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My Project
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A container of commands that override the decompiler's default behavior for a single function. More...
#include <override.hh>
Public Types | |
| enum | { NONE = 0, BRANCH = 1, CALL = 2, CALL_RETURN = 3, RETURN = 4 } |
| Enumeration of possible branch overrides. More... | |
Public Member Functions | |
| ~Override (void) | |
| Destructor. | |
| void | insertForceGoto (const Address &targetpc, const Address &destpc) |
| Force a specific branch instruction to be an unstructured goto. More... | |
| void | insertDeadcodeDelay (AddrSpace *spc, int4 delay) |
| Override the number of passes that are executed before dead-code elimination starts. More... | |
| bool | hasDeadcodeDelay (AddrSpace *spc) const |
| Check if a delay override is already installed for an address space. More... | |
| void | insertIndirectOverride (const Address &callpoint, const Address &directcall) |
| Override an indirect call turning it into a direct call. More... | |
| void | insertProtoOverride (const Address &callpoint, FuncProto *p) |
| Override the assumed function prototype at a specific call site. More... | |
| void | insertMultistageJump (const Address &addr) |
| Flag an indirect jump for multistage analysis. More... | |
| void | insertFlowOverride (const Address &addr, uint4 type) |
| Mark a branch instruction with a different flow type. More... | |
| void | applyPrototype (Funcdata &data, FuncCallSpecs &fspecs) const |
| Look for and apply a function prototype override. More... | |
| void | applyIndirect (Funcdata &data, FuncCallSpecs &fspecs) const |
| Look for and apply destination overrides of indirect calls. More... | |
| bool | queryMultistageJumptable (const Address &addr) const |
| Check for a multistage marker for a specific indirect jump. More... | |
| void | applyDeadCodeDelay (Funcdata &data) const |
| Apply any dead-code delay overrides. More... | |
| void | applyForceGoto (Funcdata &data) const |
| Push all the force-goto overrides into the function. More... | |
| bool | hasFlowOverride (void) const |
| Are there any flow overrides. | |
| uint4 | getFlowOverride (const Address &addr) const |
| Return the particular flow override at a given address. More... | |
| void | printRaw (ostream &s, Architecture *glb) const |
| Dump a description of the overrides to stream. More... | |
| void | generateOverrideMessages (vector< string > &messagelist, Architecture *glb) const |
| Create warning messages that describe current overrides. More... | |
| void | saveXml (ostream &s, Architecture *glb) const |
| Write the override commands to an XML stream. More... | |
| void | restoreXml (const Element *el, Architecture *glb) |
| Read in override commands from XML. More... | |
Static Public Member Functions | |
| static string | typeToString (uint4 tp) |
| Convert a flow override type to a string. More... | |
| static uint4 | stringToType (const string &nm) |
| Convert a string to a flow override type. More... | |
A container of commands that override the decompiler's default behavior for a single function.
Information about a particular function that can be overridden includes:
Commands exist independently of the main data-flow, control-flow, and symbol structures and survive decompilation restart. A few analyses, mid transformation, insert a new command to fix a problem that was discovered too late and then force a restart via Funcdata::setRestartPending()
The class accept new commands via the insert* methods. The decompiler applies them by calling the apply* or get* methods.
| anonymous enum |
Enumeration of possible branch overrides.
| void Override::applyDeadCodeDelay | ( | Funcdata & | data | ) | const |
Apply any dead-code delay overrides.
Look for delays of each address space and apply them to the Heritage object
| data | is the function |
| void Override::applyForceGoto | ( | Funcdata & | data | ) | const |
Push all the force-goto overrides into the function.
| data | is the function |
| void Override::applyIndirect | ( | Funcdata & | data, |
| FuncCallSpecs & | fspecs | ||
| ) | const |
Look for and apply destination overrides of indirect calls.
Given an indirect call, look for any overrides, then copy in the overriding target address of the direct call
| data | is (calling) function |
| fspecs | is a reference to the call specification |
| void Override::applyPrototype | ( | Funcdata & | data, |
| FuncCallSpecs & | fspecs | ||
| ) | const |
Look for and apply a function prototype override.
Given a call point, look for a prototype override and copy the call specification in
| data | is the (calling) function |
| fspecs | is a reference to the call specification |
| void Override::generateOverrideMessages | ( | vector< string > & | messagelist, |
| Architecture * | glb | ||
| ) | const |
Create warning messages that describe current overrides.
Message are designed to be displayed in the function header comment
| messagelist | will hold the generated list of messages |
| glb | is the Architecture |
| uint4 Override::getFlowOverride | ( | const Address & | addr | ) | const |
Return the particular flow override at a given address.
| addr | is the address of a branch instruction |
| bool Override::hasDeadcodeDelay | ( | AddrSpace * | spc | ) | const |
Check if a delay override is already installed for an address space.
| spc | is the address space |
| void Override::insertDeadcodeDelay | ( | AddrSpace * | spc, |
| int4 | delay | ||
| ) |
Override the number of passes that are executed before dead-code elimination starts.
Every address space has an assigned delay (which may be zero) before a PcodeOp involving a Varnode in that address space can be eliminated. This command allows the delay for a specific address space to be increased so that new Varnode accesses can be discovered.
| spc | is the address space to modify |
| delay | is the size of the delay (in passes) |
| void Override::insertFlowOverride | ( | const Address & | addr, |
| uint4 | type | ||
| ) |
Mark a branch instruction with a different flow type.
Change the interpretation of a BRANCH, CALL, or RETURN
| addr | is the address of the branch instruction |
| type | is the type of flow that should be forced |
Force a specific branch instruction to be an unstructured goto.
The command is specified as the address of the branch instruction and the destination address of the branch. The decompiler will automatically mark this as a unstructured, when trying to structure the control-flow
| targetpc | is the address of the branch instruction |
| destpc | is the destination address of the branch |
Override an indirect call turning it into a direct call.
The command consists of the address of the indirect call instruction and the target address of the direct address
| callpoint | is the address of the indirect call |
| directcall | is the target address of the direct call |
| void Override::insertMultistageJump | ( | const Address & | addr | ) |
Flag an indirect jump for multistage analysis.
| addr | is the address of the indirect jump |
Override the assumed function prototype at a specific call site.
The exact input and output storage locations are overridden for a specific call instruction (direct or indirect).
| callpoint | is the address of the call instruction |
| p | is the overriding function prototype |
| void Override::printRaw | ( | ostream & | s, |
| Architecture * | glb | ||
| ) | const |
Dump a description of the overrides to stream.
Give a description of each override, one per line, that is suitable for debug
| s | is the output stream |
| glb | is the Architecture |
| bool Override::queryMultistageJumptable | ( | const Address & | addr | ) | const |
Check for a multistage marker for a specific indirect jump.
Given the address of an indirect jump, look for the multistate command
| addr | is the address of the indirect jump |
| void Override::restoreXml | ( | const Element * | el, |
| Architecture * | glb | ||
| ) |
Read in override commands from XML.
| el | is the root <override> element |
| glb | is the Architecture |
| void Override::saveXml | ( | ostream & | s, |
| Architecture * | glb | ||
| ) | const |
Write the override commands to an XML stream.
All the commands are written as sub-tags of a root <override> tag.
| s | is the output stream |
| glb | is the Architecture |
|
static |
Convert a string to a flow override type.
| nm | is the override name |
|
static |
Convert a flow override type to a string.
| tp | is the override type |


