Repository
https://github.com/holgern/steemmonsters
steemmonsters is a python command line tool for playing steemmonsters. Decks, player name and other settings are defined in a json file. Before playing, the posting key has to be stored inside the beem wallet. The password which is used to encrypt the posting key, can be stored in the config file or entered each time on start.
New features
Load different settings files on startup
It is possible to load different config json files on startup:
1 | steemmonsters -c config2.json |
or
1 | python steemmonsters.py -c config2.json |
The wallet password must not anymore stored in the config file
Instead of storing the wallet password, it can now be entered each time when the tool is started. Just removed the wallet_password
line from the config file.
Play mode can be aborted with ctrl+c when waiting
When play_delay
is set in the config file, playing a new match can be aborted by pressing ctrl+c after a match when the line
1 | waiting 5 seconds |
is shown. When pressing ctrl+c at this time point, the program itself is not terminated.
Unit tests and CI integration added
A simple unit test for testing generate_key and generate_team_hash has been added. Integration into travis-ci and appveyor.com has been done.
steemmonsters can be used without the need to install python on windows
After downloading the standalone version of beempy (https://github.com/holgern/beem/releases) and the standalone version of steemmonsters in hte release-site, they can be extracted and used to play steemmonsters.
Two versions can be downloaded, a packed one-file exe or a directory containing. The packed one-file is easier to handle, but slower on startup:
- steemmonsters-0.0.13-29-21b9a931-py36_win64.zip
- steemmonsters-onefile-0.0.13-29-21b9a931-py36_win64.zip
Both zip files are created inside the appveyor CI:
After unpacking the beem and the steemmonsters zip file into two different directories, they can be used. Open e.g. the Windows PowerShell and go into the directory containing beem.
When not already a wallet was created:
1 | .\beempy.exe createwallet |
Adding the posting key of the playing steem account:
1 | .\beempy.exe addkey |
On Windows PowerShell, the key can be pasted, using a right click.
Create a config.json as shown in https://github.com/holgern/steemmonsters.
Go to the directory containing steemmonsters.exe
1 | .\steemmonsters.exe |
or
1 | .\steemmonsters.exe -c ..\path\to\config.json |
Short help texts were added for all commands
When entering ?
or help
all available commands can be seen:
Stop play when reaching a loosing streak
In the config file, stop_on_loosing_streak
can be defined. When set, playing stops when loosing the defined number in a row.
Commit history
Release 0.0.13
- 21b9a93
- ctrl+c can be used after a battle to abort playing
- the wallet password can be removed from the config.json and entered each time instead
Release 0.0.12
- commit 4fbd84c
- Help text for commands added
- Option to change the config file on startup
- Fix bug in stream
Release 0.0.11
- commit bc810e4
- CI tools (travis and appveyor) added
- pep8 formating fixed
- steemmonsters play function improved
- more information
- better handling
- new configuration added:
- stop_on_loosing_streak - stops fighting when a loosing streak is reached
- Unit test for utils added
- spec files for standalone executable added
Release 0.0.10
- commit b3e4e85
- New options added for play
- several bug fixes
- readme improved
GitHub Account
This page is synchronized from the post: ‘python steemmonsters 0.0.13 released - several improvements’


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Open Clang Projects
Here are a few tasks that are available for newcomers to work on, depending on what your interests are. This list is provided to generate ideas, it is not intended to be comprehensive. Please ask on cfe-dev for more specifics or to verify that one of these isn't already completed. :)
- Compile your favorite C/ObjC project with Clang:
Clang's type-checking and code generation is very close to complete (but not bug free!) for C and Objective-C. We appreciate all reports of code that is
rejected or miscompiled by the front-end. If you notice invalid code that is not rejected, or poor diagnostics when code is rejected, that is also very important to us. For make-based projects,
the
ccc
driver works as a drop-in replacement for GCC. - Overflow detection: an interesting project would be to add a -ftrapv compilation mode that causes -emit-llvm to generate overflow tests for all signed integer arithmetic operators, and call abort if they overflow. Overflow is undefined in C and hard for people to reason about. LLVM IR also has intrinsics for generating arithmetic with overflow checks directly.
- Undefined behavior checking: similar to adding -ftrapv, codegen could insert runtime checks for all sorts of different undefined behaviors, from reading uninitialized variables, buffer overflows, and many other things. This checking would be expensive, but the optimizers could eliminate many of the checks in some cases, and it would be very interesting to test code in this mode for certain crowds of people. Because the inserted code is coming from clang, the "abort" message could be very detailed about exactly what went wrong.
- Improve target support: The current target interfaces are heavily stubbed out and need to be implemented fully. See the FIXME's in TargetInfo. Additionally, the actual target implementations (instances of TargetInfoImpl) also need to be completed.
- Implement an tool to generate code documentation: Clang's library-based design allows it to be used by a variety of tools that reason about source code. One great application of Clang would be to build an auto-documentation system like doxygen that generates code documentation from source code. The advantage of using Clang for such a tool is that the tool would use the same preprocessor/parser/ASTs as the compiler itself, giving it a very rich understanding of the code.
- Use clang libraries to implement better versions of existing tools: Clang is built as a set of libraries, which means that it is possible to implement capabilities similar to other source language tools, improving them in various ways. Two examples are distcc and the delta testcase reduction tool. The former can be improved to scale better and be more efficient. The later could also be faster and more efficient at reducing C-family programs if built on the clang preprocessor.
- Use clang libraries to extend Ragel with a JIT: Ragel is a state machine compiler that lets you embed C code into state machines and generate C code. It would be relatively easy to turn this into a JIT compiler using LLVM.
- Self-testing using clang: There are several neat ways to
improve the quality of clang by self-testing. Some examples:
- Improve the reliability of AST printing and serialization by ensuring that the AST produced by clang on an input doesn't change when it is reparsed or unserialized.
- Improve parser reliability and error generation by automatically or randomly changing the input checking that clang doesn't crash and that it doesn't generate excessive errors for small input changes. Manipulating the input at both the text and token levels is likely to produce interesting test cases.
- Continue work on C++ support: Implementing all of C++ is a very big
job, but there are lots of little pieces that can be picked off and implemented. Here are some small- to mid-sized C++ implementation projects:
- Using declarations: These are completely unsupported at the moment.
- Type-checking for the conditional operator (? :): this currently follows C semantics, not C++ semantics.
- Type-checking for explicit conversions: currently follows C semantics, not C++ semantics.
- Type-checking for copy assignment: Clang parses overloaded copy-assignment operators, but they aren't used as part of assignment syntax ("a = b").
- Qualified member references: C++ supports qualified member references such as
x->Base::foo
, but Clang has no parsing or semantic analysis for them. - Virtual functions: Clang parses
virtual
and attaches it to the AST. However, it does not determine whether a given function overrides a virtual function in a base class. - Implicit definitions of special member functions: Clang implicitly declares the various special member functions (default constructor, copy constructor, copy assignment operator, destructor) when necessary, but is not yet able to provide definitions for these functions.
- Parsing and AST representations of friend classes and functions
- AST representation for implicit C++ conversions: implicit conversions that involve non-trivial operations (e.g., invoking a user-defined conversion function, performing a base-to-derived or derived-to-base conversion) need explicit representation in Clang's AST.
- Improved diagnostics for overload resolution failures: after an overload resolution failure, we currently print out the overload resolution candidates. We should also print out the reason that each candidate failed, e.g., "too few arguments", "too many arguments", "cannot initialize parameter with an lvalue of type 'foo'", etc.
If you hit a bug with clang, it is very useful for us if you reduce the code that demonstrates the problem down to something small. There are many ways to do this; ask on cfe-dev for advice.


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Escodegen (escodegen) is an ECMAScript (also popularly known as JavaScript) code generator from Mozilla's Parser API AST. See the online generator for a demo.
Escodegen can be used in a web browser:
<script src="escodegen.browser.js"></script>
escodegen.browser.js can be found in tagged revisions on GitHub.
Or in a Node.js application via npm:
npm install escodegen
A simple example: the program
escodegen.generate({
type: 'BinaryExpression',
operator: '+',
left: { type: 'Literal', value: 40 },
right: { type: 'Literal', value: 2 }
});
produces the string '40 + 2'
.
See the API page for
options. To run the tests, execute npm test
in the root directory.
At first, execute npm install
to install the all dev dependencies.
After that,
npm run-script build
will generate escodegen.browser.js
, which can be used in browser environments.
And,
npm run-script build-min
will generate the minified file escodegen.browser.min.js
.
Copyright (C) 2012 Yusuke Suzuki (twitter: @Constellation) and other contributors.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
 IN NO EVENT SHALL
SourceNodeMocks has a limited interface of mozilla/source-map SourceNode implementations.
Copyright (c) 2009-2011, Mozilla Foundation and contributors All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the names of the Mozilla Foundation nor the names of project contributors may be used to endorse or promote products derived from this software without specific prior written permission.


Post #1
Lorem Ipsum is simply dummy Linkedin text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. E-mail It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.


Look: Meek Mill Is 100 Percent On His CALL OF DUTY MODERN WARFARE Goals This Holiday Break – “I’m Going On A Ground War Drill Real Quick”
by Team SOHHMaybach Music Group’s Meek Mill is putting in major video game work this holiday break. The hip-hop veteran has let fans know he’s focused on Call of Duty: Modern Warfare goals over the next few days.


