GENDSA
Section: OpenSSL (1)Updated: 2009-04-10
Index Return to Main Contents
NAME
gendsa - generate a DSA private key from a set of parametersSYNOPSIS
openssl gendsa [-out filename] [-des] [-des3] [-idea] [-rand file(s)] [-engine id] [paramfile]DESCRIPTION
The gendsa command generates a DSA private key from a DSA parameter file (which will be typically generated by the openssl dsaparam command).OPTIONS
- -des|-des3|-idea
- These options encrypt the private key with the DES, triple DES, or the IDEA ciphers respectively before outputting it. A pass phrase is prompted for. If none of these options is specified no encryption is used.
- -rand file(s)
- a file or files containing random data used to seed the random number generator, or an EGD socket (see RAND_egd(3)). Multiple files can be specified separated by a OS-dependent character. The separator is ; for MS-Windows, , for OpenVMS, and : for all others.
- -engine id
- specifying an engine (by its unique id string) will cause gendsa to attempt to obtain a functional reference to the specified engine, thus initialising it if needed. The engine will then be set as the default for all available algorithms.
- paramfile
- This option specifies the DSA parameter file to use. The parameters in this file determine the size of the private key. DSA parameters can be generated and examined using the openssl dsaparam command.
NOTES
DSA key generation is little more than random number generation so it is much quicker that RSA key generation for example.SEE ALSO
dsaparam(1), dsa(1), genrsa(1), rsa(1)
Index
This document was created by man2html, using the manual pages.
Time: 05:29:03 GMT, December 24, 2015


To proceed with the analysis, you need to provide these input elements:
- A title for the experiment.
- The list of seeds, i.e., the twitter user ids (handles without the @) that represent the emerging entities for your field of interest (up to 20).
- The list of entity types (DBpedia types) that are relevant for your domain (you can search in the list or directly check them in the checklist).


nips nips2012 nips2012-211 nips2012-211-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Melanie Rey, Volker Roth
Abstract: We present a reformulation of the information bottleneck (IB) problem in terms of copula, using the equivalence between mutual information and negative copula entropy. Focusing on the Gaussian copula we extend the analytical IB solution available for the multivariate Gaussian case to distributions with a Gaussian dependence structure but arbitrary marginal densities, also called meta-Gaussian distributions. This opens new possibles applications of IB to continuous data and provides a solution more robust to outliers. 1
[1] N. Tishby, F.C. Pereira, and W. Bialek. The information bottleneck method. The 37th annual Allerton Conference on Communication, Control, and Computing, (29-30):368–377, 1999.
[2] O. Shamir, S. Sabato, and N. Tishby. Learning and generalization with the information bottleneck. Theor. Comput. Sci., 411(29-30):2696–2711, 2010.
[3] G. Chechik, A. Globerson, N. Tishby, and Y. Weiss. Information bottleneck for Gaussian variables. Journal of Machine Learning Research, 6:165–188, 2005.
[4] A. Globerson and N. Tishby. On the optimality of the Gaussian information bottleneck curve. Hebrew University Technical Report, 2004.
[5] R.M. Hecht, E. Noor, and N. Tishby. Speaker recognition by Gaussian information bottleneck. INTERSPEECH, pages 1567–1570, 2009.
[6] J. Ma and Z. Sun. Mutual information is copula entropy. arXiv:0808.0845v1, 2008. `
[7] A. Sklar. Fonctions de r´ partition a n dimensions et leurs marges. Publications de l’Institut de Statistique e de l’Universit´ de Paris, 8:229–231, 1959. e
[8] A. J. McNeil, R. Frey, and P. Embrechts. Quantitative Risk Management. Princeton Series in Finance. Princeton University Press, 2005.
[9] G. Elidan. Copula bayesian networks. Proceedings of the Neural Information Processing Systems (NIPS), 2010.
[10] C. Genest, K. Ghoudhi, and L.P. Rivet. A semiparametric estimation procedure of dependence parameters in multivariate families of distributions. Biometrika, 82(3):543–552, 1995.
[11] H. Tsukahara. Semiparametric estimation in copula models. 33(3):357–375, 2005. The Canadian Journal of Statistics,
[12] Peter D. Hoff. Extending the rank likelihood for semiparametric copula estimation. Annals of Applied Statistics, 1(1):273, 2007.
[13] K. Boudt, J. Cornelissen, and C. Croux. The gaussian rank correlation estimator: Robustness properties. Statistics and Computing, 22:471–483, 2012.
[14] D. P´ l, B. P´ czos, and C. Szepesv´ ri. Estimation of R´ nyi entropy and mutual information based on a o a e generalized nearest-neighbor graphs. Proceedings of the Neural Information Processing Systems (NIPS), 2010. 9


Catch a sea creature to learn more about it.
Bigeye tuna can grow up to 250 centimetre (98 inches) or 8 feet, in length. Maximum weight of individuals probably exceeds 180 kg (400 lb), with the all-tackle angling record standing at 178 kg (392 lb). They are large, deep-bodied, streamlined fish with large heads and eyes. The pectoral fins are very long, reaching back beyond the start of the second dorsal fin in juveniles and the space between the first and second dorsal fin in adults. They have 13 or 14 dorsal spines.
More InformationThe majority of a sea turtle's body is protected by its shell. The turtle's shell is divided into two sections: the carapace (the dorsal portion) and the plastron (the ventral portion). The shell is made up of smaller plates called scutes. The leatherback is the only sea turtle that does not have a hard shell. Instead, it bears a mosaic of bony plates beneath its leathery skin.
More InformationJellyfish or sea jellies are the informal common names given to the medusa-phase of certain gelatinous members of the subphylum Medusozoa, a major part of the phylum Cnidaria. Jellyfish are mainly free-swimming marine animals with umbrella-shaped bells and trailing tentacles, although a few are not mobile, being anchored to the seabed by stalks. The bell can pulsate to provide propulsion and highly efficient locomotion. The tentacles are armed with stinging cells and may be used to capture prey and defend against predators. Jellyfish have a complex life cycle; the medusa is normally the sexual phase, the planula larva can disperse widely and is followed by a sedentary polyp phase.
More InformationThe octopus is a soft-bodied, eight-limbed mollusc of the order Octopoda. Around 300 species are recognised, and the order is grouped within the class Cephalopoda with squids, cuttlefish, and nautiloids. Like other cephalopods, the octopus is bilaterally symmetric with two eyes and a beak, with its mouth at the center point of the eight limbs (traditionally called "arms", sometimes mistakenly called "tentacles"). The soft body can rapidly alter its shape, enabling octopuses to squeeze through small gaps. They trail their eight appendages behind them as they swim. The siphon is used both for respiration and for locomotion, by expelling a jet of water. Octopuses have a complex nervous system and excellent sight, and are among the most intelligent and behaviourally diverse of all invertebrates.
More InformationPearly razorfish can reach 38 cm (15 in) in total length, though most do not exceed 20 cm (7.9 in). Its body is elongate and very compressed laterally, the head is flattened, with a steep profile and sharp teeth. Its long dorsal fin extends along most of its back.  This wrasse has a yellow-orange or reddish-pink color that is darker on the back and lighter on the belly, sometimes marked with green and gray stripes. Head shows vertical narrow light blue lines and there are scales with brisk reflexes on the abdomen. Upon capture, this fish has been known to turn its mouth and sharp protuding teeth past 90 degrees to either side in relationship to its own body as an attempt to be released from capture.
More InformationThey are typically small to medium in size, although a few species can reach lengths of greater than 100 cm (39 in).
More InformationThey are typically small to medium in size, although a few species can reach lengths of greater than 100 cm (39 in).
More InformationThe great white shark (Carcharodon carcharias), also known as the great white, white shark or white pointer, is a species of large mackerel shark which can be found in the coastal surface waters of all the major oceans. The great white shark is notable for its size, with larger female individuals growing to 6.1 m (20 ft) in length and 1,905 kg (4,200 lb) in weight at maturity. However, most are smaller; males measure 3.4 to 4.0 m (11 to 13 ft), and females measure 4.6 to 4.9 m (15 to 16 ft) on average.
More Information


1. Getting Started
1.1. Requirements
Python 3.9
Installation of samtools on your PATH
Any *nix operating system
(tested on Ubuntu, CentOS, RHEL)
Note
CluBCpG utilized Pysam, which is a wrapper around the htslib and samtools C-APIs, to read from BAM files. These tools do not support Windows, therefore, CluBCpG cannot be run on Windows.
1.2. Installation
1.2.1. pip install
These steps will install CluBCpG.
Note
While optional, it is highly recommended to install CluBCpG in a virtual environment.
(Optional) Create and activate python virtualenv
virtualenv ~/venv/clubcpg -p python3
source ~/venv/clubcpg/bin/activate
Install CluBCpG with the following command
pip install clubcpg
1.3. Running Tests
Included tests can be run to verify CluBCpG is correctly interacting with samtools to read form BAM files. The source code can be downloaded from GitHub and the following can be run:
python -m unittest -v clubcpg/tests/test_Module.py
Running this will download a small amount of test data in BAM format and will verify all dependencies are met to correctly run CluBCpG


Try to search some products here! Result will appear bellow.
Search
Perform searching on testing-keywords datasets
Numbers of search results
Results by search engine 1
Results by search engine 2
Results by search engine 3
Results by search engine 4


Ghost and the Darkness (1996) A film review by Michael J. Legeros Copyright 1996 Michael J. Legeros
(Par) Directed by Stephen Hopkins Written by William Goldman Cast Val Kilmer, Michael Douglas, John Kani, Tom Wilkinson, Bernard Hill, Brian McCardi, Om Puri, Emily Mortimer MPAA Rating "R" (presumably for violence and profanity) Running Time 110 minutes
==
I've heard it called "JAWS with claws" and that's a fair summation of the plot, though that tag line does little to quantify quality. Director Stephen Hopkins (BLOWN AWAY, PREDATOR 2) and screenwriter William Goldman (MAVERICK, MISERY) would have you believe that this is an epic historical drama about man against nature, based on what really happened in Africa to the railroad workers trying to build a bridge to the 20th Century. They've stacked the deck with two big stars (Val Kilmer, Michael Douglas), a bigger production design, beautiful photography (by Academy Award winner Vilmos Zsigmond), and a score so overblown that it makes THE LION KING soundtrack sound like chamber music. The movie doesn't make a lick of sense, though, either as an epic or as your basic boo-fest. In fact, some of the bits are so laughably ludicrous that you may think you've stumbled into the sequel to MYSTERY SCIENCE THEATER 3000: THE MOVIE. How about the three guys with rifles, who trap a lion and then can't even hit the damned thing? Or the ham-on-wry acting of Michael Douglas, who chews more scenery than the animals ever do?? Or, my favorite, lions so agile that they can even climb onto rooftops?!?
Grade: D+
--
Mike Legeros
Raleigh, NC, USA, Earth
<EMAIL_ADDRESS>(h) -<EMAIL_ADDRESS>(w)
Visit me in MOVIE HELL
"Orange whip? Orange whip? Three orange whips." [and do gesture]
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


