3 references to ParseCommandName
System.Management.Automation (3)
engine\GetCommandCommand.cs (1)
808
string plainCommandName = Utils.
ParseCommandName
(commandName, out moduleName);
engine\InitialSessionState.cs (1)
3020
string commandToMakeVisible = Utils.
ParseCommandName
(unresolvedCommand, out moduleName);
engine\remoting\fanin\InitialSessionStateProvider.cs (1)
2606
Utils.
ParseCommandName
(command, out moduleName);


'Israel Honors Jewish Terrorist'
05 Jun 2015On 28 May 2015, Israeli President Reuven Rivlin awarded Israel’s highest civilian award, the Medal of Distinction to Yosef Chaim Ben David.  On Israel’s Channel Two, Prime Minister Benjamin Netanyahu presented the award to Ben David reading aloud the Presidential order:
Decree for 2015. The President of the State of Israel; by the authority vested in us, and for the public good; we decree the following:
Paragraph 1: Fighter Yosef Chaim Ben David - the most recent prisoner of the revolution of modern Israel - is granted the Award of Medal of Distinction.
Paragraph 2: In appreciation for his pioneering role in the struggle, his sacrifice for his homeland and his people, and its revolution, and his willingness to give all of himself to the cause of Zionism..
Did you miss this story? Of course you did because it never happened! Israel did not celebrate Ben David’s terrorism but rather condemned it at every level both political and civilian. He was quickly tracked down by the Israeli police who arrested him and he was then put on trial for his brutal crime.
So why is the JPF reporting this? Because the exact same thing happened in the Palestinian Authority!
According to Palestinian Media Watch:
Last week, Palestinian Authority Chairman Mahmoud Abbas awarded terrorist Fatima Barnawi with the “Military Star of Honor.” Barnawi placed a bomb in a movie theater in Jerusalem in 1967 in an attempt to murder civilians. The bomb was discovered and Barnawi spent 10 years in Israeli prison.
Official PA TV News reported on the ceremony at which Abbas himself presented terrorist Barnawi with the honor. Tayeb Abdel Rahim, Secretary General of the Presidency, read aloud the Abbas’ Presidential Decree in honor of the terrorist:
“Decree for 2015. The President of the State of Palestine and acting Chairman of the PLO Executive Committee; by the authority vested in us, and for the public good; we decree the following:
Paragraph 1: Fighter Fatima Barnawi - the first female prisoner of the revolution of modern Palestine - is granted the Award of Military Star of Honor.
Paragraph 2: In appreciation for her pioneering role in the struggle,her sacrifice for her homeland and her people, and its revolution, and her willingness to give from the beginning until now…” [Official PA TV, May 28, 2015]
You can watch the video here:
In case you were to think that Barnawi is at least a “repentant” terrorist who realizes the error of her ways and now renounces violence, she was very clear in her 9 May 2015 interview:
All my life I had dreamed about it… We were supposed to place the explosives in the restroom or under one of the seats. I put them where we sat, near the middle [of the theater]… While we were leaving, the bomb was discovered. An American sitting behind us said: “The ladies forgot their bag.” The usher came to take the bag and found a ticking clock… They moved the people away and blew it up at the entrance…This is not a failure, because it generated fear throughout the world. Every woman who carries a bag needs to be checked before she enters the supermarket, any place, cinemas and pharmacies.
You can watch the video here:
This is actually the second time this year that Barnawi was celebrated by Abbas. On April 17, Prisoner’s Day, Barnawi was honored alongside other convicted terrorists. Apparently it wasn’t enough for Barnawi to be celebrated as one of many attempted Jew-killers, she needed her own
This story was not picked up by any mainstream press because, hey, why would it? It is easy to see how the above Israelified story would quickly make headlines around the world. It makes us think of the controversy surrounding the book The King’s Torah, which elicited condemnations both in Israel and around the world. The book is certainly controversial and prominent rabbis should have taken a little more time reading it before offering their support, but in the end, this was just a book dealing with how Halakha (Jewish Law) approaches war.
Apparently an abstract discussion of a theoretical occurrence within the bounds of religious law is more newsworthy than the President of an aspiring state, roundly celebrated as a moderate and a peace activist, publicly celebrating an unrepentant terrorist.
Don’t worry, the JPF has updated Barnawi’s Wikipedia entry (closely following their balance guidelines) so the whole world will know how much Abbas appreciates her peaceful activities.


A simple animation, automatically triggered. The images are backgrounds of the same container. next >


This document provides a brief introduction to using the statespacer package. It does so by showcasing the estimation of a Local Level model on the well known Nile data. See ?Nile
for more information about this dataset.
To start, let’s first introduce the Local Level model. Mathematically, this model can be represented as follows:
\[ \begin{aligned} y_t ~ &= ~ \mu_t ~ + ~ \varepsilon_t, ~~~~~~ \varepsilon_t ~ \sim ~ N(0, ~ \sigma_\varepsilon^2), \\ \mu_{t+1} ~ &= ~ \mu_t ~ + ~ \eta_t, ~~~~~~ \eta_t ~ \sim ~ N(0, ~ \sigma_\eta^2), \end{aligned} \]
where \(y_t\) is the dependent variable at time \(t\), \(\mu_t\) is the unobserved level at time \(t\), and \(\varepsilon_t\) and \(\eta_t\) are disturbances. This model has two parameters, \(\sigma_\varepsilon^2\) and \(\sigma_\eta^2\) that will be estimated by maximising the loglikelihood. In addition, the level \(\mu_t\) is a state parameter that will be estimated by employing the Kalman Filter. For extensive details about the algorithms employed, see Durbin and Koopman (2012).
Estimating this model using the statespacer package is simple. First, we load the data and extract the dependent variable. The dependent variable needs to be specified as a matrix, with each column being one of the dependents. In this case, we just have one column, as the Nile data comprises a univariate series.
# Load statespacer library(statespacer) # Load the dataset library(datasets) y <- matrix(Nile)
To fit a local level model, we simply call the statespacer()
function. See ?statespacer
for further details.
fit <- statespacer(y = y, local_level_ind = TRUE, initial = 0.5*log(var(y)), verbose = TRUE) #> Warning: Number of initial parameters is less than the required amount of #> parameters (2), recycling the initial parameters the required amount of times. #> Starting the optimisation procedure at: 2020-10-27 09:51:48 #> Parameter scaling:[1] 1 1 #> initial value 6.623273 #> iter 10 value 6.334646 #> final value 6.334646 #> converged #> Finished the optimisation procedure at: 2020-10-27 09:51:48 #> Time difference of 0.0339808464050293 secs
We get a warning message about the number of initial parameters, as we didn’t specify enough of them. We needed 2 initial parameters, but specified only 1. This is okay, as the function just replicates the specified parameters the required amount of times. This way, we don’t need to worry about how many parameters are needed. We could also specify too many initial parameters, in which case only the first few are used. This is particularly useful when we want random initial parameters. One could just simply specify initial = rnorm(1000)
, and not have to worry about if enough parameters were supplied.
Now, let’s check the estimated values of \(\sigma_\varepsilon^2\) and \(\sigma_\eta^2\).
c(fit$system_matrices$H$H, fit$system_matrices$Q$level) #> [1] 15100.252 1468.724
Note that we use the notation used in Durbin and Koopman (2012) for the system matrices. \(H\) being the system matrix for the variance - covariance matrix of the observation equation, and \(Q\) being the system matrix for the variance - covariance matrix of the state equation.
Checking out the estimated level is easy as well. The filtered level:
plot(1871:1970, fit$function_call$y, type = 'p', ylim = c(500, 1400), xlab = NA, ylab = NA, sub = "The filtered level with 90% confidence intervals, and the observed data points" ) lines(1871:1970, fit$filtered$level, type = 'l') lines(1871:1970, fit$filtered$level + qnorm(0.95) * sqrt(fit$filtered$P[1,1,]), type = 'l', col = 'gray' ) lines(1871:1970, fit$filtered$level - qnorm(0.95) * sqrt(fit$filtered$P[1,1,]), type = 'l', col = 'gray' )
And the smoothed level:
plot(1871:1970, fit$function_call$y, type = 'p', ylim = c(500, 1400), xlab = NA, ylab = NA, sub = "The smoothed level with 90% confidence intervals, and the observed data points") lines(1871:1970, fit$smoothed$level, type = 'l') lines(1871:1970, fit$smoothed$level + qnorm(0.95) * sqrt(fit$smoothed$V[1,1,]), type = 'l', col = 'gray' ) lines(1871:1970, fit$smoothed$level - qnorm(0.95) * sqrt(fit$smoothed$V[1,1,]), type = 'l', col = 'gray' )
The object returned by statespacer()
exhibits many other useful items. For more information about these items, please see vignette("dictionary", "statespacer")
. For more exhibitions of the statespacer package, please see the other tutorials on https://DylanB95.github.io/statespacer/ or browseVignettes("statespacer")
.


