The Investment Reports Extension (invextension.mxt) is a set of four useful investment reports which are displayed in table form or downloaded in .csv form to a directory of the user's choosing. Reports are detailed below, and a basic overview of classes is provided. Reference website is: http://code.google.com/p/moneydance-investment-reports/. Email for more info is<EMAIL_ADDRESS>Report Options:
Aggregation Options: Specifies how securities in different accounts will be summarized: choices are:
By Investment Account, Then By Tradeable Securities/Account Cash</i>: Aggregates by Investment Account, and then, within each investment account, breaks out performance data for all tradeable investments (e.g. Stocks/Bonds/Mutual Funds) and uninvested cash.
By Ticker: Aggregates by Security (regardless of which investment account). For example, if IBM is held in a taxable investment account and 401K, the aggregate will show total performance for IBM for both accounts.
By Security Type, Then By Security Sub Type: By Security Type, and then (within each Security Type), by Security Sub Type [as defined below]
Show Aggregates for Single Security: If enabled, prints composite report lines even if the composite consists of one security (e.g. if IBM is held in only one investment account, the report will include 2 lines for IBM, as a single security and as an aggregate). Uncheck to suppress printing of single-security composites.
Cost Basis Reporting Options: Determines whether security basis always defaults to average cost, or uses lot matching (on accounts where the user has enabled it). Please note that Moneydance currently only offers lot matching on long positions.
Hide Positions with Zero value: Controls whether closed positions are shown in report output.
Use Ordinary Return Calculation: Check to use Ordinary (i.e. non-time-weighted) total returns. Otherwise, use Modified-Dietz Returns (see below for detail).
Display Number Of Frozen Columns: The report output consists of a table with fixed (i.e. non-scrollable) columns on the left side. Choose how many columns are fixed.
Download Location: Sets the download location for the Transaction Activity and Security Prices downloads. Note: if report generation generates any errors, the log file will also be in the download location.
Date Range: A Date Range consists of either
a Rule Input (i.e. sets a reference date and a date rule [e.g."quarter-to-date"]) or
Direct Input: A set of fixed dates
(from/to dates in the
case of the 'From/To' Report, snapshot case in the case of the Snapshot
Report.
Note that the Date Range panel tests whether it has a valid date range,
and indicates to that effect in the panel border (red/invalid, green
valid).
Reports to Run: Selects which reports to run (note, at least one report is automatically selected, and only one report type may be run at a time).
'From-To' Reports describe investment performance over a prescribed period of time.
Snapshot Reports describe investment performance on a specific date
Export Transaction/Price Data
Transaction Activity and Securities Prices are downloaded reports which contain all investment and pricing activity, respectively.
Custom Reports : Manage the saving and removing of custom reports here.
Generate Report
Run Reports runs selected reports as outlined in (6).
Show Help File displays this file.
The text panel displays report status, and error messages if any.
Field Chooser Tab: allows the user to choose which of the available fields (i.e. columns) will be shown in report output, and the order of viewed fields. The default configuration is that all fields are displayed in standard order.
Account Chooser Tab: allows the user to choose which of the accounts will be included in reports and downloads. The default is, all accounts included.
Allows the user to designate specific income or expense categories which apply to investments. If a category (e.g. a check written to "Tuition Expense") is not designated, then the income or expense item will be treated as a transfer for the proposes of calculated investment performance.
Definitions:
Each report line item represents either a Security or a Composite. A Security represents a unique accounting unit in Moneydance. For example, if IBM is held in two different investment accounts, then each holding represents a unique Security. A composite is a grouping of securities based on common characteristics. For example, the user can choose to aggregate By Ticker, and that option will form composites of all securities with a common ticker (i.e. CurrencyType in the language of the Moneydance API). For the example just cited, the Composite will consist of both IBM holdings, presumably held in different investment accounts.
Color Coding/Hide Closed Positions:
Both From/To Report and Portfolio snapshot report use color coding to represent Composite. Light Gray represents secondary Composites, Dark Gray represents primary Composites, and Green represents All Securities. Secondary Composites combine to produce Primary Composites, and Primary Composites combine to produce the ALL Securities line. Double-clicking a security in any report allows the user to edit security properties.
"From/To" Report (FromDate, ToDate)
InvAcct: Investment Account: The investment account in which securities and cash are held.
Security: Either a designated security, or one of 3 aggregated values:
Securities-ALL represents aggregated securities
Securities/CASH-ALL represents aggregated securities plus uninvested cash
CASH represents uninvested cash
SecType: User defined Security Type as recorded in Moneydance. Please Note: Security Type and SubType are managed in Moneydance at the account level: thus it is entirely possible to characterize the same traded security differently in two accounts. For example, IBM can be listed as a "Bond", "Municipal" in one account and a "Stock", "Large-Cap" in another. This report is not designed to check for such potential discrepancies.
SecSubType: User defined Security Sub Type as recorded in Moneydance (see note above).
Ticker: Ticker symbol for security, "No Ticker" if security has no ticker.
StartPos: Position in security on the "From" Date
EndPos: Position in security on the "To" Date
StartPrice: Price in security on the "From" Date
End Price: Price in security on the "To" Date
StartValue: StartPos * StartValue
EndValue: EndPos * EndValue
buy: aggregate purchases between "From" and "To" dates(includes commission)
sell: aggregate sales between "From" and "To" dates(includes commission)
shortSell: aggregate short sales between "From" and "To" dates (includes commission)
coverShort: aggregate short cover transactions between "From" and "To" dates (includes commission)
income: aggregate income between "From" and "To" dates
expense: aggregate expense between "From" and "To" dates, excluding commission
longBasis: cost basis of securities with long positions on "To" date
shortBasis: cost basis of securities with short positions on "To" date
realizedGain: realized gain (against cost basis) of securities between "From" and "To" dates
unrealizedGain: unrealized gain (against cost basis) of securities between "From" and "To" dates
periodReturn: sum of realizedGain and unrealizedGain
TotPctReturn: Total Return between "From" and "To" date (if a position is not open as of the 'From' date, a blank is shown)
AnnPctReturn: Annualized Percent Return between "From" and "To" date(if a position is not open as of the 'From' date, a blank is shown).
Stub-TotPctReturn: Total Return between "From" and "To" date, for positions which are opened after the 'From' date.
Stub-AnnPctReturn: Annualized Percent Return between "From" and "To" date for positions which are opened after the 'From' date.
Portfolio Snapshot Report: (SnapDate)
First 5 Columns: See From/To Report above.
LastPrice: The price of the security on the Report Date.
End Pos: Position in security on the Report Date
AbsPrcChg: Absolute Price Change: difference in between LastPrice and the price on the business day prior to the Report Date.
AbsValChg: Absolute Value Change: AbsPrcChg * EndPos
PctPrcChg: Percentage Price Change: percent difference in between LastPrice and the price on the business day prior to the Report Date.
TR1Day: Total Return between report date and the previous business day (Note, for all returns, if positions are not open as of the beginning of the applicable window, a blank is returned).
TR1Wk: Total Return between report date and one week prior.
TR1Mth: Total Return between report date and one month prior.
TR3Mth: Total Return between report date and three months prior.
TRYTD: Total Return between report date and the end of the previous year.
TR1Year: Total Return between report date and one year prior.
TR3Year: Total Return between report date and 3 years prior.
TR_All: Total Return since inception of security/investment account.
AnnRet_All: Annualized Return since inception of security/investment account.
Long Basis: cost basis of securities with long positions as of the snapshot date.
Short Basis: cost basis of securities with short positions as of the snapshot date.
Income: Income associated with security/investment account since inception.
Ann. Div: Annualized Dividend--Dividend quantity from the security/composite, expressed as an annualized calculation.
Div Yield: Annualized Dividend divided by total long value.
Yield On Basis: Annualized Dividend divided by long basis.
Rlzd Gain: cumulative realized gain (against cost basis) of securities as of the snapshot date
Unlzd Gain: cumulative unrealized gain (against cost basis) of securities as of the snapshot date
TotGain: Realized + Unrealized Gain for a security/investment account since inception.
Transaction Activity Report:
Parent Account: Investment Account
Security: Security or Investment Account associated with transaction
Ticker: Security Ticker (note: if security has no ticker a unique identifier is assigned during report intialization).
DivFreqency: Estimated Dividend Frequency (e.g. "ANNUAL", "QUARTERLY", "BIANNUAL", "MONTHLY", "UNKNOWN")
TxnNum: Transaction Number (Parent Transaction) assigned by Moneydance
Date: Date of transaction
TxnType: Type of Parent
Transaction, in accordance with
the following table:
| Report Output | Moneydance Enum Name | Integer Value |
| "Bank" | TXN_TYPE_BANK | 4 |
| "Buy" | TXN_TYPE_BUY | 0 |
| "BuyTransfer" | TXN_TYPE_BUY_XFER | 2 |
| "ConverShort" | TXN_TYPE_COVER | 7 |
| "Dividend" | TXN_TYPE_DIVIDEND | 5 |
| "DivReinvest" | TXN_TYPE_DIVIDEND_REINVEST | 11 |
| "DivTransfer" | TXN_TYPE_DIVIDENDXFR | 8 |
| "MiscExpense" | TXN_TYPE_MISCEXP | 10 |
| "MiscIncome" | TXN_TYPE_MISCINC | 9 |
| "Sell" | TXN_TYPE_SELL | 1 |
| "SellTransfer" | TXN_TYPE_SELL_XFER | 3 |
| "ShortSell" | TXN_TYPE_SHORT | 6 |
Desc: Description field of transaction (Parent Transaction)
Buy: Dollar amount of security purchased
Sell: Dollar amount of security sold
Short: Dollar amount of security sold short
Cover: Dollar amount of security short-covered
Dollar amount of commission associated with buy/sell/short/cover
Income: Dollar amount of income
Expense: Dollar amount of expense
Transfer: Dollar amount of transfer (positive indicates transfer-in)
cashEffect: sum of Buy/Sell/Short/Cover/Commission/Income/Expense/Transfer
secQuantity: security quantity associated with transaction
MktPrice: Market Price of security on transaction date
Position: Total Split-Adjusted position in security after accounting for transaction.
Long Basis: Cost basis of security with long position (includes commission)
Short Basis: Cost basis of security with short position (includes commission)
Open Value: Mark-to-Market value of security (market price * position)
CumUnrealGain: Open Value compared to long/short basis:
PerUnrealGain: Unrealized gain from previous transaction to current transaction
PerRealGain: Realized gain from Sell/Short Cover transaction against long/short basis.
PerInc/Exp: Sum of transaction income/expense
PerTotalGain: period unrealized gain + period realized gain
CumTotalGain: sum of all PerTotalGain to date.
Securities Prices Report
id: Currency ID assigned by Moneydance
Name: Currency Name
Ticker: Currency Ticker or NoTicker
Date: Snapshot Date:
PricebyDate: Closing price on SnapshotDate
PriceByDate(Adjust): Split Adjusted price as referenced by the current date
Total Return:
Total Return is calculated as shown below. Please note the following
Ending Market Value (EMV) is calculated as the end position * end price, plus all income and expenses associated with the security (securities) during the report period.
Start Date is the later of (a) report start date (b) the date on which the first buy or short sale occurs. End Date is the earlier of (a) report end date and (b) the date on which a security position is closed. Therefore, changing report start and end dates has no effect on the returns calculation for a position which is closed at start or end date, respectively.
The formula for the Modified Dietz method is as follows:
RMDietz = (EMV-BMV-CF)/[BMV + SUMPRODUCT(Wi*CFi)]
where:
EMV = ending market value
BMV = beginning market value
CF = the net cash flow for the period (contributions to a portfolio are
entered as positive cash flows while withdrawals are entered as
negative cash flows).
SUMPRODUCT(Wi*CFi)] = the
sum of each cash flow, CFi, multiplied by its weight, Wi.
The weight (Wi) is the proportion of the total number of days in the
period that the cash flow CFi is in (or out) of the portfolio.
Wi can be calculated as: Wi = (CD - Di)
/ CD
where:
CD = the number of calendar days during the return period being
calculated
Di = The day in the return period on which the cash flow (CFi) occurred
For ordinary returns, the calculation is simply: ROrdinary = (EMV-BMV-CF)/[BMV + CF]
Annualized Percent Return:
APR is calculated using the net cash effect (less transfer) or each transaction associated with a security (securities), plus the start value and end value associated with the Start and End date as noted below.
Start Date is the later of (a) report start date (b) the date on which the first buy or short sale occurs. End Date is the earlier of (a) report end date and (b) the date on which a security position is closed. Therefore, changing report start and end dates has no effect on the returns calculation for a position which is closed at start or end date, respectively.
This calculation method can be replicated by the XIRR function of Microsoft Excel.
Transaction Entry:
Any expense associated with a buy/sell/short cover/cover short transaction is considered to be a commission.
All designated income and expense associated with an investment account is considered as income (or expense) associated with Cash (see above for details).
All Transfer (i.e. "BuyTransfer" and "SellTransfer") transactions in the table above are considered to be transfers of cash to non-investment accounts. If the user wants to transfer cash between two invesment accounts, then enter two transactions: a "buy" and "transfer" or "sell" and "transfer"to effect the desired result.
Dividend Frequency/ Dividend Calculations:
Dividend Frequency (which affects annualized dividend, dividend yield calculations) is estimated through a heuristic. Multiple dividends which occur within 21 days of each other (such cases as separate dividend/capital gains transactions, or dividend corrections) are ignored. The heuristic currently assigns one frequency to each security, based on the time between dividends of the last two dividend instances. If only one dividend is found, the dividend frequency is assumed to be annual.
Annualized Dividend: The report first calculates the total of the most current dividend (which might consist of multiple transactions within an assumed 21 day window, as noted previously). Next an annualized Dividend/Share value is calculated, using the position prior to the most recent set of dividend transactions (this covers the case of mutual fund dividend/reinvest transactions, where buys are recorded coincident with dividends). Finally, the Dividend/Share value is multiplied by the current position, in order to get the final value for Annualized Dividend.
Editing Security Information: Double-clicking a security row will bring up a dialogue box allowing the user to edit security properties (e.g. Security Type, Secruity Sub Type).
Returns backup: Doubleclicking a return cell will bring up a text box containing the information which backs up the return calculation, allowing the user to replicate the return calculation in a spreadsheet if desired.
The Main class registers the extension and passes Moneydance data to other classes.
The ReportControlFrame class receives the output of Main, creates a frame to hold the report controller GUI.
The ReportControlPanel class controls report output: the user selects report parameters, executes reports via the Run Reports button.
The BulkSecInfo class contains mapping of investment accounts to security accounts, security accounts to transactions, and contains AccountWrapper classes which hold transaction-level and security-level data. BulkSecInfo also produces the Securities Prices Report and Transaction Activity Report from these transaction and pricing data.
TransactionValues returns one line of data for each parent
transaction with buy, sell, short sell, cover short, commission,
transfer, and security quantity data.
TransactionValues also create synthetic cash account to record movement
of uninvested cash for each Investment Account. The initial account
balance is recorded as a purchase of cash, and new TransactionValues
objects are created for each related Security Transaction or Investment
Account transaction. For example, a purchase of a security and the
payment of the related commission creates a sale of the appropriate
amount of cash (potentially a short-sale if the account does not
contain enough cash). All synthetically created TransactionValues
object have a transaction id of x.1, where x is the transaction number
of the primary transaction which created the cash transaction. For
example if a security purchase has id 121, then the corresponding cash
sale has id 121.1.
TransactionValues includes a GainsCalc object (current concrete
implementations GainsAverageCalc and GainsLotMatchCalc), which
calculates long and short basis for a security.
All Extractor classes serve to extract value from a series of security transactions.
The TotalReport Class is an abstract class holding HashSets of SecurityReport and CompositeReport objects. Its concrete implementations are the TotalFromToReport and TotalSnapShotReport.
ComponentReport is an abstract class which is a superclass to both SecurityReport and CompositeReport.
SecurityReport Class is an abstract class representing one report line of either the From/To or Snapshort report. Therefore, its concrete implementations are SecurityFromToReport and SecuritySnapshotReport. Note that a SecurityReport can either represent a report line for a leaf-level security or the aggregation line for a CompositeReport (described below).
CompositeReport class performs aggregation of one or more leaf-level (i.e. unique security in unique investment account) security reports. It holds one placeholder SecurityReport (used to store aggregate data) and contains references to all leaf-level SecurityReports aggregated by the CompositeReport.
Aggregator is an interface for the classes which are used to aggregate leaf-level security Reports. To accomplish this, Moneydance classes are wrapped in classes which implement Aggregator. The wrapped classes are InvestmentAccountWrapper, CurrencyWrapper, SecurityAccountWrapper, Tradeable, SecurityTypeWrapper, and SecuritySubTypeWrapper. In this case Tradeable is defined by a single Boolean member false for the CurrencyType used to define uninvested cash, true for all other securities.
The DateUtils and IOUtils classes provide useful methods for date math and input/output, respectively.
The DateRange and DateRangePanel classes serve to control the DateRange object wihich governs the time frame of report output.
The GoalSeek, GoalSeekData, GoalSeekFunction, XIRR, XIRRData, and XIRRNPV classes are all used for calculation of Annualized Percent Return. More info can be found at http://gautam.satpathy.org/software/java/jxirr.
The ReportSaveControlFrame, ReportSaveControlPanel, controls the process of saving a report to a specific name.
All classes named similarly to "ReportConfig" (e.g. ReportConfig, ReportConfigChooserPanelBase, etc) are control mechanisms for a unique report configuration. The complete list of elements for a report configuration are in the ReportConfig class.
The SecurityAccountEditorForm controls the editing of security properties. Double-clicking on the report display generates this form to edit security properties.
ReportOutputTable class implements and enhanced JTable for use in report display. The display implements methods so that the columns are sized based on cell data length, the user can fix columns for ease of scrolling, closed positions can be either displayed or hidden, and the user may implement a hierarchical sort of data (3 columns or less).
The Prefs class holds report preferences.
The project supports JUnit testing. Test classes are under the test folder. In general, all tests are 'regression test' that is, they run report functions and test against stored values to ensure consistency.
BulkSecInfoTest checks for consistency of transaction data from the test database testMD02.md and stored data in csv format. Both the average cost and lot-matching cost accounting methods are supported.
The ReportProdTest class contains 3 tests: testGetFromToReport() and testGetSnapReport() generate From/To and Snap reports, respectively, from the MD test database testMD01.md included in the resources folder. The generated reports are then compared to saved versions (in csv files) also contained in the resources folder. Finally, the testRepSnapAgainstFT generates a Snap Report and compares the columns in that report to series of generated From/To reports. This ensures that the Snap Report and FT Reports are producing the same data. The class also contains tests which check for consistency between aggregated returns and leaf-level security reports for different aggregation methods.
The CheckRepFromTo and CheckRepSnap classes, also in the test folder, are not actually JUnit tests. Instead, they output, in tabbed-text form, and exploded view of the From/To and Snap reports, respectively. This allows report output to be checked against intermediate calculations. An example of how to do that is found in the spreadsheet ReportCheckExample.xlsm&, also found in the resources directory. That spreadsheet also breaks down some sample transactions in order to show Mark-to-Market T-account entries.


