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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7759594347 | import os
import sys
from PyQt5.QtWidgets import QFrame, QSizePolicy
def isFloat(s: str):
try:
float(s)
except ValueError:
return False
return True
def isInt(s: str):
try:
int(s)
except ValueError:
return False
return True
def returnFloat(s: str):
try:
... | timhenning1997/Serial-Port-Monitor | UsefulFunctions.py | UsefulFunctions.py | py | 2,539 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys._MEIPASS",
"line_number": 96,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 98,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"li... |
72699109627 | # -*- coding: UTF-8 –*-
import random
from datetime import datetime
"""This is a random address function"""
def address():
# 小区名,可自行添加
area_address_name = ['蓝湾上林院', '绿城金华御园(别墅)', '紫金湾', '玫瑰星城', '绿城兰园',
'龙庭一品', '江山风华', '中梁首府', '中梁首府', '都市豪园',
'光明湖海城市花园', '金色海塘... | zzyy8678/stady_python | create_address.py | create_address.py | py | 17,836 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "random.choice",
"line_number": 134,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 136,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 140,
"usage_type": "call"
},
{
"api_name": "random.choice",
"lin... |
34180911472 | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 29 18:27:58 2020
@author: Kollarlab
"""
# import comtypes
import os
import time
#import subprocess
#import re
import scipy
import pylab
#import tarfile
#import struct
#import glob
import numpy
import time
#import pickle
#import datetime
#import itertools
import sys
... | MRitter95/Kollar-Lab | Old_scripts_delete_20220804/Control/Acqiris_development/CdriverPythonWrapper/Acqiris_testScript_Averagertiming.py | Acqiris_testScript_Averagertiming.py | py | 2,844 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.mod",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_numbe... |
35910630002 | from typing import Dict
from fastapi import FastAPI
from fastapi.staticfiles import StaticFiles
from app.routers import visualize
app = FastAPI()
app = FastAPI(
title="Model Visualizer",
description="",
version="0.10.0",
)
app.mount("/home/lirakr/repos/rnd-mermaid/app/static", StaticFiles(directory="/... | LirakR/rnd-mermaid | app/main.py | main.py | py | 684 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.routers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "app.routers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_numb... |
29214768086 | from django.shortcuts import render
from utils import Word
def home(request):
context = {}
if request.method == "POST":
text = request.POST['text']
context['results'] = Word(text).result()
context['text'] = text
return render(request, 'home.html', context)
| dest81/test-jerry | words_stats/views.py | views.py | py | 296 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.Word",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
}
] |
19025440782 | import os
import sys
import json
import torch
import traceback
# def returnFalse():
# return False
# torch.cuda.is_available = returnFalse
from scipy.io import wavfile
# from python.speaker_diarization.pipeline.speaker_diarization import SpeakerDiarization
class Diarization(object):
def __init__(self, logge... | DanRuta/xva-trainer | python/speaker_diarization/model.py | model.py | py | 16,869 | python | en | code | 78 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile.read",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"l... |
3648010096 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="waterstructureCreator",
version="0.0.1",
author="Nicolas G. Hoermann",
author_email="hoermann@fhi.mpg.de",
description=
"Creation of water structures on substrates",
long_descripti... | computationalelectrochemistrygroup/WaterStructureCreator | setup.py | setup.py | py | 868 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 16,
"usage_type": "call"
}
] |
32741409083 | import math
import numba
import numpy as np
def main():
starts, ends, rdf = np.loadtxt("rdf.dat").T
density = 1200 / 1.0**3
n_bins = len(rdf)
bin_width = ends[0] - starts[0]
corrector = np.zeros(n_bins)
kernel = compute_kernel(rdf, bin_width)
for step in range(100):
corrector = ... | snsinfu/bit5 | test418-ornstein_zernike/oz.py | oz.py | py | 1,377 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 19,... |
6701762608 | import discord
from discord.ext import commands
class HostPlugin(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command()
async def host(self, ctx):
await ctx.send("What is the time of the flight?")
flight_time = await self.bot.wait_for('message', check=lambda m: ... | MayyCookie/swissannc | flighta 2.py | flighta 2.py | py | 822 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.command",
"line_number": 8,
"usage_type": "call"
},
{
"api_... |
17516466448 | import torch
from torch import nn
__all__ = [
'_CONV_DICT',
'_CONV_TRANS_DICT',
'_AVG_POOL_DICT',
'_MAX_POOL_DICT',
'_NORM_DICT',
'_REFLECTION_PAD_DICT',
'_CENTER_CROP_DICT',
'_ACTIVATION_DICT',
'activation_from_str'
]
def center_crop_1d(layer: torch.Tensor, target: torch.Tensor) -... | broadinstitute/CellMincer | cellmincer/models/components/functions.py | functions.py | py | 2,557 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.Tensor",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv1d... |
36021786185 | import matplotlib.pyplot as plt;
import numpy as np;
data = np.loadtxt('jV_steady.dat', skiprows=1);
ref = np.loadtxt('G0610_cell3/1suns.dat', skiprows=3);
V_steady = data[:,0];
J_steady = data[:,1];
V_ref = ref[:,0];
J_ref = ref[:,1]*(-10);
V_steady += 0.0;
J_steady += 0;
# Plot all results
plt.figure(num=None, f... | dglowienka/drift-diffusion_mini-modules | Spatial/JV_with_ref.py | JV_with_ref.py | py | 563 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
27247441921 | revision = '4160ccb58402'
down_revision = None
branch_labels = None
depends_on = None
import json
import os
from alembic import op
import sqlalchemy as sa
from sqlalchemy.sql import table, column
sections = {
'update_authorized_keys': 'local',
'authorized_keys_file': 'local',
'githome_executable': 'loca... | mbr/githome | alembic/versions/4160ccb58402_update_from_previous_version.py | 4160ccb58402_update_from_previous_version.py | py | 2,292 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "alembic.op.get_bind",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.sql.table",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.sql.co... |
34832286900 | import cv2
vid = cv2.VideoCapture("my_video.mp4")
while(1):
ret, frame = vid.read()
if ret:
frame = cv2.resize(frame, (0, 0), fx = 1.2, fy = 1.2)
cv2.imshow("video", frame)
else:
break
if cv2.waitKey(10000) == ord("q"):
break | jim2832/Image-Recognition | video2.py | video2.py | py | 277 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number":... |
13000612743 | import os
import time
import numpy as np
import torch
import cv2
import subprocess
import argparse
from PIL import Image, ImageDraw
from facenet_pytorch import MTCNN
from optical_flow import OpticalFlowTracker
parser = argparse.ArgumentParser(description='Face tracking using Optical Flow.')
