content stringlengths 5 1.05M |
|---|
from os.path import exists
#reading from file
def file_read(filename):
try:
f = open(filename, 'r')
text = f.read().split("\n")
if text[-1]=="":
del text[-1]
f.close()
return text
except:
print("error in reading file")
#writing in f... |
def sum(a,b):
return a+b
a=int(input())
b=int(input())
print(sum(a,b))
|
import numpy as np
x = np.arange(10)
print(x)
print(np.roll(x, 2))
print(np.roll(x, -2))
x2 = np.reshape(x, (2,5))
print(x2)
#print(np.roll(x2, 1))
print("---")
print(np.roll(x2, 1, axis=0))
print(np.roll(x2, -1, axis=0))
print("---")
print(np.roll(x2, 1, axis=1))
print(np.roll(x2, -1, axis=1))
print("--------------... |
N=int(input())
M=[[0]*N for _ in range(N)]
for i in range(N): M[i]=list(input())
D=int(input())
if D==1:
for i in M: print(''.join(i))
if D==2:
for i in M: print(''.join(reversed(i)))
if D==3:
for i in reversed(M): print(''.join(i)) |
import requests
import json
import time
import logging
import logging.handlers
LOG_FILE = 'test.log'
handler = logging.handlers.RotatingFileHandler(LOG_FILE, maxBytes = 1024*1024, backupCount = 5)
handler.setFormatter(logging.Formatter('%(asctime)s - %(message)s'))
logger = logging.getLogger(__name__).addHandler(han... |
from __future__ import division
from __future__ import print_function
import os
import sys
# dirty hack: include top level folder to path
sys.path.insert(0,
os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)), '..'))
)
import itertools
from argparse import ArgumentParser
import datetime
import... |
import config
import datetime
import os
import uuid
import time
from .parse_csv import ParseCSV
from .parse_xls import ParseXLS
from src.models import ParallelSentenceModel
from src.utilities.app_context import LOG_WITHOUT_CONTEXT
from anuvaad_auditor.loghandler import log_info, log_exception
class ParallelSentenceRep... |
from pynache.utils import to_numpy, to_tensor
from skimage.color import rgb2yiq, yiq2rgb
import torch
def _add_color(content: torch.Tensor, generated: torch.Tensor) -> torch.Tensor:
assert content.ndim == 4, "Expected input of shape (1, C, H, W)"
assert generated.ndim == 4, "Expected input of shape (1, C, H, ... |
import os
import shutil
import getpass
code = r"""
import subprocess
import webbrowser
import sys, os
import pyautogui
import tkinter as tk
import getpass
import psutil
from time import *
is_going = True
def OpenGitHub(*args):
webbrowser.open('https://github.com/thescribe11')
def TaskManager(... |
from django.utils.deprecation import MiddlewareMixin
from django.utils import timezone
# import models
from _common.models import UserPreferences, UserRecent
class UserRecentsMiddleware(MiddlewareMixin):
""" add url to user recents on page request """
def process_request(self, request):
""" """
... |
import torch
import torch.nn as nn
import torch.nn.functional as F
# linear layers
from layers.linear import BayesLinear, BayesConv2d
# activation and output layers
from layers.activation import BayesSign, BayesSoftmax, BayesGaussian
# pooling layers
from layers.pooling import BayesAvgPool2d, BayesMaxPool2d
from lay... |
""""
Dedicated Class to compare the Control Sample VS. HDBSCAN selected clusters
Héctor Cánovas May 2019 - now
"""
import getpass
import numpy as np
import matplotlib.pyplot as plt
from itertools import cycle
from astropy import units as u
from astropy.table import Table
from lib_plotters import Li... |
import os
import re
import sys
from collections import defaultdict
from pathlib import Path
from typing import Dict, Iterable, List, NamedTuple, Optional, IO
# HERE YOU CAN PUT A LIST OF STRINGS WITH SAMPLE THAT DID NOT PASS YOUR QC FOR OTHER REASONS
QC_FAILED_SAMPLES = []
DEFAULT_FDR_THRESHOLD = 0.05
DEFAULT_QC_FAIL... |
import argparse
import os
from tester import run_registered_test_cases
import test_communication_base
import test_common_process
#import test_contract # This tests using call_view
#import test_auction_contract # This tests using call_view
#import test_bad_network # Working only in develop network (connect to custom ... |
#
# Copyright 2015 Zola Mahlaza <adeebnqo@gmail.com>
# 19 January 2015
#
# This is a script for converting from json to the plist format
#
import json
import plistlib
import sys
import re
#The above methods and variables were written by Martijn Pieters(http://stackoverflow.com/a/15198886/1984350)
inputf = sys.argv... |
import sys
import os
from flask import Flask
from flask_socketio import SocketIO
from flask_login import LoginManager
# Handle import junk
top_level_dir = os.path.abspath('../')
# include trivia generator modules
sys.path.append(top_level_dir)
app = Flask(__name__)
socketio = SocketIO(app)
games = dict()
app.config... |
import math
