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def _get_yearly_logical_year(year, month, day): # type: (int, int, int) -> int """Retrieves the logical year for a yearly frequency.""" return year
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def GetAttemptString(attempts): """ Creates the string used to display the current attempt. """ match attempts: case 1: return "1st" case 2: return "2nd" case 3: return "3rd" case _: return "{}th".format(attempts)
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def _describe_obj(obj): """ Prints the name of the object, and any qualifiers. - if an item with count > 1, appends the count """ if obj.item and obj.item.count > 1: return obj.name + ' (x' + str(obj.item.count) + ')' else: return obj.name
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import functools def dirichlet(boundary_values_fn): """Wrapper for Dirichlet boundary conditions to be used in PDE solvers. Example: the boundary value is 1 on both boundaries. ```python def lower_boundary_fn(t, location_grid): return 1 def upper_boundary_fn(t, location_grid): return 0 solver ...
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def create_tags(ec2_client, ec2_instance_id, event_detail): """ Given an EC2 Instance ID, and event['detail'] from an ECS Container Instance State Change, updates EC2 Instance tags with clusterArn & containerInstanceArn Returns the SDK response to the create_tags call. """ cluster_arn = ev...
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def human_readable(bytes): """ Return a human-readable representation of the provided number of bytes. """ for n, label in enumerate(['bytes', 'KiB', 'MiB', 'GiB', 'TiB']): value = bytes / (1024 ** n) if value < 1024: return f'{round(value, 2)} {label}' else: ...
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import re def is_base64(text: str) -> bool: """Guess whether text is base64-encoded.""" return bool( re.match( r"^([A-Za-z0-9+/]{4})*([A-Za-z0-9+/]{3}=|[A-Za-z0-9+/]{2}==)?$", text.replace("\n", ""), ) )
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import torch def top_k_logits(logits, k, probs=False): """ Masks everything but the k top entries as -infinity (1e10). Used to mask logits such that e^-infinity -> 0 won't contribute to the sum of the denominator. """ if k == 0: return logits else: values = torch.topk(logit...
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def getCommands(args): """Split (if needed) and obtain the list of commands that were sent into Skelebot""" commands = [] command = [] for arg in args: if arg == "+": commands.append(command) command = [] else: command.append(arg) commands.append(...
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def build_srcdict(gta, prop): """ Build a dictionary that maps src to a property """ o = {} for s in gta.roi.sources: o[s.name] = s[prop] return o
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def getValues(currentValues, current, total): """ Return either the current values (for this horizon) or all computed results Parameters ---------- currentValues : Boolean True: return 'current', False: return 'total' current : Pointer Pointer to the current values total : ...
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def _GetInsertTime(operation): """Finds the insertTime property and return its string form. Args: operation: A messages.Operation instance. Returns: The time the operation started in string form. """ properties = operation.metadata.additionalProperties for prop in properties: if prop.key == 'i...
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def processFrame(frame): """Simulate a left and right sensor output (from 0 to 1) given the input image.""" # The pixels are grey-scale values from 0-255 - white = 255, black = 0 # We want to turn the image into two values, one for the left "sensor" and one for the right. # There are many possible ways ...
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from datetime import datetime def unixts_to_dt_obj(unixts): """ Convert unix timestamp to naive datetime object in UTC time zone. :param float/int/str unixts: unix timestamp :returns: datetime object in UTC timezone """ if isinstance(unixts, str): try: unixts = int(unixts)...
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from bs4 import BeautifulSoup import re def parse_lxml_form(text): """ Parse lxml form into a dictionary of name:value based on the 'input' tags in text""" soup = BeautifulSoup(text, features="lxml") form = {} for inputtag in soup.find_all(re.compile("(INPUT|input)")): name = inputtag.get("nam...
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def orbputx(orb, srcname, time, packet, nbytes): """Put a packet on an orb, returning the pktid of the output packet""" return orb.putx(srcname, time, packet, nbytes)
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def make_slim_provenance_dict(model_type, slim_generation, stage='late', spatial_dimensionality='', spatial_periodicity='', separate_sexes=False, nucleotide_based=False): """ Returns a dictionary encoding provenance information for a SLiM tree sequence. """ document = { "schema_v...
