automatic import of python-lasio

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+/lasio-0.30.tar.gz
diff --git a/python-lasio.spec b/python-lasio.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-lasio
+Version:	0.30
+Release:	1
+Summary:	Read/write well data from Log ASCII Standard (LAS) files
+License:	MIT
+URL:		https://github.com/kinverarity1/lasio
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/c6/16/59f214003f6dad6e83ce9c14175ece1be6983c3d21ffe35f1bd82520c7e5/lasio-0.30.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-cchardet
+Requires:	python3-openpyxl
+Requires:	python3-pandas
+Requires:	python3-cchardet
+Requires:	python3-openpyxl
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-coverage
+Requires:	python3-codecov
+Requires:	python3-pytest-benchmark
+
+%description
+# lasio
+
+[![License](http://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/kinverarity1/lasio/blob/master/LICENSE)
+
+Read and write Log ASCII Standard files with Python.
+
+This is a Python 3.3+ package to read and write Log ASCII Standard
+(LAS) files, used for borehole data such as geophysical, geological, or
+petrophysical logs. It's compatible with versions 1.2 and 2.0 of the LAS file
+specification, published by the [Canadian Well Logging
+Society](https://www.cwls.org/products/#products-las). Support for LAS 3 is 
+[being worked on](https://github.com/kinverarity1/lasio/issues/5). In
+principle it is designed to read as many types of LAS files as possible,
+including ones containing common errors or non-compliant formatting.
+
+lasio is primarily for reading & writing data and metadata to and from LAS files. 
+lasio does not mind whether LAS files meet the formal specification before reading
+data from them; check out the project [lascheck](https://github.com/MandarJKulkarni/lascheck)
+for doing that sort of thing. If you are working specifically with lithological or
+stratigraphic data, you may find [striplog](https://github.com/agile-geoscience/striplog)
+helpful, while if you are focused on working at the well level, please take a
+look at [welly](https://github.com/agile-geoscience/welly), which provides
+much more functionality in that area.
+
+Note this is not a package for reading LiDAR data (also called "LAS files"); 
+you may want to check out [laspy](https://github.com/laspy/laspy) for that.
+
+lasio  [stopped](https://github.com/kinverarity1/lasio/issues/364) 
+supporting Python 2.7 in August 2020. The final version of lasio with Python 2.7 support 
+is version 0.26.
+
+## Code of conduct
+
+See our [code of conduct](https://lasio.readthedocs.io/en/latest/contributing.html#code-of-conduct).
+
+## Documentation
+
+See here for the [complete lasio package
+documentation](https://lasio.readthedocs.io/en/latest/).
+
+## Quick start
+
+For the minimum working requirements, you'll need numpy installed. Install
+lasio with:
+
+```bash
+$ pip install lasio
+```
+
+To make sure you have everything, use this to ensure pandas, cchardet, and
+openpyxl are also installed:
+
+```bash
+$ pip install lasio[all]
+```
+
+Example session:
+
+```python
+>>> import lasio
+```
+
+You can read the file using a filename, file-like object, or URL:
+
+```python
+>>> las = lasio.read("sample_rev.las")
+```
+
+Data is accessible both directly as numpy arrays
+
+```python
+>>> las.keys()
+['DEPT', 'DT', 'RHOB', 'NPHI', 'SFLU', 'SFLA', 'ILM', 'ILD']
+>>> las['SFLU']
+array([ 123.45,  123.45,  123.45, ...,  123.45,  123.45,  123.45])
+>>> las['DEPT']
+array([ 1670.   ,  1669.875,  1669.75 , ...,  1669.75 ,  1670.   ,
+        1669.875])
+```
+
+and as ``CurveItem`` objects with associated metadata:
+
+```python
+>>> las.curves
