--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/Backtick.20anguish.html ---
What am I doing wrong here?
meta def my_tactic (q : Prop) : tactic unit := do define `qq `(q)
failed to synthesize type class instance for q : Prop, my_tactic : tactic unit ⊢ reflected q
Alternatively:
open tactic def my_lemma (q : Prop) : q := begin define_core `qq `(q), sorry end
unknown identifier 'q'
`(q)
is used to build expr
values but its type is actually reflected q
. This is a long way of saying that Lean is trying to convert a known value into an expression. Because q
is a local variable, its value is not know and cannot be reflected. You need to go through to_expr ``(q)
I want to pass the local_const
with the pretty name "q"
as the type arg to define_core
Your code could be adapted into the following:
open tactic def my_lemma (q : Prop) : q := begin (do my_q <- to_expr ``(q), define_core `qq my_q), sorry end
or, more concisely:
open tactic def my_lemma (q : Prop) : q := begin (to_expr ``(q) >>= define_core `qq), sorry end
This code still errors for me
unknown identifier 'q'
invalid define tactic, expression is not a type ⁇ state: 2 goals q : Prop ⊢ q q : Prop ⊢ Sort ?
Oh! I see why. Use (to_expr ```(q) >>= define_core `qq)
: q
is not available in the scope of your tactic code. With three ticks, you're disabling scope checking when compiling that tactic. Equivalently, you can do (get_local `q >>= define_core `qq)
.
Last updated: Apr 24 2020 at 19:02 UTC


WeWork faces U.S. SEC inquiry over possible rule violations: Bloomberg
by Reuters(Reuters) - WeWork is facing scrutiny from the U.S. Securities and Exchange Commission (SEC) over whether it violated financial rules in the run-up to its abandoned initial public offering, Bloomberg reported on Friday, citing two people with knowledge of the matter.
The SEC's inquiry is preliminary and may not lead to any allegations of wrongdoing, Bloomberg reported, adding that it could not determine whether specific WeWork business decisions or transactions prompted the review.
WeWork shelved its IPO in September after investors grew wary of its losses, business model and corporate governance that had forced former Chief Executive Officer and co-founder Adam Neumann to resign.
Neumann and other WeWork officials are also being sued by minority shareholders who accuse the company's board of directors of breaching its fiduciary duties.
Masayoshi Son, chairman of SoftBank Group (T:9984) which took control of WeWork last month, is also one of the defendants in the case.
The regulator's enforcement division is reviewing WeWork's business and its disclosures to investors after media reports showed conflicts of interest and the company's fundraising, according to the report.
WeWork has retained top Wall Street lawyer Andrew Ceresney, who previously headed the SEC enforcement unit, Bloomberg reported.
WeWork and the SEC declined to comment.
Earlier this week, The We Company, which owns WeWork, said net losses in the third quarter more than doubled to $1.25 billion.


Before Change
Uses [Caching](/polyaxon_cli/introduction//Caching)
user, project_name = ctx.obj["user"], ctx.obj["project_name"]
try:
response = PolyaxonClients().project.start_tensorboard(user, project_name)
except (PolyaxonHTTPError, PolyaxonShouldExitError) as e:
Printer.print_error("Could not start tensorboard project `{}`.".format(project))
After Change
Uses [Caching](/polyaxon_cli/introduction//Caching)
user, project_name = get_project_or_local(ctx.obj["project"])
try:
response = PolyaxonClients().project.start_tensorboard(user, project_name)
except (PolyaxonHTTPError, PolyaxonShouldExitError) as e:
Printer.print_error("Could not start tensorboard project `{}`.".format(project))


public final class DriverParallel
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private static int[][][] |
colorvals
The actual color values when converted from the raw values - its values are between [0, 255].
|
private static int |
counter
Used for showing how much work is left.
|
private static ExpressionGeneratorParallel[] |
e
An array of expression generators in order to create expressions to represent the color values for the picture.
|
private static int |
hr
A value used to print out a formatted time.
|
private static int |
milli
A value used to print out a formatted time.
|
private static int |
min
A value used to print out a formatted time.
|
private static boolean |
notFinished
Used to tell when the program is fully finished.
|
private static long |
now
A value used to help determine how long the program has been running.
|
private static double[][][] |
raw
The raw values generated by the expressions - its values are between [-1.0, 1.0].
|
private static int |
sec
A value used to print out a formatted time.
|
private static long |
start
A value used to help determine how long the program has been running.
|
| Constructor and Description |
|---|
DriverParallel() |
| Modifier and Type | Method and Description |
|---|---|
private static java.lang.String |
getColor(int matrixNum,
boolean grayscale)
A method that states which portion of the image is currently being worked on for use in "debugging" output.
|
private static void |
increaseCounter()
Increments the counter value to tell when a thread has finished its assigned work.
|
static void |
main(java.lang.String[] args)
Creates an image based off of randomly generated mathematical statements.
|
private static void |
setTime(long timeDifference)
Based on the time difference between the start time of the program and the current time of the program, values are assigned so as to properly display the time.
|
private static ExpressionGeneratorParallel[] e
private static double[][][] raw
private static int[][][] colorvals
private static volatile int counter
private static long start
private static long now
private static int milli
private static int sec
private static int min
private static int hr
private static boolean notFinished
private static void increaseCounter()
private static void setTime(long timeDifference)
timeDifference
- A long consisting of the time difference between current time and the start time of the program. It should not be less than 0.private static java.lang.String getColor(int matrixNum, boolean grayscale)
matrixNum
- A number that states which matrix is currently being worked on, since each matrix represents a color, it can be used to determine what is being worked on.grayscale
- A boolean stating if the grayscale flag is on.public static void main(java.lang.String[] args)
args
- "-d 'int'": Changes the depth. "-w 'int'": Changes the width of the image. "-h 'int'": Changes the height of the image. "-l 'String'": Changes the location where the
image is saved (make sure that the directory ends with a /). "-n 'String'": Changes the name of the image (make sure that the name starts with a /). "-c": Makes a color
image as opposed to a grayscale one. "-v": Prints out a lot of debugging statements, particularly ones that determine the percentage of the work completed and the total
time that the application has been running.


title = "Blank Theme Home Page" url = "/" layout = "default" is_hidden = 0 == {# Start with a col - This partial is rendered inside a grid element #}
Home page content


