Description
Whether you’re 2 or 22, video games have fascinated all age groups! It’s time to gear up and
compete in a CSGO LAN knockout tournament. The tournament will be played in teams of 5 people
and all the matches before the semi-final will be single knockout matches and the semi-finals and
finals will be best of 3. The aim of the for the Terrorists is to plant the bomb at either A or B
bombsite and successfully detonate the device OR kill all members of the opposing team. The
detailed rules are in the rulebook. Looking forward to your enthusiastic participation!
Rules
• Servers will be setup with Warmod, which require teams to ready up. Once both
teams are ready, the game begins.
• The game winning conditions is first to have a score of 16. Teams with the highest
score at the end wins. In the event of a tie, the game will be reset and overtime will
commence.
• Semi- Finals and Finals the match will contain of 3 maps, here the winner will be
decided according to the number of maps win or in case to ties.
• All teams must reach the venue within 10 minutes of announcement or the team will
forfeit
• Use of third-party cheats or hacks to gain an unfair advantage is strictly not allowed.
• Teams found to be using hacks or cheats will be disqualified from the competition.
MAP FORMAT:
• All maps will be played in the Bomb defuse mode. The aim of the game is the
Terrorists to plant the bomb at either A or B bombsite and successfully detonate the
device OR kill all members of the enemy team.
• The map pool consists of following maps: de_train, de_inferno, de_mirage,
de_dust2, de_nuke, de_overpass, de_cache.
• There will be a knife round to select the in-game teams i.e. Counter terrorist or
Terrorist.
SERVER SPECIFIC SETTING:
• Warmup time: 240 sec
• Round time: 115 sec
• Bomb timer: 40 sec
• Start Money: $800


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Search for keywords in App Store and Google Play and return a list of apps in CSV file for each store.
It take a while to retrive the data. How about playing a snake game while you waiting ;)


Add new tiles to the map by selecting a tile at the edge, then click new tile.
Click and drag the blue arrows above the selected tile to change its height.
The clone tool from the menu makes editing big maps much quicker.
Edit or add materials from the materials list in the menu.
Red arrow indicates the center tile. Double click a tile to make it the center tile.
Assign a numbered marker to a selected tile as a place marker for your game engine, e.g. borders or spawn points. The markers are included in exported maps.
Tip: Menu
The menu button is in the top right corner.
Use it to see the controls, import/export maps, or change settings.


Story files are mechanically best identified by their release number and serial code, which are written into the header information at the bottom of Z-machine memory. The release number can be anything between 0 and 65535 but is usually between 1 and 100. The serial code can consist of any six textual characters but is usually the date of compilation, arranged YYMMDD: thus 970619 refers to June 19th, 1997. The notation
Release number.Serial code
identifies particular story files: for example the first production copy of 'Enchanter' is 10.830810.
Paul David Doherty's investigations into Infocom's released games have resulted in the following list of all known story files compiled by Zilch, the Infocom compiler:
| Zork I | 5. (no serial code) |
| Zork I | 15.UG3AU5 |
| Zork II | 7.UG3AU5 |
| Ballyhoo | 97.851218 |
| Cutthroats | 23.840809 |
| Deadline | 18.820311, 19.820427, 21.820512, 26.821108, 27.831005 |
| Enchanter | 10.830810, 15.831107, 16.831118, 24.851118, 29.860820 |
| Four-In-One Sampler I | 26.840731, 53.850407, 55.850823 |
| Four-In-One Sampler II | 97.870601 |
| The Hitch Hiker's Guide To The Galaxy | 47.840914, 56.841221, 58.851002, 59.851108 |
| Hollywood Hijinx | 37.861215 |
| Infidel | 22.830916 |
| Leather Goddesses of Phobos | 118.860325? (beta), 50.860711?, 59.860730, 59.861114 |
| Lurking Horror | 203.870506, 219.870912 (s), 221.870918 (s) |
| Mini-Zork I | 34.871124 |
| Moonmist | 4.860918, 9.861022 |
| Planetfall | 20.830708, 29.840118, 37.851003 |
| Plundered Hearts | 26.870730 |
| Seastalker | 86.840320 (beta), 15.840501, 15.840522, 16.850515, 16.850603 |
| Sorcerer | 67.000000? (beta), 4.840131, 6.840508, 13.851021, 15.851108, 18.860904 |
| Spellbreaker | 63.850916, 87.860904 |
| Starcross | 15.820901, 17.821021 |
| Stationfall | 107.870430 |
| Suspect | 14.841005 |
| Suspended | 5.830222, 7.830419, 8.830521, 8.840521 |
| Wishbringer | 68.850501, 69.850920 |
| Witness | 13.830524, 18.830910, 20.831119, 21.831208, 22.840924 |
| Zork I | 23.820428, 25.820515, 26.820803, 28.821013, 30.830330, 75.830929, 76.840509, 88.840726 |
| Zork II | 17.820427, 18.820512, 18.820517, 19.820721, 22.830331, 23.830411, 48.840904, ?.841220? |
| Zork III | 10.820818, 15.830331, 16.830410, 15.840518, 17.840727 |
Note that the two samplers and the mini-Zork are in the public domain and may be downloaded from Internet archive sites. One form of 'Zork I' can be downloaded freely from Activision's Web pages promoting the Zork brand name.
The two problem children here are 'Seastalker', a submarine game which produces a sonar display across the top of the screen (and thus needs more sophisticated screen control features than the other Version 3 games) and 'The Lurking Horror', which uses sound effects (hence the "(s)" notation).
| A Mind Forever Voyaging | 77.850814, 79.851122 |
| Bureaucracy | 86.870212, 116.870602 |
| Nord and Bert Couldn't Make Head Nor Tail Of It | 19.870722 |
| Trinity | 11.860509, 12.860926 |
| Beyond Zork | 47.870915, 49.870917, 51.870923, 57.871221 |
| Border Zone | 9.871008 |
| The Hitch Hiker's Guide To The Galaxy SG | 31.871119 |
| Leather Goddesses of Phobos SG | 4.880405 |
| Planetfall SG | 10.880531 |
| Sherlock | 21.871214, 26.880127 (s) |
| Wishbringer SG | 23.880706 |
| Zork I SG | 52.871125 |
| Zork I German | 3.880113 (beta) |
The "SG" games were "solid gold" revisions of existing Version 3 games, adding on-line hints and an UNDO command. Regrettably these are not the versions distributed by Activision on their recent re-releases of the Infocom back catalogue.
One form of 'Sherlock' uses sound effects. 'Border Zone' introduces timed input. 'Beyond Zork' features a character-graphics font. But the most interesting file is the German translation of 'Zork I', which was never commercially released, introducing an alphabet table to the format.
| Game | Mac | Amiga | Apple II | IBM |
| Arthur | 54.890606 | same as Mac | 63.890622? | 74.890714 |
| Journey | 26.890316 | 30.890322 | 77.890616? | 83.890706 |
| Shogun | 292.890314 | 295.890321 | 311.890510? | 322.890706 |
| Zork Zero | 296.881019 | 366.890323 | 383.890602? | 393.890714 |
The rule that story files should be independent of their target computers was dropped for Version 6 games and this leads to copious footnotes and exceptions in sections 8.8 and 16 of the standard. Story files for a particular game are substantially similar to each other but use fonts, pictures and so on slightly differently.
Note that a new Infocom game, Zork: The Undiscovered Underground was published by Activision in 1997. 16.970828 is the only public version I know of: however, note that this file was compiled by Inform and not by Zilch. It is therefore not useful as a witness to Z-machine rules.
Section 1 / 2 / 3 / 4 / 5 / 6 / 7 / 8 / 9 / 10 / 11 / 12 / 13 / 14 / 15 / 16
Appendix A / B / C / D / E / F


Montana
Velo Road Race
Helena, MT
Montana Cup #2
19 April 2003
61 Racers
Sunshine, temps in the 60's, mild west wind. Thanks to all who gave it a go!
Category 1, 2, 3 (approx. 56 miles)
1. Dave Hartman (Northern Rockies) approx. 2 hr 28 min.
2. Owen Gue (Northern Rockies)
3. Sam Schultz (Northern Rockies)
4. John Behrens (Share the Roads)
5. Mark Magilner (Five Valley Velo)
6. Tim Gaertner (Flathead Cycling)
7. Scott Herzig (Montana Velo)
8. Jeff Penrod (Flathead Cycling)
9. Will Schneider (E-Caps)
10. Rankin Holmes (Northern Rockies)
11. Kiefer Hahn (Northern Rockies)
12. Seth Hansen (Northern Rockies)
13. Jamul Hahn (Northern Rockies)
14. Dave Landstrom (Flathead Cycling)
15. Clint Muhfield (Flathead Cycling)
16. Marcel Van Garderen (Share the Roads)
17. Tom Robertson (Northern Rockies)
18. Jason Mohr (Northern Rockies)
19. Russ Schneider (Flathead Cycling)
20. Logan Onken (Northern Rockies)
21. TeeJay Van Garderen (Share the Roads)
DNF Jim Clapp (Five Valley Velo)
DNF Heidie Stamm (ICO)
DNF Becky Broeder ((CO)
DNF Kathleen Jones (ICO)
Women (approx. 38 miles)
1. Robin Shropshire (Great Divide)
2. Jacqueline Gaertner (Flathead Racing)
3. Rhonda Wodnik (Great Divide)
Junior Men (approx. 38 miles)
1. Marshall Opel (Northern Rockies)
Junior Women
DNF Metta Gilbert (Montana Velo)
Men Category 4, 5 (approx. 38 miles)
1. Kelly Irwin (Northern Rockies)
2. Steve Beals (Northern Rockies)
3. Pat Hutchins (Five Valley Velo)
4. Eric Sundstrom Unattached
5. Jason Hobson (Five Valley Velo)
6. Doug Hawes-Davis (Northern Rockies)
7. Mark Nitz (Yellowstone Valley CC)
8. Steve Willis (Flathead Cycling)
9. Miles Key (Five Valley Velo)
10. Shaun Fulmer (Five Valley Velo)
11. Bill Hanson Unattached
12. Eric Ziegler Unattached
13. Nathan Sande (Flathead Cycling)
14. Rick Finley (Great Divide)
15. Steve Field (Great Divide)
16. Robert Funk (Northern Rockies)
17. Ben Sullivan Unattached
18. Dan Barry (Yellowstone Valley CC)
Category Masters 35+ (approx. 38 miles)
1. Eric Greenberg (Flathead Cycling)
2. Steve Coon Unattached
3. Joe Scott (Five Valley Velo)
4. Keith Carperelli (Great Divide)
5. Charlie Harper (Yellowstone Valley CC)
6. Eric Schneider Unattached
DNF Steve Hopp (Flathead Cycling)
Category Master 45+ (approx. 38 miles)
I hope this
is accurate now. Please change for MT Cup:
Category Master 45+ (approx. 38 miles)
1. Tom Greason (Share the Roads)
2. Steve Muller (Flathead Cycling)
*3. John Coulthard (Highlands Racing)
*4. Byron DeFord (Great Divide)
5. Jim McKinney (Five Valley Velo)
6. Pete Carperelli Unattached
Promoter: Steve Coen (Montana Velo) (19 years old stepping up!, promoter's
debut! Right on!)
Official: Byron DeFord (Great Divide)
Race Help: Diane Gray, Brian Wirak, Emmett Purcell, Scott Herzig, Andy Baur,
Betsy Baur, Megan Field, Rebecca Snider, Shaheen Siddiqui, Will Snider, Geoff,
Nadia, Atticus, Andriy Proctor.
Questions/comments: radsimunek@aol.com


