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def compute_min_value(ad_bits): """Compute the min value for the codebook with codewords of length ad_bits :param ad_bits: codeword length :type ad_bits: int :return: min value :rtype: int """ tab = [0, None, 1, 6, 18, 83, 376, 1264, 5263, 17580, 72910] return tab[ad_bits]
def solution1(A): """ Assumes A is an unsorted list and this implementation makes no attempt at pre-sorting numbers. :param A: List - An unsorted list of ints :returns: int - the smallest positive integer (greater than 0) that does not occur in A """ if 1 not in A: return 1 smallest = 10000...
def rotate_matrix(matrix): """rotates a matrix 90 degrees clockwise""" n = len(matrix) for layer in range(n // 2): first, last = layer, n - layer - 1 for i in range(first, last): # save top top = matrix[layer][i] # left -> top matrix[layer][i]...
def get_codelist_values(elements: list) -> list: """ Returns list of code list values as strings for all elements (except the ones with no value) The value can be in the element attribute or text node. :param elements : The elements to check """ values = [] for element in elements: ...
def elite_selection(population, elite_num): """ Uses elite selection to pick elite_num units from population :param population: population to be picked from :param elite_num: number of units to be selected :return: array of selected units """ return population[:elite_num]
def keep_file(filepath): """Decide if we keep the filepath, solely by exlcusion of end of path This is primarily to avoid keeping .pyc files >>> keep_file('/foo.pyc') False """ ignoredpathendings = ['.pyc',] for ending in ignoredpathendings: if filepath.endswith(ending): ...
def process_results(results): """Construct the request response into a slightly more intuitive structure """ response = {} try: response['count'] = int(results['d']['__count']) except: response['count'] = None if 'error' in results.keys(): response['error'] = result...
def fibonacci(num): """ Use fibonacci as test case for int variable names """ count = 0 if num < 0: return None elif num == 0: return 0 elif num == 1 or num == 2: return 1 else: return fibonacci(num - 1) + fibonacci(num - 2)
def tolist(data): """ if data is a string, convert to [data] if already a list, return the list input: data : str or list of str output: data : list of str """ if isinstance(data, str): return [data] return data
def force_str_2_bool(bool_str: str, raise_if_unknown: bool = False) -> bool: """convent 'True' or 'False' to bool, using on query_param""" if isinstance(bool_str, bool): return bool_str if bool_str in ["True", "true", "1"]: return True elif bool_str in ["False", "false", "0"]: r...
def rotate_grid(grid): """ Rotates the input 90 degrees clockwise :param list grid: input with nested lists to format """ return list(zip(*grid[::-1]))
def is_cython_function(fn): """Checks if a function is compiled w/Cython.""" if hasattr(fn, "__func__"): fn = fn.__func__ # Class method, static method name = type(fn).__name__ return ( name == "method_descriptor" or name == "cython_function_or_method" or name == "builti...
def _normalize_managed_link(managed_link) -> dict: """ Update Api-doc version Args: file_path': 'str', version_info: 'str' Returns: """ n_normalized = {} for key, value in managed_link.items(): n_key = key.replace('_', ' ') n_v...
def color_brightness(color): """Calculate the brightness of an RGB color as a value between 0 and 1.""" r = float(color["r"]) g = float(color["g"]) b = float(color["b"]) if "cs" in color and color["cs"].lower() != "srgb": # Generic fallback. https://www.w3.org/TR/AERT/#color-contrast ...
def midpoint(pt1, pt2): """Computes the midpoint between two points""" x = pt2[0]+int((pt1[0]-pt2[0])/2) y = pt2[1]+int((pt1[1]-pt2[1])/2) return (x,y)
def filter_results(analysis_results, name): """Filter list of analysis results by result name""" for result in analysis_results: if result.name == name: return result return None
def retry_http(response): """Retry on specific HTTP errors: * 429: Rate limited to 50 reqs/minute. Args: response (dict): Dynatrace API response. Returns: bool: True to retry, False otherwise. """ retry_codes = [429] code = int(response.get('error', {}).get('code', 200)) ...
def filter_below(threshold, results): """Filters items below a certain threshold out.""" out_list = [] for line in results: if line['validation_acc'] > threshold: out_list.append(line) return out_list
def get_version_from_tag(tag): """Handles 1.5.0 or v1.5.0""" return tag[1:] if tag.startswith('v') else tag
def int_or_tuple(value): """Converts `value` (int or tuple) to height, width. This functions normalizes the input value by always returning a tuple. Args: value: A list of 2 ints, 4 ints, a single int or a tf.TensorShape. Returns: A list with 4 values. Raises: ValueError:...
