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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10440522494 | from django.db import models
from utils.helpers import upload_image, optimize_image
# Create your models here.
class Beneficiary(models.Model):
REQUIRED_IMAGE_RATIO = (350, 200)
image = models.ImageField(upload_to=upload_image)
image_date = models.DateField(help_text="Image clicked date")
created ... | iprashant14/sahyog | apps/beneficiary/models.py | models.py | py | 726 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.ImageField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name":... |
14112313411 | import numpy as np
import zmq
class ObsSpace():
def __init__(self):
self.shape = [96, 1]
class ActionSpace():
def __init__(self):
self.shape = [12, 1]
def sample(self):
return np.clip(((np.random.rand(12)*(40.0-7.5))+7.5), 7.5, 40.0)
class TensegrityEnv:
def __init__(self):
... | rvy11/ddpg_tensegrity | ddpg_impl/TensegrityEnv.py | TensegrityEnv.py | py | 2,225 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.clip",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "zmq.Context",
"lin... |
73975540520 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
# Setting up the values for the grid
ALIVE = 255
DEAD = 0
values = [ALIVE, DEAD]
def random_grid(n):
"""
Returns a grid of NxN random values.
:param n: Size of the grid.
:return: A grid of NxN random values.
... | dzimiks/ParallelGameOfLife | basic_game_of_life.py | basic_game_of_life.py | py | 2,835 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.random.choice",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "matp... |
33376177960 | # Third-party
import astropy.units as u
import astropy.coordinates as coord
from astropy.tests.helper import quantity_allclose
import numpy as np
import pytest
# Project
from ..reference_plane import ReferencePlaneFrame
def test_sanity():
rep1 = coord.CartesianRepresentation(x=[0, 1.],
... | adrn/TwoBody | twobody/tests/test_reference_plane.py | test_reference_plane.py | py | 1,913 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "astropy.coordinates.CartesianRepresentation",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "astropy.coordinates",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "astropy.units.pc",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
10294218876 | # Author: Ana Luisa Mata Sanchez
# Course: CS2302
# Assignment: Lab #6
# Instructor: Olac Fuentes
# Description: Program to draw mazes using dsf
# T.A.: Anindita Nath, Maliheh Zargaran
# Last modified: 04/11/2019
# Purpose: To compare time differences between compressed and non-compressed disjoi... | ana-mata/Lab-6 | Lab6.py | Lab6.py | py | 5,651 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
5832501385 | from typing import List, Optional
import time
import enum
from pathlib import Path
import json
import shutil
from doit.tools import create_folder, config_changed
from requests import Session
from elm_doc.elm_project import ElmPackage, ModuleName, fetch_releases
from elm_doc.run_config import Build
from elm_doc.tasks ... | ento/elm-doc | src/elm_doc/tasks/package.py | package.py | py | 6,957 | python | en | code | 29 | github-code | 18 | [
{
"api_name": "elm_doc.utils.Namespace",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "json.dump",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"li... |
44559234338 | # Test for Riot Games API
# Anton Chen
import math
import os
import requests
import json
import pandas as pd
import tkinter as tk
from PIL import Image, ImageTk
API_URL = "api.riotgames.com"
DDRAGON_URL = "https://ddragon.leagueoflegends.com"
API_KEY = ""
# Test variables
SUMMONER = "Aegis"
DF = None
# Tkinter
def... | aegisanton/championMatchup | main.py | main.py | py | 6,924 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "json.dump",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
"line_nu... |
29268932634 | import json
import shutil
import os
import cv2
import numpy as np
from pathlib import Path
from random import shuffle
def save_cmu_split_indices(train_per=0.95, save_dir=(Root_Dir / "src/HandEst/data/Public_HandData/CMU_Panoptic/split_indices")):
cmu_labels_path = (Root_Dir / "src/HandEst/data/Public_HandData/CMU... | messmor/yolov7_Hand | data_conversion/convert_2_yolo_format.py | convert_2_yolo_format.py | py | 5,029 | python | en | code | null | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number... |
2770770287 | #!/usr/bin/env python
from __future__ import print_function
import os
import argparse
import textwrap
import numpy as np
import dictlearn as dl
class ImageOpen(argparse.Action):
def __init__(self, option_strings, dest, nargs=None, **kwargs):
super(ImageOpen, self).__init__(option_strings, dest, **kwargs)
... | permfl/dictlearn | scripts/create_mask.py | create_mask.py | py | 7,015 | python | en | code | 28 | github-code | 18 | [
{
"api_name": "argparse.Action",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext",
... |
4538891068 | #!/usr/bin/env python3
import asyncio
import struct
import random
import time
from bleak import BleakClient, BleakScanner
prepare_delay_ms = 4000
use_sync = False # Enables synchronization protocol
DDD_SERVICE_UUID = "32e61089-2b22-4db5-a914-43ce41986c70"
DDD_REQ_CHAR_UUID = "32e6108b-2b22-4db5-a914-43ce41986... | noloerino/DDD | ble_server/ble_server.py | ble_server.py | py | 9,815 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 87,
... |
18298117334 | import visa
import numpy
import time
import decimal
import matplotlib.pyplot as plt
import csv
from datetime import datetime
import os
import argparse
import itertools
import sys
import threading
# run if this file is the main program
if __name__ == '__main__':
print("""
""")
p... | KaylxJang/wavesweeper_thorlabs_santec | wave_sweeper_thorlabs_santec.py | wave_sweeper_thorlabs_santec.py | py | 14,298 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "visa.ResourceManager",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 171,
"usage_type": "call"
},
{
"api_name": "itertoo... |
9766351932 | import Seq1
import jinja2
import pathlib
import json
import http.client
DICT_GENES = {"FRAT1": "ENSG00000165879",
"ADA": "ENSG00000196839",
"FXN": "ENSG00000165060",
"RNU6_269P": "ENSG00000212379",
"MIR633": "ENSG00000207552",
"TTTY4C": "ENSG00000228296",
