(#) File endsWith on file extensions !!! WARNING: File endsWith on file extensions This is a warning. Id : `FileEndsWithExt` Summary : File endsWith on file extensions Severity : Warning Category : Correctness Platform : Any Vendor : Android Open Source Project Feedback : https://issuetracker.google.com/issues/new?component=192708 Affects : Kotlin and Java files Editing : This check runs on the fly in the IDE editor Implementation : [Source Code](https://cs.android.com/android-studio/platform/tools/base/+/mirror-goog-studio-main:lint/libs/lint-checks/src/main/java/com/android/tools/lint/checks/FileEndsWithDetector.kt) Tests : [Source Code](https://cs.android.com/android-studio/platform/tools/base/+/mirror-goog-studio-main:lint/libs/lint-tests/src/test/java/com/android/tools/lint/checks/FileEndsWithDetectorTest.kt) Copyright Year : 2021 The Kotlin extension method `File.endsWith(suffix)` checks whole path components, not just string suffixes. This means that `File("foo.txt").endsWith(".txt")` will return false. Instead you might have intended `file.path.endsWith` or `file.extension.equals`. (##) Example Here is an example of lint warnings produced by this check: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~text src/test.kt:4:Warning: File.endsWith compares whole filenames, not just file extensions; did you mean file.path.endsWith(".xml") ? [FileEndsWithExt] fun File.isXml() = endsWith(".xml") ---------------- src/test.kt:7:Warning: File.extension does not include the leading dot; did you mean "json" ? [FileEndsWithExt] fun File.isJson() = extension == ".json" ----- src/test.kt:8:Warning: File.extension does not include the leading dot; did you mean "webp" ? [FileEndsWithExt] fun isWebp(path: File) = path.extension.startsWith(".webp") ----- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Here is the source file referenced above: `src/test.kt`: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~kotlin linenumbers import java.io.File // This does not work -- it will return false for "foo/bar.xml", but true for "foo/.xml" fun File.isXml() = endsWith(".xml") // This does not work -- the extension property does not include the leading dot fun File.isJson() = extension == ".json" fun isWebp(path: File) = path.extension.startsWith(".webp") fun File.isText() = path.endsWith(".txt") // OK fun File.isPng() = extension == "png" // OK ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ You can also visit the [source code](https://cs.android.com/android-studio/platform/tools/base/+/mirror-goog-studio-main:lint/libs/lint-tests/src/test/java/com/android/tools/lint/checks/FileEndsWithDetectorTest.kt) for the unit tests for this check to see additional scenarios. (##) Suppressing You can suppress false positives using one of the following mechanisms: * Using a suppression annotation like this on the enclosing element: ```kt // Kotlin @Suppress("FileEndsWithExt") fun method() { endsWith(...) } ``` or ```java // Java @SuppressWarnings("FileEndsWithExt") void method() { endsWith(...); } ``` * Using a suppression comment like this on the line above: ```kt //noinspection FileEndsWithExt problematicStatement() ``` * Using a special `lint.xml` file in the source tree which turns off the check in that folder and any sub folder. A simple file might look like this: ```xml <?xml version="1.0" encoding="UTF-8"?> <lint> <issue id="FileEndsWithExt" severity="ignore" /> </lint> ``` Instead of `ignore` you can also change the severity here, for example from `error` to `warning`. You can find additional documentation on how to filter issues by path, regular expression and so on [here](https://googlesamples.github.io/android-custom-lint-rules/usage/lintxml.md.html). * In Gradle projects, using the DSL syntax to configure lint. For example, you can use something like ```gradle lintOptions { disable 'FileEndsWithExt' } ``` In Android projects this should be nested inside an `android { }` block. * For manual invocations of `lint`, using the `--ignore` flag: ``` $ lint --ignore FileEndsWithExt ...` ``` * Last, but not least, using baselines, as discussed [here](https://googlesamples.github.io/android-custom-lint-rules/usage/baselines.md.html).


CM-Well graph explorer
Starting point:
Get Data
Input
Action
What is this?
Demonstrates how to connect D3 and CM-Well
Input box
Put any subject URI and app will try and retrieve from host
Mouse Wheel
Zoom
Drag (white space)
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Show node details
Click
Attempt to load the node from host


{% extends "base.html" %} {% block content %}
{{ key.details}}
NOTE: Machinaris will never display your private key here.
However, you may view it yourself by executing this from within the Docker container.
chia keys show --show-mnemonic-seed
Also, you may view the key file(s) on the host, which you mounted within the Docker container:


some paragraphes
some text here mainly used for the main title
some text here mainly used for the secondary title
some text here mainly used for the 3rd level of titles
some text here mainly used for the 4th level of titles
some text here mainly used for the 5th level of titles
some text here mainly used for the 6th level of titles
- ingerediant 1
- ingerediant 2
- ingerediant 3
- ingerediant 1
- ingerediant 3
- ingerediant 2
link without http
link with http


Jag kan jQuery, det är inte så svårt
When there is no enemy within, the enemy outside can do you no harm.
When you refuse to allow any doubts in your own minde, then no doubts from others will ever cloud your judgment.
When you create a strong minde, there can be no other that will defeat you with their words or with their judgment.
When you believe in you, you need no other to believe in you.


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In a clinical trial with repeated measures designs, outcomes are often taken from subjects at fixed time-points. The focus of the trial may be to compare the mean outcome in two or more groups at some pre-specified time after enrollment. In the presence of missing data auxiliary assumptions are necessary to perform such comparisons. One commonly employed assumption is the missing at random assumption (MAR). The 'samon' package allows the user to perform a (parameterized) sensitivity analysis of this assumption. In particular it can be used to examine the sensitivity of tests in the difference in outcomes to violations of the MAR assumption. The sensitivity analysis can be performed under two scenarios, a) where the data exhibit a monotone missing data pattern (see the samon() function), and, b) where in addition to a monotone missing data pattern the data exhibit intermittent missing values (see the samonIM() function).
| Version: | 4.0.0 |
| Depends: | R (≥ 2.10) |
| Published: | 2017-08-15 |
| Author: | Daniel O. Scharfstein [aut], Aidan McDermott [aut, cre] |
| Maintainer: | Aidan McDermott <amcderm1 at jhu.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| In views: | MissingData |
| CRAN checks: | samon results |
| Reference manual: | samon.pdf |
| Package source: | samon_4.0.0.tar.gz |
| Windows binaries: | r-devel: samon_4.0.0.zip, r-release: samon_4.0.0.zip, r-oldrel: samon_4.0.0.zip |
| OS X binaries: | r-release: samon_4.0.0.tgz, r-oldrel: samon_4.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=samon to link to this page.


This document aims to help organizers and moderators of PuPPy spaces to handle reports of Code of Conduct violations.
CoC violations at PuPPy events
Presentations
Presentations or similar events should not be stopped for one-time gaffes or minor problems, although a member of the volunteer staff should speak to the presenter afterward. However, staff should take immediate action to politely and calmly stop any presentation or event that repeatedly or seriously violates the anti-harassment policy. For example, simply say "I’m sorry, this presentation cannot be continued at the present time" with no further explanation.
In-person reports
When taking a report from someone experiencing harassment you should record what they say and reassure them they are being taken seriously, but avoid making specific promises about what actions the organizers will take.
Ask for any other information if the reporter has not volunteered it (such as time, place) but do not pressure them to provide it if they are reluctant. Even if the report lacks important details such as the identity of the person taking the harassing actions, it should still be recorded and passed along to the appropriate staff member(s).
If the reporter desires it, arrange for an escort by volunteer staff, venue staff or a trusted person, to contact a friend, and/or to contact local law enforcement. Do not pressure the reporter to take any action if they do not want to do it. Respect the reporter’s privacy by not sharing unnecessary details with others, especially individuals who were not involved with the situation or non-staff members.
After resolving the issue, a CoC report should be written and submitted to<EMAIL_ADDRESS>as soon as possible, so that the information can be logged and included in transparency reports. The report should be written according to the Code of Conduct Reporting Guide.
Warnings
Any member of volunteer staff can issue a verbal warning to a participant that their behavior violates the Code of Conduct.
Expulsion
A participant may be expelled by the decision of volunteer staff and at their discretion. Here are some general guidelines for when a participant should be expelled:
- A third offense that resulted in a warning from staff
- Continuing to harass after any "No" or "Stop" instruction
- A pattern of harassing behavior, with or without warnings
- A single serious offense (e.g., punching or groping someone)
- A single obviously intentional offense (e.g., taking up-skirt photos)
In addition, hotel/venue security and local authorities should be contacted when appropriate.
CoC violations in community spaces
In case someone reports a code of conduct violation outside meetups or events, in one of the PuPPy online spaces, or otherwise by email.
Initial receipt
Reports must be acknowledged as received within 24 hours or sooner.
The staff must review the incident and determine the following:
- What happened.
- Whether this event constitutes a code of conduct violation.
- Who the bad actor was.
- Whether this is an ongoing situation.
- If there is a threat to anyone’s physical safety.
After the staff has a complete account of the events they need to make a decision as to how to resolve the case. Resolutions might include:
- Nothing (if we determine no violation occurred).
- A private reprimand from the staff to the individual(s) involved.
- A public reprimand.
- An imposed vacation (for example, asking someone to "take a week off" from Slack or the forum).
- A permanent or temporary ban from some or all PuPPy spaces (Slack, meetups, or other events).
- A request for a public or private apology.
A response must be sent within one week to the person who filed the report with either a resolution or an explanation of why the situation is not yet resolved.
Public statements
As a general rule, volunteer staff should not make any public statements about the behavior of individual people during or after the event. After each event, a CoC transparency report will be published with anonymized information about any violations that might have occurred.
This report should be handled with care not to divulge personally identifying information about victims, reporters, and violators, and should serve as a means to ensure that attendees will be comfortable reporting harassment and that our community will be kept accountable for supporting and encouraging safe spaces.


