Maryland county exec bans police station from displaying 'divisive' 'thin blue line' flag
by Robert GeartyA county executive in Maryland has banned a police station from displaying a wooden “thin blue line” flag that was a gift from a local resident.
"The flag provides a symbol of support to some but it is a symbol of dismissiveness to others,” Montgomery County Executive Marc Elrich said in a note. “Because it is divisive, the flag will not be posted at the 5th District nor in any public space within the Police Department."
The flag, a gift to the 5th District officers from Montgomery County woodworker James Shelton, is labeled by some as a "blue lives matter" flag in response to the "Black Lives Matter" movement.
WOMAN SEEN TEARING DOWN 'THIN BLUE LINE' FLAG SOUGHT BY CALIFORNIA POLICE
A photo on the Montgomery County Police twitter page Wednesday shows Shelton and his young son presenting the artwork to three uniformed officers.
"Thank you to resident James Shelton, who presented Montgomery County 5th District officers with a wooden American Flag that he had made in recognition of National First Responders Day. The flag will be displayed in the 5th District Station."
On Friday the police department posted what it said was a note from Elrich saying otherwise.
"Acting Police Chief Marcus Jones and I understand the concerns of the community," the county executive said in the note.
He concluded by saying, “Under my administration, we are committed to improving police relations with the community and will immediately address any action that stands against our mission."
CLICK HERE TO GET THE FOX NEWS APP
Fox Baltimore first reported on Ehrlich's response to the flag gift late Friday.


| Up | TOC | Index | |||||
| << 1 Euphoria Programming Language v4.1 | < 2.2 Post Install | Up: 2 Installing Euphoria | > | 3 Using Euphoria >> |
2.3 Set Up the Euphoria Configuration File (eu.cfg)
Euphoria supports reading command line switches from configuration files. The default name for the configuration file is eu.cfg. However you can specify different ones by using the -C switch.
2.3.1 Configuration file format
The configuration file is a text file. Each line in the file is either a command line switch, a section header, an include path or a comment.
- Comments are lines that begin with a double dash "--". Everything on the line is ignored.
- A section header is a name enclosed in square brackets. eg. [interpret].
- There are a number of predefined sections.
- The lines in a section are only added to the command line switches if they apply to the mode that Euphoria is running in.
- [windows] Applies to Windows platform only.
- [unix] Applies to any Unix platform only.
- [interpret] Applies to the interpreter running in any platform.
- [translate] Applies to the translator running in any platform.
- [bind] Applies to the binder running in any platform.
- [interpret:windows] Applies to the interpreter when running under Windows only.
- [interpret:unix] Applies to the interpreter when running under Unix only.
- [translate:windows] Applies to the translator when running under Windows only.
- [translate:unix] Applies to the translator when running under Unix only.
- [bind:windows] Applies to the binder when running under Windows only.
- [bind:unix] Applies to the binder when running under Unix only.
- [all] Applies to all running modes.
- All configuration lines before the first section header are assumed to be the [all] section.
- You can have any number of section headers, but only the predefined ones are used. All lines in other sections are treated as comments.
- A command line switch is a line that begins with a single dash. The entire line is added to the actual command line as if it was originally there.
- An include path is any other line that is not one of the above. The string -I is prepended to the line and then it is added to the command line.
2.3.2 Config File Locations
When Euphoria starts up, it looks for configuration files in the following order:
- For Windows systems
- %ALLUSERSPROFILE%\euphoria\eu.cfg
- %APPDATA%\euphoria\eu.cfg
- %EUDIR%\eu.cfg
- %HOMEDRIVE%\%HOMEPATH%\eu.cfg
- From where ever the executable is run from "<exepath>/eu.cfg"
- Current working directory - "./eu.cfg"
- Command line -C switches
- For Unix systems
- /etc/euphoria/eu.cfg
- ${EUDIR}/eu.cfg
- ${HOME}/.eu.cfg
- From where ever the executable is run from "<exepath>/eu.cfg"
- Current working directory - "./eu.cfg"
- Command line -C switches
2.3.3 Config File Notes
- Euphoria processes every configuration file found, and in the order described above. This means that settings specified in earlier configuration files may be overridden by subsequent configuration files. For example, a configuration file in the current directory will override the same settings in a configuration file in the executable's directory.
- If a configuration file contains a -C switch, the new configuration file specified on that switch is processed before subsequent lines in the old file.
- A configuration file is only ever processed once. Additional references to the same file are ignored.


You can import the blocks presented here as a project or download as a library to import into your projects.
This guide includes many interactive elements that are known to run well in the Chrome or Edge browser. This chapter relies upon there being a microphone connected to your computer. (Note that when running Linux (e.g. on a Raspberry Pi) one may need to configure the system or the browser to know how to access the microphone.) There is a troubleshooting guide that should be consulted if problems are encountered.
It is much easier to get a computer to start with text and end up with speech than to start with speech and end up with the corresponding text. Typically, it is easier to get a computer to generate something than to recognize it.
Speech (and other sounds) cause vibrations in the air that cause vibrations in the computer's microphone. These vibrations are converted to numbers. Speech recognition begins with these numbers and attempts to determine what was said. As you'll see the process is not perfect, mistakes occur.
Click on the following block, say something, then click on the last thing heard variable. If all is working well you should see what you just said.
Try saying something, look at the result, click on the block again, say something else, and look again.
If you want to try another language then use the set default language command. When possible the system will use the language given if no explicit language or voice is given to more advanced listening commands. There are many ways of specifying the language: (1) use the language's name in English, (2) use the language's name in the language, and (3) give the language code followed by the dialect code. E.g. en-GB for English as spoken in Great Britain. Language codes should be one of the IETF language tags. Google's Chrome browser supports over 100 languages. If the language code and dialect code are the same you don't need to give both. E.g., fr will be treated as fr-FR.
Speech recognition can encounter errors such as the inability to access the microphone. The most common "error" is when after several seconds nothing is heard. The listen then ... block keeps listening until there is an error. When the speech recognizer notices a problem the error block is given a text error message. The error messages are "Unable to access the microphone. Perhaps another program is using it or permission has not been granted.", "No speech heard for a while.", and "Permission to use the microphone not granted.". Try the following and then be quiet for a while.
The following program uses the listen then ... block to control a sprite. You can tell it to go forward or to the turn right. It will then ask you how much and then execute the command. Say "goodbye" to quit the program. Sometimes you need to repeat what you said. Occasionally it will mishear you.
There is a full screen version of this. This program supports many ways of saying the same command word or phrase. A different program expects the user to say full sentences and looks for numbers and the command words ('forward' and 'right') to respond. This version seems much more intelligent, but is it?
A similar program could be written to control a physical device such as a robot or a set of lights.
Exercise. See if you can add a "turn left" command to the program. What else might be fun to try? Hint: how about changing size, looks, color, or more? How about doing animations in response to spoken commands?
If you click on you'll see the blocks behind the program. If you then right click on speak turtle commands and select 'edit' you'll see the following program.
Click to read an explanation of how the speech command program works
The spoken variable contains what was just recognized. The nested if-then-else commands test first for speech for exiting the program, then for forward movement, and then turning commands. If none match, then a 'not understood' response is created. Both the turning and moving commands cause the program to ask for an amount to turn or move. When a number is spoken the turtle then turns or moves appropriately.
Click to read an advanced topic
The command program relies upon what computer scientists call 'continuations'. These are blocks of code that are executed when something happens, in this case when the speech is recognized. An alternative that is popular among Scratch programmers is to rely instead upon broadcasting messages. The following implements voice commands by using a helper command called Broadcast speech recognition results and .... It broadcasts the message heard something. The program fragments that listen for heard something broadcasts need to know what was heard. The variable last thing heard is used for this. (It also broadcasts speech recognition errors and sets the speech recognition error if they occur.) This style of programming is perhaps easier for young children but it does have its limitations. For example, it is very difficult to implement a response when no other parts of the program understand what was said. The first version responds by saying it didn't understand what was said, repeats what it thinks it heard, and says to try again. The broadcast version cannot do so.
The following sentence generating program starts with a random sentence "template". The program considers any word starting with "?" to be a variable that is replaced by asking the user for something of that sort. For example,
The silly ?PLURAL-NOUN like ?ADJECTIVE bananas.
will cause the program to first ask the user for a "plural noun" and then ask for an "adjective". If the user answers "potatoes" and "gigantic" then the program says
The silly potatoes like gigantic bananas.
If you click on you'll see the blocks behind the program. Let's look at the code to see how it works.
This part of the program goes through the sentence word by word pausing when a word or phrase starts with a "?". It pauses after asking for a substitution and then calls the Broadcast speech recognition results ... command. The following code responds when something has been heard and interpreted:
It repeats what was heard and substitutes it into the list of words replacing the word starting with "?".
This example illustrates how to use speech synthesis and recognition to produce an application that is purely verbal. It is also an example of a program that crosses discipline boundaries. To generate grammatically correct (though often nonsense or silly) sentences one needs to reply upon grammatical concepts such as nouns, noun phrases, verbs, adjectives, and adverbs. Issues about number agreement and tenses arise naturally. Could a program like this work without grammatical ideas like nouns, verbs, adjectives, etc.?
This following program extends the sentence generator by adding a new feature. If it encounters a word beginning with "=" it replaces it with the last response to the request for an example of that word/phrase.
For example, consider this very short story:
This is a story about ?GIRLS-NAME. =GIRLS-NAME is ?ADJECTIVE and very ?ADJECTIVE. She travelled to ?PLACE-NAME. There she met ?BOYS-NAME who was a ?OCCUPATION in =PLACE-NAME. =GIRLS-NAME and =BOYS-NAME lived ?ADVERB ever after.
If the responses were "Juliet", "warm", "beautiful", "Verona", "Romeo", "amateur poet", and "barely" then the generated story is:
This is a story about Juliet. Juliet is warm and very beautiful. She travelled to Verona. There she met Romeo who was a amateur poet in Verona. Juliet and Romeo lived barely ever after.
You may want to enhance the program to turn "a amateur" into "an amateur". Try changing it to have a different template story.
If you click on you'll see the blocks behind the program.
The following demo is a bit like Alexa, Cortana, and Google Assistant. It asks the user to say something and then sends those words off to Wikipedia. Typically, there are many matches so it picks one at random and says it.
The following is a demo of a very simple speech interface to a weather service. It asks for the name of a city and says the current and forecasted temperature. The weather program can be enhanced in many ways. It can ask what weather information is desired, for example.
Speech recognition can be used to transcribe spoken speech. Those unable to type or write can use it to communicate textually and to generate notes and reports. There are many specialized contexts where it can be very useful. For example, doctors can produce transcripts of their conversations with patients, thereby improving the patient's records. Automatic transcription can enable textual searches within videos. It can be used to generate captions for videos. Combined with translation, speech recognition can provide input to translation services and its output can be converted to speech in another language.
Another use of speech recognition is as an interface to computers or digital artifacts. An application or a robot can be constructed that takes verbal commands. This is particularly empowering for people with disabilities who can't themselves perform those tasks. Assistants like Siri or Alexa can provide helpful responses to spoken queries. Verbal input and output can be the safest way to communicate in some circumstances such as when driving or piloting.
Like many technologies speech recognition can be misused. It could be used for widespread spying on a population. It could be part of the basis for replacing human interactions with call-center help services with computers that lack the kind of understanding and empathy that people can provide. By reducing drastically the cost of telemarketing calls by automating them they can become a more frequent annoyance. The use of companion robots to provide social support is controversial since again the robots may lack understanding and empathy. Speech technology has become part of interactive toys and some argue that children become too emotionally attached to them.
The benefits and dangers of speech technology could be good topic for student discussions.
Do you think the benefits outweigh the dangers? Is there a way the dangers can be avoided?
It begins with the microphone that converts vibrations in the air (i.e. sounds) to numbers (using something called an analog-to-digital converter). The digitized sound is broken into short segments (hundredths or thousandths of a second long) and fed into a recognition engine. Today the best ones rely upon neural nets. Complex statistical programs are also often used.
There are many challenges including the wide range of voices, dialects, and accents that a speech recognition engine may encounter. There is often background noise that needs to be removed from the signal.
Other challenges come from the complexity of human languages. There are many words that are homonyms, different words that sound the same. Separating speech into separate words is difficult. A classic example is how "recognise speech" sounds a lot like "wreck a nice beach".
As one uses the blocks and sample programs of this chapter one will often encounter errors. These are sometimes amusing, especially when it leads the program to do something silly. For applications where computer mistakes can cause serious problems one can build the interface so it asks confirmation before proceeding. It is interesting to compare speech recognition errors to the kind and frequency of the errors that humans make when listening to speech.
Exercise. Find a list of things that people mishear or use the examples in this article about lyrics that people misunderstand. See how well the listen block does when saying these examples. Does the system make the same kinds of mistakes people do? What can one say about a speech recognizer if it makes the same mistakes as people? What if its mistakes are different?
The speech recognition engines typically can do more than the basic listen then ... block described above. One can specify which language is expected. The engine can report interim results and alternative results. It can provide 'confidence' values indicating how certain it is that it recognized the speech correctly. All of these functionalities are provided by this block:
The arguments to this block are (any of them can be left blank):
Note that for Google's speech recognition engine currently only the first alternative has a non-zero confidence.
Watching the interim results can provide some insight into the process of recognition. For example, if you say "red" you'll see "red" but if you soon afterwards say "a book" you'll see "red" become "read a book". You can see the same phenomenon at this Google demo.
There is much one can explore with the 'language' option. For example, if one selects 'fr-FR' (French as spoken in France) and then says "une deux trois quatre five six" the result is "1 2 3 4 5 6". Notice that it recognizes both French and English. (English is probably used because it is the operating system language setting on my computer -- if your computer is configured with another language it probably will be the default.) Strangely if with English you say "one two three four five six" you get those words, not the digits one sees with the French setting.
Exercise. Explore how well the system recognizes numbers in different languages. You can use Google Translate to learn how to say numbers in languages you don't know. Try fractions and negative numbers. Try very big numbers.
Here are some ideas for projects using speech recognition (and sometimes also use speech synthesis as described in the previous chapter).
This documentation of speech recognition is a very complete description of speech recognition features browsers should support. (Chrome and Edge currently are the browsers but other browser developers are working on it.)
How stuff works has a clear explanation of how speech recognition systems work and what the challenges are. (Though it is a bit dated.)
Wikipedia, as usual, covers the topic well.
We wrote a paper entitled Child-friendly programming interfaces to AI cloud services that discusses these Snap! speech synthesis and recognition blocks.
You can import the blocks presented here as a project or download them as a library to import into your projects.
Go to the next chapter on image recognition.
Return to the previous chapter on speech output.


