NEWS.md
rebuild
argument in the function julia_setup
. The argument controls whether to rebuild RCall.jl
, whose default value is FALSE
to save startup time. If a new version of R is used, then this parameter needs to be set to TRUE
.JuliaObject
, which frees the JuliaObject
on the Julia
side after it’s freed on the R side.engine.path
option for Julia
in RMarkdown document.Julia
knitr
engine to avoid use of knitr
internal functions.Julia
v0.7.JuliaCall
is now compatible with RCall.jl
v0.11.0 on Julia
v0.7.Pkg.build("RCall")
.Julia
v1.0.Julia
v0.7 and v1.0.JuliaCall
now should be usable on Julia
v0.7 and Julia
v1.0 with released version of RCall
.julia_source
on Julia
v0.7 and v1.0.julia_check
which is deprecated a long time ago.install
argument in julia_setup()
, setting it to FALSE
can reduce startup time when no installation or checking of dependent Julia
packages is needed.julia_console()
.R6
dependency to reduce overhead creating JuliaObject
.Julia
v0.7, currently need to use RCall#e59a546
with JuliaCall
on Julia
v0.7.Julia
v0.7.diff.JuliaObject
.JuliaObject
to that in native R.is.numeric
for JuliaObject
.c.JuliaObject
.install_dependency
not muted.julia_call
interface functions.sexp
, rcopy
and creation of JuliaObject
.julia$simple_call
interface which is a simple and more performant “equivalent” of the julia_call
interface.JuliaCall
from Rcpp
.as.vector.JuliaObject
.as.double.JuliaObject
.JuliaObject
supports multiple index.mean
, determinant
and solve
generics for JuliaObject
.c
and t
generics for JuliaObject
.aperm
, dim<-
and as.vector
generics for JuliaObject
.julia_setup(verbose = TRUE)
.need_return
argument to julia_eval
, now there is a possibility to return the result as an JuliaObject
, which is convenient for many use cases requiring an R object corresponding to a julia object.JuliaObject
.rep.JuliaObject
.JuliaObject
.assign!
to match behavior for assign in R and use it for JuliaObject
.JuliaPlain
idea to alleviate the problem that R dispatches only on the first argument, make ifelse
possible to work for JuliaObject
.JuliaCall
from julia and RCall.jl
.dim.JuliaObject
, is.array.JuliaObject
and is.matrix.JuliaObject
.autowrap
, which can generates automatic wrappers for julia
types.julia_docall
and julia_call
.JuliaObject
, especially in Rmd
documents. Fix #43.x$name
could be used to get access to field(x, name)
for JuliaObject
.RCall
checking.julia
issue #14577.JULIA_HOME
.julia_setup()
julia
engine in Rnw
files.JuliaCall
in rtichoke
.JuliaCall
requires Julia 0.6 as Julia 0.5 is now officially unmaintained.julia_setup()
any more, accelerate the startup time.julia_setup
.julia_setup()
fails to correctly load libjulia.dll if JULIA_HOME is not in path on windows.julia_eval_string
.JuliaCall
RMarkdown engine. The display system should work for all kinds of documents that RMarkdown supports.JuliaObject
, for more detail, see github issue #15, issue #12 and #13 are related.JuliaObject
, and fix many small bugs.fields
, field
and field<-
function for JuliaObjects.JuliaObject
. It’s lightweight, faster, and safer.plotsViewer()
, which integrates better into R.JuliaCall
, like removing deprecated functions.JuliaObject
, same Julia object could enter julia_object_dict only once. And the display of JuliaObject
becomes better. Also every common types of Julia Object could be wrapped by JuliaObject
.JuliaObject
type return value instead of R Object.julia_call
interface.julia_eval_string
is deprecated in favor of julia_eval
.JuliaObject
, which serves as a proxy in R for julia object, which is the automatic conversion target when other choices are not possible.julia_setup()
doesn’t need to be called first unless you want to force julia to restart or you need to set the julia path.julia.do_call
and julia_call
now accept keyword arguments.JuliaCall
works in Jupyter R notebook.JuliaCall
works in R Markdown. The display system currently only work for html document. When there is no return from julia function and there is a need to display, a div with class=‘JuliaDisplay’ will be inserted into the html document with the corresponding content.JuliaCall
.JuliaCall
is more consistent with julia.NEWS.md
file to track changes to the package.julia_assign
which can assign a value to a name in julia with automatic type conversion.julia_check
.julia_console
. Now there is a fully functional julia repl in R terminal, and a usable julia console when you use IDE for R.julia_setup
, there is an option whether or not to use RCall.jl, RCall’s R REPL mode and rgui will be set correctly.


I've always had a laundry list of drugs that I'll never try: PCP, ketamine, crystal meth and crack. With the exclusion of those 4, I've always been up for anything. I've been taking Wellbutrin (an SSRI)
[Editor's note: Bupropion (Wellbutrin) is not generally classified as an SSRI because it has only weak SSRI activity] for the past 7 years, but had not been taking it regularly at the time of the experience for about 2 years. The mix of drugs that I was doing, the adderall, the coke, the diet pills, the alcohol, the weed, and the ecstasy, I'd done before and while the mixture had made me extremely edgy, I didn't feel any overtly negative side effects.
This particular night, I was hanging out with a friend of mine who had just returned from being out of the country for 3 weeks. I had also decided that it was time for me to start taking my anti-depressant again. I knew that the combination of Wellbutrin and alcohol could cause seizures, but had been drinking heavily on Wellbutrin since I was 18 and besides blacking out a few times (which arguably is something that happens when you go off to college and are away from you parents for the first time ever), I had never had a negative experience.
My friend and I started drinking our wine and doing lines when I saw him take a pill out of his drawer and I asked him what it was. 'ecstasy. you want one?' he said. This guy is careful, he has a test kit and thoroughly inspects everything he buys, so I knew that I was getting something safe from him. But being the reckless person that I am, I never considered that it could be hazardous to take with Wellbutrin. Once the ecstasy started to kick in, I totally lost control. I was talking about everything, having auditory hallucinations and felt really really uncomfortable with what was going on in my mind.
The next thing I remember is waking up with my friend leaning over me saying, 'I thought I'd lost you.' I asked him what happened, and he told me that I'd started shaking and stopped breathing. I've always assumed that this was a seizure, and have since done a little research on the internet on the affects of mixing ecstasy with an SSRI and think that I'm correct in this assumption.
My experience hasn't caused me to stop taking drugs, but it has taught me to look into the safety of mixing more carefully. I wanted to share this experience because I don't think there is nearly enough information available pertaining to combining ecstasy with SSRI's. I'm taking Wellbutrin regularly now and since that night have not touched ecstasy and will not do it again. Mix Carefully!!
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.


tbl_survival.survfit.Rd
Function takes a survfit
object as an argument, and provides a
formatted summary of the results
# S3 method for survfit tbl_survival(x, times = NULL, probs = NULL, label = ifelse(is.null(probs), "{time}", "{prob*100}%"), level_label = "{level}, N = {n}", header_label = NULL, header_estimate = NULL, failure = FALSE, missing = "-", estimate_fun = NULL, ...)
| x | A survfit object with a no stratification
(e.g. |
|---|---|
| times | Numeric vector of times for which to return survival probabilities. |
| probs | Numeric vector of probabilities with values in (0,1) specifying the survival quantiles to return |
| label | String defining the label shown for the time or prob column.
Default is |
| level_label | Used when survival results are stratified.
It is a string defining the label shown. The input uses
glue::glue notation to convert the string into a label.
The default is |
| header_label | String to be displayed as column header.
Default is |
| header_estimate | String to be displayed as column header of the Kaplan-Meier
estimate. Default is |
| failure | Calculate failure probabilities rather than survival probabilities.
Default is |
| missing | String indicating what to replace missing confidence
limits with in output. Default is |
| estimate_fun | Function used to format the estimate and confidence
limits. The default is |
| ... | Not used |
A tbl_survival
object
The level_label
is used to modify the stratum labels. The default is
level_label = "{level}, N = {n}"
. The quantities in the curly
brackets evaluate to stratum-specific values. For example, in the trial
data set, there is a column called trt
with levels 'Drug' and 'Placebo'.
In this example, {level}
would evaluate to either 'Drug' or 'Placebo'
depending on the stratum. Other quantities available to print are:
{level}
level of the stratification variable
{level_label}
label of level for the stratification variable
{n}
number of observations, or number within stratum
{n.event.tot}
total number of events (total across stratum, if applicable)
{n.event.strata}
total number of events within stratum, if applicable
{strata}
raw stratum specification from survfit
object
Example 1
Example 2
Other tbl_survival tools: inline_text.tbl_survival
,
modify_header
library(survival) fit1 <- survfit(Surv(ttdeath, death) ~ trt, trial) tbl_strata_ex1 <- tbl_survival(fit1, times = c(12, 24), label = "{time} Months" ) fit2 <- survfit(Surv(ttdeath, death) ~ 1, trial) tbl_nostrata_ex2 <- tbl_survival(fit2, probs = c(0.1, 0.2), header_estimate = "**Months**" )


Tweaking Centrarium Theme
by Choong-il Ryu
Basic Site Setting
Change site setting in /_config.yml
per your setting.
Centrarium’s defalut base_url
was /centrarium
, which makes me to use http://localhost/centrarium:4000
instead of http://localhost:4000
or http://ryuci.github.io/centrarium
instead of http://ryuci.github.io
.
I don’t like it and changed base_url
to blank.
Activate Commenting
If you want your post to get comments, enable Disqus feature as follows in /_config.yml
. ryuci0225
is my Discus username and you should change it to yours.
Then, go to Disqus site, and login Create a new site.
TBD
Working with Draft
Read Working with Draft.
Add Image Caption
figure crashes to highlight so change figure to figure2 in css and JS Read Figure caption for images on Jekyll sites - single line with Markdown.
Add Google Map
Read Jekyll Maps. Note that this plugin does not support by gitpage, it won’t build when you push the source. To workaround this, you need to build it locally and push the static site files. Remove … in .gitignore as follows.
Add Menu
MathJax
Read [Using Math Expressions in Your Jekyll Blog][Using Math].
Change Ruby Version
Change version info in /circle.yml
per your setting.
Insert Google Map
- List item 1
-
List item 2
ruby def i_am_highlighted puts "Hello, I am highlighted!" end
- List item 3
Syntax Highlighting
Read HighlightJS demo.
References
Subscribe via RSS


