This is the first section of a prototyping tool that allows a person to leverage their knowledge of html and css, without needing extensive knowledge of javascript (or any at all) to create a mostly working prototype of a website or app. The goal is not to allow the complete creation of a working application (although it certainly could be done) but to provide a basis for production that can more easily be transitioned into actual development than most current offerings.
The problem with most current prototyping implementations is that they often take a good amount of design work that must all be completely redone once actual programming work is put forward. With HamProtoTight a working viable prototype can be provided to a development team and a lot of css and html will have already been created, greatly reducing the transition period between prototype and bootstrapping.
If you want the full experience, Add this page to your homescreen.
In iOS Safari, click the share button, scroll to the right, and choose "Add to Homescreen".
In Android Chrome, click the shishkabob menu, and choose "Add to Homescreen".
Open up the demo from your homescreen and enjoy it as if it was a for real reals app.
You'll need to be looking at the html, css, and javascript code for this demo to be understanding anything about what's going on beneath the hood, however.
ProtoTight uses sections to define different app "pages". Each section of a ProtoTight app has its own unique id, and so linking to any of them is as easy as making a jump link to it. These can be any type of element, as long as it has a data-role="jump" hook, and an href attribute that links to an #id.
The anchor below works using the jump, even though it looks like a button. Using your own styles will help you design things however you want them to look, but anything can have a .proto-jump added to it, even this phrase (click me).
Speaking of Pages, modern mobile browsers are really messing with us mobile developers. Apple is covering space left and right. Android is playing catchup with design problems that don't exist. One of these things is a direct assault on mobile web app developers. Both google Chrome and iOS Safari now treat vh values as something other than actual viewheight. How can you deal with it?
Well this demo deals with it in a couple ways. All of the data-role="page" elements have been given a position:fixed, and a height:100%. Normally height 100% doesn't work on elements that don't have a parent with height. But it turns out fixed position elements are pulled out of flow and now take on the percentage height of the literal view. This allows all the child elements to use percentages and they are the visible view.
On a secondary note, in order to stop the drag refreshing of pages, the overflow-y of the html,body is being set to hidden. Since the pages are all set to fixed and 100% anyways, having the html,body handled this way isn't a problem, and for some reason stop browser drag refreshing, which can be very annoying once an app has been added to home screen.
I tried a lot of options for dynamic interactive content that just started ballooning out of control. But I finally settled on the simple javascript of adding, removing, and toggling an "active" class on elements and allowing a designer to do whatever they want to do with that. Ultimately, this library is supposed to be as unobtrusive as possible, and this seems like the best solution. So how does one use this?
Using the activate functions is as easy as using the [data-activate] attribute. For instance:
This activates once
That's the core of the idea. This can be used all over your app, and simply have css do something to an element when the "active" class is present. You design the css, ProtoTight provides the classes. There are a number of options. [data-activate], [data-deactivate], and [data-toggle]. Each of these can be passed any selector to activate that element. There are also a couple of helper values available. "next", "prev", and "parent" will all activate relative elements.
This toggles on and off
This is nearly the same thing as a modal. This side drawer can be activated and deactivated in the exact same innumerable ways.
If you're a designer, you know that having to change 15 of the same thing is truly annoying. ProtoTight comes with a simple tool to duplicate html content on the page, in the form of text templates.
Create an element with an ID and some inner content that you want to only structure once. Then make an element somewhere on your document that references the same element with a data-template attribute. something like:

The jQuery data object gets passed into the template string when it's used, so you can make dynamic text/templates. Use custom data-attributes in the data-template element and it will be replaced into the text/template html.
Here, we have a template for what a user page looks like, and we can just add in data, to see what it looks like. On section 5, you'll see how custom code can be used to run a database through your templates, a designer can just as easily make hard coded data-template elements that utilize dynamic text/templates. Now you design this component once, and try different values in it on different pages.
Custom and dynamic code will need to make use of the "pageshow" event attached to the document. This event will allow any arbitrary code to be run whenever any page is loaded into view.
This list is being created from a json file being loaded into the document. ProtoTight is capable enough to work with custom code. Because it is unopinionated, it won't get in the way of your code, but it also only has limited tools to help you along.


Definition at line 116 of file visualizer.cc.
◆ my_time_vector()
| my_time_vector::my_time_vector |
( |
int |
ld_size, |
|
|
int |
st_size |
|
) |
| |
|
inline |
◆ calculate_dist()
| void my_time_vector::calculate_dist |
( |
| ) |
|
|
inline |
◆ calculate_ld_dist()
| void my_time_vector::calculate_ld_dist |
( |
void |
| ) |
|
|
inlineprivate |
◆ calculate_st_dist()
| void my_time_vector::calculate_st_dist |
( |
void |
| ) |
|
|
inlineprivate |
◆ check_ld_update()
| void my_time_vector::check_ld_update |
( |
unsigned int |
uid, |
|
|
unsigned int |
slot, |
|
|
long int |
latency |
|
) |
| |
|
inline |
◆ check_st_update()
| void my_time_vector::check_st_update |
( |
unsigned int |
uid, |
|
|
unsigned int |
slot, |
|
|
long int |
latency |
|
) |
| |
|
inline |
◆ clear_time_map_vectors()
| void my_time_vector::clear_time_map_vectors |
( |
void |
| ) |
|
|
inline |
◆ print_all_ld()
| void my_time_vector::print_all_ld |
( |
void |
| ) |
|
|
inline |
◆ print_all_st()
| void my_time_vector::print_all_st |
( |
void |
| ) |
|
|
inline |
◆ print_dist()
| void my_time_vector::print_dist |
( |
void |
| ) |
|
|
inline |
◆ print_to_file()
| void my_time_vector::print_to_file |
( |
FILE * |
outfile | ) |
|
|
inline |
◆ print_to_gzfile()
| void my_time_vector::print_to_gzfile |
( |
gzFile |
outfile | ) |
|
|
inline |
◆ update_ld()
| void my_time_vector::update_ld |
( |
unsigned int |
uid, |
|
|
unsigned int |
slot, |
|
|
long int |
time |
|
) |
| |
|
inline |
◆ update_st()
| void my_time_vector::update_st |
( |
unsigned int |
uid, |
|
|
unsigned int |
slot, |
|
|
long int |
time |
|
) |
| |
|
inline |
◆ ld_time_dist
| std::vector<double> my_time_vector::ld_time_dist |
|
private |
◆ ld_time_map
| std::map< unsigned int, std::vector<long int> > my_time_vector::ld_time_map |
|
private |
◆ ld_vector_size
| unsigned my_time_vector::ld_vector_size |
|
private |
◆ overal_ld_count
| int my_time_vector::overal_ld_count |
|
private |
◆ overal_ld_time_dist
| std::vector<double> my_time_vector::overal_ld_time_dist |
|
private |
◆ overal_st_count
| int my_time_vector::overal_st_count |
|
private |
◆ overal_st_time_dist
| std::vector<double> my_time_vector::overal_st_time_dist |
|
private |
◆ st_time_dist
| std::vector<double> my_time_vector::st_time_dist |
|
private |
◆ st_time_map
| std::map< unsigned int, std::vector<long int> > my_time_vector::st_time_map |
|
private |
◆ st_vector_size
| unsigned my_time_vector::st_vector_size |
|
private |
The documentation for this class was generated from the following file:


Github helps people manage software projects. SingularityHub helps people manage their consciousness and its offspring. Once you can upload your brain into a computer, you can copy it. You can change it. You can update it.
Your brain gets uploaded to our servers, and we track changes. If you fork (clone) it, and one of your copies learns something new, you can submit a pull request and one of you can accept it. Want to merge with someone? We got you covered.
As long as you are willing to share your brain with others, SingularityHub is and will always be free. And for the first 500 brains, private brain repositories are free (as in virtual beer) too!


include "head.html"
Shoot Out - Vendor Form
Golf Tournament - Golfer
Golf Tournament - Prize Sponsor
Golf Tournament - Hole Sponsor
Golf Tournament - Theme Sponsor
Holiday Party
include "foot.html"


