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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18446441275 | # -*- coding: utf-8 -*-
###
# Nesta etapa as distribuições já foram construidas
#
__author__ = 'sidon'
from sklearn import svm
from sklearn.metrics import confusion_matrix
from .utilclf import *
import utils
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
from sklearn.metrics import recall... | Sidon/dwt | clfs/matrix3.py | matrix3.py | py | 2,912 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sklearn.svm.SVC",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.svm",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "sklearn.... |
23589979517 | import numpy as np
from sklearn.metrics import f1_score
def accuracy(input, target):
assert len(input.shape) == 1
return sum(input==target)/input.shape[0]
def averaged_f1_score(input, target):
N, label_size = input.shape
f1s = []
for i in range(label_size):
f1 = f1_score(input[:, i], target[:, i])
f1... | msy1412/ABAW4 | utils/evaluation_metric.py | evaluation_metric.py | py | 967 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "sklearn.metrics.f1_score",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"... |
2970540492 | import socket
import os
import sys
import datetime
import pickle
import time
#160401019
#Sena Günay
host = "127.0.0.1"
port = 142
greenwich=datetime.datetime.utcnow()
zaman=datetime.datetime.now()
ilk_zaman=[zaman.hour,zaman.minute,zaman.second,zaman.microsecond]
utc=zaman.hour-greenwich.hour
if... | nyucel/blm304 | final/160401019/Sunucu/sunucu.py | sunucu.py | py | 1,042 | python | tr | code | 8 | github-code | 21 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": ... |
18587405351 | """
Module for parsing astronomical object names to extract embedded coordinates
eg: '2MASS J06495091-0737408'.
"""
import re
import numpy as np
import astropy.units as u
from astropy.coordinates import SkyCoord
RA_REGEX = r"()([0-2]\d)([0-5]\d)([0-5]\d)\.?(\d{0,3})"
DEC_REGEX = r"([+-])(\d{1,2})([0-5]\d)([0-5]\d)\... | astropy/astropy | astropy/coordinates/jparser.py | jparser.py | py | 1,865 | python | en | code | 4,015 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.split",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "astropy.units.hourangle",
"lin... |
26995196808 | import pymesh
import numpy as np
from scipy.spatial import cKDTree
# This script evaluates which pdbs in a list involve a receptor: helix binder.
# Useful tools : It invokes dssp
from IPython.core.debugger import set_trace
import os
datadir = '/home/gainza/lpdi_fs/masif_design_paper/masif/data/masif_site'
pdbdir = o... | pablogainza/my_scripts | biopython/compute_helices.py | compute_helices.py | py | 3,958 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
25272179170 | import matplotlib.pyplot as plt
from causalset import CausalSet
from causalsetfunctions import compute_spacetimecuts_uniform_Rindler, compute_spacetimecuts_tube
def main():
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
# boundsArray, adjusted_rho, l, adjusted_l = compute_spacetimecuts_unif... | hinchilee/Causal_Sets | visualise_lambda_molecules.py | visualise_lambda_molecules.py | py | 2,031 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "causalsetfunctions.compute_spacetimecuts_tube",
"line_number": 16,
"usage_type": "call"
},
{... |
70585986612 | """
The main StructEdit network architecture
"""
import os
import sys
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
from chamfer_distance import ChamferDistance
from data import Tree
from utils import linear_assignment, load_pts, transform_pc_batch, get_surface_reweighting_ba... | daerduoCarey/structedit | code/model.py | model.py | py | 34,499 | python | en | code | 36 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
18406266219 | from itertools import accumulate; import math; import operator; import random; import string; from bisect import *; from collections import deque, defaultdict, Counter, OrderedDict; from functools import reduce,cache; from heapq import *; import unittest; from typing import List,Optional; from functools import cache; f... | afzalsiddique/problem-solving | Problem_Solving_Python/leetcode/lc72.py | lc72.py | py | 1,772 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "functools.cache",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 36,
"usage_type": "attribute"
}
] |
1052928264 | import sys
from datetime import datetime, timedelta
from request_maker import RequestMaker
from utils import JSONUtils, OSFileOperations
class EpochGenerator:
def get_new_epoch_time(self, date=datetime.now(), days=0):
delta = timedelta(days=days)
new_date = date + delta
epoch_time = new_d... | udwivedi394/social-studio-posts | get_posts.py | get_posts.py | py | 8,556 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "utils.JSONUt... |
41164349389 | #!/usr/bin/env python2
""" Cassandra data backup. """
import logging
import os
import subprocess
import sys
import time
from appscale.common import appscale_info
from appscale.common import appscale_utils
from appscale.common import monit_interface
from appscale.common.constants import APPSCALE_DATA_DIR
from appscale... | HafeezRai/appscale | AppDB/appscale/datastore/backup/cassandra_backup.py | cassandra_backup.py | py | 9,822 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "appscale.common.unpackaged.INFRASTRUCTURE_MANAGER_DIR",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "sys.path",
"line_number": 26,
"usage_type": "attribute"
},
... |
74074134133 | from fastapi import FastAPI, WebSocket
# pip install websockets, fastapi, uvicorn[standard]
# uvicorn server:app --reload --port 8000
import random
import json
import asyncio
app = FastAPI()
@app.websocket("/ws")
async def websocket_endpoint(websocket:WebSocket):
await websocket.accept()
print("accepted")
... | erdene-k/WEBGL-shapes-fastapi | server.py | server.py | py | 803 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "fastapi.WebSocket",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "random.uniform",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "random.uniform",
... |
18680124447 | import math
import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from collections import Counter
import matplotlib.pyplot as plt
from collections import namedtuple
from time import clock
from random import random
class ValueError(Exception):
def __init__(se... | 1249402434/Algorithm | KNN.py | KNN.py | py | 6,495 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "math.pow",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number":... |
4161217881 | import numpy as np
import cv2
import matplotlib.pyplot as plt
# print("Getting started")
#### here's how to load images
bkgrn_img = cv2.imread('Day4/Images/b.jpg', 0)
q_img = cv2.imread('Day4/Images/1.jpg', 0)
# this reads in the image as a grayscale image
blur_q = cv2.GaussianBlur(q_img,(5,5),1)
blur_b = cv2.Gau... | nds-jeebu/SmolGunz | Day4/BackgroundSubtraction.py | BackgroundSubtraction.py | py | 893 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.GaussianBlur",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.GaussianBlur",
"line_nu... |
20483500350 | from fastapi import FastAPI, Body, Cookie, Depends, Header, Query, Path
from pydantic import BaseModel, Field, HttpUrl
from fastapi.middleware.cors import CORSMiddleware
# from app.api.api import api_router
app = FastAPI()
origins = [
"http://localhost.tiangolo.com",
"https://localhost.tiangolo.com",
"ht... | xreip/UPS_Monitoring_svelte_fastapi | backend_ups/app/main.py | main.py | py | 1,574 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 18,
"usage_type": "argument"
}
] |
30567532947 | """
This library acts as an intermediate to between the database and the server. This also function as the main code for connecting between the server and the front end.