| 1 | /* =========================================================== | |
| 2 | * JFreeChart : a free chart library for the Java(tm) platform | |
| 3 | * =========================================================== | |
| 4 | * | |
| 5 | * (C) Copyright 2000-2016, by Object Refinery Limited and Contributors. | |
| 6 | * | |
| 7 | * Project Info: http://www.jfree.org/jfreechart/index.html | |
| 8 | * | |
| 9 | * This library is free software; you can redistribute it and/or modify it | |
| 10 | * under the terms of the GNU Lesser General Public License as published by | |
| 11 | * the Free Software Foundation; either version 2.1 of the License, or | |
| 12 | * (at your option) any later version. | |
| 13 | * | |
| 14 | * This library is distributed in the hope that it will be useful, but | |
| 15 | * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY | |
| 16 | * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public | |
| 17 | * License for more details. | |
| 18 | * | |
| 19 | * You should have received a copy of the GNU Lesser General Public | |
| 20 | * License along with this library; if not, write to the Free Software | |
| 21 | * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, | |
| 22 | * USA. | |
| 23 | * | |
| 24 | * [Oracle and Java are registered trademarks of Oracle and/or its affiliates. | |
| 25 | * Other names may be trademarks of their respective owners.] | |
| 26 | * | |
| 27 | * --------- | |
| 28 | * OHLC.java | |
| 29 | * --------- | |
| 30 | * (C) Copyright 2006, 2009, by Object Refinery Limited. | |
| 31 | * | |
| 32 | * Original Author: David Gilbert (for Object Refinery Limited); | |
| 33 | * Contributor(s): -; | |
| 34 | * | |
| 35 | * Changes | |
| 36 | * ------- | |
| 37 | * 04-Dec-2006 : Version 1 (DG); | |
| 38 | * 23-May-2009 : Implemented hashCode() (DG); | |
| 39 | * | |
| 40 | */ | |
| 41 | ||
| 42 | package org.jfree.data.time.ohlc; | |
| 43 | ||
| 44 | import java.io.Serializable; | |
| 45 | import org.jfree.chart.HashUtils; | |
| 46 | ||
| 47 | /** | |
| 48 | * A data record containing open-high-low-close data (immutable). This class | |
| 49 | * is used internally by the {@link OHLCItem} class. | |
| 50 | * | |
| 51 | * @since 1.0.4 | |
| 52 | */ | |
| 53 | public class OHLC implements Serializable { | |
| 54 | ||
| 55 | /** The open value. */ | |
| 56 | private double open; | |
| 57 | ||
| 58 | /** The close value. */ | |
| 59 | private double close; | |
| 60 | ||
| 61 | /** The high value. */ | |
| 62 | private double high; | |
| 63 | ||
| 64 | /** The low value. */ | |
| 65 | private double low; | |
| 66 | ||
| 67 | /** | |
| 68 | * Creates a new instance of {@code OHLC}. | |
| 69 | * | |
| 70 | * @param open the open value. | |
| 71 | * @param close the close value. | |
| 72 | * @param high the high value. | |
| 73 | * @param low the low value. | |
| 74 | */ | |
| 75 | public OHLC(double open, double high, double low, double close) { | |
| 76 |
1
1. |
this.open = open; |
| 77 |
1
1. |
this.close = close; |
| 78 |
1
1. |
this.high = high; |
| 79 |
1
1. |
this.low = low; |
| 80 | } | |
| 81 | ||
| 82 | /** | |
| 83 | * Returns the open value. | |
| 84 | * | |
| 85 | * @return The open value. | |
| 86 | */ | |
| 87 | public double getOpen() { | |
| 88 |
2
1. getOpen : replaced double return with 0.0d for org/jfree/data/time/ohlc/OHLC::getOpen → NO_COVERAGE 2. getOpen : replaced return of double value with -(x + 1) for org/jfree/data/time/ohlc/OHLC::getOpen → NO_COVERAGE |
return this.open; |
| 89 | } | |
| 90 | ||
| 91 | /** | |
| 92 | * Returns the close value. | |
| 93 | * | |
| 94 | * @return The close value. | |
| 95 | */ | |
| 96 | public double getClose() { | |
| 97 |
2
1. getClose : replaced double return with 0.0d for org/jfree/data/time/ohlc/OHLC::getClose → NO_COVERAGE 2. getClose : replaced return of double value with -(x + 1) for org/jfree/data/time/ohlc/OHLC::getClose → NO_COVERAGE |
return this.close; |
| 98 | } | |
| 99 | ||
| 100 | /** | |
| 101 | * Returns the high value. | |
| 102 | * | |
| 103 | * @return The high value. | |
| 104 | */ | |
| 105 | public double getHigh() { | |
| 106 |
2
1. getHigh : replaced double return with 0.0d for org/jfree/data/time/ohlc/OHLC::getHigh → NO_COVERAGE 2. getHigh : replaced return of double value with -(x + 1) for org/jfree/data/time/ohlc/OHLC::getHigh → NO_COVERAGE |
return this.high; |
| 107 | } | |
| 108 | ||
| 109 | /** | |
| 110 | * Returns the low value. | |
| 111 | * | |
| 112 | * @return The low value. | |
| 113 | */ | |
| 114 | public double getLow() { | |
| 115 |
2
1. getLow : replaced double return with 0.0d for org/jfree/data/time/ohlc/OHLC::getLow → NO_COVERAGE 2. getLow : replaced return of double value with -(x + 1) for org/jfree/data/time/ohlc/OHLC::getLow → NO_COVERAGE |
return this.low; |
| 116 | } | |
| 117 | ||
| 118 | /** | |
| 119 | * Tests this instance for equality with an arbitrary object. | |
| 120 | * | |
| 121 | * @param obj the object ({@code null} permitted). | |
| 122 | * | |
| 123 | * @return A boolean. | |
| 124 | */ | |
| 125 | @Override | |
| 126 | public boolean equals(Object obj) { | |
| 127 |
2
1. equals : negated conditional → KILLED 2. equals : removed conditional - replaced equality check with true → KILLED |
if (obj == this) { |
| 128 |
3
1. equals : replaced boolean return with false for org/jfree/data/time/ohlc/OHLC::equals → NO_COVERAGE 2. equals : Substituted 1 with 0 → NO_COVERAGE 3. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return true; |
| 129 | } | |
| 130 |
3
1. equals : removed conditional - replaced equality check with false → SURVIVED 2. equals : negated conditional → KILLED 3. equals : removed conditional - replaced equality check with true → KILLED |
if (!(obj instanceof OHLC)) { |
| 131 |
3
1. equals : replaced boolean return with true for org/jfree/data/time/ohlc/OHLC::equals → NO_COVERAGE 2. equals : Substituted 0 with 1 → NO_COVERAGE 3. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return false; |
| 132 | } | |
| 133 | OHLC that = (OHLC) obj; | |
| 134 |
3
1. equals : negated conditional → KILLED 2. equals : removed conditional - replaced equality check with false → KILLED 3. equals : removed conditional - replaced equality check with true → KILLED |
if (this.open != that.open) { |
| 135 |
3
1. equals : replaced boolean return with true for org/jfree/data/time/ohlc/OHLC::equals → KILLED 2. equals : Substituted 0 with 1 → KILLED 3. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return false; |
| 136 | } | |
| 137 |
3
1. equals : negated conditional → KILLED 2. equals : removed conditional - replaced equality check with false → KILLED 3. equals : removed conditional - replaced equality check with true → KILLED |
if (this.close != that.close) { |
| 138 |
3
1. equals : replaced boolean return with true for org/jfree/data/time/ohlc/OHLC::equals → KILLED 2. equals : Substituted 0 with 1 → KILLED 3. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return false; |
| 139 | } | |
| 140 |
3
1. equals : negated conditional → KILLED 2. equals : removed conditional - replaced equality check with false → KILLED 3. equals : removed conditional - replaced equality check with true → KILLED |
if (this.high != that.high) { |
| 141 |
3
1. equals : replaced boolean return with true for org/jfree/data/time/ohlc/OHLC::equals → KILLED 2. equals : Substituted 0 with 1 → KILLED 3. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return false; |
| 142 | } | |
| 143 |
3
1. equals : negated conditional → KILLED 2. equals : removed conditional - replaced equality check with false → KILLED 3. equals : removed conditional - replaced equality check with true → KILLED |
if (this.low != that.low) { |
| 144 |
3
1. equals : replaced boolean return with true for org/jfree/data/time/ohlc/OHLC::equals → KILLED 2. equals : Substituted 0 with 1 → KILLED 3. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return false; |
| 145 | } | |
| 146 |
3
1. equals : replaced boolean return with false for org/jfree/data/time/ohlc/OHLC::equals → KILLED 2. equals : Substituted 1 with 0 → KILLED 3. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return true; |
| 147 | } | |
| 148 | ||
| 149 | /** | |
| 150 | * Returns a hash code for this instance. | |
| 151 | * | |
| 152 | * @return A hash code. | |
| 153 | */ | |
| 154 | @Override | |
| 155 | public int hashCode() { | |
| 156 |
1
1. hashCode : Substituted 193 with 194 → SURVIVED |
int result = 193; |
| 157 |
2
1. hashCode : replaced call to org/jfree/chart/HashUtils::hashCode with argument → SURVIVED 2. hashCode : removed call to org/jfree/chart/HashUtils::hashCode → SURVIVED |
result = HashUtils.hashCode(result, this.open); |
| 158 |
2
1. hashCode : replaced call to org/jfree/chart/HashUtils::hashCode with argument → SURVIVED 2. hashCode : removed call to org/jfree/chart/HashUtils::hashCode → SURVIVED |
result = HashUtils.hashCode(result, this.high); |
| 159 |
2
1. hashCode : replaced call to org/jfree/chart/HashUtils::hashCode with argument → SURVIVED 2. hashCode : removed call to org/jfree/chart/HashUtils::hashCode → SURVIVED |
result = HashUtils.hashCode(result, this.low); |
| 160 |
2
1. hashCode : replaced call to org/jfree/chart/HashUtils::hashCode with argument → SURVIVED 2. hashCode : removed call to org/jfree/chart/HashUtils::hashCode → SURVIVED |
result = HashUtils.hashCode(result, this.close); |
| 161 |
2
1. hashCode : replaced int return with 0 for org/jfree/data/time/ohlc/OHLC::hashCode → SURVIVED 2. hashCode : replaced return of integer sized value with (x == 0 ? 1 : 0) → SURVIVED |
return result; |
| 162 | } | |
| 163 | ||
| 164 | } | |
Mutations | ||
| 76 |
1.1 |
|
| 77 |
1.1 |
|
| 78 |
1.1 |
|
| 79 |
1.1 |
|
| 88 |
1.1 2.2 |
|
| 97 |
1.1 2.2 |
|
| 106 |
1.1 2.2 |
|
| 115 |
1.1 2.2 |
|
| 127 |
1.1 2.2 |
|
| 128 |
1.1 2.2 3.3 |
|
| 130 |
1.1 2.2 3.3 |
|
| 131 |
1.1 2.2 3.3 |
|
| 134 |
1.1 2.2 3.3 |
|
| 135 |
1.1 2.2 3.3 |
|
| 137 |
1.1 2.2 3.3 |
|
| 138 |
1.1 2.2 3.3 |
|
| 140 |
1.1 2.2 3.3 |
|
| 141 |
1.1 2.2 3.3 |
|
| 143 |
1.1 2.2 3.3 |
|
| 144 |
1.1 2.2 3.3 |
|
| 146 |
1.1 2.2 3.3 |
|
| 156 |
1.1 |
|
| 157 |
1.1 2.2 |
|
| 158 |
1.1 2.2 |
|
| 159 |
1.1 2.2 |
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| 160 |
1.1 2.2 |
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| 161 |
1.1 2.2 |


