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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
28794327985 | from enum import Enum
from typing import Any, List, TypeVar
from PyQt5.QtCore import pyqtSignal, pyqtSlot, Qt
from PyQt5.QtGui import QImage, QPen, QColor
from PyQt5.QtWidgets import QComboBox
from Client.MyQt.ColorScheme import Color
from DataBase2 import Lesson, _Displayable, name, Group
from Domain.functools.Forma... | merdovash/VisitCount | Client/MyQt/Widgets/ComboBox/MComboBox.py | MComboBox.py | py | 4,906 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.TypeVar",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QComboBox",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QImage",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtG... |
24777060379 | #!/usr/bin/env python3
import getopt
import sys
import utils.tag_utils as tag_utils
from typing import List
def show_help():
""" 显示帮助信息 """
print("显示一个或多个文件的tag")
print()
program = sys.argv[0]
print(program + " <files>")
def print_arg(name, info): print(" %-28s\t%s" % (name, info))
print... | fanhongtao/tag-files | tag_show.py | tag_show.py | py | 1,234 | python | zh | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "utils.tag_utils.get_file_tags",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "utils.tag_uti... |
3897831830 | import cv2
import numpy as np
from matplotlib import pyplot as plt
from sklearn.cluster import KMeans
filename = 'dev/data01_dev/000007.jpg'
filename2 = 'dev/data01_dev/000056.jpg'
img = cv2.imread(filename)
img2 = cv2.imread(filename2)
bitand = cv2.bitwise_xor(img, img2)
# clone = img.copy()
#
# gray = cv2.cvtColor... | danielpclin/Deep-Learning-Final | test.py | test.py | py | 844 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.bitwise_xor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 2... |
37052436908 | import numpy as np
from torch import nn
from pyepo.model.omo import optOmoModel
from pyomo import environ as pe
from pyepo import EPO
class ShortestPathModelOMO(optOmoModel):
def __init__(self, grid):
self.grid = grid
self.arcs = self._getArcs()
super().__init__(solver="scip")
def _ge... | facebookresearch/LANCER | DFL/baselines/pyepo_classes.py | pyepo_classes.py | py | 4,226 | python | en | code | 20 | github-code | 21 | [
{
"api_name": "pyepo.model.omo.optOmoModel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pyepo.EPO.MINIMIZE",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "pyepo.EPO",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "pyomo.en... |
10450534722 | from collections import deque
import sys
input = sys.stdin.readline
# 1차시도 틀림
# 2차시도에서 고친 것 : 붙여넣기 하다가 틀린것 (k-1부분)
# 3차 시도에서 고친 것 : dirs1+dirs2 부분에서 대각으로 뛰지 않은 경우에는 k의 횟수가 줄어들면 안된다.
# 그렇다면, k가 존재하면, 무조건 대각으로만 뛰어야 하는가? 그건 아닌 것 같다.
# 따라서. k가 존재하면, 두 방식 모두 하고, 그렇지 않으면 한 방식만 하자.
# 아, 그 발견하자마자 해야한다. 엥 아니네.
# 흠... visit을 2차... | inkyu0103/BOJ | DFS , BFS/1600.py | 1600.py | py | 2,223 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 30,
"usage_type": "call"
}
] |
21289378625 | import io
import os
import numpy as np
import tensorflow as tf
from PIL import Image
from flask import Flask, request, jsonify
from keras import models
app = Flask(__name__)
model = models.load_model('sutaba-model.h5')
model.summary()
graph = tf.get_default_graph()
classes = [
'sutaba',
'ramen',
'other',... | mpppk/keras-flask | app.py | app.py | py | 1,874 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "tensorflow.get_defau... |
7721637322 | """Astronomical and physics constants.
This module complements constants defined in `astropy.constants`,
with gravitational paremeters and radii.
Note that `GM_jupiter` and `GM_neptune` are both referred to the whole planetary system gravitational parameter.
Unless otherwise specified, gravitational and mass paramet... | poliastro/poliastro | src/poliastro/constants/general.py | general.py | py | 18,038 | python | en | code | 806 | github-code | 21 | [
{
"api_name": "astropy.constants.iau2015.M_earth",
"line_number": 108,
"usage_type": "name"
},
{
"api_name": "astropy.constants.iau2015.M_jup",
"line_number": 109,
"usage_type": "name"
},
{
"api_name": "astropy.constants.iau2015.M_sun",
"line_number": 110,
"usage_type": "... |
5945817689 | import time, json
import urllib.request as curl
from urllib.parse import urljoin
from tresult import TestResult
def ajax(paragraph, driver):
url = urljoin(driver.current_url, f'/text/data?paragraph={paragraph}')
page = curl.urlopen(url)
return json.loads(page.read())
def check_paragraph(driver, para, expe... | jenydu/Restify | assignments/A3/a3selftest/paragraph/all.py | all.py | py | 1,703 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "urllib.parse.urljoin",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "json.loads",
... |
72249621173 | import shutil
from PyQt5.QtCore import QThread, pyqtSignal
from requests import get
from os import path, remove
from sys import platform, executable
from zipfile import ZipFile
from GUI.Strings import Strings
from API.CurseAPI import CurseAPI
from Utils.Utils import parseSemanticVersion, msg_box
from GUI.DownloadDi... | OpenMineMods/OpenMineMods | Utils/Updater.py | Updater.py | py | 2,779 | python | en | code | 28 | github-code | 21 | [
{
"api_name": "GUI.Strings.Strings",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "API.... |
26453091953 | """ code references: https://github.com/ignacio-rocco/ncnet and https://github.com/gengshan-y/VCN """
import torch
import torch.nn as nn
class CCA(torch.nn.Module):
def __init__(self, kernel_sizes=[3, 3], planes=[16, 1]):
super(CCA, self).__init__()
num_layers = len(kernel_sizes)
nn_modul... | dahyun-kang/renet | models/cca.py | cca.py | py | 2,935 | python | en | code | 98 | github-code | 21 | [
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.ReLU",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_n... |
18570689771 | import numpy as np
import hickle
def get_concept_encoding(i, j):
file_name = './enc_concept_' + str(int(i / 10000)) + '.hkl'
embedding = hickle.load(file_name)
index_start = i % 10000
index_end = j % 10000
if (int(i / 10000) == int(j / 10000)):
return embedding[index_start:index_end]
e... | aara11/Cross-Domain-Bindings-in-Medical-Images | evaluate.py | evaluate.py | py | 1,902 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "hickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "hickle.load",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_n... |
