JOSEPH ZULU-ZATA. MANAGER: AFRICAN DEVELOPMENT BANK.(ADB) DAKAR-SENEGAL.Branch. Email<EMAIL_ADDRESS>I know this email will reach you as a surprise, but need not to worry as i am using the only secured and confidential medium available to seekfor foreign assistance in a business. I am MR JOSEPH ZULU-ZATA. from the AFRICAN DEVELOPMENT BANK.(ADB), DAKAR-SENEGAL.Branch. This business request may seem strange, but I crave your indulgence and pray you view it seriously as I am convinced that you would be capable to provide me with a solution to a money transfer. On June 6, 1999, an America Oil consultant/contractor with Petroleum Corporation, Mr.Robert Rice made a numbered time (fixed) deposit for twelve calendar months, valued at US$10,500,000.00(Ten Million Five Hundred Thousand Dollars )in my branch upon maturity. I sent a routine notification to his forwarding address but got no reply. After a month, we sent a reminder and finally we discovered from his contract employers, the Petroleum Corporation that Mr.Robert Rice and his wife Mrs. Mary Rice died in the plane crash On October 31, 1999, (an Egyptair Boeing 767 Flight 990) with other passengers on board as you can confirm it yourself via the website below: http://www.greatdreams.com/PassEAir990.htm On further investigation, I found out that he died without making a Will and attempts to trace his next of kin were fruitless. I therefore made further investigation and discovered that Mr.Robert Rice did not declare any next of kin or relations in all his official documents, including his bank deposit paperwork in my bank. This sum of US$10,500,000.00 and the interest is being rolled over with the principal sum at the end of each year. No one will ever come forward to claim it according to African law, at the expiration of (five) years, the money will revert to the ownership of the Senegal Government if nobody applies to claim the fund. Consequently, my proposal is that I will like you as a foreigner to stand as the next of kin to Mr. Robert Rice so that the fruit of this old man's labor will not get into the hands of some corrupt Government officials. This is simple, I will like you to provide immediately your full name and address so that the Attorney will prepare the necessary documents and affidavits which will put you in place as the next of kin.We shall employ the service of an attorney for the drafting and notarization of the Will and obtain the necessary documents and letter of probate administration in your favour for the transfer. Any bank account in any part of the world which you will provide will then facilitate the transfer of this money to you as the beneficiary/next of kin.The money will be paid into your account for us to share in ratio of 70% for me and 30% for you.. There is no risk at all; the paperwork for this transaction will be done by the attorney and my position as the Branch Manager guarantees the successful execution of this transaction. If you are interested, please reply immediately via the private email address below, upon your responses, I shall provide you with more details and relevant documents that will help you understand the transaction. Please observe utmost confidentiality and be rest assured that this transaction would be most profitable for both of us because I shall require your assistance to invest my share in your country. Please upon the receipt of this mail message, send to me the following to enable me start the processing of the fund transfer into your bank account: 1.) The beneficiary's name. 2.) Your private / official telephone and fax number. 3) Your address. Awaiting your Urgent Reply via my private<EMAIL_ADDRESS>. Thanks and God bless, MR JOSEPH ZULU-ZATA. MANAGER: AFRICAN DEVELOPMENT BANK.(ADB) DAKAR-SENEGAL.Branch.


CodePipeline S3 File Transfer Action
This project enables a custom CodePipeline action that allows you to specify files from pipeline artifacts, to be transferred to S3 buckets (see example below). Each transfer must contain a destination bucket, an optional key prefix to apply to all transfers and a source (src
) key, which defines in a glob fashion the files to be uploaded.
The role provided to each transfer enables fine-grained access control, as the deployed function does not have sufficient permissions. Sample IAM policies are detailed below.
In-order to ensure your Pipeline has necessary permissions to invoke a Lambda function, follow the setup steps here.
An example action definition inside a CodePipeline CloudFormation resource definition:
- Name: Transfer
Actions:
- Name: S3
RunOrder: 1
InputArtifacts:
- Name: BuildOutput
- Name: DeployOutput
ActionTypeId:
Category: Invoke
Owner: AWS
Version: 1
Provider: Lambda
Configuration:
FunctionName: !ImportValue TransferFunctionName
UserParameters: !Sub |
[
{
"roleArn": {
"Fn::GetParam": ["DeployOutput", "Outputs.json", "AssetS3BucketTransferRole"]
},
"bucket": {
"Fn::GetParam": ["DeployOutput", "Outputs.json", "AssetS3Bucket"]
},
"prefix": "s3/key/prefix/",
"src": [
"BuildOutput::*.js"
]
},
{
"roleArn": "arn:aws:iam::123456789012:role/image-s3-bucket-permissions",
"bucket": "pre-created-s3-bucket",
"prefix": "s3/images/prefix/",
"src": [
"BuildOutput::images/*"
]
}
]
An example IAM policy for granting the Transfer function permissions to your assets bucket:
AssetS3BucketTransferRole:
Type: AWS::IAM::Role
Properties:
Path: !Sub "/${Name}/"
AssumeRolePolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Principal:
AWS: !ImportValue TransferFunctionRoleArn
Condition:
StringEquals:
sts:ExternalId: !ImportValue TransferFunction
Action: sts:AssumeRole
Policies:
- PolicyName: UploadAssetsPermission
PolicyDocument:
Version: 2012-10-17
Statement:
- Effect: Allow
Action:
- s3:PutObject
Resource:
- !Sub "${AssetS3Bucket}/*"
For a full definition of what you can define inside the UserParameters
key, see the JSON Schema file.


This example is similar to Example 1. This time, the module lists its needs explicitly. It works in the same way, because only scope-bootstrap is used, and scope-bootstrap ignores needs.
Go on with Example 3.


In §1.2/12 and §2.5.4/29, we wrote a program to write someone's name centered in a box
of asterisks. However, we never actually created a string
to hold our program's output.
Instead, we wrote the various parts of our output, one at a time, and let the output file
combine those fragments into a picture.
We will now revisit this problem, with the aim of building a single data structure that represents the entire framed string. This program is a simplified version of one of our favorite examples, called character pictures. A character picture is a rectangular array of characters that can be displayed. It is a simplification of what happens in a real application—in this case, applications based on bitmap graphics. The simplifications are to use characters instead of bits, and to write onto ordinary files instead of displaying on graphical hardware. The problem builds on an exercise originally presented in the first edition of Stroustrup's The C++ Programming Language (Addison-Wesley, 1986), and that we explored in some depth in Ruminations on C++ (Addison-Wesley, 1997).
The particular variation of the character-picture problem that we'd like to explore in this
section writes all the words stored in a vector<string>
, one to a line, and surrounds
these string
s with a border. We'll line the string
s up along the left-hand border, and
leave a single space between the edge of asterisks and the words we are writing.
Assume that p
is a vector<string>
that contains the string
s "this is an"
, "
example"
, "to"
, "illustrate"
, and "framing"
. Then we would like to have a
function named frame
, which behaves in such a way that calling frame(p)
yields a
value of type vector<string>
with elements that, when written, are
************** * this is an * * example * * to * * illustrate * * framing * **************
Note that the border is rectangular, not ragged, even though the string
s themselves are
of different lengths. This fact implies that we'll need a function to find the length of the
longest string
in the vector
. Let's start there:
string::size_type width(const vector<string>& v) { string::size_type maxlen = 0; for (vector<string>::size_type i = 0; i != v.size(); ++i) maxlen = max(maxlen, v[i].size()); return maxlen; }
This function will iterate through the vector
, setting maxlen
to the largest size that
we've seen so far. When we fall out of the loop, maxlen
will hold the length of the longest
string
in v
.
The only tricky aspect of the frame function is its interface. We know that it will operate
on a vector<string>
, but what about the return type? It will be convenient if the
function creates a new picture rather than change the picture it was given:
vector<string> frame(const vector<string>& v) { vector<string> ret; string::size_type maxlen = width(v); string border(maxlen + 4, '*'); // write the top border ret.push_back(border); // write each interior row, bordered by an asterisk and a space for (vector<string>::size_type i = 0; i != v.size(); ++i) { ret.push_back( "* " + v[i] + string(maxlen - v[i].size(), ' ') + ." *") } // write the bottom border ret.push_back(border); return ret; }
We said that the function will not change the picture that it is passed, so we declare the
parameter as a reference to const
. The function will return a vector<string>
, which
we'll build in ret
. We begin by figuring out how long each output string
will be; then
we create a string
with that many asterisks, which we'll use to create the top and bottom
border.
These borders are four characters longer than the longest string
: one each for the
right- and left-hand borders, and another two for the spaces that separate the borders
from the string
s. Taking a syntactic cue from the definition of spaces
in §1.2/12 that
we explained in §1.2/13, we define border
to be a string
that contains maxlen + 4
asterisks. We call push__back
to append a copy of border to ret
, thereby forming the
top border.
Next, we copy the picture that we are framing. We define the index i
, which we will
use to walk through v
until we've copied each element. In the call to push_back
, we use
the +
operator from string
, which, as we learned in §1.2/13, concatenates its arguments.
To form the output line, we concatenate the right- and left-hand borders with the
string
that we want to display, which is stored in v[i]
. The third string
in our concatenation,
string(maxlen - v[i].size(), ' ')
, constructs an unnamed, temporary
string
that holds the right number of blanks. We construct this string
in the same
way that we initialized border. We obtain the number of blanks by subtracting the size
of the current string
from maxlen
.
With this knowledge, we can see that the argument to push_back
is a new string
that consists of an asterisk, followed by a space, followed by the current string
, followed
by enough spaces to make the string
as long as the longest string
, followed by
another space and another asterisk.
All that's left is to append the bottom border and return.
What makes character pictures a fun example is that, once we have them, we can do things with them. We just saw one operation—framing a picture. Another operation is concatenation, which we can do both vertically and horizontally. We'll look at vertical concatenation here, and at horizontal concatenation in the next section.
Pictures are naturally organized by rows, in the sense that we represent a picture by
a vector<string>
, each element of which is a row. Therefore, concatenating two pictures
vertically is simple: We merely concatenate the vector
s that represent them.
Doing so will cause the two pictures to line up along their left margins, which is a reasonable
way to define vertical concatenation.
The only problem is that although there is a string
concatenation operation, there is
no vector
concatenation operation. As a result, we have to do the work ourselves:
vector<string> vcat(const vector<string>& top, const vector<string>& bottom) { // copy the top picture vector<string> ret = top; // copy entire bottom picture for (vector<string>::const_iterator it = bottom.begin(); it != bottom.end(); ++it) ret.push_back(*it); return ret; }
This function uses only facilities that we have already seen: We define ret
as a copy of
top
, append each element of bottom
to ret
, and return ret
as its result.
The loop in this function implements one form of a common idea, namely, that of inserting a copy of elements from one container into another. In this particular case, we are appending the elements, which we can think of as inserting them at the end.
Because this operation is so common, the library offers a way of doing it without writing a loop. Instead of
for (vector<string>::const_iterator it = bottom.begin(); it != bottom.end(); ++it) ret.push_back(*it);
we can write
ret.insert(ret.end(), bottom.begin(), bottom.end());
with the same effect.
By horizontal concatenation, we mean taking two pictures, and making a new picture in which one of the input pictures forms the left part of the new picture, and the other forms the right part. Before we start, we need to think about what we want to do when the pictures to concatenate are different sizes. We'll arbitrarily decide that we'll align them along their top edges. Thus, each row of the output picture will be the result of concatenating the corresponding rows of the two input pictures. We'll have to pad the left-hand picture's rows to make them take up the right amount of space in the output picture.
In addition to padding the left-hand picture, we also have to worry about what to do
when the pictures have a different number of rows. For example, if p
holds our initial picture,
we might want to concatenate the original value of p
horizontally with the result of
framing p
. That is, we'd like hcat(p, frame(p))
to produce
this is an ************** example * this is an * to * to * illustrate * illustrate * framing * framing * **************
Note that the left-hand picture has fewer rows than the right-hand picture. This fact
implies that we will have to pad the output on the left-hand side to account for these missing
rows. If the left-hand picture is longer, we'll just copy the string
s from it into the
new picture; we won't bother to pad the (empty) right side with blanks. With this analysis complete, we can write our function:
vector<string> hcat(const vector<string>& left, const vector<string>& right) { vector<string> ret; // add 1 to leave a space between pictures string::size_type width1 = width(left) + 1; // indices to look at elements from left and right respectively vector<string>::size_type i = 0, j = 0; // continue until we've seen all rows from both pictures while (i != left.size() || j != right.size()) { // construct new string to hold characters from both pictures string s; // copy a row from the left-hand side, if there is one if (i != left.size()) s = left[i++]; // pad to full width s += string(width1 - s.size(), ' '); // copy a row from the right-hand side, if there is one if (j != right.size()) s += right[j++]; // add s to the picture we're creating ret.push_back(s); } return ret; }
We start, as we did for frame
and vcat
, by defining the picture that we'll return. Our
next step is to compute the width to which we must pad the left-hand picture. That width
will be one more than the width of the picture itself, to leave a space between the pictures
when we concatenate them. Next, we iterate through both pictures, copying an element
from the first, padded as necessary, followed by an element from the second.
The only tricky part is taking care of what to do if we run out of elements in one picture
before we run out of elements in the other. Our iteration continues until we have
copied all the elements for each input vector
. Hence, the while
loop continues until
both indices reach the end of their respective pictures.
If we have not yet exhausted left
, we copy its current element into s
. Regardless of
whether we copied anything from left
, we next call the string
compound assignment
operator, +=
, to pad the output to the appropriate width. The compound assignment
operator defined by the string
library operates as you might expect: It adds the right-hand
operand to its left-hand operand and stores the result in the left-hand side. Of
course, "add"
here means string concatenation.
We determine how much to pad by subtracting s.size()
from width1
. We know
that either s.size()
is the size of the string
that we copied from left
, or it is zero
because there was no entry to copy. In the first case, s.size()
will be greater than zero
and less than width1
, because we added one to the length of the longest string
to
account for a space between the two pictures. Thus, in this case, we'll append one or
more blanks to s
. If s.size()
is zero, then we'll pad the entire output line.
Having copied and padded the string
for the left-hand picture, we need only
append the string
from the right-hand picture, assuming that there still is an element
from right
to copy. Regardless of whether we added a value from right
, we push s
onto the output vector
, and continue until we've processed both input vector
s—
remembering to return to our caller the picture that we've created.
It is important to note that the correct behavior of our program depends on the fact
that s
is local to the while
loop. Because s
is declared inside the while
, it is created,
with a null value, and destroyed on each trip through the loop.


