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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
429762600 | from matplotlib import pyplot as plt
import json
import os
from filters import kalman
kalmanR = 0.008
kalmanQ = 1.0
final_readings_dir = os.getcwd() + "/final-readings/"
f = open(os.path.join(final_readings_dir, "myReading_7_18.json"),"r")
data = json.load(f)
f.close()
save_path = os.getcwd() + "/Graphs/rssi_vs_sam... | null | BTP/Library/WKNN/rssi_vs_sampling_times_graph.py | rssi_vs_sampling_times_graph.py | py | 1,337 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 11,... |
451882327 | #! /usr/bin/python
# coding=utf-8
# author: zhouyou
"""
desc: time封装类
"""
import datetime
import time
class SfTime(object):
"""
desc: time封装类
"""
@staticmethod
def transform_date2datetime(o_date):
"""
将date对象转化为datetime对象
"""
str_time = o_date.strftime("%Y%m%d")
... | null | src/lib/time_utils.py | time_utils.py | py | 3,192 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "datetime.date.today",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": ... |
426120922 | import sys
from PyQt5 import QtGui, QtCore, QtWidgets, uic
#include <QStyle>
from PyQt5.QtCore import QObject, pyqtSlot
from QT_Assignment.toolbox import Preprocessing, Feature_Building, Feature_Selection, Classifier, \
Output, Evaluation_Metric, Feature_Scaling, Loading, gui_Instance # put testUI.py in th... | null | main.py | main.py | py | 5,788 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.uic.loadUiType",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PyQt5.uic.loadUiType",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic",
"... |
198892233 | # Input is any string. The idea is to find the first non-repeating character in it, and return its position
# Input is lowercase. If it doesn't exist, it will return -1.
# First solution
def character(s):
freq = {}
for i in s:
if i not in freq:
freq[i] = 1
else:
freq[i] ... | null | Python/firstUniqueCharacter.py | firstUniqueCharacter.py | py | 720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 22,
"usage_type": "call"
}
] |
649990655 | from arm.servicebus.servicebus import Servicebus
from arm.servicebus.topic import Topic
from arm.servicebus.queue import Queue
from arm.servicebus.authorizationRules import AuthorisationRules
from arm.servicebus.subscriptions import Subscriptions
import json
import os
from jinja2 import Template
def get_sb_resource()... | null | python/serviceBus/gen_AZ_SB_SeS/python/run.py | run.py | py | 1,792 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "arm.servicebus.servicebus.Servicebus",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "arm.servicebus.queue.Queue",
"line_number": 25,
"usage_type": "call"
},
{
"api_nam... |
599902745 | import discord
from discord.ext import commands
import json
#got the Token this way because Python was being stupid and wouldn't import another file and I was too lazy to figure it out XD
with open('config.json') as f:
file = json.load(f)
TOKEN = file["TOKEN"]
bot = commands.Bot(command_prefix="~")
@bot.event
async ... | null | bot.py | bot.py | py | 715 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "discord.__versio... |
47692005 | # # -*- coding: utf-8 -*-
import py2neo
from pymongo import MongoClient
db = MongoClient("mongodb://localhost:27017")
col = db.zhiwang['paper']
#从Mongodb中删选出需要的数据
papers = col.find({"authors":{"$elemMatch":{"author_name":"汤庸","author_orgn_name":"华南师范大学"}}})
paper_list = []
for paper in papers:
paper_list.append(pap... | null | untitled/00ll/2017-5/ruizhang.py | ruizhang.py | py | 2,080 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "py2neo.Graph",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "py2neo.ogm.GraphObject",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "py2neo.ogm.Pro... |
462305275 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from django.shortcuts import render, get_object_or_404, render_to_response
from django.http import HttpResponse
from .models import *
from django import forms
import requests
import urllib
from lxml import html
import urllib.request
from datetime import *
import time
# Cr... | null | fightdata/views.py | views.py | py | 2,907 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 90,
"usage_type": "call"
}
] |
510939317 | import os
import re
from collections import defaultdict
import six
from Bio import SeqIO
from tracerlib.tracer_func import process_chunk, find_possible_alignments
def makeOutputDir(output_dir_path):
if not os.path.exists(output_dir_path):
os.mkdir(output_dir_path)
def is_exe(fpath):
return os.path... | null | tracerlib/io.py | io.py | py | 3,291 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_numbe... |
616609697 | import numpy as np
import cv2
import os
from managed_threading import ManagedThread
class Visualizer(ManagedThread):
def step(self, r, grabber):
frame = np.rot90(cv2.cvtColor(r.frame.reshape((4320, 640, 2)), cv2.COLOR_YUV2BGR_YUYV), 3) # Approx 2ms
field_mask = np.rot90(np.repeat(r.field_mask, 2, ... | null | robovision/visualization.py | visualization.py | py | 5,307 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "managed_threading.ManagedThread",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.rot90",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_YUV2B... |
481785621 | print("start!")
#from unicodedata import bidirectional
import torch
print("import torch ended(1)")
import torch.nn as nn
print("import torch ended(2)")
import time
print("import time ended")
import os
print("import os ended")
print("import ended")
#torch.set_default_dtype(torch.bfloat16)
torch.set_grad_enabled(False)... | null | contrib/pim/mlapp/past/ds2_cur3.py | ds2_cur3.py | py | 8,554 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.set_grad_enabled",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_n... |
128204166 | # -*- coding: utf8 -*-
import numpy as np
import gym
class DescriptionWrapper(gym.Wrapper):
"""
Wrapper that mantains a description of the environment
in its metadata.
