content stringlengths 5 1.05M |
|---|
# Looks at the sample def and determines which feature-counter calls can be disabled
__MRO__ = """
stage DISABLE_FEATURE_STAGES(
in map[] sample_def,
out bool disable_crispr,
out bool disable_antibody,
src py "stages/common/disable_feature_stages",
)
"""
def main(args, outs):
sample_def = ... |
"""
x = int(input())
y = int(input())
if x > 0:
if y > 0:
print(1)
else:
print(4)
else:
if y > 0:
print(2)
else:
print(3)
"""
x = int(input())
if x == 1:
print('One')
elif x == 2:
print('Two')
elif x == 3:
print('Three')
else:
print('Other')
|
from confvar import *
from webkit import *
from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
import PyQt5.QtWebEngineWidgets
from PyQt5.QtWebEngineWidgets import *
from PyQt5.QtPrintSupport import *
from PyQt5.QtWebEngineCore import *
import json
import os
import re
import time
exten... |
import imp
import os
# all base settings for Django
from .base import *
from .installed import *
ALLOWED_HOSTS = ['*']
HOME_PAGE_MSG = "Hello World, This is local"
print("Using local")
# Database
# DATABASES = {
# 'default': {
# 'ENGINE': 'django.db.backends.sqlite3',
# 'NAME': BASE_DIR / 'db.s... |
from datetime import datetime
def get_the_datetime() -> datetime:
return datetime.now()
|
from random import choice
import nmap
"""This class allow us to scan all ips address and hosts
from the current machine """
class Network:
def __init__(self, choice):
self.choice = choice
def networkscanner(self):
network = "127.0.1.1/24"
nm = nmap.PortScanner()
nm.scan... |
#!/bin/python3
import math
import os
import random
import re
import sys
if __name__ == '__main__':
n = int(input())
if n%2:
print('Weird')
elif n%2 ==0 and 2<=n<=5:
print('Not Weird')
elif n%2 ==0 and 6<=n<=20:
print('Weird')
elif n%2 ==0 and n>20:
print('Not Weir... |
import pandas as pd
import plotly.plotly as py
import plotly
df2 = pd.read_csv('input.csv', header=0)
df2['promo_dep15'].astype(float)
color = pd.Series(['rgb(100,100,100)', 'rgb(38,17,235)', 'rgb(17,93,235)', 'rgb(17,235,220)',
'rgb(49,235,17)', 'rgb(188,235,17)', 'rgb(235,202,17)', 'rgb(235,115,17... |
# Copyright 2017 Cisco Systems, Inc.
#
# 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... |
class Solution:
def isSubsequence(self, s: str, t: str) -> bool:
i=0
for j in range(0, len(t)):
if i < len(s) and s[i] == t[j]:
i += 1
if i == len(s):
return True
else:
return False
# Other way to do it
def isSubsequence2(s... |
from __future__ import division
import matplotlib
matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import argparse
import itertools
def get_breaks(model, N):
if model == "resnet20_v2":
breaks = {
432: [0, 353, 432],
2304: [0, 1847, 2229, ... |
#!/usr/bin/env python2.7
import pysam, argparse, sys
parser = argparse.ArgumentParser(description='Helps with genome curation using linked paired-end read information from subsetted regions of a genome.', formatter_class=argparse.ArgumentDefaultsHelpFormatter, add_help=False)
#Required arguments
required = parser.add... |
#!/usr/bin/env python
"""An example of a tagging service using RESTful Open Annotation."""
import logging
import re
import sys
from cgi import FieldStorage
from http.server import BaseHTTPRequestHandler, HTTPServer
from json import dumps
from logging import info, warn
import requests
TAGGER_URI = 'http://tagger.jen... |
import logging, os, platform, posixpath, subprocess, shlex, string, sys
from docutils import nodes
from docutils.parsers.rst import directives, states
from docutils.parsers.rst.roles import set_classes
from sphinx.util.compat import Directive
from sphinx.util.osutil import ensuredir
from .phix import (PhixError,
... |
from . import data
from . import manager
from . import analyzer
|
from math import floor
import wx
from PIL import Image
from ZMatrix import ZMatrix
from svgelements import *
"""
Laser Render provides GUI relevant methods of displaying the given project.
