public class Cursor
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static int |
CURSOR_8_BIT_ALPHA
8 bit alhpa native cursor
|
static int |
CURSOR_ANIMATION
animation native cursor
|
static int |
CURSOR_ONE_BIT_TRANSPARENCY
1 bit transparency for native cursor
|
| Constructor and Description |
|---|
Cursor(int width,
int height,
int xHotspot,
int yHotspot,
int numImages,
java.nio.IntBuffer images,
java.nio.IntBuffer delays)
Constructs a new Cursor, with the given parameters.
|
| Modifier and Type | Method and Description |
|---|---|
void |
destroy()
Destroy the native cursor.
|
static int |
getCapabilities()
Get the capabilities of the native cursor.
|
static int |
getMaxCursorSize()
Gets the maximum size of a native cursor.
|
static int |
getMinCursorSize()
Gets the minimum size of a native cursor.
|
protected boolean |
hasTimedOut()
Determines whether this cursor has timed out
|
protected void |
nextCursor()
Changes to the next cursor
|
protected void |
setTimeout()
Sets the timout property to the time it should be changed
|
public static final int CURSOR_ONE_BIT_TRANSPARENCY
public static final int CURSOR_8_BIT_ALPHA
public static final int CURSOR_ANIMATION
public Cursor(int width, int height, int xHotspot, int yHotspot, int numImages, java.nio.IntBuffer images, java.nio.IntBuffer delays) throws LWJGLException
width
- cursor image widthheight
- cursor image heightxHotspot
- the x coordinate of the cursor hotspotyHotspot
- the y coordinate of the cursor hotspotnumImages
- number of cursor images specified. Must be 1 if animations are not supported.images
- A buffer containing the images. The origin is at the lower left corner, like OpenGL.delays
- An int buffer of animation frame delays, if numImages is greater than 1, else nullLWJGLException
- if the cursor could not be created for any reasonpublic static int getMinCursorSize()
public static int getMaxCursorSize()
public static int getCapabilities()
public void destroy()
protected void setTimeout()
protected boolean hasTimedOut()
protected void nextCursor()
Copyright © 2002-2010 lwjgl.org. All Rights Reserved.


Package org.drip.sample.numerical
Search, Quadratures, Fourier Phase Tracker
- Author:
- Lakshmi Krishnamurthy
-
Class Summary Class Description BinaryDigitCount BinaryDigitCount illustrates the Estimation of the Binary Digit Count for the Set of Integers.FixedPointSearch FixedPointSearch contains a sample illustration of usage of the Root Finder Library.IntegerDivision IntegerDivision shows the Division of Two Integers without using Multiplication, Division, and Mod Operator.IntegerPower IntegerPower shows the Computation of the Integer Power of a Number.IntegrandQuadrature IntegrandQuadrature shows samples for the following routines for integrating the objective function: - Mid-Point Scheme - Trapezoidal Scheme - Simpson/Simpson38 schemes - Boole Scheme
Module = Computational Core Module Library = Numerical Analysis Library Project = DROP API Construction and Usage Package = Search, Quadratures, Fourier Phase TrackerPhaseTrackerComparison PhaseTrackerComparison demonstrates the Log + Power Complex Number Phase Correction Functionality implemented by three different ways for the calculation of the Inverse Fourier Transforms.PrimeFactorEstimator PrimeFactorEstimator shows samples for estimating the Prime Factor of a given Integer.UglyNumber UglyNumber shows the Computation of the nth Ugly Number for the Input Number Triplet.


---
layout: page
title: Further reading
permalink: /parents/further-reading/
main_image_path:
main_image_caption:
frontpage: false
homepage_description_markdown:
frontpagetitle:
frontpageorder_number:
aside: true
accordions:
- accordion_title: Books
accordion_markdown: >-
We recommend the following books:
**For Parents…**
There is an amazing, brilliant book, which we think should be issued to
all parents for free on the birth of their first child\!
* [How to Talk so Kids Will Listen and Listen so Kids Will
Talk](https://www.amazon.co.uk/How-Talk-Kids-Will-Listen/dp/1848123094/ref=sr_1_2?crid=322K205C0PRXG&keywords=how+to+talk+so+kids+will+listen+and+listen+so+kids+will+talk&qid=1555061916&s=books&sprefix=how+to+talk+so%2Cstripbooks%2C134&sr=1-2)
* [How To Talk So Little Kids Will Listen: A Survival Guide to Life with
Children Ages
2-7 ](https://www.amazon.co.uk/Talk-Little-Kids-Will-Listen-ebook/dp/B01LZYOXLZ/ref=sr_1_1?s=books&ie=UTF8&qid=1545225554&sr=1-1&keywords=how+to+talk+so+little+kids+will+listen+and+listen+so+kids+will+talk)
* [How To Talk So Teens Will Listen and Listen so Teens Will
Talk ](https://www.amazon.co.uk/How-Talk-Teens-will-Listen/dp/1853408573/ref=sr_1_3?crid=3LX7EBYBIHZ15&keywords=how+to+talk+so+kids+will+listen+book&qid=1576676882&sprefix=how+to+talk%2Caps%2C156&sr=8-3)
**For Parents With an Anxious Child…**
For parents with children 11 years and older:
* [My Anxiety Handbook: Getting Back on
Track](https://www.amazon.co.uk/My-Anxiety-Handbook-Getting-Track-ebook/dp/B075JSPG9M/ref=sr_1_1?ie=UTF8&qid=1536919529&sr=8-1&keywords=gallagher+anxiety)
For parents with children under 11:
* [Coping with an Anxious or Depressed Child: A CBT Guide for Parents and
Carers](https://www.amazon.co.uk/Coping-Anxious-Depressed-Child-Oneworld-ebook/dp/B005KR0MU6/ref=sr_1_1?s=digital-text&ie=UTF8&qid=1536919568&sr=1-1&keywords=cartwright-hatton+anxiety)
For parents with children of any age:
* [Overcoming Your Child's Fears and
Worries](https://www.amazon.co.uk/Overcoming-Childs-Fears-Worries-Books-ebook/dp/B0097AY62M/ref=sr_1_1?s=digital-text&ie=UTF8&qid=1536919605&sr=1-1&keywords=creswell+anxiety)
* [Overcoming Your Child's Shyness and Social
Anxiety](https://www.amazon.co.uk/Overcoming-Childs-Shyness-Social-Anxiety-ebook/dp/B0097AXXSU/ref=sr_1_2?s=digital-text&ie=UTF8&qid=1536919605&sr=1-2&keywords=creswell+anxiety)
**General reading… **
* [Quiet’ by Susan
Cain.](https://www.amazon.co.uk/Quiet-Power-Introverts-World-Talking/dp/0141029196/ref=sr_1_1?crid=38J977ZPQM736&keywords=quiet+susan+cain&qid=1576676118&sprefix=quiet%2Caps%2C148&sr=8-1)
*This
is a great book for anyone who is a quiet person. It’s a celebration of
shyness and will make you feel proud to be an introvert\!*
- accordion_title: Websites
accordion_markdown: >-
**Advice for Parenting with a Mental Illness…**
* [MIND](https://www.youtube.com/watch?v=WHpHP4HFRT4) - Parenting with a
mental health problem \| Talking about mental health.
*
[MIND](https://www.mind.org.uk/information-support/tips-for-everyday-living/parenting-with-a-mental-health-problem/#.XKSpBJhKjIX)
- Parenting with a mental health problem \| How might my mental health
problem affect me?
* [Children of Parenting with a Mental Illness
(COPMI)](http://www.copmi.net.au/parents/parenting-with-a-mental-illness)
- Parenting with a Mental Illness
* [Anxiety UK](https://www.anxietyuk.org.uk/) - Advice and
Support
*
[RaisingChildren.net ](https://raisingchildren.net.au/grown-ups/family-diversity/parents-like-me/parenting-with-mental-illness){:
target="_blank"}\- Parenting with a mental illness
- accordion_title: Articles
accordion_markdown: >-
* [Better Health "Parenting and
Stress"](https://www.betterhealth.vic.gov.au/health/HealthyLiving/parenting-and-stress)
* [Child Mind Institute Article "How to avoid passing anxiety on to your
kids" ](https://childmind.org/article/how-to-avoid-passing-anxiety-on-to-your-kids/)
* [Huffington Post article "The Anxious
Parent" ](https://www.huffingtonpost.co.uk/danielle-mantonkelly/the-anxious-parent_b_14789456.html)
* [Counselling Directory "How parental stress affects
children" ](https://www.counselling-directory.org.uk/blog/2018/05/14/parental-stress-impacts-children/)
* [Young Minds - Parenting with a mental
illness](https://youngminds.org.uk/find-help/for-parents/parents-guide-to-support-a-z/parents-guide-to-support-parental-mental-illness/)
* [Parenting NI - Parental Mental
Health](https://www.parentingni.org/family-wellness-project/family-resources/parental-mental-health/)
-
_options:
layout:
hidden: true
permalink:
hidden: true
image_path:
uploads_dir: 'assets/images/:year'
width: 1200
height: 1200
resize_style: contain
mime_type: image/jpeg
main_image_path:
uploads_dir: 'assets/images/:year'
width: 1200
height: 1200
resize_style: contain
mime_type: image/jpeg
content:
uploads_dir: 'assets/:year'
_comments:
title: Page title
main_image_path: Image used to represent your page
frontpage: Show this page on the homepage
homepage_description_markdown: Text used on homepage if shown
frontpagetitle: Alternative title for home page use
accordions: Edit your Accordion sections
---


On 2 May 2016, the Ministry of Health of Peru reported 57 cases of Oropouche fever. The majority of cases are from towns located in the northern part of the Cusco Region, which is situated in the Amazon rainforest.
Most cases (79%) were detected in January, with only 7% and 14% of the cases being identified in February and March, respectively. To date, there have been no fatalities and all cases have recovered following symptomatic treatment.
In February 2016, a field mission to the Madre de Dios Region conducted jointly by the MoH of Peru and PAHO/WHO revealed a mixed outbreak of dengue (DENV-2) and Oropouche viruses. While Madre de Dios already experienced an outbreak of Oropouche fever in 1994, at the time of the mission in February, this latest outbreak was of a higher magnitude (120 confirmed cases).
Peruvian health authorities have implemented the following public health measures:
Cases of infection with Oropouche virus have already been reported in the past in Peru. However, it is the first time that the Cusco Region records cases of Oropouche fever. It will be critical to establish whether the competent vector, the Culicoides paraensis midge, is present in Cusco as that could provide some explanation for the emergence of the disease in this specific area. At present, the possibility of further cases being detected in the Cusco Region and in the rest of Peru cannot be excluded. Given the wide geographical distribution of the competent vector in the Region of the Americas, the risk of cases being identified in other countries is significant. WHO continues to monitor the epidemiological situation and conduct risk assessments based on the latest available information.
Given its clinical presentation, Oropouche fever should be included in the clinical differential diagnosis for other common arboviral diseases (e.g., chikungunya, dengue, yellow fever, Zika virus).
The proximity of midge vector breeding to human habitation is a significant risk factor for Oropouche virus infection. Prevention and control relies on reducing the breeding of midges through source reduction (removal and modification of breeding sites) and reducing contact between midges and people. This can be achieved by reducing the number of natural and artificial water-filled habitats that support midge larvae, reducing the adult midge populations around at-risk communities and by using barriers such as insect screens, closed doors and windows, long clothing and repellents.
Oropouche fever is caused by the Oropouche virus. In humans, it is transmitted primarily through the bite of the Culicoides paraensis midge. No direct transmission of the virus from human to human has been documented.
Oropouche fever causes symptoms similar to those of dengue with an incubation period of 4-8 days (range: 3-12 days). Symptoms include the sudden onset of high fever, headache, myalgia, joint pain, and vomiting. In some patients it can cause clinical symptoms of aseptic meningitis.
In the Americas, outbreaks of Oropouche fever virus have been reported from rural and urban communities of Brazil, Ecuador, Panama, Peru, and Trinidad and Tobago.


