code
stringlengths 75
104k
| docstring
stringlengths 1
46.9k
| text
stringlengths 164
112k
|
|---|---|---|
def _draw_polygons(self, feature, bg, colour, extent, polygons, xo, yo):
"""Draw a set of polygons from a vector tile."""
coords = []
for polygon in polygons:
coords.append([self._scale_coords(x, y, extent, xo, yo) for x, y in polygon])
# Polygons are expensive to draw and the buildings layer is huge - so we convert to
# lines in order to process updates fast enough to animate.
if "type" in feature["properties"] and "building" in feature["properties"]["type"]:
for line in coords:
self._draw_lines_internal(line, colour, bg)
else:
self._screen.fill_polygon(coords, colour=colour, bg=bg) | Draw a set of polygons from a vector tile. | Below is the the instruction that describes the task:
### Input:
Draw a set of polygons from a vector tile.
### Response:
def _draw_polygons(self, feature, bg, colour, extent, polygons, xo, yo):
"""Draw a set of polygons from a vector tile."""
coords = []
for polygon in polygons:
coords.append([self._scale_coords(x, y, extent, xo, yo) for x, y in polygon])
# Polygons are expensive to draw and the buildings layer is huge - so we convert to
# lines in order to process updates fast enough to animate.
if "type" in feature["properties"] and "building" in feature["properties"]["type"]:
for line in coords:
self._draw_lines_internal(line, colour, bg)
else:
self._screen.fill_polygon(coords, colour=colour, bg=bg) |
def Define_TreeTable(self, heads, heads2=None):
''' Define a TreeTable with a heading row
and optionally a second heading row.
'''
display_heads = []
display_heads.append(tuple(heads[2:]))
self.tree_table = TreeTable()
self.tree_table.append_from_list(display_heads, fill_title=True)
if heads2 is not None:
heads2_color = heads2[1]
row_widget = gui.TableRow()
for index, field in enumerate(heads2[2:]):
row_item = gui.TableItem(text=field,
style={'background-color': heads2_color})
row_widget.append(row_item, field)
self.tree_table.append(row_widget, heads2[0])
self.wid.append(self.tree_table) | Define a TreeTable with a heading row
and optionally a second heading row. | Below is the the instruction that describes the task:
### Input:
Define a TreeTable with a heading row
and optionally a second heading row.
### Response:
def Define_TreeTable(self, heads, heads2=None):
''' Define a TreeTable with a heading row
and optionally a second heading row.
'''
display_heads = []
display_heads.append(tuple(heads[2:]))
self.tree_table = TreeTable()
self.tree_table.append_from_list(display_heads, fill_title=True)
if heads2 is not None:
heads2_color = heads2[1]
row_widget = gui.TableRow()
for index, field in enumerate(heads2[2:]):
row_item = gui.TableItem(text=field,
style={'background-color': heads2_color})
row_widget.append(row_item, field)
self.tree_table.append(row_widget, heads2[0])
self.wid.append(self.tree_table) |
def interprocess_locked(path):
"""Acquires & releases a interprocess lock around call into
decorated function."""
lock = InterProcessLock(path)
def decorator(f):
@six.wraps(f)
def wrapper(*args, **kwargs):
with lock:
return f(*args, **kwargs)
return wrapper
return decorator | Acquires & releases a interprocess lock around call into
decorated function. | Below is the the instruction that describes the task:
### Input:
Acquires & releases a interprocess lock around call into
decorated function.
### Response:
def interprocess_locked(path):
"""Acquires & releases a interprocess lock around call into
decorated function."""
lock = InterProcessLock(path)
def decorator(f):
@six.wraps(f)
def wrapper(*args, **kwargs):
with lock:
return f(*args, **kwargs)
return wrapper
return decorator |
def _merge_fields(a, b):
"""Merge two lists of fields.
Fields in `b` override fields in `a`. Fields in `a` are output first.
"""
a_names = set(x[0] for x in a)
b_names = set(x[0] for x in b)
a_keep = a_names - b_names
fields = []
for name, field in a:
if name in a_keep:
fields.append((name, field))
fields.extend(b)
return fields | Merge two lists of fields.
Fields in `b` override fields in `a`. Fields in `a` are output first. | Below is the the instruction that describes the task:
### Input:
Merge two lists of fields.
Fields in `b` override fields in `a`. Fields in `a` are output first.
### Response:
def _merge_fields(a, b):
"""Merge two lists of fields.
Fields in `b` override fields in `a`. Fields in `a` are output first.
"""
a_names = set(x[0] for x in a)
b_names = set(x[0] for x in b)
a_keep = a_names - b_names
fields = []
for name, field in a:
if name in a_keep:
fields.append((name, field))
fields.extend(b)
return fields |
def set_params_value(self, *params):
"""
This interface is used to set parameter value for an function in abi file.
"""
if len(params) != len(self.parameters):
raise Exception("parameter error")
temp = self.parameters
self.parameters = []
for i in range(len(params)):
self.parameters.append(Parameter(temp[i]['name'], temp[i]['type']))
self.parameters[i].set_value(params[i]) | This interface is used to set parameter value for an function in abi file. | Below is the the instruction that describes the task:
### Input:
This interface is used to set parameter value for an function in abi file.
### Response:
def set_params_value(self, *params):
"""
This interface is used to set parameter value for an function in abi file.
"""
if len(params) != len(self.parameters):
raise Exception("parameter error")
temp = self.parameters
self.parameters = []
for i in range(len(params)):
self.parameters.append(Parameter(temp[i]['name'], temp[i]['type']))
self.parameters[i].set_value(params[i]) |
def get_all_loopbacks(engine):
"""
Get all loopback interfaces for a given engine
"""
data = []
if 'fw_cluster' in engine.type:
for cvi in engine.data.get('loopback_cluster_virtual_interface', []):
data.append(
LoopbackClusterInterface(cvi, engine))
for node in engine.nodes:
for lb in node.data.get('loopback_node_dedicated_interface', []):
data.append(LoopbackInterface(lb, engine))
return data | Get all loopback interfaces for a given engine | Below is the the instruction that describes the task:
### Input:
Get all loopback interfaces for a given engine
### Response:
def get_all_loopbacks(engine):
"""
Get all loopback interfaces for a given engine
"""
data = []
if 'fw_cluster' in engine.type:
for cvi in engine.data.get('loopback_cluster_virtual_interface', []):
data.append(
LoopbackClusterInterface(cvi, engine))
for node in engine.nodes:
for lb in node.data.get('loopback_node_dedicated_interface', []):
data.append(LoopbackInterface(lb, engine))
return data |
def run(command, encoding=None, decode=True, cwd=None):
"""Run a command [cmd, arg1, arg2, ...].
Returns the output (stdout + stderr).
Raises CommandFailed in cases of error.
"""
if not encoding:
encoding = locale.getpreferredencoding()
try:
with open(os.devnull, 'rb') as devnull:
pipe = subprocess.Popen(command, stdin=devnull,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT, cwd=cwd)
except OSError as e:
raise Failure("could not run %s: %s" % (command, e))
output = pipe.communicate()[0]
if decode:
output = output.decode(encoding)
status = pipe.wait()
if status != 0:
raise CommandFailed(command, status, output)
return output | Run a command [cmd, arg1, arg2, ...].
Returns the output (stdout + stderr).
Raises CommandFailed in cases of error. | Below is the the instruction that describes the task:
### Input:
Run a command [cmd, arg1, arg2, ...].
Returns the output (stdout + stderr).
Raises CommandFailed in cases of error.
### Response:
def run(command, encoding=None, decode=True, cwd=None):
"""Run a command [cmd, arg1, arg2, ...].
Returns the output (stdout + stderr).
Raises CommandFailed in cases of error.
"""
if not encoding:
encoding = locale.getpreferredencoding()
try:
with open(os.devnull, 'rb') as devnull:
pipe = subprocess.Popen(command, stdin=devnull,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT, cwd=cwd)
except OSError as e:
raise Failure("could not run %s: %s" % (command, e))
output = pipe.communicate()[0]
if decode:
output = output.decode(encoding)
status = pipe.wait()
if status != 0:
raise CommandFailed(command, status, output)
return output |
def guest_reboot(self, userid):
"""Reboot a guest vm."""
LOG.info("Begin to reboot vm %s", userid)
self._smtclient.guest_reboot(userid)
LOG.info("Complete reboot vm %s", userid) | Reboot a guest vm. | Below is the the instruction that describes the task:
### Input:
Reboot a guest vm.
### Response:
def guest_reboot(self, userid):
"""Reboot a guest vm."""
LOG.info("Begin to reboot vm %s", userid)
self._smtclient.guest_reboot(userid)
LOG.info("Complete reboot vm %s", userid) |
def currentPixmapRect(self):
"""
Returns the rect that defines the boundary for the current pixmap
based on the size of the button and the size of the pixmap.
:return <QtCore.QRect>
"""
pixmap = self.currentPixmap()
rect = self.rect()
size = pixmap.size()
x = rect.center().x() - (size.width() / 2.0)
y = rect.center().y() - (size.height() / 2.0)
return QtCore.QRect(x, y, size.width(), size.height()) | Returns the rect that defines the boundary for the current pixmap
based on the size of the button and the size of the pixmap.
:return <QtCore.QRect> | Below is the the instruction that describes the task:
### Input:
Returns the rect that defines the boundary for the current pixmap
based on the size of the button and the size of the pixmap.
:return <QtCore.QRect>
### Response:
def currentPixmapRect(self):
"""
Returns the rect that defines the boundary for the current pixmap
based on the size of the button and the size of the pixmap.
:return <QtCore.QRect>
"""
pixmap = self.currentPixmap()
rect = self.rect()
size = pixmap.size()
x = rect.center().x() - (size.width() / 2.0)
y = rect.center().y() - (size.height() / 2.0)
return QtCore.QRect(x, y, size.width(), size.height()) |
def getp(self, name):
"""
Get the named parameter.
Parameters
----------
name : string
The parameter name.
Returns
-------
param :
The parameter object.
"""
name = self._mapping.get(name,name)
return self.params[name] | Get the named parameter.
Parameters
----------
name : string
The parameter name.
Returns
-------
param :
The parameter object. | Below is the the instruction that describes the task:
### Input:
Get the named parameter.
Parameters
----------
name : string
The parameter name.
Returns
-------
param :
The parameter object.
### Response:
def getp(self, name):
"""
Get the named parameter.
Parameters
----------
name : string
The parameter name.
Returns
-------
param :
The parameter object.
"""
name = self._mapping.get(name,name)
return self.params[name] |
def update(self, volume, display_name=None, display_description=None):
"""
Update the specified values on the specified volume. You may specify
one or more values to update. If no values are specified as non-None,
the call is a no-op; no exception will be raised.
"""
return volume.update(display_name=display_name,
display_description=display_description) | Update the specified values on the specified volume. You may specify
one or more values to update. If no values are specified as non-None,
the call is a no-op; no exception will be raised. | Below is the the instruction that describes the task:
### Input:
Update the specified values on the specified volume. You may specify
one or more values to update. If no values are specified as non-None,
the call is a no-op; no exception will be raised.
### Response:
def update(self, volume, display_name=None, display_description=None):
"""
Update the specified values on the specified volume. You may specify
one or more values to update. If no values are specified as non-None,
the call is a no-op; no exception will be raised.
"""
return volume.update(display_name=display_name,
display_description=display_description) |
def build_year(self, dt):
"""
Build the page for the provided year.
"""
self.year = str(dt.year)
logger.debug("Building %s" % self.year)
self.request = self.create_request(self.get_url())
target_path = self.get_build_path()
self.build_file(target_path, self.get_content()) | Build the page for the provided year. | Below is the the instruction that describes the task:
### Input:
Build the page for the provided year.
### Response:
def build_year(self, dt):
"""
Build the page for the provided year.
"""
self.year = str(dt.year)
logger.debug("Building %s" % self.year)
self.request = self.create_request(self.get_url())
target_path = self.get_build_path()
self.build_file(target_path, self.get_content()) |
def mgz_to_nifti(filename,prefix=None,gzip=True):
'''Convert ``filename`` to a NIFTI file using ``mri_convert``'''
setup_freesurfer()
if prefix==None:
prefix = nl.prefix(filename) + '.nii'
if gzip and not prefix.endswith('.gz'):
prefix += '.gz'
nl.run([os.path.join(freesurfer_home,'bin','mri_convert'),filename,prefix],products=prefix) | Convert ``filename`` to a NIFTI file using ``mri_convert`` | Below is the the instruction that describes the task:
### Input:
Convert ``filename`` to a NIFTI file using ``mri_convert``
### Response:
def mgz_to_nifti(filename,prefix=None,gzip=True):
'''Convert ``filename`` to a NIFTI file using ``mri_convert``'''
setup_freesurfer()
if prefix==None:
prefix = nl.prefix(filename) + '.nii'
if gzip and not prefix.endswith('.gz'):
prefix += '.gz'
nl.run([os.path.join(freesurfer_home,'bin','mri_convert'),filename,prefix],products=prefix) |
def _set_cfg(self, v, load=False):
"""
Setter method for cfg, mapped from YANG variable /zoning/defined_configuration/cfg (list)
If this variable is read-only (config: false) in the
source YANG file, then _set_cfg is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_cfg() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=YANGListType("cfg_name",cfg.cfg, yang_name="cfg", rest_name="cfg", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cfg-name', extensions={u'tailf-common': {u'info': u'List of defined CFGs', u'cli-no-key-completion': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'cli-full-command': None, u'callpoint': u'zone_defined_cfg'}}), is_container='list', yang_name="cfg", rest_name="cfg", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'List of defined CFGs', u'cli-no-key-completion': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'cli-full-command': None, u'callpoint': u'zone_defined_cfg'}}, namespace='urn:brocade.com:mgmt:brocade-zone', defining_module='brocade-zone', yang_type='list', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """cfg must be of a type compatible with list""",
'defined-type': "list",
'generated-type': """YANGDynClass(base=YANGListType("cfg_name",cfg.cfg, yang_name="cfg", rest_name="cfg", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cfg-name', extensions={u'tailf-common': {u'info': u'List of defined CFGs', u'cli-no-key-completion': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'cli-full-command': None, u'callpoint': u'zone_defined_cfg'}}), is_container='list', yang_name="cfg", rest_name="cfg", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'List of defined CFGs', u'cli-no-key-completion': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'cli-full-command': None, u'callpoint': u'zone_defined_cfg'}}, namespace='urn:brocade.com:mgmt:brocade-zone', defining_module='brocade-zone', yang_type='list', is_config=True)""",
})
self.__cfg = t
if hasattr(self, '_set'):
self._set() | Setter method for cfg, mapped from YANG variable /zoning/defined_configuration/cfg (list)
If this variable is read-only (config: false) in the
source YANG file, then _set_cfg is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_cfg() directly. | Below is the the instruction that describes the task:
### Input:
Setter method for cfg, mapped from YANG variable /zoning/defined_configuration/cfg (list)
If this variable is read-only (config: false) in the
source YANG file, then _set_cfg is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_cfg() directly.
### Response:
def _set_cfg(self, v, load=False):
"""
Setter method for cfg, mapped from YANG variable /zoning/defined_configuration/cfg (list)
If this variable is read-only (config: false) in the
source YANG file, then _set_cfg is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_cfg() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=YANGListType("cfg_name",cfg.cfg, yang_name="cfg", rest_name="cfg", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cfg-name', extensions={u'tailf-common': {u'info': u'List of defined CFGs', u'cli-no-key-completion': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'cli-full-command': None, u'callpoint': u'zone_defined_cfg'}}), is_container='list', yang_name="cfg", rest_name="cfg", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'List of defined CFGs', u'cli-no-key-completion': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'cli-full-command': None, u'callpoint': u'zone_defined_cfg'}}, namespace='urn:brocade.com:mgmt:brocade-zone', defining_module='brocade-zone', yang_type='list', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """cfg must be of a type compatible with list""",
'defined-type': "list",
'generated-type': """YANGDynClass(base=YANGListType("cfg_name",cfg.cfg, yang_name="cfg", rest_name="cfg", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cfg-name', extensions={u'tailf-common': {u'info': u'List of defined CFGs', u'cli-no-key-completion': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'cli-full-command': None, u'callpoint': u'zone_defined_cfg'}}), is_container='list', yang_name="cfg", rest_name="cfg", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'List of defined CFGs', u'cli-no-key-completion': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'cli-full-command': None, u'callpoint': u'zone_defined_cfg'}}, namespace='urn:brocade.com:mgmt:brocade-zone', defining_module='brocade-zone', yang_type='list', is_config=True)""",
})
self.__cfg = t
if hasattr(self, '_set'):
self._set() |
def _create_query(node, context):
"""Create a query from a SqlNode.
Args:
node: SqlNode, the current node.
context: CompilationContext, global compilation state and metadata.
Returns:
Selectable, selectable of the generated query.
"""
visited_nodes = [node]
output_columns = _get_output_columns(visited_nodes, context)
filters = _get_filters(visited_nodes, context)
selectable = sql_context_helpers.get_node_selectable(node, context)
query = select(output_columns).select_from(selectable).where(and_(*filters))
return query | Create a query from a SqlNode.
Args:
node: SqlNode, the current node.
context: CompilationContext, global compilation state and metadata.
Returns:
Selectable, selectable of the generated query. | Below is the the instruction that describes the task:
### Input:
Create a query from a SqlNode.
Args:
node: SqlNode, the current node.
context: CompilationContext, global compilation state and metadata.
Returns:
Selectable, selectable of the generated query.
### Response:
def _create_query(node, context):
"""Create a query from a SqlNode.
Args:
node: SqlNode, the current node.
context: CompilationContext, global compilation state and metadata.
Returns:
Selectable, selectable of the generated query.
"""
visited_nodes = [node]
output_columns = _get_output_columns(visited_nodes, context)
filters = _get_filters(visited_nodes, context)
selectable = sql_context_helpers.get_node_selectable(node, context)
query = select(output_columns).select_from(selectable).where(and_(*filters))
return query |
def as_number(self):
"""
>>> round(SummableVersion('1.9.3').as_number(), 12)
1.93
"""
def combine(subver, ver):
return subver / 10 + ver
return reduce(combine, reversed(self.version)) | >>> round(SummableVersion('1.9.3').as_number(), 12)
1.93 | Below is the the instruction that describes the task:
### Input:
>>> round(SummableVersion('1.9.3').as_number(), 12)
1.93
### Response:
def as_number(self):
"""
>>> round(SummableVersion('1.9.3').as_number(), 12)
1.93
"""
def combine(subver, ver):
return subver / 10 + ver
return reduce(combine, reversed(self.version)) |
def help_cli_search(self):
""" Help for Workbench CLI Search """
help = '%sSearch: %s returns sample_sets, a sample_set is a set/list of md5s.' % (color.Yellow, color.Green)
help += '\n\n\t%sSearch for all samples in the database that are known bad pe files,' % (color.Green)
help += '\n\t%sthis command returns the sample_set containing the matching items'% (color.Green)
help += '\n\t%s> my_bad_exes = search([\'bad\', \'exe\'])' % (color.LightBlue)
help += '\n\n\t%sRun workers on this sample_set:' % (color.Green)
help += '\n\t%s> pe_outputs = pe_features(my_bad_exes) %s' % (color.LightBlue, color.Normal)
help += '\n\n\t%sLoop on the generator (or make a DataFrame see >help dataframe)' % (color.Green)
help += '\n\t%s> for output in pe_outputs: %s' % (color.LightBlue, color.Normal)
help += '\n\t\t%s print output %s' % (color.LightBlue, color.Normal)
return help | Help for Workbench CLI Search | Below is the the instruction that describes the task:
### Input:
Help for Workbench CLI Search
### Response:
def help_cli_search(self):
""" Help for Workbench CLI Search """
help = '%sSearch: %s returns sample_sets, a sample_set is a set/list of md5s.' % (color.Yellow, color.Green)
help += '\n\n\t%sSearch for all samples in the database that are known bad pe files,' % (color.Green)
help += '\n\t%sthis command returns the sample_set containing the matching items'% (color.Green)
help += '\n\t%s> my_bad_exes = search([\'bad\', \'exe\'])' % (color.LightBlue)
help += '\n\n\t%sRun workers on this sample_set:' % (color.Green)
help += '\n\t%s> pe_outputs = pe_features(my_bad_exes) %s' % (color.LightBlue, color.Normal)
help += '\n\n\t%sLoop on the generator (or make a DataFrame see >help dataframe)' % (color.Green)
help += '\n\t%s> for output in pe_outputs: %s' % (color.LightBlue, color.Normal)
help += '\n\t\t%s print output %s' % (color.LightBlue, color.Normal)
return help |
def gnuplot_2d(x, y, filename, title='', x_label='', y_label=''):
'''
Function to produce a general 2D plot.
Args:
x (list): x points.
y (list): y points.
filename (str): Filename of the output image.
title (str): Title of the plot. Default is '' (no title).
x_label (str): x-axis label.
y_label (str): y-axis label.
'''
_, ext = os.path.splitext(filename)
if ext != '.png':
filename += '.png'
gnuplot_cmds = \
'''
set datafile separator ","
set term pngcairo size 30cm,25cm
set out filename
unset key
set border lw 1.5
set grid lt -1 lc rgb "gray80"
set title title
set xlabel x_label
set ylabel y_label
plot filename_data u 1:2 w lp pt 6 ps 0.5
'''
scr = _GnuplotScriptTemp(gnuplot_cmds)
data = _GnuplotDataTemp(x, y)
args_dict = {
'filename': filename,
'filename_data': data.name,
'title': title,
'x_label': x_label,
'y_label': y_label
}
gnuplot(scr.name, args_dict) | Function to produce a general 2D plot.
Args:
x (list): x points.
y (list): y points.
filename (str): Filename of the output image.
title (str): Title of the plot. Default is '' (no title).
x_label (str): x-axis label.
y_label (str): y-axis label. | Below is the the instruction that describes the task:
### Input:
Function to produce a general 2D plot.
Args:
x (list): x points.
y (list): y points.
filename (str): Filename of the output image.
title (str): Title of the plot. Default is '' (no title).
x_label (str): x-axis label.
y_label (str): y-axis label.
### Response:
def gnuplot_2d(x, y, filename, title='', x_label='', y_label=''):
'''
Function to produce a general 2D plot.
Args:
x (list): x points.
y (list): y points.
filename (str): Filename of the output image.
title (str): Title of the plot. Default is '' (no title).
x_label (str): x-axis label.
y_label (str): y-axis label.
'''
_, ext = os.path.splitext(filename)
if ext != '.png':
filename += '.png'
gnuplot_cmds = \
'''
set datafile separator ","
set term pngcairo size 30cm,25cm
set out filename
unset key
set border lw 1.5
set grid lt -1 lc rgb "gray80"
set title title
set xlabel x_label
set ylabel y_label
plot filename_data u 1:2 w lp pt 6 ps 0.5
'''
scr = _GnuplotScriptTemp(gnuplot_cmds)
data = _GnuplotDataTemp(x, y)
args_dict = {
'filename': filename,
'filename_data': data.name,
'title': title,
'x_label': x_label,
'y_label': y_label
}
gnuplot(scr.name, args_dict) |
def _get_status_tokens(self):
" The tokens for the status bar. "
result = []
# Display panes.
for i, w in enumerate(self.pymux.arrangement.windows):
if i > 0:
result.append(('', ' '))
if w == self.pymux.arrangement.get_active_window():
style = 'class:window.current'
format_str = self.pymux.window_status_current_format
else:
style = 'class:window'
format_str = self.pymux.window_status_format
result.append((
style,
format_pymux_string(self.pymux, format_str, window=w),
self._create_select_window_handler(w)))
return result | The tokens for the status bar. | Below is the the instruction that describes the task:
### Input:
The tokens for the status bar.
### Response:
def _get_status_tokens(self):
" The tokens for the status bar. "
result = []
# Display panes.
for i, w in enumerate(self.pymux.arrangement.windows):
if i > 0:
result.append(('', ' '))
if w == self.pymux.arrangement.get_active_window():
style = 'class:window.current'
format_str = self.pymux.window_status_current_format
else:
style = 'class:window'
format_str = self.pymux.window_status_format
result.append((
style,
format_pymux_string(self.pymux, format_str, window=w),
self._create_select_window_handler(w)))
return result |
def _build_contract_creation_tx_with_valid_signature(self, tx_dict: Dict[str, None], s: int) -> Transaction:
"""
Use pyethereum `Transaction` to generate valid tx using a random signature
:param tx_dict: Web3 tx dictionary
:param s: Signature s value
:return: PyEthereum creation tx for the proxy contract
"""
zero_address = HexBytes('0x' + '0' * 40)
f_address = HexBytes('0x' + 'f' * 40)
nonce = tx_dict['nonce']
gas_price = tx_dict['gasPrice']
gas = tx_dict['gas']
to = tx_dict.get('to', b'') # Contract creation should always have `to` empty
value = tx_dict['value']
data = tx_dict['data']
for _ in range(100):
try:
v, r = self.find_valid_random_signature(s)
contract_creation_tx = Transaction(nonce, gas_price, gas, to, value, HexBytes(data), v=v, r=r, s=s)
sender_address = contract_creation_tx.sender
contract_address = contract_creation_tx.creates
if sender_address in (zero_address, f_address) or contract_address in (zero_address, f_address):
raise InvalidTransaction
return contract_creation_tx
except InvalidTransaction:
pass
raise ValueError('Valid signature not found with s=%d', s) | Use pyethereum `Transaction` to generate valid tx using a random signature
:param tx_dict: Web3 tx dictionary
:param s: Signature s value
:return: PyEthereum creation tx for the proxy contract | Below is the the instruction that describes the task:
### Input:
Use pyethereum `Transaction` to generate valid tx using a random signature
:param tx_dict: Web3 tx dictionary
:param s: Signature s value
:return: PyEthereum creation tx for the proxy contract
### Response:
def _build_contract_creation_tx_with_valid_signature(self, tx_dict: Dict[str, None], s: int) -> Transaction:
"""
Use pyethereum `Transaction` to generate valid tx using a random signature
:param tx_dict: Web3 tx dictionary
:param s: Signature s value
:return: PyEthereum creation tx for the proxy contract
"""
zero_address = HexBytes('0x' + '0' * 40)
f_address = HexBytes('0x' + 'f' * 40)
nonce = tx_dict['nonce']
gas_price = tx_dict['gasPrice']
gas = tx_dict['gas']
to = tx_dict.get('to', b'') # Contract creation should always have `to` empty
value = tx_dict['value']
data = tx_dict['data']
for _ in range(100):
try:
v, r = self.find_valid_random_signature(s)
contract_creation_tx = Transaction(nonce, gas_price, gas, to, value, HexBytes(data), v=v, r=r, s=s)
sender_address = contract_creation_tx.sender
contract_address = contract_creation_tx.creates
if sender_address in (zero_address, f_address) or contract_address in (zero_address, f_address):
raise InvalidTransaction
return contract_creation_tx
except InvalidTransaction:
pass
raise ValueError('Valid signature not found with s=%d', s) |
def getAllConfig(self, fmt='json'):
"""
return all element configurations as json string file.
could be further processed by beamline.Lattice class
:param fmt: 'json' (default) or 'dict'
"""
for e in self.getCtrlConf(msgout=False):
self._lattice_confdict.update(e.dumpConfig(type='simu'))
self._lattice_confdict.update(self._lattice.dumpConfig())
if fmt == 'json':
return json.dumps(self._lattice_confdict)
else:
return self._lattice_confdict | return all element configurations as json string file.
could be further processed by beamline.Lattice class
:param fmt: 'json' (default) or 'dict' | Below is the the instruction that describes the task:
### Input:
return all element configurations as json string file.
could be further processed by beamline.Lattice class
:param fmt: 'json' (default) or 'dict'
### Response:
def getAllConfig(self, fmt='json'):
"""
return all element configurations as json string file.
could be further processed by beamline.Lattice class
:param fmt: 'json' (default) or 'dict'
"""
for e in self.getCtrlConf(msgout=False):
self._lattice_confdict.update(e.dumpConfig(type='simu'))
self._lattice_confdict.update(self._lattice.dumpConfig())
if fmt == 'json':
return json.dumps(self._lattice_confdict)
else:
return self._lattice_confdict |
def kwonly_args(kws, required, withdefaults=(), leftovers=False):
"""
Based on the snippet by Eric Snow
http://code.activestate.com/recipes/577940
SPDX-License-Identifier: MIT
"""
if hasattr(withdefaults, 'items'):
# allows for OrderedDict to be passed
withdefaults = withdefaults.items()
kwonly = []
# extract the required keyword-only arguments
missing = []
for name in required:
if name not in kws:
missing.append(name)
else:
kwonly.append(kws.pop(name))
# validate required keyword-only arguments
if missing:
if len(missing) > 2:
end = 's: %s, and %s' % (', '.join(missing[:-1]), missing[-1])
elif len(missing) == 2:
end = 's: %s and %s' % tuple(missing)
else:
end = ': %s' % tuple(missing)
msg = 'missing %s required keyword-only argument%s'
raise TypeError(msg % (len(missing), end))
# handle the withdefaults
for name, value in withdefaults:
if name not in kws:
kwonly.append(value)
else:
kwonly.append(kws.pop(name))
# handle any leftovers
if not leftovers and kws:
msg = "got an unexpected keyword argument '%s'"
raise TypeError(msg % (kws.keys()[0]))
return [kws] + kwonly | Based on the snippet by Eric Snow
http://code.activestate.com/recipes/577940
SPDX-License-Identifier: MIT | Below is the the instruction that describes the task:
### Input:
Based on the snippet by Eric Snow
http://code.activestate.com/recipes/577940
SPDX-License-Identifier: MIT
### Response:
def kwonly_args(kws, required, withdefaults=(), leftovers=False):
"""
Based on the snippet by Eric Snow
http://code.activestate.com/recipes/577940
SPDX-License-Identifier: MIT
"""
if hasattr(withdefaults, 'items'):
# allows for OrderedDict to be passed
withdefaults = withdefaults.items()
kwonly = []
# extract the required keyword-only arguments
missing = []
for name in required:
if name not in kws:
missing.append(name)
else:
kwonly.append(kws.pop(name))
# validate required keyword-only arguments
if missing:
if len(missing) > 2:
end = 's: %s, and %s' % (', '.join(missing[:-1]), missing[-1])
elif len(missing) == 2:
end = 's: %s and %s' % tuple(missing)
else:
end = ': %s' % tuple(missing)
msg = 'missing %s required keyword-only argument%s'
raise TypeError(msg % (len(missing), end))
# handle the withdefaults
for name, value in withdefaults:
if name not in kws:
kwonly.append(value)
else:
kwonly.append(kws.pop(name))
# handle any leftovers
if not leftovers and kws:
msg = "got an unexpected keyword argument '%s'"
raise TypeError(msg % (kws.keys()[0]))
return [kws] + kwonly |
def replace(dict,line):
"""
Find and replace the special words according to the dictionary.
Parameters
==========
dict : Dictionary
A dictionary derived from a yaml file. Source language as keys and the target language as values.
line : String
A string need to be processed.
"""
words = line.split()
new_line = ""
for word in words:
fst = word[0]
last = word[-1]
# Check if the word ends with a punctuation
if last == "," or last == ";" or last == ".":
clean_word = word[0:-1]
last = last + " "
elif last == "]":
clean_word = word[0:-1]
else:
clean_word = word
last = " "
# Check if the word starts with "["
if fst == "[":
clean_word = clean_word[1:]
else:
clean_word = clean_word
fst = ""
find = dict.get(clean_word)
if find == None:
new_line = new_line + fst + str(clean_word) + last
else:
new_line = new_line + fst + str(find) + last
return new_line | Find and replace the special words according to the dictionary.
Parameters
==========
dict : Dictionary
A dictionary derived from a yaml file. Source language as keys and the target language as values.
line : String
A string need to be processed. | Below is the the instruction that describes the task:
### Input:
Find and replace the special words according to the dictionary.
Parameters
==========
dict : Dictionary
A dictionary derived from a yaml file. Source language as keys and the target language as values.
line : String
A string need to be processed.
### Response:
def replace(dict,line):
"""
Find and replace the special words according to the dictionary.
Parameters
==========
dict : Dictionary
A dictionary derived from a yaml file. Source language as keys and the target language as values.
line : String
A string need to be processed.
"""
words = line.split()
new_line = ""
for word in words:
fst = word[0]
last = word[-1]
# Check if the word ends with a punctuation
if last == "," or last == ";" or last == ".":
clean_word = word[0:-1]
last = last + " "
elif last == "]":
clean_word = word[0:-1]
else:
clean_word = word
last = " "
# Check if the word starts with "["
if fst == "[":
clean_word = clean_word[1:]
else:
clean_word = clean_word
fst = ""
find = dict.get(clean_word)
if find == None:
new_line = new_line + fst + str(clean_word) + last
else:
new_line = new_line + fst + str(find) + last
return new_line |
def _setup_piddir(self):
"""Create the directory for the PID file if necessary."""
if self.pidfile is None:
return
piddir = os.path.dirname(self.pidfile)
if not os.path.isdir(piddir):
# Create the directory with sensible mode and ownership
os.makedirs(piddir, 0o777 & ~self.umask)
os.chown(piddir, self.uid, self.gid) | Create the directory for the PID file if necessary. | Below is the the instruction that describes the task:
### Input:
Create the directory for the PID file if necessary.
### Response:
def _setup_piddir(self):
"""Create the directory for the PID file if necessary."""
if self.pidfile is None:
return
piddir = os.path.dirname(self.pidfile)
if not os.path.isdir(piddir):
# Create the directory with sensible mode and ownership
os.makedirs(piddir, 0o777 & ~self.umask)
os.chown(piddir, self.uid, self.gid) |
def wait(self, till=None):
"""
THE ASSUMPTION IS wait() WILL ALWAYS RETURN WITH THE LOCK ACQUIRED
:param till: WHEN TO GIVE UP WAITING FOR ANOTHER THREAD TO SIGNAL
:return: True IF SIGNALED TO GO, False IF till WAS SIGNALED
"""
waiter = Signal()
if self.waiting:
DEBUG and _Log.note("waiting with {{num}} others on {{name|quote}}", num=len(self.waiting), name=self.name, stack_depth=1)
self.waiting.insert(0, waiter)
else:
DEBUG and _Log.note("waiting by self on {{name|quote}}", name=self.name)
self.waiting = [waiter]
try:
self.lock.release()
DEBUG and _Log.note("out of lock {{name|quote}}", name=self.name)
(waiter | till).wait()
if DEBUG:
_Log.note("done minimum wait (for signal {{till|quote}})", till=till.name if till else "", name=self.name)
except Exception as e:
if not _Log:
_late_import()
_Log.warning("problem", cause=e)
finally:
self.lock.acquire()
DEBUG and _Log.note("re-acquired lock {{name|quote}}", name=self.name)
try:
self.waiting.remove(waiter)
DEBUG and _Log.note("removed own signal from {{name|quote}}", name=self.name)
except Exception:
pass
return bool(waiter) | THE ASSUMPTION IS wait() WILL ALWAYS RETURN WITH THE LOCK ACQUIRED
:param till: WHEN TO GIVE UP WAITING FOR ANOTHER THREAD TO SIGNAL
:return: True IF SIGNALED TO GO, False IF till WAS SIGNALED | Below is the the instruction that describes the task:
### Input:
THE ASSUMPTION IS wait() WILL ALWAYS RETURN WITH THE LOCK ACQUIRED
:param till: WHEN TO GIVE UP WAITING FOR ANOTHER THREAD TO SIGNAL
:return: True IF SIGNALED TO GO, False IF till WAS SIGNALED
### Response:
def wait(self, till=None):
"""
THE ASSUMPTION IS wait() WILL ALWAYS RETURN WITH THE LOCK ACQUIRED
:param till: WHEN TO GIVE UP WAITING FOR ANOTHER THREAD TO SIGNAL
:return: True IF SIGNALED TO GO, False IF till WAS SIGNALED
"""
waiter = Signal()
if self.waiting:
DEBUG and _Log.note("waiting with {{num}} others on {{name|quote}}", num=len(self.waiting), name=self.name, stack_depth=1)
self.waiting.insert(0, waiter)
else:
DEBUG and _Log.note("waiting by self on {{name|quote}}", name=self.name)
self.waiting = [waiter]
try:
self.lock.release()
DEBUG and _Log.note("out of lock {{name|quote}}", name=self.name)
(waiter | till).wait()
if DEBUG:
_Log.note("done minimum wait (for signal {{till|quote}})", till=till.name if till else "", name=self.name)
except Exception as e:
if not _Log:
_late_import()
_Log.warning("problem", cause=e)
finally:
self.lock.acquire()
DEBUG and _Log.note("re-acquired lock {{name|quote}}", name=self.name)
try:
self.waiting.remove(waiter)
DEBUG and _Log.note("removed own signal from {{name|quote}}", name=self.name)
except Exception:
pass
return bool(waiter) |
def nphase_border(im, include_diagonals=False):
r'''
Identifies the voxels in regions that border *N* other regions.
Useful for finding triple-phase boundaries.
Parameters
----------
im : ND-array
An ND image of the porous material containing discrete values in the
pore space identifying different regions. e.g. the result of a
snow-partition
include_diagonals : boolean
When identifying bordering pixels (2D) and voxels (3D) include those
shifted along more than one axis
Returns
-------
image : ND-array
A copy of ``im`` with voxel values equal to the number of uniquely
different bordering values
'''
if im.ndim != im.squeeze().ndim:
warnings.warn('Input image conains a singleton axis:' + str(im.shape) +
' Reduce dimensionality with np.squeeze(im) to avoid' +
' unexpected behavior.')
# Get dimension of image
ndim = len(np.shape(im))
if ndim not in [2, 3]:
raise NotImplementedError("Function only works for 2d and 3d images")
# Pad image to handle edges
im = np.pad(im, pad_width=1, mode='edge')
# Stack rolled images for each neighbor to be inspected
stack = _make_stack(im, include_diagonals)
# Sort the stack along the last axis
stack.sort()
out = np.ones_like(im)
# Run through stack recording when neighbor id changes
# Number of changes is number of unique bordering regions
for k in range(np.shape(stack)[ndim])[1:]:
if ndim == 2:
mask = stack[:, :, k] != stack[:, :, k-1]
elif ndim == 3:
mask = stack[:, :, :, k] != stack[:, :, :, k-1]
out += mask
# Un-pad
if ndim == 2:
return out[1:-1, 1:-1].copy()
else:
return out[1:-1, 1:-1, 1:-1].copy() | r'''
Identifies the voxels in regions that border *N* other regions.
Useful for finding triple-phase boundaries.
Parameters
----------
im : ND-array
An ND image of the porous material containing discrete values in the
pore space identifying different regions. e.g. the result of a
snow-partition
include_diagonals : boolean
When identifying bordering pixels (2D) and voxels (3D) include those
shifted along more than one axis
Returns
-------
image : ND-array
A copy of ``im`` with voxel values equal to the number of uniquely
different bordering values | Below is the the instruction that describes the task:
### Input:
r'''
Identifies the voxels in regions that border *N* other regions.
Useful for finding triple-phase boundaries.
Parameters
----------
im : ND-array
An ND image of the porous material containing discrete values in the
pore space identifying different regions. e.g. the result of a
snow-partition
include_diagonals : boolean
When identifying bordering pixels (2D) and voxels (3D) include those
shifted along more than one axis
Returns
-------
image : ND-array
A copy of ``im`` with voxel values equal to the number of uniquely
different bordering values
### Response:
def nphase_border(im, include_diagonals=False):
r'''
Identifies the voxels in regions that border *N* other regions.
Useful for finding triple-phase boundaries.
Parameters
----------
im : ND-array
An ND image of the porous material containing discrete values in the
pore space identifying different regions. e.g. the result of a
snow-partition
include_diagonals : boolean
When identifying bordering pixels (2D) and voxels (3D) include those
shifted along more than one axis
Returns
-------
image : ND-array
A copy of ``im`` with voxel values equal to the number of uniquely
different bordering values
'''
if im.ndim != im.squeeze().ndim:
warnings.warn('Input image conains a singleton axis:' + str(im.shape) +
' Reduce dimensionality with np.squeeze(im) to avoid' +
' unexpected behavior.')
# Get dimension of image
ndim = len(np.shape(im))
if ndim not in [2, 3]:
raise NotImplementedError("Function only works for 2d and 3d images")
# Pad image to handle edges
im = np.pad(im, pad_width=1, mode='edge')
# Stack rolled images for each neighbor to be inspected
stack = _make_stack(im, include_diagonals)
# Sort the stack along the last axis
stack.sort()
out = np.ones_like(im)
# Run through stack recording when neighbor id changes
# Number of changes is number of unique bordering regions
for k in range(np.shape(stack)[ndim])[1:]:
if ndim == 2:
mask = stack[:, :, k] != stack[:, :, k-1]
elif ndim == 3:
mask = stack[:, :, :, k] != stack[:, :, :, k-1]
out += mask
# Un-pad
if ndim == 2:
return out[1:-1, 1:-1].copy()
else:
return out[1:-1, 1:-1, 1:-1].copy() |
def check_rollout(edits_service, package_name, days):
"""Check if package_name has a release on staged rollout for too long"""
edit = edits_service.insert(body={}, packageName=package_name).execute()
response = edits_service.tracks().get(editId=edit['id'], track='production', packageName=package_name).execute()
releases = response['releases']
for release in releases:
if release['status'] == 'inProgress':
url = 'https://archive.mozilla.org/pub/mobile/releases/{}/SHA512SUMS'.format(release['name'])
resp = requests.head(url)
if resp.status_code != 200:
if resp.status_code != 404: # 404 is expected for release candidates
logger.warning("Could not check %s: %s", url, resp.status_code)
continue
age = time.time() - calendar.timegm(eu.parsedate(resp.headers['Last-Modified']))
if age >= days * DAY:
yield release, age | Check if package_name has a release on staged rollout for too long | Below is the the instruction that describes the task:
### Input:
Check if package_name has a release on staged rollout for too long
### Response:
def check_rollout(edits_service, package_name, days):
"""Check if package_name has a release on staged rollout for too long"""
edit = edits_service.insert(body={}, packageName=package_name).execute()
response = edits_service.tracks().get(editId=edit['id'], track='production', packageName=package_name).execute()
releases = response['releases']
for release in releases:
if release['status'] == 'inProgress':
url = 'https://archive.mozilla.org/pub/mobile/releases/{}/SHA512SUMS'.format(release['name'])
resp = requests.head(url)
if resp.status_code != 200:
if resp.status_code != 404: # 404 is expected for release candidates
logger.warning("Could not check %s: %s", url, resp.status_code)
continue
age = time.time() - calendar.timegm(eu.parsedate(resp.headers['Last-Modified']))
if age >= days * DAY:
yield release, age |
def default_number_converter(number_str):
"""
Converts the string representation of a json number into its python object equivalent, an
int, long, float or whatever type suits.
"""
is_int = (number_str.startswith('-') and number_str[1:].isdigit()) or number_str.isdigit()
# FIXME: this handles a wider range of numbers than allowed by the json standard,
# etc.: float('nan') and float('inf'). But is this a problem?
return int(number_str) if is_int else float(number_str) | Converts the string representation of a json number into its python object equivalent, an
int, long, float or whatever type suits. | Below is the the instruction that describes the task:
### Input:
Converts the string representation of a json number into its python object equivalent, an
int, long, float or whatever type suits.
### Response:
def default_number_converter(number_str):
"""
Converts the string representation of a json number into its python object equivalent, an
int, long, float or whatever type suits.
"""
is_int = (number_str.startswith('-') and number_str[1:].isdigit()) or number_str.isdigit()
# FIXME: this handles a wider range of numbers than allowed by the json standard,
# etc.: float('nan') and float('inf'). But is this a problem?
return int(number_str) if is_int else float(number_str) |
def train(self, data, target, **kwargs):
"""
Used in the training phase. Override.
"""
non_predictors = [i.replace(" ", "_").lower() for i in list(set(data['team']))] + ["team", "next_year_wins"]
self.column_names = [l for l in list(data.columns) if l not in non_predictors]
results, folds = self.cross_validate(data, non_predictors, **kwargs)
self.gather_results(results, folds, data) | Used in the training phase. Override. | Below is the the instruction that describes the task:
### Input:
Used in the training phase. Override.
### Response:
def train(self, data, target, **kwargs):
"""
Used in the training phase. Override.
"""
non_predictors = [i.replace(" ", "_").lower() for i in list(set(data['team']))] + ["team", "next_year_wins"]
self.column_names = [l for l in list(data.columns) if l not in non_predictors]
results, folds = self.cross_validate(data, non_predictors, **kwargs)
self.gather_results(results, folds, data) |
def add_aliases(self_or_cls, **kwargs):
"""
Conveniently add new aliases as keyword arguments. For instance
you can add a new alias with add_aliases(short='Longer string')
"""
self_or_cls.aliases.update({v:k for k,v in kwargs.items()}) | Conveniently add new aliases as keyword arguments. For instance
you can add a new alias with add_aliases(short='Longer string') | Below is the the instruction that describes the task:
### Input:
Conveniently add new aliases as keyword arguments. For instance
you can add a new alias with add_aliases(short='Longer string')
### Response:
def add_aliases(self_or_cls, **kwargs):
"""
Conveniently add new aliases as keyword arguments. For instance
you can add a new alias with add_aliases(short='Longer string')
"""
self_or_cls.aliases.update({v:k for k,v in kwargs.items()}) |
def get_gebouw_by_id(self, id):
'''
Retrieve a `Gebouw` by the Id.
:param integer id: the Id of the `Gebouw`
:rtype: :class:`Gebouw`
'''
def creator():
res = crab_gateway_request(
self.client, 'GetGebouwByIdentificatorGebouw', id
)
if res == None:
raise GatewayResourceNotFoundException()
return Gebouw(
res.IdentificatorGebouw,
res.AardGebouw,
res.StatusGebouw,
res.GeometriemethodeGebouw,
res.Geometrie,
Metadata(
res.BeginDatum,
res.BeginTijd,
self.get_bewerking(res.BeginBewerking),
self.get_organisatie(res.BeginOrganisatie)
)
)
if self.caches['short'].is_configured:
key = 'GetGebouwByIdentificatorGebouw#%s' % (id)
gebouw = self.caches['short'].get_or_create(key, creator)
else:
gebouw = creator()
gebouw.set_gateway(self)
return gebouw | Retrieve a `Gebouw` by the Id.
:param integer id: the Id of the `Gebouw`
:rtype: :class:`Gebouw` | Below is the the instruction that describes the task:
### Input:
Retrieve a `Gebouw` by the Id.
:param integer id: the Id of the `Gebouw`
:rtype: :class:`Gebouw`
### Response:
def get_gebouw_by_id(self, id):
'''
Retrieve a `Gebouw` by the Id.
:param integer id: the Id of the `Gebouw`
:rtype: :class:`Gebouw`
'''
def creator():
res = crab_gateway_request(
self.client, 'GetGebouwByIdentificatorGebouw', id
)
if res == None:
raise GatewayResourceNotFoundException()
return Gebouw(
res.IdentificatorGebouw,
res.AardGebouw,
res.StatusGebouw,
res.GeometriemethodeGebouw,
res.Geometrie,
Metadata(
res.BeginDatum,
res.BeginTijd,
self.get_bewerking(res.BeginBewerking),
self.get_organisatie(res.BeginOrganisatie)
)
)
if self.caches['short'].is_configured:
key = 'GetGebouwByIdentificatorGebouw#%s' % (id)
gebouw = self.caches['short'].get_or_create(key, creator)
else:
gebouw = creator()
gebouw.set_gateway(self)
return gebouw |
def _update_limits_from_api(self):
"""
Call the service's API action to retrieve limit/quota information, and
update AwsLimit objects in ``self.limits`` with this information.
"""
logger.debug('Setting CloudFormation limits from API')
self.connect()
resp = self.conn.describe_account_limits()
for lim in resp['AccountLimits']:
if lim['Name'] == 'StackLimit':
self.limits['Stacks']._set_api_limit(lim['Value'])
continue
logger.debug('API response contained unknown CloudFormation '
'limit: %s', lim['Name']) | Call the service's API action to retrieve limit/quota information, and
update AwsLimit objects in ``self.limits`` with this information. | Below is the the instruction that describes the task:
### Input:
Call the service's API action to retrieve limit/quota information, and
update AwsLimit objects in ``self.limits`` with this information.
### Response:
def _update_limits_from_api(self):
"""
Call the service's API action to retrieve limit/quota information, and
update AwsLimit objects in ``self.limits`` with this information.
"""
logger.debug('Setting CloudFormation limits from API')
self.connect()
resp = self.conn.describe_account_limits()
for lim in resp['AccountLimits']:
if lim['Name'] == 'StackLimit':
self.limits['Stacks']._set_api_limit(lim['Value'])
continue
logger.debug('API response contained unknown CloudFormation '
'limit: %s', lim['Name']) |
async def load(cls, db, identifier=None, redis_key=None):
"""Load the object from redis. Use the identifier (colon-separated
composite keys or the primary key) or the redis_key.
"""
if not identifier and not redis_key:
raise InvalidQuery('Must supply identifier or redis_key')
if redis_key is None:
redis_key = cls.make_key(identifier)
if await db.exists(redis_key):
data = await db.hgetall(redis_key)
kwargs = {}
for key_bin, value_bin in data.items():
key, value = key_bin, value_bin
column = getattr(cls, key, False)
if not column or (column.field_type == str):
kwargs[key] = value
elif column.field_type == datetime:
kwargs[key] = datetime.strptime(value, DATETIME_FORMAT)
else:
kwargs[key] = column.field_type(value)
kwargs['loading'] = True
return cls(**kwargs)
else:
logger.debug("No Redis key found: {}".format(redis_key))
return None | Load the object from redis. Use the identifier (colon-separated
composite keys or the primary key) or the redis_key. | Below is the the instruction that describes the task:
### Input:
Load the object from redis. Use the identifier (colon-separated
composite keys or the primary key) or the redis_key.
### Response:
async def load(cls, db, identifier=None, redis_key=None):
"""Load the object from redis. Use the identifier (colon-separated
composite keys or the primary key) or the redis_key.
"""
if not identifier and not redis_key:
raise InvalidQuery('Must supply identifier or redis_key')
if redis_key is None:
redis_key = cls.make_key(identifier)
if await db.exists(redis_key):
data = await db.hgetall(redis_key)
kwargs = {}
for key_bin, value_bin in data.items():
key, value = key_bin, value_bin
column = getattr(cls, key, False)
if not column or (column.field_type == str):
kwargs[key] = value
elif column.field_type == datetime:
kwargs[key] = datetime.strptime(value, DATETIME_FORMAT)
else:
kwargs[key] = column.field_type(value)
kwargs['loading'] = True
return cls(**kwargs)
else:
logger.debug("No Redis key found: {}".format(redis_key))
return None |
def from_lal_unit(lunit):
"""Convert a LALUnit` into a `~astropy.units.Unit`
Parameters
----------
lunit : `lal.Unit`
the input unit
Returns
-------
unit : `~astropy.units.Unit`
the Astropy representation of the input
Raises
------
TypeError
if ``lunit`` cannot be converted to `lal.Unit`
ValueError
if Astropy doesn't understand the base units for the input
"""
return reduce(operator.mul, (
units.Unit(str(LAL_UNIT_INDEX[i])) ** exp for
i, exp in enumerate(lunit.unitNumerator))) | Convert a LALUnit` into a `~astropy.units.Unit`
Parameters
----------
lunit : `lal.Unit`
the input unit
Returns
-------
unit : `~astropy.units.Unit`
the Astropy representation of the input
Raises
------
TypeError
if ``lunit`` cannot be converted to `lal.Unit`
ValueError
if Astropy doesn't understand the base units for the input | Below is the the instruction that describes the task:
### Input:
Convert a LALUnit` into a `~astropy.units.Unit`
Parameters
----------
lunit : `lal.Unit`
the input unit
Returns
-------
unit : `~astropy.units.Unit`
the Astropy representation of the input
Raises
------
TypeError
if ``lunit`` cannot be converted to `lal.Unit`
ValueError
if Astropy doesn't understand the base units for the input
### Response:
def from_lal_unit(lunit):
"""Convert a LALUnit` into a `~astropy.units.Unit`
Parameters
----------
lunit : `lal.Unit`
the input unit
Returns
-------
unit : `~astropy.units.Unit`
the Astropy representation of the input
Raises
------
TypeError
if ``lunit`` cannot be converted to `lal.Unit`
ValueError
if Astropy doesn't understand the base units for the input
"""
return reduce(operator.mul, (
units.Unit(str(LAL_UNIT_INDEX[i])) ** exp for
i, exp in enumerate(lunit.unitNumerator))) |
def encode_binary_dict(array, buffers):
''' Send a numpy array as an unencoded binary buffer
The encoded format is a dict with the following structure:
.. code:: python
{
'__buffer__' : << an ID to locate the buffer >>,
'shape' : << array shape >>,
'dtype' : << dtype name >>,
'order' : << byte order at origin (little or big)>>
}
Args:
array (np.ndarray) : an array to encode
buffers (set) :
Set to add buffers to
**This is an "out" parameter**. The values it contains will be
modified in-place.
Returns:
dict
'''
buffer_id = make_id()
buf = (dict(id=buffer_id), array.tobytes())
buffers.append(buf)
return {
'__buffer__' : buffer_id,
'shape' : array.shape,
'dtype' : array.dtype.name,
'order' : sys.byteorder
} | Send a numpy array as an unencoded binary buffer
The encoded format is a dict with the following structure:
.. code:: python
{
'__buffer__' : << an ID to locate the buffer >>,
'shape' : << array shape >>,
'dtype' : << dtype name >>,
'order' : << byte order at origin (little or big)>>
}
Args:
array (np.ndarray) : an array to encode
buffers (set) :
Set to add buffers to
**This is an "out" parameter**. The values it contains will be
modified in-place.
Returns:
dict | Below is the the instruction that describes the task:
### Input:
Send a numpy array as an unencoded binary buffer
The encoded format is a dict with the following structure:
.. code:: python
{
'__buffer__' : << an ID to locate the buffer >>,
'shape' : << array shape >>,
'dtype' : << dtype name >>,
'order' : << byte order at origin (little or big)>>
}
Args:
array (np.ndarray) : an array to encode
buffers (set) :
Set to add buffers to
**This is an "out" parameter**. The values it contains will be
modified in-place.
Returns:
dict
### Response:
def encode_binary_dict(array, buffers):
''' Send a numpy array as an unencoded binary buffer
The encoded format is a dict with the following structure:
.. code:: python
{
'__buffer__' : << an ID to locate the buffer >>,
'shape' : << array shape >>,
'dtype' : << dtype name >>,
'order' : << byte order at origin (little or big)>>
}
Args:
array (np.ndarray) : an array to encode
buffers (set) :
Set to add buffers to
**This is an "out" parameter**. The values it contains will be
modified in-place.
Returns:
dict
'''
buffer_id = make_id()
buf = (dict(id=buffer_id), array.tobytes())
buffers.append(buf)
return {
'__buffer__' : buffer_id,
'shape' : array.shape,
'dtype' : array.dtype.name,
'order' : sys.byteorder
} |
def get_assignments(self, site):
"""
Gets a list of assignments associated with a site (class). Returns
a list of TSquareAssignment objects.
@param site (TSquareSite) - The site to use with the assignment query
@returns - A list of TSquareSite objects. May be an empty list if
the site has defined no assignments.
"""
tools = self.get_tools(site)
assignment_tool_filter = [x.href for x in tools if x.name == 'assignment-grades']
if not assignment_tool_filter:
return []
assignment_tool_url = assignment_tool_filter[0].href
response = self._session.get(assignment_tool_url)
response.raise_for_status()
iframes = self._html_iface.get_iframes(response.text)
iframe_url = ''
for frame in iframes:
if frame['title'] == 'Assignments ':
iframe_url = frame['src']
if iframe_url == '':
print "WARNING: NO ASSIGNMENT IFRAMES FOUND"
response = self._session.get(iframe_url)
response.raise_for_status()
assignment_dict_list = self._html_iface.get_assignments(response.text)
return [TSquareAssignment(**x) for x in assignment_dict_list] | Gets a list of assignments associated with a site (class). Returns
a list of TSquareAssignment objects.
@param site (TSquareSite) - The site to use with the assignment query
@returns - A list of TSquareSite objects. May be an empty list if
the site has defined no assignments. | Below is the the instruction that describes the task:
### Input:
Gets a list of assignments associated with a site (class). Returns
a list of TSquareAssignment objects.
@param site (TSquareSite) - The site to use with the assignment query
@returns - A list of TSquareSite objects. May be an empty list if
the site has defined no assignments.
### Response:
def get_assignments(self, site):
"""
Gets a list of assignments associated with a site (class). Returns
a list of TSquareAssignment objects.
@param site (TSquareSite) - The site to use with the assignment query
@returns - A list of TSquareSite objects. May be an empty list if
the site has defined no assignments.
"""
tools = self.get_tools(site)
assignment_tool_filter = [x.href for x in tools if x.name == 'assignment-grades']
if not assignment_tool_filter:
return []
assignment_tool_url = assignment_tool_filter[0].href
response = self._session.get(assignment_tool_url)
response.raise_for_status()
iframes = self._html_iface.get_iframes(response.text)
iframe_url = ''
for frame in iframes:
if frame['title'] == 'Assignments ':
iframe_url = frame['src']
if iframe_url == '':
print "WARNING: NO ASSIGNMENT IFRAMES FOUND"
response = self._session.get(iframe_url)
response.raise_for_status()
assignment_dict_list = self._html_iface.get_assignments(response.text)
return [TSquareAssignment(**x) for x in assignment_dict_list] |
def get_name_dictionary_extractor(name_trie):
"""Method for creating default name dictionary extractor"""
return DictionaryExtractor()\
.set_trie(name_trie)\
.set_pre_filter(VALID_TOKEN_RE.match)\
.set_pre_process(lambda x: x.lower())\
.set_metadata({'extractor': 'dig_name_dictionary_extractor'}) | Method for creating default name dictionary extractor | Below is the the instruction that describes the task:
### Input:
Method for creating default name dictionary extractor
### Response:
def get_name_dictionary_extractor(name_trie):
"""Method for creating default name dictionary extractor"""
return DictionaryExtractor()\
.set_trie(name_trie)\
.set_pre_filter(VALID_TOKEN_RE.match)\
.set_pre_process(lambda x: x.lower())\
.set_metadata({'extractor': 'dig_name_dictionary_extractor'}) |
def get_tunnel_statistics_output_tunnel_stat_rx_bytes(self, **kwargs):
"""Auto Generated Code
"""
config = ET.Element("config")
get_tunnel_statistics = ET.Element("get_tunnel_statistics")
config = get_tunnel_statistics
output = ET.SubElement(get_tunnel_statistics, "output")
tunnel_stat = ET.SubElement(output, "tunnel-stat")
rx_bytes = ET.SubElement(tunnel_stat, "rx-bytes")
rx_bytes.text = kwargs.pop('rx_bytes')
callback = kwargs.pop('callback', self._callback)
return callback(config) | Auto Generated Code | Below is the the instruction that describes the task:
### Input:
Auto Generated Code
### Response:
def get_tunnel_statistics_output_tunnel_stat_rx_bytes(self, **kwargs):
"""Auto Generated Code
"""
config = ET.Element("config")
get_tunnel_statistics = ET.Element("get_tunnel_statistics")
config = get_tunnel_statistics
output = ET.SubElement(get_tunnel_statistics, "output")
tunnel_stat = ET.SubElement(output, "tunnel-stat")
rx_bytes = ET.SubElement(tunnel_stat, "rx-bytes")
rx_bytes.text = kwargs.pop('rx_bytes')
callback = kwargs.pop('callback', self._callback)
return callback(config) |
def to_record(cls, attr_names, values):
"""
Convert values to a record to be inserted into a database.
:param list attr_names:
List of attributes for the converting record.
:param values: Values to be converted.
:type values: |dict|/|namedtuple|/|list|/|tuple|
:raises ValueError: If the ``values`` is invalid.
"""
try:
# from a namedtuple to a dict
values = values._asdict()
except AttributeError:
pass
try:
# from a dictionary to a list
return [cls.__to_sqlite_element(values.get(attr_name)) for attr_name in attr_names]
except AttributeError:
pass
if isinstance(values, (tuple, list)):
return [cls.__to_sqlite_element(value) for value in values]
raise ValueError("cannot convert from {} to list".format(type(values))) | Convert values to a record to be inserted into a database.
:param list attr_names:
List of attributes for the converting record.
:param values: Values to be converted.
:type values: |dict|/|namedtuple|/|list|/|tuple|
:raises ValueError: If the ``values`` is invalid. | Below is the the instruction that describes the task:
### Input:
Convert values to a record to be inserted into a database.
:param list attr_names:
List of attributes for the converting record.
:param values: Values to be converted.
:type values: |dict|/|namedtuple|/|list|/|tuple|
:raises ValueError: If the ``values`` is invalid.
### Response:
def to_record(cls, attr_names, values):
"""
Convert values to a record to be inserted into a database.
:param list attr_names:
List of attributes for the converting record.
:param values: Values to be converted.
:type values: |dict|/|namedtuple|/|list|/|tuple|
:raises ValueError: If the ``values`` is invalid.
"""
try:
# from a namedtuple to a dict
values = values._asdict()
except AttributeError:
pass
try:
# from a dictionary to a list
return [cls.__to_sqlite_element(values.get(attr_name)) for attr_name in attr_names]
except AttributeError:
pass
if isinstance(values, (tuple, list)):
return [cls.__to_sqlite_element(value) for value in values]
raise ValueError("cannot convert from {} to list".format(type(values))) |
def _get_pdm(cls, df, windows):
""" +DM, positive directional moving
If window is not 1, calculate the SMMA of +DM
:param df: data
:param windows: range
:return:
"""
window = cls.get_only_one_positive_int(windows)
column_name = 'pdm_{}'.format(window)
um, dm = df['um'], df['dm']
df['pdm'] = np.where(um > dm, um, 0)
if window > 1:
pdm = df['pdm_{}_ema'.format(window)]
else:
pdm = df['pdm']
df[column_name] = pdm | +DM, positive directional moving
If window is not 1, calculate the SMMA of +DM
:param df: data
:param windows: range
:return: | Below is the the instruction that describes the task:
### Input:
+DM, positive directional moving
If window is not 1, calculate the SMMA of +DM
:param df: data
:param windows: range
:return:
### Response:
def _get_pdm(cls, df, windows):
""" +DM, positive directional moving
If window is not 1, calculate the SMMA of +DM
:param df: data
:param windows: range
:return:
"""
window = cls.get_only_one_positive_int(windows)
column_name = 'pdm_{}'.format(window)
um, dm = df['um'], df['dm']
df['pdm'] = np.where(um > dm, um, 0)
if window > 1:
pdm = df['pdm_{}_ema'.format(window)]
else:
pdm = df['pdm']
df[column_name] = pdm |
def do_termchar(self, args):
"""Get or set termination character for resource in use.
<termchar> can be one of: CR, LF, CRLF, NUL or None.
None is used to disable termination character
Get termination character:
termchar
Set termination character read or read+write:
termchar <termchar> [<termchar>]
"""
if not self.current:
print('There are no resources in use. Use the command "open".')
return
args = args.strip()
if not args:
try:
charmap = { u'\r': 'CR', u'\n': 'LF', u'\r\n': 'CRLF', u'\0': 'NUL' }
chr = self.current.read_termination
if chr in charmap:
chr = charmap[chr]
chw = self.current.write_termination
if chw in charmap:
chw = charmap[chw]
print('Termchar read: {} write: {}'.format(chr, chw))
except Exception as e:
print(e)
else:
args = args.split(' ')
charmap = { 'CR': u'\r', 'LF': u'\n', 'CRLF': u'\r\n', 'NUL': u'\0', 'None': None }
chr = args[0]
chw = args[0 if len(args) == 1 else 1]
if chr in charmap and chw in charmap:
try:
self.current.read_termination = charmap[chr]
self.current.write_termination = charmap[chw]
print('Done')
except Exception as e:
print(e)
else:
print('use CR, LF, CRLF, NUL or None to set termchar')
return | Get or set termination character for resource in use.
<termchar> can be one of: CR, LF, CRLF, NUL or None.
None is used to disable termination character
Get termination character:
termchar
Set termination character read or read+write:
termchar <termchar> [<termchar>] | Below is the the instruction that describes the task:
### Input:
Get or set termination character for resource in use.
<termchar> can be one of: CR, LF, CRLF, NUL or None.
None is used to disable termination character
Get termination character:
termchar
Set termination character read or read+write:
termchar <termchar> [<termchar>]
### Response:
def do_termchar(self, args):
"""Get or set termination character for resource in use.
<termchar> can be one of: CR, LF, CRLF, NUL or None.
None is used to disable termination character
Get termination character:
termchar
Set termination character read or read+write:
termchar <termchar> [<termchar>]
"""
if not self.current:
print('There are no resources in use. Use the command "open".')
return
args = args.strip()
if not args:
try:
charmap = { u'\r': 'CR', u'\n': 'LF', u'\r\n': 'CRLF', u'\0': 'NUL' }
chr = self.current.read_termination
if chr in charmap:
chr = charmap[chr]
chw = self.current.write_termination
if chw in charmap:
chw = charmap[chw]
print('Termchar read: {} write: {}'.format(chr, chw))
except Exception as e:
print(e)
else:
args = args.split(' ')
charmap = { 'CR': u'\r', 'LF': u'\n', 'CRLF': u'\r\n', 'NUL': u'\0', 'None': None }
chr = args[0]
chw = args[0 if len(args) == 1 else 1]
if chr in charmap and chw in charmap:
try:
self.current.read_termination = charmap[chr]
self.current.write_termination = charmap[chw]
print('Done')
except Exception as e:
print(e)
else:
print('use CR, LF, CRLF, NUL or None to set termchar')
return |
def draw_image(self, ax, image):
"""Process a matplotlib image object and call renderer.draw_image"""
self.renderer.draw_image(imdata=utils.image_to_base64(image),
extent=image.get_extent(),
coordinates="data",
style={"alpha": image.get_alpha(),
"zorder": image.get_zorder()},
mplobj=image) | Process a matplotlib image object and call renderer.draw_image | Below is the the instruction that describes the task:
### Input:
Process a matplotlib image object and call renderer.draw_image
### Response:
def draw_image(self, ax, image):
"""Process a matplotlib image object and call renderer.draw_image"""
self.renderer.draw_image(imdata=utils.image_to_base64(image),
extent=image.get_extent(),
coordinates="data",
style={"alpha": image.get_alpha(),
"zorder": image.get_zorder()},
mplobj=image) |
def add_index(self, field, value):
"""
add_index(field, value)
Tag this object with the specified field/value pair for
indexing.
:param field: The index field.
:type field: string
:param value: The index value.
:type value: string or integer
:rtype: :class:`RiakObject <riak.riak_object.RiakObject>`
"""
if field[-4:] not in ("_bin", "_int"):
raise RiakError("Riak 2i fields must end with either '_bin'"
" or '_int'.")
self.indexes.add((field, value))
return self._robject | add_index(field, value)
Tag this object with the specified field/value pair for
indexing.
:param field: The index field.
:type field: string
:param value: The index value.
:type value: string or integer
:rtype: :class:`RiakObject <riak.riak_object.RiakObject>` | Below is the the instruction that describes the task:
### Input:
add_index(field, value)
Tag this object with the specified field/value pair for
indexing.
:param field: The index field.
:type field: string
:param value: The index value.
:type value: string or integer
:rtype: :class:`RiakObject <riak.riak_object.RiakObject>`
### Response:
def add_index(self, field, value):
"""
add_index(field, value)
Tag this object with the specified field/value pair for
indexing.
:param field: The index field.
:type field: string
:param value: The index value.
:type value: string or integer
:rtype: :class:`RiakObject <riak.riak_object.RiakObject>`
"""
if field[-4:] not in ("_bin", "_int"):
raise RiakError("Riak 2i fields must end with either '_bin'"
" or '_int'.")
self.indexes.add((field, value))
return self._robject |
def tree_walk(cls, directory, tree):
"""Walks a tree returned by `cls.list_to_tree` returning a list of
3-tuples as if from os.walk()."""
results = []
dirs = [d for d in tree if d != FILE_MARKER]
files = tree[FILE_MARKER]
results.append((directory, dirs, files))
for d in dirs:
subdir = os.path.join(directory, d)
subtree = tree[d]
results.extend(cls.tree_walk(subdir, subtree))
return results | Walks a tree returned by `cls.list_to_tree` returning a list of
3-tuples as if from os.walk(). | Below is the the instruction that describes the task:
### Input:
Walks a tree returned by `cls.list_to_tree` returning a list of
3-tuples as if from os.walk().
### Response:
def tree_walk(cls, directory, tree):
"""Walks a tree returned by `cls.list_to_tree` returning a list of
3-tuples as if from os.walk()."""
results = []
dirs = [d for d in tree if d != FILE_MARKER]
files = tree[FILE_MARKER]
results.append((directory, dirs, files))
for d in dirs:
subdir = os.path.join(directory, d)
subtree = tree[d]
results.extend(cls.tree_walk(subdir, subtree))
return results |
def xcorr(x, y=None, maxlags=None, norm='biased'):
"""Cross-correlation using numpy.correlate
Estimates the cross-correlation (and autocorrelation) sequence of a random
process of length N. By default, there is no normalisation and the output
sequence of the cross-correlation has a length 2*N+1.
:param array x: first data array of length N
:param array y: second data array of length N. If not specified, computes the
autocorrelation.
:param int maxlags: compute cross correlation between [-maxlags:maxlags]
when maxlags is not specified, the range of lags is [-N+1:N-1].
:param str option: normalisation in ['biased', 'unbiased', None, 'coeff']
The true cross-correlation sequence is
.. math:: r_{xy}[m] = E(x[n+m].y^*[n]) = E(x[n].y^*[n-m])
However, in practice, only a finite segment of one realization of the
infinite-length random process is available.
The correlation is estimated using numpy.correlate(x,y,'full').
Normalisation is handled by this function using the following cases:
* 'biased': Biased estimate of the cross-correlation function
* 'unbiased': Unbiased estimate of the cross-correlation function
* 'coeff': Normalizes the sequence so the autocorrelations at zero
lag is 1.0.
:return:
* a numpy.array containing the cross-correlation sequence (length 2*N-1)
* lags vector
.. note:: If x and y are not the same length, the shorter vector is
zero-padded to the length of the longer vector.
.. rubric:: Examples
.. doctest::
>>> from spectrum import xcorr
>>> x = [1,2,3,4,5]
>>> c, l = xcorr(x,x, maxlags=0, norm='biased')
>>> c
array([ 11.])
.. seealso:: :func:`CORRELATION`.
"""
N = len(x)
if y is None:
y = x
assert len(x) == len(y), 'x and y must have the same length. Add zeros if needed'
if maxlags is None:
maxlags = N-1
lags = np.arange(0, 2*N-1)
else:
assert maxlags <= N, 'maxlags must be less than data length'
lags = np.arange(N-maxlags-1, N+maxlags)
res = np.correlate(x, y, mode='full')
if norm == 'biased':
Nf = float(N)
res = res[lags] / float(N) # do not use /= !!
elif norm == 'unbiased':
res = res[lags] / (float(N)-abs(np.arange(-N+1, N)))[lags]
elif norm == 'coeff':
Nf = float(N)
rms = pylab_rms_flat(x) * pylab_rms_flat(y)
res = res[lags] / rms / Nf
else:
res = res[lags]
lags = np.arange(-maxlags, maxlags+1)
return res, lags | Cross-correlation using numpy.correlate
Estimates the cross-correlation (and autocorrelation) sequence of a random
process of length N. By default, there is no normalisation and the output
sequence of the cross-correlation has a length 2*N+1.
:param array x: first data array of length N
:param array y: second data array of length N. If not specified, computes the
autocorrelation.
:param int maxlags: compute cross correlation between [-maxlags:maxlags]
when maxlags is not specified, the range of lags is [-N+1:N-1].
:param str option: normalisation in ['biased', 'unbiased', None, 'coeff']
The true cross-correlation sequence is
.. math:: r_{xy}[m] = E(x[n+m].y^*[n]) = E(x[n].y^*[n-m])
However, in practice, only a finite segment of one realization of the
infinite-length random process is available.
The correlation is estimated using numpy.correlate(x,y,'full').
Normalisation is handled by this function using the following cases:
* 'biased': Biased estimate of the cross-correlation function
* 'unbiased': Unbiased estimate of the cross-correlation function
* 'coeff': Normalizes the sequence so the autocorrelations at zero
lag is 1.0.
:return:
* a numpy.array containing the cross-correlation sequence (length 2*N-1)
* lags vector
.. note:: If x and y are not the same length, the shorter vector is
zero-padded to the length of the longer vector.
.. rubric:: Examples
.. doctest::
>>> from spectrum import xcorr
>>> x = [1,2,3,4,5]
>>> c, l = xcorr(x,x, maxlags=0, norm='biased')
>>> c
array([ 11.])
.. seealso:: :func:`CORRELATION`. | Below is the the instruction that describes the task:
### Input:
Cross-correlation using numpy.correlate
Estimates the cross-correlation (and autocorrelation) sequence of a random
process of length N. By default, there is no normalisation and the output
sequence of the cross-correlation has a length 2*N+1.
:param array x: first data array of length N
:param array y: second data array of length N. If not specified, computes the
autocorrelation.
:param int maxlags: compute cross correlation between [-maxlags:maxlags]
when maxlags is not specified, the range of lags is [-N+1:N-1].
:param str option: normalisation in ['biased', 'unbiased', None, 'coeff']
The true cross-correlation sequence is
.. math:: r_{xy}[m] = E(x[n+m].y^*[n]) = E(x[n].y^*[n-m])
However, in practice, only a finite segment of one realization of the
infinite-length random process is available.
The correlation is estimated using numpy.correlate(x,y,'full').
Normalisation is handled by this function using the following cases:
* 'biased': Biased estimate of the cross-correlation function
* 'unbiased': Unbiased estimate of the cross-correlation function
* 'coeff': Normalizes the sequence so the autocorrelations at zero
lag is 1.0.
:return:
* a numpy.array containing the cross-correlation sequence (length 2*N-1)
* lags vector
.. note:: If x and y are not the same length, the shorter vector is
zero-padded to the length of the longer vector.
.. rubric:: Examples
.. doctest::
>>> from spectrum import xcorr
>>> x = [1,2,3,4,5]
>>> c, l = xcorr(x,x, maxlags=0, norm='biased')
>>> c
array([ 11.])
.. seealso:: :func:`CORRELATION`.
### Response:
def xcorr(x, y=None, maxlags=None, norm='biased'):
"""Cross-correlation using numpy.correlate
Estimates the cross-correlation (and autocorrelation) sequence of a random
process of length N. By default, there is no normalisation and the output
sequence of the cross-correlation has a length 2*N+1.
:param array x: first data array of length N
:param array y: second data array of length N. If not specified, computes the
autocorrelation.
:param int maxlags: compute cross correlation between [-maxlags:maxlags]
when maxlags is not specified, the range of lags is [-N+1:N-1].
:param str option: normalisation in ['biased', 'unbiased', None, 'coeff']
The true cross-correlation sequence is
.. math:: r_{xy}[m] = E(x[n+m].y^*[n]) = E(x[n].y^*[n-m])
However, in practice, only a finite segment of one realization of the
infinite-length random process is available.
The correlation is estimated using numpy.correlate(x,y,'full').
Normalisation is handled by this function using the following cases:
* 'biased': Biased estimate of the cross-correlation function
* 'unbiased': Unbiased estimate of the cross-correlation function
* 'coeff': Normalizes the sequence so the autocorrelations at zero
lag is 1.0.
:return:
* a numpy.array containing the cross-correlation sequence (length 2*N-1)
* lags vector
.. note:: If x and y are not the same length, the shorter vector is
zero-padded to the length of the longer vector.
.. rubric:: Examples
.. doctest::
>>> from spectrum import xcorr
>>> x = [1,2,3,4,5]
>>> c, l = xcorr(x,x, maxlags=0, norm='biased')
>>> c
array([ 11.])
.. seealso:: :func:`CORRELATION`.
"""
N = len(x)
if y is None:
y = x
assert len(x) == len(y), 'x and y must have the same length. Add zeros if needed'
if maxlags is None:
maxlags = N-1
lags = np.arange(0, 2*N-1)
else:
assert maxlags <= N, 'maxlags must be less than data length'
lags = np.arange(N-maxlags-1, N+maxlags)
res = np.correlate(x, y, mode='full')
if norm == 'biased':
Nf = float(N)
res = res[lags] / float(N) # do not use /= !!
elif norm == 'unbiased':
res = res[lags] / (float(N)-abs(np.arange(-N+1, N)))[lags]
elif norm == 'coeff':
Nf = float(N)
rms = pylab_rms_flat(x) * pylab_rms_flat(y)
res = res[lags] / rms / Nf
else:
res = res[lags]
lags = np.arange(-maxlags, maxlags+1)
return res, lags |
def state(self):
"""Which state the session is in.
Starting - all messages needed to get stream started.
Playing - keep-alive messages every self.session_timeout.
"""
if self.method in ['OPTIONS', 'DESCRIBE', 'SETUP', 'PLAY']:
state = STATE_STARTING
elif self.method in ['KEEP-ALIVE']:
state = STATE_PLAYING
else:
state = STATE_STOPPED
_LOGGER.debug('RTSP session (%s) state %s', self.host, state)
return state | Which state the session is in.
Starting - all messages needed to get stream started.
Playing - keep-alive messages every self.session_timeout. | Below is the the instruction that describes the task:
### Input:
Which state the session is in.
Starting - all messages needed to get stream started.
Playing - keep-alive messages every self.session_timeout.
### Response:
def state(self):
"""Which state the session is in.
Starting - all messages needed to get stream started.
Playing - keep-alive messages every self.session_timeout.
"""
if self.method in ['OPTIONS', 'DESCRIBE', 'SETUP', 'PLAY']:
state = STATE_STARTING
elif self.method in ['KEEP-ALIVE']:
state = STATE_PLAYING
else:
state = STATE_STOPPED
_LOGGER.debug('RTSP session (%s) state %s', self.host, state)
return state |
def provider_parser(subparser):
"""Configure a provider parser for Hetzner"""
subparser.add_argument('--auth-account',
help='specify type of Hetzner account: by default Hetzner Robot '
'(robot) or Hetzner konsoleH (konsoleh)')
subparser.add_argument('--auth-username', help='specify username of Hetzner account')
subparser.add_argument('--auth-password', help='specify password of Hetzner account')
subparser.add_argument('--linked',
help='if exists, uses linked CNAME as A|AAAA|TXT record name for edit '
'actions: by default (yes); Further restriction: Only enabled if '
'record name or raw FQDN record identifier \'type/name/content\' is '
'specified, and additionally for update actions the record name '
'remains the same',
default=str('yes'),
choices=['yes', 'no'])
subparser.add_argument('--propagated',
help='waits until record is publicly propagated after succeeded '
'create|update actions: by default (yes)',
default=str('yes'),
choices=['yes', 'no'])
subparser.add_argument('--latency',
help='specify latency, used during checks for publicly propagation '
'and additionally for Hetzner Robot after record edits: by default '
'30s (30)',
default=int(30),
type=int) | Configure a provider parser for Hetzner | Below is the the instruction that describes the task:
### Input:
Configure a provider parser for Hetzner
### Response:
def provider_parser(subparser):
"""Configure a provider parser for Hetzner"""
subparser.add_argument('--auth-account',
help='specify type of Hetzner account: by default Hetzner Robot '
'(robot) or Hetzner konsoleH (konsoleh)')
subparser.add_argument('--auth-username', help='specify username of Hetzner account')
subparser.add_argument('--auth-password', help='specify password of Hetzner account')
subparser.add_argument('--linked',
help='if exists, uses linked CNAME as A|AAAA|TXT record name for edit '
'actions: by default (yes); Further restriction: Only enabled if '
'record name or raw FQDN record identifier \'type/name/content\' is '
'specified, and additionally for update actions the record name '
'remains the same',
default=str('yes'),
choices=['yes', 'no'])
subparser.add_argument('--propagated',
help='waits until record is publicly propagated after succeeded '
'create|update actions: by default (yes)',
default=str('yes'),
choices=['yes', 'no'])
subparser.add_argument('--latency',
help='specify latency, used during checks for publicly propagation '
'and additionally for Hetzner Robot after record edits: by default '
'30s (30)',
default=int(30),
type=int) |
def get_content(self):
"""Open content as a stream for reading.
See DAVResource.get_content()
"""
filestream = compat.StringIO()
tableName, primKey = self.provider._split_path(self.path)
if primKey is not None:
conn = self.provider._init_connection()
listFields = self.provider._get_field_list(conn, tableName)
csvwriter = csv.DictWriter(filestream, listFields, extrasaction="ignore")
dictFields = {}
for field_name in listFields:
dictFields[field_name] = field_name
csvwriter.writerow(dictFields)
if primKey == "_ENTIRE_CONTENTS":
cursor = conn.cursor(MySQLdb.cursors.DictCursor)
cursor.execute("SELECT * from " + self.provider._db + "." + tableName)
result_set = cursor.fetchall()
for row in result_set:
csvwriter.writerow(row)
cursor.close()
else:
row = self.provider._get_record_by_primary_key(conn, tableName, primKey)
if row is not None:
csvwriter.writerow(row)
conn.close()
# this suffices for small dbs, but
# for a production big database, I imagine you would have a FileMixin that
# does the retrieving and population even as the file object is being read
filestream.seek(0)
return filestream | Open content as a stream for reading.
See DAVResource.get_content() | Below is the the instruction that describes the task:
### Input:
Open content as a stream for reading.
See DAVResource.get_content()
### Response:
def get_content(self):
"""Open content as a stream for reading.
See DAVResource.get_content()
"""
filestream = compat.StringIO()
tableName, primKey = self.provider._split_path(self.path)
if primKey is not None:
conn = self.provider._init_connection()
listFields = self.provider._get_field_list(conn, tableName)
csvwriter = csv.DictWriter(filestream, listFields, extrasaction="ignore")
dictFields = {}
for field_name in listFields:
dictFields[field_name] = field_name
csvwriter.writerow(dictFields)
if primKey == "_ENTIRE_CONTENTS":
cursor = conn.cursor(MySQLdb.cursors.DictCursor)
cursor.execute("SELECT * from " + self.provider._db + "." + tableName)
result_set = cursor.fetchall()
for row in result_set:
csvwriter.writerow(row)
cursor.close()
else:
row = self.provider._get_record_by_primary_key(conn, tableName, primKey)
if row is not None:
csvwriter.writerow(row)
conn.close()
# this suffices for small dbs, but
# for a production big database, I imagine you would have a FileMixin that
# does the retrieving and population even as the file object is being read
filestream.seek(0)
return filestream |
def ec2_network_network_acl_id(self, lookup, default=None):
"""
Args:
lookup: the friendly name of the network ACL we are looking up
default: the optional value to return if lookup failed; returns None if not set
Returns:
the ID of the network ACL, or None if no match found
"""
network_acl_id = EFAwsResolver.__CLIENTS["ec2"].describe_network_acls(Filters=[{
'Name': 'tag:Name',
'Values': [lookup]
}])
if len(network_acl_id["NetworkAcls"]) > 0:
return network_acl_id["NetworkAcls"][0]["NetworkAclId"]
else:
return default | Args:
lookup: the friendly name of the network ACL we are looking up
default: the optional value to return if lookup failed; returns None if not set
Returns:
the ID of the network ACL, or None if no match found | Below is the the instruction that describes the task:
### Input:
Args:
lookup: the friendly name of the network ACL we are looking up
default: the optional value to return if lookup failed; returns None if not set
Returns:
the ID of the network ACL, or None if no match found
### Response:
def ec2_network_network_acl_id(self, lookup, default=None):
"""
Args:
lookup: the friendly name of the network ACL we are looking up
default: the optional value to return if lookup failed; returns None if not set
Returns:
the ID of the network ACL, or None if no match found
"""
network_acl_id = EFAwsResolver.__CLIENTS["ec2"].describe_network_acls(Filters=[{
'Name': 'tag:Name',
'Values': [lookup]
}])
if len(network_acl_id["NetworkAcls"]) > 0:
return network_acl_id["NetworkAcls"][0]["NetworkAclId"]
else:
return default |
def end(self):
"""Shutdown the curses window."""
if hasattr(curses, 'echo'):
curses.echo()
if hasattr(curses, 'nocbreak'):
curses.nocbreak()
if hasattr(curses, 'curs_set'):
try:
curses.curs_set(1)
except Exception:
pass
curses.endwin() | Shutdown the curses window. | Below is the the instruction that describes the task:
### Input:
Shutdown the curses window.
### Response:
def end(self):
"""Shutdown the curses window."""
if hasattr(curses, 'echo'):
curses.echo()
if hasattr(curses, 'nocbreak'):
curses.nocbreak()
if hasattr(curses, 'curs_set'):
try:
curses.curs_set(1)
except Exception:
pass
curses.endwin() |
def get_summary(list_all=[], **kwargs):
''' summarize the report data
@param list_all: a list which save the report data
@param kwargs: such as
show_all: True/False report show all status cases
proj_name: project name
home_page: home page url
'''
all_summary = []
for module in list_all:
summary = {
"module_name" : module['Name'],
"show_all" : kwargs.get("show_all",True),
"project_name" : kwargs.get("proj_name","TestProject"),
"home_page" : kwargs.get("home_page",__about__.HOME_PAGE),
"start_time" : "",
"end_time" : "",
"duration_seconds" : "",
"total_case_num" : len(module["TestCases"]),
"pass_cases_num" : 0,
"fail_cases_num" : 0,
"details" : []
}
for case in module["TestCases"]:
case_detail = {}
case_detail["linkurl"] = "./caselogs/%s_%s.log" %(case["case_name"],case["exec_date"])
if case["status"].lower() == "pass":
summary["pass_cases_num"] += 1
case_detail["c_style"] = "tr_pass"
else:
summary["fail_cases_num"] += 1
case_detail["c_style"] = "tr_fail"
case_detail.update(case)
summary["details"].append(case_detail)
try:
st = module["TestCases"][0].get("start_at")
et = module["TestCases"][-1].get("end_at")
summary["start_time"] = time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(st))
summary["end_time"] = time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(et))
summary["duration_seconds"] = float("%.2f" %(et - st))
except Exception as _:
logger.log_warning("Will set 'start_at' and 'end_at' to 'None'")
(summary["start_time"], summary["end_time"], summary["duration_seconds"]) = (None,None,None)
if summary["fail_cases_num"] > 0:
summary["dict_report"] = {"result":0,"message":"failure","pass":summary["pass_cases_num"],"fail":summary["fail_cases_num"]}
else:
summary["dict_report"] = {"result":1,"message":"success","pass":summary["pass_cases_num"],"fail":summary["fail_cases_num"]}
all_summary.append(summary)
return all_summary | summarize the report data
@param list_all: a list which save the report data
@param kwargs: such as
show_all: True/False report show all status cases
proj_name: project name
home_page: home page url | Below is the the instruction that describes the task:
### Input:
summarize the report data
@param list_all: a list which save the report data
@param kwargs: such as
show_all: True/False report show all status cases
proj_name: project name
home_page: home page url
### Response:
def get_summary(list_all=[], **kwargs):
''' summarize the report data
@param list_all: a list which save the report data
@param kwargs: such as
show_all: True/False report show all status cases
proj_name: project name
home_page: home page url
'''
all_summary = []
for module in list_all:
summary = {
"module_name" : module['Name'],
"show_all" : kwargs.get("show_all",True),
"project_name" : kwargs.get("proj_name","TestProject"),
"home_page" : kwargs.get("home_page",__about__.HOME_PAGE),
"start_time" : "",
"end_time" : "",
"duration_seconds" : "",
"total_case_num" : len(module["TestCases"]),
"pass_cases_num" : 0,
"fail_cases_num" : 0,
"details" : []
}
for case in module["TestCases"]:
case_detail = {}
case_detail["linkurl"] = "./caselogs/%s_%s.log" %(case["case_name"],case["exec_date"])
if case["status"].lower() == "pass":
summary["pass_cases_num"] += 1
case_detail["c_style"] = "tr_pass"
else:
summary["fail_cases_num"] += 1
case_detail["c_style"] = "tr_fail"
case_detail.update(case)
summary["details"].append(case_detail)
try:
st = module["TestCases"][0].get("start_at")
et = module["TestCases"][-1].get("end_at")
summary["start_time"] = time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(st))
summary["end_time"] = time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(et))
summary["duration_seconds"] = float("%.2f" %(et - st))
except Exception as _:
logger.log_warning("Will set 'start_at' and 'end_at' to 'None'")
(summary["start_time"], summary["end_time"], summary["duration_seconds"]) = (None,None,None)
if summary["fail_cases_num"] > 0:
summary["dict_report"] = {"result":0,"message":"failure","pass":summary["pass_cases_num"],"fail":summary["fail_cases_num"]}
else:
summary["dict_report"] = {"result":1,"message":"success","pass":summary["pass_cases_num"],"fail":summary["fail_cases_num"]}
all_summary.append(summary)
return all_summary |
def determine_type(filename):
'''Determine the file type and return it.'''
ftype = magic.from_file(filename, mime=True).decode('utf8')
if ftype == 'text/plain':
ftype = 'text'
elif ftype == 'image/svg+xml':
ftype = 'svg'
else:
ftype = ftype.split('/')[1]
return ftype | Determine the file type and return it. | Below is the the instruction that describes the task:
### Input:
Determine the file type and return it.
### Response:
def determine_type(filename):
'''Determine the file type and return it.'''
ftype = magic.from_file(filename, mime=True).decode('utf8')
if ftype == 'text/plain':
ftype = 'text'
elif ftype == 'image/svg+xml':
ftype = 'svg'
else:
ftype = ftype.split('/')[1]
return ftype |
def get_posts(self, include_draft=False, filter_functions=None):
"""
Get all posts from filesystem.
:param include_draft: return draft posts or not
:param filter_functions: filter to apply BEFORE result being sorted
:return: an iterable of Post objects (the first is the latest post)
"""
def posts_generator(path):
"""Loads valid posts one by one in the given path."""
if os.path.isdir(path):
for file in os.listdir(path):
filename, ext = os.path.splitext(file)
format_name = get_standard_format_name(ext[1:])
if format_name is not None and re.match(
r'\d{4}-\d{2}-\d{2}-.+', filename):
# the format is supported and the filename is valid,
# so load this post
post = Post()
post.format = format_name
post.meta, post.raw_content = FileStorage.read_file(
os.path.join(path, file))
post.rel_url = filename.replace('-', '/', 3) + '/'
post.unique_key = '/post/' + post.rel_url
yield post
posts_path = os.path.join(current_app.instance_path, 'posts')
result = filter(lambda p: include_draft or not p.is_draft,
posts_generator(posts_path))
result = self._filter_result(result, filter_functions)
return sorted(result, key=lambda p: p.created, reverse=True) | Get all posts from filesystem.
:param include_draft: return draft posts or not
:param filter_functions: filter to apply BEFORE result being sorted
:return: an iterable of Post objects (the first is the latest post) | Below is the the instruction that describes the task:
### Input:
Get all posts from filesystem.
:param include_draft: return draft posts or not
:param filter_functions: filter to apply BEFORE result being sorted
:return: an iterable of Post objects (the first is the latest post)
### Response:
def get_posts(self, include_draft=False, filter_functions=None):
"""
Get all posts from filesystem.
:param include_draft: return draft posts or not
:param filter_functions: filter to apply BEFORE result being sorted
:return: an iterable of Post objects (the first is the latest post)
"""
def posts_generator(path):
"""Loads valid posts one by one in the given path."""
if os.path.isdir(path):
for file in os.listdir(path):
filename, ext = os.path.splitext(file)
format_name = get_standard_format_name(ext[1:])
if format_name is not None and re.match(
r'\d{4}-\d{2}-\d{2}-.+', filename):
# the format is supported and the filename is valid,
# so load this post
post = Post()
post.format = format_name
post.meta, post.raw_content = FileStorage.read_file(
os.path.join(path, file))
post.rel_url = filename.replace('-', '/', 3) + '/'
post.unique_key = '/post/' + post.rel_url
yield post
posts_path = os.path.join(current_app.instance_path, 'posts')
result = filter(lambda p: include_draft or not p.is_draft,
posts_generator(posts_path))
result = self._filter_result(result, filter_functions)
return sorted(result, key=lambda p: p.created, reverse=True) |
def finalize(self):
"""
Get the base64-encoded signature itself.
Can only be called once.
"""
signature = self.signer.finalize()
sig_r, sig_s = decode_dss_signature(signature)
sig_b64 = encode_signature(sig_r, sig_s)
return sig_b64 | Get the base64-encoded signature itself.
Can only be called once. | Below is the the instruction that describes the task:
### Input:
Get the base64-encoded signature itself.
Can only be called once.
### Response:
def finalize(self):
"""
Get the base64-encoded signature itself.
Can only be called once.
"""
signature = self.signer.finalize()
sig_r, sig_s = decode_dss_signature(signature)
sig_b64 = encode_signature(sig_r, sig_s)
return sig_b64 |
def emit(self, record):
"""Prints a record out to some streams.
If FLAGS.logtostderr is set, it will print to sys.stderr ONLY.
If FLAGS.alsologtostderr is set, it will print to sys.stderr.
If FLAGS.logtostderr is not set, it will log to the stream
associated with the current thread.
Args:
record: logging.LogRecord, the record to emit.
"""
# People occasionally call logging functions at import time before
# our flags may have even been defined yet, let alone even parsed, as we
# rely on the C++ side to define some flags for us and app init to
# deal with parsing. Match the C++ library behavior of notify and emit
# such messages to stderr. It encourages people to clean-up and does
# not hide the message.
level = record.levelno
if not FLAGS.is_parsed(): # Also implies "before flag has been defined".
global _warn_preinit_stderr
if _warn_preinit_stderr:
sys.stderr.write(
'WARNING: Logging before flag parsing goes to stderr.\n')
_warn_preinit_stderr = False
self._log_to_stderr(record)
elif FLAGS['logtostderr'].value:
self._log_to_stderr(record)
else:
super(PythonHandler, self).emit(record)
stderr_threshold = converter.string_to_standard(
FLAGS['stderrthreshold'].value)
if ((FLAGS['alsologtostderr'].value or level >= stderr_threshold) and
self.stream != sys.stderr):
self._log_to_stderr(record)
# Die when the record is created from ABSLLogger and level is FATAL.
if _is_absl_fatal_record(record):
self.flush() # Flush the log before dying.
# In threaded python, sys.exit() from a non-main thread only
# exits the thread in question.
os.abort() | Prints a record out to some streams.
If FLAGS.logtostderr is set, it will print to sys.stderr ONLY.
If FLAGS.alsologtostderr is set, it will print to sys.stderr.
If FLAGS.logtostderr is not set, it will log to the stream
associated with the current thread.
Args:
record: logging.LogRecord, the record to emit. | Below is the the instruction that describes the task:
### Input:
Prints a record out to some streams.
If FLAGS.logtostderr is set, it will print to sys.stderr ONLY.
If FLAGS.alsologtostderr is set, it will print to sys.stderr.
If FLAGS.logtostderr is not set, it will log to the stream
associated with the current thread.
Args:
record: logging.LogRecord, the record to emit.
### Response:
def emit(self, record):
"""Prints a record out to some streams.
If FLAGS.logtostderr is set, it will print to sys.stderr ONLY.
If FLAGS.alsologtostderr is set, it will print to sys.stderr.
If FLAGS.logtostderr is not set, it will log to the stream
associated with the current thread.
Args:
record: logging.LogRecord, the record to emit.
"""
# People occasionally call logging functions at import time before
# our flags may have even been defined yet, let alone even parsed, as we
# rely on the C++ side to define some flags for us and app init to
# deal with parsing. Match the C++ library behavior of notify and emit
# such messages to stderr. It encourages people to clean-up and does
# not hide the message.
level = record.levelno
if not FLAGS.is_parsed(): # Also implies "before flag has been defined".
global _warn_preinit_stderr
if _warn_preinit_stderr:
sys.stderr.write(
'WARNING: Logging before flag parsing goes to stderr.\n')
_warn_preinit_stderr = False
self._log_to_stderr(record)
elif FLAGS['logtostderr'].value:
self._log_to_stderr(record)
else:
super(PythonHandler, self).emit(record)
stderr_threshold = converter.string_to_standard(
FLAGS['stderrthreshold'].value)
if ((FLAGS['alsologtostderr'].value or level >= stderr_threshold) and
self.stream != sys.stderr):
self._log_to_stderr(record)
# Die when the record is created from ABSLLogger and level is FATAL.
if _is_absl_fatal_record(record):
self.flush() # Flush the log before dying.
# In threaded python, sys.exit() from a non-main thread only
# exits the thread in question.
os.abort() |
def title(self, gender: Optional[Gender] = None,
title_type: Optional[TitleType] = None) -> str:
"""Generate a random title for name.
You can generate random prefix or suffix
for name using this method.
:param gender: The gender.
:param title_type: TitleType enum object.
:return: The title.
:raises NonEnumerableError: if gender or title_type in incorrect format.
:Example:
PhD.
"""
gender_key = self._validate_enum(gender, Gender)
title_key = self._validate_enum(title_type, TitleType)
titles = self._data['title'][gender_key][title_key]
return self.random.choice(titles) | Generate a random title for name.
You can generate random prefix or suffix
for name using this method.
:param gender: The gender.
:param title_type: TitleType enum object.
:return: The title.
:raises NonEnumerableError: if gender or title_type in incorrect format.
:Example:
PhD. | Below is the the instruction that describes the task:
### Input:
Generate a random title for name.
You can generate random prefix or suffix
for name using this method.
:param gender: The gender.
:param title_type: TitleType enum object.
:return: The title.
:raises NonEnumerableError: if gender or title_type in incorrect format.
:Example:
PhD.
### Response:
def title(self, gender: Optional[Gender] = None,
title_type: Optional[TitleType] = None) -> str:
"""Generate a random title for name.
You can generate random prefix or suffix
for name using this method.
:param gender: The gender.
:param title_type: TitleType enum object.
:return: The title.
:raises NonEnumerableError: if gender or title_type in incorrect format.
:Example:
PhD.
"""
gender_key = self._validate_enum(gender, Gender)
title_key = self._validate_enum(title_type, TitleType)
titles = self._data['title'][gender_key][title_key]
return self.random.choice(titles) |
def forward(self, input, target):
"""
NB: It's for debug only, please use optimizer.optimize() in production.
Takes an input object, and computes the corresponding loss of the criterion,
compared with `target`
:param input: ndarray or list of ndarray
:param target: ndarray or list of ndarray
:return: value of loss
"""
jinput, input_is_table = Layer.check_input(input)
jtarget, target_is_table = Layer.check_input(target)
output = callBigDlFunc(self.bigdl_type,
"criterionForward",
self.value,
jinput,
input_is_table,
jtarget,
target_is_table)
return output | NB: It's for debug only, please use optimizer.optimize() in production.
Takes an input object, and computes the corresponding loss of the criterion,
compared with `target`
:param input: ndarray or list of ndarray
:param target: ndarray or list of ndarray
:return: value of loss | Below is the the instruction that describes the task:
### Input:
NB: It's for debug only, please use optimizer.optimize() in production.
Takes an input object, and computes the corresponding loss of the criterion,
compared with `target`
:param input: ndarray or list of ndarray
:param target: ndarray or list of ndarray
:return: value of loss
### Response:
def forward(self, input, target):
"""
NB: It's for debug only, please use optimizer.optimize() in production.
Takes an input object, and computes the corresponding loss of the criterion,
compared with `target`
:param input: ndarray or list of ndarray
:param target: ndarray or list of ndarray
:return: value of loss
"""
jinput, input_is_table = Layer.check_input(input)
jtarget, target_is_table = Layer.check_input(target)
output = callBigDlFunc(self.bigdl_type,
"criterionForward",
self.value,
jinput,
input_is_table,
jtarget,
target_is_table)
return output |
def _wait_for_read_ready_or_timeout(self, timeout):
"""Returns tuple of whether stdin is ready to read and an event.
If an event is returned, that event is more pressing than reading
bytes on stdin to create a keyboard input event.
If stdin is ready, either there are bytes to read or a SIGTSTP
triggered by dsusp has been received"""
remaining_timeout = timeout
t0 = time.time()
while True:
try:
(rs, _, _) = select.select(
[self.in_stream.fileno()] + self.readers,
[], [], remaining_timeout)
if not rs:
return False, None
r = rs[0] # if there's more than one, get it in the next loop
if r == self.in_stream.fileno():
return True, None
else:
os.read(r, 1024)
if self.queued_interrupting_events:
return False, self.queued_interrupting_events.pop(0)
elif remaining_timeout is not None:
remaining_timeout = max(0, t0 + timeout - time.time())
continue
else:
continue
except select.error:
if self.sigints:
return False, self.sigints.pop()
if remaining_timeout is not None:
remaining_timeout = max(timeout - (time.time() - t0), 0) | Returns tuple of whether stdin is ready to read and an event.
If an event is returned, that event is more pressing than reading
bytes on stdin to create a keyboard input event.
If stdin is ready, either there are bytes to read or a SIGTSTP
triggered by dsusp has been received | Below is the the instruction that describes the task:
### Input:
Returns tuple of whether stdin is ready to read and an event.
If an event is returned, that event is more pressing than reading
bytes on stdin to create a keyboard input event.
If stdin is ready, either there are bytes to read or a SIGTSTP
triggered by dsusp has been received
### Response:
def _wait_for_read_ready_or_timeout(self, timeout):
"""Returns tuple of whether stdin is ready to read and an event.
If an event is returned, that event is more pressing than reading
bytes on stdin to create a keyboard input event.
If stdin is ready, either there are bytes to read or a SIGTSTP
triggered by dsusp has been received"""
remaining_timeout = timeout
t0 = time.time()
while True:
try:
(rs, _, _) = select.select(
[self.in_stream.fileno()] + self.readers,
[], [], remaining_timeout)
if not rs:
return False, None
r = rs[0] # if there's more than one, get it in the next loop
if r == self.in_stream.fileno():
return True, None
else:
os.read(r, 1024)
if self.queued_interrupting_events:
return False, self.queued_interrupting_events.pop(0)
elif remaining_timeout is not None:
remaining_timeout = max(0, t0 + timeout - time.time())
continue
else:
continue
except select.error:
if self.sigints:
return False, self.sigints.pop()
if remaining_timeout is not None:
remaining_timeout = max(timeout - (time.time() - t0), 0) |
def has_property(self, property_name):
"""
Check if schema has property
:param property_name: str, name to check
:return: bool
"""
if property_name in self.properties:
return True
elif property_name in self.entities:
return True
elif property_name in self.collections:
return True
else:
return False | Check if schema has property
:param property_name: str, name to check
:return: bool | Below is the the instruction that describes the task:
### Input:
Check if schema has property
:param property_name: str, name to check
:return: bool
### Response:
def has_property(self, property_name):
"""
Check if schema has property
:param property_name: str, name to check
:return: bool
"""
if property_name in self.properties:
return True
elif property_name in self.entities:
return True
elif property_name in self.collections:
return True
else:
return False |
def _update_estimate_and_sampler(self, ell, ell_hat, weight, extra_info,
**kwargs):
"""Update the BB models and the estimates"""
stratum_idx = extra_info['stratum']
self._BB_TP.update(ell*ell_hat, stratum_idx)
self._BB_PP.update(ell_hat, stratum_idx)
self._BB_P.update(ell, stratum_idx)
# Update model covariance matrix for stratum_idx
self._update_cov_model(strata_to_update = [stratum_idx])
# Update F-measure estimate, estimator variance, exp. variance decrease
self._update_estimates() | Update the BB models and the estimates | Below is the the instruction that describes the task:
### Input:
Update the BB models and the estimates
### Response:
def _update_estimate_and_sampler(self, ell, ell_hat, weight, extra_info,
**kwargs):
"""Update the BB models and the estimates"""
stratum_idx = extra_info['stratum']
self._BB_TP.update(ell*ell_hat, stratum_idx)
self._BB_PP.update(ell_hat, stratum_idx)
self._BB_P.update(ell, stratum_idx)
# Update model covariance matrix for stratum_idx
self._update_cov_model(strata_to_update = [stratum_idx])
# Update F-measure estimate, estimator variance, exp. variance decrease
self._update_estimates() |
def loadJSON(self, filename):
"""Adds the data from a JSON file. The file is expected to be in datapoint format::
d = DatapointArray().loadJSON("myfile.json")
"""
with open(filename, "r") as f:
self.merge(json.load(f))
return self | Adds the data from a JSON file. The file is expected to be in datapoint format::
d = DatapointArray().loadJSON("myfile.json") | Below is the the instruction that describes the task:
### Input:
Adds the data from a JSON file. The file is expected to be in datapoint format::
d = DatapointArray().loadJSON("myfile.json")
### Response:
def loadJSON(self, filename):
"""Adds the data from a JSON file. The file is expected to be in datapoint format::
d = DatapointArray().loadJSON("myfile.json")
"""
with open(filename, "r") as f:
self.merge(json.load(f))
return self |
def get(id_, hwid, type_, unit, precision, as_json):
"""Get temperature of a specific sensor"""
if id_ and (hwid or type_):
raise click.BadOptionUsage(
"If --id is given --hwid and --type are not allowed."
)
if id_:
try:
sensor = W1ThermSensor.get_available_sensors()[id_ - 1]
except IndexError:
raise click.BadOptionUsage(
"No sensor with id {0} available. "
"Use the ls command to show all available sensors.".format(id_)
)
else:
sensor = W1ThermSensor(type_, hwid)
if precision:
sensor.set_precision(precision, persist=False)
temperature = sensor.get_temperature(unit)
if as_json:
data = {
"hwid": sensor.id,
"type": sensor.type_name,
"temperature": temperature,
"unit": unit,
}
click.echo(json.dumps(data, indent=4, sort_keys=True))
else:
click.echo(
"Sensor {0} measured temperature: {1} {2}".format(
click.style(sensor.id, bold=True),
click.style(str(temperature), bold=True),
click.style(unit, bold=True),
)
) | Get temperature of a specific sensor | Below is the the instruction that describes the task:
### Input:
Get temperature of a specific sensor
### Response:
def get(id_, hwid, type_, unit, precision, as_json):
"""Get temperature of a specific sensor"""
if id_ and (hwid or type_):
raise click.BadOptionUsage(
"If --id is given --hwid and --type are not allowed."
)
if id_:
try:
sensor = W1ThermSensor.get_available_sensors()[id_ - 1]
except IndexError:
raise click.BadOptionUsage(
"No sensor with id {0} available. "
"Use the ls command to show all available sensors.".format(id_)
)
else:
sensor = W1ThermSensor(type_, hwid)
if precision:
sensor.set_precision(precision, persist=False)
temperature = sensor.get_temperature(unit)
if as_json:
data = {
"hwid": sensor.id,
"type": sensor.type_name,
"temperature": temperature,
"unit": unit,
}
click.echo(json.dumps(data, indent=4, sort_keys=True))
else:
click.echo(
"Sensor {0} measured temperature: {1} {2}".format(
click.style(sensor.id, bold=True),
click.style(str(temperature), bold=True),
click.style(unit, bold=True),
)
) |
def gep(self, ptr, indices, inbounds=False, name=''):
"""
Compute effective address (getelementptr):
name = getelementptr ptr, <indices...>
"""
instr = instructions.GEPInstr(self.block, ptr, indices,
inbounds=inbounds, name=name)
self._insert(instr)
return instr | Compute effective address (getelementptr):
name = getelementptr ptr, <indices...> | Below is the the instruction that describes the task:
### Input:
Compute effective address (getelementptr):
name = getelementptr ptr, <indices...>
### Response:
def gep(self, ptr, indices, inbounds=False, name=''):
"""
Compute effective address (getelementptr):
name = getelementptr ptr, <indices...>
"""
instr = instructions.GEPInstr(self.block, ptr, indices,
inbounds=inbounds, name=name)
self._insert(instr)
return instr |
def cds_column_replace(source, data):
"""
Determine if the CDS.data requires a full replacement or simply
needs to be updated. A replacement is required if untouched
columns are not the same length as the columns being updated.
"""
current_length = [len(v) for v in source.data.values() if isinstance(v, (list, np.ndarray))]
new_length = [len(v) for v in data.values() if isinstance(v, (list, np.ndarray))]
untouched = [k for k in source.data if k not in data]
return bool(untouched and current_length and new_length and current_length[0] != new_length[0]) | Determine if the CDS.data requires a full replacement or simply
needs to be updated. A replacement is required if untouched
columns are not the same length as the columns being updated. | Below is the the instruction that describes the task:
### Input:
Determine if the CDS.data requires a full replacement or simply
needs to be updated. A replacement is required if untouched
columns are not the same length as the columns being updated.
### Response:
def cds_column_replace(source, data):
"""
Determine if the CDS.data requires a full replacement or simply
needs to be updated. A replacement is required if untouched
columns are not the same length as the columns being updated.
"""
current_length = [len(v) for v in source.data.values() if isinstance(v, (list, np.ndarray))]
new_length = [len(v) for v in data.values() if isinstance(v, (list, np.ndarray))]
untouched = [k for k in source.data if k not in data]
return bool(untouched and current_length and new_length and current_length[0] != new_length[0]) |
def dsort(fname, order, has_header=True, frow=0, ofname=None):
r"""
Sort file data.
:param fname: Name of the comma-separated values file to sort
:type fname: FileNameExists_
:param order: Sort order
:type order: :ref:`CsvColFilter`
:param has_header: Flag that indicates whether the comma-separated
values file to sort has column headers in its first line
(True) or not (False)
:type has_header: boolean
:param frow: First data row (starting from 1). If 0 the row where data
starts is auto-detected as the first row that has a number
(integer of float) in at least one of its columns
:type frow: NonNegativeInteger_
:param ofname: Name of the output comma-separated values file, the file
that will contain the sorted data. If None the sorting is
done "in place"
:type ofname: FileName_ or None
.. [[[cog cog.out(exobj.get_sphinx_autodoc(raised=True)) ]]]
.. Auto-generated exceptions documentation for pcsv.dsort.dsort
:raises:
* OSError (File *[fname]* could not be found)
* RuntimeError (Argument \`fname\` is not valid)
* RuntimeError (Argument \`frow\` is not valid)
* RuntimeError (Argument \`has_header\` is not valid)
* RuntimeError (Argument \`ofname\` is not valid)
* RuntimeError (Argument \`order\` is not valid)
* RuntimeError (Column headers are not unique in file *[fname]*)
* RuntimeError (File *[fname]* has no valid data)
* RuntimeError (File *[fname]* is empty)
* RuntimeError (Invalid column specification)
* ValueError (Column *[column_identifier]* not found)
.. [[[end]]]
"""
ofname = fname if ofname is None else ofname
obj = CsvFile(fname=fname, has_header=has_header, frow=frow)
obj.dsort(order)
obj.write(fname=ofname, header=has_header, append=False) | r"""
Sort file data.
:param fname: Name of the comma-separated values file to sort
:type fname: FileNameExists_
:param order: Sort order
:type order: :ref:`CsvColFilter`
:param has_header: Flag that indicates whether the comma-separated
values file to sort has column headers in its first line
(True) or not (False)
:type has_header: boolean
:param frow: First data row (starting from 1). If 0 the row where data
starts is auto-detected as the first row that has a number
(integer of float) in at least one of its columns
:type frow: NonNegativeInteger_
:param ofname: Name of the output comma-separated values file, the file
that will contain the sorted data. If None the sorting is
done "in place"
:type ofname: FileName_ or None
.. [[[cog cog.out(exobj.get_sphinx_autodoc(raised=True)) ]]]
.. Auto-generated exceptions documentation for pcsv.dsort.dsort
:raises:
* OSError (File *[fname]* could not be found)
* RuntimeError (Argument \`fname\` is not valid)
* RuntimeError (Argument \`frow\` is not valid)
* RuntimeError (Argument \`has_header\` is not valid)
* RuntimeError (Argument \`ofname\` is not valid)
* RuntimeError (Argument \`order\` is not valid)
* RuntimeError (Column headers are not unique in file *[fname]*)
* RuntimeError (File *[fname]* has no valid data)
* RuntimeError (File *[fname]* is empty)
* RuntimeError (Invalid column specification)
* ValueError (Column *[column_identifier]* not found)
.. [[[end]]] | Below is the the instruction that describes the task:
### Input:
r"""
Sort file data.
:param fname: Name of the comma-separated values file to sort
:type fname: FileNameExists_
:param order: Sort order
:type order: :ref:`CsvColFilter`
:param has_header: Flag that indicates whether the comma-separated
values file to sort has column headers in its first line
(True) or not (False)
:type has_header: boolean
:param frow: First data row (starting from 1). If 0 the row where data
starts is auto-detected as the first row that has a number
(integer of float) in at least one of its columns
:type frow: NonNegativeInteger_
:param ofname: Name of the output comma-separated values file, the file
that will contain the sorted data. If None the sorting is
done "in place"
:type ofname: FileName_ or None
.. [[[cog cog.out(exobj.get_sphinx_autodoc(raised=True)) ]]]
.. Auto-generated exceptions documentation for pcsv.dsort.dsort
:raises:
* OSError (File *[fname]* could not be found)
* RuntimeError (Argument \`fname\` is not valid)
* RuntimeError (Argument \`frow\` is not valid)
* RuntimeError (Argument \`has_header\` is not valid)
* RuntimeError (Argument \`ofname\` is not valid)
* RuntimeError (Argument \`order\` is not valid)
* RuntimeError (Column headers are not unique in file *[fname]*)
* RuntimeError (File *[fname]* has no valid data)
* RuntimeError (File *[fname]* is empty)
* RuntimeError (Invalid column specification)
* ValueError (Column *[column_identifier]* not found)
.. [[[end]]]
### Response:
def dsort(fname, order, has_header=True, frow=0, ofname=None):
r"""
Sort file data.
:param fname: Name of the comma-separated values file to sort
:type fname: FileNameExists_
:param order: Sort order
:type order: :ref:`CsvColFilter`
:param has_header: Flag that indicates whether the comma-separated
values file to sort has column headers in its first line
(True) or not (False)
:type has_header: boolean
:param frow: First data row (starting from 1). If 0 the row where data
starts is auto-detected as the first row that has a number
(integer of float) in at least one of its columns
:type frow: NonNegativeInteger_
:param ofname: Name of the output comma-separated values file, the file
that will contain the sorted data. If None the sorting is
done "in place"
:type ofname: FileName_ or None
.. [[[cog cog.out(exobj.get_sphinx_autodoc(raised=True)) ]]]
.. Auto-generated exceptions documentation for pcsv.dsort.dsort
:raises:
* OSError (File *[fname]* could not be found)
* RuntimeError (Argument \`fname\` is not valid)
* RuntimeError (Argument \`frow\` is not valid)
* RuntimeError (Argument \`has_header\` is not valid)
* RuntimeError (Argument \`ofname\` is not valid)
* RuntimeError (Argument \`order\` is not valid)
* RuntimeError (Column headers are not unique in file *[fname]*)
* RuntimeError (File *[fname]* has no valid data)
* RuntimeError (File *[fname]* is empty)
* RuntimeError (Invalid column specification)
* ValueError (Column *[column_identifier]* not found)
.. [[[end]]]
"""
ofname = fname if ofname is None else ofname
obj = CsvFile(fname=fname, has_header=has_header, frow=frow)
obj.dsort(order)
obj.write(fname=ofname, header=has_header, append=False) |
def mark_entries(self, entries):
''' Mark one entry as main entry and the rest as resource entry.
Main entry is the entry that contain response's body
of the requested URL.
'''
for entry in entries:
self._set_entry_type(entry, RESOURCE_ENTRY)
# If first entry doesn't have a redirect, set is as main entry
main_entry = entries[0]
main_location = self._get_location(main_entry)
if not main_location:
self._set_entry_type(main_entry, MAIN_ENTRY)
return
# Resolve redirected URL and see if it's in the rest of entries
main_url = urllib.parse.urljoin(get_url(main_entry), main_location)
for entry in entries[1:]:
url = get_url(entry)
if url == main_url:
self._set_entry_type(entry, MAIN_ENTRY)
break
else:
# In fail case, set the first entry
self._set_entry_type(main_entry, MAIN_ENTRY) | Mark one entry as main entry and the rest as resource entry.
Main entry is the entry that contain response's body
of the requested URL. | Below is the the instruction that describes the task:
### Input:
Mark one entry as main entry and the rest as resource entry.
Main entry is the entry that contain response's body
of the requested URL.
### Response:
def mark_entries(self, entries):
''' Mark one entry as main entry and the rest as resource entry.
Main entry is the entry that contain response's body
of the requested URL.
'''
for entry in entries:
self._set_entry_type(entry, RESOURCE_ENTRY)
# If first entry doesn't have a redirect, set is as main entry
main_entry = entries[0]
main_location = self._get_location(main_entry)
if not main_location:
self._set_entry_type(main_entry, MAIN_ENTRY)
return
# Resolve redirected URL and see if it's in the rest of entries
main_url = urllib.parse.urljoin(get_url(main_entry), main_location)
for entry in entries[1:]:
url = get_url(entry)
if url == main_url:
self._set_entry_type(entry, MAIN_ENTRY)
break
else:
# In fail case, set the first entry
self._set_entry_type(main_entry, MAIN_ENTRY) |
def build_genome_alignment_from_file(ga_path, ref_spec, idx_path=None,
verbose=False):
"""
build a genome alignment by loading from a single MAF file.
:param ga_path: the path to the file to load.
:param ref_spec: which species in the MAF file is the reference?
:param idx_path: if provided, use this index to generate a just-in-time
genome alignment, instead of loading the file immediately.
"""
blocks = []
if (idx_path is not None):
bound_iter = functools.partial(genome_alignment_iterator,
reference_species=ref_spec)
hash_func = JustInTimeGenomeAlignmentBlock.build_hash
factory = IndexedFile(None, bound_iter, hash_func)
factory.read_index(idx_path, ga_path, verbose=verbose)
pind = None
for k in factory:
if verbose:
if pind is None:
total = len(factory)
pind = ProgressIndicator(totalToDo=total, messagePrefix="completed",
messageSuffix="building alignment blocks ")
pind.done += 1
pind.showProgress()
blocks.append(JustInTimeGenomeAlignmentBlock(factory, k))
else:
for b in genome_alignment_iterator(ga_path, ref_spec, verbose=verbose):
blocks.append(b)
return GenomeAlignment(blocks, verbose) | build a genome alignment by loading from a single MAF file.
:param ga_path: the path to the file to load.
:param ref_spec: which species in the MAF file is the reference?
:param idx_path: if provided, use this index to generate a just-in-time
genome alignment, instead of loading the file immediately. | Below is the the instruction that describes the task:
### Input:
build a genome alignment by loading from a single MAF file.
:param ga_path: the path to the file to load.
:param ref_spec: which species in the MAF file is the reference?
:param idx_path: if provided, use this index to generate a just-in-time
genome alignment, instead of loading the file immediately.
### Response:
def build_genome_alignment_from_file(ga_path, ref_spec, idx_path=None,
verbose=False):
"""
build a genome alignment by loading from a single MAF file.
:param ga_path: the path to the file to load.
:param ref_spec: which species in the MAF file is the reference?
:param idx_path: if provided, use this index to generate a just-in-time
genome alignment, instead of loading the file immediately.
"""
blocks = []
if (idx_path is not None):
bound_iter = functools.partial(genome_alignment_iterator,
reference_species=ref_spec)
hash_func = JustInTimeGenomeAlignmentBlock.build_hash
factory = IndexedFile(None, bound_iter, hash_func)
factory.read_index(idx_path, ga_path, verbose=verbose)
pind = None
for k in factory:
if verbose:
if pind is None:
total = len(factory)
pind = ProgressIndicator(totalToDo=total, messagePrefix="completed",
messageSuffix="building alignment blocks ")
pind.done += 1
pind.showProgress()
blocks.append(JustInTimeGenomeAlignmentBlock(factory, k))
else:
for b in genome_alignment_iterator(ga_path, ref_spec, verbose=verbose):
blocks.append(b)
return GenomeAlignment(blocks, verbose) |
async def _send_report(self, status):
"""
Call all subscribed coroutines in _notify whenever a status
update occurs.
This method is a coroutine
"""
if len(self._notify) > 0:
# Each client gets its own copy of the dict.
asyncio.gather(*[coro(dict(status)) for coro in self._notify],
loop=self.loop) | Call all subscribed coroutines in _notify whenever a status
update occurs.
This method is a coroutine | Below is the the instruction that describes the task:
### Input:
Call all subscribed coroutines in _notify whenever a status
update occurs.
This method is a coroutine
### Response:
async def _send_report(self, status):
"""
Call all subscribed coroutines in _notify whenever a status
update occurs.
This method is a coroutine
"""
if len(self._notify) > 0:
# Each client gets its own copy of the dict.
asyncio.gather(*[coro(dict(status)) for coro in self._notify],
loop=self.loop) |
def reviews(self, last_item, filter_=None):
"""Get the reviews starting from last_item."""
cmd = self._get_gerrit_cmd(last_item, filter_)
logger.debug("Getting reviews with command: %s", cmd)
raw_data = self.__execute(cmd)
raw_data = str(raw_data, "UTF-8")
return raw_data | Get the reviews starting from last_item. | Below is the the instruction that describes the task:
### Input:
Get the reviews starting from last_item.
### Response:
def reviews(self, last_item, filter_=None):
"""Get the reviews starting from last_item."""
cmd = self._get_gerrit_cmd(last_item, filter_)
logger.debug("Getting reviews with command: %s", cmd)
raw_data = self.__execute(cmd)
raw_data = str(raw_data, "UTF-8")
return raw_data |
def run(args):
"""
Args:
args (argparse.Namespace)
"""
with warnings.catch_warnings():
warnings.simplefilter('ignore')
query = prepareQuery(args.query_file.read())
ds = Dataset()
res_indices_prev = set() # de-duplication
res_indices = set()
# create sub graphs
for f in args.graphs:
g = Graph(identifier=os.path.basename(f.name))
g.parse(data=f.read(), format='n3')
ds.add_graph(g)
# create and query data graph
for data in read_by_chunk(args.input_file, int(args.chunk_size)):
g = Graph(identifier='data')
g.parse(data=data, format=args.input_type)
ds.add_graph(g)
res = ds.query(query)
dedup_res_graph = Graph()
if len(res) != 0:
for r in res:
tid = generate_index(r)
res_indices.add(tid)
if tid in res_indices_prev: # duplicated
continue
dedup_res_graph.add(r)
if len(dedup_res_graph) > 0:
ret = dedup_res_graph.serialize(format=args.output_type, encoding='utf-8')
args.output_file.write(ret)
ds.remove_graph(g)
res_indices_prev = res_indices
res_indices = set() | Args:
args (argparse.Namespace) | Below is the the instruction that describes the task:
### Input:
Args:
args (argparse.Namespace)
### Response:
def run(args):
"""
Args:
args (argparse.Namespace)
"""
with warnings.catch_warnings():
warnings.simplefilter('ignore')
query = prepareQuery(args.query_file.read())
ds = Dataset()
res_indices_prev = set() # de-duplication
res_indices = set()
# create sub graphs
for f in args.graphs:
g = Graph(identifier=os.path.basename(f.name))
g.parse(data=f.read(), format='n3')
ds.add_graph(g)
# create and query data graph
for data in read_by_chunk(args.input_file, int(args.chunk_size)):
g = Graph(identifier='data')
g.parse(data=data, format=args.input_type)
ds.add_graph(g)
res = ds.query(query)
dedup_res_graph = Graph()
if len(res) != 0:
for r in res:
tid = generate_index(r)
res_indices.add(tid)
if tid in res_indices_prev: # duplicated
continue
dedup_res_graph.add(r)
if len(dedup_res_graph) > 0:
ret = dedup_res_graph.serialize(format=args.output_type, encoding='utf-8')
args.output_file.write(ret)
ds.remove_graph(g)
res_indices_prev = res_indices
res_indices = set() |
def _parse_tensor(self, indices=False):
'''Parse a tensor.'''
if indices:
self.line = self._skip_lines(1)
tensor = np.zeros((3, 3))
for i in range(3):
tokens = self.line.split()
if indices:
tensor[i][0] = float(tokens[1])
tensor[i][1] = float(tokens[2])
tensor[i][2] = float(tokens[3])
else:
tensor[i][0] = float(tokens[0])
tensor[i][1] = float(tokens[1])
tensor[i][2] = float(tokens[2])
self.line = self._skip_lines(1)
return tensor | Parse a tensor. | Below is the the instruction that describes the task:
### Input:
Parse a tensor.
### Response:
def _parse_tensor(self, indices=False):
'''Parse a tensor.'''
if indices:
self.line = self._skip_lines(1)
tensor = np.zeros((3, 3))
for i in range(3):
tokens = self.line.split()
if indices:
tensor[i][0] = float(tokens[1])
tensor[i][1] = float(tokens[2])
tensor[i][2] = float(tokens[3])
else:
tensor[i][0] = float(tokens[0])
tensor[i][1] = float(tokens[1])
tensor[i][2] = float(tokens[2])
self.line = self._skip_lines(1)
return tensor |
def save(df, path, data_paths):
"""
Args:
df (DataFlow): the DataFlow to serialize.
path (str): output hdf5 file.
data_paths (list[str]): list of h5 paths. It should have the same
length as each datapoint, and each path should correspond to one
component of the datapoint.
"""
size = _reset_df_and_get_size(df)
buffer = defaultdict(list)
with get_tqdm(total=size) as pbar:
for dp in df:
assert len(dp) == len(data_paths), "Datapoint has {} components!".format(len(dp))
for k, el in zip(data_paths, dp):
buffer[k].append(el)
pbar.update()
with h5py.File(path, 'w') as hf, get_tqdm(total=len(data_paths)) as pbar:
for data_path in data_paths:
hf.create_dataset(data_path, data=buffer[data_path])
pbar.update() | Args:
df (DataFlow): the DataFlow to serialize.
path (str): output hdf5 file.
data_paths (list[str]): list of h5 paths. It should have the same
length as each datapoint, and each path should correspond to one
component of the datapoint. | Below is the the instruction that describes the task:
### Input:
Args:
df (DataFlow): the DataFlow to serialize.
path (str): output hdf5 file.
data_paths (list[str]): list of h5 paths. It should have the same
length as each datapoint, and each path should correspond to one
component of the datapoint.
### Response:
def save(df, path, data_paths):
"""
Args:
df (DataFlow): the DataFlow to serialize.
path (str): output hdf5 file.
data_paths (list[str]): list of h5 paths. It should have the same
length as each datapoint, and each path should correspond to one
component of the datapoint.
"""
size = _reset_df_and_get_size(df)
buffer = defaultdict(list)
with get_tqdm(total=size) as pbar:
for dp in df:
assert len(dp) == len(data_paths), "Datapoint has {} components!".format(len(dp))
for k, el in zip(data_paths, dp):
buffer[k].append(el)
pbar.update()
with h5py.File(path, 'w') as hf, get_tqdm(total=len(data_paths)) as pbar:
for data_path in data_paths:
hf.create_dataset(data_path, data=buffer[data_path])
pbar.update() |
def set_project_filenames(self, recent_files):
"""Set the list of open file names in a project"""
if (self.current_active_project
and self.is_valid_project(
self.current_active_project.root_path)):
self.current_active_project.set_recent_files(recent_files) | Set the list of open file names in a project | Below is the the instruction that describes the task:
### Input:
Set the list of open file names in a project
### Response:
def set_project_filenames(self, recent_files):
"""Set the list of open file names in a project"""
if (self.current_active_project
and self.is_valid_project(
self.current_active_project.root_path)):
self.current_active_project.set_recent_files(recent_files) |
def revoke(self):
"""
* flag certificate as revoked
* fill in revoked_at DateTimeField
"""
now = timezone.now()
self.revoked = True
self.revoked_at = now
self.save() | * flag certificate as revoked
* fill in revoked_at DateTimeField | Below is the the instruction that describes the task:
### Input:
* flag certificate as revoked
* fill in revoked_at DateTimeField
### Response:
def revoke(self):
"""
* flag certificate as revoked
* fill in revoked_at DateTimeField
"""
now = timezone.now()
self.revoked = True
self.revoked_at = now
self.save() |
def calcu0(self,E,Lz):
"""
NAME:
calcu0
PURPOSE:
calculate the minimum of the u potential
INPUT:
E - energy
Lz - angular momentum
OUTPUT:
u0
HISTORY:
2012-11-29 - Written - Bovy (IAS)
"""
logu0= optimize.brent(_u0Eq,
args=(self._delta,self._pot,
E,Lz**2./2.))
return numpy.exp(logu0) | NAME:
calcu0
PURPOSE:
calculate the minimum of the u potential
INPUT:
E - energy
Lz - angular momentum
OUTPUT:
u0
HISTORY:
2012-11-29 - Written - Bovy (IAS) | Below is the the instruction that describes the task:
### Input:
NAME:
calcu0
PURPOSE:
calculate the minimum of the u potential
INPUT:
E - energy
Lz - angular momentum
OUTPUT:
u0
HISTORY:
2012-11-29 - Written - Bovy (IAS)
### Response:
def calcu0(self,E,Lz):
"""
NAME:
calcu0
PURPOSE:
calculate the minimum of the u potential
INPUT:
E - energy
Lz - angular momentum
OUTPUT:
u0
HISTORY:
2012-11-29 - Written - Bovy (IAS)
"""
logu0= optimize.brent(_u0Eq,
args=(self._delta,self._pot,
E,Lz**2./2.))
return numpy.exp(logu0) |
def open_state_machine(path=None, recent_opened_notification=False):
""" Open a state machine from respective file system path
:param str path: file system path to the state machine
:param bool recent_opened_notification: flags that indicates that this call also should update recently open
:rtype rafcon.core.state_machine.StateMachine
:return: opened state machine
"""
start_time = time.time()
if path is None:
if interface.open_folder_func is None:
logger.error("No function defined for opening a folder")
return
load_path = interface.open_folder_func("Please choose the folder of the state machine")
if load_path is None:
return
else:
load_path = path
if state_machine_manager.is_state_machine_open(load_path):
logger.info("State machine already open. Select state machine instance from path {0}.".format(load_path))
sm = state_machine_manager.get_open_state_machine_of_file_system_path(load_path)
gui_helper_state.gui_singletons.state_machine_manager_model.selected_state_machine_id = sm.state_machine_id
return state_machine_manager.get_open_state_machine_of_file_system_path(load_path)
state_machine = None
try:
state_machine = storage.load_state_machine_from_path(load_path)
state_machine_manager.add_state_machine(state_machine)
if recent_opened_notification:
global_runtime_config.update_recently_opened_state_machines_with(state_machine)
duration = time.time() - start_time
stat = state_machine.root_state.get_states_statistics(0)
logger.info("It took {0:.2}s to load {1} states with {2} hierarchy levels.".format(duration, stat[0], stat[1]))
except (AttributeError, ValueError, IOError) as e:
logger.error('Error while trying to open state machine: {0}'.format(e))
return state_machine | Open a state machine from respective file system path
:param str path: file system path to the state machine
:param bool recent_opened_notification: flags that indicates that this call also should update recently open
:rtype rafcon.core.state_machine.StateMachine
:return: opened state machine | Below is the the instruction that describes the task:
### Input:
Open a state machine from respective file system path
:param str path: file system path to the state machine
:param bool recent_opened_notification: flags that indicates that this call also should update recently open
:rtype rafcon.core.state_machine.StateMachine
:return: opened state machine
### Response:
def open_state_machine(path=None, recent_opened_notification=False):
""" Open a state machine from respective file system path
:param str path: file system path to the state machine
:param bool recent_opened_notification: flags that indicates that this call also should update recently open
:rtype rafcon.core.state_machine.StateMachine
:return: opened state machine
"""
start_time = time.time()
if path is None:
if interface.open_folder_func is None:
logger.error("No function defined for opening a folder")
return
load_path = interface.open_folder_func("Please choose the folder of the state machine")
if load_path is None:
return
else:
load_path = path
if state_machine_manager.is_state_machine_open(load_path):
logger.info("State machine already open. Select state machine instance from path {0}.".format(load_path))
sm = state_machine_manager.get_open_state_machine_of_file_system_path(load_path)
gui_helper_state.gui_singletons.state_machine_manager_model.selected_state_machine_id = sm.state_machine_id
return state_machine_manager.get_open_state_machine_of_file_system_path(load_path)
state_machine = None
try:
state_machine = storage.load_state_machine_from_path(load_path)
state_machine_manager.add_state_machine(state_machine)
if recent_opened_notification:
global_runtime_config.update_recently_opened_state_machines_with(state_machine)
duration = time.time() - start_time
stat = state_machine.root_state.get_states_statistics(0)
logger.info("It took {0:.2}s to load {1} states with {2} hierarchy levels.".format(duration, stat[0], stat[1]))
except (AttributeError, ValueError, IOError) as e:
logger.error('Error while trying to open state machine: {0}'.format(e))
return state_machine |
def render_js_code(self, id_, *args, **kwargs):
"""Render html container for Select2 widget with options."""
if id_:
options = self.render_select2_options_code(
dict(self.get_options()), id_)
return mark_safe(self.html.format(id=id_, options=options))
return u'' | Render html container for Select2 widget with options. | Below is the the instruction that describes the task:
### Input:
Render html container for Select2 widget with options.
### Response:
def render_js_code(self, id_, *args, **kwargs):
"""Render html container for Select2 widget with options."""
if id_:
options = self.render_select2_options_code(
dict(self.get_options()), id_)
return mark_safe(self.html.format(id=id_, options=options))
return u'' |
def _ensure_counter(self):
"""Ensure the sync counter is a valid non-dummy object."""
if not isinstance(self.sync_counter, self._SynchronizationManager):
self.sync_counter = self._SynchronizationManager() | Ensure the sync counter is a valid non-dummy object. | Below is the the instruction that describes the task:
### Input:
Ensure the sync counter is a valid non-dummy object.
### Response:
def _ensure_counter(self):
"""Ensure the sync counter is a valid non-dummy object."""
if not isinstance(self.sync_counter, self._SynchronizationManager):
self.sync_counter = self._SynchronizationManager() |
def throttle(self, key, amount=1, rate=None, capacity=None,
exc_class=Throttled, **kwargs):
"""Consume an amount for a given key, or raise a Throttled exception."""
if not self.consume(key, amount, rate, capacity, **kwargs):
raise exc_class("Request of %d unit for %s exceeds capacity."
% (amount, key)) | Consume an amount for a given key, or raise a Throttled exception. | Below is the the instruction that describes the task:
### Input:
Consume an amount for a given key, or raise a Throttled exception.
### Response:
def throttle(self, key, amount=1, rate=None, capacity=None,
exc_class=Throttled, **kwargs):
"""Consume an amount for a given key, or raise a Throttled exception."""
if not self.consume(key, amount, rate, capacity, **kwargs):
raise exc_class("Request of %d unit for %s exceeds capacity."
% (amount, key)) |
def dump_tables_to_tskit(pop):
"""
Converts fwdpy11.TableCollection to an
tskit.TreeSequence
"""
node_view = np.array(pop.tables.nodes, copy=True)
node_view['time'] -= node_view['time'].max()
node_view['time'][np.where(node_view['time'] != 0.0)[0]] *= -1.0
edge_view = np.array(pop.tables.edges, copy=False)
mut_view = np.array(pop.tables.mutations, copy=False)
tc = tskit.TableCollection(pop.tables.genome_length)
# We must initialize population and individual
# tables before we can do anything else.
# Attempting to set population to anything
# other than -1 in an tskit.NodeTable will
# raise an exception if the PopulationTable
# isn't set up.
_initializePopulationTable(node_view, tc)
node_to_individual = _initializeIndividualTable(pop, tc)
individual = [-1 for i in range(len(node_view))]
for k, v in node_to_individual.items():
individual[k] = v
flags = [1]*2*pop.N + [0]*(len(node_view) - 2*pop.N)
# Bug fixed in 0.3.1: add preserved nodes to samples list
for i in pop.tables.preserved_nodes:
flags[i] = 1
tc.nodes.set_columns(flags=flags, time=node_view['time'],
population=node_view['population'],
individual=individual)
tc.edges.set_columns(left=edge_view['left'],
right=edge_view['right'],
parent=edge_view['parent'],
child=edge_view['child'])
mpos = np.array([pop.mutations[i].pos for i in mut_view['key']])
ancestral_state = np.zeros(len(mut_view), dtype=np.int8)+ord('0')
ancestral_state_offset = np.arange(len(mut_view)+1, dtype=np.uint32)
tc.sites.set_columns(position=mpos,
ancestral_state=ancestral_state,
ancestral_state_offset=ancestral_state_offset)
derived_state = np.zeros(len(mut_view), dtype=np.int8)+ord('1')
md, mdo = _generate_mutation_metadata(pop)
tc.mutations.set_columns(site=np.arange(len(mpos), dtype=np.int32),
node=mut_view['node'],
derived_state=derived_state,
derived_state_offset=ancestral_state_offset,
metadata=md,
metadata_offset=mdo)
return tc.tree_sequence() | Converts fwdpy11.TableCollection to an
tskit.TreeSequence | Below is the the instruction that describes the task:
### Input:
Converts fwdpy11.TableCollection to an
tskit.TreeSequence
### Response:
def dump_tables_to_tskit(pop):
"""
Converts fwdpy11.TableCollection to an
tskit.TreeSequence
"""
node_view = np.array(pop.tables.nodes, copy=True)
node_view['time'] -= node_view['time'].max()
node_view['time'][np.where(node_view['time'] != 0.0)[0]] *= -1.0
edge_view = np.array(pop.tables.edges, copy=False)
mut_view = np.array(pop.tables.mutations, copy=False)
tc = tskit.TableCollection(pop.tables.genome_length)
# We must initialize population and individual
# tables before we can do anything else.
# Attempting to set population to anything
# other than -1 in an tskit.NodeTable will
# raise an exception if the PopulationTable
# isn't set up.
_initializePopulationTable(node_view, tc)
node_to_individual = _initializeIndividualTable(pop, tc)
individual = [-1 for i in range(len(node_view))]
for k, v in node_to_individual.items():
individual[k] = v
flags = [1]*2*pop.N + [0]*(len(node_view) - 2*pop.N)
# Bug fixed in 0.3.1: add preserved nodes to samples list
for i in pop.tables.preserved_nodes:
flags[i] = 1
tc.nodes.set_columns(flags=flags, time=node_view['time'],
population=node_view['population'],
individual=individual)
tc.edges.set_columns(left=edge_view['left'],
right=edge_view['right'],
parent=edge_view['parent'],
child=edge_view['child'])
mpos = np.array([pop.mutations[i].pos for i in mut_view['key']])
ancestral_state = np.zeros(len(mut_view), dtype=np.int8)+ord('0')
ancestral_state_offset = np.arange(len(mut_view)+1, dtype=np.uint32)
tc.sites.set_columns(position=mpos,
ancestral_state=ancestral_state,
ancestral_state_offset=ancestral_state_offset)
derived_state = np.zeros(len(mut_view), dtype=np.int8)+ord('1')
md, mdo = _generate_mutation_metadata(pop)
tc.mutations.set_columns(site=np.arange(len(mpos), dtype=np.int32),
node=mut_view['node'],
derived_state=derived_state,
derived_state_offset=ancestral_state_offset,
metadata=md,
metadata_offset=mdo)
return tc.tree_sequence() |
def uncompress_files(original, destination):
"""
Move file from original path to destination path.
:type original: str
:param original: The location of zip file
:type destination: str
:param destination: The extract path
"""
with zipfile.ZipFile(original) as zips:
extract_path = os.path.join(destination)
zips.extractall(extract_path) | Move file from original path to destination path.
:type original: str
:param original: The location of zip file
:type destination: str
:param destination: The extract path | Below is the the instruction that describes the task:
### Input:
Move file from original path to destination path.
:type original: str
:param original: The location of zip file
:type destination: str
:param destination: The extract path
### Response:
def uncompress_files(original, destination):
"""
Move file from original path to destination path.
:type original: str
:param original: The location of zip file
:type destination: str
:param destination: The extract path
"""
with zipfile.ZipFile(original) as zips:
extract_path = os.path.join(destination)
zips.extractall(extract_path) |
def connect(self):
"Connects to the Redis server if not already connected"
if self._sock:
return
try:
sock = self._connect()
except socket.timeout:
raise TimeoutError("Timeout connecting to server")
except socket.error:
e = sys.exc_info()[1]
raise ConnectionError(self._error_message(e))
self._sock = sock
self._selector = DefaultSelector(sock)
try:
self.on_connect()
except RedisError:
# clean up after any error in on_connect
self.disconnect()
raise
# run any user callbacks. right now the only internal callback
# is for pubsub channel/pattern resubscription
for callback in self._connect_callbacks:
callback(self) | Connects to the Redis server if not already connected | Below is the the instruction that describes the task:
### Input:
Connects to the Redis server if not already connected
### Response:
def connect(self):
"Connects to the Redis server if not already connected"
if self._sock:
return
try:
sock = self._connect()
except socket.timeout:
raise TimeoutError("Timeout connecting to server")
except socket.error:
e = sys.exc_info()[1]
raise ConnectionError(self._error_message(e))
self._sock = sock
self._selector = DefaultSelector(sock)
try:
self.on_connect()
except RedisError:
# clean up after any error in on_connect
self.disconnect()
raise
# run any user callbacks. right now the only internal callback
# is for pubsub channel/pattern resubscription
for callback in self._connect_callbacks:
callback(self) |
def can_cast_to(v: Literal, dt: str) -> bool:
""" 5.4.3 Datatype Constraints
Determine whether "a value of the lexical form of n can be cast to the target type v per
XPath Functions 3.1 section 19 Casting[xpath-functions]."
"""
# TODO: rdflib doesn't appear to pay any attention to lengths (e.g. 257 is a valid XSD.byte)
return v.value is not None and Literal(str(v), datatype=dt).value is not None | 5.4.3 Datatype Constraints
Determine whether "a value of the lexical form of n can be cast to the target type v per
XPath Functions 3.1 section 19 Casting[xpath-functions]." | Below is the the instruction that describes the task:
### Input:
5.4.3 Datatype Constraints
Determine whether "a value of the lexical form of n can be cast to the target type v per
XPath Functions 3.1 section 19 Casting[xpath-functions]."
### Response:
def can_cast_to(v: Literal, dt: str) -> bool:
""" 5.4.3 Datatype Constraints
Determine whether "a value of the lexical form of n can be cast to the target type v per
XPath Functions 3.1 section 19 Casting[xpath-functions]."
"""
# TODO: rdflib doesn't appear to pay any attention to lengths (e.g. 257 is a valid XSD.byte)
return v.value is not None and Literal(str(v), datatype=dt).value is not None |
def tag(self, alt='', use_size=None, **attrs):
"""
Return a standard XHTML ``<img ... />`` tag for this field.
:param alt: The ``alt=""`` text for the tag. Defaults to ``''``.
:param use_size: Whether to get the size of the thumbnail image for use
in the tag attributes. If ``None`` (default), the size will only
be used it if won't result in a remote file retrieval.
All other keyword parameters are added as (properly escaped) extra
attributes to the `img` tag.
"""
if use_size is None:
if getattr(self, '_dimensions_cache', None):
use_size = True
else:
try:
self.storage.path(self.name)
use_size = True
except NotImplementedError:
use_size = False
attrs['alt'] = alt
attrs['src'] = self.url
if use_size:
attrs.update(dict(width=self.width, height=self.height))
attrs = ' '.join(['%s="%s"' % (key, escape(value))
for key, value in sorted(attrs.items())])
return mark_safe('<img %s />' % attrs) | Return a standard XHTML ``<img ... />`` tag for this field.
:param alt: The ``alt=""`` text for the tag. Defaults to ``''``.
:param use_size: Whether to get the size of the thumbnail image for use
in the tag attributes. If ``None`` (default), the size will only
be used it if won't result in a remote file retrieval.
All other keyword parameters are added as (properly escaped) extra
attributes to the `img` tag. | Below is the the instruction that describes the task:
### Input:
Return a standard XHTML ``<img ... />`` tag for this field.
:param alt: The ``alt=""`` text for the tag. Defaults to ``''``.
:param use_size: Whether to get the size of the thumbnail image for use
in the tag attributes. If ``None`` (default), the size will only
be used it if won't result in a remote file retrieval.
All other keyword parameters are added as (properly escaped) extra
attributes to the `img` tag.
### Response:
def tag(self, alt='', use_size=None, **attrs):
"""
Return a standard XHTML ``<img ... />`` tag for this field.
:param alt: The ``alt=""`` text for the tag. Defaults to ``''``.
:param use_size: Whether to get the size of the thumbnail image for use
in the tag attributes. If ``None`` (default), the size will only
be used it if won't result in a remote file retrieval.
All other keyword parameters are added as (properly escaped) extra
attributes to the `img` tag.
"""
if use_size is None:
if getattr(self, '_dimensions_cache', None):
use_size = True
else:
try:
self.storage.path(self.name)
use_size = True
except NotImplementedError:
use_size = False
attrs['alt'] = alt
attrs['src'] = self.url
if use_size:
attrs.update(dict(width=self.width, height=self.height))
attrs = ' '.join(['%s="%s"' % (key, escape(value))
for key, value in sorted(attrs.items())])
return mark_safe('<img %s />' % attrs) |
def exit_on_error(self, message, exit_code=1):
# pylint: disable=no-self-use
"""Log generic message when getting an error and exit
:param exit_code: if not None, exit with the provided value as exit code
:type exit_code: int
:param message: message for the exit reason
:type message: str
:return: None
"""
log = "I got an unrecoverable error. I have to exit."
if message:
log += "\n-----\nError message: %s" % message
print("Error message: %s" % message)
log += "-----\n"
log += "You can get help at https://github.com/Alignak-monitoring/alignak\n"
log += "If you think this is a bug, create a new issue including as much " \
"details as possible (version, configuration,...)"
if exit_code is not None:
exit(exit_code) | Log generic message when getting an error and exit
:param exit_code: if not None, exit with the provided value as exit code
:type exit_code: int
:param message: message for the exit reason
:type message: str
:return: None | Below is the the instruction that describes the task:
### Input:
Log generic message when getting an error and exit
:param exit_code: if not None, exit with the provided value as exit code
:type exit_code: int
:param message: message for the exit reason
:type message: str
:return: None
### Response:
def exit_on_error(self, message, exit_code=1):
# pylint: disable=no-self-use
"""Log generic message when getting an error and exit
:param exit_code: if not None, exit with the provided value as exit code
:type exit_code: int
:param message: message for the exit reason
:type message: str
:return: None
"""
log = "I got an unrecoverable error. I have to exit."
if message:
log += "\n-----\nError message: %s" % message
print("Error message: %s" % message)
log += "-----\n"
log += "You can get help at https://github.com/Alignak-monitoring/alignak\n"
log += "If you think this is a bug, create a new issue including as much " \
"details as possible (version, configuration,...)"
if exit_code is not None:
exit(exit_code) |
def assemble_cx():
"""Assemble INDRA Statements and return CX network json."""
if request.method == 'OPTIONS':
return {}
response = request.body.read().decode('utf-8')
body = json.loads(response)
stmts_json = body.get('statements')
stmts = stmts_from_json(stmts_json)
ca = CxAssembler(stmts)
model_str = ca.make_model()
res = {'model': model_str}
return res | Assemble INDRA Statements and return CX network json. | Below is the the instruction that describes the task:
### Input:
Assemble INDRA Statements and return CX network json.
### Response:
def assemble_cx():
"""Assemble INDRA Statements and return CX network json."""
if request.method == 'OPTIONS':
return {}
response = request.body.read().decode('utf-8')
body = json.loads(response)
stmts_json = body.get('statements')
stmts = stmts_from_json(stmts_json)
ca = CxAssembler(stmts)
model_str = ca.make_model()
res = {'model': model_str}
return res |
def get_nodes(self, request):
"""
This method is used to build the menu tree.
"""
nodes = []
for shiny_app in ShinyApp.objects.all():
node = NavigationNode(
shiny_app.name,
reverse('cms_shiny:shiny_detail', args=(shiny_app.slug,)),
shiny_app.slug
)
nodes.append(node)
return nodes | This method is used to build the menu tree. | Below is the the instruction that describes the task:
### Input:
This method is used to build the menu tree.
### Response:
def get_nodes(self, request):
"""
This method is used to build the menu tree.
"""
nodes = []
for shiny_app in ShinyApp.objects.all():
node = NavigationNode(
shiny_app.name,
reverse('cms_shiny:shiny_detail', args=(shiny_app.slug,)),
shiny_app.slug
)
nodes.append(node)
return nodes |
def reset( self ):
"""
Resets the user interface buttons for this widget.
"""
# clear previous widgets
for btn in self.findChildren(QToolButton):
btn.close()
btn.setParent(None)
btn.deleteLater()
# determine coloring options
palette = self.palette()
unchecked = palette.color(palette.Button)
# determine if this is a dark or light scheme
avg = (unchecked.red() + unchecked.green() + unchecked.blue()) / 3.0
if ( avg < 140 ):
checked = unchecked.lighter(115)
checked_clr = self.colorString(unchecked.lighter(120))
border_clr = self.colorString(unchecked.darker(140))
unchecked_clr = self.colorString(checked.lighter(140))
unchecked_clr_alt = self.colorString(checked.lighter(120))
checked_clr_alt = self.colorString(unchecked)
else:
checked = unchecked.lighter(120)
checked_clr = self.colorString(unchecked)
border_clr = self.colorString(unchecked.darker(160))
unchecked_clr = self.colorString(checked)
unchecked_clr_alt = self.colorString(checked.darker(130))
checked_clr_alt = self.colorString(unchecked.darker(120))
# define the stylesheet options
options = {}
options['top_left_radius'] = 0
options['top_right_radius'] = 0
options['bot_left_radius'] = 0
options['bot_right_radius'] = 0
options['border_color'] = border_clr
options['checked_clr'] = checked_clr
options['checked_clr_alt'] = checked_clr_alt
options['unchecked_clr'] = unchecked_clr
options['unchecked_clr_alt'] = unchecked_clr_alt
options['padding_top'] = 1
options['padding_bottom'] = 1
options['padding_left'] = 1
options['padding_right'] = 1
horiz = self.direction() in (QBoxLayout.LeftToRight,
QBoxLayout.RightToLeft)
if ( horiz ):
options['x1'] = 0
options['y1'] = 0
options['x2'] = 0
options['y2'] = 1
else:
options['x1'] = 0
options['y1'] = 0
options['x2'] = 1
options['y2'] = 1
actions = self.actionGroup().actions()
count = len(actions)
for i, action in enumerate(actions):
btn = QToolButton(self)
btn.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Preferred)
btn.setDefaultAction(action)
self.layout().insertWidget(i, btn)
options['top_left_radius'] = 1
options['bot_left_radius'] = 1
options['top_right_radius'] = 1
options['bot_right_radius'] = 1
if ( horiz ):
options['padding_left'] = self._padding
options['padding_right'] = self._padding
else:
options['padding_top'] = self._padding
options['padding_bottom'] = self._padding
if ( not i ):
if ( horiz ):
options['top_left_radius'] = self.cornerRadius()
options['bot_left_radius'] = self.cornerRadius()
options['padding_left'] += self.cornerRadius() / 3.0
else:
options['top_left_radius'] = self.cornerRadius()
options['top_right_radius'] = self.cornerRadius()
options['padding_top'] += self.cornerRadius() / 3.0
elif ( i == count - 1 ):
if ( horiz ):
options['top_right_radius'] = self.cornerRadius()
options['bot_right_radius'] = self.cornerRadius()
options['padding_right'] += self.cornerRadius() / 3.0
else:
options['bot_left_radius'] = self.cornerRadius()
options['bot_right_radius'] = self.cornerRadius()
options['padding_bottom'] += self.cornerRadius() / 3.0
btn.setStyleSheet(TOOLBUTTON_STYLE % options)
btn.setAutoFillBackground(True) | Resets the user interface buttons for this widget. | Below is the the instruction that describes the task:
### Input:
Resets the user interface buttons for this widget.
### Response:
def reset( self ):
"""
Resets the user interface buttons for this widget.
"""
# clear previous widgets
for btn in self.findChildren(QToolButton):
btn.close()
btn.setParent(None)
btn.deleteLater()
# determine coloring options
palette = self.palette()
unchecked = palette.color(palette.Button)
# determine if this is a dark or light scheme
avg = (unchecked.red() + unchecked.green() + unchecked.blue()) / 3.0
if ( avg < 140 ):
checked = unchecked.lighter(115)
checked_clr = self.colorString(unchecked.lighter(120))
border_clr = self.colorString(unchecked.darker(140))
unchecked_clr = self.colorString(checked.lighter(140))
unchecked_clr_alt = self.colorString(checked.lighter(120))
checked_clr_alt = self.colorString(unchecked)
else:
checked = unchecked.lighter(120)
checked_clr = self.colorString(unchecked)
border_clr = self.colorString(unchecked.darker(160))
unchecked_clr = self.colorString(checked)
unchecked_clr_alt = self.colorString(checked.darker(130))
checked_clr_alt = self.colorString(unchecked.darker(120))
# define the stylesheet options
options = {}
options['top_left_radius'] = 0
options['top_right_radius'] = 0
options['bot_left_radius'] = 0
options['bot_right_radius'] = 0
options['border_color'] = border_clr
options['checked_clr'] = checked_clr
options['checked_clr_alt'] = checked_clr_alt
options['unchecked_clr'] = unchecked_clr
options['unchecked_clr_alt'] = unchecked_clr_alt
options['padding_top'] = 1
options['padding_bottom'] = 1
options['padding_left'] = 1
options['padding_right'] = 1
horiz = self.direction() in (QBoxLayout.LeftToRight,
QBoxLayout.RightToLeft)
if ( horiz ):
options['x1'] = 0
options['y1'] = 0
options['x2'] = 0
options['y2'] = 1
else:
options['x1'] = 0
options['y1'] = 0
options['x2'] = 1
options['y2'] = 1
actions = self.actionGroup().actions()
count = len(actions)
for i, action in enumerate(actions):
btn = QToolButton(self)
btn.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Preferred)
btn.setDefaultAction(action)
self.layout().insertWidget(i, btn)
options['top_left_radius'] = 1
options['bot_left_radius'] = 1
options['top_right_radius'] = 1
options['bot_right_radius'] = 1
if ( horiz ):
options['padding_left'] = self._padding
options['padding_right'] = self._padding
else:
options['padding_top'] = self._padding
options['padding_bottom'] = self._padding
if ( not i ):
if ( horiz ):
options['top_left_radius'] = self.cornerRadius()
options['bot_left_radius'] = self.cornerRadius()
options['padding_left'] += self.cornerRadius() / 3.0
else:
options['top_left_radius'] = self.cornerRadius()
options['top_right_radius'] = self.cornerRadius()
options['padding_top'] += self.cornerRadius() / 3.0
elif ( i == count - 1 ):
if ( horiz ):
options['top_right_radius'] = self.cornerRadius()
options['bot_right_radius'] = self.cornerRadius()
options['padding_right'] += self.cornerRadius() / 3.0
else:
options['bot_left_radius'] = self.cornerRadius()
options['bot_right_radius'] = self.cornerRadius()
options['padding_bottom'] += self.cornerRadius() / 3.0
btn.setStyleSheet(TOOLBUTTON_STYLE % options)
btn.setAutoFillBackground(True) |
def multiget_slice(self, keys, column_parent, predicate, consistency_level):
"""
Performs a get_slice for column_parent and predicate for the given keys in parallel.
Parameters:
- keys
- column_parent
- predicate
- consistency_level
"""
self._seqid += 1
d = self._reqs[self._seqid] = defer.Deferred()
self.send_multiget_slice(keys, column_parent, predicate, consistency_level)
return d | Performs a get_slice for column_parent and predicate for the given keys in parallel.
Parameters:
- keys
- column_parent
- predicate
- consistency_level | Below is the the instruction that describes the task:
### Input:
Performs a get_slice for column_parent and predicate for the given keys in parallel.
Parameters:
- keys
- column_parent
- predicate
- consistency_level
### Response:
def multiget_slice(self, keys, column_parent, predicate, consistency_level):
"""
Performs a get_slice for column_parent and predicate for the given keys in parallel.
Parameters:
- keys
- column_parent
- predicate
- consistency_level
"""
self._seqid += 1
d = self._reqs[self._seqid] = defer.Deferred()
self.send_multiget_slice(keys, column_parent, predicate, consistency_level)
return d |
def options(self, parser, env=None):
"""
Sphinx config file that can optionally take the following python
template string arguments:
``database_name``
``database_password``
``database_username``
``database_host``
``database_port``
``sphinx_search_data_dir``
``searchd_log_dir``
"""
if env is None:
env = os.environ
parser.add_option(
'--sphinx-config-tpl',
help='Path to the Sphinx configuration file template.',
)
super(SphinxSearchPlugin, self).options(parser, env) | Sphinx config file that can optionally take the following python
template string arguments:
``database_name``
``database_password``
``database_username``
``database_host``
``database_port``
``sphinx_search_data_dir``
``searchd_log_dir`` | Below is the the instruction that describes the task:
### Input:
Sphinx config file that can optionally take the following python
template string arguments:
``database_name``
``database_password``
``database_username``
``database_host``
``database_port``
``sphinx_search_data_dir``
``searchd_log_dir``
### Response:
def options(self, parser, env=None):
"""
Sphinx config file that can optionally take the following python
template string arguments:
``database_name``
``database_password``
``database_username``
``database_host``
``database_port``
``sphinx_search_data_dir``
``searchd_log_dir``
"""
if env is None:
env = os.environ
parser.add_option(
'--sphinx-config-tpl',
help='Path to the Sphinx configuration file template.',
)
super(SphinxSearchPlugin, self).options(parser, env) |
def lock(self, lock_name, timeout=900):
"""
Attempt to use lock and unlock, which will work if the Cache is Redis,
but fall back to a memcached-compliant add/delete approach.
If the Jobtastic Cache isn't Redis or Memcache, or another product
with a compatible lock or add/delete API, then a custom locking function
will be required. However, Redis and Memcache are expected to account for
the vast majority of installations.
See:
- http://loose-bits.com/2010/10/distributed-task-locking-in-celery.html
- http://celery.readthedocs.org/en/latest/tutorials/task-cookbook.html#ensuring-a-task-is-only-executed-one-at-a-time # NOQA
"""
# Try Redis first
try:
try:
lock = self.cache.lock
except AttributeError:
try:
# Possibly using old Django-Redis
lock = self.cache.client.lock
except AttributeError:
# Possibly using Werkzeug + Redis
lock = self.cache._client.lock
have_lock = False
lock = lock(lock_name, timeout=timeout)
try:
have_lock = lock.acquire(blocking=True)
if have_lock:
yield
finally:
if have_lock:
lock.release()
except AttributeError:
# No lock method on the cache, so fall back to add
have_lock = False
try:
while not have_lock:
have_lock = self.cache.add(lock_name, 'locked', timeout)
if have_lock:
yield
finally:
if have_lock:
self.cache.delete(lock_name) | Attempt to use lock and unlock, which will work if the Cache is Redis,
but fall back to a memcached-compliant add/delete approach.
If the Jobtastic Cache isn't Redis or Memcache, or another product
with a compatible lock or add/delete API, then a custom locking function
will be required. However, Redis and Memcache are expected to account for
the vast majority of installations.
See:
- http://loose-bits.com/2010/10/distributed-task-locking-in-celery.html
- http://celery.readthedocs.org/en/latest/tutorials/task-cookbook.html#ensuring-a-task-is-only-executed-one-at-a-time # NOQA | Below is the the instruction that describes the task:
### Input:
Attempt to use lock and unlock, which will work if the Cache is Redis,
but fall back to a memcached-compliant add/delete approach.
If the Jobtastic Cache isn't Redis or Memcache, or another product
with a compatible lock or add/delete API, then a custom locking function
will be required. However, Redis and Memcache are expected to account for
the vast majority of installations.
See:
- http://loose-bits.com/2010/10/distributed-task-locking-in-celery.html
- http://celery.readthedocs.org/en/latest/tutorials/task-cookbook.html#ensuring-a-task-is-only-executed-one-at-a-time # NOQA
### Response:
def lock(self, lock_name, timeout=900):
"""
Attempt to use lock and unlock, which will work if the Cache is Redis,
but fall back to a memcached-compliant add/delete approach.
If the Jobtastic Cache isn't Redis or Memcache, or another product
with a compatible lock or add/delete API, then a custom locking function
will be required. However, Redis and Memcache are expected to account for
the vast majority of installations.
See:
- http://loose-bits.com/2010/10/distributed-task-locking-in-celery.html
- http://celery.readthedocs.org/en/latest/tutorials/task-cookbook.html#ensuring-a-task-is-only-executed-one-at-a-time # NOQA
"""
# Try Redis first
try:
try:
lock = self.cache.lock
except AttributeError:
try:
# Possibly using old Django-Redis
lock = self.cache.client.lock
except AttributeError:
# Possibly using Werkzeug + Redis
lock = self.cache._client.lock
have_lock = False
lock = lock(lock_name, timeout=timeout)
try:
have_lock = lock.acquire(blocking=True)
if have_lock:
yield
finally:
if have_lock:
lock.release()
except AttributeError:
# No lock method on the cache, so fall back to add
have_lock = False
try:
while not have_lock:
have_lock = self.cache.add(lock_name, 'locked', timeout)
if have_lock:
yield
finally:
if have_lock:
self.cache.delete(lock_name) |
def from_api_repr(cls, resource, client):
"""Factory: construct a job given its API representation
.. note:
This method assumes that the project found in the resource matches
the client's project.
:type resource: dict
:param resource: dataset job representation returned from the API
:type client: :class:`google.cloud.bigquery.client.Client`
:param client: Client which holds credentials and project
configuration for the dataset.
:rtype: :class:`google.cloud.bigquery.job.CopyJob`
:returns: Job parsed from ``resource``.
"""
job_id, config_resource = cls._get_resource_config(resource)
config = CopyJobConfig.from_api_repr(config_resource)
# Copy required fields to the job.
copy_resource = config_resource["copy"]
destination = TableReference.from_api_repr(copy_resource["destinationTable"])
sources = []
source_configs = copy_resource.get("sourceTables")
if source_configs is None:
single = copy_resource.get("sourceTable")
if single is None:
raise KeyError("Resource missing 'sourceTables' / 'sourceTable'")
source_configs = [single]
for source_config in source_configs:
table_ref = TableReference.from_api_repr(source_config)
sources.append(table_ref)
job = cls(job_id, sources, destination, client=client, job_config=config)
job._set_properties(resource)
return job | Factory: construct a job given its API representation
.. note:
This method assumes that the project found in the resource matches
the client's project.
:type resource: dict
:param resource: dataset job representation returned from the API
:type client: :class:`google.cloud.bigquery.client.Client`
:param client: Client which holds credentials and project
configuration for the dataset.
:rtype: :class:`google.cloud.bigquery.job.CopyJob`
:returns: Job parsed from ``resource``. | Below is the the instruction that describes the task:
### Input:
Factory: construct a job given its API representation
.. note:
This method assumes that the project found in the resource matches
the client's project.
:type resource: dict
:param resource: dataset job representation returned from the API
:type client: :class:`google.cloud.bigquery.client.Client`
:param client: Client which holds credentials and project
configuration for the dataset.
:rtype: :class:`google.cloud.bigquery.job.CopyJob`
:returns: Job parsed from ``resource``.
### Response:
def from_api_repr(cls, resource, client):
"""Factory: construct a job given its API representation
.. note:
This method assumes that the project found in the resource matches
the client's project.
:type resource: dict
:param resource: dataset job representation returned from the API
:type client: :class:`google.cloud.bigquery.client.Client`
:param client: Client which holds credentials and project
configuration for the dataset.
:rtype: :class:`google.cloud.bigquery.job.CopyJob`
:returns: Job parsed from ``resource``.
"""
job_id, config_resource = cls._get_resource_config(resource)
config = CopyJobConfig.from_api_repr(config_resource)
# Copy required fields to the job.
copy_resource = config_resource["copy"]
destination = TableReference.from_api_repr(copy_resource["destinationTable"])
sources = []
source_configs = copy_resource.get("sourceTables")
if source_configs is None:
single = copy_resource.get("sourceTable")
if single is None:
raise KeyError("Resource missing 'sourceTables' / 'sourceTable'")
source_configs = [single]
for source_config in source_configs:
table_ref = TableReference.from_api_repr(source_config)
sources.append(table_ref)
job = cls(job_id, sources, destination, client=client, job_config=config)
job._set_properties(resource)
return job |
def get_plugins_by_feature(features):
"""
Returns a list of plugin names where the plugins implement at least one of
the *features*. *features* must a list of Plugin methods, e.g.
[Plugin.postprocess_testrun, Plugin.postprocess_testjob]
"""
if not features:
return get_all_plugins()
plugins = PluginLoader.load_all().items()
names = set([f.__name__ for f in features])
return [e for e, plugin in plugins if names & set(plugin.__dict__.keys())] | Returns a list of plugin names where the plugins implement at least one of
the *features*. *features* must a list of Plugin methods, e.g.
[Plugin.postprocess_testrun, Plugin.postprocess_testjob] | Below is the the instruction that describes the task:
### Input:
Returns a list of plugin names where the plugins implement at least one of
the *features*. *features* must a list of Plugin methods, e.g.
[Plugin.postprocess_testrun, Plugin.postprocess_testjob]
### Response:
def get_plugins_by_feature(features):
"""
Returns a list of plugin names where the plugins implement at least one of
the *features*. *features* must a list of Plugin methods, e.g.
[Plugin.postprocess_testrun, Plugin.postprocess_testjob]
"""
if not features:
return get_all_plugins()
plugins = PluginLoader.load_all().items()
names = set([f.__name__ for f in features])
return [e for e, plugin in plugins if names & set(plugin.__dict__.keys())] |
def unit_conversion(current, desired):
"""
Calculate the conversion from one set of units to another.
Parameters
---------
current : str
Unit system values are in now (eg 'millimeters')
desired : str
Unit system we'd like values in (eg 'inches')
Returns
---------
conversion : float
Number to multiply by to put values into desired units
"""
current = str(current).strip().lower()
desired = str(desired).strip().lower()
conversion = TO_INCH[current] / TO_INCH[desired]
return conversion | Calculate the conversion from one set of units to another.
Parameters
---------
current : str
Unit system values are in now (eg 'millimeters')
desired : str
Unit system we'd like values in (eg 'inches')
Returns
---------
conversion : float
Number to multiply by to put values into desired units | Below is the the instruction that describes the task:
### Input:
Calculate the conversion from one set of units to another.
Parameters
---------
current : str
Unit system values are in now (eg 'millimeters')
desired : str
Unit system we'd like values in (eg 'inches')
Returns
---------
conversion : float
Number to multiply by to put values into desired units
### Response:
def unit_conversion(current, desired):
"""
Calculate the conversion from one set of units to another.
Parameters
---------
current : str
Unit system values are in now (eg 'millimeters')
desired : str
Unit system we'd like values in (eg 'inches')
Returns
---------
conversion : float
Number to multiply by to put values into desired units
"""
current = str(current).strip().lower()
desired = str(desired).strip().lower()
conversion = TO_INCH[current] / TO_INCH[desired]
return conversion |
def factorize(self):
"""Do factorization s.t. data = dot(dot(data,beta),H), under the convexity constraint
beta >=0, sum(beta)=1, H >=0, sum(H)=1
"""
# compute new coefficients for reconstructing data points
self.update_w()
# for CHNMF it is sometimes useful to only compute
# the basis vectors
if self._compute_h:
self.update_h()
self.W = self.mdl.W
self.H = self.mdl.H
self.ferr = np.zeros(1)
self.ferr[0] = self.mdl.frobenius_norm()
self._print_cur_status(' Fro:' + str(self.ferr[0])) | Do factorization s.t. data = dot(dot(data,beta),H), under the convexity constraint
beta >=0, sum(beta)=1, H >=0, sum(H)=1 | Below is the the instruction that describes the task:
### Input:
Do factorization s.t. data = dot(dot(data,beta),H), under the convexity constraint
beta >=0, sum(beta)=1, H >=0, sum(H)=1
### Response:
def factorize(self):
"""Do factorization s.t. data = dot(dot(data,beta),H), under the convexity constraint
beta >=0, sum(beta)=1, H >=0, sum(H)=1
"""
# compute new coefficients for reconstructing data points
self.update_w()
# for CHNMF it is sometimes useful to only compute
# the basis vectors
if self._compute_h:
self.update_h()
self.W = self.mdl.W
self.H = self.mdl.H
self.ferr = np.zeros(1)
self.ferr[0] = self.mdl.frobenius_norm()
self._print_cur_status(' Fro:' + str(self.ferr[0])) |
def main(sleep_length=0.1):
"""Log to stdout using python logging in a while loop"""
log = logging.getLogger('sip.examples.log_spammer')
log.info('Starting to spam log messages every %fs', sleep_length)
counter = 0
try:
while True:
log.info('Hello %06i (log_spammer: %s, sip logging: %s)',
counter, _version.__version__, __version__)
counter += 1
time.sleep(sleep_length)
except KeyboardInterrupt:
log.info('Exiting...') | Log to stdout using python logging in a while loop | Below is the the instruction that describes the task:
### Input:
Log to stdout using python logging in a while loop
### Response:
def main(sleep_length=0.1):
"""Log to stdout using python logging in a while loop"""
log = logging.getLogger('sip.examples.log_spammer')
log.info('Starting to spam log messages every %fs', sleep_length)
counter = 0
try:
while True:
log.info('Hello %06i (log_spammer: %s, sip logging: %s)',
counter, _version.__version__, __version__)
counter += 1
time.sleep(sleep_length)
except KeyboardInterrupt:
log.info('Exiting...') |
def build_groups(self, tokens):
"""Build dict of groups from list of tokens"""
groups = {}
for token in tokens:
match_type = MatchType.start if token.group_end else MatchType.single
groups[token.group_start] = (token, match_type)
if token.group_end:
groups[token.group_end] = (token, MatchType.end)
return groups | Build dict of groups from list of tokens | Below is the the instruction that describes the task:
### Input:
Build dict of groups from list of tokens
### Response:
def build_groups(self, tokens):
"""Build dict of groups from list of tokens"""
groups = {}
for token in tokens:
match_type = MatchType.start if token.group_end else MatchType.single
groups[token.group_start] = (token, match_type)
if token.group_end:
groups[token.group_end] = (token, MatchType.end)
return groups |
def keywords(text, cloud=None, batch=False, api_key=None, version=2, batch_size=None, **kwargs):
"""
Given input text, returns series of keywords and associated scores
Example usage:
.. code-block:: python
>>> import indicoio
>>> import numpy as np
>>> text = 'Monday: Delightful with mostly sunny skies. Highs in the low 70s.'
>>> keywords = indicoio.keywords(text, top_n=3)
>>> print "The keywords are: "+str(keywords.keys())
u'The keywords are ['delightful', 'highs', 'skies']
:param text: The text to be analyzed.
:type text: str or unicode
:rtype: Dictionary of feature score pairs
"""
if kwargs.get("language", "english") != "english":
version = 1
url_params = {"batch": batch, "api_key": api_key, "version": version}
return api_handler(text, cloud=cloud, api="keywords", url_params=url_params, batch_size=batch_size, **kwargs) | Given input text, returns series of keywords and associated scores
Example usage:
.. code-block:: python
>>> import indicoio
>>> import numpy as np
>>> text = 'Monday: Delightful with mostly sunny skies. Highs in the low 70s.'
>>> keywords = indicoio.keywords(text, top_n=3)
>>> print "The keywords are: "+str(keywords.keys())
u'The keywords are ['delightful', 'highs', 'skies']
:param text: The text to be analyzed.
:type text: str or unicode
:rtype: Dictionary of feature score pairs | Below is the the instruction that describes the task:
### Input:
Given input text, returns series of keywords and associated scores
Example usage:
.. code-block:: python
>>> import indicoio
>>> import numpy as np
>>> text = 'Monday: Delightful with mostly sunny skies. Highs in the low 70s.'
>>> keywords = indicoio.keywords(text, top_n=3)
>>> print "The keywords are: "+str(keywords.keys())
u'The keywords are ['delightful', 'highs', 'skies']
:param text: The text to be analyzed.
:type text: str or unicode
:rtype: Dictionary of feature score pairs
### Response:
def keywords(text, cloud=None, batch=False, api_key=None, version=2, batch_size=None, **kwargs):
"""
Given input text, returns series of keywords and associated scores
Example usage:
.. code-block:: python
>>> import indicoio
>>> import numpy as np
>>> text = 'Monday: Delightful with mostly sunny skies. Highs in the low 70s.'
>>> keywords = indicoio.keywords(text, top_n=3)
>>> print "The keywords are: "+str(keywords.keys())
u'The keywords are ['delightful', 'highs', 'skies']
:param text: The text to be analyzed.
:type text: str or unicode
:rtype: Dictionary of feature score pairs
"""
if kwargs.get("language", "english") != "english":
version = 1
url_params = {"batch": batch, "api_key": api_key, "version": version}
return api_handler(text, cloud=cloud, api="keywords", url_params=url_params, batch_size=batch_size, **kwargs) |
def extract_name_from_job_arn(arn):
"""Returns the name used in the API given a full ARN for a training job
or hyperparameter tuning job.
"""
slash_pos = arn.find('/')
if slash_pos == -1:
raise ValueError("Cannot parse invalid ARN: %s" % arn)
return arn[(slash_pos + 1):] | Returns the name used in the API given a full ARN for a training job
or hyperparameter tuning job. | Below is the the instruction that describes the task:
### Input:
Returns the name used in the API given a full ARN for a training job
or hyperparameter tuning job.
### Response:
def extract_name_from_job_arn(arn):
"""Returns the name used in the API given a full ARN for a training job
or hyperparameter tuning job.
"""
slash_pos = arn.find('/')
if slash_pos == -1:
raise ValueError("Cannot parse invalid ARN: %s" % arn)
return arn[(slash_pos + 1):] |
def libvlc_audio_set_mute(p_mi, status):
'''Set mute status.
@param p_mi: media player.
@param status: If status is true then mute, otherwise unmute @warning This function does not always work. If there are no active audio playback stream, the mute status might not be available. If digital pass-through (S/PDIF, HDMI...) is in use, muting may be unapplicable. Also some audio output plugins do not support muting at all. @note To force silent playback, disable all audio tracks. This is more efficient and reliable than mute.
'''
f = _Cfunctions.get('libvlc_audio_set_mute', None) or \
_Cfunction('libvlc_audio_set_mute', ((1,), (1,),), None,
None, MediaPlayer, ctypes.c_int)
return f(p_mi, status) | Set mute status.
@param p_mi: media player.
@param status: If status is true then mute, otherwise unmute @warning This function does not always work. If there are no active audio playback stream, the mute status might not be available. If digital pass-through (S/PDIF, HDMI...) is in use, muting may be unapplicable. Also some audio output plugins do not support muting at all. @note To force silent playback, disable all audio tracks. This is more efficient and reliable than mute. | Below is the the instruction that describes the task:
### Input:
Set mute status.
@param p_mi: media player.
@param status: If status is true then mute, otherwise unmute @warning This function does not always work. If there are no active audio playback stream, the mute status might not be available. If digital pass-through (S/PDIF, HDMI...) is in use, muting may be unapplicable. Also some audio output plugins do not support muting at all. @note To force silent playback, disable all audio tracks. This is more efficient and reliable than mute.
### Response:
def libvlc_audio_set_mute(p_mi, status):
'''Set mute status.
@param p_mi: media player.
@param status: If status is true then mute, otherwise unmute @warning This function does not always work. If there are no active audio playback stream, the mute status might not be available. If digital pass-through (S/PDIF, HDMI...) is in use, muting may be unapplicable. Also some audio output plugins do not support muting at all. @note To force silent playback, disable all audio tracks. This is more efficient and reliable than mute.
'''
f = _Cfunctions.get('libvlc_audio_set_mute', None) or \
_Cfunction('libvlc_audio_set_mute', ((1,), (1,),), None,
None, MediaPlayer, ctypes.c_int)
return f(p_mi, status) |
Subsets and Splits