[sympy] GSOC Proposal: Idea Circuits

[Spiros Ts]

Author: Spyros Tsioupros
Github: https://github.com/Spiros7bit

-Idea: Circuits
The idea I have to suggest is to create a module that will deal with 
circuits. This is an idea that I propose and want to undertake as a project 
for GSOC 24.

I saw that there is no such package that has anything to do with circuits. 
I thought it was very appropriate for the physics folder. As I plan to 
start with the implementation of passive elements (Resistors, Capacitors 
etc) then I will continue with the implementation of active elements 
(Transistors, OpAmps, Comparators etc). Later I will implement more complex 
circuits with them (filters, amplifiers, oscillators etc). If I have time I 
plan to implement non-linear circuits (Chua circuit, Memristor Component 
etc.).

Difficulty:
Intermediate-Advance

Project length:
175 hours (or 350 hours)

-About me:
I am a 5th year student of the International University of Greece (IHU) in 
the department of Information and Electronic Systems Engineering. I have 
also participated in an open source project before (the Tiny Tapeout 04 
). This year I decided to register 
for the Google Summer of Code and I believe that sympy has many topics that 
interest me. Topics that I would like to get involved with and learn about.

Yours sincerely, Spyros

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Re: [sympy] Re: ModuleNotFoundError: No module named 'sympy.plotting.series'

[Spiros Ts]

It was my fault.
I was trying to run the code in another folder and it was giving me the
error

*from sympy.plotting.series import
LineOver1DRangeSeriesModuleNotFoundError: No module named
'sympy.plotting.series'*  .

But when I run the code into a folder where the sympy code folder is also
located the problem is solved.

Thank you for your time.

Στις Δευ 4 Μαρ 2024 στις 3:50 μ.μ., ο/η Shishir Kushwaha <
kushwahashishir1...@gmail.com> έγραψε:

> I dont see any particular problem with the code , however series does not
> seem to be a sub-module in your sympy plotting module , try re-running it
> or removing and putting back sympy .
>
> On Monday 4 March 2024 at 01:49:55 UTC+5:30 tsioupr...@gmail.com wrote:
>
>> The code is from this pull request [
>> https://github.com/sympy/sympy/pull/25251]
>>
>> from math import isclose
>> from sympy import lambdify, latex
>> from sympy.core.numbers import I, pi
>> from sympy.core.symbol import Dummy
>> from sympy.functions.elementary.complexes import (Abs, arg)
>> from sympy.functions.elementary.exponential import log
>> from sympy.abc import s, p, a
>> from sympy.external import import_module
>> from sympy.physics.control.control_plots import \
>> (pole_zero_numerical_data, pole_zero_plot,
>> step_response_numerical_data,
>> step_response_plot, impulse_response_numerical_data,
>> impulse_response_plot, ramp_response_numerical_data,
>> ramp_response_plot, bode_magnitude_numerical_data,
>> bode_phase_numerical_data, bode_plot)
>> from sympy.physics.control.lti import (TransferFunction,
>> Series, Parallel, TransferFunctionMatrix)
>> from sympy.polys.polytools import Poly
>> from sympy.plotting.series import LineOver1DRangeSeries
>>
>> matplotlib = import_module(
>> 'matplotlib', import_kwargs={'fromlist': ['pyplot']},
>> catch=(RuntimeError,))
>>
>> numpy = import_module('numpy')
>>
>> if matplotlib:
>> plt = matplotlib.pyplot
>>
>> if numpy:
>> np = numpy  # Matplotlib already has numpy as a compulsory
>> dependency. No need to install it separately.
>>
>> tf1 = TransferFunction(1, p**2 + 0.5*p + 2, p)
>> tf2 = TransferFunction(p, 6*p**2 + 3*p + 1, p)
>> tf3 = TransferFunction(p, p**3 - 1, p)
>> tf4 = TransferFunction(10, p**3, p)
>> tf5 = TransferFunction(5, s**2 + 2*s + 10, s)
>> tf6 = TransferFunction(1, 1, s)
>> tf7 = TransferFunction(4*s*3 + 9*s**2 + 0.1*s + 11, 8*s**6 + 9*s**4 + 11,
>> s)
>>
>> x, magnitude_data  = bode_magnitude_numerical_data(tf1)
>> rad, phase_data = bode_phase_numerical_data(tf1, phase_unit='deg')
>> print(len(magnitude_data[0: len(phase_data)]))
>> print(len(phase_data))
>>
>> magnitude_data = magnitude_data[0: len(phase_data)] #cut some of the
>> last data of magnitude because len(phase_data) = len(magnitude_data)
>>
>>
>>
>> #plt.plot(phase_data, magnitude_data)
>> #plt.yscale('log')
>>
>> #plt.show()
>>
>>
>> def nichols_numerical_data(system, initial_omega=0.01, final_omega=100,
>> **kwargs):
>> """
>> Returns the numerical data of Nichols plot of the system.
>> It is internally used by ``nichols_plot`` to get the data
>> for plotting Nichols plot. Users can use this data to further
>> analyse the dynamics of the system or plot using a different
>> backend/plotting-module.
>> Parameters
>> ==
>> system : SISOLinearTimeInvariant
>> The system for which the pole-zero data is to be computed.
>> initial_omega : Number, optional
>> The initial value of frequency. Defaults to 0.01.
>> final_omega : Number, optional
>> The final value of frequency. Defaults to 100.
>> Returns
>> ===
>> tuple : (phase_points, mag_points)
>> phase_points = phase values of the Nichols plot.
>> mag_points = magnitude values of the Nichols plot.
>> Raises
>> ==
>> NotImplementedError
>> When a SISO LTI system is not passed.
>> When time delay terms are present in the system.
>> ValueError
>> When more than one free symbol is present in the system.
>> The only variable in the transfer function should be
>> the variable of the Laplace transform.
>> Examples
>> 
>> >>> from sympy.abc import s
>> >>> from sympy.physics.control.lti import TransferFunction
>> >>> from sympy.physics.control.control_plots import
>> nichols_numerical_data
>> >>> tf1 = TransferFunction(-(0.1)*s**3 - (2.4)*s**2 - 181*s - 1950,
>> s**3 + (3.3)*s**2 + 990*s + 2600, s)
>> >>> nichols_numerical_data(tf1)   # doctest: +SKIP
>> (array([179.83501857, 179.67004337, 179.50508061, ..., 166.86071969,
>> 166.86233751, 166.8639549 ]),
>> array([ -2.49883392,  -2.49901149,  -2.49930742, ..., -20.5300856,
>> -20.52996573, -20.52984591]))
>> See Also
>> 
>> nichols_plot
>> """
>> #_check_system(system)
>> expr = system.to_expr()
>>
>> _w = Dummy("w", real=True)
>> repl = I*_w
>> w_expr = 

