_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 75 19.8k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q10800 | Base.to_dict | train | def to_dict(self):
"""
Convert attributes and properties to a dict,
so that it can be serialized.
"""
return {k: getattr(self, k) for k in filter(
lambda k: not k.startswith('_') and k != 'to_dict', dir(self))} | python | {
"resource": ""
} |
q10801 | _HtmlHeaderNode.to_dict | train | def to_dict(self):
"""Convert self to a dict object for serialization."""
return {
'level': self.level,
'id': self.id,
'text': self.text,
'inner_html': self.inner_html,
'children': [child.to_dict() for child in self.children]
} | python | {
"resource": ""
} |
q10802 | HtmlTocParser.toc | train | def toc(self, depth=6, lowest_level=6):
"""
Get table of content of currently fed HTML string.
:param depth: the depth of TOC
:param lowest_level: the allowed lowest level of header tag
:return: a list representing the TOC
"""
depth = min(max(depth, 0), 6)
... | python | {
"resource": ""
} |
q10803 | HtmlTocParser.toc_html | train | def toc_html(self, depth=6, lowest_level=6):
"""
Get TOC of currently fed HTML string in form of HTML string.
:param depth: the depth of TOC
:param lowest_level: the allowed lowest level of header tag
:return: an HTML string
"""
toc = self.toc(depth=depth, lowest... | python | {
"resource": ""
} |
q10804 | HtmlTocParser._get_level | train | def _get_level(tag):
"""
Match the header level in the given tag name,
or None if it's not a header tag.
"""
m = re.match(r'^h([123456])$', tag, flags=re.IGNORECASE)
if not m:
return None
return int(m.group(1)) | python | {
"resource": ""
} |
q10805 | MVisionProcess.requiredGPU_MB | train | def requiredGPU_MB(self, n):
"""Required GPU memory in MBytes
"""
from darknet.core import darknet_with_cuda
if (darknet_with_cuda()): # its using cuda
free = getFreeGPU_MB()
print("Yolo: requiredGPU_MB: required, free", n, free)
if (free == -1): # cou... | python | {
"resource": ""
} |
q10806 | Inspect.typename | train | def typename(self):
'''
get the type of val
there are multiple places where we want to know if val is an object, or a string, or whatever,
this method allows us to find out that information
since -- 7-10-12
val -- mixed -- the value to check
return -- string -... | python | {
"resource": ""
} |
q10807 | Inspect.is_primitive | train | def is_primitive(self):
"""is the value a built-in type?"""
if is_py2:
return isinstance(
self.val,
(
types.NoneType,
types.BooleanType,
types.IntType,
types.LongType,
... | python | {
"resource": ""
} |
q10808 | Value._str_iterator | train | def _str_iterator(self, iterator, name_callback=None, prefix="\n", left_paren='[', right_paren=']', depth=0):
'''
turn an iteratable value into a string representation
iterator -- iterator -- the value to be iterated through
name_callback -- callback -- if not None, a function that will... | python | {
"resource": ""
} |
q10809 | ObjectValue._get_src_file | train | def _get_src_file(self, val, default='Unknown'):
'''
return the source file path
since -- 7-19-12
val -- mixed -- the value whose path you want
return -- string -- the path, or something like 'Unknown' if you can't find the path
'''
path = default
try:... | python | {
"resource": ""
} |
q10810 | handle_decode_replace | train | def handle_decode_replace(e):
"""this handles replacing bad characters when printing out
http://www.programcreek.com/python/example/3643/codecs.register_error
http://bioportal.weizmann.ac.il/course/python/PyMOTW/PyMOTW/docs/codecs/index.html
https://pymotw.com/2/codecs/
"""
count = e.end - e.st... | python | {
"resource": ""
} |
q10811 | MovementDetector.reset | train | def reset(self):
"""Reset analyzer state
"""
self.prevframe = None
self.wasmoving = False
self.t0 = 0
self.ismoving = False | python | {
"resource": ""
} |
q10812 | rule | train | def rule(rules, strict_slashes=False, api_func=None, *args, **kwargs):
"""
Add a API route to the 'api' blueprint.