teaching
Courses I've taught.
Spring 2021 HCD 6701 Research Methods for Human-Centered Design
This course presents the main ideas, techniques and differences in research methods used to conduct human-centered design, research and development. Students will learn to dessign, implement, and evaluate experiments that support hypothesis testing with human experimental participants. Students will design and implement an experiment during the course of the semester and present an evaluation of their project at the end of the term.
Spring 2021 HCD 6380 Creative and Design Thinking
This course introduces students to the theory and practice of design thinking for human-centered design of new products, processes, and organizations. Students will apply principles of design thinking to problems in different domains and learn which design thinking techniques should be applied for different types of problems in order to address the needs of the users being designed for. This is a ”hands-on” course where students will be generating numerous designs and evaluating not only the quality of those designs, but the effectiveness of the design process that generated them.
Fall 2020 HCD 5210 Introduction to Human-Centered Dessign
This course is designed to be the first course incoming students in the Human-Centered Design program take to understand the discipline in general. This class explores the processes and principles of the Human-Centered Design (HCD) approach to the development of efficient, useful, satisfying and safe interactions between people and automation. These interactions will enhance the effectiveness of human performance while reducing the cognitive load of the user during operation. Students use ideas and principles of HCD to complete a semester project.
Fall 2020 HCD 5802 Usability Engineering
This class explores the processes and principles of Usability Engineering to develop efficient, useful, satisfying and safe interactions between people and physical or digital systems. The course covers concepts of usability, testing and evaluation methods, use of evalu- ation results, and integration with human-centered design. It discusses sensorimotor models and measures, ergonomic guidelines and recommendations, human-centered learning retention, human error management, efficiency, pleasure, emotional aspects, stress, workload and acceptability.
Spring 2020 HCD 6380 Creative and Design Thinking
This course introduces students to the theory and practice of design thinking for human-centered design of new products, processes, and organizations. Students will apply principles of design thinking to problems in different domains and learn which design thinking techniques should be applied for different types of problems in order to address the needs of the users being designed for. This is a ”hands-on” course where students will be generating numerous designs and evaluating not only the quality of those designs, but the effectiveness of the design process that generated them.
Spring 2020 CYB5800 Information Visualization
This course introduces students to the process of developing visual information visualizations that assist users in reasoning about information, finding anomalies or patterns in data, and hypothesis creation or validation via data exploration. Additional focus this semester on developing persuasive graphics to convey information.
Fall 2019 CSE5400 Introduction to Human-Centered Design
This course is designed to be the first course incoming students in the Human-Centered Design program take to understand the discipline in general. This class explores the processes and principles of the Human-Centered Design (HCD) approach to the development of efficient, useful, satisfying and safe interactions between people and automation. These interactions will enhance the effectiveness of human performance while reducing the cognitive load of the user during operation.
Fall 2019 CSE5800 Deep Learning
This course surveys the broad area of deep learning and deep reinforcement learning. It introduces students to the process of developing and testing deep learning neural networks for use in classification, prediction, knowledge organization, and question answering. The course presents the theory and practice of deep learning networks by exploring both fundamental and current topics in deep learning research.
Spring 2019 CYB5675 Data Mining for Cyber Security
This course explores data mining and machine learning in cybersecurity environments. It includes a variety of data mining and machine learning algorithms and teaches students to use and assess their utility for cybersecurity tasks, such as the detection of signatures, anomalies, scans, and intrusions.
Spring 2019 CYB5800 Information Visualization
This course introduces students to the process of developing visual information visualizations that assist users in reasoning about information, finding anomalies or patterns in data, and hypothesis creation or validation via data exploration. Updated this semester to look at issues involving web-based front-end development for creating and working with ontologies.
Fall 2018 CSE5290 Introduction to Artificial Intelligence
This course provides students with theoretical knowledge and practical experience in knowledge representation, search and heuristics, reasoning with certainty and uncertainty, and learning techniques. Students conducted research projects covering many of these topics.
Spring 2018 CYB5800 Information Visualization
This course introduces students to the process of developing visual information visualizations that assist users in reasoning about information, finding anomalies or patterns in data, and hypothesis creation or validation via data exploration. Updated this semester to focus on performance-enhancing displays for users in highly-focused or safety-critical domains.
Fall 2017 CSE5310 Management and Processing of Big Data
This course provides students with theoretical knowledge and practical experience in data storage, management and retrieval for analysis or operations. Students will explore the transition from traditional data warehouse architectures to modern big-data architectures that robustly handle data variety, volumes and velocities.
Spring 2017 CYB5800 Information Visualization
This course introduces students to the process of developing visual information visualizations that assist users in reasoning about information, finding anomalies or patterns in data, and hypothesis creation or validation via data exploration. The course presents the theory and practice of information visualization by exploring both fundamental and current topics in information visualization, including data and process abstraction, design techniques to emphasize salient information characteristics, how perception informs visualization design, and how effective visualizations can be used to improve operator performance in a number of tasks. Students will work with real-world data and will use state-of-the-art programming frameworks to create visualizations directed to solve specific user problems and answer specific user questions.
Fall 2016 CYB5675 Data Mining for Cyber Security
This course explores data mining and machine learning in cybersecurity environments. It includes a variety of data mining and machine learning algorithms and teaches students to use and assess their utility for cybersecurity tasks, such as the detection of signatures, anomalies, scans, and intrusions.
Spring 2016 CYB5800 Network Security Reasoning
This course covers the use of knowledge representations for network operations and cybersecurity. Students will learn to use formal ontologies, markup languages, and specialized knowledge representations to reason about network security events. Additional topics to be covered include construction of normal and threat behavior models.
Fall 2014 CYB5675 Data Mining for Cybersecurity
This course explores data mining and machine learning in cybersecurity environments. It includes a variety of data mining and machine learning algorithms and teaches students to use and assess their utility for cybersecurity tasks, such as the detection of signatures, anomalies, scans, and intrusions.


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Class RecognitionConfig (2.0.0)
public final class RecognitionConfig extends GeneratedMessageV3 implements RecognitionConfigOrBuilder
Provides information to the recognizer that specifies how to process the
request.
Protobuf type google.cloud.speech.v1.RecognitionConfig
Static Fields
AUDIO_CHANNEL_COUNT_FIELD_NUMBER
public static final int AUDIO_CHANNEL_COUNT_FIELD_NUMBER
Field Value
DIARIZATION_CONFIG_FIELD_NUMBER
public static final int DIARIZATION_CONFIG_FIELD_NUMBER
Field Value
ENABLE_AUTOMATIC_PUNCTUATION_FIELD_NUMBER
public static final int ENABLE_AUTOMATIC_PUNCTUATION_FIELD_NUMBER
Field Value
ENABLE_SEPARATE_RECOGNITION_PER_CHANNEL_FIELD_NUMBER
public static final int ENABLE_SEPARATE_RECOGNITION_PER_CHANNEL_FIELD_NUMBER
Field Value
ENABLE_WORD_TIME_OFFSETS_FIELD_NUMBER
public static final int ENABLE_WORD_TIME_OFFSETS_FIELD_NUMBER
Field Value
ENCODING_FIELD_NUMBER
public static final int ENCODING_FIELD_NUMBER
Field Value
LANGUAGE_CODE_FIELD_NUMBER
public static final int LANGUAGE_CODE_FIELD_NUMBER
Field Value
MAX_ALTERNATIVES_FIELD_NUMBER
public static final int MAX_ALTERNATIVES_FIELD_NUMBER
Field Value
public static final int METADATA_FIELD_NUMBER
Field Value
MODEL_FIELD_NUMBER
public static final int MODEL_FIELD_NUMBER
Field Value
PROFANITY_FILTER_FIELD_NUMBER
public static final int PROFANITY_FILTER_FIELD_NUMBER
Field Value
SAMPLE_RATE_HERTZ_FIELD_NUMBER
public static final int SAMPLE_RATE_HERTZ_FIELD_NUMBER
Field Value
SPEECH_CONTEXTS_FIELD_NUMBER
public static final int SPEECH_CONTEXTS_FIELD_NUMBER
Field Value
USE_ENHANCED_FIELD_NUMBER
public static final int USE_ENHANCED_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static RecognitionConfig getDefaultInstance()
Returns
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
newBuilder()
public static RecognitionConfig.Builder newBuilder()
Returns
newBuilder(RecognitionConfig prototype)
public static RecognitionConfig.Builder newBuilder(RecognitionConfig prototype)
Parameter
Returns
public static RecognitionConfig parseDelimitedFrom(InputStream input)
Parameter
Returns
Exceptions
public static RecognitionConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(byte[] data)
public static RecognitionConfig parseFrom(byte[] data)
Parameter
| Name |
Description |
| data |
byte[]
|
Returns
Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static RecognitionConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(ByteString data)
public static RecognitionConfig parseFrom(ByteString data)
Parameter
Returns
Exceptions
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static RecognitionConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
public static RecognitionConfig parseFrom(CodedInputStream input)
Parameter
Returns
Exceptions
public static RecognitionConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
public static RecognitionConfig parseFrom(InputStream input)
Parameter
Returns
Exceptions
public static RecognitionConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(ByteBuffer data)
public static RecognitionConfig parseFrom(ByteBuffer data)
Parameter
Returns
Exceptions
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static RecognitionConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parser()
public static Parser<RecognitionConfig> parser()
Returns
Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter
Returns
Overrides
getAudioChannelCount()
public int getAudioChannelCount()
The number of channels in the input audio data.
ONLY set this for MULTI-CHANNEL recognition.
Valid values for LINEAR16 and FLAC are 1
-8
.
Valid values for OGG_OPUS are '1'-'254'.
Valid value for MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only 1
.
If 0
or omitted, defaults to one channel (mono).
Note: We only recognize the first channel by default.
To perform independent recognition on each channel set
enable_separate_recognition_per_channel
to 'true'.
int32 audio_channel_count = 7;
Returns
| Type |
Description |
| int |
The audioChannelCount.
|
getDefaultInstanceForType()
public RecognitionConfig getDefaultInstanceForType()
Returns
getDiarizationConfig()
public SpeakerDiarizationConfig getDiarizationConfig()
Config to enable speaker diarization and set additional
parameters to make diarization better suited for your application.
Note: When this is enabled, we send all the words from the beginning of the
audio for the top alternative in every consecutive STREAMING responses.
This is done in order to improve our speaker tags as our models learn to
identify the speakers in the conversation over time.
For non-streaming requests, the diarization results will be provided only
in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1.SpeakerDiarizationConfig diarization_config = 19;
Returns
getDiarizationConfigOrBuilder()
public SpeakerDiarizationConfigOrBuilder getDiarizationConfigOrBuilder()
Config to enable speaker diarization and set additional
parameters to make diarization better suited for your application.
Note: When this is enabled, we send all the words from the beginning of the
audio for the top alternative in every consecutive STREAMING responses.
This is done in order to improve our speaker tags as our models learn to
identify the speakers in the conversation over time.
For non-streaming requests, the diarization results will be provided only
in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1.SpeakerDiarizationConfig diarization_config = 19;
Returns
getEnableAutomaticPunctuation()
public boolean getEnableAutomaticPunctuation()
If 'true', adds punctuation to recognition result hypotheses.
This feature is only available in select languages. Setting this for
requests in other languages has no effect at all.
The default 'false' value does not add punctuation to result hypotheses.
bool enable_automatic_punctuation = 11;
Returns
| Type |
Description |
| boolean |
The enableAutomaticPunctuation.
|
getEnableSeparateRecognitionPerChannel()
public boolean getEnableSeparateRecognitionPerChannel()
This needs to be set to true
explicitly and audio_channel_count
> 1
to get each channel recognized separately. The recognition result will
contain a channel_tag
field to state which channel that result belongs
to. If this is not true, we will only recognize the first channel. The
request is billed cumulatively for all channels recognized:
audio_channel_count
multiplied by the length of the audio.
bool enable_separate_recognition_per_channel = 12;
Returns
| Type |
Description |
| boolean |
The enableSeparateRecognitionPerChannel.
|
getEnableWordTimeOffsets()
public boolean getEnableWordTimeOffsets()
If true
, the top result includes a list of words and
the start and end time offsets (timestamps) for those words. If
false
, no word-level time offset information is returned. The default is
false
.
bool enable_word_time_offsets = 8;
Returns
| Type |
Description |
| boolean |
The enableWordTimeOffsets.
|
getEncoding()
public RecognitionConfig.AudioEncoding getEncoding()
Encoding of audio data sent in all RecognitionAudio
messages.
This field is optional for FLAC
and WAV
audio files and required
for all other audio formats. For details, see AudioEncoding.
.google.cloud.speech.v1.RecognitionConfig.AudioEncoding encoding = 1;
Returns
getEncodingValue()
public int getEncodingValue()
Encoding of audio data sent in all RecognitionAudio
messages.
This field is optional for FLAC
and WAV
audio files and required
for all other audio formats. For details, see AudioEncoding.
.google.cloud.speech.v1.RecognitionConfig.AudioEncoding encoding = 1;
Returns
| Type |
Description |
| int |
The enum numeric value on the wire for encoding.
|
getLanguageCode()
public String getLanguageCode()
Required. The language of the supplied audio as a
BCP-47 language tag.
Example: "en-US".
See Language
Support for a list
of the currently supported language codes.
string language_code = 3 [(.google.api.field_behavior) = REQUIRED];
Returns
| Type |
Description |
| String |
The languageCode.
|
getLanguageCodeBytes()
public ByteString getLanguageCodeBytes()
Required. The language of the supplied audio as a
BCP-47 language tag.
Example: "en-US".
See Language
Support for a list
of the currently supported language codes.
string language_code = 3 [(.google.api.field_behavior) = REQUIRED];
Returns
| Type |
Description |
| ByteString |
The bytes for languageCode.
|
getMaxAlternatives()
public int getMaxAlternatives()
Maximum number of recognition hypotheses to be returned.
Specifically, the maximum number of SpeechRecognitionAlternative
messages
within each SpeechRecognitionResult
.
The server may return fewer than max_alternatives
.
Valid values are 0
-30
. A value of 0
or 1
will return a maximum of
one. If omitted, will return a maximum of one.
int32 max_alternatives = 4;
Returns
| Type |
Description |
| int |
The maxAlternatives.
|
public RecognitionMetadata getMetadata()
Metadata regarding this request.
.google.cloud.speech.v1.RecognitionMetadata metadata = 9;
Returns
public RecognitionMetadataOrBuilder getMetadataOrBuilder()
Metadata regarding this request.
.google.cloud.speech.v1.RecognitionMetadata metadata = 9;
Returns
getModel()
Which model to select for the given request. Select the model
best suited to your domain to get best results. If a model is not
explicitly specified, then we auto-select a model based on the parameters
in the RecognitionConfig.

