3 Kvantifikacija
3.1 Motivation for RNA-Seq quantification
Typical studies:
- DNA-Seq -> alignment -> variant calling -> genome wide association study (GWAS);
- RNA-Seq -> alignment -> quantification -> differential expression analysis
3.2 RNA-Seq quantification
Pod pojmom kvantifikacije, u kontekstu RNA-Seq analize, podrazumevamo procenu relativne zastupljenosti mRNA molekula u uzorku.
Counting versus probabilistic estimation dilemma is (mostly) about doing analysis on gene versus transcript level. - When quantifying on gene level - we simply count the number of reads aligned to each gene. - On transcript level, we need an algorithm such as the Expectation Maximization (EM, pictured below) to deal with the uncertainty.
When performing statistical analysis of RNA expression, doing it on gene level compared to transcript level is more robust and experimentally actionable. The biologists will also usually draw their conclusions on gene level since that’s the level that the biological pathways are annotated on.
However, the use of gene counts for statistical analysis can mask transcript-level dynamics. A popular alternative nowadays is to estimate the transcript abundances and then aggregate to gene level, or perform the entire analysis on trancsript level (testing for differential expression) and then aggregate the results.
3.3 Gene level quantification
We shall, for simplicity’s sake, only perform gene level quantification. Even though it has some drawbacks, it’s a strategy still used by most genomic scientists. Here’s what we have at the beginning of the quantification step and what we want to estimate:
- We have: aligned reads and annotations. A file format called SAM/BAM is now the standard formats for next-generation sequence alignments.
- We estimate: relative abundance.
We’ll start with some simple methods to find if two intervals overlap.
def overlap(x, y):
"""
This function takes two intervals and determines whether
they have any overlapping segments.
"""
new_start = max(x[1], y[1])
new_end = min(x[2], y[2])
if new_start < new_end and x[0] == y[0]:
return True
return False
We will define four intervals as tuples.
## False
## True
We shall now pick a gene of interest and try to find reads mapping to that gene.
# the location of DEFB125 gene in human genome, gencode.v27 annotation
gene = ('chr20', 87249, 97094)
To start exploring reads from a SAM/BAM file, we first need to load the file.
Note the ‘rb’ parameter indicates to read the file as binary, which is the BAM format (BAM stands for Binary Alignment Map). If loading a SAM file, this parameter does not need to be specified.
An important and very common application is to count the number of reads (aligned fragments) that overlap a given feature (i.e. region of the genome or gene). One simple approach to doing this is to make a list of all reads generated and simply iterate over the reads to identify whether a read overlaps a region.
In this case we need an overlap method that can compare a simple interval (defined by a tuple of sequence, start, end) with a pysam AlignedSegment object. This overlap method also needs the AlignmentFile object to decode the chromosome name.
def overlap(x, gene, bamfile):
"""
A modified version of overlap that takes an interval and a pysam
AlignedSegment and tests for overlap
"""
new_start = max(x.reference_start, gene[1])
new_end = min(x.reference_end, gene[2])
if (new_start < new_end and bamfile.getrname(x.tid) == gene[0]):
return True
return False
start_time = time.time()
# code to iterate over reads and count for a single gene
naive_gene_count = 0
for x in bamfile.fetch():
# Note x is of type pysam.AlignedSegment
if(overlap(x, gene, bamfile)):
naive_gene_count += 1
print("--- %s seconds ---" % (time.time() - start_time))
## --- 2.5485103130340576 seconds ---
## 1016
The problem with this approach is that to do this, you will need to store the entire file in memory. Worse than that, in order to find the reads within a single gene, you would need to iterate over the entire file, which can contain hundreds of millions of reads. This is quite slow even for a single gene, but will only increase if you want to look at many genes.
Instead, more efficient datastructures (and indexing schemes) can be used to retrieve reads based on positions in more efficient ways.
To get the reads overlapping a given region, Pysam has a method called fetch(), which takes the genomic coordinates and returns an iterator of all reads overlapping that region.
start_time = time.time()
pysam_gene_count = 0
for x in bam_iter:
pysam_gene_count += 1
print("--- %s seconds ---" % (time.time() - start_time))
## --- 0.021511554718017578 seconds ---
## 1016
Not surprisingly, they are the same - the big difference is that the second method is significantly faster. The reason for this is that Pysam (like Samtools, Picard, and other similar toolkits) make use of clever tricks to index the file by genomic positions to more efficiently search for reads within a given genomic interval.
Now that we know how to count reads overlapping a region, we can write this as a function and try and compute this for all genes.
def read_count(gene, bamfile):
"""
Compute the number of reads contained in a bamfile that overlap
a given interval
"""
bam_iter = bamfile.fetch(gene[0], gene[1], gene[2])
pysam_gene_count = 0
for x in bam_iter:
pysam_gene_count += 1
return pysam_gene_count
You can run this with any gene tuple now:
# the location of ZNFX1 gene in human genome, gencode.v27 annotation
gene2 = ("chr20", 49237945, 49278426)
read_count(gene2, bamfile)
## 5282
Now, let’s compute the gene counts for all genes. We’ll start by reading in all genes:
start_time = time.time()
gene_counts={}
with open('/opt/gencode.v27.chr20.bed', 'r') as f:
for line in f:
tokens = line.split('\t')
gene_local = (tokens[0], int(tokens[1]), int(tokens[2]))
count = read_count(gene_local, bamfile)
gene_counts.update({tokens[3].rstrip() : count})
print("--- %s seconds ---" % (time.time() - start_time))
## --- 2.191601037979126 seconds ---
Now it’s easy to query the gene counts for different genes.
## 7283
## 3836
## 1641
3.4 (Within-sample) Normalization
In previous slides, we’ve seen how we can compute raw counts, i.e. number of reads that align to a particular feature (gene or transcript).
\[X_{i}\]
These numbers are heavily dependent on two things: - The amount of fragments sequenced - The length of the feature, or more appropriately, the effective length. Effective length refers to the number of possible start sites a feature could have generated a fragment of that particular length. In practice, the effective length is usually computed as:
\[\widetilde{l_{i}}=l_{i}-\mu_{FLD}+1\]
Since counts are NOT scaled by the length of the feature, all units in this category are not comparable within a sample without adjusting for the feature length!
3.4.1 Different units
- Reads Per Kilobase per Million reads mapped (RPKM), or for the paired-end reads: FPKM (Fragments instead of Reads).
\[FPKM_{i}=\frac{X_i}{\left ( \frac{\widetilde{l_{i}}}{10^{3}}\left ( \frac{N}{10^{6}} \right ) \right )} = \frac{X_i}{\widetilde{l_{i}}N}\cdot 10^{9}\]
- Transcripts Per Million (TPM)
\[TPM_{i}=\frac{X_i}{\widetilde{l_{i}}}\cdot \left ( \frac{1}{\Sigma_{j}\frac{X_j}{\widetilde{l_{j}}}} \right ) \cdot 10^{6}\]
counts = {'Gene Name': ['A(5kb)', 'B(10kb)', 'C(1kb)', 'D(20kb)'],
'Rep1 Counts': [1000000, 2000000, 1000000, 0],
'Rep2 Counts': [12, 25, 8, 0],
'Rep3 Counts': [30, 60, 15, 1]
}
df = pd.DataFrame(counts, columns= ['Gene Name', 'Rep1 Counts', 'Rep2 Counts', 'Rep3 Counts']).set_index('Gene Name')
df
## Rep1 Counts Rep2 Counts Rep3 Counts
## Gene Name
## A(5kb) 1000000 12 30
## B(10kb) 2000000 25 60
## C(1kb) 1000000 8 15
## D(20kb) 0 0 1
Let’s first calculate the abundances in FPKM units. We first divide by the total number of reads:
## Rep1 Counts Rep2 Counts Rep3 Counts
## Gene Name
## A(5kb) 250000.0 266666.67 283018.87
## B(10kb) 500000.0 555555.56 566037.74
## C(1kb) 250000.0 177777.78 141509.43
## D(20kb) 0.0 0.00 9433.96
Then we normalize for gene length:
# save gene sizes in new column
df_rpkm['kb'] = [5,10,1,20]
# gene size normalization
df_rpkm = df_rpkm.div(df_rpkm.kb, axis=0).round(2)
df_rpkm.drop(['kb'], axis=1)
## Rep1 Counts Rep2 Counts Rep3 Counts
## Gene Name
## A(5kb) 50000.0 53333.33 56603.77
## B(10kb) 50000.0 55555.56 56603.77
## C(1kb) 250000.0 177777.78 141509.43
## D(20kb) 0.0 0.00 471.70
The sums of total normalized counts in each column are not equal as we prove below:
# FPKM normalization sums per samples are not equal (samples are not comparable).
df_rpkm.drop(['kb'], axis=1).sum()
## Rep1 Counts 350000.00
## Rep2 Counts 286666.67
## Rep3 Counts 255188.67
## dtype: float64
Now we will calculate the abundances in TPM units. Here, the first thing we do is normalize for gene length!
df_tpm = df
# save gene sizes in new column
df_tpm['kb'] = [2,4,1,10]
# gene size normalization is performed first
df_tpm = df_tpm.div(df_tpm.kb, axis=0).round(2)
df_tpm.drop(['kb'], axis=1)
## Rep1 Counts Rep2 Counts Rep3 Counts
## Gene Name
## A(5kb) 500000.0 6.00 15.0
## B(10kb) 500000.0 6.25 15.0
## C(1kb) 1000000.0 8.00 15.0
## D(20kb) 0.0 0.00 0.1
And now we perform the library size normalization, using abundances already normalized for gene length:
# library size normalization (division by 10 instead of 10^6)
df_tpm = df_tpm.div(df_tpm.sum()/10).round(3)
df_tpm.drop(['kb'], axis=1)
## Rep1 Counts Rep2 Counts Rep3 Counts
## Gene Name
## A(5kb) 2.5 2.963 3.326
## B(10kb) 2.5 3.086 3.326
## C(1kb) 5.0 3.951 3.326
## D(20kb) 0.0 0.000 0.022
The sums of total normalized counts in each column are now equal (when using TPM)!
# TPM normalization sums per samples are equal (samples are comparable).
df_tpm.drop(['kb'], axis=1).sum()
## Rep1 Counts 10.0
## Rep2 Counts 10.0
## Rep3 Counts 10.0
## dtype: float64
def tpm(genefile, bamfile):
"""
Compute the TPM (transcripts per million) metric for all genes within the genefile using
an RNA-Seq bamfile
"""
total_mapped_reads = 0
# here you want all reads
bam_iter = bamfile.fetch()
for x in bam_iter:
total_mapped_reads += 1
gene_counts = {}
with open(genefile, 'r') as f:
for line in f:
tokens = line.split('\t')
gene_local = (tokens[0], int(tokens[1]), int(tokens[2]))
gene_length = gene_local[2] - gene_local[1]
raw_count = read_count(gene_local, bamfile)
if tokens[3] in gene_counts:
gene_counts[tokens[3]] = (gene_counts[tokens[3]][0] + raw_count, gene_length)
else:
gene_counts.update({tokens[3].rstrip() : (raw_count, gene_length)})
countsDF = pd.DataFrame(gene_counts, index=['raw_count', 'gene_length'])
countsDF = countsDF.T
X=countsDF.iloc[:,0].values
l=countsDF.iloc[:,1].values
countsDF = countsDF.assign(tpm = 1e6 * (X/l) / (X/l).sum())
return(countsDF)
start_time = time.time()
gene_counts = tpm('/opt/gencode.v27.chr20.bed', bamfile)
print("--- %s seconds ---" % (time.time() - start_time))
## --- 3.098256826400757 seconds ---
## raw_count gene_length tpm
## DEFB125 1016 9845 162.980261
## DEFB126 559 3383 260.955726
## DEFB127 419 1694 390.622844
## DEFB128 368 1829 317.754079
## DEFB129 395 2629 237.281309
## DEFB132 3381 3361 1588.669944
## AL034548.1 1218 1672 1150.450762
## C20orf96 1035 19916 82.072045
## ZCCHC3 2748 3354 1293.929728
## NRSN2-AS1 4344 27912 245.785286
def rpkm(genefile, bamfile):
"""
Compute the RPKM (reads per kilobase per million mapped reads) metric for all genes within the genefile using
an RNA-Seq bamfile
"""
total_mapped_reads = 0
# here you want all reads
bam_iter = bamfile.fetch()
for x in bam_iter:
total_mapped_reads += 1
gene_counts = {}
with open(genefile, 'r') as f:
for line in f:
tokens = line.split('\t')
gene_local = (tokens[0], int(tokens[1]), int(tokens[2]))
gene_length=gene_local[2]-gene_local[1]
raw_count = read_count(gene_local, bamfile)
rpk_metric = 1e9 * raw_count \
/ (total_mapped_reads * gene_length)
gene_counts.update({tokens[3].rstrip() : (raw_count, gene_length, rpk_metric)})
countsDF = pd.DataFrame(gene_counts, index=['raw_count', 'gene_length', 'rpkm'])
countsDF = countsDF.T
return(countsDF)
start_time = time.time()
gene_counts_rpkm = rpkm('/opt/gencode.v27.chr20.bed', bamfile)
print("--- %s seconds ---" % (time.time() - start_time))
## --- 3.0692479610443115 seconds ---
## raw_count gene_length rpkm
## DEFB125 1016.0 9845.0 61.832560
## DEFB126 559.0 3383.0 99.003158
## DEFB127 419.0 1694.0 148.197152
## DEFB128 368.0 1829.0 120.551704
## DEFB129 395.0 2629.0 90.021397
## DEFB132 3381.0 3361.0 602.720410
## AL034548.1 1218.0 1672.0 436.465836
## C20orf96 1035.0 19916.0 31.137051
## ZCCHC3 2748.0 3354.0 490.899862
## NRSN2-AS1 4344.0 27912.0 93.247694


Somebody go wake up William Gibson. DoD Instruction 500.87 is about to distribute the future a lot more evenly. Released on October 2nd, 2020, Operation of the Software Acquisition Pathway prescribes a transformative approach for accelerating the delivery of effective, resilient, supportable, and affordable software-driven capabilities throughout the Department of Defense. Following these principles will ensure a decisive and sustainable U.S. advantage in an increasingly complex world.
First, this directive calls for the DoD to harness U.S. technological innovation for executing the national defense strategy. Identify promising teams and technologies today. Foster programs and funding for tomorrow. Second, create a culture of performance where outcomes are emphasized over activity. Don’t just think and talk. Do. Deliver. Digitize. Create a vibrant pipeline for the efficient acquisition, development, and continuous deployment of secure and effective software solutions. This transformation cannot wait.
These concepts are not new. In fact, most are common private sector practices today. However, by bringing these principles into the DoD software acquisition pipeline, the stage is set for closing the gap between the fantastic pace of commercial technology innovation and the legacy software acquisition process in the federal space.
“Policy: Programs will require government and contractor software teams to use modern iterative software development methodologies, modern tools and techniques (DevSecOps), and human-centered design processes to iteratively deliver software to meet the users’ priority needs.”
The art of the possible is defined by the tools at hand. What was impossible only a few years ago is standard today – modern capabilities created by modern tools. The opposite goes without saying – legacy tools produce legacy results. However, we must keep in mind that modern tools only increase what is possible, not what is probable. They expand potential, not prowess.
Modern tools must be wielded with modern techniques to produce modern results. Therefore, it is the software practice, or more accurately the software practitioner, that defines the new upper boundary of system performance and creates the ultimate advantage. In effect, the DoD strategy for achieving modern results is to select modern teams. Choose forward-thinking vendors for new projects rather than traditional vendors with traditional operating practices. Everything is changing. True, the traditional approach got us all the way here, but it won’t get us where we need to go next.
While the instruction sets a pathway for selecting the right humans, it goes on with guidelines for ensuring each acquisition addresses the needs of the humans it is designed to serve. Human-centered design starts with the user “at the glass,” the people dependent on the system for achieving their mission objectives. Architecture decisions and technology choices must serve the goals of each end user and deliver an experience informed by real world operating context. A “technically capable” system that cannot be put to productive use by operators is not a capable system at all. While users don’t have to “fall in love” with the experience (this isn’t the open market after all), the application must actively facilitate their ability to execute their duties both efficiently and effectively under foreseeable circumstances.
“Policy: A rapid, iterative approach to software development reduces costs, technological obsolescence, and acquisition risk. To allocate resources to the most relevant capability needs, DoD or DoD component leadership will make software acquisition and development investment decisions within a framework that addresses tradeoffs between capabilities, affordability, risk tolerance, and other considerations.”
In short, move away from waterfall and toward an agile mindset. Consider. Implement. Learn. Adapt. Repeat. Bring the principles of the OODA Loop to shorten time to value and reduce risk. Observe, orient, decide, act. The future will be controlled not by the biggest force, but by the most consistently relevant. New technology creates new possibilities, but human thoughts and actions are what will extend and maintain our strategic advantage.
“Policy: Engaged engineering teams are instructed to “instrument software such that critical monitoring functions related to health, security, and operational effectiveness of the software can be automated to the maximum extent practicable.”
The fact that this must be written out as explicit policy speaks to the challenges faced by acquisition officers today. Application instrumentation has been a basic ingredient of private sector software for well over a decade, providing a constant stream of data about system performance, data integrity, and user behavior. It goes without saying that monitoring and analytics require automation both for real-time response and learning to enable iterative improvements over time.
“Policy: Software development will be done in active collaboration with end users, representing key user groups, to ensure software deliveries address their priority needs, maximize mission impact, and undergo regular assessment of software performance and risk.”
A thousand times yes. This is why we’re here. This is why we build software. To accelerate mission objectives. To enable superior individual and team performance. So, get to know the user, understand their priorities, and keep a close watch on whether they’re becoming more effective through the system delivered iteratively over time. What’s the point of doing anything else?
“Policy: Leveraging existing enterprise services, if available, is preferred over creating unique software services for individual programs. These may be procured from the DoD, the DoD components, other government agencies, or commercial providers, and leverage category management solutions and enterprise software agreements.”
Just like medical doctors pledge to “do no harm” in their role as professional healers, software development professionals dedicated to their craft commit to “leverage and integrate” over “build and replace.” Agencies and operators need secure, performant, and relevant capabilities. Maximize both budgetary and scheduling resources to deploy new features, faster. Every project should begin with a search for existing giants with shoulders to stand upon. All that matters is whether or not you can see farther and more clearly than your adversary, not how you got up there.
Furthermore, do not speculate about what else users will need in the future. The world is changing too quickly. If users aren’t calling for it today, don’t build it. You Aren’t Gonna Need It. What you will need is an architecture designed for maximize agility. Fix known problems today, quickly pivot to new problems tomorrow. Design for learning. Every bit of functionality provided by existing enterprise services is functionality that you don’t have to worry about. Budgets are limited. Time is limited. Existing services will continue to evolve and improve as well – at a far greater pace than your team could ever keep up with. Force multiply.
“Policy: The chosen software development methodology will incorporate continuous testing and evaluation, resiliency, and cybersecurity, with maximum possible automation, as persistent requirements and include a risk-based lifecycle management approach to address software vulnerabilities, supply chain and development environment risk, and intelligence threats throughout the entire lifecycle.”
To be blunt, go DevSecOps or go home. Real-time scanning for verifying compliance of code and containers must become the norm. Continuous Authority to Operate (cATO) should always be the goal. We won’t always get all the way there (at least not for a while). However, we’re still reducing the time required to go from updating code in the cloud to unleashing new, verified system capabilities – even when that system is air-gapped or embedded inside hardware at the edge. This instruction sets a path for us to iterate and win.
Let’s face it. None of these ideas are new. In fact, you could summarize the product development approach of every successful private sector technology company of the last two decades with the same words now used by the DoD. This directive to “rapidly and iteratively design, develop, integrate, test, deliver, and operate resilient and reliable software capabilities that meet the users’ priority needs” is simply an overdue (though quite welcome) acknowledgement of the mismatch between traditional acquisition strategy and the current acquisition imperative. DoD leaders have observed, oriented, and decided on a new course of action for achieving continuous relevance.
It’s time for us to act.


Growing and shrinking capacity on demand is one of the key cloud computing promises. Delivering on this promise has historically been tedious and complex for the database tier of cloud applications. Over the last few years, the industry has converged on well-established design patterns commonly known as sharding. While the general sharding pattern addresses the challenge, building and managing applications using sharding requires significant infrastructure investments independent of the application’s business logic.
Azure SQL Elastic DB Tools (in preview) enables the data-tier of an application to scale in and out via industry-standard sharding practices, while significantly streamlining the development and management of your sharded cloud applications. Elastic database tools delivers both developer and management functionality which are provided through a set of .Net libraries and Azure service templates that you can host in your own Azure subscription to manage your highly scalable applications. Azure DB Elastic tools implements the infrastructure aspects of sharding and thus allows you to focus on the business logic of your application instead.
In this lab, you will be introduced to the developer experience for Azure SQL Database Elastic tools.
This lab includes the following tasks:
Creating a Microsoft Azure SQL Database Server
Walking through the sample
Appendix - Cleanup
###Creating a Microsoft Azure SQL Database Server
In this task you will create a new Microsoft Azure SQL Database Server and configure the firewall so that connections from applications running on your computer are allowed to access the databases on your SQL Database server.
Sign in to the Azure Portal.
Click New > Data + Storage > SQL Database.
Navigating to the SQL Database Server tab
The SQL Database settings blade that appears is where you'll set up the server and database details.
A SQL database in Azure lives on a database server. A server can host multiple databases. As you set up a database, you can also create and set up the server that will host it, or you can use one that was created earlier. We'll set up a new one.
Type a Name for your database. We'll come back to cover other database settings later.
Under Server click Configure required settings, and then click Create a new server.
In the New server blade, type a Server Name that's unique throughout Azure and easy to remember. You'll need this name later when you connect and work with your database.
Type a Server admin login that's easy to remember. Then type a secure Password and type it again in Confirm password.
Leave Create V12 Server (latest update) set to Yes to use the latest features. The Location determines the data center region where your server is created.
Click OK to go back to SQL Database blade.
In the SQL Database blade, click Select source and then click Blank.
Go back to the SQL Database blade, where Select Source now shows Blank Database. Click Create to kick off creation of the server and database.
You need to set up a firewall rule on the server that allows connections from your client computer's IP address so you can work with the database. This not only helps make sure you can connect, it's a great way to see the area where you can get other details about your SQL servers in Azure
Click Browse all, scroll down and then click SQL servers, and then click the name of the server you created earlier from the list of SQL servers
In the database properties blade that appears to the right, click Settings and then click Firewall from the list
The Firewall settings show your current Client IP address.
Click Add Client IP to have Azure create a rule for that IP address, and then click Save.
Take note of the name of the SQL Database server (e.g.: z754axd2q8), as you will need it in the following task.
You now have a SQL Database server on Azure, a firewall rule that enables access to the server, and an administrator login.
###Walking through the sample
The Elastic Database with Azure SQL Database - Getting Started sample application illustrates the most important aspects of the development experience for sharded applications using Azure SQL Elastic Database Tools. It focuses on key use cases for Shard Map Management, Data Dependent Routing and Multi-Shard Querying.
In this task, you will download and run this sample.
Open Visual Studio and select File -> New -> Project.
Creating a new project
In the New Project dialog box, click Online.
Clicking Online
Then click Visual C# under Samples.
Navigating to online C# samples
In the search box, type Elastic DB to search for the sample. The title Elastic DB Tools for Azure SQL - Getting Started appears.
Select the sample, choose a name and a location for the new project and click OK to create the project.
Creating the sample project
If the Download and Install dialog comes up, click Install.
Clicking Install in the Download and Install dialog
Open the App.config file in the solution for the sample project and replace the MyServerName placeholder with your Azure SQL database server name and the MyUserName and MyPassword placeholders with your login information (user name and password).
Configuring the sample project
Build and run the application. If asked, please allow Visual Studio to restore the NuGet packages of the solution. This will download the latest version of the Elastic Database Tools client libraries from NuGet.
Running the sample
In the application, type 1 and press enter in order to create the shard map manager and add several shards.
Note: The code illustrates how to work with shards, ranges, and mappings in file ShardMapManagerSample.cs. You can find more information about this topic here: Shard Map Management.
The output will look like this:
Creating the shard map manager and adding several shards
Switch to the Azure Portal, navigate to the SQL Server created and click on the SQL DATABASES section.
Notice that you have three new databases: the shard manager and one for each shard.
Switch back to the application, type 3 and then press enter. This will insert a sample row using Data-Dependent routing.
Note: Routing of transactions to the right shard is shown in DataDependentRoutingSample.cs. For more details, see Data Dependent Routing.
Inserting sample row
Repeat the last step at least three more times so that you have at least four rows.
Now, type 4 and press enter in the application to execute a sample Multi-Shard Query.
Notice the \$ShardName column. It should show that the rows with a CustomerId from 0 to 99 are located in theElasticScaleStarterKit_Shard0 shard and those with a CustomerId from 100 to 199 are located in theElasticScaleStarterKit_Shard1 shard.
Note: Querying across shards is illustrated in the file MultiShardQuerySample.cs. For more information, see Multi-Shard Querying.
Executing a Multi-Shard Query
Type 2 and press enter in the application to add another shard. When prompted for the higher key of the new range, press enter to use the default value of 300.
Note: The iterative adition of new empty shards is performed by the code in file AddNewShardsSample.cs. For more information, see Shard Map Management.
Adding a new shard
Switch back to the Azure Portal. You should see a new database for the new shard namedElasticScaleStarterKit_Shard2.
Viewing the new database in the portal
Switch back to the application, type 5 and press enter. This will drop all the shards and the map manager database.
Removing the shards and the map manager
Stop debugging.
You have successfully built and run your first Elastic DB Tools application on Azure SQL DB. You can find information on other Elastic DB Tools operations in the following links:
Splitting an existing shard: The capability to split shards is provided through the Split/Merge service. You can find more information about this service here: Split/Merge Service.
Merging existing shards: Shard merges are also performed using the Split/Merge service. For more information, see Split/Merge Service.
###Appendix - Cleanup
In this task you will learn how to delete the SQL Database Server created in the first task.
Sign in to the Azure Portal.
Find the server created above.
Select it and then click DELETE from the options.
In the confirmation dialog that appears, type the server name and the click the Delete.
The server will be deleted. Once it is done you should see a notification in the bottom bar.
###Summary
By completing this lab, you have learned the basic concepts of Azure SQL Database Elastic DB Tools: Shard Map Management, Data Dependent Routing and Multi-Shard Querying.


Teams
Show all players on THE BAT
Name
Lineup
Salary
Value
Hitters
Go to teams
Show all players on THE BAT
Team
Name
Pos
Order
Salary
Value


For each number list of 6-digit SEDOLs, calculate and append the checksum digit.
That is, given the input string on the left, your function should return the corresponding string on the right:
710889 => 7108899 B0YBKJ => B0YBKJ7 406566 => 4065663 B0YBLH => B0YBLH2 228276 => 2282765 B0YBKL => B0YBKL9 557910 => 5579107 B0YBKR => B0YBKR5 585284 => 5852842 B0YBKT => B0YBKT7 B00030 => B000300
Check also that each input is correctly formed, especially
with respect to valid characters allowed in a SEDOL string. Your function
should return null
on invalid input.


--- layout: post title: ! 'Rails 2.3: Templates, Engines, Rack, Metal, much more!' categories: - releases author: David published: true date: 2009-03-16 14:39:00.000000000 +00:00 ---
Rails 2.3 is finally done and out the door. This is one of the most substantial upgrades to Rails in a very long time. A brief rundown of the top hitters:
And that’s just the tip of the iceberg. We’ve put together a complete guide for the Rails 2.3 release notes with much more information. Be sure to checkout the section on what was deprecated when you’re ready to upgrade your application.
You install 2.3 with (the final version is marked 2.3.2):
gem install rails
If you’re running on Passenger, be sure to upgrade to 2.1.2 as well. Rails 2.3 doesn’t run on older versions of Passenger!
We hope you’ll love it.


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@(params: Map[String, Any]) @uk.gov.hmrc.hmrcemailrenderer.templates.helpers.html.template_main(params, "What happens next") {
Thank you for applying to become an approved Lifetime ISA manager. Your application will be reviewed by HMRC.
Your application reference is @{params("application_reference").toString}.
The review process can take up to 14 calendar days. We will send another email to @{params("email").toString} when the decision has been made.
From HMRC Savings Audit Team
}


 The creature must make a Dexterity saving throw. It takes 2d10 fire damage on a failed save, or half as much damage on a successful one.
At Higher Levels. When you cast this spell using a spell slot of 2nd level or higher, the damage increases by 1dlO for each slot level above 1st.


Table of Contents
Simple Shared Memory Example Instructions
The Simple Shared Memory example included with the Shared Memory Library is designed to demonstrate a basic use case for shared memory in Linux. This example instantiates a portion of memory that both LabVIEW applications and C/C++ applications can use to share data with one another. In this example, a Boolean, double-precision float, and a signed long integer (I32) are each mapped in this shared space. Once mapped, changes to the variables in one application are reflected in the other.
There are two ways to run this example: LabVIEW only, and LabVIEW with C/C++. The LabVIEW only method simply demonstrates that values written to shared memory from LabVIEW can be read back, a simple loopback. The LabVIEW with C/C++ does the same, but it also includes a C executable that can be run on a Linux RT CompactRIO in parallel to demonstrate that other applications can see the same data as LabVIEW in real-time.
1. In the Simple Shared Memory project, enter the IP address of your Linux RT CompactRIO target. Any Linux RT target can be used with this example. After entering the address, right-click and Connect to the target.
2. Once connected, open the Simple Shared Memory.vi and press Run.
3. Toggle the Boolean, Double, and Integer controls to see the corresponding indicators update to match.
4. Press the Stop button when finished.
1. Connect to your CompactRIO in the same manner as the LabVIEW only steps above.
2. Before pressing Run on the VI, we need to get the C executable ready to run as well. First, the correct executable needs to be place on the CompactRIO. Use a program, such as WinSCP, to move the executable onto the CompactRIO.
3. To transfer the executable to your CompactRIO, first log in to your target via WinSCP.
a. The Host name should be your CompactRIOís IP address.
b. The default user name is admin.
c. The default password is <blank> unless you gave the CompactRIO a password in NI MAX. If so, use that password.
4. After logging in, youíll be presented with a window on the left (local files) and a window on the right (CompactRIO files).
a. In the left window, navigate to the directory for the Simple Shared Memory example and then open the C Executables folder.
i. If you arenít sure where the Simple Shared Memory project is located, you can open the File > Save AsÖ dialog to show where the project is located.
b. In the right window, navigate to a location on the CompactRIO where you would like to copy the executable to. A good default is the /home/admin directory.
5. With the correct folders open, copy the executable that corresponds to the executable type that matches your CompactRIO.
a. For cRIO-906x, copy the SimpleSharedMemory_ARM executable.
b. For cRIO-903x, copy the SimpleSharedMemory_x64 executable.
6. After copying the executable, we need to make sure that it can actually be executed.
a. In the right window, right-click the executable file and select Properties.
b. In the Properties window that appears, make sure the X is checked for the Owner, Group, and Others under the Permissions section.
c. Press OK.
7. Close WinSCP as it is no longer needed. At this point, itís time to run the C executable. For this, a standard terminal application, such as PuTTY, can be used to run and view the output of the C executable.
a. Open PuTTY and enter the IP address of the CompactRIO. Press Open.
b. Log in as admin, and use the same password as before.
8. Once logged in to PuTTY, navigate to the directory where you copied the executable in WinSCP. Use the command cd <path>. For example: cd /home/admin
9. Confirm that the executable in located here by typing the command ls -l to list the contents of the current directory. You should see an output similar to the following:
-rwxr-xr-x††† 1 admin†††
administ††††
90472 Jan 17†
2017 SimpleSharedMemory_ARM
10. Run the C executable by typing ./SimpleSharedMemory_ARM (for cRIO-906x) or ./SimpleSharedMemory_ARM (for cRIO-903x).
11. If everything is correct, you should see an output similar to the following:
12. At this point, you need to run the Simple Shared Memory VI in LabVIEW. Donít worry if the C executable times out before you run the LabVIEW VI. Just run the executable again.
13. Upon running the LabVIEW VI, you should then see an output which includes the current value for the Boolean, Double, and Integer. Changing the values in LabVIEW updates the values in the C executable.
†††††††††† ††††††††††
14. Stop both applications by pressing the Stop button in the LabVIEW VI.


  She goes on into her father's country. In another part of the account (also told to !nanni by Karu) |xue also becomes !naxane, an owl, a fly, a bee, a hyena and, finally, an ant. As a bee he bites and kills his father. |xue performs a doctoring ceremony and his father rises up and chases |xue. |xue and his father fight.
Comments
1) p.9391v: !nanni heard this story from his paternal grandfather (Karu); see |xue and the ostriches, 2) p.9401v: (17 March 1880) the name for |uma and Da's father (||ko |kue); |uma and Da's country is called ||noma; see The doings of |xue are many, 3) p.9402v: the name of a poison (!kara) and the name of the tree whose leaves are boiled to make a poison in combination with another ingredient, 4) This story is found in Book XI & XII-5
Contributors
Date
17 March 1880 (started)
Categories
Transformation, Healing and ailing
Keywords
|xue (more about |xue) , |xue (is slapped and beaten by his father) , |xue (his father's people seek for him) , |xue (is placed inside his wife's kaross) , |xue (bites and 'kills' his father) , |xue (his works are numerous, and are not one, but many) , |xue (performs a doctoring ceremony and restores his father) , |xue (his grass hut) , |xue (dies and returns to life in a different form) , |xue (and his wife) , |xue (and his father) , |xue (tries to escape his wife) , |xue (chases his wife as a buffalo) , |xue (becomes different things on different days) , |xue (resembles many things) , |xue (his doings) , |xue (his works) , |xue (cries) , |xue (his transformations) , |xue (changes at sunrise and sunset) , |xue (becomes !naxane, an ant, a buffalo, water, a ≠in-a or snake, a tsan, a ||xuonna, a bird, a large owl, a butterfly, a bee and a !gau) , |xue (returns to his own form at night) , transformation (more about |xue) , transformation (|xue becomes !naxane, an ant, a buffalo, water, a ≠in-a or snake, a tsan, a ||xuonna, a bird, a large owl, a butterfly, a bee, a !gau) , transformation (and death) , transformation (of |xue) , transformation (|xue changes form at sunrise and sunset) , transformation (|xue becomes different things every day) , transformation (|xue dies and returns in a different form) , death (more about |xue) , death (|xue dies and returns in a different form) , death (and resurrection) , death (|xue kills his father) , death (of |xue) , death (and transformation) , plants (!naxane) , plants (that |xue becomes) , plants (!kun names of) , plants (more about |xue) , healing (|xue performs a doctoring ceremony for his father who he 'killed') , healing (more about |xue) , doctoring ceremony (performed by |xue for his father) , doctoring ceremony (|xue kills his father and performs one) , doctoring ceremony (more about |xue) , names (of plants and animals that |xue becomes) , names (more about |xue) , wife (|xue's) , wife (more about |xue) , father (|xue's) , father (|xue kills his) , father (more about |xue) , father (|xue performs a doctoring ceremony to revive his) , animals (!kun names of, that |xue becomes) , animals (more about |xue) , kaross (|xue's wife's) , kaross (more about |xue)
Story Pages
9395-9403


| Top |
GConverter is implemented by GCharsetConverter, GZlibCompressor and GZlibDecompressor.
GConverter is implemented by objects that convert binary data in various ways. The conversion can be stateful and may fail at any place.
Some example conversions are: character set conversion, compression, decompression and regular expression replace.
GConverterResult g_converter_convert (GConverter *converter
,const void *inbuf
,gsize inbuf_size
,void *outbuf
,gsize outbuf_size
,GConverterFlags flags
,gsize *bytes_read
,gsize *bytes_written
,GError **error
);
This is the main operation used when converting data. It is to be called
multiple times in a loop, and each time it will do some work, i.e.
producing some output (in outbuf
) or consuming some input (from inbuf
) or
both. If its not possible to do any work an error is returned.
Note that a single call may not consume all input (or any input at all). Also a call may produce output even if given no input, due to state stored in the converter producing output.
If any data was either produced or consumed, and then an error happens, then only the successful conversion is reported and the error is returned on the next call.
A full conversion loop involves calling this method repeatedly, each time
giving it new input and space output space. When there is no more input
data after the data in inbuf
, the flag G_CONVERTER_INPUT_AT_END
must be set.
The loop will be (unless some error happens) returning G_CONVERTER_CONVERTED
each time until all data is consumed and all output is produced, then
G_CONVERTER_FINISHED
is returned instead. Note, that G_CONVERTER_FINISHED
may be returned even if G_CONVERTER_INPUT_AT_END
is not set, for instance
in a decompression converter where the end of data is detectable from the
data (and there might even be other data after the end of the compressed data).
When some data has successfully been converted bytes_read
and is set to
the number of bytes read from inbuf
, and bytes_written
is set to indicate
how many bytes was written to outbuf
. If there are more data to output
or consume (i.e. unless the G_CONVERTER_INPUT_AT_END
is specified) then
G_CONVERTER_CONVERTED
is returned, and if no more data is to be output
then G_CONVERTER_FINISHED
is returned.
On error G_CONVERTER_ERROR
is returned and error
is set accordingly.
Some errors need special handling:
G_IO_ERROR_NO_SPACE
is returned if there is not enough space
to write the resulting converted data, the application should
call the function again with a larger outbuf
to continue.
G_IO_ERROR_PARTIAL_INPUT
is returned if there is not enough
input to fully determine what the conversion should produce,
and the G_CONVERTER_INPUT_AT_END
flag is not set. This happens for
example with an incomplete multibyte sequence when converting text,
or when a regexp matches up to the end of the input (and may match
further input). It may also happen when inbuf_size
is zero and
there is no more data to produce.
When this happens the application should read more input and then
call the function again. If further input shows that there is no
more data call the function again with the same data but with
the G_CONVERTER_INPUT_AT_END
flag set. This may cause the conversion
to finish as e.g. in the regexp match case (or, to fail again with
G_IO_ERROR_PARTIAL_INPUT
in e.g. a charset conversion where the
input is actually partial).
After g_converter_convert()
has returned G_CONVERTER_FINISHED
the
converter object is in an invalid state where its not allowed
to call g_converter_convert()
anymore. At this time you can only
free the object or call g_converter_reset()
to reset it to the
initial state.
If the flag G_CONVERTER_FLUSH
is set then conversion is modified
to try to write out all internal state to the output. The application
has to call the function multiple times with the flag set, and when
the available input has been consumed and all internal state has
been produced then G_CONVERTER_FLUSHED
(or G_CONVERTER_FINISHED
if
really at the end) is returned instead of G_CONVERTER_CONVERTED
.
This is somewhat similar to what happens at the end of the input stream,
but done in the middle of the data.
This has different meanings for different conversions. For instance in a compression converter it would mean that we flush all the compression state into output such that if you uncompress the compressed data you get back all the input data. Doing this may make the final file larger due to padding though. Another example is a regexp conversion, where if you at the end of the flushed data have a match, but there is also a potential longer match. In the non-flushed case we would ask for more input, but when flushing we treat this as the end of input and do the match.
Flushing is not always possible (like if a charset converter flushes
at a partial multibyte sequence). Converters are supposed to try
to produce as much output as possible and then return an error
(typically G_IO_ERROR_PARTIAL_INPUT
).
converter |
a GConverter. |
|
inbuf |
the buffer containing the data to convert. |
[array length=inbuf_size][element-type guint8] |
inbuf_size |
the number of bytes in |
|
outbuf |
a buffer to write converted data in. |
|
outbuf_size |
the number of bytes in |
|
flags |
a GConverterFlags controlling the conversion details |
|
bytes_read |
will be set to the number of bytes read from |
[out] |
bytes_written |
will be set to the number of bytes written to |
[out] |
error |
location to store the error occurring, or |
Since 2.24
void
g_converter_reset (GConverter *converter
);
Resets all internal state in the converter, making it behave as if it was just created. If the converter has any internal state that would produce output then that output is lost.
Since 2.24
struct GConverterIface { GTypeInterface g_iface; /* Virtual Table */ GConverterResult (* convert) (GConverter *converter, const void *inbuf, gsize inbuf_size, void *outbuf, gsize outbuf_size, GConverterFlags flags, gsize *bytes_read, gsize *bytes_written, GError **error); void (* reset) (GConverter *converter); };
Provides an interface for converting data from one type to another type. The conversion can be stateful and may fail at any place.
GTypeInterface |
The parent interface. |
|
Converts data. |
||
Reverts the internal state of the converter to its initial state. |
Since 2.24


News and Announcements
Sunday 10th April 2023What we're gonna do right here is go back!
Back to the E Werk for Revision 2023 and another ASCII by FuZioN.
Sunday 5th March 2023
SPAG 2 - "Electric Boogaloo!"
Textual ASCII and ANSI invitations to the second Stamford Peterborough Amiga Group meeting: SPAG 2 - "Electric Boogaloo!"
Saturday 24th December 2022
Jus' demosplashin'
An aquatic ANSI by FuZioN released at the Demosplash party in Pittsburgh, USA.
Sunday 30th October 2022
An ANSI for Europe and an ASCII for South America
FuZioN has been textmode globetrottin' again!
He did a complete GeoMetric VecTor OverLoaD in Germany at Evoke. Then roundhouse-kicked, Da Kung Fu Afro Twins straight into Argentina for Flashparty.
Gets around a bit eh!
Sunday 25th September 2022
A nocturnal South Devon ANSI joint at NOVA 2022
It was dark. It was late. (Very late! Took over a month for me to get this on the site!)
Here is FuZioN's Midnight in Budleigh ANSI entry for the NOVA 2022 party held in August 2022.
Friday 19th August 2022
Getting ANSI at Edison 2022
Not Axl Rose, just ANSI prose! Another ANSI colly by FuZioN for the Edison 2022 data jungle party.
Saturday 16th April 2022
Fresh ANSIs at Revision 2022
Witness a new ANSI colly produced by FuZioN for Revision 2022.
Saturday 29th January 2022
The dual colly site backlog update
A long overdue site update. Added FuZioN's nkx_txt_art_4ever.txt ASCII at Flash Party 2021 and nkx_dline_reunited.ans ANSI at Deadline 2021.
Sunday 4th April 2021
TOGETHER (online) at Revision 2021
Revision 2021. It was that demoparty which got banned from Twitch halfway through the 64KB intro competition!
This time FuZioN mixed up both ANSI and Amiga ASCII styles for his release.
Wednesday 30th December 2020
That weird time between Christmas and New Year!
You know the time.. Christmas has just happened, the New Year is a few days away and you have no clue what the actual day of the week is!
It's also a great time to get the neokortex site updated with our latest releases: the fORNDATA x-MAS ASCII and the NKXmastro 2o2o (our first intro!) which were slung out in quick succession just before Christmas.
Saturday 15th August 2020
Rain at Novoque
Another party.. Another ANSI. FuZioN created b1nary_ra1n. Any references to "The Matrix" are purely coincidental!
Wednesday 15th July 2020
Double trouble at Solskogen 2020
We released a couple of entries at the final Solskogen party. FuZioN created a farewell ANSI and Obvious Disaster went experimental in the logo competition by creating a real-time animated Solskogen logo. It's not a static image but it's not quite a demo. I'm calling it a gfxtro for now!
Sunday 21st June 2020
FuZioN dials into NOVA 20 with an old skool Amiga BBS themed ANSI entry
BBS's eh! They were like the web but slower, and the graphics were blocky.. Hark back to that era with a look at FuZioN's tribute ANSI which won third place in the compo at Nova 2020.
Saturday 2nd May 2020
FuZioN releases ASCII at Revision Online 2020
COVID-19 couldn't stop Revision.. It just moved online! It also provided the opportunity for FuZioN to enter the ASCII competition with a remote entry.. Which he did!
The original version of this ASCII was over 1200 lines in length. Unfortunately, it needed to be trimmed down to 1000 lines to comply with the rules of the competition.
Sunday 15th March 2020
Minor update: Added a font switcher.
When viewing ASCII and ANSI releases on the site you can now change the display font. Available fonts are shown in the Textviewer Font Changer section of the left-hand navigation menu when you are viewing an ASCII or ANSI.
Saturday 26th October 2019
FuZioN goes ANSI at Deadline 2019
Which is great! ..But we didn't know how to make it work "nicely" on the site here. Thankfully, with a bit of head scratching and a lot of help from AnsiLoveJS I think we've solved it!
Thursday 22nd August 2019
FuZioN releases his third ASCII at Evoke 2019
The only member of neokortex who releases anything (..so far) has released his third ASCII.
Sunday 14th July 2019
31 seconds and we're gone for auto-sequence start
The new neokortex.co.uk has been launched! Welcome to the initial version of our new site.
Saturday 6th July 2019
FuZioN wins the ASCII Votesheet for Versus #9 competition at the Edison 2019 demoparty
We're really proud to announce that FuZioN has entered an ASCII Votesheet competition.. and won it!
The competition was to design an ASCII votesheet for issue nine of the Amiga (and Android) diskmag Versus produced by Nukleus and Void. Our entry (nkx-versus9-votesheet.txt) was remotely submitted to the competition at the Edison 2019 demoparty held in Stockholm, Sweden. (We should have been there!)
Saturday 22nd June 2019
FuZioN releases an ASCII at the NOVA 19 demoparty
In an unprovoked burst of activity, FuZioN puts the rest of us to shame by actually creating a production and releasing it at a demoparty.
Our initial "born-ascii-tro" (!) N0VA_19.txt was released at the NOVA 19 party hosted in Budleigh Salterton, Devon on the south cost of England.


Challenges1:Your Age in Days
Click me
Reset
Challenges2 : Cat Generator
Generate Cat
Challenges3 : Rock Paper Scissor
Play Again
Challenges4 : Change Button Color
Random
Red
Green
Reset
Wee!
Fire!
Winner!
Life!
Challenges5 : Play BlackJack
Let's Play
You:
0
Dealer:
0
Hit
Stand
Deal
Wins
Losses
Draws
0
0
0


Hannah Brown Is “Proud” of Demi Burnett’s Honesty Following Her Kristian Haggerty Breakup
- Hannah Brown has nothing but support for Demi Burnett following her split from Kristian Haggerty.
- Hannah is proud that Demi has been able to be so honest about her breakup and says she will always support her.
In the wake of Demi Burnett and Kristian Haggerty’s breakup, Hannah Brown—who happens to be BFFs with Demi—is publicly letting it be known that she will absolutely be supporting her bestie during this emotional time. Honestly, Hannah sounds like such a great friend.
After her performance on Dancing With the Stars last night, People caught up with Hannah to see how she feels about Demi’s breakup with Kristian. Hannah, like the truest of blues, explained that she’s always going to have Demi’s back in times both good and bad.
Related Stories
Oh No: Demi Burnett and Kristian Haggerty Broke Up
Demi Burnett’s Instagram Comments Are a Mess Rn
“We’ve both been through a lot—I think it’s just knowing that we’re going to be there. Whether we agree or disagree, we are always going to have each other’s back through anything,” Hannah said. Hannah also added that she is “so proud” of Demi for “being honest and making choices that are right for her at this time. I can’t wait to see what’s next for her.”
Demi announced the breakup on her Instagram last week and wrote that she and Kristian “want what is best for us in the long run and for us right now, that means being apart and growing individually.” According to an E! News source, distance was allegedly the reason why Demi and Kristian broke up in the first place.
“They were supposed to permanently move in together in L.A., and that never happened,” the source said. “They really haven’t spent much time together in the same place since getting back from Paradise, and it made them rethink the whole situation. They grew apart, and once they came down from the post-vacation high, they realized they were rushing their relationship.”
Since Demi and Kristian broke up, Demi has been trying to live her best life. She attended last night’s episode of Dancing With the Stars to support Hannah (like she has been every single week) and posted a cheeky pic of her Halloween costume. Kristian, on the other hand, has remained pretty silent.
Related Stories
Demi Burnett’s Instagram Comments Are a Mess Rn
‘BiP’ Reveals Demi Is Bisexual, Twitter Explodes
Starr Bowenbank Editorial Assistant Starr Bowenbank is the editorial assistant who writes about all things pertaining to news, pop culture, and entertainment—you can follow her here.


Projects
This section lists the projects I have been involved with.
Research
The research projects I have been a part of relate to the security of the Internet of
Vehicles (IoV), which is a network of autonomous vehicles that communicate with one another.
A
Data-Centric Approach to Taming the Message Dissemination in the Internet of
Vehicles discusses how to optimize communication between vehicles while
taking into consideration the overhead from security mechanisms.
Optimizing
Connectivity for the Internet of Vehicles builds on the previous paper with
a shift in focus towards optimizing power consumption.
A
Network-Centric Analysis for the Internet of Vehicles and Simulation Tools
is a comprehensive survey of the trends, tools, and approaches present in the body of
research for the IoV.
Feature
Selection for Deep Neural Networks in Cyber Security Applications examines
the effects of pre-processing when training a neural network-based intrusion detection
system.
To read more, click any of the paper titles buttons above!
Web Applications
FeedbackLoop is an application that aims to facilitate greater communication between students and instructors. Instructors receive constructive feedback on how their teaching activities can be more effective for their students, which maximizes the teaching/learning experience for both parties. The web application also features guided tutorials and support through direct messaging to create a user-friendly interface. To learn more, click either the photo or the button on the right to navigate to the project's GitHub.


This website, first and foremost is a demonstration and experiement in using AngularJS to build a web application.
Essentially the App is a small but growing list of yoga poses. Each pose has its own page, and on each pose page, shows various web resources related to the pose. Building this small application gave me an opportunity to experiement with Views, Routes, and Services.
I am a student of Iyengar Yoga and web development. While considering how I could advance my knowledge and experience in both of these subjects, I decided to combine these two passions into a single effort by building myself an AngularJS application about yoga.
See Also:
About Iyengar Yoga
Project's Documentation
View Project on GitHub
If you are curious in my technical abilities as a Front-End Developer in Portland, Oregon, check out the documentation and source code.


Image Viewer Demo
View On Github
Image Caption 1
Image Caption 2
Image Caption 3
Image Caption 4
Awesome
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| Date | Title | Company | Type | Contact |
|---|---|---|---|---|
| {{ job.when_created }} |
{{ job.title }}
{{ job.description }}
|
{{ job.company }} | {{ job.job_type }} | {{ job.contact_name }} ({{ job.contact_email }}, {{ job.contact_phone }}) |


27
1 Job replied to his three friends by saying this:
2 "Almighty God has refused to treat me justly.
He has caused me to feel bitter.
But just as surely as he lives,
3 as long as God's Spirit enables me to breathe,
4 I will not lie;
I will not say anything to deceive anyone.
5 I will never admit that what you three have said is true;
until the day that I die, I will insist that I have not done things that are wrong.
6 I will say that I am innocent, and I will never say anything different;
my inner being will never reproach me as long as I live.
7 I want God to punish my enemies like he will punish all wicked people;
I want him to punish those who oppose me like he punishes all unrighteous people.
8 When it is time for God to get rid of godless people and to cause them to die,
there is absolutely nothing good that they can confidently expect to happen to them.
9 When they experience troubles, God will not hear them call out to him for help, will he?
10 Will they be happy about what Almighty God does?
Will they begin to pray to him frequently?
Certainly not!
11 I will teach you three something about God's power;
I will reveal to you what he is thinking.
12 You three have seen for yourselves powerful things that God has done;
so I do not understand why you have been saying such nonsense to me.
13 I will tell you what Almighty God does to wicked people,
what he does to people who mistreat others.
14 Even if they have many children, those children will die in wars,
or they will die because they do not have enough food to eat.
15 Their children who are still alive after they themselves die will perish from diseases,
and the wives they leave behind will not even mourn for them.
16 Sometimes wicked people accumulate a huge amount of silver
and pile up clothes as potters pile up clay,
17 but those wicked people will die, and then righteous people will wear those clothes,
and honest people will get their silver and divide it among themselves.
18 The houses that they build are as weak as spider webs;
they are like flimsy huts that watchmen live in while they guard people's fields.
19 The wicked people are rich when they lie down at night,
but when they wake up in the morning, they find out that their money has disappeared.
20 Things that terrify them come to them like a flood that they do not expect;
during the night a whirlwind carries them away.
21 It is as though the wind from the east had picked them up and carried them away from their homes,
and they disappear forever.
22 That wind strikes them without pitying them
while they are running away, trying to escape from its force.
23 That wind is like someone clapping his hands at them to mock them,
howling at them and forcing them to run away."


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From 1 January through 30 April 2019, the Ministry of Health in Tunisia responded to a large measles outbreak in the country. A total of 3 141 suspected cases, of which 909 (28.9%) were laboratory confirmed and 1 236 (39.4 %) epidemiologically linked cases including 30 deaths (case fatality ratio=1.0 %), have been reported in all of the 24 governorates (range 1 – 1 274). The majority of cases were reported from Kasserine (1 274 cases) and Sfax (212 cases) governorates. In April 2019, four additional governorates were particularly affected with 155, 116, 93 and 69 cases reported from Kairouan, Tunis, Sousse and Nabeul respectively.
The two most affected age groups were those older than 15 years (31%) and infants between the age of 6 and 12 months (28%). The male: female ratio was 1.2. Eighty four percent of affected children between 1 and 5 years were not vaccinated. Death was reported in 30 cases ranging in age from 15 days to 41 years of age (median, 7.5 months).
To date, the number of reported measles cases is above the average annual number (12 cases) registered in the past 10 years in the country, with the highest number (48 cases) reported in 2012.
In 2013, Tunisia changed its immunization strategy and introduced the first dose of measles-containing-vaccine at the age of 12 months instead of 9 months (Fig. 1).
The Ministry of Health (MoH) in Tunisia is coordinating the response activities, with the support of WHO and other partners. Public health response measures include:
Despite the increase in number of measles cases in 2019, the risk at the national level is still moderate due to the immediate government response (vaccination of all 6 to 11 months old infants, nationwide). In addition, the country has had high levels of measles-containing-vaccine second dose (MCV2) immunization coverage (>95%) since 2012, which should help protect many birth cohorts from disease.
A total of seven Tunisian governorates have a border with Algeria. Despite the absence of official number for people crossing the border, it is known that many families move freely between the two countries, which induces a moderate risk at regional level, whereas the risk at global level remains low.
Measles is a highly contagious viral disease which affects susceptible individuals of all ages and remains one of the leading causes of death among young children globally, despite the availability of safe and effective measles-containing vaccines. It is transmitted via droplets from the nose, mouth, or throat of infected persons. Initial symptoms, which usually appear 10–12 days after infection, include high fever, usually accompanied by one or several of the following: runny nose, conjunctivitis, cough and tiny white spots on the inside of the mouth. Several days later, a rash develops, starting on the face and upper neck and gradually spreads downwards. A patient is infectious 4 days before the start of the rash to 4 days after the appearance of the rash. Most people recover within 2–3 weeks.
While there is no specific antiviral treatment for measles, the provision of vitamin A is recommended by WHO for all children infected with measles, as it is associated with reduced mortality and severity of complications. In populations with high levels of malnutrition and a lack of adequate health care, up to 10% of measles cases result in death and in most vulnerable groups deaths can reach up to 30%. Among malnourished children and people with greater susceptibility, measles can also cause serious complications, including blindness, encephalitis, severe diarrhea, ear infection, and pneumonia.
In countries with low vaccination coverage, epidemics typically occur every two to three years and usually last between two and three months, although their duration varies according to population size, crowding, and the population’s immunity status.
Immunization is the only effective preventive measure against measles. Two doses of measles-rubella (MR) are recommended to ensure immunity.
WHO does not recommend any restriction on travel to, and trade with Tunisia based on the available information from the current outbreak.


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 The ‘file_handle’ returned from this function can be used with the TMReadFile and TMWriteAddFile API calls. The filename to open is specified in 'fentry' which is in the structure FileEntry. Only the 'name' and 'extension' portions of FileEntry need to be set before calling TMOpenFile. The file must be in the current directory on the current device on the 1-Wire network specified by the session handle 'session_handle'.
For a description of the above types, see the TMEX Type Descriptions.
Parameters
session_handle
Specifies the session handle returned from the API function TMExtendedStartSession that specifies the desired 1-Wire network port. This parameter is required by most TMEX API functions.
state_buffer
Specifies a pointer to a memory location that TMEX keeps all of the state information for the 1-Wire networks. This parameter is required by most TMEX API functions.
fentry
Specifies a pointer to a memory location that contains a FileEntry structure. This structure must have the name and extension portions set before calling this API.
Return Value
>= 0 => file found, and this is the file handle
<0 => TMEX File Operations Error Return Code
See Also
TMFirstFile, TMNextFile, TMReadFile


chinook
Pat has come up with a business idea by combining two signature Seattle icons: Pat has developed a recipe for a coffee-time confection called Salmon Cookies.
- Seattle
- Tokyo
- Dubai
- Paris
- Lima
Pat has come up with a business idea by combining two signature Seattle icons: Pat has developed a recipe for a coffee-time confection called Salmon Cookies.


CHVT(1) CHVT(1) NAME chvt - change foreground virtual terminal SYNOPSIS chvt N DESCRIPTION The command chvt N makes /dev/ttyN the foreground terminal. (The corre‐ sponding screen is created if it did not exist yet. To get rid of unused VTs, use deallocvt(1).) The key combination (Ctrl-)LeftAlt-FN (with N in the range 1-12) usually has a similar effect. 26 January 1997 CHVT(1)


This small fishing harbour is the only harbour on Langeland's east coast.
Position 54° 56''N, 10° 50''E
The yacht harbour is just south of the ferry port and is protected by a double breakwater.
Anchorage: It is possible to anchor outside the harbour.
Spodsbjerg is just a small village but LPG and some provisions are available and there is also a restaurant.
Last updated April 2016.


Supported operating systems:
Windows 8 RP Build 8400 x86/x64, ARM is not supported now.
Visual Studio:
Visual Studio 2012 RC
If you have downloaded cocos2dx-win8 from the Web, either as a distribution .zip file, or as a Git archive, unpack it. The result should be a set of files like this:
In order to easily to create cocos2dx-win8 project in Visual Studio, we need to install the Visual Studio template.


#include <old_sm.h>
Data Fields | |
| SM_Mdes * | sm_mdes |
| L_Cb * | cb |
| OLD_SM_Func * | sm_func |
| OLD_SM_Oper * | first_sm_op |
| OLD_SM_Oper * | last_sm_op |
| OLD_SM_Cb * | next_sm_cb |
| OLD_SM_Cb * | prev_sm_cb |
| unsigned int * | map_array |
| int | map_array_size |
| int | map_start_offset |
| int | map_end_offset |
| int | min_init_offset |
| int | max_init_offset |
Definition at line 103 of file old_sm.h.
| L_Cb* OLD_SM_Cb::cb |
| unsigned int* OLD_SM_Cb::map_array |
Definition at line 113 of file old_sm.h.
Referenced by OLD_SM_check_map(), OLD_SM_create_map(), OLD_SM_delete_cb(), OLD_SM_expand_map_end_offset(), OLD_SM_expand_map_start_offset(), OLD_SM_init_for_max_usage(), OLD_SM_init_for_min_usage(), OLD_SM_new_cb(), OLD_SM_print_map(), and OLD_SM_sched_table().
Definition at line 114 of file old_sm.h.
Referenced by OLD_SM_create_map(), OLD_SM_expand_map_end_offset(), and OLD_SM_expand_map_start_offset().
Definition at line 116 of file old_sm.h.
Referenced by OLD_SM_create_map(), OLD_SM_expand_map_end_offset(), OLD_SM_expand_map_start_offset(), and OLD_SM_init_for_max_usage().
Definition at line 115 of file old_sm.h.
Referenced by OLD_SM_check_map(), OLD_SM_create_map(), OLD_SM_expand_map_end_offset(), OLD_SM_expand_map_start_offset(), OLD_SM_init_for_max_usage(), OLD_SM_init_for_min_usage(), and OLD_SM_print_map().
Definition at line 118 of file old_sm.h.
Referenced by OLD_SM_check_map(), OLD_SM_create_map(), OLD_SM_expand_map_end_offset(), OLD_SM_expand_map_start_offset(), OLD_SM_init_for_max_usage(), and OLD_SM_print_map().
Definition at line 117 of file old_sm.h.
Referenced by OLD_SM_check_map(), OLD_SM_create_map(), OLD_SM_expand_map_end_offset(), OLD_SM_expand_map_start_offset(), OLD_SM_init_for_min_usage(), and OLD_SM_print_map().
| struct OLD_SM_Cb* OLD_SM_Cb::next_sm_cb |
| struct OLD_SM_Cb* OLD_SM_Cb::prev_sm_cb |
| struct OLD_SM_Func* OLD_SM_Cb::sm_func |
| struct SM_Mdes* OLD_SM_Cb::sm_mdes |


Here, your student experience is uniquely your own.
At Rasmussen, students have a choice in their learning. Since you know how you learn best, we offer options, backing them up with student services to help along the way. Based on your program, you can learn in online courses, traditional classrooms, at your own pace or following an instructor’s set schedule. Courses can include hands-on experience in virtual labs, project assessments and interactive sessions with experienced faculty. This flexibility helps each of our students have the college experience that’s best for them.


--- common-css: - "/css/d/d3.css" common-js: - "/js/d/d3.min.js" - "/js/dat.gui.min.js" --- {% include head.html %}


About Me
Hi! My name is Sanel. I’m a New York City based software developer with experience in Ruby on Rails, JavaScript, React-Redux, and Java, and a background in Computer Science.
Growing up, my interests in logic and mathematics led me to pursue a career in a field where I could be a problem-solver.
Programming allows me to find solutions to complex problems and create things that are sophisticated, intuitive, functional and useful to others.
When I’m not coding, you can find me on the soccer field, or making plans for my next travel adventure.


git is version control software on your computer.
We COMMIT our code version to git on our computer.
github.com is a cloud service that works with git to help us collaborate with other coders.
We PUSH our code to github.com to collaborate with other coders.
We DEPLOY our projects to a server so that the world can view them in a browser on a computer, tablet or phone.
In the bootcamp we DEPLOY to the bootcamp-coders.cnm.edu server
DEPLOY and PUSH are DIFFERENT!!!


Nottingham bar Billy Bootleggers ordered by council to remove 'detrimental' signage
They have eight weeks to appeal
by Lynette PinchessA Nottingham bar has been told to remove a "detrimental" signage outside the building because it's not in keeping with the area.
Dive bar Billy Bootloggers has received a letter from Nottingham City Council turning down retrospective planning permission for the large-scale painted logo on the property in Weekday Cross, in the Lace Market.
Planners said: "The unauthorised painted signage is detrimental to the visual amenity of the building and wider Conservation Area by virtue of its scale, location and impact upon the character and appearance of the host building."
The sign, by a local artist, also covers one of the sash windows.
The bourbon and live music venue opened its doors at the beginning of October in the building which used to be Filthy's, and for a short time, Chemistry.
Elliot Towsey, who runs Billy Bootleggers with Paul Scevington, said: "I didn't know we had to apply for permission with it being painted and not an erected sign. We didn't foresee it would be a problem.
"The area has a mixture of buildings and styles and I don't think it's detrimental. I think it's a strange decision when in the surrounding area there are other large painted logos on buildings.
"We've a couple of ideas. We are not wanting to upset anyone but we are hoping to stand up for ourselves."
A city council spokesperson said: “This was a retrospective application to retain a sign that had been put up without consent. It was refused because we share the concerns raised by the Civic Society and Conservation Officer that the sign spoils the appearance of this prominent and characterful building and the wider conservation area.
"The sign also masks one of the original sash windows that has been boarded up, which upsets the composition of the building.
“We will now liaise with the applicant about its removal, which could involve enforcement action if that becomes necessary. If applicants want to appeal they need to do so within eight weeks from the date of the decision.”


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This is the main function in this package. It will convert one or more years to the corresponding generation. Generation names and years are taken from Howe & Strauss' generational theory.
generations( yob, full_names = FALSE, years = FALSE, years_sep = " ", years_range_sep = "–", as_factor = TRUE )
| yob | a vector of integers. Currently, integers are the only accepted input, so characters and date types must be converted first. |
|---|---|
| full_names | logical. If |
| years | logical. Should the year range be included in the output? Useful
for printing, plotting, or otherwise displaying. For example, "Gen X" becomes
"Gen X (1964–1983)". |
| years_sep | a string. If |
| years_range_sep | a string. If |
| as_factor | logical. Should the vector be returned as a factor? If so,
the levels will be chronological order (oldest generation first). If not, it
will be returned as a character vector. |
a vector
Note that labels are included for years between 1435 and 2030. Anything outside
of that range will return NA
.
# Generate some sample data yobs <- sort(floor(runif(10, 1880, 2020))) # Convert to the generations generations(yobs)#> [1] Missionary Lost Lost G.I. Silent Boomer #> [7] Gen X Gen X Millennial Millennial #> Levels: Missionary Lost G.I. Silent Boomer Gen X Millennialgenerations(yobs, full_names = TRUE)#> [1] Missionary Generation Lost Generation Lost Generation #> [4] G.I. Generation Silent Generation Boomer Generation #> [7] Generation X Generation X Millennial Generation #> [10] Millennial Generation #> 7 Levels: Missionary Generation Lost Generation ... Millennial Generationgenerations(yobs, full_names = TRUE, years = TRUE)#> [1] Missionary Generation (1865–1885) Lost Generation (1886–1907) #> [3] Lost Generation (1886–1907) G.I. Generation (1908–1928) #> [5] Silent Generation (1929–1945) Boomer Generation (1946–1963) #> [7] Generation X (1964–1983) Generation X (1964–1983) #> [9] Millennial Generation (1984–2007) Millennial Generation (1984–2007) #> 7 Levels: Missionary Generation (1865–1885) ... Millennial Generation (1984–2007)generations(yobs, years = TRUE, years_range_sep = " to ")#> [1] Missionary (1865 to 1885) Lost (1886 to 1907) #> [3] Lost (1886 to 1907) G.I. (1908 to 1928) #> [5] Silent (1929 to 1945) Boomer (1946 to 1963) #> [7] Gen X (1964 to 1983) Gen X (1964 to 1983) #> [9] Millennial (1984 to 2007) Millennial (1984 to 2007) #> 7 Levels: Missionary (1865 to 1885) ... Millennial (1984 to 2007)


In this section we take a closer look at how correlation can be interpreted geometrically in terms of angles.
We have defined $X$ and $Y$ to have the standard bivariate normal density with correlation $\rho$ if
$$ Y ~ = ~ \rho X + \sqrt{1 - \rho^2} Z $$where $X$ and $Z$ are i.i.d. standard normal. We showed that $Y$ is also standard normal, and that the conditional density of $Y$ given $X = x$ is normal $(\rho x, 1 - \rho^2)$.
Note that we are assuming that $\rho$ is neither $1$ nor $-1$, so that the conditional density is not degenerate.
The joint density of $Y$ is the product of the marginal density of $X$ and the conditional density of $Y$ given $X$. That is,
\begin{align*} f(x, y) ~ &= ~ f_X(x)f_{Y \mid X=x} (y) \\ \\ &= ~ \frac{1}{\sqrt{2\pi}} \exp \Big{(}-\frac{1}{2} x^2\Big{)} \frac{1}{\sqrt{2\pi}\sqrt{1-\rho^2}} \exp \Big{(} -\frac{1}{2(1-\rho^2)} (y - \rho x)^2 \Big{)} \\ \\ &= ~ \frac{1}{2\pi \sqrt{1 - \rho^2}} \exp \Big{(} -\frac{1}{2(1-\rho^2)} (x^2 - 2\rho xy + y^2) \Big{)} \end{align*}by algebraic simplification. There is no need to learn this formula for applications; just remember the marginal and conditional densities used to derive it.
Here we will use the joint density to observe some important properties of bivariate normal variables.
The graph below shows the joint density surface when $\rho = 0.8$. You can see that it has elliptical contours, consistent with the elliptical scatter plots we got in the previous sections by generating points $(X, Y)$.
rho = 0.8
Plot_standard_bivariate_normal_density(rho)
Run the cell a few times with different values of $\rho$ in $(-1, 1)$ and notice how the surface changes. As the magnitude of $\rho$ gets smaller, the surface looks more like a bell with circular contours.
You know that in general, uncorrelated random variables need not be independent. But uncorrelated bivariate normal variables are independent, as you can see in several ways.
Suppose $\rho = 0$. Then $X$ and $Y$ are independent, for any of the reasons listed below.
Establishing the independence of two random variables is not necessarily a simple task, but in the case of two bivariate normal random variables it is very simple indeed: just find the covariance between the two variables. If the covariance is zero, then the random variables are independent. If the covariance is not zero, then the random variables are dependent.
Everything we have said above follows from the definition
$$ Y ~ = ~ \rho X + \sqrt{1 - \rho^2} Z $$where $X$ and $Z$ are i.i.d. standard normal.
Let's see where this comes from. A good place to start is the joint density of $X$ and $Z$, which has circular symmetry.
The $X$ and $Z$ axes are orthogonal. Let's see what happens if we twist them.
Take any positive angle $\theta$ and draw a new axis at angle $\theta$ to the original $X$ axis. Every point $(X, Z)$ has a projection onto this axis. The figure below shows the projection of the point $(X, Z) = (1, 2)$ onto the gold axis which is at an angle of $\theta$ degress to the $X$ axis. The blue segment is the value of $X$. You get that by dropping the perpendicular from $(1, 2)$ to the horizontal axis. That's called projecting $(1, 2)$ onto the horizontal axis. The red segment is the projection of $(1, 2)$ onto the gold axes, obtained by dropping the perpendicular from $(1, 2)$ to the gold axis.
Vary the values of $\theta$ in the cell below to see how the projection changes as the gold axis rotates.
theta = 30
projection_1_2(30)
Let $Y$ be the length of the red segment, and remember that $X$ is the length of the blue segment. When $\theta$ is very small, $Y$ is almost equal to $X$. When $\theta$ approaches 90 degrees, $Y$ is almost equal to $Z$.
A little trigonometry shows that $Y ~ = ~ X \cos(\theta) + Z\sin(\theta)$.
projection_trig()
Thus $$ Y ~ = ~ X\cos(\theta) + Z\sin(\theta) ~ = ~ \rho X + \sqrt{1 - \rho^2}Z $$ where $\rho = \cos(\theta)$.
The graphs below illustrate the transformation for $\theta = 30$ degrees.
theta = 30
projection_1_2(theta)
The bivariate normal distribution is the joint distribution of the blue and red lengths $X$ and $Y$ when the original point $(X, Z)$ has i.i.d. standard normal coordinates. This transforms the circular contours of the joint density surface of $(X, Z)$ into the elliptical contours of the joint density surface of $(X, Y)$.
cos(theta), (3**0.5)/2
rho = cos(theta)
Plot_standard_bivariate_normal_density(rho)
When $\theta$ is very small, there is hardly any change in the position of the axis, and so $X$ and $Y$ are almost equal.
theta = 2
projection_1_2(theta)
The bivariate normal density of $X$ and $Y$, therefore, is essentially confined to the $X = Y$ line. The correlation $\cos(\theta)$ is large because $\theta$ is small; it is more than 0.999.
You can see the plotting function having trouble rendering this joint density surface.
rho = cos(theta)
rho
Plot_standard_bivariate_normal_density(rho)
When $\theta$ is 90 degrees, the gold axis is orthogonal to the $X$ axis and $Y$ is equal to $Z$ which is independent of $X$.
theta = 90
projection_1_2(theta)
When $\theta = 90$ degrees, $\cos(\theta) = 0$. The joint density surface of $(X, Y)$ is the same as that of $(X, Z)$ and has circular symmetry.
Plot_standard_bivariate_normal_density(0)


During my free time I often to go rock climbing, inside or outside. On the weekends I like to binge
watch a movie or several movies. When feeling a little more advantageous, I work
as a volunteer in the archaeological lab at the Natural History Museum
of Utah.
Of the three interests above, watching movies is by far my favorite. I am a huge film buff and will list some favorites in a table below.
| Horror | Sci-Fi | Drama |
|---|---|---|
| Hereditary | The Abyss | Train Spotting |
| The House that Jack Built | The Thing | Dandelion |
| Syspiria | Prometheus | Vanilla Sky |
| Jeepers Creepers | Star Wars | Gia |
| The Shining | Mandy | A Spotless Mind |


RedWolf Vapes was founded in 2009 by a couple of ambitious vapers that wanted the best equipment available. We are committed to making the best possible mods/tanks and juices on the market today. The ecommerce store is currently down for maintenance. Please add us on Social Media to purchase custom equipment and follow our journey.


Farmers reap success with mango exports to US - Hutchinson
Minister without Portfolio in the Ministry of Industry, Commerce, Agriculture and Fisheries, J.C. Hutchinson, says the export of mangoes to the United States earlier this year was a success for registered farmers.
In an interview with JIS News, Hutchinson said, as a result, many farmers who had given up their orchards, are now looking to put them back into production “so that by next year they will be able to get certified and they will get their crops going”.
Hutchinson added that during the crop’s season there were “several farms in St Thomas that were verified [and] certified, and so we exported from there”.
He further noted that there are about six or seven farmers on the island who are certified to export their mangoes.
Hutchinson encouraged farmers with an interest to export the fruit to contact the Rural Agricultural Development Authority (RADA).
“The agency will carry the farmers through the process as to how they can get certified. If they have orchards or if they have large acreage of land and they want to get into orchard production of mangoes or any other fruit crop, they can get in touch with RADA and they will guide them,” the Minister said.
While the ‘East Indian’ and ‘Julie’ are the only mangoes being exported at this time, Hutchinson said that if demand grows for other mangoes, they will also be considered.
In 2014, the United States Department of Agriculture (USDA) gave clearance for Jamaica to export mangoes to the country.
However, this was subject to compliance with standards required by the USDA’s Animal and Plant Health Inspection Service.
As a result, the Government has had to work with the nation’s farmers to meet the necessary requirements.
Mangoes exported this year were the first to the US in 20 years.
Exports resumed in June and stopped at the end of the crop’s season in late July.
Once in season, export of mangoes to the US takes place twice per week.


☰
PSALMS 117
◀
▶
117
The LORD'S Faithfulness Endures Forever
1
Praise the LORD, all nations!
Extol him, all peoples!
2
For great is his steadfast love toward us,
and the faithfulness of the LORD endures forever.
Praise the LORD!


Key
- Info:
- FYI.
- OK:
- All Good.
- Warn:
- Could do better.
- Fail:
- Please fix.
- Project Name
- Project name & GitHub link.
- Description
- GitHub project description or warning if missing.
- date
- Date project last updated.
- language
- Project language.
- n
- Number of open issues.
- Read Me
- Link to project ReadMe file (if present).
- License
- Link to project license file (if present).
- Metadata
- Link to project Metadata file (if present).