wbia.algo.detect package¶
Subpackages¶
Submodules¶
wbia.algo.detect.azure module¶
Interface to Azure object proposals.
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wbia.algo.detect.azure.
detect
(gpath_list, config_filepath, verbose=False, **kwargs)[source]¶ Detect image filepaths with azure.
Parameters: gpath_list (list of str) – the list of image paths that need proposal candidates Kwargs (optional): refer to the Azure documentation for configuration settings
Returns: iter
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wbia.algo.detect.azure.
detect_gid_list
(ibs, gid_list, verbose=False, **kwargs)[source]¶ Detect gid_list with azure.
Parameters: gid_list (list of int) – the list of IBEIS image_rowids that need detection Kwargs (optional): refer to the Azure documentation for configuration settings
Parameters: - ibs (wbia.IBEISController) – image analysis api
- gid_list (list of int) – the list of IBEIS image_rowids that need detection
- Kwargs:
- detector, config_filepath, weights_filepath, verbose
Yields: tuple – (gid, gpath, result_list)
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wbia.algo.detect.azure.
label
(chip_filepath_list, labeler_weight_filepath, verbose=False, **kwargs)[source]¶ Classify aid_list with azure.
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wbia.algo.detect.azure.
label_aid_list
(ibs, aid_list, verbose=False, **kwargs)[source]¶ Classify aid_list with azure.
Parameters: aid_list (list of int) – the list of IBEIS annotation rowids that need classifying Kwargs (optional): refer to the Azure documentation for configuration settings
Yields: tuple – (gid, gpath, result_list)
wbia.algo.detect.canonical module¶
wbia.algo.detect.darknet module¶
Interface to Darknet object proposals.
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wbia.algo.detect.darknet.
detect
(gpath_list, config_filepath, weight_filepath, class_filepath, sensitivity, verbose=False, use_gpu=True, use_gpu_id=0, **kwargs)[source]¶ Parameters: gpath_list (list of str) – the list of image paths that need proposal candidates Kwargs (optional): refer to the Darknet documentation for configuration settings
Returns: iter
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wbia.algo.detect.darknet.
detect_gid_list
(ibs, gid_list, downsample=True, verbose=False, **kwargs)[source]¶ Parameters: - gid_list (list of int) – the list of IBEIS image_rowids that need detection
- downsample (bool, optional) –
a flag to indicate if the original image sizes should be used; defaults to True
True: ibs.get_image_detectpaths() is used False: ibs.get_image_paths() is used
Kwargs (optional): refer to the Darknet documentation for configuration settings
Parameters: - ibs (wbia.IBEISController) – image analysis api
- gid_list (list of int) – the list of IBEIS image_rowids that need detection
- downsample (bool, optional) – a flag to indicate if the original image sizes should be used; defaults to True
- Kwargs:
- detector, config_filepath, weights_filepath, verbose
Yields: tuple – (gid, gpath, result_list) - CommandLine:
- python -m wbia.algo.detect.darknet detect_gid_list –show
Example
>>> # DISABLE_DOCTEST >>> from wbia.algo.detect.darknet import * # NOQA >>> from wbia.core_images import LocalizerConfig >>> import wbia >>> ibs = wbia.opendb('testdb1') >>> gid_list = ibs.get_valid_gids() >>> config = {'verbose': True} >>> downsample = False >>> results_list = detect_gid_list(ibs, gid_list, downsample, **config) >>> results_list = list(results_list) >>> print('result lens = %r' % (map(len, list(results_list)))) >>> print('result[0] = %r' % (len(list(results_list[0][2])))) >>> config = {'verbose': True} >>> downsample = False >>> results_list = detect_gid_list(ibs, gid_list, downsample, **config) >>> results_list = list(results_list) >>> print('result lens = %r' % (map(len, list(results_list)))) >>> print('result[0] = %r' % (len(list(results_list[0][2])))) >>> ut.quit_if_noshow() >>> import wbia.plottool as pt >>> ut.show_if_requested()
Yields: results (list of dict)
wbia.algo.detect.densenet module¶
Interface to Lightnet object proposals.
-
class
wbia.algo.detect.densenet.
ImageFilePathList
(filepaths, targets=None, transform=None, target_transform=None)[source]¶ Bases:
torch.utils.data.dataset.Dataset
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class
wbia.algo.detect.densenet.
StratifiedSampler
(dataset, phase, multiplier=1.0)[source]¶ Bases:
torch.utils.data.sampler.Sampler
-
class
wbia.algo.detect.densenet.
TrainAugmentations
(blur=True, flip=False, rotate=10, shear=10, **kwargs)[source]¶
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wbia.algo.detect.densenet.
finetune
(model, dataloaders, criterion, optimizer, scheduler, device, num_epochs=128)[source]¶
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wbia.algo.detect.densenet.
test
(gpath_list, classifier_weight_filepath=None, return_dict=False, multiclass=False, **kwargs)[source]¶
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wbia.algo.detect.densenet.
test_dict
(gpath_list, classifier_weight_filepath=None, return_dict=None, **kwargs)[source]¶
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wbia.algo.detect.densenet.
test_ensemble
(filepath_list, weights_path_list, classifier_weight_filepath, ensemble_index, ibs=None, gid_list=None, multiclass=False, **kwargs)[source]¶
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wbia.algo.detect.densenet.
test_single
(filepath_list, weights_path, batch_size=1792, multi=True, **kwargs)[source]¶
wbia.algo.detect.fasterrcnn module¶
Interface to Faster R-CNN object proposals.
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wbia.algo.detect.fasterrcnn.
detect
(gpath_list, config_filepath, weight_filepath, class_filepath, sensitivity, verbose=False, use_gpu=True, use_gpu_id=0, **kwargs)[source]¶ Parameters: gpath_list (list of str) – the list of image paths that need proposal candidates Kwargs (optional): refer to the Faster R-CNN documentation for configuration settings
Returns: iter
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wbia.algo.detect.fasterrcnn.
detect_gid_list
(ibs, gid_list, downsample=True, verbose=False, **kwargs)[source]¶ Parameters: - gid_list (list of int) – the list of IBEIS image_rowids that need detection
- downsample (bool, optional) –
a flag to indicate if the original image sizes should be used; defaults to True
True: ibs.get_image_detectpaths() is used False: ibs.get_image_paths() is used
Kwargs (optional): refer to the Faster R-CNN documentation for configuration settings
Parameters: - ibs (wbia.IBEISController) – image analysis api
- gid_list (list of int) – the list of IBEIS image_rowids that need detection
- downsample (bool, optional) – a flag to indicate if the original image sizes should be used; defaults to True
- Kwargs:
- detector, config_filepath, weights_filepath, verbose
Yields: tuple – (gid, gpath, result_list) - CommandLine:
- python -m wbia.algo.detect.fasterrcnn detect_gid_list –show
Example
>>> # DISABLE_DOCTEST >>> from wbia.algo.detect.fasterrcnn import * # NOQA >>> from wbia.core_images import LocalizerConfig >>> import wbia >>> ibs = wbia.opendb('testdb1') >>> gid_list = ibs.get_valid_gids() >>> config = {'verbose': True} >>> downsample = False >>> results_list = detect_gid_list(ibs, gid_list, downsample, **config) >>> results_list = list(results_list) >>> print('result lens = %r' % (map(len, list(results_list)))) >>> print('result[0] = %r' % (len(list(results_list[0][2])))) >>> config = {'verbose': True} >>> downsample = False >>> results_list = detect_gid_list(ibs, gid_list, downsample, **config) >>> results_list = list(results_list) >>> print('result lens = %r' % (map(len, list(results_list)))) >>> print('result[0] = %r' % (len(list(results_list[0][2])))) >>> ut.quit_if_noshow() >>> import wbia.plottool as pt >>> ut.show_if_requested()
Yields: results (list of dict)
wbia.algo.detect.grabmodels module¶
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wbia.algo.detect.grabmodels.
ensure_models
(modeldir='default', verbose=True)[source]¶ Parameters: modeldir (str) – - CommandLine:
- python -m wbia.algo.detect.grabmodels –test-ensure_models
Example
>>> # ENABLE_DOCTEST >>> from wbia.algo.detect.grabmodels import * # NOQA >>> modeldir = 'default' >>> result = ensure_models(modeldir) >>> print(result)
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wbia.algo.detect.grabmodels.
get_species_trees_paths
(species, modeldir='default')[source]¶ Parameters: - species –
- modeldir (str) –
Returns: trees_path
Return type: ?
- CommandLine:
- python -m wbia.algo.detect.grabmodels –test-get_species_trees_paths
Example
>>> # ENABLE_DOCTEST >>> from wbia.algo.detect.grabmodels import * # NOQA >>> import wbia >>> # build test data >>> species = wbia.const.TEST_SPECIES.ZEB_PLAIN >>> modeldir = 'default' >>> # execute function >>> trees_path = get_species_trees_paths(species, modeldir) >>> # verify results >>> result = str(trees_path) >>> print(result)
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wbia.algo.detect.grabmodels.
redownload_models
(modeldir='default', verbose=True)[source]¶ Parameters: - modeldir (str) – (default = ‘default’)
- verbose (bool) – verbosity flag(default = True)
- CommandLine:
- python -m wbia.algo.detect.grabmodels –test-redownload_models
Example
>>> # SCRIPT >>> from wbia.algo.detect.grabmodels import * # NOQA >>> result = redownload_models()
wbia.algo.detect.lightnet module¶
Interface to Lightnet object proposals.
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wbia.algo.detect.lightnet.
detect
(gpath_list, config_filepath=None, weight_filepath=None, classes_filepath=None, sensitivity=0.0, verbose=False, flip=False, batch_size=192, **kwargs)[source]¶ Detect image filepaths with lightnet.
Parameters: gpath_list (list of str) – the list of image paths that need proposal candidates Kwargs (optional): refer to the Lightnet documentation for configuration settings
Returns: iter
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wbia.algo.detect.lightnet.
detect_gid_list
(ibs, gid_list, verbose=False, **kwargs)[source]¶ Detect gid_list with lightnet.
Parameters: gid_list (list of int) – the list of IBEIS image_rowids that need detection Kwargs (optional): refer to the Lightnet documentation for configuration settings
Parameters: - ibs (wbia.IBEISController) – image analysis api
- gid_list (list of int) – the list of IBEIS image_rowids that need detection
- Kwargs:
- detector, config_filepath, weight_filepath, verbose
Yields: tuple – (gid, gpath, result_list)
wbia.algo.detect.orientation module¶
Interface to Lightnet object proposals.
-
class
wbia.algo.detect.orientation.
ImageFilePathList
(filepaths, targets=None, transform=None, target_transform=None)[source]¶ Bases:
torch.utils.data.dataset.Dataset
-
class
wbia.algo.detect.orientation.
StratifiedSampler
(dataset, phase, multiplier=1.0)[source]¶ Bases:
torch.utils.data.sampler.Sampler
-
class
wbia.algo.detect.orientation.
TrainAugmentations
(blur=True, flip=False, rotate=10, shear=10, **kwargs)[source]¶
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wbia.algo.detect.orientation.
finetune
(model, dataloaders, criterion, optimizer, scheduler, device, num_epochs=128)[source]¶
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wbia.algo.detect.orientation.
test
(gpath_list, classifier_weight_filepath=None, return_dict=False, multiclass=False, **kwargs)[source]¶
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wbia.algo.detect.orientation.
test_dict
(gpath_list, classifier_weight_filepath=None, return_dict=None, **kwargs)[source]¶
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wbia.algo.detect.orientation.
test_ensemble
(filepath_list, weights_path_list, classifier_weight_filepath, ensemble_index, ibs=None, gid_list=None, multiclass=False, **kwargs)[source]¶
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wbia.algo.detect.orientation.
test_single
(filepath_list, weights_path, batch_size=1792, multi=True, **kwargs)[source]¶
wbia.algo.detect.randomforest module¶
Interface to pyrf random forest object detection.
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wbia.algo.detect.randomforest.
detect
(ibs, gpath_list, tree_path_list, **kwargs)[source]¶ Parameters: - gpath_list (list of str) – the list of image paths that need detection
- tree_path_list (list of str) – the list of trees to load for detection
Kwargs (optional): refer to the PyRF documentation for configuration settings
Returns: iter
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wbia.algo.detect.randomforest.
detect_gid_list
(ibs, gid_list, tree_path_list, downsample=True, **kwargs)[source]¶ Parameters: - gid_list (list of int) – the list of IBEIS image_rowids that need detection
- tree_path_list (list of str) – the list of trees to load for detection
- downsample (bool, optional) –
a flag to indicate if the original image sizes should be used; defaults to True
True: ibs.get_image_detectpaths() is used False: ibs.get_image_paths() is used
Kwargs (optional): refer to the PyRF documentation for configuration settings
Yields: results (list of dict)
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wbia.algo.detect.randomforest.
detect_gid_list_with_species
(ibs, gid_list, species, downsample=True, **kwargs)[source]¶ Parameters: - gid_list (list of int) – the list of IBEIS image_rowids that need detection
- species (str) – the species that should be used to select the pre-trained random forest model
- downsample (bool, optional) –
a flag to indicate if the original image sizes should be used; defaults to True
True: ibs.get_image_detectpaths() is used False: ibs.get_image_paths() is used
Kwargs (optional): refer to the PyRF documentation for configuration settings
Returns: iter - CommandLine:
- python -m wbia.algo.detect.randomforest –test-detect_gid_list_with_species
Example
>>> # DISABLE_DOCTEST >>> from wbia.algo.detect.randomforest import * # NOQA >>> from wbia.algo.detect.randomforest import _get_models # NOQA >>> import wbia >>> # build test data >>> ibs = wbia.opendb('testdb1') >>> species = wbia.const.TEST_SPECIES.ZEB_PLAIN >>> gid_list = ibs.get_valid_gids() >>> downsample = True >>> kwargs = {} >>> # execute function >>> result = detect_gid_list_with_species(ibs, gid_list, species, downsample) >>> # verify results >>> print(result)
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wbia.algo.detect.randomforest.
detect_gpath_list_with_species
(ibs, gpath_list, species, **kwargs)[source]¶ Parameters: - gpath_list (list of str) – the list of image paths that need detection
- species (str) – the species that should be used to select the pre-trained random forest model
- downsample (bool, optional) –
a flag to indicate if the original image sizes should be used; defaults to True
True: ibs.get_image_detectpaths() is used False: ibs.get_image_paths() is used
Kwargs (optional): refer to the PyRF documentation for configuration settings
Yields: iter
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wbia.algo.detect.randomforest.
train_gid_list
(ibs, gid_list, trees_path=None, species=None, setup=True, teardown=False, **kwargs)[source]¶ Parameters: - gid_list (list of int) – the list of IBEIS image_rowids that need detection
- trees_path (str) – the path that the trees will be saved into (along with temporary training inventory folders that are deleted once training is finished)
- species (str) – the species that should be used to assign to the newly trained trees
Kwargs (optional): refer to the PyRF documentation for configuration settings
Returns: None
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wbia.algo.detect.randomforest.
train_gpath_list
(ibs, train_pos_cpath_list, train_neg_cpath_list, trees_path=None, **kwargs)[source]¶ Parameters: - train_pos_cpath_list (list of str) – the list of positive image paths for training
- train_neg_cpath_list (list of str) – the list of negative image paths for training
- trees_path (str) – the path that the trees will be saved into (along with temporary training inventory folders that are deleted once training is finished)
- species (str, optional) – the species that should be used to assign to the newly trained trees
Kwargs (optional): refer to the PyRF documentation for configuration settings
Returns: None
wbia.algo.detect.rf module¶
Interface to Darknet object proposals.
wbia.algo.detect.selectivesearch module¶
Interface to Selective Search object proposals.
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wbia.algo.detect.selectivesearch.
detect
(gpath_list, matlab_command='selective_search', verbose=False, **kwargs)[source]¶ Parameters: gpath_list (list of str) – the list of image paths that need proposal candidates Kwargs (optional): refer to the Selective Search documentation for configuration settings
Returns: iter
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wbia.algo.detect.selectivesearch.
detect_gid_list
(ibs, gid_list, downsample=True, verbose=False, **kwargs)[source]¶ Parameters: - gid_list (list of int) – the list of IBEIS image_rowids that need detection
- downsample (bool, optional) –
a flag to indicate if the original image sizes should be used; defaults to True
True: ibs.get_image_detectpaths() is used False: ibs.get_image_paths() is used
Kwargs (optional): refer to the Selective Search documentation for configuration settings
Parameters: - ibs (wbia.IBEISController) – image analysis api
- gid_list (list of int) – the list of IBEIS image_rowids that need detection
- downsample (bool, optional) – a flag to indicate if the original image sizes should be used; defaults to True
- Kwargs:
- detector, config_filepath, weights_filepath, verbose
Yields: tuple – (gid, gpath, result_list) - CommandLine:
- python -m wbia.algo.detect.selectivesearch detect_gid_list –show
Example
>>> # DISABLE_DOCTEST >>> from wbia.algo.detect.selectivesearch import * # NOQA >>> from wbia.core_images import LocalizerConfig >>> import wbia >>> ibs = wbia.opendb('testdb1') >>> gid_list = ibs.get_valid_gids() >>> config = {'matlab_command': 'selective_search', 'verbose': True} >>> downsample = False >>> results_list = detect_gid_list(ibs, gid_list, downsample, **config) >>> results_list = list(results_list) >>> print('result lens = %r' % (map(len, list(results_list)))) >>> print('result[0] = %r' % (len(list(results_list[0][2])))) >>> config = {'matlab_command': 'selective_search_rcnn', 'verbose': True} >>> downsample = False >>> results_list = detect_gid_list(ibs, gid_list, downsample, **config) >>> results_list = list(results_list) >>> print('result lens = %r' % (map(len, list(results_list)))) >>> print('result[0] = %r' % (len(list(results_list[0][2])))) >>> ut.quit_if_noshow() >>> import wbia.plottool as pt >>> ut.show_if_requested()
Yields: results (list of dict)
wbia.algo.detect.ssd module¶
Interface to SSD object proposals.
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wbia.algo.detect.ssd.
detect
(gpath_list, config_filepath, weight_filepath, class_filepath, sensitivity, verbose=False, use_gpu=True, use_gpu_id=0, **kwargs)[source]¶ Parameters: gpath_list (list of str) – the list of image paths that need proposal candidates Kwargs (optional): refer to the SSD documentation for configuration settings
Returns: iter
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wbia.algo.detect.ssd.
detect_gid_list
(ibs, gid_list, downsample=True, verbose=False, **kwargs)[source]¶ Parameters: - gid_list (list of int) – the list of IBEIS image_rowids that need detection
- downsample (bool, optional) –
a flag to indicate if the original image sizes should be used; defaults to True
True: ibs.get_image_detectpaths() is used False: ibs.get_image_paths() is used
Kwargs (optional): refer to the SSD documentation for configuration settings
Parameters: - ibs (wbia.IBEISController) – image analysis api
- gid_list (list of int) – the list of IBEIS image_rowids that need detection
- downsample (bool, optional) – a flag to indicate if the original image sizes should be used; defaults to True
- Kwargs:
- detector, config_filepath, weights_filepath, verbose
Yields: tuple – (gid, gpath, result_list) - CommandLine:
- python -m wbia.algo.detect.ssd detect_gid_list –show
Example
>>> # DISABLE_DOCTEST >>> from wbia.algo.detect.ssd import * # NOQA >>> from wbia.core_images import LocalizerConfig >>> import wbia >>> ibs = wbia.opendb('testdb1') >>> gid_list = ibs.get_valid_gids() >>> config = {'verbose': True} >>> downsample = False >>> results_list = detect_gid_list(ibs, gid_list, downsample, **config) >>> results_list = list(results_list) >>> print('result lens = %r' % (map(len, list(results_list)))) >>> print('result[0] = %r' % (len(list(results_list[0][2])))) >>> config = {'verbose': True} >>> downsample = False >>> results_list = detect_gid_list(ibs, gid_list, downsample, **config) >>> results_list = list(results_list) >>> print('result lens = %r' % (map(len, list(results_list)))) >>> print('result[0] = %r' % (len(list(results_list[0][2])))) >>> ut.quit_if_noshow() >>> import wbia.plottool as pt >>> ut.show_if_requested()
Yields: results (list of dict)
wbia.algo.detect.svm module¶
Interface to Darknet object proposals.
wbia.algo.detect.yolo module¶
Interface to pydarknet yolo object detection.
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wbia.algo.detect.yolo.
detect
(gpath_list, detector=None, config_filepath=None, weights_filepath=None, **kwargs)[source]¶ Parameters: gpath_list (list of str) – the list of image paths that need detection Kwargs (optional): refer to the PyDarknet documentation for configuration settings
Returns: iter Example
>>> # DISABLE_DOCTEST >>> from wbia.algo.detect.yolo import * # NOQA >>> from wbia.core_images import LocalizerConfig >>> import wbia >>> ibs = wbia.opendb(defaultdb='WS_ALL') >>> gid_list = ibs.images()._rowids[0:1] >>> gpath_list = ibs.get_image_paths(gid_list) >>> dpath = '/media/raid/work/WS_ALL/localizer_backup/' >>> weights_filepath = join(dpath, 'detect.yolo.2.39000.weights') >>> config_filepath = join(dpath, 'detect.yolo.2.cfg') >>> config = LocalizerConfig( >>> weights_filepath=weights_filepath, >>> config_filepath=config_filepath, >>> ) >>> kwargs = config.asdict() >>> ut.delete_dict_keys(kwargs, ['weights_filepath', 'config_filepath']) >>> ut.delete_dict_keys(kwargs, ['thumbnail_cfg', 'species', 'algo'])
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wbia.algo.detect.yolo.
detect_gid_list
(ibs, gid_list, downsample=False, **kwargs)[source]¶ Parameters: - gid_list (list of int) – the list of IBEIS image_rowids that need detection
- downsample (bool, optional) –
a flag to indicate if the original image sizes should be used; defaults to True
True: ibs.get_image_detectpaths() is used False: ibs.get_image_paths() is used
Kwargs (optional): refer to the PyDarknet documentation for configuration settings
Parameters: - ibs (wbia.IBEISController) – image analysis api
- gid_list (list of int) – the list of IBEIS image_rowids that need detection
- downsample (bool, optional) – a flag to indicate if the original image sizes should be used; defaults to True
- Kwargs:
- detector, config_filepath, weights_filepath, verbose
Yields: tuple – (gid, gpath, result_list) - CommandLine:
- python -m wbia.algo.detect.yolo detect_gid_list –show
Example
>>> # DISABLE_DOCTEST >>> from wbia.algo.detect.yolo import * # NOQA >>> from wbia.core_images import LocalizerConfig >>> import wbia >>> ibs = wbia.opendb(defaultdb='WS_ALL') >>> gid_list = ibs.images()._rowids[0:1] >>> kwargs = config = LocalizerConfig(**{ >>> 'weights_filepath': '/media/raid/work/WS_ALL/localizer_backup/detect.yolo.2.39000.weights', >>> 'config_filepath': '/media/raid/work/WS_ALL/localizer_backup/detect.yolo.2.cfg', >>> }) >>> exec(ut.execstr_dict(config), globals()) >>> #classes_fpath = '/media/raid/work/WS_ALL/localizer_backup/detect.yolo.2.cfg.classes' >>> downsample = False >>> (gid, gpath, result_list) = detect_gid_list(ibs, gid_list, downsample, **config) >>> result = ('(gid, gpath, result_list) = %s' % (ut.repr2((gid, gpath, result_list)),)) >>> print(result) >>> ut.quit_if_noshow() >>> import wbia.plottool as pt >>> ut.show_if_requested()
Yields: results (list of dict)
Module contents¶
-
wbia.algo.detect.
IMPORT_TUPLES
= [('grabmodels', None), ('randomforest', None), ('yolo', None)]¶ cd /Users/bluemellophone/code/wbia/wbia/algo/detect makeinit.py –modname=wbia.algo.detect
Type: Regen Command
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wbia.algo.detect.
reassign_submodule_attributes
(verbose=True)[source]¶ why reloading all the modules doesnt do this I don’t know
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wbia.algo.detect.
rrrr
(verbose=True)¶ Reloads wbia.algo.detect and submodules


Bloomberg News will not investigate Michael Bloomberg or Democratic rivals
by ReutersBloomberg News said on Sunday it will not investigate its founder and former New York mayor, Michael Bloomberg, after he launched his candidacy for the Democratic primaries, continuing a policy of limiting coverage of its top executive.
Bloomberg will still do initiative and investigative reporting on US President Donald Trump and will revisit its policy on Bloomberg if he wins the primaries, Bloomberg Editor-in-Chief John Micklethwait wrote in a memo to staff obtained by Reuters.
Bloomberg officially joined the 2020 Democratic presidential race on Sunday, becoming the 18th candidate to join a crowded field of contenders hoping to challenge Trump in the November 2020 election.
“We will continue our tradition of not investigating Mike (and his family and foundation) and we will extend the same policy to his rivals in the Democratic primaries,” Micklethwait wrote in the memo.
The news organization will continue to investigate the Trump administration “as the government of the day,” he wrote.
Micklethwait also wrote that some of the editorial board members responsible for editorials will take a leave of absence to join Bloomberg’s presidential campaign.
“We will suspend the Board, so there will be no unsigned editorials,” Micklethwait said in the memo.
A spokeswoman for Bloomberg News did not have further comment. Bloomberg, which competes with Thomson Reuters, receives the bulk of its revenue from terminal sales to financial institutions.