Re: [sympy] Re: ModuleNotFoundError: No module named 'sympy.plotting.series'

[Spiros Ts]

The code is from this pull request [
https://github.com/sympy/sympy/pull/25251]

from math import isclose
from sympy import lambdify, latex
from sympy.core.numbers import I, pi
from sympy.core.symbol import Dummy
from sympy.functions.elementary.complexes import (Abs, arg)
from sympy.functions.elementary.exponential import log
from sympy.abc import s, p, a
from sympy.external import import_module
from sympy.physics.control.control_plots import \
(pole_zero_numerical_data, pole_zero_plot, step_response_numerical_data,
step_response_plot, impulse_response_numerical_data,
impulse_response_plot, ramp_response_numerical_data,
ramp_response_plot, bode_magnitude_numerical_data,
bode_phase_numerical_data, bode_plot)
from sympy.physics.control.lti import (TransferFunction,
Series, Parallel, TransferFunctionMatrix)
from sympy.polys.polytools import Poly
from sympy.plotting.series import LineOver1DRangeSeries

matplotlib = import_module(
'matplotlib', import_kwargs={'fromlist': ['pyplot']},
catch=(RuntimeError,))

numpy = import_module('numpy')

if matplotlib:
plt = matplotlib.pyplot

if numpy:
np = numpy  # Matplotlib already has numpy as a compulsory dependency.
No need to install it separately.

tf1 = TransferFunction(1, p**2 + 0.5*p + 2, p)
tf2 = TransferFunction(p, 6*p**2 + 3*p + 1, p)
tf3 = TransferFunction(p, p**3 - 1, p)
tf4 = TransferFunction(10, p**3, p)
tf5 = TransferFunction(5, s**2 + 2*s + 10, s)
tf6 = TransferFunction(1, 1, s)
tf7 = TransferFunction(4*s*3 + 9*s**2 + 0.1*s + 11, 8*s**6 + 9*s**4 + 11, s)

x, magnitude_data  = bode_magnitude_numerical_data(tf1)
rad, phase_data = bode_phase_numerical_data(tf1, phase_unit='deg')
print(len(magnitude_data[0: len(phase_data)]))
print(len(phase_data))

magnitude_data = magnitude_data[0: len(phase_data)] #cut some of the last
data of magnitude because len(phase_data) = len(magnitude_data)



#plt.plot(phase_data, magnitude_data)
#plt.yscale('log')

#plt.show()


def nichols_numerical_data(system, initial_omega=0.01, final_omega=100, **
kwargs):
"""
Returns the numerical data of Nichols plot of the system.
It is internally used by ``nichols_plot`` to get the data
for plotting Nichols plot. Users can use this data to further
analyse the dynamics of the system or plot using a different
backend/plotting-module.
Parameters
==
system : SISOLinearTimeInvariant
The system for which the pole-zero data is to be computed.
initial_omega : Number, optional
The initial value of frequency. Defaults to 0.01.
final_omega : Number, optional
The final value of frequency. Defaults to 100.
Returns
===
tuple : (phase_points, mag_points)
phase_points = phase values of the Nichols plot.
mag_points = magnitude values of the Nichols plot.
Raises
==
NotImplementedError
When a SISO LTI system is not passed.
When time delay terms are present in the system.
ValueError
When more than one free symbol is present in the system.
The only variable in the transfer function should be
the variable of the Laplace transform.
Examples