Congratulations on reaching the final project of the Robotics Nanodegree!
Previously, you worked on the Semantic Segmentation lab where you built a deep learning network that locates a particular human target within an image. For this project, you will utilize what you implemented and learned from that lab and extend it to train a deep learning model that will allow a simulated quadcopter to follow around the person that it detects!
Most of the code below is similar to the lab with some minor modifications. You can start with your existing solution, and modify and improve upon it to train the best possible model for this task.
You can click on any of the following to quickly jump to that part of this notebook:
We have provided you with a starting dataset for this project. Download instructions can be found in the README for this project's repo. Alternatively, you can collect additional data of your own to improve your model. Check out the "Collecting Data" section in the Project Lesson in the Classroom for more details!
import os
import glob
import sys
import tensorflow as tf
from scipy import misc
import numpy as np
from tensorflow.contrib.keras.python import keras
from tensorflow.contrib.keras.python.keras import layers, models
from tensorflow import image
from utils import scoring_utils
from utils.separable_conv2d import SeparableConv2DKeras, BilinearUpSampling2D
from utils import data_iterator
from utils import plotting_tools
from utils import model_tools
In the Classroom, we discussed the different layers that constitute a fully convolutional network (FCN). The following code will introduce you to the functions that you need to build your semantic segmentation model.
The Encoder for your FCN will essentially require separable convolution layers, due to their advantages as explained in the classroom. The 1x1 convolution layer in the FCN, however, is a regular convolution. Implementations for both are provided below for your use. Each includes batch normalization with the ReLU activation function applied to the layers.
def separable_conv2d_batchnorm(input_layer, filters, strides=1):
output_layer = SeparableConv2DKeras(filters=filters,kernel_size=3, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
def conv2d_batchnorm(input_layer, filters, kernel_size=3, strides=1):
output_layer = layers.Conv2D(filters=filters, kernel_size=kernel_size, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
The following helper function implements the bilinear upsampling layer. Upsampling by a factor of 2 is generally recommended, but you can try out different factors as well. Upsampling is used in the decoder block of the FCN.
def bilinear_upsample(input_layer):
output_layer = BilinearUpSampling2D((2,2))(input_layer)
return output_layer
In the following cells, you will build an FCN to train a model to detect and locate the hero target within an image. The steps are:
encoder_block
decoder_block
Create an encoder block that includes a separable convolution layer using the separable_conv2d_batchnorm()
function. The filters
parameter defines the size or depth of the output layer. For example, 32 or 64.
def encoder_block(input_layer, filters, strides):
# TODO Create a separable convolution layer using the separable_conv2d_batchnorm() function.
conv_1 = separable_conv2d_batchnorm(input_layer, filters, strides)
output_layer = conv_1
return output_layer
The decoder block is comprised of three parts:
def decoder_block(small_ip_layer, large_ip_layer, filters):
# TODO Upsample the small input layer using the bilinear_upsample() function.
upsample_1 = bilinear_upsample(small_ip_layer)
# TODO Concatenate the upsampled and large input layers using layers.concatenate
concat_1 = layers.concatenate([upsample_1, large_ip_layer])
# TODO Add some number of separable convolution layers
conv_1 = separable_conv2d_batchnorm(concat_1, filters)
conv_2 = separable_conv2d_batchnorm(conv_1, filters)
conv_3 = separable_conv2d_batchnorm(conv_2, filters)
output_layer = conv_3
return output_layer
Now that you have the encoder and decoder blocks ready, go ahead and build your FCN architecture!
There are three steps:
def fcn_model(inputs, num_classes):
# TODO Add Encoder Blocks.
# Remember that with each encoder layer, the depth of your model (the number of filters) increases.
encode_1 = encoder_block(inputs, filters=32, strides=2)
encode_2 = encoder_block(encode_1, filters=64, strides=2)
encode_3 = encoder_block(encode_2, filters=128, strides=2)
encode_4 = encoder_block(encode_3, filters=256, strides=2)
encode_5 = encoder_block(encode_4, filters=512, strides=2)
# TODO Add 1x1 Convolution layer using conv2d_batchnorm().
convolute_1 = conv2d_batchnorm(encode_5, filters=1024, kernel_size=1, strides=1)
# TODO: Add the same number of Decoder Blocks as the number of Encoder Blocks
decode_1 = decoder_block(convolute_1, encode_4, filters=512)
decode_2 = decoder_block(decode_1, encode_3, filters=256)
decode_3 = decoder_block(decode_2, encode_2, filters=128)
decode_4 = decoder_block(decode_3, encode_1, filters=64)
decode_5 = decoder_block(decode_4, inputs, filters=32)
x = decode_5
# The function returns the output layer of your model. "x" is the final layer obtained from the last decoder_block()
return layers.Conv2D(num_classes, 1, activation='softmax', padding='same')(x)
The following cells will use the FCN you created and define an ouput layer based on the size of the processed image and the number of classes recognized. You will define the hyperparameters to compile and train your model.
Please Note: For this project, the helper code in data_iterator.py
will resize the copter images to 160x160x3 to speed up training.
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
image_hw = 160
image_shape = (image_hw, image_hw, 3)
inputs = layers.Input(image_shape)
num_classes = 3
# Call fcn_model()
output_layer = fcn_model(inputs, num_classes)
Define and tune your hyperparameters.
learning_rate = 0.001
batch_size = 64
num_epochs = 30
steps_per_epoch = 84
validation_steps = 50
workers = 2
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
# Define the Keras model and compile it for training
model = models.Model(inputs=inputs, outputs=output_layer)
model.compile(optimizer=keras.optimizers.Adam(learning_rate), loss='categorical_crossentropy')
# Data iterators for loading the training and validation data
train_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'train'),
image_shape=image_shape,
shift_aug=True)
val_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'validation'),
image_shape=image_shape)
logger_cb = plotting_tools.LoggerPlotter()
callbacks = [logger_cb]
model.fit_generator(train_iter,
steps_per_epoch = steps_per_epoch, # the number of batches per epoch,
epochs = num_epochs, # the number of epochs to train for,
validation_data = val_iter, # validation iterator
validation_steps = validation_steps, # the number of batches to validate on
callbacks=callbacks,
workers = workers)
#import pydot
#keras.utils.vis_utils.plot_model(model, to_file='model.png')
# Save your trained model weights
weight_file_name = 'model_weights'
model_tools.save_network(model, weight_file_name)
Now that you have your model trained and saved, you can make predictions on your validation dataset. These predictions can be compared to the mask images, which are the ground truth labels, to evaluate how well your model is doing under different conditions.
There are three different predictions available from the helper code provided:
# If you need to load a model which you previously trained you can uncomment the codeline that calls the function below.
# weight_file_name = 'model_weights'
# restored_model = model_tools.load_network(weight_file_name)
The following cell will write predictions to files and return paths to the appropriate directories.
The run_num
parameter is used to define or group all the data for a particular model run. You can change it for different runs. For example, 'run_1', 'run_2' etc.
run_num = 'run_1'
val_with_targ, pred_with_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_with_targ', 'sample_evaluation_data')
val_no_targ, pred_no_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_non_targ', 'sample_evaluation_data')
val_following, pred_following = model_tools.write_predictions_grade_set(model,
run_num,'following_images', 'sample_evaluation_data')
Now lets look at your predictions, and compare them to the ground truth labels and original images. Run each of the following cells to visualize some sample images from the predictions in the validation set.
# images while following the target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','following_images', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol without target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_non_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol with target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_with_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
Evaluate your model! The following cells include several different scores to help you evaluate your model under the different conditions discussed during the Prediction step.
# Scores for while the quad is following behind the target.
true_pos1, false_pos1, false_neg1, iou1 = scoring_utils.score_run_iou(val_following, pred_following)
# Scores for images while the quad is on patrol and the target is not visable
true_pos2, false_pos2, false_neg2, iou2 = scoring_utils.score_run_iou(val_no_targ, pred_no_targ)
# This score measures how well the neural network can detect the target from far away
true_pos3, false_pos3, false_neg3, iou3 = scoring_utils.score_run_iou(val_with_targ, pred_with_targ)
# Sum all the true positives, etc from the three datasets to get a weight for the score
true_pos = true_pos1 + true_pos2 + true_pos3
false_pos = false_pos1 + false_pos2 + false_pos3
false_neg = false_neg1 + false_neg2 + false_neg3
weight = true_pos/(true_pos+false_neg+false_pos)
print(weight)
# The IoU for the dataset that never includes the hero is excluded from grading
final_IoU = (iou1 + iou3)/2
print(final_IoU)
# And the final grade score is
final_score = final_IoU * weight
print(final_score)


Clicking a tour in the list closes this window and opens the edit tour dialog. Clicking the delete icon will only remove the tour from the folder.


Module: Octokit::Client::Deployments
| Relationships & Source Files | |
| Extension / Inclusion / Inheritance Descendants | |
|
Included In:
| |
| Defined in: | lib/octokit/client/deployments.rb |
Overview
Methods for the Deployments
API
Instance Method Summary
-
#create_deployment(repo, ref, options = {}) ⇒ Sawyer::Resource
Create a deployment for a ref.
-
#create_deployment_status(deployment_url, state, options = {}) ⇒ Sawyer::Resource
Create a deployment status for a Deployment.
-
#delete_deployment(repo, deployment_id, options = {}) ⇒ No Content
Delete a Deployment.
-
#deployment(repo, deployment_id, options = {}) ⇒ Sawyer::Resource
Fetch a single deployment for a repository.
-
#deployment_statuses(deployment_url, options = {}) ⇒ Array<Sawyer::Resource>
(also: #list_deployment_statuses)
List all statuses for a Deployment.
-
#deployments(repo, options = {}) ⇒ Array<Sawyer::Resource>
(also: #list_deployments)
List all deployments for a repository.
-
#list_deployment_statuses(deployment_url, options = {})
Alias for #deployment_statuses.
-
#list_deployments(repo, options = {})
Alias for #deployments.
Instance Method Details
#create_deployment(repo, ref, options = {}) ⇒ Sawyer::Resource
Create a deployment for a ref
# File 'lib/octokit/client/deployments.rb', line 41
def create_deployment(repo, ref, = {}) [:ref] = ref post("#{Repository.path repo}/deployments", ) end
#create_deployment_status(deployment_url, state, options = {}) ⇒ Sawyer::Resource
Create a deployment status for a Deployment
# File 'lib/octokit/client/deployments.rb', line 75
def create_deployment_status(deployment_url, state, = {}) deployment = get(deployment_url, accept: [:accept]) [:state] = state.to_s.downcase post(deployment.rels[:statuses].href, ) end
#delete_deployment(repo, deployment_id, options = {}) ⇒ No
Content
Delete a Deployment
# File 'lib/octokit/client/deployments.rb', line 52
def delete_deployment(repo, deployment_id, = {}) delete("#{Repository.path repo}/deployments/#{deployment_id}", ) end
#deployment(repo, deployment_id, options = {}) ⇒ Sawyer::Resource
Fetch a single deployment for a repository
# File 'lib/octokit/client/deployments.rb', line 15
def deployment(repo, deployment_id, = {}) get("#{Repository.path repo}/deployments/#{deployment_id}", ) end
#deployment_statuses(deployment_url, options = {}) ⇒ Array
<Sawyer::Resource
>
Also known as: #list_deployment_statuses
List all statuses for a Deployment
# File 'lib/octokit/client/deployments.rb', line 61
def deployment_statuses(deployment_url, = {}) deployment = get(deployment_url, accept: [:accept]) get(deployment.rels[:statuses].href, ) end
#deployments(repo, options = {}) ⇒ Array
<Sawyer::Resource
>
Also known as: #list_deployments
List all deployments for a repository
# File 'lib/octokit/client/deployments.rb', line 24
def deployments(repo, = {}) get("#{Repository.path repo}/deployments", ) end
#list_deployment_statuses(deployment_url, options = {})
Alias for #deployment_statuses.
# File 'lib/octokit/client/deployments.rb', line 65
alias list_deployment_statuses deployment_statuses
#list_deployments(repo, options = {})
Alias for #deployments.
# File 'lib/octokit/client/deployments.rb', line 27
alias list_deployments deployments


about
Hello there!
I'm Beatrice and I'm a Communication Design student at Politecnico di Milano.Basic info & studies
I'm a 20 years old girl from Vicenza, Italy.Things I love
Personal motto
"Make it simple but significant"Social media
That's it.
Keep an eye on me.


Facebook
Google
Twitter
GitHub
This is where you can see your information: the like fact that you are a great person!


