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+%global _empty_manifest_terminate_build 0
+Name:		python-covid19dh
+Version:	2.3.0
+Release:	1
+Summary:	Unified data hub for a better understanding of COVID-19 https://covid19datahub.io
+License:	MIT License
+URL:		https://www.covid19datahub.io
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d8/db/3720cf3390db058dda5e3e9cbb2f42fd9f170191b28d1de91ef433388f85/covid19dh-2.3.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pandas
+Requires:	python3-requests
+
+%description
+<a href="https://covid19datahub.io"><img src="https://storage.covid19datahub.io/logo.svg" align="right" height="128"/></a>
+
+# Python Interface to COVID-19 Data Hub
+
+[![](https://img.shields.io/pypi/v/covid19dh.svg?color=brightgreen)](https://pypi.org/pypi/covid19dh/) [![](https://img.shields.io/pypi/dm/covid19dh.svg?color=blue)](https://pypi.org/pypi/covid19dh/) [![DOI](https://joss.theoj.org/papers/10.21105/joss.02376/status.svg)](https://doi.org/10.21105/joss.02376) [![](https://github.com/covid19datahub/Python/workflows/utests_on_commit/badge.svg)](https://github.com/covid19datahub/Python)
+
+Download COVID-19 data across governmental sources at national, regional, and city level, as described in [Guidotti and Ardia (2020)](https://www.doi.org/10.21105/joss.02376). Includes the time series of vaccines, tests, cases, deaths, recovered, hospitalizations, intensive therapy, and policy measures by [Oxford COVID-19 Government Response Tracker](https://www.bsg.ox.ac.uk/research/research-projects/coronavirus-government-response-tracker). Please agree to the [Terms of Use](https://covid19datahub.io/LICENSE.html) and cite the following reference when using it:
+
+**Reference**
+
+Guidotti, E., Ardia, D., (2020).      
+COVID-19 Data Hub       
+_Journal of Open Source Software_, **5**(51):2376   
+[https://doi.org/10.21105/joss.02376](https://doi.org/10.21105/joss.02376)  
+
+## Setup and usage
+
+Install from [pip](https://pypi.org/project/covid19dh/) with
+
+```python
+pip install covid19dh
+```
+
+Importing the main function `covid19()`   
+
+```python
+from covid19dh import covid19
+x, src = covid19() 
+```
+
+Package is regularly updated. Update with
+
+```bash
+pip install --upgrade covid19dh
+```
+
+## Return values
+
+The function `covid19()` returns 2 pandas dataframes:
+* the data and
+* references to the data sources.
+
+## Parametrization
+
+### Country
+
+List of country names (case-insensitive) or ISO codes (alpha-2, alpha-3 or numeric). The list of ISO codes can be found [here](https://github.com/covid19datahub/COVID19/blob/master/inst/extdata/db/ISO.csv).
+
+Fetching data from a particular country:
+
+```python
+x, src = covid19("USA") # Unites States
+```
+
+Specify multiple countries at the same time:
+
+```python
+x, src = covid19(["ESP","PT","andorra",250])
+```
+
+If `country` is omitted, the whole dataset is returned:
+
+```python
+x, src = covid19()
+```
+
+### Raw data
+
+Logical. Skip data cleaning? Default `True`. If `raw=False`, the raw data are cleaned by filling missing dates with `NaN` values. This ensures that all locations share the same grid of dates and no single day is skipped. Then, `NaN` values are replaced with the previous non-`NaN` value or `0`.  
+
+```python
+x, src = covid19(raw = False)
+```
+
+### Date filter
+
+Date can be specified with `datetime.datetime`, `datetime.date` or as a `str` in format `YYYY-mm-dd`.
+
+```python
+from datetime import datetime
+x, src = covid19("SWE", start = datetime(2020,4,1), end = "2020-05-01")
+```
+
+### Level
+
+Integer. Granularity level of the data:
+
+1. Country level
+2. State, region or canton level
+3. City or municipality level
+
+```python
+from datetime import date
+x, src = covid19("USA", level = 2, start = date(2020,5,1))
+```
+
+### Cache
+
+Logical. Memory caching? Significantly improves performance on successive calls. By default, using the cached data is enabled.
+
+Caching can be disabled (e.g. for long running programs) by:
+
+```python
+x, src = covid19("FRA", cache = False)
+```
+
+### Vintage
+
+Logical. Retrieve the snapshot of the dataset that was generated at the `end` date instead of using the latest version. Default `False`.
