_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 75 19.8k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q225600 | LogEvent.to_json | train | def to_json(self, labels=None):
"""Convert LogEvent object to valid JSON."""
output = self.to_dict(labels)
return json.dumps(output, cls=DateTimeEncoder, ensure_ascii=False) | python | {
"resource": ""
} |
q225601 | MLogFilterTool.addFilter | train | def addFilter(self, filterclass):
"""Add a filter class to the parser."""
if filterclass not in self.filters:
self.filters.append(filterclass) | python | {
"resource": ""
} |
q225602 | MLogFilterTool._outputLine | train | def _outputLine(self, logevent, length=None, human=False):
"""
Print the final line.
Provides various options (length, human, datetime changes, ...).
"""
# adapt timezone output if necessary
if self.args['timestamp_format'] != 'none':
logevent._reformat_times... | python | {
"resource": ""
} |
q225603 | MLogFilterTool._msToString | train | def _msToString(self, ms):
"""Change milliseconds to hours min sec ms format."""
hr, ms = divmod(ms, 3600000)
mins, ms = divmod(ms, 60000)
secs, mill = divmod(ms, 1000)
return "%ihr %imin %isecs %ims" % (hr, mins, secs, mill) | python | {
"resource": ""
} |
q225604 | MLogFilterTool._changeMs | train | def _changeMs(self, line):
"""Change the ms part in the string if needed."""
# use the position of the last space instead
try:
last_space_pos = line.rindex(' ')
except ValueError:
return line
else:
end_str = line[last_space_pos:]
ne... | python | {
"resource": ""
} |
q225605 | MLogFilterTool._formatNumbers | train | def _formatNumbers(self, line):
"""
Format the numbers so that there are commas inserted.
For example: 1200300 becomes 1,200,300.
"""
# below thousands separator syntax only works for
# python 2.7, skip for 2.6
if sys.version_info < (2, 7):
return lin... | python | {
"resource": ""
} |
q225606 | MLogFilterTool._datetime_key_for_merge | train | def _datetime_key_for_merge(self, logevent):
"""Helper method for ordering log lines correctly during merge."""
if not logevent:
# if logfile end is reached, return max datetime to never
# pick this line
return datetime(MAXYEAR, 12, 31, 23, 59, 59, 999999, tzutc())
... | python | {
"resource": ""
} |
q225607 | MLogFilterTool._merge_logfiles | train | def _merge_logfiles(self):
"""Helper method to merge several files together by datetime."""
# open files, read first lines, extract first dates
lines = [next(iter(logfile), None) for logfile in self.args['logfile']]
# adjust lines by timezone
for i in range(len(lines)):
... | python | {
"resource": ""
} |
q225608 | MLogFilterTool.logfile_generator | train | def logfile_generator(self):
"""Yield each line of the file, or the next line if several files."""
if not self.args['exclude']:
# ask all filters for a start_limit and fast-forward to the maximum
start_limits = [f.start_limit for f in self.filters
if h... | python | {
"resource": ""
} |
q225609 | MaskFilter.setup | train | def setup(self):
"""
Create mask list.
Consists of all tuples between which this filter accepts lines.
"""
# get start and end of the mask and set a start_limit
if not self.mask_source.start:
raise SystemExit("Can't parse format of %s. Is this a log file or "... | python | {
"resource": ""
} |
q225610 | source_files | train | def source_files(mongodb_path):
"""Find source files."""
for root, dirs, files in os.walk(mongodb_path):
for filename in files:
# skip files in dbtests folder
if 'dbtests' in root:
continue
if filename.endswith(('.cpp', '.c', '.h')):
yi... | python | {
"resource": ""
} |
q225611 | index | train | def index():
"""
This is not served anywhere in the web application.
It is used explicitly in the context of generating static files since
flask-frozen requires url_for's to crawl content.
url_for's are not used with result.show_result directly and are instead
dynamically generated through javas... | python | {
"resource": ""
} |
q225612 | content_sha1 | train | def content_sha1(context):
"""
Used by the FileContent model to automatically compute the sha1
hash of content before storing it to the database.
"""
try:
content = context.current_parameters['content']
except AttributeError:
content = context
return hashlib.sha1(encodeutils.... | python | {
"resource": ""
} |
q225613 | main | train | def main():
""" Returns the about page """
files = models.File.query
hosts = models.Host.query
facts = models.HostFacts.query
playbooks = models.Playbook.query
records = models.Data.query
tasks = models.Task.query
results = models.TaskResult.query
if current_app.config['ARA_PLAYBOOK... | python | {
"resource": ""
} |
q225614 | index | train | def index():
"""
This is not served anywhere in the web application.
It is used explicitly in the context of generating static files since
flask-frozen requires url_for's to crawl content.
url_for's are not used with host.show_host directly and are instead
dynamically generated through javascrip... | python | {
"resource": ""
} |
q225615 | WebAppConfig.config | train | def config(self):
""" Returns a dictionary for the loaded configuration """
return {
key: self.__dict__[key]
for key in dir(self)
if key.isupper()
} | python | {
"resource": ""
} |
q225616 | index | train | def index():
"""
This is not served anywhere in the web application.
It is used explicitly in the context of generating static files since
flask-frozen requires url_for's to crawl content.
url_for's are not used with file.show_file directly and are instead
dynamically generated through javascrip... | python | {
"resource": ""
} |
q225617 | show_file | train | def show_file(file_):
"""
Returns details of a file
"""
file_ = (models.File.query.get(file_))
if file_ is None:
abort(404)
return render_template('file.html', file_=file_) | python | {
"resource": ""
} |
q225618 | configure_db | train | def configure_db(app):
"""
0.10 is the first version of ARA that ships with a stable database schema.
We can identify a database that originates from before this by checking if
there is an alembic revision available.
If there is no alembic revision available, assume we are running the first
revi... | python | {
"resource": ""
} |
q225619 | configure_cache | train | def configure_cache(app):
""" Sets up an attribute to cache data in the app context """
log = logging.getLogger('ara.webapp.configure_cache')
log.debug('Configuring cache')
if not getattr(app, '_cache', None):
app._cache = {} | python | {
"resource": ""
} |
q225620 | bspline_to_nurbs | train | def bspline_to_nurbs(obj):
""" Converts non-rational parametric shapes to rational ones.
:param obj: B-Spline shape
:type obj: BSpline.Curve, BSpline.Surface or BSpline.Volume
:return: NURBS shape
:rtype: NURBS.Curve, NURBS.Surface or NURBS.Volume
:raises: TypeError
"""
# B-Spline -> NU... | python | {
"resource": ""
} |
q225621 | nurbs_to_bspline | train | def nurbs_to_bspline(obj, **kwargs):
""" Extracts the non-rational components from rational parametric shapes, if possible.
The possibility of converting a rational shape to a non-rational one depends on the weights vector.
:param obj: NURBS shape
:type obj: NURBS.Curve, NURBS.Surface or NURBS.Volume
... | python | {
"resource": ""
} |
q225622 | doolittle | train | def doolittle(matrix_a):
""" Doolittle's Method for LU-factorization.
:param matrix_a: Input matrix (must be a square matrix)
:type matrix_a: list, tuple
:return: a tuple containing matrices (L,U)
:rtype: tuple
"""
# Initialize L and U matrices
matrix_u = [[0.0 for _ in range(len(matrix... | python | {
"resource": ""
} |
q225623 | read_files | train | def read_files(project, ext):
""" Reads files inside the input project directory. """
project_path = os.path.join(os.path.dirname(__file__), project)
file_list = os.listdir(project_path)
flist = []
flist_path = []
for f in file_list:
f_path = os.path.join(project_path, f)
if os.p... | python | {
"resource": ""
} |
q225624 | copy_files | train | def copy_files(src, ext, dst):
""" Copies files with extensions "ext" from "src" to "dst" directory. """
src_path = os.path.join(os.path.dirname(__file__), src)
dst_path = os.path.join(os.path.dirname(__file__), dst)
file_list = os.listdir(src_path)
for f in file_list:
if f == '__init__.py'... | python | {
"resource": ""
} |
q225625 | make_dir | train | def make_dir(project):
""" Creates the project directory for compiled modules. """
project_path = os.path.join(os.path.dirname(__file__), project)
# Delete the directory and the files inside it
if os.path.exists(project_path):
shutil.rmtree(project_path)
# Create the directory
os.mkdir(p... | python | {
"resource": ""
} |
q225626 | in_argv | train | def in_argv(arg_list):
""" Checks if any of the elements of the input list is in sys.argv array. """
for arg in sys.argv:
for parg in arg_list:
if parg == arg or arg.startswith(parg):
return True
return False | python | {
"resource": ""
} |
q225627 | generate | train | def generate(degree, num_ctrlpts, **kwargs):
""" Generates an equally spaced knot vector.
It uses the following equality to generate knot vector: :math:`m = n + p + 1`
where;
* :math:`p`, degree
* :math:`n + 1`, number of control points
* :math:`m + 1`, number of knots
Keyword Arguments:... | python | {
"resource": ""
} |
q225628 | check | train | def check(degree, knot_vector, num_ctrlpts):
""" Checks the validity of the input knot vector.
Please refer to The NURBS Book (2nd Edition), p.50 for details.
:param degree: degree of the curve or the surface
:type degree: int
:param knot_vector: knot vector to be checked
:type knot_vector: li... | python | {
"resource": ""
} |
q225629 | interpolate_curve | train | def interpolate_curve(points, degree, **kwargs):
""" Curve interpolation through the data points.
Please refer to Algorithm A9.1 on The NURBS Book (2nd Edition), pp.369-370 for details.
Keyword Arguments:
* ``centripetal``: activates centripetal parametrization method. *Default: False*
:param... | python | {
"resource": ""
} |
q225630 | interpolate_surface | train | def interpolate_surface(points, size_u, size_v, degree_u, degree_v, **kwargs):
""" Surface interpolation through the data points.
Please refer to the Algorithm A9.4 on The NURBS Book (2nd Edition), pp.380 for details.
Keyword Arguments:
* ``centripetal``: activates centripetal parametrization meth... | python | {
"resource": ""
} |
q225631 | compute_knot_vector | train | def compute_knot_vector(degree, num_points, params):
""" Computes a knot vector from the parameter list using averaging method.
Please refer to the Equation 9.8 on The NURBS Book (2nd Edition), pp.365 for details.
:param degree: degree
:type degree: int
:param num_points: number of data points
... | python | {
"resource": ""
} |
q225632 | ginterp | train | def ginterp(coeff_matrix, points):
""" Applies global interpolation to the set of data points to find control points.
:param coeff_matrix: coefficient matrix
:type coeff_matrix: list, tuple
:param points: data points
:type points: list, tuple
:return: control points
:rtype: list
"""
... | python | {
"resource": ""
} |
q225633 | _build_coeff_matrix | train | def _build_coeff_matrix(degree, knotvector, params, points):
""" Builds the coefficient matrix for global interpolation.
This function only uses data points to build the coefficient matrix. Please refer to The NURBS Book (2nd Edition),
pp364-370 for details.
:param degree: degree
:type degree: int... | python | {
"resource": ""
} |
q225634 | create_render_window | train | def create_render_window(actors, callbacks, **kwargs):
""" Creates VTK render window with an interactor.
:param actors: list of VTK actors
:type actors: list, tuple
:param callbacks: callback functions for registering custom events
:type callbacks: dict
"""
# Get keyword arguments
figur... | python | {
"resource": ""
} |
q225635 | create_color | train | def create_color(color):
""" Creates VTK-compatible RGB color from a color string.
:param color: color
:type color: str
:return: RGB color values
:rtype: list
"""
if color[0] == "#":
# Convert hex string to RGB
return [int(color[i:i + 2], 16) / 255 for i in range(1, 7, 2)]
... | python | {
"resource": ""
} |
q225636 | create_actor_pts | train | def create_actor_pts(pts, color, **kwargs):
""" Creates a VTK actor for rendering scatter plots.
:param pts: points
:type pts: vtkFloatArray
:param color: actor color
:type color: list
:return: a VTK actor
:rtype: vtkActor
"""
# Keyword arguments
array_name = kwargs.get('name', ... | python | {
"resource": ""
} |
q225637 | create_actor_polygon | train | def create_actor_polygon(pts, color, **kwargs):
""" Creates a VTK actor for rendering polygons.
:param pts: points
:type pts: vtkFloatArray
:param color: actor color
:type color: list
:return: a VTK actor
:rtype: vtkActor
"""
# Keyword arguments
array_name = kwargs.get('name', "... | python | {
"resource": ""
} |
q225638 | create_actor_mesh | train | def create_actor_mesh(pts, lines, color, **kwargs):
""" Creates a VTK actor for rendering quadrilateral plots.
:param pts: points
:type pts: vtkFloatArray
:param lines: point connectivity information
:type lines: vtkIntArray
:param color: actor color
:type color: list
:return: a VTK act... | python | {
"resource": ""
} |
q225639 | create_actor_tri | train | def create_actor_tri(pts, tris, color, **kwargs):
""" Creates a VTK actor for rendering triangulated surface plots.
:param pts: points
:type pts: vtkFloatArray
:param tris: list of triangle indices
:type tris: ndarray
:param color: actor color
:type color: list
:return: a VTK actor
... | python | {
"resource": ""
} |
q225640 | create_actor_hexahedron | train | def create_actor_hexahedron(grid, color, **kwargs):
""" Creates a VTK actor for rendering voxels using hexahedron elements.
:param grid: grid
:type grid: ndarray
:param color: actor color
:type color: list
:return: a VTK actor
:rtype: vtkActor
"""
# Keyword arguments
array_name ... | python | {
"resource": ""
} |
q225641 | create_actor_delaunay | train | def create_actor_delaunay(pts, color, **kwargs):
""" Creates a VTK actor for rendering triangulated plots using Delaunay triangulation.
Keyword Arguments:
* ``d3d``: flag to choose between Delaunay2D (``False``) and Delaunay3D (``True``). *Default: False*
:param pts: points
:type pts: vtkFloat... | python | {
"resource": ""
} |
q225642 | flip_ctrlpts_u | train | def flip_ctrlpts_u(ctrlpts, size_u, size_v):
""" Flips a list of 1-dimensional control points from u-row order to v-row order.
**u-row order**: each row corresponds to a list of u values
**v-row order**: each row corresponds to a list of v values
:param ctrlpts: control points in u-row order
:typ... | python | {
"resource": ""
} |
q225643 | generate_ctrlptsw | train | def generate_ctrlptsw(ctrlpts):
""" Generates weighted control points from unweighted ones in 1-D.
This function
#. Takes in a 1-D control points list whose coordinates are organized in (x, y, z, w) format
#. converts into (x*w, y*w, z*w, w) format
#. Returns the result
:param ctrlpts: 1-D co... | python | {
"resource": ""
} |
q225644 | generate_ctrlpts_weights | train | def generate_ctrlpts_weights(ctrlpts):
""" Generates unweighted control points from weighted ones in 1-D.
This function
#. Takes in 1-D control points list whose coordinates are organized in (x*w, y*w, z*w, w) format
#. Converts the input control points list into (x, y, z, w) format
#. Returns the... | python | {
"resource": ""
} |
q225645 | combine_ctrlpts_weights | train | def combine_ctrlpts_weights(ctrlpts, weights=None):
""" Multiplies control points by the weights to generate weighted control points.
This function is dimension agnostic, i.e. control points can be in any dimension but weights should be 1D.
The ``weights`` function parameter can be set to None to let the ... | python | {
"resource": ""
} |
q225646 | separate_ctrlpts_weights | train | def separate_ctrlpts_weights(ctrlptsw):
""" Divides weighted control points by weights to generate unweighted control points and weights vector.
This function is dimension agnostic, i.e. control points can be in any dimension but the last element of the array
should indicate the weight.
:param ctrlpts... | python | {
"resource": ""
} |
q225647 | flip_ctrlpts2d_file | train | def flip_ctrlpts2d_file(file_in='', file_out='ctrlpts_flip.txt'):
""" Flips u and v directions of a 2D control points file and saves flipped coordinates to a file.
:param file_in: name of the input file (to be read)
:type file_in: str
:param file_out: name of the output file (to be saved)
:type fil... | python | {
"resource": ""
} |
q225648 | generate_ctrlptsw2d_file | train | def generate_ctrlptsw2d_file(file_in='', file_out='ctrlptsw.txt'):
""" Generates weighted control points from unweighted ones in 2-D.
This function
#. Takes in a 2-D control points file whose coordinates are organized in (x, y, z, w) format
#. Converts into (x*w, y*w, z*w, w) format
#. Saves the r... | python | {
"resource": ""
} |
q225649 | VisConfig.keypress_callback | train | def keypress_callback(self, obj, ev):
""" VTK callback for keypress events.
Keypress events:
* ``e``: exit the application
* ``p``: pick object (hover the mouse and then press to pick)
* ``f``: fly to point (click somewhere in the window and press to fly)
... | python | {
"resource": ""
} |
q225650 | generate_voxel_grid | train | def generate_voxel_grid(bbox, szval, use_cubes=False):
""" Generates the voxel grid with the desired size.
:param bbox: bounding box
:type bbox: list, tuple
:param szval: size in x-, y-, z-directions
:type szval: list, tuple
:param use_cubes: use cube voxels instead of cuboid ones
:type use... | python | {
"resource": ""
} |
q225651 | process_template | train | def process_template(file_src):
""" Process Jinja2 template input
:param file_src: file contents
:type file_src: str
"""
def tmpl_sqrt(x):
""" Square-root of 'x' """
return math.sqrt(x)
def tmpl_cubert(x):
""" Cube-root of 'x' """
return x ** (1.0 / 3.0) if x >=... | python | {
"resource": ""
} |
q225652 | import_surf_mesh | train | def import_surf_mesh(file_name):
""" Generates a NURBS surface object from a mesh file.
:param file_name: input mesh file
:type file_name: str
:return: a NURBS surface
:rtype: NURBS.Surface
"""
raw_content = read_file(file_name)
raw_content = raw_content.split("\n")
content = []
... | python | {
"resource": ""
} |
q225653 | import_vol_mesh | train | def import_vol_mesh(file_name):
""" Generates a NURBS volume object from a mesh file.
:param file_name: input mesh file
:type file_name: str
:return: a NURBS volume
:rtype: NURBS.Volume
"""
raw_content = read_file(file_name)
raw_content = raw_content.split("\n")
content = []
for... | python | {
"resource": ""
} |
q225654 | import_txt | train | def import_txt(file_name, two_dimensional=False, **kwargs):
""" Reads control points from a text file and generates a 1-dimensional list of control points.
The following code examples illustrate importing different types of text files for curves and surfaces:
.. code-block:: python
:linenos:
... | python | {
"resource": ""
} |
q225655 | export_txt | train | def export_txt(obj, file_name, two_dimensional=False, **kwargs):
""" Exports control points as a text file.
For curves the output is always a list of control points. For surfaces, it is possible to generate a 2-dimensional
control point output file using ``two_dimensional``.
Please see :py:func:`.exch... | python | {
"resource": ""
} |
q225656 | import_csv | train | def import_csv(file_name, **kwargs):
""" Reads control points from a CSV file and generates a 1-dimensional list of control points.
It is possible to use a different value separator via ``separator`` keyword argument. The following code segment
illustrates the usage of ``separator`` keyword argument.
... | python | {
"resource": ""
} |
q225657 | export_csv | train | def export_csv(obj, file_name, point_type='evalpts', **kwargs):
""" Exports control points or evaluated points as a CSV file.
:param obj: a spline geometry object
:type obj: abstract.SplineGeometry
:param file_name: output file name
:type file_name: str
:param point_type: ``ctrlpts`` for contro... | python | {
"resource": ""
} |
q225658 | import_cfg | train | def import_cfg(file_name, **kwargs):
""" Imports curves and surfaces from files in libconfig format.
.. note::
Requires `libconf <https://pypi.org/project/libconf/>`_ package.
Use ``jinja2=True`` to activate Jinja2 template processing. Please refer to the documentation for details.
:param fi... | python | {
"resource": ""
} |
q225659 | export_cfg | train | def export_cfg(obj, file_name):
""" Exports curves and surfaces in libconfig format.
.. note::
Requires `libconf <https://pypi.org/project/libconf/>`_ package.
Libconfig format is also used by the `geomdl command-line application <https://github.com/orbingol/geomdl-cli>`_
as a way to input sh... | python | {
"resource": ""
} |
q225660 | import_yaml | train | def import_yaml(file_name, **kwargs):
""" Imports curves and surfaces from files in YAML format.
.. note::
Requires `ruamel.yaml <https://pypi.org/project/ruamel.yaml/>`_ package.
Use ``jinja2=True`` to activate Jinja2 template processing. Please refer to the documentation for details.
:para... | python | {
"resource": ""
} |
q225661 | export_yaml | train | def export_yaml(obj, file_name):
""" Exports curves and surfaces in YAML format.
.. note::
Requires `ruamel.yaml <https://pypi.org/project/ruamel.yaml/>`_ package.
YAML format is also used by the `geomdl command-line application <https://github.com/orbingol/geomdl-cli>`_
as a way to input sha... | python | {
"resource": ""
} |
q225662 | import_json | train | def import_json(file_name, **kwargs):
""" Imports curves and surfaces from files in JSON format.
Use ``jinja2=True`` to activate Jinja2 template processing. Please refer to the documentation for details.
:param file_name: name of the input file
:type file_name: str
:return: a list of rational spli... | python | {
"resource": ""
} |
q225663 | export_json | train | def export_json(obj, file_name):
""" Exports curves and surfaces in JSON format.
JSON format is also used by the `geomdl command-line application <https://github.com/orbingol/geomdl-cli>`_
as a way to input shape data from the command line.
:param obj: input geometry
:type obj: abstract.SplineGeom... | python | {
"resource": ""
} |
q225664 | import_obj | train | def import_obj(file_name, **kwargs):
""" Reads .obj files and generates faces.
Keyword Arguments:
* ``callback``: reference to the function that processes the faces for customized output
The structure of the callback function is shown below:
.. code-block:: python
def my_callback_fun... | python | {
"resource": ""
} |
q225665 | select_color | train | def select_color(cpcolor, evalcolor, idx=0):
""" Selects item color for plotting.
:param cpcolor: color for control points grid item
:type cpcolor: str, list, tuple
:param evalcolor: color for evaluated points grid item
:type evalcolor: str, list, tuple
:param idx: index of the current geometry... | python | {
"resource": ""
} |
q225666 | process_tessellate | train | def process_tessellate(elem, update_delta, delta, **kwargs):
""" Tessellates surfaces.
.. note:: Helper function required for ``multiprocessing``
:param elem: surface
:type elem: abstract.Surface
:param update_delta: flag to control evaluation delta updates
:type update_delta: bool
:param ... | python | {
"resource": ""
} |
q225667 | process_elements_surface | train | def process_elements_surface(elem, mconf, colorval, idx, force_tsl, update_delta, delta, reset_names):
""" Processes visualization elements for surfaces.
.. note:: Helper function required for ``multiprocessing``
:param elem: surface
:type elem: abstract.Surface
:param mconf: visualization module ... | python | {
"resource": ""
} |
q225668 | find_span_binsearch | train | def find_span_binsearch(degree, knot_vector, num_ctrlpts, knot, **kwargs):
""" Finds the span of the knot over the input knot vector using binary search.
Implementation of Algorithm A2.1 from The NURBS Book by Piegl & Tiller.
The NURBS Book states that the knot span index always starts from zero, i.e. for... | python | {
"resource": ""
} |
q225669 | find_span_linear | train | def find_span_linear(degree, knot_vector, num_ctrlpts, knot, **kwargs):
""" Finds the span of a single knot over the knot vector using linear search.
Alternative implementation for the Algorithm A2.1 from The NURBS Book by Piegl & Tiller.
:param degree: degree, :math:`p`
:type degree: int
:param k... | python | {
"resource": ""
} |
q225670 | find_spans | train | def find_spans(degree, knot_vector, num_ctrlpts, knots, func=find_span_linear):
""" Finds spans of a list of knots over the knot vector.
:param degree: degree, :math:`p`
:type degree: int
:param knot_vector: knot vector, :math:`U`
:type knot_vector: list, tuple
:param num_ctrlpts: number of con... | python | {
"resource": ""
} |
q225671 | find_multiplicity | train | def find_multiplicity(knot, knot_vector, **kwargs):
""" Finds knot multiplicity over the knot vector.
Keyword Arguments:
* ``tol``: tolerance (delta) value for equality checking
:param knot: knot or parameter, :math:`u`
:type knot: float
:param knot_vector: knot vector, :math:`U`
:type... | python | {
"resource": ""
} |
q225672 | basis_function | train | def basis_function(degree, knot_vector, span, knot):
""" Computes the non-vanishing basis functions for a single parameter.
Implementation of Algorithm A2.2 from The NURBS Book by Piegl & Tiller.
:param degree: degree, :math:`p`
:type degree: int
:param knot_vector: knot vector, :math:`U`
:typ... | python | {
"resource": ""
} |
q225673 | basis_functions | train | def basis_functions(degree, knot_vector, spans, knots):
""" Computes the non-vanishing basis functions for a list of parameters.
:param degree: degree, :math:`p`
:type degree: int
:param knot_vector: knot vector, :math:`U`
:type knot_vector: list, tuple
:param spans: list of knot spans
:typ... | python | {
"resource": ""
} |
q225674 | basis_function_all | train | def basis_function_all(degree, knot_vector, span, knot):
""" Computes all non-zero basis functions of all degrees from 0 up to the input degree for a single parameter.
A slightly modified version of Algorithm A2.2 from The NURBS Book by Piegl & Tiller.
:param degree: degree, :math:`p`
:type degree: in... | python | {
"resource": ""
} |
q225675 | basis_functions_ders | train | def basis_functions_ders(degree, knot_vector, spans, knots, order):
""" Computes derivatives of the basis functions for a list of parameters.
:param degree: degree, :math:`p`
:type degree: int
:param knot_vector: knot vector, :math:`U`
:type knot_vector: list, tuple
:param spans: list of knot s... | python | {
"resource": ""
} |
q225676 | basis_function_one | train | def basis_function_one(degree, knot_vector, span, knot):
""" Computes the value of a basis function for a single parameter.
Implementation of Algorithm 2.4 from The NURBS Book by Piegl & Tiller.
:param degree: degree, :math:`p`
:type degree: int
:param knot_vector: knot vector
:type knot_vecto... | python | {
"resource": ""
} |
q225677 | VisConfig.set_axes_equal | train | def set_axes_equal(ax):
""" Sets equal aspect ratio across the three axes of a 3D plot.
Contributed by Xuefeng Zhao.
:param ax: a Matplotlib axis, e.g., as output from plt.gca().
"""
bounds = [ax.get_xlim3d(), ax.get_ylim3d(), ax.get_zlim3d()]
ranges = [abs(bound[1] - b... | python | {
"resource": ""
} |
q225678 | VisSurface.animate | train | def animate(self, **kwargs):
""" Animates the surface.
This function only animates the triangulated surface. There will be no other elements, such as control points
grid or bounding box.
Keyword arguments:
* ``colormap``: applies colormap to the surface
Colormaps a... | python | {
"resource": ""
} |
q225679 | tangent_curve_single_list | train | def tangent_curve_single_list(obj, param_list, normalize):
""" Evaluates the curve tangent vectors at the given list of parameter values.
:param obj: input curve
:type obj: abstract.Curve
:param param_list: parameter list
:type param_list: list or tuple
:param normalize: if True, the returned v... | python | {
"resource": ""
} |
q225680 | normal_curve_single | train | def normal_curve_single(obj, u, normalize):
""" Evaluates the curve normal vector at the input parameter, u.
Curve normal is calculated from the 2nd derivative of the curve at the input parameter, u.
The output returns a list containing the starting point (i.e. origin) of the vector and the vector itself.
... | python | {
"resource": ""
} |
q225681 | normal_curve_single_list | train | def normal_curve_single_list(obj, param_list, normalize):
""" Evaluates the curve normal vectors at the given list of parameter values.
:param obj: input curve
:type obj: abstract.Curve
:param param_list: parameter list
:type param_list: list or tuple
:param normalize: if True, the returned vec... | python | {
"resource": ""
} |
q225682 | binormal_curve_single | train | def binormal_curve_single(obj, u, normalize):
""" Evaluates the curve binormal vector at the given u parameter.
Curve binormal is the cross product of the normal and the tangent vectors.
The output returns a list containing the starting point (i.e. origin) of the vector and the vector itself.
:param o... | python | {
"resource": ""
} |
q225683 | binormal_curve_single_list | train | def binormal_curve_single_list(obj, param_list, normalize):
""" Evaluates the curve binormal vectors at the given list of parameter values.
:param obj: input curve
:type obj: abstract.Curve
:param param_list: parameter list
:type param_list: list or tuple
:param normalize: if True, the returned... | python | {
"resource": ""
} |
q225684 | tangent_surface_single_list | train | def tangent_surface_single_list(obj, param_list, normalize):
""" Evaluates the surface tangent vectors at the given list of parameter values.
:param obj: input surface
:type obj: abstract.Surface
:param param_list: parameter list
:type param_list: list or tuple
:param normalize: if True, the re... | python | {
"resource": ""
} |
q225685 | normal_surface_single_list | train | def normal_surface_single_list(obj, param_list, normalize):
""" Evaluates the surface normal vectors at the given list of parameter values.
:param obj: input surface
:type obj: abstract.Surface
:param param_list: parameter list
:type param_list: list or tuple
:param normalize: if True, the retu... | python | {
"resource": ""
} |
q225686 | find_ctrlpts_curve | train | def find_ctrlpts_curve(t, curve, **kwargs):
""" Finds the control points involved in the evaluation of the curve point defined by the input parameter.
This function uses a modified version of the algorithm *A3.1 CurvePoint* from The NURBS Book by Piegl & Tiller.
:param t: parameter
:type t: float
... | python | {
"resource": ""
} |
q225687 | find_ctrlpts_surface | train | def find_ctrlpts_surface(t_u, t_v, surf, **kwargs):
""" Finds the control points involved in the evaluation of the surface point defined by the input parameter pair.
This function uses a modified version of the algorithm *A3.5 SurfacePoint* from The NURBS Book by Piegl & Tiller.
:param t_u: parameter on t... | python | {
"resource": ""
} |
q225688 | link_curves | train | def link_curves(*args, **kwargs):
""" Links the input curves together.
The end control point of the curve k has to be the same with the start control point of the curve k + 1.
Keyword Arguments:
* ``tol``: tolerance value for checking equality. *Default: 10e-8*
* ``validate``: flag to enab... | python | {
"resource": ""
} |
q225689 | add_dimension | train | def add_dimension(obj, **kwargs):
""" Elevates the spatial dimension of the spline geometry.
If you pass ``inplace=True`` keyword argument, the input will be updated. Otherwise, this function does not
change the input but returns a new instance with the updated data.
:param obj: spline geometry
:t... | python | {
"resource": ""
} |
q225690 | split_curve | train | def split_curve(obj, param, **kwargs):
""" Splits the curve at the input parametric coordinate.
This method splits the curve into two pieces at the given parametric coordinate, generates two different
curve objects and returns them. It does not modify the input curve.
Keyword Arguments:
* ``fi... | python | {
"resource": ""
} |
q225691 | decompose_curve | train | def decompose_curve(obj, **kwargs):
""" Decomposes the curve into Bezier curve segments of the same degree.
This operation does not modify the input curve, instead it returns the split curve segments.
Keyword Arguments:
* ``find_span_func``: FindSpan implementation. *Default:* :func:`.helpers.find... | python | {
"resource": ""
} |
q225692 | length_curve | train | def length_curve(obj):
""" Computes the approximate length of the parametric curve.
Uses the following equation to compute the approximate length:
.. math::
\\sum_{i=0}^{n-1} \\sqrt{P_{i + 1}^2-P_{i}^2}
where :math:`n` is number of evaluated curve points and :math:`P` is the n-dimensional po... | python | {
"resource": ""
} |
q225693 | split_surface_u | train | def split_surface_u(obj, param, **kwargs):
""" Splits the surface at the input parametric coordinate on the u-direction.
This method splits the surface into two pieces at the given parametric coordinate on the u-direction,
generates two different surface objects and returns them. It does not modify the inp... | python | {
"resource": ""
} |
q225694 | decompose_surface | train | def decompose_surface(obj, **kwargs):
""" Decomposes the surface into Bezier surface patches of the same degree.
This operation does not modify the input surface, instead it returns the surface patches.
Keyword Arguments:
* ``find_span_func``: FindSpan implementation. *Default:* :func:`.helpers.fi... | python | {
"resource": ""
} |
q225695 | tangent | train | def tangent(obj, params, **kwargs):
""" Evaluates the tangent vector of the curves or surfaces at the input parameter values.
This function is designed to evaluate tangent vectors of the B-Spline and NURBS shapes at single or
multiple parameter positions.
:param obj: input shape
:type obj: abstrac... | python | {
"resource": ""
} |
q225696 | normal | train | def normal(obj, params, **kwargs):
""" Evaluates the normal vector of the curves or surfaces at the input parameter values.
This function is designed to evaluate normal vectors of the B-Spline and NURBS shapes at single or
multiple parameter positions.
:param obj: input geometry
:type obj: abstrac... | python | {
"resource": ""
} |
q225697 | binormal | train | def binormal(obj, params, **kwargs):
""" Evaluates the binormal vector of the curves or surfaces at the input parameter values.
This function is designed to evaluate binormal vectors of the B-Spline and NURBS shapes at single or
multiple parameter positions.
:param obj: input shape
:type obj: abst... | python | {
"resource": ""
} |
q225698 | translate | train | def translate(obj, vec, **kwargs):
""" Translates curves, surface or volumes by the input vector.
Keyword Arguments:
* ``inplace``: if False, operation applied to a copy of the object. *Default: False*
:param obj: input geometry
:type obj: abstract.SplineGeometry or multi.AbstractContainer
... | python | {
"resource": ""
} |
q225699 | scale | train | def scale(obj, multiplier, **kwargs):
""" Scales curves, surfaces or volumes by the input multiplier.
Keyword Arguments:
* ``inplace``: if False, operation applied to a copy of the object. *Default: False*
:param obj: input geometry
:type obj: abstract.SplineGeometry, multi.AbstractGeometry
... | python | {
"resource": ""
} |
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