|
XenForo
1.5.12
|
Public Member Functions | |
| getNewsFeedItemById ($newsFeedId) | |
| getNewsFeedForUser (array $user, $fetchOlderThanId=0, array $viewingUser=null) | |
| getNewsFeed (array $conditions=array(), $fetchOlderThanId=0, array $viewingUser=null) | |
| fillOutNewsFeedItems (array $newsFeed, array $viewingUser) | |
| getNewsFeedItemsForUser (array $viewingUser, array $conditions=array(), $maxItems=null) | |
| getNewsFeedItems (array $conditions=array(), array $viewingUser, $maxItems=null) | |
| getNewestNewsFeedIdFromArray (array $newsFeed) | |
| getOldestNewsFeedIdFromArray (array $newsFeed) | |
| getNewsFeedCache ($userId) | |
| deleteNewsFeedCache ($userId) | |
| publish ($userId, $username, $contentType, $contentId, $action, array $extraData=null) | |
| delete ($contentType, $contentId, $userId=null, $action=null) | |
| deleteOldNewsFeedItems ($dateCut=null) | |
| Public Member Functions inherited from XenForo_Model | |
| __construct () | |
| setLocalCacheData ($name, $value) | |
| resetLocalCacheData ($name=null) | |
| getModelFromCache ($class) | |
| setAllowCachedRead ($allowCachedRead) | |
| fetchAllKeyed ($sql, $key, $bind=array(), $nullPrefix='') | |
| limitQueryResults ($query, $limit, $offset=0) | |
| addFetchOptionJoin (array &$fetchOptions, $join) | |
| getConditionsForClause (array $sqlConditions) | |
| getOrderByClause (array $choices, array $fetchOptions, $defaultOrderSql='') | |
| addPositionLimit ($table, $limit, $offset=0, $column='position') | |
| prepareLimitFetchOptions (array $fetchOptions) | |
| prepareStateLimitFromConditions (array $fetchOptions, $table='', $stateField='message_state', $userField='user_id') | |
| standardizePermissionsAndUserId (&$permissions, &$userId=0) | |
| standardizeNodePermissionsAndUserId ($nodeId, &$permissions, &$userId=0) | |
| standardizePermissionCombinationIdAndUserId (&$permissionCombinationId, &$userId=0) | |
| standardizeViewingUserReference (array &$viewingUser=null) | |
| standardizeViewingUserReferenceForNode ($nodeId, array &$viewingUser=null, array &$nodePermissions=null) | |
| unserializePermissionsInList (array $items, $serializedKey, $targetKey='permissions') | |
| getContentTypesWithField ($fieldName) | |
| getContentTypeField ($contentType, $fieldName) | |
| getCutOffCondition ($column, $condition) | |
| assertValidCutOffOperator ($operator, $allowBetween=false) | |
Protected Member Functions | |
| _cacheHandlersForNewsFeed (array $newsFeed) | |
| _getContentForNewsFeedItems (array $data, array $viewingUser) | |
| _getViewableNewsFeedItems (array $items, array $viewingUser) | |
| _mergeLatestNewsFeedItemsWithCache (array $newsFeed, array $cachedItems) | |
| _prepareNewsFeedItems (array $items, array $viewingUser) | |
| _prepareNewsFeedItem (array $item, $handlerClassName, array $viewingUser) | |
| _saveCache ($userId, array $newsFeed) | |
| _getNewsFeedHandlerForContent ($contentType) | |
| _getNewsFeedHandlerFromCache ($contentType) | |
| _getUserModel () | |
| Protected Member Functions inherited from XenForo_Model | |
| _getLocalCacheData ($name) | |
| _getDataRegistryModel () | |
| _getCache ($forceCachedRead=false) | |
| _getDb () | |
Protected Attributes | |
| $_handlerCache = array() | |
| Protected Attributes inherited from XenForo_Model | |
| $_cache = null | |
| $_db = null | |
| $_allowCachedRead = true | |
| $_localCacheData = array() | |
| $_modelCache = array() | |
Additional Inherited Members | |
| Static Public Member Functions inherited from XenForo_Model | |
| static | create ($class) |
Model class for manipulating the news feed.
|
protected |
Caches an instance of every news feed handler required by the data provided
| array | $newsFeed |
|
protected |
Fetches content data for news feed items
| array | $data | Raw news feed data |
| array | $viewingUser | Information about the viewing user (keys: user_id, permission_combination_id, permissions) |
|
protected |
Fetches an instance of the specified news feed handler class
| string | $contentType |
|
protected |
Fetches an instance of the user model
|
protected |
Filters out unviewable news feed items and returns only those the user can view.
| array | $items | |
| array | $viewingUser |
|
protected |
Takes all new feed items and appends old items from the cache until the array contains options->newsFeedMaxItems items
| array | $newsFeed | |
| array | $cachedItems |
|
protected |
Wraps around the prepareX functions in the handler class for each content type. Also does basic setup such as fetching user avatars.
| array | $newsFeedItem | |
| string | $handlerClassName | |
| array | $viewingUser | Information about the viewing user (keys: user_id, permission_combination_id, permissions) |
|
protected |
Runs prepareNewsFeedItem on an array of items
| array | $items | |
| array | $viewingUser | Information about the viewing user (keys: user_id, permission_combination_id, permissions) |
|
protected |
Saves a user's news feed into their cache
| integer | $userId | |
| array | $newsFeed |
| delete | ( | $contentType, | |
| $contentId, | |||
$userId = null , |
|||
$action = null |
|||
| ) |
Permanently delete an item or items from the news feed
| string | $contentType | |
| integer | $contentId | |
| integer | $userId | (optional) |
| string | $action | (optional) |
| deleteNewsFeedCache | ( | $userId | ) |
Clears a user's cache, forcing a clean fetch on the next news feed load
| integer | $userId |
| deleteOldNewsFeedItems | ( | $dateCut = null | ) |
Deletes old news feed items. This does not trigger a cache rebuild, so a user could keep old records around until they're pushed off.
| integer | null | $dateCut | Uses default setting if null |
| fillOutNewsFeedItems | ( | array | $newsFeed, |
| array | $viewingUser | ||
| ) |
Fills out a collection of news feed items, to include the necessary content and prepares them for view. Also filters out unviewable items.
| array | $newsFeed | |
| array | $viewingUser |
| getNewestNewsFeedIdFromArray | ( | array | $newsFeed | ) |
Gets the ID of the newest feed item in an array of feed items
| array | News feed array |
| getNewsFeed | ( | array | $conditions = array() , |
$fetchOlderThanId = 0 , |
|||
| array | $viewingUser = null |
||
| ) |
Gets a news feed with the specified conditions.
| array | $conditions | |
| integer | $fetchOlderThanId | If > 0, only fetches items with a lower ID than this |
| array | null | $viewingUser |
| getNewsFeedCache | ( | $userId | ) |
Fetches a user's cached news feed
| integer | $userId |
| getNewsFeedForUser | ( | array | $user, |
$fetchOlderThanId = 0 , |
|||
| array | $viewingUser = null |
||
| ) |
Returns news feed data for the specified user. By default, returns the most recent items unless a 'fetchOlderThanId' is specified.
| array | $user | |
| integer | If specified, switches the mode of the function to return results older than the specified news feed id | |
| array | null | $viewingUser | Information about the viewing user (keys: user_id, permission_combination_id, permissions) or null for visitor |
| getNewsFeedItemById | ( | $newsFeedId | ) |
Fetches a single news feed item using its ID
| integer | $newsFeedId |
| getNewsFeedItems | ( | array | $conditions = array() , |
| array | $viewingUser, | ||
$maxItems = null |
|||
| ) |
Gets news feed items matching the given conditions.
| array | $conditions | |
| array | $viewingUser | |
| integer | null | $maxItems |
| getNewsFeedItemsForUser | ( | array | $viewingUser, |
| array | $conditions = array() , |
||
$maxItems = null |
|||
| ) |
Gets news feed items for a particular viewing user. This will get news feed items for all user he/she follows.
| array | $viewingUser | |
| array | $conditions | |
| integer | null | $maxItems |
| getOldestNewsFeedIdFromArray | ( | array | $newsFeed | ) |
Gets the ID of the oldest feed item in an array of news feed items
| array | News feed array |
| publish | ( | $userId, | |
| $username, | |||
| $contentType, | |||
| $contentId, | |||
| $action, | |||
| array | $extraData = null |
||
| ) |
Publish a news feed item
| integer | $userId | |
| string | $username | |
| string | $contentType | |
| integer | $contentId | |
| string | $action | |
| array | $extraData |


What should a good About Us page contain?
I need to start this article by qualifying what makes an amazing About Us page. The reason for this is that some About Us pages look amazing but have terrible content whilst others look terrible but grab your attention immediately. The list I have compiled here are based on the fact that they:
1. Get the point across
First and foremost an About Us page has to get a point across. Everything else is completely useless unless the content and the layout is achieving a goal. That goal is to tell the user who you are by showing them what you can do for them or have done for others.
2. Quickly direct you to useful content or people
Some About Us pages spend the whole time talking about what it is that the company does and nothing about the staff members. Some do the opposite. Good pages should know why you are on the page and what you’re trying to find quickly.
3. Give you authenticity statements
A good About Us page always needs to have some mention of past successes, achievements, social proof, etc. Giving concrete examples of why your site or blog is worth reading is extremely important for these pages.
4. Contain an email sign up form
Since writing this post I have included an email sign up form on my About page and have seen a hugely successful subscriber rate. It seems that people want to subscribe to you while they are reading about you! I didn’t want to go in to too much detail here because I am going to talk about the advantages of each About Us page as we go through them. I’m hoping to use this post as a way of showing you what I believe you should be doing on your own page.
This is not a real about us page but here, you can learn how to write a good about us page. Hopefully, it helps you to write a good about us page in the future.