"RBMY2YP"... | mnevado02/practices-2021 | Final-Project/utils.py | utils.py | py | 2,994 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "jinja2.Template",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "colorama.init",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"l... |
33592932785 | from collections import deque
materials = [int(x) for x in input().split()]
magic_level = deque([int(x) for x in input().split()])
boxes = {
150: "Doll",
250: "Wooden train",
300: "Teddy bear",
400: "Bicycle"
}
crafted_toys = {}
while materials and magic_level:
material = materials.pop()
ma... | jradovanov/python-advance | exams_python_advance/santa's_present_factory.py | santa's_present_factory.py | py | 1,418 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 4,
"usage_type": "call"
}
] |
74793274278 | from zerver.models import Backlog, BacklogAccessory, UpdateBacklog, Statement, StatementBacklog, StatementAccessory, \
StatementState, UserProfile, Stream, ZgStatementComment, ZgReplyComment,UserProfile
from django.http import JsonResponse
import datetime, time, json, calendar
from zerver.lib import avatar
from da... | ty-xy/zg13 | zerver/views/zg_backlog.py | zg_backlog.py | py | 46,992 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "datetime.timezone.utc",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_na... |
10054044916 | import socket
import sys
import time
import math
import pygame
MSGLEN = 128
PRINT_STUFF = True
SERV_IP = "10.0.0.12"
WIN_SIZE_X = 600
WIN_SIZE_Y = 600
WHITE = [255,255,255]
class XO_ClientGUI:
def __init__(self, id:str):
self.my_turn = False
self.s = socket.socket(socket.AF_I... | Tomi-1997/CS-2ndYear | XO/XO_ClientGUI.py | XO_ClientGUI.py | py | 7,780 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "socket.socket",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "socket.geth... |
25625669336 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('server', '0100_driver_ssn'),
]
operations = [
migrations.RemoveField(
model_name='driver',
name='def... | JeremyParker/idlecars-backend | server/migrations/0101_remove_driver_defensive_cert_image.py | 0101_remove_driver_defensive_cert_image.py | py | 357 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
22379525378 | from django.conf.urls import url, include
from . import views
from rest_framework.routers import DefaultRouter
router = DefaultRouter()
router.register(r'pages', views.PageViewSet)
urlpatterns = [
url(r'^insert-nbsp', views.insert_nbsp),
url(r'^search-documents/de', views.search_documents_de),
url(r'^sea... | campusmedius/campusmedius | backend/campusmedius/campusmedius/main/urls.py | urls.py | py | 546 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api... |
32274372796 | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 14 22:57:20 2023
@author: Zeo
"""
import numpy as np
import matplotlib.pyplot as plt
def classical_walk(samples):
posN = np.zeros(P);
posN[N]= 1;
for i in range (N):
posN = (np.roll(posN, 1)+ np.roll(posN, -1)) /2;
return posN;
N = 100;
P = 2 * ... | rico-patrick/QuantumWalks | classical_walk_time.py | classical_walk_time.py | py | 620 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.roll",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
75293631399 | """
EXPERIMENTAL
============
Lightweight connection pooling for peewee.
In a single-threaded application, only one connection will be created. It will
be continually recycled until either it exceeds the stale timeout or is closed
explicitly (using `.manual_close()`).
In a multi-threaded application, up to `max_conn... | Zachary-Jackson/Tacocat | virtual_env/Lib/site-packages/playhouse/pool.py | pool.py | py | 4,526 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_numbe... |
6380139584 | import nltk
import random #to shuffle up data so that no bias
from nltk.corpus import movie_reviews #contains 2000 +ve and -ve reviews
import pickle
from nltk.classify.scikitlearn import SklearnClassifier
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
#list out all words document-wise and ad... | ChinmoyJyotiKathar/Virtual_Interview | sentimentanalysisProg.py | sentimentanalysisProg.py | py | 2,676 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.shuffle",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 37,
"usage_type": "call"
},
{
"api_name":... |
891721818 | import requests
from bs4 import BeautifulSoup
import csv
import time
MAX_RETRIES = 3
RETRY_DELAY = 5 # Seconds between retries
# ... (rest of the functions remain unchanged) ...
def retry_request(url):
retries = 0
while retries < MAX_RETRIES:
try:
response = requests.get(ur... | kartiksarwan2017/Leadzem.Ai_Assignment | amazon_scraping.py | amazon_scraping.py | py | 5,071 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
"... |
36965232624 | import numpy as np
import matplotlib.pyplot as plt
from Utils.Bcolor import Bcolors
from math import fabs
from Utils.Debug_Levels import Debug_Levels as verbos
import time
from Libraries.Enums import NNLibs
from Libraries.Torch import Torch
from Libraries.Simplynet import SimplyNet
from Libraries.Sklearn import Sklearn... | frknayk/WeightVis | Visualizer/Brain.py | Brain.py | py | 16,085 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "Utils.Debug_Levels.Debug_Levels.NO",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "Utils.Debug_Levels.Debug_Levels",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "Utils.Bcolor.Bcolors",
"line_number": 82,
"usage_type": "call"
... |
8840505117 | #!/usr/bin/env python
import pickle
import config
import socket
from user_token import User_token
# http://grokbase.com/t/python/python-list/0369kdpe56/scanning-for-local-servers-getting-a-broadcast-address
# http://www.tutorialspoint.com/python/python_networking.htm
# we will send list of tokens
def run_token_client(i... | shubhamshuklaer/load_balancer | token_client.py | token_client.py | py | 944 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "config.token_serv_port",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "socket.S... |
3391194581 | import cv2
import numpy as np
fn = ['12345.png', 'cir.png']
for ii, n in enumerate(fn):
planets = cv2.imread(n)
planets = cv2.resize(planets, (650, 400))
gray_img = cv2.cvtColor(planets, cv2.COLOR_BGR2GRAY)
img = cv2.medianBlur(gray_img, 5)
cimg = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
