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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
28965526131 | from flask import jsonify, make_response, request
from flask_jwt_extended import jwt_required
from flask_restx import Namespace, Resource
from main.modules.projects.controller import ProjectsController
from main.modules.projects.schema_validator import AddProjectSchema, UpdateProjectSchema,AddUserAccessSchema, RemoveU... | anirudh9260/file_sharing_project | main/modules/projects/view.py | view.py | py | 4,483 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_restx.Resource",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask_jwt_extended.jwt_required",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "main.modules.auth.controller.AuthUserController.get_current_auth_user",
"line_number": 1... |
30489526760 | import numpy as np
import os
import sys
import glob
cur_dir = os.path.abspath(os.path.dirname(__file__))
sys.path.append(os.path.abspath("."))
from static import variable
from static import graph_var
from domain.loader.result_obj import ResultObject
def load_result_obj(_pose, _recover, _quality):
result_obj = []... | Fusroda-h/ppl | utils/pose/load_result_text.py | load_result_text.py | py | 3,599 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
33355320944 | """ Entry point for run server application """
import os
from flask import Flask
from flask_migrate import Migrate
def create_app(test_config=None):
# Initialize and setup Flask app
app = Flask(__name__, instance_relative_config=True)
db_uri = os.getenv("DATABASE_URI", os.path.join(app.instance_path, "app... | jcardenasc93/urbanpilot | app/__init__.py | __init__.py | py | 1,808 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
... |
29093042844 | import os
import sys
# sys.path.extend([os.getcwd()])
# print(sys.path)
import argparse
import logging
import torch
import yaml
from datasets.loader import build_data
from tune_train import run_batch
from bleu_from_csv import read_pred_refs,calculate_bleu
global min_freq,batch_size,hidden_size,embedding_dim
logging.bas... | rd20karim/M2T-Segmentation | src/evaluate_m2L.py | evaluate_m2L.py | py | 9,471 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.Str... |
25549056551 | import datetime
import time
import requests
now = datetime.datetime.now()
print(now.year)
name = ("hari").title()
inpt = {"name": name}
response = requests.get(url='https://api.agify.io?', params=inpt)
response2 = requests.get(url="https://api.genderize.io/?", params=inpt)
age_data = response.json()["age"]
gender_... | harisuryaa/Python-Projects | flask url/test.py | test.py | py | 384 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get"... |
35266442209 | import os
from keras.callbacks import Callback
from average_list import EverageList
from matplotlib import pyplot as plt
import pickle
class CustomCallback(Callback):
def __init__(self, chackpoint=False, file_name="chackpoint"):
self.chackpoint = chackpoint
self.file_name = file_name + ".pkl"
... | ondra117/lil_neuron | call_back.py | call_back.py | py | 1,337 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "keras.callbacks.Callback",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pickle.loads",
... |
73591354749 | # Filename : house_views.py
# Date : 2018/10/13
import os
from flask import Blueprint, render_template, request, jsonify
from flask_login import login_required, current_user
import status_code
from house.models import User, Area, Facility, House, HouseImage, Order
from house.user_views import login_manager
from uti... | gilgameshzzz/learn | flask5/house/house_views.py | house_views.py | py | 6,241 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "house.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "house.models.User.query.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "house.models... |
37419488662 | import tkinter as tk
from tkinter import filedialog
import PyPDF2
import os
def select_folder():
folder_path = filedialog.askdirectory()
folder_entry.delete(0, tk.END)
folder_entry.insert(0, folder_path)
def process_files():
folder_path = folder_entry.get()
keywords = keyword_entry.get().split('... | MasudCodes/Include-PDF | pdf_filter.py | pdf_filter.py | py | 3,115 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.filedialog.askdirectory",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tkinter.END",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.p... |
5588640606 | from flask import Flask, jsonify, request, abort, json
from flask_cors import CORS
from werkzeug.exceptions import HTTPException
import mysql.connector
from datetime import datetime
from time import sleep
# from python_arptable import get_arp_table
api = Flask(__name__)
cors = CORS(api, resources={r"*": {"origins":... | brimell/temp-monitor-dash | Server/api_server.py | api_server.py | py | 5,097 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "mysql.c... |
40726773721 | # b_lens = 2
# w = 10
# truck_weights = [7, 4, 5, 6]
# lens = len(truck_weights)
# truck_weights.reverse() # 대기중인 트럭
# t_aft = [] # 다리를 통과한 트럭
# cur_brg = [0] # 현재 다리에 올라간 트럭
# time = 0 # 현재 시간
# temp = [] # n번 트럭이 들어간 시간
#
# while len(t_aft) < lens:
# try:
# if sum(cur_brg) + truck_weights[-1] <= 10:
... | John3210of/AnyPrac | 9rogramers/bridge_pass.py | bridge_pass.py | py | 2,270 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 44,
"usage_type": "call"
}
] |
39585629995 | import psutil
import json
#coding:UTF-8
import requests
def get_key():
key_info = psutil.net_io_counters(pernic=True).keys()
recv = {}
sent = {}
for key in key_info:
recv.setdefault(key, psutil.net_io_counters(pernic=True).get(key).bytes_recv)
sent.setdefault(key, psutil.net_io_count... | limingzhizhong2018/jiankong1 | net.py | net.py | py | 1,042 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "psutil.net_io_counters",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "psutil.net_io_counters",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "psutil.net_io_counters",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "t... |
30293232009 | from splinter import Browser
import pandas as pd
import time
import shutil
class NIPExtractor():
def __init__(self):
self._browser = Browser('chrome')
# self._browser = Browser('chrome', headless=True)
self.scraped_data = []
url = 'https://ppuslugi.mf.gov.pl/'
self._brows... | drazka/askMF_project | askMF2.py | askMF2.py | py | 3,154 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "splinter.Browser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number"... |
9435561185 | from os.path import join
from os import listdir
import pandas as pd
from rdflib import Literal
from rdflib.namespace import RDF, SKOS
from utils.mappings import *
from utils.namespaces import *
from utils.data_structure import MyNode, MyLiteral
from random import seed, randint
from validate_values import validate
impo... | fusion-jena/Meta2KG | kg_population/populate.py | populate.py | py | 7,638 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rdflib.namespace.RDF.type",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "rdflib.namespace.RDF",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "rdfli... |
8469541835 | ## __main__.py - Tommy Dougiamas
"""
This file interprets all command line arguments.
