3 IC Protocol
The purpose of this chapter is to explain the bits and bytes of the IC protocol, which is a composition of the Erlang distribution protocol and the Erlang/OTP gen_server protocol. If you do not intend to replace the Erlang distribution protocol, or replace the gen_server protocol, skip over this chapter.
3.1 Introduction
The IDL Compiler (IC) transforms Interface Definition Language (IDL) specifications files to interface code for Erlang, C, and Java. The Erlang language mapping is described in the Orber documentation, while the other mappings are described in the IC documentation (they are of course in accordance with the CORBA C and Java language mapping specifications, with some restrictions).
The most important parts of an IDL specification are the operation declarations. An operation defines what information a client provides to a server, and what information (if any) the client gets back from the server. We consider IDL operations and language mappings in section 2.
What we here call the IC protocol, is the description of messages exchanged between IC end-points (client and servers). It is valid for all IC back-ends, except the 'erl_plain' and 'erl_corba' back-ends. The IC protocol is in turn embedded into the Erlang gen_server protocol, which is described below. Finally, the gen_server protocol is embedded in the Erlang distribution protocol. Pertinent parts of that protocol is described further below.
3.2 Language mappings and IDL operations
IDL Operations
An IDL operation is declared as follows:
[oneway] RetType Op(in IType1 I1, in IType2 I2, ..., in ITypeN IN, out OType1 O1, out OType2 O2, ..., out OTypeM OM) N, M = 0, 1, 2, ... (2.1.1)
`Op' is the operation name, RetType is the return type, and ITypei, i = 1, 2, ..., N, and OTypej, j = 1, 2, ..., M, are the `in' types and `out' types, respectively. The values I1, I2, ..., IN are provided by the caller, and the value of RetType, and the values O1, O2, ..., OM, are provided as results to the caller.
The types can be any basic types or derived types declared in the IDL specification of which the operation declaration is a part.
If the RetType has the special name `void' there is no return value (but there might still be result values O1, 02, ..., OM).
The `in' and `out' parameters can be declared in any order, but for clarity we have listed all `in' parameters before the `out' parameters in the declaration above.
If the keyword `oneway' is present, the operation is a cast, i.e. there is no confirmation of the operation, and consequently there must be no result values: RetType must be equal to `void', and M = 0 must hold.
Otherwise the operation is a call, i.e. it is confirmed (or else an exception is raised).
Note carefully that an operation declared without `oneway' is always a call, even if RetType is `void' and M = 0.
Language Mappings
There are several CORBA Language Mapping specifications. These are about mapping interfaces to various programming languages. IC supports the CORBA C and Java mapping specifications, and the Erlang language mapping specified in the Orber documentation.
Excerpt from "6.4 Basic OMG IDL Types" in the Orber User's Guide:
-
Functions with return type void will return the atom ok.
Excerpt from "6.13 Invocations of Operations" in the Orber User's Guide:
-
A function call will invoke an operation. The first parameter of the function should be the object reference and then all in and inout parameters follow in the same order as specified in the IDL specification. The result will be a return value unless the function has inout or out parameters specified; in which case, a tuple of the return value, followed by the parameters will be returned.
Hence the function that is mapped from an IDL operation to Erlang always have a return value (an Erlang function always has). That fact has influenced the IC protocol, in that there is always a return value (which is 'ok' if the return type was declared 'void').
3.3 IC Protocol
Given the operation declaration (2.1.1) the IC protocol maps to messages as follows, defined in terms of Erlang terms.
Call (Request/Reply, i.e. not oneway)
request: Op atom() N = 0 {Op, I1, I2, ..., IN} tuple() N > 0 (3.1.1) reply: Ret M = 0 {Ret, O1, O2, ..., OM} M > 0 (3.1.2)
Notice: Even if the RetType of the operation Op is declared to be 'void', a return value 'ok' is returned in the reply message. That return value is of no significance, and is therefore ignored (note however that a C server back-end returns the atom 'void' instead of 'ok').
Cast (oneway)
notification: Op atom() N = 0 {Op, I1, I2, ..., IN} tuple() N > 0 (3.2.1)
(There is of course no return message).
3.4 Gen_server Protocol
Most of the IC generated code deals with encoding and decoding the gen_server protocol.
Call
request: {'$gen_call', {self(), Ref}, Request} (4.1.1) reply: {Ref, Reply} (4.1.2)
where Request and Reply are the messages defined in the previous chapter.
Cast
notification: {'$gen_cast', Notification} (4.2.1)
where Notification is the message defined in the previous chapter.
3.5 Erlang Distribution Protocol
Messages (of interest here) between Erlang nodes are of the form:
Len(4), Type(1), CtrlBin(N), MsgBin(M) (5.1)
Type is equal to 112 = PASS_THROUGH.
CtrlBin and MsgBin are Erlang terms in binary form (as if created by term_to_binary/1), whence for each of them the first byte is equal to 131 = VERSION_MAGIC.
CtrlBin (of interest here) contains the SEND and REG_SEND control messages, which are binary forms of the Erlang terms
{2, Cookie, ToPid} , (5.2)
and
{6, FromPid, Cookie, ToName} , (5.3)
respectively.
The CtrlBin(N) message is read and written by erl_interface code (C), j_interface code (Java), or the Erlang distribution implementation, which are invoked from IC generated code.
The MsgBin(N) is the "real" message, i.e. of the form described in the previous section.


Dataset: The given tabular dataset contains a training set of $N=100K$ training pairs of $\{(x_i, y_i)\}_{i=1}^N$, where $x_i$ is the input data with 7 features (with mixed type, namely integer and categorical), representing a customer, and $y_i$ is its associated label representing an integer score. The predictive model should output an estimated score for a given input data, i.e. a new customer.
Initially, I remove "ID" column from the csv files, whci represent ID of each customer and exists in both given csv files; input file (features) and output file (scores). As the first step, I check for None/NaN values as the missing values in the dataset, revealing some features such as Diplome, specialite contain "None" (missing) values. Here, I do not impute the missing values using common methods, such as mean-imputation, KNN-imputation, and missforest method. Instead, I kept them as a separate category since there maybe is a relationship between the final score and the customers with None values as their Diplome and Specialite features. Note other features have no missing values.
To prepare the data for a machine learning model, I need to transfer the categorical features (with string type) to some numerical values. To do so, for each string-type feature, I can either encode its categorical values to integer values in $\{0,\dots, K-1\}$, where $K$ is the number of its categories, or to one-hot vectors $\{0,1\}^{K}$. While the former encoding procedure (I call it integer encoding) do not modify data dimensionality, the latter conversion increases the dimensionality of each categorical feature from 1 to $K$-d. Therefore, comparing to integer-encoding, the one-hot encoding procedure can cause an increase in computational cost and training time of ML models.
For the given dataset, there are 5 categorical features and 2 integer features. Using one-hot encoding, we end up to a data sample with $94$-dimensions (from 7-d to 94-d). Obviously, for the integer encoding schema, the dimensionality of converted data remains $7$-d.
After feature transformation, I normalize all the integer features to [0,1] to have them in the same scale. This is particularly of importance for gradient-based, e.g. SGD, (to have equal scale for the gradient of all the features ) and distance-based ,e.g. K-NN training algorithms (to have equal contribution of all the features in computation of distance). However, for tree-based learning algorithms, e.g. Decision Tree and Random Forest, the normalization step is not necessary as they incrementally divide the feature space, regardless of types of features or the magnitude of them.
The following questions will be answered in this section:
I use the following models: Ridge regression, Decision Tree, Random Forest, and Gradient Boost. For all the ML models, except GBM, sklearn has been used. For GBM, I used lightGBM lib due to its efficiency in training. I am not using kernelized SVM due to its prohibitively high time complexity ($O(N^3)$) and space complexity ($O(N^2)$). Although, theoretically speaking, logistic regression and neural network are less computationally demanding, their training time can be high (to reach a convergence point or plateau in loss landscape), particularly for a short time given to us for doing this task. Therefore, for this report, these two methods are ignored.
Therefore, in this report, a range of models, including linear and non-linear models in single vs ensemble modes are used in order to compare them w.r.t. their performance. To choose these methods, time and space complexities are considered.
The learning models only perform well once their hyper-parameters are setting properly. For example, I found that "min\_samples\_split" of Decision Tree in sklearn has a great influence on the generalization gap (computational time as well), meaning setting this hyper-parameter to a small value (e.g. 2) does lead to low training but high test errors (large generalization gap). However, setting it to a relatively (not too much high) higher value incurs to better (smaller) generalization gap. To see values of the important hyper-parameters of each ML model used in this report, the interested readers refer to Table~\ref{hyper}. To tune the hyper-parameters associated with the models, we utilize cross-validation on the training set (note that the original training set is divided into a training and a validation set) with 10 folds, for all the experiments.
For evaluation purposes, I split the training set with 100K samples into a training set with randomly chosen $\sim$70K samples and a validation set with the remaining samples ($\sim$30K samples). To report the final result, the validation set (30K samples) are used for evaluation purposes (from now on, we call this set as test set). Note that the original test set is unlabeled, thus, it is not possible to perform evaluation on it. The estimated score for the given real test set has been submitted. The performance of ML methods for regression task is usually compared using RMSE (Root Mean Squared Error), i.e. $\sqrt{\sum_{i=1}^{N}(\hat{y}_{i}-y_i)^2/N}$, where $\hat{y}_i$ is the estimated score of i-th sample. However, for linear regression models, we can also assess them by R$^2$ score, i.e. $1-\frac{\sum_{i=1}^{N}(\hat{y}_i-y_i)^2}{\sum_{i=1}^{N}(y_{i}-\bar{y})}$. This metric shows how the fitted model performs more worse than a model that always (regardless of input data) outputs the average of scores, i.e. $\bar{y}=(\sum_{i=1}^{N}y_i)/N$. The larger R$^2$ score is better. However, this metric is not valid for non-linear models such as Decision Tree, Random Forest and GBM. \begin{table}[t!] \begin{tabular}{ccc|cc} & \multicolumn{4}{c}{ RMSE } \\ \cline{2-5} Method & \multicolumn{2}{c|}{ one-hot (94-d) } & \multicolumn{2}{c}{ integer-encoding (7-d) } \\ \hline & training & test & training & test \\ Ridge ($R^2$ score \%) & 19.61 & 19.61 (74.41) & 30.38 &30.50 (38.12) \\ Linear Neural Network & 21.53 (1) & 21.55 (69.1) & 31.55 (35.07) & 31.62 (0)\\ Decision Tree &18.69 & 20.15& 19.12& 20.03 \\ Random Forest &17.67 & \underline{19.24} &18.56 &\underline{19.44} \\ Gradient Based Method &18.76 & \textbf{18.87}&18.76 & \textbf{18.87} \\ \end{tabular} \caption{Comparison of RMSE of different ML models on the given data set with two ways of feature representation: one-hot (94-d) and integer-encoding (7-d). Note that all the integer features are normalized to [0,1]. The first and second best performances are shown by \textbf{boldface} and \underline{underline}, respectively.} \label{tab:my_label} \end{table} Seen in Table~\ref{tab:my_label}, as expected, the ensemble based methods, i.e. GBM and Random Forest, are the winners for estimating the final score (target) with higher accuracy (in terms of RMSE) than the single models (Decision Tree and Ridge regressor). As it can be seen in Table~\ref{tab:my_label}, the tree-based regressors are not sensitive to the representation of data. Indeed, the tree-based regressors can naturally handle the categorical and numerical features as they divide the feature space regardless of the type of features. However, ridge regressor (particularly for integer-encoding schema) is performing worse on both training and test sets in terms of RMSE and R$^2$ score, showing its sensitivity to the encoding schema and the unsuitability of integer-coding of categorical data for such a non-tree based linear method. Likewise ridge regression, in our experiments, I also observe the same behaviour for linear neural networks\footnote{With one layer of 32 neurons for the integer-encoding and 256 neurons for the one-hot schema, with no activation function}, meaning its performance is drastically low for the integer-encoding features. Although the two encoding schemas do not show a significant difference in generalization performance for the tree-based methods, the integer-encoding is more plausible due to its lower computational complexity. In other words, the dimentionality of the input data plays an important role in training time of the tree-based methods; the lower dimentionality of the input features, the quicker training time. \textit{As a result, according to our results, the best combination for this dataset is the ensemble of tree-based methods on the integer representation of the categorical features.} Moreover, we also investigate the performance of k-nearest neighbors regressor. In Fig.~\ref{app-knn}, the performance of k-nn in terms of RMSE as a function of the number of nearest neighbors ($k$) for the integer-encoding representation is presented\footnote{Note k-nn method is not applied for the one-hot representation due to its high computational time.}. The performance is increased by higher $k$ up to $k=12$, after then, the performance is slightly improved, then reaching to a plateau. However, the performance of k-nn is still lower than the ensemble-based methods (GMB and Random Forest).Using lightGBM lib, I plot the feature importance to show the impact of each feature on the final score. For 7-d features with integer encoding schema, it can be seen in Fig.\ref{gbm-7d} that "Distance" is the most impactful feature while "Diplome" is the least one for indicating the score value. However, For 94-d features achieved by one-hot encoding schema (Fig~\ref{gbm-49d}), the importance diagram indicates the "Distance" and "Experience" as two most impactful features. And the rest of feature are relatively similar in terms of their effect on the final score.
Considering the tabular data containing mixed-data types with a small number of features, the tree-based method (namely Decision Tree) shows its superiority over the linear non-tree based methods, namely ridge regression and linear neural network. Because such a tree-based method can model non-linear functions and inherently able to handle the categorical and integer data type. However, the best results are provided by the \textbf{ensemble of tree-based methods, namely GBM}. Moreover, while the tree-based methods (single or ensemble of them) are not sensitive to the feature encoding schema, for computationally reasons, it is better to use the encoding method that keeps dimentionality of the input features as low as that of the original data (integer-encoding).