circle... | rattasakAong/Object-Tracking-by-Colour | findcircle.py | findcircle.py | py | 907 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_numbe... |
33064458243 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 30 13:50:15 2020
@author: DELL
"""
import numpy as np
from PIL import Image
w = 5
h = 5
array= np.zeros([w,h,3] , dtype = np.uint8)
img = Image.fromarray(array)
img.save('AREA_img1.png')
array1= np.zeros([100,200,3] , dtype = np.uint8)
array1[: ,:100 ] = [255,128,0] #or... | kushagra67414/python | Area_calculation1.py | Area_calculation1.py | py | 418 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.fromarray",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"lin... |
20720021176 | # Databricks notebook source
# MAGIC %md
# MAGIC ##### Welcome to Azurelib Academy By Deepak Goyal
# MAGIC ##### You can master the Databricks here: <a href='https://adeus.azurelib.com' target='_blank'>www.adeus.azurelib.com</a>
# MAGIC ##### Author of this blog: Arud Seka Berne S <a href="https://www.linkedin.com/in/... | azurelib-academy/azure-databricks-pyspark-examples | 34. Pyspark Concat_Ws() Function/Pyspark Concat_Ws() Function - Notebook.py | Pyspark Concat_Ws() Function - Notebook.py | py | 3,093 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyspark.sql.session.SparkSession.builder.master",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.session.SparkSession.builder",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.session.SparkSession",
"line_number... |
20302869420 | from datetime import date, datetime, timedelta
from unittest.mock import Mock, call, patch
from django.contrib.auth.models import Group
from django.core import mail
from django.core.cache import caches
from django.core.exceptions import ValidationError
from django.test import TestCase, override_settings
from django_we... | e-valuation/EvaP | evap/evaluation/tests/test_models.py | test_models.py | py | 49,435 | python | en | code | 93 | github-code | 18 | [
{
"api_name": "django_webtest.WebTest",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "model_bakery.baker.make",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "evap.evaluation.models.Semester",
"line_number": 40,
"usage_type": "argument"
},
{
... |
6232558187 | import json
import logging
from abc import abstractmethod
import attr
import gevent
from metadata.backend.interface import RawBackendType
from metadata.event_system.register import EventType
from metadata.middleware.rabbitmq import ExchangeType, RabbitMQProducer
from metadata.runtime import rt_context
from metadata.t... | Tencent/bk-base | src/datamgr/metadata/metadata/event_system/listener.py | listener.py | py | 9,467 | python | en | code | 85 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "metadata.util.common.camel_to_snake",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "gevent.Timeout",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "... |
6477275479 | #!/usr/bin/env python
# coding: utf-8
# In[6]:
from sklearn.metrics import r2_score,mean_absolute_error,mean_squared_error
from sklearn import datasets
iris = datasets.load_iris()
# print(iris.DESCR)
# In[9]:
targ = iris.target
# print(targ)
# print(iris.target_names)
# In[20]:
data = iris.data
# print(dat... | Prasanna1112/Linear-Rgeression-with-IRIS-dataset | BK Assignment Q2 (New).py | BK Assignment Q2 (New).py | py | 1,475 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 35,
"usage_type": "call"
},
{
... |
22238453711 | from typing import Optional, Dict
import pandas as pd
from kbc_pul.popularity.entity_counting.total_ent_count import EntityTripleCountController
EntityStr = str
class EntityCountInOtherRelationsBothPositions:
def __init__(self,
target_relation: str,
entity_triple_count_contro... | ML-KULeuven/KBC-as-PU-Learning | kbc_pul/popularity/entity_counting/ent_count_in_other_rels_both_positions.py | ent_count_in_other_rels_both_positions.py | py | 2,057 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "kbc_pul.popularity.entity_counting.total_ent_count.EntityTripleCountController",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "kbc_pul.popularity.entity_counting.total_ent_count.EntityTripleCountController",
"line_number": 19,
"usage_type": "name"
},
{
... |
29424124186 | import numpy as np
import matplotlib.pyplot as plt
gridWorld = np.zeros((6, 6))
tmp = np.zeros((6, 6))
theta = 0.01
if_convergence = False
while not if_convergence:
delta = 0
for i in range(6):
for j in range(6):
if (i == 0 and j == 1) or (i == 5 and j == 5):
continue
... | shy829/reinforcement-learning | A1.py | A1.py | py | 1,846 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.matshow",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
32931765825 | from random import shuffle
import pygame as pg
from lib.config import *
def shuffler (r):
shuff = [i for i in range(r)]
shuffleagain = 1
while shuffleagain:
# re-shuffle until no two sequential cards are neighbors
shuffle(shuff)
idx = 0
for j in range(r - 1):
... | opmorgan/py-seqtest | lib/utils.py | utils.py | py | 782 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.shuffle",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pygame.transform.s... |
25919559835 |
from numpy import *
def loadDataSet(fileName):
dataMat = []
fr = open(fileName)
for line in fr.readlines():
curLine = line.strip().split('\t')
fltLine = list(map(float,curLine))###map()返回值已经不再是list,而是iterators；所以需要将iterator 转换成list，即list(map())
dataMat... | sevenry/python_learning_note | machine_learning/ss10/kMeans.py | kMeans.py | py | 6,672 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "urllib.request.parse.urlencode",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "urllib.request.parse",
"line_number": 105,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 105,
"usage_type": "name"
},
{
"api_na... |
23179028262 | from dataclasses import dataclass
import warnings
from cropharvest.countries import BBox
from cropharvest.datasets import Task, CropHarvestLabels, CropHarvest
from cropharvest.config import TEST_REGIONS, TEST_DATASETS
from cropharvest import countries
from .config import TEST_CROP_TO_CLASSIFICATION
from typing impor... | nasaharvest/timl | crop_classification/dl/datasets.py | datasets.py | py | 4,239 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "cropharvest.datasets.Task",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "warnings.warn",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cropharvest.c... |