:param rules: rule string or string list
:param strict_slashes: same to Blueprint.route, but default value is False
:param api_func: a function that returns a JSON serializable object
... | python | {
"resource": ""
} |
q10813 | GPUHandler.findXScreens | train | def findXScreens(self):
qapp = QtCore.QCoreApplication.instance()
if not qapp: # QApplication has not been started
return
screens = qapp.screens()
"""
let's find out which screens are virtual
screen, siblings:
One big virtual desktop:
... | python | {
"resource": ""
} |
q10814 | MyGui.generateMethods | train | def generateMethods(self):
"""Generate some member functions
"""
for i in range(1, 5):
# adds member function grid_ixi_slot(self)
self.make_grid_slot(i, i)
for cl in self.mvision_classes:
self.make_mvision_slot(cl) | python | {
"resource": ""
} |
q10815 | MyGui.QCapsulate | train | def QCapsulate(self, widget, name, blocking = False, nude = False):
"""Helper function that encapsulates QWidget into a QMainWindow
"""
class QuickWindow(QtWidgets.QMainWindow):
class Signals(QtCore.QObject):
close = QtCore.Signal()
show = QtCore.Si... | python | {
"resource": ""
} |
q10816 | MyGui.make_grid_slot | train | def make_grid_slot(self, n, m):
"""Create a n x m video grid, show it and add it to the list of video containers
"""
def slot_func():
cont = container.VideoContainerNxM(gpu_handler=self.gpu_handler,
filterchain_group=self.filtercha... | python | {
"resource": ""
} |
q10817 | main_inject | train | def main_inject(args):
"""
mapped to pout.inject on the command line, makes it easy to make pout global
without having to actually import it in your python environment
.. since:: 2018-08-13
:param args: Namespace, the parsed CLI arguments passed into the application
:returns: int, the return c... | python | {
"resource": ""
} |
q10818 | main_info | train | def main_info(args):
"""Just prints out info about the pout installation
.. since:: 2018-08-20
:param args: Namespace, the parsed CLI arguments passed into the application
:returns: int, the return code of the CLI
"""
if args.site_packages:
logger.info(SitePackagesDir())
else:
... | python | {
"resource": ""
} |
q10819 | catch | train | def catch(func, *args, **kwargs):
"""
Call the supplied function with the supplied arguments,
catching and returning any exception that it throws.
Arguments:
func: the function to run.
*args: positional arguments to pass into the function.
**kwargs: keyword arguments to pass int... | python | {
"resource": ""
} |
q10820 | time | train | def time(func, *args, **kwargs):
"""
Call the supplied function with the supplied arguments,
and return the total execution time as a float in seconds.
The precision of the returned value depends on the precision of
`time.time()` on your platform.
Arguments:
func: the function to run.
... | python | {
"resource": ""
} |
q10821 | LmomDistrMixin.lmom_fit | train | def lmom_fit(self, data=[], lmom_ratios=[]):
"""
Fit the distribution function to the given data or given L-moments.
:param data: Data to use in calculating the distribution parameters
:type data: array_like
:param lmom_ratios: L-moments (ratios) l1, l2, t3, t4, .. to use in cal... | python | {
"resource": ""
} |
q10822 | run | train | def run():
"""
Run all the test classes in the main module.
Returns: exit code as an integer.
The default behaviour (which may be overridden by plugins) is to return a 0
exit code if the test run succeeded, and 1 if it failed.
"""
plugin_list = load_plugins()
module = sys.modul... | python | {
"resource": ""
} |
q10823 | run_with_plugins | train | def run_with_plugins(plugin_list):
"""
Carry out a test run with the supplied list of plugin instances.
The plugins are expected to identify the object to run.
Parameters:
plugin_list: a list of plugin instances (objects which implement some subset of PluginInterface)
Returns: exit code as ... | python | {
"resource": ""
} |
q10824 | lmom_ratios | train | def lmom_ratios(data, nmom=5):
"""
Estimate `nmom` number of L-moments from a sample `data`.
