1.1. Framework¶
This section presents a framework that works as an abstraction providing generic functionalities and can be selectively changed by additional user-written codes with user-provided input data, thus providing a region-specific building information harvesting tool. The framework provides a standard way to create realistic building inventory databases and it is a universal, reusable environment that provides particular functionalities facilitating regional-scale building information modeling.
As shown in Fig. 1.1.1, the framework consists of two steps: data fusion and data enhancement.
Due to the complexity and the size of source data and the cost to collect it, building information at the regional-scale is usually not able to be inferred from a single resource but multiple resources, such as images, point clouds, property tax records, crowd sourcing map, etc. And these data usually belong to different owners and stored in different formats. The framework combines these sources using data fusion (or data integration), which is the process of integrating multiple building information data to produce more consistent, accurate, and useful information than that provided by any individual data source. The expectation is that fused building information data is more informative and synthetic than the original data.
The product of data fusion is an initial building inventory, in which a significant amount of building information is missing because of data scarcity. For example, crowd sourcing maps have issues with completeness, especially for rural regions. They are more complete in densely urbanized areas and targeted areas of humanitarian mapping intervention. Similarly, a significant amount of property tax assessment records are missing from administrative databases. The incompleteness issue is common for almost all data sources. In this framework, the missing values will be filled by modellings performed based on the incomplete initial database.
Extracting building information from images¶
An initial building inventory, containing basic indexing information such as addresses or coordinates of individual buildings, and other basic descriptions such as year built and structure type, has been created in the previous section. Based on the indexing information, satellite or street view images of each building can be retrieved using Google Maps API. Then, the deep learning technique ConvNet is utilized to extract building features (that don’t exist in the initial database) from these images. ConvNet is a class of deep neural networks inspired by biological processes in that the connectivity pattern between neurons resembles the organization of the animal visual cortex [HW68] and is most commonly applied to analyzing images. Individual cortical neurons respond to stimuli only in a restricted region of the visual field known as the receptive field. The receptive fields of different neurons partially overlap such that they cover the entire visual field.
ConvNet is a supervised learning algorithm, which means the images need to be labeled for training. Therefore the most important part is to build a labeled dataset. OSM is a platform hosting real world infrastructure information labeled by human. For a typical building, the information might be found in OSM includes: height, number of stories, structure type, exterior material, footprint shape, usage, etc. These information are the valuable source for describing the built environment. However, only a limit number of buildings are labeled in OSM. In this study, the investigators propose to harvest these labels and associate them with images to build a database for deep learning. The ConvNets trained on these database are used to predict building properties when given any images containing unseen and unlabeled buildings. This way, as long as the satellite/street view images of a city can be obtained, a database of building information can be created. The pipeline to extract a specific building property from images is listed as following:
Identify a visually comprehensible building property (e.g., exterior construction material) that is intended to be extracted.
Retrieve satellite/street view images of individual buildings from Google Map API
Label the retrieved images using tags (e.g., exterior construction material type) found in OSM
Train a ConvNet on the labeled images to classify between types
Apply the trained ConvNet to unlabeled satellite / street view images of buildings in the city of interest
Repeat the above five steps for other building properties, such as number of stories, structural type, etc., as long as they can be visually identified from images. The ConvNet-identified building information is then merged into the initial database resulting in a more detailed inventory.
It should be noted that, due to reasons like heavy occlusions in images or bad viewpoints, predictions from ConvNet are not always with acceptable confidence. To tackle this issue, in Data enhancement, a machine learning based approach will be employed to enhance the database.
Data fusion¶
In order to combine building information obtained form different sources, a data fusion process is designed, as shown in Fig. 1.1.2. There are two starting points of the data flow pipeline: one is the address list and the other one is the building footprints.
The address list is used as the index for querying the supporting data sources (e.g., OSM, tax records, other user provided data, etc.). Once raw data is fetched from these sources, it will be filtered and cleaned to remove duplicated properties and then merged while missing values represented by place holders.
The building footprint is an important supporting data the framework relies on. The method that is commonly used to get building footprints at a large scale is semantic segmentation on high-resolution satellite maps [BHF+19, LHF+19, ZKJS18]. Since it is out of the focus of this study, instead of performing segmentation in the proposed framework on the fly, the framework retrieves footprints from a dataset released by [Mic]. This dataset contains footprints for almost all buildings in the United States extracted from high-resolution satellite maps. For regions outside of the United States, footprints can be inferred from satellite images using semantic segmentation methods in aforementioned references. Each geotagged address has a unique coordinate, therefore can be merged with corresponding building footprints.
Using address as the index, the aforementioned filtered and cleaned basic building information retrieved from multiple data sources can now be merged into the main stream of the data flow pipeline. For buildings with missing information, satellite and street view images of each building are then retrieved and fed into pretrained ConvNets, and predictions on the building features such as number of stories, roof types, etc., can be obtained. Merging the predicted values into the data stream results in the initial building database.
Data enhancement¶
Note that, after the fusion, the initial building database is still incomplete. Some of the reasons are: firstly no data source is perfect and there are usually a considerable amount of missing items in them; secondly some missing values, for example the year of construction of an individual building, are either visually incomprehensible to a ConvNet, or for some visually comprehensible features, for example the number of stories, if the building is occluded by other objects, usually a tree or a car, in the image, which happens quite often, the feature can not be predicted accurately by ConvNets. These reasons leave gaps in the initial building database. This section describes a machine learning - based data enhancement method to fill the gaps in the data.
Rather than merely a random assortment of objects in space, landscapes, natural resources, the human built environment, and other objects on Earth have orders, which can be described using a spatial patterns - a perceptual structure, placement, or arrangement of objects and the space in between those objects. Patterns may be recognized because of their distance, maybe in a line or by a clustering of points, and other arrangement types.
Such kind of spatial patterns, i.e., the arrangement of individual buildings in space and the geographic relationships among them, exist in the distribution of buildings, too. Buildings, when built, usually have a relationship between each other, i.e., one building is located at a specific location is usually because of another. They can be clustered or dispersed based on their attributes, such as building type, value, construction material, etc., which are usually the manifestation of the demographic characteristics of neighborhoods, such as household income or race. For example, as the city shown in the map Fig. 1.1.3, there are areas denser with buildings than others and clusters of certain types of building are easy to be found in certain regions.
The capability of evaluating spatial patterns is a prerequisite to understanding the complicated spatial processes underlying the distribution of a phenomenon.
In spatial statistics, the semivariogram is a function describing the degree of spatial dependence of a spatial random field or stochastic process. As such, statistics of spatial semivariogram provide a useful indicator of spatial patterns. Semivariogram is essentially a meassure of the degree of dissimilarity between observations as a function of distance. It equals to half the variance of two random variables separated by a vector distance \(\boldsymbol{h}\) [Goo97, Van10, WC18, WCSJ17].
where \(Z(\boldsymbol{\mu})\) is the observation at a spatial location \(\mu\); \(Z(\boldsymbol{\mu}+\boldsymbol{h})\) is the observation at a spatial location \(\boldsymbol{\mu}+\boldsymbol{h}\).
It is expected that buildings far away from each other will are more different than buildings that are close to each other. Because based on the first rule of geography that things close together are more similar than things far apart, semivariogram is generally low when two locations are close to each other (i.e. observations at each point are likely to be similar to each other. Typically, semivariogram increases as the distance between the locations grows until at some point the locations are considered independent of each other and semi-variance no longer increases. In the case of buildings, semivariograms will give measures of how much two buildings will vary in attributes (such as height, number of stories, etc.) regarding to the distance between those samples.
Semivariogram function is employed to explore the spatial patterns of different building properties within a selected region. The results show that buildings were indeed built following certain spatial patterns. As a demonstration, the spatial semivariograms of two building properties, number of stories and year of construction, are plotted in Fig. 1.1.4 and Fig. 1.1.5. The horizontal axis represents the distance between a pair of buildings, while the vertical axis represents the dis-similarity of these buildings. The semivariogram figures show that with the increase of the distance between any two buildings, the dis-similarity between them, regrading to number of stories and the year of construction for an example, increased and then fluctuated. Apparently the incremental relationship between the distance and dis-similarity is neither linear nor following any obvious rule. Another note that deserves to be taken here is the curves revealed in Fig. 1.1.4 and Fig. 1.1.5 are city- or region-specific, i.e., the semivariogram curve may reflect the truth of the region being investigated, and may not be exactly correct or directly applicable for describing another region. In other words, the spatial dependence of building features are regional-specific and the semivariogram curves vary regionally.
Since the semivariograms (Fig. 1.1.4 and Fig. 1.1.5 ) clearly show there is a spatial pattern of the distribution of a certain building property, there must be a function for mapping neighbor information \(\boldsymbol{Z}_{p}\) into \(Z_{n}\). This function can be constructed implicitly using a neural network.
Imagine a neighborhood consisting of three buildings, Fig. 1.1.6. Pretrained ConvNets can easily extract attributes of building at two ends, such as number of stories, occupancy, structure type, etc. However, for the building in the middle, which is heavily occluded by a tree in this case, no information can be extracted from the image with a satisfying confidence. However, it is possible to predict the features of the building in the middle based on the information of its neighbors, because Fig. 1.1.4 and Fig. 1.1.5 indicates that the attributes of buildings within a community are correlated with each other. The correlations can be learned by neural networks using SURF.
As mentioned in the previous sections, there is a significant portion of building information still missing from the initial database or can not be extracted from images. Using SURF, the missing values can be predicted based on known values of neighboring buildings, hence the gaps in the initial database are filled and the regional building information database is enhanced. Details about how to do this can be found in the documentation of SURF.
- BHF+19
Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, and Andreas Dengel. Multi-task learning for segmentation of building footprints with deep neural networks. 2019 IEEE International Conference on Image Processing (ICIP), pages 1480–1484, 2019.
- Goo97
Pierre Goovaerts. Geostatistics for natural resources evaluation. Oxford University Press on Demand, 1997.
- HZRS16
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition, 770–778. 2016.
- HW68
David H Hubel and Torsten N Wiesel. Receptive fields and functional architecture of monkey striate cortex. The Journal of physiology, 195(1):215–243, 1968.
- LHF+19
Weijia Li, Conghui He, Jiarui Fang, Juepeng Zheng, Haohuan Fu, and Le Yu. Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source gis data. Remote Sensing, 11(4):403, 2019.
- Mic
Microsoft. US Building Footprints. URL: https://github.com/microsoft/USBuildingFootprints.
- SVI+16
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna. Rethinking the inception architecture for computer vision. Proceedings of the IEEE conference on computer vision and pattern recognition, pages 2818–2826, 2016.
- Van10
Erik Vanmarcke. Random fields: analysis and synthesis. World Scientific, 2010.
- WC18
C Wang and Q Chen. A hybrid geotechnical and geological data-based framework for multiscale regional liquefaction hazard mapping. Géotechnique, 68(7):614–625, 2018.
- Wan20
Chaofeng Wang. Occupancy test. December 2020. URL: https://doi.org/10.5281/zenodo.4386991, doi:10.5281/zenodo.4386991.
- WCSJ17
Chaofeng Wang, Qiushi Chen, Mengfen Shen, and C Hsein Juang. On the spatial variability of cpt-based geotechnical parameters for regional liquefaction evaluation. Soil Dynamics and Earthquake Engineering, 95:153–166, 2017.
- Wan19
Charles Wang. Random satellite images of buildings. October 2019. URL: https://doi.org/10.5281/zenodo.3521067, doi:10.5281/zenodo.3521067.
- WYM+19
Charles Wang, Qian Yu, Frank McKenna, Barbaros Cetiner, Stella X. Yu, Ertugrul Taciroglu, and Kincho H. Law. Nheri-simcenter/brails: v1.0.1. October 2019. URL: https://doi.org/10.5281/zenodo.3483208, doi:10.5281/zenodo.3483208.
- ZKJS18
Kang Zhao, Jungwon Kang, Jaewook Jung, and Gunho Sohn. Building extraction from satellite images using mask r-cnn with building boundary regularization. CVPR Workshops, pages 247–251, 2018.


