java.io.Serializable
, java.time.temporal.TemporalAmount
public final class PeriodDuration
extends java.lang.Object
implements java.time.temporal.TemporalAmount, java.io.Serializable
This class models a quantity or amount of time in terms of a Period
and Duration
.
A period is a date-based amount of time, consisting of years, months and days.
A duration is a time-based amount of time, consisting of seconds and nanoseconds.
See the Period
and Duration
classes for more details.
The days in a period take account of daylight saving changes (23 or 25 hour days). When performing calculations, the period is added first, then the duration.
The model is of a directed amount, meaning that the amount may be negative.
This class must be treated as a value type. Do not synchronize, rely on the identity hash code or use the distinction between equals() and ==.
| Modifier and Type | Field | Description |
|---|---|---|
static PeriodDuration |
ZERO |
A constant for a duration of zero.
|
| Modifier and Type | Method | Description |
|---|---|---|
java.time.temporal.Temporal |
addTo(java.time.temporal.Temporal temporal) |
Adds this amount to the specified temporal object.
|
static PeriodDuration |
between(java.time.temporal.Temporal startInclusive,
java.time.temporal.Temporal endExclusive) |
Obtains an instance consisting of the amount of time between two temporals.
|
boolean |
equals(java.lang.Object otherAmount) |
Checks if this amount is equal to the specified
PeriodDuration . |
static PeriodDuration |
from(java.time.temporal.TemporalAmount amount) |
Obtains an instance from a temporal amount.
|
long |
get(java.time.temporal.TemporalUnit unit) |
Gets the value of the requested unit.
|
java.time.Duration |
getDuration() |
Gets the duration part.
|
java.time.Period |
getPeriod() |
Gets the period part.
|
java.util.List<java.time.temporal.TemporalUnit> |
getUnits() |
Gets the set of units supported by this amount.
|
int |
hashCode() |
A hash code for this amount.
|
boolean |
isZero() |
Checks if all parts of this amount are zero.
|
PeriodDuration |
minus(java.time.temporal.TemporalAmount amountToAdd) |
Returns a copy of this amount with the specified amount subtracted.
|
PeriodDuration |
multipliedBy(int scalar) |
Returns an instance with the amount multiplied by the specified scalar.
|
PeriodDuration |
negated() |
Returns an instance with the amount negated.
|
PeriodDuration |
normalizedStandardDays() |
Returns a copy of this instance with the days and duration normalized using the standard day of 24 hours.
|
PeriodDuration |
normalizedYears() |
Returns a copy of this instance with the years and months exactly normalized.
|
static PeriodDuration |
of(java.time.Duration duration) |
Obtains an instance based on a duration.
|
static PeriodDuration |
of(java.time.Period period) |
Obtains an instance based on a period.
|
static PeriodDuration |
of(java.time.Period period,
java.time.Duration duration) |
Obtains an instance based on a period and duration.
|
static PeriodDuration |
parse(java.lang.CharSequence text) |
Obtains an instance from a text string such as
PnYnMnDTnHnMnS . |
PeriodDuration |
plus(java.time.temporal.TemporalAmount amountToAdd) |
Returns a copy of this amount with the specified amount added.
|
java.time.temporal.Temporal |
subtractFrom(java.time.temporal.Temporal temporal) |
Subtracts this amount from the specified temporal object.
|
java.lang.String |
toString() |
Returns a string representation of the amount.
|
PeriodDuration |
withDuration(java.time.Duration duration) |
Returns a copy of this period-duration with a different duration.
|
PeriodDuration |
withPeriod(java.time.Period period) |
Returns a copy of this period-duration with a different period.
|
public static final PeriodDuration ZERO
public static PeriodDuration of(java.time.Period period, java.time.Duration duration)
The total amount of time of the resulting instance is the period plus the duration.
period
- the period, not nullduration
- the duration, not nullpublic static PeriodDuration of(java.time.Period period)
The duration will be zero.
period
- the period, not nullpublic static PeriodDuration of(java.time.Duration duration)
The period will be zero.
duration
- the duration, not nullpublic static PeriodDuration from(java.time.temporal.TemporalAmount amount)
This obtains an instance based on the specified amount.
A TemporalAmount
represents an amount of time which this factory
extracts to a PeriodDuration
.
The result is calculated by looping around each unit in the specified amount.
Any amount that is zero is ignore.
If a unit has an exact duration, it will be totalled using Duration.plus(Duration)
.
If the unit is days or weeks, it will be totalled into the days part of the period.
If the unit is months or quarters, it will be totalled into the months part of the period.
If the unit is years, decades, centuries or millennia, it will be totalled into the years part of the period.
amount
- the temporal amount to convert, not nulljava.time.DateTimeException
- if unable to convert to a Duration
java.lang.ArithmeticException
- if numeric overflow occurspublic static PeriodDuration parse(java.lang.CharSequence text)
PnYnMnDTnHnMnS
.
This will parse the string produced by toString()
which is
based on the ISO-8601 period formats PnYnMnDTnHnMnS
and PnW
.
The string starts with an optional sign, denoted by the ASCII negative
or positive symbol. If negative, the whole amount is negated.
The ASCII letter "P" is next in upper or lower case.
There are then a number of sections, each consisting of a number and a suffix.
At least one of the sections must be present.
The sections have suffixes in ASCII of "Y" for years, "M" for months,
"W" for weeks, "D" for days, "H" for hours, "M" for minutes, "S" for seconds,
accepted in upper or lower case. Note that the ASCII letter "T" separates
the date and time parts and must be present if any time part is present.
The suffixes must occur in order.
The number part of each section must consist of ASCII digits.
The number may be prefixed by the ASCII negative or positive symbol.
The number must parse to an int
.
Any week-based input is multiplied by 7 and treated as a number of days.
The leading plus/minus sign, and negative values for weeks and days are not part of the ISO-8601 standard.
Note that the date style format PYYYY-MM-DDTHH:MM:SS
is not supported.
For example, the following are valid inputs:
"P2Y" -- PeriodDuration.of(Period.ofYears(2)) "P3M" -- PeriodDuration.of(Period.ofMonths(3)) "P4W" -- PeriodDuration.of(Period.ofWeeks(4)) "P5D" -- PeriodDuration.of(Period.ofDays(5)) "PT6H" -- PeriodDuration.of(Duration.ofHours(6)) "P1Y2M3D" -- PeriodDuration.of(Period.of(1, 2, 3)) "P1Y2M3W4DT8H" -- PeriodDuration.of(Period.of(1, 2, 25), Duration.ofHours(8)) "P-1Y2M" -- PeriodDuration.of(Period.of(-1, 2, 0)) "-P1Y2M" -- PeriodDuration.of(Period.of(-1, -2, 0))
text
- the text to parse, not nulljava.time.format.DateTimeParseException
- if the text cannot be parsed to a periodpublic static PeriodDuration between(java.time.temporal.Temporal startInclusive, java.time.temporal.Temporal endExclusive)
The start is included, but the end is not. The result of this method can be negative if the end is before the start.
The calculation examines the temporals and extracts LocalDate
and LocalTime
.
If the time is missing, it will be defaulted to midnight.
If one date is missing, it will be defaulted to the other date.
It then finds the amount of time between the two dates and between the two times.
startInclusive
- the start, inclusive, not nullendExclusive
- the end, exclusive, not nullpublic long get(java.time.temporal.TemporalUnit unit)
This returns a value for the supported units - ChronoUnit.YEARS
,
ChronoUnit.MONTHS
, ChronoUnit.DAYS
, ChronoUnit.SECONDS
and ChronoUnit.NANOS
.
All other units throw an exception.
Note that hours and minutes throw an exception.
get
in interface java.time.temporal.TemporalAmount
unit
- the TemporalUnit
for which to return the valuejava.time.temporal.UnsupportedTemporalTypeException
- if the unit is not supportedpublic java.util.List<java.time.temporal.TemporalUnit> getUnits()
This returns the list ChronoUnit.YEARS
, ChronoUnit.MONTHS
,
ChronoUnit.DAYS
, ChronoUnit.SECONDS
and ChronoUnit.NANOS
.
This set can be used in conjunction with get(TemporalUnit)
to access the entire state of the amount.
getUnits
in interface java.time.temporal.TemporalAmount
public java.time.Period getPeriod()
public PeriodDuration withPeriod(java.time.Period period)
This instance is immutable and unaffected by this method call.
period
- the new periodpublic java.time.Duration getDuration()
public PeriodDuration withDuration(java.time.Duration duration)
This instance is immutable and unaffected by this method call.
duration
- the new durationpublic boolean isZero()
This returns true if both Period.isZero()
and Duration.isZero()
return true.
public PeriodDuration plus(java.time.temporal.TemporalAmount amountToAdd)
The parameter is converted using from(TemporalAmount)
.
The period and duration are combined separately.
This instance is immutable and unaffected by this method call.
amountToAdd
- the amount to add, not nullDays
based on this instance with the requested amount added, not nulljava.time.DateTimeException
- if the specified amount contains an invalid unitjava.lang.ArithmeticException
- if numeric overflow occurspublic PeriodDuration minus(java.time.temporal.TemporalAmount amountToAdd)
The parameter is converted using from(TemporalAmount)
.
The period and duration are combined separately.
This instance is immutable and unaffected by this method call.
amountToAdd
- the amount to add, not nullDays
based on this instance with the requested amount subtracted, not nulljava.time.DateTimeException
- if the specified amount contains an invalid unitjava.lang.ArithmeticException
- if numeric overflow occurspublic PeriodDuration multipliedBy(int scalar)
This instance is immutable and unaffected by this method call.
scalar
- the scalar to multiply by, not nulljava.lang.ArithmeticException
- if numeric overflow occurspublic PeriodDuration negated()
This instance is immutable and unaffected by this method call.
java.lang.ArithmeticException
- if numeric overflow occurs, which only happens if
the amount is Long.MIN_VALUE
public PeriodDuration normalizedYears()
This normalizes the years and months units, leaving the days unit unchanged. The result is exact, always representing the same amount of time.
The months unit is adjusted to have an absolute value less than 11, with the years unit being adjusted to compensate. For example, a period of "1 year and 15 months" will be normalized to "2 years and 3 months".
The sign of the years and months units will be the same after normalization. For example, a period of "1 year and -25 months" will be normalized to "-1 year and -1 month".
Note that no normalization is performed on the days or duration.
This instance is immutable and unaffected by this method call.
PeriodDuration
based on this one with excess months normalized to years, not nulljava.lang.ArithmeticException
- if numeric overflow occurspublic PeriodDuration normalizedStandardDays()
This normalizes the days and duration, leaving the years and months unchanged. The result uses a standard day length of 24 hours.
This combines the duration seconds with the number of days and shares the total seconds between the two fields. For example, a period of "2 days and 86401 seconds" will be normalized to "3 days and 1 second".
The sign of the days and duration will be the same after normalization. For example, a period of "1 day and -172801 seconds" will be normalized to "-1 day and -1 second".
Note that no normalization is performed on the years or months.
This instance is immutable and unaffected by this method call.
PeriodDuration
based on this one with excess duration normalized to days, not nulljava.lang.ArithmeticException
- if numeric overflow occurspublic java.time.temporal.Temporal addTo(java.time.temporal.Temporal temporal)
This returns a temporal object of the same observable type as the input with this amount added. This simply adds the period and duration to the temporal.
This instance is immutable and unaffected by this method call.
addTo
in interface java.time.temporal.TemporalAmount
temporal
- the temporal object to adjust, not nulljava.time.DateTimeException
- if unable to addjava.time.temporal.UnsupportedTemporalTypeException
- if the DAYS unit is not supportedjava.lang.ArithmeticException
- if numeric overflow occurspublic java.time.temporal.Temporal subtractFrom(java.time.temporal.Temporal temporal)
This returns a temporal object of the same observable type as the input with this amount subtracted. This simply subtracts the period and duration from the temporal.
This instance is immutable and unaffected by this method call.
subtractFrom
in interface java.time.temporal.TemporalAmount
temporal
- the temporal object to adjust, not nulljava.time.DateTimeException
- if unable to subtractjava.time.temporal.UnsupportedTemporalTypeException
- if the DAYS unit is not supportedjava.lang.ArithmeticException
- if numeric overflow occurspublic boolean equals(java.lang.Object otherAmount)
PeriodDuration
.
The comparison is based on the underlying period and duration.
equals
in class java.lang.Object
otherAmount
- the other amount, null returns falsepublic int hashCode()
hashCode
in class java.lang.Object
public java.lang.String toString()
toString
in class java.lang.Object
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Consider the optimization problem
where the function defines constraints. Constraints can also be built into the set .
The Lagrangian is defined as
In the Lagrangian, the “hard” constraints in the optimization problem are replaced with “soft” penalties that can be violated, but for a cost; cost is incurred per unit violation of the th constraint (and credit given per unit “under budget”). A natural question is if there are “prices” for which
has the same solution set as the original problem? This is not always the case, as the figure below illustrates. In the figure, the curve is plotted, which we assume is the boundary of the region . The problem that defines can be viewed as maximization of the linear functional over . The original problem corresponds to the point , which cannot be obtained by maximizing a linear functional (note that the functional corresponding to the tangent at is maximized at the red dot).
The connection between the original (primal) optimization problem and the Lagrangian is given by
where is the primal optimal value. This is easy to see by noting that
It is natural to consider the dual problem in which the order of the inf and sup are reversed:
The function is called the Lagrangian dual function.
The minimax inequality implies weak duality
The minimax inequality is
and holds for any function and any sets and . To derive the inequality, start with
then take an infimum on both sides
and finish with a supremum over the left side
To illustrate the inequality in a simple setting, consider the discrete function whose values are enumerated in in the matrix below (, , , and ).
The minimax inequality says that the largest column min (1) is no more than the smallest row max (2). (The column mins are shown in red below the matrix, and the row maxes are shown in green to the right of the matrix.) This simple example shows that equality does not always hold.
Equality holding in the minimax inequality is closely related to the existence of saddle points of . A saddle point satifies
for all and . A saddle point implies equality holds in minimax:
In the discrete setting, a saddle point is an entry that is the largest in its row and the smallest in its column. For example, 2 is a saddle point in the matrix below because it is the biggest value in its row and the smallest value in its column (and minimax equality holds).
Since a saddle point implies equality in minimax, it is natural to wonder the converse: if equality holds, does have a saddle point? This is true as long as the optimal values are attained. Suppose is optimal in that
and is optimal in that
and equality holds in minimax. Then we have
so equality holds throughout. In particular,
which means is a saddle point.
When is the Lagrangian, the saddle point theorem characterizes strong duality. Suppose the primal optimum is attained at and dual optimum is attained at . Then strong duality holds if and only if is a saddle point of the Lagrangian.
The point is a saddle point of the Lagrangian if:
In this case, strong duality holds and form a primal-dual optimal pair. These saddle point conditions can be stated more explicitly as:
In this explicit form, the saddle point conditions are called KKT conditions. The KKT conditions have other interpretations, as well.
Just as optimality in unconstrained smooth optimization can be characterized by a vanishing gradient, optimality in constrained optimization can be characterized by normality conditions.
As a simple example, consider the linearly constrained smooth problem:
Geometrically we are minimizing the smooth function over the hyperplane . At optimality , the negative gradient must be orthogonal to the hyperplane, i.e., belong to the row space of . Otherwise, we could move in the component of the negative gradient that lies in the hyperplane and reduce the objective while staying feasible.
To generalize the learnings from this simple linear example, we first need to discuss the tangent and normal cones. These cones generalize orthogonal subspaces from linear algebra and tangent/normal spaces from smooth analysis.
Given a set , the (limiting) tangent cone to at a point is defined as
The tangent cone is a generalization of the tangent space, which is only defined at points where the boundary is smooth. For a convex set, the tangent cone is more simply expressed as
where the bar denotes set closure.
The polar of the tangent cone is called normal cone:
For a convex set, the normal cone can be written as
i.e., the set of all vectors that make obtuse angle to at . This is illustrated at two points in the figure below.
The normal cone is important for characterizing optimality in convex optimization: a point is optimal for the problem if and only if . Indeed, if were not in the normal cone, we could find such that . This means that is a descent direction for and moving in this direction maintains feasibibility.
The optimality condition is equivalent to the KKT conditions. (With the Lagrange multipliers giving the representation of in the normal cone.) This is because for a convex set described by smooth inequalities , the normal cone at is the cone generated by the gradients of the active constraints:
Given a function , the convex conjugate is defined by
The function is convex, even if is not (since it is the pointwise maximum of convex functions).
Notice that is the is the smallest offset so that globally underestimates . Geometrically this defines a nonvertical supporting hyperplane to the graph of that intersects the vertical axis at .
Also note that is the maximum value of the linear functional over the graph of , and so is normal to the graph of where the hyperplane touches:
We can replace the graph with the epigraph since
(Recall that the graph of a function is the set and the epigraph is the region “above” the graph .)
There is thus a correspondence between the domain of and supporting hyperplanes to the epigraph of .
A “dual” view of is given by the pointwise maximum of all linear underestimators:
In fact, if is closed and convex, then , the biconjugate of f. Geometrically it is clear that
from the previous discussion, and the same geometry applies at other points.
Consider the primal optimization problem
where is the objective and are contraint functions. The value function describes how the optimal value changes as constraints are relaxed:
The conjugate of the value function closely related to the Lagrange dual:
The above relation shows that the Lagrange dual problem can be viewed as maximization over supporting hyperplanes to the value function. From previous discussions, it is clear that is the dual optimal value and is the primal optimal value. The dual optimal vectors are subgradients to the value function at 0 and therefore contain information about how sensitive the optimal value is to the constraints.
The figure above shows a duality gap () for the original problem . Some of the peturbed problems have duality gaps (red regions) and others do not (green regions).
There is no duality gap if has a nonvertical supporting hyperplane at 0. This is true when and each component of is convex and Slater’s condition holds: there is a point so that . Convexity is not sufficient to ensure no duality gap; the function must also be closed at 0 (see the figure below).
The value function above corresponds to the following convex program (which fails Slater’s condition):
Fenchel duality consists of the primal problem
and the dual problem
Duality is analyzed through the perturbation function , which is convex in .
Notice that the primal optimal value is , and the dual problem is since:
Strong duality holds when 0 belongs to the interior of the domain of (recall the domain of convex function is the region where it is not positive infinity). Further note that:
so , and strong duality holds if .
We derived both Lagrangian and Fenchel duality by reasoning about perturbations. More generally a perturbation function is one where . By considering
and its conjugate
we get the primal problem
and the dual problem