+
+To fetch e.g. US data that were accessible on *22th April 2020* type
+
+```python
+x, src = covid19("USA", end = "2020-04-22", vintage = True)
+```
+
+The vintage data are collected at the end of the day, but published with approximately 48 hour delay,
+once the day is completed in all the timezones.
+
+Hence if `vintage = True`, but `end` is not set, warning is raised and `None` is returned.
+
+```python
+x, src = covid19("USA", vintage = True) # too early to get today's vintage
+```
+
+```
+UserWarning: vintage data not available yet
+```
+
+### Data Sources
+
+The data sources are returned as second value.
+
+```python
+from covid19dh import covid19
+x, src = covid19("USA")
+print(src)
+```
+
+### Additional information
+
+Find out more at https://covid19datahub.io
+
+## Acknowledgements
+
+Developed and maintained by [Martin Benes](https://pypi.org/user/martinbenes1996/).
+
+## Cite as
+
+*Guidotti, E., Ardia, D., (2020), "COVID-19 Data Hub", Journal of Open Source Software 5(51):2376, doi: 10.21105/joss.02376.*
+
+A BibTeX entry for LaTeX users is
+
+```latex
+@Article{,
+    title = {COVID-19 Data Hub},
+    year = {2020},
+    doi = {10.21105/joss.02376},
+    author = {Emanuele Guidotti and David Ardia},
+    journal = {Journal of Open Source Software},
+    volume = {5},
+    number = {51},
+    pages = {2376}
+}
+```
+
+
+
+%package -n python3-covid19dh
+Summary:	Unified data hub for a better understanding of COVID-19 https://covid19datahub.io
+Provides:	python-covid19dh
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-covid19dh
+<a href="https://covid19datahub.io"><img src="https://storage.covid19datahub.io/logo.svg" align="right" height="128"/></a>
+
+# Python Interface to COVID-19 Data Hub
+
+[![](https://img.shields.io/pypi/v/covid19dh.svg?color=brightgreen)](https://pypi.org/pypi/covid19dh/) [![](https://img.shields.io/pypi/dm/covid19dh.svg?color=blue)](https://pypi.org/pypi/covid19dh/) [![DOI](https://joss.theoj.org/papers/10.21105/joss.02376/status.svg)](https://doi.org/10.21105/joss.02376) [![](https://github.com/covid19datahub/Python/workflows/utests_on_commit/badge.svg)](https://github.com/covid19datahub/Python)
+
+Download COVID-19 data across governmental sources at national, regional, and city level, as described in [Guidotti and Ardia (2020)](https://www.doi.org/10.21105/joss.02376). Includes the time series of vaccines, tests, cases, deaths, recovered, hospitalizations, intensive therapy, and policy measures by [Oxford COVID-19 Government Response Tracker](https://www.bsg.ox.ac.uk/research/research-projects/coronavirus-government-response-tracker). Please agree to the [Terms of Use](https://covid19datahub.io/LICENSE.html) and cite the following reference when using it:
+
+**Reference**
+
+Guidotti, E., Ardia, D., (2020).      
+COVID-19 Data Hub       
+_Journal of Open Source Software_, **5**(51):2376   
+[https://doi.org/10.21105/joss.02376](https://doi.org/10.21105/joss.02376)  
+
+## Setup and usage
+
+Install from [pip](https://pypi.org/project/covid19dh/) with
+
+```python
+pip install covid19dh
+```
+
+Importing the main function `covid19()`   
+
+```python
+from covid19dh import covid19
+x, src = covid19() 
+```
+
+Package is regularly updated. Update with
+
+```bash
+pip install --upgrade covid19dh
+```
+
+## Return values
+
+The function `covid19()` returns 2 pandas dataframes:
+* the data and
+* references to the data sources.
+
+## Parametrization
+
+### Country
+
+List of country names (case-insensitive) or ISO codes (alpha-2, alpha-3 or numeric). The list of ISO codes can be found [here](https://github.com/covid19datahub/COVID19/blob/master/inst/extdata/db/ISO.csv).
