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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
469733987 | # Python SCALE Codec Library
#
# Copyright 2018-2020 Stichting Polkascan (Polkascan Foundation).
#
# 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... | null | scalecodec/base.py | base.py | py | 16,634 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.sub",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 5... |
483712415 | from collections import ChainMap
from itertools import groupby
from operator import itemgetter
a = {
'x': 1,
'y': 2,
'z': 3
}
b = {
'w': 10,
'x': 11,
'y': 2
}
print("相同的keys")
s = a.keys() & b.keys()
print(s)
print("a有b无的key")
print(a.keys() - b.keys())
print("相同的键值对")
v = a.items() & b.items(... | null | dataStructure/基本数据类型/zidian.py | zidian.py | py | 2,611 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "operator.itemgetter",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "operator.... |
209452914 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Predict engagement metrics from all features in sparse matrix.
Target: predict watch percentage
Usage: python sparse_all_predictor.py -i ./ -o ./output -f wp
Time: ~3H30M
Target: predict relative engagement
Usage: python sparse_all_predictor.py -i ./ -o ./output -f r... | null | engagement_prediction/sparse_all_predictor.py | sparse_all_predictor.py | py | 9,716 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
518918020 | import torch
import torch.nn as nn
from mmdet.core import bbox2result
from ..builder import DETECTORS, build_backbone, build_head, build_neck
from .base import BaseDetector
import pdb
from .distilling_single import Distilling_Single
@DETECTORS.register_module()
class Distilling_Single_IOU(Distilling_Single):
"""Ba... | null | mmdet/models/detectors/distilling_single_iou.py | distilling_single_iou.py | py | 7,474 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "distilling_single.Distilling_Single",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.max",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "torch.int64... |
333767418 | from django.shortcuts import render
from django.http import HttpResponse
from .models import Meeting,Participants
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.base import MIMEBase
from email import encoders
# Create your views here.
def home(request)... | null | mainmanagement/views.py | views.py | py | 3,747 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Meeting.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Meeting.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Meeting",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": ... |
38593146 | # -*- coding: utf-8 -*-
#
# Copyright © Spyder Project Contributors
# Licensed under the terms of the MIT License
#
"""
Script for running Spyder tests programmatically.
"""
# Standard library imports
import os
import sys
import argparse
# To activate/deactivate certain things for pytest's only
# NOTE: Please leave ... | null | runtests.py | runtests.py | py | 2,052 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"... |
155957204 | # -*- coding: utf-8 -*-
from django import forms
from images.models import Image
class NewImageForm(forms.Form):
image = forms.ImageField()
image.widget.attrs['title'] = u'選択'
image.widget.attrs['required'] = 'true'
caption = forms.CharField(widget=forms.Textarea, required=False)
letter = forms.C... | null | uploader/forms.py | forms.py | py | 608 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.forms.Form",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.ImageField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.forms... |
90929028 | import requests,bs4
'''response = unirest.post("https://andruxnet-random-famous-quotes.p.rapidapi.com/?count=10&cat=movies",
headers={
"X-RapidAPI-Host": "andruxnet-random-famous-quotes.p.rapidapi.com",
"X-RapidAPI-Key": "7d44d1b4dcmsh89e99c245c83847p17a669jsn02bd85965f4f",
"Content-Type": "application/x-... | null | quotess.py | quotess.py | py | 526 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
}
] |
313522157 | import cv2 as cv
import numpy as np
img = cv.imread('sudoku.png',)
gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
edges = cv.Canny(gray, 75, 150)
cv.imshow('edges',edges)
lines = cv.HoughLines(edges, 1, np.pi/180, 200)
for lines in lines:
ro,theta = lines[0]
a = np.cos(theta)
b = np.sin(theta)
x0 = a * ro
... | null | Hough_transform.py | Hough_transform.py | py | 567 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.Canny",
"line_nu... |
272571933 | import math
from bokeh.io import show, output_file
from bokeh.plotting import figure, show, output_file
from bokeh.models import GraphRenderer, StaticLayoutProvider, Circle, ColumnDataSource, LabelSet, Label
from bokeh.palettes import Spectral8
from graph import *
graph_data = Graph()
graph_data.debug_create_test_da... | null | src/draw.py | draw.py | py | 1,891 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bokeh.plotting.figure",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bokeh.models.GraphRenderer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "graph.node_renderer.data_source.add",
"line_number": 27,
"usage_type": "call"
},
{
... |
227007119 | # coding: utf-8
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import os
import numpy as np
from PIL import Image
from torch.utils import data
from torchvision import transforms as T
class Dataset(data.Dataset):
def __init__(self, root, data_list_fil... | null | data/dataset.py | dataset.py | py | 1,531 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",... |
290097234 | import argparse
import itertools
import sh
parser = argparse.ArgumentParser(description='Run combinations of CCP experiments')
parser.add_argument('--alg', dest='algs', action='append', type=str, nargs='+', default=['cubic'])
parser.add_argument('--num-flows', dest='flows', action='append', type=int, required=True)
p... | null | scripts/run-fidelity-combinations.py | run-fidelity-combinations.py | py | 2,310 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sh.run",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sh.run",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_nu... |
305073786 | from doublex import Spy
from hamcrest import assert_that, has_entries, has_entry, contains_string, is_not
from boscli import basic_types
from boscli import interpreter as interpreter_module
from boscli.command import Command
with describe('Help'):
with before.each:
self.interpreter = interpreter_module.I... | null | spec/help_spec.py | help_spec.py | py | 3,259 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boscli.interpreter.Interpreter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "boscli.interpreter",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "doublex.Spy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "boscli.... |