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def MAX(src_column): """ Builtin maximum aggregator for groupby Example: Get the maximum rating of each user. >>> sf.groupby("user", ... {'rating_max':tc.aggregate.MAX('rating')}) """ return ("__builtin__max__", [src_column])
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def builder_support(builder): """Return True when builder is supported. Supported builders output in html format, but exclude `PickleHTMLBuilder` and `JSONHTMLBuilder`, which run into issues when serializing blog objects.""" if hasattr(builder, 'builder'): builder = builder.builder not_sup...
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from typing import List from typing import Dict import copy def get_object_camera_target(bullet_odicts: List[Dict], oidx: int): """Computes the position of the target for the camera to look at, for a given object index. Args: bullet_odicts: A list of object dictionaries. oidx: The object ...
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def get_content_of_sliding_window(image, abs_center, width, height, count=0): """Returns a width x height window where abs_center is the center.""" y_bottom = image.shape[0] - height*count y_top = y_bottom - height if y_top < 0: return None x_left = abs_center - round(width/2) x_right ...
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def ctop(width, height, zx_coord, zy_coord, zxoff, zyoff, zoom): """ Converts complex space coordinates to actual pixel coordinates (zxoff, zyoff are always the complex offsets). """ x_coord = (zx_coord + zxoff) * zoom * width / 2 / (width / height) y_coord = (zy_coord + zyoff) * zoom * height ...
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import re def dont_document_data(config, fullname): """Check whether the given object should be documented Parameters ---------- config: sphinx.Options The configuration fullname: str The name of the object Returns ------- bool Whether the data of `fullname` s...
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import torch def _distance_matrix(x: torch.Tensor, eps_factor=1e2) -> torch.Tensor: """Naive dense distance matrix calculation. Parameters ---------- x : torch.Tensor Dense [n, d] tensor containing the node attributes/embeddings. eps_factor : [type], optional Factor to be multipli...
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def box(text: str, lang: str = "") -> str: """Get the given text in a code block. Parameters ---------- text : str The text to be marked up. lang : `str`, optional The syntax highlighting language for the codeblock. Returns ------- str The marked up text. """ ...
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def set_true_for_empty_dict(d): """ Recursively set value of empty dicts from a dictionary. For some of entity G Suite API return {} (blank dictionary) which indicates some actions on resource. Eg. Here, new or upload indicates resource is newly created or uploaded on the server. { "new": {}, /...
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def add_three(a): """Return a + 3. """ return a + 3
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def get_line_msg(line): """Return message part of a line.""" return line.split()[2]
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def model_opt(d_loss, g_loss, learning_rate, beta1): """ Get optimization operations :param d_loss: Discriminator loss Tensor :param g_loss: Generator loss Tensor :param learning_rate: Learning Rate Placeholder :param beta1: The exponential decay rate for the 1st moment in the optimizer :ret...
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def check_interval_intersection(t1a, t1b, t2a, t2b): """ Determine if the intervals (t1a, t1b) and (t2a, t12b) intersect. """ if min(t1a, t1b) < t2a and max(t1a, t1b) > t2a: return True elif min(t1a, t1b) < t2b and max(t1a, t1b) > t2b: return True elif min(t2a, t2b) < t1b and max...
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from typing import Tuple def _parse_frame_name(fname: str) -> Tuple[int, int]: """Use the name of a frame file to infer its initial timestamp and length Expects frame names to follow a standard nomenclature where the name of the frame file ends {timestamp}-{length}.gwf Args: fname: ...
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def is_velocity_transitions(filename): """ Tests whether the given file is a velocity histogram file. :param str filename: Name of the file to check. :return: Whether the file is a velocity histogram file. :rtype: bool """ with open(filename, "rb") as file: return file.read(4) =...