| Opcode | Instruction | 64-Bit Mode | Compat/Leg Mode | Description |
| 9B DB E3 | FINIT | Valid | Valid | Initialize FPU after checking for pending unmasked floating-point exceptions. |
| DB E3 | FNINIT* | Valid | Valid | Initialize FPU without checking for pending unmasked floating-point exceptions. |
Notes: * See IA-32 Architecture Compatibility section below.
Sets the FPU control, status, tag, instruction pointer, and data pointer registers to their default states. The FPU control word is set to 037FH (round to nearest, all exceptions masked, 64-bit precision). The status word is cleared (no exception flags set, TOP is set to 0). The data registers in the register stack are left unchanged, but they are all tagged as empty (11B). Both the instruction and data pointers are cleared.
The FINIT instruction checks for and handles any pending unmasked floating-point exceptions before performing the initialization; the FNINIT instruction does not.
The assembler issues two instructions for the FINIT instruction (an FWAIT instruction followed by an FNINIT instruction), and the processor executes each of these instructions in separately. If an exception is generated for either of these instructions, the save EIP points to the instruction that caused the exception.
This instruction’s operation is the same in non-64-bit modes and 64-bit mode.
When operating a Pentium or Intel486 processor in MS-DOS compatibility mode, it is possible (under unusual circumstances) for an FNINIT instruction to be interrupted prior to being executed to handle a pending FPU exception. See the section titled “No-Wait FPU Instructions Can Get FPU Interrupt in Window” in Appendix D of the Intel®64 and IA-32 Architectures Software Developer’s Manual, Volume 1, for a description of these circumstances. An FNINIT instruction cannot be interrupted in this way on a Pentium 4, Intel Xeon, or P6 family processor.
In the Intel387 math coprocessor, the FINIT/FNINIT instruction does not clear the instruction and data pointers.
This instruction affects only the x87 FPU. It does not affect the XMM and MXCSR registers.
FPUControlWord ← 037FH; FPUStatusWord ← 0; FPUTagWord ← FFFFH; FPUDataPointer ← 0; FPUInstructionPointer ← 0; FPULastInstructionOpcode ← 0;
C0, C1, C2, C3 set to 0.
None.
| #NM | CR0.EM[bit 2] or CR0.TS[bit 3] = 1. |
| #MF | If there is a pending x87 FPU exception. |
| #UD | If the LOCK prefix is used. |
Same exceptions as in protected mode.
Same exceptions as in protected mode.
Same exceptions as in protected mode.
Same exceptions as in protected mode.


Controls
The Time Machine. By H.G. Wells. The Time Traveller (for so it will be convenient to speak of him) was expounding a recondite matter to us.  The fire burned brightly, and the soft radiance of the incandescent lights in the lilies of silver caught the bubbles that flashed and passed in our glasses. Our chairs, being his patents, embraced and caressed us rather than submitted to be sat upon, and there was that luxurious after-dinner atmosphere when thought roams gracefully free of the trammels of precision. And he put it to us in this way—marking the points with a lean forefinger—as we sat and lazily admired his earnestness over this new paradox (as we thought it) and his fecundity.
Share Drawing
Draw and share a story.
Tweet
(more experiments)
Draw and share a story.
Tweet
(more experiments)


抱歉，当前图片未能通过审查，可能含有不良内容，故无法进行加载。
Sorry, the current image failed to pass the review and may contain undesirable content, so it cannot be loaded.
Powered By:
Telegraph-Image


|
| virtual void | applyInverseDeriv (const Vector< Scalar > &x, const Vector< Scalar > &dy, Vector< Scalar > &dx) const =0 |
| |
| virtual void | applyAdjInverseDeriv (const Vector< Scalar > &x, const Vector< Scalar > &dx, Vector< Scalar > &dy) const =0 |
| |
| DerivEvaluation< Scalar > * | createDerivEvaluation (OperatorEvaluation< Scalar > &opeval) const |
| |
| virtual void | apply (const Vector< Scalar > &x, Vector< Scalar > &y) const =0 |
| | 1-jet at a point, accessible only through OperatorEvaluation and subclasses. More...
|
| |
| virtual void | applyDeriv (const Vector< Scalar > &x, const Vector< Scalar > &dx, Vector< Scalar > &dy) const =0 |
| | More...
|
| |
| virtual void | applyAdjDeriv (const Vector< Scalar > &x, const Vector< Scalar > &dy, Vector< Scalar > &dx) const =0 |
| | More...
|
| |
| virtual void | applyDeriv2 (const Vector< Scalar > &, const Vector< Scalar > &, const Vector< Scalar > &, Vector< Scalar > &) const |
| |
| virtual void | applyAdjDeriv2 (const Vector< Scalar > &, const Vector< Scalar > &, const Vector< Scalar > &, Vector< Scalar > &) const |
| | , defined so that . More...
|
| |
| void * | operator new (size_t size) |
| | operator new - not available to general public, but available to children who will use it to define clone More...
|
| |
| virtual Operator< Scalar > * | clone () const =0 |
| | virtual copy contructor, also accessible only through OperatorEvaluation. More...
|
| |
| DerivEvaluation< Scalar > * | createDerivEvaluation (OperatorEvaluation< Scalar > &opeval) const |
| | Virtual derivative constructor. More...
|
| |
| Deriv2Evaluation< Scalar > * | createDeriv2Evaluation (OperatorEvaluation< Scalar > &opeval) const |
| | Virtual 2nd derivative constructor. More...
|
| |
|
| static std::shared_ptr< Operator< Scalar > > | clonePtr (Operator< Scalar > const &op) |
| | safe dynamic copy construction More...
|
| |
| static void | export_apply (Operator< Scalar > const &f, const Vector< Scalar > &x, Vector< Scalar > &y) |
| | The export-apply methods make the protected apply methods of any Operator subclass instance available to other Operator subclass instances. More...
|
| |
| static void | export_applyDeriv (Operator< Scalar > const &f, const Vector< Scalar > &x, const Vector< Scalar > &dx, Vector< Scalar > &dy) |
| |
| static void | export_applyAdjDeriv (Operator< Scalar > const &f, const Vector< Scalar > &x, const Vector< Scalar > &dy, Vector< Scalar > &dx) |
| |
| static void | export_applyDeriv2 (Operator< Scalar > const &f, const Vector< Scalar > &x, const Vector< Scalar > &dx0, const Vector< Scalar > &dx1, Vector< Scalar > &dy) |
| |
| static void | export_applyAdjDeriv2 (Operator< Scalar > const &f, const Vector< Scalar > &x, const Vector< Scalar > &dx0, const Vector< Scalar > &dy, Vector< Scalar > &dx1) |
| |
| static Operator< Scalar > * | export_clone (Operator< Scalar > const &op) |
| | export version of clone More...
|
| |
template<class Scalar>
class RVL::OperatorWithInvertibleDeriv< Scalar >
Operators whose derivatives are supplied with inverse mappings.
Natural grist for Newton mill.
Definition at line 1504 of file op.hh.


