Code style
Please follow these coding standards when writing code for inclusion in BeeWare projects. Unless otherwise specified, follow PEP 8 (with careful attention paid to Section 2) Use flake8 to check for problems in this area. Remember that PEP 8 is only a guide, so respect the style of the surrounding code as a primary goal.
An exception to PEP 8 is our rules on line lengths. Don't limit lines of code to 79 characters if it means the code looks significantly uglier or is harder to read. We allow up to 119 characters as this is the width of GitHub code review; anything longer requires horizontal scrolling which makes review more difficult. This check is included when you run flake8. Documentation, comments, and docstrings should be wrapped at 79 characters, even though PEP 8 suggests 72.
Use four spaces for indentation.
Use four space hanging indentation rather than vertical alignment:
raise AttributeError( 'Here is a multine error message ' 'shortened for clarity.' )
Instead of:
raise AttributeError('Here is a multine error message ' 'shortened for clarity.')
This makes better use of space and avoids having to realign strings if the length of the first line changes.
Use single quotes for strings, or a double quote if the the string contains a single quote. Don't waste time doing unrelated refactoring of existing code to conform to this style.
Avoid use of "we" in comments, e.g. "Loop over" rather than "We loop over".
Use underscores, not camelCase, for variable, function and method names
Use InitialCaps for class names (or for factory functions that return classes).
Use the Google Style Python Docstrings and PEP 257, type annotation with PEP 484 is optional.
def function_with_types_in_docstring(param1, param2): """Example function with types documented in the docstring. Args: param1 (int): The first parameter. param2 (str): The second parameter. Returns: bool: The return value. True for success, False otherwise. """
In test docstrings, state the expected behavior that each test demonstrates. Don't include preambles such as "Tests that" or "Ensures that".
Reserve ticket references for obscure issues where the ticket has additional details that can't be easily described in docstrings or comments. Include the ticket number at the end of a sentence like this:
def test_foo(): """A test docstring looks like this (#123456). """
Imports
Use isort to automate import sorting using the guidelines below.
Quick start:
$ pip install isort $ isort -rc .
This runs isort recursively from your current directory, modifying any files that don't conform to the guidelines. If you need to have imports out of order (to avoid a circular import, for example) use a comment like this:
import module # isort:skip
Put imports in these groups: standard library, third-party libraries, other BeeWare components, local BeeWare component, try/excepts. Sort lines in each group alphabetically by the full module name. Place all import module statements before from module import objects in each section. Use absolute imports for other BeeWare components and relative imports for local components.
On each line, alphabetize the items with the upper case items grouped before the lower case items.
Break long lines using parentheses and indent continuation lines by 4 spaces. Include a trailing comma after the last import and put the closing parenthesis on its own line.
Use a single blank line between the last import and any module level code, and use two blank lines above the first function or class.
Miscellaneous
Remove import statements that are no longer used when you change code. flake8 will identify these imports for you. If an unused import needs to remain for backwards-compatibility, mark the end of with # NOQA to silence the flake8 warning.
Systematically remove all trailing whitespaces from your code as those add unnecessary bytes, add visual clutter to the patches and can also occasionally cause unnecessary merge conflicts. Some IDE's can be configured to automatically remove them and most VCS tools can be set to highlight them in diff outputs.
Sign your work
Before we can merge your contribution into BeeWare, you need to give us permission to do so. Since you're an author of a creative work (a piece of code, or some documentation), you automatically own the copyright for that work. BeeWare can't legally use that contribution unless you give us permission to do so.
The BeeWare project uses a mechanism known as a Developer Certificate of Origin (DCO) to manage this process. The DCO is a legally binding statement that asserts that you are the creator of your contribution, and that you wish to allow BeeWare to use your work.
To indicate that you agree to the terms of the DCO, you just add a line to every git commit message:
Signed-off-by: Joe Smith<EMAIL_ADDRESS>If you set your user.name and user.email as part of your git configuration, you can sign your commit automatically with git commit -s.
If you have more questions about Developer Certificates of Origin, why they are required, what they mean, and how to configure your system to use them, see The Beginners Guide to DCOs, or get in touch with the core team.


Identify the Miner
{{.HeaderData.Designation}} pool currently supports:
- Innosilicon D9
- Antminer DR3
- Obelisk DCR1
- Antminer DR5
- Whatsminer D1
For Innosilicon D9 the pool only supports D9_20180602_094459.swu firmware, ensure the D9 has the supported firmware before connecting.
Connect the Miner
To connect, set the pool URL to 'localhost', and the miner port to:
- {{.MinerPorts.innosilicond9}} (Innosilicon D9)
- {{.MinerPorts.antminerdr3}} (Antminer DR3)
- {{.MinerPorts.obeliskdcr1}} (Obelisk DCR1)
- {{.MinerPorts.antminerdr5}} (Antminer DR5)
- {{.MinerPorts.whatsminerd1}} (Whatsminer D1)
The username of the miner should be the payment address for receiving rewards and a unique name identifying the client, formatted as 'address.name'
Confirm Miner Connection
To confirm a miner connection, look up its account information with its associated miner address.
The miner should be listed as a connected miner with its curent hash rate in the 'Connected Clients' section.


About
Introduction to the Preservation Assistant
The Preservation Assistant ('PA') is used independently within the SCIDIP-ES e-Infrastructure to support the process of creating and populating the contents of a registry-repository with preservation data.
Used in conjunction with the RepInfo Registry-Repository Service component, it provides data preservation staff with a simple, intuitive means to preserve knowledge of dataset elements, and optionally preserve the elements themselves within a SCIDIP repository.
Documentation
The latest version of the PA user manual can be downloaded here: [TBC]
Download
You can download the latest version of the PA web application here (includes all dependencies):
http://nexus.scidip-es.eu/content/repositories/releases/eu/scidipes/toolkits/pa-webapp/


HELLO!😜
Some dreams can never be realized, even if they are said to be very luxurious. But if you don't say it to warm yourself, you won't get the motivation to move forward.
——JBD
| Chinese Name | : | 李辉恒 |
| English Name | : | Ben |
| Hobbies | : | photograph,coding,travelling |
| Job | : | student,volunteer,programeer,photographer |
Skills
-
c
Statistics
-
J
Web Designing
-
K
Photographing
-
W
Swimming
-
U
Coding
-
H
Writing
Experience
-
HG Primary School
2013-2019
-
HG Junior High School
2019-2021
-
GD Experimental High school
2021-
-
FUTURE
UNKNOWN
Score


Residency for dance artist
A dancer who grew up in Rolleston, has been chosen to create her own dance work at The Arts Centre.
Olivia O'Brien, who trained at the Garmonsway School of Dance and Hagley Dance Company has been the first to be selected for the 2019 DANZ Dance Residency.
The programme is being delivered for the first time in city by DANZ in partnership with The Arts Centre and Movement Art Practice.
O'Brien said the residency is a chance for her as a choreographer to grow and develop her skills as a dance artist.
"The residency has given me time and space to experiment with ideas and processes to see how I create as freelancer," she said.
DANZ executive director Sheryl Lowe said The Arts Centre was an exciting place to host its third dance residency.
"We hope this residency will contribute to the reinvigoration of the arts and dance community in Christchurch and help to build on the wonderful progress already being made."
In an exciting new collaboration between DANZ, The Arts Centre and Movement Art Practice, the residency will be hosted over two weeks in Christchurch.
The residency is set to take place in alignment with the Ōtautahi Tiny Performance Festival on November 30 curated by Movement Art Practice.
The DANZ Dance Residency is aimed at an independent dance artist seeking to develop their practice and is part of DANZ’s strategy to further expand its support to new graduates in the professional dance sector.
O'Brien will be based at The Arts Centre until November 29 and will have the opportunity to work with assigned dancers and to have access to a dance mentor throughout the two-week period of the residency.
At the end of the residency, she will present the work she has created at a showing at the festival. She will also facilitate a workshop at The Arts Centre.
O'Brien is in her final year at Unitec in the Bachelor of Performing and Screen Arts (Contemporary Dance) in Auckland.
"I am excited for the opportunity to return to my hometown, Christchurch, for this residency to develop my practice. For me, this residency will allow me to come home and re-establish old connections and relationships", she said.
O'Brien residency project, From Residence, will be developed as a duet on her residency dancers, and will explore her interest in making work that pushes boundaries, provoking and subverting expectations through well crafted, dynamic and virtuosic movement.


MatrixToImageWriter
.MatrixToImageConfig.BLACK
and off color MatrixToImageConfig.WHITE
, generating normal
black-on-white barcodes.BitMatrix
to BufferedImage
,
file or stream.BitMatrix
as an image, where "false" bits are rendered
as white, and "true" bits are rendered as black.toBufferedImage(BitMatrix)
, but allows customization of the output.BitMatrix
to a file with default configuration.writeToFile(BitMatrix, String, File)
, but allows customization of the output.BitMatrix
to a stream with default configuration.writeToStream(BitMatrix, String, OutputStream)
, but allows customization of the output.Copyright © 2007–2017. All rights reserved.


