Translator: ExcaliburEX
The KMP algorithm (Knuth-Morris-Pratt algorithm) is a well-known string matching algorithm. It is very efficient, but it is a bit complicated.
Many readers complain that the KMP algorithm is incomprehensible. This is normal. When I think about the KMP algorithm explained in university textbooks, I don’t know how many future Knuth, Morris, Pratt will be dismissed in advance. Some excellent students use the process of pushing the KMP algorithm to help understand the algorithm. This is a way, but this article will help the reader understand the principle of the algorithm from a logical level. Between ten lines of code, KMP died.
First of all, at the beginning, this article uses pat
to represent the pattern string, the
length is M
, txt
represents the text string, and the length is N
. The KMP
algorithm is to find the substring pat
in txt
. If it exists, it returns the starting
index of this substring, otherwise it returns -1.
Why I think the KMP algorithm is a dynamic programming problem, I will explain it later. For dynamic programming,
it has been emphasized many times that the meaning of the dp
array must be clear, and the same problem
may have more than one way to define the meaning of the dp
array. Different definitions have different
solutions.
The KMP algorithm that readers have seen is that a wave of weird operations processes pat
to form a
one-dimensional array next
, and then passes through another wave of complex operations to match
txt
. Time complexity O (N), space complexity O (M). In fact, its next
array is equivalent
to dp
array, and the meaning of the elements is related to the prefix and suffix of pat
.
The decision rules are complicated and difficult to understand.This article uses a two-dimensional
dp
array (but the space complexity is still O (M)) to redefine the meaning of the elements, which
greatly reduces the code length and greatly improves the interpretability。
PS： The code of this article refers to “Algorithm 4”. The name of the array used in the original code is
DFA
(Determining the Finite State Machine). Because our public account has a series of dynamic
programming articles before, it will not say such a tall noun. Made a little modification to the code in the book
and inherited the name of the dp
array.
First, let’s briefly introduce the differences between the KMP algorithm and the brute-force algorithm, the difficulties, and the relationship with dynamic programming.
The brute-force string matching algorithm is easy to write. Take a look at its logic:
// Brute-force matching (pseudo-code)
int search(String pat, String txt) {
int M = pat.length;
int N = txt.length;
for (int i = 0; i <= N - M; i++) {
int j;
for (j = 0; j < M; j++) {
if (pat[j] != txt[i+j])
break;
}
// pat all matches
if (j == M) return i;
}
// pat substring does not exist in txt
return -1;
}
For brute force algorithms, if there are mismatched characters, both pointers of txt
and
pat
are rolled back, nested for loops, time complexity O(MN),
space complexity O(1). The main problem is that if there are many repeated characters in the
string, the algorithm seems stupid.
such as txt = “aaacaaab” pat = “aaab”：
Obviously, there is no character c in pat
at all, and it is not necessary to roll back the pointer
i
. The brute force solution obviously does a lot of unnecessary operations.
The KMP algorithm is different in that it takes space to record some information, which makes it smart in the above cases:
Another example is similar txt = “aaaaaaab” pat = “aaab”. The brute force solution will go back to the pointer
i
as stupidly as the above example, and the KMP algorithm will be clever:
Because the KMP algorithm knows that the character a before the character b is matched, it is only necessary to compare whether the character b is matched every time.
The KMP algorithm never rolls back the pointer i
of txt
and does not go back (it
does not scan txt
repeatedly), but uses the information stored in the dp
array to move
pat
to the correct position to continue matching. The time complexity only needs O(N), and
space is used for time, so I think it is a dynamic programming algorithm.
The difficulty of the KMP algorithm is how to calculate the information in the dp
array? How to move
the pointer of pat correctly based on this information? This requires Determining Finite State
Automata to assist. Don’t be afraid of such a large literary vocabulary. In fact, it is exactly the same
as the dynamic programming dp
array. You can use this word to scare others when you learn it.
One more thing to be clear about: Calculate the dp
array, only related to the pat
string. It means that as long as you give me a pat
, I can calculate thedp
array
from this pattern string, and then you can give me different txt
, I am not afraid, I can use this
dp
array. String matching is done at O (N) time.
Specifically, for example, the two examples mentioned above:
Our txt
is different, but pat
is the same, so the dp
array used by the KMP
algorithm is the same.
Just for the upcoming unmatched case of txt1
:
The dp
array instructs pat
to move like this:
PS：This j
should not be interpreted as an index, its meaning should be more accurately
state, so it will appear in this strange position, which will be described later.
And for the following unmatched case of txt2
:
The dp
array instructs pat
to move like this:
Understand that the dp
array is only related to pat
, so we will design the KMP algorithm
more beautifully:
public class KMP {
private int[][] dp;
private String pat;
public KMP( pat) {
this.pat = pat;
// Build dp array from pat
// Requires O (M) time
}
public int search( txt) { // Match txt with dp array
// O (N) time required
}
}
In this way, when we need to use the same pat
to match different txt
, we don’t need to
waste time constructing dp
arrays:
KMP kmp = new KMP("aaab");
int pos1 = kmp.search("aaacaaab");
//4
int pos2 = kmp.search("aaaaaaab");
//4
Why is the KMP algorithm related to the state machine? That’s it, we can think of a pat
match as a
state transition. For example when pat = “ABABC”:
As shown above, the number in the circle is the state, state 0 is the starting state, and state 5
(pat.length
) is the ending state. At the beginning of the match, pat
is in the starting
state. Once it is transferred to the ending state, it means that pat
was found in txt
. For
example, if it is currently in state 2, the character “AB” is matched:
In addition, pat
state transition behaves differently in different states. For example, suppose that
it now matches state 4. If it encounters character A, it should transition to state 3, if it encounters character C,
it should transition to state 5, and if it encounters character B, it should transition to state 0:
What does it mean, let’s take a look at each example. Use the variable j
to indicate a pointer to the
current state. The current pat
matches state 4:
If the character “A” is encountered, it is the smartest to transition to state 3 as indicated by the arrow:
If the character “B” is encountered, as indicated by the arrow, it can only be transferred to state 0 (returning to liberation overnight):
If the character “C” is encountered, it should transition to the termination state 5 according to the arrow, which means that the match is complete:
Of course, you may also encounter other characters, such as Z, but you should obviously move to the starting state
0, because there is no character Z at all in pat
:
Here for clarity, when we draw the state diagram, the arrows that transfer other characters to state 0 are omitted,
and only the state transition of the characters appearing in pat
is drawn:
The most critical step of the KMP algorithm is to construct this state transition diagram. To determine the behavior of the state transition, two variables must be specified, one is the current matching state and the other is the character encountered; Once these two variables are determined, you can know which one to transfer in this case status.
Let’s take a look at the process of the KMP algorithm matching the string txt
according to this state
transition diagram:
Remember this GIF matching process, this is the core logic of the KMP algorithm！
To describe the state transition diagram, we define a two-dimensional dp array, which has the following meaning:
dp[j][c] = next
0 <= j < M，The current state of the table
0 <= c < 256，Character encountered (ASCII code)
0 <= next <= M，Represents the
next state
dp[4]['A'] = 3 Means:
The current state is 4, if the character A is encountered,
pat should go to state 3
dp[1]['B'] = 2 Means:
Current state 1, if character B is encountered,
pat should transition to state 2
According to the definition of our dp array and the process of state transition just now, we can first write the search function code of the KMP algorithm:
public int search(String
txt)
{
int M = pat.length();
int N = txt.length();
// The initial state of pat is 0
int j = 0;
for (int i = 0; i < N; i++) {
// The current state is j. The character txt [i] is encountered.
// Which state should pat go to?
j = dp[j][txt.charAt(i)];
// If the termination state is reached, the index at the beginning of the match is
returned
if (j == M) return i - M + 1;
}
// Not reached termination state, matching failed
return -1;
}
At this point, it should still be well understood. The dp
array is the state transition diagram we
just drew. If not clear, go back and see the evolution of the GIF algorithm. Here’s how to build this
dp
array via pat
?
Recall what just said:To determine the behavior of state transitions, two variables must be specified, one
is the current matching state and the other is the character encountered, And we have determined the
meaning of the dp
array according to this logic, then the framework for constructing the
dp
array is like this:
for 0 <= j < M: # status
for 0 <= c < 256: # character
dp[j][c] = next
How should we find this next state? Obviously, If the characters c
and pat[j]
match, the state should move forward by one. That is, next = j + 1
. We might as well call
this situation state advance:
If the characters c
and pat[j]
do not match, the state will roll back (or stay in place),
we might as well call this situation state restart:
So, how do you know in which state to restart? Before answering this question, we define another name:
Shadow State (i named), which is represented by the variable X
. The so-called
shadow state has the same prefix as the current state. For example:
The current state j = 4
, its shadow state is X = 2
, and they all have the same prefix
“AB”. Because the state X
and the state j
have the same prefix, when the state
j
is ready for state restart (the characters encountered c
and pat[j]
do not
match), you can use X
State transition diagram to get recent restart position.
For example, if the state j
encountered a character “A”, where should it go? First of all, the state
can only be advanced if it encounters “C”. Obviously, it can only restart the state when it encounters “A”.
State j
will delegate this character to state X
processing, which is
dp[j]['A'] = dp[X]['A']
:
Why is this possible? Because: Since j
has been determined that the character “A” cannot be advanced,
can only be rolled back, and KMP wants to roll back as little as possible to avoid
unnecessary calculations. Then j
can ask X
with the same prefix as itself. If
X
meets “A” and can perform “state advancement”, then it will be transferred, because it will have the
least rollback.
Of course, if the character encountered is “B”, the state X
cannot be “state advanced” and can only be
rolled back. j
just needs to roll back in the direction of X
:
You may ask, how does this X
know that when it encounters the character “B”, it will fall back to
state 0? Because X
always follows behind j
, how the state X
shifts has been
calculated before. Doesn’t dynamic programming algorithm use past results to solve current problems?
In this way, we will refine the framework code just now:
int X # Shadow state
for 0 <= j < M:
for 0 <= c < 256:
if c == pat[j]:
# State advancement
dp[j][c] = j + 1
else:
# State restart
# Delegate X to calculate restart position
dp[j][c] = dp[X][c]
If you can understand the previous content, congratulations! Now there is one question left: how did the shadow
state X
get? Let’s look directly at the complete code.
public class KMP {
private int[][] dp;
private String pat;
public KMP( pat) {
this.pat = pat;
int M = pat.length();
// dp[state][character] = next state
dp = new int[M][256];
// base case
dp[0][pat.charAt(0)] = 1;
// Shadow state X is initially 0
int X = 0;
// Current state j starts at 1
for (int j = 1; j < M; j++) {
for (int c = 0; c < 256; c++) {
if (pat.charAt(j) == c)
dp[j][c] = j + 1;
else
dp[j][c] = dp[X][c];
}
// Update shadow status
X = dp[X][pat.charAt(j)];
}
}
public int search( txt) {...} }
First explain this line of code:
// base case
dp[0][pat.charAt(0)] = 1;
This line of code is a base case. Only when the character pat[0] is encountered can the state transition from 0 to 1. If it encounters other characters, it stays at state 0 (Java initializes the array to 0 by default).
The shadow state X
is first initialized to 0 and then continuously updated as j
advances.
Let’s see how to update the shadow state X
in the end:
int X = 0;
for (int j = 1; j < M; j++) {
...
// Update shadow status
// The current state is X, the character pat[j] is encountered,
// Which state should pat go to?
X = dp[X][pat.charAt(j)];
}
Updating X
is actually very similar to updating the status j
in the search
function:
int j = 0;
for (int i = 0; i < N; i++) {
// The current state is j. The character txt[i] is encountered.
// Which state should pat go to?
j = dp[j][txt.charAt(i)];
...
}
The principle is very delicate, pay attention to the initial value of the variable in the for loop
in the code, you can understand this: the latter is matching pat
in txt
, the former is
matching pat[1.end]
, state X
is always one state behind state j
, with the
same longest prefix as j
. So I compare X
to a shadow state, and it seems a bit
appropriate.
In addition, constructing the dp array is based on the base case dp[0][..]
. This is why I consider the
KMP algorithm to be a dynamic programming algorithm.
Take a look at the complete construction process of the state transition diagram, you can understand the subtlety
of the role of the state X
:
At this point, the core of the KMP algorithm has finally been written. Take a look at the complete code of the KMP algorithm:
public class KMP {
private int[][] dp;
private String pat;
public KMP( pat) {
this.pat = pat;
int M = pat.length();
// dp[state][character] = next state
dp = new int[M][256];
// base case
dp[0][pat.charAt(0)] = 1;
// Shadow state X is initially 0
int X = 0;
// Build state transition diagram (slightly more compact)
for (int j = 1; j < M; j++) {
for (int c = 0; c < 256; c++)
dp[j][c] = dp[X][c];
dp[j][pat.charAt(j)] = j + 1;
// Update shadow status
X = dp[X][pat.charAt(j)];
}
}
public int search( txt) {
int M = pat.length();
int N = txt.length();
// The initial state of pat is 0
int j = 0;
for (int i = 0; i < N; i++) {
// Calculate the next state of pat
j = dp[j][txt.charAt(i)];
// Reached termination state and returned results
if (j == M) return i - M + 1;
}
// Not reached termination state, matching failed
return -1;
}
}
After the previous detailed examples, you should understand the meaning of this code. Of course, you can also write the KMP algorithm as a function. The core code is the part of the for loop in the two functions. Is there more than ten lines in the count?
The traditional KMP algorithm uses a one-dimensional array next
to record prefix information, and this
article uses a two-dimensional array dp
to solve the character matching problem from the perspective of
state transition, but the space complexity is still O(256M) = O(M).
In the process of pat
matching txt
, as long as the two questions of “current state” and
“what characters are encountered” are clear, it can be determined which state should be transferred (forward or
back) .
For a pattern string pat
, there are a total of M states, and for ASCII characters, the total will not
exceed 256. So we construct an array dp[M][256]
to include all cases, and make clear the meaning of the
dp
array:
dp[j][c] = next
means that the current state is j
, the character c
is
encountered, and it should move to the state next
.
With its meaning clear, it is easy to write the code for the search function.
For how to build this dp
array, you need a secondary state X
, which is always one state
behind the current state j
, with the same prefix as the longest j
. We named it “Shadow
State”.
When constructing the transition direction of the current state j
, only the character
pat[j]
can advance the state (dp[j][pat[j]] = j + 1
); for other characters only State
fallback, you should ask where the shadow state X
should fall back
(dp[j][other] = dp[X][other]
, where other
is other than pat[j]
all other
characters).
For the shadow state X
, we initialize it to 0 and update it as j
advances. The update
method is very similar to the search process to update j
(X = dp[X][pat[j]]
).
The KMP algorithm is also a matter of dynamic programming. Our public account article directory has a series of
articles that specialize in dynamic programming, and all are based on a set of frameworks. It is nothing more than
describing the logic of the problem, clarifying the meaning of the dp
array and defining the base case.
 I hope this article will give you a deeper understanding of dynamic programming.