arcgis.raster.analytics module¶
Functions for calling the Raster Analysis Tools. The RasterAnalysisTools service is used by ArcGIS Server to provide distributed raster analysis.
get_datastores¶
-
analytics.
get_datastores
(gis=None)¶ Returns a helper object to manage raster analytics datastores in the GIS. If a gis isn’t specified, returns datastore manager of arcgis.env.active_gis
is_supported¶
-
analytics.
is_supported
(gis=None)¶ Returns True if the GIS supports raster analytics. If a gis isn’t specified, checks if arcgis.env.active_gis supports raster analytics
generate_raster¶
-
analytics.
generate_raster
(raster_function, function_arguments=None, output_raster_properties=None, output_name=None, gis=None)¶ raster_function : Required, see http://resources.arcgis.com/en/help/rest/apiref/israsterfunctions.html
function_arguments : Optional, for specifying input Raster alone, portal Item can be passed
output_raster_properties : Optional
- output_name : Optional. If not provided, an Image Service is created by the method and used as the output raster.
- You can pass in an existing Image Service Item from your GIS to use that instead. Alternatively, you can pass in the name of the output Image Service that should be created by this method to be used as the output for the tool. A RuntimeError is raised if a service by that name already exists
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
output_raster : Image layer item
interpolate_points¶
-
analytics.
interpolate_points
(input_point_features, interpolate_field, optimize_for='BALANCE', transform_data=False, size_of_local_models=None, number_of_neighbors=None, output_cell_size=None, output_prediction_error=False, output_name=None, gis=None)¶ This tool allows you to predict values at new locations based on measurements from a collection of points. The tool takes point data with values at each point and returns a raster of predicted values:
- An air quality management district has sensors that measure pollution levels. Interpolate Points can be used to
predict pollution levels at locations that don’t have sensors, such as locations with at-risk populations— schools or hospitals, for example.
Predict heavy metal concentrations in crops based on samples taken from individual plants.
- Predict soil nutrient levels (nitrogen, phosphorus, potassium, and so on) and other indicators (such as electrical
conductivity) in order to study their relationships to crop yield and prescribe precise amounts of fertilizer for each location in the field.
- Meteorological applications include prediction of temperatures, rainfall, and associated variables (such as acid
rain).
- input_point_features : Required point layer containing locations with known values
- The point layer that contains the points where the values have been measured.
- interpolate_field : Required string - field to interpolate
- Choose the field whose values you wish to interpolate. The field must be numeric.
- optimize_for : Optional string - Choose your preference for speed versus accuracy.
- More accurate predictions take longer to calculate. This parameter alters the default values of several other parameters of Interpolate Points in order to optimize speed of calculation, accuracy of results, or a balance of the two. By default, the tool will optimize for balance. One of the following: [‘SPEED’, ‘BALANCE’, ‘ACCURACY’]
- transform_data : Optional bool - Choose whether to transform your data to the normal distribution.
- Interpolation is most accurate for data that follows a normal (bell-shaped) distribution. If your data does not appear to be normally distributed, you should perform a transformation.
- size_of_local_models : Optional int - Size of local models
- Interpolate Points works by building local interpolation models that are mixed together to create the final prediction map. This parameter controls how many points will be contained in each local model. Smaller values will make results more local and can reveal small-scale effects, but it may introduce some instability in the calculations. Larger values will be more stable, but some local effects may be missed. The value can range from 30 to 500, but typical values are between 50 and 200.
- number_of_neighbors : Optional int - Number of Neighbors
- Predictions are calculated based on neighboring points. This parameter controls how many points will be used in the calculation. Using a larger number of neighbors will generally produce more accurate results, but the results take longer to calculate. This value can range from 1 to 64, but typical values are between 5 and 15.
- output_cell_size : Optional LinearUnit - Output cell size
- Enter the cell size and unit for the output rasters. The available units are Feet, Miles, Meters, and Kilometers.
- output_prediction_error : Optional bool - Output prediction error
- Choose whether you want to create a raster of standard errors for the predicted values. Standard errors are useful because they provide information about the reliability of the predicted values. A simple rule of thumb is that the true value will fall within two standard errors of the predicted value 95 percent of the time. For example, suppose a new location gets a predicted value of 50 with a standard error of 5. This means that this tool’s best guess is that the true value at that location is 50, but it reasonably could be as low as 40 or as high as 60. To calculate this range of reasonable values, multiply the standard error by 2, add this value to the predicted value to get the upper end of the range, and subtract it from the predicted value to get the lower end of the range.
- output_name : Optional. If not provided, an Image Service is created by the method and used as the output raster.
- You can pass in an existing Image Service Item from your GIS to use that instead. Alternatively, you can pass in the name of the output Image Service that should be created by this method to be used as the output for the tool. A RuntimeError is raised if a service by that name already exists
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
- dict with the following keys:
- “output_raster” : layer “output_error_raster” : layer “process_info” : layer
create_viewshed¶
-
analytics.
create_viewshed
(input_elevation_surface, input_observer_features, optimize_for=None, maximum_viewing_distance=None, maximum_viewing_distance_field=None, minimum_viewing_distance=None, minimum_viewing_distance_field=None, viewing_distance_is_3d=None, observers_elevation=None, observers_elevation_field=None, observers_height=None, observers_height_field=None, target_height=None, target_height_field=None, above_ground_level_output_name=None, output_name=None, gis=None)¶ Compute visibility for an input elevation raster using geodesic method.
input_elevation_surface : Required string
input_observer_features : Required FeatureSet
- optimize_for : Optional string
- One of the following: [‘SPEED’, ‘ACCURACY’]
maximum_viewing_distance : Optional LinearUnit
maximum_viewing_distance_field : Optional string
minimum_viewing_distance : Optional LinearUnit
minimum_viewing_distance_field : Optional string
viewing_distance_is_3d : Optional bool
observers_elevation : Optional LinearUnit
observers_elevation_field : Optional string
observers_height : Optional LinearUnit
observers_height_field : Optional string
target_height : Optional LinearUnit
target_height_field : Optional string
above_ground_level_output_name : Optional string
- output_name : Optional. If not provided, an Image Service is created by the method and used as the output raster.
- You can pass in an existing Image Service Item from your GIS to use that instead. Alternatively, you can pass in the name of the output Image Service that should be created by this method to be used as the output for the tool. A RuntimeError is raised if a service by that name already exists
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
- dict with the following keys:
- “output_raster” : layer “output_above_ground_level_raster” : layer
summarize_raster_within¶
-
analytics.
summarize_raster_within
(input_zone_layer, input_raster_layer_to_summarize, zone_field='Value', statistic_type='Mean', ignore_missing_values=True, output_name=None, gis=None)¶ - input_zone_layer : Required layer - area layer to summarize a raster layer within defined boundaries.
- The layer that defines the boundaries of the areas, or zones, that will be summarized. The layer can be a raster or feature data. For rasters, the zones are defined by all locations in the input that have the same cell value. The areas do not have to be contiguous.
- input_raster_layer_to_summarize : Required - raster layer to summarize.
- The raster cells in this layer will be summarized by the areas (zones) that they fall within.
- zone_field : Required string - field to define the boundaries. This is the attribute of the layer that will be used
- to define the boundaries of the areas. For example, suppose the first input layer defines the management unit boundaries, with attributes that define the region, the district, and the parcel ID of each unit. You also have a raster layer defining a biodiversity index for each location. With the field you select, you can decide to calculate the average biodiversity at local, district, or regional levels.
- statistic_type : Optional string - statistic to calculate.
- You can calculate statistics of any numerical attribute of the points, lines, or areas within the input area layer. The available statistics types when the selected field is integer are Mean, Maximum, Median, Minimum, Minority, Range, Standard deviation(STD), Sum, and Variety. If the field is floating point, the options are Mean, Maximum, Minimum, Range, Standard deviation, and Sum. One of the following: [‘Mean’, ‘Majority’, ‘Maximum’, ‘Median’, ‘Minimum’, ‘Minority’, ‘Range’, ‘STD’, ‘SUM’, ‘Variety’]
- ignore_missing_values : Optional bool.
- If you choose to ignore missing values, only the cells that have a value in the layer to be summarized will be used in determining the output value for that area. Otherwise, if there are missing values anywhere in an area, it is deemed that there is insufficient information to perform statistical calculations for all the cells in that zone, and that area will receive a null (NoData) value in the output.
- output_name : Optional. If not provided, an Image Service is created by the method and used as the output raster.
- You can pass in an existing Image Service Item from your GIS to use that instead. Alternatively, you can pass in the name of the output Image Service that should be created by this method to be used as the output for the tool. A RuntimeError is raised if a service by that name already exists
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
output_raster : Image layer item
calculate_density¶
-
analytics.
calculate_density
(input_point_or_line_features, count_field=None, search_distance=None, output_area_units=None, output_cell_size=None, output_name=None, gis=None)¶ Density analysis takes known quantities of some phenomenon and creates a density map by spreading these quantities across the map. You can use this tool, for example, to show concentrations of lightning strikes or tornadoes, access to health care facilities, and population densities.
This tool creates a density map from point or line features by spreading known quantities of some phenomenon (represented as attributes of the points or lines) across the map. The result is a layer of areas classified from least dense to most dense.
For point input, each point should represent the location of some event or incident, and the result layer represents a count of the incident per unit area. A larger density value in a new location means that there are more points near that location. In many cases, the result layer can be interpreted as a risk surface for future events. For example, if the input points represent locations of lightning strikes, the result layer can be interpreted as a risk surface for future lightning strikes.
For line input, the line density surface represents the total amount of line that is near each location. The units of the calculated density values are the length of line-per-unit area. For example, if the lines represent rivers, the result layer will represent the total length of rivers that are within the search radius. This result can be used to identify areas that are hospitable to grazing animals.
Other use cases of this tool include the following:
- Creating crime density maps to help police departments properly allocate resources to high crime areas.
- Calculating densities of hospitals within a county. The result layer will show areas with high and low accessibility to hospitals, and this information can be used to decide where new hospitals should be built.
- Identifying areas that are at high risk of forest fires based on historical locations of forest fires.
- Locating communities that are far from major highways in order to plan where new roads should be constructed.
- input_point_or_line_features : Required feature layer - The input point or line layer that will be used to calculate
- the density layer.
- count_field : Optional string - count field
- Provide a field specifying the number of incidents at each location. For example, if you have points that represent cities, you can use a field representing the population of the city as the count field, and the resulting population density layer will calculate larger population densities near cities with larger populations. If the default choice of None is used, then each location will be assumed to represent a single count.
- search_distance : Optional LinearUnit - Search distance
- Enter a distance specifying how far to search to find point or line features when calculating density values. For example, if you provide a search distance of 10,000 meters, the density of any location in the output layer is calculated based on features that are within 10,000 meters of the location. Any location that does not have any incidents within 10,000 meters will receive a density value of zero. If no distance is provided, a default will be calculated that is based on the locations of the input features and the values in the count field (if a count field is provided).
- output_area_units : Optional string - Output area units
- Specify the output area unit. Density is count divided by area, and this parameter specifies the unit of the area in the density calculation. The available areal units are Square Miles and Square Kilometers.
- output_cell_size : Optional LinearUnit - Output cell size
- Enter the cell size and unit for the output rasters.
- output_name : Optional. If not provided, an Image Service is created by the method and used as the output raster.
- You can pass in an existing Image Service Item from your GIS to use that instead. Alternatively, you can pass in the name of the output Image Service that should be created by this method to be used as the output for the tool. A RuntimeError is raised if a service by that name already exists
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
output_raster : Image layer item
classify¶
-
analytics.
classify
(input_raster, input_classifier_definition, additional_input_raster=None, output_name=None, gis=None)¶ input_raster : Required string
input_classifier_definition : Required string
additional_input_raster : Optional string
- output_name : Optional. If not provided, an Image Service is created by the method and used as the output raster.
- You can pass in an existing Image Service Item from your GIS to use that instead. Alternatively, you can pass in the name of the output Image Service that should be created by this method to be used as the output for the tool. A RuntimeError is raised if a service by that name already exists
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
output_raster : Image layer item
segment¶
-
analytics.
segment
(input_raster, spectral_detail='15.5', spatial_detail='15', minimum_segment_size_in_pixels='20', band_indexes='0, 1, 2', remove_tiling_artifacts='false', output_name=None, gis=None)¶ input_raster : Required string
spectral_detail : Required string
spatial_detail : Required string
minimum_segment_size_in_pixels : Required string
band_indexes : Required string
remove_tiling_artifacts : Required string
- output_name : Optional. If not provided, an Image Service is created by the method and used as the output raster.
- You can pass in an existing Image Service Item from your GIS to use that instead. Alternatively, you can pass in the name of the output Image Service that should be created by this method to be used as the output for the tool. A RuntimeError is raised if a service by that name already exists
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
output_raster : Image layer item
train_classifier¶
-
analytics.
train_classifier
(input_raster, input_training_sample_json, classifier_parameters, segmented_raster=None, segment_attributes='COLOR;MEAN', gis=None)¶ input_raster : Required string
input_training_sample_json : Required string
segmented_raster : Optional string
classifier_parameters : Required string
segment_attributes : Required string
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
output_classifier_definition
convert_feature_to_raster¶
-
analytics.
convert_feature_to_raster
(input_feature, output_cell_size, value_field=None, output_name=None, gis=None)¶ Creates a new raster dataset from an existing feature dataset. Any feature class containing point, line, or polygon features can be converted to a raster dataset. The cell center is used to decide the value of the output raster pixel. The input field type determines the type of output raster. If the field is integer, the output raster will be integer; if it is floating point, the output will be floating point.
input_feature : Required. The input feature layer to convert to a raster dataset.
- output_cell_size : Required LinearUnit. The cell size and unit for the output rasters.
- The available units are Feet, Miles, Meters, and Kilometers.
value_field : Optional string. The field that will be used to assign values to the output raster.
- output_name : Optional. The name of the layer that will be created in My Content.
- If not provided, an Image Service is created by the method and used as the output raster. You can pass in an existing Image Service Item from your GIS to use that instead. Alternatively, you can pass in the name of the output Image Service that should be created by this method to be used as the output for the tool. A RuntimeError is raised if a service by that name already exists
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
output_raster : Image layer item
convert_raster_to_feature¶
-
analytics.
convert_raster_to_feature
(input_raster, field='Value', output_type='Point', simplify_lines_or_polygons=True, output_name=None, gis=None)¶ This service tool converts imagery data to feature class vector data.
input_raster : Required string
- field : Optional string - field that specifies which value will be used for the conversion.
- It can be any integer or text value. A field containing floating-point values can only be used if the output is to a point dataset. The default choice is to use the Value field, which contains the value in each raster cell.
- output_type : Optional string
- One of the following: [‘Point’, ‘Line’, ‘Polygon’]
simplify_lines_or_polygons : Optional bool
- output_name : Optional. If not provided, an Feature layer is created by the method and used as the output .
- You can pass in an existing Feature Service Item from your GIS to use that instead. Alternatively, you can pass in the name of the output Feature Service that should be created by this method to be used as the output for the tool. A RuntimeError is raised if a service by that name already exists
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
output_features : Image layer item
copy_raster¶
-
analytics.
copy_raster
(input_raster, output_cellsize=None, resampling_method='NEAREST', clip_setting=None, output_name=None, gis=None)¶ input_raster : Required string
output_cellsize : Optional string
- resampling_method : Optional string
- One of the following: [‘NEAREST’, ‘BILINEAR’, ‘CUBIC’, ‘MAJORITY’]
clip_setting : Optional string
- output_name : Optional. If not provided, an Image Service is created by the method and used as the output raster.
- You can pass in an existing Image Service Item from your GIS to use that instead. Alternatively, you can pass in the name of the output Image Service that should be created by this method to be used as the output for the tool. A RuntimeError is raised if a service by that name already exists
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
output_raster : Image layer item


