|
Class Summary |
| AnyAllOption |
FTAnyAllOption: FTWords [any, all, all words, any word, phrase] |
| FTCaseMatchOption |
Case Match Option: upper case, lower case, case sensitive, case insensitive |
| FTContent |
|
| FTDistance |
FTDistance (Positional Filter): distance at least, at most, exactly i, from i to j words, sentences, paragraphs |
| FTExtensionMatchOption |
FTExtension Match Option |
| FTLangDepFactory |
Factory for language-dependent features of XQuery Full Text |
| FTLanguageMatchOption |
FTLanguage Match Option |
| FTOrder |
FTOrder: whether Linguistic Tokens are in ascending order |
| FTPositional |
|
| FTScope |
|
| FTStopWordsMatchOption |
FTStopWord Match Option |
| FTThesaurusMatchOption |
FTThesaurus Match Option |
| FTWindow |
FTWindow (Positional Filter): window i words, paragraph, sentences |
| MatchOption |
MatchOption: implementation of MatchOption |
| Range |
implementation of a Range in FT |


Camp Fire clean-up reaches milestone
PARADISE (INT) The fire-stricken Northern California community of Paradise has reached a milestone in its recovery.
It was announced Tuesday on the 1-year anniversary of the devastating Camp Fire that all debris has been removed from 11,000 properties.
The clean-up was the largest of its type in state history. Crews removed more than 3.66 million tonsor 7.3 billion poundsof ash, debris, metal, concrete, and contaminated soil. The total tonnage removed from the Camp Fire is equivalent to 10 Empire State Buildings.
It took 9-months under Californias Consolidated Debris Removal Program.


SAP is a leading provider of enterprise solutions to government and non-profit agencies worldwide. SAP is committed to helping governments protect communities, serve constituents, and drive economic prosperity. With SAP's enterprise solutions, public sector agencies can automate processes, boost performance, decide with data, and empower employees with ease and intelligence.


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Smart classroom content, customizable assessments and teacher resources.
In today's complex world, children's futures are determined by their ability to master the basics of reading, science, math and computers. Significant improvement in learning performance. Based on grade level curriculum goals. Great for homeschooling and additional exercises. We're building a community for parents and educators to share innovations and insights in childhood education.
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I am PhD Student in Computer Science at Johns Hopkins University. I enjoy devoting my time and attention to a variety of activities and intellectual pursuits. I am fortunate to be advised by Randal Burns.
My research interests include:
For more information on my work, go to Publications or Current Work.
For a list of papers and presentations, see Google Scholar.
I also enjoy rock climbing, hiking, and traveling.
B-trees are the go-to data structure for in-memory indexes in databases and storage systems. B-trees support both point operations (i.e., inserts and finds) and range operations (i.e., iterators and maps). However, there is an inherent tradeoff between point and range operations since the optimal node size for point operations is much smaller than the optimal node size for range operations. Existing implementations use a relatively small node size to achieve fast point operations at the cost of range operation throughput.
We present the BP-tree, a variant of the B-tree, that overcomes the decades-old point-range operation tradeoff in traditional B-trees. In the BP-tree, the leaf nodes are much larger in size than the internal nodes to support faster range scans. To avoid any slowdown in point operations due to large leaf nodes, we introduce a new insertoptimized array called the buffered partitioned array (BPA) to efficiently organize data in leaf nodes. The BPA supports fast insertions by delaying ordering the keys in the array. This results in much faster range operations and faster point operations at the same time in the BP-tree.
Our experiments show that on 48 hyperthreads, on workloads generated from the Yahoo! Cloud Serving Benchmark (YCSB), the BP-tree supports similar or faster point operation throughput (between .94×−1.2× faster) compared to Masstree and OpenBw-tree, two state-of-the-art in-memory key-value (KV) stores. On a YCSB workload with short scans, the BP-tree is about 7.4× faster than Masstree and 1.6× faster than OpenBw-tree. Furthermore, we extend the YCSB to add large range workloads, commonly found in database applications, and show that the BP-tree is 30× faster than Masstree and 2.5× faster than OpenBw-tree.
We also provide a reference implementation for a concurrent B+ - tree and find that the BP-tree supports faster (between 1.03×−1.2× faster) point operations when compared to the best-case configuration for B+ -trees for point operations while supporting similar performance (about .95×as fast) on short range operations and faster (about 1.3× faster) long range operations
This paper introduces Search-optimized Packed Memory Arrays (SPMAs), a collection of data structures based on Packed Memory Arrays (PMAs) that address suboptimal search via cache-optimized search layouts. Traditionally, PMAs and B-trees have tradeoffs between searches/inserts and scans: B-trees were faster for searches and inserts, while PMAs were faster for scans.
Our empirical evaluation shows that SPMAs overcome this tradeoff for unsorted input distributions: on average, SPMAs are faster than B+-trees (a variant of B-trees optimized for scans) on all major operations. We generated datasets and search/insert workloads from the Yahoo! Cloud Serving Benchmark (YCSB) and found that SPMAs are about 2× faster than B+-trees regardless of the ratio of searches to inserts. On uni form random inputs, SPMAs are on average between 1.3 × −2.3× faster than B+-trees on all operations. Finally, we vary the amount of sortedness in the inputs to stress the worst-case insert distribution in the PMA. We find that the worst-case B+-tree insertion throughput is about 1.5× faster than the worst-case PMA insertion throughput. However, the worst-case input for the PMA is sorted and highly unlikely to appear naturally in practice. The SPMAs maintain higher insertion throughput than the B+-tree when the input is up to 25% sorted.
This talk discusses dynamic graph data structures and what to consider when designing new ones. It breaks the task of designing graph data structures into creating structures that can support a few key operations efficiently. The focus is on how different use cases, which can cause different data patterns and access patterns, can influence the design of these structures and how to exploit these differences to maximize performance.
We present the SSTGraph framework for the storage and analysis of dynamic graphs. Its performance matches or exceeds state-of-the-art static graph engines and supports streaming updates. SSTGraph builds on top of the tinyset parallel, dynamic set data structure. Tinyset implements set membership in a shallow hierarchy of sorted packed memory arrays to achieve logarithmic time access and updates, and it scans in optimal linear time. Tinyset uses space comparable to that of systems that use data compression while avoiding compression's computation and serialization overhead.
SSTGraph outperforms other streaming, dynamic graph engines on a suite of four graph algorithms. Our evaluation includes a comparison with the Aspen streaming graph system. SSTGraph reduces runtime by 40% on average, updates are 2x-5x faster on batch sizes up to 10 million, and graphs are smaller. The partitioned data structure scales well and runs on billion edge graphs in just 15 GB of memory.
Various applications model problems as streaming graphs, which need to quickly apply a stream of updates and run algorithms on the updated graph. Furthermore, many dynamic real-world graphs, such as social networks, follow a skewed distribution of vertex degrees, where there are a few high-degree vertices and many low-degree vertices.
Existing static graph-processing systems optimized for graph skewness achieve high performance and low space usage by preprocessing a cache-efficient graph partitioning based on vertex degree. In the streaming setting, the whole graph is not available upfront, however, so finding an optimal partitioning is not feasible in the presence of updates. As a result, existing streaming graph-processing systems take a "one-size-fits-all" approach, leaving performance on the table.
We present Terrace, a system for streaming graphs that uses a hierarchical data structure design to store a vertex's neighbors in different data structures depending on the degree of the vertex. This multi-level structure enables Terrace to dynamically partition vertices based on their degrees and adapt to skewness in the underlying graph.
Our experiments show that Terrace supports faster batch insertions for batch sizes up to 1M when compared to Aspen, a state-of-the-art graph streaming system. On graph query algorithms, Terrace is between 1.7x--2.6x faster than Aspen and between 0.5x--1.3x as fast as Ligra, a state-of-the-art static graph-processing system.
We describe RADICS: Runtime Assurance of Distributed Intelligent Control Systems, which combines a Simplex-based, black-box monitor with a white-box monitor to ensure correct behavior and good performance of AI systems. The black-box monitor allows the system to detect when the AI controller is on a failing trajectory and use a provably safe, but less performant algorithm, to right the system. The white-box monitor predicts when the AI controller will be put on such a trajectory before it happens and helps maximize the performance of the overall system. We describe the overall approach in detail and implement a simple version of it on a case study into controlling the lights in a small traffic grid.
The ideal data structure for storing dynamic graphs would support fast updates as well as fast range queries which underlie graph traversals such as breadth-first search. The Packed Memory Array (PMA) seems like a good candidate for this setting because it supports fast updates as well as cache-efficient range queries. Concurrently updating a PMA raises challenges, however, because an update may require rewriting the entire structure.
This paper introduces a parallel PMA with intra- and inter-operation parallelism and deadlock-free polylogarithmicspan operations. Our main observation is that the PMA is well-suited to concurrent updates despite occasionally requiring a rewrite of the entire structure because 1) most of the updates only write to a small part of the structure and 2) the worst case is highly parallel and cache-efficient.
To evaluate our data structure, we implemented Parallel Packed Compressed Sparse Row (PPCSR), a dynamic-graph processing framework that extends the Ligra interface with graph updates. We show that PPCSR is on average about 1.6x faster on graph kernels than Aspen, a state-of-the-art graph-streaming system. PPCSR achieves up to 80 million updates per second and is 2 – 5x faster than Aspen on most batch sizes. Finally, PPCSR is competitive with Ligra and Ligra+, two state-of-the-art static graph-processing frameworks.
The accuracy and computational efficiency of image alignment directly affects the advancement of connectomics, a field which seeks to understand the structure of the brain through electron microscopy.
We introduce the algorithms Quilter and Stacker that are designed to perform 2D and 3D alignment respectively on petabyte-scale data sets from connectomics. Quilter and Stacker are efficient, scalable, and simple to deploy on hardware ranging from a researcher's laptop to a large computing cluster. On a single 18-core cloud machine each algorithm achieves throughputs of more than 1 TB/hr; when combined the algorithms produce an end-to-end alignment pipeline that processes data at a rate of 0.82 TB/hr - an over 10x improvement from previous systems. This efficiency comes from both traditional optimizations and from the use of ``Frugal Snap Judgments'' to judiciously exploit performance--accuracy trade offs.
A high-throughput image-alignment pipeline was implemented using the Quilter and Stacker algorithms and its performance was evaluated using three datasets whose size ranged from 550GB to 38TB. The full alignment pipeline achieved a throughput of 0.6-0.8 TB/hr and 1.4-1.5 TB/hr on an 18-core and 112-core shared-memory multicore, respectively. On a supercomputing cluster with 200 nodes and 1600 total cores, the pipeline achieved a throughput of 21.4 TB/hr.
Perhaps the most popular sparse graph storage format is Compressed Sparse Row (CSR). CSR excels at storing graphs compactly with minimal overhead, allowing for fast traversals, lookups, and basic graph computations such as PageRank. Since elements in CSR format are packed together, additions and deletions often require time linear in the size of the graph.
We introduce a new dynamic sparse graph representation called Packed Compressed Sparse Row (PCSR), based on an array-based dynamic data structure called the Packed Memory Array. PCSR is similar to CSR, but leaves spaces between elements, allowing for asymptotically faster insertions and deletions in exchange for a constant factor slowdown in traversals and a constant factor increase in space overhead.
Our contributions are twofold. We describe PCSR and review the theoretical guarantees for update, insert, and search for PCSR. We also implemented PCSR as well as other basic graph storage formats and report our findings on a variety of benchmarks. PCSR supports inserts orders of magnitude faster than CSR and is only a factor of two slower on graph traversals. Our results suggest that PCSR is a lightweight dynamic graph representation that supports fast inserts and competitive searches.
Energy efficiency is a key challenge for building modern sustainable societies. World’s energy consumption is expected to grow annually by 1.6 %, increasing pressure for utilities and governments to fulfill demand and raising significant challenges in generation, distribution, and storage of electricity. In this context, accurate predictions and understanding of population dynamics and their relation to electricity demand dynamics is of high relevance.
We introduce a simple machine learning (ML) method for day-ahead predictions of hourly energy consumption, based on population and electricity demand dynamics. We use anonymized mobile phone records (CDRs) and historical energy records from a small European country. CDRs are large-scale data that is collected passively and on a regular basis by mobile phone carriers, including time and location of calls and text messages, as well as phones’ countries of origin. We show that simple support vector machine (SVM) autoregressive models are capable of baseline energy demand predictions with accuracies below 3 % percentage error and active population predictions below 10 % percentage error. Moreover, we show that population dynamics from mobile phone records contain information additional to that of electricity demand records, which can be exploited to improve prediction performance. Finally, we illustrate how the joint analysis of population and electricity dynamics elicits insights into the relation between population and electricity demand segments, allowing for potential demand management interventions and policies beyond reactive supply-side operations.
This paper introduces the batch-parallel Compressed Packed Memory Array (CPMA), a compressed dynamic ordered set data structure based on the Packed Memory Array (PMA) that supports parallel batch updates. Traditionally, batch-parallel sets are built on pointer-based data structures such as trees because they enable fast parallel unions via pointer manipulation. When compared to cache optimized trees, PMAs were slower to update but faster to scan.
The batch-parallel CPMA overcomes this tradeoff between updates and scans by optimizing for cache-friendliness. On average, the CPMA is faster than compressed PaC-trees, a state-of-the-art batch-parallel set library based on cache-optimized trees, by 3× on batch updates and 1.2× on range queries.
We further evaluate the CPMA compared to compressed PaC-trees on a real-world application of dynamic graph processing. The CPMA is on average 1.5× faster than compressed PaC-trees on a suite of graph algorithms.
My vision is to create a suite of data structures, which implement memory-efficient versions of common operations, so users can reap these benefits across many problems and scales without needing the technical expertise to understand and tune for the memory hierarchy. The next steps are to continue to develop techniques for adapting structures dynamically to best suit the data pattern and problem structure, as well as move from dynamic graphs to more general structures, such as sets and matrices. Some specific examples are as follows:
A graph library for storing the time history of a graph, where instead of being able to update a graph to store the current version in respect to changes over time, would instead store the complete history of the graph, so that any point in time can be efficiently queried. Furthermore, multiple different points in time will be able to be analyzed at the same time, sharing work and I/O between the different queries.
A Dynamic Sparse Matrix Library called Concord, which will build off of the SSTGraph and adapt to efficiently store matrices of many different forms and enable both standard computation with separate output and inplace updates. Concord will take advantage of its dynamic structure, without having to perform rewrites or pre-calculate the matrix’s pattern.
I am currently a PhD Student in Computer Science at Johns Hopkins University advised by Randal Burns. I received the Gordon Croft Fellowship.
I earned my Masters of Engineering from Massachusetts Institute of Technology (MIT) in 2019, working with Charles E. Leiserson.
I earned my Bachelors of Science from Massachusetts Institute of Technology in 2017, completing a double major in Computer Science and Mathematics and a double minor in Economics and Management Science. I am a member of both the Engineering Honor Society (TBP) and the Computer Science Honor Society (HKN). I was the Lockheed Martin Undergraduate Research and Innovation Scholar, under the supervision of Daniela Rus and Sertac Karaman.
Master's Thesis:
For my undergraduate senior seminar paper in Discrete Math, I studied Anti-magic graphs.
For my undergraduate senior research paper in Computer Science, I studied a variant of the Traveling Salesman Problem.
I have worked with a variety of classes from my undergrad through my PhD:
External Reviewer
I have completed multiple Software and Data Engineering internships:


polaroid.js is a jQuery plugin that transforms any image into a polaroid photo.
Using polaroid.js couldn't be easier: just include the script and use some special attributes with any image you want to insert a polaroid frame. No need to call any script or initialize anything.
Step 1: include JQuery and polaroid.js in your page
<script src="jquery.js"/> <script src="polaroid.js"/>
Step 2: every image you want to insert a polaroid frame just include the data-polaroid
attribute
<image src="html5.png" data-polaroid/>
Changing the color is easy: just use the data-polaroidcolor
attribute. If not provided, the default color is white.
<image src="html5.png" data-polaroid data-polaroidcolor="#ff0000" />
You can choose to display or not the small piece of tape that holds the photo: use the data-polaroidtape
attribute. If not provided, the default value is true (show tape).
<image src="html5.png" data-polaroid data-polaroidtape="false"/>
You can also control the shadow dimensions by using the data-polaroidshadow
attribute. If not provided, the default value is 15.
<image src="html5.png" data-polaroid data-polaroidshadow="5"/>
polaroid.js is also a JQuery plugin which can be called from your code to transform any image. For instance, to insert a polaroid frame transform the image whoose id is my_image just issue the following JQuery command:
$('#my_image').polaroid({color: "#D500E0", tape: "true", shadow: 5})
polaroid.js allows developers to create fantastic looking images across all modern desktop and mobile browsers. polaroid.js uses HTML5 Canvas which is compatible with the latest Android and Apple iOS (iPhone/iPad) phones and tablets.
polaroid.js is a jQuery plugin.
List of supported browsers:polaroid.js is safe to use with older browsers. If polaroid.js is not supported by the browser then the original image will be displayed as fallback and your site will continue to work. No javascript errors will be thrown.


Before Change
graph.update_diffmap()
adata.add["data_graph_distance_local"] = graph.Dsq
adata.add["data_graph_norm_weights"] = graph.Ktilde
adata.smp["X_diffmap"] = graph.rbasis[:, 1:]
adata.smp["X_diffmap0"] = graph.rbasis[:, 0]
adata.add["diffmap_evals"] = graph.evals[1:]
return graph
After Change
graph.update_diffmap()
adata.add["data_graph_distance_local"] = graph.Dsq
adata.add["data_graph_norm_weights"] = graph.Ktilde
adata.set_multicol_field_smp("X_diffmap", graph.rbasis[:, 1:])
adata.smp["X_diffmap0"] = graph.rbasis[:, 0]
adata.add["diffmap_evals"] = graph.evals[1:]
return graph