A node is a bucket structure with two components (or three in a doubly linked list). The data being stored, a pointer to the next node, and possibly a pointer to the previous node.
We could imagine it like this:
| | | |
| Previous | DATA | Next |
|__________|__________|__________|
The benefit of nodes is that it allows us to dynamically utilize memory.
A doubly linked list has pointers to both the next and previous node (hence, doubly linked).
In our project repo there is a doubly linked list file (copied into this file). It has this code setting up listNode instances:
"""Each ListNode holds a reference to its previous node
as well as its next node in the List."""
class ListNode:
def __init__(self, value, prev=None, next=None):
self.value = value
self.prev = prev
self.next = next
"""Wrap the given value in a ListNode and insert it
after this node. Note that this node could already
have a next node it is pointing to."""
def insert_after(self, value):
current_next = self.next
self.next = ListNode(value, self, current_next)
if current_next:
current_next.prev = self.next
"""Wrap the given value in a ListNode and insert it
before this node. Note that this node could already
have a previous node it is pointing to."""
def insert_before(self, value):
current_prev = self.prev
self.prev = ListNode(value, current_prev, self)
if current_prev:
current_prev.next = self.prev
"""Rearranges this ListNode's previous and next pointers
accordingly, effectively deleting this ListNode."""
def delete(self):
if self.prev:
self.prev.next = self.next
if self.next:
self.next.prev = self.prev
It sets up nodes that keep track of the next and previous nodes, and also provides an insert_after
, insert_before
, and delete
function.
To make it a little easier to see what’s happening under the hood when we call a listNode, we can add this repr
method to show the value, previous and next references.
def __repr__(self):
return "Value: {}, ".format(self.value if self.value else None) + "Prev: {}, ".format(self.prev.value if self.prev else None) + "Next: {} \n".format(self.next.value if self.next else None)
If we run:
print(ListNode(5))
We’ll receive in the terminal:
Value: 5, Prev: None, Next: None
This shows that an initialized ListNode without a specified previous or next reference will point to None
.
Let’s start building methods on our base code:
"""Our doubly-linked list class. It holds references to
the list's head and tail nodes."""
class DoublyLinkedList:
def __init__(self, node=None):
self.head = node
self.tail = node
self.length = 1 if node is not None else 0
def __repr__(self):
return f"Head: {self.head} \n Tail: {self.tail} \n Length: {self.length}"
def __len__(self):
return self.length
We should define an add_to_head
method:
"""Replaces the head of the list with a new value that is passed in."""
def add_to_head(self, value):
We know that we need to create a new node and increase the length of the list:
"""Replaces the head of the list with a new value that is passed in."""
def add_to_head(self, value):
new_node = ListNode(value, prev=None, next=None)
self.length += 1
# if there is no head or tail, it needs to become both:
if not self.head and not self.tail:
self.head = new_node
self.tail = new_node
# otherwise it only needs to become the head:
else:
self.head.prev = new_node
new_node.next = self.head
self.head = new_node
Another solution is that we could also check using length:
if self.length == 0:
self.head = ListNode(value, None, None)
self.tail = self.head
self.length = 1
else:
self.head.prev = ListNode(value, None, self.head)
self.head = self.head.prev
self.length += 1
Let’s work on the remove
function next. This should return the removed node:
"""Replaces the tail of the list with a new value that is passed in."""
def remove_from_head(self):
# if there is no head, just return None because we can't remove
if not self.head:
return None
# reduce the length
self.length -= 1
Now we could check the length of the list but maintaining consistency is ideal. Since we compared the head and tail previously, we should continue using that method. If we went with the length comparison method, we would decrement after and continue to use that comparison instead.
So, if the head and tail match, we know that there is only one node:
# we need to store the current head to return it once removed
current_head = self.head
# if there is solely one node, we set both head and tail to None
if self.head == self.tail:
self.head = None
self.tail = None
return current_head.value
We need to finish by handling the last case, which is if there are other nodes in the list. We’ll set the next node as the head and remove the pointer to the previous.
# changes the head to the next node
else:
self.head = self.head.next
# Removes pointers to any previous node
self.head.prev = None
return current_head.value
To add to the tail, we’ll write a method almost identical to the add to head method:
"""Removes the head node and returns the value stored in it."""
def add_to_tail(self, value):
new_node = ListNode(value)
self.length += 1
# if there is no head or tail, it needs to become both:
if not self.head and not self.tail:
self.head = new_node
self.tail = new_node
# otherwise it only needs to become the tail:
else:
self.tail.next = new_node
new_node.prev = self.tail
self.tail = new_node
We should test these methods after writing them. We could use the unit tests in the test file. Or we could write our own within our current file to see if it returns the expected.
ll = DoublyLinkedList()
print(f"ll: {ll}") # should be empty
ll.add_to_head(2) # should be 2
ll.add_to_head(5) # should be 5,2
ll.add_to_head(7) # should be 7,5,2
ll.remove_from_head() # should be 5,2
ll.add_to_tail(9) # should be 5,2,9
print(f"ll: {ll}")
This should return the final print statement as:
ll: Head: Value: 5, Prev: None, Next: 2
Tail: Value: 9, Prev: 2, Next: None
Length: 3
Now let’s write our remove_from_tail
. Again, it’s very similar to the remove_from_head
method with a few syntax adjustments and changing references to next node (which should be None at the tail).
def remove_from_tail(self):
# if there is no tail, just return None because we can't remove
if not self.tail:
return None
# reduce the length
self.length -= 1
# we need to store the current tail to return it once removed
current_tail = self.tail
# if there is solely one node, we set both head and tail to None
if self.head == self.tail:
self.head = None
self.tail = None
return current_tail.value
# changes the tail to the next node
else:
self.tail = self.tail.prev
# Removes pointers to any next node
self.tail.next = None
return current_tail.value
Let’s write this next set of methods.
"""Takes a reference to a node in the list and moves it to the front of the list, shifting all other list nodes down."""
def move_to_front(self, node):
pass
"""Takes a reference to a node in the list and moves it to the end of the list, shifting all other list nodes up."""
def move_to_end(self, node):
pass
Off the bat, one thing we might want to do is change the name of these functions to more clearly indicate what these functions do – like move_to_head
or move_to_tail
. We’ll also need to adjust those names in our test files to avoid errors.
Since we’re passed in a node, we don’t need to create a node because it already exists.
def move_to_head(self, node):
# if the passed node is already the head, we just return it
if node is self.head:
return node
# if the passed node is the tail, we need to remove it from the tail
if node is self.tail:
self.remove_from_tail()
else:
node.delete()
self.length -=1
# we should add it but only the value of the passed node
self.add_to_head(node.value)
We want to make sure that we use is
instead of ==
when comparing the node to the head or tail because we are not just comparing the values but checking if they are truly the same values (with the same reference to space in memory).
Why are we reducing the length when we’re only moving around a node, not removing it?
The add methods we’re calling will automatically adjust the length to add the value, so we need to decrement it first. We are technically deleting the node and then adding it again.
We could alternately just change the pointer references, rather than deleting and adding the node. It would be more memory efficient – but we evaluate this based on the situation. By reusing already written code, we’re also being efficient, and unless we need the improved space complexity at scale, it’s not necessary to write longer functions to do this process.
A best practice would be to leave a comment in the function about how we could optimize this in the future, so that it would be easy to identify how to improve the space complexity IF it matters.
Let’s do the same with move_to_tail
:
"""Takes a reference to a node in the list and moves it to the end of the list, shifting all other list nodes up."""
def move_to_tail(self, node):
if node is self.tail:
return node
if node is self.head:
self.remove_from_head()
else:
node.delete()
self.length -=1
self.add_to_tail(node.value)
Why do we need to write another delete function when we already have one?
This allows us to handle the edge cases of if it’s the head or tail node.
We could handle if there’s only one node in the list like so:
if self.head is self.tail:
self.head = None
self.tail = None
But we also already wrote that edge case into our remove_from_head
function so instead, let’s let it be handled that way:
"""Takes a reference to a node in the list and removes it from the list. The deleted node's `previous` and `next` pointers should point to each afterwards."""
def delete(self, node):
if self.head is self.tail:
self.remove_from_head()
elif node is self.head:
self.remove_from_head()
elif node is self.tail:
self.remove_from_tail()
else:
node.delete()
return node.value
We don’t need to manually decrement the length because all of our previously written functions handle that for us.
We know off the bat that when we try to get the maximum value from a linked list, but the list has no items, then that edge case is simple to handle – we’ll return None.
Next we’ll iterate through the values of the linked list, starting at the head, to compare to the current maximum value found. Once we read the end of the list, we’ll have checked each value and found the maximum.
def get_max(self):
# if there is no head, we know the list is empty
if not self.head:
return None
# we'll set our starting max value as the first value we'll begin looping through in the list, the head
max_value = self.head.value
# we'll set a current value to check against
current = self.head
while current:
if current.value > max_value:
max_value = current.value
# increment current
current = current.next
# once all values are checked, return max value
return max_value