Model
Description

command_and_search
Best for short queries such as voice commands or voice search.

phone_call
Best for audio that originated from a phone call (typically
recorded at an 8khz sampling rate).

video
Best for audio that originated from video or includes multiple
speakers. Ideally the audio is recorded at a 16khz or greater
sampling rate. This is a premium model that costs more than the
standard rate.

default
Best for audio that is not one of the specific audio models.
For example, long-form audio. Ideally the audio is high-fidelity,
recorded at a 16khz or greater sampling rate.

string model = 13;
Returns
| Type |
Description |
| String |
The model.
|
getModelBytes()
public ByteString getModelBytes()
Which model to select for the given request. Select the model
best suited to your domain to get best results. If a model is not
explicitly specified, then we auto-select a model based on the parameters
in the RecognitionConfig.

Model
Description

command_and_search
Best for short queries such as voice commands or voice search.

phone_call
Best for audio that originated from a phone call (typically
recorded at an 8khz sampling rate).

video
Best for audio that originated from video or includes multiple
speakers. Ideally the audio is recorded at a 16khz or greater
sampling rate. This is a premium model that costs more than the
standard rate.

default
Best for audio that is not one of the specific audio models.
For example, long-form audio. Ideally the audio is high-fidelity,
recorded at a 16khz or greater sampling rate.

string model = 13;
Returns
getParserForType()
public Parser<RecognitionConfig> getParserForType()
Returns
Overrides
getProfanityFilter()
public boolean getProfanityFilter()
If set to true
, the server will attempt to filter out
profanities, replacing all but the initial character in each filtered word
with asterisks, e.g. "f***". If set to false
or omitted, profanities
won't be filtered out.
bool profanity_filter = 5;
Returns
| Type |
Description |
| boolean |
The profanityFilter.
|
getSampleRateHertz()
public int getSampleRateHertz()
Sample rate in Hertz of the audio data sent in all
RecognitionAudio
messages. Valid values are: 8000-48000.
16000 is optimal. For best results, set the sampling rate of the audio
source to 16000 Hz. If that's not possible, use the native sample rate of
the audio source (instead of re-sampling).
This field is optional for FLAC and WAV audio files, but is
required for all other audio formats. For details, see AudioEncoding.
int32 sample_rate_hertz = 2;
Returns
| Type |
Description |
| int |
The sampleRateHertz.
|
getSerializedSize()
public int getSerializedSize()
Returns
Overrides
getSpeechContexts(int index)
public SpeechContext getSpeechContexts(int index)
Array of SpeechContext.
A means to provide context to assist the speech recognition. For more
information, see
speech
adaptation.
repeated .google.cloud.speech.v1.SpeechContext speech_contexts = 6;
Parameter
| Name |
Description |
| index |
int
|
Returns
getSpeechContextsCount()
public int getSpeechContextsCount()
Array of SpeechContext.
A means to provide context to assist the speech recognition. For more
information, see
speech
adaptation.
repeated .google.cloud.speech.v1.SpeechContext speech_contexts = 6;
Returns
getSpeechContextsList()
public List<SpeechContext> getSpeechContextsList()
Array of SpeechContext.
A means to provide context to assist the speech recognition. For more
information, see
speech
adaptation.
repeated .google.cloud.speech.v1.SpeechContext speech_contexts = 6;
Returns
getSpeechContextsOrBuilder(int index)
public SpeechContextOrBuilder getSpeechContextsOrBuilder(int index)
Array of SpeechContext.
A means to provide context to assist the speech recognition. For more
information, see
speech
adaptation.
repeated .google.cloud.speech.v1.SpeechContext speech_contexts = 6;
Parameter
| Name |
Description |
| index |
int
|
Returns
getSpeechContextsOrBuilderList()
public List<? extends SpeechContextOrBuilder> getSpeechContextsOrBuilderList()
Array of SpeechContext.
A means to provide context to assist the speech recognition. For more
information, see
speech
adaptation.
repeated .google.cloud.speech.v1.SpeechContext speech_contexts = 6;
Returns
| Type |
Description |
| List<? extends com.google.cloud.speech.v1.SpeechContextOrBuilder> |
|
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Returns
Overrides
getUseEnhanced()
public boolean getUseEnhanced()
Set to true to use an enhanced model for speech recognition.
If use_enhanced
is set to true and the model
field is not set, then
an appropriate enhanced model is chosen if an enhanced model exists for
the audio.
If use_enhanced
is true and an enhanced version of the specified model
does not exist, then the speech is recognized using the standard version
of the specified model.
bool use_enhanced = 14;
Returns
| Type |
Description |
| boolean |
The useEnhanced.
|
hasDiarizationConfig()
public boolean hasDiarizationConfig()
Config to enable speaker diarization and set additional
parameters to make diarization better suited for your application.
Note: When this is enabled, we send all the words from the beginning of the
audio for the top alternative in every consecutive STREAMING responses.
This is done in order to improve our speaker tags as our models learn to
identify the speakers in the conversation over time.
For non-streaming requests, the diarization results will be provided only
in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1.SpeakerDiarizationConfig diarization_config = 19;
Returns
| Type |
Description |
| boolean |
Whether the diarizationConfig field is set.
|
public boolean hasMetadata()
Metadata regarding this request.
.google.cloud.speech.v1.RecognitionMetadata metadata = 9;
Returns
| Type |
Description |
| boolean |
Whether the metadata field is set.
|
hashCode()
Returns
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
newBuilderForType()
public RecognitionConfig.Builder newBuilderForType()
Returns
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected RecognitionConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Returns
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Returns
Overrides
toBuilder()
public RecognitionConfig.Builder toBuilder()
Returns
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter
Overrides
Exceptions