"""
from flask import Flask, request, jsonify, redirect, url_for, Response, g
from flask_cors import CORS, cross_origin
from flask_oauthlib.client imp... | FiresoftPH/Canarie | Libs/parrot_server.py | parrot_server.py | py | 18,261 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "threading.Lock",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "dotenv.dotenv_values",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "parrot_db.Database",
... |
4626144123 | import logging
from appium.webdriver import WebElement
from appium.webdriver.common.mobileby import MobileBy
from appium.webdriver.webdriver import WebDriver
class BasePage:
def __init__(self, driver: WebDriver = None):
self.driver = driver
def find(self, by, locator):
return self.driver.fi... | ceshiren/HogwartsSDET16 | test_appium/page2/base_page.py | base_page.py | py | 1,669 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "appium.webdriver.webdriver.WebDriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "appium.webdriver.common.mobileby.MobileBy.ANDROID_UIAUTOMATOR",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "appium.webdriver.common.mobileby.MobileBy... |
29642840156 | from adls_module import ADLSModule
from steamgames_silver_transform import SteamGamesSilverTransform
# import os
import yaml
import os
import sys
from pathlib import Path
import pandas as pd
def testing():
print("a")
# Import custom scripts
# src_path=AIRFLOW_HOME+'/plugins/scripts/steam_project'
# sys.path.app... | VinhQuocTran/SteamGame_ETL_pipeline | src/steam_driver.py | steam_driver.py | py | 1,614 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getenv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "adls_module.ADLSModule",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
75136876853 | from fastapi import APIRouter, Depends,HTTPException
from sqlalchemy.orm import Session
from models.cameras import Cameras
from schemas.camera import createCamera,Camera, currentPos, renewCamera
from uuid import uuid4, UUID
from utils.db.db import get_db
from utils.gmaps.googleapi import getAddress
# This is the camer... | ThePylaa/googleMapsAddon | api/app/routers/camera.py | camera.py | py | 2,318 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "uuid.UUID",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
... |
74871779571 | import numpy as np
import argparse
import imutils
import time
import cv2
import tensorflow.keras
np.set_printoptions(suppress=True)
model = tensorflow.keras.models.load_model('keras_model.h5')
ap = argparse.ArgumentParser()
ap.add_argument("-c", "--confidence", type=float, default=0.3,
help="minimum probability to ... | ebtesam25/immunipass | webapp/camera.py | camera.py | py | 2,328 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.keras.models.load_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.keras",
"line_number": 9,
"usage_type": "attribute"
},
... |
34739873496 | import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
# Read in the image and print out some stats
image = mpimg.imread('test.jpg')
#print('This image is: ', type(image), 'with dimensions: ', image.shape)
# Grab the x and y size and make a copy of the image
ysize = image.shape[0]
xsize ... | aravindk2604/self-driving-car-nd | cv_fundamentals/colorAndRegion.py | colorAndRegion.py | py | 1,997 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.image.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.image",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.copy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"l... |
642474703 |
import os
import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
from datetime import datetime as dt
import pandas as pd
import plotly.graph_objs as go
########################################
##
## prepping data
##
#############################... | GWarrenn/dc-stop-frisk-dash | app.py | app.py | py | 8,903 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "dash.Dash",
"line... |
33775271866 | import os
from boto.s3.connection import OrdinaryCallingFormat
from os import environ as env
# Auth
AUTH = "https://gdc-portal.nci.nih.gov/auth/keystone/v3/"
INTERNAL_AUTH = env.get("INTERNAL_AUTH", "https://gdc-portal.nci.nih.gov/auth/")
AUTH_ADMIN_CREDS = {
"domain_name": env.get("KEYSTONE_DOMAIN"),
"userna... | uc-cdis/peregrine | peregrine/dev_settings.example.py | dev_settings.example.py | py | 3,046 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number"... |
34021794142 | #------------------------------------- https://github.com/m4mallu/ashesOFpheonix -------------------------------------#
import os
import time
import logging
from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton
from pyrogram.errors import FloodWait
from helper.gen_ss_help import cult_small_video
from tr... | m4mallu/ashesOFpheonix | plugins/trim_video.py | trim_video.py | py | 3,207 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.getL... |
5211673560 | """
This script matches MovieRecommendationsALSDataset.scala.