:param data: Sequence of (sample) data
:type data: list or array-like sequence
:param nmom: number of L-moments to estimate
:type nmom: int
:return: L-moment ratios like this: l1, l2, t3, t4, t5, ..... | python | {
"resource": ""
} |
q10825 | POEditorAPI._apiv1_run | train | def _apiv1_run(self, action, headers=None, **kwargs):
"""
Kept for backwards compatibility of this client
See "self.clear_reference_language"
"""
warnings.warn(
"POEditor API v1 is deprecated. Use POEditorAPI._run method to call API v2",
DeprecationWarning... | python | {
"resource": ""
} |
q10826 | POEditorAPI.list_projects | train | def list_projects(self):
"""
Returns the list of projects owned by user.
"""
data = self._run(
url_path="projects/list"
)
projects = data['result'].get('projects', [])
return [self._project_formatter(item) for item in projects] | python | {
"resource": ""
} |
q10827 | POEditorAPI.view_project_details | train | def view_project_details(self, project_id):
"""
Returns project's details.
"""
data = self._run(
url_path="projects/view",
id=project_id
)
return self._project_formatter(data['result']['project']) | python | {
"resource": ""
} |
q10828 | POEditorAPI.add_language_to_project | train | def add_language_to_project(self, project_id, language_code):
"""
Adds a new language to project
"""
self._run(
url_path="languages/add",
id=project_id,
language=language_code
)
return True | python | {
"resource": ""
} |
q10829 | POEditorAPI.update_terms | train | def update_terms(self, project_id, data, fuzzy_trigger=None):
"""
Updates project terms. Lets you change the text, context, reference, plural and tags.
>>> data = [
{
"term": "Add new list",
"context": "",
"new_term": "... | python | {
"resource": ""
} |
q10830 | POEditorAPI.update_terms_translations | train | def update_terms_translations(self, project_id, file_path=None,
language_code=None, overwrite=False,
sync_terms=False, tags=None, fuzzy_trigger=None):
"""
Updates terms translations
overwrite: set it to True if you want to overwr... | python | {
"resource": ""
} |
q10831 | POEditorAPI.list_contributors | train | def list_contributors(self, project_id=None, language_code=None):
"""
Returns the list of contributors
"""
data = self._run(
url_path="contributors/list",
id=project_id,
language=language_code
)
return data['result'].get('contributors',... | python | {
"resource": ""
} |
q10832 | POEditorAPI.remove_contributor | train | def remove_contributor(self, project_id, email, language):
"""
Removes a contributor
"""
self._run(
url_path="contributors/remove",
id=project_id,
email=email,
language=language
)
return True | python | {
"resource": ""
} |
q10833 | parse_stations | train | def parse_stations(html):
"""
Strips JS code, loads JSON
"""
html = html.replace('SLs.sls=', '').replace(';SLs.showSuggestion();', '')
html = json.loads(html)
return html['suggestions'] | python | {
"resource": ""
} |
q10834 | parse_delay | train | def parse_delay(data):
"""
Prase the delay
"""
# parse data from the details view
rsp = requests.get(data['details'])
soup = BeautifulSoup(rsp.text, "html.parser")
# get departure delay
delay_departure_raw = soup.find('div', class_="routeStart").find('span', class_=["delay", "delayO... | python | {
"resource": ""
} |
q10835 | calculate_delay | train | def calculate_delay(original, delay):
"""
Calculate the delay
"""
original = datetime.strptime(original, '%H:%M')
delayed = datetime.strptime(delay, '%H:%M')
diff = delayed - original
return diff.total_seconds() // 60 | python | {
"resource": ""
} |
q10836 | Schiene.stations | train | def stations(self, station, limit=10):
"""
Find stations for given queries
Args:
station (str): search query
limit (int): limit number of results
"""
query = {
'start': 1,
'S': station + '?',
'REQ0JourneyStopsB': limit
... | python | {
"resource": ""
} |
q10837 | Schiene.connections | train | def connections(self, origin, destination, dt=datetime.now(), only_direct=False):
"""
Find connections between two stations
Args:
origin (str): origin station
destination (str): destination station
dt (datetime): date and time for query
only_direc... | python | {
"resource": ""
} |
q10838 | _scatter | train | def _scatter(sequence, n):
"""Scatters elements of ``sequence`` into ``n`` blocks."""
