|
| class | Layer |
| | This provides access to timers according to the configured event handling model. More...
|
| |
| struct | LwIPEvent |
| |
| class | LwIPEventHandlerDelegate |
| |
| class | LwIPPacketBufferView |
| | Provide low-level access to a raw pbuf * , limited to specific classes that interface with LwIP. More...
|
| |
| class | Mutex |
| | This class represents a simple mutual exclusion lock used on platforms with preemptively scheduled multi-threaded programming environments, for example, POSIX threads and FreeRTOS. The lock is non-recursive, and may not be used in a hardware interrupt context. The constructor and destructor are defined as null functions to facilitate using objects with static storage duration and uninitialized memory. Use Init method to initialize. The copy/move operators are not provided. More...
|
| |
| class | Object |
| | This represents a reference-counted object allocated from space contained in an ObjectPool<T, N> object. More...
|
| |
| union | ObjectArena |
| | A union template used for representing a well-aligned block of memory. More...
|
| |
| class | ObjectPool |
| | A class template used for allocating Object subclass objects from an ObjectArena<> template union. More...
|
| |
| class | PacketBuffer |
| | The packet buffer class is the core structure used for manipulating packets of octet-serialized data, usually in the context of a data communications network, like Bluetooth or the Internet protocol. More...
|
| |
| class | PacketBufferHandle |
| | Tracks ownership of a PacketBuffer. More...
|
| |
| class | PacketBufferTLVReader |
| |
| class | PacketBufferTLVWriter |
| |
| class | SystemWakeEvent |
| |
| class | Timer |
| | This is an internal class to CHIP System Layer, used to represent an in-progress one-shot timer. There is no real public interface available for the application layer. The static public methods used to acquire current system time are intended for internal use. More...
|
| |
| class | TLVPacketBufferBackingStore |
| | An implementation of TLVBackingStore using PacketBuffers. More...
|
| |
|
| void | RegisterLayerErrorFormatter () |
| | Register a text error formatter for System Layer errors. More...
|
| |
| bool | FormatLayerError (char *buf, uint16_t bufSize, int32_t err) |
| | Given a System Layer error, returns a human-readable NULL-terminated C string describing the error. More...
|
| |
| DLL_EXPORT Error | MapErrorPOSIX (int aError) |
| | This implements a mapping function for CHIP System Layer errors that allows mapping integers in the number space of the underlying POSIX network and OS stack errors into a platform- or system-specific range. More...
|
| |
| const DLL_EXPORT char * | DescribeErrorPOSIX (Error aError) |
| | This implements a function to return an NULL-terminated OS-specific descriptive C string, associated with the specified, mapped OS error. More...
|
| |
| DLL_EXPORT bool | IsErrorPOSIX (Error aError) |
| | This implements an introspection function for CHIP System Layer errors that allows the caller to determine whether the specified error is an internal, underlying OS error. More...
|
| |
| void | RegisterPOSIXErrorFormatter () |
| | Register a text error formatter for POSIX errors. More...
|
| |
| bool | FormatPOSIXError (char *buf, uint16_t bufSize, int32_t err) |
| | Given a POSIX error, returns a human-readable NULL-terminated C string describing the error. More...
|
| |
| DLL_EXPORT Error | MapErrorZephyr (int aError) |
| | This implements a mapping function for CHIP System Layer errors that allows mapping integers in the number space of the Zephyr OS user API stack errors into the POSIX range. More...
|
| |
| DLL_EXPORT Error | MapErrorLwIP (err_t aError) |
| | This implements a mapping function for CHIP System Layer errors that allows mapping underlying LwIP network stack errors into a platform- or system-specific range. More...
|
| |
| const DLL_EXPORT char * | DescribeErrorLwIP (Error aError) |
| | This implements a function to return an NULL-terminated LwIP-specific descriptive C string, associated with the specified, mapped LwIP error. More...
|
| |
| DLL_EXPORT bool | IsErrorLwIP (Error aError) |
| | This implements an introspection function for CHIP System Layer errors that allows the caller to determine whether the specified error is an internal, underlying LwIP error. More...
|
| |
| void | RegisterLwIPErrorFormatter (void) |
| | Register a text error formatter for LwIP errors. More...
|
| |
| bool | FormatLwIPError (char *buf, uint16_t bufSize, int32_t err) |
| | Given an LwIP error, returns a human-readable NULL-terminated C string describing the error. More...
|
| |
| static bool | IsEventOfType (EventType aEventType) |
| | Check to verify if an EventType is a valid one. More...
|
| |
| static bool | TimerReady (const Timer::Epoch epoch, const Cancelable *timer) |
| |
| static int | TimerCompare (void *p, const Cancelable *a, const Cancelable *b) |
| |


HWZ Forums
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Glass screen protectors for iPad
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LinkBack | Thread Tools |
| 07-06-2015, 04:55 PM | #1 |
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Member
Join Date: Feb 2015
Posts: 105
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Glass screen protectors for iPad
Do they sell tempered glass screen protectors (including installation) at the PC Show? I was going to go to my usual shop in the markets at Bugis for around $25-30 from memory, but if the PC Show at the Expo has it then I may as well use that as a reason to visit.
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| 07-06-2015, 09:38 PM | #2 |
|
Member
Join Date: Feb 2015
Posts: 105
|
I went today and can confirm they had screen protectors for sale and install. That being said the promo of buy 2 get 1 free (any item) was good except after paying I realised how long the queue was for the installation as everyone who had bought a phone, tablet, laptop, etc... was there lining up too!
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Crypto info
Emergence frequency
Approximate price
Existence vs Сirculation
Top mining companies
Price change
RESULT:


The Defense Shield is your personal firewall that handles all incoming and outgoing traffic for your Cloud Space, your routing and firewall settings.


Consider this ...
** 2.4 million emails are sent every second.
** That means that there are 205 billion emails sent everyday.
** That's 74 trillion every year!
Now consider this ...
In a study conducted by the Journal of Personality and Social Psychology, email recipients
misinterpreted the tone of an email 50% of the time. Further, these recipients believed they
correctly interrupted the email 90% of the time. This means that almost 1.1 million emails every
second are misinterpreted even though the receiver thinks he or she has interrupted the email correctly.
So why does this matter ...
In today's world, so much of our communication is done over email, where the person
you are communicating with can't see your body language, your facial expressions, or
hear the tone of your voice. That is why the tone of your words is so important in conveying
your correct message.
At Check Your Tone, we believe that we can help with this epidemic.
We invite you to upload your email, social posts, letters, or any text that you want to make
sure it will be percieved the way you intended it.
Check Your Tone | created by: Philip Reitz |<EMAIL_ADDRESS>| https://www.linkedin.com/in/philip-reitz


