|
eDSP
0.0.1
A cross-platform DSP library written in C++.
|
Enumerations | |
| enum | CorrelationScale { CorrelationScale::None, CorrelationScale::Biased, CorrelationScale::Unbiased } |
| The ScaleOpt enum defines the normalization option of the correlation function. More... | |
| enum | SpectralScale { SpectralScale::Linear, SpectralScale::Logarithmic } |
| The SpectralScale enum represent the scale used to represent the power spectral density. More... | |
Functions | |
| template<typename InputIt , typename OutputIt , typename RAllocator = std::allocator<meta::value_type_t<InputIt>>, typename CAllocator = std::allocator<std::complex<meta::value_type_t<OutputIt>>>> | |
| void | cepstrum (InputIt first, InputIt last, OutputIt d_first) |
| Computes the cepstrum of the range [first, last) and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt , typename RAllocator = std::allocator<meta::value_type_t<InputIt>>, typename CAllocator = std::allocator<std::complex<meta::value_type_t<OutputIt>>>> | |
| void | conv (InputIt first1, InputIt last1, InputIt first2, OutputIt d_first) |
| Computes the convolution between the range [first1, last1) and the range [first2, last2), and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt , typename RAllocator = std::allocator<meta::value_type_t<InputIt>>, typename CAllocator = std::allocator<std::complex<meta::value_type_t<OutputIt>>>> | |
| void | xcorr (InputIt first, InputIt last, OutputIt d_first, CorrelationScale scale=CorrelationScale::None) |
| Computes the autocorrelation of the range [first, last) and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt , typename RAllocator = std::allocator<meta::value_type_t<InputIt>>, typename CAllocator = std::allocator<std::complex<meta::value_type_t<OutputIt>>>> | |
| void | xcorr (InputIt first1, InputIt last1, InputIt first2, OutputIt d_first, CorrelationScale scale=CorrelationScale::None) |
| Computes the correlation between the range [first1, last1) and the [first2, last2), and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt > | |
| void | dct (InputIt first, InputIt last, OutputIt d_first) |
| Computes the Discrete-Cosine-Transform of the range [first, last) and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt > | |
| void | idct (InputIt first, InputIt last, OutputIt d_first) |
| Computes the Inverse-Discrete-Cosine-Transform of the range [first, last) and stores the result in another range, beginning at d_first. More... | |
| template<typename Integer > | |
| constexpr Integer | make_fft_size (Integer real_size) noexcept |
| Computes the expected DFT size for a real-to-complex DFT transform. More... | |
| template<typename Integer > | |
| constexpr Integer | make_ifft_size (Integer complex_size) noexcept |
| Computes the expected IDFT size for a complex-to-real IDFT transform. More... | |
| template<typename InputIt , typename OutputIt > | |
| void | cdft (InputIt first, InputIt last, OutputIt d_first) |
| Computes the complex-to-complex Discrete-Fourier-Transform of the range [first, last) and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt > | |
| void | cidft (InputIt first, InputIt last, OutputIt d_first) |
| Computes the complex-to-complex Inverse-Discrete-Fourier-Transform of the range [first, last) and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt > | |
| void | dft (InputIt first, InputIt last, OutputIt d_first) |
| Computes the real-to-complex Discrete-Fourier-Transform of the range [first, last) and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt > | |
| void | idft (InputIt first, InputIt last, OutputIt d_first) |
| Computes the complex-to-real Inverse-Discrete-Fourier-Transform of the complex range [first, last) and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt > | |
| void | hartley (InputIt first, InputIt last, OutputIt d_first) |
| Computes the Discrete-Hartley-Transform of the range [first, last) and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt , typename Allocator = std::allocator<std::complex<meta::value_type_t<InputIt>>>> | |
| void | hilbert (InputIt first, InputIt last, OutputIt d_first) |
