,261 | python | en | code | 32 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.book.Book.query.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mode... |
26103284138 | import sys
from validacpf import valida_cpf
from geradorDeCPF import gera_cpf
from PyQt5.QtWidgets import QApplication, QMainWindow
import janela
class GeraValidaCPF(QMainWindow, janela.Ui_MainWindow):
def __init__(self, parent=None):
super().__init__(parent)
super().setupUi(self)
self.btn... | DanilooSilva/Cursos_de_Python | Curso_de_Python_3_do_Basico_Ao_Avancado_Udemy/aula155/app.py | app.py | py | 1,031 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "janela.Ui_MainWindow",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "geradorDeCPF.gera_cpf",
"line_number": 16,
"usage_type": "call"
},
{
"api_nam... |
34705185913 | from django.http import QueryDict
from rest_framework.parsers import MultiPartParser, FormParser, JSONParser
from knox.models import AuthToken
from rest_framework import status, permissions, generics
from rest_framework.response import Response
from ..utils.utils import get_user_from_token, get_token, validate_contact... | dimgatz98/click | click_backend/restapi/views/user_views.py | user_views.py | py | 9,022 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.generics.CreateAPIView",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "rest_framework.parsers.MultiPartParser",
"line_number": 25,
"usage_typ... |
42144687651 | import os
import json
import pandas as pd
import fnmatch
from pyannote.audio import Pipeline
from tqdm import tqdm
pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization")
data_path = './ABI_data/Audios/'
diary_path = data_path + 'diarization/'
if not os.path.exists(diary_path):
os.mkdir(diary_path)
# ... | eddie8615/ABI_research | ABI_data_process.py | ABI_data_process.py | py | 1,546 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyannote.audio.Pipeline.from_pretrained",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyannote.audio.Pipeline",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_... |
2268657670 | from django.shortcuts import render, get_object_or_404, redirect
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from .models import Cart, CartItem
from shop.models import Article
# Create your views here.
@login_required
def cart_detail(request):
cart, created = Cart... | HamaBarhamou/Pi_network_Market_Niger | panier/views.py | views.py | py | 2,139 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "models.Cart.objects.get_or_create",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Cart.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Cart",
"line_number": 11,
"usage_type": "name"
},
{
"api_name":... |
69925927082 | import os
import socket
import struct
import io
from hexdump import hexdump
def main():
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# 55000-55511
sock.settimeout(5)
sock.connect(('127.0.0.1', 55205))
with open('a.bin', 'rb') as f:
data = f.read()
# buf = [0x6... | Jarvan40/UAutoProfiler_Reader | Data/pconnect.py | pconnect.py | py | 6,480 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "socket.socket",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "socket.SHUT_RD... |
13363785939 | import logging
import oauth
import settings
import utils
import webapp2
URL = 'https://api.twitter.com'
OAUTH_APP_SETTINGS = {
'consumer_key': settings.TWITTER_KEY,
'consumer_secret': settings.TWITTER_SECRET,
'request_token_url': URL + '/oauth/request_token',
'access_token_url': URL + '/oauth/access_token',
'us... | mjibson/junk | journalr/twitter.py | twitter.py | py | 770 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "settings.TWITTER_KEY",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "settings.TWITTER_SECRET",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "utils.absolute_uri",
"line_number": 23,
"usage_type": "call"
},
{
"api_nam... |
24458674707 | import enum
from collections import defaultdict
from typing import List, Iterable, Tuple, Dict
from itertools import chain
import numpy as np
from world_render.world_textures.texture_manager import WorldTextureManager, WorldTileIndex
from world_render.world_textures.utils import Corner
HAS_TEXTURE = 32
TileCondition... | mattanf2/PyOrthoRender | world_render/geometrizer.py | geometrizer.py | py | 8,855 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Dict",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "world_render.world_textures.texture_manager.WorldTileIndex",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "world_render.world_textures.texture_manager.WorldTileIndex",
"line_num... |
74216787241 | #!/usr/bin/env python3
import getopt
import logging
import os
import sys
import unittest
# config logger before importing other dependencies
CREATE_LOGS = True
LOG_FILE = "logs/main.log"
logging.basicConfig(
level=logging.DEBUG, filename=LOG_FILE if CREATE_LOGS else "")
logger = logging.getLogger(__name__)
from b... | lucaspar/trustas | src/main.py | main.py | py | 4,208 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "network.test... |
23855237765 | '''
Activity: make the ball bounce off the window borders.
