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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3143871769 | import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
df = pd.read_csv('output_data/result.csv')
price = df.loc[:, "price"]
dist_from_st = df.loc[:, "dist_from_st"]
pop = df.loc[:, "pop"]
fire_station_num = df.loc[:, "fire_station_num"]
crime_num = df.loc[:, "crime_num"]
tabacco_num = df.loc[:, "ta... | dullmode/stat-homework | process1.py | process1.py | py | 944 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
30361383161 | from typing import List, Dict, Any
import json
from affectivecloud.algorithm import BaseServiceType
from affectivecloud.protocols import Services
# 基础计算请求
class BaseServiceRequest(object):
class _request(object):
# 会话服务类型：基础服务
services = Services.Type.BASE_SERVICE
# 初始化基础计算
class Init(... | Entertech/Enter-AffectiveCloud-PC-SDK | affectivecloud/protocols/requests/base_service.py | base_service.py | py | 4,497 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "affectivecloud.protocols.Services.Type",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "affectivecloud.protocols.Services",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 19,
"usage_type": "name"
},
... |
7542043217 | #!/usr/bin/env python3
from jira.client import JIRA
import logging
import re
import sys
import random
import datetime
from termcolor import colored, cprint
import time
import traceback
from functools import lru_cache
import json
import requests
from diskcache import Cache
import urllib3
import codecs
import string
imp... | AKudlaienko/CLI | jira_cli/jira_cli_custom.py | jira_cli_custom.py | py | 66,851 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "diskcache.Cache",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
3380661710 | import os
import datetime
import logging
# Create a custom logger
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
with open(f"{os.getcwd()}/logger_filename_var") as file:
log_filename = file.read()
file_h... | RodriguesJD/jamf_api_client | core/write_jamf_to_json_file/write_to_json_tools.py | write_to_json_tools.py | py | 1,553 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"... |
26040815446 | from __future__ import annotations
import logging
import re
from dataclasses import dataclass
from enum import Enum
from typing import Any, Iterable
from pants.base.exiter import PANTS_FAILED_EXIT_CODE, PANTS_SUCCEEDED_EXIT_CODE
from pants.core.goals.lint import LintFilesRequest, LintResult, Partitions
from pants.eng... | pantsbuild/pants | src/python/pants/backend/project_info/regex_lint.py | regex_lint.py | py | 12,446 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "dataclasses.datacla... |
8463177347 | from whoosh.index import open_dir
from whoosh.qparser import QueryParser
# read in the index we created
ix = open_dir('index')
# collect and parse the query
query = input('Enter query: ')
parser = QueryParser('lyrics', ix.schema)
query = parser.parse(query)
# search the index and return the results
with ix.searcher(... | Garydmg/lyricssearch | main.py | main.py | py | 526 | python | en | code | null | github-code | 6 | [
{
"api_name": "whoosh.index.open_dir",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "whoosh.qparser.QueryParser",
"line_number": 9,
"usage_type": "call"
}
] |
38798121731 | # -*- coding: utf-8 -*-
import urllib
from bs4 import BeautifulSoup
import time
import locale
import json
import pycountry
## Country code ##
countries = {}
for country in pycountry.countries:
countries[country.name] = country.alpha_2
## Setup a set of replacements for unmatched country names ##
REPLACEMENTS =... | minsu-park/CIA_WorldFactbook | parse_CIA_worldfact.py | parse_CIA_worldfact.py | py | 3,628 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pycountry.countries",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "urllib.urlopen",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "locale.setl... |
4376897870 | import re
import os
import sys
from pyquery import PyQuery as pq
from lxml import etree
from dictmaster.util import words_to_db
from dictmaster.replacer import *
from dictmaster.plugin import BasePlugin
from dictmaster.stages.fetcher import Fetcher
from dictmaster.stages.processor import HtmlContainerProcessor
DICTN... | tuxor1337/dictmaster | dictmaster/plugins/dwds-panel.py | dwds-panel.py | py | 6,317 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "dictmaster.plugin.BasePlugin",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "sys.exit",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
2746655652 | import chess
from itertools import chain, combinations
PIECES = (W_PAWN,
W_KNIGHT,
W_BISHOP,
W_ROOK,
W_QUEEN,
W_KING,
B_PAWN,
B_KNIGHT,
B_BISHOP,
B_ROOK,
B_QUEEN,
B_KING) = list(chain(range(1, 7), range(9, 15)... | Sirikorn-praew/module8-9 | consts.py | consts.py | py | 337 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "itertools.chain",
"line_number": 15,
"usage_type": "call"
}
] |
28819709194 | from pymongo import MongoClient
import os
# from crud import Operations
class DatabaseConnection():
def main(self):
client = MongoClient(os.getenv('MONGO_URI'))
print(client)
db = client.omnius
return db
def RawModel(self):
db = DatabaseConnection().main()
curs... | omnius45467/gilgamesh | project/lib/database/databaseconnection.py | databaseconnection.py | py | 422 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
}
] |
73411461628 | from selenium import webdriver
from selenium_stealth import stealth
import time
options = webdriver.ChromeOptions()
options.add_argument("start-maximized")
# options.add_argument("--headless")
#options.add_argument("--disable-blink-features")
options.add_argument("--disable-blink-features=AutomationControlled")
opti... | brunocardone/web_scraping_IDFB | Documents/WebScraping/FacebookScrape/Playground.py | Playground.py | py | 944 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_n... |
17918739855 |
# coding: utf-8
# # Лабораторная №3
# Вначале импортируем нужные вещи:
# In[1]:
from __future__ import print_function
import numpy
numpy.random.seed(1337) # for reproducibility
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional im... | aakogtenkov/Ask-me-if-you-can | labs/Lab3.py | Lab3.py | py | 11,152 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"lin... |
31299472242 | from django.test import TestCase, Client
from django.urls import reverse
import ecomapp.models
from mock import patch
class TestPriceConvertor(TestCase):
def setUp(self):
self.category1 = ecomapp.models.Category.objects.create(
name = 'category1',
slug = 'category-1'
)
self.brand1 = ecomapp.models... | hussienalhaj/alhajjj | djangoshop/ecomapp/tests/test_tdd.py | test_tdd.py | py | 1,803 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "ecomapp.models.models.Category.objects.create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ecomapp.models.models",
"line_number": 9,
"usage_type": "attribute"
},... |
3916792160 | from collections import deque
def bfs(start):
queue = deque([start])
visited[start] = True
cnt = 1
while queue:
start = queue.popleft()
if str(start) in graph:
for i in graph[str(start)]:
if visited[i] == False:
queue.append(i)
... | jun2mun/code_study | 코딩테스트/소프트웨어마에스트로/1325.py | 1325.py | py | 829 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 3,
"usage_type": "call"
}
] |
9898693151 | # --------------------------------
# | Inter-Arrival Times: |
# | - Arrivals waiting for |
# | weight loss consultation | Nurse
# | | GENERATOR ----------------
# | Entities | People a... | nuwagalb/Discrete-Event-Simulation-SimPy | weight_loss_store_results.py | weight_loss_store_results.py | py | 3,633 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.expovariate",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "random.expovariate",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "simpy.Environment",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "simpy.Resourc... |
22682934245 | #! /usr/bin/env python3
