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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
534321194 | # importing pyhton packages
import os
import sys
import math
import pysam
import collections
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
from collections import defaultdict
# global variables
readthrough_abs_reads = 30 # no of reads in isr combining all lengths
min_reads_in_1_length_... | null | main_codes/downstream_analysis/downstream_analysis_relaxed.py | downstream_analysis_relaxed.py | py | 27,503 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_nu... |
200816883 | import pandas as pd
import numpy as np
import utils
from model import LinearRegressionUsingGD, LinearRegressionUsingNE
if __name__ == '__main__':
print('Loading Data...')
df = pd.read_csv('data/house_prices.csv')
X = df[['size', 'number of bedrooms']]
y = df['price']
print('Plotting Data...')
... | null | Exercise 1/multivariate_linear_regression.py | multivariate_linear_regression.py | py | 2,105 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.scatter_plot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.hist_plot",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"l... |
647977307 | # Copyright (c) The Johns Hopkins University/Applied Physics Laboratory
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licen... | null | glance/common/signature_utils.py | signature_utils.py | py | 10,063 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "oslo_log.log.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "oslo_log.log",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "glance.i18n._",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "glance.i18n",
... |
139169191 | import requests
import json
import uuid
import threading
import time
class ServerManager:
def __init__(self):
self.slock = threading.Lock()
self.queue = {}
self.qlock = threading.Lock()
def send_records(self, records, tuple_key):
self.qlock.acquire()
if tuple_key not... | null | client/test.py | test.py | py | 8,482 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Lock",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.post",
"l... |
173208488 | # Module 1 - Create a Blockchain
"""
To be installed:
Flask==0.12.2: pip install Flask==0.12.2
- Use Anaconda Prompt
Postman HTTP Client: https://www.getpostman.com/
"""
# Import libraries
import datetime
import hashlib # To hash blocks
import json # To encode blocks before hashing
from flask import F... | null | blockchain.py | blockchain.py | py | 6,249 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "hashlib.sha256",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "json.dump... |
348257429 | """
MIFARE DESFire EV1 protocol implementation
This implementation is based on the following publicly available sources:
* Mifare Desfire communication example
https://ridrix.wordpress.com/2009/09/19/mifare-desfire-communication-example/
* Desfire EV1 Communication Examples from sotechcllc/RFDoorLock
https://githu... | null | mifare/cmac.py | cmac.py | py | 5,460 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Crypto.Util.number.bytes_to_long",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "Crypto.Util.number.long_to_bytes",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "Crypto.Util.py3compat.bord",
"line_number": 76,
"usage_type": "call"
... |
104085895 | import logging
import time
import os
from argparse import ArgumentParser
import baseline
from torch.nn.parallel import DistributedDataParallel
from torch.utils.data import DataLoader
from eight_mile.utils import str2bool, write_json, Average, get_num_gpus_multiworker
from baseline.pytorch.embeddings import *
import bas... | null | api-examples/pretrain_tlm_pytorch.py | pretrain_tlm_pytorch.py | py | 15,972 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "eight_mile.utils.str2bool",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "e... |
150339982 | from dateutil.relativedelta import relativedelta
from dateutil.parser import parse as ParseDate
from rest_framework.response import Response
from rest_framework.authentication import TokenAuthentication
from rest_framework.permissions import IsAuthenticated
# from rest_framework.renderers import JSONRenderer
from rest_... | null | app/mitaba/tracker/views.py | views.py | py | 10,265 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "rest_framework_bulk.ListBulkCreateUpdateDestroyAPIView",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "rest_framework.authentication.TokenAuthentication",
"line_number": 31,
... |
77416649 | import argparse
import concurrent.futures
import logging
import os
from PIL import Image
from glob import glob
from tqdm import tqdm
from utils import init_logging, get_arguments
logger = logging.getLogger(__name__)
def get_script_arguments():
parser = argparse.ArgumentParser(description='Detect the faces on ma... | null | processing/resize_images_mt.py | resize_images_mt.py | py | 2,581 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "utils.get_arguments",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Ima... |
136223673 | from django.http import HttpResponse
from user import ResultUtil
from . import utils
# from config import baseUrl
import config
import os
import pymysql
# 文件上传
def uploadfile_anti_electricity_theft(request):
if request.method == "POST": # 请求方法为POST时，进行处理
myFile = request.FILES.get("myfile", None) # 获取上传... | null | andti_electricity_theft/views.py | views.py | py | 5,531 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "config.baseUrl",
... |
541201204 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jan 20 15:56:01 2020
@author: lds
"""
import torch
import torch.nn as nn
from .Layers import Concat_Separable_Conv2d, Separable_Conv2d, Conv2d, Squeeze
from functools import partial
class GoogLeNetv3(nn.Module):
def __init__(self, num_classes, mod... | null | models/GoogLeNetv3.py | GoogLeNetv3.py | py | 6,846 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
333707384 | from django.core.exceptions import ObjectDoesNotExist
from extras.plugins import PluginTemplateExtension
from .utilities import get_rack_power_utilization
class DevicePDUStatus(PluginTemplateExtension):
model = "dcim.device"
def left_page(self):
device = self.context["object"]
try:
... | null | axians_netbox_pdu/template_content.py | template_content.py | py | 2,010 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "extras.plugins.PluginTemplateExtension",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.core.exceptions.ObjectDoesNotExist",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "extras.plugins.PluginTemplateExtension",
"line_number": 22,
... |
327818263 | #!/usr/bin/env python-devops
# -*- coding: utf-8 -*-
# @File : check-consul-health-02.py
# @Author: Anthony.waa
# @Date : 2019/3/13 0013
# @Desc : PyCharm
from absl import flags
from absl import app
import consul
import requests
import urllib
import json
headers = {
'Connection': 'close'
}
FLAGS = flags.FLAGS
... | null | python/20190719/python-consul/check-consul-health-02.py | check-consul-health-02.py | py | 3,236 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "absl.flags.FLAGS",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "absl.flags",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "absl.flags.DEFINE_string",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "absl.flags"... |
584484168 |
import numpy as np
import cv2 as cv
## Webcam capture and setting
def nothing(x):
pass
# To adjust HSV values and find Pixel Metric
cap = cv.VideoCapture(0)
camWidth = cap.get(3)
camHeight = cap.get(4)
cap.set(10,50)
fps = cap.get(cv.CAP_PROP_FPS)
camWidth = int(camWidth)
camHeight = int(camHeight)
midWidth = ... | null | Main Application/ImgCalibration.py | ImgCalibration.py | py | 2,774 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FPS",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cv2.namedWindow",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.createTrac... |
151121948 | from sklearn.base import BaseEstimator, ClassifierMixin
from sklearn.utils.validation import check_X_y, check_array, check_is_fitted
from sklearn.utils.multiclass import check_classification_targets
from sklearn.utils.multiclass import unique_labels
from sklearn.metrics.pairwise import manhattan_distances
import numpy ... | null | method.py | method.py | py | 1,072 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sklearn.base.ClassifierMixin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sklearn.utils.validation.check_X_y",
"line_number": 15,
"usage_type": "call"
},
... |
96995652 | # -*- coding:utf-8 -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
STOP_RENDERING = runtime.STOP_RENDERING
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 10
_modified_time = 1466012407.534062
_enable_loop = True
_template_filename = 'C:/Data/chf_postgresql/homepage/styles... | null | homepage/styles/.cached_templates/index.cssm.py | index.cssm.py | py | 1,114 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mako.runtime.UNDEFINED",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "mako.runtime",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "mako.runtime.STOP_RENDERING",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name":... |
184734591 | import csv
import sqlite3
conn=sqlite3.connect('stations.sqlite')
with open('init.sql') as f:
conn.executescript(f.read())
with open ('content.csv', 'r',encoding="utf-8-sig") as f:#去除開頭碼(\uxxxx)!
reader = csv.reader(f)
columns = next(reader)
cur = conn.cursor()
for data in reader:
data=[f"'{... | null | init_db.py | init_db.py | py | 823 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 14,
"usage_type": "call"
}
] |
144801924 | from flask import Flask, render_template, jsonify, request
from random import randint
from helpers import *
import requests
app = Flask(__name__)
BASE_API_URL = 'http://numbersapi.com/'
@app.route("/")
def homepage():
"""Show homepage."""
return render_template("index.html")
@app.route("/api/get-lucky-num"... | null | lucky-nums/app.py | app.py | py | 735 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
101851889 | #!/usr/bin/env python
from setuptools import setup
classifiers = ["Development Status :: 4 - Beta",
"Environment :: Plugins",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Topic :: Software Development :: Testing"]
... | null | setup.py | setup.py | py | 954 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 10,
"usage_type": "call"
}
] |
190691507 | # coding: utf-8
from sqlalchemy import CHAR, Column, DateTime, Float, String, Table, Text, text
from sqlalchemy.dialects.mysql import BIGINT, INTEGER, LONGTEXT, TINYINT
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
metadata = Base.metadata
t_active_tasks = Table(
'active_tasks... | null | sandbox/test_sql/models_mod_akrr_v2.py | models_mod_akrr_v2.py | py | 8,965 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 12,
"usage_type": "call"
},
{
"api... |
391117673 | import boto3
import pytest
import sure # noqa # pylint: disable=unused-import
from botocore.client import ClientError
from moto import mock_s3control
@mock_s3control
def test_create_access_point():
client = boto3.client("s3control", region_name="eu-west-1")
resp = client.create_access_point(
Account... | null | tests/test_s3control/test_s3control_access_points.py | test_s3control_access_points.py | py | 3,980 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto3.client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "moto.mock_s3control",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "boto3.client",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"lin... |
608790470 | """
Really mocky and pure unit tests of the grader.py file
"""
import json
import subprocess
from unittest.mock import MagicMock, Mock, patch, mock_open
from unittest import TestCase
from constants import TESTS_FOLDER_NAME, GRADER_COMPILE_FAILURE, PYTHON_TIMEOUT_SECONDS, PYTHON_FILE_EXTENSION, PYTHON_RUN_COMMAND
from ... | null | deadline_/challenges/tests/test_grader.py | test_grader.py | py | 22,882 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.mock.Mock",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "challenges.grader.BaseGrader.FILE_EXTENSION",
"line_number": 29,
"usage_type": "attribute"
},
{
... |
225640577 | """
This file contains methods for calculating the probability of a tuplewise ranking
and the information provided by a tuple query. Relevant references describing
in detail these procedures and the requisite assumptions are found in Sections 3.1 and 3.2.