'''
import pygame
pygame.init()
# Set up the drawing window
WINDOW_WIDTH, WINDOW_HEIGHT = 500, 500
screen = pygame.display.set_mode([WINDOW_WIDTH, WINDOW_HEIGHT])
running = True
CIRCLE_COLOR = (0, 0, 255)
CIRCLE_RADIUS = 50
CIRCLE_X = 250
CIRCLE_Y = 250
X_... | joshkarbi/zero-to-python-hero | Lesson 5 - Thinking Logically/1.py | 1.py | py | 732 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.event.g... |
18838078421 | from xml.etree import ElementTree
from flask import (
Blueprint, jsonify, render_template, request
)
import requests
from app.response import get_last_day_bucketed_aqi
from app.reading import write_reading
bp = Blueprint('readings', __name__)
@bp.route('/outside', methods=('GET',))
def outside():
url = 'htt... | davidshere/airquality | airquality-api/app/views.py | views.py | py | 1,001 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "xml.etr... |
7575268925 |
import os
import selenium
from selenium import webdriver
with open('sites.txt') as f:
sites = [line.rstrip() for line in f]
BROWSER = os.getenv("BROWSER", "CHROME")
print("TESTING BROWSER: ", BROWSER)
NUM_RUNS = 10
LOAD_TIMES = []
for site in sites:
LOAD_TIMES.append({"site": site, "with_extension": [], "d... | meugur/browser-script-caching | extensions/tests.py | tests.py | py | 2,433 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "selenium... |
24914570526 | """
References:
- https://github.com/facebookresearch/pytorchvideo/blob/main/pytorchvideo/data/ucf101.py
"""
from __future__ import annotations
import json
import os
import pathlib
from functools import partial
from pathlib import Path
from typing import Any, Callable
import torch
from iopath.common.file_io import g... | juliendenize/eztorch | eztorch/datasets/ucf101.py | ucf101.py | py | 13,950 | python | en | code | 25 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_nu... |
20550344044 | import sympy as sp
from sympy.abc import a
import autograd.numpy as np
from pint import UnitRegistry
ureg = UnitRegistry()
class Var(sp.core.Symbol):
def __new__(cls, name, value=None, unit=None):
out = super().__new__(cls, name)
out.varval = value
out.varunit = unit
return out
def... | PEARLAUV/pearlmdo | sympywrap.py | sympywrap.py | py | 1,713 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pint.UnitRegistry",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sympy.core",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sympy.Basic",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sympy.lambdify",
... |
9757249145 | import urllib.parse
import urllib.request
import json
from flask import Flask, Blueprint, request, flash, redirect, g
from flask_login import current_user, login_user, LoginManager, logout_user, url_for
from .helpers import get_referrer_name, \
get_sso_center_url, \
get_sso_center_logout_url, \
get_sso_ce... | dvbug/tcc3-portal | tcc3portal/tcc_core/sso.py | sso.py | py | 6,067 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "helpers.get_referrer_name",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.request.referrer",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "h... |
32762753126 | from django.http import HttpResponseRedirect, HttpResponse,\
HttpResponseNotFound
from django.shortcuts import render_to_response
from django.contrib.auth.decorators import login_required
from django.core.urlresolvers import reverse
from django.template import RequestContext
from django.contrib.contenttypes.mod... | skyl/django-geoms | views.py | views.py | py | 6,305 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "geoms.forms",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "geoms.models.Geom.objects.all",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "geoms.models.Geom.objects",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name... |
33205505532 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import KFold
from sklearn.metrics import mean_squared_error, roc_auc_score
from sklearn.dummy import DummyClassifier