"""
DRAW_MODE_FILLS = 0x000001
DRAW_MODE_GUIDES = 0x000002
DRAW_MODE_GRID = 0x000004
DRAW_MODE_LASERPATH = 0x000... |
"""Defines a bidirectional LSTM-CNNs-CRF as described in https://arxiv.org/abs/1603.01354."""
import tensorflow as tf
import opennmt as onmt
def model():
return onmt.models.SequenceTagger(
inputter=onmt.inputters.MixedInputter([
onmt.inputters.WordEmbedder(
vocabulary_file_key="words_v... |
import pytest
from pathlib import Path
import shutil
from spikeinterface import set_global_tmp_folder
from spikeinterface.core.testing_tools import generate_recording
from spikeinterface.toolkit.preprocessing import clip, blank_staturation
import numpy as np
if hasattr(pytest, "global_test_folder"):
cache_fold... |
# -*- coding: utf-8 -*-
"""
Base components for wrappers.
"""
from abc import ABC
import functools
import inspect
from types import FunctionType
from types import MethodType
from types import ModuleType
import typing as tp
Wrappable = tp.TypeVar('Wrappable', ModuleType, type, object)
class WrapperInjector(ABC):
... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
#
# Author : cold
# E-mail : wh_linux@126.com
# Date : 14/01/16 12:00:06
# Desc : 读取URL信息(标题)插件
#
import re
from plugins import BasePlugin
from _linktitle import get_urls, fetchtitle
class URLReaderPlugin(BasePlugin):
URL_RE = re.compile(r"(htt... |
from webdnn.backend.webgpu.kernels.elementwise import register_elementwise_kernel
from webdnn.graph.operators.softsign import Softsign
register_elementwise_kernel(Softsign, "y = x0 / (fabs(x0) + 1.0f);")
|
from .constraint_rewriter import rewrite_constraints, rewrite_ast
from .. import SuccessorsNode, SuccessorNode, DecisionNotTakenNode, TextDecisionNode, TextFlatNode, \
InputByteSwitchTableNode, ReadEvalLoopNode, ReadEvalNode, ActionsNode, DecisionNode
from ..visitor import Visitor
def readable_encode_dnf(dnf, con... |
import operator
class Explanation:
def __init__(self, observation, shifts, ranges):
"""
Initializes an explanation with a dictionary from features to their shifts.
"""
self.shifts = shifts
self.ranges = ranges
self.observation = observation
self.EPSILON = 1e... |
import json
import os
import re
import shutil
import subprocess
import sys
import tempfile
from contextlib import contextmanager
from pathlib import Path
from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, cast
import setuptools
import tomlkit
from editables import EditableProject # type: ignore... |
import os
from collections import defaultdict
import h5py
import numpy as np
class ModelDataset(object):
def __init__(self, dataset_name, overwrite=False, mode='a', difficulty="challenge"):
self.dataset_name = dataset_name
self.dataset_path = self.append_file_type(self.dataset_name)
self.... |
import sys
import os
import re
from collections import defaultdict
TK_RE = re.compile(
r"""[\s,]*(~@|[\[\]{}()'`~^@]|"(?:[\\].|[^\\"])*"?|;.*|[^\s\[\]{}()'"`@,;]+)"""
)
INT_RE = re.compile(r"-?[0-9]+$")
FLOAT_RE = re.compile(r"-?[0-9][0-9.]*$")
class Symbol(str):
pass
class State:
def __init__(self):
... |
# coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# 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 ... |
from typing import Any
from example8_4birds import *
woody = Bird()
alert(woody)
alert_duck(woody)
alert_bird(woody)
def double(x: Any) -> Any:
return x * 2 |
import unittest
import nzmath.ring as ring
import nzmath.rational as rational
import nzmath.finitefield as finitefield
import nzmath.poly.termorder as termorder
import nzmath.poly.univar as univar
import nzmath.poly.ring as poly_ring
import nzmath.poly.uniutil as uniutil
