Functions¶
astro_functions¶
-
astrolyze.functions.astro_functions.
LTIR
(p2, kappa='Kruegel', xmin=3.0, xmax=1100.0, beamConv=True, distance=847000.0, unit='JyB')[source] Integration of a multi-component greybody model.
Parameters: - p2 (list) – The parameters defining the multi-component greybody model. Same format
as p in
astrolyze.functions.astroFunctions.multi_component_grey_body()
- kappa (string) – The dust extinction coefficient used to describe the greybodies. See: py:func:grey_body
- xmax (xmin,) – The integration range in units of micron. Defaults to 3 – 110 micron. The definition of LTIR from [DA]
- beamConv (True or False) – For units in Lsun the code is not well written. Hardcoded conversion between an 28” and 40” beam. !! CHANGE !!
- unit (string) – If
'Lsun'
the returned integrated flux is in units of solar luminosities (erg s^-1). For this a distance is needed. If'JyB'
the units are Jy/beam; distance is not used.
Notes
Needs some work to be generally usable. For units in Jy/beam the code seems to be safe.
References
[DA] Dale et al. 2001; ApJ; 549:215-227 - p2 (list) – The parameters defining the multi-component greybody model. Same format
as p in
-
astrolyze.functions.astro_functions.
analytic_linear_fit
(x, y, x_error, y_error)[source] This function resembles the analytical solution following chaper 8 from [TA].
Parameters: - x (float or list) – x measurements. Data.
- y (float or list) – y measurements. Data.
- y_error (float or list) – The y measurment errors.
- x_error (float or list) – The x measurment errors. If unset only errors in y are taken into account.
Notes
Without errors the following holds:
Warning
This has to be checked.
References
[TA] “An introduction to the study of uncertainties in physical measurement” by John R. Taylor.
-
astrolyze.functions.astro_functions.
anti_line
(p, y)[source] Inverse of a line returning the x value corresponding to a y value, i.e. x = y/m - b.
Parameters: p (list) – Contains the slope and the y-axis intersection of the line [m, b]. Returns: y Return type: value of x corresponding to y.
-
astrolyze.functions.astro_functions.
black_body
(x, T, nu_or_lambda='nu')[source] Calculation of the flux density of a black body at a temperature T and a wavelenght/frequency x.
Parameters: - x (float or numpy array) – wavelength [GHz] or frequency [micron]; specify type in nu_or_lambda
- T (float [Kelvin]) – Temperature of the black_body
- nu_or_lambda (string) – Specify whether x is a frequency
'nu'
or a wavelenght'lambda'
; default is'nu'
.
Returns: Flux density in Jansky
Return type: float [Jy]
Notes
This functions resembles the following formulas for input in frequency:
and for input in wavelenght:
Both formulas are scaled by 1e26, thus returning the flux in Jansky.
Examples
The function works with linear numpy arrays. Thus the black_body can be evaluated at many points at the same time. Using matplotlib it can also be plotted:
import numpy as np import matplotlib.pyplot as plt import astrolyze.functions.astro_functions as astFunc frequency_range = np.arange(1e4, 1e7, 1e4) temperature_1 = 6000 temperature_2 = 12000 # Kelvin blackbody_1 = astFunc.black_body(frequency_range, temperature_1) blackbody_2 = astFunc.black_body(frequency_range, temperature_2) figure = plt.figure() axis = figure.add_subplot(111) pl = axis.loglog(frequency_range, blackbody_1, label='T = 6000 K') pl = axis.loglog(frequency_range, blackbody_2, label='T = 12000 K') pl = axis.legend() plt.savefig('black_body.eps')
(Source code, png, hires.png, pdf)
-
astrolyze.functions.astro_functions.
calc_offset
(central_coordinate, offset_coordinate, angle=0, output_unit='farcsec')[source] Calculates the offset between two coordinates.
Parameters: - central_coordinate (list) – The reference coordinate in degrees or equatorial.
- offset_coordinate (list) – The second coordinate, the offset will be with rescpect to central_coordinate.
- angle (float) – The angle in degrees, allowing rotated systems.
Returns: rotated_offset – The offsets, rotated only if angle given.
Return type: list
Notes
This functions includes a correction of the RA offset with declination:
-
astrolyze.functions.astro_functions.
degrees_to_equatorial
(degrees)[source] Converts RA, DEC coordinates in degrees to equatorial notation.
Parameters: degrees (list) – The coordinates in degrees in the format of: [23.4825, 30.717222] Returns: equatorial – The coordinates in equatorial notation, e.g. corresponding [‘1:33:55.80’, ‘+30:43:2.00’]. Return type: list
-
astrolyze.functions.astro_functions.
equatorial_to_degrees
(equatorial)[source] Converts RA, DEC coordinates in equatorial notation to degrees.
Parameters: equatorial (list) – The coordinates in degress in equatorial notation, e.g. [‘1:33:55.80’, ‘+30:43:2.00’] Returns: degrees – The coordinates in degreees, e.g. [23.4825, 30.717222]. Return type: list Raises: SystemExit
– Ifequatorial
is not a list of strings in the above format.
-
astrolyze.functions.astro_functions.
freq_to_vel_resolution
(center_frequency, frequency_resolution)[source] Function to convert a frequency resolution to a velocity resolution for a given center frequency.
Parameters: - center_frequency (float) – Center frequency in GHz.
- frequency_resolution (float) – The frequency resolution in MHz.
Returns: Return type: velocity_resolution in km/s.
Notes
Uses the formula TODO v_LSR = c((nu0-nuObs)/nu0)
Approved!
-
astrolyze.functions.astro_functions.
frequency_to_wavelength
(frequency)[source] Converting frequency to wavelength.
Parameters: frequency (float [GHZ]) – Returns: wavelength Return type: float [micron]
-
astrolyze.functions.astro_functions.
gauss1D
(x, fwhm, offset=0, amplitude=1)[source] Calulcates 1D Gaussian.
Parameters: - x (float or numpy.ndarray) – the x-axis value/values where the Gaussian is to be caluclated.
- fwhm (float) – The width of the Gaussian.
- offset – The offset in x direction from 0. Default is 0.
- amplitude – The height of the Gaussian. Default is 1.
Returns: gauss – The y value for the specified Gaussian distribution evaluated at x.
Return type: float or np.ndarray
Notes
The function used to describe the Gaussian is:
-
astrolyze.functions.astro_functions.
gauss2D
(x, y, major, minor, pa=0, xOffset=0, yOffset=0, amplitude=1)[source] Calculates a 2D Gaussian at position x y.
Parameters: - x (float or numpy.ndarray) – the x-axis value/values where the Gaussian is to be caluclated.
- y (float or numpy.ndarray) – the y-axis value/values where the Gaussian is to be calculated.
- minor (major,) – The fwhm of the Gaussian in x and y direction.
- pa (float) – The position angle of the Gaussian in degrees. Default is 0.
- yOffset (xOffset,) – The offset in x and y direction from 0. Default is 0.
- amplitude – The height of the Gaussian. Default is 1.
Returns: gauss – The y value for the specified Gaussian distribution evaluated at x.
Return type: float or np.ndarray
Notes
The function used to describe the Gaussian is :
where:
-
astrolyze.functions.astro_functions.
generate_monte_carlo_data_line
(data, errors)[source] This function makes a Monte Carlo Simulation of a data Set of measurements it uses the random.gauss() function to generate a data point from a gauss distribution, that has a mean equal to the measurement and its standard deviation corresonding to the error of the measurement.
Parameters: - data (list) – A list of original measurements.
- errors (list) – A list of the corresponding errors.
Returns: newData – The monte carlo simulated measurement.
Return type: array in same format as data.
See also
random.gauss()
-
astrolyze.functions.astro_functions.
generate_monte_carlo_data_sed
(data)[source] MonteCarlo Simulation of a set of flux measurements, assuming that the measurement data follows a gauss distribution.
This function makes use of the
random.gauss()
function to generate a data point from a gauss distribution, that has a mean equal to the Flux measurement and a standard deviation correponding to the error of the measurement.Parameters: data (array) – - Same format as in grey_body_fit function:
- data= [[x1, x2, x3, ...][y1, y2, y3, ...][z1, z2, z3, ...]]
with x = wavelenght/frequency, y = flux, z = error on flux.
Returns: newData – The Monte-Carlo simulated measurement. Return type: array in same format as data. See also
random.gauss()
-
astrolyze.functions.astro_functions.
grey_body
(p, x, nu_or_lambda='nu', kappa='Kruegel', distance=840000.0)[source] Calculation of the flux density in Jansky of a grey_body under assumption of optically thin emission. Please see Notes below for an detailed description assumptions and equations used.
Parameters: - p (list) – List of the parameters defining a grey_body, being Temperature [K], column density or mass (dependent on the kappa used) and the grey_body slope index beta, respectively (refer to notes for more information): p = [T, N, beta]
- x (float or numpy array) – Wavelength [GHz] or frequency [micron]; specify type in nu_or_lambda
- kappa (string) –
- Chooses the dust extinction coefficient to use:
"easy"
-> kappa = nu^beta; tau = N * kappa"Kruegel"
-> kappa = 0.04*(nu/250Ghz)^beta; tau = M/D^2 * kappa
Please refer to Notes below, for further explanation.
- distance (float) – The distance to the source that is to be modeled if kappa
"Kruegel"
is used.
Other Parameters: nu_or_lambda (string) – Specify whether x is a frequency
'nu'
or a wavelength'lambda'
; default is'nu'
. if lambda the input converted to a frequency in [GHz].Notes
The general equation for a grey_body is:
describing the flux coming from an solid angle while is:
Here we assume optically thin emission and a source filling factor of unity. This simplifies the equation of the grey_body to:
This script supports two versions of the dust extinction coefficient.:: A simple version without a lot of physics put into, kappa =
'easy'
which defaults to the following grey_body equation:with N being a column density scaling factor.
The second version, kappa =
'Kruegel'
uses the dust extinction coefficient reported in [KS] which renders the used equation to:Examples
The same examples as for
black_body()
apply.References
[KS] Kruegel, E. & Siebenmorgen, R. 1994, A&A, 288, 929
-
astrolyze.functions.astro_functions.
grey_body_fit
(data, start_parameter, nu_or_lambda='nu', fit_beta=False, fix_temperature=False, rawChiSq=None, kappa='Kruegel', residuals=False, iterations=1000000000.0)[source] This function fits a multi component grey body model to an observed SED for the optical thin case.
Parameters: - data (array) – The obseved data. Array of shape(3, x) first row has to be the X values (Frequency in [GHz]) of the measurements, second row the Y values (Flux [Jy]), and the third row the Z values the errors on the fluxes i.e.: data = array([[X1, X2, X3, ...], [Y1, Y2, Y3,...], [Z1, Z2, Z3, ...]])
- start_parameter (array) – Array of a first guess of the parameters of the grey_body components. The number of components is arbitrary. start_parameter = [[T1, T2, T3,...], [N1, N2, N3, ...], beta]
- fit_beta (True or False) – If True Beta is allowed to vary. Default is False.
- fix_temperature (True or False) – If True the Temperature is fixed allowed to vary.
- rawChiSq – if None the function gives the reduced chisq Value. If True the function gives chisq without dividing it by the dof
Returns: - p2 (list) – The final grey_body parameters that reduce the least squares for the given dataset.
- chisq/rawChiSq – chisq is reduced chisq with degrees of freedom: dof= #dataPoints-#freeFitParameters-1
Other Parameters: nu_or_lambda (string) – Specify whether x is a frequency
'nu'
or a wavelenght'lambda'
; default is'nu'
.:: Don’t use'lambda'