import numpy as np
import os
import subprocess
from cyvcf2 import VCF
import vcf
__author__ = 'Josef Moser'
class Assignment2:
def __init__(self):
if not os.path.isfile("AmpliseqExome.20141120.NA24385.vcf"):
subprocess.call(["wget", "ftp://ftp-trace.ncbi.nlm.nih.gov/g... | josmos/medizinische_genomanalysen_2017_assignment_2 | assignment2.py | assignment2.py | py | 2,773 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.isfile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "subprocess.call",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "vcf.Reader",
"line_nu... |
34816956703 | import tkinter as tk # Construct GUI for
from tkinter import filedialog, messagebox
from scipy.misc import imresize # For recieve new photos
from keras.preprocessing.image import load_img, img_to_array # Read pics
from keras.models import load_model
from PIL import Image, ImageTk # Show pics
import os
os.environ['... | Jerrrrykun/cloud_computing_project | FBP_model/FBP_GUI.py | FBP_GUI.py | py | 3,756 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Tk",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Label",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"lin... |
9372531733 | import io
import logging.config
import os
import re
import zipfile
from environs import Env
import pandas as pd
import requests
logger = logging.getLogger(__file__)
def get_product_list(last_id, client_id, seller_token):
"""Получить список товаров магазина озон"""
url = "https://api-seller.ozon.ru/v2/produc... | devmanorg/seller-apis | seller.py | seller.py | py | 6,218 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.config.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.post",... |
2976747492 | from collections import Counter
from torch import Tensor
from typing import Dict
import torch
def pro(gt: Tensor, prediction: Tensor) -> float:
"""
calculate the per-region overlap score between two gray scale images.
'the percentage of correctly predicted pixels is computed for each annotated defect reg... | NilsB98/Diffusion-Based-AD | utils/metrics.py | metrics.py | py | 5,458 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.Tensor",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_... |
30366451121 | from numpy import asarray, empty, isnan
# Enthought library imports.
from traits.api import Enum, Event, Instance, Property, Range, Trait
# Local relative imports
from .abstract_plot_renderer import AbstractPlotRenderer
from .base import reverse_map_1d
from .grid_data_source import GridDataSource
from .grid_mapper im... | enthought/chaco | chaco/base_2d_plot.py | base_2d_plot.py | py | 11,592 | python | en | code | 286 | github-code | 6 | [
{
"api_name": "abstract_plot_renderer.AbstractPlotRenderer",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "traits.api.Instance",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "grid_data_source.GridDataSource",
"line_number": 23,
"usage_type": "argum... |
386807309 | """
Created on Tue Oct 6
This program found the solution of matrix Ax = B by total gaussian method.
Parameters
----------
matrix: AB
Returns
-------
a: matrix from equations
b: constant vector
movement : vector with x's positions
@author: Daniel Felipe Gomez Martinez
"""
import numpy as np
import json
np.set_printop... | jsperezsalazar2001/SADA_ANALYTICS | SADA_ANALYTICS/public/python/total_gaussian_method.py | total_gaussian_method.py | py | 3,790 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"lin... |
71476925629 | import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
from torch.autograd import Variable
from collections import OrderedDict
from generator import Generator
import classify_svhn as data
import matplotlib.pyplot as plt
from torchvision.transforms import ToPILImage
import os
import argpars... | gchafouleas/IFT6135_Assignment3 | qualitative_evaluation.py | qualitative_evaluation.py | py | 2,708 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"l... |
8384333441 | from __future__ import print_function
from __future__ import absolute_import
import os
import sys
from collections import defaultdict
if 'SUMO_HOME' in os.environ:
sys.path.append(os.path.join(os.environ['SUMO_HOME'], 'tools'))
import sumolib # noqa
from sumolib.miscutils import parseTime # noqa
def get_option... | ngctnnnn/DRL_Traffic-Signal-Control | sumo-rl/sumo/tools/output/computePassengerCounts.py | computePassengerCounts.py | py | 4,645 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"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_n... |
71951823547 | import torch
import os
from sklearn.cluster import KMeans,SpectralClustering
from sklearn import cluster
from sklearn import metrics
import numpy as np
from sklearn.neighbors import kneighbors_graph
from sklearn.preprocessing import StandardScaler
import utils.analyse_utils as analyse_utils
import argparse
exp_dir ... | xuqiongkai/FingerprintAttack_on_FL | analyse_cluster.py | analyse_cluster.py | py | 3,654 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
14560212981 | """
Fundir PDF,Alarme, Código fonte de site
"""
# Alarme:
from tkinter import * #Responsavel pela criação da interface, importamos todas funções
import datetime
import time
from playsound import playsound #Responsavel pelo sinal sonoro #pip install playsound
root = Tk() #Definição do objeto da interface
ro... | tiagoc93/Fusao_PDF | fusao_pdf/fundir_pdf_alarme_codigo_site.py | fundir_pdf_alarme_codigo_site.py | py | 3,332 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "playsound.pla... |
1688872290 | # -*- coding: utf-8 -*-
"""
Created on Sat Jun 4 20:35:25 2022
@author: sinha
"""
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 1 23:08:31 2022
@author: sinha
"""
# -*- coding: utf-8 -*-
"""
Created on Sun May 22 16:18:42 2022
@author: sinha
"""
import numpy as np
import matplotlib.pyplot... | MegaCharizardZ/Nanomagnetics | pbit_simulation.py | pbit_simulation.py | py | 5,353 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
... |
25873712765 | import aiohttp
import aiolimiter
import asyncio
import hmac
import hashlib
import urllib.parse
from datetime import timezone
from moonship.core import *
from moonship.client.web import *
from typing import Union
API_BASE_URL = "https://api.binance.com/api/v3"
STREAM_BASE_URL = "wss://stream.binance.com:9443/stream"
... | mpaulse/moonship | moonship/client/binance.py | binance.py | py | 18,311 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "asyncio.Lock",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "aiolimiter.AsyncLimiter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "aiolimiter.AsyncLimiter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "asyncio.... |
34191620429 | #!/usr/bin/env python
###############################################################################
#
# fundec.py <tree> <database_file> <%id cutoff>
# I should probably iclude some reguular expression recognition to make the
# counts of each annotation more robust. I imagine that as is this
# code will only cluster ... | geronimp/HandyScripts | 03_working_with_trees/fundec.py | fundec.py | py | 7,805 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "skbio.tree.TreeNode.read",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "skbio.tree.TreeNode",
"line_number": 85,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "logg... |
13337008000 | import demjson
import os
import unittest
from tests.utils import captured_output
from product_deps_graph import parse_options, Product
TEST_BASE_DIR = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
TEST_DATA_DIR = os.path.join(TEST_BASE_DIR, 'data')
class TestParseOptions(unittest.TestCase):
def t... | weichen2046/android_vendor_hlhtddx | build/tools/tests/unit/test_product_deps_graph.py | test_product_deps_graph.py | py | 2,904 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
