by Simon Tatham
Hex editors have been around for a long time, and at the very basic level they are very simple to write. Since they are mostly used for editing files such as executables, which contain a lot of cross-references to particular byte positions in the file, a hex editor need not have an insert mode in order to be useful. And a hex editor without an insert mode is very easy to implement: you simply allocate a large enough array for the input file, and use that as your data structure. The only operation you really need to be able to do efficiently is to jump to a particular byte position, and that's precisely what an array makes easy.
On the other hand, an insert mode can be useful in other circumstances. Not all types of file you might want to edit have the same restrictions as an executable. And as soon as you want your hex editor to have an insert mode, the data structure question becomes much more interesting.
In this article I present an efficient and scalable data structure which supports all the operations needed by a hex editor.
One technique used to support insert mode in editors is to use an array larger than the file size, with a gap in it. The file contents up to the current cursor position are stored at the start of the array; the file contents from the current cursor position to the end are stored at the end of the array; and the gap in the middle moves about as the cursor does.
This makes insertion easy. When the user inserts an extra character, you just add it to one end or other of the gap. On the other hand, moving through the file now becomes a slow operation; it's not noticeable when you're moving by a byte, by a line, or even by a screenful at a time, but as soon as you try to jump to the start or end of the file, or jump to a particular specified file offset, suddenly the editor has to bodily shift enormous amounts of file data from one end of the gap to the other.
Another slightly better option is to use a linked list of small arrays, and to let the arrays vary in size between K and 2K bytes, for some fixed minimum block size K. Inserting a single byte in the middle of a block doesn't cost too much; occasionally the block will grow beyond size 2K and have to be split into two smaller ones, but even that isn't too slow.
Jumping to a particular position, however, is still an O(N) operation using this structure. In practice it isn't too bad, since the length of the linked list is at worst 1/K times the size of the file; but once the file size becomes seriously big, this approach does not scale well.
The common problem in both these methods is that as soon as you make insertion a constant-time operation, seeking to a given byte position becomes linear-time. Whereas in the original array format, of course, seeking was constant-time but insertion became linear-time.
This is where trees come in. Balanced tree structures (any of AVL trees, red-black trees and B-trees) all solve this sort of problem for sorted lists. You can insert an element into a balanced tree in log time, and you can search for a particular element in log time as well. This sounds like the kind of compromise we want: if making insertion constant-time forces seeking to be linear and vice versa, we would prefer to arrange for both to be log-time.
The conventional use of a balanced tree to store a sorted list, however, is not immediately helpful to us. The only criterion we could reasonably sort on would be byte position in the file; and as soon as we store our data as a set of (position, data) pairs, we're back to insertion being linear again, because we would have to alter the position field of every tree element after the insertion point.
Is there anything we can do to our balanced trees to make this work better?
Yes, there is.
Suppose you add an additional field to every node of a balanced tree. In that field, you store a count of the number of elements in or below that node.
Operations which alter the tree (insertion and deletion) now have to make sure these counts remain accurate. This can be done without sacrificing the log-time characteristics of the operations. For example, when you add an element, you increment the count of the node containing it, and then work back up the tree to the root incrementing the counts in all the nodes you go past. Since the height of the tree is O(log N), this only takes you O(log N) time.
So we can add counts to a tree and still maintain it efficiently. What have the counts bought us?
Once we have counts in a tree, they introduce an entirely new way to search the tree. Starting at the root, we can search down the tree by examining the count fields rather than comparing elements as usual; and this allows us to find the Nth item in the tree, for any N, in a single log-time search. For example, suppose the root tree node contains a child with count 54, then an actual element, then a child with count 73. Then:
So now we have a means of finding the Nth item in a tree in a log-time search. This is starting to look promising.
The trouble is, we're still stuck with having some sort of sorting order on the tree. Now we need to deal with that.
The simple answer to the sorting problem is to do away with sorting the tree at all!
Conventional balanced trees have a sorting order because it's used to find elements in the tree, and to know where to add an element. But we don't need a sorting order to find things any more, because we can use a count-based search to jump to the Nth position. Can we also use counts during the tree add operation, to allow us to specify where we want to add our new element?
We can. Tree add algorithms start by searching down the tree to find the position where the new element will be inserted. If we do this search using counts, in exactly the same way described in section 4, then we can add any element we like at any position in the tree. Once we do this, of course, we have to throw out the sorting order completely, and never do another order-based search or insertion again, because they won't work. But that's OK, because we didn't need them anyway.
Now we have exactly what we were after in the first place. We have a data structure which stores an unordered list of items, in such a way that we can insert or delete an item in log time and find the Nth element in log time.
Now we can begin to get more ambitious. One issue we have not addressed yet is cut and paste.
So far I have discussed tree insertion in the assumption that you only ever insert one character at a time into your tree. In fact hex editors need cut and paste just as much as normal text editors do; so we must think about how to insert or remove a larger block of data at a time.
One obvious way is to process each byte individually. A ten-byte cut operation is ten individual deletions, and a ten-byte paste is ten individual insertions. This is fine if you only ever use cut and paste to move tiny chunks of data around a large file, but if you need to move half the file from one place to another, things get more interesting.
The linked-list structure discussed in section 2 would have helped a lot with this problem. Linked lists don't just make it easy to insert or delete one item: they make it just as easy to unlink an enormous chunk of a list once you've found both ends of the chunk, and you can link that chunk in somewhere else easily as well.
It turns out that you can do the same thing with balanced trees. At this point it starts to make a difference what kind of balanced tree you use: all three of AVL, red-black and B-trees support these operations, but the precise methods vary between them. I'm going to use B-trees from here on, because the algorithms are slightly simpler.
What we need are two basic operations. Given a counted, unsorted B-tree containing an unordered list of items, we need to be able to:
This will provide all the operations we need. To unlink a large section from the middle of a tree, we split it in two places and then join the outer two parts back together; to link a large section into the middle of a tree, we split it at the insertion point, join the left half on to the left side of the inserted section, and join the right half on to the right side of the inserted section.
When you add an element to a B-tree, sometimes it ends up increasing the size of a leaf node beyond the size limit. When that happens, you deal with it by splitting the node in two, and transforming the parent node so that where it previously had a single child pointer, it now has two child pointers with an element between them. If that makes the parent node too big as well, you do the same thing again, and so on until you reach the tree root.
Joining two B-trees is therefore reasonably simple, if you have an additional separating element to place in between them. Position the two trees so that their leaf nodes are at the same level; now (usually) one tree will be shorter than the other. So you can add the root of the shorter tree as a sibling of the node next to it in the taller tree; their common parent gains one extra child pointer (pointing at the root of the shorter tree), separated from its neighbour by the additional separating element. If this causes the node to increase beyond the maximum size, just split it in two and propagate up to its parent, just as in the ordinary insertion process.
If the trees were originally the same height, just combine their root nodes into a single larger root node. You need an extra element to go in between the rightmost child pointer of the left-hand root node, and the leftmost child pointer of the right-hand root node; and again, this is where your separating element comes in. Again, if the new root is too big to be a single node, split it in two and create a new root above it.
So it turns out that it's very easy to join two trees together, but the algorithm requires a spare element to go in the middle. However, we normally don't have such a spare element: we just have two trees. This is easily solved, though: we simply start by removing the leftmost element of the right-hand tree using the ordinary tree deletion algorithm. Then we just do the join algorithm, as described above, using the element we just removed as our separator.
To split a B-tree in two: we are given a tree, and a means of searching down the tree to find the split point. (In this application, that will be a numeric position, which we check against the node counts on the way down; in other situations, we might perfectly well want to split an ordinary sorted B-tree in half, so we might have an ordering-based search criterion. It makes no difference.)
We start in the simplest possible way. Start at the root node; decide which of its subtree pointers you are going to descend down; and saw the node in half at that subtree pointer. The two half-nodes thus created will each need a subtree pointer to go on the cut end, but that's OK because we're about to saw the next node down in half as well and they can have half each. So descend to the next node, decide on a split point again, saw that node in half, and put a pointer to each half in the two halves of the parent node.
Once we finish this searching-and-cutting pass, we will have successfully separated our tree into two parts at the required point. However, the result will almost certainly not be a pair of valid B-trees; the chances are that many of the nodes on the cut edges will be below the minimum allowed node size. In fact, if at any point our search criterion made us descend through the endmost subtree pointer in any node, some of those nodes will have no elements in them whatsoever, just a single subtree pointer!
So now we must make a healing pass down the cut edge of each tree, to turn it back into a valid B-tree. We can start by throwing away the root node if it has nothing but a single subtree pointer (which will happen quite often if we split near one end of the original tree, since in that case the output trees will almost certainly need to be of different heights). Keep doing that until we find a real root node.
One child of that node is on the cut edge, so it may be below the minimum size. If it is, we solve this using its (valid) neighbour node. If the neighbour is large, we can move some subtrees over into the undersized node to make two correctly sized nodes; if the neighbour is too small and does not have that many subtrees to spare, we can instead combine the undersized node with its neighbour. (And it turns out you can always do at least one of these: if the neighbour is too large to combine with the undersized node, then it must have enough subtrees for redistribution to give two viable nodes.)
The only interesting case is that combining an undersized node with its neighbour reduces the number of subtrees of their common parent by one. Therefore:
Once we have sorted out each node, we descend to its child on the cut edge, and do the same thing again. Eventually we reach the bottom of the tree and every node is of valid size. Then we do the same thing to the cut edge of the other tree, and we're done.
The splitting and joining algorithms look as if they make cut and paste pretty much trivial. You can split a big chunk out of your editing buffer into a separate cut buffer easily enough; and then you can ‘paste’ it somewhere else by joining it back into the middle of the editing buffer at a different position.
However, in real life, cut and paste isn't that simple. People often want to paste the same data more than once; so you can't just link the cut buffer straight into the editing buffer, because then you don't still have it to link in again next time. You need to copy the cut buffer and link in the copy. Equally, users often want to press Copy rather than Cut, in which case you have to split the buffer tree in two places, copy the middle section, and join all three back together.
Copying a tree, it would seem, is inherently an O(N) operation; there's no way you can copy a tree containing megabytes of data without actually copying all that data.
