Working on core plugins
The plugin package defines a set of interfaces that a plugin can implement to enable specific behaviors. - Parent can list its children and is presented as a directory in the Wash filesystem. - Readable can retrieve the entire contents of a file and makes it available to read via standard system calls to the filesystem. - Streamable can provide a stream of updates on an entry. That may be events, log entries, or new writes to a file. - Execable can execute an arbitrary command on a remote system. This is currently assumed to be a POSIX system, but in the future will be extended to differentiate between systems so we can use different commands as needed.
Each entry must implement plugin.Entry, which is a sealed interface that can only be satisfied by plugin.NewEntry.
Each entry that implements the Parent
interface must provide a schema for its children.
Use activity for all plugin-related logging. Each plugin method that Wash calls is passed a context.Context
object that is initialized with a Journal ID for use with activity.Record
and activity.Warnf
.
TIP: The transport package contains useful helpers for common methods of executing commands on a remote system. Currently it only supports SSH.
TIP: The volume package contains useful helpers that can enumerate a given volume’s directories and files.
TIP: If there will only ever be one instance of the entry type - such as a named directory that’s a container for a specific type of thing like EC2 instances - then use the IsSingleton() method when constructing the schema.
How to create a new core plugin
Create a new directory in plugin for the plugin.
Create an object that implements the Root interface. This would typically be in a root.go
file. See docker/root.go for an example.
NOTE: The Init
method initializes the Root object’s EntryBase
configuration and any credentials.
Extending the plugin
Each entry in the plugin’s hierarchy should be a new type. This pattern’s adopted by the existing core plugins (e.g. ec2Instance in AWS; container in Docker). It is meant to make your plugin modular and easier to maintain.
- Entries with children (“directories”) should implement the
Parent
interface. - Entries with content should implement
Readable
. - Log-type entries should implement
Streamable
to expose a stream of new data. - Entries that execute commands should implement the
Execable
interface.
TIP: The volume.FS helper can be used to expose an Execable
entry’s filesystem. It mounts the entire filesystem, and supports a configurable search depth; set it low if Exec
operations for your plugin are fast, high if they’re slow so that more of the filesystem is discovered in each batch.


The best reference to upgrade or getting started are Docs and Demo example.
auth.endpoints
into
auth.strategies.local.endpoints
:
$auth.loginWith(provider[,options])
is available.
The $auth.user
and $auth.loggedIn
reactive
properties are the recommended way to access user info.
For low-level state you can use $auth.$storage
.
Token can be retrieved using $auth.getToken(provider)
.
If you have any plugin that needs extending $auth
you have to
pass it into auth.plugins[]
option instead of top level
plugins[]
inside nuxt.config.js
.
Please refer to the new docs.
4.x is a new rewrite of Auth module. This release introduces some new features but also includes breaking changes with both usage and options, this guide will allow you to easily upgrade from 3.x to 4.x
loggedIn
and
automatically redirects users on login and logout.
NOTE :
User will be redirected using login
and
home
from redirect
options
Any store actions should be replaced with new global
$auth
instance. The best reference is official Docs for new
usage.
If you were using promise acceptance to redirect users after login and logout like this:
// Login example
store
.dispatch("auth/login", {
fields: {
username: "your_username",
password: "your_password",
},
})
.then(() => this.$router.replace("/"));
// Logout example
store.dispatch("auth/logout").then(() => this.$router.replace("/login"));
Now you can do this:
// Login example
this.$auth.login({
data: {
username: "your_username",
password: "your_password",
},
});
// Logout example
this.$auth.logout();
auth
middleware now manages both authenticated and
unauthenticated user redirection
no-auth
middleware have been removed and
merged into auth
middleware
If you were using the following configuration in 3.x :
This is the corresponding configuration in 4.x :
If you were using the following configuration in 3.x :
This is the corresponding configuration in 4.x :
If you were using the following configuration in 3.x :
This is the corresponding configuration in 4.x :


Like Erol Ozan said Some beautiful paths can’t be discovered without getting lost
,so, let's take a look at their opinions about the city.
- A blogger said:
- Galati is a city in the region of Moldavia - eastern Romania - on the banks of the Danube. The country's largest shipyard on Danube is located here, which benefits from the good access Galati has to the Black Sea through the Danube Delta. The first mention of the city dates from 1445, and in 1789 it was burnt down during the Russian-Turkish War. A renowned peasant revolt took place in and around the city in 1907. In Bram Stoker's novel Dracula, Galati is the port at which Count Dracula disembarked his ship on his escape back to Transylvania.
- Galati has a 20th century Romanian Orthodox cathedral, St. George, and another fortified church, St. Mary (Sf. Precista), on the banks of the Danube, built in 1647. Legend has it that a tunnel was dug from the church and under the river. The city also has a botanical garden, several museums, the newly-restored Opera House, and a sculpture park of several kilometres along the banks of the Danube. The Galati TV Tower is a 150 metre tall telecommunication tower, built of concrete and open to the public, which offers a full view of the city.
- An anonymus person said:
- If you are looking for an affordable holiday destination and not far from home, you can consider Galați. Romania is a beautiful country, which is worth discovering, and the city on the Danube does not give up on this idea either. In Galați there are a lot of interesting tourist attractions, which it would be a shame to miss. Today, we are your guide for a weekend in the port city and we tell you what are the most important places to visit during your stay!
- The Navigation Palace was built in 1912, serving as the headquarters for various offices of river transport institutions. It is important to mention that the River Station is the first construction in Romania for which a reinforced concrete monolithic skeleton was used. You should also know that the location can be visited completely free of charge, so one more reason to put it on the list of tourist attractions to see!
- Discovering the streets of Galati, you will notice the influences of the Turkish invasion. They left their mark on the place that still preserves the ruins of some buildings erected by them between the 18th and 19th centuries. The Turkish Gate is, in fact, the old gate of an Inn, which in ancient times offered accommodation. Unfortunately, following an incident caused by the inattention of a worker in 1982, much of this monument was demolished. Thus, at present, only the Gate of the Inn remains standing, which is also in a rather advanced state of degradation.
<------------------- The Navigation Palace
The Turkish Gate ------------------------>


NETSTAT(8) Linux Programmer's Manual NETSTAT(8) NAME netstat - Print network connections, routing tables, interface statis‐ tics, masquerade connections, and multicast memberships SYNOPSIS netstat [address_family_options] [--tcp|-t] [--udp|-u] [--raw|-w] [--lis‐ tening|-l] [--all|-a] [--numeric|-n] [--numeric-hosts] [--numeric-ports] [--numeric-users] [--symbolic|-N] [--extend|-e[--extend|-e]] [--timers|-o] [--program|-p] [--verbose|-v] [--continuous|-c] netstat {--route|-r} [address_family_options] [--extend|-e[--extend|-e]] [--verbose|-v] [--numeric|-n] [--numeric-hosts] [--numeric-ports] [--numeric-users] [--continuous|-c] netstat {--interfaces|-i} [--all|-a] [--extend|-e[--extend|-e]] [--ver‐ bose|-v] [--program|-p] [--numeric|-n] [--numeric-hosts] [--numeric- ports] [--numeric-users] [--continuous|-c] netstat {--groups|-g} [--numeric|-n] [--numeric-hosts] [--numeric-ports] [--numeric-users] [--continuous|-c] netstat {--masquerade|-M} [--extend|-e] [--numeric|-n] [--numeric-hosts] [--numeric-ports] [--numeric-users] [--continuous|-c] netstat {--statistics|-s} [--tcp|-t] [--udp|-u] [--raw|-w] netstat {--version|-V} netstat {--help|-h} address_family_options: [-4] [-6] [--protocol={inet,unix,ipx,ax25,netrom,ddp}[,...]] [--unix|-x] [--inet|--ip] [--ax25] [--ipx] [--netrom] [--ddp] DESCRIPTION Netstat prints information about the Linux networking subsystem. The type of information printed is controlled by the first argument, as fol‐ lows: (none) By default, netstat displays a list of open sockets. If you don't spec‐ ify any address families, then the active sockets of all configured address families will be printed. --route , -r Display the kernel routing tables. See the description in route(8) for details. netstat -r and route -e produce the same output. --groups , -g Display multicast group membership information for IPv4 and IPv6. --interfaces, -i Display a table of all network interfaces. --masquerade , -M Display a list of masqueraded connections. --statistics , -s Display summary statistics for each protocol. OPTIONS --verbose , -v Tell the user what is going on by being verbose. Especially print some useful information about unconfigured address families. --wide , -W Do not truncate IP addresses by using output as wide as needed. This is optional for now to not break existing scripts. --numeric , -n Show numerical addresses instead of trying to determine symbolic host, port or user names. --numeric-hosts shows numerical host addresses but does not affect the resolution of port or user names. --numeric-ports shows numerical port numbers but does not affect the resolution of host or user names. --numeric-users shows numerical user IDs but does not affect the resolution of host or port names. --protocol=family , -A Specifies the address families (perhaps better described as low level protocols) for which connections are to be shown. family is a comma (',') separated list of address family keywords like inet, unix, ipx, ax25, netrom, and ddp. This has the same effect as using the --inet, --unix (-x), --ipx, --ax25, --netrom, and --ddp options. The address family inet includes raw, udp and tcp protocol sockets. -c, --continuous This will cause netstat to print the selected information every second continuously. -e, --extend Display additional information. Use this option twice for maximum detail. -o, --timers Include information related to networking timers. -p, --program Show the PID and name of the program to which each socket belongs. -l, --listening Show only listening sockets. (These are omitted by default.) -a, --all Show both listening and non-listening sockets. With the --interfaces option, show interfaces that are not up -F Print routing information from the FIB. (This is the default.) -C Print routing information from the route cache. OUTPUT Active Internet connections (TCP, UDP, raw) Proto The protocol (tcp, udp, raw) used by the socket. Recv-Q The count of bytes not copied by the user program connected to this socket. Send-Q The count of bytes not acknowledged by the remote host. Local Address Address and port number of the local end of the socket. Unless the --numeric (-n) option is specified, the socket address is resolved to its canonical host name (FQDN), and the port number is translated into the corresponding service name. Foreign Address Address and port number of the remote end of the socket. Analogous to "Local Address." State The state of the socket. Since there are no states in raw mode and usu‐ ally no states used in UDP, this column may be left blank. Normally this can be one of several values: ESTABLISHED The socket has an established connection. SYN_SENT The socket is actively attempting to establish a connection. SYN_RECV A connection request has been received from the network. FIN_WAIT1 The socket is closed, and the connection is shutting down. FIN_WAIT2 Connection is closed, and the socket is waiting for a shutdown from the remote end. TIME_WAIT The socket is waiting after close to handle packets still in the network. CLOSE The socket is not being used. CLOSE_WAIT The remote end has shut down, waiting for the socket to close. LAST_ACK The remote end has shut down, and the socket is closed. Waiting for acknowledgement. LISTEN The socket is listening for incoming connections. Such sockets are not included in the output unless you specify the --listening (-l) or --all (-a) option. CLOSING Both sockets are shut down but we still don't have all our data sent. UNKNOWN The state of the socket is unknown. User The username or the user id (UID) of the owner of the socket. PID/Program name Slash-separated pair of the process id (PID) and process name of the process that owns the socket. --program causes this column to be included. You will also need superuser privileges to see this informa‐ tion on sockets you don't own. This identification information is not yet available for IPX sockets. Timer (this needs to be written) Active UNIX domain Sockets Proto The protocol (usually unix) used by the socket. RefCnt The reference count (i.e. attached processes via this socket). Flags The flags displayed is SO_ACCEPTON (displayed as ACC), SO_WAITDATA (W) or SO_NOSPACE (N). SO_ACCECPTON is used on unconnected sockets if their corresponding processes are waiting for a connect request. The other flags are not of normal interest. Type There are several types of socket access: SOCK_DGRAM The socket is used in Datagram (connectionless) mode. SOCK_STREAM This is a stream (connection) socket. SOCK_RAW The socket is used as a raw socket. SOCK_RDM This one serves reliably-delivered messages. SOCK_SEQPACKET This is a sequential packet socket. SOCK_PACKET Raw interface access socket. UNKNOWN Who ever knows what the future will bring us - just fill in here :-) State This field will contain one of the following Keywords: FREE The socket is not allocated LISTENING The socket is listening for a connection request. Such sockets are only included in the output if you specify the --listening (-l) or --all (-a) option. CONNECTING The socket is about to establish a connection. CONNECTED The socket is connected. DISCONNECTING The socket is disconnecting. (empty) The socket is not connected to another one. UNKNOWN This state should never happen. PID/Program name Process ID (PID) and process name of the process that has the socket open. More info available in Active Internet connections section written above. Path This is the path name as which the corresponding processes attached to the socket. Active IPX sockets (this needs to be done by somebody who knows it) Active NET/ROM sockets (this needs to be done by somebody who knows it) Active AX.25 sockets (this needs to be done by somebody who knows it) NOTES Starting with Linux release 2.2 netstat -i does not show interface sta‐ tistics for alias interfaces. To get per alias interface counters you need to setup explicit rules using the ipchains(8) command. FILES /etc/services -- The services translation file /proc -- Mount point for the proc filesystem, which gives access to ker‐ nel status information via the following files. /proc/net/dev -- device information /proc/net/raw -- raw socket information /proc/net/tcp -- TCP socket information /proc/net/udp -- UDP socket information /proc/net/igmp -- IGMP multicast information /proc/net/unix -- Unix domain socket information /proc/net/ipx -- IPX socket information /proc/net/ax25 -- AX25 socket information /proc/net/appletalk -- DDP (appletalk) socket information /proc/net/nr -- NET/ROM socket information /proc/net/route -- IP routing information /proc/net/ax25_route -- AX25 routing information /proc/net/ipx_route -- IPX routing information /proc/net/nr_nodes -- NET/ROM nodelist /proc/net/nr_neigh -- NET/ROM neighbours /proc/net/ip_masquerade -- masqueraded connections /proc/net/snmp -- statistics SEE ALSO route(8), ifconfig(8), ipchains(8), iptables(8), proc(5) BUGS Occasionally strange information may appear if a socket changes as it is viewed. This is unlikely to occur. AUTHORS The netstat user interface was written by Fred Baumgarten<EMAIL_ADDRESS>the man page basically by Matt Welsh<EMAIL_ADDRESS>It was updated by Alan Cox<EMAIL_ADDRESS>but could do with a bit more work. It was updated again by Tuan Hoang<EMAIL_ADDRESS>The man page and the command included in the net-tools package is totally rewritten by Bernd Eckenfels<EMAIL_ADDRESS>net-tools 2008-11-16 NETSTAT(8)