Automatic Mixed Precision package - torch.cuda.amp¶
torch.cuda.amp
provides convenience methods for mixed precision,
where some operations use the torch.float32
(float
) datatype and other operations
use torch.float16
(half
). Some ops, like linear layers and convolutions,
are much faster in float16
. Other ops, like reductions, often require the dynamic
range of float32
. Mixed precision tries to match each op to its appropriate datatype.
Ordinarily, “automatic mixed precision training” uses torch.cuda.amp.autocast
and
torch.cuda.amp.GradScaler
together, as shown in the Automatic Mixed Precision examples
and Automatic Mixed Precision recipe.
However, autocast
and GradScaler
are modular, and may be used separately if desired.
Autocasting¶
-
class
torch.cuda.amp.
autocast
(enabled=True)[source]¶ Instances of
autocast
serve as context managers or decorators that allow regions of your script to run in mixed precision.In these regions, CUDA ops run in an op-specific dtype chosen by autocast to improve performance while maintaining accuracy. See the Autocast Op Reference for details.
When entering an autocast-enabled region, Tensors may be any type. You should not call
.half()
on your model(s) or inputs when using autocasting.autocast
should wrap only the forward pass(es) of your network, including the loss computation(s). Backward passes under autocast are not recommended. Backward ops run in the same type that autocast used for corresponding forward ops.Example:
# Creates model and optimizer in default precision model = Net().cuda() optimizer = optim.SGD(model.parameters(), ...) for input, target in data: optimizer.zero_grad() # Enables autocasting for the forward pass (model + loss) with autocast(): output = model(input) loss = loss_fn(output, target) # Exits the context manager before backward() loss.backward() optimizer.step()
See the Automatic Mixed Precision examples for usage (along with gradient scaling) in more complex scenarios (e.g., gradient penalty, multiple models/losses, custom autograd functions).
autocast
can also be used as a decorator, e.g., on theforward
method of your model:class AutocastModel(nn.Module): ... @autocast() def forward(self, input): ...
Floating-point Tensors produced in an autocast-enabled region may be
float16
. After returning to an autocast-disabled region, using them with floating-point Tensors of different dtypes may cause type mismatch errors. If so, cast the Tensor(s) produced in the autocast region back tofloat32
(or other dtype if desired). If a Tensor from the autocast region is alreadyfloat32
, the cast is a no-op, and incurs no additional overhead. Example:# Creates some tensors in default dtype (here assumed to be float32) a_float32 = torch.rand((8, 8), device="cuda") b_float32 = torch.rand((8, 8), device="cuda") c_float32 = torch.rand((8, 8), device="cuda") d_float32 = torch.rand((8, 8), device="cuda") with autocast(): # torch.mm is on autocast's list of ops that should run in float16. # Inputs are float32, but the op runs in float16 and produces float16 output. # No manual casts are required. e_float16 = torch.mm(a_float32, b_float32) # Also handles mixed input types f_float16 = torch.mm(d_float32, e_float16) # After exiting autocast, calls f_float16.float() to use with d_float32 g_float32 = torch.mm(d_float32, f_float16.float())
Type mismatch errors in an autocast-enabled region are a bug; if this is what you observe, please file an issue.
autocast(enabled=False)
subregions can be nested in autocast-enabled regions. Locally disabling autocast can be useful, for example, if you want to force a subregion to run in a particulardtype
.  In the subregion, inputs from the surrounding region should be cast todtype
before use:# Creates some tensors in default dtype (here assumed to be float32) a_float32 = torch.rand((8, 8), device="cuda") b_float32 = torch.rand((8, 8), device="cuda") c_float32 = torch.rand((8, 8), device="cuda") d_float32 = torch.rand((8, 8), device="cuda") with autocast(): e_float16 = torch.mm(a_float32, b_float32) with autocast(enabled=False): # Calls e_float16.float() to ensure float32 execution # (necessary because e_float16 was created in an autocasted region) f_float32 = torch.mm(c_float32, e_float16.float()) # No manual casts are required when re-entering the autocast-enabled region. # torch.mm again runs in float16 and produces float16 output, regardless of input types. g_float16 = torch.mm(d_float32, f_float32)
The autocast state is thread-local. If you want it enabled in a new thread, the context manager or decorator must be invoked in that thread. This affects
torch.nn.DataParallel
andtorch.nn.parallel.DistributedDataParallel
when used with more than one GPU per process (see Working with Multiple GPUs).- Parameters
enabled (bool, optional, default=True) – Whether autocasting should be enabled in the region.
-
torch.cuda.amp.
custom_fwd
(fwd=None, **kwargs)[source]¶ Helper decorator for
forward
methods of custom autograd functions (subclasses oftorch.autograd.Function
). See the example page for more detail.- Parameters
cast_inputs (
torch.dtype
or None, optional, default=None) – If notNone
, whenforward
runs in an autocast-enabled region, casts incoming floating-point CUDA Tensors to the target dtype (non-floating-point Tensors are not affected), then executesforward
with autocast disabled. IfNone
,forward
’s internal ops execute with the current autocast state.
Note
If the decorated
forward
is called outside an autocast-enabled region,custom_fwd
is a no-op andcast_inputs
has no effect.
-
torch.cuda.amp.
custom_bwd
(bwd)[source]¶ Helper decorator for backward methods of custom autograd functions (subclasses of
torch.autograd.Function
). Ensures thatbackward
executes with the same autocast state asforward
. See the example page for more detail.
Gradient Scaling¶
If the forward pass for a particular op has float16
inputs, the backward pass for
that op will produce float16
gradients.
Gradient values with small magnitudes may not be representable in float16
.
These values will flush to zero (“underflow”), so the update for the corresponding parameters will be lost.
To prevent underflow, “gradient scaling” multiplies the network’s loss(es) by a scale factor and invokes a backward pass on the scaled loss(es). Gradients flowing backward through the network are then scaled by the same factor. In other words, gradient values have a larger magnitude, so they don’t flush to zero.
Each parameter’s gradient (.grad
attribute) should be unscaled before the optimizer
updates the parameters, so the scale factor does not interfere with the learning rate.
-
class
torch.cuda.amp.
GradScaler
(init_scale=65536.0, growth_factor=2.0, backoff_factor=0.5, growth_interval=2000, enabled=True)[source]¶ -
-
get_scale
()[source]¶ Returns a Python float containing the current scale, or 1.0 if scaling is disabled.
Warning
get_scale()
incurs a CPU-GPU sync.
-
load_state_dict
(state_dict)[source]¶ Loads the scaler state. If this instance is disabled,
load_state_dict()
is a no-op.- Parameters
state_dict (dict) – scaler state. Should be an object returned from a call to
state_dict()
.
-
scale
(outputs)[source]¶ Multiplies (‘scales’) a tensor or list of tensors by the scale factor.
Returns scaled outputs. If this instance of
GradScaler
is not enabled, outputs are returned unmodified.- Parameters
outputs (Tensor or iterable of Tensors) – Outputs to scale.
-
set_backoff_factor
(new_factor)[source]¶ - Parameters
new_scale (float) – Value to use as the new scale backoff factor.
-
set_growth_factor
(new_factor)[source]¶ - Parameters
new_scale (float) – Value to use as the new scale growth factor.
-
set_growth_interval
(new_interval)[source]¶ - Parameters
new_interval (int) – Value to use as the new growth interval.
-
state_dict
()[source]¶ Returns the state of the scaler as a
dict
. It contains five entries:"scale"
- a Python float containing the current scale"growth_factor"
- a Python float containing the current growth factor"backoff_factor"
- a Python float containing the current backoff factor"growth_interval"
- a Python int containing the current growth interval"_growth_tracker"
- a Python int containing the number of recent consecutive unskipped steps.
If this instance is not enabled, returns an empty dict.
Note
If you wish to checkpoint the scaler’s state after a particular iteration,
state_dict()
should be called afterupdate()
.
-
step
(optimizer, *args, **kwargs)[source]¶ step()
carries out the following two operations:Internally invokes
unscale_(optimizer)
(unlessunscale_()
was explicitly called foroptimizer
earlier in the iteration). As part of theunscale_()
, gradients are checked for infs/NaNs.If no inf/NaN gradients are found, invokes
optimizer.step()
using the unscaled gradients. Otherwise,optimizer.step()
is skipped to avoid corrupting the params.
*args
and**kwargs
are forwarded tooptimizer.step()
.Returns the return value of
optimizer.step(*args, **kwargs)
.- Parameters
optimizer (torch.optim.Optimizer) – Optimizer that applies the gradients.
args – Any arguments.
kwargs – Any keyword arguments.
Warning
Closure use is not currently supported.
-
unscale_
(optimizer)[source]¶ Divides (“unscales”) the optimizer’s gradient tensors by the scale factor.
unscale_()
is optional, serving cases where you need to modify or inspect gradients between the backward pass(es) andstep()
. Ifunscale_()
is not called explicitly, gradients will be unscaled automatically duringstep()
.Simple example, using
unscale_()
to enable clipping of unscaled gradients:... scaler.scale(loss).backward() scaler.unscale_(optimizer) torch.nn.utils.clip_grad_norm_(model.parameters(), max_norm) scaler.step(optimizer) scaler.update()
- Parameters
optimizer (torch.optim.Optimizer) – Optimizer that owns the gradients to be unscaled.
Note
unscale_()
does not incur a CPU-GPU sync.Warning
unscale_()
should only be called once per optimizer perstep()
call, and only after all gradients for that optimizer’s assigned parameters have been accumulated. Callingunscale_()
twice for a given optimizer between eachstep()
triggers a RuntimeError.Warning
unscale_()
may unscale sparse gradients out of place, replacing the.grad
attribute.
-
update
(new_scale=None)[source]¶ Updates the scale factor.
If any optimizer steps were skipped the scale is multiplied by
backoff_factor
to reduce it. Ifgrowth_interval
unskipped iterations occurred consecutively, the scale is multiplied bygrowth_factor
to increase it.Passing
new_scale
sets the scale directly.- Parameters
new_scale (float or
torch.cuda.FloatTensor
, optional, default=None) – New scale factor.
Warning
update()
should only be called at the end of the iteration, afterscaler.step(optimizer)
has been invoked for all optimizers used this iteration.
-
Autocast Op Reference¶
Op Eligibility¶
Only CUDA ops are eligible for autocasting.
Ops that run in float64
or non-floating-point dtypes are not eligible, and will
run in these types whether or not autocast is enabled.
Only out-of-place ops and Tensor methods are eligible.
In-place variants and calls that explicitly supply an out=...
Tensor
are allowed in autocast-enabled regions, but won’t go through autocasting.
For example, in an autocast-enabled region a.addmm(b, c)
can autocast,
but a.addmm_(b, c)
and a.addmm(b, c, out=d)
cannot.
For best performance and stability, prefer out-of-place ops in autocast-enabled
regions.
Ops called with an explicit dtype=...
argument are not eligible,
and will produce output that respects the dtype
argument.
Op-Specific Behavior¶
The following lists describe the behavior of eligible ops in autocast-enabled regions.
These ops always go through autocasting whether they are invoked as part of a torch.nn.Module
,
as a function, or as a torch.Tensor
method. If functions are exposed in multiple namespaces,
they go through autocasting regardless of the namespace.
Ops not listed below do not go through autocasting. They run in the type defined by their inputs. However, autocasting may still change the type in which unlisted ops run if they’re downstream from autocasted ops.
If an op is unlisted, we assume it’s numerically stable in float16
.
If you believe an unlisted op is numerically unstable in float16
,
please file an issue.
Ops that can autocast to float16
¶
__matmul__
,
addbmm
,
addmm
,
addmv
,
addr
,
baddbmm
,
bmm
,
chain_matmul
,
conv1d
,
conv2d
,
conv3d
,
conv_transpose1d
,
conv_transpose2d
,
conv_transpose3d
,
GRUCell
,
linear
,
LSTMCell
,
matmul
,
mm
,
mv
,
prelu
,
RNNCell
Ops that can autocast to float32
¶
__pow__
,
__rdiv__
,
__rpow__
,
__rtruediv__
,
acos
,
asin
,
binary_cross_entropy_with_logits
,
cosh
,
cosine_embedding_loss
,
cdist
,
cosine_similarity
,
cross_entropy
,
cumprod
,
cumsum
,
dist
,
erfinv
,
exp
,
expm1
,
gelu
,
group_norm
,
hinge_embedding_loss
,
kl_div
,
l1_loss
,
layer_norm
,
log
,
log_softmax
,
log10
,
log1p
,
log2
,
margin_ranking_loss
,
mse_loss
,
multilabel_margin_loss
,
multi_margin_loss
,
nll_loss
,
norm
,
normalize
,
pdist
,
poisson_nll_loss
,
pow
,
prod
,
reciprocal
,
rsqrt
,
sinh
,
smooth_l1_loss
,
soft_margin_loss
,
softmax
,
softmin
,
softplus
,
sum
,
renorm
,
tan
,
triplet_margin_loss
Ops that promote to the widest input type¶
These ops don’t require a particular dtype for stability, but take multiple inputs
and require that the inputs’ dtypes match. If all of the inputs are
float16
, the op runs in float16
. If any of the inputs is float32
,
autocast casts all inputs to float32
and runs the op in float32
.
addcdiv
,
addcmul
,
atan2
,
bilinear
,
cat
,
cross
,
dot
,
equal
,
index_put
,
stack
,
tensordot
Some ops not listed here (e.g., binary ops like add
) natively promote
inputs without autocasting’s intervention. If inputs are a mixture of float16
and float32
, these ops run in float32
and produce float32
output,
regardless of whether autocast is enabled.
Prefer binary_cross_entropy_with_logits
over binary_cross_entropy
¶
The backward passes of torch.nn.functional.binary_cross_entropy()
(and torch.nn.BCELoss
, which wraps it)
can produce gradients that aren’t representable in float16
. In autocast-enabled regions, the forward input
may be float16
, which means the backward gradient must be representable in float16
(autocasting float16
forward inputs to float32
doesn’t help, because that cast must be reversed in backward).
Therefore, binary_cross_entropy
and BCELoss
raise an error in autocast-enabled regions.
Many models use a sigmoid layer right before the binary cross entropy layer.
In this case, combine the two layers using torch.nn.functional.binary_cross_entropy_with_logits()
or torch.nn.BCEWithLogitsLoss
. binary_cross_entropy_with_logits
and BCEWithLogits
are safe to autocast.