+
+Fetching data from a particular country:
+
+```python
+x, src = covid19("USA") # Unites States
+```
+
+Specify multiple countries at the same time:
+
+```python
+x, src = covid19(["ESP","PT","andorra",250])
+```
+
+If `country` is omitted, the whole dataset is returned:
+
+```python
+x, src = covid19()
+```
+
+### Raw data
+
+Logical. Skip data cleaning? Default `True`. If `raw=False`, the raw data are cleaned by filling missing dates with `NaN` values. This ensures that all locations share the same grid of dates and no single day is skipped. Then, `NaN` values are replaced with the previous non-`NaN` value or `0`.  
+
+```python
+x, src = covid19(raw = False)
+```
+
+### Date filter
+
+Date can be specified with `datetime.datetime`, `datetime.date` or as a `str` in format `YYYY-mm-dd`.
+
+```python
+from datetime import datetime
+x, src = covid19("SWE", start = datetime(2020,4,1), end = "2020-05-01")
+```
+
+### Level
+
+Integer. Granularity level of the data:
+
+1. Country level
+2. State, region or canton level
+3. City or municipality level
+
+```python
+from datetime import date
+x, src = covid19("USA", level = 2, start = date(2020,5,1))
+```
+
+### Cache
+
+Logical. Memory caching? Significantly improves performance on successive calls. By default, using the cached data is enabled.
+
+Caching can be disabled (e.g. for long running programs) by:
+
+```python
+x, src = covid19("FRA", cache = False)
+```
+
+### Vintage
+
+Logical. Retrieve the snapshot of the dataset that was generated at the `end` date instead of using the latest version. Default `False`.
+
+To fetch e.g. US data that were accessible on *22th April 2020* type
+
+```python
+x, src = covid19("USA", end = "2020-04-22", vintage = True)
+```
+
+The vintage data are collected at the end of the day, but published with approximately 48 hour delay,
+once the day is completed in all the timezones.
+
+Hence if `vintage = True`, but `end` is not set, warning is raised and `None` is returned.
+
+```python
+x, src = covid19("USA", vintage = True) # too early to get today's vintage
+```
+
+```
+UserWarning: vintage data not available yet
+```
+
+### Data Sources
+
+The data sources are returned as second value.
+
+```python
+from covid19dh import covid19
+x, src = covid19("USA")
+print(src)
+```
+
+### Additional information
+
+Find out more at https://covid19datahub.io
+
+## Acknowledgements
+
+Developed and maintained by [Martin Benes](https://pypi.org/user/martinbenes1996/).
+
+## Cite as
+
+*Guidotti, E., Ardia, D., (2020), "COVID-19 Data Hub", Journal of Open Source Software 5(51):2376, doi: 10.21105/joss.02376.*
+
+A BibTeX entry for LaTeX users is
+
+```latex
+@Article{,
+    title = {COVID-19 Data Hub},
+    year = {2020},
+    doi = {10.21105/joss.02376},
+    author = {Emanuele Guidotti and David Ardia},
+    journal = {Journal of Open Source Software},
+    volume = {5},
+    number = {51},
+    pages = {2376}
+}
+```
+
+
+
+%package help
+Summary:	Development documents and examples for covid19dh
+Provides:	python3-covid19dh-doc
+%description help
+<a href="https://covid19datahub.io"><img src="https://storage.covid19datahub.io/logo.svg" align="right" height="128"/></a>
+
+# Python Interface to COVID-19 Data Hub
+
+[![](https://img.shields.io/pypi/v/covid19dh.svg?color=brightgreen)](https://pypi.org/pypi/covid19dh/) [![](https://img.shields.io/pypi/dm/covid19dh.svg?color=blue)](https://pypi.org/pypi/covid19dh/) [![DOI](https://joss.theoj.org/papers/10.21105/joss.02376/status.svg)](https://doi.org/10.21105/joss.02376) [![](https://github.com/covid19datahub/Python/workflows/utests_on_commit/badge.svg)](https://github.com/covid19datahub/Python)
+
+Download COVID-19 data across governmental sources at national, regional, and city level, as described in [Guidotti and Ardia (2020)](https://www.doi.org/10.21105/joss.02376). Includes the time series of vaccines, tests, cases, deaths, recovered, hospitalizations, intensive therapy, and policy measures by [Oxford COVID-19 Government Response Tracker](https://www.bsg.ox.ac.uk/research/research-projects/coronavirus-government-response-tracker). Please agree to the [Terms of Use](https://covid19datahub.io/LICENSE.html) and cite the following reference when using it:
+
+**Reference**
+
+Guidotti, E., Ardia, D., (2020).      
