THE BRIDGES OF MADISON COUNTY A film review by James Berardinelli Copyright 1995 James Berardinelli
RATING (0 TO 10): 8.8
U.S. Availability: wide release 6/2/95 Running Length: 2:15 MPAA Classification: PG-13 (Mature themes, brief nudity) Theatrical Aspect Ratio: 1.85:1
Cast: Clint Eastwood, Meryl Streep, Annie Corley, Victor Slezak, Jim Haynie Director: Clint Eastwood Producers: Clint Eastwood and Kathleen Kennedy Screenplay: Richard LaGravenese based on the novel by Robert James Waller Cinematography: Jack N. Green Music: Lennie Niehaus U.S. Distributor: Warner Brothers
Cast against type, Clint Eastwood plays Robert Kincaid, the male protagonist in the motion picture adaptation of Robert James Waller's THE BRIDGES OF MADISON COUNTY. Kincaid is a sensitive loner, and while the actor is certainly known for his portrayal of independently-minded individuals, one would be hard pressed to describe Dirty Harry as a model of sensitivity. Nevertheless, this is not the first time Eastwood (who directs, as well as stars) has successfully stretched his range.
As good as Eastwood is, however, it's his co-star, Meryl Streep, who really shines. After taking a break from drama with the popcorn- munching adventure thriller THE RIVER WILD, she returns to the kind of role that made her famous, and gives perhaps her best performance since SOPHIE'S CHOICE. Streep is Francesca Johnson, a lonely housewife whose eyes and heart are opened to true love when Robert arrives in Iowa to take pictures of Madison County's covered bridges.
Francesca's husband and two children are away for four days at the Illinois State Fair, leaving her home alone when Robert stops for directions to the Roseman Bridge. Since the roads are unmarked, she guides him there in person, and the pair end up spending the rest of the day -- into the evening -- together. They start as friends with an endless capacity for conversation, but less than 24 hours later, they are in love.
THE BRIDGES OF MADISON COUNTY is a beautiful film, not only in the way it was photographed, but for the manner through which the characters are revealed to us. Eastwood will not be hurried, choosing a relaxed pace for the unfolding of this romance. There's a lot of dialogue -- some mundane and some touching on the quintessential aspects of the human experience. THE BRIDGES OF MADISON COUNTY presents a richly- textured emotional tapestry. It's the kind of movie you know is going to be special before much of the running time has elapsed.
In the book, Francesca is not an especially strong character -- things happen around her and she's swept up in the current. Richard LaGravenese's screenplay rectifies this, creating a dynamic personality for Streep to work with. In fact, the actress commented that she was "blind to the book's power" but thought the script was "beautifully crafted."
There aren't many intelligent motion picture romances. Besides THE BRIDGES OF MADISON COUNTY, the only other one (thus far) this year is Richard Linklater's BEFORE SUNRISE. And, as in that film, there's a profound sense of inevitability permeating the atmosphere, a realization that this magical time must come to an end -- and soon. In THE BRIDGES OF MADISON COUNTY, we know the conclusion before we learn the beginning (the story is presented through flashbacks), and this lends an air of poignancy to the proceedings.
It's easy to believe that Francesca and Robert's love is deep and special, but perhaps the real test of the film's power is whether the statements, situations, and characters transcend the screen to leave a lasting impression. Not many pictures are created with the necessary skill to challenge our perceptions and beliefs, but THE BRIDGES OF MADISON COUNTY is a rare exception.
- James Berardinelli<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


title = "Forgot password" url = "/forgot-password" layout = "Login" is_hidden = 0 [account] redirect = "investment-platform" paramCode = "/activation-succesful/:code" forceSecure = 0 [session] security = "guest" redirect = "investment-platform" [resetPassword] paramCode = "code" ==


The paper proposes the PHYRE (PHYsical REasoning) benchmark - consisting of classic mechanical puzzles in 2D physical environments - as a means to evaluate the physical reasoning ability of machine learning models.
2D world that obeys Newtonian mechanics.
Gravitational force + Friction.
Non-deformable objects that can be static (ie fixed) or dynamic (ie can move and are affected by collisions etc).
The learning agent starts in some initial world state (ie configuration of objects).
Goal is described in the form of (subject
, relation
, object
) where the agent’s task is to satisfy the relation
between the subject
and the object
.
Currently, only the “touch” relation
is supported.
The learning agent has to take a single action - placing one or more new dynamic objects in the world.
A simulator is run on the new configuration (for a fixed amount of time) to check if the goal condition is satisfied.
At the end of the simulation, a binary reward and intermediate observations (collected as the simulator executes) are provided to the learning agent.
These observations are 256*256 grids where each grid cell can take 1 of the 7 values (denoting different types of objects).
Since only one relation supported currently, the color is sufficient to encode the goal.
Two benchmark tiers are provided where each tier comprises of a combination of:
a predefined set of all the actions that the agent is allowed to perform.
set of tasks that can be solved by at least one action from the allowed action set.
PHYRE-B - The agent is allowed to place a single (ball of any radii) at any valid location.
PHYRE-2B - The agent is allowed to place 2 balls at any valid pair of locations.
Each of the two tiers has 25 task templates where each template comprises of variants of a single task (same goal but different initial conditions).
Two evaluation setups are considered:
within-template where the agent is trained on some tasks in a template and evaluated on a set of held-out tasks from the same template.
cross-template where the agent is evaluated on tasks from a different template.
In the training phase, the model has access to the simulator (but not to the correct solution). So the model could learn an action-prediction model or forward dynamics model or both.
In the testing phase, the model can query the simulator only a few times. Each query provides it with the binary reward and the intermediate observations.
The emphasis is on solving more tasks (in few queries) during the test phase.
This requirement is captured using a metric called AUCCESS.
In general, the tasks in PHYRE-2B are harder than tasks in PHYRE-B.
Random Agent - Randomly samples actions
Non-parametric agent (MEM) - generates R actions at random and uses the simulator to check how many tasks can be solved using these R random actions. During testing, try the R actions in the decreasing order of the number of tasks they solve.
Non-parametric agent with online learning (MEM-O) - Variant of MEM where an online adaptation step is performed during test time (to update the rank of the actions).
Deep Q Networks with an action encoder, observation encoder and fusion model (combine action and observation representation).
DQN with online learning (DQN-0): Variant of DQN with online updates (during the test phase).
Contextual bandits.
Policy learning approaches like PPO and A2C.
Both Contextual bandits and policy-based approaches show poor training stability.
The best agent, DQN-O, reaches AUCCESS of 56.2\% on PHYRE-B and 39.26\% on PHYRE-2B. In general, agents with online adaptation perform better.
The tasks are designed such that 100000 attempts are sufficient to solve 100\% of tasks in PHYRE-B and 95\% of tasks in PHYRE-2B.
Even though only two tiers are provided right now, the benchmark is readily extensible and new tasks can be added in the future.


These changes to the Host file are redirecting the call from the Photosynth1 synther to localhost which are then handled by a node.js component in this Electron package.
You will need to have a valid photosynth account.
The resulting zip files are saved to $HOME\photosynth1.


|
Deprecated Methods |
org.apache.commons.collections15.CollectionUtils.addAll(Collection, Enumeration extends E>)
Replaced by Collection.addAll(java.util.Collection extends E>) |
org.apache.commons.collections15.CollectionUtils.addAll(Collection, Iterator extends E>)
Replaced by Collection.addAll(java.util.Collection extends E>) |
org.apache.commons.collections15.collection.CompositeCollection.addComposited(Collection extends E>, Collection extends E>)
Superceded by the variable argument implementation of addComposited() |
org.apache.commons.collections15.set.CompositeSet.addComposited(Collection extends E>, Collection extends E>)
Superceded by the variable argument implementation of addComposited() |
org.apache.commons.collections15.bidimap.AbstractDualBidiMap.createMap()
For constructors, use the new two map constructor.
For deserialization, populate the maps array directly in readObject. |
org.apache.commons.collections15.CollectionUtils.index(Object, int)
use CollectionUtils.get(Object, int) instead. Will be removed in v4.0 |
org.apache.commons.collections15.CollectionUtils.index(Object, Object)
use CollectionUtils.get(Object, int) instead. Will be removed in v4.0 |
org.apache.commons.collections15.BagUtils.transformedBag(Bag, Transformer)
TransformedCollections are not type-safe in Java 1.5. |
org.apache.commons.collections15.BagUtils.transformedSortedBag(SortedBag, Transformer)
This breaks the java.util.Collection interface in Java 1.5. It is recommended that it not be used. |
org.apache.commons.collections15.BagUtils.typedBag(Bag, Class)
Java 1.5 generics makes this method no longer useful. |
org.apache.commons.collections15.BufferUtils.typedBuffer(Buffer, Class)
No longer required with Java 1.5 Generics. |
org.apache.commons.collections15.CollectionUtils.typedCollection(Collection, Class)
Obsoleted by Java 1.5 Generics. |
org.apache.commons.collections15.ListUtils.typedList(List, Class)
Java generics makes this method obsolete. |
org.apache.commons.collections15.MapUtils.typedMap(Map, Class, Class)
this is no longer needed with Java generics. |
org.apache.commons.collections15.SetUtils.typedSet(Set, Class)
Made obsolete by Java 1.5 generics. |
org.apache.commons.collections15.BagUtils.typedSortedBag(SortedBag, Class)
Java 1.5 generics makes this method no longer useful. |
org.apache.commons.collections15.MapUtils.typedSortedMap(SortedMap, Class, Class)
no longer needed with Java generics. |
org.apache.commons.collections15.SetUtils.typedSortedSet(SortedSet, Class)
made obsolete by Java 1.5 generics. |


ndtech
An open, agile, for profit, digital cooperative
Open: It is open to anyone who wants to join
Agile: It is rapidly evolving to better support the goals of the members
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Digital: The rules by which it operates are embodied in computer software
Co-Op: By joining, each member is bound by the cooperative agreement


LogUtils¶
UTILITIES¶
EditorLog¶
These methods create messages only while running the game in the editor. That means if you try to use these logs in a build, they won’t be logged.
EditorLog(string message, Object context)
Logs a standard message to the console.
EditorLogWarning(string message, Object context)
Logs a warning message to the console.
EditorLogError(string message, Object context)
Logs an error message to the console.
EditorLogException(Exception exception, Object context)
Logs an exception to the console.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | using NutTools.Utilities;
using UnityEngine;
public class MyClass: MonoBehaviour
{
public bool canMove;
public Transform target;
void MyMethod()
{
if (target == null)
{
NutLogUtils.EditorLogError("Target is null, can't proceed with the operation!");
return;
}
// Doing a thing...
if (canMove)
{
// Do the thing...
}
else
NutLogUtils.EditorLogWarning("Can't move! Is this intentional behavior?");
}
}
|
GET HELP¶
Join this Discord server to get help, suggest new features, and vote on future updates!
See also
NutArrayUtils and NutListUtils
NutIOUtils