This section will describe how to use Cake with your AppVeyor CI builds.
Start by copying NuGet.exe
to your tools folder. Cake uses the tools
path as a convention for finding stuff it needs such as unit test runners and other tools.
Add a build script called build.cake
to the project root. In this tutorial, we'll just create a really simple build script for demonstration.
// Get the target.
var target = Argument<string>("target", "Default");
Task("Default")
.Does(() =>
{
Information("Hello from Cake!");
});
RunTarget(target);
Create a old fashioned batch file called build.cmd
that will download Cake and execute the build script.
@echo off
:Build
cls
if not exist tools\Cake\Cake.exe (
echo Installing Cake...
tools\NuGet.exe install Cake -OutputDirectory tools -ExcludeVersion -NonInteractive -Prerelease
)
echo Starting Cake...
tools\Cake\Cake.exe build.cake -target=Default -verbosity=diagnostic
Now we need to tell AppVeyor how to start the Cake build. Do this by setting the build script for your AppVeyor project to build.cmd
. Save your settings and you should be done.
The next triggered build will now execute the Cake build script as expected.


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Clear All Caches Clear Domain Cookies Clear All Cookies
Inject jQuery PageSpeed Insights
The results of these tests will be written to the DevTools console.
Accessibility Broken Links Check for console.log Compatibility Markup Privacy Relationship Attributes Relative URLs SEO Usability


--- layout: post title: "The Week in Predictions" date: 2017-05-13 10:10:00 +0000 tags: image: https://s3.amazonaws.com/contrafabulists/2017-05-13-predict.jpg imagecredits: https://www.flickr.com/photos/conifer/10512826293 ---
As part of a new Contrafabulists' project, we are monitoring predictions that technologists make each week...
According to The Chicago Tribune, “Stephen Hawking now says humanity has only about 100 years to escape Earth.”
Despite all the predictions about robots being poised to take all our jobs, the Information Technology & Innovation Foundation says that this is mostly “false alarmism.” The tech industry-sponsored think tank says that, “If there is any risk for the future, it is that technological change and resulting productivity growth will be too slow, not too fast.”


Congratulations and welcome to level 2! Now have a go at a more traditional style of riddle: Pronounced as one letter,
And written with three,
Two letters there are,
And two only in me.
I'm double, I'm single,
I'm black, blue, and grey,
I'm read from both ends,
And the same either way.
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Tutorial¶
This package combines different scripts that aide in working with computers ranging from Windows 10 to Linux to Ubuntu to automate regular, repetitive and error prone tasks.
Building Documentation¶
The documentation for this repository has been extensively commented as well as the SciPy API.
Sphinx Configuration¶
-
conf.
setup
(app)[source]¶ Add custom css styling.
Warning for path names.
Don’t use
os.path.abspath()
if you need to extend this. Pathmames that have a . in them will be interpreted as packages and crash the build. I.E. the following won’t work.:/data/data/com.termux/
Make¶
Expedite documentation builds.
We attempt to automate documentation builds with this module.
Still need to add an option to recursively move the html files out of the
currently git-ignored directory _build/html/
into this directory.
Update the options you can give to the parser:
remove python path
Add open in browser as an option
Fix the output for the
commands
argument when this is run withsys.argv
== 0
-
class
make.
DocBuilder
(num_jobs=1, verbosity=0, warnings_are_errors=False)[source] Bases:
object
Class to wrap the different commands of this script.
All public methods of this class can be called as parameters of the script.
-
builder
The filetype make invokes sphinx-build to create.
- Type
-
_open_browser
(self, single_doc_html)[source] Open a browser tab showing the single doc html option.
-
sphinx_build
(self, kind='html')[source] Build docs.
- Parameters
kind ({'html', 'latex'}) – Kind of docs to build.
Examples
>>> DocBuilder(num_jobs=4).sphinx_build('html')
-
-
make.
_parse_arguments
(cmds=None)[source] Parse user arguments.
- Parameters
cmd (str) – Arguments provided by the user.
- Returns
user_args – Argumemts as they’ve been interpreted by
argparse
.- Return type
argparse.NameSpace
See also
docutils.core
Shows a few good methods on how to programatically publish docs.
-
make.
main
()[source] Set everything up.
-
make.
termux_hack
()[source] Android permissions don’t allow viewing files in app specific files.


Notebooks
Story: The !khou or water tortoise
The !khou or water tortoise
Title
The !khou or water tortoise
Collection
Summary
About the !khou, or water tortoise: it lives in water and is a rain's 'thing' (!khoa ka ||kerri-ssi !kau).
Comments
1) See also An account of the rain's things or '!khoa ka ||kerri-ssi !kau', 2) This story is found in Book VIII-1
Contributors
|han≠kass'o (Klein Jantje) (VIII)
Date
January 1878
Categories
The Rain and Rain's water, Plants and animals
Keywords
water tortoise (the !khou) , water tortoise (is a !khoa ka ||kerri-ssi !kau) , water tortoise (is rain's thing, or !khoa ka ||kerri-ssi !kau) , water tortoise (its nature and habits) , water tortoise (lives in the water) , water tortoise (is a water's thing) , rain's thing (or !khoa ka ||kerri-ssi !kau) , rain's thing (the water tortoise, or !khou, is) , rain (the water tortoise, or !khou, is its thing) , animals (the rain's things or !khoa ka ||kerri-ssi !kau) , animals (the water tortoise, or !khou) , name (of the water tortoise is !khou) , name (of a rain's thing) , water (the water tortoise or !khou is a water's thing) , water (rain's things live in)
Story Pages
6077


Tutorials
Learn how to create powerful and reproducible analyses using R. Then communicate your findings using Shiny, Rmarkdown, bookdown, and other presentation mediums
LEARN MOREReporting Gallery
Examples of actuarial analyses communicated via Shiny, Rmarkdown, and other analysis presentation mediums
EXPLORE GALLERY


We love hearing from you. Please submit any questions, suggestions, or general feedback in the space below along with your name and e-mail address. We appreciate your comments or concerns and will respond to them as soon as possible.
We love hearing from you. Please submit any questions, suggestions, or general feedback in the space below along with your name and e-mail address. We appreciate your comments or concerns and will respond to them as soon as possible.


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
IN THE HIGH COURT OF KERALA AT ERNAKULAM Crl.MC.No. 17 of 2011() 1. RAJAN, S/O.UNNI, ... Petitioner Vs 1. STATE OF KERALA, ... Respondent For Petitioner :SRI.S.RAJEEV For Respondent : No Appearance The Hon'ble MR. Justice THOMAS P.JOSEPH Dated :21/01/2011 O R D E R THOMAS P JOSEPH, J. ---------------------------------------- Crl.M.C.No.17 of 2011 --------------------------------------- Dated this 21st day of January, 2011 ORDER
Petitioner is aggrieved by the condition imposed by the learned Judicial First Class Magistrate-II, Thamarassery while releasing the vehicle involved vide order on C.M.P.No.4353 of 2010 in Crime No.520 of 2010 of Mukkom Police Station. Vehicle belonging to the petitioner was seized allegedly for draining sewage into the river and thereby committing offence punishable under Secs.24(i) r/w Sec.43 of the Water (Prevention and Control) of Pollution Act, 1974. Learned Magistrate while ordering release of the vehicle, among other conditions directed that petitioner, not to repeat such offence using the said vehicle, shall deposit `.1,00,000/- in cash. Petitioner is aggrieved by that condition. It is submitted by learned counsel that the condition imposed is harsh and petitioner is not able to deposit the said amount. Learned counsel states that other appropriate conditions are already fixed by the learned Magistrate.
2. I have heard learned Public Prosecutor also.
3. It is seen from the order under challenge that learned Magistrate while ordering release of the vehicle has imposed Crl.M.C.No.17 of 2011 -: 2 :- appropriate conditions. There is also a direction that the vehicle shall not be used for (commission of) any offence during the period of (its) interim custody. In view of that condition I am inclined to think that it was not necessary to direct deposit of cash security. Hence the condition imposed by the learned Magistrate vide the impugned order to deposit cash security of `.1,00,000/- is to be set aside. But it is directed that in case any of the other conditions imposed by the learned Magistrate is violated it would forfeit the bond.
Resultantly this criminal miscellaneous case is allowed and the condition imposed by the learned Magistrate vide order dated October 20, 2010 on C.M.P.No.4353 of 2010 in Crime No.520 of 2010 of Mukkom Police Station directing deposit of Rs. One Lakh in cash as security is set aside. But it is directed that violation of any other condition would result in forfeiture of the bond.
(THOMAS P JOSEPH, JUDGE) Sbna/-


Just before European Union leaders agreed their guidelines for the Brexit nego tiations last week, the president of the EU council, Donald Tusk, said: It is clear that progress on people, money and Ireland must come first. It was rather startling to find Irish concerns up there.
Just before European Union leaders agreed their guidelines for the Brexit nego tiations last week, the president of the EU council, Donald Tusk, said: It is clear that progress on people, money and Ireland must come first. It was rather startling to find Irish concerns up there.
Read moreLorem ipsum dolor sit amet, consectetur adipisicing elit. Ab cupiditate sint nesciunt, sapiente. Voluptatem, ut. Architecto ducimus illum possimus, provident.


