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def get_next_match_pick_first_available(population): """ Decides next two player indexes who will play against each other next, iterating over the list and picking the very first available""" p1 = None for player in population: if player.available: if p1 is not None: ...
def set_privacy(annotations, key, is_private=True, value_types=['longAnnos', 'doubleAnnos', 'stringAnnos']): """ Set privacy of individual annotations, where annotations are in the format used by Synapse SubmissionStatus objects. See the `Annotations documentation <http://rest.synapse.org/org/sagebionetwork...
def median(arr): """ Calculate the median of all the values in a list :param arr: The list of values :type arr: list :return: The median of all the numbers :rtype: float """ arr.sort() n = len(arr) mid = int(n / 2) return arr[mid]
def adaptMetricsInterval(metrics, interval): """Transforms the selected metrics and the time interval (daily, weekly, etc.) into a understandable metrics Parameters: ----------- metrics : str list list of cumulatives selected metrics interval : str time intervall (daily, wee...
def ramsey_sequence(length, target): """ Generate a gate sequence to measure dephasing time in a two-qubit chip. Parameters ---------- length : int Number of Identity gates. target : str Which qubit is measured. Options: "left" or "right" Returns ------- list ...
def pipeline(ticker, years): """Converts user input to appropriate types""" ticker = str(ticker) years = int(years) return ticker, years
def DivideAndCeil(dividend, divisor): """Returns ceil(dividend / divisor). Takes care to avoid the pitfalls of floating point arithmetic that could otherwise yield the wrong result for large numbers. Args: dividend: Dividend for the operation. divisor: Divisor for the operation. Returns: Quotie...
def merge_dicts(src, dest): """Merge to dictionaries and return a new dictionary """ ndict = dict(src) ndict.update(dest) return ndict
def construct_dict_from_source(fields, source): """ Construct a new dict from a source dict and catch all KeyErrors, using predefined functions to extract desired values from a source dictionary. :param fields: Dictionary with fields in the the target dict as keys and functions to extract their de...
def _value_is_array(value): """Check if a parameter value is an array. Parameters ---------- value : str Parameter value as a string. Returns ------- bool ``True`` if the value is an array. Otherwise, ``False``. """ return "," in value
def _character_to_symbol(character): """ converts a single character to the mathematic symbol, does not apply all tex formatting """ if character == "T": return r"v_{\theta}" elif character == "W": return r"v_{z}" elif character == "R": return r"v_{r}" elif character == "U": ...
def get_distinct_edge(edge_array): """ Return Distinct edges from edge array of multiple graphs >>> sorted(get_distinct_edge(edge_array)) ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'] """ distinct_edge = set() for row in edge_array: for item in row: distinct_edge.add(...
def login_allowed(user): """ @user_passes_test decorator to check whether the user is allowed to access the application or not. We do not want to allow non-UserBackend users to access the application (because we need the LDAP entry for the shares etc.) so we check that here. """ if user is None...
def _format_print(string, prefix=""): """Inserts the given prefix at the beginning of each line""" if prefix: string = prefix + ("\n" + prefix).join(string.splitlines()) return string
def nice_pair(pair): """Make a nice string representation of a pair of numbers. If the numbers are equal, just return the number, otherwise return the pair with a dash between them, indicating the range. """ start, end = pair if start == end: return "%d" % start else: ...
def float_to_htk_int(string): """ Converts a string representing a floating point number to an integer (time in 100ns units)... """ return int(round(float(string)*10000000))
def hexStr2Bytes(hexStr: str) -> bytes: """ Convert an hexadecimal string in bytes :param hexStr: The hexadecimal string :type hexStr: str :return: The bytes of the hexadecimal string :rtype: bytes """ return bytes.fromhex(hexStr)
def get_new_hw(h, w, size, max_size): """Get new hw.""" scale = size * 1.0 / min(h, w) if h < w: newh, neww = size, scale * w else: newh, neww = scale * h, size if max(newh, neww) > max_size: scale = max_size * 1.0 / max(newh, neww) newh = newh * scale neww = neww * scale neww = int(neww...
def bubblesort_core(x): """ sort x by bubblesort. also, keep track of assignments and conditionals. """ assignments = 0 conditionals = 0 # in X steps... for step in range(len(x)): # for each of the first X-step element pairs... for i in range(len(x)-1-step): #...
def Gt(field, value): """ A criterion used to search for a field greater than a certain value. For example * search for TLP > 2 * search for customFields.cvss > 4.5 * search for date > now Arguments: field (value): field name value (Any): field value Returns: dict:...
def getindex(ndim, ind, strides): """Convert multi-dimensional index to the position in the flat list.""" ret = 0 for i in range(ndim): ret += strides[i] * ind[i] return ret
def zakharov(ind): """Zakharov function defined as: $$ f(x) = \sum_{i=1}^n x_i^2 + (\sum_{i=1}^n 0.5 i x_i)^2 + (\sum_{i=1}^n 0.5 i x_i)^4$$ with a search domain of $-5 < x_i < 10, 1 \leq i \leq n$. The global minimum is at $f(x_1, ..., x_n) = f(0, ..., 0) = 0. """ return sum((x**2. for x in in...
def get_flowcell_name_from_desc(description_dict, user_run_name): """ Get the flowcell name from the description Parameters ---------- description_dict: dict A parsed dictionary created from the description from the fastq record user_run_name: str The user run name that we have b...
def parse_details_url(record): """ > Site URLs can be similarly constructed from some Services, > such as https://waterdata.usgs.gov/nwis/uv/?site_no=14113000, when > ServCode = "NWISDV" and location = "NWISDV:14113000" Ref: https://github.com/WikiWatershed/model-my-watershed/issues/1931 """ ...
def rough_calibration(pis, mission): """ Parameters ---------- pis: float or array of floats PI channels in data mission: str Mission name Returns ------- energies : float or array of floats Energy values Examples -------- >>> rough_calibration(0, '...
def roundToMultiple(x, y): """Return the largest multiple of y < x Args: x (int): the number to round y (int): the multiplier Returns: int: largest multiple of y <= x """ r = (x + int(y / 2)) & ~(y - 1) if r > x: ...
def _is_c2d_topic(split_topic_str): """ Topics for c2d message are of the following format: devices/<deviceId>/messages/devicebound :param split_topic_str: The already split received topic string """ if "messages/devicebound" in split_topic_str and len(split_topic_str) > 4: return True ...
def get_sql_result_as_dict_list(res): """Returns the result set as a list of dicts Args: res: (object): The sql result set Returns: A list of dicts """ if not res: return [] col_names = res.get_column_names() rows = res.fetch_all() dict_list = [...
def binHits(hitMap): """ return map of assignments to list of reads """ hits = {} for (read, hit) in hitMap.items(): if isinstance(hit, list): for h in hit: hits.setdefault(h, []).append(read) else: hits.setdefault(hit, []).append(read) re...
def _value_checker(index_input): """Helper function to input check the main index functions""" if index_input == "": # empty string, default index return "default" try: return float(index_input) except ValueError: return False
def prepare_commands(commands): """converts commands to Eapi formatted dicts""" formatted = [] for command in commands: answer = command.answer or "" command = command.cmd.strip() formatted.append({"cmd": command, "input": answer}) return formatted
def lerp(a, b, t): """ Returns the linear interpolation between a and b at time t between 0.0-1.0. For example: lerp(100, 200, 0.5) => 150. """ if t < 0.0: return a if t > 1.0: return b return a + (b - a) * t
def getbool(value, default=None, truevalues=set((True, 1, '1', 't', 'true', 'True')), falsevalues=set((False, 0, '0', 'f', 'false', 'False'))): """Convert a given value to True, False, or a default value. If the given value is in the given truevalues, True is returned. If the ...
def sorted_by_key(x, i, reverse=False): """sort by key""" # Sort by distance def key(element): return element[i] return sorted(x, key=key, reverse=reverse)
def longest_positive_sequence(the_list): """ Function that given a list, it returns the longest number of positive numbers. If it returns 3, then there exists 3 consecutive positive numbers. @param the_list: an array of integers @complexity: best-case and worst-case is O(N) where N is the length of the list ...
def _fingerprint(row): """Generate a string-based fingerprint to characterize row diversity.""" return ''.join(map(lambda x: str(type(x)), row))
def remove_html_tags(text): """Remove html tags from a string""" import re # make semi colon after list element text = text.replace('</li>', ";") # clean other tags clean = re.compile('<.*?>') return re.sub(clean, ' ', text)
def size_increment(added_content, deleted_content): """ :param added_content: content added to wiki by an user :param deleted_content: content deleted from wiki by an user :return: ratio of added to deleted content useful to identify deletion vandalism, where a vandal can remove data in large amount...
def _gen_table_cols(col_ids): """Generate Dash table columns in the expected format. :param col_ids: list of columns; must be in format <table-alias.name>, like "s.serial_number", as in the SQL select statement -- except for derived column values which must literally ...
