These statistics tables, written when the MessageLogger service encounters its postEndJob callback, include:
process TEST = service = MessageLogger { vstring destinations = { "error_messages.txt" } vstring statistics = { "statistics.txt" , "another_stats" , "error_messages.txt" } PSet statistics.txt = { string threshold = "WARNING" } PSet anotherStats = { string output = "more_stats.txt" } PSet error_messages.txt = { string threshold = "ERROR" } } untracked PSet maxEvents = {untracked int32 input = 5} path p = { myAnalysisModule } module myAnalysisModule = ModuleThatIssuesMessages { } source = EmptySource { } }The vstring statistics = { "statistics.txt" , "another_stats" , "error_messages.txt" } directs the system to attach a three statistics destinations, to be controlled by parameter sets named statistics.txt, another_stats, and error_messages.txt. (Normally, only one statistics destination is desired; here we use three to illustrate various control options.)
PSet statistics.txt = { string threshold = "WARNING" } directs statistics.txt to respond to (and keep track of) only LogError and LogWarning messages. Statistics destinations do not impose limits for each category (they only count the messages anyway) but they are sensitive to thresholds of which severities to report about.
PSet anotherStats = { string output = "more_stats.txt" }
directs the statistics destination controlled by the anotherStats PSet
to write its output to the file more_stats.txt. If no output were specified,
then the statistics destination would write its summary to a file with the
name listed in the statistics
vstring. For example, with the
above .cfg file, the statistics.txt destination would write to
statistics.txt.
PSet error_messages.txt = { string threshold = "ERROR" } controls both the error_messages.txt output destination, and the error_messages.txt statistics destination. Thus that statistics destination will respond with a threshold of LogError, and will write its end-of-job summary to the end of the file error_messages.txt.
In general, any statistics destination whose output file name (as determined
either by an explicit output
string or implicitly as the
same name used to control the destination) matches the file of an ordinary
destination, will write its summary output at the end of that ordinary
destination's file.
Here is a sample statistics summary output:
Process type category sev module subroutine count total ---- -------------------- -- ---------------- ---------------- ----- ----- 1 cat_A -w UnitTestClient_A 3* 3 2 cat_B -w UnitTestClient_A 3* 3 3 cat_A -e UnitTestClient_A 3 3 4 cat_B -e UnitTestClient_A 3 3 * Some occurrences of this message were suppressed in all logs, due to limits. type category Examples: run/evt run/evt run/evt ---- -------------------- ---------------- ---------------- ---------------- 1 cat_A 1/1 1/2 1/3 2 cat_B 1/1 1/2 1/3 3 cat_A 1/1 1/2 1/3 4 cat_B 1/1 1/2 1/3 Severity # Occurrences Total Occurrences -------- ------------- ----------------- Warning 6 6 Error 6 6
While ordinary analysis code probably has no need to invoke this,
one can use the framework's features to set up a sensible schedule of
outputting statistics.
For example, one can place a call to
edm::LogStatistics()
in a postRun callback.
The default behavior is to output the statistics thus far accumulated,
and then to continue collecting statistics.
If, for some statistics destination, it is preferable that the statistics
be reset to zero after each summary output, this can be directed in the
PSet for that statistics destination:
Of course, the
The edm::LogStatistics() Function
The user program can force each statistics destination to write its current
message counts and summary to its file or stream, before the end of job
automatically causes that writing. To do this, invoke the function
edm::LogStatistics();
(Just as for edm::LogError() and the other message commands, this function
is defined by including MessageLogger.h
).
process TEST =
service = MessageLogger {
vstring destinations = { "error_messages.txt" }
vstring statistics = { "statistics.txt", "runstats.txt" }
PSet statistics.txt = { string threshold = "WARNING" }
PSet runstats.txt = { bool reset = true }
}
untracked PSet maxEvents = {untracked int32 input = 5}
path p = { myAnalysisModule }
module myAnalysisModule = ModuleThatIssuesMessages { }
source = EmptySource { }
}
In this example, the statistics kept by
runstats.txt
will be reset after each statistics output
triggered by edm::LogStatistics()
.
bool reset
parameter is moot if the
program never explicitly invokes edm::LogStatistics()
, since
it is immaterial whether the statistics are reset after the final automatic
end-of-job summary is output.
Mark Fischler
Last modified: November 29, 2005


|
goog.module.initLoader(urlBase, opt_urlFunction)
Wrapper of init() so that we only need to export this single
identifier instead of three. See method goog.module.Loader.init() for
explanation of param.
Arguments:
|
code » | ||||
|
Checks if the given element is null.
|
code » | ||||
|
Produces a function that delegates all its arguments to a
dynamically loaded function. This is used to export dynamically
loaded functions.
|
code » | ||||
|
goog.module.provide(module, opt_symbol, opt_object)
Wrapper of goog.module.Loader.provide() for use in modules
See method goog.module.Loader.provide() for explanation of params.
Arguments:
|
code » | ||||
|
goog.module.require(module, symbol, callback)
Wrapper of goog.module.Loader.require() for use in modules.
See method goog.module.Loader.require() for
explanation of params.
Arguments:
|
code » | ||||
|
goog.module.requireMultipleSymbols(symbolRequests, finalCb)
Requires symbols for multiple modules, and invokes a final callback
on the condition that all of them are loaded. I.e. a barrier for
loading of multiple symbols. If no symbols are required, the
final callback is called immediately.
Arguments:
|
code » | ||||
|
goog.module.requireMultipleSymbolsHelper_(symbolRequests, i, finalCb)
Used by requireMultipleSymbols() to load each required symbol and
keep track how many are loaded, and finally invoke the barrier
callback when they are all done.
|
code » |


Without any doubt, Java is a verbose language. This verbosity of the language makes it easy to understand Java code by new programmers. It is though one of the reasons, why many Java programmers find writing Java code tedious. Kotlin brings a touch of succinctness in places, where even programmers new to Java, may find code unnecessarily over-bloated.
How many times have you had to do the same thing over and over again:
private A updateA(A objA, B objB) {
objA.setC(objB.getC());
objA.setD(objB.getD());
return objA;
}
Having an object, you want to modify some of its properties and simply return the same object. In Java, you can’t do this in a single chained fashion. In Kotlin, you can squeeze the above method to the following single line of code:
fun updateA(objA: A, objB: B): A = objA.apply { c = objB.c; d = objB.d }
apply()
By definition, apply
accepts a function, and sets its scope to that of the object on which apply has been invoked. This means that no explicit reference to the object is needed. Apply()
can do much more than simply setting properties of course. It is a transformation function, capable of evaluating complex logic before returning. At the end, the function simply returns the same object (with the added changes), so one can keep using it on the same line of code.
Note: Please, note as well the direct use of properties instead of explicitly calling getters and setters. This is not a bad practice, since Kotlin implicitly invokes provided getters and setters of a property, when working with the property (similar to C#).
copy()
Please, remember that using apply on an object is NOT a thread-safe operation, and mutates the state of the object. If you want to retain the original object and return an immutable copy of it, you can use the function copy()
, provided in all instances of data classes.
Assuming that your class contains only data (usually a good practice to separate logic from data), you can turn it into a data class:
data class User(val name: String, val age: Int)
Data classes have a few advantages, and one of them is definitely the copy()
function, provided to each and every instance. It not only provides a copy of the original object, leaving its state intact, but also allows setting new values to some of its properties at copy-time:
val user1 = User("John Smith", 24)
val user2 = user1.copy(age = 31)
Kotlin supports named parameters, known from other languages, such as Python and Scala. In this case, they make life much easier, as all you need to do, is specify the name of the particular property (or properties) you want to modify by copying.
At the end you can combine the power and succinctness of both apply()
and copy()
by calling apply after copying:
val user2 = user1.copy(age = 31).apply { // execute some logic here }
Leave a comment


