mpp_io_mod, is a set of simple calls for parallel I/O on distributed systems. It is geared toward the writing of data in netCDF format. It requires the modules and , upon which it is built.
type, public :: axistype sequence character(len=128) :: name character(len=128) :: units character(len=256) :: longname character(len=8) :: cartesian integer :: len integer :: sense !+/-1, depth or height? type(domain1D), pointer :: domain real, dimension(:), pointer :: data integer :: id, did integer :: type ! external NetCDF type format for axis data integer :: natt type(atttype), pointer :: Att(:) ! axis attributes end type axistypeA field is described using the type fieldtype:
type, public :: fieldtype sequence character(len=128) :: name character(len=128) :: units character(len=256) :: longname real :: min, max, missing, fill, scale, add integer :: pack type(axistype), dimension(:), pointer :: axes integer, dimension(:), pointer :: size integer :: time_axis_index integer :: id integer :: type ! external NetCDF format for field data integer :: natt, ndim type(atttype), pointer :: Att(:) ! field metadata end type fieldtypeAn attribute (global, field or axis) is described using the atttype:
type, public :: atttype sequence integer :: type, len character(len=128) :: name character(len=256) :: catt real(FLOAT_KIND), pointer :: fatt(:) end type atttypeThis default set of field attributes corresponds closely to various conventions established for netCDF files. The pack attribute of a field defines whether or not a field is to be packed on output. Allowed values of pack are 1,2,4 and 8. The value of pack is the number of variables written into 8 bytes. In typical use, we write 4-byte reals to netCDF output; thus the default value of pack is 2. For pack = 4 or 8, packing uses a simple-minded linear scaling scheme using the scale and add attributes. There is thus likely to be a significant loss of dynamic range with packing. When a field is declared to be packed, the missing and fill attributes, if supplied, are packed also.
... type(domain2D), dimension(:), allocatable, target :: domain type(fieldtype) :: field type(axistype) :: x, y, z, t ... call mpp_define_domains( (/1,nx,1,ny/), domain ) allocate( a(domain(pe)%x%data%start_index:domain(pe)%x%data%end_index, & domain(pe)%y%data%start_index:domain(pe)%y%data%end_index,nz) ) ... call mpp_write_meta( unit, x, 'X', 'km', 'X distance', & domain=domain(pe)%x, data=(/(float(i),i=1,nx)/) ) call mpp_write_meta( unit, y, 'Y', 'km', 'Y distance', & domain=domain(pe)%y, data=(/(float(i),i=1,ny)/) ) call mpp_write_meta( unit, z, 'Z', 'km', 'Z distance', & data=(/(float(i),i=1,nz)/) ) call mpp_write_meta( unit, t, 'Time', 'second', 'Time' ) call mpp_write_meta( unit, field, (/x,y,z,t/), 'a', '(m/s)', AAA', & missing=-1e36 ) ... call mpp_write( unit, x ) call mpp_write( unit, y ) call mpp_write( unit, z ) ...In this example, x and y have been declared as distributed axes, since a domain decomposition has been associated. z and t are undistributed axes. t is known to be a record axis (netCDF terminology) since we do not allocate the data element of the axistype. Only one record axis may be associated with a file. The call to initializes the axes, and associates a unique variable ID with each axis. The call to mpp_write_meta with argument field declared field to be a 4D variable that is a function of (x,y,z,t), and a unique variable ID is associated with it.  The call to initializes all of the metadata associated with the file, including global attributes, variable attributes and non-record dimension data. The call to mpp_get_info returns the number of global attributes (natt), variables (nvar) and time levels (ntime) associated with the file identified by a unique ID (unit). mpp_get_atts returns all global attributes for the file in the derived type atttype(natt). mpp_get_vars returns variable types (fieldtype(nvar)). Since the record dimension data are not allocated for calls to , a separate call to mpp_get_times is required to access record dimension data. Subsequent calls to mpp_read return the field data arrays corresponding to the fieldtype. The domain type is an optional argument. If domain is omitted, the incoming field array should be dimensioned for the global domain, otherwise, the field data is assigned to the computational domain of a local array.
mpp_mod
mpp_domains_mod
use mpp_io_mod [, only: mpp_write_meta,
mpp_write,
mpp_read,
mpp_get_atts,
mpp_io_init,
mpp_io_exit,
mpp_open,
mpp_close,
mpp_read_meta,
mpp_get_info,
mpp_get_times,
mpp_flush,
mpp_get_ncid ]
call mpp_write_meta ( unit, axis, name, units, longname, cartesian, sense, domain, data )
call mpp_write_meta ( unit, field, axes, name, units, longname, min, max, missing, fill, scale, add, pack )
call mpp_write_meta ( unit, id, name, rval=rval, pack=pack )
call mpp_write_meta ( unit, id, name, ival=ival )
call mpp_write_meta ( unit, id, name, cval=cval )
call mpp_write_meta ( unit, name, rval=rval, pack=pack )
call mpp_write_meta ( unit, name, ival=ival )
call mpp_write_meta ( unit, name, cval=cval )
| unit | |
| name | |
| units | |
| longname | |
| cartesian | |
| sense | |
| domain | |
| data | |
| min, max | |
| missing | |
| fill | |
| scale | |
| add | |
| pack | |
| id | |
| cval | |
| ival | |
| rval |
| axis | |
| field |
mpp_write ( unit, axis )
mpp_write ( unit, field, data, tstamp )
mpp_write ( unit, field, domain, data, tstamp )
| tstamp | tstamp is an optional argument. It is to be omitted if the field was defined not to be a function of time. Results are unpredictable if the argument is supplied for a time- independent field, or omitted for a time-dependent field. Repeated writes of a time-independent field are also not recommended. One time level of one field is written per call. tstamp must be an 8-byte real, even if the default real type is 4-byte. |
data = packed_data*scale + addNOTE: mpp_write does not check to see if the scaled data in fact fits into the dynamic range implied by the specified packing. It is incumbent on the user to supply correct scaling attributes.
call mpp_read ( unit, field, data, time_index )
call mpp_read ( unit, field, domain, data, time_index )
| unit |
[integer] |
| field |
[type(fieldtype)] |
| domain | |
| time_index | time_index is an optional argument. It is to be omitted if the field was defined not to be a function of time. Results are unpredictable if the argument is supplied for a time- independent field, or omitted for a time-dependent field. |
| data |
[real, dimension(:,:,:)] |
call mpp_get_atts ( unit, global_atts)
| unit |
[integer] |
| global_atts |
[atttype, dimension(:)] |
call mpp_io_init ( flags, maxunit )
| flags |
[integer] |
| maxunit |
[integer] |
call mpp_io_exit ()
call mpp_open ( unit, file, action, form, access, threading, fileset, iospec, nohdrs, recl, pelist )
| file | file is the filename: REQUIRED
we append .nc to filename if it is a netCDF file
we append .<pppp> to filename if fileset is private (pppp is PE number) [character(len=*)] |
| action | action is one of MPP_RDONLY, MPP_APPEND, MPP_WRONLY or MPP_OVERWR. [integer] |
| form | form is one of MPP_ASCII: formatted read/write
MPP_NATIVE: unformatted read/write with no conversion
MPP_IEEE32: unformatted read/write with conversion to IEEE32
MPP_NETCDF: unformatted read/write with conversion to netCDF [integer] |
| access | access is one of MPP_SEQUENTIAL or MPP_DIRECT (ignored for netCDF).
RECL argument is REQUIRED for direct access IO. [integer] |
| threading | threading is one of MPP_SINGLE or MPP_MULTI
single-threaded IO in a multi-PE run is done by PE0. [integer] |
| fileset | fileset is one of MPP_MULTI and MPP_SINGLE
fileset is only used for multi-threaded I/O
if all I/O PEs in <pelist> use a single fileset, they write to the same file
if all I/O PEs in <pelist> use a multi fileset, they each write an independent file [integer] |
| pelist | pelist is the list of I/O PEs (currently ALL). [integer] |
| recl | recl is the record length in bytes. [integer] |
| iospec | iospec is a system hint for I/O organization, e.g assign(1) on SGI/Cray systems. [character(len=*)] |
| nohdrs | nohdrs has no effect when action=MPP_RDONLY|MPP_APPEND or when form=MPP_NETCDF [logical] |
| unit | unit is intent(OUT): always _returned_by_ mpp_open(). [integer] |
namelist / nml / ... ... call mpp_open( unit, 'input.nml', action=MPP_RDONLY ) read(unit,nml)will result in each PE independently reading the same namelist.
call mpp_open( unit, ... iospec='-F cachea' )on an SGI/Cray system, which would pass the supplied iospec to the assign(3F) system call.
call mpp_close ( unit, action )
| unit |
[integer] |
| action |
[integer] |
call mpp_read_meta (unit)
| unit |
[integer] |
call mpp_get_info ( unit, ndim, nvar, natt, ntime )
| unit |
[integer] |
| ndim |
[integer] |
| nvar |
[integer] |
| natt |
[integer] |
| ntime |
[integer] |
call mpp_get_times ( unit, time_values )
| unit |
[integer] |
| time_values |
[real(DOUBLE_KIND), dimension(:)] |
call mpp_flush (unit)
| unit |
[integer] |
mpp_get_ncid (unit)
| unit |
[integer] |
use mpp_io_modIf netCDF output is desired, the cpp flag -Duse_netCDF must be turned on. The loader step requires an explicit link to the netCDF library (typically something like -L/usr/local/lib -lnetcdf, depending on the path to the netCDF library). netCDF release 3 for fortran is required.
The source consists of the main source file and also requires the following include files: (when compiled with ) GFDL users can check it out of the main CVS repository as part of the CVS module. The current public tag is . External users can download the latest package . Public access to the GFDL CVS repository will soon be made available.


