Priest Dustin:
The necklace is completely purified and safe. Please deliver it to
Mr. Galladucci at the boutique shop
.
I pray that tranquility and happiness will follow you always.


Before Change
props = skimage.measure.regionprops(labels, pixel_data)
per_label = [self.run_mahotas(prop, scale, n_directions) for prop in props]
features = dask.compute(per_label, scheduler="threads")
features = numpy.array(features)[0].transpose(1,2,0)
for direction, direction_features in enumerate(features):
for feature_name, feature in zip(F_HARALICK, direction_features):
statistics += self.record_measurement(
After Change
features = numpy.empty((n_directions, 13, len(unique_labels)))
for index, prop in enumerate(props):
label_data = prop["intensity_image"]
try:
features[:, :, index] = mahotas.features.haralick(
label_data, distance=scale, ignore_zeros=True
)
except ValueError:
features[:, :, index] = numpy.nan
for direction, direction_features in enumerate(features):
for feature_name, feature in zip(F_HARALICK, direction_features):
statistics += self.record_measurement(
image=image_name,


| Author: | PyBlosxom Development Team |
|---|---|
| Version: | plugins.txt 1029 2007-06-07 02:33:12Z willhelm |
| Copyright: | This document is distributed under the MIT license. |
Contents
PyBlosxom allows you to extend and augment its base functionality using PyBlosxom plugins. Plugins allow you to create additional variables; provide additional entry parsers, renderers, post-formatters, and pre-formatters; create new output data types; pull information from other non-blog sources; create images; and a variety of other things.
There are two properties in your config.py file that affect the behavior for loading plugins.
The first one is the plugin_dirs property which is a list of strings specifying all the directories you might have plugins. For example:
py["plugin_dirs"] = ["/home/will/pybloxsom/plugins"]
This will cause PyBlosxom to look in this specific directory for plugins.
The other property is the load_plugins property. If you don't have this set at all (i.e. it's either not in the config.py file or the line is commented out), PyBlosxom will load all plugins it finds in the plugin directories you've specified. It will look in each directory in order as you've specified. It will load the plugins in each directory in alphabetical order by filename.
The other way to load plugins is by specifying the plugins explicitly by setting the load_plugins property. PyBlosxom will load only the plugins you've specified and will load them in the order you've specified. The load_plugins property takes a list of strings. For example:
py["load_plugins"] = ["calendar", "category", "booklist"]
This will load the plugins whose filenames are calendar.py, category.py, and booklist.py. It will only load those plugins even if other plugins are in the directory and it will load them in that order.
You can find plugins in the PyBlosxom plugin registry.
Additionally, some people write plugins, but never register with the plugin registry. Sometimes this is because the author doesn't feel the plugin is finished for public consumption. Even so, it might meet your needs. The best way to find these plugins is to ask on the pyblosxom-users mailing list for a plugin that has the functionality you desire.
When you're installing a plugin, refer to its documentation. The documentation could be in a README file, but more commonly it's in the plugin code itself at the top of the file. This documentation should tell you how to install the plugin, what template variables the plugin exposes, how to invoke the plugin, how to get in touch with the author should you find bugs or need help, and any additional things you should know about.
Most plugins should have a pretty easy installation method. You should be able to copy the plugin into the directory defined in your config.py file in the plugin_dirs property. Then there might be some additional properties you'll have to set in your config.py file to define the plugin's behavior. That should be about it. On some occasions, you may have to change the code in the plugin itself to meet your specific needs.
Note
A note about Apache, no suexec, .pyc files, and permission problems:
If you're not running suexec, then Apache may not be able to generate the .pyc files for your plugins. This may result in your plugins failing to load.
If that happens, you should run ./pyblosxom.cgi in your shell to generate the .pyc files.
Every time you install a new plugin or change an existing plugin, you'll need to remove the existing .pyc files and regenerate them.
You may find that you desire functionality and there is no plugin that anyone knows about that performs that functionality. It's probably best at this point for you to ask someone to write the plugin you need or write it yourself.
PyBlosxom plugins are fairly easy to write and can cover a lot of really different functionality. The best way to learn how to write PyBlosxom plugins is to read through the plugins in the plugin registry. Many of them are well written and may provide insight as to how to solve your specific problem.
If you plan on writing your own plugin, refer to the manual file on writing PyBlosxom plugins.
Additionally, feel free to ask for help on the pyblosxom-users and pyblosxom-devel mailing lists.