Connecting to Amazon Web Services
A {prodname} integration can connect to the following Amazon web services:
-
DynamoDB
-
Simple Notification Service (SNS)
-
Simple Queue Service (SQS)
-
Simple Storage Service (S3)
You must obtain AWS credentials before you can create a connection to an Amazon web service. For details, see:
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-aws.adoc - include::../../modules/connecting/proc-obtaining-aws-credentials.adoc[]
Connecting to Amazon DynamoDB
An integration can retrieve data from an Amazon DynamoDB table, add data to a DynamoDB table, or remove data from a DynamoDB table. To do this, create an Amazon DynamoDB connection and then add that connection to an integration flow.
For details, see:
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-dynamodb.adoc - include::../../modules/connecting/proc-creating-amazon-dynamodb-connections.adoc[]
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-dynamodb.adoc - include::../../modules/connecting/proc-adding-dynamodb-connection-query.adoc[]
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-dynamodb.adoc - include::../../modules/connecting/proc-adding-dynamodb-connection-put.adoc[]
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-dynamodb.adoc - include::../../modules/connecting/proc-adding-dynamodb-connection-remove.adoc[]
Connecting to Amazon Simple Notification Service (SNS)
An integration can send a message to an AWS Simple Notification Service topic. To do this, create an AWS SNS connection and then add that connection to an integration flow or as the finish connection for a simple integration. For details, see:
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-sns.adoc - include::../../modules/connecting/proc-creating-amazon-sns-connections.adoc[]
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-sns.adoc - include::../../modules/connecting/proc-adding-amazon-sns-connection-send.adoc[]
Connecting to Amazon Simple Queue Service (SQS)
An integration can retrieve messages from an Amazon SQS queue or send messages to an Amazon SQS queue. To do this, create an Amazon SQS connection and then add that connection to an integration flow. For details, see:
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-sqs.adoc - include::../../modules/connecting/proc-creating-amazon-sqs-connections.adoc[]
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-sqs.adoc - include::../../modules/connecting/proc-adding-amazon-sqs-connection-retrieve.adoc[]
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-sqs.adoc - include::../../modules/connecting/proc-adding-amazon-sqs-connection-send.adoc[]
Connecting to Amazon Simple Storage Service (S3)
An integration can retrieve data from an Amazon S3 bucket or copy data into an Amazon S3 bucket. To do this, create an Amazon S3 connection and then add that connection to an integration flow. For details, see:
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-s3.adoc - include::../../modules/connecting/proc-create-s3-connection.adoc[]
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-s3.adoc - include::../../modules/connecting/proc-adding-s3-connection-start.adoc[]
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-s3.adoc - include::../../modules/connecting/proc-adding-s3-connection-finish.adoc[]
Unresolved include directive in modules/ROOT/pages/connecting/assembly-connecting-to-amazon-s3.adoc - include::../../modules/connecting/proc-adding-s3-connection-middle.adoc[]


The United States Geological Survey maintains a hierarchical system of hydrologic units each assigned a
unique code (HUC). The heirarchical level is described by the number of digits in the code. A two-diget code (eg. HUC 2) is the coarsest unit of aggregation while the HUC 12 is the finest resulution.
The spatail geometries of these units are stored in the Watershed Boundary Dataset with coverage of the United States.
findWBD
returns a SpatialPolygonsDataFrame*
of WBD boundaries for the specified level within an AOI. Pending the query,
data comes from the USGS CIDA server or the USGS staged products FTP.
Below you can see the general factors for each HUC level:
| Name | Digits | Average Size (sqmiles) | Example Name | Example Code |
| Region | 2 | 177,560 | Pacific Northwest | 17 |
| Subregion | 4 | 16,800 | Lower Snake | 1706 |
| Basin | 6 | 10,596 | Lower Snake | 170601 |
| Subbasin | 8 | 700 | Imnaha River | 17060102 |
| Watershed | 10 | 227 | Upper Imnaha River |<PHONE_NUMBER> |
| Subwatershed | 12 | 40 | North Fork Imnaha River |<PHONE_NUMBER>01 |
| Name | Digits | Average Size (sqmiles) | Example Name |
findWBD(AOI = NULL, level = 8, subbasins = FALSE, crop = TRUE, ids = FALSE)
| AOI | A Spatial* or simple features geometry, can be piped from getAOI |
|---|---|
| level | defines the HUC level of interest (default = 8) |
| subbasins | If TRUE, all subbasins of the supplied level will be joined to retuned list |
| crop | If TRUE, all objects are cropped to the AOI boundaries (default = |
| ids | If TRUE, a vector of finest resolution HUC codes is added to retuned list (default = |
# NOT RUN { # Get Cropped HUC8s for AOI getAOI(clip = list("UCSB", 10, 10)) %>% findWBD() # Get Cropped HUC10s for AOI getAOI(clip = list("UCSB", 10, 10)) %>% findWBD(level = 10) # Get Cropped HUC8s, HUC10s and HUC12s for AOI getAOI(clip = list("UCSB", 10, 10)) %>% findWBD(level = 8, subbasins = TRUE) # Get uncropped HUC10s for AOI getAOI(clip = list("UCSB", 10, 10)) %>% findWBD(level = 10, crop = FALSE) # }


4 overrides of DoGetProperty
System.Management.Automation (4)
engine\CoreAdapter.cs (3)
5252
protected override PSProperty
DoGetProperty
(object obj, string propertyName)
5579
protected override PSProperty
DoGetProperty
(object obj, string propertyName)
5701
protected override PSProperty
DoGetProperty
(object obj, string propertyName)
engine\ThirdPartyAdapter.cs (1)
107
protected override PSProperty
DoGetProperty
(object obj, string propertyName)
1 reference to DoGetProperty
System.Management.Automation (1)
engine\CoreAdapter.cs (1)
5032
PSProperty property =
DoGetProperty
(obj, memberName);


EMC makes a LEAP forward with Virtustream and more
Announcement overload? Oh, you'll love it just as much as Big Mickey Dell
EMC World The first day of EMC World in Las Vegas caused announcement overload, with the Unity array top of the list, closely followed by a Virtustream storage cloud and more.
The Virtustream Storage Cloud (VSC) is for enterprises and service providers to store data in the cloud, mission-critical data, says EMC. The data can come from on-premises EMC arrays, with automated tiering sending data to Virtustream's "array in the sky" for long-term, archival storage. from products such as Data Domain arrays.
Arriving data is loaded into an object store and this is said to have enterprise-level resiliency – 13 "nines" and hyper-scale. We're told uninterrupted read access minimizes any business disruption in the event of outages.
EMC will receive subscription revenue from VSC customers. President Jeremy Burton likens VSC to the Apple cloud rather than AWS offerings, saying it's a natural place to send cooling or backed-up data from VMAX, XtremIO, Unity, Isilon, Data Domain, and EMC's Data Protection Suite, all of which support the VSC. VPLEX also supports this Virtustream cloud. The company will run its own Virtustream Storage Cloud.
VCS has an S3-compatible REST API interface and EMC says customers can "deploy web-scale object storage for cloud-native applications" using this API, for long-term backup and data retention.
Syncplicity, EMC's sold-off file sync and share product, supports VSC. Virtustream will offer "a hosted Syncplicity enterprise file sync and share (EFSS) solution" based on its Storage Cloud, with mobile users in mind.
Virtustream CTO Drew Gonczi has blogged about VSC, saying it was in development for four years: "What started as a small proof-of-concept has blossomed into an enterprise-class object storage service boasting 1.78 exabyte total capacity, supporting a terabit per second of network ingest globally, and containing 130 billion objects."
He continued: "There are four primary offerings: Standard, Standard Infrequently Accessed, Premium, and Premium Infrequently Accessed. The Standard services offer local storage protection with high durability, but for more critical data or workloads, the Premium service provides an unparalleled thirteen 9s durability and can withstand the loss of an entire data centre, whether temporarily or permanently. Customers may also choose Infrequent Access for archive data workloads to save on monthly storage costs."
VSC "works with open source tools such as Cyber Duck for browsing and manually controlling object content."
This cloud offering features client-side caching to speed reads and lower bandwidth costs. Deduplication and compression lower costs as well.
Isilon customers can use CloudPools policies to govern file data placement and retention in VSC. For Data Domain users no separate cloud gateway or virtual appliance is required; Data Domain Cloud Tier automatically moving deduped backup data directly to VSC.
Data Protection Suite customers install the CloudBoost physical or virtual appliance to cloud-enable EMC backup software and move data to the Virtustream Storage Cloud.
The rest
- LEAP is content management re-invented, being an app suite consisting of EMC and third-party content apps, a modular platform and a marketplace. It is engineered to work “better together” with the Documentum content management products. There are five apps: Courier document exchange, Snap document capture, Concert for document collaboration, Express for document access and Focus for mobile device document access. There is a partnership with DocuSign.
- InfoArchive 4.0 is for petabyte-scale archiving of structured and unstructured data with compliance requirements, and comes from EMC's Enterprise Content Diuvision, as does LEAP. Features enable retention management, legal holds, data masking and PCI compliance without the need to copy or reprocess data after it has been ingested. It can meet compliance scenarios such as Dodd-Frank in the United States, MiFID2/R in the European Union and the Office of the Superintendent of Financial Institutions (OFSI) E-13 in Canada. InfoArchive provides compliant data access for Hadoop and supports SAP active Archiving.
- ViPR Controller 3.0 storage automation software has support for over 50 EMC and third-party storage platforms and us designed to reduce manual tasks by up to 73 per cent. It has appcentric workflows, CoprHD support to add ViPR support to any storage system and new DR features.
- MyService360 is a cloud-based service dashboard which provides near real-time visibility into the health and status of a customer's entire EMC data centre environment. It is built using EMC's internal data lake (cloud) with analytics and visualization tools. Think of Nimble InfoSight as its inspiration.
- Enterprise Copy Data Management (eCDM) automates copy data monitoring and management. It is EMC's answer to Actifio and Catalogic. EMC says eCDM discovers existing copies across primary and protection storage enables the automation and optimization of copy data to reduce costs and streamline operations. Enterprise Copy Data Analytics (eCDA) is an analytics-as-a-service offering designed to complement eCDM and provide insight to proactively optimise copy data situations.
Comment
EMC will have pretty much refreshed every storage array product and software offering in its portfolio by the mid-point of this year. Burton says the VxRail products are going "gang-busters" while VxRack is off to a slower start as customers examine the idea of a hyper-converged data centre.
The Virtustream Storage Cloud is yet another object storage offering, there being no one object pony covering all the tricks needed. It gives EMC, and hence Dell, a stake in the public cloud which could be hugely important in a long-term sense. There is obvious scope for extending the set of source systems to include DSSD and EMC's converged and hyperconverged offerings, also Dell arrays and HCIAs.
Another potential direction is to expand the provision of services based on VSC, building on the Syncplicity deal.
The eCDM offerings are EMC's riposte to the arrival and success of Actifio and Catalogic and aimed at tackling copy data sprawl.
Price and availability
Check out a VSC datasheet here. Virtustream Storage Cloud will be generally available on May 10, 2016 with nodes in the United States and Europe.
LEAP Courier and Snap are available to a limited number of customers today and will be generally available in June. LEAP Concert, Express, and Focus are in active recruitment for beta customers this quarter with general availability in the second half of 2016. All LEAP offerings are available on pay-per-use subscription basis.
EMC InfoArchive 4.0 will be generally available on June 13, 2016. EMC InfoArchive is volume priced by TB ingested.
ViPR Controller 3.0 will be generally available in the second quarter of 2016.
MyService 360 is available at no additional cost to customers with an EMC warranty or maintenance agreement.
The eCDM product will be available in Q3, and initially focus on addressing copy sprawl in EMC systems such as VMAX All Flash, EMC VMAX3, XtremIO and Data Domain systems. The eCDA service will be available in Q3 as well. ®
Sponsored: Best practices for writing a successful NSF MRI grant proposal


Angular sets these CSS classes. It is up to your application to provide useful styling.
ng-invalid
, ng-valid
input
directive).ng-pristine
, ng-dirty
input
directive applies ng-pristine
class
to a new input widget element which did not have user interaction. Once the user interacts with
the input widget the class is changed to ng-dirty
.