"""
import argparse
import pyspark.sql.functions as sf
from pyspark.ml.recommendation import ALS
from pyspark.sql import SparkSession
from pyspark.sql.types import StructType, IntegerType, StringType, LongType
def get_args() -> argparse.Namespace:
pars... | Tomer0013/pyspark-examples | MovieRecommendationsALSDataFrame.py | MovieRecommendationsALSDataFrame.py | py | 2,303 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.Namespace",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "argparse.Namespace",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name"... |
72872694452 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.io import loadmat
from shapely.geometry import Polygon, Point
# load matrix
mat_contents = loadmat('matrice.mat')
X = mat_contents['Mat']
X_att = ['ID', 'LocalHour', 'Latitude', 'Longitude', 'Weekday']
npts, natt = X.shape
# load sihex ... | hibertclement/eqdiscrim | SiHex_discrim/ProjAurelie/classification_aurelie.py | classification_aurelie.py | py | 2,442 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.... |
12588751163 | #!/usr/bin/env python3
from setuptools import setup, find_packages
# configure the setup to install from specific repos and users
DESC = 'Rapid proto typing framework for creating memory analysis overlays'
setup(name='overlay-prototyping',
version='1.0',
description=DESC,
author='adam pridgen',
... | trumetaverse/overlay-prototyping | setup.py | setup.py | py | 536 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 13,
"usage_type": "call"
}
] |
34664190353 | from __future__ import print_function
import os.path
import pickle
from datetime import datetime, timedelta
from pathlib import Path
from threading import RLock
from google.auth.transport.requests import Request
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from c... | Diverso-NVR/NVR | backend/core/apis/calendar_api.py | calendar_api.py | py | 3,792 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "threading.RLock",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.home",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.path.exists",
... |
35878330006 | # -*- coding: utf-8 -*-
# PyTorch 0.4.1, https://pytorch.org/docs/stable/index.html
# =============================================================================
# @article{zhang2017beyond,
# title={Beyond a {Gaussian} denoiser: Residual learning of deep {CNN} for image denoising},
# author={Zhang, Kai and Z... | UIUC-SINE/icon-fuv | python3/iconfuv/destarring/main_train.py | main_train.py | py | 10,741 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "os.pa... |
34144017157 | #!/usr/bin/env python
import os
import numpy as np
from timeit import default_timer as timer
import eigensystem
import diff
from custom_parser import parse
from tools import cd
def main(b, d, n, delta_n, st_epsilon, lvl_epsilon, cut=0):
print("Running with: B = " + str(b) + " D = " + str(d) + " N = " + str(n))
... | SebastianM-C/Nuclear-surface-vibrations | src/quantum/Scripts/select_rep.py | select_rep.py | py | 2,285 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "tools.cd",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "timeit.default_timer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "eigensystem.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "diff.stable",
"line... |
3785123695 | from django.urls import path
from .views import Doar, MapaDoacao, ProdutosDoacao
app_name = 'doacaoapi'
urlpatterns = [
path('grupo/<int:pk>', ProdutosDoacao.as_view(), name='produto_list'),
path('doar/<int:pk>', Doar.as_view(), name='doar'),
path('', MapaDoacao.as_view(), name='list'),
]
| celsorv/cesta | api/v1/doacaoapi/urls.py | urls.py | py | 305 | python | pt | code | 3 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.ProdutosDoacao.as_view",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.ProdutosDoacao",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "djang... |
3036095710 | import bpy
from Bonera_Toolkit import Utility_Functions
import os
import pathlib
import mathutils
import math
import numpy
def midpoint(coordinates, mode):
if len(coordinates) > 0:
if mode == "BOUNDING_BOX":
x= []
y= []
z= []
for coordinate in coordin... | BlenderBoi/Bonera | Utility_Operator/Add_Selected_Objects_To_Bone_Shape_Library.py | Add_Selected_Objects_To_Bone_Shape_Library.py | py | 8,248 | python | en | code | 23 | github-code | 21 | [
{
"api_name": "mathutils.Vector",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "mathutils.Vector",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
73035563573 | import pytest
from thefuck.rules.sudo_command_from_user_path import match, get_new_command
from tests.utils import Command
stderr = 'sudo: {}: command not found'
@pytest.fixture(autouse=True)
def which(mocker):
return mocker.patch('thefuck.rules.sudo_command_from_user_path.which',
return... | LiuFang816/SALSTM_py_data | python/nvbn_thefuck/thefuck-master/tests/rules/test_sudo_command_from_user_path.py | test_sudo_command_from_user_path.py | py | 1,407 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "thefuck.rules.sudo_command_from_user_path.match",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tests.utils.Command",
"line_number": 19,
"usage_type": "call"
},
{
... |
2430646820 | #import youtube-dl
from __future__ import unicode_literals
import yt_dlp
#import PyUsb
import usb
#import google search
try:
from googlesearch import search
except ImportError:
print("No module named 'google' found")
import os
#CHANGE THE HOME FOLDER TO THE FOLDER PATH YOU WANT TO DOWNL... | nreichen/clonehero-video-downloader | CH-VideoScript.py | CH-VideoScript.py | py | 1,030 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "os.chdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "googlesearch.search",
"line_number"... |
27505392967 | #!/usr/bin/env python
# coding: utf-8
import codecs
import os
import yaml
from utils import print_out, file_name
class Config(dict):
def __init__(self, *args, **kwargs) -> None:
super(Config, self).__init__(*args, **kwargs)
margs = self.__read_params()
self.update(margs)
parg... | zhuwenbo1988/nlp | generative_chitchat/keyword_seq2seq/config.py | config.py | py | 3,862 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
37483278072 | from django.conf import settings
from django.conf.urls.static import static
from django.conf.urls import handler404, handler500
from django.contrib import admin
from django.contrib.flatpages import views
from django.urls import include, path
from django.views.static import serve
from django.conf.urls import url
handle... | kuzminArtur/hw05_final | yatube/urls.py | urls.py | py | 2,012 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.handler404",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.handler500",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name... |
12954671954 | import mimetypes
import os
from email.mime.application import MIMEApplication
from email.mime.audio import MIMEAudio
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from Dmail.mixin import MimeBaseMixin
class MimeMixin(MimeBaseMixin):
de... | hmiladhia/Dmail | Dmail/mixin/mime_mixin.py | mime_mixin.py | py | 2,607 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "Dmail.mixin.MimeBaseMixin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 18,
"usage_type": "call"
},
{
... |
33300882207 | ################ 手动输入以下内容 ##################
## 用户名 (手机号/邮箱)
USER = ''
## 密码
PASSWORD = ''
## 曾经登录的时间戳（若连续登录则取第一天）；
## 无内容则提交当前登录时间；
## 可自定义（在输出结果中提取，或自行抓取“Hm_lvt”字样的cookie）
PastLoginTime = ''
#################################################
from requests import post, get
from time import time
from re import sub ... | hepsontam/BTBar_Checkin | BTBar.py | BTBar.py | py | 6,145 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions.InsecureRequestWarning",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "requests.post",
"line_number": 56,
"usage_type": "call"
},
{
... |
33816767895 | import uuid
from datetime import datetime
from sqlalchemy import ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy import desc
from utils.logger import *
from src.models.base import Database
import logging
logger = logging.getLogger(__name__)
class NotifyToken(Database.get().Model):
_... | ClearKeep/ck-backend | src/models/notify_token.py | notify_token.py | py | 3,338 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "src.models.base.Database.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "src.models.base.Database",
"line_number": 12,
"usage_type": "name"
},
{
"api_name"... |
42227109292 | # -*- coding: UTF-8 -*-
"""
:Script: pie.py
:Author: Dan.Patterson@carleton.ca
:Modified: 2017-02-21
:Purpose: point in extent
:Useage:
:
:References:
:
:---------------------------------------------------------------------:
"""
# ---- imports, formats, constants ----
import sys
import numpy as np
i... | Dan-Patterson/arraytools | arraytools/geometry/Extras/pie.py | pie.py | py | 5,310 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.ma.masked_print_option.set_display",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.ma",
"line_number": 24,
"usage_type": "attribute"
},
{
"api... |
73966791414 | # Starter code for implmenting manifold modeling.