+[CurveItem(mnemonic=DEPT, unit=M, value=, descr=1  DEPTH, original_mnemonic=DEPT, data.shape=(29897,)),
+CurveItem(mnemonic=DT, unit=US/M, value=, descr=2  SONIC TRANSIT TIME, original_mnemonic=DT, data.shape=(29897,)),
+CurveItem(mnemonic=RHOB, unit=K/M3, value=, descr=3  BULK DENSITY, original_mnemonic=RHOB, data.shape=(29897,)),
+CurveItem(mnemonic=NPHI, unit=V/V, value=, descr=4   NEUTRON POROSITY, original_mnemonic=NPHI, data.shape=(29897,)),
+CurveItem(mnemonic=SFLU, unit=OHMM, value=, descr=5  RXO RESISTIVITY, original_mnemonic=SFLU, data.shape=(29897,)),
+CurveItem(mnemonic=SFLA, unit=OHMM, value=, descr=6  SHALLOW RESISTIVITY, original_mnemonic=SFLA, data.shape=(29897,)),
+CurveItem(mnemonic=ILM, unit=OHMM, value=, descr=7  MEDIUM RESISTIVITY, original_mnemonic=ILM, data.shape=(29897,)),
+CurveItem(mnemonic=ILD, unit=OHMM, value=, descr=8  DEEP RESISTIVITY, original_mnemonic=ILD, data.shape=(29897,))]
+```
+
+Header information is parsed into simple HeaderItem objects, and stored in a
+dictionary for each section of the header:
+
+```python
+>>> las.version
+[HeaderItem(mnemonic=VERS, unit=, value=1.2, descr=CWLS LOG ASCII STANDARD -VERSION 1.2, original_mnemonic=VERS),
+HeaderItem(mnemonic=WRAP, unit=, value=NO, descr=ONE LINE PER DEPTH STEP, original_mnemonic=WRAP)]
+>>> las.well
+[HeaderItem(mnemonic=STRT, unit=M, value=1670.0, descr=, original_mnemonic=STRT),
+HeaderItem(mnemonic=STOP, unit=M, value=1660.0, descr=, original_mnemonic=STOP),
+HeaderItem(mnemonic=STEP, unit=M, value=-0.125, descr=, original_mnemonic=STEP),
+HeaderItem(mnemonic=NULL, unit=, value=-999.25, descr=, original_mnemonic=NULL),
+HeaderItem(mnemonic=COMP, unit=, value=ANY OIL COMPANY LTD., descr=COMPANY, original_mnemonic=COMP),
+HeaderItem(mnemonic=WELL, unit=, value=ANY ET AL OIL WELL #12, descr=WELL, original_mnemonic=WELL),
+HeaderItem(mnemonic=FLD, unit=, value=EDAM, descr=FIELD, original_mnemonic=FLD),
+HeaderItem(mnemonic=LOC, unit=, value=A9-16-49, descr=LOCATION, original_mnemonic=LOC),
+HeaderItem(mnemonic=PROV, unit=, value=SASKATCHEWAN, descr=PROVINCE, original_mnemonic=PROV),
+HeaderItem(mnemonic=SRVC, unit=, value=ANY LOGGING COMPANY LTD., descr=SERVICE COMPANY, original_mnemonic=SRVC),
+HeaderItem(mnemonic=DATE, unit=, value=25-DEC-1988, descr=LOG DATE, original_mnemonic=DATE),
+HeaderItem(mnemonic=UWI, unit=, value=100091604920, descr=UNIQUE WELL ID, original_mnemonic=UWI)]
+>>> las.params
+[HeaderItem(mnemonic=BHT, unit=DEGC, value=35.5, descr=BOTTOM HOLE TEMPERATURE, original_mnemonic=BHT),
+HeaderItem(mnemonic=BS, unit=MM, value=200.0, descr=BIT SIZE, original_mnemonic=BS),
+HeaderItem(mnemonic=FD, unit=K/M3, value=1000.0, descr=FLUID DENSITY, original_mnemonic=FD),
+HeaderItem(mnemonic=MATR, unit=, value=0.0, descr=NEUTRON MATRIX(0=LIME,1=SAND,2=DOLO), original_mnemonic=MATR),
+HeaderItem(mnemonic=MDEN, unit=, value=2710.0, descr=LOGGING MATRIX DENSITY, original_mnemonic=MDEN),
+HeaderItem(mnemonic=RMF, unit=OHMM, value=0.216, descr=MUD FILTRATE RESISTIVITY, original_mnemonic=RMF),
+HeaderItem(mnemonic=DFD, unit=K/M3, value=1525.0, descr=DRILL FLUID DENSITY, original_mnemonic=DFD)]
+```
+
+The data is stored as a 2D numpy array:
+
+```python
+>>> las.data
+array([[ 1670.   ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1669.875,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1669.75 ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       ...,
+       [ 1669.75 ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1670.   ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1669.875,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ]])
+```
+
+You can also retrieve and load data as a ``pandas`` DataFrame, build LAS files
+from scratch, write them back to disc, and export to Excel, amongst other
+things.
