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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
28105491571 | from flask import Flask
import pandas as pd
import numpy as np
from flask import request
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity
app = Flask(__name__)
def create_soup(x):
return x['task_title'] + ' ' + x['difficulty_level'] + ' '+x['task_... | M-Hammad0/recommendation-engine | app.py | app.py | py | 3,255 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction... |
20020535165 | import yfinance
' some text '.strip
a = "AB"
print(a.lower)
asx_value = 7111.4
date = "2021-01-25"
units = 1
currency = "AUD"
print(f"The closing value of {units} unit of the All Ordinaries on {date} was {asx_value} {currency}.")
# Downloads Qantas share price beginning 1 January 2020
tic = "QAN.AX"
start = '2020-0... | TerryChan74/z5466707_lecture | main.py | main.py | py | 415 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "yfinance.download",
"line_number": 18,
"usage_type": "call"
}
] |
25660929949 | #this is a comment
from collections import Counter
def checkAnagram(num1,num2):
bin1 = bin(num1)[2:]
bin2 = bin(num2)[2:]
zeros = abs(len(bin1)-len(bin2))
if (len(bin1)>len(bin2)):
bin2 = zeros * '0' + bin2
else:
bin1 = zeros * '0' + bin1
dict1 = Counter(bin1)
dict2 = Counter(bin2)
if dict1 == dic... | GyanPrakashSinghIIITG/Create-your-pull-request-for-Hactoberfest | Python_Algorithms/is_anagram.py | is_anagram.py | py | 504 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 13,
"usage_type": "call"
}
] |
41219784875 | import pytest
from chalice import UnprocessableEntityError, ChaliceViewError, NotFoundError
from fire_manager.application.firefighter.remove_firefighter.remove_firefighter_error_serializers import \
RemoveFirefighterErrorSerializers
from fire_manager.domain.firefighter.remove_firefighter.remove_firefighter_usecase... | MiguelCatalan/fire.manager | test/application/remove_firefighter/test_remove_firefighter_error_serializers.py | test_remove_firefighter_error_serializers.py | py | 2,230 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fire_manager.domain.firefighter.remove_firefighter.remove_firefighter_usecase.FirefighterNotFound",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "chalice.NotFoundError",
"line... |
4090519187 | """scrapli_netconf.transport.plugins.system.transport"""
from io import BytesIO
from scrapli.exceptions import ScrapliConnectionNotOpened
from scrapli.transport.base import BaseTransportArgs
from scrapli.transport.plugins.system.transport import PluginTransportArgs, SystemTransport
# imported from base driver
_ = Plu... | HWNET12/Nornir | .venv/lib/python3.9/site-packages/scrapli_netconf/transport/plugins/system/transport.py | transport.py | py | 2,112 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapli.transport.plugins.system.transport.PluginTransportArgs",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "scrapli.transport.plugins.system.transport.SystemTransport",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "scrapli.transport.base.B... |
16057371709 | import requests
from bs4 import BeautifulSoup
def get_html(url):
response = requests.get(url)
html = response.text
soup = BeautifulSoup(html, 'html.parser')
return soup
def get_table_data(table):
teams = table.find_all('tr')
for team in teams:
team_info = dict()
info = team.fin... | SyedMohamedHyder/WebScraping | PremierLeague/pl.py | pl.py | py | 1,027 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
}
] |
32210089860 | from torch import nn
import torch
class MyNet(nn.Module):
def __init__(self): # 第一个方法，初始化
super(MyNet, self).__init__() # 继承父类的方法
self.layers = nn.Sequential(
nn.Conv2d(3, 11, 3), # 输入通道为3，输出通道为11，卷积核为3*3
nn.LeakyReLU(), # 激活一下
nn.MaxPool2d(3), ... | Gary144/How_to_Build_a_DeepLearning_Project | From_Begin_to_Final/net.py | net.py | py | 2,007 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
26945116952 | import base64
import functools
import os
from django.conf import settings
from django.contrib.auth import login, logout
from django.core import signing
from django.core.urlresolvers import reverse
from django.db.models import Q
from django.http import HttpResponseRedirect
from django.utils.encoding import force_bytes
... | squarewave/addons-server | src/olympia/accounts/views.py | views.py | py | 15,536 | python | en | code | null | github-code | 18 | [
{
"api_name": "olympia.core.logger.core.logger.getLogger",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "olympia.core.logger.core",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "olympia.core.logger",
"line_number": 37,
"usage_type": "name"
}... |
34714229688 | import os
import sys
sys.path.insert(0, os.path.realpath(os.getcwd()))
import importlib
import os
import sys
import time
from fabric.api import local
from fabric.decorators import task
import version
from secrets import pypi_auth
def fatal(msg):
print("Fatal error: {}; exiting.".format(msg))
sys.exit(1)
... | elehcimd/hmm_filter | fabfile.py | fabfile.py | py | 5,572 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
14181212212 | import numpy as np
from scipy.io import loadmat
import pickle
import random
window_len = 30*256
pid = 1
file_x = r'\Users\Owner\Desktop\chb-mit\data\patient{0}\features_se.mat'.format(pid)
file_y = r'\Users\Owner\Desktop\chb-mit\data\patient{0}\y_data{0}.npy'.format(pid)
interval_file = r'\Users\Owner\Desktop\chb-mi... | jopineda/csc2516_project | svm_features.py | svm_features.py | py | 1,342 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number"... |
14375553955 | import discord
import os
import json
from discord.ext import commands, tasks
from itertools import cycle
def get_prefix(client, message):
with open('prefixes.json', 'r') as f:
prefixes = json.load(f)
return prefixes[str(message.guild.id)]
intents = discord.Intents.all()
client = commands.Bot(com... | richardrxn/Symbot | bot.py | bot.py | py | 2,608 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.Intents.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.comman... |
70989189481 | from collections import defaultdict
from utils.env import Environment
class JobProcessor():
def __init__(self, param_dict):
self.env = Environment()
self.job_name = 'job_{0}'.format(self.env.get_env())
self.jobparam_dict = param_dict[self.job_name]
self.build_table()
self.d... | hashmup/genie | genie/simulator/jobprocessor.py | jobprocessor.py | py | 3,155 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "utils.env.Environment",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
21009349503 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import warnings
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder, OrdinalEncoder
from xgboost import XGBClassifier
from sklearn.metrics import (
... | M2Max/AdultCensusIncomeClassification | Confronto.py | Confronto.py | py | 2,982 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.simplefilter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 30,
"usage_type": "call"
},
{
"api_... |
10662883274 | import random
from typing import List, Tuple, Any
from jass.agents.agent import Agent
from jass.logic.card import Card, Suit
from jass.logic.deck import Deck
from jass.logic.exceptions import GameOver
from jass.logic.player import Player
from jass.logic.trick import Trick
GOAL = 1000
class Team:
def __init__(se... | gregunz/JassAI | jass/logic/game.py | game.py | py | 7,543 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "jass.logic.player.Player",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "jass.logic.player.Player",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "jass.lo... |
36252982325 | import sys, os, json
from subprocess import Popen, PIPE
api_url = 'https://api.github.com/repos/tikzit/tikzit'
tok = os.getenv('GITHUB_TOKEN', '')
if tok == '':
print("Must set GITHUB_TOKEN environment variable.")
