labeled
by None at 2022-08-16 12:50:33.labeled
by None at 2022-08-16 12:50:47.closed
by None at 2022-08-16 12:51:23.client.get('users/5', Connection: 'keep-alive').parsed
returns a response; now trying with a big request
client.get('users/5', Connection: 'keep-alive').parsed
returns a response; now trying with a big request
This times out just the same
The correct parameter is containers = @client.get("#{resource}/top_containers", { timeout: 1000 }).parsed
(1000 may be overkill, but it's now returning containers)
assigned
by None at 2022-08-16 15:46:40.closed
by None at 2022-08-16 18:40:00.The endpoint for retrieving all instances associated with a collection times out even with moderately-sized collections:
Example: /repositories/3/resources/1511/top_containers
If we can't get the endpoint to work, we'll need to go through a cascade of API calls (resource --> resolve ao's --> resolve instances), which is going to slow down the process dramatically. It currently takes about half an hour without instances. I've contacted Lyrasis and asked whether anything can be done on my side or theirs to optimize calls to this endpoint.
Timeout issue is resolved (https://github.com/pulibrary/aspace_helpers/issues/245) by adding a timeout
parameter to the get request.
labeled
by None at 2022-08-16 12:50:20.we have tested this pr and https://github.com/pulibrary/princeton_ansible/pull/2781 in bibdata-stgaing and bibdata-qa. We will run both in bibdata production on 08/16/22
referenced
by Christina Chortaria at 2022-08-16 11:36:55.merged
by Christina Chortaria at 2022-08-16 11:36:55.closed
by Christina Chortaria at 2022-08-16 11:36:55.head_ref_deleted
by Christina Chortaria at 2022-08-16 11:36:56.referenced
by Christina Chortaria at 2022-08-16 14:31:09.merged
by Christina Chortaria at 2022-08-16 14:31:09.closed
by Christina Chortaria at 2022-08-16 14:31:09.head_ref_deleted
by Christina Chortaria at 2022-08-16 14:31:10.We asked Liza in Reserve & Resource Sharing if it's possible not to place CDL items in temporary locations. Liza instructed staff in Reserves that CDL items that go on 'Reserve' not to be in a temporary location. We should keep this issue open until we make sure that CDL records are not placed in temporary locations and that the ones in temporary locations have been reassigned to a permanent location.
unassigned
by Christina Chortaria at 2022-08-16 15:24:28.unlabeled
by Christina Chortaria at 2022-08-16 15:24:33.closed
by Jane Sandberg at 2022-08-16 22:19:04.deployed
by None at 2022-08-16 17:37:58.head_ref_force_pushed
by Eliot Jordan at 2022-08-16 17:50:37.deployed
by None at 2022-08-16 17:52:20.referenced
by Trey Pendragon at 2022-08-16 18:00:55.merged
by Trey Pendragon at 2022-08-16 18:00:55.closed
by Trey Pendragon at 2022-08-16 18:00:55.head_ref_deleted
by Trey Pendragon at 2022-08-16 18:00:56.assigned
by Eliot Jordan at 2022-08-16 18:21:27.deployed
by None at 2022-08-16 21:48:39.referenced
by Trey Pendragon at 2022-08-16 22:07:48.merged
by Trey Pendragon at 2022-08-16 22:07:48.closed
by Trey Pendragon at 2022-08-16 22:07:49.head_ref_deleted
by Trey Pendragon at 2022-08-16 22:07:49.reopened
by James R. Griffin III at 2022-08-16 13:10:23.closed
by James R. Griffin III at 2022-08-16 13:10:35.https://github.com/PrincetonUniversityLibrary/princeton-5/compare/dataspace-prod...hotfix-ip-campus-dataspace-prod-2022-08-15 contains the most recent updates which should prove effective for the production
environment.
assigned
by James R. Griffin III at 2022-08-16 13:14:34.labeled
by James R. Griffin III at 2022-08-16 13:14:41.labeled
by James R. Griffin III at 2022-08-16 13:14:47.labeled
by Bess Sadler at 2022-08-16 13:47:21.referenced
by James R. Griffin III at 2022-08-16 20:13:48.merged
by James R. Griffin III at 2022-08-16 20:13:48.closed
by James R. Griffin III at 2022-08-16 20:13:48.head_ref_deleted
by James R. Griffin III at 2022-08-16 20:13:49.referenced
by James R. Griffin III at 2022-08-16 20:34:20.merged
by James R. Griffin III at 2022-08-16 20:34:20.closed
by James R. Griffin III at 2022-08-16 20:34:20.head_ref_deleted
by James R. Griffin III at 2022-08-16 20:34:20.This is working now. Thanks @acozine!
closed
by Eliot Jordan at 2022-08-16 17:27:05.mentioned
by Alicia Cozine at 2022-08-16 17:27:05.subscribed
by Alicia Cozine at 2022-08-16 17:27:05.mentioned
by Kate Lynch at 2022-08-16 18:27:16.subscribed
by Kate Lynch at 2022-08-16 18:27:16.renamed
by Trey Pendragon at 2022-08-16 19:28:52.referenced
by Eliot Jordan at 2022-08-16 16:02:20.merged
by Eliot Jordan at 2022-08-16 16:02:20.closed
by Eliot Jordan at 2022-08-16 16:02:20.head_ref_deleted
by Eliot Jordan at 2022-08-16 16:02:23.Looking at the codebase I see there are already a few files related to borrow direct that don't seem to be used
https://github.com/pulibrary/orangelight/blob/main/app/models/concerns/requests/bd_utils.rb https://github.com/pulibrary/orangelight/blob/main/app/models/requests/borrow_direct_lookup.rb
This is the file where the current behavior that tries a BD request, followed by an ILLiad request is present.
Our new state when ReShare is launched will be to just execute this method https://github.com/pulibrary/orangelight/blob/ddb644404b5471b5c7d263efc9f62be017ef0b1e/app/models/requests/submissions/borrow_direct.rb#L72 for every item. At some point ReShare may have an API where we can return to the former behavior but as I understand thing will be available post-launch.
assigned
by None at 2022-08-16 15:59:31.closed
by Max Kadel at 2022-08-16 16:12:46.Coverage remained the same at 94.524% when pulling b398cb02e26b0b906229aea578a50f5c272784ed on 3003-resource-sharing-availability into 70f77abb34bfe0401d7b04ba375daca8b8c35df3 on main.
ready_for_review
by None at 2022-08-16 15:32:59.review_requested
by Christina Chortaria at 2022-08-16 15:39:48.Complete ticket #3091 prior to completing this one.
assigned
by None at 2022-08-16 18:31:42.unassigned
by None at 2022-08-16 18:48:19.assigned
by Jane Sandberg at 2022-08-16 19:17:01.@christinach Can we close this ticket then? Or do we need to update our error handling?
@kevinreiss the error handling was added to track items that have no delivery mode. I opened it in case we want to track down the items and why they don't have a delivery mode. Do we need to create a report for circulation? Or was there another reason for raising this exception.
reopened
by Christina Chortaria at 2022-08-16 19:03:56.mentioned
by Christina Chortaria at 2022-08-16 19:16:18.subscribed
by Christina Chortaria at 2022-08-16 19:16:19.mentioned
by Kevin Reiss at 2022-08-16 19:21:23.subscribed
by Kevin Reiss at 2022-08-16 19:21:23.assigned
by None at 2022-08-16 19:27:22.Coverage increased (+0.005%) to 94.515% when pulling e94a1671570de5648f4dded9fef570ab02ac1256 on nondbadmins into a9ceefcafad845b7d8f3b6a4ce5afb339d0260dd on flipflopwithadmins.
ready_for_review
by Max Kadel at 2022-08-16 19:31:40.deployed
by None at 2022-08-16 19:43:26.referenced
by Max Kadel at 2022-08-16 20:00:22.merged
by Max Kadel at 2022-08-16 20:00:22.closed
by Max Kadel at 2022-08-16 20:00:22.head_ref_deleted
by Max Kadel at 2022-08-16 20:00:23.referenced
by Jane Sandberg at 2022-08-16 20:09:19.Coverage decreased (-0.009%) to 94.515% when pulling 7c85cfcd420418768450bd602e06887c0af8e944 on flipflopwithadmins into 70f77abb34bfe0401d7b04ba375daca8b8c35df3 on main.
I think what that is showing is the Rails ActiveRecord - you can turn on different strategies, and right now the only two active strategies are active_record and default. If we added another strategy - cookies, sequel, redis, etc., those columns would be added to the dashboard, in the order listed in the config/features.rb
file
deployed
by None at 2022-08-16 14:08:41.ready_for_review
by Max Kadel at 2022-08-16 14:13:18.deployed
by None at 2022-08-16 14:25:35.deployed
by None at 2022-08-16 19:57:43.deployed
by None at 2022-08-16 20:00:43.referenced
by Jane Sandberg at 2022-08-16 20:09:18.merged
by Jane Sandberg at 2022-08-16 20:09:18.closed
by Jane Sandberg at 2022-08-16 20:09:18.head_ref_deleted
by Jane Sandberg at 2022-08-16 20:09:19.closed
by Jane Sandberg at 2022-08-16 20:09:19.labeled
by Jane Sandberg at 2022-08-16 21:25:21.labeled
by Jane Sandberg at 2022-08-16 21:45:28.Coverage increased (+0.02%) to 94.533% when pulling c410079cef847c91e6f70b76e66044ab2c7f7d69 on i3083linkpurposeincontext into f17752c6623eaa56cde5062e8f9643d5a05b3d45 on main.
deployed
by None at 2022-08-16 21:48:21.Need to handle state transition errors:
head_ref_force_pushed
by None at 2022-08-16 11:52:56.referenced
by Bess Sadler at 2022-08-16 13:48:39.merged
by Bess Sadler at 2022-08-16 13:48:39.closed
by Bess Sadler at 2022-08-16 13:48:39.head_ref_deleted
by Bess Sadler at 2022-08-16 13:48:40.closed
by Bess Sadler at 2022-08-16 13:48:42.reopened
by Bess Sadler at 2022-08-16 13:58:15.assigned
by James R. Griffin III at 2022-08-16 13:30:49.labeled
by James R. Griffin III at 2022-08-16 14:04:05.assigned
by Bess Sadler at 2022-08-16 13:58:52.assigned
by Robert-Anthony Lee-Faison at 2022-08-16 14:38:18.referenced
by Bess Sadler at 2022-08-16 19:03:39.merged
by Bess Sadler at 2022-08-16 19:03:39.closed
by Bess Sadler at 2022-08-16 19:03:39.head_ref_deleted
by Bess Sadler at 2022-08-16 19:03:40.assigned
by None at 2022-08-16 12:31:53.referenced
by None at 2022-08-16 18:02:38.referenced
by None at 2022-08-16 18:17:45.closed
by Bess Sadler at 2022-08-16 19:03:40.referenced
by Bess Sadler at 2022-08-16 19:03:40.head_ref_force_pushed
by None at 2022-08-16 11:47:00.run successfully on staging and prod
referenced
by Christina Chortaria at 2022-08-16 10:35:44.merged
by Christina Chortaria at 2022-08-16 10:35:44.closed
by Christina Chortaria at 2022-08-16 10:35:44.head_ref_deleted
by Christina Chortaria at 2022-08-16 10:35:45.review_dismissed
by Francis Kayiwa at 2022-08-16 11:41:18.referenced
by Francis Kayiwa at 2022-08-16 11:41:36.merged
by Francis Kayiwa at 2022-08-16 11:41:36.closed
by Francis Kayiwa at 2022-08-16 11:41:36.head_ref_deleted
by Francis Kayiwa at 2022-08-16 11:41:37.closed
by Francis Kayiwa at 2022-08-16 11:41:37.head_ref_force_pushed
by Francis Kayiwa at 2022-08-16 11:48:47.review_requested
by Francis Kayiwa at 2022-08-16 12:07:58.referenced
by Christina Chortaria at 2022-08-16 12:26:25.merged
by Christina Chortaria at 2022-08-16 12:26:25.closed
by Christina Chortaria at 2022-08-16 12:26:25.head_ref_deleted
by Christina Chortaria at 2022-08-16 12:26:26.We can set this playbook to run on a schedule through Ansible Tower.
Related to #3009.
has been run on lib-adc1
and lib-adc2
referenced
by Christina Chortaria at 2022-08-16 14:28:15.merged
by Christina Chortaria at 2022-08-16 14:28:15.closed
by Christina Chortaria at 2022-08-16 14:28:15.head_ref_deleted
by Christina Chortaria at 2022-08-16 14:28:16.The http://nginx.org/en/docs/http/ngx_http_core_module.html#client_max_body_size docs suggest that this is not the source of the issue, since set to 0
the load-balancer should not check the size of uploaded files.
Two possible fixes to investigate: - look at the block size in the location stanza - check the browser tab for the error code we're seeing here
ready_for_review
by Robert-Anthony Lee-Faison at 2022-08-16 15:44:12.Looked at in the Ansible Open House - agreed to break out the inventory to match group_vars (so, for example, put the zookeeper boxes in a separate file).
head_ref_force_pushed
by Jane Sandberg at 2022-08-16 16:13:38.ready_for_review
by Jane Sandberg at 2022-08-16 16:52:46.referenced
by Alicia Cozine at 2022-08-16 17:10:55.merged
by Alicia Cozine at 2022-08-16 17:10:55.closed
by Alicia Cozine at 2022-08-16 17:10:55.head_ref_deleted
by Alicia Cozine at 2022-08-16 17:10:56.referenced
by Alicia Cozine at 2022-08-16 17:16:21.merged
by Alicia Cozine at 2022-08-16 17:16:21.closed
by Alicia Cozine at 2022-08-16 17:16:21.head_ref_deleted
by Alicia Cozine at 2022-08-16 17:16:22.Needs to be tested and implemented before we merge. Will close #2370.
Related to #3220.
closing as duplicate of #3220
closed
by Jane Sandberg at 2022-08-16 17:21:31.Duplicate issue with example playbook output: #3246
This could be because a package has been broken. There has not been regular patches applied.
Related to https://github.com/pulibrary/princeton_ansible/pull/3258
This may solve this issue: https://github.com/pulibrary/princeton_ansible/pull/3206
assigned
by None at 2022-08-16 17:30:45.unassigned
by None at 2022-08-16 17:30:56.assigned
by Robert-Anthony Lee-Faison at 2022-08-16 17:31:08.referenced
by Max Kadel at 2022-08-16 18:21:57.merged
by Max Kadel at 2022-08-16 18:21:57.closed
by Max Kadel at 2022-08-16 18:21:57.head_ref_deleted
by Max Kadel at 2022-08-16 18:21:58.referenced
by Francis Kayiwa at 2022-08-16 20:23:47.merged
by Francis Kayiwa at 2022-08-16 20:23:47.closed
by Francis Kayiwa at 2022-08-16 20:23:47.head_ref_deleted
by Francis Kayiwa at 2022-08-16 20:23:48.referenced
by Christina Chortaria at 2022-08-16 20:30:45.merged
by Christina Chortaria at 2022-08-16 20:30:45.closed
by Christina Chortaria at 2022-08-16 20:30:45.head_ref_deleted
by Christina Chortaria at 2022-08-16 20:30:46.head_ref_force_pushed
by None at 2022-08-16 17:42:16.head_ref_force_pushed
by None at 2022-08-16 20:12:54.ready_for_review
by None at 2022-08-16 20:14:42.referenced
by None at 2022-08-16 21:15:35.merged
by None at 2022-08-16 21:15:35.closed
by None at 2022-08-16 21:15:35.head_ref_deleted
by None at 2022-08-16 21:15:36.assigned
by Bess Sadler at 2022-08-16 15:51:35.assigned
by Robert-Anthony Lee-Faison at 2022-08-16 15:51:35.referenced
by Trey Pendragon at 2022-08-16 17:34:48.merged
by Trey Pendragon at 2022-08-16 17:34:48.closed
by Trey Pendragon at 2022-08-16 17:34:48.head_ref_deleted
by Trey Pendragon at 2022-08-16 17:34:49.


