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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
158166100 | import webapp2
import os
import urllib
import sys
sys.path.append('../')
from models.Event import Event
from models.User import AppUser
from EventHandler import getString
from EventHandler import getDate
from EventHandler import getDateTime
from EventHandler import getInt
from google.appengine.ext import db
from googl... | null | handlers/PostEventHandler.py | PostEventHandler.py | py | 1,788 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "webapp2.RequestHandler",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "models.User.A... |
373373511 | __author__ = 'janak'
from django.views.generic import CreateView
from converse.forms import TweetForm
from utils.global_actions import GlobalConstants
from loginmgmt.user_helper import UserHelperMixin
from utils.log_helper import init_logger
from django.http import HttpResponse
from django.core import serializers
log... | null | converse/views/create_tweet.py | create_tweet.py | py | 1,284 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.log_helper.init_logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.views.generic.CreateView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "loginmgmt.user_helper.UserHelperMixin",
"line_number": 15,
"usage_type": "na... |
298639260 |
# x is the input layer
# y_hat is the output layer
# W is the weights
# b is the
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
def sigmoid(x):
return 1.0/(1+ np.exp(-x))
def sigmoid_derivative(x):
return x * (1.0 - x)
class NeuralNetwork:
def __init__(self, x, y):
se... | null | neural.py | neural.py | py | 2,959 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.exp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.rand",
... |
537396534 | import plotly.express as px
import numpy as np
import csv
def plotFigure(data_path):
with open(data_path) as f:
df = csv.DictReader(f)
fig = px.scatter(df, x="Days Present", y="Marks In Percentage")
fig.show()
def getDataSource(data_path):
days_present = []
marks_in_per... | null | marksVSdays.py | marksVSdays.py | py | 992 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.DictReader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "plotly.express.scatter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "plotly.express",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "csv.DictReader",
... |
297075367 |
# AWS SDK for Python
import boto3
# MongoDB access string
mongo = ('mongodb+srv://'
'UserName:'
'X9xX9xX9xX9xX9xX9xX9'
'@cluster0-r4vye.mongodb.net/test'
'?retryWrites=true&w=majority'
)
# AWS S3 storage instance with credentials
s3 = boto3.client('s3',
region_name='us... | null | local/Lambda/harvest-lambda/creds.py | creds.py | py | 862 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto3.client",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 21,
"usage_type": "call"
}
] |
61114444 | # -*- coding: utf-8 -*-
#!/usr/bin/python
from django.core.management.base import NoArgsCommand
from django.db import connection
from vietnam.models import Listing
from lxml.html import fromstring
from vietnam.core.utils import replace_non_letter, strip_accents
def dictfetchall(cursor):
"Returns all rows from a c... | null | vietnam/management/commands/add_listing.py | add_listing.py | py | 4,470 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.management.base.NoArgsCommand",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "django.db.connection.cursor",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "django.db.connection",
"line_number": 55,
"usage_type": "name"
},... |
378374116 | import discord, asyncio, os, random, time, json, requests
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from datetime import datetime
from discord.ext import commands, tasks
from bs4 import BeautifulSoup
token = os.environ.get('AuthToken')
client = commands.Bot(command_prefix = '.')
## Useful... | null | mainbot.py | mainbot.py | py | 5,151 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.ext.comm... |
290561932 | from flask import Flask
import os
import socket
import logging
import check_sents
app = Flask(__name__)
@app.route("/")
def hello():
html = "<h3>Hello {name}!</h3>" \
"<b>Hostname:</b> {hostname}<br/>"
return html.format(name=os.getenv("NAME", "world"),
hostname=socket.ge... | null | server.py | server.py | py | 746 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "check_sents.fix_sentence",
... |
389318014 | from django.shortcuts import render
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
from rest_framework.renderers import JSONRenderer
from rest_framework.parsers import JSONParser
from app.models import Order, Cargo, Customer
from app.serializers import OrderSerializer, Custome... | null | delivery/app/views.py | views.py | py | 2,686 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "rest_framework.renderers.JSONRenderer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "app.models.Order.objects.all",
"line_number": 25,
"usage_type": "call"
}... |
557628654 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from blueslip.enums import SLIP, ESCAPED
from blueslip.decoding import REPLACE, INVALID, unescape
from . import TRIPLE_INT8UN
def test_matching_escaped_passes(encoded_packet: bytes):
"""
Test encoded packet to find all escaped values.
:param ... | null | tests/unit/test_decoding.py | test_decoding.py | py | 2,768 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "blueslip.decoding.REPLACE.findall",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "blueslip.decoding.REPLACE",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "blueslip.decoding.INVALID.search",
"line_number": 33,
"usage_type": "call"