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This page has two reveal menus and buttons in the header to open them. By default panels can be closed with a swipe on the page. In this demo we show how you can also open a panel with a swipe. This not part of the framework, because in case of multiple panels we wouldn't know which one to open.


{% for i in rows %}
Your Details
Name
Age
Location
Current Taking
{{ i[0] }}
{{ i[1] }}
{{ i[2] }}
{{ i[3] }}
{% else %}
Oops, We could not find any information,Please check your Reference number. Thank you.....
{% endfor %}
HOME


Thousands of Romanians protest against illegal logging, attacks on forest workers
by Reuters1 / 3People march against widespread illegal logging and lack of policy response that has left two foresters dead earlier this year, in Bucharest
BUCHAREST (Reuters) - Thousands of Romanians marched in the capital Bucharest and other cities on Sunday in protest against widespread illegal logging, which is believed to be behind the deaths of two forest workers in the past two months.
In downtown Bucharest, an estimated 4,000 people marched toward the water and forest ministry, according to local TV stations, banging drums and chanting "Our forest is not your commodity," and "Thieves."
The protests, organized by Greenpeace Romania and other environmental groups, demanded thorough criminal investigations into the deaths and attacks against forest workers, as well as immediate upgrades to the country's automated logging tracking system and tighter legislation.
The Silva trade union federation says six foresters have been killed in recent years while another 650 forest workers were beaten, attacked with axes or knives or even shot at after catching illegal loggers in the act.
They include Raducu Gorcioaia, who was found dead in his car with head wounds on Sept. 12 near a forest in Iasi county in eastern Romania, and Liviu Pavel Pop, who was shot dead on Oct. 16 in the northwestern Maramures county. Police are still investigating both deaths.
Romania, which is home to some of Europe's last remaining virgin forests and diverse wildlife, is losing an estimated three to nine hectares of forest per hour due to illegal logging, Greenpeace studies have shown.
Smaller marches took place in other Romanian cities on Sunday, with protesters carrying signs which said "Climate emergency" and "Save the forest."
(Reporting by Luiza Ilie; Editing by Susan Fenton)


{%- extends 'base.html' -%} {%- block content -%}
Our team consists of:
Trench
CTO & Chief Unfug Officer
Trench is an über-geek and loves to model random things, turning information into bits and bits into education. A general do-gooder who practically never sleeps.
There is no good way to contact him, he prefers to keep working away in his secret lair in the alps of switzerland.
Mayhem
CEO & Major Nonsense
Mayhem is an über-geek who also loves to tinker endlesslessly, but he actually does love to sleep. Mayhem understands technology, the importance of education and is therefore willing to take on the dirty business aspects of making this site run. He lives in Barcelona, Spain and runs the MetaBrainz Foundation as a day job.
You can find him on Twitter as MayhemBCN or view his rather unique personal home-page.
Monkey
Volunteer web designer
Monkey is a skilled web engineer and overall designer who created our logo and help us with web design for this web-site. Thank you for all your help in making our pages look nice!
You can find Monkey at { Monkey.Do }.


{% extends "layout.html" %} {% block page_title %} Sprint {{sprint}} - Dashboard {% endblock %} {% block inside_header %} {% endblock %} {% block content %} {% include "includes/link-back.html" %} Search results for “” 0 results found Filter results Provider details Name (optional) Search location (optional) Distance from location 5 miles 10 miles 50 miles National Only show national providers Apprenticeship levy Do you pay the apprenticeship levy? Yes No What is Apprenticeship levy Apprenticeships are set at different levels of difficulty from the equivalent of GCSE (level 2) up to postgraduate (level 7) More about levels Update results List view Show on a map Sort by Best match Closest first Highest satisfaction Highest achievement Sort Previous page Page of Next page Page of {% endblock %}
0 results found
Apprenticeships are set at different levels of difficulty from the equivalent of GCSE (level 2) up to postgraduate (level 7)
More about levels


Time remaining: Clock not started.
Xander Pomodoro v1.0.2 is © 2012 Colin Angus Mackay. Full source and licence can be found on GitHub. Charging Penguin audio was created by hackerb9 and released under a Creative Commons BY-SA 3.0 license. jQuery and jQuery UI are released under the MIT License.


This document presents a simple UTF-8 serialisation of a dataset as defined in the accompanying conceptual model. The goal is to make a simple and compact textual representation, not to abide by any particular existing standard.
This document describes outputing characters. This output stream SHALL be encoded in UTF-8 unless embedded in a data stream that unambiguously identified a different encoding.
Some tokens MAY be preceded and/or followed by any number of whitespace characters (i.e., [ \t\n\r]*
):
| If it says to output | may add preceding whitespace | may add following whitespace |
|---|---|---|
"a COMMA , " |
Yes | Yes |
"a COLON : " |
Yes | Yes |
"a LEFT PARENTHESES ( " |
No | Yes |
"a RIGHT PARENTHESES ) " |
Yes | Yes |
"a LEFT SQUARE BRACKET [ " |
No | Yes |
"a RIGHT SQUARE BRACKET ] " |
Yes | No |
"a LEFT CURLY BRACKET { " |
No | Yes |
"a RIGHT CURLY BRACKET } " |
Yes | No |
| Anything else | No | No |
Note if the specification does not explicitly name a character, whitespace padding is not allowed; thus for example when encoding a string says "Output c" no whitespace may be added even if c happens to refer to a COMMA or other character in the table above.
A Dataset may be preceded and followed by arbitrary whitespace, regardless of its first and last characters.
Given a dataset,
<scheme>
as onlined in RFC 2396: that is, something matching the regular expression [a-zA-Z][a-zA-Z0-9\+\-\.]*
.N
and a LEFT PARENTHESES (
.,
.)
.Example: N("http://polygenea.org/","pg")
means this encoding will abbreviate strings beginning with http://polygenea.org/
with the shortened prefix pg:
.
0
.The letter N
is selected because it is not a letter that could start any other type and suggests "namespace", the name of the similar abbreviation scheme used in XML
Because abbreviations is populated one entry at a time while it is being output, later abbreviations will be encoded using earlier ones. Thus, the following representation of a two-entry abbreviations
N("http://polygenea.org/Tag","pgt")
N("http://polygenea.org/","pg")
could be represented more compactly if the abbreviations where selected in a different order:
N("http://polygenea.org/","pg")
N("pg:Tag","pgt")
Given an element n to encode,
[ACDEIOPST]
).(
.,
.,
.,
.)
.Given a node reference r, and read-access to a (node reference : integer) mapping called indexOf, and read-access to an integer index,
-
Given a string s and read-access to a (string : string) mapping called abbreviations,
"
:
or a value mapped to by abbreviations,
:
"
, output c again:
"
, output c again:
nor key nor value in abbreviations,
"
, output c again"
The above performs minimal escaping:
:
is used to mean "no abbreviations here", and to escape itself in the first position of a string"
is repeated twice to escape itself (similar to many CSV encodings)There does not need to be any text after an abbreviated prefix.
If there are more than one possible prefixes that could be chosen in step 3, there is a quality-of-implementation expectation that the longest such prefix be used. Choosing a shorter prefix (or none at all, skipping to step 4) will still correctly represent the string, albeit not as concisely.
Integer values (excepting −1) are encoded using a standard base-10 representation with the ASCII decimal digits. They always match the regular expression -?(0|[1-9][0-9]*)
.
It is RECOMMENDED that the value −1 be encoded as the empty string, but implementations MAY use -1
instead.
Given a datum value x,
(
,
,
and a REVERSE SOLIDUS \
)
Given a list value x containing n items indexed 0 through n − 1,
[
,
]
Given a set value x,
{
,
}
If there is a comparison operator defined for the type of element stored in x, It is RECOMMENDED that s be the minimal element of x and that the remaining elements be visited in ascending order.
Given a pair k ↦ v,
:
Given a predicate of type p constructed with tuple t of n elements,
Q
name
of p, capitalised as given in the specification (e.g., ICmp
is LATIN CAPITAL LETTER I, LATIN CAPITAL LETTER C, LATIN SMALL LETTER M, LATIN SMALL LETTER P)(
,
.,
.)
The letter Q
is selected because it is not a letter that could start any other type and suggests "query", the class of nodes that contain predicates.
Given a producer of type p constructed with tuple t of n elements,
B
name
of p, capitalised as given in the specification (e.g., Cat
is LATIN CAPITAL LETTER C, LATIN SMALL LETTER A, LATIN SMALL LETTER T)(
,
.,
.)
The letter B
is selected because it is not a letter that could start any other type and suggests "builder", an approximate synonym for "producer"
The following encodes one possible form of an inference that someone named "John" is male.
N("http://gedcomx.org/","gx")
N("gx:v1/","gx1")
O({},{"type":"imagination","author":"Luther Tychonievich"})
S(2,"example person")
P(2,"gx1:Name",3,"John Doe")
E([S(,)
,P(,"gx1:Name",0,QRegex("Joh?n( |$)"))]
,[P(,"gx1:Gender",0,"gx:Male")])
I([3,4],5)
P(6,"gx1:Gender",3,"gx:Male")


Thank you for registering {{name}} ({{email}})!
To verify and activate your account please proceed to this activation link to fill in some finalizing information and get to seeing your device statistics!
If you have received this email in error, please ignore this email.
\If you feel something is wrong please do not hesitate to contact support at {{supportEmail}} for assistance!
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This is a self-assessment webapp. It's designed to help the user run experiments about their daily lives. The experiments run by this webapp don't need any fancy machinery or special knowledge. To run a successful experiment a user only has to follow instructions and a schedule.
You may wonder what kind of experiments we can run just using a website. When most people think of experiments they think of research labs, or hospitals, or social surveys that sample people from across the country. Those experiments are big and complicated because the scientists who run them are aiming for general truth -- they want to prove something about everyone everywhere (or close to it :) ). Our website will be focused on a much smaller scale : you! With this website and a little work, you'll be able to find out all sorts of things about yourself, and it won't be very difficult.
There are a lot of interesting questions you can answer with a webapp like this. Some good self-assessment question examples :
It's not hard to come up with these: you only need an object of your curiousity and a way to measure it. Those questions were some of my motivating examples when building this webapp. Unfortunately, the webapp is far from complete : we'll be below version 1 until I finish learning JavaScript. For now, the only question this webapp can help you answer is number 4. Continue reading to see how it works!
The first thing you'll need to do is create an account, but this is done automatically when you create a new assessment schedule. You first stop, then, should be the New Schedule link. Once you've created a schedule, be sure to stop back by the Welcome page. You'll get your daily intervention instructions there. Afterwards, head to the SART (Sustained Attention to Response Task) Assessment page and read through the tutorial. Don't worry -- the site will explain what SART is once you're there. After you do the tutorial, you're done for now. Just regularly check back in at the appropriate times, follow the instructions, and complete the SART assessmenets. Your results will be viewable once your schedule is over.