sys.exit(1)
# pretty-print JSON responses
def pr(j): print(json.dumps(j, indent=2))
# call GitHub A... | tikzit/tikzit | scripts/gh.py | gh.py | py | 918 | python | en | code | 1,028 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 24... |
33854667261 | import torch
from modules.bnn.modules.linear import BayesLinear
from modules.bnn.modules.emp_linear import EmpBayesLinear
from modules.bnn.modules.ext_emp_linear import ExtEmpBayesLinear
from modules.bnn.modules.mlg_linear import MLGBayesLinear
from modules.bnn.modules.cm_linear import CMBayesLinear
from modules.bnn.m... | mattcodeins/Individual-Research-Project | bayes_approx/modules/bnn/functional.py | functional.py | py | 5,802 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.log",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.pow",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.pow",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 27,
... |
41726578255 | from sklearn import svm, metrics
import torch
import numpy as np
from exp_config import ONESHOT_CONFIG
import random
np.random.seed(35813)
torch.manual_seed(35813)
### Direct to working environment
MODEL_OUTPUT_PATH = "/home/jia/Desktop/MSc_Project/imagetemplate/FedLIT/output"
data_path = "/home/jia/Desktop/MSc_Proj... | jiaji01/FedLIT | experiments/one_shot.py | one_shot.py | py | 3,429 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "random.randint",
... |
22682032023 | import shutil
from pathlib import Path
from unittest import TestCase
import numpy as np
import pytest
from geojson_modelica_translator.modelica.modelica_runner import ModelicaRunner
class GMTTestCase(TestCase):
def setUp(self):
# extend as needed to run these methods for all inherited test cases
... | urbanopt/geojson-modelica-translator | tests/base_test_case.py | base_test_case.py | py | 4,907 | python | en | code | 17 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_... |
23177737154 | import asyncio
import logging
import json
class UDPProtocol(asyncio.DatagramProtocol):
def __init__(self, queue, request_handler_resolver, loop):
self.queue = queue
self.request_handler_resolver = request_handler_resolver
self.loop = loop
self.transport = None
def __call__(sel... | vitrun/pok | raft/raft/network.py | network.py | py | 1,062 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "asyncio.DatagramProtocol",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "asyncio.ensure_future",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.lo... |
13353144212 | # -*- coding: utf-8 -*-
import re
import traceback
from django.views.generic import View, ListView, TemplateView
from django.contrib.auth.mixins import PermissionRequiredMixin
from django.db.models import Q, F
from django.http import QueryDict, JsonResponse
from common.mixins import JSONResponseMixin
from cmdb.models.... | yyukai/oneops | apps/cmdb/views/jump_wire.py | jump_wire.py | py | 9,029 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "django.contrib.auth.mixins.PermissionRequiredMixin",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "common.mixins.JSONResponseMixin",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 39,
... |
42917285160 | """Upper Confidence Bound 1
This module contains a class that implements UCB1 algorithm, a famous
multi-armed bandit algorithm without context.
"""
from __future__ import division
import numpy as np
import six
from striatum.bandit.bandit import BaseBandit
class UCB1(BaseBandit):
r"""Upper Confidence Bound 1
... | ntucllab/striatum | striatum/bandit/ucb1.py | ucb1.py | py | 6,570 | python | en | code | 110 | github-code | 18 | [
{
"api_name": "striatum.bandit.bandit.BaseBandit",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.sqrt",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "six.viewitems"... |
70404738601 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
description = "Bottle authentication, for Personal, Google, Twitter and "\
"facebook."
setup(
name='bottle-auth',
version="0.3.3",
description=description,
author="Thiago Avelino",
author_email="thiago@av... | avelino/bottle-auth | setup.py | setup.py | py | 982 | python | en | code | 29 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 15,
"usage_type": "call"
}
] |
4586288877 | from typing import Any, Callable, MutableMapping, Optional
from tensorflow import keras
class HyperparameterScheduler(keras.callbacks.Callback):
"""Generic hyperparameter scheduler.