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contributors,
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.


join_watchgroup(3f) - [M_stopwatch] adds a M_StopWatch watch to a watch group (LICENSE:PD)
Synopsis
Description
Diagnostics
Examples
Bugs
Author
See Also
subroutine join_watchgroup(watch, handle, err)
type (watchtype), intent(IN) :: watch OR type (watchtype), intent(IN) :: watch(:)
type (watchgroup), intent(INOUT) :: handle integer, optional, intent(OUT) :: err
Adds the specified watch(es) to the specified watch group. The watch(es) and group must have been previously created with create_watch and create_watchgroup.One or more watches must be specified. The argument watch can be a single variable of type watchtype (see M_stopwatch(3)) to add one watch, an array of type watchtype to add several watches.
The watch group is specified by handle, a variable of type watchgroup.
If present, the optional intent OUT integer argument err returns a status code. The code is the sum of the values listed below.An error message will be printed to a specified I/O unit (unit 6 by default) if print_errors is TRUE (default is TRUE). The error message contains more detail about the cause of the error than can be obtained from just the status code, so you should set print_errors to TRUE if you have trouble determining the cause of the error.
If abort_errors is TRUE (default is FALSE), the program will terminate on an error condition. Otherwise, the program will continue execution but the watch(es) will not be added to the group.
See option_stopwatch(3) for further information on print_errors, abort_errors and I/O units.
The relevant status codes and messages are:
0 No errors; execution successful.
1 Watch needs to be created. This error occurs if you attempt to add a watch that has been destroyed to a group. The watch must first be created again. See also the comment about watches that have never been created in the BUGS section.
512 Failed to allocate required memory. Memory is allocated in the group when a watch is added. Also, when join_watchgroup is called with an array or group of watches, temporary memory is allocated. This error occurs if the Fortran allocate statement returns a nonzero status indicating that memory could not be allocated. Avoid memory leaks by always destroying watches and groups before recreating them, and destroying local variable watches and groups before returning from a subroutine.
1024 Error occurred while deallocating memory. This error occurs if the Fortran deallocate statement returns a nonzero status while deallocating temporary memory used for an array or group of watches. The watches are added to the group, but be aware that other problems could develop as a result of the deallocate error.
type (watchtype) w1, w2(3) type (watchgroup) g1 integer errcodecall join_watchgroup(w1, g1) call join_watchgroup(w2, g1, errcode)
The first call adds the watch w1 to watch group g1. The second call adds three watch to g1 and returns a status code.
It cannot be determined whether or not a watch variable or watch group has been created (passed as an argument to create_watch or create_watchgroup). If a watch or watch group that has never been created is passed into join_watchgroup, it might generate a Fortran error due to passing a pointer with undefined association status to the Fortran intrinsic function associated. However, some compilers will allow this as an extension to the Fortran 90 standard and recognize that the pointer is not associated, in which case the Watch needs to be created error message is generated.
William F. Mitchell<EMAIL_ADDRESS>National Institute of Standards and Technology
M_stopwatch(3), create_watchgroup(3), create_watch(3), destroy_watchgroup(3), destroy_watch(3), end_pause_watch(3), inquiry_stopwatch(3), leave_watchgroup(3), option_stopwatch(3), pause_watch(3), print_watch(3), read_watch(3), reset_watch(3), start_watch(3), stop_watch(3)
| M_StopWatch 1.1 | JOIN_WATCHGROUP (3) | September 22, 2017 |


Volcanic
Vistas.
uncovered.
Skyscraper-less
Surrounded by rugged volcanic rock, Reykjavík is a city of contrasts with the iconic Mount Esja complimenting quaint fishing huts and vivid demonstrations of modern art.
Reykjavík—the country’s largest city with a population of just 120,000 people – is like a life-size model village. There are no skyscrapers, but instead a network of small, tin can-style houses with multicoloured corrugated iron walls and roofs. Thanks to this, the whole city has a somewhat temporary feel to it, as if each building could be taken down and reassembled as something else entirely next week – although in reality, the corrugated iron really protects against the relentless year-round winds.
Because of its small scale, Reykjavík can be explored on foot in a single day. A walk along the seafront past Jón Gunnar Árnason’s Sun Voyager sculpture gives breathtaking views to the mountains on the tiny island of Viðey across the bay; a stroll along the main street, Laugavegur, introduces you to an independent shopping heaven; and a wander up Lækjargata past the pond, where locals feed ducks, swans and geese, takes you to Hallgrímskirkja – the famously sci-fi-looking church with a towering concrete steeple that can be seen from almost anywhere in the city.
For history you can visit the National Museum or the Saga Museum, while for an understanding of the country’s landscape – before you get out there yourself – see the huge relief map in City Hall. Finally, Perhaps for a bit of irreverent fun, have a giggle in the Reykjavík Phallological Museum where over 200 penises from a variety of animals (including humans) are preserved in jars.


This inspection reports any instances of assignment to a
variable declared as a Groovy method parameter. It also reports any attempt to increment or decrement the variable.
While occasionally intended, this construct can be extremely confusing, and is often the result of a typo.
Powered by InspectorGroovy


Montana Super Prestige Cyclocross Series
Race Number Six
River Ranch- Hamilton, Montana
Saturday November 11th, 2001
RESULTS
As the cross season in Montana winds towards next weeks grand finale, this Saturday's stop in Hamilton proved to be another good day of racing. The day was crystal clear and sunny with the mountains and river birch forming a beautiful backdrop for the race. Of course, none of the racers got much of a chance to enjoy the scenery as the flat barrier filled course proved to be a leg draining, heart popping challenge.
Race director and course designer Jeremy Oury put together a heck of a course which included two water crossing and a smouldering pit over shich riders had to ride. Oury said after the race that next year he will probably lower the water level a bit and reduce the number of barriers.
The race started with a 50 yard lemond start and a long barrier free straight-away. The first lap saw Montana Velo's Geoff Proctor and Five Valley Velo's Mark Legg open a huge gap on the field. Proctor opened up his own lead on Legg in the second lap and the first two places were decided. Proctor's margin of victory ended up at 36 seconds after Legg recovered a bit from a maximum deficet of 55 seconds in the ten lap race.
Behind the first two racers there was some great yo-yoing among riders as the flat course tended to keep the groups together. Five Valley Velo riders Matt Seeley and Jacob Harsoch rode together for the entire race with Hatsoch edgins out Seeley by 3 seconds for third place in the Men's A race.
The Master's race was won by Northern Rockies rider Mike Longmire, the women's race was won by Five Valley Velo's Margie Legg, and the Men's B race was won by Jeremy Oury (also of Five Valley Velo).
Many thanks to the River Ranch for allowing us to race, Jeremy Oury for doing most of the work, and all of the racers for making the trip.
MENS A
1 Geoff Proctor Montana Velo 1:00:50
2 Mark Legg Five Valley Velo at :36
3 Jacob Hartsoch Five Valley Velo at 3:15
4 Matt Seeley Five Valley Velo at 3:18
5 Mike Beltz Northern Rockies at 3:48
6 Tom Robertson Northern Rockies at 4:07
7 Brian Wirak Montana Velo at 5:13
8 Brandon Fuller Five Valley Velo at 6:14
9 Kelly Irwin Yellow Humpy at 6:35
10 Paul Thompson Saturn / Pazzo Velo at 6:44
11 Andy Hawkes UA at 6:58
12 Tim Briggs UA
13 John Behrens Northern Rockies
14 Nathan Grovom Montana Velo
Brink Kuchenbrod DNF
Shane Mundt DNF
Dave Hartman DNF
MENS B
1 Jeremy Oury Five Valley Velo
2 Patrick Hutchins UA
3 Mike Grant Team Outdoorsman
4 Steve Beals Yellow Humpy
Todd Struckman Five Valley Velo DNF
WOMEN
1 Marge Legg Five Valley Velo
MASTER MEN
1 Michael Longmire Northern Rockies
2 John Weyhrich Five Valley Velo
3 Fred Michini Five Valley Velo
4 Steve Muller Northern Rockies
5 Warwick Colgan Five Valley Velo


Data acquisition systems try to display new image data as quickly as possible. Bespoke systems with full access to underlying operating system resources can use special techniques such as shared memory and tailored data formats. Generic systems will access FITS files to extract an image array and convert to RGB pixels for display. In this vein, the JS9.RefreshImage() routine accepts a FITS file contained in a JavaScript object or array, a typed array, a blob, or string. The refresh rate depends on the speed of the host CPU and the dimensions of the image. Use this demo to test the JS9 refresh rate on your host with data of your choosing.
Click the Choose Files (aka Browse) button and select two or more local FITS files to load. Choose the number of refreshes and click Run Test. The JS9.RefreshImage() routine will be called repeatedly to update the current display with the image pixels from each file in turn. On completion, the refresh rate is displayed.
The squares.tar.gz file contains two FITS images of size 512x512, 1024x1024, and 2048x2048, respectively, which might be useful for purposes of comparison.


Automatically performs desired statistical tests (e.g. wilcox.test(), t.test()) to compare between groups, and adds the resulting p-values to the plot with an annotation bar. Visualizing group differences are frequently performed by boxplots, bar plots, etc. Statistical test results are often needed to be annotated on these plots. This package provides a convenient function that works on 'ggplot2' objects, performs the desired statistical test between groups of interest and annotates the test results on the plot.
| Version: | 0.2.1 |
| Imports: | ggplot2, data.table |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2018-07-21 |
| Author: | Jun Cheng [aut, cre] |
| Maintainer: | Jun Cheng <s6juncheng at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/s6juncheng/ggpval |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | ggpval results |
| Reference manual: | ggpval.pdf |
| Vignettes: |
Title of your vignette |
| Package source: | ggpval_0.2.1.tar.gz |
| Windows binaries: | r-devel: ggpval_0.2.1.zip, r-release: ggpval_0.2.1.zip, r-oldrel: ggpval_0.2.1.zip |
| OS X binaries: | r-release: ggpval_0.2.1.tgz, r-oldrel: ggpval_0.2.1.tgz |
| Old sources: | ggpval archive |
Please use the canonical form https://CRAN.R-project.org/package=ggpval to link to this page.


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|
GNSDK C API Reference
<IP_ADDRESS>2
|
Functions | |
| GNSDK_DECLARE_HANDLE (gnsdk_link_query_handle_t) | |
Indicates available content types that can be retrieved for Albums, Lyrics, Tracks, Video Products, Contributors, Works, Seasons, or Series (or some combination of these object types). Not all content types are available for all objects.
| gnsdk_link_content_unknown |
Indicates an invalid content type. |
| gnsdk_link_content_cover_art |
Retrieves cover artwork; this is Album-level and Video Product-level content. Use with GNSDK_GDO_TYPE_ALBUM and GNSDK_GDO_TYPE_VIDEO_PRODUCT. Do not use with GNSDK_GDO_TYPE_VIDEO_WORK, GNSDK_GDO_TYPE_VIDEO_SERIES, GNSDK_GDO_TYPE_VIDEO_SEASON, or GNSDK_GDO_TYPE_CONTRIBUTOR. |
| gnsdk_link_content_genre_art |
Retrieves artwork for the object's primary genre; this is Album-level and Track-level content. |
| gnsdk_link_content_review |
Retrieves a review for the object; this is Album-level content. |
| gnsdk_link_content_biography |
Retrieves a biography for the object; this is Album-level content. |
| gnsdk_link_content_artist_news |
Retrieves news for the artist; this is Album-level content. |
| gnsdk_link_content_lyric_xml |
Retrieves lyrics in XML form; this is Lyric-level and Track-level data. |
| gnsdk_link_content_lyric_text |
Retrieves lyrics in plain text form; this is Lyric-level and Track-level content. |
| gnsdk_link_content_dsp_data |
Retrieves DSP content; this is Track-level content. |
| gnsdk_link_content_comments_listener |
Retrieves listener comments; this is Album-level content. |
| gnsdk_link_content_comments_release |
Retrieves new release comments; this is Album-level content. |
| gnsdk_link_content_news |
Retrieves news for the object; this is Album-level content. |
| gnsdk_link_content_image |
Retrieves an image for specific Video types. Use with GNSDK_GDO_TYPE_VIDEO_WORK, GNSDK_GDO_TYPE_VIDEO_SERIES, GNSDK_GDO_TYPE_VIDEO_SEASON, and GNSDK_GDO_TYPE_CONTRIBUTOR. Do not use with GNSDK_GDO_TYPE_VIDEO_PRODUCT. Note: At the time of this guide's publication, support for Video Explore Seasons and Series image retrieval through Seasons, Series, and Works queries is limited. Contact your Gracenote Professional Services representative for updates on the latest supported images. |
| gnsdk_link_content_image_artist |
Retrieves an artist image for the object; this is Album-level content. Use with GNSDK_GDO_TYPE_ALBUM.  Contact your Gracenote Professional Services representative for updates on the latest supported images. |
Definition at line 39 of file gnsdk_link.h.
Indicates possible data formats for the retrieved content.
Definition at line 173 of file gnsdk_link.h.
Indicates the Link callback function status values.
Definition at line 235 of file gnsdk_link.h.
| GNSDK_DECLARE_HANDLE | ( | gnsdk_link_query_handle_t | ) |
Handle to a Link query that is created by gnsdk_link_query_create(). The application must create this handle to perform any Link queries it needs to execute.
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Copyright © 2000-present. Gracenote, Inc. All rights reserved. Generated on Tue Jan 8 2013 07:40:57.