def sanitize_dictlist(dict_list): """Do some cleanup. String 'True' and 'False' must be interpreted as bool values. Empty string should evaluate to None.""" for element in dict_list: for key,value in element.items(): if value == 'False': element[key] = False if value ...
def kahan_sum(list_of_floating_point_numbers): """ Computes the sum of a list of floating point numbers, correcting for precision loss. Parameters: ---------- list_of_floating_point_numbers: ndarray Returns: ------- Sum of the elements. """ suma = 0.0 c = 0.0 for i in r...
def file_comparison(files0, files1): """Compares two dictionaries of files returning their difference. {'created_files': [<files in files1 and not in files0>], 'deleted_files': [<files in files0 and not in files1>], 'modified_files': [<files in both files0 and files1 but different>]} ...
def sort(s, reverse=False): """ Sort given string by ascending order. If reverse is True, sorting given string by descending order. """ return ''.join(sorted(s, reverse=reverse))
def numeric_cast (v): """Try to cast values to int or to float""" if type(v)== str: try: v = int(v) except ValueError: try: v = float(v) except ValueError: pass return v
def save_str_as_file(str, filepath): """Save a string to a file and return the file path. Keyword arguments: str - the string that you want to save as in a file filepath - the path to the file that you want to save the string to """ with open(filepath, "w", encoding="utf-8") as file: ...
def clean_nginx_git_tag(tag): """ Return a cleaned ``version`` string from an nginx git tag. Nginx tags git release as in `release-1.2.3` This removes the the `release-` prefix. For example: >>> clean_nginx_git_tag("release-1.2.3") == "1.2.3" True >>> clean_nginx_git_tag("1.2.3") == "1...
def bytes_to_readable(bytes_value): """ Convert bytes to a readable form :param bytes_value: int, bytes :return: string, readable value, like 1GB """ from math import ceil if bytes_value > 1073741824: # 1073741824 = 1024 * 1024 * 1024 # bytes to gigabytes readable_val...
def is_tracked_zone(cname, zones): """ Is the root domain for the provided cname one of the known domains? """ for zone in zones: if cname.endswith("." + zone) or cname == zone: return True return False
def part_exists(partitions, attribute, number): """ Looks if a partition that has a specific value for a specific attribute actually exists. """ return any( part[attribute] and part[attribute] == number for part in partitions )
def _resolve_name(name, package, level): """Return the absolute name of the module to be imported.""" level -= 1 try: if package.count('.') < level: raise ValueError("attempted relative import beyond top-level " "package") except AttributeError: ...
def str_to_date(_data: str) -> str: """ formata a string da data para um formato que possa ser inserido no banco como date :param _data: str :return: str """ return str(_data)[-4:] + '-' + str(_data)[-6:-4] + '-' + str(_data)[:-6]
def set_async_call_stack_depth(maxDepth: int) -> dict: """Enables or disables async call stacks tracking. Parameters ---------- maxDepth: int Maximum depth of async call stacks. Setting to `0` will effectively disable collecting async call stacks (default). """ return { ...
def db2mag(x): """ Converts from dB to magnitute ratio Parameters ---------- x - Input in dB Returns ------- m - magnitude ratio """ m = 10.0 ** (x / 20.0) return m
def sign(number): """Returns 1 if number is positive, -1 if number is negative and 0 if number is 0""" if number < 0: return -1 elif number > 0: return 1 else: return 0
def _convert(text, mapping): """ Convert the text using the mapping given """ for key, value in mapping.items(): if isinstance(value, str): text = text.replace(key, value) else: while key in text: for actualValue in value: text ...
def pluralize(apitools_collection_guess): """Pluralize krm_kind and handle common atypical pluralization cases.""" ending_plurals = [('Policy', 'Policies'), ('Proxy', 'Proxies'), ('Repository', 'Repositories'), ('Index', 'Indexes'), ('Address', 'Addresses')] found_plural = ...
