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self.data
.
scikits.learn.linear_model.bayes.ARDRegression
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Fit the weights of a regression model, using an ARD prior. The weights of
the regression model are assumed to be in Gaussian distributions.
Also estimate the parameters lambda (precisions of the distributions of the
weights) and alpha (precision of the distribution of the noise).
The estimation is done by an iterative procedures (Evidence Maximization)
scikits.learn.linear_model.bayes.BayesianRidge
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Fit a Bayesian ridge model and optimize the regularization parameters
lambda (precision of the weights) and alpha (precision of the noise).
scikits.learn.preprocessing.sparse.Binarizer
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
scikits.learn.feature_extraction.text.CountVectorizer
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
This implementation produces a sparse representation of the counts using
scipy.sparse.coo_matrix.
scikits.learn.linear_model.coordinate_descent.ElasticNetCV
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
The best model is selected by cross-validation.
scikits.learn.decomposition.fastica_.FastICA
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.hmm.GMMHMM
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Attributes
scikits.learn.mixture.GMM
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Representation of a Gaussian mixture model probability distribution.
This class allows for easy evaluation of, sampling from, and
maximum-likelihood estimation of the parameters of a GMM distribution.
scikits.learn.hmm.GaussianHMM
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Representation of a hidden Markov model probability distribution.
This class allows for easy evaluation of, sampling from, and
maximum-likelihood estimation of the parameters of a HMM.
scikits.learn.gaussian_process.gaussian_process.GaussianProcess
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.preprocessing.KernelCenterer
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
scikits.learn.linear_model.least_angle.LARS
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.preprocessing.LabelBinarizer
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Several regression and binary classification algorithms are available in the
scikit. A simple way to extend these algorithms to the multi-class
classification case is to use the so-called one-vs-all scheme.
scikits.learn.linear_model.coordinate_descent.LassoCV
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
The best model is selected by cross-validation.
scikits.learn.linear_model.least_angle.LassoLARS
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
It is a Linear Model trained with an L1 prior as regularizer.
lasso).
scikits.learn.linear_model.coordinate_descent.Lasso
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Technically the Lasso model is optimizing the same objective function as
the Elastic Net with rho=1.0 (no L2 penalty).
scikits.learn.linear_model.coordinate_descent.LinearModelCV
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
scikits.learn.linear_model.base.LinearRegression
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Attributes
scikits.learn.hmm.MultinomialHMM
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Attributes
scikits.learn.preprocessing.Normalizer
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
scikits.learn.svm.classes.OneClassSVM
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Estimate the support of a high-dimensional distribution.
scikits.learn.feature_selection.rfe.RFECV
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.feature_selection.rfe.RFE
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.linear_model.ridge.RidgeCV
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
By default, it performs Generalized Cross-Validation, which is a form of
efficient Leave-One-Out cross-validation. Currently, only the n_features >
n_samples case is handled efficiently.
scikits.learn.linear_model.ridge.RidgeClassifier
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.linear_model.ridge.Ridge
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.linear_model.sparse.stochastic_gradient.SGDRegressor
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
SGD stands for Stochastic Gradient Descent: the gradient of the loss is
estimated each sample at a time and the model is updated along the way with
a decreasing strength schedule (aka learning rate).
scikits.learn.svm.classes.SVR
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
The free parameters in the model are C and epsilon.
scikits.learn.preprocessing.Scaler
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
It centers the dataset and optionaly scales to fix the variance to 1 for
each feature
scikits.learn.feature_selection.univariate_selection.SelectFdr
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
scikits.learn.feature_selection.univariate_selection.SelectFpr
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
scikits.learn.feature_selection.univariate_selection.SelectFwe
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
scikits.learn.feature_selection.univariate_selection.SelectKBest
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
scikits.learn.feature_selection.univariate_selection.SelectPercentile
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
scikits.learn.feature_extraction.text.TfidfTransformer
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
TF means term-frequency while TF-IDF means term-frequency times inverse
document-frequency:
scikits.learn.feature_extraction.text.Vectorizer
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Equivalent to CountVectorizer followed by TfidfTransformer.
scikits.learn.cluster.hierarchical.WardAgglomeration
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.naive_bayes.GNB
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.lda.LDA
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.svm.sparse.classes.LinearSVC
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Similar to SVC with parameter kernel='linear', but uses internally
liblinear rather than libsvm, so it has more flexibility in the
choice of penalties and loss functions and should be faster for
huge datasets.
scikits.learn.linear_model.logistic.LogisticRegression
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Implements L1 and L2 regularized logistic regression.
scikits.learn.neighbors.NeighborsClassifier
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.neighbors.NeighborsRegressor
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
The target is predicted by local interpolation of the targets
associated of the k-Nearest Neighbors in the training set.
scikits.learn.qda.QDA
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.svm.classes.SVC
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
b_j
so that the linear combination
y_i = b_0 + b_1 x_1 + ... b_N x_N
, for i = 1 ... M
, minimizes
the sum of squared error given the training x
's and y
's.
output_dim == input_dim
.
output_dim == input_dim
.
scikits.learn.naive_bayes.GNB
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.lda.LDA
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.svm.sparse.classes.LinearSVC
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Similar to SVC with parameter kernel='linear', but uses internally
liblinear rather than libsvm, so it has more flexibility in the
choice of penalties and loss functions and should be faster for
huge datasets.
scikits.learn.linear_model.logistic.LogisticRegression
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Implements L1 and L2 regularized logistic regression.
scikits.learn.neighbors.NeighborsClassifier
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.neighbors.NeighborsRegressor
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
The target is predicted by local interpolation of the targets
associated of the k-Nearest Neighbors in the training set.
scikits.learn.qda.QDA
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
scikits.learn.svm.classes.SVC
class
from the sklearn
library. The wrapped instance can be accessed
through the scikits_alg
attribute.
Parameters
1
if the sum of the data points
is positive and as -1
if the data point is negative.
n
local maxima and minima of the training signal
which are separated by a minimum gap d
.
output_dim == input_dim
.
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Angular Corporate UI Demo
This is a demopage using AngularJS togheter with Corporate UI. Populating the main navigation can be solved in meny differnet ways and this is a very basic sample. It is not intended to use "as is" rather than to give you ideas and samples of how to pair Corporate UI with the framework of your choice. Use Scania Bootstrap to apply the Scania Brand Identity to your application.
Learn why you shouldn't include Corporate UI in your build rather than fetch it from the Scania CDN in real time.
Download this template


Getting started with deck.js:
step extension
use right arrow to move on
Nested deck.js slides
- Not an extension (in core deck.js)
- Just have an element with the “slide” class…
- … and it will appear (hit the right arrow now)
- Hey! I appeared! (go on)
- The gray-ish style is part of the theme
Why the step extension?
-
Nested slides
are cool
and useful
- But there is a problem
-
Navigating
is
annoying
with
nesting
!!!
- Example:
Try using the left arrow to go back to previous slide
- Probably annoying!?
- Now try hitting the up arrow
- More on the next slide…
The “step” extension
- Adds new key shortcuts
- up arrow: previous top level slide
- down arrow: next top level slide
More “step”
- Other stuff… not visible
- Defaults to not counting nested slides
(if you use the status extension)
- Add notifications events to nested slides when the parent gets activated (for animations)
- (The title ends in "21", see why in the source)
/


4.7. Type Factory FunctionsSince Python 2.2 with the unification of types and classes, all of the built-in types are now classes, and with that, all of the "conversion" built-in functions like int(), type(), list(), etc., are now factory functions. This means that although they look and act somewhat like functions, they are actually class names, and when you call one, you are actually instantiating an instance of that type, like a factory producing a good.
The following familiar factory functions were formerly built-in functions:
Other types that did not have factory functions now do. In addition, factory functions have been added for completely new types that support the new-style classes. The following is a list of both types of factory functions:
|


Hello students,
hope you enjoy your Machine Learning journey so far.
In the previous section, we used the powerful H2O package in R to build an ANN for a Business Problem.
If you use H2O to build a CNN for Computer Vision, H2O comes with a framework called Deep Water.
However, this Deep Water framework is still in early stage, and its final version hasn't be released yet. It is preferable to wait for this final version before making some tutorials about CNN in R. Therefore I will directly move on to the last two parts of this course, Part 9 - Dimensionality Reduction and Part 10 - k-Fold Cross Validation, Gradient Boosting & XGBoost. Then I will go back to this Deep Water framework as soon as it is ready.
However, it would be extremely good practice for you to already play around with this Deep Water framework. If interested, you will find all the informations you need on this link.
In conclusion, if you want to build CNN models for Computer Vision, I would recommend to use Python. R is an amazing programming language for highly advanced statistics, but when it comes to Deep Learning for Computer Vision, Python is more mature.
Best regards,
Hadelin
Links of this article:
When will Deep Water be released for it's final version?