---
title: "Multiselect"
date: 2021-04-29T16:00:58+02:00
draft: false
main_title: "Tailwind multiselect"
subheading: ""
seo_title: "Tailwind multiselect form - examples & templates"
description: "Responsive multiselect built with Tailwind. Unlike a normal select, multiselect allows the user to select multiple options at once"
image: ""
video: ""
url: "/docs/standard/components/multiselect/"
menu:
forms:
name: "Multiselect"
---
{{< example lang="html" title="Basic example">}}
{{< /example>}}


Jose Mourinho confides in friends over stance on potential Tottenham and Real Madrid job offers
by Magnus EriksenFormer Manchester United manager Jose Mourinho has reportedly told friends his stance on potentially taking up job offers from Tottenham and Real Madrid.
The Portuguese tactician has been out of work for close to a year since he left United last season, and some have questioned if he could still land himself a job at the highest level of the game after such disastrous ends to his time at Old Trafford and at Chelsea before that.
MORE: Club ready to launch £68million-plus-player transfer bid for Manchester United star
However, one can imagine Tottenham being tempted by the experienced and proven winner, especially given their struggles under Mauricio Pochettino at the moment.
And in a possible boost for Spurs, it seems Mourinho would possibly be prepared to turn down big offers like one from Real Madrid in order to wait for a vacancy in north London, according to the Sun.
The report explains that Mourinho is confident Real will be in touch if and when they get rid of current manager Zinedine Zidane, but it seems he’s not necessarily going to jump at the chance of a return to the Bernabeu.
It will now be interesting to see how much longer Tottenham persist with Pochettino, who, as good a manager as he is, looks perhaps to have taken the club as far as he can.


Flags which affect the behavior of PxShapes.
More...
#include <PxShape.h>
Flags which affect the behavior of PxShapes.
- See also
- PxShape PxShape.setFlag()
◆ Enum
| Enumerator |
|---|
| eSIMULATION_SHAPE | The shape will partake in collision in the physical simulation.
- Note
- It is illegal to raise the eSIMULATION_SHAPE and eTRIGGER_SHAPE flags. In the event that one of these flags is already raised the sdk will reject any attempt to raise the other. To raise the eSIMULATION_SHAPE first ensure that eTRIGGER_SHAPE is already lowered.
-
This flag has no effect if simulation is disabled for the corresponding actor (see PxActorFlag::eDISABLE_SIMULATION).
- See also
- PxSimulationEventCallback.onContact() PxScene.setSimulationEventCallback() PxShape.setFlag(), PxShape.setFlags()
|
| eSCENE_QUERY_SHAPE | The shape will partake in scene queries (ray casts, overlap tests, sweeps, ...).
|
| eTRIGGER_SHAPE | The shape is a trigger which can send reports whenever other shapes enter/leave its volume.
- Note
- Triangle meshes and heightfields can not be triggers. Shape creation will fail in these cases.
-
Shapes marked as triggers do not collide with other objects. If an object should act both as a trigger shape and a collision shape then create a rigid body with two shapes, one being a trigger shape and the other a collision shape. It is illegal to raise the eTRIGGER_SHAPE and eSIMULATION_SHAPE flags on a single PxShape instance. In the event that one of these flags is already raised the sdk will reject any attempt to raise the other. To raise the eTRIGGER_SHAPE flag first ensure that eSIMULATION_SHAPE flag is already lowered.
-
Trigger shapes will no longer send notification events for interactions with other trigger shapes.
-
Shapes marked as triggers are allowed to participate in scene queries, provided the eSCENE_QUERY_SHAPE flag is set.
-
This flag has no effect if simulation is disabled for the corresponding actor (see PxActorFlag::eDISABLE_SIMULATION).
- See also
- PxSimulationEventCallback.onTrigger() PxScene.setSimulationEventCallback() PxShape.setFlag(), PxShape.setFlags()
|
| eVISUALIZATION | Enable debug renderer for this shape.
- See also
- PxScene.getRenderBuffer() PxRenderBuffer PxVisualizationParameter
|
The documentation for this struct was generated from the following file:


Data for {{Geography}} submitted via Blue Community Assessment App
Blue Community Assessment
{{About Section}}
{{Geography}}
|
Cover |
{{Cover}} |
|
About This Section |
{{About This Section}} |
|
113. How many marinas are in your community? |
{{113. How many marinas are in your community?}} |
|
113a. 🔢 |
{{113a. 🔢}} |
|
113b. 🔗Source |
{{113b. 🔗Source}} |
|
114. How many marinas in your community are certified as Clean Marinas? |
{{114. How many marinas in your community are certified as Clean Marinas?}} |
|
114a. 🔢 |
{{114a. 🔢}} |
|
114b. 🔗Source |
{{114b. 🔗Source}} |
|
115. Reference Images for this Section |
{{115. Reference Images for this Section}} |
|
115a. 📸 |
{{115a. 📸}} |
|
115b. 📸 |
{{115b. 📸}} |
|
115c. 📸 |
{{115c. 📸}} |
|
Last Edited |
{{Last Edited}} |
|
Last Edited By |
{{Last Edited By}} |
|
Notes for Stakeholders |
{{Notes for Stakeholders}} |


Congratulations! You passed the comprehension checks.
Click below to start the game!
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{% extends "base.html" %} {% block extra_head %} {% endblock %} {% block content %}
Sign up for a free account and gain access to a whole host of SomCom Apps for your business.
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{% endif %}


Global NL Database
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With your trusty notebook, binoculars and watch, you've gathered information on the suspect's activities. At around 6:30PM on Tuesday night, suspect Yvonne Kung was seen entering their apartment building. Consult your notes to organize the data you've collected.
Click through each category to see activities organized by type.
Drag and drop a time onto the clock face to inspect suspect's activities at that time.


{% comment%}
For use in environments where the data for the particular article has been
assigned to the `post` variable, as in when looping over `paginator.posts`
or when the line `{% assign post = page %}`. This makes this usable in both
the index page or a normal post page.
{% endcomment%}
{% capture titlecased %}{% if site.titlecase %}{{ post.title | titlecase }}{% else %}{{ post.title }}{% endif %}{% endcapture %}
{{ titlecased }}
{% else %}
{{ titlecased }}
{% endif %}


MuN
Music Notifier
Got tired of missing out on releases from your favourite artists?
You have found a perfect solution...
{% extends 'base.html' %} {% load static %} {% block head %}
Got tired of missing out on releases from your favourite artists?
You have found a perfect solution...


