content stringlengths 5 1.05M |
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#!/usr/bin/env python
#
# get uncertainty of a single DEM, using the provided reference points (e.g. ICESAT).
# last modified: Whyjay Zheng, June 6, 2019
#
#
# usage: DEMUncertainty.py [-h] [-z Z_FIELD] Refpts_file DEM_file
# positional arguments:
# Refpts_file Path to the reference poin... |
import b
def x():
print('x')
if __name__ == '__main__':
b.y()
|
import json
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import MaxNLocator
import exact_solver
def plot_json(file, fig):
#data = json.load(file)
#results = json.loads(data.get('data'))
#print(results)
results = file
size = [x.get('size') for x in results]
max_size ... |
"""
Snippet for creating a tamr client object with manual passing of credentials during runtime.
Note: This approach cannot be coupled with fully automated workflows (e.g., crontab jobs)
"""
from getpass import getpass
from tamr_toolbox import utils as tbu
# load configuration variables that do not include AUTH crede... |
#-----------------------------------------------------------------------------
# Copyright (c) 2013-2020, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License (version 2
# or later) with exception for distributing the bootloader.
#
# The full license is in the file COPYING.txt... |
import mmcv
def split_combined_polys(polys, poly_lens, polys_per_mask):
"""Split the combined 1-D polys into masks.
A mask is represented as a list of polys, and a poly is represented as
a 1-D array. In dataset, all masks are concatenated into a single 1-D
tensor. Here we need to split the te... |
####################################################################
## Author:
## Xiang Ruan
## http://ruanxiang.net
## ruanxiang@gmail.com
## License:
## GPL 2.0
## Version:
## 1.0
##
## ----------------------------------------------------------------
## A simple live demo showing how to... |
"""
A set of PyQt distutils extensions for build qt ui files in a pythonic way:
- build_ui: build qt ui/qrc files
"""
__version__ = '0.7.3'
|
from Acquire.Service import Service as _Service
__all__ = ["IdentityService"]
class IdentityService(_Service):
"""This is a specialisation of Service for Identity Services"""
def __init__(self, other=None):
if isinstance(other, _Service):
from copy import copy as _copy
self._... |
#!/usr/bin/python
bowtie_build = "/mnt/home/grcuser/GRC_projects/GRC_miseq-quality_UI/Phi-X"
fasta_file = "/mnt/home/grcuser/GRC_projects/GRC_miseq-quality_UI/Phi-X.fa"
def directory_crawler(pathname):
import sys
import os
lst_R1_R2= []
i = 0
if pathname[-1] != '/':
pathname += '/'
if os.path.isdir(pathn... |
"""Classes for specifying probe pytorch modules."""
import torch.nn as nn
import torch
class Probe(nn.Module):
pass
class TwoWordPSDProbe(Probe):
""" Computes squared L2 distance after projection by a matrix.
For a batch of sentences, computes all n^2 pairs of distances
for each sentence in the batch.