!!! example
```python
bop = lq.optimizers.Bop(threshold=1e-6, gamma=1e-3)
adam = tf.keras.optimizers.A... | jwfromm/larq | larq/callbacks.py | callbacks.py | py | 2,864 | python | en | code | null | github-code | 18 | [
{
"api_name": "tensorflow.keras.callbacks",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing... |
7529824230 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision
from torchvision import datasets, transforms
from torch.utils.data import DataLoader
from logger import Logger
from datetime import datetime
import numpy as np
import matplotlib.pyplot as plt
from matplot... | bahammel/bayes | bay_nn_gauss_1HL_m1.py | bay_nn_gauss_1HL_m1.py | py | 8,502 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.set_default_tensor_type",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": ... |
26563564664 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 14 12:21:18 2018
@author: timothy
"""
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from scipy.optimize import curve_fit
from scipy import stats
from sklearn import linear_model
from sklearn.decomposition import PCA
from skl... | tshokair/jupyterhub_hosted | regression_tools/lib/regressions_statsmodel.py | regressions_statsmodel.py | py | 15,815 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.exp",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "statsmodels.formula.api.GLS",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "statsmodels.formula.api",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "matplot... |
44351049778 | import time
import datetime
import re
class CronSchedule(object):
_minutes = None
_hours = None
_doms = None # days of the month
_months = None
_dows = None # days of the week
def __init__(self,cron_line):
kwargs = parseCronLine(cron_line)
self._minutes = kwargs.get('minutes'... | medulla-tech/medulla | agent/mmc/core/tasks/cron.py | cron.py | py | 11,513 | python | en | code | 17 | github-code | 18 | [
{
"api_name": "copy.copy",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 137,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 192,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
14932749866 | import asyncio
import copy
import logging
from dataclasses import dataclass
from typing import Dict, Optional
from quadradiusr_server.config import GameConfig
from quadradiusr_server.constants import QrwsCloseCode
from quadradiusr_server.db.base import Game
from quadradiusr_server.db.base import User
from quadradiusr_... | Fruktus/QuadradiusR | Server/src/quadradiusr_server/game.py | game.py | py | 11,839 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "quadradiusr_server.game_state.GameState",
"line_number": 24,
"usage_type": "name"
},
{
"api_name"... |
71642417639 | # -*- coding: utf-8 -*-
import scrapy
class GdpDebtSpider(scrapy.Spider):
name = 'gdp_debt'
allowed_domains = ['worldpopulationreview.com']
start_urls = ['http://worldpopulationreview.com/countries/countries-by-national-debt/']
def parse(self, response):
countries = response.xpath("//table[@c... | Adamoc14/Scrapers_And_Crawlers | Scrapers/national_debt/national_debt/spiders/gdp_debt.py | gdp_debt.py | py | 780 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
}
] |
29664088255 | #!/usr/bin/python
from RPLCD.i2c import CharLCD
from gpiozero import RotaryEncoder, Button, Buzzer
import threading
import os
import sys
import time
class One_Wire(threading.Thread):
Device_Temp = ['00.0','00.0','00.0']
Device_ID = []
def __init__(self):
threading.Thread.__init__(self)
def r... | msandholz/CraftBeerPi | one_wire.py | one_wire.py | py | 5,363 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "threading.Thread",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": ... |
4446104979 | from collections import defaultdict
def solution(clothes):
clothesDict = defaultdict(lambda:0)
for value, key in clothes:
clothesDict[key] += 1
result = 1
for key in clothesDict:
result *= (clothesDict[key]+1)
return result-1 #어떤 옷도 착용하지않는 경우 제외 | prography-6th-study/algorithm-code | yeji/2-위장.py | 2-위장.py | py | 295 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 3,
"usage_type": "call"
}
] |
4668592281 | from typing import List, Optional
class Solution:
def findMin(self, nums: List[int]) -> Optional[int]:
n = len(nums)
if n == 1:
return nums[0]
if nums[0] < nums[-1]:
return nums[0]
for i in range(1,n):
if nums[i] > nums[i+1]:
ret... | yucongxing/leetcode | 0153_Find_Minimum_in_Rotated_Sorted_Array.py | 0153_Find_Minimum_in_Rotated_Sorted_Array.py | py | 416 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 5,
"usage_type": "name"
}
] |
32801954589 | import datetime
import json
import os
import boto3
def delete_recovery_point(client: boto3.client, vault_name: str, arn: str) -> None:
"Deletes a recovery point with the given arn from a given vault"
client.delete_recovery_point(BackupVaultName=vault_name, RecoveryPointArn=arn)
def get_old_recovery_points(... | marktheskies/aws-helper-scripts | delete-old-backup-recovery-points/delete_old_recovery_points.py | delete_old_recovery_points.py | py | 1,177 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "boto3.client",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "boto3.client",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "boto3.clien... |
71427120680 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O... | aorursy/new-nb-3 | henningyan_introduction-to-image-classification.py | henningyan_introduction-to-image-classification.py | py | 3,867 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"lin... |
10535269774 | import sys
from collections import deque
input = sys.stdin.readline
T = int(input())
for _ in range(T):
N, M = map(int, input().split())
q = deque()
temp = list(map(int, input().split()))
for i in range(len(temp)):
q.append((temp[i], i))
cnt = 0
while (q):
max_val = q[0][0]
max_idx = 0
for... | tsinghua-auto4/ct_note | BOJ/2303/12/이경훈_1966_프린터 큐.py | 이경훈_1966_프린터 큐.py | py | 568 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
39778644271 | #!/usr/bin/env python3
"""Represent one leg of a trip."""
import datetime
import numpy
import shapely
__all__ = ["TripLeg"]
class TripLeg:
"""
Represent one leg of a trip.
This is a base class, use one the specific classes,
e.g., TransitLeg, or DirectLeg
"""
COLUMNS = [
"transp... | r5py/r5py | src/r5py/r5/trip_leg.py | trip_leg.py | py | 4,276 | python | en | code | 90 | github-code | 18 | [
{
"api_name": "numpy.datetime64",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "shapely.LineSt... |
30271810436 | import logging
from pytos.common.base_types import XML_Object_Base, XML_List
from pytos.common.logging.definitions import XML_LOGGER_NAME
from pytos.common.definitions import xml_tags
from pytos.common.functions.xml import get_xml_text_value, get_xml_int_value, get_xml_node
from pytos.securetrack.xml_objects.rest.rule... | tgratzi/pytos | pytos/securetrack/xml_objects/rest/cleanups.py | cleanups.py | py | 3,634 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pytos.common.logging.definitions.XML_LOGGER_NAME",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "pytos.common.base_types.XML_List",
"line_number": 12,
"usage_type": ... |
73144323561 | """A mix of tools that didn't fit anywhere else."""
import numpy as _numpy
import scipy.fft as _fft
class Resampler(object):
"""Can be used to resample arbitrarily positioned
points to another set of arbitrarily positioned points."""