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score, f1_score, reca... | rossmccrann/ml_project | models.py | models.py | py | 8,503 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.recall_score",
"line_number": 28,
"usage_type": "call"
... |
27704103138 | #########################################################################
## Project: Block and date extraction ##
## Date: January 2022 ##
## Author: Tono / Sung Wook Chung (Transcranial Solutions) ##
## transcranial.solution... | Transcranial-Solutions/ICONProject | data_analysis/06_wallet_ranking/wallet_extraction_ctznode.py | wallet_extraction_ctznode.py | py | 6,736 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "pandas.set_option",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
26222300503 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import json
import csv
from pymongo import MongoClient
import xml.etree.ElementTree as ET
from fuzzywuzzy import fuzz
import re
# In[2]:
root = ET.parse("./../../config.xml")
DB = root.find("mongodb").find("db").text
COLLECTION_1 = root.find("projects").find('.//pr... | nikalexo/vulnerability_reporters | Reporters/Rep_2_Info_4/Reporters_from_bugs.py | Reporters_from_bugs.py | py | 10,735 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.load... |
27261310389 | import torch.nn as nn
from argparse import ArgumentParser
def conv3x1(in_planes, out_planes, stride=1, is_transpose=False):
"""3x1 convolution with padding"""
if is_transpose:
return nn.ConvTranspose2d(in_planes, out_planes, kernel_size=(3,1), stride=stride,
padding=(1,0), bias... | PanHaulin/CFNPM | cfnp/modules/conv.py | conv.py | py | 7,467 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torch.nn.ConvTranspose2d",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
964849551 | from django import forms
from auctions.models import Auction, Bid, Transaction
class NewAuctionForm(forms.ModelForm):
class Meta:
model = Auction
template_name = 'auctions/new.html'
fields = ['grade', 'region', 'quantity',
'unit_price', 'buy_it_now_price',]
class... | MaxGosselin/alpha-auctions | auctions/forms.py | forms.py | py | 1,333 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "auctions.models.Auction",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.... |
17165304700 | from django.conf.urls import url, include
from . import views
app_name = 'recepty'
urlpatterns = [
# /recepty/
url(r'^$', views.index, name='index'),
# /recepty/kuchari/
url(r'kuchari/$', views.kuchari, name='kuchari'),
# /recepty/kuchari/<kuchar_id>/
url(r'^kuchari/(?P<kuchar_id>[0-9]+)/$... | petrmatej94/SPJA-RecipesSite | recepty/urls.py | urls.py | py | 1,865 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django... |
28020724214 | from django.conf.urls import patterns, url, include
from rest_framework.urlpatterns import format_suffix_patterns
from story_api.views import *
urlpatterns = patterns('story_api.views',
url(r'^$', 'api_root'),
url(r'^stories/$', StoryList.as_view(), name='user-list'),
url(r'^stories/(?P<pk>\d+)/$', StoryDe... | thedesloge/living-galapagos | story_api/urls.py | urls.py | py | 1,007 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "djan... |
10548601409 | from __future__ import annotations
import sys
from dataclasses import dataclass
from typing import Callable, Optional, Tuple
import numpy as np
import scipy.sparse
from typing_extensions import Protocol, runtime_checkable
from .grid import Grid
from .isoline import Isoline
from .lip import Lip
from .square import Sq... | denisrosset/vegoia | src/vegoia/__init__.py | __init__.py | py | 3,499 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing_extensions.Protocol",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing_extensions.runtime_checkable",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "grid.Grid",
"line_number": 36,
"usage_type": "name"
},
{
"api_name... |
29165860073 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from .models import Post, Category
