text_prompt stringlengths 157 13.1k | code_prompt stringlengths 7 19.8k ⌀ |
|---|---|
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def parse_memory(s):
"""Converts bytes expression to number of mebibytes. If no unit is specified, ``MiB`` is used.""" |
if isinstance(s, integer):
out = s
elif isinstance(s, float):
out = math_ceil(s)
elif isinstance(s, string):
s = s.replace(' ', '')
if not s:
raise context.ValueError("Could not interpret %r as a byte unit" % s)
if s[0].isdigit():
for i, c i... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def from_default(cls):
"""The default security configuration. Usually this loads the credentials stored in the configuration directory (``~/.skein`` by default).... |
from .core import properties
# Are we in a container started by skein?
if properties.application_id is not None:
if properties.container_dir is not None:
cert_path = os.path.join(properties.container_dir, '.skein.crt')
key_path = os.path.join(propert... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def from_directory(cls, directory):
"""Create a security object from a directory. Relies on standard names for each file (``skein.crt`` and ``skein.pem``).""" |
cert_path = os.path.join(directory, 'skein.crt')
key_path = os.path.join(directory, 'skein.pem')
for path, name in [(cert_path, 'cert'), (key_path, 'key')]:
if not os.path.exists(path):
raise context.FileNotFoundError(
"Security %s file not found ... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def to_directory(self, directory, force=False):
"""Write this security object to a directory. Parameters directory : str The directory to write the configuration... |
self._validate()
# Create directory if it doesn't exist
makedirs(directory, exist_ok=True)
cert_path = os.path.join(directory, 'skein.crt')
key_path = os.path.join(directory, 'skein.pem')
cert_bytes = self._get_bytes('cert')
key_bytes = self._get_bytes('key')
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def _from_any(cls, spec):
"""Generic creation method for all types accepted as ``spec``""" |
if isinstance(spec, str):
spec = cls.from_file(spec)
elif isinstance(spec, dict):
spec = cls.from_dict(spec)
elif not isinstance(spec, cls):
raise context.TypeError("spec must be either an ApplicationSpec, "
"path, or dict,... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def from_file(cls, path, format='infer'):
"""Create an instance from a json or yaml file. Parameters path : str The path to the file to load. format : {'infer', ... |
format = _infer_format(path, format=format)
origin = os.path.abspath(os.path.dirname(path))
with open(path) as f:
data = f.read()
if format == 'json':
obj = json.loads(data)
else:
obj = yaml.safe_load(data)
return cls.from_dict(obj, _... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def to_file(self, path, format='infer', skip_nulls=True):
"""Write object to a file. Parameters path : str The path to the file to load. format : {'infer', 'json... |
format = _infer_format(path, format=format)
data = getattr(self, 'to_' + format)(skip_nulls=skip_nulls)
with open(path, mode='w') as f:
f.write(data) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def lock_file(path):
"""File based lock on ``path``. Creates a file based lock. When acquired, other processes or threads are prevented from acquiring the same l... |
with _paths_lock:
lock = _paths_to_locks.get(path)
if lock is None:
_paths_to_locks[path] = lock = _FileLock(path)
return lock |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def grpc_fork_support_disabled():
"""Temporarily disable fork support in gRPC. Fork + exec has always been supported, but the recent fork handling code in gRPC (... |
if LooseVersion(GRPC_VERSION) < '1.18.0':
key = 'GRPC_ENABLE_FORK_SUPPORT'
try:
os.environ[key] = '0'
yield
finally:
del os.environ[key]
else:
yield |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def humanize_timedelta(td):
"""Pretty-print a timedelta in a human readable format.""" |
secs = int(td.total_seconds())
hours, secs = divmod(secs, 60 * 60)
mins, secs = divmod(secs, 60)
if hours:
return '%dh %dm' % (hours, mins)
if mins:
return '%dm' % mins
return '%ds' % secs |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def datetime_to_millis(x):
"""Convert a `datetime.datetime` to milliseconds since the epoch""" |
if x is None:
return None
if hasattr(x, 'timestamp'):
# Python >= 3.3
secs = x.timestamp()
elif x.tzinfo is None:
# Timezone naive
secs = (time.mktime((x.year, x.month, x.day,
x.hour, x.minute, x.second,
-1, -... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def format_table(columns, rows):
"""Formats an ascii table for given columns and rows. Parameters columns : list The column names rows : list of tuples The rows ... |
rows = [tuple(str(i) for i in r) for r in rows]
columns = tuple(str(i).upper() for i in columns)
if rows:
widths = tuple(max(max(map(len, x)), len(c))
for x, c in zip(zip(*rows), columns))
else:
widths = tuple(map(len, columns))
row_template = (' '.join('%%... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def build_attrs(self, *args, **kwargs):