+
+See the [package documentation](https://lasio.readthedocs.io/en/latest/) for
+more details.
+
+## Contributing
+
+Contributions are invited and welcome.
+
+See [Contributing](https://lasio.readthedocs.io/en/latest/contributing.html) for how to get started.
+
+
+## License
+
+MIT
+
+
+
+
+%package -n python3-lasio
+Summary:	Read/write well data from Log ASCII Standard (LAS) files
+Provides:	python-lasio
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-lasio
+# lasio
+
+[![License](http://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/kinverarity1/lasio/blob/master/LICENSE)
+
+Read and write Log ASCII Standard files with Python.
+
+This is a Python 3.3+ package to read and write Log ASCII Standard
+(LAS) files, used for borehole data such as geophysical, geological, or
+petrophysical logs. It's compatible with versions 1.2 and 2.0 of the LAS file
+specification, published by the [Canadian Well Logging
+Society](https://www.cwls.org/products/#products-las). Support for LAS 3 is 
+[being worked on](https://github.com/kinverarity1/lasio/issues/5). In
+principle it is designed to read as many types of LAS files as possible,
+including ones containing common errors or non-compliant formatting.
+
+lasio is primarily for reading & writing data and metadata to and from LAS files. 
+lasio does not mind whether LAS files meet the formal specification before reading
+data from them; check out the project [lascheck](https://github.com/MandarJKulkarni/lascheck)
+for doing that sort of thing. If you are working specifically with lithological or
+stratigraphic data, you may find [striplog](https://github.com/agile-geoscience/striplog)
+helpful, while if you are focused on working at the well level, please take a
+look at [welly](https://github.com/agile-geoscience/welly), which provides
+much more functionality in that area.
+
+Note this is not a package for reading LiDAR data (also called "LAS files"); 
+you may want to check out [laspy](https://github.com/laspy/laspy) for that.
+
+lasio  [stopped](https://github.com/kinverarity1/lasio/issues/364) 
+supporting Python 2.7 in August 2020. The final version of lasio with Python 2.7 support 
+is version 0.26.
+
+## Code of conduct
+
+See our [code of conduct](https://lasio.readthedocs.io/en/latest/contributing.html#code-of-conduct).
+
+## Documentation
+
+See here for the [complete lasio package
+documentation](https://lasio.readthedocs.io/en/latest/).
+
+## Quick start
+
+For the minimum working requirements, you'll need numpy installed. Install
+lasio with:
+
+```bash
+$ pip install lasio
+```
+
+To make sure you have everything, use this to ensure pandas, cchardet, and
+openpyxl are also installed:
+
+```bash
+$ pip install lasio[all]
+```
+
+Example session:
+
+```python
+>>> import lasio
+```
+
+You can read the file using a filename, file-like object, or URL:
+
+```python
+>>> las = lasio.read("sample_rev.las")
+```
+
+Data is accessible both directly as numpy arrays
+
+```python
+>>> las.keys()
+['DEPT', 'DT', 'RHOB', 'NPHI', 'SFLU', 'SFLA', 'ILM', 'ILD']
+>>> las['SFLU']
+array([ 123.45,  123.45,  123.45, ...,  123.45,  123.45,  123.45])
+>>> las['DEPT']
+array([ 1670.   ,  1669.875,  1669.75 , ...,  1669.75 ,  1670.   ,
+        1669.875])
+```
+
+and as ``CurveItem`` objects with associated metadata:
+
+```python
+>>> las.curves
+[CurveItem(mnemonic=DEPT, unit=M, value=, descr=1  DEPTH, original_mnemonic=DEPT, data.shape=(29897,)),
+CurveItem(mnemonic=DT, unit=US/M, value=, descr=2  SONIC TRANSIT TIME, original_mnemonic=DT, data.shape=(29897,)),
+CurveItem(mnemonic=RHOB, unit=K/M3, value=, descr=3  BULK DENSITY, original_mnemonic=RHOB, data.shape=(29897,)),