If you feel so inclined, you can contribute to these notes by donating coffee to the author, for caffeine-fueled focus during lectures.
How to Compare Algorithm Run Time in Python
Sorting Algorithms on Geeks for Geeks
How to Analyze Time Complexity of Sort and Search Algorithms
Sorting Algorithm Walk Through Visualizations
Python Tutor: Debug Your Code Step By Step
Additional Algorithmic Practice Problems: Find the rotation point, Find the smallest missing element, and sorted matrix search. Video recording of lecture reviewing these with Sean Chen found here.
“It’s only a problem if it’s a problem”
- Beej Jorgensen
When would we use recursive solutions? Tree traversals and quick sort are instances where recursion creates an elegant solution that wouldn’t be as possible iteratively.
Divide and conquer is when we take a problem, split it into the same type of sub-problem, and run the algorithm on those sub-problems.
If we have an algorithm that runs on a list, we could break the list into smaller lists and run the algorithm on those smaller lists. We will divide the data into more manageable pieces.
We break down our algorithm problems into base cases
– the smallest possible size of data we can run our algorithm upon to determine the basic way our algorithm should work.
These solutions can give us better time complexity solutions; however, they wouldn’t work if a portion of the algorithm’s data is dependent upon the rest. If we broke the list into two halves, and one half is required to work on the other half, we could not use recursion.
Recursion requires independent sub-data.
Let’s apply recursion to breaking down what a list is. The sum of a list is equal to the first element plus the rest of the list. We could write that like in this add_list
function found in this file:
def add_list(l):
# The sum of an empty list is 0
if l == []:
return 0
return l[0] + add_list(l[1:])
l = [1,2,3,4]
print(add_list(l)) # Should print 10
This should print 10, or the sum of the items in our list.
On each pass, the add_list
function is taking the first item and adding the sum of the rest of the list, found by calling add_list
on the remainder of the list. This would loop through the rest of the list in this manner, only adding together the elements once the final element was reached.
Finding a sum like this is not the most time efficient – it would be better to do iteratively. But this allows us to understand how recursion works.
Often, iterative solutions are easier to read and more performant.
If we add a print statement into the add_list
function:
print(f'Add {l[0]} to the sum of {l[1:]}')
return l[0] + add_list(l[1:])
The terminal would print:
Add 1 to the sum of [2, 3, 4]
Add 2 to the sum of [3, 4]
Add 3 to the sum of [4]
Add 4 to the sum of []
10
This helps us understand what is happening at each recursive step.
Our base case is an empty list or 0, which is what we handle at the beginning of our function with returning 0 if the list is empty. By filling that in, it gives us our first return, so that each previous add_list
call can be resolved based on the sum of the next.
When we use recursion, it uses a lot of memory, so each recursive calls allocates an amount of memory. We have a pre-set recursion limit in case we write an infinitely recursive algorithm to prevent our computer needing to reboot to end the algorithm.
With Big O, we’re interested in the number of times we have to run an operation. add_list
just runs basic addition, which is a single operation, and it is being called one time for every element in the list, so this is O(n)
.
Quick sort is a great example use case of a recursive appropriate solution.
We need to include a base case and then call itself.
Quick sort sorts a list using partitioning
. The partitioning process involves splitting up data around the pivot
.
If our list is [5, 3, 9, 4, 8, 1, 7]
.
We’ll choose a pivot point to split the list. Let’s say we choose 5 as the pivot. One list will contain all the numbers less than 5, and the other will contain all the numbers greater than or equal to 5. This results in two lists like so:
[3, 4, 1] 5 [9, 8, 7]
5 is already sorted into the correct place that it needs to be. All the numbers to the right and left of it are in the area they need to, just not yet sorted.
This process is partitioning.
Our next step is to repeat this process until we hit our base case, which is an empty list or a list with just one element. When everything is down to one element lists, then we know they are properly sorted.
3 and 9 are our next pivots:
[1] 3 [4] 5 [8, 7] 9
Next, 8 is our pivot:
[1] 3 [4] 5 [7] 8 [] 9
1 3 4 5 7 8 9
The number of sorted items doubles with each pass through this algorithm, and we have to make one complete pass through the data on each loop. That means each pass is O(n), and we have to make log n
passes.
It takes O(log n)
steps to pass through, with each pass taking O(n)
, so the average case is O(n log n)
, the fastest search we can aim for.
What would be a bad case for quick sort?
[1, 2, 3, 4, 5, 6, 7]
If we look at the order of this on each loop:
[] 1 [2, 3, 4, 5, 6, 7]
1 [] 2 [3, 4, 5, 6, 7]
1 2 [] 3 [4, 5, 6, 7]
1 2 3 [] 4 [5, 6, 7]
1 2 3 4 [] 5 [6, 7]
1 2 3 4 5 [] 6 [7]
1 2 3 4 5 6 7
This took a full 7 passes, for 7 elements, because there was only one sorted item being added with each pass.
Already sorted lists are the worst case scenario which results in an order O(n^2)
.
Quick sort shines when the first pivot chosen is roughly the median value of the list. Now, since we can’t always choose the median value with the traditional quick sort.
We could use quick select
to find the median at each step – but this slows down our algorithm to O(n)
run time on average.
If we choose a random pivot point, we generally do not pick the worst case pivot with each pass. Randomly selecting a pivot point results in the most time efficient average.
If we were to write out our quick sort algorithm in a basic way, it would look something like this:
def quicksort(list):
# One of our base cases is an empty list or list with one element
if len(list) == 0 or len(list) == 1:
return list
# If we have a left list, a pivot point and a right list...
left, pivot, right = partition(list)
# Our sorted list looks like left + pivot + right, but sorted.
# Pivot has to be in brackets to be a list, so python can concatenate all the elements to a single list
return quicksort(left) + [pivot] + quicksort(right)
Let’s define our partition function next:
def partition(list):
left = []
pivot = list[0] # Or make random, as a stretch
right = []
for v in list[1:]:
if v < pivot:
left.append(v)
else:
right.append(v)
return left, pivot, right
Let’s test out a bunch of possible cases like so:
print(quicksort([]))
print(quicksort([1]))
print(quicksort([1,2]))
print(quicksort([2,1]))
print(quicksort([2,2]))
print(quicksort([5,3,9,4,8,1,7]))
print(quicksort([1,2,3,4,5,6,7]))
print(quicksort([9,8,7,6,5,4,3,2,1]))
We already know off the tops of our heads that we have not setup our algorithm to handle edge cases like an input that is not a list, or is a list full of strings, etc.
Our terminal returns back:
[]
[1]
[1, 2]
[1, 2]
[2, 2]
[1, 3, 4, 5, 7, 8, 9]
[1, 2, 3, 4, 5, 6, 7]
[1, 2, 3, 4, 5, 6, 7, 8, 9]
So we can see that it handles all of our tests well.
It’s important to analyze what you know about your incoming data before choosing a type of algorithm. If you know that your list is almost completely sorted, bubble sort would handle that the quickest. If the list is completely garbled, quick sort would be best.
Even when we aren’t handling sort, we need to customize our algorithmic choices to the data anticipated, especially when dealing with large sets of data where time performance can have a huge impact.
The quick sort function we wrote is not an in-place solution. When we sort that list, we’re actually returning an entirely new list. It’s not returning the same list.
This isn’t time or space efficient because it takes time and data to copy lists over to newly allocated spots in memory. It would be more efficient to move items around within the original given list.
This is in-place sorting
– using the original list to sort items within it and returning that same original list, but now sorted. We mutate the original list rather than making new lists.
To do in-place sorting, we need to be able to pass into the function the bounds of the current part of the list that we’re working on, to ensure that we are only working on certain segments of the list at a time.
We can give it a low index, and a high index, to indicate the start and stop points of the section of the list to work on.
As we keep going, the low and high indices will change. Our base case should now change to where if the low and high are the same, then our list is sorted.
Let’s try it:
def quicksort2(l, low, high):
if len(l) == 0 or len(l) == 1:
return l
if low >= high:
return l
pivot_index = low
# Partitioning
for i in range(low, high):
if l[i] < l[pivot_index]:
# If i is less than pivot, we need to swap it with the item after the pivot
l[i], l[pivot_index + 1] = l[pivot_index + 1], l[i]
# Then we'll swap the pivot with the item after the pivot
l[pivot_index], l[pivot_index + 1] = l[pivot_index + 1], l[pivot_index]
# Update the pivot index:
pivot_index += 1
# Sort from low to the pivot index
quicksort2(l, low, pivot_index)
# Sort from the pivot index to high
quicksort2(l, pivot_index + 1, high)
We’re iterating through the list and checking if the item at list[i]
is less than the item at list[pivot_index]
. If it is, then we need to swap these items.
That has to happen in two steps. First we swap i with an item one beyond the pivot index. Then we swap the pivot with the item after the pivot.
Then we update the pivot index to search for the next item to sort in the array.
In order to call this function without passing in three parameters, we can write a short helper function:
def in_place_quicksort(l):
return quicksort2(l, 0, len(l))
print(in_place_quicksort([]))
print(in_place_quicksort([1]))
print(in_place_quicksort([1,2]))
print(in_place_quicksort([2,1]))
print(in_place_quicksort([2,2]))
print(in_place_quicksort([5,3,9,4,8,1,7]))
print(in_place_quicksort([1,2,3,4,5,6,7]))
print(in_place_quicksort([9,8,7,6,5,4,3,2,1]))
Now we can run this function and it sorts our lists without allocating extra memory.
Let’s add some print statements just to see exactly what is happening at each step on one of the sorts:
Our starting list is [5,3,9,4,8].
Checking against 5. Current list is [5, 3, 9, 4].
Checking against 3. Current list is [5, 3, 9, 4].
3 is less than 5, so we need to swap l[i] (3) with l[pivot_index + 1] (3).
Next, we will swap 5 with 3 and increase the pivot index from 0 to 1.
Now the current list is [3, 5, 9, 4]
Checking against 9. Current list is [3, 5, 9, 4].
Checking against 4. Current list is [3, 5, 9, 4].
4 is less than 5, so we need to swap l[i] (4) with l[pivot_index + 1] (9).
Next, we will swap 5 with 4 and increase the pivot index from 1 to 2.
Now the current list is [3, 4, 5, 9]
Splitting list to check quicksort([3, 4, 5, 9], 0, 2) and quicksort([3, 4, 5, 9], 3, 4).
Checking against 3. Current list is [3, 4, 5, 9].
Checking against 4. Current list is [3, 4, 5, 9].
Splitting list to check quicksort([3, 4, 5, 9], 0, 0) and quicksort([3, 4, 5, 9], 1, 2).
Checking against 4. Current list is [3, 4, 5, 9].
Splitting list to check quicksort([3, 4, 5, 9], 1, 1) and quicksort([3, 4, 5, 9], 2, 2).
Checking against 9. Current list is [3, 4, 5, 9].
Splitting list to check quicksort([3, 4, 5, 9], 3, 3) and quicksort([3, 4, 5, 9], 4, 4).
Our final sorted list is [3, 4, 5, 9]
This helps us visualize why we go through each swapping step and how the list is slowly being sorted, and split apart into smaller sorting lists.


Measure your Employee engagement
Our innovative surveys take less 6 minutes per week to mesasure employee engagement.Reduce employee tumover cost and increase your team morale with our easy to use weekly survey system and level up to awesome.Simply complete the sign up form below active your 25 day no-obligation free trail of the best way to measure employee engagement.
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A 2D column vector. More...
#include <b2Math.h>
Public Member Functions | |
| b2Vec2 () | |
| Default constructor does nothing (for performance). | |
| b2Vec2 (float32 x, float32 y) | |
| Construct using coordinates. | |
| void | SetZero () |
| Set this vector to all zeros. | |
| void | Set (float32 x_, float32 y_) |
| Set this vector to some specified coordinates. | |
| b2Vec2 | operator- () const |
| Negate this vector. | |
| float32 | operator() (int32 i) const |
| Read from and indexed element. | |
| float32 & | operator() (int32 i) |
| Write to an indexed element. | |
| void | operator+= (const b2Vec2 &v) |
| Add a vector to this vector. | |
| void | operator-= (const b2Vec2 &v) |
| Subtract a vector from this vector. | |
| void | operator*= (float32 a) |
| Multiply this vector by a scalar. | |
| float32 | Length () const |
| Get the length of this vector (the norm). | |
| float32 | LengthSquared () const |
| float32 | Normalize () |
| Convert this vector into a unit vector. Returns the length. | |
| bool | IsValid () const |
| Does this vector contain finite coordinates? | |
Public Attributes | |
| float32 | x |
| float32 | y |
A 2D column vector.
| b2Vec2::b2Vec2 | ( | ) | [inline] |
Default constructor does nothing (for performance).
| bool b2Vec2::IsValid | ( | ) | const [inline] |
Does this vector contain finite coordinates?
| float32 b2Vec2::Length | ( | ) | const [inline] |
Get the length of this vector (the norm).
| float32 b2Vec2::LengthSquared | ( | ) | const [inline] |
Get the length squared. For performance, use this instead of b2Vec2::Length (if possible).
| float32 b2Vec2::Normalize | ( | ) | [inline] |
Convert this vector into a unit vector. Returns the length.
| void b2Vec2::operator*= | ( | float32 | a | ) | [inline] |
Multiply this vector by a scalar.
| void b2Vec2::operator+= | ( | const b2Vec2 & | v | ) | [inline] |
Add a vector to this vector.
| b2Vec2 b2Vec2::operator- | ( | ) | const [inline] |
Negate this vector.
| void b2Vec2::operator-= | ( | const b2Vec2 & | v | ) | [inline] |
Subtract a vector from this vector.
| void b2Vec2::SetZero | ( | ) | [inline] |
Set this vector to all zeros.