#include <CyclePrimitives.h>
Definition at line 41 of file CyclePrimitives.h.
◆ CyclePrimitives()
| CyclePrimitives::CyclePrimitives |
( |
| ) |
|
◆ ~CyclePrimitives()
| virtual CyclePrimitives::~CyclePrimitives |
( |
| ) |
|
|
virtualdefault |
◆ AtTarget()
| bool CyclePrimitives::AtTarget |
( |
| ) |
const |
|
overridevirtual |
◆ GetNextPrim()
| void CyclePrimitives::GetNextPrim |
( |
| ) |
|
|
protected |
◆ Init()
| void CyclePrimitives::Init |
( |
| ) |
|
|
overridevirtual |
◆ Run()
| void CyclePrimitives::Run |
( |
| ) |
|
|
overridevirtual |
◆ RunDoNothing()
| void CyclePrimitives::RunDoNothing |
( |
| ) |
|
|
protected |
The documentation for this class was generated from the following files:


Superstar Rajinikanth sways celebs and audiences at IFFI Goa - Tamil News - IndiaGlitz.com
Superstar Rajinikanth received the Icon of Golden Jubilee Award at the 50th International Film Festival of India at Goa. The audience honoured the Thalaivar by giving him a standing ovation and he first spoke in Tamil with his signature "Yennai Vaazha vaikkum deivangalaana anbu rasigargale" and stated "I am extremely happy to receive the International Film Festival of India’s prestigious Icon of Golden Jubilee award. My heartfelt thanks to the Indian government for honoring me with this award. I dedicate this award to all my producers, directors and technicians who worked in my films. And above, I dedicate this award to all my fans and the people of Tamil Nadu. Thank you. Jai Hind,”.
Rajini's longtime friend an Indian superstar Amitabh Bachchan was the chief guest and he bestowed praise on him saying "Rajini inspires us every day and every night".
Rajini once again displayed his humbleness by falling at the feet of the BIg B. All in all the much loved evergreen megastar swayed both the celebs and the audiences in Goa.
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"Don't question me about Rajni - Kamal!" - says TR!
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"A beauty that's soulful!" - Gautham Menon showers praises!
Prabhu Deva joins the Pongal race!
Inspiration behind Karthi's next revealed!
Yogi Babu's next reaches crucial phase!
Dhanush surprises sister in law with special gift!
Thala Ajith's new get up is double 'Valimai' and sets internet on fire
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Headlines
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A brief explanation about the basic of regular expression.
What is Regular expression?
It is a technology for expression pattern of text using symbols.
Allow lower and upper case: []
"cat".matches("[cC]at");
Express a range
"cat".matches("[a-fA-Fw-zW-Z]at");
Not in: ^
"cat".matches("[^c]at");
Not in a range
"cat".matches("[^a-z]at");
Match any character: \w
One word character follow by at. Also allow numbers.
"cat".matches("\\wat");
Match any number/digits: \d
One word character follow by at. Also allow numbers.
"cat2".matches("\\wat\\d");
Match space: \s
One word character follow by at. Also allow numbers.
"cat 2".matches("\\wat\\s\\d");
Match group of digits:
Digit and space repeatable at n times {}
"321-333-7652".matches("\\d{3}-\\d{3}-\\d{4}");
Group od different characters []
"321-333.7652".matches("\\d{3}[-,.\\s]\d{3}[-,.\\s]\\d{4}");
One or more what there is before(One or more space in that case): +
"321-333 7652".matches("\\d{3}[-,.\\s]+\d{3}[-,.\\s]+\\d{4}");
Possibility of zero or more: *
"321-3337652".matches("\\d{3}[-,.\\s]*\d{3}[-,.\\s]*\\d{4}");
Zero or just one: ?
"321-3337652".matches("\\d{3}[-,.\\s]?\d{3}[-,.\\s]?\\d{4}");
Min and max range: {n,n}
"321-333-652".matches("\\d{3}[-,.\\s]?\d{3}[-,.\\s]?\\d{3,4}");
Specify one or the other(min 3 digit with no upper limit): {n,}
"321-333-652".matches("\\d{3}[-,.\\s]?\d{3}[-,.\\s]?\\d{3,}");
Reduce repeatable chars:
Before
"321-333-652".matches("\\d{3}[-.,\s]?\\d{3}[-.,\s]?\\d{4}");
After(group repeatable 2 times)
"321-333-652".matches("(\\d{3}[-.,\\s]?){2}\\d{4}");
References:
- https://www.udemy.com/course/neutrino-java-foundations


|
Scientific Fortran Tools (SciFT)
1.2
|
Public Member Functions | |
| type(matrix) function, public | specialmatrix_identity (nRows, nCols) |
| Identity matrix. More... | |
| type(matrix) function, public | specialmatrix_unitarycolumnmatrix (theta, phi) |
| Gives a 3D unitary vector in spherical coordinates oriented by the angles theta and phi. More... | |
| type(matrix) function, public | specialmatrix_xrotation (theta) |
| Gives a rotation matrix around of x axis by "theta" radians. More... | |
| type(matrix) function, public | specialmatrix_yrotation (theta) |
| Gives a rotation matrix around of y axis by theta radians. More... | |
| type(matrix) function, public | specialmatrix_zrotation (theta) |
| Gives a rotation matrix around of z axis by "theta" radians. More... | |
| type(matrix) function, public | specialmatrix_rotation (alpha, beta, gamma, convention) |
| Gives a rotation matrix that represents a rotation in 3D by radians about the origin. http: More... | |
| type(matrix) function, public | specialmatrix_randomrotation (convention, alpha, beta, gamma, fr) |
| Gives a random rotation matrix that represents a rotation in 3D by radians about the origin. More... | |
| type(matrix) function, public | specialmatrix_rotationtransform (axesBegin, axesEnd, angles) |
| Gives a rotation about the origin that transforms the axes "axesBegin" to the direction of the axes "axesEnd". More... | |
| subroutine, public | specialmatrix_test () |
| Test method. More... | |
Definition at line 34 of file SpecialMatrix.f90.
| type(matrix) function, public specialmatrix::specialmatrix_identity | ( | integer, intent(in) | nRows, |
| integer, intent(in) | nCols | ||
| ) |
Identity matrix.
Definition at line 61 of file SpecialMatrix.f90.
| type(matrix) function, public specialmatrix::specialmatrix_randomrotation | ( | character(3), intent(in), optional | convention, |
| real(8), intent(out), optional | alpha, | ||
| real(8), intent(out), optional | beta, | ||
| real(8), intent(out), optional | gamma, | ||
| integer, intent(in), optional | fr | ||
| ) |
Gives a random rotation matrix that represents a rotation in 3D by radians about the origin.
Definition at line 174 of file SpecialMatrix.f90.
| type(matrix) function, public specialmatrix::specialmatrix_rotation | ( | real(8), intent(in) | alpha, |
| real(8), intent(in) | beta, | ||
| real(8), intent(in) | gamma, | ||
| character(3), intent(in), optional | convention | ||
| ) |
Gives a rotation matrix that represents a rotation in 3D by radians about the origin. http:
| alpha | 0 <= alpha < 2pi -—> equivalent to phi en ZYZ |
| beta | 0 <= beta <= pi -—> equivalent to theta en ZYZ |
| gamma | 0 <= gamma < 2pi |
| convention | ZYZ, YXZ, XYZ, ZXZ, ZYZ, default ZYZ |
Definition at line 134 of file SpecialMatrix.f90.
| type(matrix) function, public specialmatrix::specialmatrix_rotationtransform | ( | type(matrix), intent(in) | axesBegin, |
| type(matrix), intent(in) | axesEnd, | ||
| real(8), dimension(3), intent(out), optional | angles | ||
| ) |
Gives a rotation about the origin that transforms the axes "axesBegin" to the direction of the axes "axesEnd".
Definition at line 240 of file SpecialMatrix.f90.
| subroutine, public specialmatrix::specialmatrix_test | ( | ) |
Test method.
Definition at line 276 of file SpecialMatrix.f90.
| type(matrix) function, public specialmatrix::specialmatrix_unitarycolumnmatrix | ( | real(8), intent(in) | theta, |
| real(8), intent(in) | phi | ||
| ) |
Gives a 3D unitary vector in spherical coordinates oriented by the angles theta and phi.
| theta | 0 <= theta <= pi |
| phi | 0 <= phi <= 2pi |
Definition at line 73 of file SpecialMatrix.f90.
| type(matrix) function, public specialmatrix::specialmatrix_xrotation | ( | real(8), intent(in) | theta | ) |
Gives a rotation matrix around of x axis by "theta" radians.
Definition at line 87 of file SpecialMatrix.f90.
| type(matrix) function, public specialmatrix::specialmatrix_yrotation | ( | real(8), intent(in) | theta | ) |
Gives a rotation matrix around of y axis by theta radians.
Definition at line 101 of file SpecialMatrix.f90.
| type(matrix) function, public specialmatrix::specialmatrix_zrotation | ( | real(8), intent(in) | theta | ) |
Gives a rotation matrix around of z axis by "theta" radians.
Definition at line 115 of file SpecialMatrix.f90.