Converting images to cross-stitch patterns
We are using Node.js , Chromium , and Electron .
Select Source File
Choose a file
Generate Image
Generate Pattern
Settings:
Select Output Location
Choose a folder
Page edge margin
Page top margin
Box Size
Images controls
Max Width
Max Height
Color Mode
Full Color
Black and White
Monochrome pattern controls
Break point (color index to break as dark vs light)
Fill Opacity
Full color pattern controls
Color Count
Dark color
Light color
Grid line color
Messages


Kiwi.js Example
Dependencies
External JavaScript files (not including Kiwijs) that this example requires in-order to function.
Source Code


Given a string S and a string T, count the number of distinct subsequences of S which equals T.
A subsequence of a string is a new string which is formed from the original string by deleting some (can be none) of the characters without disturbing the relative positions of the remaining characters. (ie, "ACE"
is a subsequence of "ABCDE"
while "AEC"
is not).
Example 1:
Input: S = "rabbbit", T = "rabbit"
Output: 3
Explanation:
As shown below, there are 3 ways you can generate "rabbit" from S.
(The caret symbol ^ means the chosen letters)
rabbbit
^^^^ ^^
rabbbit
^^ ^^^^
rabbbit
^^^ ^^^
Example 2:
Input: S = "babgbag", T = "bag"
Output: 5
Explanation:
As shown below, there are 5 ways you can generate "bag" from S.
(The caret symbol ^ means the chosen letters)
babgbag
^^ ^
babgbag
^^ ^
babgbag
^ ^^
babgbag
^ ^^
babgbag
^^^
Define f(i, j)
to be the number of ways that generate T[0...j)
from S[0...i)
.
For f(i, j)
you can always skip S[i-1]
, but can only take it when S[i-1] === T[j-1]
.
f(0, j) = 0, j > 0 // nothing to delete
f(i, 0) = 1 // delete all
f(i, j) = f(i-1, j) + (S[i-1] === T[j-1] ? f(i-1, j-1) : 0)
Dynamic array can be used.
/**
* @param {string} s
* @param {string} t
* @return {number}
*/
var numDistinct = function(s, t) {
const lens = s.length
const lent = t.length
const dp = new Array(lent + 1).fill(0)
dp[0] = 1
for (let i = 1; i <= lens; i++) {
for (let j = lent; j >= 1; j--) {
if (s[i-1] === t[j-1]) {
dp[j] += dp[j-1]
}
}
}
return dp[lent]
};
Template generated via Leetmark.


At the end of the Kuse, the jiutai singing for the spirit of Lady Yūgao starts to recite the very first poem that Prince Genji wrote to her, but as if taken by emotions, as if poetic words could not fully express her deepest feelings anymore, she interrupts the recitation, and begins to dance.
The elegant Jonomai dance closely interweaves choreography with music. It is composed of five sections, which can be accessed by clicking on their names below:
The form of the Jonomai is cyclical because it is primarily articulated through the nohkan’s repeated patterns. They are identified in the score below the video with the following legend: Chū – C, Kan – K, Kan no Chū – KC, Ryo – R, Oroshi – Or and Dan – D.
While a dance-to-text shōdan is structured around salient mimetic kata, an instrumental dance is not. Instead, particular structural kata paired with vocal calls of the percussion play a specific formal function. For instance, kata involving the fan, often accompanied by sleeve motion, are used to anticipate the beginning of a section. Having performed the Jo and Kakari with a closed fan, the shite announces the imminent beginning of the First dan by . After having brought it in front of his face for a Raised fan kata, the dancer brings it down to waist-level, where it is commonly held. Then, a signals the upcoming beginning of the Second dan. Lastly, a announces the coming of the Third dan. While these kata anticipate an upcoming dan, the actual beginning of each dan is in fact marked by the extended kakegoe 'iya', which within the congruent sections are reserved exclusively for this purpose. Finally, the shite signals the dance's closing phase by and Renesting of the Fan to standard hold.
While arm motions involving the fan and sleeves and specific kakegoe announce the beginning of a section, foot motion paired with a percussion pattern articulate the sections' closing. This is done by stamping, followed by the ōtsuzumi’s six consecutive strokes shikake pattern. For example, the shite concluded the kakari by performing a followed by shikake. The closing of the and dan introduce variations on the stamping and a shikake sequence.
The very end of the Jonomai is also signaled with a kata and tempo change. The shite concludes the dance by performing a Raised Fan kata. Commonly performed as he sings the ageha solo line in the Kuse, it can however appear anytime. By performing the Raised Fan kata at the conclusion of the dance, the shite who has been silent throughout the Jonomai, is setting up an expectation for chant. The transition is further underlined by a sudden change of tempo. Controlled by the percussionists, the tempo gradually and steadily accelerates throughout the Third dan to reach the dance’s fastest speed at its penultimate honji. Then, it slows down in preparation for the nohkan’s conclusive and slow tome pattern, which in Hashitomi’s case, with the beginning of the next shōdan, the Waka.
The differences in the use of stage-space also help articulate the dance’s five-section structure. The Jo takes place exclusively on Square 1. The kakari and the Third dan see the shite dancing across the whole stage, whereas stage-space use in the First and Second dan is rather limited.
The use of the stage-space in the kakari is also noteworthy. The nohkan player introduces its core sequence of patterns called Ji, which he repeats four times, while the shite opens the stage-space. Holding a closed fan in his right hand, the shite first traverses the right lateral over the first Ji —Squares 1 to 3— then the front stage over the second one— Squares 3 to 5— and finally the left-right transversal over the last two Ji —Squares 5 to 1. This trajectory does not only open the stage-space, it also creates a spatial wave of tension-release. Backstage positions such as Square 1 and 8, further from the audience, are essentially positions of released tension. They are often used as starting and closing positions for a dance and its various sections. On the other hand, frontstage positions such as Square 3 and 4 and center-stage Square 9, closer to the audience, are positions of strength. Therefore, the motion from Square 1 to 3 is building momentum, bringing the shite from a position of released tension in Square 1 to the front in Square 3. The motion from Square 3 to 5 maintains momentum since the dancer remains in the stage’s forefront. Finally, the motion from Square 5 to 1 releases tension, taking the shite from frontstage to backstage.
The kakari’s choreography exemplifies the overall modularity of Noh. The same stage-space use can be seen in both instrumental dances featured on this website: the kakari of this slow and elegant Jonomai, and the first section of the dynamic and virile Maibataraki dance in Kokaji.
Another intermedia pointer in the Jonomai is the oroshi pattern. It is recognizable aurally as it is a two-honji-long slow-down, during which the shite moves to a quieter stage position and stops. For instance, in the First dan’s oroshi, he takes to move from the dynamic Square 3 to the weaker Square 2. In the Second dan’s oroshi , the shite performs a move by taking Seven Steps Back from the strong Square 9 to the quieter Square 6.


