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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
34088379674 | # apt install python3-scapy python3-xmltodict
# python3 burp2pcap.py TARGET_XML_FILE
from scapy.all import Ether, IP, TCP, PcapWriter
from scapy.layers.http import HTTP
import argparse
import base64
import json
import sys
import xmltodict
XML_KEY_ITEMS = "items"
XML_KEY_ITEM = "item"
XML_KEY_RAW_VALUE = "#text"
XML... | turekt/burp2pcap | burp2pcap.py | burp2pcap.py | py | 1,878 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "xmltodict.parse",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "scapy.all.Ether",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "scapy.layers.http.HT... |
38771723639 | from itertools import permutations
def solution(numbers):
arr = []
for i in range(len(numbers)):
for j in permutations(numbers, i + 1):
arr.append(int(''.join(j)))
dic = {}
for i in arr:
dic[i] = 1
arr = list(dic.keys())
prime = [True] * (max(arr) + 1)
prime[0], ... | physicallaw/Programmers-Algorithm | 완전탐색/42839/42839.py | 42839.py | py | 549 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.permutations",
"line_number": 6,
"usage_type": "call"
}
] |
31610080151 | import execnet
import os
import numpy as np
# Import global options.
from ..conf import cupy
# Import utility functions for cubitpy.
from .cubit_wrapper_utility import cubit_item_to_id, is_base_type
class CubitConnect(object):
"""
This class holds a connection to a python2 interpreter and initializes
cu... | imcs-compsim/cubitpy | cubitpy/cubit_wrapper/cubit_wrapper3.py | cubit_wrapper3.py | py | 11,523 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "execnet.makegateway",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"... |
6923422911 | from wx.providers.trade import daily_mtm as mtm
from wx.providers.common import Common_Functions as CF
from flask_script import Command, Option
import datetime
from datetime import date, datetime, timedelta
class MTM_OTC_Command(Command):
"""
This is the command line interface for saving RT LBMP data from ... | swsethuraman/wx-py | wx/batch/MTM_OTC_EOD.py | MTM_OTC_EOD.py | py | 1,145 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask_script.Command",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask_script.Option",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_script.Option",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.... |
41263075118 | import os
import datetime
import sys
testLabel = 'test_'
pyExtensionLabel = '.py'
runnerPath = scriptDir = os.path.dirname(os.path.abspath(__file__))
scriptsPath = os.path.join(runnerPath, "unityScripts")
testScriptsPath = []
for root, dirs, files in os.walk(scriptsPath):
for file in files:
if file.start... | IFB-Company/UnityAutomationToolsPython | testRunner.py | testRunner.py | py | 1,037 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
34267681618 | #! /usr/bin/python3
"""Load a gumpy Genome object, and use pickle to save to disk.
Due to the security implications of the pickle module, USE AT YOUR OWN RISK.
It is recommended to avoid sending and recieving pickled objects.
"""
import argparse
import pickle
import os
import gumpy
if __name__ == "__main__":
par... | oxfordmmm/gumpy | bin/gumpy-save-genome.py | gumpy-save-genome.py | py | 1,267 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gumpy.Genome",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
23518094611 | from flask import Blueprint, render_template, request, redirect, url_for, abort, flash
from ..repositories import deskRepository
deskRep = deskRepository.deskRepository()
desk_page = Blueprint("desks", __name__, url_prefix="/desks")
@desk_page.route("", methods=['GET'])
def getAllDesks():
desks = deskRep.getAllDe... | ArtemInyushev/Flask | task/api/controllers/deskController.py | deskController.py | py | 1,345 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "repositories.deskRepository.deskRepository",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "repositories.deskRepository",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
... |
12457616228 | import numpy as np
import pandas as pd
from sklearn.pipeline import Pipeline
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.feature_selection import f_classif, SelectKBest, SelectPercentile
from sklearn.naive_bayes import GaussianNB
heart = pd.read_csv("https://raw.githubusercontent.com... | ekaterine12345/my | Lec11_GridSearchQuizz_SelectKBest/preperation_for_quiz5.py | preperation_for_quiz5.py | py | 927 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_selection.SelectPercentile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_selection.f_classif",
"line_number": 11,
"usage_type": "name"
... |
26515209295 | from typing import Any, Callable, NamedTuple, Tuple
from bsuite.baselines import base
from bsuite.baselines.utils import sequence
import dm_env
from dm_env import specs
import haiku as hk
import jax
import jax.numpy as jnp
import optax
import rlax
Logits = jnp.ndarray
Value = jnp.ndarray
PolicyValueNet = Callable[[j... | deepmind/bsuite | bsuite/baselines/jax/actor_critic/agent.py | agent.py | py | 4,178 | python | en | code | 1,400 | github-code | 18 | [
{
"api_name": "jax.numpy.ndarray",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "jax.numpy",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "jax.numpy.ndarray",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "jax.numpy",
... |
36769244434 | import datetime
import hashlib
import logging
import pdb
from django.db import IntegrityError
from django.http import JsonResponse
from django.shortcuts import render
from datetime import datetime, timedelta
import requests
from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, logi... | TamizhKamal09/cripto | members/views.py | views.py | py | 16,830 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 28,
"usage_type": "call"
},
{
... |
39793294087 | from flask import render_template, redirect, request
from flask_app import app
from flask_app.model import ninja, dojo
@app.route("/ninjas")
def create_ninja():
x = dojo.Dojo.get_all_dojo()
return render_template("ninjas.html", dojos=x)
@app.route("/createninja", methods=["POST"])
def create():
data = {
... | Cars0nLee/Flask-MySQL | flask_app/controllers/ninjas.py | ninjas.py | py | 568 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask_app.model.dojo.Dojo.get_all_dojo",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_app.model.dojo.Dojo",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "flask_app.model.dojo",
"line_number": 7,
"usage_type": "name"
},
... |
25238696698 | from __future__ import annotations
from functools import lru_cache, partial, wraps
import logging
from string import Template
from typing import (
Any, Callable, cast, MutableMapping, Optional, Type,
TYPE_CHECKING, TypeVar, Union,
)
from PyQt5 import Qt
from vspreview.core import Time, TimeInter... | Endilll/vapoursynth-preview | vspreview/utils/utils.py | utils.py | py | 5,011 | python | en | code | 69 | github-code | 18 | [
{
"api_name": "typing.TypeVar",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "vspreview.core.TimeType",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "PyQt5.Qt.QTime",
... |
11955382644 | import sys
import os.path as osp
import subprocess
import sys
import time
import traceback
from utils import get_yml_content, dump_yml_content, setup_experiment, get_nni_log_path, is_experiment_done
from utils import GREEN, RED, CLEAR, EXPERIMENT_URL
