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amelchio/pysonos | pysonos/discovery.py | discover_thread | def discover_thread(callback,
timeout=5,
include_invisible=False,
interface_addr=None):
""" Return a started thread with a discovery callback. """
thread = StoppableThread(
target=_discover_thread,
args=(callback, timeout, include_invis... | python | def discover_thread(callback,
timeout=5,
include_invisible=False,
interface_addr=None):
""" Return a started thread with a discovery callback. """
thread = StoppableThread(
target=_discover_thread,
args=(callback, timeout, include_invis... | [
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amelchio/pysonos | pysonos/discovery.py | by_name | def by_name(name):
"""Return a device by name.
Args:
name (str): The name of the device to return.
Returns:
:class:`~.SoCo`: The first device encountered among all zone with the
given player name. If none are found `None` is returned.
"""
devices = discover(all_househol... | python | def by_name(name):
"""Return a device by name.
Args:
name (str): The name of the device to return.
Returns:
:class:`~.SoCo`: The first device encountered among all zone with the
given player name. If none are found `None` is returned.
"""
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vsoch/pokemon | pokemon/master.py | get_trainer | def get_trainer(name):
'''return the unique id for a trainer, determined by the md5 sum
'''
name = name.lower()
return int(hashlib.md5(name.encode('utf-8')).hexdigest(), 16) % 10**8 | python | def get_trainer(name):
'''return the unique id for a trainer, determined by the md5 sum
'''
name = name.lower()
return int(hashlib.md5(name.encode('utf-8')).hexdigest(), 16) % 10**8 | [
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vsoch/pokemon | pokemon/convert.py | scale_image | def scale_image(image, new_width):
"""Resizes an image preserving the aspect ratio.
"""
(original_width, original_height) = image.size
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new_height = int(aspect_ratio * new_width)
# This scales it wider than tall, since characters are biased
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"""Resizes an image preserving the aspect ratio.
"""
(original_width, original_height) = image.size
aspect_ratio = original_height/float(original_width)
new_height = int(aspect_ratio * new_width)
# This scales it wider than tall, since characters are biased
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vsoch/pokemon | pokemon/convert.py | map_pixels_to_ascii_chars | def map_pixels_to_ascii_chars(image, range_width=25):
"""Maps each pixel to an ascii char based on the range
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0-255 is divided into 11 ranges of 25 pixels each.
"""
pixels_in_image = list(image.getdata())
pixels_to_chars = [ASCII_CHARS[pixel_value/range_width] for pixel_value ... | python | def map_pixels_to_ascii_chars(image, range_width=25):
"""Maps each pixel to an ascii char based on the range
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0-255 is divided into 11 ranges of 25 pixels each.
"""
pixels_in_image = list(image.getdata())
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NLeSC/scriptcwl | scriptcwl/library.py | load_steps | def load_steps(working_dir=None, steps_dir=None, step_file=None,
step_list=None):
"""Return a dictionary containing Steps read from file.
Args:
steps_dir (str, optional): path to directory containing CWL files.
step_file (str, optional): path or http(s) url to a single CWL file.
... | python | def load_steps(working_dir=None, steps_dir=None, step_file=None,
step_list=None):
"""Return a dictionary containing Steps read from file.
Args:
steps_dir (str, optional): path to directory containing CWL files.
step_file (str, optional): path or http(s) url to a single CWL file.
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NLeSC/scriptcwl | scriptcwl/library.py | load_yaml | def load_yaml(filename):
"""Return object in yaml file."""
with open(filename) as myfile:
content = myfile.read()
if "win" in sys.platform:
content = content.replace("\\", "/")
return yaml.safe_load(content) | python | def load_yaml(filename):
"""Return object in yaml file."""
with open(filename) as myfile:
content = myfile.read()
if "win" in sys.platform:
content = content.replace("\\", "/")
return yaml.safe_load(content) | [
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NLeSC/scriptcwl | scriptcwl/library.py | sort_loading_order | def sort_loading_order(step_files):
"""Sort step files into correct loading order.
The correct loading order is first tools, then workflows without
subworkflows, and then workflows with subworkflows. This order is
required to avoid error messages when a working directory is used.
"""
tools = []... | python | def sort_loading_order(step_files):
"""Sort step files into correct loading order.
The correct loading order is first tools, then workflows without
subworkflows, and then workflows with subworkflows. This order is
required to avoid error messages when a working directory is used.