Linux Samba
I set my log files to include protocol versions:
log file = /var/log/samba/log_%m_%a_%R
>From the man pages:
%m - netbios name
%a - machine architecture (note that MacOSX10.8 sometimes reports
"Samba", sometimes "OSX", 10.9 and 10.10 report "Vista")
%R - protocol level
Which results in logs like these:
log_wend-wiretap01_Samba_NT1
log_wend-wiretap01_Samba_UNKNOWN
log_wend-wiretap01_UNKNOWN_UNKNOWN
log_wend-wws98673_Vista_SMB2_10
log_wend-wws98741_Vista_SMB2_10
log_wend-wws98748_Vista_SMB2_10
log_workstation_CIFSFS_NT1
log_workstation_Vista_SMB2_10
log_workstation_Vista_SMB3_00
Often you'll see the same machine trying multiple protocols out, but
eventually the non-zero logs show a share connection.


OLGA ROZHDESTVINA
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Apple Pay is easy to set up and gives your customers a simple and secure way to pay and donate with the devices they use every day.
Merchants need a credit card setup on PayEngine in order to use Apple Pay. For credit card setup, please check the supported documentation → https://easycontract.concardis.com/p/user/register
In order to start accepting Apple Pay payments, each merchant must go through our onboarding process. Please check the page - Merchant onboarding for Apple Pay for further details
Follow the link in order to get more details about how to setup Apple Pay for the web.