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8.6 Interface for Open-Addressed
Hash Tables
int ohtbl_init(OHTbl *htbl, int positions, int (*h1)(const void *key)
int (*h2)(const void *key), int (*match)(const void *key1
const void *key2), void (*destroy)(void *data));
Return Value
0if
initializing the hash table is successful, or -1 otherwise.
Description
Initializes the open-addressed hash table
specified by htbl. This operation must be
called for an open-addressed hash table before the hash table
can be used with any other operation. The number of positions
to be allocated in the hash table is specified by
positions. The function pointers
h1 and h2 specify user-defined
auxiliary hash functions for double hashing. The function
pointer match specifies a user-defined
function to determine if two keys match. It should perform in
a manner similar to that described for chtbl_init. The
destroy argument provides a way to free
dynamically allocated data when ohtbl_destroy is called. It works in
a manner similar to that described for chtbl_destroy. For an open-addressed
hash table containing data that should not be freed,
destroy should be set to NULL.
Complexity
O (m), where m is the number of positions in the
hash table.
void ohtbl_destroy(OHTbl *htbl);
Return Value
None.
Description
Destroys the open-addressed hash table
specified by htbl. No other operations are
permitted after calling ohtbl_destroy unless ohtbl_init is called again. The ohtbl_destroy operation removes all
elements from a hash table and calls the function passed as
destroy to ohtbl_init once for each element as
it is removed, provided destroy was not set to
NULL.
Complexity
O (m), where m is the number of positions in the
hash table.
int ohtbl_insert(OHTbl *htbl, const void *data);
Return Value
0if inserting the element is successful, 1 if
the element is already in the hash table, or -1 otherwise.
Description
Inserts an element into the open-addressed
hash table specified by htbl. The new element
contains a pointer to data, so the memory
referenced by data should remain valid as long
as the element remains in the hash table. It is the
responsibility of the caller to manage the storage associated
with data.
Complexity
O (1)
int ohtbl_remove(OHTbl *htbl, void **data);
Return Value
0if removing the element is successful, or -1
otherwise.
Description
Removes the element matching
data from the open-addressed hash table
specified by htbl. Upon return,
data points to the data stored in the element
that was removed. It is the responsibility of the caller to
manage the storage associated with the data.
Complexity
O (1)
int ohtbl_lookup(const OHTbl *htbl, void **data);
Return Value
0if the element is found in the hash table,
or -1 otherwise.
Description
Determines whether an element matches
data in the open-addressed hash table
specified by htbl. If a match is found, upon
return data points to the matching data in the
hash table.
Complexity
O (1)
int ohtbl_size(const OHTbl *htbl);
Return Value
Number of elements in the hash table.
Description
Macro that evaluates to the number of
elements in the open-addressed hash table specified by
htbl.
Complexity
O (1)
|


All Classes
AnimateDrawable
CarWarning
ClientServerMaker
CollisionAlgorithm
MainActivity
PedWarning
ProxyDrawable
WifiBroadcastReceiver
WriteGpsService


Vesta is a web based application that will be utilized by an average internet user. This web application is intended to allow users to acquire potential living locations based on abstract specifications regarding the area. To garner said information, the user will specify quality of life attributes desired within a defined radius. These characters may include meteorological data (i.e. average temperature, average weather conditions), geographical information, etc. The application will compare the inputted information to specified open source databases to determine the locations that fit the criteria. Once the locations have been determined by the software on the back-end, they will be displayed to the user.