# Marc Feldman (mfeldm21)
# Jonathan Liu (jliu118)
import sklearn.manifold
import statsmodels.api as sm
# http://statsmodels.sourceforge.net/devel/generated/statsmodels.nonparametric.smoothers_lowess.lowess.html
# C is a set of predicted centers (x_i, y_i, z_i)
def m... | jonl1096/cell-segmentation-mlfinal | manifold_modeling.py | manifold_modeling.py | py | 1,104 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "statsmodels.api.nonparametric",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "statsmodels.api",
"line_number": 12,
"usage_type": "name"
}
] |
9120324255 | import numpy as np
import pandas as pd
import pytest
import xarray as xr
from xarray.core.groupby import _consolidate_slices
from . import assert_identical
def test_consolidate_slices():
assert _consolidate_slices([slice(3), slice(3, 5)]) == [slice(5)]
assert _consolidate_slices([slice(2, 3), slice(3, 6)])... | timothyyu/ml_monorepo | xarray/xarray/tests/test_groupby.py | test_groupby.py | py | 3,616 | python | en | code | 59 | github-code | 21 | [
{
"api_name": "xarray.core.groupby._consolidate_slices",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "xarray.core.groupby._consolidate_slices",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "xarray.core.groupby._consolidate_slices",
"line_number": 15,
... |
28431264063 | # _*_ coding: utf-8 _*_
import os
from numpy.core.records import record
from numpy.lib.function_base import _select_dispatcher
import pyaudio
import threading
import wave
import time
import matplotlib.pyplot as plt
import numpy as np
import copy
from datetime import datetime
from denoise import *
class Recorder:
... | sanhhuang/signal_system | recordaudio.py | recordaudio.py | py | 4,904 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyaudio.paInt16",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "threading._start_new_thread",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "pyau... |
22801583643 | import boto3
import json
# from datetime import datetime
def lambda_handler(event, context):
app = GetResources()
app.main()
class GetResources(object):
def __init__(self):
self.rds = boto3.client('rds')
self.s3 = boto3.resource('s3')
# self.file_path = '/tmp/instances_informat... | isjin/aws-python3-boto3 | lamdba/get_resource/get_rds_resources.py | get_rds_resources.py | py | 2,718 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.client",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 32,
"usage_type": "call"
}
] |
12938257482 | from ctypes import *
import math
import random
import os
import cv2
import numpy as np
import time
import darknet
import matplotlib.pyplot as plt
from numpy.linalg import det
global Judgment_Processing
def convertBack(x, y, w, h):
xmin = int(round(x - (w / 2)))
xmax = int(round(x + (w / 2)))
ymin = int(r... | SunJJ1996/BPU_project | BPUproject.py | BPUproject.py | py | 15,380 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.rectangle",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cv2.putText",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "cv2.circle",
... |
565285063 | import sys
import os
import glob
import re
import gzip
import array
import loompy
import numpy as np
import random
import string
import subprocess
import multiprocessing
import csv
import itertools
from collections import defaultdict
import logging
import h5py
from typing import *
import velocyto as vcy
def id_genera... | velocyto-team/velocyto.py | velocyto/commands/_run.py | _run.py | py | 14,493 | python | en | code | 148 | github-code | 21 | [
{
"api_name": "string.ascii_uppercase",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.... |
8651016098 | import os
import argparse
from tqdm import tqdm
import pandas as pd
from PIL import Image
from datetime import datetime
import imquality.brisque as brisque
ACCEPTED_IMAGE_FORMAT = [".jpg", ".png", ".JPG"]
# https://github.com/ocampor/image-quality
# python compute_image_quality_ter.py -i R:\IMAS\Antarctic_Seafloor\Cl... | charleygros/biigle_scripts | compute_image_quality_ter.py | compute_image_quality_ter.py | py | 3,971 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.SUPPRESS",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path"... |
31894579971 | from typing import List
import config
import openai
import pinecone
import tiktoken
def init_pinecone():
pinecone.init(
api_key = config.PINECONE_API_KEY,
environment = config.PINECONE_ENVIRONMENT
)
def get_index_pinecone(index_name=config.PINECONE_INDEX_NAME):
init_pinecone()... | HuynhTrong18/Flask_Embedding | my_def.py | my_def.py | py | 6,358 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pinecone.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.PINECONE_API_KEY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "config.PINECONE_ENVIRONMENT",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_nam... |
19353156977 | import logging
from logging.handlers import TimedRotatingFileHandler
from pathlib import Path
log = logging.getLogger('log')
try:
Path.mkdir(Path(Path.cwd(), './logs/'), exist_ok=True)
except Exception as error:
print(f'Ошибка при создании папки логов')
raise
rotation_handler = TimedRotatingFileHandler('.... | Hafurfur/MangaNotificationBotTg | src/logger/base_logger.py | base_logger.py | py | 812 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.mkdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pathlib.Path.cwd",
... |
35156167141 |
from matplotlib import pyplot as plt
def DrawF(people):
y1 = [i[1] for i in people.record_fatigue ]
x1 = [i[0] for i in people.record_fatigue ]
plt.plot(x1, y1, label='fatigue', linewidth=1, color='r', marker='o',
markerfacecolor='blue', markersize=2)
plt.xlabel('time')
plt.ylabel... | tcjdsg/GA | draw/drawFatigue.py | drawFatigue.py | py | 364 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mat... |
73034315253 | import matplotlib.mlab as mlab
from matplotlib.pyplot import figure, show
import numpy as np
y = np.arange(0.0, 2, 0.01)
x1 = np.sin(2*np.pi*y)
x2 = 1.2*np.sin(4*np.pi*y)
fig = figure()
ax1 = fig.add_subplot(311)
ax2 = fig.add_subplot(312, sharex=ax1)
ax3 = fig.add_subplot(313, sharex=ax1)
ax1.fill_betweenx(y, 0, x... | LiuFang816/SALSTM_py_data | python/matplotlib_matplotlib/matplotlib-master/examples/pylab_examples/fill_betweenx_demo.py | fill_betweenx_demo.py | py | 1,498 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 8,
... |
17671745491 | #!/usr/bin/env python3
# -*- mode:python; coding:utf-8; -*-
# author: Eugene Zamriy <ezamriy@almalinux.org>
# created: 2021-06-09
"""
Submits a Mattermost chat server statistics to an MQTT topic.
