### PyPhotometry
#### Fully based on a Fortran legacy package to easily compute the photometric fluxes and magnitudes in different systems
email: [antineutrinomuon@gmail.com](mailto:antineutrinomuon@gmail.com), [jean@astro.up.pt](mailto:jean@astro.up.pt)
github repository: <a href="https://github.com/neutrinomuon/PyPhotometry">PyPhotometry</a>
last stable version: 0.0.6
© Copyright ®
J.G. - Jean Gomes @ 2023
<hr>
<img src="https://skillicons.dev/icons?i=python,fortran,c,numpy&theme=light"><br>
<img src="https://img.shields.io/pypi/pyversions/PyPhotometry"><img src="https://anaconda.org/neutrinomuon/PyPhotometry/badges/license.svg">
<hr>
<div align="center">
<img src='https://github.com/neutrinomuon/PyPhotometry/raw/main/tutorials/PyPhotometry.png' width='85%'>
</div>
<hr>
#### Requirements
The following packages are required to run this project:
- astropy>=5.0.4
- matplotlib>=3.7.1
- setuptools>=61.2.0
- SQLAlchemy>=1.4.32
and pyphot may be used for comparison and tests:
- pyphot>=1.4.4
You can install all the required packages by running the following command:
<pre>
pip install -r requirements.txt
</pre>
Additionally, you may optionally install pyphot for testing or comparison
purposes.
Please note that pyphot is not a mandatory requirement for running this
project and is only recommended if you intend to test or compare with it.
#### <b>RESUME</b>
<strong>PyPhotometry</strong> is a Python package that builds upon a
collection of Fortran 2003+ routines originally developed between 2003 and
2004. These routines are the foundation of the package and can be traced back
to that time period. The licensing details for the Fortran routines can be
found in the LICENSE.txt file included with the package.
The main purpose of PyPhotometry is to enable the computation of photometric
fluxes and magnitudes in various photometric systems. It offers support for
multiple magnitude systems, including the VEGA standard, the VEGA system
proposed by Bohlin and Gilland in 2004, the AB system, the TG standard system
(Thuan & Gunn), the WFPC2 system, the FOCA system at 2000, and also provides
an option without any calibration.
It's important to note that PyPhotometry does not include the Pyphot package
developed by M. Fouesneau, but it can be used for comparison purposes.
However, it is not mandatory to install Pyphot in order to use PyPhotometry. The PyPhotometry package comes with its own set of accompanying routines that provide the necessary functionality.
Original Fortran 2003+ routines date back to 2003-2004. Read the <a
href='https://github.com/neutrinomuon/PyPhotometry/blob/main/LICENSE.txt'>LICENSE.txt</a>
file.
PyPhotometry is a Python package based on a Fortran legacy package that allows
you to compute photometric fluxes and magnitudes in various photometric
systems. The package provides different magnitude systems, such as VEGA
standard, VEGA proposed by Bohlin and Gilland 2004, AB system, TG standard
system (Thuan & Gunn), WFPC2 system, FOCA at 2000, and without any
calibration.
Pyphot from M. Fouesneau is *NOT* part of the distribution, but used as a
comparison: <a
href='https://mfouesneau.github.io/pyphot/index.html#package-main-content'>https://mfouesneau.github.io/pyphot/index.html#package-main-content</a>. If
you want to install for comparison then:
<pre>
pip install pyphot
</pre>
However, it is not necessary for the usage of this package. This package is
meant for a comparison, but PyPhotometry legacy routines are more
general. Accompanying there are several other routines.