32481446474 | import copy
import imp
import numpy as np
from ...utils import common_utils
from .nuscenes_dataset import NuScenesDataset
from collections import defaultdict
import torch
from ...ops.roiaware_pool3d import roiaware_pool3d_utils
from pathlib import Path
class NuScenesDatasetMT(NuScenesDataset):
def __init__(self,... | WoodwindHu/DTS | pcdet/datasets/nuscenes/nuscenes_dataset_mt.py | nuscenes_dataset_mt.py | py | 13,274 | python | en | code | 25 | github-code | 18 | [
{
"api_name": "nuscenes_dataset.NuScenesDataset",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.floa... |
38090217423 | __author__ = 'Xavier Basty <xbasty@gmail.com>'
__version__ = '0.1a3'
# The base package metadata to be used by both distutils and setuptools
METADATA = dict(
name = "grapefruit",
version = __version__,
py_modules = ['grapefruit'],
author = 'Xavier Basty',
author_email = 'xbasty@gmail.com',
description = '... | google-code-export/grapefruit | setup.py | setup.py | py | 1,639 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "distutils.core.core.setup",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "distutils.core.core",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "d... |
28445574742 | from neuron import h
h.load_file('stdrun.hoc')
soma = h.Section(name='soma')
seg = soma(0.5)
soma.insert('hh')
ic = h.IClamp(seg)
ic.amp = 40 # since by default a very large section
ic.delay = 1
ic.dur = 1
h.xpanel("neuron")
h.xlabel("voltage graph")
g = h.Graph()
g.addvar("v", "v(0.5)") #hoc string example
g.a... | mcdougallab/neurongui2 | examples/graph_test0.py | graph_test0.py | py | 482 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "neuron.h.load_file",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "neuron.h",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "neuron.h.Section",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "neuron.h",
"line_number... |
38907603445 | import numpy as np
import networkx as nx
import scrubber
import model
import os.path
def neglog(c):
return -np.log((c + 1)/2)
def heavyneglog(c):
return (- np.log((c + 1)/2)) ** 5
def invfun(c):
return (1 - c)/(1 + c)
def cov(c):
return c
def cotan(c):
return 1/np.tan(np.pi * (c + 1)/ 2)
def r... | lolfail9001/hse-sna-un-vc-2022 | votinggraph.py | votinggraph.py | py | 6,288 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.log",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.tan",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 20,
"u... |
220507717 | #!/usr/bin/env python
from setuptools import setup, find_packages
import os
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(name='franca2ros',
version='0.0.1',
description='Franca IDL to ROS2 translator',
author='Mikhail Tsukerman',
packages=find_... | miketsukerman/vsomeip-ros-bridge | src/franca2ros/setup.py | setup.py | py | 740 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
3588643265 | import logging
from django.core.exceptions import ObjectDoesNotExist, MultipleObjectsReturned
from dotenv import load_dotenv
load_dotenv()
import os
import django
import requests
from math import ceil
django.setup()
from prices.models import *
shop = Shop.objects.get(name='DAJAR')
user_agent = os.environ.get('User... | Ryszard-S/Price-tracker | scripts/product_dajar.py | product_dajar.py | py | 4,872 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.setup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
21100987214 | import logging
from typing import List, Tuple
import torch
logger = logging.getLogger(__name__)
class PastKeyValuesHelper:
"""Helper functions to process past key values for encoder-decoder model"""
@staticmethod
def get_past_names(num_layers, present: bool = False):
past_self_names = []
... | microsoft/onnxruntime | onnxruntime/python/tools/transformers/models/t5/past_helper.py | past_helper.py | py | 6,524 | python | en | code | 9,700 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"l... |
14950173001 | # A part of NonVisual Desktop Access (NVDA)
# This file is covered by the GNU General Public License.
# See the file COPYING for more details.
# Copyright (C) 2010-2023 Gianluca Casalino, NV Access Limited, Babbage B.V., Leonard de Ruijter,
# Bram Duvigneau
from typing import List
import serial
from io impor... | nvaccess/nvda | source/brailleDisplayDrivers/hims.py | hims.py | py | 20,932 | python | en | code | 1,802 | github-code | 18 | [
{
"api_name": "serial.PARITY_NONE",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "baseObject.AutoPropertyObject",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 55,
"usage_type": "call"
},
{
"api... |
7057059326 | import os
import cv2
import numpy as np
import keras
from keras.preprocessing import image
from keras.preprocessing.image import load_img,img_to_array
from keras.models import load_model
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings("ignore")
def main():
model=load_model("model.... | Ketan3102/Emotion_Detection | Emotion_Detection_Keras_MobileNet/emotion_detection.py | emotion_detection.py | py | 1,659 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": ... |
13360286162 | def calculate_mcd_msd(alpha, fftlen, pool, validation_dir, gt_dir, sr=16000, num_mcep=36, frame_period=5.0):
converted_dirs = os.listdir(validation_dir)
total_mcd_list = list()
f2f_mcd_list = list()
f2m_mcd_list = list()
m2f_mcd_list = list()
m2m_mcd_list = list()
total_msd_list = list()
... | yyurim/Exp_Disentanglement | calculate/calculate.py | calculate.py | py | 8,043 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 221,
"usage_type": "call"
}
] |
4363756100 | # https://www.youtube.com/watch?v=afITiFR6vfw&index=19&list=PLQVvvaa0QuDfefDfXb9Yf0la1fPDKluPF
import random
import matplotlib.pyplot as plt
from matplotlib import style
style.use('fivethirtyeight')
fig = plt.figure()
def create_plots():
xs = []
ys = []
for i in range(10):
x = i
y = random.randrange(10)
x... | rrosatti/python | data visualization/subplots.py | subplots.py | py | 1,083 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.style.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotli... |
30688588201 | from django import template
register = template.Library()
@register.filter
def ru_pluralize(value: int, variants: str) -> str:
"""Фильтр окончаний кириллицы."""