404! You have been cut off!
Cannot find the page you are looking for...
Look in the address bar to see if you mistyped something.


{{ with .Site.Params.description }} {{.}} {{ else }}An elegant open source and mobile first theme for hugo made by @mdo. Originally made for Jekyll.{{end}}
English | Nederlands


find_scalac(version, locations = NULL)
scala
version to search for. Versions
of the form major.minor
will be matched against the
scalac
installation with version major.minor.patch
;
if multiple compilers are discovered the most recent one will be
used./opt/scala
and /usr/local/scala
will
be scanned.Find the scalac
compiler for a particular version of
scala
, by scanning some common directories containing
scala
installations.


Error
public enum Error : LocalizedError
DiveKit.Error
is the error type returned by DikeKit. It encompasses a few different types of errors, each with their own associated reasons.
-
DiveKit.Error
representing the need for a positive parameter to be passed, associated values forErrorParameter
representing the parameter passed andDouble
representing the value passed.Declaration
Swift
case positiveValueRequired(parameter: ErrorParameter, value: Double)
-
DiveKit.Error
representing the need for a parameter for a percentage passed that does not fall in range of 0% - 100%, associated values forErrorParameter
representing the parameter passed andDouble
representing the value passed.Declaration
Swift
case percentage(title: ErrorParameter, value: Double)
-
DiveKit.Error
representing the the sum of the passed parameters to equal 100%, associated value ofDouble
representing the sum of the values passed.Declaration
Swift
case totalPercent(value: Double)
-
DiveKit.Error
representing the need for a parameter for a decimal passed that does not fall in range of 0.0 - 1.0, associated value ofDouble
representing the decimal value passed.Declaration
Swift
case decimal(value: Double)
-
Returns an optional string that describes the title of the error.
Declaration
Swift
public var title: String? { get }
-
Returns an optional string that describes the error.
Declaration
Swift
public var errorDescription: String? { get }
-
Returns an optional string that describes reason for the error.
Declaration
Swift
public var failureReason: String? { get }
-
Returns an optional string that possible ways to recover from the error.
Declaration
Swift
public var recoverySuggestion: String? { get }
-
Returns a Double representing the value passed, which triggered the error.
Declaration
Swift
public var value: Double { get }
-
See moreErrorParameter
allows for a simple method for passing the error inducing parameter aDiveKit.Error
.Declaration
Swift
public enum ErrorParameter : String


Voice-Controlled Audio Player
Path :
Save
Current Path :
Available Songs
Command
Command Type
AudioFile
Play Audio
Play Audio and Print Screen
Play audio for 30 seconds
Add More Attachements
Available Commands:
Play
- Plays the current song or starts the first song.
Stop
- Stops the the current song and nullifies the playback time.
Pause
- Pauses the current song.
Next
Plays the next song in the list.
Previous
- Plays the previous song in the list.
Play [slice from song's or singer's name]
- Plays a song with a particular name, if found.


[TdFileSelect]
Add the directive wherever you want to bind a [File | FileList] into a class model to an existing ]]>
element.
Uses optional [(ngModel)] directive to bind file. (if [(ngModel]) exists, [fileSelect] event is omitted)
The [tdFileSelect]
directive has 7 properties:
Sets if multiple files can be dropped/selected at once in [TdFileUploadComponent].
Sets files accepted when opening the file browser dialog. Same as "accept" attribute in ]]> element.
Disables [TdFileUploadComponent] and clears selected/dropped files.
Event emitted when upload button is clicked. Emits a [File | FileList] object.
Sets browse button color. Uses same color palette accepted as [mdButton] and defaults to "primary".
Sets upload button color. Uses same color palette accepted as [mdButton] and defaults to "accent".
Sets cancel button color. Uses same color palette accepted as [mdButton] and defaults to "warn".