class DivisionProviderTest (unittest.TestCase... |
filename = 'test.txt'
filehandle = open('test.txt')
row = 1
filelist = list()
for item in filehandle:
print(item)
if item.startswith('4'):
item = item.strip()
item = int(item)
if item == row:
filelist.append(item)
row = row + 1
else:
... |
import copy
import pathlib
import random
import string
import typing
import uuid
import ditef_producer_shared.genetic_individual
import ditef_router.api_client
class Individual(ditef_producer_shared.genetic_individual.AbstractIndividual):
def individual_type(self) -> str:
return 'string'
@staticmet... |
# Copyright 2017 Bernhard Walter
#
# 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 writin... |
# Imports
from flask_login import LoginManager # Auth
from flask_sqlalchemy import SQLAlchemy # Database
from flask import Flask # App
from flask_socketio import SocketIO # Socket IO for quick-chat feature
import eventlet # Eventlet for async
eventlet.monkey_patch() # Eventlet for async
# Initialize the app
app... |
import pytest
from evolution.population import Population
from fixtures import get_example_model, TicTacToeMaker, SmallTicTacToeMaker
from numpy.random import seed
from test_game import first_open_square_player, always_middle_square_player
def test_weights_change_in_evolution():
seed(0)
model = get_example_m... |
import logging
import json
import urllib
from google.appengine.api import urlfetch, urlfetch_errors
class PartOfSpeechTagger(object):
def __init__(self, url, field_name):
self.url = url
self.field_name = field_name
def tag(self, source):
try:
response = urlfetch.fetch(
... |
from sqlalchemy.exc import DBAPIError
from sqlalchemy.orm.exc import FlushError
from pyramid.response import Response
from pyramid.view import view_config
from pyramid.response import Response
from pyramid.httpexceptions import HTTPFound, HTTPNotFound, HTTPBadRequest, HTTPClientError
from pyramid.security import NO_PER... |
class BaseError(Exception):
"""Base class for exceptions from this package."""
class MockServerError(BaseError):
pass
class HandlerNotFoundError(MockServerError):
pass
|
#!/usr/bin/python
from opencv.cv import *
from opencv.highgui import *
from random import randint
MAX_CLUSTERS = 5
if __name__ == "__main__":
color_tab = [
CV_RGB(255,0,0),
CV_RGB(0,255,0),
CV_RGB(100,100,255),
CV_RGB(255,0,255),
CV_RGB(255,255,0)]
img = cvCreateImage( ... |
# script to convert files into a dataset
import os
import argparse
import glob
import json
inputDir = r"/Users/prakrutigogia/Documents/Microsoft/AlwaysBeLearning/MSHack/Round7"
dataset = "podcast_round7"
location = "orcasound_lab"
all_jsons = glob.glob(inputDir + "/*.json")
all_wavs = glob.glob(inputDir + "/round7/... |
import unittest
from gentsp import TSPSolver
class TestDamages(unittest.TestCase):
def test_creation(self):
distances = [
[1, 3],
[3, 5]
]
TSPSolver(distances)
def test_creation_with_parameters(self):
distances = [
[1, 3],
... |
import argparse
import os
import utils.spectronaut as post_sn
from utils.ms_prediction import *
from utils.spectronaut import SpectronautLibrary as SNLib
if __name__ == '__main__':
parser = argparse.ArgumentParser(formatter_class=argparse.RawTextHelpFormatter, description='''''')
# library
parser.add_arg... |
from flask import Flask, render_template, request, jsonify
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
app.config["DEBUG"] = True
@app.route('/', methods=['GET'])
def index():
return "evolved5G echo web-server started"
@app.route('/monitoring/callback', methods=['POST'])
def location_reporter():
... |
import asyncio
import json
from concurrent.futures import ProcessPoolExecutor