class: center, middle, inverse, title-slide #
To the Tidyverse and Beyond: Challenges for the Future in Data Science ###
Di Cook
Monash University ###
bit.ly/rstudio-cook
Feb 2, 2018 --- class: inverse middle center background-image: url(title.png) background-size: 100% Source: --- class: middle center # Who uses the tidyverse? ![](img/tidyverse.png) .medium[Tell us why [bit.ly/rstudio-tidyverse](https://public.etherpad-mozilla.org/p/RStudio-tidyverse)] --- .left-column[  ] .right-column[ # Reported reasons Automatic legends, colors, … The “default” output is much nicer than with base graphics Combine multiple data sets into a single graph with a snap-together easy facetting ++ Store any ggplot2 object for modification or future recall. https://github.com/tidyverse/ggplot2/wiki/Why-use-ggplot2 ] --- # My reasons .medium[It is also better from a statistics perspective. The grammar of graphics provides a tight connection between data and statistics, in order to do inference with data plots.] --- # Outline - How statistics builds on the tidyverse - Why we need inference - Some examples - How do you play with these ideas - The connection with interactive graphics - Acknowledgements and references --- class: middle center # Tidy data 1. Each variable is in a column 2. Each observation is a row 3. Each value is a cell  --- class: middle center .medium[**Open up an intro statistics textbook...**] --- class: middle center background-image: url(img/intro-stats.png) background-size: 100% --- class: middle center .medium[**...and you will find that statistics starts once you have tidy data.**] --- class: middle center background-image: url(img/messy_to_tidy1.png) background-size: 100% .footnote[Example from Hadley Wickham's workshops] --- class: middle center background-image: url(img/messy_to_tidy2.png) background-size: 100% --- class: middle center background-image: url(img/messy_to_tidy3.png) background-size: 100% --- # A statistic is a function of the data For example, the sample mean, `$$\bar{X}=\frac{1}{n}\sum_{i=1}^{n} X_i$$` and standard deviation, `$$s_{X}=\sqrt{\frac{1}{n-1}\sum_{i=1}^{n}(X_i-\bar{X})^2}$$` --- class: middle center # This is what I really like about ggplot2, it makes plots another type of statistic. --- ```r tidy_data %>% filter(iso2 == "US") %>% ggplot(aes(x = year, y = count, fill = gender)) + geom_bar(stat = "identity", position = "fill") + facet_grid(~ age) + scale_fill_manual("", values=c(ochre_palettes$lorikeet[1], ochre_palettes$lorikeet[2])) ```  --- ```r tidy_data %>% filter(iso2 == "US") %>% ggplot(aes(x = year, y = count, fill = gender)) + geom_bar(stat = "identity") + facet_grid(~ age) + scale_fill_manual("", values=c(ochre_palettes$lorikeet[1], ochre_palettes$lorikeet[2])) ```  --- ```r tidy_data %>% filter(iso2 == "US") %>% ggplot(aes(x = year, y = count, fill = gender)) + geom_bar(stat = "identity", position="dodge") + facet_grid(~ age) + scale_fill_manual("", values=c(ochre_palettes$lorikeet[1], ochre_palettes$lorikeet[2])) ```  --- ```r tidy_data %>% filter(iso2 == "US") %>% ggplot(aes(x = year, y = count, fill = gender)) + geom_bar(stat = "identity") + facet_grid(gender ~ age) + scale_fill_manual("", values=c(ochre_palettes$lorikeet[1], ochre_palettes$lorikeet[2])) ```  --- ```r tidy_data %>% filter(iso2 == "US") %>% ggplot(aes(x = year, y = count, fill = gender)) + geom_bar(stat = "identity") + facet_grid(gender ~ age) + scale_fill_manual("", values=c(ochre_palettes$lorikeet[1], ochre_palettes$lorikeet[2])) + coord_polar() ```  --- ```r tidy_data %>% filter(iso2 == "US") %>% ggplot(aes(x = year, y = count, fill = gender)) + geom_bar(stat = "identity") + facet_grid(gender ~ age) + scale_fill_manual("", values=c(ochre_palettes$lorikeet[1], ochre_palettes$lorikeet[2])) + coord_polar() ```  --- ```r tidy_data %>% filter(iso2 == "US") %>% ggplot(aes(x = 1, y = count, fill = factor(year))) + geom_bar(stat = "identity", position="fill") + facet_grid(gender ~ age) + scale_fill_ochre("year", palette="lorikeet") + theme(legend.position="bottom") ```  --- ```r tidy_data %>% filter(iso2 == "US") %>% ggplot(aes(x = 1, y = count, fill = factor(year))) + geom_bar(stat = "identity", position="fill") + facet_grid(gender ~ age) + scale_fill_ochre("year", palette="lorikeet") + coord_polar(theta="y") + theme(legend.position="bottom") ```  ---  .footnote[Source: https://www.wired.com/wp-content/uploads/2016/01/DB-Transformation-Colour.gif] --- class: middle center # Now we can start doing statistics with plots, actually statistical inference --- # Population and sample Inference happens when you have information on a .orange[subset of data], and you want to make statements about the .orange[full set]. Typically, inference is done using the .orange[sample statistics], and what we know about the .orange[behaviour of that statistic] over all possible subsets, of the same size. ![](img/population.png) --- # Population and sample Inference happens when you have information on a .orange[subset of data], and you want to make statements about the .orange[full set]. Typically, inference is done using the .orange[sample statistics], and what we know about the .orange[behaviour of that statistic] over all possible subsets, of the same size. ![](img/sample1.png) One sample --- # Population and sample Inference happens when you have information on a .orange[subset of data], and you want to make statements about the .orange[full set]. Typically, inference is done using the .orange[sample statistics], and what we know about the .orange[behaviour of that statistic] over all possible subsets, of the same size. ![](img/sample2.png) Sample again --- # Population parameters If we assume that the .orange[population can be described by a distribution], characterized by parameters such as the population mean, `\(\mu\)` and standard deviation, `\(\sigma\)`, e.g. the bell curve, `$$N(\mu, \sigma)$$` then the sample statistic behaves nicely, close to the population mean, and closer still when the sample size, `\(n\)` is large. This is parametric statistics. --- # Non-parametric If we .orange[don't want to assume the population has a known distribution], but we'd still like to be able to say something about the population based on the sample at hand, we can use methods like .orange[**bootstrap**] to sample the sample with replacement, or .orange[**permutation**] to break associations between variables. The behaviour of the statistic over the bootstrap samples can give us information about the analogous population quantity. And the behaviour of the statistic over permutations shows us what we might expect if there really is no association. --- class: middle center # For plots, we can .orange[compare the data plot] with .orange[null plots] of samples where, by construction, there really is nothing going on. --- class: middle center .medium[**Why do we need inference?**] --- class: middle center background-image: url(img/drob_twitter.png) background-size: 60% --- # Followed by *Below is a simple scatterplot of the two variables of interest. A slight negative slope is observed, but it does not look very large. There are a lot of states whose capitals are less than 5% of the total population. The two outliers are Hawaii (government rank 33 and capital population 25%) and Arizona (government rank 26 and capital population 23%). Without those two the downward trend (an improvement in ranking) would be much stronger.* *I ran linear regressions of government rank on the percentage of each state’s population living in the capital city, state population (in 100,000s), and state GDP (in $100,000s).... The .orange[coefficient is not significant] for any regression at the traditional 5% level.* *... .orange[I'm not convinced that the lack of significance is itself significant.]* .footnote[Analysis in Tick Tock blog, by Graham Tierney.] --- class: middle center .medium[Because we make inference with plots anyway, without a firm foundation.] --- class: middle center .medium[Let's do some inference....] # Which one of the following plots shows the strongest relationship between the two variables? --- class: middle center background-image: url(img/govt_lineup.png) background-size: 80% --- class: middle center .medium[**Why do we need inference?**] .footnote[plot number 12] --- class: middle center .medium["Spatiotemporal statistics is what happens after all the interesting stuff is done."] .pull-right[] .footnote[Heike Hofmann, Statistics, Iowa State University] --- class: middle center .medium[**Because then we can make discoveries with graphics and confidently crow about them.**] --- .left-column[ # Visual inference
 protocols ] .right-column[ - **Rorschach protocol**: Before looking at the data, plot a lot of null samples, to get a sense for what might be seen when there really is nothing to be seen. - **Lineup protocol**: Embed the plot of the data among a field of plots of null samples. Ask someone who's not related to you, to pick the one that's different. If they pick the data plot, this is evidence for the data to have structure that is significantly different from what might be expected by chance. ] --- .left-column[ # How do you generate null samples? ] .right-column[ - **Permutation**: Take one of the variables of interest (one columnm of tidy data) and scramble the order. This breaks any association with other variables. - **Simulation**: Assume that a variable has values that follow a given statistical distribution. Sample values from this distribution. ] --- class: middle center # Putting this all together --- .left-column[ # When you make a plot of data ] .right-column[ # think about... - What is the .orange[question] you are trying the answer from the plot, hence explicitly stating the .orange[null hypothesis and alternative]. - How .orange[variables] are mapped to graphical elements. - What a .orange[null generating mechanism] could be, that woud ensure samples are drawn from a null scenario, of nothing to be seen. - What are possible .orange[alternative plot designs]. ] --- # Worked examples - good government - cancer map - flying etiquette --- .pull-left[  ] .pull-right[ - **Question**: Is good government related to population centres? - **Null**: Nope - **Alternative**: Yes - Variables mapped to graphical elements - x=%Pop, y=Rank, geom=point - ......., geom=smooth/lm, se - Null generating method: - Permute x, resulting in *no real association* - Alternatives: - log the %Pop values - No lm, no se ] --- class: middle center background-image: url(img/govt_lineup.png) background-size: 80% --- .pull-left[  Cancer incidence across the US 2010-2014, all cancer types, per 100k. .footnote[Data from American Cancer Society, https://cancerstatisticscenter.cancer.org] ] .pull-right[ - **Question**: Is there spatial dependency? - Null: Nope - Alternative: Yep - Variables mapped to graphical elements - x=long, y=lat, geom=map/polygon - color=Incidence - Null generating method: - Permute Incidence, breaks any spatial dependence ] --- class: middle center # Melanoma a .orange[different cancer] from what we just looked at, because once you've seen the data its .orange[hard to "unsee it"] ---  --- class: middle center [41% Of Fliers Think You’re Rude If You Recline Your Seat](http://fivethirtyeight.com/datalab/airplane-etiquette-recline-seat/) FiveThirtyEight article by Walt Hickey, Sep 2014 ---  --- background-image: url(img/hyptesting.pdf) background-size: 90% --- class: center middle # Interesting tidbit The first lineup was done by Neyman, Scott and Shane (1953) to examine the universe .orange["If one actually distributed the cluster centres in space and then placed the galaxies in the clusters exactly as prescribed by the model, would the resulting picture on the photographic plate look anything like that on an actual plate...?"] .footnote[The hard work was of course done by .orange[Computers], consisting of an office with three female assistants whose work was acknowledged as requiring a tremendous amount of care and attention.] --- # p-values The *p*-value is the probability that the data plot is extreme, if there really is no structure in the population. **The lower the better!** ```r library(nullabor) data(turk_results) turk_results %>% filter(pic_id == "105") %>% count(detected) ``` ``` #> # A tibble: 2 x 2 #> detected n #> <int> <int> #> 1 0 4 #> 2 1 13 ``` ```r pvisual(13, 17) ``` ``` #> x simulated binom #> [1,] 13 0 2.398082e-14 ``` --- # p-values ```r turk_results %>% filter(pic_id == "116") %>% count(detected) ``` ``` #> # A tibble: 2 x 2 #> detected n #> <int> <int> #> 1 0 14 #> 2 1 2 ``` ```r pvisual(2, 16) ``` ``` #> x simulated binom #> [1,] 2 0.2056 0.1892403 ``` --- # Our trial .pull-left[  ] .pull-right[ ```r pvisual(20, 50) ``` ``` #> x simulated binom #> [1,] 20 0 1.042499e-13 ``` ] .footnote[run directly in R] --- # ...and power Power is the probability that the data plot is detected when there really is some structure in the population. **The higher the better!** ```r visual_power(turk_results) ``` ``` #> # A tibble: 6 x 3 #> pic_id power n #> <int> <dbl> <int> #> 1 36 0 18 #> 2 105 0.746 17 #> 3 116 0.125 16 #> 4 131 0.842 14 #> 5 159 0.656 15 #> 6 225 0.130 15 ``` --- .pull-left[  ] .pull-right[  ] Best design to answer this question: "Do males and females perceive the etiquette of bringing a baby on board differently?" .footnote[Hofmann et al (2012) InfoVis] --- .pull-left[  ] .pull-right[ Hypothesis testing provides rigor to data analysis. Its very important to do it rigorously. .orange[**The hypothesis for data plots comes from the type of plot being used.**] When you add the data to the plot, it becomes a test statistic. Hypotheses never come from looking at the data first, but from the underlying problem to be solved. ] --- # The nullabor package ```r fly_sub_lineup <- lineup( null_dist(var="gender", dist="binomial", params=list(p=0.533, n=809, size=1)), fly_sub, n=12) ``` ``` #> decrypt("lsQR SKiK fq Ic6fifcq w") ``` .footnote[https://github.com/dicook/nullabor] --- background-image: url(img/andreas.png) background-size: 70% # Inference and interactive graphics .pull-left[The 1980s dataviewer interactive graphics software by Buja, Hurley, Stuetzle, McDonald http://stat-graphics.org/movies/dataviewer.html had tools to compare data plots with null plots! ] --- class: center middle But equally important, the interactive graphics system was built on a .orange[data pipeline] in which the data played the central engine.  .footnote[Xie et al (2014) Statistical Science] --- # Summary - Tidy data provides the glue from raw data to the data in the statistics textbooks - it fills that vast chasm that has existed and exasperated for eons. - No longer do statisticians have to request the clean tabular format csv file before they can get started --- # Summary - The grammar of graphics provides the functional mapping of variable to plot element that makes data plots become statistics that we can do inference on - Visual inference protocol gives some "teeth" to the discoveries - ... and helps to avoid apophenia - Prevents *p*-hacking and supports practical significance - Think about interactive graphics and inference procedures as part of the data pipeline --- class: inverse # Joint work! - Inference: Andreas Buja, Heike Hofmann, Mahbub Majumder, Hadley Wickham, Eric Hare, Susan Vanderplas, Niladri Roy Chowdhury, Nat Tomasetti. - Interactive graphics: Debby Swayne, Andreas Buja, Duncan Temple Lang, Heike Hofmann, Michael Lawrence, Hadley Wickham, Yihui Xie, Xiaoyue Cheng. Contact: [
](http://www.dicook.org<EMAIL_ADDRESS>[
](https://twitter.com/visnut) visnut, [
](https://github.com/dicook) dicook .footnote[Slides made with Rmarkdown, xaringan package by Yihui Xie, and lorikeet theme using the [ochRe package](https://github.com/ropenscilabs/ochRe). Available at [github.com/dicook/RStudio-keynote](github.com/dicook/RStudio-keynote].) --- # Further reading - Inference - Buja et al (2009) Statistical Inference for Exploratory Data Analysis and Model Diagnostics, Roy. Soc. Ph. Tr., A - Majumder et al (2013) Validation of Visual Statistical Inference, Applied to Linear Models, JASA - Wickham et al (2010) Graphical Inference for Infovis, InfoVis, Best paper - Hofmann et al (2012) Graphical Tests for Power Comparison of Competing Design, InfoVis --- - Interactive graphics - Buja et al (1987) Elements of a Viewing Data Pipeline for Data Analysis and [Dataviewer](http://stat-graphics.org/movies/dataviewer.html) - Cook and Swayne (2007) [Interactive and Dynamic Graphics for Data Analysis](ggobi.org) - Wickham et al (2009?) [The plumbing of interactive graphics ](http://vita.had.co.nz/papers/plumbing.pdf) - Xie et al (2014) Reactive Programming for Interactive Graphics, Statistical Science --- class: middle center
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