--- title: Quick start with the FINN.no recsys slate dataset [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/finn-no/recsys-slates-dataset/blob/master/quickstart-finn-recsys-slate-data.ipynb) keywords: fastai sidebar: home_sidebar nb_path: "examples/quickstart-finn-recsys-slate-data.ipynb" ---
!pip install recsys_slates_dataset -q
It is possible to directly load the dataset as a pytorch dataloader which includes the same dataset splits etc as in the original paper.
Use the load_dataloaders
function in the dataset_torch
module. It has the following options:
| Argument | Description |
|---|---|
| batch_size | Number of unique users sampled in each batch |
| split_trainvalid | Ratio of full dataset dedicated to train (val/test is split evenly among the rest) |
| t_testsplit | For users in valid and test, how many interactions should belong to training set |
| sample_uniform_action | If this is True, the exposures in the dataset are sampled as in the all-item likelihood (see paper) |
The outputs of the function are ind2val
, itemattr
and a dictionary with pytorch dataloaders for training, validation and test.
import torch
from recsys_slates_dataset import dataset_torch
ind2val, itemattr, dataloaders = dataset_torch.load_dataloaders(data_dir="dat")
print("Dictionary containing the dataloaders:")
print(dataloaders)
batch = next(iter(dataloaders['train']))
for key, val in batch.items():
print(key, val.size())
data.npz
) The dataset consist of 2.2M unique users that have interacted up to 20 times with the internet platform platform, and has been exposed to up to 25 items at each interaction.
data.npz
contains all the slate and click data, and the two main arrays are click
and slate
.
The convention of the dimension of the arrays are that the first dimension is per user, second dimension is time and third dimension is the presented slate.
The full description of all array are as follows:
| Name | Dimension | Description |
|---|---|---|
| slate | [userId, interaction num, slate pos] | the presented slates to the users; |
| click | [userId, interaction num] | items clicked by the users in each slate |
| interaction_type | [userId, interaction num] | type of interaction the user had with the platform (search or recommendation) |
| click_idx | [userId, interaction num] | Auxillary data: The position of the click in the slate dataframe (integer from 0-24). Useful for e.g. categorical likelihoods |
| slate_lengths | [userId, interaction num] | Auxillary data: the actual length of the slate. Same as 25- "number of pad index in action" |
dat = dataloaders['train'].dataset.data
# Print dimensions of all arrays:
for key, val in dat.items():
print(f"{key} : \t {val.size()}")
print("Slate:")
print(dat['slate'][5,3])
print(" ")
print("Click:")
print(dat['click'][5,3])
print("Type of interaction: (1 implies search, see ind2val file)")
print(dat['interaction_type'][5,3])
From the above extraction we can see that user 5 at interaction number 3 was presented with a total of 7 items: 6 "real" items and the "no-click" item that has index 1. The remaining positions in the array is padded with the index 0. The "no-click" item is always present in the slates, as the user has the alternative not to click on any of the presented items in the slate. Further, we see that the user clicked on the 4'th item in the slate. The slate length and the click position can be found by the following auxillary arrays:
print("Click_idx:")
print(dat['click_idx'][5,3])
print("Slate lengths:")
print(dat['slate_lengths'][5,3])
ind2val.json
) This files contains mapping from indices to values for the attributes category and interaction_type.
| Name | Length | Description |
|---|---|---|
| category | 290 | Mapping from the category index to a text string that describes the category. The category value is a text string that describes the category and location of the group |
| interaction_type | 3 | Indices of whether the presented slate originated from search or recommendations |
for key, val in ind2val.items():
print(" ")
print(f"{key} first entries:")
for idx, name in val.items():
print(f"{idx}: {val[idx]}")
if idx >3:
break
for key, val in itemattr.items():
print(f"{key} : {val.shape}")
print("\nThe full dictionary:")
itemattr
print("Find the itemId that were click by user 5 in interaction 3:")
itemId = [dat['click'][5,3]]
print(f"itemId: {itemId}")
print("\nFind the category index of that item in itemattr:")
cat_idx = itemattr['category'][itemId]
print(f"Category index: {cat_idx}")
print("\nFinally, find the category name by using ind2val:")
cat_name = ind2val['category'][cat_idx.item()]
print(f"Category name: {cat_name}")
print(f"Ratio of no clicks: {(dat['click']==1).sum() / (dat['click']!=0).sum():.2f}")
print(f"Average slate length: {(dat['slate_lengths'][dat['slate_lengths']!=0]).float().mean():.2f}")
print(f"Ratio of slates that are recommendations: {(dat['interaction_type']==2).sum() / (dat['interaction_type']!=0).sum():.3f}")
print(f"Average number of interactions per user: {(dat['click']!=0).sum(-1).float().mean():.2f}")
Each batch returns a dictionary of pytorch tensors with data, and contains the usual data fields described above.
In addition, it contains a mask_type
tensor which explains whether each click belongs to train, valid or test.
It is of the same dimensionality as the click tensor (num users * num interactions
).
This is because we want to return the full sequence of interactions so that e.g. the test set can use the first clicks of the user (which belongs to the training set) to build a user profile.
The mask is defined in the following way:
mask2split = {
0 : 'PAD',
1 : 'train',
2 : 'valid',
3 : 'test'
}
If the mask equals zero it means that the length of the user sequence was shorter than this index. The modeler has to take care to not train on elements in the validation or test dataset. Typically this can be done by masking all losses that does not originate from the training dataset:
train_mask = (batch['mask_type']==1)
train_mask
For example, for user number 1 in this batch, the first five interactions belong to the training set, and the remaining belongs to the validation set.
We can extract the clicks that belong to the training set by using mask_type
:
print("Mask of user 2:")
print(batch['mask_type'][1,])
print(" ")
print("Clicks belonging to the training set:")
print(train_mask[1,])
print(" ")
print("Select only the clicks in training dataset:")
batch['click'][1,][train_mask[1,]]


IIT-Madras placements phase-I concludes with 848 offers, most from core domain
by Careers DeskBy: Careers Desk | New Delhi | Published: December 9, 2019 3:36:56 pm
The first phase of campus recruitment concluded at IIT-Madras. (Express Photo by Sahil Walia/Representational image)
The first phase of placements at the Indian Institute of Technology (IIT) Madras has ended with 848 students being placed. As many as 831 offers from 184 companies. This includes 34 international offers from 17 firms. Further, 167 students got pre-placement offers (PPOs). Phase II of placements will begin in the second half of January 2020.
A total of 1,298 students were in the fray for the campus Phase I placements during 2019-20. Of the total, 22 per cent of the registered students were females.
Most offers, in the phase-I, were made by Micron Technolgy India operations with 31 offers followed by Intel and Microsoft with 20 and 19 offers, respectively. Sector-wise, most offers were from core R&D domain with 43 per cent offers followed by 31 per cent offers from analytics, finance, consulting domain.
In total 848 students got placed out of 1,298 students. This is around the same as last year (2018-19) when 844 students had been placed at the end of Phase I.
In terms of PPOs, most offers in the PPOs were made from core and research and development sector with a total of 41 per cent students getting offers in the area. This was followed by analytics, consulting, and finance sector from were 25 per cent of the total offers were made.
For all the latest Jobs News, download Indian Express App
© IE Online Media Services Pvt Ltd
- Tags:
- govt jobs
- IIT Madras