<hr>
#### <b>Brief Tutorial</b>
A brief tutorial can be found at <a
href='https://github.com/neutrinomuon/PyPhotometry/blob/main/tutorials/PyPhotometry%20-%20Example%201.ipynb'>PyPhotometry
Example1.ipynb</a>
#### <b>INSTALLATION</b>
You can easily install <a
href=https://pypi.org/project/PyPhotometry/>PyPhotometry</a> by using pip -
<a href='https://pypi.org/'>PyPI - The Python Package Index</a>:
<pre>
pip install PyPhotometry
</pre>
<br>or by using a generated conda repository <a
href='https://anaconda.org/neutrinomuon/PyPhotometry'>https://anaconda.org/neutrinomuon/PyPhotometry</a>:
<img src="https://anaconda.org/neutrinomuon/PyPhotometry/badges/version.svg"><img src="https://anaconda.org/neutrinomuon/PyPhotometry/badges/latest_release_date.svg"><img src="https://anaconda.org/neutrinomuon/PyPhotometry/badges/platforms.svg">
<pre>
conda install -c neutrinomuon pyphotometry
</pre>
<br>OBS.: Linux, OS-X and Windows pre-compilations available in conda.
You can also clone the repository and install by yourself in your machine:
<pre>
git clone https://github.com/neutrinomuon/PyPhotometry
python setup.py install
</pre>
<hr>
#### <b>METHOD & REFERENCES</b>
##### Magnitude Systems
The following magnitude systems are supported by PyPhotometry:
- VEGA standard: Based on the Bessel (2005), Cousins & Jones (1976), and Kitchin (2003) references.
- VEGA proposed by Bohlin and Gilland 2004;
- AB standard system: Based on Oke (1974) reference;
- TG standard system (Thuan & Gunn): Based on Oke & Gunn (1983), Schild (1984), Schneider et al. (1983), Thuan & Gunn (1976), and Wade et al. (1979) references;
- WFPC2 system: Based on the Stone (1996) reference;
- FOCA at 2000 system;
- Without any calibration.
##### Calibration Stars
PyPhotometry provides calibration stars used in the magnitude systems:
- VEGA spectrum: Intrinsic Flux - [erg/s/cm2/A].
- SUN spectrum: Intrinsic Flux - [erg/s/A].
- F subdwarf: Used to calibrate the Thuan & Gunn system.
For more details on the usage and options, please refer to the PyPhotometry
GitHub repository.
<hr>
#### <b>STRUCTURE</b>
The main structure of the directories and files are:
<pre>
PyPhotometry
├── Literature
│ └── Bohlin and Gilland (2004) - Absolute Flux Distribution of the SDSS Standard BD +17_4708.pdf
├── README.md
├── __pycache__
│ └── Filters.cpython-39.pyc
├── showdown.min.js
├── scripts
│ └── update_readme.py
├── index.html
├── LICENSE.txt
├── data
│ ├── IRAS.12mu.txt
│ ├── Herschel_SPIRE.PSW_ext.txt
│ ├── GalexNUV.txt
│ ├── SDSSg.txt
│ ├── 2MASSJ.txt
│ ├── WISE4.txt
│ ├── 2MASSKs.txt
│ ├── Herschel_SPIRE.PLW_ext.txt
│ ├── GalexFUV.txt
│ ├── filters.db
│ ├── Herschel_SPIRE.PMW_ext.txt
│ ├── IRAS.60mu.txt
│ ├── SDSSr.txt
│ ├── calibration_stars
│ │ ├── sun_reference_stis_001.fits
│ │ ├── Filters_ReadMe.txt
│ │ ├── kp00_6000.ascii
│ │ ├── Sun_LR.dat
│ │ ├── bd17d4708_stisnic_001.fits
│ │ ├── BD+17o4708.dat
│ │ ├── BD+17d4708.dat
│ │ ├── VegaLR_OLD.dat
│ │ ├── VegaLR.dat
│ │ └── Sun.dat
│ ├── 2MASSH.txt
│ ├── IRAS.100mu.txt
│ ├── WISE3.txt
│ ├── ListFilters.txt
│ ├── SDSSi.txt
│ ├── SDSSz.txt
│ ├── IRAS.25mu.txt
│ ├── SDSSu.txt
│ ├── WISE2.txt
│ └── WISE1.txt
├── setup.py
├── tutorials
│ └── PyPhotometry.png
├── src
│ ├── python
│ │ ├── __pycache__
│ │ ├── __init__.py
│ │ └── Photometry.py
│ └── fortran
│ ├── EvalFilters.compile
│ ├── IntegralALL.f90
│ ├── PropFilters.compile
│ ├── DataTypes.f90
│ ├── PropFilters.f90
│ ├── EvalFilters.cpython-39-x86_64-linux-gnu.so
│ ├── ReadFilters.f90
│ ├── GaussLegendreQuadrature.f90
│ ├── PropFilters.cpython-39-x86_64-linux-gnu.so
│ ├── makefile
│ ├── LINinterpol.f90
│ └── EvalFilters.f90
├── version.txt
├── PyPhotometry.egg-info
│ ├── PKG-INFO
│ ├── dependency_links.txt
│ ├── SOURCES.txt
│ ├── top_level.txt
│ └── requires.txt
└── build
├── lib.linux-x86_64-3.9
│ └── PyPhotometry
├── src.linux-x86_64-3.9
│ ├── PyPhotometry
│ ├── build
│ └── numpy
└── temp.linux-x86_64-3.9
├── ccompiler_opt_cache_ext.py
├── src
├── PyPhotometry
├── .libs
└── build
23 directories, 63 files
</pre>
<br>PyPhotometry.py is a python wrapper to the library in fortran called
PyPhotometry.flib. The fortran directory can be compiled separately for
each individual subroutine.