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BANCO EZE CHAMBERS, LEGAL PRACTITIONER AND PUBLIC NOTARY & HIGH COURT REPRESENTATIVE SUITE 202 OMEGA PLAZA, APAPA LAGOS -NIGERIA. Dear Sir/Ceo, It is obvious that this proposal will come to you as a suprise. This is because we have not met before but i am inspired to sending you thisemail by the huge fund transfer opportunity that will be of mutual benefit to the two of us. However, I am Barrister Banco Eze,the personal Attorney to the late Engr.Steve Moore a national of Isle of Man in UK, who used to work with Shell Petroleum Development Company(SPDC) in Nigeria. On the 21st of April 1996, my client,his wife And their three children were involved in a car accident along gamu/Lagos Express Road. Unfortunately they all lost their lives in the event of the accident, Since then I have made several enquiries to several Embassies to locate any of my clients extended relatives,this has also proved unsuccessful.After these several unsuccessful attempts,I decided to trace his relatives over the Internet to locate any member of his family but of no avail, hence I contacted you. I contacted you to assist in repartrating the money and property leftbehind by my client,I can easily convince the bank with my legal practice that you are the only surviving relation of my client. Otherwise the Estate he left behind will be confiscated or declared unserviceable by the bank where this huge deposits were lodged. Particularly, the Bank where the deceased had an account valued atabout $27million U.S dollars(twenty seven million U.S.Americadollars).Conseqently,The bank issued me a notice to provide the next of kin or have the account confiscated within the next ten official working days. since i have been unsuccesfull in locating the the relatives for overseveral years now.I seek your consent to present you as the next of kin of the deceased,so that the proceeds of this account valued at $27million U.Sdollars can be paid to your account and then you and me can share the money. 55%to me and 40% to you,while 5% should be for expenses or tax as your government may require.Your information such as below: 1.your full name 2.Resident Address 3.Telephone/Fax Numbers Is required for immedaite commence of this transaction. I have all necessary legal documents that can be used to back up anyclaim we may make. All I require is your honest cooperation to enable us see this deal through. I guarantee that this will be executed under alegitimate arrangementthat will protect you from any breach of the law.Please get in touch with me by my email<EMAIL_ADDRESS>to enable us discuss further. Yours Faithfully, Barrister banco Eze(Esq)


Welcome to the iFixit Repairability Dashboard! Here you can find the repairability scores of many devices that iFixit has analyzed. Click a score below to get started!
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ANNA KARENINA A film review by James Berardinelli Copyright 1997 James Berardinelli
RATING (0 TO 10): 5.5 Alternative Scale: ** out of ****
United States, 1997 U.S. Release Date: 5/2/97 (limited) Running Length: 1:48 MPAA Classification: PG-13 (Mature themes, sex) Theatrical Aspect Ratio: 2.35:1
Cast: Sophie Marceau, Sean Bean, Alfred Molina, Mia Kirshner, James Fox, Fiona Shaw Director: Bernard Rose Producer: Bruce Davey Screenplay: Bernard Rose based on the novel by Leo Tolstoy Cinematography: Daryn Okada Music: Tchaikovsky, Rachmaninoff, and Prokofiev U.S. Distributor: Warner Brothers
LEO TOLSTOY'S ANNA KARENINA, Bernard Rose's (IMMORTAL BELOVED) attempt to bring the great Russian novel to the screen, is, in its own way, as flawed and unsuccessful as its illustrious predecessors. As an unabashed fan of the novel, I have never been impressed by Hollywood's tepid attempts to film it. Even with luminaries like Greta Garbo and Vivien Leigh in the title role, the stripped-down story has barely resembled its inspiration, looking instead like an overplotted, costume melodrama. ANNA KARENINA is not unfilmable (a 10-part BBC mini-series made during the '70s was quite good), but, given the time constraints of a theatrical feature, it's next-to-impossible to make an effective adaptation. Rose's brave-but-disappointing attempt reinforces this belief. 400,000 words cannot be condensed into two hours.
The storyline for ANNA KARENINA is widely-known, so I won't spend much time recapping it here. The title character, Anna (Sophie Marceau) is a vibrant, young Russian noblewoman trapped in a passionless marriage with a much older man, Karenin (James Fox). She begins a disastrous love affair with a dashing army officer, Count Vronsky (Sean Bean). Ultimately, the liaison threatens to destroy four lives: Anna's, Karenin's, Vronsky's, and that of Anna's young son. This story unfolds in parallel with the less tragic ordeal of another Russian couple: brooding Konstantine Levin (Alfred Molina) and flighty Kitty Shcherbatsky (Mia Kirshner). Levin is desperately in love with Kitty, but she is indifferent to his attention, preferring instead to concentrate on men like Vronsky.
Rose's boldest stroke in this version is to leave in the Kitty/Levin subplot, rather than excising it (which is what happens in most adaptations). This decision is two-edged. While retaining Levin's story provides the overall tale with greater balance and depth, it eats up valuable time and dilutes the focus. What works in the book doesn't necessarily succeed on screen, and the result is a choppy and uneven motion picture. In fact, everything in ANNA KARENINA races by in a blur. Character development is almost nonexistent as time pressure forces Rose to push on without giving the audience an opportunity to digest what's happening or get into the protagonists' heads. There are times when ANNA KARENINA seems not like a filmed version of the Cliffnotes, but of the abridged Cliffnotes.
I have several casting quibbles, as well. French actress Sophie Marceau (BRAVEHEART) is a cool, regal beauty -- not the right type at all to play the hot-blooded, passionate Anna. Marceau is a good actress, but she's wrong for this role, and her icy rendering of Anna leaves viewers largely unconcerned about the fate of the character. Likewise, Mia Kirshner (EXOTICA) as Kitty and Alfred Molina (THE PEREZ FAMILY) as Levin are miscast. Kirshner's North American accent is out- of-place, and Molina never properly captures Levin's deep-rooted melancholy. Sean Bean (GOLDENEYE) fares somewhat better as Vronsky, although there are times when his performance is on the stiff side. The only truly successful job is turned in by James Fox (THE REMAINS OF THE DAY), who essays a sympathetic and entirely human Karenin.
Despite the problems with story, characterization, and acting, ANNA KARENINA is far from a complete bust. Visually, it's nothing less than stunning (with outside locations filmed in Russia) -- the most eye- catching motion picture since Kenneth Branagh's HAMLET. Ballroom interiors, landscapes, and even close-ups of faces leave the viewer entranced. At one point during the movie, when Karenin remarks, "There's so much splendor here. One's eyes are bedazzled," he might have been talking about the look of the film. The soundtrack, which features the work of Tchaikovsky, Rachmaninoff, and Prokofiev, is equally arresting.
Had the script for ANNA KARENINA matched the production values, this movie would have been a rousing success, but that's not the case. Once, near the very end, as a broken Vronsky reflects on what has transpired, the movie finally allows us to feel for a character, but, as the saying goes, it's too little, too late. LEO TOLSTOY'S ANNA KARENINA has its good points, but there's nothing here to warrant such an extravagant remake. For anyone who really wants to enjoy the story, with its rich characters, stimulating ideas, and wrenching tragedy, a copy of the paperback book should cost about as much as a movie ticket, and will provide a more lasting and worthwhile investment.
- James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Billie Eilish's The World's a Little Blurry Review
Date Yourself this Valentine's Day with Each Love Language
Let's Talk About the WandaVision Finale
A Beginner's Guide to Crystals
Dissecting the Fashion in this Year's Best Picture Nominees
Booksmart Review: A Love Letter to Best Friends and the Gen Z High School Experience
A24's COVID-19 Relief Auctions Press Release
Meet Aliana Bigio: Puerto Rico’s Trailblazing Feminist Sweetheart


A little deja vu is in order. The URLs we’ll talk to change and we don’t need to pass an ‘agent_type’ but you’ll find these functions look remarkably similar to their agent counterparts.


Hi {{fname}}, Please verify your email address
Hi {{fname}},
Welcome to Plan Do, the social action app!
Please follow the link below to confirm your email address.
{{verify_link}}
Thanks
The Plan Do Team


Copy and paste the stuff that appears inside the textarea between the hosts until some connection is established!


PSALMS 19
A psalm written by David for the choir director
1 When people look at everything that God has placed in the skies, they can see that he is very great;
they can see the great things that he has created.
2 Day after day it is as though the sun proclaims the glory of God,
and night after night it is as though the moon and stars say that they know that God made them.
3 They do not really speak;
they do not say any words.
There is no sound from them for anyone to hear.
4 But what they declare about God goes throughout the world,
and even people who live in the most distant places on earth can know it.
The sun is in the skies where God placed it;
5 it rises each morning like a bridegroom who is happy as he comes out of his bedroom after his wedding.
It is like a strong athlete who is very eager to start running in a race.
6 The sun rises at one side of the sky and goes across the sky and sets on the other side;
nothing can hide from its heat.
7 The instructions that Yahweh has given us are perfect;
they revive us.
We can be sure that the things that Yahweh has told us will never change,
and by learning them people who have not been previously taught will become wise.
8 Yahweh's laws are fair;
when we obey them, we become joyful.

