| PostgreSQL 9.6.2 Documentation | |||
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| Prev | Up | Chapter 7. Queries | Next |
WITH provides a way to write auxiliary statements for use in a larger query. These statements, which are often referred to as Common Table Expressions or CTEs, can be thought of as defining temporary tables that exist just for one query. Each auxiliary statement in a WITH clause can be a SELECT, INSERT, UPDATE, or DELETE; and the WITH clause itself is attached to a primary statement that can also be a SELECT, INSERT, UPDATE, or DELETE.
The basic value of SELECT in WITH is to break down complicated queries into simpler parts. An example is:
WITH regional_sales AS ( SELECT region, SUM(amount) AS total_sales FROM orders GROUP BY region ), top_regions AS ( SELECT region FROM regional_sales WHERE total_sales > (SELECT SUM(total_sales)/10 FROM regional_sales) ) SELECT region, product, SUM(quantity) AS product_units, SUM(amount) AS product_sales FROM orders WHERE region IN (SELECT region FROM top_regions) GROUP BY region, product;
which displays per-product sales totals in only the top sales regions. The WITH clause defines two auxiliary statements named regional_sales and top_regions, where the output of regional_sales is used in top_regions and the output of top_regions is used in the primary SELECT query. This example could have been written without WITH, but we'd have needed two levels of nested sub-SELECTs. It's a bit easier to follow this way.
The optional RECURSIVE modifier changes WITH from a mere syntactic convenience into a feature that accomplishes things not otherwise possible in standard SQL. Using RECURSIVE, a WITH query can refer to its own output. A very simple example is this query to sum the integers from 1 through 100:
WITH RECURSIVE t(n) AS ( VALUES (1) UNION ALL SELECT n+1 FROM t WHERE n < 100 ) SELECT sum(n) FROM t;
The general form of a recursive WITH query is always a non-recursive term, then UNION (or UNION ALL), then a recursive term, where only the recursive term can contain a reference to the query's own output. Such a query is executed as follows:
Recursive Query Evaluation
Evaluate the non-recursive term. For UNION (but not UNION ALL), discard duplicate rows. Include all remaining rows in the result of the recursive query, and also place them in a temporary working table.
So long as the working table is not empty, repeat these steps:
Evaluate the recursive term, substituting the current contents of the working table for the recursive self-reference. For UNION (but not UNION ALL), discard duplicate rows and rows that duplicate any previous result row. Include all remaining rows in the result of the recursive query, and also place them in a temporary intermediate table.
Replace the contents of the working table with the contents of the intermediate table, then empty the intermediate table.
Note: Strictly speaking, this process is iteration not recursion, but RECURSIVE is the terminology chosen by the SQL standards committee.
In the example above, the working table has just a single row in each step, and it takes on the values from 1 through 100 in successive steps. In the 100th step, there is no output because of the WHERE clause, and so the query terminates.
Recursive queries are typically used to deal with hierarchical or tree-structured data. A useful example is this query to find all the direct and indirect sub-parts of a product, given only a table that shows immediate inclusions:
WITH RECURSIVE included_parts(sub_part, part, quantity) AS ( SELECT sub_part, part, quantity FROM parts WHERE part = 'our_product' UNION ALL SELECT p.sub_part, p.part, p.quantity FROM included_parts pr, parts p WHERE p.part = pr.sub_part ) SELECT sub_part, SUM(quantity) as total_quantity FROM included_parts GROUP BY sub_part
When working with recursive queries it is important to be sure that the recursive part of the query will eventually return no tuples, or else the query will loop indefinitely. Sometimes, using UNION instead of UNION ALL can accomplish this by discarding rows that duplicate previous output rows. However, often a cycle does not involve output rows that are completely duplicate: it may be necessary to check just one or a few fields to see if the same point has been reached before. The standard method for handling such situations is to compute an array of the already-visited values. For example, consider the following query that searches a table graph using a link field:
WITH RECURSIVE search_graph(id, link, data, depth) AS ( SELECT g.id, g.link, g.data, 1 FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1 FROM graph g, search_graph sg WHERE g.id = sg.link ) SELECT * FROM search_graph;
This query will loop if the link relationships contain cycles. Because we require a "depth" output, just changing UNION ALL to UNION would not eliminate the looping. Instead we need to recognize whether we have reached the same row again while following a particular path of links. We add two columns path and cycle to the loop-prone query:
WITH RECURSIVE search_graph(id, link, data, depth, path, cycle) AS ( SELECT g.id, g.link, g.data, 1, ARRAY[g.id], false FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1, path || g.id, g.id = ANY(path) FROM graph g, search_graph sg WHERE g.id = sg.link AND NOT cycle ) SELECT * FROM search_graph;
Aside from preventing cycles, the array value is often useful in its own right as representing the "path" taken to reach any particular row.
In the general case where more than one field needs to be checked to recognize a cycle, use an array of rows. For example, if we needed to compare fields f1 and f2:
WITH RECURSIVE search_graph(id, link, data, depth, path, cycle) AS ( SELECT g.id, g.link, g.data, 1, ARRAY[ROW(g.f1, g.f2)], false FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1, path || ROW(g.f1, g.f2), ROW(g.f1, g.f2) = ANY(path) FROM graph g, search_graph sg WHERE g.id = sg.link AND NOT cycle ) SELECT * FROM search_graph;
Tip: Omit the ROW() syntax in the common case where only one field needs to be checked to recognize a cycle. This allows a simple array rather than a composite-type array to be used, gaining efficiency.
Tip: The recursive query evaluation algorithm produces its output in breadth-first search order. You can display the results in depth-first search order by making the outer query ORDER BY a "path" column done in this way.
A helpful trick for testing queries when you are not certain if they might loop is to place a LIMIT in the parent query. For example, this query would loop forever without the LIMIT:
WITH RECURSIVE t(n) AS ( SELECT 1 UNION ALL SELECT n+1 FROM t ) SELECT n FROM t LIMIT 100;
This works because PostgreSQL's implementation evaluates only as many rows of a WITH query as are actually fetched by the parent query. Using this trick in production is not recommended, because other systems might work differently. Also, it usually won't work if you make the outer query sort the recursive query's results or join them to some other table, because in such cases the outer query will usually try to fetch all of the WITH query's output anyway.
A useful property of WITH queries is that they are evaluated only once per execution of the parent query, even if they are referred to more than once by the parent query or sibling WITH queries. Thus, expensive calculations that are needed in multiple places can be placed within a WITH query to avoid redundant work. Another possible application is to prevent unwanted multiple evaluations of functions with side-effects. However, the other side of this coin is that the optimizer is less able to push restrictions from the parent query down into a WITH query than an ordinary subquery. The WITH query will generally be evaluated as written, without suppression of rows that the parent query might discard afterwards. (But, as mentioned above, evaluation might stop early if the reference(s) to the query demand only a limited number of rows.)
The examples above only show WITH being used with SELECT, but it can be attached in the same way to INSERT, UPDATE, or DELETE. In each case it effectively provides temporary table(s) that can be referred to in the main command.
You can use data-modifying statements (INSERT, UPDATE, or DELETE) in WITH. This allows you to perform several different operations in the same query. An example is:
WITH moved_rows AS ( DELETE FROM products WHERE "date" >= '2010-10-01' AND "date" < '2010-11-01' RETURNING * ) INSERT INTO products_log SELECT * FROM moved_rows;
This query effectively moves rows from products to products_log. The DELETE in WITH deletes the specified rows from products, returning their contents by means of its RETURNING clause; and then the primary query reads that output and inserts it into products_log.
A fine point of the above example is that the WITH clause is attached to the INSERT, not the sub-SELECT within the INSERT. This is necessary because data-modifying statements are only allowed in WITH clauses that are attached to the top-level statement. However, normal WITH visibility rules apply, so it is possible to refer to the WITH statement's output from the sub-SELECT.
Data-modifying statements in WITH usually have RETURNING clauses (see Section 6.4), as shown in the example above. It is the output of the RETURNING clause, not the target table of the data-modifying statement, that forms the temporary table that can be referred to by the rest of the query. If a data-modifying statement in WITH lacks a RETURNING clause, then it forms no temporary table and cannot be referred to in the rest of the query. Such a statement will be executed nonetheless. A not-particularly-useful example is:
WITH t AS ( DELETE FROM foo ) DELETE FROM bar;
This example would remove all rows from tables foo and bar. The number of affected rows reported to the client would only include rows removed from bar.
Recursive self-references in data-modifying statements are not allowed. In some cases it is possible to work around this limitation by referring to the output of a recursive WITH, for example:
WITH RECURSIVE included_parts(sub_part, part) AS ( SELECT sub_part, part FROM parts WHERE part = 'our_product' UNION ALL SELECT p.sub_part, p.part FROM included_parts pr, parts p WHERE p.part = pr.sub_part ) DELETE FROM parts WHERE part IN (SELECT part FROM included_parts);
This query would remove all direct and indirect subparts of a product.
Data-modifying statements in WITH are executed exactly once, and always to completion, independently of whether the primary query reads all (or indeed any) of their output. Notice that this is different from the rule for SELECT in WITH: as stated in the previous section, execution of a SELECT is carried only as far as the primary query demands its output.
The sub-statements in WITH are executed concurrently with each other and with the main query. Therefore, when using data-modifying statements in WITH, the order in which the specified updates actually happen is unpredictable. All the statements are executed with the same snapshot (see Chapter 13), so they cannot "see" one another's effects on the target tables. This alleviates the effects of the unpredictability of the actual order of row updates, and means that RETURNING data is the only way to communicate changes between different WITH sub-statements and the main query. An example of this is that in
WITH t AS ( UPDATE products SET price = price * 1.05 RETURNING * ) SELECT * FROM products;
the outer SELECT would return the original prices before the action of the UPDATE, while in
WITH t AS ( UPDATE products SET price = price * 1.05 RETURNING * ) SELECT * FROM t;
the outer SELECT would return the updated data.
Trying to update the same row twice in a single statement is not supported. Only one of the modifications takes place, but it is not easy (and sometimes not possible) to reliably predict which one. This also applies to deleting a row that was already updated in the same statement: only the update is performed. Therefore you should generally avoid trying to modify a single row twice in a single statement. In particular avoid writing WITH sub-statements that could affect the same rows changed by the main statement or a sibling sub-statement. The effects of such a statement will not be predictable.
At present, any table used as the target of a data-modifying statement in WITH must not have a conditional rule, nor an ALSO rule, nor an INSTEAD rule that expands to multiple statements.


The zoom is by default rendered in the window viewport. You can also render your image in any element of the DOM, or any custom coordinates with the container
option.

My article...