Versatile System Administration with over 5 years of work experience in troubleshooting, monitoring and administering system and network issues. Core knowledge in managing systems in an IT environment and in networking configurations with an entry level as a web sites responsive websites on various platforms. Experinced in managing projects on web developement and Linux platform by building highly responsive websites and activities demonstrating skills and technical expertise on troubleshoot upgrading and patching servers.Created and promoted the website for the projects and advertised it to at the University of Kansas faculty staff, students and company's leadership members during"Demo Day". Upgrade user settings and debug technical issues on Linux and Windows operating systems, resolving an average of 40 per day issues using ticketing tools. Evaluated services through biannual survey administered to all employees who utilized services within the preceding six months.
• Creat new user account, delete other user and troubleshoot customers account and providing internal and
external customers with an exceptional customer services solution through email, text and phone callls.
• Organising a standup daily routine meeting where all documented issues for the previous day are been
analyst and uncomplete task are distributed depending on competencies and determinations.
• Update, upgrade multiple linux servers by installing and configuring a quick installation tools call
kickstart.
• Full implementing and training other coworks with the use of a linux commanline management.
• Installed, maintained and fine-tuned the Apache-Tomcat server in Linux Platform
• Experience in creating Virtual and Physical server using kick start for RHEL.
• Experience in configuring NFS, SAMBA file server and administration for sharing of resources between
Linux and Windows environments.
• Works with teams to plan, coordinate and communicate all large changes to production systems with all
necessary parties.
Installation and configuration of 3rd party software, services and Patch
management which enhances the operations of the organization – (Apache, MySQL, PHP, etc.)
• Installed and configured VMware ESX server instances for virtual server setup and deployment.
Responsible for creating VMware virtual guests running Linux, Windows.
• Install, upgrade, and maintain RHEL and CentOS operating systems.
• Manage, install patches and other software packages using YUM and RPM.
• Setup NFS and Samba File sharing setup on Linux and Windows servers.
• Setup and configured Apache.
• Monitored trouble ticket queue to attend user and system calls, attended team meetings, change control
meetings to update installation progress, and for upcoming changes in environment.
• RPM and YUM package installations, patch and another server management.
• Installation, Configuration, Administration and Troubleshooting.
Configuring DNS, DHCP, NIS, NFS in Red Hat Linux & other Network Services, Linux.
• Experience in developing interactive, responsive websites on various platforms from initiation to
launch.
• Solid understanding of the following web technologies: HTML, MySQL, JavaScript, CSS, PHP, and Linux.
• Capable of learning a new programming language when applicable.
• Design, build, test, troubleshoot, and support website-based applications
• Optimize performance of web applications
• Communicate with the full spectrum of global stakeholders and colleagues
• Knowledgeable with the following platform
• MySQL, MongoDB, HTML, Git, JavaScript, jQuery, CSS, React.js, Node.js
• Validates patching results using metrics and dashboards.
• Ensures exceptions are documented and works with Security on requested exceptions.
• Ensures scanning and monitoring systems are producing consistent results.
• Works with applicable groups to maintain and improve upon configuration management strategies utilizing
•current tooling
Installation, Configuration, Administration and Troubleshooting of ESXi6.x, vSphere
Installation of ESXi server and creation of VMs and install different guest OS, Installation and
administration for window server
Provided stable build environments for product development.
•Creating and deleting and managing user accounts and managing user quotas on the Network.
• Configuring DNS, DHCP, NIS, NFS in Red Hat Linux & other Network Services, Linux kernel, memory upgrades
and swaps area.
•Administration/Configuration of Print Servers/Clients in the Network, planning, configuration and
maintenance of connectivity for servers as well TCP/IP configuration.
Lan/Wan IP generator and configuration of route and switches.
• Assisted in maintaining daily IT support log and creating weekly summary sent to the management.
• Part of a team that was tasked to investigate the logistics of moving the company to a new network
operating platform.
• Assisted in developing personnel training materials.
• Assisted company’s users from multiple locations who called with various IT issues.
Installed and configured Windows computers, LAN, and printers/scanners
Graduated
Certificate Web Developer
Graduated
Graduated


Package org.attoparser.select Description
Handlers for filtering a part or several parts of markup during parsing
in a fast and efficient way.
Handler Implementations
There are two main handlers (implementations of IMarkupHandler
for
markup selection in this package:
BlockSelectorMarkupHandler
-
For selecting entire blocks of markup (i.e.
elements and all the nodes in their subtrees). This can be used, for example, for extracting
fragments of markup during the parsing of the document, in a way so that discarded markup does
never reach higher layers of the document processing infrastructure.
NodeSelectorMarkupHandler
-
For selecting only specific nodes in markup (i.e. not including their subtrees). This can be used
for modifying certain specific tags in markup during parsing, for example by
adding additional attributes to them that are not present in the original parsed markup.
Markup Selector Syntax
Markup selectors used by handlers in this package use a specific syntax with features borrowed from
XPath, CSS and jQuery selectors, in order to provide ease-of-use for most users. Many times there are several
ways to express the same selector, depending on the user's preferences.
For example, all the following equivalent selectors will select every <div> with class
content, in any position in markup:
//div[class='content']
//div[@class='content']
div[class='content']
div[@class='content']
//div.content
div.content
These are the different operations this syntax allows:
Basic selectors
- x
//x
-
Both are equivalent, and mean children of the current node with name x, at any depth in
markup. If a reference resolver is being used, they will also be equivalent to
%x (see below).
- /x
-
Means direct children of the current node with name x.
- x/y
-
Means direct children with name y of elements with name x, being the parent
x elements at any level in markup.
- x//y
-
Means children (at any level) with name y of elements with name x, being the parent
x elements also at any level in markup.
- text()
comment()
cdata()
doctype()
xmldecl()
procinstr()
-
These can be used like x (in the same places) but instead of selecting elements (i.e. tags)
will select, respectively: text nodes, comments, CDATA sections, DOCTYPE clauses, XML Declarations and
Processing Instructions.
- content()
-
This selector can be used for selecting the entire contents of an element (i.e. all its body), including
all texts, comments, elements, etc. inside it. But, note, not the container element itself.
Attribute matching
- x[z='v']
x[z="v"]
x[@z='v']
x[@z="v"]
-
All four equivalent, mean elements with name x and an attribute called z with value
v. Note attribute values can be surrounded by single or double quotes, and attribute names
can be specified with a leading @ (as in XPath) or without it (more similar to jQuery). For
the sake of simplicity, only the single-quoted, no-@ syntax will be used for the rest of
the examples below.
- [z='v']
//[z='v']
-
Means any elements with an attribute called z with value v.
- x[z]
-
Means elements with name x and an attribute called z, with any value.
- x[!z]
-
Means elements with name x and no attribute called z.
- x[z1='v1' and z2='v2']
-
Means elements with name x and attributes z1 and z2 with values
v1 and v2, respectively.
- x[z1='v1' or z2='v2']
-
Means elements with name x and, either an attribute z1 with value
v1, or an attribute z2 with value v2.
- x[z1='v1' and (z2='v2' or z3='v3')]
-
Selects according to the specified attribute complex expression. As can be seen, these expressions
can be parenthesized to introduce a certain evaluation order.
- x[z!='v']
x[z^='v']
x[z$='v']
x[z*='v']
-
Similar to x[z='v'] but applying different operators to attribute matching instead of
equality (=). Respectively: not equal (!=),
starts with (^=), ends with ($=) and
contains (*=).
- x.z
x[class='z']
-
When parsing in HTML mode (and only then), these two selectors will be completely equivalent. Besides,
in this case the selector will look for an x element which has the z class, knowing that
HTML's class attribute allows the specification of several classes separated by white space. So
something like <x class="z y w"> will be matched by this selector.
- x#z
x[id='z']
-
When parsing in HTML mode (and only then), these two selectors will be completely equivalent, matching those
x elements that have an ID with value z.
Index-based matching
- x[i]
-
Means elements with name x positioned in index i among its siblings.
Sibling here means node child of the same parent element, matching the same
conditions (in this case "having x as name"). Note indexes start with
0.
- x[z='v'][i]
-
Means elements with name x, attribute z with value v and positioned in
number i among its siblings (same name, same attribute with that value).
- x[even()]
x[odd()]
-
Means elements with name x positioned in an even (or odd) index among its siblings.
Note even includes the index number 0.
- x[>i]
x[<i]
-
Mean elements with name x positioned in an index greater (or lesser) than i
among its siblings.
- text()[i]
comment()[>i]
-
Applies the specified index-based matching operations to nodes of types other than elements: texts,
comments, CDATA sections, etc.
Reference-based matching
- x%ref
-
Means elements with name x and matching markup selector reference
with value ref. These markup selector references usually have a user-defined
meaning and are resolved to a markup selector without references by means of an instance of the
IMarkupSelectorReferenceResolver
interface passed to the selecting
markup handlers (BlockSelectorMarkupHandler
and
NodeSelectorMarkupHandler
) during construction.
For example, a reference resolver could be
configured that converts (resolves) %someref into
div[class='someref' or id='someref']. Also, the
Thymeleaf template engine uses this mechanism
for resolving %fragmentName (or simply fragmentName, as explained below) into
//[th:fragment='fragmentName' or data-th-fragment='fragmentName'].
- %ref
-
Means any elements (whichever the name) matching reference with value ref.
- ref
-
Equivalent to %ref. When a markup selector reference resolver has been configured,
ref can bean both "element with name x" and
"element matching reference x" (both will match).