default = ""
if not variants:
return default
variants = variants.split(",")
value = abs(int(value))
if value % 10 == 1 and... | nmikolaychuk/django-blog | config/blog/templatetags/comments_extras.py | comments_extras.py | py | 598 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.template.Library",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 4,
"usage_type": "name"
}
] |
10644502599 | from collections import defaultdict
class Solution:
def findSubstring(self, s: str, words: List[str]) -> List[int]:
res = []
if len(words) == 0: return res
n = len(s)
m = len(words)
w = len(words[0])
tot = defaultdict(int)
for word in words: tot[word] += 1
... | ShawnDong98/Algorithm-Book | leetcode/python/30.py | 30.py | py | 809 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 12,
"usage_type": "call"
}
] |
23353945512 | # ALGORITMO DE BUSQUEDA DE ARCHIVOS EN UN SISTEMA DE DIRECOTRIOS, IMPLEMENTNADO NODOS
from operator import le
import pathlib
import os
# from tkinter import Tk, Tcl
# from tkinter.filedialog import askdirectory
# Para archivos
from os.path import isfile, join, isdir
# La dirección completa del archivo .py
camino = pat... | SolorzanoBryan/busquedaArchivos | nuevaCarpeta/busquedaArchivo.py | busquedaArchivo.py | py | 4,987 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number... |
31339557612 | import sys
from flask import (abort, flash, Flask, g, redirect,
render_template, request, send_from_directory, session, url_for)
from flask_bootstrap import Bootstrap
from flask_ckeditor import CKEditor
from tinymongo import TinyMongoClient, Query, where
import admin
from gcollections import... | jefmud/biograd | app.py | app.py | py | 7,278 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tinymongo.TinyMongoClient",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_bootstrap.Bootstrap",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask... |
20720015796 | # Databricks notebook source
# MAGIC %md
# MAGIC ##### Welcome to Azurelib Academy By Deepak Goyal
# MAGIC ##### You can master the Databricks here: <a href='https://adeus.azurelib.com' target='_blank'>www.adeus.azurelib.com</a>
# MAGIC ##### Author of this blog: Arud Seka Berne S <a href="https://www.linkedin.com/in/... | azurelib-academy/azure-databricks-pyspark-examples | 33. Pyspark Split Column Values/Pyspark Split Column Values - Notebook.py | Pyspark Split Column Values - Notebook.py | py | 3,453 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyspark.sql.session.SparkSession.builder.master",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.session.SparkSession.builder",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.session.SparkSession",
"line_number... |
7475313977 | from datetime import timedelta
from airflow import DAG
from airflow.providers.docker.operators.docker import DockerOperator
from airflow.sensors.filesystem import FileSensor
from airflow.utils.dates import days_ago
default_args = {
"owner": "airflow",
"email": ["airflow@example.com"],
"retries": 1,
"... | made-ml-in-prod-2021/korowood | airflow_ml_dags/dags/predict_model.py | predict_model.py | py | 1,338 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.timedelta",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "airflow.utils.dates.days_ago",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "airflow.s... |
28799121514 | #########################################################################################################################################
############################################################ functions ##################################################################
# ... | joaotaraujo/leia-midia | osc_server/functions.py | functions.py | py | 8,284 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "keras.models.model_from_json",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "pythonosc.dispatcher.Dispatcher",
"line_number": 70,
"usage_type": "call"
},
{
"a... |
41389389450 | ''' Basic Face Detection and Eye Detection project'''
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') #for detecting the face
eye_cascade = cv2.CascadeClassifier('haarcascade_eye_tree_eyeglasses.xml') #for detecting the eyes
first_read = True
cap = cv2.VideoCapture(0) #captur... | tanmoyee04/OpenCV | Stare Game (A basic Face Detection and Eye Detection Project)/stare_game.py | stare_game.py | py | 2,749 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtCol... |
70820087721 | import numpy as np
import matplotlib.pyplot as plt
import rondo
import rondo.functions as F
x = rondo.Variable(np.linspace(-7, 7, 200))
y = F.sin(x)
y.backward(create_graph=True)
logs = [y.data.flatten()]
n = 3
for i in range(n):
logs.append(x.grad.data.flatten())
gx = x.grad
x.cleargrad()
gx.backwa... | kensuke-kamata/rondo | examples/graph/sin.py | sin.py | py | 518 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rondo.Variable",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "rondo.functions.sin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "rondo.functions",
... |
2721973781 | import numpy as np
import pandas as pd
from flask import Flask, request, jsonify, render_template
import pickle
# import Food_Recommendation_System_Baseline.ipynb
from food_recommendation_system_baseline import foodrecommendation
app = Flask(__name__)
model = pickle.load(open('modelpickel1.pkl', 'rb'))
@a... | ayushraj42448/content-based-recommender | app.py | app.py | py | 1,416 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
... |
40332929604 | # --- Import the required variables:
import tweepy
import os
def post_tweet(download_getting: float, download_should_be: float, upload_getting:float, upload_should_be:float):
"""This function will create a tweet to complain about your bad internet speed."""
# --- Get the required Twitter API keys from O/... | York13Pud/python-100-days-of-code | days-050-to-059/day-051-twitter-bot/post_to_twitter.py | post_to_twitter.py | py | 1,253 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
12583492171 | import cv2
import numpy as np
# Define the circle equation and the error function
def circle_eqn(x_c, y_c, x, y):
return np.sqrt((x-x_c)**2 + (y-y_c)**2)
# Define the error function
def error_fct(params, x, y):
x_c, y_c, r = params
return np.sum((circle_eqn(x_c, y_c, x, y) - r)**2)
# Get average of coori... | Emanuele-n/surgical-copilot | 1dof_micro_catheter/length15cm/motion_capture/1mm_disp/utils.py | utils.py | py | 1,311 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.sqrt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_numbe... |
72686352041 | #! /usr/bin/env python3
import json
import sys
import requests
def main():
r = requests.get('https://raw.githubusercontent.com/microsoft/mstic/master/PublicFeeds/ThreatActorNaming/MicrosoftMapping.json')
r.raise_for_status()
d = json.loads(r.text)
search_term = sys.argv[1].lower()
for item in d:
... | jayswan/rose | rose.py | rose.py | py | 633 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 1... |
10710482831 | #from hubs.hinting import hint, prefixed as _
from hubs.widgets.base import argument
from hubs.widgets.chrome import panel
from hubs import validators
import hubs.models
from fedmsg.meta.base import BaseConglomerator as BC
import jinja2
chrome = panel('Hubs', key='associations')
template = jinja2.Template("""
{% i... | ralphbean/fedora-hubs-prototype | hubs/widgets/subscriptions.py | subscriptions.py | py | 1,396 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "hubs.widgets.chrome.panel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "jinja2.Template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "hubs.widgets.base.models.User.by_username",
"line_number": 32,
"usage_type": "call"
},
{
... |
73518807719 | from typing import List
class Solution:
def addSpaces(self, s: str, spaces: List[int]) -> str:
x = s
for i in range(len(spaces)):
x = x[:spaces[i]+i]+' '+x[spaces[i]+i:]
return x
#Exercise: https://leetcode.com/problems/adding-spaces-to-a-string/
#You are given a 0-indexed str... | MatjazM2020/codingWorkouts | addingSpacesToAString.py | addingSpacesToAString.py | py | 516 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
9404377538 | """
The source code is adapted from https://github.com/aliaksandr960/segment-anything-eo. Credit to the author Aliaksandr Hancharenka.