If you don’t already have an element in your DOM to specify the position of the zoom, you can pass an object with the following properties as number
s:
mediumZoom('img', {
container: {
width: 720,
height: 480,
top: 64,
bottom: 64,
right: 0,
left: 0,
},
})
These properties behave very much like Element.getBoundingClientRect()
. They will get merged with the default ones so you don’t need to specify all of them.
The default width
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| Know ye not, brethren, (for I speak to them that know the law,) how that the law hath dominion over a man as long as he liveth?
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| ᏝᏍᎪ ᏱᏥᎦᏔᎭ, ᎠᏓᎵᏅᏟ, (ᏗᎧᎿᎭᏩᏛᏍᏗᏰᏃ ᎠᏂᎦᏔᎯ ᎦᏥᏬᏁᏗᎭ,) ᎾᏍᎩ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎤᎾᏝᎥ ᏴᏫ ᏂᎪᎯᎸ ᎡᎲᎢ?
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Tla-s-go yi-tsi-ga-ta-ha, a-da-li-nv-tli, (di-ka-hna-wa-dv-s-di-ye-no a-ni-ga-ta-hi ga-tsi-wo-ne-di-ha,) na-s-gi di-ka-hna-wa-dv-s-di u-na-tla-v yv-wi ni-go-hi-lv e-hv-i?
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| For the woman which hath an husband is bound by the law to her husband so long as he liveth; but if the husband be dead, she is loosed from the law of her husband.
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| ᎠᎨᏴᏰᏃ ᏥᏓᏤᎰᎢ, ᏗᎧᎿᎭᏩᏛᏍᏗ ᎤᏚᏓᎸᏙ ᎤᏰᎯ ᎤᎾᏁᎳᏗᏍᏗᏱ ᎢᎪᎯᏛ ᎠᎴᏂᏙᎲ ᎤᏰᎯ; ᎤᏰᎯᏍᎩᏂ ᎤᏲᎱᏒᎯ ᏱᎩ, ᎤᏚᏓᎴᏛ ᎨᏐ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎤᏚᏓᎸᏛ ᎤᏰᎯ ᎤᎾᏁᎳᏗᏍᏗᏱ.
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A-ge-yv-ye-no tsi-da-tse-ho-i, di-ka-hna-wa-dv-s-di u-du-da-lv-do u-ye-hi u-na-ne-la-di-s-di-yi i-go-hi-dv a-le-ni-do-hv u-ye-hi; u-ye-hi-s-gi-ni u-yo-hu-sv-hi yi-gi, u-du-da-le-dv ge-so di-ka-hna-wa-dv-s-di u-du-da-lv-dv u-ye-hi u-na-ne-la-di-s-di-yi.
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| So then if, while her husband liveth, she be married to another man, she shall be called an adulteress: but if her husband be dead, she is free from that law; so that she is no adulteress, though she be married to another man.
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| ᎾᏍᎩ ᎢᏳᏍᏗ, ᎢᏳᏃ ᎠᏏᏉ ᎡᎲ ᎤᏰᎯ, ᏅᏩᏓᎴ ᎠᏍᎦᏯ ᏱᏚᎾᏤᏅ, ᎠᏓᏲᏁᎯ ᎠᎪᏎᎮᏍᏗ; ᎢᏳᏍᎩᏂ ᎤᏰᎯ ᎤᏲᎱᏒᎯ ᏱᎩ, ᎤᏚᏓᎴᏛ ᎨᏐ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎤᏚᏓᎸᏛᎢ; ᎾᏍᎩᏃ ᎥᏝ ᎠᏓᏲᏁᎯ ᏱᎩ, ᎤᏁᎳᎩ ᏅᏩᏓᎴ ᎠᏍᎦᏯ ᏱᏓᎾᏤᎭ.
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Na-s-gi i-yu-s-di, i-yu-no a-si-quo e-hv u-ye-hi, nv-wa-da-le a-s-ga-ya yi-du-na-tse-nv, a-da-yo-ne-hi a-go-se-he-s-di; i-yu-s-gi-ni u-ye-hi u-yo-hu-sv-hi yi-gi, u-du-da-le-dv ge-so di-ka-hna-wa-dv-s-di u-du-da-lv-dv-i; na-s-gi-no v-tla a-da-yo-ne-hi yi-gi, u-ne-la-gi nv-wa-da-le a-s-ga-ya yi-da-na-tse-ha.
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| Wherefore, my brethren, ye also are become dead to the law by the body of Christ; that ye should be married to another, even to him who is raised from the dead, that we should bring forth fruit unto God.
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| ᎾᏍᎩ ᎢᏳᏍᏗ ᎢᏓᎵᏅᏟ ᏂᎯ ᎾᏍᏉ ᏗᏥᏲᎱᏒᎯ ᏂᏣᎵᏍᏔᏅ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎤᎬᏩᎵ, ᎦᎶᏁᏛ ᎠᏰᎸ ᎢᏳᏩᏂᏌᏛ; ᎾᏍᎩ ᏅᏩᏓᎴ ᏗᏣᏨᏍᏗᏱ ᎠᏰᎸᏒᎩ, ᎾᏍᎩ ᎠᏲᎱᏒ ᏣᎦᎴᏔᏅᎯ ᎨᏒᎢ, ᎾᏍᎩ ᎤᎦᏔᏔᏅᎯ ᎡᏗᎾᏄᎪᏫᏎᏗᏱ ᎤᏁᎳᏅᎯ.
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Na-s-gi i-yu-s-di i-da-li-nv-tli ni-hi na-s-quo di-tsi-yo-hu-sv-hi ni-tsa-li-s-ta-nv di-ka-hna-wa-dv-s-di u-gv-wa-li, Ga-lo-ne-dv a-ye-lv i-yu-wa-ni-sa-dv; na-s-gi nv-wa-da-le di-tsa-tsv-s-di-yi a-ye-lv-sv-gi, na-s-gi a-yo-hu-sv tsa-ga-le-ta-nv-hi ge-sv-i, na-s-gi u-ga-ta-ta-nv-hi e-di-na-nu-go-wi-se-di-yi U-ne-la-nv-hi.
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| For when we were in the flesh, the motions of sins, which were by the law, did work in our members to bring forth fruit unto death.
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| ᎤᏇᏓᎸᏉᏰᏃ ᎠᏏ ᏥᏕᎲᎢ, ᎠᏍᎦᏅᎢᏍᏗ ᎨᏒ ᎤᏚᎸᏅᎥᏍᎬᎢ, ᎾᏍᎩ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎢᏳᏩᏂᏌᏛ ᎨᏒᎢ, ᎾᏍᎩ ᏚᎸᏫᏍᏓᏁᎲᎩ ᏗᏗᏰᎸ ᎤᏚᏓᏕᏫᏒᎢ ᎤᎦᏔᏔᏅᎯ ᎠᏲᎱᎯᏍᏗ ᎨᏒ ᎡᏗᎾᏄᎪᏫᏎᏗᏱ.
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U-que-da-lv-quo-ye-no a-si tsi-de-hv-i, a-s-ga-nv-i-s-di ge-sv u-du-lv-nv-v-s-gv-i, na-s-gi di-ka-hna-wa-dv-s-di i-yu-wa-ni-sa-dv ge-sv-i, na-s-gi du-lv-wi-s-da-ne-hv-gi di-di-ye-lv u-du-da-de-wi-sv-i u-ga-ta-ta-nv-hi a-yo-hu-hi-s-di ge-sv e-di-na-nu-go-wi-se-di-yi.
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| But now we are delivered from the law, that being dead wherein we were held; that we should serve in newness of spirit, and not in the oldness of the letter.
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| ᎪᎯᏍᎩᏂ ᎨᏒ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎡᏓᏚᏓᎳᎡᎸ, ᏅᏗᎦᎵᏍᏙᏗᎭ ᎤᏲᎱᏒᎯ ᎨᏒ ᏗᎩᎾᏢᏅᎯ ᎨᏒᎢ; ᎾᏍᎩ ᎢᏤ ᎠᏓᏅᏙ ᎢᎬᏙᏗᏱ ᎪᎱᏍᏗ ᎡᏓᏛᏁᏗᏱ, ᎥᏝᏃ ᎪᏪᎸᏉ ᎢᎬᏙᏗᏱ ᎾᏍᎩᏯ ᏂᎦᏛᏁᎸ ᏧᏩᎫᏔᏅᏒᎢ.
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Go-hi-s-gi-ni ge-sv di-ka-hna-wa-dv-s-di e-da-du-da-la-e-lv, nv-di-ga-li-s-do-di-ha u-yo-hu-sv-hi ge-sv di-gi-na-tlv-nv-hi ge-sv-i; na-s-gi i-tse a-da-nv-do i-gv-do-di-yi go-hu-s-di e-da-dv-ne-di-yi, v-tla-no go-we-lv-quo i-gv-do-di-yi na-s-gi-ya ni-ga-dv-ne-lv tsu-wa-gu-ta-nv-sv-i.
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| What shall we say then? Is the law sin? God forbid. Nay, I had not known sin, but by the law: for I had not known lust, except the law had said, Thou shalt not covet.
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| ᎦᏙᎨᏃ ᏓᏓᏛᏂ? ᏥᎪ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎠᏍᎦᏂᏉ? ᎬᏩᏟᏍᏗ. ᎥᏝᏍᎩᏂ ᎠᏍᎦᏂ ᏱᎬᎩᎦᏙᎥᏎ ᎥᏝ ᏗᎧᎿᎭᏩᏛᏍᏗ; ᎥᏝᏰᏃ ᏱᎦᏥᎦᏔᎮ ᎤᏲ ᎠᏚᎸᏅᏗ ᎨᏒᎢ, ᎢᏳᏃ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎯᎠ ᏄᏪᏒᎾ ᏱᎨᏎᎢ, ᏞᏍᏗ ᏣᏓᏚᎸᎡᎸᎩ.
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Ga-do-ge-no da-da-dv-ni? Tsi-go di-ka-hna-wa-dv-s-di a-s-ga-ni-quo? gv-wa-tli-s-di. V-tla-s-gi-ni a-s-ga-ni yi-gv-gi-ga-do-v-se v-tla di-ka-hna-wa-dv-s-di; V-tla-ye-no yi-ga-tsi-ga-ta-he u-yo a-du-lv-nv-di ge-sv-i, i-yu-no di-ka-hna-wa-dv-s-di hi-a nu-we-sv-na yi-ge-se-i, Tle-s-di tsa-da-du-lv-e-lv-gi.
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| But sin, taking occasion by the commandment, wrought in me all manner of concupiscence. For without the law sin was dead.
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| ᎠᏍᎦᏂᏍᎩᏂ ᎤᎵᏁᏨ ᎬᏗᏍᎬᎢ ᏄᏓᎴᏒ ᎤᏲ ᎠᏆᏚᎸᏅᏗᏱ ᎾᏋᏁᎸᎩ. ᎥᏝᏰᏃ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎠᏍᎦᏂ ᎤᏲᎱᏒᎯ ᏱᎩ.
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A-s-ga-ni-s-gi-ni u-li-ne-tsv gv-di-s-gv-i nu-da-le-sv u-yo a-qua-du-lv-nv-di-yi na-quv-ne-lv-gi. V-tla-ye-no di-ka-hna-wa-dv-s-di a-s-ga-ni u-yo-hu-sv-hi yi-gi.
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| For I was alive without the law once: but when the commandment came, sin revived, and I died.
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| ᎢᎸᎯᏳᏰᏃ ᏥᎨᏒ ᏗᎧᎿᎭᏩᏛᏍᏗ ᏂᏓᏆᏁᎶᏛᎾ ᎨᏒ ᎢᏳᎢ ᎬᏃᏛ ᎨᏒᎩ; ᎤᎵᏁᏨᏍᎩᏂ ᎤᎷᏨ, ᎠᏍᎦᏂ ᎤᏛᏂᏛᎩ, ᎠᏴᏃ ᎠᎩᏲᎱᏒᎩ.
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I-lv-hi-yu-ye-no tsi-ge-sv di-ka-hna-wa-dv-s-di ni-da-qua-ne-lo-dv-na ge-sv i-yu-i gv-no-dv ge-sv-gi; u-li-ne-tsv-s-gi-ni u-lu-tsv, a-s-ga-ni u-dv-ni-dv-gi, a-yv-no a-gi-yo-hu-sv-gi.
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| And the commandment, which was ordained to life, I found to be unto death.
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| ᎠᎴ ᎾᏍᎩ ᎤᎵᏁᏨ ᎬᏂᏛ ᎠᏓᏁᎯ ᎨᏒ ᎠᏓᎯᎯᏉ ᎾᏆᎵᏍᏓᏁᎸᎩ ᎠᏴ.
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A-le na-s-gi u-li-ne-tsv gv-ni-dv a-da-ne-hi ge-sv a-da-hi-hi-quo na-qua-li-s-da-ne-lv-gi a-yv.
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| For sin, taking occasion by the commandment, deceived me, and by it slew me.
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| ᎠᏍᎦᏂᏰᏃ ᎤᎵᏁᏨ ᎬᏗᏍᎬ ᎠᎩᎶᏄᎮᎸᎩ, ᎠᎴ ᎾᏍᎩ ᎠᎩᎯᏍᏔᏅᎩ.
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A-s-ga-ni-ye-no u-li-ne-tsv gv-di-s-gv a-gi-lo-nu-he-lv-gi, a-le na-s-gi a-gi-hi-s-ta-nv-gi.
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| Wherefore the law is holy, and the commandment holy, and just, and good.