Input fields with float labels greatly improve the usability of Forms. The user focuses the input and does not lose the context of the field.
<md-input-container>
<input mdInput>
</md-input-container>
| Name | Type | Description | Default Value |
|---|---|---|---|
align |
"start" | "end" |
The alignment of the input or textarea . |
"start" |
dividerColor |
"primary" | "accent" | "warn" |
The color of the placeholder and underline. | "primary" |
floatingPlaceholder |
boolean |
Whether the placeholder should float above the input after text is entered. | true |
hintLabel |
string |
The hint text to show on the start end of the md-input-container |
null |
Switches toggle the state of a single settings option. The option that the switch controls, as well as the state it’s in, should be made clear from the corresponding inline label.
<md-slide-toggle>
Switch
</md-slide-toggle>
| Name | Type | Description | Default Value |
|---|---|---|---|
disabled |
boolean |
Disables the switch |
false |
color |
"primary" | "accent" | "warn" |
The color palette of the switch |
"accent" |
checked |
boolean |
Sets the value of the switch |
false |
Checkboxes allow the user to select multiple options from a set. If you have multiple options appearing in a list, you can preserve space by using checkboxes instead of switches.
<md-checkbox>
Checkbox
</md-checkbox>
| Name | Type | Description | Default Value |
|---|---|---|---|
disabled |
boolean |
Disables the checkbox |
false |
color |
"primary" | "accent" | "warn" |
The color palette of the checkbox |
"accent" |
checked |
boolean |
Sets the value of the checkbox |
false |
Selects should be used when there is a great variety of options to choose from.
<md-select>
<md-option>Option 1</md-option>
<md-option>Option 2</md-option>
</md-select>
| Name | Type | Description | Default Value |
|---|---|---|---|
disabled |
boolean |
Disables the checkbox |
false |
color |
"primary" | "accent" | "warn" |
The color palette of the checkbox |
"accent" |


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The Visiting Student Research Program (VSRP) is a unique program that offers students the chance to conduct innovative research at KAUST. With research opportunities that span the breadth of the scientific and engineering fields, driven students with insatiable curiosity and strong academic performance, can gain unparalleled opportunities to pursue their research questions under the guidance and support of KAUST faculty mentors. Get ready to contribute your ideas in an international research community.
Click Here.Online Internship: ASEAN Foundation Communication Internship 2020
The ASEAN Foundation seeks an intern to support the communication function of the organisation, led by the Communication Manager. To support all of ASEAN Foundation initiatives, an innovative and passionate communication interns are needed. As young people in ASEAN are one of the main target audience of the ASEAN Foundation, we will need a communication intern who understands the young generation’s insights and speaks their language.
Click Here.The KPMG Australia Data Analytics – Virtual Internship
The KPMG Data Analytics Virtual Internship is designed to help you gain a practical insight into the work they do at KPMG and it is an opportunity for you to build your career skills and experience. It is not the intention for KPMG to hire students based on their performance in this virtual internship and completing the program is not a pre-requisite when applying for current vacancies. This virtual internship is an opportunity for you to demonstrate your interest in KPMG and they will consider students favorably who complete the program.
Click Here.


Green-Clean Your Clothes
Use biodegradable laundry detergents, hang your clothes out to dry when possible, and wait over one week to wash clothes.
 By being more aware and planning out beforehand, you can create less waste by spending only on what you need.


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface ModuleIF
INTERNAL: Implemented by an object which represents a module. That is a collection of functions. The module is read in from a location specified by an URL.
FunctionIF
| Method Summary | |
|---|---|
void |
addFunction(FunctionIF func)
Adds a function to this module. |
void |
clearFunctions()
Removes all existing functions. |
Collection |
getFunctions()
Gets a collection of FunctionIF objects that are contained in this module. |
URL |
getURL()
Gets the URL from where this module was read in. |
boolean |
hasResourceChanged()
Checks if the resource has changed in the meantime by comparing the lastModified fields. |
void |
readIn()
Reads in functions contained in module from resource. |
String |
toString()
Returns a string representation of this object. |
| Method Detail |
|---|
URL getURL()
boolean hasResourceChanged()
void readIn() throws NavigatorRuntimeException
NavigatorRuntimeException
void clearFunctions()
Collection getFunctions()
FunctionIF
void addFunction(FunctionIF func)
String toString()
toString
in class Object
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Apache Flink ML 2.1.0 Release Announcement
July 12, 2022 - Zhipeng Zhang Dong LinThe Apache Flink community is excited to announce the release of Flink ML 2.1.0! This release focuses on improving Flink ML’s infrastructure, such as Python SDK, memory management, and benchmark framework, to facilitate the development of performant, memory-safe, and easy-to-use algorithm libraries. We validated the enhanced infrastructure by implementing, benchmarking, and optimizing 10 new algorithms in Flink ML, and confirmed that Flink ML can meet or exceed the performance of selected algorithms from alternative popular ML libraries. In addition, this release added example Python and Java programs for each algorithm in the library to help users learn and use Flink ML.
With the improvements and performance benchmarks made in this release, we believe Flink ML’s infrastructure is ready for use by the interested developers in the community to build performant pythonic machine learning libraries.
We encourage you to download the release and share your feedback with the community through the Flink mailing lists or JIRA! We hope you like the new release and we’d be eager to learn about your experience with it.
Notable Features #
API and Infrastructure #
Supporting fine-grained per-operator memory management #
Before this release, algorithm operators with internal states (e.g. the training data to be replayed for each round of iteration) store state data using the state-backend API (e.g. ListState). Such an operator either needs to store all data in memory, which risks OOM, or it needs to always store data on disk. In the latter case, it needs to read and de-serialize all data from disks repeatedly in each round of iteration even if the data can fit in RAM, leading to sub-optimal performance when the training data size is small. This makes it hard for developers to write performant and memory-safe operators.
This release enhances the Flink ML infrastructure with the mechanism to specify the amount of managed memory that an operator can consume. This allows algorithm operators to write and read data from managed memory when the data size is below the quota, and automatically spill those data that exceeds the memory quota to disks to avoid OOM. Algorithm developers can use this mechanism to achieve optimal algorithm performance as input data size varies. Please feel free to check out the implementation of the KMeans operator for example.
Improved infrastructure for developing online learning algorithms #
A key objective of Flink ML is to facilitate the development of online learning applications. In the last release, we enhanced the Flink ML API with setModelData() and getModelData(), which allows users of online learning algorithms to transmit and persist model data as unbounded data streams. This release continues the effort by improving and validating the infrastructure needed to develop online learning algorithms.
Specifically, this release added two online learning algorithm prototypes (i.e. OnlineKMeans and OnlineLogisticRegression) with tests covering the entire lifecycle of using these algorithms. These two algorithms introduce concepts such as global batch size and model version, together with metrics and APIs to set and get those values. While the online algorithm prototypes have not been optimized for prediction accuracy yet, this line of work is an important step toward setting up best practices for building online learning algorithms in Flink ML. We hope more contributors from the community can join this effort.
Algorithm benchmark framework #
An easy-to-use benchmark framework is critical to developing and maintaining performant algorithm libraries in Flink ML. This release added a benchmark framework that provides APIs to write pluggable and reusable data generators, takes benchmark configuration in JSON format, and outputs benchmark results in JSON format to enable custom analysis. An off-the-shelf script is provided to visualize benchmark results using Matplotlib. Feel free to check out this README for instructions on how to use this benchmark framework.
The benchmark framework currently supports evaluating algorithm throughput. In the future release, we plan to support evaluating algorithm latency and accuracy.
Python SDK #
This release enhances the Python SDK so that operators in the Flink ML Python library can invoke the corresponding operators in the Java library. The Python operator is a thin-wrapper around the Java operator and delivers the same performance as the Java operator during execution. This capability significantly improves developer velocity by allowing algorithm developers to maintain both the Python and the Java libraries of algorithms without having to implement those algorithms twice.
Algorithm Library #
This release continues to extend the algorithm library in Flink ML, with the focus on validating the functionalities and the performance of Flink ML infrastructure using representative algorithms in different categories.
Below are the lists of algorithms newly supported in this release, grouped by their categories:
- Feature engineering (MinMaxScaler, StringIndexer, VectorAssembler, StandardScaler, Bucketizer)
- Online learning (OnlineKmeans, OnlineLogisiticRegression)
- Regression (LinearRegression)
- Classification (LinearSVC)
- Evaluation (BinaryClassificationEvaluator)
Example Python and Java programs for these algorithms are provided on the Apache Flink ML website to help users learn and try out Flink ML. And we also provided example benchmark configuration files in the repo for users to validate Flink ML performance. Feel free to check out this README for instructions on how to run those benchmarks.
Upgrade Notes #
Please review this note for a list of adjustments to make and issues to check if you plan to upgrade to Flink ML 2.1.0.
This note discusses any critical information about incompatibilities and breaking changes, performance changes, and any other changes that might impact your production deployment of Flink ML.
-
Flink dependency is changed from 1.14 to 1.15.
This change introduces all the breaking changes listed in the Flink 1.15 release notes.
Release Notes and Resources #
Please take a look at the release notes for a detailed list of changes and new features.
The source artifacts is now available on the updated Downloads page of the Flink website, and the most recent distribution of Flink ML Python package is available on PyPI.
List of Contributors #
The Apache Flink community would like to thank each one of the contributors that have made this release possible:
Yunfeng Zhou, Zhipeng Zhang, huangxingbo, weibo, Dong Lin, Yun Gao, Jingsong Li and mumuhhh.