"""Add select2 data attributes.""" |
attrs = super(Select2Mixin, self).build_attrs(*args, **kwargs)
if self.is_required:
attrs.setdefault('data-allow-clear', 'false')
else:
attrs.setdefault('data-allow-clear', 'true')
attrs.setdefault('data-placeholder', '')
attrs.setdefault('data-minim... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def optgroups(self, name, value, attrs=None):
"""Add empty option for clearable selects.""" |
if not self.is_required and not self.allow_multiple_selected:
self.choices = list(chain([('', '')], self.choices))
return super(Select2Mixin, self).optgroups(name, value, attrs=attrs) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def _get_media(self):
""" Construct Media as a dynamic property. .. Note:: For more information visit https://docs.djangoproject.com/en/stable/topics/forms/media... |
lang = get_language()
select2_js = (settings.SELECT2_JS,) if settings.SELECT2_JS else ()
select2_css = (settings.SELECT2_CSS,) if settings.SELECT2_CSS else ()
i18n_name = SELECT2_TRANSLATIONS.get(lang)
if i18n_name not in settings.SELECT2_I18N_AVAILABLE_LANGUAGES:
i... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def build_attrs(self, *args, **kwargs):
"""Add select2's tag attributes.""" |
self.attrs.setdefault('data-minimum-input-length', 1)
self.attrs.setdefault('data-tags', 'true')
self.attrs.setdefault('data-token-separators', '[",", " "]')
return super(Select2TagMixin, self).build_attrs(*args, **kwargs) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def build_attrs(self, *args, **kwargs):
"""Set select2's AJAX attributes.""" |
attrs = super(HeavySelect2Mixin, self).build_attrs(*args, **kwargs)
# encrypt instance Id
self.widget_id = signing.dumps(id(self))
attrs['data-field_id'] = self.widget_id
attrs.setdefault('data-ajax--url', self.get_url())
attrs.setdefault('data-ajax--cache', "true")
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def render(self, *args, **kwargs):
"""Render widget and register it in Django's cache.""" |
output = super(HeavySelect2Mixin, self).render(*args, **kwargs)
self.set_to_cache()
return output |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def set_to_cache(self):
""" Add widget object to Django's cache. You may need to overwrite this method, to pickle all information that is required to serve your ... |
try:
cache.set(self._get_cache_key(), {
'widget': self,
'url': self.get_url(),
})
except (PicklingError, AttributeError):
msg = "You need to overwrite \"set_to_cache\" or ensure that %s is serialisable."
raise NotImplemente... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def set_to_cache(self):
""" Add widget's attributes to Django's cache. Split the QuerySet, to not pickle the result set. """ |
queryset = self.get_queryset()
cache.set(self._get_cache_key(), {
'queryset':
[
queryset.none(),
queryset.query,
],
'cls': self.__class__,
'search_fields': tuple(self.search_fields),
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def filter_queryset(self, request, term, queryset=None, **dependent_fields):
""" Return QuerySet filtered by search_fields matching the passed term. Args: reques... |
if queryset is None:
queryset = self.get_queryset()
search_fields = self.get_search_fields()
select = Q()
term = term.replace('\t', ' ')
term = term.replace('\n', ' ')
for t in [t for t in term.split(' ') if not t == '']:
select &= reduce(lambda x... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def get_search_fields(self):
"""Return list of lookup names.""" |
if self.search_fields:
return self.search_fields
raise NotImplementedError('%s, must implement "search_fields".' % self.__class__.__name__) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def optgroups(self, name, value, attrs=None):
"""Return only selected options and set QuerySet from `ModelChoicesIterator`.""" |
default = (None, [], 0)
groups = [default]
has_selected = False
selected_choices = {str(v) for v in value}
if not self.is_required and not self.allow_multiple_selected:
default[1].append(self.create_option(name, '', '', False, 0))
if not isinstance(self.choic... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def get_queryset(self):
"""Get QuerySet from cached widget.""" |
kwargs = {
model_field_name: self.request.GET.get(form_field_name)
for form_field_name, model_field_name in self.widget.dependent_fields.items()
if form_field_name in self.request.GET and self.request.GET.get(form_field_name, '') != ''
}
return self.widget.fi... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def get_widget_or_404(self):
""" Get and return widget from cache. Raises: Http404: If if the widget can not be found or no id is provided. Returns: ModelSelect2... |
field_id = self.kwargs.get('field_id', self.request.GET.get('field_id', None))
if not field_id:
raise Http404('No "field_id" provided.')
try:
key = signing.loads(field_id)
except BadSignature:
raise Http404('Invalid "field_id".')
else:
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def load_widget(path):
""" Load custom widget for the form field """ |
i = path.rfind('.')