| Computes the Discrete-Time analytic signal using Hilbert transform of the range [first, last) and stores the result in another range, beginning at d_first. More... | |
| template<typename InputIt , typename OutputIt , typename Allocator = std::allocator<std::complex<meta::value_type_t<OutputIt>>>> | |
| void | periodogram (InputIt first, InputIt last, OutputIt d_first, SpectralScale scale) |
| Computes the periodogram of the range [first, last) and stores the result in another range, beginning at d_first. More... | |
|
strong |
|
strong |
|
inline |
Computes the complex-to-complex Discrete-Fourier-Transform of the range [first, last) and stores the result in another range, beginning at d_first.
The DFT transforms a sequence of \( N \) complex numbers \( x_n \) into another sequence of complex numbers \( X_k \):
\[ {\displaystyle {\begin{aligned}X_{k}&=\sum _{n=0}^{N-1}x_{n}\cdot e^{-{\frac {2\pi i}{N}}kn}\\&=\sum _{n=0}^{N-1}x_{n}\cdot [\cos(2\pi kn/N)-i\cdot \sin(2\pi kn/N)],\end{aligned}}} \]
| T | Underlying type to perform the arithmetic operations (float, double or long double). |
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
|
inline |
Computes the cepstrum of the range [first, last) and stores the result in another range, beginning at d_first.
The Cepstrum is the result of taking the inverse Fourier transform (IDFT) of the logarithm of the estimated spectrum of a signal:
\[ {\displaystyle C_K =\left|{\mathcal {F}}^{-1}\left\{\log \left(\left|{\mathcal {F}}\{f(t)\}\right|^{2}\right)\right\}\right|^{2}} \]
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
|
inline |
Computes the complex-to-complex Inverse-Discrete-Fourier-Transform of the range [first, last) and stores the result in another range, beginning at d_first.
The IDFT transforms a sequence of \( N \) complex numbers \( X_k \) into another sequence of complex numbers \( x_n \):
\[ {\displaystyle x_{n}={\frac {1}{N}}\sum _{k=0}^{N-1}X_{k}e^{{\frac {2\pi i}{N}}kn}\quad \quad n=0,\dots ,N-1.} \]
| T | Underlying type to perform the arithmetic operations (float, double or long double). |
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
|
inline |
Computes the convolution between the range [first1, last1) and the range [first2, last2), and stores the result in another range, beginning at d_first.
The result of conv can be interpreted as an estimate of how the shape of one range is modified by the other. It is defined as:
\[ {\displaystyle (f*g)[n]=\sum _{m=-M}^{M}f[n-m]g[m].} \]
| first1 | Input iterator defining the beginning of the first input range. |
| last1 | Input iterator defining the ending of the first input range. |
| first2 | Input iterator defining the beginning of the second input range. |
| d_first | Output iterator defining the beginning of the destination range. |
|
inline |
Computes the Discrete-Cosine-Transform of the range [first, last) and stores the result in another range, beginning at d_first.
The DCT-II is computed as follows:
\[ {\displaystyle X_{k}=\sum _{n=0}^{N-1}{x_{n}\cos \left[{\frac {\pi }{N}}\left(n+{\frac {1}{2}}\right)k\right]}} \]
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
| void edsp::spectral::dft | ( | InputIt | first, |
| InputIt | last, | ||
| OutputIt | d_first | ||
| ) |
Computes the real-to-complex Discrete-Fourier-Transform of the range [first, last) and stores the result in another range, beginning at d_first.
When the input data are purely real number, the DFT output satisfies the “Hermitian” redundancy: \( F(i) \) is the conjugate of \( F(N - i) \), where \( N \) is the size of the DFT. To benefit from this property (speed and space advantages), the input and output arrays are of different sizes and types: the input is \( N \) real numbers, while the output is \( \frac{N}{2} + 1 \) complex numbers (the non-redundant outputs) where the division is rounded down.
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
|
inline |
Computes the Discrete-Hartley-Transform of the range [first, last) and stores the result in another range, beginning at d_first.
The DHT transforms a sequence of \( N \) real numbers \( x_n \) into another sequence of real numbers \( H_k \):