Plugin Information |
|---|
View Klaros-Testmanagement on the plugin site for more information. |
Older versions of this plugin may not be safe to use. Please review the following warnings before using an older version:
Integrates Jenkins with Klaros-Testmanagement by publishing the test results of a build to the Klaros-Testmanagement application.
The test results will be stored in the Klaros-Testmanagement database for further evaluation and reporting purposes.
How to install this plugin
Using the interface
The simplest way is by going to your installation's management screen and clicking there "Manage Plugins". (http:
//yourhost/jenkins/pluginManager
). The web interface will then download *.hpi
files from here, you will just need to restart your Jenkins instance to pick up the changes.
Manual Installation
Save the downloaded *.hpi
file into the $JENKINS_HOME/plugins
directory. You will need then to restart Jenkins (many containers let you do this without restarting the container).
Configuration
In the Jenkins system configuration you are able to specify one or more Klaros-Testmanagement installations which you may publish test results to. The only configuration option is the URL of the application.
In the Jenkins project configuration (under Post-build Actions) you can define the following parameters:
- Username: Specify this if Klaros is configured to require authentication for test results imports
- Password: Specify this if Klaros is configured to require authentication for test results imports
- Project ID: The ID of the Klaros Project to store to
- Iteration ID: The optional ID of the Klaros project iteration to which the test results should belong.
- Test Environment ID: The ID of the Klaros test environment (OS etc.)
- System Under Test ID: The ID of the Klaros system under test (Software version etc.)
- Create a test suite per result file: If enabled, there will be a test suite and corresponding
test suite result created in Klaros for each result file imported - Test Report files: Multiple Ant FileSet includes to the result files to be published
Notes
If the exported test cases are not yet present in Klaros-Testmanagement they are created automatically for the given project.
This plugin requires Klaros-Testmanagement version 2.2.1 or later. User authentication is supported starting from Klaros version 2.6.
Starting with version 2.0.0 this plugin is no longer supporting Hudson.
Version History
Version 2.0.0 (Jan 21, 2017)
- java.io.NotSerializableException when plugin is executed on a slave node (JENKINS-34334)
Version 1.7 (Feb 16, 2016)
- Extend the list of supported result file formats to the supported list of Klaros-Testmanagement 4.4 (JENKINS-32973)
- NullpointerException in KlarosTestResultPublisher:752 (JENKINS-32972)
Version 1.6 (Feb 15, 2016)
- Support specifying result file formats during result publishing (JENKINS-30369)
- Send additional build information while exporting test results (JENKINS-30338)
- Support build environment and build parameter variables (JENKINS-30337)
Version 1.5.1 (May 31, 2015)
- Add proper migration of test result path settings for existing projects (JENKINS-28659)
Version 1.5 (May 30, 2015)
- Add support for iteration assignment of imported test runs (JENKINS-28296)
- Support the creation of test suites on test result import (JENKINS-27596)
- Do not try to export test results for canceled or broken builds (JENKINS-27593)
- Support multiple test result set specifications for uploading (JENKINS-27592)
- Whitespace at the end of input fields leads to bogus file upload (JENKINS-15744)
Version 1.4 (Apr 15, 2011)
- No longer tries to authenticate with an empty username when no name was specified
- Remote Slave execution finally works
Version 1.3 (Apr 08, 2011)
- Fixes a problem when executed on a slave node
Version 1.2 (Feb 14, 2011)
- Update link in help
Version 1.1 (Mar 19, 2010)
- Support for the user authentication introduced in version 2.6
Version 1.0 (Oct 6, 2009)
- Initial Release
Attachments:
Klaros-Testmanagement-ProjectSetup-old.png (image/png)
Klaros-Testmanagement-InstallationSetup-old.png (image/png)
Klaros-Testmanagement-ProjectSetup-old.png (image/png)
Klaros-Testmanagement-InstallationSetup.png (image/png)
Klaros-Testmanagement-InstallationSetup.png (image/png)
Klaros-Testmanagement-ProjectSetup.png (image/png)
Klaros-Testmanagement-ProjectSetup.png (image/png)
Klaros-Testmanagement-ProjectSetup.png (image/png)
Klaros-Testmanagement-InstallationSetup.png (image/png)


| enkf {spatPomp} | R Documentation |
A function to perform filtering using the ensemble Kalman filter of Evensen, G. (1994). This function is generalized to allow for an measurement covariance matrix that varies over time. This is useful if the measurement model varies with the state.
## S4 method for signature 'spatPomp'
enkf(data, Np, ..., verbose = getOption("verbose", FALSE))
data |
A |
Np |
The number of Monte Carlo particles used to approximate the filter distribution. |
... |
If a |
verbose |
logical; if |
An object of class ‘enkfd_spatPomp’ that contains the estimate of the log likelihood
(via the loglik
attribute), algorithmic parameters used to run enkf()
. Also included
are estimated filter means, prediction means and forecasts that are generated during an enkf()
run.
G. Evensen. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. Journal of Geophysical Research: Oceans 99, 10143–10162, 1994.
G. Evensen. Data assimilation: the ensemble Kalman filter. Springer-Verlag, 2009.
J.L. Anderson. An Ensemble Adjustment Kalman Filter for Data Assimilation. Monthly Weather Review 129, 2884–2903, 2001.
Other particle filter methods:
abfir()
,
abf()
,
bpfilter()
,
girf()
,
ibpf()
,
ienkf()
,
igirf()
,
iubf()
# Complete examples are provided in the package tests
## Not run:
# Create a simulation of a Brownian motion
b <- bm(U=2, N=5)
# Run EnKF
enkfd_bm <- enkf(b, Np = 20)
# Get a likelihood estimate
logLik(enkfd_bm)
## End(Not run)


ppmdist(1) ppmdist(1) NAME ppmdist - simplistic grayscale assignment for machine generated, color images SYNOPSIS ppmdist [-intensity|-frequency] [ppmfile] DESCRIPTION Reads a portable pixmap as input, performs a simplistic grayscale assign‐ ment intended for use with grayscale or bitmap printers. Often conversion from ppm to pgm will yield an image with contrast too low for good printer output. The program maximizes contrast between the gray levels output. A ppm input of n colors is read, and a pgm of n gray levels is written. The gray levels take on the values 0..n-1, while maxval takes on n-1. The mapping from color to stepped grayscale can be performed in order of input pixel intensity, or input pixel frequency (number of repetitions). OPTIONS -frequency Sort input colors by the number of times a color appears in the input, before mapping to evenly dis‐ tributed graylevels of output. -intensity Sort input colors by their grayscale intensity, before mapping to evenly distributed graylevels of output. This is the default. BUGS Helpful only for images with a very small number of colors. Per‐ haps should have been an option to ppmtopgm(1). SEE ALSO ppmtopgm(1), ppmhist(1), ppm(5) AUTHOR Copyright (C) 1993 by Dan Stromberg. 22 July 1992 ppmdist(1)


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BUFFY THE VAMPIRE SLAYER A film review by Rob Falk Copyright 1992 Rob Falk
If you were expecting a horror movie full of scares, blood, and guts, don't see this movie.
If you were expecting a movie of any depth and meaning, don't see this movie.

This is not a movie that will go down in the books as a great contribution to mankind or anything, but for an afternoon movie with nothing else to do, it is OK.
The pseudo-big names in the movie are Donald Sutherland as Merrick, the trainer of the killer bimbo, Paul Rubens of Pee-Wee fame (hey, kiddies, look at what I can do! He he!) playing the major antagonist's right hand man :-), Luke Perry of 90210 as Pike, the Rebel Without a Clue (pre-teen girls all over the country are sighing now), and Rutger Hauer playing Lothos the major vampire baddie.
The basic plot is that all throughout history, there have been women who were destined to fight and destroy vampires. Buffy (what a name!) is this time's chosen champion. Merrick finds the young cheerleader and convinces her that she is the Chosen and must fulfill her destiny. After much whining and complaining, and the death of Merrick, Buff decides that she must go out and fight. Buffy must also deal with her shallow friends as she develops a thing for Pike (The thing from another tax bracket). When I mean shallow, I mean that I have stepped in deeper puddles, one of their friends gets muched by a vamp, and all they are worried about is the yellow leather jacket they had lent the victim.
The effects were decent, even though the flying the vampires did was kind of lame. The action and fight choreography is very well done IMHO, and the plot and screenplay were decent. I give it a B- for entertainment value alone.
Rob Falk a.k.a. Tora<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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Oracle Joins
Metadata
This document is formatted using MarkDown
This work was done by Anthony Beck, OrcID: 0000-0002-2991-811X.
Part of the series of hating Oracle but having to work with it
Cross joins
Essentially the dot product.
I need to create a cross join to see what combination of products I have based on tables in an Oracle Schema.
Currently I want to compare all things which are prefixed as
- BUILDINGPOLYGON_
- ROADNETWORK_
select
a.TABLE_NAME as CLASS1,
b.TABLE_NAME as CLASS2
from
user_tables a
CROSS JOIN
user_tables b
where
a.TABLE_NAME LIKE 'BUILDINGPOLYGON_%'
AND a.TABLE_NAME NOT LIKE '%_O'
AND b.TABLE_NAME LIKE 'ROADNETWORK_%'
AND b.TABLE_NAME NOT LIKE '%_O';
If I add in new address elements I may want to add in an extra component:
- ADDRESSPOINT_
- BUILDINGPOLYGON_
- ROADNETWORK_
select
a.TABLE_NAME as CLASS1,
b.TABLE_NAME as CLASS2,
c.TABLE_NAME as CLASS3
from
user_tables a
CROSS JOIN
user_tables b
CROSS JOIN
user_tables c
where
a.TABLE_NAME LIKE 'ADDRESSPOINT_%'
AND a.TABLE_NAME NOT LIKE '%_O'
AND b.TABLE_NAME LIKE 'BUILDINGPOLYGON_%'
AND b.TABLE_NAME NOT LIKE '%_O'
and c.TABLE_NAME LIKE 'ROADNETWORK_%'
AND c.TABLE_NAME NOT LIKE '%_O';
select
a.TABLE_NAME as CLASS1,
b.TABLE_NAME as CLASS2,
c.TABLE_NAME as CLASS3
from
user_tables a
CROSS JOIN user_tables b
CROSS JOIN user_tables c
where
a.TABLE_NAME LIKE 'BLD_PLY_%'
AND a.TABLE_NAME NOT LIKE '%_O'
AND b.TABLE_NAME LIKE 'ROD_NET_%'
AND b.TABLE_NAME NOT LIKE '%_O'
and c.TABLE_NAME LIKE 'ADD_CNT_%'
AND c.TABLE_NAME NOT LIKE '%_O';
This means I can produce a table, METADATA_CLASSPAIR with 3 tuples:
CLASSSOURCE|CLASSNAME ----|---- BUILDING SOURCE|CLASS1 ROADNETWORK_SOURCE|CLASS2 ADDRESS SOURCE|CLASS3
This table is used when calling RadiusStudio. By doing it like this I can essentially call a template Radius Studio action and iterate directly over my CROSS JOIN rows. This means everything is generic.
ABP in the ABP schema
It looks like the ingest sequence for ABP embeds the geomtry as 81989. 81989 is an old oracle name for OSGB projection (srid 27700)
To fix this I did the following:
- drop the index
- update ABPREMBLPU p set p.geometry.sdosrid=27700;
- COMMIT;
- Recreate the index
ABP in the postaldeliveryinput schema
- Radius Studio converts the UPRN (number) to a string (either natively or using the built in function) as an exponential string
Nearest Neighbour
set serveroutput on;
begin
declare
lt2 number :=0;
lt1 number :=0;
lt5 number :=0;
lt10 number :=0;
lt25 number :=0;
lt50 number :=0;
gt50 number :=0;
counter number := 0;
begin
for recs in
(
select
street_intrstn_id,
new_geom
from
t_street_intersection
where
rownum < 100
) loop
for recs2 in
(select
recs.street_intrstn_id,
r.toid,
sdo_nn_distance(1) dist
from
itn.ITNRDND r
where
sdo_nn
(
r.new_geom,
recs.new_geom,
'sdo_batch_size=5',
1
) = 'TRUE'
and rownum < 2
) Loop
if recs2.dist <= 1 then
lt1 := lt1 + 1;
elsif recs2.dist <= 2 then
lt2 := lt2 + 1;
elsif recs2.dist <= 5 then
lt5 := lt5 + 1;
elsif recs2.dist <= 10 then
lt10 := lt10 + 1;
elsif recs2.dist <= 25 then
lt25 := lt25 + 1;
elsif recs2.dist <= 50 then
lt50 := lt50 + 1;
else
gt50 := gt50 + 1;
end if;
counter := counter+1;
end loop;
end loop;
dbms_output.put_line('Less than 1m '||to_char(lt1,'99999')||' '||to_char(lt1/counter*100,'999.0')||'%');
dbms_output.put_line('Less than 2m '||to_char(lt2,'99999')||' '||to_char(lt2/counter*100,'999.0')||'%');
dbms_output.put_line('Less than 5m '||to_char(lt5,'99999')||' '||to_char(lt5/counter*100,'999.0')||'%');
dbms_output.put_line('Less than 10m '||to_char(lt10,'99999')||' '||to_char(lt10/counter*100,'999.0')||'%');
dbms_output.put_line('Less than 25m '||to_char(lt25,'99999')||' '||to_char(lt25/counter*100,'999.0')||'%');
dbms_output.put_line('Less than 50m '||to_char(lt50,'99999')||' '||to_char(lt50/counter*100,'999.0')||'%');
dbms_output.put_line('Greater Than 50m '||to_char(gt50,'99999')||' '||to_char(gt50/counter*100,'999.0')||'%');
dbms_output.put_line('TOTAL '||to_char(counter,'99999'));
end;
end;
/