287430215 | from collections import OrderedDict
from cratis.features import Feature, require
from cratis.settings import feature
from cratis_assets.features import Assets, InclusionTemplate
from cratis_jslibs.features import Jquery, Fancybox, FroalaEditor
from django.conf.urls import url
from cratis_i18n.features import I18n
@... | null | cratis_angular/features.py | features.py | py | 6,766 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cratis.features.Feature",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cratis.settings.feature",
"line_number": 36,
"usage_type": "call"
},
{
"api_name"... |
232051066 | from gensim.models import Word2Vec
import numpy as np
# This feature based on the word2vec
class Word2VecFeature:
def __init__(self, tokens):
self.w2v = Word2Vec(tokens)
def _make_feature_vec(self, words, model, num_features):
feature_vec = np.zeros((num_features,), dtype="float32")
... | null | Word2VecFeature.py | Word2VecFeature.py | py | 1,013 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gensim.models.Word2Vec",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.add",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.divide",
"line_... |
579286383 | import os
import re
from datetime import datetime
from collections import Counter
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
tornado_log = 'tornado.log'
date_ms_regex = re.compile('.*(\d{6} \d{2}:\d{2}:\d{2}).* (\S+)ms.*')
url_regex = re.compile('.* (/\S*) .*')
def log_... | null | main.py | main.py | py | 2,086 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tornado.httpserver.web",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "tornado.httpserver"... |
274379245 | from django.conf import settings
from django.utils.decorators import method_decorator
# from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
# from django.core.exceptions import ObjectDoesNotExist
from django.shortc... | null | core/views.py | views.py | py | 4,169 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "djstripe.models.Product",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.views.generic.DetailView",
"line_number": 28,
"usage_type": "name"
},
{
... |
463092206 | #!/usr/bin/python
#coding=utf8
import datetime
import goodstock
import stockdetaillocal
import calcvalue
import csv
#http://quotes.money.163.com/service/chddata.html?code=1399300&start=20100101&end=20160329&fields=TOPEN;HIGH;LOW;TCLOSE;
#http://quotes.money.163.com/service/chddata.html?code=1399001&start=20100101&end=... | null | iwencai.py | iwencai.py | py | 3,495 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.date.today",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "csv.DictReader",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
449812906 | from django.db import migrations
import xml.etree.ElementTree as ET
def add_country(apps, schema_editor):
Country = apps.get_model("soccer", "Country")
tree = ET.parse('soccer/migrations/countries.xml')
root = tree.getroot()
for country in root.findall('country'):
name = country.find('name').... | null | soccer/migrations/0002_add_countries.py | 0002_add_countries.py | py | 1,344 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.Migration",
"line_number": 33,
"usage_type": "attribute"
},
{
... |
294145458 | from django.contrib import admin
from django.urls import path, include
from . import views
urlpatterns = [
path('admin/', admin.site.urls),
path('', views.returnToHomeView.as_view()),
path('booksystem/', include('booksystem.urls')),
path('home/', include('home.urls')),
path('accounts/', include('ac... | null | onlinesystem/onlinesystem/urls.py | urls.py | py | 389 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "dja... |
470826291 | import os
import secrets
from PIL import Image
from flask import render_template, url_for, flash, redirect, request, abort
from flask_login import login_user, current_user, logout_user, login_required
from . import app, db, bcrypt
from .models import User, Post
from .forms import RegistrationForm, LoginForm, AccountUp... | null | Flask_Blog/flaskblog/routes.py | routes.py | py | 8,209 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Post.query.all",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "models.Post.query",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "flask.render... |
531533848 | import time
import unittest
import requests
from interface.K12edu.common.assert_msg import assert_res
from interface.K12edu.common.save_draft import save_draft_for_works
from interface.K12edu.common.parameter_for_others import ParameterForOthers
from interface.K12edu.common.picture_list_code import turtle_code
clas... | null | interface/K12edu/testcase/works_controller.py | works_controller.py | py | 7,775 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "interface.K12edu.common.parameter_for_others.ParameterForOthers",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "interface.K12edu.common.parameter_for_others.ParameterForO... |
25718038 | import numpy as np
import pandas as pd
from sklearn.preprocessing import LabelEncoder
import time
import datetime
import gc
from sklearn.model_selection import KFold, cross_val_score, train_test_split
from sklearn.model_selection import StratifiedKFold
from sklearn.metrics import roc_auc_score, log_loss
import lightgbm... | null | baseline.py | baseline.py | py | 5,718 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"li... |
228214417 | from django.urls import path
from main import views
urlpatterns = [
path('', views.index,name='index'),
path('article/<int:pk>', views.article, name='get_article'),
path('author/<int:pk>', views.author, name='author'),
path('create', views.create, name='create'),
path('article',views.article1,name... | null | main/urls.py | urls.py | py | 333 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "main.views.index",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "main.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
188776594 |
""" Main Script to plot Figure 1 of the Gold paper """
import numpy as np
from glob import glob
import os, sys
from ase.thermochemistry import HarmonicThermo, IdealGasThermo
import mpmath as mp
from ase.io import read
from ase.db import connect
import matplotlib
from ase.units import kB
import csv
from scipy.optimize... | null | examples/main.py | main.py | py | 2,726 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.system",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "glob.glob",
... |
280507922 | import sys
import time
import struct
import subprocess
import numpy as np
from scipy import signal
import PyQt5
from pyqtgraph.Qt import QtCore, QtGui