Example 1
A conversation is taking place between a group of people at a virtual meeting and a deaf user is tracking this discussion - there may be colour coding to distinguish the speakers and the caption colours may be related.
The deaf user may later wish to explore the environment or look at some thing - and therefore move focus from the speakers but dock the captions, or keep them in some bespoke view. Therefore the speaker source and ‘their’ captions relationship can be maintained.
This relationship maybe as simple as a text saying ‘Speaker name: Lorraine’, ‘Speaker name: Ruairi’ or similar. Or could be provided in markup. Providing the association of ‘source/caption’ in markup would allow greater movement, and further potential transformations.


WebUI. CSS Framework
Built with SASS
Form controls (These controls have no rounding applied - default, and are responsive meaning they will occupy the full width of a column).
Austria
Bulgaria
Canada
Denmark
England
Finland
Germany
Please select an option
Textbox 1
Textbox 2
Textbox 3
Button 1
Example Text
Checkbox 1
Checkbox 2
Checkbox 3
Checkbox 4
JavaScript utility functions.
Move selected options from list 1 to list 2
Move selected options from list 2 to list 1
Clear selected items from list 2
Highlight list 1
Reset lists
Normalise lists
Disable both lists if textbox 1 contains 0
Get list 2 option values
Get list 2 option texts
Get page selected text specifying textbox 1 as the target.
Is checkbox 1 checked and checkbox 2 unckecked
Does textbox 1 conform to an email address allowing for empty. Textbox 2 must contain a value.
Is textbox 1 a numeric value in range 0.5 - 99.9 disallowing empty?
Is textbox 1 an integer value in range -20 - +20 disallowing empty? Checkbox 1 must not be checked.
Is textbox 1 an integer between 1 and 31 allowing empty? 'England' must be selected in list 1
Is textbox 1 a valid date DD/MM/YYYY
Is textbox 1 a retrospective date DD/MM/YYYY, and allowing empty.
Is textbox 1 a future date DD/MM/YYYY
Is textbox 2 > textbox 1 using format DD/MM/YYYY HH:mm:ss
Disable textbox 1 and set value with disabled text, if textbox 2 contains 0
Enable textbox 1 and set value with enabled text, if textbox 2 contains 0
Disable button 1 and set with value
Enable button 1 and set with value
Add option to dropdown list
Initialise the dropdown
Initialise the dropdown with css classes
Initialise the dropdown with css classes, and with available and unavailable text
Set the dropdown selected index to 2


Traffic Light Control
Direction
North-South
: {{NS | uppercase}}
East-West
: {{EW | uppercase}}
North
West
East
South


| Pre-defined Attributes | |
|---|---|
| Attribute | Value |
| Test Name | uvm_test_top |
| File Name | dma_cov |
| Date | 07 May 2019 20:18.46 |
| User ID | user |
| CPU Time | 00:00:00.39 |
| SIM Time | 2415000.000 ps |
| Test Status | WARNING |
| Seed | 0 |
| VSIM Args | +UVM_TESTNAME=apb_directed_reg_write_read_test -coverage -do 'log tb_top/* -r; coverage save -onexit -directive -codeAll dma_cov; run -all' -c -novopt tb_top |
| Test Args | (None) |
| Comment | (None) |
| Compulsory | No |
| Host Name | DESKTOP-JH26J5L |
| Host O/S | win64 |
| Log File | transcript |
| Memory Usage | 0 |
| WLF File | vsim.wlf |
| User-defined Attributes | |
| Attribute | Value |
| RUNCWD | E:/vlsi/git_repo/dma_axi |
| TSTAT_REASON | (vsim-3881) ./verif/agents/apb_mstr_agent//apb_coverage_monitor.sv(31): Sign-and-Width conversion applied in bin 'low_val_data' for Coverpoint 'DATA'. Value '32'hffffffff' changed to '0 (minimum)' value. |
| TSTAT_SIMTIME | 0.000000 |


Hello {{toName}}, A fellow Alumni Center Staff member, {{fromName}}, has begun to handle a request. View it now at AlumniRequestGW. - The Alumni Request Portal Team


Performing a 'revert' is the process of creating a new commit that reverses an earlier commit.
Creates a new commit that effectively reverses the changes of
[SHA-1] a (40-byte hexadecimal string) that idenfies a commit. You can also use a leading substring that is unique within the repository. E.g. dae86e1950b1277e545cee180551750029cfe735 and dae86e both name the same commit object if there is no other object in your repository whose object name starts with dae86e.
--no-edit do not start the commit message editor
[GIT_REVISION] revision parameter a way to speficy a commit object


Module cmdbuild.relation
Relation:getRelationList It returns the complete list of relations of the card specified for the specified domain.
Functions
| methods.history (domain_name, class1name, card1id, class2name, card2id, status, begin_date, end_date) | Relation:getRelationHistory It returns the relation history of a card starting from a "Relation" object in which only "Class1Name" and "Card1Id" were defined. |
| Relation:create (domain_name, class1name, card1Id, class2name, card2Id, status, begin_date, end_date) | Relation:createRelation It creates in the database a new relation between the pair of cards specified in the "Relation" object. |
| Relation:delete (domain_name, class1name, card1id, class2name, card2id, status, begin_date, end_date) | Relation:deleteRelation It deletes the existing relation between the pair of cards specified in the "Relation" object. |
Functions
- methods.history (domain_name, class1name, card1id, class2name, card2id, status, begin_date, end_date)
-
Relation:getRelationHistory
It returns the relation history of a card starting from a "Relation" object
in which only "Class1Name" and "Card1Id" were defined.
Parameters:
- domain_name - Domain used for the relation. (string)
- class1name - ClassName of the first card taking part in the relation (string)
- card1id - Identifier of the first card which takes part in the relation (number)
- class2name - ClassName of the second card which takes part in the relation. (string)
- card2id - Identifier of the second card which takes part in the relation. (number)
- status - Relation status ('A' = active, 'N' = removed) (string)
- begin_date - Date when the relation was created (format YYYY-MM-DDThh:mm:ssZ) (date)
- end_date - Date when the relation was created (format YYYY-MM-DDThh:mm:ssZ) (date)
Returns:
-
table
- Relation:create (domain_name, class1name, card1Id, class2name, card2Id, status, begin_date, end_date)
-
Relation:createRelation
It creates in the database a new relation between the pair of cards specified in the "Relation" object.
It returns “true” if the operation went through.
Parameters:
- domain_name - Domain used for the relation. (string)
- class1name - ClassName of the first card taking part in the relation (string)
- card1Id - Identifier of the first card which takes part in the relation (number)
- class2name - ClassName of the second card which takes part in the relation. (string)
- card2Id - Identifier of the second card which takes part in the relation. (number)
- status - Relation status ('A' = active, 'N' = removed) (string)
- begin_date - Date when the relation was created (format YYYY-MM-DDThh:mm:ssZ) (date)
- end_date - Date when the relation was created (format YYYY-MM-DDThh:mm:ssZ) (date)
Returns:
-
boolean
- Relation:delete (domain_name, class1name, card1id, class2name, card2id, status, begin_date, end_date)
-
Relation:deleteRelation
It deletes the existing relation between the pair of cards specified in the "Relation" object.
It returns “true” if the operation went through.
Parameters:
- domain_name - Domain used for the relation. (string)
- class1name - ClassName of the first card taking part in the relation (string)
- card1id - Identifier of the first card which takes part in the relation (number)
- class2name - ClassName of the second card which takes part in the relation. (string)
- card2id - Identifier of the second card which takes part in the relation. (number)
- status - Relation status ('A' = active, 'N' = removed) (string)
- begin_date - Date when the relation was created (format YYYY-MM-DDThh:mm:ssZ) (date)
- end_date - Date when the relation was created (format YYYY-MM-DDThh:mm:ssZ) (date)
Returns:
-
boolean


execline
Software
skarnet.org
The elglob program
elglob performs globbing on a pattern, then executes
another program.
Interface
elglob [ -v ] [ -w ] [ -s ] [ -m ] [ -e ] [ -0 ] variable pattern prog...
- elglob performs
globbing
on pattern.
- It then performs
variable substitution on
prog..., using variable as key and the result of the
globbing as value. The value is always split: it contains as many words
as they are matches for the globbing pattern.
- elglob then execs into the modified prog....
Options
- -v : verbose. If there is a problem while globbing, print
a warning message on stderr.
- -w : strict. If there is a problem while globbing, die
immediately. This is harsh - you probably don't need that option.
- -s : sort the matches. By default, the results are
left unsorted.
- -m : mark. Append a slash to each word that corresponds
to a directory.
- -e : no escape. Treat backslashes in pattern
literally; do not allow quoting of metacharacters in pattern via
backslashes. Warning: the
execlineb launcher
uses the backslash as their own escape character - if you want a
backslash to be passed to elglob, do not forget to double
it.
- -0 : null globbing. By default, if pattern
matches nothing, it will be substituted as is (verbatim in one word). With
this option, if pattern matches nothing, it will be properly
substituted as zero word.