4500909446 | from __future__ import annotations
# This file is part of ts_watcher.
#
# Developed for Vera C. Rubin Observatory Telescope and Site Systems.
# This product includes software developed by the LSST Project
# (https://www.lsst.org).
# See the COPYRIGHT file at the top-level directory of this distribution
# for details o... | lsst-ts/ts_watcher | python/lsst/ts/watcher/rules/mt_ccw_following_rotator.py | mt_ccw_following_rotator.py | py | 2,408 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "lsst.ts.watcher.BaseRule",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "lsst.ts.watcher",
"line_number": 35,
"usage_type": "name"
},
{
"api_name"... |
25911916032 | import datetime
from Solution import Solution
class P019(Solution):
def solve(self):
self.problem_number = 19
result = 0
first_day = datetime.date(1901,1,1)
delta = datetime.timedelta(days=5)
first_sunday = first_day + delta
delta = datetime.timedelta(days=7)
... | TalaatHarb/project-euler-100 | python-project-euler-100/p019.py | p019.py | py | 620 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "Solution.Solution",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
... |
41810332581 | from requests import get
class WikiRequest:
def __init__(self,lat,lng):
self.lat = lat
self.lng = lng
def _get_pageid(self):
lat_lng = "|".join([str(self.lat), str(self.lng)])
parameters = {
"action": "query",
"list": "geosearch",
"gscoord":... | KikaDIEN1994/chatbot | papybot/wikirequest.py | wikirequest.py | py | 1,288 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 40,
"usage_type": "call"
}
] |
17242414561 | # Websocket server using tornado
import tornado
import tornado.websocket
from fetch_aver import Hunter
import logging
import json
import time
from simu_overview import data_magic
logging.basicConfig(filename='/home/Chunar/codes/Monitor_pi/motor_factory/overview/overview.log', level=logging.DEBUG)
class Ech... | Chunar5354/Monitor_pi | motor_factory/overview/overview_web_server.py | overview_web_server.py | py | 1,511 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tornado.websocket",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "time.lo... |
36618143046 | import os
import sys
import logging
from . import utils
class Config(object):
def __init__(self, config_dir):
"""
Class Constructor
Initialising a configuration with an empty list of data flows
"""
self.logger = logging.getLogger("Pipelinewise CLI")
self.config_di... | beherap/pipelinewise | pipelinewise/cli/config.py | config.py | py | 14,501 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_nu... |
3203304672 | import requests as r
import json as j
def GetHeroID():
hero_data = r.get('https://api.opendota.com/api/heroes')
hero_id = j.loads(hero_data.text)
return hero_id
hero_dic = {}
heroes = GetHeroID()
for hero in heroes:
hero_dic[hero['id']] = hero['localized_name']
def GetItemID():
item_data = r... | BenjinZA/BearBot | Cogs/Utils/OD/id.py | id.py | py | 999 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 21... |
19024281392 | from typing import Tuple
from typing import Optional
from .utils import NoiseCollection
from .base import Augmentation
from .utils import Noise
import pyroomacoustics as pra
import numpy as np
import threading
import collections
normalize = lambda wav: wav / (np.sqrt(np.mean(wav ** 2)) + 1e-8)
class Reverb(Augmenta... | DanRuta/xva-trainer | lib/_dev/pyannote/audio/augmentation/reverb.py | reverb.py | py | 4,876 | python | en | code | 78 | github-code | 6 | [
{
"api_name": "numpy.sqrt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "base.Augmentation",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_numb... |
4252980223 | from rest_framework import serializers
# from category.models import Category
from .models import *
from category.serializers import CategorySerializer
from django.contrib.auth.models import User
class UserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = (
'u... | PeaceTem/tothex | core/serializers.py | serializers.py | py | 2,243 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": 11,
"usage_type... |
26248085396 | import fixtures
from unittest import mock
from oslo_concurrency import lockutils
from oslo_config import cfg
from oslo_config import fixture as config_fixture
import oslo_messaging
from oslo_messaging import conffixture as messaging_conffixture
from oslo_utils import uuidutils
import oslotest.base as base_test
from de... | sodafoundation/delfin | delfin/test.py | test.py | py | 11,546 | python | en | code | 201 | github-code | 6 | [
{
"api_name": "oslo_config.cfg.StrOpt",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "oslo_config.cfg",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "oslo_config.cfg.CONF",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "oslo... |
43168489415 | import logging
import os
import subprocess
from datetime import datetime
import discord
from discord.ext import commands