I hope you are very doing well and you had enjoyed those question. My name is Will, and I was born Cameroon, a country located in Central Africa. I moved to the United States 5 years ago, to pursue a career in Computer Science. I just obtained my assiciate in Computer Science from Shoreline Community College, and I am currently a New Technologist Intern at Microsoft. My current goal is to become a developer and leverage my skills in a Tech Company, to by able to participate in the making of new technologies. I also hope to be able to work with people from Africa to build a community of developers and insire the young generation to pursue a career in technology!
My top ten cities
- New york
- Paris
- Toulous
- Nice
- London
- Seattle
- San Francisco
- Portland
- Chicago
- San Diego


6yo: "She said it was cool, but that's not cool. If it was cool you could jump over cars."
7/14/2017, 12:33:03 PM
Favs: 4
Retweets: 0
link--- layout: tweet ---
6yo: "She said it was cool, but that's not cool. If it was cool you could jump over cars."
7/14/2017, 12:33:03 PM
Favs: 4
Retweets: 0
link


To get started, use one of the following options to calculate your new prices automatically. Need to change the selected category of the displayed items? Click 'Cancel' below.
| Item Name | Price | New Price | Cost of Goods Sold | Profit Margin |
|---|---|---|---|---|
| {{item.name}} | {{originalPrices[i] | currency:'USD':true:'1.2-2'}} | {{item.price | currency:'USD':true:'1.2-2'}} | {{item.cogs_total | currency:'USD':true:'1.2-2'}} | {{percentProfitMargin[i] | percent:'1.2-2'}} |


Assistant Professor Vassiliki Iconomidou
Section of Cell Biology & Biophysics
Department of Biology
National and Kapodistrian University of Athens
Panepistimiopolis
Athens
GR-15701 GREECE
<EMAIL_ADDRESS>Comments, corrections
Katerina Nastou
Section of Cell Biology & Biophysics
Department of Biology
National and Kapodistrian University of Athens
Panepistimiopolis
Athens
GR-15701 GREECE
<EMAIL_ADDRESS>Dr. Nikos Papandreou
Section of Cell Biology & Biophysics
Department of Biology
National and Kapodistrian University of Athens
Panepistimiopolis
Athens
GR-15701 GREECE
email:npapand@biol.uoa.gr


I typed this as quick as I can. It is not that quick though. I'm still working on my speed
Example block-level help text here.


ATTENTION:THE PRESIDENT
Dear Sir,
I am engr.Kofi Achampong of the Ghanaian Ministry of Trade and Commerce here in Accra.
I got your contact during one of my recent official trips to S/korea March/April this year as one of the Economic Community of West African States (ECOWAS) Delegates accredited by the Korea Trade Promotion Agency (KOTRA) office to attend your Trade Missions-the Korean International Commercial and Special Vehicle show tagged "CSV SHOW 2006" held there between Wednesday the 29th of March to Saturday Ist April 2006.
During my personal enquiries,your company among few others, were given to me as electronics and home appliances manufacturers traders and exporters in South Korea hence I decided to repose confidence in your company to do business with you.
I have an electronics/home appliances out-let/shop being managed by my wife here in Accra-Ghana and would like to stock it with made Korea brands of products begining with your company's products for a start.
Please furnish us with your products price (C.I.F) for 20'' & 40'' footer containers respectively to enable us work out the number of containers to place orders for in the first instance for your cosmetics.
I wish to also solicit your co-operation to assist me transfer some huge sum of money totaling 12.7million US Dollars from here to your country with which I wish to open and operate a foreign bank account there inorder to gradually launder back here later through massive importation of your above named products.
I will allow you and /or your company a negotiable 15% of the whole sum for using your name and/or company to wire-transfer the fund safely into S/Korea.
I will give you full details of the origine of the funds and how and what to do to perfect the whole deal.Expecting to read from you soonest.
Best Regards.
Engr. Kofi Achampong.


This scenario demonstrates the creation of new mobile broadband and Wi-Fi profiles. (Privileged APIs are used, so a custom device metadata package must be installed.)
Please refer to the sample provisioning XML file (SampleProvisioningXML) built into this application and modify as desired.


History of Internet - About
This site was intended to educate people about the history of internet. Topics covered include origin story, dot com bubble, browserwars, the search feature, and story of the internet and users.
A section to educate people on virtualization, containerization, Docker with Python are also added.
This is a non profit website used for educational purposes only! This was a class assignment for IS 601 with Keith Williams


HOME
GALLERY
PHOTO PACKAGE
CONTACT
Log Out
PROFILE
User Name:
Email:
Password:
Whatsapp Number:
Edit Profile
ABOUT US
FAQ
EUFORIA CAREER
LOGIN MEMBER


†††††††††††
††††††††††† Cytochrome P450 enzymes are involved in the removal of carcinogenic compounds from the body.† However, in some cases they can also activate compounds consumed in food, converting procarcinogens to carcinogens.† In addition, several cancers are sensitive to hormone concentrations, such as the link between breast cancer and oestrogen levels.† CYP proteins involved in steroid or retinoic acid metabolism could promote or suppress tumour development through hormonal control.† Genetic variability could play a role if a polymorphism affected a CYP protein involved in such processes.†
Certain CYP allelic variants are considered biomarkers for cancer susceptibility, several of which influence the bioactivation of carcinogens. †For example, CYP1B1 plays an important role in the bioactivation of carcinogens in different cancer types.† CYP1B1 is highly expressed in mammary, ovary and uterus tissue, where it catalyses the 4-hydroxylation of estradiol, which can generate free radicals that cause cellular damage.† The local formation of CYP1B1 is thought important for beast and endometrial carcinogenesis, and the polymorphic variant CYP1B1*3/*3 appears to be associated with increased breast cancer risk, especially when combined with hormone replacement therapy (HRT).
CYP1B1 is also implicated in tobacco smoke-related cancers in several organs.† Tobacco smoke contains several procarcinogens, including polycyclic aromatic hydrocarbons (PAHs), nitrosamines and arylamines.† PAHs can be activated into carcinogens by CYP1A1, CYP1A2 and CYP1B1.† In addition, certain PAHs can inhibit the activity of CYP1A2 and CYP1B1, which can affect their own metabolism as well as the metabolism of other carcinogens catalysed by these CYP proteins.† PAHs can be activated within the urothelium (lining of the ureters, bladder and urethra), where CYP1B1 is present, and tobacco smoking is the major cause of urinary bladder cancer.† Tobacco smoking is also a major cause of head and neck cancers, and the polymorphic variant CYP1B1*3/*3 appears to increase a smokerís susceptibility to these cancers.