from typing import Optional, Tuple
from overrides import overrides
import torch
import torch.nn.functional as F
from transformers import XLNetConfig
from transformers.modeling_auto import AutoModel
from allennlp.data.tokenizers import PretrainedTransformerTokenizer
from allennlp.modules.token_embedders.t... |
import numpy as np
import sys
from util import ImageProcessing
import torch
import torchvision.transforms.functional as TF
import util
import model
np.set_printoptions(threshold=sys.maxsize)
checkpoint_filepath = "./pretrained_models/adobe_dpe/curl_validpsnr_23.073045286204017_validloss_0.0701291635632515_testpsn... |
from django.urls import path
from . import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
path('', views.welcome, name='index'),
path('search/', views.search_results, name='search_results'),
path('upload/', views.upload , name='upload'),
path('single_i... |
"""The Nature Remo integration."""
import logging
import voluptuous as vol
from datetime import timedelta
from homeassistant.helpers import config_validation as cv, discovery
from homeassistant.helpers.aiohttp_client import async_get_clientsession
from homeassistant.helpers.update_coordinator import DataUpdateCoordina... |
import requests
cert = '/path/to/the/cert'
response = requests.get('https://example.com', cert=cert, verify='/path/to/ca-bundle.crt')
|
import sublime, sublime_plugin
import os, tempfile, subprocess
import re
def is_windows():
return sublime.platform() == "windows"
def is_executable_file(file_path):
return os.path.isfile(file_path) and os.access(file_path, os.X_OK)
def is_readable_file(file_path):
return os.path.isfile(file_path) and ... |
from .bot import BotRequests
from .channels import ChannelRequests
from .emojis import EmojiRequests
from .guild import GuildRequests
from .interactions import InteractionRequests
from .members import MemberRequests
from .messages import MessageRequests
from .reactions import ReactionRequests
from .scheduled_events imp... |
import numpy as np
import re, os
from pmesh.pm import ParticleMesh
from nbodykit.lab import BigFileCatalog, BigFileMesh, MultipleSpeciesCatalog, FFTPower
from nbodykit import setup_logging
from mpi4py import MPI
import HImodels
# enable logging, we have some clue what's going on.
setup_logging('info')
#... |
import requests
import time
from datetime import datetime
from contextlib import contextmanager
from selenium import webdriver
from selenium.webdriver.remote.webdriver import WebDriver
from webdriver_manager.firefox import GeckoDriverManager
from typing import Sequence
from .portals import login
from .print_util import... |
from numpy import MatmulChain
from numpy.random import random
from numpy.testing import assert_array_almost_equal, assert_equal
def test_matmul_chain():
A = random([30, 35])
B = random([35, 15])
C = random([15, 5])
D = random([5, 10])
E = random([10, 20])
F = random([20, 25])
mc = MatmulCh... |
from requests import status_codes
import json
import codecs
class Response:
def __init__(self, client_connection):
self.client_connection = client_connection
self.status_text = 'OK'
self.status_code = 200
self.headers = {
'Content-Type': 'text/html; encoding=utf8',
... |
from abc import abstractmethod
from functools import lru_cache
from importlib import reload
from operator import itemgetter
from microsofttranslator import Translator
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import src.knowledge_base as kdb
imp... |
from __future__ import annotations
from typing import List
import numpy as np
from imgaug.augmentables.kps import Keypoint as ImgAug_Keypoint, KeypointsOnImage as ImgAug_Keypoints
from logger import logger
from .point import Point2D, Point3D, Point2D_List, Point3D_List
from ..check_utils import check_type, check_type_f... |
try:
from astroid.nodes import ClassDef, FunctionDef, ImportFrom, AssignName, Attribute
except ImportError:
from astroid.nodes import Class as ClassDef, \
Function as FunctionDef, \
From as ImportFrom, \
AssName as AssignName, \
Getattr as Attribute
try:
from astroid.bases ... |
import os
import json
import datetime
import pathlib
import time
import carla
from collections import deque
import torch
import carla
import numpy as np
from PIL import Image
from leaderboard.autoagents import autonomous_agent
from team_code.planner import RoutePlanner
from aim_va.model import MultiTaskImageNetwork
f... |
from flask import request
from garnish import Route
class SimpleRoute(Route):
def __call__(self, *args, **kwargs):
return self.dispatch(request)(*args, **kwargs)
|
"""
https://docs.opencv.org/master/d8/d19/tutorial_stitcher.html
Stitching sample (advanced)
===========================
Show how to use Stitcher API from python.