| Modifier and Type | Field and Description |
|---|---|
DrillBuf |
DrillBuf.TransferResult.buffer
The newly created buffer associated with the target allocator.
|
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
DrillBuf.capacity(int newCapacity) |
DrillBuf |
DrillBuf.duplicate() |
DrillBuf |
DrillBuf.reallocIfNeeded(int size) |
DrillBuf |
DrillBuf.retain(BufferAllocator target)
Create a new DrillBuf that is associated with an alternative allocator for
the purposes of memory ownership and accounting.
|
DrillBuf |
DrillBuf.slice(int index,
int length) |
| Modifier and Type | Method and Description |
|---|---|
Map<org.apache.calcite.util.Pair<Integer,com.sun.codemodel.JVar>,org.apache.drill.shaded.guava.com.google.common.base.Function<DrillBuf,? extends ValueHolder>> |
ClassGenerator.getConstantVars() |
| Modifier and Type | Method and Description |
|---|---|
org.apache.calcite.util.Pair<Integer,com.sun.codemodel.JVar> |
ClassGenerator.declareClassConstField(String prefix,
com.sun.codemodel.JType t,
org.apache.drill.shaded.guava.com.google.common.base.Function<DrillBuf,? extends ValueHolder> function) |
org.apache.calcite.util.Pair<Integer,com.sun.codemodel.JVar> |
ClassGenerator.declareClassConstField(String prefix,
com.sun.codemodel.JType t,
com.sun.codemodel.JExpression init,
org.apache.drill.shaded.guava.com.google.common.base.Function<DrillBuf,? extends ValueHolder> function)
Declare a constant field for the class.
|
| Modifier and Type | Method and Description |
|---|---|
static DrillBuf |
MappifyUtility.mappify(FieldReader reader,
org.apache.drill.exec.vector.complex.writer.BaseWriter.ComplexWriter writer,
DrillBuf buffer,
String caller) |
| Modifier and Type | Method and Description |
|---|---|
static int |
ByteFunctionHelpers.compare(DrillBuf left,
int lStart,
int lEnd,
byte[] right,
int rStart,
int rEnd)
Helper function to compare a set of bytes in DrillBuf to a ByteArray.
|
static int |
ByteFunctionHelpers.compare(DrillBuf left,
int lStart,
int lEnd,
DrillBuf right,
int rStart,
int rEnd)
Helper function to compare a set of bytes in two DrillBuffers.
|
static int |
ByteFunctionHelpers.equal(DrillBuf left,
int lStart,
int lEnd,
DrillBuf right,
int rStart,
int rEnd)
Helper function to check for equality of bytes in two DrillBuffers
|
static long |
StringFunctionHelpers.getDate(DrillBuf buf,
int start,
int end) |
static int |
XXHash.hash32(int start,
int end,
DrillBuf buffer,
int seed) |
static int |
MurmurHash3.hash32(int start,
int end,
DrillBuf buffer,
int seed) |
static int |
HashHelper.hash32(int start,
int end,
DrillBuf buffer,
int seed) |
static long |
XXHash.hash64(long start,
long end,
DrillBuf buffer,
long seed) |
static long |
MurmurHash3.hash64(long start,
long end,
DrillBuf buffer,
long seed) |
static long |
HashHelper.hash64(long start,
long end,
DrillBuf buffer,
long seed) |
static boolean |
StringFunctionHelpers.isReadableAsDate(DrillBuf buf,
int start,
int end)
Takes a string value, specified as a buffer with a start and end and
returns true if the value can be read as a date.
|
static DrillBuf |
MappifyUtility.mappify(FieldReader reader,
org.apache.drill.exec.vector.complex.writer.BaseWriter.ComplexWriter writer,
DrillBuf buffer,
String caller) |
int |
SqlPatternEndsWithMatcher.match(int start,
int end,
DrillBuf drillBuf) |
int |
SqlPatternComplexMatcher.match(int start,
int end,
DrillBuf drillBuf) |
int |
SqlPatternConstantMatcher.match(int start,
int end,
DrillBuf drillBuf) |
int |
SqlPatternStartsWithMatcher.match(int start,
int end,
DrillBuf drillBuf) |
int |
SqlPatternContainsMatcher.match(int start,
int end,
DrillBuf drillBuf) |
int |
SqlPatternMatcher.match(int start,
int end,
DrillBuf drillBuf) |
static int |
MurmurHash3.murmur3_32(int bStart,
int bEnd,
DrillBuf buffer,
int seed) |
static long |
MurmurHash3.murmur3_64(long bStart,
long bEnd,
DrillBuf buffer,
int seed) |
void |
CharSequenceWrapper.setBuffer(int start,
int end,
DrillBuf buffer)
Set the DrillBuf to adapt to a CharSequence.
|
static String |
StringFunctionHelpers.toStringFromUTF16(int start,
int end,
DrillBuf buffer) |
static String |
StringFunctionHelpers.toStringFromUTF8(int start,
int end,
DrillBuf buffer) |
static int |
StringFunctionHelpers.varTypesToInt(int start,
int end,
DrillBuf buffer) |
static long |
StringFunctionHelpers.varTypesToLong(int start,
int end,
DrillBuf buffer) |
| Constructor and Description |
|---|
CharSequenceWrapper(int start,
int end,
DrillBuf buffer) |
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
AllocationReservation.allocateBuffer()
Allocate a buffer whose size is the total of all the add()s made.
|
DrillBuf |
BaseAllocator.Reservation.allocateBuffer() |
DrillBuf |
BaseAllocator.buffer(int initialRequestSize) |
DrillBuf |
BufferAllocator.buffer(int size)
Allocate a new or reused buffer of the provided size.
|
DrillBuf |
BaseAllocator.buffer(int initialRequestSize,
BufferManager manager) |
DrillBuf |
BufferAllocator.buffer(int size,
BufferManager manager)
Allocate a new or reused buffer of the provided size.
|
DrillBuf |
BaseAllocator.getEmpty() |
DrillBuf |
BufferAllocator.getEmpty()
Get a reference to the empty buffer associated with this allocator.
|
DrillBuf |
AllocationManager.BufferLedger.newDrillBuf(int offset,
int length)
Create a new DrillBuf associated with this AllocationManager and memory.
|
DrillBuf |
AllocationManager.BufferLedger.newDrillBuf(int offset,
int length,
BufferManager manager)
Create a new DrillBuf associated with this AllocationManager and memory.
|
DrillBuf |
BaseAllocator.read(int length,
InputStream in) |
DrillBuf |
BufferAllocator.read(int length,
InputStream in)
Reads the specified number of bytes into a new Drillbuf.
|
| Modifier and Type | Method and Description |
|---|---|
static void |
BoundsChecking.ensureWritable(DrillBuf buf,
int minWritableBytes) |
static void |
BoundsChecking.lengthCheck(DrillBuf buf,
int start,
int length) |
static void |
BoundsChecking.rangeCheck(DrillBuf buf,
int start,
int end) |
static void |
BoundsChecking.rangeCheck(DrillBuf buf1,
int start1,
int end1,
DrillBuf buf2,
int start2,
int end2) |
void |
BaseAllocator.read(DrillBuf buf,
int length,
InputStream in) |
void |
BufferAllocator.read(DrillBuf buf,
int length,
InputStream in)
Read the contents of a DrillBuf from a stream.
|
void |
BaseAllocator.write(DrillBuf buf,
int length,
OutputStream out) |
void |
BufferAllocator.write(DrillBuf buf,
int length,
OutputStream out)
Write the contents of a DrillBuf to a stream.
|
void |
BaseAllocator.write(DrillBuf buf,
OutputStream out) |
void |
BufferAllocator.write(DrillBuf buf,
OutputStream out)
Write the contents of a DrillBuf to a stream.
|
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
BaseFragmentContext.getManagedBuffer() |
DrillBuf |
QueryContext.getManagedBuffer() |
DrillBuf |
FragmentContext.getManagedBuffer() |
DrillBuf |
UdfUtilities.getManagedBuffer()
For UDFs to allocate general purpose intermediate buffers we provide the
DrillBuf type as an injectable, which provides access to an off-heap
buffer that can be tracked by Drill and re-allocated as needed.
|
DrillBuf |
BufferManagerImpl.getManagedBuffer() |
DrillBuf |
OperatorContext.getManagedBuffer() |
DrillBuf |
FragmentContextInterface.getManagedBuffer() |
DrillBuf |
BaseOperatorContext.getManagedBuffer() |
DrillBuf |
BufferManager.getManagedBuffer()
Get a managed buffer of indeterminate size.
|
DrillBuf |
BaseFragmentContext.getManagedBuffer(int size) |
DrillBuf |
FragmentContext.getManagedBuffer(int size) |
DrillBuf |
BufferManagerImpl.getManagedBuffer(int size) |
DrillBuf |
OperatorContext.getManagedBuffer(int size) |
DrillBuf |
FragmentContextInterface.getManagedBuffer(int size) |
DrillBuf |
BaseOperatorContext.getManagedBuffer(int size) |
DrillBuf |
BufferManager.getManagedBuffer(int size)
Get a managed buffer of at least a certain size.
|
DrillBuf |
BaseFragmentContext.replace(DrillBuf old,
int newSize) |
DrillBuf |
FragmentContext.replace(DrillBuf old,
int newSize) |
DrillBuf |
BufferManagerImpl.replace(DrillBuf old,
int newSize) |
DrillBuf |
OperatorContext.replace(DrillBuf old,
int newSize) |
DrillBuf |
FragmentContextInterface.replace(DrillBuf old,
int newSize) |
DrillBuf |
BaseOperatorContext.replace(DrillBuf old,
int newSize) |
DrillBuf |
BufferManager.replace(DrillBuf old,
int newSize)
Replace an old buffer with a new version at least of the provided size.
|
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
BaseFragmentContext.replace(DrillBuf old,
int newSize) |
DrillBuf |
FragmentContext.replace(DrillBuf old,
int newSize) |
DrillBuf |
BufferManagerImpl.replace(DrillBuf old,
int newSize) |
DrillBuf |
OperatorContext.replace(DrillBuf old,
int newSize) |
DrillBuf |
FragmentContextInterface.replace(DrillBuf old,
int newSize) |
DrillBuf |
BaseOperatorContext.replace(DrillBuf old,
int newSize) |
DrillBuf |
BufferManager.replace(DrillBuf old,
int newSize)
Replace an old buffer with a new version at least of the provided size.
|
| Modifier and Type | Method and Description |
|---|---|
ValueHolder |
FragmentContextImpl.getConstantValueHolder(String value,
TypeProtos.MinorType type,
org.apache.drill.shaded.guava.com.google.common.base.Function<DrillBuf,ValueHolder> holderInitializer) |
ValueHolder |
QueryContext.getConstantValueHolder(String value,
TypeProtos.MinorType type,
org.apache.drill.shaded.guava.com.google.common.base.Function<DrillBuf,ValueHolder> holderInitializer) |
ValueHolder |
UdfUtilities.getConstantValueHolder(String value,
TypeProtos.MinorType type,
org.apache.drill.shaded.guava.com.google.common.base.Function<DrillBuf,ValueHolder> holderInitializer)
Works with value holders cache which holds constant value and its wrapper by type.
|
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
OutputMutator.getManagedBuffer()
Allows a scanner to request a set of managed block of memory.
|
DrillBuf |
ScanBatch.Mutator.getManagedBuffer() |
| Constructor and Description |
|---|
HivePartitionDescriptor(PlannerSettings settings,
DrillScanRel scanRel,
DrillBuf managedBuffer,
String defaultPartitionValue) |
| Modifier and Type | Field and Description |
|---|---|
static DrillBuf |
DeadBuf.DEAD_BUFFER |
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
RawFragmentBatch.getBody() |
DrillBuf[] |
WritableBatch.getBuffers() |
| Modifier and Type | Method and Description |
|---|---|
boolean |
RecordBatchLoader.load(UserBitShared.RecordBatchDef def,
DrillBuf buf)
Load a record batch from a single buffer.
|
| Constructor and Description |
|---|
RawFragmentBatch(BitData.FragmentRecordBatch header,
DrillBuf body,
AckSender sender) |
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
SelectionVector2.getBuffer() |
DrillBuf |
SelectionVector2.getBuffer(boolean clear) |
| Modifier and Type | Method and Description |
|---|---|
void |
SelectionVector2.setBuffer(DrillBuf bufferHandle) |
| Constructor and Description |
|---|
SelectionVector2(BufferAllocator allocator,
DrillBuf buf,
int count)
Create a selection vector with the given buffer.
|
SelectionVector2(BufferAllocator allocator,
DrillBuf buf,
int count,
int actualRecordCount) |
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
ControlTunnel.CustomFuture.getBuffer() |
| Modifier and Type | Method and Description |
|---|---|
Response |
CustomHandlerRegistry.handle(BitControl.CustomMessage message,
DrillBuf dBody) |
Controller.CustomResponse<RESPONSE> |
Controller.CustomMessageHandler.onMessage(REQUEST pBody,
DrillBuf dBody)
Handle an incoming message.
|
| Constructor and Description |
|---|
IncomingDataBatch(BitData.FragmentRecordBatch header,
DrillBuf body,
AckSender sender)
Create a new batch.
|
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
QueryDataBatch.getData() |
| Constructor and Description |
|---|
QueryDataBatch(UserBitShared.QueryData header,
DrillBuf data) |
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
TestOutputMutator.getManagedBuffer() |
| Modifier and Type | Field and Description |
|---|---|
protected DrillBuf |
BsonRecordReader.workBuf |
| Constructor and Description |
|---|
BsonRecordReader(DrillBuf managedBuf,
boolean allTextMode,
boolean readNumbersAsDouble) |
BsonRecordReader(DrillBuf managedBuf,
List<SchemaPath> columns,
boolean readNumbersAsDouble) |
| Modifier and Type | Field and Description |
|---|---|
protected DrillBuf |
BaseJsonProcessor.workBuf |
| Constructor and Description |
|---|
BaseJsonProcessor(DrillBuf workBuf,
boolean enableNanInf,
boolean enableEscapeAnyChar) |
BaseJsonReader(DrillBuf workBuf,
boolean enableNanInf,
boolean enableEscapeAnyChar,
boolean skipOuterList) |
CountingJsonReader(DrillBuf workBuf,
boolean enableNanInf,
boolean enableEscapeAnyChar) |
| Constructor and Description |
|---|
TextReader(TextParsingSettings settings,
org.apache.drill.exec.store.easy.text.reader.TextInput input,
org.apache.drill.exec.store.easy.text.reader.TextOutput output,
DrillBuf workBuf)
The CsvParser supports all settings provided by
TextParsingSettings ,
and requires this configuration to be properly initialized. |
| Modifier and Type | Method and Description |
|---|---|
static void |
HiveUtilities.populateVector(ValueVector vector,
DrillBuf managedBuffer,
Object val,
int start,
int end)
Populates vector with given value based on its type.
|
| Constructor and Description |
|---|
HiveValueWriterFactory(DrillBuf drillBuf,
org.apache.drill.exec.vector.complex.impl.SingleMapWriter rootWriter) |
| Constructor and Description |
|---|
HiveBinaryWriter(org.apache.hadoop.hive.serde2.objectinspector.primitive.BinaryObjectInspector inspector,
org.apache.drill.exec.vector.complex.writer.VarBinaryWriter writer,
DrillBuf drillBuf) |
HiveCharWriter(org.apache.hadoop.hive.serde2.objectinspector.primitive.HiveCharObjectInspector inspector,
org.apache.drill.exec.vector.complex.writer.VarCharWriter writer,
DrillBuf drillBuf) |
HiveStringWriter(org.apache.hadoop.hive.serde2.objectinspector.primitive.StringObjectInspector inspector,
org.apache.drill.exec.vector.complex.writer.VarCharWriter writer,
DrillBuf drillBuf) |
HiveVarCharWriter(org.apache.hadoop.hive.serde2.objectinspector.primitive.HiveVarcharObjectInspector inspector,
org.apache.drill.exec.vector.complex.writer.VarCharWriter writer,
DrillBuf drillBuf) |
| Constructor and Description |
|---|
HttpdLogRecord(DrillBuf managedBuffer,
String timeFormat) |
HttpdParser(org.apache.drill.exec.vector.complex.writer.BaseWriter.MapWriter mapWriter,
DrillBuf managedBuffer,
String logFormat,
String timestampFormat,
Map<String,String> fieldMapping) |
| Modifier and Type | Method and Description |
|---|---|
void |
MessageReader.init(DrillBuf buf,
List<SchemaPath> columns,
VectorContainerWriter writer,
ReadOptions readOptions) |
void |
JsonMessageReader.init(DrillBuf buf,
List<SchemaPath> columns,
VectorContainerWriter writer,
ReadOptions readOptions) |
| Modifier and Type | Field and Description |
|---|---|
protected DrillBuf |
OjaiValueWriter.buffer |
| Constructor and Description |
|---|
AllTextValueWriter(DrillBuf buffer) |
NumbersAsDoubleValueWriter(DrillBuf buffer) |
OjaiValueWriter(DrillBuf buffer) |
| Modifier and Type | Method and Description |
|---|---|
void |
ColumnDataReader.loadPage(DrillBuf target,
int pageLength) |
| Modifier and Type | Field and Description |
|---|---|
protected DrillBuf |
ColumnReader.vectorData |
| Modifier and Type | Method and Description |
|---|---|
static int |
ColumnReader.readIntLittleEndian(DrillBuf in,
int offset) |
abstract boolean |
VarLengthValuesColumn.setSafe(int index,
DrillBuf bytes,
int start,
int length)
Store a variable length entry if there is enough memory.
|
boolean |
VarLengthColumnReaders.VarDecimalColumn.setSafe(int index,
DrillBuf value,
int start,
int length) |
boolean |
VarLengthColumnReaders.NullableVarDecimalColumn.setSafe(int index,
DrillBuf value,
int start,
int length) |
boolean |
VarLengthColumnReaders.VarCharColumn.setSafe(int index,
DrillBuf bytebuf,
int start,
int length) |
boolean |
VarLengthColumnReaders.NullableVarCharColumn.setSafe(int index,
DrillBuf value,
int start,
int length) |
boolean |
VarLengthColumnReaders.VarBinaryColumn.setSafe(int index,
DrillBuf value,
int start,
int length) |
boolean |
VarLengthColumnReaders.NullableVarBinaryColumn.setSafe(int index,
DrillBuf value,
int start,
int length) |
abstract boolean |
NullableVarLengthValuesColumn.setSafe(int index,
DrillBuf value,
int start,
int length) |
| Modifier and Type | Field and Description |
|---|---|
DrillBuf |
RecordBatchOverflow.FieldOverflowDefinition.buffer
DrillBuf where the serialized data is stored
|
| Modifier and Type | Method and Description |
|---|---|
void |
Int64DecimalParquetValueWriter.writeValue(org.apache.parquet.io.api.RecordConsumer consumer,
DrillBuf buffer,
int start,
int end,
int precision) |
void |
Int32DecimalParquetValueWriter.writeValue(org.apache.parquet.io.api.RecordConsumer consumer,
DrillBuf buffer,
int start,
int end,
int precision) |
void |
BinaryDecimalParquetValueWriter.writeValue(org.apache.parquet.io.api.RecordConsumer consumer,
DrillBuf buffer,
int start,
int end,
int precision) |
abstract void |
DecimalValueWriter.writeValue(org.apache.parquet.io.api.RecordConsumer consumer,
DrillBuf buffer,
int start,
int end,
int precision)
Takes value from specified
DrillBuf buffer , converts it into required format
if needed and passes the value into specified RecordConsumer consumer . |
void |
FixedLenDecimalParquetValueWriter.writeValue(org.apache.parquet.io.api.RecordConsumer consumer,
DrillBuf buffer,
int start,
int end,
int precision) |
| Constructor and Description |
|---|
DrillFixedBinaryToVarbinaryConverter(org.apache.drill.exec.vector.complex.writer.VarBinaryWriter writer,
int length,
DrillBuf buf) |
DrillVarBinaryConverter(org.apache.drill.exec.vector.complex.writer.VarBinaryWriter writer,
DrillBuf buf) |
DrillVarCharConverter(org.apache.drill.exec.vector.complex.writer.VarCharWriter writer,
DrillBuf buf) |
DrillVarDecimalConverter(org.apache.drill.exec.vector.complex.writer.VarDecimalWriter writer,
int precision,
int scale,
DrillBuf buf) |
| Modifier and Type | Method and Description |
|---|---|
static PojoWriter |
PojoWriters.getWriter(Class<?> type,
String fieldName,
DrillBuf buffer)
Creates matching writer to the given field type.
|
| Constructor and Description |
|---|
EnumWriter(String fieldName,
DrillBuf managedBuf) |
StringWriter(String fieldName,
DrillBuf managedBuf) |
| Modifier and Type | Method and Description |
|---|---|
static void |
ByteBufUtil.checkBufferLength(DrillBuf buffer,
int start,
int end,
int requiredLen)
Verifies that the the space provided in the buffer is of specified size.
|
static int |
DecimalUtility.compareVarLenBytes(DrillBuf left,
int leftStart,
int leftEnd,
int leftScale,
byte[] right,
int rightScale,
boolean absCompare)
Compares two VarDecimal values, still stored in Drill buffer and byte array
|
static int |
DecimalUtility.compareVarLenBytes(DrillBuf left,
int leftStart,
int leftEnd,
int leftScale,
DrillBuf right,
int rightStart,
int rightEnd,
int rightScale,
boolean absCompare)
Compares two VarDecimal values, still stored in their respective Drill buffers
|
static BigDecimal |
DecimalUtility.getBigDecimalFromDense(DrillBuf data,
int startIndex,
int nDecimalDigits,
int scale,
int maxPrecision,
int width)
Returns a BigDecimal object from the dense decimal representation.
|
static BigDecimal |
DecimalUtility.getBigDecimalFromDrillBuf(DrillBuf bytebuf,
int start,
int length,
int scale)
Create a BigDecimal object using the data in the DrillBuf.
|
static BigDecimal |
DecimalUtility.getBigDecimalFromSparse(DrillBuf data,
int startIndex,
int nDecimalDigits,
int scale)
Create a BigDecimal object using the data in the DrillBuf.
|
static int |
ByteBufUtil.HadoopWritables.readVInt(DrillBuf buffer,
int start,
int end)
Reads a zero-compressed encoded integer from input stream and returns it.
|
static long |
ByteBufUtil.HadoopWritables.readVLong(DrillBuf buffer,
int start,
int end)
Reads a zero-compressed encoded long from input stream and returns it.
|
static void |
ByteBufUtil.HadoopWritables.writeVInt(DrillBuf buffer,
int start,
int end,
int i)
Serializes an integer to a binary stream with zero-compressed encoding.
|
static void |
ByteBufUtil.HadoopWritables.writeVLong(DrillBuf buffer,
int start,
int end,
long i)
Serializes a long to a binary stream with zero-compressed encoding.
|
| Modifier and Type | Field and Description |
|---|---|
protected DrillBuf |
BufferedDirectBufInputStream.internalBuffer
The internal buffer to keep data read from the underlying inputStream.
|
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
DirectBufInputStream.getNext(int bytes) |
| Modifier and Type | Method and Description |
|---|---|
int |
BufferedDirectBufInputStream.read(DrillBuf buf,
int off,
int len)
Has the same contract as
InputStream.read(byte[], int, int)
Except with DrillBuf |
int |
DirectBufInputStream.read(DrillBuf buf,
int off,
int len) |
| Modifier and Type | Field and Description |
|---|---|
protected DrillBuf |
BaseDataValueVector.data |
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
BaseDataValueVector.getBuffer() |
DrillBuf[] |
ValueVector.getBuffers(boolean clear)
Return the underlying buffers associated with this vector.
|
DrillBuf[] |
BaseDataValueVector.getBuffers(boolean clear) |
DrillBuf[] |
ObjectVector.getBuffers(boolean clear) |
DrillBuf[] |
ZeroVector.getBuffers(boolean clear) |
DrillBuf |
VarLenBulkEntry.getData() |
DrillBuf |
UntypedNullVector.reallocRaw(int newAllocationSize) |
abstract DrillBuf |
BaseDataValueVector.reallocRaw(int newAllocationSize)
Core of vector allocation.
|
DrillBuf |
BitVector.reallocRaw(int newAllocationSize) |
| Modifier and Type | Method and Description |
|---|---|
static org.apache.drill.exec.expr.holders.Decimal28SparseHolder |
ValueHolderHelper.getDecimal28Holder(DrillBuf buf,
BigDecimal bigDecimal) |
static org.apache.drill.exec.expr.holders.Decimal28SparseHolder |
ValueHolderHelper.getDecimal28Holder(DrillBuf buf,
String decimal) |
static org.apache.drill.exec.expr.holders.Decimal38SparseHolder |
ValueHolderHelper.getDecimal38Holder(DrillBuf buf,
BigDecimal bigDecimal) |
static org.apache.drill.exec.expr.holders.Decimal38SparseHolder |
ValueHolderHelper.getDecimal38Holder(DrillBuf buf,
String decimal) |
static org.apache.drill.exec.expr.holders.VarCharHolder |
ValueHolderHelper.getVarCharHolder(DrillBuf buf,
String s) |
static org.apache.drill.exec.expr.holders.VarDecimalHolder |
ValueHolderHelper.getVarDecimalHolder(DrillBuf buf,
BigDecimal bigDecimal) |
static org.apache.drill.exec.expr.holders.VarDecimalHolder |
ValueHolderHelper.getVarDecimalHolder(DrillBuf buf,
String decimal) |
void |
UntypedNullVector.load(UserBitShared.SerializedField metadata,
DrillBuf buffer) |
void |
ValueVector.load(UserBitShared.SerializedField metadata,
DrillBuf buffer)
Load the data provided in the buffer.
|
void |
BitVector.load(UserBitShared.SerializedField metadata,
DrillBuf buffer) |
void |
ObjectVector.load(UserBitShared.SerializedField metadata,
DrillBuf buffer) |
void |
ZeroVector.load(UserBitShared.SerializedField metadata,
DrillBuf buffer) |
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
BaseScalarReader.buffer() |
DrillBuf |
BaseScalarReader.BufferAccessor.buffer() |
| Modifier and Type | Field and Description |
|---|---|
protected DrillBuf |
BaseScalarWriter.drillBuf |
| Modifier and Type | Method and Description |
|---|---|
DrillBuf[] |
RepeatedListVector.getBuffers(boolean clear) |
DrillBuf[] |
ListVector.getBuffers(boolean clear) |
DrillBuf[] |
BaseRepeatedValueVector.getBuffers(boolean clear) |
DrillBuf[] |
AbstractMapVector.getBuffers(boolean clear) |
DrillBuf[] |
AbstractRepeatedMapVector.getBuffers(boolean clear) |
DrillBuf[] |
MapVector.getBuffers(boolean clear) |
| Modifier and Type | Method and Description |
|---|---|
void |
RepeatedListVector.load(UserBitShared.SerializedField metadata,
DrillBuf buf) |
void |
ListVector.load(UserBitShared.SerializedField metadata,
DrillBuf buffer) |
void |
BaseRepeatedValueVector.load(UserBitShared.SerializedField metadata,
DrillBuf buffer) |
void |
AbstractRepeatedMapVector.load(UserBitShared.SerializedField metadata,
DrillBuf buffer) |
void |
MapVector.load(UserBitShared.SerializedField metadata,
DrillBuf buf) |
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
JsonReader.getWorkBuf() |
| Modifier and Type | Method and Description |
|---|---|
static DrillBufInputStream |
DrillBufInputStream.getStream(int start,
int end,
DrillBuf buffer) |
void |
JsonReader.setSource(int start,
int end,
DrillBuf buf) |
| Constructor and Description |
|---|
Builder(DrillBuf managedBuf) |
| Modifier and Type | Method and Description |
|---|---|
DrillBuf |
BloomFilter.getContent() |
DrillBuf[] |
RuntimeFilterWritable.getData() |
| Modifier and Type | Method and Description |
|---|---|
void |
RuntimeFilterWritable.setData(DrillBuf... data) |
| Constructor and Description |
|---|
BloomFilter(DrillBuf byteBuf) |
RuntimeFilterWritable(BitData.RuntimeFilterBDef runtimeFilterBDef,
DrillBuf... data) |
| Modifier and Type | Method and Description |
|---|---|
ValueHolder |
OperatorFixture.MockFragmentContext.getConstantValueHolder(String value,
TypeProtos.MinorType type,
org.apache.drill.shaded.guava.com.google.common.base.Function<DrillBuf,ValueHolder> holderInitializer) |
Copyright © 2021 The Apache Software Foundation. All rights reserved.


