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
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@property
def mode(self):
'Mode of representation.\n\n This indicates the type of value returned\n by :meth:`fetch` and :meth:`__getitem__`.\n :class:`tuple`, :class:`dict`, and :obj:`None` are supported.\n '
raise NotImplementedError | 6,481,424,975,716,489,000 | Mode of representation.
This indicates the type of value returned
by :meth:`fetch` and :meth:`__getitem__`.
:class:`tuple`, :class:`dict`, and :obj:`None` are supported. | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | mode | HiroakiMikami/pytorch-pfn-extras | python | @property
def mode(self):
'Mode of representation.\n\n This indicates the type of value returned\n by :meth:`fetch` and :meth:`__getitem__`.\n :class:`tuple`, :class:`dict`, and :obj:`None` are supported.\n '
raise NotImplementedError |
def get_examples(self, indices, key_indices):
'Return a part of data.\n\n Args:\n indices (list of ints or slice): Indices of requested rows.\n If this argument is :obj:`None`, it indicates all rows.\n key_indices (tuple of ints): Indices of requested columns.\n ... | -9,071,879,419,892,109,000 | Return a part of data.
Args:
indices (list of ints or slice): Indices of requested rows.
If this argument is :obj:`None`, it indicates all rows.
key_indices (tuple of ints): Indices of requested columns.
If this argument is :obj:`None`, it indicates all columns.
Returns:
tuple of lists/arr... | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | get_examples | HiroakiMikami/pytorch-pfn-extras | python | def get_examples(self, indices, key_indices):
'Return a part of data.\n\n Args:\n indices (list of ints or slice): Indices of requested rows.\n If this argument is :obj:`None`, it indicates all rows.\n key_indices (tuple of ints): Indices of requested columns.\n ... |
@property
def slice(self):
'Get a slice of dataset.\n\n Args:\n indices (list/array of ints/bools or slice): Requested rows.\n keys (tuple of ints/strs or int or str): Requested columns.\n\n Returns:\n A view of specified range.\n '
return ppe.dataset.tabular.... | 3,540,850,432,536,848,400 | Get a slice of dataset.
Args:
indices (list/array of ints/bools or slice): Requested rows.
keys (tuple of ints/strs or int or str): Requested columns.
Returns:
A view of specified range. | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | slice | HiroakiMikami/pytorch-pfn-extras | python | @property
def slice(self):
'Get a slice of dataset.\n\n Args:\n indices (list/array of ints/bools or slice): Requested rows.\n keys (tuple of ints/strs or int or str): Requested columns.\n\n Returns:\n A view of specified range.\n '
return ppe.dataset.tabular.... |
def fetch(self):
"Fetch data.\n\n This method fetches all data of the dataset/view.\n Note that this method returns a column-major data\n (i.e. :obj:`([a[0], ..., a[3]], ..., [c[0], ... c[3]])`,\n :obj:`{'a': [a[0], ..., a[3]], ..., 'c': [c[0], ..., c[3]]}`, or\n :obj:`[a[0], ...,... | 4,498,244,487,840,596,000 | Fetch data.
This method fetches all data of the dataset/view.
Note that this method returns a column-major data
(i.e. :obj:`([a[0], ..., a[3]], ..., [c[0], ... c[3]])`,
:obj:`{'a': [a[0], ..., a[3]], ..., 'c': [c[0], ..., c[3]]}`, or
:obj:`[a[0], ..., a[3]]`).
Returns:
If :attr:`mode` is :class:`tuple`,
this ... | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | fetch | HiroakiMikami/pytorch-pfn-extras | python | def fetch(self):
"Fetch data.\n\n This method fetches all data of the dataset/view.\n Note that this method returns a column-major data\n (i.e. :obj:`([a[0], ..., a[3]], ..., [c[0], ... c[3]])`,\n :obj:`{'a': [a[0], ..., a[3]], ..., 'c': [c[0], ..., c[3]]}`, or\n :obj:`[a[0], ...,... |
def convert(self, data):
'Convert fetched data.\n\n This method takes data fetched by :meth:`fetch` and\n pre-process them before passing them to models.\n The default behaviour is converting each column into an ndarray.\n This behaviour can be overridden by :meth:`with_converter`.\n ... | -8,245,612,111,549,184,000 | Convert fetched data.
This method takes data fetched by :meth:`fetch` and
pre-process them before passing them to models.
The default behaviour is converting each column into an ndarray.
This behaviour can be overridden by :meth:`with_converter`.
If the dataset is constructed by :meth:`concat` or :meth:`join`,
the con... | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | convert | HiroakiMikami/pytorch-pfn-extras | python | def convert(self, data):
'Convert fetched data.\n\n This method takes data fetched by :meth:`fetch` and\n pre-process them before passing them to models.\n The default behaviour is converting each column into an ndarray.\n This behaviour can be overridden by :meth:`with_converter`.\n ... |
def astuple(self):
'Return a view with tuple mode.\n\n Returns:\n A view whose :attr:`mode` is :class:`tuple`.\n '
return ppe.dataset.tabular._asmode._Astuple(self) | 2,329,924,775,862,789,000 | Return a view with tuple mode.
Returns:
A view whose :attr:`mode` is :class:`tuple`. | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | astuple | HiroakiMikami/pytorch-pfn-extras | python | def astuple(self):
'Return a view with tuple mode.\n\n Returns:\n A view whose :attr:`mode` is :class:`tuple`.\n '
return ppe.dataset.tabular._asmode._Astuple(self) |
def asdict(self):
'Return a view with dict mode.\n\n Returns:\n A view whose :attr:`mode` is :class:`dict`.\n '
return ppe.dataset.tabular._asmode._Asdict(self) | -1,517,756,712,161,640,400 | Return a view with dict mode.
Returns:
A view whose :attr:`mode` is :class:`dict`. | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | asdict | HiroakiMikami/pytorch-pfn-extras | python | def asdict(self):
'Return a view with dict mode.\n\n Returns:\n A view whose :attr:`mode` is :class:`dict`.\n '
return ppe.dataset.tabular._asmode._Asdict(self) |
def concat(self, *datasets):
'Stack datasets along rows.\n\n Args:\n datasets (iterable of :class:`TabularDataset`):\n Datasets to be concatenated.\n All datasets must have the same :attr:`keys`.\n\n Returns:\n A concatenated dataset.\n '
... | -9,163,655,187,413,315,000 | Stack datasets along rows.
Args:
datasets (iterable of :class:`TabularDataset`):
Datasets to be concatenated.
All datasets must have the same :attr:`keys`.
Returns:
A concatenated dataset. | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | concat | HiroakiMikami/pytorch-pfn-extras | python | def concat(self, *datasets):
'Stack datasets along rows.\n\n Args:\n datasets (iterable of :class:`TabularDataset`):\n Datasets to be concatenated.\n All datasets must have the same :attr:`keys`.\n\n Returns:\n A concatenated dataset.\n '
... |
def join(self, *datasets):
'Stack datasets along columns.\n\n Args: datasets (iterable of :class:`TabularDataset`):\n Datasets to be concatenated.\n All datasets must have the same length\n\n Returns:\n A joined dataset.\n '
return ppe.dataset.tabula... | 4,727,159,130,820,419,000 | Stack datasets along columns.
Args: datasets (iterable of :class:`TabularDataset`):
Datasets to be concatenated.
All datasets must have the same length
Returns:
A joined dataset. | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | join | HiroakiMikami/pytorch-pfn-extras | python | def join(self, *datasets):
'Stack datasets along columns.\n\n Args: datasets (iterable of :class:`TabularDataset`):\n Datasets to be concatenated.\n All datasets must have the same length\n\n Returns:\n A joined dataset.\n '
return ppe.dataset.tabula... |
def transform(self, keys, transform):
'Apply a transform to each example.\n\n The transformations are a list where each element\n is a tuple that holds the transformation signature and\n a callable that is the transformation itself.\n\n The transformation signature is a tuple of 2 elemen... | 8,413,242,104,095,821,000 | Apply a transform to each example.
The transformations are a list where each element
is a tuple that holds the transformation signature and
a callable that is the transformation itself.
The transformation signature is a tuple of 2 elements with
the first one being the keys of the dataset that are taken
as inputs. And... | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | transform | HiroakiMikami/pytorch-pfn-extras | python | def transform(self, keys, transform):
'Apply a transform to each example.\n\n The transformations are a list where each element\n is a tuple that holds the transformation signature and\n a callable that is the transformation itself.\n\n The transformation signature is a tuple of 2 elemen... |
def transform_batch(self, keys, transform_batch):
'Apply a transform to examples.\n\n The transformations are a list where each element\n is a tuple that holds the transformation signature and\n a callable that is the transformation itself.\n\n The transformation signature is a tuple of ... | 7,518,417,866,828,272,000 | Apply a transform to examples.
The transformations are a list where each element
is a tuple that holds the transformation signature and
a callable that is the transformation itself.
The transformation signature is a tuple of 2 elements with
the first one being the keys of the dataset that are taken
as inputs. And the... | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | transform_batch | HiroakiMikami/pytorch-pfn-extras | python | def transform_batch(self, keys, transform_batch):
'Apply a transform to examples.\n\n The transformations are a list where each element\n is a tuple that holds the transformation signature and\n a callable that is the transformation itself.\n\n The transformation signature is a tuple of ... |
def with_converter(self, converter):
'Override the behaviour of :meth:`convert`.\n\n This method overrides :meth:`convert`.\n\n Args:\n converter (callable): A new converter.\n\n Returns:\n A dataset with the new converter.\n '
return ppe.dataset.tabular._with_c... | 5,333,493,650,766,142,000 | Override the behaviour of :meth:`convert`.
This method overrides :meth:`convert`.
Args:
converter (callable): A new converter.