"""... |
import numpy as np
import os
from gym import utils
from gym.envs.mujoco import mujoco_env
class AntEnv(mujoco_env.MujocoEnv, utils.EzPickle):
def __init__(self):
dir_path = os.path.dirname(os.path.realpath(__file__))
mujoco_env.MujocoEnv.__init__(self, '%s/assets/ant.xml' % dir_path, 5)
u... |
#方框滤波函数
import cv2
#读取图像，存储于 img 中
img = cv2.imread("1.jpg")
#result = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
#################################################################
#进行方框滤波
#cv2.boxFilter(
# InputArray src,
# OutputArray dst,
# int ddepth,
# ... |
from block import Block
from rainbow import rainbowcolors
class Number:
number_pixels = [
[[1, 1, 1, 1],
[1, 0, 0, 1],
[1, 0, 0, 1],
[1, 0, 0, 1],
[1, 1, 1, 1]],
[[0, 0, 0, 2],
[0, 0, 0, 2],
[0, 0, 0, 2],
[0, 0, 0, 2],
[0, 0... |
from __future__ import annotations
import re
from configparser import ConfigParser
from functools import partial
from typing import Callable, Mapping
from .util import fix_and_reorder, to_boolean
def format_tox_section(parser: ConfigParser, pin_toxenvs: list[str]) -> None:
if not parser.has_section("tox"):
... |
# SOLIDA PATHS
SOLIDA_CONFIG_FILE = '/home/appuser/.config/solida/config.yaml'
SOLIDA_PROFILES_ROOT = '/home/appuser/.local/share/solida/'
SOLIDA_PROFILE_NAME = 'sample'
SOLIDA_PROJECTS_PATH = '/home/appuser/projects'
SOLIDA_TMP_PATH = '/home/appuser/.tmp'
SOLIDA_DEPLOY_MODES = [dict(value='ssh', label='in remote hosts... |
import cv2, numpy as np
# 플로우 결과 그리기 ---①
def drawFlow(img,flow,step=16):
h,w = img.shape[:2]
print('h, w', h ,',', w)
# 16픽셀 간격의 그리드 인덱스 구하기 ---②
idx_y,idx_x = np.mgrid[step/2:h:step,step/2:w:step].astype(np.int)
#print('idx_y',idx_y,'idx_y.shape',np.shape(idx_y),'idx_x',idx_x,'idx_x.shape',np.shape(idx_x))... |
import dec
print ('Preparing mnist data. This could take a while...')
dec.make_mnist_data()
|
from pathlib import Path
import boto3
import superannotate as sa
s3_client = boto3.client('s3')
S3_PREFIX = 'frex9'
S3_PREFIX2 = 'frex_temp'
S3_BUCKET = 'superannotate-python-sdk-test'
PROJECT_NAME_EXPORT = "Example project test export upload s3 export "
PROJECT_NAME_UPLOAD = "Example project test export upload s3 ... |
from contextlib import contextmanager
import functools
import syft
class Trace:
"""
Manage logging operations on the fly as they run
Attributes:
active: if True, recording of operation is active
out_of_operation: it True, is ready to record the next operation,
means that it's... |
# Copyright 2018,2019,2020,2021 Sony Corporation.
# Copyright 2021 Sony Group Corporation.
#
# 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
#... |
import numpy as np
import matplotlib.pyplot as plt
import os
from SLIP import imread
from SLIP import Image as Image_SLIP
import time
from PIL import Image
from skimage.color import rgb2hsv, rgb2lab, hsv2rgb, lab2rgb
import torch
torch.set_default_tensor_type('torch.DoubleTensor')
import imageio
from torch.nn.fun... |
# 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 cgitb import small
import threading
import traceback
from decimal import ROUND_DOWN, ROUND_UP
from croutils import json, time, Decimal, query, public_query, create_pair, get_ratio, get_settings
TRADING_ENGINE_ACTIVE = 0
CRYPTO_CURRENCY_KEY = "CRYPTO_CURRENCY"
BASE_CURRENCY_KEY = "BASE_CURRENCY"
ORDER_TIME_INTERVA... |
from harness.wires.uvicorn import ServerWire
from mccoy_wires import WiresIn, WiresOut
async def app(scope, receive, send):
assert scope["type"] == "http"
await send(
{
"type": "http.response.start",
"status": 200,
"headers": [[b"content-type", b"text/plain"]],
... |
from django.db import models
from db.baseModel import *
# Create your models here.
class SystemSetup(models.Model):
loginTitle = models.CharField(max_length=20, null=True, blank=True, verbose_name='登录标题')
mainTitle = models.CharField(max_length=20, null=True, blank=True, verbose_name='系统标题')
headTitle = m... |
"""Globals shared across modules
"""
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import print_function
import pprint
EMPTY_STR = ''
LOCAL_PATH_INDICATOR = '.'
VERSION_SEPERATOR = '.'