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Back to the patch clamp!¶
[1]:
import patches
import lettertask as lt
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import itertools
import pandas as pd
General structure¶
[7]:
def model_generator(input_features, latent_features, timesteps, intermediate_features, **kwargs):
encoder = nn.Sequential(
nn.Linear(input_features, intermediate_features),
nn.ReLU(),
nn.Linear(intermediate_features, latent_features)
)
predictor = nn.Linear(latent_features, timesteps*latent_features)
decoder = nn.Linear(latent_features, input_features)
return {
'encoder': encoder,
'predictor': predictor,
'decoder': decoder
}
[8]:
model_hyperparameters = {
'timesteps': [1, 5, 10],
'intermediate_features': [1, 2, 3, 4, 5, 10]
}
[9]:
patchclamp = patches.patchclamp.PatchClamp(model_generator, model_hyperparameters)
[10]:
scr = patchclamp.get_scr(100, 1, timesteps=5, intermediate_features=2)
[11]:
scr(dataset[0])
[11]:
tensor([[0.2706]], grad_fn=<AddmmBackward>)
[12]:
scr.loss(scr(dataset[0]), dataset[0], nn.MSELoss())
[12]:
tensor(1.6143, grad_fn=<MseLossBackward>)
[13]:
cc = patchclamp.get_cc(100, 1, timesteps=5, intermediate_features=2)
[14]:
contrastive_dataset = patches.data.ContrastiveDataset(input_data, contrast_type='both',
prediction_range=5)
[15]:
cc.loss(cc(contrastive_dataset[0]), contrastive_dataset[0], nn.MSELoss())
[15]:
tensor(0.5718, grad_fn=<MeanBackward0>)
[44]:
params = list(cc.parameters())[0].detach().numpy()
[49]:
params = params/np.sqrt((params**2).sum(axis=1)).reshape(params.shape[0], 1)
[55]:
ideals = np.diag(1/np.sqrt(np.array([100]))).repeat(np.array([100]), axis=1)
[61]:
help(np.save)
Help on function save in module numpy:
save(file, arr, allow_pickle=True, fix_imports=True)
Save an array to a binary file in NumPy ``.npy`` format.
Parameters
----------
file : file, str, or pathlib.Path
File or filename to which the data is saved. If file is a file-object,
then the filename is unchanged. If file is a string or Path, a ``.npy``
extension will be appended to the file name if it does not already
have one.
arr : array_like
Array data to be saved.
allow_pickle : bool, optional
Allow saving object arrays using Python pickles. Reasons for disallowing
pickles include security (loading pickled data can execute arbitrary
code) and portability (pickled objects may not be loadable on different
Python installations, for example if the stored objects require libraries
that are not available, and not all pickled data is compatible between
Python 2 and Python 3).
Default: True
fix_imports : bool, optional
Only useful in forcing objects in object arrays on Python 3 to be
pickled in a Python 2 compatible way. If `fix_imports` is True, pickle
will try to map the new Python 3 names to the old module names used in
Python 2, so that the pickle data stream is readable with Python 2.
See Also
--------
savez : Save several arrays into a ``.npz`` archive
savetxt, load
Notes
-----
For a description of the ``.npy`` format, see :py:mod:`numpy.lib.format`.
Examples
--------
>>> from tempfile import TemporaryFile
>>> outfile = TemporaryFile()
>>> x = np.arange(10)
>>> np.save(outfile, x)
>>> _ = outfile.seek(0) # Only needed here to simulate closing & reopening file
>>> np.load(outfile)
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
Preparations for experiment 20¶
Studied models¶
[16]:
widths = [
[5, 5],
[10, 10],
[50, 50],
[5, 10],
[5, 50],
[10, 50],
[100, 100],
[1000, 1000],
[5, 5, 5],
[10, 10, 10],
[50, 50, 50],
[5, 10, 10],
[5, 10, 50],
[50, 50, 50],
[100, 100, 100],
[100, 200, 200],
[5, 5, 5, 5, 5],
[5, 50, 50, 50, 50],
[100, 50, 100, 50, 100]
]
[17]:
change_probabilities = [
[0.05, 0.5],
[0.05, 0.2],
[0.05, 0.1],
[0.2, 0.5],
[0.05, 0.1, 0.5],
[0.05, 0.2, 0.5],
[0.05, 0.08, 0.1],
[0.05, 0.1, 0.2, 0.4, 0.5],
[0.05, 0.08, 0.1, 0.2, 0.3],
[0.05, 0.4, 0.45, 0.48, 0.5]
]
[18]:
model_combinations = [[width, change_probability]\
for width in widths\
for change_probability in change_probabilities\
if len(width) == len(change_probability)]
[19]:
rs = np.random.RandomState(seed=10000)
[20]:
seeds = rs.choice(range(10000), size=100)
[22]:
samples = [
100,
1000,
1e4,
1e5,
5e5
]
Optimizers¶
For larger models, we should implement a random search rather than a grid search, but for such a small model, it seems nice to be apply to easily marginalize different dimensions.
For now, however, we only use learning rate as a hyperparameter.
[23]:
learning_rates = [
1e-6,
1e-5,
1e-4, 2e-4, 5e-4,
1e-3, 2e-3, 5e-3,
1e-2, 2e-2, 5e-2,
1e-1, 5e-1, 1
]
[24]:
methods = ['SGD', 'Adam', 'Adadelta', 'Adamax']
Putting the data frame together¶
[32]:
width = [5, 10]
[40]:
ideals = np.diag(1/np.sqrt(np.array(width))).repeat(np.array(width), axis=1)
[62]:
method = optim.SGD
[64]:
help(lt.data.CompositionalBinaryModel)
Help on class CompositionalBinaryModel in module lettertask.data.atomic_model:
class CompositionalBinaryModel(builtins.object)
| CompositionalBinaryModel(width=[100], change_probability=[0.05], samples=0, seed=None, random_state=None)
|
| The compositional binary model.
|
| This class models the compositional binary model, which consists of several
| atomic binary models.
|
| Args:
| width: How many columns should the matrix at each timestep have? (
| Default is 100.)
| change_probability: What should be the probability of the number
| changing in the first row? (Default is 0.05.)
| presamples: How many samples should be drawn initially? Further samples
| can always be drawn using the method 'sample'. (Default is 0.)
| seed: For reproducibility, you can provide a random seed.
|
| Raises:
| ValueError: If width is not a positive integer, change_probability is
| not a valid probability, presamples is negative or not an
| integer, or width and change_probability have unequal length.
|
| Methods defined here:
|
| __init__(self, width=[100], change_probability=[0.05], samples=0, seed=None, random_state=None)
| Initialize self. See help(type(self)) for accurate signature.
|
| animate(self, asp=2, fps=10, facet_labels=None, shadow=10)
| Animates the compositional binary model.
|
| Animations within the console do not work in arbitrary environments. The
| function therefore only works within IPython.
|
| Args:
| asp: The aspect ratio of the animation (default is 2).
| fps: Frames per second.
|
| Raises:
| NotImplementedError: If not run within IPython.
|
| animation(self, asp=2, fps=10, facet_labels=None, shadow=10, path=False)
| Returns an animation of the compositional binary model.
|
| Args:
| asp: The aspect ratio of the animation (default is 2).
| fps: Frames per second.
| path: Should the Image object or the path be returned?
|
| Returns:
| A PIL.Image object.
|
| Raises:
| ImportError: if fancyscaffold is not installed.
|
| latent_array(self)
| Returns the latent values as a numpy array.
|
| prediction_scaling(self, tau)
| Returns the uniform prediction of a linear feature extraction.
|
| Args:
| tau: How many steps into the future should we predict?
|
| predictive_quality(self, tau)
| Returns the predictive quality of the model.
|
| Args:
| tau: How many steps into the future should we predict?
|
| The predictive quality provides a measure for the favorability of a
| certain feature under a naive linear feature extraction.
|
| sample(self, samples)
| Samples new events.
|
| Args:
| samples: Number of samples.
|
| Raises:
| ValueError:
| If samples are not a nonnegative integer.
|
| title(self)
|
| to_array(self)
| Returns the data as a numpy array.
|
| to_dataframe(self)
| Returns a dataframe that is compatible with the animation function in
| R.
|
| ----------------------------------------------------------------------
| Data descriptors defined here:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)


|
movie - movie handle
x (optional) - position of top left point of movie. Defaults to 0. y (optional) - position of top left point of movie. Defaults to 0. width (optional) - width of movie. Defaults to movie width. height (optional) - height of movie. Defaults to movie height. |
|
Viewport and origin are not taken into account, and the movie must be positioned entirely 'on screen', otherwsie nothing will be drawn.
Movie support relies on DirectShow, so you will need to ensure the correct drivers are installed. Movies will typically playback fastest at their natural size. When playing MPEG or AVI files, the movie is played back at normal speed 'behind the scenes', and DrawMovie simply draws the most recent frame. For animated GIFs, the DrawMovie command simply draws the next frame of the animation each time it is called, so you need to manage your animation timing manually. See the example below for details. See also: OpenMovie, CloseMovie, MoviePlaying, MovieWidth, MovieHeight. |
|
; Movie Commands Example
; ====================== ; This demonstrates the following commands: ; ; OpenMovie ; MovieHeight ; MovieWidth ; MoviePlaying ; DrawMovie ; Some constants to start with Const WIDTH = 640 Const HEIGHT = 480 ; First of all, set up the graphics Graphics WIDTH, HEIGHT SetBuffer BackBuffer() ClsColor 0,0,0 Color 0,255,0 ; Next, open the movie file. Feel free to change this to an AVI or MPEG file. movie=OpenMovie("media/hat.gif") ; check to see if it loaded okay If movie=0 Then RuntimeError "Error - Movie not loaded!" If Not(MoviePlaying(movie)) Then RuntimeError "Error - Movie not playing!" ;Now determine the size of the movie w=MovieWidth(movie) ; the width of the movie h=MovieHeight(movie) ; the height of the movie ; Now set up the starting position and timing variables x=(WIDTH-w)/2 ; the x position of the movie on screen y=(HEIGHT-h-100)/2 ; the y position of the movie on screen period=100 ; the interval between frames time=MilliSecs() ; the time of the last frame update ; And here's the main loop Repeat ; Wait for the specified period ; GIFs have no timing info, and as such will redraw the next frame on each call to DrawMovie. ; AVIs and MPEGs do have timing info, and as such will redraw the most recent frame on each call to DrawMovie. ; Ergo, this time limiter only has an impact, and is only required for GIFs. Repeat ; do nothing Until MilliSecs()-time>=period time=MilliSecs() ; save the current time for the next frame ; Handle keyboard inputs ; CONTROL adjusts the speed with which we do stuff If KeyDown(29) Or KeyDown(157) Then change=5 Else change=1 End If ; SHIFT means we're dealing with the size If KeyDown(42) Or KeyDown(54) Then If KeyDown(203) And w>change-1 Then w=w-change If KeyDown(205) And x+w+change < WIDTH Then w=w+change If KeyDown(200) And h>change-1 Then h=h-change If KeyDown(208) And y+h+change < HEIGHT Then h=h+change Else ; otherwise it's the position that we're changing If KeyDown(203) And x>change-1 Then x=x-change If KeyDown(205) And x+w+change < WIDTH Then x=x+change If KeyDown(200) And y>change-1 Then y=y-change If KeyDown(208) And y+h+change < HEIGHT Then y=y+change EndIf ; +/- to change the animation speed If ( KeyDown(13) Or KeyDown(78) ) And period>change Then period=period-change If ( KeyDown(12) Or KeyDown(74) ) And period < 500 Then period=period+change ; Redraw the screen, by... Cls ; clear the screen DrawMovie movie,x,y,w,h ; draw the movie ; draw the instructions Text 0,0,"Use the arrow keys to reposition the movie." Text 0,20,"Hold SHIFT with the arrow keys to resize." Text 0,40,"Use + or - or control the animation speed." Text 0,60,"Hold CONTROL to resize, move, or change speed faster." Text 0,80,"Press ESCAPE to exit." Text 0,100,"Current Command Syntax: DrawMovie(movie, " + x + ","+ y + "," + w + "," + h + ")" ; Flip the buffers Flip Until KeyHit(1) ; Escape to exit ; Remove the movie from memory before closing down CloseMovie(movie) End ; bye! |


This app enhances the existing Manage Sets admin page in Alma,
allowing you to bulk delete Sets you have created.
Navigate to Admin > Manage Sets > My Sets to use this app.
0">
{{ 'Translate.Select' | translate }}
A total of {{ ids.size }} items have been selected.


| 1967 |
The Eastern portion of Nigeria secedes as Biafra. |
| 1970 |
Biafra surrenders and becomes part of Nigeria again. |
| 10 Jul 1984 |
British customs officials in London open a large wooden crate marked "diplomatic baggage" because of its extremely odd odor. Inside they discover Alhaji Umaru Dikko, Nigeria's former Minister of Transport and Aviation. He had been abducted, drugged, and bound for Nigeria to face trial for embezzlement. |
| Nov 1993 |
General Sani Abacha seizes power in a military coup. |
| 1998 |
President-for-life Sani Abacha dies during a sex romp with a prostitute. |
| Jan 2002 |
An explosion at a munitions dump in Lagos leaves over 1,000 dead. |
| Nov 2002 |
Rioting over the Miss World pageant leaves 200 dead, in the largest beauty pageant disaster in the history of mankind. |
| 19 Feb 2003 |
Nigerian Counsel Michael Lekara Wayid shot dead in Prague by a victim of the Nigerian email spam. |


A switch statement without an enclosed break statement may be a bug.
This rule is deprecated, use {rule:squid:S128} instead.