About
Currently study in Gwang ju AI institute, AI Machine learning engineer apprentice and a fond of Web development (Full stack) field. I have interested in improve the Machine Learning model as well. I love to get used to be new trend of IT field and i have fascinated about Grit mind so nomally i try to do my best for one day one commit on the Github.


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Bootstrap Grid System...
Bootstrap is an open source toolkit for developing with HTML,
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Themes...
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You can install as a package via npm with the command
npm install bootswatch. You can also hotlink the themes
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WITNESS LIST Appropriations Committee February 3, 2005-8:00A Budget On: Crain, Christina Melton (Texas Department of Criminal Justice) Griffin M. D., James (Correctional Managed Health Care Committee) Harris, Dwight (Texas Youth Commission) Hightower, Allen (Correctional Managed Health Care) Jefferds, Chuck (Texas Youth Commission) Livingston, Brad (Texas Department of Criminal Justice) Reyes, Linda S. (Texas Youth Commission) Sapp, Allen (Correctional Managed Health Care Committee) Spriggs, Vicki (Texas Juvenile Probation Commission) White, Bonita (Texas Department of Criminal Justice)


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/a.20tactic.20to.20forget.20the.20definition.html ---
Can we make a tactic to forget the definition of something in the local context while keeping everything else unchanged?
so it would make h : R := 1+1
into h : R
Use generalize
instead of let to define h in the first place. Is this something to do with trying to get subst
to work?
it isn't
you could replace h := h
I think
Last updated: Apr 24 2020 at 19:02 UTC


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When life gets you down...
Just keep swimming!
Just keep swimming!
My Close Friends Describe Me As...
- Dedicated
- Focused
- Versatile
- A Team Player
I'm Currently Watching...
Stranger Things 2, Grey's Anatomy, The Good Doctor & Wisdom of the Crowd
The Best Piece Of Advice I Ever Received...
"Just try. The worst thing they can say is no." (Thanks Mom!)
My Dream Job...
Is to be a professional singer. Karaoke anyone?
I Can't Live Without...
- Cherry Lime La Croix
- My friends & family
- Mahjong...really any games or puzzles
- Chocolate
- My hilarious husband
- Houzz & HGTV
- Bubbly
- My furbabies...Vinny & Folsom
- Traveling...favorite place is Australia
A Few Other Things...
- I appreciate directness and I'm receptive to constructive criticism.
- I believe that effective communication is the key to every successful relationship.
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{% extends 'base.html' %} {% load static %} {% comment %} Copyright 2015, Institute for Systems Biology 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. {% endcomment %} {% block header %} {% endblock %} {% block content %}
| User ID | First Name | Last Name | Email Address | Last Logged In | NIH Username | dbGaP Authorized | ||
|---|---|---|---|---|---|---|---|---|
| {{ each_user.id }} | {% else %}{{ each_user.id }} | {% endif %} {% endif %}{{ each_user.first_name }} | {{ each_user.last_name }} | {{ each_user.email }} | {{ each_user.last_login }} | {% if each_user.NIH_username == 'None' %}{% else %}{{ each_user.NIH_username }}{% endif %} | {% if each_user.dbGaP_authorized == 'None' or each_user.dbGaP_authorized == '0'%} No {% else %} Yes {% endif %} |


Geography
The Faroe Islands are an island group consisting of 18 major islands
(and a total of 779 islands, islets, and skerries) about 655 kilometres
(407 mi) off the coast of Northern Europe, between the Norwegian Sea
and the North Atlantic Ocean, about halfway between Iceland and Norway,
the closest neighbours being the Northern Isles and the Outer Hebrides
of Scotland. Its coordinates are 62°00′N 06°47′W.
The islands cover an area of 1,399 square kilometres (540 sq. mi) and
have small lakes and rivers, but no major ones. There are 1,117 kilometres
(694 mi) of coastline. The only significant uninhabited island is
Lítla Dímun.The islands are rugged and rocky with some low peaks; the coasts are mostly
cliffs. The highest point is Slættaratindur in northern Eysturoy, 882 metres
(2,894 ft) above sea level.
CLIMATE & NATURE
The climate is classed as subpolar oceanic climate according to the Köppen
climate classification: Cfc, with areas having a tundra climate, especially
in the mountains, although some coastal or low-lying areas can have very
mild-winter versions of a tundra climate. The overall character of the
islands' climate is influenced by the strong warming influence of the
Atlantic Ocean, which produces the North Atlantic Current. This, together
with the remoteness of any source of landmass-induced warm or cold airflows,
ensures that winters are mild (mean temperature 3.0 to 4.0 °C or 37 to 39 °F)
while summers are cool (mean temperature 9.5 to 10.5 °C or 49 to 51 °F).
The islands are windy, cloudy and cool throughout the year with an average of
210 rainy or snowy days per year. The islands lie in the path of depressions
moving northeast, making strong winds and heavy rain possible at all times of
the year. Sunny days are rare and overcast days are common. Hurricane Faith
struck the Faroe Islands on 5 September 1966 with sustained winds over 100 mph
(160 km/h) and only then did the storm cease to be a tropical system.
The climate varies greatly over small distances, due to the altitude, ocean
currents, topography and winds. Precipitation varies considerably throughout
the archipelago. In some highland areas, snow cover can last for months with
snowfalls possible for the greater part of the year (on the highest peaks,
summer snowfall is by no means rare), while in some sheltered coastal
locations, several years pass without any snowfall whatsoever. Tórshavn
receives frosts more often than other areas just a short distance to the
south. Snow is also seen at a much higher frequency than on outlying islands
nearby. The area receives on average 49 frosts a year.
The collection of meteorological data on the Faroe Islands began in 1867.
Winter recording began in 1891, and the warmest winter occurred in 2016–17
with an average temperature of 6.1 °C (43 °F).
NATURE
The natural vegetation of the Faroe Islands is dominated by arctic-alpine plants,
wildflowers, grasses, moss and lichen. Most of the lowland area is grassland and
some is heath, dominated by shrubby heathers, mainly Calluna vulgaris. Among the
herbaceous flora that occur in the Faroe Islands is the cosmopolitan marsh thistle,
Cirsium palustre. A few small plantations consisting of plants collected from similar climates such as Tierra del
Fuego in South America and Alaska thrive on the islands.
FAUNA
The bird fauna of the Faroe Islands is dominated by seabirds and birds attracted
to open land like heather, probably because of the lack of woodland and other
suitable habitats. Many species have developed special Faroese sub-species:
common eider, Common starling, Eurasian wren, common murre, and black guillemot.
The pied raven, a color morph of the North Atlantic subspecies of the common
raven, was endemic to the Faroe Islands, but has now become extinct. Only a few
species of wild land mammals are found in the Faroe Islands today, all introduced
by humans. Three species are thriving on the islands today: mountain hare (Lepus
timidus), brown rat (Rattus norvegicus), and the house mouse (Mus musculus).
Apart from these, there is a local domestic sheep breed, the Faroe sheep
(depicted on the coat of arms), and there once was a variety of feral sheep,
which survived on Lítla Dímun until the mid-19th century.
Grey seals (Halichoerus grypus) are common around the shorelines.
Several species of cetacea live in the waters around the Faroe Islands. Best known
are the long-finned pilot whales (Globicephala melaena), which are still hunted by
the islanders in accordance with longstanding local tradition. Orcas (Orcinus orca)
are regular visitors around the islands.
The domestic animals of the Faroe Islands are a result of 1,200 years of isolated
breeding. As a result, many of the islands' domestic animals are found nowhere
else in the world. Faroese domestic breeds include Faroe pony, Faroe cow, Faroe
sheep, Faroese goose, and Faroese duck.