+CurveItem(mnemonic=NPHI, unit=V/V, value=, descr=4   NEUTRON POROSITY, original_mnemonic=NPHI, data.shape=(29897,)),
+CurveItem(mnemonic=SFLU, unit=OHMM, value=, descr=5  RXO RESISTIVITY, original_mnemonic=SFLU, data.shape=(29897,)),
+CurveItem(mnemonic=SFLA, unit=OHMM, value=, descr=6  SHALLOW RESISTIVITY, original_mnemonic=SFLA, data.shape=(29897,)),
+CurveItem(mnemonic=ILM, unit=OHMM, value=, descr=7  MEDIUM RESISTIVITY, original_mnemonic=ILM, data.shape=(29897,)),
+CurveItem(mnemonic=ILD, unit=OHMM, value=, descr=8  DEEP RESISTIVITY, original_mnemonic=ILD, data.shape=(29897,))]
+```
+
+Header information is parsed into simple HeaderItem objects, and stored in a
+dictionary for each section of the header:
+
+```python
+>>> las.version
+[HeaderItem(mnemonic=VERS, unit=, value=1.2, descr=CWLS LOG ASCII STANDARD -VERSION 1.2, original_mnemonic=VERS),
+HeaderItem(mnemonic=WRAP, unit=, value=NO, descr=ONE LINE PER DEPTH STEP, original_mnemonic=WRAP)]
+>>> las.well
+[HeaderItem(mnemonic=STRT, unit=M, value=1670.0, descr=, original_mnemonic=STRT),
+HeaderItem(mnemonic=STOP, unit=M, value=1660.0, descr=, original_mnemonic=STOP),
+HeaderItem(mnemonic=STEP, unit=M, value=-0.125, descr=, original_mnemonic=STEP),
+HeaderItem(mnemonic=NULL, unit=, value=-999.25, descr=, original_mnemonic=NULL),
+HeaderItem(mnemonic=COMP, unit=, value=ANY OIL COMPANY LTD., descr=COMPANY, original_mnemonic=COMP),
+HeaderItem(mnemonic=WELL, unit=, value=ANY ET AL OIL WELL #12, descr=WELL, original_mnemonic=WELL),
+HeaderItem(mnemonic=FLD, unit=, value=EDAM, descr=FIELD, original_mnemonic=FLD),
+HeaderItem(mnemonic=LOC, unit=, value=A9-16-49, descr=LOCATION, original_mnemonic=LOC),
+HeaderItem(mnemonic=PROV, unit=, value=SASKATCHEWAN, descr=PROVINCE, original_mnemonic=PROV),
+HeaderItem(mnemonic=SRVC, unit=, value=ANY LOGGING COMPANY LTD., descr=SERVICE COMPANY, original_mnemonic=SRVC),
+HeaderItem(mnemonic=DATE, unit=, value=25-DEC-1988, descr=LOG DATE, original_mnemonic=DATE),
+HeaderItem(mnemonic=UWI, unit=, value=100091604920, descr=UNIQUE WELL ID, original_mnemonic=UWI)]
+>>> las.params
+[HeaderItem(mnemonic=BHT, unit=DEGC, value=35.5, descr=BOTTOM HOLE TEMPERATURE, original_mnemonic=BHT),
+HeaderItem(mnemonic=BS, unit=MM, value=200.0, descr=BIT SIZE, original_mnemonic=BS),
+HeaderItem(mnemonic=FD, unit=K/M3, value=1000.0, descr=FLUID DENSITY, original_mnemonic=FD),
+HeaderItem(mnemonic=MATR, unit=, value=0.0, descr=NEUTRON MATRIX(0=LIME,1=SAND,2=DOLO), original_mnemonic=MATR),
+HeaderItem(mnemonic=MDEN, unit=, value=2710.0, descr=LOGGING MATRIX DENSITY, original_mnemonic=MDEN),
+HeaderItem(mnemonic=RMF, unit=OHMM, value=0.216, descr=MUD FILTRATE RESISTIVITY, original_mnemonic=RMF),
+HeaderItem(mnemonic=DFD, unit=K/M3, value=1525.0, descr=DRILL FLUID DENSITY, original_mnemonic=DFD)]
+```
+
+The data is stored as a 2D numpy array:
+
+```python
+>>> las.data
+array([[ 1670.   ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1669.875,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1669.75 ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       ...,
+       [ 1669.75 ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1670.   ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1669.875,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ]])
+```
+
+You can also retrieve and load data as a ``pandas`` DataFrame, build LAS files
+from scratch, write them back to disc, and export to Excel, amongst other
+things.
+
+See the [package documentation](https://lasio.readthedocs.io/en/latest/) for
+more details.
+
+## Contributing
+
+Contributions are invited and welcome.
+
+See [Contributing](https://lasio.readthedocs.io/en/latest/contributing.html) for how to get started.