"""
import os
import tempfile
import cv2
import numpy as np
import rasterio
from tqdm import tqdm
import shapely
import geopandas as gpd
import rasterio
from rasterio import features
... | mhdella/segment-geospatial | samgeo/common.py | common.py | py | 22,636 | python | en | code | null | github-code | 18 | [
{
"api_name": "os.path.expanduser",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
23460913453 | from decimal import Decimal
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = []
operations = [
migrations.CreateModel(
name='AdvertisementMetric',
fields=[
('id', m... | Pavel-Egorov/metrics_storage_service | metrics_storage_service/src/api_impl/migrations/0001_initial.py | 0001_initial.py | py | 2,037 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 13,
"usage_type": "call"
},
... |
30975041001 | import math
import cv2 as cv
import mediapipe as mp
class PoseDetector:
def __init__(self, mode=False, upBody=False, smooth=True, detectionCon=0.5, trackCon=0.5):
self.mode = mode
self.upBody = upBody
self.smooth = smooth
self.detectionCon = detectionCon
self.trackCon = t... | bobaejeon/AITrainer | PoseModule.py | PoseModule.py | py | 2,287 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "mediapipe.solutions",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.circle",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "math.deg... |
35871037365 | import time
import config
from SPI.modules.base_spi import EVENT_SI_PI_UPDATED
from models import Schedule, ServiceProvider, Station
from tests.conftest import create_mocks_manually
def test_schedule_create(setup_db, actor_setup, create_mocks):
session = setup_db
on_si_changed, on_pi_changed = create_mocks
... | ebu/radiodns-manager | RadioDns-PlugIt/tests/SPI_generator/test_11_schedule.py | test_11_schedule.py | py | 2,289 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "models.ServiceProvider.query.filter_by",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.ServiceProvider.query",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.ServiceProvider",
"line_number": 12,
"usage_type": "name"... |
30999697538 | """ System Module """
from django.test import TestCase
from decimal import Decimal
from django.contrib.auth.models import User
from products.models import Box
from .models import Order, OrderBox, Address, Payment
class SetupModelTestCase(TestCase):
"""
Base test case to be used in all models tests
"""
... | nandabritto/Regional_Taste | order/test_models.py | test_models.py | py | 3,918 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 17,
"usa... |
24573483828 |
import stripe
from django.shortcuts import render
from django.views.generic.base import TemplateView
from django.contrib.auth.models import Permission
from django.conf import settings
# Create your views here.
stripe.api_key = settings.STRIPE_TEST_SECRET_KEY
class OrdersPageView(TemplateView):
template_name ... | sharhan-alhassan/django-bookstore | orders/views.py | views.py | py | 1,189 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "stripe.api_key",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.STRIPE_TEST_SECRET_KEY",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 11,
"usage_type": "name"
},
... |
13327137385 | #### SHOULD PROBABLY MAKE AN AR45 FUNCS FILE TO STORE SOME OF THESE DEETS
from AR45_funcs import *
figdir
#### Load all
bin_list=sort(glob.glob('/home/isabela/Documents/cruises/OSNAP2020_oxygen_AR45/data/ctd/ar45_*'))
def getdist(lon0,lat0,lonex,latex):
distout=zeros(len(lonex))
for ii in range(len(lonex)):... | ilebras/OSNAP | OSNAP2020cruise/LoadCTD_2020_O2comp.py | LoadCTD_2020_O2comp.py | py | 9,179 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.colors.Normalize",
"line_number": 248,
"usage_type": "call"
},
{
"api_name": "matplotlib.colors",
"line_number": 248,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.colorbar.ColorbarBase",
"line_number": 250,
"usage_type": "call"
},
{... |
27738925188 | from flask import Flask, render_template, request, flash, session, url_for, redirect, g, abort, send_from_directory
from forms import ContactForm, SignupForm, SigninForm, PostForm, WalletForm
from flask.ext.mail import Message, Mail
from models import *
from werkzeug.security import generate_password_hash, check_passwo... | Transformt/peppe | routes.py | routes.py | py | 11,061 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.ext.mail.Mail",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_... |
15335464315 | import tensorflow.keras
import pygad.kerasga
import pygad
import pandas as pd
import matplotlib.pyplot as plt
def fitness_func(solution, sol_idx):
global X, Y, keras_ga, model
predictions = pygad.kerasga.predict(model=model,
solution=solution,
... | MFaizanTariq/NeuralProjectFinal | ann_ga.py | ann_ga.py | py | 3,029 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygad.kerasga.predict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygad.kerasga",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.keras.losses.BinaryCrossentropy",
"line_number": 15,
"usage_type": "call"
},
... |
73647226599 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 1 14:28:49 2019
@author: bazzz
"""
import numpy as np
from imageio import imread, imsave
import matplotlib.pyplot as plt
from scipy.ndimage.filters import gaussian_filter
np.random.seed(3929)
#IMAGE PROCESSING/DISPLAY FUNCTIONS
def dispImage(img,surf,t,a,b, paus = .5): ... | bhurat/Projects | Level Set Segmentation - Spring 2019/LSUpwindGrad.py | LSUpwindGrad.py | py | 4,377 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.clf",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
30133173310 | # coding:utf-8
import numpy as np
import scipy as sp
from sklearn.linear_model import orthogonal_mp_gram
import spectral
import cv2
class ApproximateKSVD(object):
def __init__(self, n_components, max_iter=10, tol=1e-6,
transform_n_nonzero_coefs=None):
"""
Parameters
------... | geodesit/spectral_ella | ksvd.py | ksvd.py | py | 4,831 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.sum",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randn",
... |
29195148699 | from django.urls import path
from . import views
urlpatterns = [
path('', views.MainView.as_view(), name='main'),
path('witcher', views.WitcherView.as_view(), name='witcher'),
path('wizard', views.WizardView.as_view(), name='wizard'),
path('witcher_school', views.WitcherSchoolView.as_view(), name='witc... | Frostdir/KursachBD | main/urls.py | urls.py | py | 1,349 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
25827551076 | from flask import Flask, render_template, request
from interference import MaskModel
from werkzeug import secure_filename
app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = 'uploaded'
img_path= 'C:\\Users\\Admin\\Desktop\\mask_rcnn-v2\\images\\12283150_12d37e6389_z.jpg'