--- layout: default title: Sandbox Reports ---
These reports are accessible for querying with a GIA Report Results API Sandbox Key.
| Report Number | Report Type | Results Type | Assets |
|---|---|---|---|
| {{ sample_report.report_number }} | {{ sample_report.report_type }} | {{ sample_report.results_type }} | {{ sample_report.content | markdownify }} |


public class CursorConfig
extends java.lang.Object
implements java.lang.Cloneable
| Modifier and Type | Field and Description |
|---|---|
static CursorConfig |
BULK_CURSOR
A convenience instance to specify the database cursor will be used to make
bulk changes to the underlying database.
|
static CursorConfig |
DEFAULT
Default configuration used if null is passed to methods that create a
cursor.
|
static CursorConfig |
DEGREE_2
Deprecated.
This has been replaced by
READ_COMMITTED to conform to ANSI database isolation terminology. |
static CursorConfig |
DIRTY_READ
Deprecated.
This has been replaced by
READ_UNCOMMITTED to conform to ANSI
database isolation terminology. |
static CursorConfig |
READ_COMMITTED
A convenience instance to configure a cursor for read committed isolation.
|
static CursorConfig |
READ_UNCOMMITTED
A convenience instance to configure read operations performed by the
cursor to return modified but not yet committed data.
|
static CursorConfig |
SNAPSHOT
A convenience instance to configure read operations performed by the
cursor to return values as they were when the cursor was opened, if
DatabaseConfig.setMultiversion(boolean) is configured. |
static CursorConfig |
WRITECURSOR
A convenience instance to specify the Concurrent Data Store environment
cursor will be used to update the database.
|
| Constructor and Description |
|---|
CursorConfig()
An instance created using the default constructor is initialized with
the system's default settings.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
getBulkCursor()
Return if the cursor will be used to do bulk operations on the underlying
database.
|
boolean |
getDegree2()
Deprecated.
This has been replaced by
getReadCommitted() to conform to ANSI
database isolation terminology. |
boolean |
getDirtyRead()
Deprecated.
This has been replaced by
getReadUncommitted() to
conform to ANSI database isolation terminology. |
boolean |
getReadCommitted()
Return if the cursor is configured for read committed isolation.
|
boolean |
getReadUncommitted()
Return if read operations performed by the cursor are configured to
return modified but not yet committed data.
|
boolean |
getSnapshot()
Return if read operations performed by the cursor are configured to return
data as it was when the cursor was opened, without locking.
|
boolean |
getWriteCursor()
Return if the Concurrent Data Store environment cursor will be used to
update the database.
|
void |
setBulkCursor(boolean bulkCursor)
Specify that the cursor will be used to do bulk operations on the
underlying database.
|
void |
setDegree2(boolean degree2)
Deprecated.
This has been replaced by
setReadCommitted(boolean) to conform to ANSI
database isolation terminology. |
void |
setDirtyRead(boolean dirtyRead)
Deprecated.
This has been replaced by
setReadUncommitted(boolean) to
conform to ANSI database isolation terminology. |
void |
setReadCommitted(boolean readCommitted)
Configure the cursor for read committed isolation.
|
void |
setReadUncommitted(boolean readUncommitted)
Configure read operations performed by the cursor to return modified
but not yet committed data.
|
void |
setSnapshot(boolean snapshot)
Configure read operations performed by the cursor to return data as it was
when the cursor opened without locking, if
DatabaseConfig.setMultiversion(boolean) was configured. |
void |
setWriteCursor(boolean writeCursor)
Specify the Concurrent Data Store environment cursor will be used to
update the database.
|
public static final CursorConfig DEFAULT
public static final CursorConfig BULK_CURSOR
public static final CursorConfig READ_COMMITTED
This ensures the stability of the current data item read by the cursor but permits data read by this cursor to be modified or deleted prior to the commit of the transaction.
public static final CursorConfig READ_UNCOMMITTED
public static final CursorConfig SNAPSHOT
DatabaseConfig.setMultiversion(boolean)
is configured.public static final CursorConfig WRITECURSOR
The underlying Berkeley DB database environment must have been configured as a Concurrent Data Store environment.
public static final CursorConfig DIRTY_READ
READ_UNCOMMITTED
to conform to ANSI
database isolation terminology.public static final CursorConfig DEGREE_2
READ_COMMITTED
to conform to ANSI database isolation terminology.This ensures the stability of the current data item read by the cursor but permits data read by this cursor to be modified or deleted prior to the commit of the transaction.
public CursorConfig()
public void setBulkCursor(boolean bulkCursor)
bulkCursor
- If true, specify the cursor will be used to do bulk operations on the
underlying database.public boolean getBulkCursor()
public void setReadCommitted(boolean readCommitted)
This ensures the stability of the current data item read by the cursor but permits data read by this cursor to be modified or deleted prior to the commit of the transaction.
readCommitted
- If true, configure the cursor for read committed isolation.public boolean getReadCommitted()
public void setDegree2(boolean degree2)
setReadCommitted(boolean)
to conform to ANSI
database isolation terminology.This ensures the stability of the current data item read by the cursor but permits data read by this cursor to be modified or deleted prior to the commit of the transaction.
degree2
- If true, configure the cursor for read committed isolation.
public boolean getDegree2()
getReadCommitted()
to conform to ANSI
database isolation terminology.public void setReadUncommitted(boolean readUncommitted)
readUncommitted
- If true, configure read operations performed by the cursor to return
modified but not yet committed data.public boolean getReadUncommitted()
public void setDirtyRead(boolean dirtyRead)
setReadUncommitted(boolean)
to
conform to ANSI database isolation terminology.dirtyRead
- If true, configure read operations performed by the cursor to return
modified but not yet committed data.
public boolean getDirtyRead()
getReadUncommitted()
to
conform to ANSI database isolation terminology.public void setSnapshot(boolean snapshot)
DatabaseConfig.setMultiversion(boolean)
was configured.
snapshot
- If true, configure read operations performed by the cursor to return
data as it was when the cursor was opened, without locking.public boolean getSnapshot()
public void setWriteCursor(boolean writeCursor)
writeCursor
- If true, specify the Concurrent Data Store environment cursor will be
used to update the database.public boolean getWriteCursor()
Copyright (c) 1996, 2016 Oracle and/or its affiliates. All rights reserved.


{-# LANGUAGE Haskell2010 #-} {-# LANGUAGE CPP #-} module CPP where #define SOMETHING1 foo :: String foo :: String foo = {- " single quotes are fine in block comments {- nested block comments are fine -} -} String "foo" #define SOMETHING2 bar :: String bar :: String bar = String "block comment in a string is not a comment {- " #define SOMETHING3 -- " single quotes are fine in line comments -- {- unclosed block comments are fine in line comments -- Multiline CPP is also fine #define FOO\ 1 baz :: String baz :: String baz = String "line comment in a string is not a comment --"


title = "Products" url = "/products" layout = "default" description = "We offer many different technologies to meet your needs." hidden = "0" ==


---
title: The Haraka Community
---
The Haraka Community
Haraka has a strong community presence. Use the links below to talk with us.
Mailing List
Haraka has an active Mailing List which you can join by sending a mail to<EMAIL_ADDRESS>We are working on providing list archives.
IRC
The core developers have much of their discussions about features in the #haraka IRC channel on irc.freenode.net. It is highly recommended to join the IRC channel if you are new to Haraka and wish to ask questions. They will be answered fastest there.
Github
For everything else, we use Github. Post bug reports there on the issue tracker and feel free to browse the code and try and learn the structure of the project.
Haraka can be found at haraka/Haraka on Github.


Theon
Sell:
Hero's
Storekeeper's
Current Item:
Qty: 0
Price: 0
Total: 0
Move: ← ↑ → ↓
Interact: space bar
Toggle Buy/Sell Mode: enter (while in shop)
Equip different heroes: enter (while in inventory, after new heroes are added)


In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir
to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
# data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images
.
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputs
discriminator
generator
model_loss
model_opt
train
This will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
Implement the model_inputs
function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width
, image_height
, and image_channels
.z_dim
.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
# TODO: Implement Function
input_real = tf.placeholder(tf.float32, (None, image_width, image_height, image_channels), name='input_real')
input_z = tf.placeholder(tf.float32, (None, z_dim), name = "input_z")
learning_rate = tf.placeholder(tf.float32, name = "learning_rate")
return input_real, input_z, learning_rate
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Implement discriminator
to create a discriminator neural network that discriminates on images
. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope
with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the generator, tensor logits of the generator).
def discriminator(images, reuse=False, alpha = 0.1):
"""
Create the discriminator network
:param image: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
# TODO: Implement Function
with tf.variable_scope('discriminator', reuse=reuse):
x = tf.layers.conv2d(images, 128, 5, strides=2, padding='same')
x = tf.layers.batch_normalization(x, training=True)
x = tf.maximum(alpha * x, x)
x = tf.layers.conv2d(x, 256, 5, strides=2, padding='same')
x = tf.layers.batch_normalization(x, training=True)
x = tf.maximum(alpha * x, x)
x = tf.layers.conv2d(x, 512, 5, strides=2, padding='same')
x = tf.layers.batch_normalization(x, training=True)
x = tf.maximum(alpha * x, x)
x = tf.reshape(x, (-1,4*4*512))
logits = tf.layers.dense(x, 1)
out = tf.sigmoid(logits)
return out, logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Implement generator
to generate an image using z
. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope
with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim
images.
def generator(z, out_channel_dim, is_train=True, alpha = 0.1):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
# TODO: Implement Function
reuse = not is_train
with tf.variable_scope('generator', reuse=reuse):
x = tf.layers.dense(z, 7*7*512)
x = tf.layers.batch_normalization(x, training=is_train)
x = tf.reshape(x, (-1, 7,7, 512))
x = tf.layers.conv2d_transpose(x, 256, 5, strides=2, padding='same')
x = tf.layers.batch_normalization(x, training=is_train)
x = tf.maximum(alpha * x, x)
x = tf.layers.conv2d_transpose(x, 128, 5, strides=2, padding='same')
x = tf.layers.batch_normalization(x, training=is_train)
x = tf.maximum(alpha * x, x)
logits = tf.layers.conv2d_transpose(x, out_channel_dim, 3, strides=1, padding='same')
out = tf.tanh(logits)
return out
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Implement model_loss
to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)
generator(z, out_channel_dim, is_train=True)
def model_loss(input_real, input_z, out_channel_dim, alpha=0.1, smooth=0.1):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
# TODO: Implement Function
g_model = generator(input_z, out_channel_dim)
d_model_real, d_logits_real = discriminator(input_real, reuse=False)
d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
d_loss_real = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real) * (1 - smooth)))
d_loss_fake = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
d_loss = d_loss_real + d_loss_fake
g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake) ))
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Implement model_opt
to create the optimization operations for the GANs. Use tf.trainable_variables
to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
# TODO: Implement Function
t_vars = tf.trainable_variables()
g_vars = [var for var in t_vars if var.name.startswith('generator')]
d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS, scope='generator')):
d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1).minimize(d_loss, var_list=d_vars)
g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1).minimize(g_loss, var_list=g_vars)
return d_train_opt, g_train_opt
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
image_z = np.random.uniform(-1, 1, size=[n_images, input_z.get_shape().as_list()[-1]])
samples = sess.run(generator(input_z, out_channel_dim, False), feed_dict={input_z: image_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=None if image_mode == 'RGB' else 'gray')
pyplot.show()
Implement train
to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)
model_loss(input_real, input_z, out_channel_dim)
model_opt(d_loss, g_loss, learning_rate, beta1)
Use the show_generator_output
to show generator
output while you train. Running show_generator_output
for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator
output every 100 batches.
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
# TODO: Build Model
input_real, input_z, lr = model_inputs(data_shape[1], data_shape[2], data_shape[3], z_dim)
d_loss, g_loss = model_loss(input_real, input_z, data_shape[3])
d_opt, g_opt = model_opt(d_loss, g_loss, lr, beta1)
i = 0
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
for batch_images in get_batches(batch_size):
# TODO: Train Model
batch_images = batch_images*2
batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
_ = sess.run(d_opt, feed_dict={input_real: batch_images, input_z: batch_z, lr: learning_rate})
_ = sess.run(g_opt, feed_dict={input_z: batch_z, lr: learning_rate})
if i % 100 == 0:
show_generator_output(sess, 36, input_z, data_shape[3], data_image_mode)
if i % 10 == 0:
train_loss_d = d_loss.eval({input_z: batch_z, input_real: batch_images})
train_loss_g = g_loss.eval({input_z: batch_z})
print("Epoch {}/{} :".format(epoch_i, epoch_count),
"Discriminator Loss: {:.4f} :".format(train_loss_d),
"Generator Loss: {:.4f}".format(train_loss_g))
i += 1
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 64
z_dim = 100
learning_rate = 0.0002
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 64
z_dim = 100
learning_rate = 0.0002
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.