LOG_FILE_NAME = 'manage_externals.log'
PPRINTER = pprint.PrettyPrinter(indent=4)
V... |
#!/usr/bin/python
# Copyright (C) 2009 The Android Open Source Project
#
# 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 require... |
import pytest
import epics
import recordwhat
from .util import skip_if_pv_unavailable
motor_pv = 'XF:31IDA-OP{Tbl-Ax:X1}Mtr'
records = [
('ai', 'Py:ai1'),
('ao', 'Py:ao1'),
('bi', 'Py:bi1'),
('bo', 'Py:bo1'),
('fanout', 'Py:mylinker'),
('longin', 'Py:long1'),
('longout', 'Py:long2'),
... |
import math
import gym
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.optim as optim
import torch.autograd as autograd
import torch.nn.functional as F
from rllite.common import PrioritizedReplayBuffer
from rllite.common import make_atari, wrap_deepmind, wrap_pytorch... |
# import demoji
emojilist = "SERIUS.. ADA APA LOE SAMA BETRAND PETO⁉️ RUBEN ONSU. IVAN GUNAWAN - Deddy Corbuzier Podcast"
# demoji.findall(emojilist)
o="Team yg nonton doang ketawa2 sampe sedih2 tapi gak vote awra qarisma🙋🙋🙋asdasdasd addasd"
import re
my_str = "hey th~!ere"
my_new_string = re.sub('[^a-zA-Z0-9 \n... |
"""
2D sprite creation and rendering module.
"""
from typing import Sequence, Tuple, Any, cast, Optional
from _beer import lib, ffi
from beer.texture import Texture
class Sheet:
"""
Spritesheet geometry on top of a texture.
"""
def __init__(self, texture: Texture, frames: Sequence[Tuple[int, int, int... |
import sys, time
from gensim import corpora, models, similarities
from gensim.corpora import SvmLightCorpus
input_file = sys.argv[1]
output_file = sys.argv[2]
###
print "loading data..."
print time.strftime("%H:%M:%S", time.localtime())
c = SvmLightCorpus( input_file )
print "starting tf-idf..."
print
tfidf = mod... |
import numpy as np
def new_target():
while True:
x = np.random.random(2) * 4 - 2
if np.sum(x**2) < 8:
break
return x |
from . import postgres_connection
|
from starlette.endpoints import HTTPEndpoint
from starlette.responses import PlainTextResponse, JSONResponse
from starlette.routing import Route
from app.model import Application
def assert_json(data: dict, field: str, data_type: type) -> bool:
value = data.get(field)
return value is not None and type(value)... |
# Generated by Django 4.0.1 on 2022-02-10 02:33
from django.db import migrations, models
import users.models.user
class Migration(migrations.Migration):
dependencies = [
('users', '0002_user_biography_user_gender_user_phone_number_and_more'),
]
operations = [
migrations.AddField(
... |
# This code takes images and calibrates the camera based of the images
# we expect the object to be detected in the bottom middle of the cameras view. This will calibrate on the largest object
# in this view
import cv2
import numpy as np
myDebug = False
def nothing(x):
pass
###################################... |
from django.conf.urls import include, url
from foundation_email import views
urlpatterns = (
url(r'^email/task/(.*)/(.*)/$', views.task_page, name='foundation_email_task'),
url(r'^email/intake/pending/(.*)/$', views.pending_intake_page, name='foundation_email_pending_intake'),
url(r'^email/intake/approved... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import io
import re
import time
import math
import json
import random
import sqlite3
import weakref
import warnings
import itertools
import collections
import configparser
import collections.abc
import concurrent.futures
import pycurl
import prcoords
import tor... |
"""__init__.py - the javabridge package
python-javabridge is licensed under the BSD license. See the
accompanying file LICENSE for details.
Copyright (c) 2003-2009 Massachusetts Institute of Technology
Copyright (c) 2009-2013 Broad Institute
All rights reserved.