|
PortMidi
Cross-platform MIDI IO library
|
Classes | |
| struct | PmEvent |
| All midi data comes in the form of PmEvent structures. More... | |
Macros | |
| #define | PM_FILT_ACTIVE (1 << 0x0E) |
| filter active sensing messages (0xFE): | |
| #define | PM_FILT_SYSEX (1 << 0x00) |
| filter system exclusive messages (0xF0): | |
| #define | PM_FILT_CLOCK (1 << 0x08) |
| filter MIDI clock message (0xF8) | |
| #define | PM_FILT_PLAY ((1 << 0x0A) | (1 << 0x0C) | (1 << 0x0B)) |
| filter play messages (start 0xFA, stop 0xFC, continue 0xFB) | |
| #define | PM_FILT_TICK (1 << 0x09) |
| filter tick messages (0xF9) | |
| #define | PM_FILT_FD (1 << 0x0D) |
| filter undefined FD messages | |
| #define | PM_FILT_UNDEFINED PM_FILT_FD |
| filter undefined real-time messages | |
| #define | PM_FILT_RESET (1 << 0x0F) |
| filter reset messages (0xFF) | |
| #define | PM_FILT_REALTIME |
| filter all real-time messages More... | |
| #define | PM_FILT_NOTE ((1 << 0x19) | (1 << 0x18)) |
| filter note-on and note-off (0x90-0x9F and 0x80-0x8F | |
| #define | PM_FILT_CHANNEL_AFTERTOUCH (1 << 0x1D) |
| filter channel aftertouch (most midi controllers use this) (0xD0-0xDF) | |
| #define | PM_FILT_POLY_AFTERTOUCH (1 << 0x1A) |
| per-note aftertouch (0xA0-0xAF) | |
| #define | PM_FILT_AFTERTOUCH |
| filter both channel and poly aftertouch More... | |
| #define | PM_FILT_PROGRAM (1 << 0x1C) |
| Program changes (0xC0-0xCF) | |
| #define | PM_FILT_CONTROL (1 << 0x1B) |
| Control Changes (CC's) (0xB0-0xBF) | |
| #define | PM_FILT_PITCHBEND (1 << 0x1E) |
| Pitch Bender (0xE0-0xEF. | |
| #define | PM_FILT_MTC (1 << 0x01) |
| MIDI Time Code (0xF1) | |
| #define | PM_FILT_SONG_POSITION (1 << 0x02) |
| Song Position (0xF2) | |
| #define | PM_FILT_SONG_SELECT (1 << 0x03) |
| Song Select (0xF3) | |
| #define | PM_FILT_TUNE (1 << 0x06) |
| Tuning request (0xF6) | |
| #define | PM_FILT_SYSTEMCOMMON |
| All System Common messages (mtc, song position, song select, tune request) More... | |
| #define | Pm_Channel(channel) (1<<(channel)) |
| Create a mask that filters one channel. | |
| #define | Pm_Message(status, data1, data2) |
| Encode a short Midi message into a 32-bit word. More... | |
| #define | Pm_MessageStatus(msg) ((msg) & 0xFF) |
| Extract the status field from a 32-bit midi message. | |
| #define | Pm_MessageData1(msg) (((msg) >> 8) & 0xFF) |
| Extract the 1st data field (e.g., pitch) from a 32-bit midi message. | |
| #define | Pm_MessageData2(msg) (((msg) >> 16) & 0xFF) |
| Extract the 2nd data field (e.g., velocity) from a 32-bit midi message. | |
Typedefs | |
| typedef int32_t | PmMessage |
| see PmEvent | |
Functions | |
| PMEXPORT PmError | Pm_SetFilter (PortMidiStream *stream, int32_t filters) |
| PMEXPORT PmError | Pm_SetChannelMask (PortMidiStream *stream, int mask) |
| Filter incoming messages based on channel. More... | |
| PMEXPORT PmError | Pm_Abort (PortMidiStream *stream) |
| Terminate outgoing messages immediately. More... | |
| PMEXPORT PmError | Pm_Close (PortMidiStream *stream) |
| Close a midi stream, flushing any pending buffers. More... | |
| PmError | Pm_Synchronize (PortMidiStream *stream) |
| (re)synchronize to the time_proc passed when the stream was opened. More... | |
| #define PM_FILT_AFTERTOUCH |
filter both channel and poly aftertouch
| #define PM_FILT_REALTIME |
filter all real-time messages
| #define PM_FILT_SYSTEMCOMMON |
All System Common messages (mtc, song position, song select, tune request)
| #define Pm_Message | ( | status, | |
| data1, | |||
| data2 | |||
| ) |
Encode a short Midi message into a 32-bit word.
If data1 and/or data2 are not present, use zero.
| PMEXPORT PmError Pm_Abort | ( | PortMidiStream * | stream | ) |
Terminate outgoing messages immediately.
| stream | an open MIDI output stream. |
The caller should immediately close the output port; this call may result in transmission of a partial MIDI message. There is no abort for Midi input because the user can simply ignore messages in the buffer and close an input device at any time.
| PMEXPORT PmError Pm_Close | ( | PortMidiStream * | stream | ) |
Close a midi stream, flushing any pending buffers.
| stream | an open MIDI input or output stream. |
(PortMidi also attempts to close open streams when the application exits – this is particularly difficult under Windows.)
| PMEXPORT PmError Pm_SetChannelMask | ( | PortMidiStream * | stream, |
| int | mask | ||
| ) |
Filter incoming messages based on channel.
| stream | an open MIDI input stream. |
| mask | indicates channels to be received. |
The mask
is a 16-bit bitfield corresponding to appropriate channels. The Pm_Channel macro can assist in calling this function. I.e. to receive only input on channel 1, call with Pm_SetChannelMask(Pm_Channel(1)); Multiple channels should be OR'd together, like Pm_SetChannelMask(Pm_Channel(10) | Pm_Channel(11))
Note that channels are numbered 0 to 15 (not 1 to 16). Most synthesizer and interfaces number channels starting at 1, but PortMidi numbers channels starting at 0.
All channels are allowed by default
| PmError Pm_Synchronize | ( | PortMidiStream * | stream | ) |
(re)synchronize to the time_proc passed when the stream was opened.
| stream | an open MIDI input or output stream. |
Typically, this is used when the stream must be opened before the time_proc reference is actually advancing. In this case, message timing may be erratic, but since timestamps of zero mean "send immediately," initialization messages with zero timestamps can be written without a functioning time reference and without problems. Before the first MIDI message with a non-zero timestamp is written to the stream, the time reference must begin to advance (for example, if the time_proc computes time based on audio samples, time might begin to advance when an audio stream becomes active). After time_proc return values become valid, and BEFORE writing the first non-zero timestamped MIDI message, call Pm_Synchronize() so that PortMidi can observe the difference between the current time_proc value and its MIDI stream time.
In the more normal case where time_proc values advance continuously, there is no need to call Pm_Synchronize. PortMidi will always synchronize at the first output message and periodically thereafter.


Mixed reactions from online users over the ban of e-scooters from footpaths in Singapore
by Rubaashini ShunmuganathanStarting today (5 November), electric scooters will be banned from footpaths in Singapore, and those found guilty of the crime can be fined up to S$2,000 and jail time of up to three months once the ban is strictly enforced from 2020.
The Land Transport Authority (LTA) said in a statement that despite “significant efforts” to regulate the use of such personal mobility devices (PMDs) using laws and to educate the public in using such devices responsibly, “offences relating to errant behaviour and incidents involving e-scooters remained on an upward trend”.
Although e-scooters are banned from being used on roads in the Republic, but it will still be allowed on cycling paths and Park Connector Networks (PCNs).
From now till 31 December 2019, there will be an advisory period where offenders will be given warnings, in order to give time for e-scooter riders to adjust to the changes.
“From 1 January 2020, a zero-tolerance approach will be taken and those caught riding an e-scooter on footpaths will face regulatory action. Offenders are liable for fines up to S$2,000 and/or face imprisonment of up to 3 months, if convicted,” LTA warned.
However, bicycles and Personal Mobility Aids (PMAs) like motorised wheelchairs will not be subjected to the footpaths ban, and will also be allowed on all cycling paths and PCNs.
Touching on allowing e-scooter users to continue making use of cycling paths and PCNs across Singapore, LTA said that it intends to “triple” the current distance of cycling paths from 440km by 2030, adding that all HDB towns will have a cycling path by that year.
“Several cycling path projects are nearing completion in major towns. From next year, residents in Ang Mo Kio, Bishan, Bukit Panjang, Taman Jurong and Tampines can enjoy greater active mobility connectivity as sections of cycling paths in these neighbourhoods will be completed.
If that’s not all, LTA also stated that it will be extending the Early Disposal Incentive for registered non-UL2272 certified e-scooters by one month to 31 December this year, and will also be providing more disposal points in December.
“Since the introduction of the S$100 early disposal incentive in September, LTA has received more than 9,000 applications from owners to dispose of their registered non-UL2272 certified e-scooters,” said LTA.
It added, “It is an offence to ride unregistered or non-compliant e-scooters on public paths. We strongly urge the owners of non-compliant e-scooters to dispose their devices early to protect themselves and their neighbours from unnecessary fire risks.”
LTA, in compliance with a safety directive issued by the Minister for Transport, will also “reject all existing licence applications and will not be inviting applications for PMD sharing licences until further notice”.
Following the announcement of the ban, online users gave mixed reactions over the decision. Penning their opinions on the Facebook pages of The Straits Times, Channel NewsAsia and TODAY, a large number of them applauded the Government’s move to disallow e-scooters on footpaths. They said that it’s “good riddance” to ban PMDs on footpaths as “elderly and children can finally feel safe to walk on pedestrian footpaths”.
Others said that the ban is unfortunate for PMD retailers and responsible riders as they have to now face the consequences due to the “acts of black sheep”. They added that those who use PMDs for livelihood will also have to suffer, even though they’re not at fault. Ken Chew said that this ban is “totally unfair” and the Authority should “ban those black sheep by a demerits point system”.
A number of online users felt sorry for parents and food delivery riders as they will now be badly affected due to the ban. They said that food delivery companies will be “nearly gone except for those that are using vehicles and motorbikes”.
Shewin Pillay pointed out that the general public will also suffer as we might not get our food delivered to us after this. “Ou(r) waits will be longer because the poor soul will be on his bicycle instead of his PMD. Or even worse, we won’t be able to get a rider and our order not fulfilled,” he wrote.
Some highlighted that the Government is “irresponsible” as they shouldn’t have allowed the use of PMDs in the first place since Singapore did not have the infrastructures to handle the devices. Leonie R Tan said the ban shows the “short cut and laziness of this government. Instead of choosing licensing, certification and education which takes more effort, they choose just outright ban”.


System Architect Definitions, Encyclopedia:"D:\DATA\SYSARCH\HCM\GEN_DATA\SUBJECT\V01\CURRENT\"
Normality Level (Class)
- Description:
"Level" providing a value for a "Normality of Property".
- Source:
post-CBS
- State Type:
F
- &Abstract:
F
- Value:
F
Normality Of Property (Class)
- Description:
"Perception of Property" which indicates the observer's assessment of the normality of the "Subject
Property".
- Source:
post-CBS
- State Type:
F
- &Abstract:
F
- Value:
F
Not Required Activity (Class)
- Description:
"Activity" which is no longer required.
- Comment:
Like Completed, this is an end state.
- Source:
post-CBS
- State Type:
F
- &Abstract:
F
- Value:
F
Not Required Intention (Class)
- Description:
"Intention" which it has been decided not to proceed with.
- Source:
post-CBS
- State Type:
F
- &Abstract:
F
- Value:
F


FREE(1) User Commands FREE(1) NAME free - Display amount of free and used memory in the system SYNOPSIS free [options] DESCRIPTION free displays the total amount of free and used physical and swap memory in the system, as well as the buffers used by the kernel. The shared memory column should be ignored; it is obsolete. OPTIONS -b, --bytes Display the amount of memory in bytes. -k, --kilo Display the amount of memory in kilobytes. This is the default. -m, --mega Display the amount of memory in megabytes. -g, --giga Display the amount of memory in gigabytes. --tera Display the amount of memory in terabytes. -h, --human Show all output fields automatically scaled to shortest three digit unit and display the units of print out. Following units are used. B = bytes K = kilos M = megas G = gigas T = teras If unit is missing, and you have petabyte of RAM or swap, the num‐ ber is in terabytes and columns might not be aligned with header. -c, --count count Display the result count times. Requires the -s option. -l, --lohi Show detailed low and high memory statistics. -o, --old Display the output in old format, the only difference being this option will disable the display of the "buffer adjusted" line. -s, --seconds seconds Continuously display the result delay seconds apart. You may actually specify any floating point number for delay, usleep(3) is used for microsecond resolution delay times. --si Use power of 1000 not 1024. -t, --total Display a line showing the column totals. --help Print help. -V, --version Display version information. FILES /proc/meminfo memory information SEE ALSO ps(1), slabtop(1), top(1), vmstat(8). AUTHORS Written by Brian Edmonds. REPORTING BUGS Please send bug reports to<EMAIL_ADDRESS>procps-ng September 2011 FREE(1)