miRNAs fruit expression target orange targets flower used miRNA gene degradome secondary novel RNA identified file sequencing different known data leaf Plant Csg leaf, expressed miR Additional category analysis sweet {border-style genes (.%) Cell RNAs csi-miR microRNAs px;} reads showed siRNAs #ffffff;} Chen genotype sequence targeted tissues transcription transcripts (Additional conserved genome higher sequences using Arabidopsis Liu Wang development levels ripening sRNAs (PDF Figure LINK Trinucleotide annotated cleavage involved qRT-PCR siRNA (%) AGO Biol miRNAs. sRNA Bartel NAC described gel highly performed regulation specific tissues. total (Figure Identification Zhang classified fruit. high-throughput highlighted miRNAs, plant plants sinensis stem-loop Csi-miRN KB) Match Mol N/A control csi-miRa factor family mature pattern protein reference shown study BMC Dinucleotide Genomics SSRs TAS csi-miRN developmental example, fruit, generated leaves level loading located previously px; respectively. ripening. samples site small specifically tobacco {font-family ./--- Target abundant biogenesis characterization derived font-size fruit; function functions grouped identify indicated mRNA miRNA* precursors previous results roles sRNAome sequencing. (CUU) ./j.-X...x ./tpc.. Citrus Clean DAF, Dev Expression Raw Tetranucleotide Total Zhu approach blot categories clean data. dataset degraded detected double; fragment group growth including length matching orange. potential predict repeat revealed rice selected structure tags tissues; trigger (a) (b) (category Axtell Csg, Csi-miR Deng Fruit GFP Genome Guo II, III Nat RACE SSR Table article biological border-color border-width candidate compared containing controls csi-miR, csi-miRa-p detect displayed duplexes factor. files flowering identification miRN miRNA-guided mixed number phased pre-miRNAs qRT-PCR. quality regulators reported respectively role solid; stages strand tag {font-style {font-weight (Table (c) ./j.cell... Allen DNA Deep Fr, Green Here, However, MB) Meyers Orange RDR RT-PCR Rep Reverse Sci Small Vaucheret Weigel according bioinformatics bold carrying clear comparison complement complementary confirm consistent contain courier; csi-miRc demonstrated em; experiments flowers fragments genes. however, identified; important infiltration lower miR, miRBase miRNA, miRNA-mediated miRbase microRNA modified observed obtained overexpress plus precursor probes processed pt;} published raw recent red. region replicates. silencing similar sites species structures suggested tissue tomato unique


class InsertionBenchmark
Public Instance Methods
insert_points()
click to toggle source
# File lib/insertion_benchmark.rb, line 2 def insert_points route = Route.new route.mode = "bike" route.user_id = 1 points = [{ lat: 55.4, long: 22.3, altitude: 1.24, kph: 60, time: Time.now.to_i, vertical_accuracy: 30, horizontal_accuracy: 30, course: 100.2, }] * 1000 points.each do |point| route_point = RoutePoint.create do |rp| rp.lat = point[:lat] rp.long = point[:long] rp.altitude = point[:altitude] rp.kph = point[:speed] if point[:speed] rp.kph = point[:kph] if point[:kph] rp.time = Time.at(point[:time].to_i) rp.vertical_accuracy = point[:vertical_accuracy] rp.horizontal_accuracy = point[:horizontal_accuracy] rp.course = point[:course] rp.street_name = point[:street_name] if point[:street_name].present? rp.route = route end route.points << route_point end route.save end
perform_benchmark()
click to toggle source
# File lib/insertion_benchmark.rb, line 35 def perform_benchmark puts "ActiveRecord with transaction:" puts base = Benchmark.measure { insert_points } puts "ActiveRecord with transaction:" puts bench = Benchmark.measure { ActiveRecord::Base.transaction { insert_points } } puts sprintf(" %2.2f base", base.real) puts sprintf(" %2.2f bench", bench.real) puts sprintf(" %2.2fx faster than base", base.real / bench.real) end


Last update: February 16, 2018
Welcome and thanks for your interest in 'Захват территории' game. By accessing and playing the game (the “Game”), you acknowledge that you have read, understood, and agree to the most recent version of these Terms of Service (“Terms”).
We reserve the right to revise these Terms at any time. If we do, we will post the modified Terms on this page and indicate the date of most the recent change above. You agree to read all notifications we send you and to periodically check this page for updates to these Terms. Your continued use of the Game constitutes acceptance of these Terms and any modifications thereto. If you object to any changes, your sole recourse is to cease use of the Game.
Since the Game exist on the Facebook platform, any activities on Facebook beyond the scope of the Game are governed by Facebook’s Statement of Rights and Responsibilities.
We endeavor to provide the best multiplayer game we can, but you understand and agree that THE GAME IS PROVIDED “AS IS”, WITHOUT EXPRESS OR IMPLIED WARRANTY OR CONDITION OF ANY KIND.  WE DISCLAIM ANY WARRANTIES OR CONDITIONS OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT. In addition, we do not warrant, endorse, guarantee or assume responsibility for any Third Party Applications, Third Party Application content, User Content, or any other product or service advertised or offered by a third party on or through the Game or any hyperlinked website, or featured in any banner or other advertising. You understand and agree that we are not responsible or liable for any transaction between you and third-party providers of Third Party Applications or products or services advertised on or through the Game.
The Game has no control over, or responsibility for, authenticity and accuracy of materials posted by users.
Neither we nor any third parties provide any warranty or guarantee as to the accuracy, timeliness, performance, completeness or suitability of the information and materials found or offered on this application for any particular purpose.
We do not bear responsibility and will not be liable for any economic loss, loss of goodwill or reputation, loss of information or any other loss or damage of any kind, even if that loss or damage was foreseeable, which occurs during use of the Game.
From time to time this website may also include links to other websites. These links are provided for your convenience to provide further information. They do not signify that we endorse the websites. We have no responsibility for the content of the linked websites.
The Game are not trying to limit or exclude liability that cannot be limited or excluded by law.
Subject to compliance with these Terms, we are granting you a non-exclusive, non-transferable, revocable limited license to access the Game for your own non-commercial entertainment purposes only. You agree not to use the Game for any other purpose. If you violate any of these Terms, we reserve the right to terminate your license without notice.
“Content” means all software, communications, images, sounds, and material perceived or made available from the Game. It also includes any feedback, comments, or suggestions that you provide to 'Захват территории' regarding the Game. Unless otherwise specified in writing, all Content is owned, controlled, or licensed by us. All Content is copyrighted under French copyright laws and/or similar laws of other jurisdictions, protecting it from unauthorized use.
You agree that all Content, including but not limited to all accounts, characters created acquired and developed during the course of the Game, are the sole and exclusive property of us. We may use all Content for any purpose, including for commercial or promotional use without restriction or compensation to you. You agree not to copy, redistribute, publish or otherwise exploit any Content in violation of the intellectual property rights of us or any other third party.
If you are deemed to have retained any right, title, or interest to any portion of the Content, you agree to and hereby assign solely and exclusively to us all of your right, title, and interest in and to such Content, without additional consideration, under all applicable laws, in perpetuity. If such assignment is ineffective under applicable law, you hereby grant to us the sole and exclusive, irrevocable, sublicensable, transferable, worldwide, royalty-free license to reproduce, modify, create derivative works from, publish, distribute, sell, transfer, transmit, publicly display, use, and practice such Content, and to incorporate the same in other works in any form, media, or technology now known or later developed. To the extent permitted by applicable laws, you hereby waive any moral rights or rights of publicity or privacy you may have in such Content.
We may monitor certain Content in the Game, but cannot monitor or prescreen all of the Content and do not attempt to do so. We have the right, but not the obligation, to edit, refuse to post, or remove any Content posted in the Game that are deemed objectionable or violate these Terms or the spirit of these Terms, in our sole discretion and determination. If you encounter something you find objectionable and in violation of these Terms, you can bring it to our attention by contacting us. We do not assume any responsibility or liability for Content that is generated by users of the Game, including users chat messages. You bear the entire risk of the completeness, accuracy or usefulness of Content found in the Game.
You acknowledge and agree that we may use built-in tracking features to obtain information regarding your use of the Game, and agree that such information is deemed to be Content for all purposes under these Terms.
The following rules are not meant to be exhaustive, and we reserve the right to determine which conduct we consider to be outside the spirit of the Game and to take such disciplinary measures as we see fit up to and including termination and deletion of the user’s account.
If we find in its sole and exclusive discretion that you have violated the Code of Conduct, we can change or remove the violating item and/or suspend or terminate your access to and use of the Game.
You agree that your use of and conduct in the Game shall be lawful and you will not:
- transmit or post any content or language which, in our sole and absolute discretion, is deemed to be offensive, including without limitation content or language that is unlawful, harmful, threatening, abusive, harassing, defamatory, vulgar, obscene, hateful, sexually explicit, or racially, ethnically or otherwise objectionable, nor may you use a misspelling or an alternative spelling to circumvent the content and language restrictions listed above;
- communicate or post any user’s personal information, including but not limited to another user’s address, phone number, e-mail address, or credit card number, in the Game without the use’s express written consent, except that a user may communicate his or her own personal information;
- violate the contractual, personal, intellectual property or other rights of any party, or promote or constitute illegal activity;
- make improper use of our support services or submit false reports of abuse or misconduct;
- disseminate, transmit, or attempt to upload viruses, Trojan horses, keyboard loggers, time bombs, adware, spyware, or any other malicious or invasive code of program;
- copy or adapt the Game software including but not limited to Flash, PHP, HTML, JavaScript, or other code;
- reverse engineer, decompile, reverse assemble, modify or attempt to discover any software (source code or object code) that we created to generate web pages or any software or other products or processes accessible through the Game;
- except as may be the result of standard search engine or Internet browser usage, use or launch, develop or distribute any automated system, including, without limitation, any spider, robot (or “bot”), cheat utility, scraper or offline reader that accesses the Game, or use or launch any unauthorized script or other software;
- interfere with or circumvent any security feature of the Game or any feature that restricts or enforces limitations on use of or access to the Game or Content;
- engage in cheating or any other activity deemed by us to be in conflict with the spirit or intent of the Game.
Again, please be aware that any activities on Facebook beyond the scope of the Game are governed by Facebook’s Statement of Rights and Responsibilities.
By accessing and using the Game, you represent and warrant that you are at least 13 years old. If you are a minor over the age of 13, we recommend you seek consent from a parent or legal guardian before accessing the Game.
We reserve the right to terminate or suspend your account or access to any or all of the Game at any time and for any reason. It is within our sole discretion and determination to terminate your account for what we deem to be a violation or reach of these Terms. In the event that we terminate or suspend your account, you will have no further access to your account or anything associated to it.
We respect the privacy of the users of its Game. By accessing the Game, you acknowledge and incorporate the Privacy Policy into these Terms. Please refer to our’s Privacy Policy here: https://springs-sunshine.herokuapp.com/docs/privacy-policy.html.