Neuroplasticity
Neuroplasticity is the way in which permanant learning takes place within the brain. It is the way that the neurons
in our brain connect and create pathways. Repeating activities strengthens pathways in our brain, making the connection
stronger and thus making it easier for the brain to do tasks. A good way to engage with neuroplasticity is to keep practicing.
For me, the main way will benefit me is through repetition of code. This will help me both with my tying and with the coding itself.
The main way to increase neuroplasticity is just through repetitions. Doing something over and over will strengthen the pathways in your
brain and increase your proficience in the activity.
Growth Mindset
When looking at how people learn, there are two mindsets. The fixed mindset, and the growth mindset. Someone with a fixed mindset
believes that they are limited to what they know. For example, someone struggling in school may have a fixed mindset if they believe
they are not good at maths or english, and so there is no way they can do well. A growth mindset, on the other hand, is someone who
always believes they can be better. They are not put off my setbacks, and understand that hard work will take effort to complete.
Whilst this idea is not new to me, the task was more of a reminder of how the mindsets differ, and I learnt a lot more about the actual benefits
of a growth mindset. In the past, throughout school, I have always been at the top of the class. I never really had to try or put any effort in to
achieve this. Now, looking back, I have developed somewhat of a fixed mindset towards some things in life. As such, I will be looking for ways to
improve my mindset and put more effort into places that have been lacking it. I will look to not stop learning once I am above my peers, but when
I have done all that I can.


the and trials COVID- clinical (.) for The {background Chinese with were PubMed from margin []. which {border-style case px;} #ffffff;} patients that registered was PMID: Republic against have not trials, (.%) cells interventional interventions ;():–. China drugs stem this treatment trial Changchun ChiCTR Hospital May design number such these vaccines .%), COVID-. Central PMCID: University anti-viral cases has including most studies used MedicineChangchunPeople’s PMCPMC. are been candidate doi: outbreak phase primary px; {font-family April COVID-, Clinical Medicine analysis coronavirus data disease early evidence font-size intervention more results study will .%). Among Department, Med. SARS-CoV- Table Traditional double; focused might pneumonia remdesivir three Phase (interventional .%) ChiCTR. DOI:./s-()-. DOI:./s---. For January Lancet. Microbes Organization Our Trial benefit border-color border-width confirmed current drugs, followed investigators n = ) our outcomes public review sample severe solid; studies, trials. two vaccine {font-style {font-weight (n = ) Affiliated Health III Jilin Jun Medicine, Res. TCM Zhang, [published ahead al.A anti-malarial any approved blood bold characteristics collab: common conducted controlled cord courier; did effective efforts em; facilities found health information may mesenchymal new novel one online other pandemic performed plus prevention print, pt;} randomized related should showed submitted than their using virus


|
| Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |
The UserData data object type maps to the UserData key in the sysprep.xml answer file. These values are transferred directly into the sysprep.xml file that VirtualCenter stores on the target virtual disk. For more detailed information, see Performing Unattended Installations.
Properties
| Name | Type | Description |
|---|---|---|
| computerName | CustomizationName |
The computer name of the (Windows) virtual machine. Computer name may contain
letters (A-Z), numbers(0-9) and hyphens (-) but no spaces or periods (.).
The name may not consists entirely of digits.
Computer name is restricted to 15 characters in length. If the computer
name is longer than 15 characters, it will be truncated to 15 characters.
|
| fullName | xsd:string |
User's full name.
|
| orgName | xsd:string |
User's organization.
|
| productId | xsd:string |
Microsoft Sysprep requires that a valid serial number be included in the answer
file when mini-setup runs. This serial number is ignored if the original guest
operating system was installed using a volume-licensed CD.
|
| Properties inherited from DynamicData | ||
| None |
| Top of page | Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |


Beta This is a test version of the layout of this page. Take the survey to help us improve it
Collection
This annual report consists of a commentary, schools and further education and skills reports and eight regional reports.


How to handle and display errors for user input?
Warning: this document contains unfinished and untested code. You can help out via GitHub.
Test 1: Custom message with
Test 2: Custom message style with novalidate
In order to customise any validation messages we need to disable the default validation bubbles. We can then check validity of the form with checkValidity
.
NOTE: There is no scripting behind this as of yet.


Have you ever heard these or other explanations of what Jesus might have been writing that day—or made your own guess? What do you think He was writing?
After all of the scholarship and study and discussion of what Jesus might have written that day, all we have are just good guesses. We’ll never know what He wrote.
Reread John 8:7-8. After Jesus stood up and spoke to the woman’s accusers, what did He do next?
We will come back to Jesus’ statement to the woman’s accusers in a moment. For now, I want to draw your attention to the fact that Jesus wrote not only once but twice in this story. The second time, after Jesus diffused the conflict, He wrote while her accusers trickled away, and He stopped only after they all left.
Why all this writing in the dirt? Why does the Gospel of John even include this detail in the story if it would just leave us with more questions than answers?
It’s interesting that this is the only time in the Gospels we’re ever told Jesus wrote anything. We don’t have a record of Him writing a book or a letter or even His name.
Outside of the Gospel stories, though, we do have images of God writing, inscribing things for us to remember through history. If we look at those other times God wrote, we might have some clues of the purpose of Jesus’ writing in this story. We might be able to match the handwriting of God with the actions of Jesus in this story to find out more about what was going on.
First, there are the Ten Commandments.
Read Exodus 31:18 and fill in the blanks:
When the Lord finished speaking to Moses on Mount Sinai, he gave him the two tablets of the covenant law, the tablets of stone by the of God. (NIV)
The Ten Commandments were the ultimate standard for those who followed the law of Moses. And let’s not forget that one of those commandments was “Thou shalt not commit adultery,” the one that the accusers were supposedly so incensed that this woman had broken. That law was written in the first place by


Across: 1. It may cause great loss of heart (10) 6,16. 11 spot where 20 hit hard, because initial outlays ruined island (3 2 5) 9. Good to be surrounded by level type of snake (5) 10. Caught up in damaged net, tried to catch fish (9) 11. Wanting new girl? Young lady is sipping a large water... (11) 13. Disappointing score for vanilla core (3) 14. see 21 across 16. see 6 across 19. Get rid of old country (7) 20. Terrible 3 down harm came about (7) 21,14. Learn, so this place might survive future 3 down (3 7) 22. Pinching PM in meeting right out of order! (11) 24. Great dominator of Turks relaxed an order (9) 26. One pimple containing massive head and huge 1 across (5) 27. ... --- ... ? (3) 28. Rock afficianados to lose gigs with new arrangement (10) Down: 1. Coming from miserable Exeter, pom unprepared (9) 2. Celebrates royal epochs (5) 3. It may cause great loss, and wildly churn air before the end (9) 4. French one at work? Yes please - rest not so good! (6 5) 5. Flier falls short of strip (3) 6. Being able to speak for more than one group? (9) 7. Jump between registers during upcoming sale, do you? (5) 8. Counter opens to accommodate next terrific influx (4) 12. Street criminal immersed in toxic substance, which should get rid of the problem (4 7) 15. Cow taken by wandering eels... do such things usually pose hazard to livestock? (9) 17. Awkward fish swallowing moth (9) 18. Watches made by Swiss group made exotic sounds, ultimately captivating gallery (9) 21. Gets close to snare lunatic (5) 22. I managed to be a neigbour to the Turks (4) 23. Stone and Watson perhaps with same movements around start of May (5) 25. If you don't finish what you're eating, you'll ultimately do this (3)


mne.preprocessing.
ICA
(n_components=None, max_pca_components=None, n_pca_components=None, noise_cov=None, random_state=None, method='fastica', fit_params=None, max_iter=200, verbose=None)¶M/EEG signal decomposition using Independent Component Analysis (ICA)
This object can be used to estimate ICA components and then remove some from Raw or Epochs for data exploration or artifact correction.
Caveat! If supplying a noise covariance keep track of the projections available in the cov or in the raw object. For example, if you are interested in EOG or ECG artifacts, EOG and ECG projections should be temporally removed before fitting the ICA. You can say:
>> projs, raw.info['projs'] = raw.info['projs'], []
>> ica.fit(raw)
>> raw.info['projs'] = projs
Note
Methods implemented are FastICA (default), Infomax and Extended-Infomax. Infomax can be quite sensitive to differences in floating point arithmetic due to exponential non-linearity. Extended-Infomax seems to be more stable in this respect enhancing reproducibility and stability of results.
| Parameters: | n_components : int | float | None
max_pca_components : int | None
n_pca_components : int | float
noise_cov : None | instance of mne.cov.Covariance
random_state : None | int | instance of np.random.RandomState
method : {‘fastica’, ‘infomax’, ‘extended-infomax’}
fit_params : dict | None.
max_iter : int, optional
verbose : bool, str, int, or None
|
|---|
Attributes
| current_fit | (str) Flag informing about which data type (raw or epochs) was used for the fit. |
| ch_names | (list-like) Channel names resulting from initial picking. The number of components used for ICA decomposition. |
n_components_ |
(int) If fit, the actual number of components used for ICA decomposition. |
| n_pca_components | (int) See above. |
| max_pca_components | (int) The number of components used for PCA dimensionality reduction. |
| verbose | (bool, str, int, or None) See above. |
pca_components_ |
(ndarray) If fit, the PCA components |
pca_mean_ |
(ndarray) If fit, the mean vector used to center the data before doing the PCA. |
pca_explained_variance_ |
(ndarray) If fit, the variance explained by each PCA component |
mixing_matrix_ |
(ndarray) If fit, the mixing matrix to restore observed data, else None. |
unmixing_matrix_ |
(ndarray) If fit, the matrix to unmix observed data, else None. |
| exclude | (list) List of sources indices to exclude, i.e. artifact components identified throughout the ICA solution. Indices added to this list, will be dispatched to the .pick_sources methods. Source indices passed to the .pick_sources method via the ‘exclude’ argument are added to the .exclude attribute. When saving the ICA also the indices are restored. Hence, artifact components once identified don’t have to be added again. To dump this ‘artifact memory’ say: ica.exclude = [] |
| info | (None | instance of Info) The measurement info copied from the object fitted. |
n_samples_ |
(int) the number of samples used on fit. |
labels_ |
(dict) A dictionary of independent component indices, grouped by types of independent components. This attribute is set by some of the artifact detection functions. |
Methods
__contains__ (ch_type) |
Check channel type membership |
__hash__ () <==> hash(x) |
|
apply (inst[, include, exclude, ...]) |
Remove selected components from the signal. |
copy () |
Copy the ICA object |
detect_artifacts (raw[, start_find, ...]) |
Run ICA artifacts detection workflow. |
find_bads_ecg (inst[, ch_name, threshold, ...]) |
Detect ECG related components using correlation |
find_bads_eog (inst[, ch_name, threshold, ...]) |
Detect EOG related components using correlation |
fit (inst[, picks, start, stop, decim, ...]) |
Run the ICA decomposition on raw data |
get_sources (inst[, add_channels, start, stop]) |
Estimate sources given the unmixing matrix |
plot_components ([picks, ch_type, res, ...]) |
Project unmixing matrix on interpolated sensor topogrpahy. |
plot_overlay (inst[, exclude, picks, start, ...]) |
Overlay of raw and cleaned signals given the unmixing matrix. |
plot_properties (inst[, picks, axes, dB, ...]) |
Display component properties: topography, epochs image, ERP/ERF, power spectrum and epoch variance. |
plot_scores (scores[, exclude, labels, ...]) |
Plot scores related to detected components. |
plot_sources (inst[, picks, exclude, start, ...]) |
Plot estimated latent sources given the unmixing matrix. |
save (fname) |
Store ICA solution into a fiff file. |
score_sources (inst[, target, score_func, ...]) |
Assign score to components based on statistic or metric |
__contains__
(ch_type)¶Check channel type membership
| Parameters: | ch_type : str
|
|---|---|
| Returns: | in : bool
|
Examples
Channel type membership can be tested as:
>>> 'meg' in inst
True
>>> 'seeg' in inst
False
__hash__
() <==> hash(x)¶apply
(inst, include=None, exclude=None, n_pca_components=None, start=None, stop=None)¶Remove selected components from the signal.
Given the unmixing matrix, transform data, zero out components, and inverse transform the data. This procedure will reconstruct M/EEG signals from which the dynamics described by the excluded components is subtracted.
| Parameters: | inst : instance of Raw, Epochs or Evoked
include : array_like of int.
exclude : array_like of int.
n_pca_components : int | float | None
start : int | float | None
stop : int | float | None
|
|---|
compensation_grade
¶The current gradient compensation grade
copy
()¶Copy the ICA object
| Returns: | ica : instance of ICA
|
|---|
detect_artifacts
(raw, start_find=None, stop_find=None, ecg_ch=None, ecg_score_func='pearsonr', ecg_criterion=0.1, eog_ch=None, eog_score_func='pearsonr', eog_criterion=0.1, skew_criterion=-1, kurt_criterion=-1, var_criterion=0, add_nodes=None)¶Run ICA artifacts detection workflow.
Note. This is still experimental and will most likely change. Over the next releases. For maximum control use the workflow exposed in the examples.
Hints and caveats: - It is highly recommended to bandpass filter ECG and EOG data and pass them instead of the channel names as ecg_ch and eog_ch arguments. - please check your results. Detection by kurtosis and variance may be powerful but misclassification of brain signals as noise cannot be precluded. - Consider using shorter times for start_find and stop_find than for start and stop. It can save you much time.
Example invocation (taking advantage of the defaults):
ica.detect_artifacts(ecg_channel='MEG 1531', eog_channel='EOG 061')
| Parameters: | raw : instance of Raw
start_find : int | float | None
stop_find : int | float | None
ecg_ch : str | ndarray | None
ecg_score_func : str | callable
ecg_criterion : float | int | list-like | slice
eog_ch : list | str | ndarray | None
eog_score_func : str | callable
eog_criterion : float | int | list-like | slice
skew_criterion : float | int | list-like | slice
kurt_criterion : float | int | list-like | slice
var_criterion : float | int | list-like | slice
add_nodes : list of ica_nodes
|
|---|---|
| Returns: | self : instance of ICA
|
find_bads_ecg
(inst, ch_name=None, threshold=None, start=None, stop=None, l_freq=8, h_freq=16, method='ctps', verbose=None)¶Detect ECG related components using correlation
Note. If no ECG channel is available, routine attempts to create an artificial ECG based on cross-channel averaging.
| Parameters: | inst : instance of Raw, Epochs or Evoked
ch_name : str
threshold : float
start : int | float | None
stop : int | float | None
l_freq : float
h_freq : float
method : {‘ctps’, ‘correlation’}
verbose : bool, str, int, or None
|
|---|---|
| Returns: | ecg_idx : list of int
scores : np.ndarray of float, shape (
|
See also
References
find_bads_eog
(inst, ch_name=None, threshold=3.0, start=None, stop=None, l_freq=1, h_freq=10, verbose=None)¶Detect EOG related components using correlation
Detection is based on Pearson correlation between the filtered data and the filtered EOG channel. Thresholding is based on adaptive z-scoring. The above threshold components will be masked and the z-score will be recomputed until no supra-threshold component remains.
| Parameters: | inst : instance of Raw, Epochs or Evoked
ch_name : str
threshold : int | float
start : int | float | None
stop : int | float | None
l_freq : float
h_freq : float
verbose : bool, str, int, or None
|
|---|---|
| Returns: | eog_idx : list of int
scores : np.ndarray of float, shape (
|
See also
fit
(inst, picks=None, start=None, stop=None, decim=None, reject=None, flat=None, tstep=2.0, verbose=None)¶Run the ICA decomposition on raw data
Caveat! If supplying a noise covariance keep track of the projections available in the cov, the raw or the epochs object. For example, if you are interested in EOG or ECG artifacts, EOG and ECG projections should be temporally removed before fitting the ICA.
| Parameters: | inst : instance of Raw, Epochs or Evoked
picks : array-like of int
start : int | float | None
stop : int | float | None
decim : int | None
reject : dict | None
flat : dict | None
tstep : float
verbose : bool, str, int, or None
|
|---|---|
| Returns: | self : instance of ICA
|
get_sources
(inst, add_channels=None, start=None, stop=None)¶Estimate sources given the unmixing matrix
This method will return the sources in the container format passed. Typical usecases:
| Parameters: | inst : instance of Raw, Epochs or Evoked
add_channels : None | list of str
start : int | float | None
stop : int | float | None
|
|---|---|
| Returns: | sources : instance of Raw, Epochs or Evoked
|
plot_components
(picks=None, ch_type=None, res=64, layout=None, vmin=None, vmax=None, cmap='RdBu_r', sensors=True, colorbar=False, title=None, show=True, outlines='head', contours=6, image_interp='bilinear', head_pos=None, inst=None)¶Project unmixing matrix on interpolated sensor topogrpahy.
| Parameters: | picks : int | array-like | None
ch_type : ‘mag’ | ‘grad’ | ‘planar1’ | ‘planar2’ | ‘eeg’ | None
res : int
layout : None | Layout
vmin : float | callable | None
vmax : float | callable | None
cmap : matplotlib colormap | (colormap, bool) | ‘interactive’ | None
sensors : bool | str
colorbar : bool
title : str | None
show : bool
outlines : ‘head’ | ‘skirt’ | dict | None
contours : int | False | None
image_interp : str
head_pos : dict | None
inst : Raw | Epochs | None
|
|---|---|
| Returns: | fig : instance of matplotlib.pyplot.Figure or list
|
plot_overlay
(inst, exclude=None, picks=None, start=None, stop=None, title=None, show=True)¶Overlay of raw and cleaned signals given the unmixing matrix.
This method helps visualizing signal quality and artifact rejection.
| Parameters: | inst : instance of mne.io.Raw or mne.Evoked
exclude : array_like of int
picks : array-like of int | None (default)
start : int
stop : int
title : str
show : bool
|
|---|---|
| Returns: | fig : instance of pyplot.Figure
|
plot_properties
(inst, picks=None, axes=None, dB=True, plot_std=True, topomap_args=None, image_args=None, psd_args=None, figsize=None, show=True)¶Display component properties: topography, epochs image, ERP/ERF, power spectrum and epoch variance.
| Parameters: | inst: instance of Epochs or Raw
picks : int | array-like of int | None
axes: list of matplotlib axes | None
dB: bool
plot_std: bool | float
topomap_args : dict | None
image_args : dict | None
psd_args : dict | None
figsize : array-like of size (2,) | None
show : bool
|
|---|---|
| Returns: | fig : list
|
Notes
New in version 0.13.
plot_scores
(scores, exclude=None, labels=None, axhline=None, title='ICA component scores', figsize=(12, 6), show=True)¶Plot scores related to detected components.
Use this function to asses how well your score describes outlier sources and how well you were detecting them.
| Parameters: | scores : array_like of float, shape (n ica components) | list of arrays
exclude : array_like of int
labels : str | list | ‘ecg’ | ‘eog’ | None
axhline : float
title : str
figsize : tuple of int
show : bool
|
|---|---|
| Returns: | fig : instance of matplotlib.pyplot.Figure
|
plot_sources
(inst, picks=None, exclude=None, start=None, stop=None, title=None, show=True, block=False)¶Plot estimated latent sources given the unmixing matrix.
Typical usecases:
| Parameters: | inst : instance of mne.io.Raw, mne.Epochs, mne.Evoked
picks : int | array_like of int | None.
exclude : array_like of int
start : int
stop : int
title : str | None
show : bool
block : bool
|
|---|---|
| Returns: | fig : instance of pyplot.Figure
|
Notes
For raw and epoch instances, it is possible to select components for
exclusion by clicking on the line. The selected components are added to
ica.exclude
on close.
New in version 0.10.0.
save
(fname)¶Store ICA solution into a fiff file.
| Parameters: | fname : str
|
|---|
score_sources
(inst, target=None, score_func='pearsonr', start=None, stop=None, l_freq=None, h_freq=None, verbose=None)¶Assign score to components based on statistic or metric
| Parameters: | inst : instance of Raw, Epochs or Evoked
target : array-like | ch_name | None
score_func : callable | str label
start : int | float | None
stop : int | float | None
l_freq : float
h_freq : float
verbose : bool, str, int, or None
|
|---|---|
| Returns: | scores : ndarray
|


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Imageutil
Classes for images, image operations and abstraction of images.
This contains a abstraction over 2 main image types are are currently supported.
- ImageProcessor from ImageJ.
- BufferedImage from Java.
It also contain other abstract image concepts that are used by image processing,
but not doing image processing.
Dependency
- This package can depend on util, calculation, streams.
- There is a dependency of any ImageJ ImageProcessor, but no other external libraries outside Java 6.
- This can be used in a Java application, just by adding shapelogic_.jar,
ij.jar is only needed if you use the ImageJ images.


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Get Started
-
✔
Glasswing server started
-
✔
✘
Glasswing Chrome extension installed
-
✔
✘
Runtime data collected
Browse these JS files:
{{fileLinks}}
Glasswing works best on HTTP pages, HTTPS pages may not work.
Almost done!
- Navigate to the page you want to analyze
-
Click the Glasswing icon in the top right of the browser. This will reload the page you're inspecting.
- Refresh this page to see the annotated source code
Just trying this out? Try generating annotations for
Backbone TodoMVC
.
» Have a problem or question? Tell me!


Anita Orendt
is an Assistant Director at
the Center for High
Performance Computing, University of Utah, focusing on Faculty
engagement and research consulting. In this position she oversees
the faculty collaboration efforts of CHPC staff members and acts
as the point person for communication with the CHPC user
community. In addition she provides general user support and
training. Anita has a PhD in Physical Chemistry, and consults
with users of the computational chemistry software at the Center.
She is an XSEDE
Campus Champion for the University of Utah, part of the NSF
funded ACIREF
Program and an adjunct associate professor in the Department
of Chemistry.


Read through all words and then drag and drop the words you find correspond to some of the three lists below, e.g. if you want to become more cooperative you drag that word into the "Improve"-list. The words that you don't find match with any of the three lists, you can just leave.
Select a maximum of six characteristics that are your biggest strengths.
Select a maximum of three characteristics that you'd most want to improve.
Select a maximum of three characteristics that you'd most want to tone down.
Save your selections as a PDF. Print the PDF and answer the final questions on the printed paper.
Save as PDF Fill with demo values


Huawei Mate X goes on sale, stock depletes in minutes
by YordanHuawei introduced the foldable Mate X back in March, but we had to wait until October for the device to arrive for sale. Back on October 23, it was up for registration/pre-order in China, and today it appeared for its first flash sale.
Well, Huawei either underestimated the demand or just stocked very few devices, because all units sold out in a matter of minutes. On the upside there's another flash sale scheduled for November 22.
The phone has a foldable 8” OLED that transforms to a dual smartphone when folded - 6.6” on the front and 6.38” with an extremely tall ratio on the back, right next to the cameras and the power button.
Huawei is selling the Mate X with the year-old Kirin 980 chipset, coupled with an in-house 5G modem. It has 8 GB RAM and 512 gigs of storage, with 256 GB more available, if you use the proprietary NM memory card.
An impressive interesting spec is the 55W fast-charging, which was fastest in the world at the time of the announcement, but even that feature got surpassed by the competition now.
If you are still willing to purchase the phone, you should know it keeps its mind-boggling price of CNY16,999, which translates to roughly $2,400 or €2,200.


Inspire Me
A native desktop app which notifies a quote every hour!
Click
here
to view my other works!


{% extends "website/base.html" %} {% block titleblock %}Home{% endblock %} {% block header_ext %} {% endblock %} {% block content %}
There's currently {{num_accounts_connected}} connected out of a total of {{num_accounts_registered}} account{{num_accounts_registered|pluralize}} registered.
Of these, {{num_accounts_registered_recent}} were created this week, and {{num_accounts_connected_recent}} have connected within the last seven days.
This site hosts the text-adventure game worlds created for the under-review paper 'Bringing Stories Alive: Generating Interactive Fiction Worlds' by Ammanabrolu et al.
Before playing any of the below games, we recommend the brief tutorial game here to get familiar with the engine and commands. After that, feel free to try out any of the games below. You can only have one game world open at a time, so please close out of any open game client tabs before opening a new one.
Not sure which one to pick? Click to play one at random, and see if you can guess the author.
Never heard of Interactive Fiction before? Learn more @ Wikipedia.
| Mystery Genre | Fairy Tale Genre | |
|---|---|---|
| Random: | Play now | Play now |
| Rule Based: | Play now | Play now |
| Neural Generated: | Play now | Play now |
| Human Authored: | Play now | Play now |
In this study, we looked at the ability for AI algorithms to build interactive fiction worlds. If you are interested, also have a look at a previous study where we used AI algorithms to generate text-adventure quests.


"A country's assets reside in the tinkerers, the hobbyists, and the risk-takers."
We at CultStage are here to provide a highly intuitive user experience, relevant resources, education and content designed to thecreatives so that they can have free access to the best opportunity at success in Film, TV and Theatre Industry worldwide.


WoW
In the kingdom of Azeroth
lies the remnants of Lordaeron.
After dethroning his father
the soul quenching sword Frost Mourn
sent prince Arthas on a new quest.
Finding his frozen throne and defeating
Illidan, the demon hunter, once a night elf,
now demonic himself. Once settled in Northrend
now he is known as the new lich king.
Kel-Thuzad was a great mentor,
fulfilling the prophecy of Maediv.
Only one hero shall prevail at the end,
a young rouge named RaVe (without
the capital V, stupid servers of Blizzard
wouldn't allow it). That rouge won
an honour contest without him knowing
he was a participant, or so he claims.
Owning a tabard only one of each
faction had received from each server.
Now he pawns the PVP arenas, you would be
lucky to be slain by him, or surviving
for more than 30 seconds with his deadly moves.
If he'll find a guild in time he may be the first
to defeat the new lich king, should he care for
the matter and won't migrate to another MMO such as Hellgate London, Warhammer40K or FF-XI


useStandardConfiguration(): HttpClientConfiguration
Applies a configuration that addresses common application needs, including configuring same-origin credentials, and using rejectErrorResponses.
Returns
The chainable instance of this configuration object.


NIAGARA NIAGARA A film review by Matt Williams
RATING: * 1/2* out of * * * *
Niagara Niagara is a road movie that shouldn't be one. Telling the story of two loners tossed together by fate, the film survives only on the basis of one strong performance.
Seth (Henry Thomas) and Marcy (Robin Tunney) are shy outcasts. They come from different worlds (Seth is poor, Marcy rich), but neither has felt love. The two loners literally run into each other while shoplifting at the same store, and immediately hit it off. Before they know it, the couple begin a road trip to Canada in search of an elusive black Bobbi head.
Marcy isn't like other girls, however. She has Tourette's Syndrome. At first she tries to restrain her tics and unintentional vocal outbursts, and Seth is too timid to ask her about it. But eventually, she informs him about her condition. It turns out there is a prescription drug which could help her, but she left her prescription at home. Rather than simply contacting her doctor, or getting a new prescription, she and Seth decide to try every pharmacy the run across during their road trip. Surely some nice pharmacist will give her the drugs, no questions asked.
Robin Tunney delivers a good performance, even if the premise is a bit forced. She delivers the various tics and idiosyncrasies with natural ease, making them seem to emerge from the character, rather than the actor.
Yet, the movie seems trapped by its own conventions. What might have been a touching love story is shackled by being forced to conform to its preconceived "road movie" standards. The movie is pointlessly filled with bizarre characters, such as the psycho druggist, or Walter (Michael Parks), the chicken-obsessed tow-truck driver. None of these characters seemto flow with the story. Rather, they are artificial constructions which are meant for amusement, but only serve to disappoint.
At any time when the relationship between Seth and Marcy seems to get interesting, all of a sudden the movie's MacGuffin raises its ugly head (or Bobbi head as the case may be). The goal of the pair's quest is only interesting to the audience to the extent that it motivates the action and reveals the characters. In Niagara Niagara, the trip is more about the trip than Seth and Marcy.
Overall, the only reason to see this film is the performance by Robin Tunney. It definitely fails as a road movie, a crime spree, or even as much of a romance.
Copyright 1998 Matt Williams
- Matt Williams<EMAIL_ADDRESS>Reviewer for Cinematter: http://www.cinematter.com Home of over 500 reviews, and information on over 600 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


RT @jules_su: Has anyone noticed that there’s no period after Dr in “Dr Pepper”?
That means it’s not a title, it’s Mr. Pepper’s first name…


Match Play. Red trails 1-2 to 5. Should Red double? If doubled, should White take?
pips Red=161 White=154
(CorrectAnswer= 0/0, ErrorScore= 0)
Once again, a perfectly timed double at the match score that would be premature for money. A doubled gammon gives Red the match exactly so now is precisely the time to double.
White’s position is fundamentally sound and so he should take.
Not doubling is a double blunder while dropping is merely a single blunder.
White’s position is fundamentally sound and so he should take.
Not doubling is a double blunder while dropping is merely a single blunder.
Cube analysis 2-ply cubeless equity +0.257 (Money: +0.296) 0.579 0.249 0.018 - 0.421 0.122 0.008 Cubeful equities: 1. Double, take +0.765 2. Double, pass +1.000 (+0.235) 3. No double +0.649 (-0.116) Proper cube action: Double, take


See what YOUR General Election candidate is saying on Twitter
See what the election candidates in Shropshire are saying on Twitter.
With all the candidates announced for the Telford, Wrekin, North Shropshire, Ludlow, and Shrewsbury & Atcham seats, the campaign is well and truly in full flow.
These days no election campaign is complete without a social media presence, so we've compiled this feed of the local candidates' Twitter activity - tweets and retweets - which updates in real time.


ImageExtract
public class ImageExtract
The class that allows you to get the size of a remote image without downloading.
-
A function to get the size of an image with preferred width and max height.
Declaration
Swift
func extract(_ request: ImageRequestConvertible, preferredWidth: CGFloat, maxHeight: CGFloat = .greatestFiniteMagnitude) -> (size: CGSize, isFinished: Bool)
Parameters
request
An image url to request. String, URL, and URLRequest are conform to ImageRequestConvertible protocol.
preferredWidth
A preferred width to resize.
maxHeight
A maximum height to be restricted at resizing.
Return Value
A tuple value including image size and task result. If the session is cancelled or fails to extract the size of an image, the value of isFinished will be false.
-
A function to get the size of an image with preferred width and max height.
Declaration
Swift
func extract(_ request: ImageRequestConvertible, preferredWidth: CGFloat, maxHeight: CGFloat = .greatestFiniteMagnitude, completion: @escaping (String?, CGSize, Bool) -> Void)
Parameters
request
An image url to request. String, URL, and URLRequest are conform to ImageRequestConvertible protocol.
preferredWidth
A preferred width to resize.
maxHeight
A maximum height to be restricted at resizing.
completion
A handler that called when a request is completed. If the session is cancelled or fails to extract the size of an image, the value of isFinished will be false.
-
A Boolean value indicating whether download queues are running.
Declaration
Swift
var isQueueRunning: Bool { get }
-
A Integer value indicating the number of running queues.
Declaration
Swift
var queueCount: Int { get }
-
A function to cancel all running queues.
Declaration
Swift
@discardableResult func cancelAllQueues() -> Bool
Return Value
A Boolean value indicating whether download queues are running.
-
A function to cancel a queue that contains a specific url.
Declaration
Swift
@discardableResult func cancelQueue(request: ImageRequestConvertible) -> Bool
Parameters
request
An image url to request. String, URL, and URLRequest are conform to ImageRequestConvertible protocol.
Return Value
A Boolean value indicating whether download queues are running.


Five People Were Killed and Many are still Missing after the New Zealand Volcano Eruption
Five people were killed in the eruption of a volcano in New Zealand.
There are foreigners among the blocked tourists on White Island, but their nationality is still unknown.
At the time of the sudden eruption of the volcano, there were between 50 and 100 people around the crater, most of them tourists.
Prime Minister Jacinda Ardern said the White Island - also known as Whakaari - had erupted along the northern coast of New Zealand while there were groups of tourists in the area.
St. John's Emergency Services announced that about 20 people were probably injured.
The island is located about 50 kilometers off the coast of New Zealand in the picturesque Bay of Plenty and is popular among the tourists.
White Island is the most active volcano in New Zealand. About 70 percent of the volcano is under the sea and at least 10,000 people go to see it every year. It has erupted frequently in the last half-century, with its last eruption in 2016.


Note: it is possible for components to solely exist in a variegated form.
Responsive
Mobile first approach: the smaller breakpoints impact the bigger sizes
sm: 576px
md: 768px
lg: 992px
xl: 1200px
Spacing
All the UI elements are defined without any pre-established spacing.
It should be defined on a case by case scenario using the utilities, or
by creating specific layout classes, like layout--document, that have
an wide effect on its whole content.
Colors
Rely on a specific set of colors to preserve coherence in design.
Color palette
Palette1
#2660a4
Palette2
#4b3f72
Palette3
#b31b34
Palette4
#f9a03f
Palette5
#5DD9C1
Palette1-1
#618bbc
Palette1-2
#1c4678
Palette2-1
#6b618b
Palette2-2
#372e53
Palette3-1
#c04458
Palette3-2
#721222
Palette4-1
#fab973
Palette4-2
#b6752e
Palette5-1
#89E3D1
Palette5-2
#449E8D
Greyscale
Palette-g-1
#f5f6f6
Palette-g-2
#d9dbdb
Palette-g-3
#bcc1c0
Palette-g-4
#979e9d
Palette-g-5
#616564
Palette-g-6
#373A3A
Palette-g-7
#0e0f0f
Theme color helpers
Primary
#4b3f72
Secondary
#5DD9C1
Tertiary
#b31b34
Context color helpers
Info
#2660a4
Success
#f9a03f
Danger
#b31b34
Greyscale color helpers
White
#f5f6f6
Grey
#979e9d
Black
#0e0f0f
Typography
Standardize the use of text.
Font families
Headers use the font families: Ubuntu, Fira Sans, Helvetica Neue
Whereas the rest of the body use the font families: Source Sans Pro, Roboto, Helvetica Neue .
Headings
Placeholder text sure is a nice concept
Placeholder text sure is a nice concept
Placeholder text sure is a nice concept
Placeholder text sure is a nice concept
Placeholder text sure is a nice concept

Placeholder text sure is a nice concept

Placeholder text sure is a nice concept

Placeholder text sure is a nice concept

Placeholder text sure is a nice concept

Placeholder text sure is a nice concept

Paragraphs
In computer programming, a placeholder is a character, word, or string of characters that may be used to take up space until such a time that the space is needed.
For example, a programmer may know that she needs a certain number of values or variables, but doesn't yet know what to input. She can use a placeholder as a temporary solution until a proper value or variable can be assigned.

In computer programming, a placeholder is...

For example, a programmer...

Themes are global color combinations that fit well together. They are meant to modify the behavior of multiple elements, color-wise.
Theme primary
Theme primary
Tattoo savant silent construct franchise shanty town garage. Weathered geodesic girl warehouse youtube industrial grade vinyl math-smart-cardboard stimulate decay artisanal. Shanty town tank-traps urban city BASE jump advert denim post. Vehicle refrigerator neon papier-mache city RAF bridge meta.

Theme secondary
Theme secondary
Shrine Legba denim girl shoes table long-chain hydrocarbons-ware Chiba. Systema disposable digital computer city kanji meta. Bridge Tokyo sub-orbital Legba boat tanto woman table voodoo god face forwards vinyl physical courier. Augmented reality render-farm stimulate otaku crypto-rain artisanal silent.

Theme tertiary
Theme tertiary
Shrine Legba denim girl shoes table long-chain hydrocarbons-ware Chiba. Systema disposable digital computer city kanji meta. Bridge Tokyo sub-orbital Legba boat tanto woman table voodoo god face forwards vinyl physical courier. Augmented reality render-farm stimulate otaku crypto-rain artisanal silent.

Theme white
Theme white
Tokyo papier-mache city dissident dolphin media warehouse A.I.. Realism warehouse neon weathered refrigerator numinous tiger-team sprawl Shibuya dolphin Legba BASE jump systema post. Tiger-team sensory vinyl apophenia pistol otaku bomb bridge tanto geodesic. Chrome cardboard hotdog courier bomb face.

Theme grey
Theme grey
Render-farm Chiba sign dissident warehouse concrete cardboard uplink tattoo decay sentient 8-bit. RAF A.I. sprawl city nodality geodesic into courier human crypto-military-grade franchise towards. Monofilament nano-saturation point chrome towards RAF lights-space carbon.  RAF A.I. sprawl city nodality geodesic into courier human crypto-military-grade franchise towards. Monofilament nano-saturation point chrome towards RAF lights-space carbon. Advert stimulate vinyl towards sensory franchise network.

Layouts
Define how the content will be organized.
Grid
Simple grid system, using flexbox. Doesn't add any padding.


Blacksmith Poitan:
I heard that a Dwarven explorer discovered some records left by the Giants about your race at the Giants' Ruins.
Unfortunately, both he and the records seem to have disappeared. Nobody knows if he is alive or dead...
I heard this from my close friend Holvas, so if you're interested in that book, I think you should ask him about it.
I seem to remember him telling me that he might be able to get a copy... Why don't you go see him?


| statefig {survival} | R Documentation |
For multi-state survival models it is useful to have a figure that shows the states and the possible transitions between them. This function creates a simple "box and arrows" figure. It's goal was simplicity.
statefig(layout, connect, margin = 0.03, box = TRUE, cex = 1, col = 1, lwd=1, lty=1, bcol=col, acol=col, alwd=lwd, alty=lty)
layout |
describes the layout of the boxes on the page. See the detailed description below. |
connect |
a square matrix with one row for each state.
If |
margin |
the fraction of white space between the label and the surrounding box, and between the box and the arrows, as a function of the plot region size. |
box |
should boxes be drawn? TRUE or FALSE. |
cex, col, lty, lwd |
default graphical parameters used for the text and boxes. The last 3 can be a vector of values. |
bcol |
color for the box, if it differs from that used for the text. |
acol, alwd, alty |
color, line type and line width for the arrows. Only the first element is used. |
The layout
argument is normally a vector of integers, e.g., the
vector (1, 3, 2) describes a layout with 3 columns. The first has a
single state, the second column has 3 states and the third has 2.
The coordinates of the plotting region are 0 to 1 for both x and y.
Within a column the centers of the boxes are evenly spaced, with 1/2 a
space between the boxes and the margin, e.g., 4 boxes would be at 1/8,
3/8, 5/8 and 7/8. If layout
were a 1 column matrix with values
of (1, 3, 2) then the layout will have three rows with 1, 3, and 2
boxes per row, respectively. Alternatively, the user can supply a
2 column matrix that directly gives the centers.
The values of the connect matrix should be 0 for pairs of states that
do not have a transition and values between 0 and 2 for those that do.
States are connected by an arc that passes through the centers of the
two boxes and a third point that is between them. Specifically,
consider a line segment joining the two centers and erect a second
segment at right angles to the midpoint of length d times the distance
from center to midpoint. The arc passes through this point. A value
of d=0 gives a straight line, d=1 a right hand half circle centered
on the midpoint and d= -1 a left hand half circle.
The connect
matrix contains values of d+1 with -1 < d < 1.
a matrix containing the centers of the boxes, with the invisible attribute set.
The goal of this function is to make “good enough” figures as simply
as possible,
and thereby to encourage users to draw them.
The layout
argument was inspired by the diagram
package,
which can draw more complex and well decorated figures, e.g., many
different shapes, shading,
multiple types of connecting lines, etc., but at the
price of greater complexity.
Terry Therneau
# Draw a simple competing risks figure states <- c("Entry", "Complete response", "Relapse", "Death") connect <- matrix(0, 4, 4, dimnames=list(states, states)) connect[1, -1] <- c(1.1, 1, 0.9) statefig(c(1, 3), connect)


See the impact of a patch on this job's metric. A patch job runs HEAD and HEAD + patch with the same configuration and metric as this job.
[[error]]


MOCABeacon Class Reference
| Inherits from | MOCAPropertyContainer : NSObject |
| Declared in | MOCABeacon.h |
Overview
The MOCABeacon class represents a beacon device. Beacon devices are managed by MOCA Cloud Console and encountered during beacon region monitoring. You do not create instances of this class directly.
MOCABeacon class contains basic device information as registered in the cloud, and when detected it contains CLBeacon object reference with access to device state.
Properties
major
Most significant value associated with the beacon.
@property (readonly, nonatomic) NSNumber *major
Declared In
MOCABeacon.h
minor
Least significant value associated with the region.
@property (readonly, nonatomic) NSNumber *minor
Declared In
MOCABeacon.h
name
Beacon name. Might be nil if not assigned.
@property (readonly, nonatomic, copy) NSString *name
Declared In
MOCABeacon.h


The NTNDArray is a EPICS Version 4 normative type, that is, a software design for a composite data type specified in the normative types specification. It is designed to encode data from detectors and cameras, especially areaDetector applications. The type is heavily modelled on areaDetector's NDArray.
One NTNDArray gives one frame of data.
This document contains a candidate definition for NTNDArray, discusses the design choices and is intended to get answers to a number of outstanding questions. The intended audience is both the V4 and areaDetector communities.
Note: NTNDArray replaces the previous NTImageType normative type defined by James Rowland and Ulrik Pedersen.
In this document NDArray by itself will always refer to the areaDetector type with NTNDArray refering to the EPICS version 4 normative type.
The NTNDArray is designed to
Essentially NDArrays have the following information:
a) Array data, b) 1..* Dimension Structures (containing size, offset, binning and reverse fields) c) uniqueID d) 0..* Attribute Structures (each containing a name, value of heterogenous type, description, source and source type) e) Timestamps (time, epicsTime)
In addition the NTNDArray might contain data which is compressed either because the image itself has been compressed using an image codec or has been compressed for transport via pvAccess. So to the above information we might add:
f) Compression algorithm
We might also add fields to enable easy monitoring of the data size, both of the compressed and uncompressed data
g) Data sizes
There are also some standard optional fields for V4 PVs:
h) Optional fields
The following is a candidate defintion for NTNDArray, broken down by the categories described in the previous sections.
structure NTNDArray //a) Array data union value boolean[] booleanValue byte[] byteValue short[] shortValue int[] intValue long[] longValue ubyte[] ubyteValue ushort[] ushortValue uint[] uintValue ulong[] ulongValue float[] floatValue double[] doubleValue //g) Data size long compressedSize long uncompressedSize //f) Compression algorithm structure codec_t codec string name any parameters //b) Dimensions structure[] dimension structure dimension_t dimension int size int offset int fullSize int binning boolean reverse //c) uniqueId int uniqueID //e) time stamp time_t dataTimeStamp //d) Attributes structure[] attribute structure NTAttribute string name any value string description int sourceType string source //e,h) Time stamp, Optional fields string descriptor :opt time_t timeStamp :opt alarm_t alarm :opt display_t display :opt
This section contains a description for each part of the NTNDArray as well as a discussion of the reasons for the design and any outstanding questions relating to it.
The "value" field stores the actual image data which corresponds to the data pointed to by the pData field in NDArray.
structure NTNDArray //a) Array data union value boolean[] booleanValue byte[] byteValue short[] shortValue int[] intValue long[] longValue ubyte[] ubyteValue ushort[] ushortValue uint[] uintValue ulong[] ulongValue float[] floatValue double[] doubleValue // ...In the original NTImage this field was any one of the array types, i.e. its type was hardcoded in the introspection data. This had the drawback that it did not allow the type of data to change dynamically. The demos have used byte arrays containing pData's bytes and a int dataType field containing a value corresponding to NDArray's dataType. This has potential issues with endianness.
Now that we have support for unions we can use these for the data. So the value field will be one of the array types and this type can change dynamically. Note this is a union of arrays not an array of unions, so it is implemented with the data ultimately in a single scalar array.
Unsigned integer support has also been added since the original, earlier definition.
When the id of the structure in the "codec" field (described more fully below) is the empty string the data in "value" is uncompressed and contains only array data.
In the case the "value" field will contain the values corresponding to the N-dimensional array as a single array, according to the dimension ("size") field (described below), of the appropriate type in the usual, obvious way.
The size of the array MUST NOT be less than the product of the dimensions when the data is uncompressed (otherwise it won't make sense). I think also the array length in the uncompressed case SHOULD equal the product of the dimensions.
Note that in areaDetector the NDArray "dataSize" field may be more than the product of the all the dimensions and the size of element type (so that For the NT type length * element_size may be less than NDArray::dataSize).
As the data is stored in an array of the appropriate type the endianness of the data will be that of the host.
In the majority of cases the endianness of the data in the buffer pointed to by pData in an NDArray will match that of the host.
In the cases where it doesn't it is desirable to get the data matching the host endianness as soon as possible. That way plugins can be written to be agnostic of endianness. This should be done in the areaDetector driver or failing that in a plugin in the chain prior to the V4 plugin. Therefore the NTNDArray does not need to consider endianness.
So assuming the endianness of the data in the buffer pointed to by pData matches that of the host the it will be possible to create a shared_vector of appropriate type around the existing void* buffer and swap into the PVXArray, helping to achieve zero-copy.
NTNDArray allows for the possibility that the data is compressed, in which case the enterpretation is determined by the "codec" field (described below), in conjuction with the "size" field. I would typically expect the array in the union "value" field to be a byte array in this case, but I haven't required this. The enterpretation is given by the "codec" field and this may include the array containing the compressed data being of a type other than byte[].
With compression the length*element_size("value") MAY be (and typically will be) less than the product of the dimensions and the size of the element type of the uncompressed data.
It is not possible to monitor the length of an array using pvAccess without monitoring the whole array. For "value", which may be very large, this may be undesirable.
To make it easier to monitor the size of image data two fields have been added.
structure NTNDArray // ... long compressedSize long uncompressedSize // ...
The "compressedSize" field is the size of the data in the value field in bytes after compression.
The "uncompressedSize" field is the size of the data in bytes before compression.
In NTNDArray, by default the value field contains a 1-d array which is interpretted as an N-d array according to the dimension field. The codec field allows for this behaviour to be extended
structure NTNDArray // ... structure codec_t codec string name any parameters // ...In an NDArray pData will typically point to a buffer containing an N-d array of data. So a 2-d monochrome image will be stored as a 2-d array and a 2-d RGB image as a NxMx3 3-d array.
However the NTNDArray allows for other possibilities.
e.g.
The first may be particular important as in an areaDetector processing chain involving network transport and with sufficent processing power the bottleneck is likely to be the network bandwidth. even with 10Gig ethernet. The areaDetector/V4 plugin demo has already shown that we can go beyond the bandwidth using compression.
The second may be useful. E.g. hardware or driver performs compression.
There is no obvious use case for the 3rd, but the option is available to handle a special case.
The "codec" field is included to cater for other possibilities.
If the "codec" field is the empty string then value contains uncompressed area detector as an N-d array of the type determined by the type of the array in the union "value" and of dimensions given by the "size" field.
This allows us solve the problem of arguments as well as namespace qualification, as this has addressed already for IDs.The "dimension" field is a structure array corresponding to the NDDimension_t[] in NDArray.
structure NTNDArray // ... structure[] dimension structure dimension_t dimension int size int offset int fullSize int binning boolean reverse // ...
The fields of the structure "size", "offset", "binning", "reverse" corresponding to the size, offset, binning and reverse fields of NDDimension_t "size" field of NDArray. These encode the following information
There is also a field:
For a simple image fullSize=size. For a ROI fullSize = dim(original image). In other case the detector image may be made up of multiple images, each with their own (NT)NDArray.
A use case is the Excaliber detector which has a 6x8 array of 256x256 pixel photon detectors arranged into 6 strips of 8 cells each producing a 2048x256 image. In this case the sizes would be 2048x256, the fullSize would be 2048x1536 the offsets would be 0x0, 0x256, 0x512 etc. It is possible to have detectors with gaps where there are no pixels. This can be handled with appropriate sizes, offsets and values. In the current set up a plugin converting an NDArray to an NTNDArray would need to know the geometry and be configured to input the correct fullSize.
The number of dimensions of the NTNDArray may be 0. A well-designed client should check the number of dims. This allows a default NTNDArray PV to be created (e.g. prior to receiving it's first NDArray).
This corresponds to the NDArray uniqueId.
structure NTNDArray // ... int uniqueId // ...
This is the time stamp in seconds for the array. This corresponds to the NDArray timeStamp. The latter is a double but in NTNDArray it is a time_t.
structure NTNDArray // ... time_t dataTimeStamp // ...
Note there is a second time stamp in NTNDArray (timeStamp). This corresponds to epicsTimeStamp in areaDetector and in this case can come from a user-defined timestamp source.
The attribute field encodes the linked list of NDAttributes in areaDetector.
structure NTNDArray // ... structure[] attribute structure NTAttribute string name any value string description int sourceType string source // ...This uses the NTAttributes type
structure NTNDArray // ... structure[] attribute structure NTAttribute string name any value string[] tags :opt string description :opt time_t timeStamp :opt alarm_t alarm :opt display_t display :opt // ...
However for NTNDArray the description field is mandatory and there are mandatory additional fields sourceType and source.
The attribute values are of a heterogenous type. Previously we had to use NTVariant[] to encode them. Now we can use a union or any.
NTNDArray has the usual set of optional fields.
structure NTNDArray // ... string descriptor :opt time_t timeStamp :opt alarm_t alarm :opt display_t display :opt // ...Note this second time stamp will typically correspond to epicsTimeStamp in areaDetector and in this case can come from a user-defined timestamp source.


This topic describes migration of existing project created for Play! Framework 1.2.x to Play! Framework 1.3.x.
Instructions how to set up new project using Play! Framework 1.2.x are in Usage section.
From the Maven point of view the main differences between Play1 1.2.x and 1.3.x are:
Required migration steps are slightly different for projects using play-app-default-parent and not using it.
<properties> <play.version>1.3.4</play.version> </properties>
<dependency> <groupId>com.google.code.maven-play-plugin.org.playframework.modules.docviewer</groupId> <artifactId>play-docviewer</artifactId> <version>${play.version}</version> <classifier>module-min</classifier> <!-- or <classifier>module</classifier> --> <type>zip</type> <scope>provided</scope> </dependency>
add jar-type one (play-docviewer-${version}.jar is new in Play! 1.3.x)
<dependency> <groupId>com.google.code.maven-play-plugin.org.playframework.modules.docviewer</groupId> <artifactId>play-docviewer</artifactId> <version>${play.version}</version> <scope>provided</scope> </dependency>
<properties> <play.version>1.3.4</play.version> </properties>
and add play-docviewer jar-type dependency (play-docviewer-${version}.jar is new in Play! 1.3.x)
<dependency> <groupId>com.google.code.maven-play-plugin.org.playframework.modules.docviewer</groupId> <artifactId>play-docviewer</artifactId> <version>${play.version}</version> <scope>provided</scope> </dependency>
<parent> <groupId>com.google.code.maven-play-plugin</groupId> <artifactId>play13-app-default-parent</artifactId> <version>1.0.0-beta8</version> </parent>
In Play! 1.1.x modules had to be installed inside PLAY_HOME/modules directory (play install command) and included in conf/application.conf file for example
# Additional modules # ~~~~~ # A module is another play! application. Add a line for each module you want # to add to your application. Modules path are either absolutes or relative to # the application root. # They get loaded from top to bottom; Syntax: module.{name}={path} # # Keep the next line as is to help the play script to manage modules. # ---- MODULES ---- module.crud=${play.path}/modules/crud
In pom.xml file such dependency has to be defined with provided scope and is extracted to target/play/modules/${modulename} directory.
This method was deprecated (but still working) in Play! 1.2.x. In Play! 1.3.x it was removed.
All dependent modules have to be added to conf/dependencies.yml file and declared with default scope in pom.xml file (remove <scope>provided</scope>).
There is additional automatic, transparent to the users, dependency mechanism in Play! docviewer and testrunner modules are added to every project in runtime without the need to declare them in conf/application.conf or conf/dependencies.yml file. They are declared in pom.xml file (in play-app-default-parent if you are using it) with provided scope. This scope should not be changed.
conf/dependencies.yml configuration file was introduced in Play! 1.2.x and was used exclusively by play dependencies (or play deps) command. It is ignored in Maven environment. In Play! 1.3.x things changed. Every Play! module dependency must be included in it. This configuration is processed in Play! initialization (application start) phase. Jar-type dependencies on the other hand, are used only by play dependencies command, and are not required when working in Maven environment. They can be added to conf/dependencies.yml configuration file, but will be ignored by Maven plugin.
Cobertura module is not compatible with Play! 1.3.x because of ASM dependency versions conflict (3.0 vs. 5.0.3).
I think, I found a bug in Play! 1.3.x when working with siena module (will investigate it later). By default Siena disables Play! JPA plugin. This is not implemented properly and application fails to start. The workaround is to leave it enabled (I don’t know of any consequences of this change) by adding:
siena.jpa.disable=false
line to conf/application.conf configuration file.
Scala module does not work, but who uses Play! 1.x with Scala these days?


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My husband and I had a fantastic time on our cruise. The food was amazing, and every day...


WHAT IS PINGPONG?
PingPong is a cross platform integrated messaging tool that combines powerful messenger and blockchain-powered project management solution.
- a user-friendly and a secure chat, as simple as the messenger you’re used to
- a project-management platform based on kanban paradigm for tracking projects
- independent storage platform which can store not only internal data but also external data added by the user
- a token creation service
FEATURES
WHY WE DO ICO?
We want to prove that community will support our product - a universal platform which is able to cover needs of individuals, households and business alike.
We want to share our success. Our product is in MVP stage and we have a solid plan to reach our goals, but we believe that with the help of the community we will move our product forward in development and marketing faster and more efficient.
Moreover, users will have the opportunity to purchase 40% off all the tokens existing. Tokens ownership allows participating in the general voting. All the actions undertaken over the company’s matters are totally transparent. Key point is that PingPong is a project with community engaged in product developing.
With the success of ICO, PingPong will not only be a multi-functional IM but an effective project-management platform that will simplify and make project payments more transparent with the help of blockchain technology.
What is a PingPong Token?
PingPong Token represents a right to receive a part of PingPong balls, which could be easily exchanged for BTC. Moreover, PingPongers community is engaged in voting over following matters: the product development, the company’s marketing strategy, the product design. In addition, the token purchase amount will be in direct ratio with paid features.
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By the end of each fiscal year, the company exchanges 50% of its profit for BTC which are used to purchase PingPong balls (P-balls).Those P-balls are distributed proportionally among PingPongers depending on token quantity. PingPongers are able to exchange their P-balls for BTC as well.
Symbol:
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Total Supply:
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Adjustable:
All unsold tokens will be burned
Rate:
Price per token, locked. 1 token = 10 USD
Token Allocation
structure
structure


So, i just found out about this plugin for BLog and it's Awesome. I have been testing out the themes and the best I like is the "Steam Theme by xXJumpyXx v 1.2.1". But there is something I want changed in it (for me), can someone make it like
so I can Change the Background
because this theme doesn't allow us to change the background as it already has one made in it before hand.
Or if you can set the Background for me by
making the Com Center transparent
then it would be great, I want this Picture as the Background:
http://i.imgur.com/mnDyf82.jpg
[My Monitor/Laptop resolution is "1366x768" if that matters]
Another thing, is there a Plugin or something that allows me to Minimize the "Com Center"? I have been Googling this and people say to use BBLog but I don't find any Plugin/Feature that does this. If there is a Plugin then please Direct me towards it and also how to use it because i don't know how to Function one.
P.S: I don't know much about this Plugin, and this might be a Stupid question. The changes we make on our Battle-log (background/theme), would others be able to see these when they come to out Profile? :P
dapil
Plugin Developer
1. You can change background in Better Battlelog > General Improvements > Change background
2. Minimized com center was a hidden feature in Battlelog, but it's no longer working.
Topicstarter
Disco-Molvi619
dapil wrote:
1. You can change background in Better Battlelog > General Improvements > Change background
I think you didn't understand, im asking about changing the Background WITH the Steam Theme.
dapil
Plugin Developer
Oh, I see. I can write a plugin to use your background with another theme.
Topicstarter
Disco-Molvi619
Oh Thanks, can you Use this Background with the Steam Theme. But with the Com Center a Little Transparent, the same as the Original Com center?
The Com Center could be a little like this with the Background:
http://i.imgur.com/6JVTCMX.png
And the rest of the Layout the "Steam" one...
ORFK
Global Moderator
generally, using a theme AND changing the background to a custom one should work hand in hand.
if not, this should be fixed
Post edited 1 x times, last by
Brady_The
Brady_The
ORFK wrote:
generally, using a theme AND changing the background to a custom one should work hand in hand.
if not, this should be fixed
I tried it. It doesn't work. Apparently the theme overwrites the settings in "Change Background". You can see the custom background for a second until the theme is fully loaded.
BrainFooLong
Administrator
A theme can block the background change when it using the !important statement.
The only thing you can try is to use "!important" as well in the background changer.
Brady_The
BrainFooLong wrote:
A theme can block the background change when it using the !important statement.
The only thing you can try is to use "!important" as well in the background changer.
I tried a couple of code combinations with !important in the background changer, but it didn't worked (background did not showed up at all). What syntax do you have to use?
ORFK
Global Moderator
i will test the custom background function, thinks there is a small bug..
xXJumpyXx
Helping Hand
This problem again ლ(ಠ_ಠლ) ... I've had this problem with the theme before.
I'll take a look at it and hopefully fix it, either today or tomorrow, I've got to fix the BF4 related stuff in the battle feed as well.
xXJumpyXx
Helping Hand
I've just updated the theme. It should work normally now.
I'd recommend using this for the background:url('http://i.imgur.com/mnDyf82.jpg') no-repeat fixed
Also, if you're still looking for a transparent Com Center (with the Steam Theme), you can add this custom theme file in the Theme Switcher:


--- title: Our Work permalink: "/projects/" layout: page type: inNavBar ---
Here's what we've been working on recently. Projects are open to all volunteers - if you're interested, just show up at one of our Tuesday evening hack nights!
You can view all the projects we've ever done on GitHub.
Maybe Code for Boston can help and we can address that problem together. You can submit a problem statement to our core team using the button at the bottom of this page. Before you submit, please make sure your submission is in line with our few ground-rules below.
"How might we (thing you want to change here)".For example: "How might we better enable citizens to be knowledgable about local political issues" we consider a good problem statement, but "Let's build an iOS app to track how people use parks in our community." we consider to be a poor problem statement. The reason behind this, is that we want to avoid starting from a point where we have already made many assumptions about the project. Who knows if an iOS app is the best choice, and what problem are you trying to address by tracking people's opinions?


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Comet parameter: fragment_bin_tol
- This parameter controls the bin size associated with fragment ions.
- The bin size defines the mass width associated with a single MS/MS peak
as it is stored internally in an array element.
- Although it's not explicitly a fragment ion tolerance, it's probably
easiest to think of it as such.
- Note, there is a direct correlation between the value selected for
the fragment_bin_tol and the memory used in a search. The lower the
fragment_bin_tol setting, the more memory a search will use. A test of
4,515 query spectra used ~700MB RAM with a 0.4 fragment_bin_tol value,
~1.5GB RAM with a 0.10 value, and ~9GB RAM with a 0.01 value. For small
fragment_bin_tol values where computer memory becomes an issue, either
set use_sparse_matrix to true and/or
make use of the spectrum_batch_size
parameter
- The minimum allowed value is 0.01.
- The default value is "1.0005" if the parameter is missing.
Example:
fragment_bin_tol = 1.0005
fragment_bin_tol = 0.4
fragment_bin_tol = 0.02


Table of Contents
par - Palm database archiver, version 0.5.
par t dbfile
par
h dbfile
par x dbfile [ioptions] [records..]
par c [hoptions] dbfile name type cid
[ioptions] [files..]
par u [hoptions] dbfile [ioptions] [updates..]
par a
[hoptions] dbfile [ioptions] [files..]
par d [hoptions] dbfile [doptions]
[records..]
par V
The par utility creates and manipulates PalmOS
database (.pdb) and resource (.prc) files. The first argument determines
the mode of operation, as follows:
- t
- List contents. For regular databases
a list of records is generated, each line showing the record attributes,
category, record size, and an ascii dump of the first few bytes of the
record. For resource databases, a list of resources is generated, each
line showing resource type, hex id, size, and ascii dump of the first
few bytes of the resource.
- h
- List header information. A report of the database
header is generated, showing the database name (this is the name that
would be visible on a device), the database type, creator id, attributes,
version, creation time, last modification time, last backup time, mod
number, nrecords (or resources), and the size of the application info
block in the database.
- x
- Extract. The extract mode can extract all or just
specific records from a database. With no further arguments, all records
will be extracted from the database. If further arguments are provided,
these should specify the index of the record to extract for regular databases,
and the type and id of the desired resource for resource databases. By
default, individual records will be saved as files with the name <index>.pdr,
where <index> is the index of the record in the database, individual resources
will be saved as files with the name <type><id>.bin, where <type> is the 4 character
type of the resource, and <id> is the resource id in 4 digit hexadecimal.
A preferred filename for a saved item can be specified for each record
using the -f option to the record or resource specification.
- c
- Create a
new database. The create mode creates a new database file, with the database
name, type, and creator id specified as (required) arguments. If no further
arguments are specified, the resulting database will contain no records,
but will have a valid database header. If further arguments are specified,
they should specify files to be appended to the database as records or
resources (see the -a mode description).
- u
- Touch the header or record attributes.
In touch mode, changes to the database header can be specified. By default,
the last modification time will be updated to the current time, but further
changes can be specified using the header options. See HEADER OPTIONS section.
In addition, attribute information for particular records can be specified.
For regular databases, the new record category and record attributes may
be specified, using the -c and -a options. The records to touch are specified
by index. For resource databases, the new resource type and id may be specified
using the -T option. The resources to touch are specified by <type> and <id>.
- a
- Append records or resources. In append mode, records or resources will
be added to the database. For regular databases, the target record category
and record attributes may be specified, using the -c and -a options before
the source filename. For resource databases, the target resource type and
id may be specified using the -T option before the source filename. If the
-T option is not specified, the source filename is assumed to specify the
type and id in the <type><index> fashion described for the x mode. In addition
to individual records and resources, par can append whole databases, in
effect merging the records or resources from one database into another.
Databases may be specified as append items explicitly using the -p argument
option, or implicitly by using a .pdb extension for record databases, and
.prc extension for resource databases.
- d
- Delete. In delete mode, records
or resources are removed from the database. Records are specified by index,
resources are specified by type and id.
- V
- Version. Print the version number.
- r
- Create resource. r is an convenience alias for c -a resource. See HEADER
OPTIONS section.
- l
- l is an alias for t.
- i
- i is an alias for h.
- -mode
- All
modes may be prefixed with - if that makes you feel better.
The a, c, d, u modes accept hoptions which update the database information
as follows:
- -n name
- Database name. This is the name of the database that
will be visible on the device. Note that this is entirely independent from
the dbfile, although some utilities will imply the latter from the former.
- -T type
- The four character database type. For example, an application resource
database is of type 'appl'. The address book database is of type 'DATA'.
- -I cid
- The four character creator identifier. This specifies which application
owns the database.
- -a attributes
- Database attributes. These may be specified
as a hex number, or symbolically using the keywords resource, readonly,
dirty, backup, newer, reset, copyprevent, stream, hidden, launchable,
recyclable, bundle, or any bit-ORed combination of names or hex numbers.
For new databases, the attributes default to 0x0 (none set).
- -v version
- The database version. For new databases, this defaults to 1.
- -C creation_time
- The time the database was created. Times should be specified using the
format [[CC]YY]MMDDHHMM, or using the special keywords now, or never. The
former is the current time, that latter is the beginning of PalmOS time
(90401010000). For new databases, this defaults to now.
- -m last_modification_time
- The time the database was created. For new databases, this defaults to
now.
- -b last_backup_time
- The time the database was last backed up. For new
databases, this defaults to never.
The x, c, u, and a modes
accept ioptions, and the d mode accepts doptions, which operate on the
app and sort info in the database:
- -A filename
- AppInfo filename. In x mode,
specifies that the database AppInfo should be saved to filename. In c,u,
and a modes, specifies that the database AppInfo should be set from filename.
- -S filename
- SortInfo filename. In x mode, specifies that the database SortInfo
should be saved to filename. In c,u, and a modes, specifies that the database
SortInfo should be set from filename.
- -A
- Delete AppInfo. In d mode, specifies
that the database AppInfo should be deleted from the database.
- -S
- Delete
SortInfo. In d mode, specifies that the database SortInfo should be deleted
from the database.
The following example prints the header information
for the database 'foo.pdb'.
par h foo.pdb
The following extracts all records
from 'foo.pdb'.
par x foo.pdb
The following extracts the application icon resource
from 'app.prc' and saves it in the file 'icon.Tbmp'. Note the use of decimal
specification for the resource id. The id may be specified in hex using
by using the '0x' prefix.
par x app.prc -f icon.Tbmp tAIB 1000
The following
creates a new application resource database from all the the files with
a '.bin' extension in the current directory. The database will have creator
id of 'djwP' and will have the backup bit set.
par c -a "resource|backup" app.prc
myapp appl djwP *.bin
If you use the author's technique for creating multi-segment
library prcs with CodeWarrior, the following example will be useful. This
example uses the touch mode to change the database type to 'libr', and to
change the attribute type of the primary code resource from type = 'code',
id = '1' (as used in an application) to type = 'libr', id = '0' (as used in
a library).
par u -T libr mylib.prc -T libr 0 code 1
The following example
merges the resources from two different resource databases, code.prc, and
resource.prc into a single target application database, myapp.prc. This technique
is useful for managing code and non-code elements of an application, using
the individual resource databases as libraries.
par r myapp.prc myapp appl
djwP code.prc resource.prc
By default, par saves extracted resources using
the form <type><id>.bin, where <type> is the 4 character type of the resource,
and <id> is the resource id in 4 digit hexadecimal. When appending resources
to a new or existing resource database, par will attempt to decode the
resource and id of the resource being appended from the resource filename
using this same naming scheme, or you can explicitly specify the resource
and id using the -T syntax. Here are two invocations of par that do exactly
the same thing: create a new resource database with one resource which
has type = NFNT and id = 256 (0x0100 hexadecimal):
par c -a "resource"
font.prc Font FONT djwF NFNT0100.bin
par r font.prc Font FONT djwF -T NFNT
256 myfont
The following example creates a stream database that can be
accessed using the PalmOS FileStream API. The stream will contain the contents
of the file 'WarAndPeace.txt':
par c -a "stream" book.pdb Book DATA djwS WarAndPeace.txt
In the following example, 'book.pdb' is a stream database. This example extracts
the stream from that database and stores the result in the output file
'Book.txt':
par x book.pdb Book.txt
par was written by David Williams,
<EMAIL_ADDRESS>Table of Contents


git clone https://github.com/Mebus/cupp.git
Python. Cupp focuses on putting PII together with passwords
Will ask about names, children, birthdays, spouses, pets, etc to generate a list


Brazil Coach Explains Argument With Messi
by SL InternationalTite and Lionel Messi were involved in argument during the Superclasico and the Brazil coach has revealed what he Argentina superstar said.
Click through the gallery to images from Argentina's win over Brazil.
Messi returned from his international ban to help Argentina claim a 1-0 win over their South American rivals on Friday evening.
After netting the game's only goal after 14 minutes, Messi was the pictured arguing with the Selecao head coach and put his finger to his lips, which drew a response from Tite.

"I don't want to answer anymore on it. You need a strong referee because he'll swallow you… It should have been a card, I was right to complain."
Read: 'Ronaldinho Was Better Than CR7 & Messi'
Argentina will now turn their attention to another South American rival when they tackle Uruguay on Monday evening


{%url 'JudgeNumber1' as Ju1%} {%url 'JudgeNumber2' as Ju2%} {%url 'JudgeString' as JuStr%} {{request.user}}
JudgeNumber1
JudgeNumber2
JudgeString


The Mechanics of Quantum Cryptography
Number of ways a message can be enciphered: Infinite
Ease of encryption: Low
Security: Provably Undecipherable
Quantum cryptography is a completely new cryptosystem which has only begun to emerge in recent decades. The appeal of quantum cryptography lies in the fact that it is totally and completely uncrackable. Save for any radical changes to our current model of physics, no message sent through a quantum communication system can ever be deciphered by anyone but the intended recipient.
The natural question to ask is, how? The answer lies in the fact that quantum cryptography relies neither on cipher alphabets, nor on one-way functions, but on the (extremely strange) properties of quantum particles such as photons. Quantum cryptography relies on a property of photons known as spin- any given photon has a horizontal spin (left or right), or a vertical spin (up or down). The spin of a photon can be manipulated and measured through the use of polarizers.
If Alice and Bob wish to communicate with each other using a quantum cryptographic system, then the process is as follows.
1. Alice sends Bob a stream of photons. Alice uses her polarizers to give subsets of photons a random spin in horizontal and vertical direction, and records what spin she gives these sets
2. On the receiving end, Bob guesses which filters to use to measure each set of photons. If he uses the wrong filter (for instance, using a vertical filter to measure a horizontally polarized set of photons), then the photons will split into two groups, and Bob will realize he guessed wrong. If he guesses right, then Bob will measure the direction of the photon's spin along its axis accurately.
3. After finishing the initial stream, Alice publicly transmits the set of axes each set of photons was polarized along (but not the direction in which the photons were polarized). Bob then publicly confirms to Alice which sets of photons he guessed correctly. The specific directions of the sets which Bob guessed correctly, which Alice and Bob never broadcast, form a secure key which the two can use to encrypt further communications.
Suppose that Eve is attempting to listen in on Alice and Bob and intercepts a set of photons polarized horizontally. If she uses a horizontally polarized filter to measure them, then no harm, no foul. If, however, she guesses wrong and uses the vertical filter to measure them, then the photons will pass through with random spins along the y-axis. If Bob uses the horizontal filter to measure these intercepted photons (as he will about half the time), then he will assume that he guessed wrong. However during step 3, when Alice reveals that she polarized the intercepted set horizontally, Bob will instantly realize that the photons were altered along the way, and cut off communication with Alice. This is the second chief advantage of quantum cryptography- due to the Heisenberg Uncertainty Principle, the very act of observing the message changes it
For more information on quantum cryptography, check out this website on the subject


Warehouse Keeper Haprock:
[npc_%objectId%_DepositP|Deposit an item. (Private Warehouse)]
[npc_%objectId%_WithdrawP 0|Withdraw an item. (Private Warehouse) (List all)]
[npc_%objectId%_WithdrawP 99|Withdraw an item. (Private Warehouse) (Select)]
[npc_%objectId%_Chat 0|Return]


H1 Header text
class = pinkDiv
This paragraph is very short. It only has 2 sentences.
This paragraph is longer. It has a whole 3 sentences. I know, I must have been writing all day!
This paragraph is very short. It only has 2 sentences.
This paragraph is longer. It has a whole 3 sentences. I know, I must have been writing all day!
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