import pyqtgraph as pg
import pyqtgraph.ptime as ptime
import cubehelix
import jet
import viridis
import matplotlib.pyplot as plt
def get_raw_data_from_file(fname,off... | null | pyqtgraph_get_phase&doppler.py | pyqtgraph_get_phase&doppler.py | py | 11,681 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "subprocess.check_output",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_n... |
23074062 | #!/usr/bin/env python
#coding=utf-8
# Filename: common.py
'''
通用基础方法
@author: 15th
@data: 2017.2.27
'''
import os
import functools
from platform import system as platformsystem
_MAX_LENGTH = 80
_PLATFORM = platformsystem()
# 枚举类
def enum(*sequential, **named):
'''
枚举类
'''
enums = dict(zip(sequential... | null | simpleat/core/common.py | common.py | py | 2,702 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "platform.system",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
566209134 | import matplotlib.pyplot as plt
import commands
import time
i = 0
tempo =600
x=[]
y1 = list()
y2 = list()
y3 = list()
y4 = list()
y5 = list()
y6 = list()
plt.ion() #Turn interactive mode on
fig = plt.figure()
rect = fig.patch
rect.set_facecolor('#31312e')
def plotaGrafico(num, x, y, color, link):
ax = fig.add_... | null | ext/GraficosLinks2.py | GraficosLinks2.py | py | 4,339 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matp... |
505629048 | import numpy as np
from sklearn.base import TransformerMixin
from rpy2.robjects.packages import importr
import rpy2.robjects.numpy2ri
rpy2.robjects.numpy2ri.activate()
msq =importr("metagenomeSeq")
class CSSNormaliser(TransformerMixin):
def __init__(self,log=False):
"""
log: boolean
wh... | null | CSSNormaliser.py | CSSNormaliser.py | py | 900 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rpy2.robjects.packages.robjects.numpy2ri.activate",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "rpy2.robjects.packages.robjects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rpy2.robjects.packages",
"line_number": 6,
"usage_ty... |
394878039 | from sklearn.linear_model import Lasso
from sklearn.pipeline import make_pipeline
from sklearn.compose import ColumnTransformer
from sklearn.preprocessing import OneHotEncoder
from server.ml_estimators import BaseMLEstimator
from server.ml_data import BettingMLData
from server.data_config import TEAM_NAMES
CATEGORY_C... | null | backend/server/tests/fixtures/test_estimator.py | test_estimator.py | py | 1,018 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.pipeline.make_pipeline",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.compose.ColumnTransformer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.OneHotEncoder",
"line_number": 16,
"usage_type": "... |
250752592 | from django.db import connection, models
from django.template.defaultfilters import slugify
from django.conf import settings
from django.core.exceptions import SuspiciousOperation, ValidationError
from django.contrib.auth.decorators import login_required
from rest_framework.decorators import api_view
from rest_framewo... | null | project/feed/feed_view.py | feed_view.py | py | 4,673 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.DateTimeField",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 87,
"usage_type": "name"
},
{
"api_name": "django.core.exceptions.ValidationError",
"line_number": 89,
"usage_type": "name"
},
{... |
166779247 | #!python
#
# The Python Imaging Library.
# $Id$
#
# convert image files
#
# History:
# 0.1 96-04-20 fl Created
# 0.2 96-10-04 fl Use draft mode when converting images
# 0.3 96-12-30 fl Optimize output (PNG, JPEG)
# 0.4 97-01-18 fl Made optimize an option (PNG, JPEG)
# 0.5 98-12-30 fl Fixed... | null | Pdf_docx_pptx_xlsx_epub_png/source/Pillow-4.0.0.data/scripts/pilconvert.py | pilconvert.py | py | 2,348 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.exit",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "getopt.getopt",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 47... |
84815816 | import json
import requests
from collections import OrderedDict
import urllib.request
import urllib.parse
f = open('/home/ubuntu/taobao/static/asstoken.txt', 'r')
asstoken=f.read() #获取asstoken
f.close()
#注册成功通知
template_zhucechenggong="lk0cr1UMS2S8dbQhNVjJVS7-jmmwliY2QUcNX8Oes2Y"
template_tixianchenggong=... | null | static/bak_sendmessege.py | bak_sendmessege.py | py | 3,600 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.post",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number"... |
130374204 | from typing import Callable
import pandas as pd
import pytest
import requests
from pybaseball.team_batting import team_batting, _FG_TEAM_BATTING_URL
@pytest.fixture()
def sample_html(get_data_file_contents: Callable) -> str:
return get_data_file_contents('team_batting.html')
@pytest.fixture()
def sample_proces... | null | tests/pybaseball/test_team_batting.py | test_team_batting.py | py | 982 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Callable",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"l... |
315397204 | #!/usr/bin/env python
# coding: utf-8
# In[20]:
import pandas as pd
df = pd.read_csv('amc.csv',index_col=[0])
# In[21]:
import plotly.express as px
from plotly.subplots import make_subplots
fig = px.line(df, x="Time", y="Price", title='AMC Data')
fig2 = px.line(df, x="Time", y="GEX", title='AMC DATA')
fig2.upd... | null | Notebook Reddit Job AMC.py | Notebook Reddit Job AMC.py | py | 1,080 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "plotly.express.line",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "plotly.express",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "plotly.express.line... |
436058982 | import mysql.connector
import requests
import json
import time
from datetime import datetime
with open('formatedAddressViacep-log.txt', 'w') as hora:
hora.write('O programa iniciou as {}'.format(datetime.now().time()))
hora.write('\n')
hora.close()
# Ready config file
config = json.load(open('Connection/c... | null | Location/formatedAddressViacep.py | formatedAddressViacep.py | py | 3,142 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mysql.connector.conne... |
587226704 | import json
from datetime import datetime
GUESTBOOK_ENTRIES_FILE = "entries.json"
entries = []
def init():
global entries
global next_id
try:
f = open(GUESTBOOK_ENTRIES_FILE)
entries = json.loads(f.read())
f.close()
m = -1
for ii in entries:
if int(ii['... | null | model.py | model.py | py | 1,527 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"... |
585354616 | # -*- coding: utf-8 -*-
"""
PE_0043
Sub-string divisibility
The number, 1406357289, is a 0 to 9 pandigital number because it is made up of
each of the digits 0 to 9 in some order, but it also has a rather interesting
sub-string divisibility property.