The first generation of database-centered applications -- maintaining an organization's operating data -- demanded database management systems tuned to handle large numbers of small, update-oriented transactions. The first generation of true database management technology -- relational data base systems -- was well matched to that class of problem. The normal forms of the relational model taught many good lessons in data analysis and structuring, the large amounts of simple data fit well into the tabular representation of relational data base management, and for the most part, the relatively simple data in these applications could be effectively queried using standard SQL query languages.
As the complexity of database-centered applications grows, a new set of database system requirements is emerging. The new generation of database-centered applications no longer focuses on operational data and transaction processing. Instead, it focuses on:
This custom-programming strategy has significant costs in terms of both performance and productivity. These costs are compounded by the fact that many of these applications have a natural representation in the new technology of object-orientation. All of these factors have led to the emergence of object-oriented databases -- a technology that unifies the capabilities of database management and object-oriented programming systems.
Merging these two technologies creates a new technology that is more than the sum of its parts -- both in terms of the problems it can solve and the technical demands it imposes on its implementation. Some attempts to create this new technology have begun with object-oriented programming languages like C++ or Smalltalk, and augmented them with database-like capabilities such as persistence and sharing.
 Other efforts started with relational frameworks and attempted to generalize the representational and query processing capabilities of these engines. While the set-orientation of a database engine is required for the system to scale, the classic techniques for optimizing and processing relational queries are not general enough to be of value to the full range of queries possible in these much more powerful information processing engines. To succeed, a new approach is required.
Programming Language Techniques Do Not Scale
Relational Query Engines Are Not General Enough
A New Paradigm For Object-Oriented Database Implementation
A solution to any problem that can be solved on a computer can be implemented in a general purpose programming language. Because the problems associated with the new generation of database-centered applications require functionality readily available in object-oriented programming languages but not present in traditional relational query languages, it seems reasonable to start with one of these programming languages and give it the database functionality it lacks. However, there are problems with this approach.
Traditionally, programming languages, including the current generation of object-oriented programming languages, are designed to give programmers precise control over the order in which programs execute. The goal of a programming language is the implementation of algorithms -- how a result is obtained is as important as what result is obtained.
In contrast, database management systems attempt to frame requests in terms of what result is required, leaving the complex issues of how to obtain that result to the database system. In its simplest terms, even though a SQL query appears to be comparing every record from one table with every record from another table to do a join, that almost never happens in any well tuned, modern database system. While there are optimization techniques that rearrange programs to make them more efficient, adherence to how constrains what can be done.
At its essence, the fundamental problem for any database system, including an object-oriented database system, is the efficient processing of collection operations. Even though navigation reduces the need for some set-based operations like join, every non-trivial application eventually needs to select, group, or enumerate the elements of one of more collections. Ultimately, the number and size of the collections in a database is the issue that most impacts the scalability of the applications the database supports.
The most serious problem with most languages is their failure to encapsulate collection iteration in a useful way. Some languages are worse than others in this regard. For example, C++, despite its object-orientation, has no constructs whatsoever for collection iteration. Like its third generation ancestor, C, it assumes that collection iteration is a special case of the control flow iterators for (...)..., while ..., and do ... while (...). Algorithmic in nature, the language provides tools for precisely specifying how the iteration is to be performed, not what the iteration is intended to do.
While object-orientation makes possible the creation of a boundless number of collection types that provide a rich set of collection organizations -- Array, Bag, Dictionary, TimeSeries, and Set, among others -- programs written using these collection types must ask for the elements of a collection one at a time. Even if a collection type implements manipulation methods that accept element processing functions among their arguments, the issue has merely been deferred -- these functions have no tools to examine either the compiled code they were passed or the global context in which they are executing in order to develop an efficient execution plan.
There are object-oriented languages, like Smalltalk, that do encapsulate collection iteration. These languages have taken a step in the right direction in that they encourage a programming style that is less algorithmic and more result-oriented. Unfortunately, the standard implementations of these languages still lack the architectural support to allow collections to be treated as more than just a bundle of elements. Just as in C++, there are no tools, either explicitly available to the application designer or implicitly built into the language processor, that allow collection operations to examine the code they are executing or the global context in which they are running. Without that ability, it becomes very difficult to develop query processing strategies that exploit the availability of storage structures that optimize specific element level operations or that recognize redundant patterns of access.
If programming languages and their implementations lack a model for result-oriented collection operations, that is certainly not true of relational database systems. The design philosophy behind these systems is clearly collection and result-oriented. Even though it is possible to think of queries algorithmically, how a result is obtained is usually determined by the database system. Not constrained by how, these systems are free to find efficient, scalable answers to the question of what.
Naturally, this suggests that these systems ought to be the starting point for object-oriented database technology. Unfortunately, there are problems with this approach, as well. To understand the problems, it is important to understand how relational systems do what they do so well.
Relational database systems are specialists -- they restrict themselves to a small set of well understood operations defined on a correspondingly small set of basic types. They achieve their performance by extensively optimizing those operations. Typically, what they understand are the logical operations of and, or, and not and the relational operations of equality and inequality (i.e., <, <=, =, !=, >=, and >) applied to numbers, strings, and a few simple variations on numbers and strings like Date. They achieve performance by constructing indices that efficiently identify sets of records satisfying these relational operations and by reordering queries to make the most efficient possible use of those indices.
In a well designed database, most, if not all, queries built using this restricted set of operations can be answered using these high performance structures. Of course, not every field in the database needs to be indexed and not every operation that the relational system can do is optimized by an index. In that case, most modern relational systems attempt to bound the set of records that must be examined using the available indices before reverting to the classical approach of actually iterating through the remaining database records to obtain a final result.
While the query processing techniques of relational systems can be of use in an object database, their value is limited. While these techniques can be helpful in cases where the system is called upon to identify a set of records satisfying a criteria for which an index exists, the set of operations that the object system is called upon to process far exceeds the set of operations optimized by the multitude of tree structures used to construct indices. In those cases, a system naively constructed on top of a relational engine finds itself falling through to the iterative technique-of-last-resort that allows relational engines to process queries for which no better approach can be found.
This problem is often compounded by the technique many hybrid systems use to make new types and operations available from their query languages. The approach taken by these systems uses a language like C++ to implement new classes and operations. These new types and operations are then treated as a black box by the database system. Instead of optimizing these new types and operations as first class components of the database system, the database system optimizes around them. While this approach may eliminate some of the data traffic between a database server and its clients, it does nothing to optimize the new types and operations that are presumably critical to the applications being developed with these systems.
While object-oriented programming languages have the expressive power to implement a new generation of database-centered applications, they do not treat operations on collections as central to their architectures. If a database management system is to be useful for more than simple record retrieval, it must take a collection-centric view of its contents. That is well-established by the success relational systems have with the simple queries and programs they are capable of expressing.
The techniques used to implement these relational systems are too specialized, however, and must be generalized to support the richer set of operations possible in object-oriented databases. That generalization is possible. With it, a new collection-centered architectural framework for object-oriented database programming emerges with the scalability required to support the needs of large, analytic, cross-sectional applications.
A collection-centric model is important to a database management system because it allows both data and operations to be reorganized. The single most important reorganization in current systems involves the use of indices to optimize the selection criteria used to locate one or more records in a collection of records. Even though current systems use collections and indices as a way to optimize associative access, that is not the real reason they are important in a generalized model. They are important because they provide an alternative physical structure that reduces the amount of unnecessary data transferred from disk, where it is stored, to memory, where it can be used. When generalized, the principles they embody lead to the scalability of a much broader class of operations.
Whether represented as a record, tuple, or object, an entity in the world appears as a collection of related properties whose values hold the modeled state of the entity. This time-honored mapping makes intuitive and mathematical sense and, almost universally, serves as the logical basis for most database models of the world. Typically, it serves as the physical model for information storage as well.
A record, tuple, or object is usually represented in memory as a contiguous block of fields holding values for the entity it represents. This holistic approach to physical representation is not optimal for cross-sectional analyses of collections of entities. Even though it exists as a whole, an entity is never used as a whole except possibly when it is created or in response to the artificial question "Tell me everything there is to know about...". This query is even more artificial in the object world where "everything there is know" can include navigations that ultimately access the entire database.
Instead, entities are accessed and used one property at a time. Information in the properties not being examined is simply ignored. An index addresses that by isolating the values of a specific property or set of properties from a collection of entities. When it uses an index, a database system accesses just the values of the property it needs without transfering the values of properties it has no intention of using.
Technically, an index represents a special case of a general concept known as vertical partitioning. When similar data objects are visualized as a table, records store horizontal slices through that table while indices store vertical slices. Even though the operations performed in an object database are more complex than the operations traditionally implemented using indices, the vertical partitioning principles remain important. Access to the sales property for a collection of Company objects can be far more efficient, especially for large collections, if two conditions can be met:
Satisfying the first of these conditions -- the clustering condition -- requires that the database system recognize that instances of a type are created as part of a collection of related instances -- not simply as independent objects that happen to have the same structure and behavior. This is a broader definition than is traditionally employed by programming languages. In a programming language, types are used only for their program-verification and code-generation capabilities and do not usually play a role in managing the run-time environment. Satisfying the clustering condition is a relatively simple and localized problem of object memory management.
Satisfying the second of these conditions -- the computational utility condition -- is harder. Satisfying this condition requires that collection operations play an architecturally central role in the object database programming language. In particular, operations whose interpretation suggests that they are enumerating the elements of a collection must be identified and presented to the database engine for expansion, not implemented by a program that doles out elements one at a time.
Fortunately, there is a natural way of interpreting the object model that preserves its power while providing a framework for exploiting the kinds of clustering needed to support high performance analytics. Instead of interpreting the properties of an object as fields in a structure, those properties can be interpreted as functions that map one set of objects -- the set of instances of the class where the properties are defined -- to other sets of objects -- the instances of other classes in the database. With this interpretation, the object database programming language immediately elevates its perspective from individual objects to collections of objects for everything that it does.
This change in interpretation comes without damaging the comprehensibility of the database programming language. For example:
gm sales
is a perfectly natural, object-oriented way to ask for the value of gm's sales -- in fact, it is the expression that would be used in a language like Smalltalk. The change in perspective primarily occurs under the covers of the database programming language. From that perspective, this expression applies the function sales to the collection of objects returned from the function gm. Presumably, gm is a function defined in the user's current environment that returns the Company object representing General Motors. Standard object-oriented mechanisms like inheritance remain applicable -- they are used as before to locate function implementations based on the kinds of objects encountered.
Not all of an object's state is needed at once -- only gm's sales property is accessed from the hundreds, and in some cases, thousands of properties typically needed to model a Company object. That theme is recurrent -- consider the expression:
gm sales / gm industry sales * 100
which computes the percentage of gm's sales relative to the sales of its industry. In this case only the values of gm's industry and sales properties are accessed.
If objects are accessed one at a time, it probably does not matter that most of an object's properties are ignored. It does matter when operations are performed on collections of objects and it is not always obvious when those operations are being performed. Although this computation seems to be a perfectly benign example of navigation, it uses a hidden collection. This example is taken from a real database in which every Industry object has a collection-valued property named companyList that records the set of Company objects that comprise the Industry. Using that list, sales is a derived property of Industry objects computed using the expression:
companyList total: [sales]
Although this expression uses no relational operations or selection criteria, it is still optimized by the vertical partitioning of Company objects. Although the database engine references multiple Company objects to compute an industry's sales, it only requires the value of one property -- sales -- from each of those objects. The combination of vertical object partitioning and the functional interpretation of objects allows it to do just that without accessing information in properties that are not being used.
Unlike relational systems which require that data be represented in first normal form (i.e., no nested collections), the natural definition of new object types requires the use and encapsulation of multi-valued relationships. As this example illustrates, the database programming language must be prepared to deal with object properties that are themselves collections. Among other things, that implies that the database programming language must be prepared to deal with and optimize recursive collection operations. For example:
Company instances select: [sales > industry sales * 0.4]
is expected to return the set of companies whose sales is more than 40% of their industry's sales. As before, the set of properties needed to process this expression is a small fraction of the total number of properties available for Company objects.
Once again, there is a natural functional interpretation for this query as the application of the composed function [sales > industry sales * 0.4] to a set of Company objects. In using that composed function, the database engine first applies the functions sales and industry to the set of Company objects passed to the select: operation and then applies the functions >, sales, and * to the appropriate collection of objects returned from those initial function applications.
The nested collection operation within the definition of industry sales does not pose a problem and, in fact, presents an opportunity for further optimization. Unlike conventional object-oriented programming systems that deal with collection enumerations one element at a time, a functional perspective gives the database engine access to the entire state of the query and thus gives it an opportunity to restate the query in more optimal ways.
There are other benefits to vertical object partitioning and the functional interpretation of objects. One of them is data compression. The database engine has the opportunity to build representations of properties optimized to their data types and to compress those representations across multiple instances. As a result, it is possible to do things like compress null values and object references across sets of instances and to design high performance strategies for evaluating the composition of those compressed functions.
The creation of a viable technology that uses these techniques is not just an academic exercise. The examples in this section are written using the VisionTM database programming language from Innovative Systems Techniques, Inc. Vision provides the logical modeling power and computational completeness of an object-oriented programming language along with a collection-centric perspective of database programming. The first production databases and applications built using Vision went into service in 1986 and remain in use today. The collection-based storage and control flow reorganization techniques described here have been part of Vision since its introduction.
| Copyright © 1999 Innovative Systems Techniques, Inc. | Updated January 28, 1999 |


Main Menu
Assessment Coversheet
General Neighbourhood Characteristics
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[BC] Building and Construction Characteristics
B8. Cooling
Windows
Window AC
Fans
Central
Dont know
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Required!
If Central Cooling, Filters?
Clean
Partiallly Dirty
Dirty
No Filter
Not Assessed
Required!
B9. Gas Dryer
Exhaust properly attached
Yes
No
Dont Know
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Required!
Gas detected from main gas line to appliance
Yes
No
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Hello world!
Note: This example uses Internet Explorer ranges and will only work on Internet Explorer.