Post edited 1 x times, last by
BrainFooLong
Administrator
Topicstarter
BrainFooLong
Administrator
Hi all!
Mabye some of you already noticed it.
We currently have some server problems, results in website lags and broken requests.
We working on it.
Topicstarter
BrainFooLong
Administrator
Server issues should be mostly solved now.


RT @mwrc: ZOMG Good Morning! MWRC is live streaming in one hour!
http://mtnwestrubyconf.org/
(Please RT)
4/3/2013, 8:13:57 AM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @mwrc: ZOMG Good Morning! MWRC is live streaming in one hour!
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(Please RT)
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link


{% block styles %}{% endblock %}
Multi-annotator
Annotation Tasks
(current)
Corpus Analisis
Test Models
Settings
User management
Logged as
{{ current_user.username }}
Logout
{% block content %}{% endblock %}
{% block scripts %}{% endblock %}


BuildStream is a free software project hosted by the
gnome foundation↗
so it inherits its governance model and
code of conduct↗
BuildStream code and technical documentation is licensed under the
lgpl2.1 license↗
The website contents are licensed under
cc-by-sa 4.0↗
The project logo is the
blue waterwheel↗
created specially for BuildStream.


Money Play. Should Red redouble? If redoubled, should White take?
pips Red=97 White=79
(CorrectAnswer= 0/0, ErrorScore= 0)
Is Red's outer board sufficient compensation for the 18-pip racing deficit?
Yes, it is, and it would be a bad error not to double this position.
On his side White's home board is a strong as Red's although he does have one dead checker. There are few gammons on either side. White escapes and/or hits often enough to give him a comfortable take.
Yes, it is, and it would be a bad error not to double this position.
On his side White's home board is a strong as Red's although he does have one dead checker. There are few gammons on either side. White escapes and/or hits often enough to give him a comfortable take.
Cube analysis 2-ply cubeless equity +0.458 0.719 0.061 0.002 - 0.281 0.042 0.001 Cubeful equities: 1. Double, take +0.725 2. Double, pass +1.000 (+0.275) 3. No double +0.721 (-0.004) Proper cube action: Redouble, take


Segmentation Brush Example
This page contains an example of the segmentation paintbrush tool
Go back to the Examples page
Controls:
Left click paint
Middle Mouse button drag - pan
Right click drag - zoom
Erase
Radius:
3
px


A color picker of all the Material Design colours
The palette used by the color picker can be configured
The picker can be styled using custom properties


