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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6877383992 | #from IPython.display
from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
from IPython.display import display
from IPython.core.display import HTML
import json
from pprint import pprint
import os
import time
#import md5
import hashlib
import os
from aliyunsdkcore.profile import region_provider
... | jhs2jhs/AlibabaCloud_ImageSearch_Demo_py2 | myutil.py | myutil.py | py | 8,204 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "base64.b64encode",
"line_num... |
6994057460 | from lib.cuckoo.common.abstracts import Signature
class AndroidGooglePlayDiff(Signature):
name = "android_google_play_diff"
description = "Application Permissions On Google Play Differ (Osint)"
severity = 3
categories = ["android"]
authors = ["Check Point Software Technologies LTD"]
minimum = "... | cuckoosandbox/community | modules/signatures/android/android_google_play_diff.py | android_google_play_diff.py | py | 867 | python | en | code | 312 | github-code | 36 | [
{
"api_name": "lib.cuckoo.common.abstracts.Signature",
"line_number": 3,
"usage_type": "name"
}
] |
41935148033 | import json
import re
from datetime import datetime
from newspaper import Article
i = 0 # id number
file_path="./MK.json"
news_format_json = {}
news_format_json['MK'] = []
for y in range(2020, 2021):
for m in range(1, 2):
for n in range(0, 10001):
url = "https://www.mk.co.kr/news... | hyeonoir/Stocksnet | MK.py | MK.py | py | 1,571 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "newspaper.Article",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datet... |
43062682888 | import json
import scrapy
from scrapy.crawler import CrawlerProcess
def decodeEmail(e):
de = ""
k = int(e[:2], 16)
for i in range(2, len(e) - 1, 2):
de += chr(int(e[i:i + 2], 16) ^ k)
return de
headers = {
'Host': 'ufcstats.com',
'Upgrade-Insecure-Requests': '1',
'User-Agent':... | frankamania/Scrapers | ufcstats.com/ufcstats.com_parse_player_data.py | ufcstats.com_parse_player_data.py | py | 3,749 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scrapy.Spider",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"li... |
9748891676 | from flask import request, Blueprint, abort
from models.alarm import Alarm
from models.response import ResponseJSON
alarm_routes = Blueprint("alarm", __name__, url_prefix="/server/alarm")
@alarm_routes.route("/", methods=["POST"])
def add_alarm():
if not request.json or 'name' not in request.json:
abort... | byUNiXx/kivy_flask_gps | server/src/routes/alarm.py | alarm.py | py | 1,817 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.abort",
... |
71654885545 | import sys
import re
import ranges
def read_cleanup_file(filename, full_overlaps_only):
sum = 0
with open(filename, 'r') as fp:
for line in fp:
toks = re.split(',|-', line.strip())
if len(toks) != 4:
raise Exception('wrong line format. tokens: %s' % toks)
... | dakopoulos/aoc22 | day4/main.py | main.py | py | 1,004 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.split",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ranges.Range",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ranges.Range",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 21,
... |
13491582898 | from datetime import datetime
import csv, os
class File:
def __init__(self, name, date):
self.fr = None
self.fw = None
self.fa = None
self.filename = f"./files/{name}_{date}.csv"
def filename_change(self, filename):
self.filename = filename
def file_write(self, titl... | jjaekkaemi/dgsb_app | file.py | file.py | py | 1,697 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetim... |
43552330299 | import pytest
from rest_framework import status
from tests.factories import JobFactory
@pytest.mark.django_db
def test_selection_create(client, user_access_token):
user, access_token = user_access_token
job_list = JobFactory.create_batch(10)
data = {
"name": "Название подборки",
"items":... | VyacheslavTim/Lesson31 | tests/selection/selection_test.py | selection_test.py | py | 750 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tests.factories.JobFactory.create_batch",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tests.factories.JobFactory",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "rest_framework.status.HTTP_201_CREATED",
"line_number": 26,
"usage_typ... |
36319285982 | from random import randint
from Savedata import Savedata
from entity.Entity import EntInt
from entity.Player import Player
from entity.Enemy.Boss import Boss
from entity.Enemy.Malicious import Malicious
from entity.Enemy.SimpleEnemy import SimpleEnemy
from entity.item.Shield import Shield
from entity.item.CadenceUp imp... | 2doupo/Shooter | Levels/Level.py | Level.py | py | 5,657 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Savedata.Savedata",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pygame.font.Font",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.Font"... |
30167619288 | from itertools import combinations
import random
# If true, extra inforamtion will appear
DEBUG = False
# O(n*log(n))
def greedy(v, w, W):
n = len(w)
profit = [(0, i) for i in range(n)]
x = [False for i in range(n)]
for i in range(n):
profit[i] = (v[i]/w[i],i)
profit.sort(key = lambda profit: prof... | X-V-III/OK2020 | algorithms.py | algorithms.py | py | 3,274 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "itertools.combinations",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "random.random",
... |
41903865929 | import sys
from django.db.models import Avg, Variance
from django.shortcuts import render
from rest_framework import generics
from rest_framework.decorators import api_view, parser_classes
from rest_framework.generics import ListCreateAPIView
from rest_framework.parsers import JSONParser
from rest_framework.response i... | harjiwiga/exchange_rate | exchangerateapp/views.py | views.py | py | 6,788 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.ExchangeRate.objects.all",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.ExchangeRate.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "models.ExchangeRate",
"line_number": 18,
"usage_type": "name"
},
{
... |
7052172062 |
from django.core.context_processors import csrf
from django.shortcuts import render_to_response
from django.http import HttpResponse, HttpResponseRedirect