Or is there?
It turns out that we can do better than this, by adding another annotation field to each tree node. This time, the annotation is a reference count: it counts the number of pointers to the node, either from other tree nodes or from the ‘root’ field in a tree header structure. To begin with, of course, all reference counts are 1.
Reference counts are normally used for garbage collection. In this case, though, I'm going to use them to implement copy-on-write. All of the tree-altering algorithms (insertion and deletion, plus the split and join algorithms described above) will now check the reference count of a node before attempting to modify it. If they find that they need to modify a node with a reference count greater than one, they will not modify it. Instead, they will make a copy of that node, and use the copy in place of the original. The copy links to all the same child nodes as the original, so the reference count in each child must be incremented; and the copied node's parent (or tree header structure) now links to the copy rather than to the original, so the reference count in the original must be decremented. Now we are looking at a node with a reference count of 1, which means nobody else is using it so we can modify it safely.
The effect of this is that it is now a trivial - not merely log-time but constant-time - operation to clone an entire B-tree, no matter how large. We simply create a new tree header structure; we point its root field at the root node of the input tree; and we increment the reference count on that root node.
Once we have cloned a tree like this, we can treat the original and the clone as if they were entirely independent. If you add an element to one of them, for example, then a single string of nodes from the root down to one leaf will be duplicated and modified, but the rest of the trees will still be held in common. You can split either tree into lots of little pieces, or join it into the middle of a larger one, and never affect the data stored in what was once its clone, because every time you touch a node that the other tree is depending on, you make your own copy rather than disturbing it.
This allows us to support really efficient cut and paste in our hex editor. You select a 200Mb chunk and press Copy; the buffer tree is split in two places (in log time), the middle section is cloned (instantly), and the tree is joined back together. You'd hardly know anything was different - but the cut buffer now contains a clone of part of the original buffer, most of which consists of nodes that are still shared with it. And you can paste in as many copies as you like of that chunk, still in no worse than O(log N) time. The best bit is that by the time you've done this a few times and have a file that's 1600Mb longer than it started out, the hex editor isn't actually using up 1600Mb more memory, because most of it is in shared nodes! This technique naturally provides a form of compression as well as being fast.
In all of the above I have been tacitly assuming that the data elements stored in my tree are individual bytes. This would be hideously inefficient if I were using AVL or red-black trees, in which each node contains precisely one element: for every byte of the file being edited, there would be an overhead of two child pointers, a byte count and a reference count. On a normal 32-bit machine, that's 20 bytes per node, not counting overhead from the memory allocator. A factor of twenty is just ridiculous.
B-trees are a bit more flexible, since they can be made to have a large minimum degree. A B-tree with a minimum node size of (say) 512 can contain up to 1023 bytes of data plus 1024 subtree pointers, and those 1023 bytes can be packed together in memory so the overhead is now more like a factor of five. Also, since no node in a B-tree ever changes its height above ground level, you can just not bother to allocate space for the 512 NULL child pointers in your leaf nodes, and since the vast majority of your nodes will be leaf nodes, the structure is now closer to being space-efficient.
There are other improvements one could make. For example, there's no reason why a B-tree really needs to have the same minimum node degree at every level; so you could have low-degree nodes everywhere above the leaf level, and enormous leaf nodes containing 4-8Kb of file data. You could move to B+ trees in which no actual data elements were stored anywhere except in the leaf nodes, thus saving the tiny alignment overheads in the other nodes.
However, there's a better direction to head in. In section 2 I mentioned the idea of using a linked list as the main data structure, and I said that each element of the linked list would be a smallish array of file bytes (between size K and 2K). There's no reason we couldn't do that in our B-tree-based approach: each element stored in the B-tree is no longer a single byte but a small block of bytes. It would mean that our element counts no longer allowed us to jump to the Nth byte, only to the Nth block; but we can fix that by replacing the element count with a byte count, summing the total size of all the blocks in or below a particular tree node. Now, given any byte position, we can do a single log-time search and return a data block plus an offset within that block.
This technique adds work to all operations. Inserting a byte, for example, is now done by finding the block it needs to go into, inserting it in that block, and potentially splitting the block into two and doing an extra tree operation. Splitting and joining buffers involves splitting and joining blocks at each end, and checking to make sure undersized blocks are not created. So what does this technique buy us, that makes it worthwhile over just storing single bytes in the B-tree?
The answer is: once we have a block data structure as our tree element, we can start having different types of block. In particular, we can have a type of block which is a placeholder, containing nothing but a file offset and length. A block of this type indicates ‘at this point in the tree we have N bytes from position P in the original file’. Blocks of this type are exempt from the normal maximum size for normal literal-data blocks.
The effect of this is that we no longer need to read the entire file into memory when we start up. Instead, we just initialise our tree trivially, so that it contains nothing but a single placeholder block, with offset zero and size equal to the initial file size.
Now whenever we need to read data from the tree, and it turns out the data in question is somewhere in a placeholder block, we must refer back to the original input file in order to find the data (and the placeholder block will tell us where in the file to read it from). So before we do any editing, our hex editor is suddenly a low-cost hex file viewer, which just pages back and forth and refers to the disk all the time.
But as soon as we start altering parts of the file, the placeholder block gets broken up into smaller blocks, and literal-data blocks begin to be created in between them. If we cut and paste a section including a placeholder block, then the tree can end up containing placeholder blocks in a strange order; it might (for example) indicate something like ‘the first 192K of the input file; then the literal bytes 5B 49 A7; then 25K of the input file starting from position 12345; then 512K of the input file starting from position 204325’.
Now the hex editor looks as if it's doing exactly the same thing as it did to begin with. I can page around the original file; I can insert, delete, overwrite, cut, copy and paste to my heart's content, and (provided no other process modifies the original file under our feet) the data I am manipulating will remain consistent at all times with the editing operations I have performed. But there wasn't a big delay at startup when the file was loaded in, because most of it wasn't loaded in; and if I list the running processes on my system, the hex editor will not be using memory proportional to the size of the file. It will only be using memory proportional to the changes I've made to the file.
When I save the file, if there are any placeholder blocks remaining in the buffer tree, the hex editor must write out the new version by referring to the original. This is the only remaining operation, apart from searching, that takes time proportional to the size of the file. And there are no remaining operations which take memory proportional to the size of the file.
(There is one thing you need to be careful of. Literal data blocks must be permitted to fall below the minimum size K if there is no literal block next to them to merge with; in particular, this is vital if you are writing a binary file from scratch or you would never be able to give it a size between zero and K. But this raises the possibility that given a pathological sequence of editing operations, your data structure might end up being an interleaving of one-byte literal blocks and one-byte placeholder blocks, giving a huge space overhead. The simplest solution to this is to impose a minimum size of 2K on placeholder blocks, below which you read the relevant piece of file data and convert them into literal blocks; then they can be merged with adjacent blocks and the worst case is no longer terrible.)
We now have a data structure which does pretty much everything you could reasonably ask a hex editor to be able to do, and does it all at a reasonable memory cost and (apart from the two genuinely necessary operations of searching and saving) all in O(log N) time.
The data structure as I have presented it is suitable for use in a high-performance hex editor with an insert mode.
There are a couple more points worth noting.
This structure would need only minor modifications to be an efficient basis for a conventional text editor. In order to do this, you would need to be able to jump quickly to a particular line of the file, which means you'd need a node annotation counting newlines.
In fact, it's possible to do slightly better than that: we can devise a more complex node annotation which tracks the effect of an arbitrary byte sequence on the (line, column) position. Assuming that a physical tab character always advances the cursor to the next multiple of 8 spaces, there are three possibilities:
These three function schemas are closed under composition (i.e. combining any two of them gives another one). Storing one in each node of a buffer tree would provide the ability to search directly to a particular (line, column) position in a single log-time search. So the text editor could treat its buffer as a simple sequence of bytes (or possibly of Unicode characters). This is superior to treating the buffer as a sequence of lines, because it removes the distinction between inserting within a line and inserting data between lines. In particular, cut and paste in a line-based model is fiddly because lines must be spliced together at each end of the pasted region; but cut and paste in this model is as trivial as it was in the hex editor - you just cut a sequence of bytes, paste it somewhere else, and the line/column indexing automatically keeps up no matter what you do.
The only snag is that if you did this, you would probably no longer be able to do the trick with placeholder blocks and lazy file loading; a text editor tends to need to know in advance where all the newlines are in its buffer, so there would probably be no alternative to physically loading the file. But in that, at least, this data structure is no worse than any other.
An undo function in an editor conceptually stores a sequence of previous buffer states, and allows you to return to one of them when you need to.
Usually, this is not actually implemented by storing copies of the entire buffer, since that would be ludicrously wasteful of space! Instead, a journal of changes is kept which allows previous buffer states to be reconstructed by reversing the precise changes made.
One could do that using this data structure, if one wanted to. However, there's another intriguing option. Since cloning an arbitrarily large tree is a cheap operation, you could implement undo by actually storing a sequence of clones of previous buffer states! The cost of this would be nothing like as bad as it would naïvely appear.
It might still not be ideal, though. Every time you clone a tree and the two clones diverge, several nodes must be copied, and if each node contains several blocks of literal data then the cost of maintaining too many buffer clones might still become prohibitive. But it's an interesting possibility regardless.
I've presented a design for a data structure which implements practically every operation required for a hex editor in O(log N) time, apart from one or two which genuinely need to be O(N).
The structure is:
As a result:
Searching must still be linear (there's no alternative to actually reading the data if you need to know anything about its contents), and saving the modified output file is linear (because you actually must physically write out that much data), but everything else can be done in log time.
I've also sketched a means of converting this into a data structure for an ordinary text editor, and suggested interesting implications in the area of undo operations.
Donald Knuth's ‘The Art of Computer Programming’ (Addison-Wesley, ISBN<PHONE_NUMBER>) presents at least some of the same ideas as this article. Counted and unsorted trees are mentioned in volume 3; splitting and joining are also described (although Knuth does them on AVL trees, which are significantly more fiddly to split than B-trees; you have to cut the tree into lots of little pieces, and then put them all back together by using the join algorithm repeatedly).
‘Tweak’, a hex editor implementing this data structure, can be downloaded at http://www.chiark.greenend.org.uk/~sgtatham/tweak/
.