74465044534 | import imaplib, smtplib, email, re, sqlalchemy, hashlib, time
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from lxml import etree
###### IMAP
def imapConnect(login):
try:
mail = imaplib.IMAP4_SSL('imap.gmail.com')
mail.login(login['username'],login['password'])
pass
exc... | f-f/mailMyPy | mmplib.py | mmplib.py | py | 4,921 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "imaplib.IMAP4_SSL",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "email... |
14962248453 | import json
import tkinter as tk
import tkinter.font as tkFont
import tkinter.messagebox
from tkinter import *
from tkinter import Radiobutton
from add_manual_allure import *
data = []
class App:
def __init__(self):
self.root = tk.Tk()
# Настройка названия окна
self.root.ti... | Agitik/ManualTestsInAllure | gui_input.py | gui_input.py | py | 14,432 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "tkinter.Tk",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tkinter.font.Font",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tkinter.font",
"line_n... |
27688729829 | import os
import time
from dotenv import find_dotenv, load_dotenv
load_dotenv(find_dotenv())
import gradio as gr
import qdrant_client
import requests
import xmltodict
from bs4 import BeautifulSoup
from langchain.chains import ConversationalRetrievalChain
from langchain.chat_models import ChatOpenAI
from langchain.doc... | Shubham-Hazra/Brance | brance.py | brance.py | py | 6,931 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "dotenv.find_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "langchain.chat_models.C... |
15277352283 | import snap
import random
random.seed(10)
SOGLIA = 0.40
PATH = "C:/Users/ilcai/Downloads/Progetto_RS/email-Eu-core.txt"
Lista = []
#LoadedGraph = snap.LoadEdgeList(snap.TNEANet, "CA-GrQc.txt", 0, 1,)
# LoadedGraph.Dump()
for j in range(1,10):
S = snap.TNEANet.New()
LoadedGraph = snap.LoadEdgeL... | haxkadc/TargetSetSelection | TSS/TSS-Probabilistico.py | TSS-Probabilistico.py | py | 4,192 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.seed",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "snap.TNEANet.New",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "snap.TNEANet",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "snap.LoadEdgeList",
... |
28743594672 | from django.urls import path
from personal.views import IndexView, ResponseList, ResponseDelete, accept, AccountDetailActivate
urlpatterns = [
path('accounts/', IndexView.as_view(), name='account'),
path('accounts/responses/', ResponseList.as_view(), name='responses'),
path('accounts/responses/<int:pk>/de... | zNiffler/D19.7 | personal/urls.py | urls.py | py | 535 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "personal.views.IndexView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "personal.views.IndexView",
"line_number": 6,
"usage_type": "name"
},
{
"api_name"... |
6046351140 | import PIL
from PIL import Image
import numpy as np
import torch
import torchvision
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
from torch import nn, optim
import time
import copy
def imshow(inp, title=None):
inp = inp.numpy().transpose((1,2,0))
mean = np.array([0.485, 0.456, 0... | LiorOhana94/Pneumonia-Detection-System | old/all.py | all.py | py | 1,664 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.clip",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
"li... |
14161992196 | # Python XML Parsing
import xml.etree.ElementTree as ET
root = ET.parse('sample.xml').getroot()
#print(root)
tag = root.tag
print(tag)
# get all attributes
# attributes = root.attrib
# print(attributes)
# print(type(attributes))
# # extract a particular attribute
# year = attributes.get('year')
# print(... | asdf247/Python101 | lessons/myapp.py | myapp.py | py | 939 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 3,
"usage_type": "name"
}
] |
74090790771 | from django.contrib.auth.mixins import LoginRequiredMixin
from django.urls import reverse_lazy
from django.views.generic import ListView, CreateView, UpdateView, DetailView, DeleteView
from teachers.forms import CreateTeacherForm, UpdateTeacherForm
from teachers.models import Teacher
class ListTeacherView(ListView):... | d1squit/django_lms | teachers/views.py | views.py | py | 1,064 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "teachers.models.Teacher",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 14,
"usage_type": "na... |
10467557132 | import os
from shutil import copy2
from django.conf import settings
from django.test import TestCase
from rest_framework.test import APIRequestFactory
from rest_framework import status
from django.test import TestCase, Client
from django.urls import reverse
from django.core.files import File
from django.core.files.upl... | nikitavlaev/image-resizer | image_resizer/resizer_main/tests.py | tests.py | py | 2,888 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.IMAGES_DIR",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django... |
43037896907 | from collections import deque
# 幅優先探索
def main():
while True:
w, h = map(int, input().split())
r_end = 2*h-1
c_end = 2*w-1
if w == 0 and h == 0:
return
grid = [input() for _ in range(r_end)]
solver(grid, h, w)
def solver(grid, r_end, c_end):
st_nod... | batamorphism/coding | Python/AtCoder/old/Amazing_Mazes_1129.py | Amazing_Mazes_1129.py | py | 1,384 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 35,
"usage_type": "call"
}
] |
18117696384 | # -*- coding:utf-8 -*-
from django import forms
from apps.bill.models import CategoryEntity
from apps.common.utils import isNoneOrEmpty
__author__ = 'ngnono'
class CategoryForm(forms.ModelForm):
class Meta:
model = CategoryEntity
fields = ['Name', 'Description']
def __init__(self, *args, **k... | ngnono/org.ngnono.fmnote | apps/category/forms.py | forms.py | py | 708 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "apps.bill.models.CategoryEntity",
"line_number": 11,
"usage_type": "name"
},
{
"api_name":... |
14535148995 | #!/usr/bin/env python3
"""AWS EC2 instance manager for Minecraft servers. Requires IAM user
access key associated with an AWS account. To use a specific command,
the necessary permissions must be attached to the IAM group that the
IAM user is a part of.