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| ᎾᏍᎩ ᎢᏳᏍᏗ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎾᏍᎦᏅᎾ; ᎠᎴ ᎾᏍᎩ ᎤᎵᏁᏨ ᎾᏍᎦᏅᎾ, ᎠᎴ ᏚᏳᎪᏛᎢ, ᎠᎴ ᎣᏏᏳ.
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Na-s-gi i-yu-s-di di-ka-hna-wa-dv-s-di na-s-ga-nv-na; a-le na-s-gi u-li-ne-tsv na-s-ga-nv-na, a-le du-yu-go-dv-i, a-le o-si-yu.
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| Was then that which is good made death unto me? God forbid. But sin, that it might appear sin, working death in me by that which is good; that sin by the commandment might become exceeding sinful.
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| ᏥᎪᏃ ᎾᏍᎩ Ꮎ ᎣᏍᏛ ᎨᏒ ᎠᎩᎯᎯᏉ ᏄᎵᏍᏔᏁᎢ? ᎬᏩᏟᏍᏗ. ᎠᏍᎦᏂᏍᎩᏂ, ᎾᏍᎩ ᎬᏂᎨᏒ ᎢᏳᎵᏍᏙᏗᏱ ᎾᏍᎩ ᏄᏍᏛ ᎠᏍᎦᏂ, ᏚᎸᏫᏍᏓᏁᎲᎩ ᎠᎩᎯᏍᏗᏱ ᎬᏗᏍᎬᎩ ᎾᏍᎩ Ꮎ ᎣᏍᏛ ᎨᏒᎢ; ᎾᏍᎩ ᎠᏍᎦᏂ ᎤᎵᏁᏨ ᎢᏳᏩᏂᏌᏛ ᎤᏣᏘ ᎠᏍᎦᎾᎯᏳ ᎢᏳᎵᏍᏙᏗᏱ.
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Tsi-go-no na-s-gi na o-s-dv ge-sv a-gi-hi-hi-quo nu-li-s-ta-ne-i? gv-wa-tli-s-di. A-s-ga-ni-s-gi-ni, na-s-gi gv-ni-ge-sv i-yu-li-s-do-di-yi na-s-gi nu-s-dv a-s-ga-ni, du-lv-wi-s-da-ne-hv-gi a-gi-hi-s-di-yi gv-di-s-gv-gi na-s-gi na o-s-dv ge-sv-i; na-s-gi a-s-ga-ni u-li-ne-tsv i-yu-wa-ni-sa-dv u-tsa-ti a-s-ga-na-hi-yu i-yu-li-s-do-di-yi.
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| For we know that the law is spiritual: but I am carnal, sold under sin.
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| ᎢᏗᎦᏔᎭᏰᏃ ᎾᏍᎩ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎠᏓᏅᏙ ᎤᏠᏱ ᎨᏒᎢ; ᎠᏴᏍᎩᏂ ᎤᏇᏓᎵ ᎠᏆᏘᏂᏙᎯ, ᎥᎩᎾᏗᏅᏛ ᎠᏍᎦᏂ ᎠᎩᎾᏢᏗᏱ.
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I-di-ga-ta-ha-ye-no na-s-gi di-ka-hna-wa-dv-s-di a-da-nv-do u-tlo-yi ge-sv-i; a-yv-s-gi-ni u-que-da-li a-qua-ti-ni-do-hi, v-gi-na-di-nv-dv a-s-ga-ni a-gi-na-tlv-di-yi.
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| For that which I do I allow not: for what I would, that do I not; but what I hate, that do I.
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| ᏄᏍᏛᏰᏃ ᏓᎩᎸᏫᏍᏓᏁᎲᎢ, ᎥᏝ ᎣᏏᏳ ᏯᎩᏰᎸᎭ; ᏄᏍᏛᏍᎩᏂ ᎠᏆᏚᎵᏍᎬᎢ ᎥᏝ ᎾᏍᎩ ᏱᏂᎦᏛᏁᎰᎢ; ᎾᏍᎩᏍᎩᏂ ᏥᏂᏆᏘᎲᎢ, ᎾᏍᎩ ᏂᎦᏛᏁᎰᎢ.
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Nu-s-dv-ye-no da-gi-lv-wi-s-da-ne-hv-i, v-tla o-si-yu ya-gi-ye-lv-ha; nu-s-dv-s-gi-ni a-qua-du-li-s-gv-i v-tla na-s-gi yi-ni-ga-dv-ne-ho-i; na-s-gi-s-gi-ni tsi-ni-qua-ti-hv-i, na-s-gi ni-ga-dv-ne-ho-i.
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| If then I do that which I would not, I consent unto the law that it is good.
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| ᎾᏍᎩᏃ ᎢᏳ ᎾᏆᏚᎵᏍᎬᎾ ᎨᏒ ᎾᏍᎩ ᏱᏂᎦᏛᏁᎭ, ᏗᎧᎿᎭᏩᏛᏍᏗ ᎣᏏᏳ ᎨᏒ ᎪᎢᏳᎲᏍᎦ.
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Na-s-gi-no i-yu na-qua-du-li-s-gv-na ge-sv na-s-gi yi-ni-ga-dv-ne-ha, di-ka-hna-wa-dv-s-di o-si-yu ge-sv go-i-yu-hv-s-ga.
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| Now then it is no more I that do it, but sin that dwelleth in me.
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| ᎾᏍᎩᏃ ᏥᏄᏍᏗ ᎥᏝ ᎿᎭᏉ ᎠᏴ ᎾᏍᎩ ᏱᏂᎦᏛᏁᎭ, ᎠᏍᎦᏂᏍᎩᏂ ᎾᏍᎩ ᏣᎩᏯᎠ.
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Na-s-gi-no tsi-nu-s-di v-tla hna-quo a-yv na-s-gi yi-ni-ga-dv-ne-ha, a-s-ga-ni-s-gi-ni na-s-gi tsa-gi-ya-a.
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| For I know that in me (that is, in my flesh,) dwelleth no good thing: for to will is present with me; but how to perform that which is good I find not.
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| ᏥᎦᏔᎭᏰᏃ ᎾᏍᎩ ᎠᏴ ᎨᏒᎢ, (ᎾᏍᎩ ᎠᎩᏇᏓᎸ ᏯᏛᏅ,) ᎪᎱᏍᏗ ᎣᏍᏛ ᏄᎵᏠᏯᏍᏛᎾ ᎨᏒᎢ; ᎠᏚᎸᏗᏱᏰᏃ ᎠᎩᎭ; ᎾᏍᎩᏍᎩᏂ Ꮎ ᎣᏍᏛ ᎨᏒ ᎢᏯᏛᏁᏗᏱ ᎥᏝ ᏱᏥᏩᏘᎭ.
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Tsi-ga-ta-ha-ye-no na-s-gi a-yv ge-sv-i, (na-s-gi a-gi-que-da-lv ya-dv-nv,) go-hu-s-di o-s-dv nu-li-tlo-ya-s-dv-na ge-sv-i; a-du-lv-di-yi-ye-no a-gi-ha; na-s-gi-s-gi-ni na o-s-dv ge-sv i-ya-dv-ne-di-yi v-tla yi-tsi-wa-ti-ha.
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| For the good that I would I do not: but the evil which I would not, that I do.
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| ᎣᏍᏛᏰᏃ ᎢᏯᏛᏁᏗᏱ ᎠᏆᏚᎵᏍᎬᎢ, ᎥᏝ ᎾᏍᎩ ᏱᏂᎦᏛᏁᎰᎢ; ᎤᏲᏍᎩᏂ ᎾᏍᎩ ᎾᏆᏚᎵᏍᎬᎾ ᎨᏒᎢ, ᎾᏍᎩ ᏂᎦᏛᏁᎰᎢ.
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O-s-dv-ye-no i-ya-dv-ne-di-yi a-qua-du-li-s-gv-i, v-tla na-s-gi yi-ni-ga-dv-ne-ho-i; u-yo-s-gi-ni na-s-gi na-qua-du-li-s-gv-na ge-sv-i, na-s-gi ni-ga-dv-ne-ho-i.
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| Now if I do that I would not, it is no more I that do it, but sin that dwelleth in me.
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| ᎾᏍᎩᏃ ᎢᏳᏃ ᎠᏴ ᎾᏆᏚᎵᏍᎬᎾ ᎨᏒ ᎾᏍᎩ ᏱᏂᎦᏛᏁᎭ, ᎥᏝ ᎠᏴ ᎿᎭᏉ ᎾᏍᎩ ᏱᏂᎦᎦᏛᏁᎭ, ᎠᏍᎦᏂᏍᎩᏂ ᎾᏍᎩ ᏣᎩᏯᎠ.
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Na-s-gi-no i-yu-no a-yv na-qua-du-li-s-gv-na ge-sv na-s-gi yi-ni-ga-dv-ne-ha, v-tla a-yv hna-quo na-s-gi yi-ni-ga-ga-dv-ne-ha, a-s-ga-ni-s-gi-ni na-s-gi tsa-gi-ya-a.
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| I find then a law, that, when I would do good, evil is present with me.
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| ᎾᏍᎩᏃ ᎾᏉ ᏥᏩᏘᎭ ᎯᎠ ᏗᎧᎿᎭᏩᏛᏍᏗ, ᎾᏍᎩ ᎣᏍᏛ ᎢᏯᏆᏛᏁᏗᏱ ᎠᏆᏚᎸ, ᎤᏲ ᎨᏒ ᏓᎩᎧᎿᎭᏩᏗᏙᎰᎢ.
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Na-s-gi-no na-quo tsi-wa-ti-ha hi-a di-ka-hna-wa-dv-s-di, na-s-gi o-s-dv i-ya-qua-dv-ne-di-yi a-qua-du-lv, u-yo ge-sv da-gi-ka-hna-wa-di-do-ho-i.
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| For I delight in the law of God after the inward man:
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| ᎣᏏᏳᏰᏃ ᎠᎩᏰᎸᎭ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎤᏁᎳᏅᎯ ᎤᏤᎵᎦ ᎬᏗᎭ ᎭᏫᏂ ᎠᏇᎲ ᏴᏫ.
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O-si-yu-ye-no a-gi-ye-lv-ha di-ka-hna-wa-dv-s-di U-ne-la-nv-hi u-tse-li-ga gv-di-ha ha-wi-ni a-que-hv yv-wi.
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| But I see another law in my members, warring against the law of my mind, and bringing me into captivity to the law of sin which is in my members.
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| ᎠᏎᏃ ᎢᏥᎪᏩᏘᎭ ᏅᏩᏓᎴ ᏗᎧᎿᎭᏩᏛᏍᏗ ᏥᏰᎸ ᎠᏆᏚᏓᏕᏫᏒᎢ, ᎾᏍᎩ ᏗᎦᏘᎴᎩ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎠᏆᏓᏅᏙᎩᎯ ᎠᎲᎢ, ᎠᎴ ᏥᏴᎩ ᎢᏯᏋᏁᎯ ᎠᏊᏓᎸᎥᏍᎩ ᏗᎧᎿᎭᏩᏛᏍᏗᏱ ᎠᏍᎦᏂ ᎤᏤᎵᎦ, ᎾᏍᎩ ᏥᏰᎸ ᎠᏆᏚᏓᏕᏫᏒ ᎠᎲᎢ.
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A-se-no i-tsi-go-wa-ti-ha nv-wa-da-le di-ka-hna-wa-dv-s-di tsi-ye-lv a-qua-du-da-de-wi-sv-i, na-s-gi di-ga-ti-le-gi di-ka-hna-wa-dv-s-di a-qua-da-nv-do-gi-hi a-hv-i, a-le tsi-yv-gi i-ya-quv-ne-hi a-quu-da-lv-v-s-gi di-ka-hna-wa-dv-s-di-yi a-s-ga-ni u-tse-li-ga, na-s-gi tsi-ye-lv a-qua-du-da-de-wi-sv a-hv-i.
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| O wretched man that I am! who shall deliver me from the body of this death?
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| ᎤᏲᏍᏛᏉ ᎾᏆᏍᏗ ᎠᏴ! ᎦᎪ ᏛᏊᏓᎴᏏ ᎯᎠ ᎾᏍᎩ ᏥᏰᎸ ᎠᏓᎯᎯ ᎠᏆᏚᏓᎸᏛᎢ.
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U-yo-s-dv-quo na-qua-s-di a-yv! ga-go dv-quu-da-le-si hi-a na-s-gi tsi-ye-lv a-da-hi-hi a-qua-du-da-lv-dv-i.
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| I thank God through Jesus Christ our Lord. So then with the mind I myself serve the law of God; but with the flesh the law of sin.
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| ᎤᏁᎳᏅᎯ ᏥᏯᎵᎡᎵᏤᎭ ᏥᏌ ᎦᎶᏁᏛ ᎤᎬᏫᏳᎯ ᎢᎦᏤᎵᎦ ᎢᏳᏩᏂᏌᏛ. ᎾᏍᎩᏃ ᎠᏆᏓᏅᏖᏗᏱ ᎬᏗᎭ, ᎠᏴᏉ ᎾᏍᎩ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎤᏁᎳᏅᎯ ᎤᏤᎵ ᏕᏥᎦᎾᏩᏕᎦ, ᎠᎩᏇᏓᎸᏍᎩᏂ ᎨᏒ ᎬᏗ ᏗᎧᎿᎭᏩᏛᏍᏗ ᎠᏍᎦᏂ ᎤᏤᎵ ᏕᏥᎦᎿᎭᏩᏕᎦ.
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U-ne-la-nv-hi tsi-ya-li-e-li-tse-ha Tsi-sa Ga-lo-ne-dv U-gv-wi-yu-hi i-ga-tse-li-ga i-yu-wa-ni-sa-dv. Na-s-gi-no a-qua-da-nv-te-di-yi gv-di-ha, a-yv-quo na-s-gi di-ka-hna-wa-dv-s-di U-ne-la-nv-hi u-tse-li de-tsi-ga-na-wa-de-ga, a-gi-que-da-lv-s-gi-ni ge-sv gv-di di-ka-hna-wa-dv-s-di a-s-ga-ni u-tse-li de-tsi-ga-hna-wa-de-ga.
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API - Admin
list
Menu
home
Home
supervisor_account
Admin
shoppping_cart
Place order
settings
Settings
Products
Vending Machines
Offers
Product Name
Vending Name
Quanitity
Price
Add Stock
Price:
Quanitity:
Product:
Vending Machine:
Save
add


