|
Bullet Collision Detection & Physics Library
|
#include <btSoftBody.h>
Public Attributes | |
| btScalar | m_kLST |
| btScalar | m_kAST |
| btScalar | m_kVST |
| int | m_flags |
| Public Attributes inherited from btSoftBody::Element | |
| void * | m_tag |
Additional Inherited Members | |
| Public Member Functions inherited from btSoftBody::Element | |
| Element () | |
Definition at line 235 of file btSoftBody.h.
| int btSoftBody::Material::m_flags |
Definition at line 240 of file btSoftBody.h.
| btScalar btSoftBody::Material::m_kAST |
Definition at line 238 of file btSoftBody.h.
| btScalar btSoftBody::Material::m_kLST |
Definition at line 237 of file btSoftBody.h.
| btScalar btSoftBody::Material::m_kVST |
Definition at line 239 of file btSoftBody.h.


General Configuration
The basic cluster setup involves editing the blur-site.properties and the blur-env.sh files in the $BLUR_HOME/conf directory. It is recommended that a standalone ZooKeeper be setup. Also a modern version of Hadoop with append support is required for proper data management (the write ahead log requires the sync operation).
Caution
If you setup a standalone ZooKeeper you will need to configure Blur to NOT manage the ZooKeeper. You will need to edit blur-env.sh file:export BLUR_MANAGE_ZK=false
blur-site.properties
# The ZooKeeper connection string, consider adding a root path to the string, it
# can help when upgrading Blur.
# Example: zknode1:2181,zknode2:2181,zknode3:2181/blur-0.2.4
#
# NOTE: If you provide the root path "/blur-0.2.4", that will have to be manually
# created before Blur will start.
blur.zookeeper.connection=<IP_ADDRESS>
# If you are only going to run a single shard cluster then leave this as default.
blur.cluster.name=default
# Sets the default table location in hdfs. If left null or omitted the table uri property in
# the table descriptor will be required for all tables.
blur.cluster.default.table.uri=hdfs://namenode/blur/tables
Default Properties
| Property | Description |
Hadoop
The current version of Blur has Hadoop 1.2.1 embedded in the "apache-blur-*/lib/hadoop-1.2.1" path. However if you are using a different version of Hadoop or want Blur to use the Hadoop configuration in your installed version you will need to set the "HADOOP_HOME" environment variable in the "blur-env.sh" script found in "apache-blur-*/conf/".
# Edit the blur-env.sh
export HADOOP_HOME=<path to your Hadoop install directory>
Controller Server Configuration
blur-site.properties
These are the default settings for the shard server that can be overridden in the blur-site.properties file. Consider increasing the various thread pool counts (*.thread.count). The blur.controller.server.remote.thread.count is very important to increase for larger clusters, basically one thread is used per shard server per query. Some production clusters have set this thread pool to 2000 or more threads.
Default Properties
| Property | Description |
blur-env.sh
# JAVA JVM OPTIONS for the controller servers, jvm tuning parameters are placed here.
# Consider adding the -XX:OnOutOfMemoryError="kill -9 %p" option to kill jvms that are failing due to memory issues.
export BLUR_CONTROLLER_JVM_OPTIONS="-Xmx1024m -Djava.net.preferIPv4Stack=true "
# Time to sleep between controller server commands.
export BLUR_CONTROLLER_SLEEP=0.1
# The of controller servers to spawn per machine.
export BLUR_NUMBER_OF_CONTROLLER_SERVER_INSTANCES_PER_MACHINE=1
Shard Server Configuration
Minimum Settings to Configure
It is highly recommended that the ulimits are increase on the server specifically:
- open files
- max user processes
In Hadoop the dfs.datanode.max.xcievers should be increased to at least 4096 if not more.
<property>
<name>dfs.datanode.max.xcievers</name>
<value>4096</value>
</property>
In blur-env.sh set the cache memory for the shard processes. DO NOT over allocate this will likely crash your server.
-XX:MaxDirectMemorySize=13g
Caution
Swap can kill java perform, you may want to consider disabling swap.blur-site.properties
These are the default settings for the shard server that can be overridden in the blur-site.properties file. Consider increasing the various thread pool counts (*.thread.count). Also the blur.max.clause.count sets the BooleanQuery max clause count for Lucene queries.
Default Properties
| Property | Description |
blur-env.sh
# JAVA JVM OPTIONS for the shard servers, jvm tuning parameters are placed here.
export BLUR_SHARD_JVM_OPTIONS="-Xmx1024m -Djava.net.preferIPv4Stack=true -XX:MaxDirectMemorySize=256m "
# Time to sleep between shard server commands.
export BLUR_SHARD_SLEEP=0.1
# The of shard servers to spawn per machine.
export BLUR_NUMBER_OF_SHARD_SERVER_INSTANCES_PER_MACHINE=1
Block Cache
Why
HDFS is a great filesystem for streaming large amounts data across large scale clusters. However the random access latency is typically the same performance you would get in reading from a local drive if the data you are trying to access is not in the operating systems file cache. In other words every access to HDFS is similar to a local read with a cache miss. There have been great performance boosts in HDFS over the past few years but it still can't perform at the level that a search engine needs.
Now you might be thinking that Lucene reads from the local hard drive and performs great, so why wouldn't HDFS perform fairly well on it's own? However most of time the Lucene index files are cached by the operating system's file system cache. So Blur has it's own file system cache allows it to perform low latency data look-ups against HDFS.
V2 Block Cache Configuration
How
The Google concurrentlinkedhashmap library is at the center of the block cache in the shard servers. In version 2, which is enabled by default, the slab allocation is no longer used. Here is a discussion of the motivations behind the rewrite.
Below are the properties related to V2 of the block cache.
| blur.shard.block.cache.total.size |
This is used to limit the amount of off heap cache size. By default the cache is 64MB less than the -XX:MaxDirectMemorySize, so if you want the block cache to use less than that amount then set this value. |
| blur.shard.block.cache.v2.fileBufferSize |
This is the size of the buffer when accessing hdfs, by default it is set to 8K. However in most systems this should probably be increased to something closer to 64K. Use the "fstune" command in the shell to help figure out what the best buffer size should be in your system. |
| blur.shard.block.cache.v2.cacheBlockSize |
This is the size of the cache entry for any file that is NOT explicitly defined. Most of the time you are going to want this value to equal the "blur.shard.block.cache.v2.fileBufferSize" value. |
| blur.shard.block.cache.v2.cacheBlockSize.<ext> |
This is the size of the cache entry for any file that has the given extension. By default "filter" is the only file that has a none default cache block size, it's current value is 32MB. This means that unless file is larger than 32MB in size, it will be stored as a single value in the cache. For cached filters this is required for performance during the transversal of the logical bitset stored in the file. |
| blur.shard.block.cache.v2.store |
This property defines how the cache will be stored, by default it's off heap. This means that it is not accounted for in the used heap section that you can find in jconsole or visualvm. However you can track it's size through the "top" command in the shell, MBeans in jconsole, or the metrics call via the Blur thrift API. |
| blur.shard.block.cache.v2.read.default |
This property defines the default action to cache or not to cache the data during a read operation. By default this is true. This will be the action taken if the file extension is not found in either the "blur.shard.block.cache.v2.read.cache.ext" property or the "blur.shard.block.cache.v2.read.nocache.ext" property. |
| blur.shard.block.cache.v2.read.cache.ext |
This property defines a comma separated list of file extensions that are to be cached during a read operations. |
| blur.shard.block.cache.v2.read.nocache.ext |
This property defines a comma separated list of file extensions that are NOT to be cached during a read operations. If the file extension is in the "blur.shard.block.cache.v2.read.cache.ext" property, it will have no effect in this list. |
| blur.shard.block.cache.v2.write.default |
This property defines the default action to cache or not to cache the data during a write operation. By default this is true. This will be the action taken if the file extension is not found in either the "blur.shard.block.cache.v2.write.cache.ext" property or the "blur.shard.block.cache.v2.write.nocache.ext" property. |
| blur.shard.block.cache.v2.write.cache.ext |
This property defines a comma separated list of file extensions that are to be cached during a write operations. |
| blur.shard.block.cache.v2.write.nocache.ext |
This property defines a comma separated list of file extensions that are NOT to be cached during a write operations. If the file extension is in the "blur.shard.block.cache.v2.write.cache.ext" property, it will have no effect in this list. |
V1 Block Cache Configuration
How
On shard server start-up Blur creates 1 or more block cache slabs blur.shard.blockcache.slab.count that are each 128 MB in size. These slabs can be allocated on or off the heap blur.shard.blockcache.direct.memory.allocation. Each slab is broken up into 16,384 blocks with each block size being 8K. Then on the heap there is a concurrent LRU cache that tracks what blocks of what files are in which slab(s) at what offset. So the more slabs of cache you create the more entries there will be in the LRU thus more heap.
Configuration
Scenario: Say the shard server(s) that you are planning to run Blur on have 32G of ram. These machines are probably also running HDFS data nodes as well with very high xcievers (dfs.datanode.max.xcievers in hdfs-site.xml) say 8K. If the data nodes are configured with 1G of heap then they may consume up to 4G of memory due to the high thread count because of the xcievers.
Auto Configuration
In the blur-env.sh file you would need to change BLUR_SHARD_JVM_OPTIONS to include "-XX:MaxDirectMemorySize=12g" and possibly "-XX:+UseLargePages" depending on your Linux setup. If you leave the blur.shard.blockcache.slab.count to the default -1 the shard startup will automatically detect the -XX:MaxDirectMemorySize size and automatically use almost all of the memory. By default the JVM has 64m in reserve for direct memory so by default Blur leaves at least that amount available to the JVM.
Custom Configuration
Again in the blur-env.sh file you would need to change BLUR_SHARD_JVM_OPTIONS to include "-XX:MaxDirectMemorySize=13g" and possibly "-XX:+UseLargePages" depending on your Linux setup. I set the MaxDirectMemorySize to more than 12G to make sure we don't hit the maximum limit and cause a OOM exception, this does not reserve 13G it's a control to not allow more than that.  This is telling blur to allocate 96 128MB slabs of memory at shard server start-up. Note, that the first time you do this that the shard servers may take long time to allocate the memory. This is because the OS could be using most of that memory for it's own filesystem caching and it will need to unload it which may cause some IO due the cache synching to disk.
Also the blur.shard.blockcache.direct.memory.allocation is set to true by default, this will tell the JVM to try and allocate the memory off heap. If you want to run the slabs in the heap (which is not recommended) set this value to false.
Metrics
Internally Blur uses the Metrics library from Coda Hale (http://metrics.codahale.com/). So by default all metrics are available through JMX here is a screenshot of what is available in the Shard server.
Shard Server - MBean Screenshot
Configuring Other Reporters
New reporters can be added configured in the blur-site.properties. Multiple reporters can be configured.
Example
blur.metrics.reporters=GangliaReporter
blur.metrics.reporter.ganglia.period=3
blur.metrics.reporter.ganglia.unit=SECONDS
blur.metrics.reporter.ganglia.host=ganglia1
blur.metrics.reporter.ganglia.port=8649
Reporters to Enable
blur.metrics.reporters=[ConsoleReporter,CsvReporter,GangliaReporter,GraphiteReporter]
ConsoleReporter
blur.metrics.reporter.console.period=[5]
blur.metrics.reporter.console.unit=[NANOSECONDS,MICROSECONDS,MILLISECONDS,SECONDS,MINUTES,HOURS,DAYS]
CsvReporter
blur.metrics.reporter.csv.period=[5]
blur.metrics.reporter.csv.unit=[NANOSECONDS,MICROSECONDS,MILLISECONDS,SECONDS,MINUTES,HOURS,DAYS]
blur.metrics.reporter.csv.outputDir=[.]
GangliaReporter
blur.metrics.reporter.ganglia.period=[5]
blur.metrics.reporter.ganglia.unit=[NANOSECONDS,MICROSECONDS,MILLISECONDS,SECONDS,MINUTES,HOURS,DAYS]
blur.metrics.reporter.ganglia.host=[localhost]
blur.metrics.reporter.ganglia.port=[-1]
blur.metrics.reporter.ganglia.prefix=[""]
blur.metrics.reporter.ganglia.compressPackageNames=[false]
GraphiteReporter
blur.metrics.reporter.graphite.period=[5]
blur.metrics.reporter.graphite.unit=[NANOSECONDS,MICROSECONDS,MILLISECONDS,SECONDS,MINUTES,HOURS,DAYS]
blur.metrics.reporter.graphite.host=[localhost]
blur.metrics.reporter.graphite.port=[-1]
blur.metrics.reporter.graphite.prefix=[""]


