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lib/AFS/Command/FS.pm view on Meta::CPAN
if ( /^\s*(\d{1,2})%/ ) {
$path->_setAttribute
(
path => $paths[0],
percent => $1,
);
delete $paths{$paths[0]};
shift @paths;
}
lib/AFS/Command/FS.pm view on Meta::CPAN
# This is a bit lame. We want to be lazy and split on white
# space, so we get rid of this one annoying instance.
#
s/no limit/nolimit/g;
my ($volname,$quota,$used,$percent,$partition) = split;
$quota = 0 if $quota eq "nolimit";
$percent =~ s/\D//g; # want numeric result
$partition =~ s/\D//g; # want numeric result
$path->_setAttribute
(
path => $paths[0],
volname => $volname,
quota => $quota,
used => $used,
percent => $percent,
partition => $partition,
);
delete $paths{$paths[0]};
shift @paths;
}
if ( $operation eq 'diskfree' ) {
my ($volname,$total,$used,$avail,$percent) = split;
$percent =~ s/%//g; # Don't need it -- want numeric result
$path->_setAttribute
(
path => $paths[0],
volname => $volname,
total => $total,
used => $used,
avail => $avail,
percent => $percent,
);
delete $paths{$paths[0]};
shift @paths;
}
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t/lib/Test/RRA/Config.pm view on Meta::CPAN
=over 4
=item $COVERAGE_LEVEL
The coverage level achieved by the test suite for Perl test coverage
testing using Test::Strict, as a percentage. The test will fail if test
coverage less than this percentage is achieved. If not given, defaults
to 100.
=item @COVERAGE_SKIP_TESTS
Directories under F<t> whose tests should be skipped when doing coverage
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lib/AI/Evolve/Befunge/Population.pm view on Meta::CPAN
=head2 new_code_fragment
my $trash = $population->new_code_fragment($length, $density);
Generate $length bytes of random Befunge code. The $density parameter
controls the ratio of code to whitespace, and is given as a percentage.
Density=0 will return all spaces; density=100 will return no spaces.
=cut
sub new_code_fragment {
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lib/AI/MXNet/Callback.pm view on Meta::CPAN
method call(AI::MXNet::BatchEndParam $param)
{
my $count = $param->nbatch;
my $filled_len = int(0.5 + $self->length * $count / $self->total);
my $percents = int(100.0 * $count / $self->total) + 1;
my $prog_bar = ('=' x $filled_len) . ('-' x ($self->length - $filled_len));
print "[$prog_bar] $percents%\r";
}
*slice = \&call;
# Just logs the eval metrics at the end of an epoch.
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lib/AI/MaxEntropy/Util.pm view on Meta::CPAN
Generally, an experiment involves a training set and a testing set
(sometimes also a parameter adjusting set). The learner is trained with
samples in the training set and tested with samples in the testing set.
Usually, 2 measures of performance are concerned.
One is precision, indicating the percentage of samples which are correctly
predicted in the testing set. The other one is recall, indicating the
precision of samples with a certain label.
=head1 FUNCTIONS
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libmegahal.c view on Meta::CPAN
/*---------------------------------------------------------------------------*/
/*
* Function: Progress
*
* Purpose: Display a progress indicator as a percentage.
*/
bool progress(char *message, int done, int total)
{
static int last=0;
static bool first=FALSE;
libmegahal.c view on Meta::CPAN
}
return(TRUE);
}
/*
* Erase what we printed last time, and print the new percentage.
*/
last=done*100/total;
//if(done>0) fprintf(stderr, "%c%c%c%c", 8, 8, 8, 8);
//fprintf(stderr, "%3d%%", done*100/total);
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BackProp.pm view on Meta::CPAN
}
}
print "\n";
}
# Returns percentage difference between all elements of two
# array refs of exact same length (in elements).
# Now calculates actual difference in numerical value.
sub pdiff {
no strict 'refs';
shift if(substr($_[0],0,4) eq 'AI::');
BackProp.pm view on Meta::CPAN
}
$a1s = 1 if(!$a1s);
return sprintf("%.10f",($diff/$a1s));
}
# Returns $fa as a percentage of $fb
sub p {
shift if(substr($_[0],0,4) eq 'AI::');
my ($fa,$fb)=(shift,shift);
sprintf("%.3f",((($fb-$fa)*((($fb-$fa)<0)?-1:1))/$fa)*100);
