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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
34617553856 | from datetime import datetime
from threading import Lock
from typing import List, Optional
import yaml
import os
from pathlib import Path
import discord
from discord.ext import commands
from Models.ClanMember import ClanMember
from Exceptions.ClanMemberNotFoundError import ClanMemberNotFoundError
from Models.LoadConf... | Teara-exe/clanBattleBot | Models/Context.py | Context.py | py | 5,663 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "threading.Lock",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typ... |
39865445271 | import sys
import pandas as pd
import re
import pickle
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.tokenize import word_tokenize
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.ensemble... | Vikram25/Udacity-Data-Science | Disaster Response Project/models/train_classifier.py | train_classifier.py | py | 4,800 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "nltk.download",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql_table",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "re.finda... |
20719397092 | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 2 17:20:33 2017
@author: shirmanov
"""
import cv2
img_descs = []
img = cv2.imread('images/1.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
sift = cv2.xfeatures2d.SIFT_create()
kp, desc = sift.detectAndCompute(gray, None)
# img_keypoints[img_path] = kp
img_descs.ap... | vladimir-shirmanov/numbers | testfile.py | testfile.py | py | 549 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.xfeatures2d.SIFT_... |
36706863327 |
import cv2
import pytesseract
# Load the image and convert it to grayscale
image = cv2.imread('class1.png')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Apply image pre-processing
threshold = 150
gray = cv2.threshold(gray, threshold, 255, cv2.THRESH_BINARY)[1]
# Extract text using Pytesseract
text = pytesserac... | CyrineAou/OCR_Python | main.py | main.py | py | 384 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"lin... |
39817202904 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @author Vladimir S. FONOV
# @date 12/10/2014
#
# Run fusion segmentation
from __future__ import print_function
import shutil
import os
import sys
import csv
import traceback
import argparse
import json
import tempfile
import re
import copy
import random
import yaml
... | NIST-MNI/nist_mni_pipelines | ipl/cli/fusion_segment.py | fusion_segment.py | py | 4,249 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "yaml.load",
"line_number": 122,
"usage_type": "call"
},
{
"ap... |
73367356201 | from flask import Blueprint, render_template, request, url_for, redirect
from models.manufacturer import Manufacturer
import repositories.manufacturer_repository as manufacturer_repository
manufacturers_blueprint = Blueprint("manufacturers", __name__)
# RESTful CRUD Routes
# INDEX — GET '/manufacturers'
# NEW ... | bsmith/StockReady | controllers/manufacturers_controller.py | manufacturers_controller.py | py | 3,291 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "repositories.manufacturer_repository.select_all",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "repositories.manufacturer_repository",
"line_number": 19,
"usage_type": "n... |
27046758600 | import dash
from dash import dcc
from dash import callback
from dash import html
from dash import dash_table as dt
from dash.dependencies import Input, Output, State
import pandas as pd
import numpy as np
import plotly.express as px
import sqlalchemy
from datetime import date
import re
import requests
from datetime i... | wang-yangyi/DSA3101-Data-Science-in-Practice | front-end/delivery/deliverypages/deliveryhomepage.py | deliveryhomepage.py | py | 11,227 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "requests... |
5945742320 | """
Author: Seph Pace
Email: sephpace@gmail.com
"""
import torch
from torch.nn import BCELoss
from torch.optim import Adam
from torch.utils.data import DataLoader
from dataset import TextSimilarityDataset
from models import SemanticSimilarity
from settings import EPOCHS, LEARNING_RATE, SHUFFLE, STATE_SAVE_PATH
def... | sephpace/semantic-similarity | train.py | train.py | py | 1,907 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dataset.TextSimilarityDataset",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "settings.SHUFFLE",
"line_number": 23,
"usage_type": "name"
},
{
"api_na... |
70911647720 | """
CLI output.
"""
import platform
import subprocess
import sys
import bpy
DEBUG = 36
INFO = 37
WARN = 35
ERROR = 31
if platform.system() == "Windows":
HAS_COLOR_SUPPORT = platform.release() == "10"
if HAS_COLOR_SUPPORT:
# Enable ANSI codes. Otherwise, the ANSI sequences might not be
# eval... | armory3d/armory | blender/arm/log.py | log.py | py | 2,400 | python | en | code | 2,916 | github-code | 18 | [
{
"api_name": "platform.system",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "platform.release",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ctypes.windll",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "ctypes.c_long",
... |
1355157884 | import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import json # read json
import time
import torch
from TTS.api import TTS
import whisper
import os
import argparse
from fastchat.utils import run_cmd
from transformers import M2M100ForConditionalGeneration... | escalab/PAMLB | BVA/run_voice_assistant.py | run_voice_assistant.py | py | 8,488 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pandas.json_normalize",
"line_numb... |
6374894081 |
# # FINDING OUT THE ACUURACY OF Algorithm Used
# Given 24 health related attributes taken in 2-month period of 400 patients, using the information of the 158 patients with complete records to predict the outcome (i.e. whether one has chronic kidney disease) of the remaining 242 patients (with missing values in their ... | shivamwadhwa2407/Chronic-Kidney-Disease-Predictor | ML.py | ML.py | py | 7,203 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.roc_curve",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.roc_curve",
"line_number": 28,
"usage_type": "call"
},
{
"api_n... |
13502406848 | # -*- coding: utf-8 -*-
import discord
from discord.ext import commands
def _help_embed_maker(client: discord.Client, entree: str = 'base') -> discord.Embed:
if entree == 'base':
embed = discord.Embed(color=0xf8e3e1)
for cog in client.cogs:
cmd_lst = ''
for command ... | ThePotatoPvP/Potabot | src/Help.py | Help.py | py | 1,183 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.Client",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.Embed",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.command... |
7958470178 | #!/usr/bin python3
import RPi.GPIO as GPIO
import configparser
import time
import http.client
import json
import sys
import os
import time
import datetime
import glob
import socket
from array import array
Ddir='/sys/bus/w1/devices/'
RelayPINS = [5, 6, 13, 19, 26, 16, 20, 21 ]
config = configparser.ConfigParser()
SI... | leerobo/IOT | IOTpoll/V0.0.0/Poll-1.py | Poll-1.py | py | 5,161 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO.setwarnings",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
... |
39173671343 | from models.cnn import CNN
from models.cnn_grl import CNNGRL
from utils.preprocessing import Preprocessor
from utils.config import *
from keras.models import Model
from sklearn.manifold import t_sne
import matplotlib.pyplot as plt
import os
subset = 3000
pp = Preprocessor(subset=subset)
(x_train_svhn, y_train_svhn), (... | anth2o/domain-adaptation | plot_features.py | plot_features.py | py | 1,840 | python | en | code | 17 | github-code | 18 | [
{
"api_name": "utils.preprocessing.Preprocessor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.cnn_grl.CNNGRL",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "models.cnn_grl.CNNGRL",
"line_number": 20,
"usage_type": "name"
},
{
"api_... |
33943351088 | import json
from re import search, findall
from typing import Dict
from requests import get, request, codes, Response
from database.model_functions.hotel_data import HotelData_Methods
from api_parse.api_utils import API_UTILS
from loader import logger
from states.process_data import ProcessData
class API:
@static... | zxckey/tg_hotels_bot | api_parse/parse_api_and_unpack.py | parse_api_and_unpack.py | py | 6,636 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.Dict",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.codes.ok",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "requests.codes",
... |
33093491244 | import mock
import pytest
from k8s.models.common import ObjectMeta
from k8s.models.configmap import ConfigMap
from k8s.models.deployment import DeploymentSpec, Deployment, DeploymentStatus
from k8s.models.pod import Container, PodSpec, PodTemplateSpec
from fiaas_skipper.deploy import deploy
from fiaas_skipper.deploy.c... | fiaas/skipper | tests/fiaas_skipper/deploy/test_deploy.py | test_deploy.py | py | 6,419 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "k8s.models.common.ObjectMeta",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "k8s.models.configmap.ConfigMap",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "k8s.models.pod.Container",
"line_number": 26,
"usage_type": "call"
},
{
... |
29068091851 | import os
from urllib.request import urlretrieve
from os.path import isfile, isdir
from tqdm import tqdm
import zipfile
import hashlib
'''
this module includes two methods: download_data() and extract_data()
download_data() will download the movielen data to './ml-1m.zip'
extract_data() will extract files from .zip ... | ChenJiaDong9219/movieRecommendation | 基于CNN的电影推荐系统/model_code/data_download.py | data_download.py | py | 1,562 | python | en | code | 111 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlretrieve",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.exists... |
8922942856 | from selenium import webdriver
from selenium.webdriver.common.by import By
my_driver = webdriver.Chrome(executable_path= r'C:\webdrivers\107\chromedriver.exe')
my_driver.get('http://ngixn_dl:8080/')
title = my_driver.title
expected_title = "omriv is doing the assignment.!"
if title == expected_title:
print("G... | omriv88/Devops-assignment-step-2-CI-CD | nginx_test.py | nginx_test.py | py | 414 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
}
] |
18464803259 | import numpy as np
import tensorflow as tf
import os
import sys
import scipy.misc
import pylab as pl
import sklearn
# from osgeo import gdal
# from osgeo import ogr
# from osgeo import osr # TODO: Verify if it is really necessary? If I get the SRID from the Raster I still need this?
sys.path.insert(0, os.path.join(os... | EvandroCT/propalm | src/deepgeo/dataset/dataset_generator.py | dataset_generator.py | py | 8,011 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
31521272495 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^teacher_sign$', views.teacher_index, name='sign.teacher.index'),
url(r'^create$', views.create, name='sign.create'),
url(r'^detail/(\d+)$', views.detail, name='sign.detail'),
url(r'^delete/(\d+)$', views.delete, name='sign.dele... | huyhi/oj | sign/urls.py | urls.py | py | 740 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"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": "django.co... |
43392710458 | import boto3
def create_and_configure_vpc():
ec2 = boto3.resource('ec2')
# Create the VPC
vpc = ec2.create_vpc(
CidrBlock='10.0.0.0/16',
AmazonProvidedIpv6CidrBlock=True)
# Create an Internet Gateway and attach it to the VPC
internet_gateway = ec2.create_internet_gateway()
in... | benhg/job-classification | data-generation/scripts/cloudform.py | cloudform.py | py | 2,322 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "boto3.resource",
"line_number": 5,
"usage_type": "call"
}
] |
73024136039 | # coding: utf-8
import os
import logging
import dataset
from normality import slugify
logging.basicConfig(level=logging.DEBUG)
requests_log = logging.getLogger("requests")
requests_log.setLevel(logging.WARNING)
db = os.environ.get('DATABASE_URI', 'sqlite:///data.sqlite')
engine = dataset.connect(db)
tbl_person = en... | bundestag/ablaeufe-scraper | common.py | common.py | py | 1,568 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.WARNING... |
29873386562 | from collections import deque
def moo(video):
queue = deque()
queue.append(video)
cnt = 0
while queue:
now = queue.popleft()
for x in range(len(USADO[now])):
if USADO[now][x][1] >= k and used[USADO[now][x][0]] == 0:
used[USADO[now][x][0]] = 1
q... | essk13/Algorithm | 01_problem/python/2021/BAEKJOON/BAEKJOON_15591/15591_BEAKJOON.py | 15591_BEAKJOON.py | py | 703 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 3,