Gazprom Officially Proposes to Naftogaz to Extend Gas Transit Contract
MOSCOW (Sputnik) - Russia's Gazprom has officially proposed to Ukraine's Naftogaz to extend the existing contract for the Russian gas transit through Ukraine, which expires in the end of the year, or to sign a new deal for one year taking into consideration the forecast for the European Union's gas demand.
"Today, Gazprom sent to Naftogaz an official proposal, signed by Management Committee Chairman Alexey Miller, on extending the existing contract or signing a new agreement on gas transit through the Ukrainian territory for one year, taking into consideration the forecast for European consumers' gas demand for 2020," Gazprom said in a statement.
Both the extension of the active contract and the signing of a new one are only possible if both sides withdraw all claims filed with the international arbitrage and cease all court proceedings, if the Anti-Monopoly Committee of Ukraine abolishes its decision on slapping Gazprom with a fine over alleged economical competition breach, and if Naftogaz calls off its request for the European Commission to launch a probe against Gazprom, the Russian gas giant added.
Gazprom also said it awaited Kiev's position on its readiness to buy Russian gas directly starting in 2020.


An empty Mercurial repository is one where there have been no commits in the repository. (The repository has only been initialized.)
In a MacHg Document, the the list of repositories in the left sidebar is always visible and contains a list of repository references. Any empty repositories in this list act like "stem-cell" repositories. That is, since there have been no commits in the repository then the repository has not yet "taken on an identity". The first commit into such an empty repository will "fix" the nature of the repository.
Below is an example screenshot of a document showing an empty repository called "ExampleRepository". One can see that this empty repository is "related" to all the other repositories. It can pull changes from any repository.
Empty repositories appear with a green name to distinguish their special nature.