#include <RFileMgr.h>
Public Types | |
| typedef unsigned int | Flags |
Public Member Functions | |
| RFileMgr (const UPath &rootPath) | |
| class RFileMgr | |
| ~RFileMgr () | |
| URef< RFile > | GetFile (const UPath &path, Flags flags) |
| get a file. | |
| bool | Exists (const UPath &relativeFilePath) |
| returns true if the file specified exists. | |
| void | CreateDir (const UPath &dirPath, bool relative=true) |
| void | GetDirListing (std::vector< UPath > *files, std::vector< UPath > *folders, const UPath &relativeDirPath) |
| directory management. | |
| bool | CopyFile (const UPath &dstPath, const UPath &srcPath) |
| file copy. | |
| const UPath & | GetRootPath () const |
| get the workinf folder. | |
Static Public Attributes | |
| static const unsigned int | kFlagCreateAlways = FS_FILE_FLAG_CREATE_ALWAYS |
| static const unsigned int | kFlagOpenAlways = FS_FILE_FLAG_OPEN_ALWAYS |
| static const unsigned int | kFlagRead = FS_FILE_FLAG_READ |
| static const unsigned int | kFlagWrite = FS_FILE_FLAG_WRITE |
| static const unsigned int | kFlagContiguous = FS_FILE_FLAG_CONTIGUOUS |
| static const unsigned int | kFlagDMA = FS_FILE_FLAG_USE_DMA |
| static const unsigned int | kFlagReadWrite = kFlagRead | kFlagWrite |
| static const unsigned int | kFlagWriteReorder = FS_FILE_WRITE_REORDER |
Definition at line 30 of file RFileMgr.h.
| typedef unsigned int RFileMgr::Flags |
Definition at line 33 of file RFileMgr.h.
| RFileMgr::RFileMgr | ( | const UPath & | rootPath | ) |
| RFileMgr::~RFileMgr | ( | ) |
Definition at line 35 of file RFileMgr.cpp.
file copy.
calculate the paths.
open the source file.
open the destination file.
make sure the source file isn't too big.
copy the data.
return true to indicate success.
Definition at line 297 of file RFileMgr.cpp.
| void RFileMgr::CreateDir | ( | const UPath & | dirPath, | |
| bool | relative = true | |||
| ) |
recursive directory creation. possibly should allow specifying base path also when relative?
Definition at line 233 of file RFileMgr.cpp.
| bool RFileMgr::Exists | ( | const UPath & | relativeFilePath | ) |
returns true if the file specified exists.
determine the full path name.
check to see if the file exists.
if we got here, then the file exists and therefor we should return true.
Definition at line 212 of file RFileMgr.cpp.
| void RFileMgr::GetDirListing | ( | std::vector< UPath > * | files, | |
| std::vector< UPath > * | folders, | |||
| const UPath & | relativeDirPath | |||
| ) |
directory management.
reserve some memory in our vector to keep from having to reallocate all the time.
build a full path if a relative path was specified.
get all child directories.
skip anything we shouldn't list.
close the file find.
Definition at line 255 of file RFileMgr.cpp.
get a file.
public methods
block until we can get at the file we need.
determine the full path name.
check to see if the file is already loaded.
Try to open the file. If we can't, simply return null.
free the gate.
return null.
create the file wrapper.
register the file with our internal database.
get the file.
check the file's creation flags. Try to reopen the file if needed.
adjust the flags to account for the additional access.
close the existing file and re-open it.
reset the file with the new file information.
free the gate.
return the file.
Definition at line 95 of file RFileMgr.cpp.
| const UPath& RFileMgr::GetRootPath | ( | ) | const [inline] |
const unsigned int RFileMgr::kFlagContiguous = FS_FILE_FLAG_CONTIGUOUS [static] |
Definition at line 38 of file RFileMgr.h.
const unsigned int RFileMgr::kFlagCreateAlways = FS_FILE_FLAG_CREATE_ALWAYS [static] |
Definition at line 34 of file RFileMgr.h.
const unsigned int RFileMgr::kFlagDMA = FS_FILE_FLAG_USE_DMA [static] |
Definition at line 39 of file RFileMgr.h.
const unsigned int RFileMgr::kFlagOpenAlways = FS_FILE_FLAG_OPEN_ALWAYS [static] |
Definition at line 35 of file RFileMgr.h.
const unsigned int RFileMgr::kFlagRead = FS_FILE_FLAG_READ [static] |
Definition at line 36 of file RFileMgr.h.
const unsigned int RFileMgr::kFlagReadWrite = kFlagRead | kFlagWrite [static] |
Definition at line 40 of file RFileMgr.h.
const unsigned int RFileMgr::kFlagWrite = FS_FILE_FLAG_WRITE [static] |
Definition at line 37 of file RFileMgr.h.
const unsigned int RFileMgr::kFlagWriteReorder = FS_FILE_WRITE_REORDER [static] |
Definition at line 41 of file RFileMgr.h.


--- layout: frontmatter title: Ambient Intelligence 2015 active: Home ---
The course aims at describing the field of Ambient Intelligence (AmI), outlining its multi-disciplinary nature and its technology and application areas. The evolution of consumer electronic technologies, of wireless networks, of sensors and the ability to represent and process knowledge and data on a large scale, nowadays allow the conception of intelligent environments able to handle, in an optimal way, energy-related variables, comfort, safety and user interaction. Such scenarios spur a variety of solutions, ranging from smart homes to smart buildings, from smart cities to smart transportation systems. Special emphasis, on the course, will be devoted to design-related aspects and on the overall hardware-software architectures, besides reviewing the involved technologies. This will enable the conception and realization of reusable and interoperable solutions. The course will include some seminars given by industry experts.
Writing system specifications and high-level design of an ambient intelligence system, starting from its functional and behavioral requirements. Realization of intelligent scenarios over real smart environments.
Technologies involved in the design and realization of intelligent environments, at the various architectural levels (sensors, domotic networks, wireless sensor networks, residential gateways, stream data processing, big data analysis, user interfaces). Application of user-driven design methodologies.
Students are required to engage in design and implementation of real-world intelligent environments. They are required to team-up around project ideas individually proposed and socially ranked. Teams are composed by 3 students on average, and select the project to carry-on throughout the course. Final outcomes are publicly reachable (see below for current projects).
Learn more about the course by visiting http://bit.ly/polito-ami.
Video lectures are freely available on a dedicated YouTube playlist and on the teaching portal of the Politecnico di Torino.
{{ post.content}} Read more...
{{ post.content}} Read more...
{{ post.content}} Read more...
{{ post.content}} Read more...


{{ define "main" }}
{{ .Content }}
{{/* Define a section to pull recent posts from. For Hugo 0.20 this will default to the section with the most number of pages. */}}
{{ $mainSections := .Site.Params.mainSections | default (slice "post") }}
{{/* Create a variable with that section to use in multiple places. */}}
{{ $section := where .Site.RegularPages "Section" "in" $mainSections }}
{{/* Check to see if the section is defined for ranging through it */}}
{{ $section_count := len $section }}
{{ if ge $section_count 1 }}
{{/* Derive the section name */}}
{{ $section_name := index (.Site.Params.mainSections) 0 }}
{{/* Use $section_name to get the section title. Use "with" to only show it if it exists */}}
{{ with .Site.GetPage "section" $section_name }}
{{ end }}
{{ $n_posts := $.Param "recent_posts_number" | default 3 }}
{{/* Range through the first $n_posts items of the section */}}
{{ range (first $n_posts $section) }}
{{ partial "summary-with-image.html" . }}
{{ end }}
{{ if ge $section_count (add $n_posts 1) }}
{{ i18n "more" }}
{{/* Now, range through the next four after the initial $n_posts items. Nest the requirements, "after" then "first" on the outside */}}
{{ range (first 4 (after $n_posts $section)) }}
{{ end }}
{{/* As above, Use $section_name to get the section title, and URL. Use "with" to only show it if it exists */}}
{{ with .Site.GetPage "section" $section_name }}
{{ i18n "allTitle" . }}
{{ end }}
{{ end }}
{{ $.Scratch.Add "labelClasses" "f6 b db mb1 mt3 sans-serif mid-gray" }}
{{ $.Scratch.Add "inputClasses" "w-100 f5 pv3 ph3 bg-light-gray bn" }}