chunklen = int(math.ceil(float(len(sequence)) / float(n)))
return [
sequence[ i*chunklen : (i+1)*chunklen ] for i in range(n)
] | python | {
"resource": ""
} |
q10839 | SuperTaskQueue.purge | train | def purge(self):
"""Deletes all tasks in the queue."""
try:
return self._api.purge()
except AttributeError:
while True:
lst = self.list()
if len(lst) == 0:
break
for task in lst:
self.delete(task)
self.wait()
return self | python | {
"resource": ""
} |
q10840 | TaskQueue.delete | train | def delete(self, task_id):
"""Deletes a task from a TaskQueue."""
if isinstance(task_id, RegisteredTask):
task_id = task_id.id
def cloud_delete(api):
api.delete(task_id)
if len(self._threads):
self.put(cloud_delete)
else:
cloud_delete(self._api)
return self | python | {
"resource": ""
} |
q10841 | is_upload | train | def is_upload(action):
"""Checks if this should be a user upload
:param action:
:return: True if this is a file we intend to upload from the user
"""
return 'r' in action.type._mode and (action.default is None or
getattr(action.default, 'name') not in (sys.s... | python | {
"resource": ""
} |
q10842 | ArgParseNode.to_django | train | def to_django(self):
"""
This is a debug function to see what equivalent django models are being generated
"""
exclude = {'name', 'model'}
field_module = 'models'
django_kwargs = {}
if self.node_attrs['model'] == 'CharField':
django_kwargs['max_length... | python | {
"resource": ""
} |
q10843 | str_dict_keys | train | def str_dict_keys(a_dict):
"""return a modified dict where all the keys that are anything but str get
converted to str.
E.g.
>>> result = str_dict_keys({u'name': u'Peter', u'age': 99, 1: 2})
>>> # can't compare whole dicts in doctests
>>> result['name']
u'Peter'
>>> result['ag... | python | {
"resource": ""
} |
q10844 | str_to_boolean | train | def str_to_boolean(input_str):
""" a conversion function for boolean
"""
if not isinstance(input_str, six.string_types):
raise ValueError(input_str)
input_str = str_quote_stripper(input_str)
return input_str.lower() in ("true", "t", "1", "y", "yes") | python | {
"resource": ""
} |
q10845 | str_to_python_object | train | def str_to_python_object(input_str):
""" a conversion that will import a module and class name
"""
if not input_str:
return None
if six.PY3 and isinstance(input_str, six.binary_type):
input_str = to_str(input_str)
if not isinstance(input_str, six.string_types):
# gosh, we did... | python | {
"resource": ""
} |
q10846 | str_to_classes_in_namespaces | train | def str_to_classes_in_namespaces(
template_for_namespace="cls%d",
name_of_class_option='cls',
instantiate_classes=False
):
"""take a comma delimited list of class names, convert each class name
into an actual class as an option within a numbered namespace. This
function creates a closure over ... | python | {
"resource": ""
} |
q10847 | str_to_list | train | def str_to_list(
input_str,
item_converter=lambda x: x,
item_separator=',',
list_to_collection_converter=None,
):
""" a conversion function for list
"""
if not isinstance(input_str, six.string_types):
raise ValueError(input_str)
input_str = str_quote_stripper(input_str)
resul... | python | {
"resource": ""
} |
q10848 | arbitrary_object_to_string | train | def arbitrary_object_to_string(a_thing):
"""take a python object of some sort, and convert it into a human readable
string. this function is used extensively to convert things like "subject"
into "subject_key, function -> function_key, etc."""
# is it None?
if a_thing is None:
return ''
... | python | {
"resource": ""
} |
q10849 | ConfigObjWithIncludes._expand_files | train | def _expand_files(self, file_name, original_path, indent=""):
"""This recursive function accepts a file name, opens the file and then
spools the contents of the file into a list, examining each line as it
does so. If it detects a line beginning with "+include", it assumes
the string imm... | python | {
"resource": ""
} |
q10850 | ConfigObjWithIncludes._load | train | def _load(self, infile, configspec):
"""this overrides the original ConfigObj method of the same name. It
runs through the input file collecting lines into a list. When
completed, this method submits the list of lines to the super class'
function of the same name. ConfigObj proceeds, ... | python | {
"resource": ""
} |
q10851 | ValueSource.get_values | train | def get_values(self, config_manager, ignore_mismatches, obj_hook=DotDict):
"""Return a nested dictionary representing the values in the ini file.