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def opAll(operator, *numbers): """opAll(op, numbers) --> Based on the first arg operator, the function applies to the given set of numbers. Parameters: op: Operator: + or - or * or / numbers: Any length of numbers Returns: A floating point number """ numbers = list(numbers) res = ...
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def padlist(list_to_pad, padlen, pad_token=0): """ Pads a list with pad_token Args: list_to_pad: a list of str / int / float, each entry represents the token / token id padlen: int, max length of the expected list, list_to_pad would either be truncated or padded to this length pad_to...
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from pathlib import Path def find_extension_file() -> Path: """Find the packaged extension file.""" paths = list(Path("web-ext-artifacts/").glob("*.zip")) if len(paths) < 1: raise ValueError("Can't find extension file. Run `yarn build`.") elif len(paths) > 1: raise ValueError("Found mu...
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def cnt_ovlp_occur(string, sub): """ Count overlapping occurrence of `sub` in `string`. E.g. `cnt_ovlp_occur("CCC", "CC")` would return 2. Python's `str.count(word)` function does NOT count overlapping occurrence. E.g. "CCC".count("CC") only returns 1. :param string: :param sub: :return: "...
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def clamp(value, parameter): """ Clamp value to parameter's min and max values """ value = parameter.min if value < parameter.min else value value = parameter.max if value > parameter.max else value return value
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import inspect def is_async_def_coroutine(what): """ Returns true for any coroutine produced by an ``async def`` function. """ return inspect.iscoroutine(what)
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def readlines(var, skip_empty_lines = True): """Read the lines from a file""" ret = [] with open(var) as fvar: for line in fvar: line = line.rstrip('\n\r') if not line and skip_empty_lines: continue ret.append(line) return ret
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def polyMulti( x, y ): """ Provede vzájemné pronásobení dvou polynomů reprezentovaných jako pole. Například [1, 1] značí polynom x + 1. Parametry: ---------- x: list První polynom y: list Druhý polynom Vrací: ------ list V...
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from passlib.hash import sha256_crypt def create_elog_password_hash(password): """Create a SHA256 encrypted password for ELOGs.""" return sha256_crypt.encrypt(password, salt="", rounds=5000)[4:]
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def date_to_string(date): """ Convert datetime object to string in %Y-%m-%d format. """ return date.strftime('%Y-%m-%d')
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import torch def pack_sequence_for_linear(inputs, lengths): """ :param inputs: [B, T, D] :param lengths: [B] :return: [sum(batch lengths), D] """ batch_list = [] for i, l in enumerate(lengths.tolist()): batch_list.append(inputs[i, :l]) packed_sequence = torch.cat(batch_list...
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def separate_channels(x): """ Separates the two channel of the tensor passed as argument into two different tensors """ x1 = x[:, 0:1, :, :] x2 = x[:, 1:2, :, :] return x1, x2
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def get_unique_characters_again(string: str) -> str: """Returns string with all recurring characters removed.""" return ''.join(set(string.lower()))
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def normalize(columns_values): """ Normalize the column values from 0 to 1. """ max_val = max(columns_values) min_val = min(columns_values) if max_val == min_val: # Avoid dividing by zero return columns_values return [(val-min_val) / (max_val-min_val) for val in columns_values]
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import functools def dot(v1, v2): """Dot product(inner product) of v1 and v2 v1, v2 - python list Return v1 dot v2 """ elementwise_multiply = list(map((lambda x, y: x * y), v1, v2)) return functools.reduce((lambda x, y: x + y), elementwise_multiply)
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import inspect def get_params_from_signature(f): """ Fetches the params tuple list from the given function's signature. """ sig = inspect.signature(f) return list(sig.parameters.values())
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def _check_if_user_role_exists(client, user_id): """Returns True if User with user_id already exists.""" key = client.key("UserRole", user_id) entity = client.get(key) return entity is not None
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def boundaries2d(q, g, form="periodic"): """ Apply boundary conditions Parameters ---------- q : array of float The solution, correct in the interior g : Grid Information about the grid form : string, optional The type of boundary condition to impose. The default is ...