mantrap¶
Minimal interferring Interactive Risk-aware Planning for multimodal and time-evolving obstacle behaviour
Description¶
Planning safe human-robot interaction is a necessary towards the widespread integration of autonomous systems in the society. However, while instinctive to humans, socially compliant navigation is still difficult to quantify due to the stochasticity in people’s behaviors. Previous approaches have either strongly simplified the multimodal and time-varying behaviour of humans, applied hardly tractable methods lacking safety guarantees or were simply not computationally feasible. Therefore the goal of this work to develop a risk-aware planning methodology with special regards on minimizing the interaction between human and robot and taking account the actual multi-modality and time-evolving nature of the humans behaviour, based on the Trajectron model (Ivanovic 19).
Documentation: https://simon-schaefer.github.io/mantrap/
Installation¶
For installation clone the repository including it’s submodules:
git clone --recurse-submodules --remote-submodules https://github.com/simon-schaefer/mantrap.git
Next create a virtual environment for Python 3 and install all package requirements by running
source ops/setup.bash
Afterwards install the NLP-solver IPOPT and it’s python wrapper which is called cyipopt:
bash third_party/Ipopt/install.bash
In order to ensure a working Trajectron model the branch online_with_torch
has to be checkout.
Evaluation¶
The evaluation of mantrap is grounded on real-world pedestrian behaviour datasets. While the
ETH Pedestrian datasets and some custom scenarios already have
been integrated, other datasets can be easily added using the mantrap_evaluation dataset API; for more information
regarding this please read mantrap_evaluation/datasets/README
.
Documentation¶
For code documentation the Sphinx engine has been used. For building the
documentation locally setup the project and run make github
in the documentation folder. Then open the
documentation by opening the index.html
file in the resulting documentation build directory.
Running in optimized mode¶
Running python in optimized mode let’s skip all assert
statements and sets the logging level to warning
in order to save runtime.
python3 -O evaluation.py


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This document explains how to create and restore data backups with Vitess. Vitess uses backups for two purposes:
Vitess stores data backups on a Backup Storage service, which is a pluggable interface.
Currently, we have plugins for:
Before you can back up or restore a tablet, you need to ensure that the tablet is aware of the Backup Storage system that you are using. To do so, use the following command-line flags when starting a vttablet that has access to the location where you are storing backups.
| Flags | |
|---|---|
backup_storage_implementation |
Specifies the implementation of the Backup Storage interface to
use. Current plugin options available are:
|
backup_storage_hook |
If set, the contents of every file to backup is sent to a hook. The
hook receives the data for each file on stdin. It should echo the
transformed data to stdout. Anything the hook prints to stderr will
be printed in the vttablet logs. Hooks should be located in the vthook subdirectory of the
VTROOT directory.The hook receives a -operation write or a
-operation read parameter depending on the direction
of the data processing. For instance, write would be for
encryption, and read would be for decryption.
|
backup_storage_compress |
This flag controls if the backups are compressed by the Vitess code.
By default it is set to true. Use
-backup_storage_compress=false to disable.
This is meant to be used with a -backup_storage_hook
hook that already compresses the data, to avoid compressing the data
twice.
|
file_backup_storage_root |
For the file plugin, this identifies the root directory
for backups.
|
gcs_backup_storage_bucket |
For the gcs plugin, this identifies the
bucket
to use. |
s3_backup_aws_region |
For the s3 plugin, this identifies the AWS region. |
s3_backup_storage_bucket |
For the s3 plugin, this identifies the AWS S3
bucket. |
ceph_backup_storage_config |
For the ceph plugin, this identifies the path to a text
file with a JSON object as configuration. The JSON object requires the
following keys: accessKey , secretKey ,
endPoint and useSSL . Bucket name is computed
from keyspace name and shard name and is separate for different
keyspaces / shards. |
restore_from_backup |
Indicates that, when started with an empty MySQL instance, the tablet should restore the most recent backup from the specified storage plugin. |
Note that for the Google Cloud Storage plugin, we currently only support Application Default Credentials. It means that access to Cloud Storage is automatically granted by virtue of the fact that you're already running within Google Compute Engine or Container Engine.
For this to work, the GCE instances must have been created with
the scope that
grants read-write access to Cloud Storage. When using Container Engine, you can
do this for all the instances it creates by adding --scopes storage-rw
to the
gcloud container clusters create
command as shown in the Vitess on Kubernetes
guide.
Run the following vtctl command to create a backup:
vtctl Backup <tablet-alias>
In response to this command, the designated tablet performs the following sequence of actions:
Switches its type to BACKUP
. After this step, the tablet is no
longer used by vtgate to serve any query.
Stops replication, get the current replication position (to be saved in the backup along with the data).
Shuts down its mysqld process.
Copies the necessary files to the Backup Storage implementation that was specified when the tablet was started. Note if this fails, we still keep going, so the tablet is not left in an unstable state because of a storage failure.
Restarts mysqld.
Restarts replication (with the right semi-sync flags corresponding to its original type, if applicable).
Switches its type back to its original type. After this, it will most likely be behind on replication, and not used by vtgate for serving until it catches up.
When a tablet starts, Vitess checks the value of the
-restore_from_backup
command-line flag to determine whether
to restore a backup to that tablet.
As noted in the Prerequisites section, the flag is generally enabled all of the time for all of the tablets in a shard. If Vitess cannot find a backup in the Backup Storage system, it just starts the vttablet as a new tablet.
vttablet ... -backup_storage_implementation=file \
-file_backup_storage_root=/nfs/XXX \
-restore_from_backup
vtctl provides two commands for managing backups:
ListBackups displays the existing backups for a keyspace/shard in chronological order.
vtctl ListBackups <keyspace/shard>
RemoveBackup deletes a specified backup for a keyspace/shard.
RemoveBackup <keyspace/shard> <backup name>
Bootstrapping a new tablet is almost identical to restoring an existing tablet. The only thing you need to be cautious about is that the tablet specifies its keyspace, shard and tablet type when it registers itself at the topology. Specifically, make sure that the following vttablet parameters are set:
-init_keyspace <keyspace>
-init_shard <shard>
-init_tablet_type replica|rdonly
The bootstrapped tablet will restore the data from the backup and then apply changes, which occurred after the backup, by restarting replication.
We recommend to take backups regularly e.g. you should set up a cron job for it.
To determine the proper frequency for creating backups, consider the amount of time that you keep replication logs and allow enough time to investigate and fix problems in the event that a backup operation fails.
For example, suppose you typically keep four days of replication logs and you create daily backups. In that case, even if a backup fails, you have at least a couple of days from the time of the failure to investigate and fix the problem.
The back-up and restore processes simultaneously copy and either compress or decompress multiple files to increase throughput. You can control the concurrency using command-line flags:
-concurrency
flag.-restore_concurrency
flag.If the network link is fast enough, the concurrency matches the CPU usage of the process during the backup or restore process.


AdaptiveSlides.js is created by @viljamis. It's released under the MIT license. If you have any questions or feedback you can use the GitHub project page.


Getting Started
Run Windows Sample (Usb.Net.WindowsSample)
Run the Windows sample. You should see your device's path appear at the top of the console. If it does not, check the logs to find out why it didn't appear.
Modify a Sample
The easiest way to start is to clone this repo that uses Usb.Net or Hid.Net and modify the code to suit your needs. This repo contains a sample for Hid thermometer device and a Trezor Hardware wallet example. If you have trouble getting a sample to compile, please see Build Issues
Clean Project
If you want to start fresh, the easiest way would be to create a .NET Core project on Windows with Visual Studio and add the NuGet packages you require. Please see the NuGet page.
Please see
Device Listener or Enumerating Connected Devices
Writing To and Reading From a Device
For USB, please see USB-Initialization: Interfaces And Endpoints
Example Code:
This is a simple Windows console app.
using Device.Net;
using Hid.Net.Windows;
using Microsoft.Extensions.Logging;
using System.Linq;
using System.Reactive.Linq;
using System.Threading.Tasks;
using Usb.Net.Windows;
namespace Usb.Net.WindowsSample
{
internal class Program
{
private static async Task Main()
{
//Create logger factory that will pick up all logs and output them in the debug output window
var loggerFactory = LoggerFactory.Create((builder) =>
{
_ = builder.AddDebug().SetMinimumLevel(LogLevel.Trace);
});
//----------------------
// This is Windows specific code. You can replace this with your platform of choice or put this part in the composition root of your app
//Register the factory for creating Hid devices.
var hidFactory =
new FilterDeviceDefinition(vendorId: 0x534C, productId: 0x0001, label: "Trezor One Firmware 1.6.x", usagePage: 65280)
.CreateWindowsHidDeviceFactory(loggerFactory);
//Register the factory for creating Usb devices.
var usbFactory =
new FilterDeviceDefinition(vendorId: 0x1209, productId: 0x53C1, label: "Trezor One Firmware 1.7.x")
.CreateWindowsUsbDeviceFactory(loggerFactory);
//----------------------
//Join the factories together so that it picks up either the Hid or USB device
var factories = hidFactory.Aggregate(usbFactory);
//Get connected device definitions
var deviceDefinitions = (await factories.GetConnectedDeviceDefinitionsAsync().ConfigureAwait(false)).ToList();
if (deviceDefinitions.Count == 0)
{
//No devices were found
return;
}
//Get the device from its definition
var trezorDevice = await hidFactory.GetDeviceAsync(deviceDefinitions.First()).ConfigureAwait(false);
//Initialize the device
await trezorDevice.InitializeAsync().ConfigureAwait(false);
//Create the request buffer
var buffer = new byte[65];
buffer[0] = 0x00;
buffer[1] = 0x3f;
buffer[2] = 0x23;
buffer[3] = 0x23;
//Write and read the data to the device
var readBuffer = await trezorDevice.WriteAndReadAsync(buffer).ConfigureAwait(false);
}
}
}


Student Registration Form
Name
Father Name
Postal Address
Personal Address
Sex
Male
Female
City
select..
Nagpur
Mumbai
Amravati
Akola
Course
select..
B.TECH
BE
MBA
ME
District
select..
Nagpur
Mumbai
Amravati
Akola
State
select..
NEW DELHI
Maharashtra
GOA
UP
PinCode
EmailId
DOB
MobileNo


Index[SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [X] [Z] Queue class combining GUIs and asynchronous I/O with threads coordinating pool of worker threads specializing priority values of threads quicksort algorithm 2nd implementing in three lines of code Quixote |