MQTT topic name format:
stats/social/{chat_server}
The program uses the JSON format to encode a message:
{
... | AlmaLinux/almalinux-witness | bin/mattermost_stats_sensor.py | mattermost_stats_sensor.py | py | 3,406 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "almawitness.sensors.common.add_mqtt_arg_parser_args",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 50,
"usage_type": "a... |
8193562767 | import re
from ics import Calendar, Event
from .fetch import url_for_facility, fetch_next_days_for_branch
def calendar_event_for_event(branch, event):
return Event(
name=event.name,
begin=event.start,
end=event.end,
uid=event.eid,
location=event.location,
url=even... | streeter/sf-ymca-pools | sfymca/feed/calendar.py | calendar.py | py | 1,134 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ics.Event",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fetch.fetch_next_days_for_branch",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "ics.Calendar",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "ics.Event",
... |
25708782318 | import string
import random
import time
import matplotlib.pyplot as plt
from typing import Optional
from timeit import timeit
from time import process_time_ns
from lib import LevenshteinFunc, func_description as levenshtein_func_description
from lib import (
levenshtein_recurs,
levenshtein_recurs_mem,
da... | ivaaahn/bmstu-aa | lab_01/analysis.py | analysis.py | py | 3,610 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "lib.LevenshteinFunc",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "lib.func_description",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "lib.LevenshteinFunc",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "lib.Leve... |
2475954495 | from pydantic import BaseModel, Field
# from pydantic.types import Decimal
class CategoryCreateForm(BaseModel):
name: str = Field(
title='Category Name',
description='Category Name',
max_length=64
)
class CategoryDetail(CategoryCreateForm):
id: int = Field(
title='Categor... | ArtsemDev/prof10fastapi | core/schemas/category.py | category.py | py | 431 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pydantic.Field",
"line_number": 14,
"usage_type": "call"
}
] |
6758832438 | import os
import io
import requests
import boto3
import json
from PIL import Image
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
logging.getLogger('botocore').setLevel(logging.WARNING)
if os.environ.get('AWS_EXECUTION_ENV') is None:
session = boto3.Session(profile_name='my-local-aws-pr... | holmberd/unsplash-collector-aws-lambda | unsplash-lambda.py | unsplash-lambda.py | py | 4,046 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.WARNING"... |
27643010675 | import loady
import sys
import json
import time
class FakeQueue:
def put(self, name):
ts = time.strftime('%x %X')
print('{}: {}'.format(ts, name))
def fake_trigger(name):
ts = time.strftime('%x %X')
print('{}: {}'.format(ts, name))
def run(config):
with open(config, 'r') as cfg:
... | ManiacalLabs/BiblioPixelTriggers | test.py | test.py | py | 597 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.strftime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "loady.code.load",
"line_numb... |
31134566118 | from setuptools import setup
requirements = []
with open('requirements.txt') as rf:
requirements = rf.read().splitlines()
setup(
author="ibanner56",
url="https://github.com/ibanner56/OtherDave",
version="2.0.9",
packages=["otherdave", "otherdave.commands", "otherdave.util"],
test_suite="test",
... | ibanner56/OtherDave | setup.py | setup.py | py | 477 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
}
] |
38469884164 | import asyncio
import discord
import psycopg2
from cogs.utility import thingInList, sqlEXE, Owner_id
from discord.ext import commands
from discord.ext.commands import Cog
from string import capwords
class Rewards(Cog):
def __init__(self, client):
self.client = client
# Command to add a reward to the ... | Tyrusss/CornBot-Discord | cogs/rewards.py | rewards.py | py | 6,417 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "cogs.utility.Owner_id",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "cogs.utility.thingInList",
"line_number": 29,
"usage_type": "call"
},
{
"api_name"... |
72135557492 | from flask import Blueprint, jsonify, request
import json, logging, logging.config, sqlite3
with open("logging.json", "r") as logging_file:
logging.config.dictConfig(json.load(logging_file))
logger = logging.getLogger("db_service")
with open("config.json", "r") as config_file:
app_config = json.load(config_fi... | anirudhtomer/NLPImageSearch | liir_image_search/server/db_service.py | db_service.py | py | 4,437 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.config.dictConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.getLogge... |
23824587867 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 14 17:35:46 2020
@author: sdhulipa
"""
###############################################################################
# Surya
# NREL
# October 2020
# Generate a CSV with mapping information from EIA-860 Solar Plants
# to EV SS data acquired recently
# Using... | scdhulipala/GeneratorMapping | Scripts/EV-PV-Mapping.py | EV-PV-Mapping.py | py | 3,668 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.read_excel",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "geopy.Point",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "geopy.Point",
"li... |
25632520814 | from flask import Flask, render_template, abort,send_from_directory
from pymongo import MongoClient
import matplotlib.pyplot as plt
from nltk.probability import FreqDist
from io import BytesIO
import base64
import matplotlib
matplotlib.use('agg')
import os
import sys
import nltk
nltk.download('punkt')
app = Flask(__na... | oubaidHL/Breaking-News-Trends-Detection | Flask_mongo/app.py | app.py | py | 2,069 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.send_from_directory",
... |
13588379372 | import sys
import os
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), ".."))