Latest Release: 4.2.0
- Add Swedish locale
- Add Latvian locale
- Add Turkish locale
- Add Hebrew locale
- Add password input type
- Add textarea input type
- Add date input type
- Add time input type
- Add number input type
- Support DOM selectors for container argument
- UMD support
- Better support on mobile devices
4.1.0
- Add support for placeholder attribute in prompts
- Add select, email and checkbox types for prompts (thanks @tarlepp)
- Add Norwegian locale
- Allow setDefaults to take two key/val arguments
- Add unique classes for main dialog methods
- Create bower package
4.0.0
- Bootstrap 3.0.0 compatibility
- Complete rewrite (and new public API)
- Use strict mode
- Add close buttons to wrapper methods (GH-92)
- Allow dialog titles to be specified (GH-51, GH-112)
- Allow optional extra class on dialog wrapper (GH-116)
- Fix
backdrop: true
not firing close handler (GH-77)
- Replace various configuration methods with one
setDefaults
3.3.0
- Add Polish translation (GH-93)
- Add Danish translation (GH-96)
- Pass event object to custom callbacks (GH-103)
- Add Chinese (Taiwan / China) translations (GH-106)
- Make prompt input block-level (GH-111)
- Add link: true option to prevent btn class from being applied (GH-114)
- Prevent child elements triggering hidden callback (GH-115)
- Replace Phing with Grunt
- Replace Closure compiler with UglifyJS
3.2.0
- ensure
onEscape
handlers return callback values properly (GH-91)
- ensure clicking close button invokes onEscape handler if present
3.1.0
- ensure
confirm
and prompt
methods return callback values properly (GH-90)
- address various jshint warnings (GH-79)
- add
setBtnClasses
method for custom standard button classes (GH-87)
3.0.0
- bump Bootstrap dependency to 2.2.2
- bump jQuery dependency to 1.8.3
- ensure callbacks are always invoked even if dialogs are dismissed with escape key (GH-49)
- fix button positions with Bootstrap 2.2.2 (GH-58)
- stop multiple dialogs crashing browsers (GH-60, GH-64)
- ensure
shown
event is fired properly even when animation is disabled (GH-69)
- use
.on
instead of .bind
- commentify code a bit more
2.5.1
This was the last version of the library to support Bootstrap 2.0.x
- ensure bootbox object is explicitly added to window object for minfier visibility
2.5.0
- add option to specify proper href attributes for buttons instead of callbacks (@StevePotter)
- add option to override per-modal classes (@ciaranj)
2.4.2
- revert
backdrop
default value to ‘static’ instead of true
to prevent background clicks dismissing dialogs (GH-55)
2.4.1
- fix
backdrop
when supplied as an argument to bootbox.dialog
- fix incorrect README version
2.4.0
- add
bootbox.backdrop(bool)
method (@gucki)
- add default parameter option to
bootbox.prompt
(@pzgz)
2.3.3
- add inline
overflow: hidden
CSS property (GH-46)
- move license info to separate hosted file to reduce file size
2.3.2
- Change button href attributes to
javascript:;
(@joshnesbitt)
- Explicitly
window.jQuery
through to Bootbox
object (@nuegon)
2.3.1
- Ensure bootbox.prompt() gives focus to input, disable input autocomplete
2.3.0
- Added bootbox.prompt() to mimic native prompt() method
- Added Russian locale (#27)
2.2.0
- Allowed button callbacks to explicitly return false to prevent dialog from closing (thanks @benoit-ponsero)
- Added version number to header comments (#26)
2.1.2
- Added close button to re-scoped click handler (thanks @SeanMcGee and @kentbrew)
2.1.1
- Fixed incorrect button click handler selector (thanks FGRibreau)
2.1.0
- Added support for Bootstrap’s Glyphicons via the
icon
option
- Added inline license information into bootbox.js and bootbox.min.js
- Tidied up source a little
2.0.1
- Removed dummy Google Closure Compiler method from minified library (thanks j0k3r!)
2.0.0
- Updated Bootstrap dependency from 1.4 to 2.0
- Class definitions now require
btn-
prefix as per Bootstrap 2.0
- Added Brazilian locale
- Added
animate
dialog option
- Added
bootbox.animate(bool)
option to set default animation preference
- Animated dialogs now rely on
bootstrap-transitions.js
as required by Bootstrap 2.0
1.1.2
- Added licensing information to README
1.1.1
1.1.0
- Secondary option of two-button dialog no longer has ‘danger’ class
- New bootbox.modal() method for generic non-dialog popups
- Allow jQuery objects to be passed as main dialog argument


When you handle the on click event from an A tag, the link will not display correct if there is no href attribute. (No pointer in Chrome maybe other browsers too.) If the onclick function returns false the default browser behaviour is cancelled. As such:
Method 1: A Link to Google that is overridden by return onclick false
Reference for Method 2:
http://stackoverflow.com/questions/134845/href-attribute-for-javascript-links-or-javascriptvoid0


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Visiting Coin Change as an Integer-Programming problem
Welcome to my personal page!
I am a Ph.D. candidate in Computer Science and my primary focus is data science and machine learning. I hold a research associate position with the Institute of Informatics and Telecommunications of the National Center for Scientific Research “Demokritos”, where I am involved in international projects.
I work along the Software and Knowledge Engineering Laboratory and I conduct research under the guidance of Dr. Georgios Paliouras. I am mostly interested in machine learning, data mining and NLP. Currently, my focus is graph neural networks and their applications on heterogenous/multi-relational graphs, mainly on bio-related data.
I hold a Diploma (5-years combined B.Sc. and M.Sc.) from the school of Electrical and Computer Engineering at the National Technical University of Athens. My Diploma Thesis was on a content-aware recommender system for movies based on topic modeling of their subtitles. You can find a copy of it in Greek here
Ph.D. Candidate in Computer Science, 2019
NKUA and NCSR 'Demokritos', Athens
Diploma (5-year old, B.Sc + M.Sc combined),in Electrical and Computer Engineering, Grade: 8.05/10 (Thesis 10/10), 2009
National Technical University, Athens, Greece
Research and development for the Knowledge Graph and QA component [2017 - present]
Development (both back- and front-end), user support and maintance of the platform hosting the challenges [2016 - present]
Project proposal and support (2018-present)
Research and development for the Knowledge Graph [2017 - 2018]
I have been providing teaching assistance at the Department of Informatics and Telecommunications for the following courses:


Home
This library is agnostic to the information is receives from Twitch, it delivers you all data in a simple format without any frills. It requires a small amount of effort to produce the behaviour you want compared to similar libraries but it is ultimately still pretty easy honestly.
Installation
This library is available on NPM. Make sure you have Node installed and create a new project, then install the kequtwitch
module.
npm install --save kequtwitch
Usage
In your project require kequtwitch
at the top.
const Twitch = require('kequtwitch');
Create an instance of kequtwitch
passing a valid OAuth token as the first parameter.
const twitch = new Twitch('your-oauth-token');
You are now set up to use the library! If you are on the website please view the sidebar on the right or use Github for further documentation.
Quick start
The easiest way to see the library working is to login to a chatroom. A streamer's channel is their username prepended with #
in lowercase.
const Twitch = require('kequtwitch');
const twitch = new Twitch('your-oauth-token');
(async function init () {
await twitch.chat.connect();
await twitch.chat.join('#channel');
})();
Chat activity will appear in your console.