Generate Data¶
skedm comes with both 1D and 2D test data. These built in functions allow you to quickly explore the behavior of different systems. Check the skedm_example_data notebook for visual examples.
1 Dimensional¶
-
skedm.data.
logistic_map
(sz=256, A=3.99, seed=36, noise=0)¶ Solutions to the logistic map for a given amount of time steps.
\[X_{t+1} = AX_t(1 - X_t) + \alpha\eta\]where the value of the parameter \(A\) determines if the system is chaotic, \(\eta\) is uncorrelated white noise and \(\alpha\) is the amplitude of the noise.
Parameters: - sz (int) – Length of the time series.
- A (float) – Parameter for the logistic map. Values beyond 3.56995 exhibit chaotic behaviour.
- seed (int) – Sets the random seed for numpy’s random number generator.
- noise (float) – Amplitude of the noise.
Returns: X – Logistic map of size (sz).
Return type: 1D array
-
skedm.data.
noisy_periodic
(sz=256, freq=52, noise=0.5, seed=36)¶ A simple periodic equation with a a specified amplitude of noise.
\[X(t) = sin( 2\pi ft ) + 0.5cos( 2\pi ft ) + \alpha\eta\]Where \(f\) is the frequency \(\eta\) is uncorrelated white noise and \(\alpha\) is the amplitude of the noise.
Parameters: - sz (int) – Length of the time series.
- freq (int) – Frequency of the periodic equation.
- noise (float) – Amplitude of the noise.
- seed (int) – Sets the random seed for numpy’s random number generator.
Returns: X – Periodic array of size (sz) with values between 0 and 1.
Return type: 1D array
-
skedm.data.
noise_1d
(sz=256, seed=36)¶ White noise with values between 0 and 1. Uses numpy’s random number generator.
Parameters: - sz (int) – Length of the time series.
- seed (int) – Sets the random seed for numpy’s random number generator.
Returns: X – Random array of size (sz) with values between 0 and 1.
Return type: 1D array
-
skedm.data.
lorenz
(sz=10000, max_t=100.0, noise=0, parameters=(10, 2.6666666666666665, 28.0))¶ Integrates the lorenz equations. Which are defined as:
\[ \begin{align}\begin{aligned}\frac{dx}{dt} = \sigma (y - x)\\\frac{dy}{dt} = x(\rho - z) - y\\\frac{dz}{dt} = xy - \beta z\end{aligned}\end{align} \]Where \(\sigma=10\), \(\beta=8/3\), and \(\rho=28\) lead to chaotic behavior.
Parameters: - sz (int) – Length of the time series to be integrated.
- max_t (float) – Length of time to solve the lorenz equation over,
- noise (float) – Amplitude of noise to be added to the lorenz equation.
- parameters (tuple) – Sigma, beta, and rho parameters for the lorenz equations.
Returns: X – X solutions in the first column, Y in the second, and Z in the third.
Return type: 2D array
2 Dimensional¶
-
skedm.data.
chaos_2d
(sz=128, A=3.99, eps=1.0, noise=None, seed=36)¶ Logistic map diffused in space. It takes the following form:
\[x_{t+1} = A x_t(1-x_t) \equiv f(x_t)\]\[x_{t+1,s} = \frac{1}{1+2\epsilon}[f(x_{t,s})+ \ \epsilon f(x_{t,s \pm 1})] +\alpha\eta\]Where \(A\) is the parameter that controls chaos, \(\eta\) is uncorrelated white noise, \(\alpha\) is the amplitude of the noise and \(\epsilon\) is the strength of the spatial coupling.
Parameters: - sz (int) – Row and column size of the spatio-temporal series to be generated.
- A (float) – Parameter for the logistic map. Values beyond 3.56995 exhibit chaotic behaviour.
- eps (float) – Spatial coupling strength.
- seed (int) – Sets the random seed for numpy’s random number generator.
- noise (float) – Amplitude of the noise.
Returns: X – Spatio-temporal logistic map of size (sz,sz).
Return type: 2D array
-
skedm.data.
periodic_2d
(sz=128, freq=36, noise=0.5, seed=36)¶ A simple 2D periodic equation with a specified amplitude of noise. This is a sine wave down the rows, added to a cosine wave across the columns.
\[X(r,c) = sin(2\pi fr) + 0.5cos(2\pi fc) + \alpha\eta\]Where \(r\) and \(c\) are the row and column values, \(f\) is the spatial frequency, \(\eta\) is uncorrelated white noise and \(\alpha\) is the amplitude of the noise.
Parameters: - sz (int) – Length of the time series.
- freq (int) – Frequency of the periodic equation.
- noise (float) – Amplitude of the noise.
- seed (int) – Sets the random seed for numpy’s random number generator.
Returns: X – 2D periodic equaiton of size (sz,sz). Values between 0 and 1.
Return type: 2D array
-
skedm.data.
brown_noise
(sz=128, num_walks=500, walk_sz=100000, spread=1000, seed=3)¶ Creates brown noise by summing many random walks.
Subsamples to generate sizes: 128, 256, or 512. 512 is the full size.
Parameters: - sz (int) – Row and column size of the array to be returned.
- num_walks (int) – Number of random walks.
- walk_sz (int) – Length of the random walk to take.
- spread (int) – Normal distribution of walks. Sizes randn*spread.
- seed (int) – Sets the random seed for numpy’s random number generator.
Returns: X – 2D brown noise array size (sz,sz).
Return type: 2D array
-
skedm.data.
periodic_brown
(sz=128, freq=36, seed=36)¶ A periodic equation with a specified amplitude of brown noise. Calls the function brown_noise.
\[X(r,c) = sin(2\pi fr + \eta)\]Where \(r\) and \(c\) are the row and column values, \(f\) is the spatial frequency, and \(\eta\) is the brown noise.
Parameters: - sz (int) – Length of the spatiotemporal series.
- freq (int) – Frequency of the periodic equation.
- seed (int) – Sets the random seed for numpy’s random number generator.
Returns: X – Array containing the periodic equation with brown noise added.
Return type: 2D array
-
skedm.data.
noise_2d
(sz=128, seed=36)¶ 2D array of white noise values between 0 and 1. Uses numpy’s random number generator.
Parameters: - sz (int) – row and column size of array.
- seed (int) – Sets the random seed for numpy’s random number generator.
Returns: X – Array of size (sz,sz) with values between 0 and 1.
Return type: 2D array
-
skedm.data.
overlapping_circles
(sz=256, rad=20.0, sigma=1, num_circles=1000)¶ Randomly places circles that have been gaussian blurred. Overlapping circles are summed together. Uses scipy’s gaussian filter.
Calls _gauss_circle_create to make the circles.
Parameters: - sz (int) – Row and column size of the space.
- rad (float) – Radius of the circles.
- sigma (float) – Constant that controlls the strength of the filter.
- num_circles (int) – Number of circles to place down randomly.
Returns: X – Summed circles. Size (sz,sz).
Return type: 2D array
-
skedm.data.
concentric_circles
(rad_list, sz=256, num_circs=1000)¶ Create circles inside larger circles. These circles cannot overlap. Calls the function _concentric_circle.
For example, if rad_list=[2,4,6], and sz=256; _concentric_circle will generate concentric circles in a 256x256 matrix with the innermost radius equal to 2 and the outermost radius equal to six. The values of the circles will be 1, 2, and 3 respectively.
Parameters: - rad_list (list of ints) – Radii of the cocentric circles circles. Must be increasing.
- sz (int) – Row and column size of the returned space.
- num_circs (int) – Number of circles to create.
Returns: blobs – Array of integers with shape (sz,sz).
Return type: 2D array
-
skedm.data.
small_and_large_circles
(sz=256, rad1=5, rad2=8, num_circs=1000)¶ Create larger circles with smaller circles spread randomly in space.
Same number of large circles and smaller circles. Calls _circle_create.
Parameters: - sz (int) – Row and column size of the space in which the circle is placed.
- rad1 (int) – Radius of the smaller circle.
- rad2 (int) – Radius of the larger circle.
- num_circs (int) – Number of large and small circles to attempt to create.
Returns: blobs – Array of size (sz,sz) containing all the circles.
Return type: 2D array
-
skedm.data.
random_sized_circles
(rad_list, val_list, sz=512, num_circs=3000)¶ Create random sized circles spread randomly in space and assign them to classes in val_list.
For example, rad_list=[1,2,3] and val_list=[4,5,6] will create circles with radius 1, 2, and 3 and values 4, 5, and 6 respectively.
Parameters: - sz (int) – Row and column size of the space in which the circle is placed.
- rad_list (list of ints) – List of radii.
- val_list (list ints) – List of values associated with the radii.
- num_circs (int) – Total number of circles to create.
Returns: blobs – Array of integers corresponding to the values given in val_list. Areas without a circle will be zero.
Return type: 2D array
-
skedm.data.
voronoi_matrix
(sz=512, percent=0.01, num_classes=27)¶ Create voronoi polygons.
Parameters: - sz (int) – Row and column size of the space.
- percent (float) – Percent of the space to place down centers of the voronoi polygons. Smaller percent makes the polygons larger.
- num_classes (int) – Number of classes to assign to each of the voronoi polygons.
Returns: X – 2D array of size (sz,sz) containing the voronoi polygons.
Return type: 2D array
-
skedm.data.
chaos_3d
(sz=128, A=3.99, eps=1.0, steps=100, tstart=50)¶ Logistic map diffused in space and taken through time. Chaos evolves in 3rd dimension.
\[x_{t+1} = A x_t(1-x_t) \equiv f(x_t)\]\[x_{t+1,r,c} = \frac{1}{1+4\epsilon}[f(x_{t,r,c})+ \ \epsilon f(x_{t,r \pm 1, c}) + \epsilon f(x_{t,r, c \pm 1})]\]Where \(A\) is the parameter that controls chaos and \(\epsilon\) is the strength of the spatial coupling.
Parameters: - sz (int) – Row and column size of the spatio-temporal series to be generated.
- A (float) – Parameter for the logistic map. Values beyond 3.56995 exhibit chaotic behaviour.
- eps (float) – Amount of coupling/diffusion between adjecent cells.
- seed (int) – Sets the random seed for numpy’s random number generator.
- tstart (int) – When to start collecting the data. This allows the chaos to be fully developed before collection.
Returns: X – Spatiotemporal logistic map of size (sz, sz, steps).
Return type: 2D array