as this part of thegrey_body()
is not up-to-date.See also
scipy.optimize.leastsq()
- This function is used to perform the least squares
fit.()
,multi_component_grey_body()
,grey_body()
,black_body()
,be()
Notes
A one component fit has four free parameters if beta is allowed to vary or three if beta is fixed (one more than parameters to fit). Each additional component adds two more free paramters to fit. Assure that: number of data points > number of free parameters.
-
astrolyze.functions.astro_functions.
grey_body_monte_carlo
(p, data, iterations)[source] Function to evaluate the errors in the parameters fitted with the grey_body_fit function.
It uses Monte Carlo Simulated data (from
generate_monte_carlo_data_sed()
) and performs a fit to this new data giving back the results of the fit parameters.Parameters: - p (list) – The parameters defining the multi component grey_body model to be
fitted. Same format as p in
multi_component_grey_body()
- data (array) – The actual measured data of the SED, same format as for
grey_body_fitFunction()
- iterations (int) – Number of times new data is generated and fitted.
Returns: - string – Containing the mean, standard deviation of the fit parameters, ready to print out.
- betaTlist (List of all fit results. Name misleading since it may not) – include the beta.
- p (list) – The parameters defining the multi component grey_body model to be
fitted. Same format as p in
-
astrolyze.functions.astro_functions.
line
(p, x)[source] Line y = m*x + b equation. Returns y value at point x.
Parameters: p (list) – Contains the slope and the y-axis intersection of the line [m, b]. Returns: y Return type: value of y corresponding to x.
-
astrolyze.functions.astro_functions.
line_fit
(p, x, y, y_error, x_error=False, iterations=10000)[source] Linear Fit to data, taking either errors in y or both in x and y into account.
Parameters: - p (list) – Containg slope (m) and y-axis intersection (b) p=[m, b]. Same as in
line()
andantiline()
. - x (float or list) – x measurements. Data.
- y (float or list) – y measurements. Data.
- y_error (float or list) – The y measurment errors.
- x_error (float or list) – The x measurment errors. If unset only errors in y are taken into account.
- p (list) – Containg slope (m) and y-axis intersection (b) p=[m, b]. Same as in
-
astrolyze.functions.astro_functions.
line_monte_carlo
(p, x, y, x_error, y_error, iterations, fitIterations=1000000000.0)[source] Gererate an estimate of the errors of the fitted parameters determined by the
line_fit()
function.Parameters: - p (list) – Containg slope (m) and y-axis intersection (b) p=[m, b]. Same as in
line()
andantiline()
. - x (float or list) – x measurements. Data.
- y (float or list) – y measurements. Data.
- y_error (float or list) – The y measurment errors.
- x_error (float or list) – The x measurment errors. If unset only errors in y are taken into account.
Returns: - string (A string containing the results.)
- BList (A list containing the fittet y-Axis intersections.)
- MList (A list containing the fitted slopes.)
- chisqList (A list with the chisq values.)
- resultArray (Array with the mean and the standard deviations of) – slopes and y-axis intersections, i.e. [mean(M), std(M), mean(B), std(B)]
See also
grey_body_fit()
,generate_monte_carlo_data_line()
- p (list) – Containg slope (m) and y-axis intersection (b) p=[m, b]. Same as in
-
astrolyze.functions.astro_functions.
linear_error_function
(p, x, y, y_error, x_error)[source] Error function, i.e. residual from the measured value, which has to be minimised in the least square fit taking X and Y Error into account.
Parameters: - p (list) – Same as in
line()
andanti_line()
. - x (float or list) – x measurements. Data.
- y (float or list) – y measurements. Data.
- x_error (float or list) – The x measurment errors.
- y_error (float or list) – The y measurment errors.
- p (list) – Same as in
-
astrolyze.functions.astro_functions.
multi_component_grey_body
(pMulti, x, nu_or_lambda='nu', kappa='Kruegel')[source] Combines multiple grey_body functions and returns the flux density in Jansky for the input frequency/wavelenght.
Parameters: - pMulti (nested lists) – Similar to p from
grey_body()
but the three entries are lists, i.e.:: pMulti = [[T1, T2, T3, ...Tn], [N1, N2, N3,...Nn], [beta]] - x (float or numpy array) – frequency [micron] (or wavelenght Not maintained, specify type in nu_or_lambda)
Returns: - sum(snu) (float) – All dust components summed.
- snu – A list with the fluxes of the individual components.
See also
black_body()
,grey_body()
Notes
Only one common beta for all components can be used. May be expanded to mutliple betas if needed.
Examples
Same as for black_body, but all returned grey_bodies may be plotted.
- pMulti (nested lists) – Similar to p from
-
astrolyze.functions.astro_functions.
redshifted_frequency
(rest_frequency, v_lsr)[source] Calculates the sky frequency corresponding to a rest frequency for a source with a velocity v_lsr.
Parameters: - rest_frequency (float) – The frequency of the line at rest in Ghz (More often state the obvious :)).
- v_lsr (float) – The velocity of the source in km/s.
Returns: redshifted_frequency – The sky frequency in GHz.
Return type: float
Notes
The formula used is:
Approved!
-
astrolyze.functions.astro_functions.
rotation_2d
(coordinate, angle)[source] Implementation of the rotation matrix in two dimensions.
Parameters: - coordinates (list of floats) – Coordinates in the unrotated system [x, y].
- angle (float) – The rotation angle
Returns: [x_rotated, y_rotated] – Coordinates in the rotated system.
Return type: list of floats
-
astrolyze.functions.astro_functions.
v_lsr
(center_frequency, observation_frequency)[source] Calculates the velocity that corresponds to a certain frequency shift between two frequencies.
Parameters: - center_frequency (float) – center_frequency in GHz
- observation_frequency (float) – The observation frequency in GHz.
Returns: v_lsr – The velocity corresponding to the frequency shift in km/s
Return type: float
Notes
Approved!
-
astrolyze.functions.astro_functions.
vel_to_freq_resolution
(center_frequency, velocity_resolution)[source] Converts a velocity resolution to frequency resolution for a given center frequency.
Parameters: - center_frequency (float) – Center frequency in GHz.
- velocity_resolution – Velocity resolution in km/s.
Returns: frequency_resolution – The corresponding frequency resolution in Mhz
Return type: float
Notes
Approved!
units¶
Constant unit conversions available in this module are:
# Constant conversion factors.
#==============> Approved !!! <==========================
WattToErgs = 1e7 # 1W = 1e7 erg/s
ErgsToWatt = 1e-7 # 1W = 1e-7 erg/s
JanskyToWatt = 1e-26 # 1Jy = 1e-26 W/m2/Hz
WattToJansky = 1e26 # 1W = 1 Jy * m2 * Hz
ErgsToJansky_cm = 1e23 # 1 erg/s = 1e23 Jy * cm2 * Hz * s
JanskyToErgs_cm = 1e-23 # 1 Jy = 1e-23 erg/s/cm2/Hz
ErgsToJansky_m = 1e19 # 1 erg/s = 1e-19 Jy * m2 * Hz * s
-
astrolyze.functions.units.
Int2Lum
(distance_in_pc, cm_or_m='cm')[source] Conversion factor to calculate luminosity from intensities by integrating over the sky 4 pi Distance^2.
Parameters: - distance_in_pc (float) – Distance to the source in parsecs.
- cm_or_m (string) – Choose wether the out put is in cm^2 =
'cm'
or in m^2 ='m'
.
Notes
Approved.
-
astrolyze.functions.units.
JyBToErgsB
(input_flux, distance, wavelength, invert=False, map_use=False)[source] Conversion between Jy/beam and ergs/beam.
Parameters: - input_flux (float) – Flux to be converted in Jy/beam
- distance (float) – Distance to the source in parsec.
- wavelength (float) – Wavelength in .
- map_use –
Returns: - The conversion factor (map_use = true) or the already converted flux
- (map_use = False).
- r
-
astrolyze.functions.units.
JyBToWKpc2
(input_flux, distance, major, minor, wavelength, invert=False, map_use=False)[source] Conversion from JyB to W kpc^-2.
Parameters: - input_flux (float) – Flux to be converted.
- distance (float) – Distance to source in parsec.
- major (float) – Major Axis Beam (arcsec).
- minor (float) – Minor Axis Beam(arcsec).
- wavelength (float) – Wavelenght in .
- invert (True or False) – Changes the direction of conversion.
Returns: float
Return type: the converted Flux.
-
astrolyze.functions.units.
JyBToWM2Kpc2
(input_flux, distance, major, minor, wavelength, invert=False, map_use=False)[source] Conversion between Jy/beam and W m^-2 kpc^-2
Parameters: - input_flux (float) – Flux to be converted.
- distance (float) – Distance to source in parsec.
- major (float) – Major Axis Beam (arcsec).
- minor (float) – Minor Axis Beam(arcsec).
- wavelength (float) – Wavelenght in
- invert (True or False) – Changes the direction of conversion.
Returns: float
Return type: the converted Flux.
-
astrolyze.functions.units.
WmToKkms
(x, resolution=0, sterad=False, ToKKms=False, m2_or_cm2='m', nu_or_lambda='nu')[source] Conversion between W/m2 and K km/s.
Parameters: - x (float) – wavelenght/frequency [GHZ].
- resolution (float) –
- ToKKms (True or False) – Direction of the conversion.
- sterad (True or False) – If False convert from per beam to per sterad.
- m2_or_cm2 (string) – Choose if conversion to/from W m-2 oder W cm-2.
'm2'
or'cm2'
.
Returns: factor – The conversion factor.
Return type: float
-
astrolyze.functions.units.
ergToKkms
(x, toErg=False, nu_or_lambda='nu')[source] Conversion between ergs/cm2/s/sr and K km/s.
Parameters: - x (float) – wavelenght/frequency [GHZ],
- toErg (True or False) – True converts the other direction, i.e. from K km/s to ergs/cm2/s/sr.
- nu_or_lambda (string) – Choose type of x: frequency =
'nu'
or wavelenght ='lambda'
.
Returns: factor – The conversion factor.
Return type: float
Notes
Approved.
-
astrolyze.functions.units.
jansky_to_kelvin
(x, major, minor, nu_or_lambda='nu')[source] Conversion from Jy/beam to K.km/s (Tmb).
Parameters: - x (float) – wavelength/frequency [GHZ],
- major (float) – Major Axis Beam (arcsec).
- minor (float) – Minor Axis Beam(arcsec).
- nu_or_lambda (string) – Choose type of x: frequency =
'nu'
or wavelength ='lambda'
.
Notes
Same as
kelvin_to_jansky()
-
astrolyze.functions.units.
kelvin_to_jansky
(x, major, minor, nu_or_lambda='nu')[source] Conversion from K.km/s (Tmb) and Jy/beam.
Parameters: - x (float) – wavelength/frequency [GHZ],
- major (float) – Major Axis Beam (arcsec),
- minor (float) – Minor Axis Beam(arcsec),
- nu_or_lambda (string) – Choose type of x: frequency =
'nu'
or wavelength ='lambda'
.
Notes
This function has been compared with the Time estimator from the [GILDAS] package ASTRO and yields the same conversion factors.
References
[GILDAS] www.iram.fr/IRAMFR/GILDAS
constants¶
# Natural Constants
c = 299792458. # Speed of light [m]
c_in_cm = c * 1e2 # Speed of light [cm]
h = 6.62606896e-34 # Plancks constant [Js]
k = 1.3806503e-23 # Boltzman constant [m^2 kg s^-1 K^-1]
tBG = 2.7 # Cosmic Microwave Background Temperature in [K]
e = 2.7182818284 # Eulers number
# Natural Constants in cgs units.
k_CGS = 1.3806503e-16 # Boltzman constant [cm^2 g s^-1 K^-1]
h_CGS = 6.62606896e-27 # Plancks constant [Js]
c_CGS = 2.99792458e10 # Speed of light [cm]
# Conversion of distances
parsec_in_m_1 = 3.08568025e16
parsec_in_m = 3.085e16 # parsec in m
parsec_in_cm = 3.08568025e18 # parsec in cm
km_in_cm = 1e5
# Masses
m_sun = 1.9891e30 # [kg]
m_proton = 1.672621637e-27 # [kg]
# Gauss constants
# GaussArea/(height*FWHM)
gauss_constant = 1.064467
# Luminosities
LsunW = 3.846e26 # Watts
Lsunergs = 3.846e26*1e7 # erg/s
debye_to_EsuCm = 1.e-18 # Change from debye to esu/cm
# Angle Conversions
a2r = 4.848e-6 # arcsec to radian
a2d = 1./60/60 # arcsec to degree
r2d = 180./math.pi # radian to degree