| 16 | (A) | whilke beryn at this borde now bufete the laste |
| 16 | (C) | whycħ man here abowte . bobette þe laste |
| 16 | (D) | whicħ bierne here a-bout | buffetid þe laste |
| 16 | (E) | whiche man here abowte . bobbyd the last . |
| (Ex) | ---- no text ---- | |
| 16 | (L) | whiche man here aboute bolled þe laste |
| 16 | (P) | which beryn of þe borde buffett þe laste |
| 16 | (U) | Whiche beern here a-boute / bobbed the last |
| (V) | ---- no text ---- |


+++Web Scraping+++
Web Scraping (also termed Screen Scraping, Web Data Extraction, Web Harvesting etc.) is a technique employed to extract large amounts of data from websites whereby the data is extracted and save to a local file in your computer or to a database in table (spreadsheet) format.
The scraping process details and codes can be found in my project codes files.
Countries Data (5 countries 2014-2018)
Total Box Office Revenues 2018 (Unit: $Million)
Google Map JavaScript API: allows communication with Google Map Services and their JavaScript library.
Companies Data (3 major studios 2000-2018)


--- title: Model configuration as JSON type: docs repo: https://github.com/rstudio/keras menu: main: name: Model configuration as JSON - keras parent: keras-reference aliases: - /reference/keras/model_to_json.html - /keras/reference/model_to_json.html - /guide/keras/reference/model_to_json.html - /tools/tools/keras/reference/model_to_json.html - /installation/keras/reference/model_to_json.html - /tutorials/keras/reference/model_to_json.html - /guide/tools/keras/reference/model_to_json.html - /deploy/keras/reference/model_to_json.html - /tools/keras/reference/model_to_json.html - /tutorials/tools/keras/reference/model_to_json.html ---
Save and re-load models configurations as JSON. Note that the representation does not include the weights, only the architecture.
model_to_json(object)
model_from_json(json, custom_objects = NULL)
| object | Model object to save |
| json | JSON with model configuration |
| custom_objects | Optional named list mapping names to custom classes or functions to be considered during deserialization. |
Other model persistence:
get_weights()
,
model_to_yaml()
,
save_model_hdf5()
,
save_model_tf()
,
save_model_weights_hdf5()
,
serialize_model()


Transfer complete your games have been added
Instructions:
1) Check to make sure that all you games transfered correctly. Sometimes games with similar names get a bit mixed up
2) Rate as many transfered games as you want.
Understood
Can't find vanity name.


Just a quick note, though. There are many many possible languages out there to learn, but we'll only cover a few in our quiz. Also, while there may be one language that suits you best, it's not uncommon for programmers to learn several. You may find that you have to adapt to new languages for new jobs. Don't worry though! Many languages have similar rules and syntax, so once you've learned one, it's easier to transition to others.
Photo by Aleks Dorohovich on Unsplash
Aleks Dorohovich, you may enjoy learning Ruby! Ruby is used to make apps for Arduino and Raspberry Pi, and both New York city and Seattle have some of the highest salaries for Ruby developers according to ZipRecruiter. This language is used often by startups due to how easy it is to quickly build out projects. Some possible downsides to Ruby are that it is less ideal for creating mobile apps and there were only 4,617 job listings on glassdoor as of May 2020.
, you may want to consider becoming a Python developer! Python is widely used in Machine Learning and AI (Artificial Intelligence). According to an article by Code Platoon, Python currently has one of the highest number of job openings on average and Python developers are some of the best paid. Similarly to Ruby, Python is not ideal for mobile development, but if that's not your focus, it could be just the right language for you!
, C# may be the programming language for you! C# is used for Windows development and as of May 2020 there are a grand total of 35,887 job postings for C# developers on Glassdoor. According to Indeed, average salaries range from $76,309 to $132,322. Because this language is so widely used and has been around for a long time, it's well documented, with plenty of code samples out there to help new developers learn. Since Microsoft's headquarters are in Redmond, WA., you may have luck finding jobs for C# developers in Seattle!


The page you have tried to access could not be found. Please double check the URL or go back to the case list page.


Easier company life
Fully customized applications made with passion
Read more
Request a demo
About us
120+
Customers
200+
Developers
50
Projects
Projects
CRM
ERP
WEB
MOBILE
CLOUD
Market


responsable for loading and maintaining Amfphp configuration
Located in /Amfphp/Core/Config.php (line 19)
| Class | Description |
|---|---|
| TestServicesConfig | testing requires some services. They are described here. |
set to true if you want the service router to check if the number of arguments received by amfPHP matches with the method being called.
This should be set to false in production for performance reasons default is true
array of plugins that are available but should be disabled
array containing untyped plugin configuration data. Add as needed. The advised format is the name of the plugin as key, and then paramName/paramValue pairs as an array.
example: array('plugin' => array( 'paramName' =>'paramValue')) The array( 'paramName' =>'paramValue') will be passed as is to the plugin at construction time.
paths to the folder containing the plugins. defaults to AMFPHP_ROOTPATH . '/Plugins/'
paths to folders containing services(relative or absolute)
a dictionary of service classes represented in a ClassFindInfo.
The key is the name of the service, the value is the class find info. for example: $serviceNames2ClassFindInfo["AmfphpDiscoveryService"] = new Amfphp_Core_Common_ClassFindInfo( dirname(__FILE__) . '/AmfphpDiscoveryService.php', 'AmfphpDiscoveryService'); The forward slash is important, don't use "\'!
array containing configuration data that is shared between the plugins. The format is paramName/paramValue pairs as an array.
historically, amf0 is default, and amf3 is only used if amf3 is detected in the request.
Set this to true to override this behavior anf always use amf3. the default is false, as this can create some serious problems with amf clients that expect amf0 but receive amf3, even if they support it. This is the case for Flash's netconnection. To use amf0 this must be set to false. for example $this->sharedConfig[self::CONFIG_FORCE_AMF3] = false;
if true, there will be detailed information in the error messages, including confidential information like paths.
So it is advised to set to true for development purposes and to false in production. default is true. Set in the shared config. for example $this->sharedConfig[self::CONFIG_RETURN_ERROR_DETAILS] = true;
Documentation generated on Tue, 29 May 2012 23:42:02 +0200 by phpDocumentor 1.4.3