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Deep Neural Network
This page gives you an overview of our deep neural network (DNN) APIs. Our goal is to simplify machine learning programming in common use cases. You will learn how to create a DNN regressor for regression and a DNN classifier for classification. The key difference between a regressor and a classifier is the output value. The regressor predicts a continuous value in the output layer, while the classifier predicts a discrete label.
The source code of both the DNN regressor and classifier is placed in include/dtc/ml/dnn.hpp
and
src/ml/dnn.cpp
, respectively.
Preliminaries
There are a great deal amount of DNN tutorials on the web. Some great resources are Deep Learning Course by Andrew Ng, Tensorflow machine learning Beginner Guide, and Machine Learning Mastery by Jason Brownlee. We will focus on how to use our API to create DNN estimators.
Input and Output Data Types
All DNN estimators in MLCraft use Eigen Library for matrix operations. You need to convert the data into an Eigen matrix in order to use our DNN estimators. You can find the tutorial about Eigen library here.
DNN Regressor
The best way to learn to use our DNN regressor is to go through an example.
We created two matrices,
Eigen::MatrixXf data(30, 3)
and Eigen::MatrixXf gold(30, 1)
,
and initialize them with random values.
The matrix data
has 30 samples each of three features and
the matrix gold
stores the observed value of each sample.
The goal is to train a DNN model to look at the a sample and predict its label value.
We create a DNN regressor with three layers:
- 1st layer: input layer with size equal to the feature size
- 2nd layer: hidden layer with ten neurons followed by sigmoid activation
- 3rd layer: output layer with one neuron to generate the measurement
Next, train the model by calling the method train
, which takes six arguments,
data
, gold
, num_epochs
, mini_batch_size
,
learning_rate
, and a lambda to call at the end of each epoch.
When training completes, call infer
to see the result of the model.
// Create a 30 x 3 matrix to store the samples
Eigen::MatrixXf data(30, 3);
// Create a 30 x 1 matrix to store the labels.
Eigen::MatrixXf gold(30, 1);
// For simplicity, we fill matrices with random values.
data = Eigen::MatrixXf::Random(30, 3);
gold = Eigen::MatrixXf::Random(30, 1);
// Declare a DNN regressor
dtc::ml::DnnRegressor dnn;
// Add layers into the regressor
dnn.layer<dtc::ml::FullyConnectedLayer>(data.cols(), 10, dtc::ml::Activation::SIGMOID);
dnn.layer<dtc::ml::FullyConnectedLayer>(10, gold.cols());
// Parameters to train the model
const int num_epochs {30};
const int mini_batch_size {15};
const float learning_rate {0.01f};
// Start training
dnn.train(data, gold, num_epochs, mini_batch_size, learning_rate, [&, i=0] (dtc::ml::DnnRegressor& dnn) mutable {
// In each epoch, we evaluate the regressor by computing the mean square error
printf("epoch %d: mse=%.4f\n", i++, (dnn.infer(data)-gold).array().square().sum() / (2.0f*data.rows()));
});
DNN Classifier
The best way to learn to use our DNN classifier is to go through an example. We demonstrate how to create a DNN classifier for digit classification on the famous MNIST dataset. The MNIST dataset contains a set of handwritten digit images. The goal is to train a DNN model to look at an image and predict which digit (0-9) it is.
Images and labels are stored in two matrices of type Eigen::MatrixXf
and Eigen::VectorXi
,
respectively.
We create a DNN classifier with three layers:
- 1st layer: input layer with size equal to the feature size (# pixels per image)
- 2nd layer: hidden layer with 30 neurons followed by ReLU activation
- 3rd layer: output layer with 10 neurons corresponding to 10 digits
Next, train the model by calling the method train
, which takes six arguments,
images
, labels
, num_epochs
, mini_batch_size
,
learning_rate
, and a lambda to call at the end of each epoch.
When training finishes, call infer
to see the result of the model.
// Load and store the images and labels in a matrix and a vector
Eigen::MatrixXf images = dtc::ml::read_mnist_image("train-images.idx3-ubyte") / 255.0;
Eigen::VectorXi labels = dtc::ml::read_mnist_label("train-labels.idx1-ubyte");
// Create a DNN classifier
dtc::ml::DnnClassifier dnn;
// Add layers into the classifier
dnn.layer<dtc::ml::FullyConnectedLayer>(images.cols(), 30, dtc::ml::Activation::RELU);
dnn.layer<dtc::ml::FullyConnectedLayer>(30, 10);
// Parameters to train the model
const int num_epochs {5};
const int mini_batch_size {64};
const float learning_rate {0.01f};
// Start training
dnn.train(images, labels, num_epochs, mini_batch_size, learning_rate, [&, i=0] (auto& dnn) mutable {
// predict the labels of images and count the number of correct predictions.
auto c = ((dnn.infer(images) - labels).array() == 0).count();
auto t = images.rows();
dtc::cout("[Accuracy at epoch ", i++, "]: ", c, "/", t, "=", c/static_cast(t), '\n').flush();
});
DNN Modifier
The classes DnnClassifier
and DnnRegressor
share a lot of similarities
in the network creation.
The main difference is the output layer and the loss function used to generate the prediction.
Here we summarize these class methods and their usages:
Layer
The layer
method allows you to add a layer into the DNN.
A DNN layer is a std::variant
of the following types:
Fully connected layer
// Add a 10x5 FullyConnectedLayer with RELU as the activation function dnn.layer<dtc::ml::FullyConnectedLayer>(10, 5, dtc::ml::Activation::RELU);
Dropout layer
// Add a DropOutLayer with keep probability = 0.5 dnn.layer<dtc::ml::DropOutLayer>(0.5);
Activation
The Activation
enum allows you to attach different activation functions to a layer.
We currently support the following activation types:
Sigmoid
// Add a 10x5 FullyConnectedLayer with SIGMOID as the activation function dnn.layer<dtc::ml::FullyConnectedLayer>(10, 5, dtc::ml::Activation::SIGMOID);
Tanh
// Add a 10x5 FullyConnectedLayer with TANH as the activation function dnn.layer<dtc::ml::FullyConnectedLayer>(10, 5, dtc::ml::Activation::TANH);
Rectified linear unit (ReLU)
// Add a 10x5 FullyConnectedLayer with ReLU as the activation function dnn.layer<dtc::ml::FullyConnectedLayer>(10, 5, dtc::ml::Activation::ReLU);
Leaky ReLU
// Add a FullyConnectedLayer with leaky ReLU as the activation function dnn.layer<dtc::ml::FullyConnectedLayer>(10, 5, dtc::ml::Activation::LEAKY_RELU);
Optimizer
The optimizer
method allows you to associate different optimization methods with a DNN estimator.
An optimizer is a std::variant
of the following types:
AdamOptimizer (default optimizer in DNN)
// Set the optimizer to AdamOptimizer dnn.optimizer<dtc::ml::AdamOptimizer>();
GradientDescentOptimizer
// Set the optimizer to GradientDescentOptimizer dnn.optimizer<dtc::ml::GradientDescentOptimizer>();
AdagradOptimizer
// Set the optimizer to AdagradOptimizer dnn.optimizer<dtc::ml::AdagradOptimizer>();
AdamaxOptimizer
// Set the optimizer to AdamaxOptimizer dnn.optimizer<dtc::ml::AdamaxOptimizer>();
RMSpropOptimizer
// Set the optimizer to RMSpropOptimizer dnn.optimizer<dtc::ml::RMSpropOptimizer>();
MomentumOptimizer
// Set the optimizer to MomentumOptimizer dnn.optimizer<dtc::ml::MomentumOptimizer>();
Loss
The loss
method allows you to set the loss function of a DNN estimator.
A loss function is a std::variant
of the following types:
MeanSquaredError (default in DNN regressor)
// MeanSquaredError dnn.loss<dtc::ml::MeanSquaredError>();
MeanAbsoluteError
// MeanAbsoluteError dnn.loss<dtc::ml::MeanAbsoluteError>();
SoftmaxCrossEntropy (default in DNN classifier)
// SoftmaxCrossEntropy dnn.loss<dtc::ml::SoftmaxCrossEntropy>();
HuberLoss
// HuberLoss dnn.loss<dtc::ml::HuberLoss>();
Training
Training a DNN regressor and a DNN classifier is different in label types.
Labels in a DNN regressor are stored in Eigen::MatrixXf
,
while labels in a DNN classifier are stored in Eigen::VectorXi
.
Each row corresponds to an example's label.
Because of problem nature, we allow multiple labels in a regressor.
For DNN classifier, each label is an integer of range 0
to N-1
, where N
is the number of neurons at the last layer.
The signature of DNN regressor's train
method is as follows:
train(Eigen::MatrixXf& features, Eigen::MatrixXf& label, size_t num_epochs, size_t mini_batch_size, float learning_rate, C&& callback)
The signature of DNN classifier's train
method in as follows:
train(Eigen::MatrixXf& features, Eigen::VectorXi& label, size_t num_epochs, size_t mini_batch_size, float learning_rate, C&& callback)
Both methods take a callable object that will be invoked at the end of each epoch. This is useful when you intend to present per-epoch information such as debugging and logging, or apply per-epoch update such as weight decay and early stop.
Inference
The difference of inference stage between a DNN regressor and a DNN classifier is the return value.
The return value from the DNN regressor is of type Eigen::MatrixXf
,
while the return value from the DNN classifier is of type Eigen::VectorXi
.
Each row corresponds to an estimated label of the example.
For DNN classifier, each label is an integer of range 0
to N-1
, where N
is the number of neurons at the last layer.
The signature of DNN regressor's infer
method is as follows:
Eigen::MatrixXf infer(Eigen::MatrixXf& features) const
The signature of DNN classifier's infer
method in as follows:
Eigen::VectorXi infer(Eigen::MatrixXf& features) const
Save/Load Model
The methods save
and load
allow you to export a model to a binary file
and restore an existing model.
// Save the model to the binary file "my_dnn_model"
dnn.save("my_dnn_model");
// Load an existing model from the binary file "my_dnn_model"
dnn.load("my_dnn_model");