from .forms import PostCreateForm
def index(request):
#posts = Post.objects.all().order_by('id')
q = request.GET.get('q') if request.GET.get('q') != None else ''
posts = Post.objects.filt... | YutaHoshino414/django_sample01 | blogs/views.py | views.py | py | 1,624 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Post.objects.filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "model... |
39067166176 | import numpy as np
import cv2
import sys
PATH_VIDEO = r'D:\Databases\Videos'
PONTE_VIDEO = PATH_VIDEO + r'\Ponte.mp4'
algorithm_types = {
'KNN': cv2.createBackgroundSubtractorKNN(),
'GMG': cv2.bgsegm.createBackgroundSubtractorGMG(),
'CNT': cv2.bgsegm.createBackgroundSubtractorCNT(),
'MOG': ... | RobertoRosa7/python | py_detecao_movimentos/kernel.py | kernel.py | py | 2,155 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.createBackgroundSubtractorKNN",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.bgsegm.createBackgroundSubtractorGMG",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.bgsegm",
"line_number": 10,
"usage_type": "attribute"
},
... |
41291516580 | import datetime
import shutil
import os
# Target directory takes in the base directory containing folders labelled by date
# DaysPast is how many days ago do you want to delete the files from (0 = Today, 1 = Yesterday, etc)
def cleanDirectory (targetDirectory, daysPast):
#First, determine the exact date of the day... | andrewjohnston99/3PDC | Scheduler/cleanupRecordings.py | cleanupRecordings.py | py | 872 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "datetime.datetime.today",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.li... |
21107618064 | import os
import sys # noqa: F401
import onnx
from onnx import OperatorSetIdProto, TensorProto, helper # noqa: F401
# Edge that needs to be cut for the split.
# If the edge is feeding into more than one nodes, and not all the nodes belong to the same cut,
# specify those consuming nodes that need to be cut
class ... | microsoft/onnxruntime | orttraining/tools/scripts/pipeline_model_split.py | pipeline_model_split.py | py | 15,126 | python | en | code | 9,700 | github-code | 18 | [
{
"api_name": "onnx.helper.make_tensor_value_info",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "onnx.helper",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "onnx.TensorProto",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "... |
70911810600 | from bpy.props import *
from bpy.types import Node, NodeSocket
import arm
from arm.material.arm_nodes.arm_nodes import add_node
from arm.material.parser_state import ParserState
from arm.material.shader import Shader
if arm.is_reload(__name__):
arm.material.arm_nodes.arm_nodes = arm.reload_module(arm.material.arm... | armory3d/armory | blender/arm/material/arm_nodes/shader_data_node.py | shader_data_node.py | py | 4,413 | python | en | code | 2,916 | github-code | 18 | [
{
"api_name": "arm.is_reload",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "arm.material",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "arm.reload_module",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "arm.material",
"... |
34343878558 | import pandas as pd
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix
from sklearn.metrics import plot_confusion_matrix,accuracy_score
data = pd.read_csv('train.csv')
X = data.iloc[:,:-1].values
y = data.iloc[:,-1].values
X_train, X_test, ... | ulkuyondem/MobilePriceClassification | MobilePriceClassification/py_code/ekstra.py | ekstra.py | py | 1,735 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.plot_confusion_matrix",
"line_number": 15,
"usage_type": "call"
... |
21603029885 | import PySimpleGUI as sg
import psutil
from dataclasses import dataclass, field
sg.theme('black')
GRAPH_W = 160
GRAPH_H = 40
STEP = 5
MEGABYTE = 1024*1024
GIGABYTE = MEGABYTE*1024
NETWORK_BANDWIDTH = 2
@dataclass
class LineGraph:
name: str
color: str
width: int = GRAPH_W
height: int = GRAPH_H