<hr>
#### ISSUES AND CONTRIBUTIONS
If you encounter any issues with this project, please feel free to submit an
issue on the GitHub repository. We appreciate your feedback and are committed
to improving the quality of our codebase.
If you'd like to contribute to this project, we welcome pull requests from the
community. Before submitting a pull request, please make sure to fork the
repository and create a new branch for your changes. Once your changes are
complete, submit a pull request and we'll review your code as soon as
possible.
For any questions or concerns about contributing, please contact the project
maintainer at antineutrinomuon@gmail.com. Thank you for your interest in
contributing to our project!
<hr>
#### <b>LICENSE</b>
This software is provided "AS IS" (see DISCLAIMER below). Permission to use,
for non-commercial purposes is granted. Permission to modify for personal or
internal use is granted, provided this copyright and disclaimer are included
in ALL copies of the software. All other rights are reserved. In particular,
redistribution of the code is not allowed without explicit permission by the
author.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
Raw data
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"description": "### PyPhotometry\n#### Fully based on a Fortran legacy package to easily compute the photometric fluxes and magnitudes in different systems\nemail: [antineutrinomuon@gmail.com](mailto:antineutrinomuon@gmail.com), [jean@astro.up.pt](mailto:jean@astro.up.pt)\n\ngithub repository: <a href=\"https://github.com/neutrinomuon/PyPhotometry\">PyPhotometry</a>\n\nlast stable version: 0.0.6\n\n\u00a9 Copyright \u00ae\n\nJ.G. - Jean Gomes @ 2023\n\n<hr>\n\n<img src=\"https://skillicons.dev/icons?i=python,fortran,c,numpy&theme=light\"><br>\n<img src=\"https://img.shields.io/pypi/pyversions/PyPhotometry\"><img src=\"https://anaconda.org/neutrinomuon/PyPhotometry/badges/license.svg\">\n\n<hr>\n\n<div align=\"center\">\n<img src='https://github.com/neutrinomuon/PyPhotometry/raw/main/tutorials/PyPhotometry.png' width='85%'>\n</div>\n\n<hr>\n\n#### Requirements\n\nThe following packages are required to run this project:\n\n- astropy>=5.0.4\n- matplotlib>=3.7.1\n- setuptools>=61.2.0\n- SQLAlchemy>=1.4.32\n\nand pyphot may be used for comparison and tests:\n\n- pyphot>=1.4.4\n\nYou can install all the required packages by running the following command:\n\n<pre>\npip install -r requirements.txt\n</pre>\n\nAdditionally, you may optionally install pyphot for testing or comparison\npurposes. \n\nPlease note that pyphot is not a mandatory requirement for running this\nproject and is only recommended if you intend to test or compare with it.\n\n#### <b>RESUME</b>\n\n<strong>PyPhotometry</strong> is a Python package that builds upon a\ncollection of Fortran 2003+ routines originally developed between 2003 and\n2004. These routines are the foundation of the package and can be traced back\nto that time period. The licensing details for the Fortran routines can be\nfound in the LICENSE.txt file included with the package.