Use the form below to add your elasticsearch server used in stagemonitor and you are good to go! This will create a new datasource with the name "{{ctrl.datasourceName}}". Do not change the name as it is used for the dashboards. Edit the created datasource if you need to set advanced informations, e.g. regarding authentication.
Your datasource "{{ctrl.datasourceName}}" is configured. Edit the datasource if you need to set advanced informations, e.g. regarding authentication. Use the Dashboards-tab to import the stagemonitor-dashboards. Please note that you should only import the dashboards corresponding to the stagemonitor plugins you use.
| Grafana Dashboard | Required stagemonitor plugin |
|---|---|
| {{dashboard.name}} | {{dashboard.stagemonitorPlugin}} |


|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object atg.commerce.pricing.AggregatorManager
public class AggregatorManager
This class is responsible for keeping a track of the currently configured aggregators.
| Field Summary | |
|---|---|
static java.lang.String |
CLASS_VERSION
Class version string |
| Constructor Summary | |
|---|---|
AggregatorManager()
|
| Method Summary | |
|---|---|
AggregatorInfo |
calculate(java.lang.String pAggregator,
java.lang.String pOperation,
java.lang.Double pAggValueSoFar,
java.lang.Long pQuantityMatched,
java.lang.Double pTargetValue,
CommerceItem pItem,
java.util.Map pAttributes)
This method will call the correct aggregator based on the given pAggregator parameter. |
java.util.Set<java.lang.String> |
getAggregatorKeys()
Returns a list of the aggregator keys. |
ServiceMap |
getAggregators()
Get the aggregators. |
java.util.Set<java.lang.String> |
getOperations()
Returns a list of the combined operations that are available from all of the aggregators. |
java.util.Set<java.lang.String> |
getOverriddenProperties()
Returns a set of the properties that have been overridden by the aggregators. |
java.lang.String |
getPropertyAggregatorKey()
Get the property aggregator key. |
java.lang.String |
getQuantityAggregatorKey()
Get the quantity aggregator key. |
java.lang.String |
getTotalOperationName()
Get the total operation name property. |
boolean |
isPropertyAggregator(java.lang.String pValue)
Returns true if the given value indicates that it is
related to a property aggregator. |
boolean |
isValidAggregator(java.lang.String pAggregator)
Returns true if the aggregator has been registered,
false otherwise. |
boolean |
isValidOperation(java.lang.String pOperation,
java.lang.String pAggregator)
Returns true if the given operation is valid for the given
aggregator, false otherwise. |
java.lang.Number |
parseValue(java.lang.String pAggregator,
java.lang.String pValue,
java.lang.Class<?> pType)
Parses a string value and returns a Number representation. |
void |
setAggregators(ServiceMap pAggregators)
Setter for the aggregators property. |
void |
setTotalOperationName(java.lang.String pTotalOperationName)
Set the total operation name. |
protected void |
setupAggregatorKeys()
Sets the key names of the quantity and property aggregators based on the key defined in the aggregators map. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static java.lang.String CLASS_VERSION
| Constructor Detail |
|---|
public AggregatorManager()
| Method Detail |
|---|
public void setAggregators(ServiceMap pAggregators)
pAggregators
- map of aggregatorspublic ServiceMap getAggregators()
public void setTotalOperationName(java.lang.String pTotalOperationName)
pTotalOperationName
- the total operation namepublic java.lang.String getTotalOperationName()
public java.lang.String getQuantityAggregatorKey()
public java.lang.String getPropertyAggregatorKey()
protected void setupAggregatorKeys()
public java.util.Set<java.lang.String> getOperations()
public java.util.Set<java.lang.String> getAggregatorKeys()
public AggregatorInfo calculate(java.lang.String pAggregator, java.lang.String pOperation, java.lang.Double pAggValueSoFar, java.lang.Long pQuantityMatched, java.lang.Double pTargetValue, CommerceItem pItem, java.util.Map pAttributes) throws PricingException
pAggregator
- the name of the aggregator topOperation
- the operation to invoke on the aggregatorpAggValueSoFar
- the aggregated value so far, which may be potentially
derived from many calculations from multiple itemspQuantityMatched
- the number of items that have contributed to the
aggregated valuepTargetValue
- a value specified in the condition/offer of a promotion
which can be used as a target in relation to the aggregated value.
May or may not be relevant to an aggregatorpItem
- the item that is currently being evaluatedpAttributes
- extra parameters
PricingException
- if an error occurred whilst calculatingpublic java.util.Set<java.lang.String> getOverriddenProperties()
public boolean isValidOperation(java.lang.String pOperation, java.lang.String pAggregator)
true
if the given operation is valid for the given
aggregator, false
otherwise. Will also return false
if the aggregator has not been registered.
The total operation for the quantity aggregator is always valid, no matter if
the aggregator has been registered or not.
pOperation
- the name of the operation to validatepAggregator
- the name of the aggregator to validate
true
if the aggregator operation is valid, false
otherwisepublic boolean isValidAggregator(java.lang.String pAggregator)
true
if the aggregator has been registered,
false
otherwise.
The quantity aggregator is always valid, no matter if it has
been registered or not.
pAggregator
- the name of the aggregator to validate
true
if the aggregator is valid, false
otherwisepublic boolean isPropertyAggregator(java.lang.String pValue)
true
if the given value indicates that it is
related to a property aggregator.
pValue
- value to check
true
if it can be determined that the given
value relates to a property aggregator, false
otherwisepublic java.lang.Number parseValue(java.lang.String pAggregator, java.lang.String pValue, java.lang.Class<?> pType) throws java.lang.NumberFormatException
pAggregator
- the name of the aggregatorpValue
- value to be parsedpType
- class type of pValue
java.lang.NumberFormatException
- if pValue could not be parsed
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Dear Beloved One I am a citizen of Republic of Rwanda (Central Africa) I am from the province of Kigali,my late father was Lieutenant Kagame Karegeya,Director of External Intelligence at the Directorate of Military Intelligence (DMI).Rwanda who was murdered alongside with his personal Manager during the crises in Rwanda by his bossom Friend Mr.Mbundu a Rwandan businessman based in Kampala,Uganda over a Diamond Business when they seek refuge in his house. I know how strange and embarrassed you will feel about this letter since we have not met before.I am just an innocent victim of circumstance in my situation that is why I decided to contact you for an urgent assistance regarding my inherited funds which I will need an urgent assistance from you in order to relocate to your country. I had to contact you through this medium as the only option left for me due to its urgency for your co-operation to secure an opportunity through you to invest and secure permenent residence in your country. The capital which i will tell you when i get your reponds,is what I inherited from my late father which I honourably intend to invest in your country into a very lucrative business venture of which you are to advise and execute the said venture over there in your country for the mutual benefits of both of us. Your able co-operation is to become a channel and a partner through which this funds could be moved into your country, and also create an idea on how the money will be invested, properly managed and the type of investment after the money is transferred to your custody with your assistance. Meanwhile on indication of your willingness to handle this funds and the transaction sincerely by protecting my interests and upon your acceptance of this proposal I would furnish you with the full detailed information procedures involved and mutually agree on your percentage interest or share holding for helping me to secure the release of the deposit and investing the money. I shall be glad to reserve this respect and opportunity for you if you so desire but do urge you to give the matter your immediate attention it deserves because of my situation right now. Looking forward to hearing from you as urgent as possible. Yours Faithfully. Daniel Karegaye __________________________________________________


- On June 17, 1885, the Statue of Liberty arrived in New York Harbor, ready to serve as a powerful new national symbol. It marks the 130th anniversary of France delivering the statue to the United States.
- But when the statue reached New York, it wasn't certain that it would ever have a place to stand. That's because the pedestal was in the middle of an early crowdfunding campaign — years before the internet was a figment in anybody's imagination.
- With the rise of platforms like Kickstarter, Indiegogo, and Patreon, it's tempting to think of crowdfunding as an internet-only phenomenon. But the concept goes back a lot further than that.
- With the rise of platforms like Kickstarter, Indiegogo, and Patreon, it's tempting to think of crowdfunding as an internet-only phenomenon. But the concept goes back a lot further than that.


 Engage your clients through compelling visuals that do most of the marketing for you.
Learn moreUsing a collaborative formula of designers, researchers, photographers, videographers, and copywriters, we’ll build and extend your brand in digital places.
Learn moreGreat design makes you memorable. We deliver artwork that underscores your brand message and captures potential clients’ attention..
Increase your credibility by getting the most stunning, high-quality photos that improve your business image.
We put our trust in Sunnyside and they delivered, making sure our needs were met and deadlines were always hit.
Sunnyside’s enthusiasm coupled with their keen interest in our brand’s success made it a satisfying and enjoyable experience.
Incredible end result! Our sales increased over 400% when we worked with Sunnyside. Highly recommended!