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.contrib.auth.forms import Authenti... | sawardekar/Django_OTP | otpapp/views.py | views.py | py | 5,575 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "forms.RegistrationForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "twilio.rest.Client",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 35,
"usage_type": "call"
},
{
"api_na... |
5049967399 | import array
import struct
from contextlib import contextmanager
from typing import List, Tuple
from cuda import cudart
from cuda.cudart import cudaError_t
from .mapping import Mapping
def _raise_if_error(error: cudaError_t):
if error != cudaError_t.cudaSuccess:
raise RuntimeError(error)
@contextmanag... | NVIDIA/TensorRT-LLM | tensorrt_llm/_ipc_utils.py | _ipc_utils.py | py | 3,753 | python | en | code | 3,328 | github-code | 36 | [
{
"api_name": "cuda.cudart.cudaError_t",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "cuda.cudart.cudaError_t.cudaSuccess",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cuda.cudart.cudaError_t",
"line_number": 13,
"usage_type": "name"
},
... |
36963468353 | import setuptools
with open("README.md") as fh:
long_description = fh.read()
setuptools.setup(
name="pysqueezebox",
version="0.7.1",
license="apache-2.0",
author="Raj Laud",
author_email="raj.laud@gmail.com",
description="Asynchronous library to control Logitech Media Server",
long_des... | rajlaud/pysqueezebox | setup.py | setup.py | py | 572 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 16,
"usage_type": "call"
}
] |
4705074588 | import functools
import pandas as pd
import numpy as np
import periodictable as pt
from pathlib import Path
from tinydb import TinyDB, Query
from .transform import formula_to_elemental
from ..util.meta import pyrolite_datafolder
from ..util.database import _list_tindyb_unique_values
import logging
logging.getLogger(__... | skerryvore/pyrolite | pyrolite/mineral/mindb.py | mindb.py | py | 4,362 | python | en | code | null | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "util.meta.pyr... |
74059611623 | from configs import ssd300 as cfg
import torch
import torchvision.transforms as transforms
def base_transform(size):
transform = transforms.Compose([
transforms.Resize(size),
transforms.ToTensor()
])
return transform
class BaseTransform:
def __init__(self, size, mean):
self.si... | alswlsghd320/SSD_pytorch | datasets/transforms.py | transforms.py | py | 2,372 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 8,
"usage_type": "call"
},
{
"... |
17796457144 | from __future__ import absolute_import, division, print_function, unicode_literals
import uuid
from contextlib import contextmanager
from pants.backend.codegen.thrift.java.java_thrift_library import JavaThriftLibrary
from pants.backend.codegen.thrift.java.thrift_defaults import ThriftDefaults
from pants.build_graph.t... | fakeNetflix/twitter-repo-pants | tests/python/pants_test/backend/codegen/thrift/java/test_thrift_defaults.py | test_thrift_defaults.py | py | 2,046 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pants_test.test_base.TestBase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pants.backend.codegen.thrift.java.thrift_defaults.ThriftDefaults",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pants.backend.codegen.thrift.java.thrift_defaults.... |
23195728404 | from django.http import HttpResponse
from django.shortcuts import render
from config import settings
#from email.message import EmailMessage
from django.core.mail import EmailMessage
# Create your views here.
def home(request):
return render(request,"index.html")
def send_email(request):
if request.method=='... | utkir-dev/Send-Email | smtp/views.py | views.py | py | 855 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.core.mail.EmailMessage",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.settings.EMAIL_HOST_USER",
"line_number": 22,
"usage_type": "attribute"
},... |
72152970345 | import os, glob, math
import numpy as np
import tensorflow as tf
from PIL import Image
from myutils_tf import bwutils
def save_4ch_to_3ch(path_pixel_shift):
print(path_pixel_shift)
files = glob.glob(os.path.join(path_pixel_shift, '*.npy'))
# print(files)
for idx, file in enumerate(files):
if... | samsungexpert/snu | myinference_srgb2raw_tf.py | myinference_srgb2raw_tf.py | py | 4,612 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "glob.glob",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_number": 1... |
36955645899 | import os
import helper, wiredtiger, wttest
from wtscenario import make_scenarios
# test_prefetch01.py
# Test basic functionality of the prefetch configuration.
class test_prefetch01(wttest.WiredTigerTestCase):
new_dir = 'new.dir'
conn_avail = [
('available', dict(available=True)),
('not-a... | mongodb/mongo | src/third_party/wiredtiger/test/suite/test_prefetch01.py | test_prefetch01.py | py | 2,236 | python | en | code | 24,670 | github-code | 36 | [
{
"api_name": "wttest.WiredTigerTestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "wtscenario.make_scenarios",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "help... |
2796043458 | import argparse
import os
from glob import glob
import json
import jellyfish
from text_extraction import Rectangle, AUTHOR_LABEL, DESCRIPTION_LABEL
import re
import pandas as pd
from tqdm import tqdm
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--input-folder", required=True, help="Folder with the json file")... | paulguhennec/Cini-Project | Process-Images/ocr_evaluation.py | ocr_evaluation.py | py | 4,367 | python | en | code | null | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
... |
5603935400 | from django.urls import path
from . import views
app_name = 'base'
urlpatterns = [
path('home/', views.landing_page, name='home'),
path('school_registered/', views.school_list_page, name='school_registered'),
path('contact_us/', views.contact_us_page, name='contact_us'),
]
| zuri-training/Project-My-Debtors-Team-38 | SDM/base/urls.py | urls.py | py | 293 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
}
] |
29421162955 | import firebase_admin
from firebase_admin import credentials, firestore
import os
from gcloud import storage
from pprint import pprint
from datetime import datetime
import ast
from django import template
INDEX = 1
INDEX_historic = 1
INDEX_cv = 1
# Setup the connexion to the project
cred = credentials.Certificate("./w... | SnipeHR/SnipeHR-github.io | website/query_firestore.py | query_firestore.py | py | 12,180 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "firebase_admin.initialize_app",
"line_number": 17,
"usage_type": "call"... |
26716825256 | """
Support for random optimizers, including the random-greedy path.