Appointment Type
Appointment Type *
Appointment Type
Sick Visit
9 months Well Visit
1 year Well Visit
15 months Well Visit
18 months Well Visit
Physician
Physician
Physician
Any
Dr. Jim
Dr. Wixler
Anya
Jada
Date
Time of Day
Time of Day
Time of Day
Any
Morning
Afternoon
Evening
Find Appointments
Find Appointments


During this introductory course you will learn to program in Java and create an Object-Oriented design. We use IntelliJ Idea IDE as development platform.
A first glance at the language, how to code and comment it, a definition of OO, and what strongly typed means
Getting to know the syntax: Data types, operators, flow control and methods.
Java collections and the Collections class, sorting objects, file IO and a bit of regex. A first meet with interfaces.
Class design, Inheritance, Object construction, Access modifiers, Class Object, Interfaces (again), abstract classes and enums
extending OO design concepts with polymorphism, datamodel design. Packages
Clone the repo, and work on the assignments in branch WithoutSolutions. When you are done, run the test class to find out how you have done. If you are really stuck, you can check out branch 'master' to see the solutions. (In IntelliJ via, VCS -> git -> Branches).


|
cppkafka
0.2
|
Thin wrapper over a rdkafka message handle. More...
#include <message.h>
Public Types | |
| using | InternalPtr = std::shared_ptr< Internal > |
Public Member Functions | |
| Message () | |
| Message (rd_kafka_message_t *handle) | |
| Constructs a message from a handle. More... | |
| Message (const Message &)=delete | |
| Message (Message &&rhs)=default | |
| Message & | operator= (const Message &)=delete |
| Message & | operator= (Message &&rhs)=default |
| Error | get_error () const |
| Gets the error attribute. | |
| bool | is_eof () const |
| Utility function to check for get_error() == RD_KAFKA_RESP_ERR__PARTITION_EOF. | |
| std::string | get_topic () const |
| Gets the topic that this message belongs to. | |
| int | get_partition () const |
| Gets the partition that this message belongs to. | |
| const Buffer & | get_payload () const |
| Gets the message's payload. | |
| const Buffer & | get_key () const |
| Gets the message's key. | |
| int64_t | get_offset () const |
| Gets the message offset. | |
| void * | get_user_data () const |
| Gets the private user data. More... | |
| boost::optional< MessageTimestamp > | get_timestamp () const |
| Gets this Message's timestamp. More... | |
| operator bool () const | |
| Indicates whether this message is valid (not null) | |
| rd_kafka_message_t * | get_handle () const |
| Gets the rdkafka message handle. | |
| InternalPtr | internal () const |
| Internal private const data accessor (internal use only) | |
Static Public Member Functions | |
| static Message | make_non_owning (rd_kafka_message_t *handle) |
Friends | |
| class | MessageInternal |
Thin wrapper over a rdkafka message handle.
This is a non copyable, movable class that wraps a rd_kafka_message_t*.
Messages can be empty (contain a null rd_kafka_message_t*). Therefore, users must check that the message isn't empty by using the operator bool() before using them. This is especially necessary when calling Consumer::poll() as any poll operation that returns a null pointer will return an empty message.
| cppkafka::Message::Message | ( | ) |
Constructs an empty message
| cppkafka::Message::Message | ( | rd_kafka_message_t * | handle | ) |
Constructs a message from a handle.
The constructed message instance will own the given pointer, calling rd_kafka_message_destroy upon destruction.
| handle | The message handle to be wrapped |
| boost::optional< MessageTimestamp > cppkafka::Message::get_timestamp | ( | ) | const |
Gets this Message's timestamp.
If calling rd_kafka_message_timestamp returns -1, then boost::none_t will be returned.
|
inline |
Gets the private user data.
This should only be used on messages produced by a Producer that were set a private data attribute
|
static |
Constructs a message that won't take ownership of the given pointer


[viewBag] title = "Marketing section" ==
|
Head of department: |
Rakhimov Sanjar Mukhammadovich |
| Reception days: | Monday to Saturday from 14:00 to 17:00 |
|
Graduated: |
Uzbekistan National University named after Mirzo Ulugbek, 2008 |
| Phone: |
|
| Faks: |
|
| e-mail: |<EMAIL_ADDRESS>|
Marketing service department functions
To establish new educational specialties taking into account the development perspectives of the economy and social sectors of the country and the relevant regions, as well as to analyze proposals for stopping specialty which does not suit to requirements and to submit to pertinent departments of the Ministry.
To study the conquest of the labor market. In order to identify students’ acceptance indicators, to form current and perspective order portfolio for “State grants and contractual agreements” taking into account existing educational trends and requirements to specialists.
To create the database about the new academic year (State grants and acceptance plan of contractual agreements, applications, number and levels of applied students, distribution of specialties, the languages of teaching).
To cooperate with the relevant department (sections) of the Institute (various scientific methodological councils, teaching- methodological sections, faculties, departments, etc.) to improve the professional skills of students in bachelor’s degree and master’s degree and to analyze the effectiveness of measures done by them and to participate in evaluation, to co-ordinate the activities of all relevant units in marketing departments.
To formalize contracts with companies, institutions, organizations and individuals for the training of specialists.
To establish the commission for the job division of the institute graduates. The Resolution of the President of the Republic of Uzbekistan of June 2, 2005 № PQ-92 “On admission to educational Institute of the Republic of Uzbekistan in 2005-2006 academic years” The graduates of institute are required to work for at least 3 years. To implement on time and control the graduates’ responsibilities for educational institutions, enterprises and organizations. To prepare final distribution of graduates’ work allocation plans according to the real needs of employers’ organizations and enterprises by the Distribution Commission and to draw up and to summarize their personal distribution reports.
To carry out international marketing contracts, to sign contracts with international universities on cooperation. To establish practical training in enterprises and organizations cooperating with foreign countries.
To prepare information on the number of students paying on contractual basis (on the basis of work plan, together with the personnel section).
To establish the database on the basis of studying of the needs of enterprises, institutions and organizations by faculties, chairs and administration, to highly qualified personnel prepared in the institute.
To submit documents of on the organization of the republican database of graduates employment to the Ministry of Higher and Secondary Special Education (in coordination with the administration).
To examine and solve applications’ job placement requirements and contractual requirements for students who are sent to work.
To provide with further information on future workplaces, organize job fairs for graduate students.
To prepare information about job placement of graduates of last year.


Watching for file changes with "FAKE - F# Make"
FAKE makes it easy to setup monitoring for filesystem changes. Using the standard glob patterns you can watch for changes, and automatticly run a function or another target.
Using WatchChanges
Add a new target named "Watch" to your build:
1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: |
Target "GenerateDocs" (fun _ -> tracefn "Generating docs." ) Target "Watch" (fun _ -> use watcher = !! "docs/**/*.*" |> WatchChanges (fun changes -> tracefn "%A" changes Run "GenerateDocs" ) System.Console.ReadLine() |> ignore //Needed to keep FAKE from exiting watcher.Dispose() // Use to stop the watch from elsewhere, ie another task. ) |
Now run build.fsx and make some changes to the docs directory. They should be printed out to the console as they happen, and the GenerateDocs target should be rerun.
If you need to watch only a subset of the files, say you want to rerun tests as soon as the compiled dlls change:
1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: |
Target "RunTests" (fun _ -> tracefn "Running tests." ) Target "Watch" (fun _ -> use watcher = !! "tests/**/bin/debug/*.dll" |> WatchChanges (fun changes -> tracefn "%A" changes Run "RunTests" ) System.Console.ReadLine() |> ignore //Needed to keep FAKE from exiting watcher.Dispose() // Use to stop the watch from elsewhere, ie another task. ) |
namespace System
type Console =
static member BackgroundColor : ConsoleColor with get, set
static member Beep : unit -> unit + 1 overload
static member BufferHeight : int with get, set
static member BufferWidth : int with get, set
static member CapsLock : bool
static member Clear : unit -> unit
static member CursorLeft : int with get, set
static member CursorSize : int with get, set
static member CursorTop : int with get, set
static member CursorVisible : bool with get, set
...
Full name: System.Console
static member BackgroundColor : ConsoleColor with get, set
static member Beep : unit -> unit + 1 overload
static member BufferHeight : int with get, set
static member BufferWidth : int with get, set
static member CapsLock : bool
static member Clear : unit -> unit
static member CursorLeft : int with get, set
static member CursorSize : int with get, set
static member CursorTop : int with get, set
static member CursorVisible : bool with get, set
...
Full name: System.Console
System.Console.ReadLine() : string
val ignore : value:'T -> unit
Full name: Microsoft.FSharp.Core.Operators.ignore
Full name: Microsoft.FSharp.Core.Operators.ignore


In some settings measurements and tests in different conditions may be correlated with one another. For example, in eQTL applications this can occur due to sample overlap among the different conditions.
Failure to deal with such correlations can cause false positives in a mashr
analysis.
To deal with these correlations mashr
allows the user to specify a correlation matrix \(V\) when setting up the data in mash_set_data
. The easiest way to specify this correlation matrix is to estimate it using estimate_null_correlation_simple
, which, as its name suggests, uses the null tests (specifically, tests without a strong \(z\) score) to estimate the correlations.
Here we simulate data for illustration. The data does not have any correlation, but we will analyze it as if we did not know that.
library(ashr)
library(mashr)
set.seed(1)
simdata = simple_sims(500,5,1)
Read in the data, and estimate correlations:
data = mash_set_data(simdata$Bhat, simdata$Shat)
V = estimate_null_correlation_simple(data)
data.V = mash_update_data(data, V=V)
Now we have two mash data objects, one (data.V
) with correlations specified, and one without (data
). So analyses using data.V
will allow for correlations, whereas analyses using data
will assume measurements are independent.
Here, for illustration purposes, we proceed to analyze the data with correlations, using just the simple canonical covariances as in the initial introductory vignette.
U.c = cov_canonical(data.V)
m.c = mash(data.V, U.c) # fits with correlations because data.V includes correlation information
# - Computing 2000 x 151 likelihood matrix.
# - Likelihood calculations took 0.06 seconds.
# - Fitting model with 151 mixture components.
# - Model fitting took 164.38 seconds.
# - Computing posterior matrices.
# - Computation allocated took 0.11 seconds.
print(get_loglik(m.c),digits=10) # log-likelihood of the fit with correlations set to V
# [1] -16194.30927
We can also compare with the original analysis. (Note that the canonical covariances do not depend on the correlations, so we can use the same U.c
here for both analyses. If we used data-driven covariances we might prefer to estimate these separately for each analysis as the correlations would affect them.)
m.c.orig = mash(data, U.c) # fits without correlations because data object was set up without correlations
# - Computing 2000 x 151 likelihood matrix.
# - Likelihood calculations took 0.13 seconds.
# - Fitting model with 151 mixture components.
# - Model fitting took 155.00 seconds.
# - Computing posterior matrices.
# - Computation allocated took 0.14 seconds.
print(get_loglik(m.c.orig),digits=10)
# [1] -16192.61816
The log-likelihoods with and without correlations are similar here, which is expected since there are no actual correlations in the data.