Schedule
10:00am
Welcome Reception, 1st Floor Atrium
11:00am
Graphic Designers Panel, 2nd Floor East Wing
Animation Workshop, 4th Floor Atrium
12:00am
Future of Tech Panel, 3rd Floor West Wing
1:00pm
User Experience Workshop, 4th Floor Atrium
Book Talk with Richard Saul Wurman
2:00pm
Closing Reception, 1st Floor Atrium


| Beer Image | Name | Description | Price |
|---|---|---|---|
| Corona Extra 330ml | Corona Extra is a pale lager produced by Cervecería Modelo in Mexico for domestic distribution and export to all other countries besides the United States, and by Constellation Brands in Mexico for export to the United States. | $1.90 | |
| Stella Artois 500ml | Stella Artois is a Belgian pilsner[1] of between 4.8 and 5.2% ABV which was first brewed by Brouwerij Artois (the Artois Brewery) in Leuven, Belgium, in 1926. | $1.50 | |
| Carlsberg 330ml | Carlsberg is the flagship beer brand in Carlsberg Group's portfolio of more than 500 brands. It is a 5% abv pilsner beer with a global distribution to 140 markets. It is also known as Carlsberg Lager, Carlsberg Beer and Carlsberg Pilsner. It was first brewed in 1904, and was created by Carl Jacobsen, son of Carlsberg's founder JC Jacobsen. | $1.60 | |
| Heineken 500ml | Heineken Lager Beer (Dutch: Heineken Pilsener), or simply Heineken (Dutch pronunciation: is a pale lager beer with 5% alcohol by volume produced by the Dutch brewing company Heineken International. Heineken is well known for its signature green bottle and red star. | $1.70 |


MYSQL_INSTALL_DB() MYSQL_INSTALL_DB() NAME mysql_install_db - initialize MySQL data directory SYNOPSIS mysql_install_db [options] DESCRIPTION mysql_install_db initializes the MySQL data directory and creates the system tables that it contains, if they do not exist. mysql_install_db is a shell script and is available only on Unix platforms. (As of MySQL 5.6, mysql_install_db is a Perl script and can be used on any system with Perl installed.) To invoke mysql_install_db, use the following syntax: shell> mysql_install_db [options] Because the MySQL server, mysqld, must access the data directory when it runs later, you should either run mysql_install_db from the same system account that will be used for running mysqld, or run it as root and specify the --user option to indicate the user name that mysqld will run as. It might be necessary to specify other options such as --basedir or --datadir if mysql_install_db does not use the correct locations for the installation directory or data directory. For example: shell> scripts/mysql_install_db --user=mysql \ --basedir=/opt/mysql/mysql \ --datadir=/opt/mysql/mysql/data Note If you have set a custom TMPDIR environment variable when performing the installation, and the specified directory is not accessible, mysql_install_db may fail. If so, unset TMPDIR or set TMPDIR to point to the system temporary directory (usually /tmp). mysql_install_db supports the following options, which can be specified on the command line or in the [mysql_install_db] group of an option file. (Options that are common to mysqld can also be specified in the [mysqld] group.) Other options are passed to mysqld. For information about option files used by MySQL programs, see Section 4.2.6, “Using Option Files”. · --help Display a help message and exit. · --basedir=path The path to the MySQL installation directory. · --builddir=path For use with --srcdir and out-of-source builds. Set this to the location of the directory where the built files reside. · --cross-bootstrap For internal use. This option is used for building system tables on one host intended for another. · --datadir=path The path to the MySQL data directory. · --defaults-extra-file=file_name Read this option file after the global option file but (on Unix) before the user option file. If the file does not exist or is otherwise inaccessible, an error occurs. file_name is interpreted relative to the current directory if given as a relative path name rather than a full path name. · --defaults-file=file_name Use only the given option file. If the file does not exist or is otherwise inaccessible, an error occurs. file_name is interpreted relative to the current directory if given as a relative path name rather than a full path name. · --force Cause mysql_install_db to run even if DNS does not work. Grant table entries normally created using host names will use IP addresses instead. · --ldata=path A synonym for --datadir. · --no-defaults Do not read any option files. If program startup fails due to reading unknown options from an option file, --no-defaults can be used to prevent them from being read. · --rpm For internal use. This option is used during the MySQL installation process for install operations performed using RPM packages. · --skip-name-resolve Use IP addresses rather than host names when creating grant table entries. This option can be useful if your DNS does not work. · --srcdir=path For internal use. This option specifies the directory under which mysql_install_db looks for support files such as the error message file and the file for populating the help tables. · --user=user_name The system (login) user name to use for running mysqld. Files and directories created by mysqld will be owned by this user. You must be the system root user to use this option. By default, mysqld runs using your current login name and files and directories that it creates will be owned by you. · --verbose Verbose mode. Print more information about what the program does. · --windows For internal use. This option is used for creating Windows distributions. COPYRIGHT Copyright © 1997, 2015, Oracle and/or its affiliates. All rights reserved. This documentation is free software; you can redistribute it and/or modify it only under the terms of the GNU General Public License as published by the Free Software Foundation; version 2 of the License. This documentation is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with the program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA or see http://www.gnu.org/licenses/. SEE ALSO For more information, please refer to the MySQL Reference Manual, which may already be installed locally and which is also available online at http://dev.mysql.com/doc/. AUTHOR Oracle Corporation (http://dev.mysql.com/). MYSQL_INSTALL_DB()


Statue of Offering:
You lack even the experience to be be killed by this test! Count your blessings!
(Only a clan member of level 40 or above can take this test.)


Money Play. How should Red play 63?
pips Red=62 White=69
(CorrectAnswer= 0/0, ErrorScore= 0)
It is too easy to play 9/6, 9/3* but that leaves a lot of extended jeopardy.
After 9/3, 6/3* if not hit Red should be able to get home without any future problems. Yes, occasionally he will have two blots hit and lose a gammon but backgammon is a game of risk and reward.
9/6, 9/3* loses 9% more games but only loses 7% more gammons so that play is a blunder.
Correct is 9/3*, 6/3. Even if White had a perfect board it would still be the right play.
After 9/3, 6/3* if not hit Red should be able to get home without any future problems. Yes, occasionally he will have two blots hit and lose a gammon but backgammon is a game of risk and reward.
9/6, 9/3* loses 9% more games but only loses 7% more gammons so that play is a blunder.
Correct is 9/3*, 6/3. Even if White had a perfect board it would still be the right play.
1. Cubeful 2-ply 9/3* 6/3 Eq.: +0.434 0.737 0.043 0.000 - 0.263 0.028 0.000 2. Cubeful 2-ply 9/6 9/3* Eq.: +0.361 (-0.073) 0.714 0.047 0.001 - 0.286 0.004 0.000 3. Cubeful 2-ply 9/3* 4/1 Eq.: +0.294 (-0.141) 0.684 0.038 0.000 - 0.316 0.032 0.000 4. Cubeful 0-ply 9/3* 5/2 Eq.: -0.285 (-0.720) 0.486 0.023 0.000 - 0.514 0.103 0.004


Tutorial¶
This is a tutorial for use of the commands in the Telegram bot.
Bot Father¶
Use BotFather to create a bot https://telegram.me/BotFather
Commands examples¶
/scrape - scrapes and returns xlsx file with scraped data. Name of file is built from date when it was scraped: “(day-month-year).xlsx”:
/scrape
/archive - gives a list of scraped data for the last 31 days (one month):
/archive
/compare - compares two datasets, giving results about changes in the second dataset (new products, altered prices, products gone out of stock) The results are give in xlsx format
/compare 01-01-2018 05-01-2018
/start - welcome message:
/start
/help - brief info about supported commands
/help
/contact - gives info about creator of this hyperintelligent bot:
/contact