In the case of this ValueSource implementation, both parameters are
dummies."""
if self.delayed_parser_instantiation:
try:
... | python | {
"resource": ""
} |
q10852 | ValueSource._write_ini | train | def _write_ini(source_dict, namespace_name=None, level=0, indent_size=4,
output_stream=sys.stdout):
"""this function prints the components of a configobj ini file. It is
recursive for outputing the nested sections of the ini file."""
options = [
value
... | python | {
"resource": ""
} |
q10853 | configuration | train | def configuration(*args, **kwargs):
"""this function just instantiates a ConfigurationManager and returns
the configuration dictionary. It accepts all the same parameters as the
constructor for the ConfigurationManager class."""
try:
config_kwargs = {'mapping_class': kwargs.pop('mapping_class')... | python | {
"resource": ""
} |
q10854 | iteritems_breadth_first | train | def iteritems_breadth_first(a_mapping, include_dicts=False):
"""a generator that returns all the keys in a set of nested
Mapping instances. The keys take the form X.Y.Z"""
subordinate_mappings = []
for key, value in six.iteritems(a_mapping):
if isinstance(value, collections.Mapping):
... | python | {
"resource": ""
} |
q10855 | DotDict.keys_breadth_first | train | def keys_breadth_first(self, include_dicts=False):
"""a generator that returns all the keys in a set of nested
DotDict instances. The keys take the form X.Y.Z"""
namespaces = []
for key in self._key_order:
if isinstance(getattr(self, key), DotDict):
namespace... | python | {
"resource": ""
} |
q10856 | DotDict.assign | train | def assign(self, key, value):
"""an alternative method for assigning values to nested DotDict
instances. It accepts keys in the form of X.Y.Z. If any nested
DotDict instances don't yet exist, they will be created."""
key_split = key.split('.')
cur_dict = self
for k in k... | python | {
"resource": ""
} |
q10857 | DotDict.parent | train | def parent(self, key):
"""when given a key of the form X.Y.Z, this method will return the
parent DotDict of the 'Z' key."""
parent_key = '.'.join(key.split('.')[:-1])
if not parent_key:
return None
else:
return self[parent_key] | python | {
"resource": ""
} |
q10858 | Option.set_default | train | def set_default(self, val, force=False):
"""this function allows a default to be set on an option that dosen't
have one. It is used when a base class defines an Option for use in
derived classes but cannot predict what value would useful to the
derived classes. This gives the derived c... | python | {
"resource": ""
} |
q10859 | Option.copy | train | def copy(self):
"""return a copy"""
o = Option(
name=self.name,
default=self.default,
doc=self.doc,
from_string_converter=self.from_string_converter,
to_string_converter=self.to_string_converter,
value=self.value,
short_... | python | {
"resource": ""
} |
q10860 | ConfigurationManager.context | train | def context(self, mapping_class=DotDictWithAcquisition):
"""return a config as a context that calls close on every item when
it goes out of scope"""
config = None
try:
config = self.get_config(mapping_class=mapping_class)
yield config
finally:
... | python | {
"resource": ""
} |
q10861 | ConfigurationManager.output_summary | train | def output_summary(self, output_stream=sys.stdout):
"""outputs a usage tip and the list of acceptable commands.
This is useful as the output of the 'help' option.
parameters:
output_stream - an open file-like object suitable for use as the
target of a pri... | python | {
"resource": ""
} |
q10862 | ConfigurationManager.write_conf | train | def write_conf(self, config_file_type, opener, skip_keys=None):
"""write a configuration file to a file-like object.
parameters:
config_file_type - a string containing a registered file type OR
a for_XXX module from the value_source
... | python | {
"resource": ""
} |
q10863 | ConfigurationManager.log_config | train | def log_config(self, logger):
"""write out the current configuration to a log-like object.
parameters:
logger - a object that implements a method called 'info' with the
same semantics as the call to 'logger.info'"""
logger.info("app_name: %s", self.app_name)
... | python | {
"resource": ""
} |
q10864 | ConfigurationManager.get_option_names | train | def get_option_names(self):
"""returns a list of fully qualified option names.
returns:
a list of strings representing the Options in the source Namespace
list. Each item will be fully qualified with dot delimited
Namespace names.