\[ {\displaystyle H_{k}=\sum _{n=0}^{N-1}x_{n}\operatorname {cas} \left({\frac {2\pi }{N}}nk\right)=\sum _{n=0}^{N-1}x_{n} \left[\cos \left({\frac {2\pi }{N}}nk\right)+\sin \left({\frac {2\pi }{N}}nk\right)\right]\quad \quad k=0,\dots ,N-1} \]
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
|
inline |
Computes the Discrete-Time analytic signal using Hilbert transform of the range [first, last) and stores the result in another range, beginning at d_first.
The Discrete-time analytic is the complex helical sequence obtained from a real data sequence. The analytic signal \( A_k = A_r + iA_i \) has a real part, \( A_r \), which is the original data, and an imaginary part, \( A_i \), which contains the Hilbert transform. The imaginary part is a version of the original real sequence with a 90° phase shift.
The Hilbert transform is computed as follows:
\[ {\displaystyle {\widehat {s}}(t)={\mathcal {H}}\{s\}(t)=(h*s)(t)={\frac {1}{\pi }}\int _{-\infty }^{\infty }{\frac {s(\tau )}{t-\tau }}\,d\tau .\,} \]
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
|
inline |
Computes the Inverse-Discrete-Cosine-Transform of the range [first, last) and stores the result in another range, beginning at d_first.
The IDCT-II is computed as follows:
\[ {\displaystyle X_{k}={\frac {1}{2}}x_{0}+\sum _{n=1}^{N-1}{x_{n}\cos \left[{\frac {\pi }{N}}n\left(k+{\frac {1}{2}}\right)\right]}} \]
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
| void edsp::spectral::idft | ( | InputIt | first, |
| InputIt | last, | ||
| OutputIt | d_first | ||
| ) |
Computes the complex-to-real Inverse-Discrete-Fourier-Transform of the complex range [first, last) and stores the result in another range, beginning at d_first.
When the input data are purely real number, the DFT output satisfies the “Hermitian” redundancy: \( F(i) \) is the conjugate of \( F(N - i) \), where \( N \) is the size of the DFT. To benefit from this property (speed and space advantages), the input and output arrays are of different sizes and types: the input is \( N \) real numbers, while the output is \( \frac{N}{2} + 1 \) complex numbers (the non-redundant outputs) where the division is rounded down.
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
|
noexcept |
Computes the expected DFT size for a real-to-complex DFT transform.
|
noexcept |
Computes the expected IDFT size for a complex-to-real IDFT transform.
|
inline |
Computes the periodogram of the range [first, last) and stores the result in another range, beginning at d_first.
The periodogram is an estimate of the spectral density of a signal.
\[ {\displaystyle S\left({\tfrac {k}{NT}}\right)=\left|\sum _{n}x_{N}[n]\cdot e^{-i2\pi {\frac {kn}{N}}}\right|^{2}} \]
where T, is the inverse of the sample rate \( f_s \).
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
| scale | Scale to be used in the output |
|
inline |
Computes the autocorrelation of the range [first, last) and stores the result in another range, beginning at d_first.
The result of xcorr can be interpreted as an estimate of the correlation between two random sequences or as the deterministic correlation between two deterministic signals.
\[ R_{xx}(k) = \sum_{n=-\infty}^{\infty} x(n)x(n-k) \]
| first | Input iterator defining the beginning of the input range. |
| last | Input iterator defining the ending of the input range. |
| d_first | Output iterator defining the beginning of the destination range. |
| scale | Scale factor to use. |
|
inline |
Computes the correlation between the range [first1, last1) and the [first2, last2), and stores the result in another range, beginning at d_first.
The result of xcorr can be interpreted as an estimate of the correlation between two random sequences or as the deterministic correlation between two deterministic signals.
\[ R_{x_1 x_2}(k) = \sum_{n=-\infty}^{\infty} x_1(n)x_2(n-k) \]
| first1 | Input iterator defining the beginning of the first input range. |
| last1 | Input iterator defining the ending of the first input range. |
| first2 | Input iterator defining the beginning of the second input range. |
| d_first | Output iterator defining the beginning of the destination range. |
| scale | Scale factor to use. |