"""
import numpy as np
from random import shuffle... | null | body_metrics.py | body_metrics.py | py | 9,141 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.choice",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "math.factorial",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
... |
409034442 | from staffapp import views
from django.conf.urls import url
app_name='staffapp'
urlpatterns=[
url(r'^$', views.staff, name="staff"),
url(r'^addstaff/$', views.addstaff, name="addstaff"),
url(r'^appotiment/$', views.appotiment, name="appotiment"),
url(r'^staffview/$', views.staffview, name="staffview")... | null | staffapp/urls.py | urls.py | py | 627 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "staffapp.views.staff",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "staffapp.views",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.con... |
607714698 | import re
import os.path
import collections
from datetime import datetime
import urllib.request
URL_PATH = 'https://s3.amazonaws.com/tcmg476/http_access_log'
LOCAL_FILE = 'local_copy.txt'
FILE_REQS="file_reqs.txt"
if not os.path.exists(LOCAL_FILE):
print("Downloading file: ")
urllib.request.urlret... | null | project-no-3.py | project-no-3.py | py | 4,359 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "urllib.request.request.... |
99471631 | from requests import get
url1='https://www.amazon.in/s?k=motherboard&qid=1573042660&ref=sr_pg_1'
#url2='https://www.amazon.in/s?k=motherboard&page=2&qid=1573042752&ref=sr_pg_2'
#url1='https://www.amazon.in/ASUS-EX-A320M-Gaming-AMD-Motherboard/dp/B0771L77V7/ref=sr_1_3?keywords=motherboard&qid=1573042791&sr=8-3'
respons... | null | amazonpricelist.py | amazonpricelist.py | py | 561 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
}
] |
438017999 | import argparse
import logging
import os
from datetime import datetime
import sys
from time import sleep
def tail(f, lines=20):
total_lines_wanted = lines
BLOCK_SIZE = 1024
f.seek(0, 2)
block_end_byte = f.tell()
lines_to_go = total_lines_wanted
block_number = -1
blocks = [] # blocks of siz... | null | bf-arb-pylab/scripts/file-polling.py | file-polling.py | py | 1,705 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "argpars... |
222348656 | import requests
channel_id = "UCqPqH09CdRfQKxhB2aJhDVA"
key = "ENTER YT API KEY"
def getData():
try:
url = f"https://www.googleapis.com/youtube/v3/channels?part=statistics&id={channel_id}&key={key}"
rawData = requests.get(url).json()
data = rawData['items'][0]['statistics']['subscriberCoun... | null | utils/API.py | API.py | py | 387 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
}
] |
537501873 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# bitFlyer / Coincheck がこの数値％以上となったら bitFlyer BTC売り、Coincheck BTC買い
SellbitFlyer_BuyCC_Percentage = 1
# bitFlyer / Coincheck がこの数値％以下となったら bitFlyer BTC買い、Coincheck BTC売り
BuybitFlyer_SellCC_Percentage = -1
# １回に取引するBTCの最大枚数
Max_BTC_Trade_Amount = 0.1
# １トレード後に開ける間隔 [秒]
... | null | btcCC-BF.py | btcCC-BF.py | py | 7,375 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pybitflyer.API",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number... |
22209023 | # Third Party Stuff
from rest_framework.routers import DefaultRouter
from rest_framework_nested import routers
# milife-back Stuff
from milife_back.base.api.routers import SingletonRouter
from milife_back.users.api import CurrentUserViewSet, UsersViewSet, UserCountViewSet, CoachesViewSet
from milife_back.users.auth.ap... | null | milife_back/api_urls.py | api_urls.py | py | 4,328 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "milife_back.base.api.routers.SingletonRouter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rest_framework_bulk.routes.BulkRouter",
"line_number": 22,
... |
486162270 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from matplotlib import style
from mpl_toolkits.mplot3d import Axes3D
style.use('ggplot')
fig = plt.figure()
# ax1 = fig.add_subplot()
# ax2 = fig.add_subplot()
# ax3 = fig.add_subplot()
# ax4 = fig.add_subplot()
df_poro = pd.read_table(filepath_... | null | plots_206.py | plots_206.py | py | 2,806 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.style.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotli... |
527188326 | import subprocess
import re
import datetime
import telegram
import config
def get_contacts():
today = datetime.datetime.today()
tomorrow = today + datetime.timedelta(days=1)
output = subprocess.check_output([
"gcalcli",
"agenda",
today.strftime("%m/%d/%Y"),
tomorrow.strftim... | null | utils.py | utils.py | py | 805 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.today",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "subpr... |
343069625 | from django.contrib import admin
from django.urls import path
from django.conf.urls import url, include
from Login import views
urlpatterns = [
url(r'^main', views.mainpage, name='Main Page'),
url('^search/sname.html', views.name, name='Search by name'),
url(r'^search/scourse.html', views.course,... | null | urls.py | urls.py | py | 720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "Login.views.mainpage",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "Login.views",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.conf.u... |
79763400 | from time import sleep
import threading
from serial import SerialException, Serial
from datetime import datetime
import pytz
from Utils.Logger import print
class SerialThread(threading.Thread):
def __init__(self, _buadrates, _dataqueue, _timequeue):
threading.Thread.__init__(self)
self.dataQueue =... | null | Structure/SerialThread.py | SerialThread.py | py | 1,455 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "... |
45785962 | import matplotlib.pyplot as plt
import pylab
import numpy as np
def makeData():
X = np.arange(-40, 25, 0.1)
Y = np.arange(-30, 15, 0.1)
X, Y = np.meshgrid(X, Y)
Z = X**4 + 20.*(X**3) + 2*(X**2)*(Y**2) + 36*(X**2)*Y + 312*(X**2)+ 20*X*(Y**2) + 360*X*Y + 2121*X + Y**4+ 36*(Y**3)+ 537*(Y**2) + 3... | null | linur.py | linur.py | py | 1,180 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pylab.figure",
"line_number... |
291620944 | from dataclasses import dataclass, field
from typing import Dict, List, Optional
from datetime import datetime
from sqlalchemy.sql.sqltypes import Enum
from .main import ArticleContainer, ContentType
@dataclass
class YoutubeVideoCategory:
etag: str
id: str
title: str
assignable: bool
@classmetho... | null | k11/models/youtube.py | youtube.py | py | 5,506 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.sql.sqltypes.Enum",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "datetim... |
572865580 | import django_tables2 as tables
from django.urls import reverse
from django.contrib.admin.utils import quote
from django.utils.html import format_html
from booking.models import (
Quote, QuoteService, QuotePaxVariant,
Booking, BookingService, BookingPax)
from booking.constants import QUOTESERVICE_TYPES, BOOKIN... | null | booking/tables.py | tables.py | py | 3,090 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django_tables2.Table",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "booking.models.Quote",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.utils.html.format_html",
"line_number": 19,
"usage_type": "call"
},
{
"api_... |
137991701 | '''
Opacus experiments for all the models
'''
import time
import torch
from torch import nn, optim
import data
from experimental.privacy_utils import autograd_grad_sample
from experimental.privacy_utils.privacy_engine import EfficientPrivacyEngine
from pytorch import get_data, model_dict
import utils
def main(args)... | null | fast_torch_dp.py | fast_torch_dp.py | py | 3,254 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.backends",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pytorch.model_dict.copy",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytorch.model_dict",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pytorc... |
19445612 |
from typing import List
import math
import copy
import random
TRIALS = 10
def find_two_missing(arr: List[int], N: int) -> List[int]:
# print(f"Array of len {len(arr)} is {arr}")
all_sum = sum(range(1, N+1))
all_quad_sum = sum(i**2 for i in range(1, N+1))
real_sum = sum(arr)
real_quad_sum = sum(... | null | chapter_17/p17_19.py | p17_19.py | py | 1,147 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "math.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_numbe... |
405866176 | """
gui_handler class
"""
import sys
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QMessageBox
if __name__ == '__main__':
print("INFO: gui_handler class import as '__main__'")
import gui
from createeut import create_eut_handler
else:
print("INFO: gui_handler class import as '__module__'")... | null | taff_v1/gui/gui_handler.py | gui_handler.py | py | 4,512 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "gui.gui.Ui_Form",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "gui.gui"... |
385998670 | #!/usr/bin/env python
from numpy import array
import argparse
from argparse import RawTextHelpFormatter
import ml_lib.parse as ml_parse
import ml_lib.evaluation as ml_eval
import ml_lib.machine_learning as ml
def interface():
args = argparse.ArgumentParser(
formatter_class=RawTextHelpFormatter,
des... | null | machine_learning.py | machine_learning.py | py | 2,898 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.RawTextHelpFormatter",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ml_lib.machine_learning.get_test_sets",
"line_number": 37,
"usage_type": "call"
}... |
538362097 | import sys
sys.path.append('.')