... |
135790978 | from django.contrib import admin
# Register your models here.
from cars.models import Car
# 显示内容
class CarAdmin(admin.ModelAdmin):
list_display = ('car_number', 'break_cause', 'break_time', 'punish_way', 'acceptance') # 显示的内容
ordering = ('break_time',) # 是一个元组 ('no',)升序 / ('-no',) 降序
search_fields = ... | null | LHP/carsys/cars/admin.py | admin.py | py | 424 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site.register",
"line_number": 17,
"usage_type": "call"
},... |
307534244 | from django.urls import path
from .views import *
urlpatterns = [
# path('admin/', admin, name='admin'),
path('', index, name='home'),
path('home/', Home, name='home'),
path('success/', success, name='Success'),
path('failure/', failure, name='Failure'),
]
# url(r'^admin/', include(admin.site.... | null | PaymentGateway/urls.py | urls.py | py | 408 | python | en | code | null | code-starcoder2 | 76 | [
{
"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",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
327571777 | from .common import addProperty
from nnasm import resource_array, abc_atom, kernel_call
import math
import pyopencl.clrandom
import pyopencl as cl
import numpy as np
@addProperty('manager','shape','size','weights','weights_accum','update_schedule','decay_schedule','build_complete', 'init_mean', 'init_sigma', 'resour... | null | Axono/TrainedWeights.py | TrainedWeights.py | py | 6,910 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.sqrt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "nnasm.resource_array",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "nnasm.resource_arra... |
405237904 | from django.conf.urls import patterns, url
urlpatterns = patterns('',
# This url will show the home page
url(r'^home/$', 'yaasapp.views.home'),
# This url will redirect to the home page and will sort the table data according to the sort type passed
url(r'... | null | YAAS/yaasapp/urls.py | urls.py | py | 2,813 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "djan... |
437010784 | import webapp2
import os
import jinja2
import hmac
template_dir = os.path.join(os.path.dirname(__file__),'templates')
jinja_env=jinja2.Environment(loader=jinja2.FileSystemLoader(template_dir),autoescape = True)
def hash_str(s):
return hmac.new('secret',s).hexdigest()
def make_secure_val(s):
return "%s|%s"%(s,hash... | null | ajax1/cookie.py | cookie.py | py | 1,282 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"line... |
600097575 | import numpy as np
from scipy.spatial.transform import Rotation as R
from config.draco3_config import WalkingConfig, WalkingState
from pnc.state_machine import StateMachine
from pnc.planner.locomotion.dcm_planner.footstep import Footstep
from pnc.draco3_pnc.draco3_state_provider import Draco3StateProvider
class Cont... | null | pnc/draco3_pnc/draco3_state_machine/contact_transition_end.py | contact_transition_end.py | py | 3,564 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pnc.state_machine.StateMachine",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pnc.draco3_pnc.draco3_state_provider.Draco3StateProvider",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pnc.planner.locomotion.dcm_planner.footstep.Footstep.RIGH... |
286718964 | # Given list of integers that contain numbers in random order,
# write a program to find the longest possible sub sequence of consecutive numbers in the array.
# Return this subsequence in sorted order. The solution must take O(n) time
# For e.g. given the list 5, 4, 7, 10, 1, 3, 55, 2, the output should be 1, 2, 3, 4... | null | excercise/longest_consecutive_subsequnces.py | longest_consecutive_subsequnces.py | py | 6,230 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 54,
"usage_type": "call"
}
] |
95660079 | #!/usr/bin/env python
"""
Evaluate linker performance.
"""
import json
from data import MATCHES, Reader
METRICS = [
'tp',
'fp',
'fn',
'precision',
'recall',
'fscore',
]
def tab_format(data, num_fmt='{:.3f}', delimiter='\t'):
lines = [delimiter.join([i[:6] for i in METRICS] + ['match'])]
... | null | conll03_nel_eval/evaluate.py | evaluate.py | py | 3,967 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "data.MATCHES",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "data.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "data.Reader",
"line_number": 54,... |
480380282 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 14 14:23:30 2019
@author: mitja
"""
import numpy as np
import healpy as hp
import matplotlib.pyplot as plt
from astropy.time import Time
#import sys
import credentials as cr
import psycopg2
from pylab import *
class AlertPipe:
def __init_... | null | pipeline.py | pipeline.py | py | 29,916 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "numpy.radians",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 81... |
557797800 | #!/usr/bin/env python3
import argparse
import random
import rsa_common as rc
def test():
#p,q = rc.getCoPrimes(minimum=4000)
p,q = rc.getCoPrimes(minimum=0, maximum=10)
print('p=%s q=%s' % (p,q))
N = p*q
print('N=%s' % N)
phi = (p-1)*(q-1)
print('phi=%s' % phi)
# e is coprime with ... | null | extras/C960/rsa.py | rsa.py | py | 4,054 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rsa_common.getCoPrimes",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rsa_common.findCoPrimes",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rsa_comm... |
636016685 | # Copyright (c) 2016 App Annie Inc. All rights reserved.
import json
from nose.plugins.attrib import attr
from tests.schema_check.constants import constants
from tests.schema_check.apis.apiv12.api_v12_objects import \
GetUserNewsFeedDetailAPI
from tests.schema_check.base import BaseAPITestCase
from tests.schema_... | null | tests/schema_check/cases/apiv12/test_user_news_feed_detail_api.py | test_user_news_feed_detail_api.py | py | 1,417 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tests.schema_check.base.BaseAPITestCase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "tests.schema_check.mixins.smoke_user_mixin.SmokeUserMixin",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "tests.schema_check.constants.constants.SCHEMAS"... |
609416648 | """
Script Name : scs_ingestion_main.py
Description : Code to transfer SCS data to S3
Author : Yogesh Sharma
Version : 2.0
Last Modified Date : 18/09/18
Config File : scs_ingestion_main.yaml
"""
import logging
import datetime as dt
from airflow import DAG
from airflow.contri... | null | SCSCPO/scs_ingestion_main.py | scs_ingestion_main.py | py | 8,452 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "kyber.utils.adsales_job_config.JobConfig.get_config",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "kyber.utils.adsales_job_config.JobConfig",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 22,
"usage_typ... |
136300511 | from subprocess import check_output
from collections import OrderedDict
from joblib import Parallel, delayed
from triform.config.genomes import create_genome_size_dict
def bed_to_chromosome_dfs(bed_file, args):
chromosomes = create_genome_size_dict(args.genome)
text_dfs = Parallel(n_jobs=args.number_cores... | null | triform/preprocess/bed_to_chromosome_dfs.py | bed_to_chromosome_dfs.py | py | 810 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "triform.config.genomes.create_genome_size_dict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "joblib.Parallel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "joblib.delayed",
"line_number": 14,
"usage_type": "call"
},
{
"api... |
124078284 |
import unittest
import os
import sys
import re
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver import Chrome
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support import expected_c... | null | spec/feature/chrome_spec.py | chrome_spec.py | py | 2,389 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdri... |
303013568 | import subprocess, os
import pdb
import pysam
import pickle
import numpy as np
from Bio import SeqIO
from diploidModel import diploidModel
def SNPCall(bamFile,refFile,workDir,flag='naive'):
if flag=='bcf':
variantFile=bcfCallSNP(bamFile,refFile,workDir)
stats=SNPStats(variantFile)
fileName=... | null | SNPCall.py | SNPCall.py | py | 3,285 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.dump",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pysam.AlignmentFile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO.to_dict",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"li... |
478703343 | # -*- coding: utf-8 -*-
# created by inhzus
import logging
import os
import sys
from logging.handlers import TimedRotatingFileHandler
class PackagePathFilter(logging.Filter):
def filter(self, record):
pathname = record.pathname
record.relative_path = None
abs_sys_paths = map(os.path.abspa... | null | berater/utils/log.py | log.py | py | 1,308 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.Filter",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.sep",
"line_num... |
40916490 | """
Author: Do Tieu Thien
Date: 25/1/2018
"""
"""-----------------------------------------------------------------------------
IMPORT
-----------------------------------------------------------------------------"""
import os
import cv2
import numpy as np
from PIL import Image
"""-------------------------------------... | null | func/get_images_and_ids.py | get_images_and_ids.py | py | 2,108 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"lin... |
34735334 | from django.urls import path
from . import views
app_name = 'books'
urlpatterns = [
path('', views.IndexView.as_view(), name='index'),
path('book/<int:pk>/', views.DetailView.as_view(), name='detail'),
path('book/new/', views.new_book, name='new_book'),
path('book/<int:book_id>/delete', views.delete_bo... | null | books/urls.py | urls.py | py | 680 | python | en | code | null | code-starcoder2 | 76 | [
{
"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",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
633655395 | from collections import Counter
def sales_by_match(n, arr):
"""There is a large pile of socks that must be paired by color.
Given an array of integers representing the color of each sock,
determine how many pairs of socks with matching colors there are."""
socks = dict(Counter(arr))
pairs = 0
... | null | interview_preparation_kit/warm_up.py | warm_up.py | py | 1,668 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 27,
"usage_type": "call"
}
] |
227381734 | """CLI and helper functions"""
import re
import readline
import click
def check_integer_input(value, min_value, max_value):
"""Converts and checks if the integer from the click prompt is in the given range"""
try:
value = int(value)
except ValueError:
raise click.BadParameter(f"{value} i... | null | musicreviews/helpers.py | helpers.py | py | 1,607 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "click.BadParameter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "click.BadParameter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "readline.parse_and_bin... |
82115538 | """
Visualize the results calculated by a given model on an image.
"""
import matplotlib.pyplot as plt
import numpy as np
import torch
import torch.nn as nn
import torch.utils.data as data
from dataset import ImageAndKeypointDataset
from model import KeypointPredictionModel
DATA_PATH = './data/generated/'
MODEL_FILE ... | null | Training_model/visualize.py | visualize.py | py | 1,814 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.utils.data",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "model.eval",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.no_grad... |
574893286 | from scipy import signal
import matplotlib.pyplot as plt
import numpy as np
def apply_hearing_loss_sim(x, fs, channels=[0, 1]):
b, a = signal.butter(4, 1170.0/(fs/2.), 'low')
if len(x.shape) < 2:
x = x[:, np.newaxis]
for channel in channels:
x[:, channel] = signal.filtfilt(b, a, x[:, channe... | null | hearing_loss_sim.py | hearing_loss_sim.py | py | 370 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.signal.butter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.signal",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.newaxis",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "scipy.signal.filtfil... |
623451072 | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the niceman package for the
# copyright and license terms.
#
# ## ### ##... | null | niceman/distributions/piputils.py | piputils.py | py | 6,558 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "niceman.utils.execute_command_batch",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "re.MULTILINE",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "iter... |
647317898 | """ Note-related APIs. """
import os
from flask import request, jsonify, g
from sqlalchemy.exc import ProgrammingError
from app import db
from app.models import *
from app.schemas import *
from app.util.core import *
from app.util.data import *
from app.util.perm import auth_required
@register_view("/notes")
class No... | null | app/views/note.py | note.py | py | 2,671 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.jsonify",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.g.user",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.exc.ProgrammingErr... |
501245658 | from os import path
import glob
import pandas
import numpy
from sqlalchemy import create_engine
from sqlalchemy.sql import select, text
from sqlalchemy.schema import CreateSchema, DropSchema
ENGINE = create_engine('postgresql://postgres@localhost:5433/pdcms')
AUDIT_DIR = path.dirname(path.realpath(__file__))
def load... | null | audit/setup.py | setup.py | py | 3,572 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.realpath",
... |
9920638 | from setuptools import setup, find_packages
packages = find_packages()
setup(
name="carta-work-tests",
version="0.1",
packages=packages,
package_data={k: ["*.csv", "*.yml", "*.html"] for k in packages},
scripts=[],
entry_points={},
)
| null | setup.py | setup.py | py | 259 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.find_packages",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 4,
"usage_type": "call"
}
] |
627722688 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 25 14:46:12 2017
@author: Sanyu
"""
# project2 part3
import numpy as np
import pandas as pd
import seaborn as sn
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
# In[]
homeprice = pd.read_csv("C:\Anaconda\home_pric... | null | Part3 Project2.py | Part3 Project2.py | py | 6,702 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.PolynomialFeatures",
"line_number": 46,
"usage_type": "call"
}... |
290948888 | import csv
import cv2
import numpy as np
lines = []
with open('.\data\driving_log.csv') as cf:
reader = csv.reader(cf)
for line in reader:
lines.append(line)
images = []
measurments = []
for line in lines:
source_path = line[0]
filename = source_path.split('\\')[-1]
current_path = '.\da... | null | model.py | model.py | py | 1,930 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_UNCHANGED",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"lin... |
255908694 | from flask import Flask, render_template, redirect, url_for, request, session, flash, g
from flask.ext.sqlalchemy import SQLAlchemy
from flask.ext.bcrypt import Bcrypt
from functools import wraps
from forms import LoginForm, RegisterForm
import random
# import sqlite3
app = Flask(__name__)
bcrypt = Bcrypt(app)
import... | null | app.py | app.py | py | 4,183 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.ext.bcrypt.Bcrypt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.ext.sqlalchemy.SQLAlchemy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "fl... |
496891909 | # Copyright (c) 2015 Hewlett-Packard Development Company, L.P.