# @app.route("/prediction", methods=['GET'])
d... | lenanh0803/mask_rcnn-v2 | app.py | app.py | py | 772 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "interference.MaskModel",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "flask.req... |
8161266589 | import streamlit as st
import numpy as np
st.header("""App to pick the largest number from three inputs""")
#Get Input
st.header('User Input Parameters')
def user_input_features():
No1 = st.number_input("Enter First Number",min_value=0,step=1)
No2 = st.number_input("Enter Second Number",min_value=0,step=1)
... | sander-cohen/example | main.py | main.py | py | 561 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "streamlit.header",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit.header",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.number_input",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "streamlit.numb... |
26630976058 | #!/usr/bin/env python
"""
"""
import dpkt
import datetime
import socket
import json
def read_config():
with open("pod.cfg") as f:
return json.load(f)
def ip_to_str(address):
"""Print out an IP address given a string
Args:
address: the string representation of a MAC address
Returns:
... | Mattlk13/pod | pcap/pod_pcap.py | pod_pcap.py | py | 1,886 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "socket.inet_ntop",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "dpkt.ethernet.Ethernet... |
43392688938 | import os
import logging
import subprocess
import math
import time
from string import Template
from parsl.execution_provider.execution_provider_base import ExecutionProvider
from parsl.execution_provider.slurm.template import template_string
import parsl.execution_provider.error as ep_error
logger = logging.getLogger(... | benhg/job-classification | data-generation/scripts/benisstupid.py | benisstupid.py | py | 10,346 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "subprocess.PI... |
24426884212 | import cv2
import numpy as np
import os
from pdf2image import convert_from_path
class Pdf2Jpg:
def __init__(self, base_output_path=None) -> None:
self.base_output_path = base_output_path
def get_file_paths(self, input_path):
file_paths = os.listdir(input_path)
file_paths = [f for f in... | ldidone/parisur_eci_uba | pdf2jpg.py | pdf2jpg.py | py | 1,468 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pdf2image.convert_from_path",
... |
33595531400 | import os
import pandas as pd
import datetime as dt
import subprocess as sp
from TData_lib import to_zorro_t6_compatible_csv, rename_files, make_new_name, extended_in
all_years = [2019, 2020, 2021]
coin_subset = []
take_all_source_files = True
convert_Source_to_zoroCSV = False
convert_zoroCSV_to_t6 = convert_Sou... | qtests/tardis_data | get_bin_spot.py | get_bin_spot.py | py | 2,381 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_nu... |
72157235560 | import torch
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader, random_split
import pandas as pd
from tqdm import tqdm
from ast import literal_eval
import matplotlib.pyplot as plt
class PlaneDataset(Dataset):
def __init__(self, filename):
self.data = pd.read_csv(filename)
def __le... | ikmartin/ising-clustering | oneshot/plane_ml.py | plane_ml.py | py | 3,577 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval... |
7667549546 | from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework.response import Response
from core.models import (
Category,
Brand,
Seller,
Warranty,
Discount,
Product
)
from core.api.serializers import (
CategorySerializer,
BrandSerializer,
Seller... | tasnimferdous/Qtec | core/api/views.py | views.py | py | 631 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "core.models.Product.objects.all",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "core.models.Product.objects",
"line_number": 27,
"usage_type": "attribute"
... |
39025554735 | from __future__ import print_function
import argparse
import os, sys
import random
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
from torch.autograd import Variable
import torch.nn.functional as F
import skimage
impor... | HKBU-HPML/FADNet | kitti_submission.py | kitti_submission.py | py | 5,496 | python | en | code | 127 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "os.pa... |
34768747926 | import zmq
import time
print('''#### pyzmq stats sink ####''')
## parameters
N_MSG_PLOT = 1000 # print one line after a certain amount of msgs received
context = zmq.Context()
SUB_socket = context.socket(zmq.SUB)
SUB_socket.connect("tcp://127.0.0.1:1235")
SUB_socket.setsockopt_string(zmq.SUBSCRIBE, "") # subscr... | flecksi/zmqstuff | python/pyzmq_stats_sink.py | pyzmq_stats_sink.py | py | 853 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "zmq.Context",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "zmq.SUB",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "zmq.SUBSCRIBE",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_numb... |
14408560327 | from ETL.transform import TransformaClientes,TransformaFornecedores,TransformaFTImpontualidade,TransformaFTVendas,TransformaProdutos,TransformaTempo,TransformaTiposVendas
from ETL.limpar import LimparBase
import timeit
from connection.connect import engine, metadata
import sqlalchemy as sa
dm_clientes = sa.Table('DM_C... | brennoliveira/ETL | Vendas/ETL/load.py | load.py | py | 5,340 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.Table",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "connection.connect.metadata",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "connection.connect.engine",
"line_number": 7,
"usage_type": "name"
},
{
"api_name"... |
17841783209 | from generators.prand import LCG_CLS
from scipy import stats
import matplotlib.pyplot as plt
import numpy as np
from collections import Counter
# class Game:
# """
# Deprecated class don't use/read
# """
# def __init__(self) -> None:
# results = {}
# sum_enabled = True
# def playe... | 11jolek11/simulation | first/dice.py | dice.py | py | 3,407 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "generators.prand.LCG_CLS",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": ... |
39793751309 | import json
import os
import SimpleITK as sitk
from pipeline.constants import DirectoryStructure as ds, FileNames as fn
from pipeline.logger import log
from pipeline.util import sitk_bbox
def slice_location(organ: str, segmentation_file: str = None) -> None:
if organ == 'multiecho_liver':
if ds.nifti.ex... | recoh/pipeline | pipeline/sanity.py | sanity.py | py | 5,510 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "pipeline.constants.DirectoryStructure.nifti.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pipeline.constants.DirectoryStructure.nifti",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pipeline.constants.DirectoryStructure",
"... |
74515539240 | from discord.ext import commands
import discord
import time
import psutil
class Ping (commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command()
async def ping(self,ctx):
start_time = time.monotonic()
msg = await ctx.send("📡 Pinging...")