>>> from sympy.abc import s
>>> from sympy.physics.control.lti import TransferFunction
>>> from sympy.physics.control.control_plots import
nichols_numerical_data
>>> tf1 = TransferFunction(-(0.1)*s**3 - (2.4)*s**2 - 181*s - 1950,
s**3 + (3.3)*s**2 + 990*s + 2600, s)
>>> nichols_numerical_data(tf1)   # doctest: +SKIP
(array([179.83501857, 179.67004337, 179.50508061, ..., 166.86071969,
166.86233751, 166.8639549 ]),
array([ -2.49883392,  -2.49901149,  -2.49930742, ..., -20.5300856,
-20.52996573, -20.52984591]))
See Also

nichols_plot
"""
#_check_system(system)
expr = system.to_expr()

_w = Dummy("w", real=True)
repl = I*_w
w_expr = expr.subs({system.var: repl})

mag = 20*log(Abs(w_expr), 10)
phase = arg(w_expr)*180/pi

x = np.linspace(initial_omega, final_omega, 1)

#mag_func = lambdify(_w, mag)
#phase_func = lambdify(_w, phase)
hz, mag_points  = LineOver1DRangeSeries(mag, x).get_points()
rad, phase_points = LineOver1DRangeSeries(phase, x).get_points()
mag_points = mag_points[0: len(phase_points)] #cut some of the last
data of magnitude because len(phase_data) = len(magnitude_data)

return phase_points, mag_points

def nichols_plot(system, initial_omega=0.01, final_omega=100,
 color='b', grid=False, show=True,**kwargs):
r"""
Returns the nichols plot of a continuous-time system.
Nichols Plot is a plot used in signal processing and control system
design
to determine the stability of a feedback system
Parameters
==
system : SISOLinearTimeInvariant type
The LTI SISO system for which the Ramp Response is to be computed.
initial_omega : Number, optional
The 

[sympy] ModuleNotFoundError: No module named 'sympy.plotting.series'

[Spiros Ts]

Author: Spiros Tsioupros
Github: https://github.com/Spiros7bit
email: tsioupr...@gmail.com 

Hallo, community, while I was trying to run a program this error popped up:

*from sympy.plotting.series import 
LineOver1DRangeSeriesModuleNotFoundError: No module named 
'sympy.plotting.series'*

More specifically, the error is in the line:
from sympy.plotting.series import LineOver1DRangeSeries
...

>From a small search I did I think the error has to do with the interpreter. 
Any information would be useful.

More information:
IDE: VSCode
Interpreter: Python Default
OS: Windows 11
sympy 1.12
mpmath 1.3.0
Python 3.10.11

Yours sincerely.

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Re: [sympy] Add some links to README.md

[Spiros Ts]

Thank you very much for the useful information.

Στις Κυρ 3 Μαρ 2024 στις 1:30 μ.μ., ο/η Jason Moore 
έγραψε:

> The test check failures you see are from something else, not your README
> changes. We don't check anything about the readme other than it being
> present.
>
> Jason
> moorepants.info
> +01 530-601-9791
>
>
> On Sun, Mar 3, 2024 at 12:09 PM Spiros Ts 
> wrote:
>
>> Author: Spiros Tsioupros
>> Github: https://github.com/Spiros7bit
>> email: tsiouprosspi...@gmail.com
>>
>> Hello community, I made a pull request to add some links to README.md.
>> While 63/68 checks are passed, 5 errors about test and
>> test_optional_dependencies are thrown. I had read in the Development
>> Workflow Process
>> <https://docs.sympy.org/dev/contributing/new-contributors-guide/workflow-process.html>
>> that we should write tests when making pull requests for code changes.
>>
>> My question is: Do we have to write a test when we make changes to
>> README.md or is the problem elsewhere?
>>
>> pull request link <https://github.com/sympy/sympy/pull/26294> is here.
>>
>> Yours sincerely.
>>
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>> .
>>
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> .
>

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[sympy] Add some links to README.md

[Spiros Ts]

Author: Spiros Tsioupros
Github: https://github.com/Spiros7bit
email: tsiouprosspi...@gmail.com

Hello community, I made a pull request to add some links to README.md. 
While 63/68 checks are passed, 5 errors about test and 
test_optional_dependencies are thrown. I had read in the Development 
Workflow Process 

 
that we should write tests when making pull requests for code changes.
  
My question is: Do we have to write a test when we make changes to 
README.md or is the problem elsewhere?

pull request link  is here.

Yours sincerely.

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