+
+
+## License
+
+MIT
+
+
+
+
+%package help
+Summary:	Development documents and examples for lasio
+Provides:	python3-lasio-doc
+%description help
+# lasio
+
+[![License](http://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/kinverarity1/lasio/blob/master/LICENSE)
+
+Read and write Log ASCII Standard files with Python.
+
+This is a Python 3.3+ package to read and write Log ASCII Standard
+(LAS) files, used for borehole data such as geophysical, geological, or
+petrophysical logs. It's compatible with versions 1.2 and 2.0 of the LAS file
+specification, published by the [Canadian Well Logging
+Society](https://www.cwls.org/products/#products-las). Support for LAS 3 is 
+[being worked on](https://github.com/kinverarity1/lasio/issues/5). In
+principle it is designed to read as many types of LAS files as possible,
+including ones containing common errors or non-compliant formatting.
+
+lasio is primarily for reading & writing data and metadata to and from LAS files. 
+lasio does not mind whether LAS files meet the formal specification before reading
+data from them; check out the project [lascheck](https://github.com/MandarJKulkarni/lascheck)
+for doing that sort of thing. If you are working specifically with lithological or
+stratigraphic data, you may find [striplog](https://github.com/agile-geoscience/striplog)
+helpful, while if you are focused on working at the well level, please take a
+look at [welly](https://github.com/agile-geoscience/welly), which provides
+much more functionality in that area.
+
+Note this is not a package for reading LiDAR data (also called "LAS files"); 
+you may want to check out [laspy](https://github.com/laspy/laspy) for that.
+
+lasio  [stopped](https://github.com/kinverarity1/lasio/issues/364) 
+supporting Python 2.7 in August 2020. The final version of lasio with Python 2.7 support 
+is version 0.26.
+
+## Code of conduct
+
+See our [code of conduct](https://lasio.readthedocs.io/en/latest/contributing.html#code-of-conduct).
+
+## Documentation
+
+See here for the [complete lasio package
+documentation](https://lasio.readthedocs.io/en/latest/).
+
+## Quick start
+
+For the minimum working requirements, you'll need numpy installed. Install
+lasio with:
+
+```bash
+$ pip install lasio
+```
+
+To make sure you have everything, use this to ensure pandas, cchardet, and
+openpyxl are also installed:
+
+```bash
+$ pip install lasio[all]
+```
+
+Example session:
+
+```python
+>>> import lasio
+```
+
+You can read the file using a filename, file-like object, or URL:
+
+```python
+>>> las = lasio.read("sample_rev.las")
+```
+
+Data is accessible both directly as numpy arrays
+
+```python
+>>> las.keys()
+['DEPT', 'DT', 'RHOB', 'NPHI', 'SFLU', 'SFLA', 'ILM', 'ILD']
+>>> las['SFLU']
+array([ 123.45,  123.45,  123.45, ...,  123.45,  123.45,  123.45])
+>>> las['DEPT']
+array([ 1670.   ,  1669.875,  1669.75 , ...,  1669.75 ,  1670.   ,
+        1669.875])
+```
+
+and as ``CurveItem`` objects with associated metadata:
+
+```python
+>>> las.curves
+[CurveItem(mnemonic=DEPT, unit=M, value=, descr=1  DEPTH, original_mnemonic=DEPT, data.shape=(29897,)),
+CurveItem(mnemonic=DT, unit=US/M, value=, descr=2  SONIC TRANSIT TIME, original_mnemonic=DT, data.shape=(29897,)),
+CurveItem(mnemonic=RHOB, unit=K/M3, value=, descr=3  BULK DENSITY, original_mnemonic=RHOB, data.shape=(29897,)),
+CurveItem(mnemonic=NPHI, unit=V/V, value=, descr=4   NEUTRON POROSITY, original_mnemonic=NPHI, data.shape=(29897,)),
+CurveItem(mnemonic=SFLU, unit=OHMM, value=, descr=5  RXO RESISTIVITY, original_mnemonic=SFLU, data.shape=(29897,)),
+CurveItem(mnemonic=SFLA, unit=OHMM, value=, descr=6  SHALLOW RESISTIVITY, original_mnemonic=SFLA, data.shape=(29897,)),