"""
# Python 2/3 compatibility
from __future__ import print_function
import argparse
from collections import OrderedDict
from imutils import paths
import... |
from itertools import chain
from django.forms import widgets
from django.utils.encoding import force_text
class AdvancedSelectMultipleWidget(widgets.SelectMultiple):
def optgroups(self, name, value, attrs=None):
"""Return a list of optgroups for this widget."""
default = (None, [], 0)
gro... |
from flask import render_template, request, Blueprint, session
main = Blueprint('main', __name__)
@main.route('/')
@main.route('/home')
def home():
session['semester'] = None
session['year'] = None
session['hash'] = None
session['submitted_form'] = False
session['is_valid'] = False
return ren... |
import multiprocessing
import argparse
import dlib
ap = argparse.ArgumentParser()
ap.add_argument("-t", "--training", required=True,
help="path to input training XML file")
ap.add_argument("-m", "--model", required=True,
help="path serialized dlib shape predictor model")
args = vars(ap.parse_args())
print("[INFO] ... |
from django.conf.urls import include, url
from django.contrib import admin
from library.libraryapp.views import book_list
urlpatterns = [
url(r'^$', book_list),
url(r'^admin/', include(admin.site.urls)),
]
|
# -*- coding: utf-8 -*-
""" Utils for path and URL """
import urllib
def safe_url(url):
""" 转义包含非 ASCII 字符的 URL
"""
parsed = urllib.parse.urlparse(url)
safed = urllib.parse.ParseResult(
scheme=parsed.scheme,
netloc=parsed.netloc,
path=urllib.parse.quote(parsed.path),
pa... |
# Copyright 2021 Invana
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http:www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... |
"""
@file sumodump.py
@author Daniel Krajzewicz
@date 2013-10-19
@version $Id$
SUMO, Simulation of Urban MObility; see http://sumo.dlr.de/
Copyright (C) 2012-2017 DLR (http://www.dlr.de/) and contributors
This file is part of SUMO.
SUMO is free software; you can redistribute it and/or modify
it under the terms... |
from __future__ import division
from axelrod import Actions
class RoundRobin(object):
"""A class to define play a round robin game of players"""
def __init__(self, players, game, turns, deterministic_cache=None,
cache_mutable=True, noise=0):
"""Initialise the players, game and determi... |
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import api, fields, models, SUPERUSER_ID
from odoo.tools.translate import _
from odoo.exceptions import UserError
AVAILABLE_PRIORITIES = [
('0', 'Normal'),
('1', 'Good'),
('2', 'Very Good'),
('... |
from django.urls import path
from ..views import GraphQLView
urlpatterns = [
path("graphql/batch", GraphQLView.as_view(batch=True)),
path("graphql", GraphQLView.as_view(graphiql=True)),
]
|
from flask import Flask, send_file
from flask_sockets import Sockets
from TankControl import TankControl
app = Flask(__name__)
sockets = Sockets(app)
t = TankControl('/dev/ttyACM0')
print("Tank connected!")
@app.route('/')
def mainPage():
return send_file('index.html')
@app.route('/listener.js')
def startListen... |
from ..controller import ControlBoids
from boids.tests.generate_fixtures import generate_example_settings
import matplotlib
from mock import patch
def test_ControlBoids_init():
with patch('boids.controller.BuildBoids'), \
patch('boids.controller.ViewBoids'):
test_data = generate_example_settings(... |
import os
import sys
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
import lobby_classes as lc
|
"""
Date: 24.02.2022
Author: H. Ismoilov
Module: transliterator
Version: 0.0.1
What does it do: This module is used to transliterate cyrillic text to latin. Or vice versa.