def sort_in_process(data):
nums = json.loads(data.decode())
curr = 1
while curr < len(nums):
if nums[curr] >= nums[curr - 1]:
curr += 1
else:
nums[curr], nums[curr - 1] = nums[curr - 1], n... |
import sublime
import sublime_plugin
import re
SETTINGS_FILE = "JSTemplatify.sublime-settings"
def js_templatify(string):
string_quote = ''
expressions_count = 0
strings_count = 0
within_expression = False
string_template = '`'
for c, char in enumerate(string):
if string_quote == '' ... |
"""Combine bounding boxes and labels obtained from imagej plugin and
then overlay the bounding boxes and labels of cells on raw stack"""
import argparse
import cv2 as cv
import numpy as np
import pandas as pd
import os
import imagej.plot_rois as plot_rois
import imagej.combine_label_annotations as combine_label_annota... |
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 12 16:48:00 2017
@author: gianni
"""
from scipy import constants
import numpy as np
from pythonradex import LAMDA_file,atomic_transition
class Molecule():
"Represents an atom or molecule"
def __init__(self,levels,rad_transitions,coll_transitions,partition_func... |
from core import bot
def cmd_start():
@bot.message_handler(commands=['start'])
def function_start(message):
bot.send_message(message.chat.id,
f"<b>Welcome {message.from_user.first_name}</b> ༼ つ ◕_◕ ༽つ\n" +
f"I'm <i>{bot.get_me().first_name}</i>... |
from typing import Optional
class CommandFailed(Exception):
def __init__(self, cmd, stdout: Optional[bytes], stderr: Optional[bytes]):
self.cmd = cmd
self.stdout = stdout
self.stderr = stderr
|
import requests
import json
response = requests.get("http://api.open-notify.org/astros.json")
print(response.status_code)
data = response.json()
print(data)
print(json.dumps(data, sort_keys=True, indent=4))
|
from HyperLogLog import HyperLogLog
def wc_naive(dataset):
st = set([])
with open(dataset, "r") as f:
for line in f:
for w in line.strip().split():
st.add(w)
return len(st)
def hloglog(dataset):
hobj = HyperLogLog(b = 64, p = 14, plot = True)
with open(dataset, "r") as f:
for line in f:
for w in li... |
from random import randint
print('-=-' * 11)
print('Bem-vindo ao jogo da adivinhação')
print('-=-' * 11)
print('Em que número eu pensei?!')
n = int(input('Escolha um número entre 0 e 10: '))
numero_secreto = randint(0, 5)
if n == numero_secreto:
print('Parabéns você acertou')
else:
print('Que pena você errou :... |
"""Show some sweeps around the last 2 comments."""
import os
import sys
if not os.path.abspath('../../../') in sys.path:
sys.path.append('../../../')
import swhlab
import matplotlib.pyplot as plt
import numpy as np
import warnings
import time
import webbrowser
OUTPUT_PATH=R"X:\Data Analysis\SCOTT\SWHLab developme... |
import numpy as np
import pandas as pd
import random
from model import model_fit
def data_from_model(baseline_params, startle_scaling_params, sound_scaling_params,
prepulse_conditions, startle_sounds_each_condition, noise=0.01):
data = []
for i, condition in enumerate(prepulse_conditions)... |
# proxy module
from traitsui.wx.themed_slider_editor import *
|
# coding=utf-8
import random
import os
if __name__ == "__main__":
DATA_PATH='argoLog_pro_finish.txt'
DATA_PATH_SF='argoLog_pro_finish_sf.txt'
sentences=[]
for sentence in open(DATA_PATH):
sentences.append(sentence)
sentences=[s.encode('utf-8').split() for s in sentences]
# prin... |
#########################################################################
# Copyright (C) 2007, 2008, 2009
# Alex Clemesha <alex@clemesha.org> & Dorian Raymer <deldotdr@gmail.com>
#
# This module is part of codenode, and is distributed under the terms
# of the BSD License: http://www.opensource.org/licenses/bsd-li... |
import os