Format: http://www.debian.org/doc/packaging-manuals/copyright-format/1.0
Upstream-Name: snowball
Upstream-Contact: Martin Porter
Source: http://snowball.tartarus.org/
Comment:
Upstream doesn't include a COPYING file, as described here:
http://snowball.tartarus.org/license.php
Copyright information obtained from the above link, and license text from
the LICENSE file in pystemmer:
http://svn.tartarus.org/snowball/trunk/pystemmer/LICENSE
Files: *
Copyright: 2001-2014, Dr Martin Porter and Richard Boulton
License: BSD-3-snowball
Files: debian/*
Copyright: 2010-2014, Stefano Rivera
License: BSD-3-snowball
License: BSD-3-snowball
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
3. Neither the name of the Snowball project nor the names of its contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
.


Account Status: Disabled
Disable My Samba Account
This operation will remove your samba user account from the system
This setting interface is disabled automatically on not supported platforms.
To access yor samba server, use
in Windows' File Explorer


After the artillery had finished bombarding the enemy's chancellery, the victorious soldiers celebrated by crunching on freshly harvested celery stalks as a symbol of their triumph. [G|D]
As soon as the cutlery was removed from the long banquet table, the lively group of revelers stumbled off to the distillery to continue the evening's foolery. [G|D]
The gallery was filled with awe as the jugglery performed by the master entertainer provoked laughter and spirited raillery. [G|D]
After the horses were fitted with the best saddlery, the jokers and pranksters continued their tomfoolery in the scullery while the cooks prepared the evening meal. [G|D]


Static Site Generators
- What They Do
- But... Static? As In, "I Did This 20 Years Ago!"
- But Still... Why Not Still Provide Dynamic Content?
- It Gets Even "Better."
- It Gets Even "Better."
- SSGs Allow Us To...
- Ok. What Do I Get With SSGs?
- OK, Sounds Groovy! What'S The Rub?
- <Cf_soapbox Evangelize="True" />
- .Soapbox:After { Content='Yes, Please!' }


Barons kvartāls
How to play: Use your arrow keys or swipe to move the tiles. When two tiles with the same picture touch, they merge into one!
BTC Bitcoin - 1G8XcDut4CQuXDTacKAv2KwesTEyU23qqn
LTC Litecoin - LWTR4mtSdPydPiNVyULE69M7ReFE5oU5Ja
ETH Ethereum - 0x5731abc66db0f5ed36c22384ada5be1a5629e326
This is a modification of the game created by Gabriele Cirulli.