TUNER_LIST = ['GridSearch', 'BatchTuner', 'TPE', 'Random', 'Anneal'... | niuxinzan/microsoft-nni | test/tuner_test.py | tuner_test.py | py | 3,182 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.platform",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_numbe... |
2245222226 | #!/usr/bin/env python
import logging, os, urllib, sys, threading, cgi, inspect, re, csv
import voxpop
import caches
import cache
import simplejson as json
from lib import couch
from lib import nltk
from nltk import *
from config.config import *
from lib.typecode.util import *
#lv = [-1,0,1]
class WordnetParser():
... | typecode/voxpop | services/vp/vpNLPdep.py | vpNLPdep.py | py | 4,872 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "lib.nltk.corpus.wordnet.synset",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "lib.nltk.corpus",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "lib.nltk",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "lib.nltk... |
42593769623 | import abc
from difflib import SequenceMatcher
from typing import Any, Callable, Optional
from ..exceptions import NoMoreItems
from ..utils import _pretty_format, maybe_coroutine
__all__ = (
"BaseObject",
"AsyncIterator",
"UnNamedBaseObject"
)
class UnNamedBaseObject(metaclass=abc.ABCMeta):
"""The a... | PendragonLore/async_pokepy | async_pokepy/types/abc.py | abc.py | py | 6,245 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "abc.ABCMeta",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "utils._pretty_format",
... |
13033795574 | import os
import sqlite3
import requests
from flask import Flask,render_template, redirect,url_for,request
requests.packages.urllib3.disable_warnings()
app = Flask(__name__)
basedir = os.path.abspath(os.path.dirname(__file__))
DATABASE_URL = os.path.join(os.path.split(os.path.realpath(__file__))[0],'db\\test.sqlite... | yangleiqing0/MytestFlaskOra | app.py | app.py | py | 4,451 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_na... |
21118579638 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import json
import logging
import sys
from time import sleep
from Crypto.Hash import SHA256
from cached_property import cached_property
from standardjson import StandardJSONEncoder
import requests
from six import string_types
if not logging.getLogger().... | pydanny/webhooks | webhooks/senders/base.py | base.py | py | 7,874 | python | en | code | 58 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cached_prope... |
37880187535 | # -*- coding: utf-8 -*-
"""
HNSW + KNN Querying: Base method
"""
import datetime
import workflow_neo4j_cluster_V2 as wflo
import os
import pickle
import numpy as np
import neo4j
import pandas as pd
import time
# Database Credentials
httpUri = "http://localhost:7474"
boltUri = "bolt://localhost:7687"... | agb24/product_design_kg_code | query_method.py | query_method.py | py | 12,304 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "neo4j.GraphDatabase.driver",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "neo4j.GraphDatabase",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.vstack",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "hnsw... |
17075727535 | from typing import Tuple, Dict, List, Generator, Any
import json
from datetime import datetime, timedelta, timezone
import numpy as np
import pandas as pd
from websocket import create_connection
from bytewax.inputs import ManualInputConfig
from bytewax.dataflow import Dataflow
from bytewax.window import EventClockConf... | Paulescu/build-and-deploy-real-time-feature-pipeline | src/flow_steps.py | flow_steps.py | py | 6,920 | python | en | code | 94 | github-code | 18 | [
{
"api_name": "src.logger.get_console_logger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bytewax.dataflow.Dataflow",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "w... |
14137997440 | import requests
import smtplib
from datetime import datetime
response = requests.get(url='http://api.open-notify.org/iss-now.json')
response.raise_for_status()
data = response.json()
positional_data = data['iss_position']
iss_latitude = float(positional_data['latitude'])
iss_longitude = float(positional_data['longit... | KlayClarke/ISS-tracker | main.py | main.py | py | 1,888 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
16081506295 | from django.core import serializers
from django.http import HttpResponse
from django.shortcuts import render
from django.template import loader
from django.views.decorators.csrf import csrf_exempt
import logging
import zhaw.wall_db as wall_db
from .models import IfcModel, WallElement
import json
logger = logging.... | mjgordon/django_ifc_viewer | zhaw/views.py | views.py | py | 2,020 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.template.loader.get_template",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.template.loader",
"line_number": 21,
"usage_type": "name"
},
{
"api_... |
2971909657 | import asyncio
import aiohttp
from django.shortcuts import render
import requests
import time
async def fetch(session, url):
async with session.get(url) as response:
assert response.status == 200
return await response.json()
async def async_home_view(request):
start_time = time.time()
... | durvalcarvalho/django-projects | django-async-versus-sync/config/views.py | views.py | py | 1,423 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "asyncio.ensure_future",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "asyncio.gather"... |
17648326389 | import matplotlib.pyplot as plt
import numpy as np
xp = np.linspace(0.1, 0.4, 100)
xs=0.5
mu=1
rop=xp/mu
ros=xs/mu
yp=1+(0.5/(1-rop))
ys=1+(0.5/((1-rop)*(1-rop-ros)))
plt.plot(xp, yp,label="Elsődleges felhasználó")
plt.plot(xp,ys,label="Kognitív felhasználó")
plt.legend(loc="upper right")
plt.title("CRN")
plt.ylim(ymi... | Jelenszky/Zarovizsga | crn_avg_waiting_time.py | crn_avg_waiting_time.py | py | 532 | python | hu | code | 0 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyp... |
12235702166 | import cv2
import tkinter as tk
from PIL import Image, ImageTk
root = tk.Tk()
root.title("Webcam App")
label = tk.Label(root)
label.pack()
cap = cv2.VideoCapture("http://192.168.1.6:8080/video")
def update():
ret, frame = cap.read()
if ret:
img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
img = ... | Duc0509Ngo/Pokemon-classfication | src/app.py | app.py | py | 506 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.Tk",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_numb... |
25550112542 | import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import json
train = pd.read_json('../static/json/train.json')
icebergs = train[train.is_iceberg==1].sample(n=9,random_state=123)
ships = train[train.is_iceberg==0].sample(n=9,random_state=456)
fig = plt.figure(1,figsize=(15,15))
for i in range(9)... | raymerta/statoil-kaggle | test/imagetest.py | imagetest.py | py | 654 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_json",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.resh... |
71426844840 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
train_identity = pd.read_csv('/kaggle/input/ieee-fraud-detection/train_identity.csv', index_col='TransactionID')
train_transaction = pd.read_csv('/kaggle/input/ieee-fraud-detection/train_transaction.csv', index_col='Tran... | aorursy/new-nb-3 | gmannella_eda-focused-on-finding-correlation-with-isfraud.py | gmannella_eda-focused-on-finding-correlation-with-isfraud.py | py | 3,159 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "seaborn.heatmap",