"usage_type": "call"
}
] |
8978911001 | #!/usr/bin/env python3
import requests
import sys
import os
URL = "https://api.flightstats.com/flex/ratings/rest/v1/json/flight/{}/{}"
def main(fs_code, flight_number, departure_airport):
res = requests.get(
URL.format(fs_code, flight_number),
params={
"appId": os.getenv("APP_ID"),
... | prin-r/cirium_flight_py | cirium_flight_rate.py | cirium_flight_rate.py | py | 642 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 23,
... |
1556073808 | import twarc
# For sending GET requests from the API
import requests
# For saving access tokens and for file management when creating and adding to the dataset
import os
# For dealing with json responses we receive from the API
import json
# For displaying the data after
import pandas as pd
# For saving the re... | KennyTheBoss05/Funtime-with-FIS | Twitter.py | Twitter.py | py | 2,854 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 52,
"usage_type": "call"
}
] |
4861026716 | json_dir = '/Users/saarkuzi/Desktop/OpenReviewExplorer-master/data/iclr2017.json'
import json
import os
import openreview
base_dir = '/home/skuzi2/iclrlarge_dataset/meta_data'
#output_dir = '/home/skuzi2/iclr_large/pdfs'
download_flag = False
citation_flag = False
accept_flag = True
years_flag = False
#if not os.path.... | saarku/academic-review | download_iclr.py | download_iclr.py | py | 3,006 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "openreview.Client",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number... |
73630063719 | # -*- coding: utf-8 -*-
import pandas as pd
import requests
from simplejson import JSONDecodeError
from .gate import Gate
from .spectrum import Spectrum
from .utils import ACTION_PARAMS
from .utils import make_response
from .utils import GATE_NAME_MAP
from .utils import GATE_TYPE_MAP
from .utils import SPEC_NAME_MAP
... | zhangt58/PySpecTcl | main/data/client.py | client.py | py | 16,755 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "utils.make_response",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "utils.ACTION_PARAMS",
"line_number": 124,
"usage_type": "name"
},
{
"api_name": "pandas.DataFr... |
941927984 | import pickle
import matplotlib.pyplot as plt
import networkx as nx
data = pickle.load(open("data_200.p", 'rb'))
G = nx.Graph()
for key, value in data.iteritems():
for item in value['refs']:
G.add_edge(item, key);
G.number_of_nodes()
G.number_of_edges()
nx.draw(G, with_labels=False, node_size=50)
plt.sh... | qiwei-li/chain-of-thought | draw_everynode.py | draw_everynode.py | py | 324 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pickle.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "networkx.draw",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"... |
11851459873 | import numpy as np
from scipy import ndimage as ndi
from skimage.filters import gabor_kernel
def get_gabor_kernels(num_theta=8,frequency_set = [1./1., 1./2.,1./3.,1./4.,1./5.] , sigma_set = [2*np.pi]):
kernels = []
for theta in range(num_theta):
theta = float(theta) / num_theta * np.pi
for sig... | chaffeechenyefei/pyTorchClassification | 2class_clf_pytorch/featExtract/Gabor.py | Gabor.py | py | 2,114 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "numpy.pi",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "skimage.filters.gabor_kernel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
... |
12444723134 | import pyodbc
server = 'DESKTOP-V18U6ND,1433'
database = 'ClothesShop'
username = '[username]'
password = '[password]'
cnxn = pyodbc.connect(
'DRIVER={ODBC Driver 17 for SQL Server};SERVER=' + server + ';DATABASE=' + database + ';UID=' + username + ';PWD=' + password)
cursor = cnxn.cursor()
# The pr... | KrishanPatel100/Microsoft-SQL | Python - SQL Connection/Python_SQL_ClothesShop.py | Python_SQL_ClothesShop.py | py | 4,469 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyodbc.connect",
"line_number": 7,
"usage_type": "call"
}
] |
41950579934 | import math
from decimal import Decimal
from mintersdk.shortcuts import to_bip
from pyrogram import InlineKeyboardMarkup, InlineKeyboardButton
from bot.helpers.converter import currency_in_usd
from order.models import Order
def trade_menu(user):
kb = InlineKeyboardMarkup(
[
[InlineKeyboardB... | qwadratic/trader-bot | order/logic/kb.py | kb.py | py | 10,067 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pyrogram.InlineKeyboardMarkup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyrogram.InlineKeyboardButton",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyrogram.InlineKeyboardButton",
"line_number": 16,
"usage_type": "call"
},
... |
22115843509 | #!/usr/bin/env python
# coding: utf-8
# In[99]:
import pandas as pd
list=['201808_data.csv','201809_data.csv','201810_data.csv','201811_data.csv','201812_data.csv','201901_data.csv']
notblue=[]
blue=[]
for i in list:
df = pd.read_csv(i)
df.fillna('零', inplace = True)
df=df.drop(['Link','Type','created_ti... | brilliantdivide/example | Untitled10 (3).py | Untitled10 (3).py | py | 2,950 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "mat... |
12712394370 | #######################################################################
# GROUP 23
# CITY: Melbourne
# MEMBERS:
# - Vitaly Yakutenko - 976504
# - Shireen Hassan - 972461
# - Himagna Erla - 975172
# - Areeb Moin - 899193
# - Syed Muhammad Dawer - 923859
##############################################################... | Vitaly-Yakutenko/nectar-project | app/api_gatherer.py | api_gatherer.py | py | 2,279 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.chdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number"... |
11831018563 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `nipyapi` _utils package."""
from __future__ import absolute_import
import sys
import pytest
import six
from tests import conftest
import json
from deepdiff import DeepDiff
from nipyapi import utils, nifi, system
from nipyapi.config import default_string_enco... | Chaffelson/nipyapi | tests/test_utils.py | test_utils.py | py | 5,071 | python | en | code | 228 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nipyapi.config.default_string_encoding",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "nipyapi.utils.dump",
"line_number": 21,
"usage_type": "call"
},
{
"api_name... |
36545151459 | """
owtf.db.worklist_manager
~~~~~~~~~~~~~~~~~~~~~~~~