--- title: forcats::fct_match author: Jonathan Carroll date: 2019-02-22 23:57:25 slug: forcatsfct_match categories: [R] tags: [rstats, tidyverse, forcats] type: '' subtitle: 'A small tidyverse contribution' image: '' ---
This journey started almost exactly a year ago, but it’s finally been sufficiently worked through and merged! Yay, I’ve officially contributed to the tidyverse (minor as it may be).
This journey started almost exactly a year ago, but it’s finally been sufficiently worked through and merged! Yay, I’ve officially contributed to the tidyverse (minor as it may be).
It began with a tweet, recalling a surprise I encountered that day during some routine data processing
Source of today's mild heart-attack: I have categories W, X_Y, and Z in some data. Intending to keep only the second two:
— Jonathan Carroll (@carroll_jono) March 6, 2018
data %>% filter(g %in% c(“X Y”, “Z”)
Did you spot that I used a space instead of an underscore? I sure as heck didn't, and filtered excessively to just Z.
For those of you not so comfortable with pipes and dplyr
, I was trying to subset a data.frame
‘data
’ (with a column g
having values "W"
, "X_Y"
and "Z"
) to only those rows for which the column g
had the value "X_Y"
or "Z"
(not the actual values, of course, but that’s the idea). Without dplyr
this might simply be
data[data$g %in% c("X Y", "Z"), ]
To make that more concrete, let’s actually show it in action
data <- data.frame(a = 1:5, g = c("X_Y", "W", "Z", "Z", "W"))
data
## a g
## 1 1 X_Y
## 2 2 W
## 3 3 Z
## 4 4 Z
## 5 5 W
data %>%
filter(g %in% c("X Y", "Z"))
## a g
## 1 3 Z
## 2 4 Z
filter
isn’t at fault here – the same issue would arise with [
– I have mis-specified the values I wish to match, so I am returned only the matching values. %in%
is also performing its job - it returns a logical vector; the result of comparing the values in the column g
to the vector c("X Y", "Z")
. Both of these functions are behaving as they should, but the logic of what I was trying to achieve (subset to only these values) was lost.
Now, in some instances, that is exactly the behaviour you want – subset this vector to any of these values… where those values may not be present in the vector to begin with
data %>%
filter(values %in% all_known_values)
The problem, for me, is that there isn’t a way to say “all of these should be there”. The lack of matching happens silently. If you make a typo, you don’t get that level, and you aren’t told that it’s been skipped
simpsons_characters %>%
filter(first_name %in% c("Homer", "Marge", "Bert", "Lisa", "Maggie")
Technically this is a double-post because I also want to sidenote this with something I am amazed I have not known about yet (I was approximately today years old when I learned about this)… I’ve used regex
matching for a while, and have been surprised at how well I’ve been able to make it work occasionally. I’m familiar with counting patterns ((A){2}
to match two occurrences of A
) and ranges of counts ((A){2,4}
Sto match between two and four occurrences of A
) but I was not aware that you can specify a number of mistakes that can be included to still make a match…;
grep("Bart", c("Bart", "Bort", "Brat"), value = TRUE)
## [1] "Bart"
grep("(Bart){~1}", c("Bart", "Bort", "Brat"), value = TRUE)
## [1] "Bart" "Bort"
(“Are you matching to me?”… “No, my regex also matches to ‘Bort’”)
Use (pattern){~n}
to allow up to n
substitutions in the pattern matching. Refer here and here.
Back to the original problem – filter
and %in%
are doing their jobs, but we aren’t getting the result we want because we made a typo, and we aren’t told that we’ve done so.
Enter a new PR to forcats
(originally to dplyr
, but forcats
does make more sense) which implements fct_match(f, lvls)
. This checks that all of the values in lvls
are actually present in f
before returning the logical vector of which entries they correspond to. With this, the pattern becomes (after loading the development version of forcats
from github)
data %>%
filter(fct_match(g, c("X Y", "Z")))
## Error: Levels not present in factor: "X Y"
Yay! We’re notified that we’ve made an error. "X Y"
isn’t actually in our column g
. If we don’t make the error, we get the result we actually wanted in the first place. We can now use this successfully
data %>%
filter(fct_match(g, c("X_Y", "Z")))
## a g
## 1 1 X_Y
## 2 3 Z
## 3 4 Z
It took a while for the PR to be addressed (the tidyverse crew have plenty of backlog, no doubt) but after some minor requested changes and a very neat cleanup by Hadley himself, it’s been merged.
My original version had a few bells and whistles that the current implementation has put aside. The first was inverting the matching with fct_exclude
to make it easier to negate the matching without having to create a new anonymous function, i.e. ~!fct_match(.x)
. I find this particularly useful since a pipe expects a call/named function, not a lambda/anonymous function, which is actually quite painful to construct
data %>%
pull(g) %>%
(function(x) !fct_match(x, c("X_Y", "Z")))
## [1] FALSE TRUE FALSE FALSE TRUE
whereas if we defined
fct_exclude <- function(f, lvls, ...) !fct_match(f, lvls, ...)
we can use
data %>%
pull(g) %>%
fct_exclude(c("X_Y", "Z"))
## [1] FALSE TRUE FALSE FALSE TRUE
The other was specifying whether or not to include missing levels when considering if lvls
is a valid value in f
since unique(f)
and levels(f)
can return different answers.
The cleanup really made me think about how much ‘fluff’ some of my code can have. Sure, it’s nice to encapsulate some logic in a small additional function, but sometimes you can actually replace all of that with a one-liner and not need all that. If you’re ever in the mood to see how compact internal code can really be, check out the source of forcats
.
Hopefully this pattern of filter(fct_match(f, lvls))
is useful to others.


LASER MUSICAL INSTRUMENT: (LMT) is an electronic device specially design to play musical stringless harp effectively and make it more entertaining.


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FIREWORKS (director: Takashi Kitano; cast: Takashi "Beat" Kitano(Yoshitaka Nishi), Kayoko Kishimoto(Miyuki), Ren Osugi(Horibe) Susumu Terajima(Nakamura), Tetsu Watanabe(Tezuka), 1997-Jap.)
Writer-director/acting star-artist, Takashi Kitano, has broken ground from traditional films, taking risks that defy explaining how to classify this very violent and tender film, that sways between the two extremes, and as the critic Joel Hoberman so astutely states, FIREWORKS is a cross between Ozu's LATE SPRING and Don Siegel's DIRTY HARRY.
Kitano is not noted for plot development and for understanding women. His forte is in the raw nerve of his films and the stark beauty of the cinematography. One should expect the unexpected from his films. The violence is brutal and fast-paced. For his effort, he has won the Grand Prize at Venice, the first time a Japanese film has done this since RASHOMON (1950).
Nishi (Kitano), as a detective, is part of a gangster stakeout with his partner, Horibe (Osugi), and two younger detectives. But Horibe tells Nishi to visit his hospitalized leukemia-stricken wife, Miyuki (Kishimoto), and dismisses the other two policemen. This turns out to be a bad move and Horibe is paralyzed by the gangsters. The narrative is told in flashbacks, so any part of Nishi's life could pop up on the screen, and what would seem like a commonplace crime story unfolding, deceptively turns out to be much more than that, even as Nishi gets revenge on the yakuma's who did this to his friend, unafraid of bringing untold graphic violence to the screen. For one of the punk gangsters, he sticks a pencil in his eye. You better believe that caught my attention. But, if that was all this film was about, the DIRTY HARRY description of the film would have been completely apropos.
Feeling responsible for Horibe and grieving for his wife, the film turns into a road movie as he escorts his wife to the sights she wants to see for the last time, leaving him to wonder why she would choose to see snow before dying... He shows great tenderness toward his friend Horibe, and in his taciturn manner (he is not a man who likes conversation), he sends him art materials so he can somehow keep his mind occupied during the suicidal period he is going through, and we see some magnificent surreal and colorful drawings as a result, which are the actual drawings of Kitano. In between these grand gestures, he violently confronts the gangsters responsible for his friend's condition.
This highly original film, that is at times a masterpiece and other times a grade B- movie, is difficult for me to penetrate what it all means as far as a commentary on Japanese culture, but the Japanese critics have been critical of his attacks on Japanese conformity, while the Japanese public accepts him as a popular performer and stage comedian, even if his films have not been as well received in Japan as they have been in foreign countries. As far as I am concerned, I prefer Ozu, I am more taken with his intellect and perspective, but I can appreciate the artistic direction Kitano is taking his violent subject matter to, as I found this volatile film to be something special, but something I can't completely comprehend because I don't really know what he is trying to say, as if that really matters. Yet his film is a visual treat to behold, and for that I am grateful and accepting of his work.
REVIEWED ON 2/15/99 GRADE: B+
Dennis Schwartz: "Movie Reviews"
<EMAIL_ADDRESS>http://www.sover.net/~ozus
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mmbr
¶Here I show with a toy simulation of 600 samples, 3000 variables phenotypes and 50 conditions of interest, just to see how the method works in terms of computational speed, and roughly how well it works.
The simulation parameters are set to mimic the scale of GTEx cis-QTL analysis. I simulated 1 random effect variables per condition for these 50 conditions considered.
library(mmbr)
set.seed(2)
attach(mmbr_sim1(n=600,p=3000,r=50,s=1))
From the simulation we know that the number of total effect variables is about 50 (exactly 50 if there are no overlaps). Here I let mmbr
to discover only 10 of them:
L = 10
In practice the priors are to be specified using mashr
output, which will take a few hours to compute. But once computed it can be applied to all test units.
m_init = mmbr:::MashInitializer$new(list(V), 1, alpha=0)
Here I'm only using one weight and one prior covariance which is a very much degenerated MASH result. In practice there can usually be dozens of prior matrices in the MASH mixture with non-trivial weight. But the computation can also be parallelled. Here I only use one CPU core to time it.
start_time <- Sys.time()
B = msusie(X,y,L=L,prior_variance=m_init,compute_objective=FALSE)
end_time <- Sys.time()
end_time - start_time
B$niter
Not to bad in compute time. Now check the result:
b_all = as.integer(apply(b,1,sum) != 0)
susieR::susie_plot(B,y='PIP',b=b_all,add_legend=T)
I specified 10 CS but only see 9 here. I suspect there is signal overlap issue. But overall result is promising.
Now I try it with 4 conditions each having 2 effect variables and see how it works:
rm(list=ls())
set.seed(2)
attach(mmbr_sim1(600,3000,4,2))
I still ask to look for 10 variables, hoping it will report back 8 correctly,
L = 10
m_init = mmbr:::MashInitializer$new(list(V), 1, alpha=0)
start_time <- Sys.time()
B = msusie(X,y,L=L,prior_variance=m_init,compute_objective=FALSE)
end_time <- Sys.time()
end_time - start_time
B$niter
b_all = as.integer(apply(b,1,sum) != 0)
susieR::susie_plot(B,y='PIP',b=b_all,add_legend=T)
which is indeed the case.