import pudb as db
import Leetcode.utils as ut
from solution import Solution
tests = [
[
[ ['o','a','a','n'],['e','t','a','e'],['i','h','k','r'],['i','f','l','v'] ],
['oath','pea','eat','rain'],
['oath', 'eat'],
],
[
[["a"]],
["a"],
... | null | Leetcode/word_search_ii/test.py | test.py | py | 767 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "solution.Solution",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_nu... |
229860543 | from sqlalchemy.orm import Session
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, ForeignKey, UniqueConstraint, event, DDL, Sequence
from sqlalchemy.types import String, Integer, Float
from chembl_release_utils.orm import create_engine_base
from chembl_release_utils.settings impo... | null | keyword_pipeline.py | keyword_pipeline.py | py | 6,106 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.DEBU... |
495979101 | from utils import sanitize
class DataverseFile(object):
def __init__(self, dataset, name, file_id=None):
self.dataset = dataset
self.name = sanitize(name)
self.id = file_id
self.download_url = 'http://{0}/api/access/datafile/{1}'.format(
dataset.connection.host, self.i... | null | dataverse/file.py | file.py | py | 673 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.sanitize",
"line_number": 7,
"usage_type": "call"
}
] |
79481298 | """
Adapted from SentEval/examples/bow.py
https://github.com/facebookresearch/SentEval/blob/master/examples/bow.py
"""
import sys
import io
import numpy as np
import argparse
import logging
from tools.Blogger import Blogger
logger = Blogger()
# Set PATHs
PATH_TO_SENTEVAL = "./SentEval"
PATH_TO_DATA = "./SentEval/data... | null | lib/examples/run-senteval.py | run-senteval.py | py | 4,030 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tools.Blogger.Blogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "io.open",
"li... |
356221111 | #!/usr/bin/python3
#https://github.com/FooSoft/anki-connect
from urllib.parse import urlencode
import requests
import json
import random
import re
import io
from wand.color import Color
from wand.image import Image
from wand.image import Font
import subprocess
anki_address = '192.168.0.115'
TAG_RE = re.compile(r'<[^>... | null | refresh.py | refresh.py | py | 3,147 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number":... |
29807227 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2015 jaidev <jaidev@newton>
#
# Distributed under terms of the MIT license.
"""
Ambiguity functions.
"""
import numpy as np
from tftb.utils import init_default_args
def narrow_band(signal, lag=None, n_fbins=None):
"""Narrow band amb... | null | tftb/processing/ambiguity.py | ambiguity.py | py | 1,772 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.arange",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "tftb.utils.init_default_args",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
... |
215590463 | from click.testing import CliRunner
from mock import MagicMock, patch
import bentoml
from bentoml.cli import create_bentoml_cli
from bentoml.utils.usage_stats import _get_bento_service_event_properties
from bentoml.yatai.proto.deployment_pb2 import (
DeleteDeploymentResponse,
Deployment,
)
from bentoml.yatai.s... | null | tests/utils/test_usage_stats.py | test_usage_stats.py | py | 6,523 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bentoml.yatai.proto.deployment_pb2.Deployment",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "bentoml.yatai.proto.deployment_pb2.DeleteDeploymentResponse",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "bentoml.yatai.status.Status.ABORTED",
... |
330223467 | import pygame, os
import game_module as gm
import random
os.environ['SDL_VIDEO_CENTERED'] = '1' # centrowanie okna
pygame.init()
## ustawienia ekranu i gry
screen = pygame.display.set_mode(gm.SIZESCREEN)
pygame.display.set_caption('Prosta gra platformowa...')
clock = pygame.time.Clock()
# klasa gracza
cl... | null | Gra Platformowa/gra.py | gra.py | py | 11,321 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display",
... |
482424615 | import cv2
import numpy as np
import config
HSV_MAX = config.HSV_MAX
YCRCB_MIN_1 = config.YCRCB_MIN_1
YCRCB_MAX_1 = config.YCRCB_MAX_1
YCRCB_MIN_2 = config.YCRCB_MIN_2
YCRCB_MAX_2 = config.YCRCB_MAX_2
def _segment_otsu(image_grayscale, img_BGR):
threshold_value, threshold_image = cv2.threshold(image_grayscale, 0... | null | integration/skin_tone_estimator.py | skin_tone_estimator.py | py | 1,733 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "config.HSV_MAX",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "config.YCRCB_MIN_1",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "config.YCRCB_MAX_1",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "conf... |
351223634 | import requests
import json
import argparse
import datetime
import re
# used for processing command line switches
def command_line_processor():
parser = argparse.ArgumentParser(description="Parse log file to forward data to Phantom. Can be run from the terminal or cron tab using the -a flag to provide an api key."... | null | scripts/log_forwarder.py | log_forwarder.py | py | 5,751 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
300636907 | import numpy as np
from scipy.spatial.distance import cdist
from pymoo.cython.decomposition import PenaltyBasedBoundaryIntersection, Tchebicheff
from pymoo.algorithms.genetic_algorithm import GeneticAlgorithm
from pymoo.docs import parse_doc_string
from pymoo.operators.crossover.simulated_binary_crossover import Simul... | null | pymoo/algorithms/moead.py | moead.py | py | 5,630 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymoo.algorithms.genetic_algorithm.GeneticAlgorithm",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pymoo.operators.default_operators.set_if_none",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pymoo.operators.default_operators.set_if_none",... |
224360549 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#==============================================================================