import urllib
from cosalib.cmdlib import run_verbose
from tenacity import (
retry,
stop_after_attempt
)
@retry(reraise=True, stop=stop_after_attempt(3))
def remove_azure_image(image, resource_group, auth, profile):
print(f"Azure: removing image {image}")
try:
run_verbose([
... |
#!/usr/bin/env python
import numpy as np
import time
if "flush" in dir(np):
np.flush()
begin = time.time()
#a = np.sum(((np.ones(100)+1.0)*2.0)/2.0)
a = np.sum(np.random.random(50000000))
#a = np.multiply.accumulate(np.ones((8,8), dtype=np.float32))
print(a)
if "flush" in dir(np):
np.flush()
end = time.time... |
#!/usr/bin/python3
import timeit
from jk_tokenizingparsing import *
from jk_tokenizingparsing.tokenmatching import *
tokens1 = [
Token("w", "someVar", None, None, None, None, None),
Token("d", "=", None, None, None, None, None),
Token("w", "a", None, None, None, None, None),
Token("d", "+", None, None, None,... |
from sklearn.base import BaseEstimator, ClassifierMixin
from sklearn.utils.validation import check_X_y, check_array
import numpy as np
from scipy import sparse
from varsvm import CD
class weightsvm(BaseEstimator, ClassifierMixin):
"""
the function use coordinate descent to update the drift linear SVM
C \su... |
import plotly
import pandas as pd
import numpy as np
import plotly.express as px
from pytest import approx
import pytest
import random
def test_facets():
df = px.data.tips()
fig = px.scatter(df, x="total_bill", y="tip")
assert "xaxis2" not in fig.layout
assert "yaxis2" not in fig.layout
assert fig... |
'''
Plots a histogram showing the durations of the sound sampled.
This script was written to verify that the vast majority of sound samples
was exactly 4s of length (>95%).
@date 2017-05-19
'''
import wave
import contextlib
import sys
import os
from os import listdir
from os.path import isfile, isdir, join
import mat... |
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
def execute():
fields = {"Cost Center": "project", "Project": "cost_center"}
for budget_against, field in fields.items():
frappe.db.s... |
# ----------------------------------------------------------------------------
# Copyright (c) 2016-2017, QIIME 2 development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... |
import numpy as np
import time
import torch
from torch import nn, optim, distributions
import torch.backends.cudnn as cudnn
cudnn.benchmark = False
from batchgenerators.dataloading import MultiThreadedAugmenter
from trixi.util import Config, ResultLogDict
from trixi.experiment import PytorchExperiment
from model impo... |
from setuptools import find_packages
from setuptools import setup
setup(
name='ros2srv',
version='0.6.3',
packages=find_packages(exclude=['test']),
install_requires=['ros2cli'],
zip_safe=True,
author='Dirk Thomas',
author_email='dthomas@osrfoundation.org',
maintainer='Dirk Thomas',
... |
# Init Solution
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
from IPython.display import display, Markdown
# Init Solution completed
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier, plot_tree
from s... |
from itertools import product
import random
import sys
sys.path.append(
'/home/rpl/Documents/rasmus/crazyswarm/ros_ws/src/crazyswarm/scripts/perceived-safety-study/utils'
)
from Participant import Participant
from globalVariables import DRONE_START_X, DRONE_START_Y, GOAL_OFFSET_X, GOAL_OFFSET_Y, HEIGHT_OFFSET, PA... |
"""
29. 两数相除
https://leetcode-cn.com/problems/divide-two-integers/
1. 如果被除数是0 则直接返回0
2. 先对结果的 符号 进行判定, 然后将被除数和除数 全部取正数