def parse_hashtag_string(hashtags: str) -> list: """Parses string of hashtags returns list.""" return list(set([item.strip() for item in hashtags.split("#") if item != ""]))
def vec_2_str(vec): """ Convert vector of integers to string. :param vec: [int, int, ...] :return: string """ char_vec = [chr(i) for i in vec] return ''.join(char_vec)
def get_scenario_start_index(base_times, scenario_start_time): """ Returns the index of the closest time step that is at, or before the scenario start time. """ indices_after_start_index = [ idx for idx, time in enumerate(base_times) if time > scenario_start_time ] if not indices_after_s...
def ujoin(*args): """Join strings with the url seperator (/). Note that will add a / where it's missing (as in between 'https://pypi.org' and 'project/'), and only use one if two consecutive tokens use respectively end and start with a / (as in 'project/' and '/pipoke/'). >>> ujoin('https://pypi.o...
def foo2(value): """Bare return statement implies `return None`""" if value: return value else: return
def is_float(string): """ Check whether string is float. See also -------- http://stackoverflow.com/questions/736043/checking-if-a-string-can-be-converted-to-float-in-python """ try: float(string) return True except ValueError: return False
def get_objects_name(train_files): """ returns: object name, unique str in case of shapenet given names in case of pallet """ objs = list() for t in train_files: splits = t.split('/')[-1] obj = splits[:-4] objs.append(obj) return objs
def max_sub_array(nums): """ Returns the max subarray of the given list of numbers. Returns 0 if nums is None or an empty list. Time Complexity: ? Space Complexity: ? """ if nums == None or len(nums) == 0: return 0 if len(nums) == 1: return nums[0] max_...
def js_lang_fallback(lang_name, js_name=None): """ Return the fallback lang name for js files. :param a :class:`str:` :param js_name: a :class:`str:`, optional. :return: a :class:`str:` """ # The mapping is crap, we use a special case table to fix it. if js_name == "fullcalendar": ...
def mag_zeropoint(filter_name): """ Given a filter name, return the number of photons per square centimeter per second which a star of zero'th magnitude would produce above the atmosphere. We assume that the star has a spectrum like Vega's. The numbers are pre-calculated and we just pick the approp...
def make_virtual_offset(block_start_offset, within_block_offset): """Compute a BGZF virtual offset from block start and within block offsets. The BAM indexing scheme records read positions using a 64 bit 'virtual offset', comprising in C terms: block_start_offset << 16 | within_block_offset Here ...
def data_consistency(k, k0, mask, noise_lvl=None): """ k - input in k-space k0 - initially sampled elements in k-space mask - corresponding nonzero location """ v = noise_lvl if v: # noisy case out = (1 - mask) * k + mask * (k + v * k0) / (1 + v) else: # noiseless case ...
def groupby_type(estimators): """ finds the number of estimators for each estimator class :param estimators: list of estimators (not necessarily trained) :return: a dictionary of estimator class as key and frequency as value """ unique_classes = {} for estimator in estimators: clf_na...
def split(string, separator=None, max_splits=-1): """:yaql:split Returns a list of tokens in the string, using separator as the delimiter. :signature: string.split(separator => null, maxSplits => -1) :receiverArg string: value to be splitted :argType string: string :arg separator: delimite...
def _get_exclude_files(old_baseline): """ Older versions of detect-secrets always had an `exclude_regex` key, this was replaced by the `files` key under an `exclude` key in v0.12.0 :rtype: str|None """ if old_baseline.get('exclude'): return old_baseline['exclude']['files'] if old_ba...
def PssmValidator(pssm): """validate each PSSM matrix format, no head. pssm = [[], [], ... , []] """ for pos in pssm: if len(pos) != 4: return False for base in pos: try: float(base) except ValueError: return False r...
def linesegmentsintersect(p1, p2, q1, q2): """Checks if two line segments intersect. Input: p1 : The start vertex of the first line segment. p2 : The end vertex of the first line segment. q1 : The start vertex of the second line segment. q2 : The end vertex of the second line se...
def has_str_prefix(value: str) -> bool: """ Inspect a token value of type string to check if it has a prefix or contains escaped characters. Args: value (str): the string value of this token Returns: Boolean defining whether value has a prefix """ string_prefix = ["r", "u",...
def flatten_verifications(old_verifications): """ Convert verifications from v1 to v2 """ new_verifications = [] for key in old_verifications: verification = old_verifications[key] verification['key'] = key new_verifications.append(verification) return new_verifications
def get_iptc_seg(segments): """Returns iptc from JPEG meta data list """ for seg in segments: if seg[0:2] == b"\xff\xed": return seg return None
def get_processing_instructions(body): """ Extract the processing instructions / acl / etc. at the beginning of a page's body. Hint: if you have a Page object p, you already have the result of this function in p.meta and (even better) parsed/processed stuff in p.pi. Returns a list of...