{{messageReleasePlan}}
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Force replan
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2019-01-15 | Frequency Modulation
Casio CZ
- Uses Phase distortion synthesis
- Tomás Mulcahy on The Casio CZ series
- Michael Rickard on Casio CZ-1 Spelunking
- Tom Wiltshire on Phase Distortion Synthesis
How might we implement PD using our building blocks from synths.h
? We have three techniques to implement:
- “Distorting” phase lookup on a sine wavetable
- Simulating a resonant filter sweep using a windowed sync
- Mixing waveforms by alternation rather than addition
Listing: Phase distortion synthesis
struct PhaseDistortion : Phasor, Array {
PhaseDistortion(unsigned size = 10000) {
const float pi2 = M_PI * 2;
resize(size);
for (unsigned i = 0; i < size; ++i) data[i] = sinf(i * pi2 / size);
}
Tri tri;
float modulationFactor = 0;
virtual float operator()() {
const float index = (phase + tri() * modulationFactor) * size;
const float v =
get(index); // XXX raw crashes and i think it should not: investigate
Phasor::operator()();
return v;
}
virtual void frequency(float hertz) {
Phasor::frequency(hertz);
tri.frequency(hertz);
}
};
Listing: Windowed “sync” technique to simulate a resonant filter sweep
struct WindowedSync : Edge, Array {
WindowedSync(unsigned size = 10000) {
const float pi2 = M_PI * 2;
resize(size);
for (unsigned i = 0; i < size; ++i) data[i] = sinf(i * pi2 / size);
}
Phasor resonator;
virtual float operator()() {
const float index = resonator() * size;
const float v = get(index) * (1 - phase);
if (Edge::operator()()) resonator.phase = 0;
return v;
}
};
Listing: Alternate between waveforms per-cycle


Gecode::Int::GCC Namespace Reference
Detailed Description
Global cardinality propagators.
- Note:
- The global cardinality propagator with fixed cardinalities does not not support sharing!
Classes | |
| class | SharingTest |
| Sharing test for the bounds consistent global cardinality propagator. More... | |
| class | SharingTest< IntView, OccurBndsView > |
| Specialization of class SharingTest for the case of fixed cardinalities using IntView as View1 and OccurBndsView as View2. More... | |
| class | UnReachable |
| Class for computing unreachable values in the value GCC propagator. More... | |
| class | Rank |
| Maps domain bounds to their position in hall[].bounds. More... | |
| class | MaxInc |
| Compares two indices i, j of two views according to the ascending order of the views upper bounds. More... | |
| class | MinInc |
| Compares two indices i, j of two views according to the ascending order of the views lower bounds. More... | |
| class | PartialSum |
| Partial sum structure for constant time computation of the maximal capacity of an interval. More... | |
| class | HallInfo |
| Container class provding information about the Hall structure of the problem variables. More... | |
| class | VVGNode |
| Base class for nodes in the variable-value-graph. More... | |
| class | VarNode |
| Variable Node More... | |
| class | ValNode |
| Value node. More... | |
| class | Edge |
| Class for edges in the variable-value-graph. More... | |
| class | VarValGraph |
| Variable-value-graph used during propagation. More... | |
| class | OccurBndsView |
| Tuple conataining the lower and upper cardinality bounds. More... | |
| class | CardView |
| Card integer view. More... | |
| class | Bnd |
| Bounds consistent global cardinality propagator. More... | |
| class | BndImp |
| Implementation of the bounds consistent global cardinality propagator. More... | |
| class | Dom |
| Domain consistent global cardinality propagator. More... | |
| class | Val |
| Value consistent global cardinality propagator. More... | |
GCC-Bnd-Support | |
| template<class View, class Card, bool shared> | |
| ExecStatus | prop_card (Space *home, ViewArray< View > &x, ViewArray< Card > &k, bool &mod) |
| Bounds consistency check for cardinality variables. | |
| template<class View, class Card> | |
| bool | card_consistent (int &smin, int &smax, ViewArray< View > &x, ViewArray< Card > &k) |
| Consistency check, whether the cardinality values are feasible. | |
Path compression | |
| Each of the nodes on the path from start to end becomes a direct child of to. | |
| void | pathset_ps (HallInfo hall[], int start, int end, int to) |
| Path compression for potentially stable set structure. | |
| void | pathset_s (HallInfo hall[], int start, int end, int to) |
| Path compression for stable set structure. | |
| void | pathset_t (HallInfo hall[], int start, int end, int to) |
| Path compression for capacity pointer structure. | |
| void | pathset_h (HallInfo hall[], int start, int end, int to) |
| Path compression for hall pointer structure. | |
Path minimum | |
| returns the smalles reachable index starting from i | |
| int | pathmin_h (const HallInfo hall[], int i) |
| Path minimum for hall pointer structure. | |
| int | pathmin_t (const HallInfo hall[], int i) |
| Path minimum for capacity pointer structure. | |
Path maximum | |
| returns the greatest reachable index starting from i | |
| int | pathmax_h (const HallInfo hall[], int i) |
| Path maximum for hall pointer structure. | |
| int | pathmax_t (const HallInfo hall[], int i) |
| Path maximum for capacity pointer structure. | |
| int | pathmax_s (const HallInfo hall[], int i) |
| Path maximum for stable set pointer structure. | |
| int | pathmax_ps (const HallInfo hall[], int i) |
| Path maximum for potentially stable set pointer structure. | |
Enumerations | |
| enum | BC { UBC = 1, LBC = 0 } |
| Bounds constraint (BC) type. More... | |
Functions | |
| template<class Card> | |
| void | reduce_card (int cmin, int cmax, ViewArray< Card > &k) |
| Assert consistency in the cardinality specification for bounds propagation. | |
| template<class View, class Card, bool shared> | |
| ExecStatus | lbc (Space *home, ViewArray< View > &x, int &nb, HallInfo hall[], Rank rank[], PartialSum< Card > *lps, int mu[], int nu[]) |
| Lower Bounds constraint (LBC) stating Hence the lbc constraints the variables such that every value occurs at least as often as specified by its lower cardinality bound. | |
| template<class T> | |
| int | lookupValue (T &a, int v) |
| Return the index of v in the array. | |
| template<class View, class Card, bool shared> | |
| ExecStatus | ubc (Space *home, ViewArray< View > &x, int &nb, HallInfo hall[], Rank rank[], PartialSum< Card > *ups, int mu[], int nu[]) |
| Upper Bounds constraint (UBC) stating Hence the ubc constraints the variables such that no value occurs more often than specified by its upper cardinality bound. | |
| template<class Card, bool isView> | |
| bool | check_alldiff (int n, ViewArray< Card > &k) |
| Check whether gcc can be rewritten to distinct. | |
| template<class View> | |
| int | x_card (ViewArray< View > &x, IntConLevel) |
| Compute the cardinality of the union of all variable domains in x. | |
| template<class Card, bool isView> | |
| ExecStatus | card_cons (Space *home, ViewArray< Card > &k, int n) |
| Check whether the cardinalities are consistent. | |
| template<class Card, bool isView> | |
| void | post_template (Space *home, ViewArray< IntView > &x, ViewArray< Card > &k, IntConLevel &icl) |
| Template to post the global cardinality constraint for the different interfaces. |
Enumeration Type Documentation
| enum Gecode::Int::GCC::BC |
Bounds constraint (BC) type.
If BC = UBC, then we argue about the Upper Bounds Constraint else we use the functions for the Lower Bounds Constraint
Definition at line 46 of file graphsup.icc.
Function Documentation
| ExecStatus Gecode::Int::GCC::prop_card | ( | Space * | home, | |
| ViewArray< View > & | x, | |||
| ViewArray< Card > & | k, | |||
| bool & | mod | |||
| ) | [inline] |
| bool Gecode::Int::GCC::card_consistent | ( | int & | smin, | |
| int & | smax, | |||
| ViewArray< View > & | x, | |||
| ViewArray< Card > & | k | |||
| ) | [inline] |
Consistency check, whether the cardinality values are feasible.
Definition at line 149 of file gccbndsup.icc.
| void Gecode::Int::GCC::pathset_ps | ( | HallInfo | hall[], | |
| int | start, | |||
| int | end, | |||
| int | to | |||
| ) | [inline] |
Path compression for potentially stable set structure.
Definition at line 598 of file gccbndsup.icc.
| void Gecode::Int::GCC::pathset_s | ( | HallInfo | hall[], | |
| int | start, | |||
| int | end, | |||
| int | to | |||
| ) | [inline] |
| void Gecode::Int::GCC::pathset_t | ( | HallInfo | hall[], | |
| int | start, | |||
| int | end, | |||
| int | to | |||
| ) | [inline] |
| void Gecode::Int::GCC::pathset_h | ( | HallInfo | hall[], | |
| int | start, | |||
| int | end, | |||
| int | to | |||
| ) | [inline] |
| int Gecode::Int::GCC::pathmin_h | ( | const HallInfo | hall[], | |
| int | i | |||
| ) | [inline] |
| int Gecode::Int::GCC::pathmin_t | ( | const HallInfo | hall[], | |
| int | i | |||
| ) | [inline] |
| int Gecode::Int::GCC::pathmax_h | ( | const HallInfo | hall[], | |
| int | i | |||
| ) | [inline] |
| int Gecode::Int::GCC::pathmax_t | ( | const HallInfo | hall[], | |
| int | i | |||
| ) | [inline] |
| int Gecode::Int::GCC::pathmax_s | ( | const HallInfo | hall[], | |
| int | i | |||
| ) | [inline] |
| int Gecode::Int::GCC::pathmax_ps | ( | const HallInfo | hall[], | |
| int | i | |||
| ) | [inline] |
Path maximum for potentially stable set pointer structure.
Definition at line 690 of file gccbndsup.icc.
| void Gecode::Int::GCC::reduce_card | ( | int | cmin, | |
| int | cmax, | |||
| ViewArray< Card > & | k | |||
| ) | [inline] |
Assert consistency in the cardinality specification for bounds propagation.
This is done by ensuring that only those values are specified with cardinalities, which are not smaller than the smallest value of all variable domains and not greater than the greatest value of all variable domains.
Definition at line 709 of file gccbndsup.icc.
| ExecStatus Gecode::Int::GCC::lbc | ( | Space * | home, | |
| ViewArray< View > & | x, | |||
| int & | nb, | |||
| HallInfo | hall[], | |||
| Rank | rank[], | |||
| PartialSum< Card > * | lps, | |||
| int | mu[], | |||
| int | nu[] | |||
| ) | [inline] |
Lower Bounds constraint (LBC) stating Hence the lbc constraints the variables such that every value occurs at least as often as specified by its lower cardinality bound.
- Parameters:
-
home current space x the problem variables nb denotes number of unique bounds hall contains information about the hall structure of the problem (cf. HallInfo) rank ranking information about the variable bounds (cf. Rank) lps partial sum structure for the lower cardinality bounds (cf. PartialSum) mu permutation such that nu permutation such that
| int Gecode::Int::GCC::lookupValue | ( | T & | a, | |
| int | v | |||
| ) | [inline] |
| ExecStatus Gecode::Int::GCC::ubc | ( | Space * | home, | |
| ViewArray< View > & | x, | |||
| int & | nb, | |||
| HallInfo | hall[], | |||
| Rank | rank[], | |||
| PartialSum< Card > * | ups, | |||
| int | mu[], | |||
| int | nu[] | |||
| ) | [inline] |
Upper Bounds constraint (UBC) stating Hence the ubc constraints the variables such that no value occurs more often than specified by its upper cardinality bound.
- Parameters:
-
home current space x the problem variables nb denotes number of unique bounds hall contains information about the hall structure of the problem (cf. HallInfo) rank ranking information about the variable bounds (cf. Rank) ups partial sum structure for the upper cardinality bounds (cf. PartialSum) mu permutation such that nu permutation such that
| bool Gecode::Int::GCC::check_alldiff | ( | int | n, | |
| ViewArray< Card > & | k | |||
| ) | [inline] |
Check whether gcc can be rewritten to distinct.
If the number of available values equals , we can rewrite gcc to distinct if every value occurs exactly once. If the number of available values is greater than , we can rewrite gcc to distinct if every value occurs at least zero times and atmost once, otherwise, there is no rewriting possible.
| int Gecode::Int::GCC::x_card | ( | ViewArray< View > & | x, | |
| IntConLevel | ||||
| ) | [inline] |
| ExecStatus Gecode::Int::GCC::card_cons | ( | Space * | home, | |
| ViewArray< Card > & | k, | |||
| int | n | |||
| ) | [inline] |
| void Gecode::Int::GCC::post_template | ( | Space * | home, | |
| ViewArray< IntView > & | x, | |||
| ViewArray< Card > & | k, | |||
| IntConLevel & | icl | |||
| ) | [inline] |