Tabletop Sabermetrics
Session Stats: Running totals
Player Name
Skill Checks
Attack Rolls
Other Rolls
DM/GM
Current crit leader
Crit!
Crit fail!
Crit!
Crit fail!
Crit!
Crit fail!
Player Foo
Crit!
Crit fail!
Crit!
Crit fail!
Crit!
Crit fail!
Done with session
View current roll stats
×
Are you sure you want to end the session?
After clicking "End session," you'll be returned to the campaign list page. The current session's roll stats have been saved automatically as you've recorded rolls.
You can view the stats anytime from the campaign list page.
×
Current roll stats for this session
Player Name
Skill Checks
Attack Rolls
Other Rolls
Totals
DM/GM
Current crit leader
99 crits
99 crit fails
99 crits
99 crit fails
99 crits
99 crit fails
99 crits
99 crit fails
Player Foo
99 crits
99 crit fails
99 crits
99 crit fails
99 crits
99 crit fails
99 crits
99 crit fails


| Type extension | Description |
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Full Usage:
dsharp.convTranspose2d (b, ?stride, ?padding, ?dilation, ?outputPadding, ?strides, ?paddings, ?dilations, ?outputPaddings)
Parameters:
Tensor
?stride : int
?padding : int
?dilation : int
?outputPadding : int
?strides : seq<int>
?paddings : seq<int>
?dilations : seq<int>
?outputPaddings : seq<int>
Returns: Tensor -> Tensor
|
Extended Type:
|
Full Usage:
dsharp.convTranspose3d (b, ?stride, ?padding, ?dilation, ?outputPadding, ?strides, ?paddings, ?dilations, ?outputPaddings)
Parameters:
Tensor
?stride : int
?padding : int
?dilation : int
?outputPadding : int
?strides : seq<int>
?paddings : seq<int>
?dilations : seq<int>
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dsharp.maxunpool2d (indices, ?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings, ?outputSize)
Parameters:
Tensor
?kernelSize : int
?stride : int
?padding : int
?kernelSizes : seq<int>
?strides : seq<int>
?paddings : seq<int>
?outputSize : seq<int>
Returns: Tensor -> Tensor
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Full Usage:
dsharp.maxunpool3d (indices, ?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings, ?outputSize)
Parameters:
Tensor
?kernelSize : int
?stride : int
?padding : int
?kernelSizes : seq<int>
?strides : seq<int>
?paddings : seq<int>
?outputSize : seq<int>
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Full Usage:
dsharp.multinomial (numSamples, ?device, ?dtype, ?backend)
Parameters:
int
-
Number of samples to draw
?device : Device
-
The desired device of returned tensor. Default: if None, uses Device.Default.
?dtype : Dtype
-
The desired element type of returned tensor. Default: if None, uses Dtype.Default.
?backend : Backend
-
The desired backend of returned tensor. Default: if None, uses Backend.Default.
Returns: Tensor -> Tensor
|
TBDReturns a tensor where each row contains numSamples indices sampled from the multinomial probability distribution located in the corresponding row of tensor input. Indices are ordered from left to right according to when each was sampled (first samples are placed in first column). If input is a vector, out is a vector of size num_samples. If input is a matrix with m rows, the result is an matrix of shape (m × numSamples)
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dsharp.toImageString (?pixelMin, ?pixelMax, ?normalize, ?gridCols, ?asciiPalette)
Parameters:
double
?pixelMax : double
?normalize : bool
?gridCols : int
?asciiPalette : string
Returns: Tensor -> string
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© Copyright 2021, DiffSharp Contributors.


Verification failed. You may try the verification process again. You may try again {{ locals.retryTime }}.


vignettes/flexdashboards.Rmd
flexdashboards.Rmd
Crunch allows you to host Shiny apps on the Crunch Jupyter server. Shiny apps are great, but they can be difficult to program, and can be very slow if not designed properly. Flexdashboards provide an easy-to-use alternative to Shiny apps. Instead of re-rendering dynamically based on the user action, Flexdashboards are effectively static websites that only include data which is live at the time of rendering. This can be desirable both because they are much easier to write, and because you can test and validate the dashboard’s behavior before it goes to the client. Additionally, since you have more control over when the dashboard is rendered, you can include more computationally expensive operations like fitting a machine learning model without affecting user experience.
You can host Flexdashboards on Crunch’s Shiny infrastructure using Shiny’s includeHTML()
function. This function adds an HTML file to the Shiny UI. If all you include in the Shiny UI is the Flexdashboard html file, then the Shiny app effectively becomes a static site.
Follow these steps to include a Flexdashboard in your Shiny app:
includeHTML(<filename>)
to the ui
object. Your app.R
file might look something like this:library(crunchy)
ui <- fluidPage(
includeHTML("dashboard")
)
server <- function(input, output, session) {}
# Run the application
shinyApp(ui = ui, server = server)
Note that we haven’t included any authentication in this app which means that users who do not have access to a dataset could theoretically access it. The next step is to check that the user is logged into Crunch.
Crunchy includes a shinyUser()
function, which lets us display different content to the user, including verifying whether they are logged into Crunch of not. To do this, we’ll also make use of Shiny’s renderUI
function to conditionally create a different UI.
This creates the UI object, but most of the work is going to be done on the server side. We can use the shinyUser()
function to get a user record for the current viewer of the app. This record includes some useful pieces of information, including the user’s name, their email address, and their Crunch preferences. If the user isn’t logged into Crunch, they will see a red error message, and they won’t see the dashboard.
By checking the value of the shinyUser
before calling includeHTML()
, we can prevent unauthorized users from seeing the rendered dashboard:
We can take this pattern one step further to show different users different dashboards. We use the same UI object, but check the user’s email and change the displayed HTML file based on that email.
server <- function(input, output, session) {
user <- shinyUser()
output$dashboard <- renderUI({
current_user <- email(user())
if (grepl("acme.com$", current_user)) {
includeHTML("acme_dashboard.html")
} else if (grepl("globex.com$", current_user)) {
includeHTML("globex_dashboard.html")
} else {
h1("You do not have access to this dashboard, please contact your dataset administrator.")
}
})
}
What this does is check the user’s email address to identify clients from one company, and then displays a rendered dashboard for that company. An example app of this kind is here, to run it, copy the app folder, open app.R
and run it with shiny::runApp("app.R")
, or by clicking the “Run App” button in RStudio.
The above code assumes that you are going to be re-rendering your Rmd files manually, and uploading the results to the Crunch Shiny server. You can also re-render the Rmd files dynamically as part of the Shiny app by calling rmarkdown::render()
somewhere in your server function. For example the following app re-renders the dashboard whenever the user clicks an action button. Note that for this to work smoothly you should use the reactivePoll to ensure that the UI is refreshed after the file is regenerated. If you don’t use reactivePoll()
, you might end up in a situation where the UI refreshes before the RMarkdown file is finished rendering.
library(crunchy)
ui <- fluidPage(
actionButton('refresh', 'Refresh Dashboard'),
textOutput("last_render"),
uiOutput("dashboard")
)
server <- function (input, output, session) {
file <- reactivePoll(1000, session,
checkFunc = function () {
file.info("acme_dashboard.html")$ctime
},
valueFunc = function () {
list(
path = "acme_dashboard.html",
time = Sys.time()
)
}
)
user <- shinyUser()
observeEvent(input$refresh, rmarkdown::render("acme_dashboard.Rmd"))
output$last_render <- renderText(paste("Last Render:", file()$time))
output$dashboard <- renderUI({
user()
includeHTML(file()$path)
})
}
shinyApp(ui = ui, server = server)
A full example can be found on Github.
Flexdashboards provide a simple way to communicate with your users. By using the Crunch Shiny infrastructure you can host and distribute static dashboards in the same way as Shiny apps. This allows you to customize the behavior Crunch Dashboards without needing to worry about some of the complexity which comes along with Shiny apps.


https://github.com/david-singh/Trailer-Website
https://github.com/david-singh/Portfolio
https://github.com/david-singh


{%- include head.html photoswipe="true" -%}
Established in 1964, Heaton Sanitation Ltd. has been serving Windsor, Essex County and Chatham-Kent for well over 55 years in the field of septic and liquid waste removal.
Established in 1964, Heaton Sanitation Ltd. has been serving Windsor, Essex County and Chatham-Kent for well over 55 years in the field of septic and liquid waste removal. As part of The Hurricane Group of companies, the Heaton name continues to be regarded as one of the leading sanitation, septic and waste removal service providers in the area.
With a fleet of top of the line equipment and over 55 years of industry experience behind us, its safe to say that we're experts in the sanitation business. Our services include grease trap, septic and holding tank cleaning as well as septic tank inspections. We're also Ministry of Environment approved to safely remove and transfer a wide variety of liquid waste materials to approved off-site locations.
Whether its regularly scheduled services or an emergency, our team is ready 24 hours a day, 7 days a week. For every situation, client, or project, we deliver exceptional service backed by our expert team, at competitive prices in a clean, safe, and efficient manner. That lends itself to part of the reason that Heaton Sanitation has and continues to be a trusted name in Windsor, Essex County and Chatham-Kent for over 55 years.
Heaton Sanitation Ltd. was established in 1964 by Wilfred Heaton. At the time Heaton Sanitation specialized in septic and liquid waste removal. In 1995 Heaton Sanitation Ltd. entered into the hydro excavation business and purchased its first Vactor Flusher unit. In 2015 Hurricane Hydrovac Services acquired Heaton Sanitation. The combined enterprises of Heaton Sanitation, Hurricane Hydrovac, and Hurricane SMS now operate a fleet of over 35 trucks and offer a variety of services including disposal, sewer and catch basin cleaning, video inspection, and hydro excavation services.
Our team at Heaton Sanitation includes members with backgrounds in all facets of construction. Locally based in Windsor/London the team brings forward many years of experience, knowledge and diverse skill sets; which allows our company to provide exceptional services for our clients, delivered in a clean and safe fashion.
Don became the President of Heaton Sanitation Ltd. when his father Wilfred Heaton retired. Don continued to grow the business through the acquisition of hydrovacs and combination units and as a result, became one of the biggest locally owned hydrovac companies in Windsor Essex. Don is also well-known for his expertise in septic systems.
Heaton Sanitation is part of The Hurricane Group of Companies. Along with services offered by Heaton Sanitation a variety of complimentary services are also offered through Hurricane Hydrovac and Hurricane SMS.


public final class XMLParserUtils
extends java.lang.Object
A collection of XML parsing utilities.
| Modifier and Type | Method and Description |
|---|---|
static java.lang.Object |
decodeObject(java.lang.String type,
java.lang.String value)
Attempt to decode an object from the given
type and value . |
static org.w3c.dom.Document |
getDocument(java.net.URI uri)
Attempt to create a DOM document from an
URI . |
public static org.w3c.dom.Document getDocument(java.net.URI uri)
Attempt to create a DOM document from an URI
.
uri
- The URI
to load.public static java.lang.Object decodeObject(java.lang.String type, java.lang.String value)
Attempt to decode an object from the given type
and value
.
Valid object types are:
It's worth noting that the expected format of these types can differ.
enum
expects the value to be in a package.class#index
format, where index
is the
enum value index.
vector2
, vector3
, vector4
, quaternion
and color
expect the value to
be separated by comments, for example: x, y, z, w
for vector4
and quaternion
.
asset
s will be passed to Assets.load(String)
, so a path is expected.
type
- The type of the object, this can only be from a set of predefined values.value
- The target value.