... | toantht/py-monitor | monitor.py | monitor.py | py | 3,242 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PySimpleGUI.theme",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Text",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "dataclasses.field",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.... |
24461900018 | from flask import Blueprint, abort, jsonify, g, Response, json, request
from sqlalchemy import and_
from functools import wraps
from app import db
from app.shoppinglist.models import (ShoppingList, Product,
ShoppingListToProduct)
from app.users.auth import needs_auth
from app.users... | jaapz/winkel-van-de-toekomst | app/shoppinglist/api.py | api.py | py | 5,254 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.shoppinglist.models.ShoppingList.query.get",
"line_number": 21,
"usage_type": "call"
},
{
"ap... |
39517334978 | import pandas as pd
from abc import ABC, abstractmethod
from datetime import datetime
ticker_dict = {
'XTB': 'xtb',
'AMICA': 'amc'
}
class GetDataFromUrl(ABC):
def __init__(self, ticker):
self.ticker = ticker
@abstractmethod
def return_data_list(self):
pass
class GetDataFromSto... | dawidpietras/gpw-stocks | app/data_fetcher.py | data_fetcher.py | py | 2,997 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "abc.ABC",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime... |
41313283888 | import random, requests, zodiac
from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/')
def main():
return render_template('index.html')
@app.route("/gethoroscope", methods=["POST"])
def get_horoscope():
name = request.form["query_name"]
if not zodiac.check_name(name):
... | adam-formela/Adam-s-repo | horoscope/main.py | main.py | py | 2,010 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
26257639107 | import json
from flask import Flask, request
from flask_cors import CORS
app = Flask(__name__)
DEBUG = True
if DEBUG:
CORS(app)
GLOBAL_TODO = [
{
'id': 0,
'name': 'do the barrel roll',
'checked': True
},
{
'id': 1,
'name': 'fap fap',
'checked': False
... | usernameisalreadytaken4/react-todo | main.py | main.py | py | 1,101 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
26345943734 | from DatasetHandler import DatasetHandler
from CollocationHandler import CollocationHandler
import matplotlib.pyplot as plt
def plot_frequency_result(results):
plt.figure(figsize=(15, 10))
plt.barh([item[0] for item in results], [item[1] for item in results])
plt.xticks(rotation=45, ha='right')
plt.xl... | Enesaktrk/CSE4095NLPS22_Grp8 | delivery1/main.py | main.py | py | 1,551 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.barh",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplo... |
70646067560 | from flask import Flask, render_template
from bs4 import BeautifulSoup
import requests
app = Flask(__name__)
url = 'https://www.worldometers.info/coronavirus/'
response = requests.get(url).text
soup = BeautifulSoup(response, 'html.parser')
# find all div with id maincounter-wrap
data = soup.find_all("div", id="mainc... | alxayeed/scrapper-corona-info | web scrapper/corona_info.py | corona_info.py | py | 1,203 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"... |
40234155426 | import argparse
import os
from pathlib import Path
import random
from shutil import copy
def main(args: argparse.Namespace):
data_dir = args.recordings
train_dir = args.training
validation_dir = args.validation
species_to_list = {}
for folder in os.listdir(data_dir):
species = folder
... | BurkeO/Final_Year_Project | Tools/split_to_train_and_validation/main.py | main.py | py | 2,050 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.Namespace",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
75023799399 | import math
from typing import Union
from modbus_client.resources.codes import Codes
protocol_code = '0000'
def deserialize_message(message: Union[str, bytes]) -> Union[str, dict]:
"""
Function for deserializing messages of type string or bytes.