--- layout: default home-title: About description: 我渴望鲜活的你 header-img: /assets/img/home-bg-3.jpg --- {% include header.html %}


Hi! I'm Ruthu, currently a senior at the Indian Institute of Technology Kharagpur.
I will be joining Boston Consulting Group (BCG) as an Associate post graduation.
I am passionate about all things tech x entrepreneurship.
Occasionally, I write about my work and experiences on Medium.
Get in touch if you're working on something interesting, have an idea, or just want to connect!


Tabular reinforcement learning algorithms – sc2qsr.rl.tabular
¶
https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow/
-
class
sc2qsr.rl.
QLambda
(actions, learning_rate=0.01, reward_decay=0.9, epsilon=0.1, trace_decay=0.9)[source]¶ Q(λ) algorithm
-
class
sc2qsr.rl.
QLearning
(actions, policy='egreedy', learning_rate=0.01, reward_decay=0.9, epsilon=0.1)[source]¶ Tabular Q-Learning algorithm
-
class
sc2qsr.rl.
Sarsa
(actions, policy='egreedy', learning_rate=0.01, reward_decay=0.9, epsilon=0.1)[source]¶ SARSA algorithm
-
class
sc2qsr.rl.
SarsaLambda
(actions, learning_rate=0.01, reward_decay=0.9, epsilon=0.1, trace_decay=0.9)[source]¶ Sarsa(λ) algorithm


SALES PAGE!
Salmon Cookies ©
Home
Location generator
City
Min customer traffic per hour
Max customer traffic per hour
Average Cookies per customer
Walleye
Crab
Salmon
Oyster
Generate
Total Sales in our Six Locations!!


quadrature module¶
-
quadrature.
block_to_regular
(mat)[source]¶ This function converts an sp.Block_Matrix to an sp.Matrix with the same elements
- Parameters
mat – sp.Block_Matrix to be converted
- Returns
sp.Matrix with the same elements as mat
-
quadrature.
get_weights
(j)[source]¶ This function determines the quadrature weights for n-Harmonic splines quadrature using the P_jk basis
- Parameters
j – maximum degree of polynomial used for quadrature
- Returns
np.array of quadrature weights for the basis {P_01, P_02, P_03, …, P_j2, P_j3}
-
quadrature.
ints_vec
(j)[source]¶ This function computes the integrals of {P_01, P_02, P_03, …, P_j2, P_j3}.
- Parameters
j – maximum degree of polynomial
- Returns
np.array of integrals of {P_01, P_02, P_03, …, P_j2, P_j3}
-
quadrature.
make_big_mat
(j)[source]¶ This function creates the block form of the generalized vortex method for interpolation
- Parameters
j – maximum degree of polynomial used for quadrature
- Returns
sp.Block_Matrix representing the generalized vortex method for interpolation
-
quadrature.
make_block
(ind1, ind2)[source]¶ This function is used to generate the blocks in the block-matrix form of the generalized vortex method for interpolation.
- Parameters
ind2 (ind1,) – block matrix indices in the block form of the
vortex method for interpolation (generalized) –
- Returns
sp.Matrix block C_ij in the block form of the generalized vortex method for interpolation
-
quadrature.
make_vortex
(max_level)[source]¶ This function generates a list of addresses for the vertices chosen for interpolation using the “vortex method.”
- Parameters
max_level – integer representing the level of SG used for interpolation
- Returns
list of addresses for the vertices chosen for interpolation using the “vortex method.
-
quadrature.
quad_int
(func, j)[source]¶ This function calculates the quadrature integral for a given function.
- Parameters
func – function whose input is the address of a point on SG
to the convention in monomials.py) ((according) –
j – maximum degree of polynomial used for quadrature
- Returns
approximate integral of func
-
quadrature.
vandermonde
(j)[source]¶ This function creates the interpolation “Vandermonde” matrix used for determining quadrature weights using up to j-harmonic splines.
- Parameters
j – maximum degree of harmonic spline used
- Returns
np.array that is the interpolation matrix used for determining quadrature weights using up to j-harmonic splines.


PRC results: November 2019 geologist licensure examination
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Improve user experience by separating sections in different colors according to your content and any other use that can give your imagination
AngularJS, Google Material Design, Boostrap, GitHub Pages, Ionicons of Ionic Framework and myself


Hello Web!
I love maps. The oldest known world map is the Babylonian Map of the World known as the Imago Mundi, from 5 BCE. This map, found in southern Iraq in a city called Sippar, shows a small bit of the known world as the Babylonians knew it centuries ago. This map was formed out of a clay tablet and was found north of the ancient city of Babylon, on the fertile east bank of the Euphrates River.
The map shows the Babylonian perspective of the earth and the heavens through the eyes of the Babylonians themselves, putting the city of Babylon in the center of the map. Much like other civilizations have done with Athens or Jerusalem, Babylon was put at the center because it was the center of life for the thousands of people that lived there - this was the only perspective they had without the uses of modern day technologies such as satellite earth observation.
ShinyApp element nesting: to be refined
Thunderforest Map API doesn't load/add.GeoJson
QGIS2web "MapBox JS" crashes python execution
QGIS2web "Open Layers" no-support geolocate user
troubleshooting favicon animation script


Hello My Name is
Maximiliano Lozada
Please take a look at my Projects!
The about page is a quick summary on ME!
The contact allows an option to reach out.