The intende palce of mine. cool but not a goog indentation work is done
The intende palce of mine. cool but not a good indentation work is done


Man found guilty of murdering British backpacker Grace Millane in New Zealand
The young woman from Essex had been on a round the world trip when she was killed.
A 27-year-old man has been found guilty of the murder of British backpacker Grace Millane whose body was found buried in a suitcase in New Zealand, local media reported.
The young woman from Wickford, Essex, was strangled by a man she had met on dating site Tinder and with whom she spent several hours drinking in the centre of Auckland on December 1, 2018.
The pair returned to his apartment and Ms Millane was killed either that night or in the early hours of the next morning – the date of her 22nd birthday.
The jury of seven women and five men returned a unanimous verdict after just five hours deliberation at Auckland High Court.
The Crown successfully argued the man, whose name is subject to a suppression order, strangled her and shoved her body inside a suitcase before burying her in a forested area outside Auckland.
She was assumed missing and her father, David Millane, flew to New Zealand as local authorities spent a week searching until her body was found by police.
The defence had claimed the death was accidental and occurred during rough sexual intercourse.
Justice Simon Moore told jury members before they delivered their verdict that they had to be certain the man had murderous intent when he put his hands on Ms Millane’s neck during sexual intercourse to convict him of murder, the New Zealand Herald reported.
Mr Moore asked: “Are you sure that when he applied pressure to Ms Millane’s neck… Did he intend to cause injury?”
He further asked them to consider if the accused was willing to take the chance of Ms Millane dying due to his actions.
“If yes, then (the defendant) is guilty of murder,” the judge said.
“In other words, (he) must have appreciated Ms Millane’s death was a likely consequence… but was willing to run that risk.”
The court had been told Ms Millane had an interest in BDSM, with a previous sexual partner testifying they had used safe words and physical tapping to indicate when physical pressure became overwhelming.
During the trial the jurors heard from forensic experts who examined the accused’s apartment for blood stains as well as Ms Millane’s body after her death.
They were also shown footage of the woman and the defendant drinking at various bars throughout Auckland and kissing before they returned to his apartment.
Video footage from the elevator of her exiting on the third floor marked the last recorded time Ms Millane was seen alive.


With Reward Bank users can earn real life rewards for doing tasks such as chores, homework, assignments etc. Great for teachers and parents. Knowing how and when to spend your hard earned cash is important and learning at a young age can set you up for success


Release Notes
1.2.0
(More information can be found here.)- Bugfixes
1.1.1
(More information can be found here.)- Bugfixes
1.1.0
(More information can be found here.)- Added preferences to split before the chapter's start time or after the chapter's end time
- Added user manual
- Added merging of chapters
- Added splitting of chapters
- Bugfixes
1.0.0
(More information can be found here.)- Created a working prototype that can read chapters of an MP4 file and export them as separate files into a folder


KCB Bank manager found dead inside toilet
by Mumbi MutukoHe went missing on Saturday
KCB Bank Nanyuki Branch manager was found dead inside his house after going missing on Saturday.
Junior employees of the bank had reported to police after phone calls to Mr George Kiarie went unanswered.
On Sunday, police found Mr Kiarie dead in his house after he failed to show up at work.
Laikipia County Commander Maxwell Nyaema, confirmed that police had found the body inside his house at Immanuel Flats in Nanyuki Town.
Detectives launched investigations into the cause of death. The body was transferred to the Nanyuki Teaching and Referral Hospital mortuary.


>{$vo.block_timestamp}
Mined By ai{$vo.coinbase}
{$vo.transaction_num} txns in {$vo.block_timestamp}
Block Reward {$vo.block_reward} AIT
From ai{$vo.from_address} To ai{$vo.to_address}
Amount {$vo.amount}


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| Alliance Party Nigeria | No. 1 Asa street, Abuja | … | |
| Peoples Central Party | New Seceteraite New Benin | … |


2.6. Typedef NamesA typedef lets us define a synonym for a type: typedef double wages; // wages is a synonym for double typedef int exam_score; // exam_score is a synonym for int typedef wages salary; // indirect synonym for double A typedef name can be used as a type specifier: wages hourly, weekly; // double hourly, weekly; exam_score test_result; // int test_result; A typedef definition begins with the keyword typedef, followed by the data type and identifier. The identifier, or typedef name, does not introduce a new type but rather a synonym for the existing data type. A typedef name can appear anywhere in a program that a type name can appear. Typedefs are commonly used for one of three purposes:
|


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This copy_to()
method works for all DBI sources. It is useful for
copying small amounts of data to a database for examples, experiments,
and joins. By default, it creates temporary tables which are typically
only visible to the current connection to the database.
# S3 method for src_sql copy_to(dest, df, name = deparse(substitute(df)), overwrite = FALSE, types = NULL, temporary = TRUE, unique_indexes = NULL, indexes = NULL, analyze = TRUE, ...)
| dest | remote data source |
|---|---|
| df | local data frame |
| name | name for new remote table. |
| overwrite | If |
| types | a character vector giving variable types to use for the columns. See http://www.sqlite.org/datatype3.html for available types. |
| temporary | if |
| unique_indexes | a list of character vectors. Each element of the list will create a new unique index over the specified column(s). Duplicate rows will result in failure. |
| indexes | a list of character vectors. Each element of the list will create a new index. |
| analyze | if |
| ... | other parameters passed to methods. |
A tbl()
object (invisibly).
library(dplyr) set.seed(1014) mtcars$model <- rownames(mtcars) mtcars2 <- src_memdb() %>% copy_to(mtcars, indexes = list("model"), overwrite = TRUE) mtcars2 %>% filter(model == "Hornet 4 Drive")#> Source: lazy query [?? x 12] #> Database: sqlite 3.11.1 [:memory:] #> #> # S3: tbl_dbi #> mpg cyl disp hp drat wt qsec vs am gear carb #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 #> # ... with 1 more variables: model <chr># copy_to is called automatically if you set copy = TRUE # in the join functions df <- tibble(cyl = c(6, 8)) mtcars2 %>% semi_join(df, copy = TRUE)#>#> Source: lazy query [?? x 12] #> Database: sqlite 3.11.1 [:memory:] #> #> # S3: tbl_dbi #> mpg cyl disp hp drat wt qsec vs am gear carb #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4 #> 2 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4 #> 3 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 #> 4 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2 #> 5 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1 #> 6 14.3 8 360 245 3.21 3.570 15.84 0 0 3 4 #> # ... with more rows, and 1 more variables: model <chr>


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| initializeCopyScenario {FSDM} | R Documentation |
initializeCopyScenario
initializes a new scenario by creating a
directory with the scenario name and copying the contents of an existing
scenario into that directory.
initializeCopyScenario(ModelsDir, ModelName, ConceptVars_, ScenarioName, CopyScenarioName, NumIncr)
ModelsDir |
a string identifying the path to the models folder in which the model is located. |
ModelName |
a string representation of the model name. |
ConceptVars_ |
a string vector of the model concept variable names. |
ScenarioName |
a string representation of the new scenario name. |
CopyScenarioName |
a string representation of the name of the scenario to copy. |
NumIncr |
an integer identifying the number of growth increments for the scenario. |
This function initializes a new scenario with the given scenario name from an existing scenario. It does this by creating a directory with the scenario name and copying the scenario files for an existing scenario into it. It creates a new scenario status list which identifies the name of the new scenario and the name of the parent scenario it is a copy of. It also identifies the number of growth increments in the new scenario.
a list containing a status list and a scenario values data frame.


See: Description
| Interface | Description |
|---|---|
| Converter |
Converts between Lua values and Java objects.
|
| JavaFunction |
Provides a Lua function implemented in Java.
|
| JavaReflector |
Reflects Java objects for access from Lua.
|
| LuaValueProxy |
Provides proxy access to a Lua value from Java.
|
| NamedJavaFunction |
Provides a named Java function.
|
| NativeSupport.Loader |
Loads the library.
|
| TypedJavaObject |
Represents a Java object with an explicit type.
|
| Class | Description |
|---|---|
| DefaultConverter |
Default implementation of the
Converter interface. |
| DefaultJavaReflector |
Default implementation of the
JavaReflector interface. |
| JavaModule |
Provides the Java module for Lua.
|
| LuaError |
Contains information about a Lua error condition.
|
| LuaStackTraceElement |
Represents an execution point in a Lua stack trace.
|
| LuaState |
JNLua core class representing a Lua instance.
|
| NativeSupport |
Loads the JNLua native library.
|
| Enum | Description |
|---|---|
| JavaReflector.Metamethod |
Lua metamethod.
|
| LuaState.GcAction |
Represents a Lua garbage collector action.
|
| LuaState.Library |
Represents a Lua library.
|
| LuaType |
Represents a Lua type.
|
| Exception | Description |
|---|---|
| LuaException |
Abstract base class for Lua error conditions.
|
| LuaMemoryAllocationException |
Indicates a Lua memory allocation error.
|
| LuaMessageHandlerException |
Indicates a Lua message handler error.
|
| LuaRuntimeException |
Indicates a Lua runtime error.
|
| LuaSyntaxException |
Indicates a Lua syntax error.
|
Provides the JNLua core types, such as the Lua state class and the core interfaces.