Hello Friend. As you read this, I don't want you to feel sorry for me because I believe everyone will die someday. My name is Dasuki Al-Mehmood, a merchant in Dubai U.A.E. I have been diagnosed with esophageal cancer. It has defiled all forms of medical treatment, and right now I have only about a few months to live, according to medical experts. I have not particularly lived my life so well, as I never really cared for anyone (not even myself) but my business. Though I am very rich, I was never generous, I was always hostile to people and only focused on my business as that was the only thing I cared for. But now I regret all this as I now know that there is more to life than just wanting to have or make all the money in the world. I believe when God gives me a second chance to come to this world I would live my life a different way from how I have lived it. Now that God has called me, I have willed and given most of my property and assets to my immediate and extended family members as well as a few close friends.  Now that my health has deteriorated so badly, I cannot do this myself anymore. I once asked members of my family to close one of my accounts and distribute the money which I have there to charity organization in Bulgaria and Pakistan; they refused and kept the money to themselves. Hence, I do not trust them anymore, as they seem not to be contended with what I have left for them. The last of my money which no one knows of is the huge cash deposit of $6M. (Six Million United States Dollars) that I have with a finance/Security Company abroad. I will want you to help me collect this deposit and dispatched it to charity organizations. I have set aside 10 % for you and God be with you. Please All correspondence should be directed to<EMAIL_ADDRESS>Regards, Dasuki Al-mehmood Dasuk-al-mehmo@excite.com


This document explains some of the design considerations you might want to think about when building your robot.
The diagram below shows the electronics schematic for all the components plugged in.
If you do this however, once you move to bluetooth you may run into power issues where the arduino resets on you. This will be particularly noticeable when the battery is running flat. So what can you do?
First, keep your battery charged up. You have a charger to do exactly that so use it. A full LiPo battery gives a nice solid voltage everything can use so charge between tests and battles.
The second option is to use two batteries. One for your controllers and one for your motors. The schematic for this is mostly the same except the VCC and GND lines for your motors and servo connect to the second battery instead.
The maximum size of your bot is 25cm x 25cm x25cm - it has to fit inside that to go in the ring. Too big and you’re disqualified.
There are several design archetypes:
This is a triangular wedge shape with the main aim being to stay low, move fast and get under your opponent and run them out of the ring.
To do this effectively:
Tactics:
The wedge is all about speed and out manoeuvring your oppenent, especially those who are slow or have poor turning capability. Look for areas on the opponent that are raised that will allow you to get underneath. Attack from a weak side and go fast - don’t be afraid to peel off and come back for another run.
This design calls for weight. You’ll move more slowly but with more mass. The aim is to use your superior weight advantage to push the other opponent out of the ring.
To do this effectively:
Tactics:
Slow and steady wins the bout. Stay to the middle until your opponent is nearby then wait for them to try and attack you. Make sure you meet them head on and then use your superior weight to just push them out of the circle. Don’t get caught on the edge.
Hard to pull off effectively, this design is all about winning in style. The aim is to make a section of your bot that can use servos to flip an opponent. Once they are incapable of moving, it’s a simple task to push them out.
 From there, ACTIVATE and turn that other bot over. Once you’ve incapacitated your opponent, just push them out. Your flipper is your key weapon so make sure you’re bringing it to bear on your opponent.
This is possibly the craziest design, but pulled off well and it’s brutally effective.
To do this effectively:
Tactics:
You really only have one objective, close with your opponent and unleash your chopper, smasher, grabber or whirler as fast and as frequently as possible in an attempt to maximise damage. A few stray wires ripped out and your opponent will be dead in the ring. Use that opportunity to just ram them out of it.


This page contains answers to some of the most frequently asked questions about the LDM.
The LDM is a distributed system for event-driven data distribution. It consists of a suite of software to select, capture, process, and distribute data products using a set of network client/server programs and their shared protocols.
The LDM software is being used by hundreds of universities and cooperating agencies and is freely available to anyone who wishes to use it. The software is copyrighted by the University Corporation for Atmospheric Research.
The LDM software is freely available for download from the Unidata Program Center.
In IRIX, version 6.1, there is a file, /etc/config/portmap.options. The -a option in this file disallows any
host trying to do an RPC call to the machine. You must explicitly allow any hosts that will connect to you. See
the man page for portmap
for more information.
On IRIX systems, a disk defragger process runs every Sunday at 4:30 a.m. out of the root account. Because the product queue is a memory-mapped I/O file, it cannot be de-fragmented on disk while it is mapped. If it is, it corrupts the queue.
The solution is to either remove the root cron job that runs /usr/etc/fsr
, or to add a -m switch
pointing to a file that does not include the file system that contains the queue. This will allow other file
systems to be de-fragmented, ignoring the data file system. See the man page for fsr
for more
information.
4/30/96: SGI now has a patch available that seems to fix the fsr
problem: patchSG0000870 -
EFS filesystem roll-up patch for non-XFS systems.
If the LDM server does not exit cleanly, port 388 may remain registered with the portmapper, even if the server
is no longer running. Use rpcinfo
to check this:
% rpcinfo -p
If port 388 is still registered, as root, use rpcinfo to deregister the port:
% rpcinfo -d 300029 version
where version is the version number of the program that is running, which will be 5 and/or 6.


Royal Mail unveils final set of stamps in its Star Wars-themed collection ahead of new movie’s release
by Will HagertyRoyal Mail has revealed images of the final set of stamps in its own Star Wars-themed collection.
The 16-stamp set will mark next month’s release of Star Wars: The Rise Of Skywalker, and features characters and vehicles from the Skywalker saga.
Ten stamps feature the characters Count Dooku, Lando Calrissian, Sith Trooper, Jannah, Grand Moff Tarkin, Darth Maul, Zorii Bliss, Wicket Warrick, Poe Dameron, and Queen Amidala.
Six stamps feature some of the most famous vehicles in the Star Wars galaxy, including a Podracer and Slave I.
Poe’s X-wing fighter, a Jedi starfighter, the TIE silencer, and speeder bikes also make an appearance.
All 10 character stamps are exclusive illustrations by digital artist and Star Wars fan Malcolm Tween.
Philip Parker, of Royal Mail, said: “Once again Malcolm Tween takes us on a journey across the Star Wars galaxy with extraordinary artwork of characters old and new.
“The stamps are miniature masterpieces and a fitting tribute to mark the end of the Skywalker saga.”
The stamps will be available from November 26.
- GOT a story? RING The Sun on 0207 782 4104 or WHATSAPP on<PHONE_NUMBER>0 or EMAIL exclusive@the-sun.co.uk


The program should display on screen
the area of the triangle as part of the complete sentence shown in the
example output. The program should display at least 4 digits after the
decimal, more is OK.
The area of the
triangle is 24.0000
The area of the trianlge is 5.5650
The area of the trianlge is 59.1000
|


- The link shared through your email will go LIVE on the 1st of October
- The event lasts for a duration of 60 minutes.
- Each team can have a maximum of 2 members
- Each team will get 1 skip for a level, 5 free hints and a base score of 300 points.
- Each stage has a base score of +200 points on completion.
- Compelete a stage in less than 9 minutes and get awarded a bonus of +20 points for the remainding number of minutes.
- In case your free hints are exhauseted, a penalty of -25 per additional hint will be incurred.
- The team with the highest points will be declared the winner.


Registration status:
Version:
Update ServiceWorker
onLoad:
Pending …
Registered:
Nothing registered
onControllerchange:
Not fired