Derek Eder
@derekeder
The Earth is Full http://www.ted.com/talks/paul_gilding_the_earth_is_full.html excellent TED talk
3/1/2012, 2:06:03 PM
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Derek Eder
@derekeder
The Earth is Full http://www.ted.com/talks/paul_gilding_the_earth_is_full.html excellent TED talk
3/1/2012, 2:06:03 PM
Favs: 0
Retweets: 0
link


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| Opcode | Instruction | Op/En | 64-Bit Mode | Compat/Leg Mode | Description |
|---|---|---|---|---|---|
| 0F 01 C9 | MWAIT | NP | Valid | Valid | A hint that allow the processor to stop instruction execution and enter an implementation-dependent optimized state until occurrence of a class of events. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| NP | NA | NA | NA | NA |
MWAIT instruction provides hints to allow the processor to enter an implementation-dependent optimized state. There are two principal targeted usages: address-range monitor and advanced power management. Both usages of MWAIT require the use of the MONITOR instruction.
CPUID.01H:ECX.MONITOR[bit 3] indicates the availability of MONITOR and MWAIT in the processor. When set, MWAIT may be executed only at privilege level 0 (use at any other privilege level results in an invalid-opcode exception). The operating system or system BIOS may disable this instruction by using the IA32_MISC_ENABLE MSR; disabling MWAIT clears the CPUID feature flag and causes execution to generate an invalid-opcode excep-tion.
This instruction’s operation is the same in non-64-bit modes and 64-bit mode.
ECX specifies optional extensions for the MWAIT instruction. EAX may contain hints such as the preferred optimized state the processor should enter. The first processors to implement MWAIT supported only the zero value for EAX and ECX. Later processors allowed setting ECX[0] to enable masked interrupts as break events for MWAIT (see below). Software can use the CPUID instruction to determine the extensions and hints supported by the processor.
For address-range monitoring, the MWAIT instruction operates with the MONITOR instruction. The two instructions allow the definition of an address at which to wait (MONITOR) and a implementation-dependent-optimized opera-tion to commence at the wait address (MWAIT). The execution of MWAIT is a hint to the processor that it can enter an implementation-dependent-optimized state while waiting for an event or a store operation to the address range armed by MONITOR.
The following cause the processor to exit the implementation-dependent-optimized state: a store to the address range armed by the MONITOR instruction, an NMI or SMI, a debug exception, a machine check exception, the BINIT# signal, the INIT# signal, and the RESET# signal. Other implementation-dependent events may also cause the processor to exit the implementation-dependent-optimized state.
In addition, an external interrupt causes the processor to exit the implementation-dependent-optimized state either (1) if the interrupt would be delivered to software (e.g., as it would be if HLT had been executed instead of MWAIT); or (2) if ECX[0] = 1. Software can execute MWAIT with ECX[0] = 1 only if CPUID.05H:ECX[bit 1] = 1. (Implementation-specific conditions may result in an interrupt causing the processor to exit the implementation-dependent-optimized state even if interrupts are masked and ECX[0] = 0.)
Following exit from the implementation-dependent-optimized state, control passes to the instruction following the MWAIT instruction. A pending interrupt that is not masked (including an NMI or an SMI) may be delivered before execution of that instruction. Unlike the HLT instruction, the MWAIT instruction does not support a restart at the MWAIT instruction following the handling of an SMI.
If the preceding MONITOR instruction did not successfully arm an address range or if the MONITOR instruction has not been executed prior to executing MWAIT, then the processor will not enter the implementation-dependent-opti-mized state. Execution will resume at the instruction following the MWAIT.
MWAIT accepts a hint and optional extension to the processor that it can enter a specified target C state while waiting for an event or a store operation to the address range armed by MONITOR. Support for MWAIT extensions for power management is indicated by CPUID.05H:ECX[bit 0] reporting 1.
EAX and ECX are used to communicate the additional information to the MWAIT instruction, such as the kind of optimized state the processor should enter. ECX specifies optional extensions for the MWAIT instruction. EAX may contain hints such as the preferred optimized state the processor should enter. Implementation-specific conditions may cause a processor to ignore the hint and enter a different optimized state. Future processor implementations may implement several optimized “waiting” states and will select among those states based on the hint argument.
Table 4-10 describes the meaning of ECX and EAX registers for MWAIT extensions.
| Bits | Description |
|---|---|
| 0 | Treat interrupts as break events even if masked (e.g., even if EFLAGS.IF=0). May be set only if CPUID.05H:ECX[bit 1] = 1. |
| 31: 1 | Reserved |
| Bits | Description |
|---|---|
| 3 : 0 | Sub C-state within a C-state, indicated by bits [7:4] |
| 7 : 4 |
Target C-state* Value of 0 means C1; 1 means C2 and so on Value of 01111B means C0 Note: Target C states for MWAIT extensions are processor-specific C-states, not ACPI C-states |
| 31: 8 | Reserved |
Note that if MWAIT is used to enter any of the C-states that are numerically higher than C1, a store to the address range armed by the MONITOR instruction will cause the processor to exit MWAIT only if the store was originated by other processor agents. A store from non-processor agent might not cause the processor to exit MWAIT in such cases.
For additional details of MWAIT extensions, see Chapter 14, “Power and Thermal Management,” of Intel® 64 and IA-32 Architectures Software Developer’s Manual, Volume 3A.
(* MWAIT takes the argument in EAX as a hint extension and is architected to take the argument in ECX as an instruction extension MWAIT EAX, ECX *) { WHILE ( (“Monitor Hardware is in armed state”)) { implementation_dependent_optimized_state(EAX, ECX); } Set the state of Monitor Hardware as triggered; }
MWAIT:
void _mm_mwait(unsigned extensions, unsigned hints)
MONITOR/MWAIT instruction pair must be coded in the same loop because execution of the MWAIT instruction will trigger the monitor hardware. It is not a proper usage to execute MONITOR once and then execute MWAIT in a loop. Setting up MONITOR without executing MWAIT has no adverse effects.
Typically the MONITOR/MWAIT pair is used in a sequence, such as:
EAX = Logical Address(Trigger)
ECX = 0 (*Hints *)
EDX = 0 (* Hints *)
IF ( !trigger_store_happened) {
MONITOR EAX, ECX, EDX
IF ( !trigger_store_happened ) {
MWAIT EAX, ECX
}
}
The above code sequence makes sure that a triggering store does not happen between the first check of the trigger and the execution of the monitor instruction. Without the second check that triggering store would go un-noticed. Typical usage of MONITOR and MWAIT would have the above code sequence within a loop.
None
| #GP(0) |
If ECX[31:1] ≠ 0. If ECX[0] = 1 and CPUID.05H:ECX[bit 1] = 0. |
| #UD |
If CPUID.01H:ECX.MONITOR[bit 3] = 0. If current privilege level is not 0. |
| #GP |
If ECX[31:1] ≠ 0. If ECX[0] = 1 and CPUID.05H:ECX[bit 1] = 0. |
| #UD | If CPUID.01H:ECX.MONITOR[bit 3] = 0. |
| #UD | The MWAIT instruction is not recognized in virtual-8086 mode (even if CPUID.01H:ECX.MONITOR[bit 3] = 1). |
Same exceptions as in protected mode.
| #GP(0) |
If RCX[63:1] ≠ 0. If RCX[0] = 1 and CPUID.05H:ECX[bit 1] = 0. |
| #UD |
If the current privilege level is not 0. If CPUID.01H:ECX.MONITOR[bit 3] = 0. |


| DOSE: |
1 tablet |
oral |
MDMA |
(pill / tablet) |
Since there are so many negative posts, I thought a positive statement from someone who's been using X for 14 years might be useful.
At my peak (in 1987), I was using 2-6 times/month. For a long period during the 90s, I took X only once/year or so. As long as I'm not taking it twice in the same week, the frequency doesn't seem to matter much.
I do not get second-day depression. In fact, if I can get a full night's sleep, I wake up the next day with my mood significantly elevated. If I can't, I generally have a bad next day, but once I get a good night's sleep the elevation begins then. A few times this has reached hypomanic levels (but than I am bipolar), but usually it's just a warm 'up' feeling.
Along with the elevated mood, I'm sometimes a little more empathic than usual. For example, one time I introduced my girlfriend at the time (of about three months) to X, and over the next week we were much more open with and tolerant of each other. (And of course even after the feeling had faded, it left a positive effect on our relationship.) Another example: a friend of nearly a decade recently took X for the first time (with me), and three days later we were able to resolve-some long-standard problems that we'd never been able to discuss before (and still find it hard to discuss now).
These after-effects tend to gradually fade out over about 4-8 days. (And taking X again during that period doesn't seem to extend them at all, although I haven't tested that too much.)
The only real negative (other than insomnia on the night I take it and minor problems related to smoking too much while I'm on X) is that X can interfere with the 'creative' after-effects of some other drugs. After taking certain drugs (2C-B, Ketamine, etc.), I wake up the next day with a feeling of increased creativity, and my work on music, fiction, and even computer software is definitely enhanced. X seems to block this effect most of the time.
I nearly always eat a full meal before going to bed (as well as drinking plenty of water, taking vitamins, etc.), and this may be important. I have generally not taken 5-HTP, l-tryptophan, or other 'specialty' supplements (except for DMAE, which is for combatting problems with staying up until 5am or noon or whatever rather than problems with X).
Responding to Jonas: From watching friends who _do_ have hangovers, I don't think it has anything to do with purity. The differences in trips and hangovers is probably completely psychosomatic.
On the other hand, according to one friend, pure MDMA causes him a hangover, but MDMA combined with MDA or MDE (as little as 10%) does not. So searching for 'purity' may actually be counter-productive.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


The following document contains the results of FindBugs
FindBugs Version is 3.0.1
Threshold is medium
Effort is max
| Bug | Category | Details | Line | Priority |
|---|---|---|---|---|
| Hard coded reference to an absolute pathname in au.gov.amsa.animator.ModelEmpty.main(String[]) | STYLE | DMI_HARDCODED_ABSOLUTE_FILENAME | 35 | Medium |
| Bug | Category | Details | Line | Priority |
|---|---|---|---|---|
| Hard coded reference to an absolute pathname in au.gov.amsa.animator.ModelManyCraft.main(String[]) | STYLE | DMI_HARDCODED_ABSOLUTE_FILENAME | 154 | Medium |
| Bug | Category | Details | Line | Priority |
|---|---|---|---|---|
| Unread field: au.gov.amsa.animator.ModelManyCraft$FixesSubscriber.maxSize; should this field be static? | PERFORMANCE | SS_SHOULD_BE_STATIC | 72 | Medium |
| Bug | Category | Details | Line | Priority |
|---|---|---|---|---|
| Hard coded reference to an absolute pathname in au.gov.amsa.animator.Sources.singleDay() | STYLE | DMI_HARDCODED_ABSOLUTE_FILENAME | 15 | Medium |
| Bug | Category | Details | Line | Priority |
|---|---|---|---|---|
| Integral division result cast to double or float in au.gov.amsa.animator.ViewRecentTracks.draw(Model, Graphics2D, AffineTransform) | STYLE | ICAST_IDIV_CAST_TO_DOUBLE | 40 | Medium |
| Bug | Category | Details | Line | Priority |
|---|---|---|---|---|
| com.github.davidmoten.util.MapWithIndex$NaturalNumbers$1.next() can't throw NoSuchElementException | BAD_PRACTICE | IT_NO_SUCH_ELEMENT | 81 | Medium |


This small application does nothing, but showing the current name of the user.
It is an example on what you can do in Realbasic using the MBS Plugins on global menus.
This application runs in the background and can be quit using the Activity Monitor (see /Applications/Utilities folder).
Drop the application wherever you want it to be. You only need the application file and if you like you can add it to the login items in your user settings in system preferences to have it launched on login time.