The Gradle developers are usually available on IRC, on the #gradle channel at irc.codehaus.org.
#gradle
irc.codehaus.org


--- layout: post title: Documentation push categories: - documentation author: marcel published: true date: 2006-05-10 20:47:00.000000000 +01:00 ---
We’ve recently decided to put some work into Rails documentation. We’d like to flesh out the existing docs, add documentation for the corners that are lacking and update what may have gone stale.
Kevin Clark is leading up this campaign and would like to get the help of the community at large.
He’s got a write up that goes over how you can help Documenting Rails . It summarizes what we are looking for and gives basic instructions to get those who are interested in helping up and running. The main guidelines are:
Good documentation patches are right up there with good code patches. If you’d like to help out Rails while gaining a deeper understanding of how it works, taking part in this documentation project would be a great start.


This will improve your match results within the Persice community
Persice will never share your information or post on your behalf.
Your Twitter account
Your Linkedin account


Vince Staples shares “Yo Love” ft. 6LACK & Mereba from ‘Queen & Slim’ soundtrack
by Andrew SacherAs previously mentioned, there’s a new Vince Staples song on the Queen & Slim soundtrack, and that song, “Yo Love,” is out now. It features 6LACK and Mereba, and it sees Vince going in a chilled-out, soulful direction, which suits him well. Listen to that below.
The Queen & Slim soundtrack is out this Friday and also features Ms. Lauryn Hill, Megan Thee Stallion x VickeeLo, Lil Baby, Tiana Major9 & EARTHGANG, Coast Contra Ft. BJ The Chicago Kid, Blood Orange And Syd. Blood Orange also did the score, and the film was written by Lena Waithe (Master of None, The Chi) and directed by Melina Matsoukas (Insecure, Master of None, Beyonce videos). The film’s out November 27. Watch the trailer below.


bone.plot
(user_color
=None
, mesh
=False
, PCA_inv
=False
, PCA
=True
)
Plot voxels with optional PCA, and colours
user_color (tupple): RGB color of the bone where 1 is maxium
eg: red = (1,0,0)
PCA (boolean): plots the PCAs of the voxel
PCA_inv (boolean): plots the inverse of each PCA so the axes go in both directions


Classes
The following classes are available globally.
-
Interface for accessing AirshipExtendedActions resources.
See moreDeclaration
Objective-C
@interface UAExtendedActionsResources : NSObject
Swift
class UAExtendedActionsResources : NSObject
-
Links directly to app store review page or opens an app rating prompt.
This action is registered under the names rate_app_action and ^ra.
The rate app action requires your application to provide an itunes ID as an argument value, or have it set on the UARuntimeConfig instance used for takeoff. The itunes ID can be set on the UARuntimeConfig instance directly via UARuntimeConfig’s itunesID property, or by setting the itunesID as an NSString value in the AirshipConfig.plist under the key
itunesID
.Expected argument values:
show_link_prompt
:Required Boolean. If NO action will link directly to the iTunes app review page, if YES action will display a rating prompt. Defaults to NO if nil.link_prompt_title
: Optional String. String to override the link prompt’s title. Title over 24 characters will be rejected. Header defaults to “Enjoying?” if nil. link_prompt_body
: Optional String. String to override the link prompt’s body. Bodies over 50 characters will be rejected. Body defaults to “Tap Rate App to rate it on the App Store.” if nil.itunes_id
: Optional String. The iTunes ID for the application to be rated.Valid situations: UASituationForegroundPush, UASituationLaunchedFromPush, UASituationWebViewInvocation UASituationManualInvocation, UASituationForegroundInteractiveButton, and UASituationAutomation
Result value: nil
See moreDeclaration
Objective-C
@interface UARateAppAction
Swift
class UARateAppAction : UAAction


Home
About
Products
Contact
SignUp
Please Select the Products you want, and enter the following data to order!
Click the picture to see more details!
Product
Picture
Price
Order
Motorized Curtains
$200.00
Smart Fans
$60.00
Smart Lamps
$40.00
Smart TVs
$400.00
Laundary Machine
$600.00
Smart Cameras
$70.00
Smart Door Locks
$70.00
Smart Mattress
$700.00
Smart Plugs
$20.00
Smart Speaker
$40.00
First Name:
Last Name:
Address:
Phone:
Email:
Date of Order:
Method of Payment:
VISA
MaserCard
Paypal


Porac’s most wanted arrested
by Bernard GalangPampanga police operatives arrested last Thursday night the no. 1 most wanted person of Porac town, who was wanted for murder and violation of the anti-drug law.
Brigadier Gen. Rhodel Sermonia, Police Regional Office 3 (PRO3) director, identified the arrested suspect as Daryll Dela Cruz, 32, of Barangay Tokwing in Porac town.
Sermonia said Dela Cruz was one of the 24 suspects of various crimes that were arrested over the week: seven in Bulacan; four in Nueva Ecija; four in Pampanga; three in Bataan; three in Zambales; and one each in Aurora, Tarlac and Angeles City.
He said operatives from the Provincial Intelligence Branch of Pampanga police arrested Dela Cruz around 9:30 p.m. of November 7 at Jose Lapid District Hospital in Sacan, Porac by virtue of warrant issued by Third Judicial Region of Angeles City for murder and violation of the anti-illegal drug law.