"""
changeable_parameters: list = []
def __init__(self, env, **kwargs):
super(DescriptionWrapper, self).__init__(env... | null | environment/wrappers.py | wrappers.py | py | 1,791 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.Wrapper",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "gym.ObservationWrapper",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "gym.space... |
124297015 | from dataclasses import dataclass
@dataclass
class Position:
x: int
y: int
@dataclass
class Slope:
right: int
down: int
area_map = []
# read input data
with open("input.txt", "r") as data:
for line in data:
area_map.append(tuple(line.strip()))
slope = Slope(3, 1)
trees = 0
pos = Posi... | null | day_03/task_1.py | task_1.py | py | 556 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 10,
"usage_type": "name"
}
] |
538351078 | #!/bin/env python
# -*- coding:utf8 -*-
import tornado.web
import tornado.gen
import tornado.httpclient
from tornado.escape import utf8
import json
import re
from common import web_handler
from common import mylog
from common import error_msg
from common import conf
from common import utility
from purchase_summary_s... | null | wood-erp/handler/purchase_summary/purchase_summary_list.py | purchase_summary_list.py | py | 1,612 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.web_handler.WebHandler",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "common.web_handler",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "common.error_msg.SUCCESS",
"line_number": 24,
"usage_type": "attribute"
},
{
... |
174287352 | __author__ = 'anyul'
from django.conf.urls import patterns, url
from Quiniela.views import *
urlpatterns = patterns('',
url(r'^usuarios/$', ListadoUsuarios.as_view(), name="listado_usuarios"),
url(r'^usuarios/(?P<pk>\d+)$', DetalleUsuario.as_view(), name="detalle_usuario"... | null | Quiniela/urls.py | urls.py | py | 1,803 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "djan... |
446622338 | from flask import Flask, render_template, request
import pickle
import numpy as np
import pandas as pd
import pandas
model = pickle.load(open("linear.pkl", "rb"))
app = Flask(__name__)
@app.route('/')
def hello_world():
return render_template("index.html")
@app.route('/', methods=['POST'])
def my_form_post... | null | app.py | app.py | py | 696 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
... |
116451150 | from django import forms
class SettingsForm(forms.Form):
"""
A base form for loading/saving settings for an extension. This is meant
to be overridden by extensions to provide configuration pages. Any fields
defined by the form will be loaded and saved automatically.
"""
def __init__(self, exte... | null | djblets/extensions/forms.py | forms.py | py | 798 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.Form",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.forms.Form.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.f... |
598553773 | #!/usr/bin/env python3
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.rcParams.update({'font.size': 20/1.25})
colors = plt.rcParams['axes.prop_cycle'].by_key()['color']
r_rec = np.load("../data/r_rec_rate_dynamics_step.npy")
u_rec = (r_rec[:,0] + r_rec[:,1])/2.**.5
n_t = u_rec.shap... | null | Poster/figures/code/u_dyn_rate_illustr.py | u_dyn_rate_illustr.py | py | 1,225 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.rcParams.update",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 9,
"usage_type": "attribute"
},
{
"... |
78203348 | import cv2
from darkflow.net.build import TFNet
from PIL import Image
import glob
options = {
'model' : 'yolo.cfg',
'load' : 'yolov2.weights',
'threshold' : 0.3,
}
tfnet = TFNet(options)
for filename in glob.glob('photos/*.jpg'):
img = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
result = tfnet.return_predict(i... | null | YOLO-Image-labelling/yolo_process_image.py | yolo_process_image.py | py | 682 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "darkflow.net.build.TFNet",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_UNCHANGED",
... |
35952661 | import absim.agent as agent
import absim.world as world
import torch
import numpy as np
from tianshou_policies import *
policy_net = 'Mlp16x2'
state_dict_path = './results/DQN_3_0_withmap_2020_07_27_00_14/dqn.pth'
class DQNMapAgent(agent.Agent):
"""The probability-greedy agent visits the location with the highes... | null | bwi_scavenger/scripts/absim/dqn_map_agent.py | dqn_map_agent.py | py | 1,877 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "absim.agent.Agent",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "absim.agent",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"lin... |
383831126 |
from flask import Blueprint, request, abort, jsonify, current_app
from API.template.ctrl_template import ControlTemplate
import API.utils as utils
import json
from API.decorators import parse_args
# from API.error import Message
template = Blueprint('template', __name__, url_prefix='')
@template.route('/template/<... | null | API/template/webtemplate.py | webtemplate.py | py | 2,714 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "API.utils.get_user_name",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "API.utils",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "API.template.ctrl_t... |
638817796 | import re
from server.models import get_flatten,get_munis
from tree import Tree
from bson.objectid import ObjectId
from settings import MAX_LEVEL
# from server.utils import profile
def search_code(muni,year,code):
# TODO : rewrite this code
dataset = get_flatten()
results = []
code_rex = re.compile("... | null | visualization/api.py | api.py | py | 3,159 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "server.models.get_flatten",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "settings.MAX_LEVEL",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "settings.MAX_... |
544739361 | import pandas as pd
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score
from sklearn.metrics import precision_recall_curve
classification = pd.read_csv('classification.csv')
ClfErrorTable = {'TP': 0, #true positive
'FP': 0, #false positive
... | null | ClassificationMetrics.py | ClassificationMetrics.py | py | 3,780 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.precision_score",
"line_number": 26,
"usage_type": "call"
},
{
"api... |
626898333 | import matplotlib.pyplot as plt
import numpy as np
def freq_response(a,p,f):
ax = plt.subplot(211)
ax.set_title("freq_char")
plt.plot(f,a);
plt.xscale('log')
plt.title('Magnitude',fontsize=10)
plt.xlabel('Frequency [Hz]')