"""
import sys
from collections import namedtuple
#import pprint
... | TakingItCasual/ec2mc | ec2mc/__main__.py | __main__.py | py | 3,040 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "ec2mc.commands.configure_cmd.Configure",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "ec2mc.commands.configure_cmd",
"line_number": 37,
"usage_type": "name"
},
{... |
35948081623 | import numpy as np
from sklearn.linear_model import LinearRegression
X = np.array([171,151,124,134,156])
y = np.array([80,60,45,50,65])
clf = LinearRegression()
clf.fit(X.reshape(-1,1),y)
a=clf.predict([[133]])
print(a)
| vivek6429/ml | day2/simple_linear_regression_sklearn.py | simple_linear_regression_sklearn.py | py | 222 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 7,
"usage_type": "call"
}
] |
70727025334 | import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
dataset = pd.read_csv("/Users/bhuvanrj/Desktop/git upload/UberDS.csv")
X = dataset.dispatching_base_number
Y = dataset.active_vehicles
Z = dataset.trips
D = dataset.date
plt.style.use("ggplot")
plt.subplot(211)
plt.bar(X,Y,label="BnvAv")
pl... | BHUVAN-RJ/python-aiml-project | Uber_dataset_model_comparision/datavisualisation.py | datavisualisation.py | py | 569 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name"... |
26577364570 | #!/usr/bin/python3
import typer
from converter import print_ascii_image, write_ascii_image
from cli_option_processors import (
PaletteCode,
Color,
get_palette_from_code_if_empty_palette,
CHARACTER_COLORING_FUNCTIONS,
)
app = typer.Typer()
# Fontratio option
def font_ratio_callback(value: float) -> fl... | monscodex/ascii_image | ascii_image.py | ascii_image.py | py | 2,938 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "typer.Typer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typer.BadParameter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "typer.BadParameter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typer.Option",
... |
18023495267 | import random
import numpy as np
import json
from src.model.loss_functions import *
from src.model.utils import realEPE
from torch.utils.data import DataLoader
from livelossplot import PlotLosses
import GPUtil
import time
import datetime
from src.model.models import estimate, device
def set_seed(seed):
"""
Us... | erizmr/UnLiteFlowNet-PIV | src/train/train_functions.py | train_functions.py | py | 7,747 | python | en | code | 38 | github-code | 21 | [
{
"api_name": "random.seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.manu... |
4364568433 | # -*- coding: UTF-8 -*-
#!/usr/bin/python3
"""
a much Better Cross-lingual variational autoencoder :)
"""
#************************************************************
# Imported Libraries
#************************************************************
import numpy as np
import torch
import torch.nn as nn
import torch.... | cambridgeltl/mling_sdgms | nn_model/xlingva.py | xlingva.py | py | 6,268 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "bva.BVA",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "bva.BVA",
"line_number": 31,
"usage_type": "argument"
},
{
"api_name": "xling_embedding_layer.XlingEmbeddingLayer",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "encoder... |
9666649807 | from download import Downloader
from parse import Parser
from data import some_logic
def process(url, web_page_path = None, data_path = None):
downloader = Downloader(url, {})
web_page_file = downloader.get_html()
downloader.save(web_page_path)
parser = Parser(web_page_path)
parser.parse()
par... | KochyanLV/cmc-parser | __init__.py | __init__.py | py | 556 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "download.Downloader",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "parse.Parser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "data.some_logic",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "data.some_logic",
... |
1997613221 | # -*- coding: utf-8 -*-
import requests
import logging
import traceback
import time
import re
#获取 encrymobile，用于抽奖
def get_encryptmobile(client):
page = client.post('https://m.client.10010.com/dailylottery/static/textdl/userLogin')
page.encoding='utf-8'
match = re.search('encryptmobile=\w+',page.text,flag... | LxDebug/UnicomPlus | TaskList/DailyLuck.py | DailyLuck.py | py | 1,570 | python | en | code | 46 | github-code | 21 | [
{
"api_name": "re.search",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "traceback.format_exc",
"line_nu... |
10355884383 | import pygame,random
pygame.init()
import pygame
pygame.init()
screen = pygame.display.set_mode([550,550])
pygame.display.set_caption("Screen Proportions")
#Set up global variables
def collideRectRect (x1,y1,w1,h1,x2,y2,w2,h2):
return x1 <= x2+ w2 and x1 + w1 >= x2 and y1 <= y2 + h2 and y1 + h1 >= y2
... | diligentaura/oldpypractice | obstacleoof.py | obstacleoof.py | py | 4,524 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"li... |
27492680021 | from django.urls import path # -2c
from . import views # -2c
from .views import PostCreateView, PostUpdateView, PostDeleteView # -27b, 28b, 29b
urlpatterns = [
path('', views.home, name= 'home_url'), # -2c
path... | MDsona/blog-django-ar | src/blog/url.py | url.py | py | 854 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.home",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.about",
"lin... |
30855260638 | import os
import time
import sqlite3
from datetime import datetime
from urllib.parse import parse_qs
from subprocess import Popen, PIPE
from http.server import BaseHTTPRequestHandler
MINIMUM_DAEMON_TIME_INTERVAL = 10
class MathmakerHTTPRequestHandler(BaseHTTPRequestHandler):
def do_GET(self):
from mathma... | nicolashainaux/mathmaker | mathmaker/lib/tools/request_handler.py | request_handler.py | py | 8,581 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "mathmaker.settings.init",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mathmaker.settings",
"line_number": 20,
"usage_type": "name"
},
{
"api... |
70638431414 | from flask_mongoengine import MongoEngine
from flask import Flask
VERSION='v1'
HOSTNAME='localhost'
PORT=5000
db = MongoEngine()
def create_app(*args,**kwargs):
app = Flask(__name__)
app.config.from_pyfile('settings.py')
app.config.update(kwargs)
db.init_app(app)
from opnr.views import opnr_ap... | deeshank/go-server | application.py | application.py | py | 376 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask_mongoengine.MongoEngine",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "opnr.views.opnr_app",
"line_number": 20,