The processes we follow on IT industries can seem complicated,
at Cut2TheChase we are simply identifying those parts of the process that look complicated
and replace them with optimized and human-readable solution to make the process steamlined.


Micho satisfied with Zamalek's last training camp
by Egypt TodayZamalek coach Milutin Seridovic, Micho, said his team had benefited greatly during the recent international break.
"This was a very important period for us with more than 59 matches played last season without interruption, so the last period was important for us," said Micho.
"The 6th of October camp was very necessary and we were keen on the technical and physical preparation and raising the physical fitness of the players in addition to bringing the players closer to each other."
"We have increased the fitness rate of Mahmoud Hamdi" Al-Wensh "and Ahmed Sayed" Zizo "and Obama, and the result is their appearance well and Zizo joined the Egyptian team as well because of his performance.
"We played strong friendly matches against the Wadi Degla, the South African Olympic team and Haras El-Hedoud, and we benefited from them all in the best possible way," Micho said.


Kenzie Glass
Welcome to my portfolio! Here you will find more information about me.
Click here to get a random fact about me:
This is me!
I am a sophomore at Southern Arkansas University. I am majoring in Game, Animation, and Simulation Design. During my time at school, I have been able to be on development for several games, participated in three Game Jams, and have learned to do 3D modeling in Maya.
One of my favorite activies is creating art. I love creating characters and stories behind them. I also like to model and set up 3D models to render. Below you can see some of my artwork.
Visit My Social Media
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--- layout: post title: Announcing the Rails activists categories: - general author: Mike Gunderloy published: true date: 2009-01-05 16:52:00.000000000 +00:00 ---
Bringing Rails and Merb together is about more than just merging the respective code. We’re also picking up the best ideas from both communities beyond the code. Following on Merb’s success in offering a strong evangelism effort, we’re pleased to announce the creation of the Rails activists:
The mission of the Rails activists is to empower and support the worldwide network of Ruby on Rails users. We do this by publicizing Rails, making adoption easier, and enhancing developer support.
At launch, we’ve identified seven areas where the Rails activists can contribute to the Rails ecosystem:
The initial members of the Rails activists are Gregg Pollack, Matt Aimonetti, Ryan Bates, and Mike Gunderloy. But we can’t do all this alone, nor do we want to! Our vision includes a large and vibrant Rails network composed of other activists, bloggers, event hosts, authors, and developers. Our intent is to provide connections, resources, and support to help the entire ecosystem to grow. To start things off, we’re bringing in a lot of our own projects, including videos, screencasts, case studies, Rails documentation, and more – we’re a working group, and we hope you’ll work with us.
If you have ideas about improving the Rails community, projects you want to participate in, or are just looking for ways to get involved, get in touch with us!
For additional perspectives from the activists, see the posts by Gregg Pollack, Matt Aimonetti, and Mike Gunderloy.
Photo by Flickr user caravinagre


Fill in the blanks to write your postcard.
A name
Address
Place
Message
Your name
Show me the postcard!
To:
,
Dear
,
Hello from
Love,


This is the post body and will contain the post info
This is the post body and will contain the post!


Follow these steps to stop a live algorithm:
When you stop a live algorithm, your portfolio holdings are retained.


Separators are automatically added in CSS through ::before
and content
.

Home

Home

Library

Home

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Data

Since breadcrumbs provide a navigation, it’s a good idea to add a meaningful label such as aria-label="breadcrumb"
to describe the type of navigation provided in the
element, as well as applying an aria-current="page"
to the last item of the set to indicate that it represents the current page.
For more information, see the WAI-ARIA Authoring Practices for the breadcrumb pattern.


Cartoon kids raise heck
The Rugrats Movie A Film Review By Michael Redman Copyright 1998 By Michael Redman
** (Out of ****)
I've always enjoyed the few minutes that I've caught The Rugrats on television.
Unlike animated youngsters of yore, these aren't little angels. They talk about boogers and laugh at bathroom humor. They stand a good chance of growing up to become Beavis and Butthead.
In their feature length film debut, the kids get lost in a forest. They meet up with a vicious wolf, mischievous monkeys and look for a magical "lizard" who can grant them the wish to go home. Tommy is in charge of taking care of his newborn baby brother and agonizes over his "sponsibility".
There are some funny bits. Their misunderstanding of adult words makes for an occasional humorous pun. The phenomenon experienced by every parent of a baby boy while changing diapers will have the audience laughing despite itself as a rainbow forms in the misty air of the nursery.
Although their shorts on television are enjoyable, the film feels too long. Considering the attention span of the target audience, I'm unsure that they won't be squirming in their seats. When I saw the movie, one young boy had more fun running to the back of the theater and rolling down the aisle and then doing it again, and again.
Maybe that's all they want - big cartoon kids on the screen while the kids in the audience have their own party. It's probably no coincidence that this opens during Christmas shopping season: built-in mall babysitters.
(Michael Redman has written this column for over 23 years and doesn't plan on starting his Christmas shopping for, oh, about four weeks. Email electronic gifts to<EMAIL_ADDRESS>[This appeared in the 12/03/98 "Bloomington Independent", Bloomington, Indiana. Michael Redman can be contacted at<EMAIL_ADDRESS>--<EMAIL_ADDRESS>This week's film review at http://www.indepen.com/ Film reviews archive at http://us.imdb.com/M/reviews_by?Michael%20Redman
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


amazon-chime-sdk
/
com.amazonaws.services.chime.sdk.meetings.session
/
CreateMeetingResponse
/
Meeting
Meeting
val
Meeting
:
Meeting


--- layout: page title: About header-img: "img/about-bg.png" ---
Before I thought becoming a coder, I thought like one. I am a part-time student at Flatiron and a full-time fan of making the change to loving your career. Am I often outside my comfort zone? Thankfully, yes! Comfort != Growth


{{ define "main" }}
The goal of this project is to allow everyone to explore and find open source solution for the configuration management that meets various requirements. Open source community does not have a clear solution yet and mistakes are overlooked. We want to fix it by providing overview of what we have now and what might be missing.
We are aiming for the configuration languages and patterns that helps to operate a reliable production infrastructure on scale. We explored the mandatory and optional requirements. We want to provide factual comparison on each of solution helps to solve the same problems for a fair comparison. See comparision and showcases for details!
We believe in open source and sharing. Everything in this project is free and open. It is mean to be community driven, so your help is wanted! We are all together seeking the best solution for our needs. This also means that the solution we are seeking for has to be open source as well. No hidden sales, or advertisement.
We are group of passionated people, experienced developers and SREs from different companies. We have different opinions, we maintain different cloud native open source projects like Kubernetes, CoreDNS and Thanos. However, we share the same goal. We are doing this free and for a good cause! Want to give feedback, help us or contribute? Reach us!


Omar Vega
Computer Engineering, 4th Year
I am a 4th Year, Computer Engineering Major, currently taking EECS 118


|
MPU6050 library
Library for the MPU6050, needs libraries hwlib and bmptk to work.
|
Abstract accelerometer interface class. More...
#include <abstractAccelerometer.hpp>
Public Member Functions | |
| accelerometer_interface (i2c_bus &bus, uint8_t address) | |
| Constructor abstract class. More... | |
| virtual int16_t | getAccX ()=0 |
| Abstract function to get X-axis accelerometer data. | |
| virtual int16_t | getAccY ()=0 |
| Abstract function to get Y-axis accelerometer data. | |
| virtual int16_t | getAccZ ()=0 |
| Abstract function to get Z-axis accelerometer data. | |
| virtual int | getAngleX ()=0 |
| Abstract function to get angle of X-axis. More... | |
| virtual int | getAngleY ()=0 |
| Abstract function to get angle of Y-axis. More... | |
Protected Attributes | |
| i2c_bus & | bus |
| Communication bus. | |
| uint8_t | address |
| I2C address on the bus. | |
Abstract accelerometer interface class.
This abstract class can be used to implement a I2C based accelerometer.
|
inline |
Constructor abstract class.
This constructor should be called in the initializer list of the class that implements this abstract class.
|
pure virtual |
Abstract function to get angle of X-axis.
The angle can be calculated with the accelerometer data.
Implemented in MPU6050.
|
pure virtual |
Abstract function to get angle of Y-axis.
The angle can be calculated with the accelerometer data.
Implemented in MPU6050.


{{ forms.textField({
label: 'Email Recipients All fields can use dynamic values from the submitted form fields. Reference your form fields by wrapping the field name in curly braces. If your field is name="fields[email]"
you would use: {email}
.'|t,
instructions: "Enter comma seperated email addresses to notify on form submission. Leave blank to disable notifications."|t,
name: 'notificationRecipients',
value: form.notificationRecipients,
errors: (form is defined ? form.getErrors('notificationRecipients') : null),
translatable: true,
first: true
}) }}
{{ forms.textField({
label: "Subject"|t,
instructions: "The subject line of your notification email."|t,
name: 'notificationSubject',
value: form.notificationSubject,
errors: (form is defined ? form.getErrors('notificationSubject') : null),
translatable: true,
}) }}
{{ forms.textField({
label: "Sender Name Consider the deliverability implications before you dynamically change your Sender Name."|t,
instructions: "The name of the sender of your notification email"|t,
name: 'notificationSenderName',
value: form.notificationSenderName,
errors: (form is defined ? form.getErrors('notificationSenderName') : null),
translatable: true,
}) }}
{{ forms.textField({
label: "Sender Email Address Consider the deliverability implications before you dynamically change your Sender Email Address."|t,
instructions: "The 'From' email address of your notification email"|t,
name: 'notificationSenderEmail',
value: form.notificationSenderEmail,
errors: (form is defined ? form.getErrors('notificationSenderEmail') : null),
translatable: true,
}) }}
{{ forms.textField({
label: "Reply To Email Address"|t,
instructions: "The 'Reply To' email address of your notification email"|t,
name: 'notificationReplyToEmail',
value: form.notificationReplyToEmail,
errors: (form is defined ? form.getErrors('notificationReplyToEmail') : null),
translatable: true,
}) }}