plt.ylabel('Amp')
plt.margins(0, 0.1)
plt.xlim(20, 20000)
... | null | display.py | display.py | py | 3,498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matpl... |
339712498 | import astropy.units as u
from einsteinpy.bodies import Body, Earth, Sun
from einsteinpy.coordinates import CartesianDifferential, SphericalDifferential
def test_sun_base_properties():
assert Sun.parent is None
assert Sun.R == 695510 * u.km
assert Sun.mass == 1.9891e30 * u.kg
def test_sun_extras():
... | null | src/einsteinpy/tests/test_bodies.py | test_bodies.py | py | 1,990 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "einsteinpy.bodies.Sun.parent",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "einsteinpy.bodies.Sun",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "einsteinpy.bodies.Sun.R",
"line_number": 9,
"usage_type": "attribute"
},
{
... |
214544039 | import numpy as np
import random
import time
import math
import matplotlib.pyplot as plt
'''
num_dim = number of variables = 50
number of epochs = 500, no.generation
search agents = number of f(x)
lb = -10, lower bound of variable
ub = 10, upper bound of variable
T_dim is the best value_set of the dim_th d... | null | nguyen_thieu/week_7-tut_optimization/models/goa/GOA_OBL.py | GOA_OBL.py | py | 4,378 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.uniform",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "math.sqrt",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line... |
344500677 | from django.shortcuts import render
from django.contrib.auth.models import User
# from .models import DeveloperRepository, Technology, Domain
from django.contrib import messages
from django.shortcuts import render
from django.shortcuts import render,redirect
from editinfo.models import Developer, Q_A, Technology, Domai... | null | editinfo/views.py | views.py | py | 6,938 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "editinfo.models.Developer.objects.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "editinfo.models.Developer.objects",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "editinfo.models.Developer",
"line_number": 16,
"usage_type":... |
366966352 | import os
import sys
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(here, 'readme')).read()
requires = [
'Shapely',
'rpy2'
]
setup(name='SpatialUtils',
version='0.0',
description='Spatial Utilties',
long_descripti... | null | spatial_utils/setup.py | setup.py | py | 640 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
578172527 | import torch
from torch import nn
from torch.nn.functional import softmax
from patchify import patchify
from WeavedMLP import WeavedMLP
from datetime import datetime as dt
class MLP(nn.Module):
def __init__(self, in_dim=49, hidden_dim=64, dropout=0.0):
super(MLP, self).__init__()
self.lin... | null | transformer.py | transformer.py | py | 6,429 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
266232541 | import csv
import datetime
from os.path import basename, join, exists
import tempfile
import shutil
import unittest
from vixen.tests.test_directory import make_data, create_dummy_file
from vixen.project import Project, TagInfo, get_non_existing_filename, INT
class TestProjectBase(unittest.TestCase):
def setUp(s... | null | vixen/tests/test_project.py | test_project.py | py | 13,324 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "vixen.tests.test... |
235854511 | # coding=UTF-8
# **********************************************************************
# Copyright (c) 2013-2020 Cisco Systems, Inc. All rights reserved
# written by zen warriors, do not modify!
# **********************************************************************
from cobra.mit.meta import ClassMeta
from cobra.m... | null | venv/Lib/site-packages/cobra/modelimpl/dbg/epgtoiprslt.py | epgtoiprslt.py | py | 9,026 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cobra.mit.mo.Mo",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "cobra.mit.meta.ClassMeta",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cobra.model.category.MoCategory.REGULAR",
"line_number": 32,
"usage_type": "attribute"
},
{
... |
431414679 | # Graphically
import matplotlib.pyplot as plt
import math
import numpy as np
import array
import random
import datetime
# =============================================================================
# First I'll implement merge sort. This algorithm uses both recursive and non-recursive techniques.
# It is a... | null | HW/HW4_Ped.py | HW4_Ped.py | py | 6,421 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.sample",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 105,
"usage_type": "attribute"
},
{
"api_name": "datetime... |
370642524 | #! /usr/bin/python
# ./parse-annotations.py --output_dir path/to/output/folder path/to/vatic-dump
# to make elan files, add the options: --make_elan --videos_location ../path/to/video/files/
import csv, sys, os, re, argparse, shutil, tempfile, json, pandas
import pyelan
from itertools import izip, groupby
def group... | null | parse-annotations.py | parse-annotations.py | py | 13,895 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.izip",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext",
"... |
148266353 | """media URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/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-based... | null | media/urls.py | urls.py | py | 2,106 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "store.views.home",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "store.views",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "django.conf.ur... |
88761390 | ##############################################################################
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
#
# Copyright 2014 by F5 Networks and/or i... | null | neutron/services/loadbalancer/drivers/f5/bigip/icontrol_driver.py | icontrol_driver.py | py | 140,978 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "neutron.openstack.common.log.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "neutron.openstack.common.log",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "oslo.config.cfg.StrOpt",
"line_number": 43,
"usage_type": "call"
},... |
489016978 | import numpy as np
from keras.datasets import cifar10
from keras.models import load_model
import os
import sys
import collect_data
import argparse
import stl_model
import unet_model as um
ap = argparse.ArgumentParser()
ap.add_argument("-a", "--autoencoder_path", required=True,