Events
Spring Framework: Standard and custom events
The concept of Events is fundamental to computer programming and allows us to design components with loose coupling and high cohesion. Spring’s context is highly event driven and exposes this feature for you to listen and react to events as well as fire your own.
Read: wikipedia.org: Event-driven programming Read: stackoverflow.com: What does ‘low in coupling and high in cohesion’ mean Read: spring.io: Application Events and Listeners Read: baeldung.com: Spring Events Read: spring.io: Standard and Custom Events
ApplicationEvent
Spring provides a class called ApplicationEvent to faciliate the processing of events. Your events do not need to extend this class but it is good practice. Its constructor takes a single argument of type Object which is intended to be the source of the event.
What are good Events?
An event source is the Object for which the event is trigger against. For example, say you want to send an E-Mail to every user that signs up for your system. The event would be something like UserSignedUpEvent and the source would be the User object.
Events are things that have happened and they are past tense. UserLoggedInEvent states that a user has already logged in and you’re being notified of the fact. Do not use events in place of direct method invocation, that’s not the idea. They are more about a change to the conceptual design of your application and building a set of components that react to each other in a choreographed way.
Read: stackoverflow.com: Orchestration vs. Choreography Read: thoughtworks.com: Scaling Microservices with an Event Stream
Events are POJO’s
With the except of extending ApplicationEvent for best practice, the event class it self should just be a plain old java object, nothing fancy, just a wrapper of data.
// Model of a simple User
data class User(
var id: Long = 0L,
var username: String = "",
var email: String = ""
)
// Event to be raised when a new user signs up
class UserSignedUpEvent(user: User) : ApplicationEvent(user)
Raising Events with ApplicationEventPublisher
Spring provides a convenient means to raise events with ApplicationEventPublisher. Inject this into any location where you need to raise events and call publish!
@Component
class UserService(
var userRepo: UserRepository,
var appEventPublisher: ApplicationEventPublisher){
/**
* Creates and saves a new user to the database, after succeeding it will
* raise the UserSignedUpEvent for other interested components to react.
*/
fun register(username:String, email:String){
var user = userRepo.save(User(username, email))
applicationEventPublisher.publishEvent(UserSignedUpEvent(user))
}
}
Listening for Events
You can listen for events by either implementing the ApplicationListener interface or by the @EventListener annotation. As always don’t forget that you class must be a Bean or else Spring will not have any control over it (here we are defining @Service).
Either approach is fine but the interface implementation makes it a bit more obvious and easier to search on.
ApplicationListener Interface
@Service
class EmailService : ApplicationListener<UserSignedUpEvent> {
override fun onApplicationEvent(event: UserSignedUpEvent) {
var user = userSignedUpEvent.source as User
// send out the email
}
}
@EventListener Annotation
@Service
class EmailService {
@EventListener
fun sendWelcomeEmail(userSignedUpEvent: UserSignedUpEvent){
var user = userSignedUpEvent.source as User
// send out the email
}
}
Debugging Events
One option to debug events is have Spring print out useful information for you. There two interesting properties that you can set to print out all the registered EventListeners once at the start of the application, and other to have Spring print everytime it is publishing an event.
Put these in your application.properties file.
# Trace the publishing of events (i.e., Publishing event in ...)
logging.level.org.springframework.context.annotation=TRACE
# Print out all the EventListeners at the start of the application.
logging.level.org.springframework.context.event.EventListenerMethodProcessor=TRACE
Async Events
Spring Events are synchronous by default! This something comes as a shock to people but you must realize that making something automatically async is actually quite dangerous.
You can easily make an EventListener asynchronous by using the @Async annotation. Be warned though that there is more to this little annotation and you should understand how it works before using it.
Read: spring.io: Asynchronous Listeners Read: baeldung.com: Spring Async
Transactional Events
Transactions are discussed in another section but it’s important to understand that they play a role with EventListeners. You have the abilitiy to advise Spring on when and how to run your listeners with respect to transaction that may be going on. To do this you essentially swap out @EventListener with @TransactionalEventListener.
An example of this is would be a MailService listener that should send a welcome E-Mail out only after a user has successfully been commited to the database.
Read: dzone.com: Understanding @TransactionalEventListener Read: spring.io: Better application events in Spring Framework 4.2
Ordering of Event Listeners
Ordering things is a rather interesting concept with Spring. When you register multiple things of the same type into the (depending on what it is…) Spring will generally store them as a list in the order that there detected by Spring during component scanning. You have a number of ways to advise Spring on the Order of components but the most abstract approach is to use an @Order annotation.
Read: spring.io: Ordering listeners Read: stackoverflow.com: What is the use of @Order annotation in Spring? Read: javapapers.com: Spring Order Annotation Read: logicbig.com: Controlling Beans Loading Order
Spring Data - Domain Events with @DomainEvents and AbstractAggregateRoot
Spring Data is one of the foundational projects that many other Spring projects are based on. We’ll cover it deeper in another section but there is a really neat feature built-in releated to events.
Spring Data follows the concept of Domain Driven Design and has a concept called Domain Events. Essentially if you have a managed Entity (a special kinda of Bean related to persistence) then Spring Data will look for a field annotated with @DomainEvents and automatically publish those events for you when that Entity is acted upon. Spring Data provides a convenient super class for you to extend with this functionality called AbstractAggregateRoot.
Read: spring.io: Domain event publication from aggregate roots Read: zoltanaltfatter.com: Publishing domain events from aggregate roots
Take an example where you’ve modeled a bidding system where people can Bid on an Auction. I’m going to omit all the JPA annotations for simplicity and showcase the DomainEvents only.
You can see an entire application built with this on our github page called jgBay.
Here are two interesting events:
class BidRemovedEvent(auction: Auction, var bid: Bid): AuctionEvent(auction)
class BidAddedEvent(auction: Auction, var bid: Bid): AuctionEvent(auction)
Notice although we’re adding and removing Bids that the event is actually raised against an Auction. This is because in our modeling the Auction is the Aggregate.
Here is the Auction with the interesting piece of code related to events.
/**
* Models an Auction and inherits from AbstractAggregateRoot to leverage DomainEvents.
*/
@Entity
data class Auction : AbstractAggregateRoot(){
var bids: MutableSet<Bid> = mutableSetOf()
/**
* Add a new bid to this Auction
*/
fun addBid(bid: Bid): Auction {
bid.auction = this
bids.add(bid)
// this comes from AbstractAggregateRoot
// when called it will put BidAddedEvent into the DomainEvents list and
// Spring Data will raise them automatically when this Entity hits the persistence layer.
registerEvent(BidAddedEvent(this, bid))
return this
}
/**
* Remove a bid from this Auction
*/
fun removeBid(bid: Bid): Auction {
bids.remove(bid)
bid.auction = null
registerEvent(BidRemovedEvent(this, bid)) // this comes from AbstractAggregateRoot
return this
}
}
Here is an example use of these methods with a Controller.
@RestController
@RequestMapping("/api/auctions/{id}")
class BidController(val auctionRepo: AuctionRepo){
@PostMapping("/submitBid")
fun submitBid(@PathVariable("id") auction: Auction?, @RequestBody bid: Bid) : Bid {
// omitted validation code
auction.addBid(bid) // this method is show above and it will queue up the BidAddedEvent
auctionRepo.save(auction) // Spring Data will detect the BidAddedEvent and raise it here
}
// other mappings...
}
Now you can react to these just like any other event!
@Service
class BidNotificationService {
// notify previous high bidder that they were just out bid
@EventListener fun notifyOutbidParties(bidAddedEvent: BidAddedEvent){
// code ...
}
}
Spring Integration - ApplicationEventListeningMessageProducer
We cover Spring Integration in another section but it’s important to know that it has support for listening to Spring ApplicationEvents with a component called ApplicationEventListeningMessageProducer.
Read: spring.io: Spring ApplicationEvent Support
Here is an example of defining the event producer.
@Configuration
class EventsIntegrationConfig {
/**
* Listen for the Bid related events and publishes them on a pub/sub channel.
*/
@Bean
fun bidEventsProducer(): ApplicationEventListeningMessageProducer {
val producer = ApplicationEventListeningMessageProducer()
producer.setEventTypes(
BidAddedEvent::class.java,
BidUpdatedEvent::class.java,
BidRemovedEvent::class.java)
producer.setOutputChannelName("bidEventsPubSubChannel")
return producer
}
}


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Marcelo Bielsa admits he has not made friends with any rival managers in England
Bielsa has been at Leeds for 18 months but says he is not pals with any of his rivals
by David Anderson, https://www.mirror.co.uk/authors/david-anderson/Marcelo Bielsa has revealed he has not made friends with any rival managers in England.
Bielsa has been at Leeds for nearly 18 months and claims he is not pals with any other Championship coaches.
The Leeds boss is not helped by his lack of English and his introspective personality.
But he says he appreciates the warm words from Blackburn’s Tony Mowbray and Luton’s Graeme Jones after beating them in Leeds’ last two matches.
“I don’t have a friend regarding managers,” admitted Bielsa.
“But I value a lot what the Blackburn manager said about Leeds. Also I give more value to what he said about my behaviour.
“The Luton manager, I see how every colleague reacts and when you lose a match two minutes before the end and you his reaction, I realise the integrity of the guy.
“In general, what I have noticed regarding opposing managers are the positive things they have said about the work we are doing here.”
Bielsa is more concerned about Leeds than making friends and feels they are still not clinical enough, despite sitting second in the table.
The Argentinian insists they are not scoring enough goals considering the number of chances are creating.
He is not satisfied with their return of 23 goals from 17 games and wants them to improve their conversion rate.
“Yes, we lack efficiency when it comes to taking our chances,” he said.
“In the last match, we needed 16 chances to score two goals and the opponent needed just four chances to score one.
“That means we have a lot to develop yet in our offensive play while we are being punished for every mistake we make in defence.
“What we have to improve is the final ball and we have to pay more attention when he we defend because our opponent needs fewer chances than us to score.”


200. Cracking RSA
time limit per test: 2 sec.
memory limit per test: 65536
KB
input: standard
output: standard
The following problem is somehow related to the final stage of
many famous integer factorization algorithms involved in some cryptoanalytical
problems, for example cracking well-known RSA public key system.
The
most powerful of such algorithms, so called quadratic sieve descendant
algorithms, utilize the fact that if n = pq where p and q are large unknown
primes needed to be found out, then if v2=w2 (mod n), u ≠
v (mod n) and u ≠ -v (mod n), then gcd(v + w, n) is a factor of n (either p or
q).
Not getting further in the details of these algorithms, let us
consider our problem. Given m integer numbers b1, b2, ...,
bm such that all their prime factors are from the set of first t
primes, the task is to find such a subset S of {1, 2, ..., m} that product of
bi for i from S is a perfect square i.e. equal to u2 for
some integer u. Given such S we get one pair for testing (product of S elements
stands for v when w is known from other steps of algorithms which are of no
interest to us, testing performed is checking whether pair is nontrivial, i.e. u
≠ v (mod n) and u ≠ -v (mod n)). Since we want to factor n with maximum possible
probability, we would like to get as many such sets as possible. So the
interesting problem could be to calculate the number of all such sets. This is
exactly your task.
Input
The first line of the input file contains two integers t and
m (1 ≤ t ≤ 100, 1 ≤ m ≤ 100). The second line of the input file contains m
integer numbers bi such that all their prime factors are from t first
primes (for example, if t = 3 all their prime factors are from the set {2, 3,
5}). 1 ≤ bi ≤ 109 for all i.
Output
Output the number of non-empty subsets of the given set
{bi}, the product of numbers from which is a perfect square
Sample test(s)
Input
3 4
9 20 500 3
Output
3
| Author: |
Andrew Stankevich |
| Resource: |
Petrozavodsk Winter Trainings 2003 |
| Date: |
2003-02-06
|
| Server time: 2004-01-14 13:19:00 |
Online Contester Team © 2002 - 2003. All
rights
reserved. | | |


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xml
XMLStarlet Toolkit: Query, edit, check, convert and transform XML documents.
This command also has documentation about its subcommands, e.g. `xml validate`.
More information: home page
- Display general help, including the list of subcommands:
xml --help
- Execute a subcommand with input from a file or URI, printing to `stdout`:
xml subcommand options path/to/input.xml|URI
- Execute a subcommand using `stdin` and `stdout`:
xml subcommand options
- Execute a subcommand with input from a file or URI and output to a file:
xml subcommand options path/to/input.xml|URI > path/to/output
- Display help for a subcommand:
xml subcommand --help
- Display the version of the XMLStarlet Toolkit:
xml --version


