PITCHf/x data structure
Among many other things, MLBAM stores the parameters of a best fitting curve to almost every pitch thrown since 2008 in XML format. These data are used to produce cool things like MLB Gameday.
That’s a lot of data!!!
Over 14,000 games
Over 5,000 players (each player has a unique file for each game)
Over 1M atbats
Over 3.5M pitches
So what? Who Cares?
PITCHf/x offers baseball analysts incredibly intricate looks at player performance (especially for pitchers)
More general observations about the game of baseball are now feasible. For example, do different umpires have different strikezones? Do umpires tend to have different strikezones for home field pitchers?
Most importantly, it keeps baseball and data nerds occupied.
Drawbacks to PITCHf/x data
Scraping (and storing) data from that many files is computationally intensive.
Can’t do much to avoid this (other than options for scraping subsets of data).
Relationships between data structures aren’t intuitive.
Solution: store file name for each record of a data frame.
Other things like an atbat id are derived for each pitch
Inconsistent fields among records (that should be similar).
Solution: assign NAs to missing data.
Scraping PITCHf/x from the source made easy
library(devtools)
install_github('pitchRx', 'cpsievert')
library(pitchRx)
data <- scrapeFX(start ="2008-01-01",
end =Sys.Date())
pitches <- data$pitch
atbats <- data$atbat
For (potentially) serious users of pitchRx
Scraping data can take several hours and exceed the limits of your RAM.
If you want all available data, do it on a yearly basis!
For example,
#Repeat this code for 2009, 2010, etc.
data <- scrapeFX(start ="2008-01-01",
end ="2008-12-31")
#Writing to a MySQL database is preferred to csvwrite.csv(data$pitch, file ="pitches_08.csv")
write.csv(data$atbat, file ="atbats_08.csv")
scrapeFX is essentially a wrapper around a more general function called urlsToDataFrame.
urlsToDataFrame simplifies the parsing process for any set of XML files and casts data into a list of data frames.
Main purpose is to collect data stored as XML attributes (but it can also scrape for XML content/values)
Tables are defined by a tag (or node). For example, each atbat tag translates to one record
Table fields are defined by the most complete set of XML attribute names for a tag. This can altered through the values of the tables parameter.
Missing (or incomplete) attributes are filled with NAs.
Visualizing PITCHf/x
PITCHf/x data is unique from other baseball data because of it’s inherit spatial properties.
Spatial analysis of this data is most easily achieved through visuals.
The most common use of PITCHf/x data has been strikezones plots (ie, horizontal and vertical locations of pitches as they cross home plate.)
pitchRx produces strikezone plots with a special twist.
Note: only include called strikes and balls should be used when examining strikezones.
Gaining insight with animateFX()
Produces a series of plots with each pitch’s location as it travels from the pitcher’s hand until they reach home plate.
Plot(s) take the viewpoint of umpire/catcher (pitcher is throwing towards us).
As the animation progresses, the pitches get closer to home plate. Note that different pitches travel at different speeds. Thus, some pitches are closer (to the viewer) than others within each plot.
Clearly, it would be infeasible (and uninteresting) to animate every pitch. So consider a subset…
For our purposes…
data <- scrapeFX(start="2011-01-01",
end="2012-01-01", type="pitcher",
player=c("Mariano Rivera", "Phil Hughes"),
tables =list(atbat = fields$atbat,
pitch = fields$pitch))
FX <- join(data$pitch, data$atbat,
by =c("num", "url"), type ="inner")
pitches <- subset(FX, pitch_type %in%
c("FF", "FC"))


cytopy.flow.batch_effects¶
Classes
|
Evaluate the batch effects present in an experiment. |
Functions
|
Given the output of EvaluateBatchEffects.similarity_matrix (that is the linkage matrix and ordered list of sample IDs) and a desired number of groups, return a Pandas DataFrame of sample IDs and assigned group ID, generated by cutting the linkage matrix in such a way that the desired number of groups are generated. |
|
Utility function for mapping KDE function across multiple data-sets; returns tuple (key, PDF) so that the resulting PDFs can be sorted after calculation. |
|
Wrapper for scipy.spatial.distance.jensenshannon |
|
Wrapper for scipy.stats.entropy |
-
class
cytopy.flow.batch_effects.
EvaluateBatchEffects
(experiment: cytopy.data.fcs_experiments.FCSExperiment, root_population: str, samples: list = None, transform: str = 'logicle', scale: str = None, sample_n: str = 10000)¶ Bases:
object
Evaluate the batch effects present in an experiment. Contains utility functions for visualising the total variation amongst collected samples.
- Parameters
experiment (FCSExperiment) – Experiment to evaluate
root_population (str) – Root population; population to be retrieved from each sample for comparison
samples (list, optional) – List of samples to include in analysis, if None given all samples will be included
transform (str, (default='logicle')) – Method used to transform data prior to analysis
scale (str, optional) – Optional parameter to scale data prior to analysis
sample_n (int, optional, (default=10000)) – Number of events to sample from each file in experiment
Methods
calc_divergence
(target_id, comparisons, …)Calculate the statistical distance between the probability density function of a target sample and one or many comparison samples.
dim_reduction_grid
(reference_id, …)Generate a grid of embeddings using a valid dimensionality reduction technique, in each plot a reference sample is shown in blue and a comparison sample in red.
divergence_barplot
(target_id, comparisons, …)Generate a barplot of statistical distance to some reference sample (target).
Load new dataset from given FCS Experiment
marker_variance
(reference_id, …)For a given reference sample and a list of markers of interest, create a grid of KDE plots with the reference sample given in red and comparison samples given in blue.
similarity_matrix
(exclude, figsize, …)Generate a clustered heatmap of pairwise statistical distance comparisons.
-
calc_divergence
(target_id: str, comparisons: list, kde_kernel: str = 'gaussian', divergence_method: str = 'jsd', verbose: bool = False) → numpy.array¶ Calculate the statistical distance between the probability density function of a target sample and one or many comparison samples.
- Parameters
target_id (str) – sample ID for PDF p
comparisons (list) – list of sample IDs that will form PDF q
kde_kernel (str, (default='gaussian')) – name of kernel to use for density estimation (default = ‘gaussian’)
divergence_method (str, (default='jsd')) – name of statistical distance metric to use; valid choices are: *jsd: squared Jensen-Shannon Divergence (default) *kl: Kullback–Leibler divergence (relative entropy); warning, asymmetrical *hellinger: squared Hellinger distance
verbose (bool, (default=False)) – If True, function will return regular feedback (default = False)
- Returns
List of tuples in format (SAMPLE_NAME, DIVERGENCE)
- Return type
list
-
dim_reduction_grid
(reference_id: str, comparisons: list, features: list, figsize: tuple = (10, 10), method: str = 'PCA', kde: bool = False)¶ Generate a grid of embeddings using a valid dimensionality reduction technique, in each plot a reference sample is shown in blue and a comparison sample in red. The reference sample is conserved across all plots.
- reference_id: str
This sample will appear in red as a comparison
- comparison_samples: list
List of samples to compare to reference (blue)
- features: list
List of features to use for dimensionality reduction
- figsize: tuple, (default=(10,10))
Size of figure
- method: str, (default=’PCA’)
Method to use for dimensionality reduction (see flow.dim_reduction)
- kde: bool, (default=False)
If True, overlay with two-dimensional PDF estimated by KDE
- Returns
Plot printed to stdout
- Return type
None
-
divergence_barplot
(target_id: str, comparisons: list, figsize: tuple = (8, 8), kde_kernel: str = 'gaussian', divergence_method: str = 'hellinger', verbose: bool = False, **kwargs)¶ Generate a barplot of statistical distance to some reference sample (target).
- Parameters
target_id (str) – Sample to use as reference
comparisons (list) – List of samples to be included in analysis and compared to reference
figsize (tuple, (default=(8,8))) – Size of barplot figure
kde_kernel (str, (default='gaussian')) – Name of kernel to use for kernel density estimation that generates PDF for statistical distance calculation
divergence_method (str, (default='hellinger')) – Name of method to use for statistical distance
verbose (bool, (default=False)) – Feedback
kwargs – Keyword arguments to pass to Seaborn.barplot
- Returns
- Return type
None
-
load_data
() → dict¶ Load new dataset from given FCS Experiment
- Returns
{sample_id: Pandas.DataFrame}
- Return type
dict
-
marker_variance
(reference_id: str, comparison_samples: list, markers: list = None, figsize: tuple = (10, 10))¶ For a given reference sample and a list of markers of interest, create a grid of KDE plots with the reference sample given in red and comparison samples given in blue.
- Parameters
reference_id (str) – this sample will appear in red on KDE plots
markers (list, optional) – list of valid marker names to plot in KDE grid
comparison_samples (list) – list of valid sample names in the current experiment
- figsize: tuple, (default=(10,10))
size of resulting figure
- Returns
- Return type
Matplotlib figure
-
similarity_matrix
(exclude: list = None, figsize: tuple = (12, 12), kde_kernel: str = 'gaussian', distance_metric: str = 'jsd', clustering_method: str = 'average', **kwargs)¶ Generate a clustered heatmap of pairwise statistical distance comparisons. This can be used to find samples of high similarity and conversely demonstrates samples that greatly differ. Returns a linkage matrix that can be given to scipy.cluster.hierarchy.cut_tree to subset samples. Also returns Seaborn ClusterGrid instance.
- Parameters
exclude (list, optional) – list of sample IDs to be omitted from plot
figsize (tuple, (default=(12,12)) – size of resulting Seaborn clusterplot figure
kde_kernel (str, (default='guassian')) – name of kernel to use for density estimation (default = ‘gaussian’)
distance_metric (str, (default='jsd')) – name of statistical distance metric to use; valid choices are: *jsd: squared Jensen-Shannon Divergence (default) *kl: Kullback–Leibler divergence (relative entropy); warning, asymmetrical *hellinger: squared Hellinger Divergence
clustering_method (str, (default='average')) – method for hierarchical clustering, see scipy.cluster.hierarchy.linkage for details
kwargs – additional keyword arguments to be passed to Seaborn ClusterPlot (seaborn.pydata.org/generated/seaborn.clustermap.html#seaborn.clustermap) (hierarchical clustering encoded as a linkage matrix, array of sample IDs, Seaborn ClusterGrid instance)
-
cytopy.flow.batch_effects.
generate_groups
(linkage_matrix: numpy.array, sample_ids: list, n_groups: int)¶ Given the output of EvaluateBatchEffects.similarity_matrix (that is the linkage matrix and ordered list of sample IDs) and a desired number of groups, return a Pandas DataFrame of sample IDs and assigned group ID, generated by cutting the linkage matrix in such a way that the desired number of groups are generated.
- Parameters
linkage_matrix (np.array) – Linkage matrix generated from EvaluateBatchEffects.similarity_matrix (using SciPy.cluster.hierarchy.linkage)
sample_ids (list or np.array) – Ordered list of sample IDs generated from EvaluateBatchEffects.similarity_matrix
n_groups (int) – Desired number of groups
- Returns
- Return type
Pandas.DataFrame
-
cytopy.flow.batch_effects.
indexed_kde
(named_x: tuple, kde_f: callable)¶ Utility function for mapping KDE function across multiple data-sets; returns tuple (key, PDF) so that the resulting PDFs can be sorted after calculation.
- Parameters
named_x (tuple) – (key, data)
kde_f (callable) – Some function for estimating PDF
- Returns
(key, PDF)
- Return type
tuple
-
cytopy.flow.batch_effects.
jenson_shannon_dist
(x: numpy.array, y: numpy.array)¶ Wrapper for scipy.spatial.distance.jensenshannon :param x: :type x: Numpy.array :param y: :type y: Numpy.array
- Returns
Jenson Shannon Distance
- Return type
float
-
cytopy.flow.batch_effects.
kl_distance
(x, y)¶ Wrapper for scipy.stats.entropy :param x: :type x: Numpy.array :param y: :type y: Numpy.array
- Returns
Kullback–Leibler divergence
- Return type
float