from roycemorebot import constants
log = logging.getLogger("roycemorebot.main")
# Change the bot class to log adding/removing cogs:
class CogLoggingBot(commands.Bot):
"""Subclass of `discord... | egelja/roycemorebot | roycemorebot/__main__.py | __main__.py | py | 3,709 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "... |
43273324093 | import torch
import torch.nn as nn
import torch.nn.functional as F
from math import ceil
# from lightconvpoint.spatial import knn, sampling_quantized
from lightconvpoint.utils.functional import batch_gather
import torch
class Convolution_FKAConv(torch.nn.Module):
def __init__(self, in_channels, out_channels, ker... | valeoai/POCO | lightconvpoint/nn/conv_fkaconv.py | conv_fkaconv.py | py | 5,573 | python | en | code | 163 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "math.ceil",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
5231037387 |
import sys
import os
import time
import glob
import subprocess
import re
import tempfile
from functools import reduce
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
BLUE = '\033[94m'
OKGREEN = '\033[92m'
GREEN = '\033[92m'
PURPLE = '\033[0;35m'
LPURPLE = '\033[1;35m'
CYAN = '... | volodymyrss/pilton | pilton.py | pilton.py | py | 14,081 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.findall",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 63,
... |
35951940288 | #!/usr/bin/python
from __future__ import print_function
import logging
import logging.handlers
import re
from path import Path
from cglims.api import ClinicalLims, ClinicalSample
from ..utils.files import make_link
__version__ = '1.20.22'
logger = logging.getLogger(__name__)
class ExternalIDNotFoundException(Exce... | Clinical-Genomics/deliver | deliver/modules/cust.py | cust.py | py | 8,057 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cglims.api.ClinicalSample",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "re.match",
... |
30626797392 | from flask import Flask, request, render_template
from model import Model
app = Flask(__name__)
@app.route("/", methods=['GET', 'POST'])
def stroke_form():
return render_template('stroke.html')
@app.route("/result", methods=['GET', 'POST'])
def result():
if request.method == 'POST':
model = Model(... | ulmasovjafarbek/stroke-prediction-model | app.py | app.py | py | 700 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
73652378109 | # 给你一个用字符数组 tasks 表示的 CPU 需要执行的任务列表。其中每个字母表示一种不同种类的任务。任务可以以任意顺序执行，并且每个任务都可以在 1 个单位时间内执行完。在任何一个单位时间，CPU 可以完成一个任务，或者处于待命状态。
# 然而，两个 相同种类 的任务之间必须有长度为整数 n 的冷却时间，因此至少有连续 n 个单位时间内 CPU 在执行不同的任务，或者在待命状态。
# 你需要计算完成所有任务所需要的 最短时间 。
import collections
class Solution(object):
def leastInterval(self, tasks, n):
"""
... | xxxxlc/leetcode | array/leastInterval.py | leastInterval.py | py | 1,466 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 17,
"usage_type": "call"
}
] |
21396662329 | import json
from typing import Dict, Optional
import yaml
from racetrack_client.client_config.alias import resolve_lifecycle_url
from racetrack_client.client_config.auth import get_user_auth
from racetrack_client.client_config.io import load_client_config
from racetrack_client.log.context_error import wrap_context
fr... | TheRacetrack/racetrack | racetrack_client/racetrack_client/client/call.py | call.py | py | 2,488 | python | en | code | 27 | github-code | 6 | [
{
"api_name": "racetrack_client.log.logs.get_logger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "racetrack_client.log.logs.configure_logs",
"line_number": 26,
"usage_type": "call"
... |
7988973268 | from display import Display, TextRow
from display_text_manager import DisplayTextManager
from progress_bar_manager import ProgressBarManager
from spotify_manager import SpotifyManager, TrackData
import schedule
import time
import logging
DISPLAY_WIDTH = 126
DISPLAY_HEIGHT = 64
DISPLAY_ADDRESS = 0x3C
displ... | SteelPh0enix/SpotifyOLED | app.py | app.py | py | 2,899 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "display.Display",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "display_text_manager.DisplayTextManager",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "progress_bar_manager.ProgressBarManager",
"line_number": 15,
"usage_type": "call"... |
71080527547 | from django.forms import Form, fields, widgets
from django.core.exceptions import ValidationError
import re
from decimal import *
from datetime import date
class ChargeForm(Form):
amount = fields.DecimalField(
label='Сумма:',
required=True,
max_digits=7,
decimal_places=2,
w... | maks-sh/technoatom-py | hw_3/finance/forms.py | forms.py | py | 3,561 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.forms.Form",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.fields.DecimalField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.forms.fields",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "d... |
19432817071 | '''
Created on 2014. 6. 9.