We aggregate solutions!
- synergize robust convergence
- leverage rich channels
- enhance B2B partnerships
- e-enable cross-media web services
- implement transparent infomediaries
- recontextualize best-of-breed infomediaries
- target magnetic web services
- benchmark dynamic e-business
- drive impactful channels
- incentivize killer e-business
- streamline web-enabled e-tailers
- whiteboard plug-and-play applications
- seize collaborative channels
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Purpose of this module is to provide a cache api with differents providers. Currently the following cache providers are contained in the module:
simple hashmap
ehcache
Typical use case for this API could be the following : you have an functionnal API which create objects by using a requirement on a DAO plexus components. Before asking the DAO layer (webServices, Jdbc access …), you want to ask if the data exists in a cache if yes the cached value is return if not the DAO layer is used and the result put in the cache for future use.
Look at the test case AbstractTestWineService
in the module spring-cache-test. A service called WineService
explains this. The default implementation has two requirements :
WineDao (DAO layer)
CacheBuilder
CacheBuilder can build a cache for the bean you ask (in the sample it’s Wine) cacheBuilder.getCache( Wine.class ) This will use the following algorithm to provide the Cache implementation :
search the Spring Cache with roleHint Wine.class.getName()
if not found : lookup the Spring component Cache with name cache#default
if not found : return NoCacheCache
implementation in order to prevent NPE
spring-cache-api
spring-cache-test
spring-cache-providers


This JQuery plugin is helping to create strong passwords which could resist guessing and brute-force attacks.


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{% load static %} {% load bootstrap3 %}
게시물이 없습니다.
{% endfor %}
Machine learning based Analyzer.
Project progress representer. With D3.js, it shows task based relationship.
Ted-creatura-Jeong. I got BA, MA in GIST on Physics for the Quantum Many Body System. I have a wide interest on any scale of technology through underline physics and mathematics, the Embedded system to Mechanics and robotics. Also, I like any artistic and creative work especially for Jazz pop through pop arts.
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He taught me so much – Alli hails Argentinian
by BeSoccerIn the aftermath of Mauricio Pochettino's sacking by Tottenham, Dele Alli was among the first players to speak out on social media.
Dele Alli was one of the first players to thank Mauricio Pochettino following Tottenham's decision to sack the Argentine coach, posting an emotional tribute on social media.
Spurs announced Pochettino's departure with the club sitting 14th in the Premier League and winless in five league matches, but the decision nevertheless sent shockwaves around European football.
Under Pochettino, Alli was handed his league debut for Tottenham in 2015-16, and the England midfielder went on to finish second in the Premier League under his guidance the following season.
Alli has made just four league starts for Spurs this season, scoring two goals, but he went on Twitter to reflect on the lessons learned under Pochettino's leadership following the news of his dismissal.
Featured links
- BREAKING NEWS: Mourinho replaces Pochettino at Tottenham
- The latest football transfers news and rumours
- Wales, golf, Madrid... in that order
- Luis Enrique returns to Spain national team
"I can't thank this man enough," Alli wrote.
"He's taught me so much and I'm so grateful for everything he's done for me."
Pochettino started Alli 28 times during the 2015-16 Premier League season and the playmaker has been a regular in his team ever since, when fit.
The club spoke of a "need to re-energise and look to deliver a positive season for our supporters" in the statement announcing Pochettino's departure, and Alli wished his former boss well.
"Good luck and hope to see you again my friend," Alli wrote.


Global Name Sorter
A name sorter by Ben Minerds
Source Code:
GitHub
NuGet Packages:
GlobalNameSorter CLI Application
NameSorter Library
Continuous Integration:
Travis
AppVeyor


The winter of 1949-50
This was the hardest winter that I have ever experienced. It was normal for the snow to fall deeper than the normal fences and in most years the schools would have to be closed for a few days because the buses could not get through due to roads being closed from winter storms. I believe that is was after the Christmas Holidays that the storms started in and just continued for over three weeks. The snow had long before covered the fences and now continued to pile up. Shortly after Christmas, my sister Margaret and her husband Dean and daughter Cheryl had gone to Idaho Falls, along with another couple, friends.
When the storms got worse they started back to the Valley. They got as far as Teton and stopped at Uncle Lee and Aunt Welma. There they found out that the road into the valley was closed with snow.
Cheryl was only a baby at this time. Uncle Lee and Aunt Welma had only a small basement home, so with their family, consisting of them and 5 children, and then add four more adults and a baby, to say the least it was crowded. The snow was so deep that they couldn’t go anywhere except to walk a block to town. Town consisted of a gas station/grocery store, a post office and a pool hall. Uncle Lee could walk to the barn to take care of the animals but that was about it.
 On the news, they got the report that the road to the valley had been opened. They quickly packed up and ran for the car. They said goodbye to Uncle Lee and Aunt Welma and left. When Aunt Welma re-enter the house the radio reported, a travelers warning, that the road had again blown closed and no one should try driving to the valley. Uncle Lee ran back outside but it was too late, for they had gone out of sight.
Aunt Welma called our house to let Mom know that they had left and what the News had reported. Mom called Dean’s mother to let them know the situation. Dean’s step-father also worked for the High Way Road Department, I believe he was the Supervisor of the Road crew. He therefore immediately started the road crews and equipment to work on reopening the road. Plows could not push through the snow so they started with the huge rotary snow blowers. The concern however was that with the snow being so deep, it would cover a stalled car. The road crew therefore had men on snowshoes walk ahead of the plows with long probing polls, shoving them deep into the snow, hoping to locate any covered vehicle. The next big concern, was could they keep air into the car if it was covered with snow.
By morning the storm subsided and that made work go much faster. By early afternoon Dean and the other man skied into the valley for help. They had both became snow blind due to the sun shining. They reported that they had left the car at day break; that they had been able to drive past the Green Canon Bridge plus another couple of miles, when they came upon another car that had slid sideward’s and blocked the road. The other car had a couple and a baby in it. They got all six adults and two babies in to Dean’s car, where they stayed warn and kept an passage open to the surface, both for air and escape. With the report of approximate location of the stranded cars, the road crews were able to move faster. By evening the cars were located and everyone brought back into the valley.
Another interesting side event to this rescue: was at that period of time, all phone calls out side of the valley were long distant calls and had to be connected by an operator. Also our phone lines were party lines and so there was three to six families all using the same line. From the first call from Aunt Welma, the operators, kept all lines connecting our place, Aunt Welma’s, Dean’s parents and Aunt Vida’s lines open so that if anyone of those homes picked up the receiver, an operator was there to connect to anywhere they wanted. As far as I know, there were no charges for that service.
A second story relating to that winter happened a couple of week after schools had been closed. Dad had pigs at his slaughter house which was located one mile outside of town. Dad became concerned that the pigs would be out of feed and possible unable to get to the creek for water. He and I loaded three, 100 lb bags of wheat on to our toboggan. We rapped our legs with burlap sacks, over our winter clothes and pulled the toboggan one block to the road that went west of town, to the slaughter house. That was not to bad of a pull as teams of horses and slays had kept the main street somewhat open, but all other roads were snow bound. As we turned west, Dan and I would crawl to the end of Dad’s lariat, which was tied to the rope of the toboggan. We would both then pull until we got the toboggan to us. The first pull was so hard that we took one bag off and did it again.  We continued that way to the slaughter house. We were both exhausted and soaked to the skin by the time we got there.
Just before we had got to the slaughter house, we met men, using three teams of horses, on a bob slay, trying to get milk from the farmers into the creamery. They had started before daylight and it was now mid-afternoon. Dad spoke to some of the men as they let the horses rest. They had gone about half way out on the normal milk route and then started back to town picking up the milk cans. They had picked up 2 and ½ layers of cans and found that the horses could not pull the bob slay that heavy, so they started unloading can to lighten the load. By the time we met them they had only ½ a layer of cans left and the teams were done in. I don’t remember seeing any more stacks of milk cans along the way back so they must have made it with a few cans.
At the slaughter house dad made a fire in the stove and had me warm up and we dried our wet clothes. We dumped the grain into the feeder, and got the pigs up to the feeder. We also shoveled a path for them to get to the creek for water. After getting dry and dressed warm we again crawled back to town although we didn’t have to take anything back with us and we could somewhat follow the bob slay tracks.
At the end of being snowed in for three weeks, the 1st Class Mail was flown in and dropped by parachute. The three stores, which were in town, looked like they had moved out and left one or two cans of odd type food behind on the shelves.
The snow became so deep that we were warned, to stay away from the power lines. It was reported that some cattle had been electrocuted because of walking into the power lines. When the road that went by the slaughter house was finally opened the snow banks had been pushed so high that Irven and I had climes to the top and looked down on the top of a school bus as it went by. Craig Sherman’s mother, my age, has a picture of her sitting on the top of a telephone post with her feet on the snow. The snow was so high on the roof of our house that Dad laid a 2 X 12 from the snow to the eve of the roof and we walked across it and shoveled the snow off the roof.
We missed over five weeks of school year.