You can inquire your reserved ticket.
You can take a quick look at local restaurants and accommodation.
Travel comfortably with our Etravel guides.
We'll escort you safely from the airport to your hotel.
During the tour you have applied for, you will be able to take a look at the guide's kind explanations and key local attractions.
Visit the area's famous restaurant and experience the beautiful museum.
We'll take pictures your lover or family at no charge!!
201810676
201810691
Guide
For more information, call T.010.4955.9120.


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You have already reached the max number un-approved Flights (10).
You are required to have less the number to make a new Flight
Your Last {{my_pending_approval_airspaces_count}} are:
{% for my_pending_approval_airspace in my_pending_approval_airspaces %}
{{my_pending_approval_airspace}}
{% endfor %}


--- title: "Generate label footprints for Satellite Imagery: the Pythonic Way [Part 1]" collection: blog permalink: /blog/post_5/query-open-street-maps-api excerpt: 'Use Open Street Maps to query for certain amenities or landmarks' date: 2018-02-19 tags: - GIS - Satellite Imagery - machine learning - Open Street Maps - Python - API - geoPandas - gdal - OSM - Bokeh - geoJSON - Visualisation - data science ---
I got introduced to super dope fields of Geographic Information Systems, Spatial Analysis and Satellite Imaging while I interened at Planet in San Francisco. This series of posts will introduce you to a side project that I accomplished. Special thanks to Kat and Kyle, my mentors at Planet. Disclamer: Credits will be given where they are due. I will assume that you might know certain concepts and tools at the start of each part of this tutorial. In case you do not know them, don't worry you can always look them up and come back to the tutorial afterwards. But, between you and me; do come back! In any case I will mention the things to know at the start of each part of this series. Like this:
Suppose you have satellite imagery for an Area of Interest (AOI). You can do all sorts of crazy things with that in the computer visio and machine learning community. But given just a geoJSON file of an AOI, how can you get the footprints of all the buildings in the Le Plateau area of Montreal or all the roads/alleys in the South of Market (SoMA) district in San Francisco or perhaps you want to see where are all the general amentities in the Italian quarter in Boston. Once, you have got the footprints as a geoJSON file, can you save them as images (tif, png or anything you like). And, finally you know what you can do with these images? Yes, you guessed it right.
Let us first see some pretty images.
Let's say we have the four coordinates (we will see how to get those in this tutorial) of some region on earth. We call the region as our AOI. Below is a list of tasks that we would like to accomplish with this AOI...
In this first part of the tutorial series, we will first extract the AOI of some desired region and save that as a geoJSON file. Next, we will repeat this small exercise on Open Street Maps' web API but this time we will also query buildings (or highways) and save the entire footprint as a geoJSON. We will stop and ponder over the saved geoJSON files. We can save the footprints as images or html files.
Let's explore geojson.io. You have the choice to select an AOI using the cursor. Go to your favorite city and draw an AOI. You can do that either select a rectangular region or an arbitrary polygon. Let's draw a rectangular region for now. I have drawn one in Montreal (the city I am currently writing this post from). Next, on the right side you can see the JSON tab. By clicking that you can see the coordinates of the given region. Remember that each coordinate is in the form: (longitude, latitude). On the left panel we have the option to save these coordinates in various forms. For now, we will save it as geoJSON. Here (on gitHub) is the geoJSON file that I got for roughly Montreal's Lower Plateau area. I have also included a screenshot below to make sure we have the right thing with us. Fun fact: I love the café culture in this city!
{"type":"FeatureCollection","features":[{"type":"Feature","properties":{},"geometry":{"type":"Polygon", "coordinates":[[ [-73.58076095581055,45.509474756808736], [-73.55835914611816,45.509474756808736], [-73.55835914611816,45.52081177681294], [-73.58076095581055,45.52081177681294], [-73.58076095581055,45.509474756808736] ]]}}]}}
OSM's web API is known as Overpass API and with overpass-turbo you can run Overpass API's queries interactively on the web. Just as we did before, go ahead and select a region of interest at overpass-turbo. This time I am going with a small part of the financial disctrict in San Francisco. On the menu bar at the top of the website, you should see an interesting option named: Wizard. Click on that and feel free to explore in your free time. For now, type in building in the query box and then click on the build and run option. You should see some code generated on the left side of your screen and it appears like this. Make sure you have got the same thing.
/* This has been generated by the overpass-turbo wizard. The original search was: “building” */ [out:json][timeout:25]; // gather results ( // query part for: “building” node["building"]({{bbox}}); way["building"]({{bbox}}); relation["building"]({{bbox}}); ); // print results out body; >; out skel qt;
What you have got is a code snippet which runs on the server and queries all the buildings in the given AOI. You can see that on the maps. The footprint of each of the building is shown as bounding boxes. Go ahead and zoom in to see the different buildings. Did you get something like this?
And now you are probably wondering can I save this data? Ofcourse, we can! And we will do that in three different ways.
1. Let us get a geoJSON file just like we did before. To do that click on export and then save the file as a geoJSON. If you go through the file, you should see that there is tons of information out there. Let us see: You get the coordinates of each building. Wow. What is more interesing is the additional information that you get out of it. Here is my file (an on gitHub). And the first few lines of the file....
{ "type": "FeatureCollection", "generator": "overpass-ide", "copyright": "The data included in this document is from www.openstreetmap.org. The data is made available under ODbL.", "timestamp": "2018-02-25T06:10:02Z", "features": [ { "type": "Feature", "properties": { "@id": "relation/6483285", "addr:city": "San Francisco", "addr:housenumber": "55", "addr:postcode": "94103", "addr:state": "CA", "addr:street": "4th Street", "building": "hotel", "building:levels": "5", "height": "133", "name": "San Francisco Marriott Marquis", "operator": "Marriott", "phone": "(415) 896-1600", "smoking": "no", "tourism": "hotel", "type": "multipolygon", "website": "https://www.marriott.com/hotels/travel/sfodt-san-francisco-marriott-marquis/", "wikidata": "Q3471438" }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -122.4049189, 37.7858309 ], [ -122.404879, 37.785861 ], [ -122.4047012, 37.7857217 ], [ -122.4046577, 37.7856871 ], [ -122.4046488, 37.7856801 ], [ -122.4042572, 37.7847125 ], [ -122.4042282, 37.7847348 ] ] ] }, "id": "relation/6483285"
2. Save this AOI as an image. Click on export and then select the save as png file option.
3. You can also open this on a map and get a weblink which you play with. Here is my link.
We will stop with that in this tutorial. In the next part of this series, we wil dive into the code and actually get to the meat of the problem! Go here for part two of this tutorial.


{% extends '_layout.html' %} {% block content %}
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This is the partial for Dashboard
Temperature in London is:
{{weather.main.description}}
{{weather.main.temp}}
×
{{info}}
Departments
{{data.name}}
Employees
{{data.lastName}}
Tasks
{{data.title}}


Layer that displays and formats a text string.
More...
|
|
typedef struct TextLayer | TextLayer |
| |
Layer that displays and formats a text string.
The geometric information (bounds, frame) of the Layer is used as the "box" in which the text is drawn. The TextLayer also has a number of other properties that influence how the text is drawn. Most important of these properties are: a pointer to the string to draw itself, the font, the text color, the background color of the layer, the overflow mode and alignment of the text inside the layer.
- See also
- Layers
-
Drawing Text
-
Fonts
◆ text_layer_create()
| TextLayer* text_layer_create |
( |
GRect |
frame | ) |
|
Creates a new TextLayer on the heap and initializes it with the default values.
The text layer is automatically marked dirty after this operation.
- Parameters
-
| frame | The frame with which to initialze the TextLayer |
- Returns
- A pointer to the TextLayer.
NULL
if the TextLayer could not be created
◆ text_layer_enable_screen_text_flow_and_paging()
| void text_layer_enable_screen_text_flow_and_paging |
( |
TextLayer * |
text_layer, |
|
|
uint8_t |
inset |
|
) |
| |
◆ text_layer_get_content_size()
| GSize text_layer_get_content_size |
( |
TextLayer * |
text_layer | ) |
|
Calculates the size occupied by the current text of the TextLayer
- Parameters
-
| text_layer | the TextLayer for which to calculate the text's size |
- Returns
- The size occupied by the current text of the TextLayer
◆ text_layer_get_layer()
| Layer* text_layer_get_layer |
( |
TextLayer * |
text_layer | ) |
|
Gets the "root" Layer of the text layer, which is the parent for the sub- layers used for its implementation.
- Parameters
-
| text_layer | Pointer to the TextLayer for which to get the "root" Layer |
- Returns
- The "root" Layer of the text layer.
◆ text_layer_get_text()
| const char* text_layer_get_text |
( |
TextLayer * |
text_layer | ) |
|
Gets the pointer to the string that the TextLayer is using.
- Parameters
-
| text_layer | The TextLayer for which to get the text |
- See also
- text_layer_set_text
◆ text_layer_restore_default_text_flow_and_paging()
| void text_layer_restore_default_text_flow_and_paging |
( |
TextLayer * |
text_layer | ) |
|
◆ text_layer_set_background_color()
| void text_layer_set_background_color |
( |
TextLayer * |
text_layer, |
|
|
GColor |
color |
|
) |
| |
Sets the background color of the bounding box that will be drawn behind the text
- Parameters
-
| text_layer | The TextLayer of which to set the background color |
| color | The new GColor to set the background to |
- See also
- text_layer_set_text_color
◆ text_layer_set_font()
| void text_layer_set_font |
( |
TextLayer * |
text_layer, |
|
|
GFont |
font |
|
) |
| |
◆ text_layer_set_overflow_mode()
| void text_layer_set_overflow_mode |
( |
TextLayer * |
text_layer, |
|
|
GTextOverflowMode |
line_mode |
|
) |
| |
Sets the line break mode of the TextLayer
- Parameters
-
| text_layer | The TextLayer of which to set the overflow mode |
| line_mode | The new GTextOverflowMode to set |
◆ text_layer_set_size()
| void text_layer_set_size |
( |
TextLayer * |
text_layer, |
|
|
const GSize |
max_size |
|
) |
| |
Update the size of the text layer This is a convenience function to update the frame of the TextLayer.
- Parameters
-
| text_layer | The TextLayer of which to set the size |
| max_size | The new size for the TextLayer |
◆ text_layer_set_text()
| void text_layer_set_text |
( |
TextLayer * |
text_layer, |
|
|
const char * |
text |
|
) |
| |
Sets the pointer to the string where the TextLayer is supposed to find the text at a later point in time, when it needs to draw itself.
- Parameters
-
| text_layer | The TextLayer of which to set the text |
| text | The new text to set onto the TextLayer. This must be a null-terminated and valid UTF-8 string! |
- Note
- The string is not copied, so its buffer most likely cannot be stack allocated, but is recommended to be a buffer that is long-lived, at least as long as the TextLayer is part of a visible Layer hierarchy.
- See also
- text_layer_get_text
◆ text_layer_set_text_alignment()
| void text_layer_set_text_alignment |
( |
TextLayer * |
text_layer, |
|
|
GTextAlignment |
text_alignment |
|
) |
| |
Sets the alignment of the TextLayer
- Parameters
-
| text_layer | The TextLayer of which to set the alignment |
| text_alignment | The new text alignment for the TextLayer |
- See also
- GTextAlignment
◆ text_layer_set_text_color()
| void text_layer_set_text_color |
( |
TextLayer * |
text_layer, |
|
|
GColor |
color |
|
) |
| |
Sets the color of text that will be drawn
- Parameters
-
| text_layer | The TextLayer of which to set the text color |
| color | The new GColor to set the text color to |
- See also
- text_layer_set_background_color


"Guys guys it has pandas"
- AceiusIO on BowedPanda
BowedPanda is a Forge Modpack for Minecraft 1.15.2 by AceiusIO for BowedMars374878.
BowedPanda can be obtained by creating a 1.15.2 forge installation and overwriting it's mods
folder, and will be avalible on curse forge some time in the future. Download link.
BowedPanda Website, © 2021 AceiusIO


We talk about open source projects and contributing to them. Where Bas forgets what a CNAME is, and Benedikt has to look it up for him.
Please let us know your take-away of this episode by sharing it with us @_contravariance.
An iTunes review is also greatly appreciated!