The window and step sizes for most sliding-window applications are constant. Some applications, however, require window and step sizes to change, depending on the values in streams. Machine learning applications may need the window size to increase, while the starting point of the window doesn't move, until prediction error drops below a threshold. Adjustable windows allow you to write applications that change window and step sizes.
Step size must be nonnegative If the step size is negative then the agent is reading elements backwards (earlier) in the stream; and those elements may have been moved from main memory to archival storage. Later, you will write code to access this archival storage, but for the time being, we will write code that only uses data in main memory.
Step size should become positive eventually If the step size remains zero forever, then the entire stream from that point remains in main memory forever, and this could cause memory overflow if the stream grows.
In some applications, the step size stays zero for some time and then increases, but does not stay zero forever. While the step size remains zero, the starting point of the window does not move. The starting point of the window moves forward by step size when the step size is positive.
Window size must be positive The agent operates on a window
(i.e., a list) of size, window_size
, and this list must
be nonempty.
The adjustable window function, awf is similar to the window
function wf. The function, func
that is wrapped in
awf
is passed the current window and step sizes as
parameters and func
returns the new window and step
sizes. By contrast, the function wrapped in wf
is not
passed, nor does it return, window and step sizes because they are
constants. The signatures for awf
and wf
are
identical.
awf(inputs, outputs, func, window_size, step_size,
state=None, call_streams=None, **kwargs)
wf(inputs, outputs, func, window_size, step_size,
state=None, call_streams=None, **kwargs)
The signatures for func
are different.
func(x, window_size, step_size)
func(x)
x
is either a list (a window into a single input
stream) or a list of lists (a list of windows into multiple input
streams).
Return values
awf:
(y, window_size, step_size)
wf:
y
where y
is either a single element of a stream for a
single output stream) or a list (an element for each output stream for
an agent with multiple output streams).
Problem: Write a function that creates an agent with a
single input stream, x
, and a single output stream,
y
. If the sum of elements in the current window into
stream x
exceeds threshold
then the window
and step sizes are decreased; otherwise the window and step sizes are
increased.
The parameters to the wrapped function h
are:
window, window_size, step_size, threshold
where
threshold
is a keyword parameter. The value for
threshold
is passed to awf
as a keyword
argument: threshold=40
def h(window, window_size, step_size, threshold):
if sum(window) > threshold:
window_size -= 1
step_size -= 1
else:
window_size += 1
step_size += 1
return (sum(window), window_size, step_size)
initial_window_size = 5
initial_step_size = 5
awf(x, y, h, initial_window_size, initial_step_size, threshold=40)
Problem: Write a function that creates an agent with a two
input streams, u
and v
, and a single output
stream, y
. The agent calculates the standard deviation of
the windows into each of the input streams and the agent's next output
is the maximum of the standard deviations. If this next output is
greater than a percent increase over the last output, i.e. if
next_output > (1 + percent_increase/100.0) * last_output
then the window size and step size are increased; otherwise the window
and step sizes are decreased, provided that they do not decrease below
min_window_size
( which is set to 4 in this example).
The initial window and step sizes are 5, and the initial value of the
last output is 0.
Solution:
The state of the computation is the last output. It is entered here as a
positional parameter after inputs [u,v]
, outputs
y
, func h
, window_size initial_window_size
,
step_size initial_step_size
:
awf([u,v], y, h, initial_window_size, initial_step_size,
last_output,..)
The remaining parameters, percent_increase
and
min_window_size
are keyword arguments and are passed to
awf
as keyword parameters:
awf([u,v], y, h, initial_window_size, initial_step_size, last_output,
percent_increase=5.0, min_window_size=4)
def h(list_of_windows, window_size, step_size, last_output,
percent_increase, min_window_size):
next_output = max([np.std(window) for window in list_of_windows])
if next_output > (1 + percent_increase/100.0) * last_output:
window_size += 1
step_size += 1
elif window_size > min_window_size:
window_size -= 1
step_size -= 1
# return output, next window size, next step size, next state
return (next_output, window_size, step_size, next_output)
initial_window_size = 5
initial_step_size = 5
last_output = 0
awf([u,v], y, h, initial_window_size, initial_step_size, last_output,
percent_increase=5.0, min_window_size=4)
Problem: Write a function that creates an agent with a single
input stream, w
and three output streams x
,
y
, and z
which contain the maximum, the
minimum, and the spread (maximum - minimum) of values into a window of
the input stream. If the spread (dif
in the code) is less
threshold
then the window size is increased; otherwise
the window size is decreased provided it exceeds
min_window_size
.
def h(window, window_size, step_size, threshold, min_window_size):
mx = max(window)
mn = min(window)
dif = mx - mn
if dif < threshold:
window_size += 1
step_size += 1
elif window_size > min_window_size:
window_size -= 1
step_size -= 1
return ([mx, mn, dif], window_size, step_size)
initial_window_size = 6
initial_step_size = 6
awf(w, [x,y,z], h, initial_window_size, initial_step_size,
threshold=15, min_window_size=1)
Problem: Write a function that creates an agent with two
input streams u
and v
and two output streams
y
and z
and a call stream
a
. The agent takes a step only when it reads a new value
in the call stream.
The agent computes the mean and the standard
deviation for the window of each of its input streams. An element of
y
is the mean over all input streams of the window means:
np.mean([np.mean(window) for window in list_of_windows])
and an element of z
is the mean over all input streams of
the window standard deviations:
np.mean([np.std(window) for window in list_of_windows])
If the ratio of the standard deviation
to the mean exceeds a parameter ratio
then the window and
step sizes are increased; otherwise they are decreased.
The point made by this example is that until the call stream
a
gets a value, the agent does nothing even though its
input streams, u
and v
, have unprocessed
values. When the agent reads the first element in a
it
processes the unprocessed elements in its input streams. Then more
elements are added to the agent's input streams and the agent remains
idle. When the agent reads the next element in a
it
processes these unprocessed elements in its input streams. Thus, the
points at which elements are added to a
controls the
points at which the agent processes its unprocessed elements.
def h(list_of_windows, window_size, step_size,
ratio, min_window_size):
avg = np.mean([np.mean(window) for window in list_of_windows])
std = np.mean([np.std(window) for window in list_of_windows])
if std > ratio * avg:
window_size += 1
step_size += 1
elif window_size > min_window_size:
window_size -= 1
step_size -= 1
return ([avg, std], window_size, step_size)
initial_window_size = 6
initial_step_size = 6
awf([u,v], [y,z], h, initial_window_size, initial_step_size,
call_streams=[a], ratio=0.6, min_window_size=4)


Interface KernelInterface
Objects that implement the KernelInterface can be used by the FastCGIDaemon to
Direct known implementers
PHPFastCGI\FastCGIDaemon\CallbackWrapper
public
Psr\Http\Message\ResponseInterface|Symfony\Component\HttpFoundation\Response
|
#
handleRequest(
Handles a request and returns a response. |


You may have noticed a curious red-and-white structure just visible in the distance. This is the Harrison-Denver Intake Crib, better known as Two-Mile Crib. It is the water’s first stop on its journey from Lake Michigan to the faucets of millions of Chicago residents and businesses. This crib was completed in 1935, but the city has relied on structures like this for safe drinking water for roughly 150 years. Today, Chicago has four active water intake cribs that together deliver more than a billion gallons of water a day for millions of thirsty people in Chicago and some neighboring communities.
Closer to shore—and much easier to see—is another building that helped the Windy City become what it is today: the Chicago Harbor Lighthouse. This lighthouse has guided water traffic into the Chicago River for over a century. And its predecessor did the same for more than 50 years before. Together, they helped the Chicago Harbor become the most important in the region and turned the city into one of the world’s busiest ports.


Presented by Tom Friedhof
We are a full service Digital Agency.
We've had the opportunity to work with
|
|
||||
We don't just build websites, we don't just do marketing, we help your entire business use technology better.
Questions about anything in the folders?


- Using python write a tool which generates a random subsampling tool for sequences. Given a FASTA sequence database file, which has 100,000 sequences, generate a new file which is a random subset these sequences selecting only 10% of them. Make this 10% an option in the program so it is easy to change to 20%, etc.
See the script ‘rand_shuffle_seqs.py’ in the homework template
- Run RNAseq analysis to compute the gene expression for two experiments. We will use data from this paper on light induction in bacterium Prochlorococcus
See this paper:
Thompson et al. PLoS One 2016; 11(10): e0165375 doi: 10.1371/journal.pone.0165375
Here is a view of the sequencing data. All data are on cluster in this folder /bigdata/gen220/shared/projects/HW4/hw4_template
Also you can get it from the web directly yourself. https://www.ebi.ac.uk/ena/data/view/PRJNA315575
The data for one timepoint: 0hrs light
Go and get the fastq files to process - see the download script
Light 0hr
The data for another timepoints: 4hrs light
The fastq files to process
Here is the Prochlorococcus marinus subsp. pastoris str. CCMP1986 genome: GCF_000011465.1. The RefSeq for this genome is at that link.
Can be obtained from this link
And the GFF
- Use Hisat2, samtools, and stringtie to generate a table of expression for these two experiments
- Write a python script that will generate a report with 5 columns of data. Gene Name, Chromosome, Start, End, Strand, Gene Length, FPKM exp1, FPKM exp 2
- Using R or other tools, make these plots
- Plot gene expression from exp1 vs gene expression of exp 2
- Plot gene length vs expr1 expression (FPKM). Is there a relationship?
- Plot gene location vs expr2 (FPKM). Is there any relationship?
- print a list of genes which are > 2 fold higher in the 4hr time point?


{% extends "base.html" %}
{% block content %}
What's new in the project
21.10.2019
- [Changed] Update only project urls after pressing Update All button
- [Fixed] Error message "local variable 'google_response' referenced before assignment"
18.10.2019
- [Fixed] Projects could not be deleted
- [Changed] Increased task timeout up to 600 sec (10 min)
- [Changed] Updated dependencies
19.02.2019
- [Added] Projects (add, edit, delete projects)
- [Added] Character count for fields with text length limitations
03.02.2019
- [Added] Detect user timezone during local registration (based on moment.js)
- [Added] Universal datepicker for Add and Edit forms
- [Added] Timezone selector in Account (based on moment.js)
- [Changed] Internationalized datepicker and partially dashboard dates
29.01.2019
- [Added] Edit button and edit form to every URL
- [Changed] Every GA check will update the dashboard stats with fresh stats
- [Changed] Updating the GA profiles will recheck stats automatically instead only
deleting them
- [Changed] Position of background jobs notifications is now after flask notifications
- [Changed] Max URL length is 400 characters now
- [Fixed] Missing trailing slash was not added automatically
- [Fixed] Word wrap was applied to all the table
28.01.2019
- [Added] Old URL for changed URLs
- [Added] Description of the change
- [Added] Old URL and description to Add URL form and dashboard
- [Changed] Radio buttons to checkboxes for API settings
- [Fixed] Showing stats for the same URL with different dates of change
- [Fixed] Additional spaces at the end of the URL would prevent showing stats at all
27.01.2019
- [Added] If you add a new URL, we put the link automatically in the background job to
check stats
- [Added] Refresh icon is activated for every link
- [Added] Icon for external link is added to every URL
- [Added] All available Google Analytics accounts, properties and profiles
are listed now in /account#api
- [Added] If several profiles for the same URL are set in Google Analytics,
you can select the right one in CopyTrack
- [Added] User rate limitation for number of request per 100 seconds and others to
Google API
are handled with exponential backoff function now
- [Added] Error of background jobs are shown, and colored red
- [Added] JP non-unicode links are converted to unicode now
- [Added] New way to check, if you have permission to check URL
- [Added] General URL validation while adding URL
- [Added] Integrated Sentry to catch exceptions
- [Fixed] Publication date of some link were set wrong sometimes
21.01.2019
- [Added] Background jobs for long backend tasks
- [Added] Dynamic stats updating progress seen from each tab
- [Added] Force revoke button to settings
- [Added] More logic for missing refresh token
15.01.2019
- [Changed] Removed add and delete url forms
- [Added] Button to delete each link separately
- [Added] Add url button, which call the pop-up form
- [Added] Link in the table to add or change periods
14.01.2019
- [Added] Reset your password by email (from login screen)
- [Added] Mail system
- [Added] Special logic and templates to reset password for "Sign in with Google" users
- [Added] Responsive emails (inc. HTML and plain text versions)
13.01.2019
- [Changed] New account menu divided by categories
- [Changed] First column in the dashboard table is limited
- [Changed] Table is now responsible and can be scrolled horizontally
11.01.2019
- [Changed] Website messages are colored correctly red for errors, green for success,
blue for info
- [Added] Delete all URLs button and confirmation in the settings
- [Changed] More validation to periods, entered by user
- [Fixed] Collisions between "Sign in with Google", if an email is already registred
09.01.2019
- [Added] Sign in with Google
- [Fixed] GA Authorization, updated OAuthlib and related packages
- [Added] More compatibility with IE
- [Changed] Simplified login and registration forms for IE compatibility
08.01.2019
- [Changed] New design for sign in and register forms
- [Added] Mobile responsiveness
- [Added] Switched to HTTP/2
03.01.2019
- [Added] Retrieve data about Google Analytics accounts, properties and views
- [Added] Save GA meta data inc. time zones to database
- [Changed] Time shifting base on user time zone and GA time zone
- [Added] Retrieve GA stats only from authorized accounts
- [Added] Button to revoke access in account settings
- [Added] Display user time zone in account settings
02.01.2019
- [Added] Authentication to access Google Analytics data made by user
- [Added] Save access and refresh token to database
- [Added] Link to start authentication placed in dashboard
28.12.2018
- [Added] Sorting links on dashboard by the date, they were added (Account)
- [Added] Ability to change the tracking periods (Account)
- [Changed] Stats are retrieved only after pressing "Update All"
- [Fixed] Positive change in bounce rate is marked in red
{% endblock %}