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Context
The University of Tasmania Library physical collections are spread over 10 locations. The management
of these locations is distributed over different teams within the University. Emergency management
for the University is the responsibility of Commercial Services Development (CSD). Work, health and
safety, a large component of disaster prevention is managed by the Work Health and Safety Team
within the Human Resources Section of the Chief Operating Officer Division. The Disaster
Management Plan for Library Collections sits in this broader framework.
The day to day management of library spaces is overseen by Student Services Information Centre
(SSIC). Library Services are responsible for the monograph (books, DVDs, journals, etc) collections at
all locations and work with CSD and SSIC to ensure that disaster prevention and management is in
place. These collections sit in buildings, with nominated building wardens, and have their own
hierarchy of emergency response. There are a number of people who could be first on the scene when
a critical incident occurs. CSD is responsible for emergency management and coordinates crisis
management, through the Crisis Management and Recovery Team (CMRT) for the University. The
University’s Audit and Risk Unit, within the Governance Section, is responsible for Business Continuity
Planning.
The Library Collections include Special & Rare Collections located on Level 5 Morris Miller Library,
which houses the Royal Society of Tasmania (TRST) Collection; and smaller rare collections at the Art,
Music and Law Libraries. Rare collections need particular attention and this has been included in the
schedule of preventative measures & preparedness actions (Appendix 1)
The principles of prevention, preparedness, response, recovery, as outlined in the ALIA
documentation (2010), are followed.
This plan is used:
- as a mechanism to schedule and ensure prevention of and preparation for disaster and other
critical incidents.
- to provide guidelines for immediate response to emergencies that threaten collections and
initial recovery steps for anyone who might be the first on scene at a critical incident affecting
Library collections
.
-
provide guidelines for recovery steps, to be used by Library Services staff, post critical incident
recovery time
This plan is owned by Library Services and updated annually by Senior Librarian (Collections) and the
Disaster Management Team (Library Collections) (DMT (LC)).
Circulation: key staff and locations to receive plan
| Who/where |
Why |
|
All locations with Library collections
|
|
|
Security
|
Provision of all operational
security services
|
| Library Services staff |
|
| CSD Facilities Management
Unit
|
Responsible for Emergency and
crisis management
|
| Audit and Risk Unit |
Responsible for Business
Continuity Planning
|
| SSIC staff |
As day to day operational staff
in library locations |
| Building Wardens, where
Library collections are located |
|
| Council, Royal Society of
Tasmanian |
As owners of a significant rare
collection that is housed in the
Morris Miller Library |
Related document:
| Document |
Owned by |
Located: |
| Emergency management
procedures |
CSD, including Security and
Campus Emergency
Coordinators |
http://www.utas.edu.au/commercial-services-development/emergency-management/emergency-procedures |
| Crisis Management at UTAS |
CSD |
http://www.utas.edu.au/commercial-services-development/emergency-management/crisis-management-and-recovery |
| Guidelines for immediate
response and short term
recovery |
Disaster Management
Team (Library Collections)
DMT (LC) |
|
| Business Continuity Plan |
Audit and Risk Unit |
|
| Insurance |
Financial Services |
|
| Deed of Agreement with
TRST |
|
|
Disaster Management Team (Library Collections)
The Disaster Management Team (Library Collections) [DMT (LC)] is responsible for co-ordinating the
prevention, preparedness, response and recovery for disasters and other incidents affecting Library
collections.
DMT (LC) liaises with CSD, SSIC, Building Wardens and other internal and external groups to ensure
the safety of Library Collections. DMT (LC) meets annually with CSD (Facilities Management, including
Security) and the Audit and Risk Unit to discuss priorities for prevention, preparedness, response and
recovery.
DMT (LC) is led by the Senior Librarian (Collections) and includes:
Senior Librarian (Acquisitions and Access), Deputy; Librarian, Special & Rare Collections; Library Officer,
Special & Rare Collections; Librarian, Acquisitions and Access, currently:
| Position |
Current |
contact |
| Senior Librarian (Collections),
Head |
Juliet Beale |
6226 2395 |
| Senior Librarian (Acquisitions
and Access), Deputy |
Debra Wilson |
6226 2207 |
| Librarian, Special & Rare
Collections |
Wendy Rimon |
6226 2789
6226 2222 |
| Library Officer, Special & Rare
Collections |
Heather Excell |
6226 7883
6226 2222 |
| Librarian, Acquisitions and
Access |
Ian Apted |
6226 7412 |
| Member from SSIC |
TBC |
|
Prevention
Risk assessment and preventative measures
WHS provides a framework for risk assessment and preventions. DMT (LC) checks annually that the
following processes have been carried out where Library collections are located. (See Appendix 1):
- WHS inspections – evaluation of risks associated with plumbing, electrical, hazardous
materials, fire hazards and security
-
Building Condition walk through; evaluation of risks associated with rooves, guttering,
windows and walls.
-
Fumigation
-
Annual discussion, and as needed, of vulnerabilities and specific requirements for safekeeping
of Library collections
-
Site Risk and Vulnerability Assessments – lead by the University Security Manager, these
assessments look at site/buildings risk and vulnerabilities from a security aspect, and ensure
all reasonably practicable mitigations are in place
Preparation
DMT (LC) audits the following preparations on an annual basis. (See Appendix 1)
Emergency procedures and contacts
These are maintained by CSD as part of emergency management, and checked for currency and display
as part of WHS inspections.
http://www.utas.edu.au/commercial-services-development/emergency-management
Guidelines for immediate response and short term recovery are communicated and accessible at each
library collection location. (See Appendix 2)
DMT (LC) needs to ensure that Security contact during business hours and after hours for each library
location is correct, and ensures they are aware to contact members of DMT (LC) as required. Updated
contact details are to be provided to the Security Manager when a change in contact occurs.
Emergency supplies and equipment
DMT (LC) ensures materials to remediate disaster are on hand where needed, such as disaster
preparedness kits.
The Library has two sources of emergency supplies and equipment:
- A disaster preparedness kit is housed where rare collections are located: Special & Rare
Collections, Morris Miller,Level 5; Art, Law and Music Libraries.
- All other locations rely on materials and resources provided by CSD; or can be purchased from
commercial suppliers as identified.
- Emergency supplies and equipment requirements ate to be reviewed for efficacy by the DMT
(LC) and CSD on an annual basis.
Floor plans of Library locations
Floor plans of the Library’s physical spaces are available from the Library website
http://www.utas.edu.au/library/libraries/libraries. These show the arrangement of the collections
and identify collection priorities where possible, and locations of disaster preparedness kits.
The inner doors of the Special & Rare Collections area level five Morris Miller Library display shields of
Blue Shield Australia to alert Tasmanian Fire Service (TFS) emergency fire crews heritage collections
are housed within. Details are to be provided to CSD, at least annually, on current status of Blue Shield
locations.
Collection priorities
3 DMT (LC) ensures collection priorities for salvage are identified on floor plans and communicated at
each Library location
Rare and unique collections are the priority for salvage:
- Special & Rare Collections housed on Level 5 of the Morris Miller Library.
- Rare collections at Art, Law and Music libraries
- Uniquely held items in Australian Libraries.
Special & Rare Collections identify priorities within their collections, and in consultation with TRST.
This document is maintained by Special & Rare Collections team.
Disaster recovery training and awareness
Priority is for DMC (LC) to receive training and ensure that this occurs, particularly Special & Rare
Collections staff. DMT (LC) maintains awareness of authoritative sites and resources that can be
accessed, as listed in advisory roles for external providers in recovery phase (p. 11) and as advised
from training.
Communication
DMT (LC) ensure immediate emergency response details & recovery procedures are updated,
communicated and available at Library locations. DMT (LC) to ensure CSD are provided with any
changes to current library practices or emergency contact details.
Response
The first 48 hours are generally regarded as the immediate emergency response period. After the
initial 48 hour period comes the recovery phase.
These provide guidelines for an immediate emergency response, for whoever is first on the scene of
a critical incident affecting Library Collections; and to for Library Services staff moving into the
recovery phase.
The University has a Crisis Management and Recovery Team (CMRT), and will assume overall control
of the University’s response to a crisis, in close communication and collaboration with the Library. A
member of the DMT (LC) may be co-opted onto the CMRT as the crisis unfolds and is managed into
the Recovery phase
Immediate recovery from disaster
CSD and external emergency services (Police, Fire, etc) will assess the area following an incident. The
CMRT may become involved should the extent of the incident warrant their attention. Onsite
personnel and staff nominated to work on response in relation to collections may only enter the
premises once emergency services and CSD have declared the area safe.
If the incident is not endangering to staff and clients, and evacuation is not necessary, where
practicable - take immediate remedial actions to prevent damage
- Seek assistance of staff in immediate areas
- Move material away from affected areas
- Retrieve pre-identified valuable items ie in Rare Collections
- Where available use the Library’s disaster kits (sufficient for small scale incident) to protect
material or
- Source supplies as needed from third parties, as well as material and human support as
required
DMT (LC) reviews emergency response to incidents threatening Library Collections in conjunction with
CSD. These guidelines for immediate response and short term recovery actions are summarised and
circulated to Library collections locations (See Appendix 3). Currently:
Emergency: Immediate response structure
| What do I do ( process) |
Owner |
Comments |
| A critical incident that has potential to, or is
damaging collections, is noticed |
Staff/Security
who notice the
damage |
E.g. water leaks |
| Follow UTAS emergency procedures:
Contact Security
Urgent:
Hobart 6226 7600
Launceston 6226 3336
Burnie 6226 3336
Non urgent
CSD 6226 2791 |
Security Campus
Services (CSD) On
24 hour call |
Security is the first point of
contact for critical incidence
On 24 hour call
Security to isolate source of
causation of damage or
threat.
Security to determine if it is
safe for staff to enter
affected area CSD resources brought in as
required (Heavy duty cleaning
equipment etc) |
If the incident is not endangering to staff and
clients, and evacuation is not necessary,
where practicable -take immediate remedial
actions to prevent damage
- work first to rescue collection
priorities,
- use supplies from disaster kits
- move the material from the affected
area
- seek assistance of staff in the
immediate area
|
Staff/Security
who notice the
damage |
jFloor plans locate collection
priorities and location of
disaster kits.
Access to other emergency
equipment eg fire
extinguishers? |
| CSD (Security and Campus Emergency
Coordinators) will assess risk to collections
and make contact with contact (business
hours and after hours contact for each library
location) |
University
Librarian and
Associate Director
are on 24 hour call |
CSD and (business hours and
after hours contact for each
library location) to determine
appropriate recovery/salvage
site and roll out of equipment
and consumables
commensurate with disaster
level.
(business hours and after
hours contact for each library
location) to determine if DMT
(LC) are required. |
| If applicable Disaster Recovery Procedures
implemented |
Staff onsite
DMT (LC) if
members
available |
Follow procedures for type of
damage, level of damage, type
of media from listed advisory
bodies
External service providers
contacted as required –
external salvage site,
industrial freezer, restoration
equipment providers |
Recovery: Disaster recovery procedures
Immediate and short-term recovery requirements
The Library contact, in co-operation with CSD (or CMRT, depending on the severity of the incident),
should then identify what actions and additional resources will be needed to contain the damage and
begin the salvage process. This includes:
- Conservation experts, library professionals, trades people, specialist recovery businesses
(such as Zircodata, formerly Iron Mountain)
- Equipment and materials
- Off-site secure area for storage of undamaged items
- Insurance considerations
DMT (LC) reviews emergency response to incidents threatening Library Collections in conjunction with
CSD. These guidelines for immediate response and short term recovery actions are summarised and
circulated to Library collections locations (See Appendix 3). Currently:
Recovery phase
DMT (LC) or other Library Services staff will nominate a disaster recovery team.
Depending on the severity of the disaster there are two main responses:
In-house response for localised damage involving lightly damaged material
Allocated staff can commence retrieval, sorting, and salvage of items in designated areas. CSD Space
Management can provide assistance/guidance on this In the case of the in-house salvage /restoration,
authoritative manuals and procedures will be used listed under external contacts for recovery. eg.
https://www.records.nsw.gov.au/recordkeeping/advice/disaster-management/recovery-chcklist
And advice from agencies listed below in external providers list
Outsourced response for widespread damage involving a large volume of
material
Zircodata (Iron Mountain) is the main external provider for UTAS Library. DMT (LC) annually checks
with Zircodata the currency of these services, and contacts. The following
services and equipment are mainly provided by Zircodata and business partners
| Service |
Provider |
Comments |
| Clean-up |
Zircodata |
Assist with the removal of
damaged items |
| Storage |
Zircodata |
If CSD cannot facilitate oncampus
storage arrangements
for drying of large amounts of
damaged material, Zircodata
can investigate, source, and
arrange for commercial
providers to provide a suitable
facility |
| Freezing |
Zircodata partners:
Southern libraries:
Tasports Cold Stores
Northern libraries:
Swire Cold Storage |
Iron Mountain can prepare
items for storage and arrange to
have materials frozen |
| Drying of materials |
Zircodata partners: Steamatic |
Materials preserved by deep
freeze will then be flown to Melbourne to be spun dry by
Steamatic |
| Specialist advice for
damage to rare
collections |
Art & Archival |
Should Art & Archival
recommend standard freezing
and drying of damaged rare
materials, Zircodata should be
engaged to assist with the
recovery process |
| Professional advice
and support |
|
|
|
Evaluation of damaged stock for retention and disposal – including insurance
assessment
Firstly check with the Financial Controller UTAS Financial Services regarding insurance/assessor
arrangements.
http://www.utas.edu.au/finance/insurance/contacts
A value on items destroyed, in most cases, is needed for insurance purposes. The disaster response
team will need to work with Financial Services on this matter.
Once the all clear is given by insurers and assessors, the disaster recovery team may proceed with the
full-scale clean-up, and implement the following procedures:
- Take photographic evidence of the scale of the losses
- Document damage to the property, collections, IT infrastructure and resources, documents,
etc.
Rebuilding lost collections
Lost collections will be re-built in line with the Library’s prevailing Collection Management Principles,
with regard to University priorities, and in consultation with relevant stakeholders
External contacts for the recovery process
Active recovery and restoration
| Organization |
Phone contact |
Website |
Description |
| Zircodata (Iron Mountain) |
0-62499333 0-0438573136 |
http://www.ironmtn.com.au/ http://www.ironmountain.com/Services/Data-Backup-and-Recovery/Offsite-Vaulting/Disaster-Recovery-Support.aspx |
Clients of Iron Mountain are eligible for
assistance in the event of disaster. Role:
active recovery and restoration of all
collections where such a strategy is
deemed necessary by the Library |
| Art & Archival |
0-02-62977670 |
http://www.artandarchival.com.au/ |
Art & Archival offers a disaster response
and recovery service for all paper based
and other materials. Role: 1. Advisory;
2. Active recovery and restoration of
rare collections only; 3. Training. |
| Queen Victoria Museum and Art Gallery |
Dooley |
http://www.qvmag.tas.gov.au/ |
QVMAG has freeze drying facilities that
should be investigated for post disaster
recovery of small amounts of archival
materials Role: active recovery |
| Swire Cold Storage |
(03) 63301606 |
19-21 Legana Park Drive, Legana, TAS 7277 |
Zircodata business partner for northern libraries. Provides freezing |
| Tasports Cold Stores |
1300 366 742 |
GPO Box 202, Hobart, TAS 7001 |
Zircodata business partner for southern libraries. Provides freezing |
| Steamatic |
(03) 95876333 |
23 Jarrah Drive, Melbourne, VIC 3195 |
Zircodata business partner. Provides drying |
| Advisory |
|
|
| Organization |
Phone contact |
Website |
Description |
| Blue Shield Australia |
0-03-83417135 |
http://www.blueshieldaustralia.org.au/ |
The cultural equivalent of the Red Cross,
BSA is a federation of NGSs which
represents professionals active in the
fields of archives, libraries, monuments
and sites, and museums. Role: advisory. |
| DISACT |
|
http://www.cpbr.gov.au/disact/index.html |
Provides assistance in the event of
emergencies affecting public
collections. Role: advisory. |
| ALIA |
0-02-62158222 |
https://www.alia.org.au/ |
ALIA has prepared a number of guides
and templates to assist libraries with
disaster preparedness. Role: advisory. |
| Australian Government Disaster Assist |
|
https://www.disasterassist/ |
The AGDA website provides individuals
and families better access to
information about recovery assistance
following a disaster. Role: Information. |
| Australian Institute
for the
Conservation of
Cultural Material |
|
http://www.aiccm.org.au/ |
The AICCM is the professional
organisation for conservators in
Australia.
Follow UTAS emergency procedures: contact Security
Hobart 6226 7600
Launceston 6226 3336
Burnie 6226 3336
If the incident is not endangering to staff and clients, and evacuation is not
necessary, where practicable:
take immediate remedial actions to prevent damage
work first to rescue collection priorities, as identified on Library floor plans
move the material from the affected area
use supplies from disaster kits where available
seek assistance of staff in the immediate area
Security will assess the specific risk to collections in this incident and contact Library
Services respresentative as needed to progress recovery phase


