content stringlengths 5 1.05M |
|---|
import pytest
import pandas as pd
import numpy as np
from pyseas.maps import rasters
def test_uniform():
scale = 4
lon_bin_template = np.arange(-180 * scale, 180 * scale)
lat_bin_template = np.arange(-90 * scale, 90 * scale)
lon_bin, lat_bin = [x.flatten() for x in np.meshgrid(lon_bin_template, lat_b... |
"""
This package contains all views related to organizations
"""
from .organization_view import OrganizationView
from .organization_list_view import OrganizationListView
|
from datetime import date # Python code for task 3
s = date(2010, 8, 9) # CP1 launch date
t = date.today()
print(s.strftime("%a")) # 'Mon', %A for 'Monday'
print("{} day(s) ago".format((t-s).days)) # ans grows over time
|
"""Inter-region correlation processing module"""
from scipy.stats import linregress
from lib.storage import Storage
from lib.correlation import is_correlation
def process(storage: Storage):
"""Process time series in the storage"""
all_tfr = storage.tfr_dataset.all_series(storage.regions)
min_values_per_... |
import numpy as np
from vispy import app, gloo, visuals
from vispy.geometry import create_sphere
from vispy.visuals.transforms import (STTransform, AffineTransform,
ChainTransform)
class Canvas(app.Canvas):
def __init__(self):
app.Canvas.__init__(self, keys='interacti... |
import glob
import os
import json
# jq '. | map(select( .user.screen_name == "paseri_Hades")) | .[] | { text: .text, id: .id_str }' log/convert.json
if __name__ == '__main__':
convert = {}
for file_path in sorted(glob.glob('./log/2019*.json'), reverse=True):
with open(file_path) as f:
da... |
from random import choice
from microbit import display, Image, button_a, button_b, pin_logo
from speech import say
from time import sleep
SPEED = 95
chocolates = ['milk', 'white', 'dark', 'caramel', 'mint']
rooms = {}
room_number = 1
guesses = 2
for room in range(1, len(chocolates) + 1):
random_chocolate = choic... |
# -*- encoding: utf8 -*-
from kraken2headder import add_taxonomy, convert_accession
from ftplib import FTP
import gzip
import shutil
from retry import retry
"""
This process requires Biopython, retry.
Install them beforehand.
dogtun Inc. oec
"""
# fasta url to download
ftp_host = "ftp.ddbj.nig.ac.jp"
ftp_path = "/ddb... |
import random
a= random.randint(1,20)
print(a) |
class TypeClass(object):
def __init__(self, **kwargs):
for k in kwargs:
setattr(self, k, kwargs[k])
def __repr__(self):
dict_keys = self.__dict__.keys()
class_attr = []
for k in dict_keys:
v = getattr(self, k, None)
if type(v) == int:
... |
class GameEvent:
"""
Represents an event that occurred in a League of Legends game, as defined
by the League of Legends client API.
"""
def __init__(self, data):
self.id = data['EventID']
self.name = data['EventName']
self.time = data['EventTime']
|
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 11 11:41:46 2019
@author: autol
"""
import configparser
#%% config and default values
def write_config(cfgfile):
cfg = configparser.ConfigParser(allow_no_value=1,
inline_comment_prefixes=('#', ';'))
cfg['config'] = dict(
... |
import ROOT
import math
from functools import partial
import PlotUtils
from config import PlotConfig
from config.AnalysisConfig import AnalysisConfig
from config.DrawingConfig import Default_Plot_Type,Default_Scale,DefaultSlicer
from tools import Utilities,PlotTools
from tools.PlotLibrary import HistHolder
ROOT.TH1.Add... |
import numpy as np
import pandas as pd
from rnanorm.normalization import cpm
def test_cpm_normalization():
"""Test CPM formula implementation.
CPM expressions of a minimal example have been manually computed and
compared against implementation.