Back to BioBike Documentation Contents
Copyright (c) 2003 by Sumudu W Watugala and Jeff Shrager
"CrossMetrics?! What's a cross metric?" you ask.... A CrossMetric is any real-valued measure (that is, any floating point number, like 3.1416) that can be interpreted as something like the distance between two things. The standard (biological) example of a CrossMetric is the e-value that results from Blast (which you can read more about here). In the case of Blast, there is theoretically a metric (the e-value) between any two genes, representing something like the similarity of these two genes.
If there are, say, 100 genes (set A) blasted aginst 100 other genes (set B, which could be the same as set A, in which case it's a self-cross), you get 100x100, or 10,000 e-values. This image is why we call it a "CrossMetric" -- because it results from the "cross comparison" of many things against all of many other things -- one pair at a time for all possible pairs.
Now, in practice, esp. with a metric like Blast, most of the scores are so low (that is, the e-value is high, meaning that the similarity is low) that it's not worth recording them because, for all practical purposes, the pair of genes is not very similar. So perhaps the 100x100 cross above would result in, say, 1000 significant cross measures, at an e-value less than 1e-10, for example.
Once you have computed values for a cross metric, there are number of very useful things that you can do with them. The simplest is just to look up what's near (that is, similar to, in the case of Blast) your favorite gene. In BioBike, the (crossmatched-genes-of ...) function reads out precomputed results of cross metrics that have already been computed.
Let G be the set of all the genes with known sequences in the BioBike database. Consider the cross metric created by blasting G against itself. This cross metric has already been precomputed in the BioBike server and stored in a database table called CROSSBLAST. (All of the cross tables are called CROSSmetricname; We'll see this a little later.)
To get information from a cross table you can use the function CROSSMATCHED-GENES-OF, which has a number of required and keyword arguments:
(crossmatched-genes-of gene (required -- for example: "slr1694") table-name (required -- for example: "crossblast") :threshold (keyword -- only show crosses whose measure is compared successfully against threhold. Can be :all) :comparison (keyword -- the comparison to use, e.g., :le, ">=", the default is less-than (:lt)) :threshold-field (keyword -- the field in TABLE-NAME to extract the value to be compared against THRESHOLD, defaults to "evalue") :organisms (keyword -- A list or organisms or :all; only those genes belonging to these organisms are returned) :genes (keyword -- A list of genes; only those genes belonging to this list are returned) ) Example: >> (crossmatched-genes-of "alr1894" "crossblast") :: ((#$alr1894 3.58979d-136) (#$slr0886 5.97227d-107) (#$tlr1502 1.7982d-103) (#$syn681 6.84902d-95) (#$promit.contig475.gene3512 2.20325d-93) (#$pmm0453 2.89092d-77) (#$slr1994 2.73103d-43) (#$all3836 2.73103d-43) (#$alr4456 3.95276d-34) (#$all0968 8.80584d-34) ...) >> (length *) :: 77
Since the crossblast table was made initially with all matches whose e-value was less than 1, all of these will have e-values less than 1, even though we didn't specify an optional threshold.
If you only need blast results of a gene for E-values below the default, simply specify a threshold as:
>> (crossmatched-genes-of #$alr1894 "crossblast" :threshold 1e-25)) :: ((#$alr1894 3.58979d-136) (#$slr0886 5.97227d-107) (#$tlr1502 1.7982d-103) (#$syn681 6.84902d-95) (#$promit.contig475.gene3512 2.20325d-93) (#$pmm0453 2.89092d-77) (#$slr1994 2.73103d-43) (#$all3836 2.73103d-43) (#$alr4456 3.95276d-34) (#$all0968 8.80584d-34) ...) >> (length *) :: 17
Similarly, you can specify a list of genes or a list of organisms the search is restricted to. The results satisfying all the constraints will be returned.
>> (crossmatched-genes-of #$alr1894 "crossblast" :genes '(#$all0475 #$syn2989 #$all1418))) :: ((#$all1418 5.72103d-25) (#$all0475 2.24973d-21) (#$syn2989 1.66843d-16)) >> (crossmatched-genes-of #$alr1894 "crossblast" :threshold 1e-15 :organisms '(#$promed4)) :: ((#$pmm0453 2.89092d-77) (#$pmm0535 1.90451d-20))
The crossblast table is built in, but you might want to create cross-tables of your own. A common example is correlations among genes in microarray data, but you can do this for any metric that you invent that corresponds to something which is a measure between two items of a set of items you'd like to investigate.
To create a crossmetric table of your own, use the function: create-crossmetric-table:
(create-cross-table function (required -- indicates the function that will be applied between every pair of entries in the data list) data-list (required -- the list of genes (or whatever) to be crossed with one another through the metric function) table-name (required -- gives a name to your table) if-exists (keyword -- what to do if the table already exists. Defaults to :warn-and-supersed. Other options are :error, :supersede, and nil (do not create table and return immediately).) commutative? (keyword -- if A and B are data elements, is FUNCTION called on just (A B) or on both (A B) and (B A) ? The default is T, only call on (A B), not both.) do-identity? (keyword -- if T, call FUNCTION on (A A), for every A)
FUNCTION must take two arguments, and return a list of three elements, which are the three values which go into the table for each table entry. These are the 'from_id' (a string), the 'to_id' (a string), and the value (a number). Example:
>> (setq hihara-table (load-hihara-table)) :: #<COMMON-LISP-USER::TABLE-DATA @ #x72303282> >> (setq hihara-genes (table-data-col hihara-table 0 :list)) :: #(#$ssr3571 #$ssr3570 #$ssr3532 #$ssr3467 #$ssr3465 #$ssr3451 #$ssr3410 #$ssr3409 #$ssr3402 #$ssr3383 ...) >> (create-crossmetric-table (lambda (g1 g2) (list (#^Fname g1) (#^Fname g2) (second (correlate (coerce (table-data-data-row hihara-table g1) 'list) (coerce (table-data-data-row hihara-table g2) 'list))))) (subseq hihara-genes 0 100) "mytempcross") :: ;; 5050 records entered into table mytempcross NIL
That's rather complicated, don't you think! The hard part is the function -- that LAMBDA thing in the middle. The problem is that CREATE-CROSS-TABLE needs to have a function of two arguments -- no more, no less! -- which it will call on every combination of things in the data-list. So, it's going to call:
(function gene1 gene2) (function gene1 gene3) .... for every combination of genes!
But we don't have a function that does exactly what we want, which is to correlate the given genes in the hihara data. So we need to make one up. We could have defined one as usual, and then used it here, but since it's just five lines it's a tad silly to define a whole new function for this, plus it gives us the opportunity to explain temporary functions to you... BioBike has a was to make temporary functions, and LAMBDA is how you do this. So, the (lambda ... ...) thing is making a temporary function (which has no name!), with two arguments (g1 and g2), which does the gene correlation, and returns a list of three things, as it is specified to do.
The other thing of note is that we only did the cross-correlation on the first 100 genes of the hihara data. That's because there are 3079 genes in the hihara table and if we let it do the cross-correlation on all of them we'd be creating about 5,000,000 records in our table. That would take a long time!
It turns out that creating and using temporary functions is a pretty important thing to learn how to do; once you master it, you'll find that you can use it all over the place in BioBike! In fact, any place that you need a temporary function, you can put a lambda expression similar to the one above.
Once you've run the example, it will create a cross table of correlations for the Hihara data for the first 100 pairs of genes in the Synechocystis organism. And you access this table just the way we did with the Anyway, once you get this to work, it will create a cross table of the correlations in the Hihara microarray data for every pair of genes in Synechocystis! (This can take a little time!) Each entry contains the ids of 2 data points and the correlation coefiecient between them. Once it's done, you can refer to the table just the way we did with the CROSSMATCHED-GENES-OF function we were using above.
So let's first find a name of a gene, by looking in the table we created, then use it to extract evalues of some of its crossmatches:
>> (with-organisms-db (db) (esql "select * from mytempcross limit 2")) :: (("ssr3571" "ssr3571" 1) ("ssr3571" "ssr3570" 0.853186)) >> (crossmatched-genes-of "ssr3571" "mytempcross" :threshold 1.0e-2 :threshold-field "distance") :: ((#$ssr1114 -0.173121) (#$ssr1375 -0.414053) (#$ssr1558 -0.32149) (#$ssr1562 -0.102829) (#$ssr1766 -0.017223) (#$ssr2047 -0.14332) (#$ssr2061 -0.861334) (#$ssr2803 -0.0403051) (#$ssr2806 -0.24267) (#$ssr2831 -0.149954) ...)
However, there's actually something much more interesting that we want to do with these cross tables....
Once you have a table of cross metrics, like the blast table, or mytempcross that we made just above containing the cross-correlation of some genes in Synechocystis with one-another as represented in the Hihara data, you can use these to form "gene neighborhoods" -- that is, genes that are near one another by whatever metric you have developed. (We're assuming throughout that the things crossed are genes, although you can actually do it with any object that you have a cross metric for!) A neighborhood of genes is defined as all the genes that are near one another -- that is, all of those that transitivly "touch" one another by the given metric.
Suppose that we have three genes: G1, G2, and G3. The blast e-value from G1 to G2 is 1e-10, and the blast e-value from G2 to G3 is 1e-10, but the blast e-value from G1 to G3 is only 1e-5. If we set a threshold at 1e-7, we'll see G1-G2, and G2-G3, but not G1-G3. But because the neighborhood relationship is transitive, whenever we have a situation like this, these are all put into the same neighborhood.
If you understand this, then you can tell that there's going to be some very strict threshold (like 1e-100), where nothing is near anything else, and also some very weak threshold (like 10.0) where everything is in the same neighborhood! (Actually, we can't ever really reach these limits with the current Blast table because, on the one hand, it stops at 1.0, and on the otherhand, there are some entries that have e-values of 0.0! But conceptually we could reach these limits.)
Eg: >> (blastgene "alr1894" "1.0") :: <EQUAL hash-table with 1446 entries @ #x71b0b692>(Note that the threshold ("1.0") is entered as a string.)
This is simply an initialization step. Next use (give-graph a-threshold) to see relations at different E-values. ie, (give-graph 0) would give the clustering of genes that are most similar.
As seen in the examples below the output is a list of lists, where a gene in a sub-list is related to every other gene in that sub-list by an E-value of at least the specified threshold.
You can click on the genes to see the gene frame of each gene, or map the result to see similarities in gene function.
 In the initialization step you must specify the name of the table containing the data of interest, a threshold (bearing in mind that the correlation coefficient runs from -1 to 1, it would be sensible to pick |threshold| > 0.3 ). Additionally, you can specify the comparision (>, >=, <= etc. ).
Eg: >> (blastgene "sll0924" :threshold 0.4 :table-name 'hiharadat) :: #<EQUAL hash-table with 20322 entries @ #x71af028a>
Next you can compare the correlation results at different thresholds. Remember to specify the comparision function.