"""
class Transliteration:
# latin and cyrillic letters
latins = ['A', 'B', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M',
... |
from JumpScale import j
#this is a test to see how actions can be nested and only the one with the error should be shown
def action_error():
print ("ACTIONERROR")
raise j.exceptions.RuntimeError("ERROR")
def action_1(nr,counter=None):
print ("ACTION%s"%nr)
def recover_action():
print ("RECOVER")
... |
from django.contrib import admin
from .models import Articles,Appointments
# Register your models here.
admin.site.register(Articles)
admin.site.register(Appointments) |
"""
Programmer : EOF
File : detector.py
E-mail : jasonleaster@163.com
Date : 2016.01.18
"""
from config import TRAINING_IMG_WIDTH
from config import TRAINING_IMG_HEIGHT
from config import HAAR_FEATURE_TYPE_I
from config import HAAR_FEATURE_TYPE_II
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Gestion des canaux #4
Si l'attribut chnl est une liste, les flux seront distribués sur le canaux
respectivement à la liste passée en paramètre.
"""
from pyo import *
s = Server().boot().start()
# Crée un serveur avec 8 canaux
s = Server().boot()
amps = [.05,.1,.15,... |
import os
import os.path
import subprocess
import pandas
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.gridlayout import GridLayout
from kivy.uix.label import Label
from kivy.uix.textinput import TextInput
from kivy.uix.button import Button
from kivy.uix.popup import Popup
from kivy.pr... |
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... |
class UuidHolder:
def __init__(self, most_sig_bits, least_sig_bits):
self.most_sig_bits = most_sig_bits
self.least_sig_bits = least_sig_bits
BOOLEAN = True
BYTE = 113
INT = 25
LONG = -50992225
UUID = UuidHolder(123456789, 987654321)
BYTEARRAY = bytearray([BYTE])
LONGARRAY = [LONG]
STRING = "... |
class arithmetic(object):
def iterator(self):
pass
def show(self):
pass
|
import math
import numpy as np
from CPC18PF.CPC18_getDist import CPC18_getDist
from CPC18PF.CPC15_isStochasticDom import CPC15_isStochasticDom
from CPC18PF.get_pBetter import get_pBetter
from CPC18PF.CPC15_BEASTpred import CPC15_BEASTpred
import pandas as pd
def get_PF_Features(Ha, pHa, La, LotShapeA, LotNum... |
from .compute_results import save_results
from .job_results_to_csv import job_results_to_csv
from .plot_utils import ENVCLASSES, REWARDCLASSES, KEYNAMES
|
from enum import Enum, EnumMeta
class MetaEnum(EnumMeta):
"""Meta enumeration."""
def __contains__(cls, item):
"""Check that item is contained in the Enumeration."""
try:
cls(item)
except ValueError:
return False
return True
class EdgeType(Enum, metac... |
from .vtk import to_mesh_state, to_volume_state, presets, preset_as_options
|
def combine_words(word, **kwargs):
if 'prefix' in kwargs:
return kwargs['prefix'] + word
elif 'suffix' in kwargs:
return word + kwargs['suffix']
return word
print(combine_words('child', prefix='man'))
print(combine_words('child', suffix='ish'))
print(combine_words('child')) |
from flask import Flask
from scrape import run as scrape_runner
from logger import trigger_log_save
import datetime
app = Flask(__name__)
@app.route('/', methods=['GET'])
def hello_world():
return 'Hello, world. This is Flask'
@app.route('/abc', methods=['GET'])
def abc():
return 'Hello, world. This is Flask... |
"""
Custom DomainUniformConcatDataset
"""
import numpy as np
from torch.utils.data import Dataset
import torch
from config import cfg
np.random.seed(cfg.RANDOM_SEED)
class DomainUniformConcatDataset(Dataset):
"""
DomainUniformConcatDataset
Sample images uniformly across the domains
If bs_mul is n,... |
class CoresegStatus(basestring):
"""
The status fo the core segmentation job
Possible values:
<ul>
<li> "queued" - Queued,
<li> "running" - Running,
<li> "stopping" - Stopping,
<li> "finished" - Completed
</ul>
"""
@staticmethod
def get_api_name():
retur... |
import pytest
from board import Board
from utils import Disk
@pytest.fixture
def board_default():
return Board(8)
|
import math
class Turn:
def __init__(self, scale, theta, initial_position, initial_angle):
self.scale = scale
self.theta = theta
self.position = initial_position
self.phi = initial_angle
self.center = self.compute_center()
def sin_d(self, degrees):