def is_char_field(model_field): """ Checks if a model field is a char field. """ class_name = model_field.__class__.__name__ return class_name == 'CharField'
def _list_d2s(int_list): """Converts a list of ints to strings.""" return ["{:d}".format(x) for x in int_list]
def cssid(input): """Custom filter""" return f"#{input}"
def cast_uint(value): """ Cast value to 32bit integer Usage: cast_int(1 << 31) == 2147483648 """ value = value & 0xFFFFFFFF return value
def make_great(magicians): """Modify each magician name in a list.""" great_magicians = [] while magicians: great_magicians.append(magicians.pop() + " the Great") return great_magicians
def head_of_all(x, l): """List of lists from l where x is the head of all the lists.""" return [[x] + p for p in l]
def _check_sorting_runs(candidates, id_char): """helper to ensure correct run-parsing and mapping""" run_idx = [f.find(id_char) for f in candidates] for config, idx in zip(candidates, run_idx): assert config[idx - 1].isdigit() assert not config[idx - 2].isdigit() runs = [int(f[idx - 1]) ...
def read_float(field: str) -> float: """Read a float.""" return float(field) if field != "" else float('nan')
def isValidArgument(s): """Returns whether s is strictly a valid argument for an IRC message.""" return '\r' not in s and '\n' not in s and '\x00' not in s
def _IsReadableStream(obj): """Checks whether obj is a file-like readable stream. :rtype: boolean """ if (hasattr(obj, 'read') and callable(getattr(obj, 'read'))): return True return False
def format_team(team_id, name, div_id): """ Helper for team row formatting """ data_point = {} data_point["ID"] = team_id data_point["Name"] = name data_point["DivisionID"] = div_id return data_point
def calc_delta(r, aa): """ Calculate ubiquitous function on Kerr spacetimes. Parameters: r (float): radius aa (float): spin parameter (0, 1) Returns: delta (float) """ # return r * r - 2 * r + aa * aa return r * (r - 2) + aa * aa
def priority_offset(priority): """ Args: priority: Returns: """ if priority == 'low': return .7 elif priority == 'medium': return .5 elif priority == 'high': return .3 else: return .1
def tree_binary(t): """Returns true just in case `t` is locally binary branching.""" return (len(t) == 2)
def generate_splits_name(y_size, z_size, x_size, Y_size, Z_size, X_size, out_dir, filename_prefix, extension): """ generate all the splits' name based on the number of splits the user set """ split_names = [] for x in range(0, int(X_size), int(x_size)): for z in rang...
def epsilon(dtype): """A simple way to determine (at runtime) the precision of a given type real number. Precision is defined such that (1.0 + epsilon(dtype) > 1.0). Below this number, the addition will not yield a different result. """ one = dtype(1.0) small = one small2 = small while one + small > o...
def list_check(lst): """Are all items in lst a list? >>> list_check([[1], [2, 3]]) True >>> list_check([[1], "nope"]) False """ t = [1 if isinstance(x, list) else 0 for x in lst] return len(lst) == sum(t)
def _clean_string(value): """ Return `str(value)` if it's a string or int, otherwise "". """ if isinstance(value, (int,) + (str,)): return str(value) return ""
def canConstruct_v2(ransomNote: str, magazine: str) -> bool: """The LeetCode solution runner judges this as the fastest solution of all four.""" for letter in set(ransomNote): if ransomNote.count(letter) > magazine.count(letter): return False return True
def add_protocol(x): """Add https protocol to link""" return f"https:{x}" if x.startswith("//") else x
def get_cancer_types(file_paths_by_cancer): """ Maps cancer type to an index value Parameters: file_paths_by_cancer: (dict) cancer : list of data files Returns: cancer_dict: (dict) cancer : integer identifier """ cancer_dict = {} cancer_index = 0 for cancer in file_paths_by_c...