[dscrdvrsc] <miketout> @Thoskk did you tell them how ridiculous that is right now?
[dscrdvrsc] <miketout> i guess just a disservice to their members(edited)
[dscrdvrsc] <Thoskk> still trying @miketout ... but I don't think it will be understood.
[dscrdvrsc] <miketout> you can show that yes, we do have FPGAs on the network, and based on price performance of what is currently available, they perform competitively with the best CPUs right now, meaning CPUs are still competitive.(edited)
GatewayBOT15-Mar-19 09:56 PM
[dscrdvrsc] <Thoskk> seem's they're quite puristic about what they call a "CPU minable" coin ... and the're judging the whole project from a few numbers. I can't see how this will work out. And I'm not sufficiently motivated to argue with a "religious" miner.
[dscrdvrsc] <zpajk> I second that, @Thoskk. Hard to measure but I don’t see our presence there making a difference either. Yet, sticking us under primarily fpga is just ignorant, no offense intended.
[dscrdvrsc] <Thoskk> I'm with you, and I also think it's at least not totally openminded for possibilities @zpajk . However - discussion will not change anything in their minds, so ... I rather spend my time with more important things (edited)
[dscrdvrsc] <miketout> thanks for trying to help them
[dscrdvrsc] <Thoskk> let's wait until the panic settles.
GatewayBOT15-Mar-19 10:24 PM
[dscrdvrsc] <0x03> well. we tried talking to them.
[dscrdvrsc] <0x03> now we're talking about german tax laws
[dscrdvrsc] <Thoskk>
[dscrdvrsc] <0x03> i think it can be summed up to "whenever there is something thats slightly more efficient than a cpu, or at least offering remarkably more hashrate than a cpu it is not cpu favourable anymore"
[dscrdvrsc] <0x03> finding yescryptR16 coins labeled as GPU coins speaks a similar language.
[dscrdvrsc] <Thoskk> well... as said before, there wasn't much traffic in that channel neither, so I don't think we lost a lot.
GatewayBOT16-Mar-19 01:04 AM
[dscrdvrsc] <Godballz> @Thoskk yeah I agree. In our brief time there and my occasional visits, I've found being added there to be minimally beneficial both to us and for their own members. The layout doesn't help anyone to find anything new out anyhow.
Apparently they have a very specific definition for what a CPU mineable project is now, one that they're seemingly ok with misrepresenting to their own members that look to them for guidance and one that also technically happens to not fit the standard English definition for the suffix "able" by any account..
I'm making a mental note to make it a point to revisit this cpuminersclub in a bit to see just when it is that they finally see the light and decide to come back around. Matter of time.. (edited)
GatewayBOT16-Mar-19 03:03 AM
[dscrdvrsc] <SmeLLyArMpiTs> Tell them there is a noob mining on an atom cherry trail. So cpu mineable indeed!
GatewayBOT16-Mar-19 06:28 AM
[dscrdvrsc] <Vycid> @zpajk I came from CPU Miners club fwiw
[dscrdvrsc] <Vycid> in fairness this is the natural way of things. I've seen many good projects get rotated out because they simply aren't in line with profitability from other coins
[dscrdvrsc] <Vycid> They might be jumping the gun a bit (I haven't pulled my miners, or anything), but the FPGA netshare is almost certainly just going to grow(edited)
[dscrdvrsc] <Vycid> If I do the cold profit calculation, at this moment yes, I am better off mining PascalCoin
GatewayBOT16-Mar-19 07:34 AM
[dscrdvrsc] <GlorymanRTS> Here are my calculations. 1. 200mh approximately 30 coins a day 2. 0.00002000 vrsc/btc. and btc $3950. 3. 30 x 0.00002000 x $3950 =$2.37 minus electricity, thus $865 minus electricity. F1 miner is 2k. I don't no why anyone would buy an f1 miner to get close to 30%-40% ROI. I don't expect blackminer F1 FPGAs to stay on network for long but we can wait and see.
GatewayBOT16-Mar-19 03:12 PM
[dscrdvrsc] <SmeLLyArMpiTs> Hello. Any idea of wallet.dat between windows and OS X ? Can I just copy over ..
GatewayBOT16-Mar-19 03:58 PM
[dscrdvrsc] <paia> should be the same format.
GatewayBOT16-Mar-19 05:28 PM
[dscrdvrsc] <SmeLLyArMpiTs> After copying over when I select verus. Nothing happens.
[dscrdvrsc] <SmeLLyArMpiTs>
GatewayBOT16-Mar-19 06:09 PM
[dscrdvrsc] <Oink> It worked... for some reason his Agama hadn’t shutdown all daemons on exit. System restart fixed it...
[dscrdvrsc] <SmeLLyArMpiTs> Yeah done.
[dscrdvrsc] <Badfish> So I have always noticed the tips/thunderstruck thing....but how exactly does that work? Is there a discord wallet? Do you need to register a wallet somewhere? Noob question...Hardware Im good, software-not so much
[dscrdvrsc] <Oink> You can dm the tipbot directly with the !vrsctip command. That should tell you all you need to know. You don’t need to register
[dscrdvrsc] <Oink> Faucet and rain functionality are not functional!
[dscrdvrsc] <Oink> You can transfer funds to and from it....
GatewayBOT16-Mar-19 08:38 PM
[dscrdvrsc] <paia> #tipbot
GatewayBOT17-Mar-19 04:23 AM
[dscrdvrsc] <SmeLLyArMpiTs> !tipbot
[dscrdvrsc] <SmeLLyArMpiTs> #tipbot
GatewayBOT17-Mar-19 12:14 PM
[dscrdvrsc] <0x03> heh. your command was incomplete i think
[dscrdvrsc] <0x03> retry with !vrsctip info for example, but use #tipbot to do so (edited)
GatewayBOT17-Mar-19 03:20 PM
[dscrdvrsc] <0x03> anybody interested to have a veruscoin patch to sew onto his backpack, jacket,tshirt or whatnot?(edited)
GatewayBOT17-Mar-19 03:27 PM
[dscrdvrsc] <Oink> On my motor jacket: The Verus Angels!
[dscrdvrsc] <0x03> VCMC scnr
GatewayBOT17-Mar-19 03:37 PM
[dscrdvrsc] <0x03> i'll be getting 50, 60, 70 and 80mm diameter as test sizes. sorry, imperials
[dscrdvrsc] <0x03> lol. 5cm would be expressed as 1 31/32inches(edited)
[dscrdvrsc] <0x03> are you kidding me.
GatewayBOT17-Mar-19 03:51 PM
[dscrdvrsc] <RicKillerZ> Long time but Thanks @miketout !
The US Defense Department has awarded a $10 million contract to design and build a secure voting systems. https://t.co/xMwc3rcvhS
GatewayBOT17-Mar-19 07:36 PM
[dscrdvrsc] <Oink> Military & voting??? That’s a contradictio in terminus!,!
GatewayBOT17-Mar-19 07:43 PM
[dscrdvrsc] <Oink> And they spend $10M on contracting it to an external company, to make an open source system, while the Verus foundation is developing (amongst other things) a powerful system that can do exactly that and much more... unbelievable!!!(edited)
GatewayBOT17-Mar-19 10:22 PM
[dscrdvrsc] <AkiraX> Anything new with verus?
GatewayBOT17-Mar-19 10:53 PM
[dscrdvrsc] <bishop> Anyone know why I seem to only get 5 to 6 connections when I have p2port 27485 open, maxconnections=40, server=1, listen=1,listenonion=1 in the config file?
GatewayBOT17-Mar-19 11:30 PM
[dscrdvrsc] <Godballz> @bishop have you gotten more before from that? 5 is what I always get too but I never changed those values either
GatewayBOT17-Mar-19 11:47 PM
[dscrdvrsc] <bishop> 5 is what you cap at unless you run a full node (like the explorers or pool servers run). Just stumped why I'm not maxing out on connections
GatewayBOT18-Mar-19 02:27 AM
[dscrdvrsc] <miketout> @bishop it was dropped to 4 some months ago to reduce connectivity pressure across the whole network. at 4, open connections were often not picking up much traffic in the way of incoming. We raised it to 5 to strengthen the general connectivity and raise average connection count a bit, rather than jump to 6. Raising it to 5 did create more connectivity on some nodes that we were watching, but raising it to 6 might still strengthen things further if the network can easily handle it. Network connectivity overall seems pretty healthy, but if it can absorb a little more connectivity at 6 outgoing, because there's extra capacity on open nodes, then it won't hurt. thanks for the info.
GatewayBOT18-Mar-19 02:40 AM
[dscrdvrsc] <lootz> verus is one of the few PoS coins I like and participate in, how many of you would like to see a stake pool to get more returns for staking ? I had an interview with Polyshield and can get us added... possibly not sure about the technical difficulty with sk-snarks adding
GatewayBOT18-Mar-19 03:09 AM
[dscrdvrsc] <GeekOPS-101> yeah I dont have a masternode yet, id throw my stack of coins in with Verus people for sure
GatewayBOT18-Mar-19 03:34 AM
[dscrdvrsc] <bishop> @miketout How are the pools and explorers getting more than 5 or so connections? What am I missing? I figured the config file and port forwarding on my end was enough to connect to more than five.
GatewayBOT18-Mar-19 04:01 AM
[dscrdvrsc] <miketout> there is nothing special they are doing that I know of. As long as the ports are open, it should be able to get more connections, and with the explorer at 160, I would think there may be another issue on incoming. Are you sure you have IPv6 support? Maybe @0x03 would have an idea.
GatewayBOT18-Mar-19 04:25 AM
[dscrdvrsc] <hin5584> Which is the best exchanges site for vrsc coin now?
[dscrdvrsc] <0x03> @bishop DM me, lets talk about your setup.(edited)
GatewayBOT18-Mar-19 09:22 AM
[dscrdvrsc] <SmeLLyArMpiTs> Hi all. Is it true that modern processors usually do more with less energy? Am considering the viability of using my old rigs. I revive an AMD triple core and despite plugging out hdd 2 and dvd rom , it burns 120watt at rest -.-
[dscrdvrsc] <SmeLLyArMpiTs> I even took out the dedicated sound card
[dscrdvrsc] <zpajk> Are you referring to modern cpus being more power efficient in general or verushash specifically as it uses modern instructions which renders older cpus less viable for mining?(edited)
GatewayBOT18-Mar-19 09:40 AM
[dscrdvrsc] <SmeLLyArMpiTs> @zpajk i guess for wallet staking and mining .. figured i use an old rig to be a 24/7 however the power seems too high .. even my i5 intel 4 cores useless less than that amd
[dscrdvrsc] <zpajk> Staking doesn't require much at all, but mining does. For mining the cpu should support AVX, AES-NI and PCLMUL, else the hashrate will suffer greatly. Older AMDs are power hungry in general.
[dscrdvrsc] <SmeLLyArMpiTs> yeah .. my another rig is a pentium R 2ghz i think its pointless for that too
GatewayBOT18-Mar-19 11:20 AM
[dscrdvrsc] <0x03> if power prices arent your limiting factor, theres some other altcoins you can mine with these.
[dscrdvrsc] <0x03> they're not useless, but it's not going to be the profitabilitybomb either
GatewayBOT18-Mar-19 02:29 PM
[dscrdvrsc] <Vycid> There are generally huge differences between old and new hardware in terms of compute per watt, yes
[dscrdvrsc] <Vycid> Power consumption has trended mostly flat (exception is memory), but obviously total theoretical compute has gone up dramatically
[dscrdvrsc] <Vycid> if we're comparing a chip from 2008 to 2018 for example, the newer chip is likely more than 10x as efficient when running flat-out
[dscrdvrsc] <Vycid> But for mining basically any currency, there are considerations besides pure compute output, like vector extensions, hardware crypto acceleration, etc
[dscrdvrsc] <Vycid> those are much more important than generational CPU improvement
[dscrdvrsc] <Vycid> If you're determined to do your own staking, I would suggest getting a used server off eBay. They are cheap, efficient and extremely reliable. Plus it's cool
[dscrdvrsc] <Vycid> However they are loud, so ensure you have a good spot for one
[dscrdvrsc] <Vycid> I just bought an R420 for $150+$50 shipping, it came with 4x 500 GB drives, 8 GB memory and rack rails
[dscrdvrsc] <Vycid> If you look around there are some really good deals