You rated yourself %@ compared to people you typically negotiate with. The reality is that it is hard to rate your overall effectiveness. After all, you usually know only your half of the story: did you leave some value on the table; did you stress an important relationship? The other side may not tell you, so there's plenty of room for self-doubt and worry.
Good negotiators are often modest about their skills. That humility serves them well, as it prompts them to prepare their strategy carefully. They also know that they have to be agile, ready to cope with changes in circumstances and whether other parties are cooperative or competitive.
Ideally, of course, you'd like to excel at each of the four skills: asserting your interests, understanding others, creating value, and claiming your share. But each of them involves a tradeoff. By being more open, you may encourage a cooperative response. But you could also risk exploitation, depending on whom you're dealing with. Likewise, firmly asserting your interests may win you a larger share, but if the other party also digs in, it could be harder for both of you to find creative solutions.
Tap a skill below to reveal some tips for improving your effectiveness
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Gecode::Int::Linear::NoView Class Reference
Inherits Gecode::ConstantViewBase.Detailed Description
No view serves as filler for empty view arrays.
Definition at line 30 of file noview.icc.
Constructors and initialization | |
| NoView (void) | |
| Default constructor. | |
| void | init (void) |
| Initialize. | |
Value access | |
| int | min (void) const |
| Return minimum of domain. | |
| int | max (void) const |
| Return maximum of domain. | |
| int | med (void) const |
| Return median of domain. | |
| int | val (void) const |
| Return assigned value (only if assigned). | |
| unsigned int | size (void) const |
| Return size (cardinality) of domain. | |
| unsigned int | width (void) const |
| Return width of domain (distance between maximum and minimum). | |
| unsigned int | regret_min (void) const |
| Return regret of domain minimum (distance to next larger value). | |
| unsigned int | regret_max (void) const |
| Return regret of domain maximum (distance to next smaller value). | |
Domain tests | |
| bool | range (void) const |
| Test whether domain is a range. | |
| bool | assigned (void) const |
| Test whether view is assigned. | |
| bool | in (int n) const |
| Test whether n is contained in domain. | |
| bool | in (double n) const |
| Test whether n is contained in domain. | |
Domain update by value | |
| ModEvent | lq (Space *home, int n) |
| Restrict domain values to be less or equal than n. | |
| ModEvent | lq (Space *home, double n) |
| Restrict domain values to be less or equal than n. | |
| ModEvent | le (Space *home, int n) |
| Restrict domain values to be less than n. | |
| ModEvent | le (Space *home, double n) |
| Restrict domain values to be less than n. | |
| ModEvent | gq (Space *home, int n) |
| Restrict domain values to be greater or equal than n. | |
| ModEvent | gq (Space *home, double n) |
| Restrict domain values to be greater or equal than n. | |
| ModEvent | gr (Space *home, int n) |
| Restrict domain values to be greater than n. | |
| ModEvent | gr (Space *home, double n) |
| Restrict domain values to be greater than n. | |
| ModEvent | nq (Space *home, int n) |
| Restrict domain values to be different from n. | |
| ModEvent | nq (Space *home, double n) |
| Restrict domain values to be different from n. | |
| ModEvent | eq (Space *home, int n) |
| Restrict domain values to be equal to n. | |
| ModEvent | eq (Space *home, double n) |
| Restrict domain values to be equal to n. | |
Dependencies | |
| void | subscribe (Space *home, Propagator *p, PropCond pc, bool process=true) |
| Subscribe propagator p with propagation condition pc to view. | |
| void | cancel (Space *home, Propagator *p, PropCond pc) |
| Cancel subscription of propagator p with propagation condition pc to view. | |
Cloning | |
| void | update (Space *home, bool share, NoView &x) |
| Update this view to be a clone of view x. | |
View comparison | |
| bool | operator== (const NoView &x) const |
| Test whether this view is the same as x. | |
| bool | operator!= (const NoView &x) const |
| Test whether this view is not the same as x. | |
| bool | operator< (const NoView &x) const |
| Test whether this view is smaller than x (arbitrary order). | |
| bool | operator> (const NoView &x) const |
| Test whether this view is larger than x (arbitrary order). | |
Propagator modification events | |
| static ModEvent | pme (const Propagator *p) |
| Return modification event of propagator p for view. | |
| static PropModEvent | pme (ModEvent me) |
| Translate modification event me to propagator modification event for view. |
Constructor & Destructor Documentation
|
|
Default constructor.
Definition at line 35 of file noview.icc. |
Member Function Documentation
|
|
Initialize.
Definition at line 37 of file noview.icc. |
|
|
Return minimum of domain.
Definition at line 43 of file noview.icc. |
|
|
Return maximum of domain.
Definition at line 45 of file noview.icc. |
|
|
Return median of domain.
Definition at line 47 of file noview.icc. |
|
|
Return assigned value (only if assigned).
Definition at line 49 of file noview.icc. |
|
|
Return size (cardinality) of domain.
Definition at line 52 of file noview.icc. |
|
|
Return width of domain (distance between maximum and minimum).
Definition at line 54 of file noview.icc. |
|
|
Return regret of domain minimum (distance to next larger value).
Definition at line 56 of file noview.icc. |
|
|
Return regret of domain maximum (distance to next smaller value).
Definition at line 58 of file noview.icc. |
|
|
Test whether domain is a range.
Definition at line 64 of file noview.icc. |
|
|
Test whether view is assigned.
Definition at line 66 of file noview.icc. |
|
|
Test whether n is contained in domain.
Definition at line 69 of file noview.icc. |
|
|
Test whether n is contained in domain.
Definition at line 71 of file noview.icc. |
|
|
Restrict domain values to be less or equal than n.
Definition at line 77 of file noview.icc. |
|
|
Restrict domain values to be less or equal than n.
Definition at line 79 of file noview.icc. |
|
|
Restrict domain values to be less than n.
Definition at line 81 of file noview.icc. |
|
|
Restrict domain values to be less than n.
Definition at line 83 of file noview.icc. |
|
|
Restrict domain values to be greater or equal than n.
Definition at line 85 of file noview.icc. |
|
|
Restrict domain values to be greater or equal than n.
Definition at line 87 of file noview.icc. |
|
|
Restrict domain values to be greater than n.
Definition at line 89 of file noview.icc. |
|
|
Restrict domain values to be greater than n.
Definition at line 91 of file noview.icc. |
|
|
Restrict domain values to be different from n.
Definition at line 93 of file noview.icc. |
|
|
Restrict domain values to be different from n.
Definition at line 95 of file noview.icc. |
|
|
Restrict domain values to be equal to n.
Definition at line 97 of file noview.icc. |
|
|
Restrict domain values to be equal to n.
Definition at line 99 of file noview.icc. |
|
|
Return modification event of propagator p for view.
Definition at line 105 of file noview.icc. |
|
|
Translate modification event me to propagator modification event for view.
Definition at line 107 of file noview.icc. |
|
|
Subscribe propagator p with propagation condition pc to view.
Definition at line 113 of file noview.icc. |
|
|
Cancel subscription of propagator p with propagation condition pc to view.
Definition at line 115 of file noview.icc. |
|
|
Update this view to be a clone of view x.
Definition at line 121 of file noview.icc. |
|
|
Test whether this view is the same as x.
Definition at line 127 of file noview.icc. |
|
|
Test whether this view is not the same as x.
Definition at line 129 of file noview.icc. |
|
|
Test whether this view is smaller than x (arbitrary order).
Definition at line 131 of file noview.icc. |
|
|
Test whether this view is larger than x (arbitrary order).
Definition at line 133 of file noview.icc. |
The documentation for this class was generated from the following file:
- gecode/int/linear/noview.icc (Revision: 3559)