#
# 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/licenses/LICENSE-2.0
#
# Unless required by applica... | null | pidgeyclient/shell.py | shell.py | py | 10,277 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "cliff.app.App",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "pidgeyclient.version.ver... |
450197920 | #coding:utf-8
import urllib.request, urllib.error,sys
from urllib.parse import quote
import xmltodict #install xmltodict
import json
url = "http://yapi.ta2o.net/maseli/index.rss"
def get_info_ATS():
try:
html = urllib.request.urlopen(url)
xml = html.read().decode('utf-8')
dict ... | null | checkATS.py | checkATS.py | py | 1,486 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_nam... |
437198473 | # univariate multi-step vector-output stacked lstm example
import numpy as np
import matplotlib.pyplot as plt
from pandas import read_csv
import math
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics impor... | null | kube/lstm/OLD/lstm-perc.py | lstm-perc.py | py | 6,707 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.percentile",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "keras... |
513639931 | from selenium.webdriver import Firefox
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.support import expected_conditions as expected
from selenium.webdriver.support.wait import WebDriverWait
from ... | null | scrap_tokopedia.py | scrap_tokopedia.py | py | 2,416 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.wait.WebDriverWait",
"line_number": 14,
... |
63072231 | import logging
import requests
import time
import pebbles.utils
class PBInstanceLogHandler(logging.Handler):
"""
Custom log handler which uploads provisioning logs through ReST interface.
Could be replaced with HTTPHandler from standard library's logging package once it
supports HTTPS and authenticat... | null | pebbles/logger.py | logger.py | py | 1,481 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.Handler",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.Handler.__init__",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.Handler",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "peb... |
67966230 | import sys, logging, traceback
from appstatus import datehandler
from database import dbconnection
from appstatus import envvariables
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
logging.basicConfig()
class MainWindow():
''' just some class '''
def __init__(self, appStatus, dbConnection):
... | null | mc-desktop/mc-desktop.py | mc-desktop.py | py | 1,149 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "database.dbconn... |
553579219 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
__author__ = 'kmu'
"""
Retrieve data from netcdf files from thredds.met.no and do some statistics.
"""
import ipdb
#import matplotlib
#matplotlib.use('Agg')
#import matplotlib.pyplot as plt
import numpy as np
import netCDF... | null | Test/thredds_stats.py | thredds_stats.py | py | 3,525 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_numbe... |
354521829 | import pytest
from django.utils.safestring import SafeString, mark_safe
from grandchallenge.pages.substitutions import Substitution
from tests.factories import PageFactory
@pytest.mark.parametrize(
"tag_name,content,inp,out",
[
("foo", "bar", "{% foo %}", "bar"),
("fo-o", "bar", "{% fo-o %}",... | null | app/tests/pages_tests/test_substitutions.py | test_substitutions.py | py | 2,247 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "grandchallenge.pages.substitutions.Substitution",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 8,
"usage_type": "attribute"
},
{... |
418579062 | import json
import logging
import pytest
import shakedown
import tempfile
import sdk_cmd
import sdk_install
import sdk_jobs
import sdk_plan
import sdk_security
import sdk_utils
from security import transport_encryption
from tests import config
log = logging.getLogger(__name__)
@pytest.fixture(scope='module')
def ... | null | frameworks/cassandra/tests/test_toggle_tls.py | test_toggle_tls.py | py | 6,890 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tests.config.SERVICE_NAME",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "tests.config",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "sdk_sec... |
377333649 | """
1. Get folder name with trained embeddings from sys argv
2. Loop over embedding files
3. For each embedding file do
4. For each emotion file: RemoveId, Embeddings, Reorder, Save to meaningful name
5. Get all featurevectors and train SVM on them, average per embedding file (for all 4 emotions)
6. write results to fi... | null | python_scripts/test_embeddings.py | test_embeddings.py | py | 5,742 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
478586499 | import logging
import weakref
import pkg_resources
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
from PyQt5 import QtWidgets, QtCore, QtGui
from ...core.instrument.instrument import Instrument
from ...core.services.interpreter import Interpreter
from ...core.services.accounting import Accountin... | null | cct/qtgui/mainwindow/mainwindow.py | mainwindow.py | py | 18,110 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "Py... |
5610773 | from django.shortcuts import render
from django.contrib.auth.models import Group
from django.db.models import Count
from .models import Census, Weights
from auth_system.models import MyUser
from judge.models import ChoiceProblem, DuchengProblem, Problem, ClassName, MyHomework
from django.utils import timezone
from djan... | null | trunk/onlineTest/census/views.py | views.py | py | 1,419 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "auth_system.models.MyUser.objects.annotate",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "auth_system.models.MyUser.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "auth_system.models.MyUser",