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GetRuntimeString()
Syntax
Result$ = GetRuntimeString(Object$)Description
Returns the string value of the runtime object.
Parameters
Object$ Name of the object to get the value from. The following objects are supported:
- Variable: the object name is 'VariableName' (case insensitive).
- Constant: the object name is '#Constantame' (case insensitive).
When accessing public module items, the module prefix name is mandatory, even if UseModule is used.
Return value
Returns the string value of specified object, or an empty string if not found. As an empty string is a valid string value, IsRuntime() can be used to determine if the runtime object really exists.
See Also
SetRuntimeString(), IsRuntime()
Supported OS
All


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class: center, middle, inverse # .NET Memory Diagnostics and Benchmark --- class: inverse # Agenda - .NET Memory Management Basics - BenchmarkDotNet Intro - Diagnostics .NET Memory Dumps --- class: inverse # .NET Memory Management Basics - Stack & heap - Heap types - Approaches to memory management - `C/C++`: manual/smart pointers - `Objective-C/Visual Basic`: Reference counting - `.NET CLR/Java`: GC with mark & sweep --- class: inverse # Value types & Reference types - Value type - Primitives (int, bool, ..), enums & struct - Usually lives on stack - Assigned & compared by value - `IEquatable of T` for fast comparison - Boxing & unboxing - Reference type - Allocated on heap - Assigned & compared by reference - Subject to GC --- class: inverse # Heaps in .NET - SOH (Small Object Heap) - 3 Generations: Gen0, Gen1, Gen2 - Mark & sweep - Compacting - LOH (Large Object Heap) - Holds objects > *85K* - Free space list - Not compacted --- class: inverse # Heap Allocation - SOH - Allocation in Gen 0 heap - Consecutive allocation using Next Pointer - Fast and better memory locality - Usually no fragmentation - LOH - Free Space table lookup - Internal fragmentation - Heap expansion --- class: inverse # Garbage collection : Mark & Sweep ## Mark phase - GC roots - Stack - Statics - CPU registers - F-Reachable (finalizables) - Reachability - Islands of isolation --- class: inverse # Garbage collection : Mark & Sweep # Sweep phase - Relocaing: Updates the references to the objects that will be compacted - Compacting: Moves objects and reclaims memory - Gen0 Collection - Most frequest, Least expensive - Object can: Die, Gen0 -> Gen1 - Gen1 Collection - Collects both Gen0 and Gen1 heaps, more expensive - Object can: Die, Gen0 -> Gen1, Gen1 -> Gen2 - Gen2 (Full) Collection - Collects ALL heaps including LOH, most expensive - Object can: Die, Gen0 -> Gen1, Gen1 -> Gen2, be freed from LOH --- class: inverse # GC & Pinning - Memory are Pinned for native interop - GC cannot compact pinned memory in SOH - Allocate pinned memory in LOH --- class: inverse # Garbage collection : Server GC https://msdn.microsoft.com/library/ee787088(v=vs.110).aspx#what_happens_during_a_garbage_collection - Workstation GC Stops the world - Server GC ```xml
``` --- class: inverse # BenchmarkDotNet Intro https://github.com/dotnet/BenchmarkDotNet ``` csharp public class Md5VsSha256 { /* ... */ [Benchmark] public byte[] Sha256() => sha256.ComputeHash(data); [Benchmark] public byte[] Md5() => md5.ComputeHash(data); } BenchmarkRunner.Run
(); ``` ``` BenchmarkDotNet=v0.10.1, OS=Microsoft Windows NT 6.2.9200.0 Processor=Intel(R) Core(TM) i7-4702MQ CPU 2.20GHz, ProcessorCount=8 Frequency=2143476 Hz, Resolution=466.5319 ns, Timer=TSC [Host] : Clr 4.0.30319.42000, 64bit RyuJIT-v4.6.1586.0 DefaultJob : Clr 4.0.30319.42000, 64bit RyuJIT-v4.6.1586.0 | Method | Mean | StdDev | Allocated | |------- |------------ |---------- |---------- | | Sha256 | 130.5169 us | 1.8489 us | 188 B | | Md5 | 25.8010 us | 0.1757 us | 113 B | ``` --- class: inverse # BenchmarkDotNet Intro - Microbenchmarking is hard - Generates an isolated project per each benchmark method - Does several launches of this project - Run multiple iterations of the method (include warm-up) - Auto select iteration amount - Overhead evaluation - Platform/Runtime Metrics - Platform (Full Framework/CoreCLR/Mono) - Processor Architecture (x86/x64) - JIT Versions (LegacyJIT/RyuJIT) - GC Flags (Server/Workstation) - Reports (markdown, csv, html, plain text, png plots) --- class: center, middle, inverse ![](https://benchmarkdotnet.org/Images/Overview-RPlot.png) --- class: inverse center middle # Case Study 1: OL Linq Memory Leak ![](images/ol-linq-leak.PNG) --- class: inverse center middle # Case Study 2: OL Linq Hang ![](images/ol-linq-hang.PNG) --- class: inverse center middle # Case Study 3: Docs Logging Memory Leak ![](images/docs-log-leak.PNG) --- class: inverse center middle ## Take a Dump and Measure


|
services
|
Services
provides access to global services by interface, e.g. Services.Require<MyServiceInterface>().
More...
Public Member Functions | |
| void | SetActiveContext (string ctx) |
| T | AddPersistentComponent< T > (string name) |
| void | RegisterService< RegistrationInterface > (ServiceRegistration serviceRegistration) |
| void | RegisterService (ServiceRegistration serviceRegistration, Type registrationInterface) |
| bool | UnregisterService< RegistrationInterface > () |
| bool | UnregisterService (Type registrationInterface) |
| ServiceType | GetService< ServiceType > () |
| object | GetService (Type registrationInterface) |
Static Public Member Functions | |
| static void | DisableSelfLoad () |
| static void | ShutdownAll () |
| static void | Init (Action callback=null) |
| Default init op. Handy especially for integration tests More... | |
| static ServiceType | Require< ServiceType > () |
| Locate a service by registration interface and throw an exception if it cannot be located. More... | |
| static ServiceType | Locate< ServiceType > () |
| Locate a service by registration interface. More... | |
| static object | Locate (Type type) |
| Locate a service by registration interface. More... | |
| static void | IfAvailable< ServiceType > (Action< ServiceType > action) |
| Perform an action on a service ONLY if the service is available, i.e. if the application is quitting, ignore and avoid errors More... | |
| static void | SetContext (string ctx) |
Public Attributes | |
| const int | REGISTRATION_GROUP_DEFAULT = 0 |
| Registration groups provide a way to provide control over the order in which registered services are instantiated and receive their InitService message (for services that implemenent AutoInitService). More... | |
Properties | |
| static Services | Get [get] |
| static UnityEvent< Services > | InitStatusUpdated [get] |
| bool | isInitInProgress [get] |
| bool | hasInit [get] |
| True if Service initialization has completed (at least one time) More... | |
| string | activeContext [get] |
| static bool | isEnabled [get] |
| static bool | exists [get] |
Services
provides access to global services by interface, e.g. Services.Require<MyServiceInterface>().
Services can be registered explicitly but often the most convenient way is via attribute, e.g.
public interface MyApi {}
/// attribute tells service system to create an instance of MyApiImpl and register it as MyApi [RegisterService(typeof(MyApi)] public class MyApiImpl : MonoBehaviour, MyApi {}
///somewhere Services.Init(() => { Services.Require<MyApi>(); // returns singleton MyApiImpl });
|
inlinestatic |
Perform an action on a service ONLY if the service is available, i.e. if the application is quitting, ignore and avoid errors
| ServiceType | : | class |
|
inlinestatic |
Default init op. Handy especially for integration tests
| callback | (optional) callback invoked when all services have completed init (services that implement AsyncInitService may not init immediately) |
|
inlinestatic |
Locate a service by registration interface.
|
inlinestatic |
Locate a service by registration interface.
| ServiceType | The 1st type parameter. |
| ServiceType | : | class |
|
inlinestatic |
Locate a service by registration interface and throw an exception if it cannot be located.
| ServiceType | : | class |
| const int BeatThat.Service.Services.REGISTRATION_GROUP_DEFAULT = 0 |
Registration groups provide a way to provide control over the order in which registered services are instantiated and receive their InitService message (for services that implemenent AutoInitService).
|
get |
True if Service initialization has completed (at least one time)


{# Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. #} {% extends "airflow/dag.html" %} {% block title %}Airflow - DAGs{% endblock %} {% block body %} {{ super() }} {% if (is_editable and code) %}
{% else %}{{ v }}{% endfor %} {% endif %} {% if html_dict %} {% for k, v in html_dict.items() %}


Things I've Learned
Internet Basics
- HTTP Requests
- IP Address
- Servers
HTML
- Stands for Hyper Text Markup Language
- Lots of tags
- Boilerplate
- Doctype
- HTML
- Head
- Title
- Body
- Headings
- Paragraph
- em
- strong
Here is an image
Access to Google here
Click here
GO TO FIRST PAGE


Follow these steps to open closed support tickets:
- Log in to the Algorithm Lab.
- In the left navigation bar, click Organization > Support History.
- On the Support History page, click Closed.
- Click the ticket you want to open.
- (Optional) Enter a reason for opening the ticket.
- Click Open Ticket and Send.
The ticket is labeled as Open.


Source code
Copyright © 2016-2021 mastercoms
Valve, the Valve logo, Steam, the Steam logo, Team Fortress, the Team Fortress logo, Source, the Source logo are trademarks and/or registered trademarks of Valve Corporation in the U.S. and/or other countries.
mastercomfig is not sponsored, endorsed, licensed by, or affiliated with Valve Corporation.


Fallback to right: The positioning of the popover follows a fallback strategy to make sure that the component is displayed correctly in
the most common situations.
Fallback to left : The positioning of the popover follows a fallback strategy to make sure that the component is displayed correctly in
the most common situations.


This is plugin for Acorn - a tiny, fast JavaScript parser, written completely in JavaScript.
For more information, check out the proposal repo.
You can use this module directly in order to get Acorn instance with plugin installed:
js
import acorn from 'acorn-dynamic-import';
// or...
const acorn = require('acorn-dynamic-import').default;
Or you can use inject.js
for injecting plugin into your own version of Acorn like this:
js
const acorn = require('acorn-dynamic-import/lib/inject').default(require('./custom-acorn'));
Then, use the plugins
option whenever you need to support dynamicImport while parsing:
js
const ast = acorn.parse(code, {
plugins: { dynamicImport: true }
});
This plugin is issued under the MIT license.


Keezer
Status
Configuration
Network
SSID
Password
Host Name
Save Network
Cancel
Restart
Keezer Config
Target Temperature (F)
Threshold
Minimum On Time (Minutes)
Minimum Off Time (Minutes)
Minimum Temperature (F)
Maximum Temperature (F)
Save Config
Cancel


|
LEGALLY BLONDE SHINES IN THE CLASSROOM, FALLS FLAT
IN THE COURTROOM
By Michael Asimow
Legally Blonde is a pretty good law school comedy
and a pretty bad courtroom comedy. As summer movie fare goes,
that isn't such a bad average.
Blond bombshell Elle Woods
(the Elle comes from Amanda Chang's clever book title--One Elle)
gets into Harvard Law School on the strength of a smashing 179
LSAT and a 4.0 in fashion merchandising-- plus a dazzling video
(submitted in lieu of the usual essay). She's at Harvard to chase
her former boyfriend and despite the advice of her parents that
lawyers are ugly, boring and serious. She is definitely none
of the above.
In
what I thought was a hilarious spoof of an Admissions Committee
meeting, the dazzled old fuds on the committee admit Elle in
the diversity category. Then follows an amusing culture clash:
Elle, a Bel Air airhead (who lived across the street from Aaron
Spelling) runs headlong into Cambridge snobbery.  Professor Callahan, apparently
a practicing lawyer in a big firm, is a full professor teaching