--- permalink: /AD.html layout: default ---
One new paitent will be diagnosed roughly every ~16 seconds
This figure is an underestimate.
It is likely impossible to know the true burden that Alzheimer's carries on the world, but this is one estimation.
1 in 3 seniors will die from Alzheimers or another dementia. It kills more than breast cancer and prostate cancer combined
And it's not just them.
In America alone, more than 11 Million unpaid caregivers, usually our loved ones, will provide over 12.3 billion hours of unpaid care. This would be valued at $257 billion dollars.
There is currently no cure. But together, we will find one.
For more information, visit the Alzheimer's association
I built this counter based on the 2050 estimates of global AD rates, from the alzheimers association and this paper
my linear estimate of the non-linear 2050 model approximates global AD rates by:
percent_AD = (1.5E-12 * global_population)-0.0048
If you have a suggestion on how to improve it, please let me know!


Contact details
Please enter your contact details:
Last name:
First name:
Address line 1:
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Telephone:
E-mail:


I'm an undergrad student at IIIT-Delhi, pursuing BTech in Computer Science and Engineeering. In a nutshell, I am a simple soul, who likes being with friends, spending time with family, and treating life like it’s a new day, everyday. I have very eclectic tastes, with the music I listen to ranging from metal to jazz, and books from sci-fi to classical literature. I play the guitar and am learning to play the drums. I’m not an avid gamer, but I enjoy strategy and racing games, though I am always up for Counter-Strike! I’m a voracious reader, soaking in anything I can lay my hands on. I enjoy programming and web design, so more often than not I’ll be holed up with my laptop and some coffee (well, lots of it actually!). I am fascinated by the world around me, and being a keen programmer, I love to hack and create amazing things that make a difference.
I am an enthusiastic person who enjoys overcoming challenge and achieving personal goals. My present career aim is to work within IT . The opportunity to learn new skills and work with new technologies is particularly attractive to me. I have a clear, logical mind with a practical approach to problem solving and a drive to see things through to completion. Working with a team to analyze and solve problems gives me immense joy. I am creative and artistic and have a great eye for detail, being a true perfectionist at heart. I am eager to learn and I enjoy overcoming challenges. I have strong technical skills as well as excellent interpersonal skills. You will find me to be extremely hardworking, and able to juggle multiple tasks with great time management, or focus all my energy on just one too.
A website created as a tribute to Ayrton Senna. Check it out at CodePen and GitHub.
I'd love to hear from you! Drop me a line.
<EMAIL_ADDRESS>divayprakash
/in/divayprakash
@divayprakash3


Quadrant.io solves the frustration of economic data search with Algolia
20 Apr 2015Browsing the cumbersome interfaces of government websites in the lookout for reliable data can be a very frustrating experience. It's full of specific terminology and there's not a government website that looks the same. It's like each time you want to use a car, you have to learn to drive all over again.
Connect ideas with economic insight in a matter of seconds
That's what Quadrant.io is for. Solving the frustration anyone who makes their points with facts encounters when routinely performing data search. It offers them with the fastest and easiest way to find and chart economic data from trusted sources. Acknowledging that it can quickly become a nightmare to find reliable information scattered all over the web, Quadrant is on a mission to shorten any data search to seconds. So that data users can spend less time finding data and more time analysing it.
To keep this promise, Quadrant provides data users with an intuitive platform that aggregates more than 400,000 indicators from over 1,000 public sources, and keep them updated in real time. A powerful search allowing any user to find exactly what they are looking for even if they do not use economists' jargon is a must-have functionality in such a service.
And Algolia stood out as the perfect search solution for Quadrant.
Provide a rewarding search experience to End-Users
First because of** the rewarding search experience it allows to deliver to its users.**
Algolia surfaces data relevant to people's search in milliseconds, showing the most appropriate results from the very first keystroke.
It enables to search across different entry points corresponding to the different attributes describing data series (release date, source).
That wasn't possible with other search solutions they tested before. After implementing Algolia, Quadrant.io received nice feedback from their customers, saying that "search was much more comfortable, much more intuitive".
Algolia empowers anyone to be a search expert
Second, because of the simple experience it is to deploy Algolia on their web app. Back-end documentation and customer support was a major help: it took them less than a week to implement instant search, including relevance tweaking and front-end development. As Dane Vrabrac, co-founder of Quadrant.io concluded "with Algolia, it's awesome all the stuff I can do as a non developer !"
Images courtesy of Quadrant.io. Learn more on their website.


Man arrested for injuring common-law wife’s 2-year-old son with stun gun
TOCHIGI — Police in Ashikaga, Tochigi Prefecture, on Saturday arrested a 37-year-old unemployed man for injuring the two-year-old son of his common-law wife with a stun gun.
According to police, Seijiro Iyoku has only said “I’ll talk later,” and has remained silent since his arrest, Sankei Shimbun reported.
Iyoku is accused of using the stun gun on the child, pressing it against his chest, several times between Nov 7 and Nov 15. Police said the boy was taken to hospital and his life is not in danger.
© Japan Today


KYLE! -->
OAFE
Open App From Email
Install app redirects you to the app store
X closes the banner for 2 weeks
Open To App redirects you to the iPhone app
You can use the mobile-web for a minute after you are redirected
And, you can manage your preference
but why?
why are you doing this?!
You're driving traffic away from mobile web!
We have a hypothesis
Average Unit Revenue
Average Unit Revenue
Green(Top): MW, full web, iPad Safari
Red(Bottom): native apps
Green ~20% higher than Red
Links can hit the green channels. Links can't hit the apps.
BUT
The iPhone App converts 34% more than mobile web.
Hypothesis
If we can redirect more of the gilt-mobile-web traffic to the iPhone app, we'll increase revenue for Gilt overall.
Data
Total Events:
120,573
Dismissed Banner:
61,901
51.34%
Tapped "Open to app":
48,009
39.82%
Tapped "Install app":
10,663
8.84%
Too early to be conclusive but we are definitely driving more traffic to the iPhone app.
Possible next steps:
Always redirect from a link?
Detect whether app is installed
Advertise it
OAFE was created by
Randy Gretz
CBarr
Chris Gonzalez
Yon
Greg
Bye!


A: Absolutely! You can call or visit any Wage and Hour Office to ask about the laws or file a complaint. You can also call WHD's toll-free help line:
You may also call or visit the local office near you or send us an e-mail.
A: Yes. While there are many employees that may be exempt from some provisions of the law, an employee covered by the FLSA who provides information that demonstrates the probability that they have not been paid the required federal minimum wage of $7.25 per hour effective July 24, 2009, or overtime (1.5 times the regular rate of pay for hours worked in excess of 40 in a work week) may file a complaint with the Wage and Hour Division (WHD) of the U.S. Department of Labor.
A: All discussions with WHD are confidential. All complaints are confidential; the name of the complainant and the nature of the complaint are not disclosed. The only exceptions are: when it is necessary to reveal a complainant's identity, with his or her permission, to pursue an allegation; and when the WHD is ordered to reveal information by a court. You can find additional information about the investigative process at Fact Sheet 44.
Fair Labor Standards Act Advisor


Computers use data structures of all configurations. They range from the simple "byte" to 32-bit integers to those both complex and abstract. In most cases, the data structure consists of more than one byte. These bytes must be stored in memory and, sometimes, to files. However, the question remains: "When multiple bytes are used, what order are they stored in memory?" This is a fundamental issue that must be know with absolute certainty, or the reading and writing of binary data could be interpreted incorrectly.
Two different classes of byte ordering are used in computers: Big-Endian and Little-Endian. When a data structure is stored in Little Endian format, the least significant byte is stored in the lower memory address. The opposite is true for Big Endian, the most significant byte is stored in the lower memory address.
For instance, assume you have a 32-bit integer containing the value D7C416. The least significant byte contains the value C416 and the most significant byte contains D716. If the number is stored using Little Endian byte ordering, the first byte in the file will contain the value C416; the second: D716. This is the format used on the Intel family of processors and is the standard used by most file formats.


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The schedule for the 20th annual 12 days of Christmas runnin beginning on Dec. 13th. Please check daily for updates/changes on the 12 days of Christmas Runnin page on Facebook. Make sure to wear your Christmas colors every day and bring your appetite and a FLASHLIGHT. Looking forward to seeing you all out there!!!!
Locations: to learn where the locations are please check the document in 12 days of Christmas Runnin page on Facebook.
Title: Christmas Sox Run
Time: 6:00am
Host: The Manzanos
Description: 5K/10k Run, Walk, Ride followed by Egg casseroles, bagels, juice, and coffee.
Title: Hogs and Quiches
Time: 6:00am
Host: Dino and Karen Pick
Description: Run/walk/bike to the ocean and around Spyglass Hill followed by quiche, mimosas, and BACON!
Title: Sunrise & Surf at Spanish Bay!
Time: 6:00am
Host: Greg McCormack and Vera Noghera
Description: 3–5-mile run/walk followed by Bagels, Bites, and Beverages on the Beach Below the Boardwalk.
Title: No Frills. Drills and Sand Hills
Time: 6:00am
Host: Mike D’auria and Ben Balester
Description: Boot camp/run event. Running and obstacle drills on the beach and team relay events on the sand hill. Easy run and walk option along Scenic and/or beach. Coffee, pastries, homemade cookies and fruit/veg smoothies.
Title: Run, then we MANGIA
Time: 5:30pm
Host: Carmella Cuva, Glenn Reis
Description: Sicilian soup will be served with salad and spaghetti after a 3- or 4-mile run/walk
Title: Tri to conquer some hills!
Time: 8:00am
Host: Steve & Beverly Zalan, Maureen Wruck, Linda Sereno, Keely Clifford
Description: New loop through the scenic Bay Ridge neighborhood to test your legs! Extra-long route with bonus climbing for the runners to challenge even the speedsters and a few Strava segments to nail :-)breakfast casseroles accompanied by a side of bacon
Title: Up, Up & Away this Holiday!
Time: 8:30am
Host: Marie Earl & Peter Skinner.
Description: Customizable longer/shorter Run/Walk. Hills (some challenging and some easy peasy) plus neighborhood gems (secret steps, Sloat Monument, Butterfly House, …). Refuel with homemade blueberry muffins, banana bread, artichoke frittata, wild rice salad with smoked fish.
Title: Monday-Funday-Cinna-Yum-Day
Time: 6:00am
Host: Emily Cole, Kate Conway, Bobby Hillard, Morgan Ivens-Duran
Description: Run/Walk followed by cinnamon rolls and other cinnamon-y breakfast delights! Street parking required, Prepare for outdoor eating (tiny apartment), BRING/WEAR LIGHTS!!!
Title: Solstice Celebration
Time: 7:00am
Host: Tara Clark, Brian Clark, Liisa Nichols
Description: Winter solstice is at 7:59 am. We will start at 7 am and run/walk for 59 minutes! This is the shortest day of the year - come in your lightest, brightest sun (and earth) themed gear. Finnish breakfast bread, sunspot skillets, fruit, yogurt, oatmeal.
Title: Tour de Parks
Time: 6:00am
Host: Siara & Tadhg Meehan
Description: 2-6-mile run/walk around the Parks of Monterey, followed by Christmas finger foods, coffee and hot chocolate.
Title: Ribbon Tying Ceremony
Time: 5:30pm
Host: Ralph Wege
Description: Marking the Lake-to-Lake course by tying red ribbons, followed by Pizza, beer and wine
Title: 20th Annual Lake to Lake Holiday Run/Walk
Time: 8:30am
Host: Ingrid Aquino
Description: One hour run/ walk/cycle on rec trail starting and ending at Dennis the Menace Park.Post event festivities TBD


