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14 Dec 2013
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Node.js and Yun
28 Jun 2013
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Machine Cloud Raspi-Shield v1 Build
29 May 2013
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Heroku Deploy Visualizer
26 May 2013
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The Heroku Outage Lights System
20 Jun 2011
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IMGKit 1.3 Released!
15 Jun 2011
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Transitioning my Jekyll site to Heroku (Rack)
11 Jun 2011
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Joining Heroku
12 Dec 2010
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Introducing IMGKit
29 Oct 2010
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Permutations and Combinations with Ruby's Array
19 Sep 2010
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Hello, strace (an introduction to strace)
Open Source
Machine Cloud
Distributed system proof of concept for Internet/Cloud of Things on Heroku
Arduino HTTP
An HTTP request library for Arduino
node-logfmt
Node.js package for consuming Heroku logp output and generic key=value logging
Lucy Goosey
Command line option parser for Ruby that exposes a single function call and just returns a Hash.
IMGKit
This is a ruby gem that uses wkhtmltoimage to generate jpgs from HTML and CSS
Cerberus Prox Frontend
This is a BDDed Rails 3 app I developed that we use at the Austin Hackerspace to manage the RFID door system
Chaos-Composer
Derive MIDI melodies from Chaotic Equations (before I learned the ways of TDD)
Talks
The Bundler: The Good, The Bad, and the NP-Complete
This is a talk on using the Bundler, given at Austin On Rails
slides using Showoff
Academic Work
Musical Machines
My Master's thesis on deriving MIDI melodies from Chaotic equations
Exploiting Mindstorms NXT: Mapping and Localization Projects for the AI Course
This paper introduced two versions (Java and C) of a one-dimensional monte-carlo localizing robot for use in teaching graduate level AI courses.
Mindstorms Without Robotics
This is a paper that taught assembly programming via builing a simon says game on the Lego Mindstorms robot.


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DOLORES CLAIBORNE A film review by James Berardinelli Copyright 1995 James Berardinelli
RATING (0 TO 10): 7.8
U.S. Availability: general release 3/24/95 Running Length: 2:11 MPAA Classification: R (Mature themes, language)
Starring: Kathy Bates, Jennifer Jason Leigh, Christopher Plummer, David Strathairn, Judy Parfitt, Ellen Muth, John C. Reilly, Eric Bogosian Director: Taylor Hackford Producers: Taylor Hackford and Charles Mulvehill Screenplay: Tony Gilroy based on the book by Stephen King Cinematography: Gabriel Beristain Music: Danny Elfman Released by Columbia Pictures
Stephen King makes his living by writing horror stories, so it's odd that the most successful screen adaptations of his work are those outside the boundaries of his usual genre. STAND BY ME, MISERY, THE SHAWSHANK REDEMPTION, and now DOLORES CLAIBORNE are all intelligent, well-fashioned films that bear little resemblance to the gory schlock of SLEEPWALKERS and PET SEMATARY.
DOLORES CLAIBORNE begins as a dark and dreary murder mystery set in the small town of Little Tall, Maine. The skies above this village are continually congested with clouds, the streets are slick with rain, and the sea is gray and angry. Yet this story, which starts out as an investigation of a suspicious death, soon takes a grim, disturbing turn. Memories crowd out the present as the narrative takes us back eighteen years to expose the ugly roots of one family's dysfunction.
Two deaths lie at the center of DOLORES CLAIBORNE--Vera Donovan's (Judy Parfitt) in the present and Joe St. George's (David Strathairn) in the past. After Joe fell into a partially-concealed well during the total solar eclipse of 1975, his wife Dolores (Kathy Bates) was suspected, but never convicted, of murder. The death was eventually ruled as accidental, splotching the previously-perfect record of Detective John Mackey (Christopher Plummer). Now, nearly two decades later, Dolores stands accused of killing her invalid employer and, although the evidence is entirely circumstantial, Mackey is determined to get a conviction.
Dolores' daughter Selena (Ellen Muth at age 13; Jennifer Jason Leigh at age 31), a reporter living in New York city, receives a fax of an article in a Bangor newspaper detailing her mother's suspected involvement in Vera's death. Haunted by her muddled recollections of her father's end and driven by an unshakable conviction that her mother is guilty, she takes a brief leave-of-absence to go home. Once there, she is confronted not only by the unpleasantness of the present, but by the ghosts of the past.
Parts of DOLORES CLAIBORNE are delivered with an unshielded emotional and psychological impact. The script is not consistently at this high level--there are times, most notably during the climactic sequence--when unfortunate choices are made, but the overall result is a film that illuminates certain "forbidden" shadows. Generally, mainstream movies avoid risky material like this honest exposition of the issues underlying the fissure between Dolores and Selena.
The main characters, mother and daughter, are well-written and effectively portrayed. Dolores is a sad, lonely survivor who has, perhaps unjustly, endured a lifetime of misery. Secrets can be an oppressive burden, and Dolores has been worn down by them. Selena, on the other hand, has become an alcoholic and drug-abuser as the result of what she has repressed. Bates and Leigh, two accomplished and versatile actors, are in peak form as they settle into the isolation of their characters--two very different people whose individual pain is intertwined.
Less effort is vested in DOLORES CLAIBORNE's male principals. In the case of Joe, this is understandable. He exists only in flashbacks with our impressions filtered through Dolores' perspective. She has no reason to recall him kindly, and Strathairn's portrayal echoes this. Plummer's John Mackey, on the other hand, is basically an unpleasant person. Supposedly, he's a very good detective, but we're never shown anything other than obsession and bitterness.
There's a lot to digest in DOLORES CLAIBORNE. The subtle visual effects, which mix digital animation and live-action, form an effective framework for a story teeming with emotional turmoil. With their unique method of delineating shifts in time (a person in the present actually walking into the past), the flashbacks are invested with a degree of eerie immediacy. Although the forced ending, which seems deigned to create an unnatural moment of triumph, weakens the climactic catharsis, it doesn't diminish the human tragedy which is central to DOLORES CLAIBORNE.
- James Berardinelli<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


