body stringlengths 26 98.2k | body_hash int64 -9,222,864,604,528,158,000 9,221,803,474B | docstring stringlengths 1 16.8k | path stringlengths 5 230 | name stringlengths 1 96 | repository_name stringlengths 7 89 | lang stringclasses 1
value | body_without_docstring stringlengths 20 98.2k |
|---|---|---|---|---|---|---|---|
def ValidateSingleFile(input_api, output_api, file_obj, cwd, results):
'Does corresponding validations if histograms.xml or enums.xml is changed.\n\n Args:\n input_api: An input_api instance that contains information about changes.\n output_api: An output_api instance to create results of the PRESUBMIT check... | 8,915,752,243,759,788,000 | Does corresponding validations if histograms.xml or enums.xml is changed.
Args:
input_api: An input_api instance that contains information about changes.
output_api: An output_api instance to create results of the PRESUBMIT check.
file_obj: A file object of one of the changed files.
cwd: Path to current workin... | tools/metrics/histograms/PRESUBMIT.py | ValidateSingleFile | Ron423c/chromium | python | def ValidateSingleFile(input_api, output_api, file_obj, cwd, results):
'Does corresponding validations if histograms.xml or enums.xml is changed.\n\n Args:\n input_api: An input_api instance that contains information about changes.\n output_api: An output_api instance to create results of the PRESUBMIT check... |
def CheckChange(input_api, output_api):
'Checks that histograms.xml is pretty-printed and well-formatted.'
results = []
cwd = input_api.PresubmitLocalPath()
xml_changed = False
for file_obj in input_api.AffectedTextFiles():
is_changed = ValidateSingleFile(input_api, output_api, file_obj, cwd... | -6,462,003,374,697,380,000 | Checks that histograms.xml is pretty-printed and well-formatted. | tools/metrics/histograms/PRESUBMIT.py | CheckChange | Ron423c/chromium | python | def CheckChange(input_api, output_api):
results = []
cwd = input_api.PresubmitLocalPath()
xml_changed = False
for file_obj in input_api.AffectedTextFiles():
is_changed = ValidateSingleFile(input_api, output_api, file_obj, cwd, results)
xml_changed = (xml_changed or is_changed)
i... |
def test_randomizer_basic(self):
'\n Test functionality of basic randomizer.\n '
randomizer = EnvParameterRandomizer(DummyEnvParameter())
assert (len(randomizer.get_parameters()) == 3)
with self.assertRaises(AssertionError):
randomizer.register_parameter(DummyRandomizerParameter('a... | 6,277,896,458,699,098,000 | Test functionality of basic randomizer. | robogym/randomization/tests/test_randomization.py | test_randomizer_basic | 0xflotus/robogym | python | def test_randomizer_basic(self):
'\n \n '
randomizer = EnvParameterRandomizer(DummyEnvParameter())
assert (len(randomizer.get_parameters()) == 3)
with self.assertRaises(AssertionError):
randomizer.register_parameter(DummyRandomizerParameter('a', 1))
randomizer.register_paramete... |
def __init__(self, model, name=None, category=None, endpoint=None, url=None, static_folder=None, menu_class_name=None, menu_icon_type=None, menu_icon_value=None):
'\n Constructor\n\n :param model:\n Model class\n :param name:\n Display name\n ... | -1,822,298,911,502,670,000 | Constructor
:param model:
Model class
:param name:
Display name
:param category:
Display category
:param endpoint:
Endpoint
:param url:
Custom URL
:param menu_class_name:
Optional class name for the menu item.
:param menu_icon_type:
Optional icon. Possible icon types:
- `flask_admin.c... | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | __init__ | hexlism/css_platform | python | def __init__(self, model, name=None, category=None, endpoint=None, url=None, static_folder=None, menu_class_name=None, menu_icon_type=None, menu_icon_value=None):
'\n Constructor\n\n :param model:\n Model class\n :param name:\n Display name\n ... |
def _refresh_cache(self):
'\n Refresh cache.\n '
if (self.form_subdocuments is None):
self.form_subdocuments = {}
self._form_subdocuments = convert_subdocuments(self.form_subdocuments)
super(ModelView, self)._refresh_cache() | 3,943,640,994,616,751,000 | Refresh cache. | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | _refresh_cache | hexlism/css_platform | python | def _refresh_cache(self):
'\n \n '
if (self.form_subdocuments is None):
self.form_subdocuments = {}
self._form_subdocuments = convert_subdocuments(self.form_subdocuments)
super(ModelView, self)._refresh_cache() |
def _process_ajax_references(self):
'\n AJAX endpoint is exposed by top-level admin view class, but\n subdocuments might have AJAX references too.\n\n This method will recursively go over subdocument configuration\n and will precompute AJAX references for them ensuring th... | 6,137,773,626,474,018,000 | AJAX endpoint is exposed by top-level admin view class, but
subdocuments might have AJAX references too.
This method will recursively go over subdocument configuration
and will precompute AJAX references for them ensuring that
subdocuments can also use AJAX to populate their ReferenceFields. | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | _process_ajax_references | hexlism/css_platform | python | def _process_ajax_references(self):
'\n AJAX endpoint is exposed by top-level admin view class, but\n subdocuments might have AJAX references too.\n\n This method will recursively go over subdocument configuration\n and will precompute AJAX references for them ensuring th... |
def _get_model_fields(self, model=None):
'\n Inspect model and return list of model fields\n\n :param model:\n Model to inspect\n '
if (model is None):
model = self.model
return sorted(iteritems(model._fields), key=(lambda n: n[1].creation_counter)) | 707,176,458,598,894,100 | Inspect model and return list of model fields
:param model:
Model to inspect | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | _get_model_fields | hexlism/css_platform | python | def _get_model_fields(self, model=None):
'\n Inspect model and return list of model fields\n\n :param model:\n Model to inspect\n '
if (model is None):
model = self.model
return sorted(iteritems(model._fields), key=(lambda n: n[1].creation_counter)) |
def get_pk_value(self, model):
'\n Return the primary key value from the model instance\n\n :param model:\n Model instance\n '
return model.pk | 3,359,469,410,447,919,600 | Return the primary key value from the model instance
:param model:
Model instance | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | get_pk_value | hexlism/css_platform | python | def get_pk_value(self, model):
'\n Return the primary key value from the model instance\n\n :param model:\n Model instance\n '
return model.pk |
def scaffold_list_columns(self):
'\n Scaffold list columns\n '
columns = []
for (n, f) in self._get_model_fields():
field_class = type(f)
if ((field_class == mongoengine.ListField) and isinstance(f.field, mongoengine.EmbeddedDocumentField)):
continue
if ... | -1,257,183,833,292,583,000 | Scaffold list columns | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | scaffold_list_columns | hexlism/css_platform | python | def scaffold_list_columns(self):
'\n \n '
columns = []
for (n, f) in self._get_model_fields():
field_class = type(f)
if ((field_class == mongoengine.ListField) and isinstance(f.field, mongoengine.EmbeddedDocumentField)):
continue
if (field_class == mongo... |
def scaffold_sortable_columns(self):
'\n Return a dictionary of sortable columns (name, field)\n '
columns = {}
for (n, f) in self._get_model_fields():
if (type(f) in SORTABLE_FIELDS):
if (self.column_display_pk or (type(f) != mongoengine.ObjectIdField)):
... | -1,914,602,255,142,035,000 | Return a dictionary of sortable columns (name, field) | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | scaffold_sortable_columns | hexlism/css_platform | python | def scaffold_sortable_columns(self):
'\n \n '
columns = {}
for (n, f) in self._get_model_fields():
if (type(f) in SORTABLE_FIELDS):
if (self.column_display_pk or (type(f) != mongoengine.ObjectIdField)):
columns[n] = f
return columns |
def init_search(self):
'\n Init search\n '
if self.column_searchable_list:
for p in self.column_searchable_list:
if isinstance(p, string_types):
p = self.model._fields.get(p)
if (p is None):
raise Exception('Invalid search field')... | -2,954,653,945,820,696,600 | Init search | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | init_search | hexlism/css_platform | python | def init_search(self):
'\n \n '
if self.column_searchable_list:
for p in self.column_searchable_list:
if isinstance(p, string_types):
p = self.model._fields.get(p)
if (p is None):
raise Exception('Invalid search field')
... |
def scaffold_filters(self, name):
'\n Return filter object(s) for the field\n\n :param name:\n Either field name or field instance\n '
if isinstance(name, string_types):
attr = self.model._fields.get(name)
else:
attr = name
if (attr is None):
... | -1,826,513,185,149,695,500 | Return filter object(s) for the field
:param name:
Either field name or field instance | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | scaffold_filters | hexlism/css_platform | python | def scaffold_filters(self, name):
'\n Return filter object(s) for the field\n\n :param name:\n Either field name or field instance\n '
if isinstance(name, string_types):
attr = self.model._fields.get(name)
else:
attr = name
if (attr is None):
... |
def is_valid_filter(self, filter):
'\n Validate if the provided filter is a valid MongoEngine filter\n\n :param filter:\n Filter object\n '
return isinstance(filter, BaseMongoEngineFilter) | -6,644,047,060,746,446,000 | Validate if the provided filter is a valid MongoEngine filter
:param filter:
Filter object | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | is_valid_filter | hexlism/css_platform | python | def is_valid_filter(self, filter):
'\n Validate if the provided filter is a valid MongoEngine filter\n\n :param filter:\n Filter object\n '
return isinstance(filter, BaseMongoEngineFilter) |
def scaffold_form(self):
'\n Create form from the model.\n '
form_class = get_form(self.model, self.model_form_converter(self), base_class=self.form_base_class, only=self.form_columns, exclude=self.form_excluded_columns, field_args=self.form_args, extra_fields=self.form_extra_fields)
retur... | -5,255,561,762,624,256,000 | Create form from the model. | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | scaffold_form | hexlism/css_platform | python | def scaffold_form(self):
'\n \n '
form_class = get_form(self.model, self.model_form_converter(self), base_class=self.form_base_class, only=self.form_columns, exclude=self.form_excluded_columns, field_args=self.form_args, extra_fields=self.form_extra_fields)
return form_class |
def scaffold_list_form(self, custom_fieldlist=ListEditableFieldList, validators=None):
"\n Create form for the `index_view` using only the columns from\n `self.column_editable_list`.\n\n :param validators:\n `form_args` dict with only validators\n {'nam... | 1,362,413,955,699,600,400 | Create form for the `index_view` using only the columns from
`self.column_editable_list`.