"""
import os.path
try:
from _version import __... |
import os
import argparse
import torch
from torch.utils.data import DataLoader
from transformers import BertTokenizer, BertForTokenClassification
from dataset import prepare_data, TypoDataset
from utils import load_config
from train_typo_detector import evaluate
def main(config, test_json, checkpoint, threshold):
... |
from .models import Bot
|
import os
import pandas
import numpy as np
from bokeh.palettes import Viridis4 as palette
from bokeh.layouts import layout, column, row
from bokeh.plotting import figure, output_file, show, ColumnDataSource
from bokeh.models import HoverTool, Div, DataTable, TableColumn, NumberFormatter, LinearAxis, Select, CustomJS, ... |
# This needs a lot of work and unit testing for failures
# As failure occurs, and it will, especially with the printer routine below
# a test should be added - christopher.warner@nyu.edu
from zope.interface import Interface
from zope import schema
from zope.component import getUtility
from Products.Five.browser import... |
import os
from dotenv import load_dotenv
import pprint
import requests
import json
pp = pprint.PrettyPrinter(indent = 4)
dotenv_path = os.path.join(os.path.dirname(__file__), '.env')
load_dotenv(dotenv_path)
key = os.getenv('TRELLO_KEY')
token = os.getenv('TRELLO_TOKEN')
def get_all_boards():
boards_url = 'htt... |
from distutils.core import setup, Extension
def main():
setup(name="mpkmemalloc",
version="1.0.0",
description="Python interface for MPK memory allocators",
author="Swaroop Kotni",
author_email="jjkotni@github.com",
ext_modules=[Extension("mpkmemalloc", ["mpkmemall... |
# To get the number of occurrences of a specified element in an array
import array as a
ar = a.array('i', [34, 67, 84, 67, 80, 32, 54])
print('Occurence of 67 -> ', ar.count(67))
c, m = 0, 67
for x in ar:
if x == m:
c = c + 1
print('Occurence -> ', c)
|
s="Face_Recognition"
def show_text(s):
print(s)
show_text(s)
|
from sqlalchemy.exc import IntegrityError
from Hinkskalle.models.Manifest import Manifest, ManifestContentSchema, ManifestSchema, ManifestTypes
from Hinkskalle.models.Tag import Tag
from Hinkskalle import db
from ..model_base import ModelBase
from .._util import _create_image
class TestManifest(ModelBase):
def tes... |
# Generated by Django 3.0.2 on 2020-03-17 08:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('myApp', '0016_usergroup_buyer'),
]
operations = [
migrations.CreateModel(
name='Chat',
fields=[
('id... |
import numpy as np
from PIL import Image, ImageOps
import cv2
import streamlit as st
import tensorflow as tf
model = tf.keras.models.load_model('Model_4_classes.h5')
st.write("""# Rock-Paper-Scissor Hand Sign Prediction""")
st.write("This is a simple image classification web app to predict rock-paper-scissor hand sign"... |
# -*- coding: utf-8 -*-
"""Sum of Multiple elements.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1vck1vNUPglLGZ2MxRjUlPD7j8v1DVGfP
"""
x = input("Enter Values")
y = x.split()
sum = 0
for i in y:
sum = sum + int(i)
print("The Sum of Entered... |
#!/usr/bin/env python
"""reducer.py"""
import sys
from collections import Counter
def main():
word_count=Counter()
for line in sys.stdin:
# line = line.translate(None, string.punctuation)
word, count=line.strip().split()
try:
count=int(count)
except:
ra... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from .base import BaseProperty
from .battery import BatteryProperty
from .boolean import BooleanProperty
from .button import ButtonProperty
from .color import ColorProperty
from .contact import ContactProperty
from .datetime import DateTimeProperty
from .dimmer import Dim... |
import unittest
import time
from tests.lib.client import get_client
from tests.lib.utilities import Utilities
from tests.lib.user_verifications import verify_card_holder_model
class TestUsersList(unittest.TestCase):
"""Tests for the users.list endpoint."""