| Total net profit | -45.79 | Gross profit | 39.45 | Gross loss | -85.24 |
| Profit factor | 0.46 | Expected payoff | -0.18 | ||
| Absolute drawdown | -46.25 | Maximal drawdown (%) | 46.02 (-20008.7%) | ||
| Total trades | 259 | Profit trades (% of total) | 77 (29.73%) | Loss trades (% of total) | 182 (70.27%) |
| Long positions (won %) | 151 (33.77%) | Short positions (won %) | 108 (24.07%) | ||
| Largest | profit trade | 1.79 | loss trade | -1.03 | |
| Average | profit trade | 0.51 | loss trade | -0.47 | |
| Minimum | profit trade | 0.0 | loss trade | -0.01 | |
| Maximum | take profit in pips | 138.2 | stop loss in pips | -161.8 | |
| Average | take profit in pips | 50.5 | stop loss in pips | -34.7 | |
| Minimum | take profit in pips | -7.8 | stop loss in pips | -7.3 | |
| Maximum | Reward-Risk | 10.5 | Duration in minutes | 741 | |
| Average | Reward-Risk | 1.8 | Duration in minutes | 50.9 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0 | |
| Maximum | consecutive wins (profit in money) | 4.0 (4.24) | consecutive losses (loss in money) | 13.0 (-5.42) | |
| Average | consecutive wins | 1.0 | consecutive losses | 3.0 |
| Total net profit | -25.84 | Gross profit | 27.53 | Gross loss | -53.37 |
| Profit factor | 0.52 | Expected payoff | -0.17 | ||
| Absolute drawdown | -27.01 | Maximal drawdown (%) | 27.73 (3851.39%) | ||
| Total trades | 151 | Profit trades (% of total) | 51 (33.77%) | Loss trades (% of total) | 100 (67.55%) |
| Largest | profit trade | 1.79 | loss trade | -1.03 | |
| Average | profit trade | 0.54 | loss trade | -0.53 | |
| Minimum | profit trade | 0.0 | loss trade | -0.01 | |
| Maximum | take profit in pips | 131.0 | stop loss in pips | -96.0 | |
| Average | take profit in pips | 48.8 | stop loss in pips | -38.6 | |
| Minimum | take profit in pips | -7.8 | stop loss in pips | -15.6 | |
| Maximum | Reward-Risk | 7.2 | Duration in minutes | 741.0 | |
| Average | Reward-Risk | 1.5 | Duration in minutes | 64.3 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0.0 | |
| Maximum | consecutive wins (profit in money) | 3.0 (1.2) | consecutive losses (loss in money) | 10.0 (-4.31) | |
| Average | consecutive wins | 1.0 | consecutive losses | 2.0 |
| Total net profit | -19.95 | Gross profit | 11.92 | Gross loss | -31.87 |
| Profit factor | 0.37 | Expected payoff | -0.18 | ||
| Absolute drawdown | -19.95 | Maximal drawdown (%) | 19.55 (-4887.5%) | ||
| Total trades | 108 | Profit trades (% of total) | 26 (24.07%) | Loss trades (% of total) | 82 (75.93%) |
| Largest | profit trade | 1.47 | loss trade | -0.71 | |
| Average | profit trade | 0.46 | loss trade | -0.39 | |
| Minimum | profit trade | 0.01 | loss trade | -0.06 | |
| Maximum | take profit in pips | 138.2 | stop loss in pips | -161.8 | |
| Average | take profit in pips | 52.8 | stop loss in pips | -29.2 | |
| Minimum | take profit in pips | -4.4 | stop loss in pips | -7.3 | |
| Maximum | Reward-Risk | 10.5 | Duration in minutes | 344.0 | |
| Average | Reward-Risk | 2.3 | Duration in minutes | 32.1 | |
| Minimum | Reward-Risk | Duration in minutes | 0.0 | ||
| Maximum | consecutive wins (profit in money) | 3.0 (0.56) | consecutive losses (loss in money) | 12.0 (-5.72) | |
| Average | consecutive wins | 1.0 | consecutive losses | 3.0 |


I was 19 years old, healthy, active, average weight, non-smoker, on a good diet, the list goes on. I've never really done any hard drugs, I was primarily a cannabis smoker.
A couple friends and I were sitting around my dorm room on a Friday afternoon in September. We decided to take bong rips out of a medium-sized piece, and as our session finished I had taken in two loads.
I felt fine at first, I sat and joked around with my friends - same as always. Then I got real quiet, my mind was racing a million thoughts a minute. It felt like my thoughts were jumping so quick that I had to urge to run down the hallway screaming, like the weed had released a truckload of built-up energy that I didn't know I had. But I didn't do anything, I just sat there with my jumbled thoughts and never thought anything strange of it.
A minute or two later my body got real cold and I started getting the chills. I looked in the mirror and I looked fine, but I touched my face to feel my cheeks flushed with fever. Starting to get nervous, I sipped on some water and layed on my bed.
That's when it got worse, the chest pain started. For lack of a better way to describe it, I honestly thought I was having a heart attack. My hands were cold and clammy and the chest pain was so bad that I couldn't breathe - I thought I was going to suffocate. I layed on my stomach, clutching my chest, my left arm completely stiff. I plugged in a small room fan and had it turned towards my face so I'd be getting more air.
My friends left, and my roomate kept trying to talk to me - but I couldn't focus on having any sort of conversation. Not knowing what was going on with my body, I was afraid to send her out of the room in fears that it might be serious, that I'd have to go to the hospital. It wasn't until she suggested it that I ever knew what a panic attack was.
I can honestly say it was the most horrible experience of my life. I had been smoking up to four times a day gradually for almost three years, I had no idea what was going on. My attack lasted an hour until my high wore off, with more moderate effects for about another hour later. I have a family history of heart problems so naturally I thought it was a heart attack, but I know that it isn't right for a healthy, active, normal 19 year old girl to be experiencing such a major medical problem at such a young age.
It wasn't until I searched online that I understood that I'm not the only one who experiences panic attacks from smoking weed. It can happen to anyone, and I'm sad to see that all my past highs are now tainted with the horrible pain brought on by my attack. I'm constantly paranoid every time my body even slightly emulates any of the symptoms, I get nervous if my left arm is sore, if my heart starts beating, if I'm out of breath, etc.
I tried smoking a month or so later with a much smaller dosage. Again, I felt pains in my chest and that's when I knew that my weed-smoking days were over. It's not worth the paranoia, the impending feeling of another 'heart attack.' In a last-ditch effort I tried smoking several times since, but after my attack I no longer can enjoy my high without vividly remembering that day back in September.
If you think you're experiencing a panic attack, stop smoking. It's not worth it, just remember the good times you've had when you were high in the past - and move on. Apparently smoking is not for everybody, no matter how long you've smoked in the past. Don't make it worse for yourself, I can't imagine how some people experience these attacks even without smoking, just carrying out a simple task as driving in a car. I couldn't live like that.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


REAL TIME VENUE SIGNALING
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Projects
Duck Hasks Domestic
HTML and Java Programmer,
developed a program that helped make Stevens a better place using HTML and Java. This project was a poor mans siri. We made a chat bot that was able to help in coming freshmen and or student get information that might be hard to recieve otherwise.
IEEE Hackathon
Programmer/Design
Create a game that used two controllers, Designed and Programmed the Front end. Got second place, due to originality and back end design.
IEEE Skateboard Project
Solo project
Created an electric skateboard under the retail value by 4 times. This was done by build in the build and other materials from scratch.
SSW 215 Final Project: Web app
HTML and Front-end Developer
The web app was used to upload and download study guides for the Stevens community. I created the transitions and website while the other members worked on the data base.


\address{Return address}
The return address, as it should appear on the letter and the envelope. Separate lines of the address should be separated by \\ commands. If you do not make an \address declaration, then the letter will be formatted for copying onto your organization's standard letterhead. If you give an \address declaration, then the letter will be formatted as a personal letter.
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I'm convinced that the only thing that kept me going was that I loved what I did.
Which is my favourite said by Steve Jobs, former CEO of Apple and a great man, and I was totally inspired by it. That's why I chose to change my major to CS after I'd realized what I really love to do is coding. One year ago, during my sophomore year, that summer has given me a lot of time to think and reflect upon my experiences towards majoring in Computer Science. Learning CS involves experimentation. I have to mess around with the code, really get into it. Sometimes it means that I'll break something that was already working. But the great thing is that in return, I get to learn something new, sometimes something that isn't even documented or fixed. This definitely happens to me at study everyday. Sometimes I feel like taking the lazy approach and just going back to the old ways of doing things, but trust me, it's definitely a lot better to just play around with it.
Donec ullamcorper nulla non metus auctor fringilla. Vestibulum id ligula porta felis euismod semper. Praesent commodo cursus magna, vel scelerisque nisl consectetur. Fusce dapibus, tellus ac cursus commodo.
Donec ullamcorper nulla non metus auctor fringilla. Vestibulum id ligula porta felis euismod semper. Praesent commodo cursus magna, vel scelerisque nisl consectetur. Fusce dapibus, tellus ac cursus commodo.
Donec ullamcorper nulla non metus auctor fringilla. Vestibulum id ligula porta felis euismod semper. Praesent commodo cursus magna, vel scelerisque nisl consectetur. Fusce dapibus, tellus ac cursus commodo.