Expression data:
S1 S2
... |
import subprocess
def test_basic():
test_list = [
"examples/test_basic.S",
"examples/test_basic_0.S",
"examples/test_basic_2.S",
"examples/test_dual_split_regs.S",
"examples/test_immediate.S",
"examples/test_extended.S",
]
# testing all available examples
... |
#!/usr/bin/env python
#
# This software is distributed under BSD 3-clause license (see LICENSE file).
#
# Authors: Heiko Strathmann
#
from numpy import random
import math
from shogun import machine_evaluation
from shogun import splitting_strategy
from shogun import BinaryLabels
from shogun import GridSearchModelSelec... |
from .usersim_rule import *
from .usersim_model import *
from .RealUser import * |
# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Simulation/LossModelSteinmetz.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Simulation/LossModelSteinmetz
"""
from os import linesep
from sy... |
from SimpleCV import Kinect, Display
import time
# Initialize the Kinect
kin = Kinect()
# Initialize the display
disp = Display((640,480))
# This should be adjusted to set how many pixels
# represent an inch in the system's environment
pixelsToInches = 6
while not disp.isDone():
img = kin.getDepth()
blobs =... |
# coding: utf-8
# author: Ankur Roy Chowdhury
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver... |
import pandas as pd
# ======================================================================================================================
# Model of district cooling plant CLASS
# ======================================================================================================================
class CoolingPl... |
import io
from ir_model import IRModel
from embeddings_model import EmbeddingsModel
import pickle
import traceback
class Doc(object):
def __init__(self, text, doc_id=None, mentions_targets=None):
self.text = text
self.doc_id = doc_id
self.mentions_targets = mentions_targets #list of tuples ... |
import os
import platform
import argparse
PUMA = 'puma'
OBAMA = 'obama'
PATH_DATASET = '/home/peter/dataset'
if platform.node() == PUMA: #
PATH_DATASET = '/home/peter/dataset'
PATH_CONDA = '/home/peter/.conda/envs'
else:
PATH_DATASET = '/home/peter/extra/dataset'
PATH_CONDA = '/home/peter/anaconda3/... |
#!/usr/bin/env python3
# -*- coding: utf8 -*-
import unittest
import dsklayout.graph as graph
class Test__graph__PackageSymbols(unittest.TestCase):
def test__bfs__symbols(self):
self.assertIs(graph.Bfs, graph.bfs_.Bfs)
def test__dfs__symbols(self):
self.assertIs(graph.Dfs, graph.dfs_.Dfs)
... |
# ======================================================================
# Science for Hungry People
# Advent of Code 2015 Day 15 -- Eric Wastl -- https://adventofcode.com
#
# Python implementation by Dr. Dean Earl Wright III
# ======================================================================
# ================... |
#!/usr/bin/env python
# coding=utf-8
# Copyright Matus Chochlik.
# Distributed under the Boost Software License, Version 1.0.
# See accompanying file LICENSE_1_0.txt or copy at
# http://www.boost.org/LICENSE_1_0.txt
import os, sys, glob, subprocess
def root_dir():
return os.path.abspath(os.path.join(
os.path.dirn... |
import os
from django.core.files.uploadhandler import TemporaryFileUploadHandler, StopUpload, StopFutureHandlers
from rdkit.Chem import MolFromMolBlock, ForwardSDMolSupplier
from .customized_errors import MultipleMoleculesinSDF,InvalidMoleculeFileExtension, RequestBodyTooLarge, FileTooLarge, TooManyFiles