A passionate programmer who wants to learn. I have this urge to learn what I don’t know and this has helped me with the programming. I got to solve so many problems and learnt new languages and systems.
In this experience I was provided with the so many projects including basic desktop applications, web applications and android applications. This practice let me train my skills on professional level. I get to know a lot of new things and get to do several experiments.
In this experience I was provided with the responsibility of examination, admission and convocation system. I get to improve my management skills. In this experience I improved my stress management and communication skills.
GPA: 2.98
Score: 84.8%


Has your tool been published or are there any publications associated in any way with your tool?
This is the place where EDAMmap will run and will show suggestions.
Based on these suggestions the user will pick EDAM terms. Topics will be added to the "topic" attribute, operations, input and output will be collected and offered later in the "function" section.
Labels
Links
Download
Documentation
Credits & Support
Function
Relations
Community
JSON
Permissions
You are now done.


The module checks whether an order contains products with nonpositive quantity.
If it does and a cashier doesn't have right to approve it, then a popup will be shown. Popup displays list of user who can approve the order.
Then the cashier must ask a supervisor to approve the sale.
The password must match the value in the "Security PIN" field in the Setting / Users section.
Information about a person who authorized a sale you can find in an order record in the "Negative stock approval" field.
Contact us by email or fill out request form


JavaScript is disabled on your browser.
Skip navigation links
Overview
Package
Class
Tree
Deprecated
Index
Help
Prev Letter
Next Letter
Frames
No Frames
All Classes
A
B
C
D
G
I
M
N
P
R
S
T
U
V
M
main(String[])
- Static method in class br.maua.api.
TestGetAPI
Tests and demos on fetching data from the API and deserializing.
Main
- Class in
br.maua
Main()
- Constructor for class br.maua.
Main
main(String[])
- Static method in class br.maua.
Main
Manga
- Class in
br.maua.models
Manga(int, String, String, String, int, int, double, String)
- Constructor for class br.maua.models.
Manga
MangaDAO
- Class in
br.maua.dao
MangaDAO()
- Constructor for class br.maua.dao.
MangaDAO
Media
- Class in
br.maua.models
Parent class foor media content (either anime or manga)
Media(int, String, String, double, String)
- Constructor for class br.maua.models.
Media
MediaType
- Enum in
br.maua.models
Media type, either ANIME or MANGA
Menu
- Class in
br.maua.interfaces
Menu()
- Constructor for class br.maua.interfaces.
Menu
A
B
C
D
G
I
M
N
P
R
S
T
U
V
Skip navigation links
Overview
Package
Class
Tree
Deprecated
Index
Help
Prev Letter
Next Letter
Frames
No Frames
All Classes


MR. WRONG A film review by Michael John Legeros Copyright 1996 Michael John Legeros
(Touchstone) Directed by Nick Castle Written by Chris Matheson, Kerry Ehrin, Craig Munson Cast Ellen DeGeneres, Bill Pullman, Joan Cusack, Dean Stockwell, Joan Plowright, Ellen Cleghorne, John Livingston, Robert Goulet MPAA Rating "PG-13" Running Time 92 minutes Reviewed at Carmike 7 Cinemas, Raleigh, NC (17FEB96)
==
Very wrong. Comedienne Ellen DeGeneres makes her feature-film debut in this astonishingly unfunny romantic comedy about a girl who can't get rid of a guy. The male in question is Bill Pullman-- or is it Jeff Daniels?-- a well-to-do smoothy who initially sweeps DeGeneres off her feet, until his increasingly bizarre behavior labels him as a card-carrying member of the Psycho Squad. Director Nick Castle (DENNIS THE MENACE) and writers Chris Matheson, Kerry Ehrin, and Craig Munson botch it big-time. The script isn't tight enough; the tone isn't right enough; and the comedy isn't black enough. (Most disappointing to me: no references to that other stalker movie, CAPE FEAR.) Ms. DeGeneres makes a bright impres-sion, sure, but the rest of the cast barely registers. Joan Cusack is a loss as Pullman's crazed ex-girlfriend; Dean Stockwell makes no impression as the P.I. that Ellen investigates. And so on. Skip it.
Grade: D+
--
Mike Legeros - Raleigh, NC
<EMAIL_ADDRESS>(h) -<EMAIL_ADDRESS>(w)
MOVIE HELL is on the Web!
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


--- layout: archive permalink: /contact/ author_profile: true --- {% include base_path %}
School of Computer and Control Engineering, Chinese Academy of Sciences No.19A Yuquan Road, Beijing 100049, China


Task 1
Use CSS grid or Flexbox
I belong on the left!
I'm in the middle!
I belong on the right!
Task 2
Use the opposite of the above exercise!
I belong on the left!
I'm in the middle!
I belong on the right!
Task 3
Set the background colour of the entire website, make sure there are no gaps!
Please set the colour of this box different to the background colour.
Task 4
Set the font and font colour to something fancy inside this box!
Wow such a fancy font.
Extra Challenge
The image should be in the center and even and not take up so much space!
Extra Challenge
I want each task to be side-by-side if my screen is large enough!
This box is only here to make it even 😎


| goog.Disposable | |
| goog.ui.ContainerScroller | goog.Disposable |
|
container
:
The container to attach behavior to.
|
|
disposeInternal()
No description.
|
code » | ||
|
doScrolling_(opt_center)
Centers the currently highlighted item, if this is scrollable.
Arguments:
|
code » | ||
|
onAfterShow_(e)
Handles AFTER_SHOW events on the container. Makes the container
scroll to the previously scrolled position (if there was one),
then adjust it to make the highlighted element be in view (if there is one).
If there was no previous scroll position, then center the highlighted
element (if there is one).
Arguments:
|
code » | ||
|
onEnter_(e)
Handles hover events on the container's children.
Helps enforce two constraints: scrolling should not cause mouse highlights,
and mouse highlights should not cause scrolling.
Arguments:
|
code » | ||
|
onHide_(e)
Handles hide events on the container. Clears out the last enter target,
since it is no longer applicable, and remembers the scroll position of
the menu so that it can be restored when the menu is reopened.
Arguments:
|
code » | ||
|
onHighlight_(e)
Handles highlight events on the container's children.
Arguments:
|
code » | ||
|
temporarilyDisableHover_()
Temporarily disables hover events from changing highlight.
|
code » |
|
dispose()
No description.
|
code » | |
|
disposeInternal()
Deletes or nulls out any references to COM objects, DOM nodes, or other
disposable objects. Classes that extend
goog.Disposable should
override this method. For example:
mypackage.MyClass = function() { goog.Disposable.call(this); // Constructor logic specific to MyClass. ... }; goog.inherits(mypackage.MyClass, goog.Disposable); mypackage.MyClass.prototype.disposeInternal = function() { mypackage.MyClass.superClass_.disposeInternal.call(this); // Dispose logic specific to MyClass. ... }; |
code » | |
|
getDisposed()
⇒
No description.
Returns:
Whether the object has been disposed of.
|
code » | |
|
isDisposed()
⇒
No description.
Returns:
Whether the object has been disposed of.
|
code » |
|
disableHover_
:
Whether we are disabling the default handler for hovering.
|
Code » | |
|
lastEnterTarget_
:
The last target the user hovered over.
|
Code » | |
|
scrollTopBeforeHide_
:
The scrollTop of the container before it was hidden.
Used to restore the scroll position when the container is shown again.
|
Code » |


Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 4
Try this healthier twist on a classic family recipe. Turkey is traditionally leaner than chicken and using mince made with thigh meat helps to keep these meatballs really moist.
Heat half the oil in a small frying pan over a medium heat. Add the onion and a pinch of salt and cook for five minutes, or until softened. Add the garlic and spices and cook for a further two minutes. Remove from the heat, tip into a bowl and leave to cool.
Meanwhile, for the salsa, combine the tomatoes, spring onions, avocado, lime and coriander in a bowl. Mix in half the chilli, taste and stir in more chilli if required. Add a drizzle of olive oil and season to taste with pepper, then set aside.
Once the onion mixture has cooled, add the turkey and coriander and mix thoroughly. Using wet hands, shape the mixture into 16 golf-ball sized balls and then transfer to a baking tray and cover with cling film.
Refrigerate for 15-30 minutes; this will help the meatballs to firm and will stop them from falling apart during cooking.
Preheat the oven to 200C/400F/Gas 6. Heat the remaining oil in a large, non-stick frying pan and fry the meatballs for 2-3 minutes, turning occasionally, until golden-brown on all sides. You may need to do this in batches to avoid overcrowding the pan.
Transfer the meatballs to a clean baking tray and cook in the oven for 10-12 minutes, or until cooked through. Leave to rest for a few minutes before serving with the salsa, lime wedges and lettuce leaves.


Error during login.
Registration success.
Confirmation url
Email confirmed.
Registration verification.
Registration expired.


Are you looking for an exquisite gift idea? Are you looking for something creative, affordable and delicious? Check out Cookies In Bloom, these beautifully designed and baked cookies will amaze you. Their mouthwatering taste will really please you. Cookies In Bloom are made fresh everyday with natural ingredients. Visit Cookies In Bloom and make your choice. There are over 350 designs to choose from. You will love Cookies In Bloom and your recipient will love your gift idea and will be so pleased with your good taste and creativity! Use our discount coupon to make the deal even sweeter.
Cookies In Bloom has a lot of categories to choose from. You can pick out an anniversary cookie bouquet or if your child is going back to school and wants to give his teacher a great, unforgettable present, you can choose from the back to school category. There are cookies for all occasions, birthdays, wedding baskets, get well soon, graduation cookies and so much more. Check it out online and you will be pleasantly surprised. Don’t forget to use our discount coupons for a bigger deal!
Cookies In Bloom have the best quality decorated cookies available on line. Get fresh, baked from scratch cookies at a great price. Cookies In Bloom carries good sized cookies that are even more amazing in taste. Order some today for yourself, your friends and family. For delicious, good looking, good tasting cookies, Cookies In Bloom is your best choice. Check it out online today.


|
PMSIS API
|
UART device configuration structure. More...
Data Fields | |
| uint32_t | baudrate_bps |
| uint8_t | stop_bit_count |
| uint8_t | parity_mode |
| uint8_t | word_size |
| uint8_t | enable_rx |
| uint8_t | enable_tx |
| uint8_t | uart_id |
| uint8_t | use_ctrl_flow |
| uint8_t | is_usart |
This structure is used to pass the desired UART configuration to the runtime when opening the device.
| uint32_t pi_uart_conf::baudrate_bps |
Required baudrate, in baud per second.
| uint8_t pi_uart_conf::enable_rx |
1 to activate reception, 0 to deactivate it.
| uint8_t pi_uart_conf::enable_tx |
1 to activate transmission, 0 to deactivate it.
| uint8_t pi_uart_conf::is_usart |
1 to activate usart
| uint8_t pi_uart_conf::parity_mode |
1 to activate it, 0 to deactivate it.
| uint8_t pi_uart_conf::stop_bit_count |
Number of stop bits, 1 stop bit (default) or 2 stop bits
| uint8_t pi_uart_conf::uart_id |
Uart interface ID.
| uint8_t pi_uart_conf::use_ctrl_flow |
1 to activate control flow.
| uint8_t pi_uart_conf::word_size |
Word size, in bits.


A Western-Blot Plot
by Ameya Daigavane
Choose the sample dataset!
or
Choose your own dataset!
Upload a dataset as a CSV file to be visualized as a western-blot plot.
(The CSV file must not contain any non-numeric entries, except on the first line, which are treated as the headers.)
Please upload only a .csv or .txt file!
Icons made by
Vaadin
. Theme available
here
. Developed by
Ameya Daigavane
.


A set of AngularJS directives that will snap to panels (blocks) of content after scrolling. Panels can also be nested and combined with a navigation directive as shown below.
The following panels demonstrate some of the module's features.
Simply add an ak-panel-group-menu
directive to add a dynamic navigation menu.
You can disable the scroll, the menu will still be functional
Use the left and right arrow keys to navigate this panel group (keys are customisable).
Add functions to the onEnter
or onLeave
attributes or bind to panelsnap
events to trigger custom actions and animations.
{{main.textLog}}


 When a person goes to a web page like www.google.com, their computer sends a HTTP Request to a server. The server finds the appropriate HTML document and sends it back to the user's computer where a web browser interprets the page and displays it on the user's screen.
HTML
HTML stands for Hypertext Markup Language. HTML documents form the majority of the content on the web. HTML documents contain text content which describes "what you see" and markup which describes "how it looks".
Tags and Elements
HTML documents are made of HTML elements. When writing HTML, we tell browsers the type of each element by using HTML tags.
In my first lesson, I learnt a few tags like: bold, image, anchor, break and paragraph. There are 2 types of tags: i) Open-Close Tags and ii) Void Tags. Some of the Tags have attributes that are used to give orders that are more complex, for instance, open an image from certain URL, make a link or give an alternative answer.
 This makes them very unforgiving since a small mistake by a programmer can cause huge problems in a program.
Inline vs Block Elements
HTML elements are either inline or block. Block elements form an "invisible box" around the content inside of them.
It is.


_Beautiful_People_ (R) *** 1/2
A couple of people walked out, never to return, about 20 minutes into this British import, and I can understand their impatience. Jasmin Dizdar's is packed with a number of characters and plotlines and takes its sweet time setting them all up that the opening stages cannot help but seem like a complete jumble. But to quote the trailer for _Magnolia_--to which this somewhat similar film has been compared--"this will all make sense in the end." _Beautiful_People_ is cut from the same Altman-esque cloth as Paul Thomas Anderson's film, following different lives as they criss-cross over a stretch of days in London.
One key difference is that these lives mostly, in some way, end up touching upon a central issue: the unrest in Bosnia. Two men who knew each other in the old country--one a Serb (Dado Jehan), the other a Croat (Faruk Pruti)--meet by chance on a bus and then proceed to beat the living daylights out of each other, landing themselves in the hospital. There, Portia (Charlotte Coleman), a med student borne of a rich English family, falls for a fresh Bosnian immigrant named Pero (Edin Dzanzanovic), whom she treated during rounds. The mishap that brought him there was related by association to the sad and angry Dr. Mouldy (Nicholas Farrell), whose wife has just left him; among his patients is one Bosnian refugee (Walentine Giorgiewa) bearing a war enemy's child. Dr. Mouldy lives next door to a strict teacher (Roger Sloman), whose son Griffin (Danny Nussbaum) hangs with a drug-addled crowd. Among Dr. Mouldy's son's schoolmates is the daughter of a BBC news reporter (Gilbert Martin) whose latest location assignment is in... Bosnia.
Despite the serious issue that serves as the film's connective tissue, _Beautiful_People_ is not overwhelmingly grim. There are moments of sadness and shocking brutality, but there are just as many more comic moments, in particular Griffin's hilariously unpredictable yet strangely moving thread. The film is also more about Bosnia: it's about the immigrant experience in general; it's about tolerance; it's about making a difference; it's about learning to make the best of what one has. _Beautiful_People_ is indeed a beautiful film, one that is thought-provoking and moving while always remaining entertaining.
Michael Dequina<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|<EMAIL_ADDRESS>Mr. Brown's Movie Site: http://welcome.to/mrbrown CinemaReview Magazine: http://www.CinemaReview.com on ICQ: #25289934 | on AOL Instant Messenger: MrBrown23
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


kfrankc
Contact
Drawings
Posts
Posts
Favorite Films & TV Shows watched in Quarantine
The easiest way to lazy-load images
Pandas Tips & Tricks
Building a Responsive Portfolio using Jekyll and Masonry
Relational Algebra & SQL
Lessons from 1 Year at Microsoft
Why is Kurtosis of Standard Normal Distribution 3?
Deriving the Normal Distribution
Enabling MathJax
Lukas Graham & 汪峰: Artistic Parallels
What makes Black Panther a great film
Beauty of Human Learning & Intelligence
Why we should all learn Chinese
UCLA Engineering Commencement Speech
Looking for life advice? Look to the Ancient Chinese
3 Qualities of Self-Worth (人贵有三品)
Thank you Jon
Turning 20


Prompt user input for program instantiation
Enter username
Password
Assembly-number
Revision
Sale-order
Start new session!
Reset


Deuteronomy 2:26
And I sent messengers out of the wilderness of Kedemoth unto Sihon king of Heshbon with words of peace, saying,


CS 341 - Survey of Programming Languages
Fall 2017
Course Information
Course Information Page
Syllabus
Homework Assignments
Readings
Moodle
Homework #1
Homework #2
Homework #3
Homework #4
Homework #5
Homework #6
Homework #7
Homework #8
Homework #9
Homework #10
Homework #11
Homework #12
Homework #13
Fourth Hour Homework: Language Design
Online Resources
How to learn a high-level programming language:
Learn the basic syntax for
common high-level programming constructs
by
programming simple algorithms
. (somewhat like
pidgin language
learning)
Immerse yourself in good programming examples to learn the common
idioms
programmers of that language use. (fluency)
Program, program, and program more. Although basic functional knowledge of a language can come quickly,
deep fluency can take years
.
Scheme:
Local Tutorial: Scheme for Java Programmers
Standard Scheme Language Reference (R5RS)
(
PostScript
,
PDF
,
HTML
)
Dr. Racket (formerly Dr. Scheme)
home page
How To Design Programs
text
(my other car is a cdr) (
plate image 1
,
plate image 2
,
site
)
JavaCC
JavaCC
- LL(k) parser generator for Java
Eclipse JavaCC Plugin Home
JavaCC Documentation
JavaCC Lookahead Tutorial
Java Tree Builder (JTB)
- abstract syntax class generator for JavaCC grammars
Android
Android Developers website
Android Tutorials and Classes
Java Package Documentation
Sounds
Sound resources:
NewGrounds
,
FreeSound
SoundPool Tutorials:
JavaCodeGeeks
,
101apps.co.za
,
API documentation
Free converter to OGG
Android Activity Reference and Lifecycle Description
AsyncTask Reference
Getting and Parsing a CSV File in Android
Zamzar converter from animation to frame images
Animated GIF source
Android Developer Article on Gestures
Python
:
Python 3 Documentation (Tutorials, References, etc.)
Python for Java Programmers
(
1
,
2
)
Python for Lisp Programmers
How to Write a Lisp Interpreter in Python
Lecture Examples
Humor:
The International Obfuscated C Code Contest
How to Shoot Yourself in the Foot in Any Programming Language (
1
,
2
,
3
)