Jitsik's goal is to create a stationary in-car driving simulator for autonomous driving, in order to educate people about the technology in a safe way. We believe that autonomous transportation is going to revolutionize the automotive industry, and we want to help driving schools to adapt to a new market and new customers.
Jitsik has been given funding and support from Drexel University. The university has provided the team with a spot at their startup incubator as well as created many helpful connections for the company. The Jitsik team is very grateful of their partnership with Drexel University.


Before Change
for param in self.params1d]
if per_channel_i > 0.5:
input_dtype = image.dtype
image_aug = image.astype(np.float64)
for c in sm.xrange(nb_channels):
samples_i_c = [sample_i[c] for sample_i in samples_i]
args = tuple([image[..., c]] + samples_i_c)
image_aug[..., c] = self.func(*args)
After Change
input_dtype = image.dtype
// TODO This was previously a cast of image to float64. Do the
// adjust_* functions return float64?
result = []
for c in sm.xrange(nb_channels):
samples_i_c = [sample_i[c] for sample_i in samples_i]
args = tuple([image[..., c]] + samples_i_c)
result.append(self.func(*args))
image_aug = np.stack(result, axis=-1)
image_aug = image_aug.astype(input_dtype)
else:
// don"t use something like samples_i[...][0] here, because
// that returns python scalars and is slightly less accurate


McLovin
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6.10. The break StatementA break statement terminates the nearest enclosing while, do while, for, or switch statement. Execution resumes at the statement immediately following the terminated statement. For example, the following loop searches a vector for the first occurrence of a particular value. Once it's found, the loop is exited: vector<int>::iterator iter = vec.begin(); while (iter != vec.end()) { if (value == *iter) break; // ok: found it! else ++iter; // not found: keep looking }// end of while if (iter != vec.end()) // break to here ... // continue processing In this example, the break terminates the while loop. Execution resumes at the if statement immediately following the while. A break can appear only within a loop or switch statement or in a statement nested inside a loop or switch. A break may appear within an if only when the if is inside a switch or a loop. A break occurring outside a loop or switch is a compile-time error. When a break occurs inside a nested switch or loop statement, the enclosing loop or switch statement is unaffected by the termination of the inner switch or loop: string inBuf; while (cin >> inBuf && !inBuf.empty()) { switch(inBuf[0]) { case '-': // process up to the first blank for (string::size_type ix = 1; ix != inBuf.size(); ++ix) { if (inBuf[ix] == ' ') break; // #1, leaves the for loop // ... } // remaining '-' processing: break #1 transfers control here break; // #2, leaves the switch statement case '+': // ... } // end switch // end of switch: break #2 transfers control here } // end while The break labeled #1 terminates the for loop within the hyphen case label. It does not terminate the enclosing switch statement and in fact does not even terminate the processing for the current case. Processing continues with the first statement following the for, which might be additional code to handle the hyphen case or the break that completes that section. The break labeled #2 terminates the switch statement after handling the hyphen case but does not terminate the enclosing while loop. Processing continues after that break by executing the condition in the while, which reads the next string from the standard input. |


{% if not admin %}
Elliot Alderson is a cybersecurity engineer and vigilante hacker who lives in New York City. He is suspected to be a member of the vigilante hacker group fs0ciety
Elliot suffers from social anxiety disorder, clinical depression, delusions and paranoia.
Threat: Severe
He is not Elliot alderson, he's the mastermind.This is his reality
"Sometimes I dream of saving the world, saving everyone from the invisible hand"
If you made it till here, congratulations, you have probably maxed out the web challenges. Now it's time to let go.
c0ntr01 i$ 4n Il1us1oN. L3t GO
{{flag}}


In this study, you will be asked to compare different trends or value differences in charts. You will be shown a series of different charts and asked questions about them. After you have seen the charts, we will ask you some basic questions about interpreting charts and graphs, and then ask for some basic demographic data.
You will see up to three different chart types. You will be asked about how you estimate the differences in values in these charts: how quickly are the data increasing or decreasing? How different is one value from another?
You will see two different chart types. You will be asked about how you estimate the differences in values in these charts: how quickly are the data increasing or decreasing? How different is one value from another?
Do not refresh or reload the page during the task, as this will erase your progress.
Click the "Ready" button to begin the pretest.