#
# This file is a part of Human Resource System of BQD Jinan Branch.
#
# File: HRSLib\apps\addr_book\search_tool.py
# Description: app of addr_book search tool.
# Author: Yu Zhao 赵宇 <zyzy5730@1... | null | HRSLib/apps/addr_book/search_tool.py | search_tool.py | py | 2,856 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wx.Panel",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "wx.Panel.__init__",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "wx.Panel",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "wx.BoxSizer",
"line... |
567580544 | from socket import *
from threading import Thread
import datetime as dt
serverPort = 8888
TCP_IP = "127.0.0.1"
serverSocket = socket(AF_INET,SOCK_STREAM)
serverSocket.bind((TCP_IP,serverPort))
serverSocket.listen(5)
print ("Running and Listening for Knocks")
buffer_size = 1024
threads = []
class ClientThread(Thread)... | null | HTTPServer/MultiThreaded.py | MultiThreaded.py | py | 2,419 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "datetime.... |
510264855 | # Python Script for Parsing the hauyi dataset
import os
import nltk
from sklearn.feature_extraction.text import CountVectorizer
from sklearn import metrics
import numpy as np
import bow
import classifiers
from sklearn.model_selection import train_test_split
DEBUG = False
'''Simple class to store metadata information... | null | detecting-fake-reviews/src/yelp.py | yelp.py | py | 6,842 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bow.bag_of_words",
"line_number": 151,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 153,
"usage_type": "call"
},
{
"api_name": "classifiers.logistic_regression",
"line_number": 155,
"usage_type": "call"
... |
73570633 | import numpy as np
import matplotlib.pyplot as plt
import glob
from collections import defaultdict
import matplotlib.ticker as ticker
# read the file for the number of edges
edges = defaultdict(list)
i = 0
with open('../output.txt','r') as f:
for line in f:
if i % 9 == 0:
filename = line.split(... | null | HW2/MST/src/running_time_analysis.py | running_time_analysis.py | py | 1,367 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplo... |
525514604 | # -*- coding: utf-8 -*-
# @Author ：180732677
# @Email : yinbao.bai@hytera.com
# @Time ：2020/6/19 16:54
# @ProjectName : mysite
# @FileName ：sparepart.py
# @Software ：PyCharm
from django.core.paginator import Paginator
from django.http import HttpResponse,JsonResponse,FileResponse
from django.ut... | null | myapp/sparepart.py | sparepart.py | py | 16,426 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymysql.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "openpyxl.compat.range",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "openpyxl... |
228122279 | import json
import torch
import os
import torchvision
from torchvision import transforms
from PIL import Image
import matplotlib.pyplot as plt
import torch.nn as nn
from model import densenet121
import numpy as np
def main():
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
data_transfo... | null | 2017_CVPR_DenseNet/code/predict.py | predict.py | py | 2,327 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torchvision.tran... |
639266898 | from django.test import TestCase
from .models import Lesson, Reference
# Create your tests here.
class LessonModelTests(TestCase):
def test_add_multiple_references(self):
'''
Ensure that lesson can contain multiple references
'''
L1 = Lesson(lesson_name = 'Lesson1')
L1.save()
L2 = Lesson(... | null | app/tests.py | tests.py | py | 834 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Lesson",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Lesson",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.Lesson",
"... |
516584852 | # $HeadURL: $
''' EmailAction
'''
from DIRAC import S_ERROR, S_OK, gConfig
from DIRAC.ResourceStatusSystem.PolicySystem.Actions.BaseAction import BaseAction
from DIRAC.ResourceStatusSystem.Utilities.InfoGetter import InfoGetter
__RCSID__ = '$Id: $'
c... | null | ResourceStatusSystem/PolicySystem/Actions/EmailAction.py | EmailAction.py | py | 4,066 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "DIRAC.ResourceStatusSystem.PolicySystem.Actions.BaseAction.BaseAction",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "DIRAC.S_ERROR",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "DIRAC.S_ERROR",
"line_number": 38,
"usage_type": "cal... |
488489394 | import gmail
import smtplib
import time
import sqlite3
import datetime
LOGIN = "abbrbot"
PASSWORD = "ilgiausiasslaptazodis"
BOT_EMAIL_ADDRESS = "abbrbot@gmail.com"
PATH_TO_SQLITE_DATABASE = "abbreviations.db"
DATABASE_CONNECTION = None
DATABASE_CURSOR = None
TIME_TO_SLEEP = 3
# TODO
# Sensitive info from .gitignor... | null | AbbrBot.py | AbbrBot.py | py | 6,286 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "gmail.login",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"l... |
512738277 | from absl import flags
import re
import numpy as np
import os
import csv
# import tensorflow as tf
import sentencepiece as spm
from data_utils import SEP_ID, CLS_ID
from prepro_utils import preprocess_text, encode_ids
FLAGS = flags.FLAGS
SEG_ID_A = 0
SEG_ID_CLS = 2
SEG_ID_SEP = 3
SEG_ID_PAD = 4
class InputExa... | null | ner_utils.py | ner_utils.py | py | 5,703 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "absl.flags.FLAGS",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "absl.flags",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "data_utils.SEP_ID",
"line_number": 101,
"usage_type": "argument"
},
{
"api_name": "data_utils.CL... |
496800760 |
import numpy as np
import matplotlib.pyplot as plt
x = [1,2,3,4]
y= [1,2,3,4]
xx, yy = np.meshgrid(x,y)
z = np.arange(0,16)
z = z.reshape(xx.shape)
print(xx)
print(yy)
print(z)
plt.contourf(xx,yy,z , 8)
C = plt.contour(xx , yy ,z, 8, colors = 'black', linewidth = 0.5)
plt.clabel(C, inline = True, fontsize = 10)
p... | null | codenote/matplot/plt_contourf.py | plt_contourf.py | py | 331 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.meshgrid",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.contourf",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