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NLeSC/scriptcwl | scriptcwl/scriptcwl.py | load_cwl | def load_cwl(fname):
"""Load and validate CWL file using cwltool
"""
logger.debug('Loading CWL file "{}"'.format(fname))
# Fetching, preprocessing and validating cwl
# Older versions of cwltool
if legacy_cwltool:
try:
(document_loader, workflowobj, uri) = fetch_document(fnam... | python | def load_cwl(fname):
"""Load and validate CWL file using cwltool
"""
logger.debug('Loading CWL file "{}"'.format(fname))
# Fetching, preprocessing and validating cwl
# Older versions of cwltool
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NLeSC/scriptcwl | scriptcwl/step.py | Step.set_input | def set_input(self, p_name, value):
"""Set a Step's input variable to a certain value.
The value comes either from a workflow input or output of a previous
step.
Args:
name (str): the name of the Step input
value (str): the name of the output variable that p... | python | def set_input(self, p_name, value):
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The value comes either from a workflow input or output of a previous
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name (str): the name of the Step input
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NLeSC/scriptcwl | scriptcwl/step.py | Step.output_reference | def output_reference(self, name):
"""Return a reference to the given output for use in an input
of a next Step.
For a Step named `echo` that has an output called `echoed`, the
reference `echo/echoed` is returned.
Args:
name (str): the name of the Step output
... | python | def output_reference(self, name):
"""Return a reference to the given output for use in an input
of a next Step.
For a Step named `echo` that has an output called `echoed`, the
reference `echo/echoed` is returned.
Args:
name (str): the name of the Step output
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NLeSC/scriptcwl | scriptcwl/step.py | Step._input_optional | def _input_optional(inp):
"""Returns True if a step input parameter is optional.
Args:
inp (dict): a dictionary representation of an input.
Raises:
ValueError: The inp provided is not valid.
"""
if 'default' in inp.keys():
return True
... | python | def _input_optional(inp):
"""Returns True if a step input parameter is optional.
Args:
inp (dict): a dictionary representation of an input.
Raises:
ValueError: The inp provided is not valid.
"""
if 'default' in inp.keys():
return True
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NLeSC/scriptcwl | scriptcwl/step.py | Step.to_obj | def to_obj(self, wd=False, pack=False, relpath=None):
"""Return the step as an dict that can be written to a yaml file.
Returns:
dict: yaml representation of the step.
"""
obj = CommentedMap()
if pack:
obj['run'] = self.orig
elif relpath is not No... | python | def to_obj(self, wd=False, pack=False, relpath=None):
"""Return the step as an dict that can be written to a yaml file.
Returns:
dict: yaml representation of the step.
"""
obj = CommentedMap()
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NLeSC/scriptcwl | scriptcwl/step.py | Step.list_inputs | def list_inputs(self):
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The types are returned in a copy/pastable format, so if the type is
`string`, `'string'` (with single quotes) is returned.
Returns:
str containing all input names and types.
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"""Return a string listing all the Step's input names and their types.
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Returns:
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator.load | def load(self, steps_dir=None, step_file=None, step_list=None):
"""Load CWL steps into the WorkflowGenerator's steps library.
Adds steps (command line tools and workflows) to the
``WorkflowGenerator``'s steps library. These steps can be used to
create workflows.
Args:
... | python | def load(self, steps_dir=None, step_file=None, step_list=None):
"""Load CWL steps into the WorkflowGenerator's steps library.
Adds steps (command line tools and workflows) to the
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Args:
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator._has_requirements | def _has_requirements(self):
"""Returns True if the workflow needs a requirements section.
Returns:
bool: True if the workflow needs a requirements section, False
otherwise.
"""
self._closed()
return any([self.has_workflow_step, self.has_scatter_requ... | python | def _has_requirements(self):
"""Returns True if the workflow needs a requirements section.
Returns:
bool: True if the workflow needs a requirements section, False
otherwise.
"""
self._closed()
return any([self.has_workflow_step, self.has_scatter_requ... | [
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator.inputs | def inputs(self, name):
"""List input names and types of a step in the steps library.
Args:
name (str): name of a step in the steps library.
"""
self._closed()
step = self._get_step(name, make_copy=False)
return step.list_inputs() | python | def inputs(self, name):
"""List input names and types of a step in the steps library.
Args:
name (str): name of a step in the steps library.
"""
self._closed()
step = self._get_step(name, make_copy=False)
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator._add_step | def _add_step(self, step):
"""Add a step to the workflow.
Args:
step (Step): a step from the steps library.
"""
self._closed()
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"""Add a step to the workflow.
Args:
step (Step): a step from the steps library.
"""
self._closed()
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator.add_input | def add_input(self, **kwargs):
"""Add workflow input.
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kwargs (dict): A dict with a `name: type` item
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator.add_outputs | def add_outputs(self, **kwargs):
"""Add workflow outputs.
The output type is added automatically, based on the steps in the steps
library.
Args:
kwargs (dict): A dict containing ``name=source name`` pairs.