first year criminal law at Harvard. He enlists students as free
help on his cases and he sexually harasses Elle.
The law school class scenes
perpetuate the notion that what happens in the classroom is a
bunch of pointless bullying. We learned this from Paper Chase
and it was reinforced in other law school movies--particularly
Just Cause and Soul Man (a thoroughly tasteless
law school comedy which is also pretty funny). In Elle's first
class, she isn't prepared since she didn't know there was an
assignment--and the professor throws her out of the classroom.
This scene was reminiscent of Paper Chase, in which the
same thing happens to Hart who is then abused pitilessly by Kingsfield.
Actually, a better law school teaching scene occurs in The
Pelican Brief--in which a teacher and student engage in a
reasonably productive interchange about an issue of legal policy;
it is spoiled, however, in the next scene when we find teacher
and student in bed together.
The fact is that law school
classes no longer consist of sadistic professors humiliating
helpless students or asking them moronic questions that have
no possible educational utility. Instead, what goes on, more
often than not, is real learning. Dedicated teachers are transmitting
vital analytical skills and debating interesting policy issues
with highly engaged students. True, the classes are too big and
the Socratic method is inefficient, and the intensity level drops
way off after the first year, but the movies never scratch the
surface of what law school is really about or address the real
problems of contemporary legal education. Still, I thought that
the various scenes involving Elle's socialization into law school
ways were pretty funny. Reese Witherspoon carries off the part
with great flair and I, for one, enjoyed it.
But I didn't much like the
courtroom scenes. The bar for courtroom comedies is quite high--My
Cousin Vinny, Bananas, Adam's
Rib, Roxie
Hart, or Mr. Deeds Goes to Town set the standard.
These classic pictures are very funny and they satirize the courtroom
process and the law to great effect. By comparison, Legally
Blonde is strictly bush league. Comedy needs to have a target,
to be about something--it works best when it is most destructive.
The film slices and dices law school and law students with gusto.
Not so in the courtroom scenes.
Here's where Elle joins Callahan's
team of lawyers and law students to work on a murder case. The
client is accused of killing her much older and very wealthy
husband. This part is carelessly written and plotted and the
airhead humor wears thin. At best, it is a pallid takeoff on
the tiresome old Perry Mason routine of finding the killer in
the courtroom.
Elle is the only one of the
legal team to establish rapport with the client (who is her former
aerobics teacher)--that, at least, makes a valid point. She puts
her knowledge of fashion to work by figuring out that a witness
who testifies to an affair with the defendant is really gay because
he knows shoe designers. Not bad.
The client then fires Callahan
and hires Elle, a first year student to head the legal team.
They cite the right rule--Massachusetts Rule of Court 3.03--but
that rule emphatically does not permit a first year student to
represent a wealthy client in a major criminal case (even under
the supervision of a practicing lawyer). Instead, the rule applies
only to senior law students who have taken a course in evidence
or trial practice and are representing the state or an indigent
client. Needless to say, Elle doesn't fit any part of the rule
and is totally clueless in the courtroom. Nevertheless, by incredible
luck she gets the true killer to confess.
So the film is an engaging
bit of piffle with some worthwhile things to say about law school
and eastern snobs, but no good ideas when it comes to the courtroom.
Posted: August 31, 2001
|


Documentation / Mapping / JPA / @ManyToOne
Relationship Pair
We can think of @ManyToOne
as the "one"
side of a
@OneToMany/@ManyToOne relationship pair.
As such it is the side that maps to the foreign key column(s).
@Entity
public class Contact ...
// maps to "customer_id" foreign key column
@ManyToOne
Customer customer;
...
If the foreign key column does not match the naming convention based on the property name + "_id" then we need to define a @JoinColumn.
@Entity
public class Contact ...
// explicit @JoinColumn of "cust_id" as the foreign key column
@ManyToOne @JoinColumn("cust_id")
Customer customer;
...
optional=false
If the underlying foreign key should have a NOT NULL constraint then we specify optional=false
.
@Entity
public class Contact ...
// not null constraint as optional=false
@ManyToOne(optional=false)
Customer customer;
...
@NotNull
We can use javax validation @NotNull
instead of optional=false
to define
that the underlying foreign key column has a NOT NULL constraint.
@Entity
public class Contact ...
// @NotNull same as optional=false
@NotNull @ManyToOne
Customer customer;
...


| Vehicle Owner | Vehicle Number | Owner's Driver ID | Current Driver's ID |
|---|
Authenticate
Register Vehicle Details
Add Authorized Driver
Enter token and Authorized Driver ID
Update Current Driver
Enter Token and Current Driver's ID (Must be an authorized driver)
Delete Authorized Driver
Enter token and Authorized Driver ID
Check for Unauthorized Access


- saveGame(String) - Method in class controller.Controller
-
Save the game to our saves directory with the given name
- saveLocation - Static variable in class controller.Controller
-
- sel - Variable in class view.LevelBuilder
-
- select() - Method in class view.LevelBuilder
-
Create a new select view
- selections - Variable in class view.View
-
- SelectView - Class in view
-
- SelectView(MainMenu) - Constructor for class view.SelectView
-
Create the application.
- serialVersionUID - Static variable in class controller.GameCanvas
-
- serialVersionUID - Static variable in class view.View
-
- setDim() - Method in class view.LevelBuilder
-
- setDistance(int) - Method in class model.Plant
-
Set the index location of the plant
- setHighlight(boolean) - Method in class controller.GameCanvas
-
Set whether the current block should be highlighted
- setLane(Lane) - Method in class model.Entity
-
Change the entities lane
- setLevel(Level) - Method in class view.View
-
- setLocation(Spot) - Method in class model.Plant
-
Set the plant's current spot
- setPosition(double) - Method in class model.Zombie
-
Set the position of the zombie
- setReferences() - Method in class model.Lane
-
Reset the lanes cyclical references
- setReferences() - Method in class model.Level
-
After reloading the level, we lose some cyclical references within plants/zombies, this resets them
- setReferences(Lane) - Method in class model.Spot
-
Reset lost cyclical references upon reload
- setSpriteSize(int, int) - Method in class model.BasicZombie
-
- setSpriteSize(int, int) - Method in class model.BucketZombie
-
- setSpriteSize(int, int) - Method in class model.Chomper
-
- setSpriteSize(int, int) - Method in class model.Entity
-
Method to be initialized within each subclass to set the size of the sprite, this should only be run once and
- setSpriteSize(int, int) - Method in class model.ImpZombie
-
- setSpriteSize(int, int) - Method in class model.PeaProjectile
-
- setSpriteSize(int, int) - Method in class model.Peashooter
-
- setSpriteSize(int, int) - Method in class model.Sunflower
-
- setSpriteSize(int, int) - Method in class model.Torchwood
-
- setSpriteSize(int, int) - Method in class model.Wallnut
-
- setTurn(int) - Method in class model.Level
-
Set the current turn
- spawnZombie() - Method in class model.Lane
-
Spawn a zombie in the lane
- spawnZombies() - Method in class model.Level
-
Check the levelData and spawn any zombies intended for the given turn
- Spot - Class in model
-
The Spot class, used to split lanes
- Spot(boolean) - Constructor for class model.Spot
-
Construct a spot
- spots - Variable in class model.Lane
-
- sprite - Static variable in class model.BasicZombie
-
- sprite - Static variable in class model.BucketZombie
-
- sprite - Static variable in class model.Chomper
-
- sprite - Static variable in class model.ImpZombie
-
- sprite - Static variable in class model.PeaProjectile
-
- sprite - Static variable in class model.Peashooter
-
- sprite - Static variable in class model.Sunflower
-
- sprite - Static variable in class model.Torchwood
-
- sprite - Static variable in class model.Wallnut
-
- startGame() - Method in class controller.MainMenuController
-
Start a game using our default level
- startGame(String) - Method in class view.MainMenu
-
- status - Variable in class model.Entity
-
- Status - Enum in model
-
An Enumeration used to keep track of what status effects Entities currently have, Frozen has yet to be implemented
- Status() - Constructor for enum model.Status
-
- statusDelay - Variable in class model.Entity
-
- subtypeToLabel - Variable in class view.RuntimeTypeAdapterFactory
-
- Sunflower - Class in model
-
The Sunflower class, contains information about the Peashooter plant
- Sunflower() - Constructor for class model.Sunflower
-
Creates a sunflower with default values
- sunflower - Variable in class view.LevelBuilder
-


CONTACT US
Infidata Technologies
#2341,16th B Cross, Above Wizz Photo Studio,
Opp.to City Bank ATM Newtown,
Yelahanka, Bengaluru, Karnataka 560064, India


--- title: Things to do todos: - First todo - Another todo item - A third todo item images: - 'http://wallpaper.pickywallpapers.com/1920x1080/hugh-laurie-classic-portrait.jpg' - 'http://15563392photo2015.blogs.lincoln.ac.uk/files/2016/03/gallery-portraits-of-strangers-18.jpg' - 'https://www.npg.org.uk/homepage2017/512_PPP17.jpg' - 'https://www.shutterbug.com/images/17/promosa111217.png' ---


AssociationRuleGeneratorModule()
A module, which allows to generate association rules from frequent item sets. An association rule specifies, that if certain items occur in a transaction, other items do also occur with a certain probability. Among all possible association rules, which can be generated from the frequent item sets, only those, whose "interestingly" according to the confidence metric is greater or equal than a specific threshold, are taken into account.
In order to prune the search for association rules, the algorithm exploits the anti-monotonicity property of the confidence metric, which states, that the confidence of the rule A,B -> C is an upper bound to the confidence of a rule A -> B,C. Consequently, the algorithm starts by generating rules, which contain a single item in there heads. Based on those rules, which reach the minimum confidence, additional rules are created by moving items from their bodies to the heads. For each rule said process is continued until the minimum threshold cannot be reached anymore.
Parameters
Author
Michael Rapp
Since
1.0.0


{{ _("Game Information") }}
{{ _("Welcome to the computer war game where security professionals can practice and learn.") }}
{{ _("Each player will target challenges of varying difficulty and sophistication, attempting to collect flags and win glory. Good luck!") }}
{% if options.show_organizor_help %}
{{ _("If you have any questions or need help do not hestitate to ask one of the organizers.") }}
{% end %}
{{ _("Rules of Engagement: Do not attack the game scoreboard platform. Do not change the passwords of existing accounts in the network unless specified by a game objective.") }}
{{ _("Do not delete or modify community flags unless instructed. Do not attack other players unless outlined in the game goals.") }}
{% if options.dynamic_flag_value %}
{% if options.dynamic_flag_type == "decay_future" %}
{{ _("This game is set up to use dynamic scoring based on speed, meaning as other players capture the flags, the future value of those flags will decrease. So grab them fast or lose out!") }}
{% else %}
{{ _("This game is set up to use dynamic scoring based on difficulty, meaning as other players capture the flags, the overall value of those flags will decrease and potentially reduce your score.") }}
{% end %}
{% end %}
{% if options.penalize_flag_value %}