Vyapam Scam: 31 Convicted by CBI Court, Quantum of Punishment on Nov 25
Special Judge SB Sahu of the CBI court will announce the quantum of punishment for the convicts on November 25.
New Delhi: In a significant development to the Vyapam recruitment and admission scam, a CBI court in Madhya Pradesh convicted 31 people on Thursday. Special Judge SB Sahu of the CBI court will announce the quantum of punishment for the convicts on November 25. The CBI which was probing the matter had charge-sheeted all the convicts including 12 imposters and seven middlemen on different counts.
The accused, however, after coming out of the court premises said that they are innocent in the matter.
As per updates from Special Public Prosecutor Satish Dinkar, a Special Task Force was first constituted to investigate the Vyapam scam. The probe was based on a case registered at Rajendra Nagar Police Station in Bhopal.
The Vyapam scam, involving politicians, senior officials and businessmen in the Madhya Pradesh Professional Examination Board (MPPEB), which surfaced in 2013 pertains to alleged irregularities in the PMT-2013 examination conducted by the MPPEB.
The whole scam refers to irregularities in exams held by the MPPEB for admission in professional courses and state services over several years.
The prosecution produced 91 witnesses and evidence to nail the culprits for cheating by personation, cheating, dishonesty, forgery, forgery for cheating and forging documents under IPC sections 419, 420, 467, 468 and 471, Dinkar said.
For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on India Latest News on India.com.
Story Timeline
- 09 Apr 2019 Modi Has Forgotten Vyapam Scam, Nothing Will be Found in IT Raids: Kamal Nath Hits Backs at PM
- 15 Mar 2019 Chhattisgarh Vyavsayik Shiksha Mandal Releases Exam Schedule 2019; Check at cgvyapam.choice.gov.in
- 19 Jan 2019 Vyapam scam: Charge sheet filed against accused
Comments - Join the Discussion


Police ID woman, 21, who died in multicar crash in Taunton
by EndPlayTAUNTON, Mass. - Police said Nicole Dondero, 21, of Lakeville, died at the scene in last night's multicar crash in Taunton that also injured three others.
State Police said that around 9:15 p.m., a Plymouth woman, 33, was driving on Route 140 northbound when her 2005 GMC Envoy collided with a 2013 Chrysler 200 that was turning left from Route 140 southbound to enter the ramp for Route 24 northbound.
Related Headlines
The Plymouth woman and her 35-year-old male passenger were taken to Morton Hospital with minor injuries. The driver of the other car, a 22-year-old Acushnet man, was also brought to Morton Hospital with serious injuries.
Police are investigating the crash. No charges have been filed.


--- layout: default title: research ---
My research takes the position that listeners are sensitive to patterns of covariation in speech —that knowing these subtle patterns is part of what it means to truly know a language.
Which is great because if people sound the way we expect them to, we're able to understand them better (McGowan, 2015; 2012 LSA presentation)
even if our expectations are based on stereotypes rather than authentic experience (McGowan, in press).
So does all this knowledge and sensitivity only apply to social variation?
First, some quick background on how sounds like [p], [t], and [k] differ from sounds like [b], [d], and [g] at the beginning of English words like pit and bit. What word is this native American English speaker saying?
At least in American English, that puff of air is so important that cutting it out of pit (that first sound you played) results in a word that sounds a lot like bit —though probably with a funny [b], and that funniness is every bit as interesting and important as the change from [p] to [b]!
In fact, removing most of the VOT from [p], [t], and [k] words makes them less useful to listeners (shortest green bar) in slow (Citation) speech, but if the rest of the word is spoken quickly the short VOT sounds fine (Fast speech, on the right) (abstract).
Another covarying feature is the way vowels before nasal consonants in English tend to be nasalized. Listeners can use this as soon as it becomes available, not only a large distinction like bend/bed...
but also a much more subtle distinction like the difference in nasalization between these two sound files. Can you hear a difference?
In an eye tracking task we found that listeners can use nasalization as soon as it is present. Looks to the heavily-nasalized word were, on average, 60 ms faster —the same average difference between early and late nasalization in the recordings (Beddor, McGowan, Boland, Coetzee, and Brasher, 2013).
Whether the information is social, contextual, articulatory, or idiosyncratic, we humans have an astonishing ability to attend to it, remember it, and activate it during perception. This ability, my research suggests, is not irrelevant to linguistic competence or even peripheral to it, it is fundamentally and centrally part of what it means to know and speak a human language.
Thank you for reading! If you have any questions, please contact me via e-mail, twitter, or carrier pigeon.
And many, many thanks to my friend M.C. Nee for turning me into this cartoon.


| 006:099 Khan | : |
It is He Who sends down water (rain) from the sky, and with it We bring forth vegetation of all kinds, and out of it We bring forth green stalks, from which We bring forth thick clustered grain. And out of the date-palm and its spathe come forth clusters of dates hanging low and near, and gardens of grapes, olives and pomegranates, each similar (in kind) yet different (in variety and taste). Look at their fruits when they begin to bear, and the ripeness thereof. Verily! In these things there are signs for people who believe. |
| 006:099 Maulana | : |
And He it is Who sends down water from the clouds, then We bring forth with it buds of all (plants), then We bring forth from it green (foliage), from which We produce clustered grain; and of the date-palm, of the sheaths of it, come forth clusters (of dates) within reach; and gardens of grapes and the olive and the pomegranate, alike and unlike. Look at the fruit of it when it bears fruit and the ripening of it. Surely there are signs in this for a people who believe! |
| 006:099 Pickthal | : |
He it is Who sendeth down water from the sky, and therewith We bring forth buds of every kind; We bring forth the green blade from which We bring forth the thick-clustered grain; and from the date-palm, from the pollen thereof, spring pendant bunches; and (We bring forth) gardens of grapes, and the olive and the pomegranate, alike and unlike. Look upon the fruit thereof, when they bear fruit, and upon its ripening. Lo! herein verily are portents for a people who believe. |
| 006:099 Rashad | : |
He is the One who sends down from the sky water, whereby we produce all kinds of plants. We produce from the green material multitudes of complex grains, palm trees with hanging clusters, and gardens of grapes, olives and pomegranate; fruits that are similar, yet dissimilar. Note their fruits as they grow and ripen. These are signs for people who believe. |
| 006:099 Sarwar | : |
It is He who has sent water down from the sky to let all kinds of plants grow; the vegetables with accumulated grains; palm-trees from which appear clusters of dates within easy reach; vineyards, olive groves, and pomegranates of all types. See the fruits when they are growing and when they are ripe. This, too, is evidence (of the existence of God) for those who believe. |
| 006:099 Shakir | : |
And He it is Who sends down water from the cloud, then We bring forth with it buds of all (plants), then We bring forth from it green (foliage) from which We produce grain piled up (in the ear); and of the palm-tree, of the sheaths of it, come forth clusters (of dates) within reach, and gardens of grapes and olives and pomegranates, alike and unlike; behold the fruit of it when it yields the fruit and the ripening of it; most surely there are signs in this for a people who believe. |
| 006:099 Sherali | : |
And HE it is Who sends down water from the cloud; And WE bring forth therewith every kind of growth; then WE bring forth with that green foliage wherefrom WE produce clustered grain. And from the date-palm, out of its sheaths comes forth bunches hanging low. And WE produce therewith gardens of grapes, and the olive and the pomegranate - like and unlike. Look at the fruit thereof when it bears fruit, and the ripening thereof. Surely, in this are Signs for a people who believe. |
| 006:099 Yusufali | : |
It is He Who sendeth down rain from the skies: with it We produce vegetation of all kinds: from some We produce green (crops), out of which We produce grain, heaped up (at harvest); out of the date-palm and its sheaths (or spathes) (come) clusters of dates hanging low and near: and (then there are) gardens of grapes, and olives, and pomegranates, each similar (in kind) yet different (in variety): when they begin to bear fruit, feast your eyes with the fruit and the ripeness thereof. Behold! in these things there are signs for people who believe. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > وحدانيته Pillars of Islam> Islamic> Oneness of Allah> Singularity and Being Unique التجارة و الزراعة و الصناعة و الصيد > الزارعة Trade, Agriculture, Industry and Hunting>Agriculture العلوم والفنون > الحقائق العلمية و الإشاة إلى وقائع أيدتهاالإكتشافات العلمية > الزراعة Science and Art> The Scientific Facts and the Indication to Facts which have been supported by the Scientific Discoveries>Agriculture
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


as.data.frame.survfit.Rd
This function returns a data frame containing following variables derived from a survfit object. Extends the S3 survfit class.
t - Time
s - KM Survival estimate
c - Censoring indicator - 0 is censored, 1 is event
strata - character description of strata that survival estimates are for
Plus all strata variables
# S3 method for survfit as.data.frame(x)
| x | survfit object (survival) |
|---|
#> t s c strata x #> 1 0 1.00000000 0 x=Maintained Maintained #> 2 9 0.90909091 0 x=Maintained Maintained #> 3 13 0.81818182 1 x=Maintained Maintained #> 4 18 0.71590909 0 x=Maintained Maintained #> 5 23 0.61363636 0 x=Maintained Maintained #> 6 28 0.61363636 1 x=Maintained Maintained #> 7 31 0.49090909 0 x=Maintained Maintained #> 8 34 0.36818182 0 x=Maintained Maintained #> 9 45 0.36818182 1 x=Maintained Maintained #> 10 48 0.18409091 0 x=Maintained Maintained #> 11 161 0.18409091 1 x=Maintained Maintained #> 12 0 1.00000000 0 x=Nonmaintained Nonmaintained #> 13 5 0.83333333 0 x=Nonmaintained Nonmaintained #> 14 8 0.66666667 0 x=Nonmaintained Nonmaintained #> 15 12 0.58333333 0 x=Nonmaintained Nonmaintained #> 16 16 0.58333333 1 x=Nonmaintained Nonmaintained #> 17 23 0.48611111 0 x=Nonmaintained Nonmaintained #> 18 27 0.38888889 0 x=Nonmaintained Nonmaintained #> 19 30 0.29166667 0 x=Nonmaintained Nonmaintained #> 20 33 0.19444444 0 x=Nonmaintained Nonmaintained #> 21 43 0.09722222 0 x=Nonmaintained Nonmaintained #> 22 45 0.00000000 0 x=Nonmaintained Nonmaintained


Our team started collaborating 5 years ago. The experience and creativity of each member is the driving force of innovation and we are proud for it!
If you want to know more about us, feel free to contact us via email!
F@zzyLogix
The future is already here!
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The wheel behind everything
Our team started collaborating 5 years ago. The experience and creativity of each member is the driving force of innovation and we are proud for it!
If you want to know more about us, feel free to contact us via email!
Here is where you can find us
Email<EMAIL_ADDRESS>Mobile: +00 123456789
Address: SomeWhere in Center, 12345, City, Country


P.S. Rajan appointed CEO of Kerala Bank
by Special CorrespondentThe government has decided to appoint P.S. Rajan, general manager, Union Bank of India as CEO, Kerala Bank.
The Cabinet which met here on Thursday decided to appoint M. Kausigan as Land Board Secretary with additional charge of Joint Commissioner, Land Revenue. Mr. Kausigan is currently Managing Director, Kerala Water Authority. Water Resources Secretary B. Ashok has been given additional charge of MD, KWA.
Project Director of KSTP Rajamanikyam will hold additional charge of MD, KSIDC.
The Cabinet accorded administrative sanction for the construction of a finger jetty on the Gopalapetta side of the Thalassery fishing harbour. The project estimated to cost ₹5.23 crore would enable traditional fishermen to berth their boats safely.
It also approved a draft amendment bringing labelling workers also into the ambit of the Abkari Workers Welfare Fund Act.