{% block head %}{% endblock %} {% block body %}
Simple Math Game App
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Policies.SIC_MMAB module¶
SIC_MMAB: implementation of the decentralized multi-player policy from [[“SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits”, by Etienne Boursier, Vianney Perchet, arXiv 1809.08151, 2018](https://arxiv.org/abs/1809.08151)].
The algorithm is quite complicated, please see the paper (Algorithm 1, page 6).
The UCB-H indexes are used, for more details see
Policies.UCBH
.
-
Policies.SIC_MMAB.
c
= 1.0¶ default value, as it was in pymaBandits v1.0
-
Policies.SIC_MMAB.
TOLERANCE
= 0.0001¶ Default value for the tolerance for computing numerical approximations of the kl-UCB indexes.
-
class
Policies.SIC_MMAB.
State
¶ Bases:
enum.Enum
Different states during the Musical Chair algorithm
-
Communication
= 4¶
-
Estimation
= 2¶
-
Exploitation
= 5¶
-
Exploration
= 3¶
-
Fixation
= 1¶
-
__module__
= 'Policies.SIC_MMAB'¶
-
-
class
Policies.SIC_MMAB.
SIC_MMAB
(nbArms, horizon, lower=0.0, amplitude=1.0, alpha=4.0, verbose=False)[source]¶ Bases:
Policies.BasePolicy.BasePolicy
SIC_MMAB: implementation of the decentralized multi-player policy from [[“SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits”, by Etienne Boursier, Vianney Perchet, arXiv 1809.08151, 2018](https://arxiv.org/abs/1809.08151)].
-
__init__
(nbArms, horizon, lower=0.0, amplitude=1.0, alpha=4.0, verbose=False)[source]¶ nbArms: number of arms,
horizon: to compute the time \(T_0 = \lceil K \log(T) \rceil\),
alpha: for the UCB/LCB computations.
Example:
>>> nbArms, horizon, N = 17, 10000, 6 >>> player1 = SIC_MMAB(nbArms, horizon, N)
For multi-players use:
>>> configuration["players"] = Selfish(NB_PLAYERS, SIC_MMAB, nbArms, horizon=HORIZON).children
-
phase
= None¶ Current state
-
horizon
= None¶ Horizon T of the experiment.
-
alpha
= None¶ Parameter \(\alpha\) for the UCB/LCB computations.
-
Time0
= None¶ Parameter \(T_0 = \lceil K \log(T) \rceil\).
-
ext_rank
= None¶ External rank, -1 until known
-
int_rank
= None¶ Internal rank, starts to be 0 then increase when needed
-
nbPlayers
= None¶ Estimated number of players, starts to be 1
-
last_action
= None¶ Keep memory of the last played action (starts randomly)
-
t_phase
= None¶ Number of the phase XXX ?
-
round_number
= None¶ Number of the round XXX ?
-
active_arms
= None¶ Set of active arms (kept as a numpy array)
-
startGame
()[source]¶ Just reinitialize all the internal memory, and decide how to start (state 1 or 2).
-
compute_ucb_lcb
()[source]¶ Compute the Upper-Confidence Bound and Lower-Confidence Bound for active arms, at the current time step.
By default, the SIC-MMAB algorithm uses the UCB-H confidence bounds:
\[\begin{split}\mathrm{UCB}_k(t) &= \frac{X_k(t)}{N_k(t)} + \sqrt{\frac{\alpha \log(T)}{2 N_k(t)}},\\ \mathrm{LCB}_k(t) &= \frac{X_k(t)}{N_k(t)} - \sqrt{\frac{\alpha \log(T)}{2 N_k(t)}}.\end{split}\]Reference: [Audibert et al. 09].
Other possibilities include UCB (see
SIC_MMAB_UCB
) and klUCB (seeSIC_MMAB_klUCB
).
-
getReward
(arm, reward, collision=False)[source]¶ Receive a reward on arm of index ‘arm’, as described by the SIC-MMAB algorithm.
If not collision, receive a reward after pulling the arm.
-
__module__
= 'Policies.SIC_MMAB'¶
-
-
class
Policies.SIC_MMAB.
SIC_MMAB_UCB
(nbArms, horizon, lower=0.0, amplitude=1.0, alpha=4.0, verbose=False)[source]¶ Bases:
Policies.SIC_MMAB.SIC_MMAB
SIC_MMAB_UCB: SIC-MMAB with the simple UCB-1 confidence bounds.
-
compute_ucb_lcb
()[source]¶ Compute the Upper-Confidence Bound and Lower-Confidence Bound for active arms, at the current time step.
SIC_MMAB_UCB
uses the simple UCB-1 confidence bounds:
\[\begin{split}\mathrm{UCB}_k(t) &= \frac{X_k(t)}{N_k(t)} + \sqrt{\frac{\alpha \log(t)}{2 N_k(t)}},\\ \mathrm{LCB}_k(t) &= \frac{X_k(t)}{N_k(t)} - \sqrt{\frac{\alpha \log(t)}{2 N_k(t)}}.\end{split}\]Reference: [Auer et al. 02].
Other possibilities include UCB-H (the default, see
SIC_MMAB
) and klUCB (seeSIC_MMAB_klUCB
).
-
__module__
= 'Policies.SIC_MMAB'¶
-
-
class
Policies.SIC_MMAB.
SIC_MMAB_klUCB
(nbArms, horizon, lower=0.0, amplitude=1.0, alpha=4.0, verbose=False, tolerance=0.0001, klucb=CPUDispatcher(<function klucbBern>), c=1.0)[source]¶ Bases:
Policies.SIC_MMAB.SIC_MMAB
SIC_MMAB_klUCB: SIC-MMAB with the kl-UCB confidence bounds.
-
__init__
(nbArms, horizon, lower=0.0, amplitude=1.0, alpha=4.0, verbose=False, tolerance=0.0001, klucb=CPUDispatcher(<function klucbBern>), c=1.0)[source]¶ nbArms: number of arms,
horizon: to compute the time \(T_0 = \lceil K \log(T) \rceil\),
alpha: for the UCB/LCB computations.
Example:
>>> nbArms, horizon, N = 17, 10000, 6 >>> player1 = SIC_MMAB(nbArms, horizon, N)
For multi-players use:
>>> configuration["players"] = Selfish(NB_PLAYERS, SIC_MMAB, nbArms, horizon=HORIZON).children
-
c
= None¶ Parameter c
-
klucb
= None¶ kl function to use
-
tolerance
= None¶ Numerical tolerance
-
compute_ucb_lcb
()[source]¶ Compute the Upper-Confidence Bound and Lower-Confidence Bound for active arms, at the current time step.
SIC_MMAB_klUCB
uses the simple kl-UCB confidence bounds:
\[\begin{split}\hat{\mu}_k(t) &= \frac{X_k(t)}{N_k(t)}, \\ \mathrm{UCB}_k(t) &= \sup\limits_{q \in [a, b]} \left\{ q : \mathrm{kl}(\hat{\mu}_k(t), q) \leq \frac{c \log(t)}{N_k(t)} \right\},\\ \mathrm{Biais}_k(t) &= \mathrm{UCB}_k(t) - \hat{\mu}_k(t),\\ \mathrm{LCB}_k(t) &= \hat{\mu}_k(t) - \mathrm{Biais}_k(t).\end{split}\]If rewards are in \([a, b]\) (default to \([0, 1]\)) and \(\mathrm{kl}(x, y)\) is the Kullback-Leibler divergence between two distributions of means x and y (see
Arms.kullback
),
and c is the parameter (default to 1).
Reference: [Garivier & Cappé - COLT, 2011](https://arxiv.org/pdf/1102.2490.pdf).
Other possibilities include UCB-H (the default, see
SIC_MMAB
) and klUCB (seeSIC_MMAB_klUCB
).
-
__module__
= 'Policies.SIC_MMAB'¶
-


This allows you to specify a mathematical expression which, if true, will turn the job to unstbale
First the expression is split by logical operands of |,or,&,and,impl,imp,eq
Then it it is split by >,<, ==, !=, <=, >=, lt, gt, le, ge
Negation can be used only with logicalbrackets, strictly tied to left one - eg ![0 == 1]
each of the remaining parts is calcualted as mathematical expression. as powerfull as https://github.com/gbenroscience/ParserNG, with few extensions:
you can use L0 to access value of just finished build. L1 as value of last one before, L2 as two before and so on...Negative id on L is not allowed nowhere
points in chart chart with 4 bullets, wehich fifth build jsut finished would be L4 L3 L2 L1 L0
you can use ranges by `..`. Eg ..L1 is all before L0 (thus Ln...L2,L1). Similarly, L3.. would be L3,L2,L1. You can use also both limits - eg: L1..L3 o
Note, that the evaluation counts with what it see - if you denylist/allowlist, the points are filtered before given to formula. Similarly, if you show just last two point, you will get access only to L0 and L1. So show more :)
Expression : [[ avg(..L1)*1.1 < L0 ] || [L1*1.3 < L0 ]] || [ avgN(count(..L0)/4, ..L1)*1.1
Upon : 60,20,45,70
As : Ln...L1,L0
Expanded as: [[ avg(60,20,45)*1.1 < 70 ] || [45*1.3 < 70 ]] || [ avgN(count(60,20,45,70)/4, 60,20,45)*1.1<70 ]
brackets: [[ avg(60,20,45)*1.1 < 70 ] || [45*1.3 < 70 ]] || [ avgN(count(60,20,45,70)/4, 60,20,45)*1.1<70 ]
brackets: [ avg(60,20,45)*1.1 < 70 ] || [45*1.3 < 70 ]
evaluating: avg(60,20,45)*1.1 < 70
evaluating: avg(60,20,45)*1.1 < 70
evaluating: avg(60,20,45)*1.1
is: 45.833333333333336
evaluating: 70
is: 70
... 45.833333333333336 < 70
is: true
is: true
to: true || [45*1.3 < 70 ]
evaluating: 45*1.3 < 70
evaluating: 45*1.3 < 70
evaluating: 45*1.3
is: 58.5
evaluating: 70
is: 70
... 58.5 < 70
is: true
is: true
to: true || true
evaluating: true || true
evaluating: true
is: true
evaluating: true
is: true
... true | true
is: true
true
to: true || [ avgN(count(60,20,45,70)/4, 60,20,45)*1.1<70 ]
evaluating: avgN(count(60,20,45,70)/4, 60,20,45)*1.1<70
evaluating: avgN(count(60,20,45,70)/4, 60,20,45)*1.1<70
evaluating: avgN(count(60,20,45,70)/4, 60,20,45)*1.1
is: 45.833333337
evaluating: 70
is: 70
... 45.833333337 < 70
is: true
is: true
to: true || true
evaluating: true || true
evaluating: true
is: true
evaluating: true
is: true
... true | true
is: true
true
is: true
TRUE , thus job WILL be turned to unstable
Max number in L (and thus also in functions) is 99
The parser is far from being perfect, be nice to it.
The () brackets are avaiable only in side math expressions. The Logical part is using [] as separators. Eg:
1+1 < (2+0)*1 impl [ [5 == 6 || 33<(22-20)*2 ]xor [ [ 5-3 < 2 or 7*(5+2)<=5 ] and 1+1 == 2]] eq [ true && false ]
There is a special element MN, which represents count of input points, so you do not need to call `count(..L0)` arround and arround. So...
Expression : avg(..L1)*1.1-MN < L0 | L1*1.3 + MN< L0
Upon : 60,20,80,70
As : Ln...L1,L0
MN = 4
Expanded as: avg(60,20,80)*1.1-4 < 70 | 80*1.3 + 4< 70
...indeed.
Dynamic indexes
You can calculate the Lsomething by expressions. To do that, use L{expression}. Eg:
avg( ..L{MN/2}) < avg(L{MN/2}..)
Expression : avg( ..L{MN/2}) < avg(L{MN/2}..)
Upon : 2,4,6
As : Ln...L1,L0
MN = 3
L indexes brackets: avg( ..L{3/2}) < avg(L{3/2}..)
Expression : 3/2
Expanded as: 3/2
is: 1.5
3/2 = 1 (1.5)
to: avg( ..L 1 ) < avg(L{3/2}..)
Expression : 3/2
Expanded as: 3/2
is: 1.5
3/2 = 1 (1.5)
to: avg( ..L 1 ) < avg(L 1 ..)
Expanded as: avg( 2,4) < avg(4,6)
avg( 2,4) < avg(4,6)
brackets: avg( 2,4) < avg(4,6)
evaluating: avg( 2,4) < avg(4,6)
evaluating: avg( 2,4) < avg(4,6)
evaluating: avg( 2,4)
is: 3.0
evaluating: avg(4,6)
is: 5.0
... 3.0 < 5.0
is: true
is: true
true
is: true
true
Preset equations
There are some preset equations, usable in form of ID arg1 arg2 ... arg9. eg:
FINAL_DOWN_CUTTING_OK 2 5 5 5
To print them, use LIST_INTERNALS instead of expression or look onto
pre pprepared availabe embedded functions and exempalr config
You can add yours own preset expressions in main settings as url to file with definitions or as definitions themselves.
The syntax is as you saw
above:
- empty lines ignored
- behind hash(#) are comments and examples
- First comment si mandatory, and is ID
- after comments follow expression itself as by
ParserNG rules
- It can be multilined for readability (as ParserNG's --trim)
- parameters are included substitued into expression via /*1*/ for first param, /*2*/ for second and os on


[intra]
Go to the website of finanzen.net and find the security you want.
Select the corresponding stock exchange.
For the Daimler share on the XETRA stock exchange, for example, "aktien/daimler-aktie@stBoerse_XETRA" of "https://www.finanzen.net/aktien/daimler-aktie@stBoerse_XETRA" is entered here.