What if after the conference call ended it asked everyone if they thought it should have been an email instead —@TatianaTMac


Based on your answers, , it seems like JavaScript would be the best programming language to study if you selected designer. Ruby would be the route to take if you selected builder. C sharp would be the best option if you selected both. In regards to your relationship with technology, if you selected "it's complicated", then C sharp is the perfect match. If you selected "we keep it casual" then JavaScript would be your best partner.


Last Night (1999) Reviewed by Eugene Novikov http://www.ultimate-movie.com/ Member: Online Film Critics Society
Starring Don McKellar, Sandra Oh, David Cronenberg. Directed by Don McKellar. Rated R.
The end of the world is here, but in Canadian director Don McKellar's feature debut Last Night, there are no Satans, no comets, no astronauts and no heroes (well, in the traditional sense of the word). It's a thoughtful, affecting film, one that pulls no punches and plays no tricks. This isn't an f/x production and those expecting action would do well to stay away; this is for those who would like a quiet apocalyptic vision for a change. This is not about the end of the world as a concept -- we never find out why the world is ending or how everyone knows it's ending -- but about how real, normal people deal with it and what they do in the last six hours of their lives.
McKellar, who wrote The Red Violin for François Girard, casts himself here as Patrick Wheeler, an average, reasonably happy man (though his previous wife died of cancer) who has decided that he wants to spend his last six hours at home alone, quietly. His parents are pissy that he doesn't want to spend the time with his family -- but family dinners can be boring even on the last day of your life, and Patrick has no intention of putting himself through it. He is adamant that these hours will be his.
But along comes Sandra (Sandra Oh), who has lost her car to doomsday raiders (read: those who want to take advantage of the apocalypse to commit no-consequence crimes, thereby letting their anger out) and is looking for her husband, who seems to have disappeared. She comes to Patrick's door in desperation, begging to use his phone, not knowing where else to go. He reluctantly lets her in. Her husband doesn't answer. They start talking. Patrick soon finds out why she is so desperate to find her husband and what is in that mysterious case she is carrying: she and her hubby made a pact to shoot each other right before the world ends.
In a seemingly unrelated plot line, a gas company employee spends his last hours calling each of his customers assuring them that he will "make every effort to keep their gas flowing right up until the end."
Last Night has more than its share of humor and it's even being marketed as half-comedic, when in fact, it epitomizes poignancy. This lies in the characters. David Cronenberg's gas company employee is one of the year's saddest, most touching characters; even more impressive considering how little screen time he was granted. Sandra Oh's Sandra is devastating as a woman who refuses to let the world take her life. Patrick seems to be the only content character on screen, but even he has undertones of sadness. The movie isn't a weep-fest or a melodrama because it's too good for either genre and because it ends with a decisive touch of hope and redemption.
The sex-fantasy subplot may be a bit too "out there" for a film otherwise so subdued that even I felt like screaming "BIG BANG!" at the screen sometimes. But it tends to balance out well and I can't call the film uneven. Actually, it's quite the opposite: most of the movie is hypnotic in its relentless stability and calmness. The antidote to End of Days, Last Night is the patient person's Armageddon.
The key to the movie is that we don't know how or why the world is ending. The only information we are given is that for the past few weeks (months?), the sun has stayed up 24/7, the cell phones haven't worked and the government has closed up shop. No explanation is ever provided. This maybe frustrating to some -- even I admit to wanting something concrete at points -- but it is the reason this movie succeeds. Providing an answer to logistical questions would have diverted attention from the movie's main focus, which is hardly the end of the world in and of itself.
McKellar's directorial debut is entertaining, deeply moving, dignified and the all-important ending is just perfect. Seeing Last Night the same week as End of Days made me realize how important it is to be able to see films produced outside of the American Hollywood movie-mill, especially those from north of the border.
Grade: A-
©1999 Eugene Novikov
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STUART LITTLE ***1/2 (out of five stars) A review by Jamey Hughton
Starring-Geena Davis, Hugh Laurie, Jonathan Lipnicki, voices of Michael J. Fox, Nathan Lane and Steve Zahn Director-Rob Minkoff Rated G Columbia Pictures
MOVIE VIEWS by Jamey Hughton http://Welcome.to/MovieViews
It's phenomenal how much F/X work has been dedicated to making the title character of `Stuart Little' a realistic screen presence. Stuart, an orphaned mouse with an entire wardrobe of CGI clothing, is so convincing as a walking, talking entity that we tend to forget he's merely an elaborate special effect. `Stuart Little' is one for the kids, but at a time like Christmas, it will easily function as agreeable entertainment for the entire family.
Heading into the Christmas holidays, there are two family features opening at your local cinema: this live action adaptation of E.B. White's cherished children's novel, and the Robin Williams android comedy `Bicentennial Man'. While `Bicentennial Man' offers some thought, this charming tale has more of the proper ingredients to serve as a crowd-pleaser for all ages. With director Rob Minkoff (`The Lion King') behind the wheel, `Stuart Little' is chock-full of talking rodents and frantic felines, all weaving their way through cute situations that the kids will be enthralled by. But there is fun for the adult group, too, in spotting the voice talents of various Hollywood stars. Listen for Nathan Lane, Steve Zahn, Chazz Palminteri, Jennifer Tilly, and Michael J. Fox as the little man himself.
Mr.  The sight of the undisciplined hooligans running around and screaming at the orphanage, however, brings them to an alternate decision: they will adopt a mouse instead. Stuart is excited to become part of the Little family, but their son George (Johathan Lipnicki) has trouble accepting a mouse as a younger brother. This problem is fairly understandable. Meanwhile, Stuart must ward off the vile and villainous kitty Snowbell (voice of Nathan Lane), who seems intent on getting rid of the little fella before the next family photo. For the most part, the human actors play second fiddle to the animal characters. But I found this move acceptable, particularly given the performance of Lane, who is wonderfully vibrant as the demure but dastardly Snowbell.
Michael J. Fox is perfect for the bashful suitings of Stuart, deriving certain emotions out of the character to a degree that few other actors could match. The special effects work for the talking cats (which resembles the F/X from `Babe') is seamless and enjoyable, but the spotlight here is definitely on the awe-inspiring creation of Stuart Little himself. The wonderful visual effects go behind the call of duty with convincing the audience that Stuart is actually just a miniature actor. The blending of computer animation and live action is consistently excellent, particularly in a miraculous boat race sequence that is executed in perfect perspective. And Stuart has his own little car, of course. Like I say, this is one for the kids.
Not that adults can't laugh along too. The screenplay is, oddly enough, co-written none other than M. Night Shyamalan - the brilliant mind behind the huge blockbuster hit `The Sixth Sense'. The story Stuart is pitted into is nothing special, but there are some clever nuggets of humor for the parental units as well. I hate to admit it, but I have never read the novel `Stuart Little', despite it's obvious favor among the Grade 2 crowd. I know, shame on me. I can see the possibility of certain fans of the book being disappointed with the film, which contains a glowing heart but really never elevates itself past the elementary level of cute talking animals. Nonetheless, kids of all ages are bound to be taken by the charming story of `Stuart Little', and it's harmless nature is almost guaranteed to please adults as well.
And that is why I commend this family outing. There is nothing spectacular about the way it is structured, but `Stuart Little' is succeeds on the level of innocent entertainment. It's the cream of the Holiday crop, with a title character who is easily the most welcome special effect of the entire year.
(C)1999, Jamey Hughton
MOVIE VIEWS by Jamey Hughton http://Welcome.to/MovieViews
Cast Your Votes for "1999 FILM AWARDS" http://apps4.vantagenet.com/zsv/survey.asp?GO=Vote%21&id=9122019309
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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{% extends 'auth/base.html' %} {% block title %}
Please check your email inbox then use the unique code that we provided to complete this process.


| Property |
Description |
Data Type |
Required/Optional |
| cimac_participant_id |
Participant identifier assigned by the CIMAC-CIDC Network. Example: CIMAC-1234.
|
<string>
|
required
|
| trial_participant_id |
Trial Participant Identifier. Example: PT123.
|
<string>
|
optional
|
| arm_id |
Identifies the trial arm to which the participant belongs. Example: Arm A.
|
<string>
|
optional
|
| cohort_id |
Identifies the treatment cohort to which the participant belongs. Example: Cohort A.
|
<string>
|
optional
|
| gender |
Identifies the gender of the participant.
|
<string>
- Male
- Female
- Not Specified
- Other
|
optional
|
| race |
'NIH Racial and Ethnic Categories and Definitions for NIH Diversity Programs and for Other Reporting Purposes (NOT-OD-15-089), Release Date: April 8, 2015.'
|
<string>
- American Indian/Alaska Native
- Asian
- Black/African American
- Native Hawaiian/Pacific Islander
- White
- Not Reported
- Unknown
- Other
|
optional
|
| ethnicity |
'NIH Racial and Ethnic Categories and Definitions for NIH Diversity Programs and for Other Reporting Purposes (NOT-OD-15-089), Release Date: April 8, 2015.'
|
<string>
- Hispanic or Latino
- Not Hispanic or Latino
- Not reported
- Unknown
- Other
|
optional
|
| samples |
|
<array>
|
required
|


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(). research National {border-style biomedical px;} #ffffff;} Science infectious respiratory use used dual-use liberty Health diseases measures scientific Advisory Liberty infected natural potential symptoms International emerging re-emerging research, virus Board Diseases Infectious MT: available severe transmission AT: IC: SP: contact disaster dual international people px; research. world {font-family Minimum Standards TS: bio-medical days disease diseases, font-size life life-sciences scientists Emerging IP: Infection Medicine New Reports Research air-born animals appropriate bioterrorism control development double; important infection patients person recent secure society time viruses Bennett Biomedical Churchill Clinical Code Disease Dolin Elsevier England Livingstone Mandell Organization Philadelphia, Principles Protection World bio-weapons border-color border-width considered countries diagnosis different epidemics, experts global includes national new pandemic particular practice solid; tuberculosis work working {font-style {font-weight "dual-use" Biosecurity Biosecurity. Bioterrorism: Boards Center Control Dual-use Ethics European FS: Medical Microbiology NSABB Report Scientists Table account anthrax biological bold cause close conduct courier; criteria decide develop dilemma em; epidemic fever, high infections influenza intentionally laboratories laboratory organizing priority prophylaxis pt;} public reference requires responsible science security threat treatment type typical war