module, attr = path[:i], path[i + 1:]
try:
mod = import_module(module)
except (ImportError, ValueError) as e:
error_message = 'Error importing widget for BleachField %s: "%s"'
raise ImproperlyConfigured(error_message % (path, e))
try:
cls = getat... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def get_default_widget():
""" Get the default widget or the widget defined in settings """ |
default_widget = forms.Textarea
if hasattr(settings, 'BLEACH_DEFAULT_WIDGET'):
default_widget = load_widget(settings.BLEACH_DEFAULT_WIDGET)
return default_widget |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def to_python(self, value):
""" Strips any dodgy HTML tags from the input """ |
if value in self.empty_values:
try:
return self.empty_value
except AttributeError:
# CharField.empty_value was introduced in Django 1.11; in prior
# versions a unicode string was returned for empty values in
# all cases.
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def build_dynamic_field(self, group, field_meta):
""" Builds a field based on JIRA's meta field information """ |
schema = field_meta['schema']
# set up some defaults for form fields
fieldtype = 'text'
fkwargs = {
'label': field_meta['name'],
'required': field_meta['required'],
}
# override defaults based on field configuration
if (schema['type'] in ... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def create_issue(self, request, group, form_data, **kwargs):
""" Creates the issue on the remote service and returns an issue ID. """ |
instance = self.get_option('instance', group.project)
project = (
form_data.get('project') or
self.get_option('default_project', group.project)
)
client = self.get_client(request.user)
title = form_data['title']
description = form_data['descript... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def _format_date_param(params, key, format="%Y-%m-%d %H:%M:%S"):
""" Utility function to convert datetime values to strings. If the value is already a str, or is... |
if key in params:
param = params[key]
if hasattr(param, "strftime"):
params[key] = param.strftime(format) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def submit_sms_conversion(self, message_id, delivered=True, timestamp=None):
""" Notify Nexmo that an SMS was successfully received. :param message_id: The `mess... |
params = {
"message-id": message_id,
"delivered": delivered,
"timestamp": timestamp or datetime.now(pytz.utc),
}
# Ensure timestamp is a string:
_format_date_param(params, "timestamp")
return self.post(self.api_host, "/conversions/sms", params... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def get_stripped_file_lines(filename):
""" Return lines of a file with whitespace removed """ |
try:
lines = open(filename).readlines()
except FileNotFoundError:
fatal("Could not open file: {!r}".format(filename))
return [line.strip() for line in lines] |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
| def create_settings(from_environment=False, locustfile=None,
classes=None, host=None, num_clients=None,
hatch_rate=None, reset_stats=False, run_time="3m"):
'''
Returns a settings object to be used by a LocalLocustRunner.
Arguments
from_environment: get settings from environment var... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
| def get_lambda_runtime_info(context):
'''
Returns a dictionary of information about the AWS Lambda function invocation
Arguments
context: The context object from AWS Lambda.
'''
runtime_info = {
'remaining_time': context.get_remaining_time_in_millis(),
'function_name': context... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def solvedbi_sm(ah, rho, b, c=None, axis=4):
r""" Solve a diagonal block linear system with a scaled identity term using the Sherman-Morrison equation. The solut... |
a = np.conj(ah)
if c is None:
c = solvedbi_sm_c(ah, a, rho, axis)
if have_numexpr:
cb = inner(c, b, axis=axis)
return ne.evaluate('(b - (a * cb)) / rho')
else:
return (b - (a * inner(c, b, axis=axis))) / rho |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def solvedbd_sm(ah, d, b, c=None, axis=4):
r""" Solve a diagonal block linear system with a diagonal term using the Sherman-Morrison equation. The solution is ob... |
a = np.conj(ah)
if c is None:
c = solvedbd_sm_c(ah, a, d, axis)
if have_numexpr:
cb = inner(c, b, axis=axis)
return ne.evaluate('(b - (a * cb)) / d')
else:
return (b - (a * inner(c, b, axis=axis))) / d |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def Gax(x, ax):
""" Compute gradient of `x` along axis `ax`. Parameters x : array_like Input array ax : int Axis on which gradient is to be computed Returns ----... |
slc = (slice(None),)*ax + (slice(-1, None),)
xg = np.roll(x, -1, axis=ax) - x
xg[slc] = 0.0