--- title: 1D convolution layer (e.g. temporal convolution). type: docs repo: https://github.com/rstudio/keras menu: main: name: 1D convolution layer (e.g. temporal convolution). - keras parent: keras-reference aliases: - /reference/keras/layer_conv_1d.html - /keras/reference/layer_conv_1d.html - /guide/keras/reference/layer_conv_1d.html - /tools/tools/keras/reference/layer_conv_1d.html - /installation/keras/reference/layer_conv_1d.html - /tutorials/keras/reference/layer_conv_1d.html - /guide/tools/keras/reference/layer_conv_1d.html - /deploy/keras/reference/layer_conv_1d.html - /tools/keras/reference/layer_conv_1d.html - /tutorials/tools/keras/reference/layer_conv_1d.html ---
This layer creates a convolution kernel that is convolved with the layer
input over a single spatial (or temporal) dimension to produce a tensor of
outputs. If use_bias
is TRUE, a bias vector is created and added to the
outputs. Finally, if activation
is not NULL
, it is applied to the outputs
as well. When using this layer as the first layer in a model, provide an
input_shape
argument (list of integers or NULL
, e.g. (10, 128)
for
sequences of 10 vectors of 128-dimensional vectors, or (NULL, 128)
for
variable-length sequences of 128-dimensional vectors.
layer_conv_1d(
object,
filters,
kernel_size,
strides = 1L,
padding = "valid",
data_format = "channels_last",
dilation_rate = 1L,
activation = NULL,
use_bias = TRUE,
kernel_initializer = "glorot_uniform",
bias_initializer = "zeros",
kernel_regularizer = NULL,
bias_regularizer = NULL,
activity_regularizer = NULL,
kernel_constraint = NULL,
bias_constraint = NULL,
input_shape = NULL,
batch_input_shape = NULL,
batch_size = NULL,
dtype = NULL,
name = NULL,
trainable = NULL,
weights = NULL
)
| object | Model or layer object |
| filters | Integer, the dimensionality of the output space (i.e. the number of output filters in the convolution). |
| kernel_size | An integer or list of a single integer, specifying the length of the 1D convolution window. |
| strides | An integer or list of a single integer, specifying the stride
length of the convolution. Specifying any stride value != 1 is incompatible
with specifying any |
| padding | One of |
| data_format | A string, one of |
| dilation_rate | an integer or list of a single integer, specifying the
dilation rate to use for dilated convolution. Currently, specifying any
|
| activation | Activation function to use. If you don't specify anything,
no activation is applied (ie. "linear" activation: |
| use_bias | Boolean, whether the layer uses a bias vector. |
| kernel_initializer | Initializer for the |
| bias_initializer | Initializer for the bias vector. |
| kernel_regularizer | Regularizer function applied to the |
| bias_regularizer | Regularizer function applied to the bias vector. |
| activity_regularizer | Regularizer function applied to the output of the layer (its "activation").. |
| kernel_constraint | Constraint function applied to the kernel matrix. |
| bias_constraint | Constraint function applied to the bias vector. |
| input_shape | Dimensionality of the input (integer) not including the samples axis. This argument is required when using this layer as the first layer in a model. |
| batch_input_shape | Shapes, including the batch size. For instance,
|
| batch_size | Fixed batch size for layer |
| dtype | The data type expected by the input, as a string ( |
| name | An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided. |
| trainable | Whether the layer weights will be updated during training. |
| weights | Initial weights for layer. |
3D tensor with shape: (batch_size, steps, input_dim)
3D tensor with shape: (batch_size, new_steps, filters)
steps
value might have changed due to padding or strides.
Other convolutional layers:
layer_conv_1d_transpose()
,
layer_conv_2d_transpose()
,
layer_conv_2d()
,
layer_conv_3d_transpose()
,
layer_conv_3d()
,
layer_conv_lstm_2d()
,
layer_cropping_1d()
,
layer_cropping_2d()
,
layer_cropping_3d()
,
layer_depthwise_conv_2d()
,
layer_separable_conv_1d()
,
layer_separable_conv_2d()
,
layer_upsampling_1d()
,
layer_upsampling_2d()
,
layer_upsampling_3d()
,
layer_zero_padding_1d()
,
layer_zero_padding_2d()
,
layer_zero_padding_3d()


Create a for loop that iterates through all the items of the following list and prints out the item if the item is greater than 2.
for
mylist = [1, 2, 3, 4, 5]
Expected output:
345


There is a certain animal that is called an antelope; because when it plays with brushwood with its horns, in the end its horns are so tangled with the brushwood that it can't pull them out. And then it begins to cry out. And when the hunters hear this they come and kill it.
Moral. It so happened that a good many were delighted and play with the troubles of this world and are so tangled with them that they can not be pulled out. And so are seized and killed by the hunters, that is, by demons.


Class: Sprockets::UnloadedAsset
| Relationships & Source Files | |
| Inherits: | Object |
| Defined in: | lib/sprockets/unloaded_asset.rb |
Overview
Internal: Used to parse and store the URI to an unloaded asset Generates keys used to store and retrieve items from cache
Class Method Summary
-
.new(uri, env) ⇒ UnloadedAsset
constructor
Internal: Initialize object for generating cache keys.
Instance Attribute Summary
- #compressed_path readonly
- #uri readonly
Instance Method Summary
-
#asset_key
Internal: Key of asset.
-
#dependency_history_key
Public: Dependency History key.
-
#digest_key(digest)
Internal: Digest key.
-
#file_digest_key(stat)
Internal: File digest key.
-
#filename
Internal: Full file path without schema.
-
#params
Internal: Hash of param values.
-
#load_file_params
private
Internal: Parses uri into filename and params hash.
Constructor Details
.new(uri, env) ⇒ UnloadedAsset
Internal: Initialize object for generating cache keys
uri - A String containing complete URI to a file including scheme
and full path such as
"file:///Path/app/assets/js/app.js?type=application/javascript"
env - The current “environment” that assets are being loaded into.
We need it so we know where the root (directory where Sprockets
is being invoked). We also need it for the `file_digest` method,
since, for some strange reason, memoization is provided by
overriding methods such as `stat` in the `PathUtils` module.
Returns UnloadedAsset.
Instance Attribute Details
#compressed_path (readonly)
[ GitHub ]# File 'lib/sprockets/unloaded_asset.rb', line 29
attr_reader :compressed_path, :uri
#uri (readonly)
[ GitHub ]# File 'lib/sprockets/unloaded_asset.rb', line 29
attr_reader :compressed_path, :uri
Instance Method Details
#asset_key
Internal: Key of asset
Used to retrieve an asset from the cache based on “compressed” path to asset. A “compressed” path can either be relative to the root of the project or an absolute path.
Returns a String.
# File 'lib/sprockets/unloaded_asset.rb', line 77
def asset_key "asset-uri:#{compressed_path}" end
#dependency_history_key
Public: Dependency History key
Used to retrieve an array of “histories” each of which contains a set of stored dependencies for a given asset path and filename digest.
A dependency can refer to either an asset e.g. index.js may rely on jquery.js (so jquery.js is a dependency), or other factors that may affect compilation, such as the VERSION of ::Sprockets
(i.e. the environment) and what “processors” are used.
For example a history array with one Set of dependencies may look like:
[[“environment-version”, “environment-paths”, “processors:type=text/css&file_type=text/css”,
"file-digest:///Full/path/app/assets/stylesheets/application.css",
"processors:type=text/css&file_type=text/css&pipeline=self",
"file-digest:///Full/path/app/assets/stylesheets"]]
This method of asset lookup is used to ensure that none of the dependencies have been modified since last lookup. If one of them has, the key will be different and a new entry must be stored.
URI dependencies are later converted to “compressed” paths
Returns a String.
# File 'lib/sprockets/unloaded_asset.rb', line 104
def dependency_history_key "asset-uri-cache-dependencies:#{compressed_path}:#{ @env.file_digest(filename) }" end
#digest_key(digest)
Internal: Digest key
Used to retrieve a string containing the “compressed” path to an asset based on a digest. The digest is generated from dependencies stored via information stored in the #dependency_history_key after each of the “dependencies” is “resolved”. For example “environment-version” may be resolved to “environment-1.0-3.2.0” for version “3.2.0” of ::Sprockets
Returns a String.
# File 'lib/sprockets/unloaded_asset.rb', line 117
def digest_key(digest) "asset-uri-digest:#{compressed_path}:#{digest}" end
#file_digest_key(stat)
Internal: File digest key
The digest for a given file won’t change if the path and the stat time hasn’t changed We can save time by not re-computing this information and storing it in the cache
Returns a String.
# File 'lib/sprockets/unloaded_asset.rb', line 127
def file_digest_key(stat) "file_digest:#{compressed_path}:#{stat}" end
#filename
Internal: Full file path without schema
This returns a string containing the full path to the asset without the schema. Information is loaded lazily since we want UnloadedAsset.new(dep, self).relative_path
to be fast. Calling this method the first time allocates an array and a hash.
Example
If the URI is file:///Full/path/app/assets/javascripts/application.js"
then the filename would be "/Full/path/app/assets/javascripts/application.js"
Returns a String.
# File 'lib/sprockets/unloaded_asset.rb', line 43
def filename unless @filename load_file_params end @filename end
#load_file_params (private)
Internal: Parses uri into filename and params hash
Returns Array with filename and params hash
# File 'lib/sprockets/unloaded_asset.rb', line 135
def load_file_params @filename, @params = URIUtils.parse_asset_uri(uri) end
#params
Internal: Hash of param values
This information is generated and used internally by ::Sprockets
. Known keys include :type
which stores the asset’s mime-type, :id
which is a fully resolved digest for the asset (includes dependency digest as opposed to a digest of only file contents) and :pipeline
. Hash may be empty.
Example
If the URI is file:///Full/path/app/assets/javascripts/application.js"type=application/javascript
Then the params would be {type: "application/javascript"}
Returns a Hash.
# File 'lib/sprockets/unloaded_asset.rb', line 63
def params unless @params load_file_params end @params end