[gecode-users] Peak memory and recomputation
Christian Schulte
schulte at imit.kth.se
Fri Mar 31 21:05:44 CEST 2006
What values did you use for a_d: adaptive recomputation might kick in an use
some memory for intermediate copies? For a discussion of that see my PhD
thesis ;-)
All the best
Christian
--
Christian Schulte, http://web.imit.kth.se/~schulte/
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Grégoire Dooms
Sent: Friday, March 31, 2006 4:35 PM
To: users at gecode.org
Subject: [gecode-users] Peak memory and recomputation
Hello,
I have observed the following effect which seems counter-intuitive to
me: Using less recomputation can save memory.
Can you help me figure out what happens ?
The attached file models this simple problem using sets: generate all
subgraphs of a complete labeled digraph (with loops).
The following runs are done with increasing fixed recomputation
distance, very high (1000) adaptive distance and size 3.
The depth of the search tree is from 9 to 12 (depending on the solutions).
I observe that with c_d = 4, the peak memory is much lower than with 3
and 5:
When running it with -c_d 3, I get:
Summary
runtime: 10
solutions: 567
propagations: 2449
failures: 0
clones: 566
commits: 1548
peak memory: 9 KB
With -c_d 4 :
Summary
runtime: 0
solutions: 567
propagations: 3167
failures: 0
clones: 566
commits: 1848
peak memory: 1 KB
With -c_d 5 :
Summary
runtime: 10
solutions: 567
propagations: 3648
failures: 0
clones: 566
commits: 1935
peak memory: 8 KB
Best,
--
Grégoire Dooms
More information about the gecode-users
mailing list


Welcome to Whether Forecast! We're here to give you advice on whether you should wear flip flops or rain boots, eat a picnic sandwiches or a hearty stew, relax at home or venture outside. Whether Forecast uses real-time weather data to help you find the best things to do, wear, and eat.
Whether Forecast was created by Geirthana Sivagnanalingam, Christina Liu, Jule Schatz, and Mary Douglass Baum during MHacks at the University of Michigan in February 2016.


Request your GDS Service Assessment
You can request and select a date for your GDS service assessment.
The service assessment will evaluate your service against all 18 points of the Digital Service Standard.
If you are unsure whether your service needs a GDS service assessment, you can check the Service Manual for full details. For internal assessments, contact your department’s digital lead or assessment lead. For reassessments or any other request email the GDS Assessment Team.


|
tesseract
5.0.0-alpha-619-ge9db
|
#include <cctype>
#include <climits>
#include <cmath>
#include <cstdarg>
#include <cstddef>
#include <cstdint>
#include <cstdio>
#include <cstring>
#include <limits>
#include "scanutils.h"
Go to the source code of this file.
Enumerations | |
| enum | Flags { FL_SPLAT = 0x01, FL_INV = 0x02, FL_WIDTH = 0x04, FL_MINUS = 0x08 } |
| enum | Ranks { RANK_CHAR = -2, RANK_SHORT = -1, RANK_INT = 0, RANK_LONG = 1, RANK_LONGLONG = 2, RANK_PTR = std::numeric_limits<int>::max() } |
| enum | Bail { BAIL_NONE = 0, BAIL_EOF, BAIL_ERR } |
Functions | |
| size_t | LongBit () |
| int | tfscanf (FILE *stream, const char *format,...) |
Variables | |
| enum Ranks | kMinRank = RANK_CHAR |
| enum Ranks | kMaxRank = RANK_LONGLONG |
| enum Ranks | kIntMaxRank = RANK_LONGLONG |
| enum Ranks | kSizeTRank = RANK_LONG |
| enum Ranks | kPtrDiffRank = RANK_LONG |
| enum Bail |
| Enumerator | |
|---|---|
| BAIL_NONE | |
| BAIL_EOF | |
| BAIL_ERR |
Definition at line 54 of file scanutils.cpp.
| enum Flags |
| enum Ranks |
| Enumerator | |
|---|---|
| RANK_CHAR | |
| RANK_SHORT | |
| RANK_INT | |
| RANK_LONG | |
| RANK_LONGLONG | |
| RANK_PTR |
Definition at line 38 of file scanutils.cpp.
|
inline |
Definition at line 61 of file scanutils.cpp.
| int tfscanf | ( | FILE * | stream, |
| const char * | format, | ||
| ... | |||
| ) |
fscanf variant to ensure correct reading regardless of locale.
tfscanf parse a file stream according to the given format. See the fscanf manpage for more information, as this function attempts to mimic its behavior.
Definition at line 181 of file scanutils.cpp.
| enum Ranks kIntMaxRank = RANK_LONGLONG |
Definition at line 50 of file scanutils.cpp.
| enum Ranks kMaxRank = RANK_LONGLONG |
Definition at line 48 of file scanutils.cpp.
Definition at line 47 of file scanutils.cpp.
Definition at line 52 of file scanutils.cpp.
Definition at line 51 of file scanutils.cpp.


Duration
10 minutes
Goals
The primary goal of this lab will be to add support for cell-reuse into our GetCell
methods.
Required assets
There is a completed solution in the Exercise 5 folder. In addition, if you did not complete the prior exercise, you can use the completed solution from that exercise as a starting point here.
Challenge
You will be continuing from the prior exercise and adding code to your GetCell
implementations to support cell reuse.
You can make the changes in either the code-based TableView, the TableViewController, or both.
The instructions and the completed solution has it implemented for both.
Here are the high-level steps you will need to perform:
- Assign a reuse identifier - this is just a unique string. We only need one since we only have one cell style.
-
Use the
UITableView.DequeReusableCell
method to retrieve a cell. -
In the code-based approach, where we don't have a storyboard-defined prototype cell, check for
null
and create theUITableViewCell
in response - passing the reuse identifier to the constructor. - In the Storyboard approach, assign the reuse identifier to the prototype cell in the designer to register it with the system.
- Initialize the cell properly based on whether it's a new cell or a reused cell.
Steps
Below are the step-by-step instructions to implement the exercise.
Adding reuse support to a code-based Table View
We will start with the code-based approach where we have a UITableViewSource
defined.
-
Open the source file with your
UITableViewSource
implementation and locate theGetCell
method - this is where all our code changes will need to be performed. - First, define a constant string (the completed solution uses "EmailCell") to be used as your cell reuse identifier. Since we will need to repeat this in a few places, using a constant is a good practice.
-
Next, add a call at the top of the method to
UITableView.DequeReusableCell
, passing the reuse identifier. If it returnsnull
, then use your existing code to create the cell instead, but pass the same reuse identifier to the constructor's second parameter (instead ofnull
). - Since we only need to set the fonts, colors, and accessory views when we create the cell initially, move that logic into the creation section where we did not get a cell back from the system. Only the dynamic values which change on a row-by-row basis must be done every time.
-
To get the Table View to start reusing cells, we need a larger data set (i.e. more emails so we can scroll and trigger cell reuse).
Modify the call to the
EmailServer
constructor and pass in 1000 - it defaults to only 10 messages. - Run the application. You shouldn't see any change to the behavior; however, on a physical device with a lot of emails, it will likely run more smoothly due to the cell reuse.
-
One last optimization we should make: we currently assign an image each time, but now that the cells are being reused, we are leaving the old images around
for the garbage collector to deal with. These might represent large resources (they don't really right now), so we should free them as soon as we are done with them.
If the cell was returned by the
DequeReusableCell
call, then check to see if theImageView.Image
property is non-null and if so, callDispose
on it. You can check the code hint below for the final method implementation.
Adding reuse support to a Storyboard based cell
Let's make the same changes to our Storyboard approach. The key difference here is that the cell will be inflated by the system automatically because the reuse identifier is assigned to the Storyboard cell.
- Open the Main.storyboard file.
- Set the storyboard-based View Controller as the initial View Controller. Recall that an easy way to do this is to drag the "handle" from its current position next to the code-based View Controller so it points to the storyboard-based View Controller.
- Open the Main.storyboard and select the prototype cell in the Table View Controller - just click on the white rectangle at the top of the Table View.
- In the Properties, set the Identifier value to "EmailCell".
- With the cell still selected, change the Style to be Subtitle - this is what we were doing before in code, but now we'll use the designer to make the same changes.
-
The cell should now have two labels in it - you can select each label and set the fonts and colors here in the designer.
- For the title, use 14pt Helvetica Light.
- For the subtitle, use 12pt Helvetica Light in a light-gray color.
-
Open the TableViewController.cs source file and locate the
GetCell
method - this is where all our code changes will need to be performed. -
Start by adding a call at the top of the method to
UITableView.DequeReusableCell
, passing the reuse identifier. You can use the same constant string you defined earlier, or re-define it here ("EmailCell"), or just use the literal string in the call. We only need it once in the code with this approach. - You can remove all the code which sets colors and fonts - the storyboard will do that when it inflates the cell.
-
You do need the code that locates the correct EmailItem and loads the data into the appropriate views. If you don't have that code in this
implementation, you can copy it from the code-behind version of your
GetCell
method. -
Modify your call to the
EmailServer
constructor and pass in "1000". - As before, we should dispose the image - in this case we can just check for a non-null image and dispose it, no need to test the cell.
- The final method implementation is in the below code hint.
- Run the application. You shouldn't see any change to the data presentation since this is a performance optimization.
Summary
In this exercise, you have optimized the implementation of the two GetCell
methods to support cell reuse.