{% extends "layout.html" %}
{% block navbar_left %}{% endblock %}
{% block in_head %}
{% if not current_user or current_user.is_authenticated %}
{% endif %}
{% endblock %}
{% block contained %}
{% if current_user and not current_user.is_authenticated %}
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| phenotype | Risteys | category | number of cases | number of cases R3 | number of controls | genome-wide sig loci | genome-wide sig loci R3 | genomic control lambda |
|---|
| phenotype | gene | variants | p-value | beta | ref/alt cases | ref/alt controls |
|---|


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Ruby Email Handler
TMail is an email handler library for Ruby. TMail can extract data from mail, and write data to mail following the relevant RFCs on the subject.
You can get the latest version of TMail from the TMail RubyForge project or via Ruby Gems "tmail"
TMail is written in Ruby and a (very) small bit of supporting C that has pure ruby replacements if you can't compile on your computer. This means TMail will work, out of the box, on any platform that can run Ruby 1.8 or Ruby 1.9.
TMail is a commonly used library and is production ready. The ActionMailer component of Ruby on Rails uses it as well as the the Nitro web framework and many and others - including the Ruby-Talk mail gateway.
What TMail does is allow you to play with Emails like you would any Ruby object. So to change the To address of an email, instead of something like:
my_message = "From<EMAIL_ADDRESS>by.... etc" my_message.sub(/^To: .*?@.*?$/, "To<EMAIL_ADDRESS>Which (a) will break easily and (b) is just not the Ruby-Way™ You can do:
email = TMail::Mail.parse("From<EMAIL_ADDRESS>by.... etc") email['to'] =<EMAIL_ADDRESS>And TMail will take care of the details. Isn't that nicer?
TMail was created by Minero Aoki. It is currently maintained by Mikel and Trans as a RubyForge Project .
For the impatient there is a quickstart guide that will get you up and running with TMail in a few minutes, for the rest, there is the full documentation by RDoc (comming soon) as well as an online user manual (needs updating).
Important Note For Rails and Nitro Users
If you are using the Rails or the Nitro Web Framework, and are reading this page, you probably know that your framework of choice uses TMail as it's email handler library already.
What you may not know, is that if you install the latest TMail gem, your library will use the latest Gem version. Nitro does this because it lists TMail as a dependency, Rails does this because since 2.0RC1, the ActionMailer section of Rails checks for a newer version of the TMail gem as it is loading up and if it finds a Gem version newer than 1.1.0, it will load the Gem version instead of the bundled version.
So to take advantage of the bug fixes, you can do:
$ sudo gem install tmail
And get the latest version installed (1.2) and your web framework will automatically update.
Rails 1.2 can not do this directly, but if you go to the TMail blog, I have written up how to patch ActionMailer 1.2.x to load the gem version of TMail in preference to the bundled version.
News
- 15th of January, 2007 TMail Trunk is now compatible with Ruby 1.9 - Next release (1.2.2) will include this 1.9 compatibility, if you need this now, you can get it by getting the source code with 'svn checkout -r 197 http://tmail.rubyforge.org/svn/trunk/ TMail'
- 11th of January, 2007 New Release - 1.2.1 - Bug fixes on address handling as well as unix mailbox handling. More documentation and tests as well.
- 14th of December, 2007 New RDoc Put online - Fixed up and released a lot more examples and comments for the TMail::Mail class.
- 2nd of December, 2007 New Release - 1.2.0 - bug fixes for Attachments and the pure Ruby version of Scanner
- 19th of November, 2007 Create forward now returns a mail object in trunk
- 8th of November, 2007 New Release - 1.1.1 - bug fixes & Windows/Unix in one Gem
- 30th of October, 2007 New Release - 1.1.0 - Now a Gem!
- 24th of October, 2007 New Release - 0.11.0
- 23rd of October, 2007 TMail Talk Mailing List Created
More TMail News...
Documentation
Documentation is the focus of development right now, so be sure to check back with what is happening. Each new release adds some more documentation to the mix. If you want to help out, please let us know!
In the mean time, you can select from below, you can also always ask questions to the TMail-Talk Mailing list and we will do our best to answer.
Developement
If you want to help with the TMail project, please see our contributing to TMail page.
Right now we could do with a lot of documentation work, dive in and send your patches!
For the impatient, anonymous subversion repository is accessable via:
$ svn checkout http://tmail.rubyforge.org/svn/trunk/ tmail
Use the following links to view or sumbit Bugs, Patches and Feature Requests:


How to Profit From the Electric Car Trend
The “picks and shovels” way to play electric vehicles as the industry continues to build momentum
Meet the Mustang Mach E, Ford’s biggest bet yet on electric vehicles.
It was unveiled this past Sunday. Look for it to be in showrooms next year.
The more important point for investors like you and me is what this new Mustang signifies for the growth of the electric vehicle market.
You see, the major automakers have been producing hybrid and fully-electric cars for years now. But the majority of them have been smaller models. They’ve largely catered to environmentally-conscious buyers, who care less about aesthetics. Frankly, they haven’t been incredibly popular with the majority of U.S. consumers.
From The New York Times:
Over the last 10 years, major automakers have introduced some two dozen electric cars in the United States, and almost all have flopped, mainly because they were aimed at helping manufacturers meet fuel-economy and emissions regulations as easily and inexpensively as possible …
In general, they were slower, less roomy and more expensive than comparable gasoline models, and often rather boring to look at.
Meanwhile, the major automakers cranked out larger, gasoline-powered cars and SUVs that continued to be the favorite of most U.S. auto-buyers.
But Ford’s new Mustang Mach E is evidence of an industry that is evolving. We’re seeing more electric vehicles show up in models and styles that Americans prefer to drive.
In fact, Tesla is expected to make headlines later this week when it unveils an electric pickup truck. Tesla CEO Elon Musk has said the truck would be “better than the (Ford) F-150.” Turns out Ford also is working on an electric F-150, and released video showing a prototype pulling a line of freight cars.
Bottom line — electric vehicles are our future. Adoption will only speed up at this point.
***We’ve been discussing this for months here in the Digest, highlighting various ways to play this trend as investors
One angle we’ve highlighted is batteries. In a Digest from earlier this year, we noted that global automakers are planning on spending huge volumes of money on battery technology in the coming years.
Take Volkswagen/Audi/Porsche — out of $91B going to electric vehicles, batteries alone will see $57B (63%) of that. For Daimler, batteries will get $30B (71%) out of a total spend of $42B. And all of Toyota’s $13.5B is earmarked for batteries.
With this in mind, in today’s Digest, let’s turn to Eric Fry, InvestorPlace’s global macro specialist. Specifically, let’s look at a fascinating, “back door” way to play this EV dependence on batteries.
After all, wouldn’t you sleep better at night if you weren’t worried about whether you’d picked the right electric automaker, but instead, had invested in something that will be in demand by all automakers?
***What powers the batteries that power electric cars?
Let’s see how well you know your commodities.
The results of the 2019 LME Metals Seminar poll are in (which, undoubtedly, you’ve been anxiously awaiting for months …). Which metal took the prize as most likely to shine in 2020?
Though gold is a good guess (and came in second), the winner is nickel.
Eric tells us that while we shouldn’t put a great deal of weight on this poll, it underscores nickel’s growing importance to the electric vehicle trend.
From Eric’s most recent issue of Fry’s Investment Report:
Nickel has become the “it” metal of the base metals sector … and nickel’s growing popularity can trace its source to the growing popularity of electric vehicles (EVs) and other battery-based technologies.
During the first half of 2019, for example, the global EV industry absorbed about 27,350 tonnes of nickel — a whopping 79% year-over-year increase.
This surging demand results not only from growing EV production worldwide, but also from rising “nickel intensity” per EV. Because EV manufacturers are using higher-nickel cathode chemistries in their battery packs, the average amount of nickel per EV jumped 42% year-over-year, from 8.2 kilograms (kgs) per vehicle last year to 11.6 kg now.
Eric goes on to tell us that nickel prices have surged in recent months, thanks to this swelling demand from the EV industry, coupled with temporary supply constraints from Indonesian nickel mines.
As global stockpiles dropped, there was a record-breaking drawdown of nickel inventory on the London Metals Exchange.
Below, you can see the inverse relationship between nickel reserves (the orange line) and the metal’s price (the blue line).
Note the steep decline in reserves over the last couple years, that has helped pushed the price per tonne from $10,000 to more than $15,000.
Eric tells us that the pace of withdrawals has slowed in recent days, but stockpiles remain near their lowest levels in more than a decade.
***What’s behind nickel’s more recent pullback?
Looking back at the chart above, you can see a sharp reversal in nickel’s price very recently.
Here’s Eric on what’s behind this:
Nickel has fallen almost 15% from its September peak, as concerns about supply constraints eased.
Since September, the nickel market has come under selling pressure. And this downward pressure may persist for a while.
But in the nickel market, EVs and battery technology are the new kids in town. As their influence grows, it will likely put continued upward pressure on the nickel price.
Eric isn’t the only one who sees nickel’s price rising. Reuters recently reported that nickel will see greater demand in coming years as batteries contain greater volumes of nickel.
Originally, cathodes comprised one part nickel, one part cobalt, and one part manganese. But cathodes with 80% nickel are expected to dominate the industry in the coming years as technologies advance.
One consultancy predicts that as electric vehicle sales climb, nickel demand from the battery sector will rise nearly 10% in roughly the next two years.
***So, how could investors play this?
One stock that closely tracks the price of nickel is PJSC MMC Norilsk Nickel (NILSY). Eric tells us this Russian company is the world’s largest publicly traded “pure play” on nickel.
Below is NILSY’s 12-month chart. You can see how, despite the recent pullback in November, its trend is still decidedly up. In fact, even after this pullback, it’s still up nearly 55%.
Whether a pure-play nickel investment is right for you or not, the broader point remains — expect major growth from the electric vehicle market.
As Ford’s chairman, William C. Ford Jr., recently said in an interview:
Technology has enabled us to deliver finally what people really want. We have reached a point where customers don’t have to make trade-offs.
But why gamble on which major automaker will win the “electric” war? Why not invest in the specific commodity that will power the war itself, independent of who wins or loses?
We’ll keep you updated here in the Digest.
Have a good evening,
Jeff Remsburg


Furniture Classifier
with Tensorflow.js
This demo loads a Deep Learning model able to classify furniture images into one of 128 categories. Choose an image or select one from your own computer to see the model running predictions in real-time in your browser!


