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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
249683287 | import requests
import matplotlib as plt
def Exchange_rates(Base, Destination):
data =requests.get('https://api.cryptonator.com/api/full/{}-{}'.format(Base, Destination))
Data = (data.json()['ticker']['markets'])
market = []
price = []
volume = []
for A in range(len(Data)):
... | null | File_1.py | File_1.py | py | 1,114 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.scatter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.annotate",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.title",... |
81329303 | import gpiozero
import cwiid
import time
from rpi_ws281x import *
robot = gpiozero.Robot(left=(17,18), right=(27,22))
print("Press and hold the 1+2 buttons on your Wiimote simultaneously")
wii = cwiid.Wiimote()
print("Connection established")
wii.rpt_mode = cwiid.RPT_BTN | cwiid.RPT_ACC
LED_COUNT = 8
LED_PIN ... | null | Chapter 6 - Adding RGB LEDs and Sound/neo_remote_control.py | neo_remote_control.py | py | 1,594 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gpiozero.Robot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cwiid.Wiimote",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cwiid.RPT_BTN",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cwiid.RPT_ACC",
"li... |
56040240 | import requests
import json
apikey = "fc0bffbf1a792d2b6d97f06456c19a4d451029e91318ac05ff671fa529efc769"
#Mimikatz Hashes
md5 = "6c042d2609b037b2adec7f2f2562ba6a"
sha1 = "7e577e3019408edfcc245faa4421d77655f2e447"
sha2 = "d429f6915975af38adf75e0bfce3195b54895e15cac3abbf790f8fa666ed87ee"
#Get Hashes from file... | null | HashSwapTest.py | HashSwapTest.py | py | 893 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
}
] |
72496438 | #!/usr/bin/env python3
__doc__ ='''
Version: pybash-0.0.5
Purpose:
- Mimicing `bash --verbose` on a line-by-line basis. Useful for
illustrating a bash session.
- pybash does not support do-done directives currently
- runs in verbose mode by default
Options:
--help print this help
--stderr print stder... | null | pybash.py | pybash.py | py | 14,631 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 192,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 192,
"usage_type": "attribute"
},
{
"api_name": "tzlocal.get_localzone",
"line_number": 193,
"usage_type": "call"
},
{
"api_name... |
358287425 | #!/usr/bin/env python
'''
tag_generator.py
Copyright 2017 Long Qian
Contact: lqian8@jhu.edu
This script creates tags for your Jekyll blog hosted by Github page.
No plugins required.
'''
import glob
import os
import yaml
post_dir = '_posts/'
tag_dir = 'tag/'
filenames = glob.glob(post_dir + '*md')
total_tags = []
... | null | tag_generator.py | tag_generator.py | py | 693 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "glob.glob",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 36,
"usage_type": "call"
}
] |
363599312 | import requests
import itertools as it
words = ["test", "worry", "heat", "take"]
request = requests.get(
"https://raw.githubusercontent.com/ehamiter/anagram/master/wordlist.txt"
)
out = dict()
for word in words:
out[word] = list()
for perm in it.permutations(word, r=4):
pair = "".join("{0}".forma... | null | activities/alan_iter.py | alan_iter.py | py | 575 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 13,
"usage_type": "call"
}
] |
115098097 | import datetime
import time
from google.appengine.ext import db
from models import Comments
from request import BlogRequestHandler
class AddComments(BlogRequestHandler):
"""
Class to add comments for the post
Only logged in user can post comments
"""
def get(self):
self.write('Hello comments')... | null | handlers/add_comments.py | add_comments.py | py | 907 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "request.BlogRequestHandler",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "google.appengine.ext.db.Key",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.db",
"line_number": 20,
"usage_type": "name"
},
{
"ap... |
613823726 | import pandas as pd
import h5py
#%%
def load_locs(path):
"""
Returns localization .hdf5 from picasso as pandas.DataFrame and corresponding .yaml as list of dictionaries.
Parameters
---------
readpath : str
Path to .hdf5 file as generated by Picasso
Returns
-------
locs :... | null | lbfcs/io.py | io.py | py | 1,844 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.HDFStore",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "picasso.io.load_info",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pandas.HDFStore",
