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from typing import Optional import re def extract_with_pattern(text: str, pattern: str) -> Optional[str]: """ Return the first found result of a given pattern in the string or None if not found E.g: ('Test _t Test _t', '_t') -> '_t' Args: text: string to find the match pattern: patter...
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import six def _annotator_error_msg(ex): """ Formats a human readable error message. :param ex: :return: """ if isinstance(ex, six.string_types): return ex return '\n' + ex.__class__.__name__ + ': ' + str(ex) + '\n\n'
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def FirstValidDatum(data, default=None): """Gets the first valid datum or default. Args: data (list[event_data.EventDatum]): list of event data. default (object): returned in case no no valid datum was found. Returns: event_data.EventDatum|object: first valid datum or default value. """ for datu...
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def _getoffsets(lineno, lineindex, data): """Return the (start, end) byte offsets for a given 1-based line number.""" offset = 0 if 1 <= lineno < len(lineindex): offset = lineindex.select(lineno - 1) else: raise IndexError nextoffset = lineindex.select(lineno) # there is at least one newline, but there may be...
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from typing import Sequence from typing import Any from typing import Optional from typing import Type def has_types_sequence(item: Sequence[Any]) -> Optional[tuple[Type[Any], ...]]: """Returns types contained in 'item'. Args: item (Sequence[Any]): item to examine. Returns: Optional[...
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def get_okta_group_name(prefix, account_id, role_name): """ Return an Okta group name specific to an account. The format of the group name is '<prefix>_<account_id>_role'. """ group_name = prefix + "_" + account_id + "_" + role_name print(f"get_okta_group_name() result is {group_name}") retu...
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def is_ufshost_error(conn, cloud_type): """ Returns true if ufshost setting is not resolvable externally :type conn: boto.connection.AWSAuthConnection :param conn: a connection object which we get host from :type cloud_type: string :param cloud_type: usually 'aws' or 'euca' """ ufshost...
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def get_separator(handle): """ get the column separator (assumes same on all lines) """ current = handle.tell() line = handle.readline() handle.seek(current) if line.count('\t') > line.count(' '): return '\t' else: return ' '
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def cycle_checker(head): """Check if the Singly Linked List is cyclic. Returns boolean value based on the result """ marker_1 = head marker_2 = head flag = False while marker_2 != None and marker_2.next_node != None: marker_1 = marker_1.next_node marker_2 = marker_2.next_no...
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import time def write_generator_lines(conctimes, concaz, concel, concva, concve, az_flags, el_flags): """ Produces a list of lines in the format necessary to upload to the ACU to complete a generated scan. Params are the outputs of generate. Params: conctimes (list): List of times starting a...
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from typing import Dict from typing import Any from typing import Optional def to_dot( config: Dict[str, Any], prefix: Optional[str] = None, separator: str = '.', function_to_name: bool = True, ) -> Dict[str, Any]: """Convert nested dictionary to flat dictionary. :param config: The po...
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def is_valid_walk(walk): """ You live in the city of Cartesia where all roads are laid out in a perfect grid. You arrived ten minutes too early to an appointment, so you decided to take the opportunity to go for a short walk. The city provides its citizens with a Walk Generating App on their phones -- e...
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def get_department_average_salary_service(department): """ Returns department average salary from db :param department: department :return: department average salary """ average_salary = 0 if department.employees: for employee in department.employees: average_salary += em...
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def get_filter_string(filter_dict): """ return a string like _F0_B50 for a dict like {'F': 0, 'B': 50} """ return "".join( "_{}{}".format(k, filter_dict[k]) for k in sorted(filter_dict.keys()) )
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def get_aic(lnL, Nf): """ Provides the Akaike Information Criterion (Akaike, 1973), i.e. AIC. Parameters ---------- lnL : float Minus the log-likelihood. Nf : int Number of free parameters. Returns ------- AIC : float AIC indicator. """ AIC = 2 * (...
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def mk_level(ptype): """Convert a Pylint warning "type" to a Sarif level""" ldict = {'error': 'error', 'warning': 'warning', 'refactor': 'note', 'convention': 'note', 'usage': 'note'} return ldict.get(ptype, 'note')
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def request_json_data(scraper, uri): """ A simple helper to return a dict when given the url of a json endpoint """ r = scraper.session.get(uri) if r.status_code != 200: raise ValueError("Failed to get url '{}' with status code {}.".format(uri, r.status_code)) return r.json()
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def unzip(ls, nout): """Unzip a list of lists into ``nout`` outputs.""" out = list(zip(*ls)) if not out: out = [()] * nout return out
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from typing import Union def has_output_type(cell, output_type: Union[set, str]): """ Select cells that have a given output_type :param cell: Cell object to select :param output_type: Output Type(MIME type) to select: text/plain, text/html, image/png, ... :type output_type: str :return: a boo...