108330741 | import requests
import json
from time import sleep
url = "https://api.domination.earth/users/earth_lands/?latitude=24.909377&longitude=121.286854&tracking_id=0&placement_id=0"
header = {
"Accept": "application/json",
"Authorization": "Token f021a316cc607130385fc74ed49410d57a6d3f54",
"User-Agent": "Mozilla/5.0 (Linux; ... | null | surronding.py | surronding.py | py | 1,606 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 21,
"usage_type": "call"
}
] |
48430422 | # Please cite the following paper when using the code
import os
import glob
import csv
import pandas as pd
import numpy as np
import Names
import Data
from imblearn.over_sampling import RandomOverSampler
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import LeaveOneOut
class DataPr... | null | gwu/accepted/flairs_2020/arc/code/python/DataPreprocessing.py | DataPreprocessing.py | py | 19,391 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_... |
422356870 | import pytest
from tibs import parser, type_inference
from tibs.ast_node import (
EMPTY_TENSOR_TYPE_AST_NODE,
PrintStatementASTNode,
ComparisonExpressionASTNode,
ExpressionASTNode,
TensorTypeASTNode,
VectorExpressionASTNode,
FunctionDefinitionASTNode,
ForLoopASTNode,
WhileLoopASTNod... | null | static_autodiff/tibs/tests/test_front_end_function_call.py | test_front_end_function_call.py | py | 10,517 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tibs.ast_node.FunctionCallExpressionASTNode",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "tibs.ast_node.FunctionDefinitionASTNode",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "tibs.ast_node.TensorTypeASTNode",
"line_number": 56,
... |
525068664 | #!/usr/bin/python
# coding=UTF-8
import os
from lib.inifile_operator import IniFileOperator
from lib.mysql_operator import MysqlOperator
import lib.common_functions as common
import lib.utility as utility
class NotifgwProcess(object):
@utility.trace_func
def __init__(self, rootpath, name, category_id, common... | null | model/notifgw_process.py | notifgw_process.py | py | 3,265 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.utility.trace_func",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "lib.utility",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
113033412 | from django.urls import path
from . import views
app_name = 'comments'
urlpatterns = [
# comment/
path('add/<int:post_id>/', views.comment_add_view, name='add_comment'),
path('delete/<int:comment_id>/', views.comment_delete_view, name='delete_comment'),
path('log/', views.comment_log_view, name='comme... | null | social_media_project/comments/urls.py | urls.py | py | 337 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
}
] |
474415482 | """
Database module
See http://flask.pocoo.org/docs/0.12/patterns/sqlalchemy/
"""
from .cala import app
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
from sqlalchemy.ext.declarative import declarative_base
engine = create_engine('sqlite:///%s' % app.config['DATABASE']... | null | cala/database.py | database.py | py | 2,008 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cala.app.config",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cala.app",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.orm... |
1046262 | from __future__ import print_function
import argparse
from typing import Optional
from typing import Sequence
from pre_commit_hooks.util import run_gradle_task
from pre_commit_hooks.util import run_gradle_wrapper_task
def main(argv=None): # type: (Optional[Sequence[str]]) -> int
parser = argparse.ArgumentParse... | null | pre_commit_hooks/gradle_build.py | gradle_build.py | py | 878 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pre_commit_hooks.util.run_gradle_wrapper_task",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pre_commit_hooks.util.run_gradle_task",
"line_number": 26,
"usage_t... |
68884172 | # Example-53.py
#!/usr/bin/env python3
import sys
import libvirt
from xml.dom import minidom
domName = 'CentOS7'
conn = None
try:
conn = libvirt.open("qemu:///system")
except libvirt.libvirtError as e:
print(repr(e), file=sys.stderr)
exit(1)
dom = None
try:
dom = conn.lookupByName(domName)
except lib... | null | en-US/extras/Domains-Example-53.py | Domains-Example-53.py | py | 549 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "libvirt.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "libvirt.libvirtError",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "libvirt.libvir... |
129980007 | import math
import numpy as np
import json
import ast
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader, Dataset
from torch.utils.tensorboard import SummaryWriter
from torchvision import transforms
import Config
from AlexNet import AlexNet
from Datase... | null | CategoricalBaseLine/WeightedLoss/Train.py | Train.py | py | 7,234 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Dataset.DataPrefetcher",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "Utils.MeanManager",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.double",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "Config.che... |
370385986 | """
Policy Gradient, Reinforcement Learning.
The MountainCar Example
"""
import gym
from ppo3 import PPO
# env = gym.make('MountainCar-v0')
# env = gym.make('CartPole-v0')
env = gym.make('Pendulum-v0')
# env = gym.make('BipedalWalker-v2')
env.seed(1) # reproducible, general Policy gradient has high variance
env ... | null | contents/12_Proximal_Policy_Optimization/MountainCar.py | MountainCar.py | py | 1,390 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.make",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ppo3.PPO",
"line_number": 27,
"usage_type": "call"
}
] |
44586677 | import numpy as np
from scipy.linalg import eigh
from ...utils import knn, l21_norm, matrix_norm
class UDFS(object):
"""
Performs the Unsupervised Discriminative Feature Selection algorithm.