| GEOS SDK TechDocs
|
| 5 Directory Structure
If you are having trouble starting the simulation or attaching Swat, consult the table below. The most common known difficulties are listed.
-
GEOS window dies immediately.
-
Run the EC version and attach Swat. Does it die with the error LS_CANNOT_LOCATE_KERNEL?
The working directory of the
NT GEOS
window must be a target directory with an
.ini
file and device subdirectories.
Does Swat report FSHOF_SET_FILE_NAME_PASSED_TO_SKELETON_DRIVER, ATTEMPTED_TO_PERFORM_UNSUPPORTED_FUNCTION_
BEFORE_APPROPRIATE_IFS_DRIVER_WAS_LOADED, or TOO_MANY_PRIMARY_FSDs?
There is a problem with the file system driver. Check
.ini
file settings and
setver
listing, referring to NT Configuration
.
-
GEOS is not in a window.
-
It should have a title bar and look like a window.
Verify that you have a text loader (
loader{ec}.exe
).
Verify that
geosvdd.dll
is in your path.
Verify that you are using an
NT
video driver under
[screen 0]
in your
.ini
file (probably
simp4bi{t/e}
).
-
GEOS cannot launch, reporting:
Can't open named pipe
-
Are you already running NT GEOS?
Only one copy can run at a time.
-
Swat cannot connect, reporting:
Can't contact GEOS using the Named Pipe: \\.\pipe\swatpipe
-
Are you running the demo with a Swat stub (
s.bat
or
ss.bat
)? Did you immediately try to attach?
If you are running the correct demo, try to attach again. You may have attempted to attach before the Swat stub was ready.
-
The keyboard doesn't work.
-
Is the NT GEOS window active? It should have a blue title bar.
Click in the window to make it active.
-
GEOS isn't running a window.
-
Check your
.ini
file (and [paths] referents) for correct keyboard setting (or
pini keyboard
in swat); you must use the
gdikbd
keyboard driver.
-
The keyboard seems to fail suddenly.
-
Ctrl or Alt keys may be "stuck" in
GEOS
. Hit Ctrl, Alt, Caps Lock, and Shift a few times to clear them.
-
Extended-character-set dialog will not come up.
-
Verify that
altGr = true
under category
[GDI keyboard]
is set in your
.ini
file (or referent).
-
Swat's
srcwin
command fails, reporting:
Window too small
-
The default NT command-window size is too small for the default srcwin. There are two fixes:
(1) Reduce the srcwin buffer size to match your window size with the Swat command
srcwin 20.
(2) Restart Swat from a larger window. (Size changes during a session are not recognized by Swat.) Your default window size can be increased by changing the window-size property of your command windows, or just your Swat shortcut.
-
Swat does not set mouse-click breakpoints.
-
Make sure quick-edit mode is off in your Swat window.
-
GEOS hangs until Swat window selected.
-
Have foreground/background task priorities been set equal?
Check under the
System
module of the Control Panel.
-
GEOS hangs or
.ini
file corrupt.
-
Run the EC version and attach Swat. Is the
.ini
file corrupt?
Open and re-save it using
NT
or
DOS
edit
to restore
CR-LF
's.
-
GEOS does not emulate sounds.
-
To test sounds in your application, you must use an actual device. (Sound has been disabled entirely to avoid the spurious sounds produced by the
PC
-
DOS
driver, in your .
INI
files,
SOUND
=
OFF
under [
UI
].)
-
pmake
fails, reporting:
Couldn't find geos.mk.
-
Set environment variable
ROOT_DIR
(to
C:\PCGEOS
, e.g.).
-
pmake
fails, reporting:
Couldn't find stddef.h
-
Set environment variable
GOC_COMPILER_DIR
(to
C:\BC45
, e.g.).
| GEOS SDK TechDocs
|
| 5 Directory Structure