rel(*this, element(args,i) == c) doesn't work when args is a sequence of boolean variables... and indeed there is not constructor for: LinExpr element(const BoolVarArgs& x, const LinExpr& y); an oversight? Cheers, --Denys


Learning msbuild. Feels like make with sharp, pointy angle brackets (and a bit more sanity, got to give it that)
10/6/2008, 4:43:57 PM
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Learning msbuild. Feels like make with sharp, pointy angle brackets (and a bit more sanity, got to give it that)
10/6/2008, 4:43:57 PM
Favs: 0
Retweets: 0
link


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Interactive courses on how to program. Courses are created by community and cover CSS, Java, HTML.
We are building an online university, "by Silicon Valley", that: teaches the skills that industry employers need today, delivers credentials endorsed by employers, educates at a fraction of the cost of traditional schools. Our students acquire real skills through a series of online courses and hands-on projects.
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General Principles
Git repository: https://github.com/xtianus/yadaframework
The Yada Framework is a collection of libraries, patterns, tools, code snippets and best practices to speed up web site development. The main focus is on productivity and the approach is to use proven and known technologies in a repeatable way, so that each new project is easier to develop and maintain. Another goal is simplicity as defined by the KISS principle: some technology that is very powerful and exciting and complicated to use, won’t find a place here.
The technology stack is as follows:
-
Javascript
-
HTML, CSS, SASS
Tools used:
It is our strong belief that productivity is increased when using old and proven technologies (less bugs, less chance of deprecation, more documentation, more tools, more developer experience), and that simple architectures can efficiently solve most practical problems a developer will ever have to face.
Documentation Chapters
The documentation is a mix of tutorial and reference. It loosely follows the official Java "Duke’s Bookstore Case Study Example" with many improvements in functionality.
The tutorial sections are shown using this visual style.
- Getting Started
-
This section will guide you through the setup of the development environment: installing Java, git, MySQL, Eclipse. It will then show you how to create an Eclipse project with a database and a web server
- Bookstore Tutorial
-
When your development environment has been set by following the instructions in the previous chapter, you can start this tutorial that will show you how to quickly create a web application
- i18n
-
Implement a multilanguage site
- Database pagination
-
Fetch big data one piece at a time
- Forms
-
Submitting data to the server
- Ajax
-
Easy async operations
- Ajax Modals
-
Open a modal as a result of an ajax call
- Security
-
User accounts and protecting pages behind login
- DataTables
-
Effective handling of tabular data
- Sending Emails
-
Templating applied to emails
- Notification Modal
-
Quick messages to the user
- Miscellaneous
-
Other features
- Troubleshooting
-
Some hints for fixing problems
- Upgrade Yada Framework Version
-
New versions are announced on this page, together with instructions on how to migrate from the previous one
Current Status
The Yada Framework will always be a work in progress: open source libraries will evolve, our ways of using them will improve, the Yada code will get smarter, best practices will change, bugs will be fixed… and documentation will always lag behind.
The master branch in the git repository contains the latest "unstable" development. Each new stable version will have its own branch on which non-disruptive changes will be committed. Users, when starting the development of a new project, should pick the latest version on a branch and stick to it. Every new version might have breaking changes so you should upgrade only when you know you can afford the time of fixing your code.
A step-by-step guide on how to migrate from a version to the next will be provided here.


STEP 2. Enter your regular expression, into the text area (this activity will completely breakdown the expression). Alternatively you can import a graph or resume from another activity
STEP 3a. once the graph appears, right clicking on a node opens options: "Remove parallel transitions" will create a temporary arrow to choose which states to remove transitions between.
STEP 3b. Right clicking on a node opens options: "Remove State, Concatenate transitions" will concatenate in going transitions with the outgoing transitions then the state is removed.
STEP 3b. Right clicking on a node opens options: "Remove loop" will only become available if there is one loop. Once the loop is removed the expression is put into a star in front of any regular expression leaving that state.