{% extends "header.html" %} {% block body %}
So now we've got 3 strategies, and we've discovered their survival rates and profit potentials. Looks like the doubler is the best option, and we've discovered ~1.75 to be the optimal doubling amount. That said, 1.75 is optimal it seems in accordance to 100 wagers total, but we can also test a range of total wagers per "session" to see if we can optimize further.
That said, we're clearly heading for a strategy that plays for 'x', 100 for now, wagers before resetting and starting over for cumulative gain.
Due to this, and also to get better information, it would be wise to not only account for survival rate and profit % chance, but actually account for overall profit.
So, say we test 1,000 samples, with a losing multiple of 1.75, and a starting capital of 10,000 ea, then we really ought to tally up everyone's total funds at the very end. It would need to be greater than 10,000 multipled by 1,000, or 10,000 starting funds times the 1,000 players.
If the funds are greater, then we have located a seemingly good strategy, especially if we test it against something like 1 million, 10 million, or 100 million samples.
First things first, we need to figure out how much money we have.
I suggest you save your old copy of code, because I am going to delete everything except for our multiple bettor function, the dice function, and some of the constant vars.
import random import matplotlib import matplotlib.pyplot as plt import time #lower_bust = 19.00 #higher_profit = 69.00 # back to 1,000 sampleSize = 1000 startingFunds = 100000 wagerSize = 100 wagerCount = 100 def rollDice(): roll = random.randint(1,100) if roll <= 50: return False elif roll >= 51: return True def multiple_bettor2(funds,initial_wager,wager_count,multiple):#,color): global ROI global multiple_busts global multiple_profits value = funds wager = initial_wager wX = [] vY = [] currentWager = 1 previousWager = 'win' previousWagerAmount = initial_wager while currentWager <= wager_count: if previousWager == 'win': if rollDice(): value += wager wX.append(currentWager) vY.append(value) else: value -= wager previousWager = 'loss' previousWagerAmount = wager wX.append(currentWager) vY.append(value) if value <= 0: multiple_busts += 1 break elif previousWager == 'loss': if rollDice(): wager = previousWagerAmount * multiple if (value - wager) <= 0: wager = value value += wager wager = initial_wager previousWager = 'win' wX.append(currentWager) vY.append(value) else: wager = previousWagerAmount * multiple if (value - wager) <= 0: wager = value value -= wager previousWager = 'loss' previousWagerAmount = wager wX.append(currentWager) vY.append(value) if value <= 0: multiple_busts += 1 break currentWager += 1 #print 'ending Value:',value ROI += value #plt.plot(wX,vY) if value > funds: multiple_profits+=1 multipleSampSize = 1000000 multiple_busts = 0.0 multiple_profits = 0.0 ROI = 0 counter = 1 while counter <= multipleSampSize: multiple_bettor2(startingFunds,wagerSize,wagerCount,1.75) counter += 1 print 'Total Amount Invested:', multipleSampSize * startingFunds print 'Total Return:',ROI print 'Difference:',ROI-(multipleSampSize * startingFunds) print 'Bust Rate:',(multiple_busts/multipleSampSize)*100.00 print 'Profit Rate:',(multiple_profits/multipleSampSize)*100.00


Recent Works
Fashion as {Virtual} Art
Spring 2021.
Summary
I designed, prototyped, and implemented a WebXR AR application for an exhibition, Fashion as {Virtual} Art. To support the app, I created a small website and designed posters to hold the QR code to the website and a Hiro image for marker-based AR tracking.
The exhibition was designed by Professor Chiara Vincenzi using virtual garments that her students created in Tilt Brush (Open Brush). It also showed a video of the WebXR VR multiplayer critiques made possible with Project Komodo.
The software is the first example I am aware of that could display Tilt Brush garments with the correct colors, shaders, and animations on built-in mobile browsers via marker-based AR. The tilt-loader code is thanks to the folks at Icosa. I saved a copy of the experimental code because Icosa was hard at work evolving their platform. Unfortunately, partway through the exhibition, I learned the hard way that deep in the code, there was a request being made to their API, and that request was now failing because they (understandably) introduced CORS protections.
I appreciate the high level of patience and understanding of everyone involved, and I now have something to tangibly remind me to be careful with in-development and early-version third-party libraries.
Collaborators
- Professor Chiara Vincenzi
- ARTS 221 (Spring 2021) Students
Technologies and Tools
Development Technologies
- A-Frame
- CSS
- HTML
- JS
- ThreeJS
WebXR AR Platforms
- Android Chrome
- iOS Safari
Other Development Technologies
- AR.js
- Icosa Gallery API
- WebXR AR
Tools
Google Docs


These services should only be used in an emergency - a critical or life-threatening situation. Play your part by considering one of the other services where possible to allow staff to concentrate on treating patients who are seriously ill or injured.
999 is the telephone number for emergency medical assistance following a serious accident, illness or injury - for example, in the event of traumatic blood loss, chest pain or loss of consciousness.


|
AutoYams
Automatic Yams with OpenCV dice detection
|
Go to the documentation of this file.
31 bool addCombo(QString name, std::function<
int(QList<Dice*>)> combo);
41 bool play(
Player* player, QList<Dice*> dices, QString name);
59 int sampleMove(QList<Dice*> dices, QString name)
const;
bool addCombo(QString name, std::function< int(QList< Dice * >)> combo)
Add a new mapped possible combo/move.
Definition: Scoring.cpp:4
QMap< QString, PlayableMove * > playCombos
Definition: Scoring.h:20
QList< QPair< int, PlayableMove * > > sampleBestMoves(Player *player, QList< Dice * > dices)
Find and sort every possible move a specified player can play.
Definition: Scoring.cpp:25
bool play(Player *player, QList< Dice * > dices, QString name)
Play a specific combo for a specific player with the current set of dice.
Definition: Scoring.cpp:12
Manager used to compute combos from dices to a given player.
Definition: Scoring.h:14
int sampleMove(QList< Dice * > dices, QString name) const
Sample a specific move without consideration of a specific player.
Definition: Scoring.cpp:38
Player game object used as a representation of every user.
Definition: Player.h:13


Customize uniAuth¶
In the projects tree there’s an application called idp, in it we configured the customization of some AttributeProcessors, the AuthenticationBackend based on LDAP and the template to use. Use it as an example to do your customizations, you can even create another Authentication backend or your customized Attribute Processors in your applications.
For example if you have to change the Organization logo you can simply create a new app with custom static/
images, styles and js.
Remember also to put your brand new application in django_idp.settings.INSTALLED_APPS
, in case of a custom Authentication Backend put it in django_idp.settings.AUTHENTICATION_BACKENDS
.
Localization i18n¶
It relies to Django documentation.
You’ll find gettext .po files into locale/
folder, then you can translate messages before compiling them with:
./manage.py compilemessage


Plenty of previous participants had little or no gamedev experience, but they had a blast. We’ll have lots of people willing to answer questions and help you learn at your own pace!
No! Games also need artists, writers, and designers. There is no rule for whether your game must be 2D, 3D, complex, or even have graphics.
Most bring their own computer. At the moment, our venue isn't providing guest computers. Let us know if this prevents you from attending, and we'll see if what we can do!
If you insist! Participating gets you snacks and drinks, all while hanging out with local gamedevs! Meals are provided throughout the weekend. Follow @ICTGameJam, and join us in Slack to get involved with local game devs and upcoming events!
Doors open at 6pm, kickoff slides and intro start at 7pm. Participants will receive an email to vote on the game jam’s theme. Those needing teams will have an opportunity to pitch ideas and form or join teams as necessary. You can even work solo if you want. 3 people is ideal, and we prefer teams stay below 5. Then it’s time to start making games! Work as long as you can, while staying healthy and safe! Overnight work, and continuing to work remotely are permitted.
Show up in the morning. Enjoy refreshments, meals and … oh yeah… build a game! Hit a wall? Ask for help! Lean on the volunteers and fellow game devs for feedback and encouragement! Same closing rules as Friday!
Arrive in the morning to put the finishing touches on your game. Work stops, lunch begins at 12pm. Judges play your games 1 - 2pm. Doors open to the public 2 - 4:30pm to play your games and vote for Community Choice while the judges deliberate. Winners announced at 4:30pm.


All Modules / Classes
AboutEachException
(class)
BNode
(class)
Graph
(class)
Literal
(class)
Namespace
(class)
REXML::Element
(class)
RdfXmlParser
(class)
RdfaParser
(class)
Rena
(module)
Triple
(class)
TypedLiteral
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URIRef
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UriRelativeException
(class)


Lorem Ipsum has been the standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Lorem Ipsum has been the standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Lorem Ipsum has been the standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.


low-bandwidth
`Prev `__
L
`Next `__
--------------
**low-bandwidth**: adj.
[from communication theory] Used to indicate a talk that, although not
`*content-free* <../C/content-free.html>`__, was not terribly
informative. “That was a low-bandwidth talk, but what can you expect for
an audience of `*suit* <../S/suit.html>`__\ s!” Compare
`*zero-content* <../Z/zero-content.html>`__,
`*bandwidth* <../B/bandwidth.html>`__,
`*math-out* <../M/math-out.html>`__.
--------------
+--------------------------------------------+----------------------------+-----------------------------------------------------------+
| `Prev `__ | `Up <../L.html>`__ | `Next `__ |
+--------------------------------------------+----------------------------+-----------------------------------------------------------+
| lots of MIPS but no I/O | `Home <../index.html>`__ | Lubarsky's Law of Cybernetic Entomology |
+--------------------------------------------+----------------------------+-----------------------------------------------------------+


How many time has it been that you enter your room, leave your phone, car keys and wallet on a table and 30
minutes later you don’t know where these essentials are?
Homes | Office Premises | Factories | Airports
Mission
The mission of MemorySquare is to ‘Have an eye watch for you, when you aren’t watching’. We’re not here to simply
connect people to objects, but people to people. At MemorySquare we envision a world where people feel secure,
efficient and empowered.
How it works?
With just a M
2 Camera installed in every room of your house, our application tracks and keeps a record of your essentials.
It helps you find them, when you cannot.
We can detect
thefts, intrusions, unexpected activity & alert in real-time.
September 2018
Defining the problem statement. Ideation and creating an outline of the solution. Founding of startup.
November 2018
Building the prototype. Further technical development in computer vision and the web app.
December 2018
Initial prototype development finished with working web app and computer vision algorithm.
February 2019
A ready MVP. Alpha Testing while starting implementing marketing activities to get the word out to understand product-market fit.
April 2019
Patent for technology and product idea. Beta Testing with a hardware prototype. Recruit people for product development and marketing.
June 2019
Further development of web app and camera. Collaborate with potential organizations to partner and implement/test the product.


Gateway
BOT
09-Nov-19 01:11 PM
[telegram] <Regnar> Where did you hear this? Komodo does what any good crypto project does, they inform exchanges of hard updates (exchanges will need to update their wallets) those exchanges determine what to do with their deposits and withdrawals before that point and handle the updates themselves (re @Ggokhangark: As far as I know kmd team asked them to block.)
[telegram] <Regnar> We don't control exchange wallets
[telegram] <Regnar> Or determine their risk policy with accepting deposits or withdrawals before an update
[telegram] <Ggokhangark> I said same with you Regnar. Komodo has asked Binance to block witdraw and deposits. So, what is wrong with this?-:) (re @Regnar: Where did you hear this? Komodo does what any good crypto project does, they inform exchanges of hard updates (exchanges will need to update their wallets) those exchanges determine what to do with their deposits and withdrawals before that point and handle the updates themselves)
(edited)
[telegram] <Regnar> It's wrong because Komodo did NOT ask Binance to do that (re @Ggokhangark: I said same with you Regnar. Komodo has asked Binance to block witdraw and deposits. So, what is wrong with this?-:))
[telegram] <Ggokhangark> I meant you have informed them about about hard update.
[telegram] <Regnar> Komodo informs them of upcoming hard update at the end of the month. That does not mean they have to, or even should disable wallets now
(edited)
[telegram] <Ggokhangark> Okay, I knew the answer but I mentioned it with wrong sentences. That s why I am going to delete my sentences above.
[telegram] <Regnar> Thank you. (re @Ggokhangark: Okay, I knew the answer but I mentioned it with wrong sentences. That s why I am going to delete my sentences above.)
[telegram] <Ggokhangark> Thank you for your warning. (re @Regnar: Thank you.)
[telegram] <Regnar> It is an important difference, one, informing exchanges of updates (what Komodo does) is good crypto project practice. The other (asking to disable deposits and withdrawals) implied a form of market manipulation which Komodo does not do, and doesn't even have the ability to do.
[telegram] <Regnar> (re @Ggokhangark: Thank you for your warning.)
[telegram] <Regnar> Thanks, just don't want someone reading that and thinking the Komodo team asked Binance to disable accounts to pump the price. That is not the case.
[telegram] <Regnar> I also prefer to explain why it is incorrect so others can see, instead of me just deleting stuff right away. But thanks for correcting it!
[telegram] <Pr898> (re @Suzy: Why pump?)
[telegram] <Pr898> (re @Suzy: Why more buyers?)
[telegram] <Pr898> Too funny