+CurveItem(mnemonic=ILM, unit=OHMM, value=, descr=7  MEDIUM RESISTIVITY, original_mnemonic=ILM, data.shape=(29897,)),
+CurveItem(mnemonic=ILD, unit=OHMM, value=, descr=8  DEEP RESISTIVITY, original_mnemonic=ILD, data.shape=(29897,))]
+```
+
+Header information is parsed into simple HeaderItem objects, and stored in a
+dictionary for each section of the header:
+
+```python
+>>> las.version
+[HeaderItem(mnemonic=VERS, unit=, value=1.2, descr=CWLS LOG ASCII STANDARD -VERSION 1.2, original_mnemonic=VERS),
+HeaderItem(mnemonic=WRAP, unit=, value=NO, descr=ONE LINE PER DEPTH STEP, original_mnemonic=WRAP)]
+>>> las.well
+[HeaderItem(mnemonic=STRT, unit=M, value=1670.0, descr=, original_mnemonic=STRT),
+HeaderItem(mnemonic=STOP, unit=M, value=1660.0, descr=, original_mnemonic=STOP),
+HeaderItem(mnemonic=STEP, unit=M, value=-0.125, descr=, original_mnemonic=STEP),
+HeaderItem(mnemonic=NULL, unit=, value=-999.25, descr=, original_mnemonic=NULL),
+HeaderItem(mnemonic=COMP, unit=, value=ANY OIL COMPANY LTD., descr=COMPANY, original_mnemonic=COMP),
+HeaderItem(mnemonic=WELL, unit=, value=ANY ET AL OIL WELL #12, descr=WELL, original_mnemonic=WELL),
+HeaderItem(mnemonic=FLD, unit=, value=EDAM, descr=FIELD, original_mnemonic=FLD),
+HeaderItem(mnemonic=LOC, unit=, value=A9-16-49, descr=LOCATION, original_mnemonic=LOC),
+HeaderItem(mnemonic=PROV, unit=, value=SASKATCHEWAN, descr=PROVINCE, original_mnemonic=PROV),
+HeaderItem(mnemonic=SRVC, unit=, value=ANY LOGGING COMPANY LTD., descr=SERVICE COMPANY, original_mnemonic=SRVC),
+HeaderItem(mnemonic=DATE, unit=, value=25-DEC-1988, descr=LOG DATE, original_mnemonic=DATE),
+HeaderItem(mnemonic=UWI, unit=, value=100091604920, descr=UNIQUE WELL ID, original_mnemonic=UWI)]
+>>> las.params
+[HeaderItem(mnemonic=BHT, unit=DEGC, value=35.5, descr=BOTTOM HOLE TEMPERATURE, original_mnemonic=BHT),
+HeaderItem(mnemonic=BS, unit=MM, value=200.0, descr=BIT SIZE, original_mnemonic=BS),
+HeaderItem(mnemonic=FD, unit=K/M3, value=1000.0, descr=FLUID DENSITY, original_mnemonic=FD),
+HeaderItem(mnemonic=MATR, unit=, value=0.0, descr=NEUTRON MATRIX(0=LIME,1=SAND,2=DOLO), original_mnemonic=MATR),
+HeaderItem(mnemonic=MDEN, unit=, value=2710.0, descr=LOGGING MATRIX DENSITY, original_mnemonic=MDEN),
+HeaderItem(mnemonic=RMF, unit=OHMM, value=0.216, descr=MUD FILTRATE RESISTIVITY, original_mnemonic=RMF),
+HeaderItem(mnemonic=DFD, unit=K/M3, value=1525.0, descr=DRILL FLUID DENSITY, original_mnemonic=DFD)]
+```
+
+The data is stored as a 2D numpy array:
+
+```python
+>>> las.data
+array([[ 1670.   ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1669.875,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1669.75 ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       ...,
+       [ 1669.75 ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1670.   ,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ],
+       [ 1669.875,   123.45 ,  2550.   , ...,   123.45 ,   110.2  ,   105.6  ]])
+```
+
+You can also retrieve and load data as a ``pandas`` DataFrame, build LAS files
+from scratch, write them back to disc, and export to Excel, amongst other
+things.
+
+See the [package documentation](https://lasio.readthedocs.io/en/latest/) for
+more details.
+
+## Contributing
+
+Contributions are invited and welcome.
+
+See [Contributing](https://lasio.readthedocs.io/en/latest/contributing.html) for how to get started.
+
+
+## License
+
+MIT
+
+
+
+
+%prep
+%autosetup -n lasio-0.30
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-lasio -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.30-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..50d0272
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+2ba5bba03f2eb82ae405facaeb5ea562  lasio-0.30.tar.gz