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def sort_resources(resources): """Sort resources for inclusion on web page. A number of rules are followed: * resources are always grouped per renderer (.js, .css, etc) * resources that depend on other resources are sorted later * resources are grouped by library, if the dependencies allow it ...
def carreau_model(shear_rate, mu_0, mu_inf, lambda_, n): """ Estimates the Carreau model for viscosity. Used for fitting data using scipy. Parameters ---------- shear_rate : array-like The experimental shear rate data, with units of 1/s. mu_0 : float The estimated viscosity...
def tts_ip_address(ip_address): """Convert an IP address to something the TTS will pronounce correctly. Args: ip_address (str): The IP address, e.g. '102.168.0.102' Returns: str: A pronounceable IP address, e.g. '192 dot 168 dot 0 dot 102' """ return ip_address.replace('.', ' dot '...
def cut_tag_preserve(tags, tag): """ Cuts a tag from a list of tags without altering the original. """ tag_list = tags[:] tag_list.remove(tag) return ",".join(tag_list)
def _split_data(data): """Split the keys of the data between 'properties' and 'data' data: list (or None) Result of a SQL query Returns ------- dict """ if data is None: return data data = data[0] properties = ["iris", "city", "citycode", "label"] result = {k: d...
def hideCode(notebook): """ Finds the tags '#!--' and '#--! in each cell and removes the lines in between. Returns dict """ for i, cell in enumerate(notebook['cells']): istart = 0 istop = -1 for idx, line in enumerate(cell['source']): if '#!--' in line: ...
def add_saturate(a, b, upper_bound, lower_bound): """ Returns the saturated result of an addition of two values a and b Parameters ---------- a : Integer First summand b : Integer Second summand upper_bound : Integer Upper bound fo...
def _extract_items(json_dict: dict): """Return the items key if it exists, otherwise the top level.""" return json_dict.get("items", json_dict)
def iterative(n): """Returns the n-th number of fib""" a, b = 0, 1 if n == 0: return a else: for _ in range(n): a, b = b, a + b return a
def jaccard_similarity(str_a, str_b): """ Calculate jaccard similarity Returns: jaccard score """ set1 = set(str_a.decode('utf8')) set2 = set(str_b.decode('utf8')) if len(set1) == 0 or len(set2) == 0: return 0 return len(set1 & set2) / float(len(set1 | set2))
def sum_of_odd_integers(start, end): """ Counts the sum of all odd integers from start through end, inclusively. Args: start (int): starting number in range. end (int): ending number in range. Returns: int: the sum of all odd integers from start through end, inclusively. ""...
def backwards(inputString): """ Paramters --------- inputString : string Returns ------- string String with each space-separated word in inputString reversed """ wordList = inputString.split(" ") #list of space-separated words in inputString backwardsList = [] #list ...
def _text_file_to_string(reader, content_if_empty): """Load text file and convert it to string for display.""" if reader: return reader.read().decode('utf-8') else: return content_if_empty
def add_txt(string): """Ensures a filename ends in '.txt'.""" if not string.endswith(".txt"): string += ".txt" return string
def not_the_same(user, other_user): """two users are not the same if they have different ids""" return user["id"] != other_user["id"]
def make_model_tuple(model): """ Take a model or a string of the form "app_label.ModelName" and return a corresponding ("app_label", "modelname") tuple. If a tuple is passed in, assume it's a valid model tuple already and return it unchanged. """ try: if isinstance(model, tuple): ...
def add_to_history(ll, lv): """Appends values from a list of values to a list from a list of lists. Parameters ---------- ll : list List of lists to which values will be appended. lv : list List of values to append to lists. Returns ------- list List of lists t...
def check_insertion(nwork, info, citation_var, citation_file, should_add, ref=""): """Check info validity after executing snowballing.create_info_code Return dictionary of warning fields Default: returns place1 if place is not defined and always returns the pdf name """ result = {} result["pdf...
def add_values_dict( d:dict ) ->float: """ Returns a float. Add all the values inside a dict. """ total:float = 0.0 for k in d: total += d[k] return total
def convertCIDRtoNetmask(cidr): """ :param cidr: :return: Netmask length CIDR Notation. It's only "how many 1 there are" """ print("[ip - convertNetmaskToCIDR] Receive - ", cidr, "|") bits = 0 for i in range(32-int(cidr), 32): bits |= (1 << i) return "%d.%d.%d.%d" % ((bits & ...
def _iou(box1, box2, precision=1e-5): """ Calculate the Intersection over Union value for 2 bounding boxes :param box1: array of 4 values (top left and bottom right coords): [x0, y0, x1, x2] :param box2: same as box1 :param precision: calculate precision for calculating :return: IoU """...