Returns:
A dataset with the new converter. | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | with_converter | HiroakiMikami/pytorch-pfn-extras | python | def with_converter(self, converter):
'Override the behaviour of :meth:`convert`.\n\n This method overrides :meth:`convert`.\n\n Args:\n converter (callable): A new converter.\n\n Returns:\n A dataset with the new converter.\n '
return ppe.dataset.tabular._with_c... |
def __getitem__(self, index):
'Returns an example or a sequence of examples.\n It implements the standard Python indexing and one-dimensional integer\n array indexing. It uses the :meth:`get_example` method by default, but\n it may be overridden by the implementation to, for example, improve th... | 6,519,675,880,091,241,000 | Returns an example or a sequence of examples.
It implements the standard Python indexing and one-dimensional integer
array indexing. It uses the :meth:`get_example` method by default, but
it may be overridden by the implementation to, for example, improve the
slicing performance.
Args:
index (int, slice, list or nu... | pytorch_pfn_extras/dataset/tabular/tabular_dataset.py | __getitem__ | HiroakiMikami/pytorch-pfn-extras | python | def __getitem__(self, index):
'Returns an example or a sequence of examples.\n It implements the standard Python indexing and one-dimensional integer\n array indexing. It uses the :meth:`get_example` method by default, but\n it may be overridden by the implementation to, for example, improve th... |
def _fix_sys_path(script_path):
"Add the script's folder to the sys path.\n\n Python normally does this automatically, but since we exec the script\n ourselves we need to do it instead.\n "
sys.path.insert(0, os.path.dirname(script_path)) | 7,402,760,777,040,301,000 | Add the script's folder to the sys path.
Python normally does this automatically, but since we exec the script
ourselves we need to do it instead. | notebook/lib/python3.9/site-packages/streamlit/bootstrap.py | _fix_sys_path | Deepanjalkumar/Attacksurfacemanagement | python | def _fix_sys_path(script_path):
"Add the script's folder to the sys path.\n\n Python normally does this automatically, but since we exec the script\n ourselves we need to do it instead.\n "
sys.path.insert(0, os.path.dirname(script_path)) |
def _fix_matplotlib_crash():
"Set Matplotlib backend to avoid a crash.\n\n The default Matplotlib backend crashes Python on OSX when run on a thread\n that's not the main thread, so here we set a safer backend as a fix.\n Users can always disable this behavior by setting the config\n runner.fixMatplotli... | 901,468,904,473,203,000 | Set Matplotlib backend to avoid a crash.
The default Matplotlib backend crashes Python on OSX when run on a thread
that's not the main thread, so here we set a safer backend as a fix.
Users can always disable this behavior by setting the config
runner.fixMatplotlib = false.
This fix is OS-independent. We didn't see a... | notebook/lib/python3.9/site-packages/streamlit/bootstrap.py | _fix_matplotlib_crash | Deepanjalkumar/Attacksurfacemanagement | python | def _fix_matplotlib_crash():
"Set Matplotlib backend to avoid a crash.\n\n The default Matplotlib backend crashes Python on OSX when run on a thread\n that's not the main thread, so here we set a safer backend as a fix.\n Users can always disable this behavior by setting the config\n runner.fixMatplotli... |
def _fix_tornado_crash():
'Set default asyncio policy to be compatible with Tornado 6.\n\n Tornado 6 (at least) is not compatible with the default\n asyncio implementation on Windows. So here we\n pick the older SelectorEventLoopPolicy when the OS is Windows\n if the known-incompatible default policy is... | 4,316,309,139,046,760,400 | Set default asyncio policy to be compatible with Tornado 6.
Tornado 6 (at least) is not compatible with the default
asyncio implementation on Windows. So here we
pick the older SelectorEventLoopPolicy when the OS is Windows
if the known-incompatible default policy is in use.
This has to happen as early as possible to... | notebook/lib/python3.9/site-packages/streamlit/bootstrap.py | _fix_tornado_crash | Deepanjalkumar/Attacksurfacemanagement | python | def _fix_tornado_crash():
'Set default asyncio policy to be compatible with Tornado 6.\n\n Tornado 6 (at least) is not compatible with the default\n asyncio implementation on Windows. So here we\n pick the older SelectorEventLoopPolicy when the OS is Windows\n if the known-incompatible default policy is... |
def _fix_sys_argv(script_path, args):
"sys.argv needs to exclude streamlit arguments and parameters\n and be set to what a user's script may expect.\n "
import sys
sys.argv = ([script_path] + list(args)) | -674,952,883,092,193,500 | sys.argv needs to exclude streamlit arguments and parameters
and be set to what a user's script may expect. | notebook/lib/python3.9/site-packages/streamlit/bootstrap.py | _fix_sys_argv | Deepanjalkumar/Attacksurfacemanagement | python | def _fix_sys_argv(script_path, args):
"sys.argv needs to exclude streamlit arguments and parameters\n and be set to what a user's script may expect.\n "
import sys
sys.argv = ([script_path] + list(args)) |
def _fix_pydeck_mapbox_api_warning():
'Sets MAPBOX_API_KEY environment variable needed for PyDeck otherwise it will throw an exception'
os.environ['MAPBOX_API_KEY'] = config.get_option('mapbox.token') | 2,014,555,495,941,573,000 | Sets MAPBOX_API_KEY environment variable needed for PyDeck otherwise it will throw an exception | notebook/lib/python3.9/site-packages/streamlit/bootstrap.py | _fix_pydeck_mapbox_api_warning | Deepanjalkumar/Attacksurfacemanagement | python | def _fix_pydeck_mapbox_api_warning():
os.environ['MAPBOX_API_KEY'] = config.get_option('mapbox.token') |
def _maybe_print_old_git_warning(script_path: str) -> None:
"If our script is running in a Git repo, and we're running a very old\n Git version, print a warning that Git integration will be unavailable.\n "
repo = GitRepo(script_path)
if ((not repo.is_valid()) and (repo.git_version is not None) and (r... | -3,466,808,207,749,236,700 | If our script is running in a Git repo, and we're running a very old
Git version, print a warning that Git integration will be unavailable. | notebook/lib/python3.9/site-packages/streamlit/bootstrap.py | _maybe_print_old_git_warning | Deepanjalkumar/Attacksurfacemanagement | python | def _maybe_print_old_git_warning(script_path: str) -> None:
"If our script is running in a Git repo, and we're running a very old\n Git version, print a warning that Git integration will be unavailable.\n "
repo = GitRepo(script_path)
if ((not repo.is_valid()) and (repo.git_version is not None) and (r... |
def load_config_options(flag_options: Dict[(str, Any)]):
'Load config options from config.toml files, then overlay the ones set by\n flag_options.\n\n The "streamlit run" command supports passing Streamlit\'s config options\n as flags. This function reads through the config options set via flag,\n massa... | 4,179,268,150,167,291,400 | Load config options from config.toml files, then overlay the ones set by
flag_options.
The "streamlit run" command supports passing Streamlit's config options
as flags. This function reads through the config options set via flag,
massages them, and passes them to get_config_options() so that they
overwrite config opti... | notebook/lib/python3.9/site-packages/streamlit/bootstrap.py | load_config_options | Deepanjalkumar/Attacksurfacemanagement | python | def load_config_options(flag_options: Dict[(str, Any)]):
'Load config options from config.toml files, then overlay the ones set by\n flag_options.\n\n The "streamlit run" command supports passing Streamlit\'s config options\n as flags. This function reads through the config options set via flag,\n massa... |
def run(script_path, command_line, args, flag_options):
'Run a script in a separate thread and start a server for the app.\n\n This starts a blocking ioloop.\n\n Parameters\n ----------\n script_path : str\n command_line : str\n args : [str]\n flag_options : Dict[str, Any]\n '
_fix_sys_p... | 1,975,938,148,645,434,000 | Run a script in a separate thread and start a server for the app.
This starts a blocking ioloop.
Parameters
----------
script_path : str
command_line : str
args : [str]
flag_options : Dict[str, Any] | notebook/lib/python3.9/site-packages/streamlit/bootstrap.py | run | Deepanjalkumar/Attacksurfacemanagement | python | def run(script_path, command_line, args, flag_options):
'Run a script in a separate thread and start a server for the app.\n\n This starts a blocking ioloop.\n\n Parameters\n ----------\n script_path : str\n command_line : str\n args : [str]\n flag_options : Dict[str, Any]\n '
_fix_sys_p... |
def gradients(vals, func, releps=0.001, abseps=None, mineps=1e-09, reltol=1, epsscale=0.5):
'\n Calculate the partial derivatives of a function at a set of values. The\n derivatives are calculated using the central difference, using an iterative\n method to check that the values converge as step size decre... | -5,688,202,814,726,371,000 | Calculate the partial derivatives of a function at a set of values. The
derivatives are calculated using the central difference, using an iterative
method to check that the values converge as step size decreases.
Parameters
----------
vals: array_like
A set of values, that are passed to a function, at which to cal... | LoopStructural/probability/_gradient_calculator.py | gradients | Loop3D/LoopStructural | python | def gradients(vals, func, releps=0.001, abseps=None, mineps=1e-09, reltol=1, epsscale=0.5):
'\n Calculate the partial derivatives of a function at a set of values. The\n derivatives are calculated using the central difference, using an iterative\n method to check that the values converge as step size decre... |
def couple(lst1, lst2):
"Return a list that contains lists with i-th elements of two sequences\n coupled together.\n >>> lst1 = [1, 2, 3]\n >>> lst2 = [4, 5, 6]\n >>> couple(lst1, lst2)\n [[1, 4], [2, 5], [3, 6]]\n >>> lst3 = ['c', 6]\n >>> lst4 = ['s', '1']\n >>> couple(lst3, lst4)\n [['... | 6,645,344,682,957,890,000 | Return a list that contains lists with i-th elements of two sequences
coupled together.