latency = (time.mo... | Crypt06545/Discord-bot-Nexus- | commands/ping.py | ping.py | py | 1,367 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "time.monotonic",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.... |
26121509060 | from emailfinder.extractor import *
import csv,openpyxl
import pandas as pd
#Excel creation
excel=openpyxl.Workbook()
sheet=excel.active
sheet.title='Email List'
sheet.append(['Domain Name','Email'])
domain_list=[]
#read data from csv
with open('email.csv',encoding='utf-8-sig') as csvfile:
reader... | mrnithish/Prospectss-Core | Bulk Domain Email/BulkDomainEmail.py | BulkDomainEmail.py | py | 948 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 16,
"usage_type": "call"
}
] |
11894338382 |
from flask import Flask, render_template, request
import sqlite3 as sql
app = Flask(__name__)
@app.route('/')
def new_present():
return render_template('present.html')
@app.route('/present',methods = ['POST', 'GET'])
def present():
if request.method == 'POST':
try:
gift = request.form['gift'... | dipenich2019/scholarshp | env/populate_present.py | populate_present.py | py | 995 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
28136983495 | import os
from nuitka.importing.Importing import getPackageSearchPath, isPackageDir
from nuitka.plugins.Plugins import Plugins
from nuitka.utils.AppDirs import getCacheDir
from nuitka.utils.FileOperations import listDir, makePath
from nuitka.utils.Hashing import Hash, getStringHash
from nuitka.utils.Importing import g... | shahadcho/Advanced-Keylogger-using-nuitka-pyinstaller | forpyinstaller/env/Lib/site-packages/nuitka/Caching.py | Caching.py | py | 3,462 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "nuitka.utils.AppDirs.getCacheDir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "nuitka.uti... |
11201359404 | import psycopg2
from io import StringIO
import pandas as pd
class Connection():
def __init__(self):
# Подключение к БД отеля
self.conn = psycopg2.connect(
host="host",
database="database",
user="username",
password="password"
)
def collec... | katnotkat/university_projects | thesis/implementation/db_connection.py | db_connection.py | py | 4,678 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "psycopg2.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "psycopg2.DatabaseError",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.DatabaseError",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name"... |
1986654115 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from collections import Counter
import scipy.stats as stats
import random
# The get_arr function returns an aggregated array binned to the specified number of bins.
def get_arr(data_list, bin_size_num, rounding=0):
min_val = min(data... | Brendan6475/STAT463FinalProject | STAT463 Final Project/Final Project Bootstrap.py | Final Project Bootstrap.py | py | 6,097 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplo... |
8569164817 | from flask import Flask, render_template, request, redirect
import plotly
import plotly.graph_objs as go
from faceit_stats import player_stat
import json
import asyncio
app = Flask(__name__)
@app.route("/", methods=("GET", "POST"))
def post_form():
if request.method == "POST":
nickname = request.form['n... | vdilchenko/faceit_project | app.py | app.py | py | 1,442 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.request.form... |
24117023284 | from robobrowser import RoboBrowser
def is_id_form(form):
return "id" in form.attrs and form.attrs['id'] == "fm1"
class NetmagisClient(object):
url = None # Netmagis's URL
casurl = None # CAS's URL
br = None # the browser reference
c = None
s = None
def __init__(self, url, ca... | moobyfr/netmagis-tools | scripts/netmagisclient/netmagisclient.py | netmagisclient.py | py | 4,673 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "robobrowser.RoboBrowser",
"line_number": 19,
"usage_type": "call"
}
] |
29741245526 | from pykingas import MieKinGas, bcolors, suppress_stdout
from scipy.constants import Boltzmann
import numpy as np
import sys
# Exit codes 2***
# Second digit identifies test function, third and fourth digit identifies specific test
kin = MieKinGas.MieKinGas('AR,C1')
sigma = kin.sigma_ij[0, 0]
T, g, b = 300, 2, 7.5 *... | thermotools/KineticGas | pykingas/tests/mie_unittests.py | mie_unittests.py | py | 6,968 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "pykingas.MieKinGas.MieKinGas",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pykingas.MieKinGas",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.em... |
33300968425 | from pathlib import Path
import shutil
import numpy as np
from scipy.signal import argrelmin
import angle_test as AT
import create_inputs as CI
import rec_io
from rec_io import PATH_BASE
import rec_utils as utils
def all_angles():
clig, cprot, etot, edef, echem, einit, seq = AT.load_results(PATH_BASE.joinpath("... | jomimc/RecProt | Src/python/setup_mech.py | setup_mech.py | py | 2,098 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "angle_test.load_results",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rec_io.PATH_BASE.joinpath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rec_io.PATH_BASE",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "nu... |
4402586159 | """empty message
Revision ID: 3f43e3d39346
Revises: b22e5138a938
Create Date: 2021-03-17 22:59:29.105121
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3f43e3d39346'
down_revision = 'b22e5138a938'
branch_labels = None
depends_on = None
def upgrade():
# ... | app-sre/dashdotdb | migrations/versions/3f43e3d39346_.py | 3f43e3d39346_.py | py | 1,919 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "alembic.op.create_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.Integ... |
16905585105 | # Create your views here.
import json
from django.contrib.auth import login, authenticate
from django.contrib.auth.models import User
from django.http import JsonResponse
from django.views.generic.base import View
from rest_framework.authtoken.models import Token
from .auth import ExpiringTokenAuthentication
from .mo... | sincerely1/visio-system | 后端代码/user/views.py | views.py | py | 7,777 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.generic.base.View",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 20,
"usage_type": "call"
},
{
"api_na... |
21819959486 | '''
implemnetation of edge and normal losses
'''
import numpy as np
import tensorflow as tf
from .utils import sparse2tfsparse, TriNormalsScaled, TriNormals
def edge_loss_calc(pred, gt, vpe):
'''
Calculate edge loss measured by difference in the length
args:
pred: prediction, [batch size, num_vert... | qianlim/CAPE | lib/losses.py | losses.py | py | 4,252 | python | en | code | 289 | github-code | 18 | [
{
"api_name": "tensorflow.gather",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.norm",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflow.reduce_mean",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow.c... |
17940527642 | from PyQt5 import QtWidgets as QTW,\
QtGui as QTG, \
QtCore as QTC
import os, sys
import pickle as pk
import nosel, part0, part1, part2, success
DOW_TO_INT = {"mon": 0, # Day of the week to integer index
"tue": 1,
"wed": 2,
"thu": 3,
... | mqt0312/metit-scheduler | scheduler.py | scheduler.py | py | 7,251 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "nosel.Ui_Dialog",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "PyQ... |
3346150454 | from flask import jsonify, session
from api.dao.user import User
from api.util.utilities import Utilities
class UserHandler:
@staticmethod
def getAllUsers():
try:
users = User.getAllUsers()
result_list = []
for user in users:
result_list.append(Uti... | uprm-inso-4116-2020-2021-S1/semester-project-team-f | covid-tracking-app-backend/api/handler/user.py | user.py | py | 4,748 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "api.dao.user.User.getAllUsers",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "api.dao.user.User",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "api.util.utilities.Utilities.to_dict",
"line_number": 15,
"usage_type": "call"
},
{
... |
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