To activate WEBuffet, press and hold anywhere inside the page for just 1 second.
It is recommended to target somewhere which is not a link or a button since they may work after press and hold.


| Billing address | |
|---|---|
| Full name | {{billingData?.billing_address?.first_name}} {{billingData?.billing_address?.last_name}} |
| {{billingData?.billing_address.email}} | |
| Phone | {{billingData?.billing_address?.phone_number}} |
| Fax | {{billingData?.billing_address?.fax_number}} |
| Company | {{billingData?.billing_address?.company}} |
| Address 1 | {{billingData?.billing_address?.address1}} |
| Address 2 | {{billingData?.billing_address?.address2}} |
| City | {{billingData?.billing_address?.city}} |
| State / province | {{displaybilling?.name}} |
| Zip / postal code | {{billingData?.billing_address.zip_postal_code}} |
| Country | {{billingData?.billing_address.country}} |
| Shipping address | |
|---|---|
| Full name | {{billingData?.shipping_address?.first_name}} {{billingData?.shipping_address?.last_name}} |
| {{billingData?.shipping_address?.email}} | |
| Phone | {{billingData?.shipping_address?.phone_number}} |
| Fax | {{billingData?.shipping_address?.fax_number}} |
| Company | {{billingData?.shipping_address?.company}} |
| Address 1 | {{billingData?.shipping_address?.address1}} |
| Address 2 | {{billingData?.shipping_address?.address2}} |
| City | {{billingData?.shipping_address?.city}} |
| State / province | {{displayshipping?.name}} |
| Zip / postal code | {{billingData?.shipping_address?.zip_postal_code}} |
| Country | {{billingData?.shipping_address?.country}} |
| Shipping address | |
|---|---|
| Shipping not required |


Format: CursorSprite model,
Example: CursorSprite "UI/Cursor/NightElfCursor.mdx",
Purpose: Changes the MouseCursor while it is in the Frame's controled space. Unsure how exactly it works, was only able to get the confirm target texture from the default cursors
Used in:


--- title: Welcome to the Official `fastai` docment Sprint! keywords: fastai sidebar: home_sidebar nb_path: "nbs/index.ipynb" ---
First you should quickly watch the introductory stream fastai docments Sprint Kick-Off. It will quickly catch you up to speed on how to contribute to the library, what the overall sprint will look like, as well as the recommended way to create your first PR!
Below are quick TL;DR's of what is stated in the video, meant as a quick reminder plus important links.
You!
More specifically, anyone and everyone is invited to come along and help with this endevor. No matter how much experience you have with coding or the library, with the exploratory aspect of this sprint and it being documentation focused, much of the library's insides will be new to folks and prone to discovery so absolutely come in and try it out!
Most of the communication of this sprint will live inside of the fastai discord. Inside, you can ping any of the senior members acting as guides throughout this sprint with any troubles, discuss the right way to approach a strange class, or just come say hi!
I (Zach Mueller) will also be commiting to streaming for 2-3 hours for at least 4-5 days a week in the evenings (around 6pm EST) inside the Discord, with a few streams in the early morning for folks in other timezones. To keep an ear out for when I stream either keep an eye on the discord, or follow me on twitter.
From the sprint-repo hit the "Fork" button on the top right corner, and begin editing your branch.
Be sure to check the active issues to see what sections of the library still need to be done to pick what you would like to docment
Once you are ready, open a "Pull Request" in the repo pointing to your fork, and write a clean Pull Request from the template describing what you docmented!
For a full video guide of this in-depth, please follow this link (LINK WILL BE LIVE POST STREAM)


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Rice Magazine is staffed by a motivated international team of student writers, journalists and artists. Whether from Shanghai, Manhattan, Punjab, Seoul, or anywhere in between, our members all share a passion for Asian culture and a drive to express this passion to those around them.


The core-button web component can include an attribute tag to control the color of the button.
The color can be specified in the core-button tag as follows: color="primary"
. The possible
color attribute values are primary
, secondary
, and dark
. If no color
attribute is specified a default color will be applied.
The core-button web component can include an attribute tag to add an animation to the button.
To add an animated add the animated
attribute inside the core-button tag.
The core-button web component can include an attribute tag to control the size of the button.
The size can be specified in the core-button tag as follows: size="small"
. The possible
size attributes are small
, medium
, and large
. If no size
attribute is specified a default size will be applied.
The core-button web component can include an attribute tag to add a shadow below the button.
To add a button shadow add the shadow
attribute inside the core-button tag.
The core-button web component can include an attribute tag to add rounded corners to a button.
To add rounded corners add the rounded
attribute inside the core-button tag.
The core-button web component can include an attribute tag to make circular buttons.
To create circular buttons add the circle
attribute inside the core-button tag.


Are you sure?


Cancer is a collection of over 200 diseases in which cells of an organ or tissue in the body become abnormal, growing and multiplying out of control.
Cancer is NOT caused by witchcraft or any form of supernatural force. Cancer is a disease that can affect anyone, anywhere, in any country, at anytime. Cancer is a complex group of diseases with many possible causes
If a cancer is suspected from your symptoms:
1.Your doctor will examine you to look for abnormalities such as a lump under the skin or an enlarged liver.
You may be referred for tests such as X-rays, scan, blood tests, endoscopy, colonoscopy, bronchoscopy, etc depending on where the suspected cancer is situated. These tests can often find the exact site of a suspected cancer. However, a biopsy** is often needed to be certain that the abnormality is a cancer and not something else (such as a benign tumour).
Treatment options vary, depending on the type of cancer and how far it has grown or spread. The three most common treatments are:
It may be possible to operate and remove malignant turmours.
This is a treatment that uses anti-cancer drugs to kill cancer cells, or to stop them from multiplying. There are various different types of drugs used for chemotherapy. The drug or combination of drugs selected depends on the type of cancer being treated.
This is a treatment that uses high energy beams of radiation which are focused on cancerous tissue. This kills cancer cells, or stops cancer cells from multiplying.
This is where drugs are used to block the effects of hormones. This treatment may be used for cancers that are “hormone sensitive” such as some cancers of the breast, prostate and uterus.
High dose chemotherapy may damage bone marrow cells and lead to blood problems. However, if you receive healthy bone marrow after the chemotherapy then this helps to overcome this problem.
Is a new area of possible treatments. Research is underway to find ways of blocking, repairing or replacing abnormal genes in cancer cells.
Some treatments can boost the immune system to help to fight cancer.


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{%- extends 'base.html' -%} {%- block content -%}
Eternal Gratitude ... ÖU is a for-profit company that is run as a non-profit company.
We plan to only raise enough funds to cover our costs for operating the site, creating 3D models and providing us the tools to do this. We will never take dividends or otherwise profit from operating this site.
However, we do have costs to take pictures of human models, sign modeling release contracts, make 3D models, provide human models with one printed 3D model of their own genitalia (as a thank you) and a host of other small costs.
If you appreciate what we do with this site, we would appreciate a small support payment. Since we are a for profit company masquerading as a non-profit, we cannot really call them donations and these payments are also not tax deductible.
Each year we raise funds to cover our operational cost for the next year. Once our budget has been met, we will redirect visitors to donate to other sex-positive non-profits rathen than to us.
This budget for this year has not been met. Please consider making a small support payment:
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We are glad to welcome to you to @Moments.Have fun and get to meet new friends as we all documents all our precious moments.


| local property | description |
|---|---|
| config | Absolute path to the .loft_deploy directory |
| script | Absolute path to the ldp binary |
| user | SSH username |
| ip | SSH hostname or IP address |
production:
config: /var/www/website/.loft_deploy
script: /usr/local/bin/ldp
user: USERNAME
ip: NN.NN.NNN.NNN
staging:
config: /var/www/test.website/.loft_deploy
script: /usr/local/bin/ldp
user: USERNAME
ip: NN.NN.NNN.NNN
local:
location: ITLS
url: website.local
basepath: /Users/aklump/Code/Projects/Client/Website/site/dist/
role: dev
files:
- private/default/files
- web/sites/default/files
| local property | description |
|----------|----------|
| location | The business name of the physical location |
| url | The URL of the local website without protocol |
| basepath | The absolute local path to the project root; used to resolve relative links in the local
configuration. (This is prepended to all other paths in _
local_, which do not begin with a forward slash) |
| role | One of: dev, staging, production |
| files | Up to three relative or absolute local file paths, which will be used in the files operations |
| drupal | Use this with a Drupal application to read in the database settings automatically. |
| drupal.root | Required. Relative path to the Drupal web root. |
| drupal.settings | < Drupal 8 only. Relative path to the settings.php. |
| drupal.database | The database key if other than default
. |
| database | See different configurations below... |
| database.backups | Required. Relative path to the backup directory for database exports. |
local:
database:
backups: private/default/db/purgeable
host: localhost
user: DB_USER
password: "PASSWORD-GOES-HERE"
name: DB_NAME
ldp clearcache
manually.local.drupal.settings
.local.drupal.database
will default to default
, when not provided.local:
drupal:
root: web
settings: web/sites/default/settings.php
database: default
database:
backups: private/default/db/purgeable
When using Lando you need to indicate the name of the Lando database service. This will be used to resolve the local/host database connections.
local:
database:
backups: private/default/db/purgeable
lando: database
However, if also using Drupal, you must set the value to @drupal
as in
this second example; this indicates that lando should convert the Drupal settings to the external/host credentials before passing them off to Loft Deploy.
local:
drupal:
root: web
database:
backups: private/default/db/purgeable
lando: '@drupal'
You can define the binaries (except PHP) to use; more info in _ includes/schema--config.json_.
bin:
mysql: /Applications/MAMP/Library/bin/mysql
gzip: /usr/bin/gzip
You can override the PHP version by setting the environment
variable LOFT_DEPLOY_PHP
with the path to the correct version. Note: You
cannot add PHP to the YAML configuration.
export LOFT_DEPLOY_PHP="/Applications/MAMP/bin/php/php7.1.12/bin/php"
If you're calling this from the CLI you can do like this:
export LOFT_DEPLOY_PHP=/Applications/MAMP/bin/php/php7.1.12/bin/php; ldp export foo_bar -fy
export LOFT_DEPLOY_PHP=/usr/local/php74/bin/php


Pricing - All our plans include a 30-Day free trial.
Canvases - Each canvas is a different workspace to place new tiles.
Tiles - Tiles are your projects and each will be able to host their own files.
Storage - The more storage you have the more files you can host.
Tilers - Share projects and collaborate with other Tilers.


Home
Getting started
Documentation
Responsive
Media Queries
Visibility
Fluid
Growing
Grid basics
Typography
Element sizing
Components
Icons
Icons Font(iconoset)
Forms
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Borders
Chips and Badges
Images
Contextual colors
Progress bars
Panels
Tables
Tooltip
Anchor
Utilities
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Dividers
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float
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Examples
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Copyright (c) 2011-2019


Student at Ynov Informatique and employee at the Ministry of the Armed Forces.
Currently doing my 4th year for a Master in Data Scientist.