26-March-2018 - 6.2.0
The PMD team is pleased to announce PMD 6.2.0.
This is a minor release.
Table Of Contents
New and noteworthy
Ecmascript (JavaScript)
The Rhino Library has been upgraded from version 1.7.7 to version <IP_ADDRESS>.
Detailed changes for changed in Rhino can be found:
Both are bugfixing releases.
Disable Incremental Analysis
Some time ago, we added support for Incremental Analysis. On PMD 6.0.0, we started to add warns when not using it, as we strongly believe it’s a great improvement to our user’s experience as analysis time is greatly reduced; and in the future we plan to have it enabled by default. However, we realize some scenarios don’t benefit from it (ie: CI jobs), and having the warning logged can be noisy and cause confusion.
To this end, we have added a new flag to allow you to explicitly disable incremental analysis. On CLI, this is
the new -no-cache
flag. On Ant, there is a noCache
attribute for the <pmd>
task.
On both scenarios, disabling the cache takes precedence over setting a cache location.
New Rules
-
The new Java rule
MissingOverride
(categorybestpractices
) detects overridden and implemented methods, which are not marked with the@Override
annotation. Annotating overridden methods with@Override
ensures at compile time that the method really overrides one, which helps refactoring and clarifies intent. -
The new Java rule
UnnecessaryAnnotationValueElement
(categorycodestyle
) detects annotations with a single element (value
) that explicitely names it. That is, doing@SuppressWarnings(value = "unchecked")
would be flagged in favor of@SuppressWarnings("unchecked")
. -
The new Java rule
ControlStatementBraces
(categorycodestyle
) enforces the presence of braces on control statements where they are optional. Properties allow to customize which statements are required to have braces. This rule replaces the now deprecated rulesWhileLoopMustUseBraces
,ForLoopMustUseBraces
,IfStmtMustUseBraces
, andIfElseStmtMustUseBraces
. More than covering the use cases of those rules, this rule also supportsdo ... while
statements andcase
labels ofswitch
statements (disabled by default).
Modified Rules
-
The Java rule
CommentContentRule
(java-documentation
) previously had the propertywordsAreRegex
. But this property never had been implemented and is removed now. -
The Java rule
UnusedPrivateField
(java-bestpractices
) now has a newignoredAnnotations
property that allows to configure annotations that imply the field should be ignored. By<EMAIL_ADDRESS><EMAIL_ADDRESS>are ignored. -
The Java rule
UnusedPrivateMethod
(java-bestpractices
) now has a newignoredAnnotations
property that allows to configure annotations that imply the method should be ignored. By<EMAIL_ADDRESS>is ignored. -
The Java rule
ImmutableField
(java-design
) now has a newignoredAnnotations
property that allows to configure annotations that imply the method should be ignored. By default severallombok
annotations are ignored -
The Java rule
SingularField
(java-design
) now has a newignoredAnnotations
property that allows to configure annotations that imply the method should be ignored. By default severallombok
annotations are ignored
Deprecated Rules
- The Java rules
WhileLoopMustUseBraces
,ForLoopMustUseBraces
,IfStmtMustUseBraces
, andIfElseStmtMustUseBraces
are deprecated. They will be replaced by the new ruleControlStatementBraces
, in the categorycodestyle
.
Fixed Issues
- all
- #928: [core] PMD build failure on Windows
- java-bestpracrtices
- java-codestyle
- java-design
- #832: [java] AvoidThrowingNullPointerException documentation suggestion
- #837: [java] CFGs of declared but not called lambdas are treated as parts of an enclosing method’s CFG
- #839: [java] SignatureDeclareThrowsException’s IgnoreJUnitCompletely property not honored for constructors
- #968: [java] UseUtilityClassRule reports false positive with lombok NoArgsConstructor
- documentation
API Changes
-
A new CLI switch,
-no-cache
, disables incremental analysis and the related suggestion. This overrides the-cache
option. The corresponding Ant task parameter isnoCache
. -
The static method
PMDParameters.transformParametersIntoConfiguration(PMDParameters)
is now deprecated, for removal in 7.0.0. The new instance methodPMDParameters.toConfiguration()
replaces it. -
The method
ASTConstructorDeclaration.getParameters()
has been deprecated in favor of the new methodgetFormalParameters()
. This method is available for bothASTConstructorDeclaration
andASTMethodDeclaration
.
External Contributions
- #941: [java] Use char notation to represent a character to improve performance - reudismam
- #943: [java] UnusedPrivateField false-positive with @FXML - BBG
- #951: [java] Add ignoredAnnotations property to unusedPrivateMethod rule - BBG
- #952: [java] SignatureDeclareThrowsException’s IgnoreJUnitCompletely property not honored for constructors - BBG
- #958: [java] Refactor how we ignore annotated elements in rules - BBG
- #965: [java] Make Varargs trigger ArrayIsStoredDirectly - Stephen
- #967: [doc] Issue 959: fixed broken link to XPath Rule Tutorial - Andrey Mochalov
- #969: [java] Issue 968 Add logic to handle lombok private constructors with utility classes - Kirk Clemens
- #970: [java] Fixed inefficient use of keySet iterator instead of entrySet iterator - Andrey Mochalov
- #984: [java] issue983 Add new UnnecessaryAnnotationValueElement rule - Kirk Clemens
- #989: [core] Update Contribute.md to close Issue #978 - Bolarinwa Saheed Olayemi
- #990: [java] Updated Doc on AvoidThrowingNullPointerException to close Issue #832 - Bolarinwa Saheed Olayemi
- #993: [core] Update writing_documentation.md to fix Issue #992 - Bolarinwa Saheed Olayemi


Generating a Password
When storing account/password information in CiphSafe, needing to remember a password is unnecessary. Hence, for additional security, CiphSafe can generate a random password for you.
To generate a random password:
- In the add or view window for an entry, click the Generate button next to the password entry
- To change the generated password's length, open CiphSafe's preferences, select the Security tab, and enter a number for the Generated password length
- To select between alphanumerics (A-Z, a-z, and 0-9) or those and other useful characters (dollar sign, slash, etc), open CiphSafe's preferences, select the Security tab, and check or uncheck the Use only alphanumerics for generated passwords checkbox as desired


During this Quick Start, we demonstrated best practices for a get-started data lake in AWS. Some customers have additional requirements to customize their data lake using their own data and analytics use cases.
47Lining is offering a free Redshift assessment to qualifying customers. Assessment topics include:
If you would like to learn more about our assessment offering, please reach out to our team via<EMAIL_ADDRESS>email or using the form below:
{% include 'error_box.html' %}47Lining delivers big data solutions and managed services to support your business. Focused on enterprise managed data lakes, data warehousing, predictive and real-time analytics, machine learning and IoT. 47Lining's experience accelerates your time to value in energy, life sciences, gaming, ad tech, retail analytics, financial services and media & entertainment. To learn more, please visit 47lining.com


Euro 2020 playoffs: Ireland face potential trip to Belfast or Bosnia in final
Mick McCarthy’s side will have to come through two away matches in space of a week
by Ruaidhrí CrokeIreland will meet Northern Ireland at Windsor Park in Belfast for a place at Euro 2020 should both sides come through their respective playoff semi-finals.
Mick McCarthy’s men will travel to meet Slovakia on March 26th in the playoff semi-finals and, if they win that, they will then head into another away clash to take on the winners of Bosnia and Herzegovina and Northern Ireland, after the draw was made in Nyon on Friday.
That final will take place on Tuesday, March 31st meaning Ireland will have to come through two away matches in the space of six days if they are to book a place at Euro 2020.
“I haven’t had much time to assess it as yet," said manager Mick McCarthy. “It’ll be a difficult game, no doubt. They were in Wales’ group, so I’m sure we’ll be able to get some intel, [some] info on them. We can get it anyway, from our analyst.
“[It will be a] tough game, people have been saying to me: 'You’ll be playing one of the poorer sides, one of the third teams in the group.'
“So I think it’s a level playing field, to be quite honest. With the set-up they’ve got, they’ve got the home tie.
“It’s par for the course isn’t it? It is but I’m not worried about it. If I start worrying about it now, what is the point? We’ll hopefully have two games to play and, if we win the first in Slovakia, we’ll fancy our chances of going anywhere and getting a result.”
Ireland already knew their playoff opponents before the draw but the venue for the Path B final still had to be decided, as well as the fixtures and venues for Path A and C.
The draw revealed that the winners of semi-final 1 in Path B will host the final meaning a potential do-or-die meeting in Belfast is on the cards.
With five teams in Path C, it was Romania who were bumped up to Path A where they will meet Iceland in their semi-final with Bulgaria taking on Hungary in the other tie.
In Path C Scotland will face a home semi-final against Israel at Hampden Park while Serbia will travel to take on Norway.
Should Scotland see off Israel and reach the final they will take on the winners of Norway and Serbia away from home.
In Path A the winners of Bulgaria and Hungary will host the final.

Final (March 31st): Bulgaria/Hungary v Iceland/Romania.
Path B
Semi-finals (March 26th): Bosnia and Herzegovina v Northern Ireland; Slovakia vs. Republic of Ireland.
Final (March 31st): Bosnia and Herzegovina/Northern Ireland v Slovakia/Ireland.
Path C
Semi-finals (March 26th): Scotland v Israel; Norway v Serbia.
Final (March 31st): Norway/Serbia v Scotland/Israel.
Path D
Semi-finals (March 26th): Georgia v Belarus; North Macedonia v Kosovo.
Final (March 31st): Georgia/Belarus v North Macedonia/Kosovo.


swip demos | swip SVN | report issue
jQuery plugin (ui.slider.js) used to create a slider/range slider UI.
Slider that outputs a range between 0 and 300.