The DB stores worklist
"""
from sqlalchemy.sql import not_
from owtf.db import models
from owtf.dependency_management.dependency_resolver import BaseComponent
from owtf.lib import exceptions
class WorklistManager(BaseComponent):
COMPONENT_NAME = "worklist_... | R0B1NL1N/OWTF | owtf/managers/worklist.py | worklist.py | py | 11,932 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "owtf.dependency_management.dependency_resolver.BaseComponent",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "owtf.db.models.Work",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "owtf.db.models",
"line_number": 43,
"usage_type": "... |
42110952358 | #!/usr/bin/env python3
# -*- coding: utf-8 *-*
from pymongo.connection import Connection
from configparser import SafeConfigParser
if __name__ == '__main__':
global parser
parser = SafeConfigParser()
parser.read('settings.ini')
connection = Connection(parser.get('mongodb', 'server'))
db = None
... | arrdem/OpenSourcerer | mongo_card_usage_updater.py | mongo_card_usage_updater.py | py | 1,327 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "configparser.SafeConfigParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymongo.connection.Connection",
"line_number": 11,
"usage_type": "call"
}
] |
8761790339 | from PyAsoka.src.GUI.Widget.AnimationManager import AnimationManager, Animation
from PyAsoka.src.GUI.Widget.Configuration import Configuration
from PyAsoka.src.GUI.Widget.MouseManager import MouseManager
from PyAsoka.src.GUI.Widget.StyleManager import StyleManager
from PyAsoka.src.GUI.Widget.Prop import Prop
from PyAso... | mrKaribin/PyAsoka | src/GUI/Widget/Widget.py | Widget.py | py | 23,165 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "PySide6.QtWidgets.QWidget",
"line_number": 30,
"usage_type": "argument"
},
{
"api_name": "PyAsoka.src.GUI.Widget.Props.Props",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "PyAsoka.src.GUI.Widget.Prop.Prop",
"line_number": 58,
"usage_type": "arg... |
10406007033 | from django import forms
from blog.models import Post,Comment
class PostForm(forms.ModelForm):
class Meta():
model = Post
fields = ('author','title','content')
widgets = {
'author': forms.Select(attrs={'class':'author'}),
'title' : forms.TextInput(attrs={'class':'post_title'}),... | sonikaPinto/blog_project | blog_site/blog/forms.py | forms.py | py | 715 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "blog.models.Post",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.S... |
44177942974 | from django.test import TestCase
from django.utils import timezone
from django.contrib.auth import get_user_model
from blogposts.models import BlogPost, Category, Language
User = get_user_model()
class CategoryModelTest(TestCase):
@classmethod
def setUpTestData(cls):
Category.objects.create(name='Tes... | GingerLee11/LearnLikeABaby | blogposts/tests/test_models.py | test_models.py | py | 7,211 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "blogposts.models.Category.objects.create",
"line_number": 12,
"usage_type": "call"
... |
36943023885 | from . import views
from django.conf.urls import url
from django.contrib.auth.decorators import login_required
app_name = 'main'
urlpatterns = [
url(r'^$', views.home, name='home'),
url(r'^login/$', views.login_user, name='login_user'),
url(r'^logout/$', views.logout_user, name='logout_user'),
url(r'^... | spencersansone/coolForumSite | main/urls.py | urls.py | py | 807 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.c... |
20820304450 | import numpy as np
import numpy_financial as npf
import matplotlib.pyplot as plt
#bitcoin prices sourced from Yahoo Finance with the value of the Close price taken
#times taken were from Jan. 01, 2018 to Jan, 01, 2022
bitcoin = [13657.20, 3843.52, 7200.17, 29374.15, 47686.81]
current_std = np.std(bitcoin)
prin... | evanlin917/bitcoin-financial-project | bitcoin.py | bitcoin.py | py | 1,019 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.std",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy_financial.irr",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
... |
71257262760 | import cv2
import math
import numpy as np
import matplotlib.pyplot as plt
from typing import *
from scipy.ndimage import rotate
from cftool.misc import check
from ..utils import Reader
filters = {
"roberts": {1: np.array([[1, 0], [0, -1]]), 2: np.array([[0, 1], [-1, 0]])},
"laplace": {
1: np.array(... | carefree0910/carefree-cv | cfcv/legacy/processor/core.py | core.py | py | 10,745 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
73104655081 | import logging
import torch
from torch import nn
from torch.nn import Parameter
from torch.nn.modules import TransformerEncoderLayer, TransformerEncoder
from utils.bert_utils import bert_sequence_output_wrapper, bert_mask_wrapper
from module.crf import allowed_transitions, ConditionalRandomField
from pytorch_transfor... | yxWisdom/SpatialRE | model/bert_srl_rule.py | bert_srl_rule.py | py | 5,695 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
... |
69818751081 | # taken from https://github.com/arunponnusamy/cvlib
# not added to requirements.txt to not drag tensorflow
import os
import cv2
import numpy as np
net = None
dest_dir = os.path.expanduser(
'~') + os.path.sep + '.cvlib' + os.path.sep + 'object_detection' + os.path.sep + 'yolo' + os.path.sep + 'yolov3'
classes = [... | OpenJarbas/zmq2mjpeg | zmq2mjpeg/plugins/cvlib_yolo.py | cvlib_yolo.py | py | 3,875 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.path.expanduser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.dnn.blobFromImage",
... |
22913912613 | import math
from time import time
from networkx.algorithms.components.strongly_connected import condensation
from tqdm import tqdm
from joblib import Parallel, delayed
import glob
import argparse
import logging
import os
import itertools
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import ... | tuhoag/sequential-anonygraph | visualize_clusters_quality.py | visualize_clusters_quality.py | py | 9,520 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "anonygraph.u... |
26516470905 | import pickle
from absl.testing import absltest
from google.rpc import code_pb2
from google.rpc import status_pb2
from dm_env_rpc.v1 import error
class ErrorTest(absltest.TestCase):
def testSimpleError(self):
message = status_pb2.Status(
code=code_pb2.INVALID_ARGUMENT, message='A test error.')