"li... |
560972875 | import dataclasses
from typing import List, Mapping, Optional, Tuple
from flax import linen as nn, traverse_util
from flax.core import frozen_dict
from flax.linen import partitioning as nn_partitioning
# Default sharding rules for the ESM-2 model on TPUs.
DEFAULT_TPU_RULES = [
("batch", "X"),
("hidden", "Y")... | irhum/esmjax | esmjax/modules/partitioning.py | partitioning.py | py | 3,785 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "flax.core.frozen_dict.FrozenDict",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flax.core.frozen_dict",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "flax.core.frozen_dict.FrozenDict",
"line_number": 21,
"usage_type": "attribut... |
13064415676 | import sys
from neutron.common import config
from neutron.db import api as neutron_db_api
from oslo_config import cfg
from oslo_db.exception import DBDuplicateEntry
from oslo_log import log as logging
from quark.db import models
LOG = logging.getLogger(__name__)
def main():
config.init(sys.argv[1:])
if not... | MichaelPorras/quark | quark/tools/insert_provider_subnets.py | insert_provider_subnets.py | py | 2,223 | python | en | code | null | github-code | 18 | [
{
"api_name": "oslo_log.log.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "oslo_log.log",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "neutron.common.config.init",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "neutro... |
6399819622 | import os
import stripe
from datetime import datetime, timedelta
from assets.models import DataSource
stripe.api_key = os.environ.get("STRIPE_API_KEY", None)
stripe.api_version = "2020-08-27"
def query_subscription_data(api_key, data):
"""
Query subscription data and populate the data dictionary
"""
... | wizenheimer/Arcadian | metrics/util.py | util.py | py | 4,751 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "stripe.api_key",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "stripe.api_version",
... |
10414897650 | import json
import boto3
def lambda_handler(event, context):
def handleGetActivities(id):
dynamodb = boto3.resource('dynamodb')
activitiesTable = dynamodb.Table('fbla_activities_table')
response = activitiesTable.get_item(
Key={
'id': id
}
)... | codingshreyash/KolbAcademy | samFBLA/sam-fbla/activities_function/app.py | app.py | py | 1,049 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "boto3.resource",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 3... |
37970563534 | import pandas as pd
import os
import warnings
from tqdm import tqdm
from config import *
from gen_html import gen_html
warnings.filterwarnings("ignore")
def deal_name_changes(name):
if name=='天才呆黑魔魔':
return '胡乱思维的猫'
return name
def cal():
# 出场次数 总得分 一位率 二位率 三位率 四位率 总局数 和牌率 放铳率 立直率 副露率 自摸率
... | 123000001212/MahjongSoul-Event-WebPage-Generator | cal.py | cal.py | py | 3,933 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"lin... |
24243706049 | from jupyter_ui_poll import ui_events
import ipywidgets as widgets
from jupyterMagicCommands.outputters.outputter import AbstractOutputterReadCB
from jupyterMagicCommands.outputters.outputter import AbstractOutputter, EmptyOutputterReadCB
from IPython.display import display
class InteractiveOutputter(AbstractOutput... | catwang01/jupyterMagicCommands | jupyterMagicCommands/outputters/interactive_outputter.py | interactive_outputter.py | py | 1,254 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "jupyterMagicCommands.outputters.outputter.AbstractOutputter",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "jupyter_ui_poll.ui_events",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ipywidgets.Output",
"line_number": 15,
"usage_type"... |
37216575367 | from generalized_alphanpi.utils import import_dyn_class
from generalized_alphanpi.core.PolicyOnly import PolicyOnly
import numpy as np
import pandas as pd
from argparse import ArgumentParser
import yaml
import time
import os
from tqdm import tqdm
import torch
if __name__ == "__main__":
parser = ArgumentParser... | geektoni/learning_programs_from_traces | generalized_alphanpi/core/validate_agent.py | validate_agent.py | py | 5,282 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "yaml.FullLoader",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "generalized_al... |
24463099758 | '''
@package tfignite.parser
Customized parser for tfignite.
'''
import argparse
class ArgumentParser(argparse.ArgumentParser):
def __init__(self, Model, Dataset, *args, **kwargs):
self._Model = Model
self._Dataset = Dataset
argparse.ArgumentParser.__init__(self, *args, **kwargs)
def ... | ipod825/tfignite | tfignite/parser.py | parser.py | py | 666 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "attribute"
},
... |
21701742132 | import subprocess
try:
from termcolor import colored
except ModuleNotFoundError:
def colored(string, *args, **kwargs):
return string
from sys import argv
class TestFile:
def __init__(self, filename, expected_code = 0, expected_output = "", expected_in_error = [], folder = "test_files/") -> None:
... | Mareaucanard/GLaDOS-epitech-2026 | test/LISP/Functional.py | Functional.py | py | 5,783 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "subprocess.run",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "subprocess.DEVNULL",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "subprocess.TimeoutExpired",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": ... |
73646904680 | from setuptools import setup
with open("README", "r") as fh:
long_description = fh.read()
setup(
name='placeandroute',
version='0.0.0',
packages=['placeandroute','placeandroute.routing',
'placeandroute.tilebased'],
install_requires=['networkx>=2.4,<3.0',
'dwave... | boothby/placeandroute | setup.py | setup.py | py | 960 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
}
] |
36368041690 | # -*- coding: utf-8 -*-
"""
这个类负责所有和音乐有关的操作
"""
import wx
import pygame
import os
class MusicControl:
MusicPath = ""
musicList = []
index = 0
def __init__(self):
pygame.mixer.init()
# Music单独保存自己的路径，与工作相独立,存在默认播放路径
self.MusicPath = "d:\\Music"
self.mu... | GuilmK/Document | 成果物/6. Translation Assistant/Translation assistant/MusicPanel.py | MusicPanel.py | py | 2,052 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.mixer.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "wx.DirDialog",
"li... |
3951917004 | import os
import sys
from absl import app
import tensorflow as tf
from tensorflow.compiler.mlir.tfr.python import composite
from tensorflow.compiler.mlir.tfr.python.op_reg_gen import gen_register_op