Let d1 be the 1st digit, d2 be the 2nd digit, and so on. In thi... | null | PE_0043/PE_0043.py | PE_0043.py | py | 2,486 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "timeit.default_timer",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "timeit.default_timer",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "iter... |
82308530 | #%%
import tensorflow as tf
import numpy as np
import argparse
import importlib
from typing import Optional
from deeper.utils.function_helpers.decorators import inits_args
import os
tf.keras.backend.set_floatx("float64")
class BaseApp():
def __init__(
self,
module_nm:str,
model_args:d... | null | cli/app.py | app.py | py | 3,564 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.keras.backend.set_floatx",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 18,
"usage_type": "name"
},
{
"api_nam... |
102087656 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:HuangManyao
from django.template import Library
from django.shortcuts import reverse
register = Library()
@register.simple_tag()
def add_class(field, class_str):
return field.as_widget(attrs={'class': class_str})
@register.simple_tag()
def my_... | null | apps/myadmin/templatetags/admin_customer_tags.py | admin_customer_tags.py | py | 472 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.template.Library",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.reverse",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.reverse",
"line_number": 19,
"usage_type": "call"
}
] |
524795459 | from django.shortcuts import render_to_response
from django.http import HttpResponse
from django.http import HttpResponseRedirect
from django.core.urlresolvers import reverse
from django.core import serializers
from django.utils import simplejson
from django.contrib.auth.decorators import login_required
import courses... | null | mysite/mainapp/views.py | views.py | py | 5,604 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dnd.DNDSession",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "mysite.mainapp.models.StudentAvailability.objects.filter",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "mysite.mainapp.models.StudentAvailability.objects",
"line_number": 32... |
245946852 | import json
import requests
# disable https warning from python
# source: https://stackoverflow.com/questions/27981545/suppress-insecurerequestwarning-unverified-https-request-is-being-made-in-pytho
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(Inse... | null | thingworx_analytics_scripts/predictAnalyticsModel.py | predictAnalyticsModel.py | py | 2,204 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.packages.urllib3.exceptions.InsecureRequestWarning",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "requests.packages",
"line_number": 8... |
435319541 | # -*- coding: utf-8 -*-
import json
from django.http import HttpResponse, HttpResponseRedirect, Http404
# decorator
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_http_methods
from arclib.django.object import ArcReturnJSONObject
from stats.models import SearchK... | null | stats/apis.py | apis.py | py | 1,419 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "stats.models.SearchKeyword",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django... |
407460224 | import numpy as np
from typing import Tuple, Union
def pixel2meter(coordinates: np.ndarray, dimension: np.ndarray, resolution: float) \
-> Tuple[Union[int, float, np.ndarray], Union[int, float, np.ndarray]]:
"""
transforms the pixel coordinate of a map image to the corresponding metric dimensions
... | null | menge_card_loader/src/MengeMapParser/ParserUtils/coordinate_transform.py | coordinate_transform.py | py | 2,022 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.ndarray",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_n... |
439100304 |
import argparse
import re
import tensorflow as tf
import keras.backend.tensorflow_backend as KTF
from keras.utils.generic_utils import get_custom_objects
from keras import backend as K
from keras.utils import to_categorical
from keras.models import Sequential
from keras.layers import Bidirectional, RNN, LSTM, GRU,... | null | hw4/text_sentiment_classification-rnn.py | text_sentiment_classification-rnn.py | py | 12,412 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.ConfigProto",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "keras.backend.tensorflow_backend.set_session",
"line_number": 48,
"usage_type": "call"
},
{... |
445851669 | """
Module contains singleton instance QApplication
"""
import logging
import sys
from PyQt5.QtNetwork import QLocalSocket, QLocalServer
from PyQt5.QtWidgets import QApplication
log = logging.getLogger(__file__)
__all__ = ["SingleInstanceApplication"]
class SingleInstanceApplication(QApplication):
"""
Cus... | null | vid2audio/qt/singleinstanceapplication.py | singleinstanceapplication.py | py | 1,947 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtNetwork.QLocalServer",
"line_number": 26,
"usage_type": "name"
},
{
"api_n... |
464141740 | from collections import deque
N = int(input())
INF = 10**12
# tree = [[INF for _ in range(N)]for __ in range(N)]
tree = [[]for __ in range(N)]
for i in range(N-1):
u, v, w = [int(n) for n in input().split()]
u -= 1
v -= 1
tree[u].append((v, w))
tree[v].append((u, w))
color = [INF for __ in range(N... | null | problems/Beginner/D/126.py | 126.py | py | 913 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 19,
"usage_type": "call"
}
] |
185841831 | from io import BytesIO
import time
from django.shortcuts import render, HttpResponse, redirect
from django.urls import reverse
from django.views.generic import View
from django.http import Http404
from django.db.models import Q
from utils.check_code import create_validate_code
from .models import UserProfile, UserFollo... | null | user/views.py | views.py | py | 6,127 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "io.BytesIO",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "utils.check_code.create_validate_code",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.HttpResponse",
"line_number": 25,
"usage_type": "call"
},
{
"ap... |
314974456 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Project : 01-QT
# @Time : 2018/5/26 0:45
# @Author : QinZai
# @File : form.py
# @Software: PyCharm
import sys
from PyQt5 import uic, QtCore, QtWidgets
from PyQt5.QtWidgets import QWidget, QPushButton, QApplication,QMessageBox
from PyQt5.QtCore import... | null | 01-QT/01-Dome/form.py | form.py | py | 1,111 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.uic.loadUiType",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "PyQt5... |
62990141 |
# coding: utf-8
# In[2]:
import os
database_path=r'C:\Users\nhurst\Desktop\dataset'
source = os.path.join(database_path,'PASCAL_format')
destiny = os.path.join(database_path,r'PASCAL_format\Empty')
#source = r'C:\Users\langh\Dropbox\MCC-I Masters\Thesis\A6\dataset\PASCAL_format'
#destiny = r'C:\Use... | null | 1. Satellite/Scripts/3. jittering/4. MoveEmpty.py | 4. MoveEmpty.py | py | 2,457 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