The number of annual electrical equipment accidents caused by floods.
Source: Fire Statistic, National Fire Protection Information Center [ 9].


Criteria for Clones
Criteria for inclusion of global clones in the Network are as follows:
- Clone should have wide geographic distribution (isolated on at least 2 continents; not just within a single city or country).
- Clone can be resistant to one or more antibiotics that are in wide clinical use; or a global susceptible clone known to be important in disease.
- Data on the clone needs to be published or in press before ratification by the network.
- New clones for consideration into the network need to be proposed at annual PMEN meeting.
- Clone must be made available to the network for typing analyses and confirmation before acceptance into the network.
- Clone must be made available for deposit into the ATCC collection of clones.
- Clones will be also available through the Streptococcus Reference Laboratory in Germany and Emory University in USA.
Nomenclature
The nomenclature for the naming of clones is as follows:
Country first identified serotype – sequential numbering in network – subsequent described serotype
ex. Spain23F-1
- Spain = country in which the clone was first identified (based on publication)
- 23F = serotype of the clone first identified
- 1 = clone number 1
- 19F = serotype 19F variant of Spain23F-1 clone


{% extends "layout.html" %} {% block title %}
This website can be used to predict molecular properties using a Message Passing Neural Network (MPNN). In order to make predictions, an MPNN first needs to be trained on a dataset containing molecules along with known property values for each molecule. Once the MPNN is trained, it can be used to predict those same properties on any new molecules.
{% if not config['DEMO'] %}To train an MPNN, go to the Train page, upload a dataset or select a dataset which has already been uploaded, set the desired parameters, name the model, and then click "Train".
{% endif %}To make property predictions using, go to the Predict page, select the trained model checkpoint you want to use, upload or paste the molecules you would like to make predictions on, and then click "Predict".
{% if not config['DEMO'] %}To upload, view, download, or delete datasets and model checkpoints, go to the Data and Checkpoints pages, respectively.
If GPUs are available on your machine, you will see a dropdown menu on the Train and Predict pages which will allow you to select a GPU to use. If you select "None" then only CPUs will be used.
If you wish to train or predict on a remote server, you can use SSH port-forwarding to run training/predicting on the remote server while viewing the website it locally. To do so, follow these instructions:
ssh <remote_user>@<remote_host>
chemprop
directory.chemprop
requirements: source activate <environment_name>
python web/run.py
ssh -N -L 5000:localhost:5000 <remote_user>@<remote_host>


Last night we were fortunate to see this beautiful song performed by The Middle East. Unfortunately it was the only song we saw.  I couldn’t have been more wrong this time. This is exactly the kind of nuanced, thick music I love. I should’ve known Okkervil River would choose their support carefully.
Apologies for the audio quality, it’s hijacked from their MySpace (the band’s only website). While I mostly missed them this time I’ll catch them again when they play in June as part of a big East Coast of Australia tour. See them if you can.


At present, this inspection is disabled in JSP files.
Use the controls below to indicate whether catch blocks containing only comments, empty catch blocks in JUnit tests should be reported and whether to ignore empty catch blocks if the parameter is named 'ignore' or 'ignored'.
Powered by InspectionGadgets


OPAM Libraries
Maintenance
The opam update
command refreshes all your package repositories. The opam upgrade
command recompiles any outdated libraries. You need to run this once per compiler installed, so opam switch
between them.
If you run into any problems with OPAM, then first ask on the MirageOS mailing list, or report a bug. It is safe to delete ~/.opam
and just start the installation again if you run into an unrecoverable situation, as OPAM doesn’t use any files outside of that space.
Development
There are two kinds of OPAM repositories: stable
released versions of packages that have version numbers, and dev
packages that are retrieved via git or darcs (and eventually, other version control systems too).
To develop a new package, create a new opam-repository
Git repo.
$ mkdir opam-repository
$ cd opam-repository
$ git init
$ mkdir packages
$ opam repository add mypkg .
This will configure your local checkout as a package repository, and OPAM will pull from it on every update. Each package lives in a directory named with the version, such as packages/foo.0.1
, and requires three files inside it:
foo.0.1/url
: the URL to the distribution file or git directoryfoo.0.1/opam
: the package commands to install and uninstall itfoo.0.1/descr
: a description of the library or application
It’s easiest to copy the files from an existing package and modify them to your needs (and read the doc for more information). Once you’re done, add and commit the files, issue an opam update
, and the new package should be available for installation (opam install
) or upgrade (opam upgrade
).


Driven by my vision of the future. As a futuristic thinker, I define the reality I want before I set out to create it. In the same way my immigrant family set their sights on a country where diversity is celebrated, I envision the future of tech as an inclusive space where homogeneity in the workplace is a relic of the past.
Turning thoughts into actions, but more importantly, motivating others to do the same. Having always been the person to ask “when should we get started?!”, I’ve come to learn that gassing up my peers has led to greater collective accomplishments. Whether it’s personal goals or academic achievements, I believe it’s necessary to encourage the people in my tribe to level up.
Learn, adjust, evolve, repeat. Being a student is not a temporary state when you have the mindset of a lifelong learner. My approach to daunting tasks is to make incremental strides, recruit feedback, shift, and try again. I believe my greatest strength in the face of failure is targeting what to do differently next iteration.


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In one of my last post I explained how to upgrade Cordova-Android apps outside Google Play Store with angularjs. Today is the turn of iOS applications.
If you work with in-house iOS applications you need to define a distribution strategy (you cannot use Apple Store, indeed). Apple provides documentation to do it. Basically we need to place our ipa file in addition to the plist file (generated when we archive our application with xCode). I’m not going to explain how to do it here. As I said before it’s well documented. Here I’m going to explain how to do the same trick than the Android’s post but now with our iOS application.
With iOS, to install the application, we only need to provide the iTunes link to our plist application (something like this: itms-services://?action=download-manifest&url=http://url.to.plist) and open it with the InAppBrowser plugin.
First we install the InAppBrowser plugin:
$ cordova plugin add https://git-wip-us.apache.org/repos/asf/cordova-plugin-inappbrowser.git
And now we only need to open the url using the plugin:
var iosPlistUrl = 'http://url.to.plist';
cordova.exec(null, null, "InAppBrowser", "open", [encodeURI("itms-services://?action=download-manifest&url=" + iosPlistUrl), "_system"]);
We can use exactly the same angularJs used the the previous post to check the version and the same server-side verification.
We also can detect the platform with Device plugin and do one thing or another depending on we are using Android or iOS.
Here you can see one example using ionic framework. This example uses one $http interceptor to send version number within each request and we trigger ‘wrong.version’ to the event dispatcher when it detects a wrong versions between client and server
angular.module('G', ['ionic'])
.value('appConf', {
version: 1,
apiHost: 'http://localhost:8080'
})
.config(function ($httpProvider, $urlRouterProvider, $stateProvider) {
$httpProvider.interceptors.push('versionInterceptor');
$stateProvider
.state('home', {
url: '/home',
templateUrl: 'partials/home.html',
controller: 'HomeController'
})
.state('upgrade', {
url: '/upgrade',
templateUrl: 'partials/upgrade.html',
controller: 'UpgradeController'
})
;
$urlRouterProvider.otherwise('/home');
})
.run(function ($ionicPlatform, $rootScope, $state) {
$ionicPlatform.ready(function () {
if (window.cordova && window.cordova.plugins.Keyboard) {
cordova.plugins.Keyboard.hideKeyboardAccessoryBar(true);
}
if (window.StatusBar) {
StatusBar.styleDefault();
}
});
$rootScope.$on('wrong.version', function () {
$state.go("upgrade");
});
})
.controller('HomeController', function ($scope, $http, appConf) {
$scope.someAction = function () {
$http.get(appConf.apiHost + "/hello", function (data) {
alert(data);
});
}
})
.controller('UpgradeController', function ($scope) {
$scope.upgrade = function () {
cordova.exec(null, null, "InAppBrowser", "open", [encodeURI("itms-services://?action=download-manifest&url=https://path/to/plist.plist"), "_system"]);
}
})
.factory('versionInterceptor', function ($rootScope, appConf) {
var versionInterceptor = {
request: function (config) {
config.url = config.url + '?_version=' + appConf.version;
return config;
},
responseError: function(response) {
if (response.status == 410) {
$rootScope.$emit('wrong.version');
}
}
};
return versionInterceptor;
})
;


A quick market-driven guide to choosing a profitable start-up name And what profit has to do with naming your startup Josiah Humphrey Jun 23. 9 min read