More of a proof of concept. Therefore there is really no bounds checking, input validation, or testing. If people like the idea or it's helpful to others and myself I'll update it. More info on MongoDB configuration can be found http://docs.mongodb.org/manual/reference/configuration-options/. Code can be found at https://github.com/Mkoopajr/monconfig


§431:1-103 Headings. The meaning or scope of any provision is not affected by any heading. [L 1987, c 347, pt of §2]


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Mozilla is an open and free software community that was founded in 1988. It was established by the Mozilla Foundation, a non-profit organization that promotes open source contributions and collaboration, innovation, and creativity worldwide. The community thus supports the usage and development of Mozilla products thereby exclusively promoting free software and open standards, with minor exceptions.
The most widely known product is the Firefox browser which is available on desktops and mobiles. The browser is open source and privacy-focused. Other products of the Mozilla community include Firefox Focus, Mozilla VPN, Firefox OS and many other products which are based on the open source principle.
The Mozilla Campus Club of CCEW was formed with the aim of promoting the idea of open source among aspiring students and encouraging them to make the most of the opportunities that come along with it. Along with staying connected via social media platforms and running a blog on open source development, various events are organized for promoting the idea of open source among the students.
We have successfully conducted webinars with notable speakers and demonstrative sessions about platforms like GitHub. Furthermore, the club provides everyone with a platform to participate in prominent competitions like Hacktoberfest and many more.


ISN'T SHE GREAT A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): * 1/2
Andrew Bergman (STRIPTEASE) rolls out the treacle trucks in ISN'T SHE GREAT, a story based on the life of Jacqueline Susann ("The Valley of the Dolls"). Giving her life a bizarrely saccharine, Ozzie-and-Harriet gloss, Bergman turns the queen of sleaze into a literary heroine. And he makes her life so excessively cute and over-the-top fun that you may gag. At any minute you expect the cast to stop and ask the audience "Is everybody happy?"
Starring Bette Midler, as Jacqueline Susann, and Nathan Lane, as her husband and agent, Irving Mansfield, the movie, thanks to Bergman's overdirection, manages to bring out the most annoying parts of each actor. Although the movie is short, you'll find yourself secretly hoping for the obviously fatal conclusion -- Susann is diagnosed early in the picture with cancer -- to occur much sooner than it does.
Filmed by Karl Walter Lindenlaub with bright, peppy colors and scored by Burt Bacharach for maximum cloyingness, the film doesn't have a subtle moment. Although Jacqueline wrote about a world of sex and drugs, the movie provides no background on this.  She does sometime speak harshly to God, who appears as the sunlight that filters through a Central Park tree.
As Jacqueline's lap dog of a husband, Nathan Lane plays obsequiousness to the hilt. During her fake suicide episode, he walks into the lake to save her before she drowns.
The only saving graces in the movie are two of the supporting cast, to whom writer Paul Rudnick (IN & OUT) gives some of the few lines with any possibilities. Stockard Channing, as Jacqueline's smart-mouthed friend Flo, likes to tell it like it is. When Irving suggests a book to Jacqueline as the salvation for her sagging acting career, Flo, not realizing that he means writing, tells him how stupid his idea is. "Oh come on, Irving," Flo says, "reading never solved anything."
As her anal-retentive, Brooks-Brothers-dressed editor, Michael, David Hyde Pierce gives a prissy performance that's cute at first, but it's a one joke idea. His slow transformation out of his regimented life is as predictable as the rest of the story.
"Talent isn't everything," Flo says. And the mere collection of a talented cast does not ensure that the movie can demonstrate any. ISN'T SHE GREAT was probably a bad idea from the beginning, and nothing in this movie convinces us otherwise.
ISN'T SHE GREAT runs 1:30. It is rated R for language and would be acceptable for teenagers.
Email<EMAIL_ADDRESS>Web: http://www.InternetReviews.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


vCheck is an extensible reporting framework, which can be used to generate HTML reports.
Reports for four different technologies- vSphere, NSX, Active Directory, Exchange and DFS.
Over 150 different plugins over all projects.
vCheck is a PowerShell HTML framework script, the script is designed to run as a scheduled task before you get into the office to present you with key information via an email directly to your inbox in a nice easily readable format.
This script picks on the key known issues and potential issues scripted as plugins for various technologies written as Powershell scripts and reports it all in one place so all you do in the morning is check your email.One of they key things about this report is if there is no issue in a particular place you will not receive that section in the email, for example if there are no datastores with less than 5% free space (configurable) then the disk space section in the virtual infrastructure version of this script, it will not show in the email, this ensures that you have only the information you need in front of you when you get into the office.This script is not to be confused with an Audit script, although the reporting framework can also be used for auditing scripts too. I don't want to remind you that you have 5 hosts and what there names are and how many CPUs they have each and every day as you don't want to read that kind of information unless you need it, this script will only tell you about problem areas with your infrastructure.


Class: Procreate::Swatches::Parser
- Inherits:
-
Object
- Object
- Procreate::Swatches::Parser
- Includes:
- CallableClass, ColorsHelper
- Defined in:
- lib/procreate/swatches/parser.rb
Overview
The class that handles the parsing of a .swatches
file to an
instance of Wrapper.
Constant Summary
Constants included from ColorsHelper
ColorsHelper::SELECTED_KEYS, ColorsHelper::SWATCHES_ALPHA, ColorsHelper::SWATCHES_COLOR_SPACE, ColorsHelper::SWATCHES_MAX_SIZE
Instance Attribute Summary collapse
-
#file_path ⇒ Object
readonly
Returns the value of attribute file_path.
-
#wrapper ⇒ Object
readonly
Returns the value of attribute wrapper.
Class Method Summary collapse
-
.call ⇒ Object
Creates a new instance of Parser and calls #call Dynamically included by using CallableClass gem.
Instance Method Summary collapse
-
#call ⇒ Procreate::Swatches::Wrapper
Process the provided
.swatches
file and wrap the content in a Wrapper. -
#initialize(file_path) ⇒ Parser
constructor
Initialize a new instance of Parser.
Methods included from ColorsHelper
#prepare_color_for_push, #to_chroma_hsv, #to_color_json, #to_swatches_json
Constructor Details
#initialize(file_path) ⇒ Parser
Initialize a new instance of Procreate::Swatches::Parser
35 36 37 38 39 |
# File 'lib/procreate/swatches/parser.rb', line 35 def initialize(file_path) @file_path = file_path validate! end |
Instance Attribute Details
#file_path ⇒ Object (readonly)
Returns the value of attribute file_path
25 26 27 |
# File 'lib/procreate/swatches/parser.rb', line 25 def file_path @file_path end |
#wrapper ⇒ Object (readonly)
Returns the value of attribute wrapper
21 22 23 |
# File 'lib/procreate/swatches/parser.rb', line 21 def wrapper @wrapper end |
Class Method Details
.call ⇒ Object
Creates a new instance of Procreate::Swatches::Parser and calls #call Dynamically included by using CallableClass gem.
|
|
# File 'lib/procreate/swatches/parser.rb', line 15
|
Instance Method Details
#call ⇒ Procreate::Swatches::Wrapper
Process the provided .swatches
file and wrap the content in a
Wrapper
47 48 49 50 |
# File 'lib/procreate/swatches/parser.rb', line 47 def call unzip wrap_colors end |


The scope of this project far exceeds this hackathon. Bearing this in mind I am submitting a sample app that demonstrates more of a proof of concept.
{{ notification.body }}
The vision of notify is to be able to create and schedule custom notifications on every platform in one place. The idea came to me when I was frustrated with to-do app notifications, I was setting up my to-do's each day but would only get notified on one platform.
I still want to explore some features which are not in the app above. Such as being able to schedule a notification for a specific platform, date and time selection, and using device gestures.
The reason why I say the project is out of scope of this hackathon is that I plan on pursuing this idea and releasing the app on multiple platforms in the coming months.
Although basic I hope the app gives you an idea of what I'm going for. Given I had more time I would implement:


We wantsss it.
We needsss it.
Must have the preciousss.
They stole it from usss.
Sneakyy littlee Hobbitsess.
Wicked! Tricksy, Falseee
No? Not master.
Yesss, preciousss.
Falseee!
They will cheat youu, hurt youu, Lie!
Master's my friend.
You don't have any friendsss.
Nobody likesss you.
Not listening.
I'm not listening.

Go away.

Where would you be without me?
Gollum
Gollum
I saved usss.
It was me.
We survived because of me!
Not anymore.
What did you say?
Master looks after us now.
We don't need you.
What?

[Growls]
Leave now and never come back!
[unbelievable Silence]
We told him to go away.
And away he goess, preciouss
Gone! Gone! Gone!
Smeagol is freeeeee!