Welcome to example,
Press A to put an Attractor,
Press P to put a Particle,
Press M to change the velocity of the particles,
Press R to Reset the particle and attractor count


| Modifier and Type | Class and Description |
|---|---|
class |
DiscoveryV2CachingTest |
| Modifier and Type | Class and Description |
|---|---|
class |
Driver
This class acts as a wrapper that enable the End2End security test
to run as a
org.apache.river.qa.harness.LegacyTest |
| Modifier and Type | Class and Description |
|---|---|
class |
MultihomedClientTest
LegacyTest that verifies that Reggie will attempt to connect to
all addresses a multihomed client host resolves to
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractThreadTest
Abstract utility class that serves as the base for all
thread tests
|
class |
TaskManagerTaskExceptionTest
This class implements a regression test to bugID 4868259 "Task Manager
should be resilient to Tasks throwing exceptions."
|
class |
WakeupManagerTaskExceptionTest
This class implements a regression test to bugID 4879941 "WakeupManager
should protect itself against tasks that throw exceptions."
|
| Modifier and Type | Class and Description |
|---|---|
class |
ConstructorTest
The purpose of this test is to verify the constructors for
BasicJeriExporter
Use Cases:
Constructing a BasicJeriExporter with default values
Constructing a BasicJeriExporter with a
SeverEndpoint
Constructing a BasicJeriExporter with a
SeverEndpoint , InvocationLayerFactory ,
distibuted garbage collection flag, and server virtual machine
keep-alive flag
For testing Use Case 1: Invoke BasicJeriExporter()
Verify that the ServerEnpoint used by the exporter is
TcpServerEnpoint
Verify that the InvocationLaterFactory used by
the exporter is BasicILFactory
Verify that the distibuted garbage collection flag for the
exporter instance is set to true
Verify that the server virtual machine keep-alive flag for the
exporter instance is set to true
For Testing Use Case 2: Invoke BasicJeriExporter(ServerEndpoint se) with a
dummy ServerEndpoint implementation
Verify that the ServerEnpoint used by the exporter
is the dummy implementation
Verify 2, 3, and 4 from Use Case 1
For Testing Use Case 3: Invoke BasicJeriExporter(ServerEndpoint se,
InvocationLayerFactory ilf, boolean enableDGC, boolean keepAlive)
with dummy ServerEnpoint and
InvocationLaterFactory implementations and
garbage collection and keep-alive flags both set to false
Verify that the ServerEnpoint used by the exporter is the
dummy ServerEnpoint implementation
Verify that the InvocationLayerFactory used by the
exporter is the dummy InvocationLayerFactory
Verify that the distibuted garbage collection flag for the
exporter instance is set to false
Verify that the server virtual machine keep-alive flag for
the exporter instance is set to false
|
class |
ExportExceptionTest_NullArgument
Purpose: This test verifies that the
export method throws
the appropriate exceptions
Use Case: Attempting to pass a null argument to the export method. |
class |
ExportExceptionTest_SameIDSameSE
Purpose: This test verifies that the
export method throws
the appropriate exceptions
Use Case: Attempting to export an object with the same object
identifier and server endpoint twice. |
class |
ExportTest_CallTwice
Purpose: This test verifies the correct behavior of the
BasicJeriExporter.export() method. |
class |
ExportTest_CustomParams
Purpose: This test verifies the correct behavior of the
BasicJeriExporter.export() method when using custom
invocation layer factories ans server endpoints. |
class |
ExportTest_DefaultParams
Purpose: This test verifies the correct behavior of the
BasicJeriExporter.export() |
class |
UnexportExceptionTest
Purpose: This test verifies that calling
unexport on an
exporter that has not exported anyting throws a
java.lang.IllegalStateException
Use Case: Attempting to call unexport on an exporter that has
not exported anything. |
class |
UnexportTest_ForceFalse |
class |
UnexportTest_ForceTrue |
class |
UnexportTest_InProgressForceFalse |
class |
UnexportTest_InProgressForceTrue |
| Modifier and Type | Class and Description |
|---|---|
class |
BJEAbstractTest
Abstract class for
BasicJeriExporter tests |
| Modifier and Type | Class and Description |
|---|---|
class |
IsTrustedObjectTest |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractTrustVerifierTest |
| Modifier and Type | Class and Description |
|---|---|
class |
ConnectionManagerTest
The purpose of this test is to verify the following behavior of
net.jini.jeri.connection.ConnectionManager :
1. |
class |
ServerConnectionManagerTest
The purpose of this test is to verify the following behavior of
net.jini.jeri.connection.ServerConnectionManager :
1. |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractConnectionTest
Abstract class for
BasicJeriExporter tests |
| Modifier and Type | Class and Description |
|---|---|
class |
IsTrustedObjectKerberos |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractTrustVerifierTestKerberos |
| Modifier and Type | Class and Description |
|---|---|
class |
ClientAbortTest
Purpose: This test verifies that a protocol client stops sending data
to a sever after the server sends an Abort message.
|
class |
ClientFlowControlTest
Purpose: The purpose of this test is to exercise the Jini ERI
Multiplexing Protocol flow control mechanism.
|
class |
CloseTest
Purpose: This test verifies that a protocol client stops sending data
to a sever after the server sends a Close message.
|
class |
MuxClientTest
Purpose: The purpose of this test is to exercise client-side implementations
of the Jini ERI multiplexing protocol.
|
class |
MuxServerTest
Purpose: The purpose of this test is to exercise server-side implementations
of the Jini ERI multiplexing protocol.
|
class |
ServerAbortTest
Purpose: This test verifies that a protocol server stops sending data
to a client after the client sends an Abort message.
|
class |
ServerFlowControlTest
Purpose: The purpose of this test is to exercise the Jini ERI
Multiplexing Protocol flow control mechanism.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractMuxTest
Abstract utility class that serves as the base for all
Jini ERI Multiplexing Protocol tests.
|
| Modifier and Type | Class and Description |
|---|---|
class |
IsTrustedObjectTestSSL |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractTrustVerifierTestSSL |
| Modifier and Type | Class and Description |
|---|---|
class |
CheckConstraintsTest |
class |
CheckTrustEquivalenceTest |
class |
ConstructorAccessorTest |
class |
EndpointInUseTest |
class |
EqualityTest |
class |
GetDeliveryStatusTest |
class |
IllegalArgumentExceptionTest |
class |
ListenContextExceptionTest |
class |
NewRequestConflictingConstraintsTest |
class |
NullPointerExceptionTest |
class |
RobustnessTest |
class |
ServerEndpointTest |
| Modifier and Type | Class and Description |
|---|---|
class |
KerberosCheckTrustEquivalenceTest |
class |
KerberosConstructorAccessorTest |
class |
KerberosServerConstructorAccessorTest |
class |
KerberosWrapper |
| Modifier and Type | Class and Description |
|---|---|
class |
SslServerConstructorAccessorTest |
| Modifier and Type | Class and Description |
|---|---|
class |
ServerConstructorAccessorTest |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractEndpointTest |
| Modifier and Type | Class and Description |
|---|---|
class |
ToStringTest
LegacyTest that verifies that toString() methods of ServiceItem,
ServiceMatches, and ServiceTemplate can handle null values,
0-length arrays, and arrays with null elements.
|
Copyright 2007-2013, multiple authors.
Licensed under the Apache License, Version 2.0, see the NOTICE file for attributions.


1
One
some text
2
Two
some text
3
Three
some text
4
Four
some text
5
Five
some text
6
Six
some text
Serialize
// TODO serialise doesn't work very well with a form does it!!!


Delta Airlines
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Hanger Summary
Flights Summary


This consists of a list of properties of each Prg in the Selected Preset displayed in each tab:
| Attributes & Filesize | READONLY (Cannot alter or remove) ARCHIVE (Common: For backup or removal) SYSTEM (Used by OS) HIDDEN (Won't show in folders) NORMAL (No other attributes set) OFFLINE (Used by Remote Storage) TEMPORARY (Used by Temp Storage) File size in Kilobytes. |
| File path and file name | If the path is too long for the display area it is truncated. |
| CRC | Calculated by Laszlo's CRC32 function ~2007. |
| Creation Date | |
| Modification Date |


Stories
Celebrating new endowed chairs
UCSC is proud to announce the creation of two brand-new endowed chairs: one in entrepreneurship, and one that will benefit the campus's groundbreaking Global Information Internship Program.
Narinder Singh Kapany, a former UCSC professor and currently a UC Santa Cruz Foundation Trustee, made a $500,000 gift to establish an endowed chair in entrepreneurship.
A pioneering fiber-optics researcher, and an entrepreneur in his own right, Kapany will help entrepreneurship programs grow and thrive through his generous support.
UCSC offers courses in business development and business planning, as well as seminars and other opportunities for students to meet with venture capitalists, business managers, and experienced entrepreneurs.
"They learn how to turn good ideas into viable business plans," said Brent Haddad, associate dean of engineering for technology management.
Kapany, who was a Regents Professor at UC Santa Cruz from 1977 to 1983, has given before—he endowed the Narinder Singh Kapany Chair in Optoelectronics at the Baskin School of Engineering in 1999.
Another respected member of the UCSC community, Global Information Internship Program advisory board member Mark Headley (Stevenson '83, politics and economics), recently made a gift to the program that will establish the Dorothy E. Everett Endowed Chair.
Paul Lubeck, executive director of GIIP, practiced "social entrepreneurship" by working with the donor and nurturing the gift through the foundation.
The endowment will support the management, staffing, instruction, and other needs of GIIP, a program that mentors students in information technology and social entrepreneurship to advance social justice, sustainable development, peace, and gender equity.
"We put so many resources and training into a class that helps students develop great projects," said Katie Roper, GIIP's managing director. "The endowment will ensure that GIIP will continue to be a valuable resource."
Even before his recent generous gift, Headley was a longstanding GIIP supporter. "I think taking students from Santa Cruz and placing them into some of the most economically and sociologically challenged places on the planet—and doing that safely and responsibly—is an amazing accomplishment," he said recently.