{% extends "base.html" %}
{% load url %}
{% load workstations %}
{% load reader_study_tags %}
{% load static %}
{% load meta_attr %}
{% block breadcrumbs %}
- Reader
Studies
- {{ object }}
- Statistics
{% endblock %}
{% block content %}
{{ object.title }} Statistics
Statistics per case
| DisplaySet ID |
Total score / max score |
Average score |
{% for question in object.statistics.questions %}
{{ question }} (GT) |
{% endfor %}
View case |
{% for entry in object.statistics.scores_by_case %}
| {{ entry.id }} |
{{ entry.sum }} / {{ object.statistics.max_score_cases }} |
{{ entry.avg|floatformat:4 }} |
{% for question in object.statistics.questions %}
{% get_ground_truth object entry.id question as ground_truth %}
{{ ground_truth }} |
{% endfor %}
|
{% endfor %}
Statistics per question
| Question |
Total score / max score |
Average score |
{% for entry in object.statistics.scores_by_question %}
| {{ entry.question__question_text }} |
{{ entry.score__sum }} / {{ object.statistics.max_score_questions }} |
{{ entry.score__avg|floatformat:4 }} |
{% endfor %}
{% endblock %}
{% block script %}
{{ block.super }}
{% include 'workstations/partials/session-control.html' %}
{% endblock %}


Several crews respond to house fire in single-digit temperatures
by Jaymes Langrehr, Stephanie FryerBRISTOL, Wis. - Multiple fire departments responded to a house fire in single-digit temperatures outside Sun Prairie Tuesday morning.
Dane County dispatchers said firefighters were called to a home at 2354 Branch Road in Bristol just after 6:00 a.m. The fire was put out by 6:30 a.m., but crews remain on scene monitoring for possible hot spots.
Their response came as the Madison area set a record low Tuesday morning. Some lows across southern Wisconsin dropped into single digits, with some areas below zero Tuesday morning.
"Your hand don't want to move. Your equipment doesn't want to work all the way. A little extra effort has to go into play, pushing everything out," Bill Sullivan, the assistant chief of the Sun Prairie Volunteer Fire Department said when asked about the cold.
Sullivan said crews take extra precautions to make sure the trucks and hoses do not freeze up during responses in the extreme cold. Extra crews are also brought in to help.
"Our staff need more rehab time," Sullivan said.
"That's why we will call in extra assistance, in case we need to rotate guys in more quickly than we would on a 70-degree day."
No one was hurt during the fire. A pet cat was also safe.
"The cat is doing well inside, he was kind of keeping an eye on us in there to make sure that we weren't doing too much in there," Sullivan said.


WITNESS LIST Criminal Justice Committee March 21, 2001 - 1:00P HB 656 FOR: Boyles, Sherry (TX Association Against Sexual Assault), Austin, TX Brown, Fowler Detective (Austin Police Department and City Manager's Office), Austin, TX Lawrence, Kevin Deputy Executive Director (TX Municipal Police Association), Austin, TX Registering, but not testifying: For: Jones, Claude (Lubbock Police Department), Lubbock, TX Mann, Tom (TX Police Chiefs Association), Lubbock, TX Watson, Sergeant Rick (Dallas Police Department), Dallas, TX Yborbo, Lt. Ray (San Antonio Police Department), San Antonio, TX SB 436 FOR: Boyles, Sherry (TX Association Against Sexual Assault), Austin, TX Brown, Fowler Detective - APD (Austin City Manager's Office, Austin Police Department), Austin, TX Mann, Tom (Texas Police Chief's Association), Lubbock, TX Registering, but not testifying: For: Heaton, Chris Executive Director (TX Municipal Police Association), Austin, TX Jones, Claude (Lubbock Police Department), Lubbock, TX Watson, Sergeant Rick (Dallas Police Department), Dallas, TX Ybarbo, Lt. Ray (San Antonio Police Department), San Antonio, TX SB 654 Registering, but not testifying: On: Jordan, Paul (TX DPS Special Crimes-Sex Offender Compliance Unit), Austin, TX SB 814 FOR: Boyles, Sherry (Texas Association Against Sexual Assault), Austin, TX Hill, Claire Marriage & Family Therapist (Self), Austin, TX ON: Liu, Livia Assistant District Attorney (Dallas County District Attorney's Office), Dallas, TX Registering, but not testifying: For: Gallman, Tamara (Self), Austin, TX Heaton, Chris Executive Director (Texas Municipal Police Association), Austin, TX SB 1048 ON: DeBottis, Gina Chief Prosecutor (Special Prosecution Unit), Huntsville, TX Page, Kelly Executive Director (Council on Sex Offender Treatment), Austin, TX Registering, but not testifying: On: Bozarth, Melinda (TDCJ), Austin, TX Jordan, Paul (TX DPS Special Crimes-Sex Offender Compliance Unit), Austin, TX SB 1206 Registering, but not testifying: On: Bozarth, Melinda (TDCJ), Austin, TX Jordan, Paul (TX DPS-Special Crimes-Sex Offender Compliance Unit), Austin, TX Shackelford, Wesley Senior Staff Attorney (TX Juvenile Probation Commission), Austin, TX SB 1295 FOR: Hampton, Keith Attorney (TX Criminal Defense Lawyers Association), Austin, TX ON: Granger, J.D. Assistant District Attorney (Tarrant County District Attorney's Office), Ft. Worth, TX Liu, Livia Assistant District Attorney (Dallas County District Attorney's Office), Dallas, TX Registering, but not testifying: For: Hearon, Genevieve Executive Director (Capacity for Justice), Austin, TX SB 1325 ON: Blewett, Rebecca (TX DPS - Driver License Division), Austin, TX Registering, but not testifying: On: Jordan, Paul (TX DPS Special Crimes-Sex Offender Compliance Unit), Austin, TX SB 1380 ON: Cain, Camille (Governor's Office), Austin, TX Pilot, Deborah (Self), Ft. Worth, TX Registering, but not testifying: For: Heaton, Chris Executive Director (Texas Municipal Police Association), Austin, TX Jones, Claude (Lubbock Police Department), Lubbock, TX Mann, Tom (TX Police Chiefs Association), Lubbock, TX Watson, Sergeant Rick (Dallas Police Department), Dallas, TX Yborbo, Lt. Ray (San Antonio Police Department), San Antonio, TX On: Jordan, Paul (TX DPS Special Crimes-Sex Offender Compliance Unit), Austin, TX SB 1648 FOR: Johnson, Dean Police Legal Advisor (City of Beaumont), Beaumont, TX ON: McCracken, Mindy Montford Assistant District Attorney (TX District and County Attorney's Association), Austin, TX Registering, but not testifying: On: Jordan, Paul (TX DPS Special Crimes-Sex Offender Compliance Unit), Austin, TX


do things work when not in some kubernates cluster. I have heard of some issues setting up containers, but not familiar with the details of what needs to be done. if it works normally, but not when put in a container that is supposed to work as normal, then it would be an issue with the container


This harbour is on the north coast of Oahu and is a useful spot to wait if the trade winds are particulaly strong. It is an interesting town with many craft shops.
Position 21°36.4'N, 158°07.0'W.
Call the Harbour master is you want a berth. All the slips in the marina are leased, but he may be able to find you a free space.
There is an anchorage outside the inner breakwater, on the eastern side of the main entrance. The holding is good in mud and sand.
Dinghies can be left at the temporary dock in the inner harbour.
Anchoring is limited to 72 hours.
Last updated January 2010.


I build crisp clean websites to attract attention for indivuduals and small businesses. Find out the code diving process for your future website.
Send me an email or give me a call, from there we will set up a time to meet.
I will build your website using the coding languages HTML, CSS, and JavaScript.
I will upload your site to the web for everyone to enjoy.
Hi, my name is Anthony Diorio and I'm a Freelance Front End Web Developer based in San Francisco Bay Area. Welcome to my website. After serving 8 years in the U.S. Army, I discovered my passion for coding and programming after going to school for computer science in Silicon Valley. I started off learning the C programming, and then I learned web programming. If you would like a professional looking website, I'm here to help.
Thankfully there's always something new in tech to keep me busy. Currently, I'm learning mobile development so I will be able to build you an app too. Check back often to see new services I offer.


Labantwana Ama Uber: Check Out Akpeyi’s Uber Ride
by SL SocialWhile he has been thrust into the spotlight since joining Kaizer Chiefs, Daniel Akpeyi lives a quiet life away from the field.
This could not be more evident than with his choice of car. Check it out.
So good has Akpeyi’s performances been for Amakhosi that fans have paid very little attention to the sizable absence of Itumeleng Khune.
Download The Soccer Laduma Social Media App & Earn Airtime for Selfies!
The clean sheets have been rolling in for the Nigerian gloveman and so have the plaudits from fans.
Off the field, the Nigerian international is a family man who is rooted in his Christian faith. A quick glance at Akpeyi’s Instagram page and it is clear as day that his a Christianity is something he lives by.
When it comes to his ride, Akpeyi has bucked the trend. Rather than following the glitz and glam of some of his teammates who drive flashy cars, the former Chippa united star is comfortable behind the while of his Hyundai Elantra.
If ever Akpeyi considered quitting his day job to become an Uber driver, passengers’ safety would be guaranteed as the Amakhosi star boasts a pair of the safest hands around.
Do you think Akpeyi can keep Khune on the bench and lead Chiefs to the PSL title this season?


{% extends "layout.html" %} {% block content %}
| A | B | Stranded Orientation | Index Constraint | Strand Constraint | |
|---|---|---|---|---|---|
| P | P | A within B | A same_strand_as B | ||
| N | N | A within B | A same_strand_as B | ||
| P | N | A within B | A opposite_strand_to B | ||
| N | P | A within B | A opposite_strand_to B |


My name is
:
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Made with ❤ and 🍣 in NYC by
rtimmons@
. © 2018. Use at own risk.


Russia Banned From 2020 Olympics, 2022 FIFA World Cup
by John AndahThe World Anti-Doping Agency (WADA) has handed Russia a four-year ban from all major sporting events, including the 2020 Olympic Games in Tokyo and the 2022 FIFA World Cup.
But Concise News understands that athletes who can prove they are untainted by the doping scandal will be able to compete under a neutral flag.
The executive committee of WADA made the unanimous decision on Monday in a meeting in Lausanne, Switzerland.
Russia’s ban comes after the country’s Anti Doping Agency (RUSADA) was declared non-compliant for manipulating laboratory data handed over to investigators in January 2019.
Rusada, according to WADA, has 21 days to appeal against the ban. But if Russia does so, the appeal will be referred to the Court of Arbitration for Sport (CAS).
“For too long, Russian doping has detracted from clean sport. The blatant breach by the Russian authorities of Rusada’s reinstatement conditions demanded a robust response, WADA president Sir Craig Reedie said.
“That is exactly what has been delivered.
“Russia was afforded every opportunity to get its house in order and re-join the global anti-doping community for the good of its athletes and of the integrity of sport, but it chose instead to continue in its stance of deception and denial.”