help="Relative path to model", default... | null | evaluate_classifer_autoencoder.py | evaluate_classifer_autoencoder.py | py | 2,584 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "keras.m... |
609488509 | # -*- coding: utf-8 -*-
__author__ = '小逗比'
from aiohttp import web
async def index(request):
return web.Response(text='hello world')
app = web.Application()
app.add_routes([web.get('/', index)])
web.run_app(app, host='127.0.0.1', port=9090)
| null | www/app.py | app.py | py | 254 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aiohttp.web.Response",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "aiohttp.web",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "aiohttp.web.Application",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "aiohttp.web",
... |
537589859 | import torch.nn as nn
import torch
import torch.nn.functional as F
from torch.autograd import Function
class DiffClamp(Function):
@staticmethod
def forward(ctx, x, min, max):
return x.clamp(min, max)
@staticmethod
def backward(ctx, grad_output):
return grad_output.clone(), None, None
... | null | kamal/models/ae/blocks.py | blocks.py | py | 3,133 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.autograd.Function",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.autograd.F... |
232344205 | __AUTHOR__ = 'Reverier Xu'
import requests
properties = {
'name': 'GET',
'categories': 'Web',
'input': {0: '地址', 1: '参数'},
'output': {0: '应答'},
'properties': {
'http代理': str,
'https代理': str,
'time out': str
}
}
defaults = {
'http代理': '',
'https代理': '',
'time... | null | Modules/DataFlow/GetMethodModule.py | GetMethodModule.py | py | 895 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
}
] |
521328743 | # CSS selector form: tagName[attribute='value']
# e.g a[id='signup']
from selenium import webdriver
import time
driver = webdriver.Firefox()
driver.get("http://kennethhutw.github.io/demo/Selenium/")
# Sign up
driver.find_element_by_css_selector('a[id="signup"]').click()
print(driver.title)
time.sleep(2)
driver.ba... | null | .vscode/CSSselector.py | CSSselector.py | py | 489 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
108049578 | # tests.py
from unittest import TestCase, main as unittest_main, mock
from bson.objectid import ObjectId
from app import app #throws error when reading pymongo unless pymongo is installed in the (env)
sample_playlist_id = ObjectId('5d55cffc4a3d4031f42827a3')
sample_playlist = {
'title': 'Cat Videos',
'descrip... | null | tests.py | tests.py | py | 3,441 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bson.objectid.ObjectId",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "app.app.test_client",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "app.app",... |
125464478 | # -*- coding: utf-8 -*-
"""
This module handles the OAuth2 authentication process and maintains the
session (/token) information that is required to communicate with the OSF API
It is also responsible for constructing the correct API calls/uris as specified by the
OSF for the various types of information that can be r... | null | QOpenScienceFramework/connection.py | connection.py | py | 6,209 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "QOpenScienceFramework.dirname",
"line_number": 41,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "json.load... |
115156999 | import ast
import json
import typing
import kfp
import mlrun
import mlrun.api.api.utils
import mlrun.api.schemas
import mlrun.errors
import mlrun.kfpops
import mlrun.utils.helpers
import mlrun.utils.singleton
from mlrun.utils import logger
class Pipelines(metaclass=mlrun.utils.singleton.Singleton,):
def list_pi... | null | mlrun/api/crud/pipelines.py | pipelines.py | py | 7,767 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mlrun.utils",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "mlrun.api",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "mlrun.mlconf",
... |
315887420 | import easypycurl
import logger
import time
import zipfile
import os
def login(username, password, curl):
url = 'https://www.fedex.com/fcl/logon.do?appName=fclfsm&locale=us_en&step3URL=https%3A%2F%2Fwww.fedex.com%2Fship%2FshipEntryAction.do?method=doRegistration%26locale=en_us%26urlparams=us%26sType=F%26action=fsmre... | null | fedex/fedex_get_0.1.py | fedex_get_0.1.py | py | 7,909 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zipfile.ZipFile",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 174,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 174,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"lin... |
457044724 | '''
Created on 2017年9月25日
@author: moonlit
python Z:\StockAnalysis\sourceCode\TuShare\test\src\importAlpha101data.py
'''
# import numpy as np
import pandas as pd
# from Alpha101 import WQ_Alphas_Analysis as aa
from Alpha101 import Alpha101_from_ricequant as ar
import cx_Oracle
import getStockData as gsd
import mat... | null | sourceCode/TuShare/test/src/importAlpha101data_21_40.py | importAlpha101data_21_40.py | py | 5,128 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.to_dateti... |
630578404 | from django.conf.urls import patterns, include, url
from django.contrib import admin
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'gamble.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
url(r'^admin/', include(admin.site.urls)),
url(r'^orig', 'gambleapp.views.original', n... | null | gamble/gamble/urls.py | urls.py | py | 391 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "... |
423550556 | from darksky.abstract_io.redis import RedisCache
import mock
from nose.tools import assert_equals, assert_dict_equal, assert_raises
def test_RedisCache():
mock_strictredis = mock.Mock()
internal_table = {}
def mock_set(key, value):
internal_table[key] = value
mock_strictredis.set.side_effect =... | null | tests/unit/test_RedisCache.py | test_RedisCache.py | py | 1,542 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mock.Mock",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "darksky.abstract_io.redis.RedisCache",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nose.tools.assert_equals",
"line_number": 23,
"usage_type": "name"
},
{
"api_name":... |
254137663 | #!/usr/bin/env python
import os
import psycopg2
import matplotlib
matplotlib.use('4Agg')
import pylab
from scipy import stats
genre = 'horror'
conn = psycopg2.connect("dbname=movielens")
cur = conn.cursor()
cur.execute('''
SELECT movie_id, rating
FROM ratings
WHERE EXISTS(SELECT * from movie_genre
WHERE... | null | duke/cs216/hw5/movielens/histo-movies.py | histo-movies.py | py | 786 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
286213262 | # Copyright 2016, 2017 Peter Zybrick and others.