public interface CycAddress extends Comparable, Serializable
toString()
method to a string
representation as host:port
.| Modifier and Type | Field and Description |
|---|---|
static int |
STANDARD_ASCII_PORT_OFFSET
Default offset for a Cyc server's ASCII port.
|
static int |
STANDARD_CFASL_PORT_OFFSET
Default offset for a Cyc server's binary (CFASL) port.
|
static int |
STANDARD_HTTP_PORT_OFFSET
Default offset for a Cyc server's Subl HTTP port.
|
static int |
STANDARD_SERVLET_PORT_OFFSET
Default offset for a Cyc server's Servlet port.
|
| Modifier and Type | Method and Description |
|---|---|
static CycAddress |
fromAddress(CycAddress address)
Creates a new CycAddress from an existing CycAddress.
|
static CycAddress |
fromAddress(CycAddress address,
Integer concurrencyLevel)
Creates a new CycAddress from an existing CycAddress, but with a new concurrencyLevel.
|
static CycAddress |
fromAddressWithDefaults(CycAddress address,
Integer defaultConcurrencyLevel)
Creates a new CycAddress from an existing CycAddress, setting the concurrency level if
unspecified in the original address.
|
static CycAddress |
fromString(String string)
Creates a new CycAddress instance from a string matching the format
host:port . |
static CycAddress |
get(String hostName,
int basePort)
Creates a CycAddress for the given hostName and basePort.
|
static CycAddress |
get(String hostName,
int basePort,
Integer concurrencyLevel)
Creates a CycAddress for the given hostName, basePort, and concurrencyLevel.
|
Integer |
getBasePort()
The Cyc server's base port number.
|
Integer |
getCfaslPort()
The Cyc server's binary (CFASL) communications port number.
|
Optional<Integer> |
getConcurrencyLevel()
Number of simultaneous jobs this server can handle, if used in the server pool.
|
String |
getHostName()
The server's host name.
|
Integer |
getHttpPort()
The Cyc server's SubL HTTP server port number.
|
Integer |
getPort()
The server's port number.
|
String |
getResolvedHostName()
Returns the resolved hostname of this address.
|
Integer |
getServletPort()
The Cyc server's Servlet HTTP server port number.
|
boolean |
isDefined()
Checks whether the CycAddress instance contains enough information to be useful (i.e., a
plausible hostname and base port).
|
static boolean |
isValidString(String string)
Tests whether a String could be deserialized into a valid CycAddress.
|
CycAddress |
toBaseAddress()
Returns a CycAddress consisting only of the host name and base port, excluding optional fields
like
getConcurrencyLevel() . |
String |
toResolvedAddressString()
Returns a string representation of the server address using the resolved hostname, in
the format
host:port . |
String |
toString()
Returns a string representation of the server address in the format
host:port . |
compareTo
static final int STANDARD_ASCII_PORT_OFFSET
static final int STANDARD_HTTP_PORT_OFFSET
static final int STANDARD_SERVLET_PORT_OFFSET
static final int STANDARD_CFASL_PORT_OFFSET
static CycAddress get(String hostName, int basePort, Integer concurrencyLevel)
hostName
- basePort
- concurrencyLevel
- static CycAddress get(String hostName, int basePort)
hostName
- basePort
- static boolean isValidString(String string)
host:port
, the host must be a valid hostname or IP address, and the port
must be a valid port integer. Any string which is validated by this method should be a
well-formed input for fromString(String string)
.string
- to evaluatestatic CycAddress fromString(String string)
host:port
.string
- a string matching the format host:port
or
host:port:concurrencyLevel
.static CycAddress fromAddress(CycAddress address, Integer concurrencyLevel)
address
- CycAddress from which to create the poolconcurrencyLevel
- the concurrency level for the new CycAddressstatic CycAddress fromAddress(CycAddress address)
address
- CycAddress from which to create the new CycAddressstatic CycAddress fromAddressWithDefaults(CycAddress address, Integer defaultConcurrencyLevel)
address
- CycAddress from which to create the pooldefaultConcurrencyLevel
- the default concurrency level for the CycAddress, if unspecifiedString getHostName()
Integer getPort()
String getResolvedHostName()
getHostName()
.
Note that this value is not used by #hashCode()
or #equals(Object)
.
Equality is based off of the explicitly-specified values.
String
the resolved hostnameInteger getBasePort()
Integer getCfaslPort()
Integer getHttpPort()
Integer getServletPort()
Optional<Integer> getConcurrencyLevel()
boolean isDefined()
CycAddress toBaseAddress()
getConcurrencyLevel()
.String toResolvedAddressString()
host:port
. In other words, this methods behaves like
toString()
, but retrieves the hostname via getResolvedHostName()
.Copyright © 2015–2018 Cycorp, Inc. All rights reserved.


Basic dile-time-select demo
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Based on how you answered the survey, you should learn....


Getting Started
I've been home from TC18 just over a week, and came back full of energy and enthusiasm to continue building my online Tableau presence. This is similar to how I felt after attending my first conference in 2017, but now I’ve got a base to build upon. In 2017, I returned home excited about the Tableau Community and how open and helpful the community is. With that in mind, I set out with the goal to become a part of that community.
The first step was building up my Tableau Public profile. Before TC17, I had published 9 vizzes to my profile over the course of 2 years. Since TC17, I’ve published an additional 70 vizzes. I’d call this mission accomplished on step 1.
Step two was figuring out a way that I could engage with the community. After some encouragement from Zen Master Ken Flerlage, I started a Twitter account. I never thought I would do this, but found the content that is shared on Twitter to be helpful, interesting and entertaining.
At the beginning of 2018, I began participating in some of the weekly Makeover Monday and Workout Wednesday challenges.  However, I wasn’t always in love with the data. Talking with some colleagues, I found that I really gravitate towards historic data. In these conversations, the idea was born for Throwback Thursday, that would eventually become Throwback Data Thursday.
I realized that I was stepping into an area of the Tableau Community that was already pretty saturated in weekly challenges, but wanted to find an avenue to engage with the community and hold me accountable for creating a weekly viz. I also really liked the opportunity to write about what I was doing. Participation by the larger community has been hit or miss, but has been building in the past couple months leading into TC18. So that’s step 2 mostly covered.
In preparation for TC18, I decided to fundamentally alter my approach to the conference. At my first conference, I felt awkward and shy, preferring to attend the breakout sessions given by Zen Masters and Tableau trendsetters that I knew about, then leaving without saying hello, or introducing myself. This year, I still structured my schedule primarily by speakers (and content too of course), but was focused on making connections with the people that I’ve been engaging with over Twitter. I actually met and spoke with several people and strengthened the relationships that I’ve built over the past year.
The culmination of the conference and my efforts was Fanalytics on the last day of the conference. Hearing Lindsay Betzendahl speak about building your tribe and her road to becoming active in the community. Her story was similar to the path I’ve taken, and encouraged me to take the next step in my Tableau Community journey.
To date, though interacting with the community, I’ve been focused mostly on my growth. However, discussions at TC18 (and Fanalytics in particular) made me realize that, not only was it time to give back to the community, but that I was capable to give back. So, here I am, starting this blog. I’m sure I’ll continue to grow my Tableau, DataViz and other professional skills, but I’m also hoping to provide content that inspires, educates and drives the Tableau Community forward. Stay tuned for what I hope to be a fun ride!


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{% extends "header.html" %} {% block body %}
The If-Else statement is designed to build on the if statement's logic. Here, we ask if something is the case, and, if it is we do something. Then we say otherwise, which is contingent on the previous if statement, do something else. If the previous if statement is true, then the else will not run. If the if statement is false, then the else statement will run.
Here's an example:
x = 5 y = 8 if x > 55: print('x is greater than 55') else: print('x is not less than 55')
So first we ask if x is greater than 55. It is not, therefor the else statement runs.
If we instead do:
x = 5 y = 8 if x < 55: print('x is less than 55') else: print('x is not less than 55')
...asking if x is less than 55, which it is, so the else statement does not run.
It is important to note that the else statement only applies to the most recent if statement. You can stack multiple if statements, but the else statement will only be contingent on the if statement that is right above it.