Welcome to OneSource IT Solutions LLC Services page! Here, you will find the service packages we offer. We also have a list of all possible services we offer as well. If you are interested or have questions about a service, please click the email in the contact section below.
Our Online Marketing & Brand Awareness package, will help kick start a business in to a world of limitless potential. In doing this, we also create a boost in brand awareness, which helps people understand who a business is and what it stands for.
This service package, is sectioned off in to three levels. A person, will have the choice of Bronze, Silver, or Gold. All levels, will include a Domain Name, Hosting, a Website, Search Engine Optimization, Brand Awareness Boost, and a free month of Website and Web Server maintenance. The difference between each level, is the amount of hours dedicated to each individual service offered in the package.
The bronze level, is great for getting a foot in the door. Each service in this level, is offered at a base price. If expanding in to the online market creates a little uncertainty, then this is the level to help clear those uncertainties. The initial starting fee for this level, is $200. In the months after, the monthly price will be $125 per month. This will cover updates to SEO and the monthly maintenance cost for the site and server if a customer chooses to continue after the first free month of SEO and maintenance.
Clarification:
First Month: Initial fee is $200
2nd Month: Free SEO updates and Site and Server
Maintenance.
Note: for this level, monthly fee with start on the 61st
day.
The silver level, is a step up from the bronze. With this level, we not only provide a kick start, we also stay on board a little longer. We put more hours towards developing the website, optimizing for search engines, and bringing awareness to the business brand. The price for our Silver level, is $300. SEO updates and Website and Server maintenance, will be free for the first two months. After, the monthly cost to keep SEO updates and monthly service, will be $125.
Clarification:
First Month: Initial fee of $300
2nd Month & 3rd month: Free SEO updates and Site and
Server
Maintenance.
Note: for this level, monthly fee with start on the 91st
day.
The gold level, is the highest level of this package. With this level, a person will get a custom website, full dedication to optimizing for search engines, and a brand awareness kick off on all levels. The price for this level, is $400. We also provide 3 months of free SEO updates and Website and Server maintenance. After, the monthly cost to keep SEO updates and monthly service, will be $125.
Clarification:
First Month: Initial fee of $400
2nd, 3rd, and 4th months: Free SEO updates and Site and
Server
Maintenance.
Note: for this level, monthly fee with start on the 121st
day.
Our SEO(Search Engine Optimization) service, is a long way to say "increase Google Ranks". For people to find a place online, that place must be able to be found by Google. The main goal of this service, is to get a person's business more web traffic, which can lead to an increase of customers.
Let's say a person, is looking for a repair shop or a local burger restaurant.  These are called "KEYWORDS" and allow Google to find the best possible result listed in that area.
Here at OneSource IT Solutions LLC, we take advantage of this, as well as other specific features. Our goal, is to get a person's business listed on the top 20 in the first 4 months. Get in contact with us today to make this happen!
Starting At: $250 / Monthly
Note: OneSourceITS, does not guarantee more sales for a business. Only its web presence and online traffic.
Our Website Build- Starter service, includes a Single Page Website that maximizes a businesses online marketing potential. Expanding a business in to the online market, is the first building block to taking full advantage of this vast field of potential customers. With this starter Website service, we also provide a kick start to Search Engine Optimization and Google Analytics, which will get the business an initial notice from Google and will allow the site owner to view web traffic information.
Starting At: $100
Custom add-on's: $100 - $250
Do you have a Website, but just don't have the time to take care of maintenance and
repairs? Let
OneSource IT Solutions help! Our Website Maintenance service, is a monthly service
that includes
daily site updates, repairs, and content Management.
You focus on making your dream a reality, while we focus on what's under the hood.
We look forward to hearing from you!
Someone from Our team, will be available via phone 12 hours a day, 6 days a week. We are available via email 24 hours a day, 7 days a week.
Starting At: $85 / Monthly
Yearly: $714 ($59.50 /Monthly: 30% discount)
Ready to start your next project with us? Give us a call or click the email below to open the contact form and we will get back to you as soon as possible!


Sweet Free Stuff
///////////////////////////////////////////
Free Speed Stick Gear Antiperspirant/Deodorant at Rite Aid
Posted: 03 Feb 2016 10:09 AM PST
http://feedproxy.google.com/&edburner&utm_medium=email
Starting February 7th Rite Aid will have Speed Stick Gear
Antiperspirant/Deodorant for $3.49. There is a $2 off Softsoap, Irish
Spring or Gear Rite Aid Coupon in the February 7th Weekly Ad.
The post Free Speed Stick Gear Antiperspirant/Deodorant at Rite Aid
appeared first on SweetFreeStuff.com.
///////////////////////////////////////////
Free Redbox Video Game Rental
Posted: 03 Feb 2016 03:00 AM PST
http://feedproxy.google.com/&edburner&utm_medium=email
Use code: GAMEON Today (2/3) only. Free Redbox Video Game Rental
The post Free Redbox Video Game Rental appeared first on SweetFreeStuff.com.
Commentsworked!! Thanks for this!!! by Natesays campaign has already ended
by mjwdoesnt work, only gives you a code once a month for a movie by KELLY
///////////////////////////////////////////
Free Book: Charismatic Chaos
Posted: 02 Feb 2016 11:03 PM PST
http://feedproxy.google.com/&edburner&utm_medium=email
Free Book: Charismatic Chaos
The post Free Book: Charismatic Chaos appeared first on SweetFreeStuff.com.
///////////////////////////////////////////
Free Chicken Egg Roll at Panda Express on February 8
Posted: 02 Feb 2016 09:34 PM PST
http://feedproxy.google.com/&edburner&utm_medium=email
Free Chicken Egg Roll at Panda Express on February 8
The post Free Chicken Egg Roll at Panda Express on February 8 appeared
first on SweetFreeStuff.com.
///////////////////////////////////////////
Free Subscription to Elle Magazine
Posted: 02 Feb 2016 12:30 PM PST
http://feedproxy.google.com/&edburner&utm_medium=email
Free Subscription to Elle Magazine
The post Free Subscription to Elle Magazine appeared first on
SweetFreeStuff.com.
Commentsthey only do that when it’s time to re-subscribe. All you do is …
by Floyd Craig ThayerDue to overwhelming demand, ELLE is currently out of
stock. * … by Floyd Craig ThayerIf it’s free, how and why did they
charge me $16plus dollars. … by DCI have gotten a lot of FREE magazine
from Rewards Gold. You … by EttaMy lil sis loves it!! by CraigPlus 9
more…


Welcome to Snippets
Information Shortcuts using NLP
Information Shortcuts using NLP
Snippets helps you summarize chapter by chapter that awesome non-fictional book you have not had the time to complete as well as discover emotions based on each chapter
We are currenly working on the real-time and DIY book summarization interface on Snippet.
This means that if there are specific books you would like summarized and at your possession, fill this form and we will send a notification when it has been summarized


These are based on the maximum dividends being taken. There are very probably errors in the tax based logic so please don't use this for anything but a fun guide!
Combined total net income: {{ calc.totals.peopleCombined.annualNetIncome | currency : '£' : 2 }}
Combined total monthly income: {{ calc.totals.peopleCombined.monthlyNetIncome | currency : '£' : 2 }}
Take home percentage: {{ calc.totals.peopleCombined.takeHomePercentage * 100 | number : 2 }}%
{{ calc.notes }}