Test phenotype algorithms
testPhenotypeAlgorithm( connectionDetails, cutPoints = c("EV"), outFolder, evaluationCohortId = "main", phenotypeCohortId, cdmDatabaseSchema, cohortDatabaseSchema, cohortTable, washoutPeriod = 0, splayPrior = 7, splayPost = 7 )
| connectionDetails | ConnectionDetails created using the function createConnectionDetails in the DatabaseConnector package. |
|---|---|
| cutPoints | A list of threshold predictions for the evaluations. Include "EV" for the expected value |
| outFolder | The folder where the cohort evaluation output files are written |
| evaluationCohortId | A string used to generate the file names for the evaluation cohort. |
| phenotypeCohortId | The ID of the cohort to evaluate in the specified cohort table. |
| cdmDatabaseSchema | The name of the database schema that contains the OMOP CDM instance. Requires read permissions to this database. On SQL Server, this should specifiy both the database and the schema, so for example 'cdm_instance.dbo'. |
| cohortDatabaseSchema | The name of the database schema that is the location where the cohort data used to define the at risk cohort is available. Requires read permissions to this database. |
| cohortTable | The tablename that contains the at risk cohort. The expectation is cohortTable has format of COHORT table: cohort_concept_id, SUBJECT_ID, COHORT_START_DATE, COHORT_END_DATE. |
| washoutPeriod | The mininum required continuous observation time prior to index date for subjects within the cohort to test (Default = 0). |
| splayPrior | The number of days to allow for test phenotype visit date prior to evaluation date |
| splayPost | The number of days to allow for test phenotype visit date after evaluation date |
A dataframe with the results from the phenotype algorithm evaluation.
If 0.5 is included as a cutpoint, the data frame will have an attribute called 'misses', a dataframe with a sample of subject ids for TPs, FPs, TNs, and FNs for the 50 percent and over prediction threshold.
This function will perform the phenotype algorithm evaluation using the evaluation cohort returned from createEvalCohort and the phenotype algorithm cohort specified


HackTruman 2017
HackTruman 2017 Announced for March 25th-26th!
Truman ACM is happy to announce its second annual hackathon. Our last hackathon brought in 25 students who hacked and created projects for our panel of sponsors to judge and decide prize winners. This year we are aiming for even greater success with more students, more prizes, and more crazy projects.
Checkout HackTruman.org for registration and more details about prizes and sponsors as they are released!


| Package name | Component name | Date uploaded | Date registered | Status | Action | |
|---|---|---|---|---|---|---|
| {{component.packageFileName}} | {{component.componentName}} | {{component.dateUploaded | date:'short'}} | {{component.dateRegistered | date:'short'}} | {{stateToText(component.componentState)}} |


Configuration files are either something you hardly ever use, or they're something you wrestle with. If...
pymc-learn is a package that brings bayesian models with a scikit-learn style implementation. Let's...
Somewhere in your data science journey you will need to scrape a webpage. This post will try to get you...
Pipelines are great tools for duplicating efforts you’ve already made against a dataset, making them...
Lambda functions are an easy way to quickly define functions within Python. They are a departure from...


{% extends "account/base.html" %}
{% block head_title %}{{ gettext("Delete Password") }}{% endblock %}
{% block body %}
{{ gettext("You may delete your password since you are currently logged in using OpenID.") }}{{ gettext("Delete Password") }}


Conventional methods for producing standard scores in psychometrics or biometrics are often plagued with "jumps" or "gaps" (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. The continuous norming method introduced by A. Lenhard et al. (2016), <doi:10.1177/1073191116656437>, generates continuous test norm scores on the basis of the raw data from standardization samples, without requiring assumptions about the distribution of the raw data: Norm scores are directly established from raw data by modeling the latter ones as a function of both percentile scores and an explanatory variable (e.g., age). The method minimizes bias arising from sampling and measurement error, while handling marked deviations from normality, addressing bottom or ceiling effects and capturing almost all of the variance in the original norm data sample.
| Version: | 1.1.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | lattice (≥ 0.20), leaps (≥ 3.0.0), latticeExtra (≥ 0.6), rmarkdown |
| Suggests: | knitr, markdown, shiny, shinycssloaders, foreign, readxl |
| Published: | 2018-12-08 |
| Author: | Wolfgang Lenhard [cre, aut], Alexandra Lenhard [aut], Sebastian Gary [ctb] |
| Maintainer: | Wolfgang Lenhard <wolfgang.lenhard at uni-wuerzburg.de> |
| BugReports: | https://github.com/WLenhard/cNORM/issues |
| License: | AGPL-3 |
| URL: | https://www.psychometrica.de/cNorm_en.html, https://github.com/WLenhard/cNORM |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | Psychometrics |
| CRAN checks: | cNORM results |
| Reference manual: | cNORM.pdf |
| Vignettes: |
"Demonstration for creating continuous norms with cNORM" |
| Package source: | cNORM_1.1.2.tar.gz |
| Windows binaries: | r-devel: cNORM_1.1.2.zip, r-release: cNORM_1.1.2.zip, r-oldrel: cNORM_1.1.2.zip |
| OS X binaries: | r-release: cNORM_1.1.2.tgz, r-oldrel: cNORM_1.1.2.tgz |
| Old sources: | cNORM archive |
Please use the canonical form https://CRAN.R-project.org/package=cNORM to link to this page.


BOOMBOOM
Life is too short to be bored. Isn't it? However, you wonder - what's going on? Not anymore we say.
Ladakh is a valley for those who know how to live, and how to travel. This “land of passes” is adventure personified and thrill manifested in a concrete form.


--- title: Transplanting Subtrees With git tags: [ git, software, tutorials ] originally: ../Stephen.Savitzky.net/Doc/transplanting-subtrees/ date: 2018-10-04 ---
If you have a lot of projects in separate git
repositories,
you're eventually going to want to do some refactoring and put some a
subtree or two into their own repository so that you can reuse them. (If
everything is under the same repository, you probably moved your
tree from Subversion or CVS, and you'll want to split it up. These
techniques work for that, too.)
Often you want to move one or more subtrees to a different project
(usually but not always a new one), but keep them in the same
relative position. This can happen if, for example, you want to
take a Java package out of a project and make it its own library.
If you organize your code sensibly, you'll have source code and
tests in separate subtrees, and some build logic in the
root. This is a job for git subtree
.
This is the one case where you don't have to clone your origial repository unless you want to, but it's a good idea anyway because it's going to end up with an extra branch in it for each subtree you're moving. And even if you plan on nuking it later, cloning it gives you something to fall back on when a cat walks across your keyboard (as mine has done several times since I started writing this).
Let's start by making our new branches:
cd ../MyBloatedProject git subtree split --prefix=src/com/example/separable/package --branch=src git subtree split --prefix=tst/com/example/separable/package --branch=tst cd ../ShinyNewLibrary git checkout -b working git remote add mbp ../MyBloatedProject git subtree add --prefix=src/com/example/separable/package mbp src git subtree add --prefix=tst/com/example/separable/package mbp tst git merge src tst
...and you're done. Post your code review.
The nice thing about this process is that it doesn't matter if people are
still working in the subtrees you just moved. That's because every time
you run git subtree
with the same arguments you get the same
set of commits. (That's also why you don't want to rebase the commits you
moved.)
So suppose someone has gone and committed some changes to the subtrees you're working in. True story -- it happens a lot on large teams. Or if you have a habit of working on two computers! Now you can take advantage of the feature mentioned above.
# update the split branches: cd ../MyBloatedProject git checkout master git pull git subtree split --prefix=src/com/example/separable/package --branch=src git subtree split --prefix=tst/com/example/separable/package --branch=tst # Merge the splits, preserving the top commit. cd ../ShinyNewLibrary git checkout -b splits # only has to be done once. Next time git reset --hard HEAD^ # just do git checkout splits. git subtree pull --prefix=src/com/example/separable/package mbp src git subtree pull --prefix=tst/com/example/separable/package mbp tst git checkout working git rebase splits
The resulting tree looks a little odd, with two extra branches that don't descend from a commit in mainline, but you can continue this way as long as anyone is still working in the original repo. Of course, once you're done, just
git checkout working git rebase master git merge working cd ../MyBloatedProject git rm -r src/com/example/separable/package git rm -r tst/com/example/separable/package git commit
This, of course, leaves your package's history in two places: the old project, and the new one. Cleaning up the old repo is rarely necessary, but we'll see later how you can do that. Rewriting history in the new project to get all the commits into master in chronological order is left as an exercise for the reader.
The next simplest case is when you have a subtree -- a library,
or a project in a former svn
tree, and you want to
make it a separate project with its own git
repo.
The first thing you have to do is clone your original repo, because it's going to be totally destroyed. Then,
git filter-branch --subdirectory-filter Foo -- --all
This will wipe out your original repo, leaving only the former contents of Foo. It also wipes out any history Foo's contents might have had if they were moved from someplace else. We'll get to that.
A variant of this is where you wantall of your repository
to end up in the subdirectory, in other words, to make your repo into
a self-contained subtree that you can then move into some other
project (perhaps using git subtree
, as in the previous
section.
git filter-branch --prune-empty --tree-filter ' if [[ ! -e foo/bar ]]; then mkdir -p foo/bar git ls-tree --name-only $GIT_COMMIT | xargs -I files mv files foo/bar fi'
(I got that one from this article on StackOverflow, by the way.)
Of course, this doesn't work if you want some of the files to remain where they were.
Other times, you're not starting out with a tree, just a collection of files, all at the same level. And maybe you want them to end up in more than one subtree. I did this most recently when I wanted to split up my songbook into my songs, public domain songs, other peoples' songs, and work in progress.
I started out by moving all the songs that weren't mine into three subdirectories called PD, WIP, and Other. Then, I made a little script:
#!/bin/bash pd=$(echo `ls PD`) wip=$(echo `ls WIP`) oth=$(echo `ls Other`) git filter-branch --prune-empty --tree-filter \ "for f in $pd; do if [ -f \$f ]; then mkdir -p PD; mv -f \$f PD; fi done;\ for f in $wip; do if [ -f \$f ]; then mkdir -p WIP; mv -f \$f WIP; fi done;\ for f in $oth; do if [ -f \$f ]; then mkdir -p Other; mv -f \$f Other; fi done;\ "
(I later made a more general Perl script -- it turned out that Bash wasn't up to doing the necessary variable substitution.)
Now I had a directory with three subtrees, and my own lyrics in the top
level. Then it was a simple matter of cloning this directory three times,
and running git filter-branch --subdirectory-filter
in
each clone.
Finally, I went back to the directory that still had the subdirectories in it. Just removing them won't do, because their contents would still be in the history. But we can fix that, with:
git filter-branch --prune-empty --original refs/before-removing-subdirs\ --tree-filter 'rm -rf Other PD WIP' git reset --hard HEAD; git gc --aggressive; git prune # and, finally, stomp on your shared repo with git push -f
You need the --original
in there because you probably still
have refs/original
left over from the previous work --
filter-branch
won't run if it thinks it might overwrite your
original. Just in case you forgot to clone. You'll probably want to run
some unit tests before that last push.
Whew! The whole process is made feasible by the fact that cloning a local repository is almost instantaneous because it uses hard links. Whenever you make a mistake, you can just clone the original repo and start over.
There's another method of transplanting that doesn't involve making branches: instead, you make patches. It's quick and easy, and handles random files and subtrees mixed together. It looks like:
# see git log --pretty=email --reverse --full-index --binary -- PATHS > /tmp/patches # fix paths if necessary: sed -i -e 's@deep/path/that/you/want/shorter@short/path@g' /tmp/patches # apply the patches. cd /path/to/dest; git am /tmp/patches # rather than applying the patches directly to the new repository, you can make a # new one. That separates the history, which is cleaner if you have a lot of it. # (replace "foo" with whatever name you want for the merged branch) mkdir foo; cd foo; git init; git am /tmp/patches # then import it, and merge cd /path/to/dest git remote add foo ../foo git merge foo/master
A coworker of mine at Amazon found this one, in this article. The one problem I have with it is that all the new
commits end up in master instead of on an "orphan" branch, so you have a
lot of commits out of chronological order. git log
will sort
them correctly by date, but they'll look rather strange in visualization
tools like gitk
. (Not that orphan branches don't look
strange too, but their strangeness gives you a better idea of what
happened when.)
(Most of this was originally published on Stephen.Savitzky.net in 2015.)