from django.co... |
# -*- coding:utf-8 -*-
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import answer
unit_url_tmp = [
"http://202.119.161.130/StudentSTS/unitnav.aspx?UnitTreeid=4612",
"http://202.119.161.130/StudentSTS/unitnav.aspx?UnitTreeid=4613",
"http://202.119.161.130/Stud... |
from tap_liveperson.streams.base import BaseStream
import singer
LOGGER = singer.get_logger() # noqa
class EngagementHistoryStream(BaseStream):
API_METHOD = 'POST'
SERVICE_NAME = 'engHistDomain'
TABLE = 'engagement_history'
@property
def api_path(self):
return (
'/interacti... |
import json
with open("config.json", "rt") as fp:
config = json.load(fp)
# configuration global variables
REGION_NAME = config["QueueRegion"]
QUEUE_URL = config["QueueURL"]
OUTPUT_FILEPATH = config["OutputFilePath"]
SNS_TOPIC_ARN = config["SNSTopicARN"]
SNS_TOPIC_REGION = config["SNSTopicRegion"] |
import menu
menu.menu()
menu.order()
option=int(input("enter the option"))
while option != 0:
if option == 1:
print("ordered Burger")
q=int(input("enter the quantity :"))
print(f"cost for {q} burger is {menu.burger(q)}")
elif option ==2:
print("Ordered Pizza")
q=int(input("enter the... |
import abc
from multiprocessing import Process, Queue
import numpy as np
class PlotBase:
def __init__(self):
self._q = Queue(maxsize=10)
self._plotting_process = Process(target=self._daemon,
args=(self._q,), daemon=True)
self._plotting_process.start()
@abc.abstractmethod
... |
#importing necessary packages
from PIL import Image
import numpy as np
# opens the image
image=Image.open('flower.jpeg')
#converting the image into array
image_array=np.array(image)
#Now convert the colouerd into grayscale by following method (B*0.2989+G*0.5870+R*0.1140)
#repalce the average value in r,g,b in p... |
from pathlib import Path
import pickle
import numpy as np
import keras
import os
import multiprocessing.pool
from functools import partial
import keras_preprocessing.image.utils as utils
from random import sample as randsomsample
import pandas as pd
import math
from sklearn.preprocessing import LabelEncoder, MinMaxScal... |
'''
permissions functions
Copyright (c) 2017 Vanessa Sochat
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, mer... |
import numpy as np
from kb_learning.planning import WayPointConf
def generate_circular_path(center: np.ndarray, radius=.8, angular_range=(-np.pi/2, .0), num_way_points=10):
angles = np.linspace(*angular_range, num_way_points)
arc_points = np.c_[np.cos(angles), np.sin(angles)] * radius + np.asarray(center)
... |
# Copyright © 2017 Valentin Rosca <rosca.valentin2012@gmail.com>
# Copyright © 2017 Cosmin Pascaru <cosmin.pascaru2@gmail.com>
# Copyright © 2017 Andrei Netedu <andrei.netedu2009@gmail.com>
# Copyright © 2017 Alexandru Miron <mironalex96@gmail.com>
from sqlalchemy import Column, Integer, String, LargeBinary
from sqlal... |
#!/usr/bin/env python
import time
import logging
import traceback
import schedule
from random import shuffle, randint
from time import sleep
from datetime import datetime
from typing import List, Dict
from sqlalchemy.exc import IntegrityError
from sqlalchemy import func
from scraper.scholarly import search_author, se... |
#!/usr/bin/env python3
""" This script is adapted from the Bertology pruning code (https://github.com/huggingface/transformers/blob/783d7d2629e97c5f0c5f9ef01b8c66410275c204/examples/research_projects/bertology/run_bertology.py)
to prune GPT-like models. The author is @altsoph.