@jl777c So it sounds like KMD is in much need of something that creates significant revenue to help keep things moving. Hopefully AtomicDEX could fulfill that need one day. Otherwise, it seems alot of it will depend convincing external dev's to build on KMD, risking their own resources.
polycryptoblog04-Nov-19 02:21 AM
We will survive I’m not worried about it, much in the pipeline in terms of revenue generation and usage
74D3004-Nov-19 02:21 AM
Whats the Best crypto casino?
polycryptoblog04-Nov-19 02:23 AM
check cryptwerk.com
1
jl777c04-Nov-19 08:08 AM
@richardt is your opinion that things have not been moving?
Mark8104-Nov-19 08:14 AM
Maybe he need to see RedHat moment for KMD just like linux saw. I think Komodo is doing just fine or how can it be that we are able to hire new devs in bottom of bear market?
1
Acura04-Nov-19 03:01 PM
2
richardt04-Nov-19 03:15 PM
@jl777c I think things are moving and progress is being made. My concern is that funds continue to decrease while more resources are needed and the tech/products are not at the point to offset all that (in terms of usage and revenue).
jl777c04-Nov-19 03:15 PM
it is good that vast majority of funds are in BTC
3
Oszy04-Nov-19 03:23 PM
moving
jeezy04-Nov-19 03:27 PM
Oszy04-Nov-19 03:30 PM
casual 444K buy
jorian04-Nov-19 03:39 PM
i'm in disbelief mode, this must go down
74D3004-Nov-19 03:40 PM
Up up and away
Mark8104-Nov-19 03:44 PM
@jorian Neither do I
Although direction is better than what we have seen last few months....
Gordon Komodo04-Nov-19 03:47 PM
kmd massive dump in the past few months was probably because of wallet hacker dumping and Sam k64 dumping kmd investors money,
1
Cryptoon04-Nov-19 03:55 PM
Wouldnt be surprised either
7777 incoming
74D3004-Nov-19 03:57 PM
Another 10million about to be added to market cap
siu - Chainmakers04-Nov-19 04:14 PM
Ppaaammmppp
MorganJekyll04-Nov-19 04:26 PM
Pump pump pump it up. Eat the whole order book. Dragon is hungry
Neko04-Nov-19 05:12 PM
is this china
Bitfinger04-Nov-19 05:32 PM
Congrats gents, we broke the 60c resistance. We might need to retest it but we're above it
also regarding kmd richlist... do we really think binance is holding 10M+ in cold storage?
CHMEX04-Nov-19 06:32 PM
They said that yes
Cryptoon04-Nov-19 06:32 PM
they are up from 7million earlier this year, which would mean that more and more people are holding kmd long term on the exchagne?
crazy
CHMEX04-Nov-19 06:32 PM
Its in the distribution report
Cryptoon04-Nov-19 06:32 PM
aha cool
CHMEX04-Nov-19 06:32 PM
Not the address but they said something like 10.5m
So pretty close
Cryptoon04-Nov-19 06:32 PM
because it showed '?' after binance cold storage in dexstats, so I thought it's not not official yet maybe
CHMEX04-Nov-19 06:33 PM
Never saw them confrming that ( which they will not do) but the transactions indicate it
Will find out soon enough
Cryptoon04-Nov-19 06:34 PM
when they claim rewards?
or if
CHMEX04-Nov-19 06:34 PM
Yes
CoinKing8804-Nov-19 06:46 PM
would be awesome if i actually bought near the bottom yesterday, bring me 8000 sats tomorrow!
Mische04-Nov-19 06:47 PM
I sold a chunk right before the pump because of bills TT
Cryptoon04-Nov-19 07:11 PM
Bottom was 5100 or 5200 2 weeks ago?
Bought somr pirate last week
CoinKing8804-Nov-19 07:12 PM
"near" is relative
Cryptoon04-Nov-19 07:12 PM
Up 70% or so
CoinKing8804-Nov-19 07:12 PM
Just happy to see some action
Cryptoon04-Nov-19 07:12 PM
Feelsgoodman
74D3004-Nov-19 07:26 PM
Get ready for next move up
Sherdogz04-Nov-19 07:33 PM
Wake me up when we're at 14k
Flint04-Nov-19 07:58 PM
buyers dominate but according to technical analysis, the asset is heavily overbought and needs short-term correction to take new heights
ronyi04-Nov-19 07:58 PM
Just a simple question. Why we need 120conf. on Binance deposite? Just tryed now and little bit shocked...
Oszy04-Nov-19 07:59 PM
because we don't want you to sell
2
jokes aside it's binance's decision really
polycryptoblog04-Nov-19 08:03 PM
Yes, they were informed they could lower confs and choose not to
ronyi04-Nov-19 08:04 PM
Of course @Oszy. Intresting decision
LeshAft904-Nov-19 08:05 PM
maybe they don't believe in dpow
Oszy04-Nov-19 08:05 PM
or in themselves
Lanii04-Nov-19 08:06 PM
@Flint How can something possibly be heavy overbought if its lost over 90% its value from ath?
Flint04-Nov-19 08:09 PM
@Lanii on small time frames! Or do you think that after a 12% increase, the correction should not be? Or are you one of those who believe in the endless native? Do you know the pump and dump circuit? or did you think that this green candle - is it that investors came running to buy?
Lanii04-Nov-19 08:09 PM
Im one of those that dont belive in meme rsi
how can something possibly be overbought or oversold when there is a buer to every sell and a seller to every buy
Flint04-Nov-19 08:11 PM
remember that after ANY absolutely any growth there is a correction! I’m talking about this correction! Especially if it is 12% growth in less than 6 hours - look at timeframes and read what candlestick analysis is at your leisure and how timeframes differ
Lanii04-Nov-19 08:14 PM
Yes, I agree there is always a correction
but not because rsi is telling you its overbought or oversold
duh
if you expect certain things to happen based on rsi ur bound to get rekt
Markets can stay overbought/oversold for months
and there you are shorting every bounce longing every dip because rsi is telling you to do so
Flint04-Nov-19 08:15 PM
why then did we fall from the recent level of 0.0000759 in a couple of hours to 0.0000704? I’m talking about this correction! There are no real buyers right now - they are manipulating the price to gain the desired position and then again making the pump and making the dump again - after all, the asset has groped for an approximate bottom and the manipulators are feeling the situation
Lanii04-Nov-19 08:15 PM
we fell because there are some levels that need to be tested
not because rsi on your 5 min chart is saying so
Flint04-Nov-19 08:16 PM
we talk about inside daily timeframes from 5 minutes to 12 hours! stop confusing everything together!
and you use the bolinger clouds - they work out themselves perfectly - in a day I only thanks to them increased my portfolio with additional coins after 4 successful transactions


This chapter points out some common JavaScript mistakes.
JavaScript will allow you to break a statement into two lines:
But, breaking a statement in the middle of a string will not work:
Esta sentencia no se ejecuta, está comentada en JavaScript
You must use a "backslash" if you must break a statement in a string:
Because of a misplaced semicolon, this code block will execute regardless of the value of x:
It is a default JavaScript behavior to close a statement automatically at the end of a line.
Because of this, Demo1 y Demo2 examples will return the same result:
JavaScript will also allow you to break a statement into two lines.
This happens because closing (ending) statements with semicolon is optional in JavaScript. JavaScript will close the return statement at the end of the line, because it is a complete statement.
Many programming languages support arrays with named indexes.
Arrays with named indexes are called associative arrays (or hashes).
JavaScript does not support arrays with named indexes. In JavaScript, arrays use numbered indexes:
In JavaScript, objects use named indexes.
If you use a named index, when accessing an array, JavaScript will redefine the array to a standard object.
After the automatic redefinition, array methods and properties will produce undefined or incorrect results:
Trailing commas in object and array definition are legal in ECMAScript 5.
Object Example: person = {firstName:"John", lastName:"Doe", age:46,}
Array Example: points = [40, 100, 1, 5, 25, 10,];
WARNING: Internet Explorer 8 will crash. JSON does not allow trailing commas.
JSON Object Example: person = {firstName:"John", lastName:"Doe", age:46}
JSON Array Example: points = [40, 100, 1, 5, 25, 10];
With JavaScript, null is for objects, undefined is for variables, properties, and methods.
To be null, an object has to be defined, otherwise it will be undefined. If you want to test if an object exists, this will throw an error if the object is undefined:
JavaScript does not create a new scope for each code block.
It is true in many programming languages, but not true in JavaScript.
This code will display the value of i (10), even OUTSIDE the for loop block:


Idleness is harmful for the soul, and therefore the brothers should be occupied in manual labor at set times, and in sacred readings at set times in turn. Therefore, by this arrangement we believe that time should be arranged in two ways: that is, they should go outside the first thing in the morning from Easter to the first of October and produce what's needed from the first hour to nearly the fourth. But from the fourth hour to the sixth should be free for reading. Then after rising from the table after the sixth hour they should rest in their beds in total silence, or perchance one who wishes to read may read to himself in a way that doesn't disturb anyone else. Nones should be said a bit early, in the middle of the eighth hour, then what needs doing should again be done until evening. But if the needs or the difficult straits of the place require that they themselves be employed in gathering crops in, then they should not be discouraged, because they are then truly monks, if they live by work of their own hands, like both our fathers and the apostles. Nevertheless all things should be in moderation, for the sake of the fainthearted.
From the first of October to the start of Lent, they should be given time to read until the end of the second hour; then, after Tierce has been said, they should take up their assigned work until the ninth hour. But they should all cease their labor at the first stroke of the ninth hour and make themselves ready while the bell tolls. But after dining they should be given time for reading or for psalms. During Lent they should be given time to read from morning to the end of the third hour, and up to the end of the tenth hour they should do the work that is assigned to them. During Lent they should each take a single book from the library which they should read from start to finish, and these books are to be given out at the start of Lent. But first, one or two elders should be assigned to walk though the monastery during the hours that the brothers are free to read, and they should keep a lookout for, perchance, a slothful brother who dilly-dallies with leisure or tales and is not attentive to his reading, and not only is himself useless, but even disturbs the others. If such a one -- God forbid -- was discovered, he should be rebuked once or twice; if he doesn't improve, he should come under canonical reproof, in such a way to instill fear in the rest. And a brother shouldn't associate with another brother in unsuitable hours. On the Lord's day as well, they all should be free for reading, except for those who have been assigned to varius duties. If anyone is really so heedless and idle that he won't or can't meditate or read, he should be assigned work to do to keep him from idleness. For unwell or delicate brothers, such work or crafts should be assigned so that they be neither idle nor be oppressed or driven away by heavy labor; the abbot should take their weakness into account.