"usage_type": "argument"
}
] |
31465148280 | from django.contrib import admin
from django.contrib.admin.views.main import ChangeList
from django.http import Http404
from django.shortcuts import get_object_or_404
from commons.urls import querystring
class HierarchyModelAdmin(admin.ModelAdmin):
parent_model = None
parent_url_arg = None
parent_model_f... | arturgoms/billogram-challenge | src/commons/admin/admin.py | admin.py | py | 5,299 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "commons.urls.querystring",
"line_number": 23,
"usage_type": "call"
},
{
"... |
2850130713 | from typing import Union, Callable
from casadi import MX, SX, integrator as casadi_integrator, horzcat, Function
from .integrator import RK1, RK2, RK4, RK8, IRK, COLLOCATION, CVODES
from ..misc.enums import ControlType
class OdeSolverBase:
"""
The base class for the ODE solvers
Attributes
---------... | AurelienRenou/Stage_link_home_lab | bioptim-master/bioptim-master/bioptim/dynamics/ode_solver.py | ode_solver.py | py | 12,785 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "misc.enums.ControlType.CONSTANT",
"line_number": 129,
"usage_type": "attribute"
},
{
"api_name": "misc.enums.ControlType",
"line_number": 129,
"usage_type": "name"
},
{
"api_name": "casadi.horzcat",
"line_number": 130,
"usage_type": "call"
},
{
"api... |
27037244113 | # BERT를 이용한 네이버 영화 감성분석
import pandas as pd
import numpy as np
import tensorflow as tf
from transformers import BertTokenizer, TFBertModel
from tensorflow.keras.layers import Dense, Input
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
from sklearn.model_selection import train_tes... | dobbytk/NLP_study | Multicampus/NLP/day40/nsmc_bert_kor_base.py | nsmc_bert_kor_base.py | py | 4,385 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "transformers.BertTokenizer.from_pretrained",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "transformers.BertTokenizer",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
... |
25771857437 | # -*- coding: utf-8 -*-
from tempfile import NamedTemporaryFile
import uuid
from crontab import CronTab
from ..types import ScheduleContext, ScheduleInfo
__all__ = ["CronScheduler"]
class CronScheduler:
name = "cron"
description = "Cron scheduler for local repeatable executions"
version = "0.1.0"
s... | chaostoolkit-attic/chaoshub-archive | app/chaoshubdashboard/experiment/scheduler/cron.py | cron.py | py | 1,424 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "crontab.CronTab",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "types.ScheduleContext",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "uui... |
31224323263 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 5 22:32:00 2020
@author: hamishgibbs
"""
'''
Using existing info map clusters for convenience - will update when possible
'''
import pandas as pd
from igraph.clustering import compare_communities
#%%
argv = ['a', '/Users/hamishgibbs/Documents/Covi... | hamishgibbs/facebook_mobility_uk | src/analysis/cluster_comparison/nmi_comparison.py | nmi_comparison.py | py | 1,331 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "igraph.clustering.compare_communities",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pa... |
18380953231 | import os
import sqlite3
import pytest
import requests
from wazuh_testing.fim import WAZUH_PATH
from wazuh_testing.tools.configuration import check_apply_test
from wazuh_testing.tools.configuration import get_api_conf
# Marks
pytestmark = pytest.mark.server
# Variables
path = os.path.dirname(os.path.abspath(__file... | wazuh/wazuh-qa | tests/integration/test_api/test_config/test_rbac/test_rbac_mode.py | test_rbac_mode.py | py | 4,772 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "pytest.mark",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"... |
21565967028 | #!/usr/bin/env python
from __future__ import print_function
import argparse
import os
import textwrap
import numpy as np
import tifffile
def load_ge2(
filename, image=0, shape=(2048,2048), dtype='uint16', byteoffset=8192,
byteorder='=', bytegap=0, summed=False, **kwargs
):
"""reads a binary image fr... | ddale/hedm-conda-recipes | 3dxrd-scripts/ge2tiff.py | ge2tiff.py | py | 4,330 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.dtype",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.prod",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.frombuffer",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.frombuffer",
"line_... |
24827874478 | # coding: utf-8
"""
Create a chemical structure-searchable database for use with Common Groups.
This script creates a chemical database with ~720,000 structures from the
U.S. Environmental Protection Agency's CompTox Dashboard public dataset.
Set up the database so that it can be used for substructure searching via ... | akokai/commongroups | tools/construct_database.py | construct_database.py | py | 10,148 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.text",
"line_nu... |
32429698811 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
class lorenz:
def __init__(self):
self.dt = 0.01 #default step size
self.T = 100 # default final time
self.N = int(self.T/self.dt) # default number of time steps
self.X = np.zeros((self.N,... | jeanlaunay1998/FYP | lorenz_attractor.py | lorenz_attractor.py | py | 1,946 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": ... |
20532253831 | import h5py
import subprocess
import argparse
import train
import time
import os
import sys
import glob
import re
import matplotlib.pyplot as plt
import numpy as np
parser = argparse.ArgumentParser(description='')
parser.add_argument("-folder",default='./opt/tmp/')
parser.add_argument("-per",default=30,type = int)
pa... | li012589/NeuralRG | plot.py | plot.py | py | 4,152 | python | en | code | 75 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
4118511449 | import numpy as np
from matplotlib import pyplot as plt
from .autocorr import *
from .soiaporn_functions import *
F_T_MIN = 0.0
F_T_MAX = 0.5
f_MIN = 0.0
f_MAX = 1.0
__all__ = ['MetropolisWithinGibbs', 'InputData', 'InputParameters']
class MetropolisWithinGibbs():
"""
Manage Metropolis-within-Gibbs sampl... | cescalara/soiaporn_model | gibbs_implementation/metropolis_within_gibbs/metropolis_within_gibbs.py | metropolis_within_gibbs.py | py | 9,363 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.uniform",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.uniform",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
73043139252 | import importlib
# Plugins package.
_PACKAGE = 'plugins'