Before Change
items = list(self._accumulators.items())
names_to_delete = set()
for name, accumulator in items:
try:
accumulator.Reload()
except (OSError, IOError) as e:
tf.logging.error("Unable to reload accumulator "%s": %s", name, e)
except directory_watcher.DirectoryDeletedError:
names_to_delete.add(name)
with self._accumulators_mutex:
for name in names_to_delete:
tf.logging.warning("Deleting accumulator "%s"", name)
del self._accumulators[name]
After Change
// Methods of built-in python containers are thread-safe so long as the GIL
// for the thread exists, but we might as well be careful.
names_to_delete = set()
names_to_delete_mutex = threading.Lock()
def Worker():
Keeps reloading accumulators til none are left.
while True:


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WAIT FOR IT TO LOAD (might even take a minute or so)...
All US flights September to November 2001 grouped by Origin and Destination (total number of flights
???
)
Origin:
Destination:


| Select Language: |
Saturday Vigil Mass:
Sunday Mass:
Daily Masses:
8:00 am, 10:00 am & 6:00 pm. No Vigil Mass
Times:
Rosary
Novena to Our Lady of Perpetual Help
Divine Mercy Chaplet
First Friday Adoration
Tuesdays:
Craft Room:
Phone Number:
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Saturdays:
September 2016 thru May 2017
Tuesdays:
Patricia Maher Phone Number:
954-261-8684
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3rd Degree 2nd & 4th Tuesday:
William Rodriguez Phone Number:
646-321-3364
3rd Tuesday of the Month:
September thru May
Flo McGrath Phone Number:
954-227-8330
Tuesday:
Mass Saturday
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954-729-8397
Tuesday:
September thru May
Fred Schweitzer Phone Number:
954-973-0454
2nd & 4th Monday:
Diane Hebisen Phone Number:
954-213-4690
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August thru June
William Rodriguez Phone Number:
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Brian P. Adams
About Me
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Contact Information
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thebadams
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Email
<EMAIL_ADDRESS>Resume
Click To Download
Phone Number
(732)-947-6927


--- layout: post title: "One Last Song Trailer" --- Link to the video on YouTube. One Last Song #1 is available in the February 2007 edition of Previews. Use code FEB073275 at your local comic book shop or online to order.


Admissions
The school adopts the following admission procedure. These are the following steps for the admission process.
- Admission will be confirmed only after the student's assessment is done thr0ugh a written test. The assessment will be based on the knowledge of the student's previous class.
- Well educated, cultured and Intellectual parents will be required to share their views about the child in written form.
- The student and both the parents together will be required for the admission procedure.
- Parent will be informed about the admission confirmation through a phone call, after evaluating the assessment of the student.
Documents needed
- Original birth certificate(applicable to only 1st Std)
- Leaving certificate (applicable to 2nd to 10th Std)
- Report card of last attended school.
- Caste certificate if needed.
- Passport size photos of parents (one each), Students (3 each)
Fees Payment
- Payment of fees will be done through challan after the confirmation of admission.
Join Us 1,128 students enrolled


From Caffe to Keras - VGG16 example
Caffe is really famous due to its incredible collection of pretrained model called ModelZoo. Keras has also some pretrained models in Imagenet: Xception, VGG16, VGG19, ResNet50 and InceptionV3. However, it would be awesome to add the ModelZoo pretrained networks to Keras. In this tutorial I will explain my personal solution to this problem without using any other tool, just using Caffe, Keras and Python. BTW, I use the Theano background in this tutorial.
First step: getting the weights
You can extract the weights in various formats from Caffe, I selected HDF5 format because it’s easy to use and has the HDF5View tool to visualize what are you actually saving. We need Caffe and PyCaffe installed. Use the following code in Python to create first the Caffe model and then to save the weights as an HDF5 file:
netname = 'vgg16.prototxt'
paramname = 'vgg16.caffemodel'
net = caffe.Net(netname, paramname, caffe.TEST)
net.save_hdf5('/home/adrian/project/caffedata.h5')
Second step: create the model
This is the easy step: I just downloaded the model from Keras and adapted it: I added the ZeroPadding2D that was missing, I changed the ‘border_mode’ parameter to ‘valid’ instead of ‘same’ and I added the 2 Dropout between the fully connected layers.
Third step: copying the weights to the model
This is where things get complicated. Both Caffe and Theano have some differences, so we have to make some tweaks in the weights. I create the VGG16 model first:
channels, width, height = ..., ..., ...
data = Input(shape=(channels, width, height), dtype='float32', name='input')
vgg16 = VGG16(weights=None, include_top=True, input_tensor=data, classes=101)
x = vgg16.output
I have no interest in the weights so I use None. Make sure you include the top (fully connected layers), that you specify if needed the new input shape by passing a value to the input_tensor variable and the amount of classes if you are in a different problem. To copy the weights this is code is used:
layerskeras = ['block1_conv1', 'block1_conv2', 'block2_conv1', 'block2_conv2', 'block3_conv1', 'block3_conv2', 'block3_conv3', 'block4_conv1', 'block4_conv2', 'block4_conv3', 'block5_conv1', 'block5_conv2', 'block5_conv3', 'fc1', 'fc2', 'predictions']
layerscaffe = ['conv1_1', 'conv1_2', 'conv2_1', 'conv2_2', 'conv3_1', 'conv3_2', 'conv3_3', 'conv4_1', 'conv4_2', 'conv4_3', 'conv5_1', 'conv5_2', 'conv5_3', 'fc6', 'fc7', 'fc8']
i = 0
h5 = h5py.File('/home/anunez/project/caffedata.h5')
for layer in layerscaffe[:-3]:
w2, b2 = h5['data'][layer]['0'], h5['data'][layer]['1']
w2 = np.transpose(w2, (0,1,2,3))
w2 = w2[:, :, ::-1, ::-1]
b2 = np.asarray(b2)
model.get_layer(layerskeras[i]).W.set_value(w2)
model.get_layer(layerskeras[i]).b.set_value(b2)
i += 1
for layer in layerscaffe[-3:]:
w2, b2 = h5['data'][layer]['0'], h5['data'][layer]['1']
w2 = np.transpose(w2,(1,0))
b2 = np.asarray(b2)
model.get_layer(layerskeras[i]).W.set_value(w2)
model.get_layer(layerskeras[i]).b.set_value(b2)
i += 1
I will explain this code little by little. In general:
- First, I have 2 arrays of layer names. If you change the layer names in the VGG16 of Keras to adapt it to Caffe’s names you can skip this.
- Then, we will do 2 loops: one for the convolutional layers and the other for the fully connected layers.
The first loop goes loading the weights we saved in the ‘caffedata.h5’ file into the variables w2 and b2 (weights and biases, respectively). First important change: remember the image dimensions ordering: we have to use a transpose operation of the numpy module (previously called permute) to get the correct permutation of dimensions. We also need to flip the values of the dimensions width and height. I found this explanation in this post. Check it out for more details.
Next, we cast b2 to a numpy array so that both w2 and b2 have the same format. To set this weights we use the ‘get_layer’ function of the model (with the name in Keras), get the parameter (W or b) and use ‘set_value’ to set our weights.
Now we only need to do more or less the same for the fully connected layer. In this case, we only need to swap the dimensions of w2 (remember that it only has 2 dimensions) and set them like in the previous loop.
To make it work remember that you have to compile your model!


| Note1: If WKADRMEN (UART_WKUPEN[4])is enabled, the wake-up function is generated. | ||
| Note2: This field is used for RS-485 function mode and ADDRDEN (UART_ALT_CSR[19]) is set to 1 to enable Address detection mode . | ||
| Note2: This bit is read only, but can be cleared by writing '1' to it. |


public @interface ContextModule
If this annotation is not present then the name will be derived as the "top level package name" e.g. "org.example.featuretoggle"
Typically there is a single bean context per Jar (module). In that sense the name is the "module name" and the dependsOn specifies the names of modules that this depends on (provide beans that are used to wire this module).
This annotation is typically placed on a top level interface or package-info in the module.
package org.example.featuretoggle;
import io.dinject.ContextModule;
@ContextModule(name = "feature-toggle")
public interface FeatureToggle {
boolean isEnabled(String key);
}
We specify dependsOn
when we have a module that depends on beans that
will be supplied by another module (jar).
In the example below we have the "Job System" which depends on the common "Feature Toggle" module. When wiring the Job system module we expect some beans to be provided by the feature toggle module (jar).
package org.example.jobsystem;
import io.dinject.ContextModule;
@ContextModule(name = "job-system", dependsOn = {"feature-toggle"})
public interface JobSystem {
...
}
public abstract String[] provides
These names are an addition to the module name and can be used in the dependsOn
of other modules.
// A module that provides 'email-service' and also 'health-check'.
// ie. it has bean(s) that implement a health check interface
@ContextModule(name="email-service", provides={"health-checks"})
// provides beans that implement a health check interface
// ... wires after 'email-service'
@ContextModule(name="main", provides={"health-checks"}, dependsOn={"email-service"})
// wire this after all modules that provide 'health-checks'
@ContextModule(name="health-check-service", dependsOn={"health-checks"})
public abstract String[] dependsOn
Effectively dependsOn specifies the modules that must wire before this module.
// wire after a module that is called 'email-service'
// ... or any module that provides 'email-service'
@ContextModule(name="...", dependsOn={"email-service"})
Copyright © 2020. All rights reserved.