}
BackProp.pm view on Meta::CPAN
# This sub will take an array ref of a data set, which it expects in this format:
# my @data_set = ( [ ...inputs... ], [ ...outputs ... ],
# ... rows ...
# );
#
# This wil sub returns the percentage of 'forgetfullness' when the net learns all the
# data in the set in order. Usage:
#
# learn_set(\@data,[ options ]);
#
# Options are options in hash form. They can be of any form that $net->learn takes.
#
# It returns a percentage string.
#
sub learn_set {
my $self = shift if(substr($_[0],0,4) eq 'AI::');
my $data = shift;
my %args = @_;
BackProp.pm view on Meta::CPAN
# This sub will take an array ref of a data set, which it expects in this format:
# my @data_set = ( [ ...inputs... ], [ ...outputs ... ],
# ... rows ...
# );
#
# This wil sub returns the percentage of 'forgetfullness' when the net learns all the
# data in the set in RANDOM order. Usage:
#
# learn_set_rand(\@data,[ options ]);
#
# Options are options in hash form. They can be of any form that $net->learn takes.
BackProp.pm view on Meta::CPAN
# Adjust for a maximum outside what we have seen so far
for my $i (0..$l) {
$rS=$in->[$i] if($in->[$i]>$rS);
}
#print "\$l:$l,\$rA:$rA,\$rB:$rB,\$rS:$rS,\$r:$r\n";
# Loop through, convert values to percentage of maximum, then multiply
# percentage by range and add to base of range to get finaly value
for my $i (0..$l) {
#print "\$i:$i,\$in:$in->[$i]\n";
$rS=1 if(!$rS);
my $t=intr((($rS-$in->[$i])/$rS)*$r+$rA);
#print "t:$t,$self->{rRef}->[$t],i:$i\n";
BackProp.pm view on Meta::CPAN
Options should be written on hash form. There are three options:
inc => $learning_gradient
max => $maximum_iterations
error => $maximum_allowable_percentage_of_error
$learning_gradient is an optional value used to adjust the weights of the internal
connections. If $learning_gradient is ommitted, it defaults to 0.20.
$maximum_iterations is the maximum numbers of iteration the loop should do.
It defaults to 1024. Set it to 0 if you never want the loop to quit before
the pattern is perfectly learned.
$maximum_allowable_percentage_of_error is the maximum allowable error to have. If
this is set, then learn() will return when the perecentage difference between the
actual results and desired results falls below $maximum_allowable_percentage_of_error.
If you do not include 'error', or $maximum_allowable_percentage_of_error is set to -1,
then learn() will not return until it gets an exact match for the desired result OR it
reaches $maximum_iterations.
=item $net->learn_set(\@set, [ options ]);
BackProp.pm view on Meta::CPAN
flag => $flag
pattern => $row
If "flag" is set to some TRUE value, as in "flag => 1" in the hash of options, or if the option "flag"
is not set, then it will return a percentage represting the amount of forgetfullness. Otherwise,
learn_set() will return an integer specifying the amount of forgetfulness when all the patterns
are learned.
If "pattern" is set, then learn_set() will use that pattern in the data set to measure forgetfulness by.
If "pattern" is omitted, it defaults to the first pattern in the set. Example:
BackProp.pm view on Meta::CPAN
then it will run the very first pattern (or whatever pattern is specified by the "row" option)
in the set after it has finished learning. It will compare the run() output with the desired output
as specified in the dataset. In a perfect world, the two should match exactly. What we measure is
how much that they don't match, thus the amount of forgetfulness the network has.
NOTE: In version 0.77 percentages were disabled because of a bug. Percentages are now enabled.
Example (from examples/ex_dow.pl):
# Data from 1989 (as far as I know..this is taken from example data on BrainMaker)
my @data = (
BackProp.pm view on Meta::CPAN
data dumps.
Level 3 ($level = 3) : JUST prints weight mapping as weights change.
Level 4 ($level = 4) : JUST prints the benchmark info for EACH learn loop iteteration, not just
learning as a whole. Also prints the percentage difference for each loop between current network
results and desired results, as well as learning gradient ('incremenet').