CHP with modulating power output
Path: CARNOT/???????
Purpose
This block calculates mass flow rate, outlet flow temperature, fuel and electrical power of a mini-CHP with modulating power.
Description
The engine speed of this CHP depends on the return flow temperature of the consumer circuit T_return_load,
the flow setpoint temperature T_flow_setpoint and temperatures of flow T_flow and return flow T_return of the CHP.
T_return_load can be, as circumstances require, a storage temperature or the return flow temperature.
The modulation is directly implemented on the heating power because of the linear connection between engine speed
and heating power.
During the adjustable start-up phase the CHP runs with inputed initial heating power.
Then, the CHP pass over to the ramp-up phase and runs with maximum heating power.
As soon as T_flow has reached 60°C the CHP pass over to the control phase.
During the control phase the heating power is readjusted after an inputed readjustment intervall.
The generated electrical power and fuel power are based on measured data of a modulating mini-CHP called "Ecopower"
from Vaillant with a heating power range from 3,5 to 12,5 kW.
The electrical power is calculated by an inputed fraction parameter f_P_el that refers to the heating power.
The fuel power is calculated by the factor f_P_gas multiplied with the heating power. P_gas_factor is calculated
by linear interpolation between 1.79 at minimum heating power and 1.5 at maximum heating power (f_P_gas_lookup-table).
The model enables a free scalability of the heating power. It is therefor needed to enter the desired heating power
range and initial heating power. The maximum mass flow of the pump and thermal capacity of the CHP are linearly
resized according to the relation between inputed maximum heating power and maximum heating power of the basic unit.
The model includes a return temperature raising facility. A return setpoint temperature is calculated depending on
heating power and flow setpoint temperature. The thermostatic mixer is located in the return flow of the CHP.
Thermal and electrical efficiency are calculated and summarised in a data output vector.
Inputs:
Outputs:
Parameters and Dialog Box
Characteristics
Direct Feedthrough Yes
Sample time Inherited from driving block
Vectorized No


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Get a quick glance of various styles & themes available to customize AnyPicker.
Open on supported browser on your device (desktop/mobile) to get first hand experience of using AnyPicker. Try all possible customizations using listed examples for getting a better understanding of AnyPicker.
Explore full set of functions, parameters, settings etc using a well documented AnyPicker manual. In case you still have doubts, please contact us at [nehakadam9 at gmail dot com].


Hi there! Nice to meet you!
I'm a Berkeley Bear.
A Code Enthusiast
A Corgi Connoisseur
Hello, World. I'm Michael.
About.py
>>> from MyLife import *
>>> def contact():
inSchool = True
while inSchool: return<EMAIL_ADDRESS>>>> Education
{'University': UC Berkeley,
'Major': Computer Science,
'Graduation': Fall 2017 }
>>> Interests
['teaching', 'tennis', 'streetwear', 'years&years', 'vlogging', 'petting dogs', 'tetris', 'chess', 'super smash', 'quinoa', 'tumblr']
>>> Coursework
{'CS61A:' [Python, SQL, Scheme],
'CS61B:' [Java, Data Structures],
'CS61C:' [C, Logisim, MIPS],
'CS70: ' [Proofs, Probability, Graph Theory],
'CS168:' [TCP/IP, Routing Algorithms, Network Architecture],
'CS170:' [Efficient Algorithms, Dynamic Programming],
'CS188:' [Artificial Intelligence, Learning Algorithms],
'CS186:' [Databases],
'CS161:' [Security],
'CS162:' [Operating Systems] }
>>> toLearn(inFreeTime)
Flask
Android Dev
ReactJS
TensorFlow
>>> print(Github)
'A commit a day keeps complacency at bay!'
I love teaching and providing students with the resources and tools necessary to learn fundamental CS concepts. These culminated resources will be targeted towards topics I've seen students struggle with while lab assisting, tutoring, and teaching section and presented in a way which hopefully dispels misconceptions. Happy learning!
During my sophomore summer, I was a software engineering intern on the anti-piracy team at NBC in Los Angeles! I write about my experience, sprinkle in some quick introspection, and complain about how I went on that Harry Potter ride, like, 20 times.
Summer of junior year I worked at a super fun startup in SF SOMA. Due to the nature of startups, I was all over the tech stack, but my main focus was the backend API for the new Fivestars feature, Universal Status! Click ahead if you want to see my final presentation (it's probably confusing if you weren't there to hear me talk about it, lol.)
In my free time I like making birds that have a mind of their own. Try asking birdobot for the weekly weather update or your daily horoscope! Guaranteed to be poop-free in 140 characters or less. Made with Python and a whole lotta API calls.
My team and I went to CalHacks 3.0 this year! We built a mental health tracker app which records the progress of a user's mental health through emotion sentiment analysis using the IBM Watson API. We used D3.js for graph visualizations, Flask on the backend, and with HTML, CSS, Javascript, JQuery on the frontend.


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Sample GANSynth note


Indonesia buries more than 1,000 cholera-hit pigs
MEDAN: More than 1,000 cholera-stricken pigs have been buried in Indonesia after their decaying carcasses were plucked from local waterways, a government official said Tuesday (Nov 12).
Hundreds more swines are still floating in rivers and a lake near Medan, the capital of North Sumatra province, as police search for suspects who discarded their bodies.
"They were abandoned about eight days ago so they're decaying and it smelled very bad," local official Muhammad Yunus told AFP.
"We will keep cleaning them up and burying the carcasses until they're gone because people have been complaining about it," he added.
Some 6,000 pigs have died across North Sumatra since September with many dumped into local waterways.
Lab tests found that the animals died of hog cholera but officials said they are also testing to see if any were stricken with African swine fever. Neither are believed to pose a risk to humans.
In 2017, a hog cholera outbreak in Indonesia's East Nusa Tenggara province killed more than 10,000 pigs, causing severe financial losses for local farmers.


Created by Rajendrasinh Parmar / @RAJENDRASINH_09
You will need Node.js and Npm for this demo. Go here if you don't have them installed.
npm install -g typescript
Check if typescript is installed properly with following command.
tsc -v
tsc main.ts
Can also compile multiple files at once
# Will result in separate .js files: main.js worker.js.
tsc main.ts worker.ts
Can also compile by applying wildcards
# Compiles all .ts files in the current folder. Does NOT work recursively.
tsc *.ts
# Initializes a watcher process that will keep main.js up to date.
tsc main.ts --watch
More advanced TypeScript users can also create a tsconfig.json file, consisting of various build settings.
You can read more about tsconfig.json in the TypeScript docs here
my_arr: number[]; or my_arr: Array<number>
var name: string = 'Rajendrasinh', // String
age: number = 26, // Numeric
// Alternatively, you can omit the type declaration:
// var name = 'Rajendrasinh';
// The function expects a string and an integer.
// It doesn't return anything so the type of the function itself is void.
function speak(name: string, age: number): void {
console.log("Hello " + name + " you are" + age + " old");
}
speak(name, age);
// The given type is boolean, the provided value is a string.
var isSwitchOn: boolean = "I haven't checked";
main.ts(1,5): error TS2322: Type 'string' is not assignable to type 'boolean'.
Same is true for passing invalid type of arguments to the function
// Here we define our Person interface, its properties, and their types.
interface Person {
name: string;
age: number;
}
// We tell our function to expect an object that fulfils the Person interface.
// This way we know that the properties we need will always be available.
function speak(person: Person): void{
console.log("Hello, " + person.name + " you are " + person.age + " years old.");
}
// We define an object that has all of the properties the Person interface expects.
// Notice that types will be inferred automatically.
var person1 = {
name: "Rajendrasinh",
age: 26
}
speak(person1);
TypeScript offers a class system that is very similar to other OOP languages like Java, C#.
Since the most recent JavaScript update ECMAScript 2015, classes are native to vanilla JS and can be used without TypeScript.
The two implementation are very similar but have their differences, TypeScript being a bit more strict.
class Person {
// Our properties:
// By default they are public, but can also be private or protected.
name: string;
age: number;
// A straightforward constructor.
constructor(name: string, age: number) {
// The this keyword is mandatory.
this.name = name;
this.age = age;
}
// Methods
print(): void {
console.log("Hello " + this.name + ".Your Age is " + this.age)
}
}
// Create a new instance of the Person class.
var personObj = new Menu("Rajendrasinh", 26);
// Call the print method.
personObj.print();
class Employee extends Person {
// Properties are inherited
employeeId: number
// A new constructor has to be defined.
constructor(name: string, age: number, employeeId: number) {
this.name = name;
this.employeeId = this.employeeId;
this.age = age;
}
// Just like the properties, methods are inherited from the parent.
// However, we want to override the print() function so we redefine it.
print(): void{
console.log("Hello " + this.name + ". Your Age is " + this.age + ". Your Employee ID is " + this.employeeId);
}
}
// Create a new instance of the Employee class.
var employeeObj = new Employee("Rajendrasinh", 26, 319);
employeeObj.print();
Generics are templates that allow the same function to accept arguments of various different types
// The after the function name symbolizes that it's a generic function.
// When we call the function, every instance of T will be replaced with the actual provided type.
// Receives one argument of type T,
// Returns an array of type T.
function genericFunc(argument: T): T[] {
var arrayOfT: T[] = []; // Create empty array of type T.
arrayOfT.push(argument); // Push, now arrayOfT = [argument].
return arrayOfT;
}
var arrayFromString = genericFunc("beep");
console.log(arrayFromString[0]); // "beep"
console.log(typeof arrayFromString[0]) // String
var arrayFromNumber = genericFunc(42);
console.log(arrayFromNumber[0]); // 42
console.log(typeof arrayFromNumber[0]) // number