return math.sin(math.radians... |
# Put all your custom templates in this directory!
|
from .bot import TerraBot |
import pytest
import appsecrets
import appsecrets.exc
@pytest.fixture(autouse=True)
def setup(secretsdir):
secretsdir.join('_dummy_key_id').write('DUMMYKEY')
def test_empty_dir_store(tmpdir):
with pytest.raises(appsecrets.exc.Error) as exc:
appsecrets.Secrets(str(tmpdir))
assert 'Missing key fi... |
# CMD click for BaseCommand Details
# class BaseCommand is at /Users/noopy/.local/share/virtualenvs/django-airbnb-clone-AcLC9Tzu/lib/python3.8/site-packages/django/core/management/base.py
import random
from django.core.management.base import BaseCommand
from django.contrib.admin.utils import flatten
# Third Party app ... |
from __future__ import print_function
import time
import sys
system_print = print
def print(to_print):
system_print(to_print, flush=True)
for i in range(2):
# print("hi", flush=True)
print("hi")
time.sleep(1.5)
time.sleep(2)
|
# https://www.codewars.com/kata/56269eb78ad2e4ced1000013/train/python
# You might know some pretty large perfect squares. But what about
# the NEXT one?
# Complete the findNextSquare method that finds the next integral
# perfect square after the one passed as a parameter. Recall that
# an integral perfect square is... |
'''
Author: your name
Date: 2021-09-11 22:47:33
LastEditTime: 2021-09-12 11:44:59
LastEditors: Please set LastEditors
Description: In User Settings Edit
FilePath: /SmartAgricultureSolution-iGrow/liaoyang_analysis.py
'''
import matplotlib as mpl
import seaborn as sns
import argparse
import os
import pandas as pd
import ... |
import asyncio
from unittest.mock import patch
import pytest
import patterns.exception_handle as main
@pytest.mark.asyncio
async def test_func(capsys):
# Call 'func' with mocked 'asyncio.sleep'.
with pytest.raises(ZeroDivisionError):
await main.func(0)
out, err = capsys.readouterr()
# Ass... |
#import re
import json
from biothings.utils.common import dotdict, is_str, is_seq
from biothings.utils.es import get_es
from elasticsearch import NotFoundError, RequestError
ALLOWED_OPTIONS = ['_source', 'start', 'from_', 'size',
'sort', 'explain', 'version', 'facets', 'fetch_all']
class QueryError... |
import unittest
from unittest.mock import patch
from unittest.mock import MagicMock
from app.domain.entry import Entry
from app.application.services import handle_set_tags_for
class TestServices(unittest.TestCase):
@patch('app.application.services.extract_tags')
@patch('app.application.services.entries_repo'... |
from src.data.osm.street_loader import StreetLoader
def test_load_streets(zurich_bellevue):
bbox = zurich_bellevue
loader = StreetLoader()
streets = loader.load_data(bbox)
assert len(streets) > 0
|
from rest_framework.serializers import ModelSerializer
from rest_framework_gis.serializers import GeoFeatureModelSerializer
class BusinessSerializer(ModelSerializer):
def get_id_relationship_from_request(self, field_name_relationship):
if field_name_relationship not in self.initial_data:
... |
from contextlib import contextmanager
# @contextmanager
# def suppress(error):
# try:
# yield
# except error:
# pass
# @contextmanager
# def suppress(*errors):
# try:
# yield
# except errors:
# pass
class ErrorInfo:
exception = None
traceback = None
@context... |
default_app_config = 'blousebrothers.catalogue.config.CatalogueConfig'
|
# $Id: pil_interface.py,v 1.1 1996/05/09 23:38:27 fredrik Exp fl $
#
# The Python Imaging Library.
#
# File:
# pil_interface.py -- a PIL interface for Grail
#
# History:
# 96-04-18 fl Created
# 98-06-04 fld Made minimal changes to look better with current
# Grail implementation; removed timimg display.
#
"""
This is... |
from __future__ import absolute_import
from threading import Thread
try:
from Queue import Queue, Empty
except ImportError:
from queue import Queue, Empty # Python 3.x
class Multiplexer(object):
def __init__(self, generators):
self.generators = generators
self.queue = Queue()
def lo... |
#!/usr/bin/env python
from django.core.management import setup_environ
import settings
setup_environ(settings)
from django.db.models.loading import cache as model_cache
model_cache._populate()
from issue.models import Issue
from related_search import RelatedSearchClassifier
def train_issue_classifier(results_fi... |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# --------------------------------------------------------------------------
from . import _io
from ._graph_execution_manager_factory import GraphExe... |
import gc, time # noqa
import gym, gym_fast_envs # noqa
import torch, numpy # noqa
import utils
from agents import get_agent
def train_agent(cmdl):
global_time = time.perf_counter()
env = utils.env_factory(cmdl, "training")
eval_env = utils.env_factory(cmdl, "evaluation")
name = cmdl.agent_type
... |
# Copyright 2017 SAS Project Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... |
from typing import Optional
from datetime import datetime
from pydantic import validator
from ...basemodel import Base
from ..utils import num2diffstr
"""
{
"$schema": "https://github.com/TheSnowfield/BotArcAPI/wiki/Reference-of-v4-user-best",
"song_id": "grievouslady",
"difficulty": 2,
"score": 0,
... |
import yaml
class parse(object):
"""
This class reads yaml parameter file and allows dictionary like access to the members.