I had the mindful conversation with my husband. I learnt that you can get much further down a path of thought when you are uninterrumpted that you normally would in a conversation, and explore the thought at a deeper level. My husband found it awkward to begin with, but as soon as he got on a roll, 4 minutes went by very fast and it was nice.
I will practice walking meditation because it is something I can do multiple times a day and has the least barriers as I don't need to rely on others to practice it. It is also something that will begin to slowly and easily allow me to apply mindfulness to my day-to-day life in an unobtrusive way.
I am also going to try to focus on my food when I am eating it. I never do this as I always either sit down with people to eat, or in fron tof the TV/with my phone/listening to a podcast, so it will be interesting to see if I enjoy the act of eating more (not that enjoying food more is something I particularly want to achieve as I already like food too much.)


|
|
Gregory Luna
Full Name: Gregory Luna
Date of birth: November 17, 1932
Date of death: November 6, 1999
|
|
|
Terms of Service top
|
| Chamber |
District |
Dates of Service |
Legislatures |
Party |
City/County |
Note |
Counties in District |
|
S
|
26
|
Jan 14, 1997 - Sep 24, 1999
|
75th
76th
(1)
|
Democrat
|
San Antonio / Bexar
|
|
Bexar
|
|
S
|
26
|
Jan 10, 1995 - Jan 14, 1997
|
74th
(2)
|
Democrat
|
San Antonio / Bexar
|
|
Bexar
|
|
S
|
19
|
Jan 12, 1993 - Jan 10, 1995
|
73rd
(3)
(4)
|
Democrat
|
San Antonio / Bexar
|
|
Bexar
|
|
H
|
116
|
Jan 8, 1991 - Jan 12, 1993
|
72nd
|
Democrat
|
San Antonio / Bexar
|
|
Bexar
|
|
H
|
116
|
Jan 10, 1989 - Jan 8, 1991
|
71st
|
Democrat
|
San Antonio / Bexar
|
|
Bexar
|
|
H
|
116
|
Jan 13, 1987 - Jan 10, 1989
|
70th
|
Democrat
|
San Antonio / Bexar
|
|
Bexar
|
|
H
|
116
|
Jan 8, 1985 - Jan 13, 1987
|
69th
|
Democrat
|
San Antonio / Bexar
|
|
Bexar
|
|
(1)
In Senate, Leticia R. Van de Putte, in special election 11/2/1999, sworn 11/10/1999, succeeded Gregory Luna, resigned 9/24/1999. In House, Michael Villarreal, in special election 2/12/2000, sworn 2/17/2000, succeeded Leticia R. Van de Putte, sworn as senator 11/10/1999.
Members of the Texas Congress 1836-1845; Members of the Texas Legislature 1846-2004, 2005.
(2)
74th Legislature - Drawing for Terms of Office, 1/11/1995, pp. 75-76. Drew 2-year term.
Senate Journal.
(3)
73rd Legislature - Drawing for Terms of Office, 3/25/1993, pp. 589-590. Drew 2-year term.
Senate Journal.
(4)
Due to redistricting litigation, entire Senate went up for reelection in 1994. See also Clips database, 4/6/1993 - 4/8/1993, Redistricting - Legislature; and Guide to 2001 Redistricting - Appendix A, 1990s Redistricting (Texas Legislative Council).
Terrazas v. Slagle, 821 F.Supp. 1162 (April 5, 1993), 1993.
|
|
|
|
Biographical Notes and Resources top
|
|
Selected Newspaper articles
|
| Resolutions and Journal entries |
|
72nd Legislature, 4th C.S., HR 114.
Resolutions - Congratulatory and Honorary.
72nd Legislature, 4th C.S., HR 35, honoring the members of the House of Representatives who have served in the military forces of the United States.
Resolutions - Congratulatory and Honorary.
77th Legislature, R.S., SR 825.
Resolutions - Memorial.
76th Legislature - Letter from Senator Luna to Senate colleagues, 5/31/1999.
Senate Journal.
|
| Biographical Sketches |
|
Biographical sketch.
Senate Hispanic Research Council.
Memorial biographical sketch and photo.
A State of Remembrance, 2001.
Memorial, January 2000, p. 86.
Texas Bar Journal.
Biographical sketch, "Movers and Shakers: Meet the Legislators Who Make the Decisions About Public Education," March 1995, pp. 13-17.
Texas Lone Star.
Biographical sketch, 76th Legislature.
Texas Senate.
Biographical sketch and photo.
Texas Senators, 73rd Legislature, 1993.
Biographical sketch and photo.
Texas Senators, 74th Legislature, 1995.
Biographical sketch and photo.
Texas Senators, 75th Legislature, 1997.
Biographical sketch and photo.
Texas Senators, 76th Legislative Session, 1999.
Luna, Gregory.
Texas State Cemetery.
|
| Military Service Notes |
|
United States Army, Corporal, radar operator. 72nd Legislature, 4th C.S., HR 35.
Resolutions - Congratulatory and Honorary.
"Luna joined the Army in 1953 but never went overseas. Instead, he spent his entire military career working in an anti-aircraft radar unit in Pittsburgh."
Texas State Cemetery.
United States Army. Photo and salute.
With Honor and Gratitude: A Special Thank You to Our Texas Senate Members Who Served Our Country, 2017.
|
| Other Resources |
|
Star Legislator, "Legislative Stars Shine Through Difficult Session," Volume 15, Number 2, Summer 1995, pp. 8-9, 29.
The Classroom Teacher: The Magazine of the Texas Classroom Teachers Association.
Gregory Luna Middle School - Photos and online dedication video.
Northside Independent School District, San Antonio.
Once in a Blue Luna - the Official Dedication of Gregory Luna Middle School.
Northside Independent School District, San Antonio.
|
| Texas Monthly's Best and Worst Legislators |
|
Named one of the 'Used Furniture'.
Best and Worst Legislators 1995.
Named one of the 'Used Furniture'.
Best and Worst Legislators 1987.
|
| Photographs |
|
Photograph.
Gregory Luna, 69th Legislature, State Preservation Board
Photograph.
Gregory Luna, 70th Legislature, State Preservation Board
Photograph.
Gregory Luna, 71st Legislature, State Preservation Board
Photograph.
Gregory Luna, 73rd Legislature, State Preservation Board
Photograph.
Gregory Luna, 74th Legislature, State Preservation Board
Photograph.
Gregory Luna, 75th Legislature, State Preservation Board
Photograph.
Gregory Luna, 76th Legislature, State Preservation Board
|
| Composite Photographs on Display in the Capitol |
|
73rd session composite photo of Senate members (Ground floor corridor, north wall. GE.C1). State Preservation Board.
74th session composite photo of Senate members (Ground floor corridor, north wall. GE.C1). State Preservation Board.
75th session composite photo of Senate members (Ground floor corridor, north wall. GE.C1). State Preservation Board.
76th session composite photo of Senate members (Ground floor corridor, north wall. GE.C1). State Preservation Board.
69th session composite photo of House members (Ground floor corridor, east wall. GW.L1). State Preservation Board.
70th session composite photo of House members (Ground floor corridor, east wall. GW.L1). State Preservation Board.
71st session composite photo of House members (Ground floor corridor, east wall. GW.L1). State Preservation Board.
72nd session composite photo of House members (Ground floor corridor, north wall. GW.C1). State Preservation Board.
|
|
Committee Informationtop
|
76th R.S. - 1999
Committee of the Whole Senate
Education
(Vice Chair)
Jurisprudence
Veteran Affairs and Military Installations
(Vice Chair)
|
75th R.S. - 1997
Education
(Vice Chair)
Education, Interim
Funding Issues in Education, Interim
Jurisprudence
Legislative and Congressional Redistricting, Committee of the Whole Senate
State Affairs
Tax Reform and Public School Finance, Select
Veteran Affairs and Military Installations, Special
(Vice Chair)
|
74th R.S. - 1995
Education
(Vice Chair)
Jurisprudence
Legislative and Congressional Redistricting, Committee of the Whole Senate, Special
State Affairs
|
73rd R.S. - 1993
Committee of the Whole Senate
Education
Effects of Sludge Disposal, Interim
Historically Underutilized Businesses, Select
Jurisprudence
Redistricting, Ethics and Elections, Committee of the Whole Senate, Special
Redistricting, Ethics and Elections, Committee of the Whole Senate, Special Subcommittee
Redistricting, Ethics and Elections, Committee of the Whole Senate, Subcommittee on Elections and Ethics, Standing
State Affairs
|
72nd R.S. - 1991
Judicial Affairs
Public Education
(Vice Chair)
Public Education Subcommittee on Budget and Oversight
|
71st R.S. - 1989
General Investigating
Judicial Affairs
Public Education
(Vice Chair)
Public Education Subcommittee on Budget and Oversight
|
70th R.S. - 1987
General Investigating
High School Dropouts, Special
Judicial Affairs
Public Education
(Vice Chair)
|
69th R.S. - 1985
Human Services
Human Services Subcommittee on Budget and Oversight
Public Education
|
|


CVS oops fix 2007/07/12
Committing a new project to CVS is quite a chore. I have been slowing getting it together for the past couple of days, screwing up early and often. If you ever find yourself with a directory tree full of CVS directories and you would rather not, try this:
<?php function scrub($path) { $dir = opendir($path); while (false !== $d = readdir($dir)) { if ('. == $d{0}) continue; if ('CVS' == $d) `rm -rf $path/$d`; else if (is_dir("$path/$d")) scrub("$path/$d"); } } scrub('.'); ?>
I've discovered other nasty quirks, too. Like you can't actually remove a directory, but you can suppress empty ones on cvs update
using the -P
option. Adding binary files and trusting CVS to play nicely is a terrible idea. Instead you need to think for it and do cvs add -k b file
to let it know you're adding a binary file.
Or, if you have decision-making power, you could just switch to Subversion.
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COOKING
When you can't travel the world, bring the world to you! Have a go at following some of our simple, global and nutritional recipes, which promise to not only make you feel good, but also transport you to somewhere far away. Add your own twists, take photos, and share your suggestions by getting in touch. Motivate your inner chef, take inspiration from others, and most importantly, have fun!
COURGETTE AND PEA RISOTTO
INGREDIENTS
- 1 onion
- 50g butter
- 300g risotto rice
- 200ml dry white wine
- 1 vegetable stock cube
- 1.5l water
- 200g courgette
- 200g peas
- 3 tbsp cheese
- Desired amount salt
- Desired amount pepper
TOP TIP
Don't worry if you have leftover risotto - this is perfect for making arancini the next day!
METHOD
- Dice the onion finely.
- Place the butter in a deep frying pan and then fry and sweat the onion.
- Stir in the risotto rice and coat in the buttery onion.
- Add the white wine to the pan.
- Dissolve the stock cube in the water in a separate utensil.
- Ladle the stock into the pan, waiting for it to dissolve each time before adding in the next ladle. Stir constantly while rice becomes softer and fluffier. This process should take about 20 minutes.
- Dice the courgette before tipping it into the pan with the peas and the remaining stock.
- Season with salt and pepper, before adding and stirring in cheese.
- Leave to stand or serve immediately.
RATING


About this instance of QuizGame:
Git revision/version Number: #
Configuration Options:
Server-side scorekeeping and processing:
Mixing questions:
System Configuration:
Perl version:
OS version:
OS name:
UName string:
Architecture name:
VHost name:
Web server:
Other Information:
QuizGame was written by
Tucker R. Twomey and
Matthew J. Twomey.
Quizgame is mostly written in perl, as well as HTML, Javascript, and CSS.
Quizgame is licensed under the
3-Clause BSD
License.
The git repository for quizgame can be found
here.