Level 4 is useful for seeing if you need to give a smaller learning incrememnt to learn() .
I used level 4 debugging quite often in creating the letters.pl example script and the small_1.pl
example script.
BackProp.pm view on Meta::CPAN
=item $net->pdiff($array_ref_A, $array_ref_B);
This function is used VERY heavily internally to calculate the difference in percent
between elements of the two array refs passed. It returns a %.10f (sprintf-format)
percent sting.
=item $net->p($a,$b);
Returns a floating point number which represents $a as a percentage of $b.
=item $net->intr($float);
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if($x>$break-1) { print "\n"; $x=0; }
}
print "\n";
}
# Returns percentage difference between all elements of two
# array refs of exact same length (in elements).
# Now calculates actual difference in numerical value.
sub pdiff {
no strict 'refs';
shift if(substr($_[0],0,4) eq 'AI::');
}
$a1s = 1 if(!$a1s);
return sprintf("%.10f",($diff/$a1s));
}
# Returns $fa as a percentage of $fb
sub p {
shift if(substr($_[0],0,4) eq 'AI::');
my ($fa,$fb)=(shift,shift);
sprintf("%.3f",$fa/$fb*100); #((($fb-$fa)*((($fb-$fa)<0)?-1:1))/$fa)*100
}
Options should be written on hash form. There are three options:
inc => $learning_gradient
max => $maximum_iterations
error => $maximum_allowable_percentage_of_error
degrade => $degrade_increment_flag
$learning_gradient is an optional value used to adjust the weights of the internal
connections. If $learning_gradient is ommitted, it defaults to 0.002.
$maximum_iterations is the maximum numbers of iteration the loop should do.
It defaults to 1024. Set it to 0 if you never want the loop to quit before
the pattern is perfectly learned.
$maximum_allowable_percentage_of_error is the maximum allowable error to have. If
this is set, then learn() will return when the perecentage difference between the
actual results and desired results falls below $maximum_allowable_percentage_of_error.
If you do not include 'error', or $maximum_allowable_percentage_of_error is set to -1,
then learn() will not return until it gets an exact match for the desired result OR it
reaches $maximum_iterations.
$degrade_increment_flag is a simple flag used to allow/dissalow increment degrading
during learning based on a product of the error difference with several other factors.
flag => $flag
pattern => $row
If "flag" is set to some TRUE value, as in "flag => 1" in the hash of options, or if the option "flag"
is not set, then it will return a percentage represting the amount of forgetfullness. Otherwise,
learn_set() will return an integer specifying the amount of forgetfulness when all the patterns
are learned.
If "pattern" is set, then learn_set() will use that pattern in the data set to measure forgetfulness by.
If "pattern" is omitted, it defaults to the first pattern in the set. Example:
=item $net->p($a,$b);
Returns a floating point number which represents $a as a percentage of $b.
=item $net->intr($float);
=item $net->pdiff($array_ref_A, $array_ref_B);
This function is used VERY heavily internally to calculate the difference in percent
between elements of the two array refs passed. It returns a %.20f (sprintf-format)
percent sting.
=item $net->show();
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MPL-1.1.txt view on Meta::CPAN
License or a future version of this License issued under Section 6.1.
For legal entities, "You" includes any entity which controls, is
controlled by, or is under common control with You. For purposes of
this definition, "control" means (a) the power, direct or indirect,
to cause the direction or management of such entity, whether by
contract or otherwise, or (b) ownership of more than fifty percent
(50%) of the outstanding shares or beneficial ownership of such
entity.
2. Source Code License.
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lib/AI/Pathfinding/SMAstar/Examples/PalUtils.pm view on Meta::CPAN
$spinny_thing = "/";
}
my ($progress) = @_;
my $stars = '*' x int($progress*10);
my $percent = sprintf("%.2f", $progress*100);
$percent = $percent >= 100 ? '100.00%' : $percent.'%';
print("\r$stars $spinny_thing $percent.");
flush(STDOUT);
}
}
sub show_search_depth_and_percentage {
my ($depth, $so_far, $total) = @_;
my $stars = '*' x int($depth);
my $amount_completed = $so_far/$total;
my $percentage = sprintf("%0.2f", $amount_completed*100);
print("\r$stars depth: $depth. completed: $percentage %");
flush(STDOUT);
}
sub show_search_depth_and_num_states {
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lib/AI/Perceptron/Simple.pm view on Meta::CPAN
=head2 get_confusion_matrix ( \%options )
Returns the confusion matrix in the form of a hash. The hash will contain these keys: C<true_positive>, C<true_negative>, C<false_positive>, C<false_negative>, C<accuracy>, C<sensitivity>. More stats like C<precision>, C<specificity> and C<F1_Score> ...