Welcome to My Portfolio
I'm a professional person with extensive experience for over 5
years.
ABOUT ME!
I’m a Business Consultant living in Sylhet,Bangladesh. I spend my days with my hands in many different areas of Business Development.
<EMAIL_ADDRESS>+880<PHONE_NUMBER>
Chamelibagh Residential Area, Majortilla,Sylhet,Bangladesh.
Also find me social media below
My Stories!
I wanted to write a book that talked about the emotions of children, which is the rainbow. We all have moods. We talk about being blue when we're sad, and being yellow when we're cowards, and when we're mad, we're red.
19, September


|
||||||||||
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OutputStream
and Writer
.
See:
Description
| Class Summary | |
| ByteArrayOutputStream | This class implements an output stream in which the data is written into a byte array. |
| CountingOutputStream | A decorating output stream that counts the number of bytes that have passed through the stream so far. |
| DeferredFileOutputStream | An output stream which will retain data in memory until a specified threshold is reached, and only then commit it to disk. |
| DemuxOutputStream | Data written to this stream is forwarded to a stream that has been associated with this thread. |
| LockableFileWriter | FileWriter that will create and honor lock files to allow simple cross thread file lock handling. |
| NullOutputStream | This OutputStream writes all data to the famous /dev/null. |
| NullWriter | This Writer writes all data to the famous /dev/null. |
| ProxyOutputStream | A Proxy stream which acts as expected, that is it passes the method calls on to the proxied stream and doesn't change which methods are being called. |
| ProxyWriter | A Proxy stream which acts as expected, that is it passes the method calls on to the proxied stream and doesn't change which methods are being called. |
| TeeOutputStream | Classic splitter of OutputStream. |
| ThresholdingOutputStream | An output stream which triggers an event when a specified number of bytes of data have been written to it. |
This package provides implementations of output classes, such as
OutputStream
and Writer
.
|
||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


CN Schedule
Please enable Javascript!
Our app rely on it to fetch, store and display the data.
Thanks!


*Click on any one of the dots in the tweleve states to see the number of disaster declarations in that time period.


{% extends "nuvola.html" %} {% import "snippets.html" as snippets %} {% macro install_flatpak_with_software_manager() %}
Flatpak is a cross-distribution framework for distribution and running of sandboxed applications. XDG Desktop Portal provides {{ nuvola.name }} with desktop integration.
All packages are preinstalled in Linux Mint Cinnamon, Mate and XFCE editions. If you have removed them, you can install them by clicking the links below and then restart your computer to add Flatpak paths alongside the system ones. Otherwise, you may see strange errors. Unfortunately, just logging out and logging in is not enough.
Click to install Flatpak with Software Manager
Click to install XDG Desktop Portal with Software Manager
Alternatively, launch a Linux terminal emulator and type the command below and press the Enter key to install these packages.
sudo apt install flatpak xdg-desktop-portal-gtk
{{ add_repositories_with_software_manager() }}
{% endmacro %}
{% macro add_repositories_with_software_manager() %}
The Flathub repository provides GNOME Platform runtime, which is used by Nuvola to share common dependencies with other Flatpak apps to reduce disk & memory usage. The Nuvola Player repository contains Nuvola Player Service and individual integration scripts.
Click to install Flathub repository with GNOME Software
This repository is preinstalled in Linux Mint Cinnamon, Mate and XFCE editions, so you need to install it only if you have removed it.
Click to install Nuvola Player repository with GNOME Software
Software Manager might show a misleading error message "The Flatpak repo you are trying to add already exists." It seems to check the presence of the repository twice: Once before installation and then again after installation, which obviously leads to the error message.
Refresh Software Manager package cache: Launch Software Manager and select Refresh the list of packages from the hamburger menu.
Alternatively, launch a Linux terminal emulator and type the following commands:
flatpak remote-add --if-not-exists flathub https://dl.flathub.org/repo/flathub.flatpakrepo
flatpak remote-add --if-not-exists nuvola https://dl.tiliado.eu/flatpak/nuvola.flatpakrepo
flatpak update
{% endmacro %}
{% macro install_nuvola_service_with_software_manager() %}
{{ snippets.about_nuvola_service() }}
In order to install Nuvola Player Service with Software Manager,
Alternatively, launch a Linux terminal emulator an run the following command:
flatpak install nuvola {{ nuvola.uid }}
{% endmacro %}
{% block tab_content %}
{{ install_flatpak_with_software_manager() }}
{{ install_nuvola_service_with_software_manager() }}
{{ snippets.install_individual_apps(apps, distro_spec) }}
{% endblock %}


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27 The word and sentence library has these blocks: This library has the goal of recreating the Logo approach to handling text: A text isn’t best viewed as a string of characters, but rather as a sentence, made of words, each of which is a string of letters. With a few specialized exceptions, this is why people put text into computers: The text is sentences of natural (i.e., human) language, and the emphasis is on words as constitutive of sentences. You barely notice the letters of the words, and you don’t notice the spaces between them at all, unless you’re proof- reading. (Even then: Proofreading is diffciult, because you see what you expect to see, what will make the snetence make sense, rather than the misspelling in front of of your eyes.) Internally, Logo stores a sentence as a list of words, and a word as a string of letters. Inexplicably, the designers of Scratch chose to abandon that tradition, and to focus on the representation of text as a string of characters. The one vestige of the Logo tradition from which Scratch developed is the block named leer (1) of (world), rather than character (1) of (world). Snap ! inherits its text handling from Scratch. In Logo, the visual representation of a sentence (a list of words) looks like a natural language sentence: a string of words with spaces between them. In Snap ! , the visual representation of a list looks nothing at all like natural language. On the other hand, representing a sentence as a string means that the program must continually re-parse the text on every operation, looking for spaces, treating multiple consecutive spaces as one, and so on. Also, it’s more convenient to treat a sentence as a list of words rather than a string of words because in the former case you can use the higher order functions map, keep, and combine on them. This library attempts to be agnostic as to the internal representation of sentences. The sentence selectors accept any combination of lists and strings; there are two sentence constructors, one to make a string (join words) and one to make a list (sentence). The selector names come from Logo, and should be self-explanatory. However, because in a block language you don’t have to type the block name, instead of the terse butrst or the cryptic bf we spell out “all but ﬁrst of” and include “word” or “sentence” to indicate the intended domain. There’s no rst leer of block because leer 1 of serves that need. Join words (the sentence-as-string constructor) is like the primitive join except that it puts a space in the reported value between each of the inputs. Sentence (the List-colored sentence-as-list constructor) accepts any number of inputs, which can be words, sentences-as-lists, or sentences-as-strings. (If inputs are lists of lists, only one level of ﬂattening is done.) Sentence reports a list of words; there will be no empty words or words containing spaces. The four blocks with right-arrows in their names convert back and forth between text strings (words or sentences) and lists. (Splitting a word into a list of letters is unusual unless you’re a linguist investigating orthography.) Printable takes a list (including a deep list) of words as input and reports a text string in which parentheses are used to show the structure, as in Lisp/Scheme. The pixels library has one block: Costumes are ﬁrst class data in Snap ! . Most of the processing of costume data is done by primitive blocks in the Looks category. (See page 79.) This library provides snap, which takes a picture using your computer’s camera and reports it as a costume.


--- title: "FALL GARDEN MAINTENANCE" date: "2000-01-01 19:10:04 -06:00" categories: - adult subtitle: "" layout: "events" event-image: "fall-garden-maintenance.jpg" event-dates: "THURSDAY, OCT 3 & SATURDAY, OCT 5" event-location: "Red Butte Garden Classroom" button-type: "register" tickets-link: "https://continue.utah.edu/lifelong/class/llhg_551_fall_garden_maintenance" registration-info: "Lifelong Learning: LLHL 551" instructor-info: "Angie Decker, Red Butte Garden Horticulturist" member-cost: "$71" public-cost: "$78" event-notes: "" tickets-button: "" published: false ---
THURSDAY, OCTOBER 3 @ 6 - 9PM and SATURDAY, OCTOBER 5 @ 10AM - 1PM
REGISTRATION REQUIRED
Get a jump on spring gardening this fall. Simple garden clean-up along with dividing, transplanting, pruning, and mulching will leave you ahead of the game come spring. We'll discuss which perennials to cut back and which to leave until spring, tips for healthy fall transplanting, dividing irises and bulbs, which trees and shrubs can be pruned in fall, and how to protect your garden through mulching. Join us in the Garden as we get hands-on experience cutting back perennials, dividing, transplanting, and pruning. Co-sponsored with Lifelong Learning. Members pay $68 + sp fee, register for section 002.