Reproducible and Collaborative Data Science
For our first class, please read Sections 1.1 - 1.8 in R4DS
tidyverse


Last semester, campus dining halls operated under COVID-19 precautions, which did not allow students to dine in-person or serve themselves. In order to comply with these restrictions, students were provided with a green to-go box upon entry into the dining halls.
Gwyn Scott, associate vice president for auxiliaries, said dining halls will have an in-person dining option this semester. Additionally, according to OU’s website, the majority of Culinary Services’ locations will be open for the Fall Semester.
“It is our plan to return to pre-COVID operations, and as such, there will be a variety of seating styles in each venue,” Scott said in an email.
With the return to normal dining hall operations, Tara Theaker, a sophomore studying psychology, said she understands how some students may be concerned with in-person dining options this semester.
“There will be mass crowding in the dining halls,” Theaker said. “People won't be wearing masks when eating, so I know that'll probably make some people anxious or cause some problems maybe with the new variant.”
Additionally, Emily Mcvicker, a senior studying applied nutrition and public health who worked within culinary services in the past, said in an email that “it’s going to be a lot more stressful and require more prep as well as clean up … but hopefully more enjoyable.”
Despite the numerous COVID-19 precautions last semester, Theaker said she enjoyed having the opportunity to take her food to-go.
“I kinda liked I could just grab it really quick and leave and go eat wherever with my friends,” Theaker said. “I couldn't get seconds or actually get to have the college experience of sitting in a dining hall.”
To-go options will also be available this semester; however, Scott said students who do not already have a green to-go container must pay $5 for a new one.
Despite potential concerns with returning to normal dining options, Scott said Culinary Services has been working on preparing employees for the upcoming semester.
“We are currently recruiting, hiring, and scheduling team members to deliver excellent customer experiences,” Scott said in an email. “We are quite busy preparing to reopen our venues and welcome our Bobcats to the Fall Semester!”
After experiencing the dining halls under COVID-19 precautions during the Spring Semester, Theaker said she is excited to experience the dining halls under normal circumstances.
“I hope to see that they don't shut it down, so that we can't eat inside there anymore,” Theaker said. “I get to see all the other students that live near my dorm eating in there and it's kind of fun because you get to see some familiar faces. I hope they keep doing that.”


--- layout: default ---
President: David Yue
Vice-President: Vincent Huang
Treasurer: Mukund Rao
Math Club Introduction Powerpoint: 0_MathClubIntro.pptx
Triangles Powerpoint: 1a_Triangles.pptx
Geometry Problemset: 1b_GeoProblems.pdf
Puzzles Handout: Puzzles_10-7-16.pdf


A 48-hour international collaboration & co-working event focused on NASA's TESS Mission.
This is a working meeting in the style of a hack week or sprint and there won't be any talks. Instead, the goal is to encourage participants to work together to learn something new, meet people with complementary skills, and create something useful (in the form of a software package, a paper, an idea, or something else that we haven't thought of yet).
The specific schedule of the program is still being developed, but the time will be mostly unstructured and participants will not be expected to participate outside of their usual working hours. In advance, participants asynchronously introduce themselves and pitch project ideas to the rest of the group. Then, we will self-organize into groups, split up the work, and collaborate on the project for the two days of the program. At the end, all participants will asynchronously share what they learned or achieved with the rest of the group.
We are working to develop a schedule and a set of project management recommendations to encourage and support collaborations across time zones. But, this is also an experiment, so all participants are encouraged to join with an open mind, enthusiasm about building new collaborations, and a willingness to change plans if (when) things don't proceed as expected.
If you publish a paper that benefitted from this workshop, we request you follow the collaboration policy and include the following statment in your acknowledgement:
This project was developed in part at the online.tess.science meeting, which took place globally in 2020 September.
This is a taste of some of the projects that are happening/have happened at this event:
The deadline for applications was 24 August 2020. Applicants will be selected using entrofy and notified by 27 August.
Any questions should be addressed to the SOC chair.
To ensure transparency and openness, we have adopted the collaboration policy developed for the Gaia Sprints. This policy requires that participants agree to the following:
All participants will be expected to openly share their ideas, expertise, code, and interim results. Project development will proceed out in the open, among participants and in the world.
Participants will be encouraged to change gears, start new collaborations, and combine projects. Any participant who contributes significantly to a project can expect co-authorship on resulting scientific papers, and any participant who gets significant contributions to a project is expected to include those contributors as co-authors.
These rules make it inadvisable to bring proprietary data sets or proprietary code, unless the participant bringing such assets has the rights to open them or add collaborators.
We are dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment, abusive behavior, or intimidation of conference participants in any form. As such, we follow the AAS Code of Ethics, and expect all participants to read and abide by the statements in the AAS Code of Ethics.
The first meeting, "Preparing for TESS," was held at the Flatiron Institute in New York City in March 2018.
The second meeting, "Building Early Science with TESS," was held at the University of Chicago in March 2019.
The third meeting, "Expanding the Science of TESS," was held at the University of Sydney in February 2020.
The fourth in-person meeting, "All Sky Science with TESS," will be held at the University of Birmingham, UK in 2021.


Deathwing Boosters Launch01
Deathwing Boosters Launch03
Deathwing Boosters Launch02
Deathwing SelfDestruct Dr7 Charge01
Deathwing DefenseMatrix End01
Deathwing FS StandStart02
Deathwing FS StandStart03
Deathwing FS StandStart01
Deathwing DefenseMatrix Launch01
Deathwing FS StandStart04
Deathwing FS StandStart05
Deathwing FS StandStart07
Deathwing FS StandStart06
Deathwing SelfDestruct Charge01


Hi, I'm Samar Anand I'm a student of JavaScript making random things and learning it in own way. Also, I'm a Competitive Programmer.


Home
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All art made by the NEO community
Made by "Rufio-1408" - NEO on the moon
Made by "justin7942163" - No one can tell you what NEO is, you have to see for yourself
Made by "superantsman" - NEO in Vegas
Made by "Muixix" - Let NEO Guide us to a Bright Future


Taiwanese SIF decrypter context.
More...
#include <DecrypterContext.h>
|
| | TW2_Dctx (const void *header, const char *filename) |
| | Initialize SIF TW decrypter context. More...
|
| |
| uint32_t | get_id () |
| | Gets the game property of the current decrypter context. More...
|
| |
| void | decrypt_block (void *buffer, uint32_t len) |
| | XOR block of memory. More...
|
| |
| void | decrypt_block (void *dest, const void *src, uint32_t len) |
| | XOR block of memory and write the result to different buffer. More...
|
| |
| void | goto_offset (uint32_t offset) |
| | Recalculate decrypter context to decrypt at specific position. More...
|
| |
| void | goto_offset_relative (int32_t offset) |
| | Recalculate decrypter context to decrypt at specific position. More...
|
| |
| void | final_setup (const char *, const void *, int32_t) |
| | Finalize decrypter context (Version 3 only). Does nothing in other decryption version. More...
|
| |
|
| uint32_t | init_key |
| | Key used at pos 0. Used when the decrypter needs to jump to specific-position. More...
|
| |
| uint32_t | update_key |
| | Current key at pos More...
|
| |
| uint32_t | pos |
| | Variable to track current position. Needed to allow jump to specific-position. More...
|
| |
| uint32_t | xor_key |
| | Values to use when XOR-ing bytes. More...
|
| |
| uint8_t | version |
| | Decrypter version. JP Decrypt sets this to 3 while others sets this to 2 . More...
|
| |
Taiwanese SIF decrypter context.
◆ TW2_Dctx() [1/2]
| HonokaMiku::TW2_Dctx::TW2_Dctx |
( |
| ) |
|
|
inlineprotected |
◆ TW2_Dctx() [2/2]
| HonokaMiku::TW2_Dctx::TW2_Dctx |
( |
const void * |
header, |
|
|
const char * |
filename |
|
) |
| |
Initialize SIF TW decrypter context.
- Parameters
-
| header | The first 4-bytes contents of the file |
| filename | File name that want to be decrypted. This affects the key calculation. |
- Exceptions
-
| std::runtime_error | The header does not match and this decrypter context can't decrypt it. |
◆ encrypt_setup()
| static TW2_Dctx* HonokaMiku::TW2_Dctx::encrypt_setup |
( |
const char * |
filename, |
|
|
void * |
hdr_out |
|
) |
| |
|
inlinestatic |
Creates SIF TW decrypter context specialized for encryption.
- Parameters
-
| filename | File name that want to be encrypted. This affects the key calculation. |
| hdr_out | Pointer with size of 16-bytes to store the file header. |
◆ get_id()
| uint32_t HonokaMiku::TW2_Dctx::get_id |
( |
| ) |
|
|
virtual |
Gets the game property of the current decrypter context.
- Returns
- Game property. The low 16-bit is the game type, and the upper 16-bit is the decrypter version
Implements HonokaMiku::DecrypterContext.
The documentation for this class was generated from the following file:


The canvas:
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History goes here:
Commands:
pen_on
pen_off
move PIXELS
rotate DEGREES
Your bidding:


Craig is excited to return to the stage this season at Apple Hill Playhouse!
In addition to serving on the board of AHP, he is also active with Valley Players of Ligonier and
Greensburg Civic Theatre. Last season at Apple Hill Playhouse,
he portrayed Bernard S. Dunlap in Suite Surrender, and Count Puchlik of
Puszczykowo in Secondary Cause of Death. This season at Apple Hill he played Ralph in Butterflies Are Free, and before that he was Freddie in Noises Off in Ligonier.
Thanks go to all his castmates, especially Pam, who helped with his British dialect immensely!
He dedicates whatever happens onstage to his children Alec, Kaley, Camden, and Avery.