import pytest
import torch
from lib.modules.layers.vit import (
SWINTransformerBlock,
SWINTransformerBlockStack,
)
from lib.modules.layers.adn_fn import get_adn_fn
image_size = [32, 32, 16]
patch_size = [4, 4... | CCIG-Champalimaud/adell-mri | testing/test_swin.py | test_swin.py | py | 3,576 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
36457172272 | from PyQt5.QtWidgets import QDialog
from PyQt5.QtWidgets import QLabel
from PyQt5.QtWidgets import QPushButton
from PyQt5.QtWidgets import QVBoxLayout
from PyQt5.QtWidgets import QHBoxLayout
from PyQt5.QtCore import Qt
from design import Style
class DialogMessageBox(QDialog):
def __init__(self, text, btnYesOrNo=F... | Choewonyeong/Standard_Project1 | component/dialog/DialogMessageBox.py | DialogMessageBox.py | py | 2,726 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QDialog.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 12,
"usage_type": "name"
},
{
"... |
43580085235 | import fnmatch
import re
import logging
from dynamo.web.modules._base import WebModule
from dynamo.dataformat import Dataset, Group
LOG = logging.getLogger(__name__)
class ListData(WebModule):
"""
data listing
"""
def __init__(self, config):
WebModule.__init__(self, config)
def run(self... | SmartDataProjects/dynamo | lib/web/modules/inventory/data.py | data.py | py | 1,993 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dynamo.web.modules._base.WebModule",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "dynamo.web.modules._base.WebModule.__init__",
"line_number": 16,
"usage_type": "call"... |
32955634334 | from parsita import ParserContext, lit, opt, reg, rep
class ExpressionParsers(ParserContext, whitespace=r"[ ]*"):
number = reg(r"[+-]?\d+(\.\d+)?(e[+-]?\d+)?") > float
base = "(" >> expr << ")" | number
factor = base & opt("^" >> base) > (lambda x: x[0] ** x[1][0] if x[1] else x[0])
def make_term(a... | drhagen/parsita | examples/expressions.py | expressions.py | py | 1,198 | python | en | code | 89 | github-code | 21 | [
{
"api_name": "parsita.ParserContext",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "parsita.reg",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "parsita.opt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "parsita.rep",
"line_nu... |
70530446134 | import configargparse
import os
import sys
from display import display_pokemon, start_slideshow, InvalidGenerationError
import random
from lib.constants import GENERATIONS
from lib.backend.server import app # Import Flask app from server.py
def main():
config_file = os.path.join(os.getcwd(), 'omni-epd.ini')
... | wilks7/pokedexEPD | app.py | app.py | py | 1,536 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "configargparse.ArgParser",
"l... |
27264570718 | import sys, os
filename = os.path.join(os.path.dirname(__file__), '..')
sys.path.insert(1, filename)
from zoomapi import JWTZoomClient
import json
from configparser import ConfigParser
parser = ConfigParser()
parser.read("bots/bot.ini")
api_key = parser.get("JWT", "api_key")
api_secret = parser.get("JWT", "api_secret... | crista/zoomapi | bots/jwtbot.py | jwtbot.py | py | 757 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_nu... |
28034220157 | #!/usr/bin/env python3
import glob
import numpy
import io
import qm3
import qm3.data
import qm3.utils
import qm3.utils.interpolation
import qm3.engines.mmres
import matplotlib.pyplot as plt
lst = sorted( glob.glob( "node.??" ) )
mol = qm3.molecule()
mol.pdb_read( open( lst[0] ) )
mol.psf_read( open( "oxy-cope... | sergio-marti/ren-qm3 | samples/oxy-cope/mk_setup.py | mk_setup.py | py | 2,495 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "glob.glob",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "qm3.molecule",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "qm3.molecule",
"line_number": ... |
13276525071 | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 24 19:36:22 2019
@author: SugarBox
"""
from json import loads
from kafka import KafkaConsumer
# To consume latest messages and auto-commit offsets
consumer = KafkaConsumer('order_sales',
bootstrap_servers='localhost:9092',
... | nikhilsarma/spark_utilities | sales_consumer.py | sales_consumer.py | py | 855 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "kafka.KafkaConsumer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
}
] |
74083923574 | import pyautogui
import cv2
lista=[]
def coordenada_inicial():
pyautogui.moveTo(830, 259, duration=0.25)
x,y = pyautogui.position()
#print(x,y)
return x,y
#print(f'--->{type(coordenada_inicial())}')
coordenada_final=(830, 259)
try:
while coordenada_inicial() == coordenada_final:
x,y = py... | JuanSebastian07/SayWhisky | saywhisky.py | saywhisky.py | py | 731 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyautogui.moveTo",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyautogui.position",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyautogui.position",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture... |
20601591271 | from fractions import Fraction as fr
def egypt_divide(p:int,q:int)->int:
if p<1 or p>1000 or q<=p or q>2000:
print("p와 q의 범위를 재확인하시오")
return 'error'
input=fr(p,q)
res=input
count=0
while(res!=0):
res=res-rev(res)
count+=1
return count
def rev(a:fr)->fr:
... | hagishil/private_project | Hw1.py | Hw1.py | py | 591 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fractions.Fraction",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fractions.Fraction",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "fractions.Fraction",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "fractions.Fra... |
23971096027 | #! /usr/bin/env python3.6
"""
server.py
Stripe Sample.
Python 3.6 or newer required.
"""
from os import environ
from flask import Flask, jsonify, request, url_for, render_template
import stripe
# This is your real test secret API key.
stripe.api_key = environ['STRIPE_API_KEY']
app = Flask(__name__,
static_u... | arjunbrara123/Flask_eCommerce | main.py | main.py | py | 1,527 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "stripe.api_key",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
15813832516 | import copy
import numpy as np
import scipy.stats
# Done by Boychenko Dmytro IB-83 variant
print("Variant 302 Boychenko Dmytro IB-83")
def get_sum(*args): # take int X or array Xi_values for multiplication
args_enc = () # empty tuple for receiving encrypted values
encrypt = { # decryption table
4:... | marchiani/MOPELABA5 | lab5.py | lab5.py | py | 13,796 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.randint",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "numpy.ra... |
71605638132 | """
base class defines the procedure with that the TFrecord data is produced.
"""
import time
import os
from typing import Optional
from multiprocessing import Pool
from functools import partial
import tensorflow as tf
# from graph_nets import utils_tf
from root_gnn.src.datasets import graph
import subprocess
def lin... | xju2/root_gnn | root_gnn/src/datasets/base.py | base.py | py | 4,858 | python | en | code | 13 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "root_gnn.src.datasets.gra... |
86499536194 | """Find the titles of the top visited Vroots.