Note: This test library is dependent on timing. If the timing tests are failing, it may be because your device is too slow or unable to handle numerous simutaneous JavaScript timeouts. Some browsers also add spaces in weird places which may result in false negatives.
| Test Description | DOT Markup | Expected | Result | Pass/Fail |
|---|---|---|---|---|
| Core Functionality | ||||
| Write to target. | dot("#test1").empty().h("PASS"); | N/A | N/A | PENDING |
| Write to Node. | dot(document.getElementById("test2")).empty().h("PASS"); | N/A | N/A | PENDING |
| Write to NodeList. | dot(document.getElementById("test3")).empty().h("PASS"); | N/A | N/A | PENDING |
| Has all tags supported by browser. | N/A | N/A | N/A | PENDING |


{% extends "simple.html" %} {% block body %}
In some browsers, even though stylesheets don't block downloads, a stylesheet followed by an inline script will block subsequent downloads. This page tests that situation by including a stylesheet followed by an inline script followed by an image. The stylesheet and image each take 4 seconds to return. If the page loads in under 8 seconds, it means the stylesheet and inline script combination did not block downloads.
{% endblock %}


Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes (GPs) with jumps to the limiting linear model (LLM). Special cases also implemented include Bayesian linear models, CART, treed linear models, stationary separable and isotropic GPs, and GP single-index models. Provides 1-d and 2-d plotting functions (with projection and slice capabilities) and tree drawing, designed for visualization of tgp-class output. Sensitivity analysis and multi-resolution models are supported. Sequential experimental design and adaptive sampling functions are also provided, including ALM, ALC, and expected improvement. The latter supports derivative-free optimization of noisy black-box functions.
| Version: | 2.4-14 |
| Depends: | R (≥ 2.14.0) |
| Imports: | maptree |
| Suggests: | MASS |
| Published: | 2016-02-07 |
| Author: | Robert B. Gramacy and Matt A. Taddy |
| Maintainer: | Robert B. Gramacy <rbgramacy at chicagobooth.edu> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
| URL: | http://bobby.gramacy.com/r_packages/tgp |
| NeedsCompilation: | yes |
| Citation: | tgp citation info |
| Materials: | README ChangeLog |
| In views: | Bayesian, ExperimentalDesign, MachineLearning, Spatial |
| CRAN checks: | tgp results |
| Reference manual: | tgp.pdf |
| Vignettes: |
a guide to the tgp package new features in tgp version 2.x |
| Package source: | tgp_2.4-14.tar.gz |
| Windows binaries: | r-devel: tgp_2.4-14.zip, r-release: tgp_2.4-14.zip, r-oldrel: tgp_2.4-14.zip |
| OS X binaries: | r-release: tgp_2.4-14.tgz, r-oldrel: tgp_2.4-14.tgz |
| Old sources: | tgp archive |
| Reverse depends: | earlywarnings, plgp |
| Reverse imports: | c060, CityWaterBalance, laGP, penalizedSVM, RNCEP |
| Reverse suggests: | BayesTreePrior, dynaTree, IGP, mlr, rmi |
Please use the canonical form https://CRAN.R-project.org/package=tgp to link to this page.


Web App Seed Project
Home
About
Contact
Hello World
This is a starting point for your web app. Now go ahead and delete this line.


We're sorry but my-app doesn't work properly without JavaScript enabled. Please enable it to continue.


Fallacies of the tech recruitment process
Note: I would like to thank @gbarrs for reviewing my blog post almost instantly, and also the offer of @GraemeF, @MarkRendle, @swaggerdmangene and @moldyseaswimmer to be a reviewer. Without them, there would be a lot more Dunglish in this post...
Why I like my job.
I have been hooked into computers ever since I wrote my first few lines of Basic on my mothers' brand new TRS-80 Model 3 with 64Kb of ram and 2 - yes 2 !!! - diskdrives of a whopping 178Kb. (Actually, I did not write the code, but I copied it character by character from a textbook that might have looked like this, but in my defense, I was about 7 years old).
The first program probably looked like this:
10 PRINT "HI, WHAT IS YOUR NAME?"
20 INPUT N$
30 PRINT "HELLO, ",N$
Exciting, is it not? In the five years that followed, I learned almost every in and out of this machine, where to peek and poke in memory, how to set pixels on the screen (monochrome, 128x48 resolution, imagine that), which ASCII codes to send to my dot matrix printer to switch control modes, ...
When I was about twelve years old, I had written a drawing application, complete with circles, boxes, Bresenham lines, and even the possibility to print the graphics on the (very noisy) dot matrix printer (remember those printers which had to print on chained paper?).
Then we got our first 80286, an IBM-compatible PC that ran at a mind-boggling speed of 16 Mhz, with 4 megs of memory and a color VGA screen... A screen buffer of 320x200 pixels with 256 colors was available directly by poking at the #A000 segment, and we discovered a whole brave new world out there using color pallette rotation, and apps like Deluxe Paint. We even managed to do blitting by reprogramming the VGA-card directly by poking video card ports and bypassing BIOS...
As years progressed I got involved in the Belgian BBS/hacking/cracking scene, but after one of our fellow BBS's got all his material confiscated, we decided to focus on the demo scene, as we had some experience writing some "cool intros" for our and other BBS's.
In the demo scene, we were not very succesfull, but we did have a lot of fun. (This was the pre-internet-era folks, so figuring out how to write a software 3D rasterizer from disassembling other demo 'exe' files was a bit of a challenge. The example below was one of those demos we completely disassembled to figure out how everything worked.)
The biggest achievement that is now still traceable would probably be the fact that I did manage to come second in a 4K assembler demo on a demo party in Mons (Which is now, in the hardware-accelerated era, probably pretty unspectacular) .
Fast forward to a few years later...
I walked a very diverse path, both in programming languages (e.g. all kinds of Basic, Turbo Pascal, x86 assembly, C, C++, C--, (PL/Transact)-SQL, Smalltalk, lua, ruby, shell scripts, C#, some 4GL's and probably a dozen of others), in platforms (pre-PC area, Windows, *nix , VMS, AS400, ...) as well as in my career (Oracle dev/DBA, C++ dev, c# dev, ICT manager, technical analist, independent consultant).
As I got involved with .Net (I wrote my first app framework when independent using a Beta of .Net 1.0), I started focussing on this new thing, first Winforms, and afterwards ASP.NET, and finally ASP.NET MVC.
I skipped things like Silverlight, WCF, WWF and XAML as they all seemed way to much overhead for achieving something to me.
However, in the last few years I started realizing something...
If you focus on the tech stack, you are focussing on the wrong thing!
Spending all those years behind a PC and the last 15 years interacting with both business and development, I started realizing the biggest problem is not in the tech stack, but it is in the interaction between business and technology that the biggest problems occur.
From my numerous experiences with all those different environments, I know by experience that learning a new tech thing usually takes somewhere between a week and a few months before you can be productive (becoming an expert is a different thing, but that is not what I am referring to here).
The hardest part is not in the tech, but it is in learning how to scope, plan and build software that matches the business' expectations. That is something one cannot learn in a few weeks, let alone months.
This is exactly the reason why I read numerous business books every year, and have taken several sabatticals of a few months studying new things (more specific: Behaviour Driven Development, Domain Driven Design including the Command-Query responsibility Seggregation thing, as well as the whole Lean startup development process).
I did make some mistakes in the past, but hey, I am learning from them... (On a side-note, you should really check out this blog post from Seth Godin about the difference between a failure and a mistake.)
"What does this have to do with the tech recruitment process?"
The last few years all my business leads came from my personal or online network. Some experiences turned out pretty good, and some a bit less.
Unfortunately, my current client's project got delayed for a few months at first, and cancelled afterwards by his customer, so I am currently short on leads. (Luckily they are now giving me the opportunity to migrate them from a waterfall to a more scrum-like approach, so I am not quite broke yet; however, the job ends this month.)
As I got short on leads, I decided to accellerate my job/project search using companies that play an intermediate between me and the customer, and I was flabbergasted by most of them...
Most recruiters just seem to play "Keyword lottery"
People from my personal/social network do not hire me because I know a certain tech stack, they hire me because they think I am capable of solving the problem they have.
However, almost every recruiter that contacts me - the exceptions know who they are - just search their database for keywords, and contact you based on those keywords. In the rare case that you do get asked some technical questions, the interviewers either do not know anything about the subject, or they start asking questions about the things irrelevant to the job.
In my experience this keyword approach is as usefull as taking an asprin when your leg is broken. Here is an excerpt from a recent conversation I had with Szymon Pobiega on twitter:
@tojans Same for any technology, approach and methodology. Juniors tend to write they are experts if they heard a buzzword more than 3 times
— Szymon Pobiega (@SzymonPobiega) november 15, 2012
Every single recruiter I talk to talks about how they would like to bond and invest into people, and really contribute and build a relationship, so I point them to my blog, and tell them this is exactly who I am. However, almost nobody - again, some exceptions - decided to invest in me by reading the blog and finding out what my exact profile is.
There are exceptions to this rule, and some even go a long way to acquire your trust and confidence, for example the story of github recruitment comes to my mind; who would not love to be treated like that?
After doing lots of job interviews, this sounds like Walhalla: the @github hiring experience github.com/blog/1269-the-…" /via @jacopretorius
— Tom Janssens (@ToJans) november 16, 2012
Closing up
I intended to make this a short post (i.e. 1K words), as it was more of a rant then a true essay, but as usual I am having a hard time respecting the limit.
I hope I did not blow any of my own bridges by writing this post, but I find this whole recruiter thing rather frustrating, as the business model for most of them seems to evolve around introducing as many candidates as possible to as many potential customers as possible, filtering only by keywords...
As the globalization and "enterprise consumerization" continues, I assume the world will evolve into an interconnected network of people first and organizations second, so I think that recruitment organizations that are simply focusing on getting the most contracts by using pure volume will not manage to survive in the future. (Maybe they should try reading the Agile manifesto.)
Once again I will close this blog post with a quote:
"The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge." - Stephen Hawking