In this talk I will make the point why Elm changes the way you develop web applications thoroughly and for the better. Elm is a functional reactive programming language that compiles to JS. Elm makes it easy to use the FRP style to build anything from simple websites to complex interactive applications in a clean and beautiful manner. The language focuses on developer happiness to make web development a delightful experience. Runtime errors just do not happen - ever! Thus you can focus on creating your app instead of hunting down bugs.
Ancient Elm proverb: Once it compiles, it just works!


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Photos and Best Times
List of things needed during track day:
Driver Education Agenda
For more information about this sport/hobby, please contact me at<EMAIL_ADDRESS>Please take a simple Survey


Calculate the estimated general loglikelihood
general_loglike( inf_params, mc_trees, return_neg = TRUE, cov_mat = NULL, cov_names = NULL, multiple_outside_transmissions = FALSE, use_outsider_prob = FALSE, return_clust_loglikes = FALSE, messages = FALSE )
| inf_params | vector of p parameters
|
|---|---|
| mc_trees | data frame of samples that correspond to the data. See details.
This is the output of |
| return_neg | default is TRUE. Returns the negative loglike |
| cov_mat | optional matrix of covariates corresponding to the mc_trees |
| cov_names | covariate vector of length p which correspond in order to the betas |
| multiple_outside_transmissions | logical indicating whether to use multiple outside method to compute likelihood. |
| use_outsider_prob | a separate parameter for the outsider infections. Default is FALSE |
| return_clust_loglikes | if TRUE, function returns the likelihood of every individual cluster |
| messages | Should we print messages. |
estimated average loglikelihood for the observed data
This is a specialized log likelihood function where we first estimate the average log likelihood of trees conditioned by their total size through sampling. This is very much dependent on the values of mc_trees.
The base likelihood for a single tree is given by $$L(T) = \prod_{i=1}^n (1-p_i)p_i^{N_i}$$ where \(p_i\) is the probability of transmission for individual \(i\) and \(N_i\) is the number of individuals infected by individual \(i\). The approximate average likelihood for a given cluster $C_m$ is then $$\bar{L}_K(C_m) = \frac{1}{K}\sum_{k=1}^K L(T_k)$$ where \(K\) is the number of Monte Carlo transmission tree samples \(T_k\) for cluster \(C_m\). Finally, the log likelihood is the sum of the log likelihoods for each cluster, $$\ell(C_1, \dots, C_M) = \sum_{m=1}^M log(\bar{L}_K(C_m))$$ For the multiple outside transmissions model, the above likelihood calculation is changed only for a single tree (and the transmission trees are of a different form). The likelihood \(L_O(T)\) is $$L_O(T) = (1-p_1)p_1^{N_1-1}\prod_{i=2}(1-p_i)p_i^{N_i}$$ because we condition on the outsider having at least one successful infection.


Come on, honey, take a trip with me
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�til the sun comes up
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Shot of love, shot of love
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make you blow and bleed
A little bit of what you need is guaranteed
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�til we start a fire
And I warn you it�s the best shot of your life
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Shot of love, shot of love
And I warn you it�s the best shot of your life
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Make you bleed
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I gotta get me shot of love
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Babe babe babe,
a lot of what you need is guaranteed
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Gerina Amy
Milk fruit fresh with vegetables
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Milk
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Sprint 19
INFUND-6607 Online style guide cleanup
- INFUND-6726 Prototype style guide
Applicant
- INFUND-6064 As an applicant I want to apply for a custom Overhead percentage so that my grant is accurate
- INFUND-6800 Update Project details to support selecting research area
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INFUND-6618
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{{Infobox prepared food | name = Maple bar/creamstick | image = File:Bacon maple bar.jpg | caption = A maple bar, topped with bacon | alternate_name = | country = | region = | creator = | course = | type = Doughnut | served = | main_ingredient = | variations = | calories = | other = }}
A maple bar is a rectangular doughnut topped with a maple glaze.<ref>The No-Salt, Lowest-Sodium Baking Book - Donald A. Gazzaniga<!-- Bot generated title -->. pp. 181-182.</ref><ref name=500Things>500 Things to Eat Before It's Too Late: and the Very Best Places to Eat Them - Jane Stern, Michael Stern<!-- Bot generated title -->. p. 382.</ref> They can be filled with custard, or cream, or left unfilled. Maple bars are prominent on the West coast of the United States.<ref name=500Things/>
Maple bars are also known as a maple-glazed Long John, Maple-Creamstick or maple Bismarck.
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Guidance
Guidance explaining when and how to disapply aspects of the national curriculum to meet pupils' particular needs.
Ref: DFES-00224-2006 PDF , 135KB , 17 pages
This is for:
It applies to all local-authority-maintained schools.
This guidance explains when and how national curriculum programmes of study and assessment arrangements may be disapplied:
This relates to the Education Act 2002 (sections 90, 92 and 93) .
Published: 1 July 2006


CLOUD PLATFORM
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in the Cloud
Quickly deploy quantitative
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Cloud Platform.