See: Description
| Interface | Description |
|---|---|
| CMSAttributeTableGenerator |
Note: The SIGNATURE parameter is only available when generating unsigned attributes.
|
| CMSProcessable |
Use CMSTypedData instead of this.
|
| CMSSignatureAlgorithmNameGenerator | |
| CMSSignatureEncryptionAlgorithmFinder |
Finder which is used to look up the algorithm identifiers representing the encryption algorithms that
are associated with a particular signature algorithm.
|
| CMSTypedData | |
| KEKRecipient | |
| KeyAgreeRecipient | |
| KeyTransRecipient | |
| PasswordRecipient | |
| Recipient | |
| RecipientInfoGenerator | |
| SignerInformationVerifierProvider |
| Class | Description |
|---|---|
| CMSAbsentContent |
a class representing null or absent content.
|
| CMSAlgorithm | |
| CMSAuthenticatedData |
containing class for an CMS Authenticated Data object
|
| CMSAuthenticatedDataGenerator |
General class for generating a CMS authenticated-data message.
|
| CMSAuthenticatedDataParser |
Parsing class for an CMS Authenticated Data object from an input stream.
|
| CMSAuthenticatedDataStreamGenerator |
General class for generating a CMS authenticated-data message stream.
|
| CMSAuthenticatedGenerator | |
| CMSCompressedData |
containing class for an CMS Compressed Data object
CMSCompressedData cd = new CMSCompressedData(inputStream);
process(cd.getContent(new ZlibExpanderProvider()));
|
| CMSCompressedDataGenerator |
General class for generating a compressed CMS message.
|
| CMSCompressedDataParser |
Class for reading a CMS Compressed Data stream.
|
| CMSCompressedDataStreamGenerator |
General class for generating a compressed CMS message stream.
|
| CMSConfig | |
| CMSContentInfoParser | |
| CMSDigestedData |
containing class for an CMS Digested Data object
CMSDigestedData cd = new CMSDigestedData(inputStream);
process(cd.getContent());
|
| CMSEncryptedData | |
| CMSEncryptedDataGenerator |
General class for generating a CMS enveloped-data message.
|
| CMSEncryptedGenerator |
General class for generating a CMS encrypted-data message.
|
| CMSEnvelopedData |
containing class for an CMS Enveloped Data object
Example of use - assuming the first recipient matches the private key we have.
|
| CMSEnvelopedDataGenerator |
General class for generating a CMS enveloped-data message.
|
| CMSEnvelopedDataParser |
Parsing class for an CMS Enveloped Data object from an input stream.
|
| CMSEnvelopedDataStreamGenerator |
General class for generating a CMS enveloped-data message stream.
|
| CMSEnvelopedGenerator |
General class for generating a CMS enveloped-data message.
|
| CMSProcessableByteArray |
a holding class for a byte array of data to be processed.
|
| CMSProcessableFile |
a holding class for a file of data to be processed.
|
| CMSSignedData |
general class for handling a pkcs7-signature message.
|
| CMSSignedDataGenerator |
general class for generating a pkcs7-signature message.
|
| CMSSignedDataParser |
Parsing class for an CMS Signed Data object from an input stream.
|
| CMSSignedDataStreamGenerator |
General class for generating a pkcs7-signature message stream.
|
| CMSSignedGenerator | |
| CMSTypedStream | |
| DefaultAuthenticatedAttributeTableGenerator |
Default authenticated attributes generator.
|
| DefaultCMSSignatureAlgorithmNameGenerator | |
| DefaultCMSSignatureEncryptionAlgorithmFinder | |
| DefaultSignedAttributeTableGenerator |
Default signed attributes generator.
|
| KEKRecipientId | |
| KEKRecipientInfoGenerator | |
| KEKRecipientInformation |
the RecipientInfo class for a recipient who has been sent a message
encrypted using a secret key known to the other side.
|
| KeyAgreeRecipientId | |
| KeyAgreeRecipientInfoGenerator | |
| KeyAgreeRecipientInformation |
the RecipientInfo class for a recipient who has been sent a message
encrypted using key agreement.
|
| KeyTransRecipientId | |
| KeyTransRecipientInfoGenerator | |
| KeyTransRecipientInformation |
the KeyTransRecipientInformation class for a recipient who has been sent a secret
key encrypted using their public key that needs to be used to
extract the message.
|
| OriginatorInfoGenerator | |
| OriginatorInformation | |
| PasswordRecipientId | |
| PasswordRecipientInfoGenerator | |
| PasswordRecipientInformation |
the RecipientInfo class for a recipient who has been sent a message
encrypted using a password.
|
| RecipientId | |
| RecipientInformation | |
| RecipientInformationStore | |
| RecipientOperator | |
| SignerId |
a basic index for a signer.
|
| SignerInfoGenerator | |
| SignerInfoGeneratorBuilder |
Builder for SignerInfo generator objects.
|
| SignerInformation |
an expanded SignerInfo block from a CMS Signed message
|
| SignerInformationStore | |
| SignerInformationVerifier | |
| SimpleAttributeTableGenerator |
Basic generator that just returns a preconstructed attribute table
|
| Exception | Description |
|---|---|
| CMSAttributeTableGenerationException | |
| CMSException | |
| CMSRuntimeException | |
| CMSSignerDigestMismatchException | |
| CMSStreamException | |
| CMSVerifierCertificateNotValidException |


1.2 Object classes
There are three approaches to non base type
data objects to R.
All three of these approaches use a class
to identify what data is stored in the object.
The class of an object defines how the data is
used as opposed to the type
,
which only identifies the format of what is stored in an element.
For example, consider an object that is the result
of some statistical test.
The class
of the object defines the meaning the
data, some possible items might be, p-value, number
of observations, etc.
The type defines how it is stored, double
, integer
,
etc.
The S3 approach is the most common
(as of the writing of this chapter) approach
for adding classes.
You have likely been using S3 objects without
know it.
Examples of S3 objects are,
factor
and data.frame
.
These classes are part of base R and are widely
used.
The details of the S3 approach are hidden from
users of these data objects.
The other two approaches for adding classed data objects
are S4 and reference classes.
S4 is the more common of the two and is used by
packages such as lme4
and bioconductor
.
These will not be covered here.
The rest of this section focuses on S3 classes.
An S3 objects is a base type objects with
a class
attribute added.
Depending on the class of the object,
other attributes may be associated with the object.
Base type objects have an implicit class.
This class is not an attribute of the object.
So, all object have a class
.
Not all objects use store the class
as an attribute.
A few useful functions
class()
returns the class of an object. The class may be a list of classes.factor()
creates an object of classfactor
.data.frame()
creates an object of classdata.frame
.matrix()
creates an object of classmatrix
.is.vector()
does not returnTRUE
if the object is one dimensional sequence of elements. It returnsTRUE
if the object type is one of the base types and it has no attribute other thannames
. This may seem like confusing behavior. You can understand it as determining if an object is a base type vector.
1.2.1 Factors
Factors are used to represent categorical variables.
Factors are integer
atomic vectors.
They have a levels
attribute that stores the name of
the level for each integer value of the factor.
Depending where it is used,
the factor may be used an integer
, character
,
or a set of indicator variables.
<IP_ADDRESS> Examples
Creating a factor object
The follow creates a factor object with two levels.
[1] A B A B Levels: A B
The properties of a
factor
The type of a
factor
isinteger
.[1] "integer"
The length of a
factor
is the number of elements.[1] 4
A
factor
is atomic, since elements areinteger
.[1] TRUE
The
is.vector()
returns FALSE for afactor
.[1] FALSE
The attributes of a
factor
.A
factor
object hasclass
andlevels
attributes.$levels [1] "A" "B" $class [1] "factor"
1.2.2 data.frames
The data.frame objects store table like data.
They have rows and columns of data.
There is a sequential order to both the rows and columns.
A tibble
is a tidyverse implementation of a data.frame
.
They are similar in many ways to a data.frame
and
will not be covered in this chapter.
A data.frame
is a list with elements with the following
properties.
The objects must be an atomic vector or a class object built on atomic vectors, such as factors.
If the element is class object, it can not have a
dim
attribute.All elements must have the same
length
.The vectors can be of different types and class.
A data.frame is a two dimensional structure, even if there is only a single column in the data frame. It is common for a data set to be organized such that the vectors are the variables and each row is an observation.
<IP_ADDRESS> Examples
Creating a
data.frame
Here a data frame is created using
vec1
,vec2
,vec3
, andvec4
as the columns of thedata.frame
.vec1 vec2 vec3 vec4 first 7 1 A TRUE second 5 2 B FALSE third 3 4 A FALSE fourth 1 8 B TRUE
The properties of a
data.frame
.The
type
of adata.frame
islist
.[1] "list"
The
class
of adata.frame
isdata.frame
.[1] "data.frame"
A
data.frame
is not atomic.[1] FALSE
The
length()
of adata.frame
is the number of columns in thedata.frame
.[1] 4
The attributes of a
data.frame
.$names [1] "vec1" "vec2" "vec3" "vec4" $class [1] "data.frame" $row.names [1] "first" "second" "third" "fourth"
type
is not used for dispatch.
1.2.3 Matrices
There are two common packages that support matrix
objects, base
and matrix
.
The Matrix
package supports a richer set of
functions and accesses popular libraries for
some calculations.
Both of these matrix
objects are virtual classes,
a class that is not visible through the class attribute.
They are not a base type and they
also do not have an attribute of class
.
A matrix object is atomic with
a dim
, dimension, attribute.
The length of the dim
attribute must be two
for matrices.
<IP_ADDRESS> Examples
Creating matrices
The following creates a matrix defining the number of row.
[,1] [,2] [,3] [,4] [1,] 1 4 7 10 [2,] 2 5 8 11 [3,] 3 6 9 12
The following creates a matrix defining the number of columns.
[,1] [,2] [,3] [,4] [1,] 1 4 7 10 [2,] 2 5 8 11 [3,] 3 6 9 12
The following creates a matrix with the data given in row form.
[,1] [,2] [,3] [,4] [1,] 1 2 3 4 [2,] 5 6 7 8 [3,] 9 10 11 12
a b c d x 1 4 7 10 y 2 5 8 11 z 3 6 9 12
The properties of a
matrix
.[1] "integer"
[1] TRUE
[1] 12
The attributes of a
matrix
.$dim [1] 3 4 $dimnames $dimnames[[1]] [1] "x" "y" "z" $dimnames[[2]] [1] "a" "b" "c" "d"
1.2.4 Summary (TL; DR)
The following table displays the properties and
class
of common data objects.[1] "vec1" "vec2" "vec3" "vec4" "vec5" [6] "list1" "matrix1" "data_frame1"
Warning: Setting row names on a tibble is deprecated.
type class atomic is.numeric vector object vec1 integer integer TRUE TRUE TRUE FALSE vec2 double numeric TRUE TRUE TRUE FALSE vec3 character character TRUE FALSE TRUE FALSE vec4 logical logical TRUE FALSE TRUE FALSE vec5 integer factor TRUE FALSE FALSE TRUE list1 list list FALSE FALSE TRUE FALSE matrix1 integer matrix TRUE TRUE FALSE FALSE data_frame1 list data.frame FALSE FALSE FALSE TRUE


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Golaghat DC Dhiren Hazarika issues Prohibition on collection of donation
A Correspondent
GOLAGHAT: The Deputy Commissioner-cum-District magistrate of Golaghat, Dhiren Hazarika issued an order of prohibition on collection of donation in the district for maintenance of law and order in the district.
In-office order no. GMJ.08.2012/pt-1/8774 dated Nov 15, 2019, the District Magistrate said that a sensitive law and order situation was prevailing in the Golaghat district owing to various reasons and due to unauthorized collection of funds there was every likelihood of breach of public peace and tranquillity. Emergent steps had to be taken in order to prevent any untoward incident likely to cause a breach of public peace and tranquillity in the district, endangering the safety of public life and property.
Golaghat DC Dhiren Hazarika promulgated prohibitory order on financial collection (Chanda) forcefully subscription/ donation, roadside collection, extortion in any manner or form from any person, business establishments, office or intimidation of such kind by any person or organization for such collection. This order comes into force with immediate effect and till further orders and any violation of this order is punishable U/S 188 IPC, stated the order.
Also Read: Awareness meeting on man-elephant conflict held in Golaghat
Also Watch: Govt all set to push for the contentious Citizenship Bill in the winter session of Parliament