--- title: "Data Cleansing" author: "Conrad Thiele" date: '2019-04-21' output: word_document csl: ieee-with-url.csl categories: - data preparation - data understanding image: caption: '' focal_point: '' citation_package: biblatex slug: data-cleansing tags: - cleaning - collecting - examining - transforming bibliography: library.bib ---
Data preparation plays a pivotal role and in my opinion is inter-twined with data understanding as a foundation to ensuring that, any statistical analysis or algorithm, wrappers, and other assorted machine learning output accurately represent the derived sample. The output that forms the functional graph is made of up of careful transforming, cleaning and examination of data.
In table 1.1 are two samples datasets downloaded from Queensland Government open access dataset and is comprised of wave sensory information from buoys off the Queensland coast. [1][2]. If you would like to download the data used in this tut-tworiel than you can do so via:
##Importing and viewing the dataset.
First things first, import the dataset. In this case, I will be using RStudio, however there are many software packages for performing all the task showning in the tutorial.[RStudio-Vers]
mooloolaba.waves <- read.csv(file = "./data/mooloolaba_2018-01-01t00_00-2018-10-31t23_30.csv", header = T)
caloundra.waves <- read.csv(file = "./data/caloundra-pob_2018-01-01t00_00-2018-10-31t23_30.csv", header = T)
With the data loaded, it is often good to take a quick look for missing values (NA), not a number (NaN), incorrect column headings, and dates/time formats are imported correctly. This can be down with the function head() and tail() which, show a subset portion of the first and last rows.
The field names and descriptors are as follows: * Hs - Significant wave height, an average of the highest third of the waves in a record (26.6 minute recording period). * Hmax - The maximum wave height in the record. * Tz - The zero upcrossing wave period. * Tp - The peak energy wave period. * Dir_Tp TRUE - Direction (related to true north) from which the peak period. Field name Peak.Direction in CSV file. * SST - Approximation of sea surface temperature
head(mooloolaba.waves)
## Date.Time Hs Hmax Tp Tz Peak.Direction SST
## 1 1/01/2018 0:00 -99.900 -99.90 -99.900 -99.900 -99.9 -99.9
## 2 1/01/2018 0:30 0.513 0.81 10.315 4.748 -99.9 -99.9
## 3 1/01/2018 1:00 0.566 0.93 10.778 5.003 92.0 26.4
## 4 1/01/2018 1:30 0.557 0.85 9.984 4.990 91.0 26.4
## 5 1/01/2018 2:00 0.569 0.96 9.277 5.214 81.0 26.4
## 6 1/01/2018 2:30 0.571 0.88 9.901 5.121 80.0 26.4
tail(mooloolaba.waves)
## Date.Time Hs Hmax Tp Tz Peak.Direction SST
## 14587 31/10/2018 21:00 0.802 1.24 12.155 5.121 123 23.60
## 14588 31/10/2018 21:30 0.771 1.34 12.111 4.856 122 23.60
## 14589 31/10/2018 22:00 0.787 1.25 12.130 5.160 129 23.55
## 14590 31/10/2018 22:30 0.784 1.32 11.817 5.214 120 23.55
## 14591 31/10/2018 23:00 0.777 1.20 12.269 5.382 129 23.55
## 14592 31/10/2018 23:30 0.816 1.18 11.968 5.261 125 23.55
Table 1.1 Head and tail of dataset. Dir_Tp TRUE = Peak.Direction
##Summary with Senor Errors.
In Table 1.1 the rows with the value -99.9 do not appear to match up with any of the fields and there descriptions associated with the sample.
There are two important reasons to remove these values, firstly, they are some kind of sensory data issue (a form of sampling error) and secondly, this will skew the average value for each column, as seen in Table 1.2,and will result in an inaccurate analysis.
summary(mooloolaba.waves)
## Date.Time Hs Hmax
## 1/01/2018 0:00 : 1 Min. :-99.9000 Min. :-99.900
## 1/01/2018 0:30 : 1 1st Qu.: 0.8037 1st Qu.: 1.350
## 1/01/2018 1:00 : 1 Median : 1.1120 Median : 1.870
## 1/01/2018 1:30 : 1 Mean : 1.0747 Mean : 1.929
## 1/01/2018 10:00: 1 3rd Qu.: 1.6080 3rd Qu.: 2.700
## 1/01/2018 10:30: 1 Max. : 4.2570 Max. : 7.262
## (Other) :14586
## Tp Tz Peak.Direction SST
## Min. :-99.900 Min. :-99.900 Min. :-99.9 Min. :-99.90
## 1st Qu.: 7.526 1st Qu.: 5.033 1st Qu.: 91.0 1st Qu.: 21.00
## Median : 9.132 Median : 5.567 Median :105.0 Median : 22.95
## Mean : 9.072 Mean : 5.513 Mean :102.5 Mean : 23.09
## 3rd Qu.: 10.901 3rd Qu.: 6.256 3rd Qu.:119.0 3rd Qu.: 25.95
## Max. : 21.121 Max. : 10.146 Max. :358.0 Max. : 28.65
##
Table 1.2 Adapted Five number summary with mean values
Another way to determine outliers is via boxplot as it does a true five number summary. As each of columns range of values (min - max) are completely different, it is best to do a boxplot for each variable (column). For this tutorial, the columns Wave Height(Hs) and Peak Direction were chosen. (seeFigure 1.1)
par(mfrow=c(2,2))
boxplot(mooloolaba.waves$Hs,
data=mooloolaba.waves,
outcol="red",
xlab="Wave Height (Hs)",
main="Wave Data - Mooloolaba")
boxplot(mooloolaba.waves$Peak.Direction,
data=mooloolaba.waves,
outcol="red",
xlab="Peak Direction",
main="Wave Data - Mooloolaba")
Figure 1.1 Wave height and Peak Direction Boxplot
The box portion of the plot, in Figure 1.1, which, represents the range between the first and the third quartile is difficult to interpret. This often happens when there is an extreme distance between minimim and maximum values as produced by the sensory error (-99.9)
As such, it is difficult to determine anything of real value from this plot other than, it definitely has outliers and secondly, they possibly need to be removed. However, before removing an outliers you should always ask yourself these questions:
An outlier(s) are “data point(s) that are an abnormal distance from other values in a dataset.”, and as such, abnormal will need to be defined. [3] Outliers are often found using a five number summary or can be shown using a boxplot.
##Removing Sensor Errors
In this case, The data point, -99.9, is most likely a sensor error and will be removed. (see Table 1.3.)
mooloo.RM.outlier <- mooloolaba.waves[!(apply(mooloolaba.waves[,2:6], 1,
function(y) any(abs(y + 99.9) < 1e-9))),]
summary(mooloo.RM.outlier)
## Date.Time Hs Hmax Tp
## 1/01/2018 1:00 : 1 Min. :0.294 Min. :0.510 Min. : 2.835
## 1/01/2018 1:30 : 1 1st Qu.:0.805 1st Qu.:1.350 1st Qu.: 7.529
## 1/01/2018 10:00: 1 Median :1.112 Median :1.870 Median : 9.147
## 1/01/2018 10:30: 1 Mean :1.248 Mean :2.103 Mean : 9.260
## 1/01/2018 11:00: 1 3rd Qu.:1.609 3rd Qu.:2.700 3rd Qu.:10.903
## 1/01/2018 11:30: 1 Max. :4.257 Max. :7.262 Max. :21.121
## (Other) :14541
## Tz Peak.Direction SST
## Min. : 3.378 Min. : 5 Min. :19.80
## 1st Qu.: 5.036 1st Qu.: 91 1st Qu.:21.00
## Median : 5.568 Median :105 Median :23.00
## Mean : 5.693 Mean :103 Mean :23.43
## 3rd Qu.: 6.257 3rd Qu.:119 3rd Qu.:26.00
## Max. :10.146 Max. :358 Max. :28.65
##
Table 1.3 Adapted Five number summary with mean values outliers removed.
As a result of this one crucial step in removing the sensory error produces a positive mean shift from Table 1.2 - Table 1.3. The data appears to have normalised, i.e. the mean and median values are almost identical, so it would be reasonal to say that it is close to a normal distribution and has gone from being non parametric to parametric.
##Box Plot - Sensor Error removed.
par(mfrow=c(2,2))
boxplot(mooloo.RM.outlier$Hs,
data=mooloo.RM.outlier,
outcol="red",
main="Wave Data Outliers Removed:\nMooloolaba - Wave height")
boxplot(mooloo.RM.outlier$Peak.Direction,
data=mooloo.RM.outlier,
outcol="red",
main="Wave Data Outliers Removed:\nMooloolaba - Peak Direction")
Figure 1.2 Wave height and Peak direction for Mooloolaba outliers removed
In examining the first plot on the left, Wave height, the average wave height for Mooloolaba is 1 metre, still during storms/cyclones, one would expect the wave height could reach between the ranges of 3-4 metres.
In turn, looking at the Peak Direction plot, second graph on the right, the average direction is ~100 degree, yet, as there are 360 degrees in a circle, then the outliers ~350-0 degrees are completely feasible and should be kept.
In both instances, the abnormal values are crucial to explaining the whole picture and as such, it would be detrimental for the analyst to exclude them and would produce what is know as an error due to bias. zzz To sum up, missing values are not always labled as Not Availabe (NA) as is the case with the sensor data reading -99.9. Removing incorrect values, such as these, can make a dramatic improvement in understanding the basics of the data at hand and hopefully now the reader will have a better understand of the need to examine outlier value and question whether or not to remove them.
[1] “Coastal Data System - Waves (Mooloolaba) - Datasets | Data | Queensland Government.” [Online]. Available: https://data.qld.gov.au/dataset/coastal-data-system-waves-mooloolaba. [Accessed: 12-Dec-2018]
[2] “Coastal Data System - Waves (Caloundra) - Datasets | Data | Queensland Government.” [Online]. Available: https://data.qld.gov.au/dataset/coastal-data-system-waves-caloundra. [Accessed: 12-Dec-2018]
[3] E. Davila, “Outliers.” [Online]. Available: https://www.lynda.com/Business-Skills-tutorials/Outliers/427473/531429-4.html. [Accessed: 29-Apr-2019]


But not the only one!
journalism is indispensable.
the web matters.
We no longer control the means of production publication.
we need our own
means of publishing
on the web.
how do we get there?
stop worrying.
learn how to code.
how do we get there?
stop worrying.
learn how to learn.
How the web works
Every website has a unique IP Address.
This is a series of 4 (or 6) numbers.
My personal site's IP Address is <IP_ADDRESS>.
Adobe Creative Cloud = $49 per month*
Text editor + browser = Free
*you probably still need Photoshop and Illustrator for real design work...
A brief primer
<!DOCTYPE html>

<title>My first HTML page!</title>

Hello world!

body {
background-color: #fdf6e3;
}
p {
font-family: "ff-tisa-web-pro", Georgia, serif;
font-size: 36px;
color: #657B83;
}
function myFunction() {
alert("Hello World!");
}
no, really. how?
Tutorials will only get you so far!
but none of this will work if you don't...
build things.
ask questions.
here is a great twitter list of people to ask.
always be Googlin'.
If you're having a problem, someone else has already had the problem, solved the problem and posted the solution online so you can solve it too.
hack your life.

These slides were programmed!

a general approach to programming
programming is about solving problems.
Programming is easy once you know what problem you actually need to solve.
— Heather Billings, Chicago Tribune News Applications
start small.
think big.
thank you.
good luck.


Computech-Electronics/ NEWS / LATEST NEWS / ASUS ROG LINE UP POWERD BY NVID RTY LAUNCHED, PRICE STARTS AT KSH 235,000/=
ARTICLE | BY DAVID TEPPER | APRIL 5, 2019 2:30 PM PDT
Taiwanese brand Asus has unveiled the latest range of gaming laptops under the Republic of Games (ROG) series. These include ROG Zephyrus S GX531, ROG Zephyrus S GX701, and ROG Strix SCAR II along with desktop GL12CX. While the ROG Zephyrus S GX531 is priced at Ksh 350,000/= the ROG Zephyrus S GX70 comes with a price tag of Ksh 399,999/=. Both the devices will be available from April onwards.
The desktop GL12CX is available at Ksh 349,999/=. The ROG Strix SCAR II comes with a starting price of Ksh 249,000/=. Lastly, the Asus Hero II laptop is also priced at Ksh 254,999/=. All these can be purchased starting today, April 5.
Asus ROG Zephyrus S GX531
Claimed by the company to be the world’s slimmest gaming laptop, ROG Zephyrus S GX531 measures about 15.35~16.15mm and offers a 15.6-inch display. It features NVIDIA GeForce RTX 2070 Max-Q and is powered by the latest Intel Core i7-8750H
CPU. It offers 144Hz refresh rate display and 3ms response time. Other features include AAS cooling system, 12v anti-dust cooling fans, 5 heat pipes and 4 heat sinks.
Asus ROG Zephyrus S GX701GX
The laptop sports a 17.3-inch anti-glare display and comes with up to 8th Gen Intel Core i7 processors and NVIDIA GeForce RTX 2080 GPU. The device offers a 144Hz 3ms response time display and boasts of thin bezel design offering an 81% screen to body ratio. The Asus ROG S GX701GX offers an exclusive GPU Switch that easily transitions between better gaming and longer battery life. Other features include AAS cooling system, per-key RGB Lighting and Aura Sync, which also extends illumination to volume roller for quick adjustment.
Asus ROG Strix SCAR II
The 15.6-inch ROG Strix SCAR II comes with 144Hz high refresh rate and 3ms response time. It is powered by NVIDIA GeForce RTX 2070 graphics paired with 8GB of VRAM. Asus ROG Strix SCAR comes equipped with the latest 8th Generation Intel Core i7-8750H six-core CPU. Its keyhighlights are HyperStrike Pro Keyboard, AURA RGB backlight zones, prominent WASD keys and 1.8mm key travel distance.
Arnold Su, ROG and PC Head of Asus India said, “ROG is more than just a gaming brand; it’s a commitment to enhancing your gaming and enthusiast experience through innovative engineering and thoughtful design. Staying true to our promise today we launch the new ROG line up powered by the new NVIDIA GeForce RTX lineup, including the GeForce RTX 2080 on the GL12CX desktop, and the GeForce RTX 2060, RTX 2070 powering the ROG GL504 laptop pairing real-time ray tracing and artificial intelligence with cutting edge gaming and VR performance. Each one offers innovative cooling to ensure that the products deliver unprecedented sustained gaming performance. We are confident with the new RTX line up the ROG segment has become an even more exciting segment to look forward.”