{% extends "base_site.html" %} {% block tag_head %} {% endblock %} {% block tag_body %}
Login using an account you already have.
We allow you to use any of your favorite OpenID providers to login.


| MATLAB 文件帮助: cv.SVD/compute | 查看 cv.SVD/compute 的代码 | Index |
compute the operator that performs SVD
svd.compute(A)
svd.compute(A, 'OptionName', optionValue, ...)
A = u*diag(w)*vt
w
is to be processed, while u
and vt
will be set to
empty matrices. default falseu
and vt
matrices of sufficiently
large size for the further A
reconstruction; if,
however, FullUV
flag is specified, u
and vt
will be
full-size square orthogonal matrices. default falseThe previously allocated u
, w
and vt
are released.
The operator performs the singular value decomposition of the
supplied matrix. The u
, vt
, and the vector of singular
values w
are stored in the structure. The same SVD structure
can be reused many times with different matrices. Each time, if
needed, the previous u
, vt
, and w
are reclaimed and the
new matrices are created.
| Access | public |
| Sealed | false |
| Static | false |


“Most cats show an interest of some kind, though it is often of hostility … a significant reaction is the display of excitement when any picture, especially of birds, moves quickly across the screen.” — Nerea De Clifford, What British Cats Think About Television


Weekly Meeting: 2015-02-11
11th Feb 2015: Improving quality, error handling, TLS merge and GSoC
Agenda
- Improving Quality
- Error Handling RFC
- TLS merge progress
- OPAM 1.2 only
- GSoC Projects
- FOSDEM demo
- Bitcoin Piñata
Attendees: Amir Chaudhry (chair), Thomas Gazagnaire, David Kaloper, Thomas Leonard, Jon Ludlam, Anil Madhavapeddy, Hannes Mehnert, Richard Mortier, Dave Scott, Mindy Preston and Nicolas Ojeda Bar
Notes
Improving Quality
We need to improve this in a more general and automated way. So far, we’ve done quite well with local library testing but we don’t really have the ability to test things in coordinated way for unikernels. Specifically, we don’t really have much end-to-end testing that looks at the complete toolchain. The only place where this surfaces for us is still mirage-www (this website!), as bugs tend to appear there whenever a wider issue occurs (cf. the recent crash on boot - mirage/mirage#375). Finding bugs in an automated way and reporting them is important as the project grows.
Some options include providing a manifest of specific versions and running tests that way. It would allow us to take different libraries and bisect issues. We would have to build this ourselves as we still have very few automated tests e.g is-mirage-broken (and it’s not enough to just have tests — we also have to fix things that they show as broken).
Another thought is that instead of merging directly into the upstream OPAM repository (which is when we realise things aren’t quite right), maybe we can merge into a staging repo and ensure they pass a bunch of additional tests. Provided tests pass, then the libraries can be merged upstream en-masse — in a known-working state. However, we must take care to balance things between staging and releases — we don’t want to end up with a large backlog of ‘unreleased’ software and then do infrequent ‘big-bang’ releases. We need to test and release upstream often and no-one should have to add the staging remote just to use up to date software (that would merely shift the current problem from the main OPAM repo to our staging repo).
Related to the above, the ability to splice from an OPAM remote might be good (currently have to take everything on a remote). Perhaps ThomasG, Anil and Louis Gesbert can discuss at this. At the moment, trying to add test cases into libraries will make a big difference as an interim workflow. For example, Magnus has been patching TCP/IP to have some functional testing on Travis and we could do this for other libraries too, e.g DNS, Cohttp, etc and the approach would be useful elsewhere too. Getting some kind of Xen testing into mirage-skeleton would also be great.
Error Handling RFC
Thomas Leonard began a discussion on Error handling in Mirage and submitted a page to the website as an RFC. Since then, he’s tried to document what people advocating for polymorphic variants were describing but, it would be better if other people can read it and advocate for their opinion (DavidK would take a look). There are also things from 4.02 that we might want to consider. In general, one of the themes that emerged from the discussions so far is the difference of Error-handling ‘in the large’ and ‘in the small’.
OPAM 1.2 support only
The patch to the mirage tool has been made but not merged yet. ThomasG needs to get around to this and will do in due course.
TLS Merge progress
We are almost there with this and there are number of patches that need to be
reviewed and merged (mirage/mirage-dev#52). The largest blockers are the
blobs of C code and getting them to run on Mirage. The last mile still hasn’t
been covered as the entropy story is not yet complete — we need to get
xentropyd
out first. Currently it’s not reliable enough as things start
hanging. Once that’s out of the way we’re looking good. DavidK is working on
it.
GSoC Projects
As part of Xen, we will be submitting projects as part of Google Summer of Code (GSoC). We’ve been curating a set of Pioneer Projects and we can definitely add to this list. A quick call for ideas resulted in several potential projects being proposed and these will be added to the projects page. Very briefly, we discussed:
- A router VM, which can route traffic and be a DHCP server.
- A syslog unikernel
- A Firewall
- OCaml SSH
Please see the Pioneer Projects page for more details.
FOSDEM Demo
Amir gave a demo at FOSDEM of a unikernel running on a Cubieboard2, that would serve the 2048 game when people connected to its Wifi access point. Mindy, Magnus and DavidK helped to get the Wifi bridge working and the demo was quite successful. There’s a blog post describing the event and the repo is available with instructions on what to do. Several people expressed an interest in summer projects so they were directed to the Pioneer Projects page.
Bitcoin Piñata
Yesterday, saw the release of the Bitcoin Piñata, which is designed to draw more attention to the OCaml TLS stack and unikernels. Amir wrote a background post to provide some context around it and both of these appear to have spread very quickly over social media. The challenge is to break into a unikernel and recover the private key to a bitcoin address (and then make off with the bitcoins) — Hence the name, Piñata. If someone does manage to take the coins, we should see the transaction in the blockchain. Somewhat ironically, it seems that people have added some coins to the address (albeit only a small amount). The Piñata is due to be up for about a month, or until the coins are gone — the only reason for the time limit is due to the maintenance burden of keeping the site up and dealing with issues (cf. the site was subjected to a SYN flood the evening after it went live.).
–
AoB
- The next call is scheduled for Wednesday, 25th February - Please add any agenda items you wish to discuss in advance and refer to the mailing list for actual details a day or so in advance.