"""
import functools
import heapq
import math
import numbers
import time
from collections import deque
from random import choices as random_choices
from random import seed as random_seed
from typing import Any, Dict, Generator, Iterable, List, Option... | dgasmith/opt_einsum | opt_einsum/path_random.py | path_random.py | py | 14,478 | python | en | code | 764 | github-code | 36 | [
{
"api_name": "typing.Optional",
"line_number": 72,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 89,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 90,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_numbe... |
4872107449 | import pyriemann
import mne
from mne.io import read_raw_gdf
import scipy
from scipy import signal
from scipy.signal import butter, filtfilt, sosfiltfilt
import os
import pickle
import sklearn
import seaborn as sns
import matplotlib
import matplotlib as mpl
mpl.use('Qt5Agg') # for using pyplot (pip install... | Kyungho-Won/PyRiemann-with-OpenViBE | train_MI_Riemann.py | train_MI_Riemann.py | py | 4,441 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.signal.butter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"li... |
34301681133 |
import matplotlib
matplotlib.use('TKAgg')
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from dateutil import parser
import numpy as np
import pandas as pd
import datetime
df_ferrara = pd.read_csv('WeatherData/ferrara_270615.csv')
df_milano = pd.read_csv('WeatherData/milano_270615.csv')
df_mantov... | eternity-phoenix/Private | 气象数据分析/气象线性分析.py | 气象线性分析.py | py | 4,432 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"... |
11538129042 | """
Sandbox URL Configuration
"""
from django.conf import settings
from django.conf.urls import url
from django.views.generic.base import TemplateView
from sandbox.views import BasicSampleFormView, ModesSampleFormView
urlpatterns = [
# Dummy homepage to list demo views
url(r'^$', TemplateView.as_view(
... | sveetch/djangocodemirror | sandbox/urls.py | urls.py | py | 947 | python | en | code | 31 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.views.generic.base.TemplateView.as_view",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.views.generic.base.TemplateView",
"line_number": 14,
"usage_ty... |
40126491559 | import json
from typing import Any, Dict, List, Optional, Set
from clairvoyance.entities import GraphQLPrimitive
from clairvoyance.entities.context import log
from clairvoyance.entities.primitives import GraphQLKind
class Schema:
"""Host of the introspection data."""
def __init__(
self,
quer... | nikitastupin/clairvoyance | clairvoyance/graphql.py | graphql.py | py | 12,718 | python | en | code | 785 | github-code | 36 | [
{
"api_name": "typing.Dict",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "clairvoyance.entities.GraphQLPrimitive.STRING",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_nam... |
6215124822 | from rodi import RoDI
import time
robot = RoDI()
def reubicar():
robot.move_stop()
robot.pixel(20,0,0)
robot.move_backward()
time.sleep(0.1)
robot.move_left()
time.sleep(0.5)
robot.move_forward()
time.sleep(0.5)
def ataque():
robot.move(100,100)
while True:
try:
dist... | devpbeat/bootcamp | rob.py | rob.py | py | 921 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "rodi.RoDI",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 14,
... |
9036950970 | from datetime import datetime
from sqlalchemy import Column, String, Integer, Float, DateTime, select, delete
from sqlalchemy.exc import IntegrityError, NoResultFound
from sqlalchemy.ext.asyncio import AsyncSession
from app.services.database import Base
class TokenInfo(Base):
__tablename__ = "TokenInfo"
crea... | treybrooks/TopCryptosAPI | api/app/models.py | models.py | py | 1,243 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "app.services.database.Base",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.DateTime",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "s... |
1522352511 | import cv2, time, pandas
from datetime import datetime
firstFrame = None
statusList = [None, None]
times = []
contourCount = []
frameCount = []
avgContour = []
contCStart = 0 #indicator to start recording contour area
video = cv2.VideoCapture(0, cv2.CAP_DSHOW)
df = pandas.DataFrame(columns=["Start","End"]... | Caseyar95/MotionDetectingWebcam | VideoCapture2.py | VideoCapture2.py | py | 3,169 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_DSHOW",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
... |
5145048204 | from .range_borders import Date, FromInfinity, ToInfinity
from datetime import timedelta
class DateRange:
"""
This class implements date ranges that support open borders,
so it is possible to create date ranges that contain all dates up to
a specific date or all dates from a specific date on. Strict r... | tlie03/OpenDateRange | src/openDateRange/date_range.py | date_range.py | py | 3,833 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "range_borders.FromInfinity",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "range_borders.Date",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "range_borders.ToInfinity",
"line_number": 32,
"usage_type": "call"
},
{
"api_name":... |
6790838721 | from django.db import models
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes.fields import GenericRelation
from model_utils.models import TimeStampedModel
from files.mixins import UploadedFileMixin
from permis... | tomasgarzon/exo-services | service-exo-core/forum/models/post.py | post.py | py | 6,189 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mixins.PostPermissionsMixin",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "mixins.PostMetricMixin",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "mixins.PostStatsMixin",
"line_number": 24,
"usage_type": "name"
},
{
"api_name... |
11538242087 | from PIL import Image, ImageDraw
cella = 75
def rect(x1, y1, x2, y2, col):
dib.polygon([(x1, y1), (x2, y1), (x2, y2), (x1, y2)], col)
def cercle(x, y, col):
dib.ellipse([cella*x + 25, cella*y + 25, cella*x + 49, cella*y + 49], col)
c = int(input())
f = int(input())
img = Image.new('RGB', (cella*c, cella*f... | oicatalana/solucions_oicat_2019 | concurs_classificatori2/pb6.py | pb6.py | py | 1,255 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "PIL.Image.new",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_... |
18180968433 | # Student Virtual Assistant
# Libraries for accessing Google Scholar and scheduling reminders
import webbrowser
import schedule
import time
# Function to access Google Scholar
def search_scholar(query):
webbrowser.open(f"https://scholar.google.com/scholar?q={query}")
# Function to input schedule
def in... | macnya/Student_virtual_assistant | Student_VA.py | Student_VA.py | py | 1,790 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "webbrowser.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "schedule.every",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "schedule.run_pending",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
37241864515 | #!/usr/bin/python3
"""
Run this with:
python3 -m http.server --cgi
"""
import cgitb
cgitb.enable(format="text")
from helper import get_input, json
# user_input = get_input()
test_data = {
"firstName": "John",
"lastName": "Smith",
"age": 27
}
# Will give you JSON output in the console
print(json.dumps(tes... | Alexico1969/Points-Sandbox | cgi-bin/api.py | api.py | py | 415 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cgitb.enable",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "helper.json.dumps",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "helper.json",
"line_number": 23,
"usage_type": "name"
}
] |
72084597543 | from setuptools import setup, find_packages
with open("requirements.txt") as f:
content = f.readlines()
requirements = [x.strip() for x in content if "git+" not in x]
setup(name='chord-cleaning',
description='creating a set of standardized chords from data',
install_requires=requirements,
packag... | emilycardwell/chord-cleaning | setup.py | setup.py | py | 341 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 10,
"usage_type": "call"
}
] |
8265346084 | import csv
import os
import sys
from typing import List
from termcolor import colored
from tqdm import tqdm
from .binaryds import BinaryDs
MINIMUM_FEATURES: int = 32
csv.field_size_limit(sys.maxsize)
def run_preprocess(input_dir: List[str], category: int, output_dir: str,
openc: bool, features: ... | inoueke-n/optimization-detector | src/preprocess.py | preprocess.py | py | 7,391 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "csv.field_size_limit",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
... |
41133433788 | from cryptography.fernet import Fernet
import os
from pathlib import Path
default_path = Path("/home/Diode/Dicot/VisionIOT/main")
if not os.path.exists(default_path):
os.makedirs(default_path)
filen = os.path.join(default_path, "app.dat")
open(filen, 'w').close()
forread = open(filen)
content = fo... | imdiode/PythonExper | home4.py | home4.py | py | 502 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number"... |
22209534047 | # -*- coding: utf-8 -*-
"""
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 3 of the License,
or (at your option) any later version.