--- layout: page title: permalink: /exhibitions/ main_image_path: main_image_caption: frontpage: false homepage_description_markdown: All about the Eye Gallery artist frontpagetitle: Exhibitions images: - image_path: image_title: image_description: _options: layout: hidden: true image_path: uploads_dir: assets/images/:year width: 1200 height: 1200 resize_style: contain mime_type: image/jpeg main_image_path: uploads_dir: assets/images/:year width: 1200 height: 1200 resize_style: contain mime_type: image/jpeg content: uploads_dir: assets/:year _comments: title: Page title permalink: Be careful editing this main_image_path: Image used to represent your page frontpage: Show this page on the homepage homepage_description_markdown: Text used on homepage if shown frontpagetitle: Alternative title for home page use images: Add and edit images here ---
Current and Upcoming:
Viviane Fontaine International Paper Triennial
Musée Charmey, Gruyère, Switzerland
11th March - 12th November 2023
I am honoured to have been awarded 3rd prize in this Triennial exhibition for my altered atlas sculpture 'Breathe'.
Oxford Art Society Members' Exhibition
Kendrew Barn, St John's College, St Giles, Oxford OX1 3JP
18th March - 2nd April
11am - 6pm daily
I have 2 pieces of work in this annual exhibition; one layered landscape and a cut-map globe. The on-line catalogue is available here.
Delamore Estate, Cornwood, Devon
1st - 31st May 2023
I will be showing a small collection of layered landscapes and an altered atlas in this annual exhibition in beautiful surroundings!
Jericho, Oxford
20th - 29th May 2023
This year I'm excited to be exhibiting my work in Jericho with glass artist Wendy Newhofer and jeweller Becky Morgans.
Kingfisher Art
14 New Street, Chipping Norton OX7 5LJ
You can find a collection of my layered papercuts at this beautiful gallery in Chipping Norton
EXHIBITION HISTORY
2022
RWA 169 Open Exhibition, Bristol
Charity Exhibition, p-Art Factory, Mayfair, London
The Cutting Edge: Matisse and Contemporary Paper Artists, Rheged, Cumbria
Summer Show, Royal Academy, London
2021/22 Edition of the Paper Fibre Art Biennial, Taiwan
Atelier by the Sea Open Exhibition, Brighton
Oxford Art Society Open Exhibition, SJE Arts, Oxford
Oxford Art Society Members Exhibition, Kendrew Gallery, Oxford
'Celebrating 40 Years' Exhibition, The Jam Factory, Oxford
Artweeks Exhibition, Oxford
Art at Christmas fair, Summertown
2021
Bound and Unbound VI: Altered Book Exhibition, South Dakota, US
Art at Christmas Fair, Summertown
Twenty Twenty One, OVADA, Oxford
Oxford Art Society Open Exhibition
Broadway Arts Festival Exhibition, Bretforton
Artweeks Exhibition, Oxford
Oxford Art Society Member's Exhibition, online
Oxfordshire Craft Guild Spring Exhibition, online
2020
Kingfisher Art Winter Exhibition, online
Oxfordshire Craft Guild Christmas Exhibition, online
Open Exhibition, Oxford Art Society, online
Modern Art Oxford, Flow Exhibition - this exhibition can be found permanently on MAO's website
Kingfisher Art pop up Summer Exhibition, Winchcombe
Artweeks Virtual Exhibition
The Corridor Gallery, JR Hospital, Oxford
2019
Kingfisher Art pop up gallery, Woodstock
Art at Christmas, Summertown, Oxford
Oxfordshire Craft Guild Christmas Exhibition, Woodstock Museum
Art Society Open Exhibition, SJE Church, Oxford
Kingfisher Art pop up gallery, Henley
Handmade Oxford, Waterperry Gardens, Oxford
Kingfisher Art pop up gallery, Oxford
Woodland Exhibition, Cornerstone Arts Centre, Didcot
Member's Exhibition, Oxford Art Society, Woodstock Museum Gallery
Artweeks Exhibition, Oxford
2018
Summer Exhibition, Royal Academy, London
Artweeks Exhibition, Oxford
Oxford Art Society Exhibition, The Sewell Gallery, Radley College, Abingdon
Winter Exhibition, Kingfisher Art, Woodstock
Art at Christmas Fair, Summertown
2017
Reading Art Fair, with Junction Art Gallery
Oxford Open Exhibition, The Jam Factory, Oxford
Pretty Fly Workshops, Dundee
Artweeks Exhibition, Junction Art Gallery, Woodstock
Artweeks Exhibition, Headington, Oxford
2016
Pretty Fly Workshops, Dundee
‘Paper’ Exhibition, West Ox Art Gallery, Bampton
Reading Art Fair, with Junction Art Gallery
Open Exhibition, Oxford Art Society, Oxford
Artweeks Exhibition, Junction Art Gallery, Woodstock
2015
Artweeks Exhibition, Junction Art Gallery, Woodstock
2014
‘One Thousand Cranes: An Exhibition of Contemporary Paper Making’ O3 Gallery, Oxford
Artweeks Exhibition, Junction Art Gallery, Woodstock
Current Roles:
Oxford Art Society Board Member
Oxfordshire Artweeks Board Member


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Portfolio 3.0
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inc.fmu
This FMU generates time events to increment an integer counter every second and terminates simulation at t=12 sec.
The figure shows the solution computed with Silver.
License conditions
The FMU is provided by QTronic under the
BSD License
.


--- layout: post date: 2012-11-25 23:27:00 +0100 title: "RC bugs" categories: Artikel tags: - debian ---
I recently worked on the following RC bugs:
I have to say that I find the BTS to be very hard to read from the perspective of a newcomer who wants to help squashing RC bugs, both from a technical and a social standpoint.
As an example for the technical side: blocking bugs are very easy to miss, so innocent bugreports which seem actionable turn out to just wait for another bug with lots of discussion. Also, it seems like the best interface to the BTS for RC bugs is UDD, so RichiH’s RC report was quite helpful.
For the social side: Bugreports often are in a state in which it is not clear what the next course of action is, e.g. #634261 (the bug is not considered RC, but still has severity: grave) or #684633 (dropping from testing suggested but not clear whether a removal request has been filed or not).
I’m aware that this is very vague critic. I suppose what I am missing is a way in which we can make the list of RC bugs more actionable. When I am browsing through RC bugs, I often open bugreports and figure out that there’s nothing I can do. Possibly a way to improve this situation is by letting people claim ownership of a bug and then filtering for un-owned bugs and those which have an owner but have not seen any activity for some period of time.


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Flux is really just a fancy term for pub/sub architecture,
i.e. data always flows one way through the application and
it is picked up along the way by various subscribers (stores)
who are listening to it.
Flux eschews MVC in favor of unidirectional data flow.
What this means is that data enters through a single place (your actions)
and then flow outward through their state manager (the store)
and finally onto the view. The view can then restart the flow by calling
other actions in response to user input.
Why Flux
State is messy
Unidirectional data makes for easy debugging
Composable components favor reuse
Stores as a single domain also simplifies debugging
Dispatcher
*SINGLE* messaging hub in the application
Registry of callbacks
Has no logic
Dispatcher recieves actions and fires corresponding callback
Can manage dependencies between stores
Stores
Contain the domain logic
More than just a model
All stores get the callback from the dispatcher and handle in a case statement
Changes made through dispatcher -> Store's case statement on action type -> Data update -> Fire change event
Views can query the store but they are treated as immutable from view's perspective
Actions
Views can start the communication intents via actions
Actions are sent through the dispatcher and sent out to the stores
We have had luck with past tense but it doesn't matter as long as you are consistent


{% extends 'direct-sharing/layout.html' %} {% block content %}
Once a member authorizes data sharing, you'll be able to immediately access that data via our API.
Topics:
{% include 'direct-sharing/partials/data-access.html' with on_site_project=True %} {% include 'direct-sharing/partials/project-info.html' with on_site_project=True %} {% endblock %}


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node-parallel-tasks
A tool to share tasks among machines in your localhost
This module can be run as a daemon on machines in your local area. This allows them to accept connections in order to share tasks. When tasks need to be shared, then require this module in your code, and the task gets equally divided into all the machines in you local area which have this module running.
Install and run as daemon
npm install -g node-parallel-tasks
node-parallel-tasks --daemon
Install and use as an npm module
In your project directory, run
npm install node-parallel-tasks
Then, require the module and use it in your code
var asyncParallel = require('node-parallel-tasks');
asyncParallel.mapReduce([1,2,3,4], function map() {
callback(null, elem+1);
}, function reduce(err, results) {
//results show [2,3,4,5]
});
Usage
There are 3 functions as of now to share tasks among local machines-
- MapReduce - Takes an array, a map function, and a reduce function. It shares the array among machines available, runs the map function on the machines. The results are then sent to the source machine and the reduce function is run on it.
- Broadcast - Takes a broadcast function and a callback function. Runs the broadcast function on available machines and runs the callback on the source machine after all broadcasts are done
- Parallel - Takes an array of functions, and a callback function. It shares the array among available machines, and runs them on the machines. The results are sent to the source machine, where the callback is called
You can check out the examples for further details
Documentation
There are 3 ways to check out the docs-
- Go to http://vikramthyagarajan.github.io/node-parallel-tasks/
- Go to the docs/ folder and open index.html
- Type 'grunt docs' in the terminal in the project. A window will open in your browser with the docs.
NOTE: You might need grunt installed to work on the docs.


Sevnet is a small hosting company co-founded by Mike and Sevi on 7/29/17. With plans starting at $2/month we aim to provide a cheap alternative. Our storage is all SSD, we do not oversell and we sell top of the line hosting with the latest version of cPanel, the most powerful web panel. Customer satisfaction is our first goal, and we will always go out of our way to help clients!
We're more than a company, we're a community. In many cases, clients get to voice chat and have conversations with the creators of sevnet on our discord server. We take support to the next level with this discord server. You're also getting some of the highest quality web hosting on the market, we do not oversell, all of our storage is SSD and we will guarantee 99.8%+ website uptime.
If you don't like us, we have a 12 hour refund policy, if you request a refund within 12 hours of purchase, we'll give you a full refund no questions asked!