This module extract features followings
N-gram(Unigram, Bigram, Trigram) : extractNgrams()
, store to a file and load from it : saveFeatureMap(), loadFeatureMap()
, make the features as context which is a list of existence of a feature : toContext()
@author: yeonchan
'''
im... | acha21/LSTD | FeatureExtractor.py | FeatureExtractor.py | py | 5,424 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "maxent.MaxentModel",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "co... |
73511779068 | import xml.etree.ElementTree as ET
def parseXMLFile(filename):
try:
tree = ET.parse(filename)
return tree.getroot()
except FileNotFoundError:
print("Input filename does not exist: " + filename)
sys.exit(2)
def getSVGHeight(elem):
maxHeight = int(elem.find("coordenadas").g... | fonsecadh/sew-lab | XML/Ejercicio-2/Tarea-4/rutasToSvg.py | rutasToSvg.py | py | 3,169 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.SubElement",
"line_number": 45,
"usage_type": "call"
},
{
"... |
31653382206 | __author__ = 'Dani'
from .utils import initialize_country_dict, look_for_country_name_exception, \
build_label_for_observation, _is_empty_value, build_observation_uri, \
normalize_code_for_uri, initialize_indicator_dict,\
KEY_INDICATOR_NAME, KEY_INDICATOR_PROV_URL, KEY_INDICATOR_PROV_NAME, \
KEY_INDIC... | weso/wixFetcher | app/parsers/primaryobservationsparser.py | primaryobservationsparser.py | py | 13,146 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.initialize_country_dict",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "utils.initialize_indicator_dict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "utils.build_observation_uri",
"line_number": 67,
"usage_type": "call"
},
... |
74905912828 | import logging
import os
import transformer
import statement
import sys
mydir = (os.getcwd()).replace('\\','/') + '/files'
logger=logging.getLogger()
logger.setLevel(logging.DEBUG)
file_handler = logging.FileHandler('logs.log')
formatter = logging.Formatter('%(message)s')
file_handler.setFormatter(formatter)
logger.... | Tavet/Bancolombia-stats | main.py | main.py | py | 2,287 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
... |
23019743765 | import argparse
import random
import copy
import time
import math
import numpy as np
from pettingzoo.classic import connect_four_v3
def get_legal_actions(env):
observation, reward, termination, truncation, info = env.last()
action_mask = observation["action_mask"]
return np.nonzero(action_mask)[0]
def s... | jfrancis71/PyGenBrix | misc/connect4.py | connect4.py | py | 11,094 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.nonzero",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_numbe... |
11917226110 | # Map.py
#
# Map class fields:
# - driver: webdriver opens Chrome window
# - dirpath: string path of directory containing index.html file
# - center: (lat,lon) coordinate at which map is centered
# - last_pt: (lat,lon) coordinate... | vwlin/FleetTracker | UI/Map.py | Map.py | py | 4,154 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path"... |
651492617 |
# Multicut Pipeline implemented with luigi
# Blockwise solver tasks
import luigi
from .pipelineParameter import PipelineParameter
from .dataTasks import ExternalSegmentation, StackedRegionAdjacencyGraph
from .customTargets import HDF5DataTarget, FolderTarget
from .defectHandlingTasks import DefectsToNodes
from .blo... | constantinpape/mc_luigi | mc_luigi/blockwiseBaselineTasks.py | blockwiseBaselineTasks.py | py | 35,149 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "tools.config_logger",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "blockwiseMulticutTasks.BlockwiseSolver",
"line_number": 51,
"usage_type": "name"
},
{
"api_... |
615799007 | from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from datetime import date
from dataEnum import *
import style
class DisplayTaskWindow(QWidget):
task_updated = pyqtSignal()
entries_updated = pyqtSignal()
def __init__(self, connection, cursor, task_id, user_id):
s... | KasiaCzy/pyqt5_office_management | displayTask.py | displayTask.py | py | 7,557 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "style.btn_style",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "style.delete_btn_style",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "style.btn_style",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "style.window_t... |
24638981199 | import time
from django.conf import settings
from rest_framework.permissions import IsAuthenticatedOrReadOnly
from rest_framework.views import APIView
from django.db import transaction
from django.core.exceptions import ObjectDoesNotExist
from rest_framework.status import HTTP_204_NO_CONTENT, HTTP_400_BAD_REQUEST
from ... | kaineus2999/ems-backend | moving_companies/views.py | views.py | py | 2,372 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticatedOrReadOnly",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "models.Moving_company.objects.all",
"line_number": 21,
... |
531690711 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
""" headervuln.py
Like 'gethead.py', checks for vulnerable header settings on servers.
Inspiration: https://github.com/httphacker
-Christopher Welborn 12-31-2015
"""
import os
import sys
from urllib import request
from colr import auto_disable as colr_auto_d... | welbornprod/headervuln | headervuln.py | headervuln.py | py | 6,177 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "colr.auto_disable",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"l... |
38870574082 | import os
from collections import OrderedDict
import subprocess
from pymake import ExpeFormat
from pymake import get_pymake_settings
USAGE = """\
----------------
Manage the data : This script is part of the repo/ml of pymake.
----------------
"""
class Data(ExpeFormat):
_default_expe = { '_expe_silent' : T... | dtrckd/ml | script/data.py | data.py | py | 5,739 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymake.ExpeFormat",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "col... |
17493563724 | #this function gets the static deflection of the Car struct
#Inputs are the model and Car struct
#outputs are the static deflection matrix
import numpy as np
import numpy.linalg
import itertools
from itertools import combinations
import get_SM
def get_SD(model, Car):
if(not isinstance(Car,dict)):
... | brandontran14/CarSimulation | get_SD.py | get_SD.py | py | 2,618 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "get_SM.get_SM",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.lstsq",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line... |
6018077586 | def getGraph(path, imgPath):
from selenium import webdriver
from selenium.webdriver.common.by import By
from PIL import Image
driver = webdriver.Chrome(
executable_path=r"H:\Snippets\Program-Learning\Python\chromedriver.exe")
driver.get(path)
element = driver.find_element(by... | Yuelioi/Program-Learning | Python/Snippets/爬虫/html屏幕元素截图.py | html屏幕元素截图.py | py | 1,570 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.CLASS_NAME",
"line_number": 11,
"usage_type": "attribute"
},... |
33787977790 | from google.cloud import speech_v1
def sample_recognize(storage_uri, model):
"""
Transcribe a short audio file from Cloud Storage using a specified
transcription model
Args:
storage_uri URI for audio file in Cloud Storage, e.g. gs://[BUCKET]/[FILE]
model The transcription model to use, e.... | silverdev/google-cloud-python | speech/samples/v1/speech_transcribe_model_selection_gcs.py | speech_transcribe_model_selection_gcs.py | py | 1,480 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "google.cloud.speech_v1.SpeechClient",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "google.cloud.speech_v1",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 39,
"usage_type": "call"
}
] |
20317318586 | import argparse
import os
import random
import cv2
import numpy as np
import tensorflow as tf
from imutils import paths
from sklearn.preprocessing import LabelBinarizer
from tensorflow.python.keras.models import load_model
from tensorflow.python.keras.preprocessing.image import img_to_array
data_path = 'testdata'
ima... | marinasuban/Comp309 | Capstone/test copy.py | test copy.py | py | 1,940 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.random.set_seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "n... |
3486411037 |
###########################################################################
# Main Testing
###########################################################################
# Origin: Urs Utzinger
#
import cv2
import time
import logging
import time
import numpy as np
from blazepalm import Palm
from blazehandpose ... | uutzinger/NCNN_python | test_blazehandpose.py | test_blazehandpose.py | py | 7,809 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "cv2.namedWindow",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "cv2.WINDOW_AUTOSIZE",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name":... |
2966202584 | # coding=utf-8
"""
The Email Activity Report API endpoint
Documentation: http://developer.mailchimp.com/documentation/mailchimp/reference/reports/email-activity/
Schema: https://api.mailchimp.com/schema/3.0/Reports/EmailActivity/Instance.json
"""
from __future__ import unicode_literals
from mailchimp3.baseapi import ... | VingtCinq/python-mailchimp | mailchimp3/entities/reportemailactivity.py | reportemailactivity.py | py | 2,559 | python | en | code | 464 | github-code | 6 | [
{
"api_name": "mailchimp3.baseapi.BaseApi",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "mailchimp3.helpers.check_subscriber_hash",
"line_number": 64,
"usage_type": "call"