>>> lst1 = [1, 2, 3]
>>> lst2 = [4, 5, 6]
>>> couple(lst1, lst2)
[[1, 4], [2, 5], [3, 6]]
>>> lst3 = ['c', 6]
>>> lst4 = ['s', '1']
>>> couple(lst3, lst4)
[['c', 's'], [6, '1']] | lab/lab05/lab05.py | couple | weijiew/cs61a | python | def couple(lst1, lst2):
"Return a list that contains lists with i-th elements of two sequences\n coupled together.\n >>> lst1 = [1, 2, 3]\n >>> lst2 = [4, 5, 6]\n >>> couple(lst1, lst2)\n [[1, 4], [2, 5], [3, 6]]\n >>> lst3 = ['c', 6]\n >>> lst4 = ['s', '1']\n >>> couple(lst3, lst4)\n [['... |
def distance(city1, city2):
"\n >>> city1 = make_city('city1', 0, 1)\n >>> city2 = make_city('city2', 0, 2)\n >>> distance(city1, city2)\n 1.0\n >>> city3 = make_city('city3', 6.5, 12)\n >>> city4 = make_city('city4', 2.5, 15)\n >>> distance(city3, city4)\n 5.0\n "
(x1, y1) = (get_lat... | 5,752,097,178,087,292,000 | >>> city1 = make_city('city1', 0, 1)
>>> city2 = make_city('city2', 0, 2)
>>> distance(city1, city2)
1.0
>>> city3 = make_city('city3', 6.5, 12)
>>> city4 = make_city('city4', 2.5, 15)
>>> distance(city3, city4)
5.0 | lab/lab05/lab05.py | distance | weijiew/cs61a | python | def distance(city1, city2):
"\n >>> city1 = make_city('city1', 0, 1)\n >>> city2 = make_city('city2', 0, 2)\n >>> distance(city1, city2)\n 1.0\n >>> city3 = make_city('city3', 6.5, 12)\n >>> city4 = make_city('city4', 2.5, 15)\n >>> distance(city3, city4)\n 5.0\n "
(x1, y1) = (get_lat... |
def closer_city(lat, lon, city1, city2):
"\n Returns the name of either city1 or city2, whichever is closest to\n coordinate (lat, lon).\n\n >>> berkeley = make_city('Berkeley', 37.87, 112.26)\n >>> stanford = make_city('Stanford', 34.05, 118.25)\n >>> closer_city(38.33, 121.44, berkeley, stanford)\n... | 5,909,678,910,041,403,000 | Returns the name of either city1 or city2, whichever is closest to
coordinate (lat, lon).
>>> berkeley = make_city('Berkeley', 37.87, 112.26)
>>> stanford = make_city('Stanford', 34.05, 118.25)
>>> closer_city(38.33, 121.44, berkeley, stanford)
'Stanford'
>>> bucharest = make_city('Bucharest', 44.43, 26.10)
>>> vienna... | lab/lab05/lab05.py | closer_city | weijiew/cs61a | python | def closer_city(lat, lon, city1, city2):
"\n Returns the name of either city1 or city2, whichever is closest to\n coordinate (lat, lon).\n\n >>> berkeley = make_city('Berkeley', 37.87, 112.26)\n >>> stanford = make_city('Stanford', 34.05, 118.25)\n >>> closer_city(38.33, 121.44, berkeley, stanford)\n... |
def check_abstraction():
"\n There's nothing for you to do for this function, it's just here for the extra doctest\n >>> change_abstraction(True)\n >>> city1 = make_city('city1', 0, 1)\n >>> city2 = make_city('city2', 0, 2)\n >>> distance(city1, city2)\n 1.0\n >>> city3 = make_city('city3', 6.5... | 7,676,074,233,030,160,000 | There's nothing for you to do for this function, it's just here for the extra doctest
>>> change_abstraction(True)
>>> city1 = make_city('city1', 0, 1)
>>> city2 = make_city('city2', 0, 2)
>>> distance(city1, city2)
1.0
>>> city3 = make_city('city3', 6.5, 12)
>>> city4 = make_city('city4', 2.5, 15)
>>> distance(city3, ... | lab/lab05/lab05.py | check_abstraction | weijiew/cs61a | python | def check_abstraction():
"\n There's nothing for you to do for this function, it's just here for the extra doctest\n >>> change_abstraction(True)\n >>> city1 = make_city('city1', 0, 1)\n >>> city2 = make_city('city2', 0, 2)\n >>> distance(city1, city2)\n 1.0\n >>> city3 = make_city('city3', 6.5... |
def make_city(name, lat, lon):
"\n >>> city = make_city('Berkeley', 0, 1)\n >>> get_name(city)\n 'Berkeley'\n >>> get_lat(city)\n 0\n >>> get_lon(city)\n 1\n "
if change_abstraction.changed:
return {'name': name, 'lat': lat, 'lon': lon}
else:
return [name, lat, lon] | 4,689,566,000,169,289,000 | >>> city = make_city('Berkeley', 0, 1)
>>> get_name(city)
'Berkeley'
>>> get_lat(city)
0
>>> get_lon(city)
1 | lab/lab05/lab05.py | make_city | weijiew/cs61a | python | def make_city(name, lat, lon):
"\n >>> city = make_city('Berkeley', 0, 1)\n >>> get_name(city)\n 'Berkeley'\n >>> get_lat(city)\n 0\n >>> get_lon(city)\n 1\n "
if change_abstraction.changed:
return {'name': name, 'lat': lat, 'lon': lon}
else:
return [name, lat, lon] |
def get_name(city):
"\n >>> city = make_city('Berkeley', 0, 1)\n >>> get_name(city)\n 'Berkeley'\n "
if change_abstraction.changed:
return city['name']
else:
return city[0] | 460,446,731,083,844,100 | >>> city = make_city('Berkeley', 0, 1)
>>> get_name(city)
'Berkeley' | lab/lab05/lab05.py | get_name | weijiew/cs61a | python | def get_name(city):
"\n >>> city = make_city('Berkeley', 0, 1)\n >>> get_name(city)\n 'Berkeley'\n "
if change_abstraction.changed:
return city['name']
else:
return city[0] |
def get_lat(city):
"\n >>> city = make_city('Berkeley', 0, 1)\n >>> get_lat(city)\n 0\n "
if change_abstraction.changed:
return city['lat']
else:
return city[1] | -763,576,806,966,212,000 | >>> city = make_city('Berkeley', 0, 1)
>>> get_lat(city)
0 | lab/lab05/lab05.py | get_lat | weijiew/cs61a | python | def get_lat(city):
"\n >>> city = make_city('Berkeley', 0, 1)\n >>> get_lat(city)\n 0\n "
if change_abstraction.changed:
return city['lat']
else:
return city[1] |
def get_lon(city):
"\n >>> city = make_city('Berkeley', 0, 1)\n >>> get_lon(city)\n 1\n "
if change_abstraction.changed:
return city['lon']
else:
return city[2] | -1,493,669,833,233,132,000 | >>> city = make_city('Berkeley', 0, 1)
>>> get_lon(city)
1 | lab/lab05/lab05.py | get_lon | weijiew/cs61a | python | def get_lon(city):
"\n >>> city = make_city('Berkeley', 0, 1)\n >>> get_lon(city)\n 1\n "
if change_abstraction.changed:
return city['lon']
else:
return city[2] |
def nut_finder(t):
"Returns True if t contains a node with the value 'nut' and\n False otherwise.\n\n >>> scrat = tree('nut')\n >>> nut_finder(scrat)\n True\n >>> sproul = tree('roots', [tree('branch1', [tree('leaf'), tree('nut')]), tree('branch2')])\n >>> nut_finder(sproul)\n True\n >>> num... | 4,750,845,568,511,252,000 | Returns True if t contains a node with the value 'nut' and
False otherwise.
>>> scrat = tree('nut')
>>> nut_finder(scrat)
True
>>> sproul = tree('roots', [tree('branch1', [tree('leaf'), tree('nut')]), tree('branch2')])
>>> nut_finder(sproul)
True
>>> numbers = tree(1, [tree(2), tree(3, [tree(4), tree(5)]), tree(6, [tr... | lab/lab05/lab05.py | nut_finder | weijiew/cs61a | python | def nut_finder(t):
"Returns True if t contains a node with the value 'nut' and\n False otherwise.\n\n >>> scrat = tree('nut')\n >>> nut_finder(scrat)\n True\n >>> sproul = tree('roots', [tree('branch1', [tree('leaf'), tree('nut')]), tree('branch2')])\n >>> nut_finder(sproul)\n True\n >>> num... |
def sprout_leaves(t, values):
'Sprout new leaves containing the data in values at each leaf in\n the original tree t and return the resulting tree.\n\n >>> t1 = tree(1, [tree(2), tree(3)])\n >>> print_tree(t1)\n 1\n 2\n 3\n >>> new1 = sprout_leaves(t1, [4, 5])\n >>> print_tree(new1)\n ... | -7,956,871,296,061,474,000 | Sprout new leaves containing the data in values at each leaf in
the original tree t and return the resulting tree.
>>> t1 = tree(1, [tree(2), tree(3)])
>>> print_tree(t1)
1
2
3
>>> new1 = sprout_leaves(t1, [4, 5])
>>> print_tree(new1)
1
2
4
5
3
4
5
>>> t2 = tree(1, [tree(2, [tree(3)])])
>>> pr... | lab/lab05/lab05.py | sprout_leaves | weijiew/cs61a | python | def sprout_leaves(t, values):
'Sprout new leaves containing the data in values at each leaf in\n the original tree t and return the resulting tree.\n\n >>> t1 = tree(1, [tree(2), tree(3)])\n >>> print_tree(t1)\n 1\n 2\n 3\n >>> new1 = sprout_leaves(t1, [4, 5])\n >>> print_tree(new1)\n ... |
def tree(label, branches=[]):
'Construct a tree with the given label value and a list of branches.'
for branch in branches:
assert is_tree(branch), 'branches must be trees'
return ([label] + list(branches)) | 2,953,853,968,114,559,000 | Construct a tree with the given label value and a list of branches. | lab/lab05/lab05.py | tree | weijiew/cs61a | python | def tree(label, branches=[]):
for branch in branches:
assert is_tree(branch), 'branches must be trees'
return ([label] + list(branches)) |
def label(tree):
'Return the label value of a tree.'
return tree[0] | 4,737,495,565,978,606,000 | Return the label value of a tree. | lab/lab05/lab05.py | label | weijiew/cs61a | python | def label(tree):
return tree[0] |
def branches(tree):
'Return the list of branches of the given tree.'