... |
167326450 | import pyutils.csv
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
# TODO: Move this to lib?
def plot_correlation(
x_data,
y_data,
x_label='',
y_label='',
fig_title=''
):
# TODO: Read column names from spec
fig = plt.figure(fig_title, figsize=(10, 7))
ax11 = fi... | null | sample.py | sample.py | py | 8,122 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "mat... |
129678134 | from django.contrib.gis.geos import MultiPolygon
from django.utils import timezone
from django.core.exceptions import ObjectDoesNotExist
from django.db.models import QuerySet
from model_bakery import baker, seq
from monitoring.models import MonitoringRun
from monitoring.settings import WARNING_RESPONSE_TIME
from struc... | null | tests/baker_recipes/db_setup.py | db_setup.py | py | 14,311 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "structure.models.MrMapUser.objects.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "structure.models.MrMapUser.objects",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "structure.models.MrMapUser",
"line_number": 20,
"usage_typ... |
247732049 | # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
from ....Functions.init_fig import init_fig
def plot(
self,
fig=None,
ax=None,
sym=1,
alpha=0,
delta=0,
is_edge_only=False,
comp_machine=None,
is_show_fig=True,
save_path=None,
):
"""Plot the Machine in a matplotlib fi... | null | pyleecan/Methods/Machine/Machine/plot.py | plot.py | py | 3,046 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Functions.init_fig.init_fig",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.axis",
"line_number": 114,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 114,
"usage_type": "name"
},
{
"api_name":... |
112634241 | import os,time
import unittest
import requests
import random
from common import encrypt_oper, csv_oper, log_oper
from common.encrypt_oper import serialOrder
class V2_deposit(unittest.TestCase):
"""会员充值操作"""
def setUp(self):
self.baseurl = encrypt_oper.getURL('interfaceurl', 'newdeposit')
... | null | interface_testcase/Member_V2_withDrawal_test.py | Member_V2_withDrawal_test.py | py | 6,136 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "common.encrypt_oper.getURL",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "common.encrypt_oper",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "... |
162777489 | # Copyright 2018 Riki
#
# the purpose of this file is get information to answer the question
# tools: GoogleScraper
#
# =============================================================================
import multiprocessing
from GoogleScraper import scrape_with_config, GoogleSearchError
import time
import re
class Go... | null | google.py | google.py | py | 4,341 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "multiprocessing.Process",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "multiprocessing.Process.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 18,
"usage_type": "attribute"
},... |
94992653 |
from kivy.app import App
from kivy.uix.anchorlayout import AnchorLayout
from kivy.uix.button import Button
class DemoAPP(App):
def build(self):
lay1 = AnchorLayout(anchor_x="left", anchor_y="top")
bt1 = Button(text ="Click",
font_size ="20sp",
back... | null | 03.Layout/02.RightTop.py | 02.RightTop.py | py | 586 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "kivy.app.App",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "kivy.uix.anchorlayout.AnchorLayout",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "kivy.uix.button.Button",
"line_number": 9,
"usage_type": "call"
}
] |
417587678 | # Checkpoint 3
from PIL import Image
from PIL import ImageOps
import numpy as np
T_shirt = Image.open("T-shirt.png")
bag = Image.open("bag.png")
shoes = Image.open("shoes.png")
#np_T_shirt = np.array(T_shirt)
#np_bag = np.array(bag)
#bp_shoes = np.array(shoes)
newT_shirt=ImageOps.fit(T_shirt, (28,28), method=0, bleed... | null | labs/lab-09/image_handler.py | image_handler.py | py | 834 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.Image.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7... |
636521378 | import re
import logging
from defaults import Default, Text, Trait
from raceDefault import RaceDefault
from subRace import SubRace
from templates import TPL
import config
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class Race(RaceDefault):
def __init__(self, xml, bookname):
Defau... | null | races/race.py | race.py | py | 1,990 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "raceDefault.R... |
363820128 | #!/usr/bin/python
import sys
import math
import numpy as np
import matplotlib.pyplot as plt
from os import listdir
from os.path import isfile, join
#==================================
def DrawFig(filename):
x = []
avg = []
sdv = []
#average of log time
with open(filename) as f:
data = f.read()
data = ... | null | cs739/project3/data/statistic/hadoop_write.py | hadoop_write.py | py | 1,043 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "m... |
590861465 | # coding:utf-8
import re
from django.http import JsonResponse, HttpResponse
import settings
def get_url(urllist , parent='' , depth=0 , url_list=[]):
url_dict = {}.copy()
for entry in urllist:
url = entry.regex.pattern
if re.search('\(' , url) :
continue
#过滤正则表达式的URL地址
... | null | TheLazyDays/views.py | views.py | py | 2,019 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.search",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "TheLazyDays.urls.urlpatterns",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "TheLazyDays.url... |
104764520 | # coding: utf-8
import pandas as pd
import geopandas as gpd
from sqlalchemy import create_engine
from shapely.geometry import Point
import shapely.wkb
import numpy as np
import sys
from functools import reduce
from datetime import datetime
#su rasters
parametriRasters={"temperature": "t2m",
"precipi... | null | python/estrai_postgis.py | estrai_postgis.py | py | 7,834 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.date",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "s... |
582811945 | import config
import ImageFunctions
import RAPID
import random
import threading
# Show video feed in separate thread
cam_thread = threading.Thread(target=ImageFunctions.showVideo, args=(config.cam,), daemon=True)
cam_thread.start()
robtarget_pucks = []
puck_to_RAPID = 0
# Initialize robot communication, start motor... | null | ABB-pucks/main.py | main.py | py | 5,693 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Thread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ImageFunctions.showVideo",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "config.cam",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "RAPID.RAP... |
643990528 | import locale
import unittest
from datetime import datetime, timedelta
from canonicalwebteam.http import heuristics
class TestHeuristics(unittest.TestCase):
def test_custom_heuristic(self):
today = datetime.utcnow()
one_day_delta = timedelta(days=1)
tomorrow = today + one_day_delta
... | null | tests/test_heuristics.py | test_heuristics.py | py | 1,267 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "date... |
98432903 | # -*- coding: utf-8 -*-
import datetime
from babel.core import Locale
from sqlalchemy import func
from pyramid.view import view_config
from intranet3.utils.views import BaseView
from intranet3.models import User, PresenceEntry, Late, Absence, DBSession
from intranet3 import helpers as h
from intranet3.utils import ex... | null | src/intranet3/intranet3/views/presence.py | presence.py | py | 3,777 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "babel.core.Locale",
"li... |
2149887 | '''
This plots Trend charts of selected countries starting from April 01, 2020 until today.