Vocabulary
List #11
| Word | Part of Speech | Definition |
|---|---|---|
| flagrant | adjective | glaringly bad; outrageous |
| patrician | noun | an aristocrat |
| emissary | noun | one sent on a special mission to represent others |
| kindred | adjective | having similar origin, nature, or character |
| fracas | noun | a loud quarrel or fight |
| lacerate | verb | to tear (flesh) jaggedly |
| futile | adjective | useless; pointless |
| immaculate | adjective | spotless; perfect |
| gait | noun | manner of walking |
| carp | verb | to complain or find fault in a petty or nagging way |
| query | verb | to ask; to inquire |
| queue | noun | a line of people or vehicles |
| nefarious | adjective | very wicked |
| genesis | noun | beginning; origin |
| facade | noun | a deceptive outward appearance; a misrepresentation |


Before Change
train_X, train_y = zip(*train_data)
dev_X, dev_y = zip(*check_data)
dev_y = model.ops.flatten(dev_y)
with model.begin_training(train_X, train_y) as (trainer, optimizer):
trainer.batch_size = 8
trainer.nb_epoch = 10
trainer.dropout = 0.2
After Change
lambda: print(model.evaluate(dev_X, dev_y)))
for X, y in trainer.iterate(train_X, train_y):
yh, backprop = model.begin_update(X, drop=trainer.dropout)
backprop([yh[i]-y[i] for i in range(len(yh))], optimizer)
with model.use_params(optimizer.averages):
print(model.evaluate(dev_X, dev_y))


ABSTRACT
Daszykowski M., Siedlecka S. Analysis of pedestrian accidents in Poland. Visnyk of National Transport University. Series «Technical sciences». Scientific and Technical Collection. – Kyiv: National Transport University, 2021. – Issue 3 (50).
Pedestrian crossings today are an indispensable element of the road infrastructure. There are more and more of them. The reason for this state of affairs is the constantly constant level of pedestrian intensity and the need to change the path of the footpath.
Pedestrian accidents occur as a result of many factors related to weather conditions or the technical condition of the vehicle. However, in Poland, most often the event happens due to human error, then the driver of a car or a pedestrian. In addition, the high accident rate depends on poor road infrastructure. Unfortunately, a pedestrian is the victim of every third accident in our country. Pedestrians are among the group of vulnerable road users in which participation in an accident has very serious consequences.
The importance of this problem can be demonstrated by the fact that 270,000 pedestrians are killed on the world's roads every year. Globally, almost 22% of all fatalities are from pedestrian accidents, and this is an average value, as there are countries where this percentage exceeds 66%. Pedestrian safety is a serious problem on Polish roads.
In Poland, most pedestrian accidents occur at pedestrian crossings. This is where pedestrians and vehicles cross, creating a risk of collisions between these road users. These accidents are caused by insufficient visibility of the driver and pedestrians.
The analysis of police statistics made it possible to assess the effectiveness of factors aimed at improving road safety at pedestrian crossings. The main one is traffic light. Thanks to him, pedestrian crossings are safer.
A big problem, which is still significant, is the concentration of pedestrian’s attention on phone screens. To prevent collisions with pedestrians, they do not monitor their safety when crossing the road, there are special programs for phones, the use of advertising campaigns, the installation of LED strips or the use of 3D strips.
KEYWORDS: PEDESTRIAN, PEDESTRIAN CROSSING, ROAD SAFETY, ROAD ACCIDENTS, CAUSES OF ACCIDENTS WITH PEDESTRIANS.
REFERENCES
AUTHORS
DASZYKOWSKI Maciej, Rzeszow University of Technology, Department of Motor Vehicles and Transport Engineering<EMAIL_ADDRESS>tel: +48 533268208, Warsaw Insurgents Boulevard 12, 35-959, Rzeszow, Poland, orcid.org/0000-0003-4924-6637.
SIEDLECKA Sylwia, MSc. Rzeszow University of Technology, Department of Motor Vehicles and Transport Engineering, e-mail<EMAIL_ADDRESS>tel.: +48 17 865 1524, Warsaw Insurgents Boulevard 12, 35-959, Rzeszow, Poland, orcid.org/0000-0003-3938-1800.
REVIEWERS
Lubas Janush, Doctor of Technical Sciences, professor, Rzeszow University of Technology, professor of the motor vehicles and transport engineering department, Rzeszow, Poland.
Mateichyk V.P, Doctor of Technical Sciences, Professor, National Transport University, professor of ecology and safety of vital functions department, Kyiv, Ukraine.
Article language:Polish
Open Access: http://publications.ntu.edu.ua/visnyk/50/011-021.pdf
Print date: 29.09.2021
Online publication date: 30.10.2021


See: Description
Pig runs on hadoop MapReduce, reading data from and writing data to HDFS, and doing processing via one or more MapReduce jobs.

Pig shares many similarities with a traditional RDBMS design. It has a parser, type checker, optimizer, and operators that perform the data processing. However, there are some significant differences. Pig does not have a data catalog, there are no transactions, pig does not directly manage data storage, nor does it implement the execution framework.
PhysicalPlan
.
This Physical Plan contains the operators that will be applied to the data. This is then
divided into a set of MapReduce jobs by the
MRCompiler
into an
MROperPlan
. This
MROperPlan (aka the map reduce plan) is then optimized (for example, the combiner is used where
possible, jobs that scan the same input data are combined where possible, etc.). Finally a set of
MapReduce jobs are generated by the
JobControlCompiler
. These are
submitted to Hadoop and monitored by the
MapReduceLauncher
.
On the backend, each
PigGenericMapReduce.Map
,
PigCombiner.Combine
, and
PigGenericMapReduce.Reduce
use the pipeline of physical operators constructed in the front end to load, process, and store
data.
In addition to the command line and grunt interfaces, users can connect to
PigServer
from a Java program.
Pig makes it easy for users to extend its functionality by implementing User Defined Functions
(UDFs). There are interfaces for defining functions to load data
LoadFunc
, storing data StoreFunc
, doing evaluations
on fields (including collections of data, so user defined aggregates are possible)
EvalFunc
and filtering data FilterFunc
.
Copyright © 2007-2017 The Apache Software Foundation


People who are involved in various aspects of STEM, from Industry, Government, Education, Not-For-Profits, and the Community.
A place to find educational resources, personal development opportunities and ideas.
A channel for demonstrating STEM related activies and finding events that compliment your business activities.
A great starting point for demonstrating Hacker talents, and promoting STEAM as a lifelong passion.
Website underconstruction - regular meetings are held to discuss the building activities for this regional hub.
Please stay tuned.