Trump 2020 Spox: Donors 'Coming Out of the Woodwork,' 100k More Volunteers Because of Impeachment | Breitbart
by Jeff PoorWhile impeachment proceeds are being applauded by many on the side of the Democratic Party, it is also affecting Republicans.
During a Wednesday appearance on Huntsville AL radio’s WVNN, Trump 2020 director of strategic communications Marc Lotter explained how Trump supporters were getting involved because of the impeachment efforts conducted by House Democrats.
“As we’ve seen from the campaign, it is absolutely, and it is unfortunate,” Lotter said on “The Jeff Poor Show.” “But it’s definitely having an impact. We’ve had 100,000 more volunteers. Donors are coming out of the woodwork. We’re raising record amounts of money. It is galvanizing people and even people in the middle who are seeing the Democrats are just consumed with impeachment. They’ve been wanting to do this. The Washington Post actually posted a story 19 minutes after the president took the oath of office. He was giving his inaugural address, and the post was already talking about impeachment.”
Follow Jeff Poor on Twitter @jeff_poor


In top-5 among 46 projects in the course @ CMU 11-785 - Introduction to Deep Learning (Fall 2020) - Project Gallery
Intro
Reinforcement learning (RL) is a powerful learning technique that enables agents to learn useful policies by interacting directly with the environment. While this training approach doesn’t require labeled data, it is plagued with convergence issues and is highly sample inefficient. The learned policies are often very specific to the task at hand and are not generalizable to similar task spaces.
Meta-Reinforcement Learning is one strategy that can mitigate these issues, enabling robots to acquire new skills much more quickly. Often described as “learning how to learn”, it allows agents to leverage prior experience much more effectively. Recently published papers in Meta Learning show impressive speed and sample efficiency improvements over traditional methods of relearning the task for slight variations in the task objectives. A concern with these Meta Learning methods was that their success was only achieved on relatively small modifications to the initial task.
Another concern in RL, as highlighted by Henderson et al., is reproducibility and lack of standardization of the metrics and approaches, which can lead to wide variations in reported vs observed performances. To alleviate that, benchmarking frameworks such as Meta-World and RLBench have been proposed that establish a common ground for a fair comparison between approaches. In this work, we aim to utilize the task variety proposed by Meta-World and compare PPO, a vanilla policy gradient algorithm, with their Meta Learning counterparts (MAML and Reptile). The objective is to verify the magnitude of success of meta-learning algorithms over the vanilla variants, and test them on a variety of complicated tasks to test their limits in responding to the size of task variations. We also introduce a new technique — Multi-headed Reptile, which proposes a novel approach to address some of the shortcomings of both these Meta-Learning techniques, with some computational implementation suggestions that prevent slowdown.
Results
The figure above compares the success rate of each model averaged over the 10 test tasks after initial training on other tasks. MAML and Reptile both converge to 80% success rate within 100 iterations, whereas Multi-headed Reptile and random-initialized (Vanilla PPO) require 150 and 225 iterations respectively.
As theorized, both MAML and Reptile converge significantly more quickly than Vanilla PPO. Interestingly, even in the first iteration, these two meta-learning techniques achieve around 40% success rate, demonstrating their learned behaviour about the nature of the task distribution.
However, we found that Multi-headed Reptile does not work as well as we expected, performing just as well as Vanilla PPO. Although Multi-headed Reptile converged in fewer iterations than Vanilla PPO, its poor initial performance indicates that it failed to initialize weights optimally. As a sanity check, Vanilla PPO indeed has poor initial performance due to randomly initialized weights.
Tools
- RLBench provided the baseline robot environment that we built upon.
- Stablebaselines3 provided the vanilla PPO algorithm.
- Ray provided an easy solution to creating multiple, independent simulation workers to train different copies of the model on different tasks.
- Wandb was critical to help us manage different training runs and keep track of experiments.
Contribution
I first built much of the initial training and evaluation pipeline, eventually getting PPO to train properly on the reach task. Due to the robotic application, I had to restrict the magnitude of the agent's output actions to be physically feasible. See this Git issue for more details. Without this, many of the agents' actions would trigger errors in the simulator's inverse kinematics solver, and initial training would be extremely slow.
I next wrote much of MAML and Reptile. See here for our implementation. I also helped modify our architecture to utilize Ray for parallelization over independent tasks, as in the case of Multi-headed Reptile. See here for hyperparameters.
Thoughts
Meta-learning certainly shows much promise, as indicated by the initial high success rate of MAML and Reptile. However, I'd like to see these algorithms' performance on more complicated tasks besides the basic reach task. These results unfortunately were achieved with a strong reward signal (Euclidean distance of End-effector (EE) from target), and since action space was delta EE position, the model in effect only had to learn the vector from current position to target. I wonder how use of a sparse reward would change performance. For robots to solve any general task in households or factories, rewards should not need to be hand-designed.


Senior software engineer, expert in the analysis, design and development of open
source web-based information systems. Strong experience in Web 2.0 technologies
for the management, manipulation and dissemination of statistical data and
micro-data. Excellent problem solving skills, enjoy working as a team member
as well as independently.
Senior developer for the Flatmates team.
Software developer for Products and Purchasing teams.
Senior software engineer responsible for the design and development of web tools capable of
managing, manipulating and disseminating big data in the field of agriculture and food security.
Part of the team responsible for the analysis of the users' requirements and the production
of the technical specifications of the web service for the development team.
Developer of a MATLAB software for the computation of the parameters for the SAR image
acquisition of the COSMO-SkyMed satellites.
Responsible for the design and the implementation of a new architecture based on web services
for the back-end and JavaScript widgets for the front-end. The resulting version 3 of FAOSTAT
is faster and more user friendly compared to the previous versions, and it has been visited
by more than 2.6 million users since its launch in May 2012.
Responsible for the integration of the GHG database with the FAOSTAT dissemination system
and for the design and implementation of custom GHG features within FAOSTAT. The implemented
FAOSTAT-GHG integration is widely used worldwide as a data source for working papers and
articles aimed at the mitigation of climate change in agriculture.
FPMU
(FAO, Dhaka, Bangladesh)
Responsible for the design and the development of web tools used to collect and disseminate,
through the institutional web site, food security related data. The system is still in place
and it generates and publishes charts of market price trends for the main commodities every day.
As part of my duties, I also recruited and supervised a local software developer.
SIFSIA
(FAO, Khartoum, Sudan / Juba, South Sudan)
Responsible for the development of web based tools designed in collaboration with the local
institutions and ministries for the management, visualization and analysis of statistical data.
In 2009 and 2010 I have organised and lead two training workshops in Khartoum and Juba
assisting local staff in the use of these tools to improve their work. These activities lead
to the collection of better quality data, and it provided the tools to effectively share
such information.
As part of the core team of the project I am responsible for the analysis, the design and the
development of the main components of the system. Such components need to be engineered to be
as generic and performant as possible, in order to be able to serve a diverse audience of users.
The FENIX Platform is currently used as the engine for some of the flagship information systems
of the organization, such as
FAOSTAT,
CountrySTAT,
ADAM and
AMIS.
Sunrise
(Accenture, Rome, Italy)
During my very first working experience I have been part of the team in charge of the
analysis of customer requirements and the consequent production of the technical
specifications for the developers team. I have worked on releases two and three of the
Sunrise project, which provides the backend for the internet services of the main Italian
telephone company, which has also been exported to Germany, France and the Czech Republic.
M.Sc. Computer Science Engineering
B.Sc. Telecommunications Engineering
Instituto Português Santo Antonio em Rome
Programming Languages
Java, Python, JavaScript, Ruby, Scala, Elm
Operative Systems
Windows, Ubuntu, Xubuntu, Red Hat, OSX
Databases
PostgreSQL, SQL Server, MySQL, MongoDB
Application Servers
Apache, Tomcat, Nginx
GIS
ArcGIS, QGIS, OGR/GDAL
Amazon Web Services
CloudFormation, Lambda, CloudWatch, SNS, SQS
Taiwan “Huayu Enrichment” Scholarship Winner
© 2016-8 Guido Barbaglia


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 113488general/65330cfarmtetaneutralnetCompileFarm.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/113488-general/topic/cfarm.2Etetaneutral.2Enet.20-.20Compile.20Farm.html