The binner user macro takes a scattered set of points as its input and fits them to a uniform mesh. Each node of the uniform mesh is referred to as a bin. The macro then counts the number of points in each bin. If node data is available for the input points the macro is also able to count the number of points that lie within certain data bins. The uniform mesh that is constructed can be either cartesian, polar or normalized polar. The binner user macro outputs field data that contains the uniform mesh and one or more sets of node data that contains the final bin counts.
Input Ports
Name Type Description in_fld Mesh+Node_Data Input scattered points field. Parameters
Name Type Description UI Control coordinate_system enum Coordinate system to be used for binning. RadioBox ncoord_bins int[] Array specifying number of bins along every axis. Fields ndata_bins int Number of data ranges to bin node data into. Field comp int Node data component to be used. Slider Output Ports
Name Type Description out_fld Field_Unif Uniform field containing bin counts. out_obj DataObject Directly renderable output object.
The Binner project allows a set of scattered points to be summarised. It does this by using the concept of binning. This means that the data is summarised by grouping or binning together all of the points that lie within certain coordinate and data ranges. The grouping by coordinate ranges is done by constructing a uniform grid and fitting the scattered points to that grid. By using this technique the project can allow simple statistical analysis to be done from within AVS/Express. The project can also be used to help make trends more visible.
The binner user macro takes a scattered set of points as its input and fits them to a uniform grid. The uniform grid that is constructed can be either cartesian, polar or normalized polar. Each node of the uniform mesh is referred to as a coordinate bin. The macro then counts the number of points that can be fitted to each coordinate bin. If node data is available for the input points the macro is also able to count the number of points that lie within certain data ranges. These data ranges are called data bins. Each data bin will cover an equal proportion of the full range of the input data. Therefore if 3 data bins are asked for the data bins will have the following ranges:
- 0% to 33% of the input data range.
- 33% to 67% of the input data range.
- 67% to 100% of the input data range.
The counts calculated by the binner macro are output as Field data. The output field contains a uniform mesh and a least one set of node data. The uniform mesh contains the grid that the input points where fitted to. If data binning has been disabled the output field will contain a single node data component that contains a count of the number of points that fitted into each coordinate bin. If data binning has been enabled the output field will contain a node data component for each data bin. Each node data component will contain a count of the number of points that fitted into each coordinate bin and which fitted into the appropriate data bin.
The binner macro only counts the number of points within each coordinate or data bin. It should be possible to add other statistical functions, such as averaging, to the low-level BinnerCore module. Alternatively if only the average values is required the general AVS/Express
scat_to_unif
module or IACScat2Unif
project could be used. These provide general purpose ways of fitting scattered points to uniform grids.
in_fld
Input field structure containing the set of scattered points that are to be binned. The field structure should contain a mesh that contains the locations of the points and one or more node data components that contain the data values at each point. The binner macro can only generate a 2D uniform polar grid. Hence the input
nspace
value of the field must be 2 if a polar grid is to be used.
coordinate_system
Specifies the coordinate system that should be used to generate the the uniform grid that the points are to be matched against. This parameter is an enumeration that has the following values.
"cartesian"
Grid is constructed along X,Y,Z axis (default) "polar"
Grid is constructed along R and rho axis. "normalized polar"
Grid is constructed along R and rho axis and adjusted to have equal area bins. Polar and normalized polar binning is only supported for 2D input points. Cartesian binning is supported for 1D, 2D and 3D input points. When in polar and normalized polar modes the output grid has to be converted into cartesian coordinates before it can be displayed. The BinnerPolarEg example application shows how this can be done.
ncoord_bins[]
Integer array that specifies now many coordinate bins should be created along each axis. In effect this defines the dimensions of the uniform grid that the scattered points will be fitted to. The Binner macro allows the input data to be collapsed to a lower dimension output field. If the number of bins for an axis is less than or equal to 1 that axis will be ignored in the output field. Hence setting the number of bins to {10, 10, 1}
will create a 2D output grid. One limitation of this feature is that the output grid is not transformed to match the axis that remain.
ndata_bins
Integer parameter that specifies now many data bins should be created. If the value of this parameter is less than or equal to 1 data binning will be disabled. If the parameter is greater than 1 the appropriate number of data bins will be created. Each created data bin will cover an equal proportion of the data range of the input points. Therefore if 2 data bins are requested the first data bin will cover the 0% to 50% range and the second bin will cover the 50% to 100% range. The data bin counts will be output as separate sets of node data components.
comp
Integer parameter that specifies which input node data component should be binned. This parameter is only valid if data binning has been requested. If data binning is disabled this parameter will be ignored. By default the first node data component will be binned. If a node data component has a vector length greater than 1 only the first element of the vector will be binned.
out_fld
Uniform field output of binner user macro. This output contains a uniform mesh that describes the grid that the scattered points where fitted to and one or more node data components that contain the final bin counts. If data binning has been disabled a single node data component will be output. This component will contain a count of the number of points that have been fitted to each coordinate bin. If data binning is enabled a node data component will be output for each data bin. Each component will contain a count of the number of points that have been fitted to each coordinate bin and fit within the appropriate data range. Node data labels are created to appropriately describe the output node data.
out_obj
Directly renderable DataObject output of binner user macro. If no further visualization is necessary this output can be connected to a viewer module and displayed. However normally further visualization will be necessary and this output should not be used.
The low-level BinnerCore module is used in the Functional Macro BinnerFunc which is in turn used in the User Macro binner. Additionally, this macro also uses the BinnerParams parameter block group object, as does the BinnerUI UI Macro.
Three example applications are provided with the Binner project. The BinnerEg applications reads a column data file(small.dat), converts it into a 3D scattered point field and inputs that field into the binner macro. The binner macro fits the points to a uniform grid and counts the number of points that fall within each coordinate bin. The resulting 3D uniform field is then visualized using an orthoslice and a bounding box.
The BinnerCityPlotEg application shows how the city_plot module can be used to visualize the binning of 2D points. As before a column data file is read. However in this case it is converted into a field of 2D points. These are binned and then visualized using the city_plot module. It should be easy to see where the highest concentration of points is located. By enabling data binning it should also be possible to see where points within various data ranges are located. You should find that all the data points that are above the 75% point are located near to the centre of the field.
Finally the BinnerPolarEg application shows how the coordinate system parameter of the binner macro can be used to generate a polar grid to match the input points against. When using polar or normalized polar grids the output field data cannot be visualized directly. It must first be converted into cartesian coordinates. In this application the coordinate_math module is used to do this.
xp_comm_proj/binner/bin_mods.v contains the V definition of the BinnerCore low-level module, the CoordinateSystemEnum enumeration definition and the BinnerParams parameter block.
xp_comm_proj/binner/bin_macs.v contains the V definitions of the BinnerUI user interface macro, the BinnerFunc functional macro and the binner user macro.
xp_comm_proj/binner/bin_apps.v contains the V definition of the BinnerEg, BinnerCityPlotEg and BinnerPolarEg example applications.
The low-level BinnerMods library containing the low-level BinnerCore modules does not specify a process. By default the express process will be used.
Mario Valle, AVS Italy
Ma YingLiang, Manchester Visualization Centre Andrew Dodd, International AVS Centre


Source code for fitAlgs.boundFunc
# -*- coding: utf-8 -*-
"""
:Author: Dominic Hunt
"""
import numpy as np
[docs]def infBound(base=0):
"""Boundary excess of ``inf`` when over bounds
Parameters
----------
base : float, optional
The cost at the boundary. Default 0
Returns
-------
cost : function
Calculates the cost of exceeding the bounday using the parameters and
the boundaries, and returns the cost.
Examples
--------
>>> cst = infBound(base = 160)
>>> cst([0.5, 2], [(0, 1), (0, 5)])
160
>>> cst([0.5, 7], [(0, 1), (0, 5)])
inf
"""
response = np.inf
def cost(parameters, bounds):
boundArr = np.array(bounds)
if (parameters < boundArr[:, 0]).any() or any(parameters > boundArr[:, 1]):
return response
else:
return base
cost.Name = "boundFunc.infBound"
cost.Params = {"base": base}
return cost
[docs]def scalarBound(base=0):
"""Boundary excess calculated as a scalar increase based on difference with
bounds
Parameters
----------
base : float, optional
The cost at the boundary. Default 0
Returns
-------
cost : function
Calculates the cost of exceeding the boundary using the parameters and
the boundaries, and returns the cost.
Examples
--------
>>> cst = scalarBound(base=160)
>>> cst([0.5, 2], [(0, 1), (0, 5)])
160.0
>>> cst([0.5, 7], [(0, 1), (0, 5)])
162.0
"""
def cost(parameters, bounds):
boundArr = np.array(bounds)
minOut = sum((boundArr[:, 0] - parameters) * (parameters < boundArr[:, 0]))
maxOut = sum((parameters - boundArr[:, 1]) * (parameters > boundArr[:, 1]))
response = base + minOut + maxOut
return response
cost.Name = "boundFunc.scalarBound"
cost.Params = {"base": base}
return cost


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Welcome to Olympiad GeoGuessr
Missed Items (click item to display)
Select an Episode:
Thanks to the following people who contributed diagrams:
- Evan Chen
- Michael Wang
- Sutanay Bhattacharya
- Alex Zhao
Help Out: I'm looking for people to help contribute Asymptote diagrams for this project. Here's an example of a few of these diagrams. Please send me an email if you'd be interested in contributing!


Fraud, Waste, or Abuse
Every year, millions of Medicare dollars are lost as a result of Fraud, Waste or Abuse. Such activity could have a major impact to the quality of benefit Medicare is able to provide to you and other Medicare members.
What are some examples of Medicare Fraud, Waste or Abuse?
- A pharmacy bills for medications you never received.
- Someone uses your prescription drug card to obtain medications.
- Prescription “stock piling”. (i.e. re-ordering prescriptions before you need them)
- Pharmacy bills Granite Alliance for medication “x” and knowingly gives you medication “y” instead.
- Your physician writes a prescription for you to take a medication two times a day but verbally tells you to take it once a day to make the supply last longer.
- A company offers a Medicare drug plan that has not been approved by Medicare.
- A company uses false information to mislead you into joining a Medicare drug plan.
To prevent Fraud, Waste or Abuse, Granite Alliance has a Compliance Department comprised of specialists trained to investigate, identify and resolve these cases.
If you suspect any Medicare Fraud, Waste or Abuse, here is how you can report it:
By Phone
1-800-755-0850


Hello, Code School!
Be able to use and explain git / github to my partner so they understand.
Be able to use and explain codey text editors and how they are used with git, too!


{%extends "base/base.html" %} {%block title%}The world's most advanced open source database{%endblock%} {%block meta%} {%endblock%} {%block layoutblock%}
20th March 2014
The PostgreSQL Global Development Group announces updates for all active branches of PostgreSQL, specifically versions 9.3.4, 9.2.8, 9.1.13, 9.0.17 and 8.4.21.
{{n.date}}
{{n.title}}
{{post.date}}
{{post.title}}
{{e.displaydate|safe}}
{{e.title}}
({{e.locationstring}})
Take a look at our schedule to find the training that you want.
{%else%} There are no training events currently scheduled. {%endif%}


Pair wanted in Lancashire murder investigation
by Tony DurkinDetectives investigating the murder of a Lancashire woman are appealing for information to find two men wanted in connection with her death.
Kaylib Connolly, 18, and Dean Qayum, 20 , both from the Blackburn area, are wanted by police following the murder of Alison McBlaine.
Miss McBlaine, 36, died on Thursday (November 21) in hospital following a serious collision around 7.45pm on Tuesday (November 19) on Whalley Banks, Blackburn at the junction with Pearson Street.
Police believe a car, a Fiat Punto Grande, deliberately mounted the pavement before colliding with Miss McBlaine, and a second pedestrian, a man aged 26 from Blackburn. He also sustained serious injuries.
The car failed to stop at the scene of the collision and was later found on Lower Hollin Bank Street, Blckburn with significant front end damage. Attempts had been made to set the vehicle on fire.
Two men initially arrested by police and a third person arrested by officers on Friday, November 22, remain in custody.
Detectives now want to speak to Connolly and Qayum in connection with Miss McBlaine’s death and are warning anyone hiding them they will be arrested.
Det Ch Insp Lee Wilson, of Lancashire Police, said: “Connolly and Qayum are wanted in connection with this extremely serious offence.
“They know police want to speak to them and I believe they are being harboured in and around the Blackburn area at this time.
“I would warn anyone who is protecting them, or helping to hide them, that we will identify this during our investigation and they will also be arrested and prosecuted.
“My thoughts and those of the team engaged on this inquiry remain with Alison’s loved ones, in particular her 12-year-old son Reagan. I would urge anyone with information about what has happened, or knows where Connolly and Qayum are, to do the right thing – please come forward and speak to police immediately.
“We will not stop in our efforts to find both men and I would urge the public to help us find those responsible for this brutal and callous attack.”
Anyone with information should contact police on 101 quoting log 0915 of November 20 or through the Major Incident Portal at https://mipp.police.uk/operation/0401020119E09-PO1
Independent charity Crimestoppers can also be contacted anonymously on 0800 555 111.


{% extends 'bootstrap/base.html' %} {% import 'bootstrap/wtf.html' as wtf %}
A pace where great minds meet. Join us


YoutubeJam allows users and creators to recieve a sentiment score that provides a way to see the feedback on a Youtube Video without having to sit through a whole lot of coments. Users can see the sentiment score of each comment as well as the overall average of all the coments.
Log in to see how your channel is doing without having to sit through an inordinate amount of comments. Just set your channel in the profile and we'll show you your sentiments from a bunch of your videos.
Returning User? No worries, all your history has been saved so that you can view the videos you have already seen.