{{ _("Failure has a cost. Be careful as penalties are applied when incorrect answers are submitted.") }}
{{ _("The deduction is") }} {{ options.flag_penalty_cost }}% {{ _("of the flag's value. It will start on the") }} {% set n = options.flag_start_penalty %}{{str(n)+("th" if 4<=n%100<=20 else {1:"st",2:"nd",3:"rd"}.get(n%10, "th"))}}
{{ _("attempt and continue until the") }} {% set n = options.flag_stop_penalty - 1 %}{{str(n)+("th" if 4<=n%100<=20 else {1:"st",2:"nd",3:"rd"}.get(n%10, "th"))}}. {{ _("No further penalty thereafter.") }}
{% end %}
{% if options.banking %}
{{ _("It's about the money and it's time to cash in on those skills! This game is set up to use a banking system, so waste no time to build your fortune and buy what you need to win.") }}
{% end %}
{% if options.use_black_market %}
{% if options.use_black_market %}
{{ _("The black market is open and you know a guy. The following items are available:") }}
{% set market_items = MarketItem.all() %}
{% if market_items %}
{% for index, item in enumerate(market_items) %}
{% if item.name in options.allowed_market_items %}
-
{{ _(item.name) }}: {{ _(item.description) }}
{% end %}
{% end %}
{% end %}
{% end %}
{% end %}
{% if options.use_bots %}
{{ _("Time to create a botnet. By uploading a small bot program to target machines, you can be periodically rewarded for each bot in your botnet; the larger the botnet the larger the reward.") }}
{% end %}


{% extends "home/base.html" %} {% load static %} {% load humanize %} {% block content %}
GPCRdb contains data, diagrams and web tools for G protein-coupled receptors (GPCRs). Users can browse all GPCR crystal structures and the largest collections of receptor mutants. Diagrams can be produced and downloaded to illustrate receptor residues (snake-plot and helix box diagrams) and relationships (phylogenetic trees). Reference (crystal) structure-based sequence alignments take into account helix bulges and constrictions, display statistics of amino acid conservation and have been assigned generic residue numbering for equivalent residues in different receptors. For an overview read the GPCRdb poster, articles or documentation.
Legacy GPCRdb database(Radboudumc Nijmegen), GuideToPharmacology (IUPHAR), tinyGRAP (Tromsø, Norway), GPCR-OKB (Weill Medical College), NaVa (Leiden Uni.) and Swiss-Prot.
Supported by GLISTEN (COST Action CM1207)
3D-e-Chem (VU University Amsterdam), GPCRM (Uni. Warsaw), scPDB (Uni. Strasbourg), GPCR-SSFE (Leibniz-Institut, Berlin), GoMoDo (Uni. Verona), GPCR-ModSim (Uppsala Uni.).


Here is avatar
Spin the wheel of RamdonNess
Here's his visual config
{{prettyprint(visualstate)}}
Here's his data config
{{prettyprint(datastate)}}


--- layout: page category: spec title: "Remote Playback API" ---
| Current Status: | Candidate Recommendation (CR) |
|---|---|
| Canonical URI: |
http://www.w3.org/TR/remote-playback
|
| Abstract: | This specification defines an API extending the HTMLMediaElement that enables controlling remote playback of media from a web page. |
Remote Playback APIUpdates:


Refresh if the page doesn't load! Categories
To minimise anxiety levels, the exams timetable is kept here instead Collaborate with us here


There was no significant difference in the soleus muscle power output–cycle frequency relationship between muscle removed from 13-lined ground squirrel in the summer (red) compared with that removed from those that had undergone 3 months of torpor in winter (blue). Data represent mean ± sem. Based on data presented in James et al. (2013).


Microsoft Teams has hit 20 million daily active users, nearly 8 million more than Slack!
by PradeepBack in July this year, Microsoft announced that Teams has reached 13 million daily active users. Today, Microsoft announced that Teams has reached 20 million active users, a 7 million increase in just about 4 months.
For instance, last month Teams customers participated in more than 27 million voice or video meetings and performed over 220 million open, edit, or download actions on files stored in Teams.
In comparison, Slack last month announced that it as 12 million active users. With this milestone, Microsoft Teams now has almost double the number of active users when compared to Slack. Slack now claims that engagement level of its service is much better when compared to Teams. Slack offered the following stats regarding its service.
- Among Slack’s paid customers, users spend more than 9 hours a day connected to their service, including spending about 90 minutes a day actively using Slack
- Slack 5+ billion actions weekly on average during a typical work week – that’s customers doing things like writing messages, reading messages, uploading and commenting on files, performing searches and interacting with an app.
- In a survey of U.S.-based users, 87% said that Slack improved communication and collaboration inside their organization.
At Ignite conference last month, Microsoft announced several new updates coming to Teams service. Some of the new features announced include Private channels, Multiwindow capabilities, Messaging extensions, Tasks and Outlook integration. You can read about it in detail here.
Source: Microsoft


Header of the Page goes here
Organization Notifications
This page allows users to send your location for help


Runs entered Apache Ant tasks as a build file with only one target, untill you write code into the "Extended script
source", but the target created from this code will always be the default target of the created build file.
The script will run with WORKSPACE as the current directory. Build will be considered as failure if any Ant task
fails. You can use Ant-Contrib tasks
(if it is enabled in global configuration). You need to use namespace "antcontrib" (example: "<antcontrib:if>").


Braden started his master reserach on electrified roadways. Kelli suggested he illustrate his Thesis acknowlegements in the shape of the car.
Braden presented at ideacity in Toronto, CA on electrified roadways. Check out is presentation here.
The time finally came for Braden to format his acknologements in the shape of a car. However, he quickly learned that there are no good tools online to create shapes from text. In the end, he had to manually edit the text in a word processor to create the final creation. It was frustrating to edit, but it worked.
Based on the frustrations Braden experienced, he decided it was his duty to bring this type of application to the world wide web. His creation is the website you see today.
Inspiration
Lead Developer


FORBIDDEN
You do not have permission to view this directory or page using the credentials that you supplied.


Shriram Asset Standalone September 2019 Net Sales at Rs 0.10 crore, down 63.41% Y-o-Y
Reported Standalone quarterly numbers for Shriram Asset Management Company are:
Net Sales at Rs 0.10 crore in September 2019 down 63.41% from Rs. 0.28 crore in September 2018.
Quarterly Net Loss at Rs. 0.57 crore in September 2019 up 38.62% from Rs. 0.94 crore in September 2018.
EBITDA stands negative at Rs. 0.54 crore in September 2019 up 41.94% from Rs. 0.93 crore in September 2018.
Shriram Asset shares closed at 126.50 on October 31, 2019 (BSE) and has given -24.70% returns over the last 6 months and 2.10% over the last 12 months.
| Shriram Asset Management Company | |
| Standalone Quarterly Results | in Rs. Cr. |
| Sep'19 | Jun'19 | Sep'18 | |
| Net Sales/Income from operations | 0.10 | 0.08 | 0.28 |
| Other Operating Income | -- | -- | -- |
| Total Income From Operations | 0.10 | 0.08 | 0.28 |
| EXPENDITURE | |||
| Consumption of Raw Materials | -- | -- | -- |
| Purchase of Traded Goods | -- | -- | -- |
| Increase/Decrease in Stocks | -- | -- | -- |
| Power & Fuel | -- | -- | -- |
| Employees Cost | 0.94 | 1.08 | 0.77 |
| Depreciation | 0.03 | 0.03 | 0.01 |
| Excise Duty | -- | -- | -- |
| Admin. And Selling Expenses | -- | -- | -- |
| R & D Expenses | -- | -- | -- |
| Provisions And Contingencies | -- | -- | -- |
| Exp. Capitalised | -- | -- | -- |
| Other Expenses | 0.51 | 0.65 | 1.95 |
| P/L Before Other Inc. , Int., Excpt. Items & Tax | -1.38 | -1.68 | -2.44 |
| Other Income | 0.81 | 0.95 | 1.50 |
| P/L Before Int., Excpt. Items & Tax | -0.57 | -0.74 | -0.94 |
| Interest | -- | -- | -- |
| P/L Before Exceptional Items & Tax | -0.57 | -0.74 | -0.94 |
| Exceptional Items | -- | -- | -- |
| P/L Before Tax | -0.57 | -0.74 | -0.94 |
| Tax | -- | -- | -- |
| P/L After Tax from Ordinary Activities | -0.57 | -0.74 | -0.94 |
| Prior Year Adjustments | -- | -- | -- |
| Extra Ordinary Items | -- | -- | -- |
| Net Profit/(Loss) For the Period | -0.57 | -0.74 | -0.94 |
| Equity Share Capital | 6.00 | 6.00 | 6.00 |
| Reserves Excluding Revaluation Reserves | -- | -- | -- |
| Equity Dividend Rate (%) | -- | -- | -- |
| EPS Before Extra Ordinary | |||
| Basic EPS | -0.96 | -1.23 | -1.57 |
| Diluted EPS | -0.96 | -1.23 | -1.57 |
| EPS After Extra Ordinary | |||
| Basic EPS | -0.96 | -1.23 | -1.57 |
| Diluted EPS | -0.96 | -1.23 | -1.57 |
| Public Share Holding | |||
| No Of Shares (Crores) | -- | -- | -- |
| Share Holding (%) | -- | -- | -- |
| Promoters and Promoter Group Shareholding | |||
| a) Pledged/Encumbered | |||
| - Number of shares (Crores) | -- | -- | -- |
| - Per. of shares (as a % of the total sh. of prom. and promoter group) | -- | -- | -- |
| - Per. of shares (as a % of the total Share Cap. of the company) | -- | -- | -- |
| b) Non-encumbered | |||
| - Number of shares (Crores) | -- | -- | -- |
| - Per. of shares (as a % of the total sh. of prom. and promoter group) | -- | -- | -- |
| - Per. of shares (as a % of the total Share Cap. of the company) | -- | -- | -- |
| Source : Dion Global Solutions Limited |


Photography is an expression of emotion, touch, and love. What you've recorded on film will last a lifetime.
It recalls the little details long after you've forgotten everything else.
The list of my favourite songs constitute:
Bien-Aimé Baraza, Willis Chimano, and Savara Mudigi established the Kenyan afro-pop band Sauti Sol in Nairobi, Kenya in 2005. Originally an a cappella ensemble, guitarist Polycarp Otieno joined before the name Sauti was chosen.
Michael Joseph Jackson was an American singer, composer, and dancer who lived from August 29, 1958 until June 25, 2009. He is known as the King of Pop and is considered one of the most influential cultural personalities of the twentieth century. more info
Robert Nesta Marley OM was a musician and vocalist from Jamaica. His musical career was defined by blending elements of reggae, ska, and rocksteady, as well as his distinctive voice and compositional approach. He is considered one of the pioneers of reggae. more info
H-Art the Band is a Nairobi-based musical group. Mordecai Kimeu, Kenneth Muya, and Wachira Gatama make up the band. In 2012, the trio met during a Kenya National Theatre audition for a cancer-awareness show. In 2013, they created H-Art the Band after performing together for the first time at Dass Ethiopian restaurant.
Cedric Kadenyi, well known by his stage title Cedo as a Director and Producer for Pacho Group Limited in Nairobi.


The R package for person-oriented analysis (prcr) is updated (it’s now version 0.1.4).
In particular, it was not clear how to use the profile assignments (i.e., what cluster each response is in) in subsequent analyses. So, the update now returns two different representations of the profile assignments, or which profile is associated with each observation: a) the original “data.frame” with the profile assignment added in one variable and b) the original “data.frame” with the profile assignments added in dummy-coded form (i.e., one variable for each profile which is “1” when the observation is associated with the profile and “0” otherwise).
This required changing how the variables used to create the profiles are specified. While before every variable in the “data.frame” was used, so subsetting the “data.frame” before using it, now the whole “data.frame” is the first argument to “create_profiles()”, and variable used to create the profiles are named (unquoted).
Here’s an example with built-in data in which the variables “df”, “disp”, and “hp” are selected:
df <- mtcars