Bangkok man makes, floats and eats BBQ float for Loy Krathong Eve (Photos)
by Coconuts BangkokWhile roses may be the way into some hearts, a Thai man believes cooked pork is the best way to show someone you love them this Loy Krathong.
For the Thai Festival of Lights taking place today, Naeak “Eak” Wichapom’s gone viral for creating a float, or krathong, out of vegetables and pork just to see if it could be done.
“This year, I think my wife will really like this. … She must be bored of bananas and bread. So I decided to prepare moo kra ta (barbecue pork) for my entire family. It’ll feed my mom, my wife and my kid,” Naeak wrote on his Bored of My Wife page along with photos of him test-floating – and eating – the pork krathong on Loy Krathong Eve.
The photos show that rather than the usual foam or bread covered with flowers, his krathong was an elaborate hot pot spread filled with meat, carrots, mushrooms and an array of green veggies. Naeak is shown sticking candles and incense into the krathong for prayer before floating it in a bucket of water in what looks like his backyard.
After that, he’s seen firing up a hot pot grill and putting the bowl on top. “Delicious” he wrote with a photo of him sampling the edible krathong.
It wasn’t the first time Naeak has wowed the Thainet with his creativity. Back in February, he went viral for another creative barbecue creation – a meat bouquet he made for his wife on Valentine’s Day.
“I’ve given her many things over the years we’ve been together, I figured she’d be bored of everything by now. So I wanted to do something weird this year,” said Naeak, whose page of comics about modern love has more than 2 million likes.
“We love food, what can go wrong?” told Coconuts Bangkok this morning of his inspiration.
Related:
Thai man makes barbecue bouquet out of real pork and vegetables for wife (Photos)


Contact: B. Wyman Reviewers: Change history: WebCVS Log for bgrid_horiz_diff.f90
B-grid dynamical core module that performs linear horizontal mixing.
This module has the following features: - horizontal mixing of temperature, prognostic tracers, and momentum - horizontal mixing achieved using 5-pt Shapiro filter, higher-order mixing achieved by re-applying lower-order results - full control of coefficients and accuracy through namelist input and tracer manager (field table)
bgrid_horiz_mod bgrid_masks_mod bgrid_prog_var_mod bgrid_halo_mod bgrid_change_grid_mod fms_mod constants_mod field_manager_mod tracer_manager_mod
use bgrid_horiz_diff_mod [ ,only: horiz_diff_init, horiz_diff ] horiz_diff_init Mandatory initialization routine for bgrid_horiz_diff_mod. Initializes horizontal damping control parameters. horiz_diff Updates prognostic variable tendencies with horizontal damping tendencies. Other user interface options: 1) A namelist interface called bgrid_horiz_diff_nml is read from file input.nml. 2) Parameters for individual tracers may be set in the tracer "field_table".
call horiz_diff_init ( Hgrid ) DESCRIPTION Initializes the horizontal damping module. This routine reads the bgrid_horiz_diff_nml namelist, queries the tracer manager for damping scheme options, and then defines damping control parameters (stored internally). This routine must be called before calling subroutine horiz_diff. INPUT Hgrid Data structure containing horizontal grid constants. [horiz_grid_type]
call horiz_diff ( Hgrid, Masks, nplev, dt, dpde, pres, Var, Var_dt ) DESCRIPTION This routine computes horizontal damping tendencies using the prognostic variables at the next time level. The routine returns updated prognostic variable tendencies, while leaving the prognostic variables unmodified. The initialization routine must be called first. INPUT Masks grid masking constants [grid_mask_type] nplev number of "pure" pressure levels at the top of the model [integer] dt adjustment time step [real] dpde current pressure thickness of model layers [real, dimension(Hgrid%ilb:,Hgrid%jlb:,:)] pres pressure at model levels (i.e., mean of model layers) [real, dimension(Hgrid%ilb:,Hgrid%jlb:,:)] Var prognostic variables at the end of the last dynamics time step [prog_var_type] INPUT/OUTPUT Hgrid horizontal grid constants [horiz_grid_type] Var_dt prognostic variable tendencies, accumulated since the variables were updated in Var [prog_var_type] NOTES The damping is applied to "current" prognostic fields that have been updated with their time tendencies. For example, temp(current) = Var % t + dt * Var_dt % t.
&bgrid_horiz_diff_nml damp_scheme_wind The horizontal damping scheme. damp_scheme_temp Determines how horizontal damping coefficients vary with latitude. Possible values are: damp_scheme__ = 0 -- No damping = 1 -- Coefficients are isotropic and uniform with latitude = 2 -- Coefficients are isotropic and increase poleward of "reflat" as a function of deq**2/d**2, where deq and d are the diagonal grid distances at the equator and in the current grid box. Equatorward of "reflat" coefficients are the same as scheme 1. = 3 -- Coefficients are isotropic and increase poleward of "reflat" as a function of dxeq**2/dx**2, where dxeq and dx are the x-axis grid distances at the equator and in the current grid box. Equatorward of "reflat" coefficients are the same as scheme 1. = 4 -- Coefficients are non-isotropic, x-axis coefficients use scheme 2, and y-axis coefficients use scheme 1. = 5 -- Coefficients are non-isotropic, x-axis coefficients use scheme 3, and y-axis coefficients use scheme 1. NOTES: Schemes 2-5 provide increased damping in higher latitudes. For the non-isotropic schemes (4 & 5), the x-axis coefficients are never less than the y-axis coefficients. Momentum is controlled using "damp_scheme_wind". Temperature and tracers are controlled using "damp_scheme_temp". [integer, default: damp_scheme___ = 1] reflat Latitude cutoff (in degrees) at which increased damping in high latitudes is applied. Equatorward of this latitude uniform damping (scheme=1) is applied, while poleward of this latitude enhanced damping (scheme 2-5) is applied. This variable is only used when damp_scheme_wind > 1 or damp_scheme_temp > 1. [real, default: reflat = 85.] damp_order_wind Damping order for momentum, temperature, and the default for damp_order_temp all prognostic tracers. Only positive, even numbers are allowed. damp_order_tracer Very little testing has been done with other than fourth order. [integer, default: damp_order___ = 4] damp_coeff_wind Damping coefficients for momentum, temperature, and the default damp_coeff_temp for all prognostic tracers. Coefficients are normalized by their damp_coeff_tracer maximum value, and must be in the range: 0 <= coeff <= 1. [real, default: damp_coeff___ = 0.35] slope_corr_wind The topographic slope correction coefficients for momentum, slope_corr_temp temperature, and the default for all prognostic tracers. slope_corr_tracer Values must be in the range: 0.0 (no correction) to 1.0 (full correction). The array of size 4 corresponds to coefficients for model levels (/ 1:nlev-3, nlev-2, nlev-1, nlev /). [real, dimension(4), default: slope_corr___ = (/0,0,0,0/)]
Methods:
Schemes:
Parameters:
Examples:
'diff_horiz', 'linear', 'coeff=.20,order=2,slope=1.,1.,1.,0.5' 'diff_horiz', 'none', 'coeff=0.'
FATAL errors in bgrid_horiz_diff_mod input array has the wrong dimensions. The horizontal dimensions of input data does not agree with the horizontal indexing in the "Hgrid" data structure. invalid damping scheme The namelist value must be in the range: 0 <= damp_scheme <= 5. invalid damping method, ..... You have specified an invalid "diff_horiz" method in the field_table. The valid methods are: "LINEAR" or "NONE". invalid damping order The damping order must be a positive, even number (0,2,4,....). Check your input values in the namelist and field_table. invalid damping coeff Damping coefficients must be in the range: 0. <= coeff <= 1. Check your input values in the namelist and field_table. invalid slope correction coeff Slope correction coefficients must be in the range: 0. <= coeff <= 1. Check your input values in the namelist and field_table.
* The second-order damping operator is positive-definite. * A damping order > 2 is not positive-definite and may produce small negative values with sharp gradients.
None.


If you wish to use SPSS or Stata, you will also need line manager approval and a clear justification.
Would you like to request access to SPSS and Stata?


As a disclaimer I first must mention, considering that I have only been coding in HTML and CSS for one week at the time of writing this, most of the content in this blog entry is not first-hand knowledge (being that I knew about it prior to writing). Rather most of the information has been researched and gathered from external sources. i should also note the example code used to aid my explanation originated from w3schools
Within CSS, the display: inline, inline-block, and block statement have several similarities with one another, all being used to format the display of boxes in alignment with the CSS box model (you can read more about that here) . Because these aforementioned statements only focus on the formatting and display of boxes many of the aspects that would be applied to the box model such as border and background colour can still be applied in the same way they normally would. However, one of the main differences between inline, inline-block, and block, besides their general format/display characteristics, is how they interact with given padding and margin statements.
Using display: inline, will produce the elements it is applied to “inline” or alongside other elements that surround it. This can be seen below in the placeholder text where “Aliquam” and “veneatis” are both applied to their own box, inline with one another and the rest of the text (the code used to create this can also be seen below).
See the Pen ExZGmKg by James Pearce (@james-pearce-the-scripter) on CodePen.
you might have also noticed that within the span.a class the width and height have been set at 100px yet the output does not display thi (this is also the same with top and bottom margins), this is one of the characteristics of using display: inline, often meaning that the element can overlap with other text above or below (depending on the texts/other elements spacing and margin)
Using display: inline-block combines the best of both worlds, allowing one to keep elements “inline” or alongside others, as well as allowing for a set of more precise characteristics such as width and height as well as margins and padding. Below you will notice that the class span.b is identical to span.a, yet now the height and width elements have been honoured and applied.
See the Pen yLgGMdd by James Pearce (@james-pearce-the-scripter) on CodePen.
One common use for inline-block is to display a list of items horizontally instead of vertically, such as horizontal navigation links at the top of a website. This can be seen below
See the Pen oNBJWLe by James Pearce (@james-pearce-the-scripter) on CodePen.
Display: block is identical to inline-block except excludes the inline elements, meaning that a line-break is added after the element so that no other element will sit next to it. This can be seen below
See the Pen QWdzvGX by James Pearce (@james-pearce-the-scripter) on CodePen.