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def ns(v): """Return empty str if bool false""" return str(v) if bool(v) else ''
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def utf8len(s): """Returns the UTF-8 encoded byte size of a string. `s` is a string parameter.""" return len(s.encode("utf-8"))
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import base64 def convert_bytes_to_base64(data: bytes) -> str: """Convert bytes data to base64 for serialization.""" return base64.b64encode(data).decode("ascii")
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def hasHandlers(logger): """ See if a logger has any handlers. """ rv = False while logger: if logger.handlers: rv = True break elif not logger.propagate: break else: logger = logger.parent return rv
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def values_in_acceptable_entries(sequence, allowed_values) -> bool: """Each value in the sequence must be an allowed values. Otherwise, False.""" if len(sequence) == 0: return True for item in sequence: if item not in allowed_values: return False return True
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def int_or_none(value): """ Try to make `value` an int. If the string is not a number, or empty, return None. """ try: return int(value) except ValueError: return None
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def get_tensor_parents_placeholders(tensor): """ Get all placeholders that is depending the given tensor. """ placeholders_list = [] if tensor.op.type == 'Placeholder': placeholders_list.append(tensor) if tensor.op: for t in tensor.op.inputs: if not 'read:0' in t.name: ...
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def bedtxt2dict(pybed, strand_col=5): """ convert bed object to a dict with keys in bed file From chr123 123 123 + To ('chr123', 123, '+') -> 1 :param pybed: bed object :return: """ ret_dict = {} for t in pybed: ret = str(t).strip().split('\t') key = (ret[...
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def word_count(data): """ 输入一个列表,统计列表中各个元素出现的次数 参数 ---- data : list, 需要统计的列表 返回 ---- re : dict, 结果hash表,key为原列表中的元素,value为对应的出现次数 """ re = {} for item in data: re[item] = re.get(item, 0) + 1 return re
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def getRunFilename(sessionId, runId): """Return run filename given session and run""" filename = "patternsData_run-{0:02d}_id-{1}_py.mat".format(runId, sessionId) return filename
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def lambda_handler(event, context): """Sample pure Lambda function """ return "Hello from a Lambda Image!"
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def _is_datetime_dtype(obj): """Returns True if the obj.dtype is datetime64 or timedelta64 """ dtype = getattr(obj, 'dtype', None) return dtype is not None and dtype.char in 'Mm'
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def get_selected_scenarios_in_cache(request, proj_id): """Given a request and the project id returns the list of selected scenarios""" if isinstance(proj_id, int): proj_id = str(proj_id) selected_scenarios_per_project = request.session.get("selected_scenarios", {}) selected_scenario = selected_s...
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def find_ids(df, id_column: str): """ Reads a dataframe and returns a list of unique data from the id_column. """ return list(set(df[id_column]))
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def text_in_text(entity, attribute, value): """ Return ``True`` if the provided entity has the string provided in ``value`` within its text attribute. """ try: return value.lower() in entity.text.lower() except (UnicodeDecodeError, TypeError): # Binary tiddler return Fals...
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import re def unstring(obj): """ Attempt to parse string to native integer formats. One can't simply call int/float in a try/catch because there is a semantic difference between (for example) 15.0 and 15. """ floatreg = "^\\d+.\\d+$" match = re.findall(floatreg, obj) if match != []: ...
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from typing import List from typing import Optional from typing import cast def _mask_positional_args(name: str) -> List[Optional[str]]: """Create a section name representation that masks names of positional arguments to retain their order in sorts.""" stable_name = cast(List[Optional[str]], name.split("...
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def level_list(root): """Get full level order traversal of binary tree nodes. Example: >>> from leetcode_trees import binarytree >>> tree = binarytree.tree_from_list([5,1,4,None,None,3,6]) >>> binarytree.print_tree(tree) ___5___ 1 _4_ 3 6 >>> print(binarytree.level_representation(tree)) [[...
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from typing import List def get_requirements() -> List[str]: """Read requirements.txt and return the requirements. Returns: List[str]: List of requirements. """ requirements = [] with open("requirements.txt", "r", encoding="utf8") as file: for line in file.readlines(): ...
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def is_nan(x): """ Returns `True` if x is a NaN value. """ if isinstance(x, float): return x != x return False
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def check_edge(e,q,fsm): """ checks whether the current state q has an out-edge e. If so returns the state it goes to and the probability; otherwise returns None Arguments e : we're checking to see if there's an edge with this label q : the current state fsm : the fsm Returns ...