If you have questions, comments, or concerns about the museum, this web site or the information presented within, you can contact the Museum in the following ways: Phone<PHONE_NUMBER> Address 402 Folly Mills Station Road Staunton, VA 24401 Email<EMAIL_ADDRESS>If you have questions, comments, or concerns about the museum, this web site or the information presented within, you can contact the Museum in the following ways:
402 Folly Mills Station Road Staunton, VA 24401


THE ABYSS A film review by Randy Parker Copyright 1996 Randy Parker
RATING: *** (out of ****)
Review written in 1989 (original theatrical release reviewed)
Mix together 2001, CLOSE ENCOUNTERS, ALIENS, and THE POSEIDON ADVENTURE and you have THE ABYSS, director James Cameron's incredibly ambitious underwater adventure. Cameron has gone for broke in his attempt to chart new cinematic territory--to boldly go where no director has gone before. He has created a sci-fi love story of epic proportions, one that is surprisingly provocative. Despite flaws in the film's execution, one has to be impressed by the scope and scale of Cameron's vision.
In one of the most grueling shoots in film history, THE ABYSS was filmed 30 feet underwater in a 7.5 million gallon concrete tank. The movie is set aboard Deepcore, a submersible, commercial oil rig which is commandeered by the Navy to investigate a crashed nuclear submarine. The Navy sends a team of SEAL (Sea, Air, and Land) divers down to the rig to lead its civilian crew on a search expedition.
In the lead roles, Ed Harris and Mary Elizabeth Mastrantonio hold their own against the hardware and special effects--playing, respectively, Bud Brigman, the foreman in charge of Deepcore's crew, and his estranged wife Lindsey, a self-described "cast-iron bitch" who designed the revolutionary oil rig. The two characters rekindle their love while all hell is breaking loose on the ocean floor; they find themselves contending with a hurricane, some mysterious alien sea creatures, and a Navy officer who is suffering from water pressure-induced psychosis.
Technically, THE ABYSS is dazzling--a cinematic knockout. The movie's budget is rumored to have exceeded $50 million, and it's a good bet that nearly every penny is on the screen. Perhaps most startling and awe-inspiring is the sound; THE ABYSS offers the most dramatic utilization of Dolby stereo surround I've ever heard. The movie is a triumph of sound editing, especially when blasted through a state of the art THX sound system. Clinking chains, whirring motors, and gasping breaths engulf the audience from every direction.
Visually, THE ABYSS is no less stunning. Cameron's direction--as well as the movie's cinematography, underwater sets, and special effects--are spectacular. One particularly gripping moment comes when Cameron shoots from inside a diver's helmet; the tension and claustrophobia are almost unbearable. THE ABYSS passes its most important test: it creates the illusion that the action is actually unfolding half a mile beneath the ocean's surface. Cameron's film is beautifully and lovingly crafted and so overwhelmingly massive that it leaves you in a state of sensory overload.
Cameron also wrote THE ABYSS, but unfortunately his spiritual story of the unknown is full of leaks. First, it's riddled with too many loose ends, holes, and above all, implausibilities. The movie strains its credibility at every twist and turn to the point where it sometimes even unintentionally draws laughter from the audience. The characters seem to rely on luck more often than their own resources to get themselves out of sticky situations. For example, a crew member awakens from a coma at just the right moment to save his comrades. Second, except for the two leads, the members of the rescue team are forgettable, stock characters. When three crew members drown early in the film, their deaths have no emotional impact whatsoever. None of the supporting actors leaves a lasting impression, except for Michael Biehn (TERMINATOR, ALIENS) as the deranged SEAL officer; Biehn deserves credit for trying to flesh out his cardboard character. Third, the movie takes itself so seriously that it often borders on pretentious melodrama.
For the above reasons, THE ABYSS is often difficult to swallow at face value, and you never totally buy the situation. Unlike THE TERMINATOR and ALIENS, Cameron's two previous films, THE ABYSS fails to completely absorb you into its fantasy world. The movie hit the theaters over a month behind schedule because of production and special effects delays, which perhaps explains its unfinished feel. It almost seems as if Cameron hurried his final cut, in which case the holes and loose-ends may be rooted in the editing room rather than in the screenplay. At two hours and twenty minutes, THE ABYSS is about half an hour too long. Cameron spends too much time setting up the conflict, and he also tries to cram too many themes into the film. The alien subplot, while providing an excuse for some nifty special effects, is ultimately no more than a recycled Hollywood cliche. The movie also superficially introduces, and then fails to explore, the political undercurrents surrounding the issue of nuclear weapons (the sunken sub houses warheads with 5 times the power of Hiroshima). THE ABYSS tries to tread through so much water that everything seems half-baked, except for the touching love story between Bud and Lindsey.
In Cameron's capable hands, however, the cup is definitely half-full rather than half-empty. Once all the plot strands are in place, the movie kicks into high gear and offers the intense, riveting action that is Cameron's forte. One of the most nerve-wracking scenes has Bud and Lindsey stranded in a flooding capsule with only one oxygen suit between them in which to swim back to the oil rig. Panic sets in as they (and we) realize that only one of them can escape alive. While THE ABYSS doesn't match the breakneck pace of ALIENS or the frightening suspense of THE TERMINATOR, it contains enough nail-biting tension to leave you without finger nails.
THE ABYSS will undoubtedly spark heated debates between its fans and its foes, like two other recent big-budget extravaganzas with lofty aspirations: BATMAN and THE ADVENTURES OF BARON MUNCHAUSEN. Visually, all three films are astonishing. They differ considerably, however, in the strength of their scripts. In BATMAN, director Tim Burton complements the film's dramatic film noir look with a story that, while not fully developed, is absorbing and compelling. BARON MUNCHAUSEN, on the other hand, is all flash and no substance; it leaves you altogether indifferent to the characters and plot. THE ABYSS, by comparison, falls somewhere in between these two extremes. The blossoming love between Bud and Lindsey and their desperate battle for survival on the ocean floor provide enough human drama to make THE ABYSS more than just a technical achievement.
After all is said and done, THE ABYSS is not Cameron's strongest work. The film really doesn't break that much new ground. Its mystical feeling is too reminiscent of 2001, and its climax makes me wonder if THE ABYSS should have been called "Close Encounters of the Sub-Oceanic Kind." Without the spiritual and extraterrestrial nonsense, THE ABYSS would have worked splendidly as a straightforward survival thriller. Even so, it remains a complex, challenging must-see for adventure fans, one that will leave your ears ringing, your heart pumping, and your head spinning.
NOTE: THE ABYSS (1993 Special Edition): ***1/2
-- Randy Parker http://www.shoestring.org - "1,000 Voices In The Dark"
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


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Built with the intention to bring back a sort of quirkiness to the world of single page websites which are increasingly become mechanised and commonplace.
The website was designed keeping in mind the characteristics of the youth. A playful mix of illustrations and color was used to evoke a youthful exuberance urging people to go out and play.
A two person team. We decided to build a single page website to produce content with relative ease for the user. The content was iterated upon and developed in a fashion to appeal to the young.
Color was an essential component during the design process. Bold and bright colors were chosen to evoke the emotions of vigor and effervescence.
Enough talk. Scroll to see the website. Hope you like it.
My Role : Concept Design. Website Development.