def deep_len(lst): """Returns the deep length of the list. >>> deep_len([1, 2, 3]) # normal list 3 >>> x = [1, [2, 3], 4] # deep list >>> deep_len(x) 4 >>> x = [[1, [1, 1]], 1, [1, 1]] # deep list >>> deep_len(x) 6 """ "*** YOUR CODE HERE ***" if type(lst) != li...
def run_is_big_enough(s, e, bankend): """Check whether a run is big enough to consider. A run of $FF or $00 is OK if it's 32 bytes or longer, or if it's 10 bytes or longer and touches the reset vectors. """ if e - s >= 32: return True if s <= bankend - 15 and e >= bankend - 6: return True ...
def get_connected_devices(device, data): """Get all devices that are connected to a device in a certain state.""" result = [] if device not in data: return result for interface in data[device]: if "device" in data[device][interface]: result.append(data[device][interface]["...
def group_name_to_team_name(group_name): """Return the team name corresponding to Keycloak's `group_name`.""" if group_name.startswith("TEAM-"): return group_name[len("TEAM-") :] return group_name
def typify(tokens): """ Returns a dictionary of unique types with their frequencies. :param tokens:a list of tokens :type tokens:list :return:a dictionary of unique types with their frequencies. :rtype:dict """ temp_types = {} for word in tokens: if word not in temp_types.keys(): temp_types[word] = 1 el...
def _prepare_dict_inputs(inputs, tensor_info_map): """Converts inputs to a dict of inputs and checks extra/missing args. Args: inputs: inputs fed to Module.__call__(). tensor_info_map: A map from string to `tensor_info.ParsedTensorInfo` describing the signature inputs. Returns: A dict of value...
def list_set_bits(r, expected_length): """Return list of positions of bits set to one in given data. This method is used to read e.g. violated zones. They are marked by ones on respective bit positions - as per Satel manual. """ set_bit_numbers = [] bit_index = 0x1 assert (len(r) == expecte...
def remove_plural_words (dictionary, lang): """ `remove_plural_words()` removes from the dictionary every word that is already in the dictionary in singular form. * **dictionary** (*list*) : the input dictionary (while processing) * **lang** (*str*) : the language used to follow plural rules (only...
def ValueNameFromTraceAndChartName(trace_name, chart_name=None): """Mangles a trace name plus optional chart name into a standard string. A value might just be a bareword name, e.g. numPixels. In that case, its chart may be None. But, a value might also be intended for display with other values, in which ca...
def f_beta(precision, recall, beta = 1): """ Get F_beta score from precision and recall. """ beta = float(beta) # Make sure that results are in float return (1 + pow(beta, 2)) * (precision * recall) / ((pow(beta, 2) * precision) + recall)
def split(number, portion=0.9): """ splitting a data set into train and val set :param number: Int / number of samples in dataset :param portion: Float / percentile of samples that go into train set :return: list of Int / numbers indicating samples needed in train and val set according to portion ...
def xp_calculation(length: int): """ Calculate the XP for the given message length :param length: :return: """ if length <= 10: xp = 0.1 elif 10 < length <= 200: xp = ((length / 200) * 2.5) + 0.5 elif 200 < length <= 400: xp = 2.5 elif 400 < length <= 600: ...
def to_one_dimensional_array(iterator): """convert a reader to one dimensional array""" array = [] for i in iterator: if type(i) == list: array += i else: array.append(i) return array
def floor_lg(n: int) -> int: """Return floor(log_2(n)) for a positive integer `n`""" assert n > 0 r = 0 t = 1 while 2 * t <= n: t = 2 * t r = r + 1 return r
def get_command_from_state(state): """ This method gets appropriate command name for the state specified. It returns the command name for the specified state. :param state: The state for which the respective command name is required. """ command = None if state == 'present': command ...
def transform(data, ops=None): """ transform """ if ops is None: ops = [] for op in ops: data = op(data) if data is None: return None return data
def db_to_lin(db): """ Convert gain in dB to linear. """ return 10.0**(db/20.0)
def validate_port_number(port_number): """Check if the port number is within range. :param int port_number: The port number to check. :return: True if the port number is valid; false if not. :rtype: bool :raises ValueError: if the port number is invalid. """ if port_number not in range(0,...
def serial_to_ring(x: int) -> int: """Convert serialized chamber id to ring.""" return ((x >> 6) & 0x00000003) + 1
def collect_functions(functions, r=None): """Return functions for next values of latches. @param functions: `dict` as returned by `make_functions` """ if r is None: r = dict() r.update( (var, d['function']) for var, d in functions.items()) return r
def merge_lines(lines, start, join=" "): """Gets a single continuous string from a sequence of lines. :param list lines: The lines to merge. :param int start: The start point in each record. :param str join: The string to join on. :rtype: ``str``""" string = join.join([line[start:].strip() for...