"""
import argparse
import logging
import... |
class UID(object):
def __init__(self, body, head):
self.body = body
self.head = head
def get_body(self):
return self.body
def get_head(self):
return self.head
def __hash__(self):
return hash(self.body) + hash(self.head)
def __eq__(self, other):
re... |
"""populate_reconcile_queue"""
import logging
import os
from cbers2stac.layers.common.utils import get_client
# Get rid of "Found credentials in environment variables" messages
logging.getLogger("botocore.credentials").disabled = True
LOGGER = logging.getLogger()
LOGGER.setLevel(logging.INFO)
def populate_queue_wi... |
def main(argv=None):
print('main called with', argv)
if argv is None:
from sys import argv
argv= argv[1:]
print('main argv revision with', argv)
from .main import main as m
exit(m(argv))
main()
|
# #! /usr/bin/env python3
#
# import pytest
# import os
# import shutil
#
# import indy_client.test.cli.test_tutorial as testTutorialMod
# import indy_client.test.cli.conftest as cliConftestMod
#
# curDirPath = os.path.dirname(os.path.abspath(__file__))
# pathForPoolTxnFile = '/home/rkalaria/.indy/pool_transactions_san... |
import json
import httplib2
import sys
from testscripts.const import MSB_BASE_URL
data = {
"gracefulTerminationTimeout": 600,
"terminationType": "FORCEFUL"
}
headers = {'content-type': 'application/json', 'accept': 'application/json'}
ca_certs = None
auth_type = "rest_no_auth"
http = httplib2.Http(ca_certs=ca... |
#!/bin/python3.6
# -*- coding: utf-8 -*-
#
# MIT License
#
# Copyright (c) 2018 Robert Gustafsson
# Copyright (c) 2018 Andreas Lindhé
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without... |
#!/usr/bin/env python
#encoding=utf-8
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
class FC:
def __init__(self, in_num, out_num, lr=0.01):
self._in_num = in_num
self._out_num = out_num
self.w = np.random.randn(out_num, in_num)*10
self.b = np.zeros(out_num)
self... |
# Copyright 2018 The Magenta Authors.
#
# 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 in ... |
# -*- coding: utf-8 -*-
"""The NTFS directory implementation."""
from dfvfs.lib import errors
from dfvfs.path import ntfs_path_spec
from dfvfs.vfs import directory
class NTFSDirectory(directory.Directory):
"""File system directory that uses pyfsntfs."""
_FILE_REFERENCE_MFT_ENTRY_BITMASK = 0xffffffffffff
def ... |
class dotUIModelObjectSelector_t(object):
# no doc
aObjects=None
Functionality=None
nObjects=None
ShowDimensions=None
|
"""Transform a mypy AST to the IR form (Intermediate Representation).
For example, consider a function like this:
def f(x: int) -> int:
return x * 2 + 1
It would be translated to something that conceptually looks like this:
r0 = 2
r1 = 1
r2 = x * r0 :: int
r3 = r2 + r1 :: int
return r3
The... |
def create_expr_string(clip_level_value):
"""Create the expression arg string to run AFNI 3dcalc via Nipype.
:type clip_level_value: int
:param clip_level_value: The integer of the clipping threshold.
:rtype: str
:return The string intended for the Nipype AFNI 3dcalc "expr" arg inputs.
"""
... |
__author__ = 'rene_esteves'
def populate_ordered(input):
serie = add_serie('ordered-10000')
for p in range(input):
add_datum(p, serie)
def add_serie(name):
serie = Serie(serie_text=name)
serie.save()
print ("serie = " + str(serie));
return serie
def add_datum(value, serie):
datum ... |
__version__ = '1.0'
from .sherpa import main
main()
|
import logging
logger = logging.getLogger('BSUIDEBUG')
logger.setLevel(logging.DEBUG)
# create file handler which logs even debug messages
fh = logging.FileHandler('/home/xf16id/logs/bsui-debug-2018-08-08.txt')
fh.setLevel(logging.DEBUG)
# create console handler with a higher log level
ch = logging.StreamHandler()
ch.... |
import numpy as np
import sys
sys.path.append('.')
from AND_NAND_OR import AND, NAND, OR
def XOR(x1, x2):
return AND(OR(x1, x2), NAND(x1, x2))
if __name__ == "__main__":
print('XOR')
y = XOR(0, 0)
print(y)
y = XOR(1, 0)
print(y)
y = XOR(0, 1)
print(y)
y = OR(1, 1)
print(y)
... |
import socket
import threading
import time
# 服务端
def deal_client(sock,addr):
print('Accept new connection from {}'.format(addr))
# send() 的参数为二进制数据,字节数据
sock.send(b'Hello, I am a server.')
while True:
# recv()接收到的是字节数据
data=sock.recv(1024)
time.sleep(1)
if not data or d... |
"""Database comparison feature tests."""