${head}
${navbar}
All
Default
%for category in categories:
${category}
%endfor
${_('Status')}
${_('Quality Profiles')}
${_('Categories')}
${_('Movies By Year')}
${_('Library Growth')}
${_('Scores')}


To revolutionise the Healthcare sector through this healthtech platform so that each and every citizen of India can get the best medical needs at there allowing budget.So that no one looses their lives just because of few bugs.We are making a family to save our public from the scarcity of services which is forced by their budget parameters.We are fastest, safest and cheapest one stop solution for your medical facilities.We value your lives,ur needs and ur money.We want to be your health guide as well as health care service provider.
To revolutionise the Healthcare sector through this healthtech platform so that each and every citizen of India can get the best medical needs at there allowing budget.So that no one looses their lives just because of few bugs.We are making a family to save our public from the scarcity of services which is forced by their budget parameters.We are fastest, safest and cheapest one stop solution for your medical facilities.We value your lives,ur needs and ur money.We want to be your health guide as well as health care service provider.
All our medicines undergo a three-step quality check process to ensure they are of high quality, Call or Mail us.
ORDER NOWVisudhajivam is India's Largest Online medical store where you can shop for quality online and offline medicines, wellness products.
FIND OUT


{% extends "withnav_template.html" %} {% from "govuk_frontend_jinja/components/back-link/macro.html" import govukBackLink %} {% from "components/page-header.html" import page_header %} {% from "govuk_frontend_jinja/components/button/macro.html" import govukButton %} {% from "components/branding-preview.html" import email_branding_preview %} {% block service_page_title %} Create a government identity logo {% endblock %} {% block backLink %} {{ govukBackLink({"href": back_link }) }} {% endblock %} {% block maincolumn_content %} {{ page_header('Create a government identity logo') }} {% if example %} {{ email_branding_preview(example.id) }} {% endif %}
A government identity logo is made up of:
You will need to enter the text that will appear in the logo.
We will select the appropriate symbol and coloured line for you.
It can take up to 1 working day for us to create a new logo.
{{ govukButton({ "element": "a", "text": "Continue", "href": url_for( '.email_branding_enter_government_identity_logo_text', service_id=service_id, branding_choice=branding_choice ) }) }} {% endblock %}


Microsoft xCloud to Launch in 2020 Including PS4 Controller Support, Now Has 50+ Games
by Marco CocomelloThe new Microsoft xCloud gaming service was fully revealed last night during the X019 showcase. Microsoft has been planning a rollout of the service for some time now and not only announced that it will include PS4 controller support in the form of DualShock 4 controller, but also the service will be rolling out in early 2020 and include a massive list of games (looks at Google Stadia).
RELATED: Rare Announces Everwild, New Exclusive Game for Xbox One and Windows 10
Chances of the service launching in SA when it rolls out are quite slim right now but things could change with the launch of the Azure servers which have been online for months already.
Microsoft claims the prototype xCloud app is up and running and it’s playing well. They are also working with Apple to release it on iOS too. The company has been testing the service already for some time now but will be adding over 50 games to the service from today for those testing the app.
The service will launch as a paid subscription but right now it is running as a free preview. Microsoft plans on combining the Xbox Games Pass offering with the xCloud service next year too further adding to the overall value for money.
Right now, the list of xCloud games stands as the following. We will update you when we learn more about the rollout plan, pricing and release date for Microsoft Project xCloud in the coming months;
- 505 Games
- Bloodstained: Ritual of the Night
- Brothers: A Tale of Two Sons
- Avalanche Studios
- theHunter: Call of the Wild
- Bandai Namco
- Ace Combat 7: Skies Unknown
- Rad
- Soulcalibur VI
- Tales of Vesperia: Definitive Edition
- Tekken 7
- Bigben Interactive
- WRC 7
- Capcom
- Devil May Cry 5
- Codemasters
- F1 2019
- Curve Digital
- For the King
- Devolver Digital
- Absolver
- EA
- Madden NFL 20
- Fatshark Games
- Vermintide 2
- Focus Home Interactive
- Vampyr
- Funcom
- Conan Exiles
- Mutant Year Zero: Road to Eden
- IO Interactive
- Hitman
- Klei Entertainment
- Mark of the Ninja: Remastered
- Koch Media
- Dead Island: Definitive Edition
- KRAFTON
- TERA
- Mad Dog Games LLC
- World War Z
- Pearl Abyss
- Black Desert Online
- Rebellion
- Sniper Elite 4
- SEGA
- Puyo Puyo Champions
- Square Enix
- Just Cause 4
- Shadow of the Tomb Raider: Definitive Edition
- World of Final Fantasy Maxima
- Studio Wildcard
- ARK: Survival Evolved
- Take-Two Interactive
- Borderlands: The Handsome Collection
- WWE 2K20
- Team17
- Overcooked!
- Yoku’s Island Express
- THQ Nordic
- Battle Chasers: Nightwar
- Darksiders 3
- tinyBuild
- Hello Neighbor
- Unknown Worlds
- Subnautica
- Wargaming
- World of Tanks: Mercenaries
- World of Warships: Legends
- Xbox Game Studios
- Crackdown 3
- Forza Horizon 4
- Gears of War: Ultimate Edition
- Gears 5
- Halo 5: Guardians
- Halo Wars 2
- Hellblade: Senua’s Sacrifice
- Killer Instinct
- Ori and the Blind Forest: Definitive Edition
- ReCore: Definitive Edition
- Sea of Thieves
- State of Decay 2
- The Bard’s Tale IV: Director’s Cut
Find out more about xCloud on the official website.


Gif 1 - Banana
Gif 2 - Orange
Gif 3 - Walnut
Gif 4 - Sharpstone
Gif 5 - Sliced Banana
Gif 6 - Gathering
Gif 7 - Skill Increase
Gif 8 - Raw Coconut
Gif 9 - Coconut Shell
Gif 10 - Blue Berry mash
Gif 11 - Gather, hunt, fish, lumber
Gif 12 - Primitive shovel
Gif 13 - Woodworking & Container
Gif 14 - Woodworking & Container 2
Gif 15 - Village building house
Gif 16 - Village building storage
Gif 17 - Village building store
Gif 18 - Village building take
Gif 19 - Shit storing
Gif 20 - Shit taking
Gif 21 - Make/equip armor
Gif 22 - Minion long send
Gif 23 - Recipe Book food
Gif 24 - Recipe book tools
Gif 25 - Recipe book wood
Gif 26 - Recipe Book cook
Gif 27 - Recipe book tai
Gif 28 - Recipe book pottery
Gif 29 - Recipe book construction
Gif 30 - Sidequest A random erectus attacks
Gif 31 - Sidequest A random erectus attacks fight
Gif 32 - Sidequest Sonka
Gif 33 - Sidequest Jokar
Gif 34 - Sidequest Sequioua
Gif 35 - Sidequest Jokar joke
Gif 36 - Sidequest Cathrines
Gif 37 - Sidequest Jokar taking food
Gif 38 - Sidequest Jokar taking food 2
Gif 39 - Sidequest Sonka 2
Gif 40 - Sidequest Gambler
Gif 41 - Sidequest Kula beats u
Gif 42 - Wandering animal
Gif 43 - Sidequest Join Village
Gif 44 - Sidequest Sequioa investment


|
Apache Mesos
|
Classes | |
| struct | Name |
| struct | Warning |
| struct | Warnings |
| struct | Flag |
| class | FlagsBase |
Functions | |
| template<> | |
| Try< mesos::ACLs > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::RateLimits > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::Modules > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::ContainerInfo > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< hashmap< std::string, std::string > > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< std::vector< unsigned int > > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< std::set< std::string > > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::CapabilityInfo > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::Environment > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::RLimitInfo > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::FrameworkID > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::ExecutorID > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::SlaveID > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::internal::Firewall > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::v1::CapabilityInfo > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::v1::RLimitInfo > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::v1::TaskGroupInfo > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< mesos::v1::TaskInfo > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<typename T > | |
| Try< T > | fetch (const std::string &value) |
| template<> | |
| Try< Path > | fetch (const std::string &value) |
| Name | DeprecatedName (const std::string &name) |
| std::ostream & | operator<< (std::ostream &stream, const FlagsBase &flags) |
| template<typename T > | |
| Try< T > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< std::string > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< bool > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< Duration > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< Bytes > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< net::IP > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< JSON::Object > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< JSON::Array > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
| template<> | |
| Try< Path > | parse (const std::string &value) |
| Returns the docker v1 image manifest from the given string. More... | |
|
inline |
| Try<T> flags::fetch | ( | const std::string & | value | ) |
|
inline |
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.
|
inline |
Returns the docker v1 image manifest from the given string.
Parses Roles from text in the form "role1,role2,role3".
Returns the OCI v1 descriptor, image index, image manifest and image configuration from the given string.
Returns the docker v2 image manifest from the given string.