Crews make repairs after LIRR derailment with hundreds on board
by Eyewitness NewsJAMAICA, Queens (WABC) -- The MTA says there will be no disruptions on the LIRR during Monday morning's commute after a train derailed Friday night in Queens.
Two cars of the 8:56 p.m. train from Penn due at Babylon at 10:11 p.m. derailed just east of Jamaica near Archer Ave and Sutphin Boulevard.
There were 383 passengers on board the train at the time, according to the LIRR. Passengers had to wait more than an hour to get off the stranded train.
Crews worked through the night and have continued track work around the clock to get the equipment re-railed.
"We do know that there is a rail that was broken," said LIRR SVP of Operations Rod Brooks. "We don't know whether that was a cause or an effect. We are just 11 hours into it, so our first priority is the safety and security of the passengers and employees, get the cars re-railed, get the infrastructure restored, restore service and then we will begin our investigative process."
No injuries were reported, but there were many delays and cancellations throughout the night.
Trains were running on time Saturday morning, but passengers leaving from Jamaica Station were advised they would be boarding on a different track.
The MTA chairman has ordered an expedited investigation into what went wrong. That investigation is expected to take a few weeks.


New : Get the new 2048 app for ios and Android!
How to play: Use your arrow keys to move the tiles. When two tiles with the same number touch, they merge into one!
Created by Carson Liu. Based on 1024 Atom.


9 references to Command
System.Management.Automation (9)
engine\hostifaces\Command.cs (3)
28
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this
(command, false, null)
39
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886
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engine\hostifaces\pipelinebase.cs (1)
1007
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engine\hostifaces\PSCommand.cs (2)
144
_currentCommand = new
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_currentCommand = new
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engine\InitialSessionState.cs (1)
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engine\remoting\server\ServerRunspacePoolDriver.cs (2)
635
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cmdToRun = new
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 Anything the target is w earing or carrying is invisible as long as it is on the target's person.
 Anything the target is w earing or carrying is invisible as long as it is on the target's person.


TZInfo — Daylight-savings aware timezone support for Ruby
TZInfo uses the tz database (www.twinsun.com/tz/tz-link.htm) to provide daylight-savings aware transformations between times in different timezones. This is the same database as used for zoneinfo on Unix machines.
The tz database has been imported (using TZDataParser) and turned into a set of Ruby modules (which are packaged with this release).
Example usage
To convert a time in UTC to a local time in the America/New_York timezone, you can do the following:
require 'tzinfo' tz = TZInfo::Timezone.get('America/New_York') local = tz.utc_to_local(Time.utc(2005,8,29,15,35,0))
Note that the Time returned will look like it is UTC (Time.zone will return “UTC”). This is because it is not currently possible to change the offset of an individual Time instance.
To convert from a local time to UTC, the local_to_utc method can be used.
utc = tz.local_to_utc(local)
Note that the timezone information of the time you pass in is ignored. The following two lines will return the same result regardless of the local timezone:
tz.local_to_utc(Time.local(2006,6,26,1,0,0)) tz.local_to_utc(Time.utc(2006,6,26,1,0,0))
To get information about the rules in force at a particular UTC or local time, the Timezone.period_for_utc and Timezone.period_for_local methods can be used. Both of these methods return TimezonePeriod objects. The following gets the identifier for the period (in this case EDT).
period = tz.period_for_utc(DateTime.new(2005,8,29,15,35,0)) id = period.zone_identifier
In all the above examples, instances of Time can be used instead of DateTime. Timezone#utc_to_local and Timezone#local_to_utc both return the type they are passed.
You can get the current local time in a Timezone with the Timezone#now method:
now = tz.now
All methods in TZInfo that take a time can be used with either Time, DateTime or Integers (Time#to_i). The return type will be the same as the type passed in.
You can also access Timezones by Country (ISO 3166 country code). The following gets all the Timezone identifiers for the US:
us = TZInfo::Country.get('US') timezones = us.zone_identifiers
The zone_info method of Country provides an additional description and location for each Timezone in the Country.
The above covers the most common uses of Timezone and Country. For more detail, see the API documentation for the individual classes.
Download
The latest version of TZInfo can be found at
API documentation can be found at
Installation
The preferred method of installing TZInfo is through the GEM file (RubyGems required):
% gem install tzinfo-x.y.z.gem
or to automatically download and install:
% gem install tzinfo --remote
License
TZInfo is released under the MIT license.
Support
Please post to the TZInfo Users mailing list (rubyforge.org/mailman/listinfo/tzinfo-users) if you require assistance or have any suggestions.
Alternatively, you can contact the author Philip Ross directly at phil.ross@gmail.com.


{% include head.html %}
{% include header.html %}
ABOUT
{% include navigation.html %} {% include about.html %} {% include footer.html %} {% include js.html %}


Money Play. How should Red play 64?
pips Red=160 White=161
(CorrectAnswer= 0/0, ErrorScore= 0)
Most third roll plays are ‘known’ by expert players but it’s surprising how often you see a misplay.
24/20, 13/7 is slightly better than 24/14 because it maintains the connectivity of the rear checkers and puts pressure on White’s 8-pt.
24/14 is ‘wrong’ by only 0.017 but it’s just as well to get these plays correct.
24/20, 13/7 is slightly better than 24/14 because it maintains the connectivity of the rear checkers and puts pressure on White’s 8-pt.
24/14 is ‘wrong’ by only 0.017 but it’s just as well to get these plays correct.
1. Cubeful 2-ply 24/20 13/7 Eq.: +0.017 0.510 0.146 0.007 - 0.490 0.149 0.005 2. Cubeful 2-ply 24/14 Eq.: +0.002 (-0.015) 0.510 0.125 0.004 - 0.490 0.149 0.005 3. Cubeful 2-ply 13/9 13/7 Eq.: -0.040 (-0.057) 0.489 0.154 0.009 - 0.511 0.157 0.008 4. Cubeful 2-ply 24/18 13/9 Eq.: -0.077 (-0.094) 0.489 0.137 0.006 - 0.511 0.167 0.009 5. Cubeful 2-ply 24/20 24/18 Eq.: -0.109 (-0.126) 0.490 0.119 0.005 - 0.510 0.174 0.006


Problem 1. Numbers
Print numbers
Problem 2. Numbers not divisible
Print numbers
Problem 3. Min/Max of sequence
Print numbers
Problem 4. Lexicographically smallest
Print properties
Clear Console


A progress bar shows the progression of a task
A standard progress bar
Various styles applicable to the progress bar


--- layout: default ---
Ubiquity Press is an open access publisher of peer-reviewed academic journals, books and data.
They also serve as a platform for partnering universities to initialise their own open source publishing presses. Ubiquity Press wanted to create a template that they could use to set up their own and partner presses, allowing partners to customise their portals to suit their brand identity while maintaining a high quality user experience.
The goal was to make this template feel fresh & modern, allowing users to easily discuss, share and read books and journals published through the press portal.
Ubiquity Press is an open access publisher of peer-reviewed academic journals, books and data. It also serves as a platform for partnering universities to initialise their own publishing presses. Ubiquity have the underlying backend and processes to launch their presses, but want a modern design that is in line with the innovative nature of their publishing model.
The brief is to create a HTML/SCSS template press layout and design that can be customised to some extent by partnering presses.
Ubiquity press provides a revolutionary publishing model that combines modern technology and established university practices, which can sometimes be at odds with each other
The design of the press template needs to have a modern feel while conveying academic authority
We started by deciding on typography. Since the presses would have a varying amount of content - sometimes busy and sometimes quite empty, fonts were important for establishing visual hierarchy.
While the original font pairings were taken from typekit (Source Sans Pro and Rooney Web) we ended up moving to google fonts as it was a more sustainable solution, using Droid Serif as a suitable replacement.
Source Sans Pro in thin has a very sleek and fresh look that brought an element of modernity, while the more standard but slightly softened Droid Serif kept the element of print that the presses are still involved in.
{% image work/up-portals/typesettle.png %}We took inspiration both from established online book stores and university websites as well as contemporary article sites and online news aggregators, blending them all together into a design on the line between modernity and tradition.
{% image work/up-portals/latestnews.png %}The presses need to be customisable by partner presses, but must maintain a good user experience across the board.
We must set the limitations for customisation to balance partner press needs with a consistent quality of user interface
As previously mentioned, we had decided that the visual hierarchy set by type would be important for creating order in both content-heavy and less populated presses.
The typography was designed to provide readability and clarity. Therefore, we decided that while there should be an easy way to choose a custom font family, we did not integrate font size control into the variable file.
We also decided to limit the layout styles to max 2 columns (each block taking up one column) as some blocks would not be useful if placed within a more narrow column, and because it had potential to cause issues with responsiveness going forward.
We limited the amount of brand colors to 4 to ensure that there wouldn’t be too much distraction if the colours happened to be very attention-grabbing. We also use colour quite sparingly on the template, but in a couple of key places where they help reinforce the brand identity of the press.
We knew we wouldn’t have control over the visual hierarchy once the presses started customising, so it was important to put down some kind of guide for how the colours would appear in the design.
Of the partner presses that have joined so far, this has proved quite successful. The way we implemented our "guide" was to name the variables in a way that reflected their prominence within the design.
We found that this setup tended to provide a visually balanced colour scheme that would be close to what the partner press was using within their own branding.
As you can see, there are still many similarities in appearance between presses, but the customisation elements allow you to quickly differentiate between them.
Ubiquity press are eager to introduce a feeling of dynamism and social interaction on their page
Design a way to integrate social sharing and feeds into the site without it feeling stale, out of place or forced.
This was really one of the biggest challenges in the project - how do you make a social feed interesting? We’ve all seen embedded twitter timelines, but they often feel a little forced, or like background fodder. Theres even adblockers to get rid of them!
Since twitter had updated their API to be more strict about display requirements, it had become harder to present tweets in a way that felt integrated and relevant to the actual site content.
Twitter's timelines have a lot of functionality, but can feel a bit out of place and forced in a design
While there were non-official ways to get around this, we wanted a sustainable solution that would allow us to retain all the functionality that comes with twitter’s timelines - ability to reply, favourite, retweet,and follow, without taking the user away from the site.
We decided embedded individual twitter cards were a good way to accomplish this. It gave us more freedom than twitter timelines, and Ubiquity’s team had found a way to systematically collect the relevant tweet ID’s needed to create a “timeline” of embedded twitter cards.
Hey, @ubiquitypress new website is quite fantastic http://t.co/A6Wkqa2wIY and you can download #openaccess ebooks in PDF, EPUB, Kindle
— Stefano Costa (@stekosteko) September 3, 2014
Twitter cards provide a lot of functionality while being less restrictive than timelines
The concept was to have the tweets populate a list almost as if they were being tweeted in real time. We went through several iterations of this but ran into a number of issues due to technical limitations, as we were trying to create the effect via CSS animations on a timer.
The rationale behind pursuing a CSS only solution was that it was a little more lightweight and allowed the user to scroll through the tweets, however it caused a number of annoying user experience issues that outweighed the benefits.
At last, we decided to go a javascript route - using the bxslider.js library to create a vertical slider. This didn’t allow users to scroll through tweets, but gave them the controls to flip through them instead. The result was a much less problematic feed that still gave the site a dynamic feel.
As the target audience will be in Universities, users may be viewing the site on smaller screens or tablets.
Design the site to be fully responsive, with extra focus on smaller screen sizes
When designing the site, we were keen on making it pleasant to use even at a very small height. This was because we assumed the user base was likely to use smaller screens such as laptops or older monitors. The actual window we used while we were designing the site was something like 1000 x 550 px - tiny, but appropriate on e.g a 13” screen.
Designing for smaller window sizes meant avoiding the use of overly large fonts, spaces or images in order to serve the user as much content and more importantly, context at any time.
{% image work/up-portals/imac.jpg %}Putting a lot of effort into the small screen experience did not mean that the big screen experience suffered - the result was simply a much tighter layout with concentrated, smaller packets of information.