:param validators:
`form_args` dict with only validators
{'name': {'validators': [required()]}}
:param custom_fieldlist:
A WTForm FieldList class. By default, `ListEditableFieldList`. | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | scaffold_list_form | hexlism/css_platform | python | def scaffold_list_form(self, custom_fieldlist=ListEditableFieldList, validators=None):
"\n Create form for the `index_view` using only the columns from\n `self.column_editable_list`.\n\n :param validators:\n `form_args` dict with only validators\n {'nam... |
def get_query(self):
'\n Returns the QuerySet for this view. By default, it returns all the\n objects for the current model.\n '
return self.model.objects | -4,986,645,289,561,858,000 | Returns the QuerySet for this view. By default, it returns all the
objects for the current model. | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | get_query | hexlism/css_platform | python | def get_query(self):
'\n Returns the QuerySet for this view. By default, it returns all the\n objects for the current model.\n '
return self.model.objects |
def get_list(self, page, sort_column, sort_desc, search, filters, execute=True):
'\n Get list of objects from MongoEngine\n\n :param page:\n Page number\n :param sort_column:\n Sort column\n :param sort_desc:\n Sort descending\... | -6,554,609,987,189,399,000 | Get list of objects from MongoEngine
:param page:
Page number
:param sort_column:
Sort column
:param sort_desc:
Sort descending
:param search:
Search criteria
:param filters:
List of applied filters
:param execute:
Run query immediately or not | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | get_list | hexlism/css_platform | python | def get_list(self, page, sort_column, sort_desc, search, filters, execute=True):
'\n Get list of objects from MongoEngine\n\n :param page:\n Page number\n :param sort_column:\n Sort column\n :param sort_desc:\n Sort descending\... |
def get_one(self, id):
'\n Return a single model instance by its ID\n\n :param id:\n Model ID\n '
try:
return self.get_query().filter(pk=id).first()
except mongoengine.ValidationError as ex:
flash(gettext('Failed to get model. %(error)s', error=for... | 7,872,424,681,330,008,000 | Return a single model instance by its ID
:param id:
Model ID | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | get_one | hexlism/css_platform | python | def get_one(self, id):
'\n Return a single model instance by its ID\n\n :param id:\n Model ID\n '
try:
return self.get_query().filter(pk=id).first()
except mongoengine.ValidationError as ex:
flash(gettext('Failed to get model. %(error)s', error=for... |
def create_model(self, form):
'\n Create model helper\n\n :param form:\n Form instance\n '
try:
model = self.model()
form.populate_obj(model)
self._on_model_change(form, model, True)
model.save()
except Exception as ex:
if (... | 903,978,773,780,675,300 | Create model helper
:param form:
Form instance | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | create_model | hexlism/css_platform | python | def create_model(self, form):
'\n Create model helper\n\n :param form:\n Form instance\n '
try:
model = self.model()
form.populate_obj(model)
self._on_model_change(form, model, True)
model.save()
except Exception as ex:
if (... |
def update_model(self, form, model):
'\n Update model helper\n\n :param form:\n Form instance\n :param model:\n Model instance to update\n '
try:
form.populate_obj(model)
self._on_model_change(form, model, False)
model... | 764,570,345,739,556,700 | Update model helper
:param form:
Form instance
:param model:
Model instance to update | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | update_model | hexlism/css_platform | python | def update_model(self, form, model):
'\n Update model helper\n\n :param form:\n Form instance\n :param model:\n Model instance to update\n '
try:
form.populate_obj(model)
self._on_model_change(form, model, False)
model... |
def delete_model(self, model):
'\n Delete model helper\n\n :param model:\n Model instance\n '
try:
self.on_model_delete(model)
model.delete()
except Exception as ex:
if (not self.handle_view_exception(ex)):
flash(gettext('Failed... | 3,090,824,996,892,932,000 | Delete model helper
:param model:
Model instance | sleepyenv/lib/python2.7/site-packages/Flask_Admin-1.2.0-py2.7.egg/flask_admin/contrib/mongoengine/view.py | delete_model | hexlism/css_platform | python | def delete_model(self, model):
'\n Delete model helper\n\n :param model:\n Model instance\n '
try:
self.on_model_delete(model)
model.delete()
except Exception as ex:
if (not self.handle_view_exception(ex)):
flash(gettext('Failed... |
def estimate(particles, weights):
'returns mean and variance of the weighted particles'
pos = particles
mean = np.average(pos, weights=weights, axis=0)
var = np.average(((pos - mean) ** 2), weights=weights, axis=0)
return (mean, var) | 1,993,265,891,749,680,400 | returns mean and variance of the weighted particles | 002_Particle_Filter/Particle_Filter.py | estimate | zhyongquan/Automotive-Software-Blog | python | def estimate(particles, weights):
pos = particles
mean = np.average(pos, weights=weights, axis=0)
var = np.average(((pos - mean) ** 2), weights=weights, axis=0)
return (mean, var) |
def test_builder_is_pickled(self):
'Unlike most tree builders, HTMLParserTreeBuilder and will\n be restored after pickling.\n '
tree = self.soup('<a><b>foo</a>')
dumped = pickle.dumps(tree, 2)
loaded = pickle.loads(dumped)
self.assertTrue(isinstance(loaded.builder, type(tree.builder))) | -6,423,651,160,975,675,000 | Unlike most tree builders, HTMLParserTreeBuilder and will
be restored after pickling. | virtual/lib/python3.6/site-packages/bs4/tests/test_htmlparser.py | test_builder_is_pickled | AG371/bus-reservation-system | python | def test_builder_is_pickled(self):
'Unlike most tree builders, HTMLParserTreeBuilder and will\n be restored after pickling.\n '
tree = self.soup('<a><b>foo</a>')
dumped = pickle.dumps(tree, 2)
loaded = pickle.loads(dumped)
self.assertTrue(isinstance(loaded.builder, type(tree.builder))) |
def test_error(self):
"Verify that our HTMLParser subclass implements error() in a way\n that doesn't cause a crash.\n "
parser = BeautifulSoupHTMLParser()
parser.error("don't crash") | -6,519,268,211,641,346,000 | Verify that our HTMLParser subclass implements error() in a way
that doesn't cause a crash. | virtual/lib/python3.6/site-packages/bs4/tests/test_htmlparser.py | test_error | AG371/bus-reservation-system | python | def test_error(self):
"Verify that our HTMLParser subclass implements error() in a way\n that doesn't cause a crash.\n "
parser = BeautifulSoupHTMLParser()
parser.error("don't crash") |
async def async_setup_entry(hass, config_entry, async_add_entities):
'Set up the inverter select entities from a config entry.'
inverter = hass.data[DOMAIN][config_entry.entry_id][KEY_INVERTER]
device_info = hass.data[DOMAIN][config_entry.entry_id][KEY_DEVICE_INFO]
entities = []
for description in N... | -6,143,632,953,803,178,000 | Set up the inverter select entities from a config entry. | homeassistant/components/goodwe/number.py | async_setup_entry | kubawolanin/core | python | async def async_setup_entry(hass, config_entry, async_add_entities):
inverter = hass.data[DOMAIN][config_entry.entry_id][KEY_INVERTER]
device_info = hass.data[DOMAIN][config_entry.entry_id][KEY_DEVICE_INFO]
entities = []
for description in NUMBERS:
try:
current_value = (await de... |
def __init__(self, device_info: DeviceInfo, description: GoodweNumberEntityDescription, inverter: Inverter, current_value: int) -> None:
'Initialize the number inverter setting entity.'
self.entity_description = description
self._attr_unique_id = f'{DOMAIN}-{description.key}-{inverter.serial_number}'
se... | -6,500,139,910,043,170,000 | Initialize the number inverter setting entity. | homeassistant/components/goodwe/number.py | __init__ | kubawolanin/core | python | def __init__(self, device_info: DeviceInfo, description: GoodweNumberEntityDescription, inverter: Inverter, current_value: int) -> None:
self.entity_description = description
self._attr_unique_id = f'{DOMAIN}-{description.key}-{inverter.serial_number}'
self._attr_device_info = device_info
self._att... |
async def async_set_value(self, value: float) -> None:
'Set new value.'
if self.entity_description.setter:
(await self.entity_description.setter(self._inverter, int(value)))
self._attr_value = value
self.async_write_ha_state() | 6,044,406,391,341,202,000 | Set new value. | homeassistant/components/goodwe/number.py | async_set_value | kubawolanin/core | python | async def async_set_value(self, value: float) -> None:
if self.entity_description.setter:
(await self.entity_description.setter(self._inverter, int(value)))
self._attr_value = value
self.async_write_ha_state() |
@runnable
def run_targets(*args):
'Run targets for Python.'