CrimPapers
Articles published on 28 September 2018
On 28 September 2018, 12 new articles were published in 10 journals.
Telling Stories of Terrorism: A Framework For Applying Narrative Approaches to the Study of Militant's Self-Accounts by Simon Copeland
Life in the Fast Lane: Drugs, Hedonistic Lifestyles, and Economic Crime by Richard B. Felson, D. Wayne Osgood, Patrick R. Cundiff, Craig Wiernik
Developing A Knowledge Base For Crime Prevention: Lessons Learned From the British Experience
Use of Self‐reported Psychopathy Assessments With Older Adults: An Update on Evaluation of Their Psychometrics For People Over 60 years by Katherine J.holzer
,
michael G.vaughn
Improving Case Plans and Interventions For Adolescents on Probation: the Implementation of the Savry and A Structured Case Planning Form by Jodi L. Viljoen, Catherine S. Shaffer, Nicole M. Muir, Dana M. Cochrane, Etta M. Brodersen
Outcome Effects on Recidivism Among Drug Court Participants by Benjamin R. Gibbs, Robert Lytle, William Wakefield
The Impact of Alcohol Consumption on Homicide: A Time-Series Analysis of Three Nordic Countries by Martti Lehti, Reino Sirén
Over- and Underreporting of Drug Use: A Cross-National Inquiry of Social Desirability Through the Lens of Situational Action Theory
Public Confidence in the Police: Tests of Instrumental and Expressive Models in A Developing Country City by Louis Kusi Frimpong, Martin Oteng-Ababio, George Owusu, Charlotte Wrigley-Asante
Co-Production of Cybersecurity: A Case of Reported Data System Break-Ins by Anna Leppänen, Terhi Kankaanranta
Assessing Transmission and Translation of Learning About Evidence-Based Policing By Graduate Trainee Police Officers
Experimental Effects of A Call-Center Disclaimer Regarding Confidentiality on Callers’ Willingness to Make Disclosures Related to Terrorism by Michael J. Williams, Jocelyn J. Bélanger, John Horgan, William P. Evans


---
title: Home
date: 2019-11-30T15:26:08+00:00
url: /
layout: home
aliases:
- /benefits
- /what-is-ct
---
Working together to detect maliciously or mistakenly issued certificates.
To the participants of the Certificate Transparency (CT) ecosystem, who give their time, expertise, and resources to help keep the web secure.
Thank you.
Certificate Transparency (CT) sits within a wider ecosystem, Web Public Key Infrastructure. Web PKI includes everything needed to issue and verify certificates used for TLS on the web. Certificates bind a public cryptographic key to a domain name, similar to how a passport brings together a person's photo and name.
Certificates are issued by CAs. Web PKI requires user agents and domain owners to trust that CAs are tying domains to the right domain owners. A user agent is something that acts on behalf of a user, usually a browser.
A CA that has been hacked or sloppy can issue certificates for any website. The communication would still be technically encrypted, but there could be an attacker at the other end who could intercept the private data.
Historically, user agents determined if CAs were trustworthy through audits by credentialled third parties. But these tended to look at operational practices and historical performance rather than technical correctness. Such audits can’t catch everything. Before CT, there could be a significant time lag between a certificate being wrongly issued, and a CA doing something about it.
CT depends on independent, reliable logs because it is a distributed ecosystem. Built using Merkle trees, logs are publicly verifiable, append-only, and tamper-proof.
Thanks to CT, domain owners, browsers, academics, and other interested people can analyse and monitor logs. They’re able to see which CAs have issued which certificates, when, and for which domains.
To help keep the web safe, CT needs numerous robust logs, run by different organizations, in different jurisdictions.
CT may have been started by engineers at Google, but it works because independent organizations set up and run monitors and logs. For the internet, and of the internet.
Find out more about how
Certificate Transparency works.
Or get started by going to the GitHub page
or joining the Google Group.


# Overview of new System
This new interface utilizes direct websocket connection between the ESP32 and a hosted website. It should require minimal installation on the part of the student (no Python, Flask, or threading cludges.)
The only thing it requires are two libraries to be installed in your Arduino IDE. To do this move a copy of the `Six302` library and a copy of the `ESP32-Websocket` library to your library folder for you Arduino (on Mac this is usually located under `Documents>Arduino>libraries`).
Once installed, you only need to include the `Six302` library and then go to a site that hosts the GUI backend (note you can either do this locally with a Python Flask server if you'd like) or a remotely-hosted site.
## Interfacing
Compared to the previous two years of 6302View, version 3 is far more streamlined. An example script is shown below.
```
#include
#include
CommManager cm(1000,25000); //create instance of commManager
//Create incoming control variables, parameters, etc...
float Kp;
float Kd;
float desired;
float ct_or_dt;
//Create outgoing variables for control and plotting...
float angle;
float omega;
float dwdt;
float vms[2];
int loop_count;
void setup()
{
delay(500); //initial wait for safety
Serial.begin(115200);//set up serial
cm.connect("router","password"); //connect to router using password!
cm.addSlider("Kp",-5,5,0.1,false, &Kp); //add a slider called Kp and link it to variable Kp
cm.addSlider("Kd",-5,5,0.1,false, &Kd); //add a slider called Kd and link it to variable Kd
cm.addSlider("Desired",-5,5,0.1,true, &desired); // similar...
cm.addToggle("CT or DT", &ct_or_dt);
cm.addPlot("Angle",-3,3,100, &angle); //add a plotter called "Angle" and link it to variable angle
cm.addPlot("Omega",-50,50,100, &omega); //similar...
cm.addPlot("dwdt",-10,10,100, &dwdt); //similar...
cm.addPlot("Voltages",0,3,100, vms,2); //add a plotter (two plots in same window) called "Voltages" and link to vms array
loop_count = 0;
}
void loop(){
//User code here! take in readings, update values, etc...should be all good.
//below is just some random math/linking/relationships of inputs to outputs for demos
//normally you'd do your analog readings, and legit stuff here.
//
angle = cos(millis()*0.001*6.28);
omega = Kd;
dwdt = ct_or_dt?cos(millis()*0.1):1;
vms[0] = Kd*cos(millis()*0.01);
vms[1] = -vms[0];
cm.step(); //call once per loop. Blocks until step duration has occurred.
}
```
The system operation is built around the `CommManager` class which handles all timing, communication, and value distribution tasks that were previously wound up in a bunch of spaghetti code. It requires a certain structure to your code in order for it to work. In particular, it requires the user to set up a minimum of two types of `float` data types. The first set are incoming control variables, these are variables that will be set and varied by the GUI. The user can change these, but be aware that hte GUI is also changing them so in the main body of the code you do not have full control over these.
The second type of variable are outgoing values. These are values which you have full-control over in the main loop, and which are reported back to the GUI.
It is entirely possible to have a single variable be associated with an incoming signal and an outgoing signal.
We use pointers to link to these two classes of variables, minimizing the need for the user to do explicit assignments/function calls in loop and keeping the code decluttered.
You start off by making an object based off the `CommManager` class. At instantiation you specify two critical values: the control loop period (in microseconds) and the reporting loop period (in microseconds). The former must be shorter than the latter. Assuming we call this object `cm`, upon instantiation, you can either rely on default by simply doing `CommManager cm;` (which falls back to a 1000 us control loop period and 20000 us reporting loop period) or via specifying values like so: `CommManager cm(1000,25000);` which gives a 1000 us control loop period and 25000 us reporting loop period.
After that there's not much to do with the object other than add different input/output widgets using member function calls on the `CommManager` object. These must be done in the `setup()` function. Details and their results below:
## Creation of Widgets
There are four three primary widgets: Plots, Sliders, and Toggles. Sliders have two sub-types depending on needs of the user. When you declare a slider you use the following format. The first argument is the title of the slider, then the lower and upper bounds, the slider-resolution, the toggle argument (more on that below), and then the address of the variable you want linked to that slider (meaning every time you change the slider in the gui that variable will get updated.)
```
cm.addSlider("Kp",-5,5,0.1,false, &Kp);
```
This particular call results in the following slider being built:
The fifth argument above that was `false` is for enabling a toggling feature. When that is set to be `true`, the slider builds differently.
```
cm.addSlider("Desired",-5,5,0.1,true, &desired);
```
It ends up looking like the image below. It is still a standard slider, but in addition, there are two limits that can be adjusted, and then when you turn on the toggle switch in the widget, the slider will start to alternate between those two limits with a half-period specified by the labeled field (this behavior is all in javascript so looks like the user is doing it from the perspective of the ESP32)
The next thing you can add is a toggle switch and it is basically a binary slider. This also needs a pointer to a float (to make type-handling easier), but the linked variable will only be `1.0` or `0.0`.
```
cm.addToggle("CT or DT", &ct_or_dt);
```
It results in the following widget that should be pretty self-explanatory:
The previous two things have been user-controlled inputs to the system under control. This final one is an output, allowing real-time reporting of values. To make a plot you need to do the following where the title is the first argument, the vertical limits are the second and third, the horizontal count is the fourth and a reference to the data being reported is the final argument.
```
cm.addPlot("Angle",-3,3,100, &angle);
```
When the call above is run, you get the following:
If you wish to make a multiple-trace plot, you need to give it the following:
```
cm.addPlot("Voltages",0,3,100, vms,2);
```
Note that in this case, the pointer argument provided refers to an `float` array, and the final argument (unused in a single-trace plot) refers to how many traces are involved. Each trace will be given a different color in the plot, in the order of blue, red, green, yellow, and purple.
#Running Everything
When you've got a handle on everything the basic order of operations is as follows:
* Upload your code to the ESP32 with a valid 2.4 GHz wireless access point and password included. Upon startup in the serial monitor it will print out the IP address assigned to the ESP32.
* Head on over to your GUI, enter that IP address into the appropriate field, and then press connect. Within a second or two, the gui elements will have built and all will be right with the world. Plots should immediately start running.
##CSV
The ability to record all data is facilitated through the `CSV Generate?` button at the top of the page. Upon pressing this, at every update step (every time the graphs on the page update), all current values of inputs (sliders and toggle switches) as well as the newest set of outputs (the plot values) will be appended to a CSV row. A header for identification purposes is automatically generated in the order INPUTS and then OUTPUTS based on their declaration order in the ESP32 code. When you unclick the CSV button, the csv file will be generated using the name specified in the CSV name field and a timestamp.
##Rearranging
While taking data if you get sick of the order of the widgets you can click on the `Grid Locked` toggle at the top left to enable dragging of gui elements. To drag them, click and hold on the title of the element. As you move it, it will turn a light green and a dashed outline will show where you're moving it. Other things will rearrange in a crappy way around where you're putting it. Does this help much? The more panels, the more it sort of does, but don't feel obligated to use it.


I’m an experienced Data Scientist with specialized skills in machine learning-based solutions. I enjoy staying on top of cutting-edge data technologies, including big data platforms, deep learning, optimization methods, and business analytics. My current work involves building data-driven products to enable smarter recommendations for Microsoft Partners, M365 service administrators and end-users to ensure the best usage of M365 services. Before that, I have experience working in various verticals like agricultural technology, pharmaceuticals, retail, e-commerce, and ride-sharing business model.
Microsoft, Redmond, WA, USA
Senior ML Scientist
June 2019 - Present
- Worked with cross-functional teams to build data product (Project Orland) for customer life cycle management for M365 Partners leading to an additive impact of around $5-7 MM in retention and 3-5 MM of upsell opportunities in FY22 and potential for $30 MM incremental revenue in FY23
- Building and deploying ML learning models for increasing engagement and driving upsell for M365 products for email and in- product messaging for SMB segment leading to an increase of 5% lift in monthly active users in core workloads
- Conducted an in-depth analysis of COVID free trials and recommended product improvements to reduce cannibalization with paid customers which led to $4-5MM/ month of COGS saving
- Collaborated with Orca Conservancy(non-profit) to build bioacoustics call recognition and alerting system for Southern resident killer whales (Orcas). This hack project won multiple Microsoft AI4Good grants, which provided $45K in Azure credits
Land O’ Lakes Inc., Shoreview, MN, USA
Senior Data Scientist
June 2017 - June 2019
- Built a machine learning based targeting strategy for finding the best operators to target out of 1.6 million operators, leading to 7x increase on sales returns from the previously used method using Python, Hive, Power BI, and Apache NiFi
- Running marketing mix models for animal feed categories to understand effectiveness of various marketing activities
- Enhancing corn yields for farmers by improving seed recommendations using customized growing condition-based similarity metrics devised by combining open-source datasets for over 2.07 million farms using Python and ArcGIS
Taxiforsure.com, Jaipur, RJ, India
Senior Business Analyst
March 2015 - May 2016
- Built a machine learning based targeting strategy for finding the best operators to target out of 1.6 million operators, leading to 7x increase on sales returns from the previously used method using Python, Hive, Power BI, and Apache NiFi
- Running marketing mix models for animal feed categories to understand effectiveness of various marketing activities
- Enhancing corn yields for farmers by improving seed recommendations using customized growing condition-based similarity metrics devised by combining open-source datasets for over 2.07 million farms using Python and ArcGIS
Snapdeal.com, New Delhi, India
Product Data Analyst
November 2014 - March 2015
- Designed supply scheme with regional head to cut down per trip cost by 50% in 3 months from INR 130 to INR 60
- Designed an active cab prediction system to balance demand and supply, reducing cab rejection from 5% to 1%
- Developed fraud detection model and automated penalty imposing system saving $300,000 annually using Hive and Python
Mu Sigma Business Solutions Pvt. Ltd, Bengaluru, India
Trainee Decision Scientist
June 2013 - October 2014
- Generated reports on mobile applications, analyzed user flow and interactions for better understanding of website traffic; delivered findings to Product Manager team to inform future enhancements to app using Adobe Omniture
- Predicted conversion rates using R based on various business parameters for better inventory and technical planning
Carlson School of Management, University of Minnesota, Minneapolis, MN, USA
Master of Science in Business Analytics | GPA: 3.98/4
May, 2017
Malaviya National Institute of Technology, Jaipur, India
Bachelor of Technology in Electrical Engineering | GPA: 8.35/10
May, 2013
Technical
Natural Language Processing Specialization, Deeplearning.ai, Coursera
Certificate
October, 2022
Triplebyte Engineering Certificate
Certificate
August, 2022
Parallel Programming with Dask in Python, DataCamp
Certificate
March, 2022
Microsoft Global Hackathon 2021 Award Winner, Microsoft
Certificate
December, 2021
AI The LinkedIn Way, LinkedIn
Certificate
December, 2020
Learning C#, LinkedIn
Certificate
July, 2019
DEV262x: Logic and Computational Thinking, EDX
Certificate
March, 2019
DevOps for Data Scientists, LinkedIn
Certificate
October, 2018
Git Essential Training, LinkedIn
Certificate
October, 2018
Natural Language Processing, HSE, Coursera
Certificate
July, 2018
Introduction to Deep Learning, HSE, Coursera
Certificate
May, 2019
Developing Data Products, John Hopkins University, Coursera
Certificate
November, 2014
Reproducible Research, John Hopkins University, Coursera
Certificate
November, 2014
Regression Models, John Hopkins University, Coursera
Certificate
October, 2014
Machine Learning, Stanford University, Coursera
Certificate
September, 2014
Practical Machine Learning, John Hopkins University, Coursera
Certificate
September, 2014
R Programming, John Hopkins University, Coursera
Certificate
September, 2014
Non - Technical
Creativity at Work: A Short Course from Seth Godin, LinkedIn
Certificate
July, 2021
Learning to Be Assertive, LinkedIn
Certificate
June, 2021
Succeeding in a New Role By Managing Up, LinkedIn
Certificate
March, 2021
Improving Your Listening Skills, LinkedIn
Certificate
November, 2020
Giving and Receiving Feedback, LinkedIn
Certificate
May, 2020
Time Management Fundamentals, LinkedIn
Certificate
April, 2020
Coaching Skills for Leaders and Managers, LinkedIn
Certificate
June, 2019
Becoming a Male Ally at Work, LinkedIn
Certificate
June, 2019


Georgia’s ‘turning point’? Debate signals Democratic hopes
by Associated PressPEACHTREE CORNERS, Ga. (AP) — Growth and urbanization, along with President Donald Trump’s struggles among previously GOP-leaning white college graduates, have put Georgia on the cusp of presidential battleground status.
The question is how close.
Republicans acknowledge demographic change but are skeptical the state will swing to Democrats.
As with any competitive electorate, Georgia’s direction will turn on a combination of variables within an electorate that now exceeds 7 million registered voters.
The 2020 elections offer plenty of opportunities for both sides to prove their case.
Georgia will play host to this month’s Democratic presidential debate, featuring 10 candidates. It is being held Wednesday at actor Tyler Perry’s Atlanta film complex.


{% capture showerify_input %}{{ content }}{% endcapture %}{% include showerify.html %}{% include setup.md %}


EVP_PKEY_get_field_type, EVP_PKEY_get_ec_point_conv_form - get field type or point conversion form of a key
#include <openssl/evp.h>
int EVP_PKEY_get_field_type(const EVP_PKEY *pkey);
int EVP_PKEY_get_ec_point_conv_form(const EVP_PKEY *pkey);
EVP_PKEY_get_field_type() returns the field type NID of the pkey, if pkey's key type supports it. The types currently supported by the built-in OpenSSL providers are either NID_X9_62_prime_field for prime curves or NID_X9_62_characteristic_two_field for binary curves; these values are defined in the <openssl/obj_mac.h> header file.
EVP_PKEY_get_ec_point_conv_form() returns the point conversion format of the pkey, if pkey's key type supports it.
Among the standard OpenSSL key types, this is only supported for EC and SM2 keys. Other providers may support this for additional key types.
EVP_PKEY_get_field_type() returns the field type NID or 0 on error.
EVP_PKEY_get_ec_point_conv_form() returns the point conversion format number (see EC_GROUP_copy(3)) or 0 on error.
These functions were added in OpenSSL 3.0.
Copyright 2021 The OpenSSL Project Authors. All Rights Reserved.
Licensed under the Apache License 2.0 (the "License"). You may not use this file except in compliance with the License. You can obtain a copy in the file LICENSE in the source distribution or at https://www.openssl.org/source/license.html.


What will you bring to life
Super LCD3 capacitive touchscreen,
16M colors
4.7 inches (~65.0% screen-to-body ratio)
1080 x 1920 pixels (~469 ppi pixel density)
Corning Gorilla Glass 2
137.4 x 68.2 x 9.3 mm (5.41 x 2.69 x 0.37 in)
143 g (5.04 oz)
Micro-SIM
4 MP, 2688 x 1520 pixels, autofocus,
optical image stabilization,
LED flash
1/3' sensor size, 2µm pixel size,
geo-tagging, face/smile detection
1080p@30fps, 720p@60fps,
2.1 MP, 1080p@30fps, HDR
Android OS, v4.1.2 (Jelly Bean),
Qualcomm APQ8064T Snapdragon 600
Quad-core 1.7 GHz Krait 300
Accessories for HTC


Requirements
AWS CLI 1.11.24
or higher, see
AWS CLI User Guide for more info.
Use awscli.sh
script to install / update AWS CLI if yours is out of date. Use aws --version
to verify.
Usage
$ mkdir -p GitHub; cd GitHub
$ git clone https://github.com/LanikSJ/awscli-aliases
$ mkdir -p ~/.aws/cli
$ ln -sf ~/GitHub/awscli-aliases/alias ~/.aws/cli/alias
Test
aws whoami
Same as aws sts get-caller-identity
Output:
{
"Account": "1234567890",
"UserId": "AROAJGILZWBHUUPCERBWY",
"Arn": "arn:aws:sts::1234567890:user/UserId"
}
Docker
If you would like to try the aliases in a docker container and already have AWS CLI installed:
$ docker run -v ~/.aws/credentials:/root/.aws/credentials:ro -it ghcr.io/laniksj/awscli-aliases whoami
Bugs
Please report any bugs or issues you find. Thanks!


Good morning, Kitchener!
A mix of sun and cloud continuing into the evening
by KitchenerToday StaffA mix of sun and cloud with fog patches dissipating early in the morning.
Wind coming from the west at 30 km/h gusting up to 50 in the morning.
A high of 4C (wind chill of -8C in the morning.)
The UV index is low at 2.
Tonight, cloudy with a 30 per cent chance of showers.
Winds will blow west at 20 km/h becoming light near midnight.
A low of 2.
Don't forget to check out the latest gas prices, which are also listed on this page.


{% include meta.html %}
Testing news.
More news.
Check out my news.
For Real LifeStyle
Toggle navigation
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{{ content }}
{% if page.title != "About" %} {% include sidebar.html %} {% endif %}


406 patients waiting for admission to hospital bed
by Fergal Bowers, https://www.facebook.com/rtenews/The HSE says there are 406 patients waiting in hospital emergency departments for admission to a hospital bed today, excluding the children's hospitals.
The number is up 54% on the same day last year, according to its TrolleyGar data, collected at 8am.
The hospitals worst affected are Galway University Hospital with 37 patients waiting; St Vincent's with 33 patients waiting and Cork University Hospital and Tallaght Hospital, each with 24 patients waiting.


Welcome to the newest Premium Photography WordPress Theme by Elmastudio! Ubud has a pure and minimal design with flexible, multi- column layout and image format options to feature your photography, artwork or portfolio work.
Everyone who has been to the beach knows that seawater is salty.


