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def FromSpec(self, spec): if isinstance(spec, Parameter): self.name = spec.name self.caption = spec.caption if spec.caption is not None else spec.name self.toolTip = spec.toolTip if spec.toolTip is not None else "" self.type = spec.type if spec.type...
Args: spec: (name, {...}), or Parameter object Dict keys: "caption" -- (optional) text for label in editor. Defaults to the keyword argument name "toolTip" (optional) "type" -- (optional, defaults to type("value") or int if "value" is ...
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def from_ndarray(cls, a_ndarray, bigdl_type="float"): if a_ndarray is None: return None assert isinstance(a_ndarray, np.ndarray), \ "input should be a np.ndarray, not %s" % type(a_ndarray) return cls(a_ndarray, a_ndarray.shape if a_ndarray.shap...
Convert a ndarray to a DenseTensor which would be used in Java side. >>> import numpy as np >>> from bigdl.util.common import JTensor >>> from bigdl.util.common import callBigDlFunc >>> np.random.seed(123) >>> data = np.random.uniform(0, 1, (2, 3)).astype("float32") >>> ...
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def _contribute_to_class(self, mcs_args: McsArgs): self._mcs_args = mcs_args Meta = mcs_args.clsdict.pop(, None) base_classes_meta = mcs_args.getattr(, None) mcs_args.clsdict[] = self ...
Where the magic happens. Takes one parameter, the :class:`McsArgs` of the class-under-construction, and processes the declared ``class Meta`` from it (if any). We fill ourself with the declared meta options' name/value pairs, give the declared meta options a chance to also contribute to the clas...
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def argparse(argv, parser, arguments): def add_arg(parser, arg_spec): parser.add_argument(arg_spec.name, help=arg_spec.help) return parser parse_request = parser \ .map(lambda i: ArgumentParser(description=i.description)) \ .combine_latest(arguments, lambda parser, arg_def...
A command line argument parser. Parses arguments coming from the argv Observable and outputs them as Argument items in the output observable. Parameters ----------- argv : Observable An Observable of strings. parser : Observable An Observable containing one Parser item. argu...
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def prep_bootstrap(mpt): * bs_ = __salt__[]() fpd_ = os.path.join(mpt, , "{0}".format( uuid.uuid4())) if not os.path.exists(fpd_): os.makedirs(fpd_) os.chmod(fpd_, 0o700) fp_ = os.path.join(fpd_, os.path.basename(bs_)) shutil.copy(bs_, fp_) tmppath = fpd_.replac...
Update and get the random script to a random place CLI Example: .. code-block:: bash salt '*' seed.prep_bootstrap /tmp
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def pop(self): dfa, state, node = self.stack.pop() if self.stack: self.stack[-1][2].children.append(node) else: self.root = node
Pop an entry off the stack and make its node a child of the last.
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def from_tabledata(self, value, is_overwrite_table_name=True): super(ExcelTableWriter, self).from_tabledata(value) if self.is_opened(): self.make_worksheet(self.table_name)
Set following attributes from |TableData| - :py:attr:`~.table_name`. - :py:attr:`~.headers`. - :py:attr:`~.value_matrix`. And create worksheet named from :py:attr:`~.table_name` ABC if not existed yet. :param tabledata.TableData value: Input table data.
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def find(max_depth=3): i = 0 for c, d, f in walk_up(os.getcwd()): i += 1 if i < max_depth: if : p = os.path.join(c, ) if os.path.isfile(p): return p raise RuntimeError()
Returns the path of a Pipfile in parent directories.
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def extend_with_ms(self, req, sms_dict): _ms_uri = {} _ms = {} for fo, sms in sms_dict.items(): if sms.startswith() or sms.startswith(): _ms_uri[fo] = sms else: _ms[fo] = sms if _ms: req[] = Message(**_ms) ...
Add signed metadata statements to a request :param req: The request :param sms_dict: A dictionary with FO IDs as keys and signed metadata statements (sms) or uris pointing to sms as values. :return: The updated request
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def set_pkg_summary(self, doc, text): self.assert_package_exists() if not self.package_summary_set: self.package_summary_set = True doc.package.summary = text else: raise CardinalityError()
Set's the package summary. Raises CardinalityError if summary already set. Raises OrderError if no package previously defined.