Options.show_coverage = ('coverage' in args)
count = 0
for (count, (command, title, retry)) in enumerate(Options.targets, start=1):
success = call(command, title, retry)
if (not success):
message = (('✅ ' * (count - ... | -73,758,141,938,422,160 | Run targets for Python. | scent.py | run_targets | EazeAI/AI-WS | python | @runnable
def run_targets(*args):
Options.show_coverage = ('coverage' in args)
count = 0
for (count, (command, title, retry)) in enumerate(Options.targets, start=1):
success = call(command, title, retry)
if (not success):
message = (('✅ ' * (count - 1)) + '❌')
sh... |
def call(command, title, retry):
'Run a command-line program and display the result.'
if Options.rerun_args:
(command, title, retry) = Options.rerun_args
Options.rerun_args = None
success = call(command, title, retry)
if (not success):
return False
print('')
p... | 3,937,803,438,086,842,000 | Run a command-line program and display the result. | scent.py | call | EazeAI/AI-WS | python | def call(command, title, retry):
if Options.rerun_args:
(command, title, retry) = Options.rerun_args
Options.rerun_args = None
success = call(command, title, retry)
if (not success):
return False
print()
print(('$ %s' % ' '.join(command)))
failure = subpr... |
def show_notification(message, title):
'Show a user notification.'
if (notify and title):
notify(message, title=title, group=Options.group) | 1,002,222,407,043,525,500 | Show a user notification. | scent.py | show_notification | EazeAI/AI-WS | python | def show_notification(message, title):
if (notify and title):
notify(message, title=title, group=Options.group) |
def show_coverage():
'Launch the coverage report.'
if Options.show_coverage:
subprocess.call(['make', 'read-coverage'])
Options.show_coverage = False | 2,950,738,002,091,552,300 | Launch the coverage report. | scent.py | show_coverage | EazeAI/AI-WS | python | def show_coverage():
if Options.show_coverage:
subprocess.call(['make', 'read-coverage'])
Options.show_coverage = False |
def download_scripts(destination_dir: Path=Path('ptlflow_scripts')) -> None:
'Download the main scripts and configs to start working with PTLFlow.'
github_url = 'https://raw.githubusercontent.com/hmorimitsu/ptlflow/main/'
script_names = ['datasets.yml', 'infer.py', 'test.py', 'train.py', 'validate.py']
... | -5,417,779,943,224,005,000 | Download the main scripts and configs to start working with PTLFlow. | ptlflow/__init__.py | download_scripts | hmorimitsu/ptlflow | python | def download_scripts(destination_dir: Path=Path('ptlflow_scripts')) -> None:
github_url = 'https://raw.githubusercontent.com/hmorimitsu/ptlflow/main/'
script_names = ['datasets.yml', 'infer.py', 'test.py', 'train.py', 'validate.py']
destination_dir.mkdir(parents=True, exist_ok=True)
for sname in sc... |
def get_model(model_name: str, pretrained_ckpt: Optional[str]=None, args: Optional[Namespace]=None) -> BaseModel:
'Return an instance of a chosen model.\n\n The instance can have configured by he arguments, and load some existing pretrained weights.\n\n Note that this is different from get_model_reference(), ... | -7,413,552,895,945,898,000 | Return an instance of a chosen model.
The instance can have configured by he arguments, and load some existing pretrained weights.
Note that this is different from get_model_reference(), which returns a reference to the model class. The instance,
returned by this function, is a class already instantiated. Therefore, ... | ptlflow/__init__.py | get_model | hmorimitsu/ptlflow | python | def get_model(model_name: str, pretrained_ckpt: Optional[str]=None, args: Optional[Namespace]=None) -> BaseModel:
'Return an instance of a chosen model.\n\n The instance can have configured by he arguments, and load some existing pretrained weights.\n\n Note that this is different from get_model_reference(), ... |
def get_model_reference(model_name: str) -> BaseModel:
'Return a reference to the class of a chosen model.\n\n Note that this is different from get_model(), which returns an instance of a model. The reference, returned by this\n function, is a class before instantiation. Therefore, the return of this function... | -1,848,291,867,390,122,500 | Return a reference to the class of a chosen model.
Note that this is different from get_model(), which returns an instance of a model. The reference, returned by this
function, is a class before instantiation. Therefore, the return of this function can be used to instantiate a model as
"model_ref = get_model_reference... | ptlflow/__init__.py | get_model_reference | hmorimitsu/ptlflow | python | def get_model_reference(model_name: str) -> BaseModel:
'Return a reference to the class of a chosen model.\n\n Note that this is different from get_model(), which returns an instance of a model. The reference, returned by this\n function, is a class before instantiation. Therefore, the return of this function... |
def get_trainable_model_names() -> List[str]:
'Return a list of model names that are able to be trained.\n \n This function return the names of the model that have a loss function defined.\n\n Returns\n =======\n List[str]\n The list of the model names that can be trained.\n '
return [m... | 2,144,936,162,105,759,000 | Return a list of model names that are able to be trained.
This function return the names of the model that have a loss function defined.
Returns
=======
List[str]
The list of the model names that can be trained. | ptlflow/__init__.py | get_trainable_model_names | hmorimitsu/ptlflow | python | def get_trainable_model_names() -> List[str]:
'Return a list of model names that are able to be trained.\n \n This function return the names of the model that have a loss function defined.\n\n Returns\n =======\n List[str]\n The list of the model names that can be trained.\n '
return [m... |
def blackbody_specific_intensity(wl_nm, T_K):
'Get the monochromatic specific intensity for a blackbody -\n wl_nm = wavelength [nm]\n T_K = temperature [K]\n This is the energy radiated per second per unit wavelength per unit solid angle.\n Reference - Shu, eq. 4.6, p. 78.'
a = ((PLANCK_CO... | 2,590,742,495,800,728,600 | Get the monochromatic specific intensity for a blackbody -
wl_nm = wavelength [nm]
T_K = temperature [K]
This is the energy radiated per second per unit wavelength per unit solid angle.
Reference - Shu, eq. 4.6, p. 78. | colorpy/colorpy-0.1.0/blackbody.py | blackbody_specific_intensity | gmweir/QuasiOptics | python | def blackbody_specific_intensity(wl_nm, T_K):
'Get the monochromatic specific intensity for a blackbody -\n wl_nm = wavelength [nm]\n T_K = temperature [K]\n This is the energy radiated per second per unit wavelength per unit solid angle.\n Reference - Shu, eq. 4.6, p. 78.'
a = ((PLANCK_CO... |
def blackbody_spectrum(T_K):
'Get the spectrum of a blackbody, as a numpy array.'
spectrum = ciexyz.empty_spectrum()
(num_rows, num_cols) = spectrum.shape
for i in xrange(0, num_rows):
specific_intensity = blackbody_specific_intensity(spectrum[i][0], T_K)
spectrum[i][1] = ((specific_inte... | -4,814,021,675,059,225,000 | Get the spectrum of a blackbody, as a numpy array. | colorpy/colorpy-0.1.0/blackbody.py | blackbody_spectrum | gmweir/QuasiOptics | python | def blackbody_spectrum(T_K):
spectrum = ciexyz.empty_spectrum()
(num_rows, num_cols) = spectrum.shape
for i in xrange(0, num_rows):
specific_intensity = blackbody_specific_intensity(spectrum[i][0], T_K)
spectrum[i][1] = ((specific_intensity * ciexyz.delta_wl_nm) * 1e-09)
return spec... |
def blackbody_color(T_K):
'Given a temperature (K), return the xyz color of a thermal blackbody.'
spectrum = blackbody_spectrum(T_K)
xyz = ciexyz.xyz_from_spectrum(spectrum)
return xyz | -5,026,878,936,742,433,000 | Given a temperature (K), return the xyz color of a thermal blackbody. | colorpy/colorpy-0.1.0/blackbody.py | blackbody_color | gmweir/QuasiOptics | python | def blackbody_color(T_K):
spectrum = blackbody_spectrum(T_K)
xyz = ciexyz.xyz_from_spectrum(spectrum)
return xyz |
def blackbody_patch_plot(T_list, title, filename):
'Draw a patch plot of blackbody colors for the given temperature range.'