Across: 1. Clergyman’s dog took food (6) 4. Get too big for boat ride after gout treatment (7) 9. Elation about six found untouched (9) 10. Funny figure grabs redhead (5) 11. Family force Bob to produce sovereigns (5) 12. Conservative is after present collection (9) 13. In sun, acne changes (7) 15. Stop O’Connor first! (6) 17. Assist to achieve balance (6) 19. Set out a dreary arrangement (7) 22. Instrument surrounds Marion with sound (9) 24. Force into lake! (5) 26. Otherwise I am taken in by Mrs Tanner (5) 27. Entice leading writer to show remorse (9) 28. Stop American returning with pass (7) 29. Antipodean man? (6) Down: 1. Livingstone follows smart bird... (7) 2. ...Flyer featured in Brave New World (5) 3. At last Jonathan almost leads Andrew to beauty spot (9) 4. In Dover federal agents get stuffed! (7) 5. Royal family dunderhead returns in defeat (5) 6. Oily Stour flows madly (9) 7. Second garden city in the west, newly built (6) 8. Unending fuss about one moment of being well-known (6) 14. Rat kisses stars! (9) 16. Lively agent goes round both ways (9) 18. Very quietly thrown out and sent away (7) 19. Northern drama about Michaela’s man (6) 20. Penny is wearing dreary cloth (7) 21. Casts off, carrying roundhead in tears (6) 23. Honours egghead for being fat?! (5) 25. Apprehend destruction around the north (3 2)


Hi,
I now have my MCU posting nicely to EMONCMS on our server but for some reason the graphs wont show, either from the FEEDS tab, the VIS tab or the DASHBOARD?
My DATATYPE is RealTime, my ENGINE is TimeStore - on the INPUT tab the Process shows as LOG.
When I try to view a graph I can see the buttons controlling Day, Week, Zoom etc but no frame is drawn, no data, no key, no axis etc - just blank - see image below.
Not sure where to even begin to look to solve this one?
Any ideas much appreciated.
Re: Graphs not showing in EMONCMS?
I suspect that others are experiencing the same issue;
http://openenergymonitor.org/emon/node/2789#comment-15031
http://openenergymonitor.org/emon/node/2806
Hopefully it will get sorted shortly.
Paul
Re: Graphs not showing in EMONCMS?
Thanks Paul,
Good to know its not me.... make a change :-)
Whilst you're there, I don't suppose you know what goes in this line in the setting.php file?
$timestore_adminkey = "";
Cheers
Re: Graphs not showing in EMONCMS?
When you install timestore it generates the "timestore_adminkey" and displays it on screen when the installation is finished. If you didn't make a note of it, you can find it by issuing the command:
which will display it on screen.
Re: Graphs not showing in EMONCMS?
Ah, so I have to install TimeStore in addion to EMONCMS !?
Are there any instructions on how to install onto a remote server - ie my webspace?
Re: Graphs not showing in EMONCMS?
Just run the command detailed by Phil, and copy the admin key into your settings.php file.
Paul
Re: Graphs not showing in EMONCMS?
Thanks Paul
I'm not on a Raspi but on a normal web server... does that make any odds?
Not sure where to enter the command?
Re: Graphs not showing in EMONCMS?
What is your web server, what hardware is it running on?
Paul
Re: Graphs not showing in EMONCMS?
Hi Paul,
MySQL running on, I think, a Linux machine somewhere in the world. Looks like it has SSH server access but I need to ask the admin folk to grant me permission - is that where I need to go? I do have access to PHPMyAdmin though.
Re: Graphs not showing in EMONCMS?
PHPMyAdmin won't help, this isn't a database issue, but not sure how to advise you, as it depends how much access to the system your provider allows.
Paul
Re: Graphs not showing in EMONCMS?
Same problem here : http://openenergymonitor.org/emon/node/2867
My system is Ubuntu 10.04, followed instructions for "Linux install".
I've done nothing about Timestore, got the sources via git clone. No adminkey.txt.
Re: Graphs not showing in EMONCMS?
Get your timestore key by;
and copy it to your settings.php file.
Reboot.
Paul
Re: Graphs not showing in EMONCMS?
No, you dont understand.
I have installed Emoncms following instructions here : http://emoncms.org/site/docs/installlinux
Then, in a shell :
So we have a Timestore Emoncms without doing anything (patching or something like that).
Re: Graphs not showing in EMONCMS?
Ok, a little step forward :
I have installed the Timestore by following instruction for Rasberry Pi. I just should add a "apt-get install build-essential" before everything :)
Now, I have a timestore up and running and a key. I copied the key to settings.php. And now, I'm falling back to thread http://openenergymonitor.org/emon/node/2806
Same errors same logs.
Re: Graphs not showing in EMONCMS?
Ok, found a solution.
A fresh new install on a new VM with Ubuntu 12.04 (instead of 10.04). I first installed the Timestore as described in Raspberry documentation (install from scratch). Then I installed Emoncms following instructions found on "Linux install".
Now, I have graphs Feeds (but you need to zoom in when you select 'DAY' because it's just starting), Vis and Dashboard.
Problem resolved for me :)