--- title: Employment layout: default ---
Red Butte Garden is best place for to make working, comrade! Is best in world. Look at happy workers! Они имеют праздничное время!
#весело! #сталинский
Click the panels below for information about each position.
$25,000 to $45,000 annually
40 hours per week. Typically Monday – Friday, however actual days and times may vary. Must be available within 24 hrs if/when the need arises.
Red Butte Garden is seeking a Greenhouse Coordinator to manage the Garden’s plant production program, the design and maintenance of the Garden’s seasonal and indoor displays, and the operation, maintenance and repair of the Greenhouse facilities and equipment, etc. Supervises and trains full-time, part-time and temporary staff and volunteers in all aspects of propagation, plant care and maintenance.
Incumbent supervises full-time, part-time, and seasonal staff and volunteers. Responsible for all aspects of Red Butte Garden’s plant production program (which annually includes over 450 different species and cultivars of plants, predominantly from seed), preventative maintenance and repair of Greenhouse facilities and equipment, installation and maintenance of seasonal and indoor plant displays, pest and disease monitoring and treatment, oversees all plant material deliveries and tracks holding location and garden destination, and oversees yearly evaluation of flowering annual trials. Enforces UofU and department protocols, participates on the Garden’s Safety, and Design and Maintenance Committees, and all other duties as required to support the mission of Red Butte Garden.
Bachelor’s degree in Horticulture, Floriculture, related field or equivalency required; a valid Utah State Pesticide Applicator License; specific knowledge of entomology, pathology, propagation soils and fertility. Demonstrated human relation and effective communication skills also required. Four years experience in greenhouse plant production with one year experience supervising and one year experience in designing with annuals preferred.
$12.02 - $21.63 an hour
Monday - Friday 8:30 – 5 pm; occasional evenings and weekends
Red Butte Garden is accepting applications for a Graphic Artist to design and execute graphic artwork by interpreting and transforming ideas into professional visual material for a variety of mediums, including (but not limited to): educational programs, web content, distribution productions and publications or publicity and promoted events.
• This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
Associate’s degree in a related area or equivalency (2 years related work experience may be substituted for 1 year of education) required. Two years professional graphics experience (or equivalency) and demonstrated human relation and effective communication skills required. Bachelor’s degree in Graphic Design or Illustration or a related field preferred.
Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.
$10.00 - $12.00 an hour
19 hours per week, Monday – Friday, days and hours vary; may be an occasional weekend or evening
Red Butte Garden and Arboretum is seeking a part-time School Programs Assistant to assist with management and implementation of its education programs. This is a part-time (19 hours per week), non-benefitted, year-round position, Monday-Friday, with occasional weekend or evening hours, and occasional in-State travel.
This is an entry-level position. Training will be provided. Must demonstrate an interest in learning about child development and guidance; a willingness to take direction from the assigned teacher; willing to obtain a food handlers permit, TB test, Bureau of Criminal Investigation (BCI) background check, first aid training are required. Demonstrated human relation and effective human relations skills are also required.
Compensation includes a bi-monthly stipend of approximately $522, (total of $12,530 for the 12-month period), and an education stipend of $5,775 upon successful completion of the 1,700 hour commitment. Health benefits and environmental education training included. Position is Monday through Friday with some weekend and evening work required. Begins January 2017.
Applications are now being accepted for a full-time, 12-month term (1700 hours) AmeriCorps position with the Red Butte Garden Programs Department. The AmeriCorps Programs Specialist will work with a variety of young audiences
Job duties include but are not limited to:
The successful candidate will have a background in education, horticulture or ecology. Must enjoy being outdoors and working with children. Teaching experience preferred. Own transportation is required.
Email a cover letter and resume to Jason Alba at<EMAIL_ADDRESS>All applications must be received on or before December 30, 2016.


|
| def | edgeshape (self) |
| |
|
def | edgeshape (self, val) |
| |
| def | side (self) |
| |
|
def | side (self, val) |
| |
| def | textfont (self) |
| |
|
def | textfont (self, val) |
| |
| def | thickness (self) |
| |
|
def | thickness (self, val) |
| |
| def | visible (self) |
| |
|
def | visible (self, val) |
| |
| def | __init__ (self, arg=None, edgeshape=None, side=None, textfont=None, thickness=None, visible=None, **kwargs) |
| |
◆ __init__()
| def plotly.graph_objs.treemap.Pathbar.__init__ |
( |
|
self, |
|
|
|
arg = None , |
|
|
|
edgeshape = None , |
|
|
|
side = None , |
|
|
|
textfont = None , |
|
|
|
thickness = None , |
|
|
|
visible = None , |
|
|
** |
kwargs |
|
) |
| |
Construct a new Pathbar object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.treemap.Pathbar
edgeshape
Determines which shape is used for edges between
`barpath` labels.
side
Determines on which side of the the treemap the
`pathbar` should be presented.
textfont
Sets the font used inside `pathbar`.
thickness
Sets the thickness of `pathbar` (in px). If not
specified the `pathbar.textfont.size` is used with 3
pixles extra padding on each side.
visible
Determines if the path bar is drawn i.e. outside the
trace `domain` and with one pixel gap.
Returns
-------
Pathbar
◆ edgeshape()
| def plotly.graph_objs.treemap.Pathbar.edgeshape |
( |
|
self | ) |
|
Determines which shape is used for edges between `barpath`
labels.
The 'edgeshape' property is an enumeration that may be specified as:
- One of the following enumeration values:
['>', '<', '|', '\\']
- A string that matches one of the following regular expressions:
['']
Returns
-------
Any
◆ side()
| def plotly.graph_objs.treemap.Pathbar.side |
( |
|
self | ) |
|
Determines on which side of the the treemap the `pathbar`
should be presented.
The 'side' property is an enumeration that may be specified as:
- One of the following enumeration values:
['top', 'bottom']
Returns
-------
Any
◆ textfont()
| def plotly.graph_objs.treemap.Pathbar.textfont |
( |
|
self | ) |
|
Sets the font used inside `pathbar`.
The 'textfont' property is an instance of Textfont
that may be specified as:
- An instance of plotly.graph_objs.treemap.pathbar.Textfont
- A dict of string/value properties that will be passed
to the Textfont constructor
Supported dict properties:
color
colorsrc
Sets the source reference on plot.ly for color
.
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The plotly service (at https://plot.ly
or on-premise) generates images on a server,
where only a select number of fonts are
installed and supported. These include "Arial",
"Balto", "Courier New", "Droid Sans",, "Droid
Serif", "Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
familysrc
Sets the source reference on plot.ly for
family .
size
sizesrc
Sets the source reference on plot.ly for size
.
Returns
-------
plotly.graph_objs.treemap.pathbar.Textfont
◆ thickness()
| def plotly.graph_objs.treemap.Pathbar.thickness |
( |
|
self | ) |
|
Sets the thickness of `pathbar` (in px). If not specified the
`pathbar.textfont.size` is used with 3 pixles extra padding on
each side.
The 'thickness' property is a number and may be specified as:
- An int or float in the interval [12, inf]
Returns
-------
int|float
◆ visible()
| def plotly.graph_objs.treemap.Pathbar.visible |
( |
|
self | ) |
|
Determines if the path bar is drawn i.e. outside the trace
`domain` and with one pixel gap.
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool
The documentation for this class was generated from the following file:
- C:/Users/Nathan/Documents/SP20/Software Engineering/plotly.py/packages/python/plotly/plotly/graph_objs/treemap/__init__.py


channel.23188a __
channel.f21921 __
channel.1a1b1e __
octree __
channel.fcfcfc __
channel.228d41 __
channel.73b48b __
binary __
channel.e42b90 __
channel.f1837c __


Bottle Dual Robot App
Linus Robot Control and LED Blink
^
v
<
>
Eye
Torvalds Robot Control and LED Blink
^
v
<
>
Eye
Servo Arm Control
Value:
Value:
PWM Control
Value:
Value:


We first discussed together the important aspects of a restaurant app and came up with the three following themes: recommendations, usability/intuitiveness, user experience. This meant that we wanted to come up with an innovative idea that would seamlessly integrate a recommendation system into the user's ordering experiences. We came up with the recommendation system idea based on the fact that it is very hard for non-locals to order food in local restaurants, even if the menu is in English (simply because we are not familiar with the food). -- Thus, the idea of the "Foodbot" was born!
In ideating the app, we developed profiles for two types of users:
We first drew out what the app would look like screen-by-screen, in the process know as storyboarding. Doing so allowed us to flesh out the idea without spending excessive amounts of time to revising and iterating using more time consuming tools such as prototypoing software. We decided that aside from the conventional ordering system "A La Carte", we would include foodbot as a separate option in the form of a series of questions, to which the user would answer to generate recommendations for the food they are most likely to enjoy. The questions we ultimately decided to include were:
We first drew up the entire storyboard in wireframe form. This is one step closer to the interactive prototype as it standardizes the app formatting, sizing, and general feel. It is important to wireframe prior to making the prototype because it's much simpler--lacking color and images, making it much easier to iterate and go over different options before deciding on the final details.
Finally, we created an interactive prototype of the app using Marvel. We added colors, images, and a few more screens (savory or sweet was a later addition), including the drinks ordering screen and additional services (fill water, summon waiter, etc).
Deciding on how to handle the results after recommendations were generated ("I'm feeling lucky' vs "view my options") took some time and could have been more efficiently done in the wireframing stage. Nonetheless we came up with agreeable solutions and made it intiutive and seamless.
I believe the recommendation system developed herein can serve as a start to a major overhaul to the way food is ordered in upscale restaurants. especially in tourist heavy cities such as Hong Kong. Using artificial intelligence, we can narrow down the recommended options to provide the users with the food they have the highest likelihood of enjoying, and at the same time allow them to try new things, accomodating to everyone in the party.
Regarding the design process, I learned how to optimize the time spent in each aspect of development in order to create a powerful concept and app prototype in a short period of time. Empathizing was also very important as we had to fully understand the needs of a very speecific type of user.
Not to mention, having creative and motivated teammates made the experience more fluid and pleasant.