It passes off the actual processing to other functions.
"""
# Stdlib imports
import sys
import os
from pathlib import Path # Used to fix incompatibilities between windows and unix-based file paths ("/" vs "\\")
# Relative imports
f... | exciteabletom/mazegenerator | mazegenerator/__main__.py | __main__.py | py | 5,120 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.stderr",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number"... |
32898217246 | """
Simple wrapper to access Microsoft Business Central data through its Web Services
author: Francesco Baldisserri
email: fbaldisserri@gmail.com
version: 0.8
"""
import numpy as np
import pandas as pd
import requests
from requests.auth import HTTPBasicAuth
ODATA_HEADER = {
"OData-Version": "4.0",
"Accept": ... | sirbradflies/Microsoft-Business-Central-Wrapper | bcwrapper.py | bcwrapper.py | py | 6,523 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.auth.HTTPBasicAuth",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_records",
"line_number": 58,
"usage_type": "call"
},
{
"api_name":... |
12829865059 | from rest_framework.test import APITestCase
class TestStudentInfo(APITestCase):
url = "http://localhost:8000/api/studentlists/"
def test_post_studentInfo(self):
data = {
"first_name": "StudentTest",
"last_name": "test1",
"gender": "Male",
"dob": "2021-0... | SethuKarthick/Student_enrollment_form_Backend | studentadmissionmanager/studentlists/tests.py | tests.py | py | 971 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 4,
"usage_type": "name"
}
] |
71449750587 | from multiprocessing import Process, Pipe
class Consumer(Process):
def __init__(self, pipe):
Process.__init__(self)
self.pipe = pipe
def run(self):
print("Consumer received...{}".format(self.pipe.recv()))
self.pipe.send("Consumer words!")
class Producer(Process):
def __i... | haidongsong/spider_learn | zhang_xiaobo_spider_practice/process_pip.py | process_pip.py | py | 785 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "multiprocessing.Process",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "multiprocessing.Process.__init__",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 6,
"usage_type": "name"
},
{
"api... |
22907417370 | # (C) Efsane Müzikal herkes için en güzel müzik botu..
from time import time
from datetime import datetime
from pyrogram import Client, filters
from pyrogram.types import Message, InlineKeyboardMarkup, InlineKeyboardButton, Chat, CallbackQuery
from helpers.decorators import authorized_users_only
from config import BO... | TMLANA/li | handlers/callback.py | callback.py | py | 10,837 | python | tr | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pyrogram.types.CallbackQuery",
"line_number": 35,
"usage_type": "name"
},
{
"api_name"... |
29254881363 | from os import sep
from prettytable import PrettyTable
import os
LimpiarPantalla = lambda: os.system('cls')
#region Metodos
def separador():
print("="*60)
def productosABC():
global Total_Anual
LimpiarPantalla()
# Producto A
print("\t\tProducto A")
print("PRIMER SEMESTRE")
cant_A = int(in... | 1i348493930303/PIA_CONTA | PIA_CONTA.py | PIA_CONTA.py | py | 21,574 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "prettytable.PrettyTable",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "prettytable.PrettyTable",
"line_number": 136,
"usage_type": "call"
},
{
"api_name": "prettytable... |
4185377944 | import numpy as np
import matplotlib.pyplot as plt
from epsilon_greedy import EpsGreedy
from ucb import UCB
from beta_thompson import BetaThompson
from linucb import LinUCB
from lin_thompson import LinThompson
def offlineEvaluate(mab, arms, rewards, contexts, nrounds=None):
"""
Offline evaluation of a multi-... | Bluestone47/multi-armed-bandits | offline_evaluate.py | offline_evaluate.py | py | 3,028 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.cumsum",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
30928758025 | """
Generic metric class for tpc_ml.
"""
import torch
import torch.nn as nn
from logger import Logger
class GenericMetric:
"""
"""
def __init__(self,
name: str='generic',
output_shape: tuple=(),
target_shape: tuple=(),
input_shape: tuple=(),
when_compute: ... | infophysics/pytorch_starter | src/metrics.py | metrics.py | py | 3,072 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.empty",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "torch.empty",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_numb... |
37772790464 | from django.contrib import admin
from .models import UserMeta
# Register your models here.
@admin.register(UserMeta)
class UserMetaAdmin(admin.ModelAdmin):
list_display = ('user', 'reputation')
list_editable = ('reputation',)
search_fields = ('user',)
list_filter = ('reputation',)
| Dathmar/mors-tyrannis | users/admin.py | admin.py | py | 300 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 6,
"usage_type": "call"
},
{
... |
4428785283 | import sys
import time
import clr
from openhab import OpenHAB
from msvcrt import kbhit # Detect key press to exit
from subprocess import check_output # Check processes running
clr.AddReference('EngineIO')
from EngineIO import *
# There is no way to check if OpenHAB and Home I/O are running and Home I/O API is availa... | jaBote/OpenHAB-python-HomeIO | connect_main.py | connect_main.py | py | 13,351 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "clr.AddReference",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line... |
31126467694 | import torch
from transformers import BertConfig, BertModel
# Building the config
config = BertConfig()
# Building the model from the config
model = BertModel(config)
print(config)
model.save_pretrained("directory_on_my_computer")
encoded_sequences = [
[101, 7592, 999, 102],
[101, 4658, 1012, 102],
[10... | SleepySoft/HuggingFaceStudy | 02.UsingTransformers/03.Models_PT.py | 03.Models_PT.py | py | 435 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "transformers.BertConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "transformers.BertModel",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 20,
"usage_type": "call"
}
] |
26040035346 | from __future__ import annotations
import logging
import os
from abc import ABCMeta
from dataclasses import dataclass
from itertools import chain
from pants.backend.helm.check.kubeconform.extra_fields import KubeconformFieldSet
from pants.backend.helm.check.kubeconform.subsystem import KubeconformSubsystem
from pants... | pantsbuild/pants | src/python/pants/backend/helm/check/kubeconform/common.py | common.py | py | 5,240 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pants.core.goals.check.CheckRequest",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "pan... |
70055366269 | import json
import matplotlib.pyplot as plt
def readFile(fileName):
'''
read asterix from json file and return two data structures
'''
with open(fileName, 'r') as f:
data = [json.loads(line[:-2]) for line in f.readlines()[0:-1]]
# f = open(fileName)
# data = json.load(f)
tra... | avidalh/eva | src/plotAst.py | plotAst.py | py | 14,044 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 173,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 173,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
20201535727 | from django import forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Submit