Adding Bookmarks to PDF
Set the
pdf-outline parameter to
yes in the
XSL-FO section of
the
XSL Parameters tab of the
Preferences dialog
to add bookmarks in PDF output.
Paper Size
Default paper size for PDF, RTF, DOCX and ODT is 'A4'. Paper size used in formats
that depend
on XSL-FO is controlled by the
paper-type parameter in the stylesheet for XSL-FO.
Eclipse Help for Multiple Plugins
XSL settings can only contain the information of one plugin at a time. Save your current
set of
XSL parameters using the Export XSL Parameters option of the
XSL Parameters tab of the Preferences dialog after
configuring each plugin and load those settings using the Import XSL Parameters
button before publishing the corresponding Eclipse help.


Credit goes to the following websites that we used in developing this project:
Wiki Page - Some character descriptions were used from this site.
Akira 2019 fan site - Some description of original publications and artistic style of Otomo were used from this site.
Manaix Blog site - This site gave us inspiration for researching the theme of "Control".
A special thanks goes to Dr. Elisa Beshero-Bondar for helping us with some issues that caused setbacks for us and guiding us through the creation process. Link to her GitHub
Before we got started with gathering information on the control scenes, we decided to gather a list of the characters that appeared in the movie. We had also listed the characters in the order of which they first appeared. When we added the script to the code as well, we also made sure to include time stamps of when the characters speak.
After that, we added the code for the different scenes involving characters that are attempting to assert control over other characters using the TEI Speaking Group (spGrp) tag. We needed to split the "Control Scenes" by if the main controller in the the scene had been imbued with super powers. A "super" attribute was for those with the powers, and a "human" attribute for characters without powers. An identifying @who attribute is also used.
We then added the different scenes involving people using their psychic powers using the TEI Milestone tag with a custom attribute of @powers and an identifying @who attribute.
Then came the time to begin coding the schema for the website, which we created by making five separate coding documents to be linked, and creating a document specifically made for creating the appearance of the website.
The ODD file acted as a Relax NG schema to help detail which characters appear in control scenes, along with splitting them up into categories of those who use powers and those who don't.
We also added code detailing the establishment of power scenes in the movie as well. These scenes were meant to show which characters were using powers against each other, with only a small list of power-imbued charactesr.
The reason we decided to choose this for our project was because we all like the movie Akira, and we felt it important to do a project based on it to celebrate the 30th anniversary of the movie's release.


THE FIFTH ELEMENT A film review by Matt Williams Copyright 1997 Matt Williams
RATING: * * * (on a scale of 0 to 4)
The best science fiction films manage to create a unique world, populated with rich characters and coherent to its own logic. The Fifth Element only meets these goals part way. It creates a visually intriguing setting, but adds rudimentary characters and a fairly standard action plot.
Three hundred years in the future, Earth faces a mysterious problem. An unknown massive object has appeared in space, destroying all life it touches. When conventional weapons prove useless, one Father Cornelius (Ian Holm) believes he may have the answer. He has descended from an order that has guarded a secret for 5000 years: a weapon of ultimate good that can defeat the ultimate evil. In order to use this weapon, it is necessary to collect four stones (representing the four elements of air, fire, earth and water), along with a mysterious "fifth element". However, gathering them may not be as easy as Father Cornelius would hope, for there are other forces at work.
The industrialist Zorg (Gary Oldman) wants the stones for his own nefarious purposes, and has the resources to get what he desires.
In the midst of this conflict is thrust Korben Dallas (Bruce Willis), an ex-military man, now struggling as a hovercab driver. Both fate and his government draw him together with Leeluu (Milla Jovovich), a strangely perfect humanoid alien who may hold the key to collecting and using the elements.
The world that director Luc Besson has created is original and breathtaking. In fact, it is almost worth the admission for the eye-candy alone. Though cluttered, the sets makes firm strides away from the gothic gloominess of Blade Runner, which has influenced nearly every science fiction film in the last fifteen years. The vibrant use of color in the Fifth Element is refreshing (although you can't help but compare Leeluu's bright orange hair with Korben's bright orange tank top). The costumes throughout are a bit over-the-top, but interesting to look at, anyhow. The film reaches its pinnacle with the pure visual delight of its action pieces (the hovercar chase through New York traffic is particularly spectacular).
However, once establishing so thrilling a setting, the remainder of the film is somewhat of a letdown. The Korben Dallas character is, well, Bruce Willis. Aside from the throwaway "my wife left me", there's not much development there. As Zorg, Gary Oldman gets to chew some scenery, but he never really has much motive (other than just being evil). Leeluu has some alluring enigma, but she remains shrouded in mystery throughout the whole film, and is used more as a plot device than a character. And the characters used for comic relief (particularly the shrill talk show host Rudy Rhod (Chris Tucker)) rarely have the effect desired.
As far as the movie's overall plot, you've got a MacGuffin to quest for and some villains to provide obstacles, and a few throwaway morals tacked onto the end. Your basic action movie package...no insights here. Yet, as an action film, The Fifth Element is above normal, owning many of the same stylistic touches that made Besson's earlier works (La Femme Nikita and The Professional) such a treat to watch. Sure, there are occasional inconsistencies, and the characters are rather thin, but Luc Besson makes the best of the elements he has.
If you're hoping for a science fiction masterpiece, you won't get it in the Fifth Element. Go in expecting a decent action film with stunning visuals, and you'll be sure to enjoy the ride.
Matt Williams<EMAIL_ADDRESS>Reviewer for Shreck's Cinema: http://www.shreck.com Home of over 400 reviews, and information on over 500 upcoming releases
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


[gecode-users] Simpler examples?
Christian Schulte
cschulte at kth.se
Tue Mar 18 04:28:29 CET 2008
Did you check this one:
http://www.gecode.org/gecodej/doc/PageIntro.html
Christian
--
Christian Schulte, www.ict.kth.se/~cschulte/
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Malcolm Ryan
Sent: Tuesday, March 18, 2008 4:19 AM
To: gecode list
Subject: [gecode-users] Simpler examples?
Hi,
May I ask that you add some simpler examples to the GecodeJ
distribution, which do not use the Options class included? By being
able to handle all manner of different search types, the class loses
its value as an example. It is hard to follow and difficult to see
which bits are necessary and which bits are not. A bare-bones example
would be useful. What is the minimum amount you need to create a
problem and then solve it?
Thanks,
Malcolm
_______________________________________________
Gecode users mailing list
users at gecode.org
https://www.gecode.org/mailman/listinfo/gecode-users
More information about the gecode-users
mailing list


new Element(eam, node, options)
Element
Parameters:
| Name | Type | Description |
|---|---|---|
eam |
EAM.EAM | |
node |
EAM.Node | |
options |
EAM.Element.Options | Initial configuration. |
- Source:
Members
-
node
-
Node
- Source:
-
path
-
Get CSS selector path including parent elements.
- Source:
-
role
-
Get Element Role
- Source:
-
selector
-
Get CSS selector of single element without including parent elements.
- Source:
-
tag
-
Get Element Tag name. It also includes Type attribute for INPUT elements.
- Source:
-
value
-
Get current value for Field elements
- Source:
-
<inner> selector :EAM.Element.ElementSelector
-
Type:
- Source:
Methods
-
anchor() → {EAM.Url}
-
Get linked Url for Anchor elements
- Source:
Returns:
- Type
- EAM.Url
-
id() → {String}
-
Get Element ID Attribute
- Source:
Returns:
- Type
- String
-
image() → {EAM.Url}
-
Get source Url for Image Elements
- Source:
Returns:
- Type
- EAM.Url
-
text() → {String}
-
Get Element text
- Source:
Returns:
- Type
- String
-
<inner> customized(getter, isCached, filter) → {function}
-
Parameters:
Name Type Description getter
isCached
filter
- Source:
Returns:
- Type
- function
-
<inner> role() → {EAM.Element.Role}
-
Get Element Role
- Source:
Returns:
- Type
- EAM.Element.Role
Type Definitions
-
Model
-
Type:
- Object
- Source:
Properties:
Name Type Description selector
EAM.Element.ElementSelector