"line_number": 13,
"usage_t... |
565371094 | import logging
from logging.handlers import QueueHandler, QueueListener
from logging.config import dictConfig
import os
import subprocess
import multiprocessing as mp
import json
from datetime import datetime
import time
import warnings
from skeleton_synapses.constants import PROJECT_ROOT
from skeleton_synapses.helper... | null | skeleton_synapses/helpers/logging_ss.py | logging_ss.py | py | 3,865 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.NOTSET",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
314814047 | from django.db import models
from django.shortcuts import resolve_url as r
from sispos.accounts.models import User
from uuid import uuid4
from private_files import PrivateFileField
SEMESTER_1 = 'Primeiro semestre'
SEMESTER_2 = 'Segundo semestre'
SEMESTER_3 = 'Terceriro semestre'
SEMESTER_4 = 'Quarto semestre'
SEMESTE... | null | sispos/relatorios/models.py | models.py | py | 2,376 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 45,
"usage_type": "call"
},
{
"api_name"... |
556954067 | from selenium.webdriver import Chrome
from selenium.webdriver.support.select import Select
import time
import pytest
@pytest.fixture()
def environment_setup():
global driver
path = "C:/DdriveData/downloads/chromedriver_win32/chromedriver.exe"
driver = Chrome(executable_path=path)
driver.get("http://www... | null | pytest code/test_HandlingMultiwindows.py | test_HandlingMultiwindows.py | py | 1,437 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 28,
"usage_type": "call"
}
] |
544390188 | import config
import pytest
import helpers
from art.unittest_lib.common import testflow
import rhevmtests.storage.helpers as storage_helpers
from art.rhevm_api.tests_lib.low_level import (
storagedomains as ll_sd,
hosts as ll_hosts,
jobs as ll_jobs,
vms as ll_vms
)
from rhevmtests.storage.fixtures imp... | null | art/tests/rhevmtests/storage/storage_mixed_types_dc/fixtures.py | fixtures.py | py | 3,901 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "art.rhevm_api.tests_lib.low_level.storagedomains.getStorageDomainNamesForType",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "art.rhevm_api.tests_lib.low_level.storagedomains",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "config.DATA_CENTER... |
370566823 | #!/usr/bin/env python
"""
Script Header
$Id: US23814
Copyright (c) 2016-2017 Cisco Systems, Inc.
Name:
cmCC23814_3pcc_BS_IOT_Interop_69_Connected_Line_Restriction_
After_Call_Forward.py
Purpose:
This test case demonstrates the ability of the DUT to update the caller ID
display based on the calle... | null | common/IOT/Broadsoft_Interop/section_6/cc_basic/cmCC23814_3pcc_BS_IOT_Interop_69_Connected_Line_Restriction_After_Call_Forward.py | cmCC23814_3pcc_BS_IOT_Interop_69_Connected_Line_Restriction_After_Call_Forward.py | py | 11,799 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "tng_sl.contrib.setup_helper.SetupHelpersTestCase",
"line_number": 107,
"usage_type": "name"
},
{
"api_name": "tng.api",
"line_number": 107,
"usage_type": "attribute"
},
{
... |
352661914 | #!/user/bin/env python
import serial
import csv
import os
import time
port = '/dev/ttyACM0'
ser = serial.Serial(port, 9600)
ser.flushInput()
with open('ColdFlowTest6.csv', mode="w") as csv_file:
csv_writer = csv.writer(csv_file, delimiter=",", quotechar='"', quoting=csv.QUOTE_MINIMAL)
csv_writer.writerow("[Co... | null | GSE/Load_Cell/serialToCSV.py | serialToCSV.py | py | 781 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "serial.Serial",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_MINIMAL",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.fsync",
"line_n... |
327079654 | import re
import torch
import torchtext
import torchtext.data
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from utils.model import CNN
from utils.data import DataIterator
from utils.utils import clean_text
from captum.attr import LayerIntegratedGradients, TokenReferenceBase
from captum.att... | null | server/model.py | model.py | py | 12,327 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.data.DataIterator",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "captum.attr.TokenReferenceBase",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cap... |
412534916 | import time
import io
import threading
try: # Para ser usado no raspberry pi
import picamera
class Camera(object):
thread = None # background thread that reads frames from camera
frame = None # current frame is stored here by background thread
last_access = 0 # time of last client access to ... | null | camera_pi.py | camera_pi.py | py | 2,160 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "picamera.PiCamera",
"line_n... |
211576808 | import requests
import re
import random
import json
import base64
import cv2
import time
from Crypto.Cipher import DES
from xiaohongshu_check import Check
def encrypt(key, text):
"""
DES 加密
:param key: 密钥, 长度必须为 16(AES-128)、24(AES-192)、32(AES-256) Bytes 长度
:param text: 密文
:return:
"""
enc... | null | shumei/shumei_passed.py | shumei_passed.py | py | 8,219 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Crypto.Cipher.DES.new",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "Crypto.Cipher.DES",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "Crypto.Cipher.DES.MODE_ECB",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name"... |
529777246 | """OlaApi URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.8/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-base... | null | OlaAPI/OlaApi/OlaApi/urls.py | urls.py | py | 1,076 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "d... |
575361071 | from sklearn import feature_extraction
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
corpus = ['... '
'...'