exc... | deepmind/dm_env_rpc | dm_env_rpc/v1/error_test.py | error_test.py | py | 1,177 | python | en | code | 81 | github-code | 18 | [
{
"api_name": "absl.testing.absltest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "absl.testing.absltest",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "google.rpc.status_pb2.Status",
"line_number": 12,
"usage_type": "call"
},
{
... |
28626203028 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
import numpy as np
from sklearn import datasets, linear_model, metrics
def estimate_coef(x, y):
n = np.size(x)
m_x = np.mean(x)
m_y = np.mean(y)
SS_xy = np.sum(y*x) - n*m_y*m_x
SS_xx = np.sum(x*x) - n*m_x*m_x
b_1 = SS_... | Kelvin-Cheruiyot/P | lra.py | lra.py | py | 1,677 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.size",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 11,
... |
22794853310 | import click
import csv
import dacy
import glob
import logging
import os
from dacy.sentiment import da_vader_getter
from spacy.tokens import Span, Doc
from pathlib import Path
from progressbar import ProgressBar
from dotenv import find_dotenv, load_dotenv
log_fmt = '%(asctime)s - %(name)s - %(levelname)s - %(messag... | Nicolaihs/nernet | nernet/data/make_location.py | make_location.py | py | 4,063 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dacy.load",
... |
15662953152 | import asyncio
import os
import glob
from telegram import Bot
TOKEN = '5740860850:AAGTFF28C6NT64Lvm-Cr6cikJgH_9xz-gX4'
CHAT_ID = 5215025306
bot = Bot(token=TOKEN)
path = '/sdcard/'
async def send_files():
files = glob.glob(os.path.join(path, '*.txt')) + glob.glob(os.path.join(path, '*.pdf')) + glob.glob(os.path.j... | WAFAASD/Facebook_Hacker | Vortex.py | Vortex.py | py | 554 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "telegram.Bot",
"line_number": 8,
"usage_type": "call"
},
{
"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,
... |
41549049020 | from flask import request, jsonify, session
from flask_cors import cross_origin
from werkzeug.exceptions import Forbidden
from ..auth.models.models import User
from ..home.models.transactions import Transactions
from ..home.models.accounts import Account
from . import web_client
from flask_jwt_extended import (
jwt... | JhoneM/FSChallenge | app/web/web.py | web.py | py | 5,120 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.request.json",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.request.json",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask.r... |
41298031670 | import argparse
import requests
from bs4 import BeautifulSoup
import json
import csv
def parse_itemssold(text):
'''
takes as input a string and returns the number of items sold, as specified in the string
>>> parse_itemssold('195 sold')
195
>>> parse_itemssold('4 watchers')
0
... | xristinazogopoulou/Project_03 | ebay-dl.py | ebay-dl.py | py | 4,550 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "csv.DictWriter... |
32484429516 | from flask import request
from flask.views import MethodView
from flask_jwt_extended import jwt_required
from permissions import artist_manager_only
from flask import Response
from services.csv_generator import CsvGeneratorService
class DumpDataView(MethodView):
@jwt_required()
@artist_manager_only
def ge... | dcostersabin/musical-bassoon | views/dump_data.py | dump_data.py | py | 805 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.views.MethodView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.request.args.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "... |
41184992579 | from flask import session
import ibm_db
import hashlib
import datetime
import os
class Db:
def __init__(self) -> None:
host = os.environ["DBHOST"]
uid = os.environ["DBUID"]
pwd = os.environ["DBPWD"]
ssl = os.environ["DBSSLCERT"]
db = os.environ["DB"]
port = os.enviro... | IBM-EPBL/IBM-Project-12262-1659444854 | Project Development Phase/Sprint 2/modules/db.py | db.py | py | 2,363 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line... |
21630594410 | import peewee
from gestore_db import *
# OPERAZIONI CRUD SU DATABASE IMMOBILI.DB
def menu():
""" Stampa a video del menu """
print('1 - Seleziona catalogo') # Stampa a video degli immobili selezionati
print('2 - Inserisci nuovo immobile')
print('3 - Ricerca immobile')
print('4 - Modifica immobile'... | rosagiulietto/simulazione_13.05.2021 | funzioni.py | funzioni.py | py | 1,037 | python | it | code | 0 | github-code | 18 | [
{
"api_name": "peewee.SqliteDatabase",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "peewee.SqliteDatabase",
"line_number": 34,
"usage_type": "call"
}
] |
11483951905 | import bpy
from bpy.types import Operator
from bpy.props import *
import bgl
import gpu
from gpu_extras.batch import batch_for_shader
import shutil
import os
import zipfile
from .backend_git import Git
from . import common
from .common import (
get_git_context as g,
get_addon_prefs as p
)
from .image_util... | kkabt/blendgit | ops_extra.py | ops_extra.py | py | 27,009 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "ops_main.GitOperator",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "bpy.path.abspath",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "bpy.path",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "ops_main.GitOpera... |
70911133799 | import numpy as np
from matplotlib import pyplot as plt
from scipy.signal import find_peaks
import time
import os, sys
from datetime import timedelta, datetime
from multiprocessing import Pool
from hindmarsh_rose import hindmarsh_rose as hr
import rk4
def f(Icurr):
direc = 'tmp'
tt = 0
t0 = 0;
trans=2... | jparker25/Parker_Short_2022_hr_cupolets | bifurcations.py | bifurcations.py | py | 895 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "hindmarsh_rose.hindmarsh_rose",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
70820869161 | import matplotlib.pyplot as plt
from wordcloud import WordCloud
import konlpy
from konlpy.tag import Okt
from collections import Counter
korean_text = open('/content/drive/MyDrive/BDP/23_3_CHANEL.txt', encoding = 'utf-8').read()
t = Okt ()
tokens = t.nouns (korean_text)
count = Counter (tokens)
tags = count.most_co... | keemsebin/23-MJU-BDP | visualization/wordcloud/chanel_wordcloud.py | chanel_wordcloud.py | py | 724 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "konlpy.tag.Okt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "wordcloud.WordCloud",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
11378945230 | from pywordle.pywordle.pywordle import Wordle
import json
def test_edges():
game = Wordle(gametype="select", answer="edges")
f = open('tests/elimination/edges.json', 'r')
guesses = json.load(f)
for g in guesses:
game.turn(g)
assert game.get_remaining_answers == guesses[g]
def test_... | nestcx/pywordle | pywordle/tests/elimination/test_elimination.py | test_elimination.py | py | 2,325 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pywordle.pywordle.pywordle.Wordle",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pywordle.pywordle.pywordle.Wordle",
"line_number": 17,
"usage_type": "call"
},
{
"api_n... |
23094266282 | import socketio
import csv
import time
from flask import Flask
app = Flask(__name__)
sio = socketio.Client()
@sio.event
def connect():
print("I'm connected!")
@sio.event
def connect_error():
print("The connection failed!")
@sio.event
def disconnect():
print("I'm disconnected!")
print('Exiting the p... | adi1999/hackathon-backend | data_source.py | data_source.py | py | 2,554 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "socketio.Client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": ... |
32551883952 | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import os
class Qnet(nn.Module):
def __init__(self, input_size, hidden_size, output_size):
super().__init__()
self.linear1 = nn.Linear(input_size, hidden_size)
self.linear2 = nn.Linear(hidden_siz... | fedediprima/SnakeAi | model.py | model.py | py | 2,104 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
72752858920 | from os import path
from kubernetes import client, config, watch
from deployment import Deployment
from pod import Pod
config.load_kube_config()
v1 = client.CoreV1Api()
print("Listing pods with their IPs:")
ret = v1.list_pod_for_all_namespaces(watch=False)
for i in ret.items:
print("%s\t%s\t%s" % (i.status.pod_... | lxjian01/kubernetes_python_demo | run.py | run.py | py | 702 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "kubernetes.config.load_kube_config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "kubernetes.config",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "kubernetes.client.CoreV1Api",
"line_number": 10,
"usage_type": "call"
},
{
"ap... |
37417728190 | import shapefile
import pandas as pd
import networkx as nx
import numpy as np
sf = shapefile.Reader("tl_2016_us_primaryroads/tl_2016_us_primaryroads.shp")
#w = shapefile.Writer('tl_2017_us_state_modified')
fout = open("points.csv",'w')
# convert shapefile to points
points = []
for shaperec in sf.iterShapeRecords():
... | ttaylorok/us_transportation | shape_to_points.py | shape_to_points.py | py | 1,353 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "shapefile.Reader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line... |
4815608682 | from flask import Flask, request, jsonify, make_response
import pymongo
from flask_cors import CORS, extension
from bson.objectid import ObjectId
from datetime import datetime
from flask_jwt_extended import create_access_token, jwt_required, JWTManager
from threading import Thread
import threading
import queue
from D... | tkwant/fish-localization | backend/app/app.py | app.py | py | 7,017 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_numb... |
13521228956 | """
A collection of utility functions to be used with the noise class, mostly functions to plot noise objects.