Why we do what we do?
Note the lack of the which disables the zooming aspect of sites in mobile devices. In addition, we reset our container's width and are basically good to go.
As a heads up, the navbar component is rather tricky here in that the styles for displaying it are rather specific and detailed. Overrides to ensure desktop styles display are not as performant or sleek as one would like. Just be aware there may be potential gotchas as you build on top of this example when using the navbar.
How we do what we do
Note the lack of the which disables the zooming aspect of sites in mobile devices. In addition, we reset our container's width and are basically good to go.
As a heads up, the navbar component is rather tricky here in that the styles for displaying it are rather specific and detailed. Overrides to ensure desktop styles display are not as performant or sleek as one would like. Just be aware there may be potential gotchas as you build on top of this example when using the navbar.


{% extends "layout.html" %} {% block page_title %} Allocation history - manage your education and skills funding - GOV.UK {% endblock %} {% block content %} {% include version + "/includes/phase_banner_beta.html" %} {% include version + "/includes/idams-account-header.html" %} Home Allocation statements Allocation statements You don't have any digital allocation statements yet. If you have a Secure Access account, past statements can be viewed and downloaded using DfE Sign in. {% endblock %}
You don't have any digital allocation statements yet. If you have a Secure Access account, past statements can be viewed and downloaded using DfE Sign in.


Velocity is easy to use! A quick way to get started is to skim the references below, then look at the examples and source provided in the distribution. For developers writing web-based applications, the Web Application Guide is highly recommended!
You can download the latest release version of Velocity or Velocity Tools from the main Apache Velocity download site. For Velocity itself, source is included with the binary download.
If you want to download the latest source, you can do so via the Subversion (svn) source control system, or download a complete nightly snapshot.
Instructions for building Velocity from source can be found in the Build document.
Our API documentation is available online , as part of the distribution package , and of course, you can generate it yourself from the included source code.
If you would like to create a full set
of detailed API documentation for Velocity, go to the
build
directory and run:
ant javadocs
The docs will be found in the /bin/apidocs/
directory.
Note: Velocity uses the Apache Ant build tool for all code and documentation generation, so you will need to have it installed. Velocity requires at least Apache Ant 1.6.


Depending on the current layout and display size, the flexible column layout consists of one, two, or three
horizontally-aligned columns. Each column contains content that is not provided by the flexible column
layout itself. This content is passed to the component through ng-template
and using the
template references #startColumn
, #midColumn
and #endColumn
.
'OneColumnStartFullScreen'
'OneColumnMidFullScreen'
'OneColumnEndFullScreen'
'TwoColumnsStartExpanded'
'TwoColumnsMidExpanded'
'TwoColumnsEndExpanded'
'ThreeColumnsMidExpanded'
'ThreeColumnsEndExpanded'
'ThreeColumnsStartMinimized'
'ThreeColumnsEndMinimized'
Possible variations - 'OneColumnStartFullScreen', 'OneColumnMidFullScreen', 'OneColumnEndFullScreen', 'TwoColumnsStartExpanded', 'TwoColumnsMidExpanded', 'ThreeColumnsMidExpanded', 'ThreeColumnsEndExpanded', 'ThreeColumnsStartMinimized' and 'ThreeColumnsEndMinimized'.
There is no 3-column layout due to the limited width. However, you can still load 3 pages in size MD. Instead of showing them all side-by-side, the user can switch between columns 1/2 and 2/3 using 'ThreeColumnsStartMinimized' and 'ThreeColumnsEndMinimized'.
Possible variations - 'OneColumnStartFullScreen', 'OneColumnMidFullScreen', 'OneColumnEndFullScreen', 'TwoColumnsStartExpanded', 'TwoColumnsMidExpanded', 'TwoColumnsEndExpanded', 'ThreeColumnsStartMinimized' and 'ThreeColumnsEndMinimized'.
Because of the limited width, there is no multi-column layout for size SM. Instead, the rightmost column is shown in full screen mode.
Possible variations - 'OneColumnStartFullScreen', 'OneColumnMidFullScreen' and 'OneColumnEndFullScreen'.
Note: The column separators cannot be used to expand a column to full screen mode. The layout arrow is located next to the divider and points in the direction in which a column can be expanded. If a column cannot be expanded any further, the action is hidden.
The user cannot change the size of a column freely (for example, (start: 15%, mid: 85%, end: 0)).
For more information about Layouts visit the Fiori Design Guidelines.
The navigation through the flexible column layout (forward and backwards), as well as the actions for
entering and exiting full screen mode and closing columns are not provided automatically by the flexible
column layout control, and need to be implemented manually. This can be done by reacting to events, such as
button click, and updating the [layout]
property of the
fd-flexible-column-layout
with the desired value. The same [layout]
property is
used to specify the inital layout of the component.
For example, setting [layout]="'TwoColumnsMidExpanded'"
will render a 2-column layout with
middle column expanded.
For available navigation and close sequences visit the Fiori Design Guidelines.
The flexible column layout changes its behavior for sizes LG, MD and SM in real time whenever the user resizes the screen. For more information visit the Responsiveness section of Fiori Design Guidelines.
By default, the Flexible Column Layout applies the Fiori break points:
The component also provides a default behaviour for managing the screen resizing.
To overwrite the default breakpoints use the smBreakPoint
and lgBreakPoint
properties. It's also possible to provide a custom function that will handle the resizing of the screen. Use
the
customOnResizeFunction
property to overwrite the default behaviour.
The backgroundDesign
property specifies the background design of the column layout. The default
is set to "solid". The other two options include "translucent" and "transparent".


About us
Action
Another action
Something else here
Separated link
Dropdown 2
Action
Another action
Something else here
Separated link


Nía School / Sulkin Askenazi
- | Translated by Emma Johansson
- less than a minute
Elementary & Middle School · Mexico City, Mexico
- version="1.0" encoding="UTF-8"? Architects: Sulkin Askenazi
- AreaArea of this architecture projectArea: 605.0 m2
- version="1.0" encoding="UTF-8"?YearCompletion year of this architecture project Year: 2019
- version="1.0" encoding="UTF-8"?PhotographsPhotographs: Aldo C. Gracia
- version="1.0" encoding="UTF-8"?ManufacturersBrands with products used in this architecture project Manufacturers: ALFOMBRAS Y PISOS D.F., Arca, AutoDesk, Chaos Group, Interceramic, Maderas Finas, Trimble, Urban Deco, Verolegno
- Design Team Jack Sulkin, Gabriel Askenazi, Fernanda Barrera, Ramón Aguilar, Aidee Lorenzo.
- Clients Jaquelin Kalach
- Landscaping Fernanda D’Acosta, Apolinar Flores
- Consults Israel Sierra, GTEC Iluminación
- Collaborators Javier Tepozán, Humberto Olvera, Efrén Ramírez, Jesús Rodriguez, Crivial Cancelería.
More Specs Less Specs
Text description provided by the architects. The 600 m2 learning space, NIA SCHOOL, is created to unlock the creative potential of children between two and eight years old with the use of design. With this first location in Mexico City, we seek to support the growth of children through various environments that allow them to develop their skills through interactive learning.
The area allows children to move freely between different flexible spaces. The setting has spaces for movement in order to exercise the body and mind, as well as two learning rooms that integrate nature into the interior spaces. The lighting systems are designed to create a comfortable and natural environment. The reception has ergonomic furniture for children including wooden buds, seats that resemble nature and shelves at different heights with books that allow the space to become a learning station at all times.
The classrooms have shelves consisting of geometric wooden modules for learning material and a reading space with hexagonal rugs, forming a pleasant and warm learning environment is. This sensory space for movement and cohabiting is achieved through creating a playing environment for exploration, experimentation and discovery. The classroom has soft tactile materials such as cork and oak wood. The learning in the area is achieved with dynamic play using different elements that are made for children to explore, climb, jump and build with, developing different skills.


Reflections
What's your take on the DBC/EDA experience?
Having worked in various software development environments in the last few years, I am quite excited to learn more about how to collaborate, work as part of a team.
What are your impressions?
My impression is that this will be the hardest nine weeks ever but that they will be incredibly valuable for my future and I really want to make the most of the time at EDA.
How do you see yourself engaging with this type of culture?
I'm hoping to meet a lot of other enthusiastic people and to have fun emersing ourselves into the coding exercises and learning tons of new stuff.
Have your expectations of EDA changed? If so, how?
Having been to one of EDA's open days, this is exactly what my expectations were.
Are you excited to participate in this kind of learning environment? Does it make you nervous?
Yes, I am excited about it but like Shereef in the Fireside chat, I'm more on the introverted side and it definitly makes me a little nervous.


CSCI 580 Introduction to Artificial Intelligence - Project 2
By: Randy M. Ledbetter
One last step:please upload your observation sequence file and your sensory and transition probabilities file in accordance with the instructions outlined below.
One or more input files are missing or contain errors


TZSELECT
Section: Linux System Administration (8)
Updated: 2007-05-18
Index
Return to Main Contents
NAME
tzselect - select a timezone
SYNOPSIS
tzselect
DESCRIPTION
The
tzselect
program asks the user for information about the current location,
and outputs the resulting timezone description to standard output.
The output is suitable as a value for the
TZ
environment variable.
All interaction with the user is done via standard input and standard error.
EXIT STATUS
The exit status is zero if a timezone was successfully obtained
from the user, nonzero otherwise.
ENVIRONMENT
- AWK
-
Name of a Posix-compliant
awk
program (default:
awk).
- TZDIR
-
Name of the directory containing timezone data files (default:
/usr/share/zoneinfo).
FILES
- TZDIR/iso3166.tab
-
Table of ISO 3166 2-letter country codes and country names.
- TZDIR/zone.tab
-
Table of country codes, latitude and longitude, TZ values, and
descriptive comments.
- TZDIR/TZ
-
Time zone data file for timezone
TZ.
SEE ALSO
tzfile(5),
zdump(8),
zic(8)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- EXIT STATUS
-
- ENVIRONMENT
-
- FILES
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 02:55:22 GMT, September 18, 2014


public class MobileServiceConnection
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
JSON_CONTENTTYPE
Header value to represent JSON content-type
|
| Constructor and Description |
|---|
MobileServiceConnection(MobileServiceClient client)
Constructor for the MobileServiceConnection
|
| Modifier and Type | Method and Description |
|---|---|
com.google.common.util.concurrent.ListenableFuture<ServiceFilterResponse> |
start(ServiceFilterRequest request)
Execute a request-response operation with a Mobile Service
|
void |
start(ServiceFilterRequest request,
ServiceFilterResponseCallback responseCallback)
Execute a request-response operation with a Mobile Service
|
public static final java.lang.String JSON_CONTENTTYPE
public MobileServiceConnection(MobileServiceClient client)
client
- The client used for communication with the Mobile Servicepublic com.google.common.util.concurrent.ListenableFuture<ServiceFilterResponse> start(ServiceFilterRequest request)
request
- The request to executeresponseCallback
- Callback to invoke after the request is executedpublic void start(ServiceFilterRequest request, ServiceFilterResponseCallback responseCallback)
request
- The request to executeresponseCallback
- Callback to invoke after the request is executed


CUSTOMERS
{{customersCount}}
WASHERS
{{washersCount}}
CMP. ORDERS
{{completedordersCount}}
ACTIVE SERVICES
{{activeServicesCount}}


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How to play: 🌟 Tap anywhere on the screen 🌟 Drag up and down to shape the road 🌟 Don't crash into dangerous obstacles
Nice try! Success is commemorated; failure merely remembered Written by Mark Vasilkov for js13kGames–2017


Huawei's waiver to get a 6-month extension
by YordanHuawei has been officially banned from trading with US companies since May. Back then, the mobile equipment manufacturer was added to the US Bureau of Industry and Security's Entity List, meaning American businesses cannot sell goods to it.
After some time of uncertainty, Huawei received a three-month export waiver, meaning it remains on the list, but US-based companies can still carry out trading with some limitations. Now, the Shenzhen phone maker is looking at another six months of extension.
A spokesperson of the US Commerce Department declined to comment whether the waiver will be extended, but Politico reminded that several rural telecommunications providers are working with Huawei and the ban would seriously hurt their operation.
The temporary export license does not cover companies like Intel, Qualcomm, and Micron since their business relationship classifies as “a national security issue”. Representatives from California have already voiced concerns that such a ban only gives an advantage to competitors from South Korea and Taiwan, which are Samsung and Mediatek.


Spelling
Spelling is a simple web application for studying spelling lists.
Open Now
Instructions (including phone and tablet installation):
- Note: this has been tested on iOS, but not Android. It probably works on Android, but maybe not. It should work on a computer.
- The "Say It" button will say the word you should spell. On iOS and possibly Android, you can't have your phone set to just vibrate -- the ringer must be on for speech synthesis to work.
- Type the word and press enter or tap/click the Check Spelling button. If you're right, you'll go on to the next word. If you're not, it will say "Not quite" and tell you the word again, along with a semi-phonetic version of the word with separated syllables -- this may help you learn the word (or it might not).
- If you can't figure a word out, click/tap the "Show Me" button. This will place the correct spelling in the text entry field. Clicking/tapping "Check Spelling" will then move you to the next word.
- Your progress is charted on the right with a number representing each word. If you get a word right on the first try, it turns green, and you won't see it again this session. If it takes two or more tries, then the number stays black, and you'll review it again the next time through.
- Once you've correctly spelled each word without a mistake, you'll get an alert that you're done, and the app will reset to the first word.
- There are settings options in the upper left (the button with three horizontal lines). You can select the voice, how fast it speaks, and which word list you want to study.
- Installation instructions:
- This web app can be installed as an icon on the home screen of a phone or tablet.
- Android: Open in Chrome. Tap the three dots in the upper right of the browser and select "Add to Home screen."
- iOS: Open in Safari. In the browser controls, tap the icon that's a square with an arrow coming up out of it. Scroll over and select "Add to Home Screen."
- Note: Web apps are finicky about updates. In theory, if you have an active internet connection and open the app and there's a new version available, then the next time you launch the app, the new version will be up . . . but not always. You may need to uninstall the app from your home screen, visit the app URL again in your browser, hit refresh a couple times, and re-install the icon on your home screen. Then, launch it from your home screen, quit it, and launch it again. That usually gets it to update for me.


- sample() - Method in class gmc_hdfs.distribution.ParetoDistribution
- SCHEDULED_FOR_REPAIR - Static variable in class hdfs.replicationsimulator.SimTrace
-
- selection(int, int) - Method in class gmc_hdfs.replicationsimulator.ReplicationMap
-
It is the combination formula.
- sendHeartbeat(int, int) - Method in class hdfs.replicationsimulator.AllDatanode
-
- setAllDatanode(AllDatanode) - Method in class gmc_hdfs.replicationsimulator.Datacenter
-
- setCapacity(int, int) - Method in class gmc_hdfs.replicationsimulator.DataitemInfo
-
- setCreationTime(long) - Method in class gmc_hdfs.replicationsimulator.Dataitem
-
- setCutDatacenter(int) - Method in class hdfs.replicationsimulator.Event
-
- setDatacenter_1(Datacenter) - Method in class gmc_hdfs.replicationsimulator.Link
-
- setDatacenter_2(Datacenter) - Method in class gmc_hdfs.replicationsimulator.Link
-
- setDatacenterId(int) - Method in class gmc_hdfs.replicationsimulator.User
-
- setDatacenterId(int) - Method in class hdfs.replicationsimulator.Datanode
-
- setDatacenterId(int) - Method in class hdfs.replicationsimulator.DatanodeInfo
-
- setDatacenterId(int) - Method in class hdfs.replicationsimulator.DatanodesMap
-
- setDataitemID(int) - Method in class gmc_hdfs.replicationsimulator.Request
-
- setDataitemId(int) - Method in class hdfs.replicationsimulator.Block
-
- setDistanceUserFromData(long) - Method in class hdfs.replicationsimulator.Namenode
-
- setDownloadingTime(long) - Method in class hdfs.replicationsimulator.Datanode
-
- setFailNodeInfo(DatanodeInfo) - Method in class hdfs.replicationsimulator.Block
-
- setFailTime(long) - Method in class hdfs.replicationsimulator.Block
-
- setFailTime(long) - Method in class hdfs.replicationsimulator.SimTrace
-
- setGeographicalZone(GeographicalZone) - Method in class gmc_hdfs.replicationsimulator.Datacenter
-
- setGeographicalZone(GeographicalZone) - Method in class gmc_hdfs.replicationsimulator.User
-
- setId(int) - Method in class gmc_hdfs.replicationsimulator.Datacenter.Router
-
- setId(int) - Method in class gmc_hdfs.replicationsimulator.Datacenter
-
- setId(int) - Method in class gmc_hdfs.replicationsimulator.Dataitem
-
- setId(long) - Method in class gmc_hdfs.replicationsimulator.Request
-
- setId(int) - Method in class gmc_hdfs.replicationsimulator.User
-
- setId(int) - Method in class hdfs.replicationsimulator.Block
-
- setId(int) - Method in class hdfs.replicationsimulator.Datanode
-
- setId(int) - Method in class hdfs.replicationsimulator.DatanodeInfo
-
- setIsFailBolck(int) - Method in class hdfs.replicationsimulator.Event
-
- setIsHandle(boolean) - Method in class hdfs.replicationsimulator.Event
-
- setLastHB(long) - Method in class hdfs.replicationsimulator.Datanode
-
- setLastHB(long) - Method in class hdfs.replicationsimulator.DatanodeInfo
-
- setLastUpdateTime(double) - Method in class gmc_hdfs.replicationsimulator.Dataitem
-
- setName(String) - Method in class gmc_hdfs.replicationsimulator.Dataitem
-
- setNamenode(Namenode) - Method in class gmc_hdfs.replicationsimulator.Datacenter
-
- setNeighbours(List<Datacenter>) - Method in class gmc_hdfs.replicationsimulator.Datacenter
-
- setNumberOfRead(long) - Method in class hdfs.replicationsimulator.Namenode
-
- setNumberOfReplicaRead(long) - Method in class hdfs.replicationsimulator.Namenode
-
- setOwner(int[]) - Method in class gmc_hdfs.replicationsimulator.Dataitem
-
- setOwnerforDataitem(int) - Method in class gmc_hdfs.replicationsimulator.Dataitem
-
Set user who identified by id as owner of data item
- setRemainCapacity(int) - Method in class hdfs.replicationsimulator.DatanodeInfo
-
- setRequestType(RequestType) - Method in class gmc_hdfs.replicationsimulator.Request
-
- setSeed(long) - Static method in class gmc_hdfs.distribution.StdRandom
-
Sets the seed of the pseudorandom number generator.
- setShare(boolean) - Method in class gmc_hdfs.replicationsimulator.Dataitem
-
- setSize(int) - Method in class gmc_hdfs.replicationsimulator.Dataitem
-
- setSize(int) - Method in class hdfs.replicationsimulator.Block
-
- setTime(long) - Method in class gmc_hdfs.replicationsimulator.Request
-
- setTrafficConsumption(long) - Method in class gmc_hdfs.replicationsimulator.ReplicationManager
-
- setUploadingTime(long) - Method in class hdfs.replicationsimulator.Datanode
-
- setUser(User) - Method in class gmc_hdfs.replicationsimulator.Request
-
- shuffle(Object[]) - Static method in class gmc_hdfs.distribution.StdRandom
-
Rearranges the elements of the specified array in uniformly random order.
- shuffle(double[]) - Static method in class gmc_hdfs.distribution.StdRandom
-
Rearranges the elements of the specified array in uniformly random order.
- shuffle(int[]) - Static method in class gmc_hdfs.distribution.StdRandom
-
Rearranges the elements of the specified array in uniformly random order.
- shuffle(Object[], int, int) - Static method in class gmc_hdfs.distribution.StdRandom
-
Rearranges the elements of the specified subarray in uniformly random
order.
- shuffle(double[], int, int) - Static method in class gmc_hdfs.distribution.StdRandom
-
Rearranges the elements of the specified subarray in uniformly random
order.
- shuffle(int[], int, int) - Static method in class gmc_hdfs.distribution.StdRandom
-
Rearranges the elements of the specified subarray in uniformly random
order.
- SimFileGenerator - Class in hdfs.replicationsimulator
-
- SimFileGenerator() - Constructor for class hdfs.replicationsimulator.SimFileGenerator
-
- SimTrace - Class in hdfs.replicationsimulator
-
- SimTrace(long, String) - Constructor for class hdfs.replicationsimulator.SimTrace
-
- SimTrace(int, int, int, long, long) - Constructor for class hdfs.replicationsimulator.SimTrace
-
- SimTrace(int, int, int, long) - Constructor for class hdfs.replicationsimulator.SimTrace
-
- SimTrace(int, int, int, long, Long, int, int) - Constructor for class hdfs.replicationsimulator.SimTrace
-
- SimTrace(int, int, int) - Constructor for class hdfs.replicationsimulator.SimTrace
-
- SimTrace(String) - Constructor for class hdfs.replicationsimulator.SimTrace
-
- SimTrace(int, int, int, int, int, long, long) - Constructor for class hdfs.replicationsimulator.SimTrace
-
- SimTrace(int, int, int, int, int, int, int, long) - Constructor for class hdfs.replicationsimulator.SimTrace
-
- Simulator - Class in hdfs.replicationsimulator
-
Object used to Initialize the system.
- Simulator() - Constructor for class hdfs.replicationsimulator.Simulator
-
- size() - Method in class gmc_hdfs.replicationsimulator.DatacentersTopology
-
return number of data centers in system
- size() - Method in class gmc_hdfs.replicationsimulator.DataitemsMap
-
This method shows number of data item in map
- start() - Method in class gmc_hdfs.replicationsimulator.Datacenter.Router
-
This method starts the router
- start() - Method in class gmc_hdfs.replicationsimulator.Datacenter
-
This method starts data center
- start() - Method in class gmc_hdfs.replicationsimulator.DatacentersTopology
-
It starts data center topology
- start() - Method in class gmc_hdfs.replicationsimulator.ReplicationManager
-
This method starts replication manager
- start() - Method in class hdfs.replicationsimulator.AllDatanode
-
Starts the datanodes management thread
- start() - Method in class hdfs.replicationsimulator.Namenode
-
- start() - Static method in class hdfs.replicationsimulator.Simulator
-
- StdRandom - Class in gmc_hdfs.distribution
-
The StdRandom
class provides static methods for generating random
number from various discrete and continuous distributions, including
Bernoulli, uniform, Gaussian, exponential, pareto, Poisson, and Cauchy.
- StdRandom() - Constructor for class gmc_hdfs.distribution.StdRandom
-
- stop() - Method in class hdfs.replicationsimulator.AllDatanode
-
Stops the datanodes management thread
- sumLists(Map<Integer, Integer>, Map<Integer, Integer>) - Method in class gmc_hdfs.replicationsimulator.ReplicationMap
-
This method receives two map and adds the values peer to peer and puts
them in the first map.
- systemAvailability() - Method in class gmc_hdfs.replicationsimulator.ReplicationMap
-
This method calculate system availability.


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As we know there are many vulnerabilities present in the Threads web application so to find out and exploit each of these vulnerabilities are the challenges on Threads application.
Note: (hints are provided under the heading of each challenges in a small paragraph, so read them at your own risks).
Here is the list of all the challenges which a user can solve:
Challenge-1:(Self-XSS)
Hint: Insert a payload under the name of the account (could be done when registering an account or changing the existing account name for the profile section.
Challenge-2:(Directory brute-forcing)
Hint: There is a directory (/management) where we can login as admin with the hardcoded mail which is<EMAIL_ADDRESS>. To Brute Force all the directories you can take help of tool Dirsearch.
Challenge-3:(MongoDB Injection)
Hint : It is present in the search feature of the application where it works like this if the name (exact) matches with the application then it will show that user’s id and its information. Also if you pass {$gt: ‘'} in the search field, it would show all the users as the query which was executing.
Challenge-4:(JWT Authentication)
Note: For JWT challenge, hardcoded email is<EMAIL_ADDRESS>and the password for it is ‘123’. So first make sure that an account exists with the above email id and then try to forge the token.
Hint: The application uses cookie-based authentication but has the support of JWT as well.There is a /management page which has an authentication system which works via JWT API. When logging in to the /management page by providing your credentials, you would see that you are not authorized to log in. Now to become authorized user one has to forge the token of the admin account since its using HMAC so the current secret key is thr3@ds@000t so forge a token with<EMAIL_ADDRESS>can replace the token via burp request and response or just change the token under local storage and refresh the page you should have admin access where you can delete other users.
Challenge-5:(Insecure Direct Object Reference)
Hint: Deleting Comment/Post of any user using BurpSuite (having the UUID).
Challenge-6:(Server-side Request Forgery)
Hint: So it is in the profile section where you can upload your profile picture via URL, its very simple basics SSRF. You can fetch internal files(which exists) on the server like /etc/passwd .Then inspect the profile page and download the updated image you would see the /etc/passwd content .
Challenge-7:(Attribute-XSS)
Hint: Under the profile section, you can change your website link, it would execute only when visited in an unauthenticated state.
Challenge-8:(Cross-site Request Forgery)
Hint: The Threads application is CSRF vulnerable because it does not create anti csrf tokens. So basically as an attacker you can change victims password, name,other information on profile section. You have to send the malicious link to the victim which should be clicked by the victim to perform action in it. The malicious file to change victim’s password is attached to the link he sent.
Solutions
Here are the solution to all the vulnerabilities present on the Threads application:
Solution-1:(Self-XSS)
- The self-xss is present in the name field of the profile section.So go to your profile first.
- In the name field enter a XSS payload .Like >alert(1)
- Click on update to update new credentials. After this you will see that the entered XSS payload getting executed on your browser and it will keep getting executed whenever you will visit your profile section.
Solution-2:(Directory Brute forcing)
- We can use dirsearch tool to perform directory brute forcing on application to find the hidden end point of the application.
- You can install this tool via github and can use command “python3 dirsearch.py -u -e ”. Example : “python3 dirsearch.py -u http://localhost:3000 -e html,php”.
- The http status code 200 is shown on the directories like /home , /management , /users/login.
- These can be accessed by using the endpoint after the domain name in the URL in your browser.
- In http://localhost:3000/management this page opens up.Here you can login as administrator.The hard-coded mail for the admin account is<EMAIL_ADDRESS>.You have to create an account with this mail to login as admin.
Solution-3:(MongoDB Injection)
- The mongoDB injection is present inside the ‘search bar’ of the threads application.
- When you write any username on the search bar and search for it then it passes the query searching for the user with the exact same name in its database. If there is the user present with the exact same name then it will show details about it on your screen.
Solution-4:(JWT Authentication)
- So basically first you have to check whether there is an user account with email<EMAIL_ADDRESS>with password ‘123’ is present because that is the hardcoded email.So first make sure that an account exists with the above email id and then try to forge the token.
- There is a /management page which has an authentication system which works via JWT API .
- Visit this management page in the application and sign in as<EMAIL_ADDRESS>email. Capture this sign-in request going out of your browser with the BurpSuite proxy.
- Open the proxy tab in your BurpSuite to check the outgoing request.Copy this request and send it to the repeater.
- In the repeater tab send that request to check out the response for that request.As you can see in the response section you have got the token written with green ink. Now copy that token and send it to https://jwt.io/ website .
- The JWT token is divided in three parts: algo,payload,signature.
- So basically we have to find out the secret key used in this token in the signature section because the new token which we will make it for the unauthorized user to access the admin section should have the same signature .
- The application matches the signature with the signature present on the server side to give access to our unauthorized user. Mainly we have to fool the application showing them that we are admin and we are entering as admin.
- To crack the secret key inside this token you can use this tool https://github.com/ticarpi/jwt_tool/blob/master/jwt_tool.py .Install this tool via your terminal and perform brute forcing to crack the secret key for the given token.
- To do brute forcing we need a wordlist file (where many passwords are given) which we can use for getting the secret key. So for this application the wordlist file is given on Enciphers github visit this link and save this file. https://github.com/enciphers/WebHacking-Training-Resources/blob/master/jwt-wordlist (I have saved this file with the name of passwd.txt ).
- Now let’s use this tool to find the secret key. Go to your terminal and open wherever you installed that key. Syntax of the command is: “python3 jwt_tool.py [jwt token you got on your BurpSuite] -C -d [the wordlist file you saved]”
- The command is example(according to the jwt token I got and the wordlist file I saved with the name of passwd.txt ): “python3 jwt_tool.py eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJlbWFpbCI6ImFiaGluYXZAZW5jaXBoZXJzLmNvbSIsImlhdCI6MTYwNDY1OTIwNiwiZXhwIjoxNjA0NjY5MjA2fQ.2CrCcllttd02ktDrnUlUFiWj-oHxd4HXvf20yiYAo1M -C -d passwd.txt”.
- As you can see the secret key for the token is thr3@ds@000 . Use this key on https://jwt.io/ website to encode a new token for an unauthorised user.
Solution-5:(IDOR)
- The IDOR is present in the deletion of a post or on the comment of that post.
- As you can see that there is a feature present in the Threads application where a user can delete only and only his post that he has created and also he can delete only his comment that he has made on a post. So a user cannot delete any other users post but as mentioned that there is an IDOR vulnerability in the application.
- This IDOR vulnerability is present in the section of deletion of a post or comment which means we can delete any other users post or comment though it’s not possible with the features inside the application but we can do it with the help of BurpSuite. So open your BurpSuite and connect it with the browser you are working on.
- To solve this vulnerability we need two accounts. So let’s login with our first account (mine first account name is “User1”) and create a post.
- As you can see the post from user1 account has been created.So if you check the sitemap tab present inside the target tab in your BurpSuite will see that all the http requests have been captured. Go to http://localhost:3000 folder section in the target tab, you can see there that the post you created its UUID has been made which is inside the create option in the post folder and also an UUID is created to delete that post which you will find in the delete folder.
- Actually what BurpSuite does is it list all the folder and directories of that website which is being targetted inside the sitemap tab which is present inside the target tab.
- Now let’s login with another account(my second account name is ‘User2’) and create a post.
- For the post created by user2 a create and delete UUID has been created inside the sitemap tab present inside the target tab in the BurpSuite. So as you can see in the delete folder there are two UUID present. The first one is for the post created from user1 account and the second one is for the post created from user2 account.
- Now as you know that user2 can delete only his post which he created according to the feature of the application but as we know IDOR is present so we can delete other users post too. So let’s turn the intercept on in BurpSuite. So we will make the delete request for the post. The BurpSuite will captue this delete request going out of your browser.
- As you can see in the outgoing request the UUID of that post is present which we are going to delete. So before forwarding the request change the UUID to some another users UUID which is present on his post. Currently the given UUID in the request is for the post which user2 created but we will change the UUID with the post created by user1.So copy user1 UUID from the sitemap tab and replace it with the user2 UUID here on the request inside the proxy.
- Forward this request and check that the post made by user1 is successfully deleted while logging into user2 account.
- So basically user2 made his deletion request as a bait so instead of his post UUID he can replace it with user1 UUID and send that deletion request to delete another user post from his account.
Solution-6:(SSRF)
- So there is a simple ssrf which is present in the profile section of this application under the url field which is used for uploading an image via url.
- So the /etc/passwd file is leaking which we have to find out.The /etc/passwd file on Unix systems contains password information. An attacker who has accessed the etc/passwd file may attempt a brute force attack of all passwords on the system. An attacker may attempt to gain access to the etc/passwd file through HTTP, FTP, or SMB. Typically this is done through one of the CGI scripts installed on the server, so this event may be seen in conjunction with other events of that type.
- So go to your profile section the last field the URL on is used to upload an image via URL.
- So now let’s use the file protocol on this field and try to get /etc/passwd file from the server. Use file:///etc/passwd on the url field to fetch the file from the server.
- Update this and open your profile section again and you will see that in the image section there is no image because obviously that was not an url for uploading an image.
- Now save that image by doing right click on it and then clicking on view image button.
- Open your terminal and go to where you have saved that image and open that image file using the nano command “nano [file name]”.
- As you can see now you have access to the /etc/passwd file which you have accessed using file protocol.
Solution-7:(Attribute-XSS)
- This XSS is present inside the profile section inside the website field. It is a stored XSS which is only executable when seen in an unauthenticated state. So first let’s go to the profile section and put a simple javascript XSS payload inside the website field. XSS payload= “>alert(“Hacker”).
- Update the profile and now copy the url for this page shown in your browser.
- After copying open a new private window and paste this url in your browser and enter.
- As you can see the XSS has been executed when we visited from an unauthenticated state.
Solution-8:(CSRF)
- So Threads application is CSRF vulnerable so we can change many things like password,name etc of a victim account just by sending him a malicious html file performing some actions and if he opens it then there will be changes in his account without him knowing about it.
- Like here we can take an example of changing a user’s password. So what we will be going to do as an attacker is to create a html file which will have an action for changing password for that user. So when the victim will open up that html file his password will get changed.
- First just log in as a user. I have logged in as user3 whose password is currently “user”.
- Now as we have logged in as this user(user3) let’s try changing the password through user account only on threads app. So basically like I am user3 right now and I want to change my password to “user@123”. So I will just update it in my profile section. If I check this request going out of my browser for changing password I get to know that for updating the password the application is using the ‘POST’ request.
- So currently my user3 has the password ‘user@123’.
- As you can see in your outgoing request for changing the password the request going out is the ‘POST’ request. Also it was using ‘password’ and ‘confirm_password’ as the hidden parameters in the request which we you will get to know while updating your password.
- So as an attacker we know that the http request which will be sent through the browser is a ‘POST’ request to make changes in the profile section. So now what we will be going to do is make an html document which will perform the action of changing the password when it will be executed.
- So the html document for changing the password should contain fields like:
These are all the challenges present on Threads application which you can solve. Happy learning,Happy hacking!