'... ' #数据集
]
vectorizer = CountVectorizer()
X = vectorizer.fit_transform(corpus)
# 获取词袋模型中的所有词... | null | src3/TF-IDF.py | TF-IDF.py | py | 682 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfTransformer",
"line_number": 22,
"usage_type": "call"
}
] |
26151729 | #!/usr/bin/env python3
import random
import colors as c
class Dice():
"""
Dice
Creates a new die
`sides`:
How many sides the die has
`dice`:
The amount of dice you want to roll
`ascii`:
The ascii art you want to display to represent the number rolled
"""
def __... | null | dice.py | dice.py | py | 679 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.randrange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "colors.rc",
"line_number": 29,
"usage_type": "call"
}
] |
534809108 | from django.db import models
from account.models import MyUser
class Category(models.Model):
slug = models.CharField(max_length=100, primary_key=True)
name = models.CharField(max_length=150, unique=True)
def __str__(self):
return self.name
class Post(models.Model):
CHOICES = (
('in... | null | PycharmProjects/OwnRest/main/models.py | models.py | py | 1,753 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "... |
522806333 | #!/usr/bin/env python3
#
import sys, os, argparse, datetime, subprocess, textwrap, shutil, signal
import fnmatch
usage_desc = textwrap.dedent("""
traverse and remove all sub-dirs named as 'build' from the given root dir
""")
class VersionError(Exception):
def __init__(self, value):
self.val... | null | basic_/path_/traverse_demo.py | traverse_demo.py | py | 1,441 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "textwrap.dedent",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
... |
232651800 | import xlrd
Lh = [] #Lh file as dictionary
book = xlrd.open_workbook('Lh.xlsx')
sh = book.sheet_by_index(0)
first_row = []
for cx in range(sh.ncols):
first_row.append(sh.cell_value(0,cx))
for rx in range(1, sh.nrows): # sh.nrows for all of it
LhEntry = {}
for cx in range (0, sh.ncols):
LhEntry[firs... | null | LhDictionary.py | LhDictionary.py | py | 407 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 3,
"usage_type": "call"
}
] |
291568447 | from utils.delay import delay
from utils.raises import raises
from utils.html_dec import bold, italic, underline
@bold
@italic
@delay
@raises(FileNotFoundError)
def print_styled(styling_string):
return styling_string + 2
print(print_styled("coffin_dance_meme.webm"))
| null | python/module4/main.py | main.py | py | 277 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.html_dec.bold",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "utils.html_dec.italic",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "utils.delay.delay",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "utils.raises... |
294630200 | import os
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.chrome.options import Options
from datetime import date
import json
# CSS Variables
ok_button_css_list = [
"#root > div > div > div.app-mainContainer--3CJGG > div > main > div.layout > di... | null | crossword_scraper.py | crossword_scraper.py | py | 6,141 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.common.exceptions.NoSuchElementException",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "selenium.common.exceptions.NoSuchElementException",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 123,
... |
62440726 | import os
from datetime import datetime
from logging import getLogger
from time import time
import copy
from random import random
from collections import namedtuple
import numpy as np
from lockfile.mkdirlockfile import MkdirLockFile
from reversi_zero.agent.player import SelfPlayer
from reversi_zero.config import Config... | null | src/reversi_zero/worker/self_play.py | self_play.py | py | 5,759 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rever... |
556109648 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('schedule', '0014_auto_20170724_0944'),
]
operations = [
migrations.AlterField(
... | null | schedule/migrations/0015_auto_20170724_0949.py | 0015_auto_20170724_0949.py | py | 523 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
447026038 | # -*- coding: utf-8 -*-
#from distutils.core import setup
from setuptools import setup
def readme():
with open('README.md') as f:
return f.read()
try:
import pypandoc
long_description = pypandoc.convert('README.md', 'rst')
except(IOError, ImportError):
long_description = open('README.md').rea... | null | setup.py | setup.py | py | 1,604 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pypandoc.convert",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 17,
"usage_type": "call"
}
] |
450335087 | #!/usr/bin/env python3.7
import aiostream
import asyncio
import rospy
import rostest
import sys
import unittest
from aiorospy import AsyncActionClient
from actionlib import ActionServer, GoalStatus
from actionlib.msg import TestAction, TestGoal, TestFeedback, TestResult
from threading import Event
class TestActionCl... | null | aiorospy/tests/test_action_client.py | test_action_client.py | py | 3,574 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rospy.init_node",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "actionlib.ActionServer",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "actionl... |
227415271 | from collections import defaultdict
import math
test = 0
if test == 1:
inp = "../../test/04-input.txt"
model = "../../test/04-model.txt"
else:
data = "../../data/wiki-ja-train.word"
model = "model_file.txt"
inp = "../../data/wiki-ja-test.word"
def modeling_unigram(file1, file2):
tot_cnt = 0
... | null | kondo/tutorial03/tutorial03.py | tutorial03.py | py | 2,573 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 54,
"usage_type": "call"
}
] |
141566581 | import datetime
import uuid
from mongoengine import Document, StringField, UUIDField
from django.conf import settings
from crits.core.crits_mongoengine import CritsSchemaDocument, CritsBaseAttributes
from crits.core.crits_mongoengine import CritsDocument, CritsSourceDocument
from crits.core.user_tools import user_sou... | null | crits/events/event.py | event.py | py | 10,436 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "crits.core.crits_mongoengine.CritsBaseAttributes",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "crits.core.crits_mongoengine.CritsSourceDocument",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "mongoengine.Document",
"line_number": 26,
... |
540528891 | """ Auxiliary functions for development test suite.
"""
# standard library
import logging
import socket
import shutil
import glob
import os
import sys
# subproject library
import modules.clsMail
''' Logging.
'''
def start_logging():
""" Start logging of performance.