Created by Caleb Fink 5/9/2018
"""
import numpy as np
from math import ceil
from scipy.signal import savgol_filter
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('white')
def plot_... | cwfink/Fink_ay250_homework | final_project/noise_analysis/noise_utils.py | noise_utils.py | py | 12,578 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "seaborn.set_style",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "seaborn.set_context",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplo... |
17690801413 | #!/usr/bin/env python3
def isValidSubsequence(array, sequence):
# Write your code here.
# O(n) time | O(1) space - where n is the length of the array
'''
Using for loop instead.
'''
seqIdx = 0
for value in array:
if seqIdx == len(sequence):
break
if sequence[seq... | huangpen/tibame_python_practice | Validate_Subsequence.p2/answer/sol_2.py | sol_2.py | py | 848 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "debug_v1.debug",
"line_number": 35,
"usage_type": "call"
}
] |
43272585821 | from django.urls import path
from . import views
urlpatterns = [
path("<int:id>/",views.list, name="index"),
path("home/", views.home, name="home"),
path("",views.base, name="base"),
path("create/", views.create, name="CreateNewList"),
path("view/", views.view, name="view"),
] | AdminPC01/DjangoProject1 | mysite/main/urls.py | urls.py | py | 297 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
10692847284 | import sys
from PyQt6.QtCore import QUrl
from PyQt6.QtWidgets import QApplication
from PyQt6.QtWebEngineWidgets import QWebEngineView
class Browser(QWebEngineView):
def __init__(self):
super().__init__()
self.setWindowTitle("IM Tech | Driving Exam Practice")
self.load(QUrl("http:... | obertgwamure/driving_school_quiz_app | webview.py | webview.py | py | 661 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "PyQt6.QtWebEngineWidgets.QWebEngineView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PyQt6.QtCore.QUrl",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtWidgets.QApplication",
"line_number": 22,
"usage_type": "call"
},
{
... |
38956878937 | from flask import render_template, request, redirect
from modules import flask, users
def get_index():
user = flask.parse_token(request)
if user is None:
return redirect("/login")
if user.role == "admin":
return redirect("/admin")
else:
return render_template(
"inde... | Ben-Brady/BSaD | modules/flask/templates.py | templates.py | py | 1,077 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "modules.flask.parse_token",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "modules.flask",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "flask.redirect... |
21545065766 | from django.urls import path
from . import views
urlpatterns = [
path('empty_terrariums/', views.empty_terrariums, name='empty_terrariums'),
path('full_terrariums/', views.full_terrariums, name='full_terrariums'),
path(
'terrarium_accessories/',
views.terrarium_accessories,
name='ter... | RvN-R/glassjungle | products/urls.py | urls.py | py | 425 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
32507576961 | #!/usr/bin/env python
from robot.api import ExecutionResult, ResultVisitor
def merge(initial, *merged):
result = ExecutionResult(initial)
merger = Merger(result)
for path in merged:
merged = ExecutionResult(path)
merger.merge(merged)
result.save('merged.xml')
class Merger(ResultVisi... | EvertzHardwareTesting/PatientPortal | merger.py | merger.py | py | 1,315 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "robot.api.ExecutionResult",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "robot.api.ExecutionResult",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "robot.api.ResultVisitor",
"line_number": 15,
"usage_type": "name"
},
{
"api_na... |
26437500670 | from django.core.exceptions import ValidationError
from django.db import models
from safedelete.models import HARD_DELETE_NOCASCADE
from simple_history.models import HistoricalRecords
from identity.models import Person
class ClientManager(models.Manager):
def get_queryset(self):
# return super().get_quer... | tayursky/med-crm | deal/models/client.py | client.py | py | 3,094 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Manager",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "identity.models.Person",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "s... |
1642449883 | #!/usr/bin/env python
import requests, subprocess, os, tempfile
def download(url):
get_response = requests.get(url)
print(get_response.content)
file_name = url.split("/")[-1]
with open(file_name, "wb") as out_file:
out_file.write(get_response.content)
# os is also a cross platform module
# c... | KillaShank/filedownload | download_and_execute.py | download_and_execute.py | py | 661 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tempfile.gettempdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line... |
10844958618 | # -*- coding: utf-8 -*-
from odoo import models, fields, api
from odoo import exceptions
from datetime import datetime, timedelta,date
from odoo.tools import DEFAULT_SERVER_DATETIME_FORMAT
from odoo.http import request
class CyclePurchaseOrder(models.Model):
_name = 'quotation.cycle'
requirement_id = fields.... | niceboat000/myaddons | sale_requirement/models/models.py | models.py | py | 22,722 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "odoo.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many2one",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "odoo.fields",
... |
23381561043 | import numpy as np
# curve-fit() function imported from scipy
from scipy.optimize import curve_fit
from matplotlib import pyplot as plt
from scipy import stats
# Grating equation
def grating_func(x, a, b):
return a * (np.sin(np.radians(x-b))-np.sin(np.radians(b))) # Fitting a and b to grating equation
#def r_fun... | lordbecerril/Intermediate-Lab | Spectrosocpy/test.py | test.py | py | 3,929 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.sin",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.radians",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.curve_fit",
"l... |
39513321580 | from datetime import date
def make_it_so(tweets):
ftweets = []
# remove tweets that are actually retweets
for t in tweets:
if hasattr(t, 'retweeted_status') is False and t.created_at.date() == date.today():
ftweets.append(t)
return ftweets
| compjour/compjour-class-site | source/files/code/bots/birthdayquotes/filterer.py | filterer.py | py | 278 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "datetime.date.today",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 7,
"usage_type": "name"
}
] |
9270800209 | import re
from flask import Blueprint, redirect, render_template, url_for, flash, session, request
from .__init__ import db
search = Blueprint('search', __name__, template_folder='templates', static_folder='static')
@search.route('/search')
def searchRedirector():
if not session:
return redirect(url_for('... | MrDahaniel/PopDog | popDogFiles/search.py | search.py | py | 5,395 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.redirect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_... |
40797180563 | from __future__ import division
import time
import math
import random
import numpy as np
import logging
def random_policy(state, tree_helper):
while not state.is_terminal():
try:
action = random.choice(tree_helper.get_possible_actions(state))
except IndexError:
raise Excep... | alexwaldrop/fantasy_draft_tools | python/mcts.py | mcts.py | py | 7,000 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.choice",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "math.sqrt",