``name`` is the name of the workflow output (e.g.,
... | python | def add_outputs(self, **kwargs):
"""Add workflow outputs.
The output type is added automatically, based on the steps in the steps
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Args:
kwargs (dict): A dict containing ``name=source name`` pairs.
``name`` is the name of the workflow output (e.g.,
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator._get_step | def _get_step(self, name, make_copy=True):
"""Return step from steps library.
Optionally, the step returned is a deep copy from the step in the steps
library, so additional information (e.g., about whether the step was
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nam... | python | def _get_step(self, name, make_copy=True):
"""Return step from steps library.
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator.to_obj | def to_obj(self, wd=False, pack=False, relpath=None):
"""Return the created workflow as a dict.
The dict can be written to a yaml file.
Returns:
A yaml-compatible dict representing the workflow.
"""
self._closed()
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"""Return the created workflow as a dict.
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Returns:
A yaml-compatible dict representing the workflow.
"""
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator.to_script | def to_script(self, wf_name='wf'):
"""Generated and print the scriptcwl script for the currunt workflow.
Args:
wf_name (str): string used for the WorkflowGenerator object in the
generated script (default: ``wf``).
"""
self._closed()
script = []
... | python | def to_script(self, wf_name='wf'):
"""Generated and print the scriptcwl script for the currunt workflow.
Args:
wf_name (str): string used for the WorkflowGenerator object in the
generated script (default: ``wf``).
"""
self._closed()
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator._types_match | def _types_match(type1, type2):
"""Returns False only if it can show that no value of type1
can possibly match type2.
Supports only a limited selection of types.
"""
if isinstance(type1, six.string_types) and \
isinstance(type2, six.string_types):
typ... | python | def _types_match(type1, type2):
"""Returns False only if it can show that no value of type1
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Supports only a limited selection of types.
"""
if isinstance(type1, six.string_types) and \
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator.validate | def validate(self):
"""Validate workflow object.
This method currently validates the workflow object with the use of
cwltool. It writes the workflow to a tmp CWL file, reads it, validates
it and removes the tmp file again. By default, the workflow is written
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"""Validate workflow object.
This method currently validates the workflow object with the use of
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NLeSC/scriptcwl | scriptcwl/workflow.py | WorkflowGenerator.save | def save(self, fname, mode=None, validate=True, encoding='utf-8',
wd=False, inline=False, relative=False, pack=False):
"""Save the workflow to file.
Save the workflow to a CWL file that can be run with a CWL runner.
Args:
fname (str): file to save the workflow to.
... | python | def save(self, fname, mode=None, validate=True, encoding='utf-8',
wd=False, inline=False, relative=False, pack=False):
"""Save the workflow to file.
Save the workflow to a CWL file that can be run with a CWL runner.
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fname (str): file to save the workflow to.
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NLeSC/scriptcwl | scriptcwl/yamlutils.py | str_presenter | def str_presenter(dmpr, data):
"""Return correct str_presenter to write multiple lines to a yaml field.
Source: http://stackoverflow.com/a/33300001
"""
if is_multiline(data):
return dmpr.represent_scalar('tag:yaml.org,2002:str', data, style='|')
return dmpr.represent_scalar('tag:yaml.org,2... | python | def str_presenter(dmpr, data):
"""Return correct str_presenter to write multiple lines to a yaml field.
Source: http://stackoverflow.com/a/33300001
"""
if is_multiline(data):
return dmpr.represent_scalar('tag:yaml.org,2002:str', data, style='|')
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nschloe/colorio | experiments/new-cs.py | build_grad_matrices | def build_grad_matrices(V, points):
"""Build the sparse m-by-n matrices that map a coefficient set for a function in V
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"""
# See <https://www.allanswered.com/post/lkbkm/#zxqgk>
mesh = V.mesh()
bbt = BoundingBoxTree()
bbt.build(mesh)
do... | python | def build_grad_matrices(V, points):
"""Build the sparse m-by-n matrices that map a coefficient set for a function in V
to the values of dx and dy at a number m of points.
"""
# See <https://www.allanswered.com/post/lkbkm/#zxqgk>
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bbt.build(mesh)
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nschloe/colorio | experiments/new-cs.py | PiecewiseEllipse.apply_M | def apply_M(self, ax, ay):
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"""Linear operator that converts ax, ay to abcd.
"""
jac = numpy.array(
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nschloe/colorio | experiments/new-cs.py | PiecewiseEllipse.cost_min2 | def cost_min2(self, alpha):
"""Residual formulation, Hessian is a low-rank update of the identity.
"""
n = self.V.dim()
ax = alpha[:n]
ay = alpha[n:]
# ml = pyamg.ruge_stuben_solver(self.L)
# # ml = pyamg.smoothed_aggregation_solver(self.L)
# print(ml)
... | python | def cost_min2(self, alpha):
"""Residual formulation, Hessian is a low-rank update of the identity.