Yes. This is another consequence of those advantages of binary.
The applet bytecode and the web page are both located on a hard disk of a host computer.
Of course, when your browser asks for them, a copy of the web page and a copy of the bytecodes are transmitted over the Internet to the main memory of your computer. Your browser now formats a nice picture of the web page and runs the bytecodes using its version of the Java Virtual Machine.
This is a slightly weird idea. Just 10 years ago it would have been unthinkable in all but the most advanced university computer science departments. Here is a picture:
The browser on the client (your home computer) uses information in its main memory, that has been copied from the host's hard disk. It is as if the whole Internet works as your computer's secondary storage.


package analysers
Type Members
- case class Affect (word: String, valence: Double, arousal: Double, dominance: Double) extends Product with Serializable
-
trait
Analyser
extends Actor with ActorLogging
Created by<EMAIL_ADDRESS>on 9/1/17.
- class ExpressionAnalyser extends Actor with ActorLogging
- class ExpressionWorkerAffective extends Actor with ActorLogging
- class ExpressionWorkerAnnotating extends Actor with ActorLogging
- class ExpressionWorkerEpistemic extends Actor with ActorLogging
- class ExpressionWorkerModal extends Actor with ActorLogging
-
class
MetricsAnalyser
extends Actor with ActorLogging
Created by<EMAIL_ADDRESS>on 13/07/2016.
- class PosAnalyser extends Actor with ActorLogging
- class SpellingAnalyser extends Actor with ActorLogging
- class SpellingWorker extends Actor with ActorLogging
-
class
SyllableAnalyser
extends Actor with ActorLogging
Created by<EMAIL_ADDRESS>on 13/07/2016.
- case class TextShape (numChunks: Int, numDensities: Int, densities: List[Double]) extends Product with Serializable
-
class
TextshapeAnalyser
extends Analyser
Created by<EMAIL_ADDRESS>on 9/1/17.
-
class
VocabAnalyser
extends Analyser
Created by<EMAIL_ADDRESS>on 13/07/2016.
- class XipAnalyser extends Actor with ActorLogging
Documentation for TAP GraphQL
The Text Analytics Pipeline (TAP) GraphQL was originally created by Andrew Gibson
Overview


{% extends 'layout.html' %} {% block pageTitle %} NHS.UK prototype kit {% endblock %} {% block beforeContent %} {% endblock %} {% block content %}
UJ1 - beginning at NHS login
UJ1 - beginning at Gov.uk
UJ2 - returning user (with an NHS login) beginning at NHS login
UJ2 - returning user (without an NHS login) beginning at NHS login
UJ2 - beginning at Gov.uk
UJ3a - to follow...


Posts
Release V1.0a7
Release V1.0a6
First release V1.0a5
Official website online
Built with
from
Grav
and
Hugo
About
> Posts
Posts


FF\DataStructures\Record
Class Record
Represents a record data structure.
Contains an indexed collection of values and offers method's for
value retrieval and manipulation.
In addition to accessing value's by key (e.g. getField(), setField(), ...)
a magic __call() api is supported that mimics a default getter and setter api
for single field access.
Synopsis
- // members
- protected IndexedCollection $data;
- // methods
- public void __construct()
- public $this setData()
- public IndexedCollection getData()
- public array getDataAsArray()
- public mixed getField()
- public $this setField()
- public bool hasField()
- public $this unsetField()
- public $this clear()
- public bool isEmpty()
- public mixed|null __get()
- public void __set()
- public bool __isset()
- public void __unset()
- public mixed __call()
- public int count()
- public ArrayIterator getIterator()
Hierarchy
Implements
Coverage
| Methods | 0% | 0 / 17 |
| Lines | 0% | / |
Violations
PHPMessDetector
| Line | Rule | Message |
|---|---|---|
| 251 | StaticAccess | Avoid using static access to class '\FF\Utils\StringUtils' in method '__call'. |
Members
protected
Methods
public
- __construct() — Constructor
- __call() — Provides generic access to the record's fields
- __get() — Provides generic access for retrieving a record field's value
- __isset() — Provides generic access for checking a record field's existing
- __set() — Provides generic access for setting a record field's value
- __unset() — Provides generic access for removing a record's field
- clear() — Removes all data from the record
- count() — Retrieves the amount of data entries stored within the record
- getData()
- getDataAsArray() — Retrieves the record's data as array
- getField() — Retrieves a field value or the $default value if $key is not present
- getIterator() — Retrieves an iterator to provide traversable support
- hasField() — Checks if a data field is present
- isEmpty() — Checks whether this record is considered empty
- setData() — Sets the record's data
- setField() — Sets a field value
- unsetField() — Unsets a data field
History
-
2019-06-26T11:36:01+02:00 (commit #17b8109)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[FEATURE] add phpcs using PSR2
-
2019-06-12T13:02:22+02:00 (commit #b6a2ca6)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[REFACTOR] replace FF\Common with FF\Utils
-
2019-06-02T11:04:11+02:00 (commit #232ee8c)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[CHANGE] adapt to FF\Common
-
2019-04-22T10:48:12+02:00 (commit #52260fc)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[FEATURE] adds default values when accessing non-existing data
-
2019-04-16T10:48:49+02:00 (commit #ac60c68)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>initial commit


January 5th 2020
Tournament
Lorem ipsum dolor sit amet consectetur adipisicing elit. Eum inventore laborum est, beatae totam hic iusto eaque.
Friday: June 16 -08:00


TIFFSPLIT
Section: User Commands (1)Updated: September 20, 2005
Index Return to Main Contents
NAME
tiffsplit - split a multi-image TIFF into single-image TIFF filesSYNOPSIS
tiffsplit src.tif [ prefix ]DESCRIPTION
tiffsplit takes a multi-directory (page) TIFF file and creates one or more single-directory (page) TIFF files from it. The output files are given names created by concatenating a prefix, a lexically ordered suffix in the range [aaa-zzz], the suffix .tif (e.g. xaaa.tif, xaab.tif, ... xzzz.tif). If a prefix is not specified on the command line, the default prefix of x is used.OPTIONS
None.BUGS
Only a select set of ``known tags'' is copied when splitting.SEE ALSO
tiffcp(1), tiffinfo(1), libtiff(3TIFF)Libtiff library home page: http://www.remotesensing.org/libtiff/
Index
This document was created by man2html, using the manual pages.
Time: 05:29:11 GMT, December 24, 2015


Who has the best cheap car insurance in Washington?
by Liz Knueven, Business Insider US- Washington doesn’t have incredibly expensive car insurance, but in order to find the best car insurance policy, you’ll need to do some shopping around.
- There are many factors that will influence the amount you’ll pay for coverage, including your credit score.
- In general, USAA and State Farm offer the most affordable auto insurance in Washington for drivers with good credit, and GEICO has the cheap car insurance for drivers with poor credit.
- Read more personal finance coverage.
In Washington, the average driver will pay about $924 per year for auto insurance coverage. That’s fairly affordable, considering that the average American pays $935 per year, according to the Insurance Information Institute.
Your premium, or the amount you’ll pay for coverage, is influenced by several factors including where you live in the state, your credit score, the type of car you drive, and even how many years you’ve been driving. Each company will weigh these factors differently in pricing your policy.
That said, it’s helpful to shop around and find the best coverage for your money. To get started with your shopping, these three companies offer the best cheap car insurance coverage.
Who has the best cheap car insurance in Washington?
Consumer Reports compiled data on pricing formulas from all auto insurance companies in all states to figure out which companies offered the typical adult driver the best rates. Here are the three best companies in Washington by credit level, and the average premium each company offered a single adult driver.
These three companies offer drivers with good credit (or scores between 670 to 739, according to FICO) the best affordable coverage, on average:
- USAA car insurance: $781 per year
- State Farm car insurance: $1,151 per year
- Farmers Insurance: $1,320 per year
Drivers with a FICO score of 800 or above, or excellent credit, will generally see the lowest average premiums, on average.
- USAA car insurance: $644 per year
- State Farm car insurance: $939 per year
- Farmers Insurance: $1,031 per year
Drivers with poor credit (FICO scores between 300 and 579) will generally pay the most for coverage, on average.
- GEICO car insurance: $2,005 per year
- USAA car insurance: $2,126 per year
- Allstate car insurance: $2,165 per year
Who gets the best cheap car insurance in Washington?
As the numbers show above, there’s a general trend: The better your credit score, the cheaper your car insurance. But, that doesn’t meant you still can’t find the best rate by doing your homework and shopping around.
It might be a good idea to work on raising your credit score – there’s a big difference between what you’ll pay with poor credit and what you’ll pay with good credit in Washington. But, there are also other factors that you can’t control that go into your price, like your driving record, age, gender, and more.
What you can control is the amount of work you put in to finding the best price for you. Get quotes from several different insurance companies and compare them, looking for the most coverage types and the highest limits. Consider the deductible, or the amount you’ll pay out-of-pocket if you get into an accident. Generally, the lower the premium, the higher the deductible, so make sure you’ll have cash on hand if you go with a cheaper policy.
Shopping around is the best way to find the most coverage for your car insurance dollar in Washington.
- More personal finance coverage
- 4 reasons to open a high-yield savings account while interest rates are down
- It took less than 10 minutes to open a high-yield cash account with Wealthfront and earn more on my savings
- How to buy a house with no money down
- When to save money in high-yield savings
- Best rewards credit cards
- 7 reasons you may need life insurance, even if you think you don’t