return xg |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def GTax(x, ax):
""" Compute transpose of gradient of `x` along axis `ax`. Parameters x : array_like Input array ax : int Axis on which gradient transpose is to ... |
slc0 = (slice(None),) * ax
xg = np.roll(x, 1, axis=ax) - x
xg[slc0 + (slice(0, 1),)] = -x[slc0 + (slice(0, 1),)]
xg[slc0 + (slice(-1, None),)] = x[slc0 + (slice(-2, -1),)]
return xg |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def GradientFilters(ndim, axes, axshp, dtype=None):
r""" Construct a set of filters for computing gradients in the frequency domain. Parameters ndim : integer To... |
if dtype is None:
dtype = np.float32
g = np.zeros([2 if k in axes else 1 for k in range(ndim)] +
[len(axes),], dtype)
for k in axes:
g[(0,) * k + (slice(None),) + (0,) * (g.ndim - 2 - k) + (k,)] = \
np.array([1, -1])
Gf = rfftn(g, axshp, axes=axes)
GHGf... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def promote16(u, fn=None, *args, **kwargs):
r""" Utility function for use with functions that do not support arrays of dtype ``np.float16``. This function has tw... |
dtype = np.float32 if u.dtype == np.float16 else u.dtype
up = np.asarray(u, dtype=dtype)
if fn is None:
return up
else:
v = fn(up, *args, **kwargs)
if isinstance(v, tuple):
vp = tuple([np.asarray(vk, dtype=u.dtype) for vk in v])
else:
vp = np.asa... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def LaplaceCentreWeight(self):
"""Centre weighting matrix for TV Laplacian.""" |
sz = [1,] * self.S.ndim
for ax in self.axes:
sz[ax] = self.S.shape[ax]
lcw = 2*len(self.axes)*np.ones(sz, dtype=self.dtype)
for ax in self.axes:
lcw[(slice(None),)*ax + ([0, -1],)] -= 1.0
return lcw |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def GaussSeidelStep(self, S, X, ATYU, rho, lcw, W2):
"""Gauss-Seidel step for linear system in TV problem.""" |
Xss = np.zeros_like(S, dtype=self.dtype)
for ax in self.axes:
Xss += sl.zpad(X[(slice(None),)*ax + (slice(0, -1),)],
(1, 0), ax)
Xss += sl.zpad(X[(slice(None),)*ax + (slice(1, None),)],
(0, 1), ax)
return (rho*(Xss +... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def runtime(self):
"""Transitional property providing access to the new timer mechanism. This will be removed in the future. """ |
warnings.warn("admm.ADMM.runtime attribute has been replaced by "
"an upgraded timer class: please see the documentation "
"for admm.ADMM.solve method and util.Timer class",
PendingDeprecationWarning)
return self.timer.elapsed('init') +... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def ustep(self):
"""Dual variable update.""" |
self.U += self.rsdl_r(self.AX, self.Y) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def update_rho(self, k, r, s):
"""Automatic rho adjustment.""" |
if self.opt['AutoRho', 'Enabled']:
tau = self.rho_tau
mu = self.rho_mu
xi = self.rho_xi
if k != 0 and np.mod(k + 1, self.opt['AutoRho', 'Period']) == 0:
if self.opt['AutoRho', 'AutoScaling']:
if s == 0.0 or r == 0.0:
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def display_status(self, fmtstr, itst):
"""Display current iteration status as selection of fields from iteration stats tuple. """ |
if self.opt['Verbose']:
hdrtxt = type(self).hdrtxt()
hdrval = type(self).hdrval()
itdsp = tuple([getattr(itst, hdrval[col]) for col in hdrtxt])
if not self.opt['AutoRho', 'Enabled']:
itdsp = itdsp[0:-1]
print(fmtstr % itdsp) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def rsdl_sn(self, U):
"""Compute dual residual normalisation term. Overriding this method is required if methods :meth:`cnst_A`, :meth:`cnst_AT`, :meth:`cnst_B`,... |
return self.rho * np.linalg.norm(self.cnst_AT(U)) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def getmin(self):
"""Get minimiser after optimisation.""" |
if self.opt['ReturnVar'] == 'X':
return self.var_x()
elif self.opt['ReturnVar'] == 'Y0':
return self.var_y0()
elif self.opt['ReturnVar'] == 'Y1':
return self.var_y1()
else:
raise ValueError(self.opt['ReturnVar'] + ' is not a valid value'
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def cbpdnmsk_class_label_lookup(label):
"""Get a ConvBPDNMask class from a label string.""" |
clsmod = {'admm': admm_cbpdn.ConvBPDNMaskDcpl,
'fista': fista_cbpdn.ConvBPDNMask}
if label in clsmod:
return clsmod[label]
else:
raise ValueError('Unknown ConvBPDNMask solver method %s' % label) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def ConvBPDNMaskOptionsDefaults(method='admm'):
"""Get defaults dict for the ConvBPDNMask class specified by the ``method`` parameter. """ |
dflt = copy.deepcopy(cbpdnmsk_class_label_lookup(method).Options.defaults)
if method == 'admm':
dflt.update({'MaxMainIter': 1, 'AutoRho':
{'Period': 10, 'AutoScaling': False,
'RsdlRatio': 10.0, 'Scaling': 2.0,
'RsdlTarget': 1.0}})
el... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def ccmodmsk_class_label_lookup(label):
"""Get a ConvCnstrMODMask class from a label string.""" |
clsmod = {'ism': admm_ccmod.ConvCnstrMODMaskDcpl_IterSM,
'cg': admm_ccmod.ConvCnstrMODMaskDcpl_CG,
'cns': admm_ccmod.ConvCnstrMODMaskDcpl_Consensus,
'fista': fista_ccmod.ConvCnstrMODMask}
if label in clsmod:
return clsmod[label]
else:
raise ValueEr... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def ConvCnstrMODMaskOptionsDefaults(method='fista'):
"""Get defaults dict for the ConvCnstrMODMask class specified by the ``method`` parameter. """ |
dflt = copy.deepcopy(ccmodmsk_class_label_lookup(method).Options.defaults)
if method == 'fista':
dflt.update({'MaxMainIter': 1, 'BackTrack':
{'gamma_u': 1.2, 'MaxIter': 50}})
else:
dflt.update({'MaxMainIter': 1, 'AutoRho':
{'Period': 10, 'AutoScali... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def pathsplit(pth, dropext=True):
"""Split a path into a tuple of all of its components.""" |
if dropext:
pth = os.path.splitext(pth)[0]
parts = os.path.split(pth)
if parts[0] == '':
return parts[1:]
elif len(parts[0]) == 1:
return parts
else:
return pathsplit(parts[0], dropext=False) + parts[1:] |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def update_required(srcpth, dstpth):
""" If the file at `dstpth` is generated from the file at `srcpth`, determine whether an update is required. Returns True if... |
return not os.path.exists(dstpth) or \
os.stat(srcpth).st_mtime > os.stat(dstpth).st_mtime |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def read_sphinx_environment(pth):
"""Read the sphinx environment.pickle file at path `pth`.""" |
with open(pth, 'rb') as fo:
env = pickle.load(fo)
return env |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def parse_rst_index(rstpth):
""" Parse the top-level RST index file, at `rstpth`, for the example python scripts. Returns a list of subdirectories in order of ap... |
pthidx = {}
pthlst = []
with open(rstpth) as fd:
lines = fd.readlines()
for i, l in enumerate(lines):
if i > 0:
if re.match(r'^ \w+', l) is not None and \
re.match(r'^\w+', lines[i - 1]) is not None:
# List of subdirectories in order of appea... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def preprocess_script_string(str):
""" Process python script represented as string `str` in preparation for conversion to a notebook. This processing includes re... |
# Remove header comment
str = re.sub(r'^(#[^#\n]+\n){5}\n*', r'', str)
# Insert notebook plotting configuration function
str = re.sub(r'from sporco import plot', r'from sporco import plot'
'\nplot.config_notebook_plotting()',
str, flags=re.MULTILINE)
# Remove fina... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def script_string_to_notebook(str, pth):
""" Convert a python script represented as string `str` to a notebook with filename `pth`. """ |
nb = py2jn.py_string_to_notebook(str)
py2jn.write_notebook(nb, pth) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def script_to_notebook(spth, npth, cr):
""" Convert the script at `spth` to a notebook at `npth`. Parameter `cr` is a CrossReferenceLookup object. """ |
# Read entire text of example script
with open(spth) as f:
stxt = f.read()
# Process script text
stxt = preprocess_script_string(stxt)
# If the notebook file exists and has been executed, try to
# update markdown cells without deleting output cells
if os.path.exists(npth) and note... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def script_string_to_notebook_with_links(str, pth, cr=None):
""" Convert a python script represented as string `str` to a notebook with filename `pth` and replac... |
if cr is None:
script_string_to_notebook(str, pth)
else:
ntbk = script_string_to_notebook_object(str)
notebook_substitute_ref_with_url(ntbk, cr)
with open(pth, 'wt') as f:
nbformat.write(ntbk, f) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def rst_to_notebook(infile, outfile):
"""Convert an rst file to a notebook file.""" |
# Read infile into a string
with open(infile, 'r') as fin:
rststr = fin.read()
# Convert string from rst to markdown
mdfmt = 'markdown_github+tex_math_dollars+fenced_code_attributes'
mdstr = pypandoc.convert_text(rststr, mdfmt, format='rst',
extra_args=['-... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def markdown_to_notebook(infile, outfile):
"""Convert a markdown file to a notebook file.""" |
# Read infile into a string
with open(infile, 'r') as fin:
str = fin.read()
# Enclose the markdown within triple quotes and convert from
# python to notebook
str = '"""' + str + '"""'
nb = py2jn.py_string_to_notebook(str)
py2jn.tools.write_notebook(nb, outfile, nbver=4) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def rst_to_docs_rst(infile, outfile):