def cvtHH(hhstr, pos=0): """ Convert HH hex [sub]string value into integer. Parameters: hhstr - HH [sub]string format: "....HH...." pos - starting position in string. default: 0 (start of string) Return Value: Returns converted integer va...
def add_device_info(mappings, session): """ Adds the informations about the device for each mapping. - If the mapping is related to a device, gives the device id. - If it is common space, takes the id 0 - ! Not used here ! If it is part of a "memory hole", id is -1 Input : ...
def perimeterTriangle(side1: float, side2: float, base: float) -> float: """Finds perimeter of triangle""" perimeter: float = side1 + base + side2 return perimeter
def pixellate(resolution_x=320, resolution_y=240): """ A sharp pixellation filter. Author: SolarLune Date Updated: 6/6/11 resolution_x = target resolution on the X axis. Defaults to 320. resolution_y = target resolution on the Y axis. Defaults to 240. A larger X-axis resolution would equa...
def incident_related_resource_data_to_xsoar_format(resource_data, incident_id): """ Convert the incident relation from the raw to XSOAR format. :param resource_data: (dict) The related resource raw data. :param incident_id: The incident id. """ properties = resource_data.get('properties', {}) ...
def clean_word(word): """Cleans word from chars that are not allowed Arguments: word {string} -- the word to be cleaned """ return word.replace('\n', '').replace('=', '').replace('(', '').replace(')', '') \ .replace('"', '') .replace(',', '').replace('.', '')
def is_good(entry): """ Good entries on a bropage have more upvotes than downvotes. """ try: return entry["up"] >= entry["down"] except: return True
def binary_search(arr, key): """ Searches for the key in a list and returns the position of the key in the array. If the key can not be found in the list, raise a ValueError Will keep shifting the middle point for as long as the middle value is not equal to the search key If, the search key is less ...
def validate_ansible_playbook(response_dict): """ Validate if ansible playbook ran OK. Returns: success = Bool """ if ( "FAILED" in response_dict["ansible_output"] or "ERROR" in response_dict["ansible_output"] or "WARNING" in response_dict["ansible_output"] ): suc...
def unique_match_from_list(list): """ Check the list for a potential pattern match @param list : a list of potential matching groups @rtype : return the string representation of the unique value that matched, or nothing if nothing matched """ result = '' for item in lis...
def strip_shacl_prefix(url: str) -> str: """Strip the shacl prefix and return value of the url. Args: url (str): String with shacl prefix. Returns: str: String after removing shacl prefix.. """ term = str(url) return term[27:]
def parse_updates(updates_string): """ Parses updates string in a report and returns a sanitized version """ updates = [] ulist = updates_string.split() while ulist: updates.append('{0!s} {1!s} {2!s}\n'.format(ulist[0], ulist[1], ...
def value_of_card(card: str): """Determine the scoring value of a card. :param card: str - given card. :return: int - value of a given card. See below for values. 1. 'J', 'Q', or 'K' (otherwise known as "face cards") = 10 2. 'A' (ace card) = 1 3. '2' - '10' = numerical value. """ i...
def check_brack_o(count): """ Help funktion for balance brackets """ if count > 0: print("No match") return 0 return 1
def is_virtual_column(col_id): """ Returns whether col_id is of a special column that does not get communicated outside of the sandbox. Lookup maps are an example. """ return col_id.startswith('#')
def like_rnncell(cell): """Checks that a given object is an RNNCell by using duck typing.""" conditions = [hasattr(cell, "output_size"), hasattr(cell, "state_size"), hasattr(cell, "zero_state"), callable(cell)] return all(conditions)
def check_abs_diff(x0: float, x1: float, tol: float = 3) -> bool: """ Check absolute difference between two numbers. This will test if the absolute difference between two numbers is within a certain tolerance. Parameters ---------- x0, x1: float the numbers to difference tol: f...
def levenshtein_dynamic(s1: str, s2: str) -> int: """Return the minimum edit distance between strings s1 and s2. This function implements the Levenshtein distance algorithm using Dynamic Programming. Note: This function is not required by the levenshtein automaton, but I felt it that it could be useful...
def escape(s): """Replace special characters '&', "'", '<', '>' and '"' by XML entities.""" s = s.replace("&", "&amp;") # Must be done first! s = s.replace("'", "&apos;") s = s.replace("<", "&lt;") s = s.replace(">", "&gt;") s = s.replace('"', "&quot;") return s
def fuzzy_match_simple(pattern, instring): """Return True if each character in pattern is found in order in instring. :param pattern: the pattern to be matched :type pattern: ``str`` :param instring: the containing string to search against :type instring: ``str`` :return: True if there is a ma...