Before Change
device,
variable)])
elif variable in SENSOR_TEMP_TYPES:
add_devices([NestTempSensor(structure,
device,
variable)])
elif variable in WEATHER_VARIABLES:
json_variable = JSON_VARIABLE_NAMES.get(variable, None)
add_devices([NestWeatherSensor(structure,
device,
After Change
def setup_platform(hass, config, add_devices, discovery_info=None):
Setup the Nest Sensor.
for structure, device in nest.devices():
sensors = [NestBasicSensor(structure, device, variable)
for variable in config[CONF_MONITORED_CONDITIONS]
if variable in SENSOR_TYPES]
sensors += [NestTempSensor(structure, device, variable)
for variable in config[CONF_MONITORED_CONDITIONS]
if variable in SENSOR_TEMP_TYPES]
sensors += [NestWeatherSensor(structure, device,
WEATHER_VARS[variable])
for variable in config[CONF_MONITORED_CONDITIONS]
if variable in WEATHER_VARS]
add_devices(sensors)
class NestSensor(Entity):
Representation of a Nest sensor.


|
Are
You Ready?
(Tremonti/Stapp) |
|
Hey,
Mr. Seeker Hold on to this advice
If you keep seeking you will find Don't want to follow Down roads been walked before It's so hard to find unopened doors Are you ready? Are you ready? Hey, Mr. Hero Walking a thin, fine line Under the microscope of life Remember your roots, my friend They're right down below 'Cause heroes come and heroes go Ten, nine, eight, seven, six, five, four, three, two, one Count down to the change in life that's soon to come Your life has just begun |
|
|


fun openSimulator(): Unit
Run when the user clicks the "Simulator" tab.
Assembles the text in the editor, and then renders the simulator.


Downloads a new instance of an existing report definition. If the path parameter is specified it will be downloaded to the file at that path, otherwise it will be downloaded to memory and be returned as a string.
static
mixed
DownloadReport
(
mixed $reportDefinition, [
string $path =
NULL],
AdWordsUser $user, [
array $options =
NULL])
-
mixed
$reportDefinition: the ReportDefinition to download or the id of a stored report definition
-
string
$path: an optional path of the file to download the report to
-
AdWordsUser
$user: the user that created the ReportDefinition
-
array
$options: the option to use when downloading the report: {boolean} returnMoneyInMicros: if the money values in the report should be returned in micros {string} server: the server to make the request to. If NULL, then the default server will be used {string} version: the version to make the request against. If NULL, then the default version will be used
Downloads a report with AWQL. If the path parameter is specified it will be downloaded to the file at that path, otherwise it will be downloaded to memory and be returned as a string.
static
mixed
DownloadReportWithAwql
(
string $reportQuery, [
string $path =
NULL],
AdWordsUser $user,
$reportFormat, [
array $options =
NULL],
string $reportFormat:)
-
string
$reportQuery: the query to use for the report
-
string
$path: an optional path of the file to download the report to
-
AdWordsUser
$user: the user to retrieve report with
-
string
$reportFormat:: the report format to request
-
array
$options: the option to use when downloading the report: {string} server: the server to make the request to. If NULL, then the default server will be used {string} version: the version to make the request against. If NULL, then the default version will be used
-
$reportFormat


pingouin.madmedianrule¶
-
pingouin.
madmedianrule
(a)¶ Robust outlier detection based on the MAD-median rule.
- Parameters
- aarray-like
Input array. Must be one-dimensional.
- Returns
- outliers: boolean (same shape as a)
Boolean array indicating whether each sample is an outlier (True) or not (False).
See also
Notes
The MAD-median-rule ([1], [2]) will refer to declaring \(X_i\) an outlier if
\[\frac{\left | X_i - M \right |}{\text{MAD}_{\text{norm}}} > K,\]where \(M\) is the median of \(X\), \(\text{MAD}_{\text{norm}}\) the normalized median absolute deviation of \(X\), and \(K\) is the square root of the .975 quantile of a \(X^2\) distribution with one degree of freedom, which is roughly equal to 2.24.
References
- 1
Hall, P., Welsh, A.H., 1985. Limit theorems for the median deviation. Ann. Inst. Stat. Math. 37, 27–36. https://doi.org/10.1007/BF02481078
- 2
Wilcox, R. R. Introduction to Robust Estimation and Hypothesis Testing. (Academic Press, 2011).
Examples
>>> import pingouin as pg >>> a = [-1.09, 1., 0.28, -1.51, -0.58, 6.61, -2.43, -0.43] >>> pg.madmedianrule(a) array([False, False, False, False, False, True, False, False])


DungeonScript, a browser-based game engine built for a classic grid-based role playing game. Create a user account, load up the game, save it for later, and explore the basic game world created to demonstrate what is built thus far.
DungeonScript on GitHubA random new identity generator built over the course of 36 hours with a team of 6. Utilizes a variety of APIs to generate a new person, identity, images of what the new life will look like, and pull up a map of the new place of residence.
Fresh Start on GithubCreated by a team of 3 web developers, this version of Tic Tac Toe has a slight twist: players can increase the dimensions of the board instead of taking a turn, potentially turning the entire game onto its head.
Tic Tac Toe on GithubA freshman effort at a memory match game. Players must memorize the position of various images of popular game characters and match them correctly in as few guesses as possible.
Super Match Bros on Github


| Object | Count |
|---|---|
| Persons | 0 |
| Families | 0 |
| Spouse relations | ? |
| Child relations | ? |
The "Persons" are the various individuals that are registered in the system. Relations between individuals are registered in "Families". A person can be registered as "child" or as "spouse" in a particular family. Of course he or she will be child in one real family (although that family may not be registered here) and may be spouse in another family (or more).


Welcome to headless’ documentation!¶
headless¶
Functions and classes useful for operating a headless device e.g. Raspberry Pi or Intelligent Edge Gateway
-
headless.
is_logger
(log)¶ Returns True if the object is a Logger
-
headless.
is_log_handler
(logger, handler)¶ Determines if a given (named) Handler is assigned to a Logger.
Parameters: - logger (logging.Logger) – a logger object
- handler (logging.Handler) – a handler object
Returns: result
Return type:
-
headless.
get_caller_name
(depth=2, mod=True, cls=False, mth=False)¶ Gets the name of the calling module/class/method with format [module][.class][.method]
Parameters: Returns: caller name as [module][.class][.method]
Return type:
-
headless.
get_wrapping_logger
(name=None, filename=None, file_size=5, debug=False)¶ Initializes logging to console, and optionally a wrapping CSV formatted file of defined size. Default logging level is INFO. Timestamps are GMT/UTC/Zulu.
Parameters: - name (str) – name of the logger (optional, if None will use name of calling module)
- filename (str) – the name of the file if writing to a file (optional, no file created if not specified)
- file_size (int) – the max size of the file in megabytes, before wrapping occurs (optional)
- debug (bool) – enable DEBUG logging (default INFO)
Returns: a configured Logger
Return type:
-
class
headless.
RepeatingTimer
(seconds, callback, name=None, sleep_chunk=0.25, auto_start=True, defer=True, tick_log=False, **kwargs)¶ A Thread class that repeats function calls like a Timer but can be stopped, restarted and change interval. Thread can be automatically started on initialization, but timer must be started explicitly with
start_timer()
. Useslogging
which is set up based on the name of the calling module.Parameters: - callback (function) – the callback to execute each timer expiry
- seconds (int) – interval for timer repeat
- name (str) – used to identify the thread
- sleep_chunk (float) – tick cycle in seconds between state checks
- auto_start (bool) – automatically start the thread on initialization
- defer (bool) – wait until the first timer expiry before calling back
- tick_log (bool) – optional verbose debug logging of tick count (watch countdown)
- kwargs (dict) – optional keyword/value arguments to pass into the callback
-
run
()¶ Counts down the interval, checking every
sleep_chunk
the desired state.
-
start_timer
()¶ Initially start the repeating timer, or continue from where stopped.
-
stop_timer
()¶ Stop the repeating timer.
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restart_timer
()¶ Restart the repeating timer (e.g. after an interval change).
-
change_interval
(seconds)¶ Change the timer interval and restart it.
Parameters: seconds (int) – new timer value
-
terminate
()¶ Terminate the timer. (Cannot be restarted)
-
headless.
get_serial_ports
()¶ Returns a list of serial ports found on the system.
-
headless.
validate_serial_port
(target)¶ Validates a given serial port as available on the host.
Parameters: target – (str) the target port name e.g. ‘/dev/ttyUSB0’ Returns: result, details Return type: bool, str


This is a complete sample that downloads a list of values from the series web service using a JQuery Get Request and the Google Chart Tool. It makes two round trips to the service, one for each series and loads them asynchronously for a nice user experience.. The series service responds with JSON data, which is easy to turn into an object in Javascript. The anatomy of a json formatted recorded Value Objects is like this:
{"lt":0.0,"lg":0.0,"d":84.0,"t":1340827070070,"n":"some notes","dx":"some data","st":3}
Common mistake: Please be sure to read about access keys. The sample here required me to create two read keys - one for each point. The text of the key happens to be the same to make it easier to code, but you need to be sure to provide a key in the request that has read access to the point you are downloading.


