first commit

.gitignore

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+.vscode
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+!speedfiber.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+.python-version
+config/wisdom_pyfftw_4096.npy

run2.py

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+import pypho
+from pypho import functions as pf
+
+# from pypho_functions import *
+# from pypho import functions as pf
+import numpy as np
+import copy
+import matplotlib.pyplot as plt
+from scipy.interpolate import UnivariateSpline
+
+# Define network elements
+gp       = pypho.setup(nos =2**4, sps = 256, symbolrate = 10.0e9)
+
+
+symbolsrc   = pypho.symbols(glova = gp, nos = gp.nos, pattern = 'debruijn')
+esigsrc  = pypho.signalsrc(glova = gp, pulseshape = 'rect' , fwhm = 0.85)
+sig_1550 = pypho.lasmod(glova = gp, power = 0, Df = 0, theta = 0)
+SSMF     = pypho.fiber(glova = gp, l = 60.0e3,  D = 17.0,   S = 0, alpha = 0.2e-12, gamma = 1.4e-12, phi_max = 10.0)
+
+# Simulation
+bits = symbolsrc()
+esig = esigsrc(bitsequence = bits)
+
+E_Tx = sig_1550(esig = esig)                                                      
+
+
+
+# Define your parameters here
+T_0 = 25.0e-12
+z = SSMF.l
+D = 17.0
+beta_2, beta_3 = pf.DS_to_beta(17.0, 0, gp.lambda0)
+
+
+# Create a single pulse with gaussian shape (not power!)
+E_Tx[0]['E'][0] = E_Tx[0]['E'][0]*0 + np.exp(-(gp.timeax()-gp.timeax()[-1]/2)**2 / (2.0*T_0**2) )
+
+E = copy.deepcopy(E_Tx)
+
+
+# Fiber transmission
+E = SSMF(E = E, D = D, l = z)
+#sys.exit()
+
+# Get FWHM of the input signal E_Tx
+spline_0 = UnivariateSpline(gp.timeax()*1.0e12, np.abs(E_Tx[0]['E'][0])-1*np.max(np.abs(E_Tx[0]['E'][0]))/2, s=0)
+r1_0, r2_0 = spline_0.roots() # find the roots
+# Get FWHM of the output signal E
+spline_1 = UnivariateSpline(gp.timeax()*1.0e12, np.abs(E[0]['E'][0])-1*np.max(np.abs(E[0]['E'][0]))/2, s=0)
+r1_1, r2_1 = spline_1.roots() # find the roots
+
+T_FWHM_0 = (r2_0-r1_0) * 1e-12
+T_0_plot = T_FWHM_0 / 2.35482
+T_FWHM_1 = (r2_1-r1_1) * 1e-12
+L_D = (T_0_plot)**2  / np.abs(beta_2)
+
+# Plot Input and Output signal 
+plt.figure(1)
+plt.plot(gp.timeax()*1.0e12, np.abs(E_Tx[0]['E'][0]), 'r', label='$E(0, t)$')
+plt.plot(gp.timeax()*1.0e12, np.abs(E[0]['E'][0]),    'g', label=f'$E(z={SSMF.l/1000}km, t$)')
+
+plt.annotate(text='', xy=(r1_0,np.max(np.abs(E_Tx[0]['E'][0]))/2), xytext=(r2_0,np.max(np.abs(E_Tx[0]['E'][0]))/2), arrowprops=dict(arrowstyle='<->'))
+plt.text(np.max((r2_0,r2_1))+10, np.max(np.abs(E_Tx[0]['E'][0]))/2, f'$T_{{FWHM,0}}$ = {r2_0-r1_0:.2f} ps', fontsize=12, horizontalalignment='left', verticalalignment='center')
+plt.annotate(text='', xy=(r1_1,np.max(np.abs(E[0]['E'][0]))/2), xytext=(r2_1,np.max(np.abs(E[0]['E'][0]))/2), arrowprops=dict(arrowstyle='<->'))
+plt.text(np.max((r2_0,r2_1))+10, np.max(np.abs(E[0]['E'][0]))/2, f'$T_{{FWHM,1}}$ = {r2_1-r1_1:.2f} ps', fontsize=12, horizontalalignment='left', verticalalignment='center')
+
+plt.ylabel('$|E|$ a.u.')
+plt.xlabel('Time $t$ [ps]')
+plt.grid()
+legend = plt.legend(loc='upper right')
+# Print the results
+print(f'Input signal 1/e-pulse width by definition: T_0 = {T_0*1e12:.6f} ps')
+print(f'Input signal 1/e-pulse width from plot: T_0 = {T_0_plot*1e12:.6f} ps')
+print(f'Input signal FWHM-pulse width from plot: T_FWHM,0 = {T_FWHM_0*1e12:.6f} ps')
+print(f'Output signal FWHM-pulse width from plot: T_FWHM,1 = {T_FWHM_1*1e12:.6f} ps')
+print(f'Calculated output FWHM-pulse width: T_FWHM,1 = {T_FWHM_0 * np.sqrt(1 + (z/L_D)**2)*1e12:.6f} ps')
+
+plt.show()