MPI maintains one individual file pointer per process per file handle. The current value of this pointer implicitly specifies the offset in the data access routines described in this section. These routines only use and update the individual file pointers maintained by MPI. The shared file pointer is not used nor updated.
The individual file pointer routines have the same semantics as the data access with explicit offset routines described in Section Data Access with Explicit Offsets , page Data Access with Explicit Offsets , with the following modification:
If MPI_MODE_SEQUENTIAL mode was specified when the file was opened, it is erroneous to call the routines in this section, with the exception of MPI_FILE_GET_BYTE_OFFSET.
| MPI_FILE_READ(fh, buf, count, datatype, status) | |
| INOUT fh | file handle (handle) |
| OUT buf | initial address of buffer (choice) |
| IN count | number of elements in buffer (integer) |
| IN datatype | datatype of each buffer element (handle) |
| OUT status | status object (Status) |
int MPI_File_read(MPI_File fh, void *buf, int count, MPI_Datatype datatype, MPI_Status *status)
MPI_FILE_READ reads a file using the individual file pointer.
int MPI_File_read_all(MPI_File fh, void *buf, int count, MPI_Datatype datatype, MPI_Status *status)
MPI_FILE_READ_ALL is a collective version
of the blocking MPI_FILE_READ interface.
int MPI_File_write(MPI_File fh, void *buf, int count, MPI_Datatype datatype, MPI_Status *status)
MPI_FILE_WRITE writes a file using the individual file pointer.
int MPI_File_write_all(MPI_File fh, void *buf, int count, MPI_Datatype datatype, MPI_Status *status)
MPI_FILE_WRITE_ALL is a collective version
of the blocking MPI_FILE_WRITE interface.
int MPI_File_iread(MPI_File fh, void *buf, int count, MPI_Datatype datatype, MPI_Request *request)
MPI_FILE_IREAD is a nonblocking version of the MPI_FILE_READ interface.
int MPI_File_iwrite(MPI_File fh, void *buf, int count, MPI_Datatype datatype, MPI_Request *request)
MPI_FILE_IWRITE is a nonblocking version of the MPI_FILE_WRITE interface.
int MPI_File_seek(MPI_File fh, MPI_Offset offset, int whence)
MPI_FILE_SEEK updates the individual file pointer according to
whence,
which has the following possible values:
int MPI_File_get_position(MPI_File fh, MPI_Offset *offset)
MPI_FILE_GET_POSITION returns, in offset,
the current position of the individual file pointer in etype units
relative to the current view.
The offset can be used in a future call to MPI_FILE_SEEK
using whence = MPI_SEEK_SET to return to the current position.
To set the displacement to the current file pointer position,
first convert offset into an absolute byte position using
MPI_FILE_GET_BYTE_OFFSET,
then call MPI_FILE_SET_VIEW with the resulting
displacement.
( End of advice to users.)
int MPI_File_get_byte_offset(MPI_File fh, MPI_Offset offset, MPI_Offset *disp)
MPI_FILE_GET_BYTE_OFFSET converts a view-relative offset
into an absolute byte position.
The absolute byte position (from the beginning of the file)
of offset relative to the current view of fh
is returned in disp.
MPI_FILE_READ(FH, BUF, COUNT, DATATYPE, STATUS, IERROR)
<type> BUF(*)
INTEGER FH, COUNT, DATATYPE, STATUS(MPI_STATUS_SIZE), IERROR
{ void MPI::File::Read(void* buf, int count, const MPI::Datatype& datatype, MPI::Status& status) (binding deprecated, see Section Deprecated since MPI-2.2
) }
{ void MPI::File::Read(void* buf, int count, const MPI::Datatype& datatype) (binding deprecated, see Section Deprecated since MPI-2.2
) }
Example
The following Fortran code fragment is an example of reading
a file until the end of file is reached:
! Read a preexisting input file until all data has been read.
! Call routine "process_input" if all requested data is read.
! The Fortran 90 "exit" statement exits the loop.
integer bufsize, numread, totprocessed, status(MPI_STATUS_SIZE)
parameter (bufsize=100)
real localbuffer(bufsize)
call MPI_FILE_OPEN( MPI_COMM_WORLD, 'myoldfile', &
MPI_MODE_RDONLY, MPI_INFO_NULL, myfh, ierr )
call MPI_FILE_SET_VIEW( myfh, 0, MPI_REAL, MPI_REAL, 'native', &
MPI_INFO_NULL, ierr )
totprocessed = 0
do
call MPI_FILE_READ( myfh, localbuffer, bufsize, MPI_REAL, &
status, ierr )
call MPI_GET_COUNT( status, MPI_REAL, numread, ierr )
call process_input( localbuffer, numread )
totprocessed = totprocessed + numread
if ( numread < bufsize ) exit
enddo
write(6,1001) numread, bufsize, totprocessed
1001 format( "No more data: read", I3, "and expected", I3, &
"Processed total of", I6, "before terminating job." )
call MPI_FILE_CLOSE( myfh, ierr )
MPI_FILE_READ_ALL(fh, buf, count, datatype, status) INOUT fh file handle (handle) OUT buf initial address of buffer (choice) IN count number of elements in buffer (integer) IN datatype datatype of each buffer element (handle) OUT status status object (Status)
MPI_FILE_READ_ALL(FH, BUF, COUNT, DATATYPE, STATUS, IERROR)
<type> BUF(*)
INTEGER FH, COUNT, DATATYPE, STATUS(MPI_STATUS_SIZE), IERROR
{ void MPI::File::Read_all(void* buf, int count, const MPI::Datatype& datatype, MPI::Status& status) (binding deprecated, see Section Deprecated since MPI-2.2
) }
{ void MPI::File::Read_all(void* buf, int count, const MPI::Datatype& datatype) (binding deprecated, see Section Deprecated since MPI-2.2
) }
MPI_FILE_WRITE(fh, buf, count, datatype, status) INOUT fh file handle (handle) IN buf initial address of buffer (choice) IN count number of elements in buffer (integer) IN datatype datatype of each buffer element (handle) OUT status status object (Status)
MPI_FILE_WRITE(FH, BUF, COUNT, DATATYPE, STATUS, IERROR)
<type> BUF(*)
INTEGER FH, COUNT, DATATYPE, STATUS(MPI_STATUS_SIZE), IERROR
{ void MPI::File::Write(const void* buf, int count, const MPI::Datatype& datatype, MPI::Status& status) (binding deprecated, see Section Deprecated since MPI-2.2
) }
{ void MPI::File::Write(const void* buf, int count, const MPI::Datatype& datatype) (binding deprecated, see Section Deprecated since MPI-2.2
) }
MPI_FILE_WRITE_ALL(fh, buf, count, datatype, status) INOUT fh file handle (handle) IN buf initial address of buffer (choice) IN count number of elements in buffer (integer) IN datatype datatype of each buffer element (handle) OUT status status object (Status)
MPI_FILE_WRITE_ALL(FH, BUF, COUNT, DATATYPE, STATUS, IERROR)
<type> BUF(*)
INTEGER FH, COUNT, DATATYPE, STATUS(MPI_STATUS_SIZE), IERROR
{ void MPI::File::Write_all(const void* buf, int count, const MPI::Datatype& datatype, MPI::Status& status) (binding deprecated, see Section Deprecated since MPI-2.2
) }
{ void MPI::File::Write_all(const void* buf, int count, const MPI::Datatype& datatype) (binding deprecated, see Section Deprecated since MPI-2.2
) }
MPI_FILE_IREAD(fh, buf, count, datatype, request) INOUT fh file handle (handle) OUT buf initial address of buffer (choice) IN count number of elements in buffer (integer) IN datatype datatype of each buffer element (handle) OUT request request object (handle)
MPI_FILE_IREAD(FH, BUF, COUNT, DATATYPE, REQUEST, IERROR)
<type> BUF(*)
INTEGER FH, COUNT, DATATYPE, REQUEST, IERROR
{ MPI::Request MPI::File::Iread(void* buf, int count, const MPI::Datatype& datatype) (binding deprecated, see Section Deprecated since MPI-2.2
) }
Example
The following Fortran code fragment illustrates file pointer
update semantics:
! Read the first twenty real words in a file into two local
! buffers. Note that when the first MPI_FILE_IREAD returns,
! the file pointer has been updated to point to the
! eleventh real word in the file.
integer bufsize, req1, req2
integer, dimension(MPI_STATUS_SIZE) :: status1, status2
parameter (bufsize=10)
real buf1(bufsize), buf2(bufsize)
call MPI_FILE_OPEN( MPI_COMM_WORLD, 'myoldfile', &
MPI_MODE_RDONLY, MPI_INFO_NULL, myfh, ierr )
call MPI_FILE_SET_VIEW( myfh, 0, MPI_REAL, MPI_REAL, 'native', &
MPI_INFO_NULL, ierr )
call MPI_FILE_IREAD( myfh, buf1, bufsize, MPI_REAL, &
req1, ierr )
call MPI_FILE_IREAD( myfh, buf2, bufsize, MPI_REAL, &
req2, ierr )
call MPI_WAIT( req1, status1, ierr )
call MPI_WAIT( req2, status2, ierr )
call MPI_FILE_CLOSE( myfh, ierr )
MPI_FILE_IWRITE(fh, buf, count, datatype, request) INOUT fh file handle (handle) IN buf initial address of buffer (choice) IN count number of elements in buffer (integer) IN datatype datatype of each buffer element (handle) OUT request request object (handle)
MPI_FILE_IWRITE(FH, BUF, COUNT, DATATYPE, REQUEST, IERROR)
<type> BUF(*)
INTEGER FH, COUNT, DATATYPE, REQUEST, IERROR
{ MPI::Request MPI::File::Iwrite(const void* buf, int count, const MPI::Datatype& datatype) (binding deprecated, see Section Deprecated since MPI-2.2
) }
MPI_FILE_SEEK(fh, offset, whence) INOUT fh file handle (handle) IN offset file offset (integer) IN whence update mode (state)
MPI_FILE_SEEK(FH, OFFSET, WHENCE, IERROR)
INTEGER FH, WHENCE, IERROR
INTEGER(KIND=MPI_OFFSET_KIND) OFFSET
{ void MPI::File::Seek(MPI::Offset offset, int whence) (binding deprecated, see Section Deprecated since MPI-2.2
) }
The offset can be negative, which allows seeking backwards.
It is erroneous to seek to a negative position in the view.
MPI_FILE_GET_POSITION(fh, offset) IN fh file handle (handle) OUT offset offset of individual pointer (integer)
MPI_FILE_GET_POSITION(FH, OFFSET, IERROR)
INTEGER FH, IERROR
INTEGER(KIND=MPI_OFFSET_KIND) OFFSET
{ MPI::Offset MPI::File::Get_position() const (binding deprecated, see Section Deprecated since MPI-2.2
) }
Advice to users.
MPI_FILE_GET_BYTE_OFFSET(fh, offset, disp) IN fh file handle (handle) IN offset offset (integer) OUT disp absolute byte position of offset (integer)
MPI_FILE_GET_BYTE_OFFSET(FH, OFFSET, DISP, IERROR)
INTEGER FH, IERROR
INTEGER(KIND=MPI_OFFSET_KIND) OFFSET, DISP
{ MPI::Offset MPI::File::Get_byte_offset(const MPI::Offset disp) const (binding deprecated, see Section Deprecated since MPI-2.2
) }
Up: Data Access
Next: Data Access with Shared File Pointers
Previous: Data Access with Explicit Offsets
Return to MPI-2.2 Standard Index
Return to MPI Forum Home Page
(Unofficial) MPI-2.2 of September 4, 2009
HTML Generated on September 10, 2009