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def easyCommand(function, args): """ Easy wrapper to create a string representation of function calls :param function: the function should be called :param args: list of all the arguments for the function :returns: str -- string representation to be passed to *exec* """ text = str(function...
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def get_node_type_key(op): """Get node_def type key.""" ntype = None if 'T' in op.node_def.attr: ntype = 'T' if 'Tidx' in op.node_def.attr: ntype = 'Tidx' return ntype
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def fullname(clazz): """ Return fully qualified name of the given class. >>> from collections import Counter >>> fullname(Counter) 'collections.Counter' """ clazz_name = clazz.__name__ if hasattr(clazz, '__name__') else clazz._name return f'{clazz.__module__}.{clazz_name}'
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import torch def logistic(x): """ The logistic, inverse logit, or sigmoid link function given by $$ y = \\frac{1}{1 + e^{-x}} $$ """ return 1.0/(1.0+torch.exp(-x))
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import hashlib def Sha1Checksum(payload): """Returns the SHA1 checksum of the given byte sequence. Args: payload: bytes Returns: str """ m = hashlib.sha1() m.update(payload) return m.hexdigest()
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import re def remove_indentation(text, spaces): """ Remove at most n leading spaces from each line. >>> remove_indentation('foo\\n bar\\n baz\\n barbaz', 2) 'foo\\nbar\\nbaz\\n barbaz' """ if spaces == 0: return text else: return re.sub(f'^[ ]{{1,{spaces}}}(.*?)$', '\\...
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def has_duplicates(n): """ Check if the given list has unique elements Uses the property of sets: If converted into a set it is guaranteed to have unique elements. -> Compare number of elements to determine if the list contains duplicates """ if type(n) is not list: raise Ty...
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import struct import binascii def make_chunk(type, data): """Create chunk with @type and chunk data @data. It will calculate length and crc for you. Return bytes. @type is str and @data is bytes. """ out = struct.pack("!I", len(data)) data = type.encode("latin-1") + data crc32 = binascii...
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def longest_bar_len(bars_in_frames): """ DEPRECATED Returns the size of the longest bar among all, in number of frames. Parameters ---------- bars_in_frames : list of tuples of integers The bars, as tuples (start, end), in number of frames. Returns ------- max_len : integer...
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import hashlib def md5sum(file): """Calculate the md5 checksum of a file-like object without reading its whole content in memory. >>> from io import BytesIO >>> md5sum(BytesIO(b'file content to hash')) '784406af91dd5a54fbb9c84c2236595a' """ m = hashlib.md5() while True: d = fi...
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def _transform_literal_to_expression(expression, node, context): """Transform a Literal compiler expression into its SQLAlchemy expression representation. Args: expression: expression, Literal compiler expression. node: SqlNode, the SqlNode the expression applies to. context: Compilatio...
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def _midi_to_hz(midi_note, tuning_deviation): """Function to convert MIDI to Hz with certain tuning freq Args: midi_note (float): note represented in midi value tuning_deviation (float): deviation in cents with respect to 440Hz Returns: (float): note in Hz considering the new tunin...
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import typing def _generate_datetime_placeholder(schema: dict, path: typing.List[str]) -> typing.Union[dict, None]: """ Generates a placeholder datetime object based on an object schema. :param schema: the sampledb object schema :param path: the path to this subschema :return: the generated objec...
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def counter_to_list(counter): """ Convert a Counter object to a list of elements. For each entry (element, count), the element 'element' is added 'count' times to the list. :counter: The Counter object. :return: The list of elements. """ return list(counter.elements())
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import yaml def read_yaml_file(path): """Open a YAML file, read it and return its contents.""" with open(path) as fh: return yaml.safe_load(fh)
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def job_has_params(job_url): """ Determin weather a Jenkins job accepts build parameters """ name = job_url.rstrip("/").rsplit("/")[-1] if name in ( "pr-docs", "pr-lint", "pr-pre-commit", ): return False else: return True
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def topic_name(project, name): """Get topic name.""" return 'projects/{project}/topics/{name}'.format(project=project, name=name)
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import copy def apply_PI_params(model, fitted, input_matrix, output_matrix, target, exog, forecast_horizon): """ Calculate custom prediction interval --> Confidence intervals are used as model parameters. Intervals are added to the forecast. Parameters ---------- model : statsmodels.tsa.state...