def dt_calc(etime): """Returns an interval of time that increased as the ellapsed time etime increases""" if etime <= 60: return 5 elif etime <= 300: return 10 elif etime <= 600: return 30 elif etime <= 3600: return 60 else: return 300
def pyopenssl_callback(conn, cert, errno, depth, ok): """Callback method for _get_cert_alternate""" if depth == 0 and (errno == 9 or errno == 10): return False return True
def to_tuple(lst): """Recursively convert nested lists to nested tuples.""" return tuple(to_tuple(i) if isinstance(i, list) else i for i in lst)
def UFP_(kexo,Sexo,kendo,kin,kout,Aspine): """Returns the fixed point of the mobile receptor pool. Parameters ---------- kexo : float Rate of exocytosis events occuring at the spine. Sexo : float Exocytosis event size. kendo : float Rate at which receptors are endocytose...
def resolve_conflicts(inputs, outputs): """ Checks for duplicate inputs and if there are any, remove one and set the output to the max of the two outputs Args: inputs (list<list<float>>): Array of input vectors outputs (list<list<float>>): Array of output vectors Returns: tup...
def abs_value_equal(x, y): """Return whether or not the absolute value of both numbers is the same. Please refrain from using libraries (abs) >>> abs_value_equal(-2, -2) True >>> abs_value_equal(-3, 3) True >>> abs_value_equal(1, 2) False >>> abs_value_equal(3, 3) True >>> ...
def norm_label(y, left_min, left_max, right_min, right_max): """ normalise the value :param y: original value :param left_min: original min :param left_max: original max :param right_min: desired min :param right_max: desired max :return: normalised steering angle """ left_sp...
def json_patch(from_obj, to_obj, ignore_keys=None, only_keys=None, no_remove=False): """ Creates a JSON patch diff between two objects. Arguments: from_obj (dict): from object, usually the existing object returned by API to_obj (dict): to object, usually the new object to return Keyword argume...
def full_dict(ldict, keys): """Return Comparison Dictionaries from list dict on keys keys: a list of keys that when combined make the row in the list unique """ if type(keys) == str: keys = [keys] else: keys = keys cmp_dict = {} for line in ldict: in...
def quick_sort_out_of_place(array): """Recursive QuickSort Implementation: - O(nlog(n)) time - O(n) space (out of place) - unstable - pivot = mean of the range (best on normal, numerical distributions) """ # Base Case if len(array) < 2: return array # Recurisive Case - choose...
def prefixed_with_varlong(buf, mlen=10): """ Returns whether the data is prefixed with what is probably a valid varint """ for i in range(mlen): if len(buf) <= i: return False if buf[i] & 0x80 == 0x00: return True return False
def remove_quotes(value, unused): """Remove quotes helper.""" return value.replace('"', "")
def interpolateLinear( y1, # y2, # x # weighting [0..1]. 0 would be 100 % y1, 1 would be 100 % y2 ): """ simple linear interpolation between two variables @param y1 @param y2 @param x weighting [0..1]: 0 would be 100 % y1, 1 would be 100 % y2 @return the interpolated value """ return y1 * (1.0 - x) + y...
def remove_spaces(input_text, main_rnd_generator=None, settings=None): """Removes spaces. main_rnd_generator argument is listed only for compatibility purposes. >>> remove_spaces("I love carrots") 'Ilovecarrots' """ return input_text.replace(" ", "")
def guess_keys(data): """Guess keys should be uniform from first item """ return list(data[0].keys())
def lr_schedule(epoch): """Learning Rate Schedule Learning rate is scheduled to be reduced after 80, 120, 160, 180 epochs. Called automatically every epoch as part of callbacks during training. # Arguments epoch (int): The number of epochs # Returns lr (float32): learning rate ""...
def drop_role(role): """Helper method to construct SQL: drop role.""" return f"DROP ROLE IF EXISTS {role};"
def get_positions(start_idx, end_idx, length): """ Get subj/obj position sequence. """ return list(range(-start_idx, 0)) + [0] * (end_idx - start_idx + 1) + \ list(range(1, length - end_idx))
def _get_random_seeds(i): """ returns 10 seeds """ seed_list = [42, 103, 13, 31, 17, 23, 46, 57, 83, 93] return seed_list[i - 1]
def splitFullFileName(fileName): """ split a full file name into path, fileName and suffix @param fileName @return a list containing the path (with a trailing slash added), the file name (without the suffix) and the file suffix (without the preceding dot) """ tmp = fileName.split...
def score_by_source_ips(event, attributes): """ Score based on number of source IPs implicated """ score = 0 for attribute in attributes: if attribute["category"] == "Network activity": ty = attribute["type"] if ty == "ip-src": score += 3 return score