Test Summary
|
100%
successful |
Packages
| Package | Tests | Failures | Ignored | Duration | Success rate |
|---|---|---|---|---|---|
| com.hackergym.samples.array.questions | 177 | 0 | 0 | 0.053s | 100% |
| com.hackergym.samples.linkedlist.questions | 172 | 0 | 0 | 0.046s | 100% |
|
100%
successful |
| Package | Tests | Failures | Ignored | Duration | Success rate |
|---|---|---|---|---|---|
| com.hackergym.samples.array.questions | 177 | 0 | 0 | 0.053s | 100% |
| com.hackergym.samples.linkedlist.questions | 172 | 0 | 0 | 0.046s | 100% |


OS Tuning tips for Hadoop Cluster
1.Decrease swappiness.
Reason:
A value from 0 to 100 which controls the degree to which the system swaps. A high value prioritizes system performance, aggressively swapping processes out of physical memory when they are not active. A low value prioritizes interactivity and avoids swapping processes out of physical memory for as long as possible, which decreases response latency. The default value is 60.
Default value: 60
Recommend value: 5
Online Change: Y
Action:
# update online
echo 5 > /proc/sys/vm/swappiness
# update permanently , edit /etc/sysctl.conf and add following line:
vm.swappiness = 5
2.Filesystem remount with noatime
Reason:
Ext4 default mount with atime, means the IO will update the filesystem with access time. Will bring extral IO to disk, atime useless to your HDFS filesystem, while noatime, means write operation will not update inode access times on this file system.
Default value: atime
Recommend value: noatime
Online Change: Y
Action:
# update online
mount -o remount,noatime /dataX
# update permanently , edit /etc/fstab
/dev/sdxx /dataX ext4 defaults,noatime 1 1
3.Turn off reserved disk for HDFS disks
Reason:
As a security measure the ext3 file system reserves 5% of device space for administrative processes. This protects the system by allowing root processes to continue using the disk if a user process runs wild and fills it up. With today’s larger disk capacities, 5% equates into gigabytes of arguably wasted space. This is unnecessary for HDFS because it has 3 replica. It’s safe to disable it.Based on our current disks. 0.2Tx30x6 = 36T. We are wasting 36T space.
Default value: 5%
Recommend value: 0%
Online Change: Y
Action:
# this online change, no impact. Note: only do following on HDFS data disks.
sudo tune2fs -m 0 /dev/sdcX
tune2fs 1.41.12 (17-May-2010)
Setting reserved blocks percentage to 0% (0 blocks)
4.Disable transparent hugepage(THP) compaction
Reason:
Most Linux platforms supported by CDH 5 include a feature called transparent hugepage compaction which interacts poorly with Hadoop workloads and can seriously degrade performance.
Default value: enabled
Recommend value: disable
Online Change: Y
Action:
# online update
echo never > /sys/kernel/mm/transparent_hugepage/enabled
echo never > /sys/kernel/mm/redhat_transparent_hugepage/defrag
# update permanently , add following lines to /etc/rc.local
echo never > /sys/kernel/mm/redhat_transparent_hugepage/enabled
echo never > /sys/kernel/mm/redhat_transparent_hugepage/defrag
5.Vitual Memory tuning.
Reason:
OS default use overcommit ratio to 50%, means we have some waste of our RAM.
Default value: 50
Recommend value: 95
Online Change: Y
Action:
# online update
echo 95 > /proc/sys/vm/overcommit_ratio
echo 2 > /proc/sys/vm/overcommit_memory
# update permanently , add following lines to /etc/sysctl.conf
vm.overcommit_ratio=95
vm.overcommit_memory=2
Refer:
http://www.cloudera.com/content/cloudera/en/documentation/core/latest/topics/cdh_admin_performance.html
http://www.slideshare.net/technmsg/improving-hadoop-cluster-performance-via-linux-configuration
https://iainvlinux.wordpress.com/2014/02/16/memory-overcommit-settings/


NVIDIA drivers can be downloaded from the NVIDIA website (http://www.nvidia.com).
The NVIDIA graphics driver uses a Unified Driver Architecture: the single graphics driver supports all modern NVIDIA GPUs. "Legacy" GPU support has been moved from the unified driver to special legacy GPU driver releases. See Appendix A, Supported NVIDIA GPU Products for a list of legacy GPUs.
The NVIDIA graphics driver is bundled in a self-extracting
package named NVIDIA-Linux-x86_64-460.27.04.run
. On
Linux-x86_64, that file contains both the 64-bit driver binaries as
well as 32-bit compatibility driver binaries; the NVIDIA-Linux-x86_64-460.27.04-no-compat32.run
file only contains the 64-bit driver binaries.


SoftBank to go ahead with WeWork stock tender offer this week
NEW YORK/BANGALORE, INDIA – SoftBank Group Corp. will this week launch a previously agreed tender offer for as much as $3 billion of WeWork shares, including up to $970 million owned by the office sharing company’s cofounder, Adam Neumann, two people familiar with the matter said.
The tender offer to the founders, investors and employees owning stock was expected to launch earlier this month but was delayed after SoftBank sought technical revisions to the offer documents, according to the sources.
It will go ahead based on the previously announced terms at $19.19 a WeWork share as soon as Monday, these people said.
Last Thursday, Bloomberg reported that executives at SoftBank, the giant Japanese technology investment company, had been looking for a way to reduce the size of the offer, including limiting the amount paid to Neumann. The report said that some SoftBank executives felt the payout to Neumann was too generous.
The people familiar with the matter said there was no discussion between WeWork and SoftBank about changing the terms of the offer, which one of the sources said could have opened SoftBank up to lawsuits from Neumann and others.
RELATED STORIES
Spokeswomen at SoftBank and at WeWork both declined comment.
The offer is a crucial part of SoftBank’s $9.5 billion rescue of WeWork agreed in October. SoftBank is also providing $6.5 billion in debt and equity financing to the company, which has been suffering huge losses and was fast running out of cash.
It lays the way for SoftBank to control about 80 percent of WeWork and is part of an agreement with Neumann that will see him give up voting control of the company and leave the board.
In addition to the money Neumann will get from selling his shares, SoftBank has given him a $500 million line of credit to help repay his bank loans and a $185 million advisory fee as part of the original deal.
Neumann has already drawn about $400 million of the $500 million credit, according to the sources, and is obligated under the terms of the agreement to use any proceeds he receives from the tender offer to pay SoftBank back.
WeWork said on Thursday it is laying off around 2,400 employees globally as it seeks to drastically cut costs and stabilize its business after its dramatic fall from grace. The company had 12,500 employees on June 30, and there are others who work for affiliates.
After being valued at $47 billion in January and planning an initial public offering (IPO), WeWork quickly became a company that was facing a cash crunch and fighting for survival. It shelved its plans for the IPO on Sept. 30 because investors were wary of its growing losses, its business model and its corporate governance. Neumann had resigned as CEO the previous week.
Marcelo Claure, the new executive chairman of WeWork’s parent, The We Company, told WeWork employees last month he had “no idea” how many shares Neumann was going to sell in the tender.
Neumann has more than a 20 percent stake in WeWork but his real power came from super-voting stock that gave him control. His ability to use super-voting stock will disappear as part of the deal with SoftBank.
The size of Neumann’s potential payout at a time when the company is firing workers led Senator Elizabeth Warren, who is among the contenders seeking the Democratic presidential nomination in 2020, to tweet on Friday that “this is another example of a rigged and corrupt system.”
A spokeswoman for Neumann declined comment.
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The sum of the squares of the first ten natural numbers is, $$1^2 + 2^2 + ... + 10^2 = 385$$ The square of the sum of the first ten natural numbers is, $$(1 + 2 + ... + 10)^2 = 55^2 = 3025$$ Hence the difference between the sum of the squares of the first ten natural numbers and the square of the sum is 3025 − 385 = 2640.
Find the difference between the sum of the squares of the first one hundred natural numbers and the square of the sum.
$$result = (\sum_{i=1}^m i)^2 - \sum_{i=1}^m i^2$$
It is a problem of 'multinomial theorem'.
Refer to Wikipedia: Multinomial_theorem
$$(x_1 + x_2 + ... + x_t)^n = \sum \frac{n!}{n_1!n_2!...n_t!} x_1^{n_1} x_2^{n_2}...x_t^{n_t}$$
and $$n_1 + n_2 + ... + n_t = n, 0 \le n_i \le n$$
Here, n = 2, so above equation become:
$$(\sum_{i=1}^m i)^2 = (1 + 2 + ... + m)^2 = \sum \frac{2!}{n_1!n_2!...n_m!} 1^{n_1}2^{n_2}...m^{n_m} $$
and $$n_1 + n_2 + ... + n_m = 2, 0 \le n_i \le n$$
So, $$if \; n_i = 2, then \; n_j = 0, 1 \le j \le t, j \ne i$$
So, $$result = (\sum_{i=1}^m i)^2 - \sum_{i=1}^m i^2 = \sum \frac{2!}{n_j!n_k!} j*k = \sum \frac{2}{1!1!} j*k = 2 \sum j*k$$
and here (j, k) is combination of [1 to m]
from itertools import combinations
def solve(end):
return 2 * sum((j * k for j, k in combinations(range(1, end+1), 2)))
solve(10)
solve(100)


These people have the youngest average age
They have the highest score for emerging culture activity, which includes, going to gigs, using Facebook/Twitter and playing sport
They are an urban group, living in cheap locations in large cities like Liverpool and Newcastle
They socialise with a broad range of people
They’re likely to come from working class backgrounds


Impulse is a small, dynamic, prototypical programming language with planned support for multi-methods and predicate dispatching. It borrows syntax and semantics from other languages such as Ruby, Smalltalk, Dylan, Io, Lua and JavaScript along with ideas from functional languages like Haskell and ML.
A core goal is too keep the language, both the implementation and the syntax, small and lightweight. Impulse tries to factor special syntax such as pattern matching and list comprehension into the language using predicates.
# Get a list of even numbers between 1 and 10 1..10 map: n [n is-even?] -> n * n
# The ubiquitous factorial example factorial = n [n == 0] -> 1 \ [] -> factorial: (n - 1)
# A method which takes a <stream> argument object <document> method print: stream <stream> stream write: self end end
Source - impulse-0.5-source.tgz
Compiling should be as easy as "make && sudo make install". Impulse has been tested with GCC 4.3.3 on Ubuntu 32/64, GCC 4.3.2-1 on Cygwin, and GCC 4.0.1 on Mac OS X.
You can reach me with any questions or comments at mike AT mike-austin DOT com