from bootstrap_datepicker_plus.widgets import DateTimePickerInput
class SubscriptionForm(forms.Form):
sub_name = forms.CharField(label='Subscription Name', max_length=100)
price = forms.DecimalFie... | jyoshin/django-subs | base/forms.py | forms.py | py | 838 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.Form",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.forms"... |
27147298644 | import io
class FullNameTable:
def __init__(self, reader, table_directory, position):
self._full_font_name = ''
self._data = None
self._table_directory = table_directory
if table_directory is not None:
int_offset = self._read_u_long(table_directory, position + 8... | dynamicpdf-api/python-client | dynamicpdf_api/full_name_table.py | full_name_table.py | py | 3,314 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "io.SEEK_SET",
"line_number": 15,
"usage_type": "attribute"
}
] |
39027091801 |
import sys
import io
import requests
from bs4 import BeautifulSoup
from fake_useragent import UserAgent
sys.stdout = io.TextIOWrapper(sys.stdout.detach(), encoding = 'utf-8')
sys.stderr = io.TextIOWrapper(sys.stderr.detach(), encoding = 'utf-8')
URL = 'https://www.wishket.com/accounts/login/'
ua = UserAgent()
#Sess... | DooHwan-Kim/WebScraping | section3/3-5-1.py | 3-5-1.py | py | 1,211 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdout",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "io.TextIOWrapper",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdout.detach",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"lin... |
25823398956 | import numpy as np
from keras.preprocessing.image import load_img, img_to_array
from keras.models import load_model
import os
from time import sleep
n_class = 7
img_size = 28
BATCH_SIZE = 26
EPOCH = 10
path="./real-data"
labels=['normal','inner_1','inner_2','outer_1','outer_2','ball_1','ball_2']
#readi... | Lu-JF/RaspberryPiCaseStudy | Run_on_RaspberryPi.py | Run_on_RaspberryPi.py | py | 3,973 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "keras.preprocessing.image.load_img",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.img_to_array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
"line_number": 19,
"usage_type": "call"
}... |
18270572912 | import spacy
from keyboost.keyBoost import *
if len(section.split(' ')) <=1000:
nlp = spacy.load('fr_core_news_sm')
stopwords = nlp.Defaults.stop_words
keyboost = KeyBoost('paraphrase-MiniLM-L6-v2')
keywords = keyboost.extract_keywords(text=section,
language='fr',
... | ecolabdata/2021-NLP_AE | Zakaria/keyboost_project/keyboost_source/Inference/final_script_keyboost_component.py | final_script_keyboost_component.py | py | 569 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "spacy.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "keyboost.keyBoost",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "keyboost.keyBoost.extract_keywords",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keyboo... |
43627045594 | from typing import List
class Solution(object):
def minDominoRotations(self, tops: List[int], bottoms: List[int]) -> int:
n = len(tops)
t, b = 0, 0
for i in range(n):
if tops[i] != tops[0]:
t += 1
if bottoms[i] != tops[0]:
b += 1
... | MichaelTQ/LeetcodePythonProject | solutions/leetcode_1001_1050/LeetCode1007_MinimumDominoRotationsForEqualRow.py | LeetCode1007_MinimumDominoRotationsForEqualRow.py | py | 1,235 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
4742162211 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import sklearn.linear_model
import scipy.stats as stats
import pandas_market_calendars as mcal
from alpha_vantage.timeseries import TimeSeries
api_key = '8FIYTT49ZEZT2GV5'
ts = TimeSeries(key=api_key, output_format='pandas')
data, meta_da... | obawolo/Capstone | test2.py | test2.py | py | 3,635 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alpha_vantage.timeseries.TimeSeries",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas_market_calendars.get_calendar",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm.cdf",
"line_number": 21,
"usage_type": "call"
... |
26112391085 | import numpy
from silx.gui import qt
from silx.gui.plot import PlotWidget
from silx.gui.plot.actions.control import ZoomBackAction, CrosshairAction
from silx.gui.plot.actions.io import SaveAction, PrintAction
from silx.gui.plot.tools.menus import ZoomEnabledAxesMenu
class PlotWidgetWithContextMenu(PlotWidget):
""... | silx-kit/silx | examples/plotContextMenu.py | plotContextMenu.py | py | 2,503 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "silx.gui.plot.PlotWidget",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "silx.gui.plot.actions.control.ZoomBackAction",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "silx.gui.plot.actions.control.CrosshairAction",
"line_number": 19,
"... |
22964639167 | from flask import render_template, Blueprint, request, redirect, url_for, session
from log_required import login_required
from database import DatabaseExecutes
import os
from youtubesearchpython import VideosSearch
import re
dashboard_blueprint = Blueprint("dashboard", __name__, template_folder='templates')
database_e... | PKostecki/GamesTracker | blueprints/dashboard/dashboard.py | dashboard.py | py | 2,935 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "database.DatabaseExecutes",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
39040950677 | import streamlit as st
import pandas as pd
import plotly.express as px
# Access mapbox token from secrets.toml
mapbox_token = st.secrets["mapbox_token"]
# Import weather data into a DataFrame.
df = pd.read_csv("cities.csv")[
[
"City",
"Country",
"Lat",
"Lng",
"Max Temp",
... | matin-n/Vacation-Weather-Dashboard | streamlit_app.py | streamlit_app.py | py | 4,323 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.secrets",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.set_page_config",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "stream... |
8065250974 | from django.urls import path
#from burcblog import settings
from . import views
from django.conf.urls.static import static
from django.contrib.auth.views import LoginView,LogoutView
from django.contrib.auth import views as auth_views
urlpatterns = [
path('', views.homepage,name="homepage"),
path('... | SeraySimsek/zodiacblog | urls.py | urls.py | py | 2,643 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
72651198267 |
"""Payment Views"""
import logging
from django.contrib.auth import get_user_model
from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from rest_framework.permissions import IsAuthenticated
from .serializers import ChargeCardSerializer, OrderHistorySer... | Horlawhumy-dev/dukka_ecommerce | payment/views.py | views.py | py | 3,531 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rest_framework.views.APIView",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticated",
"line_number": 21,
"usage_ty... |
7460253766 | import torch
import torchvision
import torchvision.transforms as transforms
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class down(nn.Module):
def __init__(self, inChannels, outChannels, filterSize):
super(down, self).__init__()
# Initiali... | CodeCore1994/CSE353_ML | model.py | model.py | py | 4,886 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
31784880117 | """Use final model to predict on new data."""