file_message
— File Modbus Messages¶
API Documentation¶
File Record Read/Write Messages¶
Currently none of these messages are implemented
-
class
pymodbus.file_message.
FileRecord
(**kwargs)[source]¶ Represents a file record and its relevant data.
-
__init__
(**kwargs)[source]¶ Initializes a new instance
Params reference_type: Defaults to 0x06 (must be) Params file_number: Indicates which file number we are reading Params record_number: Indicates which record in the file Params record_data: The actual data of the record Params record_length: The length in registers of the record Params response_length: The length in bytes of the record
-
-
class
pymodbus.file_message.
ReadFileRecordRequest
(records=None, **kwargs)[source]¶ This function code is used to perform a file record read. All request data lengths are provided in terms of number of bytes and all record lengths are provided in terms of registers.
A file is an organization of records. Each file contains 10000 records, addressed 0000 to 9999 decimal or 0x0000 to 0x270f. For example, record 12 is addressed as 12. The function can read multiple groups of references. The groups can be separating (non-contiguous), but the references within each group must be sequential. Each group is defined in a seperate ‘sub-request’ field that contains seven bytes:
The reference type: 1 byte (must be 0x06) The file number: 2 bytes The starting record number within the file: 2 bytes The length of the record to be read: 2 bytes
The quantity of registers to be read, combined with all other fields in the expected response, must not exceed the allowable length of the MODBUS PDU: 235 bytes.
-
__init__
(records=None, **kwargs)[source]¶ Initializes a new instance
Parameters: records – The file record requests to be read
-
-
class
pymodbus.file_message.
ReadFileRecordResponse
(records=None, **kwargs)[source]¶ The normal response is a series of ‘sub-responses,’ one for each ‘sub-request.’ The byte count field is the total combined count of bytes in all ‘sub-responses.’ In addition, each ‘sub-response’ contains a field that shows its own byte count.
-
class
pymodbus.file_message.
WriteFileRecordRequest
(records=None, **kwargs)[source]¶ This function code is used to perform a file record write. All request data lengths are provided in terms of number of bytes and all record lengths are provided in terms of the number of 16 bit words.
-
__init__
(records=None, **kwargs)[source]¶ Initializes a new instance
Parameters: records – The file record requests to be read
-
-
class
pymodbus.file_message.
WriteFileRecordResponse
(records=None, **kwargs)[source]¶ The normal response is an echo of the request.
-
class
pymodbus.file_message.
ReadFifoQueueRequest
(address=0, **kwargs)[source]¶ This function code allows to read the contents of a First-In-First-Out (FIFO) queue of register in a remote device. The function returns a count of the registers in the queue, followed by the queued data. Up to 32 registers can be read: the count, plus up to 31 queued data registers.
The queue count register is returned first, followed by the queued data registers. The function reads the queue contents, but does not clear them.
-
__init__
(address=0, **kwargs)[source]¶ Initializes a new instance
Parameters: address – The fifo pointer address (0x0000 to 0xffff)
-
-
class
pymodbus.file_message.
ReadFifoQueueResponse
(values=None, **kwargs)[source]¶ In a normal response, the byte count shows the quantity of bytes to follow, including the queue count bytes and value register bytes (but not including the error check field). The queue count is the quantity of data registers in the queue (not including the count register).
If the queue count exceeds 31, an exception response is returned with an error code of 03 (Illegal Data Value).
-
classmethod
calculateRtuFrameSize
(buffer)[source]¶ Calculates the size of the message
Parameters: buffer – A buffer containing the data that have been received. Returns: The number of bytes in the response.
-
classmethod


This is an account of a trip that happened a few years ago. I have never really been able to adequetely describe in words what happened, but after much contemplation the experiance has been fully integrated.
Preperation:
My three friends (T, B, R) and I were able to secure our hands on some extremely potent shrooms. We were all tripping alot at this point. Prior to this trip I had maybe tripped half-dozen times and had good experiances. I had also not taken any heavy doses. I planned on eating the remainder of a half-oz which ended up weighing 5.5. I read Timothy Leary's Psychedelic Experiance all week in preperation with mediation and a fast the day of the sacrement.
Setting:
A decent sized dorm room with music and close friends. R and I were the only one's dosing and T, B were sitting. These were really good friends so the setting was nice and comfertable.
The Trip:
After munching down on the fungus I took one large bong hit. I percieded to cough it out and nearly vomit. Very, very close. I held it down though.  After about 15 minutes after ingestion I noticed the table that we were sitting at was coming alive. The different rocks in the cement began to turn to luquid and ooz. Different shapes were forming however I felt very uncomfortable because I was around people who were very clueless about tripping and I had to remain cool. Anyway we got back inside safe and sound. I plopped down on the bed and began to sink down the rabbit hole.
Everything in my view seemed to have less color or lost clarity. It was as if I only had 16 basic colors to view and on top of that everything was made up of liquid. I decided to close my eyes and just let it go. I was now seeing liquid but in millions of colors. Beautiful colors filled my vision which were also somewhat terrifing at the time. I recall saying in a monotonous tone 'Whaat's Haaapening?!' My friends tried to make contact with me and thats the last I remember them being present.
This is the point of total blur. I don't really recall all that much. All I knew was that I was no longer myself. I didn't remember eating any mushrooms or being in that room. I was whisked through a world of color and scattered images. T and B report that I was falling down alot, and looked like it hurt. Wallowing around on the floor changing different positions, sometimes half under the bed, curled next to the TV, everywhere. I was apparently singing along with the music alot. They remember me saying, 'If this ever happens again, I'm gonna cry'. I remeber none of this behavior.
Going deeper into the trip I suddenly was becoming aware of some issues in my life. I was seeing many sexual images. It was as if I was being tempted by a women. She was making extremely lewd gestures.  I remember vaguely that I thought we were having sex. However R broght me out of it and situated me in the chair. I'm sure what my friends were watching me do had to be akward. I believe this chapter of the trip was about my viginity at the time. I lost it in the following weeks. It was as if the shroom was preparing me for it. It kinda of showed me things about how I actually felt about my partner. It was showing me the difference between having sex and making love.
I suddenly became aware of death. I knew it was present. It was hard for me to accept and I held back for some time. It was as if there was a countdown going on. It seemed as though my brain was making final preparations. Going through it final processes. At this point I was unsure what the countdown was too.
As the countdown was nearing it's end I just gave in and accepted that what was going to happen is what is going to happen and there's no stopping it. I was instantly filled with pure joy and extasy. Waves of energy rushed through me. I felt I was immortal. I felt I could create my own realties. There was no fear of death because I was already past that. Having been my first experiance with transcendence it lasted shortly. I was however treated with many visions which encompassed many things. I saw visions about how humans have extreme potentail however we aren't aware of it/ or simply can't use it yet. I saw how the use of certain pschoactive plants is very important to humanity. And that they are the key to saving the Earth and humanity.
It was at this point that I got up out of my chair and decided I was leaving. My friends rushed to stop me, 'NO, what are you doing' I was like, 'Anything I want!' They were trying to snap me back into reality. I was smoking a cigarette and to prove that I was immortal I threw my cig at B.  I'm not sure what I thought, basically I guess I thought that I could create and destroy anything I wanted so therefor possesions or injuries meant nothing. I could create them at will. In any regard he picked the cig up and walked over to me and said, 'Bad, this burns things.' I then realized what happened, and fell to baseline. The best part of all was snapping back into reality in that chair. Just as Cheech and Chong started. I found it hilarious. A great movie to imprint with on a comedown.
Peace,
Uncle Cid
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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sourcemaps : writes the news transformed code source into destination files. (From .scss to .css).
autoprefixer : Parse CSS file and adds the desired vendor prefixes and remove unnecessary to this CSS file.
cssnano: A modular minifier works with PostCSS plugins.
Postcss : A tool for transforming CSS with JavaScript.


--- title: Official Sites category: Hidden order: 420 ---
DuckDuckGo labels official sites with a red Official Site tag, which you can see below. These official sites generally come from high-quality sources like Wikipedia or CrunchBase. If you notice an errant Official Site, try checking these two sources and, if it's been corrected already, the correction will flow through to us automatically.


Hello 👋
There 👋
x-on:click.away |
h1h2 |
x-transition |
Hello 👋
|
x-transition:enter only (should see no blip) |
Hello 👋
There 👋
|
x-transition with dynamic classes |
Hello 👋
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x-transition |
Hello 👋 |
x-transition.opacity |
Hello 👋
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x-transition.scale |
Hello 👋
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x-transition.duration.1000ms |
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x-transition.leave only with @click.outside |
Hello 👋
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x-transition:enter.opacity.duration.500ms x-transition:leave.scale.duration.250ms |
Hello 👋
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Hello 👋
Hello 👋
Hello 👋
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my red ring should be fully visible
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Run and tell all of the angels This could take all night
Think I need a devil to help me Get things right
Hook me up a new revolution 'Cause this one is a lie
We sat around laughing And watch the last one die
I'm looking to the sky to save me
Looking for a sign of life
Looking for something help me burn out bright
I'm looking for a complication Looking 'cause I'm tired of trying
Make my way back home When I learn to fly (high)
Think I'm done nursing the patience I can wait one night
I'd give it all away If you give me one last try
We live happily ever trapped If you just save my life
Run and tell the angels That everything is all right
I'm looking to the sky to save me Looking for a sign of life
Looking for something help me burn out bright
I'm looking for a complication Looking 'cause I'm tired of trying
Make my way back home When I learn to fly (high)
Make my way back home When I learn to fly (high)
Fly along with me I can't quite make it alone
Try to make this life my own
Fly along with me I can't quite make it alone
Try to make this life my own
I'm looking to the sky to save me Looking for a sign of life
Looking for something help me burn out bright
I'm looking for a complication Looking 'cause I'm tired of trying
Make my way back home When I learn to fly (high)


The dataset was collected at IIT Roorkee, India, for over 1000 students in 15 courses between 2006 to 2017. It has been anonymized to protect the student identities. Students' academic performance is scored based on a set of parameters assessed across the comprehensive course of evaluation. [access-form]
All datasets are provided for academic research only. To access a dataset, please download and complete the appropriate access-form and email its scanned PDF to: hbuckchash [at] cs [dot] iitr [dot] ac [dot] in.


Special Edition MDX Inspired By Acura NSX Supercar Comes To LA
It will be hand-built and very, very, red.
by Ian WrightPMC Edition Acura vehicles tend to be rare, and the 2020 MDX version will be no different. PMC stands for Performance Manufacturing Center, and it's the facility in Ohio that builds Acura's NSX. The TSX PMC Edition showed its face at the 2019 New York Auto Show, complete with red nano pigment technology paint previously reserved solely for the NSX supercar.
The Acura MDX PMC Edition follows very much in its footsteps and 330 and will be hand-assembled at the PMC plant. That will be 300 for the US, 30 for Canada, and none for anyone else.
The MDX PMC Edition is based around the MDX Advance Package and only comes in the Valencia Red Pearl paint with a black interior featuring red contrast stitching.  There's then more gloss black paint added to the door handles, window trim, door mirrors, and the roof.
What's noticeably missing, though, is any actual performance upgrades, with power coming from a 3.5-liter naturally aspirated V6 engine delivering 290 horsepower and 267 lb-ft of torque.
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The driver and passengers will be sitting in Milano leather upholstered heated and ventilated seats with Alcantara inserts, and the driver will be holding a heated steering wheel. A 10-speaker premium audio system provides the sound, and GPS navigation, Android Auto, and Apple CarPlay come as standard.
The 2020 MDX PMC Edition is due to launch early next year but will be debuting on November 20 at the 2019 LA Auto Show. Pricing is expected to be around the $65,000 mark, which is about a $10,000 premium for having the crossover hand-built versus a production line model close to the same spec.