Webscraping to GET JSON formatted response, then convert into DF
'''
import pandas as pd
import requests
import datetime
from matplotlib import pyplot as plt
cc:list = ["BD"]
countryName:list = ["Bangladesh"]
# cc:list = ["BD"... | null | myWebScrapping11__InProgress.py | myWebScrapping11__InProgress.py | py | 5,703 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.Data... |
514144981 | from __future__ import annotations
import logging
from typing import TYPE_CHECKING
from ...models import (
Planning,
)
from ..abc import (
Algorithm,
)
from ..utils import (
ThreeIndexModel,
)
if TYPE_CHECKING:
from typing import (
Type
)
from ..utils import (
Model,
)
l... | null | jinete/algorithms/exacts/milp.py | milp.py | py | 899 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "abc.Algorithm",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.Type",
... |
31603579 | #!/usr/bin/env python3
from __future__ import annotations
import abc
import argparse
import itertools
import functools
import fractions
import operator
import sys
import typing as typ
import collections
import z3
PARSER = argparse.ArgumentParser(
description="Calculate coverage from samples file and smt2 file"
)
... | null | scripts/calc_metric.py | calc_metric.py | py | 17,085 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "z3.Context",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "operator.mul",
... |
485361184 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 24 00:01:17 2018
@author: sumanyu
"""
import numpy as np
import torch
import os
import torchvision.models as models
import torch.optim as optim
import torchvision.transforms as transforms
import torch.utils as utils
import torch.nn as nn
import tor... | null | ar_model.py | ar_model.py | py | 2,694 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torchvision.models.resnet101",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torchvisio... |
89409254 | import pandas as pd
import numpy as np
import mdtraj as md
import itertools
from DEERPREdict.utils import Operations
def loadExpPREs(name,prot):
value = {}
error = {}
resnums = np.arange(1,len(prot.fasta)+1)
for label in prot.labels:
value[label], error[label] = np.loadtxt(name+'/expPREs/exp-{:... | null | 2022/CG-cutoffs-Tesei-et-al/SC/code/analyse.py | analyse.py | py | 29,441 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"l... |
610067998 | import random
import csv
import sys
import os
import time
import numpy as np
from keras.preprocessing.image import ImageDataGenerator
from spectral import *
from skimage import io as skio
from sklearn.preprocessing import MinMaxScaler
import cv2
from tqdm import tqdm
from os import listdir
from os.path import isfile, j... | null | data.py | data.py | py | 12,372 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "csv.reader",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number"... |
568454520 | from flask import jsonify, request, url_for, g
from app import db
from app.models import Post
from app.api import bp
from app.api.auth import token_auth
from app.api.errors import bad_request, unauthorized_access
@bp.route('/posts/<int:id>', methods=['GET'])
@token_auth.login_required
def get_post(id):
return jso... | null | app/api/posts.py | posts.py | py | 1,692 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.jsonify",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.models.Post.query.get_or_404",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.models.Post.query",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_nam... |
182392315 | import json
from django.views.generic import View
from django.core.exceptions import ObjectDoesNotExist
from django.views.decorators.http import require_http_methods
from django.contrib.admin.views.decorators import staff_member_required
from django.utils.decorators import method_decorator
from django.core.validators ... | null | contacts/views.py | views.py | py | 5,562 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "utils.helper.render_to_json",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.views.generic.View",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "util... |
606810540 | # -*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
import csv
import pandas
import sys
data_url = 'https://www.statcrunch.com/grabdata.php?dataid=1096769&_=1470977876486'
req = requests.get(data_url)
data = req.text.splitlines()
headers = data.pop(0).split()
with open("nbaplayers.csv", 'wb') as ... | null | data_get.py | data_get.py | py | 610 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 17,
"usage_type": "call"
}
] |
77930460 | from keras.models import load_model
from keras.preprocessing.image import ImageDataGenerator
import numpy as np
model = load_model("flowers_model_VGG.h5")
train_datagen = ImageDataGenerator(rescale=1./255)
val_datagen = ImageDataGenerator(rescale=1./255)
test_datagen = ImageDataGenerator( rescale=1./255)
train_generat... | null | flowers/flowers_predict.py | flowers_predict.py | py | 1,963 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.models.load_model",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 6,
"usag... |
281676635 | from django.conf.urls import url
from .views import *
# from . import views
urlpatterns = [
url(r'^$', index),
url(r'^courses/create$', create_course),
url(r'^courses/(?P<course_id>\d+)/destroy$', destroy_course, name='destroy_course'),
url(r'^comments/(?P<course_id>\d+)/show$', show_comment, name='sho... | null | Django/courses_project/apps/courses/urls.py | urls.py | py | 517 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
186104319 | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
city_choices = [
('Chennai', 'Chennai'),
('Delhi', 'Delhi'),
('Bombay', 'Bombay'),
('Tirupati', 'Tirupati'),
('Agra','Agra'),
]
alert_choices=[
('Forest_Fire', 'Forest_Fire')... | null | home/models.py | models.py | py | 2,028 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 35,
"usage_type": "call"
},
{
"api_name... |
104193064 | execfile('scripts/load_net.py')
from collections import OrderedDict
n = 4
# Blobs to save for u10f1 model
u10_to_save = OrderedDict()
u10_to_save['frames'] = [n]
u10_to_save['all_frames'] = np.arange(0,320,32) + n
u10_to_save['conv1'] = np.arange(0,320,32) + n
u10_to_save['conv2'] = np.arange(0,320,32) + n
u10_to_sav... | null | scripts/test.py | test.py | py | 2,902 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.OrderedDict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 15,
"usage_type": "call"
}
] |
427227035 | # -*- coding: utf-8 -*-
from core.base_page import BasePage
import logging, sys, time, os
import pytest
# logging.basicConfig(level=logging.INFO, stream=sys.stdout)
# log = logging.getLogger()
class CustomForecasts(BasePage):
def __init__(self, driver):
self.driver = driver
self.logger = logging.ge... | null | pages/custom_forecasts_page.py | custom_forecasts_page.py | py | 828 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "core.base_page.BasePage",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
}
] |
521637115 | """
Algorithm source:
https://pycryptodome.readthedocs.io/en/latest/src/public_key/rsa.html
Author:
Tymoteusz Mirski
"""
from Crypto.PublicKey import RSA
from Crypto.Random import get_random_bytes
from Crypto.Cipher import AES, PKCS1_OAEP
from encryption_n_decryption import utils
import time
def generate_keys(priva... | null | encryption_n_decryption/rsa.py | rsa.py | py | 4,441 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Crypto.PublicKey.RSA.generate",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "Crypto.PublicKey.RSA",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "encryption_n_decryption.utils.write_to_file_b",
"line_number": 35,
"usage_type": "call... |
391222573 | # -*- coding: utf-8 -*-
from django import forms
from django.http import HttpResponse
from django.shortcuts import render_to_response
from django.http.response import HttpResponseRedirect
import ShareMethod.views
import time
import datetime
def chart(req):
first_day=req.REQUEST.get('first_day','')
end_day=re... | null | Monitor_v3/Chart/views.py | views.py | py | 13,465 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.strftime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"l... |
184908368 | """
# URL : http://localhost:8080/cgi-bin/bmi_web.py
"""
# 모듈 로딩 ---------------------------------------------------
import cgi, sys, codecs, os
import joblib
# WEB 인코딩 설정 ---------------------------------------------
sys.stdout=codecs.getwriter('utf-8')(sys.stdout.detach())
# 함수 선언 ----------------------------------... | null | PythonAI/Source/W2D3/src/bmi_web.py | bmi_web.py | py | 2,199 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.stdout",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "codecs.getwriter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.stdout.detach",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
... |
182727367 | """Configuation library for LLAMA.