}
] |
9835262839 | from django.contrib.auth import get_user_model
from django.db import models
# Create your models here.
from group.models import UserGroup
User = get_user_model()
class Place(models.Model):
name = models.CharField(max_length=100)
address = models.CharField(max_length=255)
def __str__(self):
try:... | wesky93/graphene-django-example | src/event/models.py | models.py | py | 1,833 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"ap... |
29786051405 | #!/usr/bin/env python
# coding=utf-8
from __future__ import division, unicode_literals
import argparse
import logging
import phodopus
import squirrel
import sys
if sys.version_info.major == 2:
from pathlib2 import Path
else:
from pathlib import Path
if __name__ == '__main__':
logging.basicConfig(
... | tianws/script | toVOC/evaluation/evalute.py | evalute.py | py | 1,534 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "argparse.... |
14042048930 | from django.shortcuts import render
from board.forms import BulletinPostForm
from django.http import HttpResponseRedirect
from board.forms import UserForm
from board.forms import UserProfileForm
from django.http import HttpResponseRedirect,HttpResponse
# Create your views here.
def index(request):
cont = {}
... | PolyCole/mwf-django | mwf_django/frontend/views.py | views.py | py | 1,740 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "board.forms.BulletinPostForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "board.forms.BulletinPostForm",
"line_number": 24,
"usage_type": "call"
},
{
... |
70732575547 | import pytest
import numpy as np
from juldate import (
datetime_to_jd,
jd_to_datetime,
jd_to_datetime64,
jd_to_datetime_v,
jd_to_datetime64_v,
)
from conftest import (
list_datetime,
list_datetime64,
list_jd,
list_mjd,
)
@pytest.mark.parametrize(
'dt, jd',
[(dt, jd) for dt,... | churilov-ns/juldate | tests/api/test_jd_to_datetime.py | test_jd_to_datetime.py | py | 1,533 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "juldate.jd_to_datetime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "conft... |
34620419810 | """add timestamp to posts
Revision ID: a1b11d495752
Revises: 60091a21a7c3
Create Date: 2021-12-29 20:09:38.288250
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'a1b11d495752'
down_revision = '60091a21a7c3'
branch_labels = None
depends_on = None
def upgrade(... | kritonpc/FlaskBlog | migrations/versions/a1b11d495752_add_timestamp_to_posts.py | a1b11d495752_add_timestamp_to_posts.py | py | 951 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
21884542177 | """Plot corner plots showing best fit for rates.
Linked with the ideas in cube.py -> generating a range of parameters.
TODO: In progress
"""
import numpy as np
import os
from glob import glob
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
from frbpoppy import paths, unpickle, poisson_interval
... | TRASAL/frbpoppy | tests/rates/corner.py | corner.py | py | 3,297 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
29420214101 | import pdb
import os
import cv2
import torch
import pandas as pd
import numpy as np
from tqdm import tqdm
import torch.backends.cudnn as cudnn
from torch.utils.data import DataLoader, Dataset
from albumentations import (Normalize, Compose)
from albumentations.torch import ToTensor
import torch.utils.data as data
from m... | Bryce1010/DeepLearning-Project | Segmentation/Severstal: Steel Defect Detection/codes/EXP1_baseline_Unet/test.py | test.py | py | 3,638 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "numpy.concatenate",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "albumentations... |
13355625489 | from collections.abc import Iterable
from functools import reduce
import os
# 输入和输出
# 输出
print("需要输出的数据")
# 输入(input)
# input输出的值是字符串,如需要整数则需int()函数i = int(i)
i = input("请输入:")
print(i)
# =
# =号是赋值，左边给右边赋值
# 数据类型和变量
# 变量
# a就是变量名,变量可以是任意数据类型
# 变量在程序中用变量名表示，必须是大小写英文，数字和_组合，不能以数字开头,例如
a = 1
# 常量(就是不能变得变量,用全部大写字母表示)
FI... | 1065672881/Demo | python/Python基础/python.py | python.py | py | 10,122 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 258,
"usage_type": "call"
},
{
"api_name": "collections.abc.Iterable",
"line_number": 328,
"usage_type": "argument"
},
{
"api_name": "collections.abc.Iterable",
"line_number": 329,
"usage_type": "argument"
},
{
"api_name"... |
3718805470 | import argparse, json
from concurrent.futures.process import ProcessPoolExecutor
import numpy as np
from src.scripts.experiments.experiment import run
# Utility function for progress bar. https://github.com/tqdm/tqdm
# If the software is running on very low memory requirements, it may be removed as unnecessary.
fro... | kstavratis/Bachelor-s-Thesis-Adaptive-Clan-Particle-Swarm-Optimzation-with-Enhanced-Information-Sharing | main.py | main.py | py | 2,400 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.random.default_rng",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.rand... |
43972129556 | from cpt import OrfFinder
from Bio.Data import CodonTable
from Bio import SeqIO
from Bio import Seq
data = "debug/cody-genome.fa"
#isps = OrfFinder(args.table, args.ftype, args.ends, args.isp_min_len, args.strand)
aadebug = open("aa-debug.fa","w")
ntdebug = open("nt-debug.fa","w")
bedbug = open("debug.bed","w")
gffbu... | TAMU-CPT/galaxy-tools | tools/spanin/debug.py | debug.py | py | 718 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "cpt.OrfFinder",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "Bio.Data.CodonTable.unambiguous_dna_by_id",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "Bio.Data.CodonTable",
"line_number": 15,
"usage_type": "name"
}
] |
1771987908 | # SPDX-License-Identifier: AGPL-3.0-or-later
'''
Frea Search is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Frea Search is distribu... | regularenthropy/server | modules/job_manager.py | job_manager.py | py | 6,911 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "msg.dbg",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number... |
4429850406 | from app import app, db
from app.forms import LoginForm, RegistrationForm, EditProfileForm
from flask import render_template, flash, redirect, url_for, request
from flask_login import current_user, login_user, logout_user, login_required
from werkzeug.urls import url_parse
from datetime import datetime
from app.models ... | PengDongCd/Flask_learn | app/route.py | route.py | py | 4,040 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.render_template",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "app.app.route",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "app.app.route",
"line... |
33973566337 | """
Binary tree with decision tree semantics and ASCII visualization.