Tips for Deciding on a Research Topic
-
Read the assignment requirements carefully. If you are unsure what topic would be relevant, talk to your professor.
-
Choose a topic you find interesting.
-
Consider how others have written about your topic. Resources they have used will likely be helpful.
-
Consider your topic's scope. How broad or narrow is it?
- If your topic is too broad it may be difficult to find focused and relevant information. The topic also should be focused enough that it is meaningful to your audience.
- It may be hard to find information on a very narrow topic. If your topic is highly focused, be more flexible in your search strategy. For example, if you're interested in organic food labeling in a specific city, widen your information search to organic food labeling within the province, or the country. Also think about what topic will be meaningful to your audience. What relevance will the topic have to them?
|
TOO BROAD
Food Safety
|
|
BETTER
Impact of government regulation in Canada on food safety
|
|
TOO NARROW
History of organic labelling of pork products in the Annapolis Valley
|
|
BETTER
Labelling of organic food in Canada
|
Refining Your Topic
Once you have a broad topic in mind, these strategies will help you refine your research focus:
-
Background research can help you learn more about your topic, and may also help you refine your focus. By knowing more about your topic's background, you can develop a more effective topic and a stronger research paper.
-
Brainstorm concepts. Think of words or concepts that relate to that topic. (For example, if your topic is "polar bears," associated words might include: ice, cubs, pollution, hunting, diet, and environmental icon.)
-
Develop a research question. Once you have a broad research topic and have done some background research, develop a research question. What about this topic interests you and is likely to also engage your readers?
-
What's your general approach to the topic? Your research could, for example, use a
- historical angle (focusing on a particular time period);
- a geographical angle (focusing on a particular part of the world);
- or a sociological angle (focusing on a particular group of people).
- The angle you choose will depend largely on the nature of your research question and often on the class or the academic discipline in which you are working.
-
Start doing some exploratory, in-depth research. As you look for relevant sources, such as scholarly articles and books, refine your topic based on what you find. While examining sources, consider how others discuss the topic. How might the sources inform or challenge your approach to your research question?
-
Research is a dynamic process. Be prepared to modify or refine your topic. This is usually the sign of thoughtful and well-done research.
The topic development process below can help you to develop your thesis (your proposed answer to your research question) and to continue gather additionally needed sources.
|
TOPIC IDEAS
organic food, food labelling, food safety
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BACKGROUND RESEARCH
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TOPIC QUESTION
How has the organic food movement influenced labelling laws?
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IN-DEPTH RESEARCH
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THESIS
Differing opinions and business interests have greatly influenced food labelling laws in Canada.
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Resources to Help You Develop Your Topic:
- Your instructor, MSVU librarians, course readings, class notes, Wikipedia, and Google
- Library resources like subject-specific encyclopedias provide overviews and introductions to topics. They can also help you identify research topics and gain background knowledge
-
Subject Guides: online guides that help you identify encyclopedias, books, databases, and other materials


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Description


Whether a documented or undocumented immigrant, we understand the struggles that minorities face when moving away from home. There is a cultural clash between your own roots and the United States. Below are some links that may help promote inclusive spaces as a means of healing.
The ACLU (American Civil Liberties Union) is a free resource that provides people access to defend and preserve their individual rights and liberties. In particular, their immigrant's rights page provides information on how this organization is combating discriminiation against immigrants.


--- layout: post title: Retirement Community for LGBT Seniors date: 2011-07-21 04:18:22.000000000 -07:00 type: post published: true status: publish categories: [] tags: [] meta: _edit_last: '1' author: login: admin email<EMAIL_ADDRESS>display_name: admin first_name: Carina C. last_name: Zon ---
Oakmont is an enormous retirement community east of Santa Rosa, CA. Its developers are now building a retirement community for LGBT seniors in a luxury neighborhood of north Santa Rosa. The initiation fees and monthly fees clearly make this particular opportunity only viable for the wealthy. But I take it as progress that developers are convinced there's a big enough pool of people to make projects like this viable. I hope that its success will lead to some more affordable options being launched in the future.
Queer couples on average earn less than heterosexual counterparts, and that income gap widens for couples who raise children, for lesbian couples, and for non-white couples. The Defense of Marriage Act widens the gap further for aging, by denying access to a partner's federal pension, Medicaid long-term care benefits, and Social Security benefits. All of which adds up to an LGBT senior population with disproportionate need for affordable retirement housing.
PBS aired "A Place to Live" in June about the opening of the nation's first low-income housing project for LGBT seniors. The lottery applicants were each so emotionally invested. For some it represented the first opportunity in their lives to potentially get to be "out" in their own homes without fear of eviction. If it runs again, catch it. I enjoyed it thoroughly.
http://www.greatreporter.com/content/same-sex-couples-earn-less-heterosexuals


Pointer Toolkit provides a variety of modules to keep busy Pointers organized and new Pointers acquainted with living on campus.
Emily Wiedoff
Tim Krause
Jordan Bleu, Joe Hollman, Mitchell Butalla, Bryan Johnvin
Nick Kubley, Kierstan Leaf, Dakota Oakley
Will Robinsin, Dan Sowka


Good day!
I'm a lot on the road, it's in my nature. Often I hitchhike. I consider myself as a modern vagabond or nomad. I can do my work from anywhere and sometimes I'm not doing paid work for long times.
I enjoy company of positive and talkative people.
Don't be evil. Be yourself.
I have a good tolerance for different people and behavior.
You can be odd if you want to.
You can see what others are saying
about me at BeWelcome or CouchSurfing.
This is me on a meadow I found from 2km altitude in French alps.
Nähdään! See you!


Description
Decide whether other rules should validate given build when this rule matches the build.
Use cases
This is the way to configure if it is enough to match only at once condition or there should be matched more.
When this parameter is set to true
then there is logical
and
between current and next condition.
Warning!
This rule is validated against rule per each build


A WYSIWYG mathematical expression editor with output that is suited to computer as well as human use, and that is easier than raw LaTeX.
Anyone who wants math input that is easy for novices to enter (such as in an educational context) and/or that is readable by computers (such as in a web based calculator application).
Specifically, the needs of two target audiences have guided the development to date:
Students learning mathematics online: It is intended make it easy both for students to input and for software to validate mathematical expressions. The input interface should be simpler than LaTeX, faster than clicking through menus of symbol options, and the results should be parseable so that inputs can be symbolically understood.
Research mathematicians: It should be easier for researchers to search for mathematics. More computer-readable storage for mathematical expressions may allow search engines of the future to discern whether “H^2” is “H squared” or “degree-2 cohomology”. This project aims to make entering both of these interpretations easier than LaTeX would, while also including the information needed to distinguish them.
The output is semantically tagged. Now, you can distinguish whether dy/dx
means “derivative of y with respect to x” or “quotient of the product d times y by the product d times x”.
Also, in its default configuration it requires neither backslashes nor use of the mouse to enter expressions (though both of these are options, when needed).
The simple answer is that you could make it do so (for example, by adding appropriate “sympy” outputs to your symbols.json
).
The much better answer is that, in most cases, you shouldn’t.
If you want to process your mathematical expressions server-side, our advice is that you consume expressions from the editor as data, (for example via the “ast” syntax tree output) and evaluate them with the standard recursive process. Convenience methods exist in the GuppyDoc class for doing this in Javascript.
We have intentionally omitted any code outputs (SymPy, etc) that might get passed to a server because because such a setup almost always permits a malicious (or merely curious) user to easily take over the server.  If the significance of ().__class__.__base__.__subclasses__()
is lost on you, you definitely shouldn’t do this. Even if you understand why that is relevant, you still most likely should not do this.
Yes. Many elements are tagged with CSS classes so that you can write CSS to customise the editor’s appearance. See the style tutorial. !important.
Broadly, to integrate it with other software used for creating mathematical content, and to develop applications taking advantage of the computer-friendly storage format. See the roadmap for details.
There are two threat models we have explicitly designed against:
XSS: In anticipation of content from one user’s editor being displayed to other users, all XML documents handled by the editor are parsed by DOMParser
only and are never added to the root document.
NPM-based attacks: Many components of modern web apps are deployed using npm install, which will recursively fetch all the component’s dependencies. Rather than specify dependencies and hope that when these are resolved by NPM at install time they are not compromised, we have performed a limited audit of our dependencies and packaged them with our releases.
It comes with an on-screen keyboard module that can be used to input from a phone or tablet. Try it out here.
Yes! Type “mat” for a matrix, and “vec” for a vector
Because it is easy to get out of. When the day comes that a nicer format comes along that can be as easily and declaratively queried and transformed, it will be a simple matter to XSLT any lingering XML specimens into the new hot sauce.
Because it was there.
I truly don’t remember. /usr/share/dict/words may have played a role.
I’ve tested it on recent versions of Firefox and Chrome and some version of Safari. Also, on IE11. It didn’t work on IE11. If you have a browser for which it is broken and shouldn’t be, open an issue.
Fine. Have it your way. They are included, but optional, with a configuration option to make them required if you choose.
The planned port to HTML9 Responsive Boilerstrap JS is planned.


Salman 'Silv' Nazer
A passionate individual who always thrive to work on end to end products which develop sustainable and scalable social and technical systems to create impact in the industry
I know the correct times to act professional & when it’s alright to act informal. I have a high knowledge on a competitive level,working closely with professional players in the past. I know how to adapt to corresponding atmospheres well and enjoy being a part of new projects
My previous Managing experiences involves a wide spectrum of Teams and Companies. Each Company required different forms of managing skills
• Previously worked for: Legion eSports, Arrow eSports, Team FLIx, Insanity Creative, GameStars, TheSpark Esports.
• Worked as Management and Head of development for Insanity Creative
• Worked as Manager for Team Legion
• Worked as Manager for Team FLIx
• Worked as Community Manager for Arrow Esports
• Worked as Developer for GameStars
• Worked as Development Manager for TheSpark Esports (TSK)
• Currently working as Developer for NAFES and Vanguard.
Email<EMAIL_ADDRESS>Twitter: @ItzSilvx
Discord: Silv#2020
Focused professional having excellent technical and communication skills, and offering 6 years of experience in Computer industry. Proficient at designing and formulating test automation frameworks, writing code in various languages, feature development and implementation. Specialize in thinking outside the box to find unique solutions to difficult engineering problems.With a Masters in Python and javascript.