def adjustSize(imageSize, targetSize): """-> the size (x,y) the image must be scaled to in order to fit into the target size, while keeping the aspect ratio. """ sx, sy = imageSize tx, ty = targetSize x = tx y = sy * tx / sx if y > ty: y = ty x = sx * ty / sy return x...
def miles_per_gallon(start_miles, end_miles, gallons): """Compute and return the average number of miles that a vehicle traveled per gallon of fuel. start_miles and end_miles are odometer readings in miles. gallons is a fuel amount in U.S. gallons. """ mpg = abs(end_miles - start_miles) / gallon...
def bitmap_is_set(bitmap: bytes, i: int) -> bool: """Returns True if bitmap is set at the i'th bit.""" assert (i >> 3) < len(bitmap), f"{i} out of range ({len(bitmap)})" return bool(bitmap[i >> 3] & (0x80 >> (i & 7)))
def _function7(value): """function7(value)""" if value in [0, 2]: out = 0 elif value in [1, 3]: out = 1 else: raise RuntimeError(value) return out
def solution2(n): """ This function returns only the largest prime factor. """ i = 2 while i * i <= n: if n % i: i += 1 else: n //= i return n
def remove_duplicates(list_with_duplicates): """ Removes the duplicates and keeps the ordering of the original list. For duplicates, the first occurrence is kept and the later occurrences are ignored. Args: list_with_duplicates: list that possibly contains duplicates Returns: A list ...
def unify_lookup(lookup, results): """ Create a unified serializable list from lookup and results. """ unified_list = [] for key in results.keys(): if key not in ('score', 'max_score'): created_testbench = {'title': lookup[key][0], 'rule-id': key, ...
def ShellEscape(s): """Escape a string to be passed to the shell. Args: s: String to escape. Returns: Escaped string. """ return "'" + s.replace("'", "'\\''") + "'"
def get_cos_instances(resource_instances): """return available cos instances by name and id""" storage_instances = [] for resource in resource_instances: if 'cloud-object-storage' in resource['id']: storage_instances.append({"name": resource['name'], "id": resource['id']}) return st...
def valid_name(file_name): """determines that that the passed file_name is valid, mainly making sure that it contains no periods to prevent extension issues """ if '.' in file_name: raise NameError("Name must not contain periods") else: return True
def finds(itemlist, vec): """return the index of the first occurence of item in vec""" idlist = [] for x in itemlist: ix = -1 for i in range(len(vec)): if x == vec[i]: idlist.append(i) ix = i if ix == -1: idlist.append(-1) i...
def build_transcript(transcript, build='37'): """Build a transcript object These represents the transcripts that are parsed from the VCF, not the transcript definitions that are collected from ensembl. Args: transcript(dict): Parsed transcript information Returns: ...
def get_first_aligned_bp_index(alignment_seq): """ Given an alignment string, return the index of the first aligned, i.e. non-gap position (0-indexed!). Args: alignment_seq (string): String of aligned sequence, consisting of gaps ('-') and non-gap characters, such as "HA-LO" or "---...
def _config_info(mode, config): """Generate info about the config.""" return { "mode": mode, "resources": len(config.get("resources", [])), "views": len(config.get("views", [])), }
def camel_case(text): """Camel-cases text. Parameters ---------- text : str Text to be camel-cased. Returns ------- str A camel-cased string. """ return ''.join(text.title().split())
def stringify_sdg_number(sdg): """Converts integer to string and zero pads to 2 digits. Used for saving and loading individual goal data. Args: sdg (int): Typically 1 - 17 Returns: (str): e.g. '06' """ return str(sdg).zfill(2)
def sizeof_fmt(num, suffix='B'): """Get bit number and return formatted size string""" for unit in ['', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi']: if abs(num) < 1024.0: return "%3.1f%s%s" % (num, unit, suffix) num /= 1024.0 return "%.1f%s%s" % (num, 'Yi', suffix)
def process_param(args):#{{{ """ Parse command-line parameters Some of them control the simulation, but all remaining will be passed to the model """ sim_param = { 'frequency_domain':False, 'frequency': None, 'MaxIter': 5000, '...
def get_dict_attrib(in_dict, key, default=None): """Attempt to retrieve attribute from dictionary""" try: return in_dict[key] except KeyError: return default
def bool_to_bytes(val): """ Encode boolean to a 1 byte array :param val: boolean value :return: a bytes object """ if bool(val): return b'\x01' else: return b'\x00'
def __build_where_clause(where_columns_dictionary): """ Builds the where portion of the SQL query to account for None values : :param where_columns_dictionary: the column name as a key and the value the column you are searching for in a dictionary format (to select the specific row to update) (i.e....