What Yahweh has decreed is fair,
and it is always right.
10 The things that God has decided are more valuable than gold,
even the finest gold.
They are sweeter than honey
that drips from honeycombs.
11 Furthermore, by reading them I learn what things are good to do and what things are evil,
and they promise a great reward
to us who obey them.
12 But here is no one who can know all his errors;
so Yahweh, forgive me for these things which I do that I do not realize are wrong.
13 Keep me from doing things that I know are wrong;
do not let me keep doing the evil things I want to do.
If you do that, I will no longer be guilty for committing such sins,
and I will not commit the great sin of rebelling terribly against you.
14 O Yahweh, you are like a huge rock on top of which I can be safe; you are the one who protects me.
I hope that the things that I say and what I think will always please you.


GridColumn
ui.grid
Represents the viewModel for each column. Any state or methods needed for a Grid Column are defined on this prototype
GridColumn(colDef, uid, grid);
| Param | Type | Details |
|---|---|---|
| colDef | ColumnDef | the column def to associate with this column |
| uid | number | the unique and immutable uid we'd like to allocate to this column |
| grid | Grid | the grid we'd like to create this column in |
Gets the aggregation label from colDef.aggregationLabel if specified or by using i18n, including deciding whether or not to display based on colDef.aggregationHideLabel.
| Param | Type | Details |
|---|---|---|
| label | string | the i18n lookup value to use for the column label |
gets the aggregation value based on the aggregation type for this column. Debounced using scrollDebounce option setting
Returns the class name for the column
| Param | Type | Details |
|---|---|---|
| prefixDot | bool | if true, will return .className instead of className |
Returns the class definition for th column
Returns the render container object that this column belongs to.
Columns will be default be in the body
render container if they aren't allocated to one specifically.
Hides the column by setting colDef.visible = false
Returns true if column is in the left render container
Returns true if column is in the right render container
Sets a property on the column using the passed in columnDef, and setting the defaultValue if the value cannot be found on the colDef
| Param | Type | Details |
|---|---|---|
| colDef | ColumnDef | the column def to look in for the property value |
| propName | string | the property name we'd like to set |
| defaultValue | object | the value to use if the colDef doesn't provide the setting |
Makes the column visible by setting colDef.visible = true
Removes column from the grid sorting
Moves settings from the columnDef down onto the column, and sets properties as appropriate
| Param | Type | Details |
|---|---|---|
| colDef | ColumnDef | the column def to look in for the property value |
| isNew | boolean | whether the column is being newly created, if not we're updating an existing column, and some items such as the sort shouldn't be copied down |
Column name that will be shown in the header. If displayName is not provided then one is generated using the name.
field must be provided if you wish to bind to a
property in the data source. Should be an angular expression that evaluates against grid.options.data
array element. Can be a complex expression: employee.address.city
, or can be a function: employee.getFullAddress()
.
See the angular docs on binding expressions.
Filter on this column.
{ term: 'text', condition: uiGridConstants.filter.STARTS_WITH, placeholder: 'type to filter...', ariaLabel: 'Filter for text', flags: { caseSensitive: false }, type: uiGridConstants.filter.SELECT, [ { value: 1, label: 'male' }, { value: 2, label: 'female' } ] }
Filters for this column. Includes 'term' property bound to filter input elements.
[ { term: 'foo', // ngModel for <input> condition: uiGridConstants.filter.STARTS_WITH, placeholder: 'starts with...', ariaLabel: 'Filter for foo', flags: { caseSensitive: false }, type: uiGridConstants.filter.SELECT, selectOptions: [ { value: 1, label: 'male' }, { value: 2, label: 'female' } ] }, { term: 'baz', condition: uiGridConstants.filter.ENDS_WITH, placeholder: 'ends with...' } ]
(mandatory) each column should have a name, although for backward compatibility with 2.x name can be omitted if field is present


$GODOT_HEAD_INCLUDE
Play
HomePage
Play
Scores
About
Contact Info
HTML5 canvas appears to be unsupported in the current browser.
Please try updating or use a different browser.
Output:
Clear
Enter your name
×
Name


HTML form element
This test diagnoses
Issue #221
, a rendering bug for HTML
<form>
elements.
This should be hidden
Submit me please


Some patterns are unlikely to ever match. For instance, when matching depends on the implementation of the equals method.


The error has been logged and will be investigated. This is most likely a temporary problem, so please wait a moment and then refresh your page or use the back button to try again.
We apologise for the inconvenience.


March 21
Are Angels Just for Kids?
Are they not all ministering spirits, sent forth to minister for them who shall be heirs of salvation?
Hebrews 1:14
Most of us heard about our guardian angel when we were just children; and, in those days, it was a comforting thought. With monsters lurking behind the closet door and creepy things crawling beneath the bed, it was good to know that someone was there to protect us when the light was out.
But, as the years passed, we outgrew our childhood fears. The imaginary creatures that had once seemed so real disappeared from our minds--and sadly enough, for most of us, the angels did too.
But angels are not just kid stuff. They're powerful spirits sent forth to minister for us who are heirs of salvation.
The word salvation in Hebrews 1:14 is from the Greek word soteria meaning deliverance, preservation of material, and temporal deliverance. Think about that! God has created vast numbers of gloriously powerful spiritual beings for the express purpose of protecting us and delivering us from the evils of this world.
And remember, according to Psalm 103:20, the Word of God is what puts those angels in action. So when you're in trouble, don't cower and cry about how awful things are. Speak the Word! Give your angels something to respond to. Then be patient and let them have time to work. They'll get their job done.
Scripture Reading: Psalm 103:17-22


Fishermen rescued by port sea patrol team after boat capsized
10 fishermen have been rescued by the port sea patrol team in the early hours of Thursday, 14th November 2019.
The boat of the fishermen, christened Matthew 77 capsized following a wind storm at anchorage, which led to the seizure of the outboard motor of the fishing boat.
In attempts to refuel the boat, the strong winds turned them over along with the fuel and the 30 crates of fish they had captured during their expedition.
“The vessel by name MTETC Nefertari sent out a distress call at anchorage which was responded quickly by the team who rescued the fisher folks whose boat had capsized into the sea,” the Deputy Port Security Manager, Kingsley Darko narrated.
The Deputy Port Security Manager, Kingsley Darko reported that no fatalities were recorded and cautioned the fishing community to be watchful of the current weather conditions.
“They must also take account of the weather and the climatic condition around which they operate so that when they see the sea is turbulent or the wind is not friendly they must not go to the sea,” he cautioned.
He also encouraged the use of life jackets by all fisher folk who embark on fishing expeditions.
“The advice we want to send out there to our fishing community who are also our major stakeholders as far as the port’s enclave is concerned is that they must ensure that they take all the safety precautions.”


'No more apologies': Mother demands action over Shropshire maternity scandal
by Dominic RobertsonA mother who fought to force an inquiry into maternity services at the county's major hospitals has said families need action not apologies.
Without Kayleigh Griffiths and her husband Colin, the inquiry into maternity care at Shrewsbury & Telford NHS Hospital Trust (SaTH) would never have taken place.
In 2017 the couple were two of the four signatories on a letter to the-then Health Secretary Jeremy Hunt, outlining their concerns over 23 cases where babies had died or been seriously injured in the trust's care.
Kayleigh and Colin's daughter Pippa died on April 27, 2016, from a group b strep infection – the most common cause of meningitis in newborns.
See also:
She was only one day old.
At an inquest SaTH admitted failings in the information provided to Kayleigh, which could have prevented her newborn daughter's death.
The trust also accepted that had questions been asked when Mrs Griffiths raised concerns to a midwife over the phone then Pippa would have been taken to hospital, in all likelihood leading to her receiving treatment and surviving.
The letter was jointly prepared with Rhiannon and Richard Stanton-Davies, who had suffered a harrowing series of failings over the death of their own daughter Kate – and then a protracted battle for official acceptance of what had happened.
Their call sparked Mr Hunt into ordering an inquiry, which is being carried out by maternity expert Donna Ockenden. Earlier this week devastating details of parents' experiences were revealed when an interim report was leaked.
See also:
- Shropshire maternity scandal: NHS bosses 'failed to release' hundreds of records to inquiry team
- Shropshire maternity scandal: Babies and mothers died amid ‘toxic’ culture at NHS trust
- 'Staggering': Vital that lessons are learned over Shropshire maternity scandal, say lawyers
- Demand for answers over Britain's 'worst ever maternity scandal'
- Police considering criminal charges over Shropshire maternity scandal
In the wake of the details SaTH issued an unreserved apology and said it had already taken action to improve its services, before the findings of the inquiry are released.
However, it has emerged that patient records of around 400 potential cases have not been handed over to the inquiry team by SaTH and NHS England.
Responding to the leaked report Kayleigh said: "I think what she has come up with is exactly what we have all been saying the trust has been doing, which is obviously horrific and needs addressing.
"But then I would also say the trust has just released the same statement they have always done.
"We do not need another apology, we need them to release the notes, provide Donna Ockenden's team with what they need, when they ask for it and stop delaying.
"Because if it is true there are families out there that do not know what has happened and they need to be informed."
Kayleigh, 32, from north Shropshire, said that absolute transparency is needed over all cases.
She said: "I think they just need to say okay, we admit that it has been absolutely horrific and we are going to release everything."
Kayleigh also said that the apologies meant little when previous statements had come to nothing.
She said: "I think it was something like 21 days before Pippa died that Simon Wright (SaTH's previous chief executive) promised that something like that would never happen again when he was talking about Kate, then Pippa died and the same failures that happened to Kate happened to us.
"Pippa did not need to die. She could easily have been saved."
Kayleigh said that the ongoing inquiry has taken its toll, but said she would not stop until it had uncovered the truth about the state of SaTH's maternity services.
She said: "We will go for months when nothing happens and you carry on as much of a normal life as you can in the circumstances, then this will hit with little notice and you have to go through everything again and again and it is not something you can rest with, we have fought this far, we are not going to stop."
She added: "We have got trust in Donna. We would ask that NHS I help her, give her the resources and make sure the notes are released because that front has been extremely slow.
"We have got faith in her to do the babies, the mothers and the families justice."


This site uses your private keys only to broadcast the transaction to the scorum blockchain. In NO WAY it stores your private keys or transmits it elsewhere except the Scorum platform. The whole website is hosted on GitHub which is an open source platform and you can check the codes of this website to make sure that your keys are never misused. To view the codes of this site click the button below.
>
WIF Key :
Delegator :
Delegatee :
SP :
Note: This code doesn't store your key in any way. The code run locally on your PC and interacts with the Scorum blockahin and the key is used
only for signing the transactions.
If you are unsure of how to use this tool than see the Readme guide available on the Github here: https://github.com/rougebot95/Scorum-Voting-Bot
How to use:
1. In the "WIF Key" Field enter the private key of your account. 2. In the "Delegator" Field enter your Scorum username. 3. In the "Delegatee" Field enter the Scorum username to whom you want to delegate the SP. 4. In the "SP" Field enter the amount of Scorum Power [SP] you want to delegate to the delegatee account. 5. Enter '0' if you want to take your delegation back, please note that the SP will take 7 days to get back to your account.


{{< layout}} {{$propositionHeader}}{{/propositionHeader}} {{$pageTitle}}Apply for, renew or replace a UK passport{{/pageTitle}} {{$header}}
You can apply for a UK passport with a digital photo from a photo shop or booth.
This is a new service – it's only available for some applications. Before you access your photo, we'll check which type of application you're making.
Continue


This is a simple hero unit, a simple jumbotron-style component for calling extra attention to featured content or information.
  Borkf extremely cuuuuuute tungg doggo heckin good boys, tungg dat tungg tho.
Fluffer blep you are doin me a concern boof vvv ur givin me a spook shooberino, borking doggo pupperino heckin good boys and girls I am bekom fat. Much ruin diet ur givin me a spook aqua doggo very good spot what a nice.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.