WAR: WHAT IS IT GOOD FOR?
Saving Private Ryan A Film Review By Michael Redman Copyright 1998 By Michael Redman
***1/2 (out of ****)
There are times in most people's lives for which they are completely unprepared: nothing they have ever done seems relevant to the experience. Extraordinary situations sometimes force ordinary people into a mental state on automatic with no time to think. The most extreme of these circumstances is probably war.
Near the beginning of the film is 25 minutes of pure hell. As troop-carrying ships land on Omaha Beach in Normandy on June 6, 1944, the boys in uniform are vomiting and shaking. When the doors open, they don't even get the chance to leave the boats before they are cut to pieces by Nazi machine guns. The air support that was supposed to have taken out the German weapons missed their targets and the shore becomes a slaughterhouse.
Captain John Miller (Tom Hanks) is one of the few that survive the carnage. The next day he's given an odd mission. Three out of four Ryan brothers were killed in the war and their mother in Iowa got all three telegrams on the same day. General George Marshall is determined to send the remaining brother, James Ryan (Matt Damon), back home and assigns Miller to the rescue operation.
The Captain assembles a small unit of men and sets off through occupied France to find the boy. The problem is that Ryan parachuted into the area. The paratroopers were scattered all over the countryside and no one knows where anyone is.
The beach battle and a later one defending a bridge are as close as I want to come to actual combat. The horror is indescribable and the filmmaking exceptional. The camera follows one soldier, moves across the scene to another while obscenities form the background.  Others writhe in pain with gaping holes in their bodies.
These are probably the most realistic WWII battle scenes ever filmed. As in the Vietnam films "Platoon" and "Apocalypse Now", we get a glimpse of what war is actually like. There are no John Waynes here, only civilians forced into a situation where no one knows what is going on and they are trying to make it through alive. During the landing, there are no viable options. There is no place to retreat to. To stay where they are is certain death. To advance into the machine gun fire is lunacy. The men are so shell-shocked that when Germans surrender, they are shot down.
The scenes between the two major battles are not as captivating. With a couple of exceptions, Miller's men are cliches: a New York Irish smart-aleck, a southern Bible-quoting sharpshooter, a Jew, a tough Sergeant and so on. While they are fleshed-out somewhat and become real people as the film progresses, they begin as the same guys you see in every war film.
One of the exceptions is Upham (Jeremy Davies), a translator who has never seen combat and is picked for the squad because he speaks German and French. The most human of the group, he is scared to death. In a particularly terrifying scene, he is carrying ammunition and cowers behind a wall as several enemy soldiers are on the other side. Later he freezes in fear on a stairway as a German walks by, ignoring him because he is inconsequential. Although he is everyman, he is also the most easily despised.
There are apalling scenes that will stay with the audience for a long time. One especially excruciating one is a close-up of a German slowly sliding a knife into the chest of one of the soldiers.
The cinematography is phenomenal. Janusz Kaminski, who also shot "Shindler's List" uses a personal point of view with muted colors, hand-held cameras and various film stocks to give us the feel of battle.
The sound is also spectacular. During the fighting, there is no music. Especially effective are the times where the sound turns into a roar or becomes complete silence.
There are a few things that don't work or don't make sense. Marshall's reason for risking eight men to save one is unclear. Is it a whim based on his obsession with Lincoln's letter to a soldier's mother or is it true compassion? The question of the worth eight men versus that of one is the primary focus of the film, but is never answered.
Towards the end of the film, Miller whispers something to Ryan. What he says is a key point in the movie, but it is barely intelligible. After the utterance, I saw half the audience turn to the other with "What did he say?"
The framing episodes in modern France are needless and add nothing to the movie other than emotional manipulation.
Even with these problems, the incredible scenes make this a must-see.
Also troubling is the consequences of mercy. One soldier attempts to rescue a French child.  Both of these acts have disastrous results ending with deaths. The message seems to be that kindness during times of war is fatal.
Director Steven Spielberg seems determined to write history. As our society knows less and less about the past, he is apparently aware of the power of cinema. With this, "Shindler's List", "Empire Of The Sun", "The Color Purple" and "Amistad" our view of history is being formed by one man. The Normandy invasion will forever be defined by "Saving Private Ryan" in the minds of the movie-going public.
(Michael Redman has written this column for over 23 years and still hasn't had the space to tell of the fire scare during an IMax showing of "Titanic". Maybe next week...)
[This appeared in the 7/30/98 "Bloomington Voice", Bloomington, Indiana. Michael Redman can be contacted at<EMAIL_ADDRESS>--<EMAIL_ADDRESS>This week's film review at http://www.bvoice.com/ Film reviews archive at http://us.imdb.com/M/reviews_by?Michael%20Redman
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


ERROR: This page was generated by inheriting from "layout.html".
Furo (the documentation theme that this site is generated with) does not support this, and has generated this page. If you are the author of this documentation, please look into why this page was generated using the "layout.html" template and fix the root cause.
Debugging information, if you need to report this error somewhere:Sphinx: {{ sphinx_version }} Furo: {{ furo_version }} pagename: {{ pagename }}


Programmer's Guide to the Java 2D API
Java SE
1.4 version
April 24, 2001
|
|
f| Contents | Previous | Next |
Enhanced
Graphics, Text, and Imaging
Rendering
Model
Coordinate
Systems
Transforms
Fonts
Images
Fills and
Strokes
Composites
The Java
2D API Packages
Interfaces and
Classes
Rendering
Concepts
Rendering
Process
Controlling
Rendering Quality
Stroke
Attributes
Fill
Attributes
Clipping
Paths
Transformations
Composite
Attributes
Setting Up the
Graphics2D Context
Setting Rendering
Hints
Specifying Stroke
Attributes
Specifying Fill
Attributes
Setting the
Clipping Path
Setting the
Graphics2D Transform
Specifying a
Composition Style
Rendering Graphics
Primitives
Drawing a
Shape
Filling a
Shape
Rendering
Text
Rendering
Images
Defining Custom
Composition Rules
Rendering in a
Multi-Screen Environment
Interfaces and
Classes
Geometry
Concepts
Constructive Area
Geometry
Bounds and Hit
Testing
Combining Areas to
Create New Shapes
Creating a Custom
Shape
Interfaces and
Classes
Font
Concepts
Text Layout
Concepts
Shaping
Text
Ordering
Text
Measuring and
Positioning Text
Supporting Text
Manipulation
Performing Text
Layout in a Java Application
Managing Text
Layout
Laying Out
Text
Displaying Dual
Carets
Moving the
Caret
Hit
Testing
Highlighting
Selections
Querying Layout
Metrics
Drawing Text
Across Multiple Lines
Implementing a
Custom Text Layout Mechanism
Creating Font
Derivations
Interfaces and
Classes
Imaging
Interfaces
Image Data
Classes
Image Operation
Classes
Sample Model
Classes
Color Model
Classes
Exception
Classes
Immediate Mode
Imaging Concepts
Terminology
Using
BufferedImages
Creating a
BufferedImage
Drawing in an
Offscreen Buffer
Manipulating
BufferedImage Data Directly
Filtering a
BufferedImage
Rendering a
BufferedImage
Managing and
Manipulating Rasters
Creating a
Raster
Parent and Child
Rasters
Operations on a
Raster
The
WritableRaster Subclass
Image Data and
DataBuffers
Extracting Pixel
Data from a SampleModel
ColorModels and
Color Data
Lookup
Table
Image Processing
and Enhancement
Using an Image
Processing Operation
Classes
Color
Concepts
Describing
Colors
Mapping Colors
through sRGB and CIEXYZ
Interfaces and
Classes
Printing
Concepts
Supporting
Printing
Page
Painters
Printable Jobs
and Pageable Jobs
Typical
Life-Cycle of a PrinterJob
Dialogs
Printing with
Printables
Using Graphics2D
for Rendering
Printing a
File
Printing with
Pageables and Books
Using a Pageable
Job
Using Multiple
Page Painters
| Contents | Previous | Next |
|


Quote the parameter to -name so the shell won't interpret it.
find . -name *.txt
find . -name '*.txt'
Several find options take patterns to match against, including -ilname
, -iname
, -ipath
, -iregex
, -iwholename
, -lname
, -name
, -path
, -regex
and -wholename
.
These compete with the shell's pattern expansion, and must therefore be quoted so that they are passed literally to find
.
The example command may end up executing as find . -name README.txt
after the shell has replaced the *.txt
with a matching file README.txt
from the current directory.
This may happen today or suddenly in the future.
None.


You can now use the API to manage the setting for requiring signed commits on protected branches.
Custom media type: zzzax-preview Announced: 2018-02-22
zzzax-preview


Pierce Brosnan’s sons named Golden Globe Awards ambassadors
by JONATHAN LANDRUM Jr.LOS ANGELES (AP) - Pierce Brosnan’s sons have been chosen as the Golden Globe ambassadors to assist with the glitzy awards ceremony.
The Hollywood Foreign Press Association announced Thursday evening that 22-year-old Dylan and 17-year-old Paris Bronsan will assume the ambassador roles for the 77th annual Golden Globes Awards in January.
An ambassador is traditionally the child of a celebrity who assists with award presentations, handing out trophies to winners and escorting them off stage.
TOP STORIES
Franklin Graham calls on nation to pray for Trump as impeachment effort gains speed
Skeptics chuckle as climate activist Greta Thunberg sets sail for Europe on 'plastic yacht'
Bill Clinton offers Trump advice on impeachment
Dylan and Paris are the first male ambassadors after the HFPA rechristened the role, formerly known as Miss Golden Globe, in 2017. The association wanted to expand the role to help recognize the HFPA’s philanthropic efforts throughout the year.
Previous ambassadors include Idris Elba’s daughter Isan Elba and Dwayne “The Rock” Johnson’s daughter, Simone Garcia.
The Golden Globes ceremony will be held at the Beverly Hilton Hotel in Beverly Hills, California, on Jan. 5. Nominations for the show, which honors achievements in film and television, will be announced on Dec. 9.
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


Strike off and dissolution
A to Z
Forms for limited companies
A to Z
-
Accounts
-
Annual return
-
Change of registered office
-
Change of name
-
Change of constitution
-
Company records
-
Directors and secretaries
-
Strike off and dissolution
-
Incorporation
-
Investment companies
-
Mortgage for charges created on or after 6 April 2013
-
Mortgage for charges created before, on or after 6 April 2013
-
Mortgage for Scottish company charges created before, on or after 6 April 2013
-
Opening of overseas branch register
-
Other appointments
-
Receivers and managers
-
Registrar's powers
-
Voluntary translation
-
Re-registration
-
Resolutions
-
Restoration
-
Share capital
All categories
- Forms for limited companies
- Forms for limited liability partnerships
- Forms for limited partnerships
- Forms for overseas companies
- Forms for European company Societas Europaea
- Forms for European Economic Interest Groupings
- Forms for cross border mergers
- Forms for other company legislation and registration acts
- Forms for insolvency
- Bilingual forms (Engligh/Welsh) for limited companies and limited liability partnerships


Learn more about .NET Core at https://aka.ms/dotnet-docs . Use dotnet --help to see available commands or go to https://aka.ms/dotnet-cli-docs.
The .NET Core tools collect usage data in order to improve your experience. The data is anonymous and does not include command-line arguments. The data is collected by Microsoft and shared with the community. You can opt out of telemetry by setting a DOTNET_CLI_TELEMETRY_OPTOUT environment variable to 1 using your favorite shell. You can read more about .NET Core tools telemetry at https://aka.ms/dotnet-cli-telemetry.
A command is run in the end of install process to initially populate your local package cache, to improve restore speed and enable offline access. This command will take up to a minute to complete and will only happen once.