3. 由于不能用除法和乘法, 所以准备一个哈希 来存 除数的倍数, 例如 10/3, 哈希存储 {6:2, 3:1}
4. 对哈希的 倍数除数进行排序, 期望先取到最大的
5. 使用DFS 更新结果, 在循环时只要存在除数有效时 直接跳出循环
6. 对临界条件进行判定
"""
def divide(dividend, divisor):
if dividend == 0:
... |
import os
import sys
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision.utils
from torchvision import models
import torchvision.datasets as dsets
import torchvision.transforms as transforms
from torchattacks import PGD, FGSM, MultiAttack
import os
os.environ["KMP_DU... |
# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
from collections import defaultdict
import sys
import logging
import re
import time
from numpy.core.fromnumeric import alltrue
import pandas as pd
import numpy as np
from torch.nn.modules import transformer
from tqdm import tqdm
... |
from pyrogram import Client, filters
import os, shutil
from creds import my
from telegraph import upload_file
import logging
logging.basicConfig(level=logging.INFO)
TGraph = Client(
"Image upload bot",
bot_token = my.BOT_TOKEN,
api_id = my.API_ID,
api_hash = my.API_HASH
)
@TGraph.o... |
import os
import torch
from torch import nn, optim
from l5kit.configs import load_config_data
from l5kit.data import LocalDataManager, ChunkedDataset
from l5kit.data import get_dataset_path
from l5kit.dataset import EgoDatasetVectorized
from l5kit.planning.vectorized.closed_loop_model import VectorizedUnrollModel
fro... |
# -*- coding: utf-8 -*-
"""
:author: Grey Li (李辉)
:url: http://greyli.com
:copyright: © 2018 Grey Li <withlihui@gmail.com>
:license: MIT, see LICENSE for more details.
"""
import logging
import os
from logging.handlers import SMTPHandler, RotatingFileHandler
import click
from flask import Flask, render... |
import os
from copy import deepcopy
from core import string_to_component
from _constants import *
from plotting_settings import *
from plotting_settings import plotting_parameters_GUI
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
png_directory = os.path.join(os.path.dirname(__file__), ".graph... |
from brazilnum.cnpj import format_cnpj
from brazilnum.cpf import format_cpf
from django.contrib.postgres.search import SearchQuery, SearchRank
from django.db.models import F
from django.utils.safestring import mark_safe
from jarbas.chamber_of_deputies.models import Reimbursement
from jarbas.dashboard.admin import list... |
#!/usr/bin/env python
from sqlalchemy import create_engine
from sqlalchemy import MetaData, Column, Table, PrimaryKeyConstraint
from sqlalchemy import String, DateTime, Float
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
import datetime
Base = declarative_base()
metada... |
from mgetool.tool import tt
from mgetool.tool import tt
from sklearn.datasets import load_boston
from fastgplearn.skflow import SymbolicRegressor as FSR
from gplearn.genetic import SymbolicRegressor as SR
from bgp.skflow import SymbolLearning
x, y = load_boston(return_X_y=True)
sr1 = FSR(population_size=10000, gener... |
import streamlit as st
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.models import load_model
import streamlit as st
st.set_page_config(
page_title='Find your X-men',
page_icon='icon.png'
)
st.image('icon.png')
st.subheader("Upload an image and find which X-men character it contai... |
from foo.bar import Grill
class FooBarExample:
def make_grill(self, grill):
"""
:rtype: Grill
"""
return Grill()
|
################################################################################################
# #
# G code interpreter and executer for 2D CNC laser engraver using Raspberry Pi #
# Xiang Zhai, Oct 1, 2013 ... |
class Stoplight:
def __init__(self, color):
self.color = color
sl = Stoplight("Green")