from tensorflow.compiler.mlir.tfr.python.tfr_gen import tfr_gen_from_module
from tensorflow.python.ops import gen_array... | tensorflow/tensorflow | tensorflow/compiler/mlir/tfr/examples/pad/ops_defs.py | ops_defs.py | py | 4,951 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.compiler.mlir.tfr.python.composite.Composite",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.compiler.mlir.tfr.python.composite",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tensorflow.python.platform.flags.FLAGS... |
35892256181 | import bs4
import requests
import constants as keys
from services import convert_price
class WatsonsHelper:
@staticmethod
def get_category_urls(base_url):
r = requests.get(base_url)
soup = bs4.BeautifulSoup(r.content, features="lxml")
urls = list()
links = soup.findAll("a", {"... | selimslab/entrophy | spiders/spider_modules/visible/with_search/watsons_helper.py | watsons_helper.py | py | 1,829 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "services.convert_price",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "constants.LINK"... |
33977987526 | import numpy as np
import cv2
import re
# 绘制画布
canvas = np.zeros((720,1280,3),dtype="uint8")
# 定义颜色
green = (0,255,0)
red = (0,0,255)
blue = (255,0,0)
f = open('xml.txt', 'r')
# 用于存储需要绘制直线的三个点坐标 因为点坐标为数字 所以必须用数组
x = [0, 0, 0]
y = [0, 0, 0]
# 一次性读取所有的内容 节省时间
line = f.readlines()
# print(line)
# print(line[0])
# 设置... | hejiam/ann | test/write_line.py | write_line.py | py | 1,381 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cv2.line",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "cv2.line",
"line_number": 54,
"u... |
41765704307 | import numpy
import itertools
import functools
def evaluate_test_data(self, test_data):
test_res = [(numpy.argmax(self.compute(x)), numpy.argmax(exp)) for (x, exp) in test_data]
return sum([int(idx_got == idx_exp) for (idx_got, idx_exp) in test_res])
def evaluate_test_mnist_data(self, test_data):
test_res... | pmgzo/whatIsThisFlower | server/cnn/evaluation.py | evaluation.py | py | 1,558 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.argmax",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number... |
32646999665 | import argparse
import os
from rinna_ure import get_ure_answers
from dotenv import load_dotenv, find_dotenv
load_dotenv(find_dotenv())
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Query URE for an answer.")
parser.add_argument("query", type=str, help="The query to ask.")
parse... | AkihiroFujimotoChocolate/openai-ure-sample | get_ure_answer.py | get_ure_answer.py | py | 794 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dotenv.find_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rinna_ure... |
26911478574 | import matplotlib.pyplot as plt
import numpy as np
N = 3
ind = np.arange(N) # the x locations for the groups
width = 0.25 # the width of the bars
fig, ax = plt.subplots()
pos_bar = (0.36, 0.32, 0.28)
neg_bar = (0.54, 0.41, 0.34)
neu_bar = (0.08, 0.26, 0.38)
no_bar = (0.02, 0.01, 0.00)
rects1 = ax.bar(ind+... | wuzhenyusjtu/TwitterSentimentAnalysis_GOPDebates | SentimentClassification/draw.py | draw.py | py | 1,245 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.arange",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
40866047183 | from django.shortcuts import redirect, render
from django.contrib.auth.forms import AuthenticationForm, UserCreationForm
from .forms import RegisterForm
from django.contrib.auth import login as auth_login, authenticate, login
from django.views.generic import CreateView, UpdateView
from django.contrib.auth.models import... | 0-lingual/likelion | projectlion/test_jwt/accounts/views.py | views.py | py | 1,873 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.generic.CreateView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse_lazy",
"line_number": 14,
"usage_type": "c... |
18367266473 | from discord.ext import commands
from discord.ext.commands import Bot
from app.core.player import mp
class Clear(commands.Cog):
def __init__(self, client: Bot):
self.client = client
@commands.command(help="Clears the current queue of songs.")
async def clear(self, ctx: commands.Context):
... | xNykram/rhenus_bot | app/commands/clear.py | clear.py | py | 637 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name... |
9083697178 | """
Simple events listener
The events listener require a WSGI server to handle
the actual http requests.
"""
import json
import uuid
from wsgiref import simple_server
import falcon
import scgapi
class EventsListener(object):
def __init__(self, callback):
self.callback = callback
def on_get(self, r... | Syniverse/Messaging-Python | scgapi/Events.py | Events.py | py | 1,368 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "falcon.HTTP_200",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "falcon.HTTPBadRequest",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "falcon.HTTPErro... |
39013979564 | from random import sample
from itertools import chain
from typing import List
from colour import Color
import numpy as np
from tqdm.auto import tqdm
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_distances as pairwise_cos_dist
class Avance():
def __in... | Marceau-h/Dedoublonneur | Dedoubloneur/avance.py | avance.py | py | 4,105 | python | fr | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "tqdm.auto.tqdm.write",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tqdm.auto.tqdm",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "tqdm.auto.tqdm",
... |
8934359217 | """
the general training framework
"""
from __future__ import print_function
import os
import argparse
import socket
import time
import tensorboard_logger as tb_logger
import torch
import torch.optim as optim
import torch.nn as nn
import torch.backends.cudnn as cudnn
from models import model_dict
from models.util ... | kimyuji/SFTN_kd | train_student_aware_teacher.py | train_student_aware_teacher.py | py | 8,744 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "socket.gethostname",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
37712662477 | import numpy as np
import matplotlib.pylab as plt
import os
def nucleoPropuestoPrimo(f0, nHarmonics, fs, N, decayP=0.5, amplitudeLimit=0.5):
return getPrimeKernel(float(f0), nHarmonics, fs, N, decayP, amplitudeLimit)
def nucleoPropuestoNoPrimo(f0, nHarmonics, fs, N, decayP=0.5, amplitudeLimit=0.5):
return g... | juanfonsecasolis/ARAPSUAA | src/proposedKernels/proposedKernel.py | proposedKernel.py | py | 3,735 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.round",