xyz_colors = []
color_names = []
for Ti in T_list:
xyz = blackbody_color(Ti)
xyz_colors.append(xyz)
name = ('%g K' % Ti)
color_names.append(name)
... | 687,483,277,840,238,200 | Draw a patch plot of blackbody colors for the given temperature range. | colorpy/colorpy-0.1.0/blackbody.py | blackbody_patch_plot | gmweir/QuasiOptics | python | def blackbody_patch_plot(T_list, title, filename):
xyz_colors = []
color_names = []
for Ti in T_list:
xyz = blackbody_color(Ti)
xyz_colors.append(xyz)
name = ('%g K' % Ti)
color_names.append(name)
plots.xyz_patch_plot(xyz_colors, color_names, title, filename) |
def blackbody_color_vs_temperature_plot(T_list, title, filename):
'Draw a color vs temperature plot for the given temperature range.'
num_T = len(T_list)
rgb_list = numpy.empty((num_T, 3))
for i in xrange(0, num_T):
T_i = T_list[i]
xyz = blackbody_color(T_i)
rgb_list[i] = colormo... | 3,642,871,054,975,440,400 | Draw a color vs temperature plot for the given temperature range. | colorpy/colorpy-0.1.0/blackbody.py | blackbody_color_vs_temperature_plot | gmweir/QuasiOptics | python | def blackbody_color_vs_temperature_plot(T_list, title, filename):
num_T = len(T_list)
rgb_list = numpy.empty((num_T, 3))
for i in xrange(0, num_T):
T_i = T_list[i]
xyz = blackbody_color(T_i)
rgb_list[i] = colormodels.rgb_from_xyz(xyz)
plots.color_vs_param_plot(T_list, rgb_li... |
def blackbody_spectrum_plot(T_K):
'Draw the spectrum of a blackbody at the given temperature.'
spectrum = blackbody_spectrum(T_K)
title = ('Blackbody Spectrum - T %d K' % int(T_K))
filename = ('BlackbodySpectrum-%dK' % int(T_K))
plots.spectrum_plot(spectrum, title, filename, xlabel='Wavelength (nm)'... | -2,097,509,183,976,489,700 | Draw the spectrum of a blackbody at the given temperature. | colorpy/colorpy-0.1.0/blackbody.py | blackbody_spectrum_plot | gmweir/QuasiOptics | python | def blackbody_spectrum_plot(T_K):
spectrum = blackbody_spectrum(T_K)
title = ('Blackbody Spectrum - T %d K' % int(T_K))
filename = ('BlackbodySpectrum-%dK' % int(T_K))
plots.spectrum_plot(spectrum, title, filename, xlabel='Wavelength (nm)', ylabel='Specific Intensity') |
def figures():
'Create some blackbody plots.'
T_list_0 = plots.log_interpolate(1200.0, 20000.0, 48)
T_list_hot = plots.log_interpolate(10000.0, 40000.0, 24)
T_list_cool = plots.log_interpolate(950.0, 1200.0, 24)
blackbody_patch_plot(T_list_0, 'Blackbody Colors', 'Blackbody-Patch')
blackbody_patc... | 5,560,260,944,193,342,000 | Create some blackbody plots. | colorpy/colorpy-0.1.0/blackbody.py | figures | gmweir/QuasiOptics | python | def figures():
T_list_0 = plots.log_interpolate(1200.0, 20000.0, 48)
T_list_hot = plots.log_interpolate(10000.0, 40000.0, 24)
T_list_cool = plots.log_interpolate(950.0, 1200.0, 24)
blackbody_patch_plot(T_list_0, 'Blackbody Colors', 'Blackbody-Patch')
blackbody_patch_plot(T_list_hot, 'Hot Blackb... |
@cached_property
def additional_properties_type():
'\n This must be a method because a model may have properties that are\n of type self, this must run after the class is loaded\n '
lazy_import()
return (bool, date, datetime, dict, float, int, list, str, none_type) | 1,702,168,743,392,494,600 | This must be a method because a model may have properties that are
of type self, this must run after the class is loaded | cryptoapis/model/coins_forwarding_success_data.py | additional_properties_type | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | python | @cached_property
def additional_properties_type():
'\n This must be a method because a model may have properties that are\n of type self, this must run after the class is loaded\n '
lazy_import()
return (bool, date, datetime, dict, float, int, list, str, none_type) |
@cached_property
def openapi_types():
'\n This must be a method because a model may have properties that are\n of type self, this must run after the class is loaded\n\n Returns\n openapi_types (dict): The key is attribute name\n and the value is attribute type.\n ... | -2,012,564,197,808,641,800 | This must be a method because a model may have properties that are
of type self, this must run after the class is loaded
Returns
openapi_types (dict): The key is attribute name
and the value is attribute type. | cryptoapis/model/coins_forwarding_success_data.py | openapi_types | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | python | @cached_property
def openapi_types():
'\n This must be a method because a model may have properties that are\n of type self, this must run after the class is loaded\n\n Returns\n openapi_types (dict): The key is attribute name\n and the value is attribute type.\n ... |
@classmethod
@convert_js_args_to_python_args
def _from_openapi_data(cls, product, event, item, *args, **kwargs):
'CoinsForwardingSuccessData - a model defined in OpenAPI\n\n Args:\n product (str): Represents the Crypto APIs 2.0 product which sends the callback.\n event (str): Defines th... | -2,732,593,822,327,209,000 | CoinsForwardingSuccessData - a model defined in OpenAPI
Args:
product (str): Represents the Crypto APIs 2.0 product which sends the callback.
event (str): Defines the specific event, for which a callback subscription is set.
item (CoinsForwardingSuccessDataItem):
Keyword Args:
_check_type (bool): if T... | cryptoapis/model/coins_forwarding_success_data.py | _from_openapi_data | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | python | @classmethod
@convert_js_args_to_python_args
def _from_openapi_data(cls, product, event, item, *args, **kwargs):
'CoinsForwardingSuccessData - a model defined in OpenAPI\n\n Args:\n product (str): Represents the Crypto APIs 2.0 product which sends the callback.\n event (str): Defines th... |
@convert_js_args_to_python_args
def __init__(self, product, event, item, *args, **kwargs):
'CoinsForwardingSuccessData - a model defined in OpenAPI\n\n Args:\n product (str): Represents the Crypto APIs 2.0 product which sends the callback.\n event (str): Defines the specific event, for ... | -791,863,898,841,504,600 | CoinsForwardingSuccessData - a model defined in OpenAPI
Args:
product (str): Represents the Crypto APIs 2.0 product which sends the callback.
event (str): Defines the specific event, for which a callback subscription is set.
item (CoinsForwardingSuccessDataItem):
Keyword Args:
_check_type (bool): if T... | cryptoapis/model/coins_forwarding_success_data.py | __init__ | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | python | @convert_js_args_to_python_args
def __init__(self, product, event, item, *args, **kwargs):
'CoinsForwardingSuccessData - a model defined in OpenAPI\n\n Args:\n product (str): Represents the Crypto APIs 2.0 product which sends the callback.\n event (str): Defines the specific event, for ... |
def _activation_summary(x):
'Helper to create summaries for activations.\n\n Creates a summary that provides a histogram of activations.\n Creates a summary that measures the sparsity of activations.\n\n Args:\n x: Tensor\n Returns:\n nothing\n '
tensor_name = re.sub(('%s_[0-9]*/' % TOWER_NAME), '', ... | 553,231,555,851,507,140 | Helper to create summaries for activations.
Creates a summary that provides a histogram of activations.
Creates a summary that measures the sparsity of activations.
Args:
x: Tensor
Returns:
nothing | examples/cifar10/cifar10.py | _activation_summary | 13927729580/TensorFlowOnSpark | python | def _activation_summary(x):
'Helper to create summaries for activations.\n\n Creates a summary that provides a histogram of activations.\n Creates a summary that measures the sparsity of activations.\n\n Args:\n x: Tensor\n Returns:\n nothing\n '
tensor_name = re.sub(('%s_[0-9]*/' % TOWER_NAME), , x.... |
def _variable_on_cpu(name, shape, initializer):
'Helper to create a Variable stored on CPU memory.\n\n Args:\n name: name of the variable\n shape: list of ints\n initializer: initializer for Variable\n\n Returns:\n Variable Tensor\n '
with tf.device('/cpu:0'):
dtype = (tf.float16 if FLAGS... | 2,365,013,275,469,490,700 | Helper to create a Variable stored on CPU memory.
Args:
name: name of the variable
shape: list of ints
initializer: initializer for Variable
Returns:
Variable Tensor | examples/cifar10/cifar10.py | _variable_on_cpu | 13927729580/TensorFlowOnSpark | python | def _variable_on_cpu(name, shape, initializer):
'Helper to create a Variable stored on CPU memory.\n\n Args:\n name: name of the variable\n shape: list of ints\n initializer: initializer for Variable\n\n Returns:\n Variable Tensor\n '
with tf.device('/cpu:0'):
dtype = (tf.float16 if FLAGS... |
def _variable_with_weight_decay(name, shape, stddev, wd):
'Helper to create an initialized Variable with weight decay.\n\n Note that the Variable is initialized with a truncated normal distribution.\n A weight decay is added only if one is specified.\n\n Args:\n name: name of the variable\n shape: list of ... | 8,132,621,707,787,137,000 | Helper to create an initialized Variable with weight decay.
Note that the Variable is initialized with a truncated normal distribution.
A weight decay is added only if one is specified.
Args:
name: name of the variable
shape: list of ints
stddev: standard deviation of a truncated Gaussian
wd: add L2Loss weigh... | examples/cifar10/cifar10.py | _variable_with_weight_decay | 13927729580/TensorFlowOnSpark | python | def _variable_with_weight_decay(name, shape, stddev, wd):
'Helper to create an initialized Variable with weight decay.\n\n Note that the Variable is initialized with a truncated normal distribution.\n A weight decay is added only if one is specified.\n\n Args:\n name: name of the variable\n shape: list of ... |
def distorted_inputs():
'Construct distorted input for CIFAR training using the Reader ops.\n\n Returns:\n images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZE, 3] size.\n labels: Labels. 1D tensor of [batch_size] size.\n\n Raises:\n ValueError: If no data_dir\n '
if (not FLAGS.data_dir)... | 5,244,124,816,898,738,000 | Construct distorted input for CIFAR training using the Reader ops.
Returns:
images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZE, 3] size.
labels: Labels. 1D tensor of [batch_size] size.
Raises:
ValueError: If no data_dir | examples/cifar10/cifar10.py | distorted_inputs | 13927729580/TensorFlowOnSpark | python | def distorted_inputs():
'Construct distorted input for CIFAR training using the Reader ops.\n\n Returns:\n images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZE, 3] size.\n labels: Labels. 1D tensor of [batch_size] size.\n\n Raises:\n ValueError: If no data_dir\n '
if (not FLAGS.data_dir)... |
def inputs(eval_data):
'Construct input for CIFAR evaluation using the Reader ops.\n\n Args:\n eval_data: bool, indicating if one should use the train or eval data set.\n\n Returns:\n images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZE, 3] size.\n labels: Labels. 1D tensor of [batch_size] si... | 5,745,744,370,990,534,000 | Construct input for CIFAR evaluation using the Reader ops.
Args:
eval_data: bool, indicating if one should use the train or eval data set.
Returns:
images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZE, 3] size.
labels: Labels. 1D tensor of [batch_size] size.
Raises:
ValueError: If no data_dir | examples/cifar10/cifar10.py | inputs | 13927729580/TensorFlowOnSpark | python | def inputs(eval_data):
'Construct input for CIFAR evaluation using the Reader ops.\n\n Args:\n eval_data: bool, indicating if one should use the train or eval data set.\n\n Returns:\n images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZE, 3] size.\n labels: Labels. 1D tensor of [batch_size] si... |
def inference(images):
'Build the CIFAR-10 model.\n\n Args:\n images: Images returned from distorted_inputs() or inputs().\n\n Returns:\n Logits.\n '
with tf.variable_scope('conv1') as scope:
kernel = _variable_with_weight_decay('weights', shape=[5, 5, 3, 64], stddev=0.05, wd=0.0)
conv ... | 4,760,979,126,026,873,000 | Build the CIFAR-10 model.
Args:
images: Images returned from distorted_inputs() or inputs().
Returns:
Logits. | examples/cifar10/cifar10.py | inference | 13927729580/TensorFlowOnSpark | python | def inference(images):
'Build the CIFAR-10 model.\n\n Args:\n images: Images returned from distorted_inputs() or inputs().\n\n Returns:\n Logits.\n '
with tf.variable_scope('conv1') as scope:
kernel = _variable_with_weight_decay('weights', shape=[5, 5, 3, 64], stddev=0.05, wd=0.0)
conv ... |
def loss(logits, labels):
'Add L2Loss to all the trainable variables.\n\n Add summary for "Loss" and "Loss/avg".\n Args:\n logits: Logits from inference().\n labels: Labels from distorted_inputs or inputs(). 1-D tensor\n of shape [batch_size]\n\n Returns:\n Loss tensor of type float.\n '
... | 2,034,962,917,631,843,600 | Add L2Loss to all the trainable variables.
Add summary for "Loss" and "Loss/avg".
Args:
logits: Logits from inference().
labels: Labels from distorted_inputs or inputs(). 1-D tensor
of shape [batch_size]
Returns:
Loss tensor of type float. | examples/cifar10/cifar10.py | loss | 13927729580/TensorFlowOnSpark | python | def loss(logits, labels):
'Add L2Loss to all the trainable variables.\n\n Add summary for "Loss" and "Loss/avg".\n Args:\n logits: Logits from inference().\n labels: Labels from distorted_inputs or inputs(). 1-D tensor\n of shape [batch_size]\n\n Returns:\n Loss tensor of type float.\n '
... |
def _add_loss_summaries(total_loss):
'Add summaries for losses in CIFAR-10 model.\n\n Generates moving average for all losses and associated summaries for\n visualizing the performance of the network.\n\n Args:\n total_loss: Total loss from loss().\n Returns:\n loss_averages_op: op for generating moving a... | 3,010,989,842,750,706,000 | Add summaries for losses in CIFAR-10 model.
Generates moving average for all losses and associated summaries for
visualizing the performance of the network.
Args:
total_loss: Total loss from loss().
Returns:
loss_averages_op: op for generating moving averages of losses. | examples/cifar10/cifar10.py | _add_loss_summaries | 13927729580/TensorFlowOnSpark | python | def _add_loss_summaries(total_loss):
'Add summaries for losses in CIFAR-10 model.\n\n Generates moving average for all losses and associated summaries for\n visualizing the performance of the network.\n\n Args:\n total_loss: Total loss from loss().\n Returns:\n loss_averages_op: op for generating moving a... |
def train(total_loss, global_step):
'Train CIFAR-10 model.\n\n Create an optimizer and apply to all trainable variables. Add moving\n average for all trainable variables.\n\n Args:\n total_loss: Total loss from loss().\n global_step: Integer Variable counting the number of training steps\n processed.\... | -1,121,517,191,392,497,900 | Train CIFAR-10 model.
Create an optimizer and apply to all trainable variables. Add moving
average for all trainable variables.
Args:
total_loss: Total loss from loss().
global_step: Integer Variable counting the number of training steps
processed.
Returns:
train_op: op for training. | examples/cifar10/cifar10.py | train | 13927729580/TensorFlowOnSpark | python | def train(total_loss, global_step):
'Train CIFAR-10 model.\n\n Create an optimizer and apply to all trainable variables. Add moving\n average for all trainable variables.\n\n Args:\n total_loss: Total loss from loss().\n global_step: Integer Variable counting the number of training steps\n processed.\... |
def maybe_download_and_extract():
"Download and extract the tarball from Alex's website."
dest_directory = FLAGS.data_dir
if (not os.path.exists(dest_directory)):
os.makedirs(dest_directory)
filename = DATA_URL.split('/')[(- 1)]
filepath = os.path.join(dest_directory, filename)
if (not o... | -304,177,207,173,734,000 | Download and extract the tarball from Alex's website. | examples/cifar10/cifar10.py | maybe_download_and_extract | 13927729580/TensorFlowOnSpark | python | def maybe_download_and_extract():
dest_directory = FLAGS.data_dir
if (not os.path.exists(dest_directory)):
os.makedirs(dest_directory)
filename = DATA_URL.split('/')[(- 1)]
filepath = os.path.join(dest_directory, filename)
if (not os.path.exists(filepath)):
def _progress(count,... |
@unavailable((not _has_matplotlib), 'matplotlib')
def plot_ellipsoid_3D(p, q, ax, n_points=100):
' Plot an ellipsoid in 3D\n\n Based on\n https://stackoverflow.com/questions/7819498/plotting-ellipsoid-with-matplotlib\n\n TODO: Untested!\n\n Parameters\n ----------\n p: 3x1 array[float]\n Ce... | -1,664,333,436,179,161,300 | Plot an ellipsoid in 3D
Based on
https://stackoverflow.com/questions/7819498/plotting-ellipsoid-with-matplotlib
TODO: Untested!
Parameters
----------
p: 3x1 array[float]
Center of the ellipsoid
q: 3x3 array[float]
Shape matrix of the ellipsoid
ax: matplotlib.Axes object
Ax on which to plot the ellipsoid
... | safe_exploration/visualization/utils_visualization.py | plot_ellipsoid_3D | Pathetiue/safe-exploration | python | @unavailable((not _has_matplotlib), 'matplotlib')
def plot_ellipsoid_3D(p, q, ax, n_points=100):
' Plot an ellipsoid in 3D\n\n Based on\n https://stackoverflow.com/questions/7819498/plotting-ellipsoid-with-matplotlib\n\n TODO: Untested!\n\n Parameters\n ----------\n p: 3x1 array[float]\n Ce... |
@unavailable((not _has_matplotlib), 'matplotlib')
def plot_ellipsoid_2D(p, q, ax, n_points=100, color='r'):
' Plot an ellipsoid in 2D\n\n TODO: Untested!\n\n Parameters\n ----------\n p: 3x1 array[float]\n Center of the ellipsoid\n q: 3x3 array[float]\n Shape matrix of the ellipsoid\n ... | -6,846,811,146,890,000,000 | Plot an ellipsoid in 2D
TODO: Untested!
Parameters
----------
p: 3x1 array[float]
Center of the ellipsoid
q: 3x3 array[float]
Shape matrix of the ellipsoid
ax: matplotlib.Axes object
Ax on which to plot the ellipsoid
Returns
-------
ax: matplotlib.Axes object
The Ax containing the ellipsoid | safe_exploration/visualization/utils_visualization.py | plot_ellipsoid_2D | Pathetiue/safe-exploration | python | @unavailable((not _has_matplotlib), 'matplotlib')
def plot_ellipsoid_2D(p, q, ax, n_points=100, color='r'):
' Plot an ellipsoid in 2D\n\n TODO: Untested!\n\n Parameters\n ----------\n p: 3x1 array[float]\n Center of the ellipsoid\n q: 3x3 array[float]\n Shape matrix of the ellipsoid\n ... |
def __init__(self, p):
'Defines the modulus p which must be a prime\n '
self.F = self
self.p = gmpy.mpz(p)
self.char = self.p
self.q = (self.p + 1)
assert gmpy.is_prime(p)
self.rep = None
self.g = None
'\n g is a random quadratic residue used to compute square roots and... | 3,367,812,278,402,845,000 | Defines the modulus p which must be a prime | mathTools/field.py | __init__ | ecuvelier/PPAT | python | def __init__(self, p):
'\n '
self.F = self
self.p = gmpy.mpz(p)
self.char = self.p
self.q = (self.p + 1)
assert gmpy.is_prime(p)
self.rep = None
self.g = None
'\n g is a random quadratic residue used to compute square roots and it is\n initialized the first time ... |
def one(self):
'unit element for multiplication'
return FieldElem(1, self) | -5,955,065,089,090,498,000 | unit element for multiplication | mathTools/field.py | one | ecuvelier/PPAT | python | def one(self):
return FieldElem(1, self) |
def zero(self):
'unit element for addition'
return FieldElem(0, self) | 3,455,417,634,989,473,300 | unit element for addition | mathTools/field.py | zero | ecuvelier/PPAT | python | def zero(self):
return FieldElem(0, self) |
def elem(self, x):
' return an element of value x\n '
if isinstance(x, FieldElem):
assert (x.F == self)
return x
m = gmpy.mpz(1)
assert (isinstance(x, int) or isinstance(x, long) or (type(x) == type(m)))
return FieldElem(x, self) | -8,415,939,500,760,490,000 | return an element of value x | mathTools/field.py | elem | ecuvelier/PPAT | python | def elem(self, x):
' \n '
if isinstance(x, FieldElem):
assert (x.F == self)
return x
m = gmpy.mpz(1)
assert (isinstance(x, int) or isinstance(x, long) or (type(x) == type(m)))
return FieldElem(x, self) |
def random(self, low=1, high=None):
' Return a random element of the Field\n '
if (high == None):
high = int((self.p - 1))
rand = randint(low, high)
return self.elem(rand) | -6,226,670,074,696,561,000 | Return a random element of the Field | mathTools/field.py | random | ecuvelier/PPAT | python | def random(self, low=1, high=None):
' \n '
if (high == None):
high = int((self.p - 1))
rand = randint(low, high)
return self.elem(rand) |
def __eq__(self, other):
'testing if we are working in the same field'
try:
return (self.p == other.p)
except:
return False | -4,467,265,234,563,478,500 | testing if we are working in the same field | mathTools/field.py | __eq__ | ecuvelier/PPAT | python | def __eq__(self, other):
try:
return (self.p == other.p)
except:
return False |
def add(self, a, b):
'\n field operation: addition mod p\n '
return FieldElem(((a.val + b.val) % self.p), self) | -6,150,732,098,473,979,000 | field operation: addition mod p | mathTools/field.py | add | ecuvelier/PPAT | python | def add(self, a, b):
'\n \n '
return FieldElem(((a.val + b.val) % self.p), self) |
def sub(self, a, b):
'\n field operation: substraction mod p\n '
return FieldElem(((a.val - b.val) % self.p), self) | -921,403,297,015,566,600 | field operation: substraction mod p | mathTools/field.py | sub | ecuvelier/PPAT | python | def sub(self, a, b):
'\n \n '
return FieldElem(((a.val - b.val) % self.p), self) |
def neg(self, a):
'\n field operation: opposite mod p\n '
return FieldElem(((self.p - a.val) % self.p), self) | 6,358,035,490,914,622,000 | field operation: opposite mod p | mathTools/field.py | neg | ecuvelier/PPAT | python | def neg(self, a):
'\n \n '
return FieldElem(((self.p - a.val) % self.p), self) |
def mul(self, a, b):
'\n field operation: multiplication of field elements\n '
'\n if isinstance(a,FieldElem) and isinstance(b, FieldElem) and not a.F == b.F :\n raise Exception("multiplication between elements of different fields")\n '
if (not isinstance(b, FieldElem)... | -6,066,617,828,850,303,000 | field operation: multiplication of field elements | mathTools/field.py | mul | ecuvelier/PPAT | python | def mul(self, a, b):
'\n \n '
'\n if isinstance(a,FieldElem) and isinstance(b, FieldElem) and not a.F == b.F :\n raise Exception("multiplication between elements of different fields")\n '
if (not isinstance(b, FieldElem)):
if (b < 0):
return self.sm... |
def smul(self, a, b):
' Return a*b where a or b is scalar\n '
if (not isinstance(b, FieldElem)):
return FieldElem(((gmpy.mpz(b) * a.val) % self.p), self)
else:
return self.smul(b, a) | 4,092,931,305,875,793,000 | Return a*b where a or b is scalar | mathTools/field.py | smul | ecuvelier/PPAT | python | def smul(self, a, b):
' \n '
if (not isinstance(b, FieldElem)):
return FieldElem(((gmpy.mpz(b) * a.val) % self.p), self)
else:
return self.smul(b, a) |
def sm(self, b, a):
' Quick multiplication between a field element a and a scalar b\n '
return FieldElem(((gmpy.mpz(b) * a.val) % self.p), self) | 1,369,684,940,761,127,000 | Quick multiplication between a field element a and a scalar b | mathTools/field.py | sm | ecuvelier/PPAT | python | def sm(self, b, a):
' \n '
return FieldElem(((gmpy.mpz(b) * a.val) % self.p), self) |
def pmul(self, a, b):
' product between two field element in Fp\n '
return FieldElem(((a.val * b.val) % self.p), self) | -1,657,878,191,410,303,200 | product between two field element in Fp | mathTools/field.py | pmul | ecuvelier/PPAT | python | def pmul(self, a, b):
' \n '
return FieldElem(((a.val * b.val) % self.p), self) |
def dbleAndAdd(self, P, Pp, n):
'return n*P using double and add technique'
if (n == 0):
return self.zero()
if (n == 1):
return P
elif ((n % 2) == 1):
Q = self.dbleAndAdd(P, Pp, ((n - 1) / 2))
return ((P + Q) + Q)
elif ((n % 2) == 0):
Q = self.dbleAndAdd(P, Pp... | 304,071,089,569,589,100 | return n*P using double and add technique | mathTools/field.py | dbleAndAdd | ecuvelier/PPAT | python | def dbleAndAdd(self, P, Pp, n):
if (n == 0):
return self.zero()
if (n == 1):
return P
elif ((n % 2) == 1):
Q = self.dbleAndAdd(P, Pp, ((n - 1) / 2))
return ((P + Q) + Q)
elif ((n % 2) == 0):
Q = self.dbleAndAdd(P, Pp, (n / 2))
return (Q + Q) |
def powop(self, a, b):
'return a**b'
m = gmpy.mpz(1)
'exponentiation by a scalar'
if ((not isinstance(b, int)) and (not isinstance(b, long)) and (not (type(b) == type(m)))):
raise Exception('Exponentation by a non integer, long or mpz')
c = b
if ((c > (self.char - 1)) or (c < 0)):
... | -2,940,484,699,847,163,000 | return a**b | mathTools/field.py | powop | ecuvelier/PPAT | python | def powop(self, a, b):
m = gmpy.mpz(1)
'exponentiation by a scalar'
if ((not isinstance(b, int)) and (not isinstance(b, long)) and (not (type(b) == type(m)))):
raise Exception('Exponentation by a non integer, long or mpz')
c = b
if ((c > (self.char - 1)) or (c < 0)):
c = (b % (s... |
def sqrtAndMultply(self, P, Pp, n):
'return P**n using square and multiply technique'
if (n == 0):
return self.one()
elif (n == 1):
return P
elif ((n % 2) == 1):
Q = self.sqrtAndMultply(P, Pp, ((n - 1) / 2))
return (P * self.square(Q))
elif ((n % 2) == 0):
Q =... | 781,381,006,290,647,300 | return P**n using square and multiply technique | mathTools/field.py | sqrtAndMultply | ecuvelier/PPAT | python | def sqrtAndMultply(self, P, Pp, n):
if (n == 0):
return self.one()
elif (n == 1):
return P
elif ((n % 2) == 1):
Q = self.sqrtAndMultply(P, Pp, ((n - 1) / 2))
return (P * self.square(Q))
elif ((n % 2) == 0):
Q = self.sqrtAndMultply(P, Pp, (n / 2))
retu... |
def square(self, a):
'\n This method returns the square of a\n '
return FieldElem(pow(a.val, 2, self.p), self) | -7,983,734,526,397,552,000 | This method returns the square of a | mathTools/field.py | square | ecuvelier/PPAT | python | def square(self, a):
'\n \n '
return FieldElem(pow(a.val, 2, self.p), self) |
def findnonresidue(self):
'\n find a random non quadratic residue in the Field F,\n that is, find g that is not a square in F, this is\n needed to compute square roots\n '
g = self.random()
while g.isquadres():
g = self.random()
return g | 1,602,797,222,163,183,900 | find a random non quadratic residue in the Field F,
that is, find g that is not a square in F, this is
needed to compute square roots | mathTools/field.py | findnonresidue | ecuvelier/PPAT | python | def findnonresidue(self):
'\n find a random non quadratic residue in the Field F,\n that is, find g that is not a square in F, this is\n needed to compute square roots\n '
g = self.random()
while g.isquadres():
g = self.random()
return g |
def __init__(self, val, F):
'Creating a new field element.\n '
self.F = F
self.val = gmpy.mpz(val)
self.poly = polynom(self.F, [self]) | 5,470,238,425,599,405,000 | Creating a new field element. | mathTools/field.py | __init__ | ecuvelier/PPAT | python | def __init__(self, val, F):
'\n '
self.F = F
self.val = gmpy.mpz(val)
self.poly = polynom(self.F, [self]) |
def isquadres(self):
' This method return True if the element is a quadratic residue mod q\n different than zero\n it returns False otherwhise\n '
if (self + self.F.zero()).iszero():
return False
else:
c = (self ** ((self.F.q - 1) / 2))
return (c == self.... | -1,876,804,704,010,010,000 | This method return True if the element is a quadratic residue mod q
different than zero
it returns False otherwhise | mathTools/field.py | isquadres | ecuvelier/PPAT | python | def isquadres(self):
' This method return True if the element is a quadratic residue mod q\n different than zero\n it returns False otherwhise\n '
if (self + self.F.zero()).iszero():
return False
else:
c = (self ** ((self.F.q - 1) / 2))
return (c == self.... |
def squareroot(self):
' This method returns the positive square root of\n an element of the field\n using the Tonelli-Shanks algorithm\n\n Carefull : if the element has no square root, the method does not\n check this case and raises an error. Verification has to be done\... | -3,225,873,158,965,586,000 | This method returns the positive square root of
an element of the field
using the Tonelli-Shanks algorithm
Carefull : if the element has no square root, the method does not
check this case and raises an error. Verification has to be done
before calling the method. | mathTools/field.py | squareroot | ecuvelier/PPAT | python | def squareroot(self):
' This method returns the positive square root of\n an element of the field\n using the Tonelli-Shanks algorithm\n\n Carefull : if the element has no square root, the method does not\n check this case and raises an error. Verification has to be done\... |
def __init__(self, F, irpoly, g=None, rep=None):
"Define the base Field or extension Field and the irreducible polynomial\n F is the base field on top of which the extension\n field is built\n irpoly is the irreducible polynomial used to build\n the extension field as F/irpoly\n ... | 3,613,551,871,637,081,600 | Define the base Field or extension Field and the irreducible polynomial
F is the base field on top of which the extension
field is built
irpoly is the irreducible polynomial used to build
the extension field as F/irpoly
g is a non quadratic residue used to compute square
roots, if it is set to None, computing ... | mathTools/field.py | __init__ | ecuvelier/PPAT | python | def __init__(self, F, irpoly, g=None, rep=None):
"Define the base Field or extension Field and the irreducible polynomial\n F is the base field on top of which the extension\n field is built\n irpoly is the irreducible polynomial used to build\n the extension field as F/irpoly\n ... |
def one(self):
'unit element for multiplication'
One = ([self.F.zero()] * (self.deg - 1))
One[(self.deg - 2)] = self.F.one()
return ExtensionFieldElem(self, polynom(self.F, One)) | 8,906,210,674,035,437,000 | unit element for multiplication | mathTools/field.py | one | ecuvelier/PPAT | python | def one(self):
One = ([self.F.zero()] * (self.deg - 1))
One[(self.deg - 2)] = self.F.one()
return ExtensionFieldElem(self, polynom(self.F, One)) |
def zero(self):
'unit element for addition'
Zero = ([self.F.zero()] * (self.deg - 1))
return ExtensionFieldElem(self, polynom(self.F, Zero)) | -6,735,012,592,271,312,000 | unit element for addition | mathTools/field.py | zero | ecuvelier/PPAT | python | def zero(self):
Zero = ([self.F.zero()] * (self.deg - 1))
return ExtensionFieldElem(self, polynom(self.F, Zero)) |
def unit(self):
' root of the irreducible polynomial\n e.g. return element 1*A+0 (or the complex value i) if the irpoly is X**2+1\n '
I = self.zero()
I.poly.coef[(- 2)] = self.F.one()
return I | 8,046,764,757,817,881,000 | root of the irreducible polynomial
e.g. return element 1*A+0 (or the complex value i) if the irpoly is X**2+1 | mathTools/field.py | unit | ecuvelier/PPAT | python | def unit(self):
' root of the irreducible polynomial\n e.g. return element 1*A+0 (or the complex value i) if the irpoly is X**2+1\n '
I = self.zero()
I.poly.coef[(- 2)] = self.F.one()
return I |
def elem(self, x):
' Provided that x belongs to F, return an element of the extension field\n of value x\n '
P = self.zero()
P.poly.coef[(- 1)] = x
return P | 7,193,894,804,630,438,000 | Provided that x belongs to F, return an element of the extension field
of value x | mathTools/field.py | elem | ecuvelier/PPAT | python | def elem(self, x):
' Provided that x belongs to F, return an element of the extension field\n of value x\n '
P = self.zero()
P.poly.coef[(- 1)] = x
return P |
def random(self):
' Return a random element of the Extension Field\n '
polycoef = ([0] * (self.deg - 1))
for i in range((self.deg - 1)):
polycoef[i] = self.F.random()
poly = polynom(self.F, polycoef)
return ExtensionFieldElem(self, poly) | 2,462,468,952,993,113,000 | Return a random element of the Extension Field | mathTools/field.py | random | ecuvelier/PPAT | python | def random(self):
' \n '
polycoef = ([0] * (self.deg - 1))
for i in range((self.deg - 1)):
polycoef[i] = self.F.random()
poly = polynom(self.F, polycoef)
return ExtensionFieldElem(self, poly) |
def __eq__(self, other):
'testing if we are working in the same extension field'
try:
return ((self.F == other.F) and (self.irpoly == other.irpoly))
except:
return False | -6,034,864,863,400,111,000 | testing if we are working in the same extension field | mathTools/field.py | __eq__ | ecuvelier/PPAT | python | def __eq__(self, other):
try:
return ((self.F == other.F) and (self.irpoly == other.irpoly))
except:
return False |
def add(self, a, b):
'\n field operation: addition of polynomial > addition of coefficients in the appropriate field\n '
if (not (a.deg == b.deg)):
a = self.reduc(a)
b = self.reduc(b)
polysum = ([0] * a.deg)
for i in range(a.deg):
polysum[i] = (a.poly.coef[i] + b.po... | -4,685,965,467,103,141,000 | field operation: addition of polynomial > addition of coefficients in the appropriate field | mathTools/field.py | add | ecuvelier/PPAT | python | def add(self, a, b):
'\n \n '
if (not (a.deg == b.deg)):
a = self.reduc(a)
b = self.reduc(b)
polysum = ([0] * a.deg)
for i in range(a.deg):
polysum[i] = (a.poly.coef[i] + b.poly.coef[i])
P = polynom(self.F, polysum)
return ExtensionFieldElem(self, P) |
def sub(self, a, b):
'\n field operation: substraction of polynomials > substraction of each coefficient in the appropriate field\n '
if (not (a.deg == b.deg)):
a = self.reduc(a)
b = self.reduc(b)
c = self.neg(b)
return self.add(a, c) | -7,821,902,978,157,330,000 | field operation: substraction of polynomials > substraction of each coefficient in the appropriate field | mathTools/field.py | sub | ecuvelier/PPAT | python | def sub(self, a, b):
'\n \n '
if (not (a.deg == b.deg)):
a = self.reduc(a)
b = self.reduc(b)
c = self.neg(b)
return self.add(a, c) |
def neg(self, a):
'\n field operation: opposite of a polynomial > opposite of each coefficient in appropriate field\n '
ap = ([0] * a.deg)
for i in range(a.deg):
ap[i] = (- a.poly.coef[i])
P = polynom(self.F, ap)