#
# 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 applicable law or ag... | null | iote2e-pyclient/src/iote2epyclient/process/processpilldispenser.py | processpilldispenser.py | py | 6,720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "iote2epyclient.pilldispenser.handlepilldispenser.HandlePillDispenser",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "picamera.PiCamera",
"line_number": 53,
"usage_type... |
232629064 | from __future__ import print_function
from pyspark.sql import SparkSession
import sys
from pyspark.sql import types, functions
def zip_sort(delays, fractions):
return sorted(zip(delays, fractions))
def quartiles(distribution):
cumulative = 0.0
result = []
for delay, percentage in distribution:
... | null | 19_Spark/scriptSpark.py | scriptSpark.py | py | 3,001 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 42,
"usage_type": "call"
},
{
"api_name... |
460713247 | #!/usr/bin/ env python
# coding:utf-8
__author__ = 'Administrator'
from sqlalchemy import func
class BaseEntity(object):
def __init__(self):
pass
def get_by_id(self, session, id, columns = None, lock_mode = None):
if hasattr(self.entity, 'id'):
scalar = False
if column... | null | code/web/app/core/baseentity.py | baseentity.py | py | 2,734 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.func.count",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.func",
"line_number": 34,
"usage_type": "name"
}
] |
64437124 | from sklearn.ensemble import RandomForestRegressor
import tensorflow as tf
import _pickle as cPickle
import numpy as np
import pickle
from sklearn.model_selection import train_test_split
with open('features', 'rb') as fp:
features=pickle.load(fp)
with open('labels', 'rb') as fp:
labels=pickle.load(fp)
with ... | null | Crime_Prediction_using_MachineLearningAlgorithms/rnd_frst.py | rnd_frst.py | py | 1,820 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_tes... |
433161458 | #!/usr/bin/python3
import settings
import socket
import os
import logging
#dados para criacao de log
logging.basicConfig(
filename= settings.file_logs, level=logging.DEBUG,
format='%(asctime)s %(levelname)s %(funcName)s => %(message)s'
)
itens = settings.itens
fail_status = settings.fail_status
logging.debug('par... | null | ini.py | ini.py | py | 2,996 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "settings.file_logs",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "settings.... |
53262366 | #!/usr/bin/env python3
import json
import sys
import subprocess
import datetime
cname = sys.argv[1]
year = datetime.datetime.now().year
schedule = json.loads(sys.stdin.read())
subprocess.run(['sh', '-c', "yes y | gcalcli --calendar="+cname+" delete '*' 00:00"])
for date, lectures in schedule.items():
for lectu... | null | modules/mai2google.py | mai2google.py | py | 953 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.loads"... |
355935693 | #-*- coding;utf-8 -*-
__author__ = 'TAOQIN001'
import datetime
class GetDate():
def __init__(self):
pass
def get_date(self, wantday=None):
day=datetime.date.today()
oneday=datetime.timedelta(days=1)
try:
if wantday > 0:
for i in range(wantday):
... | null | common/getdate.py | getdate.py | py | 767 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date.today",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 12,
"usage_type": "call"
}
] |
588055042 | from django.urls import path
from . import views
urlpatterns = [
path('u/', views.users, name='users'),
path('t/', views.themes, name='themes'),
path('c/', views.comments, name='comments'),
path('', views.index, name='index'),
path('delete/<int:id>/', views.deleteUser, name='deleteUser'),
path... | null | django/myproject/myapp/urls.py | urls.py | py | 376 | 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",
... |
354021296 | import pandas as pd
from sqlalchemy import create_engine
from sqlalchemy import Column, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.dialects import mysql
import os
import datetime
# # 適当なDataFrameを作成する(ただし、カラム名は必ずデータベースのものと同じにする)
# df = pd.Data... | null | psqltest.py | psqltest.py | py | 4,700 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.dialects.mysql.INTEGER",
"line_number": 29,
"usage_type": "attri... |
163861171 | """ Code to download raw images for classification """
import csv
import pandas as pd
from tools.image_url_loader import ImageUrlLoader
from tools.predictor_external import PredictorExternal2
from config.config import cfg_model, cfg_path
import os
# Parameters
# path = 'D:\\Studium_GD\\Zooniverse\\Data\\transfer_learn... | null | transfer_learning/experiments/camera_catalogue_south_africa_4/get_images.py | get_images.py | py | 2,359 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "config.config.cfg_path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "config.config.cfg_path",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pandas.rea... |
77487064 | import subprocess
import threading
import gi
gi.require_version('Gtk', '3.0')
gi.require_version('Gdk', '3.0')
from gi.repository import GObject
from gi.repository import GLib
from gi.repository import Gtk
from gi.repository import Gdk
# pulsectl 18.12.5
from pulsectl import Pulse
# relative units
VOLUME_WIDTH = 2... | null | volume_tray.py | volume_tray.py | py | 11,381 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gi.require_version",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gdk.Screen.get_default",
"line_number": 33,
"usage_type": "call"
},
{
"api_name... |
544885023 | import re
from django import template
from django.template.defaultfilters import stringfilter
register = template.Library()
@register.filter
@stringfilter
def short_title(text_blob):
if len(text_blob) > 28:
blurb = text_blob[:24]
blurb = blurb[:blurb.rfind(' ')] + ' ...'
return blurb
... | null | sfm_pc/templatetags/facets.py | facets.py | py | 880 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Library",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.template.defaultfilters.stringfilter",
"line_number": 10,
"usage_type": "name"
},
{
... |
569695516 | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
import logging
import time
from pn532pi import Pn532, pn532
from pn532pi import Pn532I2c
from odoo import _
from odoo.addons.hw_drivers.event_manager import event_manager
from odoo.addons.hw_drivers.driver import Drive... | null | nfc_iot/iot_handlers/drivers/PN532Driver.py | PN532Driver.py | py | 3,448 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "odoo.addons.hw_drivers.driver.Driver",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pn532pi.Pn532I2c",
"line_number": 29,
"usage_type": "call"
},
{
"api_name"... |
322364422 | import cv2
import numpy as np
from DetectDigit import detect_digit
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.keras.models import load_model
def ClassifyDigits(sudoku_gray):
stepX = sudoku_gray.shape[1] // 9
stepY = sudoku_gray.shape[0] // 9
board = np.zeros((9, 9), d... | null | src/ClassifyDigits.py | ClassifyDigits.py | py | 2,124 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "DetectDigit.detect_digit",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"... |
293181654 | import enchant
import string
from functools import reduce
d = enchant.Dict("en_US")
ALPHABET = string.ascii_lowercase
# ASSUMPTIONS:
# The grammarian orb allows for the user to "change one letter" in the spell name
# Changing is assumed to take three forms:
# - altering the value
# - moving the locati... | null | grammarian.py | grammarian.py | py | 6,198 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enchant.Dict",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "functools.reduce",
"line_number": 124,
"usage_type": "call"
}
] |
193018590 | # -*- coding:utf-8 -*-
import time
from FireDynamics.FurnaceModel import main_function
import sys
import os
from PyQt5 import uic, QtGui, QtCore
from PyQt5.QtWidgets import QApplication, QMessageBox
from matplotlib.backends.backend_qt5agg import (