|
Halide
12.0.0
|
Routines specific to the Halide Metal runtime. More...
#include "HalideRuntime.h"
Go to the source code of this file.
Macros | |
| #define | HALIDE_RUNTIME_METAL |
Functions | |
| const struct halide_device_interface_t * | halide_metal_device_interface () |
| int | halide_metal_initialize_kernels (void *user_context, void **state_ptr, const char *src, int size) |
| These are forward declared here to allow clients to override the Halide Metal runtime. More... | |
| void | halide_metal_finalize_kernels (void *user_context, void *state_ptr) |
| int | halide_metal_run (void *user_context, void *state_ptr, const char *entry_name, int blocksX, int blocksY, int blocksZ, int threadsX, int threadsY, int threadsZ, int shared_mem_bytes, size_t arg_sizes[], void *args[], int8_t arg_is_buffer[], int num_attributes, float *vertex_buffer, int num_coords_dim0, int num_coords_dim1) |
| int | halide_metal_wrap_buffer (void *user_context, struct halide_buffer_t *buf, uint64_t buffer) |
| Set the underlying MTLBuffer for a halide_buffer_t. More... | |
| int | halide_metal_detach_buffer (void *user_context, struct halide_buffer_t *buf) |
| Disconnect a halide_buffer_t from the memory it was previously wrapped around. More... | |
| uintptr_t | halide_metal_get_buffer (void *user_context, struct halide_buffer_t *buf) |
| Return the underlying MTLBuffer for a halide_buffer_t. More... | |
| uint64_t | halide_metal_get_crop_offset (void *user_context, struct halide_buffer_t *buf) |
| Returns the offset associated with the Metal Buffer allocation via device_crop or device_slice. More... | |
| int | halide_metal_acquire_context (void *user_context, struct halide_metal_device **device_ret, struct halide_metal_command_queue **queue_ret, bool create) |
| This prototype is exported as applications will typically need to replace it to get Halide filters to execute on the same device and command queue used for other purposes. More... | |
| int | halide_metal_release_context (void *user_context) |
| This call balances each successfull halide_metal_acquire_context call. More... | |
Routines specific to the Halide Metal runtime.
Definition in file HalideRuntimeMetal.h.
| #define HALIDE_RUNTIME_METAL |
Definition at line 19 of file HalideRuntimeMetal.h.
| const struct halide_device_interface_t* halide_metal_device_interface | ( | ) |
| int halide_metal_initialize_kernels | ( | void * | user_context, |
| void ** | state_ptr, | ||
| const char * | src, | ||
| int | size | ||
| ) |
These are forward declared here to allow clients to override the Halide Metal runtime.
Do not call them.
| void halide_metal_finalize_kernels | ( | void * | user_context, |
| void * | state_ptr | ||
| ) |
| int halide_metal_run | ( | void * | user_context, |
| void * | state_ptr, | ||
| const char * | entry_name, | ||
| int | blocksX, | ||
| int | blocksY, | ||
| int | blocksZ, | ||
| int | threadsX, | ||
| int | threadsY, | ||
| int | threadsZ, | ||
| int | shared_mem_bytes, | ||
| size_t | arg_sizes[], | ||
| void * | args[], | ||
| int8_t | arg_is_buffer[], | ||
| int | num_attributes, | ||
| float * | vertex_buffer, | ||
| int | num_coords_dim0, | ||
| int | num_coords_dim1 | ||
| ) |
| int halide_metal_wrap_buffer | ( | void * | user_context, |
| struct halide_buffer_t * | buf, | ||
| uint64_t | buffer | ||
| ) |
Set the underlying MTLBuffer for a halide_buffer_t.
This memory should be allocated using newBufferWithLength:options or similar and must have an extent large enough to cover that specified by the halide_buffer_t extent fields. The dev field of the halide_buffer_t must be NULL when this routine is called. This call can fail due to running out of memory or being passed an invalid buffer. The device and host dirty bits are left unmodified.
| int halide_metal_detach_buffer | ( | void * | user_context, |
| struct halide_buffer_t * | buf | ||
| ) |
Disconnect a halide_buffer_t from the memory it was previously wrapped around.
Should only be called for a halide_buffer_t that halide_metal_wrap_buffer was previously called on. Frees any storage associated with the binding of the halide_buffer_t and the buffer, but does not free the MTLBuffer. The dev field of the halide_buffer_t will be NULL on return.
| uintptr_t halide_metal_get_buffer | ( | void * | user_context, |
| struct halide_buffer_t * | buf | ||
| ) |
Return the underlying MTLBuffer for a halide_buffer_t.
This buffer must be valid on an Metal device, or not have any associated device memory. If there is no device memory (dev field is NULL), this returns 0.
| uint64_t halide_metal_get_crop_offset | ( | void * | user_context, |
| struct halide_buffer_t * | buf | ||
| ) |
Returns the offset associated with the Metal Buffer allocation via device_crop or device_slice.
| int halide_metal_acquire_context | ( | void * | user_context, |
| struct halide_metal_device ** | device_ret, | ||
| struct halide_metal_command_queue ** | queue_ret, | ||
| bool | create | ||
| ) |
This prototype is exported as applications will typically need to replace it to get Halide filters to execute on the same device and command queue used for other purposes.
The halide_metal_device is an id <MTLDevice> and halide_metal_command_queue is an id <MTLCommandQueue>. No reference counting is done by Halide on these objects. They must remain valid until all off the following are true:
| int halide_metal_release_context | ( | void * | user_context | ) |
This call balances each successfull halide_metal_acquire_context call.
If halide_metal_acquire_context is replaced, this routine must be replaced as well.


| Class and Description |
|---|
| Localization |
| Position |
| Class and Description |
|---|
| Localization |
| Position |
| Class and Description |
|---|
| Algorithm |
| AlgorithmProvider |
| AlgorithmProvider.METHOD |
| Device |
| Fingerprint |
| Localization |
| LocalizationSpamReport |
| Position |
| PositionSpamReport |
| Post |
| Provider |
| Role |
| Task |
| Task.STATE |
| Training |
| TrainingStatus |
| Class and Description |
|---|
| AlgorithmProvider.METHOD |
| Fingerprint |
| Class and Description |
|---|
| Algorithm |
| AlgorithmProvider |
| Device |
| Fingerprint |
| Localization |
| LocalizationSpamReport |
| Position |
| PositionSpamReport |
| Post |
| Prediction |
| Provider |
| Role |
| Task |
| Training |
| Class and Description |
|---|
| Algorithm |
| AlgorithmProvider |
| Device |
| Fingerprint |
| Localization |
| LocalizationSpamReport |
| Position |
| PositionSpamReport |
| Post |
| Prediction |
| Provider |
| Role |
| Task |
| Training |
| Class and Description |
|---|
| Algorithm |
| AlgorithmProvider |
| Device |
| Feedback |
| Fingerprint |
| Localization |
| Position |
| Post |
| Prediction |
| Provider |
| Class and Description |
|---|
| Localization |
| Class and Description |
|---|
| Algorithm |
| Device |
| Feedback |
| Localization |
| Provider |
| Task |
| Class and Description |
|---|
| Feedback |
| Task |


Jeon may refer to:
- Jeon (Korean name), a Korean surname.
- Jen, common of Jeon, Jun, Jurn
- Jen, surname of Shaoxing, Minnan, Taiwan
- Zhen, surname, word of China-Korea
- Jeon (food), a Korean pancake.
- Jeon or chŏn, a subunit of the North Korean won and various former Korean currencies including the Old South Korean won, the Korean won, and the Korean yang
People with the surname
- Chun Doo-hwan, South Korean politician, a president of South Korea
- Jun Ji-hyun, South Korean actress
- Jeon Do-yeon, South Korean actress
- Ha Ji-won (born Jeon Hae-rim), South Korean actress
- Jeon Hye-bin, South Korean actress and singer
- Jeon Ji-yoon, South Korean singer, a member of the South Korean girl group 4minute
- Jeon Boram, South Korean singer, a member of the South Korean girl group T-ara
- Jun Jae-youn, South Korean badminton player
- Jeon Yeo-ok, South Korean politician
- Jun Hyoseong, South Korean singer, a member of the South Korean girl group Secret
- Jeon Sang-guk, South Korean author
See also
{{Disambig}}


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by NairametricsBusiness Half Hour (BHH Podcast) is a weekly podcast targeted at Startups and Entrepreneurs who are redefining the Nigerian business scene through innovation.
On this episode of the BHH Podcast, Bukola and Taiwo had Ayuli Jemide Lead Partner Detail Solicitor discuss Keys to running a successful business


|
Xenomai
3.0.4
|
POSIXish condition variable mechanism. More...
Data Structures | |
| struct | RT_COND_INFO |
| Condition variable status descriptor. More... | |
Functions | |
| int | rt_cond_create (RT_COND *cond, const char *name) |
| Create a condition variable. More... | |
| int | rt_cond_delete (RT_COND *cond) |
| Delete a condition variable. More... | |
| int | rt_cond_signal (RT_COND *cond) |
| Signal a condition variable. More... | |
| int | rt_cond_broadcast (RT_COND *cond) |
| Broadcast a condition variable. More... | |
| int | rt_cond_wait_timed (RT_COND *cond, RT_MUTEX *mutex, const struct timespec *abs_timeout) |
| Wait on a condition variable. More... | |
| static int | rt_cond_wait_until (RT_COND *cond, RT_MUTEX *mutex, RTIME timeout) |
| Wait on a condition variable (with absolute scalar timeout). More... | |
| static int | rt_cond_wait (RT_COND *cond, RT_MUTEX *mutex, RTIME timeout) |
| Wait on a condition variable (with relative scalar timeout). More... | |
| int | rt_cond_inquire (RT_COND *cond, RT_COND_INFO *info) |
| Query condition variable status. More... | |
| int | rt_cond_bind (RT_COND *cond, const char *name, RTIME timeout) |
| Bind to a condition variable. More... | |
| int | rt_cond_unbind (RT_COND *cond) |
| Unbind from a condition variable. More... | |
POSIXish condition variable mechanism.
A condition variable is a synchronization mechanism which allows tasks to suspend execution until some predicate on some arbitrary shared data is satisfied.
The basic operations on conditions are: signal the condition (when the predicate becomes true), and wait for the condition, blocking the task execution until another task signals the condition. A condition variable must always be associated with a mutex, to avoid a well-known race condition where a task prepares to wait on a condition variable and another task signals the condition just before the first task actually waits on it.
| int rt_cond_bind | ( | RT_COND * | cond, |
| const char * | name, | ||
| RTIME | timeout | ||
| ) |
Bind to a condition variable.
This routine creates a new descriptor to refer to an existing condition variable identified by its symbolic name. If the object not exist on entry, the caller may block until a condition variable of the given name is created.
| cond | The address of a condition variable descriptor filled in by the operation. Contents of this memory is undefined upon failure. |
| name | A valid NULL-terminated name which identifies the condition variable to bind to. This string should match the object name argument passed to rt_cond_create(). |
| timeout | The number of clock ticks to wait for the registration to occur (see note). Passing TM_INFINITE causes the caller to block indefinitely until the object is registered. Passing TM_NONBLOCK causes the service to return immediately without waiting if the object is not registered on entry. |
| int rt_cond_broadcast | ( | RT_COND * | cond | ) |
Broadcast a condition variable.
All tasks currently waiting on the condition variable are immediately unblocked.
| cond | The condition variable descriptor. |
| int rt_cond_create | ( | RT_COND * | cond, |
| const char * | name | ||
| ) |
Create a condition variable.
Create a synchronization object which allows tasks to suspend execution until some predicate on shared data is satisfied.
| cond | The address of a condition variable descriptor which can be later used to identify uniquely the created object, upon success of this call. |
| name | An ASCII string standing for the symbolic name of the condition variable. When non-NULL and non-empty, a copy of this string is used for indexing the created condition variable into the object registry. |
| int rt_cond_delete | ( | RT_COND * | cond | ) |
Delete a condition variable.
This routine deletes a condition variable object previously created by a call to rt_cond_create().
| cond | The condition variable descriptor. |
| int rt_cond_inquire | ( | RT_COND * | cond, |
| RT_COND_INFO * | info | ||
| ) |
Query condition variable status.
This routine returns the status information about the specified condition variable.
| cond | The condition variable descriptor. |
| info | A pointer to the returnbuffer" to copy the information to. |
| int rt_cond_signal | ( | RT_COND * | cond | ) |
Signal a condition variable.
If the condition variable cond is pended, this routine immediately unblocks the first waiting task (by queuing priority order).
| cond | The condition variable descriptor. |
| int rt_cond_unbind | ( | RT_COND * | cond | ) |
Unbind from a condition variable.
| cond | The condition variable descriptor. |
This routine releases a previous binding to a condition variable. After this call has returned, the descriptor is no more valid for referencing this object.
|
inlinestatic |
Wait on a condition variable (with relative scalar timeout).
This routine is a variant of rt_cond_wait_timed() accepting a relative timeout specification expressed as a scalar value.
| cond | The condition variable descriptor. |
| mutex | The address of the mutex serializing the access to the shared data. |
| timeout | A delay expressed in clock ticks. |
| int rt_cond_wait_timed | ( | RT_COND * | cond, |
| RT_MUTEX * | mutex, | ||
| const struct timespec * | abs_timeout | ||
| ) |
Wait on a condition variable.
This service atomically releases the mutex and blocks the calling task, until the condition variable cond is signaled or a timeout occurs, whichever comes first. The mutex is re-acquired before returning from this service.
| cond | The condition variable descriptor. |
| mutex | The address of the mutex serializing the access to the shared data. |
| abs_timeout | An absolute date expressed in clock ticks, specifying a time limit to wait for the condition variable to be signaled (see note). Passing NULL causes the caller to block indefinitely. |
|
inlinestatic |
Wait on a condition variable (with absolute scalar timeout).
This routine is a variant of rt_cond_wait_timed() accepting an abs_timeout specification expressed as a scalar value.
| cond | The condition variable descriptor. |
| mutex | The address of the mutex serializing the access to the shared data. |
| abs_timeout | An absolute date expressed in clock ticks. |