return ExtensionFieldElem(self, P) | -7,593,053,574,250,158,000 | field operation: opposite of a polynomial > opposite of each coefficient in appropriate field | mathTools/field.py | neg | ecuvelier/PPAT | python | def neg(self, a):
'\n \n '
ap = ([0] * a.deg)
for i in range(a.deg):
ap[i] = (- a.poly.coef[i])
P = polynom(self.F, ap)
return ExtensionFieldElem(self, P) |
def smul(self, a, b):
' Return a*b where a or b is scalar\n '
if (not isinstance(b, FieldElem)):
A = a.poly.coef
Pc = ([0] * len(A))
for i in range(len(Pc)):
Pc[i] = (A[i] * gmpy.mpz(b))
return ExtensionFieldElem(self, polynom(self.F, Pc))
else:
ret... | -2,841,629,317,917,324,300 | Return a*b where a or b is scalar | mathTools/field.py | smul | ecuvelier/PPAT | python | def smul(self, a, b):
' \n '
if (not isinstance(b, FieldElem)):
A = a.poly.coef
Pc = ([0] * len(A))
for i in range(len(Pc)):
Pc[i] = (A[i] * gmpy.mpz(b))
return ExtensionFieldElem(self, polynom(self.F, Pc))
else:
return self.smul(b, a) |
def pmul(self, a, b):
'Multiplication between polynomials\n '
if (not (a.deg == b.deg)):
a = self.reduc(a)
b = self.reduc(b)
A = a.poly.coef
B = b.poly.coef
k = (self.deg - 1)
if ((k == 2) and (self.F.rep == 'A')):
(a0, a1, b0, b1) = (A[0].val, A[1].val, B[0].val, ... | -429,399,036,203,879,040 | Multiplication between polynomials | mathTools/field.py | pmul | ecuvelier/PPAT | python | def pmul(self, a, b):
'\n '
if (not (a.deg == b.deg)):
a = self.reduc(a)
b = self.reduc(b)
A = a.poly.coef
B = b.poly.coef
k = (self.deg - 1)
if ((k == 2) and (self.F.rep == 'A')):
(a0, a1, b0, b1) = (A[0].val, A[1].val, B[0].val, B[1].val)
p = self.char
... |
def square(self, a):
' This algortihm returns the square of a in the field\n using different methods if the degree of the extension\n is 2,3 or more\n '
assert (a.F == self)
if (not (a.deg == (self.deg - 1))):
a = self.reduc(a)
A = a.poly.coef
k = (self.deg - 1)
... | 392,524,527,384,159,500 | This algortihm returns the square of a in the field
using different methods if the degree of the extension
is 2,3 or more | mathTools/field.py | square | ecuvelier/PPAT | python | def square(self, a):
' This algortihm returns the square of a in the field\n using different methods if the degree of the extension\n is 2,3 or more\n '
assert (a.F == self)
if (not (a.deg == (self.deg - 1))):
a = self.reduc(a)
A = a.poly.coef
k = (self.deg - 1)
... |
def invert(self, a):
" Ths method returns the inverse of a in the field\n The inverse is computed by determining the Bezout coefficient using the\n extended Euclide's algorithm or by specialized algorithms depending\n on the degree of the extension (2 or 3)\n "
assert (a.... | 1,190,864,874,066,247,400 | Ths method returns the inverse of a in the field
The inverse is computed by determining the Bezout coefficient using the
extended Euclide's algorithm or by specialized algorithms depending
on the degree of the extension (2 or 3) | mathTools/field.py | invert | ecuvelier/PPAT | python | def invert(self, a):
" Ths method returns the inverse of a in the field\n The inverse is computed by determining the Bezout coefficient using the\n extended Euclide's algorithm or by specialized algorithms depending\n on the degree of the extension (2 or 3)\n "
assert (a.... |
def invertible(self, a):
' Return True if a is invertible\n '
return (not (self.reduc(a) == self.zero())) | 8,636,644,282,939,494,000 | Return True if a is invertible | mathTools/field.py | invertible | ecuvelier/PPAT | python | def invertible(self, a):
' \n '
return (not (self.reduc(a) == self.zero())) |
def eucldiv(self, a, b):
' Return a/b and a%b\n a and b are of length d-1 where d is the degree of the irreducible polynomial\n '
zero = self.F.zero()
izero = self.zero()
d = self.deg
assert (not b.poly.iszero())
if a.poly.iszero():
return (izero, izero)
elif (a == ... | -7,539,930,612,907,431,000 | Return a/b and a%b
a and b are of length d-1 where d is the degree of the irreducible polynomial | mathTools/field.py | eucldiv | ecuvelier/PPAT | python | def eucldiv(self, a, b):
' Return a/b and a%b\n a and b are of length d-1 where d is the degree of the irreducible polynomial\n '
zero = self.F.zero()
izero = self.zero()
d = self.deg
assert (not b.poly.iszero())
if a.poly.iszero():
return (izero, izero)
elif (a == ... |
def reduc(self, a):
' Return a % self.irpoly\n The polynomial a = [a_0,...,a_n-1] is returned modulo the irreducible polynomial\n The reduced polynomial has length at most d-1 where d is the length\n of the irreducible polynomial\n '
assert (a.F.F == self.F)
if a.poly.iszero():
... | -6,581,890,971,430,029,000 | Return a % self.irpoly
The polynomial a = [a_0,...,a_n-1] is returned modulo the irreducible polynomial
The reduced polynomial has length at most d-1 where d is the length
of the irreducible polynomial | mathTools/field.py | reduc | ecuvelier/PPAT | python | def reduc(self, a):
' Return a % self.irpoly\n The polynomial a = [a_0,...,a_n-1] is returned modulo the irreducible polynomial\n The reduced polynomial has length at most d-1 where d is the length\n of the irreducible polynomial\n '
assert (a.F.F == self.F)
if a.poly.iszero():
... |
def reduc2(self, a):
' a is a list of length (d-1)*2-1 (polynomial length)\n this method returns the equivalent element of length d-1\n using the table of equivalences (build from the irreducible polynomial)\n in the function self.table()\n '
As = a[:(self.deg - 2)]
A... | 8,261,773,372,050,492,000 | a is a list of length (d-1)*2-1 (polynomial length)
this method returns the equivalent element of length d-1
using the table of equivalences (build from the irreducible polynomial)
in the function self.table() | mathTools/field.py | reduc2 | ecuvelier/PPAT | python | def reduc2(self, a):
' a is a list of length (d-1)*2-1 (polynomial length)\n this method returns the equivalent element of length d-1\n using the table of equivalences (build from the irreducible polynomial)\n in the function self.table()\n '
As = a[:(self.deg - 2)]
A... |
def trunc(self, a):
'Return an ExtensionFieldElem of length d-1 where d = deg(irpoly)\n '
d = self.deg
if (a.deg == (d - 1)):
return a
c = a.poly.coef[((a.deg - d) + 1):]
cp = polynom(self.F, c)
return ExtensionFieldElem(self, cp) | -675,842,933,097,962,800 | Return an ExtensionFieldElem of length d-1 where d = deg(irpoly) | mathTools/field.py | trunc | ecuvelier/PPAT | python | def trunc(self, a):
'\n '
d = self.deg
if (a.deg == (d - 1)):
return a
c = a.poly.coef[((a.deg - d) + 1):]
cp = polynom(self.F, c)
return ExtensionFieldElem(self, cp) |
def table(self):
' This method returns a table (usually) stored in self.tabular\n which is used to compute reduction after a multiplication\n between two elements\n '
d = self.deg
T = zeros(((d - 2), (d - 1)), dtype=object_)
Pc = self.irpoly.coef[1:]
for i in range(0, (d -... | 1,688,632,231,972,374,500 | This method returns a table (usually) stored in self.tabular
which is used to compute reduction after a multiplication
between two elements | mathTools/field.py | table | ecuvelier/PPAT | python | def table(self):
' This method returns a table (usually) stored in self.tabular\n which is used to compute reduction after a multiplication\n between two elements\n '
d = self.deg
T = zeros(((d - 2), (d - 1)), dtype=object_)
Pc = self.irpoly.coef[1:]
for i in range(0, (d -... |
def extendedeuclide(self, a, b):
'Return s,u,v such as s = ua + vb, s is the gcd of a and b\n This method is used to compute the inverse of a mod b (when s=1)\n '
one = self.one()
zero = self.zero()
s = a
u = one
v = zero
sp = b
up = zero
vp = one
while (not sp.poly... | 2,513,439,641,807,605,000 | Return s,u,v such as s = ua + vb, s is the gcd of a and b
This method is used to compute the inverse of a mod b (when s=1) | mathTools/field.py | extendedeuclide | ecuvelier/PPAT | python | def extendedeuclide(self, a, b):
'Return s,u,v such as s = ua + vb, s is the gcd of a and b\n This method is used to compute the inverse of a mod b (when s=1)\n '
one = self.one()
zero = self.zero()
s = a
u = one
v = zero
sp = b
up = zero
vp = one
while (not sp.poly... |
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