Contents:
Applying Commands in a Script
A Global Perspective on Addressing
Testing and Saving Output
Four Types of sed Scripts
Getting to the PromiSed Land
To use sed, you write a script that contains a series of editing actions and then you run the script on an input file. Sed allows you to take what would be a hands-on procedure in an editor such as vi and transform it into a look-no-hands procedure that is executed from a script.
When performing edits manually, you come to trust the cause-and-effect relationship of entering an editing command and seeing the immediate result. There is usually an "undo" command that allows you to reverse the effect of a command and return the text file to its previous state. Once you learn an interactive text editor, you experience the feeling of making changes in a safe and controlled manner, one step at a time.
Most people new to sed will feel there is greater risk in writing a script to perform a series of edits than in making those changes manually. The fear is that by automating the task, something will happen that cannot be reversed. The object of learning sed is to understand it well enough to see that your results are predictable. In other words, you come to understand the cause-and-effect relationship between your editing script and the output that you get.
This requires using sed in a controlled, methodical way. In writing a script, you should follow these steps:
Think through what you want to do before you do it.
Describe, unambiguously, a procedure to do it.
Test the procedure repeatedly before committing to any final changes.
These steps are simply a restatement of the same process we described for writing regular expressions in Chapter 3, Understanding Regular Expression Syntax. They describe a methodology for writing programs of any kind. The best way to see if your script works is to run tests on different input samples and observe the results.
With practice, you can come to rely upon your sed scripts working just as you want them to. (There is something analogous in the management of one's own time, learning to trust that certain tasks can be delegated to others. You begin testing people on small tasks, and if they succeed, you give them larger tasks.)
This chapter, then, is about making you comfortable writing scripts that do your editing work for you. This involves understanding three basic principles of how sed works:
All editing commands in a script are applied in order to each line of input.
Commands are applied to all lines (globally) unless line addressing restricts the lines affected by editing commands.
The original input file is unchanged; the editing commands modify a copy of original input line and the copy is sent to standard output.
After covering these basic principles, we'll look at four types of scripts that demonstrate different sed applications. These scripts provide the basic models for the scripts that you will write. Although there are a number of commands available for use in sed, the scripts in this chapter purposely use only a few commands. Nonetheless, you may be surprised at how much you can do with so few. (Chapter 5, Basic sed Commands, and Chapter 6, Advanced sed Commands, present the basic and advanced sed commands, respectively.) The idea is to concentrate from the outset on understanding how a script works and how to use a script before exploring all the commands that can be used in scripts.
Combining a series of edits in a script can have unexpected results. You might not think of the consequences one edit can have on another. New users typically think that sed applies an individual editing command to all lines of input before applying the next editing command. But the opposite is true. Sed applies the entire script to the first input line before reading the second input line and applying the editing script to it. Because sed is always working with the latest version of the original line, any edit that is made changes the line for subsequent commands. Sed doesn't retain the original. This means that a pattern that might have matched the original input line may no longer match the line after an edit has been made.
Let's look at an example that uses the substitute command. Suppose someone quickly wrote the following script to change "pig" to "cow" and "cow" to "horse":
s/pig/cow/ s/cow/horse/
What do you think happened? Try it on a sample file. We'll discuss what happened later, after we look at how sed works.
Sed maintains a pattern space, a workspace or temporary buffer where a single line of input is held while the editing commands are applied.[1] The transformation of the pattern space by a two-line script is shown in Figure 4.1. It changes "The Unix System" to "The UNIX Operating System."
[1] One advantage of the one-line-at-a-time design is that sed can read very large files without any problems. Screen editors that have to read the entire file into memory, or some large portion of it, can run out of memory or be extremely slow to use in dealing with large files.
Initially, the pattern space contains a copy of a single input line. In Figure 4.1, that line is "The Unix System." The normal flow through the script is to execute each command on that line until the end of the script is reached. The first command in the script is applied to that line, changing "Unix" to "UNIX." Then the second command is applied, changing "UNIX System" to "UNIX Operating System."[2] Note that the pattern for the second substitute command does not match the original input line; it matches the current line as it has changed in the pattern space.
[2] Yes, we could have changed "Unix System" to "UNIX Operating System" in one step. However, the input file might have instances of "UNIX System" as well as "Unix System." So by changing "Unix" to "UNIX" we make both instances consistent before changing them to "UNIX Operating System."
When all the instructions have been applied, the current line is output and the next line of input is read into the pattern space. Then all the commands in the script are applied to that line.
As a consequence, any sed command might change the contents of the pattern space for the next command. The contents of the pattern space are dynamic and do not always match the original input line. That was the problem with the sample script at the beginning of this chapter. The first command would change "pig" to "cow" as expected. However, when the second command changed "cow" to "horse" on the same line, it also changed the "cow" that had been a "pig." So, where the input file contained pigs and cows, the output file has only horses!
This mistake is simply a problem of the order of the commands in the script. Reversing the order of the commands - changing "cow" into "horse" before changing "pig" into "cow" - does the trick.
s/cow/horse/ s/pig/cow/
Some sed commands change the flow through the script, as we will see in subsequent chapters. For example, the N command reads another line into the pattern space without removing the current line, so you can test for patterns across multiple lines. Other commands tell sed to exit before reaching the bottom of the script or to go to a labeled command. Sed also maintains a second temporary buffer called the hold space. You can copy the contents of the pattern space to the hold space and retrieve them later. The commands that make use of the hold space are discussed in Chapter 6.


I have decided to take a class in programming because am aspiring to be a developer to build solutions to the emerging problems in the world through tech
languages :CSS ,HTML
technologies: CSS ,HTML


Chinken Nunget
Welcome to
THE
place to see Mythology
yeet *Finger Circle*
Choose from one of three options
Zeus
Click this button to learn more about the Greek God Zeus
Poisedon
Click this button to learn more about the Greek God Poisedon
Hades
Click this button to learn more about the Greek God Hades


Download This Plugin
Back To jQueryScript.Net
Tree View For Bootstrap 5 Example
Create a dynamic, collapsible/expandable tree view with the latest Bootstrap 5 framework.


_Star_Trek:_Insurrection_ (PG) ** (out of ****)
I am not a "Trekker," so I was quite surprised by how much I enjoyed the last big-screen installment of the long-running film and television franchise, 1996's _Star_Trek:_First_Contact_. Delivering thrills and a terrific adversary (the menacing Borg race) for general audiences to chew on, and enough of the trademark techno-talk to appease the geekiest of Trekkers, director/co-star Jonathan Frakes had his cake and ate it too.
After _First_Contact_'s critical and popular success, it comes as no surprise that Paramount and _Trek_ producer Rick Berman tapped Frakes to helm _Trek_ movie#9, but not even he can break this series from its curious "even/odd" curse--that is, even-numbered installments = good, odd = bad (or at least not good). To be fair, Frakes's direction is not the problem with _Insurrection_--it's the weak script by Michael Piller, from a story Piller co-devised with Berman. This time out, Capt. Jean-Luc Picard (Patrick Stewart), Commander Will Riker (Frakes), android Lt. Cmdr. Data (Brent Spiner), Lt. Cmdr. Geordi LaForge (LeVar Burton), Dr. Beverly Crusher (Gates McFadden), Counselor Deanna Troi (Marina Sirtis), and Michael Dorn's Lt. Cmdr. Worf (again on loan from his current TV home on _Star_Trek:_Deep_Space_Nine_) commit the titular act of insurrection against their higher-ups at the Federation when they set out to protect the population of a peaceful planet from a maniacal, Federation-allied alien (F. Murray Abraham) determined to harness the planet's power of granting perpetual youth.
_Insurrection_ is a far cry from the violent, "Resistance is futile" Borg antics of _First_Contact_ in terms of action, excitement, and, unfortunately, interest--to non-Trekkers, that is. A lot of the time is spent on light character moments, such as Data bonding with a technology-fearing young boy, Riker and Troi rekindling their romance, and Worf re-experiencing Klingon puberty, thanks to the perpetual youth bug. Trekkers will eat that stuff up; others will be looking elsewhere for something engaging, which cannot be found in the by-the-numbers story or the incredibly boring villain. What they will ultimately fix their attention on is the always-commanding presence of Stewart and the typically polished effects and makeup work. Aside from that, this subpar outing has nothing to offer anyone outside of the _Trek_ faithful.
Michael Dequina
<EMAIL_ADDRESS>|<EMAIL_ADDRESS>Mr. Brown's Movie Site: http://welcome.to/mrbrown
CompuServe Hollywood Hotline: http://www.HollywoodHotline.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Calliope is a framework to develop energy system models using a modern and open source Python-based toolchain.