return tree[1:] | 7,668,930,889,431,274,000 | Return the list of branches of the given tree. | lab/lab05/lab05.py | branches | weijiew/cs61a | python | def branches(tree):
return tree[1:] |
def is_tree(tree):
'Returns True if the given tree is a tree, and False otherwise.'
if ((type(tree) != list) or (len(tree) < 1)):
return False
for branch in branches(tree):
if (not is_tree(branch)):
return False
return True | -5,480,379,214,850,312,000 | Returns True if the given tree is a tree, and False otherwise. | lab/lab05/lab05.py | is_tree | weijiew/cs61a | python | def is_tree(tree):
if ((type(tree) != list) or (len(tree) < 1)):
return False
for branch in branches(tree):
if (not is_tree(branch)):
return False
return True |
def is_leaf(tree):
"Returns True if the given tree's list of branches is empty, and False\n otherwise.\n "
return (not branches(tree)) | -3,935,306,139,317,841,000 | Returns True if the given tree's list of branches is empty, and False
otherwise. | lab/lab05/lab05.py | is_leaf | weijiew/cs61a | python | def is_leaf(tree):
"Returns True if the given tree's list of branches is empty, and False\n otherwise.\n "
return (not branches(tree)) |
def print_tree(t, indent=0):
'Print a representation of this tree in which each node is\n indented by two spaces times its depth from the root.\n\n >>> print_tree(tree(1))\n 1\n >>> print_tree(tree(1, [tree(2)]))\n 1\n 2\n >>> numbers = tree(1, [tree(2), tree(3, [tree(4), tree(5)]), tree(6, [... | -5,713,328,670,943,918,000 | Print a representation of this tree in which each node is
indented by two spaces times its depth from the root.
>>> print_tree(tree(1))
1
>>> print_tree(tree(1, [tree(2)]))
1
2
>>> numbers = tree(1, [tree(2), tree(3, [tree(4), tree(5)]), tree(6, [tree(7)])])
>>> print_tree(numbers)
1
2
3
4
5
6
7 | lab/lab05/lab05.py | print_tree | weijiew/cs61a | python | def print_tree(t, indent=0):
'Print a representation of this tree in which each node is\n indented by two spaces times its depth from the root.\n\n >>> print_tree(tree(1))\n 1\n >>> print_tree(tree(1, [tree(2)]))\n 1\n 2\n >>> numbers = tree(1, [tree(2), tree(3, [tree(4), tree(5)]), tree(6, [... |
def copy_tree(t):
'Returns a copy of t. Only for testing purposes.\n\n >>> t = tree(5)\n >>> copy = copy_tree(t)\n >>> t = tree(6)\n >>> print_tree(copy)\n 5\n '
return tree(label(t), [copy_tree(b) for b in branches(t)]) | -3,218,421,863,158,620,700 | Returns a copy of t. Only for testing purposes.
>>> t = tree(5)
>>> copy = copy_tree(t)
>>> t = tree(6)
>>> print_tree(copy)
5 | lab/lab05/lab05.py | copy_tree | weijiew/cs61a | python | def copy_tree(t):
'Returns a copy of t. Only for testing purposes.\n\n >>> t = tree(5)\n >>> copy = copy_tree(t)\n >>> t = tree(6)\n >>> print_tree(copy)\n 5\n '
return tree(label(t), [copy_tree(b) for b in branches(t)]) |
def add_chars(w1, w2):
'\n Return a string containing the characters you need to add to w1 to get w2.\n\n You may assume that w1 is a subsequence of w2.\n\n >>> add_chars("owl", "howl")\n \'h\'\n >>> add_chars("want", "wanton")\n \'on\'\n >>> add_chars("rat", "radiate")\n \'diae\'\n >>> a... | 8,587,130,409,299,641,000 | Return a string containing the characters you need to add to w1 to get w2.
You may assume that w1 is a subsequence of w2.
>>> add_chars("owl", "howl")
'h'
>>> add_chars("want", "wanton")
'on'
>>> add_chars("rat", "radiate")
'diae'
>>> add_chars("a", "prepare")
'prepre'
>>> add_chars("resin", "recursion")
'curo'
>>> a... | lab/lab05/lab05.py | add_chars | weijiew/cs61a | python | def add_chars(w1, w2):
'\n Return a string containing the characters you need to add to w1 to get w2.\n\n You may assume that w1 is a subsequence of w2.\n\n >>> add_chars("owl", "howl")\n \'h\'\n >>> add_chars("want", "wanton")\n \'on\'\n >>> add_chars("rat", "radiate")\n \'diae\'\n >>> a... |
def add_trees(t1, t2):
'\n >>> numbers = tree(1,\n ... [tree(2,\n ... [tree(3),\n ... tree(4)]),\n ... tree(5,\n ... [tree(6,\n ... [tree(7)]),\n ... ... | -3,282,762,069,251,459,000 | >>> numbers = tree(1,
... [tree(2,
... [tree(3),
... tree(4)]),
... tree(5,
... [tree(6,
... [tree(7)]),
... tree(8)])])
>>> print_tree(add_trees(numbers, numbers))
2
4
6... | lab/lab05/lab05.py | add_trees | weijiew/cs61a | python | def add_trees(t1, t2):
'\n >>> numbers = tree(1,\n ... [tree(2,\n ... [tree(3),\n ... tree(4)]),\n ... tree(5,\n ... [tree(6,\n ... [tree(7)]),\n ... ... |
def build_successors_table(tokens):
"Return a dictionary: keys are words; values are lists of successors.\n\n >>> text = ['We', 'came', 'to', 'investigate', ',', 'catch', 'bad', 'guys', 'and', 'to', 'eat', 'pie', '.']\n >>> table = build_successors_table(text)\n >>> sorted(table)\n [',', '.', 'We', 'and... | -2,718,429,813,578,603,000 | Return a dictionary: keys are words; values are lists of successors.
>>> text = ['We', 'came', 'to', 'investigate', ',', 'catch', 'bad', 'guys', 'and', 'to', 'eat', 'pie', '.']
>>> table = build_successors_table(text)
>>> sorted(table)
[',', '.', 'We', 'and', 'bad', 'came', 'catch', 'eat', 'guys', 'investigate', 'pie'... | lab/lab05/lab05.py | build_successors_table | weijiew/cs61a | python | def build_successors_table(tokens):
"Return a dictionary: keys are words; values are lists of successors.\n\n >>> text = ['We', 'came', 'to', 'investigate', ',', 'catch', 'bad', 'guys', 'and', 'to', 'eat', 'pie', '.']\n >>> table = build_successors_table(text)\n >>> sorted(table)\n [',', '.', 'We', 'and... |
def construct_sent(word, table):
"Prints a random sentence starting with word, sampling from\n table.\n\n >>> table = {'Wow': ['!'], 'Sentences': ['are'], 'are': ['cool'], 'cool': ['.']}\n >>> construct_sent('Wow', table)\n 'Wow!'\n >>> construct_sent('Sentences', table)\n 'Sentences are cool.'\n ... | -3,923,192,067,224,500,000 | Prints a random sentence starting with word, sampling from
table.
>>> table = {'Wow': ['!'], 'Sentences': ['are'], 'are': ['cool'], 'cool': ['.']}
>>> construct_sent('Wow', table)
'Wow!'
>>> construct_sent('Sentences', table)
'Sentences are cool.' | lab/lab05/lab05.py | construct_sent | weijiew/cs61a | python | def construct_sent(word, table):
"Prints a random sentence starting with word, sampling from\n table.\n\n >>> table = {'Wow': ['!'], 'Sentences': ['are'], 'are': ['cool'], 'cool': ['.']}\n >>> construct_sent('Wow', table)\n 'Wow!'\n >>> construct_sent('Sentences', table)\n 'Sentences are cool.'\n ... |
def shakespeare_tokens(path='shakespeare.txt', url='http://composingprograms.com/shakespeare.txt'):
"Return the words of Shakespeare's plays as a list."
import os
from urllib.request import urlopen
if os.path.exists(path):
return open('shakespeare.txt', encoding='ascii').read().split()
else:... | 1,566,796,944,794,258,000 | Return the words of Shakespeare's plays as a list. | lab/lab05/lab05.py | shakespeare_tokens | weijiew/cs61a | python | def shakespeare_tokens(path='shakespeare.txt', url='http://composingprograms.com/shakespeare.txt'):
import os
from urllib.request import urlopen
if os.path.exists(path):
return open('shakespeare.txt', encoding='ascii').read().split()
else:
shakespeare = urlopen(url)
return s... |
def __init__(self, name: str, cloud_device_id: Optional[str], type_name: EntityType, fields: List[EntityField], is_reporting: bool, guid: Optional[str]=None, metadata: Optional[Dict[(str, str)]]=None):
"Init.\n\n Args:\n name: the entity's name.\n cloud_device_id: Device id iot core or any iot applicat... | 8,463,877,923,377,424,000 | Init.
Args:
name: the entity's name.
cloud_device_id: Device id iot core or any iot application.
type_name: DBO entity type stored in EntityType instance.
fields: List of standard field names.
is_reporting: if an entity maps 1:1 to a reporting device, it is a
reporting entity.
guid: [Optional] Universa... | tools/concrete_model/model/entity.py | __init__ | ghairapetian/digitalbuildings | python | def __init__(self, name: str, cloud_device_id: Optional[str], type_name: EntityType, fields: List[EntityField], is_reporting: bool, guid: Optional[str]=None, metadata: Optional[Dict[(str, str)]]=None):
"Init.\n\n Args:\n name: the entity's name.\n cloud_device_id: Device id iot core or any iot applicat... |
@classmethod
def FromDict(cls, entity_dict: Dict[(str, object)]):
'class method to create an instance of Entity from mapping of entity attributes to values.\n\n Args:\n entity_dict: dictionary mapping field attributes to values from a\n loadsheet or building configuration.\n\n Returns:\n An i... | -6,018,446,563,130,544,000 | class method to create an instance of Entity from mapping of entity attributes to values.