Adding a New Module (ControlBar)
How to add a new module without content into the current page using the ControlBar. Adding a new module inserts a module.
Users must be authorized to deploy a module and have the appropriate page editing permissions to add a module to a page.
Important. If content localization is enabled, See "Adding a Module to a Multi-Language Site"
Tip: For information on managing module categories, See "Editing Module Extension Settings"
Option One - Drag and Drop Module
- On the Control Bar, hover over the Modules drop down menu and then select Add New Module. This will load and display a list of all modules within All Categories, or the previously selected category.
- Optional. Filter the module list by selecting a module category from the drop down box that is displayed above the list of modules. The available categories are:
- All: Modules within all categories including those that haven't been associated with a category. This is the default option.
- Admin: Modules that are typically used for site administration rather than managing content such as the Extensions and Digital Asset Management modules.
- Common: Modules selected as frequently used.
- Enterprise: Modules that are only included with Evoq Content Enterprise.
- Professional: Modules that are only included with Evoq Content.
- Locate the module to be added using the scroll bar located below the module list and then hover your mouse over the module to be added. This displays the message "Drag to add this module to the page below".
- Left click on the required module and then drag it down the page until the pane you want to add it to is highlighted with the message "Drop Module Here".
- Release your mouse button. The module is now added to the page.
Option Two - Insert Module
- On the Control Bar, hover over the Modules drop down menu and then select Add New Module. This will load and display a list of the modules within the Common category, or the previously selected category.
- Optional. If the required module isn't displayed, select the category that the module belongs to from the drop down box which is displayed above the list of modules. The available categories are:
- All: Modules within all categories including those that haven't been associated with a category. This is the default option.
- Admin: Modules that are typically used for site administration rather than managing content such as the Extensions and Digital Asset Management modules.
- Common: Modules selected as frequently used.
- Enterprise: Modules that are only included with Evoq Content Enterprise.
- Professional: Modules that are only included with Evoq Content.
- Locate the module to be added using the scroll bar located below the module list and then hover your mouse over the module to be added. This displays the Move icon in the top right corner of the module.
- Mouse over the Move icon to open the drop down menu and then select the pane that you want to add the module.
- The module is now added to the page.
Related Topics:
- For modules that you can now add content, See "Adding Module Content"
- To change the module title, See "Configuring Basic Module Settings"
- To change the module design, add the module to additional pages and add a module header or footer, See "Configuring Advanced Module Settings"
-
See "Installing Available Extensions"
-
See "Deploying and Installing More Extensions"
Tip: When you add the module listed as Users & Roles, three separate modules (Security Roles, My Profile and User Accounts) are added to the page. These modules do not need to be used on the same page. You can delete one or all of them, or move them to different pages as you like.


--- layout: page status: publish published: true title: The Daily Northside Recap author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 10739 wordpress_url: http://ivyenvy.com/?page_id=10739 date: '2015-01-12 13:42:32 +0000' date_gmt: '2015-01-12 19:42:32 +0000' categories: [] tags: [] comments: [] ---
Welcome to the Daily Northside Recap, which provides you with news and game summaries from the teams in the Cubs organization. The following teams are covered in The Daily Northside Recap:
[smart_podcast_player]


| Interface | Description |
|---|---|
| DataConsumer |
Interface for instances able to consume process' output and/or error output.
|
| DataProducer |
Interface for instances able to produce process' input.
|
| Class | Description |
|---|---|
| EnvironmentVariablesUtils |
A class for handling environment variable property of components SystemExecute and
ExecuteShellScript
|
| EnvironmentVariablesUtils.EnvironmentVariable | |
| EnvironmentVariablesUtils.EnvironmentVariableUpdate | |
| EnvironmentVariablesUtils.ParsedAssignment | |
| FileDataConsumer |
Reads data from input stream, which is supposed to be connected to process' output,
and writes them using an instance of class Writer.
|
| LoggerDataConsumer |
Reads data from input stream, which is supposed to be connected to process' output or more usually to error output,
and writes the data using logger.
|
| PlatformUtils |
Provides type of current platform - WINDOWS, LINUX, MAC.
|
| PortDataConsumer |
Reads data from input stream, which is supposed to be connected to process' output,
and sends them to specified output port.
|
| PortDataProducer |
Reads data from input port and sends them to specified output output stream,
which is supposed to be connected to process' input.
|
| ProcBox |
Class for running OS processes.
|
| ProducerConsumerExecutor |
Execute multiple produer threads, consumer threads and procces.
|
| StringDataConsumer |
Reads data from input stream, which is supposed to be connected to process' output or more usually to error output,
and stores the data so that they may be retreived as a string.
|
| StringDataProducer |
Data producerer supplying a string to output stream,
which is suposed to be connected to process' input.
|
| Enum | Description |
|---|---|
| EnvironmentVariablesUtils.AssignmentType | |
| EnvironmentVariablesUtils.InvalidEnvironmentVariableDefinition.ErrorSource | |
| PlatformUtils.PlatformType |
| Exception | Description |
|---|---|
| EnvironmentVariablesUtils.InvalidEnvironmentVariableDefinition |
Copyright © 2002-2015 Javlin a.s.


Geography is the study of places and the relationships between people and their environments.Geographers explore both the physical properties of Earth's surface and the human societies spread across universe.
These geographical environments for the students to learn.


The Greg Wycoff Scholarship Program has been established to help accelerate opportunities offered to Central Iowa youth through athletics and academics. Our vision is to see athletics used as a platform for youth to make meaningful relationships, set goals, and reach their full potential.
Greg Wycoff is an inspiration to the entire Kingdom family for many things. From 2013- 2015, Greg played a valuable role as the Director of Fundraising for Kingdom Cares. During April of 2015, Greg passed after his second battle with brain cancer. Through his position, he established a vision and need for fundraising that has only continued to grow. Those who had the opportunity to know Greg would describe him as a dedicated employee, loving father, and faithful believer in Christ.
Greg carried enthusiasm into his work at Kingdom Cares as he made it his mission create opportunities through the organization. This included making valuable connections in the community and communicating the achievements of youth going through Kingdom Cares. In an effort to honor Greg, his work at Kingdom Cares, and to carry out his vision of creating opportunities through athletics, we have established the Greg Wycoff Scholarship Program.
Opportunities for youth to enroll in an environment where heavy value is placed on hard work, leadership, and integrative inclusion. The scholarship program annually exceeds $250,000 in awarded scholarships as part of an effort to ensure all youth have an opportunity to join our programs. ($1,800 covers an athlete to participate in the Kingdom Hoops program via a donation through the Greg Wycoff Scholarship Program).
Program Designed for youth to meet certain criteria while enrolled in Kingdom programs so they can earn assistance for college outside of athletics. Grants will be written to eligible students to be used for college tuition and books during their freshman year. ($600 provides a scholarship grant via the Greg Wycoff Scholarship Program).


[gecode-users] Attempt to invoke operation on failed space?
Mikael Zayenz Lagerkvist
zayenz at gmail.com
Wed Apr 18 17:07:04 CEST 2007
Hi,
When the search-procedure recomputes a node, it will not follow
exactly the same path as the first time - several branching decisions
are added at once and then a fixpoint is computed (this is called
batch recomputation). If this fails, the an error such as the one you
observed might be thrown. This is one potential cause for your
problem.
One of the key properties that Gecode uses for enabling batch
recomputation this is that propagators should be monotonic. Typical
cases where propagators are non-monotonic might be: not subscribing to
all events used, using heuristic/random propagation algorithms,
reporting ES_FIX when that is not the case, and of course general
bugs.
The first issue is rather interesting. Subscriptions using propagation
conditions can be viewed as a contract between the propagator and the
system: all propagations that are done depend only on the information
given, and when less specific events occur nothing can be done.
The third issue can be more tricky than one expects. If a variable
occurs multiply, then most usual idempotence reasonings go out the
window. Also, for bounds propagators, one must be watchful of "falling
into holes in the domains". For example, given x={1..2, 5..7}, telling
x>3 will not lead to min(x)==4 as one could expect for pure
range-reasoning.
As for finding the problem in your propagator, I would recommend for
you to use the testing-infrastructure provided in Gecode. The tests
will interleave propagation and pruning to test that the propagator
really obeys all properties that it must. A test is specified as a
pair of functions for checking if an assignment is a solution to the
constraint, and a function for posting the constraint. For an example
to modify, see gecode_directory/test/int/distinct.cc.
Hope this helps,
Mikael
On 4/18/07, Peter Tiedemann <petert at itu.dk> wrote:
> Hi,
>
> I was wondering what the common causes were of the above error?
>
> Im running a DFS search on an unsolvable problem, and have a global
> constraint of my own design, along with some distinct constraints.
>
> Some time into the search, i return ES_FAILED from my propagate
> function(not for the first time), which is usually followed by a my
> propagators copy constructor being called, followed by my Space's copy
> method. However, in this case i get:
> "Exception: Space::clone: Attempt to invoke operation on failed space."
>
> just after my propagate method returns ES_FAILED.
>
> I realize that im not providing adequate information to debug this
> problem, but perhaps you could give me a hint on what could cause
> this?
>
> Regards
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
>
--
Mikael Zayenz Lagerkvist, http://www.ict.kth.se/~zayenz/
More information about the gecode-users
mailing list


'Better Red Than Dead': Foreign Minister Lavrov Explains Old School Diplomatic Memes
It’s not a surprise that 20th century culture was full of memes – and some of them were pretty elaborate – but it lacked the Internet and its various broadcasting platforms to make them as common as they are today.
It turns out that Russian Reversal memes, also known as "in Soviet Russia", are a real thing, according to a very reliable source.
Russian Foreign Minister Sergei Lavrov mentioned an old joke during a ceremony dedicated to the 100th birthday of renowned Soviet diplomat Oleg Troyanovsky.
According to him, Troyanovsky, who was the Soviet permanent representative to the United Nations from 1977 to 1986, was attacked by activists of a Chinese NGO in New York, who threw red paint at the Soviet diplomat.
Commenting on the incident, Troyanovsky readily summed it by saying "better red than dead", reversing the famous anti-Communist slogan, which was popular during the Cold War, and making his joke one of the UN's "memes" for years.


Index
A B C D E F G I L M O P R S T U V W Y
All Classes|All Packages
All Classes|All Packages
All Classes|All Packages
V
- validAdminPassword(String) - Static method in class GOFO.System.GoFo
-
Validate a password in the database
- validateEmail(String) - Method in class GOFO.UI.UI
-
Checks if a given email has a match with the emailRegex(email pattern)
- validateID(String) - Method in class GOFO.UI.UI
-
Validate an identification which must be 14 characters long
- validatePassword(String) - Method in class GOFO.UI.UI
-
Checks if a given email has a match with the passwordRegex(password pattern)
- validPassword(String, String) - Static method in class GOFO.System.GoFo
-
Validate a password
- viewBalance() - Method in class GOFO.UI.EwalletUI
-
View Balance
- viewBookings() - Method in class GOFO.UI.PlayerUI
-
Return the bookings of the player
- viewBookings() - Method in class GOFO.UI.PlaygroundOwnerUI
-
View all the bookings of his/her playgrounds.
- viewComplaints() - Method in class GOFO.UI.AdministratorUI
-
See a list of unresolved complaints.
- viewComplaintStatus() - Method in class GOFO.UI.PlayerUI
-
View the status of a complaint.
- viewPlaygroundInfo() - Method in class GOFO.UI.PlayerUI
-
Show a playground info given its id.
- viewPlaygrounds() - Method in class GOFO.UI.PlaygroundOwnerUI
-
View my playgrounds.
All Classes|All Packages