Module: ActiveRecord::AttributeMethods::Dirty
| Relationships & Source Files | |
| Namespace Children | |
|
Modules:
| |
| Extension / Inclusion / Inheritance Descendants | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
::ActiveSupport::Concern
|
|
|
Instance Chain:
|
|
| Defined in: | activerecord/lib/active_record/attribute_methods/dirty.rb |
Constant Summary
::ActiveModel::AttributeMethods
- Included
CALL_COMPILABLE_REGEXP, FORWARD_PARAMETERS, NAME_COMPILABLE_REGEXP
Class Method Summary
::ActiveSupport::Concern
- Extended
| class_methods | Define class methods from given block. |
| included | Evaluate given block in context of base class, so that you can write class macros here. |
| prepended | Evaluate given block in context of base class, so that you can write class macros here. |
| append_features, prepend_features |
Instance Attribute Summary
-
#has_changes_to_save? ⇒ Boolean
readonly
Will the next call to
save
have any changes to persist? -
#saved_changes? ⇒ Boolean
readonly
Did the last call to
save
have any changes to change?
::ActiveModel::Dirty
- Included
| #attribute_aliases, #attribute_aliases?, #attribute_method_matchers, #attribute_method_matchers?, | |
| #changed? | Returns |
Instance Method Summary
-
#attribute_before_last_save(attr_name)
Returns the original value of an attribute before the last save.
-
#attribute_change_to_be_saved(attr_name)
Returns the change to an attribute that will be persisted during the next save.
-
#attribute_in_database(attr_name)
Returns the value of an attribute in the database, as opposed to the in-memory value that will be persisted the next time the record is saved.
-
#attributes_in_database
Returns a hash of the attributes that will change when the record is next saved.
-
#changed_attribute_names_to_save
Returns an array of the names of any attributes that will change when the record is next saved.
-
#changes_to_save
Returns a hash containing all the changes that will be persisted during the next save.
-
#reload
reload
the record and clears changed attributes. -
#saved_change_to_attribute(attr_name)
Returns the change to an attribute during the last save.
-
#saved_change_to_attribute?(attr_name, **options) ⇒ Boolean
Did this attribute change when we last saved?
-
#saved_changes
readonly
Returns a hash containing all the changes that were just saved.
-
#will_save_change_to_attribute?(attr_name, **options) ⇒ Boolean
Will this attribute change the next time we save?
- #_create_record(attribute_names = attribute_names_for_partial_inserts) private
- #_touch_row(attribute_names, time) private
- #_update_record(attribute_names = attribute_names_for_partial_updates) private
- #attribute_names_for_partial_inserts private
- #attribute_names_for_partial_updates private
::ActiveModel::Dirty
- Included
| #changed | Returns an array with the name of the attributes with unsaved changes. |
| #changed_attributes | Returns a hash of the attributes with unsaved changes indicating their original values like |
| #changes | Returns a hash of changed attributes indicating their original and new values like |
| #changes_applied | Clears dirty data and moves |
| #clear_attribute_changes, | |
| #clear_changes_information | Clears all dirty data: current changes and previous changes. |
| #previous_changes | Returns a hash of attributes that were changed before the model was saved. |
| #restore_attributes | Restore all previous data of the provided attributes. |
| #attribute_change | Dispatch target for |
| #attribute_previous_change | Dispatch target for |
| #attribute_will_change! | Dispatch target for |
| #clear_attribute_change, #forget_attribute_assignments, #mutations_before_last_save, #mutations_from_database, | |
| #restore_attribute! | Dispatch target for |
| #as_json, | |
| #attribute_changed? | Dispatch target for |
| #attribute_changed_in_place?, | |
| #attribute_previously_changed? | Dispatch target for |
| #attribute_previously_was | Dispatch target for |
| #attribute_was | Dispatch target for |
| #initialize_dup |
::ActiveModel::AttributeMethods
- Included
| #attribute_missing |
|
| #method_missing | Allows access to the object attributes, which are held in the hash returned by #attributes, as though they were first-class methods. |
| #respond_to?, | |
| #respond_to_without_attributes? | A |
| #_read_attribute, #attribute_method?, | |
| #matched_attribute_method | Returns a struct representing the matching attribute method. |
| #missing_attribute |
Dynamic Method Handling
This class handles dynamic methods through the method_missing method in the class ActiveModel::AttributeMethods
DSL Calls
included
[ GitHub ]12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 12
included do if self < ::ActiveRecord::Timestamp raise "You cannot include Dirty after Timestamp" end class_attribute :partial_updates, instance_writer: false, default: true class_attribute :partial_inserts, instance_writer: false, default: true # Attribute methods for "changed in last call to save?" attribute_method_affix(prefix: "saved_change_to_", suffix: "?", parameters: "**options") attribute_method_prefix("saved_change_to_", parameters: false) attribute_method_suffix("_before_last_save", parameters: false) # Attribute methods for "will change if I call save?" attribute_method_affix(prefix: "will_save_change_to_", suffix: "?", parameters: "**options") attribute_method_suffix("_change_to_be_saved", "_in_database", parameters: false) end
Instance Attribute Details
#has_changes_to_save? ⇒ Boolean
(readonly)
Will the next call to save
have any changes to persist?
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 159
def has_changes_to_save? mutations_from_database.any_changes? end
#saved_changes? ⇒ Boolean
(readonly)
Did the last call to save
have any changes to change?
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 105
def saved_changes? mutations_before_last_save.any_changes? end
Instance Method Details
#_create_record(attribute_names = attribute_names_for_partial_inserts) (private)
[ GitHub ]# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 221
def _create_record(attribute_names = attribute_names_for_partial_inserts) id = super changes_applied id end
#_touch_row(attribute_names, time) (private)
[ GitHub ]# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 186
def _touch_row(attribute_names, time) @_touch_attr_names = Set.new(attribute_names) affected_rows = super if @_skip_dirty_tracking ||= false clear_attribute_changes(@_touch_attr_names) return affected_rows end changes = {} @attributes.keys.each do |attr_name| next if @_touch_attr_names.include?(attr_name) if attribute_changed?(attr_name) changes[attr_name] = _read_attribute(attr_name) _write_attribute(attr_name, attribute_was(attr_name)) clear_attribute_change(attr_name) end end changes_applied changes.each { |attr_name, value| _write_attribute(attr_name, value) } affected_rows ensure @_touch_attr_names, @_skip_dirty_tracking = nil, nil end
#_update_record(attribute_names = attribute_names_for_partial_updates) (private)
[ GitHub ]# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 215
def _update_record(attribute_names = attribute_names_for_partial_updates) affected_rows = super changes_applied affected_rows end
#attribute_before_last_save(attr_name)
Returns the original value of an attribute before the last save.
This method is useful in after callbacks to get the original value of an attribute before the save that triggered the callbacks to run. It can be invoked as name_before_last_save
instead of attribute_before_last_save("name")
.
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 100
def attribute_before_last_save(attr_name) mutations_before_last_save.original_value(attr_name.to_s) end
#attribute_change_to_be_saved(attr_name)
Returns the change to an attribute that will be persisted during the next save.
This method is useful in validations and before callbacks, to see the change to an attribute that will occur when the record is saved. It can be invoked as name_change_to_be_saved
instead of attribute_change_to_be_saved("name")
.
If the attribute will change, the result will be an array containing the original value and the new value about to be saved.
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 142
def attribute_change_to_be_saved(attr_name) mutations_from_database.change_to_attribute(attr_name.to_s) end
#attribute_in_database(attr_name)
Returns the value of an attribute in the database, as opposed to the in-memory value that will be persisted the next time the record is saved.
This method is useful in validations and before callbacks, to see the original value of an attribute prior to any changes about to be saved. It can be invoked as name_in_database
instead of attribute_in_database("name")
.
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 154
def attribute_in_database(attr_name) mutations_from_database.original_value(attr_name.to_s) end
#attribute_names_for_partial_inserts (private)
[ GitHub ]# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 231
def attribute_names_for_partial_inserts if partial_inserts? changed_attribute_names_to_save else attribute_names.reject do |attr_name| if column_for_attribute(attr_name).default_function !attribute_changed?(attr_name) end end end end
#attribute_names_for_partial_updates (private)
[ GitHub ]# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 227
def attribute_names_for_partial_updates partial_updates? ? changed_attribute_names_to_save : attribute_names end
#attributes_in_database
Returns a hash of the attributes that will change when the record is next saved.
The hash keys are the attribute names, and the hash values are the original attribute values in the database (as opposed to the in-memory values about to be saved).
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 181
def attributes_in_database mutations_from_database.changed_values end
#changed_attribute_names_to_save
Returns an array of the names of any attributes that will change when the record is next saved.
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 171
def changed_attribute_names_to_save mutations_from_database.changed_attribute_names end
#changes_to_save
Returns a hash containing all the changes that will be persisted during the next save.
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 165
def changes_to_save mutations_from_database.changes end
#reload
reload
the record and clears changed attributes.
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 57
def reload(*) super.tap do @mutations_before_last_save = nil @mutations_from_database = nil end end
#saved_change_to_attribute(attr_name)
Returns the change to an attribute during the last save. If the attribute was changed, the result will be an array containing the original value and the saved value.
This method is useful in after callbacks, to see the change in an attribute during the save that triggered the callbacks to run. It can be invoked as saved_change_to_name
instead of saved_change_to_attribute("name")
.
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 90
def saved_change_to_attribute(attr_name) mutations_before_last_save.change_to_attribute(attr_name.to_s) end
#saved_change_to_attribute?(attr_name, **options) ⇒ Boolean
Did this attribute change when we last saved?
This method is useful in after callbacks to determine if an attribute was changed during the save that triggered the callbacks to run. It can be invoked as saved_change_to_name?
instead of saved_change_to_attribute?("name")
.
Options
from
When passed, this method will return false unless the original value is equal to the given option
to
When passed, this method will return false unless the value was changed to the given value
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 78
def saved_change_to_attribute?(attr_name, ** ) mutations_before_last_save.changed?(attr_name.to_s, ** ) end
#saved_changes (readonly)
Returns a hash containing all the changes that were just saved.
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 110
def saved_changes mutations_before_last_save.changes end
#will_save_change_to_attribute?(attr_name, **options) ⇒ Boolean
Will this attribute change the next time we save?
This method is useful in validations and before callbacks to determine if the next call to save
will change a particular attribute. It can be invoked as will_save_change_to_name?
instead of will_save_change_to_attribute?("name")
.
Options
from
When passed, this method will return false unless the original value is equal to the given option
to
When passed, this method will return false unless the value will be changed to the given value
# File 'activerecord/lib/active_record/attribute_methods/dirty.rb', line 128
def will_save_change_to_attribute?(attr_name, ** ) mutations_from_database.changed?(attr_name.to_s, ** ) end