34414577 | from django.conf.urls import url
from django.views.generic import ListView
from .views import (add_material, MaterialDetailView, MaterialDeleteView,
add_image, delete_image, add_video, delete_video,
add_document, delete_document, delete_link, add_link,
add_gat... | null | thinktank/materials/urls.py | urls.py | py | 1,496 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "views.material_view",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "vie... |
588273290 | # -*- coding: utf-8 -*-
from odoo import api, fields, models, tools, _
from odoo.exceptions import ValidationError
from datetime import date, datetime, timedelta
class formacion(models.Model):
""" Modelo de Formacion """
_name = 'formacion'
#_rec_name = 'id_cliente'
#_description = 'Cartera de... | null | models/formacion.py | formacion.py | py | 1,953 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "odoo.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Char",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "odoo.fields",
"... |
646731179 | from bs4 import BeautifulSoup
import requests
import feedparser
import os
import random
import requests_random_user_agent
websites = []
from_one_ip = 10
forbidden = "/.:?.,=+& "
parse_dict = {'bbc':{'header':{'tag': "h1", 'class':"story-body__h1"}, 'paragraph':{'tag':"div", 'class':"story-body__inner"}... | null | stonks/scripts/parser_proxy_rss/quick_parse.py | quick_parse.py | py | 7,546 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "feedparser.parse",
"lin... |
450958488 | import matplotlib.pyplot as plt
import numpy as np
import os
def plot(dictionary, folder, title="Plot"):
percentages = {1: [], 2: [], 5: [], 10: []}
# Hyper parameter for plotting (How many episodes to average over per scatter):
interval = 100
for k in dictionary.keys():
for episode in range(0, len(dictionary... | null | ntm/utils/scatterplot.py | scatterplot.py | py | 1,358 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.ylim",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "mat... |
102734553 | import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions
from beam_nuggets.io import relational_db
with beam.Pipeline(options=PipelineOptions()) as p:
months = p | "Reading month records" >> beam.Create([
{'name': 'Jan', 'num': 1},
{'name': 'Feb', 'num': 2}... | null | Apache Beam Postgres/Apache Beam Postgres-Write data.py | Apache Beam Postgres-Write data.py | py | 854 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "apache_beam.Pipeline",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "apache_beam.options.pipeline_options.PipelineOptions",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "apache_beam.Create",
"line_number": 6,
"usage_type": "call"
},
... |
86718714 | import numpy as np
import cv2
from collections import namedtuple
def ordered_points(points):
"""
Orders points for a rectangle
:param points: array with four 2d points
:return: named tuple assigning points to corners
"""
points = np.squeeze(points)
s = points.sum(axis=1)
top_left = po... | null | vision_util.py | vision_util.py | py | 1,605 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.squeeze",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.argmin",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number... |
117326648 | from django.urls import path
from rest_framework.urlpatterns import format_suffix_patterns
from . import views
urlpatterns = [
path('users/', views.UserList.as_view()),
path('users/<int:pk>/', views.UserDetail.as_view()),
path('posts/', views.PostList.as_view()),
path('posts/<int:pk>/', views.PostDeta... | null | api/urls.py | urls.py | py | 498 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
191238987 | import matplotlib.pylab as plt
def plot_pie(map):
labels = []
sizes = []
for x in map:
labels.append(x)
sizes.append(map[x])
# labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
# sizes = [15, 30, 45, 10]
# explode = (0, 0.1, 0, 0) # only "explode" the 2nd slice (i.e. 'Hogs')
fig1, ... | null | plotplay/plot_pie.py | plot_pie.py | py | 532 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pylab.subplots",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pylab",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.pylab.show",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matp... |
230950694 | from django.shortcuts import render
from django.urls import reverse_lazy
# Create your views here.
from django.views.generic import ListView,DetailView,UpdateView,DeleteView,CreateView
from . import models
from django.contrib.auth.mixins import LoginRequiredMixin
from .models import Comment
class ArticleListView(ListV... | null | articles/views.py | views.py | py | 1,162 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.Article",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 13,
"usage_type": "name"
... |
394046209 | import concurrent.futures
import datetime
import json
import logging
import queue
import random
import socket
import time
import elasticsearch
import thespian.actors
from esrally import exceptions, metrics, track, client, PROGRAM_NAME
from esrally.utils import convert, console, io
logger = logging.getLogger("rally.dr... | null | esrally/driver.py | driver.py | py | 47,478 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "esrally.track",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "time.perf_counter",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "esrally.metrics",
... |
105598559 | import rti_class_v2 as aRTIClass
import mabd_class_v1 as anMABDClass
import accuracy_class as aAccuracyClass
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import time
########################
# Import data
########################
# True Crossing Data - holds the time and state of th... | null | run_rti_v2_for_xing_times_v2.py | run_rti_v2_for_xing_times_v2.py | py | 2,611 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mabd_class_v1.myMABDClass",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "rti_class_v2.myRTIClass",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "accur... |
90215126 | # creation date: Feb 20 2020
# author: group 5
# contents of the file: test code for BlueTooth connection
import bluetooth
import TestLED
server_sock = bluetooth.BluetoothSocket(bluetooth.RFCOMM)
port = 1
server_sock.bind(("",port))
server_sock.listen(1)
client_sock,address = server_sock.accept()
print ("Accepted con... | null | SmartLamp/ECE492_Group5_codes/Test/TestBT.py | TestBT.py | py | 999 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bluetooth.BluetoothSocket",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bluetooth.RFCOMM",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "TestLED.Color",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "TestLED.L... |
331336962 | import time
from games.base_classes import MuZeroConfigBase
from threading import Thread
from torch.utils.tensorboard import SummaryWriter
import numpy
import torch
import models
class Trainer:
"""
Class which run in a dedicated thread to train a neural network and save it
in the shared storage.