import os
from typing import Final, Dict, List
import albumentations as A
from tensorflow.keras.models import load_model
from wildlifeml import WildlifeDataset
from wildlifeml.data import BBoxMapper
from wildlifeml.training.evaluator import Evaluator
from wildlifeml.utils.... | slds-lmu/wildlife-experiments | scripts/pred_final_model.py | pred_final_model.py | py | 2,088 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "typing.Final",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_numbe... |
7390219690 | # Fits neural networks to the UK election data
import tensorflow as tf
import tensorflow_probability as tfp
from cc_funcs import cc_log_prob, cc_mean
from election_data import load_election_data
import numpy as np
import pandas as pd
seed = 0
epochs = 1000
TRAIN_BUF = 509
TEST_BUF = 150
BATCH_SIZE = 128
reg_cc = 0.0
... | cunningham-lab/cb_and_cc | cc/election_mlp.py | election_mlp.py | py | 6,980 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "tensorflow.random.set_seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tensorflow.random",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "tensorflow_probability.distributions",
"line_number": 25,
"usage_type": "attribute"
}... |
18197429187 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 15 19:33:16 2021
@author: Mike
"""
import time
import datetime
import pandas as pd
import json
#opens the file and gets the data inside
with open('symbol_1500.json') as f:
daa = json.load(f)
#code taken from https://learndataanalysis.org/source-code... | WujiMikeChen/Stock-Trading-Algorithms | GettingStockData/GetStockData.py | GetStockData.py | py | 1,013 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_numbe... |
32659170404 | # Shamelessly stolen from https://github.com/Thezomg/mcapi/
# Based on Java from https://github.com/Mojang/AccountsClient/
import requests
import json
from requests.exceptions import ConnectionError
class NoSuchUserException(Exception):
pass
AGENT = "minecraft"
PROFILE_URL = "https://api.mojang.com/profiles/min... | JunctionAt/JunctionWWW | blueprints/uuid_utils.py | uuid_utils.py | py | 2,544 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "requests.exceptions.ConnectionE... |
10139859610 | from staff.models import Staff
from django.contrib.auth.models import User
from django.test import TestCase
from django.utils import timezone
class StaffTest(TestCase):
@classmethod
def setUpTestData(self):
# Set up non-modified objects used by all test methods
startTime = timezone.now()
... | shreygoel7/Pinocchio | Pinocchio/staff/tests/test_models.py | test_models.py | py | 787 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "d... |
24501132151 | import random
import numpy as np
import heapq
import scipy.io
import math
class data_loader:
def __init__(self, database_name='UCB', labeled_num=100):
if database_name == 'UWA' or database_name == 'UWA30':
self.class_num = 30
self.depth_feature_length = 110
self.rgb_feat... | wenwen0319/GVCA | loader_class_euc.py | loader_class_euc.py | py | 9,645 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "random.random",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "scipy.io.io.loadmat",
"line_number": 141,
"usage_type": "call"
},
{
"api_name": "scipy.io.io",
"line_number": 141,
"usage_type": "attribute"
},
{
"api_name": "scipy.io",
"... |
10291570300 | """
KMeans, Birch and Gaussian Clustering Algorithms from scikit-learn library
Place the dataset file in the same directory and change the 'dataset_name' (line 18) accordingly.
Make sure the files 'cluster_labelling.py' and 'performance_measures' are present in the same directory
"""
from sklearn.cluster import Birch... | sharath-cgm/SoftModes | Other Clustering Algorithms/k-means_BIRCH_Gaussian_scikit.py | k-means_BIRCH_Gaussian_scikit.py | py | 2,835 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.Birch",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "cluster_labelling.la... |
41013589479 | # coding=utf-8
import matplotlib
#matplotlib.use('Agg')
import numpy as np
import pyten
from scipy import stats
from pyten.method.PoissonAirCP import PoissonAirCP
from pyten.method import AirCP
from pyten.tools import tenerror
from pyten.method import falrtc,TNCP,cp_als
import util
import matplotlib.pyplot as plt
siz ... | yangjichen/ExpCP | EXP1/testPoissonAirCP.py | testPoissonAirCP.py | py | 5,845 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "util.create2",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"l... |
6439414982 | import numpy as np
from scipy import stats
from scipy import ndimage
import cv2
def make_cdf(img, n_bins=256):
"""
Creates CDF of input image (map from [0,255] to [0,1])
Inputs:
- img: input image
- n_bins: Number of bins used
Output:
- Dictionary containing Cummulative frequencies (CDF) ... | shfoo/texture-synthesis | pyramid_synthesis.py | pyramid_synthesis.py | py | 6,527 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.stats.cumfreq",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_n... |
28742339410 | import numpy as np
import networkx as nx
from numba import jit
from src.inference.beta_utils import *
class HotPotts:
def __init__(self, neighbour_graph, number_clusters, beta, beta_model, beta_strength):
check_valid_model(beta_model)
self.neighbour_graph = neighbour_graph
self.num_clust... | Roth-Lab/SpatialSort | src/distributions/HotPotts.py | HotPotts.py | py | 7,821 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.max",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number... |
74596475068 | from numpy import dot
from scipy.linalg import det, svd
def destress(Q, MP):
""" Removes the stress and associated energy from state Q
"""
A = Q[5:14].reshape([3, 3])
detA = det(A)
U, _, Vh = svd(A)
Q[5:14] = detA**(1 / 3) * dot(U, Vh).ravel()
| haranjackson/ADER | models/gpr/boundaries.py | boundaries.py | py | 270 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "scipy.linalg.det",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.svd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 11,
"usage_type": "call"
}
] |
26829722508 | #!/usr/bin/python
import sys
import os
import os.path
import logging
import subprocess
import bz2
import cPickle
import logging
import core_data