def __init__(self, input_points, output_points):
self._set_input... | ekeberg/Python-tools | eke/tools.py | tools.py | py | 17,824 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": ... |
10310754204 | from django.urls import include, path
from djoser.views import TokenCreateView, TokenDestroyView
from rest_framework.routers import DefaultRouter
from .views import CustomUserViewSet, SubscriptionListView, SubscriptionView
router = DefaultRouter()
router.register('users', CustomUserViewSet, basename='users')
urlpat... | uprofound/foodgram-project | backend/users/urls.py | urls.py | py | 752 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.CustomUserViewSet",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"a... |
32049308635 | import frida,sys
def on_message(message,data):
if message["type"] == 'send':
print("[*]{0}".format(message["payload"]))
else:
print(message)
# jscode = """
# Java.perform(
# function () {
# var v = Java.androidVersion;
# send('version:'+v);
#
# var classnames = Java.enumerateLoad... | qiaoxin0620/hook_demo | Hook/aliCrackme_jump_pass.py | aliCrackme_jump_pass.py | py | 873 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "frida.get_usb_device",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sys.stdin.read",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 42,
"usage_type": "attribute"
}
] |
1058211302 | from datetime import datetime, timedelta
from lib2to3.pgen2.token import GREATEREQUAL
from typing import Optional, Sequence
from sqlalchemy import create_engine, Column, Integer, String, DateTime, Interval
from sqlalchemy import func, select, text, desc, and_, or_
from sqlalchemy.orm import declarative_base, sessionma... | tglanz/webcheck | backend/repository.py | repository.py | py | 3,989 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.orm.declarative_base",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name":... |
71257021160 | import game_data
import art
import random
import os
def cls():
os.system('cls' if os.name == 'nt' else 'clear')
def print_intel(data):
print(f"""here we have
{data["name"]}
a {data["description"]} from {data["country"]}
""")
def follower_count_returner(data):
return data["follower_count"]
... | bv94/higher-lower-game | main.py | main.py | py | 1,889 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.system",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "art.logo",
"line_number": 27,
... |
25139809699 |
from scipy import fftpack
import numpy as np
N = 10
def main():
fftpack.fft(np.ones(N)) # The first component is np.mean(x) * N
z = np.ones(10)
z[::2] = -1
print("Applying FFT to {}".format(z))
fftpack.fft(z)
x = np.array([1, 5, 12, 7, 3, 0, 4, 3, 2, 8])
X = fftpack.fft(x)
np.set_p... | 666sempron999/FFT | article_examples/4.py | 4.py | py | 515 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scipy.fftpack.fft",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.fftpack",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.ones",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number... |
36319801920 | """
Image diff
"""
from PIL import Image
import argparse
import os
def get_args() -> None:
"""
Gets args from user
"""
parser = argparse.ArgumentParser("Gets the difference between two images.")
parser.add_argument('image1', help="Image 1")
parser.add_argument('image2',... | eduardosm7/image-diff | img_diff.py | img_diff.py | py | 1,991 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
... |
73813124520 | import json, urllib2
# need to create a copy of the job so as to create a new job
# include the cml in order to embed the image files
# API requisites
job = "44839"
key = "2e3d5066518dc1880eea0eb5c068b76b8163ae16"
# API Calls
new = "http://api.crowdflower.com/v1/jobs/upload.json?key=%s" % (key)
copy = "https://api.c... | dataarts/3-dreams-of-black | tests/crowdflower/imageThrow.py | imageThrow.py | py | 1,105 | python | en | code | 518 | github-code | 18 | [
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "urllib2.Request",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_num... |
17885907108 | #!/usr/bin/env python3
import mysql.connector
from mysql.connector import Error
import pandas as pd
import logging
from mysql.connector import errorcode
from multiprocessing import Lock
from datetime import datetime, timedelta
import collections
#EmailMessage
import smtplib
import ssl
from email.m... | roldanwselipgo/webapp | webapp/core/database/db.py | db.py | py | 3,370 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "multiprocessing.Lock",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 40,
"usage_type": "attribute"
},
{
... |
39715636572 | #!/usr/bin/env python
# standard libs
import pandas as pd
import subprocess
import numpy as np
import functools
import pickle
from matplotlib import pyplot as plt
# ML and keras
import keras
from sklearn.model_selection import train_test_split, StratifiedShuffleSplit
from keras.preprocessing.image import ImageDataGen... | Jodahr/gans-learning | main.py | main.py | py | 4,103 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "utils.predictGenerator",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "ker... |
29126217443 | import os
import boto3
from boto3.dynamodb.types import TypeDeserializer
import concurrent.futures
html_bucket_name = os.environ.get("S3_HTML", "scoreboard-html")
html_bucket = boto3.resource('s3').Bucket(html_bucket_name)
s3client = boto3.client('s3')
serializer = TypeDeserializer()
def deserialize(data):
if i... | jhogstrom/aoc-highscores | boarddeletions/boarddeletions.py | boarddeletions.py | py | 3,655 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "boto3.resource",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_n... |
69830336681 | import sys
import os
import requests
import csv
import pandas as pd
import numpy as np
import re
import pg8000
import certifi
import shutil
import errno
os.environ['REQUESTS_CA_BUNDLE'] = os.path.join(os.path.dirname(sys.argv[0]), 'cacert.pem')
# 定义插件目录
plugins_dir = 'C:/Users/rex/Anaconda3/Lib/site-packages/PyQt5/Qt5... | wenyi22/data-processing | wra_res_history_daily.py | wra_res_history_daily.py | py | 5,614 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line... |
33646407293 | import pandas as pd
from pandas_datareader import data as web
import numpy as np
import datetime as dt
import sqlalchemy
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
import matplotlib.ticker as ticker
import numpy as np
import os
STOCK_SYMBOLS = ['AAPL']
FINANCE_SOURCE_NAME = 'yahoo'
data_frames... | TundraJake/grad_project | symbol_fetcher.py | symbol_fetcher.py | py | 2,638 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas_datareader.data.DataReader",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas_datareader.data",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "numpy.float32",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_n... |
25159917355 | #
import json
import requests
#
def get_sentiment_result(text):
"""
利用情感倾向分析API来获取返回数据
:param text: 输入文本
:return response: 返回的响应
"""
if text == '':
return ''
# 请求接口
url = 'https://aip.baidubce.com/oauth/2.0/token'
# 需要先获取一个 token
client_id = 'gzd43E1o9zs5oYSYYGH55GUH'
... | belieberly/judicial_doc_measurement | utils/SubjectiveIndex/sentiment_classify.py | sentiment_classify.py | py | 1,842 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "requests.post",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 40,
"usage_type": "call"
}
] |
7580146060 | import subprocess
import argparse
# subprocess.call('ls -la', shell=True)
# subprocess.call('echo $HOME', shell=True)
# subprocess.call('mkdir hello',shell=True)
parser = argparse.ArgumentParser()
parser.add_argument("operations",help="operation")
parser.add_argument("suboperation",help="sub operation")
parser.add_ar... | Pranav-guptaa/Hacking-Stuff | automation/automated.py | automated.py | py | 2,281 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subprocess.cal... |
10013893799 | # import required module(s)
import pandas as pd
from ta.utils import dropna
import yfinance as yf
import os
# ta module reference
# https://technical-analysis-library-in-python.readthedocs.io/en/latest/
# import local python file(s)
from . import chaikinMoneyFlow as CMF
from . import movAvgConvDiv as MACD
from . impo... | siegewallace06/stock-signal-prediction | techIndicators/menu.py | menu.py | py | 6,121 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "yfinance.download",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": ... |
39250185698 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#who needs ROOT anyway?
import numpy as np
import matplotlib.pyplot as plt
from scipy import optimize
from scipy.stats import norm
import FC
gamma = 29.3 #'magic' gamma value for g-2
#make plots in g-2 style
plt.style.use('gm2.mplstyle')
plt.ion()
usingAllMomenta = F... | DragonDodo/gm2-EDMsim | wiggleFitter.py | wiggleFitter.py | py | 7,083 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_na... |
3638545456 | # 5) (JSON exercise) Create a list of dictionaries with 5 countries, their capital, and approx.