Total number of namespaces
{{summary.data[0].value}}
Number of instances
{{summary.data[1].value}}
Number of streams
{{summary.data[2].value}}
Number of watchlists available in this website
{{summary.data[3].value}}
Currently running watchlists
{{summary.actvwatchlist}}


- selectTarget(int) - Method in class Magic.Personal.Field
-
select a target on the field
- selectTarget(Spell) - Method in class Magic.Personal.Field
-
select a target on the field
- setAttacco(int) - Method in class Magic.Cards.Creature
-
setter of attack
- setAttacco(int) - Method in interface Magic.Cards.Permanent
-
- setCostituzione(int) - Method in class Magic.Cards.Creature
-
setter of costituzione
- setCostituzione(int) - Method in interface Magic.Cards.Permanent
-
- setDamage(int) - Method in class Magic.Cards.Creature
-
setter damage of the card
- setDamage(int) - Method in interface Magic.Cards.Permanent
-
- setEnd() - Method in class Magic.Game.Game
-
setter of parameter End to true.
- setGame(Player, Player) - Method in class Magic.Game.Game
-
setter of players and standard execution of this class.
- setLimit(int) - Method in class Magic.Personal.Hand
-
setter of limit
- setName(String) - Method in class Magic.Personal.Deck
-
setter of the name of deck
- setOpponent(Player) - Method in class Magic.Personal.Player
-
setter of the opponent
- setOwner(Player) - Method in class Magic.Cards.Afflict
-
Set the owner of this card
- setOwner(Player) - Method in class Magic.Cards.Creature
-
Set owner of the card
- setOwner(Player) - Method in class Magic.Cards.Fatigue
-
setter of owner of this card
- setOwner(Player) - Method in class Magic.Cards.Instant
-
Set owner of the card
- setOwner(Player) - Method in class Magic.Cards.Sorcery
-
Set owner of the card
- setOwner(Player) - Method in interface Magic.Cards.Spell
-
- setSave(ArrayList<Command>) - Method in class Magic.Cards.Instant
-
Set save of the card
- setSave(ArrayList<Command>) - Method in class Magic.Cards.Sorcery
-
- shuffle() - Method in class Magic.Personal.Deck
-
shuffles the deck.
- sizeDeck() - Method in class Magic.Personal.Deck
-
- sizeMano() - Method in class Magic.Personal.Hand
-
size of the hand (number of cards)
- SkipPhase - Class in Magic.Game
-
- SkipPhase() - Constructor for class Magic.Game.SkipPhase
-
- sleep() - Static method in class Magic.Utils.Time
-
Waits!
- solveDamage() - Method in class Magic.Cards.Creature
-
calculate total damage to be received
- solveDamage() - Method in interface Magic.Cards.Permanent
-
- solveDamage() - Method in class Magic.Personal.Player
-
solves the damage
- Sorcery - Class in Magic.Cards
-
- Sorcery() - Constructor for class Magic.Cards.Sorcery
-
- Spell - Interface in Magic.Cards
-
- StapPhase - Class in Magic.Game
-
- StapPhase() - Constructor for class Magic.Game.StapPhase
-
- start(Player) - Method in class Magic.Game.CombatPhase
-
starts this phase execution
- start(Player) - Method in class Magic.Game.DrawPhase
-
starts this phase execution
- start(Player) - Method in class Magic.Game.EndPhase
-
starts this phase execution
- start(Player) - Method in class Magic.Game.MainPhase
-
starts this phase execution
- start(Player) - Method in interface Magic.Game.PhaseInterface
-
- start() - Method in class Magic.Game.PhaseManager
-
starts the execution of the list of phases.
- start(Player) - Method in class Magic.Game.SkipPhase
-
does nothing (Null object
- start(Player) - Method in class Magic.Game.StapPhase
-
starts this phase execution
- start() - Method in class Magic.Game.Turn
-
starts the execution of turns.
- startGame() - Method in class Magic.Game.Game
-
this method starts the effective game.
- startingDeck() - Method in class Magic.Personal.Player
-
sets the starting deck of the player
- startPhases() - Method in class Magic.Personal.Player
-
starts the turn of the player


Inquest opened following death of a man in Swadlincote
The case has now been adjourned
by Nick ReidAn inquest has been opened following the death of a man in Swadlincote.
Derby Coroners' Court heard how Alan Whyatt died on November 16 and was found by his brother at an address in Ernest Hall Way in the town.
Dr Robert Hunter, senior coroner for Derby and Derbyshire, said he had been "drinking and using heroin and crack cocaine" in the previous 24 hours before his death.
Dr Hunter also read out a pathologist's report during the hearing which stated that the cause of death "awaits further tests".
The hearing was told Mr Whyatt, of no fixed abode, was born on March 21, 1978, and had been a ground worker.
Speaking during the hearing Dr Hunter said: "Alan Whyatt had been drinking and using heroin and crack cocaine in the previous 24 hours before his death.
"He had fallen asleep. Someone went to wake him and found he wasn't breathing.
"I adjourn the inquest and expect a police report within the next eight weeks."


Class containing information about a news and methods related to news gameobject.
More...
|
| | News (uint id, string title, string content, float posX, float posZ, uint nbOfView, uint nbComment, DateTime date, List< string > tags, List< Media > media) |
| | Initializes a new instance of the News class. More...
|
| |
|
uint | GetId () |
| |
|
uint | GetDist () |
| |
|
string | GetTitle () |
| |
|
string | GetContent () |
| |
|
Vector3 | GetPos () |
| |
|
List< string > | GetTags () |
| |
|
DateTime | GetDate () |
| |
|
List< Media > | GetMedia () |
| |
|
string | GetTagsToString () |
| |
|
override string | ToString () |
| |
|
void | GenerateNewsGameObject (Transform parent) |
| |
|
Color | GetNewsColor () |
| |
|
|
uint | nbOfView |
| |
|
uint | nbComment |
| |
Class containing information about a news and methods related to news gameobject.
◆ News()
| Assets.Scripts.Core.News.News |
( |
uint |
id, |
|
|
string |
title, |
|
|
string |
content, |
|
|
float |
posX, |
|
|
float |
posZ, |
|
|
uint |
nbOfView, |
|
|
uint |
nbComment, |
|
|
DateTime |
date, |
|
|
List< string > |
tags, |
|
|
List< Media > |
media |
|
) |
| |
Initializes a new instance of the News class.
- Parameters
-
| id | News ID on database. |
| title | News title. |
| content | News content. |
| posX | The position x in the game world of the news. |
| posZ | The position z in the game world of the news. |
| nbOfView | The number of views. |
| nbComment | The number of comments. |
| date | The creation date of the news. |
| tags | The tags associate to the news. |
| media | The Media associate to the news. |
◆ NewsGameObject
| GameObject Assets.Scripts.Core.News.NewsGameObject |
|
get |
Reference to the news gameobject related to this News instance.
The documentation for this class was generated from the following file:
- D:/Damien/Bureau/NEWSVR/Assets/Scripts/Core/News.cs


David Felipe Niño Romero
Home
About
Career
Skills
Most interesting clases and some work experience.
Java
90%
Python
60%
SQL
50%


Displays and removes messages in the message area of the status bar. MESSAGE is useful for displaying text that doesn't need a response, such as descriptions of commands in user-defined menus.
Syntax
MESSAGE(logical, text)
Logical is a logical value specifying whether to display or remove a message.
If logical is TRUE, Microsoft Excel displays text in the message area of the status bar.
If logical is FALSE, Microsoft Excel removes any messages, and the status bar is returned to normal (that is, command help messages are displayed).
Text is the message you want to display in the status bar. If text is "" (empty text), Microsoft Excel removes any messages currently displayed in the status bar.
Remarks
Only one message can be displayed in the status bar at a time. Messages are always displayed in the same place.
MESSAGE works the same way whether the status bar is displayed or not. You can, for example, use MESSAGE while the status bar isn't displayed. As soon as you display the status bar, you see your message.
If you display any message (even empty text) and don't remove it with MESSAGE(FALSE), that message is displayed until you quit Microsoft Excel.
You can also use the ALERT function to get the user's attention; however, this interrupts the macro and requires the user's intervention before the macro can continue.
Example
The following lines in a macro display a message warning that you must wait for a moment while the macro calls a subroutine.
MESSAGE(TRUE, "One moment please...")
Related Functions
ALERT Displays a dialog box and a message
BEEP Sounds a tone
Return to index