Hashify is a basic web application and public-accessible hashing API to generate hash digests of whatever you like in various output formats.
If you encounter a problem, please create an issue on Github.
Hashify does not log hash digests, but does log inputs when using url querystring params in access logs. IPs are logged for abuse prevention with less than 30 days retention.
Github


Column base-8
Column base-4 small-8 medium-12 large-16 x-large-20
Column base-20 small-16 medium-12 large-8 x-large-4


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FOI release
Details of Freedom of Information (FOI) requests for details of employment contracts of Department for Education academy brokers.
Details of employment contracts of department academy brokers.
Whether they are directly employed and, if they are, the details of their employment terms and conditions including all remuneration.
If they are not directly employed, details of their contracts and the details of their pay and conditions of service.
Their names and previous experience.
A redacted copy of the contract for the supply of educational advice to deliver the broker advisor role for the Department for Education’s academies and free school programme, under the Dynamic Purchasing System (DPS), which is attached.
Individual brokers are contracted through the department through their own businesses or through an interim management company (Veredus).
Contracts for this role, whether contracted through the Department for Education or through an interim management company are the same.
The following links provide some of the information that was requested.
The first is a Treasury release that gives information on off-payroll engagements worth more than £58,200 per annum and includes companies employing brokers paid more than this amount, employed with the department in January 2012. This can be found on our Tax arrangement publication page .
We can confirm that the department holds the rest of the information requested, but it is being withheld because an exemption under section 43(2) of the act applies. On this matter, certain information is exempt from disclosure under section 43(2) of the act because disclosure would, or would be likely to, prejudice the commercial interests of any person. Section 43 of the act is a qualified exemption, which means that a public interest test needs to be carried out, and in doing so, the following factors have been taken into consideration.
The awarding of contracts to external bodies involves the expenditure of public funds. There is a strong public interest in ensuring transparency in this process and in there being accountability for publicly-spent money within the department. This is to ensure that public money is being used effectively and that the department is getting value for money. It is also important to ensure that procurement processes are conducted in an open and honest way.
However, the general public interest in releasing the information requested must be balanced against the public interest in protecting commercially sensitive information.
The release of day rates would be likely to prejudice the commercial interests of the contractors providing the service. The disclosure of this information could also prejudice the department’s commercial interests by adversely affecting the bargaining position during future contractual negotiations, which could result in the less effective use of public money. It is therefore considered that it is not in the public interest to disclose information relating to the detailed breakdown of tenders, as it is not already publicly known and would be likely to be used by competitors in a particular market to gain a competitive advantage.
Within point 4 of the request, the names and other personal information are being withheld because it is exempt under Section 40(2) of the act, which provides for personal data, such as names, to be exempt from disclosure where its release would contravene any of the protection principles under the Data Protection Act 1998. This is an absolute exemption and requires no public interest consideration.


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{% extends "with_submenu.html" %} {% block submenu %}{% include "scls/submenu.html" %}{% endblock %} {% block title %}Sync Request{% endblock %} {% block content %}
Request synchronization of repositories from related Copr projects {{ form.instance.get_copr_tags | safe }}.
Note that You may enable automatic synchronization or change Copr project here.


Say No! More - Announcement Trailer | Thunderful Publishing Say No! More is a One-Button-Game about saying
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Rick moves into the family home of Morty, where he immediately becomes a bad influence.


About Me
I am an MS Computer Science Graduate, researcher, and also working as a Lecturer in FAST NUCES. My area of research includes
- Medical Imaging
- Artificial Intelligence
- Semantic Segmentation
- Bioinformatics
Here is the link to my resume.
Projects
Evaluation of Multi-Modal MRI Images for Brain Tumor Segmentation
https://ieeexplore.ieee.org/abstract/document/8994408/Code repository for the published research paper
- A method that incorporates a deep learning-based model U-Net to address brain tumor localization.
- Utilizing BRATS2015 as the primary dataset for Brain MRI Images.
- Using the same architecture for the evaluation of individual modalities.
- Presented and published in ICET’19 conference.
Open source Graph Theory C library contribution
- Code for implementing the BK algorithm to show all maximal cliques and one maximum clique from within set of maximal cliques.
- Implemented in C language using Graph Theory concepts.
Data Dissemination for Bioinformatics - An Agent Migration Approach
Final Year Capstone Project for the BS Computer Science
- An agent migration approach to fill in the gap that existing approaches have not addressed: retrieving remote data in a low-quality network environment, especially unstable mobile computing environments and do the client-side computation on the server end.
- The ability of migration offers mobile agents a means to overcome the high latency or limited bandwidth problem by moving their computations to required resources or services. Users will be able to see his/her activity graphically visualized logs and statistics on their smartphone screen.
- The proposed approach can also overcome the resource limitation of mobile terminals and release mobile users from keeping online persistently.
Experience
- Promoted under the Computer Science Department as a Lecturer.
- Teaching courses including ‘Object-Oriented Programming’ and ‘Software Analysis & Design’ in Fall 2020.
- Supervising CS undergraduate students for their final capstone project in the fields of computer vision, deep learning, and time series analysis.
- Worked under the Computer Science Department as a Lab Instructor.
- Involved teaching courses including Introduction to Computing, Programming Fundamentals, and Digital Logic Design.
- Gained skills in SQL, Python and C++ programming languages.
Education
Coursera
AI for Medicine Specialization
August 2020 - To Date
A three-course Specialization practical experience in applying machine learning to concrete problems in medicine and healthcare.
NUCES, Pakistan
MSc Computer Science
2016 - 2019
Research and projects related to bioinformatics, Medical Imaging, Graph Theory, Rough sets, and Analysis of Algorithms. My thesis topic was “Evaluation of Multi-Modal MRI Images for Brain Tumor Segmentation”.
NUCES, Pakistan
BSc Computer Science
2012 - 2016
Final Year Project was entitled “Data Dissemination for Bioinformatics: An Agent Migration Approach”
Key Achievements & Duties
- Sports Head - NUCES, Pakistan - January 2020-To Date
- Faculty Head ACM-Student Chapter - NUCES, Pakistan - January 2020-To Date
- Learning to Teach Online Certification - Coursera - July 2020-August 2020
- 2 Bronze Medal (BSCS) - NUCES, Pakistan - August 2012-May 2016
- Android Development Certification - NUCES, Pakistan - August 2012-May 2016
- Vice-chairperson and International Member of ACM-Student Chapter - NUCES, Pakistan - August 2012-May 2016


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easter egg =)