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def sparql(self, stringa): qres = self.rdfgraph.query(stringa) return list(qres)
wrapper around a sparql query
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def apply_new_outcome_name(self, path, new_name): if new_name == self.list_store[path][self.NAME_STORAGE_ID]: return outcome = self.list_store[path][self.CORE_STORAGE_ID] try: outcome.name = new_name logger.debug("Outcome name changed to ".f...
Apply the newly entered outcome name it is was changed :param str path: The path string of the renderer :param str new_name: Newly entered outcome name
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def get_favourite_accounts(self) -> List[Account]: from gnucash_portfolio.lib.settings import Settings settings = Settings() favourite_accts = settings.favourite_accounts accounts = self.get_list(favourite_accts) return accounts
Provides a list of favourite accounts
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def metadata_index_json(self): try: return op.join(self.metadata_dir, ) except FileNotFoundError: return op.join(self.metadata_dir, )
str: Path to the INDEX_JSON file.
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def load_plugins(self): for entry_point in CINQ_PLUGINS[][]: cls = entry_point.load() if cls.enabled(): self.log.debug(.format(cls.__name__, cls.__module__)) self.collectors.setdefault(cls.type, []).append(Worker( cls.name, ...
Refresh the list of available collectors and auditors Returns: `None`
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def DirectoryStimuliFactory(loader): impath = loader.impath ftrpath = loader.ftrpath assert os.access(impath, os.R_OK) assert os.access(ftrpath, os.R_OK) img_per_cat = {} subfolders = [name for name in os.listdir(impath) if os.path.isdir( os.path.join(impath, nam...
Takes an input path to the images folder of an experiment and generates automatically the category - filenumber list needed to construct an appropriate _categories object. Parameters : loader : Loader object which contains impath : string path to the input, i.e. ima...
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def strnum(prefix: str, num: int, suffix: str = "") -> str: return "{}{}{}".format(prefix, num, suffix)
Makes a string of the format ``<prefix><number><suffix>``.
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def proper_path(path): if path.startswith("./"): pass elif path.startswith("/"): path = ".%s" % path elif path.startswith("."): while path.startswith("."): path = path[1:] if path.startswith("/"): path = ".%s" % path else: path = "./%s...
Clean up the path specification so it looks like something I could use. "./" <path> "/"
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def record(self, person, event, properties=None, timestamp=None, path=KISSmetrics.RECORD_PATH): this_request = request.record(self.key, person, event, timestamp=timestamp, properties=properties, ...
Record `event` for `person` with any `properties`. :param person: the individual performing the `event` :param event: the `event` name that was performed :param properties: any additional data to include :type properties: dict :param timestamp: when the `event` was performed; op...
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def _processHandler(self, securityHandler, param_dict): cj = None handler = None if securityHandler is None: cj = cookiejar.CookieJar() elif securityHandler.method.lower() == "token" or \ securityHandler.method.lower() == "oauth": param_dict[...
proceses the handler and returns the cookiejar
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def find_jump_targets(self, debug): code = self.code n = len(code) self.structs = [{: , : 0, : n-1}] self.loops = [] self.fixed_jumps = {} self.except_targets = {} self.ignore_if = s...
Detect all offsets in a byte code which are jump targets where we might insert a COME_FROM instruction. Return the list of offsets. Return the list of offsets. An instruction can be jumped to in from multiple instructions.
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def xmoe2_v1_l4k(): hparams = xmoe2_v1() hparams.batch_size = 32 hparams.max_length = 4096 hparams.split_to_length = 4096 hparams.reshape_logits_hack = True return hparams
With sequence length 4096.
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def all_files_in_directory(path): file_list = [] for dirname, dirnames, filenames in os.walk(path): for filename in filenames: file_list.append(os.path.join(dirname, filename)) return file_list
Recursively ist all files under a directory
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def comicPageLink(self, comic, url, prevUrl): pageInfo = self.getPageInfo(comic, url) pageInfo[] = prevUrl
Write previous link into JSON.