@classmethod
def setUpClass(cls):
"""Se... |
import os
import boto3
import logging
import cx_Oracle
from botocore.exceptions import ClientError
from cfn_resource_provider import ResourceProvider
log = logging.getLogger()
request_schema = {
"$schema": "http://json-schema.org/draft-04/schema#",
"type": "object",
"oneOf": [
{"required": ["Datab... |
import streamlit as st
import pandas as pd
import numpy as np
import altair as alt
import pydeck as pdk
import nltk
from nltk.tokenize import TweetTokenizer
from nltk.corpus import stopwords
import string
from wordcloud import WordCloud
import json
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors... |
from __future__ import print_function
import os
import torch
from model_def import Net
def model_fn(model_dir):
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model = Net()
with open(os.path.join(model_dir, "model.pth"), "rb") as f:
model.load_state_dict(torch.load(f))
... |
from abb_deeplearning.abb_neuralnet_helpers import nn_tfrecords_creator
import datetime as dt
import abb_deeplearning.abb_data_pipeline.abb_clouddrl_constants as ac
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("suffix", help="")
parser.add_argument("image_per_sample", help="")
parser.add_ar... |
""""""
from os import getenv
from typing import Dict, List
import unittest
import shimoku_api_python as shimoku
from shimoku_api_python.exceptions import ApiClientError
api_key: str = getenv('API_TOKEN')
universe_id: str = getenv('UNIVERSE_ID')
business_id: str = getenv('BUSINESS_ID')
environment: str = getenv('ENVI... |
# generates list of large airports
"""
Creates csv of large airports. To run, first download csv from http://ourairports.com/data/
Run script using the following command to generate csv called 'large_airport.csv'
cat path/to/downloaded/csv | python large_airports.py > large_airports.csv
We generate a list of bo... |
def format_customer(first, last, location=None):
full_name = '%s %s' % (first, last)
if location:
return '%s (%s)' % (full_name, location)
else:
return full_name
|
# -*- coding: utf-8 -*-
"""EAST_TFLite
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/github/sayakpaul/Adventures-in-TensorFlow-Lite/blob/master/EAST_TFLite.ipynb
This notebook relies on this PyImageSearch blog post [OpenCV Text Detection (EAST text detecto... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Luzac Rooster PDF to Google Calendar
# Developed by Sander Laarhoven (c) 2016
# Licensed under the MIT License
# https://git.io/luzac
# Import required default modules.
import sys
import os.path
import subprocess
import json
import datetime
# Import our files.
import ... |
#!/usr/bin/env python3
# vim: set ts=8 sts=4 et sw=4 tw=99:
#
# A better CSV manipulation library for the OpenPowerlifting format.
#
import codecs
class Csv:
def __init__(self, filename=None):
if filename:
with open(filename, 'r', encoding='utf-8') as fd:
self.fieldnames = fd... |
# Sets types_of_people variable to 10
# sets x to formatted string referencing
# the types_of_people variable
types_of_people = 10
x = f"There are {types_of_people} types of people."
# sets binary variable to binary string
# sets do_not varialbe to don't string
# sets y variable to formatting string
# referencing bina... |
# Exercício Python 081: Crie um programa que vai ler vários números e colocar em uma lista. Depois disso, mostre:
# A) Quantos números foram digitados.
# B) A lista de valores, ordenada de forma decrescente.
# C) Se o valor 5 foi digitado e está ou não na lista.
lista = []
quantos = 0
while True:
numero = int(input... |
# -*- coding: utf-8 -*-#
#
# December 23 2014, Christian Hopps <chopps@gmail.com>
#
# Copyright (c) 2015, Deutsche Telekom AG
#
# 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.ap... |
from torchvision import transforms, models, datasets
from torchvision.transforms import Compose
from torch.utils.data import DataLoader
import torchvision
import torch
import torch.nn as nn
from packaging import version
from adadamp.damping import BaseDamper
from adadamp.utils import _get_resnet18
def test_resnet18()... |
# flake8: NOQA
# "flake8: NOQA" to suppress warning "H104 File contains nothing but comments"
# class c_(object):
# class r_(object):
# class s_(object):
import numpy
import cupy
# TODO(okuta): Implement indices
def ix_(*args):
"""Construct an open mesh from multiple sequences.