"""
def __init__(self, path):
with open(path, 'r') as file:
self.parameters = yaml.safe_load(file)
# Allow dictionary like access
def __g... |
from preprocessing import CorpusProcessor
from preprocessing import read_txt
from preprocessing import create_train_test_ds
import time
t1 = time.time()
num_lines = None
batch_size = 256
eng_sentences , marathi_sentences = read_txt('../mar.txt', num_lines)
eng_processor = CorpusProcessor( eng_sentence... |
types = """
type Profile {
id: Int!
name: String
facesCount: Int
thumbnail: Face
faces: [Face]
}
type ProfilePagination {
pages: Int
count: Int
profiles: [Profile]
}
type Photo {
id: Int!
width: Int!
height: Int!
array: String!
faces: [Face]
}
type PhotoPagination ... |
import glob
import os
import cv2 as cv
import numpy as np
from sklearn.model_selection import KFold
dataset_location = "/home/debayan/Desktop/Kvasir-SEG/datasets/dummy/"
datasets = os.listdir(dataset_location)
cross_vd = 5
kf = KFold(n_splits=cross_vd,random_state=123,shuffle=True)
np.random.seed(123)
train_val_spl... |
#!/usr/bin/env python
#
# collapsed reads .txt
#
import argparse
def make_and_print_table(datas):
"""
Generated a contamination table
columns are reference genomes, and rows are samples.
"""
sample_names = {}
header = ['sample_id']
with open(datas[0]) as data_file:
f... |
# Most of the functions here assumes that the url
# pass as an argument is a valid youtube url.
import re
def create_playlist_url(list_id):
return "http://www.youtube.com/playlist?list=" + list_id
def get_playlist_id(url):
regexobj = re.compile(r'(?<=[&?])list=(?P<list_id>[^&?]+)')
m = regexobj.search(u... |
# -*- coding: utf-8 -*-
# Copyright (c) 2012 theo crevon
#
# See the file LICENSE for copying permission.
import install
import config
import service
from fabric.api import env, task
env.hosts = ['localhost']
@task
def bootstrap():
"""Deploy, configure, and start Fridge on hosts"""
install.bootstrap()
... |
#!/usr/bin/env python
import pandas as pd
import numpy as np
import datetime
import pandas as pd
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import requests
api_key = 'PYR50CGFSRXWXQ6J'
response = requests.get("https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol=IBM... |
from django.contrib import admin
from .models import Default
# Register your models here.
admin.site.register(Default) |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import datetime
# --- UTILITY METHODS ---
def _convert_dates_to_strings(row):
""" Given a database row returned by psycopg2,
convert all dates to strings (usually used
to ensure JSON serialisability). """
for key in row:
if type(row[key]) =... |
"""OrderedSequence.py
Classes for sequences of items subject to insertions and deletions,
with fast comparisons of the positions of two items in a sequence.
D. Eppstein, November 2003.
"""
import sys
from Sequence import Sequence
class SimpleOrderedSequence(Sequence):
"""Maintain a sequence of items subject to ... |
from pyspark import SparkContext
from pyspark.sql import SparkSession
from pyspark.conf import SparkConf
from pyspark.ml import Pipeline
from pyspark.ml.feature import VectorAssembler
from pyspark.ml.classification import LinearSVC
from pyspark.ml.linalg import Vectors
conf = SparkConf()
sc = SparkContext(conf=conf)
... |
"""conversion/discover tools for file formats
most of these can be run as scripts
""" |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Part of the masterfile package: https://github.com/uwmadison-chm/masterfile
# Copyright (c) 2020 Board of Regents of the University of Wisconsin System
# Written by Nate Vack <njvack@wisc.edu> at the Center for Healthy Minds
# at the University of Wisconsin-Madison.
# Re... |
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