+COVID-19 Data Hub       
+_Journal of Open Source Software_, **5**(51):2376   
+[https://doi.org/10.21105/joss.02376](https://doi.org/10.21105/joss.02376)  
+
+## Setup and usage
+
+Install from [pip](https://pypi.org/project/covid19dh/) with
+
+```python
+pip install covid19dh
+```
+
+Importing the main function `covid19()`   
+
+```python
+from covid19dh import covid19
+x, src = covid19() 
+```
+
+Package is regularly updated. Update with
+
+```bash
+pip install --upgrade covid19dh
+```
+
+## Return values
+
+The function `covid19()` returns 2 pandas dataframes:
+* the data and
+* references to the data sources.
+
+## Parametrization
+
+### Country
+
+List of country names (case-insensitive) or ISO codes (alpha-2, alpha-3 or numeric). The list of ISO codes can be found [here](https://github.com/covid19datahub/COVID19/blob/master/inst/extdata/db/ISO.csv).
+
+Fetching data from a particular country:
+
+```python
+x, src = covid19("USA") # Unites States
+```
+
+Specify multiple countries at the same time:
+
+```python
+x, src = covid19(["ESP","PT","andorra",250])
+```
+
+If `country` is omitted, the whole dataset is returned:
+
+```python
+x, src = covid19()
+```
+
+### Raw data
+
+Logical. Skip data cleaning? Default `True`. If `raw=False`, the raw data are cleaned by filling missing dates with `NaN` values. This ensures that all locations share the same grid of dates and no single day is skipped. Then, `NaN` values are replaced with the previous non-`NaN` value or `0`.  
+
+```python
+x, src = covid19(raw = False)
+```
+
+### Date filter
+
+Date can be specified with `datetime.datetime`, `datetime.date` or as a `str` in format `YYYY-mm-dd`.
+
+```python
+from datetime import datetime
+x, src = covid19("SWE", start = datetime(2020,4,1), end = "2020-05-01")
+```
+
+### Level
+
+Integer. Granularity level of the data:
+
+1. Country level
+2. State, region or canton level
+3. City or municipality level
+
+```python
+from datetime import date
+x, src = covid19("USA", level = 2, start = date(2020,5,1))
+```
+
+### Cache
+
+Logical. Memory caching? Significantly improves performance on successive calls. By default, using the cached data is enabled.
+
+Caching can be disabled (e.g. for long running programs) by:
+
+```python
+x, src = covid19("FRA", cache = False)
+```
+
+### Vintage
+
+Logical. Retrieve the snapshot of the dataset that was generated at the `end` date instead of using the latest version. Default `False`.
+
+To fetch e.g. US data that were accessible on *22th April 2020* type
+
+```python
+x, src = covid19("USA", end = "2020-04-22", vintage = True)
+```
+
+The vintage data are collected at the end of the day, but published with approximately 48 hour delay,
+once the day is completed in all the timezones.
+
+Hence if `vintage = True`, but `end` is not set, warning is raised and `None` is returned.
+
+```python
+x, src = covid19("USA", vintage = True) # too early to get today's vintage
+```
+
+```
+UserWarning: vintage data not available yet
+```
+
+### Data Sources
+
+The data sources are returned as second value.
+
+```python
+from covid19dh import covid19
+x, src = covid19("USA")
+print(src)
+```
+
+### Additional information
+
+Find out more at https://covid19datahub.io
+
+## Acknowledgements
+
+Developed and maintained by [Martin Benes](https://pypi.org/user/martinbenes1996/).
+
+## Cite as
+
+*Guidotti, E., Ardia, D., (2020), "COVID-19 Data Hub", Journal of Open Source Software 5(51):2376, doi: 10.21105/joss.02376.*
+
+A BibTeX entry for LaTeX users is
+
+```latex
+@Article{,
+    title = {COVID-19 Data Hub},
+    year = {2020},
+    doi = {10.21105/joss.02376},
+    author = {Emanuele Guidotti and David Ardia},
+    journal = {Journal of Open Source Software},
+    volume = {5},
+    number = {51},
+    pages = {2376}
+}
+```
+
+
+
+%prep
+%autosetup -n covid19dh-2.3.0
+
+%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-covid19dh -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.3.0-1
+- Package Spec generated