This program is distributed in... | terual/sbcc | module/functions.py | functions.py | py | 2,415 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "logging.error",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.devnull",
"line_number": 57,
"usage_type": "argument"
},
{
"api_name": "subprocess.Popen",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "logging.critical",
... |
32033182710 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
"""
@author:ai
@file:rootNet.py
@time:2020/06/01
"""
import traceback
import warnings
from collections import defaultdict
import arrow
import pandas as pd
from configs.riskConfig import FUTURE_ENDS
from tradingSystem import Order
from configs.Database import mysql, Databas... | Joey2634/MultiFactorFramework | tradingSystem/CATS/catsserverapi/UseAITrading/rootNet.py | rootNet.py | py | 11,539 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "arrow.now",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "utils.Date.getTradeSectionDates",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "tradingSystem.rootNet.RootNetTrading.RootNetTrading",
"line_number": 36,
"usage_type": "call"
... |
27049180203 | from datetime import datetime
from django.core.management.base import BaseCommand
from django.utils.timezone import now
from django.conf import settings
from django.core.files.uploadedfile import SimpleUploadedFile
from django.utils.translation import gettext as _
from imap_tools import MailBox, AND
from filebrowser.... | andywar65/project_repo | blog/management/commands/fetch_article_emails.py | fetch_article_emails.py | py | 2,479 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "django.utils.translation.gettext",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.gettext",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.gettext",
"line_number": 20,
"usage_type": "ca... |
13329932727 | import json
from channels.generic.websocket import WebsocketConsumer
from django.contrib.auth.models import User
from gestion_admin.models import Article, Historique
class ChatConsumer(WebsocketConsumer):
def connect(self):
self.user = User.objects.get(username=self.scope["user"])
self.historiqu... | meryem1994/chatbot-project | user/consumers.py | consumers.py | py | 1,526 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "channels.generic.websocket.WebsocketConsumer",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_numbe... |
31739800389 | from multiprocessing import Process
import time
class MyProcess(Process):
def __init__(self,name):
super().__init__()
self.name=name
def run(self):
print("%s is running" % self.name)
time.sleep(1)
print("%s is done" % self.name)
if __name__=="__main__"... | bigcpp110/python_learning | 并发编程/process_class.py | process_class.py | py | 400 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "multiprocessing.Process",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
}
] |
75118097702 | #!/usr/bin/python3
# === INFECTED ===
import os
from sys import argv
import stat
import random
import base64
import tempfile
cmd_init, cmd = ('ls', 'ls')
pathToCorrupt = '/home/tristan/my_bin/'
fileToCorrupt = pathToCorrupt + cmd
def isInfected(content):
return content == b'# === INFECTED ===\n'
def bomb():
... | GLMF/GLMF201 | Libs_et_Modules/easy_install_v2.py | easy_install_v2.py | py | 2,566 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "os.remove",
"line_number": 59,... |
4000738437 | import argparse
import math
from pathlib import Path
import random
import sys
import numpy as np
import pandas as pd
TRAIN_POOL_FILEPATH = "../../outputs/data_generation/train_pool.tsv"
TRAIN_FILEPATH_FS = "../../outputs/data_generation/{}/run_{}/round_{}/train.tsv"
TO_PREDICT_FILEPATH_FS = "../../outputs/data_gener... | IBPA/SemiAutomatedFoodKBC | src/data_generation/prepare_training_data.py | prepare_training_data.py | py | 8,371 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "argparse.Namespace",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "pandas.re... |
35396554268 | from __future__ import (nested_scopes, generators, division, absolute_import, with_statement,
print_function, unicode_literals)
from abc import abstractmethod, abstractproperty
from contextlib import contextmanager
import os
import tempfile
from twitter.common.collections import maybe_list
fro... | fakeNetflix/square-repo-pants | src/python/pants/backend/jvm/tasks/jar_task.py | jar_task.py | py | 12,978 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "twitter.common.lang.AbstractClass",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "tempfile.mkstemp",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": ... |
22016755038 | import pandas as pd
import numpy as np
from scipy.io import savemat
import os
def csv_to_spm_vectors(csv_path):
for root, dirs, files in os.walk(csv_path):
for name in files:
if name.endswith(".csv"):
csv_file = os.path.join(root, name)
df = pd.read_csv(csv_fil... | paradeisios/old_thesis_code | PPI_analysis/utils/csv_to_spm_vectors.py | csv_to_spm_vectors.py | py | 1,283 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.walk",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number":... |
1409824498 | import threading
import time
from subprocess import Popen, PIPE, CalledProcessError
from redis import Redis
from rq import Queue
import sys
import os
import shutil
# Connect to Redis
redis_conn = Redis(host='localhost', port=6379, db=0)
# Create an RQ queue
queue = Queue(connection=redis_conn)
def read_output(pipe, ... | ASparkOfFire/fastapi-rq-example | job.py | job.py | py | 1,772 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "redis.Redis",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rq.Queue",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.stderr.flush",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number":... |
23164271375 | from PIL import Image, ImageOps
import cv2
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision
import torchvision.transforms as transforms
import time
import pandas as pd
# import json
from IPython.display import clear_output
torch.set_pri... | jain-aniket/attentiveness-flask | testtorchloading.py | testtorchloading.py | py | 1,388 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.set_printoptions",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.set_grad_enabled",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "c... |
74431864103 | from fastapi import FastAPI
import requests
import uvicorn
app = FastAPI()
@app.get("/")
async def get_product():
req=requests.get("https://world.openfoodfacts.org/api/v0/product/3033491270864.json")
if req.status_code==200:
res=req.json()
return(res)
if __name__=='__main__':
uvicorn.run(a... | apollineguerineau/TP5 | main.py | main.py | py | 352 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "uvicorn.run",
"line_number": 14,
"usage_type": "call"
}
] |