"""Convert an rst file to a sphinx docs rst file.""" |
# Read infile into a list of lines
with open(infile, 'r') as fin:
rst = fin.readlines()
# Inspect outfile path components to determine whether outfile
# is in the root of the examples directory or in a subdirectory
# thererof
ps = pathsplit(outfile)[-3:]
if ps[-2] == 'examples':
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def parse_notebook_index(ntbkpth):
""" Parse the top-level notebook index file at `ntbkpth`. Returns a list of subdirectories in order of appearance in the index... |
# Convert notebook to RST text in string
rex = RSTExporter()
rsttxt = rex.from_filename(ntbkpth)[0]
# Clean up trailing whitespace
rsttxt = re.sub(r'\n ', r'', rsttxt, re.M | re.S)
pthidx = {}
pthlst = []
lines = rsttxt.split('\n')
for l in lines:
m = re.match(r'^-\s+`([^<... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def construct_notebook_index(title, pthlst, pthidx):
""" Construct a string containing a markdown format index for the list of paths in `pthlst`. The title for t... |
# Insert title text
txt = '"""\n## %s\n"""\n\n"""' % title
# Insert entry for each item in pthlst
for pth in pthlst:
# If pth refers to a .py file, replace .py with .ipynb, otherwise
# assume it's a directory name and append '/index.ipynb'
if pth[-3:] == '.py':
link... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def notebook_executed(pth):
"""Determine whether the notebook at `pth` has been executed.""" |
nb = nbformat.read(pth, as_version=4)
for n in range(len(nb['cells'])):
if nb['cells'][n].cell_type == 'code' and \
nb['cells'][n].execution_count is None:
return False
return True |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def same_notebook_code(nb1, nb2):
""" Return true of the code cells of notebook objects `nb1` and `nb2` are the same. """ |
# Notebooks do not match of the number of cells differ
if len(nb1['cells']) != len(nb2['cells']):
return False
# Iterate over cells in nb1
for n in range(len(nb1['cells'])):
# Notebooks do not match if corresponding cells have different
# types
if nb1['cells'][n]['cell... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def execute_notebook(npth, dpth, timeout=1200, kernel='python3'):
""" Execute the notebook at `npth` using `dpth` as the execution directory. The execution timeo... |
ep = ExecutePreprocessor(timeout=timeout, kernel_name=kernel)
nb = nbformat.read(npth, as_version=4)
t0 = timer()
ep.preprocess(nb, {'metadata': {'path': dpth}})
t1 = timer()
with open(npth, 'wt') as f:
nbformat.write(nb, f)
return t1 - t0 |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def replace_markdown_cells(src, dst):
""" Overwrite markdown cells in notebook object `dst` with corresponding cells in notebook object `src`. """ |
# It is an error to attempt markdown replacement if src and dst
# have different numbers of cells
if len(src['cells']) != len(dst['cells']):
raise ValueError('notebooks do not have the same number of cells')
# Iterate over cells in src
for n in range(len(src['cells'])):
# It is an... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def notebook_substitute_ref_with_url(ntbk, cr):
""" In markdown cells of notebook object `ntbk`, replace sphinx cross-references with links to online docs. Param... |
# Iterate over cells in notebook
for n in range(len(ntbk['cells'])):
# Only process cells of type 'markdown'
if ntbk['cells'][n]['cell_type'] == 'markdown':
# Get text of markdown cell
txt = ntbk['cells'][n]['source']
# Replace links to online docs with sphi... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def preprocess_notebook(ntbk, cr):
""" Process notebook object `ntbk` in preparation for conversion to an rst document. This processing replaces links to online ... |
# Iterate over cells in notebook
for n in range(len(ntbk['cells'])):
# Only process cells of type 'markdown'
if ntbk['cells'][n]['cell_type'] == 'markdown':
# Get text of markdown cell
txt = ntbk['cells'][n]['source']
# Replace links to online docs with sphi... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def write_notebook_rst(txt, res, fnm, pth):
""" Write the converted notebook text `txt` and resources `res` to filename `fnm` in directory `pth`. """ |
# Extended filename used for output images
extfnm = fnm + '_files'
# Directory into which output images are written
extpth = os.path.join(pth, extfnm)
# Make output image directory if it doesn't exist
mkdir(extpth)
# Iterate over output images in resources dict
for r in res['outputs'].... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def notebook_to_rst(npth, rpth, rdir, cr=None):
""" Convert notebook at `npth` to rst document at `rpth`, in directory `rdir`. Parameter `cr` is a CrossReference... |