parser.add_argument('--inpu... | nishadi930313/Labmate | face_tracking.py | face_tracking.py | py | 5,042 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "subproces... |
75070674748 | #! /usr/bin/env python3
import json
def find_if (pred, collection):
try:
return next(filter(pred, collection))
except StopIteration:
return None
class Transition:
def __init__ (self, initial_state_name):
self.initial = initial_state_name
self.states = []
self.current = self.initial
def regist_state (s... | SPNSPN/state-json | py/transition.py | transition.py | py | 4,337 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 85,
"usage_type": "call"
}
] |
30061421331 | from bs4 import BeautifulSoup
import requests
import json
HEADING_ORDER = [
"defensePhysical",
"defensePhysicalStrike",
"defensePhysicalSlash",
"defensePhysicalPierce",
"defenseMagic",
"defenseFire",
"defenseLightning",
"defenseHoly",
"immunity",
"robustness",
"focus",
"... | lewisc64/Elden-Ring-Poise-Optimizer | data/sources/wiki/scrape_wiki.py | scrape_wiki.py | py | 2,230 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_... |
71066784189 | from collections import defaultdict
from copy import copy, deepcopy
from dataclasses import dataclass
from datetime import datetime, timedelta
from enum import Enum, auto, IntEnum
from typing import List, Tuple, Dict, Optional, Any
from dictdiffer import diff
from blaseball_mike.chronicler import get_entities
from Ch... | beiju/blaseball-player-changes | v1/Players.py | Players.py | py | 9,476 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "enum.auto",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 18,
... |
70264770749 | import subprocess as sp
import pymysql
import pymysql.cursors
import datetime
def search():
try:
# letter = input(First letter)
query = "select H.sport_name from equipment as H where H.quantity in (select max(quantity) from equipment); "
print(query)
cur.execute(query)
con.c... | VanshMarda/Data-and-Application | Project_Phase_4/MiniWorld.py | MiniWorld.py | py | 11,599 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.date",
"line_number": 289,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 290,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 290,
"usage_type": "attribute"
},
{
"api_name": "datetime.date... |
13933582750 | from django import forms
from .models import TodoList
class TodoListForm(forms.ModelForm):
class Meta:
model = TodoList
fields = ['task_title', 'task_description', 'task_status']
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.fields['task_title'].wi... | priyanka-infobeans/infoToDoList | infobeans_todolist/todolist_app/forms.py | forms.py | py | 451 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "models.TodoList",
"line_number": 6,
"usage_type": "name"
}
] |
20160930177 | from django.urls import path
from web import views
app_name ="web"
urlpatterns = [
path('',views.index,name="index"),
path("create/",views.create_product,name="create_product"),
path('deleted/<int:id>/',views.deleted_product,name="deleted_product"),
path('edit/<int:id>/',views.edit_product,name="ed... | Aswathy-G/advanceddjango-project | web/urls.py | urls.py | py | 389 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "web.views.index",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "web.views",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"... |
11068770479 | from django.http import *
from forms import UploadForm
from django import template
from django.template.loader import get_template
from django.template import Context, RequestContext
from django.utils.decorators import method_decorator
from django.shortcuts import render_to_response
from django.contrib.auth import auth... | hughsons/saltwaterfish | admin/views.py | views.py | py | 28,274 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "google.appengine.api.files.gs",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.api.files",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "google.appengine.api.files.gs",
"line_number": 28,
"usage_type": "attribute... |
7306633247 | import torch
from tqdm import tqdm
import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as transforms
from torch.utils.tensorboard import SummaryWriter
from data_loader import get_loader
from CNNtoRNN import CNNtoRNN
def train():
transform = transforms.Compose(
[
tra... | KarstenKu-Hub/ImageCaptioning | train.py | train.py | py | 2,050 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 14,
"usage_type": "call"
},
{
... |
42631511615 | #!/usr/bin/env python3
# Program to implement tweet classification
import nltk
import re
import sys
from collections import Counter
import pandas as pd
nltk.download('punkt')
# Read files
train_file = sys.argv[1]
test_file = sys.argv[2]
output_file = sys.argv[3]
train = open(train_file, 'r', errors='ignore').read()... | tanvi5/Games-and-Bayes | part2/geolocate.py | geolocate.py | py | 5,766 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number"... |
7259480306 | import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import cv2
import sys
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.fc1 = nn.Linear(6,200)
self.fc2 = nn.Linear(200,100)
self.fc3 = nn.Linear(100,50)
... | asbudhkar/Hand-Detector-with-Pose-Estimation | train.py | train.py | py | 2,462 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
5962356858 | from aoc_helpers.perf_helpers import *
from aoc_helpers.input_helpers import *
from collections import defaultdict
from collections import Counter
import string
import time
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial import Voronoi, voronoi_plot_2d
from scipy.spatial import cKDTree
def Poly... | colejd/AdventOfCode2018 | day_06/day6part1_borked.py | day6part1_borked.py | py | 3,325 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.Voronoi",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.cKDTree",... |
75163131066 | import pprint, random, datetime
class Cliente():
_nomes = ['ERIC RUIZ', 'ROBERTA DE LIMA', 'DEIVIDI SCALZAVARA', 'ADOLFO NETO', 'JOSE MONESTEL', 'WAGNER CORREIA', 'JACEGUAY ZUKOSKI', 'MICHEL SOUZA', 'MAYRA RODRIGUES', 'MICHEL DUARTE', 'MARCIO FOSSA', 'MARCEL BORNANCIN', 'ELOISA PERIN', 'TIAGO WIPPEL', 'LUCAS FISCH... | e-ruiz/big-data | 01-NoSQL/atividade-03/big_data_atividade_3.py | big_data_atividade_3.py | py | 7,003 | python | pt | code | 1 | github-code | 6 | [
{
"api_name": "random.choice",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_n... |
14755463895 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
# ==========================Core Module================================
class conv_block(nn.Module):
def __init__(self, ch_in, ch_out):
super(conv_block, self).__init__()
self.conv = nn.Sequential(
... | ikkbic/My-Repositories | segmentionn_models_trans/UNet-1.py | UNet-1.py | py | 3,430 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
36643660386 | # -*- coding: utf-8 -*-
"""
@author: QgZhan
@contact: zhanqg@foxmail.com
@file: cifar.py
@time: 2022/4/19 11:19
"""
import os
from torch.utils.data import Dataset
from dataloader.dataloader_utils import *
from torchvision import datasets, transforms
from spikingjelly.datasets import cifar10_dvs
from torch... | rtao499/SAANet | dataloader/cifar.py | cifar.py | py | 10,609 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 29,
"usage_type": "call"
},
{
... |
43381026267 | import boto3
def lambda_handler(event, context):
sns = boto3.client('sns')
message = event.get('message', 'Default message')
params = {
'Message': message,
'TopicArn': 'arn:aws:sns:us-east-1:896553604990:LiveScore'
}
try:
response = sns.publish(**params)
message_i... | bayarbayasgalanj/cloud_computing | Project/lambda_function.py | lambda_function.py | py | 512 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 4,
"usage_type": "call"
}
] |
71969293949 | import argparse
import logging
from common import _utils
def main(argv=None):
parser = argparse.ArgumentParser(description='ML Trainer')
parser.add_argument('--project', type=str, help='Google Cloud project ID to use.')