6369818660 | '''
This script compiles the requirements for the bot and runs it on a loop
It should also contain the functions of the bot
'''
from config import *
from core import *
import telegram
import datetime
import time
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, \
ConversationHandler, CallbackQ... | ollayf/leobot | main.py | main.py | py | 6,203 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "config.read",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "utils.d... |
30922250366 | #!/usr/bin/env python
# from __future__ import division
import numpy as np
import message_filters
from matplotlib import pyplot as plt
import imutils
from time import time, sleep
# import os
from sensor_msgs.msg import Image
from geometry_msgs.msg import Point, Pose, Quaternion, Vector3
from cv_bridge import CvBridge,... | tkurtiak/Project4b | matchfeat_old.py | matchfeat_old.py | py | 12,217 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "sys.path.remove",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"li... |
74105436582 | import sqlite3
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_extraction.text import TfidfVectorizer
from datetime import datetime as dt
from sklearn.externals import joblib
start_time = dt.now()
# data loading
conn = sqlite3.connect("textarray.db")
cur = conn.cursor()
query = '''SELECT * fro... | kirilenkobm/ML_examples | RandomForestClf.py | RandomForestClf.py | py | 1,335 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.external... |
25617944185 | import numpy as np
from bs4 import BeautifulSoup
import pandas as pd
import requests
import time
import json
from tomlkit import array
URL = "https://covid19.riau.go.id/pantauan_data_kasus"
HEADERS = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389... | mfalfafa/scrape-covid19-data-riau | scraper.py | scraper.py | py | 1,975 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numb... |
846869458 | import argparse
import json
import os
from datetime import datetime
from statistics import mean
import chainer
import chainerrl
import numpy as np
from chainerrl.wrappers import CastObservationToFloat32, ScaleReward
from estimator import RecoNet, ThreatEstimator
from q_func import RPDQN, QFunction, RPQFunction
from u... | pfnet-research/rp-safe-rl | circuit/run.py | run.py | py | 6,662 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "chainerrl.misc.set_random_seed",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "chainerrl.misc",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_na... |
44396105133 | import numpy as np
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
import tensorflow_datasets as tfds
import os
if __name__ == '__main__':
tfds.disable_progress_bar()
train_ds, validation_ds, test_ds = tfds.load(
"cats_vs_dogs",
data_dir=os.path.expandus... | jk983294/morph | book/tensorflow/models/transfer.py | transfer.py | py | 3,632 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow_datasets.disable_progress_bar",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow_datasets.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 12,
"usage_type": "call"
},
{
... |
30838346418 | from flask import Blueprint, current_app, request, make_response, jsonify
from ..models.User import User
from flask_jwt_extended import (
create_access_token,
create_refresh_token,
jwt_required,
)
import traceback
auth_bp = Blueprint('auth_bp', __name__)
# registrater user
@auth_bp.route('/user/registrat... | conradsuuna/uac-computer-competency | app/controllers/users.py | users.py | py | 4,056 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.is_json",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flask.reques... |
4289870302 | # consul_client.py
import consul
import socket
import time
import threading
import json
import re
import random
from flask import Flask
from typing import Dict, List, Union
from dzmicro.utils import compare_dicts
class WatchKVThread(threading.Thread):
def __init__(self, uuid: str, is_platform: bool) -> None:
... | dzming-git/DzMicro | dzmicro/utils/network/consul_client.py | consul_client.py | py | 9,967 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "threading.Thread",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "dzmicro.utils.singleton_server_manager.get_server_unique_info",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "dzmicro.utils.singleton_server_manager",
"line_number": 2... |
20324309262 | # -*- coding: utf-8 -*-
from django import forms
from bson.objectid import ObjectId
#from lib import get_db
class rich_form(forms.Form):
def as_read(self):
rt=''
for k,v in self.cleaned_data.iteritems():
rt+='<tr><td>'
rt+=str(self.field[k].label)
rt+='</td><td>'
if type(v)==list:
for... | raynardj/terminus | major/share/upgrade/forms.py | forms.py | py | 1,011 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.Form",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
}
] |
40097713775 | import flask
import os
import zipfile
from docx.api import Document
from flask import request, jsonify
from flask_s3 import *
from io import BytesIO
from werkzeug.utils import secure_filename
import boto3
from s3_credential import *
import pypandoc
from bs4 import BeautifulSoup
from datetime import datetime
import json... | ActiKnow/docx-to-html-json | index.py | index.py | py | 9,727 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_numb... |
1154715752 | import os
from flask import Flask
from src.models import migrate, db
from src.command import data_load_command
from src.api import api
config_variable_name = 'FLASK_CONFIG_PATH'
default_config_path = os.path.join(os.path.dirname(__file__), 'config/local.py')
os.environ.setdefault(config_variable_name, default_confi... | shano/document_keyword_analysis | app.py | app.py | py | 849 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.setdefault",
... |
2063174381 | # -*- coding: utf-8 -*-
"""
@title: test_convert_spectra.py
@description: Example Python script to test the spectra data converter and to test reloading the converted spectra data
@author: chrisarcadia
@created: 2018/10/26
"""
import Bruker
import matplotlib.pyplot as pyplot
import h5py
import numpy
# C... | scale-lab/AcidBaseNetworks | simulations/chemcpupy/automation/Bruker/test_convert_spectra.py | test_convert_spectra.py | py | 1,382 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Bruker.get_measurement_settings",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Bruker.convert_settings",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "Bruker.convert_data_spectra",
"line_number": 21,
"usage_type": "call"
},
{
... |
71578947943 | # !/usr/bin/env python
import vtk
def get_program_parameters():
import argparse
description = 'Highlighting a selected object with a silhouette.'
epilogue = '''
Click on the object to highlight it.
The selected object is highlighted with a silhouette.