Previous Topics
-
Brain/Mind – Body Mechanics
Speaker: Tracey Gee
How the two influence and impact on each other. It will be biology 101 covering the triune brain, autonomic nervous system and neuroplasticity.
Strategies such as relaxation response breathing (as opposed to stress response breathing), mindful thought/emotion engagement and healthy attention.
Breathing apps and strategies
Download the handout
Neuroplasticity Video
Music – binaural beats (Alpha) one and two -
Kindness Matters:
The power of mindfulness and self-compassionSpeaker: Anna Friis
Self-compassion is emerging as a balm for many modern day ailments, arising out of scientific studies into the health benefits associated with mindfulness. Not only does self-compassion increase emotional resilience but also protects against the negative effects of stress on wellbeing and physical health. Anna will talk about how mindfulness and self-compassion are skills that can be learned by anyone, bringing a greater sense of ease and happiness, and enabling one to ”breath underwater” when life feels overwhelming. -
Imbalance to Integration:
Moving past the desire for work/life balance to the next levelJai Ivarsson from Realestate.co.nz talks about his personal experiences in juggling a professional career with his family and personal life.
-
The Backfire Effect
(or why facts don't win arguments)Helen Durrant talks about the Backfire Effect and why using facts can often be detrimental to winning an argument.
View her Slides online -
Teamwork Lessons for "A players"
Robert Pearce gives us a preview of his upcoming talk nz.js(con), covering common team scenarios as approached by an "A player" mentality and it's negative cost to the individual, team and company.
View his talk at Javascipt NZ


About Me
Experience
Projects
Get in Touch
About Me
Hey there! Federico Baron Software Engineer
Experience
Projects
Get in Touch


Welcome to the exciting world of Astronomy. Astronomy (from Greek: ἀστρονομία) is a natural science that studies celestial objects and phenomena. It uses mathematics, physics, and chemistry to try and explain their origin and evolution. Objects of interest include planets, moons, stars, nebulae, galaxies, and comets. Relevant phenomena include supernova explosions, gamma ray bursts, quasars, blazars, pulsars, and cosmic microwave background radiation. More generally, astronomy studies everything that originates outside Earth's atmosphere. Cosmology is a branch of astronomy. It studies the Universe as a whole
The Sun is the star at the center of the Solar System. It is a nearly perfect sphere of hot plasma, with internal convective motion that generates a magnetic field via a dynamo process. It is by far the most important source of energy for life on Earth. Its diameter is about 1.39 million kilometers (864,000 miles), or 109 times that of Earth, and its mass is about 330,000 times that of Earth. It accounts for about 99.86% of the total mass of the Solar System.
Earth is the third planet from the Sun and the only astronomical object known to harbor life. According to radiometric dating and other sources of evidence, Earth formed over 4.5 billion years ago. Earth's gravity interacts with other objects in space, especially the Sun and the Moon, Earth's only natural satellite. Earth orbits around the Sun in 365.26 days, a period known as an Earth year. During this time, Earth rotates about its axis about 366.26 times.
Jupiter is the fifth planet from the Sun and the largest in the Solar System. It is a gas giant with a mass one-thousandth that of the Sun, but two-and-a-half times that of all the other planets in the Solar System combined. Jupiter has been known to astronomers since antiquity. It is named after the Roman god Jupiter.When viewed from Earth, Jupiter can be bright enough for its reflected light to cast shadows, and is on average the third-brightest natural object in the night sky after the Moon and Venus.
Subscribe to our newsletter for exciting facts and news about astronomy and space research.
This is the paragraph for block 1 research. BLAH BLah
This is the paragraph for block 2 research. Blah blah. jsnckaS.JDDkDNLJCHSNDCI KDKJBC KHEDKJCN KCKSJCLK KSJHLKAJN KSDHKASJCN


Class: ActiveRecord::Reflection::RuntimeReflection
Do not use. This class is for internal use only.
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
AbstractReflection
|
|
|
Instance Chain:
self,
AbstractReflection
|
|
| Inherits: |
ActiveRecord::Reflection::AbstractReflection
|
| Defined in: | activerecord/lib/active_record/reflection.rb |
Class Method Summary
Instance Attribute Summary
- #constraints readonly
- #join_foreign_key readonly
- #scope readonly
- #type readonly
AbstractReflection
- Inherited
| #counter_must_be_updated_by_has_many?, | |
| #has_cached_counter? | Returns whether a counter cache should be used for this association. |
| #inverse_updates_counter_cache? | |
| #inverse_updates_counter_in_memory?, #strict_loading?, #through_reflection? |
Instance Method Summary
AbstractReflection
- Inherited
| #alias_candidate, | |
| #build_association | Returns a new, unsaved instance of the associated class. |
| #build_scope, #chain, #check_validity_of_inverse!, | |
| #class_name | Returns the class name for the macro. |
| #constraints, #counter_cache_column, #inverse_of, | |
| #inverse_which_updates_counter_cache | We need to avoid the following situation: |
| #join_scope, #join_scopes, #klass_join_scope, | |
| #scopes | Returns a list of scopes that should be applied for this |
| #strict_loading_violation_message, #table_name, | |
| #actual_source_reflection | FIXME: this is a horrible name. |
| #ensure_option_not_given_as_class!, #predicate_builder, #primary_key |
Constructor Details
.new(reflection, association) ⇒ RuntimeReflection
# File 'activerecord/lib/active_record/reflection.rb', line 1067
def initialize(reflection, association) @reflection = reflection @association = association end
Instance Attribute Details
#constraints (readonly)
[ GitHub ]# File 'activerecord/lib/active_record/reflection.rb', line 1065
delegate :scope, :type, :constraints, :join_foreign_key, to: :@reflection
#join_foreign_key (readonly)
[ GitHub ]# File 'activerecord/lib/active_record/reflection.rb', line 1065
delegate :scope, :type, :constraints, :join_foreign_key, to: :@reflection
#scope (readonly)
[ GitHub ]# File 'activerecord/lib/active_record/reflection.rb', line 1065
delegate :scope, :type, :constraints, :join_foreign_key, to: :@reflection
#type (readonly)
[ GitHub ]# File 'activerecord/lib/active_record/reflection.rb', line 1065
delegate :scope, :type, :constraints, :join_foreign_key, to: :@reflection
Instance Method Details
#aliased_table
[ GitHub ]# File 'activerecord/lib/active_record/reflection.rb', line 1076
def aliased_table klass.arel_table end
#all_includes
[ GitHub ]# File 'activerecord/lib/active_record/reflection.rb', line 1084
def all_includes; yield; end
#join_primary_key(klass = self.klass)
[ GitHub ]#klass
[ GitHub ]# File 'activerecord/lib/active_record/reflection.rb', line 1072
def klass @association.klass end


This page helps you configure the Revoc java agent
Command line arguments:
For Maven:
For Tomcat:
For Jetty:


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It is an attribute that captures the values of the form fields and serializes them, as long as it contains the name
attribute. It does not have self-return behavior.
wd(dom).form
It is a method that returns the computed style of the element. The css
argument is the name of the style attribute to search. The function return is an array whose items correspond to the values of the attribute indicated in the argument for each element. It does not have self-return behavior.
wd(dom).getStyle(css)
alert(wd$(Execute#eg7 > p).getStyle());//try it
color blue
background green
underline
It is a method that returns the element contained in the element set from its numeric reference information.
wd(dom).item(index)
The index
argument indicates the element to return. If the number is less than zero, returns the element from the last element (-1 returns the last, -2 the second to last, and so on). If the value is not numeric, returns an array with all elements.
wd$(#eg11 > *).item().textContent;
Text 1
Text 2
Text 3
It is an attributes that returns the number of elements contained in the set.
wd(dom).items
wd$(#eg11 > *).items;


The U.S. Ballot Curing Project
Isaac Frumkin | Nicholas Bowen | Brice Halder | Andrew Zhang
We are a group of undergraduate students studying Computer
Science at Johns Hopkins University. Inspired by the potential to bring positive change, we
are excited to leverage our technical capabilities to help bring our democratic process into
the 21st century.
Software Demo:
Ballot Curing Project Website
Source Code:
Github Repo
Problem
Absentee ballot rejection is the act of “throwing out” votes due
to some sort of error with the ballot.
Potential issues include: invalid/missing signature, ID/address discrepancy, and/or being
registered in the wrong county.
Disproportionately, these issues affect voters from non-white, socioeconomically
disadvantaged communities.
As voting by absentee ballot is projected to become increasingly common in coming election
cycles,
making sure that this process does not perpetuate voter suppression is of great importance.
18 states allow for ballots with issues to be “cured”, a process that allows the voter to
amend their ballot problem
(by submitting additional verification) so that their vote will be counted in the election.
During elections there are
several groups (parties, non-profits, unions, etc.) that work to help voters cure their
ballots. Our team hopes to create
software that will increase the efficiency and accessibility of the ballot curing process by
helping the aforementioned
groups reach more voters with rejected ballots.
Description
Our idea is to create a website that allows users to run queries
on a database to get different outputs.
For example, a group interested in sending out volunteers to a certain county could filter
for rejected ballots that can be cured
in a certain county, while also applying further filters (e.g. race, ethnicity, age, gender,
etc.) depending on the available
information for each state. Currently, we are using publicly available information from the
Georgia Secretary of State
to form the basis of our project before we work to expand it to other states. The data that
we are currently using was taken from the Secretary
of State’s website and is dated by when it was processed, allowing us to compare data over
time.