I made this portfolio site for a friend's photography so that they could display their work online. I recently rewrote and redesigned the site using GatsbyJS. For comparison I have linked the old one here.
I started this project in November of 2017 making the game hangman in python and then improving it with feedback from peers at college after that I remade it in JavaScript on a website.


An immutable 2D, axis-aligned, floating-point rectangle whose coordinates are relative to an origin point.
Static Properties
Static Methods
Constructors
- Rect.fromCircle({Point center, double radius })
-
Construct a rectangle that bounds the given circle.
- Rect.fromLTRB(double left, double top, double right, double bottom)
-
Construct a rectangle from its left, top, right, and bottom edges.
- Rect.fromLTWH(double left, double top, double width, double height)
-
Construct a rectangle from its left and top edges, its width, and its height.
- Rect.fromPoints(Point a, Point b)
-
Construct the smallest rectangle that encloses the given points.
Properties
- bottom → double
-
The offset of the bottom edge of this rectangle from the y axis.
read-only - bottomCenter → Point
-
The point at the center of the bottom edge of this rectangle.
read-only - bottomLeft → Point
-
The point at the intersection of the bottom and left edges of this rectangle.
read-only - bottomRight → Point
-
The point at the intersection of the bottom and right edges of this rectangle.
read-only - center → Point
-
The point halfway between the left and right and the top and bottom edges of this rectangle.
read-only - centerLeft → Point
-
The point at the center of the left edge of this rectangle.
read-only - centerRight → Point
-
The point at the center of the right edge of this rectangle.
read-only - hashCode → int
-
read-only
- height → double
-
The distance between the top and bottom edges of this rectangle.
read-only - isEmpty → bool
-
Whether this rectangle encloses a non-zero area. Negative areas are considered empty.
read-only - left → double
-
The offset of the left edge of this rectangle from the x axis.
read-only - right → double
-
The offset of the right edge of this rectangle from the x axis.
read-only - runtimeType → Type
-
A representation of the runtime type of the object.
read-only, inherited - shortestSide → double
-
The lesser of the magnitudes of the width and the height of this rectangle.
read-only - size → Size
-
The distance between upper-left corner and the lower-right corner of this rectangle.
read-only - top → double
-
The offset of the top edge of this rectangle from the y axis.
read-only - topCenter → Point
-
The point at the center of the top edge of this rectangle.
read-only - topLeft → Point
-
The point at the intersection of the top and left edges of this rectangle.
read-only - topRight → Point
-
The point at the intersection of the top and right edges of this rectangle.
read-only - width → double
-
The distance between the left and right edges of this rectangle.
read-only
Operators
-
operator ==(
other) → bool -
The equality operator.
Methods
-
contains(
Point point) → bool -
Whether the given point lies between the left and right and the top and bottom edges of this rectangle.
-
deflate(
double delta) → Rect -
Returns a new rectangle with edges moved inwards by the given delta.
-
inflate(
double delta) → Rect -
Returns a new rectangle with edges moved outwards by the given delta.
-
intersect(
Rect other) → Rect -
Returns a new rectangle that is the intersection of the given rectangle and this rectangle. The two rectangles must overlap for this to be meaningful. If the two rectangles do not overlap, then the resulting Rect will have a negative width or height.
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a non-existent method or property is accessed.
inherited -
shift(
Offset offset) → Rect -
Returns a new rectangle translated by the given offset.
-
toString(
) → String -
Returns a string representation of this object.


THE FAN A film review by Michael John Legeros Copyright 1996 Michael John Legeros
(TriStar) Directed by Tony Scott Written by Phoef Sutton, based on the novel by Peter Abrahams Cast Robert De Niro, Wesley Snipes, John Leguizamo, Ellen Barkin, Benicio Del Toro MPAA Rating "R" (presumably for language and violence) Running Time 115 minutes Reviewed at Mission Valley Cinemas, Raleigh, NC (13AUG96)
==
The first hour is exciting. Before his character ever draws blood, Robert De Niro cuts a chilling figure as an edgy knife salesman (!) whose life is increasingly in shambles. He can't make the numbers at work, his ex-wife is threatening him with a restraining order, and, now, his favorite baseball team's expensive new addition (Wesley Snipes) is hitting his first slump. What's a psychotic fan to do? In these expertly shot early scenes, director Tony Scott (CRIMSON TIDE, TOP GUN) generates tension in the most unlikely of places. Who else would film a car-phone conversation like a high- speed chase? About the time that De Niro's character gets down to business, though, the suspense starts seeping away. Major dramatic events happen, but they don't register. Plausibility wanes, tension fades, and, finally, we're left holding the umbrella during one howler of a rain-soaked night game. The finale is so bad-- so jaw-dropping awful-- that even Marge Schott might be at a loss for words. Other umpires might call it differently, but I say THE FAN is *out*!
Grade: C-
--
Mike Legeros - Raleigh, NC
<EMAIL_ADDRESS>(h) -<EMAIL_ADDRESS>(w)
Visit me in MOVIE HELL
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Related links: index of all rec.arts.movies.reviews reviews


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?The
New
York
copyright
reserved
botanical
Garden
Lisianthius
longifolius
L
R.
E.
WEAVER,
JR.
19
'
'
Duke
University
Herbarium
FLORA
JAMAICENSIS
PUBLIC
GARDENS,
JAMAICA,
and
NEW
YORK
BOTANICAL
GARDEN.
AME
Locality
Collector,
Wm.
HARRIS.
n
i?
ft
?
Mew
York
BotanicaKSarden
lbSMtlS
1624695
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Lothian Restaurants
Lothian Restaurants
Lothian Restaurants consists of two dining facilities within Lothian Residence Hall. Each serve fresh, high-quality meals and snacks throughout the day. Choose from Lothian Residential Restaurant for a variety of hot meals and healthy salads and Spinelli's for late night tasty brick oven pizza, chicken wings, and other options.
Featuring Seven Food Stations
Lothian Residential Restaurant offers continuous, all-you-care-to-eat dining in a relaxed, social environment. Lothian’s seven food stations offer a wide selection of classic and international, healthy, and hearty cuisines. Vegetarian, vegan and gluten-free options are offered daily. Make sure to try Lothian's weekend brunch, featuring a variety of offerings such as rotisserie ham, roast beef, eggs Benedict, enchiladas, scrambled eggs, fresh fruit, country-style potatoes, sausage, pastries, biscuits and gravy, waffles and an omelet bar!
Lothian Residential Restaurant offers continuous, all-you-care-to-eat dining in a relaxed, social environment. Lothian’s seven food stations offer a wide selection of classic and international, healthy, and hearty cuisines. Vegetarian, vegan and gluten-free options are offered daily. Make sure to try Lothian's weekend brunch, featuring a variety of offerings such as rotisserie ham, roast beef, eggs Benedict, enchiladas, scrambled eggs, fresh fruit, country-style potatoes, sausage, pastries, biscuits and gravy, waffles and an omelet bar!
NEIGHBORHOOD GRILL
Serving rotating American diner classics, the Grill features grilled hamburgers, assorted sliders, melts, sandwiches, and all the sides and toppings plus French fries, onion rings and more.
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Always find irresistible dishes at the Vegetarian Bar, such as sloppy, veggie-Joe sliders, hearty soups, Polynesian soy chicken, garden teriyaki soy beef tips and more.
GLOBAL SIZZLE
Our talented chefs prepare a variety of international-themed entrées that add a succulent flair to your plate, many customizable and a la minute.
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Urban Kitchen features traditional favorites such as our popular rotisserie chicken, pork loin, tri tip beef and salmon.
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Oven-roasted and steamed vegetables, specialty salads, and sushi are rotated, along with an array of other delectable items at the Comfort Table.
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Make your salad dream come true at Village Garden. With two serving stations, find a selection of salad greens, fresh-cut fruits, vegetables, nuts, salad toppings and dressings, along with assorted breads, rolls and smears.
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The same great home-style salads and entrees found at the Market at Glen Mor, now in a second convenient location!
Savor Express features a rotating menu that includes hot main entrées – such as slow-roasted chicken, pulled pork and BBQ ribs – alongside a selection of side dishes (hot and cold vegetable dishes, premium artisan salads, fruit and desserts). Use your Meal Swipe for a Combination Plate!
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Breakfast: $8.75
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Contact
Cedric Martin
General Manager
Lothian
Shirley McGowen
Manager
Lothian
Charles Johnson
Chef
Lothian
Supervisor
Krystal Jackson
<EMAIL_ADDRESS>Supervisor
Nabil Nouh
<EMAIL_ADDRESS>Culinary Supervisor
Ariel Barriga
<EMAIL_ADDRESS>Culinary Supervisor
Valerie Ferreira
<EMAIL_ADDRESS>Culinary Supervisor
Juan Sanchez
<EMAIL_ADDRESS>Lothian Residential Restaurant Main Office
(951) 827-5004