This is mostly used by the Collector process to determine target hosts and
tag mappings.
"""
import collections
import logging
import yaml
class Error(Exception):
"""Top level error."""
Tag = collections.namedtuple('Tag', ['key', 'value'])
class Target(object):
"""Conf... | null | llama/config.py | config.py | py | 1,538 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.namedtuple",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 51,
"usage_type": "call"
}
] |
105485290 | from numpy import array
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
import pandas as pd
import random as rd
def model():
RSP = pd.read_csv("RPS/data.csv")
This_Id = list(RSP["id"])
Playerlist = list(RSP["Player"])
AI = list(RSP["Lose_or_Win"])
... | null | RPS/RNNModel.py | RNNModel.py | py | 1,632 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "keras.layers.LSTM... |
64743864 |
import requests
import sys
from bs4 import BeautifulSoup
import re
import datetime
import pymysql
from datetime import datetime as dtime
sys.path.append('/home/linsam/github')
import PTTKey
host = PTTKey.host
user = PTTKey.user
password = PTTKey.password
database = PTTKey.database
# 建立 SQL 檔案
def creat_sql_file(sql_... | null | Crawler/auto_craw_new_ptt_data.py | auto_craw_new_ptt_data.py | py | 27,944 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PTTKey.host",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PTTKey.user",
"lin... |
48736758 | import json
import reversion
from autoslug import AutoSlugField
from django.conf import settings
from django.contrib.gis.db import models
from django.contrib.postgres.fields import ArrayField
from django.contrib.postgres.indexes import GinIndex
from django.contrib.postgres.search import SearchVector, SearchVectorField... | null | erp/models.py | models.py | py | 37,277 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.gis.db.models.CharField.register_lookup",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.db.models.functions.Lower",
"line_number": 29,
"usage_type": "argument"
},
{
"api_name": "django.contrib.gis.db.models.CharField",
"line_nu... |
450040077 | import cv2
import face_recognition
import ft2
import pickle
def face_in_camera():
# pickle文件提取
f1 = open('show_name.pkl', 'rb')
known_names = pickle.load(f1)
f = open('show_data.pkl', 'rb', )
known_face_encodings = pickle.load(f)
# opencv
vc = cv2.VideoCapture(0, cv2.CAP_DSHOW)
while Tr... | null | face_in_camera.py | face_in_camera.py | py | 1,477 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_DSHOW",
"line_num... |
90308752 | #!/usr/bin/env python
"""setup.py file for a GRR API client library."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import os
import shutil
import subprocess
import sys
from distutils.command.build_py import build_py
from setuptools import find_packa... | null | grr/proto/setup.py | setup.py | py | 3,052 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.version_info",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",... |
28026683 | import os
import random
import struct
import uuid
# noinspection PyUnresolvedReferences
from Crypto.Cipher import AES
class CryptKeeper:
CHUNK_SIZE = 64 * 1024 # in bits
# KEY_SIZE = 32 # in bytes
TEST_STRING = 'TESTSTRING'
def encrypt(self, file_path, key=None):
"""
Encrypts the g... | null | CryptKeeper.py | CryptKeeper.py | py | 4,634 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "uuid.uuid4",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "Crypto.Cipher.AES.new",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "Crypto.Cipher.AES",
... |
504901950 | import sqlalchemy as sa
from core import metadata_columns
class FileTables:
def __init__(self, schema_name="public"):
self.schema_name = schema_name
self.metadata = sa.MetaData()
self.file = sa.Table("file", self.metadata, *metadata_column_list,
sa.Column("data_source_key", sa... | null | etl/database/file_tables.py | file_tables.py | py | 586 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.MetaData",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Text... |
231102118 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy
from dataclasses import dataclass
from PyMieSim.binary.Fibonacci import FIBONACCI
from MPSPlots.Render3D import Scene3D
from MPSPlots.Math import Angle
@dataclass
class FibonacciMesh():
"""
Class wich represent an angular mesh. The distribution of p... | null | PyMieSim/Tools/Mesh.py | Mesh.py | py | 6,852 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "MPSPlots.Math.Angle",
"line... |
335885255 | from ftw.table import helper
from opengever.base.schema import TableChoice
from opengever.contact import _ as contact_mf
from opengever.document.behaviors.metadata import IDocumentMetadata
from opengever.dossier import _
from opengever.dossier.command import CreateDocumentFromTemplateCommand
from opengever.kub import i... | null | opengever/dossier/templatefolder/form.py | form.py | py | 5,950 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "plone.api.content.find",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "plone.api.content",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "plone.api",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "zope.schema.v... |
352898213 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import argparse
from . import _version
PROG = "mutanno"
DEFAULT_OPT = {'annot': {}, 'makedata': {}, 'convert': {}}
DEFAULT_OPT['annot']['vcf'] = ""
DEFAULT_OPT['annot']['out'] = "mutanno"
DEFAULT_OPT['annot']['outtype'] = ['vcf']
DEFAULT_OPT['annot']['ds'] = ""... | null | src/mutanno/_options.py | _options.py | py | 10,492 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 157,
"usage_type": "attribute"
},
{
"api_name": "sys.argv.append",
"line_number": 158,
"usage_type": "call"
},
{
"api_name": "sys.argv",
... |
576240340 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 29 11:39:48 2021
@author: daan
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import math
#%%
LW=5
FS=25
# %%
data1 = pd.read_csv('bifurcation.txt',sep='\s+',header=None)
data1 = pd.DataFrame(data1)
# %%
AMOC_1=data1[... | null | Revision/figure5/figure5a.py | figure5a.py | py | 3,340 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.size",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_n... |
323547955 | from fileToStructure import *
import json
#necesitar partir el indice en varios archivos para subirlo a github.