__author__ = "Michael Lienhardt"
__copyright__ = "Copyright 2017, Michael Lienhardt"
__license__ = "GPL3"
__version__ = "0.5"
__maintainer__ = "Michael Lienhardt"
__email_... | HyVar/gentoo_to_mspl | guest/hyvar/extract_portage.py | extract_portage.py | py | 26,673 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "os.path.realpath",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
23742189000 | import cv2
from tracker import *
# Create tracker object
tracker = EuclideanDistTracker()
cap = cv2.VideoCapture("highway.mp4")#read frames from the video
# Object detection from Stable camera
#Extract the moving objects from the stable camera
object_detector = cv2.createBackgroundSubtractorMOG2(history=... | Sarah436/Object_Tracking_OpenCV | main.py | main.py | py | 1,813 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.createBackgroundSubtractorMOG2",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.threshold",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.... |
72014606588 | import torch.nn as nn
class LockedDropout(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, batch_first=False, p=0.5):
if not self.training or not p:
return x
mask_shape = (x.size(0), 1, x.size(2)) if batch_first else (1,
... | jerbarnes/semeval22_structured_sentiment | baselines/graph_parser/src/awd/locked_dropout.py | locked_dropout.py | py | 543 | python | en | code | 71 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
}
] |
21867301965 | import logging
import warnings
import time
import math
from threading import Condition, Thread
import struct
import pickle
import traceback
import os
from usb.backend import libusb0, libusb1
import usb.core
import usb.util
from phywhisperer.firmware import phywhisperer as fw_phywhisperer
def packuint32(data):
... | newaetech/phywhispererusb | software/phywhisperer/interface/naeusb.py | naeusb.py | py | 30,764 | python | en | code | 77 | github-code | 6 | [
{
"api_name": "phywhisperer.firmware.phywhisperer.fwver",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "phywhisperer.firmware.phywhisperer",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "pickle.dumps",
"line_number": 76,
"usage_type": "call"
... |
70106004348 | from twython import Twython, TwythonError
import time
APP_KEY = "zx9UyoOfI693D50KDKlzPKWyw"
APP_SECRET = "szRyDakpY6Ms40ovi61sCNCUIK1vWlI5zMe84YAcOLJZ3i4jMr"
OAUTH_TOKEN = "190738750-VXHAqJU7vHwMK1Uy1i20CkmvlhYkXPvobU1xteAR"
OAUTH_TOKEN_SECRET = "HOOgGxG5ylFsSoFlDReKOgsfPDG6fooCVkGeEmKPFqdPS"
twitter = Twython(APP_KE... | benjaminhr/python-twitter-bot | mytwitterbot.py | mytwitterbot.py | py | 965 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "twython.Twython",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "twython.TwythonError",
"line_number": 33,
"usage_type": "name"
}
] |
32644480377 | """
Shifter's Component guide class.
"""
import ast
from functools import partial
import maya.cmds as cmds
# pyMel
import pymel.core as pm
from pymel.core import datatypes
# mgear
import mgear
from mgear.core import string
from mgear.core import node
from pymel import versions
from mgear.core import dag, vector, t... | mgear-dev/mgear4 | release/scripts/mgear/shifter/component/guide.py | guide.py | py | 52,578 | python | en | code | 209 | github-code | 6 | [
{
"api_name": "mgear.shifter.guide.Main",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "mgear.shifter.guide",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "mgear.log",
"line_number": 275,
"usage_type": "call"
},
{
"api_name": "mgear.se... |
19108844161 | from django.shortcuts import render,redirect
import random
from time import strftime
def index(req):
if 'gold' not in req.session:
req.session['gold'] = 0
if 'activities' not in req.session:
req.session['activities'] = []
data = {
'gold': req.session['gold'],
'activities': r... | klandon94/django_intro | ninja_gold/apps/ninja/views.py | views.py | py | 1,621 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.randint",... |
43202515107 | """Losses."""
import logging
import torch
import torch.nn.functional as F
from . import heads
from ..show.flow_vis import flow_compute_color
from PIL import Image
from datetime import datetime
from .lovasz_loss import lovasz_softmax_flat, flatten_probas, lovasz_hinge
LOG = logging.getLogger(__name__)
class Center... | tfzhou/MG-HumanParsing | lib/network/losses.py | losses.py | py | 38,886 | python | en | code | 74 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.L1Loss",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
14494988554 | import os, argparse
import joblib
import pickle
import mlflow
from azureml.core import Run
from distutils.dir_util import copy_tree
from sklearn.calibration import CalibratedClassifierCV
from sklearn.metrics import brier_score_loss
def calc_reliability(y_test, yhat, yhat_proba, suffix):
# calculate brier sco... | Latticecraft/Azure-ML-Accelerator | src/pipeline/model/calibrate/calibrate.py | calibrate.py | py | 2,639 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sklearn.metrics.brier_score_loss",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mlflow.log_metric",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pickle... |
43005477988 | from vsgpr import VSGPR
from linalg import log_gaussian
import torch.nn.functional as F
import numpy as np
import math
class VSGPR_SVGP(VSGPR):
"""
Add KL in loss function
"""
def __init__(self, Xm, kernel, variance=None, beta=1.0, batch_size=None):
"""
:param Xm: Inducing inputs.
... | weiyadi/dlm_sgp | conjugate/vsgpr_svgp.py | vsgpr_svgp.py | py | 1,501 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "vsgpr.VSGPR",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.random.choice",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.functional.... |
1293463811 | import inspect
from functools import partial
import jax.numpy as jnp
from jax import jit
from onnx_jax.handlers.backend_handler import BackendHandler
from onnx_jax.handlers.handler import onnx_op
from onnx_jax.pb_wrapper import OnnxNode
int32_max = jnp.iinfo(jnp.int32).max
@onnx_op("Slice")
class Slice(BackendHand... | gglin001/onnx-jax | onnx_jax/handlers/backend/slice.py | slice.py | py | 3,354 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "jax.numpy.iinfo",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "jax.numpy.int32",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "onnx_jax.handlers.back... |
73723507707 | # -*- coding: utf-8 -*-
"""Preview
Code for 'Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans'
submit to Transactions on Medical Imaging, 2020.