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Kekropus:
The goal of the journey...
As I told you before, I wanted to know about our fate...
Our 3 great heroes, the Spicula of old, for all their skill are incapable of becoming anything other than what they are.
There can be no improvement, no change. That is what we were made to be, Kamael...and that is the barrier that keeps us from our true fate.
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JACKIE CHAN'S FIRST STRIKE A film review by Scott Renshaw Copyright 1997 Scott Renshaw
(New Line) Starring: Jackie Chan, Jackson Lou, Chen Chun Wu, Jouri Petrov. Screenplay: Stanley Tong, Nick Tramamonte, Greg Melliott, Elliot Tong. Producer: Barbie Tung. Director: Stanley Tong. MPAA Rating: PG-13 (violence, mild profanity). Running Time: 85 minutes. Reviewed by Scott Renshaw.
Try to keep up, there will be a test later: JACKIE CHAN'S FIRST STRIKE is the American theatrical release of the Hong Kong film POLICE STORY 4: FIRST STRIKE, which was the sequel to POLICE STORY 3: SUPERCOP, which was released in America last year as just plain SUPERCOP. Then there was another sequel to SUPERCOP, which also was called POLICE STORY 4 but was more widely known as PROJECT S, though that is something of a tangent. In the earlier POLICE STORY films, Jackie Chan's character was called Chen Chia-chu; now in FIRST STRIKE, he is simply Jackie. The strange re-release patterns inspired by Chan's sudden American popularity has made it nearly impossible to make any sense of the POLICE STORY chronology, if making sense of things like this matter to you. FIRST STRIKE itself makes only a rudimentary kind of sense, but Chan's hair-raising stunts and affable demeanor rarely require much set-up to be enjoyable.
Jackie, a Hong Kong cop, is on an assignment for the American CIA to watch a woman called Natasha (Grishajeva Nonna) as the film opens, a simple enough task on an airplane to the Ukraine. It becomes less simple when Natasha turns out to be smuggling American dollars to a man named Tsui, dollars which will be used to purchase a Ukranian nuclear warhead for sale on the black market. Jackie is soon recruited by a Russian intelligence agent named Gregor (Jouri Petrov) to track down Tsui, and heads to Australia where Tsui's sister Annie (Chen Chun Wu) works at an aquatic theme park. Though Jackie is able to find Annie, he also finds that Tsui's motives are unclear, and that Gregor may have a dark agenda of his own.
FIRST STRIKE is the third Jackie Chan feature in less than a year to get an American release, following RUMBLE IN THE BRONX and SUPERCOP, and it is certainly the biggest production of the three. There are a couple of off-hand references to James Bond in FIRST STRIKE, and that seems to be the vibe director Stanley Tong is going for this time around. A chase sequence involving gun-toting skiers is straight out of FOR YOUR EYES ONLY; the underwater battles in a shark tank with oxygen the most prized possession is vintage THUNDERBALL. The scenery shifts from Hong Kong to the Ukraine to Australia, serving up a few sacrificial vehicles (helicopters, a funeral carriage) for big-time explosions.
Unfortunately, while FIRST STRIKE is the grandest of Chan's American releases, it is also the least charming, for most of the same reasons. Jackie Chan films don't work because of large scale set pieces; they work because Chan himself is extremely personable and because his unmatched fight choreography can make you giddy with pleasure. The moments when Chan gets to show his stuff up close are wonderful -- he flips through windows as though he were made of paper, dances across rooftops, uses an inflatable pool toy to walk quite literally on water. The extended sequence where he takes on four men by turning a broom, papier mache dragon heads and an eight foot ladder into weapons is one of the most spectacular hand-to-hand combat sequences I have ever seen on screen, a combination of martial arts and acrobatics edited with astonishing fluidity. While the more elaborate bits fall flat with ho-hum familiarity, the seven minutes of that one fight sequence make FIRST STRIKE worth seeing.
The very end of that sequence may be just as indicative of what makes a Jackie Chan action film unique. After battling the four opponents to a standstill, Jackie watches a dozen new foes arrive, and slumps to the ground in resignation. As superhuman as Chan can be on screen, he is also quite human in his persona. In one clever scene, Jackie exchanges blows with a massive Russian in typical chop-socky fashion, assumes his standard preparatory fighting stance, then cringes at the punishment he has just absorbed. He doesn't endear himself to the audience by tossing off dreary one-liners; he simply plays a guy, sometimes silly and sometimes embarrassed, who happens to be able to defy gravity. JACKIE CHAN'S FIRST STRIKE is a terminally dopey spy thriller with anyone else in the lead role. Jackie Chan alone is enough to make the thought of FIRST STRIKE 2 -- or is that SUPERCOP 3, or POLICE STORY 5? -- somewhat appealing.
On the Renshaw scale of 0 to 10 fighting Chans: 6.
Visit Scott Renshaw's MoviePage http://www-leland.stanford.edu/~srenshaw Subscribe to receive reviews directly via email See details on the MoviePage
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Arsene Wenger responds to speculation linking ex-Arsenal boss with Bayern Munich job
Arsene Wenger, 70, won three Premier League titles and seven FA Cups during his time as Arsenal manager
by Matt Maltby, https://www.mirror.co.uk/authors/matt-maltby/Former Arsenal manager Arsene Wenger has sensationally thrown his hat into the ring to become the new Bayern Munich manager.
The 70-year-old won three Premier League titles — including in 2003-04 when his 'Invincibles' went unbeaten for an entire season — and seven FA Cups during his time as Gunners' boss.
The legendary Frenchman ultimately saw his 22-year reign come to an emotional conclusion at the end of the 2017/18 campaign, and was replaced by Spanish boss Unai Emery.
He has remained out of managerial work since but has now hinted that he is ready for a stunning return to the dugout with German giants Bayern, who sacked Niko Kovac over the weekend.
When asked whether it is a job that interests him, the French replied: "Of course.
"Coaching is what was my whole life until now. Everybody who has coached will tell you the same. You miss the intensity but some things you miss a lot, some things you don't miss. I enjoy the things I don't miss too much...
"But on the other hand, football games, winning football games, preparing the team for the game, and getting satisfaction and shared emotions. That is something that you miss.
"So of course, yes. I was responsible from 33 years of age and I coached until 69 without interuption. And at a top level.
"It's 36 years without stopping. Even if I miss it, to get out of that pressure for a year was not too bad for me. People who know me well say I'm more relaxed - and it's true."
Bayern parted company with coach Kovac last weekend after 18 months in charge.
A statement on the club website said the decision was by mutual agreement, with the Bundesliga champions down in fourth place having lost 5-1 to Eintracht Frankfurt on Saturday.
Kovac, a former Bayern midfielder, led the side to the league and cup double in May, becoming the first man to achieve the feat as a player and manager.
Former Manchester United and Chelsea manager Jose Mourinho, also out of work, is currently the bookies favourite to take charge at the Allianz Arena.


| Programming with Ophis | ||
|---|---|---|
| <<< Previous | Ophis Command Reference |
Assembler directives are all instructions to the assembler that are not actual instructions. Ophis's set of directives follow.
.advance address: Forces the program counter to be address. Unlike the .org directive, .advance outputs zeroes until the program counter reaches a specified address. Attempting to .advance to a point behind the current program counter is an assemble-time error.
.alias label value: The .alias directive assigns an arbitrary value to a label. This value may be an arbitrary argument, but cannot reference any label that has not already been defined (this prevents recursive label dependencies).
.byte arg [ , arg, ... ]: Specifies a series of arguments, which are evaluated, and strings, which are included as raw ASCII data. The final results of these arguments must be one byte in size. Seperate constants are seperated by comments.
.checkpc address: Ensures that the program counter is less than or equal to the address specified, and emits an assemble-time error if it is not. This produces no code in the final binary - it is there to ensure that linking a large amount of data together does not overstep memory boundaries.
.data [label]: Sets the segment to the segment name specified and disallows output. If no label is given, switches to the default data segment.
.incbin filename: Inserts the contents of the file specified as binary data. Use it to include graphics information, precompiled code, or other non-assembler data.
.include filename: Includes the entirety of the file specified at that point in the program. Use this to order your final sources.
.org address: Sets the program counter to the address specified. This does not emit any code in and of itself, nor does it overwrite anything that previously existed. If you wish to jump ahead in memory, use .advance.
.require filename: Includes the entirety of the file specified at that point in the program. Unlike .include, however, code included with .require will only be inserted once. The .require directive is useful for ensuring that certain code libraries are somewhere in the final binary. They are also very useful for guaranteeing that macro libraries are available.
.space label size: This directive is used to organize global variables. It defines the label specified to be at the current location of the program counter, and then advances the program counter size steps ahead. No actual code is produced. This is equivalent to label: .org ^+size.
.text [label]: Sets the segment to the segment name specified and allows output. If no label is given, switches to the default text segment.
.word arg [ , arg, ... ]: Like .byte, but values are all treated as two-byte values and stored low-end first (as is the 6502's wont). Use this to create jump tables (an unadorned label will evaluate to that label's location) or otherwise store 16-bit data.
.dword arg [ , arg, ...]: Like .word, but for 32-bit values.
.wordbe arg [ , arg, ...]: Like .word, but stores the value in a big-endian format (high byte first).
.dwordbe arg [ , arg, ...]: Like .dword, but stores the value high byte first.
.scope: Starts a new scope block. Labels that begin with an underscore are only reachable from within their innermost enclosing .scope statement.
.scend: Ends a scope block. Makes the temporary labels defined since the last .scope statement unreachable, and permits them to be redefined in a new scope.
.macro name: Begins a macro definition block. This is a scope block that can be inlined at arbitrary points with .invoke. Arguments to the macro will be bound to temporary labels with names like _1, _2, etc.
.macend: Ends a macro definition block.
.invoke label [argument [, argument ...]]: invokes (inlines) the specified macro, binding the values of the arguments to the ones the macro definition intends to read. A shorthand for .invoke is the name of the macro to invoke, backquoted.
The following directives are deprecated, added for compatibility with the old Perl assembler P65. Use the -d option to Ophis to enable them.
.ascii: Equivalent to .byte, which didn't used to be able to handle strings.
.code: Equivalent to .text.
.segment: Equivalent to .text, from when there was no distinction between .text and .data segments.
.address: Equivalent to .word.
.link filename address: Assembles the file specified as if it began at the address specified. This is generally for use in "top-level" files, where there is not necessarily a one-to-one correspondence between file position and memory position. This is equivalent to an .org directive followed by an .include. With the introduction of the .org directive this one is less useful (and in most cases, any .org statement you use will actually be at the top of the .included file).
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Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
The lemon and herbs in this pork schnitzel recipe add a bit of zing to the crunchy coating.
For the potato salad, half-fill a pan with salted water and bring to the boil. Add the potatoes and return to the boil. Cook for 15-18 minutes, or until just tender. Drain in a colander and then rinse under running water until cold.
Mix the mayonnaise, crème fraiche, capers, gherkins and lemon juice in a large bowl until well combined.
Cut each of the potatoes into four chunks and stir into the mayonnaise dressing with the lemon zest. Season, to taste, with salt and freshly ground black pepper. Sprinkle over the parsley.
For the pork schnitzels, sandwich one of the pork loin steaks between two sheets of cling film. Flatten the steak using a rolling pin or meat mallet to an even thickness of 1cm/½in. Remove the cling film and cut the flattened steak in half lengthways. Season on both sides with salt and freshly ground black pepper. Repeat the process with the remaining pork loin steaks.
Beat the egg in a bowl. Sprinkle the flour onto a plate. Mix the breadcrumbs, lemon zest, parmesan, thyme and a good pinch of salt in a shallow bowl until well combined.
Dredge each piece of pork first into the flour, then dip it into the beaten egg, then dredge it in the breadcrumb mixture until completely coated. Repeat the process with the remaining pieces of pork.
Heat the sunflower oil in a large frying pan until a breadcrumb sizzles and turns golden-brown when dropped into it. (Caution: hot oil can be dangerous. Do not leave unattended.)
Add two of the schnitzels to the pan and fry for 2-3 minutes on each side, or until the pork is cooked through and the coating is crisp and golden-brown. Remove from the pan using a pair of tongs and set aside to drain on a warmed plate lined with kitchen paper. Keep warm. Repeat the process with the remaining two pork schnitzels.
To serve, divide the potato salad among four serving plates. Arrange a few watercress leaves alongside each portion and drizzle with a little olive oil. Lay one pork schnitzel alongside.


Specify a complete HTTP URL (for example {{ctrl.suggestUrl}})
Your access method is Browser, this means the URL needs to be accessible from the browser. Your access method is Server, this means the URL needs to be accessible from the grafana backend/server.


Halloween: Readers share pictures of youngsters across Dumbarton and Alexandria
Children dressed to impress and went to town with their spooky outfits.
by Lennox Herald, https://www.dailyrecord.co.uk/authors/lennox-herald/
Guisers across Dumbarton and the Vale dressed to impress last week for Halloween.
We asked our readers to send in pictures of their children in costume and the pictures did not disappoint.
Here is a selection of those sent in to us.
Thanks to everyone who got in touch.


Atletico president Cerezo pleased with Saudi Super Cup
The Rojiblancos chief has no problem with going overseas to play
by FE/Sport ENAtletico Madrid president Enrique Cerezo says he has 'no problem' with playing the Spanish Super Cup in Saudi Arabia, and thinks it's a good moment to show Spanish football's ambition.
"If the RFEF has decided the Super Cup will be played there, we'll play there," said Cerezo after the draw.
"For us it's no problem, beyond getting there and being comfortable, but I imagine that it will be a country that has all the comforts you need to be happy and comfortable there."
He admitted: "Undoubtedly, it's not easy to get there" for the team's fans, and "above all on the days that are the final days of Christmas.
"But like everyone we want Spanish football to have an international reach and I think this is a good moment to show that."


Lesson Plan Title: How to Perform Http Splitting
Concept / Topic To Teach:
This lesson teaches how to perform HTTP Splitting attacks.How the attacks works:
The attacker passes malicious code to the web server together with normal input. A victim application will not be checking for CR (carriage return, also given by %0d or \r) and LF (line feed, also given by %0a or \n)characters. These characters not only give attackers control of the remaining headers and body of the response the application intends to send, but also allows them to create additional responses entirely under their control.General Goal(s):
This lesson has two stages. Stage 1 teaches you how to do HTTP Splitting attacks while stage 2 builds on that to teach you how to elevate HTTP Splitting to Cache Poisoning.


View Source
This example is to show how to draw with offset and count. It is handy to prevent buffer recreation


◆ __init__()
| def swimming_DEM_procedures.Counter.__init__ |
( |
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self, |
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steps_in_cycle = 1 , |
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beginning_step = 1 , |
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is_active = True , |
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is_dead = False |
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) |
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◆ Activate()
| def swimming_DEM_procedures.Counter.Activate |
( |
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self, |
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condition = True |
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) |
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◆ Deactivate()
| def swimming_DEM_procedures.Counter.Deactivate |
( |
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self, |
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condition = True |
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) |
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◆ GetStep()
| def swimming_DEM_procedures.Counter.GetStep |
( |
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self | ) |
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◆ GetStepInCycle()
| def swimming_DEM_procedures.Counter.GetStepInCycle |
( |
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self | ) |
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◆ Kill()
| def swimming_DEM_procedures.Counter.Kill |
( |
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self | ) |
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◆ SetActivation()
| def swimming_DEM_procedures.Counter.SetActivation |
( |
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self, |
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is_active |
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) |
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◆ SuperTick()
| def swimming_DEM_procedures.Counter.SuperTick |
( |
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self, |
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n_ticks = 1 |
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) |
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◆ Switch()
| def swimming_DEM_procedures.Counter.Switch |
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self, |
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condition = None |
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) |
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◆ Tick()
| def swimming_DEM_procedures.Counter.Tick |
( |
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self | ) |
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◆ accumulated_ticks
| swimming_DEM_procedures.Counter.accumulated_ticks |
◆ beginning_step
| swimming_DEM_procedures.Counter.beginning_step |
◆ is_active
| swimming_DEM_procedures.Counter.is_active |
◆ is_dead
| swimming_DEM_procedures.Counter.is_dead |
◆ step
| swimming_DEM_procedures.Counter.step |
◆ step_in_cycle
| swimming_DEM_procedures.Counter.step_in_cycle |
◆ steps_in_cycle
| swimming_DEM_procedures.Counter.steps_in_cycle |
The documentation for this class was generated from the following file:
- /home/runner/work/Documentation/Documentation/master/applications/SwimmingDEMApplication/python_scripts/swimming_DEM_procedures.py


The Big Oxmox advised her not to do so, because there were thousands of bad Commas, wild Question Marks and devious Semikali, but the Little Blind Test didnt listen.
She packed her seven versalia, put initial into the belt and made herself on the way.
When she reached the first hills of the Italic Mountains, she had a last view back on the way.


The Pomodoro Timer efficiently splits your workflow into a 25-minutes working session and a 5-minutes break. Relaxing Clock can also set a longer 45/15-minutes session if you really are an hard-worker


Scuderia Ferrari
Written by John Smith on February 12, 2017.
Business
Internet
Scuderia Ferrari is the racing division of luxury Italian auto manufacturer, Ferrari S.p.A., and the racing team that competes in Formula One racing. The team is also nicknamed "The Prancing Horse", with reference to their logo. It is the oldest surviving and most successful Formula One team, having competed in every world championship since the 1950 Formula One season.
The team was founded by Enzo Ferrari, initially to race cars produced by Alfa Romeo, though by 1947 Ferrari had begun building its own cars. Among its important achievements outside Formula One are winning the World Sportscar Championship, 24 Hours of Le Mans, 24 Hours of Daytona, 12 Hours of Sebring, races for Grand tourer cars and racing on road courses of the Targa Florio, the Mille Miglia and the Carrera Panamericana.
As a constructor, Ferrari has a record 16 Constructors' Championships, the last of which was won in 2008. Alberto Ascari, Juan Manuel Fangio, Mike Hawthorn, Phil Hill, John Surtees, Niki Lauda , Jody Scheckter, Michael Schumacher and Kimi Raikkonen have won a record 15 Drivers' Championships for the team. Since Räikkönen's title in 2007 the team narrowly lost out on the 2008 drivers' title with Felipe Massa and the 2010 and 2012 drivers' titles with Fernando Alonso. Schumacher is the team's most successful driver. Joining the team in 1996 and departing in 2006 he won five drivers' titles and 72 Grands Prix for the team. His titles came consecutively between 2000 and 2004. Including the constructors' title of 1999 consecutively being won until the end of 2004, this was the team's most successful period. Currently, World Champions Kimi Raikkonen and Sebastian Vettel are the two main race drivers. The team is also known for its passionate support base known as the tifosi. The Italian Grand Prix at Monza is regarded as the team's home race.