\n\nThe main purpose of PyPhotometry is to enable the computation of photometric\nfluxes and magnitudes in various photometric systems. It offers support for\nmultiple magnitude systems, including the VEGA standard, the VEGA system\nproposed by Bohlin and Gilland in 2004, the AB system, the TG standard system\n(Thuan & Gunn), the WFPC2 system, the FOCA system at 2000, and also provides\nan option without any calibration.\n\nIt's important to note that PyPhotometry does not include the Pyphot package\ndeveloped by M. Fouesneau, but it can be used for comparison purposes.\n\nHowever, it is not mandatory to install Pyphot in order to use PyPhotometry. The PyPhotometry package comes with its own set of accompanying routines that provide the necessary functionality.\n\nOriginal Fortran 2003+ routines date back to 2003-2004. Read the <a\nhref='https://github.com/neutrinomuon/PyPhotometry/blob/main/LICENSE.txt'>LICENSE.txt</a>\nfile.\n\nPyPhotometry is a Python package based on a Fortran legacy package that allows\nyou to compute photometric fluxes and magnitudes in various photometric\nsystems. The package provides different magnitude systems, such as VEGA\nstandard, VEGA proposed by Bohlin and Gilland 2004, AB system, TG standard\nsystem (Thuan & Gunn), WFPC2 system, FOCA at 2000, and without any\ncalibration.\n\nPyphot from M. Fouesneau is *NOT* part of the distribution, but used as a\ncomparison: <a\nhref='https://mfouesneau.github.io/pyphot/index.html#package-main-content'>https://mfouesneau.github.io/pyphot/index.html#package-main-content</a>. If\nyou want to install for comparison then:\n\n<pre>\npip install pyphot\n</pre>\n\nHowever, it is not necessary for the usage of this package. This package is\nmeant for a comparison, but PyPhotometry legacy routines are more\ngeneral. Accompanying there are several other routines.\n\n<hr>\n#### <b>Brief Tutorial</b>\n\nA brief tutorial can be found at <a\nhref='https://github.com/neutrinomuon/PyPhotometry/blob/main/tutorials/PyPhotometry%20-%20Example%201.ipynb'>PyPhotometry\nExample1.ipynb</a>\n\n#### <b>INSTALLATION</b>\n\nYou can easily install <a\nhref=https://pypi.org/project/PyPhotometry/>PyPhotometry</a> by using pip -\n<a href='https://pypi.org/'>PyPI - The Python Package Index</a>:\n\n<pre>\npip install PyPhotometry\n</pre>\n\n<br>or by using a generated conda repository <a\nhref='https://anaconda.org/neutrinomuon/PyPhotometry'>https://anaconda.org/neutrinomuon/PyPhotometry</a>:\n\n<img src=\"https://anaconda.org/neutrinomuon/PyPhotometry/badges/version.svg\"><img src=\"https://anaconda.org/neutrinomuon/PyPhotometry/badges/latest_release_date.svg\"><img src=\"https://anaconda.org/neutrinomuon/PyPhotometry/badges/platforms.svg\">\n\n<pre>\nconda install -c neutrinomuon pyphotometry\n</pre>\n\n<br>OBS.: Linux, OS-X and Windows pre-compilations available in conda.\n\nYou can also clone the repository and install by yourself in your machine:\n\n<pre>\ngit clone https://github.com/neutrinomuon/PyPhotometry\npython setup.py install\n</pre>\n\n<hr>\n\n#### <b>METHOD & REFERENCES</b>\n\n##### Magnitude Systems\nThe following magnitude systems are supported by PyPhotometry:\n\n- VEGA standard: Based on the Bessel (2005), Cousins & Jones (1976), and Kitchin (2003) references.