"line_number": ... |
22007229288 | #!/usr/bin/python3
#
# unilaiva-copy-audio.py3
#
# Part of Unilaiva songbook system.
#
# Copies the .MIDI files created by Lilypond to another location and creates
# audio files (mp3) from those files in the new location also.
#
# For audio creation, executables 'ffmpeg' and 'fluidsynth', and a sound font
# file are re... | unilaiva/unilaiva-songbook | tools/unilaiva-copy-audio.py3 | unilaiva-copy-audio.py3 | py3 | 11,777 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "unicodedata.normalize",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "shutil.copy2",
"line_number":... |
20887624308 | import torch
from models import MobileNet
from utils import utils
from torchsummary import summary
import time
if __name__ == "__main__":
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
#model = MobileNet.MobileNetV1Conv224(num_classes=30)
#model = MobileNet.MobileNetV1Dw224(num_c... | nesvera/classifiers | eval_speed.py | eval_speed.py | py | 1,098 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.device",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.hub.load",... |
26001602216 | from gui.util.multiselect import Multiselect
from scripts.util.util import parse_options, write_options
from gui.util.script_progress import ScriptProgress
from gui.util.util import bind_button
from gui.util.select_directory import SelectDirectory
from scripts.upload_files import upload_files
from tkinter import *
from... | demarcod1/librarianz-scripts | gui/screens/upload_files.py | upload_files.py | py | 4,543 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.ttk.Frame",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tkinter.ttk",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "tkinter.ttk.Frame.__init__",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tkinter... |
26953127849 | from typing import Optional
import click
import clinica
import clinica.pydra.engine_utils as pydra_utils
import clinica.pydra.statistics_volume.pipeline as pydra_statistics_volume
from clinica.pipelines import cli_param
from clinica.pipelines.engine import clinica_pipeline
pipeline_name = "pydra-statistics-volume"
... | aramis-lab/clinica | clinica/pydra/statistics_volume/statistics_volume_cli.py | statistics_volume_cli.py | py | 4,926 | python | en | code | 196 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 85,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 86,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 88,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
40089403828 | """Button platform for La Marzocco espresso machines."""
import logging
from homeassistant.components.button import ButtonEntity
from .const import (
DOMAIN,
ENTITY_FUNC,
ENTITY_ICON,
ENTITY_MAP,
ENTITY_NAME,
ENTITY_TYPE,
TYPE_START_BACKFLUSH,
MODEL_GS3_AV,
MODEL_LM,
)
from .entit... | rccoleman/lamarzocco | custom_components/lamarzocco/button.py | button.py | py | 1,705 | python | en | code | 59 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "const.ENTITY_NAME",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "const.ENTITY_MAP",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "const.ENTITY_TYP... |
14318308061 | from __future__ import print_function, division
from keras.models import Model
from keras.layers import Concatenate, Add, Average, Input, Dense, Flatten, BatchNormalization, Activation, LeakyReLU
from keras.layers.convolutional import Convolution2D, MaxPooling2D, UpSampling2D, Convolution2DTranspose
from keras import b... | Sanketp1997/Image-SuperResolution-Using-Deep-Leaning-Keras-Implementation- | Project Source code/models.py | models.py | py | 13,589 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "warnings.warn",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "img_utils.output_path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "img_utils.validation_output_path",
"line_number": 24,
"usage_type": "attribute"
},
{
"ap... |
34952467024 | import gym
import numpy as np
from gym.envs.registration import register
def make(
domain_name,
task_name,
noise,
mult_factor,
idx,
seed=1,
visualize_reward=True,
from_pixels=False,
height=84,
width=84,
camera_id=0,
frame_skip=1,
episode_length=1000,
environment... | capybaralet/REx_code_release | reinforcement_learning_with_spurious_correlations/dmc2gym/__init__.py | __init__.py | py | 1,469 | python | en | code | 62 | github-code | 18 | [
{
"api_name": "gym.envs",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "gym.envs.registration.register",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 53,
"usage_type": "call"
}
] |
72851724201 | import wikipedia
from bs4 import BeautifulSoup
import pandas as pd
import time
import urllib.parse
import random
teams = [
# {
# "team": "Czech Republic",
# "players": {
# "goalkeepers": ["Ales Mandous", "Jiri Pavlenka", "Tomas Vaclik"],
# "defenders": ["Jan Boril", "Jakub ... | christinabo/euro-2020-players-careers | retrieve_data.py | retrieve_data.py | py | 11,410 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.sleep",
"line_number": 138,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 138,
"usage_type": "call"
},
{
"api_name": "wikipedia.search",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse.quot... |
69813867242 | # -*- coding: utf-8 -*-
import scrapy
from ..items import CodeItem
class JpointSpider(scrapy.Spider):
name = 'jpoint'
allowed_domains = ['www.javatpoint.com']
start_urls = ['https://www.javatpoint.com/operators-in-java']
def parse(self, response):
# tk=response.css('.codeblock')
# dess=r... | IT16029682/IRWA-Scrapy-Python-JavaTpoint | javatpoint/javatpoint/spiders/jpoint.py | jpoint.py | py | 1,638 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "items.CodeItem",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 36,
"usage_type": "call"
}
] |
36361957079 | import numpy as np
import os
import collections
import string
import re
EMBED_DIM = 128
def normalize_answer(s):
"""Lower text and remove punctuation, articles and extra whitespace."""
def remove_articles(text):
regex = re.compile(r'\b(a|an|the)\b', re.UNICODE)
return re.sub(regex, ' ', text)... | peters92/ssqa | src/model/ga-reader-squad/utils/Helpers.py | Helpers.py | py | 9,963 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.UNICODE",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_numb... |
41421938539 | #! /usr/bin/env python
import sys
import os
import pygame
from pygame.locals import *
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
import game_lib
'''
def load_image(image_path):
from PIL import Image
from PIL import ImageDraw
image = Image.open(image_path)
draw = ImageD... | CospanDesign/python | game/animation/animation.py | animation.py | py | 1,494 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
538568032 | import numpy as np
import re
import time
import utils
from bpe import BPE
bpe = BPE()
bpe.load('data/words.bpe')
endToken = bpe.str_to_token['\n']
numTokens = len(bpe.str_to_token)
raw_data = utils.get_dataset(low_it=True)
SAVE_NAME = 'data/train_data_bpe_edition.npz'
DATA_TO_PROCESS = int(input('data to process, {... | okawo80085/bigBoiTalkBot | dp_bpe_edition.py | dp_bpe_edition.py | py | 1,793 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "bpe.BPE",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bpe.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bpe.str_to_token",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "bpe.str_to_token",
"line_numb... |
702953838 | """Implementation referenced from ESIPy under BSD-3-Clause License"""
import hashlib
import inspect
import logging
import pickle
from email.utils import parsedate
from dataclasses import dataclass
from datetime import datetime, timedelta
from typing import Coroutine, Union, Callable
from eve_tools.data.db import ESIDB... | slashdotblake/eve_tools | eve_tools/data/cache.py | cache.py | py | 7,589 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pickle.dumps",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",... |
1699873140 | from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse, HttpResponseRedirect, Http404
from intranet.decorators import role_required
from .models import *
from django.urls import reverse
from django.contrib import messages
import csv
fro... | tanaymitkari1/IntraNet | placement/views.py | views.py | py | 4,340 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.http.Http404",
"line_number": 28,
"usage_type": "name"
},
... |
41412230238 | """File containing tests specific for the djWasabi/container.py file."""