"""
logging.captureWarnings(True)
... | null | testing/random/modules/auxiliary.py | auxiliary.py | py | 2,798 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.captureWarnings",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.F... |
599732766 | # -*- coding: UTF-8 -*-
import psycopg2
import re
import sys
import tldextract
from datetime import datetime
from threading import Thread
from queue import Queue
from logger import logger
import os
# db_name: lb, template0, certwatch, postgres, template1 (SELECT datname FROM pg_database)
# table_name: sel... | null | dataset/get_fulldomain/get_fulldomain/crtsh.py | crtsh.py | py | 7,765 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "psycopg2.connect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logger.logger.info",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "logger.logger",
"... |
174311893 | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 16 15:37:34 2017
#TF image Test
@author: xuan.xia@siat.ac.cn
"""
# -*- coding: utf-8 -*-
#import modules
import tensorflow as tf
import numpy as np
import os
import cv2
import sys
SignalType = sys.argv[1]
DataPath = sys.argv[2]
ModlePath = sys.argv[3]... | null | Test.py | Test.py | py | 2,001 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.uint32",
"line_nu... |
45341597 | import tushare
import tushare as ts
import datetime
import csv
import re
tickersRawData = tushare.get_stock_basics()
tickers = tickersRawData.index.tolist()
dateToday = datetime.datetime.today().strftime('%Y-%m-%d')
file = 'D:\\Users\\Administrator\\Anaconda3'+dateToday+'.csv'
tickersRawData.to_csv(file)
# 此处去掉st和新的... | null | handle_stock/old_version/function_popups/GetPoint80Tickers.py | GetPoint80Tickers.py | py | 4,926 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tushare.get_stock_basics",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "... |
418967248 | # -*- coding: utf-8 -*-
import numpy as np
from scipy.stats import chi2
# Goodness of Fit: Uniform Distribution Test (Frecuencial)
# Pearson (Chi Squared) approach
def goodness_fit_test(array):
alpha_critic = 0.05 # Signification level for Critic Region validation
n_total ... | null | TP2.1/tests.py | tests.py | py | 5,920 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.stats.chi2.interval",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scipy.stats.chi2",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "numpy.array",
... |
60615510 | #!/usr/bin/env python
from spt3g import core, dfmux, gcp
import socket, argparse, os
parser = argparse.ArgumentParser(description='Record dfmux data to disk')
parser.add_argument('hardware_map', metavar='/path/to/hwm', help='Path to hardware map directory')
parser.add_argument('output', metavar='/path/to/files/file-%... | null | scratch/nwhitehorn/onlinescripts-sptpol/record_bolodata.py | record_bolodata.py | py | 2,064 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pywtl.common.DFML.HWM.HardwareMap.HardwareMap",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pywtl.common.DFML.HWM.HardwareMap",
"line_number": 18,
"usage_type":... |
364835552 | import os
import json
import numpy as np
import pandas as pd
from sklearn.metrics import confusion_matrix
from Persistance.team_repository import get_teams
from sklearn.ensemble import RandomForestClassifier
from Persistance.player_repository import get_player_name
from Services.csv_service import create_csv_file_for_p... | null | Classifiers/Game_by_game/random_forest.py | random_forest.py | py | 5,665 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "Services.timestamp.start_timestamp",
"line_number": 37,
"usage_t... |
43990961 | import torch
import torch.nn as nn
import torch.nn.functional as F
class CapsuleLoss(nn.Module):
def __init__(self):
'''
Constructs a CapsuleLoss module
'''
super(CapsuleLoss, self).__init__()
self.reconstruction_loss = nn.MSELoss(reduction='sum') # cumulativ... | null | src/loss.py | loss.py | py | 1,737 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.MSELoss",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
276539910 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Commune',
fields=[
('id', models.AutoField(verb... | null | base/migrations/0001_initial.py | 0001_initial.py | py | 4,655 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 13,
"usage_type": "call"
},
... |
301708940 | from glob import glob
import pandas as pd
import numpy as np
from scipy.stats import linregress
def rmse(datasets):
"""
Return the RMSE of each of the datasets.
>>> datasets = {k:pd.read_csv('data/dataset_%d.csv' % k) for k in range(7)}
>>> out = rmse(datasets)
>>> len(out) == 7
True
... | null | discussions/08/disc08.py | disc08.py | py | 1,555 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.stats.linregress",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"lin... |
486611901 | from .classes import Cave, Player
from .control import parse_command, Action
INSTRUCTIONS = """
Blah blah blah
something something cave something something wumpus something
bats room pits etc etc
20 rooms connect in a dodecahedron yada yada yada
"""
print("welcome to pywump")
if not input("would you like instruction... | null | pywump/__main__.py | __main__.py | py | 896 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "classes.Cave.construct_random",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "classes.Cave",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "control.parse_command",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cont... |
262638343 | import bs4
import lxml
from bs4 import BeautifulSoup
import requests
import string
import codecs
import json
def main():
# Этап 1 - с каждой из 502 страниц считываем все ссылки на статьи -> записываем в текстовый файл
news_url_list = []
for i in range(1, 502):
r = requests.get(url =... | null | first_progect/Pars.py | Pars.py | py | 2,867 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
648091560 | # -*- coding: utf-8 -*-
'''
Created on 18/09/2013
@author: Roberto Guimarães Morati Junior
'''
from django.conf.urls import patterns, url
from core.views import TipoObjetoUpdateView, TipoObjetoCreateView, TipoObjetoListView, TipoObjetoDeleteView, TipoObjetoGetJsonView,\
CondicaoAtivaCreateView
from core.views impo... | null | Editores/editor_objetos/urls.py | urls.py | py | 8,532 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 37,
"usage_type": "call"
},
{
"... |
586933001 | '''
from:
https://wiki.fysik.dtu.dk/gpaw/tutorials/gw_tutorial/gw_tutorial.html
'''
from ase.build import bulk
from gpaw import GPAW, FermiDirac
from gpaw.wavefunctions.pw import PW
a = 3.567
atoms = bulk('C', 'diamond', a=a)
calc = GPAW(
mode=PW(300), # energy cutoff for plane wave basis (in eV)