\n- VEGA proposed by Bohlin and Gilland 2004;\n- AB standard system: Based on Oke (1974) reference;\n- TG standard system (Thuan & Gunn): Based on Oke & Gunn (1983), Schild (1984), Schneider et al. (1983), Thuan & Gunn (1976), and Wade et al. (1979) references;\n- WFPC2 system: Based on the Stone (1996) reference;\n- FOCA at 2000 system;\n- Without any calibration.\n\n##### Calibration Stars\n\nPyPhotometry provides calibration stars used in the magnitude systems:\n\n- VEGA spectrum: Intrinsic Flux - [erg/s/cm2/A].\n- SUN spectrum: Intrinsic Flux - [erg/s/A].\n- F subdwarf: Used to calibrate the Thuan & Gunn system.\n\nFor more details on the usage and options, please refer to the PyPhotometry\nGitHub repository.\n\n<hr>\n\n#### <b>STRUCTURE</b>\n\nThe main structure of the directories and files are:\n\n<pre>\nPyPhotometry\n\u251c\u2500\u2500 Literature\n\u2502 \u2514\u2500\u2500 Bohlin and Gilland (2004) - Absolute Flux Distribution of the SDSS Standard BD +17_4708.pdf\n\u251c\u2500\u2500 README.md\n\u251c\u2500\u2500 __pycache__\n\u2502 \u2514\u2500\u2500 Filters.cpython-39.pyc\n\u251c\u2500\u2500 showdown.min.js\n\u251c\u2500\u2500 scripts\n\u2502 \u2514\u2500\u2500 update_readme.py\n\u251c\u2500\u2500 index.html\n\u251c\u2500\u2500 LICENSE.txt\n\u251c\u2500\u2500 data\n\u2502 \u251c\u2500\u2500 IRAS.12mu.txt\n\u2502 \u251c\u2500\u2500 Herschel_SPIRE.PSW_ext.txt\n\u2502 \u251c\u2500\u2500 GalexNUV.txt\n\u2502 \u251c\u2500\u2500 SDSSg.txt\n\u2502 \u251c\u2500\u2500 2MASSJ.txt\n\u2502 \u251c\u2500\u2500 WISE4.txt\n\u2502 \u251c\u2500\u2500 2MASSKs.txt\n\u2502 \u251c\u2500\u2500 Herschel_SPIRE.PLW_ext.txt\n\u2502 \u251c\u2500\u2500 GalexFUV.txt\n\u2502 \u251c\u2500\u2500 filters.db\n\u2502 \u251c\u2500\u2500 Herschel_SPIRE.PMW_ext.txt\n\u2502 \u251c\u2500\u2500 IRAS.60mu.txt\n\u2502 \u251c\u2500\u2500 SDSSr.txt\n\u2502 \u251c\u2500\u2500 calibration_stars\n\u2502 \u2502 \u251c\u2500\u2500 sun_reference_stis_001.fits\n\u2502 \u2502 \u251c\u2500\u2500 Filters_ReadMe.txt\n\u2502 \u2502 \u251c\u2500\u2500 kp00_6000.ascii\n\u2502 \u2502 \u251c\u2500\u2500 Sun_LR.dat\n\u2502 \u2502 \u251c\u2500\u2500 bd17d4708_stisnic_001.fits\n\u2502 \u2502 \u251c\u2500\u2500 BD+17o4708.dat\n\u2502 \u2502 \u251c\u2500\u2500 BD+17d4708.dat\n\u2502 \u2502 \u251c\u2500\u2500 VegaLR_OLD.dat\n\u2502 \u2502 \u251c\u2500\u2500 VegaLR.dat\n\u2502 \u2502 \u2514\u2500\u2500 Sun.dat\n\u2502 \u251c\u2500\u2500 2MASSH.txt\n\u2502 \u251c\u2500\u2500 IRAS.100mu.txt\n\u2502 \u251c\u2500\u2500 WISE3.txt\n\u2502 \u251c\u2500\u2500 ListFilters.txt\n\u2502 \u251c\u2500\u2500 SDSSi.txt\n\u2502 \u251c\u2500\u2500 SDSSz.txt\n\u2502 \u251c\u2500\u2500 IRAS.25mu.txt\n\u2502 \u251c\u2500\u2500 SDSSu.txt\n\u2502 \u251c\u2500\u2500 WISE2.txt\n\u2502 \u2514\u2500\u2500 WISE1.txt\n\u251c\u2500\u2500 setup.py\n\u251c\u2500\u2500 tutorials\n\u2502 \u2514\u2500\u2500 