{% extends "base.html" %} {% load staticfiles %} {% block title %} LSPE/Strip DB: Dashboard {% endblock %} {% block content %}
The following plot shows how many tests each user has saved in the database.


Legends and Pundit react to India's electrifying performance on Day 1 against Bangladesh
by SportsCafe DeskA huge round of applause for Team India as they crushed the hopes of Bangladesh's as they on the way to put up a strong total on board. Indian bowlers completely nailed the show with terrific execution to send Tigers packing and cricket fraternity came together to shower blessings on it.
Pujara's intention looks like that! But gotta wait to watch him on Day 2.
Exactly! Eye fest for fans in Indore at Holkar.
Sheer dominance by Indian bowlers!
Expected wrap up by Indian bowlers!
Shami in the end just took Test cricket to another level!
Full marks for Shami!👏.
Yeah! Maybe.
Horror show for Tigers today at Holkar!
Bangladesh has no idea how to face the Indian bowlers!


{% load static %}
Add Page - Slam Book
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My Name In Your Phone ?
Relation between you and me?
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| Table 1 |
Test of the climatic niche divergence of the eight alien inv ... |
| Table 2 |
Habitat suitability of the eight alien invasive weeds in the ... |
| Table 3 |
Habitat suitability of the eight alien invasive weeds in the ... |
| Table 4 |
Relationships of the changes in habitat suitability between ... |


Form Name
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⛔ Problem to Solve
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ANALYZE
ACT
MOBILE
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FrontApp Permalink
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| plot_covid19_spread {tidycovid19} | R Documentation |
Provides a flexible visualization of the country-level Covid-19 spread,
inpired by the displays created by John Burn-Murdoch from the Financial
Times. Uses data from the Johns Hopkins University CSSE team
(https://github.com/CSSEGISandData/COVID-19), the ACAPS governmental
measures database
(https://www.acaps.org/covid19-government-measures-dataset), and the
World Bank (https://data.worldbank.org).
If your are overwhelmed with the options of the plot, explore them with
shiny_covid19_spread()
and use the 'copy code for plot to clipboard'
option.
plot_covid19_spread( data = download_merged_data(cached = TRUE, silent = TRUE), type = "deaths", min_cases = ifelse(per_capita, ifelse(type == "deaths", 5, 50), ifelse(type == "deaths", 1000, 10000)), min_by_ctry_obs = 7, edate_cutoff = 180, data_date_str = format(lubridate::as_date(data$timestamp[1]), "%B %d, %Y"), cumulative = TRUE, change_ave = 7, per_capita = FALSE, per_capita_x_axis = ifelse(per_capita, TRUE, FALSE), population_cutoff = 0, log_scale = TRUE, highlight = NULL, exclude_others = FALSE, intervention = NULL )
data |
The data frame to base the plot on. Should be a merged data
frame obtained by download_merged_data and defaults to
|
type |
The statistic that you want to plot. Needs to be either "confirmed", "deaths", "recovered" or "active", defined as the difference of "confirmed", "deaths" and "recovered". |
min_cases |
Defines the zero point of your X axis (the 'event date'). Defaults to 1,000 cases for deaths and 10,000 cases otherwise. |
min_by_ctry_obs |
Limits the plot to countries that have at least that many days of data since and including the event date. Defaults to 7. |
edate_cutoff |
The upper limit of the X axis in event days. Defaults to 180. |
data_date_str |
A date string to include in the annotation of the plot giving the time when the data was pulled. Defaults to the timestamp of the data. Note that you might run into issues with the default when running this in a non-english locale. Consider setting it by hand then. |
cumulative |
If |
change_ave |
Number of days to average over when you plot daily changes. |
per_capita |
If |
per_capita_x_axis |
If |
population_cutoff |
Do you want to restrict the plot to countries that exceed a certain population cutoff? Takes a value in millions and defaults to 0. Useful for per capita displays. |
log_scale |
Do you want the Y-axis to be log-scaled? Defaults to
|
highlight |
A character vector of ISO3c (ISO 3166-1 alpha-3) codes that
identify countries that you want to highlight. Using the
|
exclude_others |
If |
intervention |
If not default |
A ggplot2
object.
plot_covid19_spread() merged <- download_merged_data(cached = TRUE, silent = TRUE) plot_covid19_spread(merged, highlight = "DEU", intervention = "lockdown") plot_covid19_spread(merged, type = "recovered", min_by_ctry_obs = 10, edate_cutoff = 40, highlight = c("ITA", "ESP", "FRA", "DEU", "USA"), intervention = "soc_dist" )


Verse
[G]Love is a [C]burning [G]thing
[G]And it makes a [D]fiery [G]ring
[G]Bound by [C]wild [G]desire
[G]I fell into a [D]ring of [G]fire
Chorus
[D]I fell into a burning[C] ring of [G]fire
[D]I went down, down, down, and [C]the flames went[G] higher
[G]And it burns, burns, burns
[G]The [C]ring of [G]fire
[G]The [A7M]ring of [G7]fire


A Technology Process represents a sequence of technology behaviours that achieves a specific outcome.
A Technology Process describes internal behaviour of a Node. If its behaviour is exposed externally, this is done through one or more Technology Services. A Technology Process abstracts from the way it is implemented.
A Technology Process may realize Technology Services. Other Technology Services may serve (be used by) a Technology Process. A Node may be assigned to a Technology Process, which means that this Node performs the process.
The name of a Technology Process should clearly identify a series of technology behaviours.
Technology. Behavioural.
System boot sequence, Replicate database