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Diary management is guaranteed by the ability to set and get notifications for the creation of diary entries


| Manual section: | 7 |
|---|
This document describes the syntax used by Varnish Test Cases files (.vtc). A vtc file describe a scenario with different scripted HTTP-talking entities, and generally one or more Varnish instances to test.
A vtc file will be read word after word, with very little tokenization, meaning a syntax error won't be detected until the test actually reach the relevant action in the test.
A parsing error will most of the time result in an assert being triggered. If this happens, please refer yourself to the related source file and line number. However, this guide should help you avoid the most common mistakes.
The parser splits words by detecting whitespace characters and a string is a word, or a series of words on the same line enclosed by double-quotes ("..."), or, for multi-line strings, enclosed in curly brackets ({...}).
The leading whitespaces of lines are ignored. Empty lines (or ones consisting only of whitespaces) are ignored too, as are the lines starting with "#" that are comments.
Test files take at most one command per line, with the first word of the line being the command and the following ones being its arguments. To continue over to a new line without breaking the argument string, you can escape the newline character (\n) with a backslash (\).
NOTE: this can be used from the top-level as well as from client and server specifications.
Barriers allows you to synchronize different threads to make sure events occur in the right order. It's even possible to use them in VCL.
First, it's necessary to declare the barrier:
barrier bNAME TYPE NUMBER [-cyclic]
With the arguments being:
Then, to add a sync point:
barrier bNAME sync
This will block the parent thread until the number of sync points for bNAME reaches the NUMBER given in the barrier declaration.
If you wish to synchronize the VCL, you need to declare a "sock" barrier. This will emit a macro definition named "bNAME_sock" that you can use in VCL (after importing the debug vmod):
debug.barrier_sync("${bNAME_sock}");
This function returns 0 if everything went well and is the equivalent of barrier bNAME sync at the VTC top-level.
Client and server threads are fake HTTP entities used to test your Varnish and VCL. They take any number of arguments, and the one that are not recognized, assuming they don't start with '-', are treated as specifications, laying out the actions to undertake:
client cNAME [...]
server sNAME [...]
Clients and server are identified by a string that's the first argument, clients' names start with 'c' and servers' names start with 's'.
As the client and server commands share a good deal of arguments and specification actions, they are grouped in this single section, specific items will be explicitly marked as such.
Normally, to keep things simple, server threads only handle one connection at a time, but the -dispatch switch allows to accept any number of connection and handle them following the given spec.
However, -dispatch is only allowed for the server name "s0".
To make things easier in the general case, clients will connect by default to the first Varnish server declared and the -vcl+backend switch of the varnish command will add all the declared servers as backends.
Be careful though, servers will by default listen to the <IP_ADDRESS> IP and will pick a random port, and publish 3 macros: sNAME_addr, sNAME_port and sNAME_sock, but only once they are started. For varnishtest to create the vcl with the correct values, the server must be started when you use -vcl+backend.
It's a string, either double-quoted "like this", but most of the time enclosed in curly brackets, allowing multilining. Write a command per line in it, empty line are ignored, and long line can be wrapped by using a backslash. For example:
client c1 {
txreq -url /foo \
-hdr "bar: baz"
rxresp
} -run
Test if "STRING1 OP STRING2" is true, and if not, fails the test. OP can be ==, <, <=, >, >= when STRING1 and STRING2 represent numbers in which case it's an order operator. If STRING1 and STRING2 are meant as strings OP is a matching operator, either == (exact match) or ~ (regex match).
varnishtet will first try to resolve STRING1 and STRING2 by looking if they have special meanings, in which case, the resolved value is use for the test. Note that this value can be a string representing a number, allowing for tests such as:
expect req.http.x-num > 2
Here's the list of recognized strings, most should be obvious as they either match VCL logic, or the txreq/txresp options:
Same as for the top-level shell.
Send a minimal request or response, but overload it if necessary.
txreq is client-specific and txresp is server-specific.
The only thing different between a request and a response, apart from who can send them is that the first line (request line vs status line), so all the options are prety much the same.
These three switches can appear in any order but must come before the following ones.
You can then use the arguments related to the body:
Sleep for the number of seconds specified in the argument. The number can include a fractional part, e.g. 1.5.
This is very similar to the the shell command, except it takes a first string as argument before the command:
err_shell "foo" "echo foo"
err_shell expect the shell command to fail AND stdout to match the string, failing the test case otherwise.
Test that the required feature(s) for a test are available, and skip the test otherwise. feature takes any number of arguments from this list:
Reads the VSL and looks for records matching a given specification. It will process records trying to match the first pattern, and when done, will continue processing, trying to match the following pattern. If a pattern isn't matched, the test will fail.
logexpect threads are declared this way:
logexpect lNAME -v <id> [-g <grouping>] [-d 0|1] [-q query] \
[vsl arguments] {
expect <skip> <vxid> <tag> <regex>
expect <skip> <vxid> <tag> <regex>
...
} [-start|-wait]
And once declared, you can start them, or wait on them:
logexpect lNAME <-start|-wait>
With:
VSL arguments (similar to the varnishlog options):
And the arguments of the specifications lines are:
For skip, vxid and tag, '*' matches anything, '=' expects the value of the previous matched record.
Run a process in the background with stdout and stderr redirected to ${pNAME_out} and ${pNAME_err}, both located in ${pNAME_dir}:
process pNAME SPEC [-log] [-start] [-wait] [-run] [-kill STRING] \
[-stop] [-write STRING] [-writeln STRING] [-close]
Shorthand for -start -wait.
In most cases, if you just want to start a process and wait for it to finish, you can use the varnishtest shell command instead. The following commands are equivalent:
shell "do --something"
process p1 "do --something" -run
However, you may use the the process variant to conveniently collect the standard input and output without dealing with shell redirections yourself. The shell command can also expect an expression from either output, consider using it if you only need to match one.
Send a signal to the process. The argument can be either the string "TERM", "INT", or "KILL" for SIGTERM, SIGINT or SIGKILL signals, respectively, or a hyphen (-) followed by the signal number.
If you need to use other signal names, you can use the kill(1) command directly:
shell "kill -USR1 ${pNAME_pid}"
Note that SIGHUP usage is discouraged in test cases.
Set or change an environment variable:
setenv FOO "bar baz"
The above will set the environment variable $FOO to the value provided. There is also an -ifunset argument which will only set the value if the the environment variable does not already exist:
setenv -ifunset FOO quux
Pass the string given as argument to a shell. If you have multiple commands to run, you can use curly barces to describe a multi-lines script, eg:
shell {
echo begin
cat /etc/fstab
echo end
}
By default a zero exit code is expected, otherwise the vtc will fail.
Notice that the commandstring is prefixed with "exec 2>&1;" to join stderr and stdout back to the varnishtest process.
Optional arguments:
(note: this section is at the top-level for easier navigation, but it's part of the client/server specification)
Streams map roughly to a request in HTTP/2, a request is sent on stream N, the response too, then the stream is discarded. The main exception is the first stream, 0, that serves as coordinator.
Stream syntax follow the client/server one:
stream ID [SPEC] [ACTION]
ID is the HTTP/2 stream number, while SPEC describes what will be done in that stream.
Note that, when parsing a stream action, if the entity isn't operating in HTTP/2 mode, these spec is ran before:
txpri/rxpri # client/server
stream 0 {
txsettings
rxsettings
txsettings -ack
rxsettings
expect settings.ack == true
} -run
And HTTP/2 mode is then activated before parsing the specification.
The specification of a stream follows the exact same rules as one for a client or a server.
These four commands are about sending headers. txreq and txresp will send HEADER frames; txcont will send CONTINUATION frames; txpush PUSH frames. The only difference between txreq and txresp are the default headers set by each of them.
Insert an literal, indexed header. The first argument specify if the header should be added to the table, shouldn't, or mustn't be compressed if/when retransmitted.
INT is the idex of the header name to use.
The third argument informs about the Huffman encoding: yes (huf) or no (plain).
The last term is the literal value of the header.
Insert a literal header, with the same first argument as -litIdxHdr.
The second and third terms tell what the name of the header is and if it should be Huffman-encoded, while the last two do the same regarding the value.
By default, data frames are empty. The receiving end will know the whole body has been delivered thanks to the END_STREAM flag set in the last DATA frame, and txdata automatically set it.
These are two convenience functions to receive headers and body of an incoming request or response. The only difference is that rxreq can only be by a server, and rxresp by a client.
rxhdrs will expect one HEADER frame, then, depending on the arguments, zero or more CONTINUATION frame.
This works like rxhdrs, expecting a PUSH frame and then zero or more CONTINUATION frames.
Receiving data is done using the rxdata keywords and will retrieve one DATA frame, if you wish to receive more, you can use these two convenience arguments:
Push bytes directly on the wire. sendhex takes exactly one argument: a string describing the bytes, in hex notation, will possible whitespaces between them. Here's an example:
sendhex "00 00 08 00 0900 8d"
Receive a GOAWAY frame.
Possible options include:
Receive a PING frame.
Send PING frame.
Receive a PRIORITY frame.
Send a PRIORITY frame
Receive a RST_STREAM frame.
Send a RST_STREAM frame. By default, txrst will send a 0 error code (NO_ERROR).
Receive a SETTINGS frame.
SETTINGS frames must be acknowledge, arguments are as follow (most of them are from rfc7540#6.5.2):
Receive a WINDOW_UPDATE frame.
Transmit a WINDOW_UPDATE frame, increasing the amount of credit of the connection (from stream 0) or of the stream (any other stream).
expect in stream works as it does in client or server, except that the elements compared will be different.
Most of these elements will be frame specific, meaning that the last frame received on that stream must of the correct type.
Here the list of keywords you can look at.
Define and interact with varnish instances.
To define a Varnish server, you'll use this syntax:
varnish vNAME [-arg STRING] [-vcl STRING] [-vcl+backend STRING]
[-errvcl STRING STRING] [-jail STRING] [-proto PROXY]
The first varnish vNAME invocation will start the varnishd master process in the background, waiting for the -start switch to actually start the child.
With:
You can decide to start the Varnish instance and/or wait for several events:
varnish vNAME [-start] [-wait] [-wait-running] [-wait-stopped]
Once Varnish is started, you can talk to it (as you would through varnishadm) with these additional switches:
varnish vNAME [-cli STRING] [-cliok STRING] [-clierr STRING]
[-expect STRING OP NUMBER]
Look into the VSM and make sure the counter identified by STRING has a correct value. OP can be ==, >, >=, <, <=. For example:
varnish v1 -expect SMA.s1.g_space > 1000000
This should be the first command in your vtc as it will identify the test case with a short yet descriptive sentence. It takes exactly one argument, a string, eg:
varnishtest "Check that varnishtest is actually a valid command"
It will also print that string in the log.
This document has been written by Guillaume Quintard.
This document is licensed under the same licence as Varnish itself. See LICENCE for details.