1885 - 1904 and 1970 - 1989 monthly averages in the continental US
0F
Data source: NOAA 1981-2010 Climate Normals - Global Historical Climatology Network (GHCN) Daily Normals
Start of spring shifted by 0 days
Start of fall shifted by 0 days
Start of summer shifted by 0 days
Start of winter shifted by 0 days
What is the effect of climate change on the meteorological seasons?
Although it is clear that temperatures all over the globe are rising, this visualization tries to illustrate the effects of such a rise seasonal weather for the continental US. Shrinking winters and longer summers are apparent in the Southwest and Ohio Valley, while other climate regions such as the Northern Rockies and Plains seems to suffer from the opposite effect.
As you explore this interactive visualization, try to formulate a hypothesis to explain different season patterns you may notice across different regions and range periods.
Methodology
This visualization uses a large dataset of over 85,000 weather stations obtained from the NOAA 1981-2010 Climate Normals page. For performance, the minimum and maximum daily temperatures were converted into daily averages and those were aggregated by U.S. state.
To find the seasonal shift, a 9-day average temperature is calculated for the meteorological season start/end for period 1. Then, we search for a similar 9-day average (higher or lower, depending on the season) on period 2, from the middle of the previous season to the middle of the next one. Once this day is found, we mark it as the new start/end for that season.


Before Change
sqrt_discriminant = math.sqrt(b*b - 4*a*c)
ta = (-b - sqrt_discriminant) / (2*a)
tb = (-b + sqrt_discriminant) / (2*a)
return ta, tb
def solve(self, trust_radius):
raise NotImplementedError("The solve method should be implemented by "
"the child class")
After Change
// but produce smaller round off errors.
// Look at Matrix Computation p.97
// for a better justification.
aux = b + math.copysign(sqrt_discriminant, b)
ta = -aux / (2*a)
tb = -2*c / aux
return sorted([ta, tb])
def solve(self, trust_radius):
raise NotImplementedError("The solve method should be implemented by "
"the child class")


{% extends 'common/base/base.html' %} {% block site_content %}
World's most popular online watch store
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cd - Change working directory
cd ?dirName?
Change the current working directory to dirName, or to the
home directory (as specified in the HOME environment variable) if
dirName is not given.
Returns an empty string.
Note that the current working directory is a per-process resource; the
cd command changes the working directory for all interpreters
and (in a threaded environment) all threads.
Change to the home directory of the user fred:
cd ~fred
Change to the directory lib that is a sibling directory of the
current one:
cd ../lib
filename, glob, pwd
working directory
Copyright © 1995-1997 Roger E. Critchlow Jr.
Copyright © 1993 The Regents of the University of California.
Copyright © 1994-1996 Sun Microsystems, Inc.