Israel says it has completed Gaza strikes after rocket fire
Israel says it has completed a series of airstrikes on targets linked to the Islamic Jihad militant group in Gaza, after rocket fire that rattled a day-old truce.
The military statement indicated that Israel was willing to abide by the ceasefire if there are no additional rocket attacks.
It said Israel struck a military compound, a rocket-manufacturing site and the headquarters of a militant group in the town of Khan Younis.
The airstrikes came after a barrage of rockets late Thursday. There were no immediate reports of casualties on either side.
The situation was calm on Friday, but the truce could be tested later in the day when Hamas, the Islamic militant group that rules Gaza, holds its weekly demonstrations along the frontier.
Hamas stayed out of the most recent fighting as both it and Israel appeared keen to limit its scope.
The unofficial ceasefire that began early Thursday ended a two-day escalation triggered by Israel’s targeted killing of an Islamic Jihad commander.
The fighting killed 34 Palestinians, including 16 civilians.
Palestinian militants fired more than 450 rockets toward Israel, paralysing much of southern Israel without causing any deaths or serious injuries.
Islamic Jihad announced the Egyptian-brokered ceasefire, claiming it had extracted several concessions from Israel.
Israel does not generally comment on informal understandings with militant groups and said only that it would halt fire as long as the militants did the same.
The truce angered many Islamic Jihad supporters, who held protests across Gaza.
A barrage of rockets fired into Israel late Thursday, which Israel said were intercepted by its missile defences, may have been an expression of discontent with the militant group’s leadership.
Unlike in previous rounds of violence, the more powerful Hamas stayed on the sidelines, adhering to understandings reached through Egyptian mediators after previous rounds of fighting with Israel.
Both militant groups are committed to Israel’s destruction, but Islamic Jihad is seen as more radical and has closer ties to Iran.
Hamas was set to hold weekly demonstrations along the Gaza perimeter fence later on Friday.
The often violent protests have been restrained in recent weeks as part of the understandings reached through Egypt, and it was unclear how many protesters would turn out amid the latest tensions.


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DANCING AT LUGHNASA (US/Irish) A review by Mark R. Leeper in bullet-list form from the Toronto Internation Film Festival
CAPSULE: Change comes to a household of five unmarried sisters during the Donegal, Ireland summer of 1936. Some well-observed performances, but this is not a film in which a whole not happens. It is unusual for Meryl Streep to play so negative a person, though she does make the character understandable. Rating: 7 (0 to 10), 2 (-4 to +4)
- Kate (Meryl Streep), Christine, her out-of-wedlock son Michael, Agnes, Maggie, and Rose live in a small cottage. Michael (as a man many years later) is the narrator. - Kate, the eldest, is a self-righteous tyrant. In town she is everybody's least favorite schoolteacher, cruelly but well- nicknamed "the gander". She is incredibly judgmental and inflexible. Always can sum up in one or two well-chosen sentences why someone else should be serious and should not enjoy life. - Two visitors come this summer. Uncle Jack (Michael Gambon), a missionary physically back from Africa, mentally still there. Also visiting is Jack Evans, Michael's handsome father, on his way to fight for the Republicans in Spain. - A Michael Gambon performance is always worth seeing. - Nice photography of Irish country life. - Puritanical Kate is fighting the coming of change. - Rose is a little simple-minded and is tempted to go off with Danny Bradley who is married but separated. - Michael has no memories of his father and father must win over son. - Uncle Jack is like the fool in KING LEAR. From his strange and addled mind come the most logical thoughts. - A different and mostly unsympathetic role for Streep. - Interface of religion and two different kinds of paganism. - Release will probably be in November accompanied by ads in Variety saying "For your consideration..."
Mark R. Leeper<EMAIL_ADDRESS>Copyright 1998 Mark R. Leeper
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


filmcritic.com presents a review from staff member James Brundage. You can find the review with full credits at http://filmcritic.com/misc/emporium.nsf/2a460f93626cd4678625624c007f2b46/4b7b7d09beeaed148825695a004f6b0b?OpenDocument
ALMOST FAMOUS A film review by James Brundage Copyright 2000 filmcritic.com filmcritic.com
When you enter into the world of entertainment journalism, you think it's the coolest thing in the world. Suddenly, doors are opened for you. You can get into movies free, or get books free, or get music free. You can meet directors or movie stars, see rock gods face to face, and get to ask Kurt Vonnegut that question that has burned in your gut for years.   You just are thrilled to be there, be part of this intangible "it" known as celebrity.
And then it happens.
Eventually, you have to choose between telling the truth and being nice. You have to choose between playing the PR game and making a friend.
Of course it doesn't help that you're functioning in an adult world, and this is your experience of growing up. It doesn't help if you lived your life smarter than those that surrounded you only to find out that when you come into your new world you are still an outcast.
And it doesn't help when you are presented with a true journalistic challenge like Almost Famous, a movie that throws down the gauntlet at press and asks it not necessarily to review it badly but to be honest. To try to have that ideal that we all remember with fondness and longing… to be objective.
In Almost Famous, William Miller (Patrick Fugit) is just a kid who wants to be cool. He's been skipped ahead two grades and entered first grade a year early. His mother is an eccentric college professor that celebrates Christmas in September so it won't be commercialized. And his sister ran away to a tune of Simon and Garfunkel when he was 11.
In 1973, he meets up with the infamous rock critic Lester Bangs (Philip Seymour Hoffman) who both warns him about going into the profession of entertainment journalism and also assigns him to cover a Black Sabbath concert for $35. This quickly leads backstage with the (fictitious) band Stillwater, because Miller is fan enough to be admitted into their world. The Black Sabbath article leads to a Rolling Stone assignment: cover Stillwater's tour, where William must learn to enjoy life, make the right moral choices, keep on the goods with his mom, save a girl from a drug overdose here and there, and still try to be back in time for graduation.

As a director, Crowe has done his job perfectly. He has crafted a film that is mutually entertaining to outsiders of the industry and insiders, nostalgic without being patronizing, humorous, slick looking, and well acted. He has directed newcomer Patrick Fugit to an incredible debut while providing solid material for Fugit to build upon.
As a writer, Crowe falters slightly. Although Almost Famous works incredibly well as a drama, its comic attempts tend to be more contrived. Certain scenes, such as one where the Stillwater is about to crash in a plane, end up completely contrived to the point where my rating dropped half a star because of it. Yet the most curious part of the film is not that Crowe has made minor flaws, but that he openly says that he is ready to take flack for his flaws.
You see, towards the end of the movie Crowe makes a point of saying to William (and, indirectly, to the press watching the movie), "Write what you want." He is effectively letting us off the hook, and placing himself in the position to be criticized. For that I both respect him and Almost Famous all the more.
But as previously stated, Almost Famous does have its flaws. Biopic or spin pic, Almost Famous comes off as oftentimes a contrived comedy injected like bad heroin into an otherwise thoughtful drama, and it almost overdoses on this clichéd comedy more than a few times.  And while this blend of brain candy and food for thought might be fine for most people, I'd rather Crowe had chosen one path or the other, instead of having one that ends up striking the audience as useless and unfunny.
It would have been great if Crowe focused more on the dynamic among Penny Lane (Kate Hudson), Russell Hammond (Billy Crudup), and William, instead of wasting time listening to Jason Lee do his best Chasing Amy impression (ironically, there is a sort of homoerotic suggestion towards the end a la the infamous scene in Chasing Amy), instead of giving us more images about the funny stories of Rock 'n' Roll. We've seen rockumentaries before, gotten the scoop anecdotes, and heard all of the stories about The Who time and again. Almost Famous's pulling rock stories out of its hat (or some other orifice) is akin to that kid spoutning the annoying weight-of-the-human-brain statistic in Crowe's last movie, Jerry Maguire. Save us.
Still, Almost Famous is worth a watch. You will either find it as drama with comedic detritus or comedy with dramatic detritus, but will probably come away smiling whichever way you look at it, and you will probably gloss over the flaws in a matter of weeks, days, or even hours.
There you go, Cameron. Objectivity.

The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Uses of Annotation Interface
org.bukkit.UndefinedNullability
Package
Description
The root package of the Bukkit API, contains generalized API classes.
Classes used to manipulate the voxels in a
world
,
including special states.Events
relating to programmatic state
changes on the server.Classes involved in manipulating player inventories and item interactions.
The interfaces used when manipulating extra data can can be stored inside
item stacks
.Classes that represents various voxel types and states.
-
Uses of UndefinedNullability in org.bukkit
Modifier and TypeMethodDescriptionLocation.getWorld()
Gets the world that this location resides in -
Uses of UndefinedNullability in org.bukkit.block
-
Uses of UndefinedNullability in org.bukkit.event.server
Modifier and TypeMethodDescriptionvoid
ServerListPingEvent.setServerIcon
(CachedServerIcon icon) Sets the server-icon sent to the client. -
Uses of UndefinedNullability in org.bukkit.inventory
Modifier and TypeMethodDescriptionEntityEquipment.getArmorContents()
Gets all worn armorEntityEquipment.getBoots()
Gets the boots currently being worn by the entityEntityEquipment.getChestplate()
Gets the chest plate currently being worn by the entityEntityEquipment.getHelmet()
Gets the helmet currently being worn by the entityItemFactory.getItemMeta
(@NotNull Material material) This creates a new item meta for the material.ItemStack.getItemMeta()
Get a copy of this ItemStack'sItemMeta
.EntityEquipment.getLeggings()
Gets the leggings currently being worn by the entity -
Uses of UndefinedNullability in org.bukkit.inventory.meta
-
Uses of UndefinedNullability in org.bukkit.material


Marjaavaan Box Office Day 10: Sidharth Malhotra, Riteish Deshmukh’s Film Had A Decent Sunday!
From here, the Milap Zaveri directed film should manage to stretch towards the 50 crores total.
by Joginder TutejaIt was a decent Sunday for Marjaavaan as 2.32 crores came in. Overall, the weekend has been fair and though after first week it had seemed that around 8 crores would be on the cards between Friday to Sunday, the collections have been somewhat lesser than that.
Overall, the total of the Sidharth Malhotra and Riteish Deshmukh starrer stands at 42.92 crores. From here, the Milap Zaveri directed film should manage to stretch towards the 50 crores total. The film is a commercial success due to costs involved and the price at which it was sold. For a predominantly single screen affair, this Milap Zaveri directed film has managed to keep its head high, despite not so flattering reviews.
Meanwhile, the film’s producers Emmay Entertainment [Nikkhil Advani, Monisha Advani, Madhu Bhojwani] are through with the shooting of their next film, Indoo Ki Jawaani. Spearheaded by Kiara Advani with Aditya Seal as the leading man, this would be yet another film belonging to an altogether different zone and genre for the production house after Batla House and Marjaavaan.
Note: All collections as per production and distribution sources
Joginder Tuteja tweets @tutejajoginder