"""
import copy
import dot2tex as d2t
from experiments.models import MetricType
from pathlib import Path
import pydot
import subprocess
from typing import Dict, Any
from utils.random import COLOR_LIST
class Node:
"""A decision tree node.""... | user-anonymous-researcher/interpretable-dts | tree/tree.py | tree.py | py | 15,067 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pydot.Dot",
"line_number": 166,
"usage_type": "call"
},
{
"api_name": "pydot.Node",
"line_number": 187,
"usage_type": "call"
},
{
"api_name": "pydot.Dot",
"line_number": 190,
"usage_type": "attribute"
},
{
"api_name": "pydot.Edge",
"line_number"... |
33729486498 | from typing import List
from unittest import TestCase
from io_scene_vrm.importer import py_model
class TestImporter(TestCase):
def test_validate_license_url(self) -> None:
for url, confirmation_required in [
("", False),
("test", True),
("https://example.com", True),
... | intp1/VRM_Addon_for_Blender | tests/test_importer.py | test_importer.py | py | 1,777 | python | en | code | null | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "io_scene_vrm.importer.py_model.LicenseConfirmationRequiredProp",
"line_number": 34,
"usage_type": "attribute... |
18711641450 | """Functions to get the correlation coefficients from lst files"""
import logging
import re
from pathlib import Path
def get_cc(filename):
"""Extract the cc from the file and return as a float"""
logging.debug(f"Trying to extract CC from {filename}")
try:
filepath = Path(filename)
assert ... | mevol/python_topaz3 | topaz3/get_cc.py | get_cc.py | py | 990 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.debug",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_numbe... |
30112429038 | # -*- coding: utf-8 -*-
"""
Created on Fri May 3 11:36:04 2019
@author: mjrubino
"""
# Import modules
import pandas as pd
from pygbif import occurrences as occ
from pygbif import species
import os
# Local variables
workDir = 'C:/Data/USGS Analyses/GAP-Habitat-Map-Assessment/'
tempDir = workDir + 'temp/'
os.chdir(w... | mjrubino/GAP-Habitat-Map-Assessment | Scripts/GetGBIFRecordCounts.py | GetGBIFRecordCounts.py | py | 1,352 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.chdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "config.sciNames1719",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygbif.species.nam... |
25087291266 | from __future__ import print_function
def update_route_53(event, context):
import boto3
from botocore.exceptions import ClientError
details = event['domain'].split(".")
##getelb name
client = boto3.client('elbv2')
details = event['domain'].split(".")
key = 'LoadBalancers'
try:
... | vchokshi/crispy-computing-machine | roots/aws/master/us-west-2/lambda/_discovered_functions/update_route_53.py | update_route_53.py | py | 1,895 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions.ClientError",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "boto3.client",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "botocore.ex... |
22700217544 | import matplotlib.pyplot as plt
import json
import os
import numpy as np
from PIL import Image
import pyrealsense2 as rs
from matplotlib.patches import FancyArrowPatch
from mpl_toolkits.mplot3d import proj3d
import open3d as o3d
import pc_reconstruction.open3d_utils as utils
import copy
def load_robot_path_pos(robot... | KochPJ/AutoPoseEstimation | pc_reconstruction/create_pointcloud.py | create_pointcloud.py | py | 19,408 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"l... |
42342371473 | from importlib import import_module
import inspect
def introspect_constructor(module_name):
module, funct = split_module_class(module_name)
try:
spec = inspect.getargspec(
getattr(import_module(module), funct).__init__)
except Exception as e:
spec = inspect.getargspec(getattr(... | jenslaufer/rl-trader | src/di/introspect.py | introspect.py | py | 911 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "inspect.getargspec",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "inspect.getargspec",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "importli... |
5845145557 | import requests
from stellar_sdk.asset import Asset
from stellar_sdk.keypair import Keypair
from stellar_sdk.network import Network
from stellar_sdk.operation.manage_sell_offer import ManageSellOffer
from stellar_sdk.server import Server
from stellar_sdk.transaction_builder import TransactionBuilder
import json
# Pr... | younes3334/Stellar_trading_bot | stellar_bot_v1.py | stellar_bot_v1.py | py | 2,551 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "stellar_sdk.server.Server",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "stellar_sdk.network.Network.TESTNET_NETWORK_PASSPHRASE",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "stellar_sdk.network.Network",
"line_number": 18,
"u... |
72851769147 | import cv2
import numpy as np
def empty(a): # this is just an empty function, that does nothing, but is to be put inside the cv2.createTrackbar() function
pass
path = 'Resources/test1.png'
cv2.namedWindow("Track Bars") # naming the window
cv2.resizeWindow("Track Bars", 640, 240) # setting the size of the window
... | kartikeya47/OpenCV-Dump | chapter7.py | chapter7.py | py | 2,084 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.namedWindow",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.resizeWindow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.createTrackbar",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.createTrackbar... |
21736032732 | from django.contrib import admin
from django.urls import path, re_path, include
from django.conf import settings
from django.conf.urls.static import static, serve
from django.views.generic import TemplateView
from rest_framework.schemas import get_schema_view
patterns = [
path('admin/', admin.site.urls),
path... | pawanganesh/journey_journal | journey_journal/urls.py | urls.py | py | 1,396 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "... |
30929914725 | import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, LlamaTokenizer, LlamaForCausalLM
from peft import PeftModel
import os
import sys
import warnings
def load_model(model_path: str, lora_path:str = None, device = "cpu"):
assert model_path is not None
load_type = torch.float16
tokenizer_mod... | inforix/lll | utils/model.py | model.py | py | 5,957 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.float16",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 15,
"usage_type": "name"
},
... |
26038335266 | from __future__ import annotations
import re
from dataclasses import asdict
from typing import Iterable, Iterator, List, Optional
import strawberry
from pants_explorer.server.graphql.context import GraphQLContext
from pants_explorer.server.graphql.field_types import JSONScalar
from strawberry.types import Info