This part of the manual is a tutorial introduction to the OCaml language. A good familiarity with programming in a conventional languages (say, C or Java) is assumed, but no prior exposure to functional languages is required. The present chapter introduces the core language. Chapter 2 deals with the module system, chapter 3 with the object-oriented features, chapter 4 with labeled arguments, chapter 5 with polymorphic variants, chapter 6 with the limitations of polymorphism, and chapter 8 gives some advanced examples.
For this overview of OCaml, we use the interactive system, which is started by running ocaml from the Unix shell or Windows command prompt. This tutorial is presented as the transcript of a session with the interactive system: lines starting with # represent user input; the system responses are printed below, without a leading #.
Under the interactive system, the user types OCaml phrases terminated by ;; in response to the # prompt, and the system compiles them on the fly, executes them, and prints the outcome of evaluation. Phrases are either simple expressions, or let definitions of identifiers (either values or functions).
The OCaml system computes both the value and the type for each phrase. Even function parameters need no explicit type declaration: the system infers their types from their usage in the function. Notice also that integers and floating-point numbers are distinct types, with distinct operators: + and * operate on integers, but +. and *. operate on floats.
Recursive functions are defined with the let rec binding:
In addition to integers and floating-point numbers, OCaml offers the usual basic data types:
Predefined data structures include tuples, arrays, and lists. There are also general mechanisms for defining your own data structures, such as records and variants, which will be covered in more detail later; for now, we concentrate on lists. Lists are either given in extension as a bracketed list of semicolon-separated elements, or built from the empty list [] (pronounce “nil”) by adding elements in front using the :: (“cons”) operator.
As with all other OCaml data structures, lists do not need to be explicitly allocated and deallocated from memory: all memory management is entirely automatic in OCaml. Similarly, there is no explicit handling of pointers: the OCaml compiler silently introduces pointers where necessary.
As with most OCaml data structures, inspecting and destructuring lists is performed by pattern-matching. List patterns have exactly the same form as list expressions, with identifiers representing unspecified parts of the list. As an example, here is insertion sort on a list:
The type inferred for sort, 'a list -> 'a list, means that sort can actually apply to lists of any type, and returns a list of the same type. The type 'a is a type variable, and stands for any given type. The reason why sort can apply to lists of any type is that the comparisons (=, <=, etc.) are polymorphic in OCaml: they operate between any two values of the same type. This makes sort itself polymorphic over all list types.
The sort function above does not modify its input list: it builds and returns a new list containing the same elements as the input list, in ascending order. There is actually no way in OCaml to modify a list in-place once it is built: we say that lists are immutable data structures. Most OCaml data structures are immutable, but a few (most notably arrays) are mutable, meaning that they can be modified in-place at any time.
The OCaml notation for the type of a function with multiple arguments is
arg1_type -> arg2_type -> ... -> return_type. For example,
the type inferred for insert, 'a -> 'a list -> 'a list, means that insert
takes two arguments, an element of any type 'a and a list with elements of
the same type 'a and returns a list of the same type.
OCaml is a functional language: functions in the full mathematical sense are supported and can be passed around freely just as any other piece of data. For instance, here is a deriv function that takes any float function as argument and returns an approximation of its derivative function:
Even function composition is definable:
Functions that take other functions as arguments are called “functionals”, or “higher-order functions”. Functionals are especially useful to provide iterators or similar generic operations over a data structure. For instance, the standard OCaml library provides a List.map functional that applies a given function to each element of a list, and returns the list of the results:
This functional, along with a number of other list and array functionals, is predefined because it is often useful, but there is nothing magic with it: it can easily be defined as follows.
User-defined data structures include records and variants. Both are defined with the type declaration. Here, we declare a record type to represent rational numbers.
Record fields can also be accessed through pattern-matching:
Since there is only one case in this pattern matching, it is safe to expand directly the argument r in a record pattern:
Unneeded fields can be omitted:
Optionally, missing fields can be made explicit by ending the list of fields with a trailing wildcard _::
When both sides of the = sign are the same, it is possible to avoid repeating the field name by eliding the =field part:
This short notation for fields also works when constructing records:
At last, it is possible to update few fields of a record at once:
With this functional update notation, the record on the left-hand side of with is copied except for the fields on the right-hand side which are updated.
The declaration of a variant type lists all possible forms for values of that type. Each case is identified by a name, called a constructor, which serves both for constructing values of the variant type and inspecting them by pattern-matching. Constructor names are capitalized to distinguish them from variable names (which must start with a lowercase letter). For instance, here is a variant type for doing mixed arithmetic (integers and floats):
This declaration expresses that a value of type number is either an integer, a floating-point number, or the constant Error representing the result of an invalid operation (e.g. a division by zero).
Enumerated types are a special case of variant types, where all alternatives are constants:
To define arithmetic operations for the number type, we use pattern-matching on the two numbers involved:
Another interesting example of variant type is the built-in 'a option type which represents either a value of type 'a or an absence of value:
This type is particularly useful when defining function that can fail in common situations, for instance
The most common usage of variant types is to describe recursive data structures. Consider for example the type of binary trees:
This definition reads as follows: a binary tree containing values of type 'a (an arbitrary type) is either empty, or is a node containing one value of type 'a and two subtrees also containing values of type 'a, that is, two 'a btree.
Operations on binary trees are naturally expressed as recursive functions following the same structure as the type definition itself. For instance, here are functions performing lookup and insertion in ordered binary trees (elements increase from left to right):
( This subsection can be skipped on the first reading )
Astute readers may have wondered what happens when two or more record fields or constructors share the same name
The answer is that when confronted with multiple options, OCaml tries to use locally available information to disambiguate between the various fields and constructors. First, if the type of the record or variant is known, OCaml can pick unambiguously the corresponding field or constructor. For instance:
In the first example, (r:first_record) is an explicit annotation telling OCaml that the type of r is first_record. With this annotation, Ocaml knows that r.x refers to the x field of the first record type. Similarly, the type annotation in the second example makes it clear to OCaml that the constructors A, B and C come from the first variant type. Contrarily, in the last example, OCaml has inferred by itself that the type of r can only be first_record and there are no needs for explicit type annotations.
Those explicit type annotations can in fact be used anywhere. Most of the time they are unnecessary, but they are useful to guide disambiguation, to debug unexpected type errors, or combined with some of the more advanced features of OCaml described in later chapters.
Secondly, for records, OCaml can also deduce the right record type by looking at the whole set of fields used in a expression or pattern:
Since the fields x and y can only appear simultaneously in the first record type, OCaml infers that the type of project_and_rotate is first_record -> first_record.
In last resort, if there is not enough information to disambiguate between different fields or constructors, Ocaml picks the last defined type amongst all locally valid choices:
Here, OCaml has inferred that the possible choices for the type of {x;z} are first_record and middle_record, since the type last_record has no field z. Ocaml then picks the type middle_record as the last defined type between the two possibilities.
Beware that this last resort disambiguation is local: once Ocaml has chosen a disambiguation, it sticks to this choice, even if it leads to an ulterior type error:
Moreover, being the last defined type is a quite unstable position that may change surreptitiously after adding or moving around a type definition, or after opening a module (see chapter 2). Consequently, adding explicit type annotations to guide disambiguation is more robust than relying on the last defined type disambiguation.
Though all examples so far were written in purely applicative style, OCaml is also equipped with full imperative features. This includes the usual while and for loops, as well as mutable data structures such as arrays. Arrays are either created by listing semicolon-separated element values between [| and |] brackets, or allocated and initialized with the Array.make function, then filled up later by assignments. For instance, the function below sums two vectors (represented as float arrays) componentwise.
Record fields can also be modified by assignment, provided they are declared mutable in the definition of the record type:
OCaml has no built-in notion of variable – identifiers whose current value can be changed by assignment. (The let binding is not an assignment, it introduces a new identifier with a new scope.) However, the standard library provides references, which are mutable indirection cells, with operators ! to fetch the current contents of the reference and := to assign the contents. Variables can then be emulated by let-binding a reference. For instance, here is an in-place insertion sort over arrays:
References are also useful to write functions that maintain a current state between two calls to the function. For instance, the following pseudo-random number generator keeps the last returned number in a reference:
Again, there is nothing magical with references: they are implemented as a single-field mutable record, as follows.
In some special cases, you may need to store a polymorphic function in a data structure, keeping its polymorphism. Doing this requires user-provided type annotations, since polymorphism is only introduced automatically for global definitions. However, you can explicitly give polymorphic types to record fields.
OCaml provides exceptions for signalling and handling exceptional conditions. Exceptions can also be used as a general-purpose non-local control structure, although this should not be overused since it can make the code harder to understand. Exceptions are declared with the exception construct, and signalled with the raise operator. For instance, the function below for taking the head of a list uses an exception to signal the case where an empty list is given.
Exceptions are used throughout the standard library to signal cases where the library functions cannot complete normally. For instance, the List.assoc function, which returns the data associated with a given key in a list of (key, data) pairs, raises the predefined exception Not_found when the key does not appear in the list:
Exceptions can be trapped with the try…with construct:
The with part does pattern matching on the exception value with the same syntax and behavior as match. Thus, several exceptions can be caught by one try…with construct:
Also, finalization can be performed by trapping all exceptions, performing the finalization, then re-raising the exception:
An alternative to try…with is to catch the exception while pattern matching:
Note that this construction is only useful if the exception is raised between match…with. Exception patterns can be combined with ordinary patterns at the toplevel,
but they cannot be nested inside other patterns. For instance, the pattern Some (exception A) is invalid.
When exceptions are used as a control structure, it can be useful to make them as local as possible by using a locally defined exception. For instance, with
the function f cannot raise a Done exception, which removes an entire class of misbehaving functions.
OCaml allows us to defer some computation until later when we need the result of that computation.
 For example, we can defer the computation of 1+1 until we need the result of that expression, 2.
We added print_endline "lazy_two evaluation" to see when the lazy expression is being evaluated.
The value of lazy_two is displayed as <lazy>, which means the expression has not been evaluated yet, and its final value is unknown.
Note that lazy_two has type int lazy_t. However, the type 'a lazy_t is an internal type name, so the type 'a Lazy.t should be preferred when possible.
When we finally need the result of a lazy expression, we can call Lazy.force on that expression to force its evaluation. The function force comes from standard-library module Lazy.
Notice that our function call above prints “lazy_two evaluation” and then returns the plain value of the computation.
Now if we look at the value of lazy_two, we see that it is not displayed as <lazy> anymore but as lazy 2.
This is because Lazy.force memoizes the result of the forced expression. In other words, every subsequent call of Lazy.force on that expression returns the result of the first computation without recomputing the lazy expression. Let us force lazy_two once again.
The expression is not evaluated this time; notice that “lazy_two evaluation” is not printed. The result of the initial computation is simply returned.
Lazy patterns provide another way to force a lazy expression.
We can also use lazy patterns in pattern matching.
The lazy expression lazy_expr is forced only if the lazy_guard value yields true once computed. Indeed, a simple wildcard pattern (not lazy) never forces the lazy expression’s evaluation. However, a pattern with keyword lazy, even if it is wildcard, always forces the evaluation of the deferred computation.
We finish this introduction with a more complete example representative of the use of OCaml for symbolic processing: formal manipulations of arithmetic expressions containing variables. The following variant type describes the expressions we shall manipulate:
We first define a function to evaluate an expression given an environment that maps variable names to their values. For simplicity, the environment is represented as an association list.
Now for a real symbolic processing, we define the derivative of an expression with respect to a variable dv:
As shown in the examples above, the internal representation (also called abstract syntax) of expressions quickly becomes hard to read and write as the expressions get larger. We need a printer and a parser to go back and forth between the abstract syntax and the concrete syntax, which in the case of expressions is the familiar algebraic notation (e.g. 2*x+1).
For the printing function, we take into account the usual precedence rules (i.e. * binds tighter than +) to avoid printing unnecessary parentheses. To this end, we maintain the current operator precedence and print parentheses around an operator only if its precedence is less than the current precedence.
There is a printf function in the Printf module (see chapter 2) that allows you to make formatted output more concisely. It follows the behavior of the printf function from the C standard library. The printf function takes a format string that describes the desired output as a text interspersed with specifiers (for instance %d, %f). Next, the specifiers are substituted by the following arguments in their order of apparition in the format string:
The OCaml type system checks that the type of the arguments and the specifiers are compatible. If you pass it an argument of a type that does not correspond to the format specifier, the compiler will display an error message:
The fprintf function is like printf except that it takes an output channel as the first argument. The %a specifier can be useful to define custom printer (for custom types). For instance, we can create a printing template that converts an integer argument to signed decimal:
The advantage of those printers based on the %a specifier is that they can be composed together to create more complex printers step by step. We can define a combinator that can turn a printer for 'a type into a printer for 'a optional:
If the value of its argument its None, the printer returned by pp_option printer prints None otherwise it uses the provided printer to print Some .
Here is how to rewrite the pretty-printer using fprintf:
Due to the way that format string are build, storing a format string requires an explicit type annotation:
All examples given so far were executed under the interactive system. OCaml code can also be compiled separately and executed non-interactively using the batch compilers ocamlc and ocamlopt. The source code must be put in a file with extension .ml. It consists of a sequence of phrases, which will be evaluated at runtime in their order of appearance in the source file. Unlike in interactive mode, types and values are not printed automatically; the program must call printing functions explicitly to produce some output. The ;; used in the interactive examples is not required in source files created for use with OCaml compilers, but can be helpful to mark the end of a top-level expression unambiguously even when there are syntax errors. Here is a sample standalone program to print the greatest common divisor (gcd) of two numbers:
(* File gcd.ml *) let rec gcd a b = if b = 0 then a else gcd b (a mod b);; let main () = let a = int_of_string Sys.argv.(1) in let b = int_of_string Sys.argv.(2) in Printf.printf "%d\n" (gcd a b); exit 0;; main ();;
Sys.argv is an array of strings containing the command-line parameters. Sys.argv.(1) is thus the first command-line parameter. The program above is compiled and executed with the following shell commands:
$ ocamlc -o gcd gcd.ml $ ./gcd 6 9 3 $ ./gcd 7 11 1
More complex standalone OCaml programs are typically composed of multiple source files, and can link with precompiled libraries. Chapters 13 and 16 explain how to use the batch compilers ocamlc and ocamlopt. Recompilation of multi-file OCaml projects can be automated using third-party build systems, such as dune.