"""
return [x for x... | python | {
"resource": ""
} |
q10865 | ConfigurationManager._create_reference_value_options | train | def _create_reference_value_options(self, keys, finished_keys):
"""this method steps through the option definitions looking for
alt paths. On finding one, it creates the 'reference_value_from' links
within the option definitions and populates it with copied options."""
# a set of known ... | python | {
"resource": ""
} |
q10866 | ConfigurationManager._overlay_expand | train | def _overlay_expand(self):
"""This method overlays each of the value sources onto the default
in each of the defined options. It does so using a breadth first
iteration, overlaying and expanding each level of the tree in turn.
As soon as no changes were made to any level, the loop break... | python | {
"resource": ""
} |
q10867 | ConfigurationManager._check_for_mismatches | train | def _check_for_mismatches(self, known_keys):
"""check for bad options from value sources"""
for a_value_source in self.values_source_list:
try:
if a_value_source.always_ignore_mismatches:
continue
except AttributeError:
# ok, th... | python | {
"resource": ""
} |
q10868 | ConfigurationManager._generate_config | train | def _generate_config(self, mapping_class):
"""This routine generates a copy of the DotDict based config"""
config = mapping_class()
self._walk_config_copy_values(
self.option_definitions,
config,
mapping_class
)
return config | python | {
"resource": ""
} |
q10869 | PGPooledTransaction.close | train | def close(self):
"""close all pooled connections"""
print("PGPooledTransaction - shutting down connection pool")
for name, conn in self.pool.iteritems():
conn.close()
print("PGPooledTransaction - connection %s closed" % name) | python | {
"resource": ""
} |
q10870 | find_action_name_by_value | train | def find_action_name_by_value(registry, target_action_instance):
"""the association of a name of an action class with a human readable
string is exposed externally only at the time of argument definitions.
This routine, when given a reference to argparse's internal action
registry and an action, will fi... | python | {
"resource": ""
} |
q10871 | get_args_and_values | train | def get_args_and_values(parser, an_action):
"""this rountine attempts to reconstruct the kwargs that were used in the
creation of an action object"""
args = inspect.getargspec(an_action.__class__.__init__).args
kwargs = dict(
(an_attr, getattr(an_action, an_attr))
for an_attr in args
... | python | {
"resource": ""
} |
q10872 | SubparserFromStringConverter.add_namespace | train | def add_namespace(self, name, a_namespace):
"""as we build up argparse, the actions that define a subparser are
translated into configman options. Each of those options must be
tagged with the value of the subparse to which they correspond."""
# save a local copy of the namespace
... | python | {
"resource": ""
} |
q10873 | ConfigmanSubParsersAction.add_parser | train | def add_parser(self, *args, **kwargs):
"""each time a subparser action is used to create a new parser object
we must save the original args & kwargs. In a later phase of
configman, we'll need to reproduce the subparsers exactly without
resorting to copying. We save the args & kwargs in... | python | {
"resource": ""
} |
q10874 | ArgumentParser.get_required_config | train | def get_required_config(self):
"""because of the exsistance of subparsers, the configman options
that correspond with argparse arguments are not a constant. We need
to produce a copy of the namespace rather than the actual embedded
namespace."""
required_config = Namespace()
... | python | {
"resource": ""
} |
q10875 | ArgumentParser.add_subparsers | train | def add_subparsers(self, *args, **kwargs):
"""When adding a subparser, we need to ensure that our version of the
SubparserAction object is returned. We also need to create the
corresponding configman Option object for the subparser and pack it's
foreign data section with the original ar... | python | {
"resource": ""
} |
q10876 | sequence_to_string | train | def sequence_to_string(
a_list,
open_bracket_char='[',
close_bracket_char=']',
delimiter=", "
):
"""a dedicated function that turns a list into a comma delimited string
of items converted. This method will flatten nested lists."""
return "%s%s%s" % (
open_bracket_char,
delim... | python | {
"resource": ""
} |
q10877 | ValueSource.get_values | train | def get_values(self, config_manager, ignore_mismatches, obj_hook=DotDict):
"""This is the black sheep of the crowd of ValueSource implementations.