sklearn.impute
.IterativeImputer¶
-
class
sklearn.impute.
IterativeImputer
(estimator=None, missing_values=nan, sample_posterior=False, max_iter=10, tol=0.001, n_nearest_features=None, initial_strategy=’mean’, imputation_order=’ascending’, min_value=None, max_value=None, verbose=0, random_state=None, add_indicator=False)[source]¶ Multivariate imputer that estimates each feature from all the others.
A strategy for imputing missing values by modeling each feature with missing values as a function of other features in a round-robin fashion.
Read more in the User Guide.
Note
This estimator is still experimental for now: the predictions and the API might change without any deprecation cycle. To use it, you need to explicitly import
enable_iterative_imputer
:>>> # explicitly require this experimental feature >>> from sklearn.experimental import enable_iterative_imputer # noqa >>> # now you can import normally from sklearn.impute >>> from sklearn.impute import IterativeImputer
Parameters: - estimator : estimator object, default=BayesianRidge()
The estimator to use at each step of the round-robin imputation. If
sample_posterior
is True, the estimator must supportreturn_std
in itspredict
method.- missing_values : int, np.nan, optional (default=np.nan)
The placeholder for the missing values. All occurrences of
missing_values
will be imputed.- sample_posterior : boolean, default=False
Whether to sample from the (Gaussian) predictive posterior of the fitted estimator for each imputation. Estimator must support
return_std
in itspredict
method if set toTrue
. Set toTrue
if usingIterativeImputer
for multiple imputations.- max_iter : int, optional (default=10)
Maximum number of imputation rounds to perform before returning the imputations computed during the final round. A round is a single imputation of each feature with missing values. The stopping criterion is met once
abs(max(X_t - X_{t-1}))/abs(max(X[known_vals]))
< tol, whereX_t
isX
at iterationt. Note that early stopping is only applied if ``sample_posterior=False`
.- tol : float, optional (default=1e-3)
Tolerance of the stopping condition.
- n_nearest_features : int, optional (default=None)
Number of other features to use to estimate the missing values of each feature column. Nearness between features is measured using the absolute correlation coefficient between each feature pair (after initial imputation). To ensure coverage of features throughout the imputation process, the neighbor features are not necessarily nearest, but are drawn with probability proportional to correlation for each imputed target feature. Can provide significant speed-up when the number of features is huge. If
None
, all features will be used.- initial_strategy : str, optional (default=”mean”)
Which strategy to use to initialize the missing values. Same as the
strategy
parameter insklearn.impute.SimpleImputer
Valid values: {“mean”, “median”, “most_frequent”, or “constant”}.- imputation_order : str, optional (default=”ascending”)
The order in which the features will be imputed. Possible values:
- “ascending”
From features with fewest missing values to most.
- “descending”
From features with most missing values to fewest.
- “roman”
Left to right.
- “arabic”
Right to left.
- “random”
A random order for each round.
- min_value : float, optional (default=None)
Minimum possible imputed value. Default of
None
will set minimum to negative infinity.- max_value : float, optional (default=None)
Maximum possible imputed value. Default of
None
will set maximum to positive infinity.- verbose : int, optional (default=0)
Verbosity flag, controls the debug messages that are issued as functions are evaluated. The higher, the more verbose. Can be 0, 1, or 2.
- random_state : int, RandomState instance or None, optional (default=None)
The seed of the pseudo random number generator to use. Randomizes selection of estimator features if n_nearest_features is not None, the
imputation_order
ifrandom
, and the sampling from posterior ifsample_posterior
is True. Use an integer for determinism. See the Glossary.- add_indicator : boolean, optional (default=False)
If True, a
MissingIndicator
transform will stack onto output of the imputer’s transform. This allows a predictive estimator to account for missingness despite imputation. If a feature has no missing values at fit/train time, the feature won’t appear on the missing indicator even if there are missing values at transform/test time.
Attributes: - initial_imputer_ : object of type
sklearn.impute.SimpleImputer
Imputer used to initialize the missing values.
- imputation_sequence_ : list of tuples
Each tuple has
(feat_idx, neighbor_feat_idx, estimator)
, wherefeat_idx
is the current feature to be imputed,neighbor_feat_idx
is the array of other features used to impute the current feature, andestimator
is the trained estimator used for the imputation. Length isself.n_features_with_missing_ * self.n_iter_
.- n_iter_ : int
Number of iteration rounds that occurred. Will be less than
self.max_iter
if early stopping criterion was reached.- n_features_with_missing_ : int
Number of features with missing values.
- indicator_ :
sklearn.impute.MissingIndicator
Indicator used to add binary indicators for missing values.
None
if add_indicator is False.
See also
SimpleImputer
- Univariate imputation of missing values.
Notes
To support imputation in inductive mode we store each feature’s estimator during the
fit
phase, and predict without refitting (in order) during thetransform
phase.Features which contain all missing values at
fit
are discarded upontransform
.Features with missing values during
transform
which did not have any missing values duringfit
will be imputed with the initial imputation method only.References
[Rcd31b817a31e-1] Stef van Buuren, Karin Groothuis-Oudshoorn (2011). “mice: Multivariate Imputation by Chained Equations in R”. Journal of Statistical Software 45: 1-67. Methods
fit
(self, X[, y])Fits the imputer on X and return self. fit_transform
(self, X[, y])Fits the imputer on X and return the transformed X. get_params
(self[, deep])Get parameters for this estimator. set_params
(self, \*\*params)Set the parameters of this estimator. transform
(self, X)Imputes all missing values in X. -
__init__
(self, estimator=None, missing_values=nan, sample_posterior=False, max_iter=10, tol=0.001, n_nearest_features=None, initial_strategy=’mean’, imputation_order=’ascending’, min_value=None, max_value=None, verbose=0, random_state=None, add_indicator=False)[source]¶
-
fit
(self, X, y=None)[source]¶ Fits the imputer on X and return self.
Parameters: - X : array-like, shape (n_samples, n_features)
Input data, where “n_samples” is the number of samples and “n_features” is the number of features.
- y : ignored
Returns: - self : object
Returns self.
-
fit_transform
(self, X, y=None)[source]¶ Fits the imputer on X and return the transformed X.
Parameters: - X : array-like, shape (n_samples, n_features)
Input data, where “n_samples” is the number of samples and “n_features” is the number of features.
- y : ignored.
Returns: - Xt : array-like, shape (n_samples, n_features)
The imputed input data.
-
get_params
(self, deep=True)[source]¶ Get parameters for this estimator.
Parameters: - deep : boolean, optional
If True, will return the parameters for this estimator and contained subobjects that are estimators.
Returns: - params : mapping of string to any
Parameter names mapped to their values.
-
set_params
(self, **params)[source]¶ Set the parameters of this estimator.
The method works on simple estimators as well as on nested objects (such as pipelines). The latter have parameters of the form
<component>__<parameter>
so that it’s possible to update each component of a nested object.Returns: - self
-
transform
(self, X)[source]¶ Imputes all missing values in X.
Note that this is stochastic, and that if random_state is not fixed, repeated calls, or permuted input, will yield different results.
Parameters: - X : array-like, shape = [n_samples, n_features]
The input data to complete.
Returns: - Xt : array-like, shape (n_samples, n_features)
The imputed input data.