"""
... | null | trainer.py | trainer.py | py | 6,129 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "games.base_classes.MuZeroConfigBase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.utils.tensorboard.SummaryWriter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "models.MuZeroNetwork",
"line_number": 23,
"usage_type": "call"
... |
228960885 | #!/usr/bin/env python
from flask import render_template, redirect, request, Flask, url_for, abort, send_from_directory
from flask_wtf import FlaskForm, csrf
from wtforms import StringField, FieldList, FormField, SubmitField, IntegerField, FloatField, validators, BooleanField
import yaml, sys, binascii, os
from server_... | null | MASS-webserver.py | MASS-webserver.py | py | 10,329 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_wtf.csrf.CSRFProtect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_wtf.csrf",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.urandom",
... |
586374127 | from flask import jsonify
from server.controllers.controller_interface import ControllerInterface
class GateController(ControllerInterface):
"""Initialize flask routes for the force commands and gate status update."""
def __init__(self, state_machine):
self.state_machine = state_machine
def add_r... | null | server/controllers/gate_controller.py | gate_controller.py | py | 1,723 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "server.controllers.controller_interface.ControllerInterface",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 27,
"usage_type": "call"
},
{... |
644791466 | '''
Created on Jan 7, 2016
@author: SG0946321
'''
import requests
from com.sabre.api.sacs.rest.TokenHolder import TokenHolder
class BaseRestGetCall:
def __init__(self, url, requestObject):
self.requestObject = requestObject
self.url = url
self.tokenHolder = TokenHolder()
... | null | SACS-Python-master/com/sabre/api/sacs/rest/BaseRestCall.py | BaseRestCall.py | py | 1,666 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "com.sabre.api.sacs.rest.TokenHolder.TokenHolder",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "com.sabre.api.sacs.rest.TokenHolder.TokenHolder",
"line_number": 29,
"usage_... |
259634836 | """MySite101 URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-bas... | null | Django/MySite101/MySite101/urls.py | urls.py | py | 1,423 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.urls.pat... |
150061663 | from scrapy.selector import Selector
from scrapy.http import Request
from vtvspider_dev import VTVSpider, get_nodes, extract_data, extract_list_data
from scrapy_spiders_dev.items import SportsSetupItem
import re
import datetime
TEAM_LIST = ('NE', 'BAL', 'CIN', 'CLE', 'CHI', 'DET',
'GB', 'MIN', 'HOU', 'IND... | null | SPORTS/sports_spiders/scripts/dev_scripts5/nfl_roster.py | nfl_roster.py | py | 5,346 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "vtvspider_dev.VTVSpider",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "scrapy.http.Request",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "... |
584643666 | """
Usage: run(<json file>) --> result
"""
import numpy as np
import sklearn, json, pickle
from sklearn.neural_network import BernoulliRBM
from sklearn.pipeline import Pipeline
from sklearn import svm, cross_validation
def run(file):
#Parse json file
with open(file) as data_file:
... | null | Hotels.py | Hotels.py | py | 1,032 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.neural_network.BernoulliRBM",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.SVC",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn... |
556823069 | ### -*- coding: utf-8 -*- #############################################
# Разработано компанией Ключевые Решения (http://keysolutions.ru/)
# Все права защищены, 2006-2007
#
# Developed by Key Solutions (http://keysolutions.ru/)
# All right reserved, 2... | null | interfaceswitcher/trunk/browser/viewadapter.py | viewadapter.py | py | 2,127 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "zope.proxy.getProxiedObject",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "interfaceswitcher.interfaceswitchervocabulary.interfaceswitchervocabulary.interfaceSwitcherVocabulary",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "zope.interface.... |
49293977 | #!/usr/bin/env python
# coding: utf-8
# produces: wants.tsv -> wants.tm
from common import \
remove_bad_symbols, \
read_games, \
WANTS_FILE, \
WANTS_TM_FILE, \
WANTS_OPTIONS
def main():
games = read_games()
prepare_wants(games)
def remove_symbols(string: str) -> str:
return remove_b... | null | prepare_wants.py | prepare_wants.py | py | 977 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "common.read_games",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "common.remove_bad_symbols",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "common.WANTS_FILE",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "com... |
94095744 | #!/usr/bin/env python3
import os, sys
import asyncio
import random
import discord
from discord.ext import commands
# This file will have the discord bot functions. Look at discord.py documentation
# Currently absolutely barebones functionality
dirname, pyfilename = os.path.split(os.path.abspath(sys.argv[0]))
tfilen... | null | discord_twitcher.py | discord_twitcher.py | py | 2,721 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.split",
"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": "sys.argv",
"line_numbe... |
243848257 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from __future__ import annotations
from enum import Enum, auto
from os import linesep
from typing import List, Union
class IndentType(Enum):
SPACES = auto()
TABS = auto()
class StringBuilder:
indent_tab: str = "\t"
new_line: str = "\n"
default_in... | null | scriptgen/core/_string_builder.py | _string_builder.py | py | 4,805 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "enum.Enum",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "enum.auto",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 40,
... |
168565422 | #!/usr/bin/env python
# -*- encoding:utf-8 -*-
# Author: colin
# Email: colin3310@sina.com
# Create Date: 2014-12-31
from bson import ObjectId,DBRef
from framework.data import metadb as mdb
from framework.data import db
def get_list(context):
condition = dict()
parentid = ""
if "condition" in context._... | null | core/platform/rulelogics/object.py | object.py | py | 13,613 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "framework.data.db",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "bson.ObjectId",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "framework.data.db",
"line_number": 77,
"usage_type": "name"
},
{
"api_name": "framework.data.meta... |
244711036 | from django.shortcuts import render
from django.http import JsonResponse
import pandas as pd
from .models import PredResults
def predict(request):
return render(request, 'predict.html')
def predict_chances(request):
if request.POST.get('action') == 'post':
#Receiving data from client
sepal... | null | predict/views.py | views.py | py | 1,609 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "models.PredResults.objects.create",