def to_tuple(param, low=None): """Converts a parameter to a tuple.""" if isinstance(param, (list, tuple)): return tuple(param) elif param is not None: if low is None: return -param, param return (low, param) if low < param else (param, low) else: return param
def variable_id(printer, ast): """Prints "varName [= initData]".""" var_name_str = ast["varName"] array_decl_str = ''.join(map(lambda decl: f'[{printer.ast_to_string(decl)}]', ast["arrayDecl"])) init_data_str = f' = {printer.ast_to_string(ast["initData"])}' if ast.get("initData") else '' return f'{v...
def _is_from_logout(request): """ Returns whether the request has come from logout action to see if 'is_from_logout' attribute is present. """ return getattr(request, 'is_from_logout', False)
def normalize_spaces(s): """replace any sequence of whitespace characters with a single space""" return ' '.join(s.split())
def parseNeighbors_rank(urls): """Parses a urls pair string into urls pair.""" parts = urls.split(',') res=float(float(parts[2])/float(parts[3])) return parts[1], res
def load_model(known_loaders, outname, **kwargs): """If `model_type` is given, use it to load an addon model and construct that OW use default :param known_loaders: Map of baseline functions to load the model, typically a static factory method :param outname The model name to load :param kwargs: Anythi...
def get_P_X_past_cond_X(past_symbol_counts, number_of_symbols): """ Compute P(X_past | X), the probability of the past activity conditioned on the response X using the plug-in estimator. """ P_X_past_cond_X = [{}, {}] for response in [0, 1]: for symbol in past_symbol_counts[response...
def change_app_header(uri, headers, body): """ Add Accept header for preview features of Github apps API """ headers["Accept"] = "application/vnd.github.machine-man-preview+json" return uri, headers, body
def translate(old, translation_table): """Returns a new dictionary with keys based on translation_table.""" result = dict() for field, val in old.items(): if field in translation_table: result[translation_table[field]] = val else: result[field] = val return result
def is_sequence(arg): """Check if an object is iterable (you can loop over it) and not a string.""" return not hasattr(arg, "strip") and hasattr(arg, "__iter__")
def get_foot_point(point, line_p1, line_p2): """ @point, line_p1, line_p2 : [x, y, z] """ x0 = point[0] y0 = point[1] # z0 = point[2] x1 = line_p1[0] y1 = line_p1[1] # z1 = line_p1[2] x2 = line_p2[0] y2 = line_p2[1] # z2 = line_p2[2] assert not (x1 == x2 and y1 == y...
def pmr_corr(vlos, r, d): """ Correction on radial proper motion due to apparent contraction/expansion of the cluster. Parameters ---------- vlos : float Line of sight velocity, in km/s. r : array_like, float Projected radius, in degrees. d : float Cluster distan...
def if_(if_func, func, arg): """Whether to apply a function or not """ if if_func(arg): return func(arg) return arg
def offsets_transform(row_offset, col_offset, transform): """Calculating new geotransform for each segment boxboundary""" new_geotransform = [ transform[0] + (col_offset * transform[1]), transform[1], 0.0, transform[3] + (row_offset * transform[5]), 0.0, t...
def _normalize_typos(typos, replacement_rules): """ Applies all character replacement rules to the typos and returns a new dictionary of typos of all non-empty elements from normalized 'typos'. """ if len(replacement_rules) > 0: typos_new = dict() for key, values i...
def dfs_category_dictionary(categories, categories_df, parentId, count): """ dfs predefined predefined hierarchical categories. :param categories: each topic's predefined hierarchical categories. :param categories_df: dataframe stroes data :param parentId: id of parent categories :param count: ...
def stringify_keys(d): # taken from https://stackoverflow.com/a/51051641 """Convert a dict's keys to strings if they are not.""" keys = list(d.keys()) for key in keys: # check inner dict if isinstance(d[key], dict): value = stringify_keys(d[key]) else: va...
def classify(s, data_set, suffixes=None): """ Return True or some classification string value that evaluates to True if the data in string s is not junk. Return False if the data in string s is classified as 'junk' or uninteresting. """ if not s: return False s = s.lower().strip('/')...
def intersection(list_to_intersect): """ Helper method to intersect lists """ lst0 = list_to_intersect[0] for lst1 in list_to_intersect[1:]: lst0 = [value for value in lst0 if value in lst1] return lst0
def print_error(message): """ returns a message to be printed in red """ return '\033[31m{}\033[0m'.format(str(message))