This is the main class used to display a ps2 synth.
| Name | Definition | Description |
|---|---|---|
| PS2Viewer | PS2Viewer(containerElement:node, options?: PS2ViewerOptions) | Initialize a new instance of PS2Viewer class. |
| Name | Return value | Description |
|---|---|---|
| addEventListener(eventName, callback) | None | Register the provided callback to the specified event. |
| blur() | None | Removes focus from the viewer so that it does not respond to keyboard events. |
| dispose() | None | Deletes the viewer object and releases any associated resources. (Sadly it's leaking if the hidden 42 menu has been invoked: dat.gui needs to be fixed.) |
| focus() | None | Applies focus to the viewer so that it responds to keyboard events. |
| getCameraMode() | PS.Packet.ViewMode | Return the current camera mode of the player from the PS.Packet.ViewMode enum. (Smooth=0, Linear=1, Global=2) |
| getInternal() | PS.Packet.Player | Return the internal PS.Packet.Player object (use with caution!). |
| goHomeZoom() | None | If the viewer is zoomed into a seadragon image it will zoom back to the 'home' level. |
| gotoCamera(camera, options) | None | Move the viewer to the specified camera on the path. You can provide 2 options: onComplete callback or speedFactor number. |
| isHomeZoom() | boolean | Return if the seadragon viewer is at the home zoom level. |
| isPlaying() | boolean | Return if the viewer is animating (=if the user has pressed the play button, it's also true if autoStart=true) |
| load(url) | None | Load the synth from the provided url (could be local or remote) into the viewer. |
| loadGuid(guid) | None | Load the synth hosted on photosynth.net. |
| play(direction) | None | Start playing the synth (direction could be null or 1 or -1, null = respect last dragging direction, and 1 or -1 are used to define the default or reverse way) |
| preload(url, onPreloaded) | None | Start preloading a dataset. The onPreloaded callback is fired when the dataset is preloaded with the dataset as first argument. (see example bellow). |
| removeEventListener(eventName, callback) | None | Remove the callback previously registered with addEventListener. |
| resize(width, height, mode) | None | Resize the viewer to the specified size. mode is a PS.Packet.ResizeMode enum: 0=Fast = css scaling only 1=Slow = resize the webgl renderer too |
| setActiveDataset(dataset) | None | Change the current active dataset (swap the dataset being viewed). |
| setAnimationSpeed(speed) | None | Change the animation speed. |
| setCameraMode(mode) | None | Change the camera mode (mode is a PS.Packet.ViewMode enum: Smooth=0, Linear=1, Global=2) |
| setPosition(qIndex) | None | Manually change the position on the path (qIndex = number from 0 to dataset.path.nbPoints) |
| stop(onStopped) | None | Stop the animation of the viewer. There is a tween to stop the motion, so the optionnal onStopped callback is fired when the viewer is actually stopped. |
| togglePlay(options) | None | Toggle the playing status of the viewer (between play/stop). The options object contains the direction and onStopped property with same meaning as in play and stop function. |
| Name | Arguments | Description |
|---|---|---|
| animation-start | None | Occurs when the viewer start animating. |
| animation-stop | None | Occurs when the viewer stop animating. |
| annotate | Internal usage. Occurs when the user click on the annotate button. | |
| camera-changed | camera, sIndex | Occurs when the viewer resting camera is changed. (First argument is a PS.Packet.Camera, Second argument is the sIndex of that camera) |
| camera-mode-changed | mode | Occurs when the camera mode of the viewer is changed. (mode = PS.Packet.ViewMode enum) |
| cameras-changed | sIndexA, sIndexB | Occurs when the pair of camera surrounding the virtual camera is changed. This will occur while dragging on the path |
| container-transformed | Internal usage | |
| dataset-loaded | dataset | Occurs when the minimal amount of data needed to render a dataset has been loaded and parsed. dataset is a PS.Packet.Dataset object. |
| dataset-rendered | dataset | Occurs when the dataset is rendered (=when the webgl renderer is rendering it). dataset is a PS.Packet.Dataset object. |
| enter-fullscreen | None | Occurs when entering fullscreen mode |
| exit-fullscreen | None | Occurs when exiting fullscreen mode |
| geometry-loaded | None | Occurs when all geometry of the synth have been loaded (the viewer has reach 100% and will start animating at this stage if autoStart=true and if the user hasn't interacted with the synth before this stage) |
| imagery-loaded | None | Occurs when all HD imagery of the synth have been loaded (this will happen after geometry-loaded) |
| pose-changed | None | Internal usage (trigger when the viewer is snapping to a resting frame) |
| position-changed | qIndex | Occurs when the viewer is moving. The position can be off. You can fix it by calling dataset.path.fixRange(qIndex). |
| resize | resizeState, resizeMode | Occurs when the viewer is resized. |
| seadragon-resize | Internal usage | |
| viewer-built | None | Fired when the viewer DOM is created. |
| viewer-updated | None | Fired when the viewer DOM is changed (due to a call to .load() and for the intial loading). |
| zoom-level-changed | isHomeZoom | Occurs when the viewer start to zoom into a seadragon image or when it comes back to the home zoom level. |
var _container = document.getElementById("viewer-container");
var _viewer = new Photosynth.PS2Viewer(_container, {
pathToWorker: "js/PS2PacketPlayer.worker.min.js"
});
_viewer.loadGuid("676195e2-64ca-43f5-80ba-a7cb7b10e3aa");
var _guid = "676195e2-64ca-43f5-80ba-a7cb7b10e3aa";
//loadGuid is ...
_viewer.loadGuid(_guid);
//... a shortcut for:
PS.API.getPS2Url(_guid, function(url) {
if (url) {
_viewer.preload(url, function(dataset) {
_viewer.setActiveDataset(dataset);
});
}
else {
//not a valid ps2 guid
}
});
var _guid = "676195e2-64ca-43f5-80ba-a7cb7b10e3aa";
var _firstCamera;
var _lastCamera;
var _viewer = new Photosynth.PS2Viewer(_container, {
pathToWorker: "js/PS2PacketPlayer.worker.min.js",
autoStart: false
});
_viewer.addEventListener("dataset-loaded", function(dataset) {
var cameras = dataset.cameras;
_firstCamera = cameras[0];
_lastCamera = cameras[cameras.length-1];
});
_viewer.addEventListener("geometry-loaded", function() {
_viewer.gotoCamera(_firstCamera, {
onComplete: function() {
_viewer.gotoCamera(_lastCamera);
}
});
});
_viewer.loadGuid(_guid);


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0.000001 ꜩ
|
|
Fee:
21000μꜩ (0.021ꜩ)
|
|
Gas limit:
200000
|
|
Storage limit:
50
|
TezVote is a free tool developed by TezTech Labs. We aim to provide user friendly tools to help delegation services and delegators when it comes to the protocol amendment process and on-chain voting. We believe a transparent, on-chain and secure method to survey stakeholder sentiment is vital to help delegators and delegates through this process.
Currently, delegation services have control of a lot of voting power, but some lack the tools to accurately gauge the voting sentiment of their users. We hope TezVote will provide an accurate, auditable and on-chain process to assist with this process.
We have deployed a very simple smart contract which when called, stores the senders address and a corresponding vote. This is important because it is on-chain, and can't be set by anyone but the owner of the private key.
We pull all results from the blockchain, and store them in a secondary database to improve usability, whilst remaining auditable. We use the latest snapshot taken on the network to measure the weight (tez) of each stakeholder and corresponding on-chain vote.
The best place to read and discuss the pros and cons of the current proposals is on Kialo - you can also ask on Reddit, follow the Nomadic Labs blog or join the Riot chat room.


Okay, some of us love it. But it gets a little tricky. Those cruel, cruel curly brackets.
Fullstack Software Engineer and Senior Consultant
Technology Leader, Data Expert, Applied Researcher, and Public Policy Professional
Data Analyst and Senior Consultant


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/max.20of.20subsequence.html ---
is there a concise way, if I have f : nat -> rat
, to obtain the maximum of the sequence as it ranges from 0..N?
i mean, i can definitely apply max recursively N times starting from 0, but then I have to prove a bunch of theorems about the definition
Not really. There should be a list.max
for this, it seems to come up often. You can at least list.foldl max 0
applied to the list map f (range n)
i will investigate this, thanks
I'm not sure that's actually better than just the recursive definition though
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


TComponentDefinition specifies the definition of a component type. It includes the component property and event definitions, the component template parsing result.
TComponentDefinition can be used to realize a component instance, i.e., setting property intial values, binding event handlers, and creating child components and body content.
Components declared in the template will be instantiated and added as children of the component. The container-containee relationship will also be established.


{% extends 'base.html' %} {% load humanize %} {% load papers %} {% block whole_title %}arXiv Vanity – Read academic papers from arXiv as web pages{% endblock %} {% block footer_class %}fixed{% endblock %} {% block extra_head %} {% endblock %} {% block content %}
arXiv Vanity renders academic papers from arXiv as responsive web pages so you don’t have to squint at a PDF.
For example, Generative Adversarial Networks: An Overview
To convert papers with one click, install our Chrome extension or drag this bookmarklet to your bookmarks bar:


You file was converted Successfully!
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[
Top
]
[
Contents
]
[
Index
]
[
?
]
Table of Contents
1. Start Using Quickly
2. Using SimpleJMX
2.1 Downloading Jar
2.2 Naming Objects
2.2.1 @JmxResource Annotation
2.2.2 Self Naming Objects
2.3 Exposing Fields and Methods
2.3.1 @JmxAttributeField Annotation
2.3.2 @JmxAttributeMethod Annotation
2.3.3 @JmxOperation Annotation
2.4 Starting a JMX Server
2.5 Registering Objects
2.6 Publishing Using Code Definitions
2.7 Using the JMX Client
2.8 Using With the Spring Framework
3. Example Code
4. Open Source License
Index of Concepts
[
Top
]
[
Contents
]
[
Index
]
[
?
]
This document was generated by
Gray Watson
on
February, 19 2013
using
texi2html 1.70
.