--- layout: default title: "Blog Archive" teaser: "Check out all blog posts in our blog archive. Click on a headline to read the teaser." breadcrumb: true header: image_fullwidth: header_unsplash_8.jpg permalink: "blog/archive/" ---
{{ post.teaser }}
{% assign counter=counter | plus:1 %} {% endfor %}


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Comments
-
anonymous
Was able to produce this today and have the highlighted characters be something other than 'r'. Wasn't able to correlate the any of the text entered into CommandT with what was highlighted after it was dismissed.
-
anonymous
OK this seems to be a bit clearer now. What is happening is when I dismiss CommandT, the last text search that I executed has its matches highlighted again. I don't search very often (mostly by an accidental keystroke), hence why I was confused by the seemingly random characters.
I've been using :noh after I dismiss CommandT to clear the highlighting, still a major pain though.
Add a comment
Comments are now closed for this issue.


Static Information Boxes
Just like the Message Box, the Static Information Boxes contain information useful or need to the user. The are intended to be written in the markup and not injected as an event.


charmCityJS Anti-Harassment Policy
CharmCityJS is dedicated to providing a harassment-free meetup experience for everyone, regardless of gender, sexual orientation, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of meetup participants in any form. Sexual language and imagery is not appropriate for any charmCityJS venue, including talks. Meetup participants violating these rules may be sanctioned or expelled from charmCityJS at the discretion of the meetup organizers.
 Participants asked to stop any harassing behavior are expected to comply immediately.
If a participant engages in harassing behavior, the meetup organizers may take any action they deem appropriate, including warning the offender or expulsion from the meetup. If you are being harassed, notice that someone else is being harassed, or have any other concerns, please contact a member of meetup organizers immediately.
Meetup organizers will be happy to help participants contact venue security or local law enforcement, provide escorts, or otherwise assist those experiencing harassment to feel safe for the duration of the meetup. We value your attendance.
Important Contact Information
- Event Organizers’ Email Address<EMAIL_ADDRESS>- Law Enforcement: 911
- Emergency Medical Assistance: 911
- Baltimore Sexual Assault Hotline:<PHONE_NUMBER>
Taxi Companies
- Diamond Cab -<PHONE_NUMBER> - www.diamondcab.com
- Arrow Cab -<PHONE_NUMBER> - www.arrowcabmd.com
Citations
Adapted from http://geekfeminism.wikia.com/wiki/Conference_anti-harassment/Policy


Beijing Allocates $16.2 Billion to Regions to Fight Poverty
The Chinese government has allocated part of the 2020 funding for poverty alleviation to local authorities, the Treasury said on Monday.
Funds distributed among the 28 provincial-level target regions amount to 113.6 billion yuan ($ 16.2 billion) and are about 90 percent of the poverty alleviation funds in 2019. About 14.4 billion yuan will be earmarked for assistance areas of extreme poverty, mainly in Tibet, the Xinjiang Autonomous Region and parts of Sichuan, Yunnan and Gansu provinces.
The ministry said the power to review and approve the use of the poverty alleviation fund should be delegated to county-level governments and that the money should not be used for projects or tasks not directly related to poverty alleviation.
China aims to eliminate absolute poverty by 2020. As the deadline approaches, the country focuses on the poorest people who live mainly in mountainous and remote areas with adverse climatic conditions and backward infrastructure, as well as those with special needs.


|
OpenCV <IP_ADDRESS> | |||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.opencv.ml.CvStatModel org.opencv.ml.CvGBTrees
public class CvGBTrees
The class implements the Gradient boosted tree model as described in the beginning of this section.
| Field Summary | |
|---|---|
static int |
ABSOLUTE_LOSS
|
static int |
DEVIANCE_LOSS
|
static int |
HUBER_LOSS
|
static int |
SQUARED_LOSS
|
| Constructor Summary | |
|---|---|
CvGBTrees()
Default and training constructors. |
|
CvGBTrees(Mat trainData,
int tflag,
Mat responses)
Default and training constructors. |
|
CvGBTrees(Mat trainData,
int tflag,
Mat responses,
Mat varIdx,
Mat sampleIdx,
Mat varType,
Mat missingDataMask,
CvGBTreesParams params)
Default and training constructors. |
| Method Summary | |
|---|---|
void |
clear()
Clears the model. |
float |
predict(Mat sample)
Predicts a response for an input sample. |
float |
predict(Mat sample,
Mat missing,
Range slice,
int k)
Predicts a response for an input sample. |
boolean |
train(Mat trainData,
int tflag,
Mat responses)
Trains a Gradient boosted tree model. |
boolean |
train(Mat trainData,
int tflag,
Mat responses,
Mat varIdx,
Mat sampleIdx,
Mat varType,
Mat missingDataMask,
CvGBTreesParams params,
boolean update)
Trains a Gradient boosted tree model. |
| Methods inherited from class org.opencv.ml.CvStatModel |
|---|
load, load, save, save |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final int ABSOLUTE_LOSS
public static final int DEVIANCE_LOSS
public static final int HUBER_LOSS
public static final int SQUARED_LOSS
| Constructor Detail |
|---|
public CvGBTrees()
Default and training constructors.
The constructors follow conventions of "CvStatModel.CvStatModel". See "CvStatModel.train" for parameters descriptions.
public CvGBTrees(Mat trainData, int tflag, Mat responses)
Default and training constructors.
The constructors follow conventions of "CvStatModel.CvStatModel". See "CvStatModel.train" for parameters descriptions.
trainData
- a trainDatatflag
- a tflagresponses
- a responsespublic CvGBTrees(Mat trainData, int tflag, Mat responses, Mat varIdx, Mat sampleIdx, Mat varType, Mat missingDataMask, CvGBTreesParams params)
Default and training constructors.
The constructors follow conventions of "CvStatModel.CvStatModel". See "CvStatModel.train" for parameters descriptions.
trainData
- a trainDatatflag
- a tflagresponses
- a responsesvarIdx
- a varIdxsampleIdx
- a sampleIdxvarType
- a varTypemissingDataMask
- a missingDataMaskparams
- a params| Method Detail |
|---|
public void clear()
Clears the model.
The function deletes the data set information and all the weak models and sets all internal variables to the initial state. The function is called in "CvGBTrees.train" and in the destructor.
public float predict(Mat sample)
Predicts a response for an input sample.
The method predicts the response corresponding to the given sample (see "Predicting with GBT"). The result is either the class label or the estimated function value. The "CvGBTrees.predict" method enables using the parallel version of the GBT model prediction if the OpenCV is built with the TBB library. In this case, predictions of single trees are computed in a parallel fashion.
sample
- Input feature vector that has the same format as every training
set element. If not all the variables were actually used during training,
sample
contains forged values at the appropriate places.public float predict(Mat sample, Mat missing, Range slice, int k)
Predicts a response for an input sample.
The method predicts the response corresponding to the given sample (see "Predicting with GBT"). The result is either the class label or the estimated function value. The "CvGBTrees.predict" method enables using the parallel version of the GBT model prediction if the OpenCV is built with the TBB library. In this case, predictions of single trees are computed in a parallel fashion.
sample
- Input feature vector that has the same format as every training
set element. If not all the variables were actually used during training,
sample
contains forged values at the appropriate places.missing
- Missing values mask, which is a dimensional matrix of the same
size as sample
having the CV_8U
type.
1
corresponds to the missing value in the same position in the
sample
vector. If there are no missing values in the feature
vector, an empty matrix can be passed instead of the missing mask.slice
- Parameter defining the part of the ensemble used for prediction.
If slice = Range.all()
, all trees are used. Use this parameter
to get predictions of the GBT models with different ensemble sizes learning
only one model.
k
- Number of tree ensembles built in case of the classification problem
(see "Training GBT"). Use this parameter to change the output to sum of the
trees' predictions in the k
-th ensemble only. To get the total
GBT model prediction, k
value must be -1. For regression
problems, k
is also equal to -1.public boolean train(Mat trainData, int tflag, Mat responses)
Trains a Gradient boosted tree model.
The first train method follows the common template (see "CvStatModel.train").
Both tflag
values (CV_ROW_SAMPLE
, CV_COL_SAMPLE
)
are supported.
trainData
must be of the CV_32F
type.
responses
must be a matrix of type CV_32S
or
CV_32F
. In both cases it is converted into the CV_32F
matrix inside the training procedure. varIdx
and
sampleIdx
must be a list of indices (CV_32S
) or a
mask (CV_8U
or CV_8S
). update
is a
dummy parameter.
The second form of "CvGBTrees.train" function uses "CvMLData" as a data set
container. update
is still a dummy parameter.
All parameters specific to the GBT model are passed into the training function as a "CvGBTreesParams" structure.
trainData
- a trainDatatflag
- a tflagresponses
- a responsespublic boolean train(Mat trainData, int tflag, Mat responses, Mat varIdx, Mat sampleIdx, Mat varType, Mat missingDataMask, CvGBTreesParams params, boolean update)
Trains a Gradient boosted tree model.
The first train method follows the common template (see "CvStatModel.train").
Both tflag
values (CV_ROW_SAMPLE
, CV_COL_SAMPLE
)
are supported.
trainData
must be of the CV_32F
type.
responses
must be a matrix of type CV_32S
or
CV_32F
. In both cases it is converted into the CV_32F
matrix inside the training procedure. varIdx
and
sampleIdx
must be a list of indices (CV_32S
) or a
mask (CV_8U
or CV_8S
). update
is a
dummy parameter.
The second form of "CvGBTrees.train" function uses "CvMLData" as a data set
container. update
is still a dummy parameter.
All parameters specific to the GBT model are passed into the training function as a "CvGBTreesParams" structure.
trainData
- a trainDatatflag
- a tflagresponses
- a responsesvarIdx
- a varIdxsampleIdx
- a sampleIdxvarType
- a varTypemissingDataMask
- a missingDataMaskparams
- a paramsupdate
- a update
|
OpenCV <IP_ADDRESS> Documentation | |||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