com.hp.gloze.Gloze Class Reference
List of all members.
Public Member Functions |
| | Gloze () |
| | Gloze (boolean silent) |
| | Gloze (URL schemaLocation, URI targetNS) throws Exception |
| | Gloze (URL[] schemaLocation, URI[] targetNS) throws Exception |
| void | xml_to_rdf (File source, File target, URI base, Model model) throws Exception |
| Document | rdf_to_xml (File source, File target, URI base, Model model) throws Exception |
| OntModel | xsd_to_owl (File source, String base) throws Exception |
| Model | lift (Document xml, URL url, URI base) throws Exception |
| boolean | lift (Document xml, URL url, URI base, Model model) throws Exception |
| Document | drop (Model model, URI uri) throws Exception |
| Document | drop (Resource resource) throws Exception |
Static Public Member Functions |
| static schema | loadSchema (URL url) throws Exception |
| static void | clearCache () |
| static schema | getCachedSchema (String namespace) |
| static schema | initSchema (URI namespace, URL url, Map< URL, schema > schemaMap) throws Exception |
| static schema | initSchemaXSI (Element element, URL location, String defaultNS, Map< URL, schema > schemaMap) throws Exception |
| static schema | initSchemaLocation (URI namespace, URL schemaLocation, String defaultNS, Map< URL, schema > schemaMap) throws Exception, URISyntaxException |
| static void | main (String args[]) |
Detailed Description
The programmatic interface for Gloze.
Constructor & Destructor Documentation
| com.hp.gloze.Gloze.Gloze |
( |
|
) |
|
Create an instacen of Gloze.
| com.hp.gloze.Gloze.Gloze |
( |
boolean |
silent |
) |
|
Construct an instance of Gloze. If no target is provided then the output is normally written to the console. This constructor provides the option to silence this output, and is useful for test purposes.
- Parameters:
-
| silent | : boolean disables output where no target is supplied |
| com.hp.gloze.Gloze.Gloze |
( |
URL |
schemaLocation, |
|
|
URI |
targetNS | |
|
) |
| | throws Exception |
Construct an instance of Gloze for a schema with the given target namespace.
- Parameters:
-
| schemaLocation | : URL |
| targetNS | : URI |
- Exceptions:
-
| com.hp.gloze.Gloze.Gloze |
( |
URL[] |
schemaLocation, |
|
|
URI[] |
targetNS | |
|
) |
| | throws Exception |
Construct an instance of Gloze given multiple schema locations and target namespaces.
- Parameters:
-
| schemaLocation | : array of URLs |
| targetNS | : array of URIs |
- Exceptions:
-
Member Function Documentation
| static void com.hp.gloze.Gloze.clearCache |
( |
|
) |
[static] |
| Document com.hp.gloze.Gloze.drop |
( |
Resource |
resource |
) |
throws Exception |
Drop RDF resource into XML. The Gloze instance should be pre-initialised with the relevant XML schema.
- Parameters:
-
| resource | resource representing the root of the XML document |
- Returns:
- XML Document
| Document com.hp.gloze.Gloze.drop |
( |
Model |
model, |
|
|
URI |
uri | |
|
) |
| | throws Exception |
Drop RDF model into XML (starting with named resource). The Gloze instance should be pre-initialised with the relevant XML schema.
- Parameters:
-
| model | containing the RDF meta-data |
| uri | the (named) root of the XML output |
- Returns:
- XML Document
| static schema com.hp.gloze.Gloze.getCachedSchema |
( |
String |
namespace |
) |
[static] |
Get a schema from the static cache.
- Parameters:
-
- Returns:
- schema instance
| static schema com.hp.gloze.Gloze.initSchema |
( |
URI |
namespace, |
|
|
URL |
url, |
|
|
Map< URL, schema > |
schemaMap | |
|
) |
| | throws Exception [static] |
Initialise a gloze instance with a schema given its URL and target namespace. The schemaMap is updated with the new mapping.
- Parameters:
-
| namespace | : URI |
| url | : schema location URL |
| schemaMap | : Maps schema location to schema instance |
- Exceptions:
-
| static schema com.hp.gloze.Gloze.initSchemaLocation |
( |
URI |
namespace, |
|
|
URL |
schemaLocation, |
|
|
String |
defaultNS, |
|
|
Map< URL, schema > |
schemaMap | |
|
) |
| | throws Exception, URISyntaxException [static] |
Add the schema, with given namespace and location, to the schema map.
- Parameters:
-
| namespace | : the preferred namespace |
| schemaLocation | |
| defaultNS | : used if no namespace is supplied |
| schemaMap | : updated with the new schema mapping |
- Returns:
- schema instance
- Exceptions:
-
| Exception | |
| URISyntaxException | |
| static schema com.hp.gloze.Gloze.initSchemaXSI |
( |
Element |
element, |
|
|
URL |
location, |
|
|
String |
defaultNS, |
|
|
Map< URL, schema > |
schemaMap | |
|
) |
| | throws Exception [static] |
Initialise schema from schema location(s) defined in an xml element (typically the document element or an element corresponding to an xs:any wild-card).
- Parameters:
-
| element | : potentially containing a schemaLocation |
| location | : URL of this XML document. |
| defaultNS | used instead of the schema URL. |
| schemaMap | maps schema location to schema instance. |
- Exceptions:
-
| boolean com.hp.gloze.Gloze.lift |
( |
Document |
xml, |
|
|
URL |
url, |
|
|
URI |
base, |
|
|
Model |
model | |
|
) |
| | throws Exception |
Lift XML (document) into RDF metadata, adding to existing model. The Gloze instance should be pre-initialised with the relevant XML schema.
- Parameters:
-
| xml | input document |
| url | location of the input document (required for resolving relative schema location) |
| base | : URI of input document base |
| model | output model |
- Returns:
- boolean indicating success or failure.
- Exceptions:
-
| Model com.hp.gloze.Gloze.lift |
( |
Document |
xml, |
|
|
URL |
url, |
|
|
URI |
base | |
|
) |
| | throws Exception |
recommended programmatic interfaces Lift XML (document) into RDF metadata, creating a new model. The Gloze instance should be pre-initialised with the relevant XML schema.
- Parameters:
-
| xml | input document to lift |
| url | location of the input document (required for relative schema location) |
| base | : URI of the input document base |
- Returns:
- model
| static schema com.hp.gloze.Gloze.loadSchema |
( |
URL |
url |
) |
throws Exception [static] |
Load schema with URL into a static cache. The schema is not associated with a gloze instance.
- Parameters:
-
- Returns:
- schema instance
- Exceptions:
-
| static void com.hp.gloze.Gloze.main |
( |
String |
args[] |
) |
[static] |
Gloze main program. The main input parameter is XML to lift or RDF to drop. This is followed by an (optional) sequence of targetNamespace schemaLocation pairs, followed by a single (optional) no-namespace schema location.
| Document com.hp.gloze.Gloze.rdf_to_xml |
( |
File |
source, |
|
|
File |
target, |
|
|
URI |
base, |
|
|
Model |
model | |
|
) |
| | throws Exception |
Drop RDF metadata into XML (given source and target files). The Gloze instance should be pre-initialised with the relevant XML schema. The model should be initialised with a prefix map used to define define xml namespaces.
- Parameters:
-
| source | RDF |
| target | file |
| base | URI for XML |
| model | containing a prefix map. |
- Returns:
- XML document
| void com.hp.gloze.Gloze.xml_to_rdf |
( |
File |
source, |
|
|
File |
target, |
|
|
URI |
base, |
|
|
Model |
model | |
|
) |
| | throws Exception |
Lift XML to RDF metadata (given source and target files). The Gloze instance should be pre-initialised with the relevant XML schema.
- Parameters:
-
| source | document |
| target | file |
| base | of the XML document |
| model | for the RDF |
| OntModel com.hp.gloze.Gloze.xsd_to_owl |
( |
File |
source, |
|
|
String |
base | |
|
) |
| | throws Exception |
Lift XML schema to OWL ontology.
- Parameters:
-
| source | schema |
| base | of the ontology |
- Returns:
- ontology


Charlie Carter
1/2 of the Teen Brigade!
Registered: Nov 2002
Location: Wherever your imagination takes you...
Posts: 352 |
A Game VII
Okay, gaters, no word limit, but try to keep it down, 'kay?
Here we go...
A short moment ago, in a galaxy not-so-far-away, there was a team called SG-1: Colonel Jack O'Neill, Major Sam Carter, Jonas Quinn and Teal'c. They were, at this moment, discussing the delights of pie. Jack was saying that pie is ...
__________________
Bovine Revolutionary No. 23 || Gater || Serious Manic || Amateur Agony Aunt || Love child of Legolas and Venus
Report this post to a moderator | ? + *
|


×
Instruction
1.This game is for 1 hour
2.There are three levels in this game.
3.The Organising Committee's decision would be final and binding
4.The team with the maximum score and minimum time shall be declared winner
5.Editor has been provided for your aid.
6.Time would be deducted on refreshing the page
7.Do not refresh the page


FDS -
Smokeview -
Bundle
Preliminaries
- Update configuration file.
- Update Windows, Linux and OSX repositories.
- Build
FDS,
Smokeview and utilities.
- Update and commit release notes for FDS and Smokeview.
- Build guides using latest FDS and Smokeview (after running respective bots).
- Copy updated manuals to FIRE-LOCAL/reports/fds_manuals, then commit.
- Update FIRE-LOCAL on all platforms
Bundles
Other
Engineering Laboratory
National Institute of Standards and Technology
Gaithersburg, MD 20899


the and human that virus viruses animal with â€". are for from viral this host have proteins these humans replication The will can {background []. Ebola has their HIV Virol. factors immunity margin new species PLoS been influenza not receptor {border-style This because editor. protein zoonosis zoonotic immunodeficiency px;} replicate restriction which #ffffff;} between ./JVI.- first receptors spread was animals one HIV- [,]. cells humans. immune mutations selection sequence themselves then Host adaptive interaction many may only they For SIV evolution high its key through Virus bats but disease host. how innate nuclear surface transmission variants ./j.chom... Animal Microbe. NPC Nature. Pathog. World all barriers e./journal.ppat. important most other replicating simian those would Human bat block during factor few identify infect infected infection interact interactions more primate respiratory shown typically viruses. (Table ./nature Cell SawyerSL. Viral [â€"]. after also any blocks chimpanzees dengue even genes infection. into mice must our population potential px; required reservoir some such there transcription under vast very virus, well why {font-family ANPA EmermanM. Mutations Viruses adaptation adapted associated avian become cells. critical different each enzyme factors, font-size glycoprotein humans, increased itself known major majority might natural need order process relevant require viruses, when > APOBEC APOBECH Avian Fig However, Med. MeyersonNR, Mouse New Protein RanBP SIVcpz These activator antiviral cellular class dangerous double; emergence event found genetic including infectious instance, just less mammalian model mutation nature ortholog protecting replication. role selective than time tree understanding use variant (step ACE African Biol. But Genet. How MalikHS, MalikHS. Nat PVR STAT Science. While []). activity acute against already another arise barrier before begin body border-color border-width bottleneck caused cells, chimpanzee complex coronavirus coronaviruses encode entry escape ever evolving example, experimental family gene genetics get highly identified intracellular like make models mouse often opportunity others out pandemic polymerase positive possible rate receptor, receptors, severe solid; steps study titers transferrin transgenic two type unique useful version versions were zoonosis. {font-style {font-weight (Box (or ./pnas. ./science. ;(): Based DemoginesA, FarzanM, Infect Influenza MHC PNAS. Positive Replication Tetherin, Vpu [,] [], ability able adapt al.The being blocking bold compatible contact containing courier; currently data differences discuss donâ€™t e./journal.pgen. em; emerged emergence. encephalitis evolutionary examples exceedingly exist express external fever global group had hosts hostâ€"virus identifying infections initial know laboratory monkey monkeys monkeys. multiple nature, nature. now origin particular path pathogens proteins) proteins, pt;} pyramid rare rhesus selected several signal significant small soldiers specific subunit support syndrome system them them. this, transducer transmitted vif virus; what within â€" â€".e.


Preparation time
1-2 hours
Cooking time
30 mins to 1 hour
Serves
Serves 8
Dietary
A sure-fire hit with tea lovers everywhere, this version of the traditional Bakewell tart uses cherry jam instead of raspberry.
For the pastry, place the flour, butter, sugar and egg into a food processor and pulse to combine. If necessary, add a little milk to help bring the mixture together.
 Carefully lift into the tin, then place into the fridge to chill for an hour.
Preheat the oven to 200C/400F/Gas 6.
Fill the tart case with a sheet of greaseproof paper weighed down with baking beans or rice. Bake the tart case blind in the oven for 15-20 minutes.
Remove the paper and beans and brush the pastry all over with beaten egg. Return to the oven for a further five minutes, until golden-brown. Remove from the oven and turn the oven temperature down to 180C/350F/Gas 4.
For the filling, beat the butter and sugar together in a bowl until pale and fluffy.
Mix in the ground almonds, then crack in the eggs one at a time, beating well between each addition - don't worry if the mixture begins to split, just add a little of the flour.
Fold in the lemon zest and the flour.
Spread some of the jam generously across the base of the pastry, leaving a 2.5cm/1in gap around the edge.
Spread the filling mixture over the jam and sprinkle over the flaked almonds.
Transfer to the oven and bake for 20 minutes, or until set and golden-brown. Allow to cool in the tin before serving in slices.