# Read the notebook file
ntbk = nbformat.read(npth, nbformat.NO_CONVERT)
# Convert notebook object to rstpth
notebook_object_to_rst(ntbk, rpth, rdir, cr) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def notebook_object_to_rst(ntbk, rpth, cr=None):
""" Convert notebook object `ntbk` to rst document at `rpth`, in directory `rdir`. Parameter `cr` is a CrossRefe... |
# Parent directory of file rpth
rdir = os.path.dirname(rpth)
# File basename
rb = os.path.basename(os.path.splitext(rpth)[0])
# Pre-process notebook prior to conversion to rst
if cr is not None:
preprocess_notebook(ntbk, cr)
# Convert notebook to rst
rex = RSTExporter()
rs... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def make_example_scripts_docs(spth, npth, rpth):
""" Generate rst docs from example scripts. Arguments `spth`, `npth`, and `rpth` are the top-level scripts direc... |
# Ensure that output directory exists
mkdir(rpth)
# Iterate over index files
for fp in glob(os.path.join(spth, '*.rst')) + \
glob(os.path.join(spth, '*', '*.rst')):
# Index basename
b = os.path.basename(fp)
# Index dirname
dn = os.path.dirname(fp)
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def get_full_name(self, role, name):
""" If ``name`` is already the full name of an object, return ``name``. Otherwise, if ``name`` is a partial object name, loo... |
# An initial '.' indicates a partial name
if name[0] == '.':
# Find matches for the partial name in the string
# containing all full names for this role
ptrn = r'(?<= )[^,]*' + name + r'(?=,)'
ml = re.findall(ptrn, self.rolnam[role])
# Handle... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def matching_base_url(self, url):
""" Return True if the initial part of `url` matches the base url passed to the initialiser of this object, and False otherwise... |
n = len(self.baseurl)
return url[0:n] == self.baseurl |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def inventory_maps(inv):
""" Construct dicts facilitating information lookup in an inventory dict. A reversed dict allows lookup of a tuple specifying the sphinx... |
# Initialise dicts
revinv = {}
rolnam = {}
# Iterate over domain keys in inventory dict
for d in inv:
# Since keys seem to be duplicated, ignore those not
# starting with 'py:'
if d[0:3] == 'py:' and d in IntersphinxInventory.domainrole:
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def get_docs_label(self, role, name):
"""Get an appropriate label to use in a link to the online docs.""" |
if role == 'cite':
# Get the string used as the citation label in the text
try:
cstr = self.env.bibtex_cache.get_label_from_key(name)
except Exception:
raise KeyError('cite key %s not found' % name, 'cite', 0)
# The link label is ... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def substitute_ref_with_url(self, txt):
""" In the string `txt`, replace sphinx references with corresponding links to online docs. """ |
# Find sphinx cross-references
mi = re.finditer(r':([^:]+):`([^`]+)`', txt)
if mi:
# Iterate over match objects in iterator returned by re.finditer
for mo in mi:
# Initialize link label and url for substitution
lbl = None
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def substitute_url_with_ref(self, txt):
""" In the string `txt`, replace links to online docs with corresponding sphinx cross-references. """ |
# Find links
mi = re.finditer(r'\[([^\]]+|\[[^\]]+\])\]\(([^\)]+)\)', txt)
if mi:
# Iterate over match objects in iterator returned by
# re.finditer
for mo in mi:
# Get components of current match: full matching text,
# the li... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def obfn_fvarf(self):
"""Variable to be evaluated in computing data fidelity term, depending on 'fEvalX' option value. """ |
return self.Xf if self.opt['fEvalX'] else \
sl.rfftn(self.Y, None, self.cri.axisN) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def rsdl(self):
"""Compute fixed point residual in Fourier domain.""" |
diff = self.Xf - self.Yfprv
return sl.rfl2norm2(diff, self.X.shape, axis=self.cri.axisN) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def cbpdn_class_label_lookup(label):
"""Get a CBPDN class from a label string.""" |
clsmod = {'admm': admm_cbpdn.ConvBPDN,
'fista': fista_cbpdn.ConvBPDN}
if label in clsmod:
return clsmod[label]
else:
raise ValueError('Unknown ConvBPDN solver method %s' % label) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def ConvBPDNOptionsDefaults(method='admm'):
"""Get defaults dict for the ConvBPDN class specified by the ``method`` parameter. """ |
dflt = copy.deepcopy(cbpdn_class_label_lookup(method).Options.defaults)
if method == 'admm':
dflt.update({'MaxMainIter': 1, 'AutoRho':
{'Period': 10, 'AutoScaling': False,
'RsdlRatio': 10.0, 'Scaling': 2.0,