First Version: Created on 2020-05-13 (@author: Ge-Peng Ji)
"""
import torch
import torch.nn.functional as F
import numpy as np
import os
import argparse
... | aytek03/Image-Segmentation-for-COVID-19 | MyTest_LungInf.py | MyTest_LungInf.py | py | 3,310 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "Code.model_lung_infection.InfNet_ResNest.Inf_Net",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 47,
"usage_type": "call"
},
{
... |
10350107391 | # %% Taken from pytorch example - Test that things work
import torch
import torchvision
dummy_input = torch.randn(10, 3, 224, 224, device="cpu")
model = torchvision.models.alexnet(pretrained=True)
# Providing input and output names sets the display names for values
# within the model's graph. Setting these does not ... | danielfrg/cantus | demucs/torch_to_onnx.py | torch_to_onnx.py | py | 2,158 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.randn",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torchvision.models.alexnet",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.onn... |
9022428231 | import json
from urllib.parse import quote
def get_cookies(session_id_str, user_id=-1, first=-1, after=-1, JSON_codification=True, session_id=True, debug=False):
cookiesAux = dict()
if user_id != -1:
cookiesAux["id"] = user_id
if first != -1:
cookiesAux["first"] = first
i... | gameoverfran/seguridad_informatica | getters_maker.py | getters_maker.py | py | 1,294 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.parse.quote",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
}
] |
27533063430 | import numpy as np
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func, distinct
from flask import Flask, jsonify
# Database Setup
engine = create_engine("sqlite:///hawaii.sqlite")
Base = automap_base()
Base.prepare(engine, r... | RyakDL/SQL_alchemy_challenge | Surfs_up/Climate_app.py | Climate_app.py | py | 5,211 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.automap.automap_base",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 20,
"usage_type": "call"
},
{
"api_name... |
21965777489 | import numpy as np
from sklearn.linear_model import LinearRegression
import pylab
def linear_regression_line_coordinates(x,y,min_x,max_x):
x = np.array(x).reshape(-1,1)
y = np.array(y)
model = LinearRegression().fit(x,y)
r_sq = model.score(x,y)
slope = model.coef_
intercept = model.intercept_
... | ernestofgonzalez/PhysicsBsc | TerceiroSemestre/FísicaExperimentalII/Apresentação/data_analysis.py | data_analysis.py | py | 3,959 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.lins... |
2078236337 | # import datetime
# from re import U
from odoo import models, fields,api
from odoo.exceptions import UserError
from odoo import models, fields, api
from odoo.exceptions import UserError
from odoo import http
from odoo.http import request
from datetime import datetime
import io
import base64
import xlwt
class Securi... | Odolution/lacas | security_amount_report/models/security_amount_report.py | security_amount_report.py | py | 9,111 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "odoo.models.Model",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "xlwt.Workbook",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "xlwt.easyxf",
"l... |
74929806586 | from django.shortcuts import render
from .models import CompanyAccount
response = {}
def company_detail(request, id):
html = "layout/company_profile.html"
selected_company = CompanyAccount.objects.get(company_id=id)
response['sub_title'] = selected_company.company_name + ' Profil Page'
response['c... | argaghulamahmad/konekin-enterprise | company_profile/views.py | views.py | py | 3,180 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.CompanyAccount.objects.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.CompanyAccount.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.CompanyAccount",
"line_number": 11,
"usage_type": "name"
},... |
32119058861 | # pylint: disable=C0103
from django.db import migrations
import apps.bk_crypto.models
class Migration(migrations.Migration):
dependencies = [
("doc", "0002_alter_comment_content_alter_commentbin_content_and_more"),
]
operations = [
migrations.AlterField(
model_name="doc",
... | OVINC-CN/iWikiAPI | apps/doc/migrations/0003_alter_doc_header_img_alter_docbin_header_img.py | 0003_alter_doc_header_img_alter_docbin_header_img.py | py | 791 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
44799067773 | from django.db import models
from django.db.models.signals import post_save, post_delete
from django.dispatch import receiver
from .models import Message
from apps.users.models import Profile
def message_post(sender, instance, created, *args, **kwargs):
if created:
create_message = Message.objects.create(... | Shwarz1Van1Hummer/SCP_MVC2 | apps/chat/signals.py | signals.py | py | 682 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Message.objects.create",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Message.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Message",
"line_number": 10,
"usage_type": "name"
},
{
"api_name... |
21932297815 | import discord
from discord.ext import commands, tasks
import main
import datetime
import roleutils
channel = 823535219155927111
globalchan = 912531337901125642
readychan = 919290727660417024
readymsg = 925801984638984202
processors = {}
class RecomCog(commands.Cog):
def __init__(self, client):
self.client ... | Jarkyc/Franklin-The-Undying | recomcog.py | recomcog.py | py | 6,944 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": ... |
654968097 | import h5py
from heimdall import view, to_source
def example(split_channels=False):
""" Split channel toggles between old (False) and new (True) napari channel behaviour.
"""
path = '/home/pape/Work/data/ilastik/mulastik/data/data.h5'
with h5py.File(path) as f:
raw = f['raw']
pred = f[... | constantinpape/heimdall | example/hdf5_viewer.py | hdf5_viewer.py | py | 479 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "h5py.File",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "heimdall.to_source",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "heimdall.view",
"line_number": 13,
"usage_type": "call"
}
] |
30721176104 | import os
import rasterio
import numpy as np
from tqdm import tqdm
import time
import scipy.ndimage as ndimage
def fullPython_uniformFilter(imgPath: str,
half_size: int,
outputImgPath: str) -> np.ndarray:
""" """
with rasterio.open( imgPath, "r" ) as i... | joclarstudio/demogreen | src/demogreen/demo_green.py | demo_green.py | py | 8,838 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "rasterio.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line... |
36181964923 | from collections import Counter
import numpy as np
import pandas as pd
def my_train_test_split(X, y, test_size=0.2):
indices = np.array([i for i in range(len(X))])
np.random.shuffle(indices)
cut = int(len(X) * (1 - test_size))
X_train = X[indices[:cut]]
X_test = X[indices[cut:]]
y_train = y[i... | lee-saint/lab-python | scratch11/practice.py | practice.py | py | 2,632 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random.shuffle",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.mean",
"lin... |
19238418884 | from typing import List
class Solution:
def productExceptSelf(self, nums: List[int]) -> List[int]:
res = [1] * len(nums)
left_product = 1
right_product = 1
# left products
for i in range(len(nums)):
res[i] = left_product
left_p... | rasimatics/Data-Structures-and-Algorithms | 238_product_except_self.py | 238_product_except_self.py | py | 538 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
16886325808 | from calendar import c
from ensurepip import version
from tkinter import *
from tkinter import ttk
from turtle import back
from PIL import ImageTk, Image
from pyparsing import col
from tkinter import filedialog
import os
from zipfile import ZipFile
import wget
import tkinter
import webbrowser
import thread... | HarukuCode/dcs-autoIM | autoIMv1.2.py | autoIMv1.2.py | py | 10,796 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