Hello,
Welcome to my Portfolio!
My name is Samarth Jain and I am currently pursuing my MSc in electronics from Hong Kong University Of Science and Technology.My major interest lies in analog electronics as this is one of the few things left that artificial intelligence cannot still do but I can.Not kidding!
Take a look around and feel free to contact me.
I love to develop android apps and embedded systems using smartphone sensors.Its cool and fast.
I like power electronics, specifically analog electronics and control theory.You can view some of my freelance products
Have been a Team player always.
Mostly technical teams but learned a lots about team bonding.
View my previous teams-


---
layout: skills
title: About
permalink: /about/
---
My studies
My educational history is quite complicated, I have not gone through the traditional High School system. Instead, I got myself a degree as a telecommunications technician while simultaneously completing the high school diploma. In January of 2013 I started studying in Metropolia Polytechnic. I quickly switched to Aalto University, where my studies began in September of 2013. Major in Communication technology, minor in various related subjects.
My work history
- 2014->: Sales technician, Oy Senseware Ltd.
- 2012-2014: Substitute teacher in my former vocational institute.
- 2011-2012: Military training in the Finnish Air Force Academy, electronic warfare division.
- 2008-2011: 20 credits of work in various companies as a trainee. These were a part of my 2nd stage degree.
Positions of trust
- 2016: On the board of CEC, Walpuri (as editor in chief) and my local scout troop (chairman). Representative in the AYY student council, as the chairman of Voltti(organization composed of students from ELEC).
- 2015: On the board of CEC (chairman) and my local scout troop (chairman). In charge of student tutors in my guild.
- 2014: On the board of my local scout troop (vice chairman). In charge of food supplies in a 2000 person scouting camp.
- 2010, 2012, 2013: On the board of my local scout troop.
My hobbies and interests
My hobbies include board- and computer games, Magic the Gathering, electronics, and activity in various organizations. I also enjoy reading books, especially Science-Fiction. I also enjoy drinking good beer and eating well prepared meat.


GameId |
Some possible values of the object GameId |
SgfController |
Controls interaction between an SgfViewAdapter and SgfTree objects. class SgfController : SgfInputListener |
SgfInfoKeys |
This object holds string literals to be used as NodeInfo.keys. object SgfInfoKeys |
Status |
Indicates the status of the implementation of the respective target. annotation class Status |
android.os.Bundle |


Skills Language Fluent in Mandarin (Speaking) & Proficient in Spanish. Computer HTML, CSS, JavaScript, PC & Macintosh literate, Microsoft Office Applications, Photoshop, Canva. Music Read music, Play classical piano.


TARSQI Publications
2008
-
Marc Verhagen and James Pustejovsky (2008).
Temporal Processing with the TARSQI Toolkit.
Coling 2008: Companion volume: Demonstrations
Pages 189--192.
Coling 2008 Organizing Committee, Manchester, UK.
(pdf).
2007
-
Marc Verhagen (2007).
Drawing TimeML Relations with TBox.
In: Frank Schilder, Graham Katz and James Pustejovsky (eds).
Annotating, Extracting and Reasoning about Time and Events.
Lecture Notes in Computer Science, vol 4795. Springer, Berlin, Heidelberg.
(Springer link).
-
Inderjeet Mani, Ben Wellner, Marc Verhagen and James Pustejovsky (2007).
Three Approaches to Learning TLINKs in TimeML.
Technical Report, CS-07-268. Computer Science Department, Brandeis University
Waltham, United States.
(pdf).
2006
-
Roser Saurí, Marc Verhagen and James Pustejovsky (2006).
Annotating and Recognizing Event Modality in Text.
Proceedings of the 19th International FLAIRS Conference, FLAIRS 2006
Melbourne Beach, Florida, USA.
(pdf)
-
Roser Saurí, Marc Verhagen and James Pustejovsky (2006).
SlinkET: A Partial Modal Parser for Events.
Proceedings of LREC 2006. Genoa, Italy.
(pdf).
-
Inderjeet Mani, Marc Verhagen, Ben Wellner, Chong Min Lee and James Pustejovsky (2006)
Machine Learning of Temporal Relations.
Proceedings of the 21st International Conference on Computational Linguistics and
44th Annual Meeting of the Association for Computational Linguistics, ACL 2006.
Pages 753--760.
Association for Computational Linguistics, Sydney, Australia.
(pdf).
2005
-
Marc Verhagen (2005).
Drawing TimeML Relations with T-BOX.
In: Graham Katz and James Pustejovsky and Frank Schilder (eds).
Annotating, Extracting and Reasoning about Time and Events.
Dagstuhl Seminar Proceedings, Dagstuhl, Germany.
http://drops.dagstuhl.de/opus/volltexte/2005/318/.
(pdf).
-
Marc Verhagen, Inderjeet Mani, Roser Sauri, Jessica Littman, Robert Knippen,
Seok B. Jang, Anna Rumshisky, John Phillips and James Pustejovsky (2005).
Automating Temporal Annotation with TARSQI.
Proceedings of the ACL 2005,
Interactive Poster and Demo Session.
(pdf).
-
Roser Saurí and Marc Verhagen (2005).
Temporal Information in Intensional Contexts.
Proceedings of the Sixth International Workshop on Computation Semantics (IWCS-6).
2005. Tilburg, Netherlands.
(pdf).
-
Roser Saurí, Robert Knippen, Marc Verhagen and James Pustejovsky (2005).
Evita: A Robust Event Recognizer For QA Systems.
Proceedings of the conference on Human Language Technology and
Empirical Methods in Natural Language Processing. 2005. Pages
700-707. Association for Computational Linguistics, Morristown, NJ, USA.
(pdf).
-
Marc Verhagen (2005).
Temporal Closure in an Annotation Environment.
Language Resources and Evaluation.
Volume 39, Number 2, Pages 211--241.
(pdf).
2003
-
James Pustejovsky, José Castaño, Robert Ingria, Roser Saurí, Robert Gaizauskas,
Andrea Setzer and Graham Katz (2003).
TimeML: Robust Specification of Event and Temporal Expressions in Text.
IWCS-5, Fifth International Workshop on Computational Semantics.
(pdf).
-
James Pustejovsky, Patrick Hanks, Roser Saurí, Andrew See, Robert Gaizauskas,
Andrea Setzer, Dragomir Radev, Beth Sundheim, David Day, Lisa Ferro and Marcia Lazo (2003).
The TIMEBANK Corpus.
Proceedings of Corpus Linguistics 2003. Pages 647-656.
(pdf).


Work
For a full overview of my work, please visit my LinkedIn.
I have held software engineering positions at Frontier Silicon, The Hut Group, and Credit Suisse, and have tutored maths and programming both privately and through Fire Tech Camp.
For a full overview of my work, please visit my LinkedIn.
I have held software engineering positions at Frontier Silicon, The Hut Group, and Credit Suisse, and have tutored maths and programming both privately and through Fire Tech Camp.


Sometimes enclaves need to collaborate with other enclaves on the same platform due to different reasons such as data exchange if the enclave is too small to hold all the information, or communication with Intel reserved enclaves to conduct specific Intel services.
Therefore, the two exchanging enclaves have to prove to each other that they can be trusted. In other scenarios when an SGX enabled ISV client requests secrets from its ISV client, password management service for example, the client have to prove to the server that the client application is running on a trusted platform that can process the secrets securely. Both of those two conditions require a proof of secured execution environment, and Intel SGX refers to this proving process as attestation.
There are two types of attestation with respect to the two above mentioned scenarios: Local Attestation and Remote Attestation.
The successful result of local attestation provides an authenticated assertion between two enclaves running on the same platform that they can trust each other and exchange information safely, while remote attestation provides this kind of verification for the ISV client to the server so that ISV server can confidently provides the client with the secrets it requested.
Before diving into the details of attestation, we need to clarify some required instructions and data.
There are two device root keys that are fused to SGX CPU at production.
This key is randomly generated on a dedicated Hardware Security Module (HSM) within a special purpose facility called Intel Key Generation Facility (iKGF) which is guaranteed to be a well-guarded offline production facility. Intel is also responsible for maintaining a database of all keys ever produced by the HSM. RPKs are delivered out to different factory facilities, named by Intel’s formal publications as the “high volume manufacturing system”, to be integrated into processors’ fuses.
Intel stores all RPKs as they are the basis of how SGX processors demonstrate their genuineness through an online provisioning protocol. For this reason, the iKGF also forwards different derivations of each RPK to Intel’s online servers.
This key is randomly generated automatically inside the CPU during production to be statistically different from part to part. Intel declares that it attempts to erase all production lines residues of this key so that each platform should assume that its RSK value is both unique and known only to itself. Most of the keys provided by enclave’s trusted interface base their derivation on platform’s RSK so that no other parties can known the keys.
Content: code, data, stack, heap
Location of each page within the enclave
Security flags being used
The “Enclave Identity”, which is a 256-bit hash digest of the log, is stored as MRENCLAVE as the enclave’s software TCB. In order to verify the software TCB, one should first securely obtain the enclave’s software TCB, then securely obtain the expected enclave’s software TCB and compare those two values.
Measurement of the code and data in the enclave.
A hash of the public key in the ISV certificate presented at enclave initialization time.
User data.
Other security related state information (not described here).
A signature block over the above data, which can be verified by the same platform that produced the report.
This instruction generates a cryptographic structure, called REPORT, that binds MRENCLAVE to the target enclave’s REPORT KEY.
Used by EREPORT to sign all reports generated on that specific platform and destined that for that enclave.
Enclaves can use EGETKEY instruction to get derivatives of device keys. EGETKEY produces symmetric keys for different purposes depending on invoking enclave attributes and the requested key type. There are five different key types. Two are sealing and report keys available for all enclave. The rest are limited only to SGX architectural enclaves.
EGETKEY uses Security Version Number (SVN) specified by the requesting enclave to define requested key characteristics. CPU SVN to reflect processor microcode version, or ISV SVN to reflect enclave software version. EGETKEY checks these values against those stored in SIGSTRUCT and only allows to obtain keys with SVN values lower or equal to those of the invoking enclave so that upgraded versions of the same software can retrieve keys created by former versions.
Enclaves’ certificate is called SIGSTRUCT and is a mandatory supplement for launching any enclave. The SIGSTRUCT holds enclave’s MRENCLAVE together with other enclave attributes. SIGSTRUCTs are signed by the ISV with its private key, which was originally signed by an SGX launch authority. Intel is considered the primary enclave launch authority, however other entities can be trusted by the platform owner to authorize launching of enclaves. The respected launch authority is specified by its public key hash signed by Intel and stored on the platform.
We start with clarifying the process of local attestation and then remote attestation.