print sl.color
|
from fastapi import FastAPI, HTTPException
from fastapi.params import Depends
from crawler_api.crawlers import COURTS
from crawler_api.models.requests import LegalProcess
from crawler_api.models.response import LegalProcessDetailResponse, Message
from crawler_api.session import HttpAsyncSession
app = FastAPI(
tit... |
#
# Copyright (C) [2020] Futurewei Technologies, Inc.
#
# FORCE-RISCV is 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
#
# THIS SOFTWARE IS PR... |
import hfo
class Goalie:
def __init__(self):
pass
|
#
# Copyright 2014 ARM Limited and Contributors.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list ... |
from pandas import DataFrame
from shutil import rmtree
from math import isclose
from glob import glob
import chemw
import re, os
def test_inits():
# import the class modules
chem_mw = chemw.ChemMW()
phreeq_db = chemw.PHREEQdb()
print(os.getcwd())
for TF in [chem_mw.verbose, chem_mw.final, chem_mw.... |
"""
Set the min/max for each panel based on input data
"""
from typing import Dict
from ....tk.arrayTK import minmax
from ..readFileOrList import readFileOrList
import numpy
def set_panel_minmax(params):
# type: (Dict) -> Dict
"""See the min/max for each panel
Args:
params (dict): plotting parame... |
import time
import cv2
import numpy as np
def run():
filename = '../../dataset/Hands/Hand_0000083.jpg'
img = cv2.imread(filename)
# small = cv2.resize(img, (0, 0), fx=0.9, fy=0.9)
small = img
gray = cv2.cvtColor(small, cv2.COLOR_BGR2GRAY)
# subpixel - further refinement
gray = np.float32... |
#!/dark/usr/anaconda/bin/python
#/usr/bin/env python
i... |
import pytest
import numpy as np
import pandas as pd
from pandas.testing import assert_frame_equal
from ..cifi import analyzeObservations
from .create_test_data import createTestDataSet
MIN_OBS = range(5, 10)
def test_analyzeObservations_noClasses():
### Test analyzeObservations when no truth classes are given
... |
from collections import Counter
def friends_of_friend_ids_bad(user):
#"foaf" acrônimo friend of a friend
return [foaf["id"]
for friend in user["friends"] #para cada amigo de usuário
for foaf in friend["friends"]] #para acada _their_friends
def not_the_same(user, other_user):
# doi... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.utils.timezone
import datetime
import django_extensions.db.fields
class Migration(migrations.Migration):
dependencies = [
('coffee', '0002_auto_20140903_2207'),
]
operations = ... |
import datetime
from pymongo import MongoClient
from bson import ObjectId
from werkzeug.security import generate_password_hash, check_password_hash
from flask_restful import abort
client = MongoClient(host="localhost", port=27017)
db = client.blog
User = db.user
Post = db.post
Comment = db.comment
def create_user(... |
import unittest
import math
from batchlib.util.elisa_results_parser import ElisaResultsParser
class TestElisaResultsParser(unittest.TestCase):
def test_elisa_results_parsing(self):
elisa_results_parser = ElisaResultsParser()
results = elisa_results_parser.get_elisa_values('C14d', test_names=['EL... |
# -*- coding: utf-8 -*-
# Copyright (c) 2014, 2015, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
try:
from IPython.html.widgets import DOMWidget
from IPython.utils.traitlets import Unicode, Int, Bool
except Exception as exp:
# Init dummy objects needed t... |
AUTOCFG_TEMPLATE = r"""
PROJECT_NAME = "{project_name}"
OUTPUT_DIRECTORY = {output_dir}
GENERATE_LATEX = NO
GENERATE_MAN = NO
GENERATE_RTF = NO
CASE_SENSE_NAMES = NO
INPUT = {input}
ENABLE_PREPROCESSING = YES
QUIET = YES
JAVADOC_AUTOBRIEF = YES
JAVADOC_AUTOBRIEF = NO
GENERATE_HTML =... |
from object_detection.utils import visualization_utils as vis_util
from object_detection.utils import ops as utils_ops
from object_detection.utils import label_map_util
from distutils.version import StrictVersion
import tensorflow as tf
from PIL import Image
import numpy as np
import cv2
# Check the version of the Ten... |
"""
Test various functions regarding chapter 8: MDI, MDA, SFI importance.
"""
import os
import unittest
import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import f1_score, accuracy_score
from mlfinlab.u... |
"""Add subtitles to a DASH OnDemand MPD."""
import os
import re
import sys
from collections import namedtuple
from argparse import ArgumentParser
from backup_handler import make_backup, BackupError
Format = namedtuple('Format', 'name mime_type extension')
FORMATS = {
'ttml': Format('ttml', 'application/ttml+x... |
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