'''
parser = argparse.ArgumentParser(descript... | lorensen/VTKExamples | src/Python/Picking/HighlightWithSilhouette.py | HighlightWithSilhouette.py | py | 4,453 | python | en | code | 319 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.RawTextHelpFormatter",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "vtk.vtkInteractorStyleTrackballCamera",
"line_number": 21,
"usage_type": "attr... |
8604753979 | import telebot
from telebot import types
import config
import values
import sqlite3
# Registration BOT using TOKEN
bot = telebot.TeleBot(config.TOKEN)
# Registration DB
db = sqlite3.connect('DB/catalog.db', check_same_thread=False)
sql = db.cursor()
# For reading USER's HEIGHT
def height(message, word):
weight ... | Abrahamlink/body-bot | bot.py | bot.py | py | 10,450 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "telebot.TeleBot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.TOKEN",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "values.description",
... |
37775727462 | # https://leetcode-cn.com/problems/reverse-string/
# 编写一个函数，其作用是将输入的字符串反转过来。输入字符串以字符数组 char[] 的形式给出。
#
# 不要给另外的数组分配额外的空间，你必须原地修改输入数组、使用 O(1) 的额外空间解决这一问题。
#
# 你可以假设数组中的所有字符都是 ASCII 码表中的可打印字符。
#
# 示例 1：
#
# 输入：["h","e","l","l","o"]
# 输出：["o","l","l","e","h"]
# 示例 2：
#
# 输入：["H","a","n","n","a","h"]
# 输出：["h","a","n","n",... | cookie-rabbit/LeetCode_practice | 专题/入门/字符串/344 反转字符串/1.py | 1.py | py | 1,403 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 37,
"usage_type": "name"
}
] |
31833081682 | import pytest
from bs4 import BeautifulSoup
import nerdtracker_client.constants.stats as ntc_stats
from nerdtracker_client.scraper import (
create_scraper,
parse_tracker_html,
retrieve_page_from_tracker,
retrieve_stats,
retrieve_stats_multiple,
)
class TestScraper:
@pytest.mark.slow
@pyte... | cesaregarza/Nerdtracker_Client | nerdtracker_client/tests/test_scraper.py | test_scraper.py | py | 2,972 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nerdtracker_client.scraper.create_scraper",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nerdtracker_client.scraper.retrieve_page_from_tracker",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 15,
"usage_t... |
36532411991 | #The code base on https://github.com/zergtant/pytorch-handbook
import torch # pytorch 实现
import torch.nn as nn
import numpy as np #处理矩阵运算
'''
1 logistic回归会在线性回归后再加一层logistic函数的调用，主要
用于二分类预测
2 使用UCI German Credit 数据集
german.data-numeric 是已经使用numpy 处理好的数值化数据，
可以直接numpy 调用
'''
# 第一步：读取数据
data=np.loadtxt("ge... | BrandonHoo/Deep-Learning-Practice-Project | Logistic_Regression_practice.py | Logistic_Regression_practice.py | py | 2,774 | python | zh | code | 1 | github-code | 36 | [
{
"api_name": "numpy.loadtxt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random.shuffle",
"line_n... |
14007726581 | import torch
import torch.nn as nn
import os
from torchvision import datasets, transforms
from torch.utils.data import DataLoader, Dataset
import wandb
from PIL import Image
import numpy as np
from tqdm import tqdm
from torch.optim.lr_scheduler import ExponentialLR
class Encoder(nn.Module):
def __init__(self, ... | s183920/02582_Computational_Data_Analysis_Case2 | autoencoder.py | autoencoder.py | py | 6,011 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
25127011115 | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
****************************************
* coded by Lululla & PCD *
* skin by MMark *
* 26/03/2023 *
* Skin by MMark *
****************************************
# --------------------#
# I... | Belfagor2005/xxxplugin | usr/lib/enigma2/python/Plugins/Extensions/xxxplugin/Sites/freearhey.py | freearhey.py | py | 5,713 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_unverified_context",
"line_number": 37,
"usage_type": "call"
},
{
"api_na... |
40290054155 | from flask import Flask, request, jsonify
from flask_cors import CORS
import re
from escpos.printer import Network
import base64
import os
app = Flask(__name__)
CORS(app)
@app.route('/text/<addr>', methods=['GET','POST'])
def print_text(addr):
data, printer, message = setup_for_command(request, addr)
if me... | Christophersuazop/printer_proxy | main.py | main.py | py | 3,827 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "flask.jsonify",
"lin... |
71504143463 | from django.shortcuts import render
from django.http import HttpResponse
from zipfile import ZipFile, is_zipfile, Path
import os
from outlook_msg import Message
import pandas as pd
import numpy as np
import re
import nltk
import spacy
from string import punctuation
import extract_msg
nltk.download('punkt')
from nltk.t... | TheThinker01/AiEmailClassifier | server/views.py | views.py | py | 24,603 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "nltk.download",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
... |
75216777705 | from joblib import load
pipeline1 = load('assets/xgb1.joblib')
pipeline2 = load('assets/xgb2.joblib')
# Imports from 3rd party libraries
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from xgboost imp... | tigju/Amazon-Deforestation-Prediction-App | pages/predictions.py | predictions.py | py | 4,861 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "joblib.load",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "dash_html_components.Div",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "dash_core_components.M... |
31113872518 | """
The main script that serves as the entry-point for all kinds of training experiments.