# population(of the capital)
# Sample entry:
# {‘Country’: ‘Canada’, ‘Capital’:’Ottawa’, ‘Population’: 883,391}
# Write the dictionary to a json format file.
# Check the contents of the file in notepad or other text editor.
... | JeffKingsbury/Python_courses_JAC | Python 2/class 3/5.py | 5.py | py | 1,171 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.dump",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 23,
"usage_type": "call"
}
] |
26438060190 | from datetime import datetime
from django.contrib.postgres.fields import JSONField
from django_currentuser.middleware import get_current_user, get_current_authenticated_user
from django.db import models
from absolutum.mixins import CoreMixin, DisplayMixin
class Log(models.Model, CoreMixin, DisplayMixin):
"""
... | tayursky/med-crm | sip/models/log.py | log.py | py | 2,485 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "absolutum.mixins.CoreMixin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "... |
1972442772 | import logging
import pandas as pd
import os
import numpy as np
import re
import pickle
import json
from collections import OrderedDict, defaultdict
from torch.utils.data import Dataset
from tikuna.common.utils import decision
def load_sessions(data_dir):
with open(os.path.join(data_dir, "data_desc.json"), "r") a... | edenia/tikuna | tikuna/common/dataloader.py | dataloader.py | py | 6,850 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number":... |
33100824349 | from pprint import pprint
import ast
import re
import json
import requests
TOKEN = "3018687491722745"
class Superhero:
def __init__(self,name,intelligence):
self.name = name
self.intelligence = intelligence
hero_intel = []
def compare(heroes):
max_int = 0
hero_name = "... | EgorOnischenko/http_hww | http_hw1.py | http_hw1.py | py | 1,166 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pprint.pprint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 41,
"usage_type": "call"
}
] |
35889878051 | import os
import sys
import pandas as pd
from text.constants import *
from text.logger import logging
from datasets import load_from_disk
from transformers import AutoTokenizer
from transformers import AdamWeightDecay
from text.exception import CustomException
from text.entity.config_entity import ModelTrainerConfig
fr... | Jvdboss7/text-summarization-using-tensorflow | text/components/model_trainer.py | model_trainer.py | py | 5,162 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "text.entity.artifacts_entity.DataTransformationArtifacts",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "text.entity.config_entity.ModelTrainerConfig",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "datasets.load_from_disk",
"line_number"... |
13673827106 | from __future__ import annotations
from .tensor import Tensor, Dependency
from . import utils as U
import numpy as np
import math
from typing import (
Optional, Union, List, Tuple
)
def abs(x: Tensor) -> Tensor:
data = np.absolute(x.data)
requires_grad = x.requires_grad
dependencies = []
if x.... | shizuku/cranet | src/cranet/autograd/function.py | function.py | py | 13,018 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "tensor.Tensor",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.absolute",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.where",
"li... |
71874862441 | from django.shortcuts import render
from rest_framework.views import APIView
from django.http import JsonResponse, HttpResponse
from .models import TopicPlaylist, Playlists, Artists, PlaylistOfTopic, ArtistOfPlaylist
from .serializers import TopicPlaylistSerializers, PlaylistSerializers, ArtistSerializers, PlaylistSort... | DUC-LV/zingmp3_projects | src/playlists/views.py | views.py | py | 3,689 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.AllowAny",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 16,
"usage_type": "call"
},
... |
37740711105 | from datetime import datetime, timedelta
from airflow.decorators import task, dag
default_args = {
"start_date": datetime(2022, 4, 1),
}
@task.python(task_id="new_getting_data", do_xcom_push=False, multiple_outputs=True)
def getting_data():
print("getting data")
# multiple return xcom by key
return ... | marti1125/airflow2-demo | dags/task_flow_dag.py | task_flow_dag.py | py | 826 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "airflow.decorators.task.python",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "airflow.decorators.task",
"line_number": 10,
"usage_type": "name"
},
{
"api_name"... |
36271053745 | from cerberus.validator import DocumentError
from flask import abort
from flask import current_app as app
from eve.auth import requires_auth
from eve.methods.common import (build_response_document,
marshal_write_response, oplog_push, parse,
payload, pre_e... | pyeve/eve | eve/methods/post.py | post.py | py | 11,222 | python | en | code | 6,647 | github-code | 18 | [
{
"api_name": "eve.methods.common.ratelimit",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "eve.auth.requires_auth",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "eve.methods.common.pre_event",
"line_number": 20,
"usage_type": "name"
},
{
"... |
74045136679 | import copy
import math
import numpy as np
import scipy.stats
from typing import List, Dict, Tuple, Set, Sequence
Player = str
PlayerIdx = int
ELO_PER_STRENGTH = 400.0 * math.log10(math.exp(1.0))
P1_ADVANTAGE_NAME = "P1Advantage"
class EloInfo:
"""Summarizes maximum likelihood Elos and uncertainties for a group of... | AlignmentResearch/KataGo-custom | python/elo.py | elo.py | py | 18,973 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "math.log10",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 19,
... |
8894837739 | from operator import truediv
import sqlite3 as sl
import json
import time
import datetime
import os
from db_dictionary import dict_factory
from sys import platform
global car_space_id
car_space_id = 9
# no owner, need to add in frontend
def convert_path_to_data(path):
text_file = open(path, "r")
data = text_file... | jiaqi-714/carpark-renting-system | backend/car_spaces.py | car_spaces.py | py | 7,031 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getcwd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number":... |
28162500665 | # https://leetcode.com/problems/task-scheduler/
# leetcode
# 그리디
# 테스크 스케줄러
# 해결 못하고 책 풀이 분석함
#%%
tasks = ["A","A","A","B","B","B"]
n = 2
# tasks = ["A","A","A","B","B","B"]
# n = 0
# tasks = ["A","A","A","A","A","A","B","C","D","E","F","G"]
# n = 2
#%%
from collections import Counter
count = Counte... | ecosy/TIL | Algorithm/Greedy/leetcode/621_task-scheduler.py | 621_task-scheduler.py | py | 3,413 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
... |
19115059569 | from conans import ConanFile, tools
class SFTPAdapterInterfaceConan(ConanFile):
name = "SFTPAdapterInterface"
description = "Interface of library-agnostic API for C++ to work with SFTP"
author = "CSW <csw@werfen.com>"
topics = ("conan", "sftp", "adapter", "wrapper")
license = "MIT"
generators = "visual_studio"
... | systelab/cpp-sftp-adapter | SFTPAdapterInterface/conanfile.py | conanfile.py | py | 537 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "conans.ConanFile",
"line_number": 3,
"usage_type": "name"
}
] |
29130984123 | """Multiple TQDM progress bar manager singleton class"""
import random
from contextlib import contextmanager
from tqdm import tqdm
class Mtqdm():
"""Manage multiple nested tqdm progress bars with optional auto-coloring"""
def __new__(cls, use_color : bool=True, palette : str="default"):
if not hasattr(... | jhogsett/EMA-VFI-WebUI | webui_utils/mtqdm.py | mtqdm.py | py | 11,260 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "contextlib.contextmanager",
"line_number": 176,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number": 193,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 195,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
... |
4005203214 | import os
import sys
def bool_env(varname: str, default: bool) -> bool:
"""Read an environment variable and interpret it as a boolean.