PROV4ITDaTa is available at https://prov4itdata.ilabt.imec.be
An online version of this report is available at https://prov4itdata.ilabt.imec.be/docs/
Data portability is one of the pillars to enable users to control their data on the Web. Initiatives such as the Data Transfer Project (DTP) take a step in this direction, by providing an open-source, service-to-service data portability platform so that individuals could move their data whenever they want. However, such efforts — being hard-coded — miss transparency and interoperability. On the one hand, when data is transferred between services, there is no trust in whether this transfer was of high quality. Assessment would require reviewing the source code, as data provenance is unavailable. On the other hand, complying to this hard-coded platform requires development effort to create custom data models. Existing interoperability standards are neglected.
In PROV4ITDaTa, we create a solution that is fully transparent and has fine-grained configuration to improve interoperability with other data models. Furthermore, the intermediate dataset generated from the source data and its provenance are FAIR resources. To achieve this, we will exploit and advance the existing open-source tools RML.io and Comunica and show its extensibility by directly applying it to the Solid ecosystem.
Combining RML.io and Comunica for a fully transparent transfer process, we improve current data portability approaches. Also, assessing the provenance trail can add trust to a transfer process.  The transfer of personal data can be assessed before the data is accessed, and legal audits can be performed automatically based on the structured and semantically sound provenance trail. To show its applicability and extensibility for decentralized environments, we will connect it to the Solid ecosystem, giving users full control over their data.
This is an intermediate report. As such, some sections are currently intentionally left blank or incomplete.
See Architecture on how we used RML.io to export data from DTP-like services
This work is ongoing
See Components/RMLMapper and Components/Web App on how we automatically generate and showcase data provenance information as an interoperable resource in RDF.
This work is ongoing
Currently, we directly import the exported data in RDF into a Solid pod, see Components/Web App.
This work is ongoing
See Components/RML Mapping Documents and Components/RMLMapper on how we allow personalizable and configurable export of multiple DTP services in RDF, using RML.io.
This work is ongoing
We are currently prototyping this feature, based on the design we made in https://github.com/comunica/comunica/issues/732/.
This work is ongoing
Currently, we directly import the exported data in RDF into a Solid pod, see Components/Web App. To allow for configurability, we already support multiple configurations for exporting the data, see our progress in M4.
This work is ongoing
Our first sprint is finished with an end-to-end solution without query-based importer, see Demonstrator.
graph LR
linkStyle default interpolate basis
RM[RMLMapper]
RMW[RMLMapper Web API]
IMGUR[Imgur]
FLICKR[Flickr]
OTHER[...]
SP[(Pod)]
WA[Web App]
subgraph sgServices [Data Providers]
IMGUR
FLICKR
OTHER
end
subgraph sgRML [RML.io]
RM
RMW
end
subgraph sgSolid [Solid]
SP
end
subgraph PROV4ITDaTa
WA
end
RM --> RMW
RMW --> WA
WA ---|1. Authorization| x( )
x --- IMGUR
x --- FLICKR
x --- OTHER
x --- SP
y( ) -->|2. Consume data from services| RM;
IMGUR --> y;
FLICKR --> y;
OTHER --> y;
WA -->|3. Store| SP
The architecture comprises four main components
The main component is the PROV4ITDaTa Web App, which performs the different steps required for transferring data from services (e.g. Flickr, Imgur, etc.) to a Solid pod.
An RML Mapping provides the means to create semantically enriched RDF data from heterogenous and (semi-) structured sources, using a declarative set of rules (RML).
Describing the Web API as a source in an RML Mapping allows the RMLMapper to determine how requests should be made in order to consume the Web API. Furthermore, it requires a one-time effort and avoids hard-coded implementations for each service to be added. The mapping can easily be reused for — and extended to — similar Web APIs.
The RMLMapper, proxied by the RMLMapper Web API, processes the selected RML Mapping and yields both the generated RDF and provenance data.
In the background, the RML Mapper determines how to consume a Web API based on its description, without the need for integrating code that is tightly coupled to a specific Web API. Such hard-coded implementations are error-prone and time-consuming (consider, for example, the creation of tests and rebuilding the application every time a service is added).
Solid pods can be used to create a Personal Information Management System (PIMS), giving individuals more control over their personal data. Individuals can manage their personal data in secure online decentralized storage systems called pods: secure personal web servers for data. All data in a pod is accessible via the Solid Protocol.
When data is stored in someone's pod, they control who and what can access it. and share them when and with whom they choose using Solid pods. Providers of online services and advertisers need to interact with the Solid pod if they plan to process the individual's data. This enables a human centric approach to personal information and new business models.
Any kind of data can be stored in a Solid pod, however, the ability to store Linked Data is what makes Solid special. Linked Data gives Solid a common way to describe things and how they relate to each other, in a way that other people and machines can understand. This means that the data stored by Solid is portable and completely interoperable.
Anyone or anything that accesses data in a Solid pod uses a unique ID, authenticated by a decentralized extension of OpenID Connect. Solid's access control system uses these IDs to determine whether a person or application has access to a resource in a pod.
The Web App is the main entrypoint, allowing the user to select and execute an RML Mapping describing which Data Provider to consume data from, and how that data will be transformed to RDF.
Upon selecting an RML Mapping, the user can view and download its contents through the corresponding "RML Rules"-card (see Demonstrator). Using this RML Mapping, the user can inspect how its data will be processed prior to execution, and without requiring to inspect the source code.
At this point, the raw RDF RML description is shown to the user, however, since it is a structured semantic format, automatic visualizations and explanatory descriptions can be created.
The Web App guides the user through the necessary authorization steps, prior to execution. Given the vulnerable information being exchanged, communication with the Web App occurs over HTTPS.
After successful execution, the generated RDF and provenance become available for inspection and download. The provenance information, structured using the W3C recommended standard PROV-O, allows further automatic processing to validate that all data is processed correctly acccording to the users expectations.
By providing the user not only with the generated RDF but also with the data provenance, we address the transparency requirement other solutions lack.
The resulting RDF is stored onto the user's Solid pod, which can be verified through the "Solid"-card (see Demonstrator).
As a result, this web app allows to unambiguously define the user's data using an RML Mapping and transparently transfer it between services. The automatically generated provenance allows for inspection and validation of the processing.
After reviewing the DTP repository, we concluded that although utilitary functions could be reused in a later stage, we currently focus on an end-to-end system using solely RML.io and Comunica. On the one hand, because these technologies allow more advanced data transfer processes than DTP (such as joining data from different services on the fly), on the other hand, because integration efforts would put a too high burden on the current development sprints.
Once we have successfully created and validated our end-to-end demonstrator, we will re-evaluate DTP and how we can properly integrate our technologies.
Below, a sketch is found into how we can integrate our technologies: the DTP Input-Service utilitary functions are reused to authenticate and fetch data, the RML processing component and Comunica engine are wrapped in a DTP Data model interface as a new generic DTP component.
We set out following requirements, and linked them to the specific sections of the features we currently support,
In general, our system is comparable to DTP, as it supports (and is extensible to) multiple data sources, and allows data import into SOLID pods (see this section).
The upper part of the landing page provides the means for quickly initiating the transfer from a service to a Solid pod. Once the user selects the desired RML Mapping, the transfer can be initiated by clicking the [Execute]
-button. Initially, the user will be prompted to authorize with the Solid pod and the service defined as source in the RML Mapping.
The lower part allows the user to review
Furthermore, the user can inspect and verify that the generated RDF was successfully stored on to the Solid pod.
The walkthrough above illustrates the flow of transferring data from a Data Provider (in this case, Flickr) to a Solid pod.
[Execute]
.Our toolchain is extensible to a wide variety of service. We opted to initially support Flickr and Imgur. Both services share a common purpose: uploading and sharing image-content. However, despite this commonality, they differ in various aspects such as the underlying data model and how the resources should be accessed.
Our current use cases already showcase the flexibility of our approach, however, more use cases will be supported in following sprints.
Flickr is an online photo management and sharing application. Its resources are made available through the Flickr API. Flickr follows the OAuth1.0a protocol which requires that requests to protected resources are signed using the Consumer Secret and Token Secret. By specifying the protocol in the RML Mapping the RMLMapper-JAVA takes care of the necessary steps for creating requests to protected resources. This also contributes to the extensibility of our solution: when a service decides to change to another protocol, only changes to the RML Mapping must be made. Hence, avoiding the need for rebuilding code.
The data fields mapped from a Flickr Collection resource are
id
: a unique identifier for that Collection resourcetitle
: the title of the Collection resourcedescription
: the description of the Collection resourceThe data fields mapped from a Flickr Photoset resource are
id
: a unique identifier for that Photoset resourceowner
: owner of the Photoset resourceImgur, an image hosting and sharing website, enables its users to quickly upload and share images and GIFs on social media platforms (e.g. Reddit, Twitter, etc.). Unlike the Flickr API, the Imgur API uses OAuth 2.0. When making requests for protected resources it suffices to add a bearer token to the HTTP headers.
The data fields mapped from the Imgur image resources are
id
: a unique identifier for that imagelink
: the URL to the imagedescription
: the description of the imageviews
: the number of viewsheight
: height of the imagewidth
: width of the imageWe plan to include a more technical section detailing how different Data Providers can be handled uniformly using the RML.io toolchain
Within this project, we envisioned following features.
By supporting existing standards where possible, we aim to minimize the required foundational work. Widespread adoption and understanding of existing standards makes this possible.
PROV4ITDaTa is an Open Source initiative to transparently transfer data from Data Providers to your own personal data vault.
It makes use of Open Standards such as:
It contributes to following Open Source projects:
In later iterations, it is assumed we will include Comunica, a knowledge graph querying framework, to further expand the functionalities of PROV4ITDaTa.
In PROV4ITDaTa, the original Data Provider data is transformed into well-defined RDF knowledge graphs. As such, the resulting data have a clear context and meaning by using established semantic ontologies, and the original data is made interoperable.
Instead of relying on a hard-coded system to generate the RDF knowledge graph, we make use of the RDF Mapping Language: a language to declaratively describe how to generate RDF knowledge graphs from heterogeneous data sources. These mapping files are created manually by experts, to ensure that established ontologies are used, and high-quality knowledge graphs are generated.
As the RML Mappings can include data transformations, we can ensure data is cleansed during the data transfer process.
The resulting data transfer process adheres to the FAIR principles, as the RML Mappings are
As such, the data transfer process is fully transparent.
Provenance and other metadataare essential for determining ownership and trust. However, defining such metadata typically stayed independent of the generation process. In most cases, metadata is manually defined by the data publishers, rather than produced by the involved applications. In PROV4ITDaTa, we rely on the RML Mappings that specify how the RDF knowledge graphs are generated to automatically and incrementally generate complete provenance and metadata information of the data transfer process. This way, it is assured that the metadata information is accurate, consistent and complete. The resulting provenance information can be inspected by the user once the transfer process is completed.
The provenance information is described using the W3C recommended PROV-O standard. It covers the RDF knowledge graph generation, including metadata for the mapping rules definition and the data descriptions. By automating the provenance and metadata generation relying on the machine interpretable descriptions in the RML Mappings, metadata is generated in a systematic way and the generated provenance and metadata information becomes more accurate, consistent and complete.
Because of this provenance information the data transfer process is not only fully transparent before, but also after processing the data.
By relying on Semantic Web technologies, we achieve interoperability on multiple levels.
Our solution provides multiple levels of Syntactic Interoperability by leveraging the standardized Turtle-syntax for
Semantic Interoperability is achieved when multiple systems are able to develop the same understanding of the data. To this end, the following choices where made
Our solution solely produces RDF data, which by itself, offers the means to accomodate for Structural Interoperability.
Storing the transformed data, provenance, and other metadata using the RDF model enables us to correctly integrate the resulting data sets from different Data Providers.
By transferring data from Data Providers to the user's Solid pod we leverage Data Portability, which is one of Solid's primary features.
As there are multiple parties involved in the data transfer (the user, Data Providers, Solid pods, and PROV4ITDaTa Web App) not one person or entity can fully ensure the security and privacy of the entire system. Instead, responsibility is shared among all the participants. Here are some of the responsibilities and leading practices that contribute to the security and privacy of the system. We will describe how these responsabilities are tackled, specifically in PROV4ITDaTa.
When transferring data between providers, data minimization should be practiced. Practically this means that all parties should only process and retain the minimum set of data that is needed to provide their service. In the PROV4ITDaTa components, no data is stored, only processed. The user can inspect exactly which data fields are processed by inspecting the RML Mapping, and how these data fields are processed by inspecting the provenance data. All generated data is sent to the Solid pod, which is under full control of the user.
All PROV4ITDaTa transfer processes are initiated by the user, never automatically. For each transfer process, the user needs to (re-)authenticate the PROV4ITDaTa process — for both the Data Providers as the Solid pod — using standardized authentication mechanisms such as OAuth where possible. Also, no authentication tokens are stored after the process completes. This to guarantee no unwilling data transfer processes are initiated.
The user further has full control to which Solid pod its data is stored, and by providing multiple alternative RML Mappings, it can personalize how the data is processed.
Currently, a single Solid pod provider is supported (https://solidcommunity.net). Our roadmap includes the possibility to choose your own Solid pod provider.
Where possible, only minimal (read-only) scopes are requested for Auth Tokens at the different Data Providers. This further increases transparency into exactly what data will be moved, and increases security so that if tokens are somehow leaked they have the minimal possible privilege.
For example, for the Flickr-service we only request the
read
scope, as this is possible in the Flickr API. For the Imgur API, however, there is no option to set a specific scope, so the default scope is used.
PROV4ITDaTa does not delete data from the Data Providers as part of the transfer. This functionality is left to the Data Providers.
PROV4ITDaTa stores data only for the duration of the transfer process, and all data transfer uses transport layer security over secure HTTPS connections. The provenance information is available for the remainder of the user session, and storage of that provenance information needs to be initiated by the user if needed.
All authentication tokens are stored solely on the client-side for the duration of the transfer process, and are thus ephemeral: these tokens are automatically removed when the user's browser session ends.
The Data Providers should have strong abuse protections built into their APIs. Due to the fact that PROV4ITDaTa retains no user data beyond the life of a single transfer, the Data Providers have the best tools to be able to detect and respond to abusive behavior, e.g., using standard protocols such as OAuth to obtain API keys.
In PROV4ITData, RML Mappings are used to configure the data transfer process. Multiple RML Mappings are available for the user, allowing for personalization: the user can inspect the different RML Mappings, see which data fields are being processed, and based on its context, choose which RML Mapping to execute.
In PROV4ITDaTa, we ensure quality, both on data level as on software level.
The RML Mappings allow to transform data from heterogeneous data sources into RDF Knowledge graphs. The RML.io toolchain has been used in a variety of existing projects and use cases, and allow to clean the original data by means of FnO functions.
The mappings are created manually by experts to ensure best practices, and use established vocabularies.
All processing tools have been tested and applied in production-like environments (TRL7), and consist of unit and integration tests for
At https://rml.io/implementation-report/, you can compare our RMLMapper-JAVA processor with other RML processors.
As defined by Article 4 of the GDPR, PROV4ITData acts as a data processor for the end-user (which become their own data controllers, conform the EU digital sovereignty vision), as it allows individuals to easily transfer their files and data directly from Data Providers to their personal Solid pods.
This does not influence the GDPR roles of its complementary modules. Each Data Provider will maintain full control over determining who has access to the data stored on their systems. Access tokens need to be requested from each Data Provider the user would like to transfer data from, and from each Solid pod it would like to transfer data to. PROV4ITDaTa will not mediate data access rights between Data Providers or Solid pods. This ensures that API quotas continue to be managed by the Data Providers, thereby helping to mitigate traffic spikes and negative impacts across Data Providers.
The security requirements are in line with Article 32 of the GDRP:
At the time of writing, consent of the user is given via the authorization flows in the different Data Providers and Solid pods. We plan to include a clear privacy statement in the demonstrator.
Currently, PROV4ITData showcases how users can transparently transfer their data from different Data Providers to their own Solid pod, using the RML.io toolchain. We showcase transparency (by providing the RML Mappings the and provenance data), and flexibility (by providing multiple Data Providers).
In our roadmap, we envision a general improvement of our demonstrator, include a provenance-aware query-based importer using Comunica, and provide integration alternatives with, e.g., DTP.