--- active_crumb: Docs layout: documentation id: overview ---
Apache NLPCraft is a JVM-based open source library for adding a natural language interface to modern applications. It enables people to interact with your products using voice or text. NLPCraft can connect with any private or public data source, and has no hardware or software lock-ins. Its design is based on advanced Intent Definition Language (IDL) for defining non-trivial intents and a fully deterministic intent matching algorithm for the input utterances. You can build intents for NLPCraft using any JVM-based languages like Java, Scala, Kotlin, Groovy, etc. NLPCraft exposes REST APIs for integration with end-user applications.
One of the key features of NLPCraft is its use of IDL coupled with deterministic intent matching that are tailor made for domain-specific natural language interface. This design doesn't force developers to use direct deep learning approach with time consuming corpora development and model training - resulting in much a simpler & faster implementation.
Another key aspect of NLPCraft is its initial focus on processing English language. Although it may sound counterintuitive, this narrower initial focus enables NLPCraft to deliver unprecedented ease of use combined with unparalleled comprehension capabilities for English input out-of-the-box. It avoids academic, watered down functionality or overly complicated configuration and usage - following on project's "built for engineers by engineers" ethos. English language is spoken by more than a billion people on this planet and is de facto standard global language of the business and commerce.
So, how does it work in a nutshell?
When using NLPCraft you will be dealing with three main components:
NLPCraft employs a model-as-a-code approach where everything you do in NLPCraft is part of your source code. Data model is simply an implementation of NCModel Java interface that can be developed using any JVM programming language like Java, Scala, Kotlin or Groovy. Data model defines named entities, various configuration properties as well as intents to interpret user input. Model-as-a-code natively supports any software lifecycle tools and frameworks in Java ecosystem.
Declarative portion of the model can be stored in a separate JSON or YAML file for simpler maintenance. There are no practical limitation on how complex or simple a model can be, or what other tools it can use. Data models use intents to match the user input.
To use data model it has to be deployed into a data probe.
Data probe is a light-weight container designed to securely deploy and manage user data models. Each probe can deploy and manage multiple models and many probes can be connected to the REST server (or a cluster of REST servers). The main purpose of the data probe is to separate data model hosting from managing REST calls from the clients. While you would typically have just one REST server, you may have multiple data probes deployed in different geo-locations and configured differently.
Data probes can be deployed and run anywhere as long as there is an ingress connectivity from the REST server, and are typically deployed in DMZ or close to your target data sources: on-premise, in the cloud, etc. Data probe uses strong 256-bit encryption and ingress only connectivity for communicating with the REST server.
REST server (or a cluster of REST servers behind a load balancer) provides URL endpoint for end-user applications to securely query data sources using natural language via data models deployed in data probes. Its main purpose is to accept REST-over-HTTP calls from end-user applications and route these requests to and from requested data probes.
Unlike data probe that gets restarted every time the model is changed, i.e. during development, the REST server is a "fire-and-forget" component that can be launched once while various data probes can continuously reconnect to it. It can typically run as a Docker image locally on premise or in the cloud.
Learn more about data model, data probe and REST server.
Watch this full video (34:42) of the presentation from ApacheCon Asia 2021 conference to get in-depth understanding of the reasons why NLPCraft project was developed and what are the key principles that underlying it:


WITNESS LIST Pensions & Investments Committee March 4, 1997-8:00A HB 8 For: Stiles, Mark (Author of bill) On: Belvin, Wardaleen (Texas Tomorrow Fund) HB 9 For: Stiles, Mark (Author of bill) Registering, but not testifying: On: Belvin, Wardaleen (Texas Tomorrow Fund) HB 337 For: Telford, Barry (Author of bill) HB 337Committee Substitute (Rep. Telford #1) On: Campbell, Helen (Fire Fighters Pension) Registering, but not testifying: For: Shanklin, Bill (Georgetown Fire Dept.) Sullivan, R.F. (State Firemen's & F.M.A) HB 475 For: Craddick, Tom (Author of bill) HB 475Committee Substitute (Rep. Telford #1) For: Craddick, Tom (Author of bill) Taebel, Holly (Tx. Classroom Teacher) On: Featherston, Patricia (Teacher Retirement Sys.) Mercer, John "Randy" R. (Teacher Retirement Sys.) HB 683 For: Greenberg, Sherri (Co-Author of bill) Woolley, Beverly (Author of bill) HB 724 For: Serna, Gilbert (Author of bill) White, William (Representing Himself) Zucker, Charles (Texas Faculty Assoc.) HB 1429 For: Stiles, Mark (Author of bill) HB 1429 Committee Substitute (Rep. Telford #1) For: Stiles, Mark (Author of bill) On: Cunningham, William H. (U.T. System/ UTIMCO) Hicks, Thomas (U.T. System/ UTIMCO) Ricks, Thomas G. (UTIMCO) HJR 8 For: Stiles, Mark (Author of bill) HJR 8Committee Substitute (Rep. Telford #1) Registering, but not testifying: On: Belvin, Wardaleen (Texas Tomorrow Fund)


| pgpool-II 4.0.3 Documentation | |||
|---|---|---|---|
| Prev | Up | Appendix A. Release Notes | Next |
Release Date: 2018-04-17
Disable health check per node parameters by default. (Bo Peng)
Fix pcp_detach_node hung when -g option is specified. (bug 391) (Tatsuo Ishii)
Test: Add new regression test for node 0 is down. (Tatsuo Ishii)
Make calls to to_regclass fully schema qualified. (Tatsuo Ishii)
Fix pgpool child process segfault when ALWAYS_MASTER is on. (Tatsuo Ishii)
If following conditions are all met pgpool child segfaults:
Streaming replication mode.
fail_over_on_backend_error is off.
ALWAYS_MASTER flag is set to the master (writer) node.
pgpool_status file indicates that the node mentioned in #3 is in down status.
Doc: Improve watchdog documents. (Tatsuo Ishii)
Doc: Add a document for adding new config parameter. (Tatsuo Ishii)
Test: Improve test script 003.failover. (Bo Peng)
Deal with "unable to bind D cannot get parse message "S1" error. (Tatsuo Ishii)
Doc: Mention that users can avoid failover using backend_flag even PostgreSQL admin shutdown. (Tatsuo Ishii)
Doc: Fix document typos. (Bo Peng)
Test: Add new regression test for node 0 not being primary. (Tatsuo Ishii)
Fix pgpool_setup failure in replication mode. (Tatsuo Ishii)
Allow to support pgpool_switch_xlog
PostgreSQL 10. (Tatsuo Ishii)
Revert "Fix pgpool child process segfault when ALWAYS_MASTER is on." (Tatsuo Ishii)
With the commit, write queries are always sent to node 0 even if the primary node is not 0 because PRIMARY_NODE_ID macro returns REAL_MASTER_NODE_ID, which is usually 0. Thus write queries are failed with: ERROR: cannot execute INSERT in a read-only transaction
Test: Enhance extended query test. (Tatsuo Ishii)
Doc: Fix pgpool_adm family functions examples. (Tatsuo Ishii)


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My dearest web surfer,
Thank you for visiting my
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It includes my favorite works of
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Sounders MLS Cup championship parade: Where and when you can see the Philip Anschutz trophy
by Alex IniguezWithin minutes of the Sounders’ 3-1 MLS Cup championship win against Toronto FC, the question arose: When will a championship parade take place?
The answer: Tuesday at noon.
The parade will start at Westlake Park, at the corner of 4th Avenue and Pine Street, make its way through downtown and end with a rally starting around 1:30 p.m. on the Fisher Pavilion Lawn at Seattle Center.
For some Sounders, celebrating with fans at CenturyLink Field on Sunday may have to suffice. A FIFA international break starts Monday and goes through Nov. 19, meaning many of the Sounders’ best players will quickly need to join their national teams and won’t be able to participate in the parade. In September, the Sounders had 10 players called into international duty, causing them to play shorthanded against Colorado.
This will be the second championship parade in Seattle in the past two years, after 2018’s Storm victory celebration, and the first for the Sounders since their first MLS Cup win in 2016.
- Twice as nice: Sounders defeat Toronto FC at a raucous CenturyLink Field for second MLS Cup title
- 'Unbelievable': Sounders fans packing Pioneer Square, CenturyLink Field elated with MLS Cup win
- MLS Cup championship parade: Where and when you can see the Philip Anschutz trophy
- Sounders midfielder Victor Rodriguez stayed ready, blasted a goal and earned MLS Cup MVP honors
- Instant analysis: Impressions from the Sounders’ MLS Cup win vs. Toronto FC
More
Alex Iniguez on Twitter: @alexiniguez. Alex Iniguez is an assistant sports editor at The Seattle Times. He arrived in Seattle in the summer of 2018 after spending the previous seven years at the Pittsburgh Post-Gazette. He is a graduate of the University of Illinois.


Facebook Is Planning a Large-Scale Charity Campaign
The social network Facebook plans to donate $ 7 million to charity as part of its GivingTuesday campaign, traditionally held on Tuesday after Thanksgiving.
On December 3, hundreds of US non-governmental organizations will receive funding for their causes from a platform that promises to cover taxes on donated funds, so that 100% of them will be used as intended. To help the most needy, Facebook announced that it will donate a maximum of $ 100,000 to each organization.
The company is also launching new charity buttons. One is for Instagram business accounts and the other is on the Facebook Stories tab and is in the form of a sticker. Live broadcast, or so-called Livestreaming, often used by gamers, could also support a cause if they choose to add a special button to encourage their viewers to donate to a charity of their choice.


Work Experience
Software Development Engineer II
Zeta Suite
11/2019 – Present
Bengaluru, India
Modern Processing and Embeddable Banking Solutions,
next gen platforms for banks, fintechs and distributors
-
Worked on various projects of Sodexo, developed modules like card ordering, workflow and workbench
management, task queues for operators.
-
Developed an observability platform connecting with 10+ services, that gives full
view of org's zone, cluster, slo, contacts, alert, incidents, deployments happening and
much more.
-
Leading the frontend team, developed new documentation application and theming for internal and
external marketing, crafting materials and mentoring freshers on
engineering practices and frontend topics.
-
Improving code quality, enabling coding standards and
build resuable visual components and business components utilized in multiple applications.
Software Development Engineer II
Nineleaps
08/2018 – 11/2019
Bengaluru, India
Enablers of Digital Transformation across industries, helping partner
companies become future ready
-
Developed products for Tesco which enables access to various
applications to different types of employees.
-
Leading the FrontEnd team, setting up structure for the data
flow and communication between services and efficiently communicating with stakeholder
-
Replaced existing application with light weight and faster loading application, developing
reusable components and optimizing the bundle size.
-
Implementing authorization modules, logic for multi-level
selection, retaining states, persisting data on browser and reducing the API
calls.
Full Stack Engineer
Busigence Technologies
02/2017 – 07/2018
Bengaluru, India
Decision Intelligence Company, Working on Machine Learning, Deep Learning
and Artificial Intelligence
-
Developed AI Platform creating
centralized store structure to manage data flow, interactive layout and converting them to data inside
the application.
-
Developed collaboration window and integrating it with the
application. Involved with designer to solutionize the problems.
-
Developing Business logic to connect with backend
algorithms and multiple databases.
-
Basic pipeline construction and automated script to executing
the pipeline in syncronazied manner on frontend.
Education
MS Software Engineering
VIT University
2012 – 2017
Higher Secondary Certificate
Sri Ramakrishna BHEL Hr. Sec. School
2011 – 2012
Skills
React JS
Vue JS
React Redux
Vuex
Node JS
Express JS
Typescript
GraphQL
Responsive Design
CSS3
SCSS
ES6
Jest
D3
Django
Webpack
Ember JS
jQuery
Interests
Video Games
Chess
Football
Drawing
Area of Interests
UX & UI
Involving with product and design team to provide inputs on UX and developing robust
applications.
Improving standards
Interested in setting coding standards, PR, branching, optimizing build.
Languages