UK might not exist in a decade, half of citizens think: poll
by ReutersThe United Kingdom might not exist in its current form in a decade’s time, half of its citizens believe, an Ipsos MORI poll found.
The 52-48% vote in 2016 to leave the European Union has strained the bonds that tie England, Scotland, Wales and Northern Ireland into the United Kingdom: Scotland and Northern Ireland voted to stay while England and Wales voted to leave.
As the United Kingdom heads towards its latest Brexit deadline of Jan. 31, there are growing demands for an independence referendum in Scotland and for a vote on Northern Ireland unifying with the Republic of Ireland.
Scots rejected independence by 55 to 45 percent in a 2014.
The Ipsos Mori poll showed 50% thought the United Kingdom would not exist in 10 years, up from 43% in 2014. Just 29% said it would exist in its current form in a decade, down from 45% in 2014.
In the shorter term, the fate of the union - which traces its history back to the 1707 Treaty of Union - was also uncertain: 42% said the United Kingdom would exist in five years’ time and 44% said it would not.
“The British public are now much more divided in their expectations of the Union’s future than they were in 2014, when the Union’s future was under intense debate with Scotland just three months away from an independence referendum,” said Emily Gray, Managing Director of Ipsos MORI Scotland.
“With independence a key faultline in Scotland’s election debate, the findings will be concerning for those who want Scotland to remain in the Union, while those campaigning for an independent Scotland will hope that this is a continuing trend.”
Ipsos MORI interviewed a sample of 1,001 adults aged 18+ across Britain on Oct. 25-28.


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Early Exit
Posted on Sun 12 July 2020 in Better Python
You will have definitely come across the following pattern often:
if post_data:
thing = post_data.get("thing")
if thing is not None:
setting = get_user_setting(user, thing)
if setting is not None:
permission = get_user_permission(user)
if permission is True:
if user.is_superuser:
return DataPoint.objects.all()
elif user.is_staff:
return DataPoint.objects.filter(user=user)
else:
return DataPoint.objects.filter(user=user, thing=thing)
else:
return "Permission denied"
else:
return "Setting not found"
else:
return "Thing not specified"
else:
return "No data posted"
What is good about the code above? It follows the thought process that most developers would have: which conditions must be met for me to execute the core logic of this feature? So I check each of those conditions and proceed if it is met. Then, in the middle of the code block, I have my core logic bundled up nicely. And at the end I deal with the cases where the conditions were not met.
But are there any downsides?
-
The condition checks are quite disjointed. If you want to see what happens when a condition is not met, you have to carefully follow the indentation down to where the corresponding
else
is. This is not ideal, but often accepted by a lot of developers. -
The indentation can become very acute if there are many layers of conditions.
Is there a better way? Yes, there is: the early exit. Instead of following the thought process of "Which conditions must be met?", we rather ask "Which conditions can I eliminate right off the bat?" Here's how we would rewrite the code above:
if not post_data:
return "No data posted"
thing = post_data.get("thing")
if thing is None:
return "Thing not specified"
setting = get_user_settig(user, thing)
if setting is None:
return "Setting not found"
permission = get_user_permission(user)
if permission is False:
return "Permission denied"
if user.is_superuser:
return DataPoint.objects.all()
if user.is_staff:
return DataPoint.objects.filter(user=user)
return DataPoint.objects.filter(user=user, thing=thing)
For each condition that is not met, we return immediately, since no further processing is necessary. And then at the end we have our core logic bundled up again.
This does a few things for us.
-
It still keeps the core logic in one place.
-
The conditions are also bundled up with their corresponding logic.
-
We don't have the indentation problem any more.
-
This may be just me, but I find the refactored code easier to read.
There is one caveat to this pattern: it mostly makes sense if you return something when a conditions is not met. If your application logic needs to not return anything, but for example append an error message to a list instead (and then continue), the above might have to be structured differently.
But you'll find tons of places where this pattern is applicable, and if it makes sense in your scenario, go ahead and use it liberally. It's awesome.
(Code above can be found on Github)


Google Maps JavaScript Reference
| Maps Controls Data Overlays Services Geocoder Save to Google Maps | Map Types Layers Street View Events Base MVC Geometry Library | COM Library Panoramio Library Places Library Drawing Library Weather Library Visualization Library |
Add markers at:
click on zip image above


HTML5 & CSS3
CSS
Presented by Ivo Kostovski & Ivan Lazarevski
© 2020/2021 Seavus Education & Development Center
Styling links
- Browsers tend to show links in blue with an underline by default, and they will change the color of links that have been visited to help users know which pages they have been to.
- In CSS, there are two pseudo-classes that allow you to set different styles for links that have and have not yet been visited.
*A CSS pseudo-class is a keyword added to a selector that specifies a special state of the selected element(s).
Styling links (2)
- :link
- This allows you to set styles for links that have not yet been visited.
- :visited
- This allows you to set styles for links that have been clicked on.
- *For privacy reasons, the styles that can be modified using this selector are very limited.
a:link {
color: deeppink;
text-decoration: none;
}
a:visited {
color: black;
}
Styling links (3)
- There are three pseudo-classes that allow you to change the appearance of elements when a user is interacting with them.
Styling links (4)
- :hover
- This is applied when a user hovers over an element with the mouse.
- :active
- This is applied when an element is being activated by a user; for example, when a button is being pressed or a link being clicked.
- :focus
- This is applied when an element has focus. Focus occurs when a browser discovers that you are ready to interact with an element on the page.
a {
text-decoration: none;
}
a:link {
color: #265301;
}
a:visited {
color: #437A16;
}
a:focus {
background-color: #BAE498;
}
a:hover {
background-color: #CDFEAA;
}
a:active {
background-color: #265301;
color: #CDFEAA;
}
*When pseudo-classes are used, they should appear in this order: :link, :visited, :hover, :focus, :active.