"""
from __future__ import annotations
import logging
from functools import partial
from typing import TYPE_CHECKING, Any, Callable, Mapping, Optional, Sequence, Tuple, Union
import torch
from al.core.data.collators import Joi... | saifullah3396/doc_al | src/al/core/training/vaal_trainer.py | vaal_trainer.py | py | 15,573 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "logging.basicConfig",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "al.core.tr... |
35396368561 | #!/usr/bin/env python3
# coding=utf-8
import xml.dom.minidom as xmldom
import os
class Appconfig(object):
AppCode=""
#AppType=""
Icon=""
Version=""
PathType=""
Path=""
Arguments=""
AppStartupType=""
def __init__(self,appCode,icon,version,pathType,path,arguments,appStartupTy... | LeeZhang1979/UniTools | conf/AppConfigure.py | AppConfigure.py | py | 1,538 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.isfile",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "xml.dom.minidom.parse",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom",
... |
2343066126 | import pygame
import Config
import random
import math
import entities
from entity import Entity
class Meteor(Entity):
def __init__(self, img):
self.x = random.randint(0, Config.WIDTH)
self.y = 0
self.size = random.randint(20, 65)
self.speed = random.randint(3, 5)
... | Krakozaybr/Meteorro | cooperate/meteor.py | meteor.py | py | 3,997 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "entity.Entity",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Config.WIDTH",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"l... |
42822681247 | from math import dist, inf
from typing import Optional
from random import random, choice
from aasd.vehicle import Vehicle, VehicleType
class Environment:
def __init__(self, width: int = 1280, height: int = 720, object_size: int = 10, chance_to_crash: float = 0.001):
self.width = width
self.height... | Pruxon/AASD | aasd/environment.py | environment.py | py | 2,733 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "aasd.vehicle.Vehicle",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "aasd.vehicle.Vehicle",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "aasd.vehicle.Vehicle",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "aasd.v... |
36173205593 | import random
import json
import znc
class slapanswer(znc.Module):
description = 'Answer slaps'
module_types = [znc.CModInfo.NetworkModule]
def OnLoad(self, args, message):
self.default_answers = [
'"Be kind whenever possible. It is always possible." - Dalai Lama',
'"Where... | Thor77/SlapAnswer | slapanswer.py | slapanswer.py | py | 3,958 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "znc.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "znc.CModInfo",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_num... |
32365176970 | from __future__ import with_statement
import os
import sys
try:
import gevent
import gevent.monkey
gevent.monkey.patch_all(dns=gevent.version_info[0] >= 1)
except ImportError:
gevent = None
print >>sys.stderr, 'warning: gevent not found, using threading instead'
import errno
import socket
import t... | hadidonk/hxsocks | hxsserver.py | hxsserver.py | py | 23,258 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gevent.monkey.patch_all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gevent.monkey",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "gevent.version_info",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.... |
23563814386 | import keyboard
import time
import PySimpleGUI as sg
from threading import Thread,Event
from queue import Queue
from os.path import join,exists,pardir
import webbrowser
import logging
from urllib import request
from urllib.parse import quote
from setting import Setting
setting = Setting()
if setting.m... | kaktuswald/inf-notebook | main.pyw | main.pyw | pyw | 34,382 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "setting.Setting",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "setting.manage",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNIN... |
32402600311 | import json
from falcon.status_codes import HTTP_404, HTTP_400
from marshmallow import ValidationError
from utils.HTTPError import HTTPError
class Serializer:
"""
This middleware gives us a possibility to validate data from request body.
It also allows to set a separate schema (validator) for every HTTP ... | NomanGul/kanda-fullstack-test | server/middlewares/serializer.py | serializer.py | py | 1,084 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.HTTPError.HTTPError",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "falcon.status_codes.HTTP_404",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "mars... |
12829799852 | import pygame as pg
WIDTH = 700
HEIGHT = 500
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
GREEN = (0, 255,0)
BLUE = (0, 0, 255)
up_key = False
down_key = False
left_key = False
right_key = False
CAR_WIDTH = 30
CAR_HEIGHT = 30
car_x = WIDTH / 2
car_y = HEIGHT / 2
car_x_vel = 0
car_y_vel = 0
max_vel... | oscarsangwin/pygame-platformer | car01.py | car01.py | py | 2,614 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "pygame.dis... |
17381398214 | """
Implementation of the human and machine policies in the paper
"""
from copy import copy
import random
import numpy as np
import math
import torch
from collections import defaultdict
from environments.env import Environment, GridWorld
from networks.networks import ActorNet
class Agent:
"""
Agent supercla... | ElenStr/human-machine-switching | agent/agents.py | agents.py | py | 14,470 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "networks.networks.ActorNet",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "torch.nn.utils.clip_grad_norm_",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": ... |
11424826236 | import logging
from edera.exceptions import ExcusableError
from edera.exceptions import ExcusableWorkflowExecutionError
from edera.exceptions import WorkflowExecutionError
from edera.queue import Queue
from edera.routine import deferrable
from edera.routine import routine
from edera.workflow.executor import WorkflowEx... | thoughteer/edera | edera/workflow/executors/basic.py | basic.py | py | 2,027 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "edera.workflow.executor.WorkflowExecutor",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "edera.queue.Queue",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 36,
"usage_type": "call"
},
{
"api_... |
3496632276 | # importing pycairo
import cairo
# creating a SVG surface
# here geek95 is file name & 700, 700 is dimension
with cairo.SVGSurface("geek95.svg", 700, 700) as surface:
# creating a cairo context object for SVG surface
# using Context method
context = cairo.Context(surface)
# move the context to x,y position
... | Malgetany/ch2-part2 | main.py | main.py | py | 3,947 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cairo.SVGSurface",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cairo.Context",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_numb... |
17523274197 | #!/usr/bin/env python
"""
author: Jun Ding
date: 2020-07-06
function: plot the expression of input gene
copy and modification of this code is allowed for academic purposes.
Please don NOT remove this author statement under any condition.