Wendy's customer arrested after chasing friend with pocket knife over large food order
by Michael HollanA large food order at a fast-food restaurant reportedly resulted in one customer chasing another around with a knife.
A woman was arrested on Tuesday after allegedly threatening and chasing her friend with a pocket knife outside of a Wendy’s in Nashville, Tenn. The pair reportedly got into an argument over the amount of food that one of them ordered.
Julia Dueease drove her friend to the restaurant expecting the other woman to pay, WKRN reports. According to police reports, the other woman became angry at Dueease for ordering too much food at the drive-thru.
The pair reportedly pulled into a parking space and continued to argue. At this point, Dueease allegedly pulled out a pocket knife and told her friend to exit the vehicle.
TACO BELL THIEF HELPS HIMSELF TO TOSTADA SHELLS DURING ROBBERY
As she was getting out of the car, the unnamed woman claimed that she dropped a five-dollar bill. When Dueease picked up the bill, another argument erupted.
Dueease allegedly threatened to kill her friend and then chased her around the car with the pocket knife. The unnamed woman eventually made it to a nearby gas station, where she called for help.
Dueease was taken into custody on a charge of aggravated assault with a deadly weapon.
CLICK HERE TO SIGN UP FOR OUR LIFESTYLE NEWSLETTER
Tuesday's incident marks the latest in a string of violent altercations observed at fast-food restaurants. Most notably, a Popeyes customer in Wisconsin received an unexpected side of mayhem when a wild brawl between employees erupted moments after he walked into a Milwaukee location of the chicken chain.
"Honestly, I wasn't even going to get the chicken sandwich," customer Richard Fourté told Fox 6 Now of his intended order when visiting Popeyes on Nov. 13. Fourté said he ultimately left empty-handed, as an “out of control” brawl between workers caused chaos.
CLICK HERE TO GET THE FOX NEWS APP
The fistfight between the staffers began around 9:30 p.m. while the restaurant was full of customers, Fourté said.


Categories are often used to give an abstract view of programming language features. For example, most programming languages have a features such as tuples, records, or objects which allows data to be collected together. Different languages have different syntax, but by viewing the languages categorically, we can see what they have in common, and where there are important semantic differences. For example, in some languages records might correspond categorically to products, where in another they might correspond to monoidal structure. Looking at languages categorically allows us to concentrate on semantics rather than syntax.
Since Moggi's seminal paper on computational monads there has been much interest in the semantics of non-trivial computation, such as mutable state (Pitts), concurrency (Jeffrey), and I/O (Gordon). Power and Robinson have suggested premonoidal categories as an alternative presentation of computational monads, and in this paper we show how premonoidal categories provide a formal notion of data/control flow graphs for programs.
The presentation we adopt here is a slight variant of Power and Robinson's original presentation where we consider three categories, all with the same objects:
These inclusions respect the product/monoidal/premonoidal structure of the three categories, and are the identity on objects.
This gives us enough structure to model simple expressions, but for more realistic examples we need to add functions and recursion. Functions are treated by adding adjunctions to the product/monoidal/premonoidal structure:
Recursion is treated by allowing functions from P to be traced, in an adaptation of Joyal, Street and Verity's monoidal traced categories. This is similar to Hasegawa's use of traced monoidal categories to model recursive declarations, except that where he uses tracing in P to model call-by-name, we use tracing in V to model call-by-value.
We can give a syntactic presentation of these categories as a simple programming language, and a graphical presentation using mixed dataflow and controlflow graphs. This presentation is similar to Gardner's name-free presentation of Milner's control structures, and in the conclusion some ideas for future work are presented, showing how Milner's operational semantics for control structures might be adapted to the premonoidal setting.


Create a bank account
Firstname
Middlename
Lastname
Date of Birth
Email
Phone number
House Number
Street Name
City/Town
State
State
Rivers State
Abia State
Ogun State
Bauchi State
Yola State
Calabar State
Lagos State
Preferred Account Type
Savings Account
Current Account
Upload a passport


DevFest Rift Valley 2018 Spawn particles with your mouse, don't be idle sketch.js Home View on Github


{% extends "modules/gci/form_base.html" %} {% comment %} Licensed 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. {% endcomment %} {% block stylesheets %} {{ block.super }} {% endblock stylesheets %} {% block formsave_msg %} {% if posted %}
{% endif %} {% endblock formsave_msg %} {% block form_button %} {{ block.super }} {% if edit_profile %} {% endif %} {% endblock form_button %} {% block dependencies %} [ dep.uniform, dep.jqueryui.datepicker, dep.dd, null, tc("/soc/content/{{ app_version }}/js/templates/modules/gci/profile/base.js"), tc("/soc/content/{{ app_version }}/js/templates/modules/gci/avatar.js", { 'prefix_path': "/soc/content/{{ app_version }}/images/gci/avatars/" }) ] {% endblock dependencies %}


4 references to
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249
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306
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Column Dialog¶
Use the Column dialog to add a column to an existing table or modify a column definition.
The Column dialog organizes the development of a column through the following dialog tabs: General, Definition, and Security. The SQL tab displays the SQL code generated by dialog selections.
Use the fields in the General tab to identify the column:
Use the Name field to add a descriptive name for the column. The name will be displayed in the pgAdmin tree control. This field is required.
Store notes about the column in the Comment field.
Click the Definition tab to continue.
Use the fields in the Definition tab to add parameters for the column. (Fields are disabled if inapplicable.)
Use the drop-down listbox next to Data Type to select a data type for the column. For more information on the data types that are supported by PostgreSQL, refer to Chapter 8 of the Postgres core documentation. This field is required.
Use the Length/Precision and Scale fields to specify the maximum number of significant digits in a numeric value, or the maximum number of characters in a text value.
Use the drop-down listbox next to Collation to apply a collation setting to the column.
Click the Constraints tab to continue.
Use the fields in the Constraints tab to specify constraints for the column. (Fields are disabled if inapplicable.)
Use the Default Value field to specify a default data value.
Move the Not Null switch to the Yes position to specify the column may not contain null values. The default is No.
Use the Type field to specify the column type (NONE/IDENTITY/GENERATED). The default is NONE.
Click the IDENTITY type to create Identity column.
Use the following fields to create IDENTITY column. Identity columns are applicable for PG/EPAS version 10 and above.
Use the Identity field to specify ALWAYS or BY DEFAULT. This clause is used to determine how the sequence value is given precedence over a user-specified value in an INSERT statement.
Use the Increment field to specify which value is added to the current sequence value to create a new value.
Provide a value in the Start field to specify the beginning value of the sequence. The default starting value is MINVALUE for ascending sequences and MAXVALUE for descending ones.
Provide a value in the Minimum field to specify the minimum value a sequence can generate. If this clause is not supplied or NO MINVALUE is specified, then defaults will be used. The defaults are 1 and -263-1 for ascending and descending sequences, respectively.
Provide a value in the Maximum field to specify the maximum value for the sequence. If this clause is not supplied or NO MAXVALUE is specified, then default values will be used. The defaults are 263-1 and -1 for ascending and descending sequences, respectively.
Provide a value in the Cache field to specify how many sequence numbers are to be preallocated and stored in memory for faster access. The minimum value is 1 (only one value can be generated at a time, i.e., no cache), and this is also the default.
Move the Cycled switch to the Yes position to allow the sequence to wrap around when the MAXVALUE or the MINVALUE has been reached by an ascending or descending sequence respectively. If the limit is reached, the next number generated will be the MINVALUE or MAXVALUE, respectively. The default is No.
Click the GENERATED type to create Generated column.
Use the following fields to create GENERATED column. Generated columns are applicable for PG/EPAS version 12 and above.
Use the Expression field to specify the generation expression. It can refer to other columns in the table, but not other generated columns. Any functions and operators used must be immutable. References to other tables are not allowed.
Click the Variables tab to continue.
Use the Variables tab to to specify the number of distinct values that may be present in the column; this value overrides estimates made by the ANALYZE command. Click the Add icon (+) to add a Name/Value pair:
Select the name of the variable from the drop-down listbox in the Name field.
Select n_distinct to specify the number of distinct values for the column.
Select n_distinct_inherited to specify the number of distinct values for the table and its children.
Specify the number of distinct values in the Value field. For more information, see the documentation for ALTER TABLE.
Click the Add icon (+) to specify each additional Name/Value pair; to discard a variable, click the trash icon to the left of the row and confirm deletion in the Delete Row popup.
Click the Security tab to continue.
Use the Security tab to assign attributes and define security labels. Click the Add icon (+) to add each security label selection:
Specify a security label provider in the Provider field. The named provider must be loaded and must consent to the proposed labeling operation.
Specify a a security label in the Security Label field. The meaning of a given label is at the discretion of the label provider. PostgreSQL places no restrictions on whether or how a label provider must interpret security labels; it merely provides a mechanism for storing them.
Click the Add icon (+) to assign additional security labels; to discard a security label, click the trash icon to the left of the row and confirm deletion in the Delete Row popup.
Click the SQL tab to continue.
Your entries in the Column dialog generate a SQL command (see an example below). Use the SQL tab for review; revisit or switch tabs to make any changes to the SQL command.
Example¶
The following is an example of the sql command generated by user selections in the Column dialog:
The example shown demonstrates creating a column named territory in the table named distributors.
Click the Info button (i) to access online help.
Click the Save button to save work.
Click the Cancel button to exit without saving work.
Click the Reset button to restore configuration parameters.