Blogging with Github Pages and Pretzel.
29 Aug 2017As I mentioned in my 'hello-blog' post, my search for blogging tools ended at Github Pages and Pretzel. In this post, I will outline the process of setting up a blog using Github pages, Pretzel, Hyde and Markdown, using what I learnt while setting up this one.
The Goal.
The goal here is a system which has the following publish-a-blog sequence -
- Write the blog in as close to english as possible. We use Markdown (filename.md) for close-to-english text files.
- Add the file into a specific directory on local machine.
- Review add/edited blog-site and added/edited blog-post without internet connectivity. Rinse and repeat as needed.
- Check in all updates (aka backup). Enter Github - On successful check-in, online blog is automatically updated with new content. (Only this step needs internet connectivity).
Essentially, its very developer friendly. This process emulates the code, build, test, deploy cycle of software development.
The Pieces.
The infrastructure
- A Github project pages repository which will have
- A template project for a web-site, which I chose to be Hyde. Why?
- I liked it.
- It is a Jekyll theme. Github pages default is Jekyll. I avoided using Jekyll because of reasons cited later, But staying close to defaults seemed a good idea.
- A directory within the repository named 'docs' (as per Github rules) holding the pre-assembled auto-generated and checked-in web-site. Github pages automatically serves this web-site from a public Url.
- A template project for a web-site, which I chose to be Hyde. Why?
- Pretzel to build/rebuild the web-site template, new/edited posts and generate/preview the updated web-site while offline. Some batch files for the builds with Pretzel commands, so that the process is seamlessly repeatable.
- Git, to push the updates to the template, the posts and to the generated web-site (docs folder) into the repo and the publishable version into the docs folder. (Note that we didn't say anything about copying anything over to docs folder - Pretzel build scripts take care of that.)
- Oh, and I almost forgot. Visual Studio Code is the text editor. Pick whichever you like.
(Note - If you don't have a github account, this is a good time to create one. Also, if you don't know Git, much of this blog won't make sense to you. if you really, really want to blog, this is a good alternative option tumblr).
Github and Github Pages
Github Pages are a feature inbuilt into Github which enables you to host static web-sites with minimum effort. There are a few different flavors.
User Pages
If your github account is acc, Create a new repository named as acc (same as the account name). A public web-site with no content is available at http://acc.github.io.
Add a index.html with only the text 'Hello World' into the 'master' branch. You should see 'Hello World' in your browser from http://acc.github.io/.
Organization Pages
Similar to user pages except the repo is at the organization level, and has the same name as the organization. Gets published(approximately) at http://github.com/organizationname. *Check with official Github documentation as I didn't investigate this much.
Project Pages
If your github account is acc, viz, your Github account is at https://acc.github.com, and you add a new repository named as repo, the Project pages site with no content is available at https://acc.github.io/repo
Add a folder called 'docs' in repo in the master branch.
Add a index.html with just the text 'Hello World' into the 'docs' folder. This automatically gets published as http://acc.github.io/repo. You should see 'Hello World' in your browser from this site.
These sites are available at a per-repository level. They can also be configured so that the web-site is geing served either from master branch, from a top level folder in the master branch named as docs or a branch specifically named as gh-pages.
I am using the docs option above.
Other Things...
Note that it is perfectly possible to have user-pages, organization-pages and project-pages in the same account. Given that the user account is acc, the organization name is organizationname, and the project repo name is repo, the following public web-sites will be available. - http://acc.github.io/ as the User Page Site. - http://github.com/organizationname as an Organization Page Site - http://acc.github.io/repo as a Project Page Site
The site can be a Jekyll based, OR a plain vanilla html website but with with an index.html at the top level of the site. I presume how this works is this - Github passes a http call to the site url through a web-server which can process Liquid - a html templating engine. This engine passes on plain vanilla html as is, so html spec based content just flows through that web server. We are using this approach as we are pre-building the web-site as a collection of static html pages.
If using Jekyll, you need to create a Jekyll based website in the repo and branch as per your choice from the page types - user, organization or project. Github's Jekyll based build process will probably do the Jekyll builds on your behalf before publishing online. More details about Github's inbuilt support for Jekyll publishing can be found at here.
Hello Pretzel (and Static-site generators)!
Pretzel is a open source, static-site generator in .NET.
Maybe the first question to address is how many of these there are? Take a look. When it comes to frameworks, We are living in a world of plenty these days.
What do they do? Well, basically a static site generator, especially the ones targeting blogging, take a bunch of layout templates (e.g. site-header.html, sidebar.html, footer.html), your CSS stylesheets, your Javascript, and your posts (usually in markdown, but based on support you could probably use any syntax - markdown, yaml, plain html, razor) - and processes them to a colection of plain vanilla HTML/CSS/Javascript pages - one for each post. Each page generated is a complete and self-contained html page, combining all the common layout templates, the CSS, the Javascript and the Markdown content, with links between pages and navigation.
I picked Pretzel because it is written in C#. I know C# well so I can read the code, debug or enhance Pretzel if I ever so require. (Other possible options included Wyam, and Sandra.Snow).
Now Pretzel tries to keep as close as possible to Jekyll. Considering I am looking for a offline Jekyll replacement, Pretzel seemed appropriate.
And with Pretzel I can build/rebuild/run the entire site on my local machine with minimal fiddling (Which Jekyll setup, debug, or enhancement will all force me to do, and all in Ruby). As a .NET developer, my primary machine is usually all set to do just about anything with the CLR. Once testing is done, all I need to do is copy the local machine site folder into the folder from which Github serves project pages (the 'docs' folder under Github repository root). With build scripts, I can automate this step. When I check-in to Github, after allowing some time for Github to build the site and CDN propagation to happen, the latest content comes up on the public site.
For further details, check out the Pretzel wiki.
Setup
Setting up the repository in Github portal.
Do the following to setup your Github blogging. This method sets up a Project Site as the blog site.
- Create a Github account, viz. acc.
- Create a repository in github, viz. repo. I created https://github.com/insen/blog.
- Git clone into local machine. This is where you will be adding your site.
- Add a docs folder. (Name needs to be exact).
- Add an index.html with the text 'Hello world'.
- Add a docs folder. (Name needs to be exact).
- Push to Github.
- Goto Github repository settings, Gh-Pages section - Select 'master branch/docs folder'.
- Check https://acc.github.io/repo/ - the contents of index.html should be visible in your browser.
And that's it. The blog post you are currently reading at https://insen.github.io/blog/ has been built in the same fashion, though we are still missing a few steps yet - We need to setup pretzel and then make our site look decent. But reversing th order makes things easier, So onto Hyde first, then Pretzel.
Importing Hyde to local machine.
Hyde is a pre-built theme for Jekyll. Since Pretzel closely follows Jekyll paradigms, It should work without issues, or so I thought. I was mostly correct. All we have to do here is git clone the Hyde repository at Github.
The reason we need this is that the basic site created by Pretzel is quite horrible, both aesthetically and structurally. I started looking for something that works from an aesthetic point of view, but as close to Jekyll as possible, which led me to Hyde.
Setting up Pretzel on local machine and basic usage.
Setting up Pretzel is quite straight forward. Get Pretzel from here, OR use Chocolatey - a package manager for windows. To use Chocolatey, install Chocolatey from here, and on an elevated command prompt or powershell console, run the command
choco install pretzel
- To create a basic site for you. The command details are here. You can lookup the various possible options.
pretzel create [options]
- Bake the site - means generate the output website and put it into a default folder. Usually named _site and located at project root level. The command details are here. I will use the following version.
pretzel bake
--source="c://srcpath"
--destination="d://dpath"
--cleantarget
- Test the site
pretzel taste
--source="c://dpath"
--port=8001
Important note - the source directory in 'taste' command is the destination directory in 'bake' command. This is what we are using. For other options, check Pretzel wiki.
I will be creating batch scripts for the (bake) and (taste) snippets which will be useful.
Getting jiggy with it.
- Delete the contents of your repository (except docs folder), and then copy the entire contents of the hyde repo into your blog repo.
- Run the Pretzel bake command from a prompt at the repository root folder with no command-line args. Pretzel should create a folder called _site under repository folder. It does NOT. It does this instead.
Unhandled Exception: Pretzel.Logic.Exceptions.PageProcessingException: Failed to process E:\work\blogging\blog\_site\201
2\02\07\example-content\index.html, see inner exception for more details ---> DotLiquid.Exceptions.SyntaxException: Unknown tag 'gist'
at DotLiquid.Block.UnknownTag(String tag, String markup, List`1 tokens)
at DotLiquid.Block.Parse(List`1 tokens)
at DotLiquid.Document.Initialize(String tagName, String markup, List`1 tokens)
at DotLiquid.Template.ParseInternal(String source)
Why? The reason here is that a sample post in the _posts folder contains, among other bits, the following content
{% gist 5555251 gist.md %}
And this does not work in Pretzel.
Why again? Because Hyde is a Jekyll theme, and Jekyll has a parser for the gist command. Pretzel does NOT. Delete this line from the post.
(However, this also means, you have to figure out an alternative way to embed gists in your post, if you need to).
-
Run bake again with no parameters. Pretzel uses the current directory as the source directory and creates the web-site. Now, bake should succeed, and you should see a sub-folder called _site. This contains your entire blog site.
-
Delete the CNAME file from the repository folder as well as the generated _site folder *(This causes issues if you don't have a top level domain name. And no, you CANNOT point this to the Github site url).
-
Change index.html. This file should be in the repo directory.
-
There should be a line towards the top. md
{% for post in paginator.posts %}
. Change 'paginator' to 'site'. Paginator is a Jekyll plugin and does NOT work in Pretzel. No posts show up if we retain paginator. -
There should be a line a little below the above

. Change this to
. Navigation between posts does not work otherwise.
-
-
Update the config.yml. A config.yml is given below. I changed the 'connect' and its sub-items. These fields are used in the Liquid based html templates, viz.
{{ site.title }}
or{{ site.connect.github }}
, etc. The sections marked as (Setup) in ths file have to be filed in and be accurate. They are used to generate the site.
My config.yml is shown.
# Dependencies
markdown: redcarpet
highlighter: pygments
# Permalinks
permalink: pretty
relative_permalinks: true
# Setup
title: 'Some text'
tagline: 'Some text'
description: 'Some text'
url: 'your blog url after publication - use https if https expected, else use http'
baseurl: 'your blog url after publication - use https if https expected, else use http. Could be same or different from previous'
author:
name: 'a name'
url: 'a url'
paginate: 5
# Custom vars
version: 1.0.0
connect:
github: '@github'
linkedin: '@linkedin'
email: '@email'
exclude:
- docs\
- .gitignore
- .git
- pbake.bat
- ptaste.bat
-
Run taste command as specified above from the repository directory. This command should run, open a browser on local machine and show you the sample posts (ref - we removed the 'gist' tag from one of them).
-
Bake and taste the site again - Check the _site and the docs folder. There should be no recursive folder patterns. (Note - this means that the bake and taste commands you used are correct with source and destination file names and other options. Otherwise your site generation times, and github check-in times, and github repo size will exponentially increase with the number of bakes. The two example commands given in usage section are correct except for file-names and avoid the recursive folders issue. I added these two commands as batch files to my repo - pbake.bat and ptaste.bat. These are my build files. Also, since the pretzel bake output is already redirected to the 'docs' folder in the batch files, I don't have to manually copy anything).
-
Check-in to Github.
Next is what?
There's quite a bit left to do -
- A header
- Landing site should show a list of posts, not posts and post-content.
- Disqus integration.
- Google Analytics integration.
- Tag cloud.
- Maybe CNAME and site search.
But for now, this blog seems to be showing up on the internet. If you followed along this far with no problems, you should also be good to go.
Go forth, and typo. (pssst !! pun intended).
Additional resources
- Free Formatter for html encoding.
- Markdown Syntax for reference.
- Markdown Sample which works in Github.


Uncertainty quantification¶
dtApp/dtCode/unquant.py
- Author
Marco De Angelis
- Organisation
University of Liverpool
This single python file unquant.py
is the backend code for the uncertainty page.
A single function unquant()
wrangles all the data requests from the html template.
The function takes care of the data sent by user performing a few actions:
The data is converted in SI units;
The slider position is converted to an interval;
The uncertainty propagation function is invoked;
The output is captured and plotted with Plotly.
This file makes sure that when no data are provided by the user, the page displays and plots the nominal values.
The default values that populate the page on load are defined at the top of document as persistent variables.
MASS = [5.362, 5.144, 5.142] # *1e4 kg
STFF = [3.846, 4.464, 4.589] # *1e8 N/m
DAMP = [1.699, 1.016, 1.34] # *1e4 Ns/m
This page makes use of the following dependencies.
External dependencies
from flask import render_template, request, redirect, Response, url_for
import importlib.util
import numpy
import plotly
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import json
The internal dependency is imported from the scientific code library.
import dtLib.unquant.msd3 as msd3
If not otherwise specified:
-
dtApp.dtCode.unquant.
backend
()¶ Although this function takes explicit inputs, it is responsible for dispatching the data requests from the html page.
The html inputs are dispathed from the Flask’s request object
request
, as follows:for key,val in request.form.items(): if key == "input1": input1 = int(val) if key == 'input2': input2 = float(val)


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