"line_number": 32,
"usage_type": "call"
},
{
"api_n... |
146084955 | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | null | models/official/detection/modeling/maskrcnn_model.py | maskrcnn_model.py | py | 9,351 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "modeling.base_model.Model",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "modeling.base_model",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "modeling.architecture.factory.backbone_generator",
"line_number": 43,
"usage_type": "c... |
246215113 | from plone.formwidget.namedfile import utils
from plone.formwidget.namedfile.interfaces import INamedFileWidget
from plone.formwidget.namedfile.interfaces import INamedImageWidget
from plone.namedfile.file import NamedFile
from plone.namedfile.file import NamedImage
from plone.namedfile.interfaces import INamed
from pl... | null | plone/formwidget/namedfile/converter.py | converter.py | py | 3,820 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "z3c.form.converter.BaseDataConverter",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "zope.component.adapts",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "plone.namedfile.interfaces.INamedField",
"line_number": 22,
"usage_type": "arg... |
99788310 | # -*-coding:utf-8 -*-
"""
@author : sc
@Function : 爬虫——爬取爱爱医医疗网站文章链接
"""
from bs4 import BeautifulSoup
import requests
import random
import sys
#reload(sys)
import importlib,sys
import os
importlib.reload(sys)
headers_pool = [{'User-Agent':'Mozilla/5.0 (Windows NT 6.2) \
AppleWebKit/536.3 (KHTML, l... | null | git/爬虫/爬虫/爱爱医/main.py | main.py | py | 1,770 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "importlib.reload",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numbe... |
13717683 | from jinja2 import Environment, FileSystemLoader
import os.path
import time
def log(*args, **kwargs):
# time.time() 返回 unix time
# 如何把 unix time 转换为普通人类可以看懂的格式呢？
format = '%Y-%m-%d %H:%M:%S -----' # 最常用的时间格式
value = time.localtime(int(time.time()))
dt = time.strftime(format, value)
print(dt, ... | null | day022/utils.py | utils.py | py | 1,184 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.localtime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.path.dirname",
"line... |
430619824 | #!/usr/bin/python
import argparse
import csv
import json
import logging
import pybluecat
from ipaddress import ip_address, ip_network
from sys import exit
def print_ip_info(ip_obj, network):
print('Hostname : {}'.format(ip_obj['name']))
print('MAC Address: {}'.format(ip_obj['properties']['macAddress']))
... | null | pybluecat/tools/rundeck_dhcp_bulk_request.py | rundeck_dhcp_bulk_request.py | py | 12,807 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.debug",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pybluecat.entity_to_json",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"l... |
436724671 | import functions as f
import sys
import os
import cv2
import argparse
import csv
from tqdm import tqdm
from classify import KanaClassifier
import classifyThree
def main():
ap = argparse.ArgumentParser()
ap.add_argument('-m', '--model', required=True, help='path to trained model')
ap.add_argument('-l', '--l... | null | predictTestData.py | predictTestData.py | py | 2,471 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "classify.KanaClassifier",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "classifyThree.strategy_max_each",
"line_number": 23,
"usage_type": "attribute"
},
{
... |
310324560 | from dataclasses import dataclass
from unittest import mock
import pytest
from app.modules.shared_kernel.message_bus import BaseEvent, MessageBus
@dataclass(frozen=True)
class SomeEvent(BaseEvent):
message: str
@dataclass(frozen=True)
class SomeOtherEvent(BaseEvent):
id: int
@pytest.fixture()
def bus() ... | null | app/modules/shared_kernel/message_bus_test.py | message_bus_test.py | py | 1,878 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.modules.shared_kernel.message_bus.BaseEvent",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.modules.shared_kernel.message_bus.BaseEvent",
"line_number": 15,
... |
557033392 | from pymatgen.io.vasp.inputs import Poscar
from pymatgen.io.vasp.outputs import Vasprun
from subprocess import call
import numpy as np
from flare.struc import Structure
from typing import List, Union
from json import dump, load
from flare.util import NumpyEncoder
import os, shutil
def check_vasprun(vasprun: Union[str,... | null | flare/dft_interface/vasp_util.py | vasp_util.py | py | 4,370 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Union",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pymatgen.io.vasp.outputs.Vasprun",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pymatgen.io.vasp.outputs.Vasprun",
"line_number": 18,
"usage_type": "call"
},
{
"ap... |
477632669 | # -*- encoding:utf-8 -*-
import os
from io import open
from setuptools import setup
from light_progress import __version__
document_file = os.path.join(os.path.dirname(__file__), 'README.rst')
with open(document_file, 'r', encoding='utf-8_sig') as f:
long_description = f.read()
setup(
name='light-progress... | null | pypi_install_script/light-progress-0.2.1.1.tar/setup.py | setup.py | py | 825 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number"... |
229149688 | from flask import Flask
from flask import render_template
from flask import request
import pymysql
import json
from django.shortcuts import render_to_response
import os
os.environ['DJANGO_SETTINGS_MODULE'] = 'mysite.settings'
DB_HOST = '127.0.0.1'
DB_PORT = 3306
DB_USER = 'root'
DB_PWD = ''
DB_NAME = 'msystem'
DB_CHARS... | null | TEST/flask/search.py | search.py | py | 1,531 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.request.args.g... |
132629415 | from django.contrib.staticfiles.storage import staticfiles_storage
from django.urls import path
from adventureProjectSia.advanture_app import views
from adventureProjectSia.advanture_app.views import article_details_or_comment, unauthorised_message, \
delete_article, like_article, news_and_events
urlpatterns = [
... | null | adventureForInspiration/adventureProjectSia/advanture_app/urls.py | urls.py | py | 956 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "adventureProjectSia.advanture_app.views.HomeView.as_view",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "adventureProjectSia.advanture_app.views.HomeView",
"line_number": 9,
... |
234541958 | import zipfile
import shutil
import os
from contextlib import closing
#returns a string of xml or an empty string if error
def get_xml(fname):
zf = zipfile.ZipFile(fname)
try:
#get document xml from docx
return zf.read('word/document.xml')
except:
return ""
def create_xml_file(... | null | docHandler.py | docHandler.py | py | 1,219 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "zipfile.ZipFile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
584255805 | import logging
import time
from AndroidRunner.Device import Device
logger = logging.getLogger(__name__)
def tap(device: Device, x: int, y: int, sleep = 4):
device.shell("input tap %s %s" % (x, y)) # somehow stops after this...