Args:
entity_dict: dictionary mapping field attributes to values from a
loadsheet or building configuration.
Returns:
An instance of Entity class. | tools/concrete_model/model/entity.py | FromDict | ghairapetian/digitalbuildings | python | @classmethod
def FromDict(cls, entity_dict: Dict[(str, object)]):
'class method to create an instance of Entity from mapping of entity attributes to values.\n\n Args:\n entity_dict: dictionary mapping field attributes to values from a\n loadsheet or building configuration.\n\n Returns:\n An i... |
@property
def fields(self) -> Dict[(str, EntityField)]:
'Returns a mapping of standard field names to EntityField instances associated with self.'
return self._fields | 1,322,555,290,743,449,300 | Returns a mapping of standard field names to EntityField instances associated with self. | tools/concrete_model/model/entity.py | fields | ghairapetian/digitalbuildings | python | @property
def fields(self) -> Dict[(str, EntityField)]:
return self._fields |
@fields.setter
def fields(self, new_fields: Dict[(str, EntityField)]) -> None:
'Validates that each value of new_fields is an instance of EntityField class and sets.\n\n Arguments:\n new_fields: A mapping of standard field names to EntityField instances.\n ' | -1,757,987,839,824,743,700 | Validates that each value of new_fields is an instance of EntityField class and sets.
Arguments:
new_fields: A mapping of standard field names to EntityField instances. | tools/concrete_model/model/entity.py | fields | ghairapetian/digitalbuildings | python | @fields.setter
def fields(self, new_fields: Dict[(str, EntityField)]) -> None:
'Validates that each value of new_fields is an instance of EntityField class and sets.\n\n Arguments:\n new_fields: A mapping of standard field names to EntityField instances.\n ' |
@property
def guid(self) -> str:
'Returns the GUID associated with self.'
return self._guid | 4,325,422,431,556,203,500 | Returns the GUID associated with self. | tools/concrete_model/model/entity.py | guid | ghairapetian/digitalbuildings | python | @property
def guid(self) -> str:
return self._guid |
@guid.setter
def guid(self, guid: Optional[str]=None) -> None:
'If guid argument is none, generate a new guid for set or just set if none.\n\n Args:\n guid: [Optional] A UUID string.\n ' | 4,728,215,185,178,931,000 | If guid argument is none, generate a new guid for set or just set if none.
Args:
guid: [Optional] A UUID string. | tools/concrete_model/model/entity.py | guid | ghairapetian/digitalbuildings | python | @guid.setter
def guid(self, guid: Optional[str]=None) -> None:
'If guid argument is none, generate a new guid for set or just set if none.\n\n Args:\n guid: [Optional] A UUID string.\n ' |
def safe_quotes(text, escape_single_quotes=False):
'htmlify string'
if isinstance(text, str):
safe_text = text.replace('"', '"')
if escape_single_quotes:
safe_text = safe_text.replace("'", "\'")
return safe_text.replace('True', 'true')
return text | -5,689,330,192,420,735,000 | htmlify string | cartoframes/viz/html/utils.py | safe_quotes | CartoDB/cartoframes | python | def safe_quotes(text, escape_single_quotes=False):
if isinstance(text, str):
safe_text = text.replace('"', '"')
if escape_single_quotes:
safe_text = safe_text.replace("'", "\'")
return safe_text.replace('True', 'true')
return text |
def test_shard_genesis_fork_fork(self):
' Test shard forks at genesis blocks due to root chain fork at GENESIS.ROOT_HEIGHT'
acc1 = Address.create_random_account(0)
acc2 = Address.create_random_account(1)
genesis_root_heights = {2: 0, 3: 1}
with ClusterContext(2, acc1, chain_size=1, shard_size=2, gen... | -2,042,348,012,184,034,800 | Test shard forks at genesis blocks due to root chain fork at GENESIS.ROOT_HEIGHT | quarkchain/cluster/tests/test_cluster.py | test_shard_genesis_fork_fork | Belgarion/pyquarkchain_cuda | python | def test_shard_genesis_fork_fork(self):
' '
acc1 = Address.create_random_account(0)
acc2 = Address.create_random_account(1)
genesis_root_heights = {2: 0, 3: 1}
with ClusterContext(2, acc1, chain_size=1, shard_size=2, genesis_root_heights=genesis_root_heights) as clusters:
clusters[1].peer.cl... |
def test_broadcast_cross_shard_transactions(self):
' Test the cross shard transactions are broadcasted to the destination shards '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
acc3 = Address.create_random_account(full_shard_key=1)
with ClusterCon... | -8,231,601,325,534,709,000 | Test the cross shard transactions are broadcasted to the destination shards | quarkchain/cluster/tests/test_cluster.py | test_broadcast_cross_shard_transactions | Belgarion/pyquarkchain_cuda | python | def test_broadcast_cross_shard_transactions(self):
' '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
acc3 = Address.create_random_account(full_shard_key=1)
with ClusterContext(1, acc1) as clusters:
master = clusters[0].master
slav... |
def test_broadcast_cross_shard_transactions_to_neighbor_only(self):
' Test the broadcast is only done to the neighbors '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(1, acc1, shard_size=64, num_slaves=4) as clusters:
maste... | 2,652,062,782,321,459,700 | Test the broadcast is only done to the neighbors | quarkchain/cluster/tests/test_cluster.py | test_broadcast_cross_shard_transactions_to_neighbor_only | Belgarion/pyquarkchain_cuda | python | def test_broadcast_cross_shard_transactions_to_neighbor_only(self):
' '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(1, acc1, shard_size=64, num_slaves=4) as clusters:
master = clusters[0].master
root_block = call... |
def test_get_root_block_headers_with_skip(self):
' Test the broadcast is only done to the neighbors '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1) as clusters:
master = clusters[0].master
root_block_header... | -1,659,318,232,538,599,400 | Test the broadcast is only done to the neighbors | quarkchain/cluster/tests/test_cluster.py | test_get_root_block_headers_with_skip | Belgarion/pyquarkchain_cuda | python | def test_get_root_block_headers_with_skip(self):
' '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1) as clusters:
master = clusters[0].master
root_block_header_list = [master.root_state.tip]
for i in... |
def test_get_root_block_header_sync_from_genesis(self):
' Test the broadcast is only done to the neighbors '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1, connect=False) as clusters:
master = clusters[0].master
... | 6,604,767,233,400,697,000 | Test the broadcast is only done to the neighbors | quarkchain/cluster/tests/test_cluster.py | test_get_root_block_header_sync_from_genesis | Belgarion/pyquarkchain_cuda | python | def test_get_root_block_header_sync_from_genesis(self):
' '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1, connect=False) as clusters:
master = clusters[0].master
root_block_header_list = [master.root_state... |
def test_get_root_block_header_sync_from_height_3(self):
' Test the broadcast is only done to the neighbors '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1, connect=False) as clusters:
master0 = clusters[0].master
... | 7,170,750,119,003,731,000 | Test the broadcast is only done to the neighbors | quarkchain/cluster/tests/test_cluster.py | test_get_root_block_header_sync_from_height_3 | Belgarion/pyquarkchain_cuda | python | def test_get_root_block_header_sync_from_height_3(self):
' '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1, connect=False) as clusters:
master0 = clusters[0].master
root_block_list = []
for i in ran... |
def test_get_root_block_header_sync_with_fork(self):
' Test the broadcast is only done to the neighbors '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1, connect=False) as clusters:
master0 = clusters[0].master
... | 3,788,074,659,094,418,400 | Test the broadcast is only done to the neighbors | quarkchain/cluster/tests/test_cluster.py | test_get_root_block_header_sync_with_fork | Belgarion/pyquarkchain_cuda | python | def test_get_root_block_header_sync_with_fork(self):
' '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1, connect=False) as clusters:
master0 = clusters[0].master
root_block_list = []
for i in range(1... |
def test_get_root_block_header_sync_with_staleness(self):
' Test the broadcast is only done to the neighbors '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1, connect=False) as clusters:
master0 = clusters[0].master
... | -2,076,552,471,465,037,300 | Test the broadcast is only done to the neighbors | quarkchain/cluster/tests/test_cluster.py | test_get_root_block_header_sync_with_staleness | Belgarion/pyquarkchain_cuda | python | def test_get_root_block_header_sync_with_staleness(self):
' '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1, connect=False) as clusters:
master0 = clusters[0].master
root_block_list = []
for i in ra... |
def test_get_root_block_header_sync_with_multiple_lookup(self):
' Test the broadcast is only done to the neighbors '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1, connect=False) as clusters:
master0 = clusters[0].m... | 5,361,396,513,719,990,000 | Test the broadcast is only done to the neighbors | quarkchain/cluster/tests/test_cluster.py | test_get_root_block_header_sync_with_multiple_lookup | Belgarion/pyquarkchain_cuda | python | def test_get_root_block_header_sync_with_multiple_lookup(self):
' '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1, connect=False) as clusters:
master0 = clusters[0].master
root_block_list = []
for i... |
def test_get_minor_block_headers_with_skip(self):
' Test the broadcast is only done to the neighbors '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1) as clusters:
master = clusters[0].master
shard = next(ite... | -2,125,516,172,805,657,300 | Test the broadcast is only done to the neighbors | quarkchain/cluster/tests/test_cluster.py | test_get_minor_block_headers_with_skip | Belgarion/pyquarkchain_cuda | python | def test_get_minor_block_headers_with_skip(self):
' '
id1 = Identity.create_random_identity()
acc1 = Address.create_from_identity(id1, full_shard_key=0)
with ClusterContext(2, acc1) as clusters:
master = clusters[0].master
shard = next(iter(clusters[0].slave_list[0].shards.values()))