PyPhotometry.png\n\u251c\u2500\u2500 src\n\u2502 \u251c\u2500\u2500 python\n\u2502 \u2502 \u251c\u2500\u2500 __pycache__\n\u2502 \u2502 \u251c\u2500\u2500 __init__.py\n\u2502 \u2502 \u2514\u2500\u2500 Photometry.py\n\u2502 \u2514\u2500\u2500 fortran\n\u2502 \u251c\u2500\u2500 EvalFilters.compile\n\u2502 \u251c\u2500\u2500 IntegralALL.f90\n\u2502 \u251c\u2500\u2500 PropFilters.compile\n\u2502 \u251c\u2500\u2500 DataTypes.f90\n\u2502 \u251c\u2500\u2500 PropFilters.f90\n\u2502 \u251c\u2500\u2500 EvalFilters.cpython-39-x86_64-linux-gnu.so\n\u2502 \u251c\u2500\u2500 ReadFilters.f90\n\u2502 \u251c\u2500\u2500 GaussLegendreQuadrature.f90\n\u2502 \u251c\u2500\u2500 PropFilters.cpython-39-x86_64-linux-gnu.so\n\u2502 \u251c\u2500\u2500 makefile\n\u2502 \u251c\u2500\u2500 LINinterpol.f90\n\u2502 \u2514\u2500\u2500 EvalFilters.f90\n\u251c\u2500\u2500 version.txt\n\u251c\u2500\u2500 PyPhotometry.egg-info\n\u2502 \u251c\u2500\u2500 PKG-INFO\n\u2502 \u251c\u2500\u2500 dependency_links.txt\n\u2502 \u251c\u2500\u2500 SOURCES.txt\n\u2502 \u251c\u2500\u2500 top_level.txt\n\u2502 \u2514\u2500\u2500 requires.txt\n\u2514\u2500\u2500 build\n \u251c\u2500\u2500 lib.linux-x86_64-3.9\n \u2502 \u2514\u2500\u2500 PyPhotometry\n \u251c\u2500\u2500 src.linux-x86_64-3.9\n \u2502 \u251c\u2500\u2500 PyPhotometry\n \u2502 \u251c\u2500\u2500 build\n \u2502 \u2514\u2500\u2500 numpy\n \u2514\u2500\u2500 temp.linux-x86_64-3.9\n \u251c\u2500\u2500 ccompiler_opt_cache_ext.py\n \u251c\u2500\u2500 src\n \u251c\u2500\u2500 PyPhotometry\n \u251c\u2500\u2500 .libs\n \u2514\u2500\u2500 build\n\n23 directories, 63 files\n</pre>\n\n<br>PyPhotometry.py is a python wrapper to the library in fortran called\nPyPhotometry.flib. The fortran directory can be compiled separately for\neach individual subroutine.\n\n<hr>\n\n#### ISSUES AND CONTRIBUTIONS\n\nIf you encounter any issues with this project, please feel free to submit an\nissue on the GitHub repository. We appreciate your feedback and are committed\nto improving the quality of our codebase.\n\nIf you'd like to contribute to this project, we welcome pull requests from the\ncommunity. Before submitting a pull request, please make sure to fork the\nrepository and create a new branch for your changes. Once your changes are\ncomplete, submit a pull request and we'll review your code as soon as\npossible.\n\nFor any questions or concerns about contributing, please contact the project\nmaintainer at antineutrinomuon@gmail.com. Thank you for your interest in\ncontributing to our project!\n\n<hr>\n\n#### <b>LICENSE</b>\n\nThis software is provided \"AS IS\" (see DISCLAIMER below). Permission to use,\nfor non-commercial purposes is granted. Permission to modify for personal or\ninternal use is granted, provided this copyright and disclaimer are included\nin ALL copies of the software. All other rights are reserved. In particular,\nredistribution of the code is not allowed without explicit permission by the\nauthor.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\nTHE SOFTWARE.\n\n\n",
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