| 1 |
//
|
|
| 2 |
// RouteComposer
|
|
| 3 |
// DismissalMethodProvidingContextTask.swift
|
|
| 4 |
// https://github.com/ekazaev/route-composer
|
|
| 5 |
//
|
|
| 6 |
// Created by Eugene Kazaev in 2018-2022.
|
|
| 7 |
// Distributed under the MIT license.
|
|
| 8 |
//
|
|
| 9 |
// Become a sponsor:
|
|
| 10 |
// https://github.com/sponsors/ekazaev
|
|
| 11 |
//
|
|
| 12 |
|
|
| 13 |
import Foundation
|
|
| 14 |
import UIKit
|
|
| 15 |
|
|
| 16 |
/// `DismissalMethodProvidingContextTask` allows to provide the way to dismiss the `UIViewController` using a preset configuration.
|
|
| 17 |
/// The `UIViewController` should conform to `Dismissible` protocol and call `Dismissible.dismissViewController(...)` method
|
|
| 18 |
/// when it needs to be dismissed to trigger the dismissal process implemented in `DismissalMethodProvidingContextTask.init(...)`
|
|
| 19 |
/// constructor.
|
|
| 20 |
public struct DismissalMethodProvidingContextTask<VC: Dismissible, C>: ContextTask {
|
|
| 21 |
|
|
| 22 |
// MARK: Properties
|
|
| 23 |
|
|
| 24 |
let dismissalBlock: (_: VC.DismissalTargetContext, _: Bool, _: ((_: RoutingResult) -> Void)?) -> Void
|
|
| 25 |
|
|
| 26 |
// MARK: Methods
|
|
| 27 |
|
|
| 28 |
/// Constructor
|
|
| 29 |
///
|
|
| 30 |
/// - Parameter dismissalBlock: Block that will trigger the dismissal process when `Dismissible` `UIViewController` calls
|
|
| 31 |
/// `Dismissible.dismissViewController(...)` method.
|
|
| 32 |
public init(dismissalBlock: @escaping (_: VC.DismissalTargetContext, _: Bool, _: ((_: RoutingResult) -> Void)?) -> Void) {
|
13x |
| 33 |
self.dismissalBlock = dismissalBlock
|
13x |
| 34 |
}
|
13x |
| 35 |
|
|
| 36 |
public func perform(on viewController: VC, with context: C) throws {
|
12x |
| 37 |
viewController.dismissalBlock = dismissalBlock
|
12x |
| 38 |
}
|
12x |
| 39 |
|
|
| 40 |
}
|
|


Example
Possible inputs:
[ {Age : 20}, { SeniorContent :"asd"} ]
Or
Any valid JS array of objects with key value pair
Expressions:
A valid expression be a IF.. THEN ..ELSE type of expression
1. if (@{Age} != "40" AND @{SeniorContent} == "asd") then "yes" else "no"
2. if (@{Age} > "40") then "age greater" else "age smaller"
@{variable} will take values from the input array.
More Examples:
Question: "For BeginsWith if we give a literal in string will it work as well?"
For eg:
if (@{A} BeginsWith (“a”))
or
if (@{A} Contains (“a”))
something like this?
Answer: While it could be made to work like that the Input = is setup to set a Variable to hold say a literal,
thus then the If Then Expression would end up having the Variable
Current way to achieve this:
Input => [{A: "asd"}, {B : "a"}]
If Then Expression => if (@{A} BeginsWith (@{B})) then "yes" else "no"


1)
All students went to Ocean Park yesterday.
2)
The doctor checked Peter’s
eyes.
3)
His dog, Mischief played
in the park.
4)
Tomorrow is a Tuesday.
5)
My grandmother’s birthday is
in December.
6)
Mark and his friends
are hosting the Annual Day.
7)
Cape Town is a beautiful
city in South Africa.
8)
David’s elder brother is
studying at college.
9)
Ivan and Ivanka are
siblings.
10)
Sarah walked to the
library to return her
book.


transportation time EMS MEMC sequential-conveyance app. hospitals method medical conventional patients emergency {border-style distance Med different px;} #ffffff;} prehospital patient Panel efficiency method, Xiaolin care casualties sent Emerg TEmin study transferred ambulances case hospitals, minimum trauma climate disaster maximum method. px; total transfer {font-family TEmax Taiwan, Typhoon care. casualty font-size hospital retention transportation. (Figure Care DE, Disaster Figure apparent area catastrophic double; flow real-life response second-line survivors value Ann Change Climate MEMC. Supplemental TE, ambulance border-color border-width comparison effect event extreme first-line health lines requested required scenario selection shown situations solid; suggested triage values {font-style {font-weight (app. DEmax DEmin Emergency Health Jiasion MCI MCI, MEMC, MEMCs Map National PR, Science approximate bold bypass calculations, change classified compared concept courier; elementary em; first-aid max min mortality nonpatient obtained. patients. people physicians project pt;} random rd-L real reduce rural selected services study, survival third-line transferral transportation, transported treatment. used using village village, weather


Iván Sánchez Ortega
[This space for rent]
<EMAIL_ADDRESS>- Travel to Portland, Oregon, USA
- Attend FOSS4G
- Summarize the state of the art of geospatial data storage
For all of us who couldn't attend FOSS4G...
⇨
... a thousand million times
Assume rendering is slow
disk i/o, network i/o, reprojection, bad code
Assume you know what the bottleneck is
Use cheap hardware
recommended ≤ 2 CPU cores and ≤ 1 GiB RAM
don't use SSDs, RAID nor NAS
Use WMS
Unless you really, really know what you're doing
Trust standards designed by committee
Unless you really, really know what you're doing
Reproject coordinates on-the-fly
Map projection ≠ data projection
Do not transform your data for exploitation
Database normal forms are always your friends
Render multithreaded under high load
Danger of contention
Keep CPU load > number of cores
And remember to not monitor it
Render large datasets multiprocess
Keep number of cores * working set > RAM
Render tiles multi-threaded and multi-process
Use multi-process and multi-thread for the same operation
Don't care about the difference between processes and threads
Shared memory, process contexts
Place a lot of text labels
Don't care about algorithmic complexity
If you do, use things heavier than O(n*log(n))
Use round line-joins for detailed lines
Go way beyond "good enough"
Don't use (spatial) database indexes
Don't vacuum your DB
Hiring DBAs is too expensive
Query more data than you need
Bonus points if you
Load (or traverse) the entire dataset in memory every time
Hint: don't use WHERE in your SQL clauses
Always use a fully-detailed coastline
Bonus points if > 1000 coastline segments inside 1 pixel
Bonus points if rendering artifacts
Do not transform your data for exploitation
If you're think you're better than the rest of the world,
Write your own server
Cache too much
Preemtively, or renders of rapidly-changing data
Use old OS or old libs
RHEL anyone?
Do batch processing in serial
Don't use mechanisms for parallelization
Use only one domain name for your map server
- a.tile.openstreetmap.org
- b.tile.openstreetmap.org
- c.tile.openstreetmap.org
- d.tile.openstreetmap.org
Use old OpenLayers 2 plus mouse scrollwheel
Make sure your clients make needless requests