This program will take a CSV data file and output lines of
Vroot Title
To run:
python count_titles_solution.py anonymous-msweb.data
"""
from mrjob.job import MRJob
import csv
def csv_readline(line):
"""Given a sting CSV line, return a list of strings."""
f... | kagamikuro/CMT202-Distributed-and-Cloud-Computing | Labs/Lab2/Lab 2 solutions/count_titles_solution.py | count_titles_solution.py | py | 1,270 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mrjob.job.MRJob",
"line_number": 16,
"usage_type": "name"
}
] |
35946217453 | from flask import Flask,render_template,request,redirect
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
from pytz import timezone
import pytz
app=Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI']='sqlite:///test.db'
db=SQLAlchemy(app)
ind=timezone('Asia/Kolkata')
class Todo(db.Model):
id... | Vivek2k20/TaskManagerWebApp | app.py | app.py | py | 1,735 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.meth... |
30696338128 | # -*- coding: utf-8 -*-
import datetime
import numpy as np
import pandas as pd
import yfinance as yf
import matplotlib.pyplot as plt
data = pd.read_csv("..\\resource\\toushou1.csv", header=None, names=['code'])
stocks = [str(s) + ".T" for s in data.code]
#stocks.append("^N225")
print("1")
tickers = yf.Tickers(" ".j... | macchimachi/python_sample | sample/main2.py | main2.py | py | 4,258 | python | ja | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "yfinance.Tickers",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
14919574380 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
# disable: accessing protected members, too many methods
# pylint: disable=W0212,R0904
from hamcrest import is_
from hamcrest import assert_that
import unittest
... | OpenNTI/nti.store | src/nti/store/payments/tests/test_utils.py | test_utils.py | py | 2,142 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "nti.store.tests.SharedConfiguringTestLayer",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "hamcrest.assert_that",
"line_number": 30,
"usage_type": "call"
},
{... |
40549369742 | import threading
from dataclasses import dataclass
from http import HTTPStatus
from ipaddress import IPv4Address
from multiprocessing import get_context
from multiprocessing.managers import SyncManager
from queue import Queue
from typing import List, Tuple, Type
from unittest.mock import MagicMock
import pytest
import... | guardicore/monkey | monkey/tests/unit_tests/infection_monkey/exploit/test_http_agent_binary_server.py | test_http_agent_binary_server.py | py | 9,710 | python | en | code | 6,367 | github-code | 21 | [
{
"api_name": "ipaddress.IPv4Address",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "infection_monkey.exploit.agent_binary_request.ReservationID",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "infection_monkey.exploit.http_agent_binary_request_handler.Agen... |
10420301819 | from django.contrib.staticfiles.testing import LiveServerTestCase
from django.urls import reverse
from selenium import webdriver
from news.models import Post, Topic
class TestNewsAppPages(LiveServerTestCase):
def setUp(self):
topic = Topic.objects.create(
name='topic name'
)
... | kermox/schronisko_krakow | functional_tests/test_news_app.py | test_news_app.py | py | 1,853 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.contrib.staticfiles.testing.LiveServerTestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "news.models.Topic.objects.create",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "news.models.Topic.objects",
"line_number": 11,
"usa... |
18380089741 | import glob
import json
import os
import mysql.connector
import subprocess as sbp
from jsonschema import validate
from jsonschema.exceptions import ValidationError
from mysql.connector import errorcode
import wazuh_testing.tools.migration_tool as migration_tool
from wazuh_testing.tools.file import read_json_file, trun... | wazuh/wazuh-qa | deps/wazuh_testing/wazuh_testing/tools/migration_tool/utils.py | utils.py | py | 4,971 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "wazuh_testing.tools.logging.Logging",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "wazuh... |
16894921994 | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 15 19:45:00 2020
learn python
@author: wangrui
"""
'''
import requests # 导入网页请求库
from bs4 import BeautifulSoup # 导入网页解析库
import pprint # 使打印出来的列表更方便看
import json # 用于将列表字典（json格式）转化为相同形式字符串，以便存入文件
# 豆瓣加了反爬 需要加下面这两行
headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; W... | wasdfghjklr/learnpython | python_douban250.py | python_douban250.py | py | 5,359 | python | zh | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 133,
"usage_type": "call"
}
] |
5690453292 | import time
from GetSoup import find_prices, get_url_string, enter_buyback_price
import openpyxl
from tkinter import *
from tkinter import ttk
from tkinter.filedialog import askopenfilename
from tkinter.messagebox import showerror
# from PIL import Image, ImageTk
import os
#import six
import queue as Queue
i... | arnoldjgtorres/GamePricing_Selenium | ReadSheet.py | ReadSheet.py | py | 5,877 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "GetSoup.find_prices",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "GetSoup.enter_buyback_price",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "openpyxl.lo... |
13509785642 | from robot.model import SuiteVisitor
class ModelModifier(SuiteVisitor):
def __init__(self, *tags, **extra):
if extra:
tags += tuple('%s-%s' % item for item in extra.items())
self.config = tags or ('visited',)
def start_suite(self, suite):
config = self.config
if c... | robotframework/robotframework | atest/robot/cli/model_modifiers/ModelModifier.py | ModelModifier.py | py | 2,237 | python | en | code | 8,521 | github-code | 21 | [
{
"api_name": "robot.model.SuiteVisitor",
"line_number": 4,
"usage_type": "name"
}
] |
30748166531 | import pygame
from pygame import mixer
import random
pygame.init()
health=health1=400
healthh=health2=130
healthbar=5
xscreen,yscreen=1920,1080
linkblnv="katana1.png"
linkblnv1='bullet.png'
linkbg='bg1.jpg'
linknv2='mt1.png'
linknv3="mt2.png"
linknv4="mt3.png"
linknv5="mt4.png"
linknv1='right.png'
linkbl='suriken.png'
... | hoanglong21/Tomja | main.py | main.py | py | 7,109 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
34843971202 | from selenium import webdriver
import random
import time
import os
base_url = 'http://sports.news.naver.com/wfootball/vod/index.nhn?category=primera&listType=game'
move_game_script = "document.getElementsByClassName('arr prev')[0].click();"
def change_game(index):
return "document.getElementsByClassName('bx')["... | hknam/livechat | crawler/naver_sports_list.py | naver_sports_list.py | py | 984 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.expanduser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.pa... |
24702899942 | #!/usr/bin/env python
import argparse
import shutil
import subprocess
import os
parser = argparse.ArgumentParser()
parser.add_argument('tumorbam',help='full path to the Tumor BAM file')
parser.add_argument('normalbam',help='full path to the Normal BAM file')
parser.add_argument('twobitfile',help='full path to 2bit fil... | seandavi/SDST | scripts/runCrestParallel.py | runCrestParallel.py | py | 3,217 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename... |
74547581812 | #!/usr/bin/python3