Args:
message: Message to be deserialized, can be... | bronemos/modbus-client | modbus_client/communication/serializer.py | serializer.py | py | 7,622 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.Union",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "modbus_client.resources.codes.Codes.READ_COILS",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "modbus_client.resources.codes.Codes",
"line_number": 25,
"usage_type": "n... |
17309146899 | import os
import time
from datetime import datetime
from dateutil.tz import gettz, tzlocal
from dateutil.parser import parse
myzones = {
"bnl": "America/New_York",
"cern": "Europe/Zurich",
"fnal": "America/Chicago",
"lbl": "America/Los_Angeles",
"Z": "UTC",
}
myfmt = {
"myf": "%Y-%m-%d--%H-... | rdemaria/pyoptics | pyoptics/rdmdate.py | rdmdate.py | py | 2,972 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "dateutil.tz.gettz",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "dateutil.pa... |
41952019178 | """
Projet Introduction à la robotique
FORDANT - GOUDIN - POIRIER
RobotNavTriangulation (intéressant pour le calcul mais non fonctionnel)
"""
import math
import Robot as rob
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import Timer as tmr
import Potential
# robot
x0 = -... | BaptistePOIRIER/M1-RoboticProject | RobotNavPotTriangulation.py | RobotNavPotTriangulation.py | py | 6,863 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Robot.Robot",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "Potential.Potential",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "Timer.Timer",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "Timer.Timer",
"line_n... |
34424662120 | import openai
import streamlit as st
import numpy as np
import os
filename = 'kb1.txt'
test_knowledge_base = np.loadtxt(filename, delimiter=',', skiprows=1, dtype=str)
def summarize(prompt):
augmented_prompt = f"as long as the answer is contained by this data: '{test_knowledge_base}', reply to '{prompt}', only us... | ploesteanuDan/text-summarizer | text_summarizer/functions_w_kb.py | functions_w_kb.py | py | 830 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "openai.Completion.create",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "openai.Completion",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "streamli... |
3374669835 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import models
# model_path = '../PyTorch_Pretrained/vgg16-397923af.pth'
class VGG(nn.Module):
def __init__(self, pretrained=True):
super(VGG, self).__init__()
vgg = models.vgg16(pretrained=pretrained)
# if... | liulei1260/MOCSE13 | backbones NN/C3Vgg.py | C3Vgg.py | py | 794 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torchvision.models.vgg16",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torchvision.mode... |
6696666504 | import logging
from ..mod_raw_test.raw_srvr_glue import RAW_SERVER_EX
from .negotiate_server_raw import NEGOTIATE_SERVER_RAW
from ..negotiate_server import NEGOTIATE_SERVER
def _run_test(message):
""" Run the Raw Test test """
raise RuntimeError("Not implemented")
def mod_load(context, message):
""" Invok... | neubot/neubot-server | neubot/mod_raw_test/neubot_module.py | neubot_module.py | py | 1,130 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.debug",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "negotiate_server.NEGOTIATE_SERVER.register_module",
"line_number": 19,
"usage_type": "call"
},
{
"api... |
36029615655 | import datetime
from statistics import median
from math import floor, ceil
import os
from flask import Flask, render_template, redirect, url_for, flash, request, abort, jsonify
from flask_bootstrap import Bootstrap
from flask_ckeditor import CKEditor
from flask_wtf import FlaskForm
from datetime import date
from werkze... | Dean-Baylem/Campaign_Website | server.py | server.py | py | 89,195 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.randint",
"line_number": 178,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 188,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 189,
"usage_type": "name"
},
{
"api_name": "math.ceil",
"line_number... |
12890036501 | from flask import Flask, render_template, jsonify, request
from mans.models import *
from mans import app
@app.route("/")
def index():
shops = Shop.query.all()
return render_template("index.html", shops=shops)
@app.route("/text", methods=["POST"])
def text():
"""Отзывы"""
name = request.form.get("nam... | Xamerzaev/api | mans/routes.py | routes.py | py | 1,635 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.render_template",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mans.app.route",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "mans.app",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "flask.request.form.get",
... |
44211266790 | import os
import json
import requests
from urllib import parse
import sys
import urllib
import urllib.request
from bs4 import BeautifulSoup
import re
import time
from tqdm import tqdm
def get_play_list(url):
# <a.+?href=\"(.+?)\".*>(.+)</a>
# site-piclist_pic_link
r = requests.get(url)
p = re.compile('... | godka/jade-spider | main.py | main.py | py | 2,157 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 36,
... |
6570928006 | import filters as fil