pydrake.automotive¶
Bindings for Automotive systems. WARNING The drake/automotive package is being removed. See RobotLocomotion/drake/issues/11603. The drake/automotive code will be removed from Drake on or after 2019-09-01.
-
class
pydrake.automotive.
AheadOrBehind
¶ Specifies whether to assess the cars ahead or behind the ego car at its current orientation with respect to its lane.
Members:
kAhead :
kBehind :
-
kAhead
= AheadOrBehind.kAhead¶
-
kBehind
= AheadOrBehind.kBehind¶
-
name
¶ (self – handle) -> str
-
-
class
pydrake.automotive.
ClosestPose
¶ ClosestPose bundles together the RoadOdometry of a particular target along with its distance measure relative to the ego vehicle. Its intended use is as the return argument for PoseSelector member functions.
-
distance
¶
-
odometry
¶
-
-
class
pydrake.automotive.
DrivingCommand
¶ Bases:
pydrake.systems.framework.BasicVector_[float]
Specializes BasicVector with specific getters and setters.
-
acceleration
(self: pydrake.automotive.DrivingCommand) → float¶ The signed acceleration, positive means speed up; negative means slow down, but should not move in reverse.
Note
acceleration
is expressed in units of m/s^2.
-
set_acceleration
(self: pydrake.automotive.DrivingCommand, arg0: float) → None¶ Setter that matches acceleration().
-
set_steering_angle
(self: pydrake.automotive.DrivingCommand, arg0: float) → None¶ Setter that matches steering_angle().
-
steering_angle
(self: pydrake.automotive.DrivingCommand) → float¶ The desired steering angle of a virtual center wheel, positive results in the vehicle turning left.
Note
steering_angle
is expressed in units of rad.
-
-
class
pydrake.automotive.
IdmController
¶ Bases:
pydrake.systems.framework.LeafSystem_[float]
IdmController implements the IDM (Intelligent Driver Model) planner, computed based only on the nearest car ahead. See IdmPlanner and PoseSelector for details. The output of this block is an acceleration value passed as a command to the vehicle.
Input Port 0: PoseVector for the ego car. (InputPort getter: ego_pose_input())
Input Port 1: FrameVelocity of the ego car. (InputPort getter: ego_velocity_input())
Input Port 2: PoseBundle for the traffic cars, possibly inclusive of the ego car’s pose. (InputPort getter: traffic_input())
Output Port 0: A BasicVector containing the acceleration request. (OutputPort getter: acceleration_output())
Instantiated templates for the following kinds of T’s are provided:
- double
- AutoDiffXd
They are already available to link against in the containing library.
-
acceleration_output
(self: pydrake.automotive.IdmController) → pydrake.systems.framework.OutputPort_[float]¶
-
ego_pose_input
(self: pydrake.automotive.IdmController) → pydrake.systems.framework.InputPort_[float]¶ See the class description for details on the following input ports.
-
ego_velocity_input
(self: pydrake.automotive.IdmController) → pydrake.systems.framework.InputPort_[float]¶
-
traffic_input
(self: pydrake.automotive.IdmController) → pydrake.systems.framework.InputPort_[float]¶
-
class
pydrake.automotive.
LaneDirection
¶ LaneDirection holds the lane that a MaliputRailcar is traversing and the direction in which it is moving. A MaliputRailcar can either travel in the increasing-
s
direction or in the decreasing-s
direction.-
lane
¶
-
with_s
¶ True means that the MaliputRailcar’s
s
coordinate increases when the vehicle has positive speed. False means the opposite.
-
-
class
pydrake.automotive.
PoseSelector
¶ PoseSelector is a class that provides the relevant pose or poses with respect to a given ego vehicle driving within a given maliput road geometry.
Instantiated templates for the following kinds of T’s are provided:
- double
- AutoDiffXd
They are already available to link against in the containing library.
-
FindClosestPair
(lane: drake::maliput::api::Lane, ego_pose: pydrake.systems.rendering.PoseVector, traffic_poses: pydrake.systems.rendering.PoseBundle, scan_distance: float, path_or_branches: pydrake.automotive.ScanStrategy) → Dict[pydrake.automotive.AheadOrBehind, pydrake.automotive.ClosestPose]¶ Returns the leading and trailing vehicles in a given
lane
orroad
that are closest to an ego vehicle along its path, as measured along thes
-coordinate of the ego vehicle’s lane. Ifpath_or_branches
is ScanStrategy::kPath, only poses in the same path as the ego (ahead or behind) are tracked; if ScanStrategy::kBranches, poses in lanes that eventually merge (converge to the same branch point that is on the default path oflane)
are considered in addition to those along the ego car’s default path.Users should take heed to the fact that ScanStrategy::kBranches does not assess the relationship between traffic and ego vehicle velocity when selecting poses. Thus, cars within the same lane as the ego but with negative net-velocity (approaching the ego car, from the ego’s point-of-view) could be ignored in favor of a car in a branch with positive net-velocity.
The ego vehicle must be within the
driveable_bounds
oflane
(i.e. the road is contiguous withlane
along ther
-direction). This function is used, for instance, as logic for lane-change planners (e.g. MOBIL). The ego car’s pose (ego_pose)
and the poses of the traffic cars (traffic_poses)
are provided. The parameterscan_distance
determines the distance along the sequence of lanes to scan before declaring that no traffic car is ahead (resp. behind) the ego car.Returns: A map of AheadOrBehind values to vehicle ClosestPoses (containing RoadOdometries and closest relative distances). Relative distances are always positive, and a distance of positive infinity is returned if no traffic cars are found. Note that when no vehicle is detected in front of (resp. behind) the ego vehicle, the respective RoadPosition within ClosestPoses will contain an s
-value of positive (resp. negative) infinity. Any traffic poses that are redundant withego_pose
(i.e. have the same RoadPosition as the ego car and thus the sames
andr
value) are discarded. If no leading/trailing vehicles are seen within scan-distance of the ego car,s
-positions are taken to be at infinite distances away from the ego car. Note also that traffic vehicles having exactly the sames
-position as the ego vehicle but with differentr
-value or are directly perpendicular in a Lane::to_left(), Lane::to_right() lane are taken to be behind the ego vehicle. Note that this implementation is greatly simplified by considering poses as points (i.e. vehicle geometries are ignored).The RoadGeometry from which
lane
is drawn is required to have default branches set for all branches in the road network.
-
FindSingleClosestPose
(lane: drake::maliput::api::Lane, ego_pose: pydrake.systems.rendering.PoseVector, traffic_poses: pydrake.systems.rendering.PoseBundle, scan_distance: float, side: pydrake.automotive.AheadOrBehind, path_or_branches: pydrake.automotive.ScanStrategy) → pydrake.automotive.ClosestPose¶ Same as PoseSelector::FindClosestPair() except that it returns a single ClosestPose for either the vehicle ahead (AheadOrBehind::kAhead) or behind (AheadOrBehind::kBehind).
Cars in other lanes are only tracked if they are in confluent lanes to a given branch point within the
scan_distance
; i.e. cars in two side-by-side lanes that never enter a branch point will not be selected. This assumes that the ego car has knowledge of the traffic cars’ default lane.Note that when no car is detected in front of the ego car, the returned RoadOdometry within ClosestPose will contain an
s
-value ofstd::numeric_limits<double>::infinity()
.
-
GetSigmaVelocity
(arg0: pydrake.automotive.RoadOdometry) → float¶ Extracts the vehicle’s
s
-direction velocity based on its RoadOdometryroad_odometry
in the Lane coordinate frame. Assumes the road has zero elevation and superelevation.Raises: - RuntimeError if any element of
road_odometry.pos
is not within - the respective bounds of
road_odometry.lane
.
Note
This function currently only provides exact derivatives for velocity in the
s
direction when the road is straight (no yaw angle variations).- RuntimeError if any element of
-
class
pydrake.automotive.
PurePursuitController
¶ Bases:
pydrake.systems.framework.LeafSystem_[float]
PurePursuitController implements a pure pursuit controller. See PurePursuit for details on the approach.
Instantiated templates for the following kinds of T’s are provided:
- double
- AutoDiffXd
They are already available to link against in the containing library.
Input Port 0: a LaneDirection representing the requested lane and direction of travel. (InputPort getter: lane_input())
Input Port 1: PoseVector for the ego car. (InputPort getter: ego_pose_input())
Output Port 0: A BasicVector of size one with the commanded steering angle. (OutputPort getter: steering_command_output())
-
ego_pose_input
(self: pydrake.automotive.PurePursuitController) → pydrake.systems.framework.InputPort_[float]¶
-
lane_input
(self: pydrake.automotive.PurePursuitController) → pydrake.systems.framework.InputPort_[float]¶ Returns the port to the individual input/output ports.
-
steering_command_output
(self: pydrake.automotive.PurePursuitController) → pydrake.systems.framework.OutputPort_[float]¶
-
class
pydrake.automotive.
RoadOdometry
¶ RoadOdometry contains the position of the vehicle with respect to a lane in a road, along with its velocity vector in the world frame.
-
lane
¶
-
pos
¶
-
vel
¶
-
-
class
pydrake.automotive.
RoadPositionStrategy
¶ If kCache, configures a planning system (e.g. IdmController, MobilPlanner) to declare an abstract state that caches the last-computed RoadPosition. If kExhaustiveSearch, then the system will contain no abstract states. Note that the kCache option is for performance speedup (at the expense of optimizer compatibility) by preventing a potentially sizeable computation within RoadGeometry::ToRoadPosition().
Members:
kCache :
kExhaustiveSearch :
-
kCache
= RoadPositionStrategy.kCache¶
-
kExhaustiveSearch
= RoadPositionStrategy.kExhaustiveSearch¶
-
name
¶ (self – handle) -> str
-
-
class
pydrake.automotive.
ScanStrategy
¶ Specifies whether to check ongoing lanes or both ongoing lanes and confluent branches for traffic.
Members:
kPath :
kBranches :
-
kBranches
= ScanStrategy.kBranches¶
-
kPath
= ScanStrategy.kPath¶
-
name
¶ (self – handle) -> str
-
-
class
pydrake.automotive.
SimpleCar
¶ Bases:
pydrake.systems.framework.LeafSystem_[float]
SimpleCar models an idealized response to driving commands, neglecting all physics. Note that SimpleCar can move forward, stop, turn left, and turn right but cannot travel in reverse.
parameters:
- uses systems::Parameters wrapping a SimpleCarParams
state vector (planar for now):
- position: x, y, heading; heading is 0 rad when pointed +x, pi/2 rad when pointed +y; heading is defined around the +z axis, so positive-turn-left
- velocity
input vector:
- steering angle (virtual center wheel angle); a positive angle means a positive change in heading (left turn); the value must lie within (-pi, +pi).
- throttle (0-1)
- brake (0-1)
output port 0: same as state vector. output port 1: A PoseVector containing X_WC, where C is the car frame. output port 2: A FrameVelocity containing Xdot_WC, where C is the car frame.
- Template parameter
T
: - must support certain arithmetic operations; for details, see drake::symbolic::Expression.
Instantiated templates for the following ScalarTypes are provided:
- double
- drake::AutoDiffXd
- drake::symbolic::Expression
They are already available to link against in the containing library.
-
pose_output
(self: pydrake.automotive.SimpleCar) → pydrake.systems.framework.OutputPort_[float]¶
-
state_output
(self: pydrake.automotive.SimpleCar) → pydrake.systems.framework.OutputPort_[float]¶
-
velocity_output
(self: pydrake.automotive.SimpleCar) → pydrake.systems.framework.OutputPort_[float]¶
-
class
pydrake.automotive.
SimpleCarState
¶ Bases:
pydrake.systems.framework.BasicVector_[float]
Specializes BasicVector with specific getters and setters.
-
heading
(self: pydrake.automotive.SimpleCarState) → float¶ heading
-
set_heading
(self: pydrake.automotive.SimpleCarState, arg0: float) → None¶ Setter that matches heading().
-
set_velocity
(self: pydrake.automotive.SimpleCarState, arg0: float) → None¶ Setter that matches velocity().
-
set_x
(self: pydrake.automotive.SimpleCarState, arg0: float) → None¶ Setter that matches x().
-
set_y
(self: pydrake.automotive.SimpleCarState, arg0: float) → None¶ Setter that matches y().
-
velocity
(self: pydrake.automotive.SimpleCarState) → float¶ velocity
-
x
(self: pydrake.automotive.SimpleCarState) → float¶ x
-
y
(self: pydrake.automotive.SimpleCarState) → float¶ y
-