Some examples of interfaces ?
What do they all have in common?
Examples:
Give your users an idea of what is important
Produce at least 3 alternatives for every design decision - msuther
Go through every screen & its relation with other screens
Sketches, Wireframes, Mockups, Pixels, Shots
Is this the easiest, most obvious interaction that the user would choose?
Can I offer an alternative to this interaction?
Don't miss out the power users
Don't try to do everything, do ONE THING WELL
This is just a small sample of what is out there in the web


Bau Bau is in the south east corner of Sulawesi, close to the islands of Wakatobi. It is a convenient stopover especially when coming south through the interesting Buton Channel.
Position 05° 27.17'S, 122° 36.42'E (anchorage)
No clearance is possible here.
The anchorage is off the very prominent KFC restaurant and good is once the anchor is set in sand and coral rubble in about 12m. Shelter is good from all directions, although the fetch is quite long to the north and could make it difficult to land. It is a popular anchorage with the few remaining sailing trading boats.
Landing can be made amongst the outrigger canoes at the nearby steps.
The town is close by with most services available, including water, laundry and a good market. Diesel is available at the fish dock about 1 mile to the west.
Mukmin is an excellent local contact who speaks good English and can be contacted on<PHONE_NUMBER>01 or email<EMAIL_ADDRESS>Last updated November 2013.


Requires lines to be under a certain max length.
Limiting the length of a line of code improves code readability. It also makes comparing code side-by-side easier and improves compatibility with various editors, IDEs, and diff viewers.
An integer indicating the max length of lines.
"max-line-length": [true, 120]
{
"type": "number"
}


SolidVC Subject
Home
Subject
Issuer
Verifier
Switch Accounts
Request
Share
Share Credential
Share From Computer
Share From URI
Upload Credential:
Provide Credential URI:
Provide Verifier ID:
Request Verifiable Credential
Select Credential Domain:
Select "General" if unsure
Education
Finance
General
Government
Health
Law
Medicine
Profession
Transportation
Travel
Select Credential Title:
Provide Credential Issuer ID:
Optional Credential Description


Hunter says she gets death threats for pics with dead animals, despite using meat to feed family
by Michael HollanNot everyone is a fan of this mom’s lifestyle.
A mother of three from New Zealand claims she has faced death threats for sharing pictures of her hunting trips, which often show her carrying an animal's carcass following a hunt. However, the woman, 29, says she and her family eat the animals they hunt because they're opposed to eating meat from a factory farm.
WEST VIRGINIA HUNTER TAKES DOWN 17-POINT BUCK AFTER TRACKING IT FOR 6 YEARS
Lucy Rose Jaine first started hunting when she met her partner, The Sun reports. Since then, she’s fallen in love with the outdoors. She and her family go hunting about five to eight times per month.
They mainly hunt wild pigs, but they’ll also hunt deer, goats, wallabies and other animals. She uses the animals that she kills to feed her family, explaining that she prefers not to rely on factory-farmed meat.
“I like that we can teach our children how to hunt their own food,” she told The Sun.
CLICK HERE TO SIGN UP FOR OUR LIFESTYLE NEWSLETTER
She explained that “hunting wild meat is ideal, organic and sustainable” and said that, in contrast with animals being raised on factory farms, the animals she hunts are “living a good life."

"It’s free, it’s fun and it helps the farmers," she said.
Jaine typically shares pictures of her hunting trips on Instagram, where she says she receives support from other outdoor enthusiasts. Unfortunately, that’s not all she receives.
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”I’ve had a few death threats from people who just don’t have any experience with hunting,” she said. “Or maybe they are against animal cruelty. But I don’t take it to heart. I just tell myself, ‘That person must be going through something in their own life and I can’t judge what I don’t understand.'
"We make sure we respect the animal in the process.”
Critics also seem to take issue with the photographs Jaine posts, which often show her carrying her kills after a successful hunt.
"Imagine posing with the animals you’ve just slaughtered," one commenter wrote underneath a photo of Jaine carrying a wild pig. "Pls can someone do this to her children?"
"Nothing funny about posing with dead animals," said another. This is why you receive hate, the kill shots, there's just no need for them, and perhaps don't go running to the papers crying about it too!"
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Jaine, meanwhile, said she simply tries to turn the other cheek.
“Some guy just said, ‘I hope you die.’ I obviously didn’t respond. I hope he finds happiness. Be kind, everyone on this earth is especially doing their best.”


Crux is a software toolkit for tandem mass spectrometry analysis. If you use Crux in your research, please cite
Christopher Y. Park, Aaron A. Klammer, Lukas Käll, Michael J. MacCoss and William Stafford Noble. "Rapid and accurate peptide identification from tandem mass spectra." Journal of Proteome Research. 7(7):3022-3027, 2008.For a more up-to-date description of Crux, please read
Sean McIlwain, Kaipo Tamura, Attila Kertesz-Farkas, Charles E. Grant, Benjamin Diament, Barbara Frewen, J. Jeffry Howbert, Michael R. Hoopmann, Lukas Käll, Jimmy K. Eng, Michael J. MacCoss and William Stafford Noble. "Crux: rapid open source protein tandem mass spectrometry analysis." Journal of Proteome Research. 13(10):4488-4491, 2014.Download Crux Toolkit Crux is provided as a single executable that supports the following commands:
Primary commands bullseye Assign high resolution precursor m/z values to MS/MS data using the Hardklör algorithm. tide-index Create an index of all peptides in a fasta file, for use in subsequent calls to tide-search
.tide-search Search a collection of spectra against a sequence database, provided either as a FASTA file or an index, returning a collection of peptide-spectrum matches (PSMs). This is a fast search engine, but it runs most quickly if provided with a peptide index built with tide-index
.cascade-search An iterative procedure for incorporating information about peptide groups into the database search and confidence estimation procedure. comet Search a collection of spectra against a sequence database, returning a collection of PSMs. This search engine runs directly on a protein database in FASTA format. percolator Re-rank and assign confidence estimates to a collection of PSMs using the Percolator algorithm. Optionally, also produce protein rankings using the Fido algorithm. q-ranker Re-rank a collection of PSMs using the Q-ranker algorithm. barista Rank PSMs, peptides and proteins, assigning a confidence measure to each identification. search-for-xlinks Search a collection of spectra against a sequence database, finding cross-linked peptide matches. spectral-counts Quantify peptides or proteins using one of three spectral counting methods. pipeline Given one or more sets of tandem mass spectra as well as a protein database, this command runs a series of Crux tools and reports all of the results in a single output directory. Utilities assign-confidence Assign statistical confidence measures to each PSM in a given set. generate-peptides Extract from a given set of protein sequences a list of target and decoy peptides fitting the specified criteria. get-ms2-spectrum Extract one or more fragmentation spectra, specified by scan number, from an MS2
file.hardklör Identify isotopic distributions from high-resolution mass spectra. make-pin Given a set of search results files, generate a pin file for input to crux percolator
predict-peptide-ions Given a peptide and a charge state, predict the m/z values of the resulting fragment ions. print-processed-spectra Process spectra as for scoring xcorr and print the results to a file. subtract-index Subtract an index file from another both generated by tide-index. It is used to create disjoint pepitde indexes. version Print the Crux version number to standard output, then exit. Utilities for processing tab-delimited text files extract-columns Print specified columns from a tab-delimited file. extract-rows Print specified rows from a tab-delimited file. stat-column Collect summary statistics from a column in a tab-delimited file. sort-by-column Sort a tab-delimited file by a column. File formats
bullseye tide-index tide-search comet percolator q-ranker barista search-for-xlinks spectral-counts MS1 in MS2 (sample) / CMS2 in/out in in in in in in in MGF in/out in in in in in in mzML, mzXML in in in in in in in in Thermo .raw files (Windows only) in in in in in in in Other proprietary vendor formats (Windows only) in in in in in FASTA (sample) in in in in in database index out in Tab-delimited text (sample) out out in/out in/out in/out out in/out pepXML out out in/out out out in PIN out in POUT out mzIdentML out out out in SQT out out in in in in Feature file in/out out Barista XML out Crux parameters (sample) in/out in/out in/out in/out in/out in/out in/out in/out in/out Tutorials
- Installation
- Getting started with Crux
- Running a simple search using Tide and Percolator
- Customization and search options
- Using spectral-counts
Important links
- Crux frequently asked questions
- A graphical user interface for the Crux search tools, as well as a variety of other search tools, is available through SearchGUI. The sister program, PeptideShaker provides a way to combine the results of multiple search engines in the analysis of a single data set.
- Crux Google Scholar profile
- To receive announcements of new versions, sign up for the Crux users mailing list.
- For support, and to discuss Crux with other users and the developers, sign up for the Crux users Google group.
- Follow the Crux project on Sourceforge. The "Issues" list on Sourceforge includes known bugs as well as planned new features.
- Access the most recent source code from the Crux main development trunk using the following Subversion command:
svn checkout svn://svn.code.sf.net/p/cruxtoolkit/code/crux/trunk crux-trunk
- Release notes.
- Crux is covered by an Apache license.
The original version of Crux was written by Chris Park and Aaron Klammer under the supervision of Prof. Michael MacCoss and Prof. William Stafford Noble in the Department of Genome Sciences at the University of Washington, Seattle. The complete list of contributors can be found here.
Maintenance and development of Crux is funded by the National Institutes of Health awards R01 GM096306 and P41 GM103533.
Please send comments and questions to<EMAIL_ADDRESS>or crux-users@googlegroups.com.


I graduated from WPI double majoring in robotics and mechanical engineering and minoring in computer science. I'm interested in mechanical design, mechatronics, and software development.  I believe in balance and work to improve myself and what I do in all areas.


WITNESS LIST Corrections Committee February 17, 2005-10:30A Invited Testimony On: Donoho, Sandra (State Auditors Office) Griffin M.D., James (Correctional Managed Healthcare Committee) Guerrero, Nicole (State Auditors Office) Hightower, Allen R. (Correctional Managed Healthcare Committee) White, Bonita (Community Justice Assistance Division/ CJAD) Wilson, Dee (TDCJ/Texas Correctional Office on Offenders with Medical and Mental Impairments) Public Testimony On: del Llano, Ann (A.C.L.U. of Texas) Delware, Mary (Self) DuFour, E. Generes "Doots" (Texas Catholic Correctional Ministers Catholic Diocese) Oester, Greg (Alanco Technologies, Inc.) Olsen, Brian (AFSCME/CEC7)


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