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def term256color(r, g, b, a): """Get the xterm-color palette entry for given color""" def f(v): if v < 0: return 0 elif v > 5: return 5 else: return round(v) term = a / 256 / 256 * 6 r = f(r * term) g = f(g * term) b = f(b * term) r...
def dict_depth(dictionary): """Get depth of nested dict """ if isinstance(dictionary, dict): return 1 + (max(map(dict_depth, dictionary.values())) if dictionary else 0) return 0
def _desempaquetar_segmento(x): """ Extrae de la cadena las centenas, decenas y unidades por separado. Tener en cuenta que puede que la cadena tenga una longitud inferior 3. :param x: str de como mucho 3 caracteres. :return tuple: tupla de 3 enteros que representan a centenas, decena...
def split_str(seq, length): """Separate a string seq into length-sized pieces. Parameters ---------- seq : str String containing sequence of smaller strings of constant length. length : int Length of individual sequences. Returns ------- list of str List of stri...
def percent2float(percent): """ Converts a string with a percentage to a float. """ percent = percent.replace(" ", "") percent = percent.strip("%") return float(percent) / 100
def get_arg_list_value(arg_values, key): """ Check and return an argument value by key. Arguments: arg_values : list key : str Returns: str """ for item in arg_values: if item and item.startswith("{0}=".format(key)): return item[(len(key) + 1) :] ...
def find(s, *args): """find(s, sub [,start [,end]]) -> in Return the lowest index in s where substring sub is found, such that sub is contained within s[start,end]. Optional arguments start and end are interpreted as in slice notation. Return -1 on failure. """ return s.find(*args)
def produced_by(entry): """ Modify source activity names to clarify data meaning :param entry: str, original source name :return: str, modified activity name """ if "ArtsEntRec" in entry: return "Arts Entertainment Recreation" if "DurableWholesaleTrucking" in entry: return "D...
def flatten(l): """ Flatten irregular nested list :param l: :return: """ if isinstance(l, (list, tuple)): return [a for i in l for a in flatten(i)] else: return [l]
def minOperations(n): """ Method that calculates the fewest number of operations needed to result in exactly n H characters in the file. Args: n: integer (number of characters to reach) Returns: An integer (the minimum number of operations to reach n) """ if type(n) != int ...
def flatten_config_dict(x, prefix=""): """Flattens config dict into single layer dict Example: flatten_config_dict({ MODEL: { FBNET_V2: { ARCH_DEF: "val0" } } }) => {"MODEL.FBNET_V2.ARCH_DEF": "val0"} """ ...
def resolve(json_path, obj): """Extract the subtree within `obj` addressed by `json_path`.""" for part in json_path: obj = obj[part] return obj
def insertion(sortlist): """starts from index 1, sorts everything behind and moves forward.""" for i in range(1,len(sortlist)): element = sortlist[i] j = i while j > 0 and sortlist[j-1] > element: sortlist[j] = sortlist[j-1] j = j - 1 sortlist[j] = elemen...
def transform_gender(value): """ Transform any gender value into a normalized value. """ if value.lower() in ("male", "m"): return "male" elif value.lower() in ("female", "f"): return "female" elif value.lower() in ("other", "o"): return "other" elif value.lower() in ...
def color_RGB_and_brightness_to_RGB(brightness: int, rgb=(0, 0, 0)): """Combine RGB and brightness""" rgb = [int((x / 255.0) * brightness) for x in rgb] return tuple(rgb)
def urlify(s): """ Turn plot title into filename for saving """ import re s = s.lower() s = re.sub(r"[^\w\s-]", '', s) s = re.sub(r"\s+", '-', s) s = re.sub(r"-(textbf|emph|textsc|textit)", '-', s) return s
def reformat_params(params): """Translate to spreadsheet values.""" params['mechanism'] = 1 + ['NS', 'RS', 'SS'].index(params['mechanism']) return params
def get_quantmap(features, acc_col, quantfields): """Runs through proteins that are in a quanted protein table, extracts and maps their information based on the quantfields list input. Map is a dict with protein_accessions as keys.""" qmap = {} for feature in features: feat_acc = feature.pop...
def entity_merge(entities): """Merge entities.""" entity_index = {} for obj in entities: entity = obj['entity'] data = obj['data'] if entity not in entity_index: entity_index[entity] = {'entity': entity, 'data': []} entity_index[entity]['data'] += data if ...
def disabled_due_to_debug(opbeat_config, debug): """ Compares module and app configs to determine whether to log to Opbeat :param opbeat_config: Dictionary containing module config :param debug: Boolean denoting app DEBUG state :return: Boolean True if logging is disabled """ return debug an...