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def total_rows(cursor, table_name, print_out=False): """ Returns the total number of rows in the database """ cursor.execute('SELECT COUNT(*) FROM {}'.format(table_name)) count = cursor.fetchall() if print_out: print('\n[+] Total rows in database: {}'.format(count[0][0])) return count[0][0]
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import time def format_date( unixTime ): """ format epoch time stamp as string """ return time.strftime("%Y/%m/%d %H:%M", time.gmtime(unixTime))
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def sort_fragments_by_elf10wbo(frags): """ Sort fragments by ELF10 WBO. This helps with plotting all distributions so the distributions of the different clusters are together Parameters ---------- frags : dict {'smiles': {'ensamble': , 'individual_confs': []} Returns ------- ...
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import re def get_exclude_patterns_as_regex_list(exclude_patterns=None): """ Takes a list of strings are returns a list of compiled regexes. Strips enclosing quotes if present. :type exclude_patterns: list[str] :return: :rtype: list[re.__Regex] """ exclude_regexes = [] if exclude_...
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def decorated_test_task_with_decorator_args(**kwargs): """ Test task, echos back all arguments that it receives. This one is registered using a decorator """ print(f"The decorated (with args) test task is being run with kwargs {kwargs} and will echo them back") return kwargs
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def separator(simbol, count): """ Функция создает разделитель из любых символов любого количества :param simbol: символ разделителя :param count: количество повторений :return: строка разделитель примеры использования ниже """ s = simbol * count return s
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def eq_by(f, value_1, value_2): """Check if two values are equal when applying f on both of them.""" return f(value_1) == f(value_2)
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from pathlib import Path def read_markdown(fpath: Path) -> str: """Read Markdown file as a string.""" with open(fpath, "r+") as f: md = f.read() return md
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def parse_contig_assignments(assignment_file_path, contig_name_col=0, unassigned_col=9): """ Finds contig_names that are unassigned twice. Inputs: - assignment_file_path: Path to tab-delimited file - contig_name_col: Index of the col which will have the contig name - unassigned_col: Index of th...
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def create_name(words): """ Concatenate words to create the title name. """ return ' '.join(words).title()
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def covstr(strings): """ convert string to int or float. """ try: result = int(strings) except ValueError: result = float(strings) return result
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def create_dataset_url(base_url, identifier, is_pid): """Creates URL of Dataset. Example: https://data.aussda.at/dataset.xhtml?persistentId=doi:10.11587/CCESLK Parameters ---------- base_url : str Base URL of Dataverse instance identifier : str Identifier of the dataset. Can be...
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import base64 def from_url_safe_stream_id(stream_id: str) -> str: """Convert the URLSafe encoded stream id to the corresponding original stream id :param stream_id: streamId of the stream to be parsed :return: stream id after conversion """ decoded_url_bytes = base64.urlsafe_b64decode(stream_id +...
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def remove(seq1, seq2): """ remove the elements in `seq2` from `seq1` """ return tuple(elem for elem in seq1 if elem not in seq2)
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def empty_prep_nb(context, *args): """Preparation function that forwards received arguments down the stack.""" return args
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def outline(text: str, outline_clr=[10,10,10], text_clr=[250,250,250]) -> str: """ Creates a colored outline around the given text. Requires the "contour" package in the preamble, preferably with the [outline] option. That is: \usepackage[outline]{contour} Currently, this package is not included by de...
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def fetch_licenses(fw_conn): """Fetch Licenses Args: fw_conn (PanDevice): A panos object for device """ try: fw_conn.fetch_licenses_from_license_server() print('Licenses retrieved from Palo Alto Networks') return True except: print('WARNING: Not able to retri...
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import re def squashed(s): """Remove all of the whitespace from s.""" return re.sub(r"\s", "", s)
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def add_two(num): """Add two to num""" return num + 2
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from pathlib import Path import pkg_resources def get_path_of_data_dir() -> Path: """ get the path of the package data directory :returns: """ file_path: str = pkg_resources.resource_filename( "{{ cookiecutter.project_slug }}", "data") return Path(file_path)
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def _DictToString(dictionary): """Convert a dictionary to a space separated 'key=value' string. Args: dictionary: the key-value dictionary to be convert Returns: a string representing the dictionary """ dict_str = ' '.join(' {key}={value}'.format(key=key, value=value) for key, ...
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def create_edges(dc): """ Create edges (lines) connecting each pair of stars Arguments --------- dc : dictionary of constellations Returns ------- edges : list of all edges """ edges = [] for k,v in dc.items(): for i in v: edges.append(i) ...