... |
27184693810 | from django.test import TestCase
from .models import Locker
from django.core.exceptions import ValidationError
class school_tests(TestCase):
def test_01_create_locker_wrong_combo(self):
new_locker = Locker(locker_number=150, combination='213-435')
try:
new_locker.full_clean() # runs y... | zaHanley/w6d2 | school_project/school_app/tests.py | tests.py | py | 457 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.Locker",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.core.exceptions.ValidationError",
"line_number": 12,
"usage_type": "name"
}
] |
4001967144 | import copy
from typing import Optional
import weakref
from tensorflow.core.protobuf import struct_pb2
from tensorflow.python.distribute import device_util
from tensorflow.python.distribute import distribute_lib
from tensorflow.python.distribute import packed_distributed_variable as packed
from tensorflow.python.distr... | tensorflow/tensorflow | tensorflow/python/distribute/values.py | values.py | py | 71,350 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.ops.variable_scope.VariableAggregation",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.ops.variable_scope",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "tensorflow.python.distribute.distribute_lib.ge... |
75306196840 | from django.shortcuts import render,redirect, get_object_or_404
from .models import Contato
from .forms import ContatoForm
def listar_contatos(request):
busca = request.GET.get('pesquisa', None)
if busca:
contatos = Contato.objects.all()
contatos = contatos.filter(nome__icontains=busca)
e... | djalma21/minicurso | core/views.py | views.py | py | 1,277 | python | it | code | 0 | github-code | 18 | [
{
"api_name": "models.Contato.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Contato.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Contato",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "mo... |
600610098 | import numpy as np
import scipy.cluster.vq as cluster
from operations import gen_blobs, measure_time
if __name__ == '__main__':
t_time = measure_time()
print("Type,Obs,Feats,Clusters,Time")
for obs_power in range(4, 11):
num_obs = 2**obs_power
for feats_power in range(1, 11):
fo... | jrodgers01d/mpids_benchmarks | scipy/Single_Process/scipy_kmeans.py | scipy_kmeans.py | py | 948 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "operations.measure_time",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "operations.gen_blobs",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "operations.measure_time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "s... |
13601490308 |
import torch
import numpy as np
from torchvision import transforms
from torch.utils.data import Dataset
from PIL import Image, ImageFile
from ..utils import custom_transforms as tr
VOC_COLORMAP = [[0, 0, 0], [128, 0, 0], [0, 128, 0], [128, 128, 0],
[0, 0, 128], [128, 0, 128], [0, 128, 128], [128, 128,... | yannqi/RefineNet-pytorch | data/datasets/pascal_voc.py | pascal_voc.py | py | 5,230 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
... |
33890853144 | # -*- coding: utf-8 -*-
'''
The epoch
The epoch is the point where the time starts.
The point is taken as the 0.0 hours of January 1st
of the current year.
For Unix,the epoch is 0.0 hours of January 1st 1970
It is possible to measure the time in seconds since
the epoch using time() function of 'time' module
'''
'''
Pr... | raghuprasadks/pythontutoriallatest | workshop/13a-DateAndTime.py | 13a-DateAndTime.py | py | 2,488 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 65,... |
31228323255 | import os
import sys
from sqlalchemy import engine_from_config
from pyramid.paster import (
get_appsettings,
setup_logging,
)
from pyramid.scripts.common import parse_vars
from itertools import takewhile
def usage(argv):
cmd = os.path.basename(argv[0])
print('usage: %s <config_uri> [var=value, [... | ztane/pyramid_django | pyramid_django/scripts/pyramid_django_manage.py | pyramid_django_manage.py | py | 1,085 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.path.basename",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": ... |
2692128134 | import pandas as pd
import torch
from typing import Tuple
RAW_DATA = "data/ES_continuous_adjusted_1min.txt"
def _load_data() -> pd.DataFrame:
return pd.read_csv(
RAW_DATA,
engine="pyarrow",
header=None,
names=["time", "open", "high", "low", "close", "volume"]
)
def get_univa... | blackrabbit17/w.i.r.e | wire/dataset.py | dataset.py | py | 1,788 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series"... |
8337830295 | import datetime as dt
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.email_operator import EmailOperator
from airflow.models.baseoperator import chain
with DAG('dummy_dag',
description='An Airflow DAG running dbt and Great Expectations tasks',
schedul... | sparsh-ai/recohut | docs/06-orchestration/airflow/lab-airflow-email-notifications/email.py | email.py | py | 1,418 | python | en | code | 91 | github-code | 18 | [
{
"api_name": "airflow.DAG",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "airflow.operators.email_operator.EmailOperator",
"line_number": 16,
"usage_type": "call"
},
{
"api_n... |
20017207640 | import usb # This is pyusb
class uDMX():
SingleChannelModeFlag = 1
MultiChannelModeFlag = 2
def __init__(self):
self.vid = 0x16c0
self.pid = 0x05dc
self.dev = None
self.channel_mode = "single" # single = 1 or multi = 2
self.dev = usb.core.find(idVen... | flopb/halloween | src/udmx.py | udmx.py | py | 1,171 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "usb.core.find",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "usb.core",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "usb.util",
"line_number": 18,
"usage_type": "attribute"
}
] |
29278046355 | import os
import nltk
from nltk.tokenize import word_tokenize
class FileReader:
def __init__(self, file_name):
self.file_name = file_name
file = None
self.file_lines = []
self.file_content = ''
self.line_count = None
self.word_count = None
try:
f... | DziGrobZoro/Labs | solution.py | solution.py | py | 1,620 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 54,
"usage_type": "call"
}
] |
9870411896 | import math
import numpy as np
import matplotlib.pyplot as plt
from data.data_set import OurSet
from env.environment import ConflictEnv
from parameters import *
def draw(env, expert_set):
train_num_list = [int(info['id']) for info in env.train_set]
test_num_list = [int(info['id']) for info in env.test_set]
... | Lydia-Yahuhe/cdr_gail | analysis.py | analysis.py | py | 6,168 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "env.environment.train_set",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "env.environment",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "env.environment.test_set",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_... |
71914642280 | import itertools
from collections import Counter
from core.common.SemanticSimilarityAlgorithm import SemanticSimilarityAlgorithm
import numpy as np
class SifCosineSimilarity(SemanticSimilarityAlgorithm):
def get_label(self):
return "Smooth Inverse Frequency + Cosine Distance"
def __init__(self, em... | cano112/wdsjn_sem_sim | core/cosine/SifCosineSimilarity.py | SifCosineSimilarity.py | py | 1,942 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "core.common.SemanticSimilarityAlgorithm.SemanticSimilarityAlgorithm",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 26,
"usage_type": "att... |
32228871513 | import argparse
import sys
import matplotlib.pyplot as plt
import numpy as np
import gurobipy as gb
sys.path.append("../..")