SHINE ON! -- A look at director Scott Hicks' next project - SNOW FALLING ON CEDARS
An interview by Athan Bezaitis for Filmcritic.com Copyright Athan Bezaitis 1999
Director Scott Hicks is uncompromising in his approach to filmmaking. During pre-production for his first feature he insisted that Geoffrey Rush, at the time a struggling Australian theatre actor, was the only one who could play the role of pianist David Helfgott. Hicks would not be satisfied until he had the right man, and his mulishness proved to be brilliant insight when SHINE became a resounding hit at the 1996 Sundance Film Festival. It went on to receive seven Academy Award nominations including the best actor award for Rush and a nomination for Hicks as best director.
In the wake of SHINE's dazzling success, Hicks was inundated with hundreds of screenplays and offers to direct, but nothing caught his eye. But he had read David Guterson's incredibly popular novel Snow Falling On Cedars and felt compelled to tell its fascinating story, but was disappointed to learn that the rights had already been purchased by a major studio. Eventually word got out about Hicks' interest, and when the screenplay made its way to his home in Australia, he jumped at the offer. As both director and devout fan of the book, his vision of SNOW FALLING CEDARS was to recreate more than just the plot of the deep and powerful novel. He wanted the moviegoer's experience to have the same feel of absorption as actually reading the book.
Faced with the arduous task of adapting such a complex novel into film, plus having to measure up to all the expectations created by his first film, Scott Hicks has reached a crossroads in his career. Will his second film vault him into elite status among the finest directors, or will it set him back, raising questions of whether or not he's a `one hit wonder'? Hicks confronted these daunting issues and more as I spoke with him after a private screening.
filmcritic.com: Your debut film SHINE is almost universally loved and accepted. It resurrected David Helfgott's career. It also transformed you from documentaries to a major player in the world of full-length feature film. No matter how good SNOW FALLNG ON CEDARS turns out to be, do you feel any added pressure for this film to succeed because of your success with SHINE?
Scott Hicks: Nothing is ever going to be the same again. SHINE was a unique experience and very few people are ever lucky to feel that degree of universal acceptance. After years of really struggling to get noticed as a filmmaker, the fact that there is anticipation and expectation attached to this film is a huge relief. At least I know that people are going to pay attention. Whether or not they'll like it is the really important part. What SHINE has done is ignite a career for me. It has given me the opportunity to make this film, which is quite different, and hopefully will be just as successful.
filmcritic.com: What first drew you to David Guterson's novel Snow Falling on Cedars?
Scott Hicks: Reading the novel was such an awe-inspiring experience for me because it's so densely detailed and atmospheric. I felt completely immersed. It was like entering another world with layer upon layer of detail that just accumulates and secretes until you realize that you're completely embedded. Within that world you have such powerful characters and this intense human drama. It is essentially a love story that is dashed against the epic events that occur which are out of the character's control.
filmcritic.com: Because the atmosphere affected you so powerfully, is that why you took ten months of location scouting and why you heavily collaborated with author David Guterson to create the right setting?
Scott Hicks: I needed to immerse myself in that world and that environment. The locations were extremely important. Not just for the vistas but because I wanted it to feel like an authentic island setting, and it was great to have David as a reality check. I didn't want to make some silly blunder with something that would make it appear or feel artificial.
filmcritic.com: When did Robert Richardson (Director of Photography -- PLATOON, WAG THE DOG, and THE HORSE WHISPERER) become involved in the project?
Scott Hicks: I knew his work from all sorts off films that I'd seen and I was a huge admirer of his. When you're choosing people to work with it's kind of like casting. It's something Frank Zappa used to do when he was auditioning musicians. You take it for granted that they have the musical credentials, but you need to know whether or not they're going to have a sense of humor. Or whether or not you're going to be able to get along with them? So I meet Bob and we just hit it off right away. He's a very charismatic character so we really connected. He got involved a couple of months before shooting. We sat down and went through books of still photography and we shared our ideas of the graphic design, the shape, and feel for the film.
filmcritic.com: Was there any specific photographer whose pictures you used in collaboration?
Scott Hicks: Harry Callahan and Robert Frank both had important and unique details in their photographs that we felt we could use because they best represented the era of 1950's and the setting, which is a small fictional island off the coast of Puget Sound. In designing some of the sets I would say, "Where's the Callahan moment we can use here?"
filmcritic.com: That amazing opening scene that appears to be shot under one key light source, just a lantern being held up by a fisherman. How did you go about choosing that unique approach?
Scott Hicks: There was a lot of elaborate preparation in creating it like that and interestingly it was the very first shot of the film, which is quite rare.  That's the whole idea about wanting to immerse people. Just like in the book. The introduction allowed me to set the overall tone that the movie is more about atmosphere than it is about plot. This is not a whodunit. The details of the trial and whose blood was on the railing of the boat is not the point. It's more about what is happening between these people and how it will be resolved. Which is why I took the attitude that this is not a courtroom drama. The courtroom is simply a crucible within which, everyone is confronting his or her memory. That's why the film is constructed as an attempt to simulate how one's mind works. It constantly flashes from one thought to the next, which is a more humanistic way of thinking for it allows us to ponder the future, dwell in the past, or even contemplate a dream world.
filmcritic.com: When did that structure of having the movie revolve around memory and flashbacks come about? Was that the plan from the start or did it come about gradually?
Scott Hicks: What I didn't want to do was have this dry formulaic flick where you have three stories in which you did a little bit of one and then a bit of another. With such a conventional approach you can lose people, as they tend to prefer one specific part of the story. I decided that we had to shatter it. When we were editing I got myself an editor (Hank Corwin -- JFK, NIXON, and NATURAL BORN KILLERS) that was well equipped to do it and he worked through all the material with me. We started from the way it was scripted and shot and then we pushed it to the limit. I took some bold decisions with the cinematographer and bold decisions with the editor and composer. My attitude was, "Let's go for it!"
filmcritic.com: SNOW FALLING ON CEDARS has quite an eclectic cast from Sam Shepard to Max Von Sydow, who really stands out in his role as defense attorney. Could you explain a little more about your casting process and how you went about getting such a wide variety of actors for this movie?
Scott Hicks: That's such a huge part of my job. First comes casting and second I need to assure that the whole ensemble is acting in the same movie! Everybody brings their own methods to the game and unless you're very careful you'll find that they're off on wild tangents from each other. One of the delights with the success of SHINE was that actors saw me as a director that would pay them a lot of attention because in Hollywood the performer is often the last person to get any consideration in formulating the film.
filmcritic.com: You seem to have the virtue of being able to communicate your work so well with actors. What kind of preparation do you do with these actors to coax such impressive performances out of them?
Scott Hicks: A lot of it goes back to casting. You bring an actor into the whole process based upon what they are capable of doing and then you develop an individual relationship with him or her. Part of my strategy is that I don't like to rehearse a great deal. I like to talk through everything with the actor. I want to essentially learn from them a sense of what they want to do. It's a very delicate balance and you have to carefully gauge when to interfere and when to stay the hell out of it and let the carpet unfold. I'm very much in tune with my actors. >From elderly actors to children the most important part is to get what you want out of them and the most successful medium usually arrives when we both are happy.
filmcritic.com: You got a great performance from Max Von Sydow. His role seems to be the one that radiates most throughout the film. How did you approach working with him?
Scott Hicks: Max wrote me a beautiful letter after the film was finished, which I now treasure. When I was working with him he asked me, "How do you get things so quiet on the set?" Because I tend to talk very quietly and I told my assistant that I wanted no radios, cell phones, or megaphones. Everybody had to be quiet because I wanted to create an atmosphere that just lets the actors do what it is they had to do. Normally there's a hubbub of activity leading up to every scene and then suddenly there's silence and "action!" All at once the actor is forced to get out of the gate and do their thing. I like them to feel that there's a certain quiet atmosphere in which they can think without distractions. That's pretty much what I did for Max. I created an environment so that he could best do what he's equipped to do. I mean here's an actor supreme and all I did was help with subtle nuances and made tiny suggestions. His letter just thanked me for making the role so perfectly suited for his strengths.
filmcritic.com: Since you've done a lot of documentary films in the past, has that made an impact on your overall approach to narrative film?
Scott Hicks: It's had a lot of impact. It's made me much more confident in relying on my instincts in capturing what I've set in motion. You have to create the scenario. It really started with Geofferey Rush on SHINE although there's no improvisation in Geoffrey's performance, every syllable that he utters is in the script is written on the page, but the challenge for me was to help him find the identity of the character, create the situation, and let him go. We would then film it as though it was never going to happen again. Now that's like documentary where you don't get a second chance. You've got to catch it and you've got to look for the detail that you're going to piece together to tell that story. You can't just set a camera there and let everybody just parade in front of it and hope that the audience is going to make sense of it. You're still telling a story. Everything from those "Callahan moments" to the color of a woman's lips, to the shaking of Max Von Sydow's hands is relevant.
filmcritic.com: Going back to when you first read the novel. As a filmmaker, do you envision certain actors like Ethan Hawke or Sam Shepard in your mind as you read the story?
Scott Hicks: Not when I first started reading the book but when I got the screenplay and began working on the script certain faces started to come into my mind and Sam Shepard was one of those characters that could portray Ishmael's (Ethan Hawke) father. He's very selective in the roles that he chooses. He's only made eight movies in his whole career and his film credits are staggering. I thought that there wasn't a chance in hell that he'd want to do this movie with me, but when I asked he was thrilled.
filmcritic.com: This novel was so popular. Obviously adapting novels is not easy, but some of the greatest films ever have been adaptations from books like LOLITA and PATH OF GLORY. Was it a difficult adaptation because of the complexity of the book and do you think its readers will be happy with the movie?
Scott Hicks: I was determined that I would not betray the reader. That doesn't mean that I was going to be slavishly faithful to the novelist but I felt that this book was not about plot rather than atmosphere and emotion. Those were the essential ingredients that I want to keep in the same faith with the novel and where a lot of adaptations stumble is how they boil the novel down to just the plot line and only try and tell element of the story.  It doesn't resemble the experience of reading the book so I wanted SNOW FALLING ON CEDARS to be a cinematic version of reading the book. The film is a total immersion of sight and sound where it's all coming at you at once until that climactic point when you see the whole fragmented film pieced together. The greatest test for me was asking the author David Guterson himself. When I first showed it to him I was nervous with trepidation and when he saw it, he embraced me and said, `There's not one thing about that film that could have been better.'  What was that all about?
Scott Hicks: I was going to study law at Adelaide University in Australia and was all signed up. I'd been enrolled and accepted and then I went to go see a musical `VietRock" and at the end of it they said there would be a discussion that would be chaired by a philosophy professor from a new university that had been established a few years earlier. I thought it would be some boring old fart that would just talk my ears off when all of the sudden this guy came down the aisle in his mid fifties with long hair and denims and I thought he looked pretty cool. Strangely enough, he looks sort of like I do now. I decided to stay and watch him speak and afterwards went to visit the university. I found it extremely interesting and decided to enroll there but I wanted to do English and History. They said I couldn't mix disciplines with major subjects so I had to choose something else. So I decided to do English and a much easier subject in drama, which would act as adjunct to English. It ended up changing my life.
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


OER
Ghana
Do you want to change education in Ghana?
Do you want to build your leadership and tech skills?
to at Ravensbourne College, London, UK
Celebrate the launch of the OER Ghana network
to at TBD
Learn more about our network and get a personal website
Every participant gets a website. The first infastructure a network needs is your own.
Using the open source platform Known participants track learning and teaching using cool tools like webmentions
Every network gets a wiki. Participants curate and create open educational resources to be used across Ghana.
Check out the wiki for the Accra .
Using the open source client Riot, every group also gets a matrix chat room.
Own your connections
Leadership and membership are open to all.
To join our movement attend two of our meetups. We will help you create a personal website
Events include leadership training activities and personal hacking time
Take what you learn and start a local movemenet
Host two events and we will help set you up with resources