Basic Sorting Algorithms
Home
Video source: https://imgur.com/gallery/voutF
Common Algorithms
Information source: https://brilliant.org/wiki/sorting-algorithms/
Efficiency
Image and information source: https://www.openlearning.com/u/chen.qi/blog/2013-7-25_21-3-55_EngineeringReportonDetectingSortingalgorithms
Information Source: https://brilliant.org/wiki/sorting-algorithms/
Complexity
Information Source: https://brilliant.org/wiki/space-complexity/
Information Source: https://brilliant.org/wiki/sorting-algorithms/
Image Source: https://medium.com/@moniquetuin/if-sorting-algorithms-were-pokemon-9f79ff4c973a


| Modifier and Type | Method and Description |
|---|---|
Canvas |
MinusculeWindow.getCanvas() |
| Modifier and Type | Method and Description |
|---|---|
void |
MShape.delete(Canvas c) |
void |
MPolygon.delete(Canvas c) |
void |
MLabel.delete(Canvas c) |
void |
MGeometricObject.delete(Canvas canvas)
Deletes the given object from the canvas.
|
MShape |
MShape.draw(Canvas canvas) |
MRectangle |
MRectangle.draw(Canvas canvas) |
MPolygon |
MPolygon.draw(Canvas canvas) |
MPoint |
MPoint.draw(Canvas c) |
MLine |
MLine.draw(Canvas c) |
MLabel |
MLabel.draw(Canvas c) |
abstract MGeometricObject |
MGeometricObject.draw(Canvas canvas)
Adds the object into the internal list of objects in the canvas and calls
the
repaint() method of the Canvas . |
| Constructor and Description |
|---|
CanvasPopUpMenu(Canvas canvas,
MinusculeWindow window)
Creates a new pop up menu
|
MLabelPainter(Canvas c)
MLabelPainter requires access to canvas: it needs to ask the canvas
whether Euclidean coordinates are in use or not and draw the labels
accordingly.
|
PainterManager(Canvas canvas)
Initializes the
PainterManager which makes sure that the
same geometric objects share one painter. |


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Hey! I'm Guilherme. Coding has changed my world. It's not just about apps. Learning to code gave me problem-solving skills and a way to communicate with others on a technical level. I can also develop websites and use my coding skills to get a better job.
"Declare variables, not war"
| Day | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| 8-8:30 | Learn | ||||
| 9-10 | Practice | ||||
| 1-1:30 | Play | ||||
| 3:45-5 | Code | ||||
| 6-6:15 | Discuss |


I Can't Even Today
Providing inspirational quotes and happy GIFs to brighten up the day.
Still can't even?


Sort Data
Original Data
Import State
Import Partial State
Export State
Export Partial State
Import Graph
Log Graph
Done
Action Trace


| LIN | NSN | Item Name | PBIC | Type | DND | Qnty |
|---|---|---|---|---|---|---|
| ENCRYPTION-DECRYPTI | N | TPE | N | 2 | ||
| COMPUTER, MICRO LAP-TOP PORTABLE | 9 | INS | N | 1 | ||
| COMPUTER, MICRO LAP-TOP PORTABLE | 9 | INS | N | 2 | ||
| COMPUTER, MICRO LAP-TOP PORTABLE | 9 | INS | N | 2 | ||
| COMPUTER, MICRO LAP-TOP PORTABLE | 9 | INS | N | 1 | ||
| MONITOR: VIEW SONIC , VCDTS23852 | 9 | INS | N | 1 | ||
| MULTIPLEXER, STATISTICAL: 400 PR | N | TPE | N | 1 | ||
| DLTD AND AXLR UNV CAM | N | TPE | N | 25 | ||
| EN DEC TACLANE KG 175 | N | TPE | N | 1 | ||
| ENCRYPT DECRYPT KIV 7 | N | TPE | N | 7 | ||
| TRENCHER HITACHI M361 ODD | N | TPE | N | 1 | ||
| TELEPHONE CELLULAR: 1100 NOKIA | 9 | INS | N | 2 | ||
| TELEPHONE SATELLITE: 1DGC1906XA | N | TPE | N | 1 | ||
| TRUNK ENCRYPTION DEVICE KIV 19 | N | TPE | N | 11 | ||
| MOTOROLA 2-WAY RADIO XTN:XV-2600 | N | TPE | N | 9 | ||
| CATALYST, CISCO 3560: 3560G CISC | 9 | INS | N | 2 | ||
| CATALYST SWITCH | 9 | INS | N | 3 | ||
| CATALYST SWITCH CISCO 3750 12 SF | 9 | INS | N | 3 | ||
| TESTER KIT,EARTH GROUND RESISTAN | 9 | INS | N | 2 | ||
| COMPUTER SYSTEM,DIGITAL-(91715TV | 9 | INS | N | 1 | ||
| SERVER COMPUTER NETWORK: POWERED | 9 | INS | N | 1 | ||
| COMPUTER/LAPTOP HARD DRIVES: 300 | 9 | INS | N | 2 | ||
| TOOL KIT,FIBER OPTIC SYSTEM | 9 | INS | N | 2 | ||
| FREEZER,MECHANICAL,-(28447) | 9 | INS | N | 1 | ||
| TR 1 1/4T 4X4 M998P1 | N | TPE | N | 2 | ||
| TRK UTIL 1-1/4T M998 | P | TPE | Y | 1 | ||
| TRUCK CARGO M1078A1P1 | P | TPE | N | 2 |


Surface: f(x,y)=2y+sin(x)^3
Parametric Curve: y(t)=t, x(t)=cos(t), z(t)=sin(t) (use t for θ)Parametric Surface: x(s,t)=3cos(s)cos(t), y(s,t)=8cos(s)sin(t), z(s,t)=2sin(s)
Cylindrical: r(t)=sin(4t)/2, (use t for θ)
Spherical: r(t,p)=6cos(t)sin(t)sin(p) (use t for θ and p for ϕ)
Graphy 3D supports implicit multiplication and the 'a^b' syntax for exponentiation.
Thank you for downloading Graphy3D. The source to this program will be made available sometime in the future. Sorry, I am very busy right now. Some of my other HTML5 and WebGL projects are also available here:http://kfh-html5-projects.pancakeapps.com


Class: Sass::Importers::Base Abstract
- Inherits:
-
Object
- Object
- Sass::Importers::Base
- Defined in:
- /usr/local/google-old/home/code/sass-site/.sass/lib/sass/importers/base.rb
Overview
The abstract base class for Sass importers. All importers should inherit from this.
At the most basic level, an importer is given a string and must return a Engine containing some Sass code. This string can be interpreted however the importer wants; however, subclasses are encouraged to use the URI format for pathnames.
Importers that have some notion of “relative imports” should take a single load path in their constructor, and interpret paths as relative to that. They should also implement the #find_relative method.
Importers should be serializable via Marshal.dump
.
Direct Known Subclasses
Instance Method Summary (collapse)
-
- (Array<String>) directories_to_watch
If the importer is based on files on the local filesystem this method should return folders which should be watched for changes.
-
- (Sass::Engine?) find(uri, options)
Find a Sass file, if it exists.
-
- (Sass::Engine?) find_relative(uri, base, options)
Find a Sass file relative to another file.
-
- ((String, String)) key(uri, options)
Get the cache key pair for the given Sass URI.
-
- (Time?) mtime(uri, options)
Returns the time the given Sass file was last modified.
-
- (String?) public_url(uri, sourcemap_directory = nil)
Get the publicly-visible URL for an imported file.
-
- (String) to_s
A string representation of the importer.
-
- (Boolean) watched_file?(filename)
If this importer is based on files on the local filesystem This method should return true if the file, when changed, should trigger a recompile.
Instance Method Details
- (Array<String>) directories_to_watch
If the importer is based on files on the local filesystem this method should return folders which should be watched for changes.
160 161 162 |
# File '/usr/local/google-old/home/code/sass-site/.sass/lib/sass/importers/base.rb', line 160
def directories_to_watch
[]
end
|
- (Sass::Engine?) find(uri, options)
Find a Sass file, if it exists.
This is the primary entry point of the Importer. It corresponds directly to an @import
statement in Sass. It should do three basic things:
- Determine if the URI is in this importer’s format. If not, return nil.
- Determine if the file indicated by the URI actually exists and is readable. If not, return nil.
- Read the file and place the contents in a Engine. Return that engine.
If this importer’s format allows for file extensions, it should treat them the same way as the default Filesystem importer. If the URI explicitly has a .sass
or .scss
filename, the importer should look for that exact file and import it as the syntax indicated. If it doesn’t exist, the importer should return nil.
If the URI doesn’t have either of these extensions, the importer should look for files with the extensions. If no such files exist, it should return nil.
The Engine to be returned should be passed options
, with a few modifications. :syntax
should be set appropriately, :filename
should be set to uri
, and :importer
should be set to this importer.
82 83 84 |
# File '/usr/local/google-old/home/code/sass-site/.sass/lib/sass/importers/base.rb', line 82
def find(uri, options)
Sass::Util.abstract(self)
end
|
- (Sass::Engine?) find_relative(uri, base, options)
Find a Sass file relative to another file. Importers without a notion of “relative paths” should just return nil here.
If the importer does have a notion of “relative paths”, it should ignore its load path during this method.
See #find for important information on how this method should behave.
The :filename
option passed to the returned Engine should be of a format that could be passed to #find.
42 43 44 |
# File '/usr/local/google-old/home/code/sass-site/.sass/lib/sass/importers/base.rb', line 42
def find_relative(uri, base, options)
Sass::Util.abstract(self)
end
|
- ((String, String)) key(uri, options)
Get the cache key pair for the given Sass URI. The URI need not be checked for validity.
The only strict requirement is that the returned pair of strings uniquely identify the file at the given URI. However, the first component generally corresponds roughly to the directory, and the second to the basename, of the URI.
Note that keys must be unique across importers. Thus it’s probably a good idea to include the importer name at the beginning of the first component.
117 118 119 |
# File '/usr/local/google-old/home/code/sass-site/.sass/lib/sass/importers/base.rb', line 117
def key(uri, options)
Sass::Util.abstract(self)
end
|
- (Time?) mtime(uri, options)
Returns the time the given Sass file was last modified.
If the given file has been deleted or the time can’t be accessed for some other reason, this should return nil.
96 97 98 |
# File '/usr/local/google-old/home/code/sass-site/.sass/lib/sass/importers/base.rb', line 96
def mtime(uri, options)
Sass::Util.abstract(self)
end
|
- (String?) public_url(uri, sourcemap_directory = nil)
Get the publicly-visible URL for an imported file. This URL is used by source maps to link to the source stylesheet. This may return nil
to indicate that no public URL is available; however, this will cause sourcemap generation to fail if any CSS is generated from files imported from this importer.
135 136 137 138 139 140 141 142 |
# File '/usr/local/google-old/home/code/sass-site/.sass/lib/sass/importers/base.rb', line 135
def public_url(uri, sourcemap_directory = nil)
return if @public_url_warning_issued
@public_url_warning_issued = true
Sass::Util.sass_warn <<WARNING
WARNING: #{self.class.name} should define the #public_url method.
WARNING
nil
end
|
- (String) to_s
A string representation of the importer. Should be overridden by subclasses.
This is used to help debugging, and should usually just show the load path encapsulated by this importer.
151 152 153 |
# File '/usr/local/google-old/home/code/sass-site/.sass/lib/sass/importers/base.rb', line 151
def to_s
Sass::Util.abstract(self)
end
|
- (Boolean) watched_file?(filename)
If this importer is based on files on the local filesystem This method should return true if the file, when changed, should trigger a recompile.
It is acceptable for non-sass files to be watched and trigger a recompile.
172 173 174 |
# File '/usr/local/google-old/home/code/sass-site/.sass/lib/sass/importers/base.rb', line 172
def watched_file?(filename)
false
end
|


