├── nomnom ├── __init__.py ├── api │ ├── qcreport │ │ ├── __init__.py │ │ └── plot.py │ ├── __init__.py │ ├── assimilated_proxies.py │ ├── units.py │ └── utils.py └── cli.py ├── NEWS.md ├── setup.py ├── README.md └── LICENSE /nomnom/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /nomnom/api/qcreport/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /nomnom/api/__init__.py: -------------------------------------------------------------------------------- 1 | """Processing data-assimilation output after run""" -------------------------------------------------------------------------------- /NEWS.md: -------------------------------------------------------------------------------- 1 | # nomnom v0.0.1a1 2 | 3 | ## Bug fixes 4 | 5 | * Fix bad README example. 6 | 7 | * Fix runs failing on DA output using "recon_months" from LMR DA update. 8 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | from setuptools import setup, find_packages 2 | 3 | setup( 4 | name='nomnom', 5 | version='0.0.1a1', 6 | license='GPLv3', 7 | description='Quick and dirty tools to parse Last Millennium Reanalysis (LMR) data assimilation output ', 8 | 9 | author='S. Brewster Malevich', 10 | author_email='malevich@email.arizona.edu', 11 | url='https://github.com/brews/nomnom', 12 | 13 | packages=find_packages(), 14 | install_requires=['numpy', 'xarray', 'click', 'cartopy', 'matplotlib', 'tqdm'], 15 | 16 | entry_points={ 17 | 'console_scripts': [ 18 | 'nomnom = nomnom.cli:nomnom_cli', 19 | ] 20 | }, 21 | ) 22 | -------------------------------------------------------------------------------- /nomnom/api/assimilated_proxies.py: -------------------------------------------------------------------------------- 1 | import collections 2 | 3 | import numpy as np 4 | 5 | 6 | def read_assimilated_proxies(fl): 7 | """Read assimilated_proxies.npy and return list of named tuples. 8 | """ 9 | x = np.load(fl) 10 | Proxy = collections.namedtuple('Proxy', ['name', 'proxy_type', 'lat', 'lon', 'years', 'sensitivity']) 11 | 12 | out = [] 13 | for entry in x: 14 | for k, v in entry.items(): 15 | 16 | ptype = str(k).split('_') 17 | if 'mgca' in ptype: 18 | cleaned_type = ' '.join(ptype[1:-1]) 19 | else: 20 | cleaned_type = ' '.join(ptype[1:]) 21 | 22 | p = Proxy(name=str(v[0]), proxy_type=cleaned_type, 23 | lat=float(v[1]), lon=float(v[2]), 24 | years=np.array(v[3]), 25 | sensitivity=str(v[4])) 26 | out.append(p) 27 | return out -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # nomnom 2 | Quick and dirty lab-internal tools to parse Last Millennium Reanalysis (LMR) data assimilation (DA) output. 3 | 4 | This project is under activate development. 5 | 6 | 7 | ## Quick example 8 | 9 | From a terminal, run: 10 | 11 | ```bash 12 | nomnom report --dapath /path_to/lmr_output/r0 --outpdf da_report.pdf 13 | ``` 14 | 15 | This reads LMR DA directory output and then writes a quick and dirty PDF, handy for quality control. 16 | 17 | You can read more options with `--help`, like: 18 | 19 | ```bash 20 | nomnom --help 21 | 22 | nomnom report --help 23 | ``` 24 | 25 | 26 | ## Installation 27 | 28 | To install **nomnom** from GitHub with pip, run: 29 | 30 | ```bash 31 | $ pip install git+https://github.com/brews/nomnom.git#egg=nomnom 32 | ``` 33 | 34 | 35 | ## Support and development 36 | 37 | Please feel free to report bugs and issues, or view the source code on GitHub (https://github.com/brews/nomnom). 38 | 39 | 40 | ## License 41 | 42 | **nomnom** is available under the Open Source GPLv3 (https://www.gnu.org/licenses). -------------------------------------------------------------------------------- /nomnom/cli.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | import click 4 | 5 | import nomnom.api.units 6 | import nomnom.api.utils 7 | import nomnom.api.qcreport.plot as daplot 8 | import nomnom.api.assimilated_proxies as proxies 9 | 10 | 11 | # Main entry point 12 | @click.group(context_settings={'help_option_names': ['-h', '--help']}) 13 | def nomnom_cli(): 14 | """Parse output from Last Millennium Reanalysis (LMR) data assimilation (DA) 15 | """ 16 | pass 17 | 18 | 19 | @nomnom_cli.command(help='Write PDF report from DA output directory') 20 | @click.option('--dapath', help='Path to directory with DA output files') 21 | @click.option('--outpdf', help='Where to write output PDF file') 22 | def report(dapath, outpdf): 23 | """Produce PDF report from data assimilation output directory 24 | """ 25 | target_fields = nomnom.api.utils.list_ensemblefields(dapath) 26 | target_fields.sort() 27 | 28 | out_fields = [] 29 | for f in target_fields: 30 | out_fields.append(nomnom.api.utils.read_field(f, dapath)) 31 | 32 | out_fields = [nomnom.api.units.unit_cleaning(f) for f in out_fields] 33 | 34 | try: 35 | assim_proxies = proxies.read_assimilated_proxies(os.path.join(dapath, 'assimilated_proxies.npy')) 36 | except FileNotFoundError: 37 | assim_proxies = None 38 | 39 | daplot.write_reportpdf(outpdf, *out_fields, assim_proxies=assim_proxies) 40 | -------------------------------------------------------------------------------- /nomnom/api/units.py: -------------------------------------------------------------------------------- 1 | import collections 2 | import logging 3 | 4 | 5 | log = logging.getLogger(__name__) 6 | cleaning_delegator = collections.defaultdict(list) 7 | 8 | 9 | def clean(da_field): 10 | """Decorator to register functions for cleaning data assimilation output 11 | """ 12 | def decor(func): 13 | cleaning_delegator[da_field].append(func) 14 | return func 15 | return decor 16 | 17 | 18 | def bcad_to_bp(df, varname='time'): 19 | """Convert time units from BC/AD to years before present 20 | """ 21 | out = df.copy() 22 | out[varname] = 1950 - out[varname] 23 | return out 24 | 25 | 26 | def kelvin_to_celsius(df, varname='xam'): 27 | """Convert temperature from kelvin to celsius 28 | """ 29 | out = df.copy() 30 | out[varname] = out[varname] - 273.15 31 | return out 32 | 33 | 34 | def cleaning_default(da_output): 35 | """Default function to clean units and populate metadata for da_output 36 | """ 37 | return da_output 38 | 39 | 40 | @clean('pr_sfc_Adec') 41 | @clean('wap_700hPa_Adec') 42 | @clean('sos_sfc_Odec') 43 | @clean('zg_500hPa_Adec') 44 | @clean('prw_int_Adec') 45 | @clean('psl_sfc_Adec') 46 | def fieldplot_temps(da_output): 47 | out = da_output.copy() 48 | out = bcad_to_bp(out) 49 | return out 50 | 51 | 52 | @clean('ts_sfc_Adec') 53 | @clean('tas_sfc_Adec') 54 | @clean('tos_sfc_Odec') 55 | def fieldplot_temps(da_output): 56 | out = da_output.copy() 57 | out = bcad_to_bp(out) 58 | out = kelvin_to_celsius(out) 59 | return out 60 | 61 | 62 | def unit_cleaning(da_output): 63 | """Convert units and populate metadata for da_output 64 | """ 65 | log.debug('Cleaning units and metadata') 66 | out = da_output.copy() 67 | cleanfuns = cleaning_delegator.get(da_output.attrs['da_field'], [cleaning_default]) 68 | 69 | for fun in cleanfuns: 70 | out = fun(out) 71 | 72 | return out 73 | 74 | -------------------------------------------------------------------------------- /nomnom/api/utils.py: -------------------------------------------------------------------------------- 1 | import os 2 | import glob 3 | import re 4 | 5 | import numpy as np 6 | import xarray as xr 7 | 8 | 9 | def distance(lon1, lat1, lon2, lat2): 10 | """Greater-sphere distance (km) between two latlon points 11 | """ 12 | earth_r = 6371 13 | startlat_r = np.deg2rad(lat1) 14 | stoplat_r = np.deg2rad(lat2) 15 | lon_dif = np.deg2rad(lon2 - lon1) 16 | lat_dif = np.deg2rad(lat2 - lat1) 17 | a = (np.sin(lat_dif/2.0) * np.sin(lat_dif/2.0) 18 | + np.cos(startlat_r) * np.cos(stoplat_r) 19 | * np.sin(lon_dif/2.0) * np.sin(lon_dif/2.0)) 20 | c = 2.0 * np.arctan2(np.sqrt(a), np.sqrt(1 - a)) 21 | return earth_r * c 22 | 23 | 24 | def closest_xy(lat, lon, df): 25 | stacked = df.stack(xy=('x', 'y')) 26 | d = distance(lon, lat, stacked['lon'], stacked['lat']) 27 | min_val = d.unstack('xy').where(d.unstack('xy') == d.unstack('xy').min(), drop=True) 28 | return np.asscalar(min_val.x), np.asscalar(min_val.y) 29 | 30 | 31 | def read_ensemblenpz(path): 32 | """Convert input DA ensemble NPZ file to xarray.Dataset""" 33 | d = np.load(path) 34 | # TODO(brews): Need to add metadata and reference_time. Maybe units. 35 | # TODO(brews): Do we need to worry about overflowing the float for time? 36 | # TODO(brews): Include other attrs that are in npz file. 37 | try: 38 | assert d['xbm'].ndim == 2 and d['xam'].ndim == 3 39 | ds = xr.Dataset({'xbm': (['y', 'x'], d['xbm']), 40 | 'xam': (['time', 'y', 'x'], d['xam'])}, 41 | coords = {'lat': (['y', 'x'], d['lat']), 42 | 'lon': (['y', 'x'], d['lon']), 43 | 'time': d['years'].astype(np.float)}) 44 | except KeyError: 45 | assert d['xbv'].ndim == 2 and d['xav'].ndim == 3 46 | ds = xr.Dataset({'xbv': (['y', 'x'], d['xbv']), 47 | 'xav': (['time', 'y', 'x'], d['xav'])}, 48 | coords = {'lat': (['y', 'x'], d['lat']), 49 | 'lon': (['y', 'x'], d['lon']), 50 | 'time': d['years'].astype(np.float)}) 51 | return ds 52 | 53 | 54 | def global_wmean(da, latlon_dims=('y', 'x')): 55 | """Cos(lat) weighted global mean for an xarray.DataArray taken from an ensemblenpz""" 56 | # We are making some strong assumptions about the structure of da. 57 | wgts = np.cos(np.deg2rad(da.lat)) 58 | if da.lat.ndim < 2 and da.lon.ndim < 2: 59 | wgts = np.stack([wgts] * len(da.lon)).T 60 | return (da * wgts).stack(z=latlon_dims).sum('z') / wgts.sum() 61 | 62 | 63 | def list_ensemblefields(path): 64 | """Get list of ensemble fields at DA output path""" 65 | files = glob.glob(os.path.join(path, 'ensemble*.npz')) 66 | matches = [re.search('(ensemble_mean|ensemble_variance)_(\w+)\.npz$', s) for s in files] 67 | return list(set([m.groups()[1] for m in matches])) 68 | 69 | 70 | def read_field(field, path='.'): 71 | """Get dataset of DA ensemble field at path""" 72 | files = glob.glob(os.path.join(path, 'ensemble*{0}.npz'.format(field))) 73 | ds = xr.merge([read_ensemblenpz(fl) for fl in files]) 74 | ds.attrs['da_field'] = field 75 | return ds 76 | -------------------------------------------------------------------------------- /nomnom/api/qcreport/plot.py: -------------------------------------------------------------------------------- 1 | import collections 2 | import logging 3 | 4 | import tqdm 5 | import numpy as np 6 | from matplotlib.backends.backend_pdf import PdfPages 7 | import matplotlib.pylab as plt 8 | import cartopy.feature as cfeature 9 | import cartopy.crs as ccrs 10 | 11 | import nomnom.api.utils as utils 12 | 13 | 14 | log = logging.getLogger(__name__) 15 | plot_delegator = collections.defaultdict(list) 16 | 17 | 18 | def site_map(assim_proxies, ax=None, jitter=True): 19 | """Simple global site map, given an iterable of proxy named tuples. 20 | """ 21 | if ax is None: 22 | ax = plt.gca(projection=ccrs.Robinson()) 23 | ax.set_global() 24 | ax.add_feature(cfeature.LAND, facecolor='#B0B0B0', zorder=0) 25 | ax.outline_patch.set_linewidth(0.5) 26 | 27 | # Break site latlons into proxy type groups. 28 | latlon = collections.defaultdict(list) 29 | for p in assim_proxies: 30 | latlon[p.proxy_type].append((p.lat, p.lon)) 31 | 32 | # Plot by proxy type, sorted. 33 | ptypes = list(latlon.keys()) 34 | # ptypes.sort() 35 | for k in ptypes: 36 | v = latlon[k] 37 | lat, lon = zip(*v) 38 | 39 | if jitter: 40 | lon += np.random.randn(len(lon)) * 0.75 41 | lat += np.random.randn(len(lat)) * 0.75 42 | 43 | ax.scatter(x=lon, 44 | y=lat, 45 | s=50, facecolors='none', 46 | edgecolors= 'C' + str(ptypes.index(k)), 47 | marker='.', transform=ccrs.Geodetic(), label=str(k)) 48 | return ax 49 | 50 | 51 | def daplot(da_field): 52 | """Decorator to register functions for plotting data assimilation output""" 53 | def decor(func): 54 | plot_delegator[da_field].append(func) 55 | return func 56 | return decor 57 | 58 | 59 | def fieldplot_default(da_output, fig=None): 60 | if fig is None: 61 | fig = plt.figure(figsize=(6.5, 9)) 62 | 63 | title_str = str(da_output.attrs['da_field']) 64 | 65 | ax1 = plt.subplot2grid((4, 2), (0, 0), colspan=2) 66 | ax2 = plt.subplot2grid((4, 2), (1, 0), colspan=2) 67 | ax3 = plt.subplot2grid((4, 2), (2, 0), projection=ccrs.Robinson()) 68 | ax4 = plt.subplot2grid((4, 2), (2, 1), projection=ccrs.Robinson()) 69 | ax5 = plt.subplot2grid((4, 2), (3, 0), projection=ccrs.Robinson()) 70 | 71 | mean_global = utils.global_wmean(da_output) 72 | mean_global.xam.plot(label='DA global ensemble mean', ax=ax1) 73 | ax1.set_title(title_str) 74 | ax1.grid(True) 75 | ax1.legend() 76 | 77 | lh = da_output.sel(time=slice(3000, 1000)).mean(dim='time') 78 | mh = da_output.sel(time=slice(8000, 6000)).mean(dim='time') 79 | lgm = da_output.sel(time=slice(22000, 20000)).mean(dim='time') 80 | 81 | da_output.xam.mean(dim='x').plot(y='y', ax=ax2) 82 | ax2.grid(True) 83 | 84 | cb_kws = {'orientation': 'horizontal'} 85 | 86 | lh.xam.plot.pcolormesh('lon', 'lat', ax=ax3, 87 | transform=ccrs.PlateCarree(), 88 | cbar_kwargs=cb_kws) 89 | ax3.set_title('LH') 90 | ax3.coastlines() 91 | 92 | (mh.xam - lh.xam).plot.pcolormesh('lon', 'lat', ax=ax4, 93 | transform=ccrs.PlateCarree(), 94 | cbar_kwargs=cb_kws) 95 | ax4.set_title('MH - LH') 96 | ax4.coastlines() 97 | 98 | (lgm.xam - lh.xam).plot.pcolormesh('lon', 'lat', ax=ax5, 99 | transform=ccrs.PlateCarree(), 100 | cbar_kwargs=cb_kws) 101 | ax5.set_title('LGM - LH') 102 | ax5.coastlines() 103 | 104 | return fig 105 | 106 | 107 | @daplot('tas_sfc_Adec') 108 | @daplot('tos_sfc_Odec') 109 | def fieldplot_keytemps(da_output, fig=None): 110 | if fig is None: 111 | fig = plt.figure(figsize=(6.5, 9)) 112 | 113 | title_str = str(da_output.attrs['da_field']) 114 | 115 | ax1 = plt.subplot2grid((4, 2), (0, 0), colspan=2) 116 | ax2 = plt.subplot2grid((4, 2), (1, 0), colspan=2) 117 | ax3 = plt.subplot2grid((4, 2), (2, 0), projection=ccrs.Robinson()) 118 | ax4 = plt.subplot2grid((4, 2), (2, 1), projection=ccrs.Robinson()) 119 | ax5 = plt.subplot2grid((4, 2), (3, 0), projection=ccrs.Robinson()) 120 | 121 | mean_global = utils.global_wmean(da_output) 122 | mean_global.xam.plot(label='DA global ensemble mean', ax=ax1) 123 | ax1.set_title(title_str) 124 | ax1.grid(True) 125 | ax1.legend() 126 | 127 | lh = da_output.sel(time=slice(3000, 1000)).mean(dim='time') 128 | mh = da_output.sel(time=slice(8000, 5000)).mean(dim='time') 129 | lgm = da_output.sel(time=slice(22000, 19000)).mean(dim='time') 130 | 131 | da_output.xam.mean(dim='x').plot(y='y', ax=ax2) 132 | ax2.grid(True) 133 | 134 | cb_kws = {'orientation': 'horizontal'} 135 | 136 | lh.xam.plot.pcolormesh('lon', 'lat', ax=ax3, 137 | transform=ccrs.PlateCarree(), 138 | cbar_kwargs=cb_kws) 139 | ax3.set_title('LH') 140 | ax3.coastlines() 141 | 142 | (mh.xam - lh.xam).plot.pcolormesh('lon', 'lat', ax=ax4, 143 | transform=ccrs.PlateCarree(), 144 | cbar_kwargs=cb_kws) 145 | ax4.set_title('MH - LH') 146 | ax4.coastlines() 147 | 148 | (lgm.xam - lh.xam).plot.pcolormesh('lon', 'lat', ax=ax5, 149 | transform=ccrs.PlateCarree(), 150 | cbar_kwargs=cb_kws) 151 | ax5.set_title('LGM - LH') 152 | ax5.coastlines() 153 | 154 | return fig 155 | 156 | 157 | @daplot('tas_sfc_Adec') 158 | @daplot('tos_sfc_Odec') 159 | def fieldplot_keytemps_timeseries(da_output, fig=None): 160 | if fig is None: 161 | fig = plt.figure(figsize=(6.5, 9)) 162 | 163 | title_str = str(da_output.attrs['da_field']) 164 | 165 | ax1 = plt.subplot(4, 1, 1) 166 | 167 | natlantic_latlon = (56.23914915, -48.07422501) 168 | xy = utils.closest_xy(*natlantic_latlon, da_output) 169 | nearest_point = da_output.sel(x=xy[0], y=xy[1]) 170 | ax1.errorbar(y=nearest_point.xam.values, x=nearest_point.time.values, 171 | yerr=nearest_point.xav.values, label='N. Atlantic') 172 | ax1.set_title(title_str) 173 | ax1.grid(True) 174 | ax1.legend() 175 | 176 | ax2 = plt.subplot(4, 1, 2) 177 | 178 | eeqpac_latlon = (0.1, -90.1) 179 | xy = utils.closest_xy(*eeqpac_latlon, da_output) 180 | nearest_point = da_output.sel(x=xy[0], y=xy[1]) 181 | ax2.errorbar(y=nearest_point.xam.values, x=nearest_point.time.values, 182 | yerr=nearest_point.xav.values, label='E. Eq. Pacific') 183 | ax2.grid(True) 184 | ax2.legend() 185 | 186 | ax3 = plt.subplot(4, 1, 3) 187 | 188 | maui_latlon = (20.77473733, -156.26197385) 189 | xy = utils.closest_xy(*maui_latlon, da_output) 190 | nearest_point = da_output.sel(x=xy[0], y=xy[1]) 191 | ax3.errorbar(y=nearest_point.xam.values, x=nearest_point.time.values, 192 | yerr=nearest_point.xav.values, label='Maui') 193 | ax3.grid(True) 194 | ax3.legend() 195 | 196 | ax4 = plt.subplot(4, 1, 4) 197 | 198 | socean_latlon = (-64.742719, -12.345419) 199 | xy = utils.closest_xy(*socean_latlon, da_output) 200 | nearest_point = da_output.sel(x=xy[0], y=xy[1]) 201 | ax4.errorbar(y=nearest_point.xam.values, x=nearest_point.time.values, 202 | yerr=nearest_point.xav.values, label='S. Ocean') 203 | ax4.grid(True) 204 | ax4.legend() 205 | 206 | return fig 207 | 208 | 209 | def proxyplot(assim_proxies, fig=None): 210 | """Plots for the assimilated_proxies numpy array in DA output""" 211 | if fig is None: 212 | fig = plt.figure(figsize=(6.5, 9)) 213 | 214 | title_str = 'Assimilated proxies' 215 | 216 | type_time = collections.defaultdict(list) 217 | time_all = [] 218 | for p in assim_proxies: 219 | ptype = p.proxy_type 220 | ptime = np.array(p.years) 221 | ptime = 1950 - ptime # BCAD to yr BP 222 | type_time[ptype].extend(list(ptime)) 223 | time_all.extend(list(ptime)) 224 | 225 | n_bins = 20 # len(set(time_all)) # This doesn't work 'cause is time not binned time. 226 | 227 | ax1 = plt.subplot(2, 1, 1, projection=ccrs.Robinson()) 228 | ax1 = site_map(assim_proxies, ax=ax1) 229 | ax1.set_title(title_str) 230 | 231 | ax2 = plt.subplot(2, 1, 2) 232 | 233 | lab = list(type_time.keys()) 234 | val = list(type_time.values()) 235 | 236 | ax2.hist(val, bins=n_bins, stacked=True, label=lab) 237 | ax2.yaxis.grid(True) 238 | ax2.set_ylabel('Proxy sample count') 239 | ax2.set_xlabel('Time (Cal year BP)') 240 | ax2.legend() 241 | 242 | return fig 243 | 244 | 245 | def write_reportpdf(pdf_path, *da_output, assim_proxies=None): 246 | log.debug('Writing DA report') 247 | 248 | with PdfPages(pdf_path) as pdf: 249 | 250 | if assim_proxies is not None: 251 | fig = plt.figure(figsize=(6.5, 9)) 252 | fig = proxyplot(assim_proxies, fig=fig) 253 | fig.tight_layout() 254 | pdf.savefig(bbox_inches='tight') 255 | plt.close() 256 | 257 | for d in tqdm.tqdm(da_output): 258 | plotfuns = plot_delegator.get(d.attrs['da_field'], [fieldplot_default]) 259 | 260 | for fun in plotfuns: 261 | fig = plt.figure(figsize=(6.5, 9)) 262 | fig = fun(d, fig=fig) 263 | fig.tight_layout() 264 | pdf.savefig(bbox_inches='tight') 265 | plt.close() 266 | 267 | log.debug('DA report saved to {}'.format(pdf_path)) 268 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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No Surrender of Others' Freedom. 541 | 542 | If conditions are imposed on you (whether by court order, agreement or 543 | otherwise) that contradict the conditions of this License, they do not 544 | excuse you from the conditions of this License. If you cannot convey a 545 | covered work so as to satisfy simultaneously your obligations under this 546 | License and any other pertinent obligations, then as a consequence you may 547 | not convey it at all. For example, if you agree to terms that obligate you 548 | to collect a royalty for further conveying from those to whom you convey 549 | the Program, the only way you could satisfy both those terms and this 550 | License would be to refrain entirely from conveying the Program. 551 | 552 | 13. Use with the GNU Affero General Public License. 553 | 554 | Notwithstanding any other provision of this License, you have 555 | permission to link or combine any covered work with a work licensed 556 | under version 3 of the GNU Affero General Public License into a single 557 | combined work, and to convey the resulting work. The terms of this 558 | License will continue to apply to the part which is the covered work, 559 | but the special requirements of the GNU Affero General Public License, 560 | section 13, concerning interaction through a network will apply to the 561 | combination as such. 562 | 563 | 14. Revised Versions of this License. 564 | 565 | The Free Software Foundation may publish revised and/or new versions of 566 | the GNU General Public License from time to time. Such new versions will 567 | be similar in spirit to the present version, but may differ in detail to 568 | address new problems or concerns. 569 | 570 | Each version is given a distinguishing version number. If the 571 | Program specifies that a certain numbered version of the GNU General 572 | Public License "or any later version" applies to it, you have the 573 | option of following the terms and conditions either of that numbered 574 | version or of any later version published by the Free Software 575 | Foundation. If the Program does not specify a version number of the 576 | GNU General Public License, you may choose any version ever published 577 | by the Free Software Foundation. 578 | 579 | If the Program specifies that a proxy can decide which future 580 | versions of the GNU General Public License can be used, that proxy's 581 | public statement of acceptance of a version permanently authorizes you 582 | to choose that version for the Program. 583 | 584 | Later license versions may give you additional or different 585 | permissions. However, no additional obligations are imposed on any 586 | author or copyright holder as a result of your choosing to follow a 587 | later version. 588 | 589 | 15. Disclaimer of Warranty. 590 | 591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | {one line to give the program's name and a brief idea of what it does.} 635 | Copyright (C) {year} {name of author} 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | {project} Copyright (C) {year} {fullname} 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . --------------------------------------------------------------------------------