#include <SFML/Network/Export.h>
#include <SFML/Network/IpAddress.h>
#include <SFML/Network/SocketStatus.h>
#include <SFML/Network/Types.h>
#include <SFML/System/Time.h>
#include <stddef.h>
Go to the source code of this file.
Functions | |
| CSFML_NETWORK_API sfTcpSocket * | sfTcpSocket_create (void) |
| Create a new TCP socket. More... | |
| CSFML_NETWORK_API void | sfTcpSocket_destroy (sfTcpSocket *socket) |
| Destroy a TCP socket. More... | |
| CSFML_NETWORK_API void | sfTcpSocket_setBlocking (sfTcpSocket *socket, sfBool blocking) |
| Set the blocking state of a TCP listener. More... | |
| CSFML_NETWORK_API sfBool | sfTcpSocket_isBlocking (const sfTcpSocket *socket) |
| Tell whether a TCP socket is in blocking or non-blocking mode. More... | |
| CSFML_NETWORK_API unsigned short | sfTcpSocket_getLocalPort (const sfTcpSocket *socket) |
| Get the port to which a TCP socket is bound locally. More... | |
| CSFML_NETWORK_API sfIpAddress | sfTcpSocket_getRemoteAddress (const sfTcpSocket *socket) |
| Get the address of the connected peer of a TCP socket. More... | |
| CSFML_NETWORK_API unsigned short | sfTcpSocket_getRemotePort (const sfTcpSocket *socket) |
| Get the port of the connected peer to which a TCP socket is connected. More... | |
| CSFML_NETWORK_API sfSocketStatus | sfTcpSocket_connect (sfTcpSocket *socket, sfIpAddress host, unsigned short port, sfTime timeout) |
| Connect a TCP socket to a remote peer. More... | |
| CSFML_NETWORK_API void | sfTcpSocket_disconnect (sfTcpSocket *socket) |
| Disconnect a TCP socket from its remote peer. More... | |
| CSFML_NETWORK_API sfSocketStatus | sfTcpSocket_send (sfTcpSocket *socket, const void *data, size_t size) |
| Send raw data to the remote peer of a TCP socket. More... | |
| CSFML_NETWORK_API sfSocketStatus | sfTcpSocket_sendPartial (sfTcpSocket *socket, const void *data, size_t size, size_t *sent) |
| Send raw data to the remote peer. More... | |
| CSFML_NETWORK_API sfSocketStatus | sfTcpSocket_receive (sfTcpSocket *socket, void *data, size_t maxSize, size_t *sizeReceived) |
| Receive raw data from the remote peer of a TCP socket. More... | |
| CSFML_NETWORK_API sfSocketStatus | sfTcpSocket_sendPacket (sfTcpSocket *socket, sfPacket *packet) |
| Send a formatted packet of data to the remote peer of a TCP socket. More... | |
| CSFML_NETWORK_API sfSocketStatus | sfTcpSocket_receivePacket (sfTcpSocket *socket, sfPacket *packet) |
| Receive a formatted packet of data from the remote peer. More... | |
| CSFML_NETWORK_API sfSocketStatus sfTcpSocket_connect | ( | sfTcpSocket * | socket, |
| sfIpAddress | host, | ||
| unsigned short | port, | ||
| sfTime | timeout | ||
| ) |
Connect a TCP socket to a remote peer.
In blocking mode, this function may take a while, especially if the remote peer is not reachable. The last parameter allows you to stop trying to connect after a given timeout. If the socket was previously connected, it is first disconnected.
| socket | TCP socket object |
| remoteAddress | Address of the remote peer |
| remotePort | Port of the remote peer |
| timeout | Maximum time to wait |
| CSFML_NETWORK_API sfTcpSocket* sfTcpSocket_create | ( | void | ) |
Create a new TCP socket.
| CSFML_NETWORK_API void sfTcpSocket_destroy | ( | sfTcpSocket * | socket | ) |
Destroy a TCP socket.
| socket | TCP socket to destroy |
| CSFML_NETWORK_API void sfTcpSocket_disconnect | ( | sfTcpSocket * | socket | ) |
Disconnect a TCP socket from its remote peer.
This function gracefully closes the connection. If the socket is not connected, this function has no effect.
| socket | TCP socket object |
| CSFML_NETWORK_API unsigned short sfTcpSocket_getLocalPort | ( | const sfTcpSocket * | socket | ) |
Get the port to which a TCP socket is bound locally.
If the socket is not connected, this function returns 0.
| socket | TCP socket object |
| CSFML_NETWORK_API sfIpAddress sfTcpSocket_getRemoteAddress | ( | const sfTcpSocket * | socket | ) |
Get the address of the connected peer of a TCP socket.
It the socket is not connected, this function returns sfIpAddress_None.
| socket | TCP socket object |
| CSFML_NETWORK_API unsigned short sfTcpSocket_getRemotePort | ( | const sfTcpSocket * | socket | ) |
Get the port of the connected peer to which a TCP socket is connected.
If the socket is not connected, this function returns 0.
| socket | TCP socket object |
| CSFML_NETWORK_API sfBool sfTcpSocket_isBlocking | ( | const sfTcpSocket * | socket | ) |
Tell whether a TCP socket is in blocking or non-blocking mode.
| socket | TCP socket object |
| CSFML_NETWORK_API sfSocketStatus sfTcpSocket_receive | ( | sfTcpSocket * | socket, |
| void * | data, | ||
| size_t | maxSize, | ||
| size_t * | sizeReceived | ||
| ) |
Receive raw data from the remote peer of a TCP socket.
In blocking mode, this function will wait until some bytes are actually received. This function will fail if the socket is not connected.
| socket | TCP socket object |
| data | Pointer to the array to fill with the received bytes |
| size | Maximum number of bytes that can be received |
| received | This variable is filled with the actual number of bytes received |
| CSFML_NETWORK_API sfSocketStatus sfTcpSocket_receivePacket | ( | sfTcpSocket * | socket, |
| sfPacket * | packet | ||
| ) |
Receive a formatted packet of data from the remote peer.
In blocking mode, this function will wait until the whole packet has been received. This function will fail if the socket is not connected.
| socket | TCP socket object |
| packet | Packet to fill with the received data |
| CSFML_NETWORK_API sfSocketStatus sfTcpSocket_send | ( | sfTcpSocket * | socket, |
| const void * | data, | ||
| size_t | size | ||
| ) |
Send raw data to the remote peer of a TCP socket.
To be able to handle partial sends over non-blocking sockets, use the sfTcpSocket_sendPartial(sfTcpSocket*, const void*, std::size_t, size_t*) overload instead. This function will fail if the socket is not connected.
| socket | TCP socket object |
| data | Pointer to the sequence of bytes to send |
| size | Number of bytes to send |
| CSFML_NETWORK_API sfSocketStatus sfTcpSocket_sendPacket | ( | sfTcpSocket * | socket, |
| sfPacket * | packet | ||
| ) |
Send a formatted packet of data to the remote peer of a TCP socket.
In non-blocking mode, if this function returns sfSocketPartial, you must retry sending the same unmodified packet before sending anything else in order to guarantee the packet arrives at the remote peer uncorrupted. This function will fail if the socket is not connected.
| socket | TCP socket object |
| packet | Packet to send |
| CSFML_NETWORK_API sfSocketStatus sfTcpSocket_sendPartial | ( | sfTcpSocket * | socket, |
| const void * | data, | ||
| size_t | size, | ||
| size_t * | sent | ||
| ) |
Send raw data to the remote peer.
This function will fail if the socket is not connected.
| socket | TCP socket object |
| data | Pointer to the sequence of bytes to send |
| size | Number of bytes to send |
| sent | The number of bytes sent will be written here |
| CSFML_NETWORK_API void sfTcpSocket_setBlocking | ( | sfTcpSocket * | socket, |
| sfBool | blocking | ||
| ) |
Set the blocking state of a TCP listener.
In blocking mode, calls will not return until they have completed their task. For example, a call to sfTcpSocket_receive in blocking mode won't return until new data was actually received. In non-blocking mode, calls will always return immediately, using the return code to signal whether there was data available or not. By default, all sockets are blocking.
| socket | TCP socket object |
| blocking | sfTrue to set the socket as blocking, sfFalse for non-blocking |


New features with this release, as extensions of the Apache
functionality (see also more detailed CHANGES
file) in
the source directory. Because the core code has changed so
significantly, there are certain liberties that earlier versions of
Apache (and the NCSA daemon) took that Apache 1.0 is pickier about -
please check the compatibility notes if
you have any problems.
The API is not yet quite stable (see src/TODO for some possible changes), but anything done now will be easily adapted for future versions --- after all, we have more modules to adapt than you do.


Vyapam scam: man gets 10 years’ RI, ₹5,000 fine
30 others sentenced to seven years in jail
by PRESS TRUST OF INDIAA CBI court in Bhopal on Monday sentenced one man to 10 years in jail and 30 others to seven years’ imprisonment in the multi-crore Vyapam scam in Madhya Pradesh.
The Vyapam scam refers to irregularities in exams held by the Madhya Pradesh Professional Examination Board, also called Vyavasayik Pareeksha Mandal or Vyapam, for admission in professional courses and State services.
CBI special judge
CBI Special Judge S.B. Sahu sentenced Pradeep Tyagi (29) to 10 years’ rigorous imprisonment along with a fine of ₹5,000 after finding him guilty of rigging the 2013 police constable recruitment exams conducted by Vyapam, special prosecutor Satish Dinkar told PTI.
Judge Sahu sentenced 30 others to seven years in jail and fined each one of them ₹30,000, finding them guilty of several offences, including cheating by impersonation, cheating and forgery related to the 2013 police constable exam.
These 30 persons include 12 people, arrested at the time from Bhopal and Datia, who wrote the exams on behalf of other candidates.
91 witnesses
Mr. Dinkar said 91 witnesses were examined in this case.
The MPPEB is now known as Professional Examination Board.


AWS Account Inventory
Total Active Accounts: {}
Account Name
Account ID
Parent
Root Email
Assume Role Link
{}
Page Generated on {}


Man rescues puppy in cage from Champaign lake; police looking for suspect
by WLSCHAMPAIGN, Ill. -- A puppy is recovering after being locked in a cage and thrown into Kaufman Lake in Champaign.
A man fishing on the lake saw the dog and rescued it from the freezing water.
The dog, who's been given the name "Dory" was badly injured with missing patches of fur and was suffering from hypothermia, said animal care officials.
Officials believe the dog is about 8 months old.
Authorities said they are looking for the person responsible for throwing the dog in the lake.


Places all Figma letter spacings into a clean object
Figma allows to provide (in the Figma document itself) letterSpacing in either "%" or "px".
The API internally converts the provided value in a number, which is the calculated value based on the font-size (no unit is provided, but the value corresponds to px)
Ex: if the font-size is 32px and the letterSpacing 4%, the exported value from the API will be 32 * 4 / 100 = 1.28.
In CSS however, the letter-spacing length allows either "px" or "em" units (or even "rem" even though it hardly make any sense for letter-spacing in practice):
Places all Figma letter spacings into a clean object
Figma allows to provide (in the Figma document itself) letterSpacing in either "%" or "px". The API internally converts the provided value in a number, which is the calculated value based on the font-size (no unit is provided, but the value corresponds to px) Ex: if the font-size is 32px and the letterSpacing 4%, the exported value from the API will be 32 * 4 / 100 = 1.28. In CSS however, the letter-spacing length allows either "px" or "em" units (or even "rem" even though it hardly make any sense for letter-spacing in practice):
https://developer.mozilla.org/en-US/docs/Web/CSS/letter-spacing


jQuery Assessment
Courtney Ives, Λ cohort
April 1st (no joke!), 2016
Generate!
Magic Box
Delete
Change color


p.join()
if p.exitcode != 0:
sys.exit(p.exitcode)
// Clean up master process before running workflow, which may create forks
gc.collect()
except:
execution_dict = retval.get("execution_dict", None)
run_uuid = retval.get("run_uuid", None)
retcode = retcode or int(pynets_wf is None)
if retcode != 0:
sys.exit(retcode)
// Clean up master process before running workflow, which may create forks


{% extends "layout.html" %} {% block body_content %}
Ctrl the Vantage of content
Tell a story, brand content, and share. Pasted is a set tools with a focus on user experience and an aim to make work a little easier for everyone.
Current Number of objects: {{ obj_count }}
Total Size of all objects: {{ obj_total_size }} MiB


We are a caring and innovative group striving for perfection, we won't let you or your brand down.
Our team spans a huge variety of areas with many years of experience in the industry. Our goal is to help provide everyone with quality game servers that help them keep up with some of the biggest competition out there for a convenient and affordable price!
Architect
With over half a decade of experience, I challenge myself to create satisfying builds over a variety of themes.
A Whole New World is one of the oldest whitelisted servers in Minecraft's history! When the owners were unable to keep the server going we stepped in to revive it and give it a new lick of paint! AWNW.net
During the years between 2017 and 2018 we helped provide a stable and constantly growing and thriving community for DarksCorner on his Minecraft server DarksCorner!
Our own server Indigo Games is a revolutionary Minecraft survival server featuring many modded style features using just plugins and resource packs! No mods required! play.indigo.games
Great! We are excited to work with you too! You can contact us through a variety of methods and we pride ourselves on our response time, you are guaranteed a response! Thanks for your interest!