def minPathSum(grid): """ https://leetcode-cn.com/problems/minimum-path-sum/ :return: """ n = len(grid) m = len(grid[0]) for i in range(n): for j in range(m): if i == 0 and j == 0: continue tp = 1e9 if i > 0: tp = mi...
def quality_to_factor(quality): """ Calculate factor corresponding to quality Args: quality(float): Quality for jpeg compression. Returns: float: Compression factor. """ if quality < 50: quality = 5000. / quality else: quality = 200. - quality * 2 return qua...
def kwargs_to_tuple(d): """Convert expectation configuration kwargs to a canonical tuple.""" if isinstance(d, list): return tuple(kwargs_to_tuple(v) for v in sorted(d)) elif isinstance(d, dict): return tuple( (k, kwargs_to_tuple(v)) for k, v in sorted(d.items()) ...
def get_xy_coord(n): """compute the xy coordinate given an index""" if n < 1: raise ValueError elif n == 1: return 0, 0 elif n == 2: return 1, 0 else: x, y = get_xy_coord(n-1) if abs(x) > abs(y): # spiral is going up the right side or down the left...
def pruned_model_filename(sparsity, block_size): """Produces a human-readable name including sparsity parameters.""" return 'pruned_model_sparsity_%.2f_block_%s.tflite' % ( sparsity, '%dx%d' % block_size)
def convert_facet_list_to_dict(facet_list: list, reverse: bool = False) -> dict: """ Solr returns search facet results in the form of an alternating list. Convert the list into a dictionary key on the facet :param facet_list: facet list returned by Solr :param reverse: boolean flag indicating if the...
def _get_dn_from_ldap_payload(payload): """ Returns the distinguished_name from the payload retrieved from rethinkDb """ return payload["distinguishedName"]
def s3_fmt_range(range): """ None -> None (in, out) -> "bytes={in}-{out-1}" """ if range is None: return None _in, _out = range return 'bytes={:d}-{:d}'.format(_in, _out-1)
def find_in_list_by_value(search_value, search_list, first_occurrence_only=True): """Find item(s) that match(es) the search value from the search list.""" valid = isinstance(search_list, list) if not valid: raise ValueError("Invalid argument was passed.") if not search...
def constraint_class(kind): """ The convention is that name of the class implementing the constraint has a simple relationship to the constraint kind, namely that a constraint whose kind is 'this_kind' is implemented by a class called ThisKindConstraint. So: ``min`` --> ``MinConst...
def scale_to_internal(vec, scaling_factor, scaling_offset): """Scale a parameter vector from external scale to internal one. Args: vec (np.ndarray): Internal parameter vector with external scale. scaling_factor (np.ndarray or None): If None, no scaling factor is used. scaling_offset (np...
def cr_validation(value): """ :param value: charge rate value given by the system :return: Boolean """ max_value = 0.8 return True if (value < max_value) else False
def blendcolors(rgb1, rgb2, prop): """ Blends two rgb colors so that prop comes from rgb2 and (1-prop) from rgb1, where prop should be a proportion in the interval 0.0 - 1.0. """ return tuple(map(lambda c1, c2: int(round(c1 + (c2 - c1) * prop)), rgb1, rgb2))
def IsKillStep(chessboard: list, mv: list) -> bool: """ chessboard: current chessboard info [[x, y, class], [], []...] mv: AI move info, [x_src, y_src, x_dst, y_dst] return: BOOL: true if this step is kill step, false if normal step. """ for pc in chessboard: if mv[2] == pc[0] a...
def is_librarys_flow_cell_owner(user, library): """Whether or not is owner of the given flow cell's library'""" if not library or not library.flow_cell: return False else: return library.flow_cell.owner == user
def look_and_say(numbers): """ Performs a look'n'say iteration. Repeated digits are collapsed into one and preceeded by their amount. Add 1 before each single digit. '111' -> '31' :param numbers: string of digits :return: look'n'say op over digits """ digit = "" result = "" count = 0...
def create_graph(network): """Create a graph of train lines Args: network(list): A list of dictionaries of lines and stations in the line Returns: graph(dictionary): A graph of train stations """ graph = {} line = 0 i = 0 while line < len(network): while i <len...