Thrift Connector#
The Thrift connector makes it possible to integrate with external storage systems without a custom Presto connector implementation.
In order to use the Thrift connector with an external system, you need to implement
the PrestoThriftService
interface, found below. Next, you configure the Thrift connector
to point to a set of machines, called Thrift servers, that implement the interface.
As part of the interface implementation, the Thrift servers will provide metadata,
splits and data. The connector will randomly choose a server to talk to from the available
instances for metadata calls, or for data calls unless the splits include a list of addresses.
All requests are assumed to be idempotent and can be retried freely among any server.
Configuration#
To configure the Thrift connector, create a catalog properties file
etc/catalog/thrift.properties
with the following content,
replacing the properties as appropriate:
connector.name=presto-thrift
presto.thrift.client.addresses=host:port,host:port
Multiple Thrift Systems#
You can have as many catalogs as you need, so if you have additional
Thrift systems to connect to, simply add another properties file to etc/catalog
with a different name (making sure it ends in .properties
).
Configuration Properties#
The following configuration properties are available:
Property Name |
Description |
|---|---|
|
Location of Thrift servers |
|
Maximum size of data returned from Thrift server |
|
Number of refresh threads for metadata cache |
|
Maximum number of retries for failed Thrift requests |
|
Maximum interval between retry attempts |
|
Minimum interval between retry attempts |
|
Maximum duration across all attempts of a Thrift request |
|
Scale factor for exponential back off |
|
Connect timeout |
|
Request timeout |
|
SOCKS proxy address |
|
Maximum size of a raw Thrift response |
|
Thrift transport type ( |
|
Thrift protocol type ( |
presto.thrift.client.addresses
#
Comma-separated list of thrift servers in the form of host:port
. For example:
presto.thrift.client.addresses=<IP_ADDRESS>:7777,<IP_ADDRESS>:7779
This property is required; there is no default.
presto-thrift.max-response-size
#
Maximum size of a data response that the connector accepts. This value is sent by the connector to the Thrift server when requesting data, allowing it to size the response appropriately.
This property is optional; the default is 16MB
.
presto-thrift.metadata-refresh-threads
#
Number of refresh threads for metadata cache.
This property is optional; the default is 1
.
Thrift IDL File#
The following IDL describes the PrestoThriftService
that must be implemented:
enum PrestoThriftBound {
BELOW = 1;
EXACTLY = 2;
ABOVE = 3;
}
exception PrestoThriftServiceException {
1: string message;
2: bool retryable;
}
struct PrestoThriftNullableSchemaName {
1: optional string schemaName;
}
struct PrestoThriftSchemaTableName {
1: string schemaName;
2: string tableName;
}
struct PrestoThriftTableMetadata {
1: PrestoThriftSchemaTableName schemaTableName;
2: list<PrestoThriftColumnMetadata> columns;
3: optional string comment;
/**
* Returns a list of key sets which can be used for index lookups.
* The list is expected to have only unique key sets.
* {@code set<set<string>>} is not used here because some languages (like php) don't support it.
*/
4: optional list<set<string>> indexableKeys;
}
struct PrestoThriftColumnMetadata {
1: string name;
2: string type;
3: optional string comment;
4: bool hidden;
}
struct PrestoThriftNullableColumnSet {
1: optional set<string> columns;
}
struct PrestoThriftTupleDomain {
/**
* Return a map of column names to constraints.
*/
1: optional map<string, PrestoThriftDomain> domains;
}
/**
* Set that either includes all values, or excludes all values.
*/
struct PrestoThriftAllOrNoneValueSet {
1: bool all;
}
/**
* A set containing values that are uniquely identifiable.
* Assumes an infinite number of possible values. The values may be collectively included (aka whitelist)
* or collectively excluded (aka !whitelist).
* This structure is used with comparable, but not orderable types like "json", "map".
*/
struct PrestoThriftEquatableValueSet {
1: bool whiteList;
2: list<PrestoThriftBlock> values;
}
/**
* Elements of {@code nulls} array determine if a value for a corresponding row is null.
* Elements of {@code ints} array are values for each row. If row is null then value is ignored.
*/
struct PrestoThriftInteger {
1: optional list<bool> nulls;
2: optional list<i32> ints;
}
/**
* Elements of {@code nulls} array determine if a value for a corresponding row is null.
* Elements of {@code longs} array are values for each row. If row is null then value is ignored.
*/
struct PrestoThriftBigint {
1: optional list<bool> nulls;
2: optional list<i64> longs;
}
/**
* Elements of {@code nulls} array determine if a value for a corresponding row is null.
* Elements of {@code doubles} array are values for each row. If row is null then value is ignored.
*/
struct PrestoThriftDouble {
1: optional list<bool> nulls;
2: optional list<double> doubles;
}
/**
* Elements of {@code nulls} array determine if a value for a corresponding row is null.
* Each elements of {@code sizes} array contains the length in bytes for the corresponding element.
* If row is null then the corresponding element in {@code sizes} is ignored.
* {@code bytes} array contains UTF-8 encoded byte values.
* Values for all rows are written to {@code bytes} array one after another.
* The total number of bytes must be equal to the sum of all sizes.
*/
struct PrestoThriftVarchar {
1: optional list<bool> nulls;
2: optional list<i32> sizes;
3: optional binary bytes;
}
/**
* Elements of {@code nulls} array determine if a value for a corresponding row is null.
* Elements of {@code booleans} array are values for each row. If row is null then value is ignored.
*/
struct PrestoThriftBoolean {
1: optional list<bool> nulls;
2: optional list<bool> booleans;
}
/**
* Elements of {@code nulls} array determine if a value for a corresponding row is null.
* Elements of {@code dates} array are date values for each row represented as the number
* of days passed since 1970-01-01.
* If row is null then value is ignored.
*/
struct PrestoThriftDate {
1: optional list<bool> nulls;
2: optional list<i32> dates;
}
/**
* Elements of {@code nulls} array determine if a value for a corresponding row is null.
* Elements of {@code timestamps} array are values for each row represented as the number
* of milliseconds passed since 1970-01-01T00:00:00 UTC.
* If row is null then value is ignored.
*/
struct PrestoThriftTimestamp {
1: optional list<bool> nulls;
2: optional list<i64> timestamps;
}
/**
* Elements of {@code nulls} array determine if a value for a corresponding row is null.
* Each elements of {@code sizes} array contains the length in bytes for the corresponding element.
* If row is null then the corresponding element in {@code sizes} is ignored.
* {@code bytes} array contains UTF-8 encoded byte values for string representation of json.
* Values for all rows are written to {@code bytes} array one after another.
* The total number of bytes must be equal to the sum of all sizes.
*/
struct PrestoThriftJson {
1: optional list<bool> nulls;
2: optional list<i32> sizes;
3: optional binary bytes;
}
/**
* Elements of {@code nulls} array determine if a value for a corresponding row is null.
* Each elements of {@code sizes} array contains the length in bytes for the corresponding element.
* If row is null then the corresponding element in {@code sizes} is ignored.
* {@code bytes} array contains encoded byte values for HyperLogLog representation as defined in
* Airlift specification: href="https://github.com/airlift/airlift/blob/master/stats/docs/hll.md
* Values for all rows are written to {@code bytes} array one after another.
* The total number of bytes must be equal to the sum of all sizes.
*/
struct PrestoThriftHyperLogLog {
1: optional list<bool> nulls;
2: optional list<i32> sizes;
3: optional binary bytes;
}
/**
* Elements of {@code nulls} array determine if a value for a corresponding row is null.
* Each elements of {@code sizes} array contains the number of elements in the corresponding values array.
* If row is null then the corresponding element in {@code sizes} is ignored.
* {@code values} is a bigint block containing array elements one after another for all rows.
* The total number of elements in bigint block must be equal to the sum of all sizes.
*/
struct PrestoThriftBigintArray {
1: optional list<bool> nulls;
2: optional list<i32> sizes;
3: optional PrestoThriftBigint values;
}
/**
* A set containing zero or more Ranges of the same type over a continuous space of possible values.
* Ranges are coalesced into the most compact representation of non-overlapping Ranges.
* This structure is used with comparable and orderable types like bigint, integer, double, varchar, etc.
*/
struct PrestoThriftRangeValueSet {
1: list<PrestoThriftRange> ranges;
}
struct PrestoThriftId {
1: binary id;
}
struct PrestoThriftSplitBatch {
1: list<PrestoThriftSplit> splits;
2: optional PrestoThriftId nextToken;
}
struct PrestoThriftSplit {
/**
* Encodes all the information needed to identify a batch of rows to return to Presto.
* For a basic scan, includes schema name, table name, and output constraint.
* For an index scan, includes schema name, table name, set of keys to lookup and output constraint.
*/
1: PrestoThriftId splitId;
/**
* Identifies the set of hosts on which the rows are available. If empty, then the rows
* are expected to be available on any host. The hosts in this list may be independent
* from the hosts used to serve metadata requests.
*/
2: list<PrestoThriftHostAddress> hosts;
}
struct PrestoThriftHostAddress {
1: string host;
2: i32 port;
}
struct PrestoThriftPageResult {
/**
* Returns data in a columnar format.
* Columns in this list must be in the order they were requested by the engine.
*/
1: list<PrestoThriftBlock> columnBlocks;
2: i32 rowCount;
3: optional PrestoThriftId nextToken;
}
struct PrestoThriftNullableTableMetadata {
1: optional PrestoThriftTableMetadata tableMetadata;
}
struct PrestoThriftValueSet {
1: optional PrestoThriftAllOrNoneValueSet allOrNoneValueSet;
2: optional PrestoThriftEquatableValueSet equatableValueSet;
3: optional PrestoThriftRangeValueSet rangeValueSet;
}
struct PrestoThriftBlock {
1: optional PrestoThriftInteger integerData;
2: optional PrestoThriftBigint bigintData;
3: optional PrestoThriftDouble doubleData;
4: optional PrestoThriftVarchar varcharData;
5: optional PrestoThriftBoolean booleanData;
6: optional PrestoThriftDate dateData;
7: optional PrestoThriftTimestamp timestampData;
8: optional PrestoThriftJson jsonData;
9: optional PrestoThriftHyperLogLog hyperLogLogData;
10: optional PrestoThriftBigintArray bigintArrayData;
}
/**
* LOWER UNBOUNDED is specified with an empty value and an ABOVE bound
* UPPER UNBOUNDED is specified with an empty value and a BELOW bound
*/
struct PrestoThriftMarker {
1: optional PrestoThriftBlock value;
2: PrestoThriftBound bound;
}
struct PrestoThriftNullableToken {
1: optional PrestoThriftId token;
}
struct PrestoThriftDomain {
1: PrestoThriftValueSet valueSet;
2: bool nullAllowed;
}
struct PrestoThriftRange {
1: PrestoThriftMarker low;
2: PrestoThriftMarker high;
}
/**
* Presto Thrift service definition.
* This thrift service needs to be implemented in order to be used with Thrift Connector.
*/
service PrestoThriftService {
/**
* Returns available schema names.
*/
list<string> prestoListSchemaNames()
throws (1: PrestoThriftServiceException ex1);
/**
* Returns tables for the given schema name.
*
* @param schemaNameOrNull a structure containing schema name or {@literal null}
* @return a list of table names with corresponding schemas. If schema name is null then returns
* a list of tables for all schemas. Returns an empty list if a schema does not exist
*/
list<PrestoThriftSchemaTableName> prestoListTables(
1: PrestoThriftNullableSchemaName schemaNameOrNull)
throws (1: PrestoThriftServiceException ex1);
/**
* Returns metadata for a given table.
*
* @param schemaTableName schema and table name
* @return metadata for a given table, or a {@literal null} value inside if it does not exist
*/
PrestoThriftNullableTableMetadata prestoGetTableMetadata(
1: PrestoThriftSchemaTableName schemaTableName)
throws (1: PrestoThriftServiceException ex1);
/**
* Returns a batch of splits.
*
* @param schemaTableName schema and table name
* @param desiredColumns a superset of columns to return; empty set means "no columns", {@literal null} set means "all columns"
* @param outputConstraint constraint on the returned data
* @param maxSplitCount maximum number of splits to return
* @param nextToken token from a previous split batch or {@literal null} if it is the first call
* @return a batch of splits
*/
PrestoThriftSplitBatch prestoGetSplits(
1: PrestoThriftSchemaTableName schemaTableName,
2: PrestoThriftNullableColumnSet desiredColumns,
3: PrestoThriftTupleDomain outputConstraint,
4: i32 maxSplitCount,
5: PrestoThriftNullableToken nextToken)
throws (1: PrestoThriftServiceException ex1);
/**
* Returns a batch of index splits for the given batch of keys.
* This method is called if index join strategy is chosen for a query.
*
* @param schemaTableName schema and table name
* @param indexColumnNames specifies columns and their order for keys
* @param outputColumnNames a list of column names to return
* @param keys keys for which records need to be returned; includes only unique and non-null values
* @param outputConstraint constraint on the returned data
* @param maxSplitCount maximum number of splits to return
* @param nextToken token from a previous split batch or {@literal null} if it is the first call
* @return a batch of splits
*/
PrestoThriftSplitBatch prestoGetIndexSplits(
1: PrestoThriftSchemaTableName schemaTableName,
2: list<string> indexColumnNames,
3: list<string> outputColumnNames,
4: PrestoThriftPageResult keys,
5: PrestoThriftTupleDomain outputConstraint,
6: i32 maxSplitCount,
7: PrestoThriftNullableToken nextToken)
throws (1: PrestoThriftServiceException ex1);
/**
* Returns a batch of rows for the given split.
*
* @param splitId split id as returned in split batch
* @param columns a list of column names to return
* @param maxBytes maximum size of returned data in bytes
* @param nextToken token from a previous batch or {@literal null} if it is the first call
* @return a batch of table data
*/
PrestoThriftPageResult prestoGetRows(
1: PrestoThriftId splitId,
2: list<string> columns,
3: i64 maxBytes,
4: PrestoThriftNullableToken nextToken)
throws (1: PrestoThriftServiceException ex1);
}


