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50f1f1dafb2457573248de3a34366713f5d54e939072cb799ec8c116fee0a92f | def regnety002(**kwargs):
"\n RegNetY-200MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=24, channels_slope=36.44, channels_mult=2.49, depth=13, groups=8, use_se=True, model_name='regnety002', **kwargs) | RegNetY-200MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety002 | JacobARose/imgclsmob | 2,649 | python | def regnety002(**kwargs):
"\n RegNetY-200MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=24, channels_slope=36.44, channels_mult=2.49, depth=13, groups=8, use_se=True, model_name='regnety002', **kwargs) | def regnety002(**kwargs):
"\n RegNetY-200MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=24, channels_slope=36.44, channels_mult=2.49, depth=13, groups=8, use_se=True, model_name='regnety002', **kwargs)<|docstring|>RegNetY-200MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
a27c4eda49fa2e7cb4da14d039b715e46c59bfdc75784090e111af44306ecb82 | def regnety004(**kwargs):
"\n RegNetY-400MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=48, channels_slope=27.89, channels_mult=2.09, depth=16, groups=8, use_se=True, model_name='regnety004', **kwargs) | RegNetY-400MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety004 | JacobARose/imgclsmob | 2,649 | python | def regnety004(**kwargs):
"\n RegNetY-400MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=48, channels_slope=27.89, channels_mult=2.09, depth=16, groups=8, use_se=True, model_name='regnety004', **kwargs) | def regnety004(**kwargs):
"\n RegNetY-400MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=48, channels_slope=27.89, channels_mult=2.09, depth=16, groups=8, use_se=True, model_name='regnety004', **kwargs)<|docstring|>RegNetY-400MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
c3f2e33be3ec0797dba223068481e2178d369ff65d722b1e6c2c442970d14e10 | def regnety006(**kwargs):
"\n RegNetY-600MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=48, channels_slope=32.54, channels_mult=2.32, depth=15, groups=16, use_se=True, model_name='regnety006', **kwargs) | RegNetY-600MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety006 | JacobARose/imgclsmob | 2,649 | python | def regnety006(**kwargs):
"\n RegNetY-600MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=48, channels_slope=32.54, channels_mult=2.32, depth=15, groups=16, use_se=True, model_name='regnety006', **kwargs) | def regnety006(**kwargs):
"\n RegNetY-600MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=48, channels_slope=32.54, channels_mult=2.32, depth=15, groups=16, use_se=True, model_name='regnety006', **kwargs)<|docstring|>RegNetY-600MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
61e1ed887e77993ba6cbb7a64e669c48623eab51eee91df8c662564387ef41ce | def regnety008(**kwargs):
"\n RegNetY-800MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=56, channels_slope=38.84, channels_mult=2.4, depth=14, groups=16, use_se=True, model_name='regnety008', **kwargs) | RegNetY-800MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety008 | JacobARose/imgclsmob | 2,649 | python | def regnety008(**kwargs):
"\n RegNetY-800MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=56, channels_slope=38.84, channels_mult=2.4, depth=14, groups=16, use_se=True, model_name='regnety008', **kwargs) | def regnety008(**kwargs):
"\n RegNetY-800MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=56, channels_slope=38.84, channels_mult=2.4, depth=14, groups=16, use_se=True, model_name='regnety008', **kwargs)<|docstring|>RegNetY-800MF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
e1e0c74bf9565ee440edaeb503a4667227e4b03d2abbebb79abd8835deb1217e | def regnety016(**kwargs):
"\n RegNetY-1.6GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=48, channels_slope=20.71, channels_mult=2.65, depth=27, groups=24, use_se=True, model_name='regnety016', **kwargs) | RegNetY-1.6GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety016 | JacobARose/imgclsmob | 2,649 | python | def regnety016(**kwargs):
"\n RegNetY-1.6GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=48, channels_slope=20.71, channels_mult=2.65, depth=27, groups=24, use_se=True, model_name='regnety016', **kwargs) | def regnety016(**kwargs):
"\n RegNetY-1.6GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=48, channels_slope=20.71, channels_mult=2.65, depth=27, groups=24, use_se=True, model_name='regnety016', **kwargs)<|docstring|>RegNetY-1.6GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
6d129fd5f9787d8a327f52fed5418abf0cbeb2540e48ee44f5431670a99f77c4 | def regnety032(**kwargs):
"\n RegNetY-3.2GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=80, channels_slope=42.63, channels_mult=2.66, depth=21, groups=24, use_se=True, model_name='regnety032', **kwargs) | RegNetY-3.2GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety032 | JacobARose/imgclsmob | 2,649 | python | def regnety032(**kwargs):
"\n RegNetY-3.2GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=80, channels_slope=42.63, channels_mult=2.66, depth=21, groups=24, use_se=True, model_name='regnety032', **kwargs) | def regnety032(**kwargs):
"\n RegNetY-3.2GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=80, channels_slope=42.63, channels_mult=2.66, depth=21, groups=24, use_se=True, model_name='regnety032', **kwargs)<|docstring|>RegNetY-3.2GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
d1cf34915e89ccf8128034ae20756538b66c4156459257220f1c8e0138822342 | def regnety040(**kwargs):
"\n RegNetY-4.0GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=96, channels_slope=31.41, channels_mult=2.24, depth=22, groups=64, use_se=True, model_name='regnety040', **kwargs) | RegNetY-4.0GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety040 | JacobARose/imgclsmob | 2,649 | python | def regnety040(**kwargs):
"\n RegNetY-4.0GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=96, channels_slope=31.41, channels_mult=2.24, depth=22, groups=64, use_se=True, model_name='regnety040', **kwargs) | def regnety040(**kwargs):
"\n RegNetY-4.0GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=96, channels_slope=31.41, channels_mult=2.24, depth=22, groups=64, use_se=True, model_name='regnety040', **kwargs)<|docstring|>RegNetY-4.0GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
947a800582cfaa32246fe4b4b4fdccce930a3013ff378e07a4586c6f22645ab4 | def regnety064(**kwargs):
"\n RegNetY-6.4GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=112, channels_slope=33.22, channels_mult=2.27, depth=25, groups=72, use_se=True, model_name='regnety064', **kwargs) | RegNetY-6.4GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety064 | JacobARose/imgclsmob | 2,649 | python | def regnety064(**kwargs):
"\n RegNetY-6.4GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=112, channels_slope=33.22, channels_mult=2.27, depth=25, groups=72, use_se=True, model_name='regnety064', **kwargs) | def regnety064(**kwargs):
"\n RegNetY-6.4GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=112, channels_slope=33.22, channels_mult=2.27, depth=25, groups=72, use_se=True, model_name='regnety064', **kwargs)<|docstring|>RegNetY-6.4GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
5b5bee6a0bb4fafca824b36905058afd43ea825885196c0993edbe49322a8328 | def regnety080(**kwargs):
"\n RegNetY-8.0GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=192, channels_slope=76.82, channels_mult=2.19, depth=17, groups=56, use_se=True, model_name='regnety080', **kwargs) | RegNetY-8.0GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety080 | JacobARose/imgclsmob | 2,649 | python | def regnety080(**kwargs):
"\n RegNetY-8.0GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=192, channels_slope=76.82, channels_mult=2.19, depth=17, groups=56, use_se=True, model_name='regnety080', **kwargs) | def regnety080(**kwargs):
"\n RegNetY-8.0GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=192, channels_slope=76.82, channels_mult=2.19, depth=17, groups=56, use_se=True, model_name='regnety080', **kwargs)<|docstring|>RegNetY-8.0GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
1ae1472c5194c33471fe37e634ce956f7fd242adfce5d2ae9271ada5600cdfdb | def regnety120(**kwargs):
"\n RegNetY-12GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=168, channels_slope=73.36, channels_mult=2.37, depth=19, groups=112, use_se=True, model_name='regnety120', **kwargs) | RegNetY-12GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety120 | JacobARose/imgclsmob | 2,649 | python | def regnety120(**kwargs):
"\n RegNetY-12GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=168, channels_slope=73.36, channels_mult=2.37, depth=19, groups=112, use_se=True, model_name='regnety120', **kwargs) | def regnety120(**kwargs):
"\n RegNetY-12GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=168, channels_slope=73.36, channels_mult=2.37, depth=19, groups=112, use_se=True, model_name='regnety120', **kwargs)<|docstring|>RegNetY-12GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
514ecef676a4e5647a158cfa976d549e69bbbff38771cf98d9069f0d1f7b2ecd | def regnety160(**kwargs):
"\n RegNetY-16GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=200, channels_slope=106.23, channels_mult=2.48, depth=18, groups=112, use_se=True, model_name='regnety160', **kwargs) | RegNetY-16GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety160 | JacobARose/imgclsmob | 2,649 | python | def regnety160(**kwargs):
"\n RegNetY-16GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=200, channels_slope=106.23, channels_mult=2.48, depth=18, groups=112, use_se=True, model_name='regnety160', **kwargs) | def regnety160(**kwargs):
"\n RegNetY-16GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=200, channels_slope=106.23, channels_mult=2.48, depth=18, groups=112, use_se=True, model_name='regnety160', **kwargs)<|docstring|>RegNetY-16GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
4fbb1144a78f4d4c5caa2cdd6c8d90f402b91f4297ef61efa14aabb2123f4767 | def regnety320(**kwargs):
"\n RegNetY-32GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=232, channels_slope=115.89, channels_mult=2.53, depth=20, groups=232, use_se=True, model_name='regnety320', **kwargs) | RegNetY-32GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters. | pytorch/pytorchcv/models/regnet.py | regnety320 | JacobARose/imgclsmob | 2,649 | python | def regnety320(**kwargs):
"\n RegNetY-32GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=232, channels_slope=115.89, channels_mult=2.53, depth=20, groups=232, use_se=True, model_name='regnety320', **kwargs) | def regnety320(**kwargs):
"\n RegNetY-32GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for model.\n root : str, default '~/.torch/models'\n Location for keeping the model parameters.\n "
return get_regnet(channels_init=232, channels_slope=115.89, channels_mult=2.53, depth=20, groups=232, use_se=True, model_name='regnety320', **kwargs)<|docstring|>RegNetY-32GF model from 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Location for keeping the model parameters.<|endoftext|> |
cd82202b0b4d6dfb294160daaca3c476a86d2d00271e0704976b55dbcff2aa6a | def __init__(self, *, tagging_manager_uri: Opt[str]=attrib(default=None, metadata={CASING: 'TaggingManagerURI'}), security_server_uri: Opt[str]=attrib(default=None, metadata={CASING: 'SecurityServerURI'}), mirror_name: Opt[str]=None, index_path: Opt[str]=None, realtime_indexing_path: Opt[str]=None, slice_paths: Opt[Dict[(str, str)]]=None, index_identifier: Opt[str]=None, config_cache_page_size: int=1048576, config_cache_size: int=67108864) -> None:
'\n\n Parameters:\n tagging_manager_uri: The URI to the tagging manager\n security_server_uri: The security server URI\n mirror_name: The mirror name of this index\n index_path: The physical path for the index\n realtime_indexing_path: The physical path for the realtime indexing files.\n slice_paths: The physical paths for each slice.\n index_identifier: The index identifier.\n config_cache_page_size: The b-tree page size for the config cache.\n config_cache_size: The b-tree cache size for the config cache.\n ' | Parameters:
tagging_manager_uri: The URI to the tagging manager
security_server_uri: The security server URI
mirror_name: The mirror name of this index
index_path: The physical path for the index
realtime_indexing_path: The physical path for the realtime indexing files.
slice_paths: The physical paths for each slice.
index_identifier: The index identifier.
config_cache_page_size: The b-tree page size for the config cache.
config_cache_size: The b-tree cache size for the config cache. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | __init__ | jfallaire/generator-ps-boilerplate-project | 2 | python | def __init__(self, *, tagging_manager_uri: Opt[str]=attrib(default=None, metadata={CASING: 'TaggingManagerURI'}), security_server_uri: Opt[str]=attrib(default=None, metadata={CASING: 'SecurityServerURI'}), mirror_name: Opt[str]=None, index_path: Opt[str]=None, realtime_indexing_path: Opt[str]=None, slice_paths: Opt[Dict[(str, str)]]=None, index_identifier: Opt[str]=None, config_cache_page_size: int=1048576, config_cache_size: int=67108864) -> None:
'\n\n Parameters:\n tagging_manager_uri: The URI to the tagging manager\n security_server_uri: The security server URI\n mirror_name: The mirror name of this index\n index_path: The physical path for the index\n realtime_indexing_path: The physical path for the realtime indexing files.\n slice_paths: The physical paths for each slice.\n index_identifier: The index identifier.\n config_cache_page_size: The b-tree page size for the config cache.\n config_cache_size: The b-tree cache size for the config cache.\n ' | def __init__(self, *, tagging_manager_uri: Opt[str]=attrib(default=None, metadata={CASING: 'TaggingManagerURI'}), security_server_uri: Opt[str]=attrib(default=None, metadata={CASING: 'SecurityServerURI'}), mirror_name: Opt[str]=None, index_path: Opt[str]=None, realtime_indexing_path: Opt[str]=None, slice_paths: Opt[Dict[(str, str)]]=None, index_identifier: Opt[str]=None, config_cache_page_size: int=1048576, config_cache_size: int=67108864) -> None:
'\n\n Parameters:\n tagging_manager_uri: The URI to the tagging manager\n security_server_uri: The security server URI\n mirror_name: The mirror name of this index\n index_path: The physical path for the index\n realtime_indexing_path: The physical path for the realtime indexing files.\n slice_paths: The physical paths for each slice.\n index_identifier: The index identifier.\n config_cache_page_size: The b-tree page size for the config cache.\n config_cache_size: The b-tree cache size for the config cache.\n '<|docstring|>Parameters:
tagging_manager_uri: The URI to the tagging manager
security_server_uri: The security server URI
mirror_name: The mirror name of this index
index_path: The physical path for the index
realtime_indexing_path: The physical path for the realtime indexing files.
slice_paths: The physical paths for each slice.
index_identifier: The index identifier.
config_cache_page_size: The b-tree page size for the config cache.
config_cache_size: The b-tree cache size for the config cache.<|endoftext|> |
5e5cb5501a46e64ab5dee506a2bfc8beeef864dae3d5b24b609f4d73ccdfa25d | def __init__(self, *, host: Opt[str]=None, port: int=9200, username: Opt[str]=None, password: Opt[str]=None, url_prefix: Opt[str]=attrib(default=None, metadata={CASING: 'URLPrefix'}), use_ssl: Opt[bool]=attrib(default=None, metadata={CASING: 'UseSSL'}), verify_certs: Opt[bool]=None, ca_certs: Opt[str]=attrib(default=None, metadata={CASING: 'CACerts'}), client_cert: Opt[str]=None, client_key: Opt[str]=None, aws_access_key: Opt[str]=attrib(default=None, metadata={CASING: 'AWSAccessKey'}), aws_secret_key: Opt[str]=attrib(default=None, metadata={CASING: 'AWSSecretKey'}), aws_region: Opt[str]=attrib(default=None, metadata={CASING: 'AWSRegion'}), aws_service_name: Opt[str]=attrib(default=None, metadata={CASING: 'AWSServiceName'})) -> None:
"\n\n Parameters:\n host: The URI of th elasticsearch host (like 'host.adomain.com').\n port: The port to used (default is 9200).\n username: The user name for http_auth.\n password: The user's password for http_auth.\n url_prefix: The URL prefix.\n use_ssl: Whether we use SSL or not.\n verify_certs: Whether we check the certificates or not.\n ca_certs: Optional path to CA bundle on disk.\n client_cert: Path to the file containing the private key and the certificate, or cert only if using CientKey.\n client_key: Path to the file containing the private key if using separate cert and key files (client_cert will contain only the cert).\n aws_access_key: The AWS access key.\n aws_secret_key: The AWS secret key.\n aws_region: The AWS region.\n aws_service_name: The AWS service name.\n " | Parameters:
host: The URI of th elasticsearch host (like 'host.adomain.com').
port: The port to used (default is 9200).
username: The user name for http_auth.
password: The user's password for http_auth.
url_prefix: The URL prefix.
use_ssl: Whether we use SSL or not.
verify_certs: Whether we check the certificates or not.
ca_certs: Optional path to CA bundle on disk.
client_cert: Path to the file containing the private key and the certificate, or cert only if using CientKey.
client_key: Path to the file containing the private key if using separate cert and key files (client_cert will contain only the cert).
aws_access_key: The AWS access key.
aws_secret_key: The AWS secret key.
aws_region: The AWS region.
aws_service_name: The AWS service name. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | __init__ | jfallaire/generator-ps-boilerplate-project | 2 | python | def __init__(self, *, host: Opt[str]=None, port: int=9200, username: Opt[str]=None, password: Opt[str]=None, url_prefix: Opt[str]=attrib(default=None, metadata={CASING: 'URLPrefix'}), use_ssl: Opt[bool]=attrib(default=None, metadata={CASING: 'UseSSL'}), verify_certs: Opt[bool]=None, ca_certs: Opt[str]=attrib(default=None, metadata={CASING: 'CACerts'}), client_cert: Opt[str]=None, client_key: Opt[str]=None, aws_access_key: Opt[str]=attrib(default=None, metadata={CASING: 'AWSAccessKey'}), aws_secret_key: Opt[str]=attrib(default=None, metadata={CASING: 'AWSSecretKey'}), aws_region: Opt[str]=attrib(default=None, metadata={CASING: 'AWSRegion'}), aws_service_name: Opt[str]=attrib(default=None, metadata={CASING: 'AWSServiceName'})) -> None:
"\n\n Parameters:\n host: The URI of th elasticsearch host (like 'host.adomain.com').\n port: The port to used (default is 9200).\n username: The user name for http_auth.\n password: The user's password for http_auth.\n url_prefix: The URL prefix.\n use_ssl: Whether we use SSL or not.\n verify_certs: Whether we check the certificates or not.\n ca_certs: Optional path to CA bundle on disk.\n client_cert: Path to the file containing the private key and the certificate, or cert only if using CientKey.\n client_key: Path to the file containing the private key if using separate cert and key files (client_cert will contain only the cert).\n aws_access_key: The AWS access key.\n aws_secret_key: The AWS secret key.\n aws_region: The AWS region.\n aws_service_name: The AWS service name.\n " | def __init__(self, *, host: Opt[str]=None, port: int=9200, username: Opt[str]=None, password: Opt[str]=None, url_prefix: Opt[str]=attrib(default=None, metadata={CASING: 'URLPrefix'}), use_ssl: Opt[bool]=attrib(default=None, metadata={CASING: 'UseSSL'}), verify_certs: Opt[bool]=None, ca_certs: Opt[str]=attrib(default=None, metadata={CASING: 'CACerts'}), client_cert: Opt[str]=None, client_key: Opt[str]=None, aws_access_key: Opt[str]=attrib(default=None, metadata={CASING: 'AWSAccessKey'}), aws_secret_key: Opt[str]=attrib(default=None, metadata={CASING: 'AWSSecretKey'}), aws_region: Opt[str]=attrib(default=None, metadata={CASING: 'AWSRegion'}), aws_service_name: Opt[str]=attrib(default=None, metadata={CASING: 'AWSServiceName'})) -> None:
"\n\n Parameters:\n host: The URI of th elasticsearch host (like 'host.adomain.com').\n port: The port to used (default is 9200).\n username: The user name for http_auth.\n password: The user's password for http_auth.\n url_prefix: The URL prefix.\n use_ssl: Whether we use SSL or not.\n verify_certs: Whether we check the certificates or not.\n ca_certs: Optional path to CA bundle on disk.\n client_cert: Path to the file containing the private key and the certificate, or cert only if using CientKey.\n client_key: Path to the file containing the private key if using separate cert and key files (client_cert will contain only the cert).\n aws_access_key: The AWS access key.\n aws_secret_key: The AWS secret key.\n aws_region: The AWS region.\n aws_service_name: The AWS service name.\n "<|docstring|>Parameters:
host: The URI of th elasticsearch host (like 'host.adomain.com').
port: The port to used (default is 9200).
username: The user name for http_auth.
password: The user's password for http_auth.
url_prefix: The URL prefix.
use_ssl: Whether we use SSL or not.
verify_certs: Whether we check the certificates or not.
ca_certs: Optional path to CA bundle on disk.
client_cert: Path to the file containing the private key and the certificate, or cert only if using CientKey.
client_key: Path to the file containing the private key if using separate cert and key files (client_cert will contain only the cert).
aws_access_key: The AWS access key.
aws_secret_key: The AWS secret key.
aws_region: The AWS region.
aws_service_name: The AWS service name.<|endoftext|> |
912beba31fa3f801a8730d9efa2b50fbe7e8ceed48148afb140188580617a2fc | def __init__(self, *, message_store: Opt[str]=None, logger_config: Opt[str]=None) -> None:
'\n\n Parameters:\n message_store: Optional folder where to keep a copy of the add_document messages.\n logger_config: Optional logger configuration. Format to be defined.\n ' | Parameters:
message_store: Optional folder where to keep a copy of the add_document messages.
logger_config: Optional logger configuration. Format to be defined. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | __init__ | jfallaire/generator-ps-boilerplate-project | 2 | python | def __init__(self, *, message_store: Opt[str]=None, logger_config: Opt[str]=None) -> None:
'\n\n Parameters:\n message_store: Optional folder where to keep a copy of the add_document messages.\n logger_config: Optional logger configuration. Format to be defined.\n ' | def __init__(self, *, message_store: Opt[str]=None, logger_config: Opt[str]=None) -> None:
'\n\n Parameters:\n message_store: Optional folder where to keep a copy of the add_document messages.\n logger_config: Optional logger configuration. Format to be defined.\n '<|docstring|>Parameters:
message_store: Optional folder where to keep a copy of the add_document messages.
logger_config: Optional logger configuration. Format to be defined.<|endoftext|> |
39c85cb56113b65457afe1795d4f81a449230c946b1344e1ff0df8d86bceec32 | def __init__(self, *, connection_v: Opt[List[ElasticSearchConnection]]=None, indexer_config: Opt[ElasticSearchBladeConfig]=None) -> None:
'\n\n Parameters:\n connection_v: List of elasticsearch connections.\n indexer_config: Indexer blade config.\n ' | Parameters:
connection_v: List of elasticsearch connections.
indexer_config: Indexer blade config. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | __init__ | jfallaire/generator-ps-boilerplate-project | 2 | python | def __init__(self, *, connection_v: Opt[List[ElasticSearchConnection]]=None, indexer_config: Opt[ElasticSearchBladeConfig]=None) -> None:
'\n\n Parameters:\n connection_v: List of elasticsearch connections.\n indexer_config: Indexer blade config.\n ' | def __init__(self, *, connection_v: Opt[List[ElasticSearchConnection]]=None, indexer_config: Opt[ElasticSearchBladeConfig]=None) -> None:
'\n\n Parameters:\n connection_v: List of elasticsearch connections.\n indexer_config: Indexer blade config.\n '<|docstring|>Parameters:
connection_v: List of elasticsearch connections.
indexer_config: Indexer blade config.<|endoftext|> |
4c2fdeea5a8945fd2d50d9e561299ead62d695f0fea69d589b01f2e5cba4d45e | def __init__(self, *, inconsistent_index: Opt[bool]=None, inconsistent_config: Opt[bool]=None) -> None:
'\n\n Parameters:\n inconsistent_index: Whether the index is in an inconsistent state.\n inconsistent_config: Whether the index config is in an inconsistent state.\n ' | Parameters:
inconsistent_index: Whether the index is in an inconsistent state.
inconsistent_config: Whether the index config is in an inconsistent state. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | __init__ | jfallaire/generator-ps-boilerplate-project | 2 | python | def __init__(self, *, inconsistent_index: Opt[bool]=None, inconsistent_config: Opt[bool]=None) -> None:
'\n\n Parameters:\n inconsistent_index: Whether the index is in an inconsistent state.\n inconsistent_config: Whether the index config is in an inconsistent state.\n ' | def __init__(self, *, inconsistent_index: Opt[bool]=None, inconsistent_config: Opt[bool]=None) -> None:
'\n\n Parameters:\n inconsistent_index: Whether the index is in an inconsistent state.\n inconsistent_config: Whether the index config is in an inconsistent state.\n '<|docstring|>Parameters:
inconsistent_index: Whether the index is in an inconsistent state.
inconsistent_config: Whether the index config is in an inconsistent state.<|endoftext|> |
571b7aa71649a6347d29b8668afb1be778a260989ef647fb47ac3efb081c48e4 | @api('GET/ranking')
def get_ranking(self) -> Ranking:
'Get ranking configuration for the index.' | Get ranking configuration for the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_ranking | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/ranking')
def get_ranking(self) -> Ranking:
| @api('GET/ranking')
def get_ranking(self) -> Ranking:
<|docstring|>Get ranking configuration for the index.<|endoftext|> |
ead6af2807bb275777fa08cdffac267f210311a0836765cb9be703fd8d7ceb01 | @api('PUT/ranking')
def update_ranking(self, *, ranking: Ranking) -> None:
'Update ranking configuration in the index.\n\n Parameters:\n ranking: The updated configuration for ranking.\n ' | Update ranking configuration in the index.
Parameters:
ranking: The updated configuration for ranking. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_ranking | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/ranking')
def update_ranking(self, *, ranking: Ranking) -> None:
'Update ranking configuration in the index.\n\n Parameters:\n ranking: The updated configuration for ranking.\n ' | @api('PUT/ranking')
def update_ranking(self, *, ranking: Ranking) -> None:
'Update ranking configuration in the index.\n\n Parameters:\n ranking: The updated configuration for ranking.\n '<|docstring|>Update ranking configuration in the index.
Parameters:
ranking: The updated configuration for ranking.<|endoftext|> |
f9756936f3586e2d841f19aaa595359ccfc4ae0dd8e8fe76ec736c98eb937df6 | @api('GET/system')
def get_system(self) -> System:
'Get system configuration for the index.' | Get system configuration for the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_system | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/system')
def get_system(self) -> System:
| @api('GET/system')
def get_system(self) -> System:
<|docstring|>Get system configuration for the index.<|endoftext|> |
d214cf113ff5d6d2bf2fee7aba5539960c472b660d5d31e28657e1a8038da886 | @api('PUT/system', system='system')
def update_system(self, *, system: System) -> None:
'Update system configuration in the index.\n\n Parameters:\n system: The updated configuration for system.\n ' | Update system configuration in the index.
Parameters:
system: The updated configuration for system. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_system | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/system', system='system')
def update_system(self, *, system: System) -> None:
'Update system configuration in the index.\n\n Parameters:\n system: The updated configuration for system.\n ' | @api('PUT/system', system='system')
def update_system(self, *, system: System) -> None:
'Update system configuration in the index.\n\n Parameters:\n system: The updated configuration for system.\n '<|docstring|>Update system configuration in the index.
Parameters:
system: The updated configuration for system.<|endoftext|> |
4431a228c253ad4e644462f71d0fb9a5d319ba38eda08443c1a131185f6d5c6d | @api('GET/query_highlighter')
def get_query_highlighter(self) -> QueryHighlighter:
'Get query highlighter configuration for the index.' | Get query highlighter configuration for the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_query_highlighter | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/query_highlighter')
def get_query_highlighter(self) -> QueryHighlighter:
| @api('GET/query_highlighter')
def get_query_highlighter(self) -> QueryHighlighter:
<|docstring|>Get query highlighter configuration for the index.<|endoftext|> |
68d570ce59a676b447797653e5fc3910ce43935238a5e67fa66364a2bb455cb1 | @api('PUT/query_highlighter')
def update_query_highlighter(self, *, query_highlighter: QueryHighlighter) -> None:
'Update query highlighter configuration in the index.\n\n Parameters:\n query_highlighter: The updated configuration for query highlighter.\n ' | Update query highlighter configuration in the index.
Parameters:
query_highlighter: The updated configuration for query highlighter. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_query_highlighter | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/query_highlighter')
def update_query_highlighter(self, *, query_highlighter: QueryHighlighter) -> None:
'Update query highlighter configuration in the index.\n\n Parameters:\n query_highlighter: The updated configuration for query highlighter.\n ' | @api('PUT/query_highlighter')
def update_query_highlighter(self, *, query_highlighter: QueryHighlighter) -> None:
'Update query highlighter configuration in the index.\n\n Parameters:\n query_highlighter: The updated configuration for query highlighter.\n '<|docstring|>Update query highlighter configuration in the index.
Parameters:
query_highlighter: The updated configuration for query highlighter.<|endoftext|> |
0bdf1e46650ff37648c02a5a64789fdf39cc33fdfcbd6d33ef78953af6f64744 | @api('GET/query_highlighter/highlight_tags')
def get_highlight_tags(self) -> List[HighlightTag]:
'Get all the highlight tags in the index.' | Get all the highlight tags in the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_highlight_tags | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/query_highlighter/highlight_tags')
def get_highlight_tags(self) -> List[HighlightTag]:
| @api('GET/query_highlighter/highlight_tags')
def get_highlight_tags(self) -> List[HighlightTag]:
<|docstring|>Get all the highlight tags in the index.<|endoftext|> |
c1ea092e69a348c387fe3bf4942d5630e7b7d696ad4e615d7757895fdfc35234 | @api('GET/query_highlighter/highlight_tags/{highlight_tag_id}', highlight_tag_id='HighlightTagID')
def get_highlight_tag(self, *, highlight_tag_id: int) -> HighlightTag:
'Get a highlight tag from the index.\n\n Parameters:\n highlight_tag_id: The id of the highlight tag.\n ' | Get a highlight tag from the index.
Parameters:
highlight_tag_id: The id of the highlight tag. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_highlight_tag | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/query_highlighter/highlight_tags/{highlight_tag_id}', highlight_tag_id='HighlightTagID')
def get_highlight_tag(self, *, highlight_tag_id: int) -> HighlightTag:
'Get a highlight tag from the index.\n\n Parameters:\n highlight_tag_id: The id of the highlight tag.\n ' | @api('GET/query_highlighter/highlight_tags/{highlight_tag_id}', highlight_tag_id='HighlightTagID')
def get_highlight_tag(self, *, highlight_tag_id: int) -> HighlightTag:
'Get a highlight tag from the index.\n\n Parameters:\n highlight_tag_id: The id of the highlight tag.\n '<|docstring|>Get a highlight tag from the index.
Parameters:
highlight_tag_id: The id of the highlight tag.<|endoftext|> |
a7da2d47e331d76f322712cd141d8e29325926757c8b20c959181d93960cc7e2 | @api('POST/query_highlighter/highlight_tags')
def add_highlight_tag(self, *, highlight_tag: HighlightTag) -> None:
'Add a highlight tag to the index.\n\n Parameters:\n highlight_tag: The new highlight tag.\n ' | Add a highlight tag to the index.
Parameters:
highlight_tag: The new highlight tag. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | add_highlight_tag | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('POST/query_highlighter/highlight_tags')
def add_highlight_tag(self, *, highlight_tag: HighlightTag) -> None:
'Add a highlight tag to the index.\n\n Parameters:\n highlight_tag: The new highlight tag.\n ' | @api('POST/query_highlighter/highlight_tags')
def add_highlight_tag(self, *, highlight_tag: HighlightTag) -> None:
'Add a highlight tag to the index.\n\n Parameters:\n highlight_tag: The new highlight tag.\n '<|docstring|>Add a highlight tag to the index.
Parameters:
highlight_tag: The new highlight tag.<|endoftext|> |
c9312c87c6dce025be90abd65630b3ff93c89dd7917467f14f9c1d433b6c3415 | @api('PUT/query_highlighter/highlight_tags/{highlight_tag_id}', highlight_tag_id='HighlightTagID')
def update_highlight_tag(self, *, highlight_tag_id: int, highlight_tag: HighlightTag) -> None:
'Update a highlight tag in the index.\n\n Parameters:\n highlight_tag_id: The id of the highlight tag.\n highlight_tag: The updated highlight tag.\n ' | Update a highlight tag in the index.
Parameters:
highlight_tag_id: The id of the highlight tag.
highlight_tag: The updated highlight tag. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_highlight_tag | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/query_highlighter/highlight_tags/{highlight_tag_id}', highlight_tag_id='HighlightTagID')
def update_highlight_tag(self, *, highlight_tag_id: int, highlight_tag: HighlightTag) -> None:
'Update a highlight tag in the index.\n\n Parameters:\n highlight_tag_id: The id of the highlight tag.\n highlight_tag: The updated highlight tag.\n ' | @api('PUT/query_highlighter/highlight_tags/{highlight_tag_id}', highlight_tag_id='HighlightTagID')
def update_highlight_tag(self, *, highlight_tag_id: int, highlight_tag: HighlightTag) -> None:
'Update a highlight tag in the index.\n\n Parameters:\n highlight_tag_id: The id of the highlight tag.\n highlight_tag: The updated highlight tag.\n '<|docstring|>Update a highlight tag in the index.
Parameters:
highlight_tag_id: The id of the highlight tag.
highlight_tag: The updated highlight tag.<|endoftext|> |
b58da53a696516b872727a99f752b602af0fbff1d743bf98a9207daa3e78f8ae | @api('DELETE/query_highlighter/highlight_tags/{highlight_tag_id}', highlight_tag_id='HighlightTagID')
def delete_highlight_tag(self, *, highlight_tag_id: int) -> None:
'Delete a highlight tag contained in the index.\n\n Parameters:\n highlight_tag_id: The id of the highlight tag.\n ' | Delete a highlight tag contained in the index.
Parameters:
highlight_tag_id: The id of the highlight tag. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_highlight_tag | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/query_highlighter/highlight_tags/{highlight_tag_id}', highlight_tag_id='HighlightTagID')
def delete_highlight_tag(self, *, highlight_tag_id: int) -> None:
'Delete a highlight tag contained in the index.\n\n Parameters:\n highlight_tag_id: The id of the highlight tag.\n ' | @api('DELETE/query_highlighter/highlight_tags/{highlight_tag_id}', highlight_tag_id='HighlightTagID')
def delete_highlight_tag(self, *, highlight_tag_id: int) -> None:
'Delete a highlight tag contained in the index.\n\n Parameters:\n highlight_tag_id: The id of the highlight tag.\n '<|docstring|>Delete a highlight tag contained in the index.
Parameters:
highlight_tag_id: The id of the highlight tag.<|endoftext|> |
27253aa3065f34c836113ca190227dc37c945bdd415c5f7baf28f828fb42a6c3 | @api('GET/slices')
def get_slices(self) -> List[Slice]:
'Get all the slices in the index.' | Get all the slices in the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_slices | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/slices')
def get_slices(self) -> List[Slice]:
| @api('GET/slices')
def get_slices(self) -> List[Slice]:
<|docstring|>Get all the slices in the index.<|endoftext|> |
5b5d8487422a553d8d3bdcd0c468e5cbd4e10391d27afe063e05843e2e460f1e | @api('GET/slices/{slice_id}', slice_id='SliceID')
def get_slice(self, *, slice_id: int) -> Slice:
'Get a slice from the index.\n\n Parameters:\n slice_id: The id of the slice.\n ' | Get a slice from the index.
Parameters:
slice_id: The id of the slice. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_slice | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/slices/{slice_id}', slice_id='SliceID')
def get_slice(self, *, slice_id: int) -> Slice:
'Get a slice from the index.\n\n Parameters:\n slice_id: The id of the slice.\n ' | @api('GET/slices/{slice_id}', slice_id='SliceID')
def get_slice(self, *, slice_id: int) -> Slice:
'Get a slice from the index.\n\n Parameters:\n slice_id: The id of the slice.\n '<|docstring|>Get a slice from the index.
Parameters:
slice_id: The id of the slice.<|endoftext|> |
87af3c22650e81b1f9eddbd2c6c2ab195341fdeabfa5a4b2bc7b070a5e27536e | @api('POST/slices', slice_='Slice')
def add_slice(self, *, slice_: Slice) -> None:
'Add a slice to the index.\n\n Parameters:\n slice_: The new slice.\n ' | Add a slice to the index.
Parameters:
slice_: The new slice. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | add_slice | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('POST/slices', slice_='Slice')
def add_slice(self, *, slice_: Slice) -> None:
'Add a slice to the index.\n\n Parameters:\n slice_: The new slice.\n ' | @api('POST/slices', slice_='Slice')
def add_slice(self, *, slice_: Slice) -> None:
'Add a slice to the index.\n\n Parameters:\n slice_: The new slice.\n '<|docstring|>Add a slice to the index.
Parameters:
slice_: The new slice.<|endoftext|> |
600d9f7487a9d04d46b575e48664624f57c98891fa810e80834b311fbaf1f932 | @api('PUT/slices/{slice_id}', slice_id='SliceID', slice_='Slice')
def update_slice(self, *, slice_id: int, slice_: Slice) -> None:
'Update a slice in the index.\n\n Parameters:\n slice_id: The id of the slice.\n slice_: The updated slice.\n ' | Update a slice in the index.
Parameters:
slice_id: The id of the slice.
slice_: The updated slice. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_slice | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/slices/{slice_id}', slice_id='SliceID', slice_='Slice')
def update_slice(self, *, slice_id: int, slice_: Slice) -> None:
'Update a slice in the index.\n\n Parameters:\n slice_id: The id of the slice.\n slice_: The updated slice.\n ' | @api('PUT/slices/{slice_id}', slice_id='SliceID', slice_='Slice')
def update_slice(self, *, slice_id: int, slice_: Slice) -> None:
'Update a slice in the index.\n\n Parameters:\n slice_id: The id of the slice.\n slice_: The updated slice.\n '<|docstring|>Update a slice in the index.
Parameters:
slice_id: The id of the slice.
slice_: The updated slice.<|endoftext|> |
2ee6fd21fac51d78062d4b0b9c8b995c930f0820e489b18b4cbc9d75c47ab72a | @api('DELETE/slices/{slice_id}', slice_id='SliceID')
def delete_slice(self, *, slice_id: int) -> None:
'Delete a slice from the index.\n\n Parameters:\n slice_id: The id of the slice.\n ' | Delete a slice from the index.
Parameters:
slice_id: The id of the slice. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_slice | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/slices/{slice_id}', slice_id='SliceID')
def delete_slice(self, *, slice_id: int) -> None:
'Delete a slice from the index.\n\n Parameters:\n slice_id: The id of the slice.\n ' | @api('DELETE/slices/{slice_id}', slice_id='SliceID')
def delete_slice(self, *, slice_id: int) -> None:
'Delete a slice from the index.\n\n Parameters:\n slice_id: The id of the slice.\n '<|docstring|>Delete a slice from the index.
Parameters:
slice_id: The id of the slice.<|endoftext|> |
fb151bbec9d103061986ac3e0a4f56c3b2cb272811bed81cffbac9918cbe69d2 | @api('GET/results_previewers')
def get_results_previewers(self) -> List[ResultsPreviewer]:
'Get all the results previewers in the index.' | Get all the results previewers in the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_results_previewers | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/results_previewers')
def get_results_previewers(self) -> List[ResultsPreviewer]:
| @api('GET/results_previewers')
def get_results_previewers(self) -> List[ResultsPreviewer]:
<|docstring|>Get all the results previewers in the index.<|endoftext|> |
734fb367be06758d38b51e01410b03da422dd565575de4808f60ed57b08d25b0 | @api('GET/results_previewers/{results_previewer_id}', results_previewer_id='ResultsPreviewerID')
def get_results_previewer(self, *, results_previewer_id: int) -> ResultsPreviewer:
'Get a results previewer from the index.\n\n Parameters:\n results_previewer_id: The id of the results previewer.\n ' | Get a results previewer from the index.
Parameters:
results_previewer_id: The id of the results previewer. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_results_previewer | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/results_previewers/{results_previewer_id}', results_previewer_id='ResultsPreviewerID')
def get_results_previewer(self, *, results_previewer_id: int) -> ResultsPreviewer:
'Get a results previewer from the index.\n\n Parameters:\n results_previewer_id: The id of the results previewer.\n ' | @api('GET/results_previewers/{results_previewer_id}', results_previewer_id='ResultsPreviewerID')
def get_results_previewer(self, *, results_previewer_id: int) -> ResultsPreviewer:
'Get a results previewer from the index.\n\n Parameters:\n results_previewer_id: The id of the results previewer.\n '<|docstring|>Get a results previewer from the index.
Parameters:
results_previewer_id: The id of the results previewer.<|endoftext|> |
75be601709daf9c4ab49562dc9aa25690d7c5f6925bff988967df38f241f4f8c | @api('POST/results_previewers')
def add_results_previewer(self, *, results_previewer: ResultsPreviewer) -> None:
'Add a results previewer to the index.\n\n Parameters:\n results_previewer: The new results previewer.\n ' | Add a results previewer to the index.
Parameters:
results_previewer: The new results previewer. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | add_results_previewer | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('POST/results_previewers')
def add_results_previewer(self, *, results_previewer: ResultsPreviewer) -> None:
'Add a results previewer to the index.\n\n Parameters:\n results_previewer: The new results previewer.\n ' | @api('POST/results_previewers')
def add_results_previewer(self, *, results_previewer: ResultsPreviewer) -> None:
'Add a results previewer to the index.\n\n Parameters:\n results_previewer: The new results previewer.\n '<|docstring|>Add a results previewer to the index.
Parameters:
results_previewer: The new results previewer.<|endoftext|> |
f3536f9c1f26eda944e57b9f852b86080d69edce9a5ea6fc8f771a021f5479bd | @api('PUT/results_previewers/{results_previewer_id}', results_previewer_id='ResultsPreviewerID')
def update_results_previewer(self, *, results_previewer_id: int, results_previewer: ResultsPreviewer) -> None:
'Update a results previewer in the index.\n\n Parameters:\n results_previewer_id: The id of the results previewer.\n results_previewer: The updated results previewer.\n ' | Update a results previewer in the index.
Parameters:
results_previewer_id: The id of the results previewer.
results_previewer: The updated results previewer. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_results_previewer | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/results_previewers/{results_previewer_id}', results_previewer_id='ResultsPreviewerID')
def update_results_previewer(self, *, results_previewer_id: int, results_previewer: ResultsPreviewer) -> None:
'Update a results previewer in the index.\n\n Parameters:\n results_previewer_id: The id of the results previewer.\n results_previewer: The updated results previewer.\n ' | @api('PUT/results_previewers/{results_previewer_id}', results_previewer_id='ResultsPreviewerID')
def update_results_previewer(self, *, results_previewer_id: int, results_previewer: ResultsPreviewer) -> None:
'Update a results previewer in the index.\n\n Parameters:\n results_previewer_id: The id of the results previewer.\n results_previewer: The updated results previewer.\n '<|docstring|>Update a results previewer in the index.
Parameters:
results_previewer_id: The id of the results previewer.
results_previewer: The updated results previewer.<|endoftext|> |
5da87fb372f93b0158fc0e864cb592405dbe08f19d28058daff2a313541b7e5f | @api('DELETE/results_previewers/{results_previewer_id}', results_previewer_id='ResultsPreviewerID')
def delete_results_previewer(self, *, results_previewer_id: int) -> None:
'Delete a results previewer from the index.\n\n Parameters:\n results_previewer_id: The id of the results previewer.\n ' | Delete a results previewer from the index.
Parameters:
results_previewer_id: The id of the results previewer. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_results_previewer | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/results_previewers/{results_previewer_id}', results_previewer_id='ResultsPreviewerID')
def delete_results_previewer(self, *, results_previewer_id: int) -> None:
'Delete a results previewer from the index.\n\n Parameters:\n results_previewer_id: The id of the results previewer.\n ' | @api('DELETE/results_previewers/{results_previewer_id}', results_previewer_id='ResultsPreviewerID')
def delete_results_previewer(self, *, results_previewer_id: int) -> None:
'Delete a results previewer from the index.\n\n Parameters:\n results_previewer_id: The id of the results previewer.\n '<|docstring|>Delete a results previewer from the index.
Parameters:
results_previewer_id: The id of the results previewer.<|endoftext|> |
43fbfe547d1dc112696ec0f011a7d47bfbeb87a7e5c9ad646ec8654271e758f2 | @api('GET/tag_fields')
def get_tag_fields(self) -> List[TagField]:
'Get all the tag fields in the index.' | Get all the tag fields in the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_tag_fields | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/tag_fields')
def get_tag_fields(self) -> List[TagField]:
| @api('GET/tag_fields')
def get_tag_fields(self) -> List[TagField]:
<|docstring|>Get all the tag fields in the index.<|endoftext|> |
d05a0669d0c7eef06d21313d13d7906caa04b065b4f5195cbc6c45b1588490ad | @api('GET/tag_fields/{tag_field_id}', tag_field_id='TagFieldID')
def get_tag_field(self, *, tag_field_id: int) -> TagField:
'Get a tag field from the index.\n\n Parameters:\n tag_field_id: The id of the tag field.\n ' | Get a tag field from the index.
Parameters:
tag_field_id: The id of the tag field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_tag_field | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/tag_fields/{tag_field_id}', tag_field_id='TagFieldID')
def get_tag_field(self, *, tag_field_id: int) -> TagField:
'Get a tag field from the index.\n\n Parameters:\n tag_field_id: The id of the tag field.\n ' | @api('GET/tag_fields/{tag_field_id}', tag_field_id='TagFieldID')
def get_tag_field(self, *, tag_field_id: int) -> TagField:
'Get a tag field from the index.\n\n Parameters:\n tag_field_id: The id of the tag field.\n '<|docstring|>Get a tag field from the index.
Parameters:
tag_field_id: The id of the tag field.<|endoftext|> |
03a2f14cbba59b5818fa4d0e20b0d27e045653de00f059088aea5b383806e05b | @api('POST/tag_fields')
def add_tag_field(self, *, tag_field: TagField) -> None:
'Add a tag field to the index.\n\n Parameters:\n tag_field: The new tag field.\n ' | Add a tag field to the index.
Parameters:
tag_field: The new tag field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | add_tag_field | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('POST/tag_fields')
def add_tag_field(self, *, tag_field: TagField) -> None:
'Add a tag field to the index.\n\n Parameters:\n tag_field: The new tag field.\n ' | @api('POST/tag_fields')
def add_tag_field(self, *, tag_field: TagField) -> None:
'Add a tag field to the index.\n\n Parameters:\n tag_field: The new tag field.\n '<|docstring|>Add a tag field to the index.
Parameters:
tag_field: The new tag field.<|endoftext|> |
9d3f5f8a9f79fa7d219b2437fb160199443ecda23308e446287a01eb69651af5 | @api('PUT/tag_fields/{tag_field_id}', tag_field_id='TagFieldID')
def update_tag_field(self, *, tag_field_id: int, tag_field: TagField) -> None:
'Update a tag field in the index.\n\n Parameters:\n tag_field_id: The id of the tag field.\n tag_field: The updated tag field.\n ' | Update a tag field in the index.
Parameters:
tag_field_id: The id of the tag field.
tag_field: The updated tag field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_tag_field | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/tag_fields/{tag_field_id}', tag_field_id='TagFieldID')
def update_tag_field(self, *, tag_field_id: int, tag_field: TagField) -> None:
'Update a tag field in the index.\n\n Parameters:\n tag_field_id: The id of the tag field.\n tag_field: The updated tag field.\n ' | @api('PUT/tag_fields/{tag_field_id}', tag_field_id='TagFieldID')
def update_tag_field(self, *, tag_field_id: int, tag_field: TagField) -> None:
'Update a tag field in the index.\n\n Parameters:\n tag_field_id: The id of the tag field.\n tag_field: The updated tag field.\n '<|docstring|>Update a tag field in the index.
Parameters:
tag_field_id: The id of the tag field.
tag_field: The updated tag field.<|endoftext|> |
7e67fff1e834d791e6b05c15ad8a1ebc1c8eb089960612c3632af7c88f40dc19 | @api('DELETE/tag_fields/{tag_field_id}', tag_field_id='TagFieldID')
def delete_tag_field(self, *, tag_field_id: int) -> None:
'Delete a tag field from the index.\n\n Parameters:\n tag_field_id: The id of the tag field.\n ' | Delete a tag field from the index.
Parameters:
tag_field_id: The id of the tag field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_tag_field | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/tag_fields/{tag_field_id}', tag_field_id='TagFieldID')
def delete_tag_field(self, *, tag_field_id: int) -> None:
'Delete a tag field from the index.\n\n Parameters:\n tag_field_id: The id of the tag field.\n ' | @api('DELETE/tag_fields/{tag_field_id}', tag_field_id='TagFieldID')
def delete_tag_field(self, *, tag_field_id: int) -> None:
'Delete a tag field from the index.\n\n Parameters:\n tag_field_id: The id of the tag field.\n '<|docstring|>Delete a tag field from the index.
Parameters:
tag_field_id: The id of the tag field.<|endoftext|> |
542e47f53baa43d256b2967905e2ee78b9460b02f0fa6513d9366fe295d430df | @api('GET/collaborative_ranking')
def get_collaborative_ranking(self) -> CollaborativeRanking:
'Get collaborative ranking configuration for the index.' | Get collaborative ranking configuration for the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_collaborative_ranking | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/collaborative_ranking')
def get_collaborative_ranking(self) -> CollaborativeRanking:
| @api('GET/collaborative_ranking')
def get_collaborative_ranking(self) -> CollaborativeRanking:
<|docstring|>Get collaborative ranking configuration for the index.<|endoftext|> |
19e97ffadc9b98f1a16c9bee5559be5bd2cbbe0584e803320d8e4965570cb63c | @api('PUT/collaborative_ranking')
def update_collaborative_ranking(self, *, collaborative_ranking: CollaborativeRanking) -> None:
'Update collaborative ranking configuration in the index.\n\n Parameters:\n collaborative_ranking: The updated configuration for collaborative ranking.\n ' | Update collaborative ranking configuration in the index.
Parameters:
collaborative_ranking: The updated configuration for collaborative ranking. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_collaborative_ranking | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/collaborative_ranking')
def update_collaborative_ranking(self, *, collaborative_ranking: CollaborativeRanking) -> None:
'Update collaborative ranking configuration in the index.\n\n Parameters:\n collaborative_ranking: The updated configuration for collaborative ranking.\n ' | @api('PUT/collaborative_ranking')
def update_collaborative_ranking(self, *, collaborative_ranking: CollaborativeRanking) -> None:
'Update collaborative ranking configuration in the index.\n\n Parameters:\n collaborative_ranking: The updated configuration for collaborative ranking.\n '<|docstring|>Update collaborative ranking configuration in the index.
Parameters:
collaborative_ranking: The updated configuration for collaborative ranking.<|endoftext|> |
493ea4a88c99b7387858712ef52341fb04752529d9ceae11b4bdc2310344347c | @api('GET/physical_index')
def get_physical_index(self) -> PhysicalIndex:
'Get physical index configuration for the index.' | Get physical index configuration for the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_physical_index | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/physical_index')
def get_physical_index(self) -> PhysicalIndex:
| @api('GET/physical_index')
def get_physical_index(self) -> PhysicalIndex:
<|docstring|>Get physical index configuration for the index.<|endoftext|> |
48ee9a26882177af242abbd505514dc386e9147baaec2d6ce481b30839efb543 | @api('PUT/physical_index')
def update_physical_index(self, *, physical_index: PhysicalIndex) -> None:
'Update physical index configuration in the index.\n\n Parameters:\n physical_index: The updated configuration for physical index.\n ' | Update physical index configuration in the index.
Parameters:
physical_index: The updated configuration for physical index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_physical_index | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/physical_index')
def update_physical_index(self, *, physical_index: PhysicalIndex) -> None:
'Update physical index configuration in the index.\n\n Parameters:\n physical_index: The updated configuration for physical index.\n ' | @api('PUT/physical_index')
def update_physical_index(self, *, physical_index: PhysicalIndex) -> None:
'Update physical index configuration in the index.\n\n Parameters:\n physical_index: The updated configuration for physical index.\n '<|docstring|>Update physical index configuration in the index.
Parameters:
physical_index: The updated configuration for physical index.<|endoftext|> |
2e49d213d26175cf71ebf794ccd4820e6b3e897594e8adc7d7f701dd49b8cabd | @api('GET/search_certificates')
def get_search_certificates(self) -> List[SearchCertificate]:
'Get the search certificates for the index.' | Get the search certificates for the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_search_certificates | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/search_certificates')
def get_search_certificates(self) -> List[SearchCertificate]:
| @api('GET/search_certificates')
def get_search_certificates(self) -> List[SearchCertificate]:
<|docstring|>Get the search certificates for the index.<|endoftext|> |
266f69f4b146a7c9b2b4f887a1414003ff638d03804f316fdc29ee95b0c422f5 | @api('GET/search_certificates/{search_certificate_id}', search_certificate_id='SearchCertificateID')
def get_search_certificate(self, *, search_certificate_id: int) -> SearchCertificate:
'Get a search certificate from the index.\n\n Parameters:\n search_certificate_id: The id of the search certificate.\n ' | Get a search certificate from the index.
Parameters:
search_certificate_id: The id of the search certificate. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_search_certificate | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/search_certificates/{search_certificate_id}', search_certificate_id='SearchCertificateID')
def get_search_certificate(self, *, search_certificate_id: int) -> SearchCertificate:
'Get a search certificate from the index.\n\n Parameters:\n search_certificate_id: The id of the search certificate.\n ' | @api('GET/search_certificates/{search_certificate_id}', search_certificate_id='SearchCertificateID')
def get_search_certificate(self, *, search_certificate_id: int) -> SearchCertificate:
'Get a search certificate from the index.\n\n Parameters:\n search_certificate_id: The id of the search certificate.\n '<|docstring|>Get a search certificate from the index.
Parameters:
search_certificate_id: The id of the search certificate.<|endoftext|> |
d3e68a2f50c0fa78a5075a03d57039257cb1f073f67c045837527d41963c05e5 | @api('POST/search_certificates')
def add_search_certificate(self, *, search_certificate: SearchCertificate) -> None:
'Add a new search certificate to the index.\n\n Parameters:\n search_certificate: The new search certificate\n ' | Add a new search certificate to the index.
Parameters:
search_certificate: The new search certificate | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | add_search_certificate | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('POST/search_certificates')
def add_search_certificate(self, *, search_certificate: SearchCertificate) -> None:
'Add a new search certificate to the index.\n\n Parameters:\n search_certificate: The new search certificate\n ' | @api('POST/search_certificates')
def add_search_certificate(self, *, search_certificate: SearchCertificate) -> None:
'Add a new search certificate to the index.\n\n Parameters:\n search_certificate: The new search certificate\n '<|docstring|>Add a new search certificate to the index.
Parameters:
search_certificate: The new search certificate<|endoftext|> |
f23a46cc6a3ee56844f05f00f5d194f8a304b177a7931bb7388c36b261a6a8fd | @api('PUT/search_certificates/{search_certificate_id}', search_certificate_id='SearchCertificateID')
def update_search_certificate(self, *, search_certificate_id: int, search_certificate: SearchCertificate) -> None:
'Update a search certificate in the index.\n\n Parameters:\n search_certificate_id: The id of the search certificate.\n search_certificate: The updated search certificate.\n ' | Update a search certificate in the index.
Parameters:
search_certificate_id: The id of the search certificate.
search_certificate: The updated search certificate. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_search_certificate | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/search_certificates/{search_certificate_id}', search_certificate_id='SearchCertificateID')
def update_search_certificate(self, *, search_certificate_id: int, search_certificate: SearchCertificate) -> None:
'Update a search certificate in the index.\n\n Parameters:\n search_certificate_id: The id of the search certificate.\n search_certificate: The updated search certificate.\n ' | @api('PUT/search_certificates/{search_certificate_id}', search_certificate_id='SearchCertificateID')
def update_search_certificate(self, *, search_certificate_id: int, search_certificate: SearchCertificate) -> None:
'Update a search certificate in the index.\n\n Parameters:\n search_certificate_id: The id of the search certificate.\n search_certificate: The updated search certificate.\n '<|docstring|>Update a search certificate in the index.
Parameters:
search_certificate_id: The id of the search certificate.
search_certificate: The updated search certificate.<|endoftext|> |
f91b9441a99ac8a44e48d542765d4c20141f72cdd6b01bfc6a313d13a8619d52 | @api('DELETE/search_certificates/{search_certificate_id}', search_certificate_id='SearchCertificateID')
def delete_search_certificate(self, *, search_certificate_id: int) -> None:
'Delete a search certificate from the index.\n\n Parameters:\n search_certificate_id: The id of the search certificate.\n ' | Delete a search certificate from the index.
Parameters:
search_certificate_id: The id of the search certificate. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_search_certificate | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/search_certificates/{search_certificate_id}', search_certificate_id='SearchCertificateID')
def delete_search_certificate(self, *, search_certificate_id: int) -> None:
'Delete a search certificate from the index.\n\n Parameters:\n search_certificate_id: The id of the search certificate.\n ' | @api('DELETE/search_certificates/{search_certificate_id}', search_certificate_id='SearchCertificateID')
def delete_search_certificate(self, *, search_certificate_id: int) -> None:
'Delete a search certificate from the index.\n\n Parameters:\n search_certificate_id: The id of the search certificate.\n '<|docstring|>Delete a search certificate from the index.
Parameters:
search_certificate_id: The id of the search certificate.<|endoftext|> |
b1bb0e54a2d2790a96e2a4ee980d518ad1ea3773414cd166dc274ac08fc002cf | @api('PUT/index')
def set_config(self, *, configuration: IndexerConfig) -> None:
'Set the indexer configuration\n\n Parameters:\n configuration: The new configuration.\n ' | Set the indexer configuration
Parameters:
configuration: The new configuration. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | set_config | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/index')
def set_config(self, *, configuration: IndexerConfig) -> None:
'Set the indexer configuration\n\n Parameters:\n configuration: The new configuration.\n ' | @api('PUT/index')
def set_config(self, *, configuration: IndexerConfig) -> None:
'Set the indexer configuration\n\n Parameters:\n configuration: The new configuration.\n '<|docstring|>Set the indexer configuration
Parameters:
configuration: The new configuration.<|endoftext|> |
06a56e99bdf7b8e1884920071380886593abbc1e143a0de4b7c9cc647ff9b257 | @api('GET/index')
def get_config(self) -> IndexerConfig:
'Get the indexer configuration' | Get the indexer configuration | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_config | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/index')
def get_config(self) -> IndexerConfig:
| @api('GET/index')
def get_config(self) -> IndexerConfig:
<|docstring|>Get the indexer configuration<|endoftext|> |
b2713c8d57d1816909914215707ee954552a7fd0ae7f2bc850973a635588f456 | @api('GET/status')
def get_state(self) -> BladeState:
'Get the state of the index.' | Get the state of the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_state | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/status')
def get_state(self) -> BladeState:
| @api('GET/status')
def get_state(self) -> BladeState:
<|docstring|>Get the state of the index.<|endoftext|> |
a9fda0f50edaba5f88a7c5585a47f468f7344fc6038948ebedd7287d552e46a6 | @api('DELETE/index')
def delete_index_data(self, *, delete_config: bool) -> None:
'Delete all files used by an index node.\n\n Parameters:\n delete_config: True to delete the config folder.\n ' | Delete all files used by an index node.
Parameters:
delete_config: True to delete the config folder. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_index_data | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/index')
def delete_index_data(self, *, delete_config: bool) -> None:
'Delete all files used by an index node.\n\n Parameters:\n delete_config: True to delete the config folder.\n ' | @api('DELETE/index')
def delete_index_data(self, *, delete_config: bool) -> None:
'Delete all files used by an index node.\n\n Parameters:\n delete_config: True to delete the config folder.\n '<|docstring|>Delete all files used by an index node.
Parameters:
delete_config: True to delete the config folder.<|endoftext|> |
8f481aca698acf9e98f222dcbde797a8b95d1471f6483f158db0bf69d4c357e7 | @api('GET/creation_date')
def get_creation_date(self) -> datetime:
"Get the index creation date. Will be set to the source's value on the destination when synchronizing." | Get the index creation date. Will be set to the source's value on the destination when synchronizing. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_creation_date | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/creation_date')
def get_creation_date(self) -> datetime:
| @api('GET/creation_date')
def get_creation_date(self) -> datetime:
<|docstring|>Get the index creation date. Will be set to the source's value on the destination when synchronizing.<|endoftext|> |
c50c84ac6286dbeb265a67c9138bec3f9cdb01fe5d85a24c6aa3c90336423a00 | @api('GET/document_keys')
def get_document_keys(self, *, starting_document_key: str, page_size: int=1000) -> List[str]:
'Gets a list of indexed document keys, starting from the specified position.\n\n Parameters:\n starting_document_key: The key used to specify where to start the document keys listing.\n page_size: The maximum number of document keys to list.\n ' | Gets a list of indexed document keys, starting from the specified position.
Parameters:
starting_document_key: The key used to specify where to start the document keys listing.
page_size: The maximum number of document keys to list. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_document_keys | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/document_keys')
def get_document_keys(self, *, starting_document_key: str, page_size: int=1000) -> List[str]:
'Gets a list of indexed document keys, starting from the specified position.\n\n Parameters:\n starting_document_key: The key used to specify where to start the document keys listing.\n page_size: The maximum number of document keys to list.\n ' | @api('GET/document_keys')
def get_document_keys(self, *, starting_document_key: str, page_size: int=1000) -> List[str]:
'Gets a list of indexed document keys, starting from the specified position.\n\n Parameters:\n starting_document_key: The key used to specify where to start the document keys listing.\n page_size: The maximum number of document keys to list.\n '<|docstring|>Gets a list of indexed document keys, starting from the specified position.
Parameters:
starting_document_key: The key used to specify where to start the document keys listing.
page_size: The maximum number of document keys to list.<|endoftext|> |
a0075d644c793b48dd7fc2501e02eb665f77e46d5bdc5e887b0b422225dde25a | @api('GET/collections')
def get_collections(self) -> List[Collection]:
'Get all the collections in the index.' | Get all the collections in the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_collections | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/collections')
def get_collections(self) -> List[Collection]:
| @api('GET/collections')
def get_collections(self) -> List[Collection]:
<|docstring|>Get all the collections in the index.<|endoftext|> |
ab3f5a3bb036f2dc57b4e38a1b14f651e6beb4f8753f8c72d2c8efd38a664237 | @api('GET/collections/{collection_id}', collection_id='CollectionID')
def get_collection(self, *, collection_id: int) -> Collection:
'Get the config of a collection from the index.\n\n Parameters:\n collection_id: The id of the collection.\n ' | Get the config of a collection from the index.
Parameters:
collection_id: The id of the collection. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_collection | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/collections/{collection_id}', collection_id='CollectionID')
def get_collection(self, *, collection_id: int) -> Collection:
'Get the config of a collection from the index.\n\n Parameters:\n collection_id: The id of the collection.\n ' | @api('GET/collections/{collection_id}', collection_id='CollectionID')
def get_collection(self, *, collection_id: int) -> Collection:
'Get the config of a collection from the index.\n\n Parameters:\n collection_id: The id of the collection.\n '<|docstring|>Get the config of a collection from the index.
Parameters:
collection_id: The id of the collection.<|endoftext|> |
5df2eb1f381e9d3a85795997ba57f717ef66144fe21b1d119016255595752010 | @api('PUT/collections')
def set_collections(self, *, collections: List[Collection]) -> None:
'Set the collections in the index.\n\n Parameters:\n collections: The collections for the index.\n ' | Set the collections in the index.
Parameters:
collections: The collections for the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | set_collections | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/collections')
def set_collections(self, *, collections: List[Collection]) -> None:
'Set the collections in the index.\n\n Parameters:\n collections: The collections for the index.\n ' | @api('PUT/collections')
def set_collections(self, *, collections: List[Collection]) -> None:
'Set the collections in the index.\n\n Parameters:\n collections: The collections for the index.\n '<|docstring|>Set the collections in the index.
Parameters:
collections: The collections for the index.<|endoftext|> |
0cef5e69ce668bab6906a4c9f09c9da9ae9e67e2510ce8e50592e64c95b64fa4 | @api('POST/collections')
def add_collection(self, *, collection: Collection) -> None:
'Add a collection to the index.\n\n Parameters:\n collection: The configuration for the new collection.\n ' | Add a collection to the index.
Parameters:
collection: The configuration for the new collection. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | add_collection | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('POST/collections')
def add_collection(self, *, collection: Collection) -> None:
'Add a collection to the index.\n\n Parameters:\n collection: The configuration for the new collection.\n ' | @api('POST/collections')
def add_collection(self, *, collection: Collection) -> None:
'Add a collection to the index.\n\n Parameters:\n collection: The configuration for the new collection.\n '<|docstring|>Add a collection to the index.
Parameters:
collection: The configuration for the new collection.<|endoftext|> |
8de4c28e1a58140397d086e2a44efa80df0b4d9fe676fbc7257ac7321649d2ad | @api('PUT/collections/{collection_id}', collection_id='CollectionID')
def update_collection(self, *, collection_id: int, collection: Collection) -> None:
'Update a collection in the index.\n\n Parameters:\n collection_id: The id of the collection.\n collection: The updated configuration for the collection.\n ' | Update a collection in the index.
Parameters:
collection_id: The id of the collection.
collection: The updated configuration for the collection. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_collection | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/collections/{collection_id}', collection_id='CollectionID')
def update_collection(self, *, collection_id: int, collection: Collection) -> None:
'Update a collection in the index.\n\n Parameters:\n collection_id: The id of the collection.\n collection: The updated configuration for the collection.\n ' | @api('PUT/collections/{collection_id}', collection_id='CollectionID')
def update_collection(self, *, collection_id: int, collection: Collection) -> None:
'Update a collection in the index.\n\n Parameters:\n collection_id: The id of the collection.\n collection: The updated configuration for the collection.\n '<|docstring|>Update a collection in the index.
Parameters:
collection_id: The id of the collection.
collection: The updated configuration for the collection.<|endoftext|> |
31db0de7ac83cb72635ef8034b1341274f16396154e9fd2dc9cf5ed319b2c46f | @api('DELETE/collections/{collection_id}', collection_id='CollectionID')
def delete_collection(self, *, collection_id: int) -> None:
'Delete a collection from the index.\n\n Parameters:\n collection_id: The id of the collection.\n ' | Delete a collection from the index.
Parameters:
collection_id: The id of the collection. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_collection | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/collections/{collection_id}', collection_id='CollectionID')
def delete_collection(self, *, collection_id: int) -> None:
'Delete a collection from the index.\n\n Parameters:\n collection_id: The id of the collection.\n ' | @api('DELETE/collections/{collection_id}', collection_id='CollectionID')
def delete_collection(self, *, collection_id: int) -> None:
'Delete a collection from the index.\n\n Parameters:\n collection_id: The id of the collection.\n '<|docstring|>Delete a collection from the index.
Parameters:
collection_id: The id of the collection.<|endoftext|> |
0972129ebfbf016e89d41892844a3726df4cf5ea8271a0025f1d95176120b1c8 | @api('GET/collections/{collection_id}/sources', collection_id='CollectionID')
def get_sources(self, *, collection_id: int) -> List[Source]:
'Get all the sources for a collection.\n\n Parameters:\n collection_id: The id of the parent collection.\n ' | Get all the sources for a collection.
Parameters:
collection_id: The id of the parent collection. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_sources | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/collections/{collection_id}/sources', collection_id='CollectionID')
def get_sources(self, *, collection_id: int) -> List[Source]:
'Get all the sources for a collection.\n\n Parameters:\n collection_id: The id of the parent collection.\n ' | @api('GET/collections/{collection_id}/sources', collection_id='CollectionID')
def get_sources(self, *, collection_id: int) -> List[Source]:
'Get all the sources for a collection.\n\n Parameters:\n collection_id: The id of the parent collection.\n '<|docstring|>Get all the sources for a collection.
Parameters:
collection_id: The id of the parent collection.<|endoftext|> |
50bb8a801c059d6d38e1c277a166fde60c6f36876673220d4f9bfc25a100ec45 | @api('GET/collections/{collection_id}/sources/{source_id}', collection_id='CollectionID', source_id='SourceID')
def get_source(self, *, collection_id: int, source_id: int) -> Source:
'Get the config of a source for a collection.\n\n Parameters:\n collection_id: The id of the parent collection.\n source_id: The id of the source.\n ' | Get the config of a source for a collection.
Parameters:
collection_id: The id of the parent collection.
source_id: The id of the source. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_source | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/collections/{collection_id}/sources/{source_id}', collection_id='CollectionID', source_id='SourceID')
def get_source(self, *, collection_id: int, source_id: int) -> Source:
'Get the config of a source for a collection.\n\n Parameters:\n collection_id: The id of the parent collection.\n source_id: The id of the source.\n ' | @api('GET/collections/{collection_id}/sources/{source_id}', collection_id='CollectionID', source_id='SourceID')
def get_source(self, *, collection_id: int, source_id: int) -> Source:
'Get the config of a source for a collection.\n\n Parameters:\n collection_id: The id of the parent collection.\n source_id: The id of the source.\n '<|docstring|>Get the config of a source for a collection.
Parameters:
collection_id: The id of the parent collection.
source_id: The id of the source.<|endoftext|> |
6297ffdf1ce0f662f3ccbd5de989ea75302f8c75ed6cf6d16fa852027be6f7e3 | @api('PUT/collections/{collection_id}/sources', collection_id='CollectionID')
def set_sources(self, *, collection_id: int, sources: List[Source]) -> None:
'Set the sources for a collection in the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n sources: The sources for the collection in the index.\n ' | Set the sources for a collection in the index.
Parameters:
collection_id: The id of the parent collection.
sources: The sources for the collection in the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | set_sources | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/collections/{collection_id}/sources', collection_id='CollectionID')
def set_sources(self, *, collection_id: int, sources: List[Source]) -> None:
'Set the sources for a collection in the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n sources: The sources for the collection in the index.\n ' | @api('PUT/collections/{collection_id}/sources', collection_id='CollectionID')
def set_sources(self, *, collection_id: int, sources: List[Source]) -> None:
'Set the sources for a collection in the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n sources: The sources for the collection in the index.\n '<|docstring|>Set the sources for a collection in the index.
Parameters:
collection_id: The id of the parent collection.
sources: The sources for the collection in the index.<|endoftext|> |
7374b5899a2360e56faeb7810edeee1156a51bb977827924e3be5d80c5d8bcb7 | @api('POST/collections/{collection_id}/sources', collection_id='CollectionID')
def add_source(self, *, collection_id: int, source: Source) -> None:
'Add a source to the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n source: The configuration for the new source.\n ' | Add a source to the index.
Parameters:
collection_id: The id of the parent collection.
source: The configuration for the new source. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | add_source | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('POST/collections/{collection_id}/sources', collection_id='CollectionID')
def add_source(self, *, collection_id: int, source: Source) -> None:
'Add a source to the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n source: The configuration for the new source.\n ' | @api('POST/collections/{collection_id}/sources', collection_id='CollectionID')
def add_source(self, *, collection_id: int, source: Source) -> None:
'Add a source to the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n source: The configuration for the new source.\n '<|docstring|>Add a source to the index.
Parameters:
collection_id: The id of the parent collection.
source: The configuration for the new source.<|endoftext|> |
412dbe04cbe2cf53208184c926a8dabaf52e6b0d362cc69522062db6b65218ca | @api('PUT/collections/{collection_id}/sources/{source_id}', collection_id='CollectionID', source_id='SourceID')
def update_source(self, *, collection_id: int, source_id: int, source: Source) -> None:
'Update a source in the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n source_id: The id of the source.\n source: The updated configuration for the source.\n ' | Update a source in the index.
Parameters:
collection_id: The id of the parent collection.
source_id: The id of the source.
source: The updated configuration for the source. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_source | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/collections/{collection_id}/sources/{source_id}', collection_id='CollectionID', source_id='SourceID')
def update_source(self, *, collection_id: int, source_id: int, source: Source) -> None:
'Update a source in the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n source_id: The id of the source.\n source: The updated configuration for the source.\n ' | @api('PUT/collections/{collection_id}/sources/{source_id}', collection_id='CollectionID', source_id='SourceID')
def update_source(self, *, collection_id: int, source_id: int, source: Source) -> None:
'Update a source in the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n source_id: The id of the source.\n source: The updated configuration for the source.\n '<|docstring|>Update a source in the index.
Parameters:
collection_id: The id of the parent collection.
source_id: The id of the source.
source: The updated configuration for the source.<|endoftext|> |
738a09473d709212c9fb17b1a820f25eff4099da4257e5282f2d8a0d10daf536 | @api('DELETE/collections/{collection_id}/sources/{source_id}', collection_id='CollectionID', source_id='SourceID')
def delete_source(self, *, collection_id: int, source_id: int) -> None:
'Delete a source contained in the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n source_id: The id of the source.\n ' | Delete a source contained in the index.
Parameters:
collection_id: The id of the parent collection.
source_id: The id of the source. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_source | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/collections/{collection_id}/sources/{source_id}', collection_id='CollectionID', source_id='SourceID')
def delete_source(self, *, collection_id: int, source_id: int) -> None:
'Delete a source contained in the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n source_id: The id of the source.\n ' | @api('DELETE/collections/{collection_id}/sources/{source_id}', collection_id='CollectionID', source_id='SourceID')
def delete_source(self, *, collection_id: int, source_id: int) -> None:
'Delete a source contained in the index.\n\n Parameters:\n collection_id: The id of the parent collection.\n source_id: The id of the source.\n '<|docstring|>Delete a source contained in the index.
Parameters:
collection_id: The id of the parent collection.
source_id: The id of the source.<|endoftext|> |
1e424ced2a100eb019f199941b3a16492254280f25d310460402aecb91cef829 | @api('GET/fields')
def get_fields(self) -> List[Field]:
'Get all fields in the index.' | Get all fields in the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_fields | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/fields')
def get_fields(self) -> List[Field]:
| @api('GET/fields')
def get_fields(self) -> List[Field]:
<|docstring|>Get all fields in the index.<|endoftext|> |
84547afaf29b05afa2fa597b3003c74dc7146f611915996147a279e864887653 | @api('PUT/fields/id')
def set_fields_by_id(self, *, fields: List[Field]) -> None:
'Set the fields in the index.\n\n Parameters:\n fields: The fields for the index.\n ' | Set the fields in the index.
Parameters:
fields: The fields for the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | set_fields_by_id | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/fields/id')
def set_fields_by_id(self, *, fields: List[Field]) -> None:
'Set the fields in the index.\n\n Parameters:\n fields: The fields for the index.\n ' | @api('PUT/fields/id')
def set_fields_by_id(self, *, fields: List[Field]) -> None:
'Set the fields in the index.\n\n Parameters:\n fields: The fields for the index.\n '<|docstring|>Set the fields in the index.
Parameters:
fields: The fields for the index.<|endoftext|> |
357a31e5068f21e4d9bb6d000c73859028851aa778187b366e3e36def557803d | @api('PUT/fields/name')
def set_fields_by_name(self, *, fields: List[Field]) -> None:
'Set the fields in the index.\n\n Parameters:\n fields: The fields for the index.\n ' | Set the fields in the index.
Parameters:
fields: The fields for the index. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | set_fields_by_name | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/fields/name')
def set_fields_by_name(self, *, fields: List[Field]) -> None:
'Set the fields in the index.\n\n Parameters:\n fields: The fields for the index.\n ' | @api('PUT/fields/name')
def set_fields_by_name(self, *, fields: List[Field]) -> None:
'Set the fields in the index.\n\n Parameters:\n fields: The fields for the index.\n '<|docstring|>Set the fields in the index.
Parameters:
fields: The fields for the index.<|endoftext|> |
41ee576faed5ed9f2e90addc367f70c7efed69a13f38f585f1b1be16fb08dfee | @api('GET/fields/id/{field_id}', field_id='FieldID')
def get_field_by_id(self, *, field_id: int) -> Field:
'Get the config of a field from the index.\n\n Parameters:\n field_id: The id of the field.\n ' | Get the config of a field from the index.
Parameters:
field_id: The id of the field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_field_by_id | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/fields/id/{field_id}', field_id='FieldID')
def get_field_by_id(self, *, field_id: int) -> Field:
'Get the config of a field from the index.\n\n Parameters:\n field_id: The id of the field.\n ' | @api('GET/fields/id/{field_id}', field_id='FieldID')
def get_field_by_id(self, *, field_id: int) -> Field:
'Get the config of a field from the index.\n\n Parameters:\n field_id: The id of the field.\n '<|docstring|>Get the config of a field from the index.
Parameters:
field_id: The id of the field.<|endoftext|> |
c57d3b970b2a37e98e67127f6fc64abf9cbc5a65ecc08f3aa20c3d558efd9542 | @api('GET/fields/name/{field_name}')
def get_field_by_name(self, *, field_name: str) -> Field:
'Get the config of a field from the index.\n\n Parameters:\n field_name: The name of the field.\n ' | Get the config of a field from the index.
Parameters:
field_name: The name of the field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_field_by_name | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/fields/name/{field_name}')
def get_field_by_name(self, *, field_name: str) -> Field:
'Get the config of a field from the index.\n\n Parameters:\n field_name: The name of the field.\n ' | @api('GET/fields/name/{field_name}')
def get_field_by_name(self, *, field_name: str) -> Field:
'Get the config of a field from the index.\n\n Parameters:\n field_name: The name of the field.\n '<|docstring|>Get the config of a field from the index.
Parameters:
field_name: The name of the field.<|endoftext|> |
d0f1d8ba0497e1d6a216472e07fd3bb3ffba5eb60dac9f1794da4aca0763b619 | @api('POST/fields/batch')
def add_fields(self, *, fields: List[Field]) -> None:
'Add a batch of fields to the index.\n\n Parameters:\n fields: The configurations for the new fields.\n ' | Add a batch of fields to the index.
Parameters:
fields: The configurations for the new fields. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | add_fields | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('POST/fields/batch')
def add_fields(self, *, fields: List[Field]) -> None:
'Add a batch of fields to the index.\n\n Parameters:\n fields: The configurations for the new fields.\n ' | @api('POST/fields/batch')
def add_fields(self, *, fields: List[Field]) -> None:
'Add a batch of fields to the index.\n\n Parameters:\n fields: The configurations for the new fields.\n '<|docstring|>Add a batch of fields to the index.
Parameters:
fields: The configurations for the new fields.<|endoftext|> |
72590eb5e9a49b32a86ade90fbbc65af0e5097fdd80f3bfb45816552aeea310d | @api('PUT/fields/batch/id')
def update_fields_by_id(self, *, fields: List[Field]) -> None:
'Update a batch fields in the index.\n\n Parameters:\n fields: The updated configurations for the fields.\n ' | Update a batch fields in the index.
Parameters:
fields: The updated configurations for the fields. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_fields_by_id | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/fields/batch/id')
def update_fields_by_id(self, *, fields: List[Field]) -> None:
'Update a batch fields in the index.\n\n Parameters:\n fields: The updated configurations for the fields.\n ' | @api('PUT/fields/batch/id')
def update_fields_by_id(self, *, fields: List[Field]) -> None:
'Update a batch fields in the index.\n\n Parameters:\n fields: The updated configurations for the fields.\n '<|docstring|>Update a batch fields in the index.
Parameters:
fields: The updated configurations for the fields.<|endoftext|> |
bf75f6dec608893393704493b5f2c60c6a029eac5a1d2c550c346a3e1becc970 | @api('PUT/fields/batch/name')
def update_fields_by_name(self, *, fields: List[Field]) -> None:
'Update a batch of fields in the index.\n\n Parameters:\n fields: The updated configurations for the fields.\n ' | Update a batch of fields in the index.
Parameters:
fields: The updated configurations for the fields. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_fields_by_name | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/fields/batch/name')
def update_fields_by_name(self, *, fields: List[Field]) -> None:
'Update a batch of fields in the index.\n\n Parameters:\n fields: The updated configurations for the fields.\n ' | @api('PUT/fields/batch/name')
def update_fields_by_name(self, *, fields: List[Field]) -> None:
'Update a batch of fields in the index.\n\n Parameters:\n fields: The updated configurations for the fields.\n '<|docstring|>Update a batch of fields in the index.
Parameters:
fields: The updated configurations for the fields.<|endoftext|> |
c065c66f7fcc20e98d242c312036ca9362d9810948d58644565b32049f431f20 | @api('DELETE/fields/batch/id', field_ids='FieldIDs')
def delete_fields_by_id(self, *, field_ids: List[int]) -> None:
'Delete a batch of field contained in the index.\n\n Parameters:\n field_ids: The ids of the fields.\n ' | Delete a batch of field contained in the index.
Parameters:
field_ids: The ids of the fields. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_fields_by_id | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/fields/batch/id', field_ids='FieldIDs')
def delete_fields_by_id(self, *, field_ids: List[int]) -> None:
'Delete a batch of field contained in the index.\n\n Parameters:\n field_ids: The ids of the fields.\n ' | @api('DELETE/fields/batch/id', field_ids='FieldIDs')
def delete_fields_by_id(self, *, field_ids: List[int]) -> None:
'Delete a batch of field contained in the index.\n\n Parameters:\n field_ids: The ids of the fields.\n '<|docstring|>Delete a batch of field contained in the index.
Parameters:
field_ids: The ids of the fields.<|endoftext|> |
28582ed697ae59c6fb95ce4b244a74954115cccf2007133fa168c61af0780e6f | @api('DELETE/fields/batch/name')
def delete_fields_by_name(self, *, field_names: List[str]) -> None:
'Delete a batch of fields contained in the index.\n\n Parameters:\n field_names: The names of the fields.\n ' | Delete a batch of fields contained in the index.
Parameters:
field_names: The names of the fields. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_fields_by_name | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/fields/batch/name')
def delete_fields_by_name(self, *, field_names: List[str]) -> None:
'Delete a batch of fields contained in the index.\n\n Parameters:\n field_names: The names of the fields.\n ' | @api('DELETE/fields/batch/name')
def delete_fields_by_name(self, *, field_names: List[str]) -> None:
'Delete a batch of fields contained in the index.\n\n Parameters:\n field_names: The names of the fields.\n '<|docstring|>Delete a batch of fields contained in the index.
Parameters:
field_names: The names of the fields.<|endoftext|> |
e523b218badd9deb253d51a3c76b31bf21eeb29c7a42b40388d5d4533744e283 | @api('POST/fields')
def add_field(self, *, field: Field) -> None:
'Add a field to the index.\n\n Parameters:\n field: The configuration for the new field.\n ' | Add a field to the index.
Parameters:
field: The configuration for the new field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | add_field | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('POST/fields')
def add_field(self, *, field: Field) -> None:
'Add a field to the index.\n\n Parameters:\n field: The configuration for the new field.\n ' | @api('POST/fields')
def add_field(self, *, field: Field) -> None:
'Add a field to the index.\n\n Parameters:\n field: The configuration for the new field.\n '<|docstring|>Add a field to the index.
Parameters:
field: The configuration for the new field.<|endoftext|> |
9cf9cf1e88730fa87b5d4d7051f7d5ecd57c08bfc1def92bd866841a70f9bef1 | @api('PUT/fields/id/{field_id}', field_id='FieldID')
def update_field_by_id(self, *, field_id: int, field: Field) -> None:
'Update a field in the index.\n\n Parameters:\n field_id: The id of the field.\n field: The updated configuration for the field.\n ' | Update a field in the index.
Parameters:
field_id: The id of the field.
field: The updated configuration for the field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_field_by_id | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/fields/id/{field_id}', field_id='FieldID')
def update_field_by_id(self, *, field_id: int, field: Field) -> None:
'Update a field in the index.\n\n Parameters:\n field_id: The id of the field.\n field: The updated configuration for the field.\n ' | @api('PUT/fields/id/{field_id}', field_id='FieldID')
def update_field_by_id(self, *, field_id: int, field: Field) -> None:
'Update a field in the index.\n\n Parameters:\n field_id: The id of the field.\n field: The updated configuration for the field.\n '<|docstring|>Update a field in the index.
Parameters:
field_id: The id of the field.
field: The updated configuration for the field.<|endoftext|> |
3e57a6b0423d70bcefb97586c0b857880483d3a2e0b3ba202fdd18384ad93fbf | @api('PUT/fields/name/{field_name}')
def update_field_by_name(self, *, field_name: str, field: Field) -> None:
'Update a field in the index.\n\n Parameters:\n field_name: The name of the field.\n field: The updated configuration for the field.\n ' | Update a field in the index.
Parameters:
field_name: The name of the field.
field: The updated configuration for the field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | update_field_by_name | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/fields/name/{field_name}')
def update_field_by_name(self, *, field_name: str, field: Field) -> None:
'Update a field in the index.\n\n Parameters:\n field_name: The name of the field.\n field: The updated configuration for the field.\n ' | @api('PUT/fields/name/{field_name}')
def update_field_by_name(self, *, field_name: str, field: Field) -> None:
'Update a field in the index.\n\n Parameters:\n field_name: The name of the field.\n field: The updated configuration for the field.\n '<|docstring|>Update a field in the index.
Parameters:
field_name: The name of the field.
field: The updated configuration for the field.<|endoftext|> |
2f0426c400292aec6c6c3c7e23b9f128ebddd14865d462e446553194b95ac2ae | @api('DELETE/fields/id/{field_id}', field_id='FieldID')
def delete_field_by_id(self, *, field_id: int) -> None:
'Delete a field contained in the index.\n\n Parameters:\n field_id: The id of the field.\n ' | Delete a field contained in the index.
Parameters:
field_id: The id of the field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_field_by_id | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/fields/id/{field_id}', field_id='FieldID')
def delete_field_by_id(self, *, field_id: int) -> None:
'Delete a field contained in the index.\n\n Parameters:\n field_id: The id of the field.\n ' | @api('DELETE/fields/id/{field_id}', field_id='FieldID')
def delete_field_by_id(self, *, field_id: int) -> None:
'Delete a field contained in the index.\n\n Parameters:\n field_id: The id of the field.\n '<|docstring|>Delete a field contained in the index.
Parameters:
field_id: The id of the field.<|endoftext|> |
dd4745e0efb0cdae2adf20e8d95285d44372b25a42e5eae2e1135e7941fbd72d | @api('DELETE/fields/name/{field_name}')
def delete_field_by_name(self, *, field_name: str) -> None:
'Delete a field contained in the index.\n\n Parameters:\n field_name: The name of the field.\n ' | Delete a field contained in the index.
Parameters:
field_name: The name of the field. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | delete_field_by_name | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('DELETE/fields/name/{field_name}')
def delete_field_by_name(self, *, field_name: str) -> None:
'Delete a field contained in the index.\n\n Parameters:\n field_name: The name of the field.\n ' | @api('DELETE/fields/name/{field_name}')
def delete_field_by_name(self, *, field_name: str) -> None:
'Delete a field contained in the index.\n\n Parameters:\n field_name: The name of the field.\n '<|docstring|>Delete a field contained in the index.
Parameters:
field_name: The name of the field.<|endoftext|> |
3228c77cea821873967feddb4bc999fb5210d9dad6d01a83fcb75d5a6289965d | @api('PUT/elasticsearch')
def set_elastic_search_config(self, *, configuration: ElasticSearchConfig) -> None:
'Set the elasticsearch configuration\n\n Parameters:\n configuration: The new configuration.\n ' | Set the elasticsearch configuration
Parameters:
configuration: The new configuration. | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | set_elastic_search_config | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('PUT/elasticsearch')
def set_elastic_search_config(self, *, configuration: ElasticSearchConfig) -> None:
'Set the elasticsearch configuration\n\n Parameters:\n configuration: The new configuration.\n ' | @api('PUT/elasticsearch')
def set_elastic_search_config(self, *, configuration: ElasticSearchConfig) -> None:
'Set the elasticsearch configuration\n\n Parameters:\n configuration: The new configuration.\n '<|docstring|>Set the elasticsearch configuration
Parameters:
configuration: The new configuration.<|endoftext|> |
ac27ef9275c1bbe06ba6b51bd217063352f552d7de09158449eea9e2475664ee | @api('GET/elasticsearch')
def get_elastic_search_config(self) -> ElasticSearchConfig:
'Get the elasticsearch configuration' | Get the elasticsearch configuration | generators/simple/templates/src/platform/extensionRunner/cdf/index_service.py | get_elastic_search_config | jfallaire/generator-ps-boilerplate-project | 2 | python | @api('GET/elasticsearch')
def get_elastic_search_config(self) -> ElasticSearchConfig:
| @api('GET/elasticsearch')
def get_elastic_search_config(self) -> ElasticSearchConfig:
<|docstring|>Get the elasticsearch configuration<|endoftext|> |
5a0709a8264d3dd9cec915677e6bb97bfd7a30bcde65ae833d706d9022f3f99c | def __init__(self, user_id_min=None, user_id_max=None, excluding_list=(), *args, **kwargs):
'\n Initalize spider\n :param user_id_min: passed in user_id_min\n :param user_id_max: passed in user_id_max\n :param args:\n :param kwargs:\n '
super(RecordSpider, self).__init__(*args, **kwargs)
if hasattr(self, 'userlist'):
userlist = []
with open(self.userlist, 'r') as fr:
while True:
l = fr.readline().strip()
if (not l):
break
userlist.append(l)
self.start_urls = [('https://bgm.tv/user/' + i) for i in userlist]
logger.info('Starting scarping in user list %s ...', userlist[:3])
else:
if ((user_id_min is not None) and (user_id_max is not None)):
self.id_min = user_id_min
self.id_max = user_id_max
else:
if (not hasattr(self, 'id_max')):
self.id_max = 500000
if (not hasattr(self, 'id_min')):
self.id_min = 1
self.start_urls = [('https://bgm.tv/user/' + str(i)) for i in range(int(self.id_min), int(self.id_max)) if (i not in excluding_list)]
logger.info('Starting scarping in user id range (%s, %s)', self.id_min, self.id_max) | Initalize spider
:param user_id_min: passed in user_id_min
:param user_id_max: passed in user_id_max
:param args:
:param kwargs: | pipeline/record/bgm/spiders/spider.py | __init__ | FlyGoat/BangumiN | 56 | python | def __init__(self, user_id_min=None, user_id_max=None, excluding_list=(), *args, **kwargs):
'\n Initalize spider\n :param user_id_min: passed in user_id_min\n :param user_id_max: passed in user_id_max\n :param args:\n :param kwargs:\n '
super(RecordSpider, self).__init__(*args, **kwargs)
if hasattr(self, 'userlist'):
userlist = []
with open(self.userlist, 'r') as fr:
while True:
l = fr.readline().strip()
if (not l):
break
userlist.append(l)
self.start_urls = [('https://bgm.tv/user/' + i) for i in userlist]
logger.info('Starting scarping in user list %s ...', userlist[:3])
else:
if ((user_id_min is not None) and (user_id_max is not None)):
self.id_min = user_id_min
self.id_max = user_id_max
else:
if (not hasattr(self, 'id_max')):
self.id_max = 500000
if (not hasattr(self, 'id_min')):
self.id_min = 1
self.start_urls = [('https://bgm.tv/user/' + str(i)) for i in range(int(self.id_min), int(self.id_max)) if (i not in excluding_list)]
logger.info('Starting scarping in user id range (%s, %s)', self.id_min, self.id_max) | def __init__(self, user_id_min=None, user_id_max=None, excluding_list=(), *args, **kwargs):
'\n Initalize spider\n :param user_id_min: passed in user_id_min\n :param user_id_max: passed in user_id_max\n :param args:\n :param kwargs:\n '
super(RecordSpider, self).__init__(*args, **kwargs)
if hasattr(self, 'userlist'):
userlist = []
with open(self.userlist, 'r') as fr:
while True:
l = fr.readline().strip()
if (not l):
break
userlist.append(l)
self.start_urls = [('https://bgm.tv/user/' + i) for i in userlist]
logger.info('Starting scarping in user list %s ...', userlist[:3])
else:
if ((user_id_min is not None) and (user_id_max is not None)):
self.id_min = user_id_min
self.id_max = user_id_max
else:
if (not hasattr(self, 'id_max')):
self.id_max = 500000
if (not hasattr(self, 'id_min')):
self.id_min = 1
self.start_urls = [('https://bgm.tv/user/' + str(i)) for i in range(int(self.id_min), int(self.id_max)) if (i not in excluding_list)]
logger.info('Starting scarping in user id range (%s, %s)', self.id_min, self.id_max)<|docstring|>Initalize spider
:param user_id_min: passed in user_id_min
:param user_id_max: passed in user_id_max
:param args:
:param kwargs:<|endoftext|> |
a226f378386528048cda9f6c718179082081b32deffdfa9f4ff8fd5651157edf | def __init__(self, user_id_min=None, user_id_max=None, excluding_list=(), *args, **kwargs):
'\n Initalize spider\n :param user_id_min: passed in user_id_min\n :param user_id_max: passed in user_id_max\n :param args:\n :param kwargs:\n '
super(WikiHistorySpider, self).__init__(*args, **kwargs)
if hasattr(self, 'userlist'):
userlist = []
with open(self.userlist, 'r') as fr:
while True:
l = fr.readline().strip()
if (not l):
break
userlist.append(l)
self.start_urls = [(('https://bgm.tv/user/' + str(i)) + '/wiki') for i in userlist]
logger.info('Starting scarping in user list %s ...', userlist[:3])
else:
if ((user_id_min is not None) and (user_id_max is not None)):
self.id_min = user_id_min
self.id_max = user_id_max
else:
if (not hasattr(self, 'id_max')):
self.id_max = 500000
if (not hasattr(self, 'id_min')):
self.id_min = 1
self.start_urls = [(('https://bgm.tv/user/' + str(i)) + '/wiki') for i in range(int(self.id_min), int(self.id_max)) if (i not in excluding_list)]
logger.info('Starting scarping in user id range (%s, %s)', self.id_min, self.id_max) | Initalize spider
:param user_id_min: passed in user_id_min
:param user_id_max: passed in user_id_max
:param args:
:param kwargs: | pipeline/record/bgm/spiders/spider.py | __init__ | FlyGoat/BangumiN | 56 | python | def __init__(self, user_id_min=None, user_id_max=None, excluding_list=(), *args, **kwargs):
'\n Initalize spider\n :param user_id_min: passed in user_id_min\n :param user_id_max: passed in user_id_max\n :param args:\n :param kwargs:\n '
super(WikiHistorySpider, self).__init__(*args, **kwargs)
if hasattr(self, 'userlist'):
userlist = []
with open(self.userlist, 'r') as fr:
while True:
l = fr.readline().strip()
if (not l):
break
userlist.append(l)
self.start_urls = [(('https://bgm.tv/user/' + str(i)) + '/wiki') for i in userlist]
logger.info('Starting scarping in user list %s ...', userlist[:3])
else:
if ((user_id_min is not None) and (user_id_max is not None)):
self.id_min = user_id_min
self.id_max = user_id_max
else:
if (not hasattr(self, 'id_max')):
self.id_max = 500000
if (not hasattr(self, 'id_min')):
self.id_min = 1
self.start_urls = [(('https://bgm.tv/user/' + str(i)) + '/wiki') for i in range(int(self.id_min), int(self.id_max)) if (i not in excluding_list)]
logger.info('Starting scarping in user id range (%s, %s)', self.id_min, self.id_max) | def __init__(self, user_id_min=None, user_id_max=None, excluding_list=(), *args, **kwargs):
'\n Initalize spider\n :param user_id_min: passed in user_id_min\n :param user_id_max: passed in user_id_max\n :param args:\n :param kwargs:\n '
super(WikiHistorySpider, self).__init__(*args, **kwargs)
if hasattr(self, 'userlist'):
userlist = []
with open(self.userlist, 'r') as fr:
while True:
l = fr.readline().strip()
if (not l):
break
userlist.append(l)
self.start_urls = [(('https://bgm.tv/user/' + str(i)) + '/wiki') for i in userlist]
logger.info('Starting scarping in user list %s ...', userlist[:3])
else:
if ((user_id_min is not None) and (user_id_max is not None)):
self.id_min = user_id_min
self.id_max = user_id_max
else:
if (not hasattr(self, 'id_max')):
self.id_max = 500000
if (not hasattr(self, 'id_min')):
self.id_min = 1
self.start_urls = [(('https://bgm.tv/user/' + str(i)) + '/wiki') for i in range(int(self.id_min), int(self.id_max)) if (i not in excluding_list)]
logger.info('Starting scarping in user id range (%s, %s)', self.id_min, self.id_max)<|docstring|>Initalize spider
:param user_id_min: passed in user_id_min
:param user_id_max: passed in user_id_max
:param args:
:param kwargs:<|endoftext|> |
f1902f73e605749e8f57862d08e777c2756b7f4d833e8a91c5cf8835ab9164eb | @router.get('/', response_model=List[schemas.SystemRequirement])
def get_system_requirements(db: Session=Depends(deps.get_db), skip: int=0, limit: int=100) -> Any:
'\n Retrieve system requirements.\n '
system_requirements = crud.sysreq.get_multi(db, skip=skip, limit=limit)
logger.debug(system_requirements)
return system_requirements | Retrieve system requirements. | reqherd/webservice/api/reqherd_api_v1/endpoints/sysreqs.py | get_system_requirements | zthurman/reqherd | 0 | python | @router.get('/', response_model=List[schemas.SystemRequirement])
def get_system_requirements(db: Session=Depends(deps.get_db), skip: int=0, limit: int=100) -> Any:
'\n \n '
system_requirements = crud.sysreq.get_multi(db, skip=skip, limit=limit)
logger.debug(system_requirements)
return system_requirements | @router.get('/', response_model=List[schemas.SystemRequirement])
def get_system_requirements(db: Session=Depends(deps.get_db), skip: int=0, limit: int=100) -> Any:
'\n \n '
system_requirements = crud.sysreq.get_multi(db, skip=skip, limit=limit)
logger.debug(system_requirements)
return system_requirements<|docstring|>Retrieve system requirements.<|endoftext|> |
12be7faad6b84e5a38c6397f4a88b2e2d338eb4f95f890d28945352050c0d145 | @router.post('/', response_model=List[schemas.SystemRequirement])
def create_system_requirements(*, db: Session=Depends(deps.get_db), system_requirements_in: List[schemas.SystemRequirementCreate]) -> Any:
'\n Create new system requirements.\n '
system_requirements = list()
for system_requirement_in in system_requirements_in:
system_requirement = crud.sysreq.create(db=db, obj_in=system_requirement_in)
system_requirements.append(system_requirement)
logger.debug(system_requirements)
return system_requirements | Create new system requirements. | reqherd/webservice/api/reqherd_api_v1/endpoints/sysreqs.py | create_system_requirements | zthurman/reqherd | 0 | python | @router.post('/', response_model=List[schemas.SystemRequirement])
def create_system_requirements(*, db: Session=Depends(deps.get_db), system_requirements_in: List[schemas.SystemRequirementCreate]) -> Any:
'\n \n '
system_requirements = list()
for system_requirement_in in system_requirements_in:
system_requirement = crud.sysreq.create(db=db, obj_in=system_requirement_in)
system_requirements.append(system_requirement)
logger.debug(system_requirements)
return system_requirements | @router.post('/', response_model=List[schemas.SystemRequirement])
def create_system_requirements(*, db: Session=Depends(deps.get_db), system_requirements_in: List[schemas.SystemRequirementCreate]) -> Any:
'\n \n '
system_requirements = list()
for system_requirement_in in system_requirements_in:
system_requirement = crud.sysreq.create(db=db, obj_in=system_requirement_in)
system_requirements.append(system_requirement)
logger.debug(system_requirements)
return system_requirements<|docstring|>Create new system requirements.<|endoftext|> |
6d61008d3494ddf9ae0c2ea40e8e90d0c8fb9fe74fbc776d1d318d003b7442aa | @router.put('/{id}', response_model=schemas.SystemRequirement)
def update_system_requirement(*, db: Session=Depends(deps.get_db), id: int, system_requirement_in: schemas.SystemRequirementUpdate) -> Any:
'\n Update system requirement.\n '
systemrequirement = crud.sysreq.get(db=db, id=id)
if (not systemrequirement):
raise HTTPException(status_code=404, detail='Record not found')
systemrequirement = crud.sysreq.update(db=db, db_obj=systemrequirement, obj_in=system_requirement_in)
logger.debug(systemrequirement)
return systemrequirement | Update system requirement. | reqherd/webservice/api/reqherd_api_v1/endpoints/sysreqs.py | update_system_requirement | zthurman/reqherd | 0 | python | @router.put('/{id}', response_model=schemas.SystemRequirement)
def update_system_requirement(*, db: Session=Depends(deps.get_db), id: int, system_requirement_in: schemas.SystemRequirementUpdate) -> Any:
'\n \n '
systemrequirement = crud.sysreq.get(db=db, id=id)
if (not systemrequirement):
raise HTTPException(status_code=404, detail='Record not found')
systemrequirement = crud.sysreq.update(db=db, db_obj=systemrequirement, obj_in=system_requirement_in)
logger.debug(systemrequirement)
return systemrequirement | @router.put('/{id}', response_model=schemas.SystemRequirement)
def update_system_requirement(*, db: Session=Depends(deps.get_db), id: int, system_requirement_in: schemas.SystemRequirementUpdate) -> Any:
'\n \n '
systemrequirement = crud.sysreq.get(db=db, id=id)
if (not systemrequirement):
raise HTTPException(status_code=404, detail='Record not found')
systemrequirement = crud.sysreq.update(db=db, db_obj=systemrequirement, obj_in=system_requirement_in)
logger.debug(systemrequirement)
return systemrequirement<|docstring|>Update system requirement.<|endoftext|> |
d5ff6cc79a04ddfd42f3e8be144135037a575a28c79c316e27b3781bf6241cd2 | @router.get('/{id}', response_model=schemas.SystemRequirement)
def get_system_requirement(*, db: Session=Depends(deps.get_db), id: int) -> Any:
'\n Get system requirement by ID.\n '
systemrequirement = crud.sysreq.get(db=db, id=id)
if (not systemrequirement):
raise HTTPException(status_code=404, detail='Record not found')
logger.debug(systemrequirement)
return systemrequirement | Get system requirement by ID. | reqherd/webservice/api/reqherd_api_v1/endpoints/sysreqs.py | get_system_requirement | zthurman/reqherd | 0 | python | @router.get('/{id}', response_model=schemas.SystemRequirement)
def get_system_requirement(*, db: Session=Depends(deps.get_db), id: int) -> Any:
'\n \n '
systemrequirement = crud.sysreq.get(db=db, id=id)
if (not systemrequirement):
raise HTTPException(status_code=404, detail='Record not found')
logger.debug(systemrequirement)
return systemrequirement | @router.get('/{id}', response_model=schemas.SystemRequirement)
def get_system_requirement(*, db: Session=Depends(deps.get_db), id: int) -> Any:
'\n \n '
systemrequirement = crud.sysreq.get(db=db, id=id)
if (not systemrequirement):
raise HTTPException(status_code=404, detail='Record not found')
logger.debug(systemrequirement)
return systemrequirement<|docstring|>Get system requirement by ID.<|endoftext|> |
fcf4127abea0b91e728c11a0583c406814107b50418ba857d0e0fb1746d98757 | @router.delete('/{id}', response_model=schemas.SystemRequirement)
def delete_system_requirement(*, db: Session=Depends(deps.get_db), id: int) -> Any:
'\n Delete a system requirement.\n '
systemrequirement = crud.sysreq.get(db=db, id=id)
if (not systemrequirement):
raise HTTPException(status_code=404, detail='Record not found')
systemrequirement = crud.sysreq.remove(db=db, id=id)
logger.debug(systemrequirement)
return systemrequirement | Delete a system requirement. | reqherd/webservice/api/reqherd_api_v1/endpoints/sysreqs.py | delete_system_requirement | zthurman/reqherd | 0 | python | @router.delete('/{id}', response_model=schemas.SystemRequirement)
def delete_system_requirement(*, db: Session=Depends(deps.get_db), id: int) -> Any:
'\n \n '
systemrequirement = crud.sysreq.get(db=db, id=id)
if (not systemrequirement):
raise HTTPException(status_code=404, detail='Record not found')
systemrequirement = crud.sysreq.remove(db=db, id=id)
logger.debug(systemrequirement)
return systemrequirement | @router.delete('/{id}', response_model=schemas.SystemRequirement)
def delete_system_requirement(*, db: Session=Depends(deps.get_db), id: int) -> Any:
'\n \n '
systemrequirement = crud.sysreq.get(db=db, id=id)
if (not systemrequirement):
raise HTTPException(status_code=404, detail='Record not found')
systemrequirement = crud.sysreq.remove(db=db, id=id)
logger.debug(systemrequirement)
return systemrequirement<|docstring|>Delete a system requirement.<|endoftext|> |
d9f0d8c3e0608be94a15e8f34bef150a380ea4a98ba4cbba610668744346f124 | def generate_progress_func(total_size, assert_equal, assert_almost_equal, buffer_size=8192):
'\n Generate a function that helps to predictably test upload/download progress\n :param total_size: Total size of the file to upload/download\n :param assert_equal: The unittest.TestCase assertEqual method\n :param assert_almost_equal: The unittest.TestCase assertAlmostEqual method\n :param buffer_size: Size of chunk\n :return: A function that receives 2 ints - number of bytes read so far,\n and the total size in bytes\n '
iteration = [0]
max_iterations = (total_size / buffer_size)
def print_progress(read, total):
i = iteration[0]
assert_almost_equal(total, total_size, delta=5)
expected_read_value = (buffer_size * (i + 1))
if (i < max_iterations):
assert_equal(read, expected_read_value)
else:
assert_almost_equal(read, total_size, delta=5)
iteration[0] += 1
return print_progress | Generate a function that helps to predictably test upload/download progress
:param total_size: Total size of the file to upload/download
:param assert_equal: The unittest.TestCase assertEqual method
:param assert_almost_equal: The unittest.TestCase assertAlmostEqual method
:param buffer_size: Size of chunk
:return: A function that receives 2 ints - number of bytes read so far,
and the total size in bytes | rest-service/manager_rest/test/endpoints/test_utils.py | generate_progress_func | yeshess/cloudify-manager | 0 | python | def generate_progress_func(total_size, assert_equal, assert_almost_equal, buffer_size=8192):
'\n Generate a function that helps to predictably test upload/download progress\n :param total_size: Total size of the file to upload/download\n :param assert_equal: The unittest.TestCase assertEqual method\n :param assert_almost_equal: The unittest.TestCase assertAlmostEqual method\n :param buffer_size: Size of chunk\n :return: A function that receives 2 ints - number of bytes read so far,\n and the total size in bytes\n '
iteration = [0]
max_iterations = (total_size / buffer_size)
def print_progress(read, total):
i = iteration[0]
assert_almost_equal(total, total_size, delta=5)
expected_read_value = (buffer_size * (i + 1))
if (i < max_iterations):
assert_equal(read, expected_read_value)
else:
assert_almost_equal(read, total_size, delta=5)
iteration[0] += 1
return print_progress | def generate_progress_func(total_size, assert_equal, assert_almost_equal, buffer_size=8192):
'\n Generate a function that helps to predictably test upload/download progress\n :param total_size: Total size of the file to upload/download\n :param assert_equal: The unittest.TestCase assertEqual method\n :param assert_almost_equal: The unittest.TestCase assertAlmostEqual method\n :param buffer_size: Size of chunk\n :return: A function that receives 2 ints - number of bytes read so far,\n and the total size in bytes\n '
iteration = [0]
max_iterations = (total_size / buffer_size)
def print_progress(read, total):
i = iteration[0]
assert_almost_equal(total, total_size, delta=5)
expected_read_value = (buffer_size * (i + 1))
if (i < max_iterations):
assert_equal(read, expected_read_value)
else:
assert_almost_equal(read, total_size, delta=5)
iteration[0] += 1
return print_progress<|docstring|>Generate a function that helps to predictably test upload/download progress
:param total_size: Total size of the file to upload/download
:param assert_equal: The unittest.TestCase assertEqual method
:param assert_almost_equal: The unittest.TestCase assertAlmostEqual method
:param buffer_size: Size of chunk
:return: A function that receives 2 ints - number of bytes read so far,
and the total size in bytes<|endoftext|> |
9975909745b2dfe1ca440ff371dff5c097e77cf92814ccf44946e64ffda2295c | def idfn(val):
'\n Generate test annotations for better readability.\n :param val:\n :return:\n '
if (val == translational_joint_schema):
return '<Simple TransJoint>'
if (val == general_rotational_joint_schema):
return '<GeneralRotJoint>'
if (val == zero_twist_schema):
return '<NoTwistRotJoint>'
if (val == perpendicular_twist_schema):
return '<PerpTwistRotJoint>'
if (val == no_offset_schema):
return '<NoOffsetRotJoint>'
if (val == zero_twist_no_offset_schema):
return '<NoTwistNoOffsetRotJoint>'
if (val == perpendicular_twist_no_offset_schema):
return '<PerpTwistNoOffsetRotJoint>' | Generate test annotations for better readability.
:param val:
:return: | test/test_joint_factories.py | idfn | rgaensler/gcode | 0 | python | def idfn(val):
'\n Generate test annotations for better readability.\n :param val:\n :return:\n '
if (val == translational_joint_schema):
return '<Simple TransJoint>'
if (val == general_rotational_joint_schema):
return '<GeneralRotJoint>'
if (val == zero_twist_schema):
return '<NoTwistRotJoint>'
if (val == perpendicular_twist_schema):
return '<PerpTwistRotJoint>'
if (val == no_offset_schema):
return '<NoOffsetRotJoint>'
if (val == zero_twist_no_offset_schema):
return '<NoTwistNoOffsetRotJoint>'
if (val == perpendicular_twist_no_offset_schema):
return '<PerpTwistNoOffsetRotJoint>' | def idfn(val):
'\n Generate test annotations for better readability.\n :param val:\n :return:\n '
if (val == translational_joint_schema):
return '<Simple TransJoint>'
if (val == general_rotational_joint_schema):
return '<GeneralRotJoint>'
if (val == zero_twist_schema):
return '<NoTwistRotJoint>'
if (val == perpendicular_twist_schema):
return '<PerpTwistRotJoint>'
if (val == no_offset_schema):
return '<NoOffsetRotJoint>'
if (val == zero_twist_no_offset_schema):
return '<NoTwistNoOffsetRotJoint>'
if (val == perpendicular_twist_no_offset_schema):
return '<PerpTwistNoOffsetRotJoint>'<|docstring|>Generate test annotations for better readability.
:param val:
:return:<|endoftext|> |
d8a7e3d59e24241641eb50d85e7df47e7d8267e672d721085c1fdd41337a0a36 | def generate_boundary(bounds, dx, extent, buffer=5):
"Function to generate a raster boundary mask from an ANUGA model\n boundary.\n Inputs:\n bounds (np.ndarray) : List of vertices defining the ANUGA model\n boundary, e.g. from np.loadtxt('boundary.csv')\n dx (float) : Grid size of the input imagery raster\n extent (list or array) : geographical extent of imagery raster,\n specified as extent = [xmin, xmax, ymin, ymax]\n buffer (int) : Radius of a disk-shaped buffer to apply between the\n boundary and interior features, specified in number of pixels\n Outputs:\n outside (np.ndarray) : Binary raster same size as the imagery\n raster with 1's representing cells outside the boundary (with\n buffer) and 0's inside the boundary\n "
xvect = np.arange(extent[0], extent[1], dx)
yvect = np.arange(extent[2], extent[3], dx)
(gridX, gridY) = np.meshgrid(xvect, yvect)
gridXY_array = np.array([np.concatenate(gridX), np.concatenate(gridY)]).transpose()
gridXY_array = np.ascontiguousarray(gridXY_array)
path = matplotlib.path.Path(bounds)
outside = (~ path.contains_points(gridXY_array))
outside.shape = (len(yvect), len(xvect))
outside = np.flipud(outside)
if (buffer > 0):
outside = morphology.dilation(outside, morphology.disk(buffer))
return outside | Function to generate a raster boundary mask from an ANUGA model
boundary.
Inputs:
bounds (np.ndarray) : List of vertices defining the ANUGA model
boundary, e.g. from np.loadtxt('boundary.csv')
dx (float) : Grid size of the input imagery raster
extent (list or array) : geographical extent of imagery raster,
specified as extent = [xmin, xmax, ymin, ymax]
buffer (int) : Radius of a disk-shaped buffer to apply between the
boundary and interior features, specified in number of pixels
Outputs:
outside (np.ndarray) : Binary raster same size as the imagery
raster with 1's representing cells outside the boundary (with
buffer) and 0's inside the boundary | unstructured_mesh_refinement_tools.py | generate_boundary | passaH2O/meshrefinement | 1 | python | def generate_boundary(bounds, dx, extent, buffer=5):
"Function to generate a raster boundary mask from an ANUGA model\n boundary.\n Inputs:\n bounds (np.ndarray) : List of vertices defining the ANUGA model\n boundary, e.g. from np.loadtxt('boundary.csv')\n dx (float) : Grid size of the input imagery raster\n extent (list or array) : geographical extent of imagery raster,\n specified as extent = [xmin, xmax, ymin, ymax]\n buffer (int) : Radius of a disk-shaped buffer to apply between the\n boundary and interior features, specified in number of pixels\n Outputs:\n outside (np.ndarray) : Binary raster same size as the imagery\n raster with 1's representing cells outside the boundary (with\n buffer) and 0's inside the boundary\n "
xvect = np.arange(extent[0], extent[1], dx)
yvect = np.arange(extent[2], extent[3], dx)
(gridX, gridY) = np.meshgrid(xvect, yvect)
gridXY_array = np.array([np.concatenate(gridX), np.concatenate(gridY)]).transpose()
gridXY_array = np.ascontiguousarray(gridXY_array)
path = matplotlib.path.Path(bounds)
outside = (~ path.contains_points(gridXY_array))
outside.shape = (len(yvect), len(xvect))
outside = np.flipud(outside)
if (buffer > 0):
outside = morphology.dilation(outside, morphology.disk(buffer))
return outside | def generate_boundary(bounds, dx, extent, buffer=5):
"Function to generate a raster boundary mask from an ANUGA model\n boundary.\n Inputs:\n bounds (np.ndarray) : List of vertices defining the ANUGA model\n boundary, e.g. from np.loadtxt('boundary.csv')\n dx (float) : Grid size of the input imagery raster\n extent (list or array) : geographical extent of imagery raster,\n specified as extent = [xmin, xmax, ymin, ymax]\n buffer (int) : Radius of a disk-shaped buffer to apply between the\n boundary and interior features, specified in number of pixels\n Outputs:\n outside (np.ndarray) : Binary raster same size as the imagery\n raster with 1's representing cells outside the boundary (with\n buffer) and 0's inside the boundary\n "
xvect = np.arange(extent[0], extent[1], dx)
yvect = np.arange(extent[2], extent[3], dx)
(gridX, gridY) = np.meshgrid(xvect, yvect)
gridXY_array = np.array([np.concatenate(gridX), np.concatenate(gridY)]).transpose()
gridXY_array = np.ascontiguousarray(gridXY_array)
path = matplotlib.path.Path(bounds)
outside = (~ path.contains_points(gridXY_array))
outside.shape = (len(yvect), len(xvect))
outside = np.flipud(outside)
if (buffer > 0):
outside = morphology.dilation(outside, morphology.disk(buffer))
return outside<|docstring|>Function to generate a raster boundary mask from an ANUGA model
boundary.
Inputs:
bounds (np.ndarray) : List of vertices defining the ANUGA model
boundary, e.g. from np.loadtxt('boundary.csv')
dx (float) : Grid size of the input imagery raster
extent (list or array) : geographical extent of imagery raster,
specified as extent = [xmin, xmax, ymin, ymax]
buffer (int) : Radius of a disk-shaped buffer to apply between the
boundary and interior features, specified in number of pixels
Outputs:
outside (np.ndarray) : Binary raster same size as the imagery
raster with 1's representing cells outside the boundary (with
buffer) and 0's inside the boundary<|endoftext|> |
476f8fc133db721b532b0ec93f1ba7411de2c5e97789c69cb3d07faf8983c455 | def enforce_connectivity(image, outside):
"\n Function to filter out any objects not connected to the largest\n cluster in image.\n Inputs:\n image (np.ndarray) : Binary input raster with 1's corresponding\n to hydrodynamically active areas, which get mapped to high\n resolution, and 0's otherwise\n outside (np.ndarray) : Binary raster same size as the imagery\n raster with 1's representing cells outside the boundary\n and 0's inside the boundary. Output of generate_boundary()\n Outputs:\n connected_cluster (np.ndarray) : Binary raster similar to\n input image, with only the largest cluster of 1's remaining\n "
image[outside] = 0
image_count = np.array(measure.label(image, connectivity=2), dtype=float)
image_count[(image_count == 0)] = np.nan
largest_val = stats.mode(image_count, nan_policy='omit')[0][0]
connected_cluster = (image_count == largest_val)
return connected_cluster | Function to filter out any objects not connected to the largest
cluster in image.
Inputs:
image (np.ndarray) : Binary input raster with 1's corresponding
to hydrodynamically active areas, which get mapped to high
resolution, and 0's otherwise
outside (np.ndarray) : Binary raster same size as the imagery
raster with 1's representing cells outside the boundary
and 0's inside the boundary. Output of generate_boundary()
Outputs:
connected_cluster (np.ndarray) : Binary raster similar to
input image, with only the largest cluster of 1's remaining | unstructured_mesh_refinement_tools.py | enforce_connectivity | passaH2O/meshrefinement | 1 | python | def enforce_connectivity(image, outside):
"\n Function to filter out any objects not connected to the largest\n cluster in image.\n Inputs:\n image (np.ndarray) : Binary input raster with 1's corresponding\n to hydrodynamically active areas, which get mapped to high\n resolution, and 0's otherwise\n outside (np.ndarray) : Binary raster same size as the imagery\n raster with 1's representing cells outside the boundary\n and 0's inside the boundary. Output of generate_boundary()\n Outputs:\n connected_cluster (np.ndarray) : Binary raster similar to\n input image, with only the largest cluster of 1's remaining\n "
image[outside] = 0
image_count = np.array(measure.label(image, connectivity=2), dtype=float)
image_count[(image_count == 0)] = np.nan
largest_val = stats.mode(image_count, nan_policy='omit')[0][0]
connected_cluster = (image_count == largest_val)
return connected_cluster | def enforce_connectivity(image, outside):
"\n Function to filter out any objects not connected to the largest\n cluster in image.\n Inputs:\n image (np.ndarray) : Binary input raster with 1's corresponding\n to hydrodynamically active areas, which get mapped to high\n resolution, and 0's otherwise\n outside (np.ndarray) : Binary raster same size as the imagery\n raster with 1's representing cells outside the boundary\n and 0's inside the boundary. Output of generate_boundary()\n Outputs:\n connected_cluster (np.ndarray) : Binary raster similar to\n input image, with only the largest cluster of 1's remaining\n "
image[outside] = 0
image_count = np.array(measure.label(image, connectivity=2), dtype=float)
image_count[(image_count == 0)] = np.nan
largest_val = stats.mode(image_count, nan_policy='omit')[0][0]
connected_cluster = (image_count == largest_val)
return connected_cluster<|docstring|>Function to filter out any objects not connected to the largest
cluster in image.
Inputs:
image (np.ndarray) : Binary input raster with 1's corresponding
to hydrodynamically active areas, which get mapped to high
resolution, and 0's otherwise
outside (np.ndarray) : Binary raster same size as the imagery
raster with 1's representing cells outside the boundary
and 0's inside the boundary. Output of generate_boundary()
Outputs:
connected_cluster (np.ndarray) : Binary raster similar to
input image, with only the largest cluster of 1's remaining<|endoftext|> |
7cdaad6ff85edb5e9545e22a8f228ef29e9dcef4e0d65d2e51ef8d1e8546ebe6 | def ensure_minimum_width(connected_cluster, buffer=5):
'\n Function to enforce minimum dimension of objects in active network\n Inputs:\n connected_cluster (np.ndarray) : Binary raster indicating\n largest connected cluster of active pixels, output of\n enforce_connectivity()\n buffer (int) : Radius of a disk-shaped buffer to apply between the\n interior features, specified in number of pixels\n Outputs:\n dilated_cluster (np.ndarray) : Binary raster similar to\n connected_cluster, with buffer applied\n '
dilated_cluster = morphology.dilation(connected_cluster, morphology.disk(buffer))
return dilated_cluster | Function to enforce minimum dimension of objects in active network
Inputs:
connected_cluster (np.ndarray) : Binary raster indicating
largest connected cluster of active pixels, output of
enforce_connectivity()
buffer (int) : Radius of a disk-shaped buffer to apply between the
interior features, specified in number of pixels
Outputs:
dilated_cluster (np.ndarray) : Binary raster similar to
connected_cluster, with buffer applied | unstructured_mesh_refinement_tools.py | ensure_minimum_width | passaH2O/meshrefinement | 1 | python | def ensure_minimum_width(connected_cluster, buffer=5):
'\n Function to enforce minimum dimension of objects in active network\n Inputs:\n connected_cluster (np.ndarray) : Binary raster indicating\n largest connected cluster of active pixels, output of\n enforce_connectivity()\n buffer (int) : Radius of a disk-shaped buffer to apply between the\n interior features, specified in number of pixels\n Outputs:\n dilated_cluster (np.ndarray) : Binary raster similar to\n connected_cluster, with buffer applied\n '
dilated_cluster = morphology.dilation(connected_cluster, morphology.disk(buffer))
return dilated_cluster | def ensure_minimum_width(connected_cluster, buffer=5):
'\n Function to enforce minimum dimension of objects in active network\n Inputs:\n connected_cluster (np.ndarray) : Binary raster indicating\n largest connected cluster of active pixels, output of\n enforce_connectivity()\n buffer (int) : Radius of a disk-shaped buffer to apply between the\n interior features, specified in number of pixels\n Outputs:\n dilated_cluster (np.ndarray) : Binary raster similar to\n connected_cluster, with buffer applied\n '
dilated_cluster = morphology.dilation(connected_cluster, morphology.disk(buffer))
return dilated_cluster<|docstring|>Function to enforce minimum dimension of objects in active network
Inputs:
connected_cluster (np.ndarray) : Binary raster indicating
largest connected cluster of active pixels, output of
enforce_connectivity()
buffer (int) : Radius of a disk-shaped buffer to apply between the
interior features, specified in number of pixels
Outputs:
dilated_cluster (np.ndarray) : Binary raster similar to
connected_cluster, with buffer applied<|endoftext|> |
19005ef6c2303b1718c5b2e4134ae4e1ec8a846e04b8a2a4588ed2a782765afe | def smooth_object_interface(dilated_cluster, outside, buffer=5):
"\n Function to smooth the interface between channels and island\n Inputs:\n dilated_cluster (np.ndarray) : Binary raster indicating\n filtered connected cluster of active pixels, output of\n ensure_minimum_width()\n outside (np.ndarray) : Binary raster same size as the imagery\n raster with 1's representing cells outside the boundary\n and 0's inside the boundary. Output of generate_boundary()\n buffer (int) : Radius of a disk-shaped buffer with which to\n smooth interior features, specified in number of pixels\n Outputs:\n smoothed_cluster (np.ndarray) : Binary raster similar to\n dilated_cluster, with smoothing applied\n "
dilated_cluster[outside] = 1
smoothed_cluster = morphology.binary_closing(dilated_cluster, morphology.disk(buffer))
return smoothed_cluster | Function to smooth the interface between channels and island
Inputs:
dilated_cluster (np.ndarray) : Binary raster indicating
filtered connected cluster of active pixels, output of
ensure_minimum_width()
outside (np.ndarray) : Binary raster same size as the imagery
raster with 1's representing cells outside the boundary
and 0's inside the boundary. Output of generate_boundary()
buffer (int) : Radius of a disk-shaped buffer with which to
smooth interior features, specified in number of pixels
Outputs:
smoothed_cluster (np.ndarray) : Binary raster similar to
dilated_cluster, with smoothing applied | unstructured_mesh_refinement_tools.py | smooth_object_interface | passaH2O/meshrefinement | 1 | python | def smooth_object_interface(dilated_cluster, outside, buffer=5):
"\n Function to smooth the interface between channels and island\n Inputs:\n dilated_cluster (np.ndarray) : Binary raster indicating\n filtered connected cluster of active pixels, output of\n ensure_minimum_width()\n outside (np.ndarray) : Binary raster same size as the imagery\n raster with 1's representing cells outside the boundary\n and 0's inside the boundary. Output of generate_boundary()\n buffer (int) : Radius of a disk-shaped buffer with which to\n smooth interior features, specified in number of pixels\n Outputs:\n smoothed_cluster (np.ndarray) : Binary raster similar to\n dilated_cluster, with smoothing applied\n "
dilated_cluster[outside] = 1
smoothed_cluster = morphology.binary_closing(dilated_cluster, morphology.disk(buffer))
return smoothed_cluster | def smooth_object_interface(dilated_cluster, outside, buffer=5):
"\n Function to smooth the interface between channels and island\n Inputs:\n dilated_cluster (np.ndarray) : Binary raster indicating\n filtered connected cluster of active pixels, output of\n ensure_minimum_width()\n outside (np.ndarray) : Binary raster same size as the imagery\n raster with 1's representing cells outside the boundary\n and 0's inside the boundary. Output of generate_boundary()\n buffer (int) : Radius of a disk-shaped buffer with which to\n smooth interior features, specified in number of pixels\n Outputs:\n smoothed_cluster (np.ndarray) : Binary raster similar to\n dilated_cluster, with smoothing applied\n "
dilated_cluster[outside] = 1
smoothed_cluster = morphology.binary_closing(dilated_cluster, morphology.disk(buffer))
return smoothed_cluster<|docstring|>Function to smooth the interface between channels and island
Inputs:
dilated_cluster (np.ndarray) : Binary raster indicating
filtered connected cluster of active pixels, output of
ensure_minimum_width()
outside (np.ndarray) : Binary raster same size as the imagery
raster with 1's representing cells outside the boundary
and 0's inside the boundary. Output of generate_boundary()
buffer (int) : Radius of a disk-shaped buffer with which to
smooth interior features, specified in number of pixels
Outputs:
smoothed_cluster (np.ndarray) : Binary raster similar to
dilated_cluster, with smoothing applied<|endoftext|> |
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