"""
n = self.V.dim()
ax = alpha[:n]
ay = alpha[n:]
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# print(ml)
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nschloe/colorio | colorio/tools.py | delta | def delta(a, b):
"""Computes the distances between two colors or color sets. The shape of
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"""
diff = a - b
return numpy.einsum("i...,i...->...", diff, diff) | python | def delta(a, b):
"""Computes the distances between two colors or color sets. The shape of
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nschloe/colorio | colorio/tools.py | plot_flat_gamut | def plot_flat_gamut(
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axes_labels=("x", "y"),
plot_rgb_triangle=True,
fill_horseshoe=True,
plot_planckian_locus=True,
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axes_labels=("x", "y"),
plot_rgb_triangle=True,
fill_horseshoe=True,
plot_planckian_locus=True,
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nschloe/colorio | experiments/pade2d.py | _get_xy_tree | def _get_xy_tree(xy, degree):
"""Evaluates the entire tree of 2d mononomials.
The return value is a list of arrays, where `out[k]` hosts the `2*k+1`
values of the `k`th level of the tree
(0, 0)
(1, 0) (0, 1)
(2, 0) (1, 1) (0, 2)
... ... ...
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x, ... | python | def _get_xy_tree(xy, degree):
"""Evaluates the entire tree of 2d mononomials.
The return value is a list of arrays, where `out[k]` hosts the `2*k+1`
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(2, 0) (1, 1) (0, 2)
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nschloe/colorio | colorio/illuminants.py | spectrum_to_xyz100 | def spectrum_to_xyz100(spectrum, observer):
"""Computes the tristimulus values XYZ from a given spectrum for a given
observer via
X_i = int_lambda spectrum_i(lambda) * observer_i(lambda) dlambda.
In section 7, the technical report CIE Standard Illuminants for
Colorimetry, 1999, gives a recommendat... | python | def spectrum_to_xyz100(spectrum, observer):
"""Computes the tristimulus values XYZ from a given spectrum for a given
observer via
X_i = int_lambda spectrum_i(lambda) * observer_i(lambda) dlambda.
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nschloe/colorio | colorio/illuminants.py | d | def d(nominal_temperature):
"""CIE D-series illuminants.
The technical report `Colorimetry, 3rd edition, 2004` gives the data for
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S1, S2. Values are given at 5nm resolution in the document, but really
every other value is jus... | python | def d(nominal_temperature):
"""CIE D-series illuminants.
The technical report `Colorimetry, 3rd edition, 2004` gives the data for
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nschloe/colorio | colorio/illuminants.py | e | def e():
"""This is a hypothetical reference radiator. All wavelengths in CIE
illuminant E are weighted equally with a relative spectral power of 100.0.
"""
lmbda = 1.0e-9 * numpy.arange(300, 831)
data = numpy.full(lmbda.shape, 100.0)
return lmbda, data | python | def e():
"""This is a hypothetical reference radiator. All wavelengths in CIE
illuminant E are weighted equally with a relative spectral power of 100.0.
"""
lmbda = 1.0e-9 * numpy.arange(300, 831)
data = numpy.full(lmbda.shape, 100.0)
return lmbda, data | [
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nschloe/colorio | colorio/linalg.py | dot | def dot(a, b):
"""Take arrays `a` and `b` and form the dot product between the last axis
of `a` and the first of `b`.
"""
b = numpy.asarray(b)
return numpy.dot(a, b.reshape(b.shape[0], -1)).reshape(a.shape[:-1] + b.shape[1:]) | python | def dot(a, b):
"""Take arrays `a` and `b` and form the dot product between the last axis
of `a` and the first of `b`.