# Map of plugin name -> imported python module object for that plugin.
_PLUGINS = {}
def GetPlugin(name):
module = _PLUGINS.get(name, None)
if module is None:
module = importlib.import_module('%s.%s' % (_PACKAGE, name))
if not getattr(m... | d1zzy/gogbot | lib/plugin_loader.py | plugin_loader.py | py | 462 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "importlib.import_module",
"line_number": 12,
"usage_type": "call"
}
] |
42120550322 | from django.shortcuts import render,redirect
from .models import Student,Article,Publication
from .forms import StudentForm
def students(request):
students = Student.objects.all()
context={'students': students}
return render(request,'testapp/Scrollable-student.html',context)
def articles(request):
... | Sunil-Chakraborty/testProject | testapp/views.py | views.py | py | 1,739 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Student.objects.all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.Student.objects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "models.Student",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "dj... |
3408585561 | import numpy as np
from msu_esd import cross_flow_unmixed
from scipy.interpolate import interp1d
# Hot side (air)
Tin_h, Tout_h = 468, 220 # F
mdot_h = 4.7 # lbm/sec
cp_h = 0.244 # btu/(lbm F)
q = mdot_h*cp_h*(Tin_h - Tout_h)
rho_h = 0.05 # lbm/ft^3
mu_h = 1.672e-5 # lbm/(ft sec)
Pr_h = 0.701
# Cold side (water)... | gabemorris12/msu_esd | Project 2/heat_exchanger.py | heat_exchanger.py | py | 1,392 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate.interp1d",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "msu_esd.cross_flow... |
74935111092 | import os
import json
from django.db import transaction
from api.models import Director, Distributor, Location, Movie, Actor, Writer, ProductionCompany
def empty_database():
Director.objects.all().delete()
Distributor.objects.all().delete()
Location.objects.all().delete()
Movie.objects.all().delete()
Actor.object... | gurpreetsingh00885/moviemap | api/helpers.py | helpers.py | py | 1,953 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "api.models.Director.objects.all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "api.models.Director.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "api.models.Director",
"line_number": 7,
"usage_type": "name"
},
{
... |
25876662522 | from django.urls import path
from . import views
urlpatterns = [
path(
'search/<str:keyword>',
views.SearchAPIView.as_view(),
name='search_api'
),
path(
'suggest/<str:keyword>',
views.SuggestAPIView.as_view(),
name='suggest_api'
),
path(
're... | BabyThor/bitcoin | search_service/api/urls.py | urls.py | py | 678 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
32347995526 | from typing import List
class Solution:
def isValidSudoku(self, board: List[List[str]]) -> bool:
visited = set()
for row in range(9):
for col in range(9):
value = board[row][col]
if value == ".":
continue
... | jsparadacelis/exercising | arrays-and-hashing/valid_sudoku/v3.py | v3.py | py | 1,036 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
11741874697 | import json
from src.tests.data.data_reader import read
from unittest import TestCase, mock
from src.handlers.universe_overview.get_universe_overview_handler import handler
class TestGetUniverseOverviewHandler(TestCase):
def setUp(self):
self.universe_overview = read("sample_universe_overview.json")
... | kpinetwork/backend | src/tests/handlers/universe_overview/get_universe_overview_handler_test.py | get_universe_overview_handler_test.py | py | 2,092 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "src.tests.data.data_reader.read",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "src.tests.data.data_reader.read",
"line_number": 10,
"usage_type": "call"
},
{
"a... |
70558016374 | # -*- coding: utf-8 -*-
# @author: Dasheng Fan
# @email: fandasheng1999@163.com
"""
For digital difference correction
The code is very stupid, but it works well.
为了清晰的理顺思路，本代码使用汉语注释
和一般的数字微分纠正步骤不同，使用了特殊的方法
投影矩阵参数位于'../data/ex4/DSC00437.txt'中
DEM和原始图像都在ex4文件夹中
"""
import numpy as np
import numba
from ... | Dash-RSer/Corner_Detecting-Image_maching-and-Digital_Difference_Correction | ddc/ddc.py | ddc.py | py | 7,683 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "utils.rasterio.readimage",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "utils.rasterio",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "utils.gray_processing.gray_processing",
"line_number": 29,
"usage_type": "call"
},
{
"api... |
33713520317 | '''
MIT License
Copyright (c) 2018 yiwang
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish... | sudhamsugurijala/Facial-Reconstruction | server/functs/reconstruct.py | reconstruct.py | py | 4,651 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "data_store.options.test_options.TestOptions",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name"... |
44792476125 | from pynubank import Nubank
from excel_writer import write_excel
from pathlib import Path
import logging
def update_credit_balance_data(nu: Nubank, table_path: str):
logger = logging.getLogger(__name__)
credit_balance = nu.get_credit_card_balance()
logger.info(f"Successful credit card balance request")
... | fbsabalete/nubank_spendings | credit_balance.py | credit_balance.py | py | 593 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pynubank.Nubank",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "excel_writer.write_excel... |
71391050292 | import math
import torch
from torch import nn
from torch.autograd import Variable
# from .utils import load_state_dict_from_url
# model_urls = {
# 'efficientnet_b0': 'https://www.dropbox.com/s/9wigibun8n260qm/efficientnet-b0-4cfa50.pth?dl=1',
# 'efficientnet_b1': 'https://www.dropbox.com/s/6745ear79b1ltkh/eff... | chrisqqq123/FA-Dist-EfficientNet | models/efficientnet.py | efficientnet.py | py | 17,829 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "torch.sigmoid",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.nn.Sequential",
... |
9801114926 | # coding:utf-8
import wx
import wx.richtext
from Utils import gl
__author__ = 'Tacey Wong'
__date__ = "2016年元月"
###########################################################################
##关于
###########################################################################
class MyAbout(wx.Panel):
def __init__(self... | TaceyWong/wordcloud_gui | MyUI/MyAbout.py | MyAbout.py | py | 4,230 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "wx.Panel",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "wx.Panel.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "wx.Panel",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "wx.ID_ANY",
"line_n... |
21362379934 | """ A top-level experimental script that run 100 iterations (on 2 cores) of
the RW example (see simfMRI.exp_examples.RW()). """
import functools
from simfMRI.exp_examples import RW
from simfMRI.analysis.plot import hist_t_all_models
from simfMRI.runclass import Run
class RunRW100(Run):
""" An example of a 100 it... | parenthetical-e/simfMRI | bin/rw100.py | rw100.py | py | 1,654 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "simfMRI.runclass.Run",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "simfMRI.runclass.Run.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "simfMRI.runclass.Run",
"line_number": 14,
"usage_type": "name"
},
{
"api_name":... |
37722653181 | import math
from django.shortcuts import render, redirect
from .models import *
from django.views.decorators.csrf import csrf_protect
def Client_0_list(request):
countAll=countTable('clientinfo')[0]
cntPerPage=10
totalPage= math.ceil(countAll/cntPerPage)
try:
page = int(request.GET['page'])
... | KihaJeong1994/tingAdminPage | adminPage/views.py | views.py | py | 15,781 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.ceil",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",... |
72879561973 | import time
start = time.time()
import datetime
import dash_html_components as html
import numpy as np
import PIL
from PIL import Image,ImageOps
import base64
from io import BytesIO
import dash_bootstrap_components as dbc
import tensorflow as tf
from tensorflow.keras.models import model_from_json
print("------- %s l... | dishan3x/Dash-canopy-dive | utils/image_utils.py | image_utils.py | py | 16,007 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "time.time",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 39,
"... |
9710617860 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 10 10:26:42 2022
@author: Youngbin Moon (y.moon@unibas.ch)
"""
import csv
import matplotlib.pyplot as plt
import argparse
"""
Aim : get a barchart of the number of polyA sites in each sample.