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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Some quick example text to build on the card title and make up the bulk of the card's content.
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| 041:040 Khan | : |
Verily, those who turn away from Our Ayat (proofs, evidences, verses, lessons, signs, revelations, etc. by attacking, distorting and denying them), are not hidden from Us. Is he who is cast into the Fire better or he who comes secure on the Day of Resurrection? Do what you will. Verily! He is All-Seer of what you do (this is a severe threat to the disbelievers). |
| 041:040 Maulana | : |
Those who distort Our messages are not hidden from Us. Is he then who is cast into the Fire better or he who comes safe on the day of Resurrection? Do what you like, surely He is Seer of what you do. |
| 041:040 Pickthal | : |
Lo! those who distort Our revelations are not hid from Us. Is he who is hurled into the Fire better, or he who cometh secure on the Day of Resurrection? Do what ye will. Lo! He is Seer of what ye do. |
| 041:040 Rashad | : |
Surely, those who distort our revelations are not hidden from us. Is one who gets thrown into Hell better, or one who comes secure on the Day of Resurrection? Do whatever you wish; He is Seer of everything you do. |
| 041:040 Sarwar | : |
Those who deviate from Our revelations are not hidden from Us. Is the one who will be thrown into hell fire better than the one who will be brought safely into the presence of God on the Day of Judgment? Act as you wish; God is Well-Aware of whatever you do. |
| 041:040 Shakir | : |
Surely they who deviate from the right way concerning Our communications are not hidden from Us. What! is he then who is cast into the fire better, or he who comes safe on the day of resurrection? Do what you like, surely He sees what you do. |
| 041:040 Sherali | : |
Surely, those who distort Our Signs to seek deviation therein, are not hidden from US. Is he , then, who is cast into the Fire better, or he who comes to US in security on the Day of Resurrection? Do what you will. Surely, HE sees all that you do. |
| 041:040 Yusufali | : |
Those who pervert the Truth in Our Signs are not hidden from Us. Which is better?- he that is cast into the Fire, or he that comes safe through, on the Day of Judgment? Do what ye will: verily He seeth (clearly) all that ye do. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > صفات الله تعالى > البصير Pillars of Islam> Islamic> Oneness of Allah> His Glory's Characteristics> All Seer أركان الإسلام > التوحيد > توحيد الله تعالي > علمه جلّ شأنه Pillars of Islam> Islamic> Oneness of Allah> His Glory's Knowledge أركان الإسلام > التوحيد > توحيد الله تعالي > وجوده Pillars of Islam> Islamic> Oneness of Allah> His Existence أركان الإسلام > التوحيد > توحيد الله تعالي > الوعيد Pillars of Islam> Islamic> Oneness of Allah> The Threat أركان الإسلام > التوحيد > الكافرون > افتراؤهم على الله وتكذيبهم ومجادلتهم بآيات الله Pillars of Islam> Islamic> The Disbelievers> Their Fabrication Against Allah, their Denial and Argumentation Against Allah's Signs أركان الإسلام > التوحيد > الكافرون > المقابلة بين المؤمن والكافر Pillars of Islam> Islamic> The Disbelievers> A Comparison Between the Believer and the Disbeliever الإيمان > الإيمان بالله > المقابلة بين المؤمن والكافر Faith> Belief In Allah> A Comparison Between the Believer and the Atheist الإيمان > المؤمنون > المؤمن والكافر Faith> The Believers> The Believer and the Atheist
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Configure Scripts
Prescripts and postscripts are scripts that can be run before or after Backup and Restore jobs run at the job-level. Supported scripts include shell scripts for Linux-based machines and Batch and PowerShell scripts for Windows-based machines. Scripts are created locally, uploaded to your environment through the Scripts pane, then applied to job definitions.
HYPERVISOR CONSIDERATIONS:
- The user running the script must have the "Log on as a service" right enabled, which is required for running prescripts and postscripts. For more information about the "Log on as a service" right, see https://technet.microsoft.com/en-us/library/cc794944.aspx.
- Windows Remote Shell (WinRM) must be enabled.
Upload a script:
Supported scripts include shell scripts for Linux-based machines and Batch and PowerShell scripts for Windows-based machines. Scripts must be created using the operating system's associated file format.
- From the navigation menu, expand Jobs and Operations, then click Script.
- In the Scripts section, click Upload Script. The Upload Script pane displays.
- In the Script field, browse for and select a local script to upload.
- Click Save. The script appears in the Scripts table and can be applied to supported jobs.
Set servers where scripts will be injected and executed:
- From the navigation menu, expand Jobs and Operations, then click Script.
- In the Script Server section, click Add Script Server. The Script Server Properties pane displays.
- Populate the fields in the Script Server Properties pane:
- Host Address
- Enter the resolvable IP address or a resolvable path and machine name.
- Use existing user
- Enable to select a previously entered username and password for the provider.
- Username
- Enter your username for the provider. If entering a SQL server, the user identity follows the default domain\Name format if the virtual machine is attached to a domain. The format <local administrator> is used if the user is a local administrator.
- Password
- Enter your password for the provider.
- OS Type
- Select the operating system of the application server. Available options include Linux/AIX and Windows.
- Click Save.
IBM Spectrum Protect Plus 10.1.2
Licensed Material - Property of IBM Corp. © IBM Corporation and other(s) 2018. IBM is a registered trademark of the IBM Corporation in the United States, other countries, or both. | 8/23/2018


{% extends "admin.html" %} {% block admin_content %}
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To add World Wind to your Gradle project, grab the latest release version from JCenter:
compile 'gov.nasa.worldwind.android:worldwind:{{ androidBintrayVersion }}'
For developers, the lastest SNAPSHOT
version is hosted at the OJO. Add the repository:
repositories (
maven (
url 'https://oss.jfrog.org/artifactory/oss-snapshot-local/'
)
)
The latest SNAPSHOT
version is:
compile 'gov.nasa.worldwind.android:worldwind:{{ androidOjoVersion }}'
Issues and help can be found at GitHub and the forum.


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BanjoSpeedruns is in no way affiliated or sponsored by Rare Limited or Microsoft Corporation. The content on this website is provided unofficially for entertainment purposes only and no copyright infringement is intended in the creation of this website.
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Definition of global constants consisting of an unique name and a value. Numeric value entries will be automatically
converted to a Python integer literal, or to a Python string literal.
If the global constant does not exist it is created and saved instantly in the current test configuration.


The immediate next aspect that I will be focusing on is therefore to highlight the aesthetic criteria which support two other communities of practice: hackers and artists.
connect to pineiro and his aesthetics: i will compare his approach to mine, and that we’ve find is quite similar. particularly interesting (and to deal w/ last section on aesthetics) is his idea of public and private aesthetics.
aesthetics matter, even in such a highly formal, syntactical, autotelic system as a computer
how does it contribute to the world? by showing that there is no separate domain of aesthetics, but also that they’re not essential, but a mark of high-quality
first i want to touch upon cursory work in source code poetry (paloque berges), and connect that to metaphor and literary tradition. then i want to talk about hacking (demoscene, folies, one-liners), and then connect that lack of aesthetic concern (qualify! different kinds of aesthetics) to the question of “what is there to understand” and therefore the question of semantics. i will close by exploring the different concepts in programming that are hard to communicate.
CONCEPT: semantic compression
CONCEPT: spatio-visual problem solving
CONCEPT: concepts to communicate? the stream? the map?
this is not so much about code aligning with standards of literature, but maybe aligning to the standards of both epistemology and architecture, architectural knowledge
Close-reading of source code poems?
helps in setting the boundary between art and aesthetic.
A work of art has a character and a content, including formal (balance and unity), aesthetic (gracefulness, garrishness), expressive (melancholy, cheerfulness), representational (a woman, a data structure), semantic (meaning, metaphor), and symbolic (death, life, disintegration) (budd, aesthetic essence).
look at a couple of code poems based on this.
use goodman’s languages to distinguish source poetry from regular code
categories:
Denotation is standing for, symbolizing.
A depiction is system-relative, more specific as to its target. Depiction is generative: interpreting one picture allows us to interpret others. allows us to interpret and understand foreign objects. (like the stream)
A depiction is a predicate: that is, it’s not passive, it actively constitute its subject/target.
double-coding in art code is a kind of metaphor, closer to litterature than in other code texts.
beardsley: metaphor can have a designative role. a metaphor gives two ideas instead of one (john crow ransom, p.263), which adds a “local texture of irrelevance”, inserting a “foreign” component. it can also have a connotative role, where the meaning is peripheral.
rich metaphor (source code poetry) vs. banal metaphor (softdev). the metaphor transforms a property into a sense. -> these are the metaphorical degrees of meaning.
two metaphors:
the question of operational meaning vs. denotational meaning should be explored. what means what to the computer?
touch on the relationship between abstraction and metaphor (does metaphor require abstraction??). in terms of mental models, metaphors relate to schemas: the activity of designing programs consists in activating schemas (detienne)
[La littérature] permet de penser des choses qui sont difficile à penser autrement. p. 17 (terrence cave)
elle est un objet de connaissance, aussi bien sensuel que conceptuel, with an inter-relation between rational thought and imaginative thought. (+ daily life aka reader’s semantic field)
en gros, la littérature décuple notre imaginaire, en particulier en recréant des sensations par le texte. mais quid? quand il s’agit d’un matériau qui n’a pas de sensations
CONNECTION TO NEXT PART: metaphores are (a sort of) architecture of thought
question du caché et du manifeste dans le code?
la programmation est fiction (elle n’existe pas, ontologiquement, c’est l’expérience d’imaginer des contenus dont on n’est pas la source, et d’être—plus ou moins guidé—dans son imagination), et non-fiction car elle est essentielle au problèmes concrets: il est approprié de la traiter des deux manières, possiblement simultanément. c’est en cela que le cadre de la programmation diffère du cadre fictionnel. c’est tout de même un cadre pragmatique de traitement des représentations, au sens où il impose une étiquette cognitive (manière de penser), émotive et pratique. (pas certain de l’émotif, pour la prog).
sir henry wotton on architecture: “commodity, firmness and delight”, which could also be linked to programming. (in beardsley, aesthetic experience)
one of beardsley’s requirements for the aesthetic is “felt freedom” which matches the “feeling alive” sentiment of alexander, which occurs in a good place?
gabriel: patterns of software / search for beauty
Beauty is involved in moving from disorganized complexity towards organized complexity.
Alexander’s successive conceptions of beauty:
“deep interlock and ambiguity create beauty” -> how much does that apply?
the approach is similar, because it’s about “the conditions” of the beautiful, and not “the essence” of the beautiful
He then discovers the “paradoxical interplay between symmetry and asymmetry” (between simplicty and complexity).
Simplicity is not the geometrically banal. Then Gabriel’s addition is the focus on evocative power, on the possibility of signifying something else.
pineiro:
coming back to the “what it does”, there can be a parallel seen between the aesthetic aspect of software and its public aspect? re-use -> zusammenleben -> habitability
a class within a class link is a visual/spatio-mental pattern which means “complexity”, “unmaintainability”, “unsustainability”
bad patterns make possible the kind of actions which result in bad patterns?
detienne: beacons as psychological patterns? it’s about direction (roles!) rather than inhabiting, though.
patterns in arch: how is surface structure transformed into deep structure?
beauty in inscrutability?
Hackers -> this redirects to the understanding of the machine (e.g. trying to reduce character counts for one-liners)
https://linusakesson.net/scene/a-mind-is-born/
is hacking considered beautiful because it’s:
and the intent is clear
winograd:
a special kind of symbol system
PL as notations are compared to English language, since they both have constructs of different types and different scales (sonnet, essay, note, etc.). I argue that there are some constructs that can be considered patterns? Because then aesthetic standards could be thought of as very narrow patterns. (sethi)
The difference among programming languages are not quantitative differences in what can be done, by only qualitative differences in how elegantly, easily and effectively things can be done.
Beautiful languages:
Simplicity enters in four guises: uniformity (rules are few and simple), generality (a small number of general functions provide as special cases a host of more specialized functions, orthogonality), familiarity (familiar symbols and usages are adopted whenever possible), and brevity (economy of expression is sought). p. 20
winograd: theoretical language (rational) vs. practical (situated), this echoes the complaint of kernighan regarding Pascal (Pascal is useless in real situations, compared to PL and C)
winograd: > The first and most obvious point is that whenever someone writes a program, it is a program about something.
(called the subject domain; interesting how it switched to being called problem-domain in software engineering)
cantell-smith: computing is: meaning mechanically realized, due to the fact that the machine comes from non-mechanical origins. we think of computers as digital but they’re actually only digitally implemented.
the semantics (logical, aboutness) (non-local) cannot be reduced to syntactics (local)
are both semantic attribute/qualities.
winograd: “the computer is a device for creating, manipulating and transmitting symbolic (i.e. linguistic) objects.” how does that qualify its relationship to language?
The essence of computation lies in the correspondence between the manipulation of formal tokens and the attributions of a meaning to those tokens as representing elements in worlds of some kind. (p.74)
winograd: mathematical language is, by definition, context-free. the difference is that programming is applied maths.
Meaning is created by an active reading, in which the linguistic form triggers interpretation, rather than conveying information.
how to deduce grounding?
there are three basic kinds of grounding:
semantics imply how variables and functions “should” behave (sethi).
The question of programming languages is: are there symbol systems which perform better than others? Under what standards? (from goodman)
when we talk about esolangs, we are designing a perspective for someone to think through. -daniel temkin src
programming has moved over time from prescribing computers (application domain) to describing problems (problem domain), such that we center less and less around the specificity of the computer, and more and more around the specificity of the problem. (milner)
and the meaning of a formal expression can, with great difficulty and clumsiness, be explained, but the conceptual content still eludes the computer, varying from the mundane (e.g. a counter) to the esoteric (e.g. a wish). as such, even the highest-level code, as beautiful as it is, cannot deal with new environments
semantics themselves are based on domains (wiki “a specific place that shares a set of meanings, or a language that holds its meaning, within the given context of the place.”)
In fact, one of the biggest differences between object-oriented and non-object-oriented programming is the possibility to identify the actor of an action using purely syntactic means. (sustrik)
PL are treated as “ as texts subject to mathematical manipulation” (wirth, essence of PL, p.3)
In programming languages, variables are truly variable, whereas variables in mathematics are actually constant (ibid)
and wirth is actually saying that we don’t really need to understand implementation (how the computer does it)
more wirth:
Stylistic arguments may appear to many as irrelevant in a technical environment, because they seem to be merely a matter of taste. I oppose this view, and on the contrary claim that stylistic elements are the most visible parts of a language. They mirror the mind and spirit of the designer very directly, and they are reflected in every program written. (p.8)
however, he’s talking from a scientist’s point of view, his anecdote of struggling to learn Smalltalk is proof: he wants to understand before experimenting.
[Programmers] saw them as coding schemes by which to feed instructions more efficiently into computers, rather than as notations for designing new, abstract artefacts.
Before closing, let me mention another essential ingredient, one that hardly ever gets mentioned: It must be a pleasure and a joy to work with a language, at least for the orderly mind. The language is the primary, daily tool. If the programmer cannot love his tool, he cannot love his work, and he cannot identify himself with it. (craftsmanship)
a theory of software dynamics (software as a pattern of syntactical form (see Suber, 1988)
cantell-smith:
another concept TYPES
another concept LINKS
a program is a cognitive artefact, which can be understood on three different levels, according to Moor:
Implementation as:
concept: IMPLEMENTATION
semantic understanding is:
Semantics is the decoration of parse trees/ASTs (which is the process of evaluating attributes, which can be either synthesized or inherited). Since decoration is the addition of a new layer (a semantic layer) on top of a base layer (a syntactic one), then this leads to some sort of meta-programming. It happens at a higher level, indeed, but it is still restrained to the fact that it is, indeed, programming (therefore syntax based?). (M. Scott)
software is a model, a medium of thought, an environment (Mahoney, 2011)
in order to understand a computer program, we need to give it meaning, that’s what always happens: “distinguishing from noise is something that literature does” (Suber, 1988, p.97)
the question “what does a Turing machine do?” has n+1
answers. 1 syntactic, and n semantic (however many interpretations)s
beardsley: aesthetic point of view
Gratification is aesthetic when it is primarily obtained primarily from attention to the formal unity and/or the intensity of regional quality.
also the concept of “rules of relevance”: when is an aesthetic experience relevant?
his implication is that there are other point of views than the aesthetic one (what is the one in hacking?)
the most important and relevant of his criteria for the aesthetic experience is “active discovery” -> imaginative realization (budd)
goodman as a prelude to aesthetic cognition:
In the aesthetic experience, the emotion functions cognitively (goodman)
carroll makes a point for a content-first approach to aesthetics: Aesthetic judgments in code aren’t disinterested: they’re vested in being able to understand.
reconnect to pineiro
the MIT study on reading code:
The emphasis placed on the symbolic, cognitive, planning aspects of the arts leads us to give value to the role played by problem-solving, seeing there a model in terms of which the moment-to-moment artist’s behavior at work can be described. “An analysis of behavior as a sequence of problem- solving and planning activities seems to be most promising […]” (goodman)
within a given context, elements are being perceived, processed through existing knowledge schemas in order to extract meaning. (detienne)
question: if mental models are task-oriented, what’s the relationship with aesthetics (passive contemplation)?