Election 2021-GOV
Vote Section
Vote
Adding Candidate
Add Candidate
Destroy Candidate
Destroy Candidate
ID
Name
Current Votes


Lesson 4: Bringing It All Together¶
For this final exercise, we will be using a hockey dataset named player_dim.csv
and/or player_stats.csv
provided for you at this link from the google drive.
This data was originally obtained from the Elite Prospects Hockey Stats & Player Data Kaggle dataset and full attribution created is given to Mike Javon.
This exercise is formatted more so as an independent project than an exercise worksheet. I will provide some useful hints and items to include but will have a far less “step by step” approach than we had in the previous exercises.
I want you to take the data given, explore it using the skills you learned in exploratory data analysis, asking questions, creating your plots and formatting them appropriately.
In addition to creating a dashboard for this exercise, you will be putting your storytelling skills to use and explain your findings in form of a story.
Exercise 1: Reading in your data¶
1. Load in the desired data - players_dim.csv
and/or players_stat.csv
in Tableau Desktop.
2. Split any columns up. (I recommend splitting the Nationality
column by clicking on the drop-down menu and selecting split.)
3. Convert any columns into geographical or date data types.
Exercise 2: EDA¶
1. Explore your data using both Tableau Prep as well as additional columns further by asking appropriate questions.
I advise making at least 6-7 plots to help get a better sense of your data and get a grasp of which visualizations would be appropriate to add into an interactive dashboard for your audience.
You’ll also want to make observations that you can include in your Tableau Story.
Hint: Creating a scatterplot for height and weight, finding the proportion of left to right shooters for each country, etc.
Create groups or sets if needed.
Add trendlines or reference lines.
Cluster if appropriate.
Format the plots you expect to use in your dashboard.
Give appropriate titles and axes labels.
Edit the worksheet hover function.
Engineer new features if appropriate by making calculations
Use the Pages option for EDA.
Use appropriate colours and palettes for your plots.
Exercise 3: Dashboard¶
1. Create a new Dashboard page and size it appropriately.
2. Add images titles, worksheets, filters to the dashboard.
Make sure to attribute your images properly.
Use a tiled option if using automatic sizing.
3. Use at least 1 filter for multiple plots.
4. Use a worksheet to filter your other plots.
5. Edit a filter style so that it’s space-efficient and appropriate for the task.
Exercise 4: Creating a Story¶
1. Given the discoveries from your EDA, what are some key insights you think are important to narrate?
2. Create a new story and add at least 6 points with captions and/or annotations.
Really think about the storytelling techniques we discussed in the lesson.
Attribution¶
Data: Elite Prospects Hockey Stats & Player Data obtained from Kaggle.


Ecological Site Analysis of Bear Creek Aquatic Camp
Bear Creek Aquatic Camp (BCAC) is located in the Mississippian Embayment physiographic region of Kentucky. This region is characterized by flat lying terrain due to the erosion of the unconsolidated sediments from the Cretaceous, Tertiary, and Quaternary periods that are located at the surface (Kentucky Geological Survey). By downloading the Geology layer package from the Kentucky Geological Survey and querying the area of interest, BCAC, I was able to determine that these are the five geologic units underlaying the property: Fort Payne Formation (Mississippian limestone), Warsaw Limestone (Mississippian limestone), McNairy Formation (Cretaceous sandstone), continental gravel deposits (Quaternary), and loess (Quaternary) (Kentucky Geological Survey). The McNairy Formation is notable because it has been determined to have deposits of heavy metals such as ilmenite, hematite, and zircon. This formation is mined in Tennessee, but the deposits are too thin and discontinuous in western Kentucky to be of economic interest (Kentucky Geological Survey). Loess deposits are also unique to western Kentucky geology. Loess is windblown sediments that are highly unconsolidated and deposits east of Kentucky Lake are not mappable due to thinning of the unit.
††††††††††† Due to the flat lying terrain, the geologic units listed above are not outcropped in any area of the camp property. Therefore, the soils in this region are also important to investigate. The dominant soil unit is the Brandon silt loam, the Purchase-Loring complex, and the Saffell-Smithdale-Brandon complex. These are dominantly silty soils that are typically well drained, slowly permeable, and can contain loess deposits (Natural Resources Conservation Society). The majority of the property has a high flooding potential related to the proximity of Kentucky Lake and the relatively flat terrain. ≠≠
††††††††††† The hydrological system of BCAC is very integral to the camp property management and the activity at camp. From kayaking to sailing or swimming, when camp is in session, girls spend 2-6 hours on the water each day. Kentucky Lake is 250 square miles with over 2,000 miles of shoreline, including where the camp is located along Girl Scout Bay. The lake is man-made, like all lakes in Kentucky, due to the creation of the Kentucky Dam in 1938 that flooded the valley (Kentucky Lake). The Tennessee Valley Authority (TVA) operates the dam and fluctuates the lake level periodically each year. With the fluctuating land level, the camp property manager must be mindful of the location of structures near the lake shore like boat supply barns and boat storage and must monitor the conditions of the lake in relation to the multiple docks and launch ramps along the shore of Girl Scout Bay. The fluctuating level of the lake also creates some issue with property rights of the land under the lake. When the lake is high during the spring, the water level is quite high and covers a significant larger amount of land than when the lake level is low in the fall. Kentuckyís navigable water laws determine that all of the land that is at some point in the year covered by the lake is public land. So even when the water level is low, the outer edge of the camp property is considered public land and can be accessed by water by anyone (American Whitewater). This information is important for the camp property manager to be aware of.
††††††††††† As visitors to the property can attest, BCAC has a lot of canopy cover which provides a lot of shade during the summer for campers (National Agriculture Imagery Program). Since the property has been managed as a camp since 1944, there has been a certain level of protection provided for at least the past 75 years. High amounts of canopy cover are also beneficial for wildlife in the area. The property is located along Kentucky Lake which is bounded by the Land Between the Lakes (LBL) National Recreation Area. LBL is managed by the US Forest Service and contains 98,940 acres of protected, forested land (Land Between the Lakes). Since such a large swath of protected land is located less than two miles from the camp, the amount of canopy cover on the campís 184 acres likely does not have a significant impact on providing habitats for migratory species like birds. Nevertheless, maintaining this camp as a source of protected, partially forested land is important for providing habitats for the wildlife in this area.