Check your answers before sending your application
Check eligibility, cost and time |
||
|---|---|---|
| Vehicle weight when empty: | 1,525 kg or more | Change Name |
| Operating exempt vehicles: | No | Change Name |
| Carrying passengers: | No | Change Name |
| Trade plates: | No | Change Name |
| Carrying passengers: | No | Change Name |
| Trade plates: | No | Change Name |
| Less than 6 miles a week: | No | Change Name | Transporting just your goods: | Yes | Change Name | Hired transport manager: | Yes | Change Name |
Read the rules |
||
|---|---|---|
| Read rules: | Yes | Change Name |
Your contact details |
||
|---|---|---|
| Name: | Business Ltd | Change Name |
| Companies House number: | 00000000 | Change Name |
| Contact details: |
First line of address Second line of address Contact: Contact Name Tel: 01234 567 890 Email<EMAIL_ADDRESS>|
Change Contact details |
| How to contact: | By email | Change How to be contacted |
Do training |
||
|---|---|---|
| Completed training: | Yes | Change Name |
| Certificate number: | A232 R234 J442 | Change Name |
Check criminal history |
||
|---|---|---|
| Apply for DBS check: | Yes | Change Name |
| DBS certificate number: |<PHONE_NUMBER>90 | Change Name |
Give medical information |
||
|---|---|---|
| Diebetes | No | Change Recovery facilities name |
| GP / specialist: |
Clinician name First line of address Second line of address Contact: Contact Name Tel: 01234 567 890 Email<EMAIL_ADDRESS>|
Change Contact details |
Get references |
||
|---|---|---|
| Referee one: |
Referee name First line of address Second line of address Contact: Contact Name Tel: 01234 567 890 Email<EMAIL_ADDRESS>|
Change Contact details |
| Referee two: |
Referee name First line of address Second line of address Contact: Contact Name Tel: 01234 567 890 Email<EMAIL_ADDRESS>|
Change Contact details |
Provide photograph |
||
|---|---|---|
| Photograph: | Uploaded | Change Name |
| Photograph correct: | Yes | Name |
Now send your application
By submitting this application you're confirming that, as far as you know, the details you're providing are correct.


CP NewsAlert: John Mann of group Spirit of the West dead at 57
by The Canadian PressEDMONTON — John Mann, lead singer and songwriter for Vancouver’s beloved Celtic-inflected rock band Spirit of the West, has died.
He was 57.
Eric Alper, the band’s publicist, says Mann died peacefully in Vancouver on Wednesday from early onset Alzheimer’s, the disease with which he was diagnosed several years ago.
A four-time Juno nominee for his work with Spirit of the West, Mann and his band became underground heroes for their politically savvy, musically diverse songwriting, which fused traditional strains of folk, Celtic and turn-of-the-’90s alt-rock.
In his later years, Mann survived cancer — and wrote about it — only to suffer from early onset Alzheimer’s, though he determinedly continued performing as he faced the condition.
Mann had two children, son Harlan and daughter Hattie, with his wife, the playwright Jill Daum.
The Canadian Press


| DOSE: |
30 mg |
oral |
Scopolamine |
(powder / crystals) |
| |
30 mg |
IM |
Scopolamine |
(powder / crystals) |
This experience was so radical I still remember it vividly after 30 years.
 We went thru the hard stuff MS, Diluadid, Dexoxyn, etc. With a rip roaring drug habit I started digging thru all the little bottles of unknown stuff. Thats when I came across the vial of pure Scopolamine Hydrobromide used for compounding and formulation.
The Drug Reference said it was used in over the counter sleep tablets, and I needed some sleep bad. I swallowed about ½ grain and injected ½ grain. BIG MISTAKE.
It was about 9:00pm and I don’t remember much of the next 12 hours.  At times I felt perfect, except I couldn’t walk and the hallucinations were so vivid I thought they were real. I was so bad my stepson helped me get to a payphone to call the ambulance but the numbers on the phone were backward like in Russian.
The fire department came and took me to the ER. My body was like on a PCP overdose, and I could not even stay on the exam bed but kept slipping off onto the floor. It was funny cause I would go from a clear mind to talking to people who were not there. They shot me with valium 3 times to no effect. My heart rate was over 200 and my mouth so dry I could not talk.
The cops came, accused me of resisting arrest, and put me in a choke hold.  There I kept seeing a detective shove his handgun into the cell and pull the trigger. “Click” but no shot. He would laugh and pull his hand out. This happened over and over. Then I saw my grandma get thrown into the bull pen right across the hall.  I was sure I could knock down the cell door and slammed into it with all my weight over and over. It was screaming I would kill those punks and they were all pointing and laughing at me.
It was 12:00 am the second night, the watch commander opened the cell to check on me at change of shift. I leapt from flat on my back like a cat and bit him so bad he had to go on work comp then retire. After that, they called me the biter. All the time I was in the padded cell I thought I saw pills all over the floor. I kept eating the pills hoping to come down. I thought there was a bowl of valiums in the middle.  Gross.
They took me upstairs the 3rd day to a medical unit. I thought I had a long sword stuck down my pant leg. I was walking with a stiff leg and the cops kept asking why I was walking funny. Over the next 12 hours my toilet was singing do-wop, my towel was Popeye’s kid Sweetpea swinging around the bars, and I was stuck in a standoff between the Hells Angeles and the Black Panthers. I must have killed a dozen men with my sword.
The third night I was afraid to move because I would set off a war and I was right in the line of fire. I lay frozen for at least 10 hours. The Black Panthers kept throwing dead cats into my cell.
The fourth morning I had to go to court so Mental Health interviewed me. I denied taking any illicit drug, knew who was president, what day it was, and where I was. I told them everything was fine ‘cept they keep throwing dead cats into my cell.
When I got back to my cell I noticed I could see more clearly, was able to shave (Had to threaten a fellow prisoner with beheading if he didn’t give me a razor) and went to court. I mustered every ounce of strength and told the judge it was all a big mistake. My wife had filed a police brutality report over the hospital incident and they let me go.
It took over a week and a lot of downers for it to wear off completely.  Don’t recommend it.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


| Name | Description | Tags | ||
|---|---|---|---|---|
|
|
{badgeClass.name} |
Do you really want to delete the badge class "{badgeClass.name}"?
This will delete the badge class and prevents earners from validating existing badges! |
No badge classes to show. Create at least one badge class to issue badges to earners.


DUMP_UTMP
Section: Maintenance Commands (8)Updated: 2009 December 2
Index Return to Main Contents
NAME
dump-utmp - print a utmp file in human-readable formatSYNOPSYS
dump-utmp [-hrR] [-n <recs>] <files>[--num <recs>] [--raw] [--reverse] [--help]
OPTIONS
The following options are supported:- -h, --help
- Print a help message and the default location of the process accounting file and exit.
- -r, --reverse
- Print the output in reverse order.
- -R, --raw
- The records will be printed without any parsing.
- -n, --num NUMRECS
-
Display only the first NUMRECS number of records.
SEE ALSO
accton (8), lastcomm (1), utmp (5)
Index
This document was created by man2html, using the manual pages.
Time: 05:34:25 GMT, December 24, 2015


Inventry turnover period
13.2 days
18% improvement
Yield rate
98%
No change
MTTR
68.24h
10% increase
CO2 emissions
3.3B ton/year
12% decrease
Financial overview
Market capitalization: $ 1.094T
Factory health
Alert!
TAOYUAN FACTORY IS DOWN because huge typhoon is coming to Taiwan.
Estimated damage
80% understaffed
80% inventory loss
30M US dollars loss
Manufactured product list at Taoyuan
- 78140-22 power amplifier
- SKY77366-17 power amplifier
- 3760 5418 1736
- S770 6662
- DMJ4102-000
- OLS339
| P/N | Progress | |
|---|---|---|
| 78140-22 power amplifier |
|
20% |
| SKY77366-17 power amplifier |
|
30% |
| 3760 5418 1736 |
|
90% |
Chat Box to every factory leader
3
World News
Social Networking Services
Factory leaders
8 Members
- H. Kajiwara Taoyuan
- H. Yamamoto San marino
- H. Buto Hiroshima
- D. Shimazaki Marshall Islands
- T. Masumoto Texas
- I. Matsunaga Ho Chi Minh
- Y. Takigawa Maldives
- K. Nakatsugawa Liechtenstein


The objective of this game is to order the numbers, so that the equation beneath them will be valid. Use space, touch or click to re-order the numbers. The left-most number will be discarded.


All Categories
All Categories
uncategorized
School Level
One
two
three
four
five
six
seven
eight
nine
ten
ten
MBBS
BCA
BBS
All Categories
All Categories
uncategorized
School Level
One
two
three
four
five
six
seven
eight
nine
ten
ten
MBBS
BCA
BBS
School
10 +2 Books
University Books
BBS
Tribhuwan University
First Year
Second Year
Third Year
Fourth Year
Mid-Western University
Far-Western University
BBA
BIM
BHM
More Books
Teachers Guide
Sign In
Register
All Categories
All Categories
uncategorized
School Level
One
two
three
four
five
six
seven
eight
nine
ten
ten
MBBS
BCA
BBS
Previous
Next
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
All Books
View All Products
Ashmita Books Publishers & Distributors P. Ltd.
Explore Books
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
Asmita Books Publishers & Distributors P .Ltd
Explore Books
Recent Books
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11
10 +2 Books, Eleven, latest releases, love books
Major Nepali, Grade - 11


{{productdescription}}
... is a live example how easily BITCOIN PAYMENTS can be in integrated in a website.
How much of my time you want? Give an email address:


| Key | Value |
|---|---|
| config | [] |
| event_handler | [] |
*** CT 22:01:09 *** Common Test Logger started*** CT 22:01:10 *** TEST INFO 1 test(s), 7 case(s) in 2 suite(s)*** CT 22:01:11 *** Common Test Logger finished
Copyright © 2008 Open Telecom Platform
Updated: Sun Dec 14 2008 22:01:11


Hello my name is Sospeter Mwangi
am learning software development at Moringa school.
Let's explore what i have learnt this week
About me
I am from naks vegas the hub of tech in agriculture
Its where i have called home for the last five years
Hobbies
I love playing the playstaion
I enjoy watching theatrical plays
When I am in town I make dance videos and vines to post on my instagram.