French Montana in hospital after cops visited house and saw him acting strange
French has been admitted to an LA hospital for reportedly suffering stomach pains, nausea and an elevated heart rate after police called him an ambulance
by Will Twigger, https://www.mirror.co.uk/authors/will-twigger/French Montana is reportedly is hospital after cops called him an ambulance.
Officers in the Calabasas area, where French lives, are said to have responded to a call about a possible robbery at the rapper's home.
It was a false alarm - but it's reported the officers noticed something wasn't right.
French - real name Karim Kharbouch - is said to have been acting abnormally, with sources close to French telling TMZ that he'd been experiencing stomach pains, nausea and an elevated heart rate.
A source also told the website that he was admitted to San Fernando Valley Hospital, and that close pals reckon he may have been exposed to contaminated food.
The rapper's internationally renowned and respected, and his latest bout of travelling saw him jetting all over Europe and the Middle East.
French is known for a huge range of songs including Famous and No Stylist, in which he raps alongside Drake.
He's also noted for his dating past, which includes none other than Khloe Kardashian .
It was thought that earlier this year, Khloe turned to her ex following her split from NBA player and father of her child, Tristan Thompson.
A source told Hollywood Life: "Khloe has been leaning on her ex French in the last few months.
"French is someone that Khloe has always been able to trust and talk about things."
They added: "Khloe always felt that French had her best interests at heart and will forever respect him and what he has to say.
"It's too soon to see if sparks will ever fly again between the two as it isn't out of the realm of possibility, but Khloe needs him more as a friend right now and they are both OK with that."
The rapper made some serious waves when he claimed he could have saved the life of Mac Miller, a fellow rapper who was found dead at his home last year from a drug overdose.
He said: "I feel like I have people that if I do something like that, like how I was to him, like a big brother, more like, 'You bugging me out', he didn't have that around him.
"So if I did it that night, if I'd been around him a couple more nights, I would've made him stop, but he didn't have nobody who was doing that."


COM6102 Advanced Java Programming
| Summary |
This module presents the object-oriented approach to
building large software systems from components in the Java
Programming Language. It assumes basic Java Programming
skills acquired in COM6471. Large-scale program design and
implementation issues are covered, using the Java
Application Programmer's Interface, the Java Foundation
Classes, the Java Abstract Windowing Toolkit and the Java
Collections Framework. Detailed topics include: data and
procedural abstraction, generics, collection interfaces and
implementations, searching and sorting algorithms, time and
space complexity analysis, the event-driven model of
computation, GUI building and files. |
| Session |
Spring 2018/19 |
| Credits |
15 |
| Assessment |
There will be no written examination for this module.
Assessment will be based on a 3-stage coursework assignment
weighted 35%, 35% and 30% respectively.
For each stage, there will be an individual interview with the module leader and demonstrators to demonstrate each piece of coursework and to answer questions about the assignment.
|
| Lecturer(s) |
Dr Maria-Cruz Villa-Uriol |
| Resources |
|
| Aims |
- to provide a grounding in object-oriented programming
techniques;
- to inculcate a component-based approach to large
program design;
- to introduce key aspects of GUI design;
- to develop an understanding of data structures and
algorithmic complexity
- to establish a sound and consistent programming style
in Java.
|
| Objectives |
By the end of this course, students will:
- understand what is meant by object-oriented and
component-based programming;
- understand the time and space trade-offs between
different implementations of collections;
- understand the basics of visual application
programming.
|
| Content |
- Review of object-oriented programming: objects,
classes, inheritance and polymorphism
- Exception handling
- Recursion
- Input and output
- Generics
- Collections
- Swing
- Threads and Concurrency
|
| Restrictions |
Only available to students whose home department is
Computer Science (or to students on joint programmes with
Computer Science). |
| Teaching Method |
Teaching will begin in the week before semester starts
followed by lectures and practical classes for the first 6-7
weeks of semester. Laboratory sessions will be ebedded during lectures to support the
practical work. |
| Feedback |
The primary form of feedback will be the grades and individualised feedback
comments on the first two stages of the assignment. Individual feedback will be provided to students during the individual interviews held after the submission of each piece of coursework. Marks will be
returned with sufficient time for problems to be addressed
in the next installment. Additionally, regular lab work will
be offered to students and discussed in labs and classes with the module leader and demonstrators. |
| Recommended Reading |
B.J Evans & D Flanagan, Java in a Nutshell (2014, 6th Ed), O'Reilly.
C. Horstmann & G. Cornell, Core Java
Vol. I and II. (2012, 2013 9th Ed), Prentice Hall. |
|


Asia is one of the most booming and evolving continents in the world right now. It is also one of the largest and most populated continents in the world home to many diverse cultures.Both Tokyo and Hong Kong are very dynamic cities. Tokyo was full of so much unique colorful buildings everywhere I went. One of the fashion industries there that I loved was the nail polish industry. The nail salons there do 3D designs that include trendy cool colors and patterns.
Hong Kong, China
Hong Kong is one of the most international cities in the world. Its unqiue in that it still has a lot of british influence in its culture in terms of language, architecture and some culture. They even drive on the left side of the road. There is still a lot of Chinese culture that makes Hong Kong unique such as the tradition of hot pot. I had an amazing trip here and really enjoyed the traditionl food to Hong Kong. I ate a lot fo eggplant and chili pepper based dishes. It was also very infleunced by the british culture which, as someone who grew up in the UK, I loved.
Tokya, Japan
Besides being another diverse dynamic city in Asia, Tokyo is also one of the fashion capitals of the world. With new trends emerging and Asian designers such as MCM Tokyo is always growing and inspiring new ideas in fashion. It also is one of the most forward cities in technology having the first underground parking garages.