"""
b = numpy.asarray(b)
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dshean/demcoreg | demcoreg/dem_mask.py | get_nlcd_mask | def get_nlcd_mask(nlcd_ds, filter='not_forest', out_fn=None):
"""Generate raster mask for specified NLCD LULC filter
"""
print("Loading NLCD LULC")
b = nlcd_ds.GetRasterBand(1)
l = b.ReadAsArray()
print("Filtering NLCD LULC with: %s" % filter)
#Original nlcd products have nan as ndv
... | python | def get_nlcd_mask(nlcd_ds, filter='not_forest', out_fn=None):
"""Generate raster mask for specified NLCD LULC filter
"""
print("Loading NLCD LULC")
b = nlcd_ds.GetRasterBand(1)
l = b.ReadAsArray()
print("Filtering NLCD LULC with: %s" % filter)
#Original nlcd products have nan as ndv
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dshean/demcoreg | demcoreg/dem_mask.py | get_bareground_mask | def get_bareground_mask(bareground_ds, bareground_thresh=60, out_fn=None):
"""Generate raster mask for exposed bare ground from global bareground data
"""
print("Loading bareground")
b = bareground_ds.GetRasterBand(1)
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"""Generate raster mask for exposed bare ground from global bareground data
"""
print("Loading bareground")
b = bareground_ds.GetRasterBand(1)
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dshean/demcoreg | demcoreg/dem_mask.py | get_snodas_ds | def get_snodas_ds(dem_dt, code=1036):
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http://nsidc.org/data/docs/noaa/g02158_snodas_snow_cover_model/index.html
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1034 is SWE
filename format: us_ssmv11036tS__T0001TTNATS2015042205HP... | python | def get_snodas_ds(dem_dt, code=1036):
"""Function to fetch and process SNODAS snow depth products for input datetime
http://nsidc.org/data/docs/noaa/g02158_snodas_snow_cover_model/index.html
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1036 is snow depth
1034 is SWE
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dshean/demcoreg | demcoreg/dem_mask.py | get_modis_tile_list | def get_modis_tile_list(ds):
"""Helper function to identify MODIS tiles that intersect input geometry
modis_gird.py contains dictionary of tile boundaries (tile name and WKT polygon ring from bbox)
See: https://modis-land.gsfc.nasa.gov/MODLAND_grid.html
"""
from demcoreg import modis_grid
modi... | python | def get_modis_tile_list(ds):
"""Helper function to identify MODIS tiles that intersect input geometry
modis_gird.py contains dictionary of tile boundaries (tile name and WKT polygon ring from bbox)
See: https://modis-land.gsfc.nasa.gov/MODLAND_grid.html
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dshean/demcoreg | demcoreg/dem_mask.py | get_modscag_fn_list | def get_modscag_fn_list(dem_dt, tile_list=('h08v04', 'h09v04', 'h10v04', 'h08v05', 'h09v05'), pad_days=7):
"""Function to fetch and process MODSCAG fractional snow cover products for input datetime
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example url: https://snow-data.jpl.nasa.gov/modscag-histor... | python | def get_modscag_fn_list(dem_dt, tile_list=('h08v04', 'h09v04', 'h10v04', 'h08v05', 'h09v05'), pad_days=7):
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dshean/demcoreg | demcoreg/dem_mask.py | proc_modscag | def proc_modscag(fn_list, extent=None, t_srs=None):
"""Process the MODSCAG products for full date range, create composites and reproject
"""
#Use cubic spline here for improve upsampling
ds_list = warplib.memwarp_multi_fn(fn_list, res='min', extent=extent, t_srs=t_srs, r='cubicspline')
stack_fn = o... | python | def proc_modscag(fn_list, extent=None, t_srs=None):
"""Process the MODSCAG products for full date range, create composites and reproject
"""
#Use cubic spline here for improve upsampling
ds_list = warplib.memwarp_multi_fn(fn_list, res='min', extent=extent, t_srs=t_srs, r='cubicspline')
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iotile/coretools | iotilebuild/iotile/build/tilebus/descriptor.py | TBDescriptor._value_length | def _value_length(self, value, t):
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if isinstance(value, int):
fmt = '<%s' % (type_codes[t])
output = struct.pack(fmt, value)
return len(output)
elif isinstance(value, str):
r... | python | def _value_length(self, value, t):
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output = struct.pack(fmt, value)
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iotile/coretools | iotilebuild/iotile/build/tilebus/descriptor.py | TBDescriptor._parse_line | def _parse_line(self, line_no, line):
"""Parse a line in a TileBus file
Args:
line_no (int): The line number for printing useful error messages
line (string): The line that we are trying to parse
"""
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... | python | def _parse_line(self, line_no, line):
"""Parse a line in a TileBus file
Args:
line_no (int): The line number for printing useful error messages
line (string): The line that we are trying to parse
"""
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iotile/coretools | iotilebuild/iotile/build/tilebus/descriptor.py | TBDescriptor._validate_information | def _validate_information(self):
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raise DataError("Needed variable was not defined in mi... | python | def _validate_information(self):
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iotile/coretools | iotilebuild/iotile/build/tilebus/descriptor.py | TBDescriptor.get_block | def get_block(self, config_only=False):
"""Create a TileBus Block based on the information in this descriptor"""
mib = TBBlock()
for cid, config in self.configs.items():
mib.add_config(cid, config)
if not config_only:
for key, val in self.commands.items():
... | python | def get_block(self, config_only=False):
"""Create a TileBus Block based on the information in this descriptor"""
mib = TBBlock()
for cid, config in self.configs.items():
mib.add_config(cid, config)
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iotile/coretools | iotilegateway/iotilegateway/device.py | AggregatingDeviceAdapter.add_adapter | def add_adapter(self, adapter):
"""Add a device adapter to this aggregating adapter."""