Welcome to Pat's Baking Company! We are a Seattle-based cookie company that focuses on bringing you a combination of classic and more adventurous flavors. We are located at multiple location in the Seattle Area come and try our flavorful cookies when we’re open. We also offer catering, wholesale, and you can find us at farmer's markets, events, and pop-ups around the city!
Our Hours of Operation
- Mon - Fri : 7:00 AM : 5:00 PM
- Sat - Sun : 7:00 AM : 3:00 PM
Our take on the familiar classics that we all know and love.
- Chocolate Chip
- Snicker Doodle
- Peanut Butter Chip
- Classic M&M
- Oatmeal Chip
- Cookies & Cream
The adventours flavors we offer with love.
- Salmon Cookies
- Whale Snicker Doodle
- Pork Peanut Butter Chip
You can find us at
- Pike and 1st Street
- Seattle Center
- SeaTac Airport
- Capitol Hill
- Alki Beach


public class KeepApplicationConfigInfo
extends java.lang.Object
Class to hold config info about an external application using Keep. This holds the app’sa name, salted hashed secret, Keep databases accessible, status and application approvers (for future functionality)
| Modifier and Type | Class and Description |
|---|---|
static class |
KeepApplicationConfigInfo.ApplicationStatus
Enum for Application Status, corresponding to enum in the OpenAPI spec
|
| Constructor and Description |
|---|
KeepApplicationConfigInfo()
Default constructor
|
KeepApplicationConfigInfo(java.lang.String appName,
java.util.List<java.lang.String> databasesRequested,
java.lang.String author) |
| Modifier and Type | Method and Description |
|---|---|
static KeepApplicationConfigInfo |
fromDocument(com.hcl.domino.data.Document doc) |
static KeepApplicationConfigInfo |
fromJson(io.vertx.core.json.JsonObject payload)
Creates a ApplicationConfig from JSON, both from bakup or newly created
|
java.lang.String |
getAppDescription()
Gets the application’s description
|
java.lang.String |
getAppIcon()
Base64 encoded image to be used for the database icon.
|
java.lang.String |
getAppId()
Gets the application ID generated by Keep for the external application
|
java.util.List<java.lang.String> |
getApplicationApprovers()
Gets the list of external approvers who need to / have approved access to the Keep databases requested
|
java.lang.String |
getAppName()
Gets the name the user has chosen for the external application.
|
java.lang.String |
getAppSecret()
Gets the application secret generated by Keep for the external application
|
KeepApplicationConfigInfo.ApplicationStatus |
getAppStatus()
Gets external application status as an enum
|
java.lang.String |
getAuthor()
Gets the person who created the external application
|
java.util.List<java.lang.String> |
getDatabasesRequested()
Gets the list of Keep databases this external application has or would like access to
|
java.lang.String |
getUnid()
Gets universalID of the document for this keep database config
|
KeepApplicationConfigInfo |
save(KeepJnxSession s,
com.hcl.domino.data.Database db,
KeepFactory factory) |
void |
setAppDescription(java.lang.String appDescription)
Sets the application description
|
void |
setAppId(java.lang.String appId)
Sets the application ID for the external application.
|
void |
setApplicationApprovers(java.util.List<java.lang.String> list)
Sets the list of external approvers who need to / have approved access to the Keep databases requested
|
void |
setAppName(java.lang.String appName)
Sets the name the user has chosen for the external application.
|
void |
setAppSecret(java.lang.String appSecret)
Sets the application secret generated by Keep for the external application
|
void |
setAppStatus(KeepApplicationConfigInfo.ApplicationStatus appStatus)
Gets external application status as an enum
|
void |
setAppStatus(java.lang.String appStatus)
Using a string value, sets the application status
|
void |
setAuthor(java.lang.String author)
Sets the person who created the external application
|
void |
setDatabasesRequested(java.util.ArrayList<java.lang.String> databasesRequested)
Sets the list of Keep databases this external application has or would like access to
|
void |
setIcon(java.lang.String appIcon)
Sets the image icon to be used for the database in Keep.
|
void |
setUnid(java.lang.String unid)
Sets universalID of the document for this keep database config
|
io.vertx.core.json.JsonObject |
toJson() |
public KeepApplicationConfigInfo()
Default constructor
public KeepApplicationConfigInfo(java.lang.String appName, java.util.List<java.lang.String> databasesRequested, java.lang.String author)
appName
- databasesRequested
- author
- public static KeepApplicationConfigInfo fromDocument(com.hcl.domino.data.Document doc)
doc
- public static KeepApplicationConfigInfo fromJson(io.vertx.core.json.JsonObject payload)
Creates a ApplicationConfig from JSON, both from bakup or newly created
payload
- public java.lang.String getAppDescription()
Gets the application’s description
public java.lang.String getAppIcon()
Base64 encoded image to be used for the database icon. Preferably svg for better resizing.
public java.lang.String getAppId()
Gets the application ID generated by Keep for the external application
public java.util.List<java.lang.String> getApplicationApprovers()
Gets the list of external approvers who need to / have approved access to the Keep databases requested
public java.lang.String getAppName()
Gets the name the user has chosen for the external application. Not necessarily unique
public java.lang.String getAppSecret()
Gets the application secret generated by Keep for the external application
public KeepApplicationConfigInfo.ApplicationStatus getAppStatus()
Gets external application status as an enum
public java.lang.String getAuthor()
Gets the person who created the external application
public java.util.List<java.lang.String> getDatabasesRequested()
Gets the list of Keep databases this external application has or would like access to
public java.lang.String getUnid()
Gets universalID of the document for this keep database config
public KeepApplicationConfigInfo save(KeepJnxSession s, com.hcl.domino.data.Database db, KeepFactory factory)
s
- db
- factory
- public void setAppDescription(java.lang.String appDescription)
Sets the application description
appDescription
- external application descriptionpublic void setAppId(java.lang.String appId)
Sets the application ID for the external application. Done for loading from a database
appId
- public void setApplicationApprovers(java.util.List<java.lang.String> list)
Sets the list of external approvers who need to / have approved access to the Keep databases requested
list
- public void setAppName(java.lang.String appName)
Sets the name the user has chosen for the external application. Not necessarily unique param name of the application
appName
- public void setAppSecret(java.lang.String appSecret)
Sets the application secret generated by Keep for the external application
appSecret
- application’s unique secret, saltedpublic void setAppStatus(KeepApplicationConfigInfo.ApplicationStatus appStatus)
Gets external application status as an enum
appStatus
- application status enumpublic void setAppStatus(java.lang.String appStatus)
Using a string value, sets the application status
appStatus
- as stringpublic void setAuthor(java.lang.String author)
Sets the person who created the external application
author
- Keep usernamepublic void setDatabasesRequested(java.util.ArrayList<java.lang.String> databasesRequested)
Sets the list of Keep databases this external application has or would like access to
databasesRequested
- public void setIcon(java.lang.String appIcon)
Sets the image icon to be used for the database in Keep.
appIcon
- Base64 encoded string image, preferably svg for better resizing.public void setUnid(java.lang.String unid)
Sets universalID of the document for this keep database config
unid
- public io.vertx.core.json.JsonObject toJson()


Service & building industries
Natural resources
Great Recession
80,000
jobs
80,000
jobs
2000s
housing
bubble
Hotels/
restaurants
60,000
60,000
Construction
40,000
40,000
Real estate
Farm
Finance
Bakken oil boom
20,000
20,000
Arts/recreation
Mining/oil
Forestry
0
0
2000
2005
2010
2016
2000
2005
2010
2016
Healthcare and trade
Government
80,000
jobs
80,000
jobs
Retail trade
Healthcare/
social work
60,000
60,000
Local govt
40,000
40,000
State govt
Wholesale trade
20,000
20,000
Transporation
Fed. civilian
Military
0
0
2016
2016
2000
2005
2010
2000
2005
2010
Service & building industries
80,000
jobs
Great Recession
2000s
housing
bubble
Hotels/
restaurants
60,000
Construction
40,000
Real estate
Finance
20,000
Arts/recreation
0
2000
2005
2010
2016
Healthcare and trade
Retail trade
80,000
jobs
Healthcare/
social work
60,000
40,000
Wholesale trade
20,000
Transporation
0
2016
2000
2005
2010
Natural resources
80,000
jobs
60,000
40,000
Farm
Bakken oil boom
20,000
Mining/oil
Forestry
0
2016
2000
2005
2010
Government
80,000
jobs
60,000
Local govt
40,000
State govt
20,000
Fed. civilian
Military
0
2000
2005
2010
2016


ALDataPoint Class Reference
| Inherits from | NSObject |
|---|---|
| Declared in | ALDataPoint.h |
area
The area where in the ROI the text is found.
@property (nonatomic, assign) CGRect area
Declared In
ALDataPoint.h
indexPath
The IndexPath for this text. Will be used as a refernece for the physical location of the DataPoint in the ROI.
@property (nonatomic, strong, readonly) ALIndexPath *indexPath
Declared In
ALDataPoint.h
identifier
The identifier for this DataPoint. Should be the same for connected texts which will be interpretet together.
@property (nonatomic, strong, readonly) NSString *identifier
Declared In
ALDataPoint.h
– initWithArea:indexPath:identifier:
Initialise a new DataPoint.
- (instancetype)initWithArea:(CGRect)area indexPath:(ALIndexPath *)indexPath identifier:(NSString *)identifier
Parameters
area |
The area where the DataPoint in the ROI is found. |
|---|---|
indexPath |
The indexPath for this DataPoint. |
identifier |
An identifier for this DataPoint. |
Return Value
New DataPoint object.
Declared In
ALDataPoint.h
– initWithDictionary:
Initialise a new DataPoint with a representing dictionary.
- (instancetype)initWithDictionary:(NSDictionary *)dictionary
Parameters
dictionary |
A dictionary representing a DataPoint object. |
|---|
Return Value
New DataPoint object.
Declared In
ALDataPoint.h
+ dataPointForDictionary:
Initialise ether a new DigitDataPoint or TextDataPoint depending on the dictionary
+ (ALDataPoint *)dataPointForDictionary:(NSDictionary *)dictionary
Parameters
dictionary |
The dictionary with the representing DataPoint. |
|---|
Return Value
New Text -or DigitDataPoint object.
Declared In
ALDataPoint.h


About Me
Liam Sweeney was born in New Haven, Connecticut to a family that – wonderful as they may be – couldn’t draw a straight line with a ruler. Shocked by Liam’s early drawings, his parents first made sure there hadn’t been a switch at the hospital, and then encouraged him to develop and explore his artistic inclinations. He’s been doing so ever since.
Liam moved to Florida, having decided to attend the University of Miami, when he was 18. He found university life, as well as the culturally rich city at its gate, to be a bottomless sources of inspiration. He graduated with a B.A. in Graphic Design in May of 2009.
Now 30, Liam is becoming one of the go-to creative professionals in South Florida. He is available for freelance work. He specialized in branding and hospitality design.