parser.add_argument('--region', type=str, help='Which zone to run the analyzer.')
parser.... | kubeflow/kfp-tekton-backend | components/deprecated/dataproc/train/src/train.py | train.py | py | 1,939 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "common._ut... |
4630502954 | import tkinter as Tk
from math import floor
import numpy as np
from PIL import Image,ImageTk
## ---------------------- ##
##| CLASSES |##
## ---------------------- ##
class Texture:
def __init__(self,path):
self._img = Tk.PhotoImage(file=path)
def getImg(self): return self._img
class Textu... | MaximePerriquet/PyCraft | rendering.py | rendering.py | py | 10,623 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.PhotoImage",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "tkinter.PhotoImage",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "tkinter.PhotoImage"... |
36185365035 | '''
Ahmad Abu Hanifah
A1C020026
Teknik Otomasi Pertanaian
'''
import numpy as np
import matplotlib.pyplot as plt
dOsp = 6.5
vmin = 0 # kecepatan aliran udara (L/s)
vmax = 2 # kecepatan aliran udara (L/s)
V = 1000000 #Volume sistem (L)
kLa = 0.045 # per menit
n = 4 # Jumlah aerator
# a = 0.4 # Luas permukaan antarmuka... | AbuHanifah1878/Teknik_Otomasi_Pertanian | KontrolDOOnOff.py | KontrolDOOnOff.py | py | 1,349 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
... |
27089285988 | import sys
import json
unique = {}
start = ['a','f','l','q','u']
end = ['e','k','p','t','z']
if(len(sys.argv) != 4):
print("========================================================================================================")
print("SORRY!! Please provide the path to the INPUT json file, the OUTPUT file... | STEELISI/Venmo | Fan_in.py | Fan_in.py | py | 2,106 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18,... |
10233665355 | from __future__ import annotations
import datetime
from typing import Optional, Union, TYPE_CHECKING, List, Dict
from . import enums
from .utils import parse_timestamp
from .user import BitLeaderboardUser, PartialUser, User
if TYPE_CHECKING:
from .http import TwitchHTTP
__all__ = (
"BitsLeaderboard",
"Cli... | PythonistaGuild/TwitchIO | twitchio/models.py | models.py | py | 69,250 | python | en | code | 714 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "utils.parse_timestamp",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "utils.parse_timestamp",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "user.... |
11728318125 | import numpy as np
from tabulate import tabulate
from clustering.external_evaluation import calculate_purity
from clustering.k_means import KMeans
from data_preparation.inverted_index import InvertedIndex
from data_preparation.pre_processing import parse_corpus, pre_process_corpus
corpus, y_true, titles = parse_corpu... | nzabdelke/News-Clustering | main.py | main.py | py | 3,536 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "data_preparation.pre_processing.parse_corpus",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "data_preparation.pre_processing.pre_process_corpus",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "data_preparation.inverted_index.InvertedIndex",
... |
72497450429 | from bs4 import BeautifulSoup
import requests, os
#Configuration Variables
search_refs = True
build_path = "API"
API_URL = "https://pythonapi.upbge.org/"
#Further addons
headers = {"bge" + os.sep + "types.py" : """
import mathutils
inf = 0
class CListValue:
def __init__(self, ctype):
self.__ret__ = ctype... | elmeunick9/UPBGE-CommunityAddon | documentation/BGEMockGen/make.py | make.py | py | 14,473 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "os.sep",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.sep",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "os.sep",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "os.path.normpath",
"line_numb... |
6757308419 | # exclude from patching
DONT_PATCH_MY_STAR_IMPORTS = True
from mods.RiftOptimizer.Patcher import *
import threading
import queue
import Level
import LevelGen
import inspect
import logging
import SteamAdapter
import Game
import os
import pygame
import dill as pickle
import mods.RiftOptimizer.RiftOptimizer as RiftOptim... | anotak/RiftOptimizer | ThreadedIO.py | ThreadedIO.py | py | 9,785 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "inspect.stack",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "inspect.getmodule",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "inspect.getmodule",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"lin... |
3919530622 | # standard python
import base64
import bz2
import datetime
import json
import multiprocessing
import optparse
import os
import re
import socket
import sys
import time
import urllib.parse
import urllib.request
# custom browser driver
from webxray.ChromeDriver import ChromeDriver
class Client:
def __init__(self, serve... | thezedwards/webXray | webxray/Client.py | Client.py | py | 4,988 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "urllib.parse.request.Request",
"line_number": 60,
"usage_type": "call"
},
{
"api_nam... |
73734292027 | import json
import os
from account import Account
home_path = os.getenv("HOME")
config = json.load(open(os.path.join(home_path, ".config", "revChatGPT", "config.json")))
cache = json.load(open(os.path.join(home_path, ".cache", "revChatGPT", "config.json")))
# 从配置读取 token
session_token = config['accounts'][0]['sessio... | fkxxyz/rev-chatgpt-web | test.py | test.py | py | 662 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"us... |
2965742594 | from odoo import http
from odoo.http import request
from odoo.addons.web.controllers.main import ensure_db
import werkzeug
import logging
_logger = logging.getLogger(__name__)
class SimpleUrlController(http.Controller):
@http.route('/redir', type='http', auth="user")
def redirect(self, **args):
ens... | Tawasta/server-tools | base_simple_urls/controllers/simple_urls.py | simple_urls.py | py | 2,344 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "odoo.http.Controller",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "odoo.http",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "odoo.addons.web.... |
13895462756 | ########################################################################################
# Module with functions for parametric estimation of GC
########################################################################################
import numpy as np
import scipy.linalg
from .tools import *
def YuleWalker(X, m, ma... | ViniciusLima94/pyGC | pygc/parametric.py | parametric.py | py | 1,814 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_number... |
18307501302 | import warnings
from copy import deepcopy
from typing import Union, List, Tuple, Dict
import numpy as np
from aequilibrae.matrix import AequilibraeMatrix
from aequilibrae.paths.graph import Graph
from aequilibrae.paths.results import AssignmentResults
class TrafficClass:
"""Traffic class for equilibrium traffic... | AequilibraE/aequilibrae | aequilibrae/paths/traffic_class.py | traffic_class.py | py | 7,635 | python | en | code | 140 | github-code | 6 | [
{
"api_name": "aequilibrae.paths.graph.Graph",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "aequilibrae.matrix.AequilibraeMatrix",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "numpy.array_equal",
"line_number": 50,
"usage_type": "call"
},
{
... |
30729211140 | import threading
from random import randint
import pika
import time
from src.klein_queue.errors import KleinQueueError
from src.klein_queue.rabbitmq.publisher import Publisher
from src.klein_queue.rabbitmq.consumer import Consumer
from klein_config.config import EnvironmentAwareConfig
test_config = {
"rabbitmq": {... | mdcatapult/py-queue | tests/rabbitmq/test_consumer.py | test_consumer.py | py | 17,024 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "threading.Event",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "klein_config.config.EnvironmentAwareConfig",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "src.klein_queue.rabbitmq.consumer.Consumer",
"line_number": 46,
"usage_type": ... |
29431482505 | import os
import numpy as np
import cv2
import glob
srcw, srch = 1920, 1080
x, y, w, h = 6, 599, 517, 421
app_name = 'gpu_math.exe'
app_dir = 'D:\\Code\\gpu_tracking\\gpu-object-tracking\\build\\bin'
yuv_file = '%s\\test.yuv'%app_dir
roi_file = '%s\\dump.gpu-roi.0000.517x421.yuv'%app_dir
aff_file = '%s\\dump.gpu-affin... | mintaka33/gpu-object-tracking | run.py | run.py | py | 3,904 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.savetxt",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number... |
73474178748 | from fastapi import APIRouter, Depends, FastAPI
from src.dependencies.auth import firebase_authentication
from src.routes.audios import views as audios_views
from src.routes.auth import views as auth_views
from src.routes.users import views as users_views
api_router = APIRouter()
api_router.include_router(auth_views.... | CrowdsourcingApps/Crowdsourcing-Ayat | src/routes/__init__.py | __init__.py | py | 846 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "src.routes.auth.views.router",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "src.routes.auth.views",
"line_number": 9,
"usage_type": "name"
},
{
"api_name":... |
8463884764 | from django.utils import timezone
from rest_framework import status
from rest_framework.generics import CreateAPIView, RetrieveUpdateDestroyAPIView
from rest_framework.response import Response
from rest_framework.views import APIView
from logistics.models import Logistic, LogisticRate
from receivers.models import Rece... | Duade10/ditosell-api | orders/views.py | views.py | py | 4,947 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "users.authentications.CustomTokenAuthentication",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "users.permissions.CustomPermission",
"line_number": 18,
"usa... |
24486961270 | from airflow import DAG
from airflow.providers.http.operators.http import SimpleHttpOperator
from airflow.hooks.base import BaseHook
from airflow.operators.python import PythonOperator
import datetime
import requests
import json
dag = DAG(
dag_id='533_api_generate_report',
schedule_interval='0 0 * * *',
start_date... | Artem-ne-Artem/Data-engineering-by-Yandex-Practicum | s3-lessons/Theme_5/Task_5.3.3.py | Task_5.3.3.py | py | 1,229 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "airflow.DAG",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.post",
... |
19594690506 | import tkinter
import mysql.connector
from tkinter import *
from tkinter import ttk
from tkinter.ttk import Treeview
from tkinter import messagebox
from PIL import Image, ImageTk
db = mysql.connector.connect(
host="localhost",
user="root",
password="1234",
database="bmh204"
)
mycursor ... | arslncanm/Kulup_otomasyon_Python_tkinter | MAYKOD/main.py | main.py | py | 24,326 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 10,
"usage_type": "name"
},
{
"... |
42812438276 | from __future__ import print_function
import numpy as np
from skimage import io
from tqdm import tqdm
import argparse
import os
from config import palette, invert_palette
def convert_to_color(arr_2d, palette=palette):
""" grayscale labels to RGB-color encoding """
arr_3d = np.zeros((arr_2d.shape[0], arr_2d.sh... | nshaud/DeepNetsForEO | legacy/notebooks/convert_gt.py | convert_gt.py | py | 2,413 | python | en | code | 468 | github-code | 6 | [
{
"api_name": "config.palette",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "config.palette.items",
... |
23361190894 | import os
import numpy as np
from numpy import array, zeros, diag, diagflat, dot
import numpy
from flask import Flask, render_template, request, redirect, url_for
from werkzeug.utils import secure_filename
import copy
from os.path import join, dirname, realpath
UPLOAD_FOLDER = './uploads/'
ALLOWED_EXTENSIONS = set([... | konstantinkonstantinovich/Numerical-Methods-Sprint01- | Sprint01/app.py | app.py | py | 9,328 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line... |
855878754 | #!/usr/bin/env python
# This example shows how to extract portions of an unstructured grid
# using vtkExtractUnstructuredGrid. vtkConnectivityFilter is also used
# to extract connected components.
#
# The data found here represents a blow molding process. Blow molding
# requires a mold and parison (hot, viscous plasti... | VisTrails/VisTrails | examples/vtk_examples/VisualizationAlgorithms/ExtractUGrid.py | ExtractUGrid.py | py | 3,366 | python | en | code | 100 | github-code | 6 | [
{
"api_name": "vtk.util.misc.vtkGetDataRoot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "vtk.vtkDataSetReader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "vtk.vtkCastToConcrete",
"line_number": 24,
"usage_type": "call"
},
{
"api_name"... |
71608494589 | # coding=utf-8
import logging
from datetime import datetime
import markupsafe
from playhouse.shortcuts import dict_to_model, model_to_dict
from app import components
from app.notes.model import Note, TaggedNote
from app.tags import tagService
from app.categories import categoryService
class NoteService(components.... | caiwan/cai-notepad | backend/app/notes/__init__.py | __init__.py | py | 3,356 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "app.components.Service",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "app.components",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "app.notes.model.Note",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "app.c... |
30727489542 | from pydantic import BaseModel, Field, validator
class Address(BaseModel):
region: str
city: str
street_type: str
street: str
house_type: str
house: str
value: str
lat: float
lng: float
class Salary(BaseModel):
from_: int = Field(alias='from')
to: int
currency: str
... | SayKonstantin/data_validation | models.py | models.py | py | 1,625 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseMode... |
10565146032 | from matplotlib import pyplot
import matplotlib.pyplot as plt
import random, operator, math
from collections import defaultdict
def import_data(filename):
with open (filename, "r") as f:
dataPoints = [(float(line.split()[1]), float(line.split()[2])) \
for line in f if '#' not ... | steffervescency/compling | exercise8/coli_ex_8.py | coli_ex_8.py | py | 4,401 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",... |
73727858748 | #!/usr/bin/env python3
import argparse
import boutvecma
import easyvvuq as uq
import chaospy
import os
import numpy as np
import time
import matplotlib.pyplot as plt
CAMPAIGN_NAME = "Conduction."
def refine_sampling_plan(campaign, analysis, number_of_refinements):
"""
Refine the sampling plan.
Paramet... | boutproject/VECMA-hackathon | workflows/sc_adaptive_restartable/example_restartable_sc_adaptive.py | example_restartable_sc_adaptive.py | py | 8,019 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": ... |
3476194370 | from collections.abc import MutableMapping
from collections.abc import MutableSequence
from dpath import options
from dpath.exceptions import InvalidKeyName
import dpath.segments
_DEFAULT_SENTINAL = object()
MERGE_REPLACE = (1 << 1)
MERGE_ADDITIVE = (1 << 2)
MERGE_TYPESAFE = (1 << 3)
def __safe_path__(path, separato... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dpath/util.py | util.py | py | 12,695 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "dpath.segments.leaf",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "dpath.segments",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "dpath.exceptions.InvalidKeyName",
"line_number": 32,
"usage_type": "call"
},
{
"api_name"... |
33126999128 |
from sklearn.model_selection import train_test_split
from src.config import config
from mindspore import Tensor
import mindspore
class ModelDataProcessor:
def __init__(self):
self.get_dict()
def get_dict(self):
self.word_dict = {}
with open(config.vocab_file, 'r') as f:
c... | Xie-Minghui/DPCNN_MS0 | src/data_loader.py | data_loader.py | py | 3,040 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "src.config.config.vocab_file",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "src.config.config",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 42,
"usage_type": "call"
... |
26253976434 | import re
from bowler import Query
from fissix.pytree import Node, Leaf
from fissix.fixer_util import FromImport, Name, Comma, is_import
from bowler.types import Capture, Filename
def update_regex_to_path(regex: str) -> str:
match = re.findall(r"\(\?P<(\w+)>([^\)]+)\)", regex)
if match:
for name, exp... | aalekseev/healthy-projects | src/django_patches/url_2_path/patch.py | patch.py | py | 1,835 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.findall",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "fissix.pytree.Node",
"line_number": 24,
... |
42493210531 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 13 13:15:49 2018
@author: michal
"""
import networkx as nx
from copy import deepcopy
#import numpy as np
from solution import Solution
from random import sample
class PublicationMatcher:
def primitiveMaxPointsOfRest(self, publications):
... | chemiczny/pubMatch | pubMatch/publicationMatcher.py | publicationMatcher.py | py | 13,317 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "networkx.DiGraph",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "networkx.maximum_flow",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "networkx.network_simplex",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "solut... |
40189093783 | __author__ = 'eladron'
import folium
#variables
lat = 32.12830
long = 34.79269
loc = [lat,long]
zs = 18
tls = 'Stamen Terrain'
map_path = 'App2-Leaflet_Webmaps/map_test.html'
map = folium.Map(location=loc, zoom_start = zs)
map.simple_marker(location=loc, popup='My address' , marker_color='purple')
map.create_... | Elad73/PythonTutorials | python/Udemy/Mega_Course/App2-Leaflet_Webmaps/map.py | map.py | py | 334 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "folium.Map",
"line_number": 15,
"usage_type": "call"
}
] |
74150991549 | import numpy as np
import pygame as pyg
from math import cos, sin
from src.objects.point import Point
class Cube(Point):
def __init__(self, x: int, y: int, z: int, side:int, rotation: str = 'xyz', static: bool = False) -> None:
super().__init__(x, y, z, rotation, static)
self.center =... | FukuInTheCode/pythonMath | src/objects/cube.py | cube.py | py | 1,309 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "src.objects.point.Point",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "src.objects.point.Point",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.Surface",
"line_number": 37,
"usage_type": "attribute"
}
] |
27937808825 | import logging
import time
import sys
from selenium import webdriver
from selenium.webdriver.edge.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.common.ke... | Zyniel/DansePlanningManager | src/app/whatsapp_bot.py | whatsapp_bot.py | py | 3,082 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.edge.options.Options",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Edge",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 29,
"usage_type": "name"
},
{
... |
40883369274 | import sys
from kubernetes import client, config
pods_templates = [
"authservice-",
"cluster-local-",
"istio-citadel-",
"istio-galley-",
"istio-ingressgateway-",
"istio-nodeagent-",
"istio-pilot-",
"istio-policy-",
"istio-security-post-install-",
"istio-sidecar-injector-",
"... | dzhyrov/private-manifests-1.3 | private-manifests/utils/pods-validator.py | pods-validator.py | py | 1,763 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "kubernetes.config.load_kube_config",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "kubernetes.config",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "kubernetes.client.CoreV1Api",
"line_number": 47,
"usage_type": "call"
},
{
"... |
37123499778 | import nltk
from Model.Model import Model
from View.View import View
from docx import Document
from datetime import datetime
from classes.Document import MyDocument
import os
import string
import pymorphy2
from tkinter import filedialog
from tkinter import messagebox
import tkinter as tk
from matplotlib.figure import F... | F1linnn/info-search-system | Controller/Controller.py | Controller.py | py | 14,983 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Model.Model.Model",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "View.View.View",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pymorphy2.Mo... |
39434532575 | from collections import Counter
import zarr
from fastai.tabular.all import *
from fastai.data.all import *
from fastai.vision.gan import *
from fastai import *
from tsai.all import *
from torch import nn
import numpy as np
import seaborn as sns
import matplotlib.colors as mcolors
import matplotlib.pyplot as plt
import... | numediart/xAAEnet | main.py | main.py | py | 9,638 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda.set_device",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
... |
41550408574 | import time
from enum import IntEnum
from .. util import log
from .. project import attributes, load
DEFAULT_FPS = 24
class STATE(IntEnum):
ready = 0
running = 1
complete = 2
canceled = 3
max_steps = 4
timeout = 5
class Runner(object):
def __init__(self, *, amt=1, fps=0, sleep_time=0, ... | ManiacalLabs/BiblioPixel | bibliopixel/animation/runner.py | runner.py | py | 2,884 | python | en | code | 263 | github-code | 6 | [
{
"api_name": "enum.IntEnum",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "project.attributes.check",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "project.attributes",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "util.log.erro... |
17634455157 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from re import I
from flask import Flask
from flask import request
import chromadb
from chromadb.config import Settings
app = Flask(__name__)
client = chromadb.Client(Settings(chroma_api_impl='rest',
chroma_server_host='localhost',
... | aravindcz/mygpt-chromadbwrapper | controller/controller.py | controller.py | py | 2,166 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "chromadb.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "chromadb.config.Settings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.arg... |
2116138484 | """
Tests for QCFractals CLI
"""
import os
import time
import tempfile
import pytest
from qcfractal import testing
from qcfractal.cli.cli_utils import read_config_file
import yaml
# def _run_tests()
_options = {"coverage": True, "dump_stdout": True}
_pwd = os.path.dirname(os.path.abspath(__file__))
@pytest.fixture... | yudongqiu/QCFractal | qcfractal/cli/tests/test_cli.py | test_cli.py | py | 6,785 | python | en | code | null | github-code | 6 | [
{
"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",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tempfile.TemporaryDirect... |
15251411062 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('nearsight', '0003_auto_20170718_1326'),
]
operations = [
migrations.AlterField(
model_name='layer',
... | venicegeo/nearsight | nearsight/migrations/0004_auto_20170718_1327.py | 0004_auto_20170718_1327.py | py | 426 | python | en | code | 0 | github-code | 6 | [
{
"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.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
72064206267 | # -*- coding: utf-8 -*-
# @Time : 2022/7/24 15:46
# @Author : 4v1d
# @File : 中国招标网.py
# @Software: PyCharm
import httpx
url = 'https://www.baidu.com'
res = httpx.get(url)
print(res.text) | daweiTech/Spider | 爬虫/01-网络爬虫通讯原理/demo1.py | demo1.py | py | 217 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "httpx.get",
"line_number": 11,
"usage_type": "call"
}
] |
4970677598 | # Importing Modules
import matplotlib.pyplot as plt
#%matplotlib inline
# Graph Rev 7
x_values = range(1, 1001)
y_values = [x**2 for x in x_values]
plt.style.use('seaborn')
#fig, ax = plt.subplots()
fig, ax = plt.subplots(figsize=(5,3))
# Using Colormap
# Colormap references:
ax.scatter(x_values, y_values, c = y_v... | RaulMaya/Data-Visualization | python_programs/generating data/scatter_squares.py | scatter_squares.py | py | 791 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_na... |
33093309616 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions.categorical import Categorical
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class Decoder(nn.Module):
''' This class contains the implementation of Decoder Module.