The account(s):
The active account:
The position(s):
The instrument lists:
Lookup bonds:
Lookup certificates:
Lookup leveraged products:
Lookup instruments within a MIC:
The instruments of a list:
News:
Option sheet:
The transaction(s):
The performance:
Find an instrument:
Test request:


Hello,
I had an idea to allow returns from statements and decided to do a research and found Do Expression proposal very similar and more complex than my idea.
My idea is basically to create a new keyword syntax as a shortcut for an executed arrow function. It behaves same as arrow function.
const
a=1,
b = do if(a) return 1; else return 0;;
const
a=1,
b = (()=> {if(a) return 1; else return 2})();
We can also use alternative names or keywords for this new feature.
const
a=1,
b = -> if(a) return 1; else return 0;;
const
a=1,
b = => if(a) return 1; else return 0;;
Or
const
a=1,
b = =>{ if(a) return 1; else return 0;};
=>
syntax a Immediately Executed Arrow FunctionWe can even pass parameters as an object:
const
a=1,
b = {value:a} => if(value) return value; else return 0;
const a=1,b=2;
const c =
{a,b}=> {
if(a) return a;
else if(b) return b;
else return 0;
}
console.log(c)
Consecutive chains inherit the single parameter of single field object of parent chain, each assigning return value to that single field object property and passing that as parameters to next chain. We can enforce rule for my proposal to only have one object with one field as the parameter, that field can be be assigned as any object of course.
const value=1;
const c = {value}
=> value+1
=> value+1
=> value+2
console.log(c) //5
Alternative Syntax:
const c = value
-> value+1
-> value+1
-> value+2
console.log(c) //5
We can of course discuss the syntax, my proposal has 3 suggestions: =>, ->, do. The reason I prefer => is because my method is actually based on anonymous method, just immediately executed, and allowing flexibility.
Thank you,


| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Chapter 12. Full Text Search | Next |
Full Text Searching (or just text search) provides the capability to identify natural-language documents that satisfy a query, and optionally to sort them by relevance to the query. The most common type of search is to find all documents containing given query terms and return them in order of their similarity to the query. Notions of query and similarity are very flexible and depend on the specific application. The simplest search considers query as a set of words and similarity as the frequency of query words in the document.
Textual search operators have existed in databases for years. PostgreSQL has ~, ~*, LIKE, and ILIKE operators for textual data types, but they lack many essential properties required by modern information systems:
There is no linguistic support, even for English. Regular expressions are not sufficient because they cannot easily handle derived words, e.g., satisfies and satisfy. You might miss documents that contain satisfies, although you probably would like to find them when searching for satisfy. It is possible to use OR to search for multiple derived forms, but this is tedious and error-prone (some words can have several thousand derivatives).
They provide no ordering (ranking) of search results, which makes them ineffective when thousands of matching documents are found.
They tend to be slow because there is no index support, so they must process all documents for every search.
Full text indexing allows documents to be preprocessed and an index saved for later rapid searching. Preprocessing includes:
Parsing documents into tokens. It is useful to identify various classes of tokens, e.g., numbers, words, complex words, email addresses, so that they can be processed differently. In principle token classes depend on the specific application, but for most purposes it is adequate to use a predefined set of classes. PostgreSQL uses a parser to perform this step. A standard parser is provided, and custom parsers can be created for specific needs.
Converting tokens into lexemes. A lexeme is a string, just like a token, but it has been normalized so that different forms of the same word are made alike. For example, normalization almost always includes folding upper-case letters to lower-case, and often involves removal of suffixes (such as s or es in English). This allows searches to find variant forms of the same word, without tediously entering all the possible variants. Also, this step typically eliminates stop words, which are words that are so common that they are useless for searching. (In short, then, tokens are raw fragments of the document text, while lexemes are words that are believed useful for indexing and searching.) PostgreSQL uses dictionaries to perform this step. Various standard dictionaries are provided, and custom ones can be created for specific needs.
Storing preprocessed documents optimized for searching. For example, each document can be represented as a sorted array of normalized lexemes. Along with the lexemes it is often desirable to store positional information to use for proximity ranking, so that a document that contains a more "dense" region of query words is assigned a higher rank than one with scattered query words.
Dictionaries allow fine-grained control over how tokens are normalized. With appropriate dictionaries, you can:
Define stop words that should not be indexed.
Map synonyms to a single word using Ispell.
Map phrases to a single word using a thesaurus.
Map different variations of a word to a canonical form using an Ispell dictionary.
Map different variations of a word to a canonical form using Snowball stemmer rules.
A data type tsvector is provided for storing preprocessed documents, along with a type tsquery for representing processed queries (Section 8.11). There are many functions and operators available for these data types (Section 9.13), the most important of which is the match operator @@, which we introduce in Section 12.1.2. Full text searches can be accelerated using indexes (Section 12.9).
A document is the unit of searching in a full text search system; for example, a magazine article or email message. The text search engine must be able to parse documents and store associations of lexemes (key words) with their parent document. Later, these associations are used to search for documents that contain query words.
For searches within PostgreSQL, a document is normally a textual field within a row of a database table, or possibly a combination (concatenation) of such fields, perhaps stored in several tables or obtained dynamically. In other words, a document can be constructed from different parts for indexing and it might not be stored anywhere as a whole. For example:
SELECT title || ' ' || author || ' ' || abstract || ' ' || body AS document FROM messages WHERE mid = 12; SELECT m.title || ' ' || m.author || ' ' || m.abstract || ' ' || d.body AS document FROM messages m, docs d WHERE mid = did AND mid = 12;
Note: Actually, in these example queries,
coalesce
should be used to prevent a single NULL attribute from causing a NULL result for the whole document.
Another possibility is to store the documents as simple text files in the file system. In this case, the database can be used to store the full text index and to execute searches, and some unique identifier can be used to retrieve the document from the file system. However, retrieving files from outside the database requires superuser permissions or special function support, so this is usually less convenient than keeping all the data inside PostgreSQL. Also, keeping everything inside the database allows easy access to document metadata to assist in indexing and display.
For text search purposes, each document must be reduced to the preprocessed tsvector format. Searching and ranking are performed entirely on the tsvector representation of a document — the original text need only be retrieved when the document has been selected for display to a user. We therefore often speak of the tsvector as being the document, but of course it is only a compact representation of the full document.
Full text searching in PostgreSQL is based on the match operator @@, which returns true if a tsvector (document) matches a tsquery (query).  A tsquery
contains search terms, which must be already-normalized lexemes, and
may combine multiple terms using AND, OR, and NOT operators.
(For details see Section 8.11.) There are
functions to_tsquery
and plainto_tsquery
that are helpful in converting user-written text into a proper
tsquery, for example by normalizing words appearing in
the text. Similarly, to_tsvector
is used to parse and
normalize a document string. So in practice a text search match would
look more like this:
SELECT to_tsvector('fat cats ate fat rats') @@ to_tsquery('fat & rat'); ?column? ---------- t
Observe that this match would not succeed if written as
SELECT 'fat cats ate fat rats'::tsvector @@ to_tsquery('fat & rat'); ?column? ---------- f
since here no normalization of the word rats will occur. The elements of a tsvector are lexemes, which are assumed already normalized, so rats does not match rat.
The @@ operator also supports text input, allowing explicit conversion of a text string to tsvector or tsquery to be skipped in simple cases. The variants available are:
tsvector @@ tsquery tsquery @@ tsvector text @@ tsquery text @@ text
The first two of these we saw already. The form text @@ tsquery is equivalent to to_tsvector(x) @@ y. The form text @@ text is equivalent to to_tsvector(x) @@ plainto_tsquery(y).
The above are all simple text search examples. As mentioned before, full text search functionality includes the ability to do many more things: skip indexing certain words (stop words), process synonyms, and use sophisticated parsing, e.g., parse based on more than just white space. This functionality is controlled by text search configurations. PostgreSQL comes with predefined configurations for many languages, and you can easily create your own configurations. (psql's \dF command shows all available configurations.)
During installation an appropriate configuration is selected and default_text_search_config is set accordingly in postgresql.conf. If you are using the same text search configuration for the entire cluster you can use the value in postgresql.conf. To use different configurations throughout the cluster but the same configuration within any one database, use ALTER DATABASE ... SET. Otherwise, you can set default_text_search_config in each session.
Each text search function that depends on a configuration has an optional regconfig argument, so that the configuration to use can be specified explicitly. default_text_search_config is used only when this argument is omitted.
To make it easier to build custom text search configurations, a configuration is built up from simpler database objects. PostgreSQL's text search facility provides four types of configuration-related database objects:
Text search parsers break documents into tokens and classify each token (for example, as words or numbers).
Text search dictionaries convert tokens to normalized form and reject stop words.
Text search templates provide the functions underlying dictionaries. (A dictionary simply specifies a template and a set of parameters for the template.)
Text search configurations select a parser and a set of dictionaries to use to normalize the tokens produced by the parser.
Text search parsers and templates are built from low-level C functions; therefore it requires C programming ability to develop new ones, and superuser privileges to install one into a database. (There are examples of add-on parsers and templates in the contrib/ area of the PostgreSQL distribution.) Since dictionaries and configurations just parameterize and connect together some underlying parsers and templates, no special privilege is needed to create a new dictionary or configuration. Examples of creating custom dictionaries and configurations appear later in this chapter.


Changelog¶
UNRELEASED¶
Changelog¶
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/) and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
Unreleased¶
All in-development changes will be tracked here.
- Fixing merge flip due to differences between NIFS + ALTAIR and NIFS w/o ALTAIR
on the bottom port. - Adding remaining overwrite blocks. - Adding unit tests for each step and integration test for pipeline. - Fixing telluric correction and absolute flux calibration.
1.0b1 - 2017-09-08¶
- Preliminary Beta release. Syntax errors mean this version will not compile.
1.0a1 - 2017-08-31¶
- Preliminary Alpha release. .whl uploaded to PIP, docs uploaded to
ReadTheDocs and preliminary DOI assigned.