Open Data Visualizations
Historic Site Visits - vis.js
Historic Site Visits - Chart.js
Collision Data
Collision Data 2


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Installation¶
Before you can start using SchemaSpy you must to have installed two things in your system enviroment.
Java 8¶
Downloads instructions for all operating systems you can find https://java.com/en/download/manual.jsp
Graphvize¶
- Windows
The easiest way to install Graphvize is download msi package from http://www.graphviz.org/Download_windows.php
Warning
Remember to add folder contains Graphvize dot.exe application to your system PATH variablev eg.
C:\Program Files (x86)\Graphviz2.38\bin
- Linux, Mac OS
If you are using Linux or Mac OS please read cerefully detailded instruction how to install Graphvize on your os version http://www.graphviz.org/Download.php.


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Sharing fields
Introduction
Often, you will have a similar set of fields returned or used by multiple endpoints.
Flappi has no specific mechanism to share fields, but you can easily do this using regular Ruby.
Example
In Nesting structures in a response we worked with a Cheese
type.
We now add a similar Chocolate
type, which also has package
and name
fields:
{
name: 'Milky Way',
milk: true,
cocoa_percent: 10,
package: { weight_grams: 100, price: 2.20 }
}
To save repeating ourselves, we can modify the Cheese
definition to extract the shared fields:
module ApiDefinitions
module Cheeses
include Flappi::Definition
include CommonApi
def endpoint
title 'List available cheeses'
...
end
# Build a record with each result from the table
# This will call Cheese.where()
def respond
build type: Cheese do
objects :cheeses, doc: 'List of cheeses' do
field :soft, type: BOOLEAN
field :cheese_type
common_fields
end
end
end
end
end
and create a module and method for the shared fields
module CommonApi
def common_fields
field :name
object name: package, type: Package do
field :weight, source: :weight_grams, type: Integer
field :price, type: BigDecimal
end
end
end
Note that we don't generally need to pass values into the shared method.
We can now use this to implement Chocolates
:
module ApiDefinitions
module Chocolates
include Flappi::Definition
include CommonApi
def endpoint
title 'List available chocolates'
...
end
def respond
build type: Cheese do
objects :chocolates, doc: 'List of chocolates' do
field :milk, type: BOOLEAN
field :cocoa_percent, type: Float
common_fields
end
end
end
end
end
Sharing parameters
We can share parameters in the same way as fields:
module CommonApi
def common_params
param :name, doc: 'The name of the product'
end
...
end
and use this as:
module ApiDefinitions
module CheesesCreate
include Flappi::Definition
include CommonApi
def endpoint
title 'Create a cheese'
...
common_params
end
...
end
end
and similarly to make an endpoint to create chocolates.


The more you consider having a Cafe Area that you can’t have any Cafe in makes you mad. You ask for some blank paper and make some protest signs and start a protest in the Cafe Area.
Cafe means Food! Food Lives Matter! I have the right to use a straw! you yell!
 They were also nice enough to bring your signs so you can hang them on your wall in the institution you are going to.


Coverage Summary for Class: Probabilities (opennlp.tools.ml.naivebayes)
| Class | Class, % | Method, % | Line, % |
|---|---|---|---|
| Probabilities | 100% (1/ 1) | 11.1% (2/ 18) | 6.5% (5/ 77) |
1 /*
2 * Licensed to the Apache Software Foundation (ASF) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * The ASF licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17
18 package opennlp.tools.ml.naivebayes;
19
20 import java.util.ArrayList;
21 import java.util.HashMap;
22 import java.util.List;
23 import java.util.Map;
24 import java.util.Map.Entry;
25 import java.util.Set;
26
27 /**
28 * Class implementing the probability distribution over labels returned by a classifier.
29 *
30 * @param <T> the label (category) class
31 *
32 */
33 public abstract class Probabilities<T> {
34 protected Map<T, Double> map = new HashMap<>();
35
36 protected transient boolean isNormalised = false;
37 protected Map<T, Double> normalised;
38
39 protected double confidence = 0.0;
40
41 /**
42 * Assigns a probability to a label, discarding any previously assigned probability.
43 *
44 * @param t the label to which the probability is being assigned
45 * @param probability the probability to assign
46 */
47 public void set(T t, double probability) {
48 isNormalised = false;
49 map.put(t, probability);
50 }
51
52 /**
53 * Assigns a probability to a label, discarding any previously assigned probability.
54 *
55 * @param t the label to which the probability is being assigned
56 * @param probability the probability to assign
57 */
58 public void set(T t, Probability<T> probability) {
59 isNormalised = false;
60 map.put(t, probability.get());
61 }
62
63 /**
64 * Assigns a probability to a label, discarding any previously assigned probability,
65 * if the new probability is greater than the old one.
66 *
67 * @param t the label to which the probability is being assigned
68 * @param probability the probability to assign
69 */
70 public void setIfLarger(T t, double probability) {
71 Double p = map.get(t);
72 if (p == null || probability > p) {
73 isNormalised = false;
74 map.put(t, probability);
75 }
76 }
77
78 /**
79 * Assigns a log probability to a label, discarding any previously assigned probability.
80 *
81 * @param t the label to which the log probability is being assigned
82 * @param probability the log probability to assign
83 */
84 public void setLog(T t, double probability) {
85 set(t, Math.exp(probability));
86 }
87
88 /**
89 * Compounds the existing probability mass on the label with the new probability passed in to the method.
90 *
91 * @param t the label whose probability mass is being updated
92 * @param probability the probability weight to add
93 * @param count the amplifying factor for the probability compounding
94 */
95 public void addIn(T t, double probability, int count) {
96 isNormalised = false;
97 Double p = map.get(t);
98 if (p == null)
99 p = 1.0;
100 probability = Math.pow(probability, count);
101 map.put(t, p * probability);
102 }
103
104 /**
105 * Returns the probability associated with a label
106 *
107 * @param t the label whose probability needs to be returned
108 * @return the probability associated with the label
109 */
110 public Double get(T t) {
111 Double d = normalize().get(t);
112 if (d == null)
113 return 0.0;
114 return d;
115 }
116
117 /**
118 * Returns the log probability associated with a label
119 *
120 * @param t the label whose log probability needs to be returned
121 * @return the log probability associated with the label
122 */
123 public Double getLog(T t) {
124 return Math.log(get(t));
125 }
126
127 /**
128 * Returns the probabilities associated with all labels
129 *
130 * @return the HashMap of labels and their probabilities
131 */
132 public Set<T> getKeys() {
133 return map.keySet();
134 }
135
136 /**
137 * Returns the probabilities associated with all labels
138 *
139 * @return the HashMap of labels and their probabilities
140 */
141 public Map<T, Double> getAll() {
142 return normalize();
143 }
144
145 private Map<T, Double> normalize() {
146 if (isNormalised)
147 return normalised;
148 Map<T, Double> temp = createMapDataStructure();
149 double sum = 0;
150 for (Entry<T, Double> entry : map.entrySet()) {
151 Double p = entry.getValue();
152 if (p != null) {
153 sum += p;
154 }
155 }
156 for (Entry<T, Double> entry : temp.entrySet()) {
157 T t = entry.getKey();
158 Double p = entry.getValue();
159 if (p != null) {
160 temp.put(t, p / sum);
161 }
162 }
163 normalised = temp;
164 isNormalised = true;
165 return temp;
166 }
167
168 protected Map<T, Double> createMapDataStructure() {
169 return new HashMap<>();
170 }
171
172 /**
173 * Returns the most likely label
174 *
175 * @return the label that has the highest associated probability
176 */
177 public T getMax() {
178 double max = 0;
179 T maxT = null;
180 for (Entry<T, Double> entry : map.entrySet()) {
181 final T t = entry.getKey();
182 final Double temp = entry.getValue();
183 if (temp >= max) {
184 max = temp;
185 maxT = t;
186 }
187 }
188 return maxT;
189 }
190
191 /**
192 * Returns the probability of the most likely label
193 *
194 * @return the highest probability
195 */
196 public double getMaxValue() {
197 return get(getMax());
198 }
199
200 public void discardCountsBelow(double i) {
201 List<T> labelsToRemove = new ArrayList<>();
202 for (Entry<T, Double> entry : map.entrySet()) {
203 T label = entry.getKey();
204 Double sum = entry.getValue();
205 if (sum == null) sum = 0.0;
206 if (sum < i)
207 labelsToRemove.add(label);
208 }
209 for (T label : labelsToRemove) {
210 map.remove(label);
211 }
212 }
213
214 /**
215 * Returns the best confidence with which this set of probabilities has been calculated.
216 * This is a function of the amount of data that supports the assertion.
217 * It is also a measure of the accuracy of the estimator of the probability.
218 *
219 * @return the best confidence of the probabilities
220 */
221 public double getConfidence() {
222 return confidence;
223 }
224
225 /**
226 * Sets the best confidence with which this set of probabilities has been calculated.
227 * This is a function of the amount of data that supports the assertion.
228 * It is also a measure of the accuracy of the estimator of the probability.
229 *
230 * @param confidence the confidence in the probabilities
231 */
232 public void setConfidence(double confidence) {
233 this.confidence = confidence;
234 }
235
236 public String toString() {
237 return getAll().toString();
238 }
239
240 }


Hi, my name is Brendan Kim. I am currently 23 years young and I live in Fullerton, California. Some of my favorite things to do include listening to music, watching movies, and playing basketball.