.NET Core Ukrainian User Group
Community of developers who love and use .NET Core platform.
Go to partner website
Microsoft Azure Ukraine User Group
A group of developers and application architects in the Microsoft Azure cloud in Ukraine.
Go to partner website
Xamarin Ukraine User Group
This is a group for those who are developing an application using Xamarin.
Go to partner website
AzureDAY
AzureDAY is the annual cloud conference in Ukraine - a meeting of technologies, people, experiences, innovations
and professional community.
The purpose of AzureDAY is to gather professionals that already have practical experience in Azure and also
beginners that only embark on their Azure journey for effective knowledge sharing.
AzureDAY has separate technology threads that profoundly cover various dimensions cloud technologies have.
AzureDAY speakers are foreign and domestic cloud experts, trainers, enthusiasts and business owners.
AzureDAY is a paid event. A ticket includes free coffee breaks. We have early bird discount, students' discount and
partners' discount.
During AzureDAY you can take part in practical workshops that are being held on 8th of September. Please note that
if you want to participate in any workshop, you need a dedicated workshop ticket.
Workshop attendance is limited by physical limits of trainer's attention, therefore we ask you to tell us which
workshop you want to attend during ticket purchase.
Go to partner website
Developex Tech Club
Developex Tech Club is a small monthly meetups on various technical topics. Especially for you we select the best
specialists and invite them to share their knowledge and experience.
Go to partner website
Ukrainian IT community
"Ukrainian IT community" project was founded in early 2014 with the goal of creating an information and communication resource where IT specialists at different levels will be able to obtain up-to-date information on various products, as well as the specifics of their configuration.
At the moment, the community is supported by the efforts of the authors, who represent various areas of information technology. This allows the project to cover many areas, which in the end will be more interesting for the reader.
Go to partner website
Metarhia
Metarhia is a technology stack associated with the Node.js that includes components: The Impress application server,
the JSTP RPC / MQ protocol, the Global Storage DBMS, the Metasync library for asynchronous programming, and other
technologies that enable the development of modern distributed information systems for mobile devices, web and
servers with JavaScript as the primary language.
Go to partner website


The PingPong example consists of two executables that will exchange data using 2 partitions. Running both executables allows you to measure roundtrip duration when sending and receiving back a single message.
The Tutorial consists of three executables that together make up a primitive chatbox.
The HelloWorld example is used to illustrate the necessary steps to set up DCPS entities
The Waitset example is used to illustrate the use of waitset and conditions :
The Listener example is used to illustrate use of listeners
The ContentFilteredTopic example is used to illustrate message filtering based upon Content-Based subscription.
The QueryCondition example is used to illustrate message filtering through use of Queries.
The Lifecycle example is used to illustrate the different lifecycle states of the sample and the instance.
The Durability example illustrates the ability of late joining readers to obtain data that has already been published before these readers were created.
The Ownership example is used to illustrate the concept of Shared Ownership, controlled through QoS, in DDS.
The BuiltInTopics example is used to illustrate the use of built-in topics to obtain and print all nodes running in the domain.
The NetworkPartitions example is used to illustrate the concept of network traffic partitioning based on the configuration of Vortex OpenSplice.
The RoundTrip example consists of two executables that will exchange data using 2 partitions. Running both executables allows you to measure roundtrip duration when sending and receiving back a single message.
The Throughput example allows the measurement of data throughput when receiving samples from a publisher.
Each example can be built individually. It is also possible to build a number of examples at the same time.
The examples can be built together using the various makefiles found in the examples directory of the installed version of Vortex OpenSplice when building in a posix environment, using the following commands:
Before running any of the above commands it is necessary to set your environment using the release.com file found in the the Vortex OpenSplice installation. When building the CORBA examples using the above makefiles the ACE_ROOT and ODBCHOME environment variables must be set when building the CORBA C++ examples and the ACE_ROOT/lib directory must be added to the LD_LIBRARY_PATH. When building the CORBA Java examples the JACORB_HOME environment variable must be set.
The examples can be built in Visual Studio using solutions files provided.
After installing Vortex OpenSplice on Windows, from the Vortex Launcher, go to the Examples pane and select an example solution file to open. There are 6 options:
When building the CORBA examples using the CORBA C++ Examples option the ACE_ROOT and ODBCHOME environment variables must be set.
Batch files are provided to build the Java examples in a windows environment For Java5 maven is used to build the examples. These files can be found in the examples directory of the installed Vortex OpenSplice. Start a Vortex OpenSplice command prompt and simply run
If building the CORBA Java examples the JACORB_HOME environment variable must be set.


-
Personal Facts
- I have red hair
- I take the bus to school
- I dont play any sports
- I am 24 years old
- I dont play any music
-
Education
- B.A of History
- Atended Washington State University
- Atended Code Fellows Seattle
- Learning HTML, CSS, and Javascript


/Project/ChangeCounter
/
TSP(SM) Rollup Plan Summary
Add Your Own Sections Here
TSP
(SM)
is a service mark of Carnegie Mellon University.
Report generated at 3:55 PM on Apr 30, 2014
Export to Excel


Meangular is a full-stack Angular 2+ solution based on Mean Stack JS using the Angular-cli
The aim is to provide a comfortable baseline for fully-featured, full-stack development. The front-end is functional enough as a beginning for most use cases without the need to remove custom styling or unneeded features.


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Loader functionality for SavedModel with hermetic, language-neutral exports.
Load and restore capability for a SavedModel, which may include multiple meta graph defs. Each SavedModel is associated with a single checkpoint. Each meta graph def is saved with one or more tags, which are used to identify the exact meta graph def to load.
The load
operation requires the session in which to restore the graph
definition and variables, the tags used to identify the meta graph def to
load and the location of the SavedModel.
Upon a load, the subset of variables and assets supplied as part of the specific
meta graph def, will be restored into the supplied session. The values of the
variables though will correspond to the saved values from the first meta graph
added to the SavedModel using add_meta_graph_and_variables(...)
in
builder.py
.
... builder = tf.compat.v1.saved_model.builder.SavedModelBuilder(export_dir) with tf.compat.v1.Session(graph=tf.Graph()) as sess: ... builder.add_meta_graph_and_variables(sess, ["foo-tag"], signature_def_map=foo_signatures, assets_collection=foo_assets) ... with tf.compat.v1.Session(graph=tf.Graph()) as sess: ... builder.add_meta_graph(["bar-tag", "baz-tag"], assets_collection=bar_baz_assets) ... builder.save() ... with tf.compat.v1.Session(graph=tf.Graph()) as sess: tf.compat.v1.saved_model.loader.load(sess, ["foo-tag"], export_dir) ...
load(...)
: Loads the model from a SavedModel as specified by tags. (deprecated)
maybe_saved_model_directory(...)
: Checks whether the provided export directory could contain a SavedModel.


Overview
The purpose of this section is to introduce you to some of the math topics that are used when making driverless cars, and where possible, the ways in which they are used
Reinforcement learning
The graph above, taken from towardsdatascience.com gives a very rough estimate of how often various maths topics are used in machine learning (an umbrella term that includes reinforcement learning).
In order to keep things brief, we will only look at the 2 most commonly used maths areas (according to the graph) which are Linear Algebra and Statistics.
Linear algebra
Linear algebra is the branch of mathematics that deals with linear equation such as linear functions, and their representations through matricies and vector spaces. Topics such as matrix operations, eigenvalues and eigenvectors, and vector spaces are used in the optimization methods used for reinforcement learning.
In essence, machine learning as a whole is data intensive. This is because machine learning algorithms aren't very effective unless they are trained using lots of data sets. And linear algebra allows us to easily and quickly understand and manipulate this data when training an autonomous device.[1]
An important part of linear algbra which is used in Machine learning is the concept of Tensors (from which Google got the name for TensorFlow)
Tensors
A tensor is the basic building block of modern machine learning. At its core it’s a data container. Mostly it contains numbers. Sometimes it even contains strings, but that’s rare. We can visualize the various types of tensors like this[2]
0D Tensors/Scalars
Any number that goes into a tensor is called a "scalar" In fact you can have a single number tensor, which we call a 0D tensor, aka a tensor with 0 dimensions. It’s nothing more than a bucket with a one number in it. Imagine a bucket with a single drop of water and you have a 0D tensor.
1D Tensors/Vectors
In programming, this is the same as an array. You can also think of a 1D tensor as a vector. Tensors are defined by how many axes they have in total. A 1D tensor has exactly one axis.
2D Tensors/Vectors
This can be thought of as a matrix. We can visualize this as a grid of numbers with rows and columns.Those columns and rows represent two axes. A matrix is a 2D tensor, meaning it is two dimensional, aka a tensor with 2 axes.
3D Tensors/Vectors
Often we have to store a number of examples of 2D tensors in their own bucket, which gives us a 3D tensor. You can therefore think of a 3D tensor as a cube.
n-dimensional Tensors
We can keep stacking cubes together to create bigger and bigger tensors to encode different types of data - 4D tensors, 5D tensors and so on up to N. In laymans terms, N is another way of defining an unknown number of additional units in a set that continues up to an unknown point. It could be 5, 10 or a zillion.
Data that is usually stored in different types of tensors
-
3D = Time series Medical scans, for instance, can be encoded with the following fields: (time, frequency, channel)
Now if we had multiple patients with EEG scans, that would become a 4D tensor, like this:
(sample_size, time, frequency, channel) -
4D = Images Why 4D? An image is typically represented as
[width, height, color_depth] = 3D. But we don’t usually work with a single image or document in machine learning. We have a set. We might have 10,000 images of tulips, which means we have a 4D tensor, like this: [sample_size, width, height, color_depth] = 4D -
5D = Videos Because a video can be represented by the following paramaters:
(sample_size, frames, width, height, color_depth)
Summary
Linear algebra is an important part of machine learning. Data is needed in order to train models, and using tensors allows us to store, process and manipulate the data using vector algbra.Probability Theory & Statistics
A few examples are combinatorics, random variables, variance and expectation, and sampling methods.
Machine learning is all about predictive modelling: creating models with the intention of making predictions. These models are based on data which needs to be collected, by using a sampling method. Typically used sampling methods include ‘simple random sampling’, ‘systematic sampling’, ‘stratified sampling’, and often used in practice, ‘diversity-based sampling’.
Let's look at diversity based sampling. It is normally used in machine learning when the dataset has lot of similar data items. It doesn't make sense to train a model using similar data multiple times because it takes extra time and no new information is gained. Diversity-based sampling methods solve this problem and thus increase the efficieny in the training process by removing very similar data items in the data set. Because of this, the training time will be reduced contributing to an overall lower time needed to reach the solution. Additionally, the training set after applying 'diversity-based sampling' is much more typical and is able to represent features of the data better.[3]
Summary
Although this was a very brief overview that looked at only 2 examples, it serves to show the important role that maths plays in machine learning, and the examples should help you appreciate some of the many maths concepts that are used when building autonomous cars that use reinforcement learning.
Sources