#el tiempo de generacion del indice demora aprox 2 horas. Es mejor tenerlo en archivo.
index = jsonToDict("index.json")
nElements = len(index.keys())
#nElements = 161220. Vamos a dividir según la distribució... | null | divideIndex.py | divideIndex.py | py | 1,089 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.dump",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 39,
... |
547254626 | """
Geographic coordinate system
----------------------------
"""
from typing import List, Optional, Tuple
import numpy
from .. import interface
from ..core import geodetic
from ..core.geodetic import (
Crossover,
LineString,
calculate_crossover,
calculate_crossover_list,
coordinate_distances,
)
... | null | src/pyinterp/geodetic/__init__.py | __init__.py | py | 13,723 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "core.geodetic.Spheroid",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "core.geodetic",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "typing.Tupl... |
120155724 | from bs4 import BeautifulSoup
from splinter import Browser
import pandas as pd
import datetime as dt
def mars_news(browser):
url = "https://mars.nasa.gov/news/"
browser.visit(url)
html = browser.html
news_soup = BeautifulSoup(html, 'html.parser')
slide_element = news_soup.select_one('ul.item_list ... | null | scrape_mars.py | scrape_mars.py | py | 4,230 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSo... |
473429366 | #!/hpcf/apps/python/install/2.7.13/bin/python
import os
import argparse
import subprocess
import glob
import pandas as pd
import uuid
import base64
import sys
import PIL
from PIL import Image
import cStringIO
p_dir = os.path.dirname(os.path.realpath(__file__)) + "/"
cwd = os.getcwd()
"""Convert pandas dataframe to htm... | null | bin/dataframe_to_html.py | dataframe_to_html.py | py | 6,156 | python | en | code | null | code-starcoder2 | 66 | [
{
"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.realpath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_n... |
293661754 | from typing import List
def largestIsland( grid: List[List[int]]) -> int:
directions = [(1,0),(0,1),(0,-1),(-1,0)]
area = [1]
dict_ = {}
id_ = [2]
xlimit = len(grid) - 1
ylimit = len(grid[0]) - 1
def helper(grid, id_, x, y):
for direction in directions:
x_ = x + direct... | null | MakingaLargeIsland/MakingaLargeIsland.py | MakingaLargeIsland.py | py | 1,669 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
526185928 | import os
import cv2
import random
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('video', help='video to process')
parser.add_argument('--num', help='num of frames to sample from video', type=int, default=10)
args = parser.parse_args()
assert os.path.exists(args.video),'Video path does not ex... | null | sample_frames.py | sample_frames.py | py | 1,024 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",... |
540711751 | from ssixa.base.database.basedb import SSIXADBBase
from ssixa.base.database.oidcdbobject import OIDCSession, OIDCUidToSid
from ssixa.base.database.uid2siddb import UidToSidDB
from oic.utils.sdb import SessionDB as SessionDBBase
import logging
log = logging.getLogger(__name__)
class SessionDB(SessionDBBase, SSIXADBB... | null | ssixa/base/database/sessiondb.py | sessiondb.py | py | 6,332 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "oic.utils.sdb.SessionDB",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ssixa.base.database.basedb.SSIXADBBase",
"line_number": 11,
"usage_type": "name"
},
{
"a... |
420664752 | import cv2
import numpy as np
import matplotlib.pyplot as plt
import os
# Functions
def ishow(img, max_t = 10000):
# Kill window if Q is pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
v2.destroyAllWindows()
# Show image
cv2.imshow('Preview',img)
# Otherwise kill after max_t, defau... | null | data-analysis/modules/utils.py | utils.py | py | 1,039 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.waitKey",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"line_... |
243170614 | from hashlib import sha256
#################################################################################
# https://github.com/michaelhly/solana-py/blob/master/src/solana/publickey.py
#
# The MIT License (MIT)
# Copyright (C) 2020 Michael Huang
# Permission is hereby granted, free of charge, to any person obtaini... | null | _reference/hacking-101/picoctf-2022-greatest-hits/solfire/solana_helpers.py | solana_helpers.py | py | 5,204 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "hashlib.sha256",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_numbe... |
16674551 | import discord
client = discord.Client()
@client.event
async def on_ready():
print('You are logged in as {0.user}'.format(client))
@client.event
async def on_message(message):
file = open('messages.txt', 'a')
file.write(message.author.name + ': ' + message.content + '\n')
if message.author.name == 'D... | null | main.py | main.py | py | 511 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.Client",
"line_number": 3,
"usage_type": "call"
}
] |
50428509 | # Given a binary tree, find its minimum depth.