"""
def read_counts(input_directory):
"""
Parameters
-------... | zavolanlab/SCINPAS | src/get_barchart_numpolyA_nextflow.py | get_barchart_numpolyA_nextflow.py | py | 3,446 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
2366804879 | from sys import stdin as s
from collections import deque
s=open("input.txt","rt")
n= int(s.readline())
top_list = list(map(int,s.readline().split()))
dq=deque()
stack=[0]*n #0으로 초기화된 배열 선언
def razor(dq):
for i in range(len(top_list)):
while dq and dq[-1][0]<top_list[i] : dq.pop()
if dq:... | heekyoung2000/jungle-algorithm | second/stack/2493_ag.py | 2493_ag.py | py | 435 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "sys.stdin.readline",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sys.stdin.readline",
"line_nu... |
23617215852 | import asyncio
import os
import subprocess
import sys
import time
from unittest import IsolatedAsyncioTestCase
from ahk import AsyncAHK
from ahk import AsyncWindow
class TestWindowAsync(IsolatedAsyncioTestCase):
win: AsyncWindow
async def asyncSetUp(self) -> None:
self.ahk = AsyncAHK()
self.... | spyoungtech/ahk-rewrite | tests/_async/test_window.py | test_window.py | py | 5,192 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.IsolatedAsyncioTestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "ahk.AsyncWindow",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "ahk.AsyncAHK",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "subproc... |
8064679577 | from flask import Flask, request
from flask import Response
from werkzeug.contrib.fixers import ProxyFix
from flask import request
import sys
import os
import uuid
import base64
import json
import time
import subprocess
from subprocess import check_output, CalledProcessError, STDOUT
import shlex
import re
from array im... | Halkyon64/docker-collection | ffmpeg/app.py | app.py | py | 2,434 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "shlex.split",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_... |
37218264737 | from openpyxl import Workbook, load_workbook
from selenium import webdriver
import string
import time
from unidecode import unidecode
estados = {"11": "RO",
"12": "AC",
"13": "AM",
"14": "RR",
"15": "PA",
"16": "AP",
"17": "TO",
"21": "MA",
... | kslima/bootTransp | consulta_placa.py | consulta_placa.py | py | 3,167 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "unidecode.unidecode",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "time... |
37782123705 | """A thin wrapper of ROS clients."""
import time
import logging
import numpy as np
import rospy
import actionlib
from actionlib_msgs.msg import GoalStatus
import articulated.srv
import articulated.msg
logger = logging.getLogger(__name__)
class ImpedanceRegulation:
def __init__(self, prefix="franka_"):
... | Schule007/pixiu | packages/articulated/src/articulated_franka/robot.py | robot.py | py | 3,934 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rospy.ServiceProxy",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "articulated.srv.srv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "articul... |
73728218933 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import multiprocessing # To make python setup.py test happy
import os
import shutil
import subprocess
from distutils.command.clean import clean
from setuptools import find_packages
from setuptools import setup
multiprocessing
PACKAGE = 'ndscheduler'
__version__ = None
... | Nextdoor/ndscheduler | setup.py | setup.py | py | 2,540 | python | en | code | 1,071 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "distutils.command.clean.clean",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "distutils.com... |
9295268413 | # -*- coding: utf-8 -*-
import tensorflow as tf
assert tf.test.is_gpu_available()
"""# Experiment Notes
- 1 vs 2.5 upper bound (1 seems to work fine)
- Deeper vs more filters
- 8 as lowest with 32 filters ( ~750k parameters) gave good results around 900 epochs for overfitting test of 3. Didn't generate all 3 equall... | waynchi/SC-Net | sc_cnn_cifar_grayscale.py | sc_cnn_cifar_grayscale.py | py | 23,674 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tensorflow.test.is_gpu_available",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "tensorflow.test",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name":... |
10245545961 | import os
import shutil
from colorama import init, Fore, Style
init()
print(Fore.GREEN + "Change to green text for move.")
def move_videos(source_dir, dest_dir):
for root, dirs, files in os.walk(source_dir):
for file in files:
if file.endswith((".mp4", ".mov", ".mkv", ".ts" "m4v")):
... | nprasad2077/scripts | src/extract_vid.py | extract_vid.py | py | 1,200 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "colorama.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "colorama.Fore.GREEN",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.walk",
"line... |
6543444144 | import pandas as pd
import nltk
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_selection import chi2
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTran... | paz97/Twitter-Mood-Classifier | analysis.py | analysis.py | py | 5,194 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.read_table",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pandas.concat",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extrac... |
32470196931 | import sys, warnings, types, copy, string, os, time, stat
from math import pi, sin, cos, tan
def wr_long(f, x):
'''
"Internal; write a 32-bit int to a file in little-endian order."
-<https://svn.python.org/projects/python/trunk/Lib/py_compile.py>
License: (PYTHON SOFTWARE FOUNDATION LICENSE VERSION
... | Poikilos/flowchartpython | flowchartpython/sourceFile.py | sourceFile.py | py | 220,327 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "importlib.util.MAGIC_NUMBER.hex",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "importlib.util",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_letters",
"line_number": 42,
"usage_type": "attribute"
},
{
"api... |
74445862772 | from flask import Flask, render_template, redirect, flash, request
from utils.dte_scraper import *
from utils.blogs import *
from flask import url_for
from flask_cors import CORS
import pandas as pd
import numpy as np
# Configure application
app = Flask(__name__)
CORS(app)
@app.route('/', methods=['POST', 'GET'])
def... | GrayFlash/carbon_footprint_estimator | app.py | app.py | py | 1,859 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.render_templa... |
43971843387 | """
Model contains set of functions to load pretrained model,
make prediction with loaded model and
functions that process input data to a format that model exprects.
Model - Sentiment Analysis LSTM Model
"""
import os
import re
import pickle
import torch
import torch.nn as nn
import numpy as np
import nltk
from nl... | bdnf/Application-Deployment-on-EKS-Cluster-using-Jenkins | app/predict.py | predict.py | py | 5,104 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
10507708071 | import json
import pytest
import requests
from hamcrest import assert_that, has_item
from interface.service.tag import Tag
class TestTag:
def setup_class(self):
# todo：数据清理的过程，把测试数据清空或者还原
self.tag = Tag()
self.tag.get_token()
self.origin_data = self.tag.list().json()["tag_group... | zhousk/hogwarts | interface/service/test_tag.py | test_tag.py | py | 7,302 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "interface.service.tag.Tag",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "py... |
2700806217 | import tempfile
import numpy as np
import h5py
from pyscf.pbc import lib as pbclib
#einsum = np.einsum
einsum = pbclib.einsum
# This is restricted (R)CCSD
# Ref: Hirata et al., J. Chem. Phys. 120, 2581 (2004)
### Eqs. (37)-(39) "kappa"
def cc_Foo(t1,t2,eris):
nocc, nvir = t1.shape
foo = eris.fock[:nocc,:no... | sunchong137/pyscf_2017 | cc/rintermediates.py | rintermediates.py | py | 6,937 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pyscf.pbc.lib.einsum",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyscf.pbc.lib",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.complex",
... |
26489952850 | """
Tests for the graph object.