73833124667 | ## SPDX-License-Identifier: MIT
## The content of this file has been developed in the context of the MOSIM research project.
## Original author(s): Jannes Lehwald, Janis Sprenger
#import json
import argparse
#import os
from thrift.transport import TSocket
from thrift.transport import TTransport
from thrift.protocol ... | mercedes-benz/MOSIM_Core | Framework/LanguageSupport/python/MMIPython/src/MMIPython/PythonAdapter.py | PythonAdapter.py | py | 4,205 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "MMIStandard.core.ttypes.MIPAddress",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "MMIStandard.core.ttypes.MIPAddress",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 100,
"usage_type": "call"
... |
539510536 | # https://projecteuler.net/problem=5
from collections import Counter
from math import sqrt
def find_prime_factors(number, results=[]):
"""
Results is created once and we use python reference to reuse the same list.
"""
prime = smallest_prime(number)
if prime:
# If we have found a prime it ... | raulcd/project-euler | euler/problem005.py | problem005.py | py | 1,954 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 38,
"usage_type": "call"
}
] |
11855563133 | import sys
import json
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from P2PNode import P2PNode
class Window(QMainWindow):
def __init__(self, host='localhost', port=5000):
super().__init__()
#Initialises stored IP and port variables
self.host = host
... | elioskmil/SoftwareDevFinalProj | Window.py | Window.py | py | 7,492 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "P2PNode.P2PNode",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 141,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 224,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_numbe... |
26003394923 | from mpi4py import MPI
import numpy as np
comm = MPI.COMM_WORLD
rank = comm.rank
data = list()
matrix_data = list()
tam = 1000
a = np.random.randint(100, size=(tam, tam))
c = np.random.randint(100, size=tam)
nuevoVector = np.zeros(len(c))
comm.Barrier()
t_start = MPI.Wtime()
def multiplicarFila_X_Vector(matrix_... | leoAlvTor/AlvaradoTorres_Leonardo_Examen | main.py | main.py | py | 1,958 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "numpy.random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random... |
23886429484 | import argparse, json
import pandas as pd
def process_cnv_vcf(vcf_lines_list):
genomic_lines = []
for line in vcf_lines_list:
record = dict()
if not line[0].startswith('#'):
record = {
"chrm": line[0],
"start": int(line[1]),
}
... | mark-welsh/cancerdx-wgs | reformat_cnv_vcf.py | reformat_cnv_vcf.py | py | 1,336 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 34,
"usage_type": "call"
}
] |
35787277366 | import pytest
from app.apiclients.api_client import ApiClient
# This is the same as using the @pytest.mark.anyio on all test functions in the module
pytestmark = pytest.mark.anyio
urls = ["https://google.com"]
@pytest.mark.parametrize('anyio_backend', ['asyncio'])
async def test_api_client():
for url in urls:
... | jetoslabs/dhruv-email-integration | app/tests/apiclients/test_api_client.py | test_api_client.py | py | 544 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytest.mark",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "app.apiclients.api_client.ApiClient",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 10,
"usage_type": "call"
},
{
"api_n... |
8783685417 | import os
import signal
import time
import threading
import pytest
import queuety
@pytest.mark.parametrize("tested_signal", ("SIGINT", "SIGTERM", "SIGHUP"))
def test_entry_main(
tested_signal, create_mock_coro, event_loop, mock_queue, mock_gather
):
tested_signal = getattr(signal, tested_signal)
mock_en... | asyks/queuety | tests/test_entry.py | test_entry.py | py | 1,177 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.kill",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 23... |
39374634414 | #!/usr/bin/env python3
import argparse
import os
from common.console import Term
import git
import pathlib
import json
import time
import sys
import json
try:
from versioning import version_string
except ModuleNotFoundError:
def version_string():
return "Unknown version"
def find_root_git_dir(dir):
... | gwutama/dev-tools | scripts/gitinfo.py | gitinfo.py | py | 12,453 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.isfile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
43974970200 | import warnings
from datetime import datetime
from dateutil import parser as dateparser
import structlog
from pyramid.events import NewRequest, NewResponse
from pyramid.exceptions import ConfigurationError
from pyramid.httpexceptions import HTTPTemporaryRedirect, HTTPGone
from pyramid.renderers import JSON as JSONRend... | mozilla-services/cliquet | cliquet/initialization.py | initialization.py | py | 19,215 | python | en | code | 65 | github-code | 6 | [
{
"api_name": "newrelic.agent",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "webob.request",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "cliquet.utils.json",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "cliquet.uti... |
34431549596 | from logging import getLogger
from telegram import Bot, Update
from telegram.ext import Dispatcher, CommandHandler
from telegram import ParseMode
from chalicelib.sns_manage import publish_to_sns
from chalicelib.models import Subscription
from chalicelib.messages import (
TGCaseStatsMessage,
TGHelpMessage,
... | beugene-orcher/covid-19-bot | chalicelib/covid19bot.py | covid19bot.py | py | 3,066 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "chalicelib.configer.APP_NAME",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "telegram.Bot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "chaliceli... |
41315883605 | # encoding:utf-8
import requests
import base64
# client_id 为官网获取的AK， client_secret 为官网获取的SK
def getToken():
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=mmQnMG1Um66XS61FjDMqRaMt&client_secret=AxSP62vTNT9IVuf0PnAWZkVFrHiPWviD'
response = requests.get(host)
token... | beishangongzi/somethingforfun | 动漫化/main.py | main.py | py | 1,348 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"l... |
28178948572 | import argparse
import pickle
import SPARQLWrapper
import tqdm
def main():
parser = argparse.ArgumentParser(prog="get_additional_triples", description="Get additional triples of entities "
"appearing in triples of relations of "
... | pmonnin/YAGO4-LP | src/get_additional_triples.py | get_additional_triples.py | py | 2,756 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "SPARQLWrapper.SPARQLWrapper",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "SPARQLWrapper.JSON",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_na... |
19396155100 | from flask import Flask, render_template, jsonify