# The minimum depth is the number of nodes along the shortest path from the root node down to the nearest leaf node.
# Note: A leaf is a node with no children.
# Example 1:
# Input: 3
# / \
# 9 20
# / \
# ... | null | 111. Minimum Depth of Binary Tree.py | 111. Minimum Depth of Binary Tree.py | py | 3,857 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "collections.deq... |
477020230 | import cv2
import numpy as np
import matplotlib.pyplot as plt
import os
import sys
def load_image(image_file):
file_name_lists = os.listdir(image_file)
label_arrays = []
# cv2 load images as BGR
image_bgr = []
for i in file_name_lists:
img = cv2.imread(image_file+'/'+i)
height, wid... | null | scripts/utils/data_loader.py | data_loader.py | py | 4,120 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_numbe... |
601379835 | import numpy as np
import brainiak.eventseg.event
from scipy.stats import norm,zscore,pearsonr,stats
from nilearn.image import load_img
import sys
from brainiak.funcalign.srm import SRM
import nibabel as nib
import os
from scipy.spatial import distance
from sklearn import linear_model
from scipy.spatial.distance import... | null | phase_scramble.py | phase_scramble.py | py | 5,769 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "numpy.dstack",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
... |
449807888 | #
# module tank.core.testcase
#
from typing import Dict
from copy import deepcopy
import yaml
import jsonschema
from tank.core.exc import TankTestCaseError
from tank.core.utils import yaml_load, yaml_dump
class TestCase:
"""
Entity describing single test performed by Tank.
"""
def __init__(self, ... | null | tank/core/testcase.py | testcase.py | py | 2,152 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tank.core.utils.yaml_load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "jsonschema.validate",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "jsonschema.ValidationError",
"line_number": 25,
"usage_type": "attribute"
},
{
"api... |
462372989 | import requests
from bs4 import BeautifulSoup as bs
user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36'
header = {'user-agent':user_agent}
myUrl = "https://maoyan.com/films?showType=3"
response = requests.get(myUrl,headers=header)
bs... | null | week01/work1.py | work1.py | py | 784 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
}
] |
321398548 | # standard library
from pathlib import Path
from tempfile import TemporaryDirectory
# third-party packages
import xarray as xr
from mao_merge_45m import accelerometer, antenna, correlator, merge, weather
from xarray.testing import assert_allclose
# constants
TEST_CSV = Path("data") / "weather_20201123T004000Z.csv"
... | null | tests/test_merge.py | test_merge.py | py | 1,900 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_numbe... |
528440242 | from __future__ import absolute_import
import logging
import sys
import re
from flask import request, current_app
from flask.ctx import has_request_context
from pythonjsonlogger.jsonlogger import JsonFormatter as BaseJSONFormatter
LOG_FORMAT = '%(asctime)s %(app_name)s %(name)s %(levelname)s ' \
'%(requ... | null | dmutils/logging.py | logging.py | py | 4,755 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.current_app.logger.log",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.current_app.logger",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_... |
425280155 | import pandas as pd
import json, os, time
# nation data
def get_date(i):
y = i[3:7]
m = i[7:9]
d = i[9:11]
return(f'{y}-{m}-{d}')
def prase_json(j,dat):
l = []
header = ['date'] + list(j['features'][0]['properties'].keys())
for i in range(len(j['features'])):
tmp = j['features'][i][... | null | CDC_data/shell/start.py | start.py | py | 1,755 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_nu... |
172434885 | import string
import pickle
import nltk
from nltk.sentiment.vader import SentimentIntensityAnalyzer
punctuation = list(string.punctuation)
numbers = list(string.digits)
def saveLexicon(fileName='lexicon'):
sia = SentimentIntensityAnalyzer()
lexicon = sia.lexicon
print("VADER lexicon's size: {}".format(len... | null | examples/Task1 - Sentiment Calculation/vader_lexicon.py | vader_lexicon.py | py | 1,127 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "string.punctuation",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "nltk.sentiment.vader.SentimentIntensityAnalyzer",
"line_number": 10,
"usage_type": "call"
},
... |
433036132 | from django.core.cache import cache
from cache_midware.settings import CACHE_URLS
def caching_middleware(get_response):
def middleware(request):
request_url = request.get_full_path()
response = cache.get(request_url)
search_url = request_url[
1:-1] if request_url[-1] == '/' e... | null | cacher/middleware.py | middleware.py | py | 762 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.cache.cache.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "cache_midware.settings.CACHE_URLS",
"line_number": 18,
"usage_type": "argument"
},
... |
192465648 | from datetime import datetime
import numpy as np
import pytz
from matplotlib import rcParams
from nilmtk import DataSet
from sklearn.metrics import classification_report, confusion_matrix, accuracy_score
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import cross_val_score
from sklearn.d... | null | code/tester.py | tester.py | py | 14,728 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "constants.SAMPLE_PERIOD",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "joblib.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "joblib.l... |
563485674 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from pathlib import Path
from collections import OrderedDict
def plot_change(vals_first, vals_last, names, plot_title, dir_output, fn_output, y_label):
fig, ax = plt.subplots(figsize=(4, 6), dpi=300, facecolor='w', edgeco... | null | common/statistics_plots.py | statistics_plots.py | py | 25,791 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.ones",... |
309878379 | import numpy as np
from ox import OX
class OX_minimax(OX):
def __init__(self):
super(OX_minimax, self).__init__()
def ai_move(self):