FigureCanvasQTAgg as FigureCanvas,
NavigationToolbar2QT as Navig... | null | project/zone_model_1/UI/main 2.py | main 2.py | py | 8,151 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic.loadUiType",
... |
275956631 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Copyright 2011-2020, Nigel Small
#
# 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
#
# Unle... | null | py2neo/client/packstream.py | packstream.py | py | 24,910 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "struct.pack",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": ... |
484233194 | import os
import pandas as pd
from os import path
import multiprocessing
from multiprocessing import Process
import threading
import matplotlib
from matplotlib import pyplot as plt
import statsmodels.api as sm
import seaborn as sns
from model.abstract_classes.dgp_sanity_check import DGP_Sanity_Check
from datetime impor... | null | GENERATOR/model/utilities/sanity_check.py | sanity_check.py | py | 14,329 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "model.abstract_classes.dgp_sanity_check.DGP_Sanity_Check",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "name"
},
{
"a... |
501899599 | __author__ = 'joelwhitney'
# SIE 558 - Final Take - Insert into DB
# this file:
# 1) opens connection to mysql db and sets up insert statement
# 2) set up pi serial connection
# 3) opens file to write results to and start reading from serial
# imports
import serial
import time
import datetime
import pymysql
# 1) open... | null | SIE558_FinalWriteCSVwPlotly_JoelWhitneyV2a.py | SIE558_FinalWriteCSVwPlotly_JoelWhitneyV2a.py | py | 2,878 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymysql.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
642911028 | """empty message
Revision ID: b56a84863d22
Revises: e3aa9f7201ed
Create Date: 2017-12-22 15:17:59.643533
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = 'b56a84863d22'
down_revision = 'e3aa9f7201ed'
branch_labels = None
depe... | null | migrations/versions/b56a84863d22_.py | b56a84863d22_.py | py | 1,830 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.alter_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.String",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op.add_c... |
308328171 | '''
Created on Apr 20, 2011
@author: SAM FENDELL
'''
from PyQt4 import QtGui, QtCore
from sympy import sympify, Symbol, lambdify
class Fit:
def __init__( self, name, description, function, params, autofit = None ):
self.name = name
self.description = description
self.function = function
... | null | old_files/grapher/fitter.py | fitter.py | py | 6,713 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt4.QtGui.QDialog",
"line_number": 67,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 67,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtGui.QVBoxLayout",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "PyQt4.Qt... |
417620465 | from django.http import JsonResponse
from rest_framework import generics, permissions
from rest_framework.response import Response
from .serializers import (
UserSerializer, RegisterSerializer, LoginSerializer)
from rest_framework.views import APIView
from rest_framework.permissions import IsAuthenticated
from rest... | null | users/views.py | views.py | py | 1,818 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework_jwt.settings.api_settings.JWT_PAYLOAD_HANDLER",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rest_framework_jwt.settings.api_settings",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "rest_framework_jwt.settings.api_settin... |
484829311 | #!/usr/bin/env python
import random
import os
from pyfirmata import Arduino, INPUT, PWM
from time import sleep
PORT = os.environ['ARDUINO_PORT']
board = Arduino(PORT)
pin = 11
def get_pwm_pin():
return board.digital[11]
get_pwm_pin().mode = PWM
for _ in xrange(99):
get_pwm_pin().write(random.randint(1, 100) / ... | null | src/pwm_led.py | pwm_led.py | py | 412 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyfirmata.Arduino",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyfirmata.PWM",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "random.randint",
"l... |
484967100 | # -*- coding: utf-8 -*-
"""
Utility functions to plot words frequencies over time.
"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import re
from db_connection import server_name, db_name, fetch_dataframe
def process_cases():
query_case = open('Z:/Andre Bittar/Projects/eHOST-IT/Andre_... | null | plot_word_feature_counts.py | plot_word_feature_counts.py | py | 11,690 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "db_connection.fetch_dataframe",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "db_connection.server_name",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "db_connection.db_name",
"line_number": 17,
"usage_type": "argument"
},
{
... |
335872653 | '''
Flask application to manipulate images
Deployed on Amazon Web Services EC2
Initial fork from Flask Tutorial by:
Author: Scott Rodkey - rodkeyscott@gmail.com
https://medium.com/@rodkey/deploying-a-flask-application-on-aws-a72daba6bb80
'''
# flask imports
from flask import Flask, render_template, request, jsonify
f... | null | application.py | application.py | py | 3,026 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask_restful.fields.Integer",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "flask_restful.fields",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "flask_restful.fields.String",
"line_number": 22,
"usage_type": "attribute"
},
... |
487168126 | from django.shortcuts import render
from inventory.models import Inventory
from inventory.forms import InventoryForm
from django.http import HttpResponseRedirect
def post_inventories(request):
template_name = 'inventory.html'
posts = Inventory.objects.all()
return render(request, template_name, {'posts': p... | null | inventory/views.py | views.py | py | 658 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "inventory.models.Inventory.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "inventory.models.Inventory.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "inventory.models.Inventory",
"line_number": 8,
"usage_type":... |
321448148 | import json
from app import app
from app.db.comments import Comment
from app.db.categories import Category
from app.db.galleries import Gallery
from app.db.subscriptions import Subscription
from app.db.subscriptions import SubscriptionCategory
from app.utils.aws import s3_change_image_resolutions
from app.utils.dateti... | null | app/apis.py | apis.py | py | 4,000 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.request.data",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"li... |
244450896 | import re
import pytest
from dagster.check import CheckError
from dagster.seven import mock
from dagster.utils.backcompat import canonicalize_backcompat_args
def is_new(old_flag=None, new_flag=None, include_additional_warn_txt=True):
actual_new_flag = canonicalize_backcompat_args(
new_val=new_flag,
... | null | python_modules/dagster/dagster_tests/general_tests/utils_tests/test_backcompat.py | test_backcompat.py | py | 1,593 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dagster.utils.backcompat.canonicalize_backcompat_args",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.warns",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "re.escape",
"line_number": 35,
"usage_type": "call"
},
{
"api_... |
331466985 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import logging
import uuid
from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User, Group
import benchmark.configurations.task_conf as CONF
logger = logging.getLogger(__name__)
choice_filter = lambda ... | null | benchmark/models/task_models.py | task_models.py | py | 4,586 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "benchmark.configurations.task_conf.PROTOCOL_INFO.values",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "benchmark.configurations.task_conf.PROTOCOL_INFO",