Working with Components¶
Note
This document is a work in progress. It’s always advisable to look through the source, if you still can’t find your answer the feature you are looking for might not be implemented. Send me and email or join the development.
A component is a container of a Maya component set. Each component is
a Python class that subclasses Component
and currently only
supports components found on Maya mesh object.
Quick example¶
This example shows how components are usually fetched within mampy.
From the API function mampy.selected()
we create a
SelectionList
containing the currently selected objects in
Maya. We then fetch the components from that list.
>>> import mampy ... >>> slist = mampy.selected() >>> components = list(slist.itercomps()) [MeshVert([u'pCube1.vtx[0]', u'pCube1.vtx[2:5]']), MeshVert([u'pCube2.vtx[0]', u'pCube2.vtx[2]'])]
As you can see a component is not a single index of a vertex, it is a
set of components belonging to a certain object. This is useful
knowledge because that means we can create components and add to them.
To create an empty component we must provide a valid Maya dagpath to
either subclasses: MeshVert
, MeshEdge
,
MeshPolygon
or MeshMap
or we can use
Component.create()
, but then we must
provide the Mayas internal int type for the component we want to
create.
>>> from maya.OpenMaya import MFn
>>> dagpath = 'pCube1'
>>> vert = mampy.Component(dagpath, MFn.kMeshVertComponent)
MeshVert('pCube1.vtx[]')
This is not the preferred way of creating components. It’s much easier and clearer to do this:
>>> dagpath = 'pCube1'
>>> vert = MeshVert(dagpath)
MeshVert('pCube1.vtx[]')
From an empty component object you can quickly get something useful by either adding indices to it or just get the complete component:
>>> vert.add([1, 2, 3])
MeshVert('pCube1.vtx[1:3]')
...
>>> vert.add(5)
MeshVert(['pCube1.vtx[1:3]', 'pCube1.vtx[5]'])
...
>>> complete = vert.get_complete()
MeshVert('pCube1.vtx[*]')
Then we can easily send the component object to a normal maya.cmds
function not how we call list()
on the Component
to
retrieve a Maya string list representing the component set:
>>> cmds.select(list(vert), r=True)
>>> cmds.ls(sl=True)
['pCube1.vtx[1:3]', 'pCube1.vtx[5]']
...
>>> cmds.select(list(complete), r=True)
>>> cmds.ls(sl=True)
['pCube1.vtx[*]']
Other ways to fetch a Component
through the API is the
mampy.get_component()
function. Now that we know how components
are constructed we can pass a Maya string list to the function:
>>> slist = cmds.ls(sl=True)
[u'pCube1.vtx[2:4]', u'pCube1.vtx[7]']
>>> comp = mampy.get_component(slist)
MeshVert([u'pCube1.vtx[2:4]', u'pCube1.vtx[7]'])
Something of note, we can’t pass more than one component into the
mampy.get_component()
function, it’s only meant to create a
single Component
object:
>>> slist = cmds.sl(sl=True)
# From the dagpaths we can see that we are working with two objects.
[u'pCube1.vtx[2:4]', u'pCube1.vtx[7]', u'pCube2.vtx[5]']
>>> comp = mampy.get_component(slist)
TypeError: More than one object in dagpath.
The API documentation provides additional information
about the different Component
functions and attributes.


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Independent Rear Suspension
1968 Mustang
December 2015 // Maple Valley, WA
One of the mentors in my high school robotics club approached me junior year about his project car: a 1968 Mustang. He was converting the original rear suspension to an independent rear suspension from a 1976 Jaguar XJ12. My role was to create the CAD and technical drawings for the custom frame. In Autodesk Inventor, I took his wood mock up and realized it using welded assemblies, polyurethane bearings, the Jaguar linkages, and shocks. Care was taken to guarantee the design would not interfere with the existing body in addition to ensuring the car resting height was optimal for handling.
The following summer the CAD was fabricated and installed in the Mustang. Without fault, the design has been
road-tested under harsh, competitive autocross conditions. The customer, a Boeing Technical Fellow, said, The
performance exceeded expectations and the car (1FSTPNY) has shredded pavements from Pacific Raceway to
Bremerton Autocross
.
Furthermore, he sent the finished report to the source of inspiration for him, Peter Brock from the Original Venice Crew. Brock wrote,
Really impressive!  That’s a major project to take on with a now rare car that could have been destroyed in the hands of someone with lots of enthusiasm but no talent!
tags: CAD, mechanical, technical drawings


I am a senior at Rutgers University computer science major. I am looking for a programmer internship, part-time or full-time job. I have experience with Java, C, Python, and C ++ programming languages. I am familiar to use version control, such as Git, bitbucket, and Github.
Updating...
Updating...
Updating...
Updating...
DEPARTMENT GPA: 4.0 | CUMULATIVE GPA: 3.7
Before I came to America, I had learned about patient and teamwork from Korea army, and also learned a lot of paperwork and operation as an administrative clerk. When I studied for the ESL program, I got to know the programming by chance. I started to study C programming by myself. During that time, I felt achievement in writing programs in person and wanted to challenge learning programming. Therefore, I entered to Bergen Community College and graduated with a Major GPA of 4.0 (overall 3.7) and honor society of Phi Theta Kappa. While I was studying in college, I became more passionate about computer science. It made me decided to transfer to Rutgers University to expand my knowledge of this part. I have only one semester left until graduation. At Rutgers, I designed and developed a website using AWS and MySQL with team members as a final project from Database course. Additionally, I understood about Linux system with multi-process and multi-thread through the System Programming course. Using these concepts, I developed programs that include sorted enormous CSV files and banking system. Lastly, I learned and understood about security through the Computer Security course and developed a Java encrypted program using RSA and DES.


Ryan
McGreevy
Home
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Ryan McGreevy
, software developer and scientist.
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|
ArkGameFrame
v0.1.0
ArkGameFraime is a lightweight, fast, scalable, distributed module and plugin framework to create a game server easily. Greatly inspired by OGRE and Bigworld.
|
Variables | |
| const std::string | PROPERTY_ACCOUNT = "Account" |
| const std::string | PROPERTY_VERIFIED = "Verified" |
| const std::string PROPERTY_ACCOUNT = "Account" |
| const std::string PROPERTY_VERIFIED = "Verified" |


"x" "1" "HIRAI,O, MIYAMAE,Y, HATTORI,Y, TAKASHIMA,M, MIYAMOTO,A, ZAIZEN,K ANDMINE,Y, MICROBIAL MUTAGENICITY AND IN VITRO CHROMOSOME ABERRATION INDUCTION BYFK973, A NEW ANTITUMOR AGENT, MUTAT. RES. 324(1-2):43- __ 50, 1994"


University is focused on learning things out a textbook, but where does that leave your everyday skills?
keyboard_arrow_downKnack at Western is a workshop to help students gain experience teaching everyday subjects to absolute beginners, and help those beginners walk away with a tangible new skill.
We want to create a 'maker' culture at Western and provide a learning experience unlike anything you can find in a classroom.
If you're looking to learn a new, tangible skill that's outside of something could learn in any class, come to Knack's very first event! We will be hosting a variety of skill workshops including game development, tea brewing, juggling and even DJing.
The cost to attend the event is $4, and will include full acess to all the workshops (including a brakfast workishop) and lunch!
Oh yeah, and the first 50 people people to sign up on our Tilt get entered into a draw for a $25 gift card from Hospitality Services (that's like 14 coffees!).
Sign Up Now!This workshop is run by students for students. It consists of sessions running anywhere from one to two hours. Your audience will get hands-on training for a new skill. Teaching at Knack at Western will give you first-hand exposure to running workshops, public speaking, but most importantly, conveying new concepts and skills to your cohorts. We will provide the space, time, audience and even materials needed for your workshop session.
Apply to Teach It.You can teach any skill that you think is cool. We know that's general so here are some examples:How to program a quick game
How to juggle
How to knit
How to do stand-up comedy
How to color (I still struggle to stay inside the lines)
Most likely the answer is yes! The most import thing is for you to apply! You can also message us on our Facebook Page and we can guide you in the right direction!
Yes, absolutely! In fact, we encourage this. Ideally everyone who runs workshops will also attend others.
Yup. We'll be providing you with a lunch during the event. If you have any dietary restrictions it's important that you fill out our Learn It. form.
Each session will be between 30 minutes and two hours.
No, however we encourage you to step outside of your comfort zone and try something new :).
Knack at Western will be hosted in Claudette MacKay-Lassonde Pavilion (CMLP) and Spencer Engineering Building (SEB). Specific rooms will be announced soon!
If you are running a workshop, you should bring the basic materials that you need for your workshop. We can provide you with some of the things that you need for your workshop, however. All of this can be worked out in our application form
If you are attending a workshop, we will provide a list of anything you will need to bring for each workshop. For example, for a yoga workshop bring a yoga mat!


We use Minitest for the Ruby agent. The following command runs the unit tests without Rails:
bundle exec rake test
You can also run a single unit test file like this:
bundle exec ruby test/new_relic/agent_test.rb
And to run a single test within that file (note that when using the -n argument, you can either supply the entire test name as a string or a partial name as a regex):
bundle exec ruby test/new_relic/agent_test.rb -n /test_shutdown/
You can run against a specific Rails version only by passing the version name (which should match the name of a subdirectory in test/environments) as an argument to the test:env rake task, like this:
bundle exec rake test:env[rails51]
In CI, these unit tests are run against all supported major.minor versions of Rails (as well as with Rails absent entirely). The test/environments directory contains dummy Rails apps for each supported Rails versions. You can also locally run tests against all versions of Rails supported by your current Ruby version with:
bundle exec rake test:env
The file parameter can be added to the test:env invocation to run a specific unit file. It can be exact file name, or a wildcard pattern. Multiple file patterns can be specified by separating with a comma with no spaces surrounding:
bundle exec rake test:env[rails60] file=test/new_relic/agent/distributed_tracing/* # everything in this folder
bundle exec rake test:env[rails60] file=test/new_relic/agent/tracer_state_test.rb # single file
bundle exec rake test:env[rails60] file=test/new_relic/agent/*_test.rb # all *_test.rb files in this folder
bundle exec rake test:env[rails60] file=test/new_relic/agent/distributed_tracing/*,test/new_relic/agent/datastores/* # all files in two folders