| Package | Description |
|---|---|
| com.destroystokyo.paper.event.entity | |
| org.bukkit |
More generalized classes in the API.
|
| org.bukkit.configuration |
Classes dedicated to handling a plugin's runtime configuration.
|
| org.bukkit.entity |
Interfaces for non-voxel objects that can exist in a
world , including all players, monsters, projectiles, etc. |
| org.bukkit.event.block | |
| org.bukkit.event.entity | |
| org.bukkit.event.player | |
| org.bukkit.projectiles |
Classes to represent the source of a projectile
|
| org.bukkit.util |
Multi and single purpose classes to facilitate various programmatic
concepts.
|
| Modifier and Type | Method and Description |
|---|---|
Vector |
EntityKnockbackByEntityEvent.getAcceleration() |
| Constructor and Description |
|---|
EntityKnockbackByEntityEvent(LivingEntity entity,
Entity hitBy,
float knockbackStrength,
Vector acceleration) |
| Modifier and Type | Method and Description |
|---|---|
Vector |
Location.getDirection()
Gets a unit-vector pointing in the direction that this Location is
facing.
|
Vector |
Location.toVector()
Constructs a new
Vector based on this Location |
| Modifier and Type | Method and Description |
|---|---|
Location |
Location.add(Vector vec)
Adds the location by a vector.
|
Location |
Location.setDirection(Vector vector)
|
Arrow |
World.spawnArrow(Location location,
Vector direction,
float speed,
float spread)
|
<T extends Arrow> |
World.spawnArrow(Location location,
Vector direction,
float speed,
float spread,
Class<T> clazz)
Creates an arrow entity of the given class at the given
Location |
Location |
Location.subtract(Vector vec)
Subtracts the location by a vector.
|
| Modifier and Type | Method and Description |
|---|---|
Vector |
ConfigurationSection.getVector(String path)
Gets the requested Vector by path.
|
Vector |
MemorySection.getVector(String path) |
Vector |
ConfigurationSection.getVector(String path,
Vector def)
Gets the requested
Vector by path, returning a default value if
not found. |
Vector |
MemorySection.getVector(String path,
Vector def) |
| Modifier and Type | Method and Description |
|---|---|
Vector |
ConfigurationSection.getVector(String path,
Vector def)
Gets the requested
Vector by path, returning a default value if
not found. |
Vector |
MemorySection.getVector(String path,
Vector def) |
| Modifier and Type | Method and Description |
|---|---|
Vector |
Minecart.getDerailedVelocityMod()
Gets the derailed velocity modifier.
|
Vector |
Fireball.getDirection()
Retrieve the direction this fireball is heading toward
|
Vector |
Minecart.getFlyingVelocityMod()
Gets the flying velocity modifier.
|
Vector |
Entity.getVelocity()
Gets this entity's current velocity
|
Vector |
Vehicle.getVelocity()
Gets the vehicle's velocity.
|
| Modifier and Type | Method and Description |
|---|---|
void |
Minecart.setDerailedVelocityMod(Vector derailed)
Sets the derailed velocity modifier.
|
void |
Fireball.setDirection(Vector direction)
Fireballs fly straight and do not take setVelocity(...) well.
|
void |
Minecart.setFlyingVelocityMod(Vector flying)
Sets the flying velocity modifier.
|
void |
Entity.setVelocity(Vector velocity)
Sets this entity's velocity
|
void |
Vehicle.setVelocity(Vector vel)
Sets the vehicle's velocity.
|
| Modifier and Type | Method and Description |
|---|---|
Vector |
BlockDispenseEvent.getVelocity()
Gets the velocity.
|
| Modifier and Type | Method and Description |
|---|---|
void |
BlockDispenseEvent.setVelocity(Vector vel)
Sets the velocity of the item being dispensed.
|
| Constructor and Description |
|---|
BlockDispenseEvent(Block block,
ItemStack dispensed,
Vector velocity) |
| Modifier and Type | Method and Description |
|---|---|
Vector |
EntityPortalExitEvent.getAfter()
Gets a copy of the velocity that the entity will have after exiting the
portal.
|
Vector |
EntityPortalExitEvent.getBefore()
Gets a copy of the velocity that the entity has before entering the
portal.
|
| Modifier and Type | Method and Description |
|---|---|
void |
EntityPortalExitEvent.setAfter(Vector after)
Sets the velocity that the entity will have after exiting the portal.
|
| Constructor and Description |
|---|
EntityPortalExitEvent(Entity entity,
Location from,
Location to,
Vector before,
Vector after) |
| Modifier and Type | Method and Description |
|---|---|
Vector |
PlayerInteractAtEntityEvent.getClickedPosition() |
Vector |
PlayerVelocityEvent.getVelocity()
Gets the velocity vector that will be sent to the player
|
| Modifier and Type | Method and Description |
|---|---|
void |
PlayerVelocityEvent.setVelocity(Vector velocity)
Sets the velocity vector that will be sent to the player
|
| Constructor and Description |
|---|
PlayerInteractAtEntityEvent(Player who,
Entity clickedEntity,
Vector position) |
PlayerInteractAtEntityEvent(Player who,
Entity clickedEntity,
Vector position,
EquipmentSlot hand) |
PlayerVelocityEvent(Player player,
Vector velocity) |
| Modifier and Type | Method and Description |
|---|---|
<T extends Projectile> |
ProjectileSource.launchProjectile(Class<? extends T> projectile,
Vector velocity)
Launches a
Projectile from the ProjectileSource with an
initial velocity. |
| Modifier and Type | Class and Description |
|---|---|
class |
BlockVector
A vector with a hash function that floors the X, Y, Z components, a la
BlockVector in WorldEdit.
|
| Modifier and Type | Method and Description |
|---|---|
Vector |
Vector.add(Vector vec)
Adds a vector to this one
|
Vector |
Vector.clone()
Get a new vector.
|
Vector |
Vector.copy(Vector vec)
Copies another vector
|
Vector |
Vector.crossProduct(Vector o)
Calculates the cross product of this vector with another.
|
static Vector |
Vector.deserialize(Map<String,Object> args) |
Vector |
Vector.divide(Vector vec)
Divides the vector by another.
|
Vector |
Vector.getCrossProduct(Vector o)
Calculates the cross product of this vector with another without mutating
the original.
|
static Vector |
Vector.getMaximum(Vector v1,
Vector v2)
Gets the maximum components of two vectors.
|
Vector |
Vector.getMidpoint(Vector other)
Gets a new midpoint vector between this vector and another.
|
static Vector |
Vector.getMinimum(Vector v1,
Vector v2)
Gets the minimum components of two vectors.
|
static Vector |
Vector.getRandom()
Gets a random vector with components having a random value between 0
and 1.
|
Vector |
Vector.midpoint(Vector other)
Sets this vector to the midpoint between this vector and another.
|
Vector |
Vector.multiply(double m)
Performs scalar multiplication, multiplying all components with a
scalar.
|
Vector |
Vector.multiply(float m)
Performs scalar multiplication, multiplying all components with a
scalar.
|
Vector |
Vector.multiply(int m)
Performs scalar multiplication, multiplying all components with a
scalar.
|
Vector |
Vector.multiply(Vector vec)
Multiplies the vector by another.
|
Vector |
Vector.normalize()
Converts this vector to a unit vector (a vector with length of 1).
|
Vector |
Vector.setX(double x)
Set the X component.
|
Vector |
Vector.setX(float x)
Set the X component.
|
Vector |
Vector.setX(int x)
Set the X component.
|
Vector |
Vector.setY(double y)
Set the Y component.
|
Vector |
Vector.setY(float y)
Set the Y component.
|
Vector |
Vector.setY(int y)
Set the Y component.
|
Vector |
Vector.setZ(double z)
Set the Z component.
|
Vector |
Vector.setZ(float z)
Set the Z component.
|
Vector |
Vector.setZ(int z)
Set the Z component.
|
Vector |
Vector.subtract(Vector vec)
Subtracts a vector from this one.
|
Vector |
Vector.zero()
Zero this vector's components.
|
| Modifier and Type | Method and Description |
|---|---|
Vector |
Vector.add(Vector vec)
Adds a vector to this one
|
float |
Vector.angle(Vector other)
Gets the angle between this vector and another in radians.
|
Vector |
Vector.copy(Vector vec)
Copies another vector
|
Vector |
Vector.crossProduct(Vector o)
Calculates the cross product of this vector with another.
|
double |
Vector.distance(Vector o)
Get the distance between this vector and another.
|
double |
Vector.distanceSquared(Vector o)
Get the squared distance between this vector and another.
|
Vector |
Vector.divide(Vector vec)
Divides the vector by another.
|
double |
Vector.dot(Vector other)
Calculates the dot product of this vector with another.
|
Vector |
Vector.getCrossProduct(Vector o)
Calculates the cross product of this vector with another without mutating
the original.
|
static Vector |
Vector.getMaximum(Vector v1,
Vector v2)
Gets the maximum components of two vectors.
|
Vector |
Vector.getMidpoint(Vector other)
Gets a new midpoint vector between this vector and another.
|
static Vector |
Vector.getMinimum(Vector v1,
Vector v2)
Gets the minimum components of two vectors.
|
boolean |
Vector.isInAABB(Vector min,
Vector max)
Returns whether this vector is in an axis-aligned bounding box.
|
boolean |
Vector.isInSphere(Vector origin,
double radius)
Returns whether this vector is within a sphere.
|
Vector |
Vector.midpoint(Vector other)
Sets this vector to the midpoint between this vector and another.
|
Vector |
Vector.multiply(Vector vec)
Multiplies the vector by another.
|
Vector |
Vector.subtract(Vector vec)
Subtracts a vector from this one.
|
| Constructor and Description |
|---|
BlockIterator(World world,
Vector start,
Vector direction,
double yOffset,
int maxDistance)
Constructs the BlockIterator
|
BlockVector(Vector vec)
Construct the vector with another vector.
|
Copyright © 2021. All rights reserved.


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What is Lorem Ipsum?
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
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Thank you for visiting my page!
My name is Polina Nenchev and I am a Jr. Developer / QA Engineer from Portland, OR who was born and raised in an Eastern European Country. I moved to the United States 12 years ago. I have always been passionate about numbers, stats and how they impact people's lives. Previously, I was a case manager for the State of Oregon where I managed a highly secured DHS code system before I made the leap to become a creator.
I am constantly building, editing and re-formating programs to enrich lives. I am working on my family's businees website where I edit and post using WordPress Platform. I recently graduated from Epicodus where I focused on the Java/Android track where I gained skills such as intital creations of applications all the way to integration and unit testing. As a learning extraordinaire I am always on the lookout to improve my skills and gain some new ones. After Epicodus, I had the great opportunity to work for an amazing local Software Agency as a Technical QA Analyst where I started developing QA skills. I find myselft to look at the software and/or application for its performance, visual appearance and user's adaptivity. Due to my attention to details, passion for technology and desire to work with different teams, I am very thrilled at the QA role.
Some of my interests are my family and my development/QA career. I enjoy learnig new programming languages and QA testing platforms, going to meet ups, and developing personal projects in my free time. I like debugging and troubleshooting the applications. I am excited to QA new features added and bugs fixed. Taking the track Java/Javascript/Android made me more detailed-oriented and open more interests for me in this field. On the personal side, my family is my everything.
 "Loving mother and wife, passionate developer, and experimental cooker."
This project is for Week 3 Code Review for the Epicodus Intro to Programming class. This project is an exercise in HTML, CSS, Bootstrap, JavaScript, and jQuery. This project asks the user to enter a number greater than or equal to 1. When the number is submitted Ping Pong will count up to the number from 1 with the following exceptions:
This is a pizza application that allows the user to pick the size and toppings for the pizza and the application shows the final price of the pizza. This project is an exercise in HTML, CSS, Bootstrap, JavaScript, and jQuery.
This project will allow the user to select specific criteria which will then display a list of job openings that the user qualifies for. Criteria is geared towards Epicodus students and the job listings are gathered from the Portland Metro Area. To apply for the specific job, the application will allow the user to click on the actual link of the company hiring.
This was created as an Epicodus code review in Behavior Driven Development, web app development with Spark and Velocity, using objects within objects and categories, and solo programming.
A web application for a hair salon. The owner can add to a list of stylists, and for each stylist, add clients who see that stylist. The stylists work independently, so each client only belongs to a single stylist. This project is an exercise in Java, Spark, Junit, Velocity, Fluentlenium, Bootstrap, and Postgres.
This is a band app that has an index page which has buttons for adding band/venue. Once the band is added, the user will be able to add venues. The app also will allow the user to update and delete bands. This project is an exercise in Java, Spark, Junit, Velocity, Fluentlenium, Bootstrap, and Postgres.
A website where the user can enter a GitHub username into a form and submit it to see names and descriptions of that person's public repositories. This project is an exercise in JavaScript, jQuery, Gulp, Bower, CSS, and moment.js.
Angular2 Meal Tracker App. This application serves as a platform for the user to fill a form and add a meal, its description and calories for that particular chosen meal. The app also provides the user with ability to filter the meals by showing all, only healthy (meal < 300 calories) and unhealthy (meal > 300 calories); and edit them. This project is an exercise in Angular2 Javascript, Gulp, Bower, and TypeScript.
This application is designed to be A Message Board where the users can enter their questions and the public and/or another user will answer the question. It is build using Ember programming language, customer helpers, computed property and service called favorite-question.
Android Independent Project for Epicodus Android course called CoffeeShop. Users can find the nearest coffee shops by entering zip code. This project is an exercise in Java, Android Studio, ButterKnife, RecyclerView and Firebase.
 It was developed during my internship by me and three other member. This project is an assignment build in Java, Android Studio, Agile Methadology, Google Map Api, Nutrinionix Api. SQLite Database and Google Material Design guidelines.
This is an Epicodus project for practicing Android development concepts. Users can search for restaurants by zip code and add restaurants to their saved restaurants list. This project is an exercise in Java, Android Studio, ButterKnife, Yelp and Firebase.


Welcome to Jebediah’s Notebook!
This is a collection of Kerbal Space Program resources and guides. If you’re just starting out, likely you’ve figured out just how hard and unintuitive the game can be at first. Stuff under the “Resources” section is collected from around the web. Check out the entries under “Guides” if you’re looking for help learning how to be a successful Kerbalnaut. I’m creating a handful of useful tutorials, all in text with pictures. For more help, check out the super experienced players’ tutorials that I’ve linked from the “Resources” section. If you just wanted to see some neat pictures of the game, check out the “Galleries” page. Everything is still in early stages, so expect the content to change for the better in the coming months.