Namespace and template for generators.
Place generator implementations inside “lib/report_generators”, alongside this file. See below for module and filename details.
Albeit verbose, please use a module name prefix of
TrackRecordReportGenerator::
followed by a name of your
choice. To avoid collision with other future generators, include some kind
of unique-to-you string, such as capitalised reverse DNS string if you own
a domain. For example, core TrackRecord generators use names of the form
TrackRecordReportGenerator::UkOrgPond...
as I maintain the
domain “pond.org.uk”. Your module's filename drops out from this;
convert punctuation to single underscores and change everything to lower
case (track_record_report_generator_<foo>.rb
).
If you are not planning on adding in any other third party generators,
should any exist, then a globally unique name is unimportant - just never
use UkOrgPond
as part of your prefix.
Private methods you write in the module structure recommended for generators are indeed class-private, but risk namespace collision with other private methods in ReportsController (see “execution context” later). To avoid this, consider using a self-unique prefix for all of your private method names; again, reverse DNS approaches are good.
Base your implementation on the provided template in the form of the
TrackRecordReportGenerator
module - this is a dummy example
implementation of a kind of “nil generator” that doesn't do anything.
The module's structure and each public method that you must implement
are documented in-place. Please see the implementation file and read the
comments for details. The comments describe the formal API that must be
implemented. You must implement all documented methods unless explicitly
described as optional by associated comments.
Code in your module is run by an instance of ReportsController as part of
show
request handling. The controller extends itself with your
module's methods and calls them as if an integral part of itself.
You must not call any part of ReportController's bespoke internal API
unless you are prepared to track any changes to the implementation in
future TrackRecord releases, as this is considered internal API, not part
of the public interface for generators. You can however (and must) use
standard Rails calls, in particular render(...)
,
send_data(...)
or an equivalent at the end of generation to
send the generator's result to the user's web browser.
Modules TrackRecordReport
and
TrackRecordSections
, implemented in the lib
folder, are included by ReportsController. You will most
definitely need to be familiar with the report and section mechanism
therein in order to understand a raw report object and interpret its
contents to generate something to send to the browser. These modules form
part of the formal public API that your generator is able to call. This API
will not change unless explicitly documented in a release's change log.
Even then, any change will endeavour to be backwards compatible and require
no alterations to existing generators, though you might want to make
changes to take advantage of new features in the new API.
Application helper code is considered part of the internal TrackRecord implementation, but should you wish to use it at your own risk, the following pattern is recommended:
helper = Object.new.extend( ApplicationHelper ) helper.helper_method( ...params... )
Though there is a performance penalty from run-time extending a new object with helper methods and though there will be some context restrictions arising, this is the cleanest / most self-contained way to access that kind of functionality without risking name space collisions or other undesirable side effects.
If you want to look up bespoke message tokens you will have to add locale
files into config/locales
. Use a filename equal to your
generator's Ruby filename, but with the .en.yml
extension.
Since a Rails controller has unrestricted access to internationalisation
functions such as the t(...)
shortcut and since your code
executes as if part of a ReportsController instance, you can use
the Rails internationalisation API normally, without any restrictions.
If you want to render using templates, create a directory that sits
alongside your class's Ruby file, with the same name as the Ruby file
excluding the .rb
extension. Place your templates inside
there. Then render them with a relative path thus:
render :template => "../../lib/report_generators/<your_folder_name>/<foo>"
Other render types can be achieved with similar approaches. If you do not
defeat the use of a layout with :layout => false
then your
report will be rendered within the main content DIV of the application
layout. For generation of data that's intended to be downloaded rather
than displayed, using send_data
instead of render
is typically the most appropriate approach. The built-in CSV export
generator does this.
Remember that, as per documentation for the method in the
TrackRecordReportGenerator
module's comments, your
generate
implementation *must return nil
* to
indicate it was successful, else it returns a string that's shown to
the user in the flash
. Since showing an error means that ReportsController ends up doing its own
render of the report view, accidentally failing to return nil
will lead to double render errors if your generator has already rendered or
sent data.
If you want any private methods you can achieve this by defining them
inside a “self.extended” implementation as shown below (see actual
implementation in
lib/report_generators/track_record_report_generator.rb
), so
that you can include your own private methods and really have them private,
despite writing module code. See for example:
stackoverflow.com/questions/318850/private-module-methods-in-ruby
Even if your initial implementation has no private methods you should follow this pattern so that it's easy to add private code later.
# File lib/report_generators/track_record_report_generator.rb, line 263 def self.extended( base ) class << base private # Private methods go here... # # def some_private_method # ... # end end # class << base end
Generate a report of the given type using the given TrackRecordReport instance as the basis. This is always called from within the view context (via ERB, in practice) so you have access to helper methods, though TrackRecord's bespoke helpers are technically an internal API. If you use them, be prepared to have to update your code when they change. To avoid such issues, use only core Rails helpers.
The options hash is filled in with the form submission result of any options you specified via the “#invocation_options_for” method.
Return either 'nil' to indicate success, else return a string. Such a string is taken to be an error message and is shown to the user in the page 'flash' area, without any prefix or suffix text added. In the case of success, use “render” or “send_data” to present the report to the user via their browser, or cause the browser to download report data. If indicating failure, you MUST NOT perform rendering actions as TrackRecord will need to render a page reporting the error, so a double render exception would result if you'd already rendered something.
Only called for types your generator understands (see “understands?”).
# File lib/report_generators/track_record_report_generator.rb, line 248 def generate( type, report, options = {} ) nil end
Return an indication of options available for a report of the given type. If you have no options, return nil or an empty array; else an array of hashes. Each hash key indicates the kind of option to show in the form and each hash value describes the option's contents. The values are themselves hashes providing that description, as per the table below.
When your “generate” method is called, an optional bit of the Rails params hash is passed in. It's the bit containing the result of the submitted form options that you specified, so when you give names you want for form elements (again see table below), those names will end up as the keys in the hash that yield the submitted form values.
Top-level key Value ======================================================================== :checkbox A hash describing a checkbox: -------------------------------------------------------- :label User-visible label text :checked Initial on/off state (boolean) :id Form element ID, must be HTML-valid, appears in the form result hash passed to "generate". Only needs to be unique to your generator, as steps are taken externally to make sure the generated HTML uses a truly unique ID. A checked checkbox will appear in the options hash in "generate" as a key of the given ID and a value of "1". :radio A hash describing a radio: -------------------------------------------------------- :label User-visible label text :checked Initial on/off state (boolean) :name Radio group name; any radio buttons with the same name will belong to the same group. As with ":id" for checkboxes, only needs to be unique to your generator; must be HTML-valid. :id Form element ID, as for checkboxes. A selected radio button within a group will appear in the options hash in "generate" as a key of the given name and a value of the ID given for the selected item. :gap A gap that visually separates collections of options. Use a value of "true".
Options are displayed to the user in a vertical column in the same order as in the array (first array entry shown topmost).
Only called for types your generator understands (see “understands?”).
# File lib/report_generators/track_record_report_generator.rb, line 223 def invocation_options_for( type ) nil end
A generator must return 'true' if it understands how to generate reports of the given type. At the time of writing, known types are:
:task A standard task report without user details. In HTML, columns represent periods of time, rows represent tasks. :user A user summary report without time details. In HTML, columns represent users, rows represent tasks. :comprehensive A full report, like a task report but with the contributions of individual users provided on a per-task basis (three dimensions of data - time, tasks, users).
Depending on your generator's behaviour, it might not make sense to map your export capabilities to the three types offered by TrackRecord. In that case, you'll have to map the types as best you can, choosing appropriate button titles to convey the behaviour to the user (see “#invocation_button_title_for”). Bear in mind that a TrackRecordReport::Report object may omit information not required by the user for the HTML report they have initially viewed; for example, a tasks-only report may omit user-specific information.
# File lib/report_generators/track_record_report_generator.rb, line 160 def understands?( type ) false end


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The elastic-recheck project uses Elasticsearch to classify and track OpenStack gate failures. Documentation can be found here: http://docs.openstack.org/infra/elastic-recheck/. You can also learn more by reading this post on the Elasticsearch blog: OpenStack elastic-recheck: powered by the elk stack.


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Before Change
raw_data = csv.DictReader(f)
for row in raw_data:
survive_val = row.pop("survived")
yield {
"survived": convert_to_label(survive_val, _SURVIVED_DICT),
"features": {
name: FEATURE_DICT[name][1](value)
for name, value in row.items()
}
}
After Change
with tf.io.gfile.GFile(file_path) as f:
raw_data = csv.DictReader(f)
for i, row in enumerate(raw_data):
survive_val = row.pop("survived")
record = {
"survived": convert_to_label(survive_val, _SURVIVED_DICT),
"features": {
name: FEATURE_DICT[name][1](value)
for name, value in row.items()
}
}
if self.version.implements(tfds.core.Experiment.S3):
yield i, record
else:
yield record


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Dostana 2: THIS Bala Actor Joins The Cast Of Kartik Aaryan-Janhvi Kapoor Starrer
"Dostana 2" is being directed by Collin D'Cunha.
by IANS“Stree” fame actor Abhishek Banerjee is the latest addition to the cast of “Dostana 2“. He is currently shooting along with Kartik Aaryan and Janhvi Kapoor in Chandigarh.
“Dostana 2” is being directed by Collin D’Cunha.
Excited about the project, Abhishek said: “It feels great to be a part of ‘Dostana 2‘. ‘Dostana 1‘ remains one of my favorite films and I am just thankful to the universe. I have known Collin for sometime now and have worked with him as a casting director for ‘Secret Superstar’ as well. Also, I have known Kartik for some years now… so I am looking forward to have a great time on set with him.”
“Dostana 2” is a sequel to the 2008 film “Dostana” which was directed by Tarun Mansukhani. It featured Abhishek Bachchan, John Abraham and Priyanka Chopra in lead roles.
 Later, both fell in love with the same woman.
Apart from Kartik and Janhvi, debutant Lakshya is also playing one of the lead roles in “Dostana 2″.
Abhishek Banerjee was last seen in Bala which also stars Ayushmann Khurrana, Yami Gautam and Bhumi Pednekar.


Search result
4.5
Experience: 5 Years
Expertise: Appliances Repair, Home Shifting, Clean My Home.
we are always ready to welcome you!


This is the first line
My site will be a sport training and fitness tracking website:
1 Focus on running and basketball
2 Will have features to enter and track previous workouts
3 Links to instructional videos for each sport depending on skill
Assignment 2: Outline of main goals:
1)For the main home page you should be able to navigate to the desired sport you want to learn about or log your training for
2)Once you enter that specific sport then you will have options to log your training by either following a link to a pre-existing logger website (like mapMyRun.com) or maybe it will be implemented there. Also there will be a section for instructional videos that will be grouped by category of trainig. Ex: for basketball could have sections for:
a. Coaching
b. Shooting
c. Defense
d. Drills
e. Offensive set
f. ect...