Args:
embedding_dim:... | facebookresearch/UNLU | codes/rnn.py | rnn.py | py | 8,608 | python | en | code | 34 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
... |
1688662512 | from selenium import webdriver
import time
import csv
# driver = webdriver.Chrome(r'path\to\the\chromedriver.exe')
driver = webdriver.Chrome()
# Go to the page that we want to scrape
driver.get("https://blog.feedspot.com/usa_news_websites/")
#close the pop up
time.sleep(2)
close_button = driver.find_element_by_xpath... | skyyaya28/NYCDSA-Webscraping | feedspot_seleium.py | feedspot_seleium.py | py | 2,100 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
15837575627 | # -*- coding: utf-8 -*-
# @Time : 2022/6/17 15:05
# @Author : renyumeng
# @Email : 2035328756@qq.com
# @File : Solve.py
# @Project : ProbabilityTheoryAndMathematicalStatisticsExperiments
import numpy as np
import scipy.stats as sts
class Solve:
def __init__(self, N) -> None:
self.n: int = N
self._... | renyumeng1/ProbabilityTheoryAndMathematicalStatisticsExperiments | firstExper/第三题/Solve.py | Solve.py | py | 1,551 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.ndarray",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats.norm.rvs",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "scipy.stats.... |
37974301119 | '''
Time calculations
Author: Howard Webb
Date: 2/9/2023
'''
from datetime import datetime
import time
import math
from MARSFarm_Util import *
def get_day(start_date):
# calculate number of days since start_date (as timestamp)
now = datetime.now().timestamp()
dif = now - start_date
days = math.ceil(di... | webbhm/MARSFarm-VX | Time_Util.py | Time_Util.py | py | 1,423 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "math.ceil",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"li... |
23364168677 | """Module for parse svg file and return the
position of different elements"""
# Global variables ------------------------------------------------------------
GRAPH_PATH = "../ressources/graphes/"
# Imports ---------------------------------------------------------------------
import os
import random
import xml.etree... | Remyb98/chomp-sur-graphes | src/entity/parser.py | parser.py | py | 4,631 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "node.Node",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "node.Arro... |
35605543653 | import numpy as np
import init_lattice as lat
import MH_algorithm as MH
import Wolff_algorithm as W
import autocorrelation_functions as acf
import importlib
importlib.reload(MH)
importlib.reload(W)
importlib.reload(lat)
importlib.reload(acf)
# Produces data of internal energy autocorrelation against sweeps and the auto... | Part-II-Computational-Physics/cluster-algorithms-for-monte-carlo-jbd29 | figure_12_E.py | figure_12_E.py | py | 2,040 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "importlib.reload",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "importlib.reload",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "importlib.reload",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "importlib.reload",
... |
22042359096 | #Developed By: Tonumoy Mukherjee
import os
from scipy.io import wavfile
import scipy
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import cm
import numpy as np
from keras.layers import Conv2D, MaxPool2D, Flatten, LSTM
from keras.layers import Dropout, Dense, TimeDistributed
from keras.models imp... | Tonumoy/MFCCNet-A-Network-for-Earthquake-Early-Warning-Applications-using-Speech-Recognition-Techniques | model.py | model.py | py | 13,362 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.isfile",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number"... |
38903193024 | import argparse
import csv
class MergeDataset:
def __call__(self, positive_handle, negative_handle, out_handle, delimiter=",", quote_character='"'):
csv_writer = csv.writer(out_handle, delimiter=delimiter, quotechar=quote_character)
# Write positive
for r in positive_handle:
... | elangovana/sentimentanalysis-chainer-sagemaker | custom_chainer/datasetmovies/MergeDataset.py | MergeDataset.py | py | 1,092 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.writer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
}
] |
72779091069 | from typing import List
import hikari
async def alert(event: hikari.GuildMessageCreateEvent, command: str, config, *args) -> None:
guild: hikari.GatewayGuild = event.get_guild()
roles: List[hikari.Role] = guild.get_roles().values()
for role in roles:
if role.mention == args[0] and role.name not i... | Angry-Maid/DiscordAlertBot | commands/alert.py | alert.py | py | 514 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "hikari.GuildMessageCreateEvent",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "hikari.GatewayGuild",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": ... |
37377572966 | import os
import gym
import joblib
import cv2
import numpy as np
import tensorflow as tf
from collections import deque
from argparse import ArgumentParser
from gym import spaces
from tensorflow.python.training.moving_averages import assign_moving_average
cv2.ocl.setUseOpenCL(False)
try:
import const
except:
... | fangchuan/carla-DRL | utils/common.py | common.py | py | 16,371 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.ocl.setUseOpenCL",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.ocl",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "const.DEBUG",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "const.DEBUG",
... |
7326203114 | import hls4ml
import os
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import tarfile
import shutil
PARSE = False
data = []
data_path = 'data_pickles/data6.pkl'
saved_dir = os.getcwd()
if PARSE:
df = pd.read_pickle(data_path)
os.chdir('/eos/home-n/nghielme/')
ids = df['ID'].tolis... | nicologhielmetti/enet-script | analyze_results.py | analyze_results.py | py | 5,105 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number":... |
33902526132 | import asyncio
import ssl
from itertools import zip_longest
import click
from aiohttp import TCPConnector
from aiohttp.http import HeadersParser
from hls_get.downloader import HLSDownloader
async def download(links, path, names, coros, headers, timeout, clean_up, verify):
headers_parser = HeadersParser()
he... | SoulMelody/hls-get | hls_get/cli.py | cli.py | py | 2,929 | python | en | code | 39 | github-code | 6 | [
{
"api_name": "aiohttp.http.HeadersParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "aiohttp.TCPConnector",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "itertools.zip_longest",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": ... |
3795696476 | # -*- coding: utf_8 -*-
import sys
import time
import json
import re
import datetime
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.support.ui import WebD... | 1neoneo3/scrape | scraping1.py | scraping1.py | py | 2,819 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 43,
"usage_type": "name"
},
{... |
31569984020 | # normal libraries
from inspect import signature # used in the method eval of the class
import numpy as np
import scipy.stats # functions of statistics
# other files
from corai_error import Error_type_setter
from scipy.integrate import simps
# my libraries
np.random.seed(124)
# section ############... | Code-Cornelius/ITiDeEP | src/hawkes/kernel.py | kernel.py | py | 7,949 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "inspect.signature",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.linspace"... |
75163153466 | import werkzeug
def test_CVE_2019_14806():
"""
CVE-2019-14806
high severity
Vulnerable versions: < 0.15.3
Patched version: 0.15.3
https://github.com/advisories/GHSA-gq9m-qvpx-68hc
Pallets Werkzeug before 0.15.3, when used with Docker,
has insufficient debugger PIN randomness because ... | e-ruiz/big-data | 01-NoSQL/atividade-04/src/tests/test_security.py | test_security.py | py | 533 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "werkzeug.__version__.split",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "werkzeug.__version__",
"line_number": 15,
"usage_type": "attribute"
}
] |
17007174174 | from scrapy import Spider
from scrapy.selector import Selector
from stack.items import StackItem
with open(r'C:\Users\amarciniak\AppData\Local\Programs\Python\Python35-32\Scripts\stack\stack\spiders\links.txt') as f:
linkList = f.read().splitlines()
class StackSpider(Spider):
name = "sta... | AdamMarciniak/SuperCrawler2 | stack/stack/spiders/stack_spider.py | stack_spider.py | py | 973 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "stack... |
72031135549 | #!/usr/bin/env python
# _*_ coding: utf-8 _*_
# @Time : 2021/1/3 21:23
# @Author : mafei0728
# @Version：V 0.1
# @File : bar.py
# @desc :
# 1）准备数据
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
movie_name = ['雷神3：诸神黄昏', '正义联盟', '寻梦环游记']
first_d... | mafei0728/pythonProject | mateplotlibDemo/day03/bar.py | bar.py | py | 810 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
35292064506 | import pandas as pd
import datetime
import pickle
import numpy as np
from sklearn.linear_model import SGDRegressor
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import StandardScaler
from sklearn.externals import joblib
import random
# Codes des compagnies aériennes et l'équivalent du cod... | makboulhoussen/flightdelay | web-interface/webdelay/delayapi/flightDelayPred.py | flightDelayPred.py | py | 7,291 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"... |
14159077384 | # coding: utf-8
from __future__ import unicode_literals
from django.db import models
from .utils import get_models_from_file
class DynamicModelManager(models.Manager):
def __init__(self, model, instance=None):
super(DynamicModelManager, self).__init__()
self.model = model
self.instance = i... | ToxicWar/travail-de-tests | testtask/models.py | models.py | py | 2,767 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Manager",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.signals.class_prepared.connect",
"line_number": 36,
"usage_type": "call"
... |
44501822840 | from flask_wtf import FlaskForm
from wtforms import StringField, TextAreaField, FloatField, IntegerField, FileField, validators
class DishForm(FlaskForm):
name = StringField('Name', [
validators.DataRequired(),
validators.Length(min=2, max=100)
])
description = TextAreaField('Description', ... | stroud91/DietCrusherProject | app/forms/dishes.py | dishes.py | py | 668 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "wtforms.validators.DataRequired",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
9185141020 | import os
from absl import flags
FLAGS = flags.FLAGS
def get_executable_path(py_binary_name):
"""Returns the executable path of a py_binary.