Please proceed with caution!
Delete Product
Oops! There was an error deleting this product. Please try again.


ClipboardUnregisterItem()
Using
ClipboardUnregisterItem()
, you can revert one level of clipboard changes. Note that this works for only one level; there is no way to back out more than one change to the clipboard. This routine can not "undo" itself; that is, calling this routine twice in a row will leave the clipboard in a state other than the original state.


10+ years of experience in Java based technologies with Spring / J2EE / Docker / Kubernetes
5+ years of experience in Python writing REST API(s)


Right by "Les Bergers", one of the main ski lifts departure.
Bedroom : 2 double beds + 2 singlesLiving room : Bed sofa 160 x 200
Italian showerSeparate toilet
Freebox TV - More than 200 channels.


Leonard Joseph Fournette III is an American football running back for the Jacksonville Jaguars of the National Football League (NFL).
He played college football at LSU, and was drafted by the Jaguars with the fourth overall pick in the 2017 NFL Draft. Fournette was a consensus All-America
selection following his sophomore season in 2015, after setting school single-season records with 1,953 rushing yards and 22 rushing touchdowns, and leading
the country with 162.8 rushing yards per game. Various experts regarded him as the best player in college football, comparing him to all-time great Herschel Walker.
Fournette joined the Tigers with near-unprecedented hype in 2014 after an outstanding career at St. Augustine High School in New Orleans, winning the 2013
USA Today High School Football Offensive Player of the Year and being named the No. 1 overall recruit in 2014 senior class according to ESPN, 247Sports.com,
and CBS Sports.
In January 2017, Fournette signed a multi-year deal with Under Armour that a source said is one of the most valuable endorsement contracts ever for an NFL rookie.
"We have a roster of athletes that we choose and we're never going to be that company that just collects athletes just to have the most,"
said Ryan Kuehl, the company's senior vice president of sports marketing. "We look for special people, who have the talent, the character, the story
and the sense of purpose. Leonard Fournette fits that model."
Fournette wore Under Armour in high school at St. Augustine in New Orleans and played in the Under Armour All-America game in 2014, where he announced his decision
to go to LSU. "I've always had a great relationship with Under Armour and it means a lot that a company wants me to wear their product and that I'm
good enough to represent them," said Fournette.


Ryan Grzybowski | FOR THE POST
Peter Barrett screen prints the Creamy logo on a one unique piece while Stephen looks over him on Tuesday Nov. 12, 2019
That’s why one Ohio University student came up with a fashion brand that redefines individuality, while utilizing sustainable practices, called Creamy Studios. Stephen Barrett, a senior studying fashion retail, is the brains behind the operation.
“It’s a streetwear brand, but we also like to think of it as a creative studio,” Barrett said. “We don’t want to limit ourselves to just fashion.”
Stephen, along with his brother, Peter Barrett, a junior studying studio art, lead the charge of creating, marketing and selling their fashion pieces, which includes shirts, hoodies and much more.
“It’s so cool to see other people wearing shirts that we’ve made,” Peter said.
But Creamy Studios wasn’t created overnight. The brand took brains, creativity, a lot of help from friends and one big idea.
A man with a plan
In spring 2018, Stephen decided to take a semester off school to soul search through an Outward Bound trip. He needed money to pay for his trip, so he started painting up a few T-shirts and hooded sweatshirts to sell. He made an Instagram for the products and sold them to a few people.
When he got back from the trip, he got Peter involved.
Stephen wanted people to buy something from them, knowing it’s going to be unique to them. Creamy Studios sells more than clothes: they also sell artwork, album covers and posters.
Eventually, they want to sell stickers, rather than just including a sticker with each order, and also expand to selling graphic artwork or video services, but for now, that remains on the backburner.
Through the creation of Creamy Studios, Stephen realized he wanted to get out of his education major and switch to fashion retail. He knew involving Peter was the right choice because he was a huge proponent of art and fashion.
“I wanted him to be a part of it,” Stephen said. “I wanted to share it, and we’ve grown closer through doing it together. It’s a lot of work, so we need each other to get it done.”
Growing up, Stephen and Peter both loved thrift shopping. One of their favorite pastimes was to find unique and individual pieces of clothing at various thrift stores, so they incorporated that philosophy into the brand.
A lot of the clothing pieces they use in the brand have been thrifted and redesigned for their customers, but they also take clothes from their customers and design it in whatever way they desire.
The designs and alterations include anything from bleaching and dying the clothes to cutting, sewing or hand painting the clothes. They can also screen print logos or artwork onto the pieces.
Ryan Grzybowski | FOR THE POST
One of Creamy Studio's peice is shown after being completed on Tueday Nov. 12, 2019
Each of their seasonal collections is mainly cohesive through colors and material. Though most of their sales come through their website, they also have a Depop site to sell pieces and will take custom orders or existing piece inquiries through their Instagram account, @creamy.studios. Sometimes their sales are even as simple as their friends looking through their closets, picking out what they like and buying it on the spot.
As the brothers generated excitement around their growing brand, they knew they would need more help. They asked Mitch Suder, a junior studying interactive media, to help out.
Suder mainly helps to plan the photoshoots of the pieces and clothing drops, but like everyone else involved with the brand, he helps out where he can.
Stephen and Peter also asked Gerhardt Bornschlegl, a senior studying integrated media, to lead photography for the brand.
“He pitched the brand as ‘artwear,’ and I really like the idea of wearing art,” Bornschlegl said. “It appeals to the side of me that looks at fashion as being a form of expression and artwork.”
Stephen and Peter wanted models to walk in their clothes. Kay Collins, a sophomore studying photojournalism, is one of them.
“I really like their designs and their vision,” Collins said. “I think Creamy Studios is important because they’re open-minded and fresh.”
An idea like this one requires lots of funding, but the brothers have only utilized out-of-pocket funds. All of the money they make goes right back into the brand.
Sustainable practices
Creamy Studios practices the art of upcycling, which is buying used clothes and reselling them. They’re dedicated to conscious consumption, and that all began when they were young.
Stephen and Peter’s mom inspired them to be passionate about sustainability. They were big on hand-me-downs and thrifting, but it also came from their family’s love of the outdoors and camping. As Stephen and Peter have watched the climate change, they decided it’s important to play whatever role they can in bettering the planet.
“Today’s world is definitely trying to push for a greener world, and generationally, business standards are moving toward that, so I think the culture is more understanding that we need to be more cautious with the planet and global warming,” Suder said. “So Creamy is definitely on the best side of that.”
Ryan Grzybowski | FOR THE POST
Cream Studio's packaging and design on a table. Tuesday Nov. 12, 2019
Sustainability through their clothing has been a great marketing point for Stephen and Peter, whose biggest learning experience has been about building the brand and marketing.
“We’re still learning,” Stephen said. “Learning about the fashion industry as a whole, us both coming into it, not knowing a ton beforehand. It’s a very saturated market, so how do we market, and how do we promote the brand? Part of that is our dedication to conscious consumption.”
Their commitment to sustainability has not only drawn customers, but it’s what attracted a lot of the people who help them out with the brand.
“Something that stood out to me was the idea of using recycled clothing and making designs on these recycled clothes,” Bornschlegl said. “The sustainability that he’s (Stephen) emphasizing by recycling old clothing into new art is so inspiring in terms of being mindful of carbon footprint.”
Stephen and Peter have both had the best time creating the brand, but most importantly are happy they could combine their two loves, art and sustainability, into something that they love.
“If we can be creative, and through that try to minimize that carbon footprint, that’s a win in our book,” Stephen said.
More than just a brand
Suder, Collins, Bornschlegl and the other people helping Stephen and Peter with the brand have felt like this is a step in the right direction career-wise.
“It feels like I’m getting my foot in the door with the creative industry, and it feels like we’re cohesively working together toward something,” Suder said. “Whether its social media posts or just playing with the clothes, it’s a lot of fun.”
They know their work is nowhere near finished. In the short term, Creamy Studios was invited to do a show by the organization RAW for underground artists and will coincide its fall clothing drop with the show.
In the long term, both Stephen and Peter would love to be self-employed and work together with a small team to create content. They want to continue producing clothes but also transition into a creative content platform with music videos, concert promotion and more.
Stephen and Peter hope their brand can be an inspiration for anyone trying to get into the fashion industry or simply anyone trying to start their own business. More than anything, the brothers want Creamy Studios to act as a beacon for people to embrace their own creative sides.
However, the brothers’ efforts with Creamy Studios have already greatly inspired the members of their team.
“The act of being able to create with him is really great, so the collaboration is definitely at the top of my favorite reasons of being a part of this,” Bornschlegl said. “Just being able to put my mark on something that’s much bigger than myself and collaborate with these people is helping me mature as an artist, and that’s just priceless.”
Through combining their love for art and sustainability, the two brothers have grown closer than ever. They both know they have Creamy Studios to thank for that.
“Yeah, we were close before, but we’re way closer now,” Stephen said. “Like, we were brothers, but now we’re business partners and friends, and it’s made our relationship richer.”