Erin Brokovich
Rating: * * * * out of * * * * (* * * * * for NZone) Starring: Julia Roberts, Albert Finney, Aaron Eckhart, Marg Heleberger, Cherry Jones, Peter Coyote, Veanne Cox, Conchata Ferrell. Directed by: Steven Soderbergh 2000--131 Minutes Written By Brandon Herring March 17, 2000
So far in the year 2000, we have not had a great movie. So far in the year 2000 only 7 films have gotten *** or more, two films have gotten Zero Stars. I was starting to give up on movies so far, when I came along this gem, which has become a huge hit. Julia Roberts is probably my favorite actress in the world, and starred last year in one of my top 10 favorites "Notting Hill". Roberts was mostly known for her roles in romantic comedies such as "Pretty Woman" and "Runaway Bride", now in the year 2000 Roberts comes back in a role much different from her past, this time she is a tight skirt wearing, foul-mouthed, sexy paralegal in the first great movie of 2000.
"Erin Brokovich" is the incredibly true story of a young woman (brilliant played by Julia Roberts) who is the single mother of three, married twice and divorced twice, living in a run down house with roaches, battling a lawyers office which happens to be her job, and her love life is on the rocks. This is the everyday of Erin's life. The film starts out with Erin getting into a nasty accident, and sueing the guy responsible for hitting her. She ends up working for this lawyer's office led by Ed Massery (played greatly by Albert Finney). Erin is hired reluctencly as a paralegal, and ends up investigating a very serious case in her real estate files, which has to deal with people on this once piece of land, whose water comes from PG&E, ends up developing cancer after living on this land, and drinking this water. Erin meets a young woman played fantastically by Marg Helenberger who is being attacked with a handful of diseases, and Erin gathers up enough people who in the past have lived on this land to file a lawsuit. What insues is a uplifting story, and an incredibly showcase of acting.
Julia Roberts who starred last summer in one of my favorite movies of all time, 1999's "Notting Hill", has again come through and made another movie that is howlingly funny, devistatingly sad, and in the end uplifting and powerful that a tear came to my eye because I felt so good. Julia gives yet another Oscar-calibur performance, and her portrayal of a single mother here is priceless.  Her on screen chemistry with the camera is beyond descriptive words, and only the mind can imagine how good Julia is.  Julia and her tightfitting clothes are another character trait in this film, she is always in cleavage showing, short tight-fitting skirts that always show off not even enough. She in the end is powerful, yet subtle, foul-mouthed, yet gentle woman whom we fall in love with by the time the credits role.
Her supporting actors notably Albert Finney are fantastic, and back up the lead actress with charisma and charm. Albert Finney plays Erin's boss, and is incredibly effective in his role. He gives us a believable man, who owns a business and is having this young woman work for him, which we all know could not be that easily done. In the end again we fall in love with him as well. Aaron Eckhart most notable from "In The Company of Men" and "Your Friends & Neighbors" is an on screen gem playing Erin's gruff, biker boyfriend Robert, who behind all the facial hair, and ruff and tuff image, is a sweet natured guy, who falls in love with both her and her kids.
Directed by Steven Soderbergh who gave us 1998's fantastic "Out of Sight" strikes gold once again, with this realistic, breathtakingly fresh view into Erin's world, and the effects it has on Erin's family. Not only does he do such a good job at being a director, as he does making good movies. If Soderbergh continues to make movies like this, I will continue to praise movies like this. When you walk into a movie, and expect the best, and get even more it is a rare feeling to know that movies like this can come out. Even though only being March of 2000, I can already tell right now, "Erin Brokovich" is already one of the best films of 2000, and so far the best movie I have seen of 2000.
Copyright Brandon Herring 2000.
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


You can find all of the questions and answers abour secure your account
If you’re experiencing a personal crisis, are unable to cope and need support send message. We will always try to respond to texters as quickly as possible.


Live demo lives here. Firefox extension lives here (read more about configuring the extension).
Other examples (via shumway inspector):
For more information about development, see the developer wiki, or find us on the #shumway IRC channel (irc.mozilla.org).
You can also clone the project with Git by running:
$ git clone git://github.com/mozilla/shumway


[From Varieties of Psychedelic Experience, 1966, pp.163]
A DMT injection turns into a 'hellish' experience:
I had been up for three days and two nights working on a manuscript. That was the first mistake. The room where the 'experiment' was to take place was a dirty, dingy, insanely cluttered pest hole. That was the second mistake. I was told that I would see God. That was the third and worst mistake of all.
The needle jabbed into my arm and the dimethyl-tryptamine oozed into my bloodstream. At the same time the steam came on with a rhythmic clamor and I remember thinking that it would be nice to have some heat. Within thirty seconds I noticed a change, or rather I noticed that there had never been any change, that I had been in this dreamy unworldly state for millions of years. I told this to Dr. _. who said, 'Good, then it is beginning to cross the blood-brain barrier.'
It was too fast. Much too fast. I looked up at what a minute ago had been doors and cabinets, and all I could see were parallel lines falling away into absurdities. Dimensions were outraged. The geometry of things crashed blindly into one another and crumbled into chaos. I thought to myself, 'But he said that I would see God, that I would know the meaning of the universe.' I closed my eyes. Perhaps God was there, behind my eyeballs.
Something was there, all right; Something, coming at me from a distant and empty horizon. At first it was a pinpoint, then it was a smudge, and then - a formless growing Shape. A sound accompanied its progress towards me - a rising, rhythmic, metallic whine; a staccato meeyow that was issuing from a diamond larynx. And then, there it loomed before me, a devastating horror, a cosmic diamond cat. It filled the sky, it filled all space. There was nowhere to go. It was all that was. There was no other place for me in this - *Its* universe. I felt leveled under the cruel glare of its crystalline brilliance. My mind, my body, my vestige of self-esteem perished in the hard glint of its diamond cells.
It moved in rhythmic spasms like some demonic toy; and always there was its voice - a steely, shrill monotony that put an end to hope.... The chilling thing was that I knew what it was saying! It told me that I was a wretched, pulpy, flaccid thing; a squishy-squashy worm. I was a thing of soft entrails and slimy fluids and was abhorrent to the calcified God.
 I will not have such a God! What is the antidote to this? Give me the antidote!' But as I said this I doubted my own question for it seemed to me that this was the only reality I had ever known, the one I was born with and the one I would die with. There was no future beyond this state of mind, there was no state of mind beyond this one.
'There is no antidote,' said Dr. _. 'Relax, it's only been three minutes. You've got at least twenty-five more minutes still to go.'
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Open source map and gis technologies. Map servers, caching software, web mapping clients and applications, tools and hosted platform.
Everyone is free to use or reproduce any information contained on this website. But all is provided as an example, the creator assumes no responsibility for any loss or damage caused by software and related codes.
Docker container's giving access to mapserver 6.4.1/7.0, mapcache, rok4 server, grass, fwtools ...
You will find here some map creation.
You find here pdf tutorials, first in french version.
You find here gis technological watch's.


I am Ashjan Albarqi, Communications Engineer from Gaza,Palestine, I graduated from Al-Azhar University-Gaza, I have worked as an ICT Engineer, Networks Engineer and a Lab Technician, and I also have a little experience in Web development, and I am looking forward to enhancing my coding skills.


|
BitShares-Core
6.1.0
BitShares blockchain implementation and command-line interface software
|
#include <context.hpp>
Classes | |
| struct | blocked_promise |
Public Types | |
| typedef fc::context * | ptr |
| using | context_fn = void(*)(intptr_t) |
Public Member Functions | |
| context (context_fn sf, stack_allocator &alloc, fc::thread *t) | |
| context (fc::thread *t) | |
| ~context () | |
| void | reinitialize () |
| void | add_blocking_promise (promise_base *p, bool req=true) |
| bool | try_unblock (promise_base *p) |
| void | remove_blocking_promise (promise_base *p) |
| void | timeout_blocking_promises () |
| void | set_exception_on_blocking_promises (const exception_ptr &e) |
| void | clear_blocking_promises () |
| bool | is_complete () const |
Public Attributes | |
| bco::stack_context | stack_ctx |
| bc::fcontext_t | my_context |
| fc::context * | caller_context |
| stack_allocator * | stack_alloc |
| priority | prio |
| std::vector< blocked_promise > | blocking_prom |
| time_point | resume_time |
| fc::context * | next_blocked |
| fc::context * | next_blocked_mutex |
| fc::context * | next |
| fc::thread * | ctx_thread |
| bool | canceled |
| const char * | cancellation_reason |
| bool | complete |
| task_base * | cur_task |
| uint64_t | context_posted_num |
maintains information associated with each context such as where it is blocked, what time it should resume, priority, etc.
Definition at line 47 of file context.hpp.
| using fc::context::context_fn = void(*)(intptr_t) |
Definition at line 54 of file context.hpp.
| typedef fc::context* fc::context::ptr |
Definition at line 48 of file context.hpp.
|
inline |
Definition at line 57 of file context.hpp.
|
inline |
Definition at line 77 of file context.hpp.
|
inline |
Definition at line 94 of file context.hpp.
|
inline |
| p | - the promise |
| req | - require this promise to 'unblock', otherwise try_unblock will allow it to be one of many that could 'unblock' |
Definition at line 129 of file context.hpp.
|
inline |
Definition at line 177 of file context.hpp.
|
inline |
Definition at line 181 of file context.hpp.
|
inline |
Definition at line 99 of file context.hpp.
|
inline |
Definition at line 158 of file context.hpp.
|
inline |
Definition at line 172 of file context.hpp.
|
inline |
Definition at line 167 of file context.hpp.
|
inline |
If all of the required promises and any optional promises then return true, else false.
Definition at line 143 of file context.hpp.
| std::vector<blocked_promise> fc::context::blocking_prom |
Definition at line 188 of file context.hpp.
| fc::context* fc::context::caller_context |
Definition at line 184 of file context.hpp.
| bool fc::context::canceled |
Definition at line 195 of file context.hpp.
| const char* fc::context::cancellation_reason |
Definition at line 197 of file context.hpp.
| bool fc::context::complete |
Definition at line 199 of file context.hpp.
| uint64_t fc::context::context_posted_num |
Definition at line 201 of file context.hpp.
| fc::thread* fc::context::ctx_thread |
Definition at line 194 of file context.hpp.
| task_base* fc::context::cur_task |
Definition at line 200 of file context.hpp.
| bc::fcontext_t fc::context::my_context |
Definition at line 183 of file context.hpp.
| fc::context* fc::context::next |
Definition at line 193 of file context.hpp.
| fc::context* fc::context::next_blocked |
Definition at line 191 of file context.hpp.
| fc::context* fc::context::next_blocked_mutex |
Definition at line 192 of file context.hpp.
| priority fc::context::prio |
Definition at line 186 of file context.hpp.
| time_point fc::context::resume_time |
Definition at line 189 of file context.hpp.
| stack_allocator* fc::context::stack_alloc |
Definition at line 185 of file context.hpp.
| bco::stack_context fc::context::stack_ctx |
Definition at line 49 of file context.hpp.