|
| Type | implType [get] |
| | Implementation type used to create the Service. Must implement the type of property interfaceType. More...
|
| |
| Type | interfaceType [get] |
| | The interface type for a service. This will be the primary type used to retrieve the service, e.g. More...
|
| |
| int | registrationGroup [get] |
| | Registration groups provide a way to provide control over the order in which registered services are instantiated and receive their InitService message (for services that implemenent AutoInitService). More...
|
| |
| ServiceResourceType | resourceType [get] |
| | Sometimes you want to have a service whose GameObject has multiple components and/or custom configuration. For these cases, you can tell the ServiceLoader to load the service from Resources by adding a [ResourceService] attribute to the implementation. More...
|
| |
| string | overrideResourcePath [get] |
| | Generally services loaded as resources use the interface name as the path, e.g. "Services/${interfaceName}" You can override the path by using this property More...
|
| |
◆ implType
| Type BeatThat.Service.ServiceRegistrationInfo.implType |
|
get |
Implementation type used to create the Service. Must implement the type of property interfaceType.
◆ interfaceType
| Type BeatThat.Service.ServiceRegistrationInfo.interfaceType |
|
get |
The interface type for a service. This will be the primary type used to retrieve the service, e.g.
Service.Require<SomeInterfaceType>()</InterfaceType>
◆ overrideResourcePath
| string BeatThat.Service.ServiceRegistrationInfo.overrideResourcePath |
|
get |
Generally services loaded as resources use the interface name as the path, e.g. "Services/${interfaceName}" You can override the path by using this property
◆ registrationGroup
| int BeatThat.Service.ServiceRegistrationInfo.registrationGroup |
|
get |
Registration groups provide a way to provide control over the order in which registered services are instantiated and receive their InitService message (for services that implemenent AutoInitService).
◆ resourceType
| ServiceResourceType BeatThat.Service.ServiceRegistrationInfo.resourceType |
|
get |
Sometimes you want to have a service whose GameObject has multiple components and/or custom configuration. For these cases, you can tell the ServiceLoader to load the service from Resources by adding a [ResourceService] attribute to the implementation.
The documentation for this struct was generated from the following file:
- Runtime/services/ServiceRegistration/ServiceRegistrationInfo.cs


10 PRINT CHR$(205.5+RND(1));
paperjs
experiment by
kenfrederick
mouse
generate new pattern
input fields
change colors
Pattern
Background


Boy Scouts’ Top Boss Takes Medical Leave
by ASSOCIATED PRESS(AP) — The Boy Scouts of America’s chief executive took a medical leave of absence as the youth organization faces financial difficulties related to sex-abuse litigation.
Mike Surbaugh has held the BSA’s top post for four years.
The chairman of the Boy Scouts’ executive committee, James Turley, conveyed the news of Surbaugh’s departure to members of the national staff in an email sent Monday. In the note, Turley referred to the BSA’s “financial challenges.”
“The work that each of us puts into this movement is vital, but to do our best on behalf of the Boy Scouts of America, we each must also look out for our own personal health,” Turley wrote. “Today, I am reaching out to let you know that Chief Scout Executive Michael Surbaugh is taking a medical leave of absence to focus on challenges that require his total attention.”
The Boy Scouts’ press office declined to elaborate on Surbaugh’s condition or comment further.
Turley, the retired chairman and CEO of the accounting firm Ernst & Young, said he would temporarily help fill the leadership void, along with Dan Ownby, a Houston-based energy industry executive who is in line to succeed Turley as BSA executive committee chairman.
Turley said the committee would work over the next several weeks to select an interim day-to-day leader for the BSA.
Surbaugh’s departure comes at a critical time for the Boy Scouts, which for years has been entangled in costly litigation with plaintiffs who said they were abused by Scout leaders in their youth. Hundreds of new lawsuits may lie ahead with the recent enactment of laws in New York, New Jersey, Arizona and California making it easier for victims of long-ago abuse to seek damages.
The BSA says it’s exploring “all available options” to maintain its programs and has not ruled out the possibility of declaring bankruptcy.
Seeking to relieve some of the financial pressure, the BSA announced two weeks ago that the annual membership fee for its 2.2. million youth members will rise from $33 to $60, while the fee for adult volunteers will rise from $33 to $36. The news dismayed many local Scout leaders, who had already started registering children for the coming year.
Surbaugh, was an Eagle Scout, became chief scout executive on Oct. 1, 2015, after serving in lower-level scouting jobs in a half-dozen states.
From BSA headquarters in Irving, Texas, he helped develop and implement the policies that brought girls into the organization’s programs after more than a century in which its flagship programs — the Cub Scouts and Boy Scouts — were boys-only.
The BSA’s youth participation of 2.2 million is down from more than 4 million in peak years of the past. The admission of girls was intended to slow the decline, but the membership rolls will take a big hit on Jan. 1, when the Church of Jesus Christ of Latter-day Saints — for decades a major sponsor of Boy Scout units — cuts its ties with the BSA and launches its own global youth programs.
Copyright © 2019 courthousenews.com


QAudioEncoderSettingsControl Class
The QAudioEncoderSettingsControl class provides access to the settings of a media service that performs audio encoding. More...
| Header: | #include <QAudioEncoderSettingsControl> |
| qmake: | QT += multimedia |
| Inherits: | QMediaControl |
Public Functions
| virtual | ~QAudioEncoderSettingsControl() |
| virtual QAudioEncoderSettings | audioSettings() const = 0 |
| virtual QString | codecDescription(const QString &codec) const = 0 |
| virtual void | setAudioSettings(const QAudioEncoderSettings &settings) = 0 |
| virtual QStringList | supportedAudioCodecs() const = 0 |
| virtual QList<int> | supportedSampleRates(const QAudioEncoderSettings &settings, bool *continuous = Q_NULLPTR) const = 0 |
- 32 public functions inherited from QObject
Protected Functions
| QAudioEncoderSettingsControl(QObject *parent = Q_NULLPTR) |
- 9 protected functions inherited from QObject
Macros
Additional Inherited Members
- 1 property inherited from QObject
- 1 public slot inherited from QObject
- 2 signals inherited from QObject
- 1 public variable inherited from QObject
- 10 static public members inherited from QObject
- 2 protected variables inherited from QObject
Detailed Description
The QAudioEncoderSettingsControl class provides access to the settings of a media service that performs audio encoding.
If a QMediaService supports encoding audio data it will implement QAudioEncoderSettingsControl. This control provides information about the limits of restricted audio encoder options and allows the selection of a set of audio encoder settings as specified in a QAudioEncoderSettings object.
The functionality provided by this control is exposed to application code through the QMediaRecorder class.
The interface name of QAudioEncoderSettingsControl is org.qt-project.qt.audioencodersettingscontrol/5.0
as defined in QAudioEncoderSettingsControl_iid.
See also QMediaService::requestControl() and QMediaRecorder.
Member Function Documentation
[protected]
QAudioEncoderSettingsControl::QAudioEncoderSettingsControl(QObject *parent = Q_NULLPTR)
Create a new audio encoder settings control object with the given parent.
[virtual]
QAudioEncoderSettingsControl::~QAudioEncoderSettingsControl()
Destroys the audio encoder settings control.
[pure virtual]
QAudioEncoderSettings QAudioEncoderSettingsControl::audioSettings() const
Returns the audio encoder settings.
The returned value may be different tha passed to QAudioEncoderSettingsControl::setAudioSettings() if the settings contains the default or undefined parameters. In this case if the undefined parameters are already resolved, they should be returned.
See also setAudioSettings().
[pure virtual]
QString QAudioEncoderSettingsControl::codecDescription(const QString &codec) const
Returns description of audio codec.
[pure virtual]
void QAudioEncoderSettingsControl::setAudioSettings(const QAudioEncoderSettings &settings)
Sets the selected audio settings.
See also audioSettings().
[pure virtual]
QStringList QAudioEncoderSettingsControl::supportedAudioCodecs() const
Returns the list of supported audio codec names.
[pure virtual]
QList<int> QAudioEncoderSettingsControl::supportedSampleRates(const QAudioEncoderSettings &settings, bool *continuous = Q_NULLPTR) const
Returns the list of supported audio sample rates, if known.
If non null audio settings parameter is passed, the returned list is reduced to sample rates supported with partial settings applied.
It can be used for example to query the list of sample rates, supported by specific audio codec.
If the encoder supports arbitrary sample rates within the supported rates range, *continuous is set to true, otherwise *continuous is set to false.
Macro Documentation
QAudioEncoderSettingsControl_iid
org.qt-project.qt.audioencodersettingscontrol/5.0
Defines the interface name of the QAudioEncoderSettingsControl class.