It needs to know ahead of time all of the parameters that it will need,
but we cannot give it. We may not know all the parameters because
no... | python | {
"resource": ""
} |
q10878 | ChemometricsPLS_LDA._cummulativefit | train | def _cummulativefit(self, x, y):
"""
Measure the cumulative Regression sum of Squares for each individual component.
:param x: Data matrix to fit the PLS model.
:type x: numpy.ndarray, shape [n_samples, n_features]
:param y: Data matrix to fit the PLS model.
:type y: num... | python | {
"resource": ""
} |
q10879 | _handle_zeros_in_scale | train | def _handle_zeros_in_scale(scale, copy=True):
"""
Makes sure that whenever scale is zero, we handle it correctly.
This happens in most scalers when we have constant features.
"""
# if we are fitting on 1D arrays, scale might be a scalar
if numpy.isscalar(scale):
if scale == .0:
... | python | {
"resource": ""
} |
q10880 | ChemometricsScaler.fit | train | def fit(self, X, y=None):
"""
Compute the mean and standard deviation from a dataset to use in future scaling operations.
:param X: Data matrix to scale.
:type X: numpy.ndarray, shape [n_samples, n_features]
:param y: Passthrough for Scikit-learn ``Pipeline`` compatibility.
... | python | {
"resource": ""
} |
q10881 | ChemometricsScaler.partial_fit | train | def partial_fit(self, X, y=None):
"""
Performs online computation of mean and standard deviation on X for later scaling.
All of X is processed as a single batch.
This is intended for cases when `fit` is
not feasible due to very large number of `n_samples`
or because X is ... | python | {
"resource": ""
} |
q10882 | ChemometricsScaler.transform | train | def transform(self, X, y=None, copy=None):
"""
Perform standardization by centering and scaling using the parameters.
:param X: Data matrix to scale.
:type X: numpy.ndarray, shape [n_samples, n_features]
:param y: Passthrough for scikit-learn ``Pipeline`` compatibility.
... | python | {
"resource": ""
} |
q10883 | ChemometricsScaler.inverse_transform | train | def inverse_transform(self, X, copy=None):
"""
Scale back the data to the original representation.
:param X: Scaled data matrix.
:type X: numpy.ndarray, shape [n_samples, n_features]
:param bool copy: Copy the X data matrix.
:return: X data matrix with the scaling operat... | python | {
"resource": ""
} |
q10884 | _recurse_replace | train | def _recurse_replace(obj, key, new_key, sub, remove):
"""Recursive helper for `replace_by_key`"""
if isinstance(obj, list):
return [_recurse_replace(x, key, new_key, sub, remove) for x in obj]
if isinstance(obj, dict):
for k, v in list(obj.items()):
if k == key and v in sub:
... | python | {
"resource": ""
} |
q10885 | replace_by_key | train | def replace_by_key(pif, key, subs, new_key=None, remove=False):
"""Replace values that match a key
Deeply traverses the pif object, looking for `key` and
replacing values in accordance with `subs`. If `new_key`
is set, the replaced values are assigned to that key. If
`remove` is `True`, the old `... | python | {
"resource": ""
} |
q10886 | new_keypair | train | def new_keypair(key, value, ambig, unambig):
"""
Check new keypair against existing unambiguous dict
:param key: of pair
:param value: of pair
:param ambig: set of keys with ambig decoding
:param unambig: set of keys with unambig decoding
:return:
"""
if key in ambig:
return... | python | {
"resource": ""
} |
q10887 | add_child_ambig | train | def add_child_ambig(child_ambig, child_unambig, ambig, unambig):
"""
Add information about decodings of a child object
:param child_ambig: ambiguous set from child
:param child_unambig: unambiguous set from child
:param ambig: set of keys storing ambig decodings
:param unambig: dictionary stori... | python | {
"resource": ""
} |
q10888 | get_client | train | def get_client(site=None):
"""Get a citrination client"""
if 'CITRINATION_API_KEY' not in environ:
raise ValueError("'CITRINATION_API_KEY' is not set as an environment variable")
if not site:
site = environ.get("CITRINATION_SITE", "https://citrination.com")
return CitrinationClient(envir... | python | {
"resource": ""
} |
q10889 | calculate_ideal_atomic_percent | train | def calculate_ideal_atomic_percent(pif):
"""
Calculates ideal atomic percents from a chemical formula string from a pif. Returns an appended pif with composition elements modified or added.