import pandas as pd
from pytest_bdd import (
given,
scenarios,
then,
when,
parsers
)
from tests.pageobjects.db_comparison import DBComparison as db
scenarios('../features/db.feature')
@given(parsers.parse('connection is established between source and targ... |
from operator import itemgetter
NODE_USER_TAGS = ('datacenter', 'pod', 'rack')
NODE_TAGS = ('pod', 'rack')
def is_tagged(data):
return (any(data.get(tag) for tag in NODE_TAGS) or
all(data['userTags'].get(tag) for tag in NODE_TAGS))
def get_topology_edges(cvp):
res = cvp.get('$n/topology/edges'... |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
import math
import torch
from torch import nn as nn, Tensor, distributed as dist
from colossalai.context import seed, ParallelMode
from colossalai.core import global_context as gpc
from colossalai.nn.layer._common_utils import divide, ACT2FN
from colossalai.nn.layer.pa... |
import os
from hydroDL import kPath
from hydroDL.master import slurm
import numpy as np
# create mask for gageII basins
codePath = os.path.join(kPath.dirCode, 'app',
'data', 'GLASS', 'extractData.py')
cmdPtn = 'python {} -S {} -E {}'
ns = 7111
k1Lst = np.arange(0, ns, 100)
k2Lst = np.append(k1L... |
from constants import *
from scipy import integrate
import matplotlib.pyplot as plt
def s_infinite_spherical_well(temp_K, mass_au, c_au):
z = ((2.0 * np.pi * mass_au * Constants.kb_au * temp_K) / (Constants.h_au ** 2))**1.5 * ((4.0 * np.pi * c_au**3) / 3.0)
return 1.5 * Constants.kb_JKmol + Constants.kb_JKm... |
import os
import tensorflow as tf
import numpy as np
from imageio import imread
import matplotlib
from src.flowlib import read_flow, flow_to_image
matplotlib.use('TKAgg')
import matplotlib.pyplot as plt
_preprocessing_ops = tf.load_op_library(
tf.resource_loader.get_path_to_datafile("./src/ops/build/preprocessing.... |
import pytest
from bson import ObjectId
from mongoengine import Document, EmbeddedDocument, StringField, connect
from cleancat import Schema, StopValidation, String, ValidationError
from cleancat.mongo import (
MongoEmbedded,
MongoEmbeddedReference,
MongoReference,
)
@pytest.fixture
def mongodb():
co... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
############################## Regex Strings ###################################
# Note: the characters in standard_punct and standard_delimiters CANNOT overlap.
from conf.settings import CUSTOM_START_WORDS
from constants.database import ANSWER_VALUE, SKIP_VALUE, BAD_RESPONSE_... |
# -*- coding: utf-8 -*-
"""Wrapper around the SEMrush API."""
# :copyright: (c) 2015 Jeremy Storer and individual contributors,
# All rights reserved.
# :license: MIT License, see LICENSE for more details.
from collections import namedtuple
version_info_t = namedtuple(
'version_info_t', ('major... |
"""
WSGI config for the alternate origin server used for serving
sandboxed content
"""
import os
import kolibri.core.content
from kolibri.core.content.utils import paths
from kolibri.core.content.zip_wsgi import get_application
from kolibri.utils.kolibri_whitenoise import DynamicWhiteNoise
os.environ.setdefault(
... |
#!/usr/bin/python
"""
(C) Copyright 2020-2021 Intel Corporation.
SPDX-License-Identifier: BSD-2-Clause-Patent
"""
from logging import DEBUG, INFO, WARNING, ERROR
import sys
class TestLogger():
"""Defines a Logger that also logs messages to DaosLog."""