import sys
import os
import requests
import pytest
currentPath = os.path.dirname(os.path.realpath(__file__))
rootPath = os.path.join(currentPath, "..")
libraryDir = os.path.join(rootPath, "lib")
sys.path.append(libraryDir)
from djWasabi import d... | dj-wasabi/dj-wasabi-release | tests/test_container.py | test_container.py | py | 4,868 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
70911656040 | from math import pi, cos, sin, sqrt
from typing import Type
import bpy
from bpy.props import *
from bpy.types import NodeSocket
import mathutils
import arm.node_utils
import arm.utils
if arm.is_reload(__name__):
arm.node_utils = arm.reload_module(arm.node_utils)
arm.utils = arm.reload_module(arm.utils)
else:... | armory3d/armory | blender/arm/logicnode/arm_sockets.py | arm_sockets.py | py | 23,403 | python | en | code | 2,916 | github-code | 18 | [
{
"api_name": "arm.node_utils.is_reload",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "arm.node_utils",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "arm.node_utils.node_utils",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name":... |
23990345804 | import discord
import sys
import foods
import dice
import scores
from game_logic import is_over, play_game
MAX_RANGE = 1000
intents = discord.Intents.default()
intents.message_content = True
client = discord.Client(intents=intents)
playing = False
@client.event
async def on_ready():
pri... | mhoang19/Discord-bot | bot.py | bot.py | py | 2,792 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.Intents.default",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "discord.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "foods.load_... |
73995086760 | from omegaconf import OmegaConf
import torch
import logging
from agent.polybeast.models.base import BaseNet, RandomNet, HalfCheetahAgent
from nle.env.base import DUNGEON_SHAPE
from envs.skills_all import HalfCheetah
from agent.common.envs import tasks
from agent.polybeast.models import BaseNet
def create_basenet(fla... | SSHAY007/skillhack | agent/polybeast/skill_transfer/skill_transfer.py | skill_transfer.py | py | 1,794 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.critical",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "agent.polybeast.models.BaseNet",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "agent.polybeast.models.base.HalfCheetahAgent",
"line_number": 18,
"usage_type": "name"
... |
16828156072 | from django.shortcuts import render, redirect
from .models import tournament as t_db
from .models import registration
from .models import tournamentMatch
from .forms import NewTournamentForm
from users.models import Profile
from django.contrib import messages
from underscore import _
from django.core import serializers... | CSE-Courses/course-project-a4-group | GoodGames/tournament/views.py | views.py | py | 4,722 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "models.tournamentMatch.objects.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.tournamentMatch.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "models.tournamentMatch",
"line_number": 15,
"usage_type": "name"
... |
309815643 | from collections import deque
with open('input.txt', 'r') as f:
n, m = map(int, f.readline().split())
b = []
for i in range(n):
b.append(int(f.readline()))
print(b)
feed = []
i = 0
type = None
add_later = deque([])
while i < n:
if b[i] != type:
feed.append(i)
type = b[i]
e... | smetanadvorak/programming_problems | yandex/entry_contest/c_social_network/main.py | main.py | py | 1,874 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 14,
"usage_type": "call"
}
] |
40286212298 | import logging
import numpy as np
from timeit import default_timer as timer
import alphai_crocubot_oracle.crocubot.evaluate as crocubot_eval
import pandas as pd
from alphai_crocubot_oracle.oracle import CrocubotOracle
from alphai_feature_generation.transformation import GymDataTransformation
from copy import deepcopy... | alpha-i/oracle-metacrocubot-python | alphai_metacrocubot_oracle/oracle.py | oracle.py | py | 6,851 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alphai_crocubot_oracle.oracle.CrocubotOracle",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "alphai_feature_generation.transformation.GymDataTransformation.KEY_EXCHANGE",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "alphai_feature_gene... |
24781851307 | import discord
from discord.ext import commands, tasks
from discord import Embed
import api
import database as db
from util import checks, log
import logging
from datetime import datetime, timezone, timedelta
from dateutil import parser
import pytz
logger = logging.getLogger('__name__')
logger.setLevel(logging.INFO)
... | dlsnyder8/smmodiscord | cogs/diamond.py | diamond.py | py | 4,427 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.Forma... |
9347255308 | import json
import os
from os.path import dirname, join
import tempfile
from pathlib import Path
from shutil import copyfile, rmtree
from unittest import TestCase
from unittest.mock import call, Mock, patch
from msm import MycroftSkillsManager, AlreadyInstalled, AlreadyRemoved
from msm.exceptions import MsmException
... | MycroftAI/mycroft-skills-manager | tests/test_mycroft_skills_manager.py | test_mycroft_skills_manager.py | py | 15,771 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "shutil.copyfile",
... |
3273275831 | import torch
from bench.core.executer import Executer
def __split_heads_qkv(queries, keys, values, n_head, d_key, d_value):
"""
Reshape input tensors at the last dimension to split multi-heads
and then transpose. Specifically, transform the input tensor with shape
[bs, max_sequence_length, n_head * hi... | DeepLink-org/DLOP-Bench | bench/samples/long_tail/split_heads_qkv/torch_impl.py | torch_impl.py | py | 1,490 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "torch.reshape",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.transpose",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.reshape",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.transpose",
"li... |
74819064360 | from flask import Flask, render_template, request, redirect, url_for, send_file, flash
from youtube_downloader import VideoDownloader, PlaylistDownloader
from io import BytesIO
from zipfile import ZipFile
app = Flask(__name__)
app.config['SECRET_KEY'] = 'Powerful Secret Key'
@app.route('/', methods=['GET', 'POST'])
d... | MaarkNassef/YouTubeDownloader | app.py | app.py | py | 3,444 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.render_templ... |
29808135228 | from tkinter import *
from PIL import ImageTk, Image
import t
import callfunction
#from tqdm import tqdm
class MyWindow:
data=[]
def __init__(self, win):
#replace data with values of list
ima=Image.open('hevo1.png')
pho=ImageTk.PhotoImage(ima)
i4=Label(win... | oshivarma/Identify-Fake-Email | gui.py | gui.py | py | 2,077 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"li... |
8225019591 | import sys
import submodels_module as modelbank
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
from scipy.stats import ttest_ind_from_stats as ttest
import load_format_data
def main():
'''
train a model if we only had sorted into 2 gates instead of 4
... | HackelLab-UMN/DevRep | main_paper_one/main_twogateassay.py | main_twogateassay.py | py | 3,753 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "submodels_module.twogate_assay_to_yield_model",
"line_number": 33,
"usage_type": "call"
},
{
"api_nam... |
34786736124 | from fastapi import status
from fastapi.responses import JSONResponse
from app.apis.schemas.errors_schema import ApiError
# Function that wraps the error response into predefined schema
def generate_api_error_response(status_code: int, detail: str) -> JSONResponse:
return JSONResponse(
status_code=status... | hutanmihai/FMI | Anul II/Semestrul II/MDS/ProiectMDS/calorie-tracker-backend/app/apis/utils/utils.py | utils.py | py | 1,081 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "fastapi.responses.JSONResponse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.apis.schemas.errors_schema.ApiError",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.responses.JSONResponse",
"line_number": 8,
"usage_type": "n... |
18614036309 | import sys
from streamlit import cli as stcli
from folium.plugins import HeatMap
import folium
from streamlit_folium import folium_static
import tempfile
import streamlit as st
import pandas as pd
import numpy as np
from PIL import Image
import time
import os
import json
import torch
import cv2
... | sweetlhare/rescue-Kamchatka-animals | main.py | main.py | py | 8,922 | python | ru | code | 1 | github-code | 18 | [
{
"api_name": "torch.hub.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.hub",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "streamlit.cache",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"... |