001/* 002 * Units of Measurement API 003 * Copyright (c) 2014-2021, Jean-Marie Dautelle, Werner Keil, Otavio Santana. 004 * 005 * All rights reserved. 006 * 007 * Redistribution and use in source and binary forms, with or without modification, 008 * are permitted provided that the following conditions are met: 009 * 010 * 1. Redistributions of source code must retain the above copyright notice, 011 * this list of conditions and the following disclaimer. 012 * 013 * 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions 014 * and the following disclaimer in the documentation and/or other materials provided with the distribution. 015 * 016 * 3. Neither the name of JSR-385 nor the names of its contributors may be used to endorse or promote products 017 * derived from this software without specific prior written permission. 018 * 019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 020 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, 021 * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 022 * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE 023 * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES 024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED 026 * AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, 028 * EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 029 */ 030package javax.measure.format; 031 032import java.io.IOException; 033import java.text.ParsePosition; 034 035import javax.measure.Unit; 036 037/** 038 * Formats instances of {@link Unit} to a {@link String} or {@link Appendable} and parses a {@link CharSequence} to a {@link Unit}. 039 * 040 *
 041 *
Synchronization
 042 *
 043 *
 044 * Instances of this class are not required to be thread-safe. It is recommended to use separate format instances for each thread. If multiple threads 045 * access a format concurrently, it must be synchronized externally. 046 *
 047 * 048 * @author <a<EMAIL_ADDRESS>Dautelle 049 * @author <a<EMAIL_ADDRESS>Keil 050 * 051 * @version 2.0, July 3, 2020 052 * @since 1.0 053 * 054 * @see Unit 055 */ 056public interface UnitFormat { 057 /** 058 * Formats the specified {@link Unit}. 059 * 060 * @param unit 061 * the {@link Unit} to format, not {@code null} 062 * @param appendable 063 * the appendable destination. 064 * @return the appendable destination passed in with formatted text appended. 065 * @throws IOException 066 * if an error occurs while writing to the destination. 067 */ 068 Appendable format(Unit<?> unit, Appendable appendable) throws IOException; 069 070 /** 071 * Formats the specified {@link Unit}. 072 * 073 * @param unit 074 * the {@link Unit} to format, not {@code null} 075 * @return the string representation using the settings of this {@link UnitFormat}. 076 */ 077 String format(Unit<?> unit); 078 079 /** 080 * Attaches a system-wide label to the specified unit. 081 *
 082 * If the specified label is already associated to a unit the previous association can be discarded or ignored. Depending on the 083 * {@link UnitFormat} implementation, this call may be ignored if the particular unit already has a label. 084 *
 085 * If a {@link UnitFormat} implementation is explicitly immutable, similar to e.g. the result of Collections.unmodifiableList(), 086 * then an {@linkplain UnsupportedOperationException} may be thrown upon this call. 087 *
 088 * Since UnitFormat implementations often apply the Singleton pattern, system-wide means, the label applies to every instance of 089 * UnitFormatA implementing UnitFormat in this case, but not every instance of UnitFormatB or UnitFormatC both 090 * also implementing UnitFormat. If a UnitFormat #isLocaleSensitive() it is up to the implementation, whether the label is 091 * ignored, applied in a local-neutral manner (in addition to its local-sensitive information) or locale-specific. 092 *
 093 * 094 * @param unit 095 * the unit being labeled. 096 * @param label 097 * the new label for this unit. 098 * @throws IllegalArgumentException 099 * if the label is not a valid identifier. This may include characters not supported by a particular {@link UnitFormat} implementation 100 * (e.g. only ASCII characters for certain devices) 101 * @throws UnsupportedOperationException 102 * if the label operation is not supported by this {@link UnitFormat} 103 */ 104 void label(Unit<?> unit, String label); 105 106 /** 107 * Returns true if this {@link UnitFormat} depends on a Locale to perform its tasks. 108 *
 109 * In environments that do not support a Locale, e.g. Java ME, this usually returns false. 110 *
 111 * 112 * @return Whether this format depends on a locale. 113 */ 114 default boolean isLocaleSensitive() { 115 return false; 116 } 117 118 /** 119 * Parses a portion of the specified CharSequence from the specified position to produce a {@link Unit}. 120 * If parsing succeeds, then the index of the pos argument is updated to the index after the last character used. 121 * 122 * @param csq 123 * the CharSequence to parse. 124 * @param pos 125 * a ParsePosition object holding the current parsing index and error parsing index information as described above. 126 * @return the unit parsed from the specified character sub-sequence. 127 * @throws IllegalArgumentException 128 * if any problem occurs while parsing the specified character sequence (e.g. illegal syntax). 129 * @since 2.0 130 */ 131 Unit<?> parse(CharSequence csq, ParsePosition pos) throws IllegalArgumentException, MeasurementParseException; 132 133 /** 134 * Parses the text into an instance of {@link Unit}. 135 *
 136 * The parse must complete normally and parse the entire text. If the parse completes without reading the entire length of the text, an exception 137 * is thrown. If any other problem occurs during parsing, an exception is thrown. 138 *
 139 * 140 * @param csq 141 * the {@code CharSequence} to parse. 142 * @return the unit parsed from the specified character sequence. 143 * @throws MeasurementParseException 144 * if any problem occurs while parsing the specified character sequence (e.g. illegal syntax). 145 * @throws UnsupportedOperationException 146 * if the {@link UnitFormat} is unable to parse. 147 * @since 2.0 148 */ 149 Unit<?> parse(CharSequence csq) throws MeasurementParseException; 150}


Population genetic analyses for hierarchical analysis of partially clonal populations built upon the architecture of the 'adegenet' package.
| Version: | 2.8.1 |
| Depends: | R (≥ 2.15.1), adegenet (≥ 2.0.0) |
| Imports: | stats, graphics, grDevices, utils, vegan, ggplot2, phangorn, ape (≥ 3.1-1), igraph (≥ 1.0.0), methods, ade4, pegas, polysat, dplyr (≥ 0.4), rlang, boot, shiny, magrittr |
| Suggests: | testthat, knitr, rmarkdown, poweRlaw, cowplot, RClone |
| Published: | 2018-08-22 |
| Author: | Zhian N. Kamvar [cre, aut], Javier F. Tabima [aut], Sydney E. Everhart [ctb, dtc], Jonah C. Brooks [aut], Stacy A. Krueger-Hadfield [ctb], Erik Sotka [ctb], Brian J. Knaus [ctb], Patrick G. Meirmans [ctb], Niklaus J. Grunwald [ths] |
| Maintainer: | Zhian N. Kamvar <zkamvar at gmail.com> |
| BugReports: | https://github.com/grunwaldlab/poppr/issues |
| License: | GPL-2 | GPL-3 |
| URL: | https://github.com/grunwaldlab/poppr, https://grunwaldlab.github.io/poppr, https://grunwaldlab.github.io/Population_Genetics_in_R/ |
| NeedsCompilation: | yes |
| Citation: | poppr citation info |
| Materials: | README NEWS |
| CRAN checks: | poppr results |
| Reference manual: | poppr.pdf |
| Vignettes: |
Multilocus Genotype Analysis Data Import and Manipulation Algorightms and Equations |
| Package source: | poppr_2.8.1.tar.gz |
| Windows binaries: | r-devel: poppr_2.8.1.zip, r-release: poppr_2.8.1.zip, r-oldrel: poppr_2.8.1.zip |
| OS X binaries: | r-release: poppr_2.8.1.tgz, r-oldrel: poppr_2.8.1.tgz |
| Old sources: | poppr archive |
| Reverse depends: | popprxl |
| Reverse suggests: | adegenet, vcfR |
Please use the canonical form https://CRAN.R-project.org/package=poppr to link to this page.


@blackjok3r
my staking node of LABS crashed with
komodod: coins.cpp:564: const CTxOut& CCoinsViewCache::GetOutputFor(const CTxIn&) const: Assertion `coins && coins->IsAvailable(input.prevout.n)' failed.
Aborted (core dumped)
do you need anything from the node before I restart it?
(edited)


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Tamil ‘Arjun Reddy’ in Trouble, Gets Govt. Notice
by Manaswini KLooks like the controversy that was said to be not there with regard to ‘Adithya Varma‘ related to the misogynist stance came in a different way. Dhruv Vikram was served government notice for excessive smoking and drinking scenes in his debut film.
It’s not only just Dhruv Vikram who was served notices but also senior actress Radhika Sharat Kumar for featuring in cigar smoking scenes for her upcoming film ‘Market Raja MBBS’.
Radhika is playing a rough village woman role and was seen smoking a cigar in the posters that came out. These posters didn’t have the statutory warning about how smoking cigarettes is injurious to health. These scenes are punishable offences if the statutory warning wasn’t displayed.
For ‘Adithya Varma’, the controversy seems to have come from the other way. The aggressive misogynist behaviour of the lead actor didn’t come under criticism for Tamil Arjun Reddy, strangely.
Now, let’s see if the makers would opt to cut out the cigarette smoking and drinking scenes from the movie.