A logic gate is easiest understood when put in elecritcal terms. They are an elementary building block of an electrical circuit.
Gate INPUTS are driven by volatges having two values, e.g. 0V and 5V representing logic 0 and logic 1 respectively.
Gate OUTPUTS can be one of these two values, 0V or 5V representing logic 0 and logic 1 respectively.
The output of a logic gate is determined by the inputs going into the gate.
In Gate Grabber, all the logic gates have 2 inputs.
Truth tables are used to describe the behavior of each type of gate.
In each truth table, there are two input columns next to each other and a seperate column for the output.
The AND gate is an electronic circuit that gives a high output (1) only if all its inputs are high (1).
The OR gate is an electronic circuit that gives a high output (1) if one or more of its inputs are high (1).
This is a NOT-AND gate which is equal to an AND gate but the output is inverted. The outputs of all NAND gates are high (1) if any of the inputs are low (0). The symbol is an AND gate with a small circle on the output. The small circle represents inversion.
This is a NOT-OR gate which is equal to an OR gate but the output is inverted. The outputs of all NOR gates are low (0) if any of the inputs are high (1). The symbol is an OR gate with a small circle on the output. The small circle represents inversion.
The 'Exclusive-OR' gate is a circuit which will give a high (1) output if either, but not both, of its two inputs are high (1).
The 'Exclusive-NOR' gate circuit does the opposite to the EOR gate. It will give a low (0) output if either, but not both, of its two inputs are high (1).


Dakota Den
Affirmation and Stereotype Threat
October 11, 2014
When I think of the times in my life where I've been the most proud, 2 values come to mind: leadership and will-power. Leadership is important to me because I want to make an impact on those around me, and what better way than to be blazing the trail that others follow? It also keeps me sharp and focused, since others are counting on me.  Without it, I wouldn't be able to grit my teeth and complete tasks. For these reasons, I always try to live up to these values.
The last topic that someone asked for my advice on was when my friend was deciding what school to go to. He was an excellent ballet dancer, and couldn't decide on Houston or New York ballet companies (and their appropriate school programs). Whenever someone is asking for advice, leadership is essential to helping. Asking the tough questions, making them delve deeper into the issues while assuring them whatever they do, they will succeed. Will-power is also needed to tell them how you really feel, since they can reject your advice but you still need to give it.
When I think about my values, I feel like I can conquer the world. By adhering to them and strengthening them, I can become the man I want to become. These values can definitely mediate stereotype threat if I recognize it, because it takes a leader to step up and cast light on an issue, as well as the will-power to become such a leader.
If I'm ever feeling down at DBC, some physical things I can do is get active. Try to get others to join me and just burn out the negativity. I can also take some time to meditate and cleanse my head from whatever worries I have created for myself.


- quadList - Variable in class net.minecraft.client.model.ModelBox
-
An array of 6 TexturedQuads, one for each face of a cube
- quantityDropped(Random) - Method in class net.minecraft.block.Block
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockBookshelf
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockCake
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockClay
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockCommandBlock
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockEnderChest
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockEndPortal
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockFire
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockGlass
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockGlowstone
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockHugeMushroom
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockIce
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockLeaves
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockLiquid
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockMelon
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockMobSpawner
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockNetherWart
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockOre
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockPackedIce
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockPistonExtension
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockPortal
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockRedstoneOre
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockSeaLantern
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockSilverfish
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockSlab
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockSnow
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockSnowBlock
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockStainedGlass
-
Returns the quantity of items to drop on block destruction.
- quantityDropped(Random) - Method in class net.minecraft.block.BlockVine
-
Returns the quantity of items to drop on block destruction.
- quantityDroppedWithBonus(int, Random) - Method in class net.minecraft.block.Block
-
Get the quantity dropped based on the given fortune level
- quantityDroppedWithBonus(int, Random) - Method in class net.minecraft.block.BlockGlowstone
-
Get the quantity dropped based on the given fortune level
- quantityDroppedWithBonus(int, Random) - Method in class net.minecraft.block.BlockMelon
-
Get the quantity dropped based on the given fortune level
- quantityDroppedWithBonus(int, Random) - Method in class net.minecraft.block.BlockOre
-
Get the quantity dropped based on the given fortune level
- quantityDroppedWithBonus(int, Random) - Method in class net.minecraft.block.BlockRedstoneOre
-
Get the quantity dropped based on the given fortune level
- quantityDroppedWithBonus(int, Random) - Method in class net.minecraft.block.BlockSeaLantern
-
Get the quantity dropped based on the given fortune level
- quantityDroppedWithBonus(int, Random) - Method in class net.minecraft.block.BlockTallGrass
-
Get the quantity dropped based on the given fortune level
- quartersX - Variable in enum net.minecraft.client.resources.model.ModelRotation
-
- quartersY - Variable in enum net.minecraft.client.resources.model.ModelRotation
-
- quartz - Static variable in class net.minecraft.init.Items
-
- quartz_block - Static variable in class net.minecraft.init.Blocks
-
- quartz_ore - Static variable in class net.minecraft.init.Blocks
-
- quartz_stairs - Static variable in class net.minecraft.init.Blocks
-
- quartzColor - Static variable in class net.minecraft.block.material.MapColor
-
- queueChunkUpdates - Variable in class net.minecraft.client.renderer.chunk.ChunkRenderDispatcher
-
- queueChunkUploads - Variable in class net.minecraft.client.renderer.chunk.ChunkRenderDispatcher
-
- queuedLightChecks - Variable in class net.minecraft.world.chunk.Chunk
-
Contains the current round-robin relight check index, and is implied as the relight check location as well.
- queueFreeRenderBuilders - Variable in class net.minecraft.client.renderer.chunk.ChunkRenderDispatcher
-
- queueIO(IThreadedFileIO) - Method in class net.minecraft.world.storage.ThreadedFileIOBase
-
threaded io


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Have enquiries and want to make suggestions on our product and services, please reach out to us.
Your details are safe with us.
To our dear esteemed customers, our products are only eligible for return and refund if issues are reported within two days of product purchase.
Signed: Peng Collections