3330774416 | # Задание №4
# Создать программу, которая будет производить подсчет количества слов в
# каждом файле в указанной директории и выводить результаты в консоль.
# Используйте потоки.
import os
import asyncio
import aiofiles as aiofiles
import aiohttp
import time
async def word_counter(file_path):
# вариант 1 - with o... | pvs7918/StudyPyt2 | StudyFlask/seminar4/lesson/task6/task6.py | task6.py | py | 1,477 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "aiofiles.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
... |
41067746069 | from typing import Optional
from datetime import datetime
from uuid import UUID
class User:
def __init__(
self,
id: str,
display_name: str,
email: str,
created_at: int,
) -> None:
self.id = id
self.email = email
self.created_at = created_at
... | sunero4/campaigneon | backend/backend/db/models.py | models.py | py | 2,573 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "uuid.UUID",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"... |
4586452965 | import os
import sys
import time
import unittest
import uuid
from ament_index_python.packages import get_package_share_directory
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch.actions import IncludeLaunchDescription
import launch
import launch_ros
import launch_ros.actions
i... | thehummingbird/ros2_boilerplate | src/perception/test/test_perception.py | test_perception.py | py | 2,940 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "ament_index_python.packages.get_package_share_directory",
"line_number": 33,
"usage_type": "call"
},
{
... |
14729114274 | import json
import logging
import requests
from models import User
from oauth2client.crypt import AppIdentityError
from oauth2client import client
from app_config import config
from stormpath.resources import Provider
from stormpath.error import Error as StormpathError
def get_auth_application():
return config.ST... | agosto-travisblanton/fork-test | lib/usr/stormpath_api.py | stormpath_api.py | py | 2,265 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "app_config.config.STORMPATH_CLIENT.applications.search",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app_config.config.STORMPATH_CLIENT",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "app_config.config",
"line_number": 13,
"us... |
10053773221 | from collections import OrderedDict
from typing import List
import pandas as pd
class TaskField:
def __init__(self, name: str = None):
if name is None:
self.name = type(self).__name__
else:
self.name = name
def get(self, task_id: int):
return task_id
class T... | AllenMuhanChen/EStimShape | EStimShapeAnalysis/src/compile/task/task_field.py | task_field.py | py | 2,300 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",... |
13037886892 | import pandas as pd
import numpy as np
import datetime
def ex1():
dt_rng = pd.date_range('2015-03-02 00:00:00', '2015-03-03 23:00:00', freq='H')
print(dt_rng)
def ex2():
dt_rng = pd.date_range('2015-03-02 00:00:00', '2015-03-03 23:00:00', freq='H')
print(dt_rng)
def ex3():
dt_rng = pd.date_ran... | yizhaocs/python-jupyter-notebook | pandas_timeseries_operation.py | pandas_timeseries_operation.py | py | 1,372 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.date_range",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.date_range",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.date_range",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.date_rang... |
15854529404 | from models import *
from flask import abort
def clean_posts():
[db.session.delete(post) for post in DeletedPost.query.all()
if User.query.filter_by(email=post.json_column["author_email"]).first() is None]
for post in BlogPost.query.all():
try:
user = User.query.filter_by(email=post.a... | ethanzrd/RESTful-blog-restructured | maintenance.py | maintenance.py | py | 2,006 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.abort",
"line_number": 48,
"usage_type": "call"
}
] |
39207743053 | # import pygame
from pygame import Surface, Rect
from pygame.event import Event
# import pygame_gui
from pygame_gui import UIManager, UI_BUTTON_PRESSED
from pygame_gui.elements import UIButton
# import parent class
from IAppState import IAppState
class MainMenuState(IAppState): # class inherits from IAppState
... | Asmaar56/Recordings2 | menu_states/main_menu_state.py | main_menu_state.py | py | 7,680 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "IAppState.IAppState",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pygame.Surface",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pygame_gui.UIManager",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pygame.Surfac... |
73656068520 | # @author Filip Durca
# This is the main file that compiles the data
# import
import requests
import json
# Variables
URL = "https://data.ontario.ca/api/3/action/datastore_search?resource_id=455fd63b-603d-4608-8216-7d8647f43350&limit=300000"
request = requests.get(URL)
data = request.json();
d = data.get("result")
re... | fdurca/Ontario_Covid_19_Data | Main.py | Main.py | py | 1,131 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
}
] |
12877813065 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#-- General imports --#
import json
import os
from datetime import datetime, timedelta
from pprint import pprint
from copy import deepcopy as copy
from termcolor import colored
import base64
#-- 3rd Party imports --#
from Crypto.Cipher import AES
class Chats(object):
... | VictorBusque/FIB-Chatbot | Fibot/chats.py | chats.py | py | 6,433 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 73,
... |
70377503400 | """
This file is part of the tractor library.