def unique_key(key, current_keys, update_keys = False): """Returns a unique key given a list of current keys. If the key exists in current_keys then a new key with _1, _2, ..., etc appended will be returned, otherwise the key will be returned as passed. Args: key: desired key...
def lsp_create_json(src, dst, name_of_lsp , pcc, debug): """ build a json structure to create LSPs """ lsp_dict = {} lsp_dict.update({"input":{}}) lsp_dict["input"].update({"node":pcc, "name": name_of_lsp, "network-topology-ref":'/network-topolog...
def get_style(count, passed): """ Determine if this directory is good based on the number of clean files vs the number of files in total. """ if passed == count: return ":good:" if passed != 0: return ":part:" return ":none:"
def destabilize(tensor, log_register): """ Incorporate log register rescaling into input tensor """ return tensor * 2.0**log_register
def get_site(coord, L): """Get the site index from the 2-vector of coordinates.""" # 2D hardcoded return coord[0] * L[1] + coord[1]
def cvtBitLstToInt(bLst, base=10): """ bLst: int-list or str-list: [bm, bm-1, ..., b0] representing number (bm bm-1 ... b0)base NOTE: May use np.array to handle int/str differences See: https://docs.scipy.org/doc/numpy/reference/generated/numpy.fromstring.html """ result = 0 for ...
def vector_op(lst, func): """ IMPORTANT: You should ONLY use one-line list comprehension. Make a function that applies given function to the given list. >>> lst = [1,2,3] >>> vector_op(lst, square) [1, 4, 9] >>> lst = [1,2,3,5] >>> vector_op(lst, lambda x: -x) [-1, -2, -3, -5] ...
def convert_rankine_to_kelvin(temp): """Convert the temperature from Rankine to Kelvin scale. :param float temp: The temperature in degrees Rankine. :returns: The temperature in degrees Kelvin. :rtype: float """ return (temp * 5) / 9
def _format_warning(message, category, filename, lineno, line=None): # noqa: U100, E501 """ Simple format for warnings issued by ProPlot. See the `internal warning call signature \ <https://docs.python.org/3/library/warnings.html#warnings.showwarning>`__ and the `default warning source code \ <https://...
def compare_dicts(file, src_test_dict, infer_dict): """ Check if a particular file exists in the source/test dict and infer dict If file exists, decrement the counter in both dictionaries Args: file: file potentially not analyzed by infer src_test_dict: dictionary contain...
def stringify(plaintext): """ Used to convert hex integers into a string when decrypting. :param plaintext: a hex integer number. :return: a ascii string. """ if len(plaintext) % 2 == 1: plaintext = '0' + plaintext lst = [] end = len(plaintext) // 2 for i in range(end): ...
def total_cost(J_content, J_style, alpha = 10, beta = 40): """ Computes the total cost function Arguments: J_content -- content cost coded above J_style -- style cost coded above alpha -- hyperparameter weighting the importance of the content cost beta -- hyperparameter weighting th...
def flatten(iter_of_iters): """ Flatten an iterator of iterators into a single, long iterator, exhausting each subiterator in turn. >>> flatten([[1, 2], [3, 4]]) [1, 2, 3, 4] """ retval = [] for val in iter_of_iters: retval.extend(val) return retval
def getFeatures(geoJson): """ Return a list of all features dict params: geoJson -> quick-search dict response """ return geoJson["features"]
def argmin(pairs): """ Given an iterable of pairs (key, value), return the key corresponding to the smallest value. Raises `ValueError` on empty sequence. >>> argmin(zip(range(20), range(20, 0, -1))) 19 """ return min(pairs, key=lambda x: x[1])[0]
def noam_decay(step, warmup_steps, model_size): """Learning rate schedule described in https://arxiv.org/pdf/1706.03762.pdf. """ return ( model_size ** (-0.5) * min(step ** (-0.5), step * warmup_steps**(-1.5)))
def _search_entity_by_annotation(entity, key, value): """Helper function to that recursivly looks at subentities Returns a serialized entity that matches the annoation key & value given or None""" if 'annotations' in entity: if key in entity['annotations']: my_value = entity['annotations...
def clean_doi(doi): """ Cleans doi to match expected string format. Removes leading 'https://' and 'doi.org/' from the string Parameters ---------- doi : str A string containing a DOI Returns ------- DOI string with extraneous characters removed """ if doi.star...