kpts={... | null | t4/diamond.py | diamond.py | py | 649 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ase.build.bulk",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gpaw.GPAW",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gpaw.wavefunctions.pw.PW",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "gpaw.FermiDirac",
... |
601121643 | """
Time complexity: O(M + N) Where M is the length of S and N is the length of T
Space complexity: O(N) we use auxillary hashmap of size N where N is the length of T
Compiled on leetcode?: Yes
Difficulties faced?: No
"""
from collections import Counter
class Solution:
def customSortString(self, S: str, T: str) -> ... | null | customSortString.py | customSortString.py | py | 954 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 10,
"usage_type": "call"
}
] |
322154576 | import argparse
import asyncio
from matryoshka_tester.data import containers
from matryoshka_tester.helpers import get_selected_runtime
from prettytable import PrettyTable
# Do real stuff
async def pull_container(url):
"""Pulls the container given in url with docker CLI"""
runtime = get_selected_runtime()... | null | matryoshka_tester/cmds.py | cmds.py | py | 1,693 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matryoshka_tester.helpers.get_selected_runtime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "asyncio.create_subprocess_shell",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "asyncio.subprocess",
"line_number": 18,
"usage_type": "att... |
587682369 | from transformers import AutoTokenizer
"""
Using the tokenizer from the transformer (Huggingface) framework
"""
TurnGPT_TOKENS = {
"pad_token": "<|endoftext|>",
"additional_special_tokens": [
"<speaker1>",
"<speaker2>",
],
}
TurnGPT_EOT_TOKENS = {
"pad_token": "<|endoftext|>",
"a... | null | ttd/tokenizer.py | tokenizer.py | py | 1,590 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 57,
"usage_type": "name"
}
] |
633960191 | # iCraft is Copyright 2010-2011 both
#
# The Archives team:
# <Adam Guy> adam@adam-guy.com AKA "Adam01"
# <Andrew Godwin> andrew@aeracode.org AKA "Aera"
# <Dylan Lukes> lukes.dylan@gmail.com AKA "revenant"
# <Gareth Coles> colesgareth2@hotmai... | null | core/plugins/grieferdetector.py | grieferdetector.py | py | 4,126 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "core.plugins.ProtocolPlugin",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_n... |
601645765 | # -*- coding: utf-8 -*-
#-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-#
"""
Раскадровщик. Ест видео и выдает раскадровку на листах A4 или что там указано в settings.ini.
date started 2018.11.26
last updated ... | null | raskadrovschik.py | raskadrovschik.py | py | 17,152 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.split",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 113,
"usage_type": "attribute"
},
{
"api_name": "errno.ENOENT",
"line_numbe... |
258093818 | from math import e
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.metrics import r2_score, accuracy_score
from sklearn.linear_model import LinearRegression, SGDRegressor, RidgeCV, SGDClassifier, RidgeClassifier
from sklearn.preprocessing import LabelEncoder
from sklearn.neighbors import... | null | modeler/modeler.py | modeler.py | py | 7,424 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.GridSearchCV",
"line_number": 52,
"usage_type": "call"
},
{
"api_name":... |
208984019 | import random
from base64 import b64decode
from io import BytesIO
import pytest
from PIL import Image as PILImage
from django.conf import settings
from django.http import Http404
from grandchallenge.retina_api.serializers import B64ImageSerializer
from tests.cases_tests.factories import (
ImageFactoryWithImageFil... | null | app/tests/retina_api_tests/test_serializers.py | test_serializers.py | py | 2,563 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tests.cases_tests.factories.ImageFactoryWithoutImageFile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "grandchallenge.retina_api.serializers.B64ImageSerializer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_numbe... |
99150347 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
dt = pd.read_csv("hours.csv")
X= dt['hrs']
y= dt['risk']
regressor = LinearRegression()
regressor.fit(X,y)
print("Accuracy : ", str(regressor.score(X, y) * 100))
y_pred=regressor.predict([[10]])
p... | null | 1.Linear-Regression/ln.py | ln.py | py | 674 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 20,
"usage_type": "call"
},
{
"api_n... |
518552011 | from django import forms
from personal.models import Comment, File, Post
from taggit.forms import TagWidget
class CommentForm(forms.ModelForm):
class Meta:
model = Comment
fields = ['body']
widgets = {
'body': forms.Textarea(attrs={'placeholder': 'Comment...'}),
}
class... | null | personal/forms.py | forms.py | py | 1,362 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "personal.models.Comment",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.... |
462653756 | #!/usr/bin/env python
import itertools
import serial, os, re
from serial.tools import list_ports
import _winreg as winreg
from Logger import Logger
class COMMngr():
def __init__(self):
self._windowsRegistry = 'HARDWARE\\DEVICEMAP\\SERIALCOMM'
def getAllPorts(self):
ports = []
... | null | COMMngr.py | COMMngr.py | py | 1,108 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.name",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "_winreg.OpenKey",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "_winreg.HKEY_LOCAL_MACHINE",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "Logger.L... |
21499624 | import cv2
cascade_src = 'cars.xml'
video_src = 'video1.avi'
cam = cv2.VideoCapture(video_src)
cars_cascade = cv2.CascadeClassifier(cascade_src)
while True:
ret, img = cam.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cars = cars_cascade.detectMultiScale(gray, 1.1, 1)
for (x, y, w, h) in cars:... | null | haar_cascade/cars_detection/cars_detection.py | cars_detection.py | py | 477 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY"... |
114990655 | import grokcore.component as grok
from xml.sax.saxutils import escape
from zope.app.form.interfaces import IInputWidget, IDisplayWidget
from zope.publisher.interfaces.browser import IBrowserRequest
from zope.app.form.browser import TextWidget, DisplayWidget
from zope import component
from zope.component.interfaces imp... | null | z3c.relationfieldui/trunk/src/z3c/relationfieldui/widget.py | widget.py | py | 3,049 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "hurry.resource.Library",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "hurry.resource.ResourceInclusion",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "grokcore.component.MultiAdapter",
"line_number": 23,
"usage_type": "attribute"
... |
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