Die roll percentage calculator
This web app will calculate the chance of rolling equal to or above every possible result, when rolling a given number of dice with a given number of sides per die.
A JavaScript applet for table-top gaming
This web app will calculate the chance of rolling equal to or above every possible result, when rolling a given number of dice with a given number of sides per die.


THE CLIENT:
THE PROBLEM: Marriott International’s new boutique brand Moxy Hotel caters to millennial business travelers. Their existing site, while aesthetically “cool”, offered no new features to appeal to their users. My team of three was tasked with:
1) Creating a responsive site that would work well on mobile, tablet, and desktop.
2) Catering to millennial international business travelers.
3) Generating ideas for hospitality features, and social means for guests in communal spaces to easily connect, while still respecting guests who prefer quiet and/or work spaces.
ROLE: Product Designer (Research, UX, User Testing, UI)
TIME FRAME: 2 Weeks
STEP 1: THE WHAT
STARTING POINT: What were the hotel's guests' expectations? What elements, both service and spaces, are common in hotels?
COMPETITIVE ANALYSIS: Taking a broader view of the hotel experience, we created several 2x2’s noting price, status, quality, amenities, etc. The result was a notable gap in the market for high quality, low frills, low cost lodging.
STEP 2: THE WHO
PERSONA GATHERING: The initial task was to uncover what our users wanted from their hotel experience. However, in order to do this, we had to seek out those millennials who traveled for business rather than just pleasure. This took the form of both surveys and interviews. In addition, my team and I went onsite to various boutique hotels in downtown Chicago which we deemed competitors during our competitive analysis. This was beneficial both in determining how the common spaces were laid out, and observing how the clientele interacted with those spaces. Based on the research three clear personas emerged:
Steve: The ambitious business traveler who works hard with no play. He needs a quiet place to work and prepare for meetings.
Eloise: The business traveler who takes on more long-term opportunities. She may stay in the same hotel for months and enjoys exploring whatever city she’s visiting.
Tanner: Another frequent business traveler who is more interested in socializing and meeting new people than work.
OVERVIEW: Our demographic have specific needs, like the need for WiFi (and free WiFi is even better), especially if the guest needs to work. The Moxy Hotel guests expect to be able to do what they want when they want. They expect self-service and value autonomy. The hotel experience would have to be pleasurable while still encouraging productivity.
RECOMMENDED SOLUTION: In the spirit of autonomy, hotel guests would know their room number in advance and have the ability to use their phone as a key to enter their room. They should also be able to check-in and checkout from their phone. Imagine, one could by-pass the front desk all together.
Content Evaluation: While the site looked great the bulk of the content did not meet the functional imperative. We thought the real estate could be better utilized.
STEP 3: THE HOW “LET'S GET CREATIVE”
MOBILE FIRST: Given the emphasis on self-service and our users being an active, tech-savvy bunch, we opted to place emphasis on the mobile site.
KEEP IT SIMPLE: In an attempt to mirror the minimalist ideals of Moxy, as UI designer I created a minimal yet informative layout in order to maximize screen real estate.
INITIAL TESTING: In usability testing, we prompted our users to find various parts of the site which they accomplished with great success. However, users would go to the hamburger menu as a ‘catch-all’ when unsure what to do next. This was not an issue as the menu offers a path to any category on the site.
Style Tile: The look and feel of the site was already in good shape, so I left it as-is.
THE RESULT
AMENITIES: We also needed to make sure guests were aware of all the amenities of the hotel including food-and-drink options, private workspaces, etc. In an effort to provide the utmost transparency and convenience, we opted to place this information directly on the homepage.
BOOKING A ROOM: We focused on details specific to our users, in particular the checkin/checkout process. Going back to our insight of self-service we wanted to make this process as simple as possible. If it was simple, it would reduce stress and increase productivity.
ROOM KEY: Most hotels insist your checking into at a front desk. But why? Our users value autonomy. With that we tell our user up front the room number they’ll have and even give them access to the room via digital key. Just come right in!
NEXT STEPS
ALL SHAPES AND SIZES: As this was a short 2 week turnaround only the mobile app was fully designed and tested. However, in addition to further testing the mobile we were interested in exploring the tablet/desktop versions and how their responsiveness effected their use for the on-the-go business traveling millennial. Lastly, each hotel room comes with a 42 inch flat screen TV. As some hotels offer a ‘hotel channel’, we thought is may be interesting to turn your screen into a personalized site when you enter the room, complete with all the information Moxy has to offer right when you enter the room.


@* * Copyright 2023 HM Revenue & Customs * * 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. *@ @import views.html.helper.CSPNonce @import uk.gov.hmrc.govukfrontend.views.html.{components => hmrcComponent} @import uk.gov.hmrc.govukfrontend.views.html.components.{toClasses => govukToClasses} @this(select: GovukSelect) @(form: Form[_], id: String, name: String, label: String, isPageHint: Boolean = true, isPageHeading: Boolean = true, isPageHintText: Boolean = true, headingMessageArgs: Seq[String] = Seq(), hint: String, hintText: String, countries: Seq[(String, String)])(implicit messages: Messages, requestHeader: RequestHeader)


James Leigh
July 2010
To create a mirrored PURL server you must have one DNS domain that can resolved to two different PURL servers. Setup the source PURL server with the given PURL domain and all the desired nested PURLs, then create the same PURL domain on the destination PURL server, but leave it empty.
Open the source PURL server and the destination PURL server is different browser windows. Navigate to view the source PURL domain in one window and edit the empty destination PURL domain in the other. Drag the mirror link in the source domain to the defined by field in the destination domain.
It
may taken any where from five to sixty minutes to mirror the source
domain depending on system resources and the size of the domain.
Once completed both the source and destination PURL servers can resolve the nested PURLs and will produce equivalent responses (same etag headers).


Trapped in a frozen moment. Turning like a fan, the moment repeated on the sound of the music, a syllable half uttered. I could see only blue, and a shadow. I was overwhelmed by horror that this perpetual dissatisfaction was all that was real. Life as a broken record. All that was and would ever be was the beginning of a sound, the half of a turn. I felt ashamed to have believed that the life I had been living was real, that I could be complete, could be aware on the level of full experience. That was not for me. I mourned the self I had once thought existed. Yet that such a life, a whole reality, could cease to exist even in thoughts so suddenly seemed wrong. It couldn't be so. I struggled to escape the inexorable rotation but was met only with ridicule from some unknown presence. I thought that I could escape the cycle? To whatever it was, I was a joke.
But I was desperate. There's always a way. This was no exception. I just had to think. How could I return to the fantasy world I had created? This reality was meaningless. Relief from it was the only reasonable thing to strive for. There was nothing but fantasy and the endless turning. Which would you pick? I put my mind to what was happening and I realized that I was not quite so small. I was more than a sound being made, more than a fan blade. I could see something now... it was me! I was a person! I was about to turn around and speak. This was progress. But still I ached for satisfaction. The pure physical sensation of completing the progression of a moment is something that cannot be appreciated until it is lost. I needed to complete the turn and leave the moment behind. But, wait. There was something behind what was happening. What was it called? Salvia... what is that? I needed to stop! I needed to feel this end! Wait. Wait. What was happening? Salvia? That's--
My vision zoomed back into my head. I returned to myself with a jolt. I was standing on my bed between a sign I stole from an eye wash station and an old lamp, supporting myself on the wall. I was staring at the blue wall. With some difficulty I ripped myself from it, scrambling away. I didn't want to get sucked in again! I groped around for the stereo remote and turned the music off. The beginning of the vocals was the moment that I had been trapped inside. (Though I later realized that what I then thought was singing was actually synth.)
I turned on the TV to calm myself down, then started to think. I recalled to myself who I was and that I had just smoked salvia. I tried to integrate what I had just experienced. I had ceased to exist for an indeterminate period of time. I had felt sensations and seen impressions, things for which I lacked words or the capacity to recall in any representative fashion. I thought back to before. What HAPPENED? I had taken a big hit of salvia and held it until I felt myself being wrenched out of reality, then I put the bong down... my memory stopped there. My lighter was in the middle of the floor. That was the only hint I had as to what had occurred, aside from the fact that I was up scrutinizing the wall when I came to. Whatever went down, I was glad to be back. I had just escaped a terrible death of monotony. How lucky I was to be real, to live, to be able to choose, to act. How blessed to be animate.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Returns the reference or object identifier of the selection as an external reference. Use SELECTION to return information about the current selection for use in other macro formulas.
Syntax
SELECTION( )
If a cell or range of cells is selected, Microsoft Excel returns the corresponding external reference.  The identifiers returned are the same as the identifiers you specify when you use the SELECT function. For a list of these identifiers, see the description of item_text in SELECT.
If you select cells and use the value returned by SELECTION in a function or operation, you usually get the value contained in the selection instead of its reference. References are automatically converted to the contents of the reference. If you want to work with the actual reference, use SET.NAME to assign a name to it, even if the reference refers to objects. See the last example following. You can also use the REFTEXT function to convert the reference to text, which you can then store or manipulate.
Remarks
If an object is selected, SELECTION returns the identifier of the object. If multiple objects are selected, it returns the identifiers of all the selected objects, as a string separated by commas.
If more than 1024 characters would be returned, SELECTION returns the #VALUE! error value.
Examples
If the sheet in the active window is named SHEET1 in the workbook BOOK1, and if A1:A3 is the selection, then:
SELECTION() equals [BOOK1]SHEET1!A1:A3
The following macro formula moves the current selection one row down:
SELECT(OFFSET(SELECTION(), 1, 0))
The above formula is particularly useful for moving incrementally through a database to add or modify records.
The following macro formula defines the name "EntryRange" on the active sheet to refer to one row below the current selection on the active sheet:
DEFINE.NAME("EntryRange", OFFSET(SELECTION(), 1, 0))
The following macro formula defines the name "Objects" on your macro sheet to refer to the object names in the current multiple selection:
SET.NAME("Objects", SELECTION())
Related Functions
ACTIVE.CELL Returns the reference of the active cell
SELECT Selects a cell, graphic object, or chart
Return to index


Team
Poptop is a small business started by collectors for collectors. Here at Poptop we know how to provide our customers with the best service. We have over five years of online retail experience and on top of that we are collectors ourselves. We started selling Pops on Amazon, eBay, and other major online marketplaces about a year ago. As collectors we didn't like the prices some items had to be sold at in order to cover fees and other expenses on the major marketplaces. We decided to start our own website to provide other collectors better more competitive prices than we previously could.
Sally - Website Manager
Claudia - Techninal Support
Ben - Sales Manager
Mary - Software engineer


The farm contains 130 cows where they are divided in ranches.The farmer will ba able to monitor the progress of the cows in each ranch
| Ranch1 | Ranch2 | Ranch3 | Ranch4 | |
|---|---|---|---|---|
| Number of cows | 35 | 25 | 30 | 40 |
| cost of producing
One litter of milk(Ksh) |
25 | 25 | 25 | 25 |
| Average milk per ranch | 100 | 120 | 150 | 180 |
The Ayrshire cattle are of very good behavior and temperament. They are most dominant, least attacked by their group-mates and least susceptible to group change. They are known for their hardiness and their ability to convert grass into milk efficiently. The breed’s strengths today are traits of easy calving and longevity. These cattle are very good for milk production as compared to their size. Milk production of a cow can reach 9,100 kg or greater per annum.
The Brown Swiss has one of the highest annual milk yields. The milk is high in both protein (around 3.5%) and butter fat (around 4%). This makes the breed an excellent choice for both milk and cheese producers. Indeed, Brown Swiss cattle produce the best fat to protein ratio of any dairy breed for most cheese production. Brown Swiss continue producing in the herd until they are 12 to 15 years old. They mature later than many other breeds and their inherent strength allows them to lead long, productive lives.
The Holstein Friesian breed is world-renowned for its unparalleled milk production value. Holsteins have an average lactation period of 305 days a year, with up to 18,000 liters of milk per lactation period. Their milk content is 3.82% fat and 3.21% protein. Top producing individuals, milked three times daily, have been known to produce over 30,000 kg of milk in a 365 day period. Holstein breeding are particularly fast growing, mature very early, and are easy to care for. When managed well, they have excellent fertility rates.
Jersey cows are outstanding milk producers, producing more milk per each pound of body weight than other types of bovines. The record for milk production by one cow is held by a Jersey. The Jersey produces more milk on less feed than other dairy breeds, eating about 80 percent of a Holstein's normal daily intake. Jersey cows have the longest productive life in the American dairy industry, generally about three years.