True values are (case insensitive): 'y', 'yes', 't', 'true', 'on', and '1';
false values are 'n', 'no', 'f', 'false', 'off', and '0'.
Args:
varname: the name of the vari... | tensorflow/tensorflow | tensorflow/python/ops/numpy_ops/tests/config.py | config.py | py | 3,807 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "absl.flags",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "absl.flags.DEFINE_bool",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name": "absl.flags",
"li... |
28933452141 | import sys
assert sys.version_info > (3, 9)
from dataclasses import KW_ONLY, dataclass
import hypothesis.strategies as st
import pytest
from hypothesis import assume, given
from hydra_zen import builds, instantiate, just, make_config
from hydra_zen.structured_configs._type_guards import safe_getattr
from hydra_zen.... | mit-ll-responsible-ai/hydra-zen | tests/test_py310.py | test_py310.py | py | 2,486 | python | en | code | 235 | github-code | 18 | [
{
"api_name": "sys.version_info",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "hydra_zen.typing.DataclassOptions",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dataclasses.KW_ONLY",
"line_number": 22,
"usage_type": "name"
},
{
"api_na... |
3116720352 | import numpy as np
import torch
from functools import reduce
from collections import Counter
import scipy as sp
from sklearn.preprocessing import normalize
class Mesh:
def __init__(self, path, build_mat=False):
self.path = path
self.vs, self.faces = self.fill_from_file(path)
self.compute_fa... | astaka-pe/Dual-DMP | util/mesh.py | mesh.py | py | 13,428 | python | en | code | 25 | github-code | 18 | [
{
"api_name": "numpy.asarray",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.logical_and",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
41762906707 | from datetime import date, datetime, timedelta
try:
from .song_history import load_df
from .song_history import get_durations
except:
from song_history import load_df
from song_history import get_durations
import pandas as pd
import plotly.offline as opy
pd.options.plotting.backend = "plotly"
def to... | pmhalvor/website | radio/worker/plot.py | plot.py | py | 6,168 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.options",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "plotly.offline.plot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "plotly.offline",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "song_history.l... |
12960202378 | import matplotlib.pyplot as plt
import pyNN.spiNNaker as sim
from spynnaker.pyNN.utilities import neo_convertor
# number of neurons in each population
n_neurons = 100
n_populations = 10
weights = 0.5
delays = 17.0
simtime = 1000
sim.setup(timestep=1.0, min_delay=1.0)
spikeArray = {'spike_times': [[0]]}
stimulus = si... | SpiNNakerManchester/IntroLab | synfire/synfire_collab.py | synfire_collab.py | py | 1,709 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "pyNN.spiNNaker.setup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyNN.spiNNaker",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pyNN.spiNNaker.Population",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyNN.sp... |
71078560041 | from typing import Any, Dict, List, Optional, Tuple
from torch import Tensor
import torch
import torch.nn.functional as F
from fairseq.models.fairseq_encoder import EncoderOut
from fairseq.models.transformer import (
TransformerModel,
TransformerEncoder,
TransformerDecoder,
)
from fairseq.models import (
... | NJUNLP/knn-box | knnbox/models/pck_knn_mt.py | pck_knn_mt.py | py | 10,477 | python | en | code | 95 | github-code | 18 | [
{
"api_name": "adaptive_knn_mt.AdaptiveKNNMT",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "adaptive_knn_mt.AdaptiveKNNMT.add_args",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "adaptive_knn_mt.AdaptiveKNNMT",
"line_number": 39,
"usage_type": "na... |
71991340201 | from flask import Blueprint, abort, jsonify, request
import urllib
from util import filter_actors_helper
def construct_actor_blueprint(actor_data):
""" Create blueprint to handle API routing for actors
:param actor_data: JSON data for actors
:return: blueprint to handle routing for actor requests
"""
# initiali... | lstrait2/Wikipedia-Scraper | view/actor_views.py | actor_views.py | py | 3,161 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.abort",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flask.request.query_string"... |
8028009451 | #!/usr/bin/env python
## Time-stamp: "2015-12-03 17:03:20 marine"
import numpy as np
from scipy.integrate import quad
import matplotlib.pyplot as plt
IRON = {'name' : 'Fe', 'f1' : 5.26e-9, 'f2' : 1.24, 'f3' : -3.21}
def rho(f,f1,f2,f3) :
""" equation 9 Gomi 2013 """
return f1*(f2 - f)**f3
def resisti... | MarineLasbleis/StratifiedCore | diffusivity/kmodel.py | kmodel.py | py | 3,147 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.exp",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.quad",
"line_number... |
36530735654 | # Se importa openCV con cv2 para la inteligencia artificial de reconocimiento de caras
import cv2
# El haarcascade tiene precargado un reconocmiento de caras
face_cascade=cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
ds_factor=0.6
class VideoCamera(object):
def __init__(self):
# De esta forma se capt... | alegrimminck/codigosTesis | raspberry/flaskWebServer/camera.py | camera.py | py | 1,100 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
... |
72159809320 | from typing import Optional
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from core.executor import exec_run_python, get_container
app = FastAPI()
origins = [
"*",
]
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
allow_cr... | istommao/CodeRunner | main.py | main.py | py | 1,249 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 26,
"usage_type": "name"
},
{
"api... |
12110885995 | from __future__ import print_function
from SOAP import *
import os
import profile
import sys
import pdb
import numpy as np
rfeature=[['d',0,15,0.5]]
#'sftype':'psn3','par':range(1,15,3),'parvalue':range(4)
runenv.otherrun=False
# uniform refers to the number of anchor points in the recovery function
par2={'uniform':2... | salilab/SOAP | examples/aabench/distpot7.py | distpot7.py | py | 10,912 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "numpy.arange",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 123,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_numbe... |