from flask_restful import Resource, Api
from flask_cors import CORS
app = Flask(__name__)
# api= Api(app)
CORS(app)
# def cust_dict(book):
# from openpyxl import Workbook
# from openpyxl import load_workbook
# wb = load_workbook(book)
# ws = wb.active
# cust_di... | jawadfarid/evolveu | python/Comp_240/comp_240.py | comp_240.py | py | 5,842 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "{'Workbook': 'openpy... |
5711237355 | #!/usr/bin/python
#-*- encoding:UTF-8 -*-
import wx
import sys
import taskManager
class DemoFrame(wx.Frame):
def __init__(self):
wx.Frame.__init__(self, None, -1, "TaskManager", size=(640,480))
self.list = wx.ListCtrl(self, -1, style=wx.LC_REPORT)#创建列表
# Add some columns
self.list... | sensal/SomeFiles | python_taskManager/test.py | test.py | py | 1,359 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "wx.Frame",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "wx.Frame.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "wx.ListCtrl",
"line_nu... |
73787036349 | """
Code to study groups of cells that activate together
"""
from tqdm.auto import tqdm as pbar
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from tctx.analysis import simbatch as sb
from tctx.util import spike_trains as spt, plot
from kmodes.kmodes import KModes
class Amat:
"""
... | comp-neural-circuits/tctx | tctx/analysis/amat.py | amat.py | py | 16,664 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.all",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.issubdtype",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.floating",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.float",
"lin... |
7807987381 | import pandas as pd
import numpy as np
import torch.optim as optim
import json
import sys
import time
import torch
import math
from torch import nn
# from skorch import NeuralNetClassifier
from rf import one_h_suits, get_tree_info, create_unstructured_example
from rf import process_structured_test_examples, cache_dir,... | DanCunnington/FFNSL | examples/follow_suit/baselines/fcn.py | fcn.py | py | 18,053 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "os.path.realpath",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
... |
2831476730 | import numpy as np
from scipy.special import factorial
x = np.pi/2
exp = np.arange(0,100,2)
a = x**exp
fact = factorial(exp)
termos = a/fact
termos[1::2]= -1*termos[1::2]
cosvalue = termos.sum()
print(cosvalue)
print(np.cos(x))
| tmpereira/Curso_Python | lista 05/lista05_04.py | lista05_04.py | py | 229 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "numpy.pi",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "scipy.special.factorial",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line... |
16799481850 | import argparse
from pathlib import Path
import sys
# Add aoc_common to the python path
file = Path(__file__)
root = file.parent.parent
sys.path.append(root.as_posix())
parser = argparse.ArgumentParser()
parser.add_argument('--sample', '-s', help='Run with sample data', action='store_true', default=False)
parsed_arg... | mrkirby153/AdventOfCode2022 | day07/day07.py | day07.py | py | 4,259 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
... |
45365011493 | import dash
from dash import dcc, html, dash_table
from dash.dependencies import Input, Output
import numpy as np
import pandas as pd
from collections import defaultdict
def check_first(s):
bads = {'Collected', 'Harvested', 'collected', 'harvested'}
for bad in bads:
if bad in s:
return Fa... | pakreinbold/skyrim-alchemy | apps/tabbed_skyrim_app.py | tabbed_skyrim_app.py | py | 8,532 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_html",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "numpy.zeros... |
21792538798 | import os
import json
import shlex
import shutil
import subprocess
from subprocess import STDOUT, check_output
from distutils.version import LooseVersion
from blacklist import BLACKLIST
from random import shuffle
def attrget(item, key):
keys = key.split('.')
for key in keys:
if item:
it... | mdamien/chrome-extensions-archive | extstats/notused/make_repos.py | make_repos.py | py | 2,477 | python | en | code | 384 | github-code | 6 | [
{
"api_name": "distutils.version.LooseVersion",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.devnull",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "blacklist.BL... |
11091581610 | from tkinter import *
from PIL import Image,ImageTk
tk=Tk()
canvas = Canvas(tk, width=1080, height=620,bg='firebrick1',relief=RIDGE)
canvas.pack()
root_posn1=(400,520)
load = Image.open('C:\\Users\\DELL\\Desktop\\Data_structure\\Plate1.PNG')
img = ImageTk.PhotoImage(load)
class stack:
def __init__(self):
... | shahjebhasan/Data_Structure-Visualiztion | stack.py | stack.py | py | 1,256 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"line_... |
10554931990 | from anytree import Node, PreOrderIter, RenderTree
from anytree.exporter import UniqueDotExporter
import pygraphviz as pvg
import random
import os, hashlib
from tkinter import *
from tkinter import messagebox
import cv2
# import pygame
def uniqueID():
return hashlib.md5(os.urandom(32)).hexdigest()[:5]
def indiceA... | its-dev-fer/Ahorcado-con-arboles | v2/v2.py | v2.py | py | 7,216 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "hashlib.md5",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "anytree.Node",
"line_number... |
31619972288 | from typing import Mapping, Any
from psycopg2._psycopg import connection as Connection
from psycopg2.pool import SimpleConnectionPool
class ConnectionPool:
def __init__(self, config: Mapping[str, Any]):
self.config = config
self.connection_pool = None
def create_pool(self):
self.con... | cnry/airbyte | airbyte-integrations/connectors/destination-redshift-no-dbt/destination_redshift_no_dbt/connection_pool.py | connection_pool.py | py | 1,038 | python | en | code | null | github-code | 6 | [
{
"api_name": "typing.Mapping",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "psycopg2.pool.SimpleConnectionPool",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "psycopg2._... |
39780270274 | #!/bin/python3
# From https://gpiozero.readthedocs.io/en/stable/remote_gpio.html
#import libraries
from gpiozero import LED
from gpiozero.pins.pigpio import PiGPIOFactory
from time import sleep
factory2 = PiGPIOFactory(host='192.168.16.1')
#factory3 = PiGPIOFactory(host='192.168.1.4')
led_1 = LED(17) # local pin
l... | gitswovi/gits-coding | python/gpiozero/myRemoteLED.py | myRemoteLED.py | py | 580 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "gpiozero.pins.pigpio.PiGPIOFactory",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gpiozero.LED",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gpiozero.LED",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.sle... |
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