two_profile_solution <- create_profiles(df, disp, hp, wt, n_profiles = 2, to_center = T)
Information about the output (it’s saved to “two_profile_solution”, but it can be any name) can still be viewed with the following methods:
summary(two_profile_solution)
plot(two_profile_solution)
The two representations of the profile assignments can then be used via the “.data” and “data_with_dummy_codes” slots in the output, the first with profile assignment in one variable, the second with the profile assignments in dummy-coded form:
two_profile_solution$.data
two_profile_solution$data_with_dummy_codes
There is also now a function to compare R2 values, here using the same variables as above (“mpg”, “hp”, and “qsec”), comparing 2 to 4 profile solutions:
plot_r_squared(df, mpg, wt, hp, qsec, to_center = TRUE, lower_bound = 2, upper_bound = 4)
Sometimes a “data.frame” is more useful, so the optional argument “r_squared_table” can be set to “TRUE” to return one instead:
plot_r_squared(df, mpg, wt, hp, qsec, to_center = TRUE, lower_bound = 2, upper_bound = 4, r_squared_table = TRUE)
The update can be installed using install.packages("prcr")
in R.


Type library Revision Current Public Release (2013.2076) Keywords plugin, sponsorpay, offerwall, brandengage, monetization Sample code SponsorPay sample v.1.2.0 See also SponsorPay dev portal Availability Starter, Basic, Pro, Enterprise
The SponsorPay Corona plugin lets you access features provided by the native SponsorPay SDK from your Corona application.
The following features are available:
The recommended flow for the SDK is depicted below.
Both publishers and advertisers need to start the SDK.
At this point, you can either launch the Offer Wall or request mBE offers.
When a video (mBE) offer is available, it is presented to they user only after you choose to. You must call sponsorpay.startMBEEngagement() to show the video engagement to the user, as opposed to sponsorpay.launchOfferWall() that will start the Offer Wall right away.
Note that you may call every other SponsorPay method before showing the video (requesting mBE offers and starting the Offer Wall before showing the video enagement is toally valid).
If you don't support any custom action in your application (e.g. "Reach level 2", "collect 300 coins", …), you're good to go.
Otherwise, you'll need to call sponsorpay.reportActionCompletion() with the corerct actionId
previously defined in the Advertiser Control Panel
To use SponsorPay services, please sign up for an account
local sponsorpay = require "plugin.sponsorpay"
When you build using the Corona Simulator, the server automatically takes care of integrating the plugin into your project.
All you need to do is add an entry into a plugins
table of your build.settings
. The following is an example of a minimal build.settings
file:
settings =
{
plugins =
{
-- key is the name passed to Lua's 'require()'
["plugin.sponsorpay"] =
{
-- required
publisherId = "com.sponsorpay",
},
},
}
Start here.
You can access sample code here.


--- title: FLIR_video_stream keywords: fastai sidebar: home_sidebar summary: "API details." ---
class
FLIRVideoStream
FLIRVideoStream(transform=None, queue_size=10)
transform
None
queue_size
10
Create threaded USB3 video stream for 1 or more FLIR USB3 cameras, with max queue size Pass optional transform code to alter the image before queueing
FLIRVideoStream.set_cam_mode_continuous
FLIRVideoStream.set_cam_mode_continuous(i, cam)
i
cam
FLIRVideoStream.start
FLIRVideoStream.start()
For all cameras, Initialise and set camera mode to continuous. and begin acquisisition
FLIRVideoStream.more
FLIRVideoStream.more()
Return True if there are still frames in the queue. If stream is not stopped, try to wait a moment
FLIRVideoStream.read
FLIRVideoStream.read()
return next frame in the queue
FLIRVideoStream.queue_size
FLIRVideoStream.queue_size()
Return the queue size, ie number of frames
FLIRVideoStream.stop
FLIRVideoStream.stop()
indicate that the thread should be stopped


canvasLabel - tkpiechart canvas label class
The canvasLabel class brings some Tk label widget functionality to the canvas text item, such as a background and a border.
The canvasLabel is built with a bullet rectangle on the left side of the text. The relief changes according to the select state, with a traditionally sunken relief when selected.
The label has a specific tag, which can be used to retrieve the coordinates of the object or move it, thanks to the canvas facilities.
Creates a canvasLabel object in the specified Tk canvas. The canvasLabel object identifier is returned (referred to as canvasLabelObject in this document).
Configures a canvasLabel object or returns all the options with their current values if no options are passed as parameters.
Returns an option value for the specified canvasLabel object.
Deletes the specified canvasLabel object.
The labeler has the following specific tag (see the canvas manual page ITEM IDS AND TAGS section for more information):
canvasLabel(canvasLabelObject)
This document, and the package it describes, will undoubtedly contain bugs and other problems. Please report such in the category tkpiechart of the Tklib Trackers. Please also report any ideas for enhancements you may have for either package and/or documentation.
Copyright © 1995-2004 Jean-Luc Fontaine <jfontain@free.fr>


Abiodun visits rainstorms victims, promises succour
by Temisan AmoyeJames Ogunnaike, Abeokuta
The Ogun State Governor, Prince Dapo Abiodun has visited the people of Ibefun in Odogbolu Local Government Area, who were affected by a rainstorm, with a promised that his administration would respond adequately to any form of disaster in any part of the State to ensure that those affected do not suffer unnecessarily.
Abiodun who made the promise while inspecting damaged buildings and public facilities affected by the recent rainstorm in the area sympathized with people and thanked God that no life was lost.
ALSO READ: NECO : Ogun cancels November sanitation exercise
“We are here to see the level of damages caused by yesterday’s rainstorm. I sympathize with you and I thank God that no life was lost. I want to assure you that we will stand by you at these trying times.
The governor said government officials from the State Emergency Management Agency would visit the area to ascertain the number of houses and other facilities affected and the extent of the damage for prompt actions to be taken.
He added that his presence was to assure the people that government would not forgot them.
“We will send government officials to come and assess the extent of damage so that we can know how to go about assisting those that were affected. Please form a small committee to liaise with those that we will send so that we can know what to do to assist those affected”, he concluded.
ALSO READ: Britain will leave EU by January 31 – Boris Johnson
A community leader, Hon. Ezekiel Agbaoye, while addressing the governor, said the havoc was caused by Wednesday’s torrential rainstorm that pulled down about 100 houses. The storm, he said blew away roofs of buildings and uprooted electric poles.
Also speaking, Mrs. Elizabeth Sanni pleaded with the State government to help in rehabilitating roads in the area as this would help moving farm produce to the market.


The checkbox
class is a simple wrapper around the <input type="checkbox">
HTML element. It is intentionally not styled, to preserve cross-browser compatibility and the user experience.
--- title: Checkbox layout: documentation doc-tab: form doc-subtab: checkbox breadcrumb: - home - documentation - form - form-checkbox meta: colors: false sizes: false variables: false --- {% capture checkbox_example %} {% endcapture %} {% capture checkbox_link_example %} {% endcapture %} {% capture checkbox_disabled_example %} {% endcapture %}
The checkbox
class is a simple wrapper around the <input type="checkbox">
HTML element. It is intentionally not styled, to preserve cross-browser compatibility and the user experience.
You can add links to your checkbox, or even disable it.


Depending on what types of deuteration you chose and how you answered the form, a different number of attachments are required to upload before you can generate a PDF.
Make sure that all required attachments have been uploaded and that all required questions in the form have been answered.


157. Patience
time limit per test: 2 sec.
memory limit per test: 65536
KB
input: standard input
output: standard
output
Sasha enjoys playing patiences. Last days he played one very
interesting patience on a rectangular grid 14x4. The rules of this patience are
very simple. He takes a standard 52-card deck (without jokers), extracts all
aces and lays them in the first column of the grid. Cell (1, 1) contains ace of
diamonds, (1, 2) - ace of hearts, (1, 3) - ace of clubs and (1, 4) contains ace
of spades. Then Sasha shuffles the rest of the deck and lays remaining cards to
the grid row by row leaving column 2 empty, so all the columns from 3 to 14 are
covered by cards.
After having laid all cards in such a manner, he is
allowed to make moves. The move is determined by selection of an empty cell.
This empty cell is to be covered by the card defined by the contents of the left
adjacent cell. The covering card must have the same suit and the next higher
value (order of values is: Ace 2 3 4 5 6 7 8 9 10 Jack Queen King). For example,
if the cell (6, 3) contains the Queen of Spades, and the cell (7, 3) is empty,
selecting cell (7, 3) will move the King of Spades to (7, 3) (and leave empty
the cell where the King of Spades was before the move). If the left neighbour of
the empty cell contains a King or is empty, the move selecting this empty cell
is disabled.
The goal is to make each row ordered (i.e. columns from 1 to 13
must contain cards from Ace to King in the order described above, and the column
14 must be empty). If all empty cells follow Kings or empty cells, and the cards
are not ordered, Sasha is declared a loser (in the classic version of this
patience, the rest of the deck may be shuffled two times again leaving ordered
cards on their positions, however Sasha is very experienced and often wins
without additional shuffling).
Now Sasha wants to know some things about
this patience. Imagine the position where three suits are already ordered, and
the remaining suit is ordered partially. It is known that there are less than n
highest cards that are not ordered. So only n rightmost columns may contain
unordered cards. For example, if n = 3, columns from 1 to 11 are ordered, and
columns from 12 to 14 contain Queen, King and empty cell in an arbitrary order.
Sasha wants to determine how many of such positions for a given n have a winning
strategy. For example, if n = 3, there is exactly one position that does not
allow him to win: ... [King] [empty] [Queen]. All other positions have a winning
strategy:
1. ... [Queen] [King] [empty] is already a goal
position
2. ... [Queen] [empty] [King] allows to move King
adjacent to the Queen.
3. ... [empty] [Queen] [King] becomes
previous position after moving the Queen after the Jack.
4. ...
[empty] [King] [Queen] becomes goal position by moving the Queen after the Jack.
5. ... [King] [Queen] [empty] becomes position 3 after moving
the King to the empty cell.
So for n = 3 the answer is 5.
Write a
program that will get the answer for an arbitrary n from 1 to 13.
Input
Input file consists of only one integer number n.
Output
Output the number of positions with less than n highest cards
not ordered in the remaining suit that have a winning strategy.
Sample test(s)
Input
Sample input #1
3
Sample input #2
4
Output
Sample output #1
5
Sample output #2
14
Note
You can download pdf version of this task
here
| Author: |
Andrew Lopatin |
| Resource: |
ACM ICPC 2002-2003 NEERC, Northern Subregion |
| Date: |
November, 2002
|
| Server time: 2004-01-13 20:07:03 |
Online Contester Team © 2002 - 2003. All
rights
reserved. | | |


--- title: Technical Deep Learning Workshop class: compressed image: /images/workshop-action-photos/image6_720.jpg imageDescription: Group work during the 6 week deep learning workshop! ---