def get_scale_factors(bbox1:tuple, bbox2:tuple): """Get x and y scaling factors between 2 bounding boxes. Args: bbox1 (tuple): xmin1, ymin1, xmax1, ymax1 bbox2 (tuple): xmin2, ymin2, xmax2, ymax2 Returns: tuple: (x,y) scale factor. """ xmin1, ymin1, xmax1, ymax1 = bbox1 ...
def conv2d_output_shape(height, width, filter_height, filter_width, out_channels, stride): """Calculates the output shape of Conv2d Args: height (int): Height of the input. width (int): Width of the input. filter_height (int): Height of the filter. filter_width (int): Width ...
def ceilpow2(n): """ # from pyCBC this one works... mine didnt work. convenience function to determine a power-of-2 upper frequency limit""" from math import frexp signif,exponent = frexp(n) if (signif < 0): return 1 if (signif == 0.5): exponent -= 1 return (1) << exponen...
def transform_list_to_dict(thelist, thedefaults, key_to_index_map): """ Transform thelist into a dict with keys according to key_map and defaults from thedefaults. """ return { key: thelist[key_to_index_map[key]] if key_to_index_map[key] is not None else thedefaults[key] for ...
def distro_short(distro_fname): """Map Long Linux Distribution Name to short name.""" if "Red Hat Enterprise Linux Server" == distro_fname: return "rhel" elif "CentOS" == distro_fname: return "centos" elif "SUSE Linux Enterprise Server" == distro_fname: return "suse"
def _is_mmf_footer(line): """Returns whether a line is a valid MMF footer.""" return line == '-----' or line == 'MMMMM'
def first_cap(string: str): """ """ return string[0].upper() + string[1:]
def _adjust_error(error: str) -> str: """Strips the message name from errors to make them more readable.""" fields = error.split(':') location = '.'.join(fields[0].strip().split('.')[1:]) message = ':'.join(fields[1:]) if location: return f'{location}: {message.strip()}' return message.s...
def collate_fun(batch): """Generate a batch in list format""" token_ids = [item[0] for item in batch] attention_mask = [item[1] for item in batch] token_type_ids = [item[2] for item in batch] label_ids = [item[3] for item in batch] split_ids = [item[4] for item in batch] return [token_ids,...
def R_from_r(r): """ Calculate reflected power R, starting with reflection amplitude r. """ return abs(r)**2
def string_to_points(s): """ Convert a PAGE-XML valid string to a list of (x,y) values. Valid means e.g. "0,0 1,2 3,4" for the points (0, 0), (1, 2) and (3,4). :param s: The points given as a string in the format as defined in PAGE-XML. :type s: str :return: List of points as (x,y) coordinates....
def maybe_copy(obj, inplace=False, **kwargs): """Copy an object if `inplace` flag is set to `False`. Otherwise return the object unchanged.""" return obj if inplace else obj.copy(**kwargs)
def description(name): """Descriptive comment of a counter, motor or EPICS record name: string, name of EPICS process variable or name of Python variable """ from os.path import splitext desc = "" if desc == "": try: desc = eval(name).name except: pass if desc == "": ...
def get_full_cls_name(cls): """With a class, get its full module and class name.""" return ".".join([cls.__module__, cls.__name__])
def num_knots_curve_lsq(k, num_internal_knots): """ Returns the number of total knots created by curve_lsq_fixed_knots. """ return (k+1)*2+num_internal_knots
def message_optional_files_in_reports(calibration_file, cross_talk_file, head_pos_file, destination): """Create messages regarding the presence of the optional files, which will be later added in html reports of Apps. Parameters ---------- calibration_file: str or None Path to the '.dat' f...
def sha256_to_str(obj): """Convert a bytearray to its lowercase hexadecimal string representation. Args ---- obj (bytearray): bytearray representation of the string. Returns ------- (str): Lowercase hexadecimal string. """ return None if obj is None else obj.hex()
def title(text): """Returns a text fragment (tuple) that will be used as a title or heading.""" return ('title', text)
def dice_coefficient(string1, string2): """ Returns the similarity between string1 and string1 as a number between 0.0 and 1.0, based on the number of shared bigrams, e.g., "night" and "nacht" have one common bigram "ht". """ def bigrams(s): return set(s[i:i+2] for i in range(len(s)-1)) ...
def is_math_exp(str): """ Check if a string is a math exprssion """ charset = set("0123456789abcdefx+-*/%^") opers = set("+-*/%^") exp = set(str.lower()) return (exp & opers != set()) and (exp - charset == set())
def gassmann(K0, Kin, Kfin, Kfout, phi): """ Use Gassmann's equation to perform fluid substitution. Use the bulk modulus of a rock saturated with one fluid (or dry frame, Kfin=0) to preduct the bulk modulus of a rock second with a second fluid. :param K0: Frame mineral modulus (Gpa) :param Kin:...