_LEVELS = {
"debug": DEBUG,
"info": ... |
import praw
import config
import time
import os
# Made by reddit user /u/Stronger1088
# Following this tutorial https://youtu.be/krTUf7BpTc0
# This is my first bot so I hope its good enough! I tried to rule out all of the bugs possible but there might still be some. Feel free to message me! Ty!
def authentication():... |
# -*- coding: utf-8 -*-
# Copyright (c) 2015, New Indictrans Technologies PVT LTD and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
from frappe.utils import today
from frappe import _
class SchemeManageme... |
import pytest
from gvalidate import validate_in_interval, validate_positive
@validate_positive("length")
def f_positive(length, width):
pass
@validate_positive()
def f_positive_check_all(length, width):
pass
@validate_positive("length")
@validate_positive("width")
def f_positive_nested(length, width):
... |
from django.contrib import messages
from django.shortcuts import (HttpResponse, HttpResponseRedirect, get_object_or_404, redirect, render)
from django.utils import timezone
from django.http import HttpResponse, HttpResponseRedirect
from django.urls import reverse, reverse_lazy
from django.contrib.auth import login, log... |
from ._components import BiExperimentComponent, BiExperimentViewerComponent, BiExperimentCreateComponent
from ._containers import BiExperimentContainer, BiExperimentCreateContainer
from ._models import BiExperimentModel, BiExperimentCreateModel
from ._states import BiExperimentStates, BiExperimentCreateStates
__all__... |
'''
Implements utils for running the compiler and parsing clang's compile_commands.json.
'''
import json
import os
import re
import shlex
import subprocess
import sys
from contextlib import contextmanager
from functools import lru_cache
from itertools import chain
from typing import AnyStr, Callable, Dict, Iterable, L... |
import paddle
import torch
import numpy as np
# torch_model_path = "cnndm/finetune_cnndm_checkpoints/checkpoint9.pt"
torch_model_path = "pretrained_checkpoints/prophetnet_en.pt"
# torch_model_path = "gigaword/finetune_gigaword_checkpoints/checkpoint7.pt"
torch_state_dict = torch.load(torch_model_path)["model"]
# padd... |
import gym
import gym_panda #need to be imported !!
import random
import numpy as np
import matplotlib.pyplot as plt
import time
import execnet
from pilco.models import PILCO
from pilco.controllers import RbfController, LinearController
from pilco.rewards import ExponentialReward
import tensorflow as tf
from gpflow ... |
"""fileformatjson.py unit tests."""
import os
import json
import shutil
from pypyr.context import Context
from pypyr.errors import KeyInContextHasNoValueError, KeyNotInContextError
import pypyr.steps.fileformatjson as fileformat
import pytest
def test_fileformatjson_no_in_obj_raises():
"""None in path raises."""
... |
print("""
011) Faça um programa que leia a largura e a altura de uma parede em metros,
calcule a sua área e a quantidade de tinta necessária para pintá-la, sabendo
que cada litro de tinta, pinta uma área de 2m²
""")
altura = float(input('Informe a altura da parede (Em metros): '))
largura = float(input('Informe a lar... |
import os
import numpy as np
import pandas as pd
import xarray as xr
import datetime
import time
import cftime
import warnings
import requests
import shutil
def set_bnds_as_coords(ds):
new_coords_vars = [var for var in ds.data_vars if 'bnds' in var or 'bounds' in var]
ds = ds.set_coords(new_coords_vars)
re... |
from .builder import CUDAOpBuilder
class QuantizerBuilder(CUDAOpBuilder):
BUILD_VAR = "DS_BUILD_QUANTIZER"
NAME = "quantizer"
def __init__(self, name=None):
name = self.NAME if name is None else name
super().__init__(name=name)
def absolute_name(self):
return f'deepspeed.ops.... |
#################################################
### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###
#################################################
import pickle, gzip, torch, math, numpy as np, torch.nn.functional as F
from pathlib import Path
from IPython.core.debugger import set_trace
fro... |
import json
from typing import Any, Dict, Iterable, List
from kfp_server_api.models.api_run_detail import ApiRunDetail as kfp_ApiRunDetail
import skit_pipelines.constants as const
def filter_artifact_nodes(nodes: Dict[str, Any]) -> List[Dict[str, Any]]:
return [
node for node in nodes.values() if node[c... |
import subprocess
from typing import List
import click
import requests
from pygments import console
from umm.cli.client import add_request, confirm_request, umm_request
from umm.server.__main__ import main
@click.command()
@click.option("--start", "-s", is_flag=True)
@click.option("--add", is_flag=True)
@click.argu... |
import os
import stat
def is_executable_file(path):
"""Checks that path is an executable regular file (or a symlink to a file).