:param pif: a ChemicalSystem pif
:return: modified pif object
"""
if not isinstance(pif, ChemicalSystem):... | python | {
"resource": ""
} |
q10890 | calculate_ideal_weight_percent | train | def calculate_ideal_weight_percent(pif):
"""
Calculates ideal atomic weight percents from a chemical formula string from a pif. Returns an appended pif with composition elements modified or added.
:param pif: a ChemicalSystem pif
:return: modified pif object
"""
if not isinstance(pif, ChemicalS... | python | {
"resource": ""
} |
q10891 | _expand_hydrate_ | train | def _expand_hydrate_(hydrate_pos, formula_string):
"""
Handles the expansion of hydrate portions of a chemical formula, and expands out the coefficent to all elements
:param hydrate_pos: the index in the formula_string of the · symbol
:param formula_string: the unexpanded formula string
:return: a ... | python | {
"resource": ""
} |
q10892 | _create_compositional_array_ | train | def _create_compositional_array_(expanded_chemical_formaula_string):
"""
Splits an expanded chemical formula string into an array of dictionaries containing information about each element
:param expanded_chemical_formaula_string: a clean (not necessarily emperical, but without any special characters) chemi... | python | {
"resource": ""
} |
q10893 | _add_ideal_atomic_weights_ | train | def _add_ideal_atomic_weights_(elemental_array):
"""
Uses elements.json to find the molar mass of the element in question, and then multiplies that by the occurances of the element.
Adds the "weight" property to each of the dictionaries in elemental_array
:param elemental_array: an array of dictionarie... | python | {
"resource": ""
} |
q10894 | _add_ideal_weight_percent_ | train | def _add_ideal_weight_percent_(elemental_array):
"""
Adds the "weight_percent" property to each of the dictionaries in elemental_array
:param elemental_array: an array of dictionaries containing information about the elements in the system
:return: the appended elemental_array
"""
t_mass = _cal... | python | {
"resource": ""
} |
q10895 | _get_element_in_pif_composition_ | train | def _get_element_in_pif_composition_(pif, elemental_symbol):
"""
If the element in question if in the composition array in the pif, it returns that Composition object and the position in the composition array otherwise it returns False
:param pif: ChemicalSystem Pif in question
:param elemental_symbol:... | python | {
"resource": ""
} |
q10896 | parse_name_string | train | def parse_name_string(full_name):
"""
Parse a full name into a Name object
:param full_name: e.g. "John Smith" or "Smith, John"
:return: Name object
"""
name = Name()
if "," in full_name:
toks = full_name.split(",")
name.family = toks[0]
name.given = ",".join(toks[1:... | python | {
"resource": ""
} |
q10897 | query_to_mdf_records | train | def query_to_mdf_records(query=None, dataset_id=None, mdf_acl=None):
"""Evaluate a query and return a list of MDF records
If a datasetID is specified by there is no query, a simple
whole dataset query is formed for the user
"""
if not query and not dataset_id:
raise ValueError("Either query... | python | {
"resource": ""
} |
q10898 | pif_to_mdf_record | train | def pif_to_mdf_record(pif_obj, dataset_hit, mdf_acl):
"""Convert a PIF into partial MDF record"""
res = {}
res["mdf"] = _to_meta_data(pif_obj, dataset_hit, mdf_acl)
res[res["mdf"]["source_name"]] = _to_user_defined(pif_obj)
return dumps(res) | python | {
"resource": ""
} |
q10899 | _to_user_defined | train | def _to_user_defined(pif_obj):
"""Read the systems in the PIF to populate the user-defined portion"""
res = {}
# make a read view to flatten the hierarchy
rv = ReadView(pif_obj)
# Iterate over the keys in the read view
for k in rv.keys():
name, value = _extract_key_value(rv[k].raw)
... | python | {
"resource": ""
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.