Pair programming is a method of collaborative programming used by Dev Bootcamp, employers, and other programs to provide better and more reliable results. It employs each person taking on a role of either Driver or Navigator. Each has different responsibilities but both are active in the process.
Pair programming is important to Dev Bootcamp because not only is it a method that will be used in our jobs after the course is over, it also instills many of the philosophies that Dev Bootcamp believes in. Pair programming builds empathy between the individuals but it also prepares them for continuous pairing with other, different people with different backgrounds.


Cowboys Star’s Tweet About The Tripping Penalty Is Going Viral
by Andrew HolleranThe Dallas Cowboys didn’t lose to the New England Patriots because of an embarrassing penalty call by the officials, but it certainly didn’t help.
Dallas was called for a ridiculous “tripping” penalty on the penultimate drive of the game. The call came on a third down conversion by the Cowboys, who were trailing 13-9 with a little more than two minutes to play. The first down was negated, Dallas was pushed back 10 yards, and Jason Garrett’s team ended up turning it over on downs.
The penalty was nothing short of terrible:
Dallas Cowboys linebacker Jaylon Smith reacted on Twitter to the penalty a couple of hours after the game.
His reaction was simple:
Unsurprisingly, Cowboys fans have already retweeted this more than 2,000 times and liked it nearly 10,000 times.
Cowboys star pass rusher DeMarcus Lawrence had a more blunt response.
“I get tripped up every time, but it’s cool. I ain’t gonna sit here and cry about it. If the refs want to call bulls—-, let them call bulls—-,” Lawrence said. “It’s all about what we do. Everybody knows it was no such thing that a foot was thrown out or anybody was tripped.”
Dallas fell to 6-5 with the loss to New England, which improved to 10-1 with the win.


PM Modi, Chancellor Merkel hold restricted meeting
The German delegation had a select group of senior functionaries.
by PTIPrime Minister Narendra Modi and German Chancellor Angela Merkel on Friday evening held a 'restricted meeting' in the presence of select ministers and officials from both the sides. National Security Advisor Ajit Doval, External Affairs Minister S Jaishankar and Foreign Secretary Vijay Gokhle attended the meeting at the prime minister's official residence from the Indian side.
The German delegation had a select group of senior functionaries.
After the meeting, the prime minister would host a dinner for Chancellor Markel.
Close
Earlier in the day, Modi and Merkel co-chaired the fifth Inter-Governmental Consultations, following which the two leaders made press statements and a raft of agreements were signed between the two sides.Special Thursday Expiry on 10th 7th Nov
Early Closure to The Great Diwali Discount. Last Chance to get Moneycontrol PRO for a year @ Rs. 289/- only
Coupon code: DIWALI


init method
Init FawryPay SDK services.
This initialize the SDK for one time only and
also can change at anytime.
Set here some parameters to configure the SDK.
Returns true
if it initialized fine.
Throws exception if not.
style
sets the style of SDK.
enableLogging
sets whether enable logs from SDK or not.
skipCustomerInput
sets whether you let user enter username and email,
or there's a default username and email. If you set it to true, then you
are required to set default username and email.
username
sets the default username if you set skipCustomerInput = true
,
it should be a phone number.
email
sets the default email if you set skipCustomerInput = true
.
Implementation
Future<bool> init({
style = Style.STYLE1,
enableLogging = false,
enableMockups = false,
skipCustomerInput = false,
String username,
String email,
}) async {
// Check if skipCustomerInput is true, but username or email is equals null.
assert(!skipCustomerInput || (skipCustomerInput && username != null && email != null),
"If skipCustomerInput is true, then you should set username and email.");
try {
return await _channel.invokeMethod(_METHOD_INIT, <String, dynamic>{
'style': style.toString(),
'enableLogging': enableLogging,
'enableMockups': enableMockups,
'skipCustomerInput': skipCustomerInput,
'username': username,
'email': email,
});
} on PlatformException catch (e) {
if (e.code == _ERROR_INIT) throw "Error Occurred: Code: $_ERROR_INIT. Message: ${e.message}. Details: SDK Init Error";
throw "Error Occurred: Code: ${e.code}. Message: ${e.message}. Details: ${e.details}";
} catch (e) {
throw "Error Occurred: Message: $e";
}
}


@* * Copyright 2017 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import models.investorDetails.InvestorDetailsModel @import views.html.helpers.backButtonWithProgress @import uk.gov.hmrc.play.views.html.helpers.{form} @(investor: InvestorDetailsModel)(implicit request: Request[_], messages: Messages) @main_template(Messages("page.investors.deleteInvestor.title", investor.investorOrNomineeModel.get.addInvestorOrNominee.toLowerCase())) { @backButtonWithProgress(controllers.eis.routes.ReviewAllInvestorsController.show().url, Messages("common.section.progress.details.four"))
@if(investor.investorNomineeDescription.isEmpty){@Messages("page.investors.deleteInvestor.confirm.noName", investor.investorOrNomineeModel.get.addInvestorOrNominee.toLowerCase())} else {@Messages("page.investors.deleteInvestor.confirm", investor.investorNomineeDescription)}
@form(action = controllers.eis.routes.DeleteInvestorController.submit(investor.processingId.get)){


Programming Club
About
mobiLEHIGH
404 - Not Found
We're sorry, but this isn't the page you're looking for.