def is_pred(pred): """ Checks if tuple represents predicate. Args: pred: column and associated value Returns: true iff predicate represents condition """ return not pred[0].startswith("'")
def get_item(dictionary, key): """Get a diction item value by a dict key.""" return dictionary.get(key)
def get_subtask(cmd_action, file_dep=None): """Return a dictionary defining a substack for string 'cmd_action'.""" if cmd_action.startswith("poetry run "): name = cmd_action.split(" ")[2] else: name = cmd_action.split(" ")[0] task = {"name": name, "actions": [cmd_action], "task_dep": ["i...
def drop_systematics(blocks, systematics): """Drop a systematic from a set of blocks. Parameters ---------- blocks : list(str) All TRExFitter blocks. systematics : list(str) Name of the systematic to drop. Returns ------- list(str) Blocks without desired systema...
def is_square(mtx): """ Check is matrix square """ for line in mtx: if len(line) != len(mtx): return False return True
def int2coord(index, size=3): """ Converts a scalar value back to coordinate pairs :param index: :param size: the width/height of a perfect square :return: """ x = index // size y = index - x*size return dict(x=x, y=y)
def hsl(hue, saturation, lightness): """ Return the string HTML representation of the color in 'hsl(hue, lightness, saturation)' format. :param hue: float or int :param saturation: 0 <= float or int <= 100 :param lightness: 0 <= float or int <= 100 :return: str """ assert isinstanc...
def convert_char_to_num(char): """Convert one-digit alphabet character to number. :param char: :return: """ base = 26 # 26 letters from A to Z digit = 0 pos = 0 for c in reversed(char): val = ord(c) - ord('A') + 1 pos += pow(base, digit) * val digit += 1 ret...
def parse_id(text): """ Parse and return the <job>:<id> string. Args: text String to parse Returns: This node's job name, this node's id """ sep = text.rfind(":") if sep < -1: raise ValueError("Invalid ID format") nid = int(text[sep + 1:]) if nid < 0: raise ValueError("Expected non-negat...
def convert_im_type(im_type: str): """Converts the IM type to the standard format, will be redundant in the future""" if im_type.startswith("SA"): return "p" + im_type.replace("p", ".") return im_type
def flag_vqsr(vqsr_filter, var_type): """For cap and wxs, is vqsr passed?""" if var_type == 'SNV': return str('None' == vqsr_filter) else: return str(vqsr_filter in ('VQSRTrancheINDEL99.90to100.00', 'None'))
def PNT2Tidal_Pv12(XA): """ TaylorT2 1PN Quadrupolar Tidal Coefficient, v^12 Phasing Term. XA = mass fraction of object """ XATo2nd = XA*XA XATo3rd = XATo2nd*XA return (15895)/(56)-(4595*XA)/(56) - (5715*XATo2nd)/(28)+(325*XATo3rd)/(14)
def get_forecaster_index(pressure_coeff, ptrend_coeff, wind_dir_coeff): """ Forecast next n hours based on pressure, trend and wind quadrant :param int pressure_coeff: :param int ptrend_coeff: :param int wind_dir_coeff: :return: str Forecast ID on my Powerpoint """ forecast_index = ((pr...
def format_cpnet_query(text: str) -> str: """ @param text: entity to look up @return: remove whitespace, format """ return text.replace(' ', '_')
def _nearest_bigger_power_of_two(x: int) -> int: """Computes the nearest power of two greater than x for padding.""" y = 2 while y < x: y *= 2 return y
def type_or_none(typerefs, value): """ Provides a helper function to check that a value is of the types passed or None. """ return isinstance(value, typerefs) or value is None
def merge(lst): """ concatenate the lists back in order for the next step """ new_list = [] for sublist in lst: new_list.extend(sublist) return new_list
def solve_system(matrix): """Solves system of linear equations for upper triangular matrix.""" coefficients = [] matrix.reverse() # for easy access coefficients.append(matrix[0][-1] / matrix[0][-2]) # first is solved for i in range(1, len(matrix)): # sub all already known coefficients... ...
def clamp(val, min_value, max_value): """clamps a value between min and max""" n = (val - min_value) / (max_value - min_value) return n
def get_offset(x:int): """Returns an int, otherwise defaults to zero.""" return int(x) if x else 0
def get_instance_id_to_name_map(instance_info): """generate instance_id to instance_name map. If an instance has no name it will have value 'unknown'.""" instance_id_to_name = {} for instance_id in instance_info: instance = instance_info[instance_id] instance_name = "unnamed" if ...