36991836624 | import wx
from wx.lib.scrolledpanel import ScrolledPanel
import service
import gui.mainFrame
import gui.shipBrowser
import gui.globalEvents as GE
from gui import characterEditor as CharEditor
class GangView ( ScrolledPanel ):
def __init__( self, parent ):
ScrolledPanel.__init__ ( self, parent, id = wx.... | blitzmann/pyfa-chinese | gui/gangView.py | gangView.py | py | 15,675 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "wx.lib.scrolledpanel.ScrolledPanel",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "wx.lib.scrolledpanel.ScrolledPanel.__init__",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wx.lib.scrolledpanel.ScrolledPanel",
"line_number": 15,
"u... |
6214406067 | from typing import Callable
import pytest
from flexmock import flexmock
from thoth.adviser.context import Context
from thoth.adviser.beam import Beam
from thoth.adviser.enums import RecommendationType
from thoth.adviser.pipeline_builder import PipelineBuilderContext
from thoth.adviser.pipeline_config import PipelineC... | thoth-station/adviser | tests/conftest.py | conftest.py | py | 6,220 | python | en | code | 33 | github-code | 18 | [
{
"api_name": "thoth.adviser.predictor.Predictor",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "thoth.python.Project",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "flexmock.flexmock",
"line_number": 41,
"usage_type": "call"
},
{
"api_name... |
3401844214 | import time
from selenium import webdriver
from tool.loginFile.login import Login
from tool.random.randomMember import RandomMember
from tool.random.randomPhone import RandomPhone
from tool.time.loadingTime import LoadTime
url = Login.location(1)
login_name = Login.name(1)
login_pwd = Login.password(1)
me = RandomMem... | YangZhongHai/wanboyun_0619 | retail/Business/member/test5_member_message.py | test5_member_message.py | py | 4,781 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tool.loginFile.login.Login.location",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tool.loginFile.login.Login",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tool.loginFile.login.Login.name",
"line_number": 10,
"usage_type": "call"
... |
29425730114 | import argparse
#import string
import os.path
import sys
import csv
import collections
import json
# pylint: disable=invalid-name
VERSION= "1.0"
SUMMARY="Convert CSV to JSON and vice versa."
USAGE= "%(prog)s [OPTIONS] COMMAND FILE"
DESC= '''
This program converts CSV to JSON and vice versa.
known COMMANDS:
js... | goetzpf/bii_scripts | bin/csv2json.py | csv2json.py | py | 9,066 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.path.basename",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_... |
36239629165 | import pytest
from datetime import timedelta
from gusty.utils import days_ago
from gusty import create_dag
from gusty.parsing import parse
##############
## FIXTURES ##
##############
@pytest.fixture(scope="session")
def parsing_dag_dir():
return "tests/dags/parsing"
@pytest.fixture(scope="session")
def dag(pa... | pipeline-tools/gusty | tests/test_parsing.py | test_parsing.py | py | 1,929 | python | en | code | 187 | github-code | 18 | [
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gusty.create_dag",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "gusty.utils.days_ago",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.timedel... |
72659275559 |
# coding: utf-8
# In[54]:
import requests
from bs4 import BeautifulSoup
r = requests.get("http://www.oabrj.org.br/")
c = r.content
c
# In[55]:
soup=BeautifulSoup(c,"html.parser")
# In[66]:
all=soup.find_all("div",{"class":""})
# In[67]:
all
# In[69]:
import pandas as pd
df= pd.DataFrame(all)
df.t... | LondonComputadores/Prazo_Project | oabrj_crawl.py | oabrj_crawl.py | py | 914 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
... |
13766309379 | from kivymd.app import MDApp
from kivy.lang import Builder
from kivymd.uix.card import MDCardSwipe
from kivymd.uix.dialog import MDDialog
from kivymd.uix.button import MDRaisedButton
from kivymd.uix.boxlayout import MDBoxLayout
from kivy.core.window import Window
from kivymd.uix.snackbar import Snackbar
from ki... | MrSandipSharma/Task-Manager-App | main.py | main.py | py | 7,276 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "kivymd.uix.card.MDCardSwipe",
"line_number": 118,
"usage_type": "name"
},
{
"api_name": "kivy.properties.StringProperty",
"line_number": 119,
"usage_type": "call"
},
{
"api_name": "kivy.properties.StringProperty",
"line_number": 120,
"usage_type": "call"
... |
43429924015 | from django.shortcuts import render, redirect
from usuarios.models import User
from django.contrib.auth import authenticate, login as logins, logout as logouts
from django.http import HttpResponseRedirect
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from resenna.models i... | Estefania-M/Pagina-Web-Resenas | banos_beauchef/usuarios/views.py | views.py | py | 3,963 | python | es | code | 1 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "usuarios.models.User.objects.filter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "usuarios.models.User.objects",
"line_number": 18,
"usage_type": "attribute"
... |
1546260696 | from model.contact import CONTACT
from selenium.webdriver.support.ui import Select
import re
class CONTACTHelper:
def __init__(self, app):
self.app = app
def open_home_page(self):
wd = self.app.wd
if not (wd.current_url.endswith("/addressbook") and len(
wd.find_eleme... | Nata82/python_training | fixture/contact.py | contact.py | py | 8,729 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "model.contact.CONTACT",
"line_number": 167,
"usage_type": "call"
},
{
"api_name": "model.contact.CONTACT",
"line_number": 205,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 212,
"usage_type": "call"
},
{
"api_name": "re.search",
... |
2284079272 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import time
import skimage
from skimage import io
from skimage import feature
from skimage import morphology
from skimage import measure
import matplotlib as mpl
import matplotlib.pyplot as plt
import scipy.stats as stats
from scipy import ndimage as... | efryer/worm_collector | worms_4AI.py | worms_4AI.py | py | 8,457 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "skimage.io.imread",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "skimage.io.imread",
... |
7864906773 | import itertools
# 재귀를 이용한 순열
def permute(nums):
results = []