If you are trying to manipulate the confusion matrix hash or something, take note that all the stats are in percentage (%) in decimal (if any) except the total entries.
For C<%options>, the followings are needed unless mentioned:
=over 4
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bin/aiprolog view on Meta::CPAN
"% no more" -- disables prompting for more results
"% nomore" -- same as "no more"
"% halt" -- stops the shell
"% help" -- display this message
Note that the percent sign must preceed the command. The percent sign
indicates a Prolog comment. Without that, aiprolog will think you're trying to
execute a prolog command.
aiprolog-specific commands are case-insensitive.
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t/annealing_tests.t view on Meta::CPAN
# Helper functions:
# The cost_function_factory() takes a reference to an array containing
# real-world market distances and returns a reference to a cost function.
# The cost function takes a reference to an array of three coefficients,
# and returns the mean absolute percentage deviation of the calculated
# results from the real-world results based on this formula:
#
# (a * sqrt(x + b)) + c
#
# where x is a number of trading days in the range 3 to 63.
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CONTRIBUTING view on Meta::CPAN
By contributing to this repository, you agree that any and all such Contributions and derivative works thereof shall immediately become part of the APTech Family of software and documentation, and you accept and agree to the following legally-binding...
1. Definitions.
"You" or "Your" shall mean the copyright owner, or legal entity authorized by the copyright owner, that is making this Agreement. For legal entities, the entity making a Contribution and all other entities that control, are controlled by, or are und...
"APTech" is defined as the Delaware corporation named Auto-Parallel Technologies, Inc. with a primary place of business in Cedar Park, Texas, USA.
The "APTech Family of software and documentation" (hereinafter the "APTech Family") is defined as all copyrightable works identified as "part of the APTech Family" immediately following their copyright notice, and includes but is not limited to this ...
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"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
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lib/LiteratureBasedDiscovery/Evaluation.pm view on Meta::CPAN
# output: the precision of results
sub calculatePrecision {
my $resultsMatrixRef = shift;
my $goldMatrixRef = shift;
# calculate the precision which is the percentage of results that are
# are in the gold standard
# (percent of generated that is gold)
my $count = 0;
foreach my $key(keys %{$resultsMatrixRef}) {
if (exists ${$goldMatrixRef}{$key}) {
$count++;
}
lib/LiteratureBasedDiscovery/Evaluation.pm view on Meta::CPAN
# output: the recall of results
sub calculateRecall {
my $resultsMatrixRef = shift;
my $goldMatrixRef = shift;
# calculate the recall which is the percentage of knowledge in the gold
# standard that was generated by the LBD system
# (percent of gold that is generated)
my $count = 0;
foreach my $key(keys %{$goldMatrixRef}) {
if (exists ${$resultsMatrixRef}{$key}) {
$count++;
}
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lib/API/PureStorage.pm view on Meta::CPAN
=head1 SYNOPSIS
my $pure = new API::PureStorage ($host, $api_token);
my $info = $pure->array_info();
my $percent = sprintf('%0.2f', (100 * $info->{total} / $info->{capacity}));
print "The array $host is currently $percent full\n";
print "\nVolumes on host $host:\n";
my $vol_info = $pure->volume_info();
for my $vol (sort { lc($a->{name}) cmp lc($b->{name}) } @$vol_info) {
lib/API/PureStorage.pm view on Meta::CPAN
* capacity - the total capacity of the array in bytes
* thin_provisioning - ?
NB: To calculate the percentage usage of whole array, divide total by capacity.
=head2 volume_info()
my @volume_info = $pure->volume_info();
my $volume_info_ref = $pure->volume_info();
lib/API/PureStorage.pm view on Meta::CPAN
* size - the max size of the volume
* thin_provisioning - ?
NB: To calculate the percentage usage of the volume, divide total by size.