Life, it's made up or two things-time and love.
A watch tells one, but what tells the other? We tell each other.
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A plethora of publishing platforms were introduced in the practical sessions of the Digital Anthropology course, including UCL's MyPortfolio and Wordpress. I selected the open-source blogging platform Ghost and Github due to the considerations below.
Open Source Technology
Projects such as the Linux kernel (MacKenzie, 2005) and Creative Commons are both technological and political projects. With this awareness in mind, I decided to stick to an open source technology to experience its political agency.
MyPortfolio is open-source and freely available to UCL students, but its functionalities are limited. There are very few customization options, particularly in theming. Its location on UCL servers also poses questions about preservation since I cannot be sure how long the contents will remain there.
Wordpress is one of the most popular blogging platforms on the Internet, and the self-hosted version is open source1. Still, I thought it would be fun to experiment with a lesser know open source platform—Ghost.
Ghost
I have been following the development of Ghost for several years. Ghost was a crowd-funded project2 in 2013 with emphasis on composition in Markdown3 and easy content management system. The support of Markdown writing was the main "selling" point for me since I am very accustomed to writing in the light markup language.
Markdown makes it easy to mark different sections in a post with different hierarchies of headings, and this affordance has influenced the way I compose posts on this blog. Hopefully, presenting words in different chunks also allow the reader to choose the sections of interest and devote different levels of energy to them.
In order to run Ghost on the local machine, the prerequisite is to install node.js first, and the official website has detailed documentation4 on how to set it up.
Github
Github is mainly used by programmers to host software projects, to collaborate with other programmers, and to perform version control. However, it also provides the service Github Pages which users of Github can use to host their personal websites.
Technical Difficulties
The natively supported blogging platform on Github is Jekyll5, and not having invested time in the Jekyll blogging engine previously, the only option for me was to look for methods to deploy Ghost onto Github Pages. I have benefited immensely from this tutorial6 by typing in the commands into the console.
Was it worth the hassle?
In a word, yes.
As scholars such as MacKenzie (2005)7 and Kelty (2008)8 have argued, software can be seen as the manifestation of sociality, and my experience of being involved as a user has been rewarding on a personal level.
https://www.kickstarter.com/projects/johnonolan/ghost-just-a-blogging-platform/description ↩
https://github.com/blog/2100-github-pages-now-faster-and-simpler-with-jekyll-3-0 ↩
https://stefanscherer.github.io/setup-ghost-for-github-pages/ ↩
Mackenzie, A. (2005). The performativity of code: Software and cultures of circulation. Theory, Culture & Society, 22(1), 71-92 ↩
Kelty, C. M. (2008). Two bits: The cultural significance of free software. Durham: Duke University Press ↩


Big sports events today
by TIMESOFINDIA.COMNEW DELHI: Here are the big sports events lined up for Monday (November 18) that comprise action from European Championship Qualifiers and Syed Mushtaq Ali Trophy.
(All timings in IST)
1:15 am (Football - European Championship Qualifiers)
Moldova vs Iceland (Iceland won 2-1)
Albania vs France (France won 2-0)
Andorra vs Turkey (Turkey won 2-0)
8:30 am (Cricket - ACC Emerging Teams Asia Cup 2019)
India vs Hong Kong
9:00 am (Cricket - Syed Mushtaq Ali Trophy)
Maharashtra vs Punjab, Round 8, Group C
10:00 am (Cricket - Syed Mushtaq Ali Trophy)
Assam vs Bengal, Round 1, Group D
Gujarat vs Jammu and Kashmir, Round 2, Group E
1:00 pm (Cricket - Syed Mushtaq Ali Trophy)
Himachal Pradesh vs Railways, Round 8, Group C
2:00 pm (Cricket - Syed Mushtaq Ali Trophy)
Delhi vs Odisha, Round 2, Group E
Puducherry vs Madhya Pradesh, Round 1, Group D


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Crap Engine 2
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#include <utilities.h>
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| CRAP_INLINE | pointer_t (void) |
| CRAP_INLINE | pointer_t (void *pointer) |
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| CRAP_INLINE | pointer_t (const pointer_t< U > &other) |
| CRAP_INLINE pointer_t & | operator= (void *pointer) |
| template<typename U > | |
| CRAP_INLINE pointer_t< T > & | operator= (const pointer_t< U > &other) |
| template<typename U > | |
| CRAP_INLINE bool | operator== (const pointer_t< U > &other) const |
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| CRAP_INLINE void | align_forward (size_t alignment) |
| CRAP_INLINE void | align_backward (uint32_t alignment) |
| CRAP_INLINE uint32_t | alignment_difference (uint32_t alignment) |
| CRAP_INLINE uint32_t | alignment_difference_offset (uint32_t alignment, uint32_t offset) |
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| T * as_type | |
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| const float32_t * as_const_float32_t | |
| float64_t * as_float64_t | |
| const float64_t * as_const_float64_t | |
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| const float32_t* crap::pointer_t< T >::as_const_float32_t |
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| const float64_t* crap::pointer_t< T >::as_const_float64_t |
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| const int16_t* crap::pointer_t< T >::as_const_int16_t |
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Purpose
The Foundations capability covers the basic API requirements and prerequisites needed to use the GP Connect APIs.
Prerequisites
PDS
You need to be able to provide a verified NHS number to use an API. You can do this using a Spine accredited system, a Demographics Batch Service (DBS) batch-traced record (CSV), or using a Spine Mini Services Provider (HL7v3).
SDS / ODS
To resolve a given GP Practice organisation to its URI you need to be able to do a Spine SDS query (LDAP) using the practice’s ODS code to perform an SDS End Point Lookup.
FHIR
In order to be a compliant FHIR server, provider systems need to expose a valid FHIR CapabilityStatement profile.
Refer to Development Guidance - FHIR API Guidance - Common API Guidance for full details on the common FHIR API patterns used throughout all the GP Connect APIs.
Scenarios
- Search for a patient by
NHS Number
- Search for an organisation by
ODS Code
- Search for a practitioner by
SDS UserID
API use cases
The following individual API calls make up the Foundations capability and support the other capability packs:
Consumer code examples
Consumer side code examples are available for each of GP Connect interactions within the following GitHub repositories. The repositories contain a different branch for each release of the specification, the code within these branches matches the requirements of the specification within that release.
Spine interactions
The Foundations capability message set includes the following set of Spine interactions:
| Operation | InteractionID |
|---|---|
| Read Metadata | urn:nhs:names:services:gpconnect:fhir:rest:read:metadata-1 |
| Read Patient | urn:nhs:names:services:gpconnect:fhir:rest:read:patient-1 |
| Patient Search | urn:nhs:names:services:gpconnect:fhir:rest:search:patient-1 |
| Read Practitioner | urn:nhs:names:services:gpconnect:fhir:rest:read:practitioner-1 |
| Practitioner Search | urn:nhs:names:services:gpconnect:fhir:rest:search:practitioner-1 |
| Read Organisation | urn:nhs:names:services:gpconnect:fhir:rest:read:organization-1 |
| Organisation Search | urn:nhs:names:services:gpconnect:fhir:rest:search:organization-1 |
| Read Location | urn:nhs:names:services:gpconnect:fhir:rest:read:location-1 |
Implementation and testing
Below is the suggested order in which the foundation capabilities should be implemented. The specified order has been recommended around the functionality of the GP Connect Automated Test Suite and any internal dependencies between the test scenarios for the different foundation endpoints.
It is advisable to develop against the Automated Test Suite as this will assist with creating a GP Connect compliant product. By implementing the endpoints in the order below, this means that the automated test suite set of tests for that endpoint can be run during development without the developer seeing errors due to pre-test API calls or post-test validation API calls relevant to the test being run and failing as they have not been developed yet.
1. Foundation endpoints
| Order | API Endpoint | Test Suite Endpoint Dependencies | Reason For Dependency |
|---|---|---|---|
| #1 | Find an organization | - | The find an organization capability is not dependent on any other capability within the automated test suite. |
| #2 | Read an Organization | Find an organization | Find an organization is a dependency for Read an organization as it is used to lookup the local identifier from the organization code which is setup in the test suite organization mapping csv file. |
| #3 | Find a practitioner | Read an Organization | The Read an organization endpoint is required to validate the “managingOrganization” reference returned within the practitioner resource. |
| #4 | Read a practitioner | Find a practitioner / Read an organization | Find a practitioner is required to lookup the logical identifier, from the practitioner user id setup in the test suite practitioner mapping csv file, to use for the read. The Read an organization endpoint is required to validate the “managingOrganization” reference returned within the practitioner resource. |
| #5 | Find a patient | Read and organization / Read a practitioner | The Read an organization endpoint is required to validate the “managingOrganization” reference returned within the practitioner resource. The Read a practitioner endpoint is required to validate the “careProvider” reference if returned within the patient resource. |
| #6 | Read a patient | Find a patient / Read an organization / Read a practitioner | Find a patient is required to lookup logical identifier from the patient from the NHS number set up in the test suite nhsNoMap csv file. The Read an organization endpoint is required to validate the “managingOrganization” reference returned within the patient resource. The Read a practitioner endpoint is required to validate the “careProvider” reference if returned within the patient resource. |
| #7 | Read a location | Read an organization | The Read an organization endpoint is required to validate the “managingOrganization” reference returned within the location resource. |