prev_elements = []
def dfs(elements):
if len(elements) == 0:
results.append(prev_elements[:])
for e in elements:
next_elements = elements[:]
next_elements.remove(e)
prev_elements... | ohy1023/pythonAlgorithm | book/파이썬 알고리즘 인터뷰/비선형 자료구조/Permutations.py | Permutations.py | py | 625 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "itertools.permutations",
"line_number": 24,
"usage_type": "call"
}
] |
23873922434 | import yaml
trunk_template = [
'switchport trunk encapsulation dot1q', 'switchport mode trunk',
'switchport trunk native vlan 999', 'switchport trunk allowed vlan'
]
access_template = [
'switchport mode access', 'switchport access vlan',
'switchport nonegotiate', 'spanning-tree portfast',
'spannin... | natenka/pyneng-examples-exercises | examples/17_serialization/yaml/yaml_write.py | yaml_write.py | py | 564 | python | en | code | 234 | github-code | 18 | [
{
"api_name": "yaml.dump",
"line_number": 17,
"usage_type": "call"
}
] |
27560481356 | import unittest
from oracle import Oracle
from helper import Helper
import requests
class TestStockPrediction(unittest.TestCase):
def test_stock_initalized(self):
oracle = Oracle("msft", requests.session())
helper = Helper(oracle)
result = helper.prediction(1000)
... | kevb10/delphi-oracle | tests/test_oracle.py | test_oracle.py | py | 738 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "oracle.Oracle",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.session",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "helper.Helper",
... |
36735511833 | import cv2
import os
import numpy as np
filePath = os.path.dirname(__file__)
imagePath = os.path.join(filePath, "../images/smarties.png")
img = cv2.imread(imagePath, -1)
output = img.copy
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
blurred = cv2.medianBlur(gray, 5)
circles = cv2.HoughCircles(blurred, cv2.HOUGH_GRADI... | Arijit02/opencv-start | opencv-start/houghCircle.py | houghCircle.py | py | 670 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6... |
32409012747 | import logging
import configparser
from novaclient import client as novaclient
from neutronclient.v2_0 import client as neutronclient
import utils
from neutronapi import NeutronIF
logging.basicConfig(level=logging.INFO)
class Booter():
"""
Boots the corresponding topology.
"""
def __init__(self, topo... | oaraque/openstack-controller | boot.py | boot.py | py | 12,387 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "utils.p... |
15167538374 | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 21 00:42:37 2021
@author: vonGostev
"""
import numpy as np
import matplotlib.pyplot as plt
area_size = 3.5 * 31.25
npoints = 256
bounds = [-area_size / 2, area_size / 2]
max_si_mode = np.load('mmf_SI_50_properties.npz')['modes_list'][-1]
max_grin_mode = np.load('mmf_GR... | vongostev/RSF-21-12-00155-1-MMF | plot_grin_si_max_mode.py | plot_grin_si_max_mode.py | py | 1,027 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
3466471540 | import sys
import argparse
import os
import logging
import colorlog
from thinkhazard.settings import load_full_settings
from thinkhazard.session import get_engine, get_session_factory
logger = colorlog.getLogger(__name__)
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
formatter = colorlog.ColoredFormatter(... | GFDRR/thinkhazard | thinkhazard/processing/__init__.py | __init__.py | py | 3,391 | python | en | code | 30 | github-code | 18 | [
{
"api_name": "colorlog.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "colorlog.... |
3301902816 | from flask import Blueprint, request, jsonify
from modules.API.chat_methods import db_addChat, db_addMessageForChat, db_addUserInChat, db_getMessagesFromChat
from modules.API.functions import json_validate, initRedis_db
from modules.json_schemas import chat_create_schema
from modules.API.functions import isUserAuthoriz... | tensor-nsk-lesson/messenger_1 | src/modules/Routes/ChatManager.py | ChatManager.py | py | 2,777 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "modules.API.functions.initRedis_db",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_n... |
37316229204 | from motor.motor_asyncio import AsyncIOMotorClient, AsyncIOMotorDatabase # type: ignore
import asyncio
from abc import ABC
from app.service.storage import StorageWrapper
from typing import Dict
from app.cfg import config
class MongoClient:
"""An object for establishing connection with a database on a mongodb-se... | aleksruss-21/Weather | app/storage/mongo_client.py | mongo_client.py | py | 4,236 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "motor.motor_asyncio.AsyncIOMotorClient",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "motor.motor_asyncio.AsyncIOMotorDatabase",
"line_number": 16,
"usage_t... |
2163144940 | #!/usr/bin/env python3
import sys
import random
import networkx as nx
from matplotlib import rcParams
rcParams['font.family'] = 'IPAexGothic'
import matplotlib.pyplot as plt
from geopy.distance import geodesic
try:
filename = sys.argv[1]
except:
raise RuntimeError('usage: {} '.format(sys.argv[0]))
G = nx.read... | y-satotani/dynamic-betweenness | src/data/road/visualize-road-affected-nodes.py | visualize-road-affected-nodes.py | py | 2,063 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "networkx.read_graphml"... |
18719465481 | import string
from pyspark.sql import SparkSession
from pyspark.sql.functions import to_date, col, date_add, expr
spark = SparkSession.builder.master("local").appName("dealingwithdate").getOrCreate()
df = spark.read.csv("dealing*", header=True, inferSchema=True)
df.show()
df.printSchema()
df1 = df.withCo... | muralijak/pysparkChallenges | Spark_Scenarios/DealingwithDate.py | DealingwithDate.py | py | 615 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyspark.sql.SparkSession.builder.master",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 6,
"usage_type": "n... |
25464992950 | import math
import matplotlib.pyplot as plt
import numpy as np
class LeastSquares:
def __init__(self, a, b, n, m, func):
if a >= b:
raise Exception("Invalid a,b values (a is more than b)")
self.n = n
self.m = m
self.__calculate_a(a, b, func)
@staticmethod
def... | ojles/uni | computational-methods/task3.py | task3.py | py | 1,618 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "math.pow",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.solve",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_n... |
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