|
| | TimerHandle () noexcept |
| | Default constructor which creates an invalid object. More...
|
| |
| | ~TimerHandle () noexcept |
| | Destroying the TimerHandle also deletes it from the TimerManager's timer allocation queue. More...
|
| |
| | TimerHandle (TimerHandle &&rhs) noexcept |
| | Move Constructor. More...
|
| |
| TimerHandle & | operator= (TimerHandle &&rhs) noexcept |
| | Move assignment operator. More...
|
| |
| | TimerHandle (const TimerHandle &)=delete |
| | Delete the copy constructor. More...
|
| |
| const TimerHandle & | operator= (const TimerHandle &)=delete |
| | Delete the copy assignment operator. More...
|
| |
| bool | valid () const noexcept |
| | Check if the TimerHandle is valid. More...
|
| |
| | operator bool () const noexcept |
| | Operator bool checks validity. More...
|
| |
| void | destroy () noexcept |
| | Destroy the TimerHandle. More...
|
| |
| bool | cancel () noexcept |
| | Cancel a software timer. More...
|
| |
| template<typename TRep , typename TPeriod > |
| void | asyncDelay (const std::chrono::duration< TRep, TPeriod > &delay, const TTimeoutCallback &func) noexcept |
| | Configure a one-shot delay. More...
|
| |
| template<typename TRep , typename TPeriod > |
| void | asyncDelay (const std::chrono::duration< TRep, TPeriod > &delay, TTimeoutCallback &&func) noexcept |
| | Configure a one-shot delay. More...
|
| |
| template<typename TRep , typename TPeriod > |
| void | periodicDelay (const std::chrono::duration< TRep, TPeriod > &delay, const TTimeoutCallback &func) noexcept |
| | Configure a periodic delay. More...
|
| |
| template<typename TRep , typename TPeriod > |
| void | periodicDelay (const std::chrono::duration< TRep, TPeriod > &delay, TTimeoutCallback &&func) noexcept |
| | Configure a periodic delay. More...
|
| |
template<const size_t TMaxTimers = 0, typename TLock = embutil::nop_lock, typename TTimeUnit = embvm::timer::timer_period_t, typename TTimeoutCallback = stdext::inplace_function<void()>, typename TTimerDevice = embvm::timer::Timer>
class embvm::TimerManager< TMaxTimers, TLock, TTimeUnit, TTimeoutCallback, TTimerDevice >::TimerHandle
Handle to a software timer.
TimerHandle represents a handle to an event registration. TimerHandle are created during the TimerManager::allocate() process.
The handle is used to schedule delays:
h.asyncDelay(std::chrono::milliseconds(1), cb_called);
The lifetime of the TimerHandle controls the lifetime of the software timer. If the handle leaves scope, the timer will be automatically unregistered.
Template parameters simply match those in the original TimerManager declaration, since TimerHandle is a class member.
template<const size_t TMaxTimers = 0, typename TLock = embutil::nop_lock, typename TTimeUnit = embvm::timer::timer_period_t, typename TTimeoutCallback = stdext::inplace_function<void()>, typename TTimerDevice = embvm::timer::Timer>
template<typename TRep , typename TPeriod >
| void embvm::TimerManager< TMaxTimers, TLock, TTimeUnit, TTimeoutCallback, TTimerDevice >::TimerHandle::asyncDelay |
( |
const std::chrono::duration< TRep, TPeriod > & |
delay, |
|
|
const TTimeoutCallback & |
func |
|
) |
| |
|
inlinenoexcept |
Configure a one-shot delay.
Configure the software timer to perform a one-shot asynchronous delay. When the timer expires, the callback will be called. The timer will be removed from the scheduled queue.
- Precondition
- The TimerHandle is valid.
- Postcondition
- The periodic delay is scheduled.
The following template parameters should be automatically deduced by the compiler:
- Template Parameters
-
| TRep | Underlying storage type (representation) for the time units (e.g., uint32_t, uint64_t) |
| TPeriod | A std::ratio representing the tick period (e.g., std::nano) |
- Parameters
-
| [in] | delay | std::chrono::duration representing the periodic timeout value delta. For example: std::chrono::duration<uint64_t, std::nano> delay = std::chrono::nanoseconds(1000); |
| [in] | func | Function object that will be registered as the software timer callback. |
References assert, and embvm::timer::oneshot.
template<const size_t TMaxTimers = 0, typename TLock = embutil::nop_lock, typename TTimeUnit = embvm::timer::timer_period_t, typename TTimeoutCallback = stdext::inplace_function<void()>, typename TTimerDevice = embvm::timer::Timer>
template<typename TRep , typename TPeriod >
| void embvm::TimerManager< TMaxTimers, TLock, TTimeUnit, TTimeoutCallback, TTimerDevice >::TimerHandle::asyncDelay |
( |
const std::chrono::duration< TRep, TPeriod > & |
delay, |
|
|
TTimeoutCallback && |
func |
|
) |
| |
|
inlinenoexcept |
Configure a one-shot delay.
Configure the software timer to perform a one-shot asynchronous delay. When the timer expires, the callback will be called. The timer will be removed from the scheduled queue.
- Precondition
- The TimerHandle is valid.
- Postcondition
- The periodic delay is scheduled.
The following template parameters should be automatically deduced by the compiler:
- Template Parameters
-
| TRep | Underlying storage type (representation) for the time units (e.g., uint32_t, uint64_t) |
| TPeriod | A std::ratio representing the tick period (e.g., std::nano) |
- Parameters
-
| [in] | delay | std::chrono::duration representing the periodic timeout value delta. For example: std::chrono::duration<uint64_t, std::nano> delay = std::chrono::nanoseconds(1000); |
| [in] | func | R-value function object that will be registered as the software timer callback. |
References assert, and embvm::timer::oneshot.
template<const size_t TMaxTimers = 0, typename TLock = embutil::nop_lock, typename TTimeUnit = embvm::timer::timer_period_t, typename TTimeoutCallback = stdext::inplace_function<void()>, typename TTimerDevice = embvm::timer::Timer>
Cancel a software timer.
Request cancellation for a software timer. The cancellation request is best-effort, and the timer may expire before the request is completed.
- Precondition
- The TimerHandle is valid
- Postcondition
- The timer is cancelled, or has expired before cancellation was carried out.
- Returns
- True if the timer was cancelled, false if the timer expired before cancellation.
References assert.
template<const size_t TMaxTimers = 0, typename TLock = embutil::nop_lock, typename TTimeUnit = embvm::timer::timer_period_t, typename TTimeoutCallback = stdext::inplace_function<void()>, typename TTimerDevice = embvm::timer::Timer>
| void embvm::TimerManager< TMaxTimers, TLock, TTimeUnit, TTimeoutCallback, TTimerDevice >::TimerHandle::destroy |
( |
| ) |
|
|
inlinenoexcept |
template<const size_t TMaxTimers = 0, typename TLock = embutil::nop_lock, typename TTimeUnit = embvm::timer::timer_period_t, typename TTimeoutCallback = stdext::inplace_function<void()>, typename TTimerDevice = embvm::timer::Timer>
| embvm::TimerManager< TMaxTimers, TLock, TTimeUnit, TTimeoutCallback, TTimerDevice >::TimerHandle::operator bool |
( |
| ) |
const |
|
inlinenoexcept |
Operator bool checks validity.
Operator bool() is used to check that a TimerHandle is valid.
- Returns
- true if the TimerHandle is valid, false otherwise
template<const size_t TMaxTimers = 0, typename TLock = embutil::nop_lock, typename TTimeUnit = embvm::timer::timer_period_t, typename TTimeoutCallback = stdext::inplace_function<void()>, typename TTimerDevice = embvm::timer::Timer>
template<typename TRep , typename TPeriod >
| void embvm::TimerManager< TMaxTimers, TLock, TTimeUnit, TTimeoutCallback, TTimerDevice >::TimerHandle::periodicDelay |
( |
const std::chrono::duration< TRep, TPeriod > & |
delay, |
|
|
const TTimeoutCallback & |
func |
|
) |
| |
|
inlinenoexcept |
Configure a periodic delay.
Configure the software timer to perform a periodic delay. When the timer expires, the callback will be called adn the timer will be automatically re-added to the scheduled timer queue.
- Precondition
- The TimerHandle is valid.
- Postcondition
- The periodic delay is scheduled.
The following template parameters should be automatically deduced by the compiler:
- Template Parameters
-
| TRep | Underlying storage type (representation) for the time units (e.g., uint32_t, uint64_t) |
| TPeriod | A std::ratio representing the tick period (e.g., std::nano) |
- Parameters
-
| [in] | delay | std::chrono::duration representing the periodic timeout value delta. For example: std::chrono::duration<uint64_t, std::nano> delay = std::chrono::nanoseconds(1000); |
| [in] | func | Function object that will be registered as the software timer callback. |
References assert, and embvm::timer::periodic.
template<const size_t TMaxTimers = 0, typename TLock = embutil::nop_lock, typename TTimeUnit = embvm::timer::timer_period_t, typename TTimeoutCallback = stdext::inplace_function<void()>, typename TTimerDevice = embvm::timer::Timer>
template<typename TRep , typename TPeriod >
| void embvm::TimerManager< TMaxTimers, TLock, TTimeUnit, TTimeoutCallback, TTimerDevice >::TimerHandle::periodicDelay |
( |
const std::chrono::duration< TRep, TPeriod > & |
delay, |
|
|
TTimeoutCallback && |
func |
|
) |
| |
|
inlinenoexcept |
Configure a periodic delay.
Configure the software timer to perform a periodic delay. When the timer expires, the callback will be called adn the timer will be automatically re-added to the scheduled timer queue.
- Precondition
- The TimerHandle is valid.
- Postcondition
- The periodic delay is scheduled.
The following template parameters should be automatically deduced by the compiler:
- Template Parameters
-
| TRep | Underlying storage type (representation) for the time units (e.g., uint32_t, uint64_t) |
| TPeriod | A std::ratio representing the tick period (e.g., std::nano) |
- Parameters
-
| [in] | delay | std::chrono::duration representing the periodic timeout value delta. For example: std::chrono::duration<uint64_t, std::nano> delay = std::chrono::nanoseconds(1000); |
| [in] | func | R-value function object that will be registered as the software timer callback. |
References assert, and embvm::timer::periodic.


If you see this page, the nginx web server is successfully installed and working. Further configuration is required.
source: http://www.planwallpaper.com/static/images/Joker-Batman-DC-Movie-Universe.jpg


--- layout: post title: Dove Color Rescue Shampoo, Conditioner & Dove Intense Repair Treatment Mask tags: - Dove status: publish type: post published: true meta: _edit_last: '2' _aioseop_keywords: Dove Color Rescue Shampoo, Conditioner & Dove Intense Repair Treatment Mask review _aioseop_title: Dove Color Rescue Shampoo Conditioner & Dove Intense Repair Treatment Mask review _yoast_wpseo_linkdex: '0' _yoast_wpseo_focuskw: '' _thumbnail_id: '4460' _yoast_wpseo_title: '' _yoast_wpseo_metadesc: '' _yoast_wpseo_metakeywords: '' _yoast_wpseo_meta-robots-noindex: '0' _yoast_wpseo_meta-robots-nofollow: '0' _yoast_wpseo_meta-robots-adv: none _yoast_wpseo_sitemap-include: ! '-' _yoast_wpseo_sitemap-prio: ! '-' _yoast_wpseo_canonical: '' _yoast_wpseo_redirect: '' ---
Taking care of colored hair can be so tricky sometimes, for me its a very hard task.. because I need to use scalp oil control shampoos and yet take care of my colored locks, hence I always end up exploiting the color in my hair.
Note: Worst was when I first got my highlights done at Lakme, I have developed serious gray hair issues. If you are planning to get your hair colored make sure, you know how coloring works. If one of the steps involved is bleaching just stay away.
As I was saying, my previous experience with color protect products has not been very great or legendary, then I received the Dove Range my perception is slightly changed, not completely but yeah slightly.
I love the creamy shampoo, which smells good and lathers well and does take care of color to an extent. My scalp is sensitive to harsh chemicals, over drying shampoos leave me with oily scalp in 10-12 hours and frizzy ends :sad:, but this one did worked perfectly for my thin and weak hair.
Conditioner was quite ok, it did not provide enough moisture, so I had to use the Dove dry hair treatment. And the combo is rocking.
I will definitely recommend this shampoo to all ladies, irrespective of hair and scalp type, but conditioner to gals with normal to oily/silky hair. Better opt for a better conditioner, I am still on a lookout for a great conditioner, which protects color, provides moisture, gives volume.... too much to ask :greedy me: But one day I shall find my HG conditioner... one day...
Which is your favorite product to protect colored hair ?
*Dove Color Rescue Shampoo and conditioner were provided by the company as a launch event, but my opinion is honest... promise :)


{% load staticfiles %}
FRCScouting is open source About - Contact - Licenses - Privacy - Report a Bug


Are you sure you would like to delete the connector configuration {{ configuration.name }} ({{ configuration.connectorName }})?
This action invalidates the connected bpmn models, too.
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--- title: Coming tablet price wars date: '2010-10-05T14:43:05+05:30' tags: - business tumblr_url: https://sureshshanmugam.com/post/1248226610/coming-tablet-price-wars ---
How much does Apple spends on the iPad hardware?
Recently introduced AppleTV has the A4 chip along with wireless chip and 8GB flash memory. This teardown at iFixit shows the internals of this device is very similar to an iPad.
This implies that except the display and associated driving chips, Apple’s cost on iPad could be way below $99. There are median of several estimates for the cost of iPad display is about $150.
With announcements of other tablet devices, Apple could really take them on the price game. They already have immense purchasing power in flash and display market.
Apple could most probably stick with current prices and add more powerful chips. We could see the iPod story repeat in the tablet market.