Hello, My name is Marley Boone. I was born and raised on the north side of Indianpolis and I recently graduated from Eleven Fifty acedemy.
Through Eleven Fifty Acedemy I was able to truly discover my passion for coding. Although I am young I work hard, and learning is one of my greatest passions.
My Code and more Projects can be found at Github
Projects created while at Eleven fifty


Welcome to Bootstrap
The quick brown fox jumps over the lazy dog.
Welcome to Bootstrap
The quick brown fox jumps over the lazy dog.
Welcome to Bootstrap
The quick brown fox jumps over the lazy dog.


Graduated with a bachelor's degree in Computer Science and interested in obtaining a position in the field of the Software industry. Offer my research, technical, and organizational skills to contribute to the software development process and advance my knowledge and experience in the field.
Enter, process, and revision customer orders. Maintain orders in system databases, improve orders accuracy. Handing SQL Database and reports.
Support administrative and customer service tasks, communicated with clients to provide information.
Responsible to code and debug an engineering application program that calculates important Torque Converter Clutch design parameters using VB.net and Entity Framework.
Converted user interface of this application from Windows Forms to a WPF application. Reconnected all the existing calculations functions to the new application. Ported database from Access to SQL Server. Added parallel processing calculation methods to decrease calculation time by more than 80% resulting in a better user experience.
Created a professional portfolio website, using the front end framework foundation, in HTML and CSS. The website itself is hosted from GitHub repository.
Collaborated with a 5 members team to create a program that automatically parse the bibliography data sets, visualize the co-author relationships among authors, and conduct queries over bibliography data sets.
Achieved by pulling the information from the DBLB and extracted the information contained in the XML files. Visualizing the data into nodes & relationships that grow based on frequency by using D3.js.
Using WordPress and Plugins as developing tools to create a website for demonstrating the church information.
North Canton, Ohio · January 2016 - 2017
Kent, Ohio · May 2015 - present
I enjoy most of my time being outdoors. In the winter, I play basketball with friends in the GYM. During the summer time, I enjoy mountain hiking, climbing, and kayaking.


Death of The Player
/*a modified version of Roland Barthes seminal "The Death of the Author" essay. modified to fit a game criticism context by find/replacing select terms*/
/*original idea by James Schirmer (@betajames) and Cameron Kunzleman (@ckunzelman)*/
/*EDIT:changed "words" to "mechanics" per the request of Roger Travis @rogertravis*/


Well this semester is a bit stressful, but I hacked on a friday evening a greedy and dynamic programming algorithm for the Knapsack-Problem, which is the code competetion of May 2017 of the German IT Talents.
The most common kind of Knapsack-Problem is the 0-1 knapsack. Given a set of items (), each with a weight and value , with the knapsack having a maximum weight capacity W. As a boolean indicator shows if the item is part of the knapsack. Therefore has the value zero or one. The goal is to maximize the sum of the values of the items, so that the weight of these chosen items is less than W. Or in some mathematics:
I submitted my solution because I wanted to know, what you could possible improve in such a competetion. They give points for extra features, but I can’t possibly think of something useful. As an example: Using a GUI for interaction with the software is not really something I would find extraordinary, as it is basically an algorithm designed to solve the knapsack-problem. So using a CLI might just be enough as not an average joe user would use that software. It also could be part of a library, where no GUI is used.
So I couldn’t think of some cool new feature for solving a NP-complete problem and just went to implement an greedy and dynamic programming algorithm for that problem. I wrote some tests and integrated maven for dependency management and building. I added a CSV and JSON Reader, so that a user can define a knapsack instance in CSV or JSON and use it as input for the software.
I wonder how it will be rated by IT Talents commission. It was just a fun project. I am not even good in theoretical computer science :D.
If someone is interested the code is available on github :).


--- layout: post title: Episode 098 | Kevlin Henney - Applied Philosophy link: http://traffic.libsyn.com/developeronfire/DeveloperOnFire-98-KevlinHenney.mp3 length: 55331475 speaker: Dave Rael duration: '57:03' subtitle: 'Developer On Fire: Kevlin Henney' guest_name: Kevlin Henney image: /assets/images/KevlinHenney.jpg guest_blog: http://kevlin.tel/ guest_twitter: KevlinHenney episode_number: 98 book_recommendations: - { url: "http://www.amazon.com/dp/0201835959/?tag=devonfir-20", title: "The Mythical Man-Month: Essays on Software Engineering", author: "Frederick Brooks"} - { url: "http://www.amazon.com/dp/0070342075/?tag=devonfir-20", title: "The Elements of Programming Style", author: "Brian W. Kernighan, P. J. Plauger"} - { url: "http://www.softwarepreservation.org/projects/LISP/book/LISP%201.5%20Programmers%20Manual.pdf/view", title: "LISP 1.5 Programmer's Manual", author: "John McCarthy, Paul W. Abrahams, Daniel J. Edwards, Timothy P. Hart and Michael I. Levin"} tags: - { url: "http://www.amazon.com/dp/0201835959/?tag=devonfir-20", title: "The Mythical Man-Month: Essays on Software Engineering", author: "Frederick Brooks"} - { url: "http://www.amazon.com/dp/0070342075/?tag=devonfir-20", title: "The Elements of Programming Style", author: "Brian W. Kernighan, P. J. Plauger"} - { url: "http://www.softwarepreservation.org/projects/LISP/book/LISP%201.5%20Programmers%20Manual.pdf/view", title: "LISP 1.5 Programmer's Manual", author: "John McCarthy, Paul W. Abrahams, Daniel J. Edwards, Timothy P. Hart and Michael I. Levin"} redirect_from: - "/98/" - "/098/" - "/0098/" - "/kevlin-henney-applied-philosophy/" - "/KevlinHenney/" - "/Kevlin-Henney/" - "/Podcast/Episodes/98/" - "/Podcast/Episodes/098/" - "/Podcast/Episodes/0098/" - "/Podcast/Episodes/kevlin-henney-applied-philosophy/" - "/Podcast/Episodes/KevlinHenney/" - "/Podcast/Episodes/Kevlin-Henney/" ---
Kevlin is an independent consultant and trainer based in the UK. His development interests are in patterns, programming, practice and process. He has been a columnist for various magazines and web sites, including Better Software, The Register, Application Development Advisor, Java Report and the C/C++ Users Journal. Kevlin is co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series. He is also editor of the 97 Things Every Programmer Should Know site and book.


All chapters have been revisited to achieve a consistent MPI-2.2 text. Those who served as authors for the necessary modifications are:
| Pavan Balaji | Purushotham V. Bangalore | Brian Barrett |
| Richard Barrett | Christian Bell | Robert Blackmore |
| Gil Bloch | Ron Brightwell | Greg Bronevetsky |
| Jeff Brown | Darius Buntinas | Jonathan Carter |
| Nathan DeBardeleben | Terry Dontje | Gabor Dozsa |
| Edric Ellis | Karl Feind | Edgar Gabriel |
| Patrick Geoffray | Johann George | David Gingold |
| David Goodell | Erez Haba | Robert Harrison |
| Thomas Herault | Marc-André Hermanns | Steve Hodson |
| Joshua Hursey | Yutaka Ishikawa | Bin Jia |
| Hideyuki Jitsumoto | Terry Jones | Yann Kalemkarian |
| Ranier Keller | Matthew Koop | Quincey Koziol |
| Manojkumar Krishnan | Sameer Kumar | Miron Livny |
| Andrew Lumsdaine | Miao Luo | Ewing Lusk |
| Timothy I. Mattox | Kannan Narasimhan | Mark Pagel |
| Avneesh Pant | Steve Poole | Howard Pritchard |
| Craig Rasmussen | Hubert Ritzdorf | Rob Ross |
| Martin Schulz | Pavel Shamis | Galen Shipman |
| Christian Siebert | Anthony Skjellum | Brian Smith |
| Naoki Sueyasu | Vinod Tipparaju | Keith Underwood |
| Rolf Vandevaart | Abhinav Vishnu | Weikuan Yu |
The MPI Forum also acknowledges and appreciates the valuable input from people via e-mail and in person.
The following institutions supported the MPI-2.2 effort through time and travel support for the people listed above.
Argonne National Laboratory Auburn University Bull Cisco Systems, Inc. Cray Inc. Forschungszentrum Jülich Fujitsu The HDF Group Hewlett-Packard International Business Machines Indiana University Institut National de Recherche en Informatique et Automatique (INRIA) Institute for Advanced Science & Engineering Corporation Lawrence Berkeley National Laboratory Lawrence Livermore National Laboratory Los Alamos National Laboratory Mathworks Mellanox Technologies Microsoft Myricom NEC Corporation Oak Ridge National Laboratory Ohio State University Pacific Northwest National Laboratory QLogic Corporation RunTime Computing Solutions, LLC Sandia National Laboratories SiCortex, Inc. Silicon Graphics Inc. Sun Microsystems, Inc. Tokyo Institute of Technology University of Alabama at Birmingham University of Houston University of Illinois at Urbana-Champaign University of Stuttgart, High Performance Computing Center Stuttgart (HLRS) University of Tennessee, Knoxville University of Tokyo University of Wisconsin
Funding for the MPI Forum meetings was partially supported by award #CCF-0816909 from the National Science Foundation.
In addition, the HDF Group provided travel support for one
U.S. academic.
Up: Contents
Next: Introduction to MPI
Previous: MPI-1.3 and MPI-2.1:
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