import cv2
import numpy as np
img = cv2.imread("standard_test_images/cameraman.tif",cv2.IMREAD_GRAYSCALE)/255.0
"""
cv2.imwrite("SobelX.tif", fil.sobelX(img))
cv2.imwrite("SobelY.tif", fil.sobelY(img))
cv2.imwrite("Box-Blur.tif", fil.boxBlur(img))
cv2.imwrite("Gaussian-Blur.tif", fil.gaussianBlur... | dewitte0210/ComputerScienceClasswork | Image Processing/Homework3.py | Homework3.py | py | 1,545 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"lin... |
15949647973 | #coding:utf-8
"""
对bugreport进行预处理，
1.分句
2.分词
3.过滤标点符号
4.过滤停用词
5.提取词干
"""
import nltk
from nltk import sent_tokenize
import numpy as np
import pandas as pd
import re
import inflection
import string
from assets import stop_words, java_keywords
from nltk.stem.porter import PorterStemmer
from nltk.stem import SnowballStem... | datnvhust/bug_locator | buglocalizer/prepocess.py | prepocess.py | py | 5,064 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "nltk.data.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nltk.data",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 39,
... |
1608588070 |
from airflow import DAG
import pandas as pd
from airflow.operators.python_operator import PythonOperator
from datetime import datetime
import requests
from clickhouse_driver import Client
import logging
import numpy as np
default_args = {'owner': 'airflow',
'start_date': datetime(2021, 1, 1)
... | abdul905/EOC-Airlfow-ETL | dags/ICM_Cluster_HH_Automated.py | ICM_Cluster_HH_Automated.py | py | 5,795 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.Fil... |
23932276678 | import sys
import matplotlib.pyplot as plt
import numpy as np
sys.path.append("../vjo")
from vjo.fk import ArmFK # noqa E402
from vjo.utils import setup_plot # noqa E402
def plot_arm(theta, l, ax): # noqa
x = [0]
y = [0]
x.append(l * np.cos(theta[0]))
y.append(l * np.sin(theta[0]))
x.append(... | contagon/vjo | scripts/propagate.py | propagate.py | py | 2,476 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": ... |
1173870542 | from typing import Callable, Iterable, List, Optional, Tuple
import numpy as np
from rex.utils.io import dump_iterable, load_embedding_file
def _convert_list_str_to_list(string: str, item_type: Callable):
ret = []
if string.startswith("["):
string = string[1:]
if string.endswith("]"):
st... | Spico197/REx | rex/data/vocab.py | vocab.py | py | 4,929 | python | en | code | 21 | github-code | 18 | [
{
"api_name": "typing.Callable",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
14398211893 | import os.path
import numpy as np
try:
import note_seq
from note_seq.protobuf import music_pb2
_HAS_NOTE_SEQ = True
except ImportError:
print("Note Sequence not found. Please install it with `pip install note-seq`.")
_HAS_NOTE_SEQ = False
try:
import librosa
import librosa.display
_HAS... | behzadhaki/GrooveTransformer | hvo_sequence/hvo_seq.py | hvo_seq.py | py | 120,742 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "hvo_sequence.custom_dtypes.Metadata",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "hvo_sequence.custom_dtypes.GridMaker",
"line_number": 88,
"usage_type": "call"
},... |
34249812123 | from flask import Flask, render_template, request, redirect, session
app = Flask(__name__)
app.secret_key = 'ThisIsSecret'
def sumSessionCounter():
try:
session['counter'] += 1
except KeyError:
session['counter'] = 1
@app.route('/')
def index():
sumSessionCounter()
return render_template('index.ht... | eddieverity/DojoAssignments | Python/Flask_Fundamentals/counter_bonus1/server.py | server.py | py | 551 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"lin... |
71157828520 | import requests
import logging
logger = logging.getLogger(__name__)
def request_truth_version() -> str | None:
url = "https://starlight.kirara.ca/api/v1/info"
resp = requests.get(url)
resp.raise_for_status()
return resp.json().get("truth_version", None)
def _request_card_img_resource(res_type: str,... | hadisiswanto62/cgutils-py | data_updater/network/kirara.py | kirara.py | py | 727 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
}
] |
15004271512 | #!/usr/bin/env python3
import boto3
import os
AWS_REGION = os.environ.get("AWS_REGION")
EC2_RESOURCE = boto3.resource('ec2', region_name=AWS_REGION)
INSTANCE_ID = os.envion.get("Public_11_101")
instances = EC2_RESOURCE.instances.filter(
InstanceIds=[
INSTANCE_ID,
],
)
for instance in instances:
... | whchoi98/elbha | EC2_ID_status.py | EC2_ID_status.py | py | 387 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "boto3.resource",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.envion.get",
"line_... |
20389565598 | import json
import yaml
string ='''{
"kind": "Service",
"apiVersion": "v1",
"metadata": {
"labels": {}
},
"spec": {
"selector": {},
"ports": [
{
"port": {},
"protocol": {}
}
],
"type": {}
}
}
'''
da... | TirushV/K8s_Manifests_Generator_PYTHON | service-generator.py | service-generator.py | py | 1,244 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "yaml.dump",
"line_number": 51,
"usage_type": "call"
}
] |
40338844919 | """
Author: Bradley Dice (bdice@umich.edu)
Description: The SSAGES Umbrella Sampling example for HOOMD-blue runs a
simulation of a butane molecule. This script, modified from the
LAMMPS example, generates input files for SSAGES and wham.