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def create_task_descriptor( name, arguments ): """ Decouples the structure of a task descriptor from code outside this module. Don't count on the returned object having a consistent type or format. @param name Task identifier @param arguments Arguments to pass to the task """ ...
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def check_unique(item, array: list) -> bool: """Returns True if an item is not in a list :parameter item: Checks item against a list :type item: any :parameter array: List to be checked against :type array: list :return: True if an item is not in a list :rtype: bool ...
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def insertion_sort(arr): """ The function insertion_sort() sorts the given list using insertion sort algorithm. The function returns the list after sorting it. Arguments arr : An unsorted list. """ for x in arr[1:]: for y in arr[arr.index(x)-1::-1]: if x < y: ...
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def _build_atom_unique_id(atom_line): """Returns a unique identifying tuple from an ATOM line""" # unique_id: (name, altloc, resi, insert, chain, segid) unique_id = (atom_line[12:16], atom_line[16], int(atom_line[22:26]), atom_line[26], atom_line[21], ...
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def rr(y_true): """Return the reciprical rank of the first positive candidate.""" for index in range(0, len(y_true)): if y_true[index]: return 1.0 / (index + 1) return 0.0
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import re def shallow_word_segment(phrase): """segments the words and numbers from a string phrase. Does a shallow word segmentation method using regex Examples: u'ãbacon_abcd $123g' -> [u'ãbacon', u'abcd', u'123g'] Args: phrase (str): phrase that has multiple words Returns: ([str]): ...
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def remove_duplicates(li): """Removes duplicates of a list but preserves list order Parameters ---------- li: list Returns ------- res: list """ res = [] for e in li: if e not in res: res.append(e) return res
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import re def camelCase(string: str) -> str: """Convert a string into camel case Args: string (str): the string to convert Returns: str: the camel case version of the string """ string = re.sub(r"(_|-|\.)+", " ", string).title().replace(" ", "") return string[0].lower() + st...
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def surround(string): """Surrounds a string with curly brackets, square brackets, and a space. :param string: String to be surrounded :type string: str :return: Surrounded string :rtype: str""" return "{[ " + string + " ]}"
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def argsort(seq): """ Stable version of argsort """ # http://stackoverflow.com/questions/3382352/equivalent-of-numpy-argsort-in-basic-python/3382369#3382369 return sorted(range(len(seq)), key=seq.__getitem__)
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def iterable(obj) -> bool: """ Determines if this object satisfies the iterable interface, which requires it to support either ``__iter__`` or ``__getitem__``. """ return hasattr(obj, '__iter__') or hasattr(obj, '__getitem__')
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def apply_permutation(cm, perm): """ Apply permutation to a matrix. Examples -------- >>> cm = np.array([[0, 1, 2], [3, 4, 5], [6, 7, 8]]) >>> perm = np.array([2, 0, 1]) >>> apply_permutation(cm, perm) array([[8, 6, 7], [2, 0, 1], [5, 3, 4]]) """ return cm[...
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def datetime64_to_inttime(var): """ Return an "inttime" representing a datetime64. For example, 2016-09-29 as an "inttime" would be 20160929 An 'inttime' is used in statistics which return an actual observation to represent the date that observation happened. It is a relatively compact represen...
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def is_leap_year(year): """ Returns whether a year is a leap year - Leap years are any year that can be exactly divided by 4 - Except if it can be divided exactly by 100 then it isn't - But if it can be divided exactly by 400 then it is a leap year """ if (year % 4 == 0 and year ...
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import re def coerce_to_number(ticket_value): """Coerce the input into a number. If the input is a number, return itself. Otherwise parses input strings of two forms. 'SERVER-12345' and '12345' will both return 12345'. """ if isinstance(ticket_value, int): return ticket_value ticket_...