=head2 volume_detail($volume_name)
my %volume_detail = $pure->volume_detail($volume_name);
my $volume_detail_ref = $pure->volume_detail($volume_name);
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applications/htmlroot/cgi-bin/admin/plugins.pl view on Meta::CPAN
my $Cenvironment = (defined $cgi->param('environment')) ? $cgi->param('environment') : 'L';
my $Carguments = (defined $cgi->param('arguments')) ? $cgi->param('arguments') : '';
my $CargumentsOndemand = (defined $cgi->param('argumentsOndemand')) ? $cgi->param('argumentsOndemand') : '';
my $Ctitle = (defined $cgi->param('title')) ? $cgi->param('title') : '';
my $Ctrendline = (defined $cgi->param('trendline')) ? $cgi->param('trendline') : 0;
my $Cpercentage = (defined $cgi->param('percentage')) ? $cgi->param('percentage') : 25;
my $Ctolerance = (defined $cgi->param('tolerance')) ? $cgi->param('tolerance') : 5;
my $Cstep = (defined $cgi->param('step')) ? $cgi->param('step') : 0;
my $Condemand = (defined $cgi->param('ondemand')) ? $cgi->param('ondemand') : 'off';
my $Cproduction = (defined $cgi->param('production')) ? $cgi->param('production') : 'off';
my @Cpagedir = $cgi->param('pagedirs');
applications/htmlroot/cgi-bin/admin/plugins.pl view on Meta::CPAN
# User Session and Access Control
my ($sessionID, $iconAdd, $iconDelete, $iconDetails, $iconEdit, $iconQuery, $iconTable, $errorUserAccessControl, undef, undef, undef, undef, undef, undef, undef, undef, undef, undef, undef, $subTitle) = user_session_and_access_control (1, 'admin', $c...
# Serialize the URL Access Parameters into a string
my $urlAccessParameters = "pagedir=$pagedir&pageset=$pageset&debug=$debug&CGISESSID=$sessionID&pageNo=$pageNo&pageOffset=$pageOffset&filter=$filter&orderBy=$orderBy&action=$action&catalogID=$CcatalogID&catalogIDreload=$CcatalogIDreload&uKey=$CuKey&te...
# Debug information
print "<pre>pagedir : $pagedir<br>pageset : $pageset<br>debug : $debug<br>CGISESSID : $sessionID<br>page no : $pageNo<br>page offset : $pageOffset<br>filter : $filter<br>order by ...
if ( defined $sessionID and ! defined $errorUserAccessControl ) {
if ( $ChelpPluginFilename eq '' or $ChelpPluginFilename eq '<NIHIL>' ) {
$ChelpPluginFilename = ( $ChelpPluginTextname eq '' ? '<NIHIL>' : $ChelpPluginTextname );
$ChelpPluginTextname = '';
applications/htmlroot/cgi-bin/admin/plugins.pl view on Meta::CPAN
} else {
$htmlTitle = "Plugin $CuKey inserted from $CcatalogID";
my $dummyOndemand = ($Condemand eq 'on') ? 1 : 0;
my $dummyProduction = ($Cproduction eq 'on') ? 1 : 0;
my $dummyActivated = ($Cactivated eq 'on') ? 1 : 0;
$sql = 'INSERT INTO ' .$SERVERTABLPLUGINS. ' SET catalogID="' .$CcatalogID. '", uKey="' .$CuKey. '", test="' .$Ctest. '", environment="' .$Cenvironment. '", arguments="' .$Carguments. '", argumentsOndemand="' .$CargumentsOndemand. '", title="...
$dbh->do ( $sql ) or $rv = error_trap_DBI(*STDOUT, "Cannot dbh->do: $sql", $debug, $pagedir, $pageset, $htmlTitle, $subTitle, 3600, '', $sessionID);
$nextAction = "listView" if ($rv);
}
} elsif ($action eq 'deleteView') {
$formDisabledUniqueKey = $formDisabledAll = 'disabled';
applications/htmlroot/cgi-bin/admin/plugins.pl view on Meta::CPAN
} elsif ($action eq 'edit') {
$htmlTitle = "Plugin $CuKey updated from $CcatalogID";
my $dummyOndemand = ($Condemand eq 'on') ? 1 : 0;
my $dummyProduction = ($Cproduction eq 'on') ? 1 : 0;
my $dummyActivated = ($Cactivated eq 'on') ? 1 : 0;
$sql = 'UPDATE ' .$SERVERTABLPLUGINS. ' SET catalogID="' .$CcatalogID. '", uKey="' .$CuKey. '", test="' .$Ctest. '", environment="' .$Cenvironment. '", arguments="' .$Carguments. '", argumentsOndemand="' .$CargumentsOndemand. '", title="' .$Cti...