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About Me
Home
About Me
Project Portfolio
Hello, I am a third year UCSD student majoring in Computer Engineer.
Send me mail at
xiz016@ucsd.edu


The Metro stations where the most fines are handed out to fare dodgers
A whopping 25,418 people were given fines for travelling without a ticket between January 1 and October 24 this year
by Sonia SharmaThousands of people have been caught trying to dodge Metro fares this year - and we can reveal the stations where most ticket dodgers were stopped.
A Freedom of Information request by ChronicleLive shows that a staggering 25,418 people were handed penalty fare notices between January 1 and October 24 this year.
Of those, the most were caught at Monument station, where 3,106 fines were issued.
Central Station was second with 2,316 notices given out, followed by North Shields, where 2,287 passengers were caught without a ticket.
During the 10-month period, Nexus collected around £197,418 in fines.
Nexus, which owns and operates Metro, says Monument is at the top of the list because it is the busiest station on the network.
Huw Lewis, customer services director, added: "Metro is a public service, Nexus does not seek to make a profit and every penny we receive in fares goes back into meeting the cost of operating the system.
"When people cheat their fare they are choosing to starve Metro of the money we need to pay people’s wages and maintain the system – they may also be prosecuted and end up with a criminal record.
"The money we claim back in penalty fare notices - £20 each time we stop someone, and more in admin payments if we have to chase them for payment – goes back into Metro alongside normal fares income.
"We have increased the number of customer service staff we have to the highest number ever, and this means we can do more roving patrols, as well as protecting revenue on the 75% of journeys that pass through gates at busier stations.
"Metro fares offer really good value, from as little as £1 a journey for 16-18 year olds, even less for children, and less than £5 all day for the longest journeys by adults with Pop Pay As You Go.
"Payment is simple by cash, card or online. It is simply not worth cheating Metro and other passengers."
Here's a look at the Metro stations where the most fare dodgers were caught:


byobu-launcher(1) byobu byobu-launcher(1) NAME byobu-launcher - Byobu Launcher DESCRIPTION byobu-launcher is a simple application that will launch screen(1) in a byobu(1) configuration, reconnecting to an existing detached session (if available). SEE ALSO screen(1), byobu(1) http://launchpad.net/byobu AUTHOR This manpage and the utility were written by Dustin Kirkland <kirk‐<EMAIL_ADDRESS>for Ubuntu systems (but may be used by others). Permis‐ sion is granted to copy, distribute and/or modify this document and the utility under the terms of the GNU General Public License, Version 3 pub‐ lished by the Free Software Foundation. The complete text of the GNU General Public License can be found in /usr/share/common-licenses/GPL on Debian/Ubuntu systems, or in /usr/share/doc/fedora-release-*/GPL on Fedora systems, or on the web at http://www.gnu.org/licenses/gpl.txt. byobu 16 Jan 2009 byobu-launcher(1)


| DOSE: T+ 0:00 |
3.0 g |
oral |
Syrian Rue |
(seeds) |
| T+ 0:00 |
5.0 g |
oral |
Mushrooms |
(dried) |
| T+ 2:00 |
10 drops |
sublingual |
DMAE |
(liquid) |
I took 10 drops sublinquily of Dmae H3, 3g Syrian Rue, and 5g of dried Psilocybe Mushrooms. I took the Dmae H3 2 hours into the trip and it seemed to help me think clearer and better and faster then I was with just the Rue/Mushroom mix. There was only one problem though with this combination, I received a Headache (which lasted not too long maybe about 30 minutes to and hour). A tension headache. I normally get headaches with Dmae H3 alone anyhow if I take too much and always the same type of headache (in the back of the neck tension type headache). I also am very sensetive to smart neurochemicals anyway. If you are sensitive towards Smart Neurotransmitters also as I am then watch out with this combination. I don't think it's too smart anyhow to mix anything with Mao Inhibiters (except for maybe some Tryptamines) so just watch out.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Fake Filler Test
Text Type
Captcha (ignored)
First Name (readonly)
First Name (readonly, with value)
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First Name (disabled, with value)
First Name (input without type)
First Name (input with empty type)
First Name
First Name (with value)
Last Name
Full Name
Username
Email Address
Email Address (retyped)
Organization
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Number
Zip Code
Date
Website
Matches Nothing
Other Types
Password
Repeat Password
Email
Confirm Email
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Number
Range
Search
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Month
Time
Week
Telephone
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Drop Down
Red
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Drop Down (without empty option)
White
Red
Drop Down (with value)
Red
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Red
Green
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Yellow
Drop Down (disabled, with value)
Red
Green
Blue
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Drop Down (with disabled value)
Red
Green
Blue
Yellow
Black
Orange
Pink
White
Drop Down (disabled selected value)
Red
Green
Blue
Yellow
Drop Down (with optgroup)
--select--
Red
Yellow
Blue
Orange
Green
Violet
Red-Orange
Yellow-Orange
Yellow-Green
Blue-Green
Blue-Violet
Red-Violet
Radio
Red
Green
Blue
Yellow
Checkbox
Red
Green
Blue
Yellow
Text Area
Text Area Match Nothing
Alphanumeric
contenteditable
Always Checked
I agree to the terms and conditions
JavaScript Hidden
Serialize Form


|
1-Wire API for .NET Version 4.00
|
Represents a group of 1-Wire addresses that have either arrived to or departed from the 1-Wire network. More...
Inherits java::util::EventObject.
Public Member Functions | |
| int | getEventType () |
| Returns the event type (ARRIVAL | DEPARTURE) | |
| AbstractDeviceMonitor | getMonitor () |
| Returns the monitor which generated this event. | |
| DSPortAdapter | getAdapter () |
| Returns DSPortAdapter the monitor was using when the event was generated. | |
| int | getDeviceCount () |
| Returns the number of devices associated with this event. | |
| OneWireContainer | getContainerAt (int index) |
| Returns the OneWireContainer for the address at the specified index. | |
| OWPath | getPathForContainerAt (int index) |
| Returns the Path object for the device at the specified index. | |
| long | getAddressAsLongAt (int index) |
| Returns the device address at the specified index as a primitive long. | |
| byte[] | getAddressAt (int index) |
| Returns the device address at the specified index as a byte array. | |
| String | getAddressAsStringAt (int index) |
| Returns the device address at the specified index as a String. | |
Static Public Attributes | |
| static final int | ARRIVAL = 0 |
| enum for arrival/departure event types | |
Protected Attributes | |
| int | eventType = -1 |
| The type of event (ARRIVAL|DEPARTURE) | |
| AbstractDeviceMonitor | monitor = null |
| The monitor which generated the event. | |
| DSPortAdapter | adapter = null |
| The DSPortAdapter the monitor was using at the time of event. | |
| Vector | vDeviceAddress = null |
| Vector of addresses for devices. | |
Package Functions | |
| DeviceMonitorEvent (int eventType, AbstractDeviceMonitor source, DSPortAdapter adapter, Vector addresses) | |
| Creates a new DeviceMonitor event with the specified characteristics. |
Represents a group of 1-Wire addresses that have either arrived to or departed from the 1-Wire network.
| DeviceMonitorEvent | ( | int | eventType, |
| AbstractDeviceMonitor | source, | ||
| DSPortAdapter | adapter, | ||
| Vector | addresses | ||
| ) | [package] |
Creates a new DeviceMonitor event with the specified characteristics.
| eventType | The type of event (ARRIVAL | DEPARTURE) |
| source | The monitor which generated the event |
| adapter | The DSPortAdapter the monitor was using |
| addresses | Vector of addresses for devices |
| DSPortAdapter getAdapter | ( | ) |
Returns DSPortAdapter the monitor was using when the event was generated.
| long getAddressAsLongAt | ( | int | index | ) |
Returns the device address at the specified index as a primitive long.
| String getAddressAsStringAt | ( | int | index | ) |
Returns the device address at the specified index as a String.
| byte [] getAddressAt | ( | int | index | ) |
Returns the device address at the specified index as a byte array.
| OneWireContainer getContainerAt | ( | int | index | ) |
Returns the OneWireContainer for the address at the specified index.
| int getDeviceCount | ( | ) |
Returns the number of devices associated with this event.
| int getEventType | ( | ) |
Returns the event type (ARRIVAL | DEPARTURE)
| AbstractDeviceMonitor getMonitor | ( | ) |
Returns the monitor which generated this event.
| OWPath getPathForContainerAt | ( | int | index | ) |
Returns the Path object for the device at the specified index.


in gngr, the below submenu entries are not properly positioned because the span is not recognised as a containing block, since the span is display:inline (If it is explicitly set to display:inline-block, it works) See Issue #135
Hello Hello
Hello Hello
Hello Hello
Hello Hello
Hello Hello


jQuery has a feature/bug: if one of its .ready()
handlers crashes, it reruns all of them. This page demonstrates this behaviour,
and shows that it doesn't happen if you use the built in.
Discovered with jquery 1.4.3
Quirk vanishes with jquery 1.10.0
If you're playing with this source code, make sure in the above two lines to only load one version of jquery of the other ;)
Simple table of outcomes (TODO: rewrite as an html table):
Number of times crash() runs: body.onload $(document).ready 1.4.3 1 2 1.10.0 1 1