if self._started:
raise InternalError("New adapters cannot be added after start() is called")
if isinstance(adapter, DeviceAdapter):
self._logger.warning("Wrapping legacy device adap... | python | def add_adapter(self, adapter):
"""Add a device adapter to this aggregating adapter."""
if self._started:
raise InternalError("New adapters cannot be added after start() is called")
if isinstance(adapter, DeviceAdapter):
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iotile/coretools | iotilegateway/iotilegateway/device.py | AggregatingDeviceAdapter.get_config | def get_config(self, name, default=_MISSING):
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See :meth:`AbstractDeviceAdapter.get_config`.
"""
val = self._config.get(name, default)
if val is _MISSING:
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See :meth:`AbstractDeviceAdapter.get_config`.
"""
val = self._config.get(name, default)
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iotile/coretools | iotilegateway/iotilegateway/device.py | AggregatingDeviceAdapter.start | async def start(self):
"""Start all adapters managed by this device adapter.
If there is an error starting one or more adapters, this method will
stop any adapters that we successfully started and raise an exception.
"""
successful = 0
try:
for adapter in s... | python | async def start(self):
"""Start all adapters managed by this device adapter.
If there is an error starting one or more adapters, this method will
stop any adapters that we successfully started and raise an exception.
"""
successful = 0
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iotile/coretools | iotilegateway/iotilegateway/device.py | AggregatingDeviceAdapter.visible_devices | def visible_devices(self):
"""Unify all visible devices across all connected adapters
Returns:
dict: A dictionary mapping UUIDs to device information dictionaries
"""
devs = {}
for device_id, adapters in self._devices.items():
dev = None
max... | python | def visible_devices(self):
"""Unify all visible devices across all connected adapters
Returns:
dict: A dictionary mapping UUIDs to device information dictionaries
"""
devs = {}
for device_id, adapters in self._devices.items():
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iotile/coretools | iotilegateway/iotilegateway/device.py | AggregatingDeviceAdapter.probe | async def probe(self):
"""Probe for devices.
This method will probe all adapters that can probe and will send a
notification for all devices that we have seen from all adapters.
See :meth:`AbstractDeviceAdapter.probe`.
"""
for adapter in self.adapters:
if a... | python | async def probe(self):
"""Probe for devices.
This method will probe all adapters that can probe and will send a
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See :meth:`AbstractDeviceAdapter.probe`.
"""
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iotile/coretools | iotilegateway/iotilegateway/device.py | AggregatingDeviceAdapter.send_script | async def send_script(self, conn_id, data):
"""Send a script to a device.
See :meth:`AbstractDeviceAdapter.send_script`.
"""
adapter_id = self._get_property(conn_id, 'adapter')
return await self.adapters[adapter_id].send_script(conn_id, data) | python | async def send_script(self, conn_id, data):
"""Send a script to a device.
See :meth:`AbstractDeviceAdapter.send_script`.
"""
adapter_id = self._get_property(conn_id, 'adapter')
return await self.adapters[adapter_id].send_script(conn_id, data) | [
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iotile/coretools | iotilegateway/iotilegateway/device.py | AggregatingDeviceAdapter.handle_adapter_event | async def handle_adapter_event(self, adapter_id, conn_string, conn_id, name, event):
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self._track_device_seen(adapter_id, conn_string, event)
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"""Handle an event received from an adapter."""
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iotile/coretools | iotilegateway/iotilegateway/device.py | AggregatingDeviceAdapter._device_expiry_callback | def _device_expiry_callback(self):
"""Periodic callback to remove expired devices from visible_devices."""
expired = 0
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for adapter_id, dev in adapters.items():
if 'expir... | python | def _device_expiry_callback(self):
"""Periodic callback to remove expired devices from visible_devices."""
expired = 0
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now = monotonic()
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iotile/coretools | iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Variables/PathVariable.py | _PathVariableClass.PathIsDir | def PathIsDir(self, key, val, env):
"""Validator to check if Path is a directory."""
if not os.path.isdir(val):
if os.path.isfile(val):
m = 'Directory path for option %s is a file: %s'
else:
m = 'Directory path for option %s does not exist: %s'
... | python | def PathIsDir(self, key, val, env):
"""Validator to check if Path is a directory."""