Used to describe a function with a const cv-qualifier.
The <cxxFunctionConst> element is present when the function has a const cv-qualifier . The element has two mandatory attributes, name and value. If present, these attributes must be set to the value “const”.
See ISO/IEC 14882:2003(E) <IP_ADDRESS> The cv-qualifiers [dcl.type.cv]
Given this code:
struct X { void g() const; };
Then function g would have the cxxFunctionConst element:
<cxxFunctionConst />
If the mandatory attributes are present they must be set thus:
<cxxFunctionConst name="const" value="const" />


[1] Rajesh Bordawekar, Juan Miguel del Rosario, and Alok Choudhary. Design and evaluation of primitives for parallel I/O. In Proceedings of Supercomputing '93, pages 452--461, 1993.
[2] Juan Miguel del Rosario, Rajesh Bordawekar, and Alok Choudhary. Improved parallel I/O via a two-phase run-time access strategy. In IPPS '93 Workshop on Input/Output in Parallel Computer Systems, pages 56--70, 1993. Also published in Computer Architecture News 21(5), December 1993, pages 31--38.
[3] Margaret A. Ellis and Bjarne Stroustrup. The Annotated C++ Reference Manual. Addison Wesley, 1990.
[4] C++ Forum. Working paper for draft proposed international standard for information systems --- programming language C++. Technical report, American National Standards Institute, 1995.
[5] Message Passing Interface Forum. MPI: A Message-Passing Interface standard. The International Journal of Supercomputer Applications and High Performance Computing, 8, 1994.
[6] Message Passing Interface Forum. MPI: A Message-Passing Interface standard (version 1.1). Technical report, 1995. http://www.mpi-forum.org.
[7] Al Geist, Adam Beguelin, Jack Dongarra, Weicheng Jiang, Bob Manchek, and Vaidy Sunderam. PVM: Parallel Virtual Machine---A User's Guide and Tutorial for Network Parallel Computing. MIT Press, 1994.
[8] Michael Hennecke. A Fortran 90 interface to MPI version 1.1. Technical Report Internal Report 63/96, Rechenzentrum, Universität Karlsruhe, D-76128 Karlsruhe, Germany, June 1996. Available via world wide web from http://www.uni-karlsruhe.de/\ Michael.Hennecke/Publications/#MPI_F90.
[9] Institute of Electrical and Electronics Engineers, New York. IEEE Standard for Binary Floating-Point Arithmetic, ANSI/IEEE Standard 754-1985, 1985.
[10] International Organization for Standardization, Geneva. Information processing --- 8-bit single-byte coded graphic character sets --- Part 1: Latin alphabet No. 1, 1987.
[11] International Organization for Standardization, Geneva. Information technology --- Portable Operating System Interface (POSIX) --- Part 1: System Application Program Interface (API) [C Language], December 1996.
[12] Charles H. Koelbel, David B. Loveman, Robert S. Schreiber, Guy L. Steele Jr., and Mary E. Zosel. The High Performance Fortran Handbook. MIT Press, 1993.
[13] David Kotz. Disk-directed I/O for MIMD multiprocessors. In Proceedings of the 1994 Symposium on Operating Systems Design and Implementation, pages 61--74, November 1994. Updated as Dartmouth TR PCS-TR94-226 on November 8, 1994.
[14] S. J. Lefflet, R. S. Fabry, W. N. Joy, P. Lapsley, S. Miller, and C. Torek. An advanced 4.4BSD interprocess communication tutorial, Unix programmer's supplementary documents (PSD) 21. Technical report, Computer Systems Research Group, Depertment of Electrical Engineering and Computer Science, University of California, Berkeley, 1993. Also available at http://www.netbsd.org/Documentation/lite2/psd/.
[15] Bill Nitzberg. Performance of the iPSC/860 Concurrent File System. Technical Report RND-92-020, NAS Systems Division, NASA Ames, December 1992.
[16] William J. Nitzberg. Collective Parallel I/O. PhD thesis, Department of Computer and Information Science, University of Oregon, December 1995.
[17] 4.4BSD Programmer's Supplementary Documents (PSD). O'Reilly and Associates, 1994.
[18] Perry Partow and Dennis Cottel. Scalable Programming Environment. Technical Report 1672, Naval Command Control and Ocean Surveillance Center (NRAD), September 1994.
[19] K. E. Seamons, Y. Chen, P. Jones, J. Jozwiak, and M. Winslett. Server-directed collective I/O in Panda. In Proceedings of Supercomputing '95, December 1995.
[20] Anthony Skjellum, Nathan E. Doss, and Kishore Viswanathan. Inter-communicator extensions to MPI in the MPIX (MPI eXtension) Library. Technical Report MSU-940722, Mississippi State University --- Dept. of Computer Science, April 1994. http://www.erc.msstate.edu/mpi/mpix.html.
[21] Anthony Skjellum, Ziyang Lu, Purushotham V. Bangalore, and Nathan E. Doss. Explicit parallel programming in C++ based on the message-passing interface (MPI). In Gregory V. Wilson, editor, Parallel Programming Using C++, Engineering Computation Series. MIT Press, July 1996. ISBN 0-262-73118-5.
[22] Rajeev Thakur and Alok Choudhary. An Extended Two-Phase Method for Accessing Sections of Out-of-Core Arrays. Scientific Programming, 5(4):301--317, Winter 1996.
[23] The Unicode Standard, Version 2.0. Addison-Wesley, 1996. ISBN 0-201-48345-9.


Chinese Steel, Raw Material Prices Are On The Rise
by MetalMinerSummary
- Demand in top consumer China remains surprisingly robust, yet inventories are falling.
- Mills can by a number of ways, such as using higher-grade ore, boost utilization rates above capacity for a period of time.
- It has been a sufficiently abrupt turnaround in sentiment from last month and will be worth watching in the coming weeks.
By Stuart Burns
Amid the doom and gloom on steel prices - at least for producers, you won't hear consumers complaining - a couple of Reuters reports suggest some of the relentless pressure on prices may ease early next year.
Demand in top consumer China remains surprisingly robust, yet inventories are falling - suggesting producers are struggling to keep up with demand.
If that were not enough, Reuters reported new starts are being more vigorously investigated and the approval process reviewed, leading the industry to think supply will be curbed further during the winter heating period this year.
A notice jointly issued by the National Development and Reform Commission, Ministry of Industry and Information Technology (MIIT) and the National Bureau of Statistics urges local governments and the State-owned Assets Supervision and Administration Commission (SASAC) to verify the steel firms' capacity, production and fixed-asset investments.
Both legal and so-called "illegal" capacity is coming under scrutiny, as some mills achieved capacity utilization rates of 150% in 2019 - raising questions about the accuracy of the original capacity estimation.
Mills can by a number of ways, such as using higher-grade ore, boost utilization rates above capacity for a period of time; however, the margin is usually single digits, not 50%.
This month has seen price rises in China for both finished steel products (like rebar, used in construction, and hot-rolled coil, used in medium manufacturing) and raw material inputs, such as iron ore and coking coal, Reuters reported.
So far, price rises are modest.
But if strong demand continues, it could reduce the volume Chinese mills have available for export and raise the price of material that is sold into neighboring markets, raising the prospect of a firming in global steel prices next year.
It is too early to tell if the trend will continue, but it has been a sufficiently abrupt turnaround in sentiment from last month and will be worth watching in the coming weeks.
Editor's Note: The summary bullets for this article were chosen by Seeking Alpha editors.


In-cell list
We provide support for the following products: · Lumia 525 · Lenovo G50 · Pavilion G6 · Nexus 5
Multiple-cell list
Evaluation Only. Created with GroupDocs.Viewer for .NET. Copyright 2015 Aspose Pty Ltd.


1: Guinness Storehouse, Dublin
4: National Aquatic Centre, Dublin
5: Book of Kells Exhibition, Trinity College, Dublin
Visiting Ireland is like taking a great big breath of fresh air. Our welcoming country boasts Europe's largest green space to the longest defined coastal touring route in the world, Ireland is a country brimming with fun and fascinating ways for visitors to spend their days and nights. You'll discover just the right mountain to climb, painting to pore over, sports team to cheer on, or whatever else takes your fancy.
What are Ireland's most popular tourist attractions? According to a July 2019 report by the Irish Tourist Board, the top five paid visitor attractions are those listed below.
Located at St. James's Gate Brewery, the Guinness Storehouse is the home of the Black Stuff, the heart of Dublin and an unforgettable element of any Irish adventure. An exciting visitor experience begins at the bottom of the world's largest pint glass, where you will learn the story of the beer's four ingredients: water, barley, hops and yeast. Your journey continues up through seven floors filled with interactive experiences that fuse Guinness' long brewing heritage with Ireland's rich history.  Now that's our kind of higher education!
Annual Number of Visitors: 1,711,281
You simply cannot travel to Ireland without paying a visit to the breathtaking Cliffs of Moher, situated in County Clare along the Wild Atlantic Way. The Cliffs of Moher have majestically faced the Atlantic for over 350 million years and their beauty is incomparable. The Cliffs are an area of outstanding natural beauty that is recognised as a UNESCO Global Geopark. Also, they are a haven for wildlife. Over 30,000 breeding bird pairs make the Cliffs their home annually, among them guillemots, razorbills, kittiwakes, peregrine falcons and the ever-popular cute puffins.
Annual Number of Visitors: 1,527,000
Established in 1830, Dublin Zoo works in partnership with zoos worldwide to make a significant contribution to the conservation of the endangered species on Earth. Located in Dublin's Phoenix Park and covering over 28 hectares, the Zoo is divided into the following areas: Asian Forests, Orangutan Forest, The Kaziranga Forest Trail, Fringes of the Arctic, Sea Lion Cove, African Plains, Roberts House, House of Reptiles, City Farm and South American House. Home to some 400 animals in a safe environment, Dublin Zoo is where education and conservation combine for an exciting and stimulating day out for all the family.
Annual Number of Visitors: 1,264,300
Located in the Dublin suburb of Blanchardstown, Dublin, the National Aquatic Centre is Ireland's largest and most popular Water Park. The 2,500-capacity venue has won numerous major awards, including Best Leisure Facility in Ireland. It has hosted pre-Olympic training camps for teams from 16 different countries and 190 athletes, among them eventual Water Polo Champions, Croatia, and the Synchronised Swimming Team from the USA.
Annual Number of Visitors: 1,099,756
Based at Trinity College in the heart of Dublin city, the Book of Kells Exhibition is a must-see on the itinerary of all visitors to Ireland. It showcases the nation's greatest cultural treasure and the world's most famous medieval manuscript: the Book of Kells, a 9th-century manuscript that documents the four Gospels of the life of Jesus Christ. The Exhibition also features access to the Long Room, a magnificent and beautiful library, that houses 200,000 of Trinity College's oldest books.
Annual Number of Visitors: 983,410


outside-event
0
Clicks outside of this circle
0
Clicks outside of first two circles
0
Clicks outside of all circles
0
Clicks and scrolling outside of all circles
0
Clicks outside of all circles; triggered once


We are designers and technologists working together with non-profit and community leaders to build a better future.
We’re working with state health officials and local community leaders across Louisiana to help flatten the curve.
We’re partnering with the Gardere Initiative to offer high school students the opportunity to gain essential technology skills and experience.
We’re working to empower the next generation of future developers, designers, and project managers.
We believe that Open Collaboration, Open Data, and Open Source is the path to accelerate innovation.