time.sleep(sleep)
def write_text(device: Device, text: str, sleep = 1):
device... | null | experiments/scripts/interaction_web_7pro.py | interaction_web_7pro.py | py | 5,983 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "AndroidRunner.Device.Device",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "AndroidRunner.D... |
543465509 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 17 13:26:49 2014
@author: Sayzar
"""
from scipy.stats import norm
import random
def normalDisPrior(fileName, avgBurstTime, procNumber, priorNum):
normalDisList = norm.rvs(avgBurstTime, avgBurstTime/6 , procNumber)
priorList = norm.rvs(priorNum, 9/6, procNumber)
... | null | CPUSchedulingSimulator/processScript.py | processScript.py | py | 854 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.stats.norm.rvs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "scipy.stats.norm.rvs",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.stat... |
416185083 | from django.conf.urls import patterns, include, url
from django.contrib import admin
INTERNAL = 1
EXTERNAL = 2
APPLICATION = 3
CALL_TYPE = {(INTERNAL,'Internal'),(EXTERNAL,'External'),}
handler404 = 'Users.views.home.home.error404'
handler500 = 'Users.views.home.home.error500'
urlpatterns = patterns('',
# Examples... | null | ProfBrew/urls.py | urls.py | py | 2,558 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
102473656 | from instence import Instence
from torch.utils.data import DataLoader
from tqdm import tqdm
import torch
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self):
self.reset()
def reset(self):
self.val = 0
self.avg = 0
self.sum =... | null | Src/train.py | train.py | py | 3,324 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "instence.Instence",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "instence.Instence",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "torch... |
65394912 | """
Upload blueprints:
Create the blueprints for the upload route.
"""
import os, logging
from airflow.www.app import csrf
from flask import Blueprint, jsonify, request
from flask_admin import BaseView, expose
from flask_login import login_required
from airflow.www import utils as wwwutils
from PySmile_airflow.utils im... | null | airflow-schneider-plugin/plugins/blueprints/bp_upload.py | bp_upload.py | py | 1,440 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "flask.request... |
159842387 | import boto3, time
ssm = boto3.client('ssm')
#i-070972dd8eafb4cf1
def getSSMCommandResults(cmd_id,instanceId):
resultList = []
kwargs = {"CommandId":cmd_id,"InstanceId":instanceId}
result = ssm.get_command_invocation(**kwargs)['StandardOutputContent']
resultList = result.split('\n')
... | null | stepFunctionSandbox/func2.py | func2.py | py | 1,824 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boto3.client",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
}
] |
353106749 | # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | null | benchmark/torch/ES/actor.py | actor.py | py | 4,474 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "parl.env.compat_wrappers.CompatWrapper",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "obs_filter.MeanStdFilter",
"line_number": 35,
"usage_type": "call"
},
{
"api_name... |
90296237 | import os
import sys
import json
import yaml
import re
import string
from platform import uname
from rich.console import Console
import subprocess
from dotenv import find_dotenv
from typing import Dict, Union
from collections import OrderedDict
from doing.exceptions import ConfigurationError, devops_error_tips
from r... | null | src/doing/utils.py | utils.py | py | 7,160 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rich.traceback.install",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "rich.console.Console",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.escape",
"l... |
497073477 | import json
import numpy as np
import models
import utils
import pyndri
import collections
from scipy.sparse import lil_matrix
def plm(index, word_prior, best_doc_indices, query_word_ids, k, mu):
scores_per_doc = {}
for doc_id in best_doc_indices: # doc_id is shifted to the right in tf matrix (1 -> 0)
... | null | Assignment_2/plm.py | plm.py | py | 4,675 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.apply_along_axis",
"lin... |
137714711 | import numpy as np
import scipy.stats
import matplotlib.pyplot as plt
import seaborn as sns
rc={'lines.linewidth' : 2, 'axes.labelsize': 18, 'axes.titlesize': 18}
sns.set(rc=rc)
#We load data that will use numpy with np.loadtxt (there is another type for csvs)
data_txt= np.loadtxt('data/collins_switch.csv', delimi... | null | l24.py | l24.py | py | 1,499 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seaborn.set",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
92116985 | from flask_app import app
from flask import Markup, render_template, request, session, url_for, redirect, flash, Response,\
jsonify
import json, csv
from models.data import DataRepo # @UnresolvedImport
from models import ZoneData # @UnresolvedImport
@app.route("/", methods=['GET'], defaults={"template":"d... | null | controllers/site/site_main.py | site_main.py | py | 2,774 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.data.DataRepo.get_any_ten_records",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.data.DataRepo",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "models.data.DataRepo.get_tasks_count_by_category",
"line_number": 17,
"usag... |
577678720 | from django.db import models
import datetime
list_types = (
("Phone", "Phone"),
("Email", "Email"),
("Mixt", "Mixt"),
)
class List(models.Model):
name = models.CharField(max_length=100, default="", verbose_name='Name')
date = models.DateField(auto_now=False, default=datetime.date.today)
reaso... | null | app/list/models.py | models.py | py | 543 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name"... |
26223650 | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2020 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... | null | pipeline/tests/builder/flow/test_node_output.py | test_node_output.py | py | 1,442 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.test.TestCase",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pipeline.builder.flow.NodeOutput",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pipeline.builder.flow.NodeOutput.PLAIN",
"line_number": 21,
"usage_type": "attribut... |
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