Gateway
BOT
02-Aug-18 05:13 PM
[dscrdeql] <yamakashy> no
[dscrdeql] < Thorth > saw it ??
[dscrdeql] <yamakashy> yeh Im in ...
[dscrdeql] < Thorth > yeap u saw it
[dscrdeql] <yamakashy> Im green , Im bullish
[dscrdeql] <addi> yay! congrats @yamakashy !
[dscrdeql] <linkara6669> hey peeps!
[dscrdeql] <beastMode> secret rooms are awesome
[dscrdeql] <linkara6669> on my lunch break
[dscrdeql] <linkara6669> grats @addi!
[dscrdeql] <yamakashy> @addi thanks lady
[dscrdeql] <addi> thank you link
[dscrdeql] < Thorth > well done @addi u level up
(edited)
[dscrdeql] <linkara6669> grats to @yamakashy as well!
[dscrdeql] <addi> yep, i did it
[dscrdeql] <Llama> is kmd not on exrates?
[dscrdeql] <CombatWombat> nope doesn't look like it Llama
[dscrdeql] <Llama> well i guess i cant buy any more eqli
[dscrdeql] <CombatWombat> sucks
[dscrdeql] <Jonathan> exchange it for btc and you can @Llama
(edited)
[dscrdeql] <CombatWombat> dunno how much longer prices will be this low
[dscrdeql] <Llama> unless i want to sell the kmd i have on binance
[dscrdeql] <CombatWombat> cant be much longer
[dscrdeql] <yamakashy> what is the price at the moment
[dscrdeql] <yamakashy> in btc
[dscrdeql] <yamakashy> eql/btc
[dscrdeql] <DaylightHours> Lol
[dscrdeql] <DaylightHours> Whales keep it low
[dscrdeql] <Jonathan> @yamakashy 0.000000017 looks like
[dscrdeql] <yamakashy> 1 satoshi lol
[dscrdeql] <Cryptoon> a zero too many I think @Jonathan
[dscrdeql] <KQweci> For 1 eql @Jonathan
[dscrdeql] <KQweci> It will pick up with time @Cryptoon
[dscrdeql] <Llama> 0.000000015
[dscrdeql] <Cryptoon> @KQweci I'm not worried, bougt some eql last week
[dscrdeql] <KQweci> Most exchanges are dumps
[dscrdeql] <Jonathan> just copy and pasted that @Cryptoon
[dscrdeql] <Cryptoon> looooooooooong term bag
[dscrdeql] <KQweci> Buy and hodl
[dscrdeql] <KQweci> Yeah that's it
[dscrdeql] <Jonathan> amen @KQweci
[dscrdeql] <yamakashy> how long ?
[dscrdeql] <Cryptoon> why the fuck would you even think of selling at anything below 1000x this price
[dscrdeql] <yamakashy>
[dscrdeql] <Cryptoon> at least a year?
[dscrdeql] <Cryptoon> given I don't rain everything away out of boredom tho lol
[dscrdeql] <CombatWombat> makes no sense why some one sold so low
[dscrdeql] <Cryptoon> I think someone sold like a huge stash because of a misclick or whatever
[dscrdeql] <Jonathan> yeah, completely irrational
[dscrdeql] <Cryptoon> and now people are just buying these and selling them at 2x
[dscrdeql] <Cryptoon> more like trading not really 'investing'
[dscrdeql] <Cryptoon> To make a quick flip
[dscrdeql] <CombatWombat> no idea
[dscrdeql] <Cryptoon> Once these cheap eql are off the market to hodlers price will stabilize
[dscrdeql] <Cryptoon> To 1000 sats or whatever
[dscrdeql] <CombatWombat> we need more hodlers
[dscrdeql] <KQweci> And also people have to stop selling cheap
[dscrdeql] <Cryptoon> As I said, I have some shitcoins which I am waiting to moon
[dscrdeql] <Cryptoon> So once these go 2-3x
[dscrdeql] <Llama> refill = deposit?
[dscrdeql] <Cryptoon> I'm selling and buying more long term holds
[dscrdeql] <Cryptoon> yes
[dscrdeql] <Cryptoon> @Llama
[dscrdeql] <Catalyst> i will hold till Eql reaches 1 usd
[dscrdeql] <KQweci> I was following this project and people were selling cheap and the team most people withdraw coin from exchanges and they manage to get the coin to a $1 after
[dscrdeql] <Catalyst> as i bought some in the ico
[dscrdeql] <KQweci> I will hodl till I can buy 2 homes out
[dscrdeql] <KQweci> Good @Faisal
[dscrdeql] <Catalyst> ahaha i can buy a home if it reaches 1 Dolla
[dscrdeql] <Catalyst> a 2 bedroom
[dscrdeql] <KQweci> Good
[dscrdeql] <Cryptoon> As long has it has a big garage for my lambo
[dscrdeql] <Cryptoon> it's all good
[dscrdeql] <Cryptoon> hahahahaha
[dscrdeql] <Cryptoon> lambo's
[dscrdeql] <Llama> @Catalyst what price are you anticipating a home being?
[dscrdeql] <MySoulisNotForSale> I heard around 80k
[dscrdeql] <Catalyst> well 10K-20K USD will buy you a nice flat in the city, for a home you will need land+housing+all legal stuff so yeah around 80Kto 90K one can get a 120 yards house
(edited)
[dscrdeql] <Catalyst> but a decent land will cost you more like 100K
[dscrdeql] <Catalyst> in the village for 80K one can have a nice 1000 Yards house
[dscrdeql] <c2k> are there renderings of the homes...different sizes, interior and exterior, etc
[dscrdeql] <Catalyst> land in the village is cheap as mostly agricultural
[dscrdeql] <Llama> not yet @c2k
[dscrdeql] <CombatWombat> will need about 700k AUD for a house here lol
[dscrdeql] <c2k> ok tx. would be great to see at some point
[dscrdeql] <Catalyst> Yes depends on how you want. for instance when my father bought this plot it cost him mere 1K uSD now buying a plot here where we live just the plot costs 60-80K
[dscrdeql] <Catalyst> 700K woah that's a great fortune
[dscrdeql] <CombatWombat> can't get anything here less then say 400k and that's nothing special in a crappier location
[dscrdeql] <yamakashy> @Catalyst where is that
[dscrdeql] <Catalyst> Karachi Pakistan ^
[dscrdeql] <yamakashy> nice place on the see right
[dscrdeql] <Catalyst> wow 400K crappier noice
[dscrdeql] <CombatWombat> lol very expensive here
[dscrdeql] <Catalyst> Yes, sea is really near like 5 miles from us
[dscrdeql] <yamakashy> sea sry yes
[dscrdeql] <CombatWombat> but apparently house prices dipped 1.6 percent in Melbourne so let it keep going lol
[dscrdeql] <Catalyst> aha nice dip and still 400K.. give.me.a.break
[dscrdeql] <CombatWombat> that would be the cheapest you could get


{%load static%} {%url 'home:registered-teams' as registered_teams_url%} {%url 'home:qualified-teams' as qualified_teamsurl%} {%url 'home:verified-teams' as verified_teams_url%} {%url 'home:match-date' as match_date_url%}
view all registered teams in this tournament .
Teams verified by the admin.
Teams got qualified for next battle.
match dates.


--- layout: post title: Moved to a brand new dedicated server categories: - general author: admin published: true date: 2005-04-01 09:25:33.000000000 +01:00 ---
The terror reign of intermittent MySQL errors has ended. We moved to a brand new dedicated server this morning thanks once again to the kind crew at TextDrive.
UPDATE: The wiki is offline for a bit today as the server will be reconfigured to allow larger memory allocations.


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{% extends 'basic.html' %} {% block title %} Tech-Beauty Parlour | Products {% endblock %} {% block body %} {% load static %}
As Your Skin Care Is Important To Us,We Try To Use The Best Product's For You.Which Will Help You To Look More Pretty And Beautiful.


{% include 'includes/header.html' %}
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QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
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Clubs Topology. More...
#include <ql/experimental/math/particleswarmoptimization.hpp>
Public Member Functions | |
| ClubsTopology (Size defaultClubs, Size totalClubs, Size maxClubs, Size minClubs, Size resetIteration, unsigned long seed=SeedGenerator::instance().get()) | |
| void | setSize (Size M) override |
| initialize state for current problem More... | |
| void | findSocialBest () override |
| produce changes to PSO state for current iteration More... | |
| Public Member Functions inherited from ParticleSwarmOptimization::Topology | |
| virtual | ~Topology ()=default |
| virtual void | setSize (Size M)=0 |
| initialize state for current problem More... | |
| virtual void | findSocialBest ()=0 |
| produce changes to PSO state for current iteration More... | |
Private Types | |
| using | param_type = decltype(distribution_)::param_type |
Private Member Functions | |
| void | leaveRandomClub (Size particle, Size currentClubs) |
| void | joinRandomClub (Size particle, Size currentClubs) |
Private Attributes | |
| Size | totalClubs_ |
| Size | maxClubs_ |
| Size | minClubs_ |
| Size | defaultClubs_ |
| Size | iteration_ = 0 |
| Size | resetIteration_ |
| Size | M_ |
| std::vector< std::vector< bool > > | clubs4particles_ |
| std::vector< std::vector< bool > > | particles4clubs_ |
| std::vector< Size > | bestByClub_ |
| std::vector< Size > | worstByClub_ |
| std::mt19937 | generator_ |
| std::uniform_int_distribution< QuantLib::Size > | distribution_ |
Additional Inherited Members | |
| Protected Attributes inherited from ParticleSwarmOptimization::Topology | |
| ParticleSwarmOptimization * | pso_ |
| std::vector< Array > * | X_ |
| std::vector< Array > * | V_ |
| std::vector< Array > * | pBX_ |
| std::vector< Array > * | gBX_ |
| Array * | pBF_ |
| Array * | gBF_ |
Clubs Topology.
Definition at line 401 of file particleswarmoptimization.hpp.
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private |
Definition at line 419 of file particleswarmoptimization.hpp.
| ClubsTopology | ( | Size | defaultClubs, |
| Size | totalClubs, | ||
| Size | maxClubs, | ||
| Size | minClubs, | ||
| Size | resetIteration, | ||
| unsigned long | seed = SeedGenerator::instance().get() |
||
| ) |
Definition at line 243 of file particleswarmoptimization.cpp.
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overridevirtual |
initialize state for current problem
Implements ParticleSwarmOptimization::Topology.
Definition at line 262 of file particleswarmoptimization.cpp.
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overridevirtual |
produce changes to PSO state for current iteration
Implements ParticleSwarmOptimization::Topology.
Definition at line 286 of file particleswarmoptimization.cpp.
Definition at line 369 of file particleswarmoptimization.cpp.
Definition at line 385 of file particleswarmoptimization.cpp.
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Definition at line 410 of file particleswarmoptimization.hpp.
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Definition at line 410 of file particleswarmoptimization.hpp.
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Definition at line 410 of file particleswarmoptimization.hpp.
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Definition at line 410 of file particleswarmoptimization.hpp.
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Definition at line 411 of file particleswarmoptimization.hpp.
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Definition at line 411 of file particleswarmoptimization.hpp.
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Definition at line 412 of file particleswarmoptimization.hpp.
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Definition at line 413 of file particleswarmoptimization.hpp.
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Definition at line 414 of file particleswarmoptimization.hpp.
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Definition at line 415 of file particleswarmoptimization.hpp.
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Definition at line 416 of file particleswarmoptimization.hpp.
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Definition at line 417 of file particleswarmoptimization.hpp.
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Definition at line 418 of file particleswarmoptimization.hpp.