def _parse(filename): """Parse reference data filename to extract land cover and year.""" basename = filename.split('.')[0] land_cover, year = basename.split('_') year = int(year) return land_cover, year
def ptoc(width, height, x, y, zxoff, zyoff, zoom): """ Converts actual pixel coordinates to complex space coordinates (zxoff, zyoff are always the complex offsets). """ zx_coord = zxoff + ((width / height) * (x - width / 2) / (zoom * width / 2)) zy_coord = zyoff + (-1 * (y - height / 2) / (zoom...
def get_old_asg_instances(asg_object): """Gets instances from ASG that are not using the correct launch configuration""" all_instances = [] instances = asg_object['AutoScalingGroups'][0]['Instances'] for instance in instances: if 'LaunchConfigurationName' not in instance: all_instanc...
def cut_trailing_quotes(text: str) -> str: """Cut trailing quotes into one quote. Args: text: Input text. Returns: Text up to the dangling double quote. """ num_quotes = text.count('"') if num_quotes == 1: return text.replace('"', "") elif num_quotes % 2 == 0: ...
def combinations_construct(tree_config_path, path=["root"]): """ >>> combinations_construct({"root": ["target", "target teams"], ... "target": ["teams"], ... "target teams": [], "teams": []}) [['target'], ['target', 'teams'], ['target teams']] ""...
def multi_split(s, split): """Splits on multiple given separators.""" for r in split: s = s.replace(r, '|') return [i for i in s.split('|') if len(i) > 0]
def get_gitlab_scripts(data): """GitLab is nice, as far as I can tell its files have a flat hierarchy with many small job entities""" def flatten_nested_string_lists(data): """helper function""" if isinstance(data, str): return data elif isinstance(data, list): ...
def _mark_untranslated_strings(translation_dict): """Marks all untranslated keys as untranslated by surrounding them with lte and gte symbols. This function modifies the translation dictionary passed into it in-place and then returns it. """ # This was a requirement when burton was written, but...
def expand_qgrams(text, qsize, output): """Expands a text into a set of q-grams""" n = len(text) for start in range(n - qsize + 1): output.append(text[start:start+qsize]) return output
def erlangb(load, c): """ Return the the probability of loss in M/G/c/c system using recursive approach. Much faster than direct computation via scipy.stats.poisson.pmf(c, load) / scipy.stats.poisson.cdf(c, load) Parameters ---------- load : float average arrival rate * average ser...
def _add_first_child_to_dic(base, dic, opt, tag): """Adds the first child element with a given tag to a dictionary. Args: base: The base node element. (lxml node) dic: The dictionary to add the element to (dictionary) opt: If false and id is not found in base, the element is added with ...
def _add_path(root_path, relative_path): """Add another level to an LDAP path. eg, _add_path ('LDAP://DC=gb,DC=vo,DC=local', "cn=Users") => "LDAP://cn=users,DC=gb,DC=vo,DC=local" """ protocol = "LDAP://" if relative_path.startswith(protocol): return relative_path if root_...
def get_byte_size(row, delimiter, line_terminator): """Get the byte size of this row split by this delimiter.""" line = delimiter.join(row) + line_terminator return len(line.encode("utf-8"))
def descendants_query(node_id, node_label, edge_label="edge"): """Generate Cypher query finding descendant nodes starting at 'node_id'.""" return ( "MATCH path=(n:{} {{id: '{}'}})-[:{}*1..]->(m:{})\n".format( node_label, node_id, edge_label, node_label) + "RETURN m.id AS descendant, ...
def contains(seq, value): """ Description ---------- Checks to see if a value is in the sequence or dictionary. Parameters ---------- seq : (list or tuple or set or dict or string) - sequence/dictionary to search in\n value : any - value to search for Returns ---------- boo...
def take_ingredients(request): """ We use this function to get ingredients from our request when creating / editing recipes. """ ingredients = {} for key in request: if key.startswith('nameIngredient_'): num = key[15:] if num.isdecimal(): ingredien...
def state_probabilities(endclasses): """ Tabulates the probabilities of different states in endclasses. Parameters ---------- endclasses : dict Dictionary of end-state classifications 'classification' and 'prob' attributes Returns ------- probabilities : dict Dictionary...
def break_down_filename(image): """ filename: g04i2c08.png || |||| test feature (in this case gamma) ------+| |||| parameter of test (here gamma-value) ----+ |||| interlaced or non-interlaced --------------+||| color-type ...
def message_from_lax(data): """ format a message from a Lax response data """ return data.get("message") if data.get("message") else "(empty message)"
def _validate_bool(s): """ A validation method to convert input s to boolean or raise error if it is not convertable """ try: return bool(s) except ValueError: raise ValueError('Could not convert input to boolean')
def extract_text(element): """ Return *text* attribute of an implied element if available. """ if element is not None: return element.text else: return None
def get_event_ends(T_part, n_repeats): """get the end points for a event sequence, with lenth T, and k repeats - event ends need to be removed for prediction accuracy calculation, since there is nothing to predict there - event boundaries are defined by these values Parameters ---------- T_...