SetOrigin()
Syntax
SetOrigin(x, y)Description
Set an offset at which all drawing in the current output takes place. This defines the location of the coordinates (0, 0) within the output for every following drawing command. By default, the origin is located in the upper left corner of the drawing output.
Parameters
x, y The new position of the drawing origin. This is an absolute location and is not affected by any previous call to this function.
Return value
None.
Remarks
This command affects the location of all future drawing commands with the exception of the ClipOutput() command and the SetOrigin() command itself. Also, the coordinates received in a CustomGradient() or CustomFilterCallback() callback are always absolute regardless of any calls to this function.
Example
If OpenWindow(0, 0, 0, 200, 200, "2DDrawing Example", #PB_Window_SystemMenu | #PB_Window_ScreenCentered) If CreateImage(0, 200, 200, 24, $FFFFFF) And StartDrawing(ImageOutput(0)) ; Draw the same figure at different locations by moving the drawing origin For x = 0 To 120 Step 40 For y = 0 To 120 Step 60 SetOrigin(x, y) Box(0, 0, 30, 30, $FF0000) Circle(15, 15, 10, $00FF00) Next y Next x StopDrawing() ImageGadget(0, 0, 0, 200, 200, ImageID(0)) EndIf Repeat Event = WaitWindowEvent() Until Event = #PB_Event_CloseWindow EndIf
See Also
GetOriginX(), GetOriginY(), ClipOutput()
Supported OS
All


IPv6 is going to replace IPv4. The simple reason is that IPv4 address space is running out. The world has reached the point where there are not enough 32 bit addresses to link every device which wants to connect to the Internet. IPv6 uses 128 bits. Much larger. Much much larger. IPv6 allows almost 8*1028 times as many addresses as IPv4. Basically, a number too large for the human mind to grasp.
Because of the enormity of IPv6 address space, subnetting will change. Currently we use CIDR and VLSM and NAT and other tools to conserve as much IPv4 space as possible. With IPv6 this is no longer a concern. The smallest subnet that is recommended for use in IPv6 is a /64! This means that even if you have 200 devices on a single /64, you still have 264-200 of unused space.
Because of the scale of IPv6, one no longer really worries about how many hosts are on a subnet. Rather the concern is how many subnets fit within a certain network. If you have a /48, how many /64s can you place inside this /48? These are the questions that IPv6 subnetting asks. Try IPv6 Subnetting.
IPv6 is written in hexadecimal which uses the digits 0-9 and a-f. A hexadecimal digit represents 4 bits, or 16 decimal units. Each IPv6 address is represented by eight groups of four hexadecimal digits. These groups are separated by colons. An example may be: 2001:0db8:2231:aaec:0000:0000:4a4a:2100. Try practicing binary.
Even though these addresses are written in hexadecimal units, they are still large and cumbersome. There are a couple of ways to shorten them. One or more leading zeros from each group can be dropped. A consecutive set of groups with only zeros can be replaced with ::. The above address can be written as: 2001:db8:2231:aaec::4a4a:2100.
Note that the :: should only be used on more than one section of zeros, and can only be used once per address. 2001::ab32:: is not a valid address because we do not know how many sets of zeros are in each :: group. The address could be 2001:0000:0000:ab32:0000:0000:0000:0000 or it could be 2001:0000:0000:0000:0000:ab32:0000:0000.
Though the representation of the numbers is different, the computer still uses binary to do the actual subnetting. The binary math is the same, it is just using larger numbers. There is still a network portion and a host portion of every address.
IPv6 does not use network addresses or broadcast addresses. An address where the host bits are all 0s or all 1s is still valid!
We also do not use subnet masks for IPv6. Everything is written in slash notation. In IPv6 the first 48 bits are used for networking and routing. The next 16 and used to define subnets. The last 64 and used to identify a host.
With IPv6 is that every device can create a unique link local address based on the MAC address of the device. What one does is inset 0xFFEE into the middle of the MAC address. This changes the MAC address to 64-bits from 48-bits. The other thing that needs to happen is to flip the 7th bit. A link local unicast address is fe80::/10
The number of subnetting bits is the new prefix length minus the original prefix length. So there are 4 subnetting bits when a /48 is broken into /52s (52-48=4).
The number of subnets possible with x subnetting bits is 2x. So if we have 4 subnetting bits, then we can create 24=16 new subnets.
::1/128 is the loopback address.Our subnetting cheatsheet includes IPv6.
IPv6 addresses should be written a certain way. This will make interpreting the addresses faster and easier, both for humans and for computer programs.
Leading zeros must be removed. 2001:0db8::0001 must be written as 2001:db8::1.
"::" must be used to represent the largest number of 16-bit sets of zero as possible.
If there are multiple places where "::" can be used, and the numbers of zeros are the same, use "::" on the leftmost set of zeros
"::" cannot be used to shorten a single 16-bit set of zeros.
Letters in an IPv6 address should be written in lowercase.
To represent port numbers, wrap an IPv6 address in square brackets then followed by a colon and the port number as [2001:db8::1]:80
For more information see RFC5952.


Gender Recognition by Voice
Home
(current)
Search
Gender Recognition from voice
Record
Get Back and test the App!
Result:


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I wasn't (and still am not) very familiar with modules, which is the reason I wanted to Blog about them today. I've been pretty curious about classes v. modules myself, so I when I saw that on the challenge I knew they must be pretty similar. And it seems they are. Classes and modules are both used to group a bunch of code together, code that you will often want to type when building a giant program. They are tools to help you group specific lines of code together and easily use them over and over again.
My understanding is modules can be used as a separate storage compartment when you need it. Classes are used to create instances but modules are not. Modules can collect methods and constants (and even classes!) but modules aren't used for instances.
Modules can be used to store pieces of code that can then be used across multiple classes, let's say. If you look up modules (like I had to), you will often read that this helps prevent name clashes. If two methods or even two classes got named the same thing, modules can store them differently so your program knows which one to call on at the right time. Just think of modules as another layer of which to group and store your code.
Nick Siefken


Biscuit tin kept in kitchen cupboard for 25 years sells for £3,000
“We came across it again when we moved house. You put things away and just forget about them.”
by Neil ShawA biscuit tin of a double-decker bus which was kept in a kitchen cupboard for decades turned out to be a rare collectors’ item and sold for more than £3,000.
The Huntley & Palmers tin had been gathering dust for 25 years after its owners, a retired couple, tucked the object away in a cupboard and forgot all about it.
When the couple moved house they discovered the colourful red and cream tin and took it to an antique valuation event to find out about its history.
They were left stunned when experts revealed it was a 1929 prized collectors’ item and was worth thousands of pounds.
The 90-year-old biscuit tin doubles up as a clockwork double decker motor bus destined for London's Liverpool Street complete with passengers and driver.
The vehicle features pictures of a sassy set of 1920s London commuters together with the driver and a Huntley & Palmers advert for Breakfast Biscuits.
It was expected to sell for around £1,000 but it eventually fetched £3,100 when it went under the hammer at Hansons Auctioneers on Tuesday.
The couple, who remain anonymous, said: “It’s truly amazing. We’re surprised and delighted by the price it sold for.
“To say we were absolutely gobsmacked when we first found out it could be worth £1,000 to £1,500 is the understatement of the year – and it sold for even more.
“We just took it along to a free valuation event with a couple of other items to find out a bit more about it.
“I’ve kept it in a cupboard for 25 years.
“It’s come out of its box a couple of times. I inherited it from my mum and she got it from her cousin who used to run a corner shop in the Doncaster area a long time ago.
"It was found in a cupboard at the shop.
“We came across it again when we moved house. You put things away and just forget about them.”
Auctioneer Charles Hanson realised the value of the tin when he examined it an open day event last month.
He said: “I was amazed when I saw it. It had been tucked away in a cupboard at a shop and still had its original cardboard box.
"It was made 90 years ago and dates back to the start of the Great Depression in 1929.
"It’s survived unscathed through numerous world events including the Second World War which lasted from 1939 to 1945.
“Thanks to the ingenuity of their designs, Huntley & Palmers biscuit tins became as highly prized as the products they contained.
"Now they are collectors’ items.
"From miniature replicas of vehicles to tins that could be re-used as household objects, the firm came up with ways to make their biscuit tins extra special.”


Passionate about new technologies for a long time, I use my skills through my projects and my blog where I try to combine my skills. Self-taught, I like to learn new things by myself, and teach them to others. I am moving towards computer security, which is an area that interests me enormously because of the richness of its possibilities.
I enjoy spending time jogging, biking. I also practice music ( Clarinet and Piano ).
This program allowed me to acquire the necessary skills and knowledge in Mathematics and Physics.
It covered topics such as Advanced Mathimatics and Advanced Physics
Management of an IT project, and its community. Project in Python, allowing the management of a house with connected objects and home automation.
Creation of a software with Electron and ReactJS, allowing to connect and manage different services in a single software to increase productivity.
| Skill | Skill | Proficiency |
|---|


Sending messages back and forth is at the core of instant messaging. Although individual messages can be sent and received as packets, it's generally easier to treat the string of messages as a chat using the
Chat
A chat creates a new thread of messages (using a thread ID) between two users. The following code snippet demonstrates how to create a new Chat with a user and then send them a text message:
// Assume we've created a Connection name "connection". ChatManager chatmanager = connection.getChatManager(); Chat newChat =<EMAIL_ADDRESS>new MessageListener() { public void processMessage(Chat chat, Message message) { System.out.println("Received message: " + message); } }); try { newChat.sendMessage("Howdy!"); } catch (XMPPException e) { System.out.println("Error Delivering block"); }
The
Message newMessage = new Message(); newMessage.setBody("Howdy!"); message.setProperty("favoriteColor", "red"); newChat.sendMessage(newMessage);
You'll also notice in the example above that we specified a MessageListener when creating a chat. The listener is notified any time a new message arrives from the other user in the chat. The following code snippet uses the listener as a parrot-bot -- it echoes back everything the other user types.
// Assume a MessageListener we've setup with a chat. public void processMessage(Chat chat, Message message) { // Send back the same text the other user sent us. chat.sendMessage(message.getBody()); }
Incoming Chat
When chats are prompted by another user, the setup is slightly different since you are receiving a chat message first. Instead of explicitly creating a chat to send messages, you need to register to handle newly created Chat instances when the ChatManager creates them.
// Assume we've created a Connection name "connection". ChatManager chatmanager = connection.getChatManager().addChatListener( new ChatManagerListener() { @Override public void chatCreated(Chat chat, boolean createdLocally) { if (!createdLocally) chat.addMessageListener(new MyNewMessageListener());; } });


Press F11 when cursor is in the editor to toggle full screen editing. Esc can also be used to exit full screen editing.
Note: Does not currently work correctly in IE
6 and 7, where setting the height of something
to 100%
doesn't make it full screen.


We provide the best Beard oil all over the world. We are the worldd best store for Beard Oil. You can buy our product without any hegitation because we always consus about our product quality and always maintain it properly so your can trust and this is our main goal we belive that.
We provide the best Beard oil all over the world. We are the worldd best store for Beard Oil. You can buy our product without any hegitation because we always consus about our product quality and always maintain it properly so your can trust and this is our main goal we belive that.
We provide the best Beard oil all over the world. We are the worldd best store for Beard Oil. You can buy our product without any hegitation because we always consus about our product quality
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Utenim ad minim veniam.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Utenim ad minim veniam, quis nost rud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.


Genesis of Robotics is a home-school robotics team of 15 participating in the 2013 Texas BEST Robotics competition, GateKeeper. We are a team of engineers, artists, and designers.
Genesis of Robotics is a highly competitive team. We are determined to do our best this year and every one of us will put blood, sweat and tears into the competition. Our mission is to use each of our unique, God given gifts to the best of our abilities to take our team to the top. Look out, BEST opponents!
Our team is thoroughly grounded in Christ and prayer and we give God all the glory for our ideas and success. After all, He is the Master Designer.
Trust in the Lord with all your heart and lean not on your own understanding; in all your ways submit to him and he will make your paths straight. Proverbs 3:5-6
We believe that Genesis of Robotics has constructed a robot of superior quality, one that has scored high on the testing field and at the competition. Engineers have worked to perfect its design for the highest possible score and best quality. This robot was successful at the competition, and we intend to use what we learned from it for the next challenge.
The robot's core structure is a tower extending to near the maximum height possible. This tower's rigidity makes the entire machine stable and durable. The base is able to rotate 360 degrees to access materials at any angle.
The robot's arm extends and adapts to the challenge, capable of positioning the grasper as far as needed. The arm operates with precision, raising by a powerful winch and extending with exactness. The front part of the arm folds into the 2 foot cube at the beginning of a testing match, then swings out into a locked position for greater reach. This innovative locking mechanism lets the robot fit BEST Inc. specifications while extending our reach to the furthest components.
The robot's grasper is designed to grip transistor containers and logic gates with accuracy and security. The wrist is able to twist 360 degrees to flip transistor containers and position logic gates. The flat edges at the front of the grasper grip integrated circuits, allowing final assembly into CPUs. Our special attachments are able to install two logic gates at once, halfing the assembly time of integrated circuits.
BEST (Boosting Engineering Science and Technology) gives middle school and high school students nationwide the valuable opportunity to learn about real-world engineering through the design, composition, and marketing of a robot.
The mission of BEST Inc. is to "inspire students to pursue careers in engineering, science, technology, and mathematics through robotics design."
The significance of BEST lies not only in the great opportunity for the students to grow their leadership, teamwork, problem solving, and abstract thinking skills, but also as a way for students to explore various career paths as they prepare for their future in the real world.
Learn more at BESTinc.org
2013's BEST competition, GateKeeper, was based on the rapidly growing area of computer technology. Teams were given six weeks to design and build a robot, create a technical notebook, and prepare a tradeshow exhibit and marketing presentation. Then, they competed in a timed environment to build a CPU (Central Processing Unit) by remotely controlling a robot to manipulate and assemble electronic parts.
The robot was mounted on a platform that slides along a track and swings across the factory floor. The operator controlled the robot from the side, while the spotter operated the moving platform. The CPU was assembled through multiple rounds of production and in three stages, with components persistant between them.
The robot collects transistor containers and installs them on the assembly line. Depending on how they are installed, the machine will produce a different amount of the respective logic gate.
The robot places logic gates collected in the first stage on the appropriate IC assembly lines. When the right combination of gates are supplied, an integrated circuit is produced.
The robot places the ICs produced in stage 2 on the assembly table to produce a CPU (Central Processing Unit).
The Genesis of Robotics Team was organized in 2012 for the BEST Warp XX Challenge. The team formed because of a shared interest in robotics and competition. The BEST competition gave Genesis of Robotics an amazing bonding and learning experience and better prepared each individual team member for their future.
The team is proud of their success at Cowtown BEST and Texas BEST.
The team was tasked with building a multi-functional vehicle for the Space Elevator. The vehicle had to grab various equipment from the base station, carry it up the cable to the midway station, and install it there, all within a stringent time limit. As in every BEST challenge, the competition included marketing before a panel of judges, an exhibit, and a technical notebook.


Giordano Zatta is a graphic designer based in New Zealand. You can see his work
here
, or contact him
here
.


Generate and edit metadata for an image
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Woman set on fire by neighbour in Bihar after failed rape bid
According to the complaint, the woman was alone at home on Saturday, when the accused, who lived close by, sneaked into her house and tried to rape her.

The 23-year-old victim, who suffered 50 per cent burns in the incident, was currently undergoing treatment at a hospital in the Muzaffarpur town, he said.
Based on a complaint filed by her mother with Ahiyapur police station, the accused has been arrested, Station House Officer (SHO) Vikas Rai said.
According to the complaint, the woman was alone at home on Saturday, when the accused, who lived close by, sneaked into her house and tried to rape her.
Her mother -- who works at a primary health centre -- rushed home and took her to a hospital after a local informed her about the incident, the SHO added.
Saturday's incident comes less than a week after charred bodies of two women, set afire after suspected rape and murder, were found in Buxar and Samastipur districts.
In another village in Ahiyapur police station area, the body of an eight-year-old girl was found on Friday - stuffed in a bag and dumped in an orchard after suspected sexual assault.


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Tamagotchi
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Project Description
Workout tracking device
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Collect the exercise data
Encourage people to exercise
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@ Geekshubs Academy
Valencia, Spain
@ Oyo Vacation Homes
Barcelona, Spain
@ Europe Express
Barcelona, Spain
@ Tracoin
London, UK
@ Citadines Group
London, UK
@ QHotels Group
Hellidon (Daventry), UK
I was born and raised in Valencia the 1st May 1987, in a town not too far from the city called Riba-roja de Turia. I am a
hard-working and motivated person with an open mind, target oriented, quick thinker
and fast learner. I am able to adapt to different situations and environments quickly
and work well under pressure. I am a confident, humorous person who gets on well
with people, and, therefore, I am able to participate and contribute quite comfortably
with a team in team working situations. On the other hand, I am also independent and
dedicated enough to work as an individual where this is required.
As you can see on the pictures below, rightnow I have 2 passions: climbing and my dog "Dharma". She will turn 2 the 14th of March and it is the best thing ever happen to me.
I like to take her with me the days I go climbing, and to see the way she enjoys the mountain produces me a great joy.


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Join the BaselInside channel on Slack:baselinside.slack.com
BaselHack official website:www.baselhack.ch
BaselStats source code on GitHub:GitHub/BaselStats


XCGCrashlyticsLogDestination
CocoaPods
Add pre-install hook:
pre_install do |installer|
def installer.verify_no_static_framework_transitive_dependencies; end
end
and
pod 'XCGCrashlyticsLogDestination'
What inside
XCGCrashlyticsLogDestination
Writes your log into Crashlytics custom logs.
Can automatically convert your
.Severe
log to Crashlytics non-fatal errors (if you wish, ofcourse).
XCGLogger
extension
error
andsevere
methods supportsNSError
.nonFatalError
method, that will pass yoursString
orNSError
to Crashlytics non-fatal errors, withoutXCGCrashlyticsLogDestination
.
Usage
let log = XCGLoger(...
XCGCrashlyticsLogDestination
Send all severe
logs to Crashlytics as non-fatal erors, and attach log to all errors, if they are occured:
let crashlyticsDestination =
XCGCrashlyticsLogDestination(owner: log,
identifier: "crashlyticsDestination",
outputToConsole: false,
recordSevereLogAsNonFalalErrors: true)
log.addLogDestination(crashlyticsDestination)
...
log.info("Yours message")
Note: XCGCrashlyticsLogDestination
object overwrites Crashlytics.sharedInstance().delegate
on initialization to get crash report for last execution. It’s better to have only one instance of XCGCrashlyticsLogDestination
.
XCGLogger
extension
Log an occured NSError
, and send it to Crashlytics:
let error: NSError? = ...
log.nonFatalError(error)
or
log.nonFatalError {
...
let error: NSError? = ...
return error
}
or log an error String
, and send it to Crashlytics:
log.nonFatalError {
guard !somethingGood else { return nil }
return "Holy diver!"
}
and ofcourse:
log.error(`NSError`Object)
and
log.severe {
...
return `NSError`Object
}
References
You can find more info on XCGLogger/Crashlytics (documentation and setup) here:


Charge dropped against former NBA player Jim Farmer
DOTHAN, Ala. (AP) - A judge in Tennessee has dropped a human trafficking charge against former NBA player Jim Farmer.
The Dothan Eagle quotes defense lawyer Worrick G. Robinson IV as saying a court dismissed the charge against the one-time University of Alabama standout on Tuesday.
Robinson says the decision came during a preliminary hearing for Farmer.
The Tennessee Bureau of Investigation says the 55-year-old resident of Franklin, Tennessee, was among 16 men arrested last month on charges of seeking sex from minors. The men were arrested during a two-day sting operation.
The 55-year-old Farmer was a leading scorer at Alabama before being picked in the first round of the NBA draft in 1987. He played in the league for six seasons with Denver, Dallas, Utah, Seattle and Philadelphia.
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| 033:034 Khan | : |
And remember (O you the members of the Prophet's family, the Graces of your Lord), that which is recited in your houses of the Verses of Allah and Al-Hikmah (i.e. Prophet's Sunnah legal ways, etc. so give your thanks to Allah and glorify His Praises for this Qur'an and the Sunnah). Verily, Allah is Ever Most Courteous, Well-Acquainted with all things. |
| 033:034 Maulana | : |
And remember that which is recited in your houses of the messages of Allah and the Wisdom. Surely Allah is ever Knower of subtilties, Aware. |
| 033:034 Pickthal | : |
And bear in mind that which is recited in your houses of the revelations of Allah and wisdom. Lo! Allah is Subtile, Aware. |
| 033:034 Rashad | : |
Remember what is being recited in your homes of GOD's revelations and the wisdom inherent therein. GOD is Sublime, Cognizant. |
| 033:034 Sarwar | : |
Wives of the Prophet, remember the revelations of God and Words of wisdom that are recited in your homes. God is Most Kind and All-aware. |
| 033:034 Shakir | : |
And keep to mind what is recited in your houses of the communications of Allah and the wisdom; surely Allah is Knower of subtleties, Aware. |
| 033:034 Sherali | : |
And remember what is rehearsed in your houses of the Signs of ALLAH and wisdom. Verily, ALLAH is Subtle, All-Aware. |
| 033:034 Yusufali | : |
And recite what is rehearsed to you in your homes, of the Signs of Allah and His Wisdom: for Allah understands the finest mysteries and is well-acquainted (with them). |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > صفات الله تعالى > اللّطيف Pillars of Islam> Islamic> Oneness of Allah> His Glory's Characteristics> The Most Subtle and Courteous أركان الإسلام > (محمد (صلى الله عليه وسلم > أزواجه وبناته Pillars of Islam> The Blessed Muhammad(PBUH)> His Wives and Daughters أركان الإسلام > (محمد (صلى الله عليه وسلم > مآثره وخصائصه لله Pillars of Islam> The Blessed Muhammad(PBUH)> Memorable Qualities given to Him by Allah الدعوة إلى الله > الحكمة في الدعوة > وجوب التزام الحكمة The Call for Allah> The Wisdom in the Mission> Having to Keep to the Wisdom Side الدعوة إلى الله > وجوبها > الترهيب عن التقصير في الدعوة إلى الله The Call for Allah> Its Necessity> Frightening for Slackness to Call for Allah الإنسان والعلاقات الأخلاقية > الأخلاق الحميدة > الحكمة Man and The Moral Relations> Good Morals>Wisdom
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


{% extends "base.html" %} {% load static %} {% block title %}Contact - {{ block.super }}{% endblock %} {% block analytics %} analytics.page("Contact"); {% endblock %} {% block content %}
All Hello Web Books were written by Tracy Osborn, and she can be reached at tracy@hellowebbooks.com.


NotaryChangeFlow(originalState: StateAndRef<T>, newNotary: Party)
A flow to be used for changing a state's Notary. This is required since all input states to a transaction must point to the same notary.
This assembles the transaction for notary replacement and sends out change proposals to all participants of that state. If participants agree to the proposed change, they each sign the transaction. Finally, the transaction containing all signatures is sent back to each participant so they can record it and use the new updated state for future transactions.


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Design and Develop by INCAPP


{{title}}
by {{author}} on {{date_published}}
{{{ellipsis summary 100}}}
{{#each (limit tags 1)}}--- blog: recent_posts: limit: 3 pages: 1 summary: 200 --- {{#partial "page"}}


Functions to visualise webs and calculate a series of indices commonly used to describe pattern in (ecological) webs. It focuses on webs consisting of only two levels (bipartite), e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the web's topology.
| Version: | 2.11 |
| Depends: | vegan, sna |
| Imports: | fields, igraph, MASS, methods, permute |
| Suggests: | knitr |
| Published: | 2018-07-11 |
| Author: | Carsten F. Dormann, Jochen Fruend and Bernd Gruber, with additional code from Stephen Beckett, Mariano Devoto, Jose Iriondo, Rouven Strauss and Diego Vazquez, also based on C-code developed by Nils Bluethgen, Aaron Clauset/Rouven Strauss and Miguel Rodriguez-Girones |
| Maintainer: | Carsten F. Dormann <carsten.dormann at biom.uni-freiburg.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | https://github.com/biometry/bipartite |
| NeedsCompilation: | yes |
| Citation: | bipartite citation info |
| CRAN checks: | bipartite results |
| Reference manual: | bipartite.pdf |
| Package source: | bipartite_2.11.tar.gz |
| Windows binaries: | r-devel: bipartite_2.11.zip, r-release: bipartite_2.11.zip, r-oldrel: bipartite_2.11.zip |
| OS X binaries: | r-release: bipartite_2.11.tgz, r-oldrel: bipartite_2.11.tgz |
| Old sources: | bipartite archive |
| Reverse imports: | bipartiteD3, econullnetr, plsRglm |
| Reverse suggests: | HiveR |
Please use the canonical form https://CRAN.R-project.org/package=bipartite to link to this page.


On Saturday a friend of mine and I decided to do some Amanita Muscaria that I had purchased from a supplier. I had read an obsessive amount of literature on it, including Wasson's Soma. Divine Mushroom of Immortality. Yeah right. After boiling 52 grams of dried mushrooms in water for an hour, my friend ingested 22 grams of the soup and the mushrooms. I quaffed down the remainder. 30 grams that is.  If Im gonna do it, do it right'. A dictum my friend and I always stuck by since our drug fueled college days.  'Yeach'.
At 2:25 PM I started feeling nauseous and lay down on an Oriental carpet. The Stone Roses were playing on the CD player. The nuasea seemed to emanate from both my head and stomach.  I was so nuaseated that the music seemed miles away. At one point I felt like puking, but my friend D had gone into the bog to take a crap and so I just lay there writhing. I told him to hurry up and when he was finally done, I ran to the bowl and puked the most painful puke I have ever had. Worse than a heroin or alcohol puke. Once this was done I felt slightly better, but still really bad. We did a couple of bong hits of D's home grown skunk and then I proceeded to lay on the carpet again. At this point D got up and decided to go out.
I lay on the floor listening to the Stone Roses. They were awesome as ever, but since the music was made for tripping on E and since I was kinda feeling a heightened buzz, the music felt literally like a wall of sound. One song in particular seemed unravelled. There seemed no begining or end. Its difficult to explain. All the instruments and particular sounds seemed non-cohesive and separated. Unravelled.
After a while I started chattering and shivering. It became really cold and the area right above my groin started to feel acutely painful. I don't know my anatomy, but started to wonder if this was where my kidneys were located and whether I was going to have renal failure. [Erowid Note: the kidneys are located along the spine in the lower back, so this doesn't sound like a kidney problem.]
I was so cold and shivering I finally got the courage up to get up and head for my bed. I lay under a thick blanket on a sunny spring afternoon and since I was feeling really drowsy and since I was feeling really nauseated I tried to pass out. I did for about what I think was two hours. At one point I got up to shut a window and realized that I felt physically powerful and felt a numbness in my hands. (My arms and hands seemed to have more strength in them than usual.) But the dread of nausea was so great I didn't want start jumping around or do anything physical.
As I lay passing in and out of consciousness, I kinda felt my ego/self separated from the rest of my body. This is the only way I can describe it. I felt like my ego was disconnected from the rest of my physical and mental? being. I really don't know exactly how it felt. Like I was looking down at myself and being able to perceive clearly as a third entity, my character and seeing things I should change about myself. Ive been referred to as the angry young man by many of my friends and kinda felt like I was viewing this guy/me who was an angry person. I got the same vibe from him as I do from my dad sometimes.
I don't recall how much time had passed when I woke up, but I didn't feel any nausea and drowsiness. I just lay in bed, with this wierd heightened buzz. It wasn't like a Psilocbin/LSD/E heightened buzz. I would't even call it a trip. It was just this non-psychedelic buzz.
As I lay there I heard D come back. I pretended I were dead in bed and when he came close to examine me I jumped up. Not very funny. We realized that we both had extremely blurry vision. He was at the park and said it was a buzz hassle 'cos all these roller bladers kept on passing him, but he couldn't see them until they were passing by him.
We were both also sweating profusedly and salivating like mad. The shivering/chaterring/chills were still there but not as bad. D was like 'Dude I feel something but Im not tripping.  I laughed and told him I felt the same. All I felt was this 'heightened' feeling, but it definitely wasn't psychedelic. We both still had blurry vision. All these combinations made me glad that we hadn't gone to the pictures. (Matrix was playing). I was really glad it was fading away and that I hadn't gone out. In one word 'This really sucked!'.
I sat down, put on some Happy Mondays and Oasis on the CD player and proceeded to draw up two lines of Anadenathera Colubrina lines (Cohoba). D didn't want any so I snorted both lines in quick succession. Nothing happened. Absolutely nothing. (By the way I've tried bonging it and smoking it when I was straight, and still nothing.)
Four hours after ingestion, things started feeling normal, but not completely. The blurry vision was still there. So was this wierd heightened, doesn't do it for me buzz. We went out to get some Sushi and beer. The taste was shite and I couldn't and didn't want to finish my beer and sake, let alone the food. After 7 hours we were back to normal, but fried.
Going out to a friends party and a date afterwards was not really a good idea. Fellow psychonauts, try this shroom, but don't do a lot. I think 15g will probably be best. When I did 8g a week before, I felt no nausea, I felt a certain clarity of mind, kinda euphoric and confident, and my perception of the world was tinged with a certain sense of 'holiness'. I also felt energetic at one point and got up and started to do a little jig!. Music was also amazing, like a wall of sound, with some colours.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


|
Apache log4cxx
Version 0.10.0
|
TTCC layout format consists of time, thread, logger name and nested diagnostic context information, hence the name. More...
Inherits DateLayout.
Public Member Functions | |
| TTCCLayout () | |
| Instantiate a TTCCLayout object with RelativeTimeDateFormat as the date formatter in the local time zone. More... | |
| TTCCLayout (const LogString &dateFormatType) | |
| Instantiate a TTCCLayout object using the local time zone. More... | |
| void | setThreadPrinting (bool threadPrinting1) |
| The ThreadPrinting option specifies whether the name of the current thread is part of log output or not. More... | |
| bool | getThreadPrinting () const |
| Returns value of the ThreadPrinting option. More... | |
| void | setCategoryPrefixing (bool categoryPrefixing1) |
| The CategoryPrefixing option specifies whether Logger name is part of log output or not. More... | |
| bool | getCategoryPrefixing () const |
| Returns value of the CategoryPrefixing option. More... | |
| void | setContextPrinting (bool contextPrinting1) |
| The ContextPrinting option specifies log output will include the nested context information belonging to the current thread. More... | |
| bool | getContextPrinting () const |
| Returns value of the ContextPrinting option. More... | |
| void | setFilePrinting (bool filePrinting1) |
| The FilePrinting option specifies log output will include the file and the line where the log statement was written. More... | |
| bool | getFilePrinting () const |
| Returns value of the ContextPrinting option. More... | |
| virtual void | format (LogString &output, const spi::LoggingEventPtr &event, log4cxx::helpers::Pool &pool) const |
| In addition to the level of the statement and message, this function writes to the ouput stream time, thread, logger and NDC information. More... | |
| virtual bool | ignoresThrowable () const |
| The TTCCLayout does not handle the throwable contained within LoggingEvents. More... | |
| Public Member Functions inherited from DateLayout | |
| DateLayout (const LogString &dateLayoutOption) | |
| virtual | ~DateLayout () |
| virtual void | activateOptions (log4cxx::helpers::Pool &p) |
| Activate the options that were previously set with calls to option setters. More... | |
| virtual void | setOption (const LogString &option, const LogString &value) |
Set option to value . More... | |
| void | setDateFormat (const LogString &dateFormat1) |
| The value of the DateFormat option should be either an argument to the constructor of helpers::DateFormat or one of the strings "NULL", "RELATIVE", "ABSOLUTE", "DATE" or "ISO8601. More... | |
| const LogString & | getDateFormat () const |
| Returns value of the DateFormat option. More... | |
| void | setTimeZone (const LogString &timeZone) |
The TimeZoneID option is a time zone ID string in the format expected by the locale C++ standard class. More... | |
| const LogString & | getTimeZone () const |
| Returns value of the TimeZone option. More... | |
| void | formatDate (LogString &s, const spi::LoggingEventPtr &event, log4cxx::helpers::Pool &p) const |
| Public Member Functions inherited from Layout | |
| virtual | ~Layout () |
| void | addRef () const |
| void | releaseRef () const |
| virtual LogString | getContentType () const |
| Returns the content type output by this layout. More... | |
| virtual void | appendHeader (LogString &output, log4cxx::helpers::Pool &p) |
| Append the header for the layout format. More... | |
| virtual void | appendFooter (LogString &output, log4cxx::helpers::Pool &p) |
| Append the footer for the layout format. More... | |
| Public Member Functions inherited from OptionHandler | |
| virtual | ~OptionHandler () |
| Public Member Functions inherited from Object | |
| virtual const helpers::Class & | getClass () const |
| virtual | ~Object () |
| virtual bool | instanceof (const Class &clazz) const =0 |
| virtual const void * | cast (const Class &clazz) const =0 |
| Public Member Functions inherited from ObjectImpl | |
| ObjectImpl () | |
| virtual | ~ObjectImpl () |
Additional Inherited Members | |
| Static Public Member Functions inherited from Object | |
| static const helpers::Class & | getStaticClass () |
| static const log4cxx::helpers::ClassRegistration & | registerClass () |
| Protected Attributes inherited from DateLayout | |
| DateFormatPtr | dateFormat |
| Protected Attributes inherited from ObjectImpl | |
| unsigned int volatile | ref |
TTCC layout format consists of time, thread, logger name and nested diagnostic context information, hence the name.
Each of the four fields can be individually enabled or disabled. The time format depends on the DateFormat
used.
Here is an example TTCCLayout output with the RelativeTimeDateFormat.
176 [main] INFO examples.Sort - Populating an array of 2 elements in reverse order. 225 [main] INFO examples.SortAlgo - Entered the sort method. 262 [main] DEBUG examples.SortAlgo.OUTER i=1 - Outer loop. 276 [main] DEBUG examples.SortAlgo.SWAP i=1 j=0 - Swapping intArray[0] = 1 and intArray[1] = 0 290 [main] DEBUG examples.SortAlgo.OUTER i=0 - Outer loop. 304 [main] INFO examples.SortAlgo.DUMP - Dump of interger array: 317 [main] INFO examples.SortAlgo.DUMP - Element [0] = 0 331 [main] INFO examples.SortAlgo.DUMP - Element [1] = 1 343 [main] INFO examples.Sort - The next log statement should be an error message. 346 [main] ERROR examples.SortAlgo.DUMP - Tried to dump an uninitialized array. 467 [main] INFO examples.Sort - Exiting main method.
The first field is the number of milliseconds elapsed since the start of the program. The second field is the thread outputting the log statement. The third field is the level, the fourth field is the logger to which the statement belongs.
The fifth field (just before the '-') is the nested diagnostic context. Note the nested diagnostic context may be empty as in the first two statements. The text after the '-' is the message of the statement.
WARNING Do not use the same TTCCLayout instance from within different appenders. The TTCCLayout is not thread safe when used in his way. However, it is perfectly safe to use a TTCCLayout instance from just one appender.
PatternLayout offers a much more flexible alternative.
| TTCCLayout | ( | ) |
Instantiate a TTCCLayout object with RelativeTimeDateFormat as the date formatter in the local time zone.
| TTCCLayout | ( | const LogString & | dateFormatType | ) |
Instantiate a TTCCLayout object using the local time zone.
The DateFormat used will depend on the dateFormatType
.
This constructor just calls the DateLayout::setDateFormat method.
|
virtual |
In addition to the level of the statement and message, this function writes to the ouput stream time, thread, logger and NDC information.
Time, thread, logger and diagnostic context are printed depending on options.
| output | destination to receive formatted output. |
| event | event to format. |
| pool | pool used to allocate memory needed during formatting. |
Implements Layout.
|
inline |
Returns value of the CategoryPrefixing option.
|
inline |
Returns value of the ContextPrinting option.
|
inline |
Returns value of the ContextPrinting option.
|
inline |
Returns value of the ThreadPrinting option.
|
inlinevirtual |
The TTCCLayout does not handle the throwable contained within LoggingEvents.
Thus, it returns true
.
Implements Layout.
|
inline |
The CategoryPrefixing option specifies whether Logger name is part of log output or not.
This is true by default.
|
inline |
The ContextPrinting option specifies log output will include the nested context information belonging to the current thread.
This is true by default.
|
inline |
The FilePrinting option specifies log output will include the file and the line where the log statement was written.
|
inline |
The ThreadPrinting option specifies whether the name of the current thread is part of log output or not.
This is true by default.


With a new Executive Director in place, we are even more excited about Bike & Build's future and the continued reach and impact of the organization. Our existing strategic plan serves as a firm foundation upon which to build, from our focus on rider safety and support for the affordable housing cause to increased alumni engagement and continuing to tell our inspirational story. We invite you to join us in 2017 and beyond!


MATT BRIGIDA
Associate Professor of Finance (SUNY Polytechnic Institute) & Financial Education Advisor, Milken Institute
APR:
Compounding Periods:
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| Compounding Periods | |
| EAR |
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