«README
Configuration»
Configuration
Should `.web_package` be added to source control?
Hooks: build, unbuild, dev
PHP Hooks
BASH Hooks
Hooks Library
Drupal Modules/Themes
Questions
Release Types
Configuration Templates
Changelog
Functionality
README


The Spanish flu pandemic of 1918, the deadliest in history, infected an estimated 500 million people worldwides about one-third of the planet’s population and killed an estimated 20 million to 50 million victims , including some 675,000 Americans. The 1918 flu was first observed in Europe, the United States and parts of Asia before swiftly spreading around the world. At the time, there were no effective drugs or vaccines to treat this killer flu strain. Citizens were ordered to wear masks, schools, theaters and businesses were shuttered and bodies piled up in makeshift morgues before the virus ended its deadly global march.
Since there were no effective vaccines and drugs to treat the Spanish flu, people were ordered to put on masks. The allies of the First-World-War started calling it the Spanish flu since the epidemic began receiving more press-attention after spreading to Spain. The first wave of this pandemic occurred during the spring of 1918, and it was mild.
Several Pacific island territories were particularly hard-hit. The pandemic reached them from New Zealand, which was too slow to implement measures to prevent ships carrying the flu from leaving its ports. From New Zealand, the flu reached Tonga (killing 8% of the population), Nauru (16%) and Fiji (5%, 9,000 people).
By the summer of 1919, the flu pandemic came to an end, as those that were infected either died or developed immunity.
Almost 90 years later, in 2008, researchers announced they’d discovered what made the 1918 flu so deadly: A group of three genes enabled the virus to weaken a victim’s bronchial tubes and lungs and clear the way for bacterial pneumonia.
Since 1918, there have been several other influenza pandemics, although none as deadly. A flu pandemic from 1957 to 1958 killed around 2 million people worldwide, including some 70,000 people in the United States, and a pandemic from 1968 to 1969 killed approximately 1 million people, including some 34,000 Americans.
More than 12,000 Americans perished during the H1N1 (or “swine flu”) pandemic that occurred from 2009 to 2010. The novel coronavirus pandemic of 2020 is spreading around the world as countries race to find a cure for COVID-19 and citizens shelter in place in an attempt to avoid spreading the disease, which is particularly deadly because many carriers are asymptomatic for days before realizing they are infected.
Each of these modern day pandemics brings renewed interest in and attention to the Spanish Flu, or “forgotten pandemic,” so-named because its spread was overshadowed by the deadliness of WWI and covered up by news blackouts and poor record-keeping.


| Opcode/Instruction | Op/En | 64/32 bit Mode Support | CPUID Feature Flag | Description |
|---|---|---|---|---|
| 0F 1B /r BNDSTX mib, bnd | MR | V/V | MPX | Store the bounds in bnd and the pointer value in the index regis-ter of mib to a bound table entry (BTE) with address translation using the base of mib. |
|
Op/En MR |
Operand 1 SIB.base (r): Address of pointer SIB.index(r) |
Operand 2 ModRM:reg (r) |
Operand 3 NA |
BNDSTX uses the linear address constructed from the displacement and base register of the SIB-addressing form of the memory operand (mib) to perform address translation to store to a bound table entry. The bounds in the source operand bnd are written to the lower and upper bounds in the BTE. The content of the index register of mib is written to the pointer value field in the BTE.
This instruction does not cause memory access to the linear address of mib nor the effective address referenced by the base, and does not read or write any flags.
Segment overrides apply to the linear address computation with the base of mib, and are used during address translation to generate the address of the bound table entry. By default, the address of the BTE is assumed to be linear address. There are no segmentation checks performed on the base of mib.
The base of mib will not be checked for canonical address violation as it does not access memory.
Any encoding of this instruction that does not specify base or index register will treat those registers as zero (constant). The reg-reg form of this instruction will remain a NOP.
The scale field of the SIB byte has no effect on these instructions and is ignored.
The bound register may be partially updated on memory faults. The order in which memory operands are loaded is implementation specific.
base (cid:197) mib.SIB.base ? mib.SIB.base + Disp: 0; ptr_value (cid:197) mib.SIB.index ? mib.SIB.index : 0;
Outside 64-bit mode
A_BDE[31:0] (cid:197) (Zero_extend32(base[31:12] « 2) + (BNDCFG[31:12] «12 ); A_BT[31:0] (cid:197) LoadFrom(A_BDE); IF A_BT[0] equal 0 Then BNDSTATUS (cid:197) A_BDE | 02H; #BR; FI; A_DEST[31:0] (cid:197) (Zero_extend32(base[11:2] « 4) + (A_BT[31:2] « 2 ); // address of Bound table entry A_DEST[8][31:0] (cid:197) ptr_value; A_DEST[0][31:0] (cid:197) BND.LB; A_DEST[4][31:0] (cid:197) BND.UB;
In 64-bit mode
A_BDE[63:0] (cid:197) (Zero_extend64(base[47+MAWA:20] « 3) + (BNDCFG[63:20] «12 );1 A_BT[63:0] (cid:197) LoadFrom(A_BDE); IF A_BT[0] equal 0 Then BNDSTATUS (cid:197) A_BDE | 02H; #BR; FI; A_DEST[63:0] (cid:197) (Zero_extend64(base[19:3] « 5) + (A_BT[63:3] « 3 ); // address of Bound table entry A_DEST[16][63:0] (cid:197) ptr_value; A_DEST[0][63:0] (cid:197) BND.LB; A_DEST[8][63:0] (cid:197) BND.UB;
BNDSTX: _bnd_store_ptr_bounds(const void **ptr_addr, const void *ptr_val);
None
| #BR | If the bound directory entry is invalid. |
| #UD |
If the LOCK prefix is used. If ModRM.r/m encodes BND4-BND7 when Intel MPX is enabled. If 67H prefix is not used and CS.D=0. If 67H prefix is used and CS.D=1. |
| #GP(0) |
If a destination effective address of the Bound Table entry is outside the DS segment limit. If DS register contains a NULL segment selector. If the destination operand points to a non-writable segment |
| #PF(fault code) | If a page fault occurs. |
| #UD |
If the LOCK prefix is used. If ModRM.r/m encodes BND4-BND7 when Intel MPX is enabled. If 16-bit addressing is used. |
| #GP(0) | If a destination effective address of the Bound Table entry is outside the DS segment limit. |
| #UD |
If the LOCK prefix is used. If ModRM.r/m encodes BND4-BND7 when Intel MPX is enabled. If 16-bit addressing is used. |
| #GP(0) | If a destination effective address of the Bound Table entry is outside the DS segment limit. |
| #PF(fault code) | If a page fault occurs. |
Same exceptions as in protected mode.
1.
| If CPL < 3, the supervisor MAWA (MAWAS) is used; this value is 0. If CPL = 3, the user MAWA (MAWAU) is used; this value is enumer- |
| ated in CPUID.(EAX=07H,ECX=0H):ECX.MAWAU[bits 21:17]. See Section 17.3.1 of Intel® 64 and IA-32 Architectures Software Devel- |
| oper’s Manual, Volume 1. |
| #BR | If the bound directory entry is invalid. |
| #UD |
If ModRM is RIP relative. If the LOCK prefix is used. If ModRM.r/m and REX encodes BND4-BND15 when Intel MPX is enabled. |
| #GP(0) |
If the memory address (A_BDE or A_BTE) is in a non-canonical form. If the destination operand points to a non-writable segment |
| #PF(fault code) | If a page fault occurs. |


On the moring of August 1, 2015 police officers went to Gaines' apartment to serve an arrest warrant on Gaines for her alleged failure to appear in court after a traffic stop in March. In Baltimore, one of every three people struck by gunfire dies, up from one death in every four shootings the previous decade. It ranks as one of the most lethal of America's largest cities, according to a Baltimore Sun analysis. Two other cities — Washington and New Orleans — shared the brutal distinction of one in three shootings ending in a homicide in 2015. Like Baltimore, several cities have seen the death grip tighten. In Chicago, one in 10 people died after being shot in 2000; now one in six perishes.
Begin
1 Lorem ipsum dolor sit amet consectetur adipiscing elit. Cras egestas leo sit amet sem varius aliquet. Pellentesque tempus dignissim nunc, ac lobortis eros sodales sit amet. Duis rutrum vehicula metus rhoncus ultrices.
11:11 p.m.: Video of police entering the apartment for the first time
Audio of 911 dispatch
Photos taken from Gaines' cell phone
Relevant documents
Prev
Next
2 Lorem ipsum dolor sit amet consectetur adipiscing elit. Cras egestas leo sit amet sem varius aliquet. Pellentesque tempus dignissim nunc, ac lobortis eros sodales sit amet. Duis rutrum vehicula metus rhoncus ultrices.
11:11 p.m.: Video of police entering the apartment for the first time
Audio of 911 dispatch
Photos taken from Gaines' cell phone
Relevant documents
Prev
Next
3 Lorem ipsum dolor sit amet consectetur adipiscing elit. Cras egestas leo sit amet sem varius aliquet. Pellentesque tempus dignissim nunc, ac lobortis eros sodales sit amet. Duis rutrum vehicula metus rhoncus ultrices.
11:11 p.m.: Video of police entering the apartment for the first time
Audio of 911 dispatch
Photos taken from Gaines' cell phone
Relevant documents
Prev
Next
4 Lorem ipsum dolor sit amet consectetur adipiscing elit. Cras egestas leo sit amet sem varius aliquet. Pellentesque tempus dignissim nunc, ac lobortis eros sodales sit amet. Duis rutrum vehicula metus rhoncus ultrices.
11:11 p.m.: Video of police entering the apartment for the first time
Audio of 911 dispatch
Photos taken from Gaines' cell phone
Relevant documents
Prev
Next
5 Lorem ipsum dolor sit amet consectetur adipiscing elit. Cras egestas leo sit amet sem varius aliquet. Pellentesque tempus dignissim nunc, ac lobortis eros sodales sit amet. Duis rutrum vehicula metus rhoncus ultrices.
11:11 p.m.: Video of police entering the apartment for the first time
Audio of 911 dispatch
Photos taken from Gaines' cell phone
Relevant documents
Prev
Next
6 Lorem ipsum dolor sit amet consectetur adipiscing elit. Cras egestas leo sit amet sem varius aliquet. Pellentesque tempus dignissim nunc, ac lobortis eros sodales sit amet. Duis rutrum vehicula metus rhoncus ultrices.
11:11 p.m.: Video of police entering the apartment for the first time
Audio of 911 dispatch
Photos taken from Gaines' cell phone
Relevant documents
Prev
Next
7 Lorem ipsum dolor sit amet consectetur adipiscing elit. Cras egestas leo sit amet sem varius aliquet. Pellentesque tempus dignissim nunc, ac lobortis eros sodales sit amet. Duis rutrum vehicula metus rhoncus ultrices.
11:11 p.m.: Video of police entering the apartment for the first time
Audio of 911 dispatch
Photos taken from Gaines' cell phone
Relevant documents
Prev
Next
8 Lorem ipsum dolor sit amet consectetur adipiscing elit. Cras egestas leo sit amet sem varius aliquet. Pellentesque tempus dignissim nunc, ac lobortis eros sodales sit amet. Duis rutrum vehicula metus rhoncus ultrices.
11:11 p.m.: Video of police entering the apartment for the first time
Audio of 911 dispatch
Photos taken from Gaines' cell phone
Relevant documents
Prev
Next
9 Lorem ipsum dolor sit amet consectetur adipiscing elit. Cras egestas leo sit amet sem varius aliquet. Pellentesque tempus dignissim nunc, ac lobortis eros sodales sit amet. Duis rutrum vehicula metus rhoncus ultrices.
11:11 p.m.: Video of police entering the apartment for the first time
Audio of 911 dispatch
Photos taken from Gaines' cell phone
Relevant documents
Prev


hetzner is now going full 100 crazy: After reviewing your updated customer information, we have decided to deactivate your account because of some concerns we have regarding this information. Therefore, we have cancelled all your existing products and orders with us.
(edited)


neogames
Various JavaScript recreations of Neopets games! (Mainly PHP games... maybe Flash games in a distant future. Far, far away.)
Check it out! There's not much! At the very least, it's kinda working!
the games
Potato Counter (fully working, not thoroughly anti-cheated)
Guess the Card (fully working, doesn't need anti-cheat)
Test Your Strength (unprogrammed, currently excluded from the repo)
why?
Because I have fun recreating content. That's it, that's all, no more no less.


Before Change
return self.num_sources == 1
def map_v1_weights(self, weights): // pylint: disable=missing-docstring
m = {}
m.update(self.output_layer.map_v1_weights(weights["dense"]))
m.update(self.layer_norm.map_v1_weights(weights["LayerNorm"]))
for i, layer in enumerate(self.layers):
m.update(layer.map_v1_weights(weights["layer_%d" % i]))
return m
def _run(self,
inputs,
After Change
return self.num_sources == 1
def map_v1_weights(self, weights): // pylint: disable=missing-docstring
m = []
m += self.output_layer.map_v1_weights(weights["dense"])
m += self.layer_norm.map_v1_weights(weights["LayerNorm"])
for i, layer in enumerate(self.layers):
m += layer.map_v1_weights(weights["layer_%d" % i])
return m
def _run(self,
inputs,


Appointment Details: {{this.data[0].appointmentType}} appointment
Update your current appointment from
{{this.data.old.date}} at {{this.data.old.time}}
to the following appointment
{{this.data[0].startTime}}


i2b2-cdi
Clinical Data Infrastructure
or
Concept Derivation Infrastructure
Goals:
Easy install
Simplified Data model
Scalable
Near real-time ETL (Restful API and batch), SMART-on-FHIR
Derived Concepts
Decision support
Machine learning


WITNESS LIST
Transportation Committee
March 20, 2018 - 8:00 AM
Joint Charge on Trade and Transportation Infrastructure
On:
Bennett, Tony (Texas Association of Manufacturers)
Campirano, Eduardo (Port of Brownsville)
Frabotta, Christopher (U.S. Army Corps of Engineers)
Harmon, Daniel (Texas Department of Transportation)
Hernandez, Ambrosio (City of Pharr, Pharr International Bridge)
Mandel, Matt (SunFed Produce, LLC)
Mays, Caroline (Texas Department of Transportation)
Prozzi, Jolanda (Texas A&M Transportation Institute)
Saenz, Pete (Texas Border Coalition)
Skinner, Bradd (U.S. Customs and Border Protection)
Stastny, Jennifer (Texas Ports Association & Port of Victoria)
Trevino, Jr., Eddie (Cameron County)
Whisenant, Fred (Texas Department of Public Safety)
1


HOW TO EAT PILCHARDS.
IT is unlucky to commence eating pilchards, or, indeed, any kind I of fish, from the head downwards. I have often heard persons rebuked for committing such a grievous sin, which is "sure to turn the heads of the fish away from the coasts."
The legitimate process--mark this, all fish-eaters--is to eat the fish from the tail towards the head. This brings the fish to our shores, and secures good luck to the fishermen.


Surprise! Call of Duty: Modern Warfare was the best-selling game for October and the whole of 2019
by Geoffrey TimCall of Duty: Modern Warfare was released last month, and has unsurprisingly sold a boatload of copies. According to NPD video game guy Mat Piscatella, Modern Warfare was the best-selling game in the US for October, and the year in general. It’s the 12th year in a row that Call of Duty has been the top-selling game in the month of its release, and that’s not likely to change. As a result, Call of Duty is the best-selling franchise in the US overall since tracking began.
The incredibly well-received (but slightly underdone, in my opinion) Outer Worlds is the second best-selling game in the US for October. That, like with Call of Duty, includes both physical and digital sales. In number 3 comes the best-performing Switch game in the US last month, Luigi’s Mansion 3. That only includes physical sales though, so it’s possible it’d end up higher if digital sales were included.
There’s not too much else surprising about the rest of the games that’ve sold well in the US last month. Madden is at fourth, because of course it is, while NBA 2K20 is in at fifth. Ubisoft’s Ghost Recon Breakpoint has done far worse than Wildlands did, but still managed to be the sixth best-selling game in the US for the month.  Ring Fit Adventure rounds out the top 10. Because the fitness game requires a peripheral, it’s only been available physically. Here’s the rest of the top 20:
- Call of Duty: Modern Warfare
- The Outer Worlds
- Luigi’s Mansion 3*
- Madden NFL 20
- NBA 2K20
- Tom Clancy’s Ghost Recon: Breakpoint
- WWE 2K20
- FIFA 20
- Borderlands 3
- Ring Fit Adventure
- The Legend of Zelda: Link’s Awaking*
- Mario Kart 8*
- Minecraft
- Grand Theft Auto V
- Mortal Kombat 11
- Overwatch
- Super Smash Bros. Ultimate*
- Code Vein
- Red Dead Redemption II
- The Legend of Zelda: Breath of the Wild*
The games with the asterisks next to them have incomplete data, meaning that they represent physical sales only. If digital sales were included, they’d probably track higher.


Lucky's Medication
Time:
Choose Medication To Give
LOG PILL
Click to view history of pills given.
Click to return to Main.


The problem was iterating over a large amount of time series data. I figured generating a series of time chunks within certain start and end parameters, and of a certain time interval size could help scan through this data.
I wrote the following method to help generate these chunks of time which can then be passed to an ActiveRecord query to search within that time chunk for relevant data.
What is returned is an array of arrays where each internal array contains a start time and an end time which can then be used in further methods.
It escapes early if there is only one possible chunk for the given parameters. It also makes sure that the start time of the first interval is the given start parameter and the same is true for the end time of the last chunk.


?THE
NEW
YORK
BOTANICAL
GARDEN
EXPLORATION
OF
PORTO
RICO
i/l
Mount
Morales,
near
Utuado
NEW
YORK
BOTANICAL
GARDEN
01014948
<0>If?AGEI7
N.
L.
Britton
i
John
F.
Cowell
f
Col1-ectors
March
15,1906
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
Try megrim as a tasty alternative to Dover or lemon sole in this pretty dish.
For the sole, preheat the oven to 230C/450F/Gas 8.
Ask your fishmonger to remove the dark skin from the megrim. You can do it yourself by cutting into the tail of the fish at an angle and gently scraping back the skin. With a dry kitchen towel pull the skin from the tail towards the head, it should all pull away.
Cut the head off and using sharp scissors, cut around the edge of the fish and remove the fins. Wash the fish and pat dry.
Sprinkle the flour onto a plate and season with salt and freshly ground black pepper.
Dust the fish in the flour on each side.
Heat a non-stick ovenproof frying pan on a high heat and pour in the vegetable oil.
Place the fish in the pan, white skin-side down, and fry for 2-3 minutes, or until pale golden-brown. Turn the fish over using a palette knife.
Add a knob of butter and place in the oven to cook for 6-7 minutes.
Meanwhile, for the shrimp butter, cook the sea kale in a pan of salted boiling water for 2-3 minutes, or until tender. Drain and refresh in iced water, then drain once more and pat dry.
Peel the lemon, remove the pith by gently scraping with a knife (try not to pierce the flesh of the lemon) and slice into rounds (these are your lemon flowers.)
Heat a frying pan until hot, add the butter and shallot and fry for 2-3 minutes. Add the mace, cayenne pepper and Gentlemen’s relish and stir until well combined. Add the shrimps and sea kale, remove the pan from the heat and keep warm.
Season with salt and freshly ground black pepper and a squeeze of lemon juice.
To serve, place the sole in the centre of a large serving plate. Spoon over the shrimp mixture, criss-crossing the batons of sea kale over the top of the fish. Squeeze in two slices of lemon, then sprinkle with pea shoots.


Lighre229.github.io
HOTPOINT-ARISTON Benutzerhandbuch Deutsche. Specifications Built-in furniture Luce design Energy class: A - 20% El. control Capacity: 58 L LCD display Sensor control (Light Touch) El. programming: Date-Temperature.
Ariston FK 1032E C.20 X - Built-in Ovens - ZIGZAG Electronics. Hotpoint Plate Clamp Handle - how-to-repair.com. Hotpoint Ariston MR 940.3 (OW) /HA Hotpoint Ariston XC 902GH DC.3 NL /HA Hotpoint Ariston XF 995.1 /HA Hotpoint Ariston XF 995.3 /HA Indesit. Indesit Annullato2 Indesit KP 59 MS(X)/G Indesit KP 59 MS.C(X)/G.
Sie suchen immer noch vergeblich eine deutsche Bedienungsanleitung von Hotpoint-Ariston? Sie brauchen Hilfe beim Anschließen oder Einstellen von Produkten der Marke Hotpoint-Ariston und hätten gern eine deutsche Bedienungsanleitung.
Suitable for listed models from Ariston, Hotpoint, Hotpoint-Ariston and Indesit. This is a Genuine spare. Specifications Built in furniture Multifunctional 3-D Oven Capacity: 67 L Max. temperature: 270 Ã Â°C Double Glassed Door Inside lighting Front Panel Material: Stainless steel.
Bosch HBN301E2T - Built-in Ovens - ZIGZAG Electronics. Buy Hotpoint-Ariston MR 940.3 OW/HA on Arredatutto.com. Only the best brands for your home. 100% Original Products. Online official dealer. Ovnpakning - Ariston - Komfurer, ovne kogezoner.
Genuine Hotpoint Indesit Ariston Cooker Oven Fixed Pivot. Forno multifunzione 12 funzioni touch - Hotpoint-Ariston. Hotpoint-Ariston MR 940.3 OW/HA - Oven - arredatutto.com. Forno multifunzione 12 funzioni touch - Read more about forno, temperatura, programa, display, horno and porta. Email to friends Share on Facebook - opens in a new window or tab Share on Twitter - opens in a new window or tab Share on Pinterest - opens in a new window
Hotpoint ariston MR 940.3 (OW) Handbücher. Moved Permanently. The document has moved.


Heavy
Hurdle
only works in landscape mode
due to resolution issues with the vertical mode.
Record video
Record screen
Close
Heavy
Hurdle
New
New Conference
Room Name
Your Name
Your Name
Your Name
Terms & Conditions
|
Privacy Policy
©
HeavyHurdle.
CHAT
Send
1x


We have developed a set of products in the Sarbanes-Oxley (SOX) compliance space.
This is specifically targeted to US regulatory industry.
We have developed a suite of products for multi-dimensional data analytics, specifically targeting XBRL/XML data consumption and visualization.
We develop smart Apps and enterprise solution in the mobile space.
Apurba's vision is to become a premier mobile Apps and mobile enterprise developer.
We develop enterprise-level inventory, customer and sales management tools.
Apurba has so far developed proprietary applications in the CRM, ERM and document repository space.
We have deep understanding of the compliance space.
Apurba's Professional Services can help you implement your very own solution built from your specifications.
We provide consulting services around ECM.
We have both advised and provided solutions to clients needing to manage large volumes of content.
We offer consulting expertise in developing Data Warehousing Solutions with open source technologies for fast, effective data storage and retrieval.
We develop smart Apps in the mobile space as per your specifications.
We strive to bring you the best mobile Apps, be it fun games, or serious productivity tools.