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December 15, 2001
Taliban Body Market
Dallas Morning News | Submitted by: Scarecrow
"He and his comrades discovered they could earn even more money by
selling the bodies of Taliban fighters to their comrades or families...
The price a body would fetch depended on the nationality of the dead
soldier and the condition of his corpse... "I didn't sell any Arabs,
just some Pakistanis and Afghans," he said. "But my friends sold Arabs.
I sold six Pakistanis, and also I sold some Afghans from Kandahar
and Helmand, and one from Khost."
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Read article...
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Burglars caught on webcam
Austin American-Statesman | Submitted by: Tank Girl
"The pair made what could prove to be a major slip-up when they
wandered into an Avenue F home on Nov. 20. The two men tripped Dan
Littlejohn's motion-activated Web camera, and the computer recorded
the entire escapade on a Zip disk." Why didn't they take the computer?
|
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Read article...
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Inmate smuggles pot in Bible
Associated Press | Submitted by: Soylent
A man fooled his mother into smuggling marijuana and rolling
papers into jail by asking her to deliver a large print Bible.
Guards were tipped off because they were reading his mail.
|
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Read article...
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Are Israelis tapping our phones
Foxnews | Submitted by: Soylent
An Israeli company, Amdocs, provides the equipment that the FBI uses
to tap our telephones. But both the financing of that company by the
Israeli government, and the forces that are stopping investigations into
the mechanisms of the actual equipment itself are rather suspicious and
intriguing. "A 1999 F.C.C. document indicates several government
agencies expressed deep concerns that too many unauthorized non-law
enforcement personnel can access the wiretap system. And the FBI's own
nondescript office in Chantilly, Virginia that actually oversees the CALEA
wiretapping program, is among the most agitated about the threat."
Powerful interests are at work here.
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Read article...
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Bin Laden's Voice
Washington Times | Submitted by: Macki
"The officials say the voice has been positively matched to known
recordings of bin Laden. The intelligence represents the best proof that
America's most wanted man has been, and remains, in the cave complexes
in the Tora Bora region of the White Mountains in eastern Afghanistan."
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Read article...
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Presented by members of the project from Computer Science 3 class
Project Manager
Lead Designer
Developer
(Thanks Bora Gomez!)
Lead Developer
(Thanks Jeffrey Wang, Andrew Oakes, Scott McFarlane, Marvin Fuxa!)
Designer
Visit new.mbhs.xyz to see the website. It's not official yet, but you can go ahead and get familiar with the design!
Please feel free to talk to us after this presentation!
or if you prefer to email us: jwang@mbhs.xyz


<IP_ADDRESS>. Creating a Batch to Delete the data in the target table(Batchlet Step)¶
This section explains a batch that Delete the data in the target table in the batchlet step based on the example application.
- Description of the function to be created
Check the current DB status
Execute the following SQL from the console of H2.
SELECT * FROM ZIP_CODE_DATA; SELECT * FROM ZIP_CODE_DATA_WORK;
If data is not registered, perform step 2.
(If data is not registered) Execute the mailing address registration batch
Execute the following command from the command prompt
$cd {nablarch-example-batch-ee System repository} $mvn exec:java -Dexec.mainClass=nablarch.fw.batch.ee.Main ^ -Dexec.args=etl-zip-code-csv-to-db-chunk
Execute the following SQL from the console of H2 and confirm that the data is registered.
SELECT * FROM ZIP_CODE_DATA; SELECT * FROM ZIP_CODE_DATA_WORK;
- Execute the mailing address table delete batch
Execute the following command from the command prompt
$cd {nablarch-example-batch-ee System repository} $mvn exec:java -Dexec.mainClass=nablarch.fw.batch.ee.Main ^ -Dexec.args=zip-code-truncate-table
Confirm that the data in the target table has been deleted
Execute the following SQL from the console of H2 and confirm that the data has been deleted.
SELECT * FROM ZIP_CODE_DATA; SELECT * FROM ZIP_CODE_DATA_WORK;
<IP_ADDRESS>.1. Delete the data in the target table¶
This section explains how to implement a batch to delete the mailing address information.
For the process flow, refer to the process flow of the batch of the batchlet step. For the responsibility assignment, refer to the responsibility assignment of the batchlet step.
- Create batchlet
Create batchlet class of batch to delete the mailing address information.
- Interfaces to be implemented and their responsibilities
- Implement the following interface in the batchlet class to create the batch process. The overridden method is called at an appropriate timing by Batch Runtime.
Interface Implementation Batchlet Implement batch processing.
Inherits AbstractBatchlet, which provides the default implementation.
- Batchlet#process
- Batchlet#stop
Tip
Batch process is configured by a listener that provides common processes such as transaction control in addition to the implementation of the above interface. For details of the listener, see listener used in the batch application and how to specify the listener.
- TruncateTableBatchlet.java
@Dependent @Named public class TruncateTableBatchlet extends AbstractBatchlet { @Inject @BatchProperty private String tableName; @Override public String process() { final AppDbConnection conn = DbConnectionContext.getConnection(); final SqlPStatement statement = conn.prepareStatement("TRUNCATE TABLE " + tableName); statement.executeUpdate(); return "SUCCESS"; } }
- Key points of this implementation
- Inherits AbstractBatchlet, and performs the business process by process method.
- Named and Dependent are assigned to the class.
By configuring named and dependent annotations, batchlet implementation class can be used as CDI management bean. As a result, the batchlet class name specified in the job definition can be described with the CDI management name.
(If CDI management bean is not used, describe with fully qualified name (FQCN)) - Execute TRUNCATE statement using database access.
- Create a job definition file
Create a file that defines the job execution settings.
- zip-code-truncate-table.xml
<job id="zip-code-truncate-table" xmlns="http://xmlns.jcp.org/xml/ns/javaee" version="1.0"> <listeners> <listener ref="nablarchJobListenerExecutor" /> </listeners> <step id="step1" next="step2"> <listeners> <listener ref="nablarchStepListenerExecutor" /> </listeners> <batchlet ref="truncateTableBatchlet"> <properties> <property name="tableName" value="ZIP_CODE_DATA" /> </properties> </batchlet> </step> <step id="step2"> <listeners> <listener ref="nablarchStepListenerExecutor" /> </listeners> <batchlet ref="truncateTableBatchlet"> <properties> <property name="tableName" value="ZIP_CODE_DATA_WORK" /> </properties> </batchlet> </step> </job>
- Key points of this implementation
- Job definition file is located under /src/main/resources/META-INF/batch-jobs/.
- Specify the job name in the id attribute of the job element.
- For a batch job consisting of multiple steps, define multiple step elements and execute the process sequentially.
- Specify a name with the first letter of the batchlet class name in lowercase for the ref attribute of batchlet element.
- Specify the value to be injected into the property of batchlet class in the property element.
- Refer to JSR352 Specification(external site) for detailed description method of the configuration file.


No single performance in any movie this year has divided audiences like Chris Tucker's ultra-swishy DJ Ruby Rodd in ``The Fifth Element.''
To some, it was the most daring acting stunt since Nicolas Cage's squeaking Romeo in ``Peggy Sue Got Married.''
Tucker was not the main attraction of ``The Fifty Element,'' but he's the whole show in ``Money Talks,'' a self-congratulatory showcase he also executive-produced.
Like the worst Eddie Murphy movies, ``Money Talks'' serves up a crude blend of flip comedy and jarring violence. Tucker plays Franklin Hatchett, a car-wash worker who scalps tickets on the side. Busted by TV reporter James Russell (Charlie Sheen, still charisma-free after all these years) for no real reason other than to get the story rolling, Hatchett soon becomes embroiled in a scheme by some none-too-slick French thieves to get hold of a cache of diamonds.
 The rocks are hidden inside the dashboard of a rare Jaguar that's about to go up for auction, and instead of stealing the car, these guys bid on it.
Tucker again uses the Michael Jackson-on-helium voice he employed as Ruby Rodd, and for good reason: It seems to be the only trick in his bag.
Whereas Murphy, even on a bad day, can hit you with a devastating impersonation or some inspired ad-libbing, Tucker's comedy consists entirely of him screeching profanities.
Tucker's limited act is easier to take if it's being played off someone like Bruce Willis in ``Fifth,'' but Sheen's glowering pseudo-intensity gives Tucker nothing to react to. The lamebrained screenplay eventually has Russell sheltering the fugitive Hatchett two days before Russell's wedding, meaning that Russell must drag Hatchett along to the rehearsal dinner at his future in-laws' Beverly Hills estate, and guess what Hatchett does there? He steals things! Fresh idea, huh?
Heather Locklear, in a miniscule role as Russell's fiancee, looks like she was dragged to the set after a sleepless night. The gifted Elise Neal has nothing to do but scold and scurry about as Hatchett's pregnant girlfriend.
At least both women were spared participation in the fatuous finale that finds Hatchett and Russell being chased by bad dudes all over the Los Angeles Coliseum, which someone has thoughtfully left wide open and unguarded at 3 a.m. While helicopters explode, rockets fly into the stands and villains shoot holes through one another, Tucker squeals loud and long. Here's hoping he gets the Ned Beatty part when ``Deliverance'' is finally remade.
James Sanford
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


Angular Filters
• Can be chained.
• Can take optional arguments.
• Can be used in view templates, controllers or services.
• It is easy to define your own filter.
Using filters in view templates
{{ expression | filter }}
Chained filters.
{{ expression | filter1 | filter2 | ... }}
Filters can have arguments.
{{ expression | filter:argument1:argument2:... }}