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Good evening, I'm Doctor Emmett Brown. I'm standing on the parking lot of Twin Pines Mall. It's Saturday morning, October 26, 1985, 1:18 a.m. and this is temporal experiment number one. C'mon, Einy, hey hey boy, get in there, that a boy, in you go, get down, that's it. Watch it, Goldie. What kind of date? I don't know, what do kids do in the fifties? Look, George, I'm telling you George, if you do not ask Lorraine to that dance, I'm gonna regret it for the rest of my life. Just turn around, McFly, and walk away. Are you deaf, McFly? Close the door and beat it.
Alright, take it up, go. Doc. Look me up when you get there, guess I'll be about 47. My name's Lorraine, Lorraine Baines. He's absolutely right, Marty. the last thing you need is headaches. Ah, where're my pants?
C'mon, open up, let me out of here, Yo. Oh, what I meant to day was- Time machine, I haven't invented any time machine. Evening, Doctor Brown, what's with the wire? That's a big bruise you have there.
You got a real attitude problem, McFly.  You remind me of you father when he went her, he was a slacker too. We never would have fallen in love. C'mon, open up, let me out of here, Yo. Thank you. In about thirty years. I'm sure that in 1985, plutonium is available at every corner drug store, but in 1955, it's a little hard to come by. Marty, I'm sorry, but I'm afraid you're stuck here.


| DOSE: T+ 0:00 |
22.5 mg |
oral |
Hydrocodone |
(pill / tablet) |
| T+ 0:57 |
7.5 mg |
oral |
Hydrocodone |
(pill / tablet) |
| T+ 2:00 |
2 bowls |
smoked |
Cannabis |
(plant material) |
| T+ 3:00 |
2 bowls |
smoked |
Cannabis |
(plant material) |
Iíve recently been experimenting with quite a few drugs, including DXM, opium, and all sorts of different colored pharmaceuticals, but my most recent drug is hydrocodone. Now the other night I took 15mgs and smoked about a half gram of some really good pot, which I tend to mix it with all of the drugs I do. This high started off slow but really got to me soon. It in fact hit me incredibly hard. The paranoia was unfortunately really bad as I was overwhelmed by the experience and didnít relax as much as I should have. After about an hour and a half I was tripping more than I think I ever have in my life. Not having found much on the Internet about this drug I started to freak out and get scared. In an attempt to bring myself back into reality I put in some stand up comedy that I have, since listening to someone talk generally brings me back. Soon my trip started to level off and I was able to enjoy myself listening to some good music and making an attempt at playing some video games.
Well though this first attempt didnít go as well as I had hoped, I decided to make a second attempt. Now you have to understand that I prepare my surroundings before I start to trip on anything, so as not to have to worry about anything. So I went downstairs and fixed myself some food, then grabbed something to drink. When Iím high I generally like actual solid food so regular munchies just donít cut it for me. I wrapped the food up and put it in the fridge so I would just have to turn on the microwave when I wanted it, I took the drink back upstairs and set a few cans of coke on my desk next to my computer.
I set my alarm clock to go off when I want to go to bed so that I donít accidentally stay awake all night and I set up a black light in my room. On my computer I set up a play list of the most relaxing music that I have mixed in with some stand up comedy to bring me back every once in a while. I took 4 lortab-7.5 and sat back waiting for it to kick in down in the living room, once I started to feel some effects I came upstairs and began to write this log. So I will be writing this whole thing while Iím on my tripÖ here goes
10:30 Ė I broke in half three pills of lortab-7.5 and downed them with a glass of water, I also downed two caffeine pills. It shouldnít make any difference but I thought it a good idea to note, then headed downstairs and watched some TV with my bro.
11:05 Ė From here on out this whole thing is being typed as it happens so you may have to bear with me. I am feeling some effects of calmness and a sort of lifting of my
spirit, I want to call someone and talk but Iíll wait until later to do that.
11:18 Ė I think I am going to go take another pill, but I will give it another few minutes. Iíve been finishing up some schoolwork. It may make me sound weird to be doing
that but I should finish it before I really start tripping, I may be a druggie but Iím
a druggie with good grades.
11:27 Ė I just downed that the fourth pill putting my amount at 30mg. I have something in my eye but down really care that much so Iíll get it out in a little while. Now
nearly an hour later I feel incredibly relaxed and I think Iím just going to chill for
another 30 or so minutes before I hit up a bowl or two of some bud.
11:35 Ė I just finished my Rubikís cube in 3 minutes and 15 seconds, that may sound
impressive but its really slow for me, I must try againÖ 1:38 thatís much better.
11:57 Ė I donít know what happened but I think Iím not reacting the same way.
12:12 Ė I am now headed to go smoke a few bowls but first I will have to create a pipe
out of a coke-can since I recently shattered my glass piece. Iíll be back shortly.
12:42 Ė Ok so that took me a little longer then I thought it would. I just smoked 2 bowls in my bath room. I turned on the fan to get rid of the smell and sprayed it with
Lysol.  I can barely think right now, I have a feel of relaxation and also kind of high strung. Iím hearing movement in the house but I think that itís just the house settling. That took me 5 minutes to write, its now 12:47.
1:05 Ė Ok Iíve really leveled out now, I think that the hydro is now flattening out to.
 I can hear the game that my brother is playing in the room next door, I can feel everything but nothing feels at all in pain, and my thoughts are really scattered yet clear at the same time.
1:29 Ė Ok Iíve been really high for about the past hour I believe that the hydrocodone is completely wore off but thatís ok, I still have a few more bowls of weed that Iím
going to smoke in a minute. Reflecting back the feeling that I had were very cool,
much like the last time except not as long and a lot less paranoia. I just went to get
something to eat, bagels.
2:05 Ė Ok I just got back from smoking a second time, I smoked two more bowls in my
Bathroom.  Its insane. I think I am having the hydrocodone after effects added
together with weed. I am feeling a little bit drowsy. I think I would have to say
that one of the greatest bands in the world is Radiohead, right behind Pink Floyd.
2:14 Ė Ok Iím really tired now and I need to sleep so Iím playing dark side of the moon
and going to bed, looking back, this has been a great high but I believe that the
best part was the part where the after effects of the hydro were in effect and I was
really high, but the other part was nice too.
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.


| filehandle = valid filehandle assigned from the ReadDir command |
| Returns true if more files are available to be read from the specified directory. |
|
;select a folder to read
folder$=CurrentDir$() ;open directory for reading dir=ReadDir( folder$ ) ;while more files in the directory... While MoreFiles( dir ) - ;print 'em out! - Print NextFile$( dir ) Wend Stop |


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Kevin Pulley
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IN THE MOOD FOR LOVE A film review by Steve Rhodes Copyright 2001 Steve Rhodes RATING (0 TO ****): *** 1/2
IN THE MOOD FOR LOVE is a beautifully shot, romantic drama that is unrelentingly sad but touchingly honest. Like THE AGE OF INNOCENCE, the picture which it most resembles, the story tells of two circumspect lovers who have the bad luck to be in love and married, but not to each other. A movie which is perhaps more remarkable for what it doesn't show than what it does, it draws us into its slow rhythms from the first scene. Among things left to our imagination are what their much-discussed-but-never-seen spouses are like and what, if any, physical intimacy, other than brief hand caresses, ever takes place between the two lovers.
The story begins in Hong Kong in 1962 when Mrs. Chan (Maggie Cheung) moves into the apartment next door to Mr. Chow (Tony Leung). Leung won the award for Best Actor at Cannes for his work as the show's troubled lover. Both performances are delicately nuanced and emotionally involving. In one long sequence we witness Mrs. Chan contemplating her sorrow. She is so frozen than she looks like life itself has knocked the breath out of her.
Writer and director Kar-wai Wong's last film was HAPPY TOGETHER, which I hated. This time, however, he comes up with a brilliant script and gets stunning performances out of his stars. A keenly observant film, it has us witnessing much of the action from a distance or from an adjoining room. Sometimes, we see one character but not the other in a conversation that takes place across rooms. And, sometimes, the actors leave us in the hallway as they carry on their discussions within our ear range but not within view.
The actions -- maybe activities would be a more apt term -- take place in offices as well as apartments, streets and restaurants. This is particularly refreshing since films tend to ignore office locales even though real human beings spend substantial portions of their lives there.
With both spouses out of town for an extended period -- Mrs. Chow has left for a while because of a marital spat, and Mr. Chan is abroad on a long business trip -- Mr. Chow and Mrs. Chan go to a restaurant together. Nominally, he has invited her out in order to find out where he could buy a handbag like hers as a birthday present for his wife. Mrs. Chan awkwardly points out that his wife probably wouldn't want the same purse as the woman next door. Her attempt at polite small talk fails as well. When she compliments his tie, he admits that all credit should go to his wife, since she chooses his clothes. Speaking of clothes, women really won the fashion race in 1960's Hong Kong. Mrs. Chan's tight-fitting, flowered-print dresses are uniformly alluring and beautiful, whereas Mr. Chow's thin ties and starched white shirts are unappealingly bland.
Slowly their relationship builds. How far it actually goes is up to the viewer's interpretation. Almost the only time that we see more than their hands touch is when Mr. Chow provides a shoulder for Mrs. Chan to cry on. But the signs of increasing intimacy are unmistakable, even if modest. He, for example, puts a dollop of hot mustard on her plate without asking permission. She smiles and takes his unspoken advice to sample it. It's a small moment, but quite a telling one.
"I'm just an average guy," an avuncular friend of Mr. Chow's tells him. "I don't keep secrets like you. I don't bottle things up." We can never be quite sure what relationship Mr. Chow has with Mrs. Chan, but we can tell that its necessary secrecy eats away at Mr. Chow like a cancer.
As the story advances, it becomes increasingly clear that our Mr. Chow and Mrs. Chan have never thought through the end game of their affair. The movie, on the other hand, seems to have thought of nothing but, containing, as it does, four endings. Surprisingly, these aborted attempts to stop are just as engrossing as the body of the story. IN THE MOOD FOR LOVE is a hauntingly beautiful tale that will stay with you long after the last of these many endings.
IN THE MOOD FOR LOVE runs 1:37. The film is in Cantonese with English subtitles. It is rated PG for thematic elements and brief language and would be acceptable for anyone old enough to be interested in the story's themes.
Email<EMAIL_ADDRESS>========== X-RAMR-ID: 28746 X-RT-AuthorID: 1271 X-RT-TitleID: 1104325 X-RT-RatingText: 3.5/4
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