-
Isis reconciles with al-Qaida group as Syria air strikes continue
www.theguardian.com
Jabhat al-Nusra denounces US-led attacks as ‘war on Islam’, and leaders of group holding meetings with Islamic State
-
Monthly Blog Archives • James Smythe • There is no turning back
james-smythe.com
A novelist, narrative designer and teacher, James Smythe has written many things, including The Explorer (HarperCollins/Voyager), The Testimony ...
-
Tigerman Make Famous Lunchtime Full of Win
www.youtube.com
Grab your sandwich and pull up a chair for an interview and Q&A with Nick Harkaway in honor of his newest novel, TIGERMAN.
-
Tigerman Make Famous Lunchtime Full of Win - Google+
plus.google.com
Grab your sandwich and pull up a chair for an interview and Q&A with Nick Harkaway in honor of his newest novel, TIGERMAN.
-
Events | WORD
www.wordbookstores.com
Independent Community Bookstores Greenpoint, Brooklyn · Jersey City
-
Fighting Ebola: A Grand Challenge for Development | U.S. Agency for ...
www.usaid.gov
USAID is partnering with the White House Office of Science and Technology, the Centers for Disease Control and Prevention, the Government of Sweden ...
-
Tweaked Vancomycin Kills In Two Ways | September 29, 2014 Issue - Vol. 92 ...
cen.acs.org
Earlier this month, President Barack Obama announced a five-year plan to solve the growing problem of antibiotic resistance. Researchers now report ...
-
Melting Away: Portraits of polar ice with personality
ideas.ted.com
For many of us, the climate crisis is a giant social, economic and environmental specter; for photographer Camille Seaman, it's personal. Take a look ...
-
7.1 Billion Demonstrate In Favor Of Global Warming
www.theonion.com
NEW YORK—In an overwhelming show of support for dangerously escalating temperatures, 7.1 billion people from nearly every nation on earth staged ...
-
And Another Thing: Brooklyn
wordbookstores.tumblr.com
A Link Roundup for Upcoming Events Tigerman Lunchtime Live Google Hangout with Nick Harkaway, 9/27, Noon ”Superheroes are for the most part ...
-
Ricardo Patiño and Ban Ki-Moon Discuss Chevron, Assange
telesurtv.net
Ecuador was able to put its case to the top U.N. official about the plight of Julian Assange, in addition to talking about its renewable energy ...
-
Leaks by Edward Snowden have put British hostages in greater peril
www.dailymail.co.uk
British police chiefs have warned that their ability to gain intelligence from electronic interception has been reduced by some 25 to 30 per cent as ...
-
Fortnum and Mason to harvest honey from beehives on St Pancras station's ...
www.camdennewjournal.com
St Pancras Station will have rooftop beehives
-
Ukip conference begins: what could possibly go wrong? – Telegraph Blogs
blogs.telegraph.co.uk
Ukip’s conference starts today at Doncaster Racecourse (yes, seriously) – and the theme is gambling. Although, knowing these regular guys it’ll be ...
-
2014 on Track to be Hottest Year on Record | Climate Central
www.climatecentral.org
If the remaining months of the year rank in the top five warmest, 2014 will be the warmest year on record.
-
Record year for fossil fuel emissions pushes carbon budget to the brink
www.theguardian.com
Graham Readfearn: Scientists release multiple journal papers showing increased challenge of cutting emissions as coal and China dominate growth
-
Test Your Kitchen Scale’s Accuracy with Pocket Change
lifehacker.com
You want to be sure your kitchen scale is calibrated right, or your recipes aren't going to turn out very well. Baking expert Alice Medrich ...
-
Known Unknowns Fund | Courage Foundation
couragefound.org
Keeps sources protected and free ($200k of prevention is worth $2m of cure)
-
Google pulls out of conservative group amid environmentalist pressure
www.latimes.com
Google's effort to build strong alliances with Republican politicians and conservative advocacy groups is paying dividends on Capitol Hill but has ...
-
Cameron faces pressure to seal Scotland deal
www.theguardian.com
Prime minister's bid to outflank Ed Miliband on new constitutional settlement derailed by Danny Alexander's objections
-
Fire to Flooding: Can California's Economy Survive Nature's Fury? - NBC ...
www.nbcnews.com
When it comes to disasters, California can't seem to catch a break.Wildfires are scorching thousands of acres. Floods and droughts are unleashing ...
-
In California, Less Water Means More West Nile Virus
www.kpbs.org
You'd think that mosquitoes wouldn't like drought, but that's not what's happening in California, where stagnant water breeds more mosquitoes. Cases ...
-
The Global Competitiveness Report 2014-2015
reports.weforum.org
The Global Competitiveness Report 2014-2015 assesses the competitiveness landscape of 144 economies, providing insight into the drivers of their ...
-
First response, revisited
www.nature.com
The Ebola outbreak in West Africa has starkly exposed major gaps in plans to tackle emerging infectious diseases. Lessons must be learned.
-
On a Warmer Planet, Which Cities Will Be Safest?
www.nytimes.com
Scientists trying to predict the consequences of climate change see few havens from future storms, floods and droughts. But some regions will fare ...
-
China and US pledge climate action
www.bbc.co.uk
China and the US agree they must lead the rest of the world in curbing emissions to combat climate change, as a major UN summit closes in New York.
-
The Suitsy, A Business-Suit Onesie | Betabrand
www.betabrand.com
Like the lovechild of a business suit and a onesie. Vote to bring Jesse Herzog's Suitsy to life!
-
Better Together Campaign Chief: We Would Have Struggled To Win Without ...
www.buzzfeed.com
Blair McDougall said that if the campaign had listened to newspaper columnists calling for an emotional case for the union, Scotland might have voted ...
-
Film industry perpetuates gender discrimination, says UN-backed study
www.theguardian.com
Report finds ‘deep-seated discrimination and pervasive stereotyping of women and girls’, including blanket under-representation and widespread ...
-
Molecular knot shaped like a Star of David | Chemistry World
www.rsc.org
Entwined molecular knot made from two catenanes crosses at six points


public class PopupMenu extends java.lang.Object implements MenuBuilder.Callback, MenuPresenter.Callback
android.widget.PopupMenu
.
Used to write apps that run on platforms prior to Android 3.0. When running
on Android 3.0 or above, this implementation is still used; it does not try
to switch to the framework's implementation. See the framework SDK
documentation for a class overview.| Modifier and Type | Class and Description |
|---|---|
static interface |
PopupMenu.OnDismissListener
Callback interface used to notify the application that the menu has closed.
|
static interface |
PopupMenu.OnMenuItemClickListener
Interface responsible for receiving menu item click events if the items themselves
do not have individual item click listeners.
|
| Constructor and Description |
|---|
PopupMenu(Context context,
View anchor)
Construct a new PopupMenu.
|
| Modifier and Type | Method and Description |
|---|---|
void |
dismiss()
Dismiss the menu popup.
|
Menu |
getMenu() |
MenuInflater |
getMenuInflater() |
void |
inflate(int menuRes)
Inflate a menu resource into this PopupMenu.
|
void |
onCloseMenu(MenuBuilder menu,
boolean allMenusAreClosing)
Called when a menu is closing.
|
void |
onCloseSubMenu(SubMenuBuilder menu) |
boolean |
onMenuItemSelected(MenuBuilder menu,
MenuItem item)
Called when a menu item is selected.
|
void |
onMenuModeChange(MenuBuilder menu)
Called when the mode of the menu changes (for example, from icon to expanded).
|
boolean |
onOpenSubMenu(MenuBuilder subMenu)
Called when a submenu opens.
|
void |
setOnDismissListener(PopupMenu.OnDismissListener listener)
Set a listener that will be notified when this menu is dismissed.
|
void |
setOnMenuItemClickListener(PopupMenu.OnMenuItemClickListener listener)
Set a listener that will be notified when the user selects an item from the menu.
|
void |
show()
Show the menu popup anchored to the view specified during construction.
|
public PopupMenu(Context context, View anchor)
context
- Context for the PopupMenu.anchor
- Anchor view for this popup. The popup will appear below the anchor if there
is room, or above it if there is not.public Menu getMenu()
Menu
associated with this popup. Populate the returned Menu with
items before calling show()
.show()
,
getMenuInflater()
public MenuInflater getMenuInflater()
public void inflate(int menuRes)
menuRes
- Menu resource to inflatepublic void show()
dismiss()
public void dismiss()
show()
public void setOnMenuItemClickListener(PopupMenu.OnMenuItemClickListener listener)
listener
- Listener to notifypublic void setOnDismissListener(PopupMenu.OnDismissListener listener)
listener
- Listener to notifypublic boolean onMenuItemSelected(MenuBuilder menu, MenuItem item)
MenuBuilder.Callback
onMenuItemSelected
in interface MenuBuilder.Callback
menu
- The menu that is the parent of the itemitem
- The menu item that is selectedpublic void onCloseMenu(MenuBuilder menu, boolean allMenusAreClosing)
MenuPresenter.Callback
onCloseMenu
in interface MenuPresenter.Callback
public boolean onOpenSubMenu(MenuBuilder subMenu)
MenuPresenter.Callback
onOpenSubMenu
in interface MenuPresenter.Callback
subMenu
- Submenu currently being openedpublic void onCloseSubMenu(SubMenuBuilder menu)
public void onMenuModeChange(MenuBuilder menu)
MenuBuilder.Callback
onMenuModeChange
in interface MenuBuilder.Callback
menu
- the menu that has changed modes