"""
import sys,os,pdb,argparse
import anndata
import scanpy as sc
def plo... | phoenixding/scdiff2 | utils/plotGene.py | plotGene.py | py | 1,080 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "anndata.read_h5ad",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scanpy.pl.umap",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scanpy.pl",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentPars... |
4500680225 | import abc
import os
import xml.etree.ElementTree as ET
from abc import ABC
from enum import Enum
from typing import List
from xbrl import XbrlParseException, LinkbaseNotFoundException
from xbrl.cache import HttpCache
from xbrl.helper.uri_helper import resolve_uri
LINK_NS: str = "{http://www.xbrl.org/2003/linkbase}"
... | manusimidt/py-xbrl | xbrl/linkbase.py | linkbase.py | py | 27,220 | python | en | code | 78 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 90,
"usage_type": "attribute"
},
{
"api_name": "abc.ABC",
"line_number"... |
74816953384 | from django.urls import include, path
from rest_framework import routers
from . import views
# def router robi za nas widoki generowane przez nasz viewset; tworzy do nich ścieżki
router = routers.DefaultRouter()
router.register('categories', views.CategoryViewSet)
router.register('rooms', views.RoomViewSet)
router.reg... | BParaszczak/plant_manager | plants/urls.py | urls.py | py | 413 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_na... |
15972612873 | #!/usr/bin/env python3
__doc__ = """Process a dump from the 'Charge Activity Report by Employee
- Project Detail Information' report from Webwise. We only need the
table view because we simply want to extract the fields. For this to
work, we _must_ have the table headers. Those are used as the keys in
the YAML forma... | kprussing/resume | projects-import.py | projects-import.py | py | 6,217 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.splitext",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 116,
"usage_type": "attribute"
},
{
"api_name": "os.sep",
"line_number": 116,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser"... |
37738312088 | # -*- coding: utf-8 -*-
from collections import defaultdict
import struct
from sqlalchemy.sql.expression import text
from ambry.orm.dataset import Dataset
from ambry.library.search_backends.base import BaseDatasetIndex, BasePartitionIndex,\
BaseIdentifierIndex, BaseSearchBackend, IdentifierSearchResult,\
Da... | CivicSpleen/ambry | ambry/library/search_backends/sqlite_backend.py | sqlite_backend.py | py | 20,150 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "ambry.util.get_logger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ambry.library.search_backends.base.BaseSearchBackend",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "ambry.library.search_backends.base.BaseDatasetIndex",
"line_number... |
6240147202 | #
# SAKARYA ÜNİVERSİTESİ BİLGİSAYAR VE BİLİŞİM BİLİMLERİ FAKÜLTESİ
# BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ
# BİLGİSAYAR MÜHENDİSLİĞİ TASARIMI - 2. ÖĞRETİM P GRUBU
# EDA NUR KARAMUK - G181210061 & ELİF RUMEYSA AYDIN - G181210031
#
#
from PyQt5 import QtCore, QtGui, Q... | EdaNurKaramuk/PlakaTanimaSistemi | CarPlateRecognitionSystem.py | CarPlateRecognitionSystem.py | py | 9,785 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "os.system",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"line_number"... |
37724851331 | # -*- coding: utf-8 -*-
import numpy as np
import math
import matplotlib.pyplot as plt
def option_pricing(s0, k, t, sigma, r, cp, american=False, n = 100):
#cijena call opcije u T CT = max(ST-K, 0)
#cijena put opcije u T PT = max(K-ST, 0)
#s0 - pocetna cijena
#k - strajk cijena
#t - datum dos... | aldinabu/ou | option_pricing_dp.py | option_pricing_dp.py | py | 2,225 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "math.exp",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 29,
"us... |
35015230469 | import importlib
from sklearn.cluster import SpectralClustering
import clusters_optimizer_base as co
importlib.reload(co)
class SpectralClusterOptimizer(co.ClustersOptimizerBase):
# 100 initializations
def optimize(self, data):
obj = SpectralClustering(
n_clusters=self.num_cl... | morganstanley/MSML | papers/Clustering_via_Dual_Divergence_Maximization/spectral_clusters_optimizer.py | spectral_clusters_optimizer.py | py | 494 | python | en | code | 12 | github-code | 36 | [
{
"api_name": "importlib.reload",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "clusters_optimizer_base.ClustersOptimizerBase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sklearn.cluster.SpectralClustering",
"line_number": 12,
"usage_type": "... |
24730881807 | from sklearn import tree
import numpy as np
X = np.array([[-1,-1],[-2,-1],[1,1],[2,1]])
y = np.array([1,1,2,2])
#
# X = [[0, 0], [1, 1]]
# Y = [0, 1]
clf = tree.DecisionTreeClassifier()
# clf = clf.fit(X, y)
clf = clf.fit(X, y)
print(clf)
print(clf.predict([[-0.8,-1]]))
print(clf.predict([[5,6]])) | 11city/tianchi | algorithm/DecisionTree/DecisionTreeTest.py | DecisionTreeTest.py | py | 304 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.tre... |
506670450 | """
Merge, combine and mosaic
"""
def rsts_to_mosaic(inRasterS, o, api="grass", fformat='.tif', method=None):
"""
Create Mosaic of Raster
"""
if api == 'pygrass':
"""
The GRASS program r.patch allows the user to build a new raster map the size
and resolution of the current regi... | jasp382/glass | glass/rst/mos.py | mos.py | py | 6,840 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "grass.pygrass.modules.Module",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "glass.pys.execmd",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "glass.pys.oss.lst_ff",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "ra... |
17602594229 | from functools import wraps
import json
import os
import requests
import boto3
from sanic import Sanic, response
from sanic.exceptions import NotFound
from sanic.log import LOGGING_CONFIG_DEFAULTS
from sanic_cors import CORS
from sanic_limiter import Limiter, get_remote_address, RateLimitExceeded
from botocore.excepti... | MichaelHDesigns/erebor | erebor/erebor.py | erebor.py | py | 4,559 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sanic.Sanic",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "erebor.logs.logging_config",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "sanic.log.LOGGING_CO... |
35132638275 | import numpy as np
import gin.tf
@gin.configurable(whitelist=["use_entities_order"])
class ExistingEdgesFilter(object):
def __init__(self, entities_count, graph_edges, use_entities_order=True):
self.entities_count = entities_count
self.set_of_graph_edges = set(graph_edges)
self.use_entiti... | Dawidsoni/relation-embeddings | src/optimization/existing_edges_filter.py | existing_edges_filter.py | py | 1,625 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.tile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.where",
"line_numb... |
10501857645 | import os
from aiohttp import Fingerprint
import cv2
from matplotlib import pyplot as plt
from Matcher import *
from random import *
# Authentication class will serve as an authenticator for one person
class Authentication:
def __init__(self, probe_img, data_path, folder, threshold=0.6):
self.probe_img = ... | Dorukozar/Fingerprint-Matcher-and-Evaluation | Authentication.py | Authentication.py | py | 3,865 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
6562172415 | from django.shortcuts import render,redirect
from .models import *
from django.contrib.auth import login, authenticate, logout
from django.contrib import messages
from django.db.models import Q
# Create your views here.
def login_page(request):
return render(request, "index.html")
def init_login(request):
us... | Ennyola/Search-System | searchSystem/searchApp/views.py | views.py | py | 2,161 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 17,
"usage_type": "call"
},
{
... |
43160456317 | import numpy as np
import matplotlib.pyplot as plt
def sigmoid(x):
return 1 / (1 + np.exp(-x))
# 01. 기본 sigmoid
x = np.arange(-5., 5., 0.1)
y = sigmoid(x)
plt.figure(0)
plt.plot(x, y, 'g')
plt.plot([0,0],[1.,0.], ':')
plt.title('sigmoid func')
# plt.show()
# 02.sigmoid (ax)
# a가 클수록 step function에 가까워진다.
y1 = s... | minssoj/Learning_Pytorch | day2/01.sigmoidFunctionEX.py | 01.sigmoidFunctionEX.py | py | 741 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.exp",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.