this is a demo for pyreveal is this here
hello world
testing the notes, press S on your keyboard
going right again
and down


I almost gave up on my goals during the early days of MAVIN – Don Jazzy
by Damilola IsmailMavin Boss, Don Jazzy has revealed that he almost gave up on his project MAVIN at its early stage.
Don Jazzy took to his social media page to disclose how fed up he was pushing Mavin Records which had artistes like Tiwa Savage, Dr. Sid, D’Prince and Wande Coal but had to keep going without giving up.
He wrote;
Everyone has their goal. I almost gave up on mine in the early days of MAVIN. As you can see in this throwback pic. I looked fed up lol 😂 . But man had to keep pushing. May you reap the rewards of all your hard work last last o 🙏🏾 #JustLikeBurna
The post was definitely a motivation to his followers who appreciated it. See some comments below..
This message was for me. Spoke directly to my soul.  I key into this. I key into this. I receive strength again and this time I will push till I breakthrough. Thank you for this message Sir. – @olawalesmd
I swear one has to stay very strong till ur hustle pays..no matter d ups and downs u just ve to stay strong till u make it!!! – @Anarene001
This is so me right now, I’m going to draw some inspiration from this cos I really do need it. Thank you for sharing. – @sisi_moji
This message came at the right time for me. I’m tapping into it and I’m saying a Big Amen. We keep pushing – @kaybbie_kubbie
Follow us on Facebook – @Lailasnews; Twitter – @LailaIjeoma for updates


GAAD.widget.js | © 2017 Nick Freear | License: MIT. * https://github.com/nfreear/gaad-widget * http://globalaccessibilityawarenessday.org


Car list:
{% for car in object_list %}
Car: {{car.brand}} {{ car.model }}
Color: {{car.color}}
Licence plate: {{car.plate}}
{% empty %}
Cars not found.
{% endfor %}


Finally...I wish you a lot of fun with PecoBeat. Please send me your feedback! I want to hear if you like it!Thank you...for everybody who has already sent me his feedback!...to Billy Kakes for URLView (It's used in the About window) ...everybody who helped me with the program ...anybody else who wants a 'thank you'! ;-) | |
|


Despite postponements, cancelations, injuries and more, the Bobcats finished the 2020-2021 season 12-8, making their winning percentage .600 and marking their best season in the Mid-American Conference since they went 13-3 against conference opponents in 2015. The Bobcats also finished the regular season as the third best team in the MAC, securing a spot in the four-team conference tournament.
The Bobcats had to face some tough teams this past season, including Western Michigan, Miami and Bowling Green, which finished 22-2 last season and won the MAC championship. Much like this year, the competition in the MAC next season will be fierce, and the road to the MAC tournament will not be easy. In order to keep up with its MAC opponents in the upcoming season, Ohio will have to focus on a few key tactics.
Here are the Bobcats keys to success for the 2021-2022 season:
Communication
Ohio’s communication on and even off the court is vital to its success. Ohio has to be able to work together and get along as a team in order to be able to match up against any adversary. Without good communication, the team could crumble. Communication is the glue that keeps it together.
Keep up the Intensity
For any team, it is almost inevitable to get behind at some point in a match. When this happens, Ohio must keep its head up and not lose its intensity. This has been proven to help it win matches. On March 16, the Bobcats fell behind 0-2 in their match against Kent State. Instead of getting down on themselves, the Bobcats only increased their energy and fought back, winning the match 3-2 and pulling off one of the greatest comebacks in program history. If Ohio can maintain its intensity throughout a difficult match and pull off more turn-around wins next season, it may make a big difference in its record, as well as its overall confidence. After beating Kent State, the Bobcats went on to achieve a three-match win streak.
Staying Healthy
Last season, Ohio dealt with a handful of injuries to its front row. Outside hitter Lauren Park missed the final seven matches of the season after sustaining a leg injury on March 16 at Kent State. Just one day later on March 17, opposite hitter Maggie Nedoma injured herself at home versus Toledo. Up until that point, Park and Nedoma had both played a big part in the Bobcats offense, combining for 296 kills. Another of Ohio’s power hitters, Tia Jimerson, sat out in a boot during Ohio’s series against Buffalo in February. Although these injuries did not hurt the Bobcats too badly in the spring as they won six of their last seven matches, there may not be such luck next season, especially if other teams are fully healthy.
Power at the Net
One of the main things that fueled Ohio in its journey to the MAC tournament during the 2020-2021 season was the amount of skill and power that it had above the 10-foot line. Ohio has many offensive stars, including All-MAC First Team middle blocker Tia Jimerson and All-MAC Second Team outside hitter Lauren Park. Jimerson led the team with 215 total kills last season. In her shortened season, Park had 189. Ohio also has rising stars Caitlin O’Farrell, Mariana Rodrigues and Elizabeth Hoerlein on its side. If Ohio can continue to grow the skill of these players plus foster the skills of its already big names, the offense could be unstoppable.
In addition, Ohio’s defense at the net also plays a big factor when competing against other MAC opponents. Teams like Western Michigan and Bowling Green have some strong hitters, and getting touches on the ball at the net slows some of those hard-to-dig kills down. While a block would be most effective, even just a hand on the ball makes it easier to be returned and the point to be earned. Every touch at the net counts.


Getting started¶
Installation¶
Before you begin, you should have a Django project created and configured.
Install our library from PyPI, like so:
$ pip install django-bakery
Edit your settings.py
and add the app to your INSTALLED_APPS
list.
INSTALLED_APPS = (
# ...
# other apps would be above this of course
# ...
'bakery',
)
Configuration¶
Also in settings.py
, add a build directory where the site will be built as flat files. This is where bakery will create the static version of your website that can be hosted elsewhere.
BUILD_DIR = '/home/you/code/your-site/build/'
The trickest step is to refactor your views to inherit our buildable class-based views. They are similar to Django’s generic class-based views, except extended to know how to automatically build themselves as flat files.
Here is a list view and a detail view using our system.
from yourapp.models import DummyModel
from bakery.views import BuildableDetailView, BuildableListView
class DummyListView(BuildableListView):
"""
Generates a page that will feature a list linking to detail pages about
each object in the queryset.
"""
queryset = DummyModel.live.all()
class DummyDetailView(BuildableDetailView):
"""
Generates a separate HTML page for each object in the queryset.
"""
queryset = DummyModel.live.all()
If you’ve never seen class-based views before, you should study up in the Django docs because we aren’t going to rewrite their documentation here.
If you’ve already seen class-based views and decided you dislike them, you’re not alone but you’ll have to take our word that they’re worth the trouble in this case. You’ll see why soon enough.
After you’ve converted your views, add them to a list in settings.py
where
all buildable views should be recorded as in the BAKERY_VIEWS
variable.
BAKERY_VIEWS = (
'yourapp.views.DummyListView',
'yourapp.views.DummyDetailView',
)
Execution¶
Then run the management command that will bake them out.
$ python manage.py build
This will create a copy of every page that your views support in the BUILD_DIR
.
You can review its work by firing up the buildserver
, which will locally
host your flat files in the same way the Django’s runserver
hosts your
dynamic database-driven pages.
$ python manage.py buildserver
To publish the site on Amazon S3, all that’s necessary yet is to create a
“bucket” inside Amazon’s service. You can go to aws.amazon.com/s3/
to set up an account. If you need some basic instructions you can find
them here.
Then set your bucket name in settings.py
.
AWS_BUCKET_NAME = 'your-bucket'
While you’re in there, you also need to set your credentials.
AWS_ACCESS_KEY_ID = 'your-key'
AWS_SECRET_ACCESS_KEY = 'your-secret-key'
Finally, now that everything is set up, publishing your files to S3 is as simple as:
$ python manage.py publish
You should be able to vist your bucket’s live URLs and see the site in action. To make your bucket act more like a normal website or connect it to a domain you control follow these instructions.
Optimization¶
If you are publishing to S3, you can reduce the size of HTML, JavaScript and CSS files by having bakery compress them using gzip as they are uploaded. Read more about this feature here, here or here.
Getting started is as simple as returning to settings.py
and adding the following:
BAKERY_GZIP = True
Then rebuilding and publishing your files.
$ python manage.py build
$ python manage.py publish


CAKEY, CHEWY, FUDGY
posted by brownielover on April 29, 2017
Everyone loves brownies but some like them nice dense and rich, while others like a more soft and fluffy texture.
With so many types of brownies, the question is "how does a baker achieved their desired texture?" The trick is to have different proportions of fat (i.e. butter and chocolate), sugar, flour and eggs.
| Cakey | Chewy | Fudgey | |
|---|---|---|---|
| Butter | cold butter | softened butter | melted butter or oil |
| Chocolate | powdered cocoa | half cococa half melted chocolate | melted chocolate |
| Flour | more flour with baking powder | same amount of flour | |
| Eggs | has same amout of eggs | less whole eggs | best with more egg yolks |
| Sugar | white sugar | brown sugar | more white sugar than cakey |


My name is Cate and I’m a student at Eastern Washington University majoring in Visual Communications in Design. I specialize in character concepts, branding, and layout designs. I am a full-time student and a part-time waitress in the beautiful Pacific Northwest.