SUBROUTINE SLAQR0( WANTT, WANTZ, N, ILO, IHI, H, LDH, WR, WI, $ ILOZ, IHIZ, Z, LDZ, WORK, LWORK, INFO ) * * -- LAPACK auxiliary routine (version 3.1) -- * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. * November 2006 * * .. Scalar Arguments .. INTEGER IHI, IHIZ, ILO, ILOZ, INFO, LDH, LDZ, LWORK, N LOGICAL WANTT, WANTZ * .. * .. Array Arguments .. REAL H( LDH, * ), WI( * ), WORK( * ), WR( * ), $ Z( LDZ, * ) * .. * * Purpose * ======= * * SLAQR0 computes the eigenvalues of a Hessenberg matrix H * and, optionally, the matrices T and Z from the Schur decomposition * H = Z T Z**T, where T is an upper quasi-triangular matrix (the * Schur form), and Z is the orthogonal matrix of Schur vectors. * * Optionally Z may be postmultiplied into an input orthogonal * matrix Q so that this routine can give the Schur factorization * of a matrix A which has been reduced to the Hessenberg form H * by the orthogonal matrix Q: A = Q*H*Q**T = (QZ)*T*(QZ)**T. * * Arguments * ========= * * WANTT (input) LOGICAL * = .TRUE. : the full Schur form T is required; * = .FALSE.: only eigenvalues are required. * * WANTZ (input) LOGICAL * = .TRUE. : the matrix of Schur vectors Z is required; * = .FALSE.: Schur vectors are not required. * * N (input) INTEGER * The order of the matrix H. N .GE. 0. * * ILO (input) INTEGER * IHI (input) INTEGER * It is assumed that H is already upper triangular in rows * and columns 1:ILO-1 and IHI+1:N and, if ILO.GT.1, * H(ILO,ILO-1) is zero. ILO and IHI are normally set by a * previous call to SGEBAL, and then passed to SGEHRD when the * matrix output by SGEBAL is reduced to Hessenberg form. * Otherwise, ILO and IHI should be set to 1 and N, * respectively. If N.GT.0, then 1.LE.ILO.LE.IHI.LE.N. * If N = 0, then ILO = 1 and IHI = 0. * * H (input/output) REAL array, dimension (LDH,N) * On entry, the upper Hessenberg matrix H. * On exit, if INFO = 0 and WANTT is .TRUE., then H contains * the upper quasi-triangular matrix T from the Schur * decomposition (the Schur form); 2-by-2 diagonal blocks * (corresponding to complex conjugate pairs of eigenvalues) * are returned in standard form, with H(i,i) = H(i+1,i+1) * and H(i+1,i)*H(i,i+1).LT.0. If INFO = 0 and WANTT is * .FALSE., then the contents of H are unspecified on exit. * (The output value of H when INFO.GT.0 is given under the * description of INFO below.) * * This subroutine may explicitly set H(i,j) = 0 for i.GT.j and * j = 1, 2, ... ILO-1 or j = IHI+1, IHI+2, ... N. * * LDH (input) INTEGER * The leading dimension of the array H. LDH .GE. max(1,N). * * WR (output) REAL array, dimension (IHI) * WI (output) REAL array, dimension (IHI) * The real and imaginary parts, respectively, of the computed * eigenvalues of H(ILO:IHI,ILO:IHI) are stored WR(ILO:IHI) * and WI(ILO:IHI). If two eigenvalues are computed as a * complex conjugate pair, they are stored in consecutive * elements of WR and WI, say the i-th and (i+1)th, with * WI(i) .GT. 0 and WI(i+1) .LT. 0. If WANTT is .TRUE., then * the eigenvalues are stored in the same order as on the * diagonal of the Schur form returned in H, with * WR(i) = H(i,i) and, if H(i:i+1,i:i+1) is a 2-by-2 diagonal * block, WI(i) = sqrt(-H(i+1,i)*H(i,i+1)) and * WI(i+1) = -WI(i). * * ILOZ (input) INTEGER * IHIZ (input) INTEGER * Specify the rows of Z to which transformations must be * applied if WANTZ is .TRUE.. * 1 .LE. ILOZ .LE. ILO; IHI .LE. IHIZ .LE. N. * * Z (input/output) REAL array, dimension (LDZ,IHI) * If WANTZ is .FALSE., then Z is not referenced. * If WANTZ is .TRUE., then Z(ILO:IHI,ILOZ:IHIZ) is * replaced by Z(ILO:IHI,ILOZ:IHIZ)*U where U is the * orthogonal Schur factor of H(ILO:IHI,ILO:IHI). * (The output value of Z when INFO.GT.0 is given under * the description of INFO below.) * * LDZ (input) INTEGER * The leading dimension of the array Z. if WANTZ is .TRUE. * then LDZ.GE.MAX(1,IHIZ). Otherwize, LDZ.GE.1. * * WORK (workspace/output) REAL array, dimension LWORK * On exit, if LWORK = -1, WORK(1) returns an estimate of * the optimal value for LWORK. * * LWORK (input) INTEGER * The dimension of the array WORK. LWORK .GE. max(1,N) * is sufficient, but LWORK typically as large as 6*N may * be required for optimal performance. A workspace query * to determine the optimal workspace size is recommended. * * If LWORK = -1, then SLAQR0 does a workspace query. * In this case, SLAQR0 checks the input parameters and * estimates the optimal workspace size for the given * values of N, ILO and IHI. The estimate is returned * in WORK(1). No error message related to LWORK is * issued by XERBLA. Neither H nor Z are accessed. * * * INFO (output) INTEGER * = 0: successful exit * .GT. 0: if INFO = i, SLAQR0 failed to compute all of * the eigenvalues. Elements 1:ilo-1 and i+1:n of WR * and WI contain those eigenvalues which have been * successfully computed. (Failures are rare.) * * If INFO .GT. 0 and WANT is .FALSE., then on exit, * the remaining unconverged eigenvalues are the eigen- * values of the upper Hessenberg matrix rows and * columns ILO through INFO of the final, output * value of H. * * If INFO .GT. 0 and WANTT is .TRUE., then on exit * * (*) (initial value of H)*U = U*(final value of H) * * where U is an orthogonal matrix. The final * value of H is upper Hessenberg and quasi-triangular * in rows and columns INFO+1 through IHI. * * If INFO .GT. 0 and WANTZ is .TRUE., then on exit * * (final value of Z(ILO:IHI,ILOZ:IHIZ) * = (initial value of Z(ILO:IHI,ILOZ:IHIZ)*U * * where U is the orthogonal matrix in (*) (regard- * less of the value of WANTT.) * * If INFO .GT. 0 and WANTZ is .FALSE., then Z is not * accessed. * * ================================================================ * Based on contributions by * Karen Braman and Ralph Byers, Department of Mathematics, * University of Kansas, USA * * ================================================================ * References: * K. Braman, R. Byers and R. Mathias, The Multi-Shift QR * Algorithm Part I: Maintaining Well Focused Shifts, and Level 3 * Performance, SIAM Journal of Matrix Analysis, volume 23, pages * 929--947, 2002. * * K. Braman, R. Byers and R. Mathias, The Multi-Shift QR * Algorithm Part II: Aggressive Early Deflation, SIAM Journal * of Matrix Analysis, volume 23, pages 948--973, 2002. * * ================================================================ * .. Parameters .. * * ==== Matrices of order NTINY or smaller must be processed by * . SLAHQR because of insufficient subdiagonal scratch space. * . (This is a hard limit.) ==== * * ==== Exceptional deflation windows: try to cure rare * . slow convergence by increasing the size of the * . deflation window after KEXNW iterations. ===== * * ==== Exceptional shifts: try to cure rare slow convergence * . with ad-hoc exceptional shifts every KEXSH iterations. * . The constants WILK1 and WILK2 are used to form the * . exceptional shifts. ==== * INTEGER NTINY PARAMETER ( NTINY = 11 ) INTEGER KEXNW, KEXSH PARAMETER ( KEXNW = 5, KEXSH = 6 ) REAL WILK1, WILK2 PARAMETER ( WILK1 = 0.75e0, WILK2 = -0.4375e0 ) REAL ZERO, ONE PARAMETER ( ZERO = 0.0e0, ONE = 1.0e0 ) * .. * .. Local Scalars .. REAL AA, BB, CC, CS, DD, SN, SS, SWAP INTEGER I, INF, IT, ITMAX, K, KACC22, KBOT, KDU, KS, $ KT, KTOP, KU, KV, KWH, KWTOP, KWV, LD, LS, $ LWKOPT, NDFL, NH, NHO, NIBBLE, NMIN, NS, NSMAX, $ NSR, NVE, NW, NWMAX, NWR LOGICAL NWINC, SORTED CHARACTER JBCMPZ*2 * .. * .. External Functions .. INTEGER ILAENV EXTERNAL ILAENV * .. * .. Local Arrays .. REAL ZDUM( 1, 1 ) * .. * .. External Subroutines .. EXTERNAL SLACPY, SLAHQR, SLANV2, SLAQR3, SLAQR4, SLAQR5 * .. * .. Intrinsic Functions .. INTRINSIC ABS, INT, MAX, MIN, MOD, REAL * .. * .. Executable Statements .. INFO = 0 * * ==== Quick return for N = 0: nothing to do. ==== * IF( N.EQ.0 ) THEN WORK( 1 ) = ONE RETURN END IF * * ==== Set up job flags for ILAENV. ==== * IF( WANTT ) THEN JBCMPZ( 1: 1 ) = 'S' ELSE JBCMPZ( 1: 1 ) = 'E' END IF IF( WANTZ ) THEN JBCMPZ( 2: 2 ) = 'V' ELSE JBCMPZ( 2: 2 ) = 'N' END IF * * ==== Tiny matrices must use SLAHQR. ==== * IF( N.LE.NTINY ) THEN * * ==== Estimate optimal workspace. ==== * LWKOPT = 1 IF( LWORK.NE.-1 ) $ CALL SLAHQR( WANTT, WANTZ, N, ILO, IHI, H, LDH, WR, WI, $ ILOZ, IHIZ, Z, LDZ, INFO ) ELSE * * ==== Use small bulge multi-shift QR with aggressive early * . deflation on larger-than-tiny matrices. ==== * * ==== Hope for the best. ==== * INFO = 0 * * ==== NWR = recommended deflation window size. At this * . point, N .GT. NTINY = 11, so there is enough * . subdiagonal workspace for NWR.GE.2 as required. * . (In fact, there is enough subdiagonal space for * . NWR.GE.3.) ==== * NWR = ILAENV( 13, 'SLAQR0', JBCMPZ, N, ILO, IHI, LWORK ) NWR = MAX( 2, NWR ) NWR = MIN( IHI-ILO+1, ( N-1 ) / 3, NWR ) NW = NWR * * ==== NSR = recommended number of simultaneous shifts. * . At this point N .GT. NTINY = 11, so there is at * . enough subdiagonal workspace for NSR to be even * . and greater than or equal to two as required. ==== * NSR = ILAENV( 15, 'SLAQR0', JBCMPZ, N, ILO, IHI, LWORK ) NSR = MIN( NSR, ( N+6 ) / 9, IHI-ILO ) NSR = MAX( 2, NSR-MOD( NSR, 2 ) ) * * ==== Estimate optimal workspace ==== * * ==== Workspace query call to SLAQR3 ==== * CALL SLAQR3( WANTT, WANTZ, N, ILO, IHI, NWR+1, H, LDH, ILOZ, $ IHIZ, Z, LDZ, LS, LD, WR, WI, H, LDH, N, H, LDH, $ N, H, LDH, WORK, -1 ) * * ==== Optimal workspace = MAX(SLAQR5, SLAQR3) ==== * LWKOPT = MAX( 3*NSR / 2, INT( WORK( 1 ) ) ) * * ==== Quick return in case of workspace query. ==== * IF( LWORK.EQ.