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BigDecimal
constructors which accept a double
value.
These constructors produce a BigDecimal
which is exactly equal to the supplied double
value.
However, as doubles are encoded in IEEE 754 64-bit double-precision binary floating-point format, the exact value could be unexpected.
For example new BigDecimal(0.1)
yields a BigDecimal
whose value is
0.1000000000000000055511151231257827021181583404541015625
which is the nearest number to 0.1 representable as a double.
To get a BigDecimal
which stores the same value as written in the source code,
use either new BigDecimal("0.1")
or BigDecimal.valueOf(0.1)
.
Example:
class Constructor { void foo() { new BigDecimal(0.1); } }
After the quick-fix is applied the result looks like:
class Constructor { void foo() { new BigDecimal("0.1"); } }


Barça defender Lenglet: Buy a Ferrari? It does not appeal to me...
The France centre-back was speaking while with the national team in Paris
by Alex MuñozMaybe he doesn't give the most titles are draw the most praise, but without making much noise Clement Lenglet has earned everyone's confidence at Barcelona and is now a regular for club and country.
Speaking to 'L'Est Republicain' while with the French national team this week, he opened up about living in the football bubble without having the tastes of many of the game's top players.
Lenglet came through at Nancy, eventually joining Sevilla for five million euros in 2017 and then moving to Barcelona in 2018. But he says he is still the same person that came through the ranks at a modest French club.
"I've not changed my lifestyle," he said. "I wasn't a star at Nancy and, for me, I am still not."
He acknowledges that fame has its drawbacks -- "I see my friends less and I can't go to the cinema anymore" -- but he adds: "But that's all compensated with the great moments I get the opportunity to experience."
For many footballers, fancy clothes and nice cars are the norm, but Lenglet is not many footballers.
"I understand the value of money, I'm someone who is reasonable in that respect," he said. "Of course, I live a good life. When I go to the restaurant, if I want a dish that's €40 or even €100, I don't look at the price. But buy a Ferrari, for example? No, they're nice, but it's still just a car and it doesn't appeal to me."


registeredWorkflows = []
[docs]def getRegisteredWorkflows():
""" Returns registered workflows list.
:return List of WorkflowItem : Registered workflows list
"""
return registeredWorkflows
[docs]def registerWorkflow(workflowItem, visibility = 0):
"""Registers workflow into workflow list. As a result, WorkflowRegistryItem
will be append to the registeredWorkflows list.
:param WorkflowItem workflowItem: Workflow instance to be registered
:param String visibility: Visibility tag, used in visibility url query parameter.
"""
workflowItem.visibility = visibility
registeredWorkflows.append(workflowItem)
from workflowitem import WorkflowItem, HtmlFormField
from workflowsequence import WorkflowSequence
[docs]class Workflow(WorkflowSequence):
"""This class is just better name for root workflow sequence item.
>>> Workflow("My Workflow")
Workflow('My Workflow', [])
"""
pass
[docs]class GeneralizationWorkflow(Workflow):
""" This is generic class representing generealization workflow.
"""
def __init__(self, caption, description = ''):
self.preProcessing = WorkflowSequence("PreProcessing", "", [], True, True)
self.generalization = WorkflowSequence("Generalizace", "", [], True, True)
self.postProcessing = WorkflowSequence("PostProcessing", "", [], True, True)
items = [
self.preProcessing,
self.generalization,
self.postProcessing
]
Workflow.__init__(self, caption, description=description, items=items, enabled=True, required=True)
[docs]def buildHTMLPageContent(title, content):
"""Takes standard HTML page template and generates result with given content and title.
:param String title: Page title.
:param String content: HTML code used as page content.
:return String: HTML code of the requested page.
"""
from sharedtools.base import fileRead, replaceHTMLBlock, replaceJavaScriptBlock
from sharedtools import normalizePath
html = fileRead(normalizePath("workflow/WebPageTemplate.html"))
html = html.replace("<title>Title</title>", "<title>%s</title>" % title)
html = html.replace('
Title
', '
%s
' % title)
html = html.replace('

', '
%s
' % content)
html = replaceHTMLBlock(html, "DEV", "")
html = replaceJavaScriptBlock(html, "DEV", "")
return html


The default mode... just your regular basic average blast of confetti. But it's still a little cool, right?
 Shoot a random amount of confetti in random directions. (Go ahead... you know you want to click that button more than once.)
If you happened to get curious and changed the particle count to 400 or so, you saw something disappointing. An even "flattened cone" look to the confetti, making it look way too perfect and ruining the illusion. We can fix that by mixing a few effects together.
Why click a button repeatedly when you can have code do it for you? Shoot some firework of confetti from the sides of page so you can still read the content in the center.
The effect is not limited to crazy rapid fire of confetti though. You can create a wintery mood with gently falling particles across the entire page.
But if you are into crazy rapid fire of confetti, what could be a better use than to show everyone what you are all about?  You can limit where the confetti appear by providing your own canvas element.


Technology Stack Overview
Take a dive into technology stack
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It brings me a mixture of sadness and relief to announce that Cheapass will shutdown on 1st Oct 2017.
While this may come as a huge surprise to a lot of you given how well the service has been running for the last 40 months, the fact remains that Cheapass has been a one man operation and I've simply been way too busy with life and other work to give it the attention it deserves.
Of late I'd been working on revamping the entire product to match the technology with scale, and while I was at it, I realized that Cheapass doesn't make enough revenue to support it as a full time endeavour, nor does it make enough to justify the burden (financial, administrative or otherwise) of supporting it out of hours. That said, Cheapass will remain the jewel in the crown of my professional work that was done without any intentions of making it large, so I'm still exploring the possibility of one day either open sourcing it or finding a person or company that would be interested in keeping it running. If you happen to know such a person, please tell them about this. To avoid setting any unrealistic expectations this means that the website, the bookmarklet, the Android app, and the iOS app will no longer be active, maintained or supported beyond 1st Oct 2017. In fact the disruption in service has already started and you might not be able to set any more alerts or receive any further price drop alerts.
After Cheapass made its mark in this tech space, several such services have spun up and it should be easy migrating your existing alerts onto other such platforms.
The support, admiration, attention and love this project has received from each one of you has been overwhelming. If you have any questions, concerns, or anything to say in general, please feel free to email me directly at<EMAIL_ADDRESS>Again, thanks for all the support over the last 3 years. It's been an honour and fun helping each of you save money while shopping online.
Cheers,
Aakash Goel
PS. I'll continue building cool things. You can be the first one to know about them if you choose not to unsubscribe here.


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#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <pthread.h>
#include <cstdint>
#include <vector>
#include <time.h>
#include <omp.h>
#include <limits.h>
#include <math.h>
#include <fstream>
Go to the source code of this file.
|
| void * | productor (void *) |
| |
| void * | consumidor (void *) |
| |
| vector< vector< int > > | generarMatriz (int n, int m) |
| |
| int | multiplicar (vector< vector< int >> A, vector< vector< int >> B) |
| |
| void | imprimirMatrices (vector< int > vec, bool hold, int nPro, int status, int proT, int nFinish, int nFail) |
| |
| void | imprimirResultados (int nFinish, int nFail) |
| |
| bool | emparejar () |
| |
| void | asignarValores (int processsors, int cores, float valalpha, float valbeta, float valdelta, float valnotgamma, int valc, time_t valtimeSim, int valx) |
| |
| int | main (int argc, char *argv[]) |
| |
◆ BSIZE
◆ ITEMS
◆ NP
◆ asignarValores()
| void asignarValores |
( |
int |
processsors, |
|
|
int |
cores, |
|
|
float |
valalpha, |
|
|
float |
valbeta, |
|
|
float |
valdelta, |
|
|
float |
valnotgamma, |
|
|
int |
valc, |
|
|
time_t |
valtimeSim, |
|
|
int |
valx |
|
) |
| |
Assigns the values of input variables to global variables. Some of these global variables will have the same value as the input variables, but some will be divided by the values of those input variables.
- Parameters
-
| processors | The amount of processors/threads to be used for this simulation. |
| cores | The amount of cores to be used per processor/thread. |
| valalpha | The value of alpha. |
| valbeta | The value of beta. |
| valdelta | The value of delta. |
| valnotgamma | The value of valnotgamma. |
| valc | The value of c |
| valtimeSim | The value of timeSim |
| valx | The value of x |
Definition at line 270 of file mainTest.cpp.
◆ consumidor()
| void * consumidor |
( |
void * |
arg | ) |
|
A method used by every consumer thread that makes a call to "multiplicar" to multiply matrices. It can enter a state of recuperation or reboot in case the RC or RB flags are active.
- Parameters
-
| arg | A pointer of type void that points to the ID or number of the thread using this method. |
Definition at line 353 of file mainTest.cpp.
◆ emparejar()
Checks wether two pair of matrices can be multiplied by checking if the amount of columns of the first matrix is the same as the amount of rows of the second matrix.
- Returns
- true or false as to if they can multiply or not.
Definition at line 225 of file mainTest.cpp.
◆ generarMatriz()
| vector<vector<int> > generarMatriz |
( |
int |
n, |
|
|
int |
m |
|
) |
| |
Generates a matriz using 2 random numbers, one for the columns and one for the rows. It also fills the matrix with random numbers;
- Parameters
-
| n | The number of columns in the matrix. |
| m | The number of rows in the matrix. |
- Returns
- vec, the matrix that was generated.
Definition at line 71 of file mainTest.cpp.
◆ imprimirMatrices()
| void imprimirMatrices |
( |
vector< int > |
vec, |
|
|
bool |
hold, |
|
|
int |
nPro, |
|
|
int |
status, |
|
|
int |
proT, |
|
|
int |
nFinish, |
|
|
int |
nFail |
|
) |
| |
Opens a text file and prints
- Parameters
-
| vec | |
| hold | The variable that tells wether a matrix is on hold or not. |
| nPro | The id of the producer thread. |
| status | The variable that tells wether a thread is working or not. |
| proT | The total amount of processors. |
| nFinish | The amount of finished multiplications. |
| nFail | The amount of failed multiplications. |
Definition at line 185 of file mainTest.cpp.
◆ imprimirResultados()
| void imprimirResultados |
( |
int |
nFinish, |
|
|
int |
nFail |
|
) |
| |
Opens a text file and prints the number of finished multiplications and the number of failed multiplications.
- Parameters
-
| nFinish | The amount of finished multiplications. |
| nFail | The amount of failed multiplications. |
Definition at line 208 of file mainTest.cpp.
◆ main()
| int main |
( |
int |
argc, |
|
|
char * |
argv[] |
|
) |
| |
Receives all the necessary parameters when running the program using the executable or through the webpage,
- Parameters
-
| argc | The number of arguments passed to the program |
| argv | The array that saves all the arguments |
Definition at line 289 of file mainTest.cpp.
◆ multiplicar()
| int multiplicar |
( |
vector< vector< int >> |
A, |
|
|
vector< vector< int >> |
B |
|
) |
| |
Receives two matrices to multiply after going through a Poisson distribution to determine wether the consumer thread using this method goes into RC or RB in a simulated manner.
- Parameters
-
| A | The first matrix. |
| B | The second matrix. |
- Returns
- an integer that helps signal if a matrix is ready to be multilpied or not.
Definition at line 104 of file mainTest.cpp.
◆ productor()
| void * productor |
( |
void * |
arg | ) |
|
A method used by the productor thread that makes a call to "generarMatriz" to create matrices with random sizes and later pushes them back to the list of matrices. The matrices are also pushed into the buffer for the consumer threads to use.
- Parameters
-
| arg | A pointer of type void that points to the ID or number of the thread using this method (which in this case is only 1). |
Definition at line 450 of file mainTest.cpp.
◆ alpha
◆ beta
◆ buffer
| vector<vector<int> > buffer[BSIZE] |
◆ consume
| pthread_cond_t consume = PTHREAD_COND_INITIALIZER |
◆ contador
◆ contador2
◆ count
◆ delta
◆ fout
◆ fout2
◆ globalFail
◆ in
◆ list
| vector<vector<vector<int> > > list |
◆ mutex
| pthread_mutex_t mutex = PTHREAD_MUTEX_INITIALIZER |
◆ NC
◆ NCORES
◆ nFail
◆ nFinish
◆ notgamma
◆ out
◆ produce
| pthread_cond_t produce = PTHREAD_COND_INITIALIZER |
◆ timeSim
◆ vec