For this project, we were challenged to dig out problems along a student’s journey from receiving the acceptance letter to the arrival at campus of Carnegie Mellon University(CMU). We were asked to pick up a problem and solve it with a responsive website innovatively. Class Star is the solution we came up with to solve the waitlist problem during course registration for new admitted students. We turned waitlist into exchangable spots and changed the suffering experience into an enjoyable one.
Date: Autumn 2016, 3 weeks
Team: Xiaonan Chen, James Yan
My Role: Researcher, Designer
We conducted guerrilla research with one undergraduate student and two graduate students to learn their journey to CMU. Based on the interview, we made an as-is customer journey map depicting all the stages that a student might come across on his or her journey to the university. Among all the action, we defined three problem spaces. br>
Guerrilla Reserch: get it fast, get it for free.
Sam
19 years old
Sophomore
Native resident
Shirley
26 years old
First-year graduate student
Native resident
Ying
24 years old
Second-year graduate student
International student
Problem Space 1:
Previous house selling
"The process of selling old house is stressful because I don't have good legal advice to help me negotiate."
Problem Space 3:
Renting new house/apartment
“I don’t have time to fly to Pittsburgh to check the house situation.”
“We asked for a few pictures remotely, but hard to tell it’s a good place or not.”
Problem Space 3:
Course registration
“So many people on the waitlist. I don’t know if I can get into the class.”
“I kept auditing all classes that I was interested in to keep tracking. This is exhausted.”
After looking into all the problem spaces and considering the medium we were required to use — responsive website, we finally decided that the third problem space — course registration — was the most appropriate one to focus.
Students have difficulties in making decision in course registration, which makes them confused and frustrated. The difficulties are mainly in two aspects:
1) It’s hard to make decision on which course to take due to the lack of course information and feedback from previous students;
2) It’s hard to make decision on whether to stay on a course waitlist because students have no idea on the chances that they could get into the course.
We kept looking into the two aspects, and found out that the first one could basically be solved through communication with professors and other students. While the second one, waitlist, was the hard one to solve.
Students on waitlist don’t know if they can get into the course. They can only wait and hope.
Students who resigter late stay at the bottom of waitlist, so they basically have no chance to get in even if they have an extremely strong desire towards the course.
The current waitlist system follows the following rules:
Ordered by registration time. It follows “first come first serve” rule, but registration time for different students are randomly distributed, which might result unfairness.
Maximum waitlist 5 courses. Each student can waitlist 5 courses at most.
No communication ways among students. Students on waitlist are not able to know other students’ thoughts or preference towards the course.
Don’t show the chances for getting in. So students can only wait and hope to get a spot.
“Reframing is a method of shifting semantic perspective in order to see things in a new way.”
— Jon Kolko
After several rounds of ideation, we came up with this idea to make the waitlist spots into something exchangeable, and give them “price” by measuring a student’s desire towards the course. The stronger desire a student has, the higher “price” he or she would love to “pay” for the spot.
Under the envisioned system, the waitlist follows the following rules:
Ordered by preference and use stars to mesuare it. We take out registration time factor out of current system, and instead, order waitlist spots based on students’ preference measured by stars. Each student will be given 10 stars before class registration starts.
Droplist and waitlist. We let students know who is considering dropping a course by creating a droplist. Students who have already registered a class but considering dropping it put their names on the drop list, so waitlist students could know their chances of getting into the course.
Automatic exchange system. At a certain time of the day, the system will automatically match waitlist students with droplist students based on their relative position. The exchange is daily until the end of course registration period.
Chat function. Students on waitlist have no way to know other students’ thoughts or preference towards the course.
With the envisioned system in mind, we imagined the future course registration process and made a new future customer journey map, within which no pain points exist during course registration for CMU students.
1. Reframing is not only a method, but also an attitude for pushing design. In this project, I first learned how to envision a preferred future with “reframing”, and it greatly changed my way of observing things. As Jon Kolko, the founder of Austin Center for Design, describes, reframing is a method of shifting semantic perspective in order to see things in a new way. It is such a powerful tool to midwife client’s desiderata, which could never been imagined at the beginning, either by client or designer. Besides, reframing should also be used as an attitute across all design stages. Always believe that “I’m working on the wrong thing” and open to all possiblilities would help discover better paths.
2. Combining two models as design instruction. In this design, we followed two design models: the analysis-synthesis bridge model (left) and the double diamond model (right). I find that combining the two models is a quite effective way to walk through the process, since they instruct me to be aware of where to continuously push and where to stop and make a decision.
3. Metaphor of objects should reflect user’s mental model in reality. In this project, we first used badges instead of stars to represent student’s preference. But the feedback we got from students show that badges would cause some confusion, since it represents some kind of accomplishment in most cases. So finally we changed to stars - a more appropriate representation for preference. In our design, everything we use should confirm with users’ mental model and image in real life to reduce users’ mental burden when using our product.


Latitude
Plots
Maximum Temperature
Humidity
Cloudiness
Wind Speed
Comparison
Data
Comparison: Latitude vs. X
Click any plot to get an in-depth analysis
vs. Max Temperature
vs. Humidity
vs. Cloudiness
vs. Wind-speed


Name:
Email:
Website:
Comment:
Prefilled text area
Opt-in settings:
Can send email?
Can send SMS?
Which sex are you:
Female
Male
Where did you hear of us:
From the Internet
At the water cooler
From your mother
Select the preferred media for contacting you:
Email
Telephone
Direct mail
Select the media we can use for contacting you if the preferred media is unavailable:
Email
Telephone
Direct mail
Select your interests:
Males
Females
Others


longtables¶
longtable¶
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longtable having :widths: option¶
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cell1-1 |
cell1-2 |
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cell3-1 |
cell3-2 |
See mylongtable, same as this one.
longtable having :align: option¶
header1 |
header2 |
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cell1-1 |
cell1-2 |
cell2-1 |
cell2-2 |
cell3-1 |
cell3-2 |
longtable with tabularcolumn¶
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cell1-1 |
cell1-2 |
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cell3-1 |
cell3-2 |
longtable having verbatim¶
header1 |
header2 |
|---|---|
hello world
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cell1-2 |
cell2-1 |
cell2-2 |
cell3-1 |
cell3-2 |
longtable having both :widths: and problematic cell¶
header1 |
header2 |
|---|---|
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cell1-2 |
cell2-1 |
cell2-2 |
cell3-1 |
cell3-2 |
longtable having problematic cell¶
header1 |
header2 |
|---|---|
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cell1-2 |
cell2-1 |
cell2-2 |
cell3-1 |
cell3-2 |
longtable having both stub columns and problematic cell¶
header1 |
header2 |
header3 |
|---|---|---|
|
instub1-2 |
notinstub1-3 |
cell2-1 |
cell2-2 |
cell2-3 |


PLANET SICK-BOY: http://www.sick-boy.com "We Put the SIN in Cinema" ©Copyright 2001 Planet Sick-Boy. All Rights Reserved.
If you charted the success of Sam Raimi's films on a graph, it would look like a big `W.' He started with the deliciously diabolical Evil Dead trilogy and the first Darkman film, only to follow them up with the extremely disappointing The Quick and the Dead. Raimi rebounded with the amazing A Simple Plan, but then, in a surprise to the director's fans, he decided to make a baseball film with Kevin Costner. Baseball? Kevin Costner?  Fool me twice (Field of Dreams), shame on me. Fool me three times (For Love of the Game), and you'd better be wearing some kind of protection over your private parts.
Luckily, Raimi's latest film, a welcome return to the frightening fare that made him famous, is a big step in the right direction (his next project is the new Spider-Man film). The Gift is a nifty little thriller with a terrific cast full of recent Oscar winners and nominees, highlighted by a strong performance from Cate Blanchett (The Talented Mr. Ripley). Raimi proves he can still make with the creepy, but The Gift has the misfortune of following three of the best hair-raisers in quite some time (What Lies Beneath, The Sixth Sense and The Blair Witch Project). It's moody, atmospheric and, at times, downright unnerving, but The Gift just isn't in the same league.
The film's first five minutes establish Annie Wilson (Blanchett) as a recently widowed single mother with three children who live in the swampy Georgia burg of Brixton. She's a psychic, but more of a social worker to her customers than a carnival sideshow act. Annie prods people to call their doctors when she sees something in her tarot cards that indicate a medical problem. When one client (Hilary Swank, Boys Don't Cry) appears to have been beaten by her husband, Annie desperately tries to talk her into leaving the brute (Keanu Reeves, The Replacements). She is admired and respected by the people she helps and regarded as a bride of Satan/witch doctor/voodoo high priestess by the rest of the redneck town.
The Gift's story, co-written by Plan's Oscar-nominated actor Billy Bob Thornton and his One False Move and A Family Thing writing partner Tom Epperson, centers on the disappearance of a local girl named Jessica (Katie Holmes, Wonder Boys), who is engaged to the school principal (Greg Kinnear, Loser) and the daughter of a prominent businessman. Like Laura Palmer, Jessica was a hot, young nymphomaniac, doing pretty much every guy in Brixton, and eventually her nude carcass is discovered in a body of water. And, like Twin Peaks, Brixton is a town full of kooky suspects, each of which seem to have a motive in Jessica's murder. There's enough red herring here to fill Brixton's swamp.
Showing he's no stranger to the horror genre, Raimi fills The Gift with enough of Annie's unnerving flashes forward and backward to keep you on the edge of your seat. When you can feel the tension in an audience rise by a character simply drawing a bath, you know the director is doing something right. There is an awkward courtroom scene that feels out of place, but, for the most part, Raimi does a very good job keeping the somewhat clunky story moving along. The supporting cast does well (even Keanu) and seems to be having a pretty good time acting like hillbillies (look for Danny Elfman in a two-second cameo as a fiddle-playing hayseed). But The Gift is as much Blanchett's film to carry as it is Raimi's. And they both do a splendid job.
1:51 – R for adult language, violence, nudity, sexual content and some disturbing imagery
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RRD Graphs with Flot, with DS Filter Operations
RRD URL:
Update
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RRD file
None


Architectural patterns are a method of arranging blocks of functionality to address a need. Patterns can be used at the software, system, or enterprise levels. Pattern usage is an excellent way to reuse knowledge to address various problems. For example: in devonfw there is a clearly and cleanly defined Business component Architecture which divides the application into business components. The component part assigned to the logic layer contains the functional use-cases the business component is responsible for.
Devonfw is a flexible solution that provides support for a wide range of technologies across all layers of the application architecture including the three industry standard, dominant, ecosystems for custom software development: Java, .NET and JavaScript (EcmaScript/TypeScript)
Devonfw comes with a fully featured IDE in order to simplify the installation, configuration and maintenance of this instrumental part of the development environment. As it is being included in the distribution, the IDE is ready to be used and some specific configuration of certain plugins only takes a few minutes.