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train | BaseGlooFunctions.flush | Flush GL commands
This is a wrapper for glFlush(). This also flushes the GLIR
command queue. | glue_vispy_viewers/extern/vispy/gloo/wrappers.py | def flush(self):
"""Flush GL commands
This is a wrapper for glFlush(). This also flushes the GLIR
command queue.
"""
if hasattr(self, 'flush_commands'):
context = self
else:
context = get_current_canvas().context
context.glir.command('... | def flush(self):
"""Flush GL commands
This is a wrapper for glFlush(). This also flushes the GLIR
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"""
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train | BaseGlooFunctions.set_hint | Set OpenGL drawing hint
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target : str
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mode : str
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Parameters
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target : str
The target, e.g. 'fog_hint', 'line_smooth_hint',
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mode : str
The mode to set (e.g., 'fastest', 'nicest', 'dont_care').
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"""Set OpenGL drawing hint
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target : str
The target, e.g. 'fog_hint', 'line_smooth_hint',
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""" The GLIR queue corresponding to the current canvas
"""
canvas = get_current_canvas()
if canvas is None:
msg = ("If you want to use gloo without vispy.app, " +
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""" The GLIR queue corresponding to the current canvas
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train | use_gl | Let Vispy use the target OpenGL ES 2.0 implementation
Also see ``vispy.use()``.
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target : str
The target GL backend to use.
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""" Let Vispy use the target OpenGL ES 2.0 implementation
Also see ``vispy.use()``.
Parameters
----------
target : str
The target GL backend to use.
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train | _clear_namespace | Clear names that are not part of the strict ES API | glue_vispy_viewers/extern/vispy/gloo/gl/__init__.py | def _clear_namespace():
""" Clear names that are not part of the strict ES API
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train | _copy_gl_functions | Inject all objects that start with 'gl' from the source
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# Get dicts
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train | check_error | Check this from time to time to detect GL errors.
Parameters
----------
when : str
Shown in the exception to help the developer determine when
this check was done. | glue_vispy_viewers/extern/vispy/gloo/gl/__init__.py | def check_error(when='periodic check'):
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Parameters
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when : str
Shown in the exception to help the developer determine when
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train | DebugProxy._arg_repr | Get a useful (and not too large) represetation of an argument. | glue_vispy_viewers/extern/vispy/gloo/gl/__init__.py | def _arg_repr(self, arg):
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train | IsocurveVisual.set_data | Set the scalar array data
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data : ndarray
A 2D array of scalar values. The isocurve is constructed to show
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data : ndarray
A 2D array of scalar values. The isocurve is constructed to show
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train | IsocurveVisual._get_verts_and_connect | retrieve vertices and connects from given paths-list | glue_vispy_viewers/extern/vispy/visuals/isocurve.py | def _get_verts_and_connect(self, paths):
""" retrieve vertices and connects from given paths-list
"""
verts = np.vstack(paths)
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connect[gaps[:-1]] = False
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train | IsocurveVisual._compute_iso_line | compute LineVisual vertices, connects and color-index | glue_vispy_viewers/extern/vispy/visuals/isocurve.py | def _compute_iso_line(self):
""" compute LineVisual vertices, connects and color-index
"""
level_index = []
connects = []
verts = []
# calculate which level are within data range
# this works for now and the existing examples, but should be tested
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level_index = []
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train | EventEmitter.connect | Connect this emitter to a new callback.
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*callback* may be either a callable object or a tuple
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"""Connect this emitter to a new callback.
Parameters
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callback : function | tuple
*callback* may be either a callable object or a tuple
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train | EventEmitter.disconnect | Disconnect a callback from this emitter.
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... | def block(self, callback=None):
"""Block this emitter. Any attempts to emit an event while blocked
will be silently ignored. If *callback* is given, then the emitter
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train | EventEmitter.unblock | Unblock this emitter. See :func:`event.EventEmitter.block`.
Note: Use of ``unblock(None)`` only reverses the effect of
``block(None)``; it does not unblock callbacks that were explicitly
blocked using ``block(callback)``. | glue_vispy_viewers/extern/vispy/util/event.py | def unblock(self, callback=None):
""" Unblock this emitter. See :func:`event.EventEmitter.block`.
Note: Use of ``unblock(None)`` only reverses the effect of
``block(None)``; it does not unblock callbacks that were explicitly
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"""
... | def unblock(self, callback=None):
""" Unblock this emitter. See :func:`event.EventEmitter.block`.
Note: Use of ``unblock(None)`` only reverses the effect of
``block(None)``; it does not unblock callbacks that were explicitly
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train | EmitterGroup.add | Add one or more EventEmitter instances to this emitter group.
Each keyword argument may be specified as either an EventEmitter
instance or an Event subclass, in which case an EventEmitter will be
generated automatically::
# This statement:
group.add(mouse_press=MouseEven... | glue_vispy_viewers/extern/vispy/util/event.py | def add(self, auto_connect=None, **kwargs):
""" Add one or more EventEmitter instances to this emitter group.
Each keyword argument may be specified as either an EventEmitter
instance or an Event subclass, in which case an EventEmitter will be
generated automatically::
# Thi... | def add(self, auto_connect=None, **kwargs):
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Each keyword argument may be specified as either an EventEmitter
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train | EmitterGroup.block_all | Block all emitters in this group. | glue_vispy_viewers/extern/vispy/util/event.py | def block_all(self):
""" Block all emitters in this group.
"""
self.block()
for em in self._emitters.values():
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""" Block all emitters in this group.
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train | EmitterGroup.unblock_all | Unblock all emitters in this group. | glue_vispy_viewers/extern/vispy/util/event.py | def unblock_all(self):
""" Unblock all emitters in this group.
"""
self.unblock()
for em in self._emitters.values():
em.unblock() | def unblock_all(self):
""" Unblock all emitters in this group.
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self.unblock()
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train | EmitterGroup.connect | Connect the callback to the event group. The callback will receive
events from *all* of the emitters in the group.
See :func:`EventEmitter.connect() <vispy.event.EventEmitter.connect>`
for arguments. | glue_vispy_viewers/extern/vispy/util/event.py | def connect(self, callback, ref=False, position='first',
before=None, after=None):
""" Connect the callback to the event group. The callback will receive
events from *all* of the emitters in the group.
See :func:`EventEmitter.connect() <vispy.event.EventEmitter.connect>`
... | def connect(self, callback, ref=False, position='first',
before=None, after=None):
""" Connect the callback to the event group. The callback will receive
events from *all* of the emitters in the group.
See :func:`EventEmitter.connect() <vispy.event.EventEmitter.connect>`
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train | EmitterGroup.disconnect | Disconnect the callback from this group. See
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:func:`EventEmitter.connect() <vispy.event.EventEmitter.connect>` for
more information. | glue_vispy_viewers/extern/vispy/util/event.py | def disconnect(self, callback=None):
""" Disconnect the callback from this group. See
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:func:`EventEmitter.connect() <vispy.event.EventEmitter.connect>` for
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"""
ret = EventEmitter.disconnect(self, c... | def disconnect(self, callback=None):
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train | validate_input_format | TODO add handling for bad input | ask/write_sample.py | def validate_input_format(utterance, intent):
""" TODO add handling for bad input"""
slots = {slot["name"] for slot in intent["slots"]}
split_utt = re.split("{(.*)}", utterance)
banned = set("-/\\()^%$#@~`-_=+><;:") # Banned characters
for token in split_utt:
if (banned & set(token)):
... | def validate_input_format(utterance, intent):
""" TODO add handling for bad input"""
slots = {slot["name"] for slot in intent["slots"]}
split_utt = re.split("{(.*)}", utterance)
banned = set("-/\\()^%$#@~`-_=+><;:") # Banned characters
for token in split_utt:
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train | isosurface | Generate isosurface from volumetric data using marching cubes algorithm.
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*data* 3D numpy array of scalar values
*level* The level at which to generate an isosurface
Returns an array of vertex c... | glue_vispy_viewers/extern/vispy/geometry/isosurface.py | def isosurface(data, level):
"""
Generate isosurface from volumetric data using marching cubes algorithm.
See Paul Bourke, "Polygonising a Scalar Field"
(http://paulbourke.net/geometry/polygonise/)
*data* 3D numpy array of scalar values
*level* The level at which to generate an isosurf... | def isosurface(data, level):
"""
Generate isosurface from volumetric data using marching cubes algorithm.
See Paul Bourke, "Polygonising a Scalar Field"
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train | _extract_buffers | Extract all data buffers from the list of GLIR commands, and replace
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# of GILR commands and the list of buffers as well. | glue_vispy_viewers/extern/vispy/app/backends/_ipynb_util.py | def _extract_buffers(commands):
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# First, filter all DATA commands.
data_commands = [command for co... | def _extract_buffers(commands):
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train | _serialize_item | Internal function: serialize native types. | glue_vispy_viewers/extern/vispy/app/backends/_ipynb_util.py | def _serialize_item(item):
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# Recursively serialize lists, tuples, and dicts.
if isinstance(item, (list, tuple)):
return [_serialize_item(subitem) for subitem in item]
elif isinstance(item, dict):
return dict([(key, _serialize_item(value))
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# Recursively serialize lists, tuples, and dicts.
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train | create_glir_message | Create a JSON-serializable message of GLIR commands. NumPy arrays
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Arguments
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commands : list
List of GLIR commands.
array_serialization : string or None
Serialization method for NumPy arrays. Possible values are:
... | glue_vispy_viewers/extern/vispy/app/backends/_ipynb_util.py | def create_glir_message(commands, array_serialization=None):
"""Create a JSON-serializable message of GLIR commands. NumPy arrays
are serialized according to the specified method.
Arguments
---------
commands : list
List of GLIR commands.
array_serialization : string or None
Se... | def create_glir_message(commands, array_serialization=None):
"""Create a JSON-serializable message of GLIR commands. NumPy arrays
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Arguments
---------
commands : list
List of GLIR commands.
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train | Server.start_session | Start Session | mpdlcd/vendor/lcdproc/server.py | def start_session(self):
""" Start Session """
response = self.request("hello")
bits = response.split(" ")
self.server_info.update({
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"protocol_version": bits[4],
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response = self.request("hello")
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train | Server.request | Request | mpdlcd/vendor/lcdproc/server.py | def request(self, command_string):
""" Request """
self.send(command_string)
if self.debug:
print("Telnet Request: %s" % (command_string))
while True:
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self.send(command_string)
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while True:
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if "success" in response: # N... | [
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train | Server.add_screen | Add Screen | mpdlcd/vendor/lcdproc/server.py | def add_screen(self, ref):
""" Add Screen """
if ref not in self.screens:
screen = Screen(self, ref)
screen.clear() # TODO Check this is needed, new screens should be clear.
self.screens[ref] = screen
return self.screens[ref] | def add_screen(self, ref):
""" Add Screen """
if ref not in self.screens:
screen = Screen(self, ref)
screen.clear() # TODO Check this is needed, new screens should be clear.
self.screens[ref] = screen
return self.screens[ref] | [
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train | Server.add_key | Add a key.
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Return key name or None on error | mpdlcd/vendor/lcdproc/server.py | def add_key(self, ref, mode="shared"):
"""
Add a key.
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Return key name or None on error
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if ref not in self.keys:
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train | Server.del_key | Delete a key.
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Return None or LCDd response on error | mpdlcd/vendor/lcdproc/server.py | def del_key(self, ref):
"""
Delete a key.
(ref)
Return None or LCDd response on error
"""
if ref not in self.keys:
response = self.request("client_del_key %s" % (ref))
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Delete a key.
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Return None or LCDd response on error
"""
if ref not in self.keys:
response = self.request("client_del_key %s" % (ref))
self.keys.remove(ref)
if "success" in response:
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train | LowLevelAPI.launch | launch browser and virtual display, first of all to be launched | tradingAPI/low_level.py | def launch(self):
"""launch browser and virtual display, first of all to be launched"""
try:
# init virtual Display
self.vbro = Display()
self.vbro.start()
logger.debug("virtual display launched")
except Exception:
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"""launch browser and virtual display, first of all to be launched"""
try:
# init virtual Display
self.vbro = Display()
self.vbro.start()
logger.debug("virtual display launched")
except Exception:
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train | LowLevelAPI.css | css find function abbreviation | tradingAPI/low_level.py | def css(self, css_path, dom=None):
"""css find function abbreviation"""
if dom is None:
dom = self.browser
return expect(dom.find_by_css, args=[css_path]) | def css(self, css_path, dom=None):
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if dom is None:
dom = self.browser
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train | LowLevelAPI.css1 | return the first value of self.css | tradingAPI/low_level.py | def css1(self, css_path, dom=None):
"""return the first value of self.css"""
if dom is None:
dom = self.browser
def _css1(path, domm):
"""virtual local func"""
return self.css(path, domm)[0]
return expect(_css1, args=[css_path, dom]) | def css1(self, css_path, dom=None):
"""return the first value of self.css"""
if dom is None:
dom = self.browser
def _css1(path, domm):
"""virtual local func"""
return self.css(path, domm)[0]
return expect(_css1, args=[css_path, dom]) | [
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train | LowLevelAPI.search_name | name find function abbreviation | tradingAPI/low_level.py | def search_name(self, name, dom=None):
"""name find function abbreviation"""
if dom is None:
dom = self.browser
return expect(dom.find_by_name, args=[name]) | def search_name(self, name, dom=None):
"""name find function abbreviation"""
if dom is None:
dom = self.browser
return expect(dom.find_by_name, args=[name]) | [
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train | LowLevelAPI.xpath | xpath find function abbreviation | tradingAPI/low_level.py | def xpath(self, xpath, dom=None):
"""xpath find function abbreviation"""
if dom is None:
dom = self.browser
return expect(dom.find_by_xpath, args=[xpath]) | def xpath(self, xpath, dom=None):
"""xpath find function abbreviation"""
if dom is None:
dom = self.browser
return expect(dom.find_by_xpath, args=[xpath]) | [
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train | LowLevelAPI.elCss | check if element is present by css | tradingAPI/low_level.py | def elCss(self, css_path, dom=None):
"""check if element is present by css"""
if dom is None:
dom = self.browser
return expect(dom.is_element_present_by_css, args=[css_path]) | def elCss(self, css_path, dom=None):
"""check if element is present by css"""
if dom is None:
dom = self.browser
return expect(dom.is_element_present_by_css, args=[css_path]) | [
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train | LowLevelAPI.elXpath | check if element is present by css | tradingAPI/low_level.py | def elXpath(self, xpath, dom=None):
"""check if element is present by css"""
if dom is None:
dom = self.browser
return expect(dom.is_element_present_by_xpath, args=[xpath]) | def elXpath(self, xpath, dom=None):
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train | LowLevelAPI.login | login function | tradingAPI/low_level.py | def login(self, username, password, mode="demo"):
"""login function"""
url = "https://trading212.com/it/login"
try:
logger.debug(f"visiting %s" % url)
self.browser.visit(url)
logger.debug(f"connected to %s" % url)
except selenium.common.exceptions.WebD... | def login(self, username, password, mode="demo"):
"""login function"""
url = "https://trading212.com/it/login"
try:
logger.debug(f"visiting %s" % url)
self.browser.visit(url)
logger.debug(f"connected to %s" % url)
except selenium.common.exceptions.WebD... | [
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train | LowLevelAPI.logout | logout func (quit browser) | tradingAPI/low_level.py | def logout(self):
"""logout func (quit browser)"""
try:
self.browser.quit()
except Exception:
raise exceptions.BrowserException(self.brow_name, "not started")
return False
self.vbro.stop()
logger.info("logged out")
return True | def logout(self):
"""logout func (quit browser)"""
try:
self.browser.quit()
except Exception:
raise exceptions.BrowserException(self.brow_name, "not started")
return False
self.vbro.stop()
logger.info("logged out")
return True | [
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train | LowLevelAPI.new_pos | factory method pattern | tradingAPI/low_level.py | def new_pos(self, html_div):
"""factory method pattern"""
pos = self.Position(self, html_div)
pos.bind_mov()
self.positions.append(pos)
return pos | def new_pos(self, html_div):
"""factory method pattern"""
pos = self.Position(self, html_div)
pos.bind_mov()
self.positions.append(pos)
return pos | [
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train | _make_hostport | Convert a '[user[:pass]@]host:port' string to a Connection tuple.
If the given connection is empty, use defaults.
If no port is given, use the default.
Args:
conn (str): the string describing the target hsot/port
default_host (str): the host to use if ``conn`` is empty
default_port... | mpdlcd/cli.py | def _make_hostport(conn, default_host, default_port, default_user='', default_password=None):
"""Convert a '[user[:pass]@]host:port' string to a Connection tuple.
If the given connection is empty, use defaults.
If no port is given, use the default.
Args:
conn (str): the string describing the t... | def _make_hostport(conn, default_host, default_port, default_user='', default_password=None):
"""Convert a '[user[:pass]@]host:port' string to a Connection tuple.
If the given connection is empty, use defaults.
If no port is given, use the default.
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conn (str): the string describing the t... | [
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train | _make_lcdproc | Create and connect to the LCDd server.
Args:
lcd_host (str): the hostname to connect to
lcd_prot (int): the port to connect to
charset (str): the charset to use when sending messages to lcdproc
lcdd_debug (bool): whether to enable full LCDd debug
retry_attempts (int): the nu... | mpdlcd/cli.py | def _make_lcdproc(
lcd_host, lcd_port, retry_config,
charset=DEFAULT_LCDPROC_CHARSET, lcdd_debug=False):
"""Create and connect to the LCDd server.
Args:
lcd_host (str): the hostname to connect to
lcd_prot (int): the port to connect to
charset (str): the charset to use wh... | def _make_lcdproc(
lcd_host, lcd_port, retry_config,
charset=DEFAULT_LCDPROC_CHARSET, lcdd_debug=False):
"""Create and connect to the LCDd server.
Args:
lcd_host (str): the hostname to connect to
lcd_prot (int): the port to connect to
charset (str): the charset to use wh... | [
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train | _make_patterns | Create a ScreenPatternList from a given pattern text.
Args:
pattern_txt (str list): the patterns
Returns:
mpdlcd.display_pattern.ScreenPatternList: a list of patterns from the
given entries. | mpdlcd/cli.py | def _make_patterns(patterns):
"""Create a ScreenPatternList from a given pattern text.
Args:
pattern_txt (str list): the patterns
Returns:
mpdlcd.display_pattern.ScreenPatternList: a list of patterns from the
given entries.
"""
field_registry = display_fields.FieldRegis... | def _make_patterns(patterns):
"""Create a ScreenPatternList from a given pattern text.
Args:
pattern_txt (str list): the patterns
Returns:
mpdlcd.display_pattern.ScreenPatternList: a list of patterns from the
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"""
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train | run_forever | Run the server.
Args:
lcdproc (str): the target connection (host:port) for lcdproc
mpd (str): the target connection ([pwd@]host:port) for mpd
lcdproc_screen (str): the name of the screen to use for lcdproc
lcdproc_charset (str): the charset to use with lcdproc
lcdd_debug (bo... | mpdlcd/cli.py | def run_forever(
lcdproc='', mpd='', lcdproc_screen=DEFAULT_LCD_SCREEN_NAME,
lcdproc_charset=DEFAULT_LCDPROC_CHARSET,
lcdd_debug=False,
pattern='', patterns=[],
refresh=DEFAULT_REFRESH,
backlight_on=DEFAULT_BACKLIGHT_ON,
priority_playing=DEFAULT_PRIORITY,
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lcdd_debug=False,
pattern='', patterns=[],
refresh=DEFAULT_REFRESH,
backlight_on=DEFAULT_BACKLIGHT_ON,
priority_playing=DEFAULT_PRIORITY,
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train | _read_config | Read configuration from the given file.
Parsing is performed through the configparser library.
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"""Read configuration from the given file.
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"""
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New shape in yx order. A render buffer is always 2D. For
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train | FrameBuffer.activate | Activate/use this frame buffer. | glue_vispy_viewers/extern/vispy/gloo/framebuffer.py | def activate(self):
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"""
# Send command
self._glir.command('FRAMEBUFFER', self._id, True)
# Associate canvas now
canvas = get_current_canvas()
if canvas is not None:
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train | FrameBuffer.shape | The shape of the Texture/RenderBuffer attached to this FrameBuffer | glue_vispy_viewers/extern/vispy/gloo/framebuffer.py | def shape(self):
""" The shape of the Texture/RenderBuffer attached to this FrameBuffer
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if self.color_buffer is not None:
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shape : tuple of two integers
New buffer shape (h, w), to be applied to all currently
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shape : tuple of two integers
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mode : str
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alpha : bool
If True, returns RGBA array. Otherwise, returns RGB.
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The buffer type to read. May be 'color', 'depth', or 'stencil'.
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pos : array
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color : Color, tuple, or array
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----------
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Array of shape (..., 2) or (..., 3) specifying vertex coordinates.
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mode : str
Describes the type of boundary requested. Can be "visual", "data",
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axis : 0, 1, 2
The axis along which to measure the bounding values, in
x-y-z order. | glue_vispy_viewers/extern/vispy/visuals/line/line.py | def _compute_bounds(self, axis, view):
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----------
mode : str
Describes the type of boundary requested. Can be "visual", "data",
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axis : 0, 1, 2
The axis along which to measure the bounding values, in
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train | _AggLineVisual._agg_bake | Bake a list of 2D vertices for rendering them as thick line. Each line
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vertex sharing between two adjacent line segments). | glue_vispy_viewers/extern/vispy/visuals/line/line.py | def _agg_bake(cls, vertices, color, closed=False):
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train | _get_k_p_a | This actually calculates the kerning + advance | glue_vispy_viewers/extern/vispy/util/fonts/_quartz.py | def _get_k_p_a(font, left, right):
"""This actually calculates the kerning + advance"""
# http://lists.apple.com/archives/coretext-dev/2010/Dec/msg00020.html
# 1) set up a CTTypesetter
chars = left + right
args = [None, 1, cf.kCFTypeDictionaryKeyCallBacks,
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train | GridMeshVisual.set_data | Update the mesh data.
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A 2d array of x coordinates for the vertices of the mesh.
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A 2d array of y coordinates for the vertices of the mesh.
zs : ndarray | None
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Parameters
----------
xs : ndarray | None
A 2d array of x coordinates for the vertices of the mesh.
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train | _make_png | Convert numpy array to PNG byte array.
Parameters
----------
data : numpy.ndarray
Data must be (H, W, 3 | 4) with dtype = np.ubyte (np.uint8)
level : int
https://docs.python.org/2/library/zlib.html#zlib.compress
An integer from 0 to 9 controlling the level of compression:
... | glue_vispy_viewers/extern/vispy/io/image.py | def _make_png(data, level=6):
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Parameters
----------
data : numpy.ndarray
Data must be (H, W, 3 | 4) with dtype = np.ubyte (np.uint8)
level : int
https://docs.python.org/2/library/zlib.html#zlib.compress
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train | read_png | Read a PNG file to RGB8 or RGBA8
Unlike imread, this requires no external dependencies.
Parameters
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filename : str
File to read.
Returns
-------
data : array
Image data.
See also
--------
write_png, imread, imsave | glue_vispy_viewers/extern/vispy/io/image.py | def read_png(filename):
"""Read a PNG file to RGB8 or RGBA8
Unlike imread, this requires no external dependencies.
Parameters
----------
filename : str
File to read.
Returns
-------
data : array
Image data.
See also
--------
write_png, imread, imsave
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"""Read a PNG file to RGB8 or RGBA8
Unlike imread, this requires no external dependencies.
Parameters
----------
filename : str
File to read.
Returns
-------
data : array
Image data.
See also
--------
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File to save to.
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read_png, imread, imsave | glue_vispy_viewers/extern/vispy/io/image.py | def write_png(filename, data):
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----------
filename : str
File to save to.
data : array
Image data.
See also
--------
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Filename to read.
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Format of the file. If None, it will be inferred from the filename.
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filename : str
Filename to read.
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Format of the file. If None, it will be inferred from the filename.
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Filename to write.
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train | _check_img_lib | Utility to search for imageio or PIL | glue_vispy_viewers/extern/vispy/io/image.py | def _check_img_lib():
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train | read_from_user | Helper function to prompt user for input of a specific type
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Designed to work with both python 2 and 3
Yes I know this is ugly. | ask/config/config.py | def read_from_user(input_type, *args, **kwargs):
'''
Helper function to prompt user for input of a specific type
e.g. float, str, int
Designed to work with both python 2 and 3
Yes I know this is ugly.
'''
def _read_in(*args, **kwargs):
while True:
try: tmp = raw_inpu... | def read_from_user(input_type, *args, **kwargs):
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Helper function to prompt user for input of a specific type
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Yes I know this is ugly.
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train | load_builtin_slots | Helper function to load builtin slots from the data location | ask/config/config.py | def load_builtin_slots():
'''
Helper function to load builtin slots from the data location
'''
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for index, line in enumerate(open(BUILTIN_SLOTS_LOCATION)):
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builtin_slots[index] = {'name' : o[0],
'descript... | def load_builtin_slots():
'''
Helper function to load builtin slots from the data location
'''
builtin_slots = {}
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train | timer | Function decorator displaying the function execution time
All kwargs are the arguments taken by the Timer class constructor. | contexttimer/__init__.py | def timer(logger=None, level=logging.INFO,
fmt="function %(function_name)s execution time: %(execution_time).3f",
*func_or_func_args, **timer_kwargs):
""" Function decorator displaying the function execution time
All kwargs are the arguments taken by the Timer class constructor.
"""
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""" Function decorator displaying the function execution time
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train | RawTriangleCollection.append | Append a new set of vertices to the collection.
For kwargs argument, n is the number of vertices (local) or the number
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Parameters
----------
points : np.array
Vertices composing the triangles
indices : np.array
Indices describi... | glue_vispy_viewers/extern/vispy/visuals/collections/raw_triangle_collection.py | def append(self, points, indices, **kwargs):
"""
Append a new set of vertices to the collection.
For kwargs argument, n is the number of vertices (local) or the number
of item (shared)
Parameters
----------
points : np.array
Vertices composing the t... | def append(self, points, indices, **kwargs):
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Append a new set of vertices to the collection.
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points : np.array
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train | _mpl_to_vispy | Convert a given matplotlib figure to vispy
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Requires matplotlib and mplexporter.
Parameters
----------
fig : instance of matplotlib Figure
The populated figure to display.
Returns
-------
canvas : instance of Canvas
T... | glue_vispy_viewers/extern/vispy/mpl_plot/_mpl_to_vispy.py | def _mpl_to_vispy(fig):
"""Convert a given matplotlib figure to vispy
This function is experimental and subject to change!
Requires matplotlib and mplexporter.
Parameters
----------
fig : instance of matplotlib Figure
The populated figure to display.
Returns
-------
canvas... | def _mpl_to_vispy(fig):
"""Convert a given matplotlib figure to vispy
This function is experimental and subject to change!
Requires matplotlib and mplexporter.
Parameters
----------
fig : instance of matplotlib Figure
The populated figure to display.
Returns
-------
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train | show | Show current figures using vispy
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----------
block : bool
If True, blocking mode will be used. If False, then non-blocking
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Returns
-------
canvases : list
List of the vispy canvases that were created. | glue_vispy_viewers/extern/vispy/mpl_plot/_mpl_to_vispy.py | def show(block=False):
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Parameters
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block : bool
If True, blocking mode will be used. If False, then non-blocking
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Returns
-------
canvases : list
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train | VispyRenderer._mpl_ax_to | Helper to get the parent axes of a given mplobj | glue_vispy_viewers/extern/vispy/mpl_plot/_mpl_to_vispy.py | def _mpl_ax_to(self, mplobj, output='vb'):
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for ax in self._axs.values():
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return ax[output]
raise RuntimeError('Parent axes could not be found!') | def _mpl_ax_to(self, mplobj, output='vb'):
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train | random | Place the graph nodes at random places.
Parameters
----------
adjacency_mat : matrix or sparse
The graph adjacency matrix
directed : bool
Whether the graph is directed. If this is True, is will also
generate the vertices for arrows, which can be passed to an
ArrowVisual.... | glue_vispy_viewers/extern/vispy/visuals/graphs/layouts/random.py | def random(adjacency_mat, directed=False, random_state=None):
"""
Place the graph nodes at random places.
Parameters
----------
adjacency_mat : matrix or sparse
The graph adjacency matrix
directed : bool
Whether the graph is directed. If this is True, is will also
genera... | def random(adjacency_mat, directed=False, random_state=None):
"""
Place the graph nodes at random places.
Parameters
----------
adjacency_mat : matrix or sparse
The graph adjacency matrix
directed : bool
Whether the graph is directed. If this is True, is will also
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train | isocurve | Generate isocurve from 2D data using marching squares algorithm.
Parameters
----------
data : ndarray
2D numpy array of scalar values
level : float
The level at which to generate an isosurface
connected : bool
If False, return a single long list of point pairs
If Tru... | glue_vispy_viewers/extern/vispy/geometry/isocurve.py | def isocurve(data, level, connected=False, extend_to_edge=False):
"""
Generate isocurve from 2D data using marching squares algorithm.
Parameters
----------
data : ndarray
2D numpy array of scalar values
level : float
The level at which to generate an isosurface
connected : ... | def isocurve(data, level, connected=False, extend_to_edge=False):
"""
Generate isocurve from 2D data using marching squares algorithm.
Parameters
----------
data : ndarray
2D numpy array of scalar values
level : float
The level at which to generate an isosurface
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train | SceneMouseEvent.pos | The position of this event in the local coordinate system of the
visual. | glue_vispy_viewers/extern/vispy/scene/events.py | def pos(self):
""" The position of this event in the local coordinate system of the
visual.
"""
if self._pos is None:
tr = self.visual.get_transform('canvas', 'visual')
self._pos = tr.map(self.mouse_event.pos)
return self._pos | def pos(self):
""" The position of this event in the local coordinate system of the
visual.
"""
if self._pos is None:
tr = self.visual.get_transform('canvas', 'visual')
self._pos = tr.map(self.mouse_event.pos)
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train | SceneMouseEvent.last_event | The mouse event immediately prior to this one. This
property is None when no mouse buttons are pressed. | glue_vispy_viewers/extern/vispy/scene/events.py | def last_event(self):
""" The mouse event immediately prior to this one. This
property is None when no mouse buttons are pressed.
"""
if self.mouse_event.last_event is None:
return None
ev = self.copy()
ev.mouse_event = self.mouse_event.last_event
retu... | def last_event(self):
""" The mouse event immediately prior to this one. This
property is None when no mouse buttons are pressed.
"""
if self.mouse_event.last_event is None:
return None
ev = self.copy()
ev.mouse_event = self.mouse_event.last_event
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train | SceneMouseEvent.press_event | The mouse press event that initiated a mouse drag, if any. | glue_vispy_viewers/extern/vispy/scene/events.py | def press_event(self):
""" The mouse press event that initiated a mouse drag, if any.
"""
if self.mouse_event.press_event is None:
return None
ev = self.copy()
ev.mouse_event = self.mouse_event.press_event
return ev | def press_event(self):
""" The mouse press event that initiated a mouse drag, if any.
"""
if self.mouse_event.press_event is None:
return None
ev = self.copy()
ev.mouse_event = self.mouse_event.press_event
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train | check_enum | Get lowercase string representation of enum. | glue_vispy_viewers/extern/vispy/gloo/util.py | def check_enum(enum, name=None, valid=None):
""" Get lowercase string representation of enum.
"""
name = name or 'enum'
# Try to convert
res = None
if isinstance(enum, int):
if hasattr(enum, 'name') and enum.name.startswith('GL_'):
res = enum.name[3:].lower()
elif isinsta... | def check_enum(enum, name=None, valid=None):
""" Get lowercase string representation of enum.
"""
name = name or 'enum'
# Try to convert
res = None
if isinstance(enum, int):
if hasattr(enum, 'name') and enum.name.startswith('GL_'):
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train | draw_texture | Draw a 2D texture to the current viewport
Parameters
----------
tex : instance of Texture2D
The texture to draw. | glue_vispy_viewers/extern/vispy/gloo/util.py | def draw_texture(tex):
"""Draw a 2D texture to the current viewport
Parameters
----------
tex : instance of Texture2D
The texture to draw.
"""
from .program import Program
program = Program(vert_draw, frag_draw)
program['u_texture'] = tex
program['a_position'] = [[-1., -1.],... | def draw_texture(tex):
"""Draw a 2D texture to the current viewport
Parameters
----------
tex : instance of Texture2D
The texture to draw.
"""
from .program import Program
program = Program(vert_draw, frag_draw)
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train | _get_dpi_from | Match pattern against the output of func, passing the results as
floats to func. If anything fails, return None. | glue_vispy_viewers/extern/vispy/util/dpi/_linux.py | def _get_dpi_from(cmd, pattern, func):
"""Match pattern against the output of func, passing the results as
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"""
try:
out, _ = run_subprocess([cmd])
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pass
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match = re.search(pattern, ... | def _get_dpi_from(cmd, pattern, func):
"""Match pattern against the output of func, passing the results as
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"""
try:
out, _ = run_subprocess([cmd])
except (OSError, CalledProcessError):
pass
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train | get_dpi | Get screen DPI from the OS
Parameters
----------
raise_error : bool
If True, raise an error if DPI could not be determined.
Returns
-------
dpi : float
Dots per inch of the primary screen. | glue_vispy_viewers/extern/vispy/util/dpi/_linux.py | def get_dpi(raise_error=True):
"""Get screen DPI from the OS
Parameters
----------
raise_error : bool
If True, raise an error if DPI could not be determined.
Returns
-------
dpi : float
Dots per inch of the primary screen.
"""
# If we are running without an X server... | def get_dpi(raise_error=True):
"""Get screen DPI from the OS
Parameters
----------
raise_error : bool
If True, raise an error if DPI could not be determined.
Returns
-------
dpi : float
Dots per inch of the primary screen.
"""
# If we are running without an X server... | [
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train | GraphVisual.set_data | Set the data
Parameters
----------
adjacency_mat : ndarray | None
The adjacency matrix.
**kwargs : dict
Keyword arguments to pass to the arrows. | glue_vispy_viewers/extern/vispy/visuals/graphs/graph.py | def set_data(self, adjacency_mat=None, **kwargs):
"""Set the data
Parameters
----------
adjacency_mat : ndarray | None
The adjacency matrix.
**kwargs : dict
Keyword arguments to pass to the arrows.
"""
if adjacency_mat is not None:
... | def set_data(self, adjacency_mat=None, **kwargs):
"""Set the data
Parameters
----------
adjacency_mat : ndarray | None
The adjacency matrix.
**kwargs : dict
Keyword arguments to pass to the arrows.
"""
if adjacency_mat is not None:
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train | ColorBarWidget.calc_size | Calculate a size
Parameters
----------
rect : rectangle
The rectangle.
orientation : str
Either "bottom" or "top". | glue_vispy_viewers/extern/vispy/scene/widgets/colorbar.py | def calc_size(rect, orientation):
"""Calculate a size
Parameters
----------
rect : rectangle
The rectangle.
orientation : str
Either "bottom" or "top".
"""
(total_halfx, total_halfy) = rect.center
if orientation in ["bottom", "top"... | def calc_size(rect, orientation):
"""Calculate a size
Parameters
----------
rect : rectangle
The rectangle.
orientation : str
Either "bottom" or "top".
"""
(total_halfx, total_halfy) = rect.center
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train | dtype_reduce | Try to reduce dtype up to a given level when it is possible
dtype = [ ('vertex', [('x', 'f4'), ('y', 'f4'), ('z', 'f4')]),
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level ... | glue_vispy_viewers/extern/vispy/visuals/collections/util.py | def dtype_reduce(dtype, level=0, depth=0):
"""
Try to reduce dtype up to a given level when it is possible
dtype = [ ('vertex', [('x', 'f4'), ('y', 'f4'), ('z', 'f4')]),
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('color', [('r', 'f4'), ('g', 'f4'), ('b', 'f4'),... | def dtype_reduce(dtype, level=0, depth=0):
"""
Try to reduce dtype up to a given level when it is possible
dtype = [ ('vertex', [('x', 'f4'), ('y', 'f4'), ('z', 'f4')]),
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train | fetchcode | Generate the GLSL code needed to retrieve fake uniform values from a
texture.
uniforms : sampler2D
Texture to fetch uniforms from
uniforms_shape: vec3
Size of texture (width,height,count) where count is the number of float
to be fetched.
collection_index: float
Attribu... | glue_vispy_viewers/extern/vispy/visuals/collections/util.py | def fetchcode(utype, prefix=""):
"""
Generate the GLSL code needed to retrieve fake uniform values from a
texture.
uniforms : sampler2D
Texture to fetch uniforms from
uniforms_shape: vec3
Size of texture (width,height,count) where count is the number of float
to be fetched.... | def fetchcode(utype, prefix=""):
"""
Generate the GLSL code needed to retrieve fake uniform values from a
texture.
uniforms : sampler2D
Texture to fetch uniforms from
uniforms_shape: vec3
Size of texture (width,height,count) where count is the number of float
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train | create_cube | Generate vertices & indices for a filled and outlined cube
Returns
-------
vertices : array
Array of vertices suitable for use as a VertexBuffer.
filled : array
Indices to use to produce a filled cube.
outline : array
Indices to use to produce an outline of the cube. | glue_vispy_viewers/extern/vispy/geometry/generation.py | def create_cube():
""" Generate vertices & indices for a filled and outlined cube
Returns
-------
vertices : array
Array of vertices suitable for use as a VertexBuffer.
filled : array
Indices to use to produce a filled cube.
outline : array
Indices to use to produce an o... | def create_cube():
""" Generate vertices & indices for a filled and outlined cube
Returns
-------
vertices : array
Array of vertices suitable for use as a VertexBuffer.
filled : array
Indices to use to produce a filled cube.
outline : array
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train | create_plane | Generate vertices & indices for a filled and outlined plane.
Parameters
----------
width : float
Plane width.
height : float
Plane height.
width_segments : int
Plane segments count along the width.
height_segments : float
Plane segments count along the height.
... | glue_vispy_viewers/extern/vispy/geometry/generation.py | def create_plane(width=1, height=1, width_segments=1, height_segments=1,
direction='+z'):
""" Generate vertices & indices for a filled and outlined plane.
Parameters
----------
width : float
Plane width.
height : float
Plane height.
width_segments : int
... | def create_plane(width=1, height=1, width_segments=1, height_segments=1,
direction='+z'):
""" Generate vertices & indices for a filled and outlined plane.
Parameters
----------
width : float
Plane width.
height : float
Plane height.
width_segments : int
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train | create_box | Generate vertices & indices for a filled and outlined box.
Parameters
----------
width : float
Box width.
height : float
Box height.
depth : float
Box depth.
width_segments : int
Box segments count along the width.
height_segments : float
Box segments... | glue_vispy_viewers/extern/vispy/geometry/generation.py | def create_box(width=1, height=1, depth=1, width_segments=1, height_segments=1,
depth_segments=1, planes=None):
""" Generate vertices & indices for a filled and outlined box.
Parameters
----------
width : float
Box width.
height : float
Box height.
depth : float
... | def create_box(width=1, height=1, depth=1, width_segments=1, height_segments=1,
depth_segments=1, planes=None):
""" Generate vertices & indices for a filled and outlined box.
Parameters
----------
width : float
Box width.
height : float
Box height.
depth : float
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train | create_sphere | Create a sphere
Parameters
----------
rows : int
Number of rows (for method='latitude' and 'cube').
cols : int
Number of columns (for method='latitude' and 'cube').
depth : int
Number of depth segments (for method='cube').
radius : float
Sphere radius.
offset... | glue_vispy_viewers/extern/vispy/geometry/generation.py | def create_sphere(rows=10, cols=10, depth=10, radius=1.0, offset=True,
subdivisions=3, method='latitude'):
"""Create a sphere
Parameters
----------
rows : int
Number of rows (for method='latitude' and 'cube').
cols : int
Number of columns (for method='latitude' and... | def create_sphere(rows=10, cols=10, depth=10, radius=1.0, offset=True,
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"""Create a sphere
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----------
rows : int
Number of rows (for method='latitude' and 'cube').
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train | create_cylinder | Create a cylinder
Parameters
----------
rows : int
Number of rows.
cols : int
Number of columns.
radius : tuple of float
Cylinder radii.
length : float
Length of the cylinder.
offset : bool
Rotate each row by half a column.
Returns
-------
... | glue_vispy_viewers/extern/vispy/geometry/generation.py | def create_cylinder(rows, cols, radius=[1.0, 1.0], length=1.0, offset=False):
"""Create a cylinder
Parameters
----------
rows : int
Number of rows.
cols : int
Number of columns.
radius : tuple of float
Cylinder radii.
length : float
Length of the cylinder.
... | def create_cylinder(rows, cols, radius=[1.0, 1.0], length=1.0, offset=False):
"""Create a cylinder
Parameters
----------
rows : int
Number of rows.
cols : int
Number of columns.
radius : tuple of float
Cylinder radii.
length : float
Length of the cylinder.
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train | create_cone | Create a cone
Parameters
----------
cols : int
Number of faces.
radius : float
Base cone radius.
length : float
Length of the cone.
Returns
-------
cone : MeshData
Vertices and faces computed for a cone surface. | glue_vispy_viewers/extern/vispy/geometry/generation.py | def create_cone(cols, radius=1.0, length=1.0):
"""Create a cone
Parameters
----------
cols : int
Number of faces.
radius : float
Base cone radius.
length : float
Length of the cone.
Returns
-------
cone : MeshData
Vertices and faces computed for a co... | def create_cone(cols, radius=1.0, length=1.0):
"""Create a cone
Parameters
----------
cols : int
Number of faces.
radius : float
Base cone radius.
length : float
Length of the cone.
Returns
-------
cone : MeshData
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train | create_arrow | Create a 3D arrow using a cylinder plus cone
Parameters
----------
rows : int
Number of rows.
cols : int
Number of columns.
radius : float
Base cylinder radius.
length : float
Length of the arrow.
cone_radius : float
Radius of the cone base.
... | glue_vispy_viewers/extern/vispy/geometry/generation.py | def create_arrow(rows, cols, radius=0.1, length=1.0,
cone_radius=None, cone_length=None):
"""Create a 3D arrow using a cylinder plus cone
Parameters
----------
rows : int
Number of rows.
cols : int
Number of columns.
radius : float
Base cylinder radius.
... | def create_arrow(rows, cols, radius=0.1, length=1.0,
cone_radius=None, cone_length=None):
"""Create a 3D arrow using a cylinder plus cone
Parameters
----------
rows : int
Number of rows.
cols : int
Number of columns.
radius : float
Base cylinder radius.
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train | create_grid_mesh | Generate vertices and indices for an implicitly connected mesh.
The intention is that this makes it simple to generate a mesh
from meshgrid data.
Parameters
----------
xs : ndarray
A 2d array of x coordinates for the vertices of the mesh. Must
have the same dimensions as ys and zs.... | glue_vispy_viewers/extern/vispy/geometry/generation.py | def create_grid_mesh(xs, ys, zs):
'''Generate vertices and indices for an implicitly connected mesh.
The intention is that this makes it simple to generate a mesh
from meshgrid data.
Parameters
----------
xs : ndarray
A 2d array of x coordinates for the vertices of the mesh. Must
... | def create_grid_mesh(xs, ys, zs):
'''Generate vertices and indices for an implicitly connected mesh.
The intention is that this makes it simple to generate a mesh
from meshgrid data.
Parameters
----------
xs : ndarray
A 2d array of x coordinates for the vertices of the mesh. Must
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train | _straight_line_vertices | Generate the vertices for straight lines between nodes.
If it is a directed graph, it also generates the vertices which can be
passed to an :class:`ArrowVisual`.
Parameters
----------
adjacency_mat : array
The adjacency matrix of the graph
node_coords : array
The current coordi... | glue_vispy_viewers/extern/vispy/visuals/graphs/util.py | def _straight_line_vertices(adjacency_mat, node_coords, directed=False):
"""
Generate the vertices for straight lines between nodes.
If it is a directed graph, it also generates the vertices which can be
passed to an :class:`ArrowVisual`.
Parameters
----------
adjacency_mat : array
... | def _straight_line_vertices(adjacency_mat, node_coords, directed=False):
"""
Generate the vertices for straight lines between nodes.
If it is a directed graph, it also generates the vertices which can be
passed to an :class:`ArrowVisual`.
Parameters
----------
adjacency_mat : array
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train | _rescale_layout | Normalize the given coordinate list to the range [0, `scale`].
Parameters
----------
pos : array
Coordinate list
scale : number
The upperbound value for the coordinates range
Returns
-------
pos : array
The rescaled (normalized) coordinates in the range [0, `scale`]... | glue_vispy_viewers/extern/vispy/visuals/graphs/util.py | def _rescale_layout(pos, scale=1):
"""
Normalize the given coordinate list to the range [0, `scale`].
Parameters
----------
pos : array
Coordinate list
scale : number
The upperbound value for the coordinates range
Returns
-------
pos : array
The rescaled (no... | def _rescale_layout(pos, scale=1):
"""
Normalize the given coordinate list to the range [0, `scale`].
Parameters
----------
pos : array
Coordinate list
scale : number
The upperbound value for the coordinates range
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pos : array
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train | get_handle | Get unique FT_Library handle | glue_vispy_viewers/extern/vispy/ext/_bundled/freetype.py | def get_handle():
'''
Get unique FT_Library handle
'''
global __handle__
if not __handle__:
__handle__ = FT_Library()
error = FT_Init_FreeType(byref(__handle__))
if error:
raise RuntimeError(hex(error))
return __handle__ | def get_handle():
'''
Get unique FT_Library handle
'''
global __handle__
if not __handle__:
__handle__ = FT_Library()
error = FT_Init_FreeType(byref(__handle__))
if error:
raise RuntimeError(hex(error))
return __handle__ | [
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train | version | Return the version of the FreeType library being used as a tuple of
( major version number, minor version number, patch version number ) | glue_vispy_viewers/extern/vispy/ext/_bundled/freetype.py | def version():
'''
Return the version of the FreeType library being used as a tuple of
( major version number, minor version number, patch version number )
'''
amajor = FT_Int()
aminor = FT_Int()
apatch = FT_Int()
library = get_handle()
FT_Library_Version(library, byref(amajor), byre... | def version():
'''
Return the version of the FreeType library being used as a tuple of
( major version number, minor version number, patch version number )
'''
amajor = FT_Int()
aminor = FT_Int()
apatch = FT_Int()
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train | make_camera | Factory function for creating new cameras using a string name.
Parameters
----------
cam_type : str
May be one of:
* 'panzoom' : Creates :class:`PanZoomCamera`
* 'turntable' : Creates :class:`TurntableCamera`
* None : Creates :class:`Camera`
Notes
-----... | glue_vispy_viewers/extern/vispy/scene/cameras/_base.py | def make_camera(cam_type, *args, **kwargs):
""" Factory function for creating new cameras using a string name.
Parameters
----------
cam_type : str
May be one of:
* 'panzoom' : Creates :class:`PanZoomCamera`
* 'turntable' : Creates :class:`TurntableCamera`
*... | def make_camera(cam_type, *args, **kwargs):
""" Factory function for creating new cameras using a string name.
Parameters
----------
cam_type : str
May be one of:
* 'panzoom' : Creates :class:`PanZoomCamera`
* 'turntable' : Creates :class:`TurntableCamera`
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train | MultiColorScatter.set_data_values | Set the position of the datapoints | glue_vispy_viewers/scatter/multi_scatter.py | def set_data_values(self, label, x, y, z):
"""
Set the position of the datapoints
"""
# TODO: avoid re-allocating an array every time
self.layers[label]['data'] = np.array([x, y, z]).transpose()
self._update() | def set_data_values(self, label, x, y, z):
"""
Set the position of the datapoints
"""
# TODO: avoid re-allocating an array every time
self.layers[label]['data'] = np.array([x, y, z]).transpose()
self._update() | [
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train | SegmentCollection | mode: string
- "raw" (speed: fastest, size: small, output: ugly, no dash,
no thickness)
- "agg" (speed: slower, size: medium, output: perfect, no dash) | glue_vispy_viewers/extern/vispy/visuals/collections/segment_collection.py | def SegmentCollection(mode="agg-fast", *args, **kwargs):
"""
mode: string
- "raw" (speed: fastest, size: small, output: ugly, no dash,
no thickness)
- "agg" (speed: slower, size: medium, output: perfect, no dash)
"""
if mode == "raw":
return RawSegmentCollection(*args... | def SegmentCollection(mode="agg-fast", *args, **kwargs):
"""
mode: string
- "raw" (speed: fastest, size: small, output: ugly, no dash,
no thickness)
- "agg" (speed: slower, size: medium, output: perfect, no dash)
"""
if mode == "raw":
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train | surface | Computes the parameterization of a parametric surface
func: function(u,v)
Parametric function used to build the surface | glue_vispy_viewers/extern/vispy/geometry/parametric.py | def surface(func, umin=0, umax=2 * np.pi, ucount=64, urepeat=1.0,
vmin=0, vmax=2 * np.pi, vcount=64, vrepeat=1.0):
"""
Computes the parameterization of a parametric surface
func: function(u,v)
Parametric function used to build the surface
"""
vtype = [('position', np.float32, 3... | def surface(func, umin=0, umax=2 * np.pi, ucount=64, urepeat=1.0,
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"""
Computes the parameterization of a parametric surface
func: function(u,v)
Parametric function used to build the surface
"""
vtype = [('position', np.float32, 3... | [
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] | glue-viz/glue-vispy-viewers | python | https://github.com/glue-viz/glue-vispy-viewers/blob/54a4351d98c1f90dfb1a557d1b447c1f57470eea/glue_vispy_viewers/extern/vispy/geometry/parametric.py#L11-L57 | [
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train | PointCollection | mode: string
- "raw" (speed: fastest, size: small, output: ugly)
- "agg" (speed: fast, size: small, output: beautiful) | glue_vispy_viewers/extern/vispy/visuals/collections/point_collection.py | def PointCollection(mode="raw", *args, **kwargs):
"""
mode: string
- "raw" (speed: fastest, size: small, output: ugly)
- "agg" (speed: fast, size: small, output: beautiful)
"""
if mode == "raw":
return RawPointCollection(*args, **kwargs)
return AggPointCollection(*args,... | def PointCollection(mode="raw", *args, **kwargs):
"""
mode: string
- "raw" (speed: fastest, size: small, output: ugly)
- "agg" (speed: fast, size: small, output: beautiful)
"""
if mode == "raw":
return RawPointCollection(*args, **kwargs)
return AggPointCollection(*args,... | [
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train | ScrollingLinesVisual.roll_data | Append new data to the right side of every line strip and remove
as much data from the left.
Parameters
----------
data : array-like
A data array to append. | glue_vispy_viewers/extern/vispy/visuals/scrolling_lines.py | def roll_data(self, data):
"""Append new data to the right side of every line strip and remove
as much data from the left.
Parameters
----------
data : array-like
A data array to append.
"""
data = data.astype('float32')[..., np.newaxis]
... | def roll_data(self, data):
"""Append new data to the right side of every line strip and remove
as much data from the left.
Parameters
----------
data : array-like
A data array to append.
"""
data = data.astype('float32')[..., np.newaxis]
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"if"... | 54a4351d98c1f90dfb1a557d1b447c1f57470eea |
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