import socket, os, re, errno, sys, uuid, logging
import traceback
class Client(object):
def __init__(self, address, port):
self.address = address
self.port = port
def connect(self, empty):
self.s = socket.socket()
self.s.connect((self.address, self.port))
... | SibirCTF/2023-service-sibirctf-chef | checker/checker.py | checker.py | py | 8,874 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "socket.socket",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 139,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 154,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number":... |
39195576047 | import smtplib
from email.message import EmailMessage
from string import Template
from pathlib import Path
html = Template(Path('index.html').read_text())
email = EmailMessage()
email['from'] = 'Taimoor Aftab'
email['to'] = 'taimooraftab@ymail.com'
email['subject'] = 'You won 1,000,000 dollars'
email.set_content(ht... | taimooraftab/email_sender | send_email.py | send_email.py | py | 564 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "string.Template",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "email.message",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "email.message.EmailMessage",
... |
11898895195 | from django.conf.urls import url
from tastypie.authorization import Authorization
from tastypie.resources import ModelResource
from netAngels.models import Link
class CodeLinkResource(ModelResource):
class Meta:
authorization = Authorization()
queryset = Link.objects.all()
resource_name =... | ShmakovVA/test_netAngels | netAngels/v1_api/api.py | api.py | py | 1,733 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tastypie.resources.ModelResource",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tastypie.authorization.Authorization",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "netAngels.models.Link.objects.all",
"line_number": 11,
"usage_type":... |
10922836852 | # improved stochastic optimal; transport plan with interpolation
import numpy as np
import ot as pot
from metric import of_uni_cate, similarity_to_dissimilarity
from multiprocessing import Pool
def multicore_helper(args):
func, target, repeat, interpolation = args
return func.transform(target, repeat, interp... | marrvolo/SCDA | src/coordinate_ot_adaptation.py | coordinate_ot_adaptation.py | py | 5,856 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "multiprocessing.Pool",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "metric.of_uni_cate",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "metric.similarity... |
41784332515 | """Code to only run extraction of statistical fidelity results for the main experiment.
"""
from pathlib import Path
from typing import Dict, Iterable, List, Literal
import numpy as np
import pandas as pd
from application.constants import (
DATA_CENTRIC_THRESHOLDS,
DATA_DIR,
RESULTS_DIR,
SYNTHETIC_MOD... | HLasse/data-centric-synthetic-data | src/application/stat_dist/run_stat_metrics.py | run_stat_metrics.py | py | 8,158 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "typing.Literal",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "data_centric_... |
26746648961 | import numpy as np
import torch
import hacman.utils.robosuite_transform_utils as transform_utils
import scipy.spatial.transform as spt
from transforms3d import quaternions, euler
# from torchgeometry.core.conversions import rotation_matrix_to_quaternion
from pytorch3d.transforms import matrix_to_quaternion
def decompo... | HACMan-2023/HACMan | hacman/utils/transformations.py | transformations.py | py | 4,419 | python | en | code | 28 | github-code | 21 | [
{
"api_name": "torch.Tensor",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pytorch3d.transforms.matrix_to_quaternion",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "... |
70880115254 | import os
from pathlib import Path
import streamlit as st
from popt_performance.data import get_data
import pandas as pd
import plotly.graph_objects as go
# Page config
st.set_page_config(page_title="Stocks prices dashboard", layout="wide")
DATA_DIR = Path('.') / 'data'
DATA_DIR.mkdir(parents=True, exist_ok=True)
d... | jorivero83/popt_performance | popt_performance/ui.py | ui.py | py | 2,915 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "plotly.gr... |
10028242386 | import argparse
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from dataset import MyDataset
from model import MyModel
parser = argparse.ArgumentParser()
parser.add_argument("--n_samples", help="amount of samples to train with", ... | upcschool-ai/aidl-2022-winter-hands-on | session-1/main.py | main.py | py | 1,706 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch... |
70998882292 | from flask import Flask, render_template, request, session, redirect, url_for, flash
from datetime import datetime, timedelta
import mysql.connector
import re
import db_utils
# App initialization:
# ======================================================================================
app = Flask(__name__)
app.secret... | GavinJin0501/Air-Ticket-Reservation-System | airline/app.py | app.py | py | 37,750 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_n... |
30187836751 | from sqlalchemy import create_engine, Column, String, Integer, Boolean, Float
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
import re
# mgsm_terminals
# mgsm_terminals_stage
engine = create_engine('postgresql+psycopg2://kamilc:rexmil@localhost:5432/terminals... | kamilciomcia/phoneScrapper | Telepolis.py | Telepolis.py | py | 25,464 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 12,
"usage_type": "call... |
11816029925 | import torch
import torch.autograd as ag
import torch.nn as nn
import torch.nn.functional as F
import pdb
import math
import functools
import random
import numpy as np
def random_uniform(shape, low, high, cuda):
x = torch.rand(*shape)
result_cpu = (high - low) * x + low
if cuda:
return result_cpu.... | Vibashan/online-da | detectron2/modeling/meta_arch/memory_bank.py | memory_bank.py | py | 5,011 | python | en | code | 24 | github-code | 21 | [
{
"api_name": "torch.rand",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number":... |
29546021585 | from .modules import LV_FiberEstimator, LVClinicalMetricsComputations, LV3DMetricsPlotter
import numpy as np
# from project_heart.enums import CONTAINER, STATES, LV_SURFS
from project_heart.utils.enum_utils import check_enum
from project_heart.utils.assertions import assert_iterable
import logging
logging.basicConfig(... | Nobregaigor/Project-Heart | project_heart/lv/left_ventricle.py | left_ventricle.py | py | 35,255 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "modules.LV_FiberEstimator",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "modules... |
25163358005 | import torch.nn as nn
import torch
def conv_block(in_channels, out_channels):
bn = nn.BatchNorm2d(out_channels)
nn.init.uniform_(bn.weight) # for pytorch 1.2 or later
return nn.Sequential(
nn.Conv2d(in_channels, out_channels, 3, padding=1),
bn,
nn.ReLU(),
nn.MaxPoo... | ChengLiangYeh/dlcv_hw4_project | code/Conv_G.py | Conv_G.py | py | 1,426 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.BatchNorm2d",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.init.uniform_",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.nn.init",
... |
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