def check_min_sample_periods_dict(count_dict, min_sample_periods): """ Check if all periods listed in the dictionary contain at least min_sample_periods examples. """ for key in count_dict.keys(): if count_dict[key] < min_sample_periods: return False return True
def jaccard_similarity(list1, list2) -> float: """ For comparing how much overlap there is between two sets. Returns a normalised 0-1 similarity score, where higher = more similar. USAGE: a = ['hello', 'foo', 'foo', 'tux'] b = ['blah', 'hello', 'foo'] jaccard_similarity(a, b) ...
def map_char_to_num(char): """ Map an uppercase alphabet letter to an integer, e.g. A -> 1 """ return ord(char) - 64
def reformat_large_tick_values(tick_val, pos): """ Turns large tick values (in the billions, millions and thousands) such as 4500 into 4.5K and also appropriately turns 4000 into 4K (no zero after the decimal). """ if tick_val >= 1000000000: val = round(tick_val/1000000000, 1) new_tick_f...
def _check_histories(history1, history2): """Check if two histories are the same.""" if (history1.replace('\n', '').replace(' ', '') == history2.replace('\n', '').replace(' ', '')): return True else: return False
def relative_url(url_a: str, url_b: str) -> str: """ Compute the relative path from URL A to URL B. Arguments: url_a: URL A. url_b: URL B. Returns: The relative URL to go from A to B. """ directory_url = False if url_a[-1] == "/": url_a = url_a.rstrip("/") ...
def delete_middle_node(node): """ Implement an algorithm to delete a node in the middle (i.e., any node but the first and last node not necessarily the exact middle) of a singly linked list, given only access to that node. """ if not node: return None next_node = node.get_next_node()...
def d_phi_dxy(x, y): """ second derivative of the orientation angle in dxdy :param x: :param y: :return: """ return (-x**2 + y**2) / (x ** 2 + y ** 2) ** 2
def get_default_nncf_compression_config(h, w): """ This function returns the default NNCF config for this repository. The config makes NNCF int8 quantization. """ nncf_config_data = { 'input_info': { 'sample_size': [1, 3, h, w] }, 'compression': [ { ...
def traceit(frame, event, arg): """Print a trace line for each Python line executed or call. This function is intended to be the callback of sys.settrace. """ import linecache # if event != "line": # return traceit try: lineno = frame.f_lineno filename = frame.f_globals["...
def clamp(val, lo=-1, hi=1): """Shorthand for `max(lo, min(val, hi))`. """ return max(lo, min(val, hi))
def filter(s): """ Filters a plain text and makes it acceptable for docbook """ if s == None: return "" s = s.replace(">", "&gt;") s = s.replace("<", "&lt;") return s
def chunks2str(chunks): """Takes a list of chunks: (i,j) pairs, and makes a string""" s = '' lastj = 0 for i, j in chunks: if i > lastj: s += ' ' s += '-'*(j-i) s += '|' lastj = j return s
def normalize_path(path): """ Return a normalized path from a `path` string. """ return "/" + path.strip("/")
def QuadraticLimbDarkening(Impact, limb1, limb2): """Quadratic limb darkening. Kopal 1950, Harvard Col. Obs. Circ., 454, 1""" return 1 - limb1 * (1 - Impact) - limb2 * (1 - Impact) ** 2
def hex_list(items): """ Return a string of a python-like list string, with hex numbers. [0, 5420, 1942512] --> '[0x0, 0x152C, 0x1DA30]' """ return '[{}]'.format(', '.join('0x%X' % x for x in items))
def bell_number(n): """ Returns the n'th bell number Parameters ---------- n : int denotes the number for which bell number needs to be calculated """ if(n<0): raise NotImplementedError( "Invalid Input" ) bell = [[0 for i in range(n+1)] for j in ...
def ntw(n): """Numbers to Words (ntw) ------------------------- Convert integers less than 100 from numeric type to spelled-out words, as strings. Examples -------- >>> ntw(44) >>> "XLIV" Parameters ---------- n : int 1 <= int(x) <= 99 Returns -...
def has_divider_smaller_than(n, i): """ Get True if n has a divided smaller than i :param n: number :param i: number :return: boolean """ print(n, i) if i <= 1: return False else: if n % i == 0: return True else: return has_divider_smal...
def _cal_cutoff_position(length, thickness, keyIdx): """Returns cutoff indices of keyIdx-centred truncated list Args: length: `int`, length of a list thickness: `int`, cutoff thickness - number of slices keyIdx: `int`, index of the key slice Returns: a tuple of two `int` """ left_block = (th...