--- layout: diaspora_layout ---
Album Concept
The year is 2280, roughly 70 years after the final mass casualties of Necro-Pelagicia Virus also known as "The Great Plague" that “bottlenecked” the human race's population to around 3 billion people. Due to the disaster, not to mention the level of technology, the remaining humans were left with an of abundance of resources and space. Further, the deluge of death left not one person unaffected and because of this humanity's empathy toward one another and appreciation of life reached a level unseen in recorded history. This heightened empathy and understanding was later referred to as the "Organic Singularity".
Within the 30 years after the "Organic Singularity" breakthroughs in science lead to the digitization of human consciences which was deemed "The Singularity”. Needless to say such a breakthrough raised a number of ethical issues. However, a number of check and balances were put into place, coupled with the paradigm shift of consciences due to the Organic Singularity, humanity dealt and continues to deal with the issue responsibly.
Aside from the major recreational advances digitized consciousness has brought forth it has been primarily used for what has driven humanity ever since it climbed down from the trees and set foot on the African Savanna, exploration. Humans now explore the depths of the ocean, the deepest caves, and of course the final frontier, space! In the year 2280 during an expedition to Jupiter's moon Europa an ancient yet advanced "alien artifact" was discovered. However, to humanity's surprise, it wasn't "ancient" or "alien" at all but actually from humanity’s distant future and a rather bleak one at that.
The Great Plague
During the later half of the 2100's deep sea oil mining became the main source of fossil fuel. However locked within this deep sea biomass for 100's of millions of years a virus laid dormant. "The Great Plague" also known as Necro-Pelagicia Virus attacked the host's brain and with a 90% fatality rate of primates it wiped out over 50% of the human population, roughly 5 billion people, in the span of 7 years. Out of the remaining 50% of the survivors over half were left infertile due to a side effect of the vaccination.
Organic Singularity
The Organic Singularity officially began in 2211, the year of last recorded deaths from The Great Plague. Humanity was brought to its knees leaving most of the planet devoid of homo sapiens. This pressured the vast majority of people to migrate to specially designated areas on each continent, eventually becoming Mega Cities.
Society quickly realized that they had to cooperate with one another in order to maintain the quality of life in which law, order, and technology bring. Concepts of nations, culture, race, class, religion and other dividing factors were nothing more than descriptive terminologies to describe life before The Great Plague. The unification of humanity instantly birthed a religious fervor towards exploration of the cosmos.
By this time virtually all menial and complex alike tasks could be automated and managed by a few presses of buttons and swipes on a screen. The concept of "work" changed from being something people needed to do for money to a duty people did to maintain a level of comfort. "Work" became akin to following traffic laws; it was just a duty everyone had to do in order to keep order. Capital and wealth no longer existed as they once did, fame, "power", and influence came from discovery and broadening the understanding of the universe.
The Singularity
During The Great Plague the world was in a mad dash for a cure or vaccine which in turn lead to the unbanning of all unethical scientific research. By doing so a vaccine was not only created but breakthroughs in biology, neuroscience, computing, and many other fields. One of the more outlandish ideas is what actually lead humans to The Singularity. In short, it was to upload minds into a database, let The Great Plague run its course, and then re-upload the minds in to healthy clones of themselves. This theory later became a reality in 2242 and with the marriage of man and machine humanity unlocked a new chapter in their journey through the cosmos.
The Artifact from the Future (Diaspora Album)
Found on Jupiter's moon Europa in its Conamara Chaos region, the artifact consists of audio files describing locations, individuals, society, and various aspects of human life throughout the Milky Way Galaxy. It seems that despite the current state of humanity in 2280 it eventually will return to its "old ways" of exploitation, greed, and varying levels of strife.
Arp 87
Landing of the Galilei-1 on Europa.
The year is 2280 and the Europa Team 1 has successfully landed on Europa, one of Jupiter's moons, after a 6 month Journey. The Europa Team Captain and Science Officer are on the surface running samples when they happen upon the artifact:
Europa Team Captain
"I still can't believe we made it."
Europa Team Science Officer
"...I knew what to expect but...it's beautiful"
ETC
"I know, it's amazing... how much further?"
ETSO
"It should be just a few more meters around the bend of that rock face."
The Europa team members proceeds forward and happen upon The Artifact.
ETSO
"...the fuck...?"
ETC
"E-Excuse me- Oh my... I can't believe what I'm seeing."
ETSO
"This changes everything."
SNR24
The first piece of audio from the artifact is of a space-debris management (SDM) officer. Unfortunately where there is man his waste will follow.  SDM varies in quality from star system to star system, some are manned opperations and others are fully automated:
Approaching dock snr24. Another day, another credit.
Never got used to the smell of space... burnt-blood. Metallic.
Lazy rotation around XO5b. Nothing quite like gas giants.
Spherical kaleidoscopes among an infinite landscape. Black. Acrylic.
Were we meant for all this? Metal, right-angles, artificial lights... a sun, a spec in a night sky. Less natural, more numeric.
Credits. Stacking up for that new sleeve.
Immortality, what a blessing for some but to most horrific.
Twilight
[処理中...]
Vertigo
[処理中...]
Apparatus Hominus
Since humans have the capability to resleeve into other bodies uploading into a machines is also possible although not completely legal. By doing so mining opperations dealing with heavy duty becomes more efficient. However, long exposure to such kind of opperations can lead odd psycological alterations.
Body no longer a body
Not even synthetic flesh
Hydraulic pumps and gears
turning until
nothing is left
Vices for hands
Emissions for breath
Is this immortality
or
Is this death?
Traprain
[処理中...]
Gaea
It seems that in this era that the mainstream culture —at least in this particular star system is for humans to highly augment their physical form. Based on the information of the audio file it seems that the current star system wasn't as profitable as projected for a myriad of reasons. Nevertheless, settlers either decided to down or were stranded due to a bad investment who now have to etch out a living. It seems as if this "Gaea" is the child of such circumstance or it just might be she prefers her natural human form:
Brown eyes.
An un-augmented beauty, such a rarity since the singularity.
Most younger than a couple of centuries are ignorant to what “natural characteristics“ even are.
Blues, pinks, reds, varying levels of opacity, hell even ultraviolet 3 and Infrared 7, colors outside of the naturally
viewed color spectrum. Crowds’ colors akin to an oil spill, gone are blushes and tones of humanity.
But not her. Once called a “brunette” with skin the tone of the Earth’s soil…
born perfect by the lucky roll of the genetic dice…
Yet on a distant moon orbiting a hot jupiter in some shitty-unprofitable star system towards the center of the milky way.
sip my generic alcohol rehydrate and watch her work behind the bar.
As she toils away for one tenth of a credit after another.
The reddish light catches droplets of sweat running down her neck to her chest.
Working hard serving patrons who resemble machines more than they do men.
Her mundane characteristics leave her all but unnoticed except for an old-timer like me.
She says her parents named her, Gaea.
The irony.
Truly, she is a goddess…
A goddess… but a goddess lost in the stars.
The Rifts
[処理中...]
Wanderers
[処理中...]
Multi-planetary / Star System Corporations- govt / corporation hybrids. It appears to currently be the best [see: easiest] way for humanity to colonize moons, planets, and asteroids for resources. The catch is that it functions similarly to indentured servitude as the companies provide sleeves for service.
Immortality- Humans can "live forever" either in a virtual reality or by re-sleeving (heavily based off of the Richard Morgan books):
"In the novel's somewhat dystopian world, human personalities can be stored digitally and downloaded into new bodies, called sleeves. Most people have cortical stacks in their spinal columns that store their memories. If their body dies, their stack can be stored indefinitely. Catholics have arranged that they will not be resleeved as they believe that the soul goes to Heaven when they die, and so would not pass on to the new sleeve. This makes Catholics targets for murder, since killers know their victim will not be resleeved to testify. A UN resolution to alter this legal position forms one strand of the novel's plot, to allow the authorities to sleeve a deceased Catholic woman temporarily to testify in a murder trial. While most people can afford to get resleeved at the end of their lives, they are unable to update their bodies and most go through the full ageing process each time which discourages most from resleeving more than once or twice. So while normal people can live indefinitely in theory, most choose not to. Only the wealthy are able to acquire replacement bodies on a continual basis. The long-lived are called Meths, a reference to the Biblical figure Methuselah. The very rich are also able to keep copies of their minds in remote storage, which they update regularly. This ensures that even if their stack is destroyed, they can be resleeved.—Altered Carbon Wikipedia page
Struggle- Life is rough in the future.  Just like someone who lived in the Middle Ages might think living in 2015 is heaven on earth with iPhones, cheap food, and human rights, however, to us it's just another day and still far from perfect.
Apes in Space- Humans didn't evolve to live in space nor “live forever”. What kind of conundrums would arise from such a situation? What kind of existential crisis would happen when you look in the mirror and see a totally new face from the one you were born with? What about orbiting a star that is 100x bigger than the sun? How would you feel if you have never even been to a planet called “earth” where humans evolved?


## Final Projects (March 11 ) > Create map (or map-based objects) that function as art objects and challenge common conventions or understandings of the capabilities of maps.


This guide will hope you navigate through the many things to do in a great city. This trip will guide you through things to do, places to see, and places to eat. By no means, am I a travelling guide expert, but these are some great recommendations.
History Buff
, Foodie
2017-02-06
The MFA is one of the first encyclopedic museums in the US to fully integrate performance art into its collection, exhibitions, and programs. Since the opening of the Linde Family Wing for Contemporary Art in 2011, the MFA has commissioned and presented dozens of performance artworks by international, national and local artists, including live works that unfold in the Museum’s galleries and engage with its collection, performances that form part of cross-media contemporary art exhibitions, and interventions that appear in unexpected spaces inside the Museum or outdoors. These foundational, artist-driven projects question the role of performance art in a museum environment and reframed visitor’s experiences of the MFA.
More information and a chronological archive of past presentations can be accessed in the Performance Art Archive.


{% extends "exp/base.html" %} {% load web_extras %} {% block title %} Support Lookit {% endblock title %} {% block content %} {% page_title "How Researchers can Support Lookit" %}
Lookit is free for labs to use, but like any open source software project, it's not free to run! On this page, you can learn about ways to keep Lookit running (and getting better!) for a long time to come.
The biggest way you can support Lookit is by citing us in any paper (or poster, or presentation, etc.) that you publish using data you collected on Lookit, or that depends on the site in some other way. This helps us demonstrate our impact to funders and potential funders! In your methods section, please include something like the following - the details will vary on exactly how you are using Lookit.
And the corresponding citation is:
If you create an experiment that is closely based on one made by another researcher, you should also cite or credit that person's work - reach out to the study creator to learn the best way to do this!
Developmental psychology is slow, and this can put us at a disadvantage especially when talking about software with people from other fields that get to publication more quickly. You can help us a TON by letting us know any time you have a milestone. Milestones could include:
We would LOVE to showcase your work on the Lookit website - please fill in the form below to tell us about it!
Lookit is free for researchers to use, but if you are seeking funding, we would really appreciate you planning for funds to cover the cost of using the site. There are two main ways that Lookit might be involved in a funding application:
We would be thrilled to discuss any and all proposals you may be working on - contact Melissa<EMAIL_ADDRESS>for any inquiries!
Finally, a big thank-you to the funders that make Lookit possible:


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Below are some of the images which were produced by our videographers and camera crew at peoples wedding.
Adeel and Saeresh wedding
Usman and zarhra photoshoot
From the Enterance to the Exit capture every moment in HD
Focus on the things that matter not on the things that dont
4 Simple steps to get the picture perfect images and videography you obtain not get given.
Some of recent work which has been published either Social Media, Youtube or put into our own gallery page.
Our Contact Information provided below
Want to work with us? Don't hesitate to get in touch!
Feel free to ask if you have any question regarding our services or if you just want to say Hello, we would love to hear from you.
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TSB IT meltdown blamed on data centre test failure
by James WarringtonThe IT meltdown that left nearly 2m TSB customers without access to online banking is set to be partly blamed on the company’s failure to test one of its new data centres.
A long-awaited inquiry by City law firm Slaughter and May has concluded that the decision to test only one of the new data centres ahead of a huge IT upgrade made it “impossible to identify the problems” with the new system, Sky News reported.
Read more: TSB IT boss ‘kept board in dark’ ahead of tech meltdown
The failure to identify these problems in turn led to a huge meltdown, which cost chief executive Paul Pester his job and TSB roughly £370m in compensation and expenses.
The report, which will be published tomorrow, is expected to outline a raft of failings at the bank, with some of the criticisms levelled at top executives.
One source told Sky News that the report will accuse the TSB board of failing to address “common sense challenges” about aspects of the upgrade.
Another insider said it had concluded that the decision not to test both data centres was taken by Sabis, the tech division of TSB’s Spanish owner Sabadell.
Sabadell is said to have refused to cooperate with the inquiry, placing the responsibility for the meltdown with Sabis.
Yesterday it emerged that Slaughter and May’s report will also name and shame Carlos Abarca – the bank’s head of IT.
Abarca reportedly failed to warn board members about “shortcomings” with the testing of the new system, and has been accused of making an “ill-judged” assessment of the company’s readiness to go ahead with the migration.
Read more: TSB facing heaby criticism after investigation into IT meltdown
The law firm’s report is set to be followed by a joint investigation by the Financial Conduct Authority and Prudential Regulation Authority.
A TSB spokesperson said the bank does not comment on speculation, and will provide a further update “in due course”.
Main image credit: Getty