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from typing import Union from typing import List def get_verbalization_ids(word: str, tokenizer, force_single_token: bool) -> Union[int, List[int]]: """ Get the token ids corresponding to a verbalization :param word: the verbalization :param tokenizer: the tokenizer to use :param force_single_tok...
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import re def normalize_reference(s): """ Normalize reference label: collapse internal whitespace to single space, remove leading/trailing whitespace, case fold. """ return re.sub(r'\s+', ' ', s.strip()).upper()
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import json import re def generate_suppression(filepath: str) -> str: """Generate an example suppression document for the given file.""" return json.dumps( { "include": [], "ignore": [ { "pattern": f"{re.escape(filepath)}$", ...
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def update_bathrooms_slider(area): """ Update bathrooms slider to sensible values. """ return [1, min(int(area / 40) + 1, 5)]
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from pathlib import Path def extend_path(path: Path, extension: str) -> Path: """Extends a path by adding an extension to the stem. Args: path (Path): Full path. extension (str): Extension to add. This will replace the current extension. Returns: Path: New path with extension. ...
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def get_html(html: str): """Convert HTML so it can be rendered.""" WRAPPER = """<div style="overflow-x: auto; border: 1px solid #e6e9ef; border-radius: 0.25rem; padding: 1rem; margin-bottom: 2.5rem">{}</div>""" # Newlines seem to mess with the rendering html = html.replace("\n", " ") return WRAPPER....
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def _insert_idxs(feature_centre, feature_size, dimensions): """Returns the indices of where to put the signal into the signal volume Parameters ---------- feature_centre : list, int List of coordinates for the centre location of the signal feature_size : list, int How big is the s...
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def get_user_nick(user): """Returns the nickname of the passed user, the name otherwise""" if user.nick is None: return user.name return user.nick
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def xdist_molar(xdist_mass, Massl, Massh): """ Calculates the molar concetration distilliat of liquid. Parameters ---------- xdist_mass : float The mass concetration distilliat of liquid, [kg/kg] Massl : float The molar mass of low-boilling component, [kg/kmol] Massh : float ...
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def calc_pct_reliability(df_pct): """ Calculates percent reliability of interstate and non-interstate network. Args: df_pct, a pandas dataframe. Returns: int_rel_pct, % interstate reliability. non_int_rel_pct, % non interstate reliability. """ # Auto, Bus interstate df_int = d...
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def get_corr(d): """ Calculate correlation between SibSp and Parch :param d: data frame :return: rounded correlation """ return round(d.filter(items=['SibSp', 'Parch']).corr(method='pearson'), 2)
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def _remove_invalid_char(s): """Remove invalid and dangerous characters from a string.""" s = ''.join([i if ord(i) >= 32 and ord(i) < 127 else '' for i in s]) s = s.translate(dict.fromkeys(map(ord, "_%~#\\{}\":$"))) return s
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def _doMatchExcept1(inv, atoms): """ Helper function to check if two atoms in the list are the same, and one not Note: Works only for three atoms Arguments: - inv: atom invariants (used to define equivalence of atoms) - atoms: list of atoms to check Return: atom that i...
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import typing def unpack_key_value_pair(entry) -> typing.Tuple[object, object]: """ensure the given entry can be unpacked into a key/value pair :param entry: an iterable element with exactly two elements :return: a tuple containing the key value pair :raises: ValueError when the entry can't be unpack...
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def value_if_found_else_key(some_dict, key): """Lookup a value in some_dict and use the key itself as fallback""" return some_dict.get(key, key)
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def unitstep(t): """Returns the unit step function: ``u(t) = 1.0 if t>=0 else 0``""" return 1.0 if t >= 0 else 0.0
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def getRowMarker(f, year): """ Get the row marker for given year (where the most recent update left off) and return. Returns 0 if doesn't exist. """ dset = f['data'] marker = 0 if "_row_marker" in dset.attrs: row_marker = dset.attrs["_row_marker"] # returns [year, row] ...
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def strokes_to_lines(strokes): """Convert stroke-3 format to polyline format.""" x = 0 y = 0 lines = [] line = [] for i in range(len(strokes)): if strokes[i, 2] == 1: x += float(strokes[i, 0]) y += float(strokes[i, 1]) line.append([x, y]) l...
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def uncomposekey(prefix, key): """Remove a prefix from a composite key. Example: uncomposekey("attr1.attr2", "attr1.attr2.attr3.attr4") == "attr3.attr4" """ if " " in prefix or " " in key: raise NotImplementedError() prefix, key = prefix.split("."), key.split(".") while prefix: a, b = prefix.pop(0)...