WALL(1) User Commands WALL(1) NAME wall — write a message to users SYNOPSIS wall [-n] [-t TIMEOUT] [file] DESCRIPTION Wall displays the contents of file or, by default, its standard input, on the terminals of all currently logged in users. The command will cut over 79 character long lines to new lines. Short lines are white space padded to have 79 characters. The command will always put carriage return and new line at the end of each line. Only the super-user can write on the terminals of users who have chosen to deny messages or are using a program which automatically denies messages. Reading from a file is refused when the invoker is not superuser and the program is suid or sgid. OPTIONS -n, --nobanner Supress banner -t, --timeout TIMEOUT Write timeout to terminals in seconds. Argument must be posi‐ tive integer. Default value is 300 seconds, which is a legacy from time when people ran terminals over modem lines. -V, --version Output version and exit. -h, --help Output help and exit. SEE ALSO mesg(1), talk(1), write(1), shutdown(8) HISTORY A wall command appeared in Version 7 AT&T UNIX. AVAILABILITY The wall command is part of the util-linux package and is available from ftp://ftp.kernel.org/pub/linux/utils/util-linux/. util-linux April 2011 util-linux


Enter "From" and "To" city to search for carriers and use sort-by option to filter carriers as per shipping date, pick-up time, package size, and price.
Learn MoreOnce the payment is confirmed, shipping label will be generated which should be stuck to the parcel.
Learn MoreYou will get continuous updated via GoFaster App notification but you can also click on Track and enter your Waybil number to check the status.
Learn More


Issue: DEFVAR-DOCUMENTATIONReferences: DEFVAR, DEFPARAMETER, DEFCONSTANT (pp68-9)
Category: CLARIFICATION
Edit history: 30-Jun-87, Version 1 by Pitman
23-Nov-87, Version 2 by Masinter
Problem Description:
CLtL is not explicit about whether the documentation part of DEFVAR,
DEFPARAMETER, and DEFCONSTANT special forms is evaluated.
Proposal (DEFVAR-DOCUMENTATION:UNEVALUATED):
Clarify that the documentation part of DEFVAR, DEFPARAMETER, and DEFCONSTANT
special forms is not evaluated. That is, it must be a literal string, not a form
which evaluates to a string.
Examples:
(DEFVAR *MY-VARIABLE* (CONSTRUCT-INITIAL-VALUE) "A documentation string") ; OK
(DEFVAR *MY-VARIABLE* (CONSTRUCT-INITIAL-VALUE) GENERIC-DOCUMENTATION-STRING) ;
would be an error
Rationale:
To ensure portability, implementations must agree on whether or not this
position is evaluated. Specifying that the position is unevaluated is the
conservative thing to suggest, and consistent with the (unevaluated)
documentation strings in DEFUN, DEFSTRUCT.
Current Practice:
Some implementations evaluate this position. Others do not.
Cost to implementors:
Implementations that did not already check might usefully add a check in the
macro expansion for DEFVAR, DEFPARAMETER and DEFCONSTANT to assert that the
DOCUMENTATION, if supplied, was a string. The change is likely trivial.
Cost to users:
Code which uses other than a literal string is not portable, so no portable
programs will be broken. Some non-portable programs which rely on a particular
vendor's interpretation would have to be rewritten. Automatic tools to detect
most offending cases could trivially be constructed. (We know of no current
uses.)
Benefits:
Code portability would be improved. Some programming environment tools might
assume that documentation strings were determinable without evaluation.
Aesthetics:
Slight improvement; this implies consistent treatment for documentation strings
in all defining forms.
Discussion:
We think this is a good idea.


Whether you already have an account or you need to make one, this is where you will begin your adventures with the Tome.
All fields are required.
If you forgot your username or password, go here and we'll help you regain access to your account.
Your username must be between four and 20 characters long, and can only contain letters, numbers, '-' and '_'.
Your password must be between eight and 30 characters long.
Terms and conditions will go here when I write them... ew.


--- status: "ready" title: "Button with icon - with modifier ds-btn--icon-only-mobile" text: "Using the ds-btn--icon-only-mobile will make the button text hidden on small screens (< 768px viwports)" ---
ds-btn--icon-only-mobile


TagProject can be initialized as the follow ( this can change in future release to integrate it with Jquery ):
The result will be:
You can Pass tags list on init:
The color of a tag can be one choosed by the default colors list or you can set a custom color with colorBackground property .
TagProject with lists tags loaded on init:
Bind one of the follow class with backgroundCSS property
You can subscribe to some events and take some action to save the changes on server side or other.
Created by Oixan


Consider the following graph to prove that simple algorithm does not produce correct result always.
• Assume that the first DFS is started at the point. Then the order of increasing finishing times is after the first DFS.
• If the original graph is given to the second DFS and the vertices scanning is performed in the order of increasing finishing time(that is, is the starting point), then the algorithm gives a SCC (Strongly connected component) .
• But this is incorrect result. The graph consists two strongly connected components (SCCs) and.
Hence, the simpler algorithm may not always produce the correct results.
Consider a directed graph. In a directed graph, the strongly connected relationship is an equivalence relation.
• Suppose, denotes the transpose of component graph, then as per the equivalence relation, and will always have the same strongly connected component.
• Thus, and have the same vertex sets and therefore, the vertex sets of and are the same.
• This implies that their edge sets are the same.
• Since, is the transpose of the graph G, has the edges that are reverse of edges in the G.
• C is the strongly connected component of G if and only if it is strongly connected component of
• The key property of component graph is as follows:
Consider G is a directed graph and is a transpose of the directed graph G.
Assume, directed graph G has the strongly connected components. That is,also have the same connected components. Consider has vertices.
However, for vertices xCi and y Cj, if there is an edge (vi, vj) in , then there is an edge in the component graph .
Proving :
Consider the above key property to prove the given equation.
• If there is an edge (x, y) in G for xCi and y Cj, there is an edge (y, x) in .
• Since, for xCi and y Cj and (x, y) in G, there is an edge (vi, vj) in .
• Similarly, for xCi and y Cj and (y,x) in , there must be an edge (vj, vi) in the component graph of , .
• It is observed that the edges in the component graph of ,are reverse of edges in the component graph of G, .
• That is, by calculating transpose of , can be obtained.
Hence, for any directed graph , the transpose of the component graph G T is the same as the component graph of G . That is,
Algorithm to Compute the Component Graph of a Directed Graph
Considering directed graph for finding the algorithm which computes its connected components in time. For this it is first confirmed that all the components are connected by at least one edge between them.
Connected component or strongly connected component C of a graph G are those components in which for vertices set.
Such that for a pair of vertex (u, v) there would be the edges from u to v and v to u.
and.
It means in a connected component C for vertices u and v, u can be reached from v and vice versa. In more simple words it can be said there are edges in both the directions from u to v and from v to u.
Directed graph
Strongly connected graph
Procedures:
To create the algorithm the combination of two procedures can be used as:
One for creating the ordered set of all the vertices from different strongly connected components in the graph and the other one for getting the distinct strongly connected components from that set.
The output of the procedure should be considered to be the arrangement that yields the number of components that are strongly connected and having the vertex u for each u. Without losing its general form, suppose that is an integer that gets any value from the set.To calculate the time taken by the algorithm, considerdenotes the number of components that are strongly connected, containing vertex u, for itself. Construct the set T; it is a set retaining similar values many times.
The values that it contains are integers in the range from 1 to; the time taken in sorting these values is.
In the sorted multi-set T for each iteration an element x is found that is distinct from the one before it, add x to. It takes time in creating.
Complexity and explanation:
Construct the set having ordered pairs of edges of two different connected components
.
To construct this set intime by visiting or scanning all edges in the edge set E and searching theand for each edge. One thing to be noted about this set is that it would hold same objects more than once.
Construction of S, remove all elements that have the form. Alternatively, when S is constructed, do not put an element in S when an edge is to be found or which . Now, S has at most elements. In the repeating execution of sort the time taken in execution is. This is because the values being sorted are integers from 1 to.
In the set S, which is sorted already, each time an element is found that is not same as the element just before it adds elementto. It takes time to visit each and every element of S in this way, once S has been sorted.
That is why the total time that would be required to run the procedure would be equal to the sum of the time taken by each of the above procedures making it.
Algorithm:
The algorithm can be recapitulated as below: The procedure COMP-GRAPH finds graphs that are the components of the graph G. The procedure uses the procedures COUNTING-SORT and RADIX-SORT to sort the concerned sets.
Refer to the section 8.2 of the book for the earlier one and the section 8.3 for the later one.
COMP-GRAPH (G)
//store the contents of the set T to an array
1. Copy elements of multi-set T to an array A
//sort the array A and store the sorted result in array T.
// k is the number denoting total elements in the array.
2. COUNTING-SORT (A, T, k)
//make the set of ordered pairs of vertices from separate strongly connected
//components
3. for each edge
Construct a set S = (x, y)
Here
//remove the duplicates from S
4. for all
if
remove from S
//sort the result
5. RADIX-SORT (S, d)
6. add first content of S to ESCC
//insert distinct values in the resultant graph
7. for remaining
if
add p(x, y) to ESCC
The time taken in executing this algorithm would intuitively be equal to the time that has been taken in running the first part and the second part of the procedure. That is,
.
Create a graph from graph as follows:
• Replace the edges within each SCC by one simple, directed cycle.
• Identify the redundant edges between SCC’s and remove them.
• k edges within an SCC will have k vertices. Hence, a single directed cycle of k edges gives the k – vertex SCC with the fewest possible edges.
The algorithm to compute is as shown below:
1. First, identify all the strongly connected components SCC’s of G. It will take time using the SCC algorithm. Refer to section 22.5 in the textbook.
2. Next, construct the component graphusing the information from step 1. It will take . Refer to problem 22.5.5 in the textbook.
3. Initialize. It will take .
4. Consider each SCC of G. Let the vertices in the SCC be . The directed edges are added to . A simple directed cycle is formed by all the edges that include all vertices of the SCC. It will take .
5. For each edge (u,v) in the component graph , select any vertex x in u’s SCC and any vertex y in v’s SCC. Add the directed edge (x, y) to. It will take .
Hence, the total time taken is .
Semi connected graph: a graph G can be called as semi-connected graph when all pair of vertices are reachable from each other (that is vertex u is reachable from vertex v or vice versa).
Consider a graph having pair of vertices. Use following algorithm to check graph G is semi connected or not.
CHECK-SEMICONNECTED (G)
1. Call STRONGLY-CONNECTED-COMPONENTS (G)
2. After that, construct strongly connected components of G that is.
3. Topologically sort the graph component that is .
4. for to E
5. if edges does not exist from to
6. return False
7. return True
Refer section 22.5, of chapter 22 from the textbook for STRONGLY-CONNECTED-COMPONENTS (G).
Refer section 22.3, of chapter 22 from the textbook for DFS(G) and DFS-VISIT(G, u).
Explanation:
• At first call the function and then create strongly connected components of graph which are reachable from every vertex.
• After that, sort the components of graph.
• At last use for loop to check vertices form a linear chain by checking existence of edges from vertex i to i+1.
Proof of algorithm:
Strongly connected component (SCC): It is a maximal set of vertices of graph G, in which each pair of vertices are reachable from each other.
• In above CHECK-SEMICONNECTED algorithm strongly connected component are constructed.
• All vertices in graph maximal set of G are SCC. The vertices of SCC are reachable to each other. So after sorting when these vertices form a linear chain, then this graph is a semi-connected.
• The maximal set of G contains maximum vertices of G but does not contain all vertices. So there are some vertices which are not part of SCC.
Hence, it shows that the above algorithm is correct.
Time complexity:
• In CHECK-SEMICONNECTED algorithm a STRONGLY-CONNECTED-COMPONENTS function is called whose complexity is.
• One for loop is also used to traverse the all vertices which take time.
Hence, time complexity of CHECK-SEMICONNECTED algorithm is .