$dbh->do ( $sql ) or $rv = error_trap_DBI(*STDOUT, "Cannot dbh->do: $sql", $debug, $pagedir, $pageset, $htmlTitle, $subTitle, 3600, '', $sessionID);
$nextAction = "listView" if ($rv);
} elsif ($action eq 'listView') {
my $doFilter = ( ( defined $filter and $filter ne '' ) ? 1 : 0 );
$htmlTitle = ( $doFilter ) ? "All plugins matching filter: $filter" : "All plugins listed";
applications/htmlroot/cgi-bin/admin/plugins.pl view on Meta::CPAN
$header .= "<th><a href=\"$urlWithAccessParameters&action=listView&orderBy=production desc\"><IMG SRC=\"$IMAGESURL/$ICONSRECORD{up}\" ALT=\"Up\" BORDER=0></a> Production <a href=\"$urlWithAccessParameters&action=listView&orderBy...
($rv, $matchingPlugins, $nextAction) = record_navigation_table ($rv, $dbh, $sql, 'Plugin', 'catalogID|uKey', '0|1', '', '', "&catalogID=$CcatalogID&filter=$filter", $orderBy, $header, $navigationBar, $iconAdd, $iconDelete, $iconDetails,...
}
if ($action eq 'deleteView' or $action eq 'displayView' or $action eq 'duplicateView' or $action eq 'editView') {
$sql = "select catalogID, uKey, test, environment, arguments, argumentsOndemand, title, shortDescription, trendline, percentage, tolerance, step, ondemand, production, pagedir, resultsdir, helpPluginFilename, holidayBundleID, activated from $SE...
$sth = $dbh->prepare( $sql ) or $rv = error_trap_DBI(*STDOUT, "Cannot dbh->prepare: $sql", $debug, $pagedir, $pageset, $htmlTitle, $subTitle, 3600, '', $sessionID);
$sth->execute() or $rv = error_trap_DBI(*STDOUT, "Cannot sth->execute: $sql", $debug, $pagedir, $pageset, $htmlTitle, $subTitle, 3600, '', $sessionID) if $rv;
if ( $rv ) {
($CcatalogID, $CuKey, $Ctest, $Cenvironment, $Carguments, $CargumentsOndemand, $Ctitle, $CshortDescription, $Ctrendline, $Cpercentage, $Ctolerance, $Cstep, $Condemand, $Cproduction, $Cpagedir, $Cresultsdir, $ChelpPluginFilename, $CholidayBund...
$CcatalogID = $CATALOGID if ($action eq 'duplicateView');
$Condemand = ($Condemand == 1) ? 'on' : 'off';
$Cproduction = ($Cproduction == 1) ? 'on' : 'off';
$Cactivated = ($Cactivated == 1) ? 'on' : 'off';
$sth->finish() or $rv = error_trap_DBI(*STDOUT, "Cannot sth->finish: $sql", $debug, $pagedir, $pageset, $htmlTitle, $subTitle, 3600, '', $sessionID);
applications/htmlroot/cgi-bin/admin/plugins.pl view on Meta::CPAN
document.plugins.trendline.focus();
alert('Please enter a trendline!');
return false;
}
if ( document.plugins.percentage.value == null || document.plugins.percentage.value == '' ) {
document.plugins.percentage.focus();
alert('Please enter a percentage!');
return false;
}
if ( document.plugins.tolerance.value == null || document.plugins.tolerance.value == '' ) {
document.plugins.tolerance.focus();
applications/htmlroot/cgi-bin/admin/plugins.pl view on Meta::CPAN
<tr><td>On Demand Arguments: </td><td>
<input type="text" name="argumentsOndemand" value="$CargumentsOndemand" size="100" maxlength="1024" $formDisabledAll>
<tr><td><b>Trendline: </b></td><td>
<input type="text" name="trendline" value="$Ctrendline" size="6" maxlength="6" $formDisabledAll>
<tr><td><b>Percentage: </b></td><td>
<input type="text" name="percentage" value="$Cpercentage" size="2" maxlength="2" $formDisabledAll> Proposal = MAX ( week ( hour ( AVG ( Duration ), 9-17 ), 1-5 ) ) * 1.percentage
<tr><td><b>Tolerance: </b></td><td>
<input type="text" name="tolerance" value="$Ctolerance" size="2" maxlength="2" $formDisabledAll> Proposal * 0.tolerance < Trendline < Proposal * 1.tolerance where Tolerance=0 means FIXED Trendline
<tr><td><b>Step: </b></td><td>
<input type="text" name="step" value="$Cstep" size="6" maxlength="6" $formDisabledAll>
<tr><td><b>Run On Demand: </b></td><td>
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xt/01_overhead.t view on Meta::CPAN
use Test::More;
use Benchmark qw/ timeit timestr /;
my $sampler = {
none => sub { 0 },
"50_percent" => sub { rand() < 0.5 },
"1_percent" => sub { rand() < 0.01 },
all => sub { 1 },
};
for my $auto_flush ( 0, 1 ) {
AWS::XRay->auto_flush($auto_flush);
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share/AXLSoap.xsd view on Meta::CPAN
<xsd:element name="callingname" type="xsd:string" nillable="false" minOccurs="0"/><!--This field is of the type axl:XPresentationBit in AXLEnums.xsd-->
<xsd:element name="callingLineIdPresentation" type="xsd:string" nillable="false" minOccurs="0"/><!--This field is of the type axl:XPresentationBit in AXLEnums.xsd-->
<xsd:element name="prefixDN" type="axlapi:String50" minOccurs="0"/>
<xsd:element name="callerName" type="axlapi:String50" nillable="false" minOccurs="0">
<xsd:annotation>
<xsd:documentation>Characters which are not valid for caller name are ampersand, braces, less than or greater than, percentage sign, double quotes, square brackets and pipe.</xsd:documentation>
</xsd:annotation>
</xsd:element>
<xsd:element name="callerIdDN" type="axlapi:String50" minOccurs="0"/>
<xsd:element name="acceptInboundRDNIS" type="xsd:boolean" minOccurs="0"/>
<xsd:element name="acceptOutboundRDNIS" type="xsd:boolean" nillable="false" minOccurs="0"/>
share/AXLSoap.xsd view on Meta::CPAN
<xsd:element name="callingname" type="xsd:string" nillable="false" minOccurs="0"/><!--This field is of the type axl:XPresentationBit in AXLEnums.xsd-->
<xsd:element name="callingLineIdPresentation" type="xsd:string" nillable="false" minOccurs="0"/><!--This field is of the type axl:XPresentationBit in AXLEnums.xsd-->
<xsd:element name="prefixDN" type="axlapi:String50" minOccurs="0"/>
<xsd:element name="callerName" type="axlapi:String50" nillable="false" minOccurs="0">
<xsd:annotation>
<xsd:documentation>Characters which are not valid for caller name are ampersand, braces, less than or greater than, percentage sign, double quotes, square brackets and pipe.</xsd:documentation>
</xsd:annotation>
</xsd:element>
<xsd:element name="callerIdDN" type="axlapi:String50" minOccurs="0"/>
<xsd:element name="acceptInboundRDNIS" type="xsd:boolean" nillable="false" minOccurs="0"/>
<xsd:element name="acceptOutboundRDNIS" type="xsd:boolean" nillable="false" minOccurs="0"/>
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fortune/jackbauer view on Meta::CPAN
%
Every morning, Jack Bauer stares at a basket of kittens and electrocutes himself if he thinks of petting one.
%
Jack Bauer saved the day. Twice. In one day.
%
Since 2001, the year 24 premiered, terrorist deaths have increased 13,000 percent.
%
If Jack Bauer has sex with you, you won't stand straight for a week.
%
Jack Bauer's penis was the inspiration for the Washington Monument.
%
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0.022 2015-06-27 21:59:02Z
- welcome ZDM, our latest member!
0.021 2015-01-31 20:51:01Z
- goodbye ZOUL, KIBI; you seem to want to be human now
- change the max-width of the container div to be a percentage
rather than absolute pixel count, improving formatting on wide
displays
0.020 2014-10-14 00:47:35Z
- welcome our newest members, CKRAS, EAST and EUGENEK!
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lib/Acme/CPANModules_ScenarioR/CalculatingDayOfWeek.pm view on Meta::CPAN
## no critic
package Acme::CPANModules_ScenarioR::CalculatingDayOfWeek;
our $VERSION = 0.002; # VERSION
our $results = [[200,"OK",[{_name=>"participant=DateTime",_succinct_name=>"D",errors=>3.8e-08,participant=>"DateTime",pct_faster_vs_slowest=>0,pct_slower_vs_fastest=>80.570996978852,rate=>37000,samples=>24,time=>27},{_name=>"participant=Date::DayOfWe...
1;
# ABSTRACT: List of modules to calculate day of week
=head1 DESCRIPTION
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lib/Acme/CPANModules_ScenarioR/HTMLTable.pm view on Meta::CPAN
## no critic
package Acme::CPANModules_ScenarioR::HTMLTable;
our $VERSION = 0.002; # VERSION
our $results = do{my$var=[[200,"OK",[{_name=>"participant=Text::Table::Manifold",_succinct_name=>"TT:M",errors=>4.9e-05,participant=>"Text::Table::Manifold",pct_faster_vs_slowest=>0,pct_slower_vs_fastest=>6.36903376018626,rate=>15.8,samples=>21,time=...
1;
# ABSTRACT: List of modules that generate HTML tables
=head1 DESCRIPTION
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lib/Acme/CPANModules_ScenarioR/OrderedHash.pm view on Meta::CPAN
## no critic
package Acme::CPANModules_ScenarioR::OrderedHash;
our $VERSION = 0.004; # VERSION
our $results = do{my$var=[[200,"OK",[{_name=>"participant=Tie::StoredOrderHash",_succinct_name=>"T:S",errors=>1.4e-06,participant=>"Tie::StoredOrderHash",pct_faster_vs_slowest=>0,pct_slower_vs_fastest=>5.16666666666667,rate=>539,samples=>22,time=>1.8...
1;
# ABSTRACT: List of modules that provide ordered hash data type
=head1 DESCRIPTION
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lib/Acme/CPANModules_ScenarioR/TextTable.pm view on Meta::CPAN
## no critic
package Acme::CPANModules_ScenarioR::TextTable;
our $VERSION = 0.016; # VERSION
our $results = do{my$var=[[200,"OK",[{_name=>"participant=Text::UnicodeBox::Table",_succinct_name=>"Text::UnicodeBox::Table",errors=>0.0024,participant=>"Text::UnicodeBox::Table",pct_faster_vs_slowest=>0,pct_slower_vs_fastest=>365.666666666667,rate=>...
1;
# ABSTRACT: List of modules that generate text tables
=head1 DESCRIPTION
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lib/Acme/CPANModules_ScenarioR/UUID.pm view on Meta::CPAN
## no critic
package Acme::CPANModules_ScenarioR::UUID;
our $VERSION = 0.011; # VERSION
our $results = [[200,"OK",[{_name=>"participant=UUID::Random::Secure::generate",_succinct_name=>"URS:g",errors=>0.0013,participant=>"UUID::Random::Secure::generate",pct_faster_vs_slowest=>0,pct_slower_vs_fastest=>36.5,rate=>30,samples=>22,time=>30},{...
1;
# ABSTRACT: List of modules that can generate immutable universally unique identifier (UUIDs)
=head1 DESCRIPTION
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devdata/https_mojolicious.io_blog_2018_12_21_a-little-christmas-template-cooking_ view on Meta::CPAN
Time: <%= $now->hms %>
</div>
EOF
</code></pre>
<p>The lines with leading percent sings are Perl code. One of those lines loads a module, <a href="https://metacpan.org/pod/Time::Piece">Time::Piece</a>, and the other creates the variable <code>$now</code>. The <code><%= %></code> insert value...
<p>You can invert that so that the source of the values comes from outside of the template. Sometimes this is preferable to having too much logic in the presentation layer:</p>
<pre><code>use v5.26;
use Mojo::Template;
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