This function takes N 1-D ... |
# Autogen with
with open("../datasets/lvis/lvis_v1_train.json", "r") as f:
a = json.load(f)
c = a["categories"]
all_image_count = len(set([_["image_id"] for _ in a["annotations"]]))
for x in c:
x["image_count_frequency"] = x["image_count"] / all_image_count
LVIS_CATEGORIES = repr(c) + " # noqa"
NUM_CLASSES = ... |
class Solution:
def convert(self, s: str, numRows: int) -> str:
if numRows == 1:
return s
res = []
for i in range(numRows):
res.append("")
now = 0
x = 1
for i in s:
res[now]+=i
now += x
if now == numRows-1:
... |
from __future__ import (
annotations,
)
import sys
from .. import (
Input,
)
from typing import (
List,
NoReturn,
)
class Reader:
def __init__(
self,
src: Input=(
sys.stdin.buffer
),
):
self.src = src
def __enter__(
self,
) -> Reader:
src_is_path = False
src = s... |
import itertools
import random
from typing import Dict, List
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx
def drawGraphWithCommunities(graph: nx.Graph, communities: Dict[int, List[int]] = None, weighted=False):
if communities is None:
communities = {n: [vertex] for n, vertex i... |
from django.urls import path
from django.conf import settings
from django.conf.urls.static import static
from . import views
app_name = 'article'
urlpatterns = [
path('', views.ArticleList.as_view(), name='article'),
path('comment/<int:article_id>',
views.CommentOfArticle.as_view(), name='comment'),... |
"""testing some analysis of the data"""
import itertools
import math
from typing import Any
import networkx as nx
from processing.model import Location
def publications_by_country(papers: dict[str, Any]) -> dict[Location, int]:
"""returns number of published papers per country"""
countries_publications = {}... |
import pytest
from elasticsearch_metrics import metrics
from elasticsearch_metrics.registry import registry
from tests.dummyapp.metrics import DummyMetric
class MetricWithAppLabel(metrics.Metric):
class Meta:
app_label = "dummyapp"
def test_metric_in_app_is_in_registry():
assert "dummyapp" in regis... |
import pickle as pk
import numpy as np
# import os
import os.path as osp
# import torch
# from torch import Tensor, nn
# from torch.nn import functional as F
from torch.utils.data import Dataset
# from torchvision import datasets, transforms
JOINT_NAMES = [
'base of the spine', 'middle of the spine', 'neck',... |
QUEST_IDS = [
1,
2,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
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... |
# -*- coding: utf-8 -*-
# Licensed under a 3-clause BSD style license - see LICENSE.rst
import multiprocessing
import warnings
from collections.abc import Iterable
import astropy.units as u
import emcee
import numpy as np
from astropy import log
from .utils import sed_conversion, validate_data_table
__all__ = [
... |
class DynaTableWidge:
def setStatusText(self, text):
self.navbar.status.setText(text)
|
# sbv_translate.py
# NOTE: used pyinstaller to create a single executable file
# pyinstaller -F sbv_translate.py
# there is a problem with pyinstaller
# (I had to include this file for the executable to run)
import pkg_resources.py2_warn
# Import the argparse library to handle command line arguments
import argparse
... |
from argparse import ArgumentParser
from pathlib import Path
import os
from icecap_framework import BaseComposition
from runtime_manager import RuntimeManager
from virtio_console_server import VirtioConsoleServer
class Composition(BaseComposition):
def compose(self):
self.virtio_console_server = self.comp... |
import bisect
import csv
import os
import shutil
import sys
import tempfile
import matplotlib
matplotlib.use('Agg') # noqa
from matplotlib import pyplot
# Graph settings
Y_LABEL = 'Counts'
X_LABEL = 'Number of matched replicates'
TICK_WIDTH = 3
# Amount to shift the graph to make labels fit, [left, right, top, botto... |
from distutils.core import setup
setup(
name = 'ex3groupf',
packages = ['ex3groupf'],
version = '0.1',
description = 'Group F final project for Financial Analytics',
author = 'group F',
author_email = 'ljohnnes@student.ie.edu',
url = 'https://github.com/LJohnnes/iembdfa',
download_url = 'https://github.com/LJo... |
from django.contrib.admin.sites import AdminSite
from django.test import TestCase
from handypackages.contact.admin import ContactAdminPanel
from handypackages.contact.models import Contact
class MockRequest:
def __init__(self, user=None):
self.user = user
request = MockRequest()
class ModelAdminTests... |
import unittest
import requests
from application import app
# set the application to testing mode
app.testing = True
class TestApi(unittest.TestCase):
BASE = "http://127.0.0.1:5000/"
def test_get_everyone(self):
expected = {"tony": {"name": "Tony Stark", "salary": 10000},
"bruce"... |
import os
from flask import Flask, request, redirect, url_for
from flask import flash
from werkzeug.utils import secure_filename
from keras.models import Sequential, load_model
import keras, sys
import numpy as np
from PIL import Image
classes = ["bns-v","btk","dsp","hcr","hdr25"]
num_classes = len(classes)
image_size... |
# -*- coding: utf-8 -*-
#-------------------------------------------------------------------------
# drawElements Quality Program utilities
# --------------------------------------
#
# Copyright 2018 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use t... |
"""Tests for Example Plugin."""