ROCK, PAPER, SCISSORS
PICK YOUR WEAPON!
The computer picked
You Tied. Try again!
You Won!
You Lost!
Won:
0
Lost:
0


My home
$80
2 Guests
1 Bedroom
1 Bathroom
Owner: John lenon
This is a lovely 1 bedroom and 1 bathroom apartment that can accomodate 2 people. It locates at the center of Shanghai and next to subway line 1. 1 stop to People Square, 2 stops to Bund, 3 stops to Jingan temple
Amenities
- Pet friendly
- TV
- Wifi
1 Review
From Max Dylan the 15th February 2018
Our place is a private, affordable stand-alone guest house centrally located just minutes to French Quarters, downtown, the Fair Grounds(Jazz Fest) and City Park. The guest house is a quaint, 400 square ft. with a full bath, mini kitchen, & living room. The extra high ceilings make the home feel more spacious. The sofa converts to a bed also. We have a hand made counter area that adds character to the room and a great porch/deck to relax on and have a glass of Merlot.


Interface Persistence<O,A extends Comparable<A>>
-
- All Known Subinterfaces:
SQLitePersistence<O,A>
- All Known Implementing Classes:
CompositePersistence
,DiskPersistence
,OffHeapPersistence
,OnHeapPersistence
,WrappingPersistence
public interface Persistence<O,A extends Comparable<A>>
An interface with multiple implementations, which provide details on how a collection or indexes should be persisted (for example on-heap, off-heap, or disk).- Author:
- niall.gallagher
-
-
Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description void
closeRequestScopeResources(QueryOptions queryOptions)
Called at the end of every request into CQEngine, to close any resources which were opened by theopenRequestScopeResources(QueryOptions)
method and stored in the given query options.ObjectStore<O>
createObjectStore()
Creates an ObjectStore which can store the objects added to the collection, either on-heap off-heap or on disk, depending on the persistence implementation.SimpleAttribute<O,A>
getPrimaryKeyAttribute()
void
openRequestScopeResources(QueryOptions queryOptions)
Called at the start of every request into CQEngine, to prepare any resources needed by the request in order to access the persistence.boolean
supportsIndex(Index<O> index)
Checks if this persistence manages the given index.
-
-
-
Method Detail
-
createObjectStore
ObjectStore<O> createObjectStore()
Creates an ObjectStore which can store the objects added to the collection, either on-heap off-heap or on disk, depending on the persistence implementation.- Returns:
- An ObjectStore which persists objects added to the collection.
-
supportsIndex
boolean supportsIndex(Index<O> index)
Checks if this persistence manages the given index.- Parameters:
index
- TheIndex
to check.- Returns:
- true if this persistence manages the given index. False otherwise.
-
openRequestScopeResources
void openRequestScopeResources(QueryOptions queryOptions)
Called at the start of every request into CQEngine, to prepare any resources needed by the request in order to access the persistence. The implementation of this method may be a no-op in some persistence implementations, such as those exclusively on-heap. However the implementation of this method in other persistence implementations, such as off-heap or on-disk, may open files or connections to the persistence for use by the ObjectStore and indexes during the request. This method does not modify the state of the Persistence object; instead it will add any resources it opens to the given QueryOptions object. The relatedcloseRequestScopeResources(QueryOptions)
method will then be called at the end of every request into CQEngine, to close any resources in the QueryOptions which this method opened.- Parameters:
queryOptions
- The query options supplied with the request into CQEngine.
-
closeRequestScopeResources
void closeRequestScopeResources(QueryOptions queryOptions)
Called at the end of every request into CQEngine, to close any resources which were opened by theopenRequestScopeResources(QueryOptions)
method and stored in the given query options.- Parameters:
queryOptions
- The query options supplied with the request into CQEngine, and which has earlier been supplied to theopenRequestScopeResources(QueryOptions)
method.
-
getPrimaryKeyAttribute
SimpleAttribute<O,A> getPrimaryKeyAttribute()
- Returns:
- the primary key attribute, if configured. This may be null for some persistence implementations especially on-heap persistence.
-
-


Our Vision
To be the favoured destination for quality education in electronics and communication engineering.
1983
Establishment Year
60
seats per year
Faculty
Mr. Dinesh Shankar Pegu
Head of Department
ETE & CSE
ETE & CSE
QUALIFICATION
M. Tech
CONTACT NUMBER
+919435707950
EMAIL ADDRESS
<EMAIL_ADDRESS>Mr. Apurba Kumar Kalita
Associate Professor
QUALIFICATION
B.E.
CONTACT NUMBER
+919706074262
EMAIL ADDRESS
<EMAIL_ADDRESS>DR. RASHI BORGOHAIN
Assistant Professor
QUALIFICATION
M.Tech, Ph.D
CONTACT NUMBER
+919854078570
EMAIL ADDRESS
<EMAIL_ADDRESS>DR. NAVAJIT SAIKIA
Associate Professor
QUALIFICATION
M.Tech, Ph.D
CONTACT NUMBER
+919864020168
EMAIL ADDRESS
<EMAIL_ADDRESS>MR. BIJOY GOSWAMI
Assistant Professor
QUALIFICATION
M.Tech
CONTACT NUMBER
+919864447107
EMAIL ADDRESS
<EMAIL_ADDRESS>MRS. RUCHIRA MAZUMDAR
Guest Faculty
QUALIFICATION
M.Tech
CONTACT NUMBER
Not Provided
EMAIL ADDRESS
Not Provided
MR. JOGANANDA GOSWAMI
Guest Faculty
QUALIFICATION
M.Sc
CONTACT NUMBER
Not Provided
EMAIL ADDRESS
Not Provided
MR. KABINDRA BHAGAWATI
Guest Faculty
QUALIFICATION
M.Tech
CONTACT NUMBER
Not Provided
EMAIL ADDRESS
Not Provided
MRS. RIDHI BORDOLOI
Guest Faculty
QUALIFICATION
M.Tech
CONTACT NUMBER
Not Provided
EMAIL ADDRESS
Not Provided
MR. ANKUR JYOTI SARMAH
Guest Faculty
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M.Tech
CONTACT NUMBER
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EMAIL ADDRESS
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Jon SanPedro
Projects
(current)
Contact
Portfolio
About
Project
Project title: Playr
Deployed Link
Github Repository


type TRBOptions = set of (roConstrained, roProportional);
The type of the Options property in TRubberbandLayer.
[See Also]


Warehouse Chief Moke:
You there! Can't you tell just by looking at me? I only teach Scavengers. If you want to be an
Artisan
, then go to the
Head Blacksmith Tapoy
. He will tell you everything you need to know.
Return


Subsitution Parameters
{% for k in custom_params %}
{{ k }}={{ custom_params[k] }}
{% endfor %}
Step 2: Create a tool deployment
In Admin Tools navigate to External Learning Tools
LTI Advantage > New deployment
Tool Select the tool created in the 1st step
Extensions Select all extensions
Security Select all EXCEPT Anonymous and Open as Extern Resource
Make the tool available to the courses/orgs as desired
Step 3: Create a deep linking placement
Once the deployment completed, select Links to create a new placement
Name Add Robotest
URL {{ base_url }}
Type Deep Linking Quicklink
Save and Close
And now you can bring the test course links using deeplinking in your course: Course Content > Add
existing activities > Add Robotest
Sakai instructions - automatic configuration
The registration URL is {{base_url}}/register. Paste it as the Tool URL and click Add LTI
Advantage
Schoology - manual configuration
Use the parameters above to register Robotest manually. Schoology support is implied by the issuer using
the
information provided on the Schoology Documentation.
Other LTI Advantage LMSes - automatic configuration
The registration URL is {{base_url}}/register?lms=generic. Paste it as the Tool URL and click Add LTI
Advantage
Other LMSes - manual configuration
Since there is no database in Robotest, the login URI must contain the 3 parameters (oidc auth, token
and jwks endpoints). If those starts with the same base URL as the ISS,
the value may just be the path from the iss. For example, if the iss is
https://myplatform.io and the token_urlhttps://myplatform.io/lti/token then this suffice: token_url=\lti\token.