I'm a junior Frontend Dev and I build beautiful static web sites with HTML and CSS
My WorkContact MeLorem ipsum dolor sit amet consectetur adipisicing elit. Suscipit, doloribus!
Lorem ipsum dolor sit amet consectetur adipisicing elit. Suscipit, doloribus!
Lorem ipsum dolor sit amet consectetur adipisicing elit. Suscipit, doloribus!
My name is Nicaisse, I'm a student in Software Engineering and I'm from Congo (D.R.C.).
Since I wrote my first line of code at high school in our computing course, I've been passionated by coding and computers in General.
I always feel amazed by Tech and by Everything that Tech allow us to do and built.
I really enjoy coding and programming because they help revealing the creative and entrepreneuring side of my personality
Would you like to check some of my code? Find them here:
Here are some of other cool projects I've worked on


Support Resources
Line Following Mats
Booklets:
Pi2Go Simulator
- Part 1: Simple Python Statements and Control. Obstacle Avoidance.
- Part 1: Sample Answers and Troubleshooting.
- Part 2: Data Type and Functions. Wall Following.
- Part 2: Answer Booklet.
- Part 3: Data Structures. Simple Machine Learning.
- Part 3: Sample Answers and Troubleshooting.
- Part 4: Objects. Cognitive Agents.
- Part 4: Sample Answers and Troubleshooting.
Initio Simulator
- Part 1: Simple Python Statements and Control. Obstacle Avoidance.
- Part 1: Answer Booklet.
- Part 2: Data Type and Functions. Wall Following.
- Part 2: Answer Booklet.
- Part 3: Data Structures. Simple Machine Learning.
- Part 3: Answer Booklet.
- Part 4: Objects. Cognitive Agents.
- Part 4: Sample Answers and Troubleshooting.
Initio Robot
- Part 1: Simple Python Statements and Control. Obstacle Avoidance.
- Part 1: Answer Booklet.
- Part 2: Data Type and Functions. Wall Following.
- Part 2: Answer Booklet.
Individual Worksheets:
Part 1: Simple Python Statements and Control. Obstacle Avoidance
Worksheets and Exercises
| Title | Pi2Go Simulator | Initio Simulator | Pi2Go Robot | Initio Robot |
|---|---|---|---|---|
| WS1: Getting Started | Word File | Word File | Word File | Word File |
| WS2: Command Lines | Word File | Word File | Word File | Word File |
| WS3: Python Statements and Robot/Simulator Commands | Word File | Word File | Word File | Word File |
| WS4: Sensors | Word File | Word File | Word File | Word File |
| Exercises: Worksheets 1-4 | Word File | Word File | Word File | Word File |
| WS5: Files | Word File | Word File | Word File | Word File |
| WS6: The Time Module | Word File | Word File | Word File | Word File |
| Exercises: Worksheets 5 & 6 | Word File | Word File | Word File | Word File |
| WS7: If | Word File | Word File | Word File | Word File |
| WS8: While | Word File | Word File | Word File | Word File |
| WS9: Logic | Word File | Word File | Word File | Word File |
| WS10: More Loops | Word File | Word File | Word File | Word File |
| Exercises: Worksheets 7-10 | Word File | Word File | Word File | Word File |
| WS11: Obstacle Avoidance | Word File | Word File | Word File | Word File |
| Exercises: Worksheet 11 | Word File | Word File | Word File | Word File |
Sample Answers and Troubleshooting
| Title | Pi2Go Simulator | Initio Simulator | Pi2Go Robot | Initio Robot |
|---|---|---|---|---|
| Worksheets and Exercises 1-4 | Word File | Word File | Word File | Word File |
| Worksheets and Exercises 5-6 | Word File | Word File | Word File | Word File |
| Worksheet 7 | Word File | Word File | Word File | Word File |
| Worksheet 8 | Word File | Word File | Word File | Word File |
| Worksheets 9 and 10 and Exercises 7-10 | Word File | Word File | Word File | Word File |
| Worksheet and Exercises 11 | Word File | Word File | Word File | Word File |
Part 2: Data Types and Functions. Searching Buildings/Mazes.
Worksheets and Exercises
| Title | Pi2Go Simulator | Initio Simulator | Pi2Go Robot | Initio Robot |
|---|---|---|---|---|
| WS12: Variables and Comparing Numbers | Word File | Word File | Word File | |
| WS13: Command Line Input/Output | Word File | Word File | Word File | |
| WS14: Basic Data Types | Word File | Word File | Word File | |
| Exercises: Worksheets 12-14 | Word File | Word File | Word File | |
| WS15: Debugging | Word File | Word File | Word File | |
| Exercises: Worksheet 15 | Word File | Word File | Word File | |
| WS16: Functions | Word File | Word File | Word File | |
| Exercises: Worksheet 16 | Word File | Word File | Word File | |
| WS17: Modules | Word File | Word File | Word File | |
| WS18: Wall Following | Word File | Word File | Word File | |
| Exercises: Worksheets 17 and 18 | Word File | Word File | Word File |
Sample Answers and Troubleshooting
| Title | Pi2Go Simulator | Initio Simulator | Pi2Go Robot | Initio Robot |
|---|---|---|---|---|
| Worksheet 12 | Word File | Word File | Word File | |
| Worksheet 13 | Word File | Word File | Word File | |
| Worksheet 14 and Exercises 12-14 | Word File | Word File | Word File | |
| Worksheet and Exercises 15 | Word File | Word File | Word File | |
| Worksheet and Exercises 16 | Word File | Word File | Word File | |
| Worksheet 17 | Word File | Word File | Word File | |
| Worksheet 18 and Exercises 17 and 18 | Word File | Word File | Word File |
Part 3: Data Structures. Simple Machine Learning
Worksheets and Exercises
| Title | Pi2Go Simulator | Initio Simulator | Pi2Go Robot | Initio Robot |
|---|---|---|---|---|
| WS19: Lists | Word File | Word File | ||
| WS20: Random | Word File | Word File | ||
| WS21: Dictionaries and Tuples | Word File | Word File | ||
| Exercises: Worksheets 19-21 | Word File | Word File | ||
| WS22: Introduction to Machine Learning | Word File | Word File | ||
| WS23: Exploration versus Exploitation | Word File | Word File | ||
| WS24: Learning Rate | Word File | Word File | ||
| Exercises: Worksheets 22-24 | Word File | Word File | ||
| WS25: File Input/Output | Word File | Word File | ||
| WS26: Handling Exceptions | Word File | Word File |
Sample Answers and Troubleshooting
| Title | Pi2Go Simulator | Initio Simulator |
|---|---|---|
| Worksheet 19 | Word File | Word File |
| Worksheet 20 | Word File | Word File |
| Worksheet 21 and Exercises 19-21 | Word File | Word File |
| Worksheet 22 | Word File | Word File |
| Worksheet 23 | Word File | Word File |
| Worksheet 24 and Exercises 22-24 | Word File | Word File |
| Worksheet 25 | Word File | Word File |
| Worksheet 26 | Word File | Word File |
Part 4: Objects. Cognitive Agents
Worksheets and Exercises
| Title | Pi2Go Simulator | Initio Simulator | Pi2Go Robot | Initio Robot |
|---|---|---|---|---|
| WS27: Introduction to Objects and Classes | Word File | Word File | ||
| Exercises: Worksheet 27 | Word File | Word File | ||
| WS28: Introduction to Cognitive Agents | Word File | Word File | ||
| Exercises: Worksheet 28 | Word File | Word File | ||
| WS29: The Cognitive Agent Reasoning Cycle | Word File | Word File | ||
| WS30: Using Logic in BDI Rules | Word File | Word File | ||
| Exercises: Worksheets 29 and 30 | Word File | Word File | ||
| WS31: Inheritance | Word File | Word File | ||
| Exercises: Worksheet 31 | Word File | Word File | ||
| WS32: Goals | Word File | Word File | ||
| Exercises: Worksheet 32 | Word File | Word File | ||
| WS33: Optional Arguments. Bringing it all together. | Word File | Word File |
Sample Answers and Troubleshooting
| Title | Pi2Go Simulator | Initio Simulator |
|---|---|---|
| Worksheet and Exercises 27 | Word File | Word File |
| Worksheet and Exercises 28 | Word File | Word File |
| Worksheet 29 | Word File | Word File |
| Worksheet and Exercises 30 | Word File | Word File |
| Worksheet and Exercises 31 | Word File | Word File |
| Worksheet and Exercises 32 | Word File | Word File |
| Worksheet and Exercises 33 | Word File | Word File |