--- layout: post title: It was the Good Technology date: 2004-12-11 00:00:00 category: personal ---
It was the Good Technology 10th Xmas party last night, so after I'd finished in town I hooked up with Ju and we wandered over there. GT Bashes are usually held in interesting locations (e.g. Aldwych tube station, Barcelona) and this years was in Holborn NCP car park.
We had a really great time; the music was ace (Frenchbloke & Son), we caught up with a few old faces (and unfortunately failed to catch up with a couple of others), and Steve did his infectious dancing thing to perfection.
There Was Rolling.


{{item.campaign_title}}
{{item.template_title}}
{{item.campaign_medium}}
{{item.campaign_source}}
{{item.campaign_audience}}
| {{_ 'Sent'}} | {{item.campaign_sent}} | {{compute_percent item.campaign_sent 100}}% |
|---|---|---|
| {{_ 'Unopened'}} | {{item.campaign_unopened}} | {{compute_percent item.campaign_unopened 100}}% |
| {{_ 'Clicked'}} | {{item.campaign_clicked}} | {{compute_percent item.campaign_clicked 100}}% |
| {{_ 'Unsubscribed'}} | {{item.campaign_unsubscribed}} | {{compute_percent item.campaign_unsubscribed 100}}% |
| {{_ 'Bounced'}} | {{item.campaign_bounced}} | {{compute_percent item.campaign_unsubscribed 100}}% |


see also: reference
mongo Shell Command History
You can retrieve previous commands issued in the mongo shell with the up and down arrow keys. Command history is stored in ~/.dbshell file. See .dbshell for more information
Mongo CLI
--help
--nodb #start without connecting to a database. Connect to a db later with Opening New Connections
--shell #used in conjunction with JS files to continue in the mongo shell after running js file
Command helpers
help Show help.
db.help() Show help for database methods.
db.<collection>.help() Show help on collection methods. The <collection> can be the name of an existing collection or a non-existing collection.
show dbs Print a list of all databases on the server.
use <db> Switch current database to <db>. The mongo shell variable db is set to the current database.
show collections Print a list of all collections for current database. SEE ALSO show collections
show users Print a list of users for current database.
show roles Print a list of all roles, both user-defined and built-in, for the current database.
show profile Print the five most recent operations that took 1 millisecond or more. See documentation on the database profiler for more information.
show databases Print a list of all available databases.
load() Execute a JavaScript file. See Write Scripts for the mongo Shell for more information.
Basic Shell JavaScript Operations
The mongo shell provides a JavaScript API for database operations.
In the mongo shell, db is the variable that references the current database. The variable is automatically set to the default database test or is set when you use the use <db> to switch current database.
The following table displays some common JavaScript operations:
db.auth() If running in secure mode, authenticate the user.
coll = db.<collection> Set a specific collection in the current database to a variable coll, as in the following example:-
- You can perform operations on the myCollection using the variable, as in the following example:
-
db.collection.find() Find all documents in the collection and returns a cursor.- See the db.collection.find() and Query Documents for more information and examples.
- See Iterate a Cursor in the mongo Shell for information on cursor handling in the mongo shell.
db.collection.insertOne() Insert a new document into the collection.
db.collection.insertMany() Insert multiple new documents into the collection.
db.collection.updateOne() Update a single existing document in the collection.
db.collection.updateMany() Update multiple existing documents in the collection.
db.collection.save() Insert either a new document or update an existing document in the collection.
db.collection.deleteOne() Delete a single document from the collection.
db.collection.deleteMany() Delete documents from the collection.
db.collection.drop() Drops or removes completely the collection.
db.collection.createIndex() Create a new index on the collection if the index does not exist; otherwise, the operation has no effect.
db.getSiblingDB() Return a reference to another database using this same connection without explicitly switching the current database. This allows for cross database queries.
db.collection.insert({name:'value'})
db.collection.findOne()
db.collection.find().prettyPrint()
db.collection.fine({}, {name:value, name:value})
db.collection.update({},{})
db.collection.remove({})


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News-Highlight
Home
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abc
{% for new, img, des, pubAt,url in context%}
News:
{{new}}
Description:
{{des}}
Read More
{% endfor %} {% for new, img, des, pubAt,url in context%}
News:
{{new}}
Description:
{{des}}
Read More
{% endfor %}


Introduction to Virtual Reality
- Seeing is believing
What we are going to talk about?
- Virtual Reality
- The Matrix
- Concepts
- WebGL
- Implementation using ThreeJS
- Concern and Challenges
- Industry Use Cases
- Conclusion
Virtual Reality
- The definition of ‘virtual’ is near and reality is what we experience as human beings. So the term ‘virtual reality’ basically means ‘near-reality’.

- Sometimes referred to as 'immersive multimedia' because of being a computer-simulated environment that can simulate physical presence in places in the real world or imagined worlds
- Virtual reality can recreate sensory experiences, which include virtual taste, sight, smell, sound, and touch.
Concepts
- The concepts behind virtual reality are based upon theories about a long held human desire to escape the boundaries of the ‘real world’ by embracing cyberspace.
- Once there we can interact with this virtual environment in a more naturalistic manner which will generate new forms of human-machine interaction (HMI).
- Beyond the keyboard and mouse.
- Freedom within the 3D virtual environment.
- Problem solving with virtual reality.
- Opinions differ on what exactly constitutes a true VR experience, but in general it should include:
- Three-dimensional images that appear to be life-sized from the perspective of the user
- The ability to track a user's motions, particularly his head and eye movements, and correspondingly adjust the images on the user's display to reflect the change in perspective
WebGL
- WebGL (Web Graphics Library) is a JavaScript API for rendering interactive 3D computer graphics and 2D graphics within any compatible web browser without the use of plug-ins.
- WebGL is integrated completely into all the web standards of the browser allowing GPU accelerated usage of physics and image processing and effects as part of the web page canvas.
- WebGL elements can be mixed with other HTML elements and composited with other parts of the page or page background.
- WebGL is based on OpenGL ES 2.0 and provides an API for 3D graphics.
- It uses the HTML5 canvas element and is accessed using DOM interfaces.
- Automatic memory management is provided as part of the JavaScript language.
- A non-exhaustive list of libraries that provide many high-level features includes three.js, babylon.js, O3D, OSG.JS, CopperLicht and GLGE.
- There also has been a rapid emergence of game engines for WebGL, including Unreal Engine 4 and Unity 5.
WebGL Example - Google Books
Implementation using ThreeJS
- Include three.js library
- Create WebGL Renderer
- Define camera
- Add light
- Create a scene
- Make a mesh(object)
- Render the scene
Concern and Challenges
- Motion sickness.
- Addiction.
- Disengagement with real world.
- Psychological damage: identity problems.
- Lack of Privacy.
- Behavioural changes, specially rise in aggression.
- Possible impacts on real body: mainly eyesight & headache due to eye strain.
- VR has been heavily crticized for being an inefficient method for navigation and non-geographical information.
- Repetitive Strain Injury(RSI) can also result from prolonged use of VR headsets and gloves.
- Generally the cost involved in creation of a VR system is too high.
- Programmers are still grappling with how to interact with virtual environment.
Conclusion
- Though the disadvantages of Virtual reality can disturb the human's perception ability, it's advantages in different fields makes it user friendly.
- The sole objective of virtual reality is to give the user an environment as realistic as possible and a trilling sensory experience.
- The technology of virtual reality is advancing rapidly and it won't be long before it becomes a most exciting source of entertainment of our homes.
Questions?
That's all, folks!
Thank You
/


geoplot.
cartogram
(df, projection=None, scale=None, limits=(0.2, 1), scale_func=None, trace=True, trace_kwargs=None, hue=None, categorical=False, scheme=None, k=5, cmap='viridis', vmin=None, vmax=None, legend=False, legend_values=None, legend_labels=None, legend_kwargs=None, legend_var='scale', extent=None, figsize=(8, 6), ax=None, **kwargs)¶Self-scaling area plot.
| Parameters: |
|
|---|---|
| Returns: | The plot axis |
| Return type: |
|
Examples
A cartogram is a plot type which ingests a series of enclosed Polygon
or MultiPolygon
entities and spits
out a view of these shapes in which area is distorted according to the size of some parameter of interest.
A basic cartogram specifies data, a projection, and a scale
parameter.
import geoplot as gplt
import geoplot.crs as gcrs
gplt.cartogram(boroughs, scale='Population Density', projection=gcrs.AlbersEqualArea())
The gray outline can be turned off by specifying trace
, and a legend can be added by specifying legend
.
gplt.cartogram(boroughs, scale='Population Density', projection=gcrs.AlbersEqualArea(),
trace=False, legend=True)
Keyword arguments can be passed to the legend using the legend_kwargs
argument. These arguments will be
passed to the underlying matplotlib.legend.Legend
instance (ref). The loc
and bbox_to_anchor
parameters are particularly useful for positioning the legend. Other additional arguments will be passed to the
underlying matplotlib
scatter plot.
gplt.cartogram(boroughs, scale='Population Density', projection=gcrs.AlbersEqualArea(),
trace=False, legend=True, legend_kwargs={'loc': 'upper left'})
Additional arguments to cartogram
will be interpreted as keyword arguments for the scaled polygons,
using matplotlib Polygon patch rules.
gplt.cartogram(boroughs, scale='Population Density', projection=gcrs.AlbersEqualArea(),
edgecolor='darkgreen')
Manipulate the outlines use the trace_kwargs
argument, which accepts the same matplotlib Polygon patch parameters.
gplt.cartogram(boroughs, scale='Population Density', projection=gcrs.AlbersEqualArea(),
trace_kwargs={'edgecolor': 'lightgreen'})
Adjust the level of scaling to apply using the limits
parameter.
gplt.cartogram(boroughs, scale='Population Density', projection=gcrs.AlbersEqualArea(),
limits=(0.5, 1))
The default scaling function is linear: an observations at the midpoint of two others will be exactly midway
between them in size. To specify an alternative scaling function, use the scale_func
parameter. This should
be a factory function of two variables which, when given the maximum and minimum of the dataset,
returns a scaling function which will be applied to the rest of the data. A demo is available in
the example gallery.
def trivial_scale(minval, maxval): return lambda v: 2
gplt.cartogram(boroughs, scale='Population Density', projection=gcrs.AlbersEqualArea(),
limits=(0.5, 1), scale_func=trivial_scale)
cartogram
also provides the same hue
visual variable parameters provided by e.g. pointplot
. For more
information on hue
-related arguments, see the related sections in the pointplot
documentation.
gplt.cartogram(boroughs, scale='Population Density', projection=gcrs.AlbersEqualArea(),
hue='Population Density', k=None, cmap='Blues')