I have 39 projects on Github
Basic examples to authenticate and fetch data using the Spotify Web API
Create the pagination by using PL/SQL in Oracle
MERN stack
Shuffling musics based on Spotify music platform. (Premium membership required)
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A standard style for README files
django/django_rest_api/python/docker/travis_ci
User jest and enzyme to test react project
Web Crawler created by python
Python Django
Rewrite Previous Blog
Sum up the important point of using oracle database
A Node.js program that use HTML, CSS, JQuery, Bootstrap, Angular, JSON, EXPRESS, MongoDB, REST
Use Vue
Use Java to connect MS SQL server and operate the database
User junit 4 to test program
This is for test json place holder fake reset api
React+Apollo+GraphQL
In this lesson we're adding tests into our application!
React Weather SPA
UserManagerment with Tomcat, J2EE,SQL, Servlet, JSP
UI design by software Axure RP 8
implement axios by typescript
Java game using GUI, IO, Event and multi-threading programming
The methods and methodologies used in analyzing and designing various types of systems.
Show how to add donate button in github
The project is based on online tutorial
Set up a modern web app by running one command.
convert the currency
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信息2:
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subtable
Code
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Seasoned chicken, red onion on a BBQ sauce base.
Prawns, rasher bacon, feta, capsicum, fresh tomato.
20 pieces of 100% chicken breast. Served with ranch sauce.
Diet Coke.