Conv1D
1D convolution layer (e.g. temporal convolution).
tf.compat.v1.keras.layers.Conv1D
tf.compat.v1.keras.layers.Convolution1D
tf.compat.v2.keras.layers.Conv1D
tf.compat.v2.keras.layers.Convolution1D
tf.keras.layers.Convolution1D
This layer creates a convolution kernel that is convolved
with the layer input over a single spatial (or temporal) dimension
to produce a tensor of outputs.
If use_bias
is True, a bias vector is created and added to the outputs.
Finally, if activation
is not None
,
it is applied to the outputs as well.
When using this layer as the first layer in a model,
provide an input_shape
argument
(tuple of integers or None
, e.g.
(10, 128)
for sequences of 10 vectors of 128-dimensional vectors,
or (None, 128)
for variable-length sequences of 128-dimensional vectors.
filters
: Integer, the dimensionality of the output space
(i.e. the number of output filters in the convolution).kernel_size
: An integer or tuple/list of a single integer,
specifying the length of the 1D convolution window.strides
: An integer or tuple/list of a single integer,
specifying the stride length of the convolution.
Specifying any stride value != 1 is incompatible with specifying
any dilation_rate
value != 1.padding
: One of "valid"
, "causal"
or "same"
(case-insensitive).
"causal"
results in causal (dilated) convolutions, e.g. output[t]
does not depend on input[t+1:]. Useful when modeling temporal data
where the model should not violate the temporal order.
See WaveNet: A Generative Model for Raw Audio, section
2.1.data_format
: A string,
one of channels_last
(default) or channels_first
.dilation_rate
: an integer or tuple/list of a single integer, specifying
the dilation rate to use for dilated convolution.
Currently, specifying any dilation_rate
value != 1 is
incompatible with specifying any strides
value != 1.activation
: Activation function to use.
If you don't specify anything, no activation is applied
(ie. "linear" activation: a(x) = x
).use_bias
: Boolean, whether the layer uses a bias vector.kernel_initializer
: Initializer for the kernel
weights matrix.bias_initializer
: Initializer for the bias vector.kernel_regularizer
: Regularizer function applied to
the kernel
weights matrix.bias_regularizer
: Regularizer function applied to the bias vector.activity_regularizer
: Regularizer function applied to
the output of the layer (its "activation")..kernel_constraint
: Constraint function applied to the kernel matrix.bias_constraint
: Constraint function applied to the bias vector.# Small convolutional model for 128-length vectors with 6 timesteps # model.input_shape == (None, 6, 128) model = Sequential() model.add(Conv1D(32, 3, activation='relu', input_shape=(6, 128))) # now: model.output_shape == (None, 4, 32)
3D tensor with shape: (batch_size, steps, input_dim)
3D tensor with shape: (batch_size, new_steps, filters)
steps
value might have changed due to padding or strides.
__init__
__init__( filters, kernel_size, strides=1, padding='valid', data_format='channels_last', dilation_rate=1, activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None, **kwargs )


TaskList
- ✓ Uncompleted tasks
- ✓ Not more than 3 in progress
Task
- ✓ Invalid priority
- ✓ Priority
- ✓ Invalid task
- ✓ Task
- ✓ Size empty returning exception
- ✓ Size is numeric
- ✓ Group empty returning exception
- ✓ Group is numeric
- ✓ Status empty returning exception
- ✓ Status not 1 or 2 returns exception


#include <base_object.h>
Public Member Functions | |
| base_object (kernel &k) | |
Protected Member Functions | |
| void | connect_update () |
| void | connect_render () |
| void | connect_touch_input (space s) |
| virtual void | update (const clock_info &clock) |
| virtual void | render (const clock_info &clock) |
| virtual void | touch_input_began (space s, const std::vector< touch > &touches) |
| virtual void | touch_input_moved (space s, const std::vector< touch > &touches) |
| virtual void | touch_input_ended (space s, const std::vector< touch > &touches) |
Protected Attributes | |
| kernel & | kernel_ |
Friends | |
| class | kernel |
Base class for all objects in x2d
| x2d::base_object::base_object | ( | kernel & | k | ) | [inline] |
| [in] | k | The kernel |
| void x2d::base_object::connect_render | ( | ) | [inline, protected] |
Used to connect the render function to the kernel. Should be invoked in the constructor of a child class.
| void x2d::base_object::connect_touch_input | ( | space | s | ) | [inline, protected] |
Used to connect the touch_input function to the kernel. Should be invoked in the constructor of a child class. Can be invoked multiple times, once for each space.
| void x2d::base_object::connect_update | ( | ) | [inline, protected] |
Used to connect the update function to the kernel. Should be invoked in the constructor of a child class.
| virtual void x2d::base_object::render | ( | const clock_info & | clock | ) | [inline, protected, virtual] |
Base render function. Override this if you need rendering. Don't forget to connect.
Reimplemented in x2d::object.
| virtual void x2d::base_object::touch_input_began | ( | space | s, | |
| const std::vector< touch > & | touches | |||
| ) | [inline, protected, virtual] |
Touch input began receiver. One can connect multiple receivers for different spaces. Don't forget to connect.
| virtual void x2d::base_object::touch_input_ended | ( | space | s, | |
| const std::vector< touch > & | touches | |||
| ) | [inline, protected, virtual] |
Touch input ended receiver. One can connect multiple receivers for different spaces. Don't forget to connect.
| virtual void x2d::base_object::touch_input_moved | ( | space | s, | |
| const std::vector< touch > & | touches | |||
| ) | [inline, protected, virtual] |
Touch input moved receiver. One can connect multiple receivers for different spaces. Don't forget to connect.
| virtual void x2d::base_object::update | ( | const clock_info & | clock | ) | [inline, protected, virtual] |
Base update function. Override this if you need updates. Don't forget to connect.
Reimplemented in x2d::object.


A simple table with sorting when clicking on column names.
A table with formatting. A DateTime is formatted as a month, and a price is in currency formatted.
A table with formatting and row numbers. A DateTime is formatted as a month, and a price is in currency formatted.
A simple table with an export button.
A simple table with null values.


Fits multiple transects at a single location with a single line. Inputs are number of files (z) and data matrix (Z)(see ReadFiles.m). Outputs are the intercept (b) and slope (b) of the best fit line. (adapted from code by J. Czuba) P.R. Jackson, USGS, 12-9-08
0001 function [m,b] = VMT_MeanXSLine(z,A) 0002 % Fits multiple transects at a single location with a single line. Inputs 0003 % are number of files (z) and data matrix (Z)(see ReadFiles.m). Outputs are 0004 % the intercept (b) and slope (b) of the best fit line. 0005 % 0006 % (adapted from code by J. Czuba) 0007 % 0008 % P.R. Jackson, USGS, 12-9-08 0009 0010 0011 0012 %% Determine the best fit mean cross-section line from multiple transects 0013 % initialize vectors for concatenation 0014 0015 x = []; 0016 y = []; 0017 0018 for zi = 1 : z 0019 0020 % concatenate long and lat into a single column vector for regression 0021 x=cat(1,x,A(zi).Comp.xUTM); 0022 y=cat(1,y,A(zi).Comp.yUTM); 0023 0024 plot(A(zi).Comp.xUTM,A(zi).Comp.yUTM,'r') 0025 plot(A(zi).Comp.xUTMraw,A(zi).Comp.yUTMraw,'b') 0026 0027 end 0028 0029 % find the equation of the best fit line 0030 whichstats = {'tstat','yhat'}; 0031 stats = regstats(y,x,'linear', whichstats); 0032 0033 % mean cross-section line slope and intercept 0034 V.m = stats.tstat.beta(2); 0035 V.b = stats.tstat.beta(1); 0036 0037 clear x y stats whichstats zi


-
inputId - Id will be added to input element of
search field.
-
searchInputClass - Css class name will be added to search
<input> tag in search component.
-
prefix - Html template code for prefix before input
form field (can use for label for example) (TemplateRef).
-
suffix - Html template code for suffix after input
form field (can use as error notification for example) (TemplateRef).
-
disabled - Set input form field as disabled
dynamically (boolean).
-
placeholder - For Define input form field placeholder.
-
dataFromExternalControl - Api for use other form
control as search field.
-
usedExternalControl - The default search control
will not be shown. Use dataFromExternalControl parameter for send
search string in table params request (boolean).


☰
Demo Console
(current)
Instructions
{% block content %} {% endblock %}
© 2016, Ironsides Technology LLC.


#include <nn_ops.h>
Computes softmax cross entropy cost and gradients to backpropagate.
Unlike SoftmaxCrossEntropyWithLogits
, this operation does not accept a matrix of label probabilities, but rather a single label per row of features. This label is considered to have probability 1.0 for the given row.
Inputs are the logits, not probabilities.
Arguments:
Returns:
Output
loss: Per example loss (batch_size vector).Output
backprop: backpropagated gradients (batch_size x num_classes matrix).
Constructors and Destructors |
|
|---|---|
SparseSoftmaxCrossEntropyWithLogits(const ::tensorflow::Scope & scope, ::tensorflow::Input features, ::tensorflow::Input labels)
|
Public attributes |
|
|---|---|
backprop
|
|
loss
|
|
operation
|
::tensorflow::Output backprop
::tensorflow::Output loss
Operation operation
SparseSoftmaxCrossEntropyWithLogits( const ::tensorflow::Scope & scope, ::tensorflow::Input features, ::tensorflow::Input labels )