|
AZX (AppZone eXtensions) documentation
1.1.9-CxL
A set of companion utilities that make AZ development easier
|
Data Structures | |
| struct | AZX_EEPROM_T |
| EEPROM handle structure This structure holds the parameters of the EEPROM handle, used by all communication functions. More... | |
Macros | |
| #define | AZX_EEPROM_24XX256T_CONTROL_CODE 0x50 |
| #define | AZX_EEPROM_24XX256T_MEM_SIZE 32768 |
| #define | AZX_EEPROM_24XX256T_PAGE_SIZE 64 |
| #define | AZX_EEPROM_24XX256T_SLAVE_ADDR(a2__, a1__, a0__) (UINT16) ((AZX_EEPROM_24XX256T_CONTROL_CODE + ((a2__ << 2) + (a1__ << 1) + (a0__) )) << 1) |
| creates the slave address More... | |
Enumerations | |
| enum | AZX_EEPROM_RES_E { AZX_EEPROM_RES_OK = 0, AZX_EEPROM_RES_CANNOT_INIT, AZX_EEPROM_RES_INVALID_HANDLE, AZX_EEPROM_RES_OVERFLOW, AZX_EEPROM_RES_WRITE_ERR, AZX_EEPROM_RES_READ_ERR, AZX_EEPROM_RES_CANNOT_ALLOCATE, AZX_EEPROM_RES_MAX } |
| return codes More... | |
Functions | |
| INT32 | azx_eeprom_init (AZX_EEPROM_T *pEeprom, EEPROM_I2C_T *pI2CHandle, UINT8 devAddr, UINT16 memSize, UINT16 pageSize) |
| Initializes the EEPROM handle. More... | |
| INT32 | azx_eeprom_deinit (AZX_EEPROM_T *pEeprom) |
| De-initializes the EEPROM handle. More... | |
| INT32 | azx_eeprom_eraseAll (AZX_EEPROM_T *pEeprom) |
| Erases the EEPROM. More... | |
| INT32 | azx_eeprom_writePages (AZX_EEPROM_T *pEeprom, UINT16 mem_address, UINT8 *pData, UINT16 size) |
| Writes data in the EEPROM page by page. More... | |
| INT32 | azx_eeprom_writeByte (AZX_EEPROM_T *pEeprom, UINT16 mem_address, UINT8 data) |
| Writes one byte of data in the EEPROM. More... | |
| INT32 | azx_eeprom_readPages (AZX_EEPROM_T *pEeprom, UINT16 mem_address, UINT8 *pData, UINT16 size) |
| Reads data in the EEPROM page by page. More... | |
| INT32 | azx_eeprom_readSequentially (AZX_EEPROM_T *pEeprom, UINT16 mem_address, UINT8 *pData, UINT16 size) |
| Reads data in the EEPROM sequentially. More... | |
| INT32 | azx_eeprom_readByte (AZX_EEPROM_T *pEeprom, UINT16 mem_address, UINT8 *pData) |
| Reads one byte of data from the EEPROM. More... | |
| INT32 | azx_eeprom_readByteFromCurrentAddress (AZX_EEPROM_T *pEeprom, UINT8 *pData) |
| Reads one byte of data from the EEPROM. More... | |
| #define AZX_EEPROM_24XX256T_CONTROL_CODE 0x50 |
< EEPROM control code (1010 by default) 24XX256 EEPROM total size in bytes
| #define AZX_EEPROM_24XX256T_MEM_SIZE 32768 |
24XX256 EEPROM page size in bytes
| #define AZX_EEPROM_24XX256T_SLAVE_ADDR | ( | a2__, | |
| a1__, | |||
| a0__ | |||
| ) | (UINT16) ((AZX_EEPROM_24XX256T_CONTROL_CODE + ((a2__ << 2) + (a1__ << 1) + (a0__) )) << 1) |
creates the slave address
Given the three chip select bits, create the final slave address for the eeprom chip.
| a2__ | most significant chip select bit (pin 3 on EEPROM Chip) |
| a1__ | middle chip select bit (pin 2 on EEPROM Chip) |
| a0__ | least significant chip select bit (pin 1 on EEPROM Chip) |
| enum AZX_EEPROM_RES_E |
return codes
| INT32 azx_eeprom_deinit | ( | AZX_EEPROM_T * | pEeprom | ) |
De-initializes the EEPROM handle.
This function de-initializes the EEPROM handle and closes the I2C channel linked to the provided handle
| [in] | pEeprom | Pointer to the structure that will be de-initialized |
Sample usage
INT32 res; AZX_EEPROM_T eepromH = {0}; EEPROM_I2C_T i2c_h = {0}; UINT8 a2 = 0, a1 = 0, a0 = 0;
i2c_h.scl_pin = 2; i2c_h.sda_pin = 3; res = azx_eeprom_init(&eepromH, &i2c_h, AZX_EEPROM_24XX256T_SLAVE_ADDR(a2, a1, a0), AZX_EEPROM_24XX256T_MEM_SIZE, AZX_EEPROM_24XX256T_PAGE_SIZE); if(AZX_EEPROM_RES_OK != res) { return -1; }
res = azx_eeprom_init(&eepromH); if(AZX_EEPROM_RES_OK != res) { return -1; }
res = azx_eeprom_deinit(&eepromH); if(AZX_EEPROM_RES_OK != res) { return -1; }
| INT32 azx_eeprom_eraseAll | ( | AZX_EEPROM_T * | pEeprom | ) |
Erases the EEPROM.
This function erases all the EEPROM memory, by writing 0xFF in every byte.
| [in] | pEeprom | Pointer to the structure that will be erased |
Sample usage
INT32 res; AZX_EEPROM_T eepromH = {0}; EEPROM_I2C_T i2c_h = {0}; UINT8 a2 = 0, a1 = 0, a0 = 0;
i2c_h.scl_pin = 2; i2c_h.sda_pin = 3; res = azx_eeprom_init(&eepromH, &i2c_h, AZX_EEPROM_24XX256T_SLAVE_ADDR(a2, a1, a0), AZX_EEPROM_24XX256T_MEM_SIZE, AZX_EEPROM_24XX256T_PAGE_SIZE); if(AZX_EEPROM_RES_OK != res) { return -1; }
res = azx_eeprom_eraseAll(&eepromH); if(AZX_EEPROM_RES_OK != res) { return -1; }
res = azx_eeprom_deinit(&eepromH); if(AZX_EEPROM_RES_OK != res) { return -1; }
| INT32 azx_eeprom_init | ( | AZX_EEPROM_T * | pEeprom, |
| EEPROM_I2C_T * | pI2CHandle, | ||
| UINT8 | devAddr, | ||
| UINT16 | memSize, | ||
| UINT16 | pageSize | ||
| ) |
Initializes the EEPROM handle.
This function initializes the EEPROM handle with the provided I2C structure, address and sizes. Opens the I2C channel for the required address. Call it before any azx_eeprom_*
is used.
| [in] | pEeprom | Pointer to the structure that will be initialized |
| [in] | pI2CHandle | Pointer to the structure containing the I2C configuration (SDA, SCL pins) |
| [in] | devAddr | EEPROM slave address (refer to AZX_EEPROM_24XX256T_SLAVE_ADDR ) |
| [in] | memSize | the full EEPROM memory size in bytes to be set |
| [in] | pageSize | the EEPROM page size in bytes to be set |
Sample usage
INT32 res; AZX_EEPROM_T eepromH = {0}; EEPROM_I2C_T i2c_h = {0}; UINT8 a2 = 0, a1 = 0, a0 = 0;
i2c_h.scl_pin = 2; i2c_h.sda_pin = 3; res = azx_eeprom_init(&eepromH, &i2c_h, AZX_EEPROM_24XX256T_SLAVE_ADDR(a2, a1, a0), AZX_EEPROM_24XX256T_MEM_SIZE, AZX_EEPROM_24XX256T_PAGE_SIZE); if(AZX_EEPROM_RES_OK != res) { return -1; }
| INT32 azx_eeprom_readByte | ( | AZX_EEPROM_T * | pEeprom, |
| UINT16 | mem_address, | ||
| UINT8 * | pData | ||
| ) |
Reads one byte of data from the EEPROM.
This function will read a single byte from the EEPROM, starting from the given address.
| [in] | pEeprom | Pointer to the EEPROM structure |
| [in] | mem_address | Starting memory address as an unsigned 16bit integer. |
| [in] | pData | pointer to the allocated variable to store the value. |
Sample usage
INT32 res; AZX_EEPROM_T eepromH = {0}; EEPROM_I2C_T i2c_h = {0}; UINT8 a2 = 0, a1 = 0, a0 = 0;
UINT8 data; i2c_h.scl_pin = 2; i2c_h.sda_pin = 3; res = azx_eeprom_init(&eepromH, &i2c_h, AZX_EEPROM_24XX256T_SLAVE_ADDR(a2, a1, a0), AZX_EEPROM_24XX256T_MEM_SIZE, AZX_EEPROM_24XX256T_PAGE_SIZE); if(AZX_EEPROM_RES_OK != res) { return -1; } res = azx_eeprom_readByte(&eepromH, 0x00, &data); if(AZX_EEPROM_RES_OK != res) {
handle error } else { manage retrieved data }
res = azx_eeprom_deinit(&eepromH); if(AZX_EEPROM_RES_OK != res) { return -1; }
| INT32 azx_eeprom_readByteFromCurrentAddress | ( | AZX_EEPROM_T * | pEeprom, |
| UINT8 * | pData | ||
| ) |
Reads one byte of data from the EEPROM.
This function will read a single byte from the EEPROM, starting from current address.
| [in] | pEeprom | Pointer to the EEPROM structure |
| [in] | pData | pointer to the allocated variable to store the value. |
Sample usage
INT32 res; AZX_EEPROM_T eepromH = {0}; EEPROM_I2C_T i2c_h = {0}; UINT8 a2 = 0, a1 = 0, a0 = 0;
UINT8 data; i2c_h.scl_pin = 2; i2c_h.sda_pin = 3; res = azx_eeprom_init(&eepromH, &i2c_h, AZX_EEPROM_24XX256T_SLAVE_ADDR(a2, a1, a0), AZX_EEPROM_24XX256T_MEM_SIZE, AZX_EEPROM_24XX256T_PAGE_SIZE); if(AZX_EEPROM_RES_OK != res) { return -1; } res = azx_eeprom_readByte(&eepromH, 0x00, &data); if(AZX_EEPROM_RES_OK != res) {
handle error } else { manage retrieved data }
res = azx_eeprom_readByteFromCurrentAddress(&eepromH, &data); if(AZX_EEPROM_RES_OK != res) { handle error } else { manage retrieved data }
res = azx_eeprom_deinit(&eepromH); if(AZX_EEPROM_RES_OK != res) { return -1; }
| INT32 azx_eeprom_readPages | ( | AZX_EEPROM_T * | pEeprom, |
| UINT16 | mem_address, | ||
| UINT8 * | pData, | ||
| UINT16 | size | ||
| ) |
Reads data in the EEPROM page by page.
This function will read data from the EEPROM, starting from the given address. Data will be read from the memory chip with multiple "write start address + read page" operations, using the memory page size. The function will wait 1 system tick between each page read operation
| [in] | pEeprom | Pointer to the EEPROM structure |
| [in] | mem_address | Starting memory address as an unsigned 16bit integer. |
| [in] | pData | pointer to the buffer to be filled with data from the flash |
| [in] | size | size of the data to be read, in bytes |
Sample usage
#include <stdio.h> INT32 res; AZX_EEPROM_T eepromH = {0}; EEPROM_I2C_T i2c_h = {0}; UINT8 a2 = 0, a1 = 0, a0 = 0; UINT16 randomAddr = 0x0213; char data[128];
i2c_h.scl_pin = 2; i2c_h.sda_pin = 3; res = azx_eeprom_init(&eepromH, &i2c_h, AZX_EEPROM_24XX256T_SLAVE_ADDR(a2, a1, a0), AZX_EEPROM_24XX256T_MEM_SIZE, AZX_EEPROM_24XX256T_PAGE_SIZE); if(AZX_EEPROM_RES_OK != res) { return -1; }
res = azx_eeprom_readPages(&eepromH, randomAddr, (UINT8*) data, sizeof(data)); if(AZX_EEPROM_RES_OK != res) { handle error } else { manage retrieved data }
res = azx_eeprom_deinit(&eepromH); if(AZX_EEPROM_RES_OK != res) { return -1; }
| INT32 azx_eeprom_readSequentially | ( | AZX_EEPROM_T * | pEeprom, |
| UINT16 | mem_address, | ||
| UINT8 * | pData, | ||
| UINT16 | size | ||
| ) |
Reads data in the EEPROM sequentially.
This function will read data from the EEPROM, starting from the given address. Data will be read from the memory chip with multiple "read page" operations, using the memory page size, but with a single "write address" operation at the very beginning. The function will wait 1 system tick between each page read operation
| [in] | pEeprom | Pointer to the EEPROM structure |
| [in] | mem_address | Starting memory address as an unsigned 16bit integer. |
| [in] | pData | pointer to the buffer to be filled with data from the flash |
| [in] | size | size of the data to be read, in bytes |
Sample usage
#include <stdio.h> INT32 res; AZX_EEPROM_T eepromH = {0}; EEPROM_I2C_T i2c_h = {0}; UINT8 a2 = 0, a1 = 0, a0 = 0;
char data[128];
i2c_h.scl_pin = 2; i2c_h.sda_pin = 3; res = azx_eeprom_init(&eepromH, &i2c_h, AZX_EEPROM_24XX256T_SLAVE_ADDR(a2, a1, a0), AZX_EEPROM_24XX256T_MEM_SIZE, AZX_EEPROM_24XX256T_PAGE_SIZE); if(AZX_EEPROM_RES_OK != res) { return -1; }
res = azx_eeprom_readSequentially(&eepromH, 0x00, (UINT8*) data, sizeof(data)); if(AZX_EEPROM_RES_OK != res) { handle error } else { manage retrieved data }
res = azx_eeprom_deinit(&eepromH); if(AZX_EEPROM_RES_OK != res) { return -1; }
| INT32 azx_eeprom_writeByte | ( | AZX_EEPROM_T * | pEeprom, |
| UINT16 | mem_address, | ||
| UINT8 | data | ||
| ) |
Writes one byte of data in the EEPROM.
This function will write input byte into the EEPROM.
| [in] | pEeprom | Pointer to the EEPROM structure |
| [in] | mem_address | Starting memory address as an unsigned 16bit integer. |
| [in] | data | value to be stored |
Sample usage
INT32 res; AZX_EEPROM_T eepromH = {0}; EEPROM_I2C_T i2c_h = {0}; UINT8 a2 = 0, a1 = 0, a0 = 0;
i2c_h.scl_pin = 2; i2c_h.sda_pin = 3; res = azx_eeprom_init(&eepromH, &i2c_h, AZX_EEPROM_24XX256T_SLAVE_ADDR(a2, a1, a0), AZX_EEPROM_24XX256T_MEM_SIZE, AZX_EEPROM_24XX256T_PAGE_SIZE); if(AZX_EEPROM_RES_OK != res) { return -1; }
res = azx_eeprom_writeByte(&eepromH, 0x00, 'A'); if(AZX_EEPROM_RES_OK != res) { handle error }
res = azx_eeprom_deinit(&eepromH); if(AZX_EEPROM_RES_OK != res) { return -1; }
| INT32 azx_eeprom_writePages | ( | AZX_EEPROM_T * | pEeprom, |
| UINT16 | mem_address, | ||
| UINT8 * | pData, | ||
| UINT16 | size | ||
| ) |
Writes data in the EEPROM page by page.
This function will write input data into the EEPROM. Data will be sent to the memory chip with multiple write operations, each the size of the memory page size. The function will wait 1 system tick between each page write operation
| [in] | pEeprom | Pointer to the EEPROM structure |
| [in] | mem_address | Starting memory address as an unsigned 16bit integer. |
| [in] | pData | pointer to the data to be stored |
| [in] | size | size of the data to be stored, in bytes |
Sample usage
#include <string.h>
INT32 res; AZX_EEPROM_T eepromH = {0}; EEPROM_I2C_T i2c_h = {0}; UINT8 a2 = 0, a1 = 0, a0 = 0; UINT16 randomAddr = 0x0213; char data[] ="ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789............................abcdefghijklmnopqrstuvwxyz0123456789............................"
i2c_h.scl_pin = 2; i2c_h.sda_pin = 3; res = azx_eeprom_init(&eepromH, &i2c_h, AZX_EEPROM_24XX256T_SLAVE_ADDR(a2, a1, a0), AZX_EEPROM_24XX256T_MEM_SIZE, AZX_EEPROM_24XX256T_PAGE_SIZE); if(AZX_EEPROM_RES_OK != res) { return -1; }
res = azx_eeprom_writePages(&eepromH, randomAddr, (UINT8*) data, (UINT16) strlen(data)); if(AZX_EEPROM_RES_OK != res) { handle error }
res = azx_eeprom_deinit(&eepromH); if(AZX_EEPROM_RES_OK != res) { return -1; }


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