| 12:00 1st Quarter |
|||
|---|---|---|---|
| LIGHT | DARK | ||
| 28 | Score | 24 | |
| 7 | Team Fouls | 4 | |
| 0 | Timeouts Left | 1 | |
| Last play: Light scored 2 Points |
| 12:00 1st Quarter |
|||
|---|---|---|---|
| LIGHT | DARK | ||
| 28 | Score | 24 | |
| 7 | Team Fouls | 4 | |
| 0 | Timeouts Left | 1 | |
| Last play: Light scored 2 Points |


| Design and Implementation of a validating XML parser in Haskell: Master's thesis; University of Applied Sciences Wedel | ||
|---|---|---|
| Prev | Appendix A. User handbook | Next |
Time and space profiling is very useful to optimize programs and remove bottlenecks. We already added the ability of profiling to the XML parser, but did not use this information yet. The main focus of the parser lays on a clear and easy design at the moment.
The validating XML parser can be analyzed with the time and space profiling system of the Glasgow Haskell Compiler (GHC). Cost centers have been added for all main computations, so that it could be measured which parts of the parser consume most time and memory.
The tool Profiling can be used to run these tests with the XML parser. It can be built by executing make Profiling in the root directory of the Haskell XML Toolbox.
Profiling must be executed with an XML file as test input and several different parameters that influence GHC's profiling behavior. These parameters are described in depth in the documentation of GHC.
Four predefined profiling types have been added to the Makefile in the root directory of the Haskell XML Toolbox. The input file of Profiling can be set by the variable PROFILING_INPUT.
Predefined profiling targets:
Time and allocation profiling - Generate profiling information in XML format and display them with the tool ghcprof of GHC.
Time and allocation profiling - Generate profiling information in text format and display them with less.
Heap profiling - Break down the graph by the cost-center stack which produced the data.
Heap profiling - Break down the graph by the retainer set.
This section will show how to interpret the results from the profiling tests. The W3C Recommendation of the Extensible Hypertext Markup Language (XHTML) and its Strict DTD was chosen as test input. The test machine was a Pentium 4 with 1.6 GHz and 256 MB memory, running Debian 3.0.
The results from time and space profiling show that most time and memory is consumed by the function procesDTD. This function provides substitution of parameter entities in the internal and external DTD part. The next resource intensive function is parseXmlDoc that does the parsing of an XML document and constructs an XmlTree representation from it.
total time = 1.26 secs (63 ticks @ 20 ms) total alloc = 102,664,004 bytes (excludes profiling overheads) COST CENTER MODULE %time %alloc processDTD HdomParser 27.0 45.6 parseXmlDoc HdomParser 19.0 29.3 buildAllValFcts DocValidation 14.3 5.0 validateAttributes DTDValidation 12.7 0.5 processGeneralEntities HdomParser 7.9 9.6 MAIN MAIN 6.3 5.0 buildAllTransFcts DocTransformation 4.8 1.8 IdVal.validateIds Validation 4.8 1.1 validateElements DTDValidation 3.2 0.2 getXmlContents HdomParser 0.0 1.1 |
The ranking of the cost centers might have changed dramatically if the profiling tests are performed with other documents. In this case, parameter entities are exhaustively used in the Strict DTD of XHTML. It is not astonishing that the function that handles their substitution takes the most time and space. Another important aspect is the ratio of the DTD subset and the document subset. If for example the DTD subset is very large, its processing functions might take a large percentage of time and space consumption, too.
Heap profiling produces graphs that show the memory consumption of the cost centers during execution time. These graphs show very clearly how the program execution behavior of Haskell programs differs from programs written in imperative languages. Haskell uses lazy evaluation when evaluating expressions. Arguments to functions are evaluated only when they are needed. Functions only calculate their result as much as it is needed by other functions that called them.
Lazy evaluation leads to the fact that Haskell programs do not have a strict sequential evaluation order, but that they resemble a stream. The graphs show very clearly this execution behavior. First the parsing functions are started, after producing enough output, processing of the DTD starts. In the end the validation process starts calculations. The graphs show that almost all functions work in parallel after they have enough input.


Welcome! Now that you have initialized your project, the best way to work with Great Expectations is in this iterative dev loop:
great_expectations suite new
.great_expectations suite edit
An expectation is a falsifiable, verifiable statement about data.
Expectations provide a language to talk about data characteristics and data quality - humans to humans, humans to machines and machines to machines.
Expectations are both data tests and docs!
{
"expectation_type": "expect_column_values_to_not_be_null",
"kwargs": {
"column": "user_id"
}
}
A machine can test if a dataset conforms to the expectation.
{
"success": false,
"result": {
"element_count": 253405,
"unexpected_count": 7602,
"unexpected_percent": 2.999
},
"expectation_config": {
"expectation_type": "expect_column_values_to_not_be_null",
"kwargs": {
"column": "user_id"
}
}
Here's an example Validation Result (not from your data) in JSON format. This object has rich context about the test failure.
This is an example of what a single failed Expectation looks like in Data Docs. Note the failure includes unexpected values from your data. This helps you debug pipelines faster.
Nearly 50 built in expectations allow you to express how you understand your data, and you can add custom expectations if you need a new one.
This sample suite shows you a few examples of expectations.
Note this is not a production suite and was generated using only a small sample of your data.
When you are ready, press the How to Edit button to kick off the iterative dev loop.
Data Docs autogenerated using Great Expectations.


Electronic installation sculpture already started to appear in the 60s. The 1968 Museum of Modern Art exhibition, The Machine as Seen at the End of the Mechanical Age , summed up an entire epoch and pointed towards the new electronic era ahead. The curator, Pontus Hulten, meant the exhibition to be a cultural response, to herald what he saw as the transitional movement from the machine-age culture of a manufacturing society based on machines as the 'muscle' of industry, to an electronic information society based on instant communication services.
The exhibition comprised artwork that either commented on technology, used the machine itself as iconography, made use of machines as valid working parts, or showed the machine aesthetic as part of style. The exhibition included recent electronic works by Nam June Paik and Robert Breer. Although the new electronic tools used by these artists were still in their infancy, the potential of incorporating video, computers, sound and light, was enormous. Artists were attracted to this new medium because of the conceptual and visual properties it offered. Not only did it offer unique capabilities for recording and transforming imagery, but artists could also combine video with other art forms thereby creating installation pieces.
An Electronic Laager Chapter 3, Video Art.
Nam June Paik. Magnet TV , 1965.
(Hannardt 1993: 70)
Radar dish
Satelite dish
Helipad
Helicopter
Farming machinery
Maizeplant
Light pylon
Billboard
TV tower
Radio tower
Storybord
Exhibition layout
Interface
Robot
More objects


|
Little Heroes
|
Play the specified tween on click. More...
Public Member Functions | |
| void | Play (bool forward) |
| Activate the tweeners. More... | |
Public Attributes | |
| GameObject | tweenTarget |
| Target on which there is one or more tween. More... | |
| int | tweenGroup = 0 |
| If there are multiple tweens, you can choose which ones get activated by changing their group. More... | |
| Trigger | trigger = Trigger.OnClick |
| Which event will trigger the tween. More... | |
| Direction | playDirection = Direction.Forward |
| Direction to tween in. More... | |
| bool | resetOnPlay = false |
| Whether the tween will be reset to the start or end when activated. More... | |
| bool | resetIfDisabled = false |
| Whether the tween will be reset to the start if it's disabled when activated. More... | |
| EnableCondition | ifDisabledOnPlay = EnableCondition.DoNothing |
| What to do if the tweenTarget game object is currently disabled. More... | |
| DisableCondition | disableWhenFinished = DisableCondition.DoNotDisable |
| What to do with the tweenTarget after the tween finishes. More... | |
| bool | includeChildren = false |
| Whether the tweens on the child game objects will be considered. More... | |
| List< EventDelegate > | onFinished = new List<EventDelegate>() |
| Event delegates called when the animation finishes. More... | |
Static Public Attributes | |
| static UIPlayTween | current |
Play the specified tween on click.
| void UIPlayTween.Play | ( | bool | forward | ) |
Activate the tweeners.
|
static |
| DisableCondition UIPlayTween.disableWhenFinished = DisableCondition.DoNotDisable |
What to do with the tweenTarget after the tween finishes.
| EnableCondition UIPlayTween.ifDisabledOnPlay = EnableCondition.DoNothing |
What to do if the tweenTarget game object is currently disabled.
| bool UIPlayTween.includeChildren = false |
Whether the tweens on the child game objects will be considered.
| List<EventDelegate> UIPlayTween.onFinished = new List<EventDelegate>() |
Event delegates called when the animation finishes.
| Direction UIPlayTween.playDirection = Direction.Forward |
Direction to tween in.
| bool UIPlayTween.resetIfDisabled = false |
Whether the tween will be reset to the start if it's disabled when activated.
| bool UIPlayTween.resetOnPlay = false |
Whether the tween will be reset to the start or end when activated.
If not, it will continue from where it currently is.
| Trigger UIPlayTween.trigger = Trigger.OnClick |
Which event will trigger the tween.
| int UIPlayTween.tweenGroup = 0 |
If there are multiple tweens, you can choose which ones get activated by changing their group.
| GameObject UIPlayTween.tweenTarget |
Target on which there is one or more tween.


return
finally
While occasionally intended, such return statements may mask exceptions thrown, and complicate debugging.