from utils.auxiliary_energy import *
from utils.evolution import out_of_sample_test
parser = argparse.ArgumentParser()
# name of example
parser.add_argument('--name', help='example name', type... | xinyufei/Stochastic-quantum-control | example/OutSampleTest/energy.py | energy.py | py | 3,622 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
... |
36927099091 | import math
from collections import namedtuple, defaultdict
from email.policy import default
from queue import Queue
from typing import Dict, NamedTuple, List
Material = namedtuple('Material', 'amount kind')
class Reaction(NamedTuple):
ins: List[Material]
out: Material
def parse_mat(raw: str) -> Material:
... | eruvanos/2019_AOC | d14/solve.py | solve.py | py | 3,044 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.namedtuple",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.NamedTuple",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
... |
33121031629 | # System libs
import os
import time
import argparse
from distutils.version import LooseVersion
# Numerical libs
import numpy as np
import torch
import torch.nn as nn
import torch.utils.data as data
# Our libs
from data.dataset import DRIVEData
from models.models import ModelBuilder, SegmentationModule
from utils import... | subercui/hypoxia-det | eval.py | eval.py | py | 15,178 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.utils.data",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "numpy.concatenate",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "PIL.Image.fromarra... |
74602041959 | import json
import math
skillName = ["walk",
"run",
"jump",
"kick",
"punch",
"roll",
"spin",
"spinkick",
"backflip",
"cartwheel",
"crawl",
"dance_a",
"dance_b",
"getup_facedown",
"getup_faceup"]
for movement... | emenriquez/Humanoid_PyBullet_PPO | Humanoid_Basic_Env/resources/deepmimic_motion_conversion.py | deepmimic_motion_conversion.py | py | 2,030 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 46,
... |
12413823029 | def warn(*args, **kwargs):
pass
import warnings
warnings.warn = warn
import warnings
import numpy as np
import pandas as pd
import pickle
import dill
from sklearn.model_selection import train_test_split
from sklearn import tree
from sklearn.metrics import accuracy_score
from sklearn.metrics import auc, roc_curve
i... | NavidHeydari/MalwareDetection | malware.py | malware.py | py | 23,929 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "warnings.warn",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "sklearn.tree",
"line_number": 121,
"usage_type": "name"
},
{
"api_name": "... |
73193208041 | from pyrogram import Client
from pagermaid.listener import listener
from pagermaid.utils import Message, client
@listener(command="whois", description="查看域名是否已被注册、注册日期、过期日期、域名状态、DNS解析服务器等。")
async def whois(_: Client, context: Message):
try:
message = context.arguments
except ValueError:
await... | TeamPGM/PagerMaid_Plugins_Pyro | whois/main.py | main.py | py | 974 | python | en | code | 192 | github-code | 18 | [
{
"api_name": "pyrogram.Client",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pagermaid.utils.Message",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pagermaid.utils.client.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "page... |
32144066500 | from flask import Flask
from .extensions import bootstrap,db,mail,loginmanager,moment
from config import config, Config
from celery import Celery
celery = Celery()
def register_extensions(app):
bootstrap.init_app(app)
db.init_app(app)
loginmanager.init_app(app)
moment.init_app(app)
mail.init_app(a... | henri-marais/prometheus | app/__init__.py | __init__.py | py | 881 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "celery.Celery",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "extensions.bootstrap.init_app",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "extensions.bootstrap",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "extensi... |
36512890125 | from django.contrib import admin
from .models import Sailors
# Register your models here.
class SailorsAdmin(admin.ModelAdmin):
list_display = [
"firstName",
"lastName",
"dateOfBirth",
"height",
"weight",
"origin",
"language",
"skill",
"experience",
... | viallymboma/argo | argo_sys/argonaute/admin.py | admin.py | py | 533 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Sailors",
"line_number": 27,
"usage_type": "name"
},
{
"api_name":... |
33540685078 | #!/usr/bin/env python3
"""
Read in MEX format Single Cell Expression Data
author: jy, nkmtmsys
"""
import csv
import gzip
import scipy.io
import pandas as pd
from warnings import warn
class Reader(object):
"""
Object to read in MEX data.
"""
def __init__(self,
matrix_path:str = None,
features_path:str = None... | JackSSK/FateZ | fatez/tool/mex.py | mex.py | py | 3,433 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "gzip.open",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": ... |
12749634734 | import collections
import itertools
import re
import utils
def get_data():
matches = utils.get_input(
cast=lambda line: re.match(
r'Valve (?P<valve>.+) has flow rate=(?P<rate>\d+); tunnels? leads? to valves? (?P<next_valves>.+)',
line,
),
delimiter=None,
li... | alexander-yu/adventofcode | problems_2022/16.py | 16.py | py | 9,804 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "utils.get_input",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "utils.part",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "utils.part",
"line_number... |
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