from ... | pantsbuild/pants | pants-plugins/pants_explorer/server/graphql/query/targets.py | targets.py | py | 6,692 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.base.specs_parser.SpecsParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "strawberry.field",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "strawberry.field",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": ... |
72120292669 | from fastapi import APIRouter, Depends
from sqlalchemy import select, insert
from sqlalchemy.ext.asyncio import AsyncSession
from database import get_async_session
from store.models import Category, Product
from store.schemas import CategorySchema
router = APIRouter(
tags=['Category']
)
@router.post('/category/... | ananos548/fastapi_store | src/store/router_category.py | router_category.py | py | 804 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "store.schemas.CategorySchema",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.ext.asyncio.AsyncSession",
"line_number": 15,
"usage_type": "name"
},
{
... |
42494127816 | import numpy as np
import cv2
from tensorflow import keras
import tensorflow as tf
physical_devices = tf.config.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(physical_devices[0], True)
model=keras.models.load_model("Model/best.hdf5")
face_cascade=cv2.CascadeClassifier("Cascades/haarc... | sairushan/Face_Mask_Detector | mask_detect.py | mask_detect.py | py | 1,041 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.config.list_physical_devices",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.experimental.set_memory_growth",
"line_number": 6,
"usage_... |
25262544715 | #!/usr/bin/python
"""Command-line tool for enabling and disabling sections of cron jobs."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import collections
import os
import re
import sys
import six
class Commenter(object):
"""Utility... | google/upvote_py2 | manage_crons.py | manage_crons.py | py | 6,025 | python | en | code | 449 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 114,
"usage_type": "call"
},
{
"api_name": "six.iteri... |
69894879549 | from collections import namedtuple
from itertools import combinations
from math import sqrt
Point = namedtuple('Point', 'x y')
def distance_squared(first_point, second_point):
return (first_point.x - second_point.x) ** 2 + (first_point.y - second_point.y) ** 2
def min_squared_divide_and_conquer(points):
d... | gregh13/Algorithmic-Toolkit | Week_4_divide_and_conquer/closest.py | closest.py | py | 2,753 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 84,
"usage_type": "call"
}
] |
9693626340 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Functions used to create figures of the paper
"""
__author__ = "Christina Ludwig, GIScience Research Group, Heidelberg University"
__email__ = "christina.ludwig@uni-heidelberg.de"
import matplotlib.pyplot as plt
import seaborn as sns
import os
import nb_utils as nbu
... | redfrexx/osm_association_rules | src/nb_utils/figures.py | figures.py | py | 5,664 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "seaborn.boxplot",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "seaborn.... |
23800731471 | #/bin/python3
from argparse import *
from termcolor import colored
def arguments():
parser=ArgumentParser(colored('Usage of the Program ','green')+(colored(' pyhton3 wat.py -u <url> \n','red')))
parser.add_argument('-u',dest='url',help='URL of the target')
return parser.parse_args()
arg=arguments()
print(arg.url)... | prajwalcbk/tools | wat/wat.py | wat.py | py | 321 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "termcolor.colored",
"line_number": 8,
"usage_type": "call"
}
] |
74186559869 | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from .views import JuiceView, BrandView
app_name = 'warehouse'
router = DefaultRouter()
router.register('juice', JuiceView)
router.register('brand', BrandView)
urlpatterns = [
path('', include(router.urls)),
]
| rezarezaeedev/juiceshop | Warehouse/urls.py | urls.py | py | 302 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.JuiceView",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "views.BrandView",
"line_number": 10,
"usage_type": "argument"
},
{
"api_na... |
22905230404 | #!/usr/bin/python3
# run server (dont forget to set the pins 3 and 2 to GPIO mode and enable PWM)
import logging
import signal
import time
from argparse import ArgumentParser
from typing import NamedTuple, Optional
from configparser import ConfigParser, NoOptionError
from contextlib import ExitStack
from enum import E... | Deric-W/Supratix_experiment | ramp_experiment/__main__.py | __main__.py | py | 12,899 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.NamedTuple",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "time.monotonic",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "time.monotonic",
"line... |
2914444286 | from sklearn.metrics import accuracy_score, confusion_matrix
from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from sklearn.metrics import accuracy_score, confusion_matr... | anon3y/emo_app | model_u.py | model_u.py | py | 2,239 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 25,
"us... |
30950885897 | def p_id(fp,rho,d):
return rho*(1+fp**2/(d*(d-1)*3))
def swim_add(fp,rho,d):
return rho*fp**2/(d*(d-1)*3)
if __name__=="__main__":
import numpy as np
import matplotlib.pyplot as plt
import os
import sys
sys.path.append('../../analysis_scripts')
from dumpfile import DumpFile
fro... | samueljmcameron/ABPs_coarse_graining | experiments/2020_04_09/compare_winkler_naive/pressure_vs_rho.py | pressure_vs_rho.py | py | 2,709 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
41039453827 | import cv2
import numpy as np
import random
net = cv2.dnn.readNet("processing/yolov3_training.weights", "processing/yolov3_testing.cfg")
classes = ["Tank"]
layer_names = net.getLayerNames()
output_layers = [layer_names[i - 1] for i in net.getUnconnectedOutLayers()]
colors = np.random.uniform(0, 255, size=(len(classes... | pashakres/tank_detection | processing/object_detection.py | object_detection.py | py | 1,773 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.dnn.readNet",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.uniform",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"l... |
29402035006 | #! -*- coding: utf-8 -*-
import numpy as np
import tensorflow as tf
from tensorflow.keras.layers import Layer
from tensorflow.keras.models import Model
from tensorflow.keras.layers import *
from tensorflow.keras import backend as K
import os
import cv2
os.environ['CUDA_VISIBLE_DEVICES']=''
class ReflectionPadding2D(L... | xuyanging/vae | soiling_pattern_genration.py | soiling_pattern_genration.py | py | 4,303 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.layers.Layer",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tensorflow.pad",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorfl... |
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