... |
def test_list_inputs(self):
'Test input a list\n '
with tf.Graph().as_default():
(model, inputs, target) = self.build_simple_model()
model.fit([inpData for (_, _, inpData) in inputs], target, batch_size=1) | -7,471,307,216,688,532,000 | Test input a list | zqtflearn2/tests/test_inputs.py | test_list_inputs | ZhengDeQuan/AAA | python | def test_list_inputs(self):
'\n '
with tf.Graph().as_default():
(model, inputs, target) = self.build_simple_model()
model.fit([inpData for (_, _, inpData) in inputs], target, batch_size=1) |
def test_dict_inputs(self):
'Test input a dict with layer name\n '
with tf.Graph().as_default():
(model, inputs, target) = self.build_simple_model()
model.fit({name: inpData for (name, _, inpData) in inputs}, target, batch_size=1) | 4,393,760,652,735,001,600 | Test input a dict with layer name | zqtflearn2/tests/test_inputs.py | test_dict_inputs | ZhengDeQuan/AAA | python | def test_dict_inputs(self):
'\n '
with tf.Graph().as_default():
(model, inputs, target) = self.build_simple_model()
model.fit({name: inpData for (name, _, inpData) in inputs}, target, batch_size=1) |
def test_dict_withtensor_inputs(self):
'Test input a dict with placeholder\n '
with tf.Graph().as_default():
(model, inputs, target) = self.build_simple_model()
model.fit({placeholder: inpData for (_, placeholder, inpData) in inputs}, target, batch_size=1) | 1,681,431,496,209,710,000 | Test input a dict with placeholder | zqtflearn2/tests/test_inputs.py | test_dict_withtensor_inputs | ZhengDeQuan/AAA | python | def test_dict_withtensor_inputs(self):
'\n '
with tf.Graph().as_default():
(model, inputs, target) = self.build_simple_model()
model.fit({placeholder: inpData for (_, placeholder, inpData) in inputs}, target, batch_size=1) |
def build_simple_model(self):
'Build a simple model for test\n Returns:\n DNN, [ (input layer name, input placeholder, input data) ], Target data\n '
(inputPlaceholder1, inputPlaceholder2) = (tf.placeholder(tf.float32, (1, 1), name='input1'), tf.placeholder(tf.float32, (1, 1), name='inp... | 3,643,260,391,374,534,000 | Build a simple model for test
Returns:
DNN, [ (input layer name, input placeholder, input data) ], Target data | zqtflearn2/tests/test_inputs.py | build_simple_model | ZhengDeQuan/AAA | python | def build_simple_model(self):
'Build a simple model for test\n Returns:\n DNN, [ (input layer name, input placeholder, input data) ], Target data\n '
(inputPlaceholder1, inputPlaceholder2) = (tf.placeholder(tf.float32, (1, 1), name='input1'), tf.placeholder(tf.float32, (1, 1), name='inp... |
def run_inference(df, df_old, df_test, CFG, run=None):
'\n Run inference loop\n '
assert isinstance(CFG, dict), 'CFG has to be a dict with parameters'
assert isinstance(df, pd.DataFrame), 'df has to be a pandas dataframe'
oof = None
sub = None
for fold in range(CFG['num_folds']):
a... | -4,392,115,608,977,143,300 | Run inference loop | code/run_inference.py | run_inference | kozodoi/Pet_Pawpularity | python | def run_inference(df, df_old, df_test, CFG, run=None):
'\n \n '
assert isinstance(CFG, dict), 'CFG has to be a dict with parameters'
assert isinstance(df, pd.DataFrame), 'df has to be a pandas dataframe'
oof = None
sub = None
for fold in range(CFG['num_folds']):
accelerator = Accel... |
@csrf_exempt
def add_vit(request):
'\n Add a new vit with API, currently image and video are not supported\n '
user = KeyBackend().authenticate(request)
if (request.method == 'POST'):
if request.user.is_authenticated:
form = VitForm(request.POST)
if form.is_valid():
... | -4,221,172,300,516,865,500 | Add a new vit with API, currently image and video are not supported | apps/vit/api.py | add_vit | Visualway/Vitary | python | @csrf_exempt
def add_vit(request):
'\n \n '
user = KeyBackend().authenticate(request)
if (request.method == 'POST'):
if request.user.is_authenticated:
form = VitForm(request.POST)
if form.is_valid():
vit = form.save(commit=False)
vit.user... |
@csrf_exempt
def edit_vit(request):
'\n Edit a vit with API\n '
user = KeyBackend().authenticate(request)
if (request.method == 'POST'):
if request.user.is_authenticated:
try:
vit = Vit.objects.get(id=request.POST.get('vit_pk'))
if (vit.user == reque... | -5,257,368,736,001,182,000 | Edit a vit with API | apps/vit/api.py | edit_vit | Visualway/Vitary | python | @csrf_exempt
def edit_vit(request):
'\n \n '
user = KeyBackend().authenticate(request)
if (request.method == 'POST'):
if request.user.is_authenticated:
try:
vit = Vit.objects.get(id=request.POST.get('vit_pk'))
if (vit.user == request.user):
... |
@csrf_exempt
def delete_vit(request):
'\n Delete a vit with API\n '
user = KeyBackend().authenticate(request)
if (request.method == 'POST'):
if request.user.is_authenticated:
try:
vit = Vit.objects.get(id=request.POST.get('vit_pk'))
if (vit.user == r... | -5,072,101,132,261,834,000 | Delete a vit with API | apps/vit/api.py | delete_vit | Visualway/Vitary | python | @csrf_exempt
def delete_vit(request):
'\n \n '
user = KeyBackend().authenticate(request)
if (request.method == 'POST'):
if request.user.is_authenticated:
try:
vit = Vit.objects.get(id=request.POST.get('vit_pk'))
if (vit.user == request.user):
... |
def get_bytes(s):
'Returns the byte representation of a hex- or byte-string.'
if isinstance(s, bytes):
b = s
elif isinstance(s, str):
b = bytes.fromhex(s)
else:
raise TypeError("s must be either 'bytes' or 'str'!")
return b | 6,362,010,049,312,019,000 | Returns the byte representation of a hex- or byte-string. | pywallet/utils/ethereum.py | get_bytes | ukor/pywallet | python | def get_bytes(s):
if isinstance(s, bytes):
b = s
elif isinstance(s, str):
b = bytes.fromhex(s)
else:
raise TypeError("s must be either 'bytes' or 'str'!")
return b |
@staticmethod
def from_b58check(private_key):
' Decodes a Base58Check encoded private-key.\n\n Args:\n private_key (str): A Base58Check encoded private key.\n\n Returns:\n PrivateKey: A PrivateKey object\n '
raise NotImplementedError | -2,194,948,722,815,287,300 | Decodes a Base58Check encoded private-key.
Args:
private_key (str): A Base58Check encoded private key.
Returns:
PrivateKey: A PrivateKey object | pywallet/utils/ethereum.py | from_b58check | ukor/pywallet | python | @staticmethod
def from_b58check(private_key):
' Decodes a Base58Check encoded private-key.\n\n Args:\n private_key (str): A Base58Check encoded private key.\n\n Returns:\n PrivateKey: A PrivateKey object\n '
raise NotImplementedError |
@property
def public_key(self):
' Returns the public key associated with this private key.\n\n Returns:\n PublicKey:\n The PublicKey object that corresponds to this\n private key.\n '
return self._public_key | -3,903,173,452,133,121,000 | Returns the public key associated with this private key.
Returns:
PublicKey:
The PublicKey object that corresponds to this
private key. | pywallet/utils/ethereum.py | public_key | ukor/pywallet | python | @property
def public_key(self):
' Returns the public key associated with this private key.\n\n Returns:\n PublicKey:\n The PublicKey object that corresponds to this\n private key.\n '
return self._public_key |
def raw_sign(self, message, do_hash=True):
" Signs message using this private key.\n\n Args:\n message (bytes): The message to be signed. If a string is\n provided it is assumed the encoding is 'ascii' and\n converted to bytes. If this is not the case, it is up\n ... | -3,442,752,404,058,702,000 | Signs message using this private key.
Args:
message (bytes): The message to be signed. If a string is
provided it is assumed the encoding is 'ascii' and
converted to bytes. If this is not the case, it is up
to the caller to convert the string to bytes
appropriately and pass in the bytes... | pywallet/utils/ethereum.py | raw_sign | ukor/pywallet | python | def raw_sign(self, message, do_hash=True):
" Signs message using this private key.\n\n Args:\n message (bytes): The message to be signed. If a string is\n provided it is assumed the encoding is 'ascii' and\n converted to bytes. If this is not the case, it is up\n ... |
def sign(self, message, do_hash=True):
" Signs message using this private key.\n\n Note:\n This differs from `raw_sign()` since it returns a\n Signature object.\n\n Args:\n message (bytes or str): The message to be signed. If a\n string is provided it is ... | 8,591,961,857,602,308,000 | Signs message using this private key.
Note:
This differs from `raw_sign()` since it returns a
Signature object.
Args:
message (bytes or str): The message to be signed. If a
string is provided it is assumed the encoding is
'ascii' and converted to bytes. If this is not the
case, it is ... | pywallet/utils/ethereum.py | sign | ukor/pywallet | python | def sign(self, message, do_hash=True):
" Signs message using this private key.\n\n Note:\n This differs from `raw_sign()` since it returns a\n Signature object.\n\n Args:\n message (bytes or str): The message to be signed. If a\n string is provided it is ... |
def sign_bitcoin(self, message, compressed=False):
' Signs a message using this private key such that it\n is compatible with bitcoind, bx, and other Bitcoin\n clients/nodes/utilities.\n\n Note:\n 0x18 + b"Bitcoin Signed Message:" + newline + len(message) is\n prepended to... | -577,525,095,042,194,300 | Signs a message using this private key such that it
is compatible with bitcoind, bx, and other Bitcoin
clients/nodes/utilities.
Note:
0x18 + b"Bitcoin Signed Message:" + newline + len(message) is
prepended to the message before signing.
Args:
message (bytes or str): Message to be signed.
compressed (b... | pywallet/utils/ethereum.py | sign_bitcoin | ukor/pywallet | python | def sign_bitcoin(self, message, compressed=False):
' Signs a message using this private key such that it\n is compatible with bitcoind, bx, and other Bitcoin\n clients/nodes/utilities.\n\n Note:\n 0x18 + b"Bitcoin Signed Message:" + newline + len(message) is\n prepended to... |
def to_b58check(self, testnet=False):
' Generates a Base58Check encoding of this private key.\n\n Returns:\n str: A Base58Check encoded string representing the key.\n '
raise NotImplementedError | -4,622,134,561,817,966,000 | Generates a Base58Check encoding of this private key.
Returns:
str: A Base58Check encoded string representing the key. | pywallet/utils/ethereum.py | to_b58check | ukor/pywallet | python | def to_b58check(self, testnet=False):
' Generates a Base58Check encoding of this private key.\n\n Returns:\n str: A Base58Check encoded string representing the key.\n '
raise NotImplementedError |
def to_hex(self):
' Generates a hex encoding of the serialized key.\n\n Returns:\n str: A hex encoded string representing the key.\n '
return codecs.encode(bytes(self), 'hex_codec').decode('ascii') | 1,117,107,793,647,114,500 | Generates a hex encoding of the serialized key.
Returns:
str: A hex encoded string representing the key. | pywallet/utils/ethereum.py | to_hex | ukor/pywallet | python | def to_hex(self):
' Generates a hex encoding of the serialized key.\n\n Returns:\n str: A hex encoded string representing the key.\n '
return codecs.encode(bytes(self), 'hex_codec').decode('ascii') |
@staticmethod
def from_bytes(key_bytes):
' Generates a public key object from a byte (or hex) string.\n\n Args:\n key_bytes (bytes or str): A byte stream.\n\n Returns:\n PublicKey: A PublicKey object.\n '
raise NotImplementedError | -7,482,710,778,146,468,000 | Generates a public key object from a byte (or hex) string.
Args:
key_bytes (bytes or str): A byte stream.
Returns:
PublicKey: A PublicKey object. | pywallet/utils/ethereum.py | from_bytes | ukor/pywallet | python | @staticmethod
def from_bytes(key_bytes):
' Generates a public key object from a byte (or hex) string.\n\n Args:\n key_bytes (bytes or str): A byte stream.\n\n Returns:\n PublicKey: A PublicKey object.\n '
raise NotImplementedError |
@staticmethod
def from_private_key(private_key):
' Generates a public key object from a PrivateKey object.\n\n Args:\n private_key (PrivateKey): The private key object from\n which to derive this object.\n\n Returns:\n PublicKey: A PublicKey object.\n '
r... | -7,522,706,405,364,125,000 | Generates a public key object from a PrivateKey object.
Args:
private_key (PrivateKey): The private key object from
which to derive this object.
Returns:
PublicKey: A PublicKey object. | pywallet/utils/ethereum.py | from_private_key | ukor/pywallet | python | @staticmethod
def from_private_key(private_key):
' Generates a public key object from a PrivateKey object.\n\n Args:\n private_key (PrivateKey): The private key object from\n which to derive this object.\n\n Returns:\n PublicKey: A PublicKey object.\n '
r... |
def hash160(self, compressed=True):
' Return the RIPEMD-160 hash of the SHA-256 hash of the\n public key.\n\n Args:\n compressed (bool): Whether or not the compressed key should\n be used.\n Returns:\n bytes: RIPEMD-160 byte string.\n '
raise NotIm... | 8,495,305,454,611,718,000 | Return the RIPEMD-160 hash of the SHA-256 hash of the
public key.
Args:
compressed (bool): Whether or not the compressed key should
be used.
Returns:
bytes: RIPEMD-160 byte string. | pywallet/utils/ethereum.py | hash160 | ukor/pywallet | python | def hash160(self, compressed=True):
' Return the RIPEMD-160 hash of the SHA-256 hash of the\n public key.\n\n Args:\n compressed (bool): Whether or not the compressed key should\n be used.\n Returns:\n bytes: RIPEMD-160 byte string.\n '
raise NotIm... |
def address(self, compressed=True, testnet=False):
' Address property that returns the Base58Check\n encoded version of the HASH160.\n\n Args:\n compressed (bool): Whether or not the compressed key should\n be used.\n testnet (bool): Whether or not the key is intend... | 1,505,693,198,810,818,800 | Address property that returns the Base58Check
encoded version of the HASH160.
Args:
compressed (bool): Whether or not the compressed key should
be used.
testnet (bool): Whether or not the key is intended for testnet
usage. False indicates mainnet usage.
Returns:
bytes: Base58Check encoded st... | pywallet/utils/ethereum.py | address | ukor/pywallet | python | def address(self, compressed=True, testnet=False):
' Address property that returns the Base58Check\n encoded version of the HASH160.\n\n Args:\n compressed (bool): Whether or not the compressed key should\n be used.\n testnet (bool): Whether or not the key is intend... |
def verify(self, message, signature, do_hash=True):
' Verifies that message was appropriately signed.\n\n Args:\n message (bytes): The message to be verified.\n signature (Signature): A signature object.\n do_hash (bool): True if the message should be hashed prior\n ... | 299,335,390,298,276,500 | Verifies that message was appropriately signed.
Args:
message (bytes): The message to be verified.
signature (Signature): A signature object.
do_hash (bool): True if the message should be hashed prior
to signing, False if not. This should always be left as
True except in special situations whic... | pywallet/utils/ethereum.py | verify | ukor/pywallet | python | def verify(self, message, signature, do_hash=True):
' Verifies that message was appropriately signed.\n\n Args:\n message (bytes): The message to be verified.\n signature (Signature): A signature object.\n do_hash (bool): True if the message should be hashed prior\n ... |
def to_hex(self):
' Hex representation of the serialized byte stream.\n\n Returns:\n h (str): A hex-encoded string.\n '
return codecs.encode(bytes(self), 'hex_codec').decode('ascii') | -3,788,021,947,701,061,000 | Hex representation of the serialized byte stream.
Returns:
h (str): A hex-encoded string. | pywallet/utils/ethereum.py | to_hex | ukor/pywallet | python | def to_hex(self):
' Hex representation of the serialized byte stream.\n\n Returns:\n h (str): A hex-encoded string.\n '
return codecs.encode(bytes(self), 'hex_codec').decode('ascii') |
@property
def compressed_bytes(self):
' Byte string corresponding to a compressed representation\n of this public key.\n\n Returns:\n b (bytes): A 33-byte long byte string.\n '
raise NotImplementedError | -5,173,596,266,008,949,000 | Byte string corresponding to a compressed representation
of this public key.
Returns:
b (bytes): A 33-byte long byte string. | pywallet/utils/ethereum.py | compressed_bytes | ukor/pywallet | python | @property
def compressed_bytes(self):
' Byte string corresponding to a compressed representation\n of this public key.\n\n Returns:\n b (bytes): A 33-byte long byte string.\n '
raise NotImplementedError |
@staticmethod
def from_bytes(b):
' Generates PrivateKey from the underlying bytes.\n\n Args:\n b (bytes): A byte stream containing a 256-bit (32-byte) integer.\n\n Returns:\n tuple(PrivateKey, bytes): A PrivateKey object and the remainder\n of the bytes.\n '
... | 4,301,424,855,126,597,600 | Generates PrivateKey from the underlying bytes.
Args:
b (bytes): A byte stream containing a 256-bit (32-byte) integer.
Returns:
tuple(PrivateKey, bytes): A PrivateKey object and the remainder
of the bytes. | pywallet/utils/ethereum.py | from_bytes | ukor/pywallet | python | @staticmethod
def from_bytes(b):
' Generates PrivateKey from the underlying bytes.\n\n Args:\n b (bytes): A byte stream containing a 256-bit (32-byte) integer.\n\n Returns:\n tuple(PrivateKey, bytes): A PrivateKey object and the remainder\n of the bytes.\n '
... |
@staticmethod
def from_hex(h):
' Generates PrivateKey from a hex-encoded string.\n\n Args:\n h (str): A hex-encoded string containing a 256-bit\n (32-byte) integer.\n\n Returns:\n PrivateKey: A PrivateKey object.\n '
return PrivateKey.from_bytes(bytes.f... | -2,570,931,154,343,340,000 | Generates PrivateKey from a hex-encoded string.
Args:
h (str): A hex-encoded string containing a 256-bit
(32-byte) integer.
Returns:
PrivateKey: A PrivateKey object. | pywallet/utils/ethereum.py | from_hex | ukor/pywallet | python | @staticmethod
def from_hex(h):
' Generates PrivateKey from a hex-encoded string.\n\n Args:\n h (str): A hex-encoded string containing a 256-bit\n (32-byte) integer.\n\n Returns:\n PrivateKey: A PrivateKey object.\n '
return PrivateKey.from_bytes(bytes.f... |
@staticmethod
def from_int(i):
' Initializes a private key from an integer.\n\n Args:\n i (int): Integer that is the private key.\n\n Returns:\n PrivateKey: The object representing the private key.\n '
return PrivateKey(i) | -5,908,994,610,876,351,000 | Initializes a private key from an integer.
Args:
i (int): Integer that is the private key.
Returns:
PrivateKey: The object representing the private key. | pywallet/utils/ethereum.py | from_int | ukor/pywallet | python | @staticmethod
def from_int(i):
' Initializes a private key from an integer.\n\n Args:\n i (int): Integer that is the private key.\n\n Returns:\n PrivateKey: The object representing the private key.\n '
return PrivateKey(i) |
@staticmethod
def from_b58check(private_key):
' Decodes a Base58Check encoded private-key.\n\n Args:\n private_key (str): A Base58Check encoded private key.\n\n Returns:\n PrivateKey: A PrivateKey object\n '
b58dec = base58.b58decode_check(private_key)
version = b5... | 4,843,793,838,649,410,000 | Decodes a Base58Check encoded private-key.
Args:
private_key (str): A Base58Check encoded private key.
Returns:
PrivateKey: A PrivateKey object | pywallet/utils/ethereum.py | from_b58check | ukor/pywallet | python | @staticmethod
def from_b58check(private_key):
' Decodes a Base58Check encoded private-key.\n\n Args:\n private_key (str): A Base58Check encoded private key.\n\n Returns:\n PrivateKey: A PrivateKey object\n '
b58dec = base58.b58decode_check(private_key)
version = b5... |
@staticmethod
def from_random():
' Initializes a private key from a random integer.\n\n Returns:\n PrivateKey: The object representing the private key.\n '
return PrivateKey(random.SystemRandom().randrange(1, bitcoin_curve.n)) | -7,143,004,497,988,753,000 | Initializes a private key from a random integer.