User Research, Interaction Design, Visual
Design, Product Strategy, Prototyping.
Designed the UI and the UX workflows for Web, iOS, Android and browser extensions, and established the ground work to unify the experience across these platforms.
Construct Scheduler is a work management application built as a part of Katerra’s Apollo Suite. Apollo is a web-based software suite offered by Katerra, designed to support the entire lifecycle of the building process.
Prior to Scheduler, our Project managers scrambled between a bunch of planning software, spreadsheets, docs and emails to create project launches. There were too many separate pieces to connect, fit together, and update. A lot of time was spent managing the schedule even when actual work started. Project managers had to manage the details rather than on strategy.
Looking at the data and talking to PMs, made it clear that a lot of them were scrambling across applications to create a schedule. They needed a simple way to plan a schedule, assign tasks and allocate resources.
Creating a schedule, managing resources and monitoring overall project progress were all very different use-cases, and that distinction had to be clearly delineated in the app's navigation. Iterating through a series of prototypes we arrived at a tab based navigation UI which served the purpose.
The users needed a view that allowed them to track every detail of every task or activity. They needed a single source of truth. The key challenge for me was to accommodate all the data points without losing the simplicity and scannability. I took special care to ensure that the important data points stood out.
We introduced Activity Templates, to allow users to quickly start mapping out a project plan or schedule. After importing the template, he can customise it any which way.
I added visual cues where necessary to make each detail stand out. Since every field was meaningful and had to be incorporated, getting the visual hierarchy right was crucial. I introduced icons where possible to reduce the clutter and make the page more breathable and scannable.
While PMs wanted a powerful view with the ability to track every detail, our other user group - clients and senior managers - wanted a simple visual overview of the project as a whole across departments, with the ability to dive into detail if needed. One insight I held onto while working on this page was that, managers were looking to explore and find something interesting from the data. They were not looking to confirm what they already knew but to find what they missed.
The user can now add predecessors and successors to a task and add a time lag as well.
The new gantt design affords editing task details and updating progress in the same view itself.
We noticed that while working styles were subjective and differed from person to person it also depended on the user’s role. A group of our PMs and managers gave us the feedback that they would need a gantt view with the basic activity details.
Building on customer interviews and data, we developed a custom Kanban board, that allows managers to track tasks and activities, allocate resources and schedule inspections through every stage. Having the progress, resources and scheduled inspections tied to a task in one place, made it easy to keep everyone aligned on goals.
We were pleased with the reviews and feedback that came our way when we gave a small set of users access to the software. Teams and users were delighted to be spending less time on emails. Both collaboration and efficiency increased. It was a great sign to have customers onboard, even before the initial release.
Understanding how the information will be used, helped me create better information visualizations for our end users.


DataManagers¶
Overview¶
skater contains an abstraction for data, the DataManager. The DataManager is initialized with some data, and optionally some feature names and indexes. One created, the DataManager offers a generate_samples method, which includes options for several sampling algorithms. Any and all updates for handling, accessing, manipulating, saving, and loading data will be handled by the DataManager to ensure isolation from the rest of the code base.
Currently, skater supports numpy ndarrays and pandas dataframes, with plans on supporting sparse arrays in future versions.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | from sklearn.datasets import load_breast_cancer
from sklearn.ensemble import GradientBoostedClassifier
breast_cancer = load_breast_cancer()
X = breast_cancer.data
y = breast_cancer.target
features = breast_cancer.feature_names
from skater.data import DataManager
data = DataManager(X, feature_names = features)
data.generate_sample(n, strategy='random-choice')
data.generate_grid(['CRIM', 'ZN'], grid_resolution=100)
|
API¶
-
DataManager.
__init__
(X, y=None, feature_names=None, index=None, log_level=30)¶ The abstraction around using, accessing, sampling data for interpretation purposes. Used by interpretation objects to grab data, collect samples, and handle feature names and row indices.
Parameters: - X: 1D/2D numpy array, or pandas DataFrame
raw data
- y: 1D/2D numpy array, or pandas DataFrame
ground truth labels for X
- feature_names: iterable of feature names
Optional keyword containing names of features.
- index: iterable of row names
Optional keyword containing names of indexes (rows).
-
DataManager.
generate_sample
(sample=True, include_y=False, strategy='random-choice', n_samples=1000, replace=True, bin_count=50)¶ Method for generating data from the dataset.
Parameters: - sample : boolean
If False, we’ll take the full dataset, otherwise we’ll sample.
include_y: boolean (default=False)
- strategy: string (default=’random-choice’)
Supported strategy types ‘random-choice’, ‘uniform-from-percentile’, ‘uniform-over-similarity-ranks’
- n_samples : int (default=1000)
Specifies the number of samples to return. Only implemented if strategy is “random-choice”.
- replace : boolean (default=True)
Bool for sampling with or without replacement
- bin_count : int
If strategy is “uniform-over-similarity-ranks”, then this is the number of samples to take from each discrete rank.
-
DataManager.
generate_grid
(feature_ids, grid_resolution=100, grid_range=(0.05, 0.95))¶ Generates a grid of values on which to compute pdp. For each feature xi, for value yj of xi, we will fix xi = yj for every observation in X.
Parameters: - feature_ids(list):
Feature names for which we’ll generate a grid. Must be contained by self.feature_ids
- grid_resolution(int):
The number of unique values to choose for each feature.
- grid_range(tuple):
The percentile bounds of the grid. For instance, (.05, .95) corresponds to the 5th and 95th percentiles, respectively.
Returns: - grid(numpy.ndarray): There are as many rows as there are feature_ids
There are as many columns as specified by grid_resolution
-
DataManager.
generate_column_sample
(feature_id, *args, **kwargs)¶ Sample a single feature from the data set.
Parameters: - feature_id: hashable
name of the feature to sample. If no feature names were passed, then the features are accessible via their column index.


{% if student.photo %}
{% endif %}
{{ student.Sap_Id }}
{{ student.department }}
- Skills {{ skill|length }}
- Internships {{ internship_approved|length }}
- Projects {{ project_approved|length }}
- Committees {{ committees|length }}
- {% for a,b in grades %} CGPA {{ b }} {% endfor %}
About Me
Education
Location
B.E. in Computer Science from the University of Mumbai
Location
Mumbai, India
- About Me
- Skills
- Internship
- Projects
- Committees
- Grades
- BE Project
- Research Work
- Hackathon
- Extra Curricular
- Competitive exams
- Masters Admit
- Placement
About Me
| Name | {{ student.first_name }} {{ student.last_name }} |
|---|---|
| Department | {{ student.department }} |
| BIO | {{ student.bio }} |
| Github Id | {{ student.github_id }} |
| Mobile Number | {{ student.mobileNo }} |
| Gender | {{ student.gender }} |
| Year | {{ student.year }} |
| Faculty Incharge | {{ student.mentor.first_name }} {{ student.mentor.last_name }} |
| 10th Marks | {{ student.tenth_marks }} |
| 12th Marks / Diploma Marks | {{ student.twelfth_or_diploma_marks }} |
Accepted Internships
| Sr. No | Student | Company | Position | Duration | Total Hours | Stipend | Certificate | Offer Letter | Evaluation Report (Mentor) | Evaluation Report (Supervisor) | Evaluation Report (Self) | {% for internship in internship_approved %}|||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{internship.employee.Sap_Id}} - {{internship.employee.first_name}} {{internship.employee.last_name}} | {{ internship.company }} | {{ internship.Position }} | {{ internship.From }} - {{ internship.To }} | {{ internship.total_hours }} | {{ internship.stipend }} | {% ifequal internship.Certificate "" %}Not Uploaded | {% else %}Certificate URL | {% endifequal %} {% ifequal internship.offer_letter "" %}Not Uploaded | {% else %}Offer Letter URL | {% endifequal %} {% ifequal internship.evaluation_report_mentor "" %}Not Uploaded | {% else %}Mentor Evaluation URL | {% endifequal %} {% ifequal internship.evaluation_report_supervisor "" %}Not Uploaded | {% else %}Supervisor Evaluation URL | {% endifequal %} {% ifequal internship.evaluation_report_self "" %}Not Uploaded | {% else %}Self Evaluation URL | {% endifequal %}
Pending Internships
| Sr. No | Student | Company | Position | Duration | Total Hours | Stipend | Certificate | Offer Letter | Evaluation Report (Mentor) | Evaluation Report (Supervisor) | Evaluation Report (Self) | {% for internship in internship_pending %}|||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{internship.employee.Sap_Id}} - {{internship.employee.first_name}} {{internship.employee.last_name}} | {{ internship.company }} | {{ internship.Position }} | {{ internship.From }} - {{ internship.To }} | {{ internship.total_hours }} | {{ internship.stipend }} | {% ifequal internship.Certificate "" %}Not Uploaded | {% else %}Certificate URL | {% endifequal %} {% ifequal internship.offer_letter "" %}Not Uploaded | {% else %}Offer Letter URL | {% endifequal %} {% ifequal internship.evaluation_report_mentor "" %}Not Uploaded | {% else %}Mentor Evaluation URL | {% endifequal %} {% ifequal internship.evaluation_report_supervisor "" %}Not Uploaded | {% else %}Supervisor Evaluation URL | {% endifequal %} {% ifequal internship.evaluation_report_self "" %}Not Uploaded | {% else %}Self Evaluation URL | {% endifequal %}
Rejected Internships
| Sr. No | Student | Company | Position | Duration | Total Hours | Stipend | Certificate | Offer Letter | Evaluation Report (Mentor) | Evaluation Report (Supervisor) | Evaluation Report (Self) | {% for internship in internship_rejected %}|||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{internship.employee.Sap_Id}} - {{internship.employee.first_name}} {{internship.employee.last_name}} | {{ internship.company }} | {{ internship.Position }} | {{ internship.From }} - {{ internship.To }} | {{ internship.total_hours }} | {{ internship.stipend }} | {% ifequal internship.Certificate "" %}Not Uploaded | {% else %}Certificate URL | {% endifequal %} {% ifequal internship.offer_letter "" %}Not Uploaded | {% else %}Offer Letter URL | {% endifequal %} {% ifequal internship.evaluation_report_mentor "" %}Not Uploaded | {% else %}Mentor Evaluation URL | {% endifequal %} {% ifequal internship.evaluation_report_supervisor "" %}Not Uploaded | {% else %}Supervisor Evaluation URL | {% endifequal %} {% ifequal internship.evaluation_report_self "" %}Not Uploaded | {% else %}Self Evaluation URL | {% endifequal %}
Accepted Projects
| Sr. No | Student | Project Name | Project URL | Project Description | Under Teacher | Skill | {% for project in project_approved %}
|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.student_profile.Sap_Id}} - {{project.student_profile.first_name}} {{project.student_profile.last_name}} | {{ project.ProjName }} | {{ project.ProjURL }} | {{ project.ProjDesc }} | {{ project.projectUnderTeacher.Sap_Id }} - {{ project.projectUnderTeacher.first_name }} {{ project.projectUnderTeacher.last_name }} | {{ project.skill }} |
Pending Projects
| Sr. No | Student | Project Name | Project URL | Project Description | Under Teacher | Skill | {% for project in project_pending %}
|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.student_profile.Sap_Id}} - {{project.student_profile.first_name}} {{project.student_profile.last_name}} | {{ project.ProjName }} | {{ project.ProjURL }} | {{ project.ProjDesc }} | {{ project.projectUnderTeacher.Sap_Id }} - {{ project.projectUnderTeacher.first_name }} {{ project.projectUnderTeacher.last_name }} | {{ project.skill }} |
Rejected Projects
| Sr. No | Student | Project Name | Project URL | Project Description | Under Teacher | Skill | {% for project in project_rejected %}
|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.student_profile.Sap_Id}} - {{project.student_profile.first_name}} {{project.student_profile.last_name}} | {{ project.ProjName }} | {{ project.ProjURL }} | {{ project.ProjDesc }} | {{ project.projectUnderTeacher.Sap_Id }} - {{ project.projectUnderTeacher.first_name }} {{ project.projectUnderTeacher.last_name }} | {{ project.skill }} |
Committees
| Sr. No | Student | Committee | Position | Duration | Description | Certificate | {% for committee in committees %}|
|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{committee.employee.Sap_Id}} - {{committee.employee.first_name}} {{committee.employee.last_name}} | {{ committee.OrganisationName }} | {{ committee.YourPosition }} | {{ committee.dateFrom }} - {{ committee.dateTo }} | {{ committee.Desc }} | {% ifequal committee.Certificate "" %}Not Uploaded | {% else %}Certificate URL | {% endifequal %}
Grades
| Sr. No | Student | Average GPA (As of Now) | SEM 1 Marksheet | SEM 2 Marksheet | SEM 3 Marksheet | SEM 4 Marksheet | SEM 5 Marksheet | SEM 6 Marksheet | SEM 7 Marksheet | SEM 8 Marksheet | {% for education,gpa in grades %}||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{education.student_profile.Sap_Id}} - {{education.student_profile.first_name}} {{education.student_profile.last_name}} | {{ gpa }} | {% ifequal education.sem1_marksheet "" %}Not Uploaded | {% else %}SEM 1 | {% endifequal %} {% ifequal education.sem2_marksheet "" %}Not Uploaded | {% else %}SEM 2 | {% endifequal %} {% ifequal education.sem3_marksheet "" %}Not Uploaded | {% else %}SEM 3 | {% endifequal %} {% ifequal education.sem4_marksheet "" %}Not Uploaded | {% else %}SEM 4 | {% endifequal %} {% ifequal education.sem5_marksheet "" %}Not Uploaded | {% else %}SEM 5 | {% endifequal %} {% ifequal education.sem6_marksheet "" %}Not Uploaded | {% else %}SEM 6 | {% endifequal %} {% ifequal education.sem7_marksheet "" %}Not Uploaded | {% else %}SEM 7 | {% endifequal %} {% ifequal education.sem8_marksheet "" %}Not Uploaded | {% else %}SEM 8 | {% endifequal %}
Accepted BE Projects
| Sr. No | Student | Project Name | Project URL | Project Description | Under Teacher | Project Report | {% for project in BeProject_approved %}|
|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.student.Sap_Id}} - {{project.student.first_name}} {{project.student.last_name}} | {{ project.ProjName }} | {{ project.ProjURL }} | {{ project.ProjDesc }} | {{ project.projectUnderTeacher.Sap_Id }} - {{ project.projectUnderTeacher.first_name }} {{ project.projectUnderTeacher.last_name }} | {% ifequal project.project_report "" %}Not Uploaded | {% else %}Report | {% endifequal %}
Pending BE Projects
| Sr. No | Student | Project Name | Project URL | Project Description | Under Teacher | Project Report | {% for project in BeProject_pending %}|
|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.student.Sap_Id}} - {{project.student.first_name}} {{project.student.last_name}} | {{ project.ProjName }} | {{ project.ProjURL }} | {{ project.ProjDesc }} | {{ project.projectUnderTeacher.Sap_Id }} - {{ project.projectUnderTeacher.first_name }} {{ project.projectUnderTeacher.last_name }} | {% ifequal project.project_report "" %}Not Uploaded | {% else %}Report | {% endifequal %}
Rejected BE Projects
| Sr. No | Student | Project Name | Project URL | Project Description | Under Teacher | Project Report | {% for project in BeProject_rejected %}|
|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.student.Sap_Id}} - {{project.student.first_name}} {{project.student.last_name}} | {{ project.ProjName }} | {{ project.ProjURL }} | {{ project.ProjDesc }} | {{ project.projectUnderTeacher.Sap_Id }} - {{ project.projectUnderTeacher.first_name }} {{ project.projectUnderTeacher.last_name }} | {% ifequal project.project_report "" %}Not Uploaded | {% else %}Report | {% endifequal %}
Approved Research Request
| Sr. No | Student | Title | Publication Date | Description | Link to Paper | Paper ID | ISBN | ISSN | Proof of Submission | Project Mentor | Type | Duration | Total Hours (Approx) | {% for research_paper in ResearchPaper_approved %}|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{research_paper.student.Sap_Id}} - {{research_paper.student.first_name}} {{research_paper.student.last_name}} | {{ research_paper.Title }} | {{ research_paper.DateOfPublication }} | {{ research_paper.Desc }}/td> | {{ research_paper.LinkToPaper }} | {{ research_paper.Title }} | {{ research_paper.isbn }} | {{ research_paper.issn }} | {% if research_paper.proof_of_submission %}Proof of Submission | {% else %}Not Uploaded | {% endif %}{{ research_paper.project_mentor }} | {{ research_paper.type }} | {{ research_paper.duration_of_project }} | {{ research_paper.total_hours }} |
Pending Research Request
| Sr. No | Student | Title | Publication Date | Description | Link to Paper | Paper ID | ISBN | ISSN | Proof of Submission | Project Mentor | Type | Duration | Total Hours (Approx) | {% for research_paper in ResearchPaper_pending %}|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{research_paper.student.Sap_Id}} - {{research_paper.student.first_name}} {{research_paper.student.last_name}} | {{ research_paper.Title }} | {{ research_paper.DateOfPublication }} | {{ research_paper.Desc }} | {{ research_paper.LinkToPaper }} | {{ research_paper.Title }} | {{ research_paper.isbn }} | {{ research_paper.issn }} | {% if research_paper.proof_of_submission %}Proof of Submission | {% else %}Not Uploaded | {% endif %}{{ research_paper.project_mentor }} | {{ research_paper.type }} | {{ research_paper.duration_of_project }} | {{ research_paper.total_hours }} |
Rejected Research Request
| Sr. No | Student | Title | Publication Date | Description | Link to Paper | Paper ID | ISBN | ISSN | Proof of Submission | Project Mentor | Type | Duration | Total Hours (Approx) | {% for research_paper in ResearchPaper_rejected %}|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{research_paper.student.Sap_Id}} - {{research_paper.student.first_name}} {{research_paper.student.last_name}} | {{ research_paper.Title }} | {{ research_paper.DateOfPublication }} | {{ research_paper.Desc }}/td> | {{ research_paper.LinkToPaper }} | {{ research_paper.Title }} | {{ research_paper.isbn }} | {{ research_paper.issn }} | {% if research_paper.proof_of_submission %}Proof of Submission | {% else %}Not Uploaded | {% endif %}{{ research_paper.project_mentor }} | {{ research_paper.type }} | {{ research_paper.duration_of_project }} | {{ research_paper.total_hours }} |
Approved Hackathon Requests
| Sr. No | Student | Competition Name | Duration | Hackathon Proj. Description | No. of Hours | Proj. URL | Github URL | {% for hackathon in Hackathon_approved %}
|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{hackathon.student_profile.Sap_Id}} - {{hackathon.student_profile.first_name}} {{hackathon.student_profile.last_name}} | {{ hackathon.CompetitionName }} | {{ hackathon.StartDate }} - {{ hackathon.EndDate }} | {{ hackathon.Desc }} | {{ hackathon.total_no_of_hours }} | {{ hackathon.URL }} | {{ hackathon.Github_url }} |
Pending Hackathon Requests
| Sr. No | Student | Competition Name | Duration | Hackathon Proj. Description | No. of Hours | Proj. URL | Github URL | {% for hackathon in Hackathon_pending %}
|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{hackathon.student_profile.Sap_Id}} - {{hackathon.student_profile.first_name}} {{hackathon.student_profile.last_name}} | {{ hackathon.CompetitionName }} | {{ hackathon.StartDate }} - {{ hackathon.EndDate }} | {{ hackathon.Desc }} | {{ hackathon.total_no_of_hours }} | {{ hackathon.URL }} | {{ hackathon.Github_url }} |
Rejected Hackathon Requests
| Sr. No | Student | Competition Name | Duration | Hackathon Proj. Description | No. of Hours | Proj. URL | Github URL | {% for hackathon in Hackathon_rejected %}
|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{hackathon.student_profile.Sap_Id}} - {{hackathon.student_profile.first_name}} {{hackathon.student_profile.last_name}} | {{ hackathon.CompetitionName }} | {{ hackathon.StartDate }} - {{ hackathon.EndDate }} | {{ hackathon.Desc }} | {{ hackathon.total_no_of_hours }} | {{ hackathon.URL }} | {{ hackathon.Github_url }} |
Extra Curricular
| Sr. No | Student | Name | Description | Achievements | Date | Certificate | {% for e in extra_curricular %}|
|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{e.student.Sap_Id}} - {{e.student.first_name}} {{e.student.last_name}} | {{ e.name }} | {{ e.desc }} | {{ e.achievements }} | {{ e.date }} | {% if e.Certificate %}Certificate | {% else %}Not Uploaded | {% endif %}
Accepted Masters Admit
| Sr. No | College Name | Masters Field | College Location | Admit Proof | {% for project in admit_approved %}|
|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.college_name}} | {{ project.masters_field }} | {{ project.college_location }} | {% if project.admit_proof %}Admit Proof | {% else %}Not Uploaded | {% endif %}
Pending Masters Admit
| Sr. No | College Name | Masters Field | College Location | Admit Proof | {% for project in admit_pending %}|
|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.college_name}} | {{ project.masters_field }} | {{ project.college_location }} | {% ifequal project.admit_proof "" %}Not Uploaded | {% else %}Admit Proof | {% endifequal %}
Rejected Masters Admit
| Sr. No | College Name | Masters Field | College Location | Admit Proof | {% for project in admit_rejected %}|
|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.college_name}} | {{ project.masters_field }} | {{ project.college_location }} | {% if project.admit_proof %}Admit Proof | {% else %}Not Uploaded | {% endif %}
Accepted Placements
| Sr. No | Company Name | CTC | Designation | Company Address | Company Phone No. | Offer Letter 1 | Offer Letter 2 | Offer Letter 3 | {% for project in placement_approved %}|||
|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.company_name}} | {{project.ctc}} | {{project.designation}} | {{project.company_address}} | {{project.company_phone_number}} | {% ifequal project.offer_letter "" %}Not Uploaded | {% else %}Offer Letter | {% endifequal %} {% ifequal project.offer_letter2 "" %}Not Uploaded | {% else %}Offer Letter 2 | {% endifequal %} {% ifequal project.offer_letter3 "" %}Not Uploaded | {% else %}Offer Letter 3 | {% endifequal %}
Pending Placement
| Sr. No | Company Name | CTC | Designation | Company Address | Company Phone No. | Offer Letter 1 | Offer Letter 2 | Offer Letter 3 | {% for project in placement_pending %}|||
|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.company_name}} | {{project.ctc}} | {{project.designation}} | {{project.company_address}} | {{project.company_phone_number}} | {% ifequal project.offer_letter "" %}Not Uploaded | {% else %}Offer Letter | {% endifequal %} {% ifequal project.offer_letter2 "" %}Not Uploaded | {% else %}Offer Letter 2 | {% endifequal %} {% ifequal project.offer_letter3 "" %}Not Uploaded | {% else %}Offer Letter 3 | {% endifequal %}
Rejected Placement
| Sr. No | Company Name | CTC | Designation | Company Address | Company Phone No. | Offer Letter 1 | Offer Letter 2 | Offer Letter 3 | {% for project in placement_rejected %}|||
|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{project.company_name}} | {{project.ctc}} | {{project.designation}} | {{project.company_address}} | {{project.company_phone_number}} | {% ifequal project.offer_letter "" %}Not Uploaded | {% else %}Offer Letter | {% endifequal %} {% ifequal project.offer_letter2 "" %}Not Uploaded | {% else %}Offer Letter 2 | {% endifequal %} {% ifequal project.offer_letter3 "" %}Not Uploaded | {% else %}Offer Letter 3 | {% endifequal %}


Valverde has no regrets over Ansu Fati decision depsite competition
The Barcelona coach defended his decision to call Ansu into Barcelona's first team setup
by German BonaAnsu Fati started against Real Valladolid in midweek bit it's looking tough for him to play regularly with all Barcelona's forwards fit and available again.
Earlier this season he was a big help and, despite the dilemma he's now facing, coach Ernesto Valverde doesn't regret giving him his chance even though everything has moved quickly since.
"Of course I don't regret bringing him into the first team early in the season," Valverde said on Friday. "We had a shortage of players in attack and we needed cover.
"And in addition, he has come in and he's demonstrating a lot of qualities. He's very young, he has a lot of room to grow. In principle, he's in the first-team setup, knowing that he could play some games with the B team, but the decision was well taken.
Ansu, who turned 17 this week, has been spectacular at times but Valverde says it's normal that he won't always be at that level as he continues to grow.
The coach added: "I know that when a new player comes (out of the academy) and in such a stunning way as he did, it generates a huge amount of exception.
"But at the end of the day, things are how they are. He turned 17 this week. He's still not got used to the (top flight) and it's a learning process. He has to learn how to manage the rhythm of the games, how to look after his body, he still needs to get stronger."


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etcd
A distributed, reliable key-value store for the most critical data of a distributed system.
More information: home page
- Start a single-node etcd cluster:
etcd
- Start a single-node etcd cluster, listening for client requests on a custom URL:
etcd --advertise-client-urls http://<IP_ADDRESS>:1234 --listen-client-urls http://<IP_ADDRESS>:1234
- Start a single-node etcd cluster with a custom name:
etcd --name my_etcd_cluster
- Start a single-node etcd cluster with extensive metrics available at http://localhost:2379/debug/pprof/:
etcd --enable-pprof --metrics extensive


Emotional intelligence is most importantly about being aware of your own feelings and how your behaviour affects others. It also extends to being aware of how others are feeling and being able to respond appropriately.
Daniel Goleman (author of 1995 book – Emotional Intelligence) describes Emotional Intelligence in five components. These are:
IQ stands for intelligence quotient. It is a standardised test that attempts to measure someone’s intelligence. The premise behind IQ is that it is an innate ability and intelligence that cannot be improved. EQ on the other hand is malleable and able to be improved.
Emotional intelligence is important because it determines the quality of our relationships not only with our work colleagues, but with every relationship we have in our life. Emotional intelligence in a workplace context is often more desirable than technical skills as a good cultural fit in the team is going to make everyone involved happier. Technical skills can be taught to emotionally intelligent people, whereas (although EQ can be learn) emotional intelligence requires a commitment on the individuals part to monitor themselves and adapt behaviour accordingly.


Turkey rejects reports it sent anti-riot gear to Iraq
Senior Turkish official says reports in Arabic-language media aim to 'undermine' Ankara's 'high reputation' in region.
by Umut UrasA senior Turkish official has dismissed reports that Turkey sent anti-riot equipment to the Iraqi government to be used against those taking part in deadly protests that have shaken Iraq since last month.
In recent days, several reports published by Arabic-language news outlets quoted unnamed Iraqi government sources who claimed that Ankara had provided Baghdad with two planes of gear, including tear gas.
More:
Yasin Aktay, an adviser to Turkish President Recep Tayyip Erdogan, denied the reports and told Al Jazeera on Saturday they aimed to "undermine the high reputation Turkey has with Arabic-speaking people as a result of the policies it pursued in the region".
He added: "We expressed on various occasions our concern over the violence happening between the protesters and the security forces in Iraq and we see the issue as Iraq's internal matter."
Mass protests
For a week in early October, ongoing grievances over poor governance, high unemployment and inadequate public services have prompted tens of thousands of Iraqis in the capital, Baghdad, and across the country's south to take to the streets to protest against the country's ruling elite.
The mass demonstrations, which continued late last month after a three-week hiatus, have been met with a harsh response by security forces, who have used tear gas, rubber bullets and live ammunition against those protesting.
Last month, a government-appointed inquiry tasked with investigating the killings during the first wave of protests found that security forces had used excessive force.
Some 250 people have been killed since the turmoil began.
Aktay said Turkey does not support "either side in this crisis, but we would like both sides to refrain from violence, whether they are protesters or security forces".
Turkish Foreign Minister Mevlut Cavusoglu on Thursday met Mohamed Ali Alhakim, his Iraqi counterpart, on the sidelines of a conference in Istanbul, Turkey's largest city.
"[I] conveyed our wish that well-deserved peace and stability are ensured quickly in Iraq in line with the legitimate expectations of the Iraqi people," Cavusoglu wrote in a Twitter post.


Select Child
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Dou2
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Weight (kg)
Head Circumference
Age
Location/Notes (
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)
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Date
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Weight (kg)
2000-05-01
90
20


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Hibernian: Paul Heckingbottom sacked as head coach
by Brian McLauchlinPaul Heckingbottom has been sacked as Hibernian head coach with the Leith club languishing 10th in the Scottish Premiership.
His exit, along with assistant Robbie Stockdale, comes after Hibs shipped five goals to Celtic in Saturday's League Cup semi-final defeat.
The Englishman had been in charge for almost nine months.
Head of player development Eddie May will take temporary charge supported by Grant Murray and Steven Whittaker.
A club statement said further comment can be expected "in the coming days".
Although unbeaten in his first 10 league games as boss, guiding Hibs from eighth to fifth, his team took nine points from a possible 33 this term.
The 42-year-old has overseen 32 games as Hibs head coach, winning 12, drawing 11 and losing nine.
After succeeding Neil Lennon in February, Heckingbottom successfully led Hibs to a fifth-placed finish, but their form declined at the end of the campaign, and they failed to win any of their five post-split matches.
The former Barnsley and Leeds United boss came under pressure early in the current season as his nine summer signings failed to make a telling impact.
His reluctance to recruit a like-for-like replacement for powerful defensive midfielders Marvin Bartley and Mark Milligan, both of whom left at the end of last term, left Hibs vulnerable at the back, with their goal difference dropping to -10.
Hibs have not won a league game since a last-gasp victory over St Mirren on the opening day of the campaign. They shipped six goals in a heavy loss to Rangers at Ibrox, were held at home by St Johnstone, Ross County and Livingston and were easily swept aside at Motherwell and Kilmarnock.
In September they surrendered a 1-0 lead at home to struggling rivals Hearts, who were winless in 12 top-flight matches, allowed the Tynecastle side to leapfrog Hibs.
Heckingbottom's departure means both of Edinburgh's Premiership clubs are looking for a new manager after Craig Levein left Hearts last week.
'Heckingbottom pays price for recruitment' - analysis
Former Hibernian midfielder Michael Stewart on Sportsound
The Hibs supporters have not been happy for a long time. I think Paul Heckingbottom's problem has been his recruitment in the summer, it just has not worked.
He let go of some players that I think would be doing a lot better than the guys that he's brought in and he's ultimately paid the price because of that recruitment in the summer that has left a gaping hole through the spine of their team.


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