Sensually Styled Definition Lists
Thoughts, have been shimmering in my head since the middle of the year 2003 when discussion on the CSS-Discuss about styling definition list (<dl>
), on ways I could style a definition list.
I have come up with three examples using a portion of the list of CSS Play examples. The first two are styled in much the manner of a table with the definition title being the left column and the definition comprising the left column and the third is a more whimsical style.
Unstyled Example
- Folder Tree List
- Nested lists styled to look like a folder tree.
- Drop Down Llama Menu
- A drop down menu that is triggered by hovering over a drop down marker instead of hovering over the menu label.
- Title Block with a Shock
- The use of the title tag as an extra blank tag set and the body tag as an extra container.
- Reformat the Table
- Use a table for its data structure but display in a non-table format.
- Image ReplacementóNo Span
- This example is based on the Background-Image to Replace Text method; but now with no extra span.
- Combination of CSS Tricks for a Menu
- A menu that uses for different CSS tricks to create a dynamic menu.
- Multiple Columns of Equal Length
- A three column layout with the columns of equal length.
- Enlarger Button Menu
- An example of a menu using icon that each icon will grow larger when hovering over it.
- Mark Your Jump
- Show users where they jumped in a page.
- CSS Pop-Up Menus
- CSS based menus that pop-up instead of down.
Example One
This first example is suppose to look like a two column table.
Both the dd
and the dt
float to the left with an assigned width.
The dt
clears the left side to prevent it from wrapping around.
dl{
float: left;
width: 97%;
padding: 1%;
margin-left: -1em;
margin-bottom: 1em;
border-width: 1em;
border-style: solid;
border-color: #EEF3F9;
}
dl dt{
float: left;
clear: left;
width: 30%;
padding: .5em 5% 1em 5%;
margin: 0 -1px 0 0;
border-right: 1px solid #A5BFD6;
font-weight: bold;
}
dl dd{
width: 50%;
padding: .5em 4.5% 1em 5%;
float: left;
margin: 0 ;
border-left: 1px #A5BFD6 solid;
clear: right;
}
dl> dd + dt,
dl > dd + dt + dd{
border-top: 1px #A5BFD6 solid;
}
- Folder Tree List
- Nested lists styled to look like a folder tree.
- Drop Down Llama Menu
- A drop down menu that is triggered by hovering over a drop down marker instead of hovering over the menu label.
- Title Block with a Shock
- The use of the title tag as an extra blank tag set and the body tag as an extra container.
- Reformat the Table
- Use a table for its data structure but display in a non-table format.
- Image ReplacementóNo Span
- This example is based on the Background-Image to Replace Text method; but now with no extra span.
- Combination of CSS Tricks for a Menu
- A menu that uses for different CSS tricks to create a dynamic menu.
- Multiple Columns of Equal Length
- A three column layout with the columns of equal length.
- Enlarger Button Menu
- An example of a menu using icon that each icon will grow larger when hovering over it.
- Mark Your Jump
- Show users where they jumped in a page.
- CSS Pop-Up Menus
- CSS based menus that pop-up instead of down.
Example Two
The second example is another table inspired looked.
This time I used a background image to create the column effect.
Since the "columns" are fluid (40%, 60%), then the left 40% needs to be the background for the left column and the remaining part is the background for the right column.
Example Two
- Folder Tree List
- Nested lists styled to look like a folder tree.
- Drop Down Llama Menu
- A drop down menu that is triggered by hovering over a drop down marker instead of hovering over the menu label.
- Title Block with a Shock
- The use of the title tag as an extra blank tag set and the body tag as an extra container.
- Reformat the Table
- Use a table for its data structure but display in a non-table format.
- Image ReplacementóNo Span
- This example is based on the Background-Image to Replace Text method; but now with no extra span.
- Combination of CSS Tricks for a Menu
- A menu that uses for different CSS tricks to create a dynamic menu.
- Multiple Columns of Equal Length
- A three column layout with the columns of equal length.
- Enlarger Button Menu
- An example of a menu using icon that each icon will grow larger when hovering over it.
- Mark Your Jump
- Show users where they jumped in a page.
- CSS Pop-Up Menus
- CSS based menus that pop-up instead of down.
Example Three
The third example is a more whimsical look for the definition list.
- Folder Tree List
- Nested lists styled to look like a folder tree.
- Drop Down Llama Menu
- A drop down menu that is triggered by hovering over a drop down marker instead of hovering over the menu label.
- Title Block with a Shock
- The use of the title tag as an extra blank tag set and the body tag as an extra container.
- Reformat the Table
- Use a table for its data structure but display in a non-table format.
- Image ReplacementóNo Span
- This example is based on the Background-Image to Replace Text method; but now with no extra span.
- Combination of CSS Tricks for a Menu
- A menu that uses for different CSS tricks to create a dynamic menu.
- Multiple Columns of Equal Length
- A three column layout with the columns of equal length.
- Enlarger Button Menu
- An example of a menu using icon that each icon will grow larger when hovering over it.
- Mark Your Jump
- Show users where they jumped in a page.
- CSS Pop-Up Menus
- CSS based menus that pop-up instead of down.
The CSS (dl.css) for all the examples.
Return to CSS Play.
© 2004 Seamus P. H. Leahy
You may take and improve upon this.


In example shown in fig:example:multiple:funcalls, main generates a random number and prints it before going further with other processing. In case, programmer knows she or he is not going to use again, the same address can be taken by . Possibly one can also rewrite the program as shown in figure fig:example:memory:overlay.
As we can see function takes a pointer to memory region, function pointer and variable number of argument to be supplied to the called function. When the function executed, instructions of the function, whose pointer is supplied as parameter, are brought to specific region of the memory mentioned in the argument. This avoids any memory write backs and provides faster processing. Also this reduces the amount of memory required for the applications [42].
In the tool we added support to handle memory overlays. For data overlay we treat each new memory overlay as new memory block allocation and old block as removal. The new instruction overlay and call to those instructions is treated as simple function call. This allows CBMC to handle memory overlays in simplest manner. In future work one can add support to verify the dangling pointers due to overlays.
ash 2012-09-13


THE EXORCIST
Review by John Beachem
* * * * 1/2
Directed by: William Friedkin Written by: William Peter Blatty
Regan MacNeil (Linda Blair) isn't exactly your average twelve year old girl living in Georgetown.  Her mother, Chris (Ellen Burstyn), has tried every doctor she can find, but they've been no help. After a psychiatrist tries hypnosis and is attacked by Regan, it is suggested she try more unorthodox methods. She gets in touch with Father Damien Karras (Jason Miller), a psychiatrist/priest at a local church. Father Karras is going through a spiritual crisis of his own, since his mother died just recently and he is questioning his faith. Nevertheless, he decides to visit Regan and determines she may, in fact, be possessed by a demon. The church decides to attempt an exorcism to remove the spirit, but that means calling in Father Merrin (Max von Sydow), the only man they know of who has performed one before. So Father Merrin travels to Georgetown, despite his health problems, and teams up with Father Karras to take on the demon in Regan.
While watching the "new and improved" version of William Peter Blatty's "The Exorcist", it occurred to me that I probably should have gone back and watched the original one more time. Afterall, I haven't seen the original for about six or seven years. So, I had to decide if I was going to review the film based on the changes, or simply review it as I would an original cut. Frankly, I still can't decide, so I'm going to try both. Even now, twenty seven years after its release, it's difficult to put your finger on just what it is that makes "The Exorcist" so eerie. Yes, I say eerie rather than scary. I know it scared audiences stiff back in '73, but "The Exorcist" has been downgraded from terrifying to really creepy over the years. Don't get me wrong, it's still an excellent film, it just can't compete with modern scares. So what makes the film so creepy? I know part of it is the way Friedkin sets up shots, but I think what really gets to us is the script, and specifically how well the characters are drawn. These characters seem like real people, with real problems, and as a result it hits close to home when things happen to them.
A lot of what makes the film's characters so real is that the actors portraying them are quite gifted. First up we have Jason Miller ("Rudy"), who almost underacts as Father Karras. I was sorry to see that Miller decided to go on to a career in writing rather than acting, because he brings a real humanity and depth to his character. On the other hand, we have Ellen Burstyn ("Alice Doesn't Live Here Anymore"), who overacts with abandon. If I had any faith in the Academy awards, I'd have been shocked by the fact that she received a nomination for her part in this film. Next up is Linda Blair (who has gone on to do nothing of import), who does an admirable job for being so young. Frankly, I'm a little shocked that her parents allowed her to appear in this movie. I can't help but think some of her actions here are what influenced her to go into the exploitation films later in her career ("Red Heat", anyone?). Lee J. Cobb ("How the West was Won") is excellent, if sadly underused, as the likeable Lt. Kinderman, who investigates a murder Regan may have committed. Finally we have Max von Sydow ("Needful Things") himself. I hate to use '90s jargon, but I simply have to utilize this term in regards to Sydow: he is the man. From an early scene where he squares off against a satanic statue on a hill, to a scene where Regan throws up on his face while he keeps reading from his bible, you know this is the guy you want to call to fight the forces of evil.
I said I was going to point out the few changes I actually noticed, so here goes. First, the infamous "spider walk" has been integrated into the film. I know peoples' opinions of this scene vary drastically, but I belong to that camp which finds the scene impossibly creepy. That one, brief scene alone gave me nightmares back when I first saw it, and I still can't handle seeing it now. Don't ask me to explain why I react that way, because I can't. Second, the film's ending has been altered slightly, and this was a bad idea. In the original version, Ellen hands Father Dyer (Reverend William O'Malley) the medallion dropped by Father Karras. Father Dyer walks to the house with it, stares down at those menacing concrete stairs, and the picture fades. In the new version the above events occur, but Father Dyer gives it back. No, wait, it doesn't stop there. He then meets up with Lieutenant Kinderman and the two talk about going to lunch and a movie. They wander off together and the film ends. Why these changes? I haven't the foggiest, but it ends the film on entirely the wrong note. The only other change I noticed was a minor one, but I'll note it anyway. In the middle of the exorcism, Father Karras and Father Merrin sit at the top of the stairs and have a philosophical discussion. It's an interesting discussion, but I don't think it was a necessary addition. It detracts from the action that takes place before and after.
I've often heard that the only people who will find "The Exorcist" scary are those who have deep religious beliefs. I don't think that's quite true. I don't have any deep religious beliefs (I'm a deist), but when I first saw the film it scared me silly. I've decided that a lot of the film's scares come from two elements: the set design, and the soundtrack. I didn't think it was possible for a simple concrete staircase to look eerie, but Friedkin pulls it off. A lot of his success is due to keeping the film's lighting low and giving each set a claustrophobic feel. As for the music, well, the music is everything. Jack Nitzsche's original score is brilliant, but I'd never want to buy the soundtrack since I'd never be able to sleep at night. I didn't think it was possible for "Tubular Bells" to inspire such feelings of dread. Are there flaws to "The Exorcist"? Of course, but they're negligible. The most prominent is the amount of time spent on the film's setup. It takes about an hour to get to the really spooky stuff. There is one scene I want to point out, one which makes me laugh like a madman whenever I see it. Regan is floating above the bed, the two priests are throwing holy water at her and shouting "The power of Christ commands you." They yell it over, and over, and over again. I didn't count the number of times but it must have been at least fifteen. I just want to reach in, shake Father Merrin, and shout "We get the point!" Oh well. The original version of "The Exorcist" runs a full 122 minutes. The new version runs a long 131. I'd recommend the film to those who want to see how to make a classic horror film and give it four and a half out of five stars.
Comments? Send to<EMAIL_ADDRESS>Past reviews can be found at: http://www.epinions.com/user-elerad or http://us.imdb.com/ReviewsBy?John+Beachem
* * * * * - One of the best movies of the year. * * * * - Great flick, try and catch this one. * * * - Okay movie, hits and misses. * * - Pretty bad, see it at your own risk. * - See this one only if you enjoy pain.
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Carol's Notes - Stage 0
HTML stands for Hyper Text Markup Language. which is what defines most web pages.
HTML is made up of the following...
Text content shows what you see.
Markup shows what your page will look like.
References to other documents, such as images are possible.
Links to other web pages are possible too.
HTML uses tags in a certain structure to create a webpage, such as !doctype, head, title, body, etc.
Tags are what HTML uses to mark text in a certain way.
A tag normally has an opening tag, text, then a closing tag.
Tags that do not contain content are called "void" tags.
I learned how to use bold and to provide emphasis via the italics tags.
Tags can be either inline or block.
Inline tags examples are break, bold, emphasis, void tags, new lines, etc.
Block tags create an invisible block around the content. Examples of this is paragraph and div.
Attributes, ATTR equal a vallue.
The
anchor tag creates links to other websites.
I can add images using the image tag and src attribute.
#This is the image structure, but I do not have an image. img src="xx" alt="no image"
#Here is the instructor note duplication attempt.
1 - What a Web Page is
A web page is a text document written in a language called HTML. Web browers read these documents, and then interpret and display them.
2 - How Coding Works
Coding happens when programmers write text in a language that a computer can understand. The computer can then follow the instructions the programmer wrote.
3 - Computers are Stupid
Programmers need to write exactly the way a computer understands (also known as writing with correct "syntax")
4 - Programmers Can't Remember Everything
There are too many details to keep everything in your head. And that's okay. If you forget how to make test italic on HTML, you can always just look it up.
5 - Basic HTML Vocabulary
You will be using HTML in the next few lessons, so it will be helpful if you're comfortable with the jargon.
Tag: An HTML tag is always contained within angled brackets. Most tags have an opening tag and a closing tag. Some tags, called "void" tags do not require a closing tag.
Element: A HTML element referes to everything within a set of opening and closing tags.
Attribute: This is a property of a HTML element.


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