Ninth Conference of the Parties to the UN Framework Convention on Climate Change
03-Dec-03 — original report
Sinks in the CDM: Chair Thorgeirsson noted progress on definitions and modalities on LULUCF projects under the CDM.
The EU welcomed the perceived convergence towards temporary crediting and, with TUVALU, underscored the importance of socioeconomic and environmental impact criteria.
CANADA recommended an insurance approach.
SENEGAL, BOLIVIA, BURKINA FASO and THAILAND stressed the importance of small-scale projects that benefit local communities.
BRAZIL, for the G-77/CHINA, noted a proposal submitted on socioeconomic and environmental criteria.
BOLIVIA, with INDIA and CHINA, cautioned against internationally imposed criteria conflicting with national laws.
JAPAN stressed its support for a nominal zero growth budget.
The EU underlined the importance of adequate and secure resources, and proposed that the COP consider the adoption of the Euro as the currency for future budgets.
The US reiterated its concerns regarding the structure and level of the budget and opposed the inclusion of the development costs of the Protocol in the Secretariat's core budget.
With AUSTRALIA, he called for dividing the UNFCCC and Protocol budgets.
Chair Stoycheva said a contact group chaired by John Ashe (Antigua and Barbuda) would prepare draft conclusions and a draft COP decision.
SCCF: Numerous Parties underscored adaptation, capacity building and technology transfer as priority areas for the SCCF.
The EU said the SCCF should be a catalyst for leveraging additional resources from bilateral and multilateral sources.
CHINA urged the establishment of a procedure for the replenishment of the SCCF.
Chair Stoycheva said a contact group, co-chaired by Rawleston Moore (Barbados) and Frode Neergaard (Denmark), would prepare a draft COP decision.
The GEF highlighted its initiatives on climate change.
TANZANIA, for the LDCs, urged an expedited procedure for the approval of LDC national adaptation programmes of action.
CHINA and BRAZIL sought accelerated funding of second national communications.
ALGERIA expressed concern about lack of progress and funding.
Chair Stoycheva said she would prepare a draft COP decision.
Chair Stoycheva requested Andrea Albán (Colombia) to undertake informal consultations in coordination with the relevant contact group chairs, and prepare a draft omnibus COP decision.
The G-77/CHINA, opposed by the US, called for the development of performance indicators to monitor progress in implementing relevant COP decisions.
JAPAN urged greater coordination between the GEF and UNFCCC, and several Parties highlighted the need to document best practice and lessons learned.
Chair Stoycheva said that a contact group, chaired by Dechen Tsering (Bhutan), would prepare draft conclusions and a draft COP decision.
The EU suggested that Parties include information in their national communications on obstacles to implementing Article 6.
The US highlighted the need for a country-driven focus, and CHINA called for technical and financial assistance.
Several Parties highlighted the importance of regional workshops.
Chair Stoycheva requested Markus Nauser (Switzerland) to conduct informal consultations and prepare draft conclusions and a COP decision.
UZBEKISTAN requested a COP decision to enable CACAM to receive financial support and its experts to be nominated and participate in expert groups.
Chair Stoycheva said she would conduct informal consultations on the issue.
Proposal by Croatia on LULUCF and special circumstances of Croatia: CROATIA stressed the importance of resolving the issue of its special circumstances under UNFCCC Article 4.6 (special circumstances of EITs) and called for the continuation of informal negotiations on the issue.
BOSNIA AND HERZEGOVINA and SERBIA AND MONTENEGRO said that the Croatian emissions estimates and projections are based on emissions not originating in Croatia's territory.
CROATIA pointed to new emissions estimates and projections that do not include emissions from neighboring countries, noting that the concerns of Bosnia and Herzegovina and Serbia and Montenegro are no longer relevant.
Chair Stoycheva said Jim Penman (UK) would undertake informal consultations.
The Secretariat said 36 Annex I Parties have submitted national communications.
Parties took note of this agenda item.
On a proposal by Belarus to use 1990 as its base-year, the EU said only COP/MOP has authority to decide on the issue.
He sought clarification on the proposal, as the new base-year would imply a large quantity of hot air.
Chair Stoycheva said she would prepare draft conclusions on the issue.
The IPCC presented its relevant work, including a report on Good Practice Guidance (GPG) for LULUCF and work on factoring out direct human- induced changes in carbon stocks from indirect human-induced and natural effects, and noted difficulties in providing a practical methodology for factoring out for a broad range of LULUCF activities.
TUVALU, for AOSIS, stressed the need for consultation with national experts.
The US said the IPCC should not be engaged further in GPG as current scientific knowledge is insufficient to develop comprehensive methodologies.
Chair Thorgeirsson said Margaret Mukahanana-Sangarwe (Zimbabwe) and Audun Rosland (Norway) will co-chair a contact group to develop conclusions on the GPG.
Consideration of the fifth compilation and synthesis of initial national communications: The US said the document on steps taken by non-Annex I Parties to reduce emissions does not respond appropriately to the relevant requests made by COP-8 and SBI-18.
Chair Stoycheva recalled that a contact group chaired by S.N.
Sok Appadu (Mauritius) would consider this issue.
Matters relating to LDCs: La'avasa Malua (Samoa), Chair of the LDC Expert Group (LEG), outlined outcomes of the LEG's activities, noting that many LDC stakeholders have expressed the need for longer-term support.
Richard Muyungi (Tanzania), Chair of the LDCs, said implementation of the LDC work programme has begun, but numerous elements of the programme remain incomplete.
BANGLEDESH, with the EU and CANADA, supported the extension of the LEG's mandate, and, with CANADA, highlighted complimentarity between the LDC Fund and the SCCF.
Chair Stoycheva said Mamadou Honadia (Burkina Faso) and José Romero (Switzerland) will facilitate informal consultations on this matter and prepare a draft COP-9 decision.
This contact group, co-chaired by Jim Penman and Brian Challenger (Antigua and Barbuda) addressed elements of a possible future work programme.
Co-Chair Penman suggested distilling the essence of proposed new elements and reducing overlaps.
SAUDI ARABIA, opposed by the US, said proposals based on current and planned activities should also be discussed.
The EU recommended rationalizing the proposals and preparing a draft decision.
The US said work is only at the information stage and voiced concerns about duplicating work.
NEW ZEALAND urged a strategic approach.
On a proposal for a data interface, AUSTRALIA suggested initiating a pilot phase.
The G-77/CHINA said limited resources require selection of priorities and MALAYSIA urged consideration of capacity building.
On examination of proposed new elements, the G-77/CHINA, opposed by CANADA and the US, supported clustering items.
Affected by an apparently smooth second day of meetings, and possibly still disoriented by the labyrinth-like Fiera conference halls, it appeared that some participants were sleepwalking this afternoon.
The quiet atmosphere may, however, only be the calm before the storm.
Although the winds outwardly appear to have been blowing favorably for the LULUCF negotiations so far, it remains to be seen how delegates will react when confronted with the many draft decisions that will be developed over the next few days.
Chair Thorgeirsson introduced a technical paper on estimation, harvesting and accounting of harvested wood products.
The US suggested that Parties distinguish between exporting and importing in their reporting, while TUVALU, for AOSIS, cautioned against approaches not accounting for products harvested in developing countries and transferred to developed countries.
Parties agreed that this is an issue for the second commitment period and to consider this at SBSTA-20.
Reporting on pre-sessional consultations on registries, Murray Ward (New Zealand) emphasized the importance of cooperation between administrators of registries and of the transaction log.
The Secretariat presented the UNFCCC technology information clearing house (TT:CLEAR).
William Kojo Agyemang-Bonsu, EGTT Chair, presented results of the recent EGTT meetings, including its proposed work programme for 2004.
MALAYSIA, for the G-77/China, said developed countries have taken insufficient steps in developing enabling environments, and expressed concern at the EGTT's limited financial resources.
BELIZE proposed the establishment of a 'technology development expert group.
' CANADA emphasized partnerships between governments and the private sector.
Chair Thorgeirsson said Terry Carrington (UK) and Kishan Kumarsingh (Trinidad & Tobago) would co-chair a contact group.
The EU urged Parties to submit reports to the Secretariat on demonstrable progress and asked SBSTA to identify priority activities and develop a work programme on good practices.
SBSTA agreed that Richard Muyungi (Tanzania) and Greg Terrill (Australia) would conduct informal consultations.
The Global Climate Observing System (GCOS) emphasized steps to initiate an implementation plan and the establishment of a GCOS Cooperation Mechanism to improve global observing systems in developing countries.
URUGUAY and BANGLADESH highlighted the usefulness of regional cooperation, and AUSTRALIA called for national efforts in climate observing systems.
SAUDI ARABIA urged advances in modeling impacts of response measures.
The COOK ISLANDS, for AOSIS, underscored the need for financial and technical resources.
The EU and SWITZERLAND emphasized the importance of historical data sets.
Chair Thorgeirsson said Sue Barrell (Australia) and Philip Gwage (Uganda) would chair a contact group.
The CBD outlined relevant outcomes of the ninth meeting of its Subsidiary Body on Scientific, Technical and Technological Advice, and presented key findings of the report of its Ad Hoc Technical Expert Group on biological diversity and climate change.
The CCD said its recent COP-6 adopted a decision encouraging the Joint Liaison Group to identify further areas of joint activities. The IPCC said the deadline for nominating experts to contribute to the Fourth Assessment Report is 20 January 2004.
The UN Inter- Agency Secretariat for the International Strategy for Disaster Reduction outlined its work on mainstreaming climate change adaptation into disaster reduction strategies.
TUVALU, with the EU, NEPAL and SWITZERLAND stressed the importance of cooperation with other conventions regarding LULUCF activities.
Interim financial performance: SWITZERLAND noted concern over the high reliance on voluntary contributions to priority activities in the core budget.


---
layout: post
title: World News Blog - The elephant in the Tripoli hotel room
date: '2011-03-18T19:22:31-07:00'
tags:
tumblr_url: http://alexhwilliams.tumblr.com/post/3951690587/world-news-blog-the-elephant-in-the-tripoli-hotel
---
World News Blog - The elephant in the Tripoli hotel room
Good read. Wow. Called to a government press conference one hour after the “no fly zone,” passes the UN.


#include <drake/attic/multibody/shapes/geometry.h>
◆ TriangulatePolicy
Specification of how the Mesh should process faces during parsing.
| Enumerator |
|---|
| kFailOnNonTri | Non-triangular faces cause an exception to be thrown.
|
| kTry | The parser will attempt to triangulate non-triangular faces, throwing an exception if the attempt fails.
|
◆ Mesh()
| Mesh |
( |
const std::string & |
uri, |
|
|
const std::string & |
resolved_filename |
|
) |
| |
Constructs a representation of a mesh to be loaded from resolved_filename
.
uri
provides a unique identifier used to interact with BotVisualizer.
◆ ~Mesh()
◆ clone()
◆ extractMeshVertices()
| bool extractMeshVertices |
( |
Eigen::Matrix3Xd & |
vertex_coordinates | ) |
const |
◆ getBoundingBoxPoints()
| void getBoundingBoxPoints |
( |
Eigen::Matrix3Xd & |
points | ) |
const |
|
overridevirtual |
◆ getFaces()
Returns the faces making up this geometry as a vector of triangles.
Each triangle contains three indices into the vertex list returned by the Geometry getPoints() method.
- Parameters
-
| [out] | faces | Returns a vector of triangles describing this geometry. |
Reimplemented from Geometry.
◆ getPoints()
| void getPoints |
( |
Eigen::Matrix3Xd & |
points | ) |
const |
|
overridevirtual |
◆ hasFaces()
- Returns
true
if this geometry can return faces.
Reimplemented from Geometry.
◆ LoadObjFile()
Loads triangle mesh from an obj file into the provided vectors of vertices and triangles.
This method can optionally attempt to triangulate the mesh as it is read. This triangulation is conservative. Non-triangular faces are decomposed into a set of equivalent triangles. It places certain requirements on the mesh for the triangulation to be valid. If these requirements are not met, an exception is thrown. These requirements are:
- Non-triangular faces cannot contain a sequence of co-linear vertices.
- Non-triangular faces must be close to planar; the decomposed triangles normals can deviate by no more than 30 degrees from their edge-adjacent neighbors.
- Decomposed triangles must have an area larger than 10⁻¹⁰ m².
- Note
- The triangulation method is simple. Even if these requirements are met, triangulation might fail.
- Parameters
-
| [out] | vertices | Vector of 3D vertices in the mesh. |
| [out] | triangles | Vector of indices for each triangle in the mesh. The i-th entry of triangles holds a 3D vector of integer indices into vertices corresponding to the vertices forming the i-th triangle. |
| [in] | triangulate | Specifies the triangulation policy. |
On output, vertices.size()
corresponds to the number of vertices in the mesh while triangles.size()
corresponds to the number of triangles in the mesh.
◆ operator<<
| std::ostream& operator<< |
( |
std::ostream & |
out, |
|
|
const Mesh & |
mm |
|
) |
| |
|
friend |
A toString method for this class.
◆ resolved_filename_
| std::string resolved_filename_ |
◆ scale_
◆ uri_
The documentation for this class was generated from the following files:


{% extends "base.html" %} {% block base_body %}
futurecoder
!This is a free open source platform/course for complete beginners to teach themselves programming, specifically in Python.
This site is currently only ready for demonstration, not large scale usage. So don't start sharing it with everyone who wants to learn to code. It's hosted on free, minimal infrastructure that can't handle a lot of load.
If you'd like to be updated when the site is ready, enter your email below:
{% load crispy_forms_tags %} {% include "messages.html" %}But please share this with people who are interested in providing free education and contributing to open source software! Learn more about the project in the GitHub code repository.


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|
| int | ViewCount [get, set] |
| | The count of how many times the video attached to this Tweet has been viewed. This is the number of video views aggregated across all Tweets in which the given video has been posted. That means that the metric includes the combined views from any instance where the video has been Retweeted or reposted in separate Tweets. This returns the total count of video views from both organic and paid contexts, in order to maintain consistency with the counts shown publicly on Twitter. More...
|
| |
◆ ViewCount
| int CoreTweet.V2.MediaPublicMetrics.ViewCount |
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getset |
The count of how many times the video attached to this Tweet has been viewed. This is the number of video views aggregated across all Tweets in which the given video has been posted. That means that the metric includes the combined views from any instance where the video has been Retweeted or reposted in separate Tweets. This returns the total count of video views from both organic and paid contexts, in order to maintain consistency with the counts shown publicly on Twitter.
The documentation for this class was generated from the following file: