(c) Software Lab. Alexander Burger
The Pilog select/3 predicate is rather complex, and quite different from other predicates. This document tries to explain it in detail, and shows some typical use cases.
select
takes at least three arguments:
We will describe these arguments in the following, but demonstrate them first on a concrete example.
The examples in this document will use the demo application in "app/*.l" (see also "A Minimal Complete Application"). To get an interactive prompt, start it as
$ pil app/main.l -main +
:
As ever, you can terminate the interpreter by hitting Ctrl-D
.
For a first, typical example, let's write a complete call to solve that returns a list of articles with numbers between 1 and 4, which contain "Part" in their description, and have a price less than 100:
(let (Nr (1 . 4) Nm "Part" Pr '(NIL . 100.00))
(solve
(quote
@Nr Nr
@Nm Nm
@Pr Pr
(select (@Item)
((nr +Item @Nr) (nm +Item @Nm) (pr +Item @Pr))
(range @Nr @Item nr)
(part @Nm @Item nm)
(range @Pr @Item pr) ) )
@Item ) )
This expression will return, with the default database setup of "app/init.l",
a list of exactly one item ({3-2})
, the item with the number 2.
The let
statement assigns values to
the search parameters for number Nr
, description Nm
and price Pr
. The Pilog query (the first argument to
solve
) passes these values to the Pilog variables @Nr
,
@Nm
and @Pr
. Ranges of values are always specified by
cons pairs, so (1 . 4)
includes the numbers 1 through 4, while
(NIL . 100.00)
includes prices from minus infinite up to one
hundred.
The list of unification variables is
(@Item)
The list of generator clauses is
((nr +Item @Nr) (nm +Item @Nm) (pr +Item @Pr))
The filter clauses are
(range @Nr @Item nr)
(part @Nm @Item nm)
(range @Pr @Item pr)
As stated above, the first argument to select
should be a list
of variables. These variables communicate values (via unify
) from the select
environment to the enclosing Pilog environment.
The first variable in this list (@Item
in the above example) is
mandatory, it takes the direct return value of select
. Additional
optional variables may be unified by clauses in the body of select
,
and return further values.
The second argument to select
is a list of "generator clauses".
Each of these clauses specifies some kind of database B-Tree +index
, to be traversed by
select
, step by step, where each step returns a suitable single
database object. In the simplest case, they consist like here just of a relation
name (e.g. nr
), a class (e.g. +Item
), an optional hook
specifier (not in this example), and a pattern (values or ranges, e.g. (1 . 4)
or "Part").
The generator clauses are the core of 'select'. In some way, they behave
analog to or/2
, as each of them
generates a sequence of values. However, the generator clauses behave different,
as they will not generate an exhaustive set of values upon backtracking, one
after the other, where the next gets its turn when the previous one is
exhausted. Instead, all clauses will generate their values quasi-parallel, with
a built-in optimization so that successful clauses will be called with a higher
probability. "Successful" means that the returned values successfully pass
select
's filter clauses.
In its basic form, a generator clause is equivalent to the db/3
predicate, stepping through a single
B-Tree. The clause
(nr +Item @Nr)
generates the same values as would be produced by a stand-alone Pilog clause
(db nr +Item @Nr @Item)
as can be seen in the following two calls:
: (? (db nr +Item (1 . 4) @Item))
@Item={3-1}
@Item={3-2}
@Item={3-3}
@Item={3-4}
-> NIL
: (? (select (@Item) ((nr +Item (1 . 4)))))
@Item={3-1}
@Item={3-2}
@Item={3-3}
@Item={3-4}
-> NIL
select
is mostly useful if more than one generator clause is
involved. The tree search parameters of all clauses are meant to form a logical
AND
. Only those objects should be returned, for which all search
parameters (and the associated filter clauses) are valid. As soon as one of the
clauses finishes stepping through its database (sub)tree, the whole call to
select
will terminate, because further values returned from other
generator clauses cannot be part of the result set.
Therefore, select
would find all results most quickly if it
could simply call only the generator clause with the smallest (sub)tree.
Unfortunately, this is usually not known in advance. It depends on the
distribution of the data in the database, and on the search parameters to each
generator clause.
Instead, select
single-steps each generator clause in turn, in a
round-robin scheme, applies the filter clauses to each generated object, and
re-arranges the order of generator clauses so that the more successful clauses
will be preferred. This process usually converges quickly and efficiently.
A generator clause can also combine several (similar) indexes into a single one. Then the clause is written actually as a list of clauses.
For example, a generator clause to search for a customer by phone number is
(tel +CuSu @Tel)
If we want to search for a customer without knowing whether a given number is a
normal or a mobile phone number, then a combined generator clause searching both
index trees could look like
((tel +CuSu @Tel mob +CuSu @Tel))
The generator will first traverse all matching entries in the +Ref
tree of the tel
relation, and
then, when these are exhausted, all matching entries in the mob
index tree.
But generator clauses are not limited to the direct B-Tree interaction of
db/3
. They can also traverse trees of
associated objects, and then follow +Link
/ +Joint
relations, or tree relations like
+Ref
to arrive at database objects
with a type suitable for return values from select
.
To locate appropriate objects from associated objects, the generator clause can contain - in addition to the standard relation/class/pattern specification (see Generator Clauses above) - an arbitrary number of association specifiers. Each association specifier can be
+Link
or
+Joint
will be followed, or a
+List
of those will be traversed to
locate appropriate objects.
+index
to be traversed to locate appropriate
objects.
+Ord
(order) objects. Orders can
be searched for order number and date, customer name and city, item description
and supplier name:
(select (@@)
((nr +Ord @Nr) (dat +Ord @Dat)
(nm +CuSu @Cus (cus +Ord))
(ort +CuSu @Ort (cus +Ord))
(nm +Item @Item (itm +Pos) ord)
(nm +CuSu @Sup (sup +Item) (itm +Pos) ord) )
While (nr +Ord @Nr)
and (dat +Ord @Dat)
are direct
index traversals, (nm +CuSu @Cus (cus +Ord))
iterates the
nm
(name) index of customers/suppliers +CuSu
, and then
follows the +Ref
+Link
of the cus
relation to the
orders. The same applies to the search for city names via ort
.
The most complex example is (nm +CuSu @Sup (sup +Item) (itm +Pos)
ord)
, where the supplier name is searched in the nm
tree of
+CuSu
, then the +Ref
tree
(sup +Item)
tree is followed to locate items of that supplier, then
all positions for those items are found using (itm +Pos)
, and
finally the ord
+Joint
is followed to arrive at the order object(s).
In the most general case, a generator clause can be an arbitrary Pilog query.
Often this is a query to a database on a remote machine, using the remote/2
predicate, or some other resource
not accessible via database indexes, like iterating a +List
of +Link
s or +Joint
s.
Syntactically, such a generator clause is recognized by the fact that its CAR is a Pilog variable to denote the return value.
The second argument is a list of Pilog variables to communicate values (via
unify
) from the surrounding
select
environment.
The third argument is the actual list of clauses for the nested query.
Finally, an arbitrary number of association specifiers may follow, as described in the Indirect Object Associations section.
We can illustrate this with a somewhat useless (but simple) example, which replaces the standard generators for item number and supplier name
(select (@Item)
((nr +Item @Nr) (nm +CuSu @Sup (sup +Item)))
...
with the equivalent form
(select (@Item)
((@A (@Nr) ((db nr +Item @Nr @A)))
(@B (@Sup) ((db nm +CuSu @Sup @B)) (sup +Item)) )
That is, a query with the db/3
tree
iteration predicate is used to generate appropriate values.
The generator clauses produce - independent from each other - lots of
objects, which match the patterns of individual generator clauses, but not
necessarily the desired result set of the total select
call.
Therefore, the filter clauses are needed to retain the good, and throw away the
bad objects. In addition, they give feedback to the generator for optimizing its
traversal priorities (as described in Generator Clauses).
select
then collects all objects which passed through the
filters into a unique list, to avoid duplicates which would otherwise appear,
because most objects can be found by more than one generator clause.
Technically, the filters are normal Pilog clauses, which just happen to be
evaluated in the context of select
. Arbitrary Pilog predicates can
be used, though there exist some predicates (e.g. isa/2
, same/3
, bool/3
, range/3
, head/3
, fold/3
, part/3
or tolr/3
) especially suited for that task.
Assume we want to know how many pieces of item #2 were sold in the year 2007.
Then we must find all +Pos
(position) objects referring to that
item and at the same time belonging to orders of the year 2007 (see the class
definition for +Pos
in "app/er.l"). The number of sold pieces is
then in the cnt
property of the +Pos
objects.
As shown in the complete select
below, we will hold the item
number in the variable @Nr
and the date range for the year in
@Year
.
Now, all positions referred by item #2 can be found by the generator clause
(nr +Item @Nr (itm +Pos))
and all positions sold in 2007 can be found by
(dat +Ord @Year pos)
However, the combination of both generator clauses
(select (@Pos)
((nr +Item @Nr (itm +Pos)) (dat +Ord @Year pos)) )
will probably generate too many results, namely all positions with item #2 OR from the year 2007. Thus, we need two filter clauses. With them, the full search expression will be:
(?
@Nr 2 # Item number
@Year (cons (date 2007 1 1) (date 2007 12 31)) # Date range 2007
(select (@Pos)
((nr +Item @Nr (itm +Pos)) (dat +Ord @Year pos)) # Generator clauses
(same @Nr @Pos itm nr) # Filter item number
(range @Year @Pos ord dat) ) ) # Filter order date
For completeness, let's calculate the total count of sold items:
(let Cnt 0 # Counter variable
(pilog
(quote
@Nr 2
@Year (cons (date 2007 1 1) (date 2007 12 31))
(select (@Pos)
((nr +Item @Nr (itm +Pos)) (dat +Ord @Year pos))
(same @Nr @Pos itm nr)
(range @Year @Pos ord dat) ) )
(inc 'Cnt (get @Pos 'cnt)) ) # Increment total count
Cnt ) # Return count
As mentioned under Filter Clauses, some predicates
exists mainly for select
filtering.
Some of these predicates are of general use: isa/2
can be used to check for a type,
same/3
checks for a definite value,
bool/3
looks if the value is
non-NIL
. These predicates are rather independent of the +relation
type.
range/3
checks whether a value
is within a given range. This could be used with any +relation
type, but typically it will be
used for numeric (+Number
) or time
( +Date
and +Time
) relations.
Other predicates make only sense in the context of a certain +relation
type:


|
Innate immune functions
|
|
|
| GO:0002218 |
activation of innate immune response |
1, 2 |
|
| GO:0032874 |
positive regulation of stress-activated MAPK cascade |
1, 5 |
|
| GO:0010744 |
positive regulation of macrophage derived foam cell differentiation |
1, 4 |
|
| GO:0031663 |
lipopolysaccharide-mediated signaling pathway |
|
2, 6 |
| GO:0042590 |
antigen processing and presentation of exogenous peptide antigen via MHC class I |
|
2, 5 |
| GO:0051607 |
defense response to virus |
|
2, 4 |
| GO:0006954 |
inflammatory response |
4, 6 |
2, 6 |
| GO:0090023 |
positive regulation of neutrophil chemotaxis |
4, 6 |
5, 6 |
| GO:0070098 |
chemokine-mediated signaling pathway |
4, 6 |
6 |
| GO:0042119 |
neutrophil activation |
1 |
|
| GO:0007159 |
leukocyte cell-cell adhesion |
1 |
|
| GO:0030836 |
positive regulation of actin filament depolymerization |
1 |
|
| GO:0030043 |
actin filament fragmentation |
1 |
|
| GO:0032088 |
negative regulation of NF-kappaB transcription factor activity |
|
2 |
| GO:0033026 |
negative regulation of mast cell apoptotic process |
|
2 |
| GO:0042742 |
defense response to bacterium |
|
2 |
| GO:0002755 |
MyD88-dependent toll-like receptor signaling pathway |
|
2 |
| GO:0045351 |
type I interferon biosynthetic process |
|
2 |
| GO:0033630 |
positive regulation of cell adhesion mediated by integrin |
4 |
|
| GO:0043303 |
mast cell degranulation |
4 |
|
| GO:0016032 |
viral process |
|
4 |
| GO:0032760 |
positive regulation of tumor necrosis factor production |
|
4 |
| GO:0034142 |
toll-like receptor 4 signaling pathway |
|
4 |
| GO:0034145 |
positive regulation of toll-like receptor 4 signaling pathway |
|
4 |
| GO:0045080 |
positive regulation of chemokine biosynthetic process |
2 |
2 |
| GO:0001816 |
cytokine production |
4 |
4 |
| GO:0016477 |
cell migration |
4 |
4 |
| GO:0032757 |
positive regulation of interleukin-8 production |
|
5 |
| GO:0043123 |
positive regulation of I-kappaB kinase/NF-kappaB signaling |
|
5 |
| GO:0050930 |
induction of positive chemotaxis |
5 |
5 |
| GO:0050776 |
regulation of immune response |
5 |
5 |
| GO:0050930 |
induction of positive chemotaxis |
6 |
|
| GO:0050776 |
regulation of immune response |
6 |
|
| GO:0050766 |
positive regulation of phagocytosis |
|
6 |
| GO:0071346 |
cellular response to interferon-gamma |
|
6 |
| GO:0071347 |
cellular response to interleukin-1 |
|
6 |
| GO:0006958 |
complement activation, classical pathway |
|
6 |
| GO:0007250 |
activation of NF-kappaB-inducing kinase activity |
|
6 |
| GO:0030593 |
neutrophil chemotaxis |
|
6 |
| GO:0045071 |
negative regulation of viral genome replication |
6 |
6 |
| GO:0034097 |
response to cytokine |
6 |
6 |
|
Adaptive immune functions
|
|
|
| GO:0042110 |
T cell activation |
2, 6 |
4 |
| GO:0031295 |
T cell costimulation |
|
5, 6 |
| GO:2000553 |
positive regulation of T-helper 2 cell cytokine production |
|
2 |
| GO:2000401 |
regulation of lymphocyte migration |
|
5 |
|
Prostanoid synthesis and fatty acid metabolism
|
|
|
| GO:0042761 |
very long-chain fatty acid biosynthetic process |
1, 4 |
|
| GO:0006631 |
fatty acid metabolic process |
|
1, 4, 6 |
| GO:0001516 |
prostaglandin biosynthetic process |
4 |
1 |
| GO:0070328 |
triglyceride homeostasis |
1 |
|
| GO:0006631 |
fatty acid metabolic process |
|
1 |
| GO:0030497 |
fatty acid elongation |
4 |
|
|
Oxidative stress
|
|
|
| GO:0042744 |
hydrogen peroxide catabolic process |
2, 4 |
|
| GO:0098869 |
cellular oxidant detoxification |
|
2, 6 |
| GO:0006979 |
response to oxidative stress |
4 |
6 |
| GO:0042542 |
response to hydrogen peroxide |
4, 5, 6 |
4 |
| GO:0045454 |
cell redox homeostasis |
1 |
|
| GO:0034614 |
cellular response to reactive oxygen species |
1 |
|
| GO:0032981 |
mitochondrial respiratory chain complex I assembly |
2 |
|
| GO:0034599 |
cellular response to oxidative stress |
2 |
|
| GO:0035694 |
mitochondrial protein catabolic process |
2 |
|
| GO:0019430 |
removal of superoxide radicals |
|
2 |
| GO:2000377 |
regulation of reactive oxygen species metabolic process |
|
5 |
|
Damage and starvation
|
|
|
| GO:1902902 |
negative regulation of autophagosome assembly |
4 |
|
| GO:0006508 |
Proteolysis |
4 |
4 |
| GO:0043161 |
proteasome-mediated ubiquitin-dependent protein catabolic process |
|
5 |
| GO:0097352 |
autophagosome maturation |
2 |
|
|
Vasculogenesis and regeneration
|
|
|
| GO:0090051 |
negative regulation of cell migration involved in sprouting angiogenesis |
1 |
|
| GO:0030148 |
sphingolipid biosynthetic process |
1 |
|
| GO:0044344 |
cellular response to fibroblast growth factor stimulus |
1 |
|
| GO:0090156 |
cellular sphingolipid homeostasis |
|
2 |
| GO:1901888 |
regulation of cell junction assembly |
4 |
|
| GO:0010575 |
positive regulation of vascular endothelial growth factor production |
5 |
|
| GO:0001570 |
Vasculogenesis |
6 |
|
| GO:0060055 |
angiogenesis involved in wound healing |
6 |
|
| GO:2001214 |
positive regulation of vasculogenesis |
|
6 |
| GO:0016525 |
negative regulation of angiogenesis |
|
6 |


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Fundraising is limitless. At Aldo’s, we are able to customize any fundraising event to fit your needs. From your first phone call until your organization’s prompt product delivery and all the steps in between...we have your best interests at heart! Whether you are new to fundraising or a seasoned pro, our staff will work with you to maximize the success of your program and customize it to suit your needs and goals. With no upfront costs, you are ensured to have a profitable and riskfree fundraising program. Aldo’s is locally owned in Washington, Missouri and serves the Franklin County and surrounding areas. With this being said, you can be sure that dealing with a local company can be easily accessible for your fundraising needs and your fundraising money will stay in the local economy. Because of our commitment to excellence in all areas of our operations, we can promise you are going to love the Aldo’s experience!
Commitment to excellence in all aspects of service
Advise you in reaching your fundraising goal
Customize a program for your group’s individual needs
Deliver only the highest quality products that will keep your buyers happy and wanting more
Promise to make your experience as worry-free as possible
We supply all the sales materials
You receive your funds UP FRONT
Free delivery on orders over 200 pizzas
We make it easy!
We want to help you raise money. We’re always looking for new ways, but we already have one proven method that can help you:
How much could your organization make then???
Profit Projections - Pizza based on a $3.00 profit per item average
Custom designed programs to fit your fundraising goals!
# of sellers
10
20
30
50
Items Sold: 5
$150
$300
$450
$750
Items Sold: 10
$300
$600
$900
$1500
Items Sold: 15
$450
$900
$1350
$2250
Items Sold: 20
$600
$1200
$1800
$3000
Company policy requires our drivers to collect payment before they offload your order. Please be ready with your preferred method of payment. We accept the following: Organizational check, money order, cashier’s check or if you have made prior arrangements with our office, a purchase order # or voucher #. We cannot accept personal checks, starter checks or large amounts of cash. We appreciate your cooperation with this transaction.
Once we get the payment out of the way we will then present you with a full computer generated accounting book of your sale. It will then compile the totals for the entire group. Each individual’s order will be alphabetized and assigned a number. This number will correspond to the number you will see on the box packed with the completed order.
Please allow sufficient time and adequate space for the driver to stage your order. Time and space considerations can greatly influence your overall satisfaction with the entire delivery process. A simple guideline would be to schedule your delivery 15-20 minutes before your announced pickup time for groups of 20 or less and as much as 90 minutes for large groups (larger groups please consult with our office for help in your time calculations). Adequate space goes a long way to making your delivery and setup as smooth as possible. Remember, we never turn down volunteer help. The more volunteer help you have will directly affect how smooth the overall success of the fundraiser. Your orders will be boxed according to seller and staged in numerical order. When your sellers arrive please have them check and confirm their orders before they leave the staging area. Any discrepancies should be reported to the chairperson at this time. You, as the chairperson, must report those to our office for correction on the next business day. Boxes will include a number, a name, the number of boxes required to complete the order, a packing list and an organizational identification. Make sure everyone picks up the right number of boxes!
Product is frozen! Please adjust your allowable pickup times when external conditions dictate (summer)! Please provide our office with a cell phone # or phone # where you can be reached at time of delivery . Our driver may need directions or may need to let you know of any complications (traffic). We are very proud of the service we provide you and are continually trying to improve it. We hope your fund raising efforts have been $ucce$$ful and enjoyable and we hope to have you back soon!!!


| Student_ID | Last Name | First Name | Class_ID | Class | Modify | |
|---|---|---|---|---|---|---|
| 6 | Diggory | Cedric | 2 | Defense Against the Dark Arts | ||
| 6 | Diggory | Cedric | 4 | Herbology | ||
| 2 | Granger | Hermione | 2 | Defense Against the Dark Arts | ||
| 2 | Granger | Hermione | 5 | Charms | ||
| 4 | Lovegood | Luna | 5 | Charms | ||
| 5 | Malfoy | Draco | 1 | Potions | ||
| 1 | Potter | Harry | 2 | Defense Against the Dark Arts | ||
| 3 | Weasley | Ronald | 3 | Divination |


generate-peptides
Usage:
crux generate-peptides [options] <protein fasta file>
Description:
This command takes as input a protein FASTA file and outputs the corresponding list of peptides, as well as a matched list of decoy peptides and decoy proteins. Decoys are generated either by reversing or shuffling the non-terminal amino acids of each peptide. The program will shuffle each peptide multiple times to attempt to ensure that there is no overlap between the target and decoy peptides. For homopolymers, this is not possible. In this case, the occurrence of these target/decoy overlaps is recorded in the log file.
The program considers only the standard set of 20 amino acids. Peptides containing non-amino acid alphanumeric characters (BJOUXZ) are skipped. Non-alphanumeric characters are ignored completely.
Input:
protein fasta file
– The name of the file in FASTA format from which to retrieve proteins.
Output:
The program writes files to the folder crux-output
by default. The name of the output folder can be set by the user using the --output-dir
option. The following files will be created:
generate-peptides.target.txt
– A text file containing the target peptides, one per line. Each line has three tab-delimited columns, containing the peptide sequence, the m+h mass of the unmodified peptide, and a comma-delimited list of protein IDs in which the peptide occurs.generate-peptides.decoy.txt
– A text file containing the decoy peptides, one per line. Each line has three tab-delimited columns, containing the peptide sequence, the m+h mass of the unmodified peptide, and a comma-delimited list of protein IDs in which the peptide occurs. There is a one-to-one correspondence between targets and decoys.generate-peptides.proteins.decoy.txt
– a FASTA format file containing decoy proteins, in which all of the peptides have been replaced with their shuffled or reversed counterparts. Note that this file will only be created if the enzyme specificity is "full-digest" and no missed cleavages are allowed.generate-peptides.params.txt
– a file containing the name and value of all parameters/options for the current operation. Not all parameters in the file may have been used in the operation. The resulting file can be used with the --parameter-file option for other crux programs.generate-peptides.log.txt
– a log file containing a copy of all messages that were printed to the screen during execution.
Options:
-
Peptide properties
--min-mass <float>
– The minimum mass (in Da) of peptides to consider. Default =200
.--max-mass <float>
– The maximum mass (in Da) of peptides to consider. Default =7200
.--min-length <integer>
– The minimum length of peptides to consider. Default =6
.--max-length <integer>
– The maximum length of peptides to consider. Default =50
.--isotopic-mass average|mono
– Specify the type of isotopic masses to use when calculating the peptide mass. Default =mono
.--clip-nterm-methionine T|F
– When set to T, for each protein that begins with methionine, tide-index will put two copies of the leading peptide into the index, with and without the N-terminal methionine. Default =false
.
-
Decoy database generation
--seed <string>
– When given a unsigned integer value seeds the random number generator with that value. When given the string "time" seeds the random number generator with the system time. Default =1
.--decoy-format none|shuffle|peptide-reverse|protein-reverse
– Include a decoy version of every peptide by shuffling or reversing the target sequence or protein. In shuffle or peptide-reverse mode, each peptide is either reversed or shuffled, leaving the N-terminal and C-terminal amino acids in place. Note that peptides appear multiple times in the target database are only shuffled once. In peptide-reverse mode, palindromic peptides are shuffled. Also, if a shuffled peptide produces an overlap with the target or decoy database, then the peptide is re-shuffled up to 5 times. Note that, despite this repeated shuffling, homopolymers will appear in both the target and decoy database. The protein-reverse mode reverses the entire protein sequence, irrespective of the composite peptides. Default =shuffle
.--keep-terminal-aminos N|C|NC|none
– When creating decoy peptides using decoy-format=shuffle or decoy-format=peptide-reverse, this option specifies whether the N-terminal and C-terminal amino acids are kept in place or allowed to be shuffled or reversed. For a target peptide "EAMPK" with decoy-format=peptide-reverse, setting keep-terminal-aminos to "NC" will yield "EPMAK"; setting it to "C" will yield "PMAEK"; setting it to "N" will yield "EKPMA"; and setting it to "none" will yield "KPMAE". Default =NC
.
-
Enzymatic digestion
--enzyme no-enzyme|trypsin|trypsin/p|chymotrypsin|elastase|clostripain|cyanogen-bromide|iodosobenzoate|proline-endopeptidase|staph-protease|asp-n|lys-c|lys-n|arg-c|glu-c|pepsin-a|elastase-trypsin-chymotrypsin|custom-enzyme
– Specify the enzyme used to digest the proteins in silico. Available enzymes (with the corresponding digestion rules indicated in parentheses) include no-enzyme ([X]|[X]), trypsin ([RK]|{P}), trypsin/p ([RK]|[]), chymotrypsin ([FWYL]|{P}), elastase ([ALIV]|{P}), clostripain ([R]|[]), cyanogen-bromide ([M]|[]), iodosobenzoate ([W]|[]), proline-endopeptidase ([P]|[]), staph-protease ([E]|[]), asp-n ([]|[D]), lys-c ([K]|{P}), lys-n ([]|[K]), arg-c ([R]|{P}), glu-c ([DE]|{P}), pepsin-a ([FL]|{P}), elastase-trypsin-chymotrypsin ([ALIVKRWFY]|{P}). Specifying --enzyme no-enzyme yields a non-enzymatic digest. Warning: the resulting index may be quite large. Default =trypsin
.--custom-enzyme <string>
– Specify rules for in silico digestion of protein sequences. Overrides the enzyme option. Two lists of residues are given enclosed in square brackets or curly braces and separated by a |. The first list contains residues required/prohibited before the cleavage site and the second list is residues after the cleavage site. If the residues are required for digestion, they are in square brackets, '[' and ']'. If the residues prevent digestion, then they are enclosed in curly braces, '{' and '}'. Use X to indicate all residues. For example, trypsin cuts after R or K but not before P which is represented as [RK]|{P}. AspN cuts after any residue but only before D which is represented as [X]|[D]. Default =<empty>
.--digestion full-digest|partial-digest|non-specific-digest
– Specify whether every peptide in the database must have two enzymatic termini (full-digest) or if peptides with only one enzymatic terminus are also included (partial-digest). Default =full-digest
.--missed-cleavages <integer>
– Maximum number of missed cleavages per peptide to allow in enzymatic digestion. Default =0
.
-
Input and output
--decoy-prefix <string>
– Specifies the prefix of the protein names that indicate a decoy. Default =decoy_
.--overwrite T|F
– Replace existing files if true or fail when trying to overwrite a file if false. Default =false
.--fileroot <string>
– The fileroot string will be added as a prefix to all output file names. Default =<empty>
.--output-dir <string>
– The name of the directory where output files will be created. Default =crux-output
.--parameter-file <string>
– A file containing parameters. See the parameter documentation page for details. Default =<empty>
.--verbosity <integer>
– Specify the verbosity of the current processes. Each level prints the following messages, including all those at lower verbosity levels: 0-fatal errors, 10-non-fatal errors, 20-warnings, 30-information on the progress of execution, 40-more progress information, 50-debug info, 60-detailed debug info. Default =30
.


Former UK PM Blair: Chances of Labour majority government are negligible if polls are right
by Dhwani MehtaAt a Reuters Newsmaker event on Monday, former British Prime Minister Tony Blair said that the UK was in a mess.
Further Comments:
The UK is testing whether a major developed nation can turn its politics into chaos and survive without serious economic and social damage.
If the buoyancy of the world economy should falter, "we will be in deep trouble".
The public aren't convinced either main party deserve to win this election outright.
Both major parties are peddling "fantasies".
No deal Brexit is not off the table, it is the probable outcome if conservatives stick to their plans.
Labour party is promising a revolution.
The problem with revolutions is never how they begin but how they end.
Suggests second referendum followed by another election is required.
This election is the weirdest of my life time.
We must urgently reconstruct the sensible mainstream of British politics.
If not, "laboratory experiment in populism running riot, will end very badly for our nation".
It looks like, if the polls are right, that there will be a Conservative majority.
Chances of Labour majority government are negligible if polls are right.
People want this mess to end.
All the spending promises being made are treating people like fools.
I will vote Labour - I have to.


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You may have a duplicated student number, employee number or CWL in the system. Please contact administrator, or the LFS Learning Centre<EMAIL_ADDRESS>for help.


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 But for some reason I had always wanted to have that 'special' drug of choice. I had tried x, weed, coke, acid, mushrooms, and nothing ever really hit me as good as meth. I loved meth. I loved how it stung my nose when I snorted it, I loved the metally weird taste in my mouth it gave me when I smoked it.
Everything else I had ever done I didn't like. I didn't like the way I felt before, during or after the fact. Except for meth. I didn't have a long run in with it, because of my history with family drug abuse but here is my story I want to share with you.
I met this guy at my work. He was such a character, I loved being around him. Anything he said I just totally ate up. My co-worker was telling me about her frequent experiences with meth, and I was interested in trying it. The guy, well call him M for now, well he talked me into buying my own quarter of it, and he would buy his own. I dabbled a little in it, it wasn't a major deal to me at the time. The next time we bought some, I had most of the money, and M didn't have much, but he still bought it own baggy. I on the other hand got a deal. I bought a quarter but got almost a half.
I noticed that at first I was just doing it for a little more energy. Then after a couple weeks, I noticed I would start taking it to work with me, and while I was on my smoke break I would snort a little bump in the bathroom. I would stay up for days at a time, and I knew it was wrong, I felt like shit, but I didn't care. On my days off I would do lines and lines at a time with my co-worker, and we would go to the beach and just chill there all day long. We felt like we where on top of the world.
I was working a lot at the time, so I was able to spend a lot of cash on it. I would buy 2 or 3 quarter grams a week, thinking that if I only buy quarter grams, I wouldn't be such a crack head. I hadn't smoked it yet. For some reason I felt like if I did that that I would really be an addict.
Some time passed where I wouldn't do any for a while, and then I would, and wouldn't again. Then I had to go to my sisters in new jersey for 2 weeks to go visit her and her family. I felt fine, I didn't crave it. I just told my friends to have some ready for me for when I got back. And they did. This is where it got bad. I was staying at my friend D's house. He was really bad into meth. Spending almost every dime he always made at work. This was fine to me at the time. I was just staying there for a while because my mom still had company at her house. So while I was staying there I started to smoke it. I loved it. But I still loved snorting it more.
One night, my co-worker stopped by and she and I went to the bath room to do a couple lines. While she was cutting them up I looked at myself in the mirror. I am a pretty heavy girl, and for the first time I looked skinny, but it was ugly, I looked sick and nasty. I put on some makeup after we got done doing some lines, and went back out to party. The rest of the night I couldn't think of anything but what I looked like, and what I must look like to the people at work, to my mom, and to whoever else. It scared me. So I got myself out. I told myself no more. I can handle it. I told D about it, and about how I feel he should quit too. He was a lot worse off than I was.
Anyhow.. to make this long story short. I had to move to new jersey, because of my addiction. I couldn't even stay in my town anymore. I wanted it so much, but I knew I couldn't have it. At the same time I knew that if I stayed in that town I would eventually get back on it. I was clean for 2 months before I moved to new jersey. I barely have any friends there anymore, the only person I have left is my best friend J and my boyfriend Dk.
 I had plans on going to college, moving in with D and Dk. But because of meth, I blew my college money, I didn't save anything. I lost a lot of good friends and I had to move away from the town I grew up in. It might be my own fault. But I feel that if anyone gets as bad into like I did, or even worse, that they have ruined their life.
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.


| Interface | Description |
|---|---|
| QuerySpec |
Contains the information necessary to generate a SQL statement to
retrieve a set of cells.
|
| Segment.ExcludedRegion |
Definition of a region of values which are not in a segment.
|
| SegmentBuilder.SegmentConverter |
Functor to convert a segment header and body into a
SegmentWithData . |
| SegmentCacheManager.Command<T> | |
| SegmentCacheManager.Message | |
| SegmentCacheManager.Visitor |
Visitor for messages (commands and events).
|
| SegmentDataset |
A
SegmentDataset holds the values in a segment. |
| SegmentLoader.RowList.Handler |
| Class | Description |
|---|---|
| AbstractColumnPredicate |
A
AbstractColumnPredicate is an abstract implementation for
StarColumnPredicate . |
| AbstractColumnPredicate.Factory |
Factory for
StarPredicate s and
StarColumnPredicate s. |
| AbstractQuerySpec |
Base class for
QuerySpec implementations. |
| AbstractSegmentBody |
Abstract implementation of a SegmentBody.
|
| AggQuerySpec |
An AggStar's version of the
QuerySpec . |
| Aggregation |
A
Aggregation is a pre-computed aggregation over a set of
columns. |
| AggregationKey |
Column context that an Aggregation is computed for.
|
| AggregationManager |
RolapAggregationManager manages all Aggregation s
in the system. |
| AggregationManager.PinSetImpl |
Implementation of
RolapAggregationManager.PinSet
using a HashSet . |
| AggregationOnDistinctCountMeasuresTest |
AggregationOnDistinctCountMeasureTest tests the
Distinct Count functionality with tuples and members. |
| AggregationOnInvalidRoleTest | |
| AggregationOnInvalidRoleWhenNotIgnoringTest | |
| AndPredicate |
Predicate which is the intersection of a list of predicates.
|
| CellRequest |
A
CellRequest contains the context necessary to get a cell
value from a star. |
| DenseDoubleSegmentBody |
Implementation of a segment body which stores the data inside
a dense primitive array of double precision numbers.
|
| DenseDoubleSegmentBodyTest | |
| DenseDoubleSegmentDataset |
Implementation of
DenseSegmentDataset that stores
values of type double . |
| DenseIntSegmentBody |
Implementation of a segment body which stores the data inside
a dense primitive array of integers.
|
| DenseIntSegmentBodyTest | |
| DenseIntSegmentDataset |
Implementation of
DenseSegmentDataset that stores
values of type Object . |
| DenseNativeSegmentDataset |
Implementation of
DenseSegmentDataset that stores
values of type double . |
| DenseObjectSegmentBody |
Implementation of a segment body which stores the data inside
a dense array of Java objects.
|
| DenseObjectSegmentDataset |
Implementation of
DenseSegmentDataset that stores
values of type Object . |
| DenseSegmentBodyTestBase<T extends AbstractSegmentBody,V> |
This is a base class for two heirs.
|
| DenseSegmentDataset |
A
DenseSegmentDataset is a means of storing segment values
which is suitable when most of the combinations of keys have a value
present. |
| DrillThroughCellRequest |
Subclass of
CellRequest that allows to specify
which columns and measures to return as part of the ResultSet
which we return to the client. |
| DrillThroughQuerySpec |
Provides the information necessary to generate SQL for a drill-through
request.
|
| DrillThroughQuerySpecTest | |
| GroupingSet |
A collection
of
Segment s that can be represented
as a GROUP BY GROUPING SET in a SQL query. |
| GroupingSetsList |
Class for using GROUP BY GROUPING SETS sql query.
|
| GroupingSetsList.Cohort |
Collection of
SegmentDataset that have the
same dimensionality and identical axis values. |
| ListColumnPredicate |
Predicate which is the union of a list of predicates, each of which applies
to the same, single column.
|
| ListPredicate |
Base class for
AndPredicate and OrPredicate . |
| LiteralStarPredicate |
A constraint which always returns true or false.
|
| MemberColumnPredicate |
Column constraint defined by a member.
|
| MemberTuplePredicate |
Predicate which constrains a column to a particular member, or a range
above or below a member, or a range between two members.
|
| MinusStarPredicate |
A
StarPredicate which evaluates to true if its
first child evaluates to true and its second child evaluates to false. |
| MockSegmentCache |
Mock implementation of
SegmentCache that is used for automated
testing. |
| OrPredicate |
Predicate which is the union of a list of predicates.
|
| RangeColumnPredicate |
Predicate constraining a column to be greater than or less than a given
bound, or between a pair of bounds.
|
| Segment |
A
Segment is a collection of cell values parameterized by
a measure, and a set of (column, value) pairs. |
| SegmentArrayQuerySpec |
Provides the information necessary to generate a SQL statement to
retrieve a list of segments.
|
| SegmentAxis |
Collection of values of one of the columns that parameterizes a
Segment . |
| SegmentBuilder |
Helper class that contains methods to convert between
Segment and SegmentHeader , and also
SegmentWithData and SegmentBody . |
| SegmentBuilder.SegmentConverterImpl |
Implementation of
SegmentBuilder.SegmentConverter that uses an
AggregationKey
and CellRequest as context to
convert a SegmentHeader . |
| SegmentBuilder.StarSegmentConverter |
Implementation of
SegmentBuilder.SegmentConverter that uses a star measure
and a list of StarPredicate . |
| SegmentBuilderTest |
Test for
SegmentBuilder . |
| SegmentCacheManager |
Active object that maintains the "global cache" (in JVM, but shared between
connections using a particular schema) and "external cache" (as implemented
by a
SegmentCache . |
| SegmentCacheManager.CompositeSegmentCache |
Makes a collection of
SegmentCacheWorker objects (each of which
is backed by a SegmentCache appear to be a SegmentCache. |
| SegmentCacheManager.FlushCommand |
Command to flush a particular region from cache.
|
| SegmentCacheManager.FlushResult |
Result of a
SegmentCacheManager.FlushCommand . |
| SegmentCacheTest |
Test suite that runs the
BasicQueryTest but with the
MockSegmentCache active. |
| SegmentCacheWorker |
Utility class to interact with the
SegmentCache . |
| SegmentLoader |
The
SegmentLoader queries database and loads the data into
the given set of segments. |
| SegmentLoader.RowList |
Collection of rows, each with a set of columns of type Object, double, or
int.
|
| SegmentLoader.RowList.Column | |
| SegmentLoader.RowList.DoubleColumn | |
| SegmentLoader.RowList.IntColumn | |
| SegmentLoader.RowList.LongColumn | |
| SegmentLoader.RowList.NativeColumn | |
| SegmentLoader.RowList.ObjectColumn | |
| SegmentLoaderTest |
Test for
SegmentLoader |
| SegmentLoaderTest.MyDelegatingInvocationHandler | |
| SegmentWithData |
Extension to
Segment with a data set. |
| SparseSegmentBody |
Implementation of a segment body which stores the data of a
sparse segment data set into a dense array of java objects.
|
| SparseSegmentDataset |
A
SparseSegmentDataset is a means of storing segment values
which is suitable when few of the combinations of keys have a value present. |
| StarPredicates |
Utilities for
StarPredicate s and
StarColumnPredicate s. |
| ValueColumnPredicate |
A constraint which requires a column to have a particular value.
|
| Enum | Description |
|---|---|
| SegmentBuilderTest.Order |
| Exception | Description |
|---|---|
| CellRequestQuantumExceededException |
Signals that there are enough outstanding cell requests that it is
worth terminating this phase of execution and asking the segment cache
for all of the cells that have been asked for.
|
| SegmentCacheManager.AbortException |
Exception which someone can throw to indicate to the Actor that
whatever it was doing is not needed anymore.
|


The Access Control Status Tab allows starting of new Access Control testing and displays the results obtained. For each User and for each URL attacked by ZAP, an entry is added with information about:
| Access Control Testing concepts | for a short introduction to Access Control Testing | |
| Access Control Context options | to learn about the related context options |


Rice Cooker Red Beans and Rice
Ingredients
- 1½ cup black beans
- 1½ cup rice
- 3 cups broth
- 1 can diced tomatoes
- Seasoning
- Cumin
- Garlic powder
- Dried onion flakes
- Pepper
Directions
- Dump all of the ingredients into a rice cooker.
- Cook until all the liquid is absorbed.
Sharing is caring!


#include <openfile.h>
Public Member Functions | |
| OpenFile (int sector) | |
| ~OpenFile () | |
| void | Seek (int position) |
| int | Read (char *into, int numBytes) |
| int | Write (char *from, int numBytes) |
| int | ReadAt (char *into, int numBytes, int position) |
| int | WriteAt (char *from, int numBytes, int position) |
| int | Length () |
| FileHeader * | GetFileHeader () |
| char * | GetName () |
| void | SetName (char *) |
| bool | isDir () |
Public Attributes | |
| ObjectTypeId | typeId |
Private Attributes | |
| char * | name |
| FileHeader * | hdr |
| int | seekPosition |
| int | fSector |
This is the "real" implementation, that turns these operations into read and write disk sector requests. In this baseline implementation of the file system, we don't worry about concurrent accesses to the file system by different threads -- this is part of the assignment.
|
|
Open a file whose header is located at "sector" on the disk |
|
|
Close the file.
|
|
|
return the file's header
|
|
|
return the file's name
|
|
|
return true if the file is a directory
|
|
|
Return the number of bytes in the file. Return the number of bytes in the file (this interface is simpler than the UNIX idiom -- lseek to end of file, tell, lseek back |
|
|
Read/write bytes from the file, starting at the implicit position. Return the # actually read/written, and increment position in file. |
|
|
Read/write bytes from the file, bypassing the implicit position. |
|
|
Set the position from which to start reading/writing -- UNIX lseek |
|
|
Set the file's name.
|
|
|
Write a portion of a file, starting from seekPosition. Return the number of bytes actually written, and as a side effect, increment the current position within the file. Implemented using the more primitive WriteAt.
|
|
|
Write a portion of a file, starting at "position". Return the number of bytes actually written, but has no side effects (except that Write modifies the file, of course). There is no guarantee the request starts or ends on an even disk sector boundary; however the disk only knows how to write a whole disk sector at a time. We must first read in any sectors that will be partially written, so that we don't overwrite the unmodified portion. We then copy in the data that will be modified, and write back all the full or partial sectors that are part of the request.
|
|
|
The file's first sector.
|
|
|
Header for this file.
|
|
|
the file's name.
|
|
|
Current position within the file.
|
|
|
signature to make sure the file is in the correct state
|


Adobe Photoshop Assessment
Q1. How can you open a file selected in Lightroom CC for retouching in Photoshop CC?
Q2. How can you undo one or more changes just made to an image?
Q3. How can you select a specific layer? (find all that apply)
Q4. How can you avoid having transparent edges along the edge of a panoramic photo while retaining the largest image size?
- [ ] Choose the Cylindrical method
- [ ] Choose the Perspective method.
- [ ] Adjust the Boundary Warp slider.
- [x] Select Auto Crop.
Q5. How do you crop a document without permanently discarding pixels along the edge?
- [ ] Clear the Delete Cropped Pixels box.
- [ ] Select the Delete Cropped Pixels box.
- [x] Use the Smart Crop tool.
- [ ] Hold the Alt (Windows) or Option (Mac) key.
Q6. What feature should you use to simulate the in-camera development recipes applied by manufacturers with your own raw files?
- [ ] presets
- [x] Camera Matching profiles
- [ ] calibration
- [ ] snapshots
Q7. When working in an RGB document, which option is NOT a method for the Select Color Range command?
- [ ] Sampled Colors
- [ ] Skin Tones
- [x] Key (Blacks)
- [ ] Out of Gamut
Q8. How do you access the Auto Color Correction Options dialog box?
- [ ] Select Image > Auto Tone.
- [x] Select Image > Auto Color.
- [ ] Alt-click (Option-click) the Auto button in the Properties panel when you have a Levels or Curves adjustment layer targeted in the Layers panel.
- [ ] Hold down the Alt (Option) key and select Image > Auto Color.
A. Content-Aware Scale
B. Scale
C. Warp
D. Distort
E. Perspective Warp
- [ ] C,D
- [ ] D,E
- [x] [B,C ] (https://helpx.adobe.com/photoshop/using/free-transformations-images-shapes-paths.html#:~:text=The%20Free%20Transform%20command%20lets,to%20switch%20between%20transformation%20types.)
- [ ] C,E
Q10. What is considered the minimum DPI for photographic-quality inkjet printing?
- [x] 300
- [ ] 100
- [ ] 1,000
- [ ] 72
Q11. Which scanner type is capable of producing the highest resolution scans?
- [x] flatbed scanner
- [ ] slide scanner
- [ ] all-in-one unit
- [x] drum scanner
- [ ] PSD
- [x] PNG
- [ ] TIFF
- [ ] BMP
Q13. What is the best way to save multiple images into a single PDF?
- [ ] Save each PDF separately first and then combine them.
- [ ] Check to see if you have Acrobat Professional installed.
- [x] Use the PDF Presentation command.
- [ ] Click File > Export > Export Layers to Files.
Q14. What option cannot be adjusted with the Print command directly in the Print window?
- [ ] size of the image
- [ ] position on the page.
- [x] paper quality.
- [ ] color management policies
Q15. Which statement best describes the Quick Mask feature?
- [ ] It allows you to use the Pen tool to edit a selection
- [x] It allows you to use the Brush tool to create or refine a selection
- [ ] It allows you to duplicate a mask quickly.
- [ ] It allows you to convert a vector mask to a layer mask.
Q16. What Photoshop feature was used to convert this image to black and white?
- [ ] Black and White adjustment layer
- [ ] Posterize
- [x] Threshold
- [ ] Image > Mode > Grayscale
Q17. In the image shown, why is Sharpen Edges grayed out?
- [ ] The filter doesn’t work on a 16-bit image.
- [ ] The filer is not correctly installed.
- [ ] The filter doesn’t work on a 32-bit image.
- [x] The filter requires a selection to be made first.
Q18. In the image shown, which Camera Raw feature was used to restrict the graduated filter to avoid the statue?
- [x] Adjustment Brush
- [ ] Depth Range Mask
- [ ] Luminance Range Mask
- [ ] Color Range Mask
Q19. What can you use to save a common crop size?
- [ ] tool sets
- [ ] preferences
- [ ] modifier keys
- [x] tool presets
- [x] Guided
- [ ] Vertical
- [ ] Level
- [ ] Full
Q21. To reduce the file size of a PDF, what should you do?
- [ ] Upsample large images
- [ ] Convert 8-bit images to 16-bit
- [x] Apply compression to the document
- [ ] all of these answers
Q22. Which image adjustment is null available as an adjustment layer?
- [ ] Levels
- [x] Shadows/Highlights
- [ ] Curves
- [ ] Hue/Saturation
- [ ] grouped with the Eyedropped tool
- [ ] Image > Mode > Red Eye
- [ ] Edit > Red Eye
- [x] grouped with the Spot Healing Brush tool
- [x] Contiguous
- [ ] Anti-alias
- [ ] Auto-Enhance
- [ ] Sample All Layers
Q25. Where should you click to open a dialog box in which you can then choose to open a raw file as a Smart Object?
Q26. Which option would you use to clone while respecting perspective planes?
- [ ] Patch
- [x] Vanishing Point
- [ ] Clone Stamp
- [ ] Healing Brush
Q27. In order to run a filter on an entire video file, what must you do first?
- [ ] Convert the video file to an image sequence.
- [x] Convert the video file to a Smart Object.
- [ ] Actually, you cannot use filters on video files.
- [ ] Convert the video file to an animated gif.
Q28. Which option would you use to clone while respecting perspective planes?
- [ ] Patch
- [x] Vanishing Point
- [ ] Clone Stamp
- [ ] Healing Brush
- [ ] Photoshop EPS
- [ ] Photoshop PDF
- [x] Large Document Format
- [ ] Photoshop PSD
- [ ] JPEG
- [ ] GIF
- [x] PNG
- [ ] Photoshop EPS
- [ ] that the tool is currently deselected
- [ ] tool options
- [ ] that the tool is currently selected
- [x] grouped or hidden tools
Q32: Which command makes it easier to adjust selected areas of color in two images in order to make them similar?
- [ ] Match Color
- [ ] Replace Color
- [x] Hue/Saturation
- [ ] Levels
Q33: If you scan a film or slide negative, which command turns it into a positive?
- [ ] Reverse
- [ ] Threshold
- [x] Invert
- [ ] Inverse
Q34: A filter recipe can be saved as an action and set to your desktop for drag-and-drop usage by converting the filter recipe into a _.
- [x] droplet
- [ ] batch
- [ ] scriptlet
- [ ] image process
- [ ] Refine Edge
- [ ] Quick Select
- [x] Magic Wand
- [ ] Lasso
Q36: To use blending modes with a filter, choose the _ command.
- [ ] Mix
- [ ] Fade
- [ ] Smooth
- [x] Blend
Prove video link of my assignment done(passed >70%): https://www.youtube.com/watch?v=3TLGPOWE5SA


No NEFT charges for savings account holders from January 2020, RBI tells banks
by TIMESOFINDIA.COMHighlights
- The Reserve Bank had earlier said that it had done away with charges on NEFT and RTGS (Real-time gross settlement) transactions
- In a statement, the central bank also proposed to "operationalise the acceptance development fund to increase acceptance infrastructure with effect from January"
NEW DELHI: The Reserve Bank of India (RBI) on Friday mandated banks "not to charge savings bank account customers for online transactions in the NEFT (National Electronic Funds Transfer) system with effect from January 2020.
The Reserve Bank had earlier said that it had done away with charges on NEFT and RTGS (Real-time gross settlement) transactions.
In a statement, the central bank also proposed to "operationalise the acceptance development fund to increase acceptance infrastructure with effect from January."
"In order to provide an impetus to digital funds movement, it has been decided to do away with the charges levied by the Reserve Bank for transactions processed in the RTGS and NEFT systems. Banks will be required, in turn, to pass these benefits to their customers. Instructions to banks in this regard will be issued within a week," the central bank stated.
The RTGS system is meant for large-value instantaneous fund transfers, while the NEFT system is used for fund transfers of up to Rs 2 lakh.


Choose from the dropdown and select a country to view its clean-up activities trend.
The line chart allows reader to hover over each data point to view the number of total clean-ups. Global clean-up activities observe a drop in February, March and April which may be due to the COVID-19 pandemic.


Event Location:
Microsoft Ottawa
100 Queen St, Suite 500
Ottawa, Ontario, Canada
Abstract:
Elasticity is one of the main promises of cloud computing. The cloud has given us the ability to programmatically add or remove resources to an application and dynamically respond to our workload volume to allow for cost efficient, high performing solutions. However, achieving this elasticity in a transparent way can be a challenge in itself. In particular, dynamically scaling the database tier can be difficult due to having to deal with distribution schemes, data movement, application routing and the actual increase or decrease of the database resources. Azure SQL Database and the Elastic Scale .NET API combine to provide a solution to these challenges in an easy to use but powerful set of capabilities. In this session we will demo the elastic scale API, elastic db pools, elastic query and elastic database jobs and how they combine to bring database elasticity in your own application and take advantage of true cloud optimized infrastructure!
Speaker(s): Warner Chaves,
Abstract:
DBA’s are constantly faced with challenges in maintaining a healthy SQL Server environment. Monitoring our database servers, deploying database code changes and performing database restores are just a few examples of a day in the life of a DBA. As workloads increase, performing these tasks manually introduces more opportunity for human error and time starts to become our bottleneck. The only option if you want to stay above water is to become more efficient at what you do. Enter automation. Enter PowerShell. Initially released in 2006, PowerShell has grown to become Microsoft's premier scripting language on the Windows platform. This presentation will begin with a brief overview of the PowerShell language itself, but the primary focus will be on how to interface with SQL Server to help automate your database environment.
Speaker(s): Chris Sommer,
Abstract:
You’ve crafted your geo data set in Power Query in Excel, then moved it to your Power Pivot model and joined with all other tables. Now you want to visualize your data points using Power Map in Excel or tempted to export your existing data model to Power BI and explore it using Power BI Globe custom visualization. Does Power BI Globe visualization replace the Power Map application in Excel? Can you explore your geo data facts sufficiently using the Power BI Globe only? And do Power BI Globe and Excel Power Map compete with each other or they’re just friends? Let’s try to explore this together.
Speaker(s): Rayis Imayev,
Abstract:
SQL Server 2016 New Features
Speaker(s): Edwin M Sarmiento,
Abstract:
In this session we will check the advantages of performance that In-Memory tables provides and how they evolved in SQL Server 2016. If you are planning to implement IN-Memory tables, check a performance comparison between 2014 and 2016, or just get to know how this technology works, this is the session you don#180;t want to miss. Let's Get Ready To Rumble!!
Speaker(s): Alejandro Cordero,
Abstract:
As DBAs we are often stuck at the mercy of higher ups and Project Managers for completion of our assigned tasks/ projects. In this session we wil actually take an arbitrary application and its affiliated databases and go throught the tasks/resources needed to accomplish the task. We will think and act like a Project Manager and DBA rolled into one. This will surely help you advance your career within organization and help you think ahead of time.
Speaker(s): Paresh Motiwala,
Abstract:
SSIS has been around for the past decade and this 2016 version brings a lot a interesting features. This session will talk about SSIS 2016 and how it can now interact with Microsoft Azure HDInsight and storage.
Speaker(s): Christian Cote,
Abstract:
Analysis Services Tabular is an in memory analytics engine introduced in SQL Server 2012. It has shown to be a quick and effective way to transform your organization with modern analytics. Join Phillip and learn how easy it is to create a tabular solution and provide valuable insight into your organization's data. This is a demo heavy session and you should be able walk away knowing how to create your own tabular model.
Speaker(s): Phillip Labry,
Abstract:
The war of the cloud providers continues and database services is one of the many arenas. These services provide a platform that reduces management by trading off detailed control of your underlying OS and hardware. In this session we will do a comparison of the two most popular platforms for SQL Server: Amazon RDS and Azure SQL Database and explore the strengths and weaknesses of each one.
Speaker(s): Warner Chaves,
Abstract:
Did you think you could dodge bullets with SQL Server? Well, with some of these techniques, you won't have to. Learn some of the newer language elements in SQL server: Recursive CTE's, Composable DML, the MERGE statement, Row numbering and table-valued parameters. This fast-paced session that is almost exclusively demos is sure to leave you with a few ideas to make your TSQL development life easier.
Speaker(s): Michael DeFehr,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://cr.linkedin.com/in/alejandrocorderocr
Contact: http://sqlturbo.com
DBA with Over 10 years of experience. Focused on SQL Server development , performance tuning, High Availability. Scrum Master Certified, MCTS, MCSA, Entrepreneur and Author at SQLTurbo.com. Currently working as technical leader for database consultants in Pythian Company. Regular speaker at SQL Saturdays in Latin America ( Costa Rica, Guatemala, Colombia) and virtual chapters( In-Memory chapter, Spanish Chapter). Have presented in SQL Saturday Ottawa in Canada.
Contact: http://phillip.labry.com
Phillip Labry is a Senior BI Consultant and Trainer with over 20 years experience in SQL Server and over 30 in IT. He has been lucky enough to work on data projects spanning telecom, banking, retail, law enforcement, health care, insurance, financial services and energy sectors. As a national consultant he provides training and builds solutions utilizing the full MS BI stack. He is an active member of the Madison, WI PASS chapter and speaks at events in the USA and Canada.
LinkedIn: http://ca.linkedin.com/in/warnerchaves/
Contact: http://sqlturbo.com
Warner is a SQL Server MCM, Data Platform MVP and Principal Consultant at Pythian, a global Canada-based company specialized in DBA services. A brief stint in .NET programming led to his early DBA formation working for enterprise customers in Hewlett-Packard ITO organization. From there he transitioned to his current position at Pythian, building and managing data solutions in many industry verticals while leading a highly talented team of Data Platform consultants.
LinkedIn: http://ca.linkedin.com/in/mdefehr
Contact: http://mikedefehr.com
Michael DeFehr is an independent SQL Server consultant based in Winnipeg, Canada. He is focused on database administration and development using Microsoft SQL Server. A SQL Server MVP, Professional Engineer and MCITP in both Database Development and Administration, Mike has spent the past 15 years producing and maintaining database solutions. Mike specializes in the relational and storage engines and his solutions emphasize performance and simplicity.
LinkedIn: https://www.linkedin.com/in/cjsommer
Contact: http://www.cjsommer.com
Chris started in computing and I.T. in the mid to late 1990’s. After the dust had settled from Y2K, he found himself a bit more focused and working with database servers on the Unix platform. His first exposure to SQL Server was in 2007 and he has been working on that platform ever since. Chris is currently a Senior SQL DBA with a focus on reliability, stability and performance. He truly enjoys the building tools with PowerShell to help his fellow DBA#39;s manage their ever growing environment.
LinkedIn: https://ca.linkedin.com/in/ccote
Contact: http://bi-blogger.typepad.com/
Christian Coté is an IT professional with more than 15 years of experience working in data warehouse and business intelligence projects. Christian developed an expertise in data warehousing over the years and designed many ETL/BI processes using a range of tools on multiple platforms. He's been presenting at several conferences and code camps. He currently co-leads the SQL Server PASS chapter in Montreal as well as Global French SQL PASS Chapter. He is also a Microsoft Data Platform Most Valuable Professional (MVP).
LinkedIn: http://ca.linkedin.com/in/warnerchaves/
Contact: http://sqlturbo.com
Warner is a SQL Server MCM, Data Platform MVP and Principal Consultant at Pythian, a global Canada-based company specialized in DBA services. A brief stint in .NET programming led to his early DBA formation working for enterprise customers in Hewlett-Packard ITO organization. From there he transitioned to his current position at Pythian, building and managing data solutions in many industry verticals while leading a highly talented team of Data Platform consultants.
LinkedIn: http://www.linkedin.com/in/pareshmotiwala
Paresh Motiwala a Azure/Big Data enthusiast, Manager of Database Platform teams has led several large SQL implementations, migrations and upgrades. He has managed multi terabyte OLTP databases. He has also been a Sr. SQL DBA and a Solutions Architect in Fortune 100 companies. He helps/organizes and speaks at many SQL Saturdays, Azure Bootcamp, Azure Datafests and User Groups(Boston BI UG, NESQL, PASS PD VG and PASS DBA VG). He is certified in Big Data Analytics, FinTech, PMP, Public Speaking, Business Communications. He is a avid singer, cook, open networker, and stand-up comedian. He teaches public speaking, debating, interviewing and group discussion skills and mentors children around the globe via www.circlesofgrowth.com
LinkedIn: http://ca.linkedin.com/in/edwinmsarmiento
Contact: http://www.EdwinMSarmiento.com
Edwin M Sarmiento is the Managing Director of 15C, a consulting and training company that specializes in designing, implementing and supporting SQL Server infrastructures. He is a 12-year former Microsoft Data Platform MVP and Microsoft Certified Master from Ottawa, Canada (but he’s originally from the Philippines) specializing in high availability, disaster recovery and system infrastructures running on the Microsoft server technology stack. His background in Unix has taken him to the world of DevOps and Docker to containerize SQL Server. He is very passionate about technology but has interests in music, professional and organizational development, leadership and management matters when not working with databases.
LinkedIn: http://ca.linkedin.com/in/rimayev
Contact: http://datanrg.blogspot.ca/
Database professional with hands-on database design, data analysis, and reporting skills. I believe that I can help to make this intricate world of data to be more structured and well understood. Born in USSR; graduated and started my IT journey in Ukraine; now I work and live with my family in Toronto, Canada.
The following is a list of sponsors that helped fund the event.


Next: Purpose of Compiler Macros, Previous: Compilation Semantics, Up: Compilation Semantics
A compiler macro can be defined for a name that also names a function or macro. That is, it is possible for a function name to name both a function and a compiler macro.
A function name names a compiler macro if compiler-macro-function is true of the function name in the lexical environment in which it appears. Creating a lexical binding for the function name not only creates a new local function or macro definition, but also shadows_2 the compiler macro.
The function returned by compiler-macro-function is a function of two arguments, called the expansion function. To expand a compiler macro, the expansion function is invoked by calling the macroexpand hook with the expansion function as its first argument, the entire compiler macro form as its second argument, and the current compilation environment (or with the current lexical environment, if the form is being processed by something other than compile-file) as its third argument. The macroexpand hook, in turn, calls the expansion function with the form as its first argument and the environment as its second argument. The return value from the expansion function, which is passed through by the macroexpand hook, might either be the same form, or else a form that can, at the discretion of the code doing the expansion, be used in place of the original form.
*macroexpand-hook* compiler-macro-function define-compiler-macro
Figure 3–6: Defined names applicable to compiler macros


Installation¶
Installing the C++ library¶
bri17 has the following dependencies, required for the tests only
This is a CMake based project. The installation procedure is standard. First,
clone the repository. Then, cd
into the root directory of the bri17
project. Let bri17_INSTALL_PREFIX
be the path to the directory where bri17
should be installed:
$ git clone https://github.com/sbrisard/bri17
$ cd bri17
$ mkdir build
$ cd build
$ cmake -DCMAKE_INSTALL_PREFIX=bri17_INSTALL_PREFIX ..
$ cmake --build . --config Release
$ cmake --install . --config Release
Note
The --config
option might not be available, depending on the
selected generator.
At this point, bri17 should be installed. You can now run the tests:
$ ctest . -C Release
Compiling your first bri17 program¶
In this section, we create a simple example that instantiates a
bri17::CartesianGrid
and prints it to stdout
. The
relevant files are listed below.
#include <iostream>
#include "bri17/bri17.hpp"
int main() {
size_t N[] = {3, 4, 5};
double L[] = {1., 2., 3.};
bri17::CartesianGrid<3> grid{N, L};
std::cout << grid << std::endl;
return 0;
}
cmake_minimum_required(VERSION 3.13)
project("example_bri17")
find_package(bri17 CONFIG REQUIRED)
add_executable(${PROJECT_NAME} ${PROJECT_NAME}.cpp)
target_link_libraries(${PROJECT_NAME} bri17::bri17)
cd
into the example
subdirectory. The provided example program should be
compiled and linked against bri17:
$ mkdir build
$ cd build
$ cmake -Dbri17_DIR=bri17_INSTALL_PREFIX/lib/cmake/bri17 ..
$ cmake --build . --config Release
An executable called example_bri17
should be present in the
build/Release
subdirectory. Running the generated program produces the
following output:
$ ./bri17_example.exe
CartesianGrid<3>={L=[1,2,3,],N=[3,4,5,]}
Building the documentation¶
The documentation of bri17 requires Sphinx. The C++ API docs are built with Doxygen and the Breathe extension to Sphinx.
To build the HTML version of the docs in the public
subdirectory:
$ cd docs
$ sphinx-build -b html . ../public
To build the LaTeX version of the docs:
$ cd docs
$ make latex
Installing the Python bindings¶
To install the bri17 module, cd
into the python
subdirectory and edit
the setup.cfg
file. Set the include_dir
and library_dir
to the
appropriate paths. These should be:
[bri17]
include_dir = ${CMAKE_INSTALL_PREFIX}/include
Then, issue the following command:
$ python setup.py install --user
or (if you intend to edit the project):
$ python setup.py develop --user
To run the tests with Pytest:
$ python -m pytest tests


Meadowside
at Norbeck Manor
News and Updates
Forms & Documents
Bulletin Board
Resources
Connect with Us
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Fill out my Wufoo form!
Fill out my Wufoo form!


Page Magic
Page Magic is a project that helps anyone create book art! Upload an image and input the number of pages, then press expand. Page Magic will then expand the image to a format useful for book art.
Page Magic is a project that helps anyone create book art! Upload an image and input the number of pages, then press expand. Page Magic will then expand the image to a format useful for book art.


Developed as an approach to learn more about new approaches to adaptive talent development for the future of work, this paid fellowship aims to increase the participation of marginalized populations in the innovation economy while providing increased wages and employable skills.
VR Fellows
Beverly Aarons is a writer and game developer. She works across disciplines as a copywriter, journalist, novelist, playwright, screenwriter, and short story writer. She’s won several awards and grants for her work including the Guy A. Hanks, Marvin H. Miller Screenwriting Award, Community 4Culture Fellowship, and the Seattle Office of Arts & Culture smART Ventures grant.
David is an architect and urban designer whose work in the private sector provided clear insight of the social disparities across the City. He has since transitioned to the non-profit world and acts as the Food Innovation District Strategist for the Rainier Beach Action Coalition, a neighborhood-based organization, which he co-founded in 2012.
Since 2015, he has worked with the City of Seattle’s Office of Economic Development as their Startup Advocate. In 2016, his participation in Harvard Business School’s Young American Leaders Program, as well as the White House Summit on Building the Tech Workforce of Tomorrow, inspired his participation in other projects on cross-sector collaboration and the future of work.
Eduardo Rojas is a User Experience (UX) designer and Virtual Reality (VR) developer. He is passionate about creating value-centered solutions to promote health, wellbeing, and productivity. Eduardo is currently an administrator for Rojas Plastering LLC, and a fellow at the Future Founders VR Fellowship. After the fellowship, Eduardo seeks to work as a UX and VR Designer and explore the ethics of immersive technologies.
Hafsa is a freshmen at Seattle Central College who is working to get her AAs in computer science. She enjoys the creative freedom of the computer science field and began exploring this journey in her Junior year of high school. Currently she is a Future Founder VR fellow learning to develop software for Virtual Reality. Hafsa hopes to use technology to help her community and people.
Jakari Brown is a self-taught web developer and current Future Founder VR fellow. He began teaching himself web development in the beginning of 2018 and in less than a year he has developed 9 websites. Jakari is passionate about technology because it allows him to be creative and produce concrete results. He is hoping to find a software development job with opportunities for growth.
Kevin Kaymak born in ’94 and is working together with several gaming companies all around the globe. He is working in different programming languages such as visual basic and c#. He has developed several games over the years such as 2D/3D MMORPG’s and several Simulation Games. He is currently teaching network development on his youtube channel.
Julie Le is a curious individual who is in the midst of figuring out her passions and career interests. She received her Associates in Arts and Sciences from Tacoma Community College and has recently received her certification in Database Analytics from Bellevue College. She is currently a part of the Future Founder VR Fellowship working on developing an educational game in virtual reality.


AOA's Jimin brings out her sword in 'Come See Me' individual teaser video
by danisurstAOA has released their second teaser video for their latest comeback!
On November 18 KST, AOA's agency FNC Entertainment dropped a second teaser video for their "Come See Me" comeback featuring rapper Jimin. While Seolhyun had a gun in her teaser video, Jimin is seen wielding a sword in a futuristic girl crush look, complete with her hair pulled into two galaxy buns.
Meanwhile, AOA's sixth mini album 'New Moon,' featuring the title track "Come See Me," is set for release on November 26 at 6 PM KST.
Check out Jimin's "Come See Me" teaser video above!


--- layout: post status: publish published: true title: ".NET Compact Framework Serialization Bugs" author: display_name: Geoff Lane login: admin email<EMAIL_ADDRESS>url: http://www.zorched.net author_login: admin author_email<EMAIL_ADDRESS>author_url: http://www.zorched.net date: '2007-02-27 10:04:59 -0500' date_gmt: '2007-02-27 16:04:59 -0500' categories: - Code - ".NET" tags: - compact framework - xml - windows-mobile - serialization ---
XML Serialization in the .NET Compact Framework seems to be buggy enough that it is generally not useful if you need to serialize a class that conforms to a schema of some sort. If all you need to do is serialize and deserialize representations of a class you are probably fine. But if you need to use the serialized data to interoperate with a service (for example) it likely will not work.
The problem is that the XmlEnum under the .NET Compact Framework truncates the value at the first space. So, in the example below your Enums would serialize to "Some" and "Another" instead of the correct "Some Value" and "Another Value".
{% highlight csharp %} public enum Foo { [XmlEnum("Some Value") Some, [XmlEnum("Another Value")] Other } {% endhighlight %}int
and double
are value
types but so is DateTime
. string
is a reference type though.
The serialization code is smart enough to not serialize null values. But what about those value types? They can not be null, so how do you determine if they should be serialized or not? There are two ways you can do it.
Example: {% highlight csharp %} [XmlAttribute("age"), DefaultValue(-1)] public int Age; {% endhighlight %}
I have not found any problem with this on the .NET Compact Framework, but I haven't used it extensively. DefaultValue really does not make sense for every case. What about a value where negative, positive and zero all make sense? What about a boolean value where true and false are both meaningful and different from null? Valid values are really a business concept and many business concepts will not constrain them in such a way that you can specify a DefaultValue to control serialization, so this is not always useful.
See: more information on DefaultValue.
Example: {% highlight csharp %} [XmlIgnore] public bool FooSpecified = false;
[XmlElement("foo)] public int Foo { get { return this.foo; } set { this.foo = value; this.FooSpecified = true; } } {% endhighlight %}
This is fine in the full framework. The problem is with the .NET Compact Framework. When the serializer comes across a propertynameSpecified value that is false, the serialization of that class stops. This means if you have 5 properties and the second property has a control value set to false, only the first value will be serialized!
Update: follow-up post on Writing a Custom XML Serializer has been posted.


Legend
Available bikes
Empty stations
New bikes available
City:
Show:
Available Bikes
Available Docks


1. RouteNotFoundException
Dinoloop throws RouteNotFoundException when it receives a request that does not match an endpoint.
List of properties
- httpVerb: string - placeholder for HttpVerb request
- requestUrl: string - placeholder for endpoint
- type: string - placeholder for exception type
- message: string - placeholder for custom message
Here is how you can handle by writing your version of the ServerError middleware
- It is a run time exception which can be caught by the ServerError middlewares
- It is recommended to register RouteNotFoundErrorMiddleware as the first ServerError middleware.
- Dinoloop has a builtin middleware to handle this exception. However, you can override the behavior as explained above.
2. InvalidRouteException
Dinoloop throws InvalidRouteException when null/undefined values are provided as route paths to @Controller(null) or @Controller(undefined) or other http verbs like @HttpGet.
List of properties
- httpVerb: string - placeholder for HttpVerb request
- action: string - placeholder for action method
- controller: string - placeholder for controller
- route: string - placeholder for complete endpoint
- type: string - placeholder for exception type
- message: string - placeholder for custom message
This exception occurs while Dinoloop starts binding routes to Expressjs. It exits the application since routes are not properly configured.
3. CustomException
Programmers from C#/Java have robust support for exception handling. The dinoloop team suggests to create a CustomException class and derive all your exceptions from it.
- This allows you to hold an inner exception whereas the native JavaScript Error does not.


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How To Encrypt Files
If you are just trying to password protect files:
- Click the "Browse..." button and select the file you want to encrypt. You can select multiple files by holding SHIFT or CTRL.
- Enter a password (longer passwords with letters, numbers and symbols are much more secure, but aren't forced) into the box.
- Press the "Enter" key or click "Encrypt".
- Wait for it to encrypt.
- A file will be saved. This file is the encrypted version of your file. Note: If you are using the Flash version of this website, you will need to click the "Save" button to save the encrypted version. This is due to certain restraints implemented in newer versions of Flash.
- Make sure it decrypts with the password you put in (just in case you entered your password incorrectly).
- Delete the original, unless...
If you are trying to hide a file from a tech-savvy users, the main concern is them recovering it from the hard drive:
- Securely delete the file. In Windows, you can use a program called "Eraser". On OS X, you can move the file into the Trash Can and choose "Finder -> Secure Empty Trash". On Linux, you can use the "shred --remove" command.
If you are trying to encrypt a lot of files, or files that are very large, then I suggest using TrueCrypt. An article on setting that up can be found at How-To Geek.


influenza virus titers cH/ animals day LAIV vaccine vaccination group followed measured stalk IIV (Fig. groups adjuvanted antibody nasal post titer LAIV–IIV ferrets serum compared response shown titers. viral IIV–IIV antibodies responses vaccines domain {border-style challenge °C immune protection px;} #ffffff;} Viral pHN regimen dose lower received anti-stalk head immunization naive pandemic prime used IgG animal induced point boost multiple non-adjuvanted viruses IgA Virol../JVI.- adjuvant attenuated challenge. hemagglutinin performed cells induce infection low vaccinated wash Animals Medicine PFU School Virus based broadly high infection. mean samples study time washes ANOVA Dunnett’s ELISA Fig. Icahn Mount Nasal days group. indicates naïve phenotype primed proteins standard strategy titer. Furthermore, GMTs PBS according assessed b). comparison conserved containing detection. doses expressing higher human incubated indicate inhibition limit live plaque protective px; regimens similar tested {font-family (n = /group). . mL adjuvant). assay blue chimeric defined ferret ferrets. font-size immunity line observed oropharyngeal pre-challenge replication respiratory shows turbinate white µl (day (empty (from (zeros -fold A/Puerto B-cH/ Groups Infect. Influenza TIV Titers White a). added adjuvant; antigen assays asterisks bars cH/N cHA cHA-based circles circles, comparisons d). data decimal different dilution double; gray heterologous induces level p-value): present priming recombinant red refer second sera significance solution split strain temperature test. tissue trend triangles, two-way universal upper Ferrets Finally, MDCK Sinai, annual approach border-color border-width c). collected control dashed detectable following hemagglutination inactivated included infected inoculation licensed lung neuraminidase neutralization one-way plates reactive room sample showed solid; strains strong surface swab test {font-style {font-weight (n = ) ***P ≤ .; **P ≤ .; *P ≤ .; Antibody Commons Creative DNA HA, HN, Health Hemagglutination However, IIV-vaccinated Rev. Rico// [], assay. backbone blocking bold booster cH/CalNCal circulating clinical component courier; derived described did domain. domains em; experiment final headless humans intranasal left material measure medium olfactory pt;} randomized reduction seasonal slightly specifically squares. stalk-based stalk-reactive times tract. using vaccines. weeks well. ×


Trader Erinu:
Welcome!
Adventurers should know how to equip themselves at any given moment. If it were like it was before, I could give away some freebies to help you out, but there are so many adventurers nowadays and I have to import the equipment from overseas, so...
Well, the most important thing is to buy gear that suits your skills best.
Take a look around and let me know if something catches your eye!
Buy/Sell/Refund.
Ask about the local lord and tax rate.
Quest


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface WSDLLocator
This interface can act as an additional layer of indirection between a WSDLReader and the actual location of WSDL documents. One use could be to retrieve WSDL documents from JAR files, while still retaining the ability to resolve imported documents using relative URIs.
WSDLReader.readWSDL(WSDLLocator)
| Method Summary | |
|---|---|
void |
close()
Releases all associated system resources such as the InputStreams associated with the Base and Import InputSources. |
org.xml.sax.InputSource |
getBaseInputSource()
Returns an InputSource "pointed at" the base document. |
java.lang.String |
getBaseURI()
Returns a URI representing the location of the base document. |
org.xml.sax.InputSource |
getImportInputSource(java.lang.String parentLocation,
java.lang.String importLocation)
Returns an InputSource "pointed at" an imported wsdl document. |
java.lang.String |
getLatestImportURI()
Returns a URI representing the location of the last import document to be resolved. |
| Method Detail |
|---|
org.xml.sax.InputSource getBaseInputSource()
org.xml.sax.InputSource getImportInputSource(java.lang.String parentLocation, java.lang.String importLocation)
parentLocation
- a URI specifying the location of the
document doing the importing. This can be null if the import location
is not relative to the parent location.importLocation
- a URI specifying the location of the
document to import. This might be relative to the parent document's
location.
java.lang.String getBaseURI()
java.lang.String getLatestImportURI()
void close()
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


This is the initial section of the products page description section.
This is the second section of the products page descrtiption.
We work well with small businesses, nonprofits, service professionals, and creatives.
These websites use Wix, Weebly, or SquareSpace, and will typically cost between $x,xxxx to $x,xxxx.
DIY Websites are ideal for clients who prefer to do all updates and maintenance themselves.
These websites use Wordpress, or Drupal, and will typically cost between $x,xxxx to $x,xxxx
Ideal for clients who prefer to do the site themselves.
These websites typically use Wordpress, or Drupal, and will typically cost between $x,xxxx to $x,xxxx
We work well with small businesses, nonprofits, service professionals, and creatives.
These websites use Wordpress, or Drupal, and will typically cost between $x,xxxx to $x,xxxx
These websites use Wordpress, or Drupal, and will typically cost between $x,xxxx to $x,xxxx
These websites use Wordpress, or Drupal, and will typically cost between $x,xxxx to $x,xxxx


Get R!
Go to — Install R — for instructions on installing the latest and greatest versions of R and RStudio.
Intro to R
This series of tutorials teaches the basics of importing data, using new packages, cleaning and summarizing data with “tidy” tools, and using ggplot2
to make charts and data visualizations.
- Create a new RStudio project and R script.
- Install new R packages.
- Create variables, lists, data frames.
- Read data into R.
- Arrange and filter your data.
- Solve a cat mystery.
- Become a pet detective.
Packages: readr
, dplyr
- Data transformations
- Add new columns.
- Summarize your data.
- Split groups and categories in your data.
- Save data.
- Make plots.
- Scatter plots and transparency.
- Add a smoothed trend line to the plot.
- Add titles, colors, and axis labels.
- Bar charts.
- Histograms.
Packages: ggplot2
- Read data from Excel.
- Make more plots.
- Add titles, colors, and axis labels.
- Box plots.
- Bar plots.
- Label points.
- Log transform your chart axis.
- Save charts to different formats.
- Connect to TEMPO.
Packages: readxl
, tidyr
, RODBC
, lubridate
Workshops
Each workshop dives into more detail on a common data anlaysis or visualization task.
Writing functions
Maps and shapefiles
- Collapse data spread across many columns.
- Fill in empty rows from Excel.
- Reorder ggplots from highest to lowest.
- Read a whole folder of files at once.
- Clean spaces and special characters from column names.
- Parse dates into season, month, quarter, day of the year.
- Read a set range of cells from Excel.
Packages: tidyr
, readxl
, lubridate
, forcats
, ggplot2


Frame Generator
Description
General Usage Instructions
First you must have a skeleton line sketch of the overall shape of your frame along with any intermediate or support frames. Once that is in place you can use the frame generator to build out the frame design.
First select a family (Square or Rectangular Tube), next select the size of frame you are wanting to put in place, next you can select the geometry lines to apply the frame member to.
Commands
Installation/Uninstallation
Install:
The installer that ran when you downloaded this app/plug-in from Autodesk App Store has already installed the app/plug-in.
OR, simply double-click the MSI to install the app.
Uninstall:
You can unload the add-in without uninstalling it by clicking the "Stop" button when the add-in is selected in the list box on the "Add-Ins" tab of the "Scripts and Add-Ins" dialog.
Unchecking "Run on Startup" causes the add-in not to be loaded in future sessions of Autodesk® Fusion 360™.
To uninstall this plug-in, exit the Autodesk product if you are currently running it, simply rerun the installer, and select the "Uninstall" button.
OR, you can uninstall it from 'Control Panel\Programs\Programs and Features' (Windows 7/8/8.1/10), just as you would uninstall any other application from your system.
Additional Information
the spreadsheet for the list of frame members can be modified to add any missing frame sizes. if you need to add something go to the addin folder installed and then find the .xlsx file within it to modify
Known Issues
error when going back into command from cancelling when geometry was selected.
Contact
Author/Company Information
Support Information
Version History
| Version Number | Version Description |
|---|---|
|
1.0.0 |
initial release |


314 Presley Way Crownhill, Milton Keynes Buckinghamshire MK8 OES United Kingdom. Dear Sir, I got your contact over the internet as a trustworthy and reliable person.please pay attention and understand my reason of contacting you today through this email. My name is DR ANDREW SILVER..I am the personal solicitor to a foreigner, Late Mr. Morris Thompson,an American who unfortunately lost his life in the plane crash of Alaska Airlines Flight 261, which crashed on January 31 2000. You may read more about the crash on visiting this C.N.N News internet website. http://archives.cnn.com/2000/US/02/01/ alaska. airlines.list/ I desprately need your assistance to secure and move huge sums of money left behind by my late client to the tune of $85,000,000, (Eight five million united states dollars). I will pay you 20% of the total sum for your cooperation in this matter.I will give you more details,on your positive response, make sure to include in your reply and acknowledge ment of this mail your tel no so that we can disscuss in details. Yours Faithfully, DR ANDREW SILVER


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Organizations can be associated with Categories, and they can define Programs for their members.
A Program defines the set of categories and goals that are available to members within the mobile app. It may also define a set of goals in which users are automatically enrolled upon account creation.
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|---|---|---|---|
|
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Teenage Corsa driver rams police car in chase through Exeter
The Corsa's crazed getaway on Wednesday, November 13, soon came to an end after police caught up and 'assisted' it into a bush
by Miles O'LearyAn uninsured teenage Vauxhall Corsa driver led cops on a wild goose chase through the streets of Exeter before crashing into a hedge.
Police flashing blue lights raced through the city in the direction of the brazen black vehicle after it mounted a pavement in an attempt to escape.
The Corsa then rammed another nearby police vehicle, cops say, before recklessly pounding through 'several' red lights.
But the Corsa's getaway on Wednesday, November 13, soon came to an end after police caught up and 'assisted' it into a bush.
The law finally caught up with the brazen youngster shortly after 11.35am that morning.
The 17-year-old male Corsa driver appeared before North and East Devon Magistrates Court today - Thursday - to plead guilty to four charges brought forward following the incident.
Police have released to the public via Twitter details and imagery of what happened in an effort to raise awareness that dangerous driving will not be tolerated by authorities.
The teen - who cannot be legally named because he is under 18 and classed as a minor - pleaded guilty to dangerous driving, using a vehicle while uninsured, driving otherwise than in accordance with a licence and failing to stop after accident.
He was remanded on conditional bail on all counts and is to be sentenced by the courts in December, police confirmed.
UK driving points - what you need to know
Guidance issued by the UK Government stipulates courts can fine you and ‘endorse’ your driving record with penalty points if you’re convicted of a motoring offence.
Endorsements must stay on your driving record for 4 or 11 years, depending on the offence.
The endorsement and penalty points are put on your driver record. View your driving licence record to see what penalty points you have and when they’ll be removed.
You can be disqualified from driving if you build up 12 or more penalty points within a period of 3 years. There are different rules for new drivers.
Endorsement codes and penalty points
Each endorsement has a special code and is given ‘penalty points’ on a scale from 1 to 11. You get more points for more serious offences.
The table shows the offence codes that can be put on your driving record. It also shows how many penalty points you can get for them. Some offences may also involve a disqualification.
Offence codes and penalty points must stay on your driving record for 4 or 11 years depending on the offence.
Accident offences
These codes must stay on a driving record for 4 years from the date of the offence.
| Code | Offence | Penalty points |
|---|---|---|
| AC10 | Failing to stop after an accident | 5 to 10 |
| AC20 | Failing to give particulars or report an accident within 24 hours | 5 to 10 |
| AC30 | Undefined accident offences | 4 to 9 |
Disqualified driver
Codes BA10 and BA30 must stay on a driving record for 4 years from the date of the offence.
| Code | Offence | Penalty points |
|---|---|---|
| BA10 | Driving while disqualified by order of court | 6 |
| BA30 | Attempting to drive while disqualified by order of court | 6 |
Codes BA40 and BA60 must stay on a driving record for 4 years from the date of the conviction.
| Code | Offence | Penalty points |
|---|---|---|
| BA40 | Causing death by driving while disqualified | 3 to 11 |
| BA60 | Causing serious injury by driving while disqualified | 3 to 11 |
Careless driving
Codes CD10 to CD30 must stay on a driving record for 4 years from the date of the offence.
| Code | Offence | Penalty points |
|---|---|---|
| CD10 | Driving without due care and attention | 3 to 9 |
| CD20 | Driving without reasonable consideration for other road users | 3 to 9 |
| CD30 | Driving without due care and attention or without reasonable consideration for other road users | 3 to 9 |
Have you got a story to tell? Contact Devon Live via its Facebook page or email on-call reporter Miles O'Leary at miles.oleary@reachplc.com