'RsdlTarget': 1.0}})
else:... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def ccmod_class_label_lookup(label):
"""Get a CCMOD class from a label string.""" |
clsmod = {'ism': admm_ccmod.ConvCnstrMOD_IterSM,
'cg': admm_ccmod.ConvCnstrMOD_CG,
'cns': admm_ccmod.ConvCnstrMOD_Consensus,
'fista': fista_ccmod.ConvCnstrMOD}
if label in clsmod:
return clsmod[label]
else:
raise ValueError('Unknown ConvCnstrMOD so... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def ConvCnstrMODOptionsDefaults(method='fista'):
"""Get defaults dict for the ConvCnstrMOD class specified by the ``method`` parameter. """ |
dflt = copy.deepcopy(ccmod_class_label_lookup(method).Options.defaults)
if method == 'fista':
dflt.update({'MaxMainIter': 1, 'BackTrack':
{'gamma_u': 1.2, 'MaxIter': 50}})
else:
dflt.update({'MaxMainIter': 1, 'AutoRho':
{'Period': 10, 'AutoScaling'... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def evaluate(self):
"""Evaluate functional value of previous iteration""" |
if self.opt['AccurateDFid']:
D = self.dstep.var_y()
X = self.xstep.var_y()
S = self.xstep.S
dfd = 0.5*np.linalg.norm((D.dot(X) - S))**2
rl1 = np.sum(np.abs(X))
return dict(DFid=dfd, RegL1=rl1, ObjFun=dfd+self.xstep.lmbda*rl1)
else... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def is_newer_than(pth1, pth2):
""" Return true if either file pth1 or file pth2 don't exist, or if pth1 has been modified more recently than pth2 """ |
return not os.path.exists(pth1) or not os.path.exists(pth2) or \
os.stat(pth1).st_mtime > os.stat(pth2).st_mtime |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def mpraw_as_np(shape, dtype):
"""Construct a numpy array of the specified shape and dtype for which the underlying storage is a multiprocessing RawArray in shar... |
sz = int(np.product(shape))
csz = sz * np.dtype(dtype).itemsize
raw = mp.RawArray('c', csz)
return np.frombuffer(raw, dtype=dtype, count=sz).reshape(shape) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def init_mpraw(mpv, npv):
"""Set a global variable as a multiprocessing RawArray in shared memory with a numpy array wrapper and initialise its value. Parameters... |
globals()[mpv] = mpraw_as_np(npv.shape, npv.dtype)
globals()[mpv][:] = npv |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def cbpdn_setdict():
"""Set the dictionary for the cbpdn stage. There are no parameters or return values because all inputs and outputs are from and to global va... |
global mp_DSf
# Set working dictionary for cbpdn step and compute DFT of dictionary
# D and of D^T S
mp_Df[:] = sl.rfftn(mp_D_Y, mp_cri.Nv, mp_cri.axisN)
if mp_cri.Cd == 1:
mp_DSf[:] = np.conj(mp_Df) * mp_Sf
else:
mp_DSf[:] = sl.inner(np.conj(mp_Df[np.newaxis, ...]), mp_Sf,
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def cbpdnmd_ustep(k):
"""Do the U step of the cbpdn stage. The only parameter is the slice index `k` and there are no return values; all inputs and outputs are f... |
mp_Z_U0[k] += mp_DX[k] - mp_Z_Y0[k] - mp_S[k]
mp_Z_U1[k] += mp_Z_X[k] - mp_Z_Y1[k] |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def ccmodmd_relax(k):
"""Do relaxation for the ccmod stage. The only parameter is the slice index `k` and there are no return values; all inputs and outputs are ... |
mp_D_X[k] = mp_drlx * mp_D_X[k] + (1 - mp_drlx) * mp_D_Y0
mp_DX[k] = mp_drlx * mp_DX[k] + (1 - mp_drlx) * (mp_D_Y1[k] + mp_S[k]) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def eval_grad(self):
"""Compute gradient in spatial domain for variable Y.""" |
# Compute D^T(D Y - S)
return self.D.T.dot(self.D.dot(self.Y) - self.S) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def rsdl(self):
"""Compute fixed point residual.""" |
return np.linalg.norm((self.X - self.Yprv).ravel()) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def eval_Rf(self, Vf):
"""Evaluate smooth term in Vf.""" |
return sl.inner(self.Df, Vf, axis=self.cri.axisM) - self.Sf |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def zpad(v, Nv):
"""Zero-pad initial axes of array to specified size. Padding is applied to the right, top, etc. of the array indices. Parameters v : array_like ... |
vp = np.zeros(Nv + v.shape[len(Nv):], dtype=v.dtype)
axnslc = tuple([slice(0, x) for x in v.shape])
vp[axnslc] = v
return vp |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def Pcn(x, dsz, Nv, dimN=2, dimC=1, crp=False, zm=False):
"""Constraint set projection for convolutional dictionary update problem. Parameters x : array_like Inp... |
if crp:
def zpadfn(x):
return x
else:
def zpadfn(x):
return zpad(x, Nv)
if zm:
def zmeanfn(x):
return zeromean(x, dsz, dimN)
else:
def zmeanfn(x):
return x
return normalise(zmeanfn(zpadfn(bcrop(x, dsz, dimN))), dimN ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.