Parameters
----------
p : int
Number of features to select.
c : int, o... | null | ITMO_FS/filters/sparse/UDFS.py | UDFS.py | py | 4,626 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 90,
... |
578434984 | from openpyxl import load_workbook
wb = load_workbook("sample.xlsx")
ws = wb.active
#ws.insert_rows(8) #8 번째 줄 비움
#ws.insert_rows(8,5) # 8에 5줄 추가
ws.insert_cols(2) #2 열 비우기
#ws.insert_cols(2,5) #2 열로부터 5칸 비우기.
wb.save("sample_insert_cols.xlsx") | null | rpa_basic/1_excel/7_insert.py | 7_insert.py | py | 288 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 2,
"usage_type": "call"
}
] |
98099380 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.contrib.auth.models
import django.utils.timezone
from django.conf import settings
import django.core.validators
class Migration(migrations.Migration):
dependencies = [
('auth', '0006_re... | null | tarea3/tarea3/pfinalapi/migrations/0001_initial.py | 0001_initial.py | py | 9,383 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 18,
"usage_type": "call"
},
... |
252081691 | from datetime import datetime
from odoo import api, fields, models
from odoo.exceptions import ValidationError, RedirectWarning
class HrPayslipEmployees(models.TransientModel):
_inherit = 'hr.payslip.employees'
account_analytic_account_id = fields.Many2one('account.analytic.account', 'Centro de costo')
... | null | l10n_cl_hr_payroll/wizard/hr_payslip_employees.py | hr_payslip_employees.py | py | 3,023 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "odoo.models.TransientModel",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many2one",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "odoo.fi... |
474226685 | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import torch
try:
# This works in PyTorch 1.7+
from torch.fft import irfft, rfft
except ModuleNotFoundError:
# This works in PyTorch 1.6
def rfft(input, n=None):
if n is not None:
m = input.size(-1)... | null | pyro/ops/fft.py | fft.py | py | 848 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.functional.pad",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.view_as_complex",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.rff... |
173803673 | # Работа с datetime
import datetime, locale
locale.setlocale(locale.LC_ALL, "russian")
today = datetime.date.today()
today.strftime('%A %d %B %Y')
day_delta = datetime.timedelta(days=1)
month_delta = datetime.timedelta(days=30)
yestreday = today - day_delta
month_ago = today - month_delta
print("Сегодня: {}".format... | null | task_datetime.py | task_datetime.py | py | 1,067 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "locale.setlocale",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "locale.LC_ALL",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "datetime.date.today",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.date",
... |
362996561 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 24 23:09:33 2017
@author: meiyi
"""
from scipy.sparse import hstack,coo_matrix
from sklearn.preprocessing import MinMaxScaler
train_w2v_q1 = np.load(path_feature+'train_q1_w2v_google.pkl')
train_w2v_q1 = pd.DataFrame(train_w2v_q1,columns=['q1_' +... | null | untitled0.py | untitled0.py | py | 3,434 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 58,
... |
136036942 | import numpy as np
import cv2
import math
def p4(labels_in, database_in):
database_out = {}
labels = []
#find labels
for x in range(len(labels_in)):
for y in range(len(labels_in[0])):
if labels_in[x][y] != 0 and labels_in[x][y] not in labels:
newObject = {}
newObject['object_labe... | null | hw1/p4.py | p4.py | py | 4,105 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.atan2",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "math.fabs",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 52,
... |
224202066 | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 1 23:39:14 2020
@author: Henock
"""
import numpy as np
import cv2
frame = cv2.imread('ct.png')
# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# define range of red color in HSV
lower_red = np.array([0, 78, 100])
upper_red = np.array([341, 255, 255])... | null | DOC-test.py | DOC-test.py | py | 853 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"lin... |
540687376 | from ras.core.reporting.ReportParameters import ReportParameters
from reportlab.lib.units import inch
from reportlab.lib import colors
from reportlab.lib.enums import TA_RIGHT, TA_CENTER
class ReportDataClassCard:
def __init__(self,
name: str,
index_name: str='',
... | null | ravisual_data_parameters.py | ravisual_data_parameters.py | py | 30,155 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "reportlab.lib.enums.TA_RIGHT",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "ras.core.reporting.ReportParameters.ReportParameters.REFERENCE_TEXT_PERFORMANCE",
"line_number": 125,
"usage_type": "attribute"
},
{
"api_name": "ras.core.reporting.ReportParam... |
629061657 | #!/usr/bin/env python
# coding: utf-8
# In[8]:
get_ipython().system('pip install numpy')
get_ipython().system('pip install pandas')
get_ipython().system('pip install sklearn')
from html.parser import HTMLParser
import re, html
import matplotlib.pyplot as plt
import pandas as pd
# Declaring global list variables f... | null | assignment1_Personal.py | assignment1_Personal.py | py | 19,610 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "html.escape",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 49,
"us... |
97703787 | """
------------
C9300 DBGSYS
------------
"""
# Python
# ------
import logging
import sys
from collections import namedtuple
# Apollo
# ------
import apollo.libs.lib as aplib
# BU Specific
# -----------
import apollo.scripts.entsw.libs.cat.steps_catalyst as steps_catalyst
from .. import steps_nyquist
from .. import... | null | cat3/C9300/area_sequences/dbgsys.py | dbgsys.py | py | 4,714 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.modules",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamH... |
496014723 | from flask import Flask, render_template, request, jsonify, redirect
from dotenv import load_dotenv
import os, random
app = Flask(__name__)
# print(os.environ['SECRET'])
@app.route('/')
def hello():
return 'hello from app'
@app.route('/greeting')
def greeting():
return render_template('index.html', name='Sarah... | null | app.py | app.py | py | 1,096 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
648919258 | import string
import csv
from datetime import datetime, timedelta
from random import randint
import random
def write_to_csv(item_list, file_name):
with open(f'data/{file_name}.csv', mode='w') as csv_file:
writer = csv.DictWriter(
csv_file, fieldnames=item_list[0].keys(), quotechar='"', quoting=... | null | getting_started/toy_shop/generate_data.py | generate_data.py | py | 3,525 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.DictWriter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONNUMERIC",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
432635160 | #!/usr/bin/env python