"""
import numpy as np
import scipy as sp
import scipy.sparse
import networkx
import pytest
from context import stag
import stag.graph
import stag.random
import stag.graphio
# Define the matrices of some useful graphs.
C4_ADJ_MAT = scipy.sparse.csc_matrix([[0, 1, 0, 1],
... | staglibrary/stagpy | test/test_graph.py | test_graph.py | py | 16,651 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "scipy.sparse.csc_matrix",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.sparse",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "scipy.sparse.csc_matrix",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sci... |
74370040694 | from elasticsearch import Elasticsearch
from elastic_transport import ApiResponse
es = Elasticsearch('http://localhost:9200')
def pretty_print_product_search(response: ApiResponse, comment):
print("\n-----------------------------------------")
print(comment)
print("---------------------------------------... | FatManWalking/plennarylitics | backend/app/ElasticsearchQueries/query_get_top_missing_persons_from_party.py | query_get_top_missing_persons_from_party.py | py | 1,036 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "elastic_transport.ApiResponse",
"line_number": 7,
"usage_type": "name"
}
] |
43131385163 | """classroom_app URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class... | adilsaju/classroom_app | classroom_app/urls.py | urls.py | py | 1,571 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "... |
9004492943 | import random
import numpy as np
from PIL import Image
import cv2
from math import pow
import neat
import pickle
import threading
rand = lambda x: random.randint(0, x)
SIZE = 50
N_EPISODES = 200
PLAYER_N = 1
FOOD_N = 2
ENEMY_N = 3
d = {1: (255, 175, 0), # blueish color
2: (0, 255, 0), # green
3: (0, 0, ... | StevenJPx2/neat-creature | creature_environment.py | creature_environment.py | py | 8,238 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_n... |
37994959107 | from config import CONFIG
from string import ascii_uppercase
class nodeManager(object):
"""
Here is a class that describe every function that a nodeManager shoudl have
"""
def createRepertory(self, directory_name):
from os import makedirs
makedirs(CONFIG[server]['dl_path']+directory_nam... | Fanboooy/projet_tutore | Aqua/core/nodeManager.py | nodeManager.py | py | 828 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.makedirs",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "config.CONFIG",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "{'makedirs': 'os... |
71347147574 |
import numpy
import matplotlib
matplotlib.use('Qt5Agg')
from matplotlib import pyplot
sampling_frequency = 4096 # Hz
time_resolution = 1/sampling_frequency
time_start = 0 # s
time_end = 8 # s
time = numpy.arange(time_start, time_end, time_resolution) # attenzione ai valori finali
signal_amplitude = 1
frequency = 3... | FedericoMuciaccia/binary_systems | code/phase_portrait.py | phase_portrait.py | py | 1,465 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number... |
14016893599 | # IMPORT PACKAGES
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import yfinance as yf
from scipy.stats import norm
from datetime import datetime
from dateutil.relativedelta import relativedelta
np.random.seed(42)
# ======================================================... | acrizkyakbar/Value-at-Risk | Value-at-Risk.py | Value-at-Risk.py | py | 23,126 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "yfinance.download",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.Series",... |
6591864222 | import cv2
import os
max_sample = 2000
def create_dataset(intruder = False):
face_cascade = cv2.CascadeClassifier("/home/aditya/College Project/data/haarcascade_frontalface_alt2.xml")
cap = cv2.VideoCapture(0)
id = input("Enter user ID: ")
sampleNum = 0
folder = "Dataset"
if intruder:
... | aditya-rawat-99/College-Project | CreateDataset.py | CreateDataset.py | py | 1,588 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"lin... |
36074094758 | import numpy as np
import torch
import torch.nn.functional as F
def softmax(scores):
es = np.exp(scores - scores.max(axis=-1)[..., None])
return es / es.sum(axis=-1)[..., None]
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self):
self.reset(... | mengyuest/temporal-shift-module | ops/utils.py | utils.py | py | 6,961 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.exp",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.matmul",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "torch.unique",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 7... |
27421650661 | import cv2
import numpy as np
img_rgb = cv2.imread('pictures/8.bmp')
img = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template1 = cv2.imread('img/comp1.bmp',0)
template2 = cv2.imread('img/temp1.png',0)
template3 = cv2.imread('img/temp2.png',0)
w1, h1 = template1.shape[::-1]
w2, h2 = template2.shape[::-1]
w3, h3 = tem... | waranyadatong/InspectionMachine | check_head.py | check_head.py | py | 3,410 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_n... |
4299233712 | import asyncio
import aioredis
import platform
from sometools.async_tools.base import Base
if not (platform.system() == 'Windows'):
import uvloop
asyncio.set_event_loop_policy(uvloop.EventLoopPolicy()) # 使用 uvloop 来替换 asyncio 内部的事件循环。
class AsyncIoRedisMixIn(Base):
def __init__(self, *args, **kwargs):
... | 584807419/SomeTools | sometools/async_tools/redis_tools/async_io_redis.py | async_io_redis.py | py | 1,193 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "platform.system",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "asyncio.set_event_loop_policy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "uvloop.EventLoopPolicy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "som... |