Book of Shadows: Blair Witch 2 * * * out of * * * * Starring: Steven Baker Turner, Tristine Skyler, Kim Director, Erica Leerhsen, Jeffrey Donovan, Lanny Flaterhy. Directed by: Joe Berlinger Rated R: strong violence, blood, sexuality, nudity, language, drug use. Running Time: 90 minutes
After the surprise $140 million dollar hit "The Blair Witch Project" a sequel was inevitable. Even though 65% of the audience who viewed this masterpiece, most hated it.  After I heard talks of a sequel, I wanted to kill whoever was making up the rumors, until I found out they were true, and now that the sequel has come out I must say I'm quite surprised at how well-made the movie was.
Opening with a clever sequence, of people praising and dissing on "The Blair Witch Project" we meet Jeff Patterson, a Blair Witch fantatic who sells stuff in his hometown in Maryland, stickmen, blair witch t-shirts, you get the point. He takes four people out into the woods on a journey known as "The Blair Witch Hunt", Kim, a smart gothic psychic, Erica a Wiccan witch, Tristen and Stephen a couple who are obsessed with Blair Witch was well, and Tristen is expecting a child, but obviously doesn't want to keep it.
After spending the night in the woods, they wake up to find themselves covered in shreds of paper, which is the work of Tristen and Stephen, not knowing what they did for five hours, the five people retreat to Jeff's home (an old factory) and view the tapes of what they did, what they find out is utterly shocking, and surprising, though I thought the film goes into too much of a slasher pic type of ending. Until then though, the film is quite clever and shocking, and very very gory. What the first film accomplished in Hollywood was that you didn't need gore, violence or monsters to scare you.
"Book of Shadows: Blair Witch 2" is a decieving title, there is no Book of Shadows, and the movie really has nothing to do with the first, except for Blair Witch herself. Sadly though she does not make a star-studded appearance, and really there is not any scares in the film at all, a few shlocks here and there, with a pumping rock soundtrack to back it up, but narely a scare is in the film. One would have hoped for a better "Book of Shadows" but Joe Berlinger does what he can with the film, and has some very good direction.
The stars in the first movie were memorable for not having a script, and adlibbing most of their stuff, in here the script is written out and it is quite obvious, the standout of the film is Kim Director as the gothic girl, she takes on her role and takes over the screen in the process. The rest of the cast is ok, but they aren't anything compared to Kim. There is some flaws in the movie, as well as some plot holes for those who didn't visit the website. But all in all "Book of Shadows: Blair Witch 2" is one to be visited, maybe more than once.
Reviewed by Brandon Herring 10/27/00
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


The Diagnosis Dilemma
Cassava is the most widely grown food crop in Uganda, and Africa at large, and is source of carbohydrates. However, Cassava has one major weakness. It's susceptible to various cassava diseases. We are working on an automated method, using current state of the art Deep learning techniques to make it easier for farmers and researchers to detect and diagnose these diseases faster.


Rails, is an open source web application framework which runs via the Ruby programming language. It is a full-stack framework: it allows creating pages and applications that gather information from the web server, talk to or query the database, and render templates out of the box. As a result, Rails features a routing system that is independent of the web server.
Like many web frameworks, Ruby on Rails uses the model view controller (MVC) pattern to organize application programming.
In a default configuration, a model in the Ruby on Rails framework maps to a table in a database, and a Ruby file. For example, a model class User will usually be defined in the file user.rb in the app/models directory, and is linked to the table users in the database. Developers can choose any model name, file name or database table name. But this is not common practice and usually discouraged according to the "convention over configuration" philosophy.


Converts files to and from flobs. A flob is a file that was read into binary in integer-mode as little endian, saved as the single element of a named list (where the name is the extension of the original file) and then serialized before being coerced into a blob. Flobs are useful for writing and reading files to and from databases.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | err, checkr, blob, tools |
| Suggests: | covr, spelling, testthat |
| Published: | 2018-11-14 |
| Author: | Joe Thorley [aut, cre] |
| Maintainer: | Joe Thorley <joe at poissonconsulting.ca> |
| BugReports: | https://github.com/poissonconsulting/flobr/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/poissonconsulting/flobr |
| NeedsCompilation: | no |
| Language: | en-CA |
| Materials: | README NEWS |
| CRAN checks: | flobr results |
| Reference manual: | flobr.pdf |
| Package source: | flobr_0.1.0.tar.gz |
| Windows binaries: | r-devel: flobr_0.1.0.zip, r-release: flobr_0.1.0.zip, r-oldrel: flobr_0.1.0.zip |
| OS X binaries: | r-release: flobr_0.1.0.tgz, r-oldrel: flobr_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=flobr to link to this page.


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Disney Sets New Batch of Release Dates, Including For New Marvel Movies in 2023
by Ben PearsonSome people say the holiday season is the most wonderful time of the year. Unfortunately, those people are fools. For if anyone ever makes such a claim to me, I loudly scoff in their faces and quickly set ’em straight: the actual most wonderful time of the year is whenever a major movie studio drops a batch of new release dates without any titles attached to them. And today’s my lucky day, folks, because The Walt Disney Company has just reorganized its upcoming release schedule, and there are Untitled Marvel Movies as far as the eye can see. *sniffs* It’s beautiful.
Before we get to the Marvel stuff, Deadline points out that Matthew Vaughn’s The King’s Man has been bumped from Valentine’s Day 2020 all the way back to September 18, 2020, meaning it will face off against Paramount’s action film Without Remorse. Meanwhile, Ben Affleck and Ana de Armas’s Deep Water will open on November 13, 2020.
Also worth noting is that Disney has given a release date to The Last Duel, which stars Matt Damon, Adam Driver, Affleck, and Jodie Comer and was written by Damon and Affleck. There was some question as to whether Disney would make this movie given its subject matter, but now it’s official: Ridley Scott’s period piece will open in limited release on December 25, 2020 and then go wide on January 8, 2021.
You can head over to Deadline to get into all of the nitty gritty details about the rest of the studio’s new release dates and the dates for a bunch of untitled Disney and Fox titles, but I know why you’re all here, so let’s jump ahead a couple of years, shall we?
Marvel Movies
Here are the new dates (and yes, all of them are for untitled Marvel films):
October 7, 2022
February 17, 2023
May 5, 2023
July 28, 2023
November 3, 2023
We obviously aren’t sure about what those titles are going to be, but that’s not going to stop us from guessing. The bolded titles below are confirmed for those release dates, but the rest will be our speculation:
Black Widow – May 1, 2020
The Eternals – November 6, 2020
Shang-Chi and the Legend of the Ten Rings – February 21, 2021
Doctor Strange in the Multiverse of Madness – May 7, 2021
Spider-Man: Far From Home sequel – July 16, 2021
Thor: Love and Thunder – November 5, 2021
Deadpool 3 – February 18, 2022
Black Panther 2 – May 6, 2022
Ant-Man 3 – July 29, 2022
Blade – October 7, 2022
Captain Marvel 2 – February 17, 2023
Guardians of the Galaxy Vol. 3 – May 5, 2023
Fantastic Four – July 28, 2023
Rebooted X-Men – November 3, 2023


{% extends "app/layout.html" %} {% block inner_content %} {{ readme|markdown }}
Generally triggered by double click prevention, but could be triggered yourself


{# # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -#} {% extends "email/_base/body.html" %} {% block content %}
{% trans username=username %}Someone, perhaps you, has made a password reset request for your PyPI account '{{ username }}'.{% endtrans %}
{% trans href=request.route_url('accounts.reset-password', _query={'token': token}) %}If you wish to proceed with this request, click to reset your password.{% endtrans %}
{% trans n_hours=n_hours %}This link will expire in {{ n_hours }} hour.{% pluralize %}This link will expire in {{ n_hours }} hours.{% endtrans %}
{% trans %}If you did not make this request, you can safely ignore this email.{% endtrans %}
{% endblock %}


Need to display item or set of content composed of different elements whose size or supported actions vary.
Cards are a convenient means of displaying content composed of different elements. They’re also well-suited for showcasing elements whose size or supported actions vary, like photos with captions of variable length.
A card can be used with any of the optional card sub-elements including:
Additionally, a card may contain other components such as search, lists, icons, and images.
Standard card with content
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do tempor incididunt ut labore et dolore magna aliqua. Ut enim ad
In special cases, cards may contain form elements, like the login card. However, in most sitautions, we recommend using the Card Over full page layout for forms.
Cards support many rich components, including our management list. When adding multiple lists to a card, seperate them using mat-divider and consider adding matSubheader.
Owner
Description
API Key
Last Updated
Created
Owner
Description
API Key
Last Updated
Created
In this example, notice the search component in the top left. Also, using the flex model, you can simulate columns by using the same layout on each row. See the management list for more implementation details.
Item Description
Firstname Lastname Apr 14, 2016 12:32 PMItem Description
Firstname Lastname Apr 14, 2016 12:32 PMImages displayed within cards inherit styling which removes margin and padding, depending on where the imgae is positioned within the card. Notice if the image is first it has proper rounded corners.
Examples are leveraging the following special image elements:
mat-card-sm-image
mat-card-md-image


Security model¶
Corda has been designed from the ground up to implement a global, decentralised database where all nodes are assumed to be untrustworthy. This means that each node must actively cross-check each other’s work to reach consensus amongst a group of interacting participants.
The security model plays a role in the following areas:
- Identity: Corda is designed for semi-private networks in which admission requires obtaining an identity signed by a root authority. This assumption is pervasive – the flow API provides messaging in terms of identities, with routing and delivery to underlying nodes being handled automatically. See sections 3.2 of the Technical white paper for further details on identity and the permissioning service.
- Notarisation: pluggable notaries and algorithms offering different levels of trust. Notaries may be validating or non-validating. A validating notary will resolve and fully check transactions they are asked to deconflict. Without the use of any other privacy features, they gain full visibility into every transaction. On the other hand, non-validating notaries assume transaction validity and do not request transaction data or their dependencies beyond the list of states consumed (and thus, their level of trust is much lower and exposed to malicious use of transaction inputs). From an algorithm perspective, Corda currently provides a distributed notary implementation that uses Raft.
Note
Future notary algorithms may include BFT and hardware assisted non-BFT algorithms (where non-BFT algorithms are converted into a more trusted form using remote attestation and hardware protection).
- Authentication, authorisation and entitlements: Network permissioning, including node to node authentication, is performed using TLS and certificates. See Network permissioning for further detail.
Warning
API level authentication (RPC, Web) is currently simple username/password for demonstration purposes and will be revised. Similarly, authorisation is currently based on permission groups applied to flow execution. This is subject to design review with views to selecting a proven, mature entitlements solution.
Privacy techniques
Partial data visibility: transactions are not globally broadcast as in many other systems.
Transaction tear-offs: Transactions are structured as Merkle trees, and may have individual subcomponents be revealed to parties who already know the Merkle root hash. Additionally, they may sign the transaction without being able to see all of it.
See Transaction tear-offs for further detail.
Multi-signature support: Corda uses composite keys to support scenarios where more than one key or party is required to authorise a state object transition.
Note
Future privacy techniques will include key randomisation, graph pruning, deterministic JVM sandboxing and support for secure signing devices. See sections 10 and 13 of the Technical white paper for detailed descriptions of these techniques and features.