import os
import sys
import imp
import json
import ssl
from datetime import date
import requests
import urllib2
import xmlrpclib
from pprint import pprint
__author__ = "John Dey"
__version__ = "2.0.1"
__date__ = "April 3, 2019"
__email__ = "jfdey@fredhutch.org"
"""Versioin 1.x create HTML outpu... | null | easy_annotate.py | easy_annotate.py | py | 8,638 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.basename",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
119012325 | #!/usr/bin/python
# Copyright: Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
... | null | plugins/modules/ipblock.py | ipblock.py | py | 9,758 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.search",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "ionoscloud.IPBlocksApi",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "ionoscloud.models.IpBlockProperties",
"line_number": 164,
"usage_type": "call"
},
{
"api_name"... |
128813198 | from __future__ import division, print_function
import numpy as np
from scipy.stats import norm
class SIR_agent_based_model:
"""
functions:
normal_alpha_syn_growth_region: growth of normal alpha-syn in regions
normal_alpha_syn_growth_edge: mobility patterns of normal alpha-syn in edges
... | null | PD_models.py | PD_models.py | py | 18,283 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "numpy.empty",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number":... |
131618716 | from importlib import import_module
###########
# METHODS #
###########
SHA = 'SHA'
_hash_methods = [SHA]
#########
# MODES #
#########
_cipher_modes = []
for method in _hash_methods:
method_name = '.'.join(('Crypter', 'Hash', method))
modes = getattr(import_module(method_name), '_modes')
_cipher_modes... | null | crypter/Hash/__init__.py | __init__.py | py | 334 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "importlib.import_module",
"line_number": 18,
"usage_type": "call"
}
] |
590118108 | # uncompyle6 version 3.7.4
# Python bytecode 2.5 (62131)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-i686/egg/simplesite/controllers/comment.py
# Compiled at: 2008-11-08 10:05:38
import logging
from pylons import request, response, session, tmp... | null | pycfiles/SimpleSite-0.3.0-py2.5/comment.py | comment.py | py | 4,096 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "formencode.Schema",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "formencode.validators.String",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": ... |
373672614 | from django.urls import include, path, reverse_lazy
from django.contrib.auth import views as auth_views
from .views import RegisterView, verify
app_name = 'accounts'
urlpatterns = [
path('login/', auth_views.LoginView.as_view(), name='login'),
path('logout/', auth_views.LogoutView.as_view(), name='logout'),
... | null | Proga/homework08-elevennote/src/accounts/urls.py | urls.py | py | 497 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.views.LoginView.as_view",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.views.LoginView",
"line_number": 8,
"usage_type": "attribu... |
296578729 | import read
import pandas as pd
import collections
if __name__ == "__main__":
data = read.load_data()
s = ""
for headline in data['headline']:
s += str(headline).lower()
s += " "
headlines_split = s.split()
c = collections.Counter(headlines_split)
top_100 = c.most_common(100)
print (top_100)
| null | count.py | count.py | py | 305 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "read.load_data",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 12,
"usage_type": "call"
}
] |
154498047 | from SPARQLWrapper import SPARQLWrapper, JSON
sparql = SPARQLWrapper("http://agrold.southgreen.fr/sparql")
sparql.setQuery("""
PREFIX uri:<http://www.southgreen.fr/agrold/resource/Zm00001d042213>
PREFIX agrold:<http://www.southgreen.fr/agrold/vocabulary/>
SELECT ?property ?hasValue ?isValueOf
WHERE {
{ uri:... | null | agrold-ver2/demo.py | demo.py | py | 713 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "SPARQLWrapper.SPARQLWrapper",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "SPARQLWrapper.JSON",
"line_number": 14,
"usage_type": "argument"
}
] |
372244264 | #用机器学习算法预测用户的性别
import numpy as np
import pandas as pd
import sklearn as sk
from matplotlib import pyplot as plt
from pymongo import MongoClient
from hupu.analisys.config import enviroment
from sklearn.linear_model import LogisticRegressionCV,LinearRegression, LogisticRegression
from sklearn.ensemble import RandomFore... | null | src/tasks/hupu/job/gender/1.0/predictGenderInc_v2_lstm.py | predictGenderInc_v2_lstm.py | py | 14,100 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "hupu.analisys.config.enviroment.MONGO_IP",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "hupu.analisys.config.enviroment",
"line_number": 38,
"usage_type": "nam... |
250934522 | import random
import numpy as np
import os
import cv2
import fitz
from tqdm import tqdm
from scipy.ndimage import filters
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
pdfmetrics.registerFont(TTFont('song','C:\\Users\\junbo\\De... | null | machine learning/Ocr/pdfgen.py | pdfgen.py | py | 4,323 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "reportlab.pdfbase.pdfmetrics.registerFont",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "reportlab.pdfbase.pdfmetrics",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "reportlab.pdfbase.ttfonts.TTFont",
"line_number": 11,
"usage_type"... |
353983084 | import numpy as np
import cv2
from getColourChannels import getColourChannels
def rgb2grays(input_image):
new_image=np.array(input_image)
c = getColourChannels(new_image)
new_image = np.empty((input_image.shape[0],input_image.shape[1],4), dtype=np.float32)
# converts an RGB into grayscale by us... | null | lab1/colourspace/rgbConversions.py | rgbConversions.py | py | 1,833 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "getColourChannels.getColourChannels",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.float3... |
260131319 | #! /usr/bin/env python
# coding=utf-8
####################################################
# Author : longbin
# Created date: 2018-04-15 13:54:34
####################################################
import os
import json
if os.path.dirname(__file__):
cur_dir = os.path.dirname(__file__) + '/'
else:
cur_di... | null | toolkit/bin/lk/dbinit.py | dbinit.py | py | 2,107 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
165694466 | import json
import unittest
from datetime import datetime
from cartolafc.models import Liga
from cartolafc.util import json_default
class ApiAttemptsTest(unittest.TestCase):
with open('tests/testdata/liga.json', 'rb') as f:
LIGA = f.read().decode('utf8')
def test_json_default_datetime(self):
... | null | tests/test_utils.py | test_utils.py | py | 759 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cartolafc.util.json_default",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "c... |
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