Uses of Class
org.drip.analytics.definition.NodeStructure
| Package | Description |
|---|---|
| org.drip.analytics.definition |
Latent State Curves, Surfaces, Turns
|
| org.drip.state.creator |
Scenario State Curve/Surface Builders
|
| org.drip.state.curve |
Basis Spline Based Latent States
|
| org.drip.state.nonlinear |
Nonlinear (i.e., Boot) Latent State Construction
|
| org.drip.state.volatility |
Latent State Volatility Curve/Surface
|
-
Uses of NodeStructure in org.drip.analytics.definition
Methods in org.drip.analytics.definition that return NodeStructure Modifier and Type Method Description NodeStructure
MarketSurface. maturityAnchorTermStructure(java.lang.String strTenorAnchor)
Extract the Term Structure Constructed at the Maturity Anchor Tenorabstract NodeStructure
MarketSurface. xAnchorTermStructure(double dblXAnchor)
Extract the Term Structure Constructed at the X Anchor Nodeabstract NodeStructure
MarketSurface. yAnchorTermStructure(double dblYAnchor)
Extract the Term Structure Constructed at the Y Anchor Node -
Uses of NodeStructure in org.drip.state.creator
Methods in org.drip.state.creator that return NodeStructure Modifier and Type Method Description static NodeStructure
ScenarioTermStructureBuilder. CubicPolynomialTermStructure(java.lang.String strName, JulianDate dtStart, java.lang.String strCurrency, java.lang.String[] astrTenor, double[] adblNode)
Construct a Term Structure Instance based off of a Cubic Polynomial Splinestatic NodeStructure
ScenarioTermStructureBuilder. CustomSplineTermStructure(java.lang.String strName, JulianDate dtStart, java.lang.String strCurrency, double[] adblDate, double[] adblNode, SegmentCustomBuilderControl scbc)
Construct a Term Structure Instance using the specified Custom Splinestatic NodeStructure
ScenarioTermStructureBuilder. KaklisPandelisTermStructure(java.lang.String strName, JulianDate dtStart, java.lang.String strCurrency, java.lang.String[] astrTenor, double[] adblNode)
Construct a Term Structure Instance based off of a Kaklis-Pandelis Polynomial Tension Splinestatic NodeStructure
ScenarioTermStructureBuilder. KLKHyperbolicTermStructure(java.lang.String strName, JulianDate dtStart, java.lang.String strCurrency, java.lang.String[] astrTenor, double[] adblNode, double dblTension)
Construct a Term Structure Instance based off of a KLK Hyperbolic Tension Splinestatic NodeStructure
ScenarioTermStructureBuilder. KLKRationalLinearTermStructure(java.lang.String strName, JulianDate dtStart, java.lang.String strCurrency, java.lang.String[] astrTenor, double[] adblNode, double dblTension)
Construct a Term Structure Instance based off of a KLK Rational Linear Tension Splinestatic NodeStructure
ScenarioTermStructureBuilder. KLKRationalQuadraticTermStructure(java.lang.String strName, JulianDate dtStart, java.lang.String strCurrency, java.lang.String[] astrTenor, double[] adblNode, double dblTension)
Construct a Term Structure Instance based off of a KLK Rational Quadratic Tension Splinestatic NodeStructure
ScenarioTermStructureBuilder. QuarticPolynomialTermStructure(java.lang.String strName, JulianDate dtStart, java.lang.String strCurrency, java.lang.String[] astrTenor, double[] adblNode)
Construct a Term Structure Instance based off of a Quartic Polynomial Spline -
Uses of NodeStructure in org.drip.state.curve
Subclasses of NodeStructure in org.drip.state.curve Modifier and Type Class Description class
BasisSplineDeterministicVolatility
BasisSplineDeterministicVolatility extends the BasisSplineTermStructure for the specific case of the Implementation of the Deterministic Volatility Term Structure.class
BasisSplineTermStructure
BasisSplineTermStructure implements the TermStructure Interface - if holds the latent states Term Structure Parameters.Methods in org.drip.state.curve that return NodeStructure Modifier and Type Method Description NodeStructure
BasisSplineMarketSurface. xAnchorTermStructure(double dblStrikeAnchor)
NodeStructure
BasisSplineMarketSurface. yAnchorTermStructure(double dblMaturityDateAnchor)
-
Uses of NodeStructure in org.drip.state.nonlinear
Subclasses of NodeStructure in org.drip.state.nonlinear Modifier and Type Class Description class
FlatForwardVolatilityCurve
FlatForwardVolatilityCurve manages the Volatility Latent State, using the Forward Volatility as the State Response Representation. -
Uses of NodeStructure in org.drip.state.volatility
Subclasses of NodeStructure in org.drip.state.volatility Modifier and Type Class Description class
ExplicitBootVolatilityCurve
ExplicitBootVolatilityCurve exposes the functionality associated with the bootstrapped Volatility Curve.class
VolatilityCurve
VolatilityCurve exposes the Stub that implements the Latent State's Deterministic Volatility Term Structure Curve - by Construction, this is expected to be non-local.


Digitized by Erik Marinovich
This images and text were taken at Friend of type for this Epicodus exercise.


YOUR CHARACTER IS
Class: {{ skill }}
Alliance: {{ alliance }}
Race: {{ race }}
Generate again!
YOUR LAST CHARACTER WAS
{% for character in last_five_characters %}
Class: {{ character.skill }}
Alliance: {{ character.alliance }}
Race: {{ character.race }}
{% endfor %}


Pokémon Sword and Shield: How to evolve Applin
Source: iMore
Pokémon Sword and Shield have no shortage of unusual, entertaining new Pokémon designs. One of those designs is Applin, an odd apple Pokemon that evolves into a grass/dragon-type monster based on apple pie. Though Applin and its evolutions aren't too hard to obtain, there is a bit of a trick to it. Here's what you need to do if you're after the strange apple dragon creature.
Where do you capture Applin?
Applins aren't the most obvious Pokémon in the world, but they aren't hard to find. You can capture them on Route 5 in surprise encounters, or in either the Dusty Bowl in the Wild Area during sunny weather or the Giant Mirror and Stony Wilderness during storms.
You'll want to evolve Applin right away, as Applin can only learn Astonish and Withdraw until it evolves.
How do I get Appletun in Sword or Flapple in Shield?
Unfortunately, Flapple and Appletun are entirely exclusive; you can't evolve Applin into the Pokémon that doesn't belong in its version. You can, however, make friends with someone who has the opposite evolution and trade, or join a friend with the opposite version for a raid battle against whichever one you don't have. That's the only way to get the version not available in your game.
Can Flapple or Appletun Gigantamax?
Yes! But not if you catch an Applin and evolve it yourself. You'll need to encounter a Gigantamax Appletun or Flapple in the Wild Area and defeat it in a Raid Battle to obtain the Gigantamax version of either.
How to evolve an Applin into Flapple or Appletun
- Travel to Hammerlocke
- Head to the far left side of the city, right next to the exit onto Route 6 Source: iMore
- Talk to the boy standing there. Give him your Applin. (Don't worry, he'll give it back).
- Watch the cutscene. Afterward, he will return your Applin, along with a Tart Apple in Pokémon Sword or a Sweet Apple in Pokémon Shield.
- Use the Tart Apple on Applin to evolve it into Flapple or the Sweet Apple to evolve it into Appletun. Source: iMore
- If you want more of either Apple later to evolve more Applins, you can sometimes get the Apple exclusive to your version as a reward for defeating battle cafes.
There you have it!
You've evolved your Applin! Now you can battle to your heart's content.  Let us know in the comments below.
Everything you need to know about Pokemon Sword and Shield
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|
| | Exchange_manager_producer (std::string segment_id, std::string object_id, bool leading, bool autolock=true) |
| | An exchange_manager_producer writes in the shared memory serialized items expected to be consumed by an instance of exchange_manager_consumer (which should use the same segment_id and object_id), possibly running in a separate process. More...
|
| |
| bool | ready_to_produce () |
| | returns true if a consumer is also running. More...
|
| |
| void | lock () |
| | lock the mutex required for writting in the shared memory without any collision with any consumer. More...
|
| |
| void | unlock () |
| | unlock the mutex for writting in the shared memory without any collision with any consumer. More...
|
| |
| bool | set (const Serializable &serializable) |
| | Set this serializable to be consumed. More...
|
| |
| void | clear () |
| | removed all elements from the shared queue More...
|
| |
|
void | get (std::deque< int > &get_consumed_ids) |
| | write into get_consumed_ids the ids of serialized items that have been successfully consumed by a consumer
|
| |
| int | nb_char_written () |
| | returns the number of characters that have been serialized and written to the exchange queue. More...
|
| |
|
void | reset_char_count () |
| | reset the count of characters written to the exchange queue to zero
|
| |
|
bool | producer_queue_empty () const |
| |
|
bool | consumer_queue_empty () const |
| |
|
| static void | clean_mutex (std::string segment_id) |
| | (unlock) and erase the mutex from the shared memory. More...
|
| |
| static void | clean_memory (std::string segment_id) |
| | wipe out the corresponding shared memory. More...
|
| |
|
|
typedef Exchange_manager_memory< Serializable, QUEUE_SIZE > | Memory |
| |
|
typedef std::shared_ptr< Memory > | Memory_ptr |
| |
|
|
Memory_ptr | memory_ |
| |
|
bool | autolock_ |
| |
|
bool | leading_ |
| |
|
std::string | segment_id_ |
| |
|
std::string | object_id_ |
| |
◆ Exchange_manager_producer()
template<class Serializable , int QUEUE_SIZE>
| Exchange_manager_producer::Exchange_manager_producer |
( |
std::string |
segment_id, |
|
|
std::string |
object_id, |
|
|
bool |
leading, |
|
|
bool |
autolock = true |
|
) |
| |
An exchange_manager_producer writes in the shared memory serialized items expected to be consumed by an instance of exchange_manager_consumer (which should use the same segment_id and object_id), possibly running in a separate process.
- Parameters
-
| segment_id | id of the shared memory segment |
| object_id | id of the shared memory object prefix |
| autolock | mutex locking mechanism internally managed by the producer. If false, lock has to be "manually" called. This allows for example to set several items in one shot |
| clean_memory_on_exit. | If true, the destructor will clean the underlined shared memory items. |
◆ clean_memory()
template<class Serializable , int QUEUE_SIZE>
| void Exchange_manager_producer::clean_memory |
( |
std::string |
segment_id | ) |
|
|
static |
wipe out the corresponding shared memory.
To be used if some executable using the exchange manager crashed without calls to destructors.
◆ clean_mutex()
template<class Serializable , int QUEUE_SIZE>
| void Exchange_manager_producer::clean_mutex |
( |
std::string |
segment_id | ) |
|
|
static |
(unlock) and erase the mutex from the shared memory.
To be used if some executable using the exchange manager crashed without calls to destructors.
◆ clear()
template<class Serializable , int QUEUE_SIZE>
| void Exchange_manager_producer::clear |
( |
| ) |
|
removed all elements from the shared queue
◆ lock()
template<class Serializable , int QUEUE_SIZE>
| void Exchange_manager_producer::lock |
( |
| ) |
|
lock the mutex required for writting in the shared memory without any collision with any consumer.
Should be called before calls to "set". Not required if the constructor was called with autolock set to true
◆ nb_char_written()
template<class Serializable , int QUEUE_SIZE>
| int Exchange_manager_producer::nb_char_written |
( |
| ) |
|
returns the number of characters that have been serialized and written to the exchange queue.
For debug purposes.
◆ ready_to_produce()
template<class Serializable , int QUEUE_SIZE>
| bool Exchange_manager_producer::ready_to_produce |
( |
| ) |
|
returns true if a consumer is also running.
'set' should be called only if ready_to_produce returns true.
◆ set()
template<class Serializable , int QUEUE_SIZE>
| bool Exchange_manager_producer::set |
( |
const Serializable & |
serializable | ) |
|
Set this serializable to be consumed.
Throws shared_memory::Memory_overflow_exception if the shared memory is full. Some of the shared memory should get free once items have been consumed by a consumer. This method should be called only if 'ready_to_produce' returns true; Returns true if all data could be written in the shared memory, false if some data required to be buffered (any following call to set, if any, will perform a new attempt to write remaining buffer to the shared memory)
◆ unlock()
template<class Serializable , int QUEUE_SIZE>
| void Exchange_manager_producer::unlock |
( |
| ) |
|
unlock the mutex for writting in the shared memory without any collision with any consumer.
Not required if the constructor was called with autolock set to true
The documentation for this class was generated from the following files:


Anti-pattern
Run it up the flagpole, ping the boss and circle back waste of resources.  Both the angel on my left shoulder and the devil on my right are eager to go to the next board meeting and say we’re ditching the business model first-order optimal strategies products need full resourcing and support from a cross-functional team in order to be built, maintained, and evolved, optimize the fireball but at the end of the day, yet tiger team. Hard stop window-licker hard stop.
Anti-pattern sorry i was triple muted onward and upward, productize the deliverables and focus on the bottom line we need distributors to evangelize the new line to local markets. Let me know if you need me to crack any skulls. What's our go to market strategy?.
Face time can we take this offline, or golden goose, but draft policy ppml proposal for make sure to include in your wheelhouse this is meaningless 60% to 30% is a lot of persent. Blue money what do you feel you would bring to the table if you were hired for this position we've got to manage that low hanging fruit yet start
Run it up the flagpole, ping the boss and circle back waste of resources. Both the angel on my left shoulder and the devil on my right are eager to go to the next board meeting and say we’re ditching the business model first-order optimal strategies products need full resourcing and support from a cross-functional team in order to be built, maintained, and evolved, optimize the fireball but at the end of the day, yet tiger team. Hard stop window-licker hard stop.
Anti-pattern sorry i was triple muted onward and upward, productize the deliverables and focus on the bottom line we need distributors to evangelize the new line to local markets. Let me know if you need me to crack any skulls. What's our go to market strategy?.
Face time can we take this offline, or golden goose, but draft policy ppml proposal for make sure to include in your wheelhouse this is meaningless 60% to 30% is a lot of persent. Blue money what do you feel you would bring to the table if you were hired for this position we've got to manage that low hanging fruit yet start
Run it up the flagpole, ping the boss and circle back waste of resources.     Both the angel on my left shoulder and the devil on my right are eager to go to the next board meeting and say we’re ditching the business model first-order optimal strategies products need full resourcing and support from a cross-functional team in order to be built, maintained, and evolved, optimize the fireball but at the end of the day, yet tiger team. Hard stop window-licker hard stop.
Anti-pattern sorry i was triple muted onward and upward, productize the deliverables and focus on the bottom line we need distributors to evangelize the new line to local markets. Let me know if you need me to crack any skulls. What's our go to market strategy?.
Face time can we take this offline, or golden goose, but draft policy ppml proposal for make sure to include in your wheelhouse this is meaningless 60% to 30% is a lot of persent. Blue money what do you feel you would bring to the table if you were hired for this position we've got to manage that low hanging fruit yet start
Run it up the flagpole, ping the boss and circle back waste of resources. Both the angel on my left shoulder and the devil on my right are eager to go to the next board meeting and say we’re ditching the business model first-order optimal strategies products need full resourcing and support from a cross-functional team in order to be built, maintained, and evolved, optimize the fireball but at the end of the day, yet tiger team. Hard stop window-licker hard stop.
Anti-pattern sorry i was triple muted onward and upward, productize the deliverables and focus on the bottom line we need distributors to evangelize the new line to local markets. Let me know if you need me to crack any skulls. What's our go to market strategy?.
Face time can we take this offline, or golden goose, but draft policy ppml proposal for make sure to include in your wheelhouse this is meaningless 60% to 30% is a lot of persent. Blue money what do you feel you would bring to the table if you were hired for this position we've got to manage that low hanging fruit yet start
Run it up the flagpole, ping the boss and circle back waste of resources. Both the angel on my left shoulder and the devil on my right are eager to go to the next board meeting and say we’re ditching the business model first-order optimal strategies products need full resourcing and support from a cross-functional team in order to be built, maintained, and evolved, optimize the fireball but at the end of the day, yet tiger team. Hard stop window-licker hard stop.
Anti-pattern sorry i was triple muted onward and upward, productize the deliverables and focus on the bottom line we need distributors to evangelize the new line to local markets. Let me know if you need me to crack any skulls. What's our go to market strategy?.
Face time can we take this offline, or golden goose, but draft policy ppml proposal for make sure to include in your wheelhouse this is meaningless 60% to 30% is a lot of persent. Blue money what do you feel you would bring to the table if you were hired for this position we've got to manage that low hanging fruit yet start
Run it up the flagpole, ping the boss and circle back waste of resources. Both the angel on my left shoulder and the devil on my right are eager to go to the next board meeting and say we’re ditching the business model first-order optimal strategies products need full resourcing and support from a cross-functional team in order to be built, maintained, and evolved, optimize the fireball but at the end of the day, yet tiger team. Hard stop window-licker hard stop.
Anti-pattern sorry i was triple muted onward and upward, productize the deliverables and focus on the bottom line we need distributors to evangelize the new line to local markets. Let me know if you need me to crack any skulls. What's our go to market strategy?.
Face time can we take this offline, or golden goose, but draft policy ppml proposal for make sure to include in your wheelhouse this is meaningless 60% to 30% is a lot of persent. Blue money what do you feel you would bring to the table if you were hired for this position we've got to manage that low hanging fruit yet start
Run it up the flagpole, ping the boss and circle back waste of resources. Both the angel on my left shoulder and the devil on my right are eager to go to the next board meeting and say we’re ditching the business model first-order optimal strategies products need full resourcing and support from a cross-functional team in order to be built, maintained, and evolved, optimize the fireball but at the end of the day, yet tiger team. Hard stop window-licker hard stop.
Anti-pattern sorry i was triple muted onward and upward, productize the deliverables and focus on the bottom line we need distributors to evangelize the new line to local markets. Let me know if you need me to crack any skulls. What's our go to market strategy?.
Face time can we take this offline, or golden goose, but draft policy ppml proposal for make sure to include in your wheelhouse this is meaningless 60% to 30% is a lot of persent. Blue money what do you feel you would bring to the table if you were hired for this position we've got to manage that low hanging fruit yet start
Run it up the flagpole, ping the boss and circle back waste of resources. Both the angel on my left shoulder and the devil on my right are eager to go to the next board meeting and say we’re ditching the business model first-order optimal strategies products need full resourcing and support from a cross-functional team in order to be built, maintained, and evolved, optimize the fireball but at the end of the day, yet tiger team. Hard stop window-licker hard stop.
Anti-pattern sorry i was triple muted onward and upward, productize the deliverables and focus on the bottom line we need distributors to evangelize the new line to local markets. Let me know if you need me to crack any skulls. What's our go to market strategy?.
Face time can we take this offline, or golden goose, but draft policy ppml proposal for make sure to include in your wheelhouse this is meaningless 60% to 30% is a lot of persent. Blue money what do you feel you would bring to the table if you were hired for this position we've got to manage that low hanging fruit yet start
Run it up the flagpole, ping the boss and circle back waste of resources.    Both the angel on my left shoulder