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Math typesetting information
In summer of 2007 (as I write) MicroSoft is proposing an extension to OpenType which will allow fonts to contain information useful for mathematical typesetting. The information all lives in a new 'MATH'
table. FontForge now allows you to perform basic editing on this table.
Constants
The table is divided into several parts. One part provides information on font-wide constants (And I do not mean "pi" or 2.71828... when I say constant here). These have to do with the size of various elements of mathematical formulae with respect to one another, and the spacing between them. So FractionNumeratorGapMin
specifies the minimum gap (white space) between the bottom of the numerator of a fraction and the fraction bar (the rule between the numerator and denominator.
I will not describe all of these constants here, there are about 60 of them (and they take up 8 panes in the dialog). Most are fairly self-explanatory, but some I do not understand myself. FontForge has little popup messages plagerized from the specification which try to go into more detail.
Some of these constants are stored as percentages of some other size (ScriptPercentScaleDown is and means that sub-elements should be drawn at a pointsize 73% of the current one -- I think). But most constants are represented in em-units, and most of these may also have device table adjustments specified. (At small pixel sizes (such as those used for screen fonts) the rounding error introduced by converting from em-units to pixels may be as large as the movement itself. A device table allows you to specify that (in the case of AxisHeight above) when the font is rasterized to be 10 pixels high the Axis should be moved up by one pixel).
FontForge is not always configured to support device tables, so if these columns are missing you just need to reconfigure and rebuild it.
Glyph specific information
In addition to the constants there are various bits of data that potentially pertain to each glyph.
Extended Shapes
The simplest of these per-glyph data is a flag which indicates whether a glyph is an extended shape. Extended shapes tend to be taller than normal characters and need to have superscripts raised higher than normal shapes.
This sub-table consists of a list of glyph names and an indication of whether this glyph is an extended shape (you may add additional glyphs at the bottom of the list, order is irrelevant here).
### Italic Correction
The concept of "Italic correction" will be familiar to users of TeX. Basically when an upright glyph is placed after an italic (or oblique) glyph the slanted glyph may overlap the upright one slightly (since it is designed to fit next to another slanted glyph). The italic correction is a small addition to the glyph's advance width applied when followed by an upright glyph (and in some other cases too).
If you allow the mouse cursor to hover over an entry a small window will pop up showing the glyph, the normal advance width (as a dotted line), and the corrected advance width.
Here again you are allowed to specify a device table to adjust the correction.
### Top Accent Attachment
When positioning an accent above a glyph Mathmatical typesetting follows complex rules to determine how high about the glyph it should go. The standard Mark To Base GPOS lookup is inappropriate here.
Instead all that needs to be specified is the horizontal position at which the glyph and accent should attach.
This table can be used to specify that position in both the base glyph and the accent. In the example at right I show one of each. The vertical line indicates the attachment position in each, and the glyphs will be adjusted so the two lines match up.
Again a device table may be specified to control positioning at small pixel sizes.
### Math Kerning
This subtable is used when positioning subscripts and superscripts at various corners of a glyph. A glyph may have a superscript attached to either its top left or top right edge (limits for integral signs use the same mechanism, and probably other concepts will as well), and a subscript at the bottom left or right.
In a slanted glyph it is clear that the horizontal positioning of a subscript should be different from the horizontal positioning of a superscript -- A problem similar to the italic correction. But this is more complex as the positioning point may depend on the size of the sub/superscript and exactly where it attaches vertically.
This subtable allows you to specify a list of glyph kerning/height pairs for each corner of the glyph. Click on the word "Change" above to get a new dialog. These data may be specified textually:
At any given height a kerning value may be specified. This value is relative to the default position of the subscript (and I'm not entirely sure what that is). As always device table adjustments may be specified.
FontForge also allows you to specify these data graphically
FontForge displays bottom right attachments relative to the advance width line of the glyph
FontForge displays top right attachments relative to the advance width plus the italic correction.
FontForge displays bottom left attachments relative to the origin of the glyph.
FontForge displays top left attachments relative to the italic correction.
Note: If you are familiar with the MATH table spec you will recall that the last kern value does not have a height attached to it. FontForge tries to guess a reasonable value for the unspecified height (because it makes editing easier if I let the user move a point around), but have no fears, that guessed at value will never show up in the MATH table itself.
Vertical and Horizontal Glyph Variants
Some glyphs, like parentheses and brackets need to be drawn in many sizes depending on the size of the formula they are enclosing. One possibility is just to draw them at a larger pointsize, but that is non-optimal because then the glyph will be symetrically scaled and so much bolder than it should be. Another solution is to design several variants of these glyphs at steadily increasing sizes. A third solution (which we will come to in the next section) is to design the glyph in sections so that it can be composed at any size.
In this sub-table you may specify a normal sized glyph (here "leftparen") and then a list of variants in increasing sizes.
Glyphs may be grow along either the vertical axis (as here) or the horizontal axis.
### Vertical and Horizontal Glyph Construction
As I said above, it is also possible to build a glyph out of bits of other glyphs.
Each such constructed glyph has (potentially) and Italic Correction (and device table adjustment). This value should be independent of the size of the glyph.
The components are rather difficult to specify in this display, but if you scroll the dialog to the far right you will find a little rectanglular box, and clicking on this will produce the dialog below.
Every component is either an "Extender" component -- which means it may be stuck in the composed glyph as often as needed (or not at all) to make the glyph be as big as needed.
Component glyphs may overlap one another. You may specify a maximum overlap for each end of each component. You may also specify how much the component adds to the total height (or width) of the composed glyph.
Finally there is a font-wide constant (in the Connectors pane of the Constants section) called MinConnectorOverlap which specifies that glyphs must overlap by at least this amount.
The per-glyph information may also be specified from the Glyph Information dialog.
I wish to thank Sergey Malkin at MicroSoft who provided me with a copy of the spec, and Apostolos Syropoulos who provided me with a test font containing a 'MATH' table.


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Party name
Office
Candidate name
Number of votes
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PDP
LG Chairman
Paul Boseman Wakanda
100
none
APC
Governor
Griffin Sanchez Trump
100
none
ANN
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Swanson Liverpool Madrid
30
10
ANN
Senator
Brown Black Bush
250
1


YAML front matter mode
Defines a mode that parses
a YAML frontmatter
at the start of a file, switching to a base mode at the end of that.
Takes a mode configuration option base
to configure the
base mode, which defaults to "gfm"
.
Defines a mode that parses
a YAML frontmatter
at the start of a file, switching to a base mode at the end of that.
Takes a mode configuration option base
to configure the
base mode, which defaults to "gfm"
.


This page provides supplemental materials for the paper ADAGE analysis of publicly available gene expression data collections illuminates Pseudomonas aeruginosa-host interactions.
We provide a collection of heatmaps describing Node42’s activity pattern in each experiment covered in our compendium. Each experiment was named by its ArrayExpress ID. The activity values in each dataset were mean-centered and the complete range of node activity values was used to generate the color range.
We also provide a collection of heatmaps showing each node’s activity pattern in each experiment covered in our compendium. An experiment may be analyzed through nodes that are differentially active between cases and controls. To clearly visualize the differences in node activity, each node’s activity was adjusted by subtracting the node’s mininum activity in one experiment. Heatmaps were hierarchically clustered and the color key was automatically generated based on the range of activity differences.