Visualization
How to render the tags in rviz
The tagslam_viz
package has python code to generate urdf models
for the tags. The urdf is generated for all tags listed in the
poses.yaml
file that is produced when you run TagSLAM. Here is how to
generate the urdf, and load it into the ROS parameter space:
roslaunch tagslam_viz visualize_tags.launch tag_id_file:=$HOME/.ros/poses.yaml
Now in rviz, you add a “RobotModel”, and change the “Robot Description” from “robot_description” to “tags”. All that is missing now is a transform from tag to world frame. So run TagSLAM again, and you should see the tags rendered.
How to render cameras in rviz
The tagslam_viz
also has code to generate a simple camera urdf
model for each camera in cameras.yaml
. Run it like this:
roslaunch tagslam_viz visualize_cameras.launch cameras_file:=path_to_your_cameras.yaml
Just like for the tags, now add a “RobotModel” in rviz, and change the “Robot Description” from “robot_description” to “cameras”. The cameras should display once valid transforms are available.
How to get the rviz “Camera” feature to work
For the “Camera” feature in rviz to work properly you need:
- an undistorted camera image.
- a valid and synchronized “camera_info” topic in the bag
- a valid transform from camera to map
- a matching “frame_id” for transform, camera_info, and image
Only if all these requirements are fulfilled will rviz overlay the camera image with the 3d world.
Massage the bag
To start, the topics in your bag should look like this:
topics: /camera/camera_info 1724 msgs : sensor_msgs/CameraInfo
/camera/compressed 1724 msgs : sensor_msgs/CompressedImage
You can massage the bag topic scheme by using the topic renamer tool:
rosrun rosbag topic_renamer.py <in topic> <in bag> <out topic> <out bag>
If you don’t have the camera info in the bag, add it like so:
rosrun tagslam add_camera_info.py --out_bag output.bag --caminfo_file camerainfo.yaml --caminfo_topic /camera/camera_info --image_topic /camera/compressed input.bag
Verify that your camera_info and image messages have a frame_id of “cam0” in the header. If not, change the frame_id like this:
rosrun bag_tools change_frame_id.py -o OUTPUT_BAGFILE -i INPUT_BAGFILE -f cam0 -t /camera/camera_info /camera/compressed
Run rviz and necessary modules
First, run a module to decompress the image:
rosrun image_transport republish compressed in:=/camera out:=/camera/image_raw
Now you need to run the image_proc module in the namespace of your camera to get a rectified (undistorted) image. This is very important. If you use the non-rectified image, the projections done by rviz will not be lining up with the camera image.
ROS_NAMESPACE=camera rosrun image_proc image_proc
Next, create a Camera window in rviz, subscribing to the topic “/camera/image_rect_color”. Then run a detector node to decode the images, run tagslam to produce valid cam0-to-map transforms, and play the bag. The Camera in rviz should start displaying images now.
To get the tags to visualize, first run tagslam for a while so you have all the valid tag poses. Then dump them into a file:
rosservice call /tagslam/dump
and load all required tags into the parameter space:
roslaunch tagslam_viz visualize_tags.launch tag_id_file:=$HOME/.ros/poses.yaml
Likewise all cameras:
roslaunch tagslam_viz visualize_tags.launch cameras_file:=full_path_to_cameras.yaml
If the camera calibration is correct, the resulting Camera display in rviz should have only small projection errors, as in the image below.


Write the missing base case
for function "largest" such that it finds the
largest number in array "numbers". Note that
when "largest" is first called, "index" is 0.
Notice that the index variable is incremented every time the recursive call is executed. The base case should be executed on the last element of the array.
The index for this element is one less than the length of the array.


Progress on minimum required funding
Progress on turning all tickets into money
| Date | Seller | Type | Value |
|---|
{amount} Tickets sold, ${value} total. We need to fund ${minfund} min [{minpercent}% done], and are able to fund ${maxfund} [{maxpercent}% done] using tickets.


BikeTag.org is a place for people to see the most recent Bike Tags in their city and participate in the game in an easy and simple way, without needing to login to anything. The game was originally found on /r/BikingATX, that was then adopted by /r/bikeLA, that was then adopted by /r/chibike. For reddit credit: /u/america_yall of /r/BikingATX who started the first run of the game.


Solace Web Messaging API for JavaScript
Event Monitor tutorial
Event Subscriber to router event topic "Client Connect" events
IE 11 only: If you are running this sample from the local filesystem, click the "Allow blocked content" button in the popup below to enable JavaScript.
Solace router host url
Message-vpn
Username
Password
Connect
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ImageAnn Testing UI
Host Address:
Toggle
Status of last server request:
OK
Time for server to respond:
Time in (ms):
Ping
ping
Image Viewer
Albums
Categories
Tag Search
Mode
Enter tag annotation here
Tag notes displayed here
Selected Image Album Name:
Selected Image File Name:
Show Annotations
Region Annotations:
Whole Image Tags:
Images
showImages
Album
Album
eraseImage
Album
Image Name
getImage
Album
Image Name
Terms
showTerms
Category
uploadTerms
Terms
Category
eraseTerms
Term Name
Category
Albums
showAlbums
createAlbum
Name
eraseAlbum
Name
Categories
showCategories
createCategory
Name
eraseCategory
Name
JSON requests will be shown here