See LICENSE.txt for licensing, CONTRIBUTORS.txt for contributor information.
Created on Jan 06, 2012.
"""
from StringIO import StringIO
from datetime import datetime
from tractor.attachment import AttachmentWrapper
from tractor.attachment import Base64Converter
from tract... | helixyte/tractor | tractor/tests/test_attachment.py | test_attachment.py | py | 5,970 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "tractor.tests.base.BaseTestCase",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "xmlrpclib.Binary",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tractor.attachment.Base64Converter.encode_string",
"line_number": 22,
"usage_type": "cal... |
31936446995 | import netmiko as nk
import re
def Buscar(macadd,conex):
macta = conex.send_command("show mac address-table | include " + macadd)
mat=re.compile(r"\s*?(\d\s+[a-f0-9]{1,4}\.[a-f0-9]{1,4}\.[a-f0-9]{1,4}\s+\w+)\s+((Fa|Gi)\d{1,2}\/\d{1,2}\/?(\d{1,2})?)")
checar = mat.search(macta)
if checar != None:... | Mauricio-Macias-Quezada/Script-Find-MAC-Address | App Find MAC Address.py | App Find MAC Address.py | py | 5,018 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 20,
... |
21047050023 | from decimal import *
import gmpy2
getcontext().prec = 102
sum = 0
for i in range(2, 100):
if (gmpy2.is_square(i)):
continue
sq = Decimal(i).sqrt()
st = str(sq)
st = st[:-2]
for s in st:
if (s != '.'):
sum += int(s)
print(sum) | nicholas-wacks/nwacks-project-euler | Euler/Complete/Problem80.py | Problem80.py | py | 288 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gmpy2.is_square",
"line_number": 9,
"usage_type": "call"
}
] |
9250132866 | #!/usr/bin/env python3
#----------------------------------------------------
# Created By: Irsyaad Hasif (hasifirsyaad@gmail.com)
# Created On: 26 Apr 2022
# Version: 1.0
#----------------------------------------------------
# This script batch downloads RefSeq complete genomes
# classified under a specific taxonomic... | hasnotif/cavs-taxonomic-classification | batch_download_refseq.py | batch_download_refseq.py | py | 4,423 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_... |
28647784731 | # this class will have all the helper functions for the API classes
# decision should be made later if we have to seperate the helpfer function by API
from flask import current_app
from .gdbmethods import GDBUser
#from .models import EmailUserQueue
from .friendlistdb import FriendListDB
from .mongodbfunc import MongoDB... | 4000Eyes/fte-source | app/model/classhelper.py | classhelper.py | py | 6,114 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "mongodbfunc.MongoDBFunctions",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "friendlistdb.FriendListDB",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "gdbmethods.GDBUser",
"line_number": 25,
"usage_type": "call"
},
{
"api_nam... |
18257673353 | # import the class that allows us to have abstract classes
from abc import ABCMeta, abstractmethod
# import the needed classes:
# navigableMenuOption : The mother class
# newsCategories : a sub option
from menu.navigableMenuOption import NavigableMenuOption
from newsCategories import NewsCategories
import config.j... | StefanoBerlato/Joni | JoniClient/menu/features/newsFeature/newsMenu.py | newsMenu.py | py | 2,783 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "menu.navigableMenuOption.NavigableMenuOption",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "config.joniConfig.areThereNewCategories",
"line_number": 46,
"usage_type": "attr... |
37273781004 | from django.shortcuts import render
from django.http import Http404
from django.views import View
import random
# Create your views here.
ingredients = {
'meats': ['honey glazed turkey', 'beef salami', 'chicken cutlet', 'pastrami', 'ham'],
'cheeses': ['mozzarella', 'provolone', 'muenster', 'american', 'pepper ... | jerielslay/sandwich-maker | sandwich_maker/sandwichapp/views.py | views.py | py | 1,970 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.View",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.views.View",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.ht... |
23576736691 | import pandas as pd
from matplotlib import pyplot as plt
csv0 = pd.read_csv('./dataset/datasetsporvo0.csv')
csv0 = pd.read_csv('./dataset/datasetsporvo0.csv')
csv1 = pd.read_csv('./dataset/datasetsporco.csv')
csv2 = pd.read_csv('./dataset/datasetsporco2.csv')
csv3 = pd.read_csv('./dataset/datasetsporco3.csv')
csv4 = ... | peppoct/SentimentAnalysisGreenpass | cumulative_graph.py | cumulative_graph.py | py | 1,885 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"l... |
40969910772 | #code
# Time Complexity - 0(N*N!)
# Space Complexity - O(N)
from itertools import permutations
for _ in range(int(input())):
s=str(input())
s=sorted(s)
for i in permutations(s):
k=''.join(map(str,i))
print (k,end=" ")
print () | BeerBytesIN/batch-nov-20 | parnamondal/Week - 3/Day - 2/Permutations of a given string.py | Permutations of a given string.py | py | 261 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "itertools.permutations",
"line_number": 10,
"usage_type": "call"
}
] |
37365313540 | from bs4 import BeautifulSoup
from helper import Remove_Character, Get_Position_Value, Join_Value_With, Remove_Unusal_Spaces, Name_Attribute
from db_configuration import db
import re
from helper import *
#Function to Scrap Data
def extractInfo(HtmlPage, collection_name, name_institute, id):
soup = BeautifulSoup(H... | lalitmahato/NICHE_image_scrapping | scrapping.py | scrapping.py | py | 15,855 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "db_configuration.db",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "db_configuration.db",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "bs4.Beautif... |
1691397121 | from django.http import HttpResponse
from django.shortcuts import render, get_object_or_404
from .models import Post, Group
# функция для index.html
def index(request):
title: str = 'Последние обновления на сайте.'
# в переменную posts будет сохранена выборка из 10 объектов модели Post,
# отсортированных... | Aleksey1976viktorovich/hw02_community_yatube | yatube/posts/views.py | views.py | py | 1,480 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "models.Post.objects.order_by",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "dja... |
11901647199 | # -*- coding:utf-8 -*-
import json
import sys
def main(input_json, output_json):
bullet_path = 'predict.label'
ERROR_CASE_OUTPUT = 1
error_case_path = 'error_case.json'
if ERROR_CASE_OUTPUT == 1:
error_case_stream = open(error_case_path, 'w')
error_case = []
error_case_num = 0
... | safpla/zzq | demo/label_reload.py | label_reload.py | py | 1,792 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 42,
"... |
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