This returns the executable path of a py_binary that is in another Bazel
target's data dependencies.
On Linux/macOS, the path and __file__ has the same root director... | bazelbuild/bazel | third_party/py/abseil/absl/testing/_bazelize_command.py | _bazelize_command.py | py | 1,658 | python | en | code | 21,632 | github-code | 6 | [
{
"api_name": "absl.flags.FLAGS",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "absl.flags",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "os.name",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_... |
70911317947 | # -*- coding: utf-8 -*-
import scrapy
class AmazonBooksSpiderSpider(scrapy.Spider):
name = 'amazon_books_spider'
# allowed_domains = ['amazon.com']
start_urls = ['https://www.amazon.com/s?i=stripbooks&bbn=283155&rh=n%3A283155%2Cp_n_publication_date%3A1250226011%2Cp_n_feature_browse-bin%3A618073011&s=revie... | ArRosid/Scrapy-Project | scrapy_project/spiders/amazon_books_spider.py | amazon_books_spider.py | py | 1,322 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
}
] |
16474430323 | from rest_framework import serializers
from .models import Quizzes, Question, Answer,Score
class QuizSerializer(serializers.ModelSerializer):
class Meta:
model = Quizzes
fields = [
'title','id'
]
class ScoreSerializer(serializers.ModelSerializer):
user = serializers.ReadOn... | Rinz-Code/Fasalu-Rahman-Portfolio | server/quiz/serializers.py | serializers.py | py | 2,218 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "models.Quizzes",
"line_number": 8,
"usage_type": "name"
},
{... |
29497895962 | from utils.flask.app import app
from utils.db import Book
from flask import request, jsonify
import json
@app.route('/updatespitslot', methods=['GET', 'POST'])
def upload_spitslotinfo():
data = json.loads(request.get_data(as_text=True))
if data['key'] != 'updatespitslot' or 'stu_uuid' not in data.keys() or 'i... | Emanual20/StuinfoDisplayProject | server/utils/router/spitslot.py | spitslot.py | py | 1,062 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.get_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"lin... |
43899986443 | import os
import test
import shutil
import unittest
from xml.dom import minidom
from xmp import XMP
class XMPTestCase(unittest.TestCase):
"""Tests for `xmp.py`."""
def test_decode_tag_size(self):
"""decode_tag_size - Read section size from byte pair"""
self.assertEqual(XMP.decode_tag_size(b'\... | ntieman/blender-facebook-360 | test/test_xmp.py | test_xmp.py | py | 3,506 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "xmp.XMP.decode_tag_size",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "xmp.XMP",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "xmp.XMP.decode_... |
24577754108 | import random
from time import sleep
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.firefox.... | david-ajax/LGSpider-HydroOJ | main.py | main.py | py | 3,329 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.firefox.firefox_profile.FirefoxProfile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_numbe... |
41385226539 | #!/usr/bin/env python
# coding: utf-8
# # Design of a Multi-Zone VAV System (the Shorter Way)
# ---
# In this notebook the example from the previous notebook **Design of a Multi-Zone VAV System (the Long Way)** is repeated, but now the `VAVSystem` class will be used, which automates the design procedure of a multi-zo... | TomLXXVI/Air-Conditioning | _build/jupyter_execute/vav_multizone_design_p2.py | vav_multizone_design_p2.py | py | 11,004 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "deps.load_packages",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "jupyter_addons.set_css",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "hvac.Quantity",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "hvac.air_cond... |
40014308279 | from collections import deque
class Cell:
def __init__(self, x: int, y: int):
self.x = x
self.y = y
class Node:
def __init__(self, pt: Cell, dist: int):
self.pt = pt
self.dist = dist
def is_valid(r, c, tr, tc):
return (r >= 0) and (r < tr) and (c >= 0) and (c < tc)
de... | asmitak11/sample-project | main.py | main.py | py | 1,391 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 26,
"usage_type": "call"
}
] |
4086714077 | import random
import typing as t
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
from langchain.embeddings import HuggingFaceInstructEmbeddings
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.preprocessing import MinMaxScaler
from bunkatopics.datamodel import Bour... | charlesdedampierre/BunkaTopics | bunkatopics/visualisation/bourdieu.py | bourdieu.py | py | 20,127 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "pandas.options",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "langchain.embeddings.HuggingFaceInstructEmbeddings",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 23,
"usage_type": "attribute"
},
... |
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