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ovf2ovp(1) Omega ovf2ovp(1) NAME ovf2ovp - convert a virtual font file and its associated font metric file into property-list format SYNOPSIS ovf2ovp [OPTIONS] OVFNAME[.ovf] [OFMNAME[.ofm] [OVPFILE[.ovp]]] DESCRIPTION ovf2ovp translates a virtual font (OVF) file, OVFNAME, and its companion font metric (OFM) file, OFMNAME, into a human-readable property-list for‐ mat. The program writes to standard output (by default) or to a file specified as OVPNAME. The program also works with TeX VF and TFM files, producing TeX VP files. (ovf2ovp is based on the WEB source code for vftovp(1).) OPTIONS -charcode-format=TYPE output character codes according to TYPE, which can be either `hex' or `ascii'. Default is `hex'. ascii specifes all ASCII letters and digits; hex gets you everything else. -help display a brief summary of syntax and options -verbose display progress reports -version output version information and exit FILES OVPFILE Omega Virtual Property List file OFMNAME Omega Font Metric file OVFNAME Omega Virtual Font file BUGS None known, but report any found to<EMAIL_ADDRESS>(mailing list). You should also check to see if the bug is also in vftovp(1). SEE ALSO omega(1), ofm2opl(1), ovp2ovf(1), pltotf(1), tftopl(1), vftovp(1), vptovf(1) Draft Manual for the Omega System (omega-manual.dvi). Web page: <http://www.gutenberg.eu.org/omega/> AUTHOR According to the WEB documentation: VFtoVP is an extended version of the program TFtoPL, which is part of the standard tex()ware library. The idea of a virtual font was inspired by the work of David R. Fuchs who designed a similar set of conventions in 1984 while developing a device driver for Arbor‐ Text, Inc. He wrote a somewhat similar program called AMFtoXPL. The primary authors of Omega are John Plaice<EMAIL_ADDRESS>and Yannis Haralambous<EMAIL_ADDRESS>This manual page was written by C.M. Connelly<EMAIL_ADDRESS>for the Debian GNU/Linux system. It may be used by other distributions without contacting the author. Any mistakes or omissions in the manual page are my fault; inquiries about or corrections to this manual page should be directed to me (and not to the primary author). Omega September 2000 ovf2ovp(1)


Place Your Bets: Tesla Model X Drag Races Audi E-Tron
The two EV crossovers are very close when they cross the finish line.
by Chris BruceFor many years, Tesla appeared to have an edge in the electric vehicle market by offering products with a combination of driving range and performance that more established automakers' EVs could match. The times are changing, though, because the Elon-Musk-helmed company is starting to face legitimate challengers. In this video, Fifth Gear puts one of them to the test by challenging a Tesla Model X against an Audi E-Tron in best two-out-of-three drag races.
Gallery: Tesla Model X Drag Races Audi E-Tron
Specifically, Fifth Gear uses the base Model X Long Range, rather than the hotter performance model that sacrifices some range for extra power. At this time, there's only one powertrain available in the E-Tron. However, spy shots suggest a hotter model is on the way.
More Tesla Drag Races:
When preparing for the drag race, the setup is completely different. The E-Tron requires a rather complicated process of putting the vehicle into launch mode, but the Tesla just only needs the driver to mash the pedal.
See More Of How the Audi E-Tron:
We'll only spoil the first race to keep this video exciting. The Tesla jumps to an early lead, but less than the length of the hood separate the two vehicles. The Model X never gives up its position in front. However, it only gains a little more distance on the Audi when the two of them cross the finish line.
The rest of the video showcases the other races. Without getting into the results, it's impressive that the two vehicles are consistently so close together when they cross the finish line. At least in a straight line, the Model X Long Range and E-Tron are close competitors.
Source: Fifth Gear via YouTube


{% extends 'templates/nhs_transaction_layout.html' %} {% block pageTitle %}NHS.UK prototyping kit{% endblock %} {% block content %} Prescribed item Item information Carmellose 0.5% eye drops 20 Prescription Number 2133212 Patient details Surname Hadworth Date of birth 18/9/1985 NHS Patient Number 343432342 What was dispensed? Supplier/manufacturer Number of items Pack size Pack price SubmitSkip {% endblock %}
Supplier/manufacturer
Number of items
Pack size
Pack price
SubmitSkip


| Type | Visibility | Attributes | Name | Initial | |||
|---|---|---|---|---|---|---|---|
| integer, | public | :: | bt | ||||
| integer, | public | :: | bts | ||||
| integer, | public | :: | sn | ||||
| integer, | public | :: | sns | ||||
| integer, | public | :: | we | ||||
| integer, | public | :: | wes | ||||
| integer, | public | :: | sls | ||||
| real(kind=r8), | public | :: | dx | ||||
| real(kind=r8), | public | :: | dy | ||||
| real(kind=r8), | public | :: | dt | ||||
| real(kind=r8), | public | :: | p_top | ||||
| integer, | public | :: | map_proj | ||||
| real(kind=r8), | public | :: | cen_lat | ||||
| real(kind=r8), | public | :: | cen_lon | ||||
| type(proj_info), | public | :: | proj | ||||
| logical, | public | :: | periodic_x | ||||
| logical, | public | :: | periodic_y | ||||
| logical, | public | :: | polar | ||||
| logical, | public | :: | scm | ||||
| integer, | public | :: | domain_size | ||||
| integer, | public | :: | localization_coord | ||||
| real(kind=r8), | public, | dimension(:), pointer | :: | znu | |||
| real(kind=r8), | public, | dimension(:), pointer | :: | dn | |||
| real(kind=r8), | public, | dimension(:), pointer | :: | dnw | |||
| real(kind=r8), | public, | dimension(:), pointer | :: | zs | |||
| real(kind=r8), | public, | dimension(:), pointer | :: | znw | |||
| real(kind=r8), | public, | dimension(:,:), pointer | :: | mub | |||
| real(kind=r8), | public, | dimension(:,:), pointer | :: | hgt | |||
| real(kind=r8), | public, | dimension(:,:), pointer | :: | latitude | |||
| real(kind=r8), | public, | dimension(:,:), pointer | :: | latitude_u | |||
| real(kind=r8), | public, | dimension(:,:), pointer | :: | latitude_v | |||
| real(kind=r8), | public, | dimension(:,:), pointer | :: | longitude | |||
| real(kind=r8), | public, | dimension(:,:), pointer | :: | longitude_u | |||
| real(kind=r8), | public, | dimension(:,:), pointer | :: | longitude_v | |||
| real(kind=r8), | public, | dimension(:,:,:), pointer | :: | phb | |||
| integer, | public | :: | type_u | ||||
| integer, | public | :: | type_v | ||||
| integer, | public | :: | type_w | ||||
| integer, | public | :: | type_t | ||||
| integer, | public | :: | type_qv | ||||
| integer, | public | :: | type_qr | ||||
| integer, | public | :: | type_hdiab | ||||
| integer, | public | :: | type_qndrp | ||||
| integer, | public | :: | type_qnsnow | ||||
| integer, | public | :: | type_qnrain | ||||
| integer, | public | :: | type_qngraupel | ||||
| integer, | public | :: | type_qnice | ||||
| integer, | public | :: | type_qc | ||||
| integer, | public | :: | type_qg | ||||
| integer, | public | :: | type_qi | ||||
| integer, | public | :: | type_qs | ||||
| integer, | public | :: | type_gz | ||||
| integer, | public | :: | type_refl | ||||
| integer, | public | :: | type_fall_spd | ||||
| integer, | public | :: | type_dref | ||||
| integer, | public | :: | type_spdp | ||||
| integer, | public | :: | type_qh | ||||
| integer, | public | :: | type_qnhail | ||||
| integer, | public | :: | type_qhvol | ||||
| integer, | public | :: | type_qgvol | ||||
| integer, | public | :: | type_u10 | ||||
| integer, | public | :: | type_v10 | ||||
| integer, | public | :: | type_t2 | ||||
| integer, | public | :: | type_th2 | ||||
| integer, | public | :: | type_q2 | ||||
| integer, | public | :: | type_ps | ||||
| integer, | public | :: | type_mu | ||||
| integer, | public | :: | type_tsk | ||||
| integer, | public | :: | type_tslb | ||||
| integer, | public | :: | type_sh2o | ||||
| integer, | public | :: | type_smois | ||||
| integer, | public | :: | type_2dflash | ||||
| integer, | public | :: | number_of_wrf_variables | ||||
| integer, | public, | dimension(:,:), pointer | :: | var_index | |||
| integer, | public, | dimension(:,:), pointer | :: | var_size | |||
| integer, | public, | dimension(:), pointer | :: | var_type | |||
| integer, | public, | dimension(:), pointer | :: | var_index_list | |||
| logical, | public, | dimension(:), pointer | :: | var_update_list | |||
| integer, | public, | dimension(:), pointer | :: | dart_kind | |||
| integer, | public, | dimension(:,:), pointer | :: | land | |||
| real(kind=r8), | public, | dimension(:), pointer | :: | lower_bound | |||
| real(kind=r8), | public, | dimension(:), pointer | :: | upper_bound | |||
| character(len=10), | public, | dimension(:), pointer | :: | clamp_or_fail | |||
| character(len=129), | public, | dimension(:), pointer | :: | description | |||
| character(len=129), | public, | dimension(:), pointer | :: | units | |||
| character(len=129), | public, | dimension(:), pointer | :: | stagger | |||
| character(len=129), | public, | dimension(:), pointer | :: | coordinates | |||
| integer, | public, | dimension(:,:,:,:), pointer | :: | dart_ind |


Roundup Tracker Templates
The templates distributed with Roundup are stored in the “share” directory nominated by Python. On Unix this is typically /usr/share/roundup/templates/ (or /usr/local/share...) and on Windows this is c:\python22\share\roundup\templates\.
The template loading looks in four places to find the templates:
- share - eg. <prefix>/share/roundup/templates/*. This should be the standard place to find them when Roundup is installed.
- <roundup.admin.__file__>/../templates/*. This will be used if Roundup’s run in the distro (aka. source) directory.
- <current working dir>/*. This is for when someone unpacks a 3rd-party template.
- <current working dir>. This is for someone who “cd”s to the 3rd-party template dir.
Templates contain:
- modules schema.py and initial_data.py
- directories html, detectors and extensions (with appropriate contents)
- template “marker” file TEMPLATE-INFO.txt, which contains the name of the template, a description of the template and its intended audience.
An example TEMPLATE-INFO.txt:
Name: classic
Description: This is a generic issue tracker that may be used to track bugs,
feature requests, project issues or any number of other types
of issues. Most users of Roundup will find that this template
suits them, with perhaps a few customisations.
Intended-For: All first-time Roundup users


Before Change
name)
if with_raw_actions:
return actions, log_pis, raw_actions
return actions, log_pis
After Change
)
raw_actions = distribution.x_t
actions = tf.tanh(raw_actions) if self._squash else raw_actions
return_list = [actions]
// TODO: should always return same shape out
// Figure out how to make the interface for `log_pis` cleaner
if with_log_pis:
log_pis = self._log_pis_for_raw(observations, raw_actions,
name)
return_list.append(log_pis)
if with_raw_actions:
return_list.append(raw_actions)
// not sure the best way of returning variable outputs
if len(return_list) > 1:
return return_list