CSS Positioning
CSS uses positioning to layout all of the bits a pieces that make up a web page. Even when no code has been specified CSS still uses static positioning, that is the normal way a pages pieces sit together. Being normal isn't that exciting and isn't worth talking about, what is are the ways of positioning that give us more control and do something outside of the norm. This is where we with a little bit of extra code absolute, fixed and relative positioning comes into play.
Absolute Positioning
What absolute positioning does is that it takes elements(a technical name given to things that make up the page) out of the flow of the page, being ignored by and ignoring other elements on the page.
An absolute positioned element appears on the page depending on coordinates set in its code top, bottom, left etc. If you think of it as an absolute positioned element as a boy scout trying to find its way on a map with only a couple of grid coordinates A1 utmost top left coordinate in the grid in code terms would relate to top: 0; left: 0; so quite straightforward thus far what is really interesting is what an absolute positioned element considers the map.
To determine what the "map" is, our boy scout absolute positioned element first looks for another type of positioned element to tell it what its boundary is. In technical terms this would be an element set to relative positioning that its code has been written inside of, or for our hypothetical example think of this as a scout leader telling our boy scout where he can and can't go for this exercise effectively giving him a smaller map within this boundary. In CSS terms this means the element will be positioned within the parent element (scout leader's map). For example the title of this blog post is an absolute positioned element given a set of coordinates to site in the correct place within the boundaries of the image at the top of the page its relative positioned parent element.
Now what if there is no relative positioned parent element, no scout leader, what does our boy scout do then? It does what any child given an out of context instruction does what they think the instruction meant and as in real life this does not always work out well. In our orienteering scenario the absolute positioned element assumes We meant the whole page is the map regardless of where we put it in the code of the document. In the context of this page layout if we removed the position: relative; code line from the image at the top then the title would position itself on the page as a whole. This would display partially covering the same part of the page as the logo at the top left and over part of the navigation bar. This would look like a mess.
Relative Positioning
As you can see from above you can not talk about absolute positioning without going into relative positioning. Apart from being "relative" to an absolute positioned child element providing it with the boundaries that it can use to decide on its position it is also "relative" to the element it is set inside of, as well as "relative" to the other elements inside of it. I know that's a lot of relatives almost a family reunion going on here, let's think of it in a practical way.
As we discussed the image earlier, and I am sorry to say but simplicity's sake I lied. It is actually an invisible box around the image that both the title and the image sit inside. Think of it as putting two different sized photos in the same picture frame. They are both encased inside but it does more than just hold them in it also keeps its shape it doesn't stretch or contract with the size of the screen it well stays "relative".
Try resizing the window you are viewing this in you see that the image and title stay about the same in relation to each other.
Fixed Positioning
By now you would have noticed that the navigation bar at the top of the page is following you. No it's not a stalker is a fixed positioned element. A fixed positioned element is fixed or attached to the same position on the screen. It functions similar to our absolute positioned element earlier in that it has its set of map coordinates but for a fixed position element there is no searching for a parent element to tell it what to do. It already knows what to do its a fixed positioned element it has a job and that job is to find its coordinates on your screen (viewport in technical jargon) then stay there until it's told otherwise and its good at its job.
More to know
There is more to positioning than these three (four if you include static positioning) types of positioning. There are others like sticky positioning, z-index ect. this is however not covered in this post maybe another time. Thanks for reading.


1. Enable "USB Debugging" from Developer Options.
2. Connect tab with pc.
3. Unzip "Platform Tools.zip" or ADB other zip file.
4. Navigate to unzipped folder
5. Clear the adress bar and type "cmd" and press enter.
6. A Command Line/PowerShell window will be opened.
7. Type "adb devices" in that and press enter.
8. Select "Remember this computer" and click allow in USB debugging prompt from phone.
9. If you can't do step 8 you have to search more drivers for your pc. Install proper drivers and repeat from step 2.
10. If your tab codename appears, then you have successfully setup ADB. Now you can use ADB commands!
Unlock Bootloader
Requirements:
PC, USB Cable and ADB Setup. Caution: All data will be lost on factory reset!
Steps:
1. Enable "OEM Unlocking:Allow the bootloader to be unlocked" from Developer Options.
2. ADB Setup
3. Type "adb reboot bootloader" and hit enter.
4. Your tab will boot to fastboot showing FastBoot text with broken android icon.
5. Type "fastboot devices" and hit enter. If your tab codename appears go to next steps.
6. Type "fastboot oem unlock-go" and press enter.
7. Setup your factory reset tab and navigate to settings. In Developer Options you will see "Your bootloader is already unlocked".
8. Now you can root, install custom rom or custom recovery!
1. ADB Setup
2. Type "adb reboot bootloader" and hit enter.
3. Your tab will boot to fastboot showing FastBoot text with broken android icon.
4. Type "fastboot devices" and hit enter. If your tab codename appears go to next steps.
5. Type "fastboot flash recovery" and hit space and drag and drop twrp image file. press enter.
6. Type "fastboot boot" and hit space and drag and drop twrp image file. press enter.
7. Your tab will successfully start TWRP recovery. Now it's time to install new OS/ROM!
1. Reboot to Custom TWRP Recovery.
2. Click on Wipe. Select system, dalvik-cache and internal storage.
3. Swipe to right and press home.
4. Tap on install. Navigate to custom rom file and click on it.
5. Swipe to right and wait.
6. After installation is complete, click on home and select reboot and then tap system.
7. Custom OS/ROM installation successful!
1. Reboot to custom TWRP recovery. You may use the previous paragraph to start TWRP recovery.
2. Tap on install. Navigate to magisk file and click on it.
5. Swipe to right and wait.
3. After installation is complete, click on home and select reboot and then tap system.
7. Root successful!
1. Unzip the firmware zip file.
2. Intall magisk manager and open the app.
3. Click on install after magisk.
4. Select patch a file.
5. Navigate to "boot.img" in unzipped firmware.
6. Select it and press okay/patch. Keep data connection on and wait a while.
7. Copy magisk_patched.img from download folder of internal storage to pc.
8. ADB Setup
9. Type "adb reboot bootloader" and press enter.
10. Type "fastboot boot" , hit space, drag and drop the patched file and press enter.
11. Type "fastboot reboot" and press enter.
12. Root successful!


| 1051 | (A) | hir awen barne that scho bare Made brede one the gledis |
| 1056 | (C) | Here owen chylde þat she bare . leyde hit on þe coles |
| 1039 | (D) | her owne barne þat she bare bred on the colis |
| 1019 | (E) | her owne chyld þat ȝhe baar . leyde vp-on þe colys |
| (Ex) | ---- no text ---- | |
| 1077 | (L) | hire owen barn þat ȝo bare ȝo brad on þe gledis |
| 991 | (P) | ? ?? ???? ???? ??? sho ???? brynt? it on glades |
| 1028 | (U) | hir owen child that she bare / braid on the coles |
| 117 | (V) | her own barm þat she bare . brad hit on þe gledes |


Nicole King Sometown, VA 55555 | Cell:<PHONE_NUMBER> Email<EMAIL_ADDRESS>• LinkedIn URL
Emergency Medical Technician | EMT-B
Certified EMT and dedicated member of emergency response teams delivering fast, quality care during medical emergencies, accidents, fires, natural disasters and other crisis scenarios. Passionate medical services provider able to remain calm under pressure and react swiftly in urgent and life-threatening situations.
EMT Skills
Professional Experience
ABC AMBULANCE COMPANY • Sometown, VA Emergency Medical Technician (EMT), 2014 to Present
Following completion of EMT trainee program, hired as a full-time EMT by private ambulance company. Work collaboratively with emergency services personnel in responding to 911-dispatched calls to provide pre-hospital urgent care, life support and patient transport.
Achievements:
Education
DEF College • Sometown, VA Accredited by the Commission on Accreditation of Allied Health Education Programs Associate of Applied Science in Emergency Medical Services (EMS)
Certifications:


Contact: B. Wyman Reviewers: Change history: WebCVS Log for bgrid_vert.f90
Initializes the derived-type variable vert_grid_type, which contains vertical grid constants needed by the B-grid dynamical core and many other B-grid routines.
This module initializes the constants needed for a hybrid sigma/pressure vertical coordinate that also includes a step-mountain (eta) coordinate option. The B-grid model can be run with either "sigma" (terrain following) coordinates or "eta" (the step-mountain coordinate). In the sigma coordinate system, the coordinate surfaces follow the topography, there is always the same number of model levels above ground at all grid boxes. In the eta coordinate system, the coordinate surfaces are nearly horizontal, model grid boxes will be beneath the topography. The step-mountain topography can be thought of as "building blocks". The model levels below the topography are masked out. In both coordinate systems, vertical indexing increases from the top of the atmosphere towards the surface. In addition, a hybrid coordinate may be specified. Near the surface the coordinate must be a sigma/eta coordinate, with a transition between arbitrary levels to a pressure coordinate in the uppermost model levels. Pressure p is determined by the following formula: p(k) = peta(k) + eta(k) * pssl where (k) = the vertical index peta = reference pressure eta = sigma/eta values (between 0. and 1.) pssl = ps * res ps = surface pressure res = 1./eta_surface (=1 for non-eta case) peta, eta are dimensioned only in the vertical pssl, ps, res are dimensioned only in the horizontal
constants_mod fms_mod
use bgrid_vert_mod [,only: vert_grid_type , vert_grid_init , compute_pres_depth , compute_pres_full , compute_pres_half , compute_pres_weights, compute_pressures , compute_geop_height , compute_height ] vert_grid_type Defined-type variable containing the vertical grid constants needed by the B-grid dynamical core (see below). vert_grid_init Initializes a vert_grid_type. compute_pres_depth Computes the pressure weight (mass) of a model layer. compute_pres_full Computes the pressure at full model levels. compute_pres_half Computes the pressure at half model levels. compute_pres_weights Computes weighting terms for averaging data from half levels to full model levels. compute_pressures Computes everything from routines compute_pres_depth, compute_pres_full, compute_pres_half, and compute_pres_weights. compute_geop_height Computes the geopotential height (in m2/s2) at full model levels and (optionally) at half model levels. compute_height Computes the height (in meters) at full and half model levels. compute_height_bottom Computes the height (in meters) and pressure at the lowest full model level.
type (vert_grid_type) nlev = number of vertical levels [integer] nplev = number of pure pressure levels at the top of the model [integer] deta = vertical eta thickness/depth of model layers [real, dimension(nlev)] aeta = eta values at model levels (full levels) [real, dimension(nlev)] eta = eta values at model layer interfaces (half levels) [real, dimension(nlev+1)] dpeta = vertical pressure thickness/depth of model layers [real, dimension(nlev)] apeta = pressure values at model levels (full levels) [real, dimension(nlev)] peta = pressure values at model layer interfaces (half levels) [real, dimension(nlev+1)] dfl = reference values of geopotential height at half levels (m2/s2) [real, dimension(nlev+1)] wta, wtb = reference values for the weighting terms at full levels [real, dimension(nlev)] psmin = minimum allowable surface pressure for the hybrid coordinate, below this value model layers will have negative pressure weights [real] hybrid = logical flag that indicates if the hybrid coordinate is being used pzero = logical flag that indicates if the pressure at the top of the model is zero (can only be non-zero if hybrid=true). pref = reference pressure for the eta coordinate (101325. Pa) [real] tref = reference temperature for the eta coordinate (288. degK) [real] gamma = reference lapse rate for the eta coordinate (.0065 degK/m) [real]
Vgrid = vert_grid_init (eta, peta, verbose) INPUT eta The sigma/eta values at model layer interfaces (half levels). The size of this array will determine the vertical resolution (i.e., number of levels = size(eta)-1). [real, dimension(:)] OPTIONAL INPUT peta A profile of reference pressure values at model layer interfaces (half levels) used to define the HYBRID vertical coordinate. If all values of "peta" are zero (the default), then the vertical coordinate used will be a pure sigma/eta coordinate. This variable along with "eta" determine the pressure at half model levels. The size of this array must be the same as eta. [real, dimension(:), default: peta=0.] verbose Integer flag that controls the amount of printed output. [integer, default: verbose = 0] RETURNS Vgrid Derived-type variable that contains all necessary vertical grid information needed by the dynamical core. [type(vert_grid_type)] ------------------------------------------------------------------------ call compute_pres_depth ( Vgrid, pssl, pdepth ) INPUT Vgrid Derived-type variable containing vertical grid information returned by a previous call to vert_grid_init. [type(vert_grid_type)] pssl The (surface) pressure at eta = 1. [real, dimension(:,:)] OUTPUT pdepth The pressure depth (i.e., weight) for all model layers. The first 2 dimensions of pdepth must be the same as the dimensions of pssl. The third dimension of pdepth must equal the number of full model levels. [real, dimension(:,:,nlev)] ------------------------------------------------------------------------ call compute_pres_full ( Vgrid, pssl, pfull [,phalf, dpde] ) INPUT Vgrid Derived-type variable containing vertical grid information returned by a previous call to vert_grid_init. [type(vert_grid_type)] pssl The (surface) pressure at eta = 1. [real, dimension(:,:)] OUTPUT pfull The pressure at full model levels. The first 2 dimensions of pfull must be the same as the dimensions of pssl. The third dimension of pfull must equal the number of full model levels. [real, dimension(:,:,nlev)] OPTIONAL INPUT phalf The pressure at half model levels (the interface between model layers). The first 2 dimensions of phalf must be the same as the dimensions of pssl. The third dimension of phalf must equal the number of half model levels. [real, dimension(:,:,nlev+1)] dpde The pressure depth (i.e., weight) for all model layers. The first 2 dimensions of dpde must be the same as the dimensions of pssl. The third dimension of dpde must equal the number of full model levels. [real, dimension(:,:,nlev)] ------------------------------------------------------------------------ call compute_pres_half ( Vgrid, pssl, phalf ) INPUT Vgrid Derived-type variable containing vertical grid information returned by a previous call to vert_grid_init. [type(vert_grid_type)] pssl The (surface) pressure at eta = 1. [real, dimension(:,:)] OUTPUT phalf The pressure at half model levels (the interface between model layers). The first 2 dimensions of phalf must be the same as the dimensions of pssl. The third dimension of phalf must equal the number of half model levels. [real, dimension(:,:,nlev+1)] ------------------------------------------------------------------------ call compute_pres_weights ( Vgrid, phalf, pfull, wta, wtb ) INPUT Vgrid Derived-type variable containing vertical grid information returned by a previous call to vert_grid_init. [type(vert_grid_type)] phalf The pressure at half model levels (the interface between model layers). [real, dimension(:,:,nlev+1)] pfull The pressure at full model levels. [real, dimension(:,:,nlev)] OUTPUT wta Weighting term used to average data from half levels to full model levels. wta is applied to data at the half level ABOVE. [real, dimension(:,:,nlev)] wtb Weighting term used to average data from half levels to full model levels. wtb is applied to data at the half level BELOW. [real, dimension(:,:,nlev)] NOTES For input and output arrays: phalf, pfull, wta, wtb. 1) The first 2 dimensions must all be the same. 2) The third dimension must agree with the vertical resolution of the model (as stated above). ------------------------------------------------------------------------ call compute_pressures ( Vgrid, pssl, phalf, pfull [, dpde, wta, wtb] ) INPUT Vgrid Derived-type variable containing vertical grid information returned by a previous call to vert_grid_init. [type(vert_grid_type)] pssl The (surface) pressure at eta = 1. [real, dimension(:,:)] OUTPUT phalf The pressure at half model levels (the interface between model layers). [real, dimension(:,:,nlev+1)] pfull The pressure at full model levels. [real, dimension(:,:,nlev)] OPTIONAL OUTPUT dpde The pressure depth (i.e., weight) for all model layers. [real, dimension(:,:,nlev)] wta Weighting term used to average data from half levels to full model levels. wta is applied to data at the half level ABOVE. [real, dimension(:,:,nlev)] wtb Weighting term used to average data from half levels to full model levels. wtb is applied to data at the half level BELOW. [real, dimension(:,:,nlev)] NOTES For output arrays: phalf, pfull, dpde, wta, wtb. 1) The first 2 dimensions must be the same as the dimensions of input argument pssl. 2) The third dimension must agree with the vertical resolution of the model (as stated above). ------------------------------------------------------------------------ call compute_geop_height ( Vgrid, fssl, vtemp, wta, wtb, zfull [, zhalf, mask] ) INPUT Vgrid Derived-type variable containing vertical grid information returned by a previous call to vert_grid_init. [type(vert_grid_type)] fssl The geopotential height (in m2/s2) at eta = 1. Note that for the eta coordinate fssl = 0. [real, dimension(:,:)] vtemp The virtual temperature (degK) at full model levels. [real, dimension(:,:,nlev)] wta Weighting term used to average data from half levels to full model levels. wta is applied to data at the half level ABOVE. [real, dimension(:,:,nlev)] wtb Weighting term used to average data from half levels to full model levels. wtb is applied to data at the half level BELOW. [real, dimension(:,:,nlev)] OUTPUT zfull The geopotential height (in m2/s2) at full model levels. [real, dimension(:,:,nlev)] OPTIONAL OUTPUT zhalf The geopotential height (in m2/s2) at half model levels (the interface between model layers). [real, dimension(:,:,nlev+1)] OPTIONAL INPUT mask A topography mask (0. or 1.) at full model levels for the eta/step-mountain vertical coordinate. [real, dimension(:,:,nlev)] NOTES For input and output arrays: vtemp, wta, wtb, zfull, zhalf, mask. 1) The first 2 dimensions must all be the same as the dimensions of input argument fssl. 2) The third dimension must agree with the vertical resolution of the model (as stated above). ------------------------------------------------------------------------ call compute_height ( Vgrid, fssl, temp, sphum, pfull, phalf, zfull, zhalf [, mask] ) INPUT Vgrid Derived-type variable containing vertical grid information returned by a previous call to vert_grid_init. [type(vert_grid_type)] fssl The geopotential height (in m2/s2) at eta = 1. Note that for the eta coordinate fssl = 0. [real, dimension(:,:)] temp The temperature (degK) at full model levels. [real, dimension(:,:,nlev)] sphum The specific humidity (Kg/Kg) at full model levels. [real, dimension(:,:,nlev)] pfull The pressure at full model levels. [real, dimension(:,:,nlev)] phalf The pressure at half model levels (the interface between model layers). [real, dimension(:,:,nlev+1)] OUTPUT zfull The geopotential height (in meters) at full model levels. [real, dimension(:,:,nlev)] zhalf The geopotential height (in meters) at half model levels (the interface between model layers). [real, dimension(:,:,nlev+1)] OPTIONAL INPUT mask A topography mask (0. or 1.) at full model levels for the eta/step-mountain vertical coordinate. [real, dimension(:,:,nlev)] NOTES For input and output arrays: temp, sphum, pfull, phalf, zfull, zhalf, mask. 1) The first 2 dimensions must all be the same as the dimensions of input argument fssl. 2) The third dimension must agree with the vertical resolution of the model (as stated above). ------------------------------------------------------------------------ call compute_height_bottom ( Vgrid, pssl, tbot, qbot, zbot, pbot [, kbot] ) INPUT Vgrid Derived-type variable containing vertical grid information returned by a previous call to vert_grid_init. [type(vert_grid_type)] pssl The (surface) pressure at eta = 1. [real, dimension(:,:)] tbot The temperature (degK) at the lowest full model level. [real, dimension(:,:)] qbot The specific humidity (Kg/Kg) at the lowest full model level. [real, dimension(:,:)] OUTPUT zbot Height (in meters) between the surface and the lowest full model level. [real, dimension(:,:)] pbot Pressure (in pascals) between the surface and the lowest full model level. [real, dimension(:,:)] OPTIONAL INPUT kbot Vertical index of the model closest to the surface. This argument does not need to be passed for the sigma coordinate system (at all grid points it will equal the number of levels as determined from Vgrid). [integer, dimension(:,:)] NOTES 1) The size of all 2D arrays must all be the same. 2) The number of vertical levels is determined from Vgrid.
Fatal errors in compute_pres_depth incorrect dimension 3 for pdepth The third dimension of output argument pdepth must equal the number of model levels. pressure depth <= 0.0 The pressure depth of a model layer has a mass <= 0. This can only happen when running a hybrid vertical coordinate and the surface pressure becomes too small. This error may result as the model goes unstable. Fatal errors in compute_pres_full or compute_pressures incorrect dimension 3 for pfull The third dimension of output argument pfull must equal the number of model levels. Fatal errors in compute_pres_half incorrect dimension 3 for phalf The third dimension of output argument phalf must equal the number of model levels plus one. Fatal errors in compute_geop_height incorrect dimension 3 for zfull The third dimension of output argument zfull must equal the number of model levels. incorrect dimension 3 for zhalf The third dimension of output argument zhalf must equal the number of model levels plus one.
None.
There are no known bugs.
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