def wavelength(fringe_spacing, slits_distance, screen_distance): """ This function provides the wavelength of light when the following parameters are provided. =========================================== Parameters: fringe_spacing : Fringe spacing slits_distance : Distance between two sli...
def is_indexed(value): """ Checks if `value` is integer indexed, i.e., ``list``, ``str`` or ``tuple``. Args: value (mixed): Value to check. Returns: bool: Whether `value` is integer indexed. Example: >>> is_indexed('') True >>> is_indexed([]) True ...
def Probability(o): """Computes the probability corresponding to given odds. Example: o=2 means 2:1 odds in favor, or 2/3 probability o: float odds, strictly positive Returns: float probability """ return o / (o + 1)
def ParseIssueNames(names): """Because comics use the same upc for the whole series now parse out the series name from the returned list Noteable items that come after the series name: "issue #" and "#" There is probably a better way to do this but it seems to work in most cases. name...
def is_full_section(section): """Is this section affected by "config.py full" and friends?""" return section.endswith('support') or section.endswith('modules')
def applianceLogsFileName(config): """ Returns the filename of the log zip file created by calling syscfg.zipApplianceLogs() """ return config['converter.appliance_logs_name']
def _ascii_decode(ascii: bytes) -> str: """Decode bytes of ASCII charactors to string. Args: ascii (bytes): ASCII charactors Returns: str: Converted string """ return ascii.decode("ascii", "replace").replace("\x00", "")
def _compute_char_shifts(tokens): """Compute the shifts in characters that occur when comparing the tokens string with the string consisting of all tokens separated with a space For instance, if "hello?world" is tokenized in ["hello", "?", "world"], then the character shifts between "hello?world" a...
def get_cycle_stats(data_list): """ Calculates cycle statistics for test run. Returns min, max, avg cycle count. """ cycles = [data[0] for data in data_list] min_cycles = min(cycles) max_cycles = max(cycles) avg_cycles = sum(cycles) / len(cycles) return min_cycles, max_cycles, avg_cy...
def flatten(iterable): """Recursively denest iterable containers. >>> flatten([1, 2, 3]) [1, 2, 3] >>> flatten([1, 2, [3]]) [1, 2, 3] >>> flatten([1, [2, 3], [4, 5]]) [1, 2, 3, 4, 5] """ result = [] for item in iterable: if isinstance(item, list): ...
def write_node(doc, parent, name, value, attr=None): """ :param doc: document DOM :param parent: parent node :param name: tag of the element :param value: value of the child text node :param attr: attribute dictionary :return: True if something was appended, otherwise False """ if a...
def max_length(choices): """ Returns the size of the longest choice. :param: the available choice strings or tuples :return: the maximum length """ def length(item): if isinstance(item, str): value = item else: value = item[0] return len(value...
def get_io_from_prov_json(prov_json): """Identify input and output files from provenance JSON Parameters ---------- prov_json : OrderedDict ordered dictionary generated from json prov file using python's json module i.e. json.load(path_to_json_file, object_pairs_hook=Orde...
def find_missing_int_using_sum(complete, incomplete): """ Problem: There are distinct integers in list `complete`. The same integers are in list `incomplete`, except for one. Task: Find the one integer which is missing from the incomplete list. Complexity: O(n) time, O(1) space """ s = 0 ...
def min_index(items): """Returns index of the smallest item. items can be any sequence. If there is a tie, returns earliest item""" return min([(item, index) for index, item in enumerate(items)])[1]
def parse_http_protocol(s): """ Parse an HTTP protocol declaration. Returns a (major, minor) tuple, or None. """ if not s.startswith(b"HTTP/"): return None _, version = s.split(b'/', 1) if b"." not in version: return None major, minor = version.split(b'.', 1) ...
def format_desc(desc="", available_values=[]): """ """ output_str = "" output_str += desc if len(available_values) == 0: return output_str output_str += "\nExplain the meaning of the parameter:" for a_value in available_values: meaning, value = a_value output_str...
def extract_action_list_from_path(path_list): """ Converts a block idx path to action list. Args path_list: <list> list of block idx from source block to dest block. Returns action_list: <list> list of string discrete action commands (e.g. ['movesouth 1', 'movewest 1', ...] ...
def author(context, request): """ Handles author's profile """ return {'author': context}