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def linmag(vali, magstart, magend, dur): """ funciton for generating a ramp of values that is linear in magnification vali: initial value (globally) magstart: magnification at the start of the ramp magend: magnification at the end of the ramp dur: number of steps (duration) """ out = [] ...
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def mask_characters(expression, search_text, target_text, mask_char): """Mask characters found by a regular expression with mask character. Mask characters will equal length of masked string. A different target text to search text may be used, but the developer must ensure that they are compatible. This...
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def get_version(path): """Get __version__ from Python file.""" with open(path, "rt") as f: for line in f: if line.startswith("__version__ = "): return line.strip().split(" = ")[1].strip("\"'")
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def get_assist_turnover_ratio(assists, turnovers): """ Calculates the ratio of assists to turnovers. :param assists: Number of assists. :param turnovers: Number of turnovers. :return: The ratio :rtype: float """ try: ratio = float(assists) / turnovers except ZeroDivisionErro...
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def _GetMachineInfoPlistValue(key): """Returns value of given key in the machineinfo plist, or '' if not found.""" return ''
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def is_active(obj, now): """Determine if an object is active.""" if not obj.start or obj.start <= now: if not obj.end or obj.end >= now: return True return False
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from datetime import datetime def fmt_datetime(datestr): """ Reformats a date/time string so that it avoids any special characters. :param datestr: a string representing a date/time in 'YYYY-mm-dd HH:MM:SS' or 'YYYY-mm-ddTHH:MM:SS' format :returns: a string representing a date/time...
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def filter_username(username) -> str: """ Removes '/u/' and 'u/' from a username. :return: The filtered username. """ return username.replace("/u/", "").replace("u/", "")
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def format(self, ndigit="", ftype="", nwidth="", dsignf="", line="", char="", **kwargs): """Specifies format controls for tables. APDL Command: /FORMAT Parameters ---------- ndigit Number of digits (3 to 32) in first table column (usually the node or element number). In...
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import posixpath def normalize(path): """We use posixpath.normpath to support cross-platform path format. However, it doesn't handle None input. So we wrap it up.""" if path is None: return None return posixpath.normpath(path)
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import time from functools import wraps import logging def retry(ExceptionToCheck, tries=4, delay_s=1, backoff=2): """Retry calling the decorated function using an exponential backoff. http://www.saltycrane.com/blog/2009/11/trying-out-retry-decorator-python/ original from: http://wiki.python.org/moin/Pyt...
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def generate_artifact_link(owner: str, name: str) -> str: """Generate link for downloading artifacts :param owner: Github repo owner name :type owner: str :param name: Github repo name :type name: str :returns: Link to api to download artifacts :rtype: str """ return f"https://api....
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def get_route_edge_attributes( G, route, attribute=None, minimize_key="length", retrieve_default=None ): """ Get a list of attribute values for each edge in a path. Parameters ---------- G : networkx.MultiDiGraph input graph route : list list of nodes IDs constituting the pa...
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def compute_acc(pred, truth): """ Compute accuracy """ return pred.max(dim=1)[1].eq(truth).sum() / len(pred)
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def is_sorted(lst, le_cmp=None): """ Check if a list is sorted Args: lst (:obj:`list`): list to check le_cmp (:obj:`function`, optional): less than equals comparison function Returns :obj:`bool`: true if the list is sorted """ if le_cmp: return all(le_cmp(a, b) for ...
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def _get_column_width(max_value, decimals=5): """Get width of column to pass to :func:`numpy.savetxt`, accounting for the decimal point and a sign +/-. """ return len(str(int(max_value // 1))) + decimals + 2
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import torch def cosine_similarity(v1, v2): """Cosine similarity [-1, 1]. Parameters ---------- v1, v2 : Tensor Tensor with the same shape [batch_size, n_feature]. References ---------- - `Wiki <https://en.wikipedia.org/wiki/Cosine_similarity>`__. """ return torch.sum(t...
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