PHY321: Classical Mechanics 1
Contents
PHY321: Classical Mechanics 1¶
Homework 2, due January 28 (Midnight)
Date: Jan 18, 2022
Practicalities about homeworks and projects¶
You can work in groups (optimal groups are often 2-3 people) or by yourself. If you work as a group you can hand in one answer only if you wish. Remember to write your name(s)!
Homeworks are available 10 days before the deadline.
How do I(we) hand in? You can hand in the paper and pencil exercises as a scanned document. For this homework this applies to exercises 1-5. The scanned document should be uploaded to D2L. Alternatively, you can hand in everyhting (if you are ok with typing mathematical formulae using say Latex) as a jupyter notebook at D2L. The numerical exercise(s) (exercise 6 here) should always be handed in as a jupyter notebook by the deadline at D2L.
Exercise 1 (10 pt), Forces, discussion questions, test your intuition¶
1a (2pt) Single force. Can an object affected only by a single force have zero acceleration?
1b (2pt) Zero velocity. If you throw a ball vertically it has zero velocity at its maximum point. Does it also have zero acceleration at this point?
1c (3pt) Acceleration of gravity. You measure the acceleration of gravity in an elevator moving at a velocity of 9.8m/s downwards. What will you measure?
1d (3pt) Air resistance. You throw a ball straight up and measure the velocity as it passes you on its way down. Will the velocity be larger, the same, or smaller if you did the same experiment in vacuum?
Exercise 2 (10 pt), setting up forces, Newton’s second law¶
Useful material here to read is
Taylor chapters 1.3 and 1.4 and
Malthe-Sørenssen chapters 5.1, 5.2 and 5.3
A person jumps from an airplane, falling freely for several seconds before the person pulls the cord of her parachute and the parachute unfolds.
2a (3pt) Identify the forces acting on the parachuter and draw a free-body diagram of the parachuter before the person has pulled the cord.
2b (3pt) Identify the forces acting on the parachuter and draw a free-body diagram of the parachuter after the person has pulled the cord.
2c (4pt) Sketch the net force acting on the parachuter as a function of time, F(t).
Exercise 3 (10 pt), Space shuttle with air resistance¶
Useful material here to read is
Malthe-Sørenssen chapters 5.1, 5.2 and 5.3
During lift-off of the space shuttle the engines provide a force of \(35\times 10^{6}\) N. The mass of the shuttle is approximately \(2\times 10^6\) kg.
3a (3pt) Draw a free-body diagram of the space shuttle immediately after lift-off.
3b (3pt) Find an expression for the acceleration of the space shuttle immediately after lift-off.
Let us assume that the force from the engines is constant, and that the mass of the space shuttle does not change significantly over the first 20 s.
3c (4pt) Find the velocity and position of the space shuttle after 20 s if you ignore air resistance.
Exercise 4 (15 pt), now hitting a golf ball¶
Useful material here to read is
Taylor chapters 1.3-1.6 and
Malthe-Sørenssen chapter 6.3-6.4 and 7.1-7.3
Taylor exercise 1.35. The formulae you obtain here will be useful for the numerical exercises below (see exercise 6 below).
Exercise 5 (15 pt), hitting a puck instead¶
Taylor exercise 1.38.
Exercise 6 (40pt), Numerical elements, moving to more than one dimension¶
This exercise should be handed in as a jupyter-notebook at D2L. Remember to write your name(s).
Last week we:
Analytically mapped 1D motion over some time
Gained practice with functions
Reviewed vectors and matrices in Python
This week we will:
Practice using Python syntax and variable manipulation
Utilize analytical solutions to create more refined functions
Work in two, three or even higher dimensions
This material will then serve as background for the numerical part of homework 3. The first part is a simple warm-up, with hints and suggestions you can use for the code to write below.
%matplotlib inline
# As usual, here are some useful packages we will be using. Feel free to use more and experiment as you wish.
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
%matplotlib inline
In class (the falling baseball example) we used an analytical expression for the height of a falling ball. In the first homework we used instead the position from experiment (Usain Bolt’s 100m record run) and stored this information with one-dimensional arrays in Python.
Let us get some practice with this. The cell below creates two arrays, one containing the times to be analyzed and the other containing the \(x\) and \(y\) components of the position vector at each point in time. This is a two-dimensional object. The second array is initially empty. Then we define the initial position to be \(x=2\) and \(y=1\). Take a look at the code and comments to get an understanding of what is happening. Feel free to play around with it.
tf = 4 #length of value to be analyzed
dt = .001 # step sizes
t = np.arange(0.0,tf,dt) # Creates an evenly spaced time array going from 0 to 3.999, with step sizes .001
p = np.zeros((len(t), 2)) # Creates an empty array of [x,y] arrays (our vectors). Array size is same as the one for time.
p[0] = [2.0,1.0] # This sets the inital position to be x = 2 and y = 1
Below we are printing specific values of our array to see what is being stored where. The first number in the array \(r[]\) represents which array iteration we are looking at, while the number after the represents which listed number in the array iteration we are getting back.
print(p[0]) # Prints the first array
print(p[0,:]) # Same as above, these commands are interchangeable
[2. 1.]
[2. 1.]
print(p[3999]) # Prints the 4000th array
[0. 0.]
print(p[0,0]) # Prints the first value of the first array
2.0
print(p[0,1]) # Prints the second value of first array
print(p[:,0]) # Prints the first value of all the arrays
1.0
[2. 0. 0. ... 0. 0. 0.]
Then try running this cell. Notice how it gives an error since we did not implement a third dimension into our arrays
print(p[:,2])
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
Input In [7], in <cell line: 1>()
----> 1 print(p[:,2])
IndexError: index 2 is out of bounds for axis 1 with size 2
In the cell below we want to manipulate the arrays. In this example we make each vector’s \(x\) component valued the same as their respective vector’s position in the iteration and the \(y\) value will be twice that value, except for the first vector, which we have already set. That is we have \(p[0] = [2,1], p[1] = [1,2], p[2] = [2,4], p[3] = [3,6], ...\)
Here we set up an array for \(x\) and \(y\) values.
for i in range(1,3999):
p[i] = [i,2*i]
# Checker cell to make sure your code is performing correctly
c = 0
for i in range(0,3999):
if i == 0:
if p[i,0] != 2.0:
c += 1
if p[i,1] != 1.0:
c += 1
else:
if p[i,0] != 1.0*i:
c += 1
if p[i,1] != 2.0*i:
c += 1
if c == 0:
print("Success!")
else:
print("There is an error in your code")
You could also think of an alternative way of storing the above information. Feel free to explore how to store multidimensional objects.
Last week we studied Usain Bolt’s 100m run and in class we studied a falling baseball. We made basic plots of the baseball moving in one dimension. This week we will be working with a three-dimensional variant. This will be useful for our next homeworks and numerical projects.
Assume we have a soccer ball moving in three dimensions with the following trajectory:
\(x(t) = 10t\cos{45^{\circ}} \)
\(y(t) = 10t\sin{45^{\circ}} \)
\(z(t) = 10t - \dfrac{9.81}{2}t^2\)
Now let us create a three-dimensional (3D) plot using these equations. In the cell below we write the equations into their respective labels. We fix a final time in the code below.
Important Concept: Numpy comes with many mathematical packages, some of them being the trigonometric functions sine, cosine, tangent. We are going to utilize these this week. Additionally, these functions work with radians, so we will also be using a function from Numpy that converts degrees to radians.
tf = 2.04 # The final time to be evaluated
dt = 0.1 # The time step size
t = np.arange(0,tf,dt) # The time array
theta_deg = 45 # Degrees
theta_rad = np.radians(theta_deg) # Converts degrees to their radian counterparts
x = 10*t*np.cos(theta_rad) # Equation for our x component, utilizing np.cos() and our calculated radians
y = 10*t*np.sin(theta_rad) # Put the y equation here
z = 10*t-9.81/2*t**2# Put the z equation here
Then we plot it
## Once you have entered the proper equations in the cell above, run this cell to plot in 3D
fig = plt.axes(projection='3d')
fig.set_xlabel('x')
fig.set_ylabel('y')
fig.set_zlabel('z')
fig.scatter(x,y,z)
6a (8pt) How would you express \(x(t)\), \(y(t)\), \(z(t)\) for this problem as a single vector, \(\boldsymbol{r}(t)\)?
Then run the code and plot using the array \(r\)
## Run this code to plot using our r array
fig = plt.axes(projection='3d')
fig.set_xlabel('x')
fig.set_ylabel('y')
fig.set_zlabel('z')
fig.scatter(r[0],r[1],r[2])
6b (8pt) What do you think the benefits and/or disadvantages are from expressing our three equations as a single array/vector? This can be both from a computational and physics stand point. Use the Numpy package to also print the maximum \(x\), \(y\) and \(z\) components from \(\boldsymbol{r}\).
Complete Exercise 4 above (Taylor exercise 1.35) before moving further. (Recall that the golf ball was hit due east at an angle \(\theta\) with respect to the horizontal, and the coordinate directions are \(x\) measured east, \(y\) north, and \(z\) vertically up.)
6c (8pt) What is the analytical solution for our theoretical golf ball’s position \(\boldsymbol{r}(t)\) over time from Exercise 4? Also what is the formula for the time \(t_f\) when the golf ball hits the ground? Use this to develop a program with a function called for example Golfball that utilizes our analytical solutions. This program should take in an initial velocity and the angle \(\theta\) that the golfball was hit with in degrees. It should also produce a 3D graph of the motion. You need also to find the maximum values for \(x\), \(y\) and \(z\).
6d (8pt) Given initial values of \(v_i = 90 m/s\), \(\theta = 30^{\circ}\), what would our maximum x, y and z components be?
6e (8pt) Given initial values of \(v_i = 45 m/s\), \(\theta = 45^{\circ}\), what would our maximum x, y and z components be?