"line_number": 1... |
487568986 | import sys
sys.path.append('data_processing')
from config import prefix
import bridge
from tqdm import tqdm
import numpy as np
import pandas as pd
import os
from pretraining import DualEventModel
import random
from sklearn.decomposition import TruncatedSVD
import json
from dictionaries import possible_labels
from PIL i... | null | backup/svd.py | svd.py | py | 3,769 | 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": "dictionaries.possible_labels",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "pandas.r... |
271053523 | from django.views.generic import TemplateView
from deals.models import Deal
from main.const import DEFAULT_PAGE_LIMIT, DEFAULT_PAGE_OFFSET
from main.converters import to_int, to_positive
from statistics.models import Statistic
from traders.models import Trader
from transactions.const import TransactionType
from transa... | null | main/views.py | views.py | py | 2,851 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "main.converters.to_positive",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "main.const.DEFAULT_PAGE_OFFSET",
"line_number": 24,
"usage_type": "argument... |
633546545 | import numpy as np
import matplotlib.pyplot as plt
# x = [1, 5, 10, 10, 25, 50, 70, 75, 300 ]
# y = [0, 0, 0, 0, 0, 1, 1, 1, 1]
#
# colors = np.random.randn(len(x))
# plt.plot(np.unique(x), np.poly1d(np.polyfit(x, y, 1))(np.unique(x)))
# plt.ylabel("Fever")
# plt.xlabel("Temperature")
#
# plt.scatter(x, y, c=colors, a... | null | Practical_Deep_Learning_With_Pytorch/LogisticRegression.py | LogisticRegression.py | py | 4,570 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torchvision.datasets.MNIST",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 22,
"usage_type": "call"
},
{
"a... |
138084554 | #-*- coding: utf-8 -*-
#MLP.py
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
#자료를 불러옵니다.
data_file_name = 'x_square.txt'
xy = np.genfromtxt(data_file_name, dtype='float32')
# x값과 y값을 불러와서 임시로 저장한다
temp_x = xy[:, 0] # 첫째 칼럼을 x_temp로 저장
temp_y = xy[:, 1] # 둘째 칼럼을 y_temp로 ... | null | ch 09 Multi Layer Perceptron/MLP.py | MLP.py | py | 1,614 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.placeholder",
... |
10480677 | from collections import Counter
import pickle
import string
from unidecode import unidecode
if __name__ == '__main__':
# Open and normalize text to extract usual vocabulary
with open('data/les_miserables.txt', 'r') as text:
fantine = text.read().replace('\n', ' ')
fantine = unidecode(fantine).lowe... | null | src/build_usual_words.py | build_usual_words.py | py | 856 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unidecode.unidecode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "collections.Counter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pickl... |
456594526 | import threading
from common import pattern
class Thing(object):
def __init__(self, name):
self._name = name
self._attributes = {}
@property
def name(self):
return self._name
def __getitem__(self, name):
if name in self._attributes:
return self._attributes[name].value
else:
... | null | utils/universe.py | universe.py | py | 3,693 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.pattern.Logger",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "common.pattern",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "threading.Thread",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "common.pat... |
609597373 | from flask import (
render_template,
request,
redirect,
session,
url_for,
Blueprint,
)
from bson.objectid import ObjectId
from models.topic import Topic
from models.reply import Reply
from models.board import Board
from models.user import User
from .bbs import login_require
from .bbs import c... | null | routes/topic.py | topic.py | py | 1,854 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "models.board.Board.find_all",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "models.board.Board",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "flask.... |
366184731 | """
"""
import json
import sys
import click
from planemo.cli import pass_context
from planemo import options
from planemo import shed
from planemo.io import error
from planemo.io import info
from planemo.io import shell
tar_path = click.Path(
exists=True,
file_okay=True,
dir_okay=False,
resolve_path... | null | planemo/commands/cmd_shed_upload.py | cmd_shed_upload.py | py | 3,353 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "click.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "planemo.shed.for_each_repository",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "planemo.shed",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "sys.exit",
... |
621268390 | from allennlp.modules.scalar_mix import SumMix
import torch
if __name__ == "__main__":
indices = [-1, -2]
mixer = SumMix([-1, -2])
tensors = [torch.randn([32, 10, 1024])] * 12
merged = mixer(tensors)
test_tensor = tensors[-1] + tensors[-2]
assert torch.sum(test_tensor != merged).item() == 0 | null | tests/mixer_test.py | mixer_test.py | py | 316 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "allennlp.modules.scalar_mix.SumMix",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 10,
"usage_type": "call"
}
] |
106893274 | import kfp
from kfp import components
from kfp import dsl
from kfp import gcp
# dataflow_tf_transform_op = 'gcr.io/celerates-playground/dock-img@sha256:e8935c4e00ce2a6d938b8349e8d03c59aadfbeca3d1022936641708494b89a92'
# kubeflow_tf_training_op = components.load_component_from_url('https://raw.githubusercontent.com/ku... | null | generatetf-coba.py | generatetf-coba.py | py | 1,895 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "kfp.gcp.use_gcp_secret",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "kfp.gcp",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "kfp.dsl.pipeline",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "kfp.dsl",
"line_n... |
503715406 | from __future__ import unicode_literals
import math
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from auths.models import Customer, Organization, OrganizationUsers
from commons.exceptions import (AccessAuthenticationError, ObjectDoesNotExist,
... | null | epad/projects/services/projects.py | projects.py | py | 14,230 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Project.objects.filter",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "models.Project.objects",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "models.Project",
"line_number": 41,
"usage_type": "name"
},
{
"api_name... |
571279745 |
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
import torch
import math
import copy
import logging
import numpy as np
from lightwood.mixers.nn.helpers.default_net import DefaultNet
from lightwood.mixers.nn.helpers.transformer import T... | null | lightwood/mixers/nn/nn.py | nn.py | py | 7,916 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.MSELoss",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "torch.optim.Adadelta",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "torch.optim",
... |
169564486 | import re, sys, nltk, pprint, pickle, csv, math, numpy, word_category_counter
selected_features = None
def get_story_clauses(csv_name):
story_clauses = []
with open('{0}.csv'.format(csv_name), newline='', encoding="ISO-8859-1") as csvfile:
reader = csv.reader(csvfile)
story = []
for re... | null | Assignment4/Part2-train.py | Part2-train.py | py | 9,326 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "word_category_counter.score_text",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "nltk.Fr... |
603901449 | import json
from bson.objectid import ObjectId
from sanic.log import logger
from sanic.exceptions import ServerError
from model.user import User
class UserService():
async def register_user(self, user_param):
try:
logger.info(self.register_user.__name__+' Inserting a new user.')