if np.all(self.board== ' '):
super().ai_move()
else:
score,loc = self.minimax()
print('score',score)
... | null | minimax.py | minimax.py | py | 1,390 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ox.OX",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "numpy.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 22,
"usage... |
528268979 | import json
import collections
import jieba
import re
titles = []
with open('data/mzitu.json') as f:
mzitu = json.load(f)
for pretty_type in mzitu:
models = pretty_type['models']
for model in models:
for item in model:
title = item['title']
titles.ap... | null | words_cut.py | words_cut.py | py | 1,479 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "jieba.cut",
"line_number": 37,
"usa... |
359952260 | from django.core.exceptions import ValidationError
from django.db import models
from django.db.models import Sum
from django.utils.translation import ugettext_lazy as _
from ordered_model.models import OrderedModel, OrderedModelQuerySet
from coapp.core.models import OwnedBase, TimeStampedBase
from coapp.core.scopes.fi... | null | backend/coapp/palace/focus/models.py | models.py | py | 3,281 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.QuerySet",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "coapp.core.models.OwnedBase",
"line_number": 19,
"usage_type": "name"
},
{
"api_n... |
267561216 | from FileEncryption import myEncrypt, myDecrypt
from os import urandom, remove
from os.path import basename
from cryptography.hazmat.primitives import hashes, hmac
from cryptography.hazmat.backends import default_backend
from cryptography.exceptions import InvalidSignature
from constants import KEY_LENGTH, EXT, DOT, ... | null | src/FileEncryption_HMAC.py | FileEncryption_HMAC.py | py | 4,476 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "constants.KEY_LENGTH",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "FileEncryption.myEncrypt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.hmac.HMAC",
"line_number": 20,
"usage_type": "call"
},
{... |
213701050 | from tkinter import *
from PIL import ImageTk, Image
from tkinter import font
from tkinter import messagebox
import pyrebase
def view_req(Uid):
firebase_config = {
"apiKey" : "AIzaSyCvuNFssXW4k1cHifCRH_-KP6IPuxJHzqk",
"authDomain" : "financelock-c6ea8.firebaseapp.com",
"databaseURL" : "https:/... | null | View_Req_Inves.py | View_Req_Inves.py | py | 8,981 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyrebase.initialize_app",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox",
"line_number": 98,
"usage_type": "name"
},
{
"api_name":... |
478234988 | # --Function to display menu for EMS --
import csv
import pyodbc as odbccon
import os
from pprint import pprint
import pickle
# connection to database
conn = odbccon.connect("Driver={SQL Server Native Client 11.0};"
"Server=LAPTOP-3D1J4GB8;"
"Database=ems;"
... | null | practice.py | practice.py | py | 3,897 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyodbc.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 143,
"usage_type": "call"
}
] |
574848080 | #!/usr/bin/python
import sys
sys.path.append("/var/www/TapeOpMain/app")
from django.core.management import setup_environ
from django.utils.encoding import smart_str, force_unicode, smart_unicode
import settings
setup_environ(settings)
from django.db import models
from django.db.models import Q
import MySQLdb
import ti... | null | app/_admin_scripts/newsletter_daemon.py | newsletter_daemon.py | py | 6,024 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "django.core.management.setup_environ",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "subsc... |
326415207 | from die import Die
from plotly.graph_objs import Bar, Layout
from plotly import offline
#Create a D6
# die = Die()
die_1 = Die()
die_2 = Die()
#make some rolls and store the result in the list
results = []
for roll_num in range(1000):
# result = die.roll()
result = die_1.roll() + die_2.roll()
results.a... | null | Die/die_visual.py | die_visual.py | py | 918 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "die.Die",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "die.Die",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs.Bar",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs.Layout",
"l... |
49534072 | def index():
form = FORM(TABLE(TR(TD("Type of disaster: "), TD(SELECT("Earthquake",
"Floods",
"Landslides",
"Fire",
... | null | controllers/report.py | report.py | py | 3,641 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gluon.contrib.simplejson.dumps",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "gluon.contrib.simplejson",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "... |
205146274 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
import json
import shutil
import urllib.request
from base64 import b64encode
sys.path.append(os.getcwd())
from some_stuff.agent_config import AgentConfig
class Jenkins:
def __init__(self):
# Proxy disabler
proxy = urllib.reque... | null | some_stuff/jenkins.py | jenkins.py | py | 4,235 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.ProxyH... |
61000072 | import cv2
image = cv2.imread('/home/zx/桌面/代码/物流检查项目/物流测试图片/cc131425041070131602.jpg')
img = cv2.pyrMeanShiftFiltering(image, 25, 10)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret, binary = cv2.threshold(gray,127,255,cv2.THRESH_BINARY)
_, contours, _ = cv2.findContours(binary,cv2.RETR_EXTERNAL,cv2.CHAIN... | null | test直线检查.py | test直线检查.py | py | 558 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.pyrMeanShiftFiltering",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
... |
196988349 | from django.contrib.auth.models import User
from django.core.validators import RegexValidator
from django.db import models
# Create your models here.
from django.db.models import Avg
from catalogue.models import Content
def get_upload_path(instance, filename):
return 'avatars/user_{0}/{1}'.format(instance.user.i... | null | userprofiles/models.py | models.py | py | 2,933 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.db.models.OneToOneField",
"line_number": 19,
"usage_type": "call"
},
{
"api_n... |
338933077 | # Copyright 2016: Mirantis Inc.