--- layout: single permalink: /keep-learning/ title: "Keep on learning" excerpt: "what I learnt building webapps" author_profile: false class: portfolio header: overlay_image: computernotebook-blur.jpg --- {% include base_path %} {% comment %}
This is a draft portfolio I built in two days as part of my job in the Netherlands project.
You can follow the project history and status in this repository


{% include "includes/nhs.uk/head.html" %} {% include "includes/nhs.uk/scripts.html" %}
{% include "includes/prototype-warning.html" %}Use this service if you need to make an appointment with your GP or another healthcare professional.
Use this service if you need to:
• register for the first time
• register with a new practice after moving
• register someone else


deleteUser lets you delete a user and all their data from the server. A user must be signed in first. The user's data can still be recovered within 30 days. This API will return a promise that gets resolved once the user account has been marked for deletion.
userbase.deleteUser()
.then((user) => {
// user marked for deletion on the server
})
.catch((e) => console.error(e))


1- User Story: I can pass a string as a parameter, and it will check to see whether that string contains either a unix timestamp or a natural language date (example: June 06, 1993).
2- User Story: If it does, it returns both the Unix timestamp and the natural language form of that date.
3- User Story: If it does not contain a date or Unix timestamp, it returns null for those properties.
Example
https://felipe-fcc-timestamp.glitch.me/June%2006,%201993
https://felipe-fcc-timestamp.glitch.me/739324800
Output
{"unix":739324800,"natural":"Sun Jun 06 1993"}
If error
{"unix":null,"natural":"Invalid Date"}


Duplicate File List Entries
This file has the same name as an existing entry in the file list. Choose whether to replace the existing file, add a new, duplicate, file list entry or abandon the insertion.


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Duis aute irure dolor in velit esse cillum dolore eu fugiat nulla.
Duis aute irure dolor in velit esse cillum dolore eu fugiat nulla.
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| DOSE: |
1440 mg |
oral |
Kava |
(capsule) |
| |
1440 mg |
oral |
Valerian |
(capsule) |
I had a bottle of a product called Kava Max, which contained 55 mg Kavalactones and 55 mg Valerian root per pill. I had taken 6 one time, and had no effects at all. It didn't even make me sleepy, and the bottle indicated 1 pill would be enough. I did some research and found that when in high doses (> 1 gram) there is some mild narcotic activity.
T+00:05
I fasted for 6 hours and thought about how many I should take. I decided to take all the rest (26) as it seemed like a relatively safe drug. It has a really bitter, almost phlegmy taste. I managed to get down all 26 without vomiting.
T+01:00
I'm still not feeling anything. I'm beginning to wonder if I need the actual root for any effects.
T+01:30
Slight numbing in my face, I feel a little congested, but it may be because I'm getting over a cold. Sort of relaxed, it's about 9:30 now and I usually don't get tired until about 11.
T+02:05
Definately feeling something. Very bizzare, very subtle, seems like my thought patters are a bit off. Sort of like a marijuana afterglow. I have perfect coordination, and I can speak coherently. This may just be a placebo effect.
Next Day: I just woke up after a deep 10 hour sleep. I went to bed early, lying there for about 2 hours. I was stuck with a strange feeling like I was right about to fall asleep. Lying in bed was very comfortable, when I got up to get a glass of water, I felt like I wasn't really walking, like I was still in the same place. It was a vaguely disconnected feeling, but nowhere near intense. I also realized I was breathing slower than usual. When I finally feel asleep, I have very vivid, realistic dreams. Kava + Valerian was a very subtle combination, almost unnoticable. It wasn't worth paying for, but it's still an interesting experience.
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.