"""
# This file is used to take a template input json f... | SSAGESproject/SSAGES | Examples/User/Umbrella/HOOMD/umbrella_multiwalker_gen.py | umbrella_multiwalker_gen.py | py | 1,777 | python | en | code | 76 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 51,
"usage_type": "call"
}
] |
13335979244 | import os
import cv2
def initialize(wallpaper, bar, ball, block):
global ball_x, ball_y, bar_x, bar_y, vector_x, vector_y, block_x, block_y, cnt
ball_x = 246
ball_y = 500
bar_x = 214
vector_x = 0
vector_y = 3
block_x = []
block_y = []
cnt = 0
for i in range(20, 406, 77):
for j in range(5, 100, 17):
wa... | ba-san/Breakout-Python | breakout.py | breakout.py | py | 3,361 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imshow",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 95,... |
30497681761 | from wand.image import Image
from wand.drawing import Drawing
from wand.color import Color
import os
import json
import sys
path = sys.argv[1]
raw_images = json.loads(open('results/'+path).read())
j = 0
for raw_image in raw_images:
j = j + 1
draw = Drawing()
img_matrix = []
image = Image(height=8, wi... | sebastiandittrich/Neural-Network-Python | results/make_images.py | make_images.py | py | 1,703 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "wand.drawing.Drawing",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wand.image.Image",
"... |
27334933001 | #!/usr/bin/env python
"""start iLifeSlideshows screensaver"""
import click
import mac_slideshow
MODULE_NAME = "mac_slideshow.start"
PROG_NAME = 'python -m %s' % MODULE_NAME
USAGE = 'python -m %s [path]' % MODULE_NAME
@click.command()
@click.argument('path', required=False)
def _cli(path):
mac_slideshow.start(pat... | soheilbr82/BluegrassWorkingMemory | Python_Engine/Lib/site-packages/mac_slideshow/start.py | start.py | py | 382 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "mac_slideshow.start",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "click.command",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "click.argument",
"line_number": 12,
"usage_type": "call"
}
] |
44838337978 | #!/usr/bin/python3
import sys
import re
import json
import os
def file_to_json(filename):
with open(filename, 'r') as f:
return json.load(f)
def write_json_file(filename, json_object):
with open(filename, 'w') as f:
f.write(json.dumps(json_object, indent=2))
def main():
arguments = sys.argv[1:]
if le... | samstronghammer/spelling-bee-extension | build.py | build.py | py | 1,379 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 25,... |
41242620282 | import discord
import asyncio
from datetime import datetime,timedelta
from discord.utils import get
from discord.ext import commands
from bfunc import roleArray, calculateTreasure, timeConversion
class Apps(commands.Cog):
def __init__ (self, bot):
self.bot = bot
@commands.group()
asyn... | kkv263/friendbot | cogs/apps.py | apps.py | py | 6,721 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.group",
"line_number": 12,
"usage_type": "call"
},
{
"api_n... |
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