--- layout: base ---
Starting finance and accouting studies in Rzeszów
Joining University club „Young Economists"
Exchange semester at Huazhong University of science and technology
First place at the International Student Seminar on Management and Financial Issues in Karviná
Third place at the International Student Seminar on Management and Financial Issues in Rzeszów
Graduating from Rzeszów Technical University
Starting masters degree on SGH Warsaw School of Economics
Starting work as an analyst in one of the Big 4 companies (audit)


Effective Utility for Retards: Overpass
Home
T Nades
CT Nades
Counter-Terrorist Grenades
A Site/Bathrooms/Mid
S
One-way, from Back A
S
Long, from CT Spawn
S
One-way, from Connector
F
Long, from Bank
F
Lower Tunnel, from Connector
B Site
S
One-way, from Heaven
S
One-way, from Construction
S
Water Pipe, from CT Spawn
S
Water Pipe #2, from CT Spawn
S
Monster, from Back A
S
Monster, from CT Spawn
S
Sandbags, from CT Spawn
M
B Default, from Walkway
M
B Default, from Safe
M
Pipe, from Walkway
Advertisement


Class: SampleBase Abstract
- Inherits:
-
Object
- Object
- SampleBase
- Defined in:
- /build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb
Overview
Sample base class.
Direct Known Subclasses
Constant Summary
- LOG_LEVELS =
[:INFO, :DEBUG, :WARN]
Instance Attribute Summary (collapse)
-
- (Object) description
readonly
ctor args.
-
- (Object) log
readonly
common aspects.
-
- (Object) ls_ip
sample config properties.
-
- (Object) ls_url
sample config properties.
-
- (Object) mgmt_node_id
sample config properties.
-
- (Object) mgmt_node_index
sample config properties.
-
- (Object) mgmt_node_name
sample config properties.
-
- (Object) multiple_mgmt_node
readonly
ctor args.
-
- (Object) option_parser
readonly
common aspects.
-
- (Object) options
readonly
common aspects.
-
- (Object) sso_password
sample config properties.
-
- (Object) sso_username
sample config properties.
-
- (Object) title
readonly
ctor args.
-
- (Object) use_supporters
readonly
ctor args.
Instance Method Summary (collapse)
-
- (SampleBase) initialize(title, description, use_supporters = true, multiple_mgmt_node = false)
constructor
Constructs a new instance.
-
- (Object) main
The main entry point for samples, which executes in a conventional pattern: Call parse_options(), call before(), call run(), then call after().
Constructor Details
- (SampleBase) initialize(title, description, use_supporters = true, multiple_mgmt_node = false)
Constructs a new instance.
45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 45 def initialize(title, description, use_supporters=true, multiple_mgmt_node=false) raise 'Sample title is required' if title.nil? raise 'Sample description is required' if description.nil? @title = title @description = description @use_supporters = use_supporters @multiple_mgmt_node = multiple_mgmt_node init_logging() () # The following two configurations are used when the sample uses a # single management node, which is the case for most of our samples. # When a sample uses multiple management nodes, the sample has to deal # with the management nodes service managers at the sample level. @mgmt_node_id = nil @mgmt_node_name = nil @mgmt_node_index = 0 end |
Instance Attribute Details
- (Object) description (readonly)
ctor args
35 36 37 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 35 def description @description end |
- (Object) log (readonly)
common aspects
38 39 40 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 38 def log @log end |
- (Object) ls_ip
sample config properties
41 42 43 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 41 def ls_ip @ls_ip end |
- (Object) ls_url
sample config properties
41 42 43 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 41 def ls_url @ls_url end |
- (Object) mgmt_node_id
sample config properties
41 42 43 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 41 def mgmt_node_id @mgmt_node_id end |
- (Object) mgmt_node_index
sample config properties
41 42 43 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 41 def mgmt_node_index @mgmt_node_index end |
- (Object) mgmt_node_name
sample config properties
41 42 43 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 41 def mgmt_node_name @mgmt_node_name end |
- (Object) multiple_mgmt_node (readonly)
ctor args
35 36 37 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 35 def multiple_mgmt_node @multiple_mgmt_node end |
- (Object) option_parser (readonly)
common aspects
38 39 40 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 38 def option_parser @option_parser end |
- (Object) options (readonly)
common aspects
38 39 40 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 38 def @options end |
- (Object) sso_password
sample config properties
41 42 43 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 41 def sso_password @sso_password end |
- (Object) sso_username
sample config properties
41 42 43 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 41 def sso_username @sso_username end |
- (Object) title (readonly)
ctor args
35 36 37 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 35 def title @title end |
- (Object) use_supporters (readonly)
ctor args
35 36 37 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 35 def use_supporters @use_supporters end |
Instance Method Details
- (Object) main
The main entry point for samples, which executes in a conventional pattern: Call parse_options(), call before(), call run(), then call after(). All of these methods are meant to be fixed implementations as well. However, the specific samples have opportunities to customize each step by implementing the following methods:
()
()
setup()
execute()
cleanup()
76 77 78 79 80 81 |
# File '/build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sample/framework/sample_base.rb', line 76 def main () before() run() after() end |


--- layout: post title: Gesture date: 2012-10-08 21:06:56.000000000 +02:00 type: post published: true status: publish categories: - Technology tags: [] meta: _edit_last: '2' _jetpack_related_posts_cache: a:0:{} author: login: admin email<EMAIL_ADDRESS>display_name: gerbrand first_name: Gerbrand last_name: van Dieijen ---
Lots of SF movies and futerist though that the future interface of the computer would be voice: talking to your computer like it was a human. Nothing less is true: the future are gestures to the computer? Why, now that people have smartphones, they could communicate with each other using video-calls - the videophone of the past. Rather than that, many people just post text messages to each other. People prefer to text to other people, why would they even use voice to talk to a computer?
Of course the best interface, next to typing commands to a computer, would be using gestures: just subtle move your hands in front of your screen to get things done.
A few start-ups already have the technology available: Meet the Nimble-Fingered Interface of the Future


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I could try...
Something will go wrong if I do.
I should just stay by my friend's side.


A compilation of my coding projects
In my Epicodus course I have completed several small coding projects.
Please see a few examples links below:
A look into my work history, Education, and personal life.
Program Manager
2017 to 2019
Operations Manager
2013 to 2017
Personal Trainer
2014 to 2017
I'm currently enrolled in Epicodus and to complete the program in May 2020.
I also hold the following degrees:
Bachelors of Science in Business Administration>
2014 to 2016
Associates Degree in Business Management
2012 to 2014
My life has been filled with many instances of accomplishments and failures. All of them have helped develop the person I am. As a first generation Latino College graduate, I'm extremely happy and fortunate to be where I am today.
Here is a brief list of several hobbies that I'm fortunate to experience:
Here is a brief list of my skills:
After completing Epicodus I plan to seek career opportunities in the tech industry. I'm still unclear of unclear of what my primary focus of programing will be but I hope to find my path the end of the program.


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Finally, we come to images.


Take a look at the new version of social photo and video sharing app Tiiny, incubated at Kevin Rose’s and Marc Hemeon’s mobile laboratory, North. Tiiny 2.0 includes the ability to reply to photos and videos, keep photos and videos for longer than 24 hours, and more. Check out the video to take a look at the new app!


|
gtsam
4.0.0
gtsam
|
Public Member Functions | |
Testable | |
| void | print (const std::string &s="") const |
| print with optional string | |
| bool | equals (const Point3 &p, double tol=1e-9) const |
| equals with an tolerance | |
Vector Space | |
| double | distance (const Point3 &p2, OptionalJacobian< 1, 3 > H1=boost::none, OptionalJacobian< 1, 3 > H2=boost::none) const |
| distance between two points | |
| double | norm (OptionalJacobian< 1, 3 > H=boost::none) const |
| Distance of the point from the origin, with Jacobian. | |
| Point3 | normalized (OptionalJacobian< 3, 3 > H=boost::none) const |
| normalize, with optional Jacobian | |
| Point3 | cross (const Point3 &q, OptionalJacobian< 3, 3 > H_p=boost::none, OptionalJacobian< 3, 3 > H_q=boost::none) const |
| cross product More... | |
| double | dot (const Point3 &q, OptionalJacobian< 1, 3 > H_p=boost::none, OptionalJacobian< 1, 3 > H_q=boost::none) const |
| dot product More... | |
Standard Interface | |
| const Vector3 & | vector () const |
| return as Vector3 | |
| double | x () const |
| get x | |
| double | y () const |
| get y | |
| double | z () const |
| get z | |
Static Public Member Functions | |
Group | |
| static Point3 | identity () |
| identity for group operation | |
Public Types | |
| enum | { dimension = 3 } |
Friends | |
| class | boost::serialization::access |
| Serialization function. | |
| GTSAM_EXPORT friend std::ostream & | operator<< (std::ostream &os, const Point3 &p) |
| Output stream operator. | |
| Point3 gtsam::Point3::cross | ( | const Point3 & | q, |
| OptionalJacobian< 3, 3 > | H_p = boost::none , |
||
| OptionalJacobian< 3, 3 > | H_q = boost::none |
||
| ) | const |
cross product
| double gtsam::Point3::dot | ( | const Point3 & | q, |
| OptionalJacobian< 1, 3 > | H_p = boost::none , |
||
| OptionalJacobian< 1, 3 > | H_q = boost::none |
||
| ) | const |
dot product


Elementary operators are overloaded and operate on variables of type Real, Integer, Boolean, and String, as well as on scalars or arrays.
| Arithmetic Operators (operate on Real, Integer scalars or arrays) | ||
| Operators | Example | Description |
| +, -, .+, .- | a + b a .+ b |
addition and subtraction; element-wise on arrays |
| * | a * b | multiplication; scalar*array: element-wise multiplication vector*vector: element-wise multiplication (result: scalar) matrix*matrix: matrix product vector*matrix: row-matrix*matrix (result: vector) matrix*vector: matrix*column-matrix (result: vector) |
| / | a / b | division of two scalars or an array by a scalar; division of an array by a scalar is defined element-wise. The result is always of real type. In order to get integer division with truncation use the function div. |
| ^ | a^b | scalar power or integer power of a square matrix |
| .*, ./, .^ | a .* b | element-wise multiplication, division and exponentiation of scalars and arrays |
| = | a * b = c + d | equal operator of an equation; element-wise on arrays |
| := | a := c + d | assignment operator; element-wise on arrays |
| Relational Operators (operate on Real, Integer, Boolean, String scalars) | ||
| Operators | Example | Description |
| == | a == b | equal; for strings: identical characters |
| <> | a <> b | not equal; for strings: a is lexicographically less than b |
| < | a < b | less than |
| <= | a <= b | less than or equal |
| > | a > b | greater than |
| >= | a >= b | greater than or equal |
| Boolean Operators (operate on scalars or element-wise on arrays) | ||
| Operators | Example | Description |
| and | a and b | logical and |
| or | a or b | logical or |
| not | not a | logical not |
| Other Operators | ||
| Operators | Example | Description |
| [..] | [1,2;3,4] | Matrix constructor; "," separates columns, ";" separates rows |
| {..} | {{1,2}, {3,4}} | Array constructor; every {..} adds one dimension |
| "..." | "string value" "string "value"" |
String literal (" is used inside a string for ") |
| + | "abc" + "def" | Concatenation of string scalars or arrays |
Operator precedence determines the order of evaluation of operators in an expression. An operator with higher precedence is evaluated before an operator with lower precedence in the same expression.
The following table presents all the expression operators in order of precedence from highest to lowest. All operators are binary except exponentiation, the postfix operators and those shown as unary together with expr, the conditional operator, the array construction operator {} and concatenation operator [ ], and the array range constructor which is either binary or ternary. Operators with the same precedence occur at the same line of the table:
| Operator Group | Operator Syntax | Examples |
| postfix array index operator | [] |
arr[index] |
| postfix access operator | . |
a.b |
| postfix function call | funcName(function-arguments) | sin(4.36) |
| array construct/concat | {expressions} [expressions] [expressions; expressions...] |
{2,3} |
| exponentiation | ^ |
2^3 |
| multiplicative and array elementwise multiplicative |
* / .* ./ |
2*3 2/3 |
| additive and array elementwise additive |
+ - +expr -expr |
a+b, a-b, +a, -a |
| relational |
< <= > >= == <> |
a<b, a<=b, a>b, ... |
... |
||
| unary negation | not expr |
not b1 |
| logical and | and |
b1 and b2 |
| logical or< | or |
b1 or b2 |
| array range |
expr : expr : expr |
1:5:100 , start:step:stop |
| conditional |
if expr then expr else expr |
if b then 3 else x |
| named argument | ident = expr |
x = 2.26 |
The conditional operator may also include
elseif
-clauses. Equality =
and assignment
:=
are not expression operators since they are allowed
only in equations and in assignment statements respectively. All
binary expression operators are left associative.
Note, the unary minus and plus in Modelica is slightly different than in Mathematica (Mathematica is a registered trademark of Wolfram Research Inc.) and in MATLAB (MATLAB is a registered trademark of MathWorks Inc.), since the following expressions are illegal (whereas in Mathematica and in MATLAB these are valid expressions):
2*-2 // = -4 in Mathematica/MATLAB; is illegal in Modelica --2 // = 2 in Mathematica/MATLAB; is illegal in Modelica ++2 // = 2 in Mathematica/MATLAB; is illegal in Modelica 2--2 // = 4 in Mathematica/MATLAB; is illegal in Modelica


Package com.arjuna.ats.arjuna.state
Class OutputBuffer
- java.lang.Object
-
- com.arjuna.ats.arjuna.state.OutputBuffer
-
- Direct Known Subclasses:
OutputObjectState
public class OutputBuffer extends java.lang.Object
An OuptputBuffer is used to store various Java types as a byte stream. Similar to java serialization. However, OutputBuffers are compatible with OTSArjuna states.- Since:
- JTS 1.0.
- Version:
- $Id: OutputBuffer.java 2342 2006-03-30 13:06:17Z $
- Author:
- Mark Little<EMAIL_ADDRESS>-
-
Field Summary
Fields Modifier and Type Field Description protected boolean
_valid
protected static int
ALIGNMENT
protected static int
headerSize
-
Constructor Summary
Constructors Constructor Description OutputBuffer()
Create a new buffer.OutputBuffer(byte[] b)
Create a new buffer using the provided byte array.OutputBuffer(int buffSize)
Create a new buffer with the specified initial size.OutputBuffer(OutputBuffer copyFrom)
Create a new OutputBuffer and initialise its state with a copy of the provided buffer.
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description byte[]
buffer()
Return the byte array used to store data types.void
copy(OutputBuffer b)
Copy the provided OutputBuffer and overwrite the current instance.int
length()
Return the length of the byte array being used to store data types.void
packBoolean(boolean b)
Pack the boolean.void
packByte(byte b)
Pack a byte.void
packBytes(byte[] b)
Pack the array of bytes.void
packChar(char c)
Pack the character.void
packDouble(double d)
Pack the double.void
packFloat(float f)
Pack the float.void
packInt(int i)
Pack the integer.void
packInto(OutputBuffer buff)
Pack this buffer into that provided.void
packLong(long l)
Pack the long.void
packShort(short s)
Pack the short.void
packString(java.lang.String s)
Pack the String.void
packStringBytes(byte[] bytes)
void
print(java.io.PrintWriter strm)
Print out information about this instance.void
reset()
Clear the OutputBuffer and rewind the pack pointer.boolean
rewrite()
Reset the pack pointer.boolean
valid()
Is the buffer valid?
-
-
-
Field Detail
-
_valid
protected boolean _valid
-
headerSize
protected static final int headerSize
- See Also:
- Constant Field Values
-
ALIGNMENT
protected static final int ALIGNMENT
- See Also:
- Constant Field Values
-
-
Constructor Detail
-
OutputBuffer
public OutputBuffer()
Create a new buffer.
-
OutputBuffer
public OutputBuffer(int buffSize)
Create a new buffer with the specified initial size. If required, the internal byte array will be automatically increased in size.
-
OutputBuffer
public OutputBuffer(byte[] b)
Create a new buffer using the provided byte array.
-
OutputBuffer
public OutputBuffer(OutputBuffer copyFrom)
Create a new OutputBuffer and initialise its state with a copy of the provided buffer.
-
-
Method Detail
-
valid
public final boolean valid()
Is the buffer valid?
-
buffer
public final byte[] buffer()
Return the byte array used to store data types.
-
length
public final int length()
Return the length of the byte array being used to store data types.
-
copy
public void copy(OutputBuffer b)
Copy the provided OutputBuffer and overwrite the current instance.
-
reset
public final void reset() throws java.io.IOException
Clear the OutputBuffer and rewind the pack pointer.- Throws:
java.io.IOException
-
packByte
public final void packByte(byte b) throws java.io.IOException
Pack a byte. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
packBytes
public final void packBytes(byte[] b) throws java.io.IOException
Pack the array of bytes. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
packBoolean
public final void packBoolean(boolean b) throws java.io.IOException
Pack the boolean. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
packChar
public final void packChar(char c) throws java.io.IOException
Pack the character. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
packShort
public final void packShort(short s) throws java.io.IOException
Pack the short. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
packInt
public final void packInt(int i) throws java.io.IOException
Pack the integer. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
packLong
public final void packLong(long l) throws java.io.IOException
Pack the long. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
packFloat
public final void packFloat(float f) throws java.io.IOException
Pack the float. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
packDouble
public final void packDouble(double d) throws java.io.IOException
Pack the double. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
packString
public final void packString(java.lang.String s) throws java.io.IOException
Pack the String. Currently different from the C++ version in that a copy of the string will always be packed, even if we have previously seen this object. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
packStringBytes
public final void packStringBytes(byte[] bytes) throws java.io.IOException
- Throws:
java.io.IOException
-
packInto
public void packInto(OutputBuffer buff) throws java.io.IOException
Pack this buffer into that provided. If the buffer is invalid then an IOException is thrown.- Throws:
java.io.IOException
-
print
public void print(java.io.PrintWriter strm)
Print out information about this instance.
-
rewrite
public final boolean rewrite()
Reset the pack pointer.
-
-


Slow startup in large project
-
anonymous
Hi, I'm using command-t in a large project, and everytime i open a new instance of vim, it takes around 10 seconds before I can start using command-t properly. I was wondering whether there exists, or whether you can implement a persistant cache mode, similar to what IDEs like eclipse use, so that the folder doesn't have to be scanned every time. This would probably also involve having to manually tell command-t to refresh the cache, but I feel that this would be faster than having a very slow startup every time.
-
Greg Hurrell
See feature request #1833 in the issue tracker. Please add any further comments there.
Closing this topic.
Reply
This topic is now closed.


| Edition 2019-20 Edition 2020-21 |
It is well known that all interesting symmetric 2×2 games like the prisoner's dilemma, the chicken game, battle of the sexes, and stag hunt, can be generated by payoff matrices of the form ((R, S), (T, P)) (reward, sucker, temptation, punishment) where R=1, P=0, -1 ≤ S ≤ 1, 0 ≤ T ≤ 2. In such cases evolutionary dynamics always converges to a fixed population ratio. Based on this information, it is often taken for granted that evolutionary dynamics behaves nicely for all payoff values, but this assumption is not true. For payoff values (S,T)∉[-1,1]×[0,2] the dynamic sometimes becomes unpredictable in the sense that it is difficult to say on the basis of the values of S and T, whether the process converges. In the article of Vilone et al. it is discussed how payoffs outside the conventional S×T rectangle may lead to periodic or chaotic behaviour. A characteristic of the latter is that tiny changes in S and T may lead to radically different dynamics.
Presented byLecturer. |
SlidesT.B.P. |
ScreencastNot available. |
AssignmentNot this year. |


Jet2 Holidays owner warns 'much will depend' on Brexit deal
by Alex DanielThe parent of Jet2 has warned “much will depend” on whether the government gets a Brexit deal for the holiday business’s prospects in the coming years.
Yorkshire-based Dart Group said it was unclear whether Jet2’s demand would remain “buoyant” without knowing how negotiations with the EU will pan out.
Nevertheless, it reported solid trading over the all-important summer period, which saw one of its main rivals, Thomas Cook, fall into liquidation.
Shares rose six per cent today.
Pre-tax profit grew three per cent to £349.8m in the six months ending 30 September. Revenue grew 16 per cent to £2.6bn.
The company sold 2.7m package holidays over the period, up from 2.3m the year before. Meanwhile it’s flight-only product saw an eight per cent growth in passengers to 4.75m.
However, operating profit margin fell two percentage points to 14 per cent. This was down to “cost headwinds” including “fuel, foreign exchange, carbon and other operating charges,” according to chair Philip Meeson.
“Looking further ahead, whether the currently encouraging consumer demand for our products remains buoyant in the medium term is unclear as we believe that much will depend on the UK government securing a pragmatic and balanced Brexit agreement with the EU,” he said.
Meeson added that he expected the company to turn a loss over the quieter winter period, “as is typical for the business”.


| Codon Adaptation Index {cubfits} | R Documentation |
Calculate the Codon Adaptation Index (CAI) for each gene. Used as a substitute for expression in cases of without expression measurements.
calc_cai_values(y, y.list, w = NULL)
y |
an object of format |
y.list |
an object of format |
w |
a specified relative frequency of synonymous codons. |
This function computes CAI for each gene. Typically, this method is completely based on entropy and information theory to estimate expression values of sequences according to their codon information.
If the input w
is NULL
, then empirical values are computed.
A list with two named elements CAI
and w
are returned
where CAI
are CAI of input sequences (y
and y.list
)
and w
are the relative frequencey used to computed those CAI's.
Wei-Chen Chen<EMAIL_ADDRESS>Sharp P.M. and Li W.-H. “The codon Adaptation Index – a measure of directional synonymous codon usage bias, and its potential applications” Nucleic Acids Res. 15 (3): 1281-1295, 1987.
calc_scuo_values()
,
calc_scu_values()
.
## Not run: rm(list = ls()) library(cubfits, quietly = TRUE) y <- ex.train$y y.list <- convert.y.to.list(y) CAI <- calc_cai_values(y, y.list)$CAI plot(CAI, log10(ex.train$phi.Obs), main = "Expression vs CAI", xlab = "CAI", ylab = "Expression (log10)") ### Verify with the seqinr example. library(seqinr, quietly = TRUE) inputdatfile <- system.file("sequences/input.dat", package = "seqinr") input <- read.fasta(file = inputdatfile, forceDNAtolower = FALSE) names(input)[65] <- paste(names(input)[65], ".1", sep = "") # name duplicated. input <- input[order(names(input))] ### Convert to cubfits format. seq.string <- convert.seq.data.to.string(input) new.y <- gen.y(seq.string) new.y.list <- convert.y.to.list(new.y) ret <- calc_cai_values(new.y, new.y.list) ### Rebuild w. w <- rep(1, 64) names(w) <- codon.low2up(rownames(caitab)) for(i in 1:64){ id <- which(names(ret$w) == names(w)[i]) if(length(id) == 1){ w[i] <- ret$w[id] } } CAI.res <- sapply(input, seqinr::cai, w = w) ### Plot. plot(CAI.res, ret$CAI, main = "Comparison of seqinR and cubfits results", xlab = "CAI from seqinR", ylab = "CAI from cubfits", las = 1) abline(c(0, 1)) ## End(Not run)


What is JHPCE?
JHPCE or the Joint High-Performance Computing Exchange is a computation resource available to members at the Johns Hopkins Medicial Institute (JHMI). Several research groups across the School of Public Health and School of Medicine tap into the power of JHPCE to run computationally expensive analyses - our transplant epidemiology group included.
The JHPCE introduction to new users describes some use cases. This blog will be a brief introduction to getting your system ready to log onto the JHPCE cluster to use Stata-MP. This multi-core version of Stata is licensed to our group and can be accessed on JHPCE by stakeholders .
Command Line
JHPCE is a linux-based computing system. In order to interact with JHPCE you’ll need to use Linux command line prompts. Basic commands are covered during new user orientation. There are also plenty of Linux resources available online. I’ll provide some basic commands throughout this post.
Mac/Linux Installation Guide
If you are working on a Mac or Linux machine then you don’t need any prerequisites! This is because Mac and Linux both come with command line tools that are robust and pretty easy to use. For Mac users just open up the “Terminal” app. For Linux users - well you probably already know what to do if you’ve installed Linux on your machine.
You can skip past the next section stil you won’t need to install any additional software.
Windows Installation Guide
If you are working on a Windows machine then you’ll need to download some software to make getting on the cluster painless. While I’m sure you can get PowerShell or the Command Prompt to work for you, installing something like MobaXterm or Cygwin is preferable.
MobaXterm
MobaXterm is a user-friendly X11 server, SSH client, and command line application. This makes MobaXterm the recommended tool for most people - in fact the JHPCE admins also recommend it.
Since the JHPCE blog already covers the installation and set-up, I’m not going to do a detailed installation guide. If you have any questions or issues with the installation feel free to reach out.
Cygwin
I personally use Cygwin. Cygwin creates a Linux-like environment on your Windows machine. It’s not as user friendly as my next recommendation, but Cygwin better fits my needs and specific use-case. I use Mac and Windows machines on a daily basis. Being able to sync .bash_rc files and the general structure of commands makes my transitions between machines seemless. If you plan to become a JHPCE cluster power-user, or if you use multiple OSes on a daily basis, then I would recommend downloading Cgywin.
There’s definitely a learning curve to Cygwin and I won’t be covering all the details in this post. To get started, I would recommend downloading CygwinX. CygwinX is a version of Cygwin that also comes with an X Window Server. As I mentioned before, interacting with the JHPCE cluster will primarily be through command line prompts. Not everyone is comfortable with command line, and even if you are there are times where it’s nice to see a window with buttons that you can click. X Window allows you to get that classic Stata window on your machine even though you’re technically running it off the cluster.
Installing CygwinX is the same as installing Cygwin for the most part. First go to the Cygwin downloads page. If you have a modern 64-bit verion of Windows, then install the 64-bit version. After opening up the installer, you will be prompted to choose a download source. Any mirror will suffice. You will also need to choose a default location for Cygwin packages. You can keep this anywhere.
Cygwin, by default, only includes the minimal base packages required to get Cygwin running. I really appreciate this, but it does make the installation process very confusing for someone unfamiliar with working with the command line. You can use the serach function to add some additonal packges. You should at least install xinit
so that you can use the X Windows System.
- Here are some recommended packages
nano
a text editorvim
another text editorzip
a ZIP file compression utilitygit
a version control languagemintty
an emulator to given Cygwin a Terminal-like feelxinit
X Window utilityR
a statistical languagexclip
a command line clipboard grabber
After you finish the installation, boot up Cygwin and move on to the next section
Getting onto JHPCE
During JHPCE orientation, you’ll be introduced to the JHPCE cluster and set-up 2-factor authentication. While the security benefits of 2-factor authentication are valuable, it is not always the easiest practice to abide by when you log onto the cluster multiple times per day. JHPCE admins allow users that abide by Hopkins IT recommendations (encrypted hard drive and password protected machines) to use SSH to bypass 2-factor authentication.
with SSH your cluster account will recognize the machine you’re logging in from and let you get on with no extra fuss. The JHPCE introductions can be found here.


--- layout: post status: publish published: true title: Podcast 4.43 - "Aliens" author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 7904 wordpress_url: http://ivyenvy.com/?p=7904 date: '2012-11-13 22:35:04 +0000' date_gmt: '2012-11-14 04:35:04 +0000' categories: - Podcast tags: - Podcast - cubs.com - Scott Baker - Ryu Hyun-Jin comments: [] ---
Andy, Corey and Kurt discuss the Cubs free agent signing of Scott Baker. Is this the type of free agent signing we can expect in this off-season? The Cubs come up short on the bidding war for Ryu Hyun-Jin. Should Cubs fans be concerned when the Cubs are unable to secure players in these situations?
We check in with the players in the Cubs organization that are playing in the Arizona Fall League one last time. Kurt shows us some Cubs.com Comment Internet Muscle Flexing and we pick a winner for this week's photo caption contest:


Jennifer Lopez didn’t get paid to star in and produce Hustlers
Jennifer Lopez chose passion over a pay cheque when it came to Hustlers as the actress has revealed she didn’t get paid to star in or produce the movie.
Hustlers sees the Love Don’t Cost A Thing singer play Ramona, a stripper who starts a side scam to swindle money out of unwitting Wall Street bankers by drugging them.
The movie was well-received by fans and critics who are predicting Jennifer, 50, to earn an Oscar nomination for her performance.
It was also a box office success after grossing an estimated $148.5 million (£113.8 million) worldwide.
So with all that success, it’s given us whiplash to find out that Jennifer apparently didn’t get paid a dime for the movie.
Speaking in GQ’s Men of the Year issue – in which she’s named one of them – Jennifer said: ‘I didn’t get paid a whole bunch of money for Hustlers.’
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Say what?
She added: ‘I did it for free and produced it. Like Jenny from the Block — I do what I love.’
We get the whole passion thing but, honestly, we’d take the dollars.
According to Celebrity Net Worth, Jennifer is worth an estimated $400 million (£306 million) so she probably can afford to miss out on a few other millions.
Later in the interview, Jennifer went on to explain how her fiance Alex Rodriguez has made her better at managing money when it comes to her business ventures.
The Jenny From The Block singer explained: ‘When I first met him, I was telling him about my perfume business. He loves business…
‘And he knew that I was a creative person who had clothing lines, perfume lines, and had some success in consumer sales.
‘So I was telling him a story. And he was like, “Wait, what did you say? How much did you make? I think there’s a better way to do it”.’
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The Selena actress revealed how she’s now investing in her own businesses as opposed to licensing.
She states honestly: ‘You wind up making billions of dollars for people, but you’re still having to hustle.’
Oh and FYI, Jennifer insists that money doesn’t make her horny. Just for the record, of course.
While J.Lo claims to have worked for free on Hustlers, her co-star Cardi B recently boasted about her salary from starring in the film.
Speaking to Ellen DeGeneres, Cardi said last month: ‘I enjoyed it. I couldn’t believe that I was on set for, like, 16 hours. Like, goddamn, is this what actors and actresses got to go through?
‘I’m going to shoot for a film this month. I enjoy the checks.’
The Men of the Year issue is on stands 19 November.
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These Bavarian specials are perfect for a potluck. They're warm, flavourful, and hearty, so you'll know they are crowd pleasers that are great for serving large groups of people. Your friends and family will be coming back for second helpings of these traditional German dishes.
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Traditional Bavarian recipes that are quick and easy, so you can have them on the table in no time. Or teach them to the rest of the family, so everyone can appreciate!
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Tomatoes are planted for their red fleshed fruits when ripe. Tomatoes have a variety of uses in cooking soups, making salads and even in the manufacture of tomato paste or sauces among other uses. The common markets for tomatoes include Mbare Musika Market , Food Lovers and other major supermarkets, restaurants and tomato sauce manufacturers.
Tomatoes are best transplanted from seedbeds or trays to the field ,6-8weeks after emergence. Seedlings can be hardened when they have 3-5 true leaves and are pencil thick or approximately 12 cm tall. Planting is done using 300 mm to 500 mm in row and 1.5 – 2 m between rows spacing.
It is an open field variety which matures in 80-90days. Fruits are deep oblate to globe in shape. Fruit mass averages between 120-150g and possesses a fair shelf life.
Determinate tomato variety (has definite flowering and fruiting).Fruits are firm with very good red color both internal and external color. A mature fruit weighs between 90-120g