# 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 b... | null | tests/unit/task/test_trigger.py | test_trigger.py | py | 1,915 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rally.task.trigger.Trigger",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "rally.task.trigger",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "rally.task.trigger.configure",
"line_number": 25,
"usage_type": "call"
},
{
"a... |
390456336 | from typing import Optional
from .document_set import DocumentSet
from google.protobuf.pyext._message import RepeatedCompositeContainer
if False:
from ..document import Document
class MatchSet(DocumentSet):
def __init__(self, docs_proto, reference_doc: 'Document'):
super().__init__(docs_proto)
... | null | jina/types/sets/match_set.py | match_set.py | py | 1,298 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "document_set.DocumentSet",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "google.protobuf.pyext._message.RepeatedCompositeContainer",
"line_number": 22,
"usage_type": "ar... |
329409065 | from easygui import *
import sys
import sqlite3
while 1:
buttonbox('What do you want to do?', 'Choose what to do', ('Stocktake',\
'Edit your bar'))
conn = sqlite3.connect('mybar.db')
c = conn.cursor()
n_and_ids = {}
title = 'Stocktake'... | null | Stocktake_gui.py | Stocktake_gui.py | py | 1,837 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
}
] |
335456754 | # -*- coding: utf-8 -*-
"""
Created on Sat Jan 16 10:07:41 2021
@author: loai_
"""
import pandas as pd
import re
import json
from tqdm import tqdm
class regular_exp_matcher():
def reg_ex (self, func_type,reg_ex, data=None, tags=None):
if tags==None:
tags=['DOCNO', 'TITLE', 'DESCRIPTION', ... | null | reg_ex.py | reg_ex.py | py | 1,585 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number":... |
499640497 | from tbats import TBATS
from datetime import date
from tsmetrics import tsmetrics
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import pandas as pd
from scipy.signal import savgol_filter
from pkg.TBATSmod import saveforecast, save_individual_graph
#=====================... | null | __main__.py | __main__.py | py | 2,093 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_excel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tbats.TBATS",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pkg.TBATSmod.saveforecast",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.DataFr... |
194575359 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from time import sleep, ctime
import threading
from selenium import webdriver
from selenium.webdriver import ChromeOptions
def test_baidu(browser, search):
print('start %s' % ctime())
print('browser %s' % browser)
err_msg = "browser參數有誤: 只能為edge, chrome, ff"... | null | ch10/baidu_thread.py | baidu_thread.py | py | 2,218 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.ctime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Edge",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "s... |
196633321 | import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import scipy as sp
from scipy import stats
from sklearn.linear_model import LinearRegression
url = r"C:\Users\HP\Desktop\2020_04_10_Datas_Analysis_python\data\imports-85.data"
df = pd.read_csv(url, header = None,na_values="?... | null | scripts/model-eval.py | model-eval.py | py | 1,778 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "seaborn.distplot",
"line_number": 46,
"usage_type": "call"
},
{
"api_name":... |
17979825 | # -*- coding: UTF-8 -*-
#iptables -D INPUT -s ***.***.***.*** -j DROP 解封ip
#iptables -L to view iptables status
import sys
import os
import time
from collections import Counter
from Mail import SendEmail
#Globle params
filename = ''
visit_limit = ''
helps = ['help','h','-help','-h']
def readfile():
file = open(sys... | null | anti-tcp-attack/ata.py | ata.py | py | 2,926 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 23... |
311697612 | import os
os.environ.setdefault('DJANGO_SETTINGS_MODULE',
'ex_test.settings')
import django
django.setup()
from aplicacion.models import Paciente, Medico, Receta
def populate():
# First, we will create lists of dictionaries containing the pages
# we want to add into each category.
# ... | null | poblar.py | poblar.py | py | 1,747 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.setdefault",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "aplicacion.models.Med... |
467217006 | # uncompyle6 version 3.7.4
# Python bytecode 2.5 (62131)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.macosx-10.6-i386/egg/google/protobuf/reflection.py
# Compiled at: 2009-12-02 20:07:05
"""Contains a metaclass and helper functions used to create
pro... | null | pycfiles/bdbdatastore-0.2.2-py2.5/reflection.py | reflection.py | py | 49,724 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "google.protobuf.descriptor.FieldDescriptor",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "google.protobuf.descriptor",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "google.protobuf.internal.containers.RepeatedCompositeFieldContainer",
... |
392056185 | import collections
import functools
import itertools
import operator
import numpy
from scipy import sparse
from .matrix import (normalize,
metaedge_to_adjacency_matrix,
auto_convert,
copy_array)
def dwwc_step(matrix, row_damping=0, column_damping=0, cop... | null | hetmech/degree_weight.py | degree_weight.py | py | 6,435 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matrix.copy_array",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "matrix.sum",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numb... |
431028337 |
from django.urls import path, include
from . import views
urlpatterns = [
path('', views.home , name= 'home'),
path('detailblocks/main', views.main, name = 'main'),
path('detailblocks/addcomment', views.addcomment, name = 'addcomment'),
path('createbid', views.createbid, name = 'createbid'),
] | null | PCHelp/urls.py | urls.py | py | 312 | python | en | code | null | code-starcoder2 | 66 | [
{
"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",
... |
86389850 | import numpy as np
import os
import pandas as pd
import sqlite3
class Team:
"""Provides the basis for the programme to characterise any team at any particular point during the league."""
def __init__(self, name, league):
# General attributes
self.name = name
self.league = league
... | null | footballleagues/classes/team.py | team.py | py | 13,511 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.nan",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_nu... |
292748395 | import json
import os
import time
import requests
'''
以下为蓝胖子的爬虫，哆啦A梦七小子漫画。共计12卷。
来源，动漫之家
16315为哆啦A梦S历险记特别篇的id
36076为第一卷，-36087第12卷
'''
def get_page(juan_id,time_stamp):
url='http://v3api.dmzj.com/chapter/16315/{}.json?timestamp={}&channel=Android&_debug=0&version=2.7.019'.format(juan_id,time_stamp)
heade... | null | basepro/blue_fat7_spider.py | blue_fat7_spider.py | py | 2,304 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3... |
229465210 | import pandas as pd
import numpy as np
from collections import defaultdict
import pyomo.opt
import pyomo.environ as pe
from scipy.cluster.hierarchy import linkage, fcluster
colors = ["0x000000", "0x1CE6FF", "0xFFFF00", "0xFF34FF", "0xFF4A46", "0x008941", "0x006FA6", "0xA30059",
"0xFFDBE5", "0x7A4900", "0x000... | null | tsp.py | tsp.py | py | 7,895 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.repeat",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pyomo.opt.opt.SolverFactory",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pyomo.opt.opt",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pyomo.opt... |
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