HBListController
Objective-C
@interface HBListController : PSListController
Swift
class HBListController : PSListController
The HBListController class in CepheiPrefs provides a list controller with various conveniences such as a unique tint color for the list controllers within a preference bundle, and bug fixes for common issues within the Settings app and Preferences framework. In particular, a bug with the list controller’s content disappearing after closing the Settings app and opening it again is worked around, as well as an issue on iOS 7 where in some cases a cell may stay highlighted after being tapped.
It includes two class methods you can override to return the name of a Preferences specifier property list, and various methods to control appearance of the interface.
If you use HBLinkTableCell
or subclasses such as HBTwitterCell
and HBPackageTableCell
, it
is recommended to subclass from HBListController on the view controller classes containing these
cells to use CepheiPrefs’s built-in callback actions. If you do not subclass from
HBListController, you will need to implement action methods yourself.
Specifier Parameters
HBListController extends specifiers with the following parameters:
| pl_filter | Optional. Supports additional filters that decide whether a specifier should be displayed, as specified below. |
| iconImageSystem | Optional. Supports displaying a system image as the cell icon, as specified below. |
| leftImageSystem | Optional. Supports displaying a system image as the icon to the left of a PSSliderCell’s slider control, as specified below. |
| rightImageSystem | Optional. Supports displaying a system image as the icon to the right of a PSSliderCell’s slider control, as specified below. |
PreferenceLoader Filter Parameters
The pl_filter
key is inherited from PreferenceLoader’s libprefs, and can be used to specify
CoreFoundation version criteria
for a specifier. Specifiers that do not meet the pl_filter
criteria will be discarded.
The version number of CoreFoundation is often used as a stable method of checking the operating system version in use. It has the benefit of increasing in predictable amounts (to the next hundred or more) for each major revision of Apple’s OS platforms, and it is typically roughly the same between all Apple OS platforms at any point in time.
| CoreFoundationVersion | Optional. An array of one or two CoreFoundation version numbers in decimal (<real>). If one number is present, this is a minimum bound. The current device’s CoreFoundation version must be greater than or equal to this number. If two numbers are present, the first number is the lower bound, and the second number is one more than the upper bound. The current device’s CoreFoundation version must be greater than or equal to the first number, and less than (but not equal to) the second number. |
Example Usage
<!-- Will only display on iOS 12.0 (CF 1556.0) or newer: -->
<dict>
<key>cell</key>
<string>PSSwitchCell</string>
<key>label</key>
<string>My iOS 12+ Only Feature</string>
<key>pl_filter</key>
<dict>
<key>CoreFoundationVersion</key>
<array>
<real>1556.00</real>
</array>
</dict>
</dict>
<!-- Will only display between iOS 7.0 (CF 847.20) and 12.0 (CF 1556.00): -->
<dict>
<key>cell</key>
<string>PSSwitchCell</string>
<key>label</key>
<string>My iOS 7-11 Only Feature</string>
<key>pl_filter</key>
<dict>
<key>CoreFoundationVersion</key>
<array>
<real>847.20</real>
<real>1556.00</real>
</array>
</dict>
</dict>
<!-- Will only display on versions earlier than iOS 12.0 (CF 1556.00): -->
<dict>
<key>cell</key>
<string>PSSwitchCell</string>
<key>label</key>
<string>My iOS <12 Only Feature</string>
<key>pl_filter</key>
<dict>
<key>CoreFoundationVersion</key>
<array>
<real>0.0</real>
<real>1556.00</real>
</array>
</dict>
</dict>
System Icon Parameters
On iOS 13.0 and newer, you can specify a system icon (SF Symbols glyph) to be displayed in a cell. Use the SF Symbols app to find symbol names.
When running on iOS versions earlier than 13.0, icons will not be rendered. This also applies when a symbol name is specified that was added in a later iOS version than is currently in use. In this case, you can supply a PNG icon through the usual means as a fallback.
| name | Required. The symbol name to use. |
| weight | Optional. The weight to render the symbol at. The supported values are: ultraLight, thin, light, regular, medium, semibold, bold, heavy, black. The default is regular. |
| scale | Optional. The scale to render the symbol at. The supported values are: small, medium, large. The default is medium. |
| pointSize | Optional. The equivalent font size to render the symbol at. The default is 20.0. |
| tintColor | Optional. The color to render the icon in. The default is no value, which means the tint color will be inherited from the -[HBAppearanceSettings tintColor]; if neither value is set, the default iOS blue tint color is used. When backgroundColor is set, no value means white (#ffffff) will be used. |
| backgroundColor | Optional. The background color to use for the symbol. When specified, the symbol will be rendered inside an icon shape of the specified background color. The symbol will be scaled down by 20% to appropriately fit the icon shape. The default is no value, which means no icon shape will be rendered. |
Example Usage
<!-- A switch with a two switches symbol as its icon -->
<dict>
<key>cell</key>
<string>PSSwitchCell</string>
<key>label</key>
<string>Awesome</string>
<key>iconImageSystem</key>
<dict>
<key>name</key>
<string>switch.2</string>
</dict>
</dict>
<!-- A link cell with an information symbol as its icon -->
<dict>
<key>cell</key>
<string>PSLinkCell</string>
<key>detail</key>
<string>HBDemoAboutListController</string>
<key>isController</key>
<true/>
<key>label</key>
<string>ABOUT</string>
<key>iconImageSystem</key>
<dict>
<key>name</key>
<string>info.circle</string>
</dict>
</dict>
<!-- A slider cell with brightness sun symbols on the left and right -->
<dict>
<key>cell</key>
<string>PSSliderCell</string>
<key>min</key>
<real>1</real>
<key>max</key>
<real>15</real>
<key>leftImageSystem</key>
<dict>
<key>name</key>
<string>sun.min</string>
</dict>
<key>rightImageSystem</key>
<dict>
<key>name</key>
<string>sun.max</string>
</dict>
</dict>
<!-- A link cell with white heart symbol in a red icon shape -->
<dict>
<key>cell</key>
<string>PSButtonCell</string>
<key>cellClass</key>
<string>HBLinkTableCell</string>
<key>label</key>
<string>DONATE</string>
<key>url</key>
<string>https://hashbang.productions/</string>
<key>iconImageSystem</key>
<dict>
<key>name</key>
<string>heart</string>
<key>backgroundColor</key>
<string>#ff3b30</string>
</dict>
</dict>
-
The property list that contains Preference framework specifiers to display as the content of the list controller. Override this method to return the file name of a property list inside your preference bundle, omitting the file extension.
Example:
+ (NSString *)hb_specifierPlist { return @"Root"; }
If you use this method and override the
specifiers
method, ensure you call the super method with[super specifiers];
first in yourspecifiers
implementation.Declaration
Objective-C
@property (class, nonatomic, strong, readonly, nullable) NSString *hb_specifierPlist;
Swift
class var specifierPlist: String? { get }
Return Value
By default, nil.
-
Returns the “real” navigation controller for this view controller.
As of iOS 8.0, the navigation controller that owns the navigation bar and other responsibilities is actually a parent of
self.navigationController
on iPhone, due to the larger Plus models. The realNavigationController method returns the correct navigation controller.Declaration
Objective-C
- (nonnull UINavigationController *)realNavigationController;
Swift
func realNavigationController() -> UINavigationController
Return Value
The real navigation controller.
-
Specifier action to perform a restart of the system app (respring).
You should prefer to have preferences immediately take effect, rather than using this method.
Declaration
Objective-C
- (void)hb_respring:(nonnull PSSpecifier *)specifier;
Swift
func hb_respring(_ specifier: PSSpecifier)
-
Specifier action to perform a restart of the system app (respring), and return to the current preferences screen.
You should prefer to have preferences immediately take effect, rather than using this method.
See
-hb_respring:
Declaration
Objective-C
- (void)hb_respringAndReturn:(nonnull PSSpecifier *)specifier;
Swift
func hb_respringAndReturn(_ specifier: PSSpecifier)
-
Specifier action to open the URL specified by the specifier.
This is intended to be used with
HBLinkTableCell
.See
HBLinkTableCell
Declaration
Objective-C
- (void)hb_openURL:(nonnull PSSpecifier *)specifier;
Swift
func hb_openURL(_ specifier: PSSpecifier)
-
Specifier action to open the package specified by the specifier.
This is intended to be used with
HBPackageTableCell
.Declaration
Objective-C
- (void)hb_openPackage:(nonnull PSSpecifier *)specifier;
Swift
func hb_openPackage(_ specifier: PSSpecifier)


Hi❕ Do you know where Helios is coming from❔ Well …
↪ Helios was the personification of the Sun in Greek mythology. According to Hesiod, he is the son of the Titan Hyperion and the Titaness Theia.
He is the of the goddesses Selene, the moon, and Eos, the dawn.
‣ Helios was described as a handsome titan crowned with the shining aureole of the Sun, who drove the chariot of the sun across the sky each day
to earth-circling Oceanus and through the world-ocean returned to the East at night. The horses were given fiery names: Pyrois, Aeos, Aethon, and Phlegon.
• As time passed, Helios was increasingly identified with the god of light, Apollo. However, in spite of their syncretism,
they were also often viewed as two distinct gods/titan (Helios was a Titan, whereas Apollo was an Olympian).


row grid-gutter-0
row grid-gutter-1
row grid-gutter-2
row grid-gutter-3
row grid-gutter-4
row grid-gutter-5
row grid-gutterx-3
row grid-guttery-3
row grid-gutterx-1 grid-guttery-3


--- layout: post title: The Painful Truth About Trainers date: 2009-04-21 14:45:54.000000000 +01:00 tags: - barefoot - shoes - article - quickie - link type: post published: true ---
There's a great article on the Daily Mail site about running barefoot: The painful truth about trainers: Are running shoes a waste of money?. Well worth a read and certainly substantiates my decision to move away from expensive "useless" shoes to running barefoot.


md-menu-content may specify a width attribute which will follow the official spec.
md-menu-content
width
Wide menu (width=6)
width=6
Medium menu (width=4)
width=4
Small menu (width=2)
width=2


Inherits Assimp::IFC::Schema_2x3::IfcWorkControl, and ObjectHelper< IfcWorkSchedule, 0 >.
◆ IfcWorkSchedule()
| Assimp::IFC::Schema_2x3::IfcWorkSchedule::IfcWorkSchedule |
( |
| ) |
|
|
inline |
◆ CreationDate
◆ Creators
| Maybe< ListOf< Lazy< NotImplemented >, 1, 0 > > Assimp::IFC::Schema_2x3::IfcWorkControl::Creators |
|
inherited |
◆ Description
| Maybe< IfcText::Out > Assimp::IFC::Schema_2x3::IfcRoot::Description |
|
inherited |
◆ Duration
◆ FinishTime
◆ GlobalId
◆ Identifier
◆ Name
◆ ObjectType
| Maybe< IfcLabel::Out > Assimp::IFC::Schema_2x3::IfcObject::ObjectType |
|
inherited |
◆ OwnerHistory
◆ Purpose
| Maybe< IfcLabel::Out > Assimp::IFC::Schema_2x3::IfcWorkControl::Purpose |
|
inherited |
◆ StartTime
◆ TotalFloat
◆ UserDefinedControlType
| Maybe< IfcLabel::Out > Assimp::IFC::Schema_2x3::IfcWorkControl::UserDefinedControlType |
|
inherited |
◆ WorkControlType
The documentation for this struct was generated from the following file:


Welcome {{admin.name}}!
Logout
{{ui.user_created}}
user created! Need another?
Create a New User
Hmm... {{new_user.username}} exists already.
Be sure those passwords match, kids!
Create User