from ee.utils import test
class ExamplePluginTestCase(test.EETestCase):
def test_load_example_plugin(self):
self.app.setup()
self.app.plugin.load_plugin('example')
|
import os
import csv
import numpy as np
import pickle
from datetime import datetime
import matplotlib.pyplot as plt
import constants
find_text = [
"dulles town center", "reston", "adams field", "albuquerque international airport",
"amarillo international airport", "bangor international airport", "bem... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('analytics', '0008_auto_20160222_2117'),
]
operations = [
migrations.CreateModel(
name='AtmEventViewerEvent',
... |
from django.apps import AppConfig
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
import redis
class ExtrasConfig(AppConfig):
name = "extras"
def ready(self):
import extras.signals
# Check that we can connect to the configured Redis database.
... |
# coding: utf-8
import sys,os
import logging
import datetime
import urllib
from logging.handlers import TimedRotatingFileHandler
def is_stdout_attached_to_terminal():
'''判断当前进程组是不是前台进程组（主要关注stdout是否被关联到/dev/tty）'''
try:
# 如果stdout被绑定到终端设备上，则是前端进程组
if os.getpgrp() == os.tcgetpgrp(sys.stdout.file... |
class HashVersionType(basestring):
"""
Hash Version
Possible values:
<ul>
<li> "all_versions" - Version 1 and 2 (V1 and V2).,
<li> "version1" - Version 1 (V1).,
<li> "version2" - Version 2 (V2).
</ul>
"""
@staticmethod
def get_api_name():
return "has... |
import six, base64
def encode(b): # takes bytes, returns native string
assert isinstance(b, bytes), (type(b), b)
out = base64.b32encode(b).lower().rstrip(b"=")
return six.ensure_str(out)
# we use the rfc4648 base32 alphabet, in lowercase
BASE32_ALPHABET = 'abcdefghijklmnopqrstuvwxyz234567'
def is_base32(... |
"""Classification model tuning example.
https://www.kaggle.com/c/ieee-fraud-detection
Current configuration:
* use 10000 rows subset of train and test.
* use lgbm.
* custom metric example to pass_custom__kw_args.
* three-stage optimization:
1. default mlshell.model_selection.RandomizedSearchOptimizer on 'roc_auc'... |
#!/usr/bin/python
import pandas as pd
import matplotlib.pyplot as plt
from cycler import cycler
from math import log, ceil
import numpy as np
import sys
import itertools
import math
from matplotlib import container
#multichrome = cycler(color=list('bgrbgr')) + cycler(marker=['o','^','v','d','8','*']) + cycler(linestyl... |
from . import _cpu_base_backend as B
from ._cpu_base_backend import Network
from ._kernels import kernels_numpy
class DenseLayer(B.DenseLayer):
_update_state = staticmethod(kernels_numpy.update_state)
_softmax_minicolumns = staticmethod(kernels_numpy.softmax_minicolumns)
_update_counters = staticmethod(k... |
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