Clues: A. Fruit not returned in Wisconsin city (8) B. Istanbul a way off providing home for a million Zimbabweans (8) C. In accordance with Prince, Don's glory ruined (15) D. Uncertainty if I'd fenced poorly (10) E. "Getaway" ... adventure without the advertisement break (6) F. Got tactile with textile (4) G. Drawn most by working aunt, estranged at heart (8) H. Haunted Hotel attacked by archers perhaps (8) I. Sinclair cuts the odd ones out, but he places himself too highly (6) J. Medicine deployed in ring? (4) K. He explained how the forces work and keep both hands moving (6) L. Time dashed as oldest one deteriorated and became not so fast (8) M. One of Virginia's neighbours is named Larry Bent (10) N. Sick man's crisis ... placing himself too highly (10) O. Perhaps stout ram and wily fox might do this (8) P. Fast food gets a central market location (6) Q. Pacemen caught out, being replaced by real oddities (6) R. Ridiculous sale? Rise makes it happen (8) S. Sinclair cut one out, initially going up to replace hundred and one (8) T. Into trials... staid characters! (15) U. Tests surely in as ordered (10) V. Seeing as part of piano is ivory backing... (6) W. ... while, as designed, ebony renders smooth tops and some waterproofing (6) X. Superhuman variety of Special V? (4) Y. Masters do away with desires (4) Z. Less conventional one-on-one with mostly nothing around (6)


hSDM is an R package for estimating parameters of hierarchical Bayesian species distribution models. Such models allow interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.
| Version: | 1.4 |
| Imports: | coda |
| Suggests: | knitr, raster, sp |
| Published: | 2014-07-02 |
| Author: | Ghislain Vieilledent, Cory Merow, Jérôme Guélat, Andrew M. Latimer, Marc Kéry, Alan E. Gelfand, Adam M. Wilson, Frédéric Mortier and John A. Silander Jr. |
| Maintainer: | Ghislain Vieilledent <ghislain.vieilledent at cirad.fr> |
| License: | GPL-3 | file LICENSE |
| URL: | http://hSDM.sf.net |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | hSDM results |
| Reference manual: | hSDM.pdf |
| Package source: | hSDM_1.4.tar.gz |
| Windows binaries: | r-devel: hSDM_1.4.zip, r-release: hSDM_1.4.zip, r-oldrel: hSDM_1.4.zip |
| OS X binaries: | r-release: hSDM_1.4.tgz, r-oldrel: hSDM_1.4.tgz |
| Old sources: | hSDM archive |
Please use the canonical form https://CRAN.R-project.org/package=hSDM to link to this page.


All-new design
iOS 7 started with a desire to take an experience people love and make it better. To make it even simpler, more useful, and more enjoyable
All-new features
Control Center, AirDrop for iOS, and smarter multitasking are just a few of the great new features in iOS 7. And all your favorite apps have been enhanced
Pixel perfect camera
iOS 7 started with a desire to take an experience people love and make it better. To make it even simpler, more useful, enjoyable
Instant messaging
Control Center, AirDrop for iOS, and smarter multitasking are just a few of the great new features in iOS 7. And all your favorite apps


Methods
convert (CurrencyExchange)
currency_exchange (CurrencyExchange)
currency_rate_exists? (CurrencyExchange)
newest_currency_rates? (CurrencyExchange)
parse_rates_for_currency (ExchangeRateParser)
read_url_io (ExchangeRateParser)
request_file_name (ExchangeRateParser)
request_rates (ExchangeRateParser)
request_url_name (ExchangeRateParser)
save_rate_and_time (RailsConnection::CurrencyExchange::ActMethods)
xml_date (ExchangeRateParser)


--- title: HTML To Text Converter | Developer Tools layout: post ---
{% include common-meta %}This is a free online tool to convert a HTML formatted data into plain text.
HTML (HyperText Markup Language) is language of web. HTML is the language that all browsers understand and use to display web pages.
In plain text format everything is represented as simple plain text. All special formatting of HTML will be removed when we convert it to text.
This can be a easy way to scrape useful data from web pages on internet in your favorite document or a simple text file.
Yes, this tool can easily convert your HTML formatted emails to plain text format. Just copy and paste your HTML code here and hit "Convert to Text" button.


www.ovrdc.org
ovrdc.github.io/gis-tutorials
www.ovrdc.org/gis/presentations
Vector Tiles are a representation (serialized data) of geographic features and their underlying data for a specific zoom level and bounding box. Lines and polygons may be simplified and points may be omitted. ~ Adapted from Wikipedia & Mapbox
MVT is slowly becoming an industry standard.
~70 Image Requests, 1100kb
OpenStreetMap Raster
~45 Image Requests, 749kb
Vector Tile Basemap
~20 Vector Tile requests, 759kb
This includes feature data!!
https://stackoverflow.com/questions/36426428/mapbox-gl-js-3d-elevation-profile http://scottsfarley.com/cartography/coding/2017/02/11/DC-Mapbox-Plugin.html https://blog.mapbox.com/shading-and-lighting-3d-features-in-mapbox-gl-js-e544695cd64 https://blog.mapbox.com/introducing-data-driven-styling-in-mapbox-gl-js-f273121143c3 https://blog.mapbox.com/dive-into-large-datasets-with-3d-shapes-in-mapbox-gl-c89023ef291


#854 pro_al
problematical
procedural
prodigal
proportional
proposal
propositional
prototypical
proverbial
providential
provincial
provisional
proximal


--- layout: post permalink: breezecatcherclothesdryers.html Tags: Array NameOfCoupon: Breezecatcher Clothes Dryers Cash Back Summary: See our Breezecatcher Clothes Dryers Coupon Code, Breezecatcher Clothes Dryers Rebate, Breezecatcher Clothes Dryers Promo Code, Breezecatcher Clothes Dryers Discount, Breezecatcher Clothes Dryers Coupon Cash Back Rebate here. MetaKeywords: Breezecatcher Clothes Dryers Coupon Code, Breezecatcher Clothes Dryers Rebate, Breezecatcher Clothes Dryers Promo Code, Breezecatcher Clothes Dryers Cash Back Rebate, Breezecatcher Clothes Dryers Discount, Breezecatcher Clothes Dryers Coupon Image: images/18468.jpg LinkURL: http://www.shareasale.com/r.cfm?b=134927&u=412002&m=18468 affiliate_url_link: http://www.icouponblog.com/jane.php?id=128 thesis_readmore: See the Breezecatcher Clothes Dryers Coupon thesis_thumb: http://www.icouponblog.com/tn.php?merchantURL=breezecatcher.net Title: Save 7.5% - Breezecatcher Clothes Dryers Coupon Code for breezecatcher.net. Breezecatcher Clothes Dryers Rebate & Discount thesis_description: Our Breezecatcher Clothes Dryers Discount Coupon Code for breezecatcher.net. We have the best Breezecatcher Clothes Dryers Rebate anywhere. thesis_keywords: Breezecatcher Clothes Dryers, Breezecatcher Clothes Dryers Coupon Code, Breezecatcher Clothes Dryers Discount, Breezecatcher Clothes Dryers Rebate product_name: Breezecatcher Clothes Dryers hop_url: http://www.icouponblog.com/hop.php?id=128 ---
Breezecatcher clothes dryers are a specialist producer of high quality rotary clotheslines. Breezecatcher clothes dryers take advantage of the free solar and wind energy available in your back yard and dry your clothes for free. Say goodbye to hefty energy bills with Breezecatcher clothes dryers. Get 7.5% cash back with our money saving discount on the Breezecatcher clothes dryers and save money.
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--- layout: page title: "Tracking Preference Expression (DNT)" description: "This specification defines the technical mechanisms for expressing a tracking preference via the DNT request header field in HTTP, via an HTML DOM property readable by embedded scripts, and via properties accessible to various user agent plug-in or extension APIs. It also defines mechanisms for sites to signal whether and how they honor this preference, both in the form of a machine-readable tracking status resource at a well-known location and via a \"Tk\" response header field, and a mechanism for allowing the user to approve exceptions to DNT as desired." ---
| Document Name: | W3C TR http://www.w3.org/TR/tracking-dnt |
|---|---|
| Document URI: |
http://www.w3.org/TR/tracking-dnt
|
| Online Version: |
http://www.w3.org/TR/tracking-dnt
|
| Organization: | World Wide Web Consortium (W3C) |
| Series: | Technical Report (TR) |
| Abstract: | This specification defines the technical mechanisms for expressing a tracking preference via the DNT request header field in HTTP, via an HTML DOM property readable by embedded scripts, and via properties accessible to various user agent plug-in or extension APIs. It also defines mechanisms for sites to signal whether and how they honor this preference, both in the form of a machine-readable tracking status resource at a well-known location and via a "Tk" response header field, and a mechanism for allowing the user to approve exceptions to DNT as desired. |
DNT
,
Tk
application/tracking-status+json
dnt
Return to ( Series | Organization | all Specifications )


I've learned C++ for some time now, and I've nearly finished my sensei test in the language. Rummaging through my stuff today, I found some papers from the "C++ without Fear" book, where it gave a brief note about preprocessor directives and #include :
If you’re new to C++, just remember you have to use #include to turn on
support for specific parts of the C++ standard library. Later, when we start
using math functions such as sqrt (square root), you’ll need to switch on
support for the math library:
#include <cmath>
Is this extra work? A little, yes. Include files originated because of a dis-
tinction between the C language and the standard runtime library. (Profes-
sional C/C++ programmers sometimes avoid the standard library and use
their own.)
Let us concentrate on
Professional C/C++ programmers sometimes avoid the standard library and use
their own.
Firstly, why would someone avoid things that professional programmers already set for him? And I think I would use my own library as a learning experience and some fun... So some pointers on how? Will I have to know some more C++: istream,ostream etc.?
Let us concentrate on
Professional C/C++ programmers sometimes avoid the standard library and use their own.
That is a profoundly false statement.
The grain of truth is that *some* components of the standard library may not be fitting the requirements of a project, in which case a programmer may have to write a library that does what they need.
For example, Facebook wrote their own version of std::vector because they wanted to take advantage of "relocatable types and jemalloc" (that is, they don't want to even call a move constructor when resizing a vector, if the object can survive memcpy, and their allocator can expand memory blocks in-place, so they make use of that too)
Well, thanks for that, so what is C++ with no STL? Can I write a functional program without using the STL? Is the STL just a wrapper over actual C++? How can I make my own STL (calling it the Simple Template Library[STL] ;) )? How is it most C++ programmers only know the STL, and barely know what's underneath it (ostream, istream)?
Most of the C++ Standard Library (not related to the STL, but borrows heavily from it) is just regular C++. There are only a few parts which cannot be implemented in C++ that require work on the compiler's end or which require you to directly interface with the operating system.
How is it most C++ programmers only know the STL, and barely know what's underneath it (ostream, istream)?
You'll have to clarify what you mean by "STL", since the infuential 1992 library known by that name was abandoned in 2000 or 2001, and had nothing to do with the I/O streams. The C++ standard makes no mention of STL or of anything called 'standard template library'.