if not os.path.isdir(val):
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m = 'Directory path for option %s is a file: %s'
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iotile/coretools | iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Variables/PathVariable.py | _PathVariableClass.PathExists | def PathExists(self, key, val, env):
"""Validator to check if Path exists"""
if not os.path.exists(val):
m = 'Path for option %s does not exist: %s'
raise SCons.Errors.UserError(m % (key, val)) | python | def PathExists(self, key, val, env):
"""Validator to check if Path exists"""
if not os.path.exists(val):
m = 'Path for option %s does not exist: %s'
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphSubsystem._reset_vector | async def _reset_vector(self):
"""Background task to initialize this system in the event loop."""
self._logger.debug("sensor_graph subsystem task starting")
# If there is a persistent sgf loaded, send reset information.
self.initialized.set()
while True:
stream, r... | python | async def _reset_vector(self):
"""Background task to initialize this system in the event loop."""
self._logger.debug("sensor_graph subsystem task starting")
# If there is a persistent sgf loaded, send reset information.
self.initialized.set()
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphSubsystem.acknowledge_streamer | def acknowledge_streamer(self, index, ack, force):
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphSubsystem._handle_streamer_finished | def _handle_streamer_finished(self, index, succeeded, highest_ack):
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# Check for any triggered streamers and pass them to stream manager
in_progress = self._stream_manager.in_progress()
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphSubsystem.persist | def persist(self):
"""Trigger saving the current sensorgraph to persistent storage."""
self.persisted_nodes = self.graph.dump_nodes()
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self.persisted_exists = True
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"""Trigger saving the current sensorgraph to persistent storage."""
self.persisted_nodes = self.graph.dump_nodes()
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphSubsystem.reset | def reset(self):
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"""Clear the sensorgraph from RAM and flash."""
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self.persisted_constants = []
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphSubsystem.add_node | def add_node(self, binary_descriptor):
"""Add a node to the sensor_graph using a binary node descriptor.
Args:
binary_descriptor (bytes): An encoded binary node descriptor.
Returns:
int: A packed error code.
"""
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"""Add a node to the sensor_graph using a binary node descriptor.
Args:
binary_descriptor (bytes): An encoded binary node descriptor.
Returns:
int: A packed error code.
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphSubsystem.add_streamer | def add_streamer(self, binary_descriptor):
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binary_descriptor (bytes): An encoded binary streamer descriptor.
Returns:
int: A packed error code
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binary_descriptor (bytes): An encoded binary streamer descriptor.
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphSubsystem.inspect_streamer | def inspect_streamer(self, index):
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphSubsystem.inspect_node | def inspect_node(self, index):
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphSubsystem.query_streamer | def query_streamer(self, index):
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphMixin.sg_graph_input | def sg_graph_input(self, value, stream_id):
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iotile/coretools | iotileemulate/iotile/emulate/reference/controller_features/sensor_graph.py | SensorGraphMixin.sg_add_streamer | def sg_add_streamer(self, desc):
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iotile/coretools | iotilecore/iotile/core/utilities/workqueue_thread.py | WorkQueueThread.stop | def stop(self, timeout=None, force=False):
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iotile/coretools | iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Tool/wix.py | generate | def generate(env):
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iotile/coretools | transport_plugins/awsiot/iotile_transport_awsiot/connection_manager.py | ConnectionManager.get_connection_id | def get_connection_id(self, conn_or_int_id):
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iotile/coretools | transport_plugins/awsiot/iotile_transport_awsiot/connection_manager.py | ConnectionManager.unexpected_disconnect | def unexpected_disconnect(self, conn_or_internal_id):
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iotile/coretools | transport_plugins/awsiot/iotile_transport_awsiot/connection_manager.py | ConnectionManager.finish_operation | def finish_operation(self, conn_or_internal_id, success, *args):
"""Finish an operation on a connection.
Args:
conn_or_internal_id (string, int): Either an integer connection id or a string
internal_id
success (bool): Whether the operation was successful
... | python | def finish_operation(self, conn_or_internal_id, success, *args):
"""Finish an operation on a connection.
Args:
conn_or_internal_id (string, int): Either an integer connection id or a string
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iotile/coretools | transport_plugins/awsiot/iotile_transport_awsiot/connection_manager.py | ConnectionManager._finish_operation_action | def _finish_operation_action(self, action):
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action (ConnectionAction): the action object describing the result
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"""
success = action.data['success']
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action (ConnectionAction): the action object describing the result
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iotile/coretools | iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Scanner/LaTeX.py | LaTeX.canonical_text | def canonical_text(self, text):
"""Standardize an input TeX-file contents.
Currently:
* removes comments, unwrapping comment-wrapped lines.
"""
out = []
line_continues_a_comment = False
for line in text.splitlines():
line,comment = self.comment_re.f... | python | def canonical_text(self, text):
"""Standardize an input TeX-file contents.
Currently:
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"""
out = []
line_continues_a_comment = False
for line in text.splitlines():
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iotile/coretools | iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Scanner/LaTeX.py | LaTeX.scan_recurse | def scan_recurse(self, node, path=()):
""" do a recursive scan of the top level target file
This lets us search for included files based on the
directory of the main file just as latex does"""
path_dict = dict(list(path))
queue = []
queue.extend( self.scan(node... | python | def scan_recurse(self, node, path=()):
""" do a recursive scan of the top level target file
This lets us search for included files based on the
directory of the main file just as latex does"""
path_dict = dict(list(path))
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iotile/coretools | iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Debug.py | caller_trace | def caller_trace(back=0):
"""
Trace caller stack and save info into global dicts, which
are printed automatically at the end of SCons execution.
"""
global caller_bases, caller_dicts
import traceback
tb = traceback.extract_stack(limit=3+back)
tb.reverse()
callee = tb[1][:3]
calle... | python | def caller_trace(back=0):
"""
Trace caller stack and save info into global dicts, which
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"""
global caller_bases, caller_dicts
import traceback
tb = traceback.extract_stack(limit=3+back)
tb.reverse()
callee = tb[1][:3]
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iotile/coretools | iotilecore/iotile/core/utilities/intelhex/__init__.py | diff_dumps | def diff_dumps(ih1, ih2, tofile=None, name1="a", name2="b", n_context=3):
"""Diff 2 IntelHex objects and produce unified diff output for their
hex dumps.
@param ih1 first IntelHex object to compare
@param ih2 second IntelHex object to compare
@param tofile file-like object to writ... | python | def diff_dumps(ih1, ih2, tofile=None, name1="a", name2="b", n_context=3):
"""Diff 2 IntelHex objects and produce unified diff output for their
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@param ih1 first IntelHex object to compare
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iotile/coretools | iotilecore/iotile/core/utilities/intelhex/__init__.py | IntelHex._decode_record | def _decode_record(self, s, line=0):
'''Decode one record of HEX file.
@param s line with HEX record.
@param line line number (for error messages).
@raise EndOfFile if EOF record encountered.
'''
s = s.rstrip('\r\n')
if not s:
return ... | python | def _decode_record(self, s, line=0):
'''Decode one record of HEX file.
@param s line with HEX record.
@param line line number (for error messages).
@raise EndOfFile if EOF record encountered.
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iotile/coretools | iotilecore/iotile/core/utilities/intelhex/__init__.py | IntelHex.loadhex | def loadhex(self, fobj):
"""Load hex file into internal buffer. This is not necessary
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addresses if object was already initialized.
@param fobj file name or file-like object
"""
if getattr(fobj, "read"... | python | def loadhex(self, fobj):
"""Load hex file into internal buffer. This is not necessary
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@param fobj file name or file-like object
"""
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iotile/coretools | iotilecore/iotile/core/utilities/intelhex/__init__.py | IntelHex.loadbin | def loadbin(self, fobj, offset=0):
"""Load bin file into internal buffer. Not needed if source set in
constructor. This will overwrite addresses without warning
if object was already initialized.
@param fobj file name or file-like object
@param offset starting addr... | python | def loadbin(self, fobj, offset=0):
"""Load bin file into internal buffer. Not needed if source set in
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@param fobj file name or file-like object
@param offset starting addr... | [
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iotile/coretools | iotilecore/iotile/core/utilities/intelhex/__init__.py | IntelHex.loadfile | def loadfile(self, fobj, format):
"""Load data file into internal buffer. Preferred wrapper over
loadbin or loadhex.
@param fobj file name or file-like object
@param format file format ("hex" or "bin")
"""
if format == "hex":
self.loadhex(fobj)
... | python | def loadfile(self, fobj, format):
"""Load data file into internal buffer. Preferred wrapper over
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@param fobj file name or file-like object
@param format file format ("hex" or "bin")
"""
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iotile/coretools | iotilecore/iotile/core/utilities/intelhex/__init__.py | IntelHex._get_start_end | def _get_start_end(self, start=None, end=None, size=None):
"""Return default values for start and end if they are None.
If this IntelHex object is empty then it's error to
invoke this method with both start and end as None.
"""
if (start,end) == (None,None) and self._buf == {}:
... | python | def _get_start_end(self, start=None, end=None, size=None):
"""Return default values for start and end if they are None.
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iotile/coretools | iotilecore/iotile/core/utilities/intelhex/__init__.py | IntelHex.tobinarray | def tobinarray(self, start=None, end=None, pad=_DEPRECATED, size=None):
''' Convert this object to binary form as array. If start and end
unspecified, they will be inferred from the data.
@param start start address of output bytes.
@param end end address of output bytes (inclusiv... | python | def tobinarray(self, start=None, end=None, pad=_DEPRECATED, size=None):
''' Convert this object to binary form as array. If start and end
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