Toggle navigation
Portfolio Management
John Smith
Log Out
Portfolio
History
My symbols
Add symbol
×
Choose a symbol
Type
Bond
Future
Stock
quantity:
isin
issuer
ClrAlias
Exch
symbol
name
×
Show Detail
Id
symbol
lastprice
benefit
currency
quantity
asset
dateTime
Edit


CROPWAT Project
01. CropWat
CROPWAT is a decision support tool developed by the Land and Water Development Division of FAO.
CROPWAT 8.0 for Windows is a computer program for the calculation of crop water requirements and irrigation requirements based on soil, climate and crop data. In addition, the program allows the development of irrigation schedules for different management conditions and the calculation of scheme water supply for varying crop patterns. CROPWAT 8.0 can also be used to evaluate farmers’ irrigation practices and to estimate crop performance under both rainfed and irrigated conditions.
All calculation procedures used in CROPWAT 8.0 are based on the two FAO publications of the Irrigation and Drainage Series, namely, No. 56 “Crop Evapotranspiration - Guidelines for computing crop water requirements” and No. 33 titled “Yield response to water”.
As a starting point, and only to be used when local data are not available, CROPWAT 8.0 includes standard crop and soil data. When local data are available, these data files can be easily modified or new ones can be created. Likewise, if local climatic data are not available, these can be obtained for over 5,000 stations worldwide from CLIMWAT, the associated climatic database. The development of irrigation schedules in CROPWAT 8.0 is based on a daily soil-water balance using various user-defined options for water supply and irrigation management conditions. Scheme water supply is calculated according to the cropping pattern defined by the user, which can include up to 20 crops.
CROPWAT 8.0 is a Windows program based on the previous DOS versions. Apart from a completely redesigned user interface, CROPWAT 8.0 for Windows includes a host of updated and new features, including:
- monthly, decade and daily input of climatic data for calculation of reference evapotranspiration (ETo)
- backward compatibility to allow use of data from CLIMWAT database
- possibility to estimate climatic data in the absence of measured values
- decade and daily calculation of crop water requirements based on updated calculation algorithms including adjustment of crop-coefficient values
- calculation of crop water requirements and irrigation scheduling for paddy & upland rice, using a newly developed procedure to calculate water requirements including the land preparation period
- interactive user adjustable irrigation schedules
- daily soil water balance output tables
- easy saving and retrieval of sessions and of user-defined irrigation schedules
- graphical presentations of input data, crop water requirements and irrigation schedules
- easy import/export of data and graphics through clipboard or ASCII text files
- extensive printing routines, supporting all windows-based printers
- context-sensitive help system
- Multilingual interface and help system: English, Spanish, French and Russian
CROPWAT 8.0 for Windows was developed using Visual Delphi 4.0 and runs on the following Windows platforms: 95/98/ME/2000/NT/XP/Vista/7/8/8.1 and 10.
02. CLIMWAT
CLIMWAT is a climatic database to be used in combination with the computer program CROPWAT. and allows the calculation of crop water requirements, irrigation supply and irrigation scheduling for various crops for a range of climatological stations worldwide.
CLIMWAT 2.0 for CROPWAT is a joint publication of the Water Development and Management Unit and the Climate Change and Bioenergy Unit of FAO.
CLIMWAT 2.0 offers observed agroclimatic data of over 5000 stations worldwide distributed as shown below.
CLIMWAT provides long-term monthly mean values of seven climatic parameters, namely:
- Mean daily maximum temperature in °C
- Mean daily minimum temperature in °C
- Mean relative humidity in %
- Mean wind speed in km/day
- Mean sunshine hours per day
- Mean solar radiation in MJ/m2/day
- Monthly rainfall in mm/month
- Monthly effective rainfall in mm/month
- Reference evapotranspiration calculated with the Penman-Monteith method in mm/day.
The data can be extracted for a single or multiple stations in the format suitable for their use in CROPWAT. Two files are created for each selected station. The first file contains long-term monthly rainfall data [mm/month]. Additionally, effective rainfall is also included calculated and included in the same file. The second file consists of long-term monthly averages for the seven climatic parameters, mentioned above. This file also contains the coordinates and altitude of the location.
All station information is drawn from the database of The Agromet Group of FAO.
03. FAO Irrigation And Drainage Paper 56
This publication presents an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop coefficients. The procedure, first presented in FAO Irrigation and Drainage Paper No. 24, Crop water requirements, in 1977, allows estimation of the amount of water used by a crop, taking into account the effect of the climate and the crop characteristics. The publication incorporates advances in research and more accurate procedures for determining crop water use as recommended by a panel of high-level experts organized by FAO in May 1990. The first part of the guidelines includes procedures for determining reference crop evapotranspiration according to the FAO Penman-Monteith method. These are followed by updated procedures for estimating the evapotranspiration of different crops for different growth stages and ecological conditions.


While our team is not that big, their totaling experience is so huge, that they fix plumbing issues just by looking at them!
We have all the industry standard tools and we're regularly updating our stock with the latest plumbing equipment!
Everyone knows, how hard it is to find a plumber in Wyoming during winter. As opposed to that notion, we work 24/7/365, all year long...
We're convinced, that any good service simply must be also an affordable service. That is why we always keep our pricing at bay.
Shop 3, Opp Victoria Palace
Near Dassera Maidan
Ulhasnagar - 421003
<EMAIL_ADDRESS>+91<PHONE_NUMBER>
+91<PHONE_NUMBER>


Represents a type of HTMLElement that can be zoomed.
An attribute value that indicates that this video should continue playing once zoomed out.
The key code for the Esc key.
The attribute key used to indicate the src of the resource to load when this element is zoomed in.
The attribute key used to indicate whether a video should continue to play once zoomed out.
The amount of pixels required to scroll vertically with a scroll wheel or keyboard to dismiss a zoomed element.
The amount of pixels required to scroll vertically with a touch screen to dismiss a zoomed element.
The attribute key used to indicate which zoom function (in or out) should occur once the element is clicked.
An attribute value that indicates this element should zoom in when clicked.
An attribute value that indicates this element should zoom out when clicked.
The event types to listen for that trigger at the end of an element's transition.
Generated using TypeDoc
Represents a state that an Overlay can be in.


AR editor & community on blockchain steroids
Drimz is an ecosystem which is comprises the iOS AR-paint (Augmented Reality) tool and our in-house blockchain engine. This ecosystem is social and people-oriented: all the drawings you create with the application will be transparently available to others. They can evaluate it by voting. If the community likes your paintings, it will become public. If it does not - do not worry, we remove drawings after a certain time just like in Snapchat, thus you may be luckier the next time!
We invite you to get inspired by amazing augmented reality paintings created by our community, create your own virtual drawings, and share them with your friends! Reveal the best of you by expressing yourself and enjoy our AR-paint features for free!
When working on your drawing, free to join other people who share your idea, and help each other create the image that is on your mind. Additionally, if you like an idea of a different author, it is not necessary to do something similar from skratch. Instead, just modify their drawings and check what other people think about it.
Enjoy connecting with teams when fulfilling your ideas, as this unleashes your creative powers and gives you a synergy shot. In Drimz, we will do our best to provide you with the tools to make this process easy, fun, and pleasant, allowing teams to complete complicated and spectacular canvases easily.
We would like Drimz to be a great place to hang around with friends and family, and we would like to rely on your assistance in cleaning it from inappropriate, offensive, or meaningless content.  We appreciate all your efforts to make our community bigger & better by promoting it to others!
Our economy is pretty straightforward: Users enjoy viewing and creating small & cozy personal paintings, while Sponsors (business) pay their $$$ to create big, pompous, and astonishing expos to promote themselves and their products. The amounts they invest are divided among all the community members, also giving a piece of this pie to us to maintain our blockchain and develop Drimz. The current exchange rate of DCN and the blockchain info is available at: [ Vault ]
It is not always the case that you want to shout out to the world about your art, drawing, painting, or whatever you call it. Sometimes you just want to show it to someone special: to your best friends, your girlfriend or your mom - and nobody else. It could be a part of a present for an anniversary or a part of your intriguing quest: in all such cases, we would love to assist you and limit the number of people who can see your secret present. The private expos is not yet in the product for now, but it is a work in progress feature, and soon it will be generally available!
Some paintings definitely require geographical context and are best viewed only in certain places of our world. But. The majority of augmented reality paintings people create do not need this bind, and we feel unfair to hide this gold from other people. Thus, if you decide so, your painting will be available ONLY in a certain position and direction in the blockchain. Otherwise, it will fall into the can-see-it-everywhere category, and other AR fans will be able to view it in their location or even on their wall!


Tests for
recipes
/
utilities
/relative-position
top
right
bottom
left
top distanced
right distanced
bottom distanced
left distanced
left top
right top
left bottom
right bottom
top left moved
top right moved
bottom left moved
bottom right moved


sprite sheet
travel edition
bus
car
helicopter
plane
globe
location
suitcase
camera
landmark
luggage


Select language in the URL, e.g. /?lang=python&code=print("hello")
See the source code or
https://github.com/viebel/klipse
for more info.