-1 ) THEN WORK( 1 ) = REAL( LWKOPT ) RETURN END IF * * ==== SLAHQR/SLAQR0 crossover point ==== * NMIN = ILAENV( 12, 'SLAQR0', JBCMPZ, N, ILO, IHI, LWORK ) NMIN = MAX( NTINY, NMIN ) * * ==== Nibble crossover point ==== * NIBBLE = ILAENV( 14, 'SLAQR0', JBCMPZ, N, ILO, IHI, LWORK ) NIBBLE = MAX( 0, NIBBLE ) * * ==== Accumulate reflections during ttswp? Use block * . 2-by-2 structure during matrix-matrix multiply? ==== * KACC22 = ILAENV( 16, 'SLAQR0', JBCMPZ, N, ILO, IHI, LWORK ) KACC22 = MAX( 0, KACC22 ) KACC22 = MIN( 2, KACC22 ) * * ==== NWMAX = the largest possible deflation window for * . which there is sufficient workspace. ==== * NWMAX = MIN( ( N-1 ) / 3, LWORK / 2 ) * * ==== NSMAX = the Largest number of simultaneous shifts * . for which there is sufficient workspace. ==== * NSMAX = MIN( ( N+6 ) / 9, 2*LWORK / 3 ) NSMAX = NSMAX - MOD( NSMAX, 2 ) * * ==== NDFL: an iteration count restarted at deflation. ==== * NDFL = 1 * * ==== ITMAX = iteration limit ==== * ITMAX = MAX( 30, 2*KEXSH )*MAX( 10, ( IHI-ILO+1 ) ) * * ==== Last row and column in the active block ==== * KBOT = IHI * * ==== Main Loop ==== * DO 80 IT = 1, ITMAX * * ==== Done when KBOT falls below ILO ==== * IF( KBOT.LT.ILO ) $ GO TO 90 * * ==== Locate active block ==== * DO 10 K = KBOT, ILO + 1, -1 IF( H( K, K-1 ).EQ.ZERO ) $ GO TO 20 10 CONTINUE K = ILO 20 CONTINUE KTOP = K * * ==== Select deflation window size ==== * NH = KBOT - KTOP + 1 IF( NDFL.LT.KEXNW .OR. NH.LT.NW ) THEN * * ==== Typical deflation window. If possible and * . advisable, nibble the entire active block. * . If not, use size NWR or NWR+1 depending upon * . which has the smaller corresponding subdiagonal * . entry (a heuristic). ==== * NWINC = .TRUE. IF( NH.LE.MIN( NMIN, NWMAX ) ) THEN NW = NH ELSE NW = MIN( NWR, NH, NWMAX ) IF( NW.LT.NWMAX ) THEN IF( NW.GE.NH-1 ) THEN NW = NH ELSE KWTOP = KBOT - NW + 1 IF( ABS( H( KWTOP, KWTOP-1 ) ).GT. $ ABS( H( KWTOP-1, KWTOP-2 ) ) )NW = NW + 1 END IF END IF END IF ELSE * * ==== Exceptional deflation window. If there have * . been no deflations in KEXNW or more iterations, * . then vary the deflation window size. At first, * . because, larger windows are, in general, more * . powerful than smaller ones, rapidly increase the * . window up to the maximum reasonable and possible. * . Then maybe try a slightly smaller window. ==== * IF( NWINC .AND. NW.LT.MIN( NWMAX, NH ) ) THEN NW = MIN( NWMAX, NH, 2*NW ) ELSE NWINC = .FALSE. IF( NW.EQ.NH .AND. NH.GT.2 ) $ NW = NH - 1 END IF END IF * * ==== Aggressive early deflation: * . split workspace under the subdiagonal into * . - an nw-by-nw work array V in the lower * . left-hand-corner, * . - an NW-by-at-least-NW-but-more-is-better * . (NW-by-NHO) horizontal work array along * . the bottom edge, * . - an at-least-NW-but-more-is-better (NHV-by-NW) * . vertical work array along the left-hand-edge. * . ==== * KV = N - NW + 1 KT = NW + 1 NHO = ( N-NW-1 ) - KT + 1 KWV = NW + 2 NVE = ( N-NW ) - KWV + 1 * * ==== Aggressive early deflation ==== * CALL SLAQR3( WANTT, WANTZ, N, KTOP, KBOT, NW, H, LDH, ILOZ, $ IHIZ, Z, LDZ, LS, LD, WR, WI, H( KV, 1 ), LDH, $ NHO, H( KV, KT ), LDH, NVE, H( KWV, 1 ), LDH, $ WORK, LWORK ) * * ==== Adjust KBOT accounting for new deflations. ==== * KBOT = KBOT - LD * * ==== KS points to the shifts. ==== * KS = KBOT - LS + 1 * * ==== Skip an expensive QR sweep if there is a (partly * . heuristic) reason to expect that many eigenvalues * . will deflate without it. Here, the QR sweep is * . skipped if many eigenvalues have just been deflated * . or if the remaining active block is small. * IF( ( LD.EQ.0 ) .OR. ( ( 100*LD.LE.NW*NIBBLE ) .AND. ( KBOT- $ KTOP+1.GT.MIN( NMIN, NWMAX ) ) ) ) THEN * * ==== NS = nominal number of simultaneous shifts. * . This may be lowered (slightly) if SLAQR3 * . did not provide that many shifts. ==== * NS = MIN( NSMAX, NSR, MAX( 2, KBOT-KTOP ) ) NS = NS - MOD( NS, 2 ) * * ==== If there have been no deflations * . in a multiple of KEXSH iterations, * . then try exceptional shifts. * . Otherwise use shifts provided by * . SLAQR3 above or from the eigenvalues * . of a trailing principal submatrix. ==== * IF( MOD( NDFL, KEXSH ).EQ.0 ) THEN KS = KBOT - NS + 1 DO 30 I = KBOT, MAX( KS+1, KTOP+2 ), -2 SS = ABS( H( I, I-1 ) ) + ABS( H( I-1, I-2 ) ) AA = WILK1*SS + H( I, I ) BB = SS CC = WILK2*SS DD = AA CALL SLANV2( AA, BB, CC, DD, WR( I-1 ), WI( I-1 ), $ WR( I ), WI( I ), CS, SN ) 30 CONTINUE IF( KS.EQ.KTOP ) THEN WR( KS+1 ) = H( KS+1, KS+1 ) WI( KS+1 ) = ZERO WR( KS ) = WR( KS+1 ) WI( KS ) = WI( KS+1 ) END IF ELSE * * ==== Got NS/2 or fewer shifts? Use SLAQR4 or * . SLAHQR on a trailing principal submatrix to * . get more. (Since NS.LE.NSMAX.LE.(N+6)/9, * . there is enough space below the subdiagonal * . to fit an NS-by-NS scratch array.) ==== * IF( KBOT-KS+1.LE.NS / 2 ) THEN KS = KBOT - NS + 1 KT = N - NS + 1 CALL SLACPY( 'A', NS, NS, H( KS, KS ), LDH, $ H( KT, 1 ), LDH ) IF( NS.GT.NMIN ) THEN CALL SLAQR4( .false., .false., NS, 1, NS, $ H( KT, 1 ), LDH, WR( KS ), $ WI( KS ), 1, 1, ZDUM, 1, WORK, $ LWORK, INF ) ELSE CALL SLAHQR( .false., .false., NS, 1, NS, $ H( KT, 1 ), LDH, WR( KS ), $ WI( KS ), 1, 1, ZDUM, 1, INF ) END IF KS = KS + INF * * ==== In case of a rare QR failure use * . eigenvalues of the trailing 2-by-2 * . principal submatrix. ==== * IF( KS.GE.KBOT ) THEN AA = H( KBOT-1, KBOT-1 ) CC = H( KBOT, KBOT-1 ) BB = H( KBOT-1, KBOT ) DD = H( KBOT, KBOT ) CALL SLANV2( AA, BB, CC, DD, WR( KBOT-1 ), $ WI( KBOT-1 ), WR( KBOT ), $ WI( KBOT ), CS, SN ) KS = KBOT - 1 END IF END IF * IF( KBOT-KS+1.GT.NS ) THEN * * ==== Sort the shifts (Helps a little) * . Bubble sort keeps complex conjugate * . pairs together. ==== * SORTED = .false. DO 50 K = KBOT, KS + 1, -1 IF( SORTED ) $ GO TO 60 SORTED = .true. DO 40 I = KS, K - 1 IF( ABS( WR( I ) )+ABS( WI( I ) ).LT. $ ABS( WR( I+1 ) )+ABS( WI( I+1 ) ) ) THEN SORTED = .false. * SWAP = WR( I ) WR( I ) = WR( I+1 ) WR( I+1 ) = SWAP * SWAP = WI( I ) WI( I ) = WI( I+1 ) WI( I+1 ) = SWAP END IF 40 CONTINUE 50 CONTINUE 60 CONTINUE END IF * * ==== Shuffle shifts into pairs of real shifts * . and pairs of complex conjugate shifts * . assuming complex conjugate shifts are * . already adjacent to one another. (Yes, * . they are.) ==== * DO 70 I = KBOT, KS + 2, -2 IF( WI( I ).NE.-WI( I-1 ) ) THEN * SWAP = WR( I ) WR( I ) = WR( I-1 ) WR( I-1 ) = WR( I-2 ) WR( I-2 ) = SWAP * SWAP = WI( I ) WI( I ) = WI( I-1 ) WI( I-1 ) = WI( I-2 ) WI( I-2 ) = SWAP END IF 70 CONTINUE END IF * * ==== If there are only two shifts and both are * . real, then use only one. ==== * IF( KBOT-KS+1.EQ.2 ) THEN IF( WI( KBOT ).EQ.ZERO ) THEN IF( ABS( WR( KBOT )-H( KBOT, KBOT ) ).LT. $ ABS( WR( KBOT-1 )-H( KBOT, KBOT ) ) ) THEN WR( KBOT-1 ) = WR( KBOT ) ELSE WR( KBOT ) = WR( KBOT-1 ) END IF END IF END IF * * ==== Use up to NS of the the smallest magnatiude * . shifts. If there aren't NS shifts available, * . then use them all, possibly dropping one to * . make the number of shifts even. ==== * NS = MIN( NS, KBOT-KS+1 ) NS = NS - MOD( NS, 2 ) KS = KBOT - NS + 1 * * ==== Small-bulge multi-shift QR sweep: * . split workspace under the subdiagonal into * . - a KDU-by-KDU work array U in the lower * . left-hand-corner, * . - a KDU-by-at-least-KDU-but-more-is-better * . (KDU-by-NHo) horizontal work array WH along * . the bottom edge, * . - and an at-least-KDU-but-more-is-better-by-KDU * . (NVE-by-KDU) vertical work WV arrow along * . the left-hand-edge. ==== * KDU = 3*NS - 3 KU = N - KDU + 1 KWH = KDU + 1 NHO = ( N-KDU+1-4 ) - ( KDU+1 ) + 1 KWV = KDU + 4 NVE = N - KDU - KWV + 1 * * ==== Small-bulge multi-shift QR sweep ==== * CALL SLAQR5( WANTT, WANTZ, KACC22, N, KTOP, KBOT, NS, $ WR( KS ), WI( KS ), H, LDH, ILOZ, IHIZ, Z, $ LDZ, WORK, 3, H( KU, 1 ), LDH, NVE, $ H( KWV, 1 ), LDH, NHO, H( KU, KWH ), LDH ) END IF * * ==== Note progress (or the lack of it). ==== * IF( LD.GT.0 ) THEN NDFL = 1 ELSE NDFL = NDFL + 1 END IF * * ==== End of main loop ==== 80 CONTINUE * * ==== Iteration limit exceeded. Set INFO to show where * . the problem occurred and exit. ==== * INFO = KBOT 90 CONTINUE END IF * * ==== Return the optimal value of LWORK. ==== * WORK( 1 ) = REAL( LWKOPT ) * * ==== End of SLAQR0 ==== * END


The Interface is loading, please wait. Make sure that open this page from the Trust Wallet and it points to the Main Ethereum Network.


Inside Innovation is a presentation series featuring the latest innovative technologies developed by UC San Diego researchers. This month’s presentation is titled “Analyzing Cardiac Blood Flow to Identify Patients at Increased Stroke Risk”.
For those new to meditation or those who have a regular practice, this workshop will give participants a sampling of different techniques under the skillful wisdom of a Master level teacher. View more dates and times »
Extensions of Photography highlights artistic practices by former and current UC San Diego-affiliated artists and alumni who redefined the photographic medium and contributed significantly to the cultural life of San Diego and the United States.
Join us for our upcoming engagement event series Thirsty Thursday, Foodie Friday and Sonic Saturday in conjunction with MISS YOU LIKE HELL, our current production. Each event will occur weekly through the run of the show (October 25-December 4)! View more dates and times »
At the Expedition at Sea: Sally Ride Gallery, Birch Aquarium guests experience life on a research vessel through a combination of science, art, and technology. View more dates and times »
A new lounge has opened at the Faculty Club featuring “Dante,” a brick oven that bakes pizza, barbecue chicken and other small plates at 600 degrees Fahrenheit. The lounge is open to the campus community this fall quarter, no membership required. View more dates and times »
Join us for Howard Barker’s “Scenes from an Execution,” a play confronting the contentious relationship between art and politics. View more dates and times »
Julio Friedmann of the Lawrence Livermore National Laboratory will share his extensive experience in collaborations and engagement in China, especially carbon capture and storage, followed by a conversation with GPS Professor David Victor.
Inside Innovation is a presentation series featuring the latest innovative technologies developed by UC San Diego researchers. This month’s presentation is titled “Analyzing Cardiac Blood Flow to Identify Patients at Increased Stroke Risk”.
For those new to meditation or those who have a regular practice, this workshop will give participants a sampling of different techniques under the skillful wisdom of a Master level teacher. View more dates and times »
Extensions of Photography highlights artistic practices by former and current UC San Diego-affiliated artists and alumni who redefined the photographic medium and contributed significantly to the cultural life of San Diego and the United States.
Join us for our upcoming engagement event series Thirsty Thursday, Foodie Friday and Sonic Saturday in conjunction with MISS YOU LIKE HELL, our current production. Each event will occur weekly through the run of the show (October 25-December 4)! View more dates and times »
At the Expedition at Sea: Sally Ride Gallery, Birch Aquarium guests experience life on a research vessel through a combination of science, art, and technology. View more dates and times »
A new lounge has opened at the Faculty Club featuring “Dante,” a brick oven that bakes pizza, barbecue chicken and other small plates at 600 degrees Fahrenheit. The lounge is open to the campus community this fall quarter, no membership required. View more dates and times »
Join us for Howard Barker’s “Scenes from an Execution,” a play confronting the contentious relationship between art and politics. View more dates and times »
At the Expedition at Sea: Sally Ride Gallery, Birch Aquarium guests experience life on a research vessel through a combination of science, art, and technology. View more dates and times »
Julio Friedmann of the Lawrence Livermore National Laboratory will share his extensive experience in collaborations and engagement in China, especially carbon capture and storage, followed by a conversation with GPS Professor David Victor.
A new lounge has opened at the Faculty Club featuring “Dante,” a brick oven that bakes pizza, barbecue chicken and other small plates at 600 degrees Fahrenheit. The lounge is open to the campus community this fall quarter, no membership required. View more dates and times »
Join us for Howard Barker’s “Scenes from an Execution,” a play confronting the contentious relationship between art and politics. View more dates and times »
Join us for our upcoming engagement event series Thirsty Thursday, Foodie Friday and Sonic Saturday in conjunction with MISS YOU LIKE HELL, our current production. Each event will occur weekly through the run of the show (October 25-December 4)! View more dates and times »


Built using Bootstrap, AngularJS, and MathJS.
Source code can be found here.
Licensed under The MIT License, 2017.


FADN 303: Web Design
USC Roski School of Art and Design
WEEK 1:
History of the Web
Aaron Siegel | | Spring 2016
Hypermedia
Time Sharing
ARPAnet
Early Networking
World Wide Web
Package Internet Experience
Browser History
Microsoft / Apple 1997 Deal
Resources
A Visual Browser History, from Netscape 4 to Mozilla Firefox
Nerds 2.0.1: Wiring the World
Nerds 2.0.1: Serving the Suits
Nerds 2.0.1: Networking the Nerds
World Wide Web Consortium
Internet Corporation for Assigned Names and Numbers
Wikipedia: Netscape
Wikipedia: Mozilla
Wikipedia: Safari
Wikipedia: Google Chrome


{% with widget=widget.subwidgets.0 %}{% include widget.template_name %}{% endwith %}
{% with widget=widget.subwidgets.1 %}{% include widget.template_name %}{% endwith %}
{% trans "Inherit" %}
{% with widget=widget.subwidgets.2 %}{% include widget.template_name %}{% endwith %}


@* * Copyright 2021 HM Revenue & Customs * * 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. *@ @import uk.gov.hmrc.tai.config.ApplicationConfig @import uk.gov.hmrc.tai.viewModels.IFormInProgressBannerViewModel @(viewModel: IFormInProgressBannerViewModel, appConfig: ApplicationConfig)(implicit messages: Messages) @viewModel.durationMessage.map { durationMessage =>
}


TwineJson results
Hierarchical JSON output (Whole tree)
Plain JSON output
{{text}}
There is a distant castle
long after the fores
up the hill.
{{/text}}
{{uncanny}}
true
{{/uncanny}}
[[Go to the bridge]]
{{text}}
You ran to the middle of the hall
{{/text}}
[[Run Away]]
[[Fight against him]]
Double-click this passage to edit it.
[[Get the sword form the floor!]]
[[Fight against him]]
[[Run away]]
[[Enter the gates]]
[[The emperor awaits]]
{{text}}
He strikes you in the head,
you are dead
{{/text}}
{{end}}
true
{{/end}}


Planet Fun
Enter Your birthday!
GO!


|
GNU Radio's FSO_COMM Package
|
Fog/Smoke Loss in FSO Channel. More...
#include <FogSmoke_Loss_ff.h>
Public Types | |
| typedef boost::shared_ptr< FogSmoke_Loss_ff > | sptr |
Public Member Functions | |
| virtual void | set_Wavelen (float Wavelen)=0 |
| Set fog/smoke loss wavelength. More... | |
| virtual float | Wavelen (void)=0 |
| Return current fogsmoke loss wavelength. More... | |
| virtual void | set_LinkLen (float LinkLen)=0 |
| Set fog/smoke loss link length. More... | |
| virtual float | LinkLen (void)=0 |
| Return current fog/smoke loss link length. More... | |
| virtual void | set_Vis (float Vis)=0 |
| Set fog/smoke loss visibility. More... | |
| virtual float | Vis (void)=0 |
| Return current fog/smoke loss visibility. More... | |
Static Public Member Functions | |
| static sptr | make (float Wavelen, float LinkLen, float Vis) |
| Make a FogSmoke Loss block. More... | |
Fog/Smoke Loss in FSO Channel.
The block uses Kim model to simulate the attenuation of fog/smoke in FSO channels based on visibility.
| typedef boost::shared_ptr<FogSmoke_Loss_ff> gr::FSO_Comm::FogSmoke_Loss_ff::sptr |
|
pure virtual |
Return current fog/smoke loss link length.
Implemented in gr::FSO_Comm::FogSmoke_Loss_ff_impl.
|
static |
Make a FogSmoke Loss block.
| Wavelen | optical beam wavelength (m) |
| LinkLen | FSO channel link length (m) |
| Vis | FSO channel visibility (m) |
|
pure virtual |
Set fog/smoke loss link length.
| LinkLen | FSO channel link length (m) |
Implemented in gr::FSO_Comm::FogSmoke_Loss_ff_impl.
|
pure virtual |
Set fog/smoke loss visibility.
| Vis | FSO channel visibility (m) |
Implemented in gr::FSO_Comm::FogSmoke_Loss_ff_impl.
|
pure virtual |
Set fog/smoke loss wavelength.
| Wavelen | optical beam wavelength (m) |
Implemented in gr::FSO_Comm::FogSmoke_Loss_ff_impl.
|
pure virtual |
Return current fog/smoke loss visibility.
Implemented in gr::FSO_Comm::FogSmoke_Loss_ff_impl.
|
pure virtual |
Return current fogsmoke loss wavelength.
Implemented in gr::FSO_Comm::FogSmoke_Loss_ff_impl.


{{vm.meeting.description}}
Please make not of the time and location of the meeting. Once you leave the page, it cannot be found again.


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