Returns:
PrivateKey: The object representing the private key. | pywallet/utils/ethereum.py | from_random | ukor/pywallet | python | @staticmethod
def from_random():
' Initializes a private key from a random integer.\n\n Returns:\n PrivateKey: The object representing the private key.\n '
return PrivateKey(random.SystemRandom().randrange(1, bitcoin_curve.n)) |
@property
def public_key(self):
' Returns the public key associated with this private key.\n\n Returns:\n PublicKey:\n The PublicKey object that corresponds to this\n private key.\n '
if (self._public_key is None):
self._public_key = PublicKey.from_... | 252,891,754,864,734,080 | Returns the public key associated with this private key.
Returns:
PublicKey:
The PublicKey object that corresponds to this
private key. | pywallet/utils/ethereum.py | public_key | ukor/pywallet | python | @property
def public_key(self):
' Returns the public key associated with this private key.\n\n Returns:\n PublicKey:\n The PublicKey object that corresponds to this\n private key.\n '
if (self._public_key is None):
self._public_key = PublicKey.from_... |
def raw_sign(self, message, do_hash=True):
" Signs message using this private key.\n\n Args:\n message (bytes): The message to be signed. If a string is\n provided it is assumed the encoding is 'ascii' and\n converted to bytes. If this is not the case, it is up\n ... | -5,298,181,686,060,600,000 | Signs message using this private key.
Args:
message (bytes): The message to be signed. If a string is
provided it is assumed the encoding is 'ascii' and
converted to bytes. If this is not the case, it is up
to the caller to convert the string to bytes
appropriately and pass in the b... | pywallet/utils/ethereum.py | raw_sign | ukor/pywallet | python | def raw_sign(self, message, do_hash=True):
" Signs message using this private key.\n\n Args:\n message (bytes): The message to be signed. If a string is\n provided it is assumed the encoding is 'ascii' and\n converted to bytes. If this is not the case, it is up\n ... |
def sign(self, message, do_hash=True):
" Signs message using this private key.\n\n Note:\n This differs from `raw_sign()` since it returns a Signature object.\n\n Args:\n message (bytes or str): The message to be signed. If a\n string is provided it is assumed the ... | -2,846,491,641,569,747,500 | Signs message using this private key.
Note:
This differs from `raw_sign()` since it returns a Signature object.
Args:
message (bytes or str): The message to be signed. If a
string is provided it is assumed the encoding is
'ascii' and converted to bytes. If this is not the
case, it is u... | pywallet/utils/ethereum.py | sign | ukor/pywallet | python | def sign(self, message, do_hash=True):
" Signs message using this private key.\n\n Note:\n This differs from `raw_sign()` since it returns a Signature object.\n\n Args:\n message (bytes or str): The message to be signed. If a\n string is provided it is assumed the ... |
def sign_bitcoin(self, message, compressed=False):
' Signs a message using this private key such that it\n is compatible with bitcoind, bx, and other Bitcoin\n clients/nodes/utilities.\n\n Note:\n 0x18 + b"Bitcoin Signed Message:" + newline + len(message) is\n prepended to... | -8,730,095,808,249,029,000 | Signs a message using this private key such that it
is compatible with bitcoind, bx, and other Bitcoin
clients/nodes/utilities.
Note:
0x18 + b"Bitcoin Signed Message:" + newline + len(message) is
prepended to the message before signing.
Args:
message (bytes or str): Message to be signed.
compressed (b... | pywallet/utils/ethereum.py | sign_bitcoin | ukor/pywallet | python | def sign_bitcoin(self, message, compressed=False):
' Signs a message using this private key such that it\n is compatible with bitcoind, bx, and other Bitcoin\n clients/nodes/utilities.\n\n Note:\n 0x18 + b"Bitcoin Signed Message:" + newline + len(message) is\n prepended to... |
def to_b58check(self, testnet=False):
' Generates a Base58Check encoding of this private key.\n\n Returns:\n str: A Base58Check encoded string representing the key.\n '
version = (self.TESTNET_VERSION if testnet else self.MAINNET_VERSION)
return base58.b58encode_check((bytes([versio... | 326,012,224,586,419,000 | Generates a Base58Check encoding of this private key.
Returns:
str: A Base58Check encoded string representing the key. | pywallet/utils/ethereum.py | to_b58check | ukor/pywallet | python | def to_b58check(self, testnet=False):
' Generates a Base58Check encoding of this private key.\n\n Returns:\n str: A Base58Check encoded string representing the key.\n '
version = (self.TESTNET_VERSION if testnet else self.MAINNET_VERSION)
return base58.b58encode_check((bytes([versio... |
@staticmethod
def from_point(p):
' Generates a public key object from any object\n containing x, y coordinates.\n\n Args:\n p (Point): An object containing a two-dimensional, affine\n representation of a point on the secp256k1 curve.\n\n Returns:\n PublicKey:... | -2,368,731,521,817,372,700 | Generates a public key object from any object
containing x, y coordinates.
Args:
p (Point): An object containing a two-dimensional, affine
representation of a point on the secp256k1 curve.
Returns:
PublicKey: A PublicKey object. | pywallet/utils/ethereum.py | from_point | ukor/pywallet | python | @staticmethod
def from_point(p):
' Generates a public key object from any object\n containing x, y coordinates.\n\n Args:\n p (Point): An object containing a two-dimensional, affine\n representation of a point on the secp256k1 curve.\n\n Returns:\n PublicKey:... |
@staticmethod
def from_int(i):
' Generates a public key object from an integer.\n\n Note:\n This assumes that the upper 32 bytes of the integer\n are the x component of the public key point and the\n lower 32 bytes are the y component.\n\n Args:\n i (Bignum)... | -4,592,589,044,295,648,000 | Generates a public key object from an integer.
Note:
This assumes that the upper 32 bytes of the integer
are the x component of the public key point and the
lower 32 bytes are the y component.
Args:
i (Bignum): A 512-bit integer representing the public
key point on the secp256k1 curve.
Returns... | pywallet/utils/ethereum.py | from_int | ukor/pywallet | python | @staticmethod
def from_int(i):
' Generates a public key object from an integer.\n\n Note:\n This assumes that the upper 32 bytes of the integer\n are the x component of the public key point and the\n lower 32 bytes are the y component.\n\n Args:\n i (Bignum)... |
@staticmethod
def from_base64(b64str, testnet=False):
' Generates a public key object from a Base64 encoded string.\n\n Args:\n b64str (str): A Base64-encoded string.\n testnet (bool) (Optional): If True, changes the version that\n is prepended to the key.\n\n Retur... | 440,505,516,854,344,770 | Generates a public key object from a Base64 encoded string.
Args:
b64str (str): A Base64-encoded string.
testnet (bool) (Optional): If True, changes the version that
is prepended to the key.
Returns:
PublicKey: A PublicKey object. | pywallet/utils/ethereum.py | from_base64 | ukor/pywallet | python | @staticmethod
def from_base64(b64str, testnet=False):
' Generates a public key object from a Base64 encoded string.\n\n Args:\n b64str (str): A Base64-encoded string.\n testnet (bool) (Optional): If True, changes the version that\n is prepended to the key.\n\n Retur... |
@staticmethod
def from_bytes(key_bytes):
' Generates a public key object from a byte (or hex) string.\n\n The byte stream must be of the SEC variety\n (http://www.secg.org/): beginning with a single byte telling\n what key representation follows. A full, uncompressed key\n is represented... | -2,474,053,631,457,766,400 | Generates a public key object from a byte (or hex) string.
The byte stream must be of the SEC variety
(http://www.secg.org/): beginning with a single byte telling
what key representation follows. A full, uncompressed key
is represented by: 0x04 followed by 64 bytes containing
the x and y components of the point. For c... | pywallet/utils/ethereum.py | from_bytes | ukor/pywallet | python | @staticmethod
def from_bytes(key_bytes):
' Generates a public key object from a byte (or hex) string.\n\n The byte stream must be of the SEC variety\n (http://www.secg.org/): beginning with a single byte telling\n what key representation follows. A full, uncompressed key\n is represented... |
@staticmethod
def from_hex(h):
' Generates a public key object from a hex-encoded string.\n\n See from_bytes() for requirements of the hex string.\n\n Args:\n h (str): A hex-encoded string.\n\n Returns:\n PublicKey: A PublicKey object.\n '
return PublicKey.from_... | 5,488,581,212,984,160,000 | Generates a public key object from a hex-encoded string.
See from_bytes() for requirements of the hex string.
Args:
h (str): A hex-encoded string.
Returns:
PublicKey: A PublicKey object. | pywallet/utils/ethereum.py | from_hex | ukor/pywallet | python | @staticmethod
def from_hex(h):
' Generates a public key object from a hex-encoded string.\n\n See from_bytes() for requirements of the hex string.\n\n Args:\n h (str): A hex-encoded string.\n\n Returns:\n PublicKey: A PublicKey object.\n '
return PublicKey.from_... |
@staticmethod
def from_signature(message, signature):
' Attempts to create PublicKey object by deriving it\n from the message and signature.\n\n Args:\n message (bytes): The message to be verified.\n signature (Signature): The signature for message.\n The recovery_i... | -9,018,104,774,159,616,000 | Attempts to create PublicKey object by deriving it
from the message and signature.
Args:
message (bytes): The message to be verified.
signature (Signature): The signature for message.
The recovery_id must not be None!
Returns:
PublicKey:
A PublicKey object derived from the
signature... | pywallet/utils/ethereum.py | from_signature | ukor/pywallet | python | @staticmethod
def from_signature(message, signature):
' Attempts to create PublicKey object by deriving it\n from the message and signature.\n\n Args:\n message (bytes): The message to be verified.\n signature (Signature): The signature for message.\n The recovery_i... |
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