Even Låte is a software and hardware engineer. He holds a PhD electronics in electronic engineering from NTNU and he has industry experience in digital and analog integrated circuit design. He has worked as a software developer from 2018 to to 2020, where he gained experience with customization of business process management software with C# and SQL. Since 2021 he has worked as a digital circuit designer with responsibility for on-premise tools, linux server maintenance and design automation. Experience in both the industry and in academic research has shaped Even into an engineer that appreciates seamless workflows such as test automation and an agile work methodology. Even is flexible when investigating new roles.
Microelectronics prize 2014, Best Master's Thesis Award
The prize was awarded for the thesis titled: Transaction Level Modeling of a PCI Express Root Complex. It is awarded annually to students at the M.Sc. level at the department of telecommunications and electronics at NTNU.
Ph.D.
Electronic Engineering
B.B.A.
Economics, Business Administration
M.Sc.
Electronic Engineering
Exchange
Electronic Engineering
Private
Military service, Reconnaissance Platoon
Pupil
Scientific studies, Upper Secondary School
Introducing a greedy word-flipping scheme for macros of asymmetric SRAM cells implemented and manufactured in 130 nm CMOS.
Introducing an ultra low voltage, energy efficient levelshifter implemented and manufactured in 130 nm CMOS.
Introducing a low voltage, energy efficient, memory cell in 28 nm CMOS.
Creating and using a custom low voltage library to implement and manufacture ultra low voltage adders.
Comparative study of memory elements for low voltage sequential CMOS logic.
To be aquired
Even tilegner seg ny kunnskap raskt og skaper gode samarbeidsrelasjoner med kunder og kollegaer i prosjekter som han deltar i.
In 2020 Even published 2 papers in IEEE Transactions on VLSI and IEEE Transactions on circuits and systems, Express briefs, respectively. The former is a Q2 journal in the Scimago journal ranking system ( www.scimago.org ), while the latter is in the top category; Q1.
Even Låte har tatt aktivt del i utvalgets arbeid gjennom fem semester. I denne perioden ble blant annet gjennomført en omfattende periodisk internasjonal evalueringen av alle fakultetets 6 ph.d. programmer. Fakuttetet setter stor pris på den innsats som er utført.
During the period of employment Even Låte has been working with migration, analog design and simulation of an existing SAR ADC architecture into a 0,35um analog CMOS process. During his work he showed good skills in analog CMOS design and also in our CAD tools from Cadence. As a person Even Låte has shown good cooperative and social skills with the analog group.
Even performed his work diligently and in an excellent cooperative spirit. He is now continuing on a project assignment with us as a part of his education at NTNU.
Even har under sin tid vid Goodtech med stor noggrannhet och stort intresse u tfört sina arbetsuppgifter. Even har varit placerad vid Oslokontoret där han arbetat vid koncernens IT - helpdesk. Koncern IT - funktionen spänner över länderna Sverige och Norge så arbetet har inneburit många kontakter med Sverige. Even har hjälpt Svenska och Norska användare samt sökt lösningen på problem bland både N orska och Svenska medarbetare inom IT. Många användare är mycket kunniga inom IT varför nivån på helpdeskärenden kan vara ”hög”. Even har fungerat bra inom den landsöver spännande IT - avdelningen och löst sina uppgifter på ett bra sätt.


Millionaire Pop Star Lily Allen Bursts Into 'Tears' After Jeremy Corbyn Announced His Multi-Billion Pound Raid On The Rich
by Peace FM OnlinePopstar Lily Allen reacted to today's unveiling of the Labour Party manifesto by 'welling up' in a bizarre video and posting it on Twitter.
With tears streaming down her cheeks, the supposedly sobbing singer tweeted a clip of herself struggling to contain her emotions after watching Jeremy Corbyn announce his plan for government.
Her voice cracking, she dabbed at her eyes with immaculately manicured hands and said: 'Guys I've just watched the Labour manifesto. I think it's the best manifesto I've ever seen.'
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{% extends 'templates/planner_card.html' %}
{% import 'includes/ui_element_macros.html' as ui_element_macros %}
{% block id %}your-eye-test-appointment{% endblock %}
{% block heading %}
Your diabetes eye check
{{ booked_eye_test.appointment_date }} at {{ booked_eye_test.appointment_time }}
{% endblock %}
{% block leadin %}
Prepare for your appointment:
Diabetes can damage your blood vessels which can cause sight problems (diabetic retinopathy) and blindness. Eye checks can detect damage before you notice changes to your sight. Treating damaged blood vessels early can stop them affecting your sight.


{% extends 'base.html' %} {% load i18n %} {% block content %}
{% trans 'Your password has been set. You may go ahead and log in now.' %}


Collects and reports the result of all runs.
Did this run pass?
# File lib/minitest.rb, line 381 def passed? results.all?(&:skipped?) end
# File lib/minitest/parallel_each.rb, line 101 def record result Reporter.synchronize do simple_record result end end
Outputs the summary of the run.
# File lib/minitest.rb, line 431 def report aggregate = results.group_by { |r| r.failure.class } aggregate.default = [] # dumb. group_by should provide this f = aggregate[Assertion].size e = aggregate[UnexpectedError].size s = aggregate[Skip].size t = Time.now - start_time io.puts # finish the dots io.puts io.puts "Finished in %.6fs, %.4f runs/s, %.4f assertions/s." % [t, count / t, self.assertions / t] format = "%d runs, %d assertions, %d failures, %d errors, %d skips" summary = format % [count, self.assertions, f, e, s] filtered_results = results.dup filtered_results.reject!(&:skipped?) unless options[:verbose] filtered_results.each_with_index do |result, i| io.puts "\n%3d) %s" % [i+1, result] end io.puts io.puts summary io.sync = self.old_sync if self.sync end
Top-level method to ensure that start and report are called. Yields to the caller.
# File lib/minitest.rb, line 389 def run_and_report start yield report end
Starts reporting on the run.


001/* 002 * Licensed to the Apache Software Foundation (ASF) under one 003 * or more contributor license agreements. See the NOTICE file 004 * distributed with this work for additional information 005 * regarding copyright ownership. The ASF licenses this file 006 * to you under the Apache License, Version 2.0 (the 007 * "License"); you may not use this file except in compliance 008 * with the License. You may obtain a copy of the License at 009 * 010 * http://www.apache.org/licenses/LICENSE-2.0 011 * 012 * Unless required by applicable law or agreed to in writing, 013 * software distributed under the License is distributed on an 014 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY 015 * KIND, either express or implied. See the License for the 016 * specific language governing permissions and limitations 017 * under the License. 018 */ 019package org.apache.shiro; 020 021import org.apache.shiro.mgt.SecurityManager; 022import org.apache.shiro.subject.Subject; 023import org.apache.shiro.util.ThreadContext; 024 025 026/** 027 * Accesses the currently accessible {@code Subject} for the calling code depending on runtime environment. 028 * 029 * @since 0.2 030 */ 031public abstract class SecurityUtils { 032 033 /** 034 * ONLY used as a 'backup' in VM Singleton environments (that is, standalone environments), since the 035 * ThreadContext should always be the primary source for Subject instances when possible. 036 */ 037 private static volatile SecurityManager securityManager; 038 039 /** 040 * Returns the currently accessible {@code Subject} available to the calling code depending on 041 * runtime environment. 042 *
 043 * This method is provided as a way of obtaining a {@code Subject} without having to resort to 044 * implementation-specific methods. It also allows the Shiro team to change the underlying implementation of 045 * this method in the future depending on requirements/updates without affecting your code that uses it. 046 * 047 * @return the currently accessible {@code Subject} accessible to the calling code. 048 * @throws IllegalStateException if no {@link Subject Subject} instance or 049 * {@link SecurityManager SecurityManager} instance is available with which to obtain 050 * a {@code Subject}, which which is considered an invalid application configuration 051 * - a Subject should always be available to the caller. 052 */ 053 public static Subject getSubject() { 054 Subject subject = ThreadContext.getSubject(); 055 if (subject == null) { 056 subject = (new Subject.Builder()).buildSubject(); 057 ThreadContext.bind(subject); 058 } 059 return subject; 060 } 061 062 /** 063 * Sets a VM (static) singleton SecurityManager, specifically for transparent use in the 064 * {@link #getSubject() getSubject()} implementation. 065 *
 066 * This method call exists mainly for framework development support. Application developers should rarely, 067 * if ever, need to call this method. 068 *
 069 * The Shiro development team prefers that SecurityManager instances are non-static application singletons 070 * and not VM static singletons. Application singletons that do not use static memory require some sort 071 * of application configuration framework to maintain the application-wide SecurityManager instance for you 072 * (for example, Spring or EJB3 environments) such that the object reference does not need to be static. 073 *
 074 * In these environments, Shiro acquires Subject data based on the currently executing Thread via its own 075 * framework integration code, and this is the preferred way to use Shiro. 076 *
 077 * However in some environments, such as a standalone desktop application or Applets that do not use Spring or 078 * EJB or similar config frameworks, a VM-singleton might make more sense (although the former is still preferred). 079 * In these environments, setting the SecurityManager via this method will automatically enable the 080 * {@link #getSubject() getSubject()} call to function with little configuration. 081 *
 082 * For example, in these environments, this will work: 083 *
 084 * DefaultSecurityManager securityManager = new {@link org.apache.shiro.mgt.DefaultSecurityManager DefaultSecurityManager}(); 085 * securityManager.setRealms( ... ); //one or more Realms 086 * SecurityUtils.setSecurityManager( securityManager );
 087 *
 088 * And then anywhere in the application code, the following call will return the application's Subject: 089 *
 090 * Subject currentUser = SecurityUtils.getSubject();
 091 * 092 * @param securityManager the securityManager instance to set as a VM static singleton. 093 */ 094 public static void setSecurityManager(SecurityManager securityManager) { 095 SecurityUtils.securityManager = securityManager; 096 } 097 098 /** 099 * Returns the SecurityManager accessible to the calling code. 100 *
 101 * This implementation favors acquiring a thread-bound {@code SecurityManager} if it can find one. If one is 102 * not available to the executing thread, it will attempt to use the static singleton if available (see the 103 * {@link #setSecurityManager setSecurityManager} method for more on the static singleton). 104 *
 105 * If neither the thread-local or static singleton instances are available, this method throws an 106 * {@code UnavailableSecurityManagerException} to indicate an error - a SecurityManager should always be accessible 107 * to calling code in an application. If it is not, it is likely due to a Shiro configuration problem. 108 * 109 * @return the SecurityManager accessible to the calling code. 110 * @throws UnavailableSecurityManagerException 111 * if there is no {@code SecurityManager} instance available to the 112 * calling code, which typically indicates an invalid application configuration. 113 */ 114 public static SecurityManager getSecurityManager() throws UnavailableSecurityManagerException { 115 SecurityManager securityManager = ThreadContext.getSecurityManager(); 116 if (securityManager == null) { 117 securityManager = SecurityUtils.securityManager; 118 } 119 if (securityManager == null) { 120 String msg = "No SecurityManager accessible to the calling code, either bound to the " + 121 ThreadContext.class.getName() + " or as a vm static singleton. This is an invalid application " + 122 "configuration."; 123 throw new UnavailableSecurityManagerException(msg); 124 } 125 return securityManager; 126 } 127}


This site is used to aid making coralized urls. More information about the coral cdn can be found on their website at www.coralcdn.org.
This is a redirector site. It will take the address and forward you to the coralized version of it. Going to http://coralize.net/http://www.google.com/translate will redirect you to http://www.google.com.nyud.net/translate. This server only reformats the address, all caching is still handled by Coral.
- http://coralize.net/http://www.google.com/
- http://coralize.net/http://www.google.com/mail/
Since ssl connections can not and should not be cached, going to an address like http://coralize.net/https://www.google.com/ will automatically redirect to https://www.google.com/. This is the same behavior done by Coral.
Credit goes to whoever initially created this site for starting the idea (and motivating me to actually reregister the domain and recreate it)