Steem is an exceptional blockchain which features instant feeless exchange transactions, secure JSON data store, inbuilt escrow, onchain monetization as well as has a social tune.
See what the Institute doesSteem is a blockchain built on the Proof of Brain concept. The basic idea is that you post content, if community appreciate your work they vote it. A vote allocates the receiver a portion of the daily minted Steem tokens, proportional to the weight of Steem tokens the voter has reserved as Steem power.
Since its inception, tens of millions of dollars have been rewarded to content creators. The most common form of content on Steem is blog; there are video, audio and gaming content as well.
Steemit is the most popular interface to the Steem blockchain. Busy, Steem Peak, Wordpress's Steem Press plugin as well as mobile apps such as Esteem and Parkito are popular as well.
Some exchanges which support Steem include Block Trades, Bittrex, Polonix, Binance, Open Ledger and HitBTC.
Specialized clients include the open source contributions rewarding platform Utopian, a video sharing site, DTube, a peer to peer collaborations site, Peer Query, a QA site, Musing. There is also product hunt site Steem Hunt, an Instagram-like app, Steepshot, as well as a music service app called DSound.
Smart Media Tokens(SMTs) is a major development breakthrough for the Steem blockchain. It will allow users to create their own custom tokens to use used just like Steem or to be used as a crowd fund raiser.
Steem is several times faster than Bitcoin and Ethereum, is built on Graphene which is capable of 100,000 transactions per second. The average confirmation time on Steem is only 3 seconds. There are over a million Steem accounts with tens of millions of dollars paid out to users.
Steem has everything to make it the next frontier of the web. Steem offers not just content monetization solutions, but also data integrity, a secure financial system, community and more.
To know more about Steem, read the white paper, the blue paper and the Smart Media Tokens paper. You can also visit the Steem website, the Block Explore 1 and Explorer 2, the developer portal, the SMT portal or the wiki.
At the Institute, we pursue initiatives that make the Steem blockchain more accessible to the world by building businesses and applications on it, while promoting potential to various industries.
We provide support and counseling services to businesses and organizations that seek to integrate the Steem Blockchain into their products and systems.
We are open to support and partnership from the community and beyond. Get in touch with use by email at steeminstitute [at] gmail.com.
Read from the pool of community papers.
| Name | Account | Role |
|---|---|---|
| Makafui George Dzivenu | @dzivenu | Director |
| Transisto | @transisto | Supporter |


The investigation was launched in August when two seminarians said in social media posts that St. John's Seminary in Brighton tolerated illicit sexual behavior and excessive alcohol consumption.
The archdiocese said in a statement Friday the investigation also found inadequate and sometimes absent leadership and oversight, which contributed to a lack of robust financial controls and a low tolerance for dissenting views.
Cardinal Sean O'Malley in a statement said many of the recommendations in the final report have already been implemented.
Former U.S. Attorney Donald Stern led the investigation.


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 144837PRreviews/63887593AdddefaultsetupforVSCode.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/144837-PR-reviews/topic/.23593.20Add.20default.20setup.20for.20VS.20Code.html


{% if manual_mail %}
There was an error, please send the email manually by clicking here
{% else %}{% include 'header.html' %} {% include 'nav.html' %}
There was an error, please send the email manually by clicking here
{% else %}


Derek Eder
@derekeder
Coming up, a demonstration of dedupe w @JeffErnsthausen, @forestgregg & @evanzanten
http://datamade.us/data-tools/entity-focused-data-system/
Intl. 10 at 10:10a
#NICAR15
3/8/2015, 9:00:30 AM
Favs: 1
Retweets: 3
link


Property Class
A Property is a name value pair belonging to a Model.
Constructor
Property
-
name
-
value
-
parent
-
metadata
Parameters:
-
name
StringThe name of the property
-
value
String, Boolean, Number, null, Date, Function, ObjectThe Property Value
-
parent
[Model]The parent property
-
metadata
ObjectThe metadata associated with the property. You can put any metadata you want. However the following keys have special meaning and are reserved for use by the framework. validator - a function to validate if the new value is valid before it is assigned. url - the resource this model should use to get it's value. Resource must return json. Must be used with refreshRate refreshRate - the interval used to query the url for changes. must be > 0. minimal value used is 100. -1 indicates to only fetch value once. Must be used with url
Item Index
Methods
destroy
-
suppressNotifications?
Removes the property and its children if any from the Model. This will fire the 'destroy' event on this and the 'childDestroyed' event on the parent.
Parameters:
-
suppressNotifications?
Booleanindicates if listeners should be notified of destroy.
Returns:
getFormattedValue
()
Any
Return the formatted value calculated by passing this.getValue() to the this.getMetadata().Formatter function if it exists. If the metadata Formatter does not exist it will fall back to the global Formatter located at Model.Formatter. If that does not exist it will return this.getValue();
Returns:
getMetadata
()
Object
Retrieves the metadata associated with this. The metadata is persisted with the json when you pass true to the toJSON method (eg. this.toJSON(true)). Likewise the metadata will be restored when creating a model from the very same json. Note: the modeljs framework uses the metadata to store attributes associated the properties that is uses. As a result the following keys have special meaning. [validator, Formatter, name, url, refreshRate, isJSONPurl, doNotPersist, doNotPersistValue, thin]
For example see: testGetMetadataMethod
Returns:
getName
()
String
The fully qualified name of this. The name is calculated by concatenating the name of the parent, "/", and name of this AKA the shortName. To create a named root pass in the name option key to the Model Constructor.
Returns:
Example:
defaultModel.getName(); // returns "/root"
defaultModel.property1.getName(); // returns "/root/property1"
namedRoot.property1.getName(); // returns "/customName/property1"
For more examples see: testGetNameMethod
getShortName
()
String
The given name of the property.
Returns:
getValue
()
String, Boolean, Number, null, Date, Function
Gets the value of the property.
Returns:
hasValidator
()
Boolean
Determine if this has a validation function associated with it.
Returns:
Example:
For examples see: testPropertyValidationFunction
off
-
events
-
callback?
Removes all instances of the given callback on the given events on this.
Parameters:
-
events
StringOne or more space separated eventNames
-
callback?
FunctionThe function to remove. if not specified all callbacks are removed
Returns:
on
-
events
-
callback
Registers the given callback with the given events on this. When the callback is executed it will have it's 'this' context bound to this (ie. the property listening to the event). The first argument will be the property that triggered the event. In most cases these are the same property, unless the event is bubbling up the tree. The final argument is optional and varies depending on event type.
Parameters:
-
events
StringOne or more space separated eventNames
-
callback
FunctionThe function to execute when the given event is triggered
Returns:
onChange
-
callback
-
listenToChildren?
Registers a callback function with the change event of this. When the callback is executed it will have it's 'this' context bound to this (ie. the property listening to the event). The first argument will be the property that triggered the event. The final argument be the oldValue before it was changed.
Parameters:
-
callback
FunctionThe function to be called if the value of this changes. The callback function will be passed the following arguments (oldValue, newValue, propertyName)
-
listenToChildren?
BooleanRegisters the callback with sub property changes as well.
Example:
model.onChange(callback, {listenToChildren: true}); //listens to change events on entire model
model.property1.onChange(callback) //listen to change on property1 only
model.subModel.onChange(callback) //listen to change on subModel only. (ie. via model.subModel.setValue(..))
For more examples see: testOnChangeCallbackWhenSettingToSameValue and testBubbleUpEvents
setValue
-
newValue
-
suppressNotifications?
Called to set the value of a property. If the setValue is the same as the current value, nothing will happen and no change events will be fired. If the value is different it must pass the validator if there is one. If it does pass the validator and the value is changed, all registered listeners will be notified unless the suppressNotifications option indicates otherwise.
Parameters:
-
newValue
String, Boolean, Number, null, Date, Function, ObjectThe Value you want to assign to the Property.
-
suppressNotifications?
Booleanindicates if listeners should be notified of change.
Returns:
Example:
For more examples see: testPrimitiveSetGet, testComplexChangePropertyValue and testSuppressNotifications
trigger
-
eventName
-
...eventArgs?
Triggers the given event on this. Passing the optional argument.
Parameters:
-
eventName
StringThe name of the event.
-
...eventArgs?
AnyAny number of additional parameters to pass to the registered event callback
Returns:
validateValue
-
value
Determines if the given value will pass the validation function of this.
Parameters:
-
value
String, Boolean, Number, null, Date, FunctionA value to test against the validation function if it exists.
Returns:
Example:
For examples see: testPropertyValidationFunction


DH_INSTALLCHANGELOGS(1) Debhelper DH_INSTALLCHANGELOGS(1) NAME dh_installchangelogs - install changelogs into package build directories SYNOPSIS dh_installchangelogs [debhelperÂ options] [-k] [-Xitem] [upstream] DESCRIPTION dh_installchangelogs is a debhelper program that is responsible for installing changelogs into package build directories. An upstream changelog file may be specified as an option. If none is specified, it looks for files with names that seem likely to be changelogs. (In compatibility level 7 and above.) If there is an upstream changelog file, it will be be installed as usr/share/doc/package/changelog in the package build directory. If the changelog is a html file (determined by file extension), it will be installed as usr/share/doc/package/changelog.html instead, and will be converted to plain text with html2text to generate usr/share/doc/package/changelog. FILES debian/changelog debian/NEWS debian/package.changelog debian/package.NEWS Automatically installed into usr/share/doc/package/ in the package build directory. Use the package specific name if package needs a different NEWS or changelog file. The changelog file is installed with a name of changelog for native packages, and changelog.Debian for non-native packages. The NEWS file is always installed with a name of NEWS.Debian. OPTIONS -k, --keep Keep the original name of the upstream changelog. This will be accomplished by installing the upstream changelog as changelog, and making a symlink from that to the original name of the changelog file. This can be useful if the upstream changelog has an unusual name, or if other documentation in the package refers to the changelog file. -Xitem, --exclude=item Exclude upstream changelog files that contain item anywhere in their filename from being installed. upstream Install this file as the upstream changelog. SEE ALSO debhelper(7) This program is a part of debhelper. AUTHOR Joey Hess<EMAIL_ADDRESS>9.20120909 2011-09-12 DH_INSTALLCHANGELOGS(1)


Guanacaste Province Costa Rica 2021
Modelled and photographed by Maxx Aguilar and Thavi Mouton Prints Available Here