--- layout: home title: The AOT Group author_profile: false header: image: https://agents.vivaholidays.com.au/sites/default/files/2020-07/Longitude_Aerial_17.jpg sidebar: nav: "brandloginsdocs" ---
The AOT Group provides a full range of travel services in the Inbound, Corporate/Government and Leisure sectors throughout Australia, New Zealand and the South Pacific.
The AOT Group is a business of Helloworld Travel Limited.
Via our retail travel agency customers in Australia and New Zealand, our wholesale partners around the world, the Australian Government and direct to the public, the AOT Group sells accommodation and travel related services to over 750,000 passengers per annum.
Information about The AOT Group


Manchu Vishnu's grey character in 'Mosagallu' - Telugu News - IndiaGlitz.com
Manchu Vishnu plays a grey character in 'Mosagallu', a Telugu-English crime thriller running against the backdrop of an IT scam. The film's title and first look are out.
"Vishnu has got an author-backed role in this intense thriller," a source says. This will hopefully help the actor make a bounceback in movies. "Am I good or Am I Bad? You be the judge," says Vishnu, referring to his character.
This one also stars Kajal Aggarwal, Navdeep, Naveen Chandra, and Suneil Shetty.
Directed by Jeffrey Gee Chin, the film is scheduled to hit the screens in April or May 2020.
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Did IT sleuths raid Nagarjuna's properties? Know the truth
Senior actor who asked anchor to come to resort
'Sarileru Neekevvaru' Teaser: Beraalu levu, only mass moments!
New official release dates of Mahesh Babu, Allu Arjun's movies
Rajamouli promotes a comedy entertainer
That hero spoiled Anjali: Noted Tamil producer
Vijay Deverakonda not to poke nose into 'Fighter'
Vaani's hot pic leads to police complaint for 'hurting sentiments'
Priyanka, Salman lead the pack among most-searched celebs
'George Reddy' Review Live Updates
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Headlines
Male child won't be punished for marrying 18+ female
One dead as car falls off new flyover in Hyderabad
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Congress, Shiv Sena MLAs to be put under 'protection'
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Rs 2,000 & Rs 500 notes rain on Kolkata street


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Wojciech Barczyński
- Lead Software Engineer
- Golang Warsaw Organizer
- Hobby:
Kubernetes/CloudNative evangelist;
teacher/trainer
SMACC.io = Hypatos.ai
github.com/wojciech12/talk_serverless_in_golang
Next talk: kubeless?
Thank you. Questions?
We are hiring.


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Looking in the registry these are the default values of UAC
[HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\Policies\System]
"ConsentPromptBehaviorAdmin"=dword:00000005
"ConsentPromptBehaviorUser"=dword:00000003
"EnableInstallerDetection"=dword:00000001
"EnableLUA"=dword:00000001
"EnableSecureUIAPaths"=dword:00000001
"EnableUIADesktopToggle"=dword:00000000
"EnableVirtualization"=dword:00000001
"FilterAdministratorToken"=dword:00000000
"PromptOnSecureDesktop"=dword:00000001
"ValidateAdminCodeSignatures"=dword:00000000
When the slider is moved upto “Always notify me” it changes this value
"ConsentPromptBehaviorAdmin"=dword:00000002
When the slider is moved down to “Notify me only when apps try to make changes to my computer (do not dim desktop settings)” it changes this value
"PromptOnSecureDesktop"=dword:00000000
And when the slider is moved to “Never notify” the values changed are
"ConsentPromptBehaviorAdmin"=dword:00000000
"EnableLUA"=dword:00000000
"PromptOnSecureDesktop"=dword:00000000
Take note that EnableLUA has been disabled completely. This is an extremely dangerous value to be in and should never be disabled so its strongly recommend to set this settings to be enabled in group policies so it always gets applied if settings are reset/changed by users or by previously removed malware.
Once disabled not only a malicious process could be able to go straight to high integrity without any bypass but also Internet Explorer would run in medium integrity. UAC gives us the Protected Mode (sandbox) in Internet Explorer providing added security. Internet Explorer normally runs in low integrity child process so if compromised by some IE exploit the damage is minimized as in low integrity there are only a handful of locations it can be written to on the system.
These changes mentioned above have been seen on Windows 7. On Windows 8/8.1 EnableLUA does not change to disabled. So when the slider is moved to "Never" notify the values changed are only
"ConsentPromptBehaviorAdmin"=dword:00000000
"PromptOnSecureDesktop"=dword:00000000
Since value “EnableLUA”=dword:00000001 does not change, UAC is not completely disabled and Internet Explorer would still run in low integrity.
If however a user logged onto a machine using the local admin account (administrator or whatever renamed on your corporate build) UAC settings does not apply as all processes run in high integrity. This applies to Windows 7/8 and 8.1 so always make sure users DO NOT logon using local admin account, if local admin rights are required better add their domain account to the local administrators group.
If for whatever reason logging on using the local admin account is a necessity then best set this UAC policy to enabled.
User Account Control: Admin Approval Mode for the built-in Administrator account
“FilterAdministratorToken”=dword:00000001


| Name: MR. JAGAN | Reg No: 2-11SMHC17 |
|---|---|
| Age / Sex: 38 /M | Contact No:9845587402 |
Marital Status: ML – 7 YRS. KIDS NOT YET |
Date:3/11/17 |
Occupation: OWN CONTRACT. STUDIED UPTO PUC MAN POWER SUPPLY FOM AN YEAR PRIOR 12 YRS MARKETING |
Dr. PJFP |
Address: NATIVE OF KOLAR AND IN BLORE 20 YEARS. |
DIAGNOSIS- |
LEFT SIDE TESTICLE IS SAGGING SINCE 1 AND HALF YEAR – 2 YEARS FEELS INCREASING. SOMETIMES PAINS <TOUCH BUT WEARING UNDERWEAR IS OK.
WRINKILLING.
PASSING URINE FULLY DOESN’T COME OUT.
98 % OF URINE COMES OUT THEN DOESN’T COME OUT.
LUMP IN THE TESTICLES WHCH SEEMS GROWING.
LBA SINC 2011-2012. COULDN’T STAND ALSO. TOOK NATUROPATHY MASSAGE AND EXERCISES. MUST DO DAILY. NOW FRM 6 MONTHS DINT DO SO LOT OF PAIN. MUS DO.
FEELS BONY FEELNG IN THE COCCYX REGION. PAINS IF SITS FOR LONG TIME.
HURTING ON BONE THT TYPE OF PAIN. REDUCES BY ITSELF. RIDING 2 WHEELER.

BREATHLESSNESS< DAMP ROADS, OLD CLOTHES BED. TAKES ASTHALIN TAB AND RESOLVES SINCE CHILDHOOD.
PAST H/O:
1991 – TOOK INJ FRO TYPHOID
2011- FOOD POISONING.
FAMILY H/O:
MOTHER BREAST CA AT THE AGE OF 69 – 2012.
CANT TAKE IF OTHERS ARE WRONG. WILL GO TO POLICE STATION ALSO
WILL DO CLEANING BY HIMSLEF.
SAYS HE DOES IT BEST
WILL NOT GO TO PARENTS OR IN LAWS HOUSE SAYING VALUE WILL GO DOWN. SO CANT TAKE HIS HARDWORK CREDIT TO OTHERS. SO QUIT 8 -10 JOBS. IF ANYONE DOES OT ALSO HE WILL NOT ACCEPT. MUS DO WITHIN TIME
WANTS THINGS NEAT.
LIKES COLD WEATHER BECAUSE SWEATS A LOT.
SPEND A LOT AND REGRETS AFTER SPENDING.
NOT FOR LUXURY NO BRAND.
SLEEP NORMAL. DROOLING SALIVA. MUST BRUSH N THEN ONLY. WILL NOT SWALLOW ALIVA.
SLEEP REFRESHED.
WEAK IN STUDIES AND CALCULATION. DNT HAVE INTEREST. IF SEES ANYTHGN WILL GRASP.
OCASSONAL BEER
SMOKING FR ALMOST 15-18 YEARS. WIFE TOLD SO QUIT. 1-2 YEARS BACK.
STRONG WILL POWER.
FEELS SATISFIED IF DOES IT BY HIMSELF.  OTHERS WILL NOT TRUST. FEELS MORE CAUTIOUS N DICTATES ALSO DO LIKE THIS AND THT.
TASTED ALCOHOL BT DIDN FEEL LIKE IT.
 NO PAIN.
MENTALLY WANTS BUT PHYSICALLY UNABLE TO PERFORM.
ERECTION NORMAL.
NEVER HAD EXTRAM/PREMARI.
FEARS : HEIGHTS. SOMEONE MAY COME AND PUSH ME OFF. BODY BECOMES LIGHT. FEELS FALLING DOWN IF NO SUPPORT. IF THE WALL IS BELOW ABDOMEN PORTION,
SWEAT WHOLE BODY
NO DREAMS.
TRUSTS GOD.
LIKES PETS- 12 DOGS.
OUTSIDE THE HOUSE.
EVEN IF HE STARVES H WILL FEED THEM. THEY R VERY SENSITIVE MORE THAN HUMANS.
GOOD RELATIONSHIP WITH PARENTS AND WIFE.
LOVE MARRIAGE . KNEW HIS WIFE FOR 2 YEARS. NO ISSUES WITH MARRIAGE.
BRAHMIN CULTURE. ONLY IF OTHERS DO WRONG THEN NLY WILL B GOOD.
READS UPTO EXTERNAL AFFAIR SBT NOTHING DEEP.
IF ANYONE IS SUFFERING WILL FEEL EMOTIONAL. IF ALONE WILL HAVE MORE IMPACT.
UNTIL WORK IS DONE WILL NOT DO ANYTHING ELSE. SOMEIMES ONLY COFFEE AND WORK.
DONE THINGS MYSELF. SO OTHERS OPINION DOESN’T MATTER.
 SURE ABOUT IT.
ARGUMENTATIVE.
LIKE SWEETS AND SPICY ALSO. NOT SPECIFIC.
NOT VERY PUNCTUAL.
TOLERATES MILK
SLEEPS MORE ON THE RIGHT SIDE.
HAPPIEST MOMENT:
SADDEST MOMENT: MOTHER PASSED AWAY.
CRIED THEN
PET DOG PASSED AWAY IN ACCIDENT 2006 DIN HAVE FOOD. 14-15 YEARS.
FOR STATUS SAKE USES TECHNOLOGY OTHERWISE DOESN’T PREFER.
RX:
LYCO 1M – 3 DOSES – 1 DOSE B/BRUSH
CARCINOSIN 1M – 2 DOSES – WEEKLY B/FOOD. MNG WATER.
LACHESIS 200 – DISC 4-0-4 .
SABAL SERRULATA Q+ BERB VULG – 7-7-7-7 DROPS A/FOOD WATER.
Pentaphos – 2-2-2-2.