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Politics of Software Development and Implementation
There is an important political economy to software. The online journal First Monday has many articles that delve into this political economy, but I hope to outline some of these issues in subsequent posts on this site. For now, it is sufficient to say that software has a growing impact on and is directly and indirectly influenced by our every day lives, the economy and broader society.
Of course it is not just the user-end that is influence by politics. From conceptual framework to production version and updates, each part of its development is affected by the politics of those involved.
Legislation regulates “intellectual property” and copyright of the code, funding directs and/or limits its development. Hackers write code and have their own politics about sharing and community that influences the way the software is used. Similarly, many software developers are workers as well as volunteer and hobbyist hackers which can add an interesting conflict at times.
End users put software into practise to ends sometimes not envisioned by the creators and owners. This in turn can have an impact on how law makers regulate or talk about software.
Software is not neutral.
Just as in the production of art or building cities, software development lives in a dynamic ecosystem of history and politics that expresses itself with its own internal logic and accompanying contradictions. The end result can range from the useful to the inane, from the closed and secretive to the open and beautiful. It can help expand freedom for those that use it or be used to oppress.
As software and “information technology” become ever more integral to daily life, and its use more normalised and obscured, it becomes increasingly important to understand software’s political economy. Of course, there are undisputed masters in the domain of software politics – just as there are within any major component of society and the economy. However, it is the popular understanding and application of this analysis that interests me. The main question is how can workers become empowered both in and outside programming circles to shape this politics and advance society in a direction that is informed, enlightened, democratic and in the interests of those that work for fairness and progress.
If people are unaware of software’s inherent political nature then the implementation and framing of it can be very contradictory and alienating. I have seen these contradictions undermine major initiatives and, in the long run, undermine the interests of those the initiatives seek to support. It can also be incredibly expensive.
I argue that the political economy of software is even more important for those engaged in the struggle for social justice. Our organisations do not have the resources that governments and oligopoly corporations have. Social justice organisations also have a mission that is expressed through the actions they take. So, it is not only expensive in terms of money wasted but also in the waste caused when not building software with like-minded organisations and movements.
It is for this reason social justice organisations are doing themselves and the movement a disservice by not seriously considering Open Source and Free Software politics when it comes to decisions around the software they use.


The Grinch Reviewed by Christian Pyle Directed by Ron Howard Written by Jeffrey Price and Peter S. Seaman (based on the book by Dr. Seuss) Starring Jim Carrey, Taylor Momsen, Jeffrey Tambor, Christine Baranski, and the voice of Anthony Hopkins Grade: F
You know something, Christmas is not about presents. It's about over-hyped holiday films with lots of merchandising and product tie-ins. At least that would seem to be the message of "The Grinch," which has been advertised since last Christmas and whose logo is currently plastered all over stores. Hollywood expects us to ignore this cynical greed as the movie scolds us about losing the true spirit of the season.
 Down below all the Whos are preparing for their Whobilation, but the Grinch is determined to steal their Christmas.
The movie is, of course, a live-action version of the beloved children's book, which was previously adapted into a 1966 TV special by Looney Tunes animator Chuck Jones. It's rare that a big budget Hollywood release is shamed by a thirty-year-old half-hour cartoon, but that's the case when Jones' version is compared to Ron Howard's. The TV Grinch hit all the right notes: Boris Karloff's soft, deep narration; Thurl Ravenscroft singing "Mr. Grinch"; Max the dog weighed down by the gigantic antler tied to his head; and the Grinch's wide, toothless grin.
By contrast, the movie hits one sour note after another. First, there are the numerous bad choices that Jeffrey Price and Peter Seaman made in padding out the short book into a 105-minute movie. Young wide-eyed Cindy Lou Who (Taylor Momsen) is depressed about the misplaced priorities of her parents (Bill Irwin and Molly Shannon) during the holiday season. She begins to sympathize with the Grinch, who turns out to be surprisingly sympathetic. Cindy Lou discovers that the Grinch turned tearfully away from Whoville in grammar school when he was publicly humiliated while expressing his love for the prettiest girl in the class, Martha May Whovier (played as an adult by Christine Baranski).  The Grinch isn't even the villain here; that role is filled by the corrupt Mayor of Whoville (Jeffrey Tambor) who was the Grinch's rival for Martha's affection. Not only are the characters needlessly complex, but the once-simple plot becomes so convoluted that the actual theft of Christmas seems like an afterthought.
The casting choices aren't any better than the screenwriting decisions. Jim Carrey seems woefully miscast. While his face is so supple that the rubber make-up seems superfluous, Carrey brings nothing else to the role. His accent keeps changing; I assume he was shooting for Karloff, but he ends up sounding like a weird slurry of Richard Nixon, Sean Connery, and Cartman from "South Park." Not knowing what else to do during his many scenes alone in the Grinch's home, Carrey falls back on his stand-up comedy and clowns around Ace Ventura-style. Needless to say, his wise-cracking antics don't quite fit the character of the Grinch, who is an embittered loner filled with hate.
Little Taylor Momsen brings little to role of Cindy Lou except big eyes and a cute smile. She would have been fine if Cindy Lou was limited to her original purpose in the Seuss story (finding "Santa" in her living room stealing the tree). However, the expanded script makes Cindy as important as the Grinch, and Momsen is not up to the challenge.
Bottom Line: When you're stealing Christmas (movies), leave this one behind.
© 2000 Christian L. Pyle
Read my reviews and others at the Mad Review: http://www.madreview.com/main.html
The review above was posted to the
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Procedural File: tableConstants.inc
Source Location: /tableConstants.inc
Page Details:
This file contains all the table names with their unique constants to be used in the model classes, all model classes use these constants for table name, no hardcoding is done, if a table name changes in database, we just have to change the name in this file so that no script is affected.
Tags:
TABLES_PREFIX [line 16]
TABLE_ADMIN [line 43]
TABLE_ATTEND [line 73]
TABLE_COURSES [line 34]
TABLE_COURSE_MARK_ALLOC [line 55]
TABLE_MARKS [line 58]
TABLE_MARK_TYPE [line 52]
TABLE_MEMBER [line 31]
TABLE_MODULES [line 25]
TABLE_NOTICE [line 70]
TABLE_PERMISSIONS [line 19]
TABLE_POLL [line 61]
TABLE_POLL_ANS [line 67]
TABLE_POLL_OPTIONS [line 64]
TABLE_REGISTRATION [line 49]
TABLE_ROLES [line 22]
TABLE_ROLE_MODULE_PERMISSIONS [line 28]
TABLE_STUDENT [line 40]
TABLE_TEACHER [line 37]
TABLE_TEACHER_COURSE [line 46]
|


A simple and clean mock object framework.
All mock objects are an instance of Mock
Expect that method name is called, optionally with args or a blk, and returns retval.
@mock.expect(:meaning_of_life, 42) @mock.meaning_of_life # => 42 @mock.expect(:do_something_with, true, [some_obj, true]) @mock.do_something_with(some_obj, true) # => true @mock.expect(:do_something_else, true) do |a1, a2| a1 == "buggs" && a2 == :bunny end
args is compared to the expected args using case equality (ie, the '===' operator), allowing for less specific expectations.
@mock.expect(:uses_any_string, true, [String]) @mock.uses_any_string("foo") # => true @mock.verify # => true @mock.expect(:uses_one_string, true, ["foo"] @mock.uses_one_string("bar") # => true @mock.verify # => raises MockExpectationError
# File lib/minitest/mock.rb, line 49 def expect(name, retval, args=[], &blk) if block_given? raise ArgumentError, "args ignored when block given" unless args.empty? @expected_calls[name] << { :retval => retval, :block => blk } else raise ArgumentError, "args must be an array" unless Array === args @expected_calls[name] << { :retval => retval, :args => args } end self end
Verify that all methods were called as expected. Raises MockExpectationError if the mock object was not called as expected.
# File lib/minitest/mock.rb, line 74 def verify @expected_calls.each do |name, calls| calls.each do |expected| msg1 = "expected #{__call name, expected}" msg2 = "#{msg1}, got [#{__call name, @actual_calls[name]}]" raise MockExpectationError, msg2 if @actual_calls.has_key?(name) and not @actual_calls[name].include?(expected) raise MockExpectationError, msg1 unless @actual_calls.has_key?(name) and @actual_calls[name].include?(expected) end end true end
Generated with the Darkfish Rdoc Generator 2.


Mengqi Peng, Jun Xing, Li-Yi Wei
SIGGRAPH 2018
We propose an interactive 3D sculpting system that can analyze what users have done in the past and predict what they would do in the future, to reduce input workload and enhance output quality.


File
abstract class File (View source)
Provide functionality to access files and file properties.
Properties
| static FileInfo[] | $mocks | Internal. |
Methods
static
removeOverride(string $filename)
Remove mock of a given file.
static DateTimeInterface|null
time(string $file, string $timeFunc = 'created')
Get the file time.
static bool
exists(string $file)
Does $file exist?
Details
at line 43
static
removeOverride(string $filename)
Remove mock of a given file.
at line 80
static DateTimeInterface|null
time(string $file, string $timeFunc = 'created')
Get the file time.
at line 110
static bool
exists(string $file)
Does $file exist?


Space Race!
This app is connected to the Firebase project "
".
Your Cloud Firestore has no documents in
/ships/
.
Add mock data
...
speed:
accel:
weight:
handling:
braking:
special:
speed:
accel:
weight:
handling:
braking:
special:
Teleportation
Warp Speed
Time Shift
Mines
Cannons
Cloaking
Invulnerability
Defense Drones
Shields
Oil Slick
Add
Clear


{% extends 'base.html' %} {% import 'macros.html' as macro %} {% import 'bootstrap/wtf.html' as wtf %} {% block content %}
{{category_name}} pitches that have define people
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A Minimal Book Example
1
Abstract
2
Abstract
3
Introduction
4
Results
4.1
Estimation of carbon storage in live, dead, and soil pools
4.2
Net change in ecosystem carbon storage
4.3
Net change in carbon stocks
4.4
Carbon fluxes
4.5
Effects of LULC and disturbance
4.6
Projections of carbon change
4.7
Carbon emissions from wildfire in California
5
Discussion
6
Conclusion
7
Methods
7.1
LUCAS state-and-transition simulation model
7.1.1
State class map
7.1.2
Forest age
7.1.3
LULC and disturbance transitions
7.2
LUCAS carbon stock and flows
7.2.1
CBM-CFS3 reference simulations
7.2.2
Carbon flow rates: LUCAS Flow Pathways module
7.2.3
Validation
7.2.4
Spin-up of DOM pools
7.2.5
Mapping initial carbon stocks
7.3
Spatial flow multipliers
7.3.1
NPP variability
8
Introduction
9
Results
9.1
Estimation of carbon storage in live, dead, and soil pools
9.2
Net change in ecosystem carbon storage
9.3
Net change in carbon stocks
9.4
Carbon fluxes
9.5
Effects of LULC and disturbance
9.6
Projections of carbon change
9.7
Carbon emissions from wildfire in California
10
Discussion
11
Conclusion
12
Methods
12.1
LUCAS state-and-transition simulation model
12.1.1
State class map
12.1.2
Forest age
12.1.3
LULC and disturbance transitions
12.2
LUCAS carbon stock and flows
12.2.1
CBM-CFS3 reference simulations
12.2.2
Carbon flow rates: LUCAS Flow Pathways module
12.2.3
Validation
12.2.4
Spin-up of DOM pools
12.2.5
Mapping initial carbon stocks
12.3
Spatial flow multipliers
12.3.1
NPP variability
12.3.2
Decay and decomposition of DOM
12.4
Scenario simulations
References
13
Supplemental Material
13.1
Regional variability
Published with bookdown
Spatially explicit estimates of carbon stocks and fluxes for the United States: a new approach linking the LUCAS and CBM-CFS3 models
Chapter 2
Abstract
Background
Results
Conclusions
Keywords