n... | null | examples/sanic/service/user_service.py | user_service.py | py | 1,435 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sanic.log.logger.info",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sanic.log.logger",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "model.user.User",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
653355361 | # GNU MediaGoblin -- federated, autonomous media hosting
# Copyright (C) 2011, 2012 MediaGoblin contributors. See AUTHORS.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either versio... | null | media_types/audio/processing.py | processing.py | py | 5,888 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "mediagoblin.media_types.audio.transcoders.AudioTranscoder",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "mediagoblin.processing.BadMediaFail",
"line_number": 35,
"usa... |
148587695 | import os, grp, daemon, signal, lockfile
from com.port8.core.scheduler import Scheduler
#with daemon.DaemonContext():
# do_main_program()
#More complex example usage:
print('instantiating scheduler')
sched = Scheduler()
print('in context')
context = daemon.DaemonContext(
working_directory='/home/anil/app/src/d... | null | com/port8/core_old/daemon02.py | daemon02.py | py | 951 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "com.port8.core.scheduler.Scheduler",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "daemon.DaemonContext",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lockfile.FileLock",
"line_number": 14,
"usage_type": "call"
},
{
"api_name... |
565711806 | import uuid
import random
import asyncio
import aio_pika
AMQP_URL = 'amqp://guest:guest@localhost:5672/'
async def consumer(sourceQ, channel):
async with sourceQ.iterator() as queue_iter:
# Cancel consuming after __aexit__
async for message in queue_iter:
async with message.proce... | null | consumer.py | consumer.py | py | 1,695 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aio_pika.Message",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "aio_pika.connect_robust",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "aio_pika.exchange",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "uuid.... |
498592247 | from setuptools import setup
readme = open('README.rst').read()
history = open('HISTORY.rst').read()
# Loading the version with ``from facepy import __version__`` will
# cause setuptools to attempt to import dependencies that we have no
# guarantee exist on the system yet, so we'll have to use ``execfile`` to
# impor... | null | uccface/build/facepy/setup.py | setup.py | py | 1,159 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 12,
"usage_type": "call"
}
] |
287759403 | import sys
import Levenshtein
import pickle
from urllib.parse import urlparse
from typing import List, Tuple
g = {}
def check_typosquatting(longest_section: str) -> str:
TYPOSQUATTING_THRESHOLD: float = 0.7
tmp_max_longest_section: str = ""
tmp_max_score: float = -1.0
tmp_max_index: int = -1
f... | null | sechuv_chve/src/engine/core/fake_url.py | fake_url.py | py | 3,076 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Levenshtein.distance",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Levenshtein.jaro_winkler",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "t... |
645654240 | # -*- coding: utf-8 -*-
#/usr/bin/python3
'''
Feb. 2019 by kyubyong park.
kbpark.linguist@gmail.com.
https://www.github.com/kyubyong/transformer.
Preprocess the iwslt 2016 datasets.
'''
import os
import errno
import multiprocessing as mp
from tqdm import tqdm
import sentencepiece as spm
from hparams im... | null | prepro.py | prepro.py | py | 4,186 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
... |
472304834 | '''
Dan Adler, Farhan Damani
Computational Genomics Final
Library for consensus sequencing
Goes through all reads and creates a counter for reads in a certain offset with most frequent position
Returns new contig list based upon that.
Methods:
1. consensus_sequence()
2. compute_new_contigs()
3. run_consensus()
USES... | null | PROGRAMS/Consensus_Sequence.py | Consensus_Sequence.py | py | 2,441 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 45,
"usage_type": "call"
}
] |
337526740 | from seleniumwire import webdriver
from selenium.webdriver.firefox.options import Options as Firefox_Options
from .utils import check_and_create_file
from time import sleep
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support.ui import Sel... | null | detaspider/browser_firefox.py | browser_firefox.py | py | 5,858 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "seleniumwire.webdriver.FirefoxProfile",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "seleniumwire.webdriver",
"line_number": 39,
"usage_type"... |
151462833 | import os
import cv2
import utils
import random
import numpy as np
from RAP_script import utils
from RAP_script import rap_data_loading as rap
import time
def get_head_area(img, mask, keypoints):
assert img is not None and mask is not None
head_point = keypoints[rap.kp_head]
neck_point = keypoints[rap.kp... | null | RAP_script/generate_synthetic_images.py | generate_synthetic_images.py | py | 23,830 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "RAP_script.rap_data_loading.kp_head",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "RAP_script.rap_data_loading",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "RAP_script.rap_data_loading.kp_neck",
"line_number": 15,
"usage_type... |
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