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def fw_action(raw): """Normalize firewall action Gives back a value between allow, deny, reject and other """ lower = raw.lower() if lower in ['allow', 'deny', 'reject']: return lower return 'other'
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import torch def split_tensor_pos(tensor): """ Splits tensor into positive and negative terms """ zeros_like = torch.zeros_like(tensor) pos_tensor = torch.max(tensor, zeros_like) neg_tensor = torch.min(tensor, zeros_like) return pos_tensor, neg_tensor
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import random def randomly_true(probability: float) -> float: """ Return True with a given probability, False otherwise. """ return random.uniform(0,1) < probability
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def numeric_filter(operation, value, column, df): """Filters a data column numerically. Arguments: operation: Operator used to filter data (e.g. ">", "<", "==", ">=", "<=", "!=") value: Operand column: String for column name df: DataFrame Returns: Boolean column that indicates whether each...
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def webpage_attribute_setter(attr): """ Helper function for defining setters for web_page attributes, e.g. ``set_foo_enabled = webpage_attribute_setter("foo")`` sets a value of ``webpage.foo`` attribute. """ def _setter(self, value): setattr(self.web_page, attr, value) return _setter
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def meanOffNadirViewAngle(xmlroot): """Get the mean off nadir view angle from the xml.""" return float(xmlroot.find('IMD/IMAGE/MEANOFFNADIRVIEWANGLE').text)
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def truesi(xs): """ indices for which x[i] is True """ return [i for i, x in enumerate(xs) if x]
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def create_event(event_type, data): """Return a dictionary containing the properties required when defining an event. Keyword arguments: event_type -- the type of event, used to distinguish multiple events apart. data -- a dictionary of key/value pairs containing custom data. """ return { ...
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def resize_bbox(bbox, in_size, out_size): """ Resize bounding boxes according to image resize. :param bbox (numpy.ndarray): An array that has a shape (R, 4), 'R' is the number of the bounding boxes. '4' indicates the position of the box, which represents (y_min, x_min, y_max, x_max) ...
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def strip_spaces_list(list_in, strip_method="all"): """ Remove spaces from all items in a list :param list_in: :param strip_method: Default: 'all' for leading and trailing spaces. Can also be 'leading' or 'trailing' :return: List with items stripped of spaces """ if strip_method == "all...
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def LinearReconstruct( u_stencil ): """Linear reconstruction with linear weights. This reconstructs u_{i+1/2} given cell averages \\bar{u}_i at each neighboring location. See (2.14) in `High Order Weighted Essentially Nonoscillatory Schemes for Convection Dominated Problems'. """ uim2, u...
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def compute_avg_wmd_distance(contexts1, contexts2, gensim_obj): """ Compute an average word metric distance :param contexts1: List of ContextAndEntities objects extracted from Document 1 :param contexts2: List of ContextAndEntities objects extracted from Document 2 :param gensim_obj: a Gensim object...
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from typing import Dict import torch def default_fn(x, models, **kwargs) -> Dict[str, torch.Tensor]: """ The default inference function for [BaseAdapter][pytorch_adapt.adapters.BaseAdapter]. """ features = models["G"](x) logits = models["C"](features) return {"features": features, "logits": lo...
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def merge_dico_in_first(d1, d2): """ Merge dictionary d2 in d1. """ for k, v in d2.items(): if k in d1: raise ValueError(f"Key {k} should not be in d1") else: d1[k] = v return d1
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def json_config(json_sample_path): """Return a list containing the key and the sample path for a json config.""" return ["--config", json_sample_path]
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from typing import Iterable from typing import List from typing import Any def flatten(iterable: Iterable, drop_null: bool = False) -> List[Any]: """Flatten out a nested iterable. Flatten a nested iterable, even with multiple nesting levels and different data types. It is also possible to drop null value...
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def get_routes(feed, date=None, time=None): """ Return a subset of ``feed.routes`` Parameters ----------- feed : Feed date : string YYYYMMDD date string restricting routes to only those active on the date time : string HH:MM:SS time string, possibly with HH > 23, res...
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def forecasted_occlusion_position(occlusion_bool_list): """ Given a boolean list of occlusion events, return the index position of the forecasts that indicate that an occlusion event has been predicted. """ positional_list = [] for i in range(len(occlusion_bool_list)): if occlusion...
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import re def _get_name(name): """Internal Method to Change camelcase to underscores. CamelCase -> camel_case """ return re.sub('(?!^)([A-Z]+)', r'_\1', name).lower()
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