15825135895 | from django.db import models
from django.contrib.auth.models import User
from django.utils.translation import ugettext_lazy as _
from django.core import validators
from evento.models import Evento
# Create your models here.
class Perfil(models.Model):
telefono = models.CharField(
max_length=16, help_text=... | jairoht10/siceft | usuario/models.py | models.py | py | 1,815 | python | es | code | 0 | github-code | 21 | [
{
"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.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
32120499532 | import os
import time
import shutil
import tempfile
import subprocess # nosec
import argparse
from yaml import YAMLError
from ._config_parser import ParserError
from ._write_script import write_script
from .themes import installed_themes
from .utils import terminal_colors
BUILD_FILENAME = "webviz_app.py"
STATIC_FOL... | elisasth/webviz-config | webviz_config/_build_webviz.py | _build_webviz.py | py | 4,450 | python | en | code | null | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.Namespace",
"l... |
18822341965 | import pyparsing
from helpers import vacation_helpers
FILE = "input.txt"
PLUS = "+"
TIMES = "*"
# Init pyparsing
math_content = pyparsing.Word(pyparsing.alphanums) | '+' | '*'
parens = pyparsing.nestedExpr('(', ')', content=math_content)
def is_int(string):
try:
int(string)
return True
except... | BearHanded/advent_of_code-2020 | day_18/bad_math2.py | bad_math2.py | py | 2,778 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyparsing.Word",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyparsing.alphanums",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyparsing.nestedExpr",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "helpers.vac... |
23981745823 | import chainlit as cl
@cl.on_message
async def start():
await cl.Text(
content="Here is a global text", name="global text1", display="side"
).send(),
elements = [
cl.Image(path="./cat.jpeg", name="image1", display="inline"),
cl.Text(content="Here is a side text document", name="te... | onepointconsulting/chainlit-sept-2023 | cypress/e2e/local_db/main.py | main.py | py | 869 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "chainlit.Text",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "chainlit.Image",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "chainlit.Text",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "chainlit.Text",
"line_n... |
39394318716 | from http import HTTPStatus
from django.contrib.auth import get_user_model
from django.core.files.uploadedfile import SimpleUploadedFile
from django.test import Client, TestCase
from django.urls import reverse
from posts.forms import PostForm
from posts.models import Post, Group, Comment
User = get_user_model()
cl... | mnk96/yatube | yatube/posts/tests/test_forms.py | test_forms.py | py | 6,633 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.core.files.uploadedfile.SimpleUploadedFile",
"line_number": 27,
"usage_typ... |
20581868190 | """
Напишите консольную программу, которой на вход подается
единственное число N (без имени или с именем -n),
а программа печатает значение Nго числа Фибоначчи
"""
import sys
import argparse
import functools
@functools.lru_cache(None)
def fib(n):
if n < 2:
return n
return fib(n-1) + fib(n-2)
def creat... | shinobu9/mipt_advanced_python | Lab 4 sys, argparse/task1.py | task1.py | py | 681 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "functools.lru_cache",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
}
] |
19952502338 | import skimage.io as io
import numpy as np
def box_hotspot_1D(arr, hotspot, pad_size, weight, direction):
result = 0
if direction == 0:
for i in range(-pad_size, pad_size + 1): # only row
if hotspot[0] - i < 0 or hotspot[0] - i >= arr.shape[0]:
continue # zero padding
... | Jamies13syx/ImageProcessing | IPTK/neighborhood_processing.py | neighborhood_processing.py | py | 7,707 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "skimage.io.imread",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "numpy.ones",
"line_numbe... |
27604414553 | from __future__ import annotations
import logging
from time import time
from typing import Callable, TYPE_CHECKING
from anyio import sleep, WouldBlock
from .exceptions import StopPropagation
from .job import Job
from .queue import PriorityQueue
if TYPE_CHECKING:
from .chat_context import ChatContext
from .m... | lwesterhof/semaphore | semaphore/job_queue.py | job_queue.py | py | 3,969 | python | en | code | 123 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "message_sender.MessageSender",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "queue.PriorityQueue",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": ... |
7574012907 | MAXSENT = 100
from common.structure import get_contrastive_pairs
from common.structure import get_opinions as structure_get_opinions
def get_opinions(info):
opinions = structure_get_opinions(info)
return [i for i in opinions if i[0]]
def representativiness(source, summ):
points = 0
opinions_source... | raphsilva/contrastive-summarization | common/metrics.py | metrics.py | py | 2,128 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "common.structure.get_opinions",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "common.structure.get_contrastive_pairs",
"line_number": 52,
"usage_type": "call"
}
] |
1799758342 | import math
import pickle
#
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data.dataset import random_split
from ignite.engine import Engine, Events
from ignite.metrics import Accuracy, Precision, Recall
#
from gat import GAT, GATFinal
from train_utils import assert_vars_change, create_... | agpar/reddit_rep2 | machine_learning/archive/bow_gat.py | bow_gat.py | py | 3,350 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "gat.GAT",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gat.GATFinal",
"line_number... |
37492628505 | from django.conf.urls import url
from app import views
urlpatterns = [
url(r'^flags/new/$', views.flags_new),
url(r'^flags/all/', views.flags_all),
url(r'^flags/open/', views.open_flags),
url(r'^flag/([0-9]+)/$', views.flag),
url(r'^sh0ts/new/$', views.sh0ts_new),
url(r'^sh0ts/all/', views.sh0t... | pavanw3b/sh00t | app/urls.py | urls.py | py | 1,123 | python | en | code | 266 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "app.views.flags_new",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "app.views",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.conf.urls... |
28032414991 | #IMPORTS#
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime
start = datetime.now()
#INITIAL LIST#
x = []
y = []
z = []
c = []
#INITIALIZERS#
i = 0
j = 0
#"TIME STEP"#
dt = 1e-1
#FUNCTIONS#
#FIND Z#
def Z_Value(x,y):
return np.... | Thesaxman1126/Online_Backup_of_my_PY_Files | 4D_Graphing_MKII.py | 4D_Graphing_MKII.py | py | 879 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.cos",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line... |
533139483 | import pytest
from cgpm.crosscat.engine import Engine
from cgpm.dummy.twoway import TwoWay
from cgpm.utils import general as gu
def get_engine():
X = [[0.123, 1, 0], [1.12, 0, 1], [1.1, 1, 2]]
rng = gu.gen_rng(1)
return Engine(
X,
outputs=[8,7,9],
num_states=4,
cctypes=['n... | hiddenswitch/cgpm | tests/test_add_state.py | test_add_state.py | py | 2,462 | python | en | code | null | github-code | 21 | [
{
"api_name": "cgpm.utils.general.gen_rng",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cgpm.utils.general",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "cgpm.crosscat.engine.Engine",
"line_number": 11,
"usage_type": "call"
},
{
"api_nam... |
10540870301 | import markdown2
import secrets
from django.http import HttpResponseRedirect
from django.urls import reverse
from django import forms
from django.shortcuts import render
from . import util
from markdown2 import Markdown
class NewTaskForm(forms.Form):
subject = forms.CharField(label="Your title", widget=forms.Te... | NguyenThieuHuy/Wiki | tasks/views.py | views.py | py | 3,665 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.forms.Form",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.for... |
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