We are located at Terelj National Park, one of the top tourist destinations and the third biggest protected area in Mongolia.
Only one hour drive (50km) on a paved road from the capital city Ulaanbaatar.
Contact Us
Restaurant
Tamir restaurant is capable of serving 100 people at the same time. We serve breakfast, lunch, and dinner that include both international and domestic dishes.
Gers
We have 26 gers (Mongolian traditional yurt) with a total capacity of 100 people.
Mini bar
There is a mini bar inside the restaurant, where we have a fine selection of hot and cold beverages.
Ger Interior
Our gers are all handmade. Traditionally hand painted in colorful patterns expressing an authentic feel.
A cosy and comfortable ger from which you can look up the skylight and enjoy a night under the stars!
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A mini hiking tour to explore over 30 incredible rock formations.
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You can taste Mongolian traditional meals such as khuushuur, buuz, tsuivan and khorkhog in our restaurant.
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Tamir Wellness from Above
This video is recorded by @93 with a DJI Mavic Pro.


Assert the condition x
and y
are close element-wise.
tf.compat.v2.debugging.assert_near
tf.debugging.assert_near( x, y, rtol=None, atol=None, message=None, summarize=None, name=None )
This Op checks that x[i] - y[i] < atol + rtol * tf.abs(y[i])
holds for every
pair of (possibly broadcast) elements of x
and y
. If both x
and y
are
empty, this is trivially satisfied.
If any elements of x
and y
are not close, message
, as well as the first
summarize
entries of x
and y
are printed, and InvalidArgumentError
is raised.
The default atol
and rtol
is 10 * eps
, where eps
is the smallest
representable positive number such that 1 + eps != 1
. This is about
1.2e-6
in 32bit
, 2.22e-15
in 64bit
, and 0.00977
in 16bit
.
See numpy.finfo
.
x
: Float or complex Tensor
.y
: Float or complex Tensor
, same dtype as and broadcastable to x
.rtol
: Tensor
. Same dtype
as, and broadcastable to, x
.
The relative tolerance. Default is 10 * eps
.atol
: Tensor
. Same dtype
as, and broadcastable to, x
.
The absolute tolerance. Default is 10 * eps
.message
: A string to prefix to the default message.summarize
: Print this many entries of each tensor.name
: A name for this operation (optional). Defaults to "assert_near".Op that raises InvalidArgumentError
if x
and y
are not close enough.
This can be used with tf.control_dependencies
inside of tf.function
s
to block followup computation until the check has executed.
InvalidArgumentError
: if the check can be performed immediately and
x != y
is False for any pair of elements in x
and y
. The check can
be performed immediately during eager execution or if x
and y
are
statically known.returns None
Similar to numpy.assert_allclose
, except tolerance depends on data type.
This is due to the fact that TensorFlow
is often used with 32bit
, 64bit
,
and even 16bit
data.


Brett Zamir
on 2012-06-16 07:49:30
@Patrick De Ridder: Sorry, but no idea what you're talking about.
Patrick De Ridder
on 2011-12-21 11:15:15
I installed this module v1.3_0208
I received it directly sfrom ogone
but I cannot succeed to install it, I get http 500 erver connection error
is this module ready to use or not?
if ok, what could be my problem?


Password Generator
Generate custom passwords
your security is always important
Length
6
7
8
9
10
11
12
13
14
Upper Case
Numbers
Special Characters


Data For Progress
Presidential Primary First Debate Survey
Survey Question
Filter by Demographic
About this project
Data for Progress is the think tank for the future of progressivism. Their goal is to show how a progressive agenda can win nationwide.
They provide research, polling on left issues, and analysis to support activists and advocacy groups, challenging conventional wisdom about the American public that lack empirical support.
The Presidential Primary First Debate Survey is a survey of Democratic primary voters fielded in July 2019 by YouGov Blue on behalf of Data for Progress.
Unfortunately, the survey results don't represent everyone. Some demographic groups may not be represented due to the size of the dataset.


(val 'var) -> any
- Returns the current value of
var
. See also setq
, set
and def
.
: (setq L '(a b c))
-> (a b c)
: (val 'L)
-> (a b c)
: (val (cdr L))
-> b
val/3
- Pilog predicate that returns the value of an
object's attribute. Typically used in database queries. The first argument is a
Pilog variable to bind the value, the second is the object, and the third and
following arguments are used to apply the
get
algorithm to that object. See also db/3
and select/3
.
: (?
(db nr +Item (2 . 5) @Item) # Fetch articles 2 through 5
(val @Nm @Item nm) # Get item description
(val @Sup @Item sup nm) ) # and supplier's name
@Item={3-2} @Nm="Spare Part" @Sup="Seven Oaks Ltd."
@Item={3-3} @Nm="Auxiliary Construction" @Sup="Active Parts Inc."
@Item={3-4} @Nm="Enhancement Additive" @Sup="Seven Oaks Ltd."
@Item={3-5} @Nm="Metal Fittings" @Sup="Active Parts Inc."
-> NIL
(var sym . any) -> any
(var (sym . cls) . any) -> any
- Defines a class variable
sym
with the initial value
any
for the current class, implicitly given by the value of the
global variable *Class
, or - in the
second form - for the explicitly given class cls. See also OO Concepts, rel
and var:
.
: (class +A)
-> +A
: (var a . 1)
-> 1
: (var b . 2)
-> 2
: (show '+A)
+A NIL
b 2
a 1
-> +A
(var: sym) -> any
- Fetches the value of a class variable
sym
for the current
object This
, by searching the property
lists of its class(es) and superclasses. See also OO
Concepts, var
, with
, meta
, :
,
=:
and ::
.
: (class +A)
-> +A
: (var a . 1)
-> 1
: (var b . 2)
-> 2
: (object 'O '(+A) 'a 9 'b 8)
-> O
: (with 'O (list (: a) (: b) (var: a) (var: b)))
-> (9 8 1 2)
(version ['flg]) -> lst
- Prints the current version as a string of dot-separated numbers, and returns
the current version as a list of numbers. The JVM- and C-versions print an
additional "JVM" or "C", respectively, separated by a space. When
flg
is non-NIL, printing is suppressed. See also *CPU
and *OS
.
$ pil -version
15.11.0
: (version T)
-> (15 11 0)
(vi 'sym) -> sym
(vi 'sym 'cls) -> sym
(vi '(sym . cls)) -> sym
(vi) -> NIL
- (Debug mode only) Opens the "vi" editor on the function or method definition
of
sym
. A call to ld
thereafter will load
the modified
file. A call without arguments permanently switches the REPL line editor and the
edit
function to "vi" mode. See also
doc
, edit
, em
, *Dbg
, debug
and pp
.
: (vi 'url> '+CuSu) # Edit the method's source code, then exit from 'vi'
-> T
(view 'lst ['T]) -> any
- Views
lst
as tree-structured ASCII graphics. When the
T
argument is given, lst
should be a binary tree
structure (as generated by idx
), which
is then shown as a left-rotated tree.


Whoa, a bash shell inside Slack!
creates a rudimentary file system in every channel
Tweet
made by
@dblockdotorg
,
fork me on github


Web Worker test page
Say hello
Throw error in worker
Create a new worker
Create and destroy a new worker
Destroy all workers
Clear log


The weightTAPSPACK subsets The American Panel Survey (TAPS) data by outcome and covariates, models the attrition rates, imputes data for attrited individuals, and finds weights for analysis.
| Version: | 0.1 |
| Depends: | R (≥ 3.0.0), methods, survey, plyr, HotDeckImputation, mice |
| Published: | 2015-09-26 |
| Author: | David G. Carlson, Michelle Torres, and Taeyong Park |
| Maintainer: | David G. Carlson <carlson.david at wustl.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | weightTAPSPACK results |
| Reference manual: | weightTAPSPACK.pdf |
| Package source: | weightTAPSPACK_0.1.tar.gz |
| Windows binaries: | r-devel: weightTAPSPACK_0.1.zip, r-release: weightTAPSPACK_0.1.zip, r-oldrel: weightTAPSPACK_0.1.zip |
| OS X binaries: | r-release: weightTAPSPACK_0.1.tgz, r-oldrel: weightTAPSPACK_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=weightTAPSPACK to link to this page.


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|
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| Vector2f (const float x_, const float y_) |
| |
|
Vector2f & | operator/= (const float k) |
| |
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float | LengthSquared () const |
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float | Length () const |
| |
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void | Normalize () |
| |
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| Vector2 (const floatk_x, const floatk_y) |
| |
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Vector2 & | operator+= (const Vector2 &vec) |
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Vector2 & | operator-= (const Vector2 &vec) |
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Vector2 & | operator*= (const floatk) |
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bool | operator== (const Vector2< float > &v) |
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Vector2< float > | operator+ (const Vector2< float > &v) |
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Vector2< float > | operator- (const Vector2< float > &v) |
| |
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Vector2< float > | operator- () |
| |
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Vector2< float > | operator* (const floatk) |
| |
The documentation for this class was generated from the following file:


assignment
Create Tiny Url
Meetupinize
Finding Upcoming Meetup Events Made Easy
Date and Time:
Location:
-->