This is roughly ``os.path isfile(path) and os.access(path, os.X_OK)``, but
on some platforms :func:`os.access` gives us the wrong answer, so this
checks permission bits dire... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pathlib
from pkg_resources import parse_requirements
from setuptools import find_packages, setup
# Repository root directory for use with reading files
directory = pathlib.Path(__file__).parent
# Load install_requires from requirements.txt.
# https://stackoverflow... |
import h5py
import numpy as np
from torch.utils.data import Dataset
class Train_Dataset(Dataset):
def __init__(self, h5_file):
super(Train_Dataset, self).__init__()
self.h5_file = h5_file
def __getitem__(self, idx):
with h5py.File(self.h5_file, 'r') as fun:
return np.expan... |
"""Tests for pt_BR time humanizing."""
from __future__ import annotations
import datetime as dt
import freezegun
import pytest
from pytest_mock import MockerFixture
import human_readable.times as times
ONE_DAY_DELTA = dt.timedelta(days=1)
# In seconds
ONE_MICROSECOND = 1 / 1000000
FOUR_MICROSECONDS = 4 / 1000000
... |
import openpyxl
import time
import datetime
from datetime import timedelta
import time
import smtplib
import re
from openpyxl.drawing.image import Image
from email.mime.base import MIMEBase
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email import encoders
from constants impo... |
from django.shortcuts import render, redirect
from django.conf import settings
from django.utils import timezone
from django.contrib.auth import authenticate, login, update_session_auth_hash
from django.contrib.auth.forms import PasswordChangeForm
from django.contrib.auth.decorators import login_required
from .forms i... |
from typing import List
from csd.batch import Batch
# from csd.codeword import CodeWord
from csd.codebooks import CodeBooks
from csd.codeword import CodeWord
import numpy as np
def _get_alphas() -> List[float]:
alpha_init = 0.1
alpha_end = 1.4
number_points_to_plot = 16
alpha_step = (alpha_end - alph... |
"""A script that does the manual conversion process of our docs automatically. Takes ~15 minutes.
TODO(brycew): Robin's doesn't quite work, it's too big as an RTF for some reason.
To Install:
1. Install python on Windows: https://www.python.org/downloads/windows/
(remember to put python on the PATH so you can call ... |
import requests
from urllib.parse import quote_plus
class YahooProxyException(Exception):
pass
class YahooProxy():
ENDPOINT = 'https://query.yahooapis.com/v1/public/yql?format=json&q={query}'
def __init__(self):
pass
def send_query(self, query):
target = self.ENDPOINT.format(query=quo... |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... |
from __future__ import absolute_import, unicode_literals
from django.conf.urls import include, url
from django.core import urlresolvers
from django.template.loader import render_to_string
from wagtail.wagtailadmin.menu import MenuItem
from wagtail.wagtailcore import hooks
from . import urls
from .models import Remind... |
class CannotAddPlaylist(Exception):
'''Exception stating that the requested playlist could not be added to the queue.'''
|
# Copyright 2017 Red Hat
#
# 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 in writing, sof... |
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
from opaque_keys.edx.django.models import CourseKeyField
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
... |
# Understand
# Plan
# Graphs Problem Solving
# Translate the problem
# Nodes: People
# Edges: When a child has a parent
# Build our graph, or just define get_neighbors
# Choose an Algorithm
# Either BFS or DFS
# If we use DFS, how would we know if DFS happened to be faster?
# import deque from collections
# clas... |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import runpy
import sys
# Sometimes executing scripts can print out stuff before the actual output is
# printed. For eg. when activating conda. Hence, printing out markers to make
# it more resilient to pull the output.
prin... |
import json
import bson
import click
from os import path
import requests
from requests.auth import HTTPBasicAuth
from app import app, db